From e287ad5e3323aca24dc731ded5037b1dc7334d16 Mon Sep 17 00:00:00 2001 From: Stefan Verhoeven Date: Tue, 10 Oct 2023 10:12:52 +0200 Subject: [PATCH] Remove plugins (#385) * Remove plugin files and entrypoints * Revert "Remove plugin files and entrypoints" This reverts commit 4bc29ce899333e8e525897f5a2803783af28dc3e. * Remove plugin files and entrypoints (take 2) * Fix tests * add rtd deps See https://blog.readthedocs.com/drop-support-system-packages/ * Remove entry points again * No longer need subversion, now use urlopen+zipfile * bump version to 2.0.0 * Add https://github.com/eWaterCycle/ewatercycle-hype to list of plugins * Prepare 2.0.0b1 release * Dedup heading * Use micromamba in ci workflows * Bump to 2.0.0b2 * Update CHANGELOG * Set links to plugin repos * Add plugins to installation instructions * Fix README * Prep for 2.0.0 release --- .bumpversion.cfg | 2 +- .github/workflows/ci.yml | 9 +- .github/workflows/sonar.yml | 9 +- CHANGELOG.md | 19 +- README.md | 12 +- docs/conf.py | 2 +- docs/plugins.rst | 10 +- docs/plugins/hype/data/README.md | 3 - .../hype/data/Rhine_HYPE/Rhine_HYPE.dbf | Bin 40372 -> 0 bytes .../hype/data/Rhine_HYPE/Rhine_HYPE.prj | 1 - .../hype/data/Rhine_HYPE/Rhine_HYPE.shp | Bin 1700172 -> 0 bytes .../hype/data/Rhine_HYPE/Rhine_HYPE.shx | Bin 1916 -> 0 bytes docs/plugins/hype/generate_forcing.ipynb | 821 ------------- docs/plugins/hype/index.rst | 10 - docs/plugins/hype/model.ipynb | 433 ------- docs/plugins/lisflood/data/Lisvap/.gitignore | 3 - docs/plugins/lisflood/data/Rhine/Rhine.dbf | Bin 1496 -> 0 bytes docs/plugins/lisflood/data/Rhine/Rhine.prj | 1 - docs/plugins/lisflood/data/Rhine/Rhine.qpj | 1 - docs/plugins/lisflood/data/Rhine/Rhine.shp | Bin 93372 -> 0 bytes docs/plugins/lisflood/data/Rhine/Rhine.shx | Bin 108 -> 0 bytes docs/plugins/lisflood/generate_forcing.ipynb | 567 --------- docs/plugins/lisflood/index.rst | 10 - docs/plugins/lisflood/model.ipynb | 598 ---------- .../BMI_testcase_m01_BuffaloRiver_TN_USA.mat | Bin 19400 -> 0 bytes docs/plugins/marrmot/MarrmotM01.ipynb | 449 -------- docs/plugins/marrmot/MarrmotM14.ipynb | 468 -------- docs/plugins/marrmot/data/Rhine/Rhine.dbf | Bin 1496 -> 0 bytes docs/plugins/marrmot/data/Rhine/Rhine.prj | 1 - docs/plugins/marrmot/data/Rhine/Rhine.qpj | 1 - docs/plugins/marrmot/data/Rhine/Rhine.shp | Bin 93372 -> 0 bytes docs/plugins/marrmot/data/Rhine/Rhine.shx | Bin 108 -> 0 bytes docs/plugins/marrmot/generate_forcing.ipynb | 654 ----------- docs/plugins/marrmot/index.rst | 11 - docs/plugins/pcrglobwb/Irrigation.ipynb | 711 ------------ docs/plugins/pcrglobwb/data/Rhine/Rhine.dbf | Bin 1496 -> 0 bytes docs/plugins/pcrglobwb/data/Rhine/Rhine.prj | 1 - docs/plugins/pcrglobwb/data/Rhine/Rhine.qpj | 1 - docs/plugins/pcrglobwb/data/Rhine/Rhine.shp | Bin 93372 -> 0 bytes docs/plugins/pcrglobwb/data/Rhine/Rhine.shx | Bin 108 -> 0 bytes docs/plugins/pcrglobwb/generate_forcing.ipynb | 302 ----- docs/plugins/pcrglobwb/index.rst | 11 - docs/plugins/pcrglobwb/model.ipynb | 973 ---------------- .../plugins/pcrglobwb/pcrglobwb_merrimack.ini | 466 -------- docs/plugins/wflow/data/README.md | 3 - docs/plugins/wflow/data/Rhine/Rhine.dbf | Bin 1496 -> 0 bytes docs/plugins/wflow/data/Rhine/Rhine.prj | 1 - docs/plugins/wflow/data/Rhine/Rhine.qpj | 1 - docs/plugins/wflow/data/Rhine/Rhine.shp | Bin 93372 -> 0 bytes docs/plugins/wflow/data/Rhine/Rhine.shx | Bin 108 -> 0 bytes docs/plugins/wflow/data/wflow_dem.map | Bin 126666 -> 0 bytes docs/plugins/wflow/generate_forcing.ipynb | 258 ----- docs/plugins/wflow/index.rst | 10 - docs/plugins/wflow/model.ipynb | 1018 ----------------- docs/system_setup.rst | 10 +- environment.yml | 1 - setup.cfg | 21 +- src/ewatercycle/plugins/__init__.py | 0 src/ewatercycle/plugins/hype/__init__.py | 0 src/ewatercycle/plugins/hype/forcing.py | 123 -- src/ewatercycle/plugins/hype/model.py | 209 ---- src/ewatercycle/plugins/lisflood/__init__.py | 0 src/ewatercycle/plugins/lisflood/config.py | 23 - src/ewatercycle/plugins/lisflood/forcing.py | 277 ----- src/ewatercycle/plugins/lisflood/lisvap.py | 167 --- src/ewatercycle/plugins/lisflood/model.py | 204 ---- .../plugins/lisflood/parameter_sets.py | 14 - src/ewatercycle/plugins/marrmot/__init__.py | 0 src/ewatercycle/plugins/marrmot/forcing.py | 172 --- src/ewatercycle/plugins/marrmot/model.py | 307 ----- src/ewatercycle/plugins/pcrglobwb/__init__.py | 0 src/ewatercycle/plugins/pcrglobwb/forcing.py | 214 ---- src/ewatercycle/plugins/pcrglobwb/model.py | 172 --- .../plugins/pcrglobwb/parameter_sets.py | 17 - src/ewatercycle/plugins/wflow/__init__.py | 0 src/ewatercycle/plugins/wflow/forcing.py | 162 --- src/ewatercycle/plugins/wflow/model.py | 159 --- .../plugins/wflow/parameter_sets.py | 14 - src/ewatercycle/version.py | 5 +- tests/plugins/__init__.py | 0 tests/plugins/hype/__init__.py | 0 tests/plugins/hype/conftest.py | 1 - tests/plugins/hype/test_forcing.py | 255 ----- tests/plugins/hype/test_model.py | 407 ------- tests/plugins/lisflood/__init__.py | 0 tests/plugins/lisflood/conftest.py | 10 - .../plugins/lisflood/data/settings_lisvap.xml | 389 ------- tests/plugins/lisflood/test_forcing.py | 682 ----------- tests/plugins/lisflood/test_lisvap.py | 142 --- tests/plugins/lisflood/test_model.py | 342 ------ tests/plugins/marrmot/__init__.py | 0 tests/plugins/marrmot/conftest.py | 14 - .../BMI_testcase_m01_BuffaloRiver_TN_USA.mat | Bin 19400 -> 0 bytes tests/plugins/marrmot/test_forcing.py | 355 ------ tests/plugins/marrmot/test_model_m01.py | 220 ---- tests/plugins/marrmot/test_model_m14.py | 215 ---- tests/plugins/pcrglobwb/__init__.py | 0 tests/plugins/pcrglobwb/conftest.py | 1 - tests/plugins/pcrglobwb/test_forcing.py | 361 ------ tests/plugins/pcrglobwb/test_model.py | 164 --- tests/plugins/wflow/__init__.py | 0 tests/plugins/wflow/conftest.py | 1 - tests/plugins/wflow/test_forcing.py | 343 ------ tests/plugins/wflow/test_model.py | 206 ---- tests/src/test_parameter_sets.py | 8 +- 105 files changed, 50 insertions(+), 14188 deletions(-) delete mode 100644 docs/plugins/hype/data/README.md delete mode 100644 docs/plugins/hype/data/Rhine_HYPE/Rhine_HYPE.dbf delete mode 100644 docs/plugins/hype/data/Rhine_HYPE/Rhine_HYPE.prj delete mode 100644 docs/plugins/hype/data/Rhine_HYPE/Rhine_HYPE.shp delete mode 100644 docs/plugins/hype/data/Rhine_HYPE/Rhine_HYPE.shx delete mode 100644 docs/plugins/hype/generate_forcing.ipynb delete mode 100644 docs/plugins/hype/index.rst delete mode 100644 docs/plugins/hype/model.ipynb delete mode 100644 docs/plugins/lisflood/data/Lisvap/.gitignore delete mode 100644 docs/plugins/lisflood/data/Rhine/Rhine.dbf delete mode 100644 docs/plugins/lisflood/data/Rhine/Rhine.prj delete mode 100644 docs/plugins/lisflood/data/Rhine/Rhine.qpj delete mode 100644 docs/plugins/lisflood/data/Rhine/Rhine.shp delete mode 100644 docs/plugins/lisflood/data/Rhine/Rhine.shx delete mode 100644 docs/plugins/lisflood/generate_forcing.ipynb delete mode 100644 docs/plugins/lisflood/index.rst delete mode 100644 docs/plugins/lisflood/model.ipynb delete mode 100644 docs/plugins/marrmot/BMI_testcase_m01_BuffaloRiver_TN_USA.mat delete mode 100644 docs/plugins/marrmot/MarrmotM01.ipynb delete mode 100644 docs/plugins/marrmot/MarrmotM14.ipynb delete mode 100644 docs/plugins/marrmot/data/Rhine/Rhine.dbf delete mode 100644 docs/plugins/marrmot/data/Rhine/Rhine.prj delete mode 100644 docs/plugins/marrmot/data/Rhine/Rhine.qpj delete mode 100644 docs/plugins/marrmot/data/Rhine/Rhine.shp delete mode 100644 docs/plugins/marrmot/data/Rhine/Rhine.shx delete mode 100644 docs/plugins/marrmot/generate_forcing.ipynb delete mode 100644 docs/plugins/marrmot/index.rst delete mode 100644 docs/plugins/pcrglobwb/Irrigation.ipynb delete mode 100644 docs/plugins/pcrglobwb/data/Rhine/Rhine.dbf delete mode 100644 docs/plugins/pcrglobwb/data/Rhine/Rhine.prj delete mode 100644 docs/plugins/pcrglobwb/data/Rhine/Rhine.qpj delete mode 100644 docs/plugins/pcrglobwb/data/Rhine/Rhine.shp delete mode 100644 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src/ewatercycle/plugins/hype/forcing.py delete mode 100644 src/ewatercycle/plugins/hype/model.py delete mode 100644 src/ewatercycle/plugins/lisflood/__init__.py delete mode 100644 src/ewatercycle/plugins/lisflood/config.py delete mode 100644 src/ewatercycle/plugins/lisflood/forcing.py delete mode 100644 src/ewatercycle/plugins/lisflood/lisvap.py delete mode 100644 src/ewatercycle/plugins/lisflood/model.py delete mode 100644 src/ewatercycle/plugins/lisflood/parameter_sets.py delete mode 100644 src/ewatercycle/plugins/marrmot/__init__.py delete mode 100644 src/ewatercycle/plugins/marrmot/forcing.py delete mode 100644 src/ewatercycle/plugins/marrmot/model.py delete mode 100644 src/ewatercycle/plugins/pcrglobwb/__init__.py delete mode 100644 src/ewatercycle/plugins/pcrglobwb/forcing.py delete mode 100644 src/ewatercycle/plugins/pcrglobwb/model.py delete mode 100644 src/ewatercycle/plugins/pcrglobwb/parameter_sets.py delete mode 100644 src/ewatercycle/plugins/wflow/__init__.py delete mode 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tests/plugins/marrmot/test_forcing.py delete mode 100644 tests/plugins/marrmot/test_model_m01.py delete mode 100644 tests/plugins/marrmot/test_model_m14.py delete mode 100644 tests/plugins/pcrglobwb/__init__.py delete mode 100644 tests/plugins/pcrglobwb/conftest.py delete mode 100644 tests/plugins/pcrglobwb/test_forcing.py delete mode 100644 tests/plugins/pcrglobwb/test_model.py delete mode 100644 tests/plugins/wflow/__init__.py delete mode 100644 tests/plugins/wflow/conftest.py delete mode 100644 tests/plugins/wflow/test_forcing.py delete mode 100644 tests/plugins/wflow/test_model.py diff --git a/.bumpversion.cfg b/.bumpversion.cfg index 936cd43f..c79d6faf 100644 --- a/.bumpversion.cfg +++ b/.bumpversion.cfg @@ -1,5 +1,5 @@ [bumpversion] -current_version = 1.4.1 +current_version = 2.0.0 [bumpversion:file:src/ewatercycle/version.py] search = __version__ = "{current_version}" diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index c4e13e65..b978a8a1 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -17,14 +17,11 @@ jobs: name: Run tests in conda environment ${{ matrix.python-version }} steps: - uses: actions/checkout@v3 - - uses: conda-incubator/setup-miniconda@v2 + - uses: mamba-org/setup-micromamba@v1 with: - activate-environment: ewatercycle environment-file: environment.yml - mamba-version: "*" - python-version: ${{ matrix.python-version }} - miniconda-version: "latest" - channels: conda-forge + cache-environment: true + init-shell: bash - name: Install dependencies shell: bash -l {0} run: | diff --git a/.github/workflows/sonar.yml b/.github/workflows/sonar.yml index 4208c8a0..1b570e9a 100644 --- a/.github/workflows/sonar.yml +++ b/.github/workflows/sonar.yml @@ -14,14 +14,11 @@ jobs: with: fetch-depth: 0 - name: Set up Python - uses: conda-incubator/setup-miniconda@v2 + uses: mamba-org/setup-micromamba@v1 with: - activate-environment: ewatercycle environment-file: environment.yml - mamba-version: "*" - python-version: "3.10" - miniconda-version: "latest" - channels: conda-forge + cache-environment: true + init-shell: bash - name: Install dependencies shell: bash -l {0} run: | diff --git a/CHANGELOG.md b/CHANGELOG.md index c48b5e43..c39f9bef 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -6,6 +6,12 @@ Formatted as described on [https://keepachangelog.com](https://keepachangelog.co ## [Unreleased] +## [2.0.0] (2023-10-10) + +### Breaking changes + +The eWatercycle package no longer contains models and their forcing and/or example parameter sets. Instead, models are now plugins that can be installed separately. See https://ewatercycle.readthedocs.io/en/latest/plugins.html for a list of endorsed plugins. + ### Added - Apptainer support ([#290](https://github.com/eWaterCycle/ewatercycle/issues/290)) @@ -27,14 +33,21 @@ Formatted as described on [https://keepachangelog.com](https://keepachangelog.co - Instead of modifying an existing recipe now builds a ESMValTool recipe from scratch using a fluent interface - DefaultForcing has overridable class methods for each step of the forcing generation process (build_recipe, run_recipe, recipe_output_to_forcing_arguments). - eWaterCycleModel.parameters property type is ItemsView instead of dict. +- Rewrote adding models documentation to use the new plugin system ([#383](https://github.com/eWaterCycle/ewatercycle/pull/383) ### Deprecated - Singularity support ([#290](https://github.com/eWaterCycle/ewatercycle/issues/290)) -## Removed +### Removed + +- Models live in their own repository as a eWatercycle plugin. ([#371](https://github.com/eWaterCycle/ewatercycle/issues/371)) - Removed parametersetdb module. XmlConfig moved to lisflood plugin. YamlConfig & IniConfig have been removed. +## [2.0.0] (2023-10-06) + +Everthing listed at [2.0.0](2.0.0), but without the adding models part. + ## [1.4.1] (2022-12-20) ### Fixed @@ -192,7 +205,9 @@ Formatted as described on [https://keepachangelog.com](https://keepachangelog.co - Empty Python project directory structure - Added symlink based data files copier -[Unreleased]: https://github.com/eWaterCycle/ewatercycle/compare/1.4.1...HEAD +[Unreleased]: https://github.com/eWaterCycle/ewatercycle/compare/2.0.0...HEAD +[2.0.0]: https://github.com/eWaterCycle/ewatercycle/compare/2.0.0b2...2.0.0 +[2.0.0b2]: https://github.com/eWaterCycle/ewatercycle/compare/1.4.1...2.0.0b2 [1.4.1]: https://github.com/eWaterCycle/ewatercycle/compare/1.4.0...1.4.1 [1.4.0]: https://github.com/eWaterCycle/ewatercycle/compare/1.3.0...1.4.0 [1.3.0]: https://github.com/eWaterCycle/ewatercycle/compare/1.2.0...1.3.0 diff --git a/README.md b/README.md index b4d13cb9..7d51d78a 100644 --- a/README.md +++ b/README.md @@ -25,7 +25,7 @@ models. - Supports observation data from [GRDC or USGS](https://ewatercycle.readthedocs.io/en/latest/observations.html) - Exposes [simple - interface](https://ewatercycle.readthedocs.io/en/latest/examples/ewatercycle_api_notebook.html) + interface](https://ewatercycle.readthedocs.io/en/latest/user_guide.html) to quickly get up and running ## Install @@ -47,6 +47,12 @@ The ewatercycle package is installed with pip install ewatercycle ``` +The ewatercycle package ships without any models. Models are packaged in [plugins](https://ewatercycle.readthedocs.io/en/latest/plugins.html). To install all endorsed plugins use + +```shell +pip install ewatercycle-hype ewatercycle-lisflood ewatercycle-marrmot ewatercycle-pcrglobwb ewatercycle-wflow ewatercycle-leakybucket +``` + Besides installing software you will need to create a configuration file, download several data sets and get container images. See the [system setup @@ -111,8 +117,8 @@ ewatercycle.analysis.hydrograph(simulated_discharge_df.join(observations_df), re model.finalize() ``` -More examples can be found in the -[documentation](https://ewatercycle.readthedocs.io). +More examples can be found in the plugins listed in the +[documentation](https://ewatercycle.readthedocs.io/en/latest/plugins.html). ## Contributing diff --git a/docs/conf.py b/docs/conf.py index 5a27cedf..ac487c89 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -49,7 +49,7 @@ # # The short X.Y version. # The full version, including alpha/beta/rc tags. -version = "1.4.1" +version = "2.0.0" release = version # The language for content autogenerated by Sphinx. Refer to documentation diff --git a/docs/plugins.rst b/docs/plugins.rst index 67997d87..b35fa4ff 100644 --- a/docs/plugins.rst +++ b/docs/plugins.rst @@ -8,11 +8,11 @@ how to add a new model as a plugin. Each plugin has its own documentation. Below is a list of all known plugins: -* :doc:`Hype ` -* :doc:`LISFLOOD ` -* :doc:`MARRMoT ` -* :doc:`PCRGlobWB ` -* :doc:`Wflow ` +* `Hype `_ +* `LISFLOOD `_ +* `MARRMoT `_ +* `PCRGlobWB `_ +* `Wflow `_ * `LeakyBucket `_ .. note:: diff --git a/docs/plugins/hype/data/README.md b/docs/plugins/hype/data/README.md deleted file mode 100644 index 77018261..00000000 --- a/docs/plugins/hype/data/README.md +++ /dev/null @@ -1,3 +0,0 @@ -# Sources - -Rhine_HYPE/ directory was extracted from tarball from https://github.com/eWaterCycle/recipes_auxiliary_datasets/tree/master/hype/shapefiles diff --git a/docs/plugins/hype/data/Rhine_HYPE/Rhine_HYPE.dbf b/docs/plugins/hype/data/Rhine_HYPE/Rhine_HYPE.dbf deleted file mode 100644 index d8928889306664cd3ae36304f60636e3417ae763..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 40372 zcmd6wORinF5k&>0kyemykQPU9!2hQyD25ThumVSbkygf-A!IC>NEYuq|gtNe)Xq6?tgxL@%fh@ 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zQo0nXU8T9dga4|G-H)Fb5Wfum2JwnK{LS)%v_`JI^e5wgq&W{!{Gj^fr|`cypuQdW z7i<6XuTPbZR{T4sgr`3LC|~bdkfV6mNiech^T`lQlKxm1!Q_6$+X>3|Yfq{O7To*3 zYV=gE)_dAWuui;&t8V*uIv15T;cBkIAxC}z!B?7d;1Qfw-$?lvbzk}}gX2?+Qc`nD6TYQBLkHypeForcing(\n", - " model='hype',\n", - " start_time='1990-01-01T00:00:00Z',\n", - " end_time='1990-12-31T00:00:00Z',\n", - " directory=PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/hype/esmvaltool_output/tmp_zrgvto6r\n", - "ecipe_hype_20230803_075729/work/hype/script/ERA5'),\n", - " shape=PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/hype/esmvaltool_output/tmp_zrgvto6recip\n", - "e_hype_20230803_075729/work/hype/script/ERA5/data/Rhine_HYPE/Rhine_HYPE.shp'),\n", - " Pobs='Pobs.txt',\n", - " TMAXobs='TMAXobs.txt',\n", - " TMINobs='TMINobs.txt',\n", - " Tobs='Tobs.txt'\n", - ")\n", - "\n" - ], - "text/plain": [ - "\u001b[1;35mHypeForcing\u001b[0m\u001b[1m(\u001b[0m\n", - " \u001b[33mmodel\u001b[0m=\u001b[32m'hype'\u001b[0m,\n", - " \u001b[33mstart_time\u001b[0m=\u001b[32m'1990-01-01T00:00:00Z'\u001b[0m,\n", - " \u001b[33mend_time\u001b[0m=\u001b[32m'1990-12-31T00:00:00Z'\u001b[0m,\n", - " \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/hype/esmvaltool_output/tmp_zrgvto6r\u001b[0m\n", - "\u001b[32mecipe_hype_20230803_075729/work/hype/script/ERA5'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/hype/esmvaltool_output/tmp_zrgvto6recip\u001b[0m\n", - "\u001b[32me_hype_20230803_075729/work/hype/script/ERA5/data/Rhine_HYPE/Rhine_HYPE.shp'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mPobs\u001b[0m=\u001b[32m'Pobs.txt'\u001b[0m,\n", - " \u001b[33mTMAXobs\u001b[0m=\u001b[32m'TMAXobs.txt'\u001b[0m,\n", - " \u001b[33mTMINobs\u001b[0m=\u001b[32m'TMINobs.txt'\u001b[0m,\n", - " \u001b[33mTobs\u001b[0m=\u001b[32m'Tobs.txt'\u001b[0m\n", - "\u001b[1m)\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "hype_forcing = ewatercycle.forcing.sources[\"HypeForcing\"].generate(\n", - " dataset=\"ERA5\",\n", - " start_time=\"1990-01-01T00:00:00Z\",\n", - " end_time=\"1990-12-31T00:00:00Z\",\n", - " shape=\"./data/Rhine_HYPE/Rhine_HYPE.shp\",\n", - ")\n", - "print(hype_forcing)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plot forcing" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "

    \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
    <xarray.Dataset>\n",
    -       "Dimensions:   (time: 365, subbasin: 227)\n",
    -       "Coordinates:\n",
    -       "  * time      (time) datetime64[ns] 1990-01-01 1990-01-02 ... 1990-12-31\n",
    -       "  * subbasin  (subbasin) int64 300027 300132 300138 ... 316798 316820 316964\n",
    -       "Data variables:\n",
    -       "    Pobs      (time, subbasin) float64 0.168 0.249 0.078 ... 12.31 5.288 4.083\n",
    -       "    TMAXobs   (time, subbasin) float64 2.575 1.106 1.791 ... 6.966 5.867 8.475\n",
    -       "    TMINobs   (time, subbasin) float64 -1.375 -1.392 -1.394 ... 0.571 4.921\n",
    -       "    Tobs      (time, subbasin) float64 -0.738 -1.271 -1.321 ... 2.874 6.006\n",
    -       "Attributes:\n",
    -       "    title:    Hype forcing data\n",
    -       "    history:  Created by ewatercycle.plugins.hype.forcing.HypeForcing.to_xarr...
    " - ], - "text/plain": [ - "\n", - "Dimensions: (time: 365, subbasin: 227)\n", - "Coordinates:\n", - " * time (time) datetime64[ns] 1990-01-01 1990-01-02 ... 1990-12-31\n", - " * subbasin (subbasin) int64 300027 300132 300138 ... 316798 316820 316964\n", - "Data variables:\n", - " Pobs (time, subbasin) float64 0.168 0.249 0.078 ... 12.31 5.288 4.083\n", - " TMAXobs (time, subbasin) float64 2.575 1.106 1.791 ... 6.966 5.867 8.475\n", - " TMINobs (time, subbasin) float64 -1.375 -1.392 -1.394 ... 0.571 4.921\n", - " Tobs (time, subbasin) float64 -0.738 -1.271 -1.321 ... 2.874 6.006\n", - "Attributes:\n", - " title: Hype forcing data\n", - " history: Created by ewatercycle.plugins.hype.forcing.HypeForcing.to_xarr..." - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ds = hype_forcing.to_xarray()\n", - "ds" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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", 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JQUQjZCXPCA3QuY0cr2WHYsRduABcNRDidANDozHAWcbNSblxbdMS198FWlkiRQqC5ysyVjZmwCjabxe2v09tapau7PdqXKj3rT5X1r6iGNs7Bes2XY1vHEX8xsKceN0loIM9UCsSBMxyQVg3eTlVU1LBmACUBECzlmYIuUZslG6e9hwfdLCbyUJr2PtMKtpiWCoaTfvEcK16hxuC1s3ZMgD5FGvSfpIXRWjM2G6fi8mbhOJ5F/16mjtmEloHzArdG+Yn9prNYbW3wG0fJBzA0qQpVN9RsJviPbdHoo3cDxMrxs5QvOPuOELJpoiY6c7JW1cY14gnNeMI0z6pt0N/PqVKcb884U7Joh0VuMKl67xWWURDunpJdxdNfxFvXq9jrerBC/sgoy7KJQoy6oIEfdBwiBUL6DllkGgMOmzDhcgGXV0juUXpOx9Yzfzd9CxUaIydkGLBYSDDDsYkHacN303aZ/W3se6W0Zbut2osrG+k28OiW0ZUEhYmMuxg2auBEwKrv5UQnLWqj++4fwXlYC85/9H65JhHEuY3IsSwWqqMycLf6/GBknDpmZKsbMxb8v3rmyMzXqnIjeawAG40BiKaujTHvczY4uMBrAmxrwAyMapWOAColSNafJy/9lHpju1wt3DDmWn7+NbU7wGAa1ZC816pbI+S3VhaElY+Ij0TFbm5jfHGxXjNcWcwJ153GVipIVwdcZSSHcOSkFu45YSmT2LclHfQ/iTBAMyrgWiTqhnvAOMaRIu1Ykb8GLC/ho2p6XNQsBnjsnhB25Lvotk1oXzMRpISK44j3Q4F980PoPdj4qDuyfZA9IEjZS1tnUUAY+CWAxIiq7VkSkLI974iLWdw64k0yZmWuLdmycFxL8zFxPBhfjpZ9rTPesaXUzSm0gYVk2U+JcVd9UU9TnFSDNIC7+NIzZdWwQiUMzBCAccT98cZuOWibBMgghiLUQCU6iCcJZZBhVuGO6pCY4DFcC1LnMspwdOC2hekdYsTX8QzcoaKkhwYC3cpkVZwe5i6wkg4TO6FO6JvNHxbEGYWA3KT0ZrgwgVQGD+ZI0L2AWMz1bmm9W35zjL9xniP3Er7S6KhRygg49rUeOJuOb0Wi4CS4fY0rbHGfEgcL6/LJfWyMsdJMlS3CWrlfSRzxvu7GjPHW8Z4kW1UsaieLZ+NI63P8n0fxmJ+WMxdjXcGc+J1l4CVm2DlWhrj4PgIHDEAB2F2Misbi6UjJ7KdMJ3EPGN3VtGCfplXA4nGYJrZe49kCY5nuA51CYv2OD/w9xubw+HhgqWOlibv2AsxheDx+pTYkgm41J/NrL/giwdRkwvWiOUfjG/PbnnTY6Wm4eJV4c653EuPtwjF8cVTGMQEZb+RIcFmEoWKJ/zKdaFJ9O3nvOSZfvGa2Hl/+fIurrztOIJ+lmTcU80vPNc66flbWhYjAMRajE1GYFdzEcYTRCt3pzyPhbJoB9GD0OQifbXPUJXjp1mt4OYgxh+8fBNvXq/jsfUqvMYRjDmFTy1wv4bYr6M7jrG1F+JEw4PbOIKQ2Ch1N3Gln8a9KfxfL9zM/H1u8Tx8y0Z7HKLhWThSauDLF1LrXnssxt37j/ngvodBxHF1V5Cl080ahiFDrbaCIOaJhbFicQxiAsshcC2SLMSfungVr9zs4ju+N5UMudSebB051VjKfbZhvNOTU7JHdVkIRaCYnqlqWJRU/KW+cRvy7HgtOWkfYvI9DbkFt7KEmPNEosL3akkmNeUxrO4Wetru0jYmJNdLNy4R47BKjZx1XBFYHTtyXtzuxgjZ9HjT+xb2FzTVn4lJ/JL2+IJgbagkC0nEleTPwJrdYn5YzF2NdwZz4nWXIKwsI6zWEfPUj7/bFwMsR7wMjS61a76luZmosdNYLGvB9XEMz3ZR0lyTW+3shFtystd0NeJ1s58f+MyMtDYwOGBwuImFtSnB8oXXmUzwVmbMkARmj6dQpHQog7/jAqvOYYhXEdktQiiDvV/bSS2YrZKDtUoJ270IkUcRajvmeiVLRvdkFmdbWm7ixtGEjHUDce7xOMKzm71cBt9iOW+dvNFNzVwPtrLTjX5PFUcTTdWO2RkWv7NJn09CSUob3BqEGISi3TGz8crOEDHjaI8iXOuGWKvY2OiHaPk2ao1j2OqF6AYMYcyxM4zR9G1sDyKsrz+AF17by/Xr7V6WbIwjjt1hAMY5GOdYbB2BRVNZjZ58prusivEgRj9k2OyLc3g2wTBkaEUcQy28IPYtbA0ilB1xTyoOybUpgojhei8dy0/dmJxpt1zO605tGO0/1jqaO0ZhLzNlpBpjCkMjKWhREos2TwnO7iD7HpdKaT+o1oWQ7c1BhIpNMYp5wsldiyRzpUsJllbO46Y2h5luQf3vccRx0q/hlqFxttzMV5S4tiPOeWF3sC8BaU0Rb1bw7PQYx8j0DkNJKqU+2pUd4YpsrAgyuiWfVW/Gvj/H3Yc58bpL0A1iIIhhEQJKJPGSA8wxRvzQiPHalmuszn1MT4xOSCxCEMQ8yRACANvYmpjB9bpKcmGgd4FlR4epd3RQTCNSRTCfjY7u4rmZr9+9NUHmYAKqkkCodrgFYrfTxD9vF6EkM+u1dHFbKNnYkRainVGcsU6a71KJOioB3SFxE4mKJelqiQKG9ZqHxVJ24RgWvCu9HXulrEVgS7OuxNqipffL8QTh3WlEXhEr/d6UB/BIzcVNSUzGMcOxuod//LtX8aZTCzi/WMGWHHO9gMGmBIOQYxylgdvbwwijSHx2ouEnWaQKz38pW2nhwrecxrG6j6Wyg0HIMAgZAq2PMpZutGLOEcQMZ1rCsjGKOEYRSwiGsmLvjGLEnMOhgoyoBIY/fmYDF56+Dv5d94PJQO+3HZ1sMd4uWMBPNrJWmO4EsWYA2NNIE0sIUXpv5k8tT1jYdDHnjmG51C3rlkySGEchLJINLLdoKpIaEI6qSzPv24w/1KdQBo6u08TQIF7DQs0zccxb1mu5c+aO3GfzCQCDMD3GdOGpYHoqLVwqmF9luX59guvnrsY7gTnxukuwM4wR2HGyMxvFDH/0ikj1f4sxee4aAdRvPya+vzVId6uOEUiuW6Qavo1BGONEPV0UN3vZc5pkr1VKu8qNbt7k3thnt7efRWwSOsFslrLdKbvB0iEsTa9sz6aZoxauHfmOlECmjot7s+vwqJp++2Hr4mV5/bcln93ojnFuUbrfSHbiNkmgWvg++4oI8O2/4wR2ZaD9H78g3I/XLmzjle0BPt7OktK/cN9Krj1fupa61Rbuyboa9S6hE2Z9wd4bFb/P7hQLYM0T59rS3Jy6YrijhCoJwSs7fWzf6OFZShC+4wQIoeiMI1iEoGQT3BoEoET8f61aR2/EcHFviIZXxdXOGL/5laxS/d6lZzJ/v7r9GI7VfXzhahsPrdbQDxmeu5ZaoXryvSiCdGsQ4uKueK4nGqVkk7QzDBPy1yrZ+MLVPXzTiRYoSSVPgnGE0e5GQroA4Defy4rW6nhkPS8HYVoxz7Ym97ubvbwbs+qm88DYkG+x5Xyjj0JznnltNw2Q95bEs2Gc49YgRN2zEUoLcgkWOpL0hjFHzbUmknQga/GKmdgkmJu0XlC0SRLXeHazi6t70zdh3/fI+tTvgazr3bR8K6I1lhuaS/J6Kpv4akfMu4Pe7DqAhwUBbqNSI+a0awLmxOsugUXT/wDAYiQhXCapMSdHtdPSB3LNy/6mrxEYh1J4lha8WXANc5Ojk5ZWKU8mau4+xOuQ8sVFFqNpqExR6p41QxEAjjcORngUEkuXdG0VWeDM93ew8x7s+Y27IgBbtxQulR3EnCOKhWVTtyqYLhlFxHpS0KnuUeyNxLu/IReCaCjch2cWDdXxgibqm/OWn71vPW5Nb4b+yCa9T9+ZvByo+1vSgqHVZsWzaaavehZFY6mM48uV5B4qrgXORdmtVslJdvzqXTY8GxWHYKFko2kEXNeP3Zv5+57FCpq+jZBx1FwK36bY1hbOc6si3smighAfb3h46ZZ4LiWHIuYcIeNYLDsZ69DRug9KhJVEvcNmw0d19Thils4jrSkB4UX90PysNmXMmKRJ3YeCZ0T4qPffGWtuU2N4eNoJGjLO9HqXo+basKgo8JG0Tb7HQRij6lJ0NeI0TfqBc1HZYdcg7w0/f69rNfH8bvaDXBm1w0Cfo/PPT3ynvA9qnrWS/iz+7sfzZfsbHfM3eJdAmXQZF+4V2wJWKmKHeGE3ayG5bym74CVqztqkacZ46QOegedcNaZFyjUsZvrXpsUNAK51pqRy4/CuxkfWJmcpFqEyZUE+jNVtP0JpQpHguiQMXyviddA5v9QScXsNjXiPI5YscGPpJlMwkzDUdUpywWEcKMlYIqVRdXl5Ees1L9emIvef7mo0PTX68ZNS9fsTLJ66ddeEyjTUz68WuXHEcGsgCOR61cN6zcP3PH4c5+SYGkUMJYeCUtHeMOYYc4ZmyUbEhDuwPY4Qc7GBWTeI+dHz2RJTS2UXo5ghjBkGIYdrbHiONsQzjRnQDxh6QZSQj2HIYFFh6egFER6TFqphxODZFJ5F8MJWPynl9NDRBoZBjFd3BjhaE+1Sls6DwnSXmfUWs9+l/1bzSzjFDaZOpV/DtProVjJ1lO9QdIMIrZKdbGgYT88TcxE2obfHtPibBI8jbwEvutXnN0XyxHrVQ23Kpm7S703oG4ZRLnZXZmzK8yiipf5WG4DDzqWHwdzVeGcwJ153CXxLuDZiDliOmBgWEsGs7ORZcw1SJP+vF4bdG2XJkW4BqzgUMbOgcxTXCPYxF0L9z6V90qqLsL/4YDFmHfTT4iyceHYTfdGufhqUy/ZoXTyjIpfYNCvCJBS5dYrQWBXuPn1B82yKhmfh1Z0hjtQ8eFoNPbOYunKRKguQntz64FGx8L+0WkXVtXKLZrVgYdIXYlOao671yQXN2qCv3WYhYQUV6F8ElXyiJ6EoN5TeP1olC52xCEoHxGJd9wg64xi+TeHbBL5NMwkvVZfiRMNH2aGghOD4QnZs1g2XsEWBIOI4s1DGKGKoOHZSTxNIx5VrEdQ9C45FEvdWxaUYRQz3LJTQD1hiTSrZFEtlFw4luHepkoxV16ZYqXs42yonVpNxPHkjYlrFC5+lWXxUw3IltXwrYqMC/sW1s2NRvf+eFoC6Y2ziVjTXvDoV58BiyUHIeLKhtEg6R1nEhmdTtMfpuRYMq7zeVYMYSV1OHUXkX9847BdOcZCpQrc2+8b5kmQBeSJ1D4ogqv/b4Ru3bM+zGu8M5sTrLoFtEdgWAWHpDsebEJNkWnWUKZpo9WlKVUMIUft3w7OEErM2Mdbd4nMm7dP+XjSFEbE/QTpsQOismy132g8OoZ/l27MNkbokVaoVqwUxXocJd1utHozsNlfEoq7H5MWcw7cJjjfyu/axQYhXK+J3ihz0I564excl4T66KtxnucyxApK0WNYWZyOLq6HVCtQJoG5lsSfIg9w7xZKjMhj1x9yRBDhgwPnFUnJcEHO4NkXVtVF1KTybwKbi82HI0PAoCCFoj2M0fAuUCHdYdxxjqWynemcSK/WsJEHDc1DzKHpBhKWyjWHEsaaRM/VMXbnxangUt+RzXPAtjGIK1yJYLNnoSetf07fgRQQMYiz78n6Pt0q40R5l1OdNy7eOoqFiblz6U1zcusVIWZP1ecPssQGx5b2m51yvZY/S+5S6dsmmaPoWhhFLCHTJoVC8JYg5egHDujZGzFbrmwRKRA1MvR1AcdKLOmcorZ3TYG5iisA1wmeOF2UAU+TMnEvU5jg+RKzqYSGI1+1YvOYowpx43SVoYYQ6HHBXTtxxiFhq2pgD3pSTUJNddsHKDpayNslEIDhRZqD9VGl5188GRucsXtr5goJd9H6usMMG168RU3VzOgKzBIkGq7098btJcJ21/Q/SoOLIpu0SzfJMB0GnIPC3CGeOCauUvrOu2xRVEoJ4jogb0vpJQ1M5B4AdR8h3nFsRLt5G93WUF06Kc8tadA8ebcCzSM7i1SyIkQlYaoVw2tlA9FYjlSqwJlgjbbuYcE4j8kULoBoz3XGcWNSUJdC3KBq+Dc8maDrAgFKUfQ6ru4lRbQ1BzBHEBFWXwkeEEWxUOldx3VvHsbpp4cpbjn2L4EjNg2sRLI03cVIrK6Ssn03fSjKN1SbIpgS+vJ8w5knfUvfnUDEu1cIYMg6LCm0v9Y6nlfKqF1goe4Zrt96/MfH3pUZeasLS3jczqi3Ye+L92830d9yYF/QNoL17BQAQlI+hZBORxSnnMd8i2oYT8NtXQavpeU0Xqd5dyg5FpX0FaJzIHFPpXM3dT+AL17Fnk33rth5kXDcPELpAZbH5TenpWJLagGMpvMvcN454zXFnMCdedwlUrcZE+ZzaSXpxZCwykbFTUxOQXrzaDGSOtNyUIOawHA/QxEnN3Z4bZycR/dsiDrXfnHNITyN4aTbl+mnxD2Z5nIPA9fbPVCqCeidFcR/sDsY9vC5rB+5q2YCxZ6HuurBY/t1lhEshkjoA4LnrMvPuSEp8nt0UC8KXL+/iQw+u4Ybh/nzL6nQB1ZM0W6KG1dPGUL0slq6sP4FfmQu2DrXo6un/6n30QpbEUMWM49YwwvM3uliperhvURSqBhgYsUDk+FDnowSIiYMoYmBOCcOI4fmt7MbgxdeyhZZdiyBkIjuz4blgpQaudvaS71WGJeEcFgGGMZKgb32DxZHqnin3Z28kCnersbfRHuGZCzuIGU/kX17bnZyJd99iXhy1Y8wDC1PKWxVagDSrZi50XJYT0oVtzQ1e0dgQml3iHTqJbAXNXJ9bTuaX+Y2nltXIRXkrc7NYVA1B9bOtQYzrnemhCu86UVA03DzflKGv+qvjSmuzFEFepGIMBvLdTIuj+1pj7mq8M5gTr7sEI9hwYSMIhVhiw7PwPy7sAgBudLOB6wulrBXgTTIz6vNXU2JxyijW+9YjaZD677x0C//rA8twtR3pn17eyxw/TSepKDj8cxd3Co5McXLGIF+FH33n8ZmOvzWYvFAcNWteHgCf11L/D4LzMkh7VbpjdwoU1g9jup+mT6YjlsfpsWWijI2PIObYG0VJHUYAePeJLPHaMIoiM6+CK5I8qcLrMeN4fquXkQ4AgNfa+aSLtqZzxZtZEn2lkx6/1U+vq7tVn9ooLmz+h8/dLPwcAH7wHcJC99KtlBR9QEpZvLY7wq99UWht/bW3H8e1zhiLVRdX2kN88gpw/1IFr3dGeMtaBSVq4eXtMT57dRdvWqlhGHFUHIqPX9rF//18Dc9f7udiF08eyy6+n76yB8+mWK95ePJGD+89Xs5YjxWpe3FnjJe3B3j6WhvvPSf0rp7Z6GIUM1RdG195fQ+nZN96ZK2Gj7+2jUbJgUNJ4q483irh6GoF/+W5rX0DwYFiiZLNfvb9n6hPVmPf6KXvVnVp3f1oVls4L0n+U5u6uG+2D/larOm6JCBbgwhfvt7BvUvVJLh+ZxAmoRh1z8Y9pSpe3knnSTMbVreA7QxDvKtWx7Vutr+e8fP3+v/83RcAAN/x4FrGilyEL17f3zq/rLmmTdLpJ7Fd4pn86SXhkXjvGSF0+7nXxfw+6BWPiTuBeXD9nQHh07aOc9xxdDodNBoNXLx6A/V6HRYVbgLHImiPlAp69hV5EwJe9clFF+oDkIn72BnGWC5bmQXAJCxmjJc+SRTFQtzoTg/+PkxAOQCcbh6sRqHCNIJyGDkJc3LeD8oFlqTOF2TltQ7RjiICV4TffFboNv3Ao2l2XcgEYeiFwp4QaP3kiBGDpu73Val8/+6T9aQfXpAaSxd2B/j20wu5GKGihSnUrmVaYfWyP/pv9fNuD4rv++XtfCFshQdknJu+YKi4yFHE8NyWyBK+d7EMzya43g1Qc23EnGOlYmNrEGG1bKPkUGz0ImwPQxyve+iFMVqehZiLvnSlE+Rcns/ezC6Kb16vpxIxhGC1YmcWaLUQVx2KnWEMi6blvTrjGCFjcKiIEVOxaaOI4dYgwrG6i1d3RliTRPWl7QHGUYz1mpdk9dUL3L/JMzlArFCR+1ihp2XlqVVEf3fmylKVLrKtKZujqmblUy7VjV6EIOZg4Ek/CRlP3m/dFTFgr+2lc5Bp8dJzh8YRx+mmm2vHckHs6pdviH62XHGLhaM1HCSOdUkjmpMSR9Rcq8o3qd8oi2e328GbzxxDu91Gvb6/le0wUOvSz1fPwieHt1uNeIz/V+/CHW3rNyLmFq+7DBET9cg4UrX40j5vyZYDVac+VTc7qPVJoepShGx6WrdpXtYniSIhUj3DqbCNh9TA2U8t2sS0yW9aavwkzKqcryZNRQCLdoujQ7gKnts8WKzbF6Xl8W+9LS1/4kG4TDrjGEdrbuaZms9EvSeVWcd46mZWbtzXtvr4rnOLueDgXsGz0gmV+fj1fqS3Se9djQkxSsrKWwSVIVnUd6quhQeXy/LcgkR9daOLmmvh3adaoAAWfBujmMOzhbvPtVwMQgaHirgiwsXC3/AsXG5n3U+vGrUbzy1WcKzugnHhqmQ82ycCuamiLsHxuiPcYCS9917IUHMtxNxJnqVNLVBC4FkE9y2Vkj7/8q0egojhW082ExcZmWKtKHIVmuT5oF1VzRf69cZGUJTqa3q/MV2bWi5G0l8sCix6VqYyQsOzkucUM9FOPdvbDDnQ57OSnX8Pevt0KB2vlmdNfZbAweaq8ADHqLbqJBNIXbdvpA2J3qarcR6NVow58bpLEDKOgPFkEqVxmv/y3GZ2Mn/YWHSS+oDaxNQ2FL+PN1LLUSCVnita6vfFvaw703Qj6cHx5rkB4JnNO2P+/r6HVmc6vjv+2lq8Pnl5ugvVxKmmWNRPS1fvjQKVaTMT7iD4iuZGnoar0h2hB0kPI2EpuLAzyBFsz8q+5wvS0vX//exlAMAHzraSZ/rJiyI54ff/9CL+yluOom/GBRZYYve0SgIPLGfd3ztaP9JdTPriNImv/78/8VrxFwD+3jefApBdWNXpYwb8iry3H3z8BBjn+MVf+wpaq1Xc+wNvRcO3sNkPEitSexzj6ZtdlB0LVdfC8boPBo61ioPPXe3gC5d3M9f+//yL/5L5u/cjfxl/9a3HcLMX4FjdQ8km+D81tfsVKVfwHfcuo+raePFWP9HpuzUIsDsMcd9SFc9t9XBMZkwqmYFr3XFGNuGjv/cirj39JL793/1IqoI+JSJ8vZq3JpvW9KXSFItXkLd46TA3QcqCpQuXXm1n552SnYYkKNfbS7cGOFr30R5FiXL90bqHnuyXVY+i4pDMHGaGQ+iux71hhDetlDJxkADQ8PLj8r98VSQX/IX7VrHZnx7jdWZhckFxBf2ZmMkNfTl/KxkhJQ/EZDa2shhGb2hW49zVeCcwJ153CUTmlCgCy7jYHm/JYtSmW+XYBDV1Pa7HjNHSB88oitHwrIwVyiRTnjV5wjUFXQHgD746OfsJAMYzlv5R+Ctvmo14TZsjJol0fi2hiI3SUWocQCvpICgdIGYHAKKw2D09jBjKjpXbcZvERmm0qXqCNiXJYvcnsmRQ+9YAW/0wp2s0TboAyD9/faMwqdzLpPdZOoAIrX7+imYNKctnybgQEo7CGONhCNcm6AUxyo4YGxYR53AowShiWK96CBlHZxzhaNXBOGbYNmKiolF2rHbHES7uDtHwbGz1RRFuve3KpV91bdiUYKHkJALFqxUP1zpjMIiNknIfhoxjqx8k4r76Yh4HI1RcKyEe02I1i6pJmJ76aZZq3a2viJd+vHn+onOZkjm69pc6vuxYGISxJM+puKzaDI4jnjw7BfO+A61/qfdrouizF2WR8SfOL+8rfFxUq9SEbokb7ZMmuSE3bUckOd+U60Fviqt2jm8MzInXXYKIc+lmFGJ/w4glOi5myrq5gKkFT18Im4Z/Up8kXYuiE8SG+zF7vGm90He0RTvlH5RWhkm4uo+y/STsHjC2SWFaAKzd3Zz5+qp6wEFxpJY9/rCxbSbeeqx5oOP+jy99HgDgWu/KfG5RUYKkZNMM2WobFkLV525eacvfpbIRVdm/OldfQsN/f07WpAj6/XtB1irqWr7277RRel+bFFdzboqrsZLILaQnUoSzZFPctyaCqOueIDPrpxfglWz4FkVIhHVwZyjygCtuWjao6dsIYo66Z2MQMqxU3EzBawBonnwo8/d96zWcapbwynYfj6zV0AkYXtMyIf/yY8eS+3el7IRyWbkWwalmCVWH4mSzlLgGSzbFQsmBRQmqDsVI3ud3vusUfqsfoOrShMi61uQpvigecpbNiW6lLHLxm+cqRYKUVpx0jMSG0KlOtG1p8y87FnyHouLQ5Do2JclzUvVHKxoxMi27mcLwhMCJhjmNviLq/72PComKxZKzbwzXpNhbHVmXujHHykLgKrxBxf8pQqjuITzAdb5WmGc13hnMidddgpJFUbLFxMI4h2/RZCDft5RdZCa5zEragDSD4/tGfMQwYhmScqyeNbObIq16fEPRBLM9mB6Efhi1eyB/H/uBT6kJScLZlesfWmnOdn0VlyKfV5Hy/WHEZI/UD0YAy4tiodA1hQgh4JzDr7oo2SQjDWJKlaiYqtUTQkqB8zQW65jU8WqeuC+pO6ijqDqBWREhey2txJX2mHSj3CRu957TCxPP25Tn1W9NCcUSQvCO4+LeFnwLPcrwkb/4ACghWCiJOCLXIiBExE42qIWqI1xInk0xCBlsSlB1LZxq+rls3R/4/seNdi5isWSjXfFQd8X4vl8rTr0iNzElm6LmUnBPJL8AwHLZQtX14VkEVTeNyaJI9cFci8CSJOtNRxs48VfeLGLXpO5CMCWmqOjVmHF7doHCe3Ks1sdUVyjK2FRQcg16bJ8ZL6qPDS7Fc082ZPkqpDFgugW/F8RwLZJJBJiWM0YIASjLXbtoplHK9VWX7jtuD7IRMXXSdEjDciJ3ot6F2jQoYkkOUXLssJgTrzuDOfG6S7A0vI663RE6XoQChID5IgW+bfReMzbAHgtz+A2eLgJLBs9ZJCnp6JIy1tgeqOYWueJma8yZ0ANxi1xK+9UPG0WHczWuB5NlA4rA7ckEhV99YebrD9eWZzr+gWVhxbFG4p0wN69DRsezicICwLja2P8gAO94/yO5zxwKNMM9sHILNBxmnpE12MgcO2oIC8z/+jYh4+FtvoQj5RYA4G2nxP+vvvVokn2r4yjycWivkZRk2JuvZL5bWrs/+TeJU5cdidJ/M3ltE8MpcS4qlkh3/axAvI892kgWXN8i6BOCS3tDEcNFPNToGNwuoUFjWJ2rYJVFDL0aegFDnYZokD7aVhPerVfQt0+gUc5abD79yq3M37vnl+HZBEfrLkYxx5Hh6/jWs4vJ98oVfSS+hdhaRgiakBifclguTaw7Q5mp3MQQO1YJhAjyVWLCmjwIY/zJC5v4wUfXQYgsdh5OJgvHrHxmaNfOZp45N1+c+Pv11rH8h9Hk7GZ76zoAYKmajilWyRJoEqVWUWtDPMvG0mkM4Yj7lOSNhANwKTDdsANY2zdhL57RzpPdZJEotbhz24ez+RrWm9k5z9rayrW57AhpkoOUPGtEe/se0+ST3YTcE/dDpN7ZdVs8p2NMxFb2bSFy/UZavOa4M5gTr7sErNQEK9fAnRKY5YCGI4AJskKNfQM1rDrcEiyLTJkbuKZhRQDA8YEgnXj3S7bRl7minfJ+xaTNorUHRoGo4TSYgqA6rFrxIj4NBykDokMt9hVJbsKCvB63gIzth/4BsytffFa4U+3vTV1ehBDwUkOIglI7IxRpikYqV8jvf1Uskj90pIq4IojCl6+IgPaXntuE87+QXJ8JyoswYWlaT9y4b1WZAQDsII0bZN7+hdFnjffdsxrydwS6U8mhwpLlUAJObXDPBTgDZWLhZm4lsTAx20NEXSDi4ITCIgS9gkQTHVXXRsWm2B3HQtuNUHzx9b3k+/ecFZpdrNwCYREsy0s3MYSCZNyu4nMOGw4ICABOCIi0DDkWycsoTHlQJskCCjL7JpRsAoA2Td+TsjCVy+n4M63V1lAkInA3DUJXc5dCx02J2IK1mx4Tc7Fh0PurvLeBXUUNNxMLGQDA3IBp33Fqg1sOmJ/dzFj9fGULNf59e3+LF3f21ypkvhaHZohUV6jcnDqSvMrLxTUR56p0s2f1AtwO5sH1dwZz4nW3IA7EbpHaoHEIwiL0LDGxEZK1Fg2MQGTfFlYWrhUO7hiev4bGyiyLADHLkDFzLJvLvL48F8WETitaDADXDhnj9fDabMZqfgiR1Gl4YWs261TVFYtZWYrcmpl/AHCAqiE5qMDa/aCC6/XsTgaOuh/h1phgwfey5VOMhVXFfN26JYgQCR0wqeOzJYV8R/0AO8MYJSfbaYpua1srgnzG+E63olpaFQW14QCEsHARdoaT3cZKTkJ3hamSWZelJhQg9JE6AcPvPiVI5nfcs4CKDfRjghoAUBtjTtEex2iPY6zBQZ2GgO2CcIbOOMJrW1mr0Wf/x5czf3/q3mW898wiLu+N4FoltKiN17ZSy+CxliAhj62vCDX6cZxo6tVcim7A0PQtDEKWtNsreRjJ92RRDiqVzZ+91sGXv3gN4//lIRBJUIbR5H7T8vMSMK8benyLU1x2davAiq3VQ+XceHfSl6YTnl0jxnDB1tobib7TDTlci2AQA5E8h6cRK88iQBwn2d1AnnA6mqI+i4EG5zni04jy4RKbofiMVsm+xGvk7x8OoLtyK5GZpJR9H+p6yno34uI9T0pEuROwcJuuxjeuqd9QmBOvOeaYY4455pgjB3qbFq/9QlD+vGJOvO4SvBbVUI3qiAKVqWOhZIsd3DM3s1aXvHikkhBId4+v7GR3rqFmprpnwcEo9lCyU5N/e2ikXxu7O92Fcbmdt159/NVbuc90HFQOwcT9y7MVqQ52Jwf5nz/5tpmvH78ym47Xp2TppYdWhculSAfsLet5F89++PKNg5Uu8gs0wnaHEQAbH3vtFt5/dtEQzszG2FyTtf2WloTb5FL9XnRkKZYkuH5ZuAxNy+eLBc9eD8DfrJzLfLejlRjKZsClfYWh+H1Oex51T7iU9TMqcdd+EOOK7L8VR9T7e8vJFm60R3hlZ4Smb+NmL0A3iPHA8hqGnRCfurKLbznRwh++uoO3Ha2DkBBu6RTG7THOLGfdp62j2bgn16IYhQzXOiOcaPi4ZK+gUUotHWpRe3V3DJsSbA/CxJV/cS/AKzt9PLhSRcw4qnIMbfQjtEcxWiULO50oeXZBxLB6oonXu2EShzlNbf2FW/lxrKRDFK7W7pn4+1s7qXVKXUd/391x9vxH6uJce3vpO/3qRvY9qnEDALWa6C8XbvZxpOahH8SJTETDt5PEjYhxVKtn8dKNdJ40s7RN6ZNe/R5s7WXnyFYt2z8B4E++Iqyh3/vQeqH8ho6Le/sn7+h1Fh3j5VxpC+vpPQtifo+l9fDpXfGbmiflJPZxb89x92NOvO4SlGW6NOMclBAwzpOaXaoEioIpaqjGsh+mS41Ds2Zv3eXV8CjYmGfci6uVbFewLdNUn/5NW3kdscaD0wlSYUHdA2C/+mj54ycTvMO0QYlZHhRqg6dS7R9ZzZOshjdd5b8I33LiYPFpvyezEbMZVg4WShbOtMqouzTjRjYFZ1UK+3vuF4G8BKnExINHxL3sPbKOkkNyGXDTpAuKoGeh1TWFej3OaJJ752xrcjxNOZGTyPcdXQKhKuUJTi9WcN9qDa2SLRXKXdBeCAKg7BA8slZD2SE40fAT/btByHC84eFtx5uZ83/yTPY9Pbpex1LZxqlmSWQtAji3lm6cVJ1FdV69yZ5FcLZVRsuzEDCeKadjEaHCb1OSJAucXBJ1IOuulbiHpkUGFulWcZ4dP9PcTEsFJXaymY7FP9arEbQMOQk901XpdC2VHbR8Cw4lSZZww7MSa4o6bl2TcjEtLWbGIUXar6dBxeDVPLqvMv1BZio9Rt+U2whj0X5fBs/bNJsFqp6NG75xy/ZtZzXODV6FmBOvuwRrpI86pWmgPGfgcsezZlgxfG5kDsnO7frpccueMUlwTSeJAg0SgTupxYsZ04ZpIaZxuku1Cuq3FdU50xEeQkIBACqYnCVVCD55qSGDfNbdfjjTzAeMT4NKv6ehsBydKNIBm9LGSWB2sWiuiW1pHdWJTNWl8OMhvu1YCWBh5uWa/EX1v1++ITKr6m9eR1W+AxXH9+QzG6h94HxO6kFl1+nYYen9mzIoVqxZCPT+oT2f0gQh38ePTCbEJFRFmLVn4It7HhEXx2uir9JxF0OvhrJD8Zb1Go6UAPAIjQrFqbKN2HJgxWOslz0QznDEdwAegtseLCLkND59JWuRc41sy/MLPso2QTfwsF6mIJyhrUmvrB8Tz2dNBlQvVR1sjUVbl90Y6xVf3A+1EMr4RSceo1T2YFOCOkaZgPPnrrWx5qYWkRGdHHdUVI3JTIKcVmarZM5DQKZvLRgBPoEk5l6YxsW995jRr1l6zh4R3x0pAQDDgs3AZawWYVFG8K0HVx4nYCaNEKZZiQjFkFMsu9l312H5DdFj66KfBTHLiRKbyMSnTQIv7ucAsLYory/n2kB6JFw1TtQtFcXW3SHcdnD93NVYiDnxulvAGcAZSDAAbFcE2svJw7OzA5SYQaByADt6yYs4LjwGkKSAUNBemj5N/OnuLz3d3y/IyuOHzVrcB2Qwo/SCM5mgcD2A+6Cni2fX/gLSid9MawcAbs1u8SLsYJPtyrpw1TiarSMiFCQaifqfsp8l5w2zZEnJNzwsta5ci4CEYkE5tyDe+5vuX0HJJshltRfwyaqmGG9aHC3tb71/QV8krQn6b1OyXdW5MrIUsn9bNF2ESTiC51ZwqlkWtf+iAcBZIuni9DaTbENwnp43HKBKbXBawjlDx+tthr5Y2eIgUQDPpiDRGHTUwVnNitqS1mvCApBgAObXUXV92f6ByGyMA3C4cCQBJiyCYzkgYSjbJh78Q6s1bHXGop3y3r0pAsAZMiLhGMkp9rTyNFF+UdX7+0RpF/1dm2NBe6+JRYix9LySzJFwAK42I5aDKuJsv46zc6QuJwHLhetWAUPd3rfzfU1lkPsW2TebkIzy8hwmMpmPZh+WY1y11XblscpMxrLHzfGNiznxultguYDlgju2mEB8D6HMVnryRnZAv3ktS3x8mfq+qcVpudZkE/448uFTDq6RratGGmTN2A5Tkp7vpY28ZWNaaRIgLbo8K777zOxkaRLIePZ6koE/mwTFnlTaVxbHzXF+sm4eQgBx64BlQlRppuzrZHAtF7diD0tOlEnhJ8bi2GMyg7Ej+pRDgFjKO2xIor7dG6MXslx9vpabX2j1dh/1DWaWSfFPzRX64j12ii1bnSk1ORc9QT5HWtalss4MQoaYS9dNdQWdIMZnr+5iqbyMwC6hRcfY5R7qjgVW88E50AlilGyKXuRgyRrjWlTCUSfG9SHw2k42M+1jT2dLZ/3oN53AILRxrTNEwyujVWrieieVLXhFZhaunaijQyrgDAhkPFrsVhFHHIzWEMeAL60HVQt4vcewUHIRwMGCK47/wxcu4QsvbGL7XadgyefGCrJqFZoFUil7xvEtOkUYucCaoWcVx1a2Pzhc9E19TJmVE5bs9Hrq9e3GNlzLwTDisOThlt1MXHIOESRyK0j7k226vbW2xAxYBMeQZjdpfsHO4alN0RfPtvyp4qcAUHWbU78HgIpGZK0oO4/GkkgqK9G1rngWx6VWXF+OzT4OJ0Z9GMxdjXcGc+J1t0BZvKKR+LflwpUuk6N1g2jFw8zfaodUspvJZzUj1V9fzGzqgga9zALc9LODedqAMVXuAeDl7WHBkSnOzxgrpVBkMTo0ZtQEA7IesINAlcghsjxK08/ft8NmdJ8CqDgHG6plP3+cZ1OQwQCNSgVkPMy4O0iYJQ6eXBSXpVI+iYPEbariZpTUhBl/RQd7uWuPIs2SauzUCU8XWTpIi03rFkFHc4frqDhTOqhsZ4YXyKZ6Nk3cZxQcFMCJhrhGw7NABiNU/ZL4btwHpzbq0gLV8ChIEKHp+QBiOJTgyl6237/34fXM3xxCC8q3KequBdrbTuK6gDTo2+7fQrW8iHHMk/bZlKDsUIwjhgD6Oxui6ddhEWmRlGPk2EIJ3pvW4Gp6Xr0pxIsUuLzNGMmMJTJ3Ak0PThIu3YqmhJ3NYzztXS80j2ZPWWA1aroexgxo+RQWk32GxYilK1LMZQ6WSulzpYFxHu1emV8DCYcoG8SHe3kNQLWhPAiBqJP9xzUZT7DsArDks6dDERLR8ER8GZGyEyW5AQpn1Ba8HcxdjXcGc+J1l4CMuyAjAJYDTihIPACXpm8zfoqYkwrLVq8XnxmLnGZ659TNuZhcJ7s7zel6aWtsUVCqWU/SxEHqmBUizFvXpoFVJsdkWe3rM1/e8mazuClSpaxETkH72RR36CTUDjhS33JSECdd+LUzZihzJuLP4giEp2SLGErjjlTWfmBZtJ8OdpNn+pZ10Qn+t/ecQcmmMMqBgrO88Omyll1Gh1mByqyQZrH7lU6wUgZ0slBuSereeRoxUASiFzlpbBrnKDkU5xfLaHg0LfQMJtz5LAIsB4QIV6/FIoBF8D0K2t0D7CV8z33ZIu43+9mNgmsRjCKOkw1flOliMR5dT92RNTlmWbkFJxoCdgmB1JfyEYHBgW8Jsdqk/NQ4AixZR5MApCfe5zefbKE7FtY5FT8X21Pc2gXEK4iN2KjxZPdZRqxYnUsnOAaRsWStVFZbST4zY8j0mUWR8UF1DR5h4MRCLGO8qCECTAe7iHVFfCMcQt/AMRA4g13E9WxCUJGA6lJZjP+YA62C2FYdBwm30Pv5RHIo5+qaLZ+NJM+qGoY1mt1yP8fdhTnxukvAqstgtTpi6oCCI+LpIqhMzgpnq4YVQE7eO5qrsW64CmMrjS3ojxlIZTkTo7PZze6+zIwbfeOiCxUq7OxTq7G7j5l+Eo6eXprp+GmZR2RC+Zlp6B1QMV6h4shdt2yHUxDnMpzxnEBxAd8ivChlFnQXXxBzLJWb4NQCqyxCjxE2+fBIWrGeuSkm929eX0ZIxDTxqSti4fztJ6/h3acWcovmfQv5e33mWhqj983r2XeZEfDV/q0HRod2scVrtze5vynyoCuYlF1BArrdMOnLo5iiOw5xoycW5eWyjapbwZhTxHBR9hyMOcV4HMOmBBVKwfwG2uMYC6Umbu5F+G8vZktaman+9y+V0R7HGEUMLd9GpbaCC6+lliC1YVmrltDhHsIxw/ZQxqBVbDiMoR8yRIwn8h3Ha4to9yL0AmGFXJXE+ObNDq51R7hvqYySLAD96u5kS/QDS/lnGxgaIZNKNgHZGC6VnEM1C6UZi06qUqVfIx8mldHJGpHncijBXgA0tO415hQDOac0/TJALYy55sYzG6u5GqOYwaqtJMLAyfUK7vXGVfH82qMoV5vUxPnF/TdU+obWMchhXxLusrQCKmtlxRNWYxVvxszEqTsISshtaXHNdbyKMSdedwlCYiMkNijUJMaTXZpydSgQU/FYLlRVbSC7hjtrqKkiL9khQngZt4CZbm3u7pjmnirKdLIK9KN0lJ3DEa+DBpUnxxeU6FGYVsdxEipTzlcE9dxVfAspCM7X4+UOCm+fSV9BBQB7mmxCyETgMeEcJBxm9LHNZ+IbxY6Z5YDK112TTKbq23AoyZFzMzMWAFa14O6YZu87k9Wo9UWikTAnKiYOVWfyu1xy8vFwgYyLIQSoyhi7JSfCMCJYqbhoeBYqFgdiDh8BRtQFwOEjAnVsEW8UxSBUyIFwDpScGKuGpfeIYSD1LILlso1bwwgLJQsAQ1mL8fPluCMsRsOKMLJdjCVxbLoUnAi5iFHEkk0ACYc4Vi2hEzCUHAoqswRPNEoIGcdCyYIrN23lGeMJTQmIadbZInUWri20ZqFqReBdrVapaZnSyZolCRrlHC2bAWGYtMfnQfLsOBfZ4L7mFuU0Ox/pLlMHQFyQ7VlU9eJ4Q1xvGDK4+1jtc9nmBQhJ2q58OTGzIklWLsOSYyHN2r3zIBYBuY0SRWROvAoxJ153CWIx58PhoTCdAyByglox5ggyNktNCPi6a8VwI1hOOuCt9haCxjF04nRSXoYhSGmUqNFJ2pGiDMjSdDIR02LLxX7oH6A4baYZUyZHEs4eL2YmKewLSRRjyVbsgkmSuLMHx9IDxrr9P955CgCw5KbPbckVmYkk6CcFeBX6layrTAWhf4fUL6LROIkFfLcskv3AShWn6k4u/ocE+QzUs810YSXMzDQba//WFk0rbTsNiheZpepkSyjtCTHfTPtapwAApypESGoAsDo3capxBJ3Yhm8T0EB7No6LESMoh324lgtQS2TSeTW4e68jrq/hTN3C8v3ZIupDo7+WLQ4Sh/CqHpx4jMDy8JCmy6fIKx13QEddlEoNrFfryX1wtww6bMN2S6jI0AM6bIPHAZqEgvQGSRjBamUdx+sNeIPtZLze15pc5L1bkK+h9xsAwJSSQ0UxXtAEWCeNHKIRL2KML1tP/FD9g3PQwS644yVUhYx7yRzH/LpI1NA2aYQZcbB6XyCy+q3JHAtIwtmaJHdTZDmSnxe4Kk1YWr+lRuYljIQAJSOhNkdUPreci3KObzjMidddAp8H6Y6JCL0fNaESLRgVQC42Q+lxUfM4DUTLDiOjLpwGg0vTSZX2shpXuaBaXcLiEEKkZErx6mmozkh8cvXhNNjtazNfPy7N6J6UkydRLrI4v3AV6Sfti32yRhWOSBFJfVdMwhG4Sk0nJPOdqb2l+lCzvC7/3gYrNQEALT+1ftBxN5EsSFCUjq/FaJnxQkyX98gUP87HZuXO259cUUAlm+ikTVlyaHc3iaEhcQAybKNSWYIVjUDCEZhXBR3swnJrcIOOKJgtn4laAMmoC2o54LaLmtE/xsbrpqM2SDiG65ZAxn14fg0NzZ2mwgkQRCDRCLQfJc+VjrvgcSiCx8NBIq3BLQckGIKEA5A4ApdWoLIjRD6t4W7irqXjyRYrvyB+kXY2jQ+mCBJX86SuKGA/OZUiJroVe8pcop47qyyKJBBCkkLrplwE7W9nzsUqWVmPjHJpHIEGg6Rfm9fLQJ6Te5VcMLwJs01F0DdQk+rKUhkXSmVMlypSr4ioGZd5J0EtAnobFq+5q7EYc+J1l8BqX4fFOmLiYgzc8UHkJEiMAFkeGIulL4OaDZFAHZ6eur9zA7Zfyy6EPSPwOcxOIvo1rVaBFWIfNx4fHazkTQ4z6oOZwokZFBTB3Q9Wb3opJBOs3AQAeOrZFrTH3rs6czvYATXIOkruaOf59ENqAV4FcW1FBDjrekcTFhPlJiJBH7bMssLCSQDAOLZg3XopT7xqeSuUbt3gpayllGp9IuM+0RekSZa+Kf2Nj8Q14+5eeri0NNCd10Gkm5LtbYHSa2D3vhvOqAOrfR3UKYGMe/AIBQ16QBwLDTTbB3cjYNQGu3UV1HZA9jqIW9nnN+RZImYNt0DCIVhlUVhtwgGCZpqE4MjMTrt9HayzA1KqwFKEcdgB9cric88H68vg6gURFB7vbAC2C1qR8WveUeFq3EklLej25M2Gd/SB3GeWpu0HSMIxAaSARGT6k9G3ElLWTsmd6eq2ulrMnPw9BUA6W6D+MCFt9NYlkETvTGSC6xZtk7BnSBWh4G4pl7hRNHdQOY751muFG4sMDkCIzCxiHZbU+Er04uS1lQyOyhqmvTfQ4mVRkNvRaCTzKtlFmBOvuwQkHIOETmoyZ1EyyXDLmPxYduBxOVGTA2SJpQcYoqyG7AGPs0RJJ3+8KMV/ys5Y/Gb2TD4AuezLfWFP7tJs88rM16crJ2b+DYCEcBURm6nkcBL22W2nkPcvCSAgyBMfdkTwcByC6/X47KwlTWUaqhgv0tsBFGGSfSZmFlBpgphuwCKxWE/LdGxnrSmknJJJRSoAgGhq9cQt7jd8SowXJPHSSbsidoTSdLGnFmh9QSQYcAbulEDCIbhTEuMnjkFYBG77knw5oMEQzHZBhh1wr5rr15b5mqgS0k3JQSY2Th3PGYjjgDheEulDvDK4WwLxfBDbAa3I9xCHItvS9UG8ErjcULgWASEALVWSd2xu2jLPsMhCY8ZUdie7z4jex5RlQ/+9OSf08xalnNCpPt6Hok/wpg9QC5zaCXkjrp+cX1j/hllib1re9OQNyxH3VctmQBfJoSQWNr+S3RAU4SAERW+XsRHkBvGCfHekwGr+RoFQAnIbYlzkQIWUUvzcz/0c/ut//a948cUXUSqV8E3f9E34hV/4Bdx7773JMZxz/MzP/Az+3b/7d9jd3cXjjz+Of/2v/zUefPDBQ7fzjcaceN0lIJzJMkHCzYg4Ah/KHY9hKTCtUUnX1idZY5LQJzgWjEBZBGjxPtyccI1JgWkWL7uITOxDvA5TJgfA11THK+5OdsVOgrV0ZKbjkwV+GlHabwIvQnSwIOlLe2LZfntVi5mS745Eo2SRViCGlhEk6QllAgXvd0Ck1UMRlq3BCGcQJy67BAV9QH9/0W7WmmKXNPez1q7MHpnN3m94GOR/K/sfD0aAJIM8CoA4BA36aTtZDEKZiKMZ7AFeWZCyUR/E9pMNEevugdperl97ZlXqKJTXrICP+gC1MpmkJBgk1+XjEYhfyVr/mCc+t530viDHfBSKagTynZVsApeTjHV6mr2hqI+yoeEOHkyWLrA04pWcU3se3MgtjHcF8abldD7LuZJ1d6Ecr6S2JKxJnGU2IElftlyw7h6ITvLJ9H4Tt7dz7WeahTQ5zWIluRahXwPF+Cn9OXkf6r6MDZp6r6bH488SPvGJT+CHf/iH8ba3vQ1RFOEjH/kInnjiCTz//POoVMS7+Kf/9J/iF3/xF/Grv/qrOH/+PP7JP/kneP/734+XXnoJtdrhQlreaMyJ112C4JUvIyiXQFwfbNCF1VpBvC1cBnQ3aykwJ0M1IVuLqXgj28v+xj56Nvl3dOVl2AD4WJugR6YVzRAX1CZ93s+7Dfk+C6Ryh8yKOJzdPTgJJuk4CKLrr810vFq4aK0p/jbeHQDQ1krus/2gv6tpoAvvAQBEm6+nn7k+gteeg9W6gridtWBYRluSvvWuM+LvYAT2wucBAGTlHADAsyzEl17M7fCjqxdy7XHPP5reg1HGavzc59Lv9AVfI3DEKbbYTLKEARMW0C3hcnPWTyG89CkAYvF1Vo+jt/4oGuwmgq9+QhCgOIZ75iFE7W2wzjZALfG71z4pLxDDWlxH3N0DMbSg9oxYvOWNi+DDPqz6MuJbG8IidPrxtF2SqAy++D9BKAUtVeC96ZsBAKMvfxykVAHr7oJQC6QkSUAYgFbq4KM+2LAPIl1gnSOPoz2O4T/zWRD5DO1jZzEJ7MrLuc8c8/gpYyZ4+pPpfchNX2YeMFxvan4aPPWZ5DPveFbpX++f9pHT4rPnPgPW3gYoBa0JVy7b3UwtQo4La3EN8Vc+lrbHsOCbFlVr+SiCp/4k277VvHWbvfgF0Zblo/tKugSvPr3PEQBtpFY2s586J86Lz9VGSfZxtQ4ohIM3LquRWgT0NixedEaL1x/+4R9m/v7oRz+KlZUVPPnkk/jWb/1WcM7xS7/0S/jIRz6Cv/SX/hIA4D/+x/+I1dVV/Pqv/zr+9t/+24du6xuJOfG6S2CvnoRdFZOFtbguJpmzYtEyXTrccB+o2o16QKm9fXnitbxv+m7wnRtg2qRK3/zt0xuo7b5oQfZazu1k4DBSDgAQX391puMtSXiKMH7hyZmv79z/+P4HabClFYh1RfC3SWwAHCpmotC9W4Dhjlz4739Xer3dq/CWjgH9XdhnH8m8y/hGlix5p0Tcz0BKFzS7ewlpb8uSJTd6Azz0yBOptUb9ViP+CtGR1PzPPv5rme/cN31L+ofepw9g5dJjx3JQfa3AysqpDbeSWlzi1XOIGQerLsO952Gg0gK6t0QWo2WJNo77gFeBW6oA5SZIHCC8/CLsc4+i62eDuMOxEVt04gHQYRuxW4Fz7Cyim1fQ0zQTqjJDuPTotyabG6Wd5Z5/M2ipIsg8Y2Cn3gwAsPaug3sVMLcC59rzIHURv8a5kHrx7ntrQor52rmJj8kZtnOfmRZQ0wKmw7vvsfQPGdqQGefD7AYtfO1ZAEDl8fdqF8gSVUW2ACCURN45cgo496hwVSpSfuwsiIpt5Qzh5RfhPfTO5LfTNo4AEF27kNkUAEB0/WLuHt0zov+y6tJUTTMA8EoHqM4xRR5HkUVFyPgxMRadyivi75awvtvdGevX3gYIvb0YLyItmJ1Oti94ngfP239NaLdFH11YEOPs4sWL2NjYwBNPPJE517vf/W585jOfmROvOWaDiO+Qi4+aXFTslpE+TAy3UxJ0qx9nxsBoi1B05QVB7rTFzupsGOc0XAx6qnYjGxsh2jy9K3GzdtoBQQtK7ky9jlkcXD/XIaxuM7fbrBhQFGNzmCK3B4wLU7pDdLiX+S0Z9wDXF5ZQ7frUsByp+DNV6kO3LKnYpDOtEqzejTyxKbivTFBzOfv8sy41ze2lq58XWK8AAK214s8BsJuXxGk0i4u9fkZelCaxkNGN12C7JdSOPASMqXhX8jmJHznAsAPiV8VzoRZI0Efc3gbxfCAKUULWItQwqzoEVARz2y5A7cQ6lT4E8Uz5sA/YjiBaKo7JcQHbAx9tgdaasK49J44NQxDHAR2PwFkMfkska7ite7FWdYBbNHE/khmTWpLC06p5UyyLmQLXBUXhTQtRYsHRrVorx40GsNzxxPUR37oKq7GYWK35eJRYSWljUbwPfQ6aEjpBKnUQv5KzIhMvv7lRGx4SDPdV9DuIVZp46fPMzQ3qGcp1gKjEHiUjIjN56eAbT07i+PHse/7f//f/HT/90z899Tecc/z4j/84vuVbvgUPPfQQAGBjQ6xTq6tZGZzV1VVcvjzZ2HC3YU687hKE1y4irJTSAFpKYcsdnenGM7VvqNxpMS1mgRqp+7Hm8rKXjyLauoZYi7kxLUW0nt3Jcy1jyHRLih9Mj0E6qA6VieDmbAHx9vLRid8dxtVIOlv7H6QfLxcL9c6K4jEO6jbMnPeAFi8lWEq20+fG4xicMZBSRZBPrf8EL2WtgG5TSASsVMTUwDrbSd/w+1vyGksgr2fdH4DhLpTQs+SiUdZCpvdrrhNFDWY/TI6fkqau4vL4MN08sF2ZLWc7QENYIa3WCvioBxqOYHVuiHJdwy5IqYZ4ZwPx1jXYi2tgbgmkswUeBiLWx3YR3bgEe/loUgYngZMlhKSzCc5i2LtXwccDRFvXUOVahrDKJqYWSH0JzC0lOmS8tggex8I9Vaqn8YNuDO6UQMtMJDTIsdf0LewMY5AFzfLY35v4nIpCBsxxzDrb+WPUd3vN3O+YNjeYpJ7J9+9ollFuaBLqRFtdm68cFe9KJ0+en4w11u8g3t6AvXZqYlv1TSahFKy3B2sx+67igrCA5BhqgU6rWwmAe1NIqjpGGyNxLju9kmmHda/ox2xDWOISknqYGNFD4mvlanz99ddRr6eW5oNYu/7+3//7ePrpp/GpT30q950pzMo5/4YSa50Tr7sEtLEAWimDUAucxaB+Jc1MrGQ7aW4nOVSuxtQSZRIvS7NScbcCWm1mdrNs+cz0BmqdujDgfZ+sO1Oh+qCwl/dmOp5OcTXGk6wnUxAdf/NMx9vbl0Q7GtL9U5BdSu3ZXQX7Ji9IfOm6MM2fO31/+qHlgr72JaDSFG4zDZbpHpS77q/eFAviI0h36dctQYI+89ouPnTubbk2OS99Eiai5XvSe/iK8b1uRdUyGXWrpV7IfdJvc1AWI81aqs7JTr0leUcsDBCd+2Z84vU+3rJ+FoubTye/txaPgEuiQEddRGvnYXU2wXc3QBtLIDevIFo5hzbN1qf8J3/wUubvf/3Bt8DqbiKurwnJmO0NfGknHcErFbGwn6IXgXEfNA4Qrgv3ln3tGRFUHwUg4RDh6n0AAOfmi+BuCVFtFfbVp0F8MT/86lMb+NOXt/Br70gJQv/EWyc+pvKlz+c+i1fuyfzNpXuwEPr7l+6oaRZqPpbEUSMovG5ogelkUGV1t44KLUO/loRZ6BsiYlnCeqRbhatZq3xGONj2RBKFaeEqGGOqfdHimaSc1iTUrnxh6vfi2hoBNK3jcgNNoyaAdD5XljEmtRBZ+MYRDGJ9bbIa6/V6hnjthx/5kR/B7/7u7+KTn/wkjh07lny+tibGy8bGBtbX07lrc3MzZwW7mzEnXncJCLWSgFhiOyLId0/s0lUMRwIjdkLFYViu5i40Ms4y1p5oT2iF6dpchnhgLuNJz1Yq0PaZuECq7w+7S5vRSjUtyF/Fa8x0vhmzMc0YmSKSeijLGz1YQG3dE8/Z6qf6YyQcI44C0HFfZH9pAeu5bFb53uuyMLt75sGEtChXo2dRoYFkvFNaEOPCtQXPvefh7Hd6wsaoWN+IeBOy6qboS7EiS46EIl0AgCiE1d/GucWWKM9C7SSzENFY3LftAdFYSBYEfXAAfNQTlpBRF3496z79rgfzkz+JRrDa10HiAJxSrFfTsbIsnzPxSgkxyWhZQWYx2yHsPZEwwbp7IFEIZ9wHCwOACbL9/rP3ouHZ4FEaF+l3syEEGRQQDVNjjp66P3dMcl8FiQ+Z8WfEBqn3n3FfmtUktO+c03K8sgh8PABxGYrU5Ynrw14/nS07ZcxfutsZbgnOyfx9uafuy9+P7OPOzZdAlk7nvr8d5Ny4aizKZ5hsEOR7+kZ2NR4UnHP8yI/8CH7rt34LH//4x3H6dPaZnz59Gmtra/jjP/5jPPqoiNELggCf+MQn8Au/8AtfjyYfCnPidZeARwF4JGJAiOuDjwaJS88ydmbxdnYyVQOYaot+LijWICRs1M/EcRWVtpmIAm2fRMR1Eg6sQ5XFrBIQpvsgc66t2ZXrnd5srkYVI5PE5RUkFZADWq8y551CNHSclynX2E0tL7xUB49CcMsFj4KMOyjnHpQLzZGq+H/07JUk4HmBi2PfebwO+9ZzeTJdYN3TSYTpNrbXT6Xt0N0u2oJtZnSlv51soVVZYTrBVe5SLqtCAGIMWL1bCMpNxIyDDwSBYd09MR6DEVh3B7RUEYTaEhuiuL0N1t6Gs3Iycb8qtA0eYXU3E2FPOu4jHo+wUNJqUcransTxwId9selSWlYsBo/E3EDtZhLzyaIAJHJEHGcUIu7tAQCCJS5kQKiVkDhaEECfPqgCq6FR2iua4urXiXRCuDQ3OjGIeCizKDMExxgKOnkPLr0ojq82EXf3QCu11EpkOyLTESJmK9q6BmeKqy+TwR3H4niZRagQbeTv1ZGSJ9xys6S9ANM00wqPN+MrDbmIJLxDzheRnPej/mQR1q81hMXrNoLrMdvG9Yd/+Ifx67/+6/id3/kd1Gq1JKar0WigVCqBEIJ/8A/+AX72Z38W586dw7lz5/CzP/uzKJfL+P7v//5Dt/ONBuFmJdM53lB0Oh00Gg1sXXwR9XoNsFxZEqQPqy06XbiW3Z2515/J/K2+J5oSc89pZo6psnSwcssBHbbBNN0bpkrKTIBeGDsoMLk7+5ijd0eH08BZj2ZTjt/zJ0s1tDr5rKX9sFufbZebFrYVfxc9FpUxOAvMgtST8D8v7gEAPricEmlWboHbHkaMwKc8Y4WjRvB1vyye3/O3xO/f2oyxR8RiqFwtT2308IGjdi5TdVSwjyuNU+JsljoZVVPrUKmdWlr0UjSmkrrCTnmyvlozlgRKK+cTyvfhRkP0iFjwqnwE7pTwTz5+Ce84tYBvOlZDyaHoBQx1jECiEQK/hXHMUaUxAlnk2YHQ+epZVZjVVL7jFz+d+fv//HvvwFHaRVxegC0TWH5/M31uvix+/s5jNRBCMI4YmpLgdq0qCICyTTCKeVL2yJbXD9wabIJEgf0v//9ew+uX9/CJn3x3Mkan9ZuisqamhdbsHzoG5fQ9RbLDV0lKdgOjULUiqf3S5DqbrrbI26M9AMA2qWHBjtBhKbHxbZIUAu8zC9W4h4GtzWfGFKW/pyDmaIa7GJez7kgvzFuShrbo+6Wwi6EzPTnnIJV1htrYrxs8TbnuVT9RMX3RwikAgHvtqwCATreP1lveh3a7PZP7bhaodekPHnsbKodMjAKAfhzhu5784oHbOilO66Mf/Sj++l//6wCQCKj+yq/8SkZAVQXgfyNgbvG6S8DdMrhbSYVOqY0rNZEKbg2zpMVZzLrMSlx01j5JlcAXHFN8L/17K7Cw4vgZscMd4xqRMXPp83dR4Wp3n1nn1uBwFq/VxYIMyinwpwRY6jFwB0UvmI0w1uUOvi+lFzwrT1JrZubbAUAOuD9SwqfjekpMgpgjCDkaHsU45ohJutOuGEYCX77oq7L20FvrQMkXfWdrIPrmq9t9bKytwmLZZ12y820c+yn5caOsVXWkySoMNSJFuHbeSnGyxJRa6BhYTQBAf5T2U0VAQuInykId+BgOYwyCGOMoRsmhaI9j1F0LiChAbQQxh2sR9GMLJYck42SZRxhyjp6h2xXH2bExCDm61SZYwOBXV+GN2xhrMWzqfTEuxphNCbZjsdiXKYFDCcaMI2RAXy7aVZdiOyrBZTGavoXAEoRjGMQYD2WZHXmTO1M2PCU7b8lwrSyZLk3ZkOmbMfXvDknZRNV4SWqjp+87fOOYWOvntpyfah7Fbmij7lJQLu4nAkFPjjECACyCp92PmcyjW2ddywJYwdJXYJXfk8+vTcqIh9PnMOU2nga9jdyYM1XRbFUNYdsTxLYlg/q3V4SFsesfsvzaNwAOYgcihOCnf/qn982KvJsxJ153CziX/8ni2FEAhxZPerFBiuS6iI7WaamhsaQrRFvUA1iU0d6iftbFYG6U9Z1IkSheyZlujj5ssVQynhDjMwGuM3mhmGQ9mYbhlPMVgROxGFSkyjUvSEKns5ZBAhBa+2cBAcAnXhEWwm871Uw+cylB3bXAOeAjAtNic0jPcFvIXfeXLgtL1V9apPBk/N6FXbHw/I9nNvA9966g6mbfaQX5rK8rvZRkno6yz7/WSgUrI41sWdqCNC4g+UDWMmKCyvQTPRi66orjhyFLSJjDI/QCYKs7wtXOCDQYoOGVQYMBSByAjrooN2sAZxhxAhqHaHg22mMGOmzDqjbw6St7mWv3O9kFvz0OsV61MYwYLELhhyO0R+n9KYtXlQ0AJpJQ2mPRdxasEOAEFgDH8TCOxPP3ZZ0hQggcHsGS77OzN0K/M4INltSAbE8pGm+SHgAIDWt2YeFoiUo97ZOqT+nrptnPLVkku65ZNDnJ9mt9nlJuUlpagEMJrHCQWFmdaAhbZfpyBtppZ6UwDPkVqkntUEJBB7twDemMonutSitNP2SY0BUTONH+4RquHitrkD8Vl6bKJgXKgkfkXCLf5RvppCKEgNxGkWzCDv/bP8uYE6+7BHTcBR1BxF1QC4hD2CXRaU3XlFmWpFMQq20KblJdcNIR8Sa6AGboGhOueT5tsBe5GvfDYcMEpk38RWDVyV16P5HXInRmjk1T9ePkRF+UzXmI8kkHJa6/91tfAgD8zPvT7LSYA50gRsOz0IktONr1q6NsDFBQEW6gy9uyOLC9nPSTW7K7PPfpF2H/5YeL4pxz8LTF3Vxo9oK0HZZ2slhrX5FVBgCGU1ZB9ZuiX8Y87b+2bcOhMbqjCFudMUAo9kYxWq4HOmyDBAOEHLCpJUgPidFjaQ3OmGXbDQBbrz6f+bs9ehwxB8YRR8UR4/zCZtqysyupCChzK4iMocUk0WCMJ9axTmzBpgwR44ipg758jsPeGL2bF8GIBYuIfjvNQ21u4IB8xvS0uqJF33U0C/ECzxJxleGrF4rOZf1q84yaw6x4DMAR9SmlVYjEQRIeoUoT6XMeDfJuw+S8tie8C2bB6oIEoDRkgIDsU/A5V/5oH+RejSJeyvIl9yxq/DFV3H2mq9weqEVBbyPGi/LbKLD9Zxhz4nWXgDtlcDWRUBskHKAqrUiRQXTqXrYzqwlUH5DdMPubhlbMt+ZSMDTAtZ1nxVimzAnb2mfXYy5AJqru7O41AGDO8v4HZX4wmShFC7MXvF6JZwuYVSS4KclDYdwTm50AHtTl6VQahZ/7FkmsPY72Lk017lvSnbJQFZP8uLYGdyxjppiw5tRWluFaNNcvi5iOTtJZNRvb42hWLs/SiZf2+YR5e2gyFA1VmWRSd1NrykgjauqXNOjDtkp4x9lFnFooY0hcuBbQj4GaX0NUbsEBw95YaGSNuAWLc1Q8gtA7g3iUb8PSmWw85rGGj4pDsT2MULE4mN/Acj1doM8uSIsqIYLMETcZa4HloTOMsUyHIG4lsY65FgElFDHjsMIBSrYgHE+88yT+2yiGFY8TwkbCyf2mgHflyID5zjLfkXRMB/L56iEH3AjUV5Iy+mYqNDqNo8UNhjWRKBPEDGWHYhQTODKA3aJWYtXnTgnh4unMBrVibHh0UhQQG05lMVege+hnxwIAUNl/D8I9+EEkc/RrGqRTcmWwkhjDthwHXFq+SjLpJJywGbkTuG05CT63eBVhTrzuFsQBEAcgcSSKZVMbtqRSphvPMfqyK03RxE5fZ44nhek5nHgsXJqaFcwySp/4NDsrE5ZOGOWCNPL9jGAHDQ7PYVaL07QitAdwBZioaQV9D4IkNk6658xYOQCHsngdtOTZsXMijk0nuoxzOPEYPbjw2Xjqlln1kpOLghA4LEiC4tdqgrw/8KZVuBbJuftogSu3VU4D6EmcdcNV9QVEe2+O7kqJixtrkckZbGqR1SUFSnKRs203JYOcwbcJzixWcLpZgmdT0DhESGxRrD4aCU0v4sOiBFHEULdicFC5aNs408q6oh95NKuL1vAsECKIJeEM3LJxspWO06WytAINt4FSA9Rxkzg7hwAOFe0EZ4m71I3HiFX27DgS4xnA+dUq9t5xHGBxEi/kWpM3PPuFBwBIsxIKoILfAcCS7dEtWLSftVarGC+d8JiuTS/SaiomFiwHNByBau52Eg6TuC067oLbHiwtvsyUk9CvaVkeaDDMzS1uQbZxKK1pFiETra9pmw4g86AlmBBjHlCxXapdvpzoVYKDWxOJL4eeS+e4a/B1JV6f/OQn8c/+2T/Dk08+iRs3buC3fuu38KEPfSj5/ubNm/iJn/gJ/NEf/RH29vbwrd/6rfjlX/5lnDuX1h+7cOEC/tE/+kf41Kc+hfF4jA984AP45V/+5YyY2u7uLj784Q/jd3/3dwEAH/zgB/HLv/zLaDabE9s2Go3wd/7O38GTTz6JF154Ad/93d+N3/7t384cc+PGDfzDf/gP8eSTT+KVV17Bhz/8YfzSL/3SoZ4FYRFIHCUxXtwtw25fBwBUjaBwa69YTbrka1k3saFjowXJWr0tsFIjM/DLsRETNjTM8FrqeaVoF7xPGZxKaX9V50LMyJXMyUyHijGZBfVZA/KVay0Uz7+GgtTvePZEg/rBQrzwzvukKrsmLWJxEZNULTVg9bczLiIzM3HFEb975wmx+7e6m8kC9+Cy6EMffOQI6jRMaoQqmBpmQDbLzXQb69fWywcdRPNt2ntJrqOXHpJWBMeOoZZnq3sT5TrFiYaP4w0XdleUU/Lk8SQcgQRDNNwAGFGUWZRmZrIYK40jcGi2X1f97KZk1eMg4x6WyxWQcRskjnCsnlpGlLQEGYxAuiN4fgOubCttb6Dp10AHuyDBAJZWlof4NaEtppGHxXIVixVXHK/02GqTRSXJuKAfGuNnmhyF/p7Uc8mU2DIsSknMlpYpWTEsrpm4U6kBV6oswupvw7cccEne6GA3iePi1AYdtlHWJVcMNyjRhIOdcU/MsUbfp6N8PGlF9TNqFfuu9d939g+L0PUOc1pjinjJticVDuTcareFtIrdnS3u9XYwt3jdGXxdiVe/38cjjzyCv/E3/ga+93u/N/Md5xwf+tCH4DgOfud3fgf1eh2/+Iu/iPe97314/vnnUalU0O/38cQTT+CRRx7Bxz4mKtP/1E/9FL7ne74Hn/vc50Clafb7v//7cfXq1aTy+d/6W38Lf/Wv/lX83u/93sS2xXGMUqmED3/4w/jN3/zNwmPG4zGWl5fxkY98BP/8n//z23oWJApEKjeLRPzBqJsqcJsLmmkFUhOgtqAXqsvrv4+C7CRrBnwbk6ZOaMzakeLDfYLrCzSeDgIyI0mZFozP9mYPrieLp2Y7Xro/kjiNAhKRE6c9CA4o3XN0QdaW0+NNWATueMmCl+lPZokY+R5bJfl5HCTGNpXdeG6xLBYDo8/EzWMwofdDYqjmMz0OUX9OWl8p7GsF7c6euOD5ygWPRKPUJcQYEAdolarCRcYZuOMJQhMHAOfgMq6GBAOQOASTRAgQZLFsxFJ++71Z1zgnFCQOYDslQU5YjKZGzpQVhdVWhQXadtOxZznJvXDHz8YoxlEajC3f59kFKaVihYXxVDkUjVlzvE2JW2I1TbpFWil1Kzr3s/ILyiIa11MyaJJx3fWtBGPpuCeSgbT3yi03EVNlpSaszo1EL00cYJRZ0/+OGUgwyI/Ngn6TXPMA8Vv7iUib7dJlUwDtWaiwDfV+lLC2HEum4v2dxDzG687g60q8vvM7vxPf+Z3fWfjdK6+8gs997nN49tln8eCDQj7h3/ybf4OVlRX85//8n/FDP/RD+PSnP41Lly7hK1/5SqIR8tGPfhQLCwv42Mc+hve973144YUX8Id/+If43Oc+h8cffxwA8O///b/HO9/5Trz00ku49957C69fqVTwb//tvwUAfPrTn8be3l7umFOnTuFf/It/AQD4D//hPxzonsfjMcbjdIJQVdvJuA/iismfsEgotk8Q5Mst3GpC1iY6y1Cg1gU4ue3D6t3KLGqRocps7gYPK4B6u7Ck1e+gMJMKMt8dQrh0VtDBnviHdPFQU5kbBQHFBznvAQN3tzrSKqLJh5BwCDrqioWG0Iz6NzVqDar2M+eU+DsYgltSokAaTW8NQtBKkLeOGH0OMOJejOMzFki9fJC+wLrF71PVMzwoVMkYEo1SYUrOQaIAFASUAFbvVkKU+LgHEo3B/BpIFID5ddD+Nsi4L0jssI24vp6JlwMAavxNOBPXCPpAHMLqbYHWUmud8vZZ29eEFcbxwHxh8dKtjZRFqTjvuA9CbWHpGXVS0mMLtzId7CbEPy7n45bSxubHAzGElM3SYxl0UiHnpJ164LxpdZLv39qbPKb1d58Iz0a3BCHu7YDIOY6wCEzOaVY0FtYqnlrnzHkgE88lnyUNsqW7SMFYVZZSEgX7bi4PYlFXRB4ASMcY02qjLdsRq2cqCVliETtMqMIcdxXu2hgvRU58PzXlW5YF13XxqU99Cj/0Qz+E8XgMQkim4Kbv+6CU4lOf+hTe97734bOf/SwajUZCugDgHe94BxqNBj7zmc9MJF53Cj/3cz+Hn/mZn8l/0d8BiDbwbRdsUwxkq5Yd0HE7+7cqRmtpMRUmySDa7i6+8gLs5aMZdXt6+enM8cwohJ1RAS9Qh8+VvzDA7cO5GgsLck/BNMN2POO5gOmLROH1FUFSPMKwHAIHDtfK4oC73JIrXDGZ4s2cgXX3QGtNUYRYOxc3yL2qX+dK6xYf9RJFbiUp4lBSSIiLSiERX+vTRsyPvvDrBYr360tAtvaoCVVoWe/D1hGR5UniAGCi9Eq0vQGrtYLG+jLKwR74qCfKGFmWIDbDLkg4BqEUlFKhKB6FYDcuAOUa7L3XwZeytQ0fWM5WcLC3LgAAeDgECYZg3T00ltL7LkE+s+4tRN09WK0VELnAK9X8eHcLxC8DsqwSd32Q9ibYoAtmO0l8XOXsWZxolMC3bySloOg0snAA4jWt/BItChTPEByDIMg26ee0WlnBY6L1W9WfiO2A79wAtx1Q2Rfj3c1E5Z64PtiwD+LobrzseNGrdBDHAegopzRfVNDellYmXqpPjR8FgHh7/7ki02+N8xG5yeAjQQhtOZckSvbyuXFTAuZO4jZdjZi7Ggtx1xKv++67DydPnsRP/uRP4ld+5VdQqVTwi7/4i9jY2MCNG8LX/Y53vAOVSgU/8RM/gZ/92Z8F5xw/8RM/AcZYcszGxgZWVvJq5isrK0k5gjcSP/mTP4kf//EfT/7udDo4fvw4ou2biEZl0EoNPApBXX/ipMeNz2NZDoNGqXVhWvkK1t4GK9cz5VjMgrG5kkN6UGjRwkj3cTUW1PE7COLd2dyD1vJkc/9hSgaZC8O+MJ5D0WR+mKmIFJQeKsL/7UFBivmt19M2hCFYbw+kVBGkXV+UzELXx0X85OmmeI7h0xdgLwsR0+ZILIpvP7oC9lq+b7JB3s1rL6bPI7h6IfOd/mwzC6NW3mUS4aS1yZYcReL09qgFj4VhUmMw3t4AoRbqJylIewg+HoGNRNkeSi2E1y/BaiwK0tPvApJ8sfY2WHcPjmXBMnTelsvZTQkZBmB7W6CtVbD2LcTbN7B4RiM3I3GvcXsbfDwCdztJ/2DBCNyyELe3QVmclnca9kEcB3zYB6dWQlAsQrBedcAu76VFq3eKSy6JZ9jMfaa/BwCIpowZW9+AqflmSh1SVfKGaGPEfI9MKxGmxr5z4rwgWo1FcE+RkwEi2Var1kS0vQHnyKnkt9wsNWuMw2jrUtKvk+sVlKdS7SPmfFiASfVGdTBt7jTHixoPamNNy7JckWy7ejds8MYRL0pIzoo76+/nyOOuJV6O4+A3f/M38YM/+INYWFiAZVl43/vel3FNLi8v4zd+4zfwd//u38W//Jf/EpRSfN/3fR/e8pa3wNKyeYrKEHDOk88ffPBBXL58GQDwrne9C//9v//3O3ZfnudlLHQKzvpJOFVBTngUCnIjJzOTtBA/O9kTea86Icot+KU0O4+2VsSkq5MEc/dlXEOfVGiBtWG/OmWHtXjN6hyc1g5an125njgHjGpPfmC4V4rcivu4LIrAjHiZSeiogGmNUNGKL8iGX4O9lCUGPC4mNhf3BNE+v3w0qbkXyPT+3iBCq9rMxcwVkVSdwJvfW600xsXsb8nnzgHiZgyo62Q2E1Xx7mnQT4nK4hpopYZbY4ZF2wMtVWCVKqLOYakOe/mo2AgxBkSBKJ5dqoAHI1C/AlKq5bSbrhruoxXLFXUFSw2gfQvW4jo6mjByRWYqWtUmuD0QY16508ZDwHZhtZZBqJVYJ2mpAuL6gphQmoz7XsBwozfGWlnrK1Pc66yykPvM7Jk2m1z7NDMPKIt6JpYqS8KsIhKtzUsAYGnjl9jy3fs1WIvrII6TWIVotZkQaOJXYJsWfs+YI/Uako4De3EtV0vSWsxmpAJIj4kCEX83BbTanPo9kJ3LzXldueXVZkW5S6m0QtKKeFZ2789ukew/L7hriRcAPPbYY3jqqafQbrcRBAGWl5fx+OOP461vfWtyzBNPPIELFy7g1q1bsG0bzWYTa2trSVXztbU13Lx5M3fura2tJPPxD/7gDxCGYpIolSbHCN1JcMbAGRPEgTKA0JQ8VbKTU25nJRctveBxblCbEzChmYXJLJZsuo14qFm8iqxb+2WiHXbnM2tc1pR2kClFdCeByQLEB8ai2EUnGX9F930I5ekDBe4CWJQLF9vYS38bBbBaKyK+JI4zJDv3TCQpPNOQC+BNmpBZpy2sH7XKOlhvL+9aHBekoOrXmkbOdeKv9a9cEW91SHOyvhtT7Srop9HWNdirUs+NxYi7e1geXBUZd5SKMei4ALVAPD/ZBEW7m7AqLRAEopC954u+YRQvf3jR6H+X98AGXVi71xCP+rBqTVTHO8nXKi5I9QhiWeC70jLkOIL4MwbYLri0kHDXFy7PYR+0UkusTPdUGe6pOuB7cUJaiiyuCkUjMrx+KfP3NJdu8UknbyqK2sQNMpNxdar3Z1nC8mlX0oB4FoNLhX/iio0F8adkNerVGlwfPI7z81iBTI7aeLF+J1MA/NDQ5zOTiBpzRULq5W+4TBziX4t2HBDEordXJJvNg+uLcFcTL4VGQwQ4vvLKK/jSl76Ef/yP/3HumKUlIXHwsY99DJubm/jgBz8IAHjnO9+JdruNL3zhC3j7298OAPj85z+PdruNb/qmbwIAnDx58o24jakIL7+EsFJKM1hsJx2khjUq54KU5nn7WBpvYi6KbDctEM3HI4Svv5KJn8rFWpixPxr5UzE0OorcFhkcMqsxNNxT+0G3opg4jKuRvOODsx0vF45k8WzlLQbqu5lwQIvX05ticj6tW5BW34To2U/CLguXjD75mwuz/aAYExf2RP85e+NS0jcG648AAD51uY2/4Lg5cl/klrLXTiX/Dl55KvMd1fpfpk9p7Ssk+QDIUj6DUoFLt7h+TrJ1Rfz/7GPgUtaA9btwzzyIy+4RrC2chPPc/0Tc3YPVWgbfuIi4vS0sI7YDevIhkGEb0Y1LYN1dxNs3YL/5vYiMTM5PXctuir517Tys2jai5nFY9WsIn/00Xmw9lnx/YkFYnarXX02qVrCTQoSVXvwKiF8BG/ZhuT7s1eMAxJiglTqcI6cQbV1DLF1QX9yKMY4Z3s1Y8l7pymTRYN0drWDd+/bM39FX/q+Jv6eDlJQlpEoPSTBIlXKh6ZZ526gmEd24lPxbzXNutYl40IVVqiQJQVF3L+l/8e4W4t1NuOfenN7bICuDocfF0nId0c0ruVjVeDs/Lt0zIrGLH38wGzdZgPD1V6Z+DyCJvQPybl1LzqGRdJVb0hXKOjuZ41j/DXQ1WgT0NmK86LxkUCG+rsSr1+vh1VdfTf6+ePEinnrqKSwsLODEiRP4jd/4DSwvL+PEiRN45pln8KM/+qP40Ic+hCeeeCL5zUc/+lHcf//9WF5exmc/+1n86I/+KH7sx34sCZq///778YEPfAB/82/+TfzKr/wKACEn8d3f/d37BtY///zzCIIAOzs76Ha7eOqppwAAb37zm5Nj1Ge9Xg9bW1t46qmn4LouHnjggZmehb10BHZVWyxtJ13YTL2ZRnayUotTRmV663LmGJ2QWMvHwAftbHD9SpZ8cqMifUbWocBiw/fJtOFTiu1Og10QyD8NRW7QpA1Tdv+TYM2YPQcln1CR8Rm9fKYTreddPPuBF2gMFYES8ZxJUxMuHfdgnTgPPurCOXE+YxU0A4IT3SZZnNpePpp7pqOIgS8fzb3zoslElwcwFzprIf2bL2qyE/vECwIAxr2JX1lHz4v/qwxTpIs9H/cScuycOI+4KlT4rVEHtLks4ohGfdDWMkApaGsVPBiC7FwFi2PYq8fB6gtpwLNhkW0ZOl5W9zrQ3wV1q+A3LsBqraDipL8pS903e+U4EIfC4qay+WpN8CiEvXIUoBbihigk7lAL3Ksg9mqwGEtcZA3fxmY/EGNdtisuFVcyACbIUhn9zDLioDK/1zZjyUZtikVHHZPZpBmuWn2eoprL1D56D1h3J3EhOkdOJa44Eg5BbCdjnTbdfrYel0otWNIKnGlfkXVdzb0sTjIcJ0GPMZsIfVNhENPkuajNtxzDSdiMPN4qzV2N3+j4uhKvL33pS3jPe96T/K2Czn/gB34Av/qrv4obN27gx3/8x3Hz5k2sr6/jr/21v4af+qmfypzjpZdewk/+5E9iZ2cHp06dwkc+8hH82I/9WOaY//Sf/hM+/OEPJ4Ttgx/8IP7Vv/pX+7bvu77ru5LYLwB49NFHASBTt1B9BgBPPvkkfv3Xfx0nT57EpUuXDvgUBHgcgkeh2BEx4SpQyxppGG5D0/2iCJqutWUGy+u7/5UTYP1uJpCVrmXlJGC4tjJiiQVFnqfJONwO4gLr2qGxT1ZS4U92827qaeAn3gQAoDfF7pe3juSP2byc+2w/xOfeeaDjTjuyb2qK4yQOwIMR+OIJoL0BILWGmrtuRcBXKuJ9s2AESGuBe0yQhPuXKwBr5955LiEDAG9oU4z5/LUYIL1Pc414mf04wRQLYCJJoMX5KAkJQmgSS0OkNtRKuCWsGZyBj/pJ/BQb9mEtCPd/tLsJ68g94N1boJU6os4OCKG5uqUPNY3GXL4l3FpxIMhTv4sT5fQ5UJkdyscDEL8KEJrKHNgeSDQWGXUaeBSCl+X4LNWBobAM3VvjuLdqge9WU9IzxVVfWFvQIEtFmapFx3KWt87r84v+HdeO4bUs+YFmmWJqo1RugQ7boNVmInPD97aA1ab4ftwHG/VzwfKZ+9A3XZUWeBSCGdnhrGhjJl3JNBzkdLdyuPHq9O+BqdZm1R7VDkuOAzUHJsH2RS79O4TbFlCdW7wK8XUlXt/2bd82tdL6hz/8YXz4wx+eeo6f//mfx8///M9PPWZhYQG/9mu/NnP7DkKevlaV4ll3D4yNQRuLoKUm4t2txGxvGzFe8cBwNcq/LV2rq5q1qnB9Ety5IRYVbcdHhtlzEmosolMy4YD9LVoHUSP/muDI+YlfxZ///ZlPR0+/aabjVcwKXxAuKFZQv42uns59ti8OGJBflesxGRripu1t4OiDwGtfyb6/KLv4ql19RQpM8fEI/KxwjVnSytTwfJBukFM15418cD3RjgkMV6TuctJdQURPjJkgLUEaky2hfFO41TOkTfVfKZIq2jYCGfcRN46A264QTm1vgy+eAA1GYmGMQ3CvCnv5KKLKoswSFGODDnZRMnSyBlZ2HFRWzsLqbIARCiqz74heOUBJCDTXQUZdoREm3W/ccsC9Cmh/B7xUT8RQ4+0bsACQShNk3EMks/FGx0Xsa5XFSX+Zpjxf5Bo2rUBFYQUK9srx9A95vehmuqmgx+/LXu/pT4rPNfdnbBAvp5a682IZZhDX14CNC+DHHkjGl8V5os3GvQrAWMbib+oQEs1axcotsFe+AvLwt2Vv6MKT+ZtU81YwhFVQEiuDxcnEL7m2rrXYKQ45iK+8LNosNwuKUCpX6BtLvOYxXncC3xAxXn8e4Jy4F06tAlZZROyUYDVWEL7wBQB5a5Jp8bLuE3EZ8esvpsc8/ET2GM2CRfvbII0VsHIzPX7HiPcwg+u1gE7aKCgZdIdE/eyzD890/LAxOfbHP/3gzNenmrvqIIgWTol2uGKi95EXno1mLUMEYEpN6AyorLSrL6q834F971sR+g04J+7PKKCbQfuqbZaszWnd8+Ykm9HpiUWx4pfBNi/nrSHnHocJcuFLyb+9B7Lf6+Kelm7lqmv9y9gQJO00LSUabCWWqolxxvK+2LOfBHnb94jvwzHiGxdAGmsg4RhR8yicOEDUPAbLckBbRxB5NfBSA9aLnwQ78iaQI/eC7F4FPfMIMO6DdrMWUXfxbOZvOmyDtbdBRn3E/S7cex5BrKm1q0oLrLIIVm6B2x74C58Qnz3wHjGuCBWE+MVPi2d14n7R3qsvg556GJYk96WwC+6UENdWktI65Nn/OfE50ZMP5Z/ri5/P3s/ZyRuPSK/qoMRRtVjOqJWNL3MeEFbbuJ6+uxExgus1IWdbWvr2mIVmaw2jyjLG0sJYXXATUsm9CqhbysTbjQ3FdI+k81MEitK5R3N9yDr9yMR75XubOW3D3DEPvmfq9wDAtA2qqeyvyKsqFB7deE18/tB7xfGSiDKznNsdBLVwmzFeX8PG/BnCnHjdJeBeGdyriPIfTgkkHMN69P0AgMjLijLSNxmuBznp0VMpSWHGTleVsgGAcOU8nK1XMxlErGUQFtOqpVm8ogI18Z49vZj0YQu7et3ZAtEdNlnhnVamt7EI0Ywlg5TKtFUWCz0Z5C0OZmzHQXDQX7hSqiBjzVw9idhvgI7aYE4Z8NIJ3xTMTCxUso103Ic9VqWGxA7ctQhw4k2gRimrojnWWp4SBK/XalxJF1ymW0cLJA/EjyczUSWTUGSFdc68CaESKC01QM4+JqyS1IY16oC7FdDhrogbYhFg2cIlunYGdNQGd0uIV87C3r2KuL6WK2kUGEW9rdZxUL8Osn0Z5MSD4MHAELCVFr04Es+3REGXBWHh4VCqrHsiC1laHhmLES/dA6uyKHS85PNibgURKFwgLRVUQIaT51TQD+0jh7DGIiXwekxfrtyT2pxprsbcxkSzBqoNQhUB4uYRuKNduOp7zrIFucd90FE61spm6SNtY0jdsnAzG+0rqtXYXxObNd9y9i/VU1Cr1ISVKddlxNGq68txZp0QSRax3EBY594i/t+dHN84xzcG5sTrLgG3XFl/jIpSJaVGro6Zgl5kFtDcW7pWlhGgHGtWFjrqIK4sZmI8cgVbJ6U2A+BxPkOxYu0z6fDD1mo8WKmc9PgpMSmHwDRXTRFUHIgTy2DxgsXtMG7XXAmnSRgJQqK7I4hbAgmHouzNsD297pwsS6IWNU7ttF6gbEMQc5SiUVowWl3HyVv39OwyUs4GJ+vvSt8YwNr/+Uwjr2pBpVrdzlgrFq2uRUcdcMcX5bWoDeZWEnLJKougvS1xj3EEOuqClVsg4Qh0LMsvFfS1cmi47Md9kGgk4reikRiXesmmobR4lShoOAAjNK3BOOqCuyVxPyxO6w1yBjpqi7ERsYRU2HtXQd2K0H1Sx05xUccHSXiZ5uLWMxittG3pBbL9QbWfaoQnNq0+2m/0cUL722BeDZC6bnSwm5Qk4pSm5bDUb02ZCj17kkXiWKN9RePSG4v+S+Jw33qN5ABWf93VmOnzQFLWLdFXS0oIibk16RdvYPk2QgnIbQio3s5v/yxjTrzuEtD+NigZJbILnNqIr4tgTVPYz5RFUEGXGYtOpZk5Rp9U+PVXQFdOZgramoHR1MpavHiolQwq0sOqTKkJB6R1xmbErMRnmstTL0tzUFgzkiT1nPVFMofDCKh6+VixIriWIDe6KjYfDaQauy2yXTUXYS4LVFlP5ALBO7dgKeunJPNeZRlk93qmTwCAVc/Xuou1fkWM46m2GOp9WhdTnRTcbcYPZXDzkjinrlx/Sl3nauIOYxsXhUBq6whIMIQVjoDuLZDakihK3dsRtSodD3zYFWN0sCcU7VvLsFiU11cz3i0d94D+LuJ+R4xPamXKd6lF1OreBOt3YNUWkoQOizOwqAJsX4NVqSfyLzyOYSlhWRanY/fkw+BuGXTnchrAHk0mC1bBAm6qt9PyZCuxpd8rUTVCtSQJI76RtUWGMBml8w41xpc+3vmelFXwa+DXX4G1cjIhVLSfSixwpwTeuZWUEwLyJEgv0M5tH6x9K+MWBQDezs8PySw42Nu3bNdBSl3pBerN2pBqzKn6mOp50aZUtN8QsYvxGyknQW+zSHY8j/Eqwpx43SUYPfcFuGVZc7G1gnh7IwmuN8vmmNlC8Ugc565qBG2KRYDtboJub2TrIO4jVKoLqBaV/9lXquEQ7jXgYJNZ5vgpIp3DV1+c+N0keGuzyVkoFx+fIolwGAHEg5YuasjsRz0omnV3wUYDuKM+hi8/mwmWtZtZV54i8bZ0awyf/RycoyJuSanee04Z0a2NXB1Nfi2vuUY1EhVcz2ZzUiedfqLBqPDzSYG99pSg7+CauA510/NYknTzMACV/w43r8M9dgaOX0G8uyn0oLZvCJV010d8U2h/0cYiWHsb1uoJBDevgHg+wmsXYFVqsI9mY7qI4RoNX/i8uM6Rkxg++yXY1Sr8R745+V6N7ejGRfDxKCO1wF9/GaRcFzFipUrSt4MbV+EsLgkJhWEfUUdY2SorJwHOMX7+CwkpppXJ2Z/8Un48mPGj8ZR4ImcptSIm8hr6Bs3IMgxl/6DamHbvyY6FUD5zIC0x5LS3EV67AKe9ncxTYW8vaSspVRB39+CsasH+U0IlQC0EV1+De+xM9tqahlhyD+r52e7+1TkOIFejj2OzakRCrOV5khqpsr+qzYk+Vub4xsSceN0liAd9xDyCvbAslLNZnAxSMzbJnABcVeNLs+iYqdWhtijSxmLO+mMen7M06CVoCurkHaRcxmEQvPyVmY63j52d+B2PZ4/0tNdPzXS8Ijxm3TUdhymDs19gr0JIxbnNge3d8zA4i+Hf90jG4jW+mF18XVlWSWU3hp0BHNk1kkzN2opUAs8ScFpkCdWuxcKshcW//y3Jv229VqN2nknK9dMU1dX40PuwIjTR9YupnpgULOW2L87HWFKeJ9q6hqDdReme+1JLlefDOfMg4u0NhDduwj11H6gh5BobGwzVf3gwgrO8itHrr8PTYpxUu2h/EcTzQf1KMlbto2fFPbAY9uoJRDeExcO/7xHwfgds0AWtteCvyDZIsm+vn07+PS0r0SoQPQ5fey7zd9SfvMiX35JmECsSoVtaTV0stUHMECSzTZrW2/CiCC4vPXYCPBhl4s/4cBGRJGnW4jpG167Dv0+LazT6YsY6SyniV1/MHRN28iTTf0AkLkU3r+wbI0qnyFko6PI45vNnUjl/+OLTAABvXZxPXTcRxbW/geQkbqfA9p9hzInXXYLxThsj34MbRqA7W4hHATw5McT77KTU4q5bIEyXQbSTWs2sUhlhd4BolJq6y6ZlydRc0hWXC6w5ukWsELOW/pEY3JxNwLQ6ZUHW7/egmLVId3ItuUgWWexYMDsB3G+3rSD1ODN9IdjeAbEugjZXRJFnzWI62s66cp0VaUWQ8UtxGKY7cOkCIdEYrLuXs3gVNyglIkEne7ynKYVPKgg/iaROsy50X3gBAFA5ohXhlmMk2N0DrYl3Gty8AWeZge9ugAUjxNs3RIH6cg3R9gbC/hDeoAsehYi3b4DYDuJBF7zfQTQaI97dyhFAy+jn0e4Wws3rsCpVxP0ewv4wQyaZlIJhnW0h8bK4jmhPuNFU9QrW3UOEVP+KdfeEC5HFYLubABNtsIMhrGCI8Q2tSkVY7KoFisthDbcMlfRwcjzR+KV0U0Ss/Pg2+756/462GeHGPKPPW7Fse3jpBbD2NiJdJJXFSd+KblxEHIaZzaRZgJoYAqpBpw/f1PEqqFuqzhnvbk7so8k1Cp5B7hjNdRu8+nT2Oznfh31BrFz5bMKrr8rvpfTI1ziOdRpuW07iNn77Zxlz4nWXgMcMPGYY73bhVEoIun0MNsUCWT2aFe7rXTOKE0uXiuWni1R5PTs4x3vpRMQ2dxGHESzNpTO8kU2LNydc3VrktfILrlOfvhskBXXQDoKgYBc6DaYoog7bn7HgNYRbdiYogqQWFEOgFECmrMpBUeTeLYI1FH1msJGSmmg0xvCFV1E92sZwM+umjkbZtij3jivLo9i+l7julKo4dUsYXruS6W8AMLiRf/YVre+69ew9jK+lbqX2q2mMl13Z373cvHf/7DudtCs1fM5Y0kfGe12wMBLf2S6i3S2MttvwFxsYbbfBwkiQs3odwV4PwBUMt9LnN75+LVeiihqLN+tsI+qPQCyKoNNH2B9lCILSZmq/ehnVo8sg7e1k7LHuHjiLMdpuo8TihBTFowCW7wqVe0oxevESAGDJr4A4DqJOO3HXTiNOwc38psI8Xnf7msiQX0k4e6+n/c5fzCZTeE3htutfuaYdk83Q06+vxmu8u4nh1i688ThZyKntYO9ZoXfVvPc0CKWZkj/cVM3X3PtRrwe3XsH4RjZW1nLzc5Ry74XdAdzWdEv1VLFZiXA37T/ms7Z8sTEc74pnQqSOpBo3vZcFoe6OZp8/5ri7MCdedwk44+CMYbjdgdMfIR4FSYyKSbRiY+Aluwrt8/Gt7M51tJ3u1gilYGGEWNuNEMOloMfHmNc0F2sAcDrTrR+HIT3AdFdHEbqXr0/8zq0djLzoGO/MFtzvHxdulM7zwoVXP38md0z3Yr5G3n5ovv0dBzpOpcSrXTMg3pfl2LA8L/fuzL6kYlqUFZU6Nvob4t/eyT0AgNPfQdgfggXZhSMseFe6Rc0uZfuAbgHTd8aW1veKzgkAYWey9WG818v9trImYq/iMEKwK+6je+UmKuuL8E9YYO1tDG5sg1gU491usvh1Lt5A9WiEOAxBSxUQ2kbn0gbqp9YQ9oeIjKLS3puyFQbC7VuIRmOwOAYLI3DGMpZCpVLOY4bOxRuorC8m7y7o9EEsitF2B9SyEHQHybHUtRH2R5kNEQ9GsBqLCWkEALs8mcSaCTT6s1Mor0xOmum9nm7WFEHT36M5b6kNpD4X6VZJ8zfq2rRUwWj7Msrrq8mmZfuZVxHLe2y/ehmlxUZaHB35fj3aTtvqLzZALIq+sVEwN7hAagGcRmAVulf2r3Lh1tOYR2aEPqjxZLa9fSFLEOPxG0e8CKUHK+E15fdz5DEnXncJupc3wF1H7GR9F+O9LprnxSLuVLK6WfqiCqSTpbvcTD4z3Wr6Irf86Hlc++RTsDWLxdLD92SON3e6ukvAXHABwFspEFX9GmDjC8/PdHz99PrE7249fYCSHgaOf+g7Zzp++JooFVQ9LgKP9R2uwjQrwiSEBYHrRaAPiMBtfUELe330rm4haHeTRVvBXBxLK1cBAK37hAr61lMvo3lOxuRIqwZ3SigfXc9Z4cx+CQDlY2nJpOt/khXn1Bc63XqmEyZngvXLtLbpcGvl3PnVIls9tpw8/9b5E/CWFuCcOI9o8xqsm1sIugO4jo14FGC43cbSwyJmsHLiGKJOG9FghOrRJew8dxFr73woV3+S17LjwDt9L5y9TfAwBHEcbP3Xj2H1u9I+SnzxDL3dLoLuAMSiySYlGo1BKIW/WIfluyhJC1L/xrYgD3IDpZ6Xe88jYG4J1LETQlY+MTmeavvJZ3KflbQ5BJg+Zlr3ncx9NtzaS/6t3oN5rtb5VFjVtEzpGXTq+JXHbPiLdUS9XjIPufVyYkGLgxC3nn4Viw/mNzmTcOvpV9N+LbH11Mu54468R+igjTe34J84NfWculdhEjL91twEyXtTG53yejZRQz1P1zlc2MZhQK3bzGqcuxoLMSdedwn85SZKnov6qXXY9ToG124kE6oZFG5aLRRB04NDTevC4kPppBT1R2idP45oOEVs1J3cNaJhPlZqcO1GwZEpSsvT5SYmoXZidf+DNHgrk+upxcHsWY1FZVWmwT+WJSlFU6Tlzy5rMa0OnQ4lYBmP03fkVCtoPdSE1ViEXfEz/cR8vuo9qZ2q5XsJeVJEK26sAVGYSxworxfE102J7audThe+3uX0OVfOpve6/XQx4awUWCcUlItLJ4Kt+04l/1bPhsUxWDBK4uf8xQZKywuJ5YS6NizXAXVsoTp/5CTsegOdl19DeW1RuPyMbNNc/cq9TYS7u3DXj6H38kuonVjJZi5K4uHWK+CMwfJduIviOcb9LsLOAMFgBLrYSBbtRsUX7sflFnqv30zIKbcccLcCp1JKNmuTkhMAYOGBPFFhhrvMmmKpLq3m30FpOSULxCDmiuTrrmRTKkeXih5Ky5izcgTjvZfgLK8msaY8Zsnmsry6hMHGTmbOcprNzHm9Bc3taTsglOba37+WjycdXBUW9PKxI1MTFYDUlTr1GD1L2qyLKd2hamOg5v/Ft70ZALD9xacAAMEbaPGa485gTrzuElSPraBW8mD5LmilDrfWgSXjopx6dudoZt+o9GyiiZg6VUNDR8/wcmwQi6J2Mp0owp4hDTAlA9Br5ScYXTagEIcoUA3MTryUBaEI06xhkzBr6jahe+L/KhOpICDXXGwOgqLsyCKo2CzdNcJjBne1iWjrGqjtZBa+ylpxMoKK9WqdP54EBKs2uHvXEcpC7jqK4tD0QH7TwqBriJVW0j6tZ4+pTYWJoow8BS6D0/WYMvU+wq2bsGU8omcJN0p45WWwQVcEylML6Hfg1hncekWMFdvF8OYWqL8Nq7GI0nILnDFQx04y6xQc4xnwsQgbEMH6I5TXFhBdT4Pf1TN11o7DquwCjGG8KQiK22rCW/LhNqsi03IgiKRdLqG8voqw00H1+GoaE7ZxEcQvw65Wk6zGaUkIRdnJo9dey/zdPDuZ8OvWPhXfpL9vWs/2rYX7T4n211MSZLZPT1ZonZffUUtsCFickuRjxxMiRGtNNM4ezViTcsXVtb+J62Ph/lO5+Lzm+bwivF0Wv4v73X2zopNN1zRoY8ZMmFGxf64x36vjlDWyaON7x3CbwfWYW7wKMSdedwlK99yPUqUMWq6BVOqgjcWMTo0O21iEVcaOr2n2uPdkaxzqAqnx9gZopZ7R+LFuGaV5TLFAzXJhpmED++tMHbawq3MAbZyDtqN1iMzKabIFRaBrMui7LxcgrR6mwmGUp5mp8D0BcV1qbR3XSvB0d2Gvn4Zz/+OIr74Mqi2O3jmjXp0kNLwlrFylKMxJakQLJ+Ccuj8nF5ATY0U2S805ll24dAkSPevsIIkEzsnJAqq0LKxn+uKrRFn5eAj3jKhRyKNAyBQsHwXrd0ErteT/PAozCzutvQznwXcC3W2h6eQ4YP0u3FPZduiFmgHAve8x0BuXQCt1NBuLwuqoySlQFUtXa4EP+6CVGiwZN2avHAUPRRtppQ5rQ5A84rhgwz48eT5llaWrp8DdkigZJOO3phL2gvFQNixk9tqJ3DHJd9p9KOKlX8+00qoEG6ptjoghx8H3tLgxSQytE/eDXPgq7HOPAip5YdRNNjW0sQhaa2X6qSlsm6m8Ybkgrg/n+LnsMSZZQ5pQEl69kHMrmygisiYyMU/G81dyGfaKeJ8JEZNzuSKpb6SOF6G3mdU4j/EqxJx43SWgtRZotQJSXwJ3S7CiAFwVsTUWanImuyPijnAH2O2UPMWGkCMNUpeNfe5RxFdfBtMy7uyT9xeeM7mmXsqjqAzOxDuTaByuq/FXn5zteLs4JggA+GB6OnghZiRecU1M1LYsPROZNTABWHuzuS+BVFdr/wbI4tbabt5ePgp28mFRjqrUyCiO85ezcVd88UTmenw8TOvvqdJB1Ia9djpHIBXp00EzhD/rjub3pgkD9JjWJq1kkHM82y+TY5z8Ipmca1XEZdEwtaKpfuHaLvhRQZZINAYNhoiaR0RJGmqDLZ8FjwKQq8+L/9/zNsSOB7J5DXF9HSi1YNcWEV96Lomp0hG0snFPfu8WQC3QahOsuwsex2BacWYluMoBoLaEqLIIKiVM4pV7QDgD7e8gri7BrkmNNacMmzOhgh7HsE+/GQAQlZrgtgfLcpOSX7Q5mSwUjRVzlE5zVcYtjXipPrWSxorGZhmyKzKG6mRarD72s/2a6kWkJaFkXhXWfY8j9mtpPUXHA2+KzUHklsCvXijsfwky9TE98OAruTFlCpoCAJfPzwGAxj6bywNUuWBmpQMNZq1I70ExPtT4cx4TtXudN7BW4zy4/s5gTrzuErB+Gwwh7FIFIBQ8DJNdW06CLldHUboatIlkWqkdbvuJSKSCe8QQHjUnEZ14FU0e+5TB4QWFtQ+CmS1lZLJgX+/ilYnfTULr9IP7H6RDZl0lpYPGBZPklALPk5CpNTcFXLqYTQuSygbjXiVTxihXKkpaBtQ7jne3YMnjuSyuzdyyKKNDjHdaoC+kW2tHl7PxWqXH0sQFVY9OXEDL1JuwUPEp9RyLihknGmSVGiJVdmbYBvcqSZ1UVWaGyBqP8e4WbAAkCkBrTXC5MHJqI97dBDn/eK6/jaKsVc+3HLin7gMb9uGcOI/w6oXMAq1+zQkVY7YUJZZDFofCUsMZCGdgroiA4m4JPI5AqC1qFqrzEYJBxFHXytKYZXt06LUs0+MN7a2rk5M6rCh1eSUlenSyZcwh48siWL70QKrcnyvto7VdyUNQQgFCQcf9hHCTcJgeSyjivU3Yem3OUtb6pPcJGg4x3ngd1sNG5vZ2Pk5VJatg4djEvphc4wB1ZTObAWPOnLSRUTV7mS/DF+w3TsdrjjuDOfG6S2AdOQerVkVcaoDbLqhWm890M5nFiRW49puonJ14LH0nSSjo6im4mquRGTtPc2EjmoWBeVWYmFTQO/3NwVxlJpxj9+x/kIa4OTkmpXputnMBAJbzmVvToBbBWO7Gi95VXGAF2w/7PV+Fa5KfHV9NiTSLA1F7MBgKgqMRP+fE+czvlQWizYRbaOGeh5Mdt1r0NnohjjSP5dtUQL7ZYvr8Svc9nPt+P0xyy8b+ZOuDPRQEW18omXQD0f52QiDR3wYrtxDbPlBuibqK1AarLMKKI7iOA8YZWHUFTmsVkeWIGB1C4Jy8D5wQhLWslWU4ypK+Wm0FtL8DtnQa9u5VOCfOY6j9xg0lIRx1ETePgDslsAVhSWJ+HSQOQAkFd/ykb9FRB9wtg9suGGeJ2G1AXQzHDFWvlhQ7RzjZLRU18mPFXBCmUQ2mWx2VZWNKLGfpAVGpQCdX3KiXqIrMA6mLjbklIBiKguHyflipkfY/asE5eb+wSErkNjzadRih8O9/S2a+BJC4oDP3KJ85n5JFm9zLQTaX+hgxSCfzZd1OeYyqghBXBBFPxsKUzeXXGkJA9fBZlMSaXt/yzyvmxOsuAYlDkDgEHeyBxIHYgcsOz83Fx9xZKcuYtgPNHaOBhmMQzjLuQTrKWshyuzE926mg8LNpJjdhTnIHxaymatqfHNPC90sAKDrfAQlPcry0NCqyUtQefXE58Hm7B8yEXJC7ZH3hoRR0JIo8s3Kr8P0lh0qrgetLF1gUJM8grmtWtMFuzqqa6X8SuhXWtPPpz1YnWDphmmRFsPeuTryHhOzqli+5eSEsgrUrLZ/dbVDbhx0HoMM2SDgGD/qieLEceyQOYO9cAuvuwAYQl1uCODAGEvRhsaz1oWpkA1u7t4BoLKzYw64oUaQfIO+PDnaB7csgfjUpiO7sXQMrN4Gbl2A3l7MLMIuFtej6yyArwj3sxGO0fB/0xWfTOMwpxevjorFlECdT7iFzbz0tC1DNVbr70nh36r5JL9UYNC1e0Nx9TF6bBEPQoAcejRIrmtXZSK5FwjE4i7Nj1bg21YpkM68CFoW5sVkkbGxpx0yzsgL7z4FAOi8Aea9E8n71PoG0P6vrk+CNK5I9V66/M5gTr7sEbG8LLJJFUgFRKkSVEzECZHNBnCqDSS++bEyYzqk0Vmb87Gfhnn80UzcsNspXmIj1eLBWnjiYNepMHLTkjQk2Y4wVpqR8H6SIrYlQxaUcECrIWAUWhwXuC/vIIdqxebC4sIUjjwIAgs98IvmMVoWURKiejbbAmAHxkewH5Xf8RQAAHw2A60KbzA4FsTqyfBbxp/8nIuN5FklesL4m4WGmz8vzAqmQKJB1k8YFyv/A9Hg99Q70+CT/sfcAEO9TCZiyfhekVIHz6HtB+zsIr18Sz2nrGtwzD4pMtvYzIsieWsDN1+EcOYXRM5+Fc+I84qc+Du++x7IXX8laEKOblxFvXYPT3UNw7QLs1RMotVPSqBb/8OoFsL1NgFqwVwWRCrZvALYr7vX1tB/SpqiVqTJPVYA+ebgFizOE+rHlyZZm++wjuc+iC181DpoSk1Tazh2n22LM+DBVckcPwKdGdqqercpHgmCQS18V48h2k2SXsLubaHrZy0fBRn2wZz6Znsfo12FBdjG/9kr27wLiFT73GdHOxmImJrYIB9kk6hnN5vZHufRVUgdXFQ7keFBlkFj/jSNec9wZzInXXYKb//33MfBceM0qiEXBggi188UFn81YhGBbCu499Nbks+HzX84c03sxFSL1WjVs/8FvYaCJHa6//9umtk/PQDPrqwHYt27fQQrIFmHjd397puOnyU+YStUHwdK73z3T8arESP91WauxYDIev34x99l+cFoH00GzqFj6nKNp34m7exg8LYLoTQXu7pVPZf5efOReAACX7uTtT3wiEe6sfq9w/QTERvnY2RyR2v3YH+Ta03zX+5N/b/3h72W+0wVOdbXujIr9BBdPEflXGF0T2ku6rhP7/B8BEM9F9d/BjZtovfe7EFcWQcd9DF9+DpbvIh4F6L34PHrXbqF59ijcRg3W6gkMX34O4cbrIBbF9d/9bzj+N34oY8EAgD7JxkhVWQxrcU0UtC7XcOO3fwdHfjjNplOW4M5XvgQAKK8tJhmYo6uvw6mVRbmcZg2lN4lg694XPwlvZRn20bNof/YTsH1BwMqPPoGRVQK7dj2pO9j6wPdOfE6Dz/x+7jPHyGDd+pOPT/x9/VRKItSz1sWVTUHdomw8U99P759DWfWgsrYIzhii4TjRJxzvdlO5kEsX0L1yEw1N+oIbY0wXkKaOjaA7gG/obg2383GxrYfFhtVaXIe9dir3vY5bv/Wfpn4PAE7lpeTfZm1IdW+qVNzyE98FAGj/6R8DSMVw4zcwq5FSCnobAfK389s/y5gTr7sEy9/2btQrZdD6gkgX73dAZar1fvIDntopVdJdXsXYSerWMOI48O7poq4ROPueR7MnneKOMjMexUn3Ca7fJzB1EpbfNVsmom7ZM8H++Ldnvr41I2Gk9wgLiCczTHk9H4s0LfFhEg7qntyTBbj1908W1uEcOYW4vgars5HZufunspY09x5hBQllHEnrzQ/Bu/9tog3yGMYB1BYBQ2yz9cSHpratcSYb2+a/9duTf/OhZk3QrCxFOmgAkszEIlSXnwOAjNyFsuxxy03ITr3xFaCxIuKGWIT6t38I4EwWEt9DdXcT9vopkMYK2NYV1L7z+0DGffAoxFprGbyxlhsnjpWNv7GXjwprGbXBRz2svDtMY8wAEOlOWviOvwg+7IMsHUtiturv/SBAbTjXXoV99J7EBVn/tr8gLOLlFuqPjRJ5Bh4F8HzAedf7k2c4TYak/I4P5J/rOGtNWXzsTRN/n7H2qWetk3FDLmH0VUHyM7FUq9mam6STutS9l0URbvfR94BvXhEJDnJDULl1NbFs0sYi/NeezY59U8ZFcwMS28H42c/Ceyhb3qn08ldgwn70fQCkF2IfF9/Ce56Y+j0A0GY6jnmYdc2rTVpJJT0dEdbT5vtEUD2RMWTeG5nVOHc13hHMidddAtbvgiECKAWxXfBghPi6yAIyXTjRzWytP2W69x54PPnMzEbKmN5ZDDbsZ4u6Dvamtk8nbrS+kP9+v1Tqw/Gumd2D05Tm3WY+KWDf609Y+CdCuleU64wUZGXGh3B5ks7O/gcBqN4rYrx0lW1SYQiuvAznWIjxa89l3L5mYd/witiRE5kcwMdDxLeEBYnIRdxnY6C/BxNFWWG629DUfwsuaCVrJsQSTXJR25rIqolIEktdp05pItFaK8lw5HEMfusarEoHcXsbhFrJcaRUEWNw6xrIoAtEIfjmFcSDLojri2xQznIk2reNYvPdPZHZqcZcMAIJtBqVoegf0a5wM5LNy4mArGoLHw/Bdm8mbrnxy0/BOXoWlNqI+l3EUn7CWT0FOxoj3t1KnrtVtElSbevtFTy8bH/g4eRY0cw8VGDZIEaGJHHc3HXtSlYtPtKL0qs+0d4EG3QRd/dgL4n+zaMwychl/Q7YsJ8RpjX1x/T5S4lJ68XKgXyGLyCSHsQ/aOa9FcFU/S+CGktAPn5OCWErF62K60xcs/IZx725q/EbHXPidZdg8NoFWNLUrIrXKvO9s5GVQYgmFAgmL34x+bdJWAaa6d1dXsHgyusZ07+5jJkLXsa9ePmF/LWNSTaHfWLAJkEVmz4o3PrkAtRFroT90DqEyjwAjC4J4usdyVvMDqpCr8M1sg8nQcUPBZfSdxTu7YFQCh6MEG7dzLzL8W42bqX+sHAn2tfF73cvXP7/s/fnUZJcZ5k4/MSakRm5VtbS1dVdvUmt7tZmybbkBWP8jfHCYB//hm+Gg7+Dx4DBHwzHgFg8hvEMMNiso8FjbI4xYDjDMhy2w/INHsOYweNFliXL1tZSq1td3V3VtWblnhkZ6/fHjXvjxo3IyKzS4jau9xwddWVGxnLjLs993+d9XuQaBPTR9Ah1YQT74qOJPkI5R7zxgL9zIa6KXuBU88eFGseZkdGfKAD0OBDuDcli5TsujBOkLb3mFvxeK1Ssl+GsXoLT60Ov1zF69hmMWl3k52rQFxYZgKI8pf7aNiqVz8MXxY0FSQ2n24K3ch6+NYCsauheuY4qF7anPDnadtrCUdghz042y4CswGs3CEAOj3G2N4l3ZHsNzsY1pqiurj0DSdXgNdaZJhWvJC9aGvCiJXJYu1njgVfBigAA9dbw84A4Tw23yb3k5yKwpQljwd6MwDstsF4xTPjtBqS8CbtFwIi1voncbFj4fDjAcKuJ0pkoq9B67Aux8/JznV6vo3X+IgoN4dqdJLCSTRICDlxnYnWOwTNPZ34PxEPnYtiffkdrPpph+46uk35MK06MXkwB1QOP1wtiB8DrBjHz9BkUzTyZYGUFkqph8DThZTmtVuxYsXQFHZDWagQ6ivd+S+wYpR55TEaXn0LpzpcyLglAdtFZ1+D/TqvjKI+yJwNRfX9aq977yskHcZYmgkhNF8q7TGNiYsMkU48QblXhdhKGEdXdgb2r4QNI9SikWhiW9vpROMJqtFE4VIc6t4Sg34mVh6q+8tXC7+PvvXJHFGqiYF5yLcC1MdqMe7hyS0mVc2crWsgrt50bf9vr6Z7KcWVa0rxr1OwQKPKTPgVbrYe+BK1MAIzdbEGvlBAYBQSuQ0JVqxehHT0NZWEZpqzAWb0ISTfg9PoonLwV7voKrLXrqL7y1XCvryRqcYoeRL/T4O7HRu3Vr4mRzmmbKpU64Nrwey0GOIpzS5ByeXjtBrzmFuwWeae5mQr8fhe9K2swl+bghhILgW0h8D0EjsO8ffb1K2PbST+clEpxB0LJoLvvHvv7mIX93O9E40VfiG9a9EUSaub5oKIavMHNSbmlMFFlYRndy8+i/NpXMg+cpBssZK7OzKGyfHPMwykJXDWV824p9UXUdCOxWUzbOtJN0nB9M7U2JW/5Y3uTnhE3o7Rigx7OYe462SzT4tyjNTJ/eaMXT8dLkp6jgOoECso3qh0ArxvE/GEPvhQqg48sQJYZyVKs3WULtRqNOvFX2d3o87wQcuO9HO1La6hX4+HCzmVBVVxY8Bxul1UIa4bxNo4Ezb7XJ6dap5mxx2xIWlcwzcR6lNMYfQfTWi2c/Ol9pGVKZRWOHmfigj7OqN6axXn3ZE2F3elDH/Zht7sx0rMueKmcBvFGFF7yKvKB77H7pYteoBoJ7xUA6PVk+/JeBCUf7wN82/DtrHJ9SSwITy1rJ02fz2pEHhcKAmRNhd1sseP66w3M3GlgtLWNnOvA7XQgNzYgyTK8QSSkajXaMNoNuK1d9DcayM1fRfviFVRvjS/XYiHlzlPPQJJl6GUTo2YX2sbVWC1K6kGTzTLcThuB5zOPt9fYgJQzmFeye42Ah6oik3vf2GXJAABgODYkAKOdXVZqi3pP0kybTxG8FRbZLO8s71WndTupZxEA1KrQz/2o9iL7SDi/z4X2KRDxBx3Y3T7cjassXOk2t6N7HRLpCd6DJ3pjxetMO56G6yR0HPg+6zfjTJ2CQqByQFO8J3rPFLz2rpFrl8N2oMlBgwwv5IF9fdgB8LpBbPcrT8AJsxp9x4Vi6LB2yeLJAyoA8KyR8DcZiHwx7Z3PPRA7pjAfZQ/ZnT76K1dik+yoFSdsamZ8QeEXw97aduL+ZT0bIGmFCaHIMeZaSW2oLKOFxdNsP6FGvt2mMWeHTJaeRbyPspYcYmlZoZNMnbL96JLGA5bCfA3dq5vIrV1C69JarP+IAEY14pyg3sWL7N+lcyEpOvBTa7g1HnkSouU5kN67Et8MOP1ooeIBgmZGIaNxwDcrBEbBHn8MDVkb9QrbZAy2mpg5ewzaiVsB+Sm0HnuS/GZlHcWlOXi2g/7aDhRDh7lYh3XlEvrrDfTXG8jPbULR1MQCLy3F6//pJTIO9QoB5P2ra6i+ihPyDUFI4wsPwhlY0AoGy8xtPrUCgIw3vWyifJws2q1La/BtB5VTS9h94jJ7D7P/zxn4RgnNv/hrlvFXyShy3Xn8icRnfNvT+x1n/AaQesH5DZuyIcjghGOhvxF532fviGduty9G18vVCCdTL62jt7YNSX6YPVfn8jq8MFSnmQbyc9XY+xa98qNmj/tuFZppJDaXaWO1s7LB7nNS2Gz38cnZyuZS1M+HXFY5ABSXyN904+AOyfPQihuDsD0H9ovo8ToINb4gJgXBPuqXHNjzZp1OB5VKBdv/6xMomwUoh29iRE7qShdJyYEQ1qNkd2838l6IxaITIZAwfEGNagexc3Jue0DgjKV5bCZ5cfYpoJrQFZpgypl7xn5n/dOf7/n603Kr2PWPkONp5qecUuonNSt0kk25Q/fCOoDBo5+Oruc60E/djkBWIfluLJtK1CmjSvZ+qK7vPfL3pDg0wMQtvephSM88kCxmnSLWGexGnlRnLZ7wkTvHvasx2XBjPRNmNf1zAP4GWQD5+5MKRBLDvvhVaLcQ2RV/6wok3UCweBpyf5dkD0syAkmGv7MKr7EB/eStCPJluE8/BPXUnZCcISFyr12CunQK0kw8nOZWj8b+Vi58Du7mVSKcavUhFcrQbo4yiKmAaBD2k6A0C/er/wcAoJ29F5Lvwu+1IFXmWWaeRPuPRwjm9DndmWMIckVo608wpXYxc463tMSF0VPx2qhZYSbtXJIGEFOlF2pBOk8S3pXKSZ3IpbjnnRdudp4m/Cr95peQbMtCNXZ+6jGS6ktwnnqQKd0DyX4TSyhRdDjnv5i4f+epBxPPo58kJcPc7bVUnbqYTeHJjglJj6FFeOtCYtQiaa+gSeb3Tq+P+jf/v9Fut1Euj/fwPxej69LT//FdKE2h2j/OupaNW37+t1/Qe/16tAOP141iskK4Xb4b1fkLJ/VAi09gklAGhClCH4nSqQM3fowkcQBAkklqNrfYSVVB9kCsocZNKmnSBoGaDSbSVM2nMVHgc6JlyFbwGkPTmrpwdPJB/DVo+j6V+EhL598H7yHQplPdv+ITgHHqWCS3EIwGCBQdvlEiVRE42RFFDMGUZgEAVljWRle1qG5jlXhiNh0VS4dOJBeOlFImUp1brNZXYt/xbcMXYY/dTyHd45hVJFs6TLxOEqdWTrlv2pFTTHtLqTsIZBUBCBgOEPZhSYZSmyecqVwRvlaAlMuzRVPKFSE1NiDNLCbGgq3Ex0FhZhEqiIyAu0Gen5aTAjh1ckUjoE7RGSAg9wTIIGrrFKTRwtySM4KsaJGWmKKSAtB8Sa+McRkMk0k62tG4x84V3tn4k6Vo+4nALpxDJK7YtCcUqo5VMwh/7xXnIBlRqSCASLJIodwOZJlwvrj+JII+HrBBkgkQFkr8pCUIuTOEtyUXqggyJHbIjU4ujxOryuALockQ5FLR2+BQ+C5o5uxcOBcZL56chKzIkJ+D1+q5/Pafsx0ArxvElOoclKIZLcqKxsBK0IqnqEvCLpF9zpfMECaJ2IB3hpB0I6YS7W/FieeSkMHD8yfkFHV4eXbCbnCKSSnVRJX+SZZRtmNaEVLenOsrezpeOxp6GmgZpxQNNrEc0zQ2LUl1JszC9K9F4WDftqCYpBah5DmAH4VcA0HvDW3S13J0MTfLDMAoEjlnpXwEUnOYzIqrp/SBRhQ6Sqio832Se2+xvrqbXhpICgFi6ndhuST+3Sk3E5K4v70GJdR48pubkPImFN9FYPVIuR6jBLm3AygaS4KQh2043SaUUR+Bnoe/8hj5rttIkOsVoxr729u4HHI2Ffj9LrTDxxFwZWjkUMYl0EnGpBLKTgChx07Nwe/sQvYi+QS5NINA0RA01hCoGqRQA02eOULmjz43D2R4YdI05rwLD8X+ztr48OWgKOiOSWUIYJpy2/gyUOL44D1CEj3edyG1NyHlCvBMblyFv/XNOuRSlbUlEBWYZufiPGCSa5F7EeZIOUWiROmEenxTFKmXpqnVyG0GEsAvvAa9j4ACrvA+adkjvvzRgX192gHwukHM77bgBzYklWj9yGYJUp4sVOKEkFi4w52rZEQ7XXcrLqvAhx4D3wN8C4ETTUbiBCuGGCipFQCQT3EZTwBWk0Rgx1matk6mZehu8c87rWmHj+/peBrupYt2Gjl5ovRGisXaP8P8EJPz4WkZJPwmqRqQM+LtIGgJ0bIkwTIJh0muA38nBD/HXwIA8PyAhMOF4rne5ccgGp+1lggbbkWcmIB7vmAYtZkYZmefi0WQ+WcI+wy/scBOyLnTDQYOPKtPaiAWapD0PLxrT0HWDbi2RTxeIwt++2nIhgm5VIO/dRWSqkGpzcNrN6BW5+ALHlbHjzM3jIVj8LZJ+8l5k9zbbPRM1HPnXXuKAK/aPBuLbmMDkqoRwr7vMfHNYNCGpBuQKnU4K+eZyG8gq/CMMtDcYu9Y1LPiLbUOqQDEvYwSXPL1SD5B0mhoM3rHvpBYQjOOef020aMcozSE/UVqhNl8O9chhwKvbmMDCD1iUnMLgW3FNPwUgejOzyOB65B72YgniKRpBk7UJ+TMXbs48ZjYhlbgekph2/s0c7NM+hYN10u1sCrHi5gpKMnSc8tqlF+8gt5fT3YAvG4Q81o78Jw801sKXDsiSu/EM89Ebg2dVHiQINZJC/Q4IBEXQREgZHK8UvSaVCF9O2H7nCz2KqCamkVIbyGDeD/ORLHaiUZFDsP2TKvvJk3J14r9ZsrszvaILG5V7rqyWYLX3CLhsm4r1g6SkNJOQeFIJp9r/Q4TgZV0smgMHB/l7m7i3aRpRsW8XMK78XlRWG5yj4n1jhNKzQDkrNYdJ1sghxsPpVRl78ZrbkM2TAS1I5CHbQQjC14oLCypGlmgHQee0wJcG8FoCKg6/GsXIJfrqeE1TwBeXuM6/G4T6k13wd+8CsUoIOALh1P5j+YWEVntNhlY9ZtbBPD1WiQ0FoJkv9+FduQU0yGjniEYJQQByYZkmajD8R6rNHKvKPsSZAgS85A9bWwl5iBaQ5N7L6LXNBAAEgDSN3w/FH0mfcjvNqP6kLqR6FviNpAfh5KqkeoEwsbBT9m0KaEnNkgRQhYtSzONXZsTpE3MbXQMhIBMypG2YDU5w3ZzX8RajQfk+hfGDoDXDWJyvgA5H+6GQr6XSwsjC+GCxAAPJyBewDJRO5HzaDlhsV6eXC8u7FQNmxk3saVJNjiCUr5oihjSmtLSJsNMywqt7MPjNc2Em3Z9Ch7SgGOClD7NfVjTTbZFPSyYznmyvOY2pFwefr8DyTBj7SAujlIuLEtikT7mhSAEiDwkc+VDgO8nnk0yks/FA/xENidPeObfMwcGx73/cZ4wIGpz3suhLhEA6DW3I60330Pge1Bb1xEM2gisPuRSlYABvw6/3SBcyGGffKbqUOdq8FvEM+h3W5AFj4hRiy80gTUgG6nmBlHCb25D7UbUAakXanypGgLbQ+A6sXEZjIYkTNmLA2Z3e414hFSdtZ0yaEINfPghaAQAP6OGqipoaAHJjUbWxof3oqdtDDxhvKX1YXFjwhfNpkWi6THBoAM/7NdE0JRy7gx4vVacQC+cly+qHoQ6iaI3PS2Rww3Fq6WckarJN+n3osXKWAmbCvodrXoR8CFnIPKQ7SMr+sBuLDsAXjeIebub8CyDLNy+B8m2mGDeOBFJalqJALasdGp+UexduoyywLfpPvl45jX41H9aNJm3tFTs2PcpoqvTWNrisF/L8oaNs0ntIlphkYQDmNciTQdpPzpeU3r+ZrsrAIDBU1E2qNVoo3hsiSxQza2YircoekrDNbmwf/iyHHklzpOsNO34OfS+8vmEpANVEufNXo3COaqgHceXePG5RVnmFlC7nc7Zo30+zajQqMVJVFRDQNl96gIKi2QTMlhvQF65gvJdL4d18UmoBQJOvX6PgQr3+gp828JgvQFzaQ7OaIjupSuo3HYO3Qf+D/Kn4mR0Q/CCNb/6MFHL39mE1WijdMtpeBeizEEv3CwFrg2r0YZm5uFcfIa0Vz4HtWBgsNGAZuYxCiUxikcX4DsuBhsNyJrKJCCK9UWoZgnNZ5+FEsq7uCvjBVSLZ5KCtu2vfCX2d/nc+JqYVOATQHqfFstA0Q1iJ+IYagJY56sNMDK+76F/8RnoZRNa6JH1ui24LQJaFbMIOW/GxHrFvubxHi9ZhlyqAYM4qE+jAFiXSAUHpz/MlKoB4nI+Y21MaSwg2uTRDcroEpFnUctkvh1tkc3wYLi/RKX92IHH64WxA+B1g5iUL0Eq5EmIz/cBVWPlNMTdvbhTozsifiHUBO4EvzvNVUskhMF5zkT9Ji9DKyZt0ZP3SoKf0vbKh8pShadAdi8m6hpNMpp+Tr05coqn74XkeLnlkFzPlSNRDB1SzoB27Aycy09A4xZJ8V7URVK0mBWVXl9hn7FQl1GCZ9kJj4aoQg4AzuVIriIhg8K3DU9+5vq7VkpfqJSMUk45Oay3yE36VApAWVmBWiNcqbznw2q0IRer0OYWIBuFkF9ZhlysIhgNCWkbgNLsQjt+Fn63hVyVU8YXOXJCFqZeNmE12lDMIqRWF1D1VN6bpGrI61vheyYitvrCIqDqKIC8J6pDJ+dNyKYC7+omikcX2Lnkyix8o4T8whxrwyzglbapSejFZWxWYu8gDJPxHlRxTqBAjQdF2pG4jhdPeaCgVDtyBrnGBrSFo7Gi9axIdrGKwOpDP3IyujdBTkcW6zJ2GtCOxqVinJQMTn0uBODDyZQD2q+yLHb/ggeQygLRELwSRkCUUOpHD8ePvg/KxH7tQLn+hbED4HWDmCSHHZy6kfmFSNgVSsICRkMnKqeTIoZ1eG+PrKuE4zCIdoGi8rzoweLPlwYcJnKQ9uHlAVJCphNMrJ3Hm7YPHRm3t7/U7czQ4D44XpgSeFH9Jv79KYZOQA9d5LkQh9i+NIzMUvPDcBwQhUICRYdeLbLae8xS3jEv4ZHgAXGgJVYwmOvf+wGpFPTyfZr2TyrACRBPMgXW9PvAdSDpChsfkqoBqk7U5H0P8D1SZsi2iCiqALzExBfqkZLNMhRthxTJLkcZmXLoTQxoAW1NZ/cduA5k3UDg+5B8H0aV81LLChP3jbWR75J3FrZh5qKZMmZzNYHbmZU0w5+b9o1p+jb/3oW5TOQc0mNYnUTKE/P96DyyQt4bf94s73ZYjcGfwovMwuyKAn9CAtFUwsj8MWL7h9/RChGJjFJ6vLrPDPEDu2HsAHjdYEYnOklR2K41AT6EAcvSj/njMiYe33Yh1v6bFM6MTeApE8wkgLSvBRTYM2ATOUu8jXZ2x343zvbqKqf8HMqVSuOISeMI41k2LQA9GoLwYpThKpuhh3PQJYKhGQsE5cIwYU/HjjhEYYacD+J1KSwJwr4pC5mxGHlkPIF3o3HacYqaBElAvPZfzDJCNtTcfvJ+tNmF2PPrdeJlCKw+YJgsYzHgFnX4HiRFJpyuSh2jtavQcwagagm+oyTo53mWDUmRIVfqkJQVckyQ3MR4zW32b+qd83ut2L3Smqz0HcqaSv4fksQDWY3OHY7XwvJ4HTraR3kTvWDT1iqloJwXGRUzIiM5jMgTxm/+yJfJJAvKU/OtAaTweEmWY8kBgWPH+p/IHYvNT7ICv9+BzBUrJ9dLETsO/28sHZ46wSXL+GiFmBWcAIu0D9INU3i8+LsX0iRFYf1rv78/sKQdAK8bxPx+G34wYpOqpGoMdIgThLgYUQIynzpOSaHUJG4i0hcW4fe7sYlRX4oXeBUnmRy/0KXsSicNMOpG36vZQvHuSZZVjJuvUTitVV42Xgk/zShHhWaFumKSAgBtUgZoiiUWqDHW9cl7q/DhLNsi/cH3EqA9ofAdgkKvRACT3dhFLvS2BTNEsNIqHYKxdCrxW1dQwQdACk+H1v/i/419p5S4sBLXF+UpFjga/kwzOh5y85FniYWwZCUm9aEeWkZw+BboOQOj8w8hsPoIPA9BvwO3tQslX4BcqSN3eAnO1nWotgV9bh6jjQ0UX/rquEAsAGfmeOxv46Zz5Nq+h9z8HLx2gwmgAoAcioC6579MuErFahRWtgZERkLVIFfqUMOsZXfjKpRKHcZN5+BuXGUAxZ1Zhq8XYmNAyVBb94TwG20f3ka748tsydz7Yx6vWP3G+Huk9UM1jhIhgh2ecE43SpKmQVIUQo0I5yH6bgBSMN1u7ELnHERi5rDYv6xGGwWzFTuGFjPnLX/6Vu7eUsSQ+ec7/+XM7wFA4+TnxKxSCjnpWFfC0CWr/0nn3RfR43XA8Xph7AB43SCmzCxAMQtkIvJ9yHkTHnWri+57YXKkSim8t0fkBPGZdG5rC0ptnhFVgRSPlS94xLgJVU7ZKQfO3onr01iWDlGaZel+TSrknXq+VsrilGGyUCRbSQu97CPsmhAfHWPlcK2L7f7bDSgLy8SDMhrGvtOO3BT7PQUotDqCcfwU855Sgcec0wd8n3Fw2D2m8Nn4xb3Aeb+ynokPrXuN9dRjsrJdvT4JD/PhVnpvzrNPsPb3LBvByIJidYg3K29CKpTht4iMg76sIxh0SFZivwO1XIEytwRv8yqM46fgdVtQRO9zWGqJv8+g34EfZtFpS6diZaQCi9yrWq7AH/bJpoorSi7JMoJQZiKWtef7wGhIJCjCPqaFWafesB89Y4r0CzXGR+TMWTkf+9s4muEx47x91Dsvc3OKK1ybet9ihbAFHhg/T+VPEM6WpGrwGhuE2xb2GcWxmSdIqR+CUarF5ygjg+guKyiY5YQX3jh+Knks5TX2WhO9+opZzPweQGzTmggDh38zwEVLxnFh8AP752EHwOsGMeXILVBKRUijHgLdBKwuE9ublMbMBBc3Iy9XjvM0iCbpBvFAcXwUKvIYnVQAXtygT1sw+TIgaZYoHzKlqXsMywUZNSHzaTv8Caafedmejmd19GjbppRK8kPl9D2dd0xJHdGc8LqxRahSh3riNiI6GobOxhnVY/O8EPQPOtBf+vrwxsOSNVoesu+xBSL67UmIZl+MsitFj4EaqskDYCLAAGJ1PbVxtTLTRHxDo+R1nmcnz4elXxobrFYivf9A1SEvHIdSP4QgZ0ZK/QDT9HLXV6AuHifcN98DfJ/8XvD+ihwv/eaXwN26hmDYh7Z8mhDSuT5BvVW5O14Dd/MK1PmjcK6FWY2zhyAZJtz1FShzS8yLbdz5TQBInU318AkmQhpYXQRGCdrJWxlXKkt2A6VkIkpC4iBj3GrLtyQ+4+uQavPxTZNzntRCzHHlrKRqHIxLTgRKR4+HtR1f9gbI65cgz0XnUwetiAtlluGsnId+7l7uRgSO64jjXBaqsL/yj9DPvjx2jP3MVxLPo558KQDA3746XlNuDxZUuGSIMQr0VCWfvkP5EPHu+lskUULtHeh4fb3bAfC6QSxobiBwTOJ+Dr02bPEUJnfRq5NGEhV3uvwi6W6vQS9V4beiMJgYdhAn3FioKyV8oaR4wWLn24eUA0A0d/ZkGbvCcdIEWaZmCEimGQXLdCef5rFRF144OQknjF/InFdBGvZZ4WjxPIkQMOUUhTUIvX43qnlINaskmWhbCeHPNB4f7yVwGjux75S5KOOOB/b8RmPcc6sL4yd0J0X0lnkR2g22uHvNbUiqBtUeAqN+6IlpwHcdyGaJeRxks0TeoyxDqdSZZ9nduAr1cDzkmeB47VyHt70GuViFe30FsmFCqkZjkWmONTcJkX7YZZ8FjoNg1CDhYddmbemur0CiGZilKtPekk/cDrh2vK5qhsdLNZIeGtGTKCbyxI5tcnpklGfajcJ1ol6dsxHeJwfAxbfI9wPKCdQaawisAfztq6yPEa21CFz5gy68RiQnIZL0Y/2o34HbaUMfxQGM6KEDAC0UUE3oGqbYNGOUb3O/HR8PoseY8QzDElB0IxGMXkTgJT/HrMbn8Nt/znYAvG4QczevwO3mifve9+APuozULO5ax6Xl84RSMUTH161zt9dI+IQDcGL2nrhTGXGaSGk+pWCS0Ok+sxpTeSgZJi6EsXNlSGSMM+vik3s6Pn8b8ZAx4cUU7pufUYZlrE05gekuARU2Jydhd9qQaw0SvhbI0iIXkHKC1JD4Lqsa86RSwUqlOAsnLNPCm5dyj2Jf5Y0nbvMK5nyocexiluGJoWCX1yujC/Zwe5eBaWfjGnzHRT5vEnBEPbkh+drbXiOCqsM+BqvXUazOw93ZwOjaZaiFPOx2FwVhw6EInjjr2cdhNdrIL9oYrG8icG3kOC8q7d+B6yAYDaFU6hhdC/WxXBtSoQyvsQ7fLMO6ugIAyB1eAtoNWNeuwbD6bGOm9HahOCPYa5GYsbUWgRHRiinhOMrDoiZmOfIW60thn+b7+ziw4nJiy+J4jZHPqUSFNYC7tUqODcGW19hgHi9lNCRZoZyHM5CFqgq8jlfYF3gdOSCdW0iP6T31JPJz2ZI503jEeEAojkW6GNsXHw1PSL3mZN6iY5Xv1y+0HXi8Xhg7AF43iEk5E5KRJ6ngrkMWgZBUL4ZoxIWbTt6xHZMwiSgCQV88pyJMAr4gh6DNRi5ydSHJu5JrC4nPeNtLzbPYeTdX9nS8WNybt/xi9j2mmX7ytr1dn3Jdwt1+qlr+PnaB0+p4eVry+XM1Eh6TjAKCrdXY4jgulEcLICsLywxwsZC2XoCk6YmsuDQtNx446YtHxn7He3Vj3q8xACurEoIXtr3BE/BD70GuVmLJKtr8YdIuJ++GfugEvOsX4fe7IZeoTEBXuwFJ02CePkO8YN0WjNOkT6iH/YTH0J2L84TyL30d1NVLCFwHxdNlkt1YixIfdMo9W72EQDcIt2yB6GNJukGyyko1KLU56LQU0mgIdf4Icv0OpEKZZaJ6Czcj0E3IxcfZ82ZytFI2QyLQEvUAeYsBjbBP82Ba1NLSDiXPJdIWeK4onWcklRQsl1SN3bNSP8Q2jlLeJKCM6ytiv5GFZ9XmDyfuLy1pSDtKBHLNXmsizzIrsSftvkQPMc1qpEkUrC2ppAUt2q7uPUnowG4sOwBeN4qFGkFSLk90aQYdNhGIyf8JkiUVEsxajLiQV+A68Kx+jOsjpsUrNWES4d36KSRTbyXbM5SY5KY0d4+hvqzJ0Wm19nx9dTDBkycYLXNCgVKqnMQ+SgZN6zGkSfbqqUiVnJa88bstwHVi2VRi+9L2k0KeVTDowKP9ZJEQ8QNFh3b0NHyhbdJAJp996KzGiwjHvIF8eJFP1BgDOLM8aUyGgMv+pc+lLRxl48Xvd6AfPwtf0Vj4NBh0gLzJxD4D14FaqZNwbbtBJA1cB8GgA7lcT3g5bCUuRCy3G/B7LSJT0ViH5zpQDkcJDYEaLr40FC/LjLPld1sszAjfh3accKNIgoAMdfk0fK4gtuRY8I1KTM9KzcpqTPG8ihm3WaHKGFAJ75+fm0QKBA2V8oAjQXHgwDwVePbzJtkIqnokseM4LNQtI5Sa4M6bqDXL9ZfAdUj5JmGzmeZddbdIeFRbOhXXmkuxtLqsiWPAefTESEZ4fdrmiTmTXn8KKZXnyyRZem4er4Mi2al2ALwO7MAO7MAO7MAOLGEHHK8Xxg6A1w1mfrcJyTDhD/tQKqFgopiZJOx4KE9CyiguzBOh5XIdfmsrtgtUxTCRqHzPeSFSPWuTVJv3uUubyB0TL5NB4t+PjpeR4VlJvb6ot5V2P1MWvOZtWgHaK13icTjJeyNyPtRSDe76ZSgLyzFPk8hzoUWI3RwJNaqug4A+U6jttemoWMoZSWJ0WkFwrq+I4euYnAHvxeVlE8a0f5q3hhrTruI9ulyhYSaZoYUeFEUlpHhZgbp4An6/Q7hGvg9t+TT8LhEy9dsNaMfPILAG8AYdQFbgleOCo5KwwQ9sC/A9kpW4tQqMOvDKXGbbkHCqpFwe8Dx4jQ1WRsdvN5iivdfcYqE3ZWGZ9YfA99nz+mYdPiTItsV4cllZiWm6VImKCxkLZ1q4l/cKJURMw9Ag78lxt+LZ1HzoOwi99N72GpTafCS3AaJtSM8jF6vwr12IjTWRX8aPH0mW4Y8sBLrgkUvpv4wHqxsTOVzTcDf9buTxEj1arE/TShE0kSD0/NHry//Ml+3PfOYz+NVf/VU8/PDDWF9fx1/+5V/ibW97G/s+CAL83M/9HH7rt34LzWYT9957Lz7ykY/g1luT8ig3qv3zfoNfR0YFVKHqbKGjE4EYmhInCHYcX9IiqxhrSMiNZY8JIbGEujkPIPaTVr1POYm9huWy9J0mqfOnn3BvgJHqB9EQXlrtyGkzFHmTptTxms2TIc3X4Qxsi4SFVB1+rxXnmQjvkt4/Jen7ssLevdIhC+F8bRl+t5UJ7qkpGc/KL1RjhTfHhFizgKjPqZunnj8EJX6/Q7S4Np8helu2Bd/3iICxokAyy3C311gNRylvEjDk++QcvgelGw+VBXqcYxc4DgFo22sE6OVNyIPo3chh1pzTbpDakGaZgYbAtoig8shi7w4giQiSppGsx2EfQfic2s6zkI0ynGEfEh2/Wf03pW330jdjYUJ6rljZnnT9Qf53IncxrUg2EI7rkI4BkHccMCX8TkxwGgAgPgffF8L7TJTLSutT9J7bDaaaP86mETnm+6QY5mf9nlJMaHY7LSUU/u0PXzyOlyQrE+WMJv1+r9bv93HnnXfie77ne/Ad3/Edie9/5Vd+Bffffz9+7/d+D6dPn8Yv/MIv4Fu/9Vvx9NNPo1Sabp78WtsB8LpBTcrlo1pdAghKxP7DwcxPHC6X2SR+R7ScrJjXQCTMJ/gMvPcgBURlkdrJ7/cBepANpNIsa1c6ao0vGDzWUgi3mRaCFJZKnzLxiLU3n0+zPcLgigGqUK3dbWxAqdRjbTpORkQOdZCc7U1oc8RDEyikLQaehEqlnlyoUhZ5vurCcCte27F22yuin/JZjdx5x3kRsoqhswWVa3vq3QlGFhs/XnOLcL+MEvywHZT6IsniVHX47QbU5dPkuawBJFmGUl+EP+jAuXoBudN3wRd141KKAkuGScoLqRq8dgOaz2myhe0syTIksxwb2xTcSWYZSv0QezeqbpAxLyuQS9XIM2KUEWi5WNsk6v1NMLFEUBYvkhffZXMC1+YisBhuEkDJlzES+xA/NuzLTwMIi4XLpH4m+15WGIhRavMYXXw0VqRaHGMiCBzttpE/Vo19llZlIh/qIfr9zkSvc5Z4c3QRLnIgzJlss+uS86izxJvqhFmgtG8o6osnJwFZ2XdGOvv9Hu3Nb34z3vzmN6d+FwQBfv3Xfx0/8zM/g3/1r/4VAOD3f//3sbCwgD/6oz/Cu9/97v3f64toB8DrBjEpV2BZjXSxZ4VuhV3huAKwsQVLmAT4CT2w+pAMEzIXPhSPT9QR449NA1ETPFryPsFGWqZc9nXGA0Cx8Pc0lpU9l2bONVI2Ry6TBS+t1qBYAmoa22uxcN6knAHftoiESBj6YvciAFUKdHyd6A3JusraNAgzHW0/IIBA8EZOqkFJC1JHF4v60Viy/BiPjUiM5o0tsj53TlpRIGdEoUZFgaQocOdOQcmZ8B/5ByLl0u8QMvywD0lW4IahLndrFYFrk0xHuqAo8bG5i/gzzs0vEdV1w0RQKEO2LXj5qE9LYRaqVCjD7zTgNdahhZm0lOAPWYHX2GBEeeoJg++Rf4djz60soj3yUOFArCpUJoi1U8qmRnynWWMmvplLCveKQIW+fz4BJlGyiqNVUFK3ZJis37K6tI4dFW/XDRI+5OV0wsxAdh2eXG/1Sb8W5hYppU9Rors6RZmvqWo5ch6vhDef3iOdK6kILgO14W9TwP2Nbp1OvK/lcjnkcrkxR4+3y5cvY2NjA294wxti53rta1+Lz3/+8wfA68D2Zv6gCx90wehCyptRwWIh4zARaqTcCS6DSUz1j2UbDfuQ84gvfEKGmi9MiLzmlyIU0hW/T7N9u6v3KLwauOMnv/1k5+xVR4wCrnF1NoH9hRrlvWaF8lybbgtecwva8mm411eyeTvUa+CH2kG2y0Ioqk122qZpxnSUqKW1Fa/TJOqoOVei8jR8AW0+HCOKcLLPM8Ar7YuxDUr4PviQlD/sw1m9BHXmCKTWOgLfh33xUbIgUq7b5lVIqga/2yQK6VcvAL4P33Xg2xYUKx5eMivxtnW31uB3GpB0A36ngcBxIHPq7HKfLPbO9hoC14ZcqjFAFHgEaPhtIqLKskJD1XyvsUFAWbhga601VMuH4DsOu/9xJZeAdLArAnzPyuBMXkvW5swyP9SWs69Hnmfj7N2xY3hPPT1e0nR4zS1Imo7Ao8+1AUkjY925ch6+48Z4quKzxTZAsgLfdhObzbRnVcJ34bcbE0v2ZGaAhsYDy0AAegxUhteh7456g9nn++Cq7ttkeV/yN7HfAzgqyJr8p//0n/CzP/uzez7dxgZp44WFuDTQwsICrlzZR0Tja2QHwOsGM0nTQcu6sDRxAXyIIIcO5jTvCjuG5xZ0OtBEYCaKYQrEWH5SkkspwGECsJrKDZ9igZfu8RhnWQWW9dKEcGja9fcYImXcalpvL+X3IpCeyqbkmulKeAfCdWWzjMBxYqACSC5QdHJXQh6SYujMcyH3iSq5VqTgLH5PItgXjxE9Xnw7yNx7nlRwHch+LxRw8UKTxmKVfMfJqHiWDQWEZ+U7NvGolKpkLPBALbyeJBNNLXd7jajM9zuQvPjY1P0JGwXfA7jfMIkFTSP37XsxjxxANkG8DpUUyiv4rgNJjrxAkmdDttokQYKCywyJg7QkGRF4qeb48BoPfqlXPjbOhf5BvWcK5+lIeLy4PqGE9x54Hkm+ULhyV7LM5galUociSpkI1+bnEQnpdVvVYkqtRdpXmluTw2ZTABQ+BDouzBqE9WGZThlNpAjfTZaUyvNt1Cv8XH4PANeuXUO5HL3b/Xi7YucVsliCIEh8diPbAfC6Ucx1AFchukW+h8CxmQeL7uyoJThCKcRW0XjiZ+7oCXjN7ZhaPRWFpKbUhaxGbuLaa/gN2DvXhJp99Zk9HZ+lFzbY2B373Tgzx5QKHGc0fMEykVIzQPee4TlteDIXAq+YbptDSuDIZgmSosTepdi+rOIBJTE7LlShv0nuCHKhBE8AxZKa9AjwXgC++gEA5I6NAclZhYRD04RQUvw+yHkVDkTQRcvvtqDfdAf5zHUgV+rw9TwkTYdcrJIwVLlOStAMB5BLVSj1Q7AvPkoyHPtdqHNLcDauQTteT3ovRbARaoL5/Q6cxg5RAne4+p00nFQoQzFMEuIMgZdcnYekKFBsC3K5zrzScqlGQvvhtWjoLlANBKpBRFqnyIJNW8BFoOZ0xvOJlEqKl5IHiMI90KxiyhkkvxMoDXxxd9sNr1MnKv65fMRnG3QjZXvbgjccQOc9/sKcGbuKqsNb30z0LW+YfFaaeetuXiV1NjNsGnI9n0mayLwM3yd7LxQH0pqNISiVtReR4/U8WblcjgGv/dqhQyTasrGxgcXF6H1sbW0lvGA3sh0ArxvEJLMEqZAnk4GsRLwGTOb30IWGJyiLpHB+4Sbp2fECx55AhBU9VLz3IH96b2ruz8XU6szkgzjLCgfkqik72km2x1AnLa9DwbEnyDUAmDiBp55XSJYYZ/oSEU4ddaLSL77jwqgfCmv8mbFnUsuV2O9puFBvELd94PnsePfiI+T+9TzslfMJ4nXuaLJck9uKwG7C48WFXXi+zbhsxNh9ZqTuU7DHL6S5UFB2tHaVieI625vwu03kCiX41oCArkodfrsBuVCCQrPI2g24AwvSxlWoh5ZJzUVNhd9uJBZPZfZ47G+/34Fn2ZC21xD4PtRiEf5WVKaJcdVcm/xbVlhNQ212AUH4rJKqYbROxmhOJZuz0cYGVNNgYERpX4fkDGB3W1EYrhlPaOCNlrfibXgh3q6yPn6JiM0hFEBx408MRat54uXgM6jF8HRsg7FNakG622tEZieXj3E4ad8gAHU7VTCXGi9lIskWJEVOeE3TqAhULNptbsPZ2Ux8H3u+mbnM74G4yLB4j9RrOE4Im60H9ij1+xfEvgbk+iw7ceIEDh06hL//+7/HXXeRYve2beOf/umf8Mu//MvP67VeSPuaAq9Jeh2bm5t473vfi0996lNotVr45m/+Znz4wx/GzTffzI65dOkSfuInfgKf/exnMRqN8KY3vQkf/vCHY+i32WziPe95D/76r/8aAPDWt74VH/7wh1GtVjPv77HHHsMP//AP48EHH8TMzAze/e534/3vf3/MpfmRj3wEv/Ebv4GVlRUsLy/jZ37mZ/COd7xjz20R9LsIAofpKEm6wRY2keDqc3X4+O+z+Bi5w9G/B+ubMDUNDkd4dIfxwSwL7mWf824Mzj+aOH+a6/75sL3ysqSMLEi7u/edYufJp/Z0PC25ohbIYpj1TvZiXr83+SAAeq6YuK6kyHA3r5KFptuC24/AjPje6Hfa3f8CAAmx0aLTRpiFGKg5wHUSv03jE/F9V6wDyNfscwcc74lb7Me1n7Q5nrtEf+NaUZ/WZqNF2brwOADigSscqsNdX8FojYAhrdvCaLcNY+kwnE4H8nAAz7LRX28wB8RgfROqkYM7uIT8ubti11Za8Q1M66uPwOlbqN1xFv1nrqIoy8jxXo+wzazVa3CtEZRWD1qZgIv+s89Czefg9IeQml0GXGi2YOD5sBptqOE7UxeWIbkOBusRQCgszI5tp7SMUb7NAEDRxofuXa7+a0JrEElwTOcYdxjdX35O2Chx4zdgdRnX4XQHCDwferh5sls9NjfoIwueZcPtR95V1RSu3Y8D+MDzGcClJs6rADB8isx1WtGElBF2BQDrWrI4u2h6dTwQZhyvEPB7I9Je4vxuD19M4CU/R+C1d35Yr9fDxYtRlYvLly/jK1/5CmZmZrC8vIwf/dEfxQc/+EHcfPPNuPnmm/HBD34QhUIBb3/72/d/ny+yfU2BV5ZeRxAEeNvb3gZN0/BXf/VXKJfLuP/++/H6178eTz75JEzTRL/fxxve8Abceeed+PSnPw0AeP/734+3vOUteOCBByCHL/3tb387VldX8clPfhIA8AM/8AP47u/+bvzN3/zN2HvrdDr41m/9Vrzuda/Dl770JVy4cAHvfOc7YZomfvzHfxwA8Ju/+Zt43/veh49//ON4+ctfjgcffBDf//3fj1qthre85S17aovOynUEhg6VW8xYVo/QecWdmh2GA8onIk9K+2J8AeDFQ13LRufCs+x3AJCfr8aO94RrULc/EO1c4/eQ7ZUrHDmc+f0423no8T0dn5WFtf3VvZMvj7/x7skHcUbboXuVLC5a2mS9PX7yHWfTAlsrIMcV56Pdd+A46F4mi4Lv+TEww79XIOoHvkE8YVsPPYXCIRImzr+KLOJevgrfdRLlaJoPfzlxPzOvfBX79+bffiH+3dl0b5aS4WWZxoYNsngrXF/IhUBNK5fRvkj6QX9tG/n5GvTTd0NSNWz9n88ST4jnw2p14fYt1p8000B/vQGt04fTt9Bb28H8PbcnRTBrcRKxUQ9rXtbmISlPY/epKzBfF4Xdqfez838fhDMYQi+ZmF26EwDQffQSctUiBhsNaIU8KjeR9u5e3US+XoGkyGg/tYZclQC54r88Bq9QQ+fyb7HzF89EpaNEs1efTXxGz0Xt+meTmyxq83dFcXgKlvl5RgTNjcdXyDW4cmTiMXo5+m77EULer5xaYpsmKwxXD7eakHUCCgtzVfTCd0nNX4/zXflNl2ro6K1to7QcD02JGwMAqJ4m71Ofm59Y9qz5T1/K/B5A7B5Fzqm/ESZahCCxegvxIPdXSd+l64FjvXjA62uhXP/QQw/hda97Hfv7vvvuAwD823/7b/F7v/d7+Kmf+ikMh0P80A/9EBNQ/dSnPvV1o+EFfI2BV5ZexzPPPIMHHngAjz/+OFOk/ehHP4r5+Xn88R//Md71rnfhc5/7HFZWVvDII4+w+PEnPvEJzMzM4NOf/jRe//rX4/z58/jkJz+JBx54APfeey8A4OMf/zhe+cpX4umnn8Ytt9ySev0//MM/hGVZ+L3f+z3kcjncdtttuHDhAu6//37cd999kCQJ//2//3e8+93vxnd+53cCAE6ePIkHHngAv/zLvzwWeI1GI4xG0cChabaB5yPwfLiWzRaM0i1kYhM5XbGQIoBC6NJn/BwAMwKnit+NlW45je7TF2LE2eJpoR1EcioX8lHS6r9N2BVNlWqdYur5i5MP4iyLQJ+f3Tu53thrYe2wHfTtMGQ3l5ysRxuTs59Eyx0eX3OPN0kLvbECv8aoV5BbXCKSEpz3sn0hHgo1jxAgINsEQOaqJRj1kLwdZuNJng19+XRCYy1fj4ctAcTCmoX5+PfVs1xBaS5E5XHjY1z4JqsGIc3+40nBVugF0moa6t/y/wIAlJ59AtrSKfjNTUi5PGbvuZNISVTqsFavYQigctMxKPVDsC5fQGluHqONDRRvvgk7D3w5pmNFTXLji6I6Mwczl4PXWId5qE5Ct70IFFBJhNLyArRyAdricUYtOPRa4mEsLm2SAtNhW+r1OuTqPPxeCwumAYVKZXR3oI76OPSql0TafhnjTvQCAUBuNh7a54GQaGmbAd5DJnrLKKivnY7AqXE8XlR8eCniHFIQWL7tViaBQ6kEZV4g2PcxavVQvZ0DmcL8xfdV2SzD+9zDKB+Ph/zFTQgAlF9ONg5Bv5Nad5W3hXvGg1xqPLgTowpKCCSp0DOtzYkQeBVvIv3NH2Tfx9e7fcu3fAuCIBj7vSRJ+Nmf/dl9ZUXeKHbDcrwoODGMaAFRFAW6ruOzn/0s3vWud2E0GkGSpFiGhGEYkGUZn/3sZ/H6178eX/jCF1CpVBjoAoBXvOIVqFQq+PznPz8WeH3hC1/Aa1/72ti53/jGN+J973sfVlZWcOLECYxGo9j9AUA+n8eDDz4Ix3Ggpbjpf/EXfxE/93M/l/g8P1dFIZ9jO25ZU6PMJDFbURT1DCcjnj8wuh73eOVmokVvtL4Go15J3eFRS0hWcIt1aqbUBML4fsn1qYt5hmV5hsTd/DS212xMu0VCgixctJL0smWFf8aZs53NL6GWCxd+iWtvv9uCYnRhrV6DVirECM0iUB3tEE5WziHvP1crMm4WbQvJ6kKeW9pz2yTaf4qM0XGLXVbxdDfczPDeFNr/JcNkHLBRs4vc6RJ824LfbcLrtiCHXCq9UoLd6SNwbbibVyFrKvorV5Cfq8HZ3oReLiDwvUSGsazFvZlBvwMpZxDdPL1LPKApmxTf8+B0BpDVNTZW7PVVSIoMz7IhN9ZZOR3n6gVAbkAuVmFvrkOSuSQCewhvOGBhM3X+yNh2MpaSXmiRl5XFi+RDwjSbWC1EPD4eQPPn4r1iuiCpwG8GczVyfOA68PpdeI0G28h4ls08QLKmQi8XYptL8dn4KIHXbSFXLSZoDPR6vFFhXblSn5hNOA2tgAeyYiUN2nb0vijI3M+89byZ9Bw5XtLzy/H652I3LPA6c+YMjh07hve973342Mc+BtM0cf/992NjYwPr62QH8IpXvAKmaeK9730vPvjBDyIIArz3ve+F7/vsmI2NDczPJ70O8/PzTBMkzTY2NnD8+PHYZ5Q3trGxgRMnTuCNb3wjfvu3fxtve9vbcPfdd+Phhx/G7/7u78JxHOzs7MSyLqi9733vY65TgHi8jh49yjxesqYy9ywTsxRAkCiZMNolACpf4jhbgjtar0SD1x2OkDP02MQjklxFvgP/t7oPHarnIgD6tTQ+qWAa80Lwq4S757Rd9H4sjX+SZlKois6DY6+5BbdvwbMdBBw3Js3o/cckJ5iitsOuEQz7Ce231PvmSc3CdfmsWn5hnKbNvMb4DFW6sPMLG+UGec0tOGHYadTqwe93SaanbRHgo6uwO33C6VFk2K0efM+DrBDtJ8+yYXf7cIc2vM2rgFDxQax/6I1GCAZDaLXIw8SDG7qYe5aNkWXDcxwUwoVu1OpCNXKwu33YnT7KFJC1esipOny/AavRhh62l+HagKxguNVk7Znrjg9riyALSHIJs8ps8d95Xgj4M/oW/Y6nOGjNVuwYHnj54fntzXX4thsDbFajzebJ/HyNhNC5jae9HZ/PRk2uVq2usncZu7+UsBgl1KuuM9FrP5yCQkDD9kBKW4kZnqGXjh7ns5JBL56cxI1Grv/nYjcs8NI0DX/+53+O7/u+78PMzAwURcHrX//6WGhybm4Of/qnf4of/MEfxH/7b/8Nsizju77ru3D33XdD4dy4afoevO7HrbfeysTXXvOa1+Dv/u7vUn9H3Z/08/e///3Y2NjAK17xCgRBgIWFBbzzne/Er/zKr8Suz9s4xd7WxVV4OY1xERRNZQOuvyWk4Zfjv3eHZMKRv/AE+2zUiQOv0pEq+/fuxR3Ub5mPTYBWMz6YJSX+7J7NLWLFvYcN8/V9ZBQC8PYIXDxrfFajyGObxja++OSejqcLHnsnKQtR+9J4b804m5bjVQwFOS//2f8v/ntdhWe7sLsWPDsCVfm6EMYOAV75pSRc5/Qtxs05USeLhl5fwsXf/K3Eszn9JPekuBSR4MVnWP9CxN/jeV38gj5opAP2Qn18CGz3ImkDdxj1naOvIWGaYaPN3tHWY1toX1rDyf/P/4Pe5atY++yTKC5W0F1tobh4DZ7jwrc9+J6PwA+gGipy1SI2vryKuXPz6F77Jxz9F/HMQFUQF956+CkMd7qYObuM3fNXoZk5FE9FCRs07Lz+4AU4PRuF2QIKizsAgNbFDUiKjMHOAPmagcYTJCzsWi4UTYGkSOiu96AZpO1uv+c1kCt1XPunJyGH43f3/Hhe48zZY4nPmhfiBHEjw+O8+WA0NigXjvfoUJ4jtcopEh5e+0IUTqwsC1mhXD+g195+5ALaV5rI1wwoBpl7di822HNXT9Yhayp2Nlrst6oRX9r4+U3Nq6ieWsSVf3gkdkztVFIY+voXyLsqHalN3BDsPJ0sOSTazE2TPf+0Dbxw7hE3XT17/Bx3YF8fdsMCLwB46Utfiq985Stot9uwbRtzc3O499578bKXRZPdG97wBly6dAk7OztQVRXVahWHDh3CiROEmHjo0CFsbibDNNvb28yD9T//5/+EE+6W8vk8+53oEdvaIrso+rt8Po/f/d3fxcc+9jFsbm5icXERv/Vbv4VSqYTZ2b2Fk5zeALYdxfhdz2YLZGkpXtpi1IrvShU95BWVo7CRZsbBGb+7KtTziUmEB2ZpxgMgmrkXu4cJ5Xj4e9uLtS7uDaTwxF3R2pf3pkIPJIHJJKNkevr/NI/BfkoXTevxQujx4kGR0x+xv1VDhaJxxYeF89L3RNP6e2vbrC9RrqHkuyjM1xK6XCLYB4DScnQfzQurse8M7l3ZHT6rMbo/zUhvqyxAYIRgTZ6NNg/DMKzuWQ5Ky8QDXumMYNQrkHJ55KolmPMlBJ6PwnwRiqHDag1g9xzUbppDf6MF1dAR+D6qxyrwPR+5aimpQ6XFJTNy1RKaz2zD7VsYNIYQRwH18MiKBHPBRH6+BidM0CguEgK9ZqixTYPVaEMzDciaisALmGdIyhkIFB2VYzXW77I8UDQJgTe6YWDHbGVk4WlJsDwUsml5a4XvP/Ai/o6aj4Px4U7UpyjJPFctQi9qyNVMyCF9o3rMRXedzIP9rS6Maj62uRPHGH8vgeeje3UL5nx8HhumUC/qZ0motre2PXEOqx6bTIvgPbtOP+5xK8wTLuWoSd4/HXeBH0+ykjP4T8+3fS3I9d8IdkMDL2qVCunQzzzzDB566CH85//8nxPHUKDz6U9/GltbW3jrW98KAHjlK1+JdruNBx98EPfccw8A4Itf/CLa7TZe9SpCnDx2LLnze+UrX4mf/umfhm3b0HUyOXzqU5/C4cOHEyFITdNw5AgZoP/jf/wPfPu3fzvLqNyraaYBd2hDVmTkqqGuix73MIm8C+oyz+rkisEDsS7hZ2SVA+mLHjCujEvKdSbJPuwHbAB7V47Psr2CKCAdZGYZ5c1RXoZrJzlKsrl3j6H4PsZaWDuQ54UUDtUx3G5CCbWLeL4evwgCUZiPEtPNQ3UGsJiKuyRDMXTk5+IbgjSQyYeORHI9D/r4jQLfl4ZjZDSy+puihRwZP7nAF5fmWJ9yejYDyJIiM86S2xlEz79gwndctqhLsgxJkaDoKuHHCeEnKRAqBmgqZm5ZQO3sMQy2m3D6diw5hYb7VIN4uJ1OH7XQE7X9yDPs/jxrxMawpMhw+hb0cgGKoUGi7RiCQL6viARy3tLkVSonDgnHjKcIpL1vfp5RRIHdsE09h1ORF+aS/GzUb/USGa9Wow1FI6Feek1ZU1GoE5Br1EwCQvlwtbCh4K+jaCq0sglXKL2Txiel/ax+6wl4EzY/7nAyx4vPclYFDzBtO1mngJO0hROS6ekzqOqLGL47CDW+IPY1BV6T9Dr+9E//FHNzc1heXsZjjz2GH/mRH8Hb3va2WIHMT3ziEzh79izm5ubwhS98AT/yIz+CH/uxH2Ok+bNnz+JNb3oTvv/7vx8f+9jHABA5iW//9m8fS6wHiATFz/3cz+Gd73wnfvqnfxrPPPMMPvjBD+I//sf/yEKNFy5cwIMPPoh7770XzWYT999/Px5//HH8/u///p7bQq8UkcuRWmTRZEsGsgi8RDDihsfx/IHBhlAHjJt41LwGvWTGJoo4MEsCJVEXaq/m7lPPKsuzkWZ+hhu+uDRZ4FC0vepwsckxnFTTEhi0jEyxcZYqS5FmoceLD+uNWl3msRQ9GvxCR74Pn5fWmuRC3jThgpbJmcYLx3vezMV4mIX3ZvIhYt7jxXvneMviHnlOmBXGecvoexm1uixZIFchfd5rrMNqtOH0LRbi10sFaCbHk7Nd+I7LPE2KkSPPL4zFYBB/34Hnw+lbrB8Y1UKMkE+1+ggA9iGbKoZb5DOaaKOZudC7FdaPHDowF2fgOw4UXWUhXq+xAblsQy8XGPjKekdpGcDivMHLH4jGA7y00l7iPEXff28tuoZ4fzHgFvZhSSFg13NcKKCyFSPm6ZcUGaqRS/VYRffKZcrmNZTrZXQECZwssVir0cksnyReY5zxoViRjkL7NJ3zKNlf5Ose2Ne/fU2B1yS9jvX1ddx3330sjPeOd7wD73//+2PnePrpp/G+970Pu7u7OH78OH7mZ34GP/ZjPxY75g//8A/xnve8hwG2t771rfiN3/iNzHurVCr4+7//e/y7f/fv8LKXvQy1Wg333XdfjBjveR7+y3/5L3j66aehaRpe97rX4fOf/3zCIzaNOd0B7JEDzTTIAqCrDKyIQEf0flAXOE/uzNqdjTojGHU35uYXAYLoCXGs6Hz7EUvNv0ACq6JlAaVpyK+J8+2RY0b5GdRTkAaYvH1MpNO67KXQw8aHAT2LeFAlRYasyLG+kSibYtECvSTMbncHDIxR5XR18QTs7oCFxKilgetBCCLSjF+ELCfqf3zY2rfTs2WzPDEUcNlcKEcvk2cOPJ/j4bkYbjXhdiLQpRg6PIeMDdXQ4dku+c9yGADqb3Wh5nWMrBGGm3Fej3oo/veo1YXvuITIb3tQDT2WpUxJ377nw+275B1pEeXAg4tRZwTd5DI0y3m4/SFGYXiWAhCvuYXA8zBq9plXSQwH85a2qRHfYZan1efI7Gn9U6Qz0NAmzzEUN3iiF4oeE3gBSbCj/CfHj4F61xoJHtT4uOOBvaKpGGy1EnNk2rPSZ5Q1Dc6E+YMC/sxjuLEvzi3Uu043j7S9ov4aCgO/mByvr4GA6jeCfU2B1yS9jve85z14z3vek3mOX/qlX8Iv/dIvZR4zMzODP/iDP9jz/d1+++34zGc+M/b7s2fP4pFHHhn7/V5suDuAoqkozNeQq5YwanXhhmDHtbJVyz2bTK58uEZ0Y/OTjGaocDr9eFajsMApenyw0fANAAy2kjvLNBI5b/sNGdoZteLSLMtDNknkNc32et90IaFhgrSFbz9FZ8X3Oc78HcKjiYmken4Yui5h98L1mCdI5AvqZeINoqVsVC77le7IyQKfbJc07wi/0MiCvAoP9tP4YQAwbKYv/FlcPuoxU5yonen9+p4Pvqf6ng/FLELRyfOOWj3kqkX01rbhWjbcoYPCfAVWa4jC4gycTh/u0IVWyKO/0Uh6lBJA1obVtFBajp6RL0BP+5dm5uBaLnLVEmszvVyAb7vw7QHUusk8KoNGH7qpQVZk2H2bLfiSbkDSNEiKBC2kR2R5BtOAhrjJy/Juaxyfjc4vPHASxyI9hk8OEr2gPO+MAnCjXsZgq43y0iFGsxg1+wxYG/USNDMfG6uid5s/b+D5kMLxEHuelE1S53Ir/C43ccM5jo/IG3/NcRtqGgKmHkkjlEKhHElHLAj+AtrzVST7wOL2dcHx+kawmVsOo5Qji5ya1xH4Jps8xBp34m6/t0Z22Qan1SVq0vA7UvPQTMKtPsmjEtNESuE9aRMKoKaVFJnGBlcnl+HgLUvwkSph78WmEUXkLVEk20y2C1+/cFrTl2+efBB3vTlOVZxmqs2+7DbY3X4MAJmH4oKZdHFRwuw8WVNZNpq+QPhCSm0e8y9Nhun7a8msLh6MNYUMO/47gyvKzoetxoWHs8LGrTBrtHIqansKQEatHqrh8yhGDrXTR6GfvA3VSh2y9ij6G7swD83AqFcw2GjA6VvQTAOl5QWYy0toPHIelVNLcPoWDn/THcgtxeUklMNxUdUjb3w1epevYtTq4dC9NyPw/FiR+codEacqX+/BqJdjgEjN68hVSwT0hZ8PNhpYuOcca08qs6DfdAcC1UD5+CIDIVntNEghzotgIIuryhP++falVhD6Fi1ST/sTAJROxfm1shaFn+mmq3CojpmzyyguzbF5q3Z2mclz6OUCPNtFnVOiFz1p/N+qkUNvbRuVM3ER3l5K/z3+LwkPuPXM1VhlkDQTszjTrMD1eUfw7lGhYvp/ahSAzpwlfU17nsqQHdjXzg6A1w1iSk6HwnkX9FKB7Ri1ubh6uiaIDtLFssCprAdCcWebmxDVGhGHtLhdYP2us/Ebyig2rQgp80BSTX+a30xj1iNPTD6Is6xQ437qJsr5vfOxgKi9jRTgtR/Pmzaldpq3SNSu9UpUnmfurptZSKtyagkqx6MReTHFY2Qxko+RQuiB/0nmmSq+liSseMVZKOuXE7X+0sjapdO8MnkceFU44jfPY+EXf0qwFo2CwDSjek78hoVuLMonFqEtEOV0pz+EvrAIuTwD3+ojVy1B1lTkaiVYjTZJctFUlE4chR3qTZVPLEItGGhduAa9Xk/0a68U1wyUDBOamUfx1AkMrl6DO7Cgn47qO/rhWB42OigdnUfh+HGmoeZ1W5BkGfm5GnJHTzBNNM18FrJuYPaeO+F1W3BCgBLkTHhmHTN3nsFoi4AIvVYd206TOEtAsvQYb3xYklXb4MCP6O1l8jgcwBHBTCz7kNZqtGwGuijYkhWZgSnf8+E7bkyrcLC5Ezsv7/mTdcLjE6kHafODFI7f6tlTrIj1OJOVyXIS/NgXvaXUG0ZDtMWjpG/1rpGwP23b4EWv1fgcwoUHocZUOwBeN4iVji2gXDDYJCrrKnLHyO7ZE1S6taV4mQ1tIZwwOEV769L52DHiJJtQQxaAluih4lXK00CWpGdP4sE+3ePi7u+52KQda5p5aSr9GRZlBZIJJ827peh7z2r0BYHbsRbWWJQ4wKe4NooLR+E1NlA8cy4mfOoJfBFaYFmTydRQObWUWEADvUCU2IUKCuXjKfycQtTPaK1BavnTt7F/x8oP8ZwSNx0se8LmgzemtM9xaJiSue8x1XtJkSGpGtyta/C21+A7Lkp3vhT9x7/Cxoe5fASjrW241ghypwPjxGlYly/AXKxDLtcTwDwYxdvK7bbIhsowU987TVgoHZ2HO7BgXbuGws3Emzi4eg2yooSg9DIDm8Uz5yDJMgLbwnCrieLNZJ6Qhh0oAAZb28ybkj853lOqiBUwACIKy5lYz5A3rRZ5b+j458ubSZfjHmaa/JOlhs9nytJ3wARE7TjPlG5M9XoddqMBux21vSokCzke71H1UTm1lCiZJGbpApyEQ33y3KEYk2vBxkoqjVGkpxEF9QiZ57VQIFs/cpL8P4UH94LZQVbjC2IHwOsGMXcwghuQCcV3XELypQTndnwy1xGfHJ1eSOQuZpSj4PgWrfMXUTl5JBayHG5nh794BXc+ezKy8RlFAKCW96e2LIZZJ1kWD6O3RxV6YO/K8zQUQst/iGVTgGwvxPgTT7dzlEMB1dFutPsebjVRWKxDkmVYK5di3iVxgWLn2SXhycFGgy1IzgoRdFS1HEaNDfSuxDcEqbX7uE2D2Jb21WhhHsdF2o93kPZVnzunXiXArr+2zRV0tjBau4ocwDINaZ1HtUxKatmNBgLPx6jZI5nAm1eZ91BdX2FlXdh1CgKvaTggBP6+hWGjjVy1GNtI0ZC07xASv9MfYvDM06RNfB+SrsHpW3BDxXyAvDNZU0MeqI3+s6TYtbZ4HDKIF5NyLjuPjS9yTQEbb9S7Qi1rPMUkZrSwnBS3URHpC9TDw4dSCymcOGrU02ouzaG/tg29bEILeU9Of8j6hqypsBrt2GZSEzI2xQ2G3ekn5pa05BvqdfPtK89LdqFa5ZT5BY+XVq2Sz0PPprtB5nkmcxKC4r1W03guJslKQqtur78/sKQdAK8bxPrrO5DDcCMABFvN8angAheButw9az3taPIdN/FYjQ5k5TpGzSj8KPLGRK4Hv2hOo1cjmmbuPaMQSJK/J1nWbnpqLSzOho3Ju1jeCnNVANwuPeUdqoUXrnxSbZfc7yrHZ6PEY1lTYXcGsXsSAQ+d5M3QA+UObbYgafUWOai9hc0vPpa4dpp3crjdYv8WF2KdW8j4sDe/2KeFLwEgn+EJZdlg3LNRbs2o1WPe38FGA8PtJo6euQPW1RUMtprQ+kNYjQ58z8Nwq0UI9n0LoxbRvtNLBfQ3dqGZBgbbLczeEb+2Tgsbh9Y8fwWD7SYO3XMOrQurKCzOoHgm8ljQ0k6jVg92pw+9bLLFftjoQDV0WI02VDPPpB6MmQoC3ye1JH2fhWNrZhlQNAy3mozUnCbzwNowJRlCzGoc1/6i0YLPPnc9MXRHx5/DAYdENnVMYNRix1iNDuzuAPlwfFmC+Ks7tOH0o3lR7Iv8XEdlOsT7S5vXeqvknKNWN5M/CmQnMkxzDJ1jKfeOziE0sYZyyLqjA47X17sdAK8bxErLh1DO51iIQNE1NgDFwSpm2mWppFPjJw3fcWDUKygejcIIWw8/HTveF0KDvPcgLdNvvwKpk2yv4UE3g/9Q24eOV+PRS3s6nk6WdDed5rGRX8BMH3eBhKlqpyPSt1YuYLDeYMWEeQAqZpWxSf8wCVHNvvoVaH/lKwDAuEne7Aks3Ht7wgvXv5rkA/ECnopQKJ16aoA4ETsLGLJjMvo65Rs5KeK1tbPH0LlMNiiSImPuJachF8pQTSPUiyL/5WolGPUK+mvb8DUVesmMZe5WTx+F0xkgd/ol8fsqVGN/y7qKwlwN+ZvOwDi/gtrpo1CPcJ6m0COgGFeAsK+UzxHwZj/wZaajpmgq21Soho5RqwfNzMPpDyO9Ky0H3yjFdP/m7hofapRT6AFiaFEtj88SHqxeT3ym5tM9qABQvoOg1O3PfJ59Js4lfChu9tWvAEC8dnRDQPtG3NumonbbzWg+HpUiEr2r4kay/sp70H3i8fhn9740cc+NLz4MADj0itsnJgg1HplcXoxPahI3IvQ90jFJxyLbiEwJgp9Xk54jx0s64Hil2QHwukHM6fVhuy40M88Umino4LOggCRviE5GpVsjzoyzEc8G5BewxVfdCbvdjRHuF+69PXa8lOCucCVdUgjjkzhesvAM01rni/93T8dn8adEcchpbPZlt+75NwBgh0WcKUGWt7Tw4yRTZ6YDjT2ZhFjyXKKFVCgjZ9nQymU4nU7M08EXDwaAyklSgcHPkwXX3V6LQjJmFQAQ5CtQ5pYS3MO0sCXN8gQAazXeJ/nNAA9Q+RDQOC8Dzw8TjYYw+cWXhYDnllAPOZKD849BXzwCzB+D4XsIvC8hCEsBeZYN33Zh1CsonTkNe3MdiqEj8HzM3nEKg/UGKne/NPZ8AOBW4jy22Ve+HNbVFSi1eZRPLMLpDxGUIwK+ppE20598DOahOiH7hwC1fvtNgKzAXKxDr9dZGSfryiWUbjkNSTcwunY50nmqHUGgFTD3kpvZZ2ptfL/xU/iL2vzh2N/Dy88mjqHGgyy68eLnGXEsjq6RWpO8N4pPCALAkhiASEsuP19D4VCd6NGF75GI3JK+Efg+Rls7MQ6hCNh5Ppdi6PF+Ta+9Hi9pBQCzr3l1+IAKAivbUz0NH5UfI+O8zdQTV3sJ6eOj62Sc1c6QDFDlINT4dW8HwOsGMUkiNbH4xYIOwMBLB1rst+GOxGtEoUbRhc9r6gy3d6HoGqwMcUUgfk0++41PB2f3MAF40Ul0r7bXTMSsHXd/Y+8yDnvlmNGQLr0PMbsKSElsmMKc7cmp6gBQ9Mmu2OYWVXdrG7KmYri5TbwknDaayBfpXyck/pk2eV+NlXUYtPzRM0SzTr0ZsFtbGO1Mbk/+vvvrceBbPX2U/ZtfpHnvxDiOXRa5noJJ/tlKxwigsFYuITdPwIjV6kJZX4W6cAVuYwOjVhdGvYLhVhO5aglWq4vCfA3u7jZGzS4kRUZ+vkYyHi0bXmODkePZc8wcjf09amzA7vThXDlPwJznQ2pF49QJeTyeZcMdWMS7Fb67weYOVCOHUatLShV1yBiUZBl+twWn18eo2Y0kQLYuAWYVvUabzRFaRng9dzg5jp2tuBcrSw2+lCLfIOWihVbkptKwXUw/cBj34vDftZ9dZdexWz241ojNY07fiim9D7aaMQ6WOMZ4KoXiOBg1ewlvbz9lY0bb1pnC2zQNlYGfT0TgRedxFq4VEksomH4+y6gd2NfGDoDXDWL99QbknI5crQhJlmF3B2xgiryLcWKa/KTVuhifQOu3HWf/bl9ag3moHtPx6SnZC/uIK2KcxrvK4pIAewcw0bX2llVoZij2Z5UTGmcbD04OH/BG3xkFFa0LSR2y+q0n9nwf7UvTFQs/8UayePAyAIHvw7dd2F0imcD3J1EpnIp01r55PfzewpAucIOwZqM9TA2rpIWbeVFKEUTzbcNziXjl+nGEZv+J8Z4YqgjOl3Ch9zZq9bDzKCHQDxs9WI0OciduQf/CU2hduAaj3kHzwhpmzhwlOl6dAYaNdtiGHqqnj6B1YRW5molRq5fwFGv9OBjd+MLjsDtD6GUT2199FpqZQ53bhHhhtuqo1UNvbRvNC9cwE3o2Gk9chqyprDwObUsKKqxGG6POEOYiCdNWXRvwPGw9/DSbC8zURJjxJmpZZZX64o9NE1AWw8EUDHqDaIyK2m68/iDtLzuPXoLT6WPQ6KN2iniQncGQjTWnb8HuDtBYjTY55eW4rAcPvDybFHkXNwJpfMz1z5HkhPxcbWKptL1WxhDbjPb13hp5DnFTRNv7ReV4HSjXvyB2ALxuELN2O1B1DZ5DyoZ41ojtoBRhQRO9WRSI8TUA+QLBQBwsOX2SIcVPNLISB3PipMkr2aeVvJnE8dpPfUdg7zUes8KJvfXszMs0Ky7urVbkqEkmeKpVJFYEAJLE4GlsUoFeatKIXJ/fFQeeD2cwhNO34NluvJiwcH/0vfthWKW/0WALfjUMNwfOKFVwN63t+QzYztW4JAZfNNtqRACbr8Awrv4df4xotDyM04+ANu3/gedHG5qhC0VTEQw68CwbTt9i/dTuDjDqDCONqHIBg34Hbt8K1eI9VE8tMs0tZsP4uyW8ujw820GunIfVGsSkWbywCDhRynehGmrsXfOcJjrGBltNomOlq5AVmc0H/rDPJD7oe80al2mbGnG89VaTHts0o0KrfoY3ZrBOQClffoxXsU8czwEZ3/YQeD7zSrmWy+p4ylobo1YvNudR8EItXphbQvfqFhRjsqwLX1ZNyajlCACDrcnjWqyJG7tWOI/TsDv9m/ZX6n0cvOglgw50vJ5vOwBeN4g5gxEch9SRk2QZnuWwkhiqUIrCtdKJoxLnvbB78cHJezZG7RFUYxADBa4Vd6X7Qq1GfoEW6ziSe5DGP9xzMLGo8yQbV9sPAOR93ONeSxbRCd4OPYTiuwKy6wyOs6zn4o0WsOY5U5KiwB3aYc2/ILYIjXvPVHdNNXS2oNCwmtfcSs12s5rJ5+JDPmIZKh7483UV+b40rpRQFrmeltCxuN+6LGzvw2rRcKwDu9uH126EQGsEzTRg9xy4/SECP4BnOXAsF7Jmw+458BwXo46N0mKRSD8IoWT1SBxc2l1SCoyGGd2hGwtPUu5Rf7MPu+8gXzOYp6e/2YdW1Ml9GdE48G0PHgDJsjHYGUDNh9yg5jYC18FgZ8j6nVEf7zGW9WRWo+gVzioFxs8paQCPB9PkeuT9W+vRJlAck7bBhQSpl7JDnscduqwPjdoj9tyKYZGM3Z3oftS8sPHk+oJmqMjPFjBsxPtr6UiyPYY7YTm2Qn6i933UnszdVLkog9hmfrjBsbukT2jmMPyb9FcnHCP2i1gy6MBeGDsAXjeINZ9twVZUqIYKRVdSPSXURODTWSUTQvlItMi1r8S9O/xi29/sY9SJ72xF4CT+7Q75RXLvA7+QAkCmsdbK3rxUdDJOs+qxvXmvgPEL/zijC0Pz2RYAoHw0yefaj+ctyzPAm1+IZBOoSYqMja9sYuH2OWw+th1b7KjXgJpWJF4AmsFld4bobYZ6SWHChTp/FL21BjQz7iVd+1JSzqR4ZDZ2H7ytPxyFQ3nvFN/3RLDG7tMc760Yhgsw308DjxC7Z26eQfc6aZvmsy2ohoql15vwbRetKx10r/fg9B3iJbRcWE0LqqHCHbrQixpWP/csBo0hFI3USazfdjJ2bdmIJwOMOiMMdpowl+awe7FBxq7Pb3hI/2peJir1nu2hSksDNYZAYwi750AvamxO6G0NUJglofv+ZlRzVdINyIaJwc6AAa8sOZb25aQ3y6jFuZo8IBat8UwUVk0DaOJYrITjb+epyDN64nXxkkHXvxQR3OfORX2ndaWDXFln/WHn6V22IVX0Fmonq+hvRUBK3Kzy32mmjlw5x8bouN8AQDcEiZqZm+jx2nl6MueRHwOWUIeUtj39XJKl2N+0P/fd/c2l+7GDWo0vjB0ArxvEqscrKGoaFE2BUS+hfXmHFQjmARUAtK/EXdqzt5BwDg+u5m+PZzPlynnu3znophYj3CfUyTM8Cmkcs6zi1ACpp7YfU6dQg+YtK7QySYcn/Xx7807JjFtTBZCeHLDX8CkwuX3Z9Qeh5pZQqeDoq8kCV7+5FtuZmwvpbUKzkfh6fDSBInBGMA9VE7y9o69IbhZ0TshS7Dd8uHKwFQGE4mKUHbb1WDr38MirkuKf1FY/TzhcFQ5oD3YG7B6OvIpkNSr6Cmo3zUEuVlE9fRSzV7dIQexGF7maicDz0b7ShLlgwunbyNeLkGQJ+ZqBmVsW4Fk2E72MHjIOCGdOH4ZvX2NSENVjlVgiinmYcJFmb6lD1hUUFyusnebOzSLwAow6I1RORCAkVyGAUS8XoBm7DJAplTokTUP95kiaI6vfDHaGic/E8VM5Mf73lRMRj6ofhhH5ELAIxmg27fI32dxn1dgxsynHA8RzXDpSi9UZ5YGdeagKndsIiEXUec+1ZhrQS2ZsvgTAuHK81U6TLF/Kk8yyhdvHZ5BS44Ft9WQ6/45uzOjmeOYWksSw9gCZCz13Ou/382IHyvUviB0ArxvEikdmUcrpMA/NQFJkmIt1JvonqkcXj8R3Sk4YVspxOzJ+ggKAmbPRznLn0YsoH18cL9CKJI+Mn5DTtLWGE3hLk4pwjzM+820a00vjAd7OHjW5AKB6UzLzK8toO9EFL61wblYZludqQcjV4xfc7tVNmIfqyM9XEXg+9BK38AuZXfT+qfyH7ziohcV5qcwBjBJKywvJlP0UQMkDbjFBYFwBZ76/z55LPyYLyM/cRO6T5+ccehnxTHVW1llWbv2WOeTna5DyJtRCHoX5CgPns3fchPalNVQVGVohD6/qQi8VUDhUh90dwLcdVE4tQRFKyVDJB2qFQzMod/sYbOxi9pY5aGUzXh4pBGrFxTKMegWKoTOSdml5AU7fQn6eCANT3mC+XkSuWkL36hYqJ2ZZKErSNEj5EopLs5mK89ROfltSt2r1M3Gl+6xQY42bUwohgOIBjihmTMnhvJe1JoxvXpKBcgbrt56EbzuQdS0hUAwAWsGAtdtGiSPUiyXS+JqfRPF/hNk74kkuaUXenfA6geejfDy73mwWv40avX/xGYAoLJ+fI/dB52DaXyk3sztygIcenHit58UOgNcLYgfA6wYx33bhSxJcy4ZmGiwzC0gujk0hU44SmHnStLhz5QGAVshjuNWKpYrzwAxIekz4iTytphkvxppmadpf09jm5x7e0/HjMj4BJDgd01h1vGMl06gHUWxHIAlqp7FpkxNyFbI4zJyLQmCSLDOgopp5lJajdyEC5mK48AVlAngCz2eLrzpHFgDPnIG5PB0gLd4UNeDWQ/HafTzROM8BRX7xHZdUYGaI4VL+Fw8a6HgoH19koHTU6qG4NAd1YRmB4yBXXYHvEO0uKhmRq5Zg1MsYrO/CqJfhDiwU5qrob+xC1lWos0KRbDM+VnO1EgLPR3FpDr21bahmHuphbsEPw46FQ8/Ad0i2HX1XgecTzllngHy9wvpSf2MXnuOievoIPMuOQHaxDi9fQa5WZG2Qn9JTSq16Kg4k+cxn0XhNKvrvLMBHw57FpVnus7innR8vvJJ7cWkOkiLHuHoK2+SUQ2X5CIx7gneKnw/NpTl0Lq/DEOUcUsbY3EuIAK3VaCM/l/SI8dZZmSyZk9U+dF6gvD/6Xpk0SFiGTDsI333d2wHwukFs5txxlPM5NjD1kskE9UTF74XKZB0oWr+Rmj4X7QZHGxvQ6zMsowpIAjUxRMF70TK2RgABAABJREFUx2ixXt7szfHligBAzu/PPT57x6nJB3Emis3yZqZIO0wyqiI+rdGaf1LoceQz2KiJoptTnXeUDAul2cgg51Y5oFu5aQmKWUIwsmDUK/FSOoLcACt1VCJAunr6KApLi+FnpA95Zh3wfSj1OOjIc/2Jmsz13cqpuDhn7czx6Pk43pPEFW8WdZ6oZYV9WJYvFwrNHSL36nVb7LeKoUPJ5RDkTCi1uVColIwLtUy8X57tIFcrQS+RUj6FI4cROA40Mw9jcQGSUJuRcuyoaYvHUb91gMIt5zDveVDzOSiHOODVJ8CmfIJ4oNWCwQpbU3FUWVPhex4bo/VbT0AxixisrQPlQiQkquUQGCXImgqjTj7LLS1jrIkZmUgCg6wSXKJ6PBCvQxoIOlTUe81naRdPjPdo035qLi/B6/cYKKZGQaWkyKicWopRCcQQP7/JNA/VIStyQusrzYtKvY/FM+cSBdFFM+pJAVbRCsePR/coaNHReb4Qfk4rC9B2pGNVe1EFVOV9Ryvo7w8saQfA6wYxfWYGeiHc7ckK5JHFBpwk8EY8oTAv7dw8d4QHWvSc7HhFBlwHihlNqr6Q1SiGkRwug8lIEUvNnbgl9bnY5SdMWuMsWDm/p+OzhFzn7jq99+v3s0OooikLZKGjmWuqEHrar0n17DAHu75P+ozPLXqyqiHwPCj1Q3CvXc70nlGlc6VFwoLmyZNR/2qSz2SjBKk2B7/Xiv82RV3f70bHiGFjvgQLr6LOp3WM4xrqS8dSPweAwL+c+Iz2C1nV2DMGvg+5VIW/cRlecxt6pQRJ06FWZyCpGrRSAbpuQM6b6D59AaWzZwHfQ+B5yM1UEIwsBIO491LpxxdTp9OA73kIbCvySI84OYmwfdRyBW6nDdksww/10tRyGZKiwLddaOUCFJMABafZhKTpKCzMYri9y84rD9uQR6Teo1YMx1sKuBLbhDdxA5YFjGIbwnB+EQVleauEx/jc/JXlCS+e0tm5ZduCOjPH5sJKLsfAulJfhD7oxOY4TZgzdX6zqmooFYuQzckbWNpG/qCLYAKIoFUfpjkfkFJVQBU4kOH4oPeZJRr8gpn0HEON0oF3Ls0OgNcNYv6wD18KU/l9H7JuMC+TL6hJi4sRPU7WosVWlCzgQz5Wow19YRF+NwojDIWQgngNXj4gL5SKAeJeijTzJ9Q5G2t7HPRUkDLN9irGuh/L5cj1gxFZgIKUhW+Syn+aye50maSyFaq2dyJA4DsuFEOHbw1CWYPonkTPJvVc6mcc9jddjNXFE+wadmMD7iDuhUtT1FYL0bOKIdZcjdcT4+szRn1tHA+Rr9IgGgvZcEWPc4skNOr0+lDCtuytbiPwfOR1A8Ggg+H2Loy6h+F2E8XTtyDwfbitFoKw/NNo7Sq0ahWDtXVCzrZsKFvxsaAJHjC3Q1TkA6tPwmOGzryiAOCHi+lg9Tp8x4Vm2dBCniLT53Jc+J4HPxyjqpGD3G2he3UTeqnA6pP6/Q6kXB7ucMQ+0wbjPaVpmyU7kQU5Pisyx71v6uHlwQM/v/DPw88lRVEvMB95nZwO2fTImopRqwul1YMWeqX6a9vMO5cH8XDxXi7Rc8ePfdqfNXP8s1FTi2Rz6ttW7L2lWfdKsnalaDzUE+cG6gmXjTDU7ISbqHDzx9aDF5Ncf2AviB0ArxvERrsdWMMRmzwUQ2dCm9ausGAJLnI6kfATj0h05n/TvHANRr0S03oSFdZFbo3VjCbwNBJ1FrcKyCa9Z9k0JGHesgpQZ2k/jTNR3XqS0QmehgXSyPWF+b2HGt217FAutZnTdwMAdrjrepYN1TQgKzI82431ExEsUXJ07iopmu4OR/BpP3nsAQBkoWs/uxqrfwekh2p8DtCLfDce7POk7FjJoCmFY3mjC3x/K1psaUIDLZANELK3M7CglQoYbjfRW9uBZ9norW2jsDCLwXoDkiKjt7YDRVMxavVg9IdY++yTWPqmcxg1e9CrV+MXFzYKvbVtOJ0BJEVGf2OXgK9SxHWjdVeH2y301rahmQbrO72rm1DNPOxOH4quMt5SaXkBg60m2peuQzE01p/MzWuQZDmWRJLF8ZotJ71NrUQCxGziGGr+Jq9cT56bf3eOUBWBfsdLXIjzRloWsdtoo7e2DcXIIR/y/wZbLfZbSZYR+H5MNFUMkfLXDDwfpeX5xEYgba6hCSFGvTxR+HiabGX+GuLmVg9DiD6rvEDaj4n6hmOku4+s6H2bJD23QtfSC6Pv+PVuB8DrBrGthy9goGtwLFIgWzd1tEItLlEPZ9SOg6Q0rSNRuJMXO2w81YCiPRUDV53V6UNqzaeTIGCSzpSY3j2tTVP/jLfe9fFerfq5w2O/G2edq9Mpd1NzemF4OJws0wRUqQbTXozXUcuy2hveBgBY/+JF9pnneCyTbNQZxXTg6mfiHC8q0jhz9x3k+FYPK3//BADgzv/vG9hxzfNXmSAmtWv/95nE/czfHoVIxQ0DlX0A4s+X51Lue1vpHK+T3zqee7f5FdI/eQ22XJlk63VWO5i7jXi/Vh9Yw9LLA8ivNDFqXsPK/76A4nwBw6ZFvFSej7UvraF+c41JL+TKOnafaaJ2ahdrX3w2URi5KNAfO5fXsfnVDRx51XGs/O+LOHzP4dQF/tlPPgFJljB7ps4W2P5mH76/i971HuZunWXvcOXvn4CaV1Go57H15XUEHgEHC2/8VkDV0LocAVqq4p9mvv9Y4rONL8eB5JGMjc/O49E8RPsCPw+IY/HQy0nCx8W/jcpNVY/F208rRtebu+M4APK8gRfA5xI9ms+2mDRD+WgJh+89hWufifqTWLmDl84wagZu+pcGnv3kE7FjbnrLnYlnpEr5g63mxBqJF//n5KzpQy+JKCDivE2fh26k179M+nEllBOimmJ978XT8YIkP0fgdcDxSrMD4HWD2O6lJkaqCr2oo3ykhO0nd9hALC3Gd2+igCoVnIylaZ+sxo7prEa7O8/xsPXYJhPLBABdEKSkoqzUeP2Z8rFkdk93NbtOWSFFI2caW3vg6uSDOBPbirfGk5NDAaLN35lBTk4xSuJtX20BSGqwAfsToK3eNJ0EBQ3BlY9w5XhaA4zaIxRmCwkguPGVuEdu8W6CHGg49PrnL8SAEL1GSaiFBwDrDycBOZ/Gv/nlldh3hdnIQzZOmT9XTl/4p0nd5zXK6L3NckCzcqyCwuIMAs9DYb6G+s01KJoCc8FEb72NYdOC07dhVAtMXLOz2sXMzTVsP76KxZcfn3gPRBKClP+qn6lj/eF1LLw0Ao0MoA9dVI5VIGsqE+o0F6Kxnq8XWWUARVcgyxKspoVcWWfH+MM+5LwZExrN2vBsfTWZbFIUdN3Ed8YbvyHsXCMbN50DTqIY68aXkvU1i4fj46P5bDSPrH6WeF3rt8yiu9pG5ViNea21oobOtbCY+M4Qm19ewfzt0RgRQRLvsVcNFRtfejYxNvnNCjXa9/WynprNzdv8HZM3r3ybiYKtdF7YfYaMyYXbyRij8zsVMpb8Ay/S17sdAK8bxNS8ClVV4Xs+Ai+AoikMDIlASwRJ1DPGKz1nKa6XFouwOqMYUBMngZmb4pMMv4PkuTPRZ9m7sCxB1iwr1PfmHSrMjwdevCdgWtsrL8xqkQl+9izx9HSuJkOV5vxkUu9+74PyUMQah47lwvd89Df7sclfBFX0/mmyhaTITNCUFu2VrQGsRjtB0p+5OQmu+fsWj6eipkC8/2RpR7Hfro9XCadq6/zGgr83KvZpNS04nT4C24LTH2LYtBB4AVRDhZonFSRqJ6rorLaZcryiyaRuohKgt7qTCGmJ5HJSyNqGZubg9GwYNSPGsaOlmcpHSqw9ioukf7SutKGbOjzbQ3+ry8ZQf7OPw/ccxnBnALvvsLEe2BYCVYPdd+CGHp58ffx4KM4nQZkoKpplRi0am3T+GDQigCPOUxRcmwvjRXVrJ6N5h3rMPMuB7wcYNPqs6oJne8xbZtQMOH0nUy6G93jRPi966UUleSCiJ3i2O3EMZlUboWaeiPqhSH1ww/unQrC0piV9ZgpqHffF8yIFkozgOXitnstv/znbAfC6QSxXysHQVLbrUfMq8zpRZXpq3fU4KdSzyQDmywCJQIfffbavdFA5Vo6BKX7CJOcUiifb0fkqx5I7rklhPLc/nuSbZeKueZJR4JBmWd6wcTauSPM4o+1OOSWenQSctFbgXowXPc0y9RDx0OlcpQJJkdG51oXnkDI4/OJaEcoo0VCpXCCLf3GxhN462ckvhSrtoowEtTTwzRduLy7G24JXpec9cbGC7GMWs6xSNnQc8Oehm4zqyTrzztLKEJJuwHNceLbH+nnlGAEAves9sinKk7JBnuNDsT2oeRWDxhBLQvhUlH5x+hZcy8X8XafRuvxFGOUcCkeisTLa2mb3HPgB7L7NdPs2v7oBRVfg2z6cns08eI7lorPaQaGeh9UZsTlDLpQgm2V4tsfac69VEopL8ftXtNbYY/nNHSvKLY+vs0kBfHs14pGJ9T35OakUem2HjT4GO0PIssQ2De7QZWWmJEVGvmaw9wlk12V1LBeV5WqsWgKQvmmj3kdRFyzNpqED8LzDcfQMCkxp+1EAS/8eHYQav+7tAHjdIJav55HXNRTmZah5Hb7ns12kuDMyhZ2qJIeEaC4sI/IHeGJzZ7ULo2bGJmVx0uAnUADw9WhCTOOU8UT9NONVxPdi+dm9eYdoUds048HItLbXhcvQyTUoAONDfi+GpWVMDne6kHUZpaUa2lfaMU+nUY23iRb2Od5zw+oihtmAkqoxjTneFD05ycpcCr7YB3jP215rMmZxCuk4kLg+TO9tuNNlHoV8zYCkyHBaRNurcqSM7noP5nyBiJeGni/KySsdqbAQsqIpKM6bCS9eQptJJ/VX+xsNKJqMXDkXyzil40YraigYeUiKxD4z50nYsO8FBPiFYCpfM5Ar5+D0HSi6wrzCfqeBwLag6Ap7xqykFxfJvi1yGrPaWeYAfEDpDtx7zNfj8xTtM/w8VZiPjw+xsDZAPMTDpoXi4VJMAywC2DIkRYpxJ8X3wvcjRVcgK3Kib6VxuOj410wDsj6+PigAlA5P3tjxbSJer7hI2oLyWmnb06QVuokL9pFwcmA3lh0ArxvErJYFVXNRP3sEvbVt5Mr5WN0z3sTP6YTDa/CIuzm+7llhNk9UoIcR10gk8It/88AsTQdqUnhov6HGvVr1pvGeN1EyYxrba5FsuvOfu5PoTDUvJKU36reO16AaZ7vnp+O60YWf36GreQ2zt8zBs2zUTlYThbF5o16DgJOvqJwgHi67TRZFpd2AJMuJxAe+dh81UdaEN1raRzS+L40Dvlk8ufKRZLYe3cSoeY29U6NmIPB8uMMRnIEFSZFQv2UOvfU2NNNn99i+QvqNJEuYuWkWVrOPXM3EqNlPhJ8MQSLA6VsIPFLnz/cDSIoUGz/0+WZumsWw0YPdcyJdLkXCqGOz39D3VjtZhXmoiv5GC47lMj5nMLIAVWeAEcged2l1HH07HsLNAm4FjvNEE3UCLozKK9sDUV/gi9WLYIbfHNG2UUwDlSNluEOH3bMJQDWId7t4ZBZuf8jeE5D0wPMed8924fRHsQLu4jHsnjth6F1zJ85h01AIeMFiMVudcsioaCvTzwszRuk879t754ju2yTpuWUmHmQ1ptoB8LpBrH7uCEo5nZUJyc/V0LxAlJD5ECKQBEXUre5yrnZJcLXzNcKu/p9nsHjvaVaCAgA2HokXo3Z68cHNh3bEcwOTsxqzildn2bh6fuMsK/NoP3ISewWMNDRGfzdM4Y1Mkt5IM2dKQn4QcrP4EGngB9DmDXSu7EJSpFiR7MV74zWRumESBuWKmYt1tgDS9Ha93cBgK1n2KLU8EhdKEosQ8+CQl42Qlah9+pvpwE0kZfPWu042HXyfveU7iMxG44krrK82n20hV+5jTtfgWSRkp5kGAi9AcWkOzsBCb3UHap5QAKymhcqJQ7j+pVUcrpnwPZ/VU6UmcrxciwAuu9uHZ3soLS/ENMtoKMvuDNHb7CNfMxig9WwPiq7A7nukYHeYeZyvGehcbaC/OYBW1Bg3SS5VAVmBZ3sMmGrm+L42ezxZgaJ9Oa6Dl58fP6757ExaG1HhPKG8RAg5hsw3PEAS+at8dQPaJ9qXN9Bd78Eo59BbJR65UceOlO0XfahmHrLSYr+lx1HznPg4rpxIykmkzTW077uWPbFs17i+yhsPvPj5F4jGj6SQYxqPr4T3SjY+LNT4Ynq8ZJn891x+f2AJOwBeN4j1rm0B4e5P1lT01rbRD1PpeRIyEM8GAyJvFE8mFomiJqfPY/ccrH/xQsxrQBerccZ7fropx/Lk1TSbBMzGmei5m2R5oW144z1805q4MEwy+m5oGrpmJIdYf2M8MXzseTOSBnijoUZ+ofFtD61nG5AVCa0r8cwrMZOLpvNTQczmhTUWsqOaTrJZhuf4iUzE5sVkkWGd65OeFfcedrlMW2cMx4sHibxlAS8qjeKMovujBZfdocuep7naQXG+AM924PQtdK514Nseuus9lI40sXtxB+7QJTwrz4di6uhe3ULnWhcLd7oYNIaonIgvLKLIpiQToKuaeTh9B9f+7wXcdiqqc0kTVZrPttC60sbsmToLR/W2BtBNDe0rbfhHymzj0Op0kCvrcCwXva0+4wD5/S4kTUPzcoudf1xWKJBeh1HkRmVRCHjgQkEJv6kQPaI0EWH3YtT/+YQgAOheS+reOX0H/c0BZEWGH47H9pU2+7eaV5Er52Bxc5TIDYzzv0jYXQRKafMDnYONmpHJG6P3NMmKi9EYGadR17y0Ed4P+Z4Jz4bzte2+eMDrgFz/wtgB8LpBbOfpBoaKCs3UyM5us88WcVEaQiRs0wmZX6TErMTm5WiyMxcK6Kx2YyGnmZvjx/c342CPB06VY8lQjujNEE3Zp8dr5dNP7+n4LNkFK0PVfpzVz05XDJqaG4ILGh5Ie24+HDOtUQHQiRbuMHlQ5FguFE1BYb6Y8MCJOllLIamcArhh02IZmjTMI5eq0AwVviaADj8JUo1qBIR5YjEA5CpRn+KBIs8v5OUJeMsS5E3LruyutgCQtqByKMsvP4xcWUfh+HEs5nMIvEfhWi5mbqqhv9WF1bTY2JNkCZqZg9Uaon5mBluPbWLu1jnk56ux66jL8bJU9dtW4VoX4faHMOdNdFY7MS8qJdLXTlahFTXkawbT3qoeK0M1SHalOV9gmym776AwW4Bv+8iVdZYQoB4+DsgkE1NJ0dUSrX0pKa9iC57uNI8ttbSQbm89Ah981iMAdNcI0OOThcTwdG8t4sjR+Wz+zmVYnRHqt8zF60OGQMio5bH7zG5snhQ97HxfK8yX0V1rxuRGgHTgtHA3SVbpre4k+GiiiW2XZrxXuL/Ril9/hYDO3WfIXE1DsvtJxjmw58c++clPolgs4pu+6ZsAAB/5yEfw8Y9/HOfOncNHPvIR1Gp7F8MGDoDXDWOH7zmGUk5jhWCLW81ooRMmEUcokkq5SybnxhbJz8UjXDkNTYXd7ccWANWMT5KlI3FPA1/sNJ+ivD4pJLcftXYAWHrF3rIhsxZkUTJjGhMX1kk23GoBAHI1srvvrydBVhq35vkyeY4sFLyHrLS8gP7aNrSyidpJN9afFKGf0HtT5gjgrCxX2WesjmNtHtXTR2KlX4B0kMlztAyhj/Bk+3FZm+O4g5VT4wExIyfXIq8YvTfF0BlZOfB85OdqUOeWANeGUa/As0bIVUuQFBlGNY98vQJZV0OulgfNNFA7dQjDRhvmYj3xLmMFsEH6fXGxgoV7zsGzH0X5SAXGTefY91R3LT9fhWbmUDhUZ/fXvboJzcyjMD+EUa+wTFmr0cbM2WPorW1DkmX2uTq3hEA3MXv7EeZdzNKeSvO4lOO3j95a0ovJjuVClXT856pRnxDHohSeiwcfohwHL0hLqwwoho7Flx+HauhsHqoi0oiTNRWKpsbCeCLlQNEjUKUV8jCqdmIzk9Z/zUMEpOfrSZAp2iSBVSA+d4rzKK0EQTcrVHCYgs1CyJHTRw7wvyde6vmxb/Csxp/8yZ/EL//yLwMAHnvsMfz4j/847rvvPnz605/Gfffdh0984hP7Ou8B8LpBbO6um1EuGPAsG1q1Cruxy9z84uROyZfU6ATHgxtPIGDy5+hd20Tl1FKmLo0I9vgyM4XFJCma1hcbe759Fsme2SPHSk3hGVETAetU5zP2FiKlhaBZHbmUhW+vZZCAPdR3DD1t/KLiWTYqp5aQn6+hU4ifRyzzQyd5+r7KJxYZ90WphwttoYrS8kIiWSENUPL9hoZfqfGLLg/QeLA1jpeXVRqKlsnh27l25jgAoPHYRajhOFHNPGknWYZkmCgtzyPwfEiKjMLCLDTTgFogNVMlWUbxyBwhyXseA3BioWPJF7KDNRW5agndq5vI1UrI18uxeqKSQdq5tDyP4VaLZM+FYy8/XyP30DeglwrsPXSvbsKoV2DUK6TuaijZEbgOJNlCYa7KwGfWhkevVROf7T4erz6QxbEsn0gCLx7Mif2c9i3ea5UoLK0mMweLS3PorW0jX6+wc8q6yvpJfq5GJCW4/idemwd0iqZBNY0E8ErjcBVPkI3MYPU6a+dxNg2HlL+mOGdS7TxH4MZpHBAH4mPqBbdvcOB1+fJlnDtHNkp//ud/jm//9m/HBz/4QXz5y1/Gt33bt+37vAfA6wYxb+TAk2Vo5TLkvAlZ67AdkVrNDuOxxZIDSzkzvkOjRZsBsB09DypED5kki2EkzjtWS07Gk3Z7UmHyjjH1d1OIafLGF9kVTStMCV6ew/W1OuGsUK6PluKK3k+R7GmLhfs6ATO8VyFfryA3U4GUM1A+EfdOipN4bp7cPwUE+XoF6gx536yob+BDyeViHiUA0BeFRRSAdXWF/VtcDM0j0cLtDaPFhu/H4xaZtALP1PyUUK5cqgIgi3j+5M0AuLCwrCBwHZjLRxA4DiRNQzCyoJdM5OZnIWk6Wk88Db1ONhz+sA/NzCPw/WS/D+J/S4oMxdBRveUEdh9/BmrBgLoQVUPwaRLD8hHk52qQ8yb7LD83A6gafGsAWdXgh5mm5ROLUMsVOM0mikcXmLCtpBuAJKN49BB7V27GZiNNj620HOcA0mLbaabOcV5H2je4rE7ah9j1Qo+XyYE5KRcfC/w8YVQJQV4tV2B6PrS5BXb+Sr4AP0xkUOeWYPo+9AUuWUDILo2NQ1mB3e0n5tVCGucqLPqt6NrEBKHKTZOzlRVu7hT7jhzO2Z5FMpi1Imk/+p7MMCnDy3gnB/b8mq7rGAzI3PQP//APeMc73gEAmJmZQaczfZk90Q6A1w1ixrGbYJh5SJoOyDJ0VUfvKVLTTBzwiRT2cKfHT7K5Wpw7IZcjL5W7von8yZuhNKMwwnAzHlIYVzwZSGZuAVMAK3/vvCYAyB1KF+scZ3KxOv47/crY78aZa+1tkjPCHbscTpZ0F8vbvkCoO90uV26STFi+YLBeKiA3OwNJNxB48ZpzxlK6/IZ9kdQ21EoF1qbeJlkQJFWD3e4mCojnlpLllfgi4byHhNxsBGp5gMX397FFsjPagz5f7JyhsOlg6yso3Bxd0zdysC8+CncwJKBZ9iDpBuRyHbkQ7Eq6gVGrxwCztXod+bkZ2O0u7M14mSRtqRW/zVBOovX0ZQSej8KRwxiFbQtEGxy5VEPgdyHpBvoXVwAApZuOA7ICv9OBYpbghPIDiqHDH/bh9IeQdZVlSdoXHgnP40EK733UHO/VNl+S9FyL7zQrpCvx3ik5BFDcexFBFR8KZMcIY4H3jOuhR1QuVuGtb0LXDXZNb7QRp0oUjNhmURrjTaJmLs0xkeDoHMmFlHql7E5/olZh8dhkPqjEbYglV+CEhc9Gt8OjtRCAHSeg0e4+DgBw9jgnPSf7Bvd4fdM3fRPuu+8+vPrVr8aDDz6IP/mTPwEAXLhwAUeOJDea09oB8LpBzO/uwvcMMhH5HgLXYRwHMS17IIRsKMeDzyISfWTGqbPs360L11A8HfcYtJ6J123zBaVmnuCZ5gWaxOHar45X7vDeyO1ZAG+aUjSi0XcwrRUWiMdICb0afjep46WkeAwnmddJlh5KM+fqBQBRWRwAYTiqgOIJDe1La7Hi6AtzcYDuNAhgo96rwPfh91oAwIQ/JX0NncvrGAgh7+KRpNZY92oUVhNDO/2rnIJ5I1r0+HAx7duiZYWU22EGL9+Hy2dIplhnZR3lEwSAdy6vQyt3MH/P7bAaG/AdF05/CNXIoXD2dsD30F9dh2rsYLjVhNvchmfZ6KxsIFcroXVpLeFFNU7F31Pn8jp6azvI1UwMd7qo33U21YvnNlYw3G7BPDTg2mIFmpnHYKuJXLfP2lI1dCiGjsFGA6XlBQxCXmHhlnOAqqF3bZNJdYxrPwAoNzYSn/FAGchO6vC2k33b58CEqOJPQXTvcrTJmxGO8QZRP6AA2u+10F5Zh14tMmDWu7LG5rsyyJzEg2C1HAd0TqvF/i3JMgLfhyyI3aaBfOsKKXzd39jds/c7zSrc2BfFdtXDhGBHN7bNC2RONk6QhA3ar7ujF0/HK5Ck55jV+PWt4/Ubv/Eb+KEf+iH82Z/9GX7zN38TS0tkPfq7v/s7vOlNb9r3eQ+A1w1ivWevQDJy0Ewibhp4fmqdPyDK0KJGs8V4FXIRMKjcAtHf6sLZuh4DQyK4E41XAecXSWqTgJVI4p7WZC2ZXp5lzzf/Ya8cr+4Vkilm9MjuOC1lv7gPHZ5pazWW7iB6Vbzif2+9jZ1HyQLSOL8ay4qtCh4N2m8WwlCeZ9kYbhHJCcp3kSt1eI4bI1fzv+WtejraFYp9pPHEZfZvPrWfl6AYV4YlK0u28TQBKLyUR+cpwl2y+w5a4YLWvLyL2bM65FINuVoLu+evYNTqIlctwVg6DLvdxe75Kyxs2764Bmu3DXdow+kM4PaHmL/7TOzasil4UUwDjuWiVAoLb68Twjw7PhwXjcefhdXoYtTqQg6lPHafugK9VMCo1YPRrTCPS/vyFssY7FxeZ7pYR76zCknV0bm8zjhzIoePN2vlUuIzsURWtpxE9L4ZSOLAbmExniVIxxKfTUmTUKjxv6eh7MH6CloXN6CXCkyuonnhGrtXz7JRPrEYSwRQjPjc6XKbUkmRUVyaQ/vC5dgxaZtH6gH0rNHEpBgKlLKM54mJ3nRD4HhRb6V1mWymOlfIZqp3oFz/otny8jL+9m//NvH5f/2v//U5nfcAeN0g1l3dBnIaIb1v9SApMupnyaIl7u5FkiedcHgirFiepbMSTZL1s0fQvboZ28GJGTaiOjKvMM2LsVLbefTZsc8GAPXbjmd+P85EQvYky/K8Uc/AXoxmNU1rdCGlYqNpoqL7AYeKll2uhJo6T4BU6WjkqSguzWGw1SJE73IuFsoTs9YoD0sJOVGEyE28BzRcrdTmUT5+KMEfSvMYmFwiRvti3EPCZ73x+k98vxwH6LNI38XQM1TgJE6oJ+fQy25im5CZm7ooLS9Aqc1BH3SgmZshSbuM7oVLsLsDaCEJW1IU5GpF+I6LXLWE9so64UoK4TRlJh4az9crMOdLqJ4+isFWE/21HSy88fXR81GeknEZlVMl5GpFBsz66w3GxTTqZdaXfMfFzJljsBod+L6P4mHS7kr9MAJJRuFQPZXILtqwkZRPmL9LENS9Nl6ChU+OYOT6jJqGFJhnZQrzHjqaNauXCqicmIdeLrANorlYZ6BQMQjY5OdJ8T74Pi/rKlqX1hIZlaK3D4iiCJVTS8+Lx4tPekoIzIbAlG7W6NihcwmVylFGB+T6F9M8z8Nf/uVf4vz585AkCWfOnMHb3vY2qOr+4dMB8LpBbO6u0yjnc1DyBULy9TzYDbLDEXlO9nZ8MqSLED/xyAKBm18g7O0tyJoam0jEhUxc8HiwkD+WJJGmZTrylkbIn8bc5vbkgzgTwxu86at7OxcAFI/ujWNGQy30eZ2d5GSuzU6pycVZGq8uzdzluwAAudo/sM8UQyeyCYU8Dt1zLrXOIjVKIMciWYBLywvILRIwpx0j3h23dgT5hQcZuZmanJKRxicFFBbj0iBUDgAQ+FhTeEeNY6fGfjfvkHfAg1XKFwp8H9oCyTwdbrdgHp6HPHsEim0hP0cy12RNhVKpw9khQIyC0Fy1BKNegSTLJNNRkaEuxe/DrcQ5c8bRoyh1+9APH0P5xDaMaokVMgcAvxtqW73kNALfg1KbZ+WatDBcNljfRGFxgbW3eaiO3Pws8vM90m6h1zLQcvCKcygtL0ANVdHdwXg5FpoIwpsoAKsJMjOxZ1uM+jHTpuNCjQnifIqKuXnyZPzv5ahP2Q2y6cotLsGor0PWVRSWiJe1f3WNyefk5mfhdjoxAr0vPAe/SfBtF0a1FLt//nq8UZAe+H5iThVtGjqFedPN7N8FK36PlEtJ52WWwRnyzOi7UF9Mcv03eMmgxx9/HG9961uxubmJW24hUYALFy5gbm4Of/3Xf43bb799X+c9AF43iKmVGhnkvgfICiREQErMghOzw+jCwPObnGY8xKVxpFXF0KGYpdhEowmciEAgL/OE7DRyuCZkMIkmm8nfTGMiD+K5mBjWmMqmzCakNmoSsEzfidtPAiZ1Zu98t7RFIc0KQ+LFoBlRAMlG1OYW4GxvwlhciAm4ioBusErCQJWXk3ukfBgACEZkhy7ZQ8JTE96NpKXIZHDtJy7i+lIE4H1eYoHrq3w2Lm+BSEzmjOof8UalMLzGOnvm0vICId0POwgcB/mFOciVOtztNXaMYpYA34OsqfAsG/mTN4ect366REoKuMhVSwhsC3qpwAAge1ZK4M8Z8DptSN0WC1cGAOB77HnopkIxS4Cqg/yyF8/kDXzIusqyGkWuU7xNkpsK9/pK7G/xfmOPyiXs0Pcc609iZmH4/nlgnSgqziUFSTKZw/xhH2qxCG84YMLExRPL8PokFCeXapCtAUZb0cZK3Kxq3Bwa2BYBYmq8v6ZlLdIMVL/TSBwvGg3FZxqf9SnM67TttGqVfK8oseM0Csj3OCcd2P7tXe96F2677TY8/PDDTCy12Wzine98J37gB34AX/jCF/Z13gPgdYOYs9uAM8wxUBX4fuS+78c5VQlvVLcFIL6jFMNZ6mgY+06S+8yFLf6WXp83PjsqN0hyvCZNSuIOdFrLSodPM00en+K7H4K/CEAnGW13+s6sFG5Wbn5vorAAYu8qy2SLAK/+9bhXtACi/yaGS8aFPaV2pBlEScjudcKJ0XQD1vUriVp3aYCHP794bR5seaNoF89ne417ZyKXijcKdnlZCSVPnmGw0UCxRCbQUbMLWSNAM7At2M0WdN/DqNlFXtUwanUj74OuYbDVhF7bhm9bcDoD6ADc9ZXYtfX5uDfYHQ2hGDqs1WvQyybsVg/qRpSEEIRjabB6HZ5lw1xSYa1eY8+uGDrsbh85AEGPhOEkRYZanYHTasEdjqCFbaRePQ+lNo9Rs8vGb1aIOg049leFLM0Mj5ekc2CZ6qpxoEAEzfSeBlzmpNgnTA6M0L5jd9ehl0xYjTYUjnOm5kloTm5uwekMYu/bWour8nsO54mTZciKAmc77o1OGwtaCIYGq9czteOAdBkT0fIL4z3/tEyXG8oU0LVACs9Lvel+xqbjebdv8FDjV7/6VTz00EMxhfparYYPfOADePnLX77v8x4ArxvErJ0WNE6ZGYj4DiLHS/Si0AHKTxzjxAsBoHVpDeahmRhJns8+A5JlbaxGBCDSBEAVPZuDlJWFlmVievsk08vjAUpWhtfz9Rv6/qjIbZrHa7S1k/hskol178Zam7xHnq8iKQp8x4U7tCdmadLFsbhF+FjDRpuBvmK4KCq1eTSeuJzgAaZxvPj3J/IIeTDJtzPfv8ZxhgoZ7UGf3eHCbLR/9tZ2GJeme20TvbVtLP6LOXQvXELg+3D6Qzh9C4quwWp02JjqXt1ErlrCcHMb3Wtb0AoGemvbKAgcQG1pNfZ3+8JlDLeaqJ1extbDTyFXLSE3H70DusgOt1tMvJVyf2RdReD5sLsDOH0LvfC5iLp9G60L15CrlpgHybjpHIJhH4ONXea9yRINzs0m+Yti4sxYOQ/E+UoUlPDeLHGzQPsw/65FRfjBWtQ2tB0000BnZT1Gjxi1emys5WpD2J1BDKSL3Ep+/NB2FRN+vJS+JusEJPfXJo/ZaULk/IZW3FRQkEsTaaggK30WWpC9+yIKqH6j12q85ZZbsLm5iVtvvTX2+dbWFm666aYxv5psB8DrBjG7O4Btu9DLBciaGpJ4iZt/EqmTLk4xRWgxW40j1+frZUiKHCOXOgLJWiTw8zvftMl4EvDab7ZhGjk9y7K8Wu6LMGHNnCEeD7ropBGJ07xgk2zaWo1SnniCYgriioLu1U0UDtXhWXacCyj0LZq5RXffvuPCChet0pnT4TVMKJoKOSWsJhrfb0QQ63C/5++px4HGcTpSWka2Hh0HfIIBDwDpb42ZCnzHhVKpI1crwekP0bm8joV7zsHpDoheluejtLyA5oVrqIWblVy1CKczIGWFhEw3uRZ/T77tYrDVxsxZGb31dqiyHnlOeJBZWl6AXinB7qwAILxL33GhmQby87XIm+q4pNzRfA35uSp713J5BnJpJqaX1nh8fNJL6+nLic9EsORlAK80XxgPcMQNGn3/fL9JqL1zY5Q+r6TI0EsFmEtz2HyQaBvWTi+z5ADfduFZNmZujeodrf7jl2OnrYUVJQDSJ3tr24k5KW2eZVEH35/Y380UnTLR+CxncW5rPEHeFeXbUtmgrLJPL7hJcmr4fE+//zozXhj1gx/8IN7znvfgZ3/2Z/GKV7wCAPDAAw/g53/+51kpof3YAfC6Qax6+ijKBQNu34Jen4HdiHRjVEErSJwwaMgnrYYiNb40B+V/8LwrUYU8K/RIOQgxm6BcnxUayjJ9bm9u9SxVeFl7Zux3Y68/oUyIaJQ4r1POS0pYII1kPMmmFl0NJzoeEJSWF+DbLvLHjqHz5FOxBYZXjwfACNxyyNmrnFqCNh8SxrkwUvnEYkJqwDwc1wQDInkNILmA8OCQT63PVYWCgSmWSuRnvycbCr5PF0+QhddptdhvNdMgx8gycotLUJrbUI0c2fQcXoJeKcEdDOHbJIuwsHwUeplw+OTjavpmQlCur505Dr1cgF4pYf6uk4RXVuV4TAZpw8opl4TSDJ2VnbJbPaimEQHJEHyPml2UzpyGvbkOdzhi4CCwLSDwWVkjct7xOnhpYS++ggCQvZHhyezUQ+71I3CtluOglOrA8efMHYt7DfxBtClxd8PajrMLsFavQc6bOPzGbwFAxEVpBrNeq6KwaDG+HAAsv/VfxJ+L45LJukFKPi3E+35aIg8dq7XTRzMzNsl5Jy+n9Ze/hP1bnBtoIg9NiKDJJ7kZ0o52m7TNgXL9C2vVahUSlxQQBAH+zb/5N+yzIAgAAG95y1vgTRFeTrN9Aa9Lly7hE5/4BC5duoQPfehDmJ+fxyc/+UkcPXo04ZI7sOlMMUtQCgaUUhWBYyN3eAnr//tzAJIZh6IEAPUq8EWLDcGFT/WdAGD7H/8P5l7zqtjAF1P9xd0fvxM2UzIYS8fSFdDZ71Oy+6YxtuhPaxkCqll8lXG2VwFV2uraIbJ4urvXE8fQ7/Zifmt8Wn/Mjt6c+MhqEO2p3EwFdncQW0BKt5yOHUs5PvpxAgjUmTkEYfYVLQETjCy4w1Gij9CFgTeesKwWhfT9y5HuES/1wUtLjPNSZnH/6Ln6G5GI7MIrqwBIW9CNSvfqJiqKjFy/C6/dwKjZxajVg2YaqN7yErgA7M0deJaNUbOH3PYWnP4QVqOD+ktvx+4TX0X99jhw8HbjoqS9axvoXttEfr6G/to2qmdvYu0JRFxAt2+ht7YDuzNg42uw1YReLqC/sQu7M2ChMadvofPkU3CHNlHfDzc9VWsAd2MlNj+Ikgm8SSkcr+GV+DyQpcbOJ/DQvsCH1sXyXYpJ7qV7KaogodXiVAKeF0ZL+vjDPlqX1lDxfFbSyu70Wd+QFBn6wiIGKyvst3mBgM6DZKczQG5+Fn4/3l/TMq/pvGV3+hPnj0nK9kB8Iylyd2kJJskk83j7AeK1o89MdcK6B3ISL6j94z/+4wt+jT0Dr3/6p3/Cm9/8Zrz61a/GZz7zGXzgAx/A/Pw8Hn30Ufz2b/82/uzP/uyFuM9/9jZcW4eaz0FWFPieh8D32QQsel1MwbtEwygzZ4+zz8Qi2c5aJJaolwoYXbsc8ziIoays3VuaxyZt0eVNK40PDWUZX+tvGssq8bMfT9O0IT5qdIL3QnHKtPtx+3v3vE1bWFtXCX+JB+uKoaPxxGX0rm3EBDoBYHglXkaJkcnDDDrrwuOMr1Z79WvIMXkThSOHWVYZNRG8A/EyQY5Q22wc2OLDW+OEUtPKz1CjwIM/hoplFpfmmMfF7gxgLi9BqdQhyTLca5tMu8tZvYjR1g56azsoHZ2HrKkYNbuwGh2UlhdgrV0nYWTB8ybKmZhLc/AcF+rcEvJza+hfXUXlla9l31Ov885DT6C4NAvVyEGvE8BBuT65ahH5eoWB2N7aBRj1MnLVEvrrDfghCFXqhwBZYXQFINsL3n82GYYUQ6d2szX293zYLK1INk9oB6KNz5DjkSlX45w4flNA76W3ts0qBND36NtupIS/uo0i4oXT2xfHlwfTTANOq5Xgj6Zpw1FPv3lkcWLZs2n4qIOr0WZDpGzo4XukbUDvh3JCKYi2D4pkv6D22te+dvJBz9H2DLz+/b//9/iFX/gF3HfffSiVIlf+6173OnzoQx96Xm/uG8mM+VnkCwYC14Y7sGJyALJQd1Fvxr0fxZDLIpeiSVasWcgDr+LRQ4CqYbgeeaEKR7I9SzzZPk0rS87QzwKy0/+zzH3ykT0dX8wgPDa/+vier19Y3pt3iqbD09BGvpAMsfLhlGlt2sLabo3cLy0EDZA6dfP3FCHl8gm9NZH8XwwV6/05oq80av0tyqfJv5VlUnbKM+tQGuuQCvHnqBlJcK3ORyHu9kNfjH136JujrCB+9y+pPLk+3bNFtbjSbI5m+RU4hfhQ3iPwfaaLVNNVqPNHIB25BcrWFVTuuB1l14FsFOD3WvAcBwuvfAkkw4TfbUGu1FF2bQS+j8HKCgpLi8idfVns2u583OOo1J5A0XEh6QaKR+bg2y7k2ahNJId4kude/TKyMZAV5lksazokVYPf70Ku1FkfWNBVKKUq5EIJeq3K2sifPY4gV0Tp1DFIOfLsWZuNYoqchGjd8+fHfld7yW3Rc4QAlB/noibYIJxvFl75kuhDwTPFe7yo97X2ktsQ9DtQFpZhhKWz5GKVSDwAgKqj/+yzKN8V9SdDmCNjBbt9D93z51G9JR7S7l1Jbhxqr3kdAMBrbsVrU6bY7GsmlzfzudJf4sYlYP2WvGcKyt0W8dxWw5CjvMdM7wN7btZqtfA7v/M7TED13Llz+N7v/V5UKtmVDLJsz8Drsccewx/90R8lPp+bm0NjSq2hA0uaXKxANvMIrD70vAmoOlsgRFAjLsJM74Vb+ESgw7vRJd2Abw1iu9tEcWlhQuTBAg/w2DknaMtIU3psRBP1xSZZltCovg+vm1JL8payjEou0DCOu5msX7gfTTMqtDnJLIn0DZN7H5JuQJ1bgrNyHvrxMwg4T4Qs1NujAEgJ+Qzm8hID3TRDyc3PQNMNSIJcQKqOF7dYid4XKsgKAB5XNzAmvDmGOygWQeZNp7/hPBQ8IKbjSem1AFmGPGzDB1mc1Uod/qADWAMUFhegzC0RICgr8NsN6CdvhdduIL+4QIRQTWEs+IJieqkKXdUgaRqME6fhCYCAjtNgNIRUqhEuJJWCCIFR4Pvx4tHHz0A2TPYsavgdBXFKbZ6NXylDAkEuJ7Ma3c142RuRA8gbDY0B3Pvg5h1+swdEdUz5TZw4byjcOc0QNEqqRorOu3YU7rYt9m+5UkdhNIyDd1FXUNDPMg/PJ0KtlAcYM3oPhpkQhBXN36Pm4DhRaSagS8eH/wQ5fpEARa2fXd7tebVvQI8Xbw899BDe+MY3Ip/P45577kEQBLj//vvxgQ98AJ/61Kdw9913Tz5Jiu0ZeFWrVayvr+PEifhu4ZFHHmEFJA9s7+b32vD9EdONklQHXjiRiB4ScSdJFzfeE+UKCyoPlvzGBqBqcY0lsWCuyJHgSbcp2lY8YTjNpClL3og2zuMx1jKOF7XJpjF3a3XyQbFrhCAlfHdpBGxJfeF2rEpYU5MWtgZIfwmsPtHK2rgaAzNj1efD5/Ct6L3Ldriw+w78bivGVQKSnBUgvkkQyckutzD73eh++QUucNI9pVkeVmcj0sGiRpMd/OYWeza304ZkmAhq8/DaDXibVxEMOgTQmGX4tkUKQcsKvG6LaJptr8HZIrw9qbmdAOaSEQfVbnObeWvczasIfB8SR8CnY9ztdBC0WjHCt99tQtINQlh3baaVF4yGkM0yAqsPt9NmXKrc8VsBz4G7eZWFsfZaJcFrxDmNWXISMndsmkdWnKeoVpvfiz5PhNA5gET7Hvu/7cZ0DmlfDWwLvjWI9dWs5CDaLyR3MlCiPDC/tRUXjE0xN6XouGj8fSU2LvmIQwlERcjp33QTt1dtw+di3+hFsn/sx34Mb33rW/Hxj3+clQhyXRfvete78KM/+qP4zGc+s6/z7hl4vf3tb8d73/te/Omf/ikkSYLv+/jc5z6Hn/iJn8A73vGOfd3EgQGjRhOjQQ6+58GzbORqJbhh9krgxzVkxMLNlNRJM66AJAF/5lwEpLpXrsNcmosJYAbbcY+KOHHxxP1cNVnjzXeyazWKmZlfCxus704+SLC9ymDQ9Ph86E1Mq4dn7q0KEYDpi2TP7JCCuo0LEahRDB2BvwOnb0FWGrF3K3L5qJ7b0TPk94P1Blu0tGcfI/93R9j84hcT6fBphdbz9SjLTWyLHJewwS8mPCF/nJSKk8HhScs+q4YLttVoY/RMuID1LciX1nBobgleYx3Np1Zg1MsYbOxi5tYTGKw3IClNjFo90oYeETUebDWhGjqcy+uYETYh2sviXozuUxdgNTqYfZmG7a88A/PQDIxmFOKnnr7dp64g8Hyol9dZVmPz/BXIusqeh3LfCvNVGPUKds9fgaKpLJHGuLMD5IHGo5cY4T5fHw8uymeSiRhON/4Os/qdmiZmyr27gVBnlY4NXiusIMitqFz4mh97RGPNYl7rwXaLcZ4004Bvu7E5SvRu81ImkiKT3wgZm2qKV7579fPsGkD2Jqw3hdYXX/tVzBilNAD63HQTTtuRChQ7B1mNL5o99NBDMdAFAKqq4qd+6qfwspe9LOOX2bZn4PWBD3wA73znO7G0tIQgCHDu3Dl4noe3v/3t+A//4T/s+0a+0W33qRU4ugY1JKDGJqfFeEhALOZKJ+RY0WuhkDWf1m93BnD612KaO2Ix6CzNq7TFUNWygRWdmPdqNJNnWisdHe95G2xPF67jzVxK1rPLMkogDvw4AONtWhV63rLI5GnGvyN3YKG/3kD9tpNoX1yLfSfeC03QoF7W3aeuMG0y+pk/7MOolhKJA2neEf4Ysd/yx49b4NPU8IFk/+ZtuN0i5+cAWCvsR2pehx7qeHmWDb1UIJ4o20KuVkT32haKS7MYbjfRWVlH4VAd+bkq3IEFvVpC69IatIKB3aeuYOGlZxI8ndygFfubJsbYjV3k62W0L62hdGvkGaHhKUoe10yDbYhIYew8BltNyLoKJXweKqRJwQWdK5zrK1Dnl2ISFFkcr91Hnkh8JgLx9qUk74la+XjknaPAJr5Bi2dU0gxhvpC9KDHC6w3SzePhV9+Bzso6jHqZSSx4oZYZQOazzso6Fl4aha6ztA9lXUXj8cuo3xaP2uw8eilx7OwdpBanb7sT5SKyMkip8X1eFEWm90yzcauhFAhtW3p8/4Bc/6JZuVzG1atXcebMmdjn165di3Hc92p7Bl6apuEP//AP8fM///N45JFH4Ps+7rrrLtx8c3L3dGDT2+FvuQflgkHc2bKCwOpH9eKEcIYp8EQoF4R394tcDZ7D5fdakFQtxjfh+RpASliO29mncbwmiewlOGRTmlZ9dE/H82Ru0URV7mmseObcno6n7UY5OWnht0mJCKnnHVOzULTeLJGHKN8V7cYkRUENJESVP3NH7FxeIiRdJf+4+V4AwNxLHkDpzpcCiMj1bv04Sq6z5yQBcYdPictAPDTO95UgrTwVUjg8nJm0tArHi9OWSbsE1gBBWD6rsNSAevgElMVT0HoNKFcvoPzSe+E1NiAXiVdJWzpFQqphCKx49yvgbl6FuVhH8aWvTrxLZyE+QRfOXkPe86BU6jC212AurUG99VXRs4a1Neu1JxBYfUiqxnhO7voKJFVDbqZCRGvpPCDL5B3KCrzNq2z8y2deAU/Po3rLCRauzeIopo1JPkQNAKrxxcQx1Cqv+Cb2b8rVCvjMP4Fnqmikrl35HAeQhPc4fzoi7BsPk2vnTtyC2cUjCGyLhfv0hQ4LvcpmCYUnvoLc4WgOE5/N4MLigevAt92YxA65vyQdwrztJeQfqjYxq3Eajlfq3EktDJ0Ww7GgHSV9tnC2Rc4fziXqPjZu+7Zv8CLZ3/md34nv+77vw6/92q/hVa96FSRJwmc/+1n85E/+JL7ru75r3+fdt4DqqVOncOrUqX1f+MDi5g/78CUPgecxQixdIH017qlJcCfCcAU/iYl1yHSO5OzubkOtzsRTv0XxQGGS4WvpqSlcqYlZd/vgVwFITN4TD8/gZInaZtPYXrMxKVeJAoY0wLTfDM9pTFdCkT9+oQEA34M/7EMadBE4EYgW674F4eKhuOR9q/kcSxhgAL+8AN/qJ/hAYpkpIF4PUNRB4kUt+T7tc30vwWcMTcroTxRwxUpo0fdiW2xDYzd2IZdqUOdt+CMLzs4mNFmBvb2FnE7CV36nAb/fgWyW4XVbhHMVnsttbEARxok0ezL2dzAawh90IedN+N0mKQvEbWLoe3I2rsHtW9DKBSaWa29vQS0YcLoDqGKf8clc4fT6gEzGruK7gDOC0+kg8Mg9GlnjMmWzJCZxZGlX8bU2KQiK1YsVgAgribMegWxRjJnvL5RSQQubuwMLWth3nVaLZX7T98nPearQb3gpE0mWoZl5eELiS5pHi7WHqk+Uo+Gfa5xp3H2JySh0DqXjk7Yf1fCj48s/yGp80ezXfu3XIEkS3vGOd8B1Q96kpuEHf/AH8Uu/9Ev7Pu+egVcQBPizP/sz/OM//iO2trYYl4DaX/zFX+z7Zr6RzekN4Xg+AFJzjOd2yD2BxCxwWJw+AV581pjI8apyqfXdq5soATGOl6wJYE5wZ/OhRzMlpDSpALVe2Z9bdri9d17WOLO7e88GUteSWYlZRouJ00k8jfe0V20wIL3mY5qZIxKWcDmyujccEBFVy07oYonkZvre8wOy4NidPnsm7SRZvORhG/bqpQRoE0OJAFA5HYVzEiHWS5GeGR+S5PvSOP0yeTfJnaNG9aV4r201fB+B5zNOZH9tB7KmQqnU4TXWMdxqkucNOV12t8/GiF4eoL/egNm3MNhqQjMNqNtriULTci8+7obXr8DtWzAADNc3Efg+8rsRYKXgtXt1E55lQ2noqIQLfH+9AdXQ2f3o5ahEjlGvEL5aq8c+r5++AsUso3t1k4GELP031UqCWlvITM/SxeM14FhBZy7EJ4aP6XsdcdyvnCA6yvNXaX9xrRE8y4Znu9DDz+zOAJJC3rNmGgg8Pxa608z4tWOljHQVkiwn+mNaeNK3yTNmlaiiNo2OV47jZ4mheVr5gWoi5sIN+GhrO3Z/LyrH62sUavzoRz+KX/3VX8X6+jpuvfVW/Pqv/zpe85rX7P8+9mm6ruNDH/oQfvEXfxGXLl1CEAS46aabUCjsT5eS2p6B14/8yI/gt37rt/C6170OCwsLMWn9vdpnPvMZ/Oqv/ioefvhhrK+v4y//8i/xtre9jX2/ubmJ9773vfjUpz6FVquFb/7mb8aHP/zhWFjz0qVL+Imf+Al89rOfxWg0wpve9CZ8+MMfxsJCtLg1m0285z3vwV//9V8DAN761rfiwx/+MKpppW84e+yxx/DDP/zDePDBBzEzM4N3v/vdeP/738+e+Z3vfCd+//d/P/G7c+fO4YknkvyJLCvccisKZiFKv/c95i1JSCQIGYd5uuvmdt+1mTjJV1s8zv5dBaAdPwudC4Px+jJAMpuMz35T0/R/JslJTKlDJVpxYXlfv0szMaz2QhhNItCOh2G5qxeSxxzZu6dY2ZgOAHo5wjNR+HfU2EDlZWfgbq0SfSc+bCxko7rroUClQYBy5WX3sp02zZp1jRKUuSXIwsJdE8LVAGLaR2VBRoP/jupOAXHPmRj6msZo8We+zxrn7gEA2BcfRSEcG7laCWptDpKqQTJMVF52D+B7MK0+lLklaP0u81w6O5uonTsF9cgp6KuXoB5aht9tJiUZ5PiUqlZnIGsdorlVNqEv3xyFcwH4YRvWXnIbJFmOgcWZl80jcB0U+x1IOYO1i5TLQ5JlqIU8iscUljEsF6sI9Dzqd52LvN8Z4TH9pjsSnwWPxLO0jBOnE8dQi3lsQqAnc173nBCK9kNvj8l5whRBUiGWfc15h7ztNRJupRIbI4t5guTqPCRFiXm7aWiZPReX8RiMhiQrUixjluJFpeE9Xr5inNWXJo/rmLyH4EGTQ08nBcQ0M7oQzoHUm557EUONX4si2X/yJ3+CH/3RH8VHP/pRvPrVr8bHPvYxvPnNb8aTTz6J5eXnbz3YixUKBdx+++3P2/n2DLz+4A/+AH/xF3+Bb/u2b3vOF+/3+7jzzjvxPd/zPfiO7/iO2HdBEOBtb3sbNE3DX/3VX6FcLuP+++/H61//ejz55JMwTRP9fh9veMMbcOedd+LTn/40AOD9738/3vKWt+CBBx5gRU3f/va3Y3V1FZ/85CcBAD/wAz+A7/7u78bf/M3fjL23TqeDb/3Wb8XrXvc6fOlLX8KFCxfwzne+E6Zp4sd//McBAB/60Idi7kbXdXHnnXfiX//rf73ntvD7XfhwIRkmvO01KPVDqRpQwHhZBDkD3PCLUP/6FipHTsXCUbSOGrWkxyvaZRXShAQnAa+U8iTTmJwiQJppE3gYe7Y9no+KfzK+R0q7jJNIyDxvmkZWislOCNb5sjS2hdHlp6BWZ+C141mNUiEO6llh4lA6IhgNGfCnqfVyqQ/XthIlV9LaigcZonmcd8XhvLpZWZfs8wwxS+ox4D0aap2MJd+2IIf3OdxqwjQK8G2LSDM0tyHJMiRVh1L3EVh9+P0uAtcmxbTzgLt6CcPNbZhmiYxZAVzIQq3GwCFlfWRrQIpbDzqxjRSTCtjdxqjVhV4yWWklp0c8XVajDTWfi7xX1gCyqsEdDGNFz3VnBKi50ENCvCR6rTq2nUTJGSBOKQCQANe8xTZrYT/3MuYBCrR5NXxD6B8U+ANcfVLfg9vrQZVlNq7s9VXWNwLHgVypx9pV5LiKIVTi5YzLP6TNNTxviw/Rp5krVGZIM33pWOq5AUA9fJxch1JMQrAohc9FQ4/eixlq/Bp4vO6//3583/d9H971rncBAH79138d/+t//S/85m/+Jn7xF39x//eyB/ve7/3eicdIkoTf+Z3f2df59wy8KpUKTp48OfnAKezNb34z3vzmN6d+98wzz+CBBx7A448/zuo/fvSjH8X8/Dz++I//GO9617vwuc99DisrK3jkkUdQDoU2P/GJT2BmZgaf/vSn8frXvx7nz5/HJz/5STzwwAO4915CGP74xz+O/z97/xokSVaeB8DPOXmtyqrqqr5N9/TM7Mzeb1wXAYslQPZ6QRdj/PlT6BJCICHZlkQswYoQWmSwsEKI0IWQhMJh5BCgMIQU5iNk2UbCIIOEVyygRay5LXtjZ2d2pme6p7qq6155Oef7cfJknTyZlVXVszsMot+IjZ2uyqw8mXkuz3nf533eO++8E4888ghuuumm3Ot/5CMfwWg0woc+9CE4joPbb78djz76KN773vfi3nvvBSEES0tLKfXa//7f/ztarRZ++qd/euFnwaMAPDTBe23Bx1GLxWoDjWrhIunCp67SyXXujuLdsrwSWLedKgqrA62irCA9xCTaUOz+Ng+o46VPjjOtACgFvemLyDSbFULVTT43K25HXiklZ4YQY55J9epZ5kQxP0QHRRCcId2rQqgm6Bl/R+LfYb124nmQFRSMcATW72Q0wPI4MCo4K9JkU/u0+synFSYu2mTkmepxlQTwcOQLztewDzbsI+gMYHouou4ARqOFsHkhkZDobzdRjhjslWVwxhC2dmF41ZT+GACYw/QGJux0EI18WEBSBNtUPCMJqA1C+J1BkrUHiFCdU6/C7w5ADSN5RjwSGlbEoBi1uyhLADLsg7AoVTPQ9KY/pzwvtD7udZ7WtPPlhkP1YurPhsWeVrWcmdRES9qrFNaW3kY27IMzJoBI3D/H7W7CGbNNC6y1k9bqGqe9QiNNyqRk2olcQ3JODrCScx2hFPCLN2HzSL6YlenPUwIxrgkAy/EnPz+IHuG32zoaKHUcB46TzXT3fR9f+tKX8Cu/8iupz++++2587nOfe1bbqFqrNT0DPooi/PVf/zXG4/GVA16/9mu/hne96134wAc+gFJp8aLD89o43nm57mRwG4YB27Zx//3342d/9mcxHo9BCEm9QNd1QSnF/fffj7vuugsPPPAAlpaWEtAFAC996UuxtLSEz33uc1OB1wMPPIBXvOIVqd9+1atehfvuuw+nT5/OCMgCwB//8R/jrrvuwjXXXJP5Tr2vsbKrlB1y9PQ52CUHxKCI/ABmr5/s2PXFZxooUgdk7+k012Tp+slkJ7kIagHoWRyGlKZODhjRweAzZXm8oSIrSuk+SFbjooR8mfrt1MU7HlzIAqaDPCt94ZhmbiDrvU1ATufJbTj1CkbNjuDDFPQT6UXw4hBf59FvJe2txgWNjY1AiFZq/TJv4VFlMPoa71AFGX43X1Rzmo6aUyDsKfmNKV7iCQEwO09uJxIfo2YH3sYKSPMCgk4Ho3YXLoD+hSaIQbH/+DmU1usCFHUHCPsjNFwbg+09DLb3UL/xOCwz7YnMiMoGIUbtLlh0GuHQR+vhp7CuhP3l8f3tpgBmtplkrY2aHbAgTPqUHYcao5EPGj+voDOADKKVBh2Q0Me43UskZpzGdI9xJqEGE9kNaUV91VPKTxmuaIXqidT5mfJdquNQ31SWlLllqMi/RH4o9A3j8T1u9xLeltRWU03XmFM5XsSguf0qyulTbixnMk+t1HnmF/V5Uq2qgB0DQXnfUmrDj98/i9+/fwU5XkJA9eB0Innu8ePpqgD/4T/8B/zar/1a5vhLly4hiqIUVQgAjhw5ggsXFtyEX4b9+Z//ee7nf/EXf4G3v/3tcBwH73znOw/8+wuvAD/yIz+CP/3TP8X6+jpOnjwJS/Nk/MM//MOBG6PazTffjGuuuQb33Xcf3v/+98PzPLz3ve/FhQsXsL0tAMNLX/pSeJ6Ht73tbXj3u98Nzjne9ra3gTGWHHPhwgWsr2dTqtfX1wtf5IULF3Dy5MnUZ7IzXLhwIQO8tre38Vd/9Ve55ZRU+83f/E28613vyny++9CjGNoWgr4PFnFYrglqi4GpC/vp+i9RvBMrrU4m2eYjaU9G9+wEwFiei9ajT4MznnxmuumuoE9c6iKWRyLVj9etqHRJke0/uTP7IMUMe/p1GjcuXllh50uPLHT8uCMmRQmOWc4uWU98mMd4xGcfBGClLxY7VZOI+QH2nzgHvx/AsCic2mTD1N/J36WvvLwNQCwU5+7/BgDgplMxv2LYQfMrT2Q2AHuPpr0XALD23JPJv/V+fOGL30j+rS5IKul4Wr9SC2zrJj0+0Wiy2Tj/mS8m15EgtnuuBR5F2HjZ8zHYaeHc//0mvCMeuts9VGPA34kFZTnj8HsBxu0uRu0Blk4ewfYDX8Ox70/fkx5+vfjgNzHY6eH4P30OzvztN1FeLWP1RZPxI4nT2194XPzd7mEp1m9qPvw0iEFhWBRBpw8r1gTrPX0J9euPIuiPMGrug8gi5nd0QRlD79wuRq0JKJlm5pPbmc90wvk0HTUAOH//ROpFvj8V6HXPpPv55p2C93jhyxNSvu2l1w/bmzzPtReIuqtnPv01LF3TQPOR3WSe4hGDsyQ2xYZloH7jMZz/3IRPmfHcBelxeOpVz8PTf5vm4W597y2Ze9z75mlxDddJtNam2cV/OF34PQBYlckYoUYa0FjxvQd9MddWtgSw7Z1rpr7v+YtTFQ5qnIv/Lud8QOhe1ZTyb3neLtV07jjn/LL45Jdrf/d3f4e3ve1t+PKXv4w3velN+JVf+RU0GgXSIDNsYeD1hje8AV/60pfwkz/5k5dNri8yy7LwsY99DG984xuxvLwMwzBw1113pUKTa2tr+OhHP4qf//mfxx/8wR+AUoof//Efxwtf+EIYykKf10b1Rd522214Ks7Q+b7v+z781V/9Ve55PO5Feb/3oQ99CPV6PZUckGf33Xcf7r333uTvTqeD48ePwzu6iopjJ6EgQmmShadPIsYU5XpLyVzceEHa61ZSFKJ75y5h7XnXppSbdZVp3dQFUL2ONKdRLB54UI/Yoh6nol1nZSu/NlqRzUoh1016k6Q3SM/6BTBzAr8cI6FYcKnSbrPmgTMGb6OUUY9XgRGQzfyklomlU1I/KpY5GfZh1coZr0F1K6eGp9J3dWkCe4qXlSu8rmne3WLP5n58vck4kd4DObbEcSKUR70qKltrWL6pBc4YNjZW4K7UEI58DHdbsKsexu0uKlvi90oGhdOogBg0k5mm63o1bjwOapyDYVmoX7Mk+qDiJZOhwNqxJbCIobzegBHff+3ECqhtYdTch1XzwOIF1/IcEErBgiAGZuJ4WvJAK3WYro3qsbhmpyaMrFres9WBWtGGSs2ipjnjZOlk2mshdbJqxyZjuno8fYz6POWcsfmS6zHcbeHIC08k77135mLSftMrwfJcHHnhycm1NJCvK9cTg6J+ffraedIZcs4glBbSLwBg6ZrZC7FaH1d/1nKOlpnQQewNlBtG6VE2zYNtYr+dVqvVUsBrmq2ursIwjIxTZGdnJ+MFuxL29a9/Hb/yK7+CT3ziE/ipn/op/Nmf/RmOHZuuFTmvLbwafvzjH8f//t//G9/7vd87++DLtDvuuAMPPfQQ9vf34fs+1tbW8JKXvCQl1X/33XfjiSeewKVLl2CaJur1OjY2NhKP1MbGBi5ezIardnd3kxf5l3/5lwhiwrMMn25sbOS+fACZDsA5xwc+8AG87nWvg20Xu6SnxbaZH4IRMbjDWFFbDjS9/IW+OMqFJKUSfi7teleB0XBHlNtQfyccphdR1VsAIAXSyHp2Auo/XAzcvAWV1w9qYUHGz0EU42cB0uw14hD5itj5j5pZj1JlQTV8YP6SQVIjTAVYLAjh1CvonbsEYhBEo8kWVgdPnTOi7MnRmFfSPbuTAHvJMzNWNtA7czFT3SDK8e4V1fpTQa3aF1XPmO7dlRYOp4egpdcxHE2uLUFC98zF5PfbT+2D2gYat3Yxau6je66F6lYD+6cvJsByeKmL3vY+mB/B8iwsndrAqLmPYbODsD/MvBdXI3EPdtvobXdQO9VH5+muGAcKt0hKdfS2O/D7AaJRkCzArcd3QQ2CYBSC+RGI4iEZ7e3D7wwwuDREqSHAkczA6+904feD+BlMJ4SvPT8ret1foL+rY01uBtW5Sh87EmS2vjWdP6Oe3z0r5tvB9p7ot5e6GMYhxXFnjMgXc1JlM0yOk0Y0b5LaFwgloJRmwvftgnuMgjAzD+s2zXusmposoofqJd1D53DJMSDn6OgKerwY52CX4fJa9FzbtnHHHXfgU5/6FP7Vv/pXyeef+tSn8C//5b88cDsWtbNnz+Kd73wnPvzhD+OHf/iH8ZWvfAW33JL1iB7UFgZex48fnwu5PpMmCeyPPfYYHnzwQfz6r/965pjVVbGYffrTn8bOzg5e85rXAADuvPNO7O/v44tf/CJe/GKRUv6FL3wB+/v7eNnLhIJ0HifrzjvvxNvf/nb4vp+AqU9+8pM4evRoJgT5t3/7t3j88cfxxje+8cD3uPfINnzLRORHsCo2wmGo7Ii0tGyW7szSXd/bnhxnV9Iu/AsPPp78e9Qawe9/C+OOUiRbm6goTf8dBZPJQD1PWnm1mO+XV7NwHus+vdh53pHp2ZN7D0+v7zfNioBDnsnnKAGNHuIAJuGrRcxtzJkVGi/qeriue64Fw6II+2GyYAFAbyf9TKQ3QmZUtR+/kIR/5G8S20XQH2f6TF6YV/V06vwh1TpPK31XCT9JAKHb+vOm7zrlOOhfVDcoIoOvtFJJPBe2ZyEcBhhf2sOo2QE1CEbNLljEcekrT2JwaQhvvQzLNTH2I3DG0T2zg+Zjeyhd7KNytJrxiOrJIHLhDoc+iEGw/eDppBYjoHACaw6CGBxI2QhqkNTn8lnwiGFwaQjDpoiCCL2dOLTa2hEVLyIOw5rtFckLo+ue6bzwsbTSyqRPSoA3LAgBtx8Vcg8SKOaZ6pmSANpbr2L/qRZc5bxha4TqpthMcsbQ/Mb51O+qQAsAxvuTTal3xMP+6Sxwz6M1eOtiA2W69kwdwGFrdrahU5v+GztfFvVuw6Fou5zDWUwzCHriGfcWnJMux3j83+Wcv6jde++9eN3rXocXvehFuPPOO/FHf/RHOHPmDP7dv/t3l9GSxeymm24CIQS/9Eu/hJe97GV47LHH8Nhjj2WOkzhjUVsYeP3u7/4ufvmXfxn/+T//5wwAWdR6vR4ef3wCCJ588kk89NBDWF5exokTJ/DRj34Ua2trOHHiBL761a/izW9+M1772tfi7rvvTs754Ac/iFtuuQVra2t44IEH8OY3vxlvectbEtL8Lbfcgle/+tX4uZ/7Obz//e8HIOQkfviHf3gqsR4QEhTvete78IY3vAFvf/vb8dhjj+Hd73433vnOd2ZCjX/8x3+Ml7zkJbj99tun/NpsO/Ki61B1bZiuDbvmob/dTBZv3W2ugwHpkVBd/3qIQHVrj9s9UMtcqAB0OmSUnThn8ZbqNxwv/H6alVZmF55Vben66TwunUj+bJhahw7IF6B0c+o3zrK5syvjcKAq0urUKzC9PXgby+ic3gZVeJl6+ESGcqRm19b33prUG3S2BMeL+yOsveD6jDclr41qOFHf4Q/imopA2iOqhmfZlN19kdeQxd5rNSRfikPWKrCwyiW4KzV4tz8fzvKTsGtljFu9xOMkQURpvY7umYuobK3B7w5QPbEOaplgQZgJT0n9Nmm1k18HjxiWrt9C5/Q2SusNOMcn/FBrTbynaORj6ToTTqOSiIjK8Vw9MYK7UktCUKO9fZQ3VhCNfDA/nBDpb30xaMnDkRc9OjMsBuQXhc5wo4pqtiqgU3ppVM+5ThOQ81ZfSThZUuo96ibHDo8YnHoV3tZq8hvVExOAZrg2GjfS1Dyp90XVcyrve9a8CkzCfpZS/3KazUNlUOtbTtvUyblUPt+y4q0FgNLYB/565qW+Y+1Hf/RH0Ww28R//43/E9vY2br/9dvzlX/5lYdLaM22jkegvv/VbvzX1GEIIopxqHfPYwsDrJ3/yJzEYDHDdddehXC5nyPV7e/MrjT/44IP4/u+f1GuT3KfXv/71+NCHPoTt7W3ce++9uHjxIjY3N/FTP/VTeMc73pH6jUceeQT33Xcf9vb2cPLkSfzqr/4q3vKWt6SO+chHPoJ77rknAWyvec1r8Id/+IeFbVtaWsKnPvUp/OIv/iJe9KIXodFo4N57703xswBgf38fH/vYx/D7v//7c9/3oR3aoR3aoR3a1W6Mi/8u5/yD2C/8wi/gF37hFw5+4cu0PG7uM2kLA6/f+73fe8Yu/spXvjIhrOfZPffcg3vuuafwN97znvfMrJm0vLyMD3/4wwu37znPeQ4++9nPFh6ztLSEwWDxUjS6hYMRwojB8kSNOB4xrDxHZPXo+lOyRpluqvihvlNV+U2VrTV0ntxO8TnW70h7//RU55SAag5fq3rdjN3IATvy3tefnH2QYmYBcT04gPDg8s2L7bLMOAwv9ZkcmvVu8QOIvNLafKFGtiY09pZvnWjtBb0+SusNUNNCeWMltdM+99mHUuevv0ho5hnHRSHjzv/vv2P1uaIfWrHiPl85AS9HSd9vZjddauHi3b97MPWdyjEiivCm+nyCKeEdZ326d0F6jNQ+L712xKBJfUBiUNhVD7RcBa3W4a70UTl+BEF3AL/TR/9CE1svfz4M1waPGMqbKyitNxD2R9h+4Os48arvgaOpv/Nq2hPnba2BGBTmygbqNx5H+9GzSRFsAEAs6VA9cQTjdhflzSMTFXjLFFpdzX14R9fhrogxKEOV4WCEcauLcizrQEseeKmG8noj4QEVyUnMU4aqVRCe37hz4uGXHia1b+keok7s6aoen2SZ21qShPq+e+eEt3vtBTfA8kqgtgkjvh9qmckcZXouzt//FRz93qwSvzTdM9l5cjsV8gWAnS99M3Pe1l13ivsa9kG9YooNPTM9lC6tiLogPXCSN3jkxbcCEJIhwOS90yspJ8F54Ro9z/mHlrWFgdfrX//6Z6Md3/W2csdzUCu7QpSQGihd46P7iEiP1nkXvlbfLFlUFNe/HuKq3jaZJPcfeghr/+RFWFGIwDrRlBW4UPMWQ9MrBlZFSuNFtvVPX7zQ8aRAqLUoE26azaPfo5oEXLKGn14RAACs9aMLt4MpArhFFnkxKFaAjFl2xYRvGwj2uyly7olXvSx1viwmbJXrAMTkL8OOpCQWvai0lAuk7ZXpGXRAtkalugjxKD+kNS2poOhasu+r4aX6S8QCGjz9eCIuHPRHcFeWQJY3Qf0R2FNPgbsM4WiM6s03wttaQ9AdCLDmlRD2R7BXltE7t4vjd90hREw1EVLmpTcloh80Qb0aqEFxzavvBKlPnoMZgwfjzGNgEUPQ6cDZFMAs2L4oxI6DEOO9/aQvBqMBIj+AYYu+Lseus3QU3C6lAOc0AVoAqHzPyzOf+Y9/JfW3XPzzzKxP3oEUTlULwBNtzFdjcKa2T39+rhKKW43vl9ouwlELNIpgxRubaNRMsl+d0jK2XvH8BKAAgLOc3vCocyZnDPUbjyebJGkqkJSmChHPUq6fh7rhqeLjmgacnL+Pxs9VJrOUrhMblP6jAhiGV7JW43epyfKCs+xZ5Xh1Op2EUK8r0Op2pYn3/1hsdH4bdskBtU2hTG2Zc3OB5AKmTiT6JKCWp3DqVUT7zSSjCsjuCDOZNcrfeWrYs2QXyAHU2oFs0d5ZVtSORVXogcVVopMM0xhw5e1wo9bi5HpizgcAjbhIs9rqaOSLbNleT3hfShPu0/hS2kslFywSxuClM0j6knW8DQCg5X2AUkT9XurcPA+KrJsIZDcDqmiv2l9VT8lB+HB5sgDh+SeT65ixHIphibGGYQes206ua1gW+HiYSEkQgybjkvujuHB1F+XNcqaWJNWV68cjlDdWEO48DW9rDcPdPdjtCbFb1hAcNfdhWKJ4s1SLN2yhTi89X+rzKR1Zg99qg9pm4uGjfg+chXNLtwTnnsh8FvbS71QVttVNbZO8puq59DVPvXz/6phgo/QmTi27I/sEjxjsmodwOE42BsSgyX2HvR6C/jDVr/WKEeo1TddB0B9mxmYuRzHerEUjHzzqZb5XbR5e3Xh7UqZJv54s7yTfgb0pEkhGp8V7kmPBv4Ilg75docZvt82ShQKuAMer0Whge3sb6+vrqNfrhbpYB23Id7vxKAKLIoRxJk+RwnGk1fqT+jjqQqgfo06oQX8IHrFUlo4OMPRJQSVSm25WDmPWZE9m1HKcZio4nMeKPFQH8XjNE44psoNIWOQZtebLZLIj8d718jyiJE0/85505XD5/OzdSYhJvoNSJ5aTqK0i6vcKw9lJe+pKQW7t2qo3ZhoozktOUNuZZ7IdKSkKpf/JkHzQH8EJQgRnHgXbbyLoD0XSSRAg7HTgdwYChDEG5odicfdcBP0R7FoZxLIyXhDSStc/DHp90dZY6d/vDlKK8VK53u8MBLhjbEJUH0lZDF+0K5Vo0EHkB6Jd8bOLnn4U1BbeTfk880Bo0tY5NOqMAg9y6p3Jw1TgpXnm5ftX34vuaVerGUivexSDP+aHybPxFe+W9PirnqBsApIy10UMhmtn2pf3rJLapQaduXFTrzHNVHCmP1s5R0uwS22RISv7s3z/4yvs8foOxU6XZVcFx+vTn/40lpfFzvWDH/wgjh8/nhIoBURDz5zJL+p8aLONGAaoYSQTCzWMxCOgL3DTFh3DmwCLSNPQ4cqkkrczUyc8IAvEVLC1aPhN/MDBQo2LWpGHqmgRmWb20mJFurtPifT7JCyUA9yKFsNpNsoJWeaZVRe7ZEMpPmxAhCoHOy2Ua15qAdH7llwIyyvZ7FBaE3MAKzdgrR6BMUwvXHnAS+XFmHrNUUXTaFox7GlWBIgTz1XOb1orqxidO59c06rXYZ24UXjEzu/AcG1Euy1ElpVkvwX9IZx6FYOdFqg5+RzUyHhy2UqaE2jV62CjAcy1LURnn4RhmTBPKdyoS0/Hbfl/AARYqcahRrbdRAiAxkKt3lHBjZJgziy76J29mAAPevxmwLDBgk+k7neq5WyG9PBbNJqeVZw31tTnoc8z0iOlAj69/6nzlAyl+h1xv+HITxYsak+8gLI/q5sIHVSqbeGMwbCthbK6zeW1wjqwAEAX1PzT6RxU1kmN2254Yu4hhhQEFs/GXFDU+XLsu9Xj9WzbXLPdK17xiuTfP/MzP5N4v1RrNpu46667DjlgB7TRXgdWTOLlTIQa5UKmT2DTvFGeMhEW7b6EphBNLV5D7RpMu4Y6SR3Ec2QtMMmppur6zGNF7v5FVegPYvK50zit/iCE/jybN0wqi1v7zcmCSW0T/XO7CPujTO1L/Xfl8yNcfD5s7if9RIbFSOQjbO1mFq48DSenPmmHXk+PKu9K72/J51M4SkXvOY/oPbwovExOo5poyoX9EYJ2G8aFMyL03u4JPlWrBxYxRCMfQX808XgNRuif3xFFqy0TdvNSBrw4+2ndq0G7Db/Th7mygeFuC0F/BBJMAGoYhxWlMKjlleDFvKJRswNqm2B+mKity8/dlRp4xDBu9ZI+V2meAzEMjFuTWo3ljfmzzPNsNKdwrwSjljeZd/T+EHiiH6k1GGVFAWlqOTL1HQf9Uaq/DXdbSTkjmfygfp/hxSrefbtaRuS3MuA9T2x2mvREns0jtqxucPU+LGV6pCSHTIyQz1H2a3+KF/jQnjmblVQn7eUvz/Ik57GFyfXTaib1er1UQetDW8x4xAS3yzZhWGZqEihp2lB6seFk0lOyHadp6ACiuG3v3C6CwWQBqJ1K6+noPC51AczzTlC7+N1TxQOziLUKRDfzrHoiW5dTWvcAwqV65tMsW9IykyrHstl3BymfNC/w4kZ2oRAE710sXbeFcbubmvD1Z7Jym9CYYpbwto7bPdRObojfXBPetNBbgVGtw9CcgXlsLMlTAYCmlqGqvis2xYM1rayQd2y6/pMEWamFWJLYvSrqN8SCw2cvwKrVYJ0UBPLS2kVEIx/lzWUE/RHG7S5qJzdRWm8k4SnOGOxqGd2zF+FtrsA6nlZ/DzZvS/1tVT4rOFq2i9JaA/3tx1PfS49g48YTgsRfLSdjpXHLNWBBiHA4htOYiLXyiCWAxfIUMv3qcUSVNTRu+b+TUOPq9DIr/sVsrUazkt5UFZXgaihjQ/YpNdyn61rtnxbXU8eUXgtSDf91Tl9IrsMjhqA/THmLJVAxXQetR89k5jDV1DnL8lx0z+xkyin1cwra11/yHHG+V82Q4XUrrZ0r/B5IFxbXPcTSI69vmqWu3EE4qpdr361Zja985SsTnDPtHq6IjpfUryKE4B3veAfKZYUYG0X4whe+gOc///kHasShAaW1OsolJyHTBv1hsnAEM7gDcncbKkBKl3xQ3fDjVheltXpqcdb5DnpZCvX8PMmG0lpxGE8l9y9ii5bXyeOfSatft3iR7GlyBtNMhiYl0M3bKR+EN+ZsbMx1HPXFe+wo4NxpjMBi4BD0RynhzLJSw1Ntr6z56G0sJ6CFD4SniJT3ETQvpTwXQL7XSl0s9OevLjzTFpVpnxcla8i+GimbBek98JtN2CtibERBCL/Vhr1/Cdwfwa55GAxGKB9ZxXhvP9lsGF4V7YcfR+3kJoa7LURBiNJaQxDhNaV6eiTdz/3xGPtPnMPK8hraj56Fu7KU8LqASbbqYKcFb3NFSELE3xulMgwnQjgcg5pWQhgP+iOwIEQ08hH5QRLOVon9EmjIzOg8y0tciIbp/l40/lKE/xxvsu7RkTISQ0U4V/d4qQR5CYysahmDC01UTh1PyPg696+03hBSHLEFWhKY2r7S2jJ4xDLty61rGYcXx9vnZmYTFtW1zD8+TTlICo3HEQXZ/6SXTNIAriQAY0gn6hzk/O9EazQaqFareMMb3oDXve51SWWcZ8rmBl5f/vKXAQj099WvfjVVk9C2bTzvec/DW9/61me0cd9N5qytwCm7MNePIWpuw7nm+iRjipbTu0JHAzHEsjPHkVKas+WUJx6w4P9+CrWXfF9q0WDddup4PbuppExqxkp2Zzkra/Gg5PqlWDtqXivK/osOAP7URXIui++zHLc7D3A610/fmU+zqJn1TuQZs8RkrnpJ7aPXwCyfg7GyiUa1keKqGI20h1ACAW6L/rP0wjsm4TQvLjTteLCPbGb4Q3yYfVZqv6C19GaADSZhLPXdqIsk1fpx8nmlnvs5MAEUKb27mGNoLK0kY6Pa78Jc2QCOnIIJIYVQ9SowGuuo3nwHys0LGD35KGh9HdUTXRhLKyjbLohTEjIIoQ9jJQ2Io3IaSFgbx7EEwD55M6pnz6J8063gyxMvoBVLdCz32mD9DowjJxK5C9bvgJgWSqYFc/0YYAo+mHN0C/7F7URSo3wi1vVaPgEYNqzVI4msSfWW+QB7Yto4tY9dO+VApDI6pXSEqcgv6F7u5JjSJJtS73+ETvqBe52oAsAHHZQhvIPyeGq76D0lPEzO6jLKN9yUmvPMDS1ZaKyAfH+E2nM2sh6sHA6X9Ega3dbMDOd5NpdGY+IF1EG7HWvCOdfFyQT9dJjXLAvvNLuCWY3frba9vY0///M/xwc+8AH81m/9Fn7wB38Qb3zjG/HqV786N+K3qM0NvD7zmc8AAH76p38av//7v38oG/EMGxsNwChDtN8EDwKwjvg/AEBbZIiW2ODvigFZunXiUQifTqeKqwO+tNZAtHsumZyB7CSpVyRQJ2T9+uIGZrhcDwi8wvOnFzqeetPJ8KrG0LymaxHNMgkgJHgILuUUc55TGkI1fRKeZq14U7526uZUm/x2Dza2wYIQRmnirQ53nk6dLzNjSakOQABPFgMqevNLAQA9s4bK0krmnergHdAWmlY6RB7uTf5Ww4Lqjt6Z0m+KJDmkQGpKayz+NxsNgBjwEUrF+435bLzfEWLFjAlQGPpwtk4g3H4S1HYx3j4HapmwSh5YtwVz4wSQk4Sgm1lfBo8iOKvLiFo7oIZS2obGMgymyJ6MLp5JQKW8RxaEIM1tEEeA6nBvF1atBmLZCNt7iafEiH+LddtgcV833enCu/njIf0Z9wsWeWXMy1AxD6dzOSVwsY8oZXO0PqMCdT7oJG2gJQ/+9tMTsM8iVG++UZxDKdigi+jihJYgtecm15l4Zwk1QJdWwDUpkNxxGfc/HgYzBVTZHDIx6vPUN8dR/CxYJ5YTiYV2o10BMOWzIVdQOIBz8d/lnP+daLZt40d/9Efxoz/6ozh79iw++MEP4k1vehPG4zFe//rX413vehdMc3HKiLSFz/zgBz944Isd2nSjbhnUdYXXgEXgEU1AhD75kXJ6AqBxxhsfT47TPVYqsKIlD6BGUowXAIgGnHRhQ7UNLMezMQt46b83rxUBqTwr8mrNq4WVPmcx4CUXlzwQkhxTtJhNsznV7u24cLUquEordRBjwj9JiczqIo4KgR4QApJyMZXhx7JJRP/RRF3VxS35PeX5yYU0z1ROoQrCdI9S8lsFIDqMPQkq71AuWrRST7yYUfMSTGqAsBCcUoSDIQgVemf20gp46AuvU2rTQcH9kdgoddswB+3UtVlV41SZFsJuG7ZTQtjrZbyEhIlwEut3EY18UDsArQqvWXT2yYQ4zoMAhrIBMzdOgPU7ghdaF/MBCUbghgkWBhPttQLghRxvrj5Oda9M+maVPhk/I3WM6aK/0jOvfq57kdTgn5yf2GgAo1oHZywRFWVBCEuCIhq/EyW0zHbTGx41rG2WHFimldEQyw2Xxv2XuF5SUWCa6RVG8sxWgaUm+ZN4EOWzjP8vn5cZAzFKnhmJmnnsMKsROH78ON75znfida97Hd74xjfiPe95D37pl34pUXo4iB0csh3aM2rEskEsOwFPxDBAY7e6PvkZK+ndHD8nNJf0Xd5Uo4ZIhVc8VzOBkTKh5oGRWe7vWbvFabYoSClKETcOgv0O6KljBcBAByzPZDvO7Iv7f64KWBiD6blCIypexJOfnfLeB6bgmVihn/DcrBhU7AwjbFXr4NqiPnoqK8jp3PKi5N/jgkXcSAHsiXdPXxylqaGjqaYAA9m/aclDEIdtOWOg1TqYUwW1mknmIPND4UWJIkR9UVDeWFoBOh1Q2xUeaT+EsbIBVk2HykI7TU43EC+YblUUxGYRuDN5btwXG6TB9kXYVQ/MH4HKSgEGFRmVQYhoOIB5VJzHIwY+HoK4ntDsijdCzK2BWa4QzJWSBAVzAsvzXGtju8iDpYIsCebVeUT39kpPq8oN1Mn1KrhRxz4PfMHLcuMEgxFLNpeGa4vnoIA4PYFF5Y4BABRwmrQvh48p22AeOZHxUGWOjR4q/B4Agtbk3qWQ76RNcXvi55oJ1cYeTxL+I0Az3yE2Ho/xsY99DB/4wAfwwAMP4Id+6Ifw8Y9//LJAF3AIvK4a44EPHlAwfwRCKfiwDxK7rvVFRgdicsJRwy8ZVWaV0DvsgwIpj5fKt5HtSZk6qeV5oQomaGDOhTLvvAXDg0U8jEV0e6TRBa8vryEn/oNc83LsxhWxwLDH2slnfNQHj1jSJ1QCdSbcEbe3HMUkZttNFLuNlghLHlm7DqzfzXg+87I1U31V89oZzmQxVEuzpDJop4HUAiAqkxeIoUigJJuYbaVk0FB4rfp7IsQfV4xgQSjGAxMEbBaEIP2OAGSWhajfFTIP/S6sftrDapbShHU26oOHAaLtJwRYsmzQnhJy3Z+M2XG7C6deRXD6YdFWRTiVGDQBWJwxsNEAxAzAI5Yk1Vj9JohbFZ/FRPAibmAekIguzq/FmNLskiWD5hCenBZWBjQaQwziok4HPOolmd+AeHdJqTTbhUE1IKXtDVVivGFbuf2HutkMWjkPhruzMxbnEUu2C2quJhELKRwr539tfo+uIMfruzWr8Ytf/CI++MEP4s/+7M9w6tQpvOENb8B/+2//7bIBl7RD4HW1GGMAY6BuWXi+hv0kbKZ7i/SQjswyVIFXRvhTmWhYEIKMR6nMH73wtu6xSel45QCvIrIzMNmtLWoqb2Mem1ZAHCj2Qk2zRUON8l0k76ydTVFXhW6faZPQJlXKhhowHCe3rIvKswIm7Se+AF7cHyVhQBkWo4MWotZOxhupcseS9hSFftWwi1LgfR7NpKKanPL8VBmi+D0yf5Rc1/JKyYbDqNaFKKftwqoCoIYIDTYa4OMRiGGI50CNJCOOdZoIdzWPYf1Y6k/iemDNC+DDPrgvdMOcsVI3MH4Xpivej+HaidfIcG3x3mwT1LQSjpxZFsT+cL+ZKjJNR10wQmF6bvKuCz3GOaH3jOc7j1aQc2wCvJQNnAqsASTAW9WyshrpZASieFElZ8pqNBD1u6KcVfK8RslYpyUPYWsXVjVfegRIV/+wqmXw0M9sFPKelQzvccZmhvuLMqqTY5SMcDIlCiDnd8ntkoAwAd7DK1gyCN+dWY0vfelLceLECdxzzz244447AAD3339/5rhntVbjoV0BoxSgVOz4WASYFqgVhxbG6YGmZ3pJz4OaIRRpOzR1kmRBCLNmFepJ6UWtSVkRu8yZjGdJky5a8zC57oKip0XhgGh3cR0vc05ulTT5buRClAeyDgpC57G/elxM2v/fm+9IPotauwiGfVDHRdTv5taPTNoWL8YdV3CRzMEoIauPNoXi+t8+tY9XXXsbYKT7yOjB/5P5Pft5E4HB/l9/NPWdqfSxtDSBskmYApaLiq5Lj5eqDJ6EjNa2EJwREgtBfwhv86Q4dtgHtV0QwwDHZLyoY89wHIAaIqw1YjAbFvhz705fnGvZdGEAUArzhhcgal4Aob7IPpTPoHla/LZrI+yPRO3Fo0JLzX/6WwA1EI36gAtYW+K84NwT4EEAc2UD/vYkOYKV6+B2OVVaxzwyuZZuLI/jVU0DIbW2oG7UU0KB8XtSgZMOVGSYLSXjoIE/FfxIWRDbqyXhXzm+TM9NPH2maYkC5spmU58H1KsQ00bQ6UySMGT72u3MPRpKqJHWs5p8qfN3zhd+D2hztxYlkM9OjkEjfnfJXB6DxytJrv9utjNnzuDXf/3Xp35/RXS8Du3ZNeLEaeqUisnIHyXEYkOL9eteBDMeqCq4ynjJlJBN6cbbwbotUGsy8do3viB1vL77U7keebwRnSiq20EFVEc5hO3C6xR43miO92mWmZunFjpePieZhWhq6fJAFkjPY/Py907VBajjHSV7yi3DPHpStGfLTYVv9exXM5bBkCR9o1ZL5EPIUDy/a5crQBtgnfTzlIAhZf325HtNnNO+dlI6h00j3k8JKepjItWOdeEZUsPlcjwQtwz7xueLz5bOgjguwtVrYVgObNMW748xsG4LhmvDuvY2EGqAhwG4PxJhrZUNhE8/Afv65yLSQo0XzTR5fvPoSbDhGhBF4tmeeTQRuQUA5on3ap+4AY5hgCjhLueG54DaLozWDohXS/h49MbnJ21ybDfx4AXVDbRGEdauvzXhShXJvORuabTnrYMT1cwYtAIKEVydNzTwI+cINdN1mtcHAKx4nBhrW2IupEZyHWNtKwF2xHYB9k1YJ26c+ltc5fuZFvCtr2f7K8tyFOX4J44LPi7W9HNueE7h98B8Y5/Ez1D2cckJlc/K6C+mLXg5xnGZWY3PWEuurF0VtRoP7dk3YlggphVPIhGIosmV8TDpBa1l1pnq1dLOURfuaL8JurSSduvru1/N06BytNgBMhQPlMmHrM7PLDPXp6f3F0kQTLNF251oFW2I3Wpept/cSRBqO3TO3RSrufHCqeKYMBBh7NqyCEEq/UddBJNjAUilGupVJ4t3fF7DEYu+7tHIbaMC2HUQkHq20ya6KZ/nZtbK3437aoofKIFaGCSfc38EHgQgwQAkGAvPUnxPMpWf+yMRDgwDwLTAWQTe74AurYAN+yBemtfjuFrprWEfrNuGsXI0OU9mjIoDwsl1WARK6eS5skhwxPwRYNqTsA2LANsFD33xXQxGKI9QsWnqPRRuiPJArZ7dbBWEfdV3o2XiAQDXpCnk+1cTJhwNLKlcKum1oq4XbzaDZAMXNZsTb3gsD6H2CT0qkNKYc9xcz3je5jDVR2d434symfOuoYOwZF7QvezymSr94koZ4xzsMpDX5Zz77bSf+Zmfwe///u+jWl0sq35eOwReV4vxSAAuyxYLBzUmujAF7ngAyUBUB3JG+FMZ8KzThLG2lVqYuOZFy3i81IkrZ8KeRYI/iIYWgIUnGV7g+j1IiG9R0VWZeCBDYbnA7QAZnrp3aZqtXhuT+pV28/EIbNAFsV1BdlflEXQQHYMWeyDOZ8qxRk/UXaytNxA1L2SAltQfUi1SFjhdCFglfk/rH9OybUlBskZy78pvSo8XC/zkWqzbQrh7Dub6NeCdS8l444yBxpuSqLUrwDSLQMo1IVsQb1xYZw+m5mH1ljXg1W0LLbT9SzEh3gIdKSKj8b9Zt5UChYBITCC2C9ZtCy+I8i5obQWsvSP4Z/E5xqAFt7QUv+M4+69g3Jk5Uh16fy/iOKobmeQ4da7Sxq58/4HC29T16dS/E95Y6IN1miC2Cx73J7bfnGRSxsBUnfO4Xrxc4Z4RfyQ2ndqzybvXRJdvDq7nPAKqKeCle3m1TZDU9ZLvXT4bNgeJ/5kyjsvzWn1nwi7gT/7kT/Ce97znEHj9Y7dofw9R4CYp2DKtHcjyo/RMIEl+DpTCyJnC2goA6Dz6LVSDIBU+9LVi1JG2U1aJyqVBduBnUqM1O6jHK89jVGT++aemfldUWHmaFXGJ8kxO/uMnvgEgn+Olh/fmasecodoKjVLXB2IBz2EfIYsQtvdSHC+9/JPkl9jjeJKnBobfEFUrKnEbjNISgvNPIhqnS6jklTJRvRAZEKX0azXTUuUehlN4eUUhsME5AegCpTRTXYJdFiUblM7pbdQA2OM+wkEX4+1zsGo1hL2e2Pwwhmg4mCQl9LsgloX+09uolDxE/igD9K1KevEMe23wwAcbdMD7HURhAEsBXnzYTdrMI4bSepA8p/GFC0m5HKdeTZWh4s1LomRQEMDyxDP2giF4OMaw1U5KfpUKgFeU07f1DVuRZ1F9f0mygwK8MokbNZHxqdaaNbyH09dXNo9SViM4/U0ML+7C8kqgcZbsqLmf1DZ0lpdAq/WUfAVXuG8A4Hcn92F5Jdhr6xicTo9D92S2SoYE48RxZ9IpBts5YsmaOWpGsZH1jgLIAELJc5TrgT+jdNGhXb4929mYh8DrKrFoHCCiQreHWiaikZ/UlNNNn+xlCraxNJn0Ak1AUJ3QSmsNRMNBOlNxWUuD1wa/Wl9QF4EUJzw7AqrhgqnTRWT84c5iIA4AypuLhQVNmZEWZ/jlqfyzA4BQOmd4kkfivVkbk0LEfNARu2YWwawtpRZTvRal6cWLaUwSH59NF7aWZqxsgGgSJH4OSFJDxb1HH0l9V7nxpskf6ntT+t60LNXc6gnymvGCbNRzQDOLkmtZngvq1cBHPfDxSGQrOi54pwOEAcZ7+3CWl8BZhGjkwywbgOnBqVfjkj0rGWkVEqSfJx+PkvcdjccI+yOUFQI+ixfzaOQnYqnqWOKMwfJKIAaFHXvXiCXkEIx+B+FgNMlEHfdBoCUqzCjlpZvuIRsWgInysaOTPyTgUjZzOhAfPC3I52pNz4yHWvHqjc8JaQurVkueAU2yU8Mki5A4k6oCyc/YWsai3pYzZzO1Ev1z2U2bqVRomaXjpcqgTDO1HZnkJilzEguxutcIIBjGY1DOu9YVlJP4bhZQfSZKA02zQ+B1lZh77U1wvTKI7YJ6VeHiltwNLUSje4/y6tnJNOg8s6TSs+IazyzsOslWWazzeFezFOYPHGpc0Io8Q8bph6d+N82KnmOeSQJsUTvMAyjoz+KXJBbzh9RFIvJHcG99McLmBVGrUAHBxre+nr5M/B5JJBYR5/ipTEiKRD5IyUtCXNKq3/cDmebIDEIAqFx/feo7+9rbkn+nQkw5+lC6FXlQ7ZtjOQklFGZsikXM/9rfwbn+ZgAiGYD3O+CBD+K4qHzPy0FKHszNlihTs9SGff1zwbpt+I9+Geax62BuXgvj4lNg+02Ya1sp0jYAgKanVGNtC6TXBut3YXgVWOtHk2Lj4sbF+Sv//IcQ7TdhVOuJ8n7le14OHvqw+l1Qr5qMV/PoKRDTQvD0EzAxSWoQCvwmSjfePgk1FnisjJu+J/MZ+/tPpP72rp1eq9G65SXKfcfzheIpsDVVf9kXasr8oT8/c32yYaBPfFW0s7EGx6uJkGvcdxsnR5M5x2uAPPJgag7T50xX8c7x0EfUvJBKDgCAMEe6RhL2w/P5GxDVGt/3/TOPUcdxpk5q/H6NOMQo+aqSbyiBmdW7cuR6XGbJoO/YWCOAG2+8cSb42ttbPGELOAReV42xXhuMjcHDAMT10iV6ZvCv5ABWOTe6IKoqDhg1L4BW6yk+h8610HWSxjuT8EDp2qx3i+l1zzTTJ8J5bR7ehGpFC/JBxExJUcmUHKOZbNAs4DyI929ePTGS1OubePf4sI+otQvW2hF6UkqbMn0rDjWZm9cmvxMoUgwAQJdk5l87da4KsqTp9RmnfZd6byOlzNAU4FAE5OVvqefKjEA+7COI63+y/aYANL022H4TURjA3DyJ8OJZwa3abyI4/TDYaICg1wdpXgAt1xCcfhjEtBEi+y7NIP3+o+Y2on4P1uoRhJ0OzDAAVyQeZFJL1NoFHw8Fbyv2AvndFohTEhnIJS9JhgkvnBGeOn8kwGUMXsyjp0BsV4AEWeqmgBxvdi9lPtMJ30XhtejCBIwkpXWU56FL2iQF2JVwJtGqH4Rq/UelD0et3SSrFIi9uFJ2obEmyiep/Vrrmyk+lSl4tOG5dKgxL6wqAVcef1G3eY5Rnw8f6d5RQeGQc3dkpEsGyfcc5lA9Du2Zt3e9611YWlqafeAB7BB4XSUWti4hHLuiJMl4BMReKSDrdQl1MCAnqwJia4YnFgapDCT9eDbUNGaU8EUeuJlFXD9IeO2ZtnF7vkLTqjmnbpp9kGIyBCYXjTzvoF7Dbh6jmr7SNBuYYiFzlQXNbKwjOP0wzGPXicWwQPVdLgxhTXi5wk4HViP2vB45CQCIapsAvj7ZicemL7QAUscMHv5q+lrORCV92jOZVmqqSDZEgkmVwyiz5cxj1yXp+dFwAGNlA8axm2A0Whg//CCCM4+Kdxg/BzboAtSAs3UCxHbhf+trINQA80cwXC/JXk2us3Iy9be5cQK034V55Dhg2iKh4MhExsAcCu+Xf/qb4BGDWV+GFUsYBE8/rtywkTwjMuqDDbqiugU1kk0PWz0JbgmRV+kdMY+lvYyptuZ4caSciLTB1x+aej5xlAzEvGQSrZ/5TeEdUOeS0s1aH1LmNqmr5a5sxtm4UXIdv9VK5EkiJko7mQVzUDrjUbTF2UiD0rCT7YNy/Jqbp7LeTc1G3/x/hd8DaZqGXlVA1uCVG2g5hyQbiRgUzyrP9kwaAwe7DLfV5Zz77bYf+7Efw/r6Yln189oh8LpKjAVRzBEQg4pQmvCbqOZN0j03YV94DpyNSUhIX8gMxWMSDoawHDe1c9I5ETpfQeUm5AGvWdl/B/Z4LQjYjAJF8/AAHq9ZnjzdiJZNtmhW5DSb93ccuaalPAdtjPf2QZfaGO/spha+DM9E1vgL45IzIx9GvGhJ5XoE+e8kyFu4lDClXlLFUJJBVMK/2teMKe/MKlgEx5ey7n9XZjV228mCNtxpwdoIQMY9RN02on4PLAhBLROW6yHo9UHHYxiOA25aQL+DqN9Lyi+Zg07GI0dGaXDPum3hjVlaAdtvIhyM4PqKNEvcv8YtIWxbMmgCKoN2G1aNYbjbgj3yE77ReGcXdqMOsAjD3b1Elb027oKH49T9G2sFID/nGeoe0HA0nchtKXOMTMooqu0o37/6fh3N064+T1nmh3WaCJqXQAyaCBr73X6ymTTckSivpHjIdE+kymWkIx9Bf5hqP5DvEU/GP4tmbi5VAv80U5OQdB6t5IcmQCu+ngSNSckv/8qVIeOXGWr8DlWTeFb5XcAh8LpqzPQ8QZJlEYy1LYyefDTJ3NJ395bu/pe8AWUi1cUEVW+EtXYEfDxMEUczPLECr0gef+nZKhk0j/t+3nYYBUr9U21GDUrduCZmmxtqXDBTEsDcshqDuIBuSQljWJsnUWJCroRaZgpk6/XppGdNFn+265Xks6giduuhtwrTtDL3YR/ZzDZI6Ud6nTq1HaonQP1dPQSeHH98ulhm59FvAQBqt96cfCbDONbWdUAMBp12G7RaR3jkJhhWCVZzW2hCVetg+01YFQ/EcWEcOQH/W1+HubaVhO74sA//4naa5wTAL6e5kpbrof/ww1h+8avQ/dv/g+o1RxHVJ6R0GhfMHjU7aNx6Hcxj1yVeFpdFgGnDc9yU5zDsCD0wWvJQLnmJJ2S8egMCxlG67oZk8S4ihOeFcXWle/vi9FqPqriwDB+mNnyal10WxFYBit6HVKDuSJmMxjp44AsuW/yZR43kvo2VDdDdczDVOU8bd6rHOHk2GtdSTzACAOuam5N7mZWZ7Z28pvB70RBlPGi82kgp3g5M3o+pKdgb0XcomvkOssOsxu8SM+qrMLwSeBgg2D4N5/ipZNHXFZYz5Pp4ANOyEpbRQ40KIOFhAHNtK53qr2U/6YW4VdHPojIk04w7xRlB00yqps9/fFabSJo3R6Fb3Wh9QQHXVXF9uSjkZZUdRLl+3uSE5lC892tUonG1DjP+Ddu0U4kQGRHH+Pm1IrFAVKqN5DNWFovX/jjCemM9CdlJG+Ys0pWTE/DjaCBaBRNMIcJTJTxLylNCjY0juZ8DwPIr/ll8kFLmKub80GodMEU2XPm5Lwb1ahhYHpzqOtiwLzYsjMHcPIXI3o6LZUcwllZgHjkOHmtxhbvn4B6tJc9Emnz+0o5tnIB37ByiUgN21QNtrCNylXsioo31G4+DelXBRXPF++GMgRoGzCMnYDTWEq+nvXUNouY26MlbYB45kYCdfT/CKOI4euR4wl+i7vRxl1eOSVeSz81gji3cnoQqJbCxT96SfOZrySzW2pH4vpR+os1TqoBqMueYFuyTtwg+nMxq7HfgxNU2Rt/8EsyVjVQ1g0gXM1WV6ymFfWQz4xXLG2O0GhdFDsdgswRU56AQqHNn/2sPpb4rXXcDAMCK5xx5/8FT4jkmlUzcK8fx+m7NajxUrv8uMXPrWpgVD8S0xC6635rsBrWaePb1z039nfC3XKVWWaRxtFYnxXujMw/DWD0KoopyapMK0TxeqcXazAETzRmgZuNgJEWdRzTLiuQkDqIYb15zy+yDFOO28OyRlkid5/UsECR88UFN5pwIhmEcfjk+ATzMtER5GNOB0VhLLzC6Unm8GPV88Xlj67rkmBYT/bAfROBLGyBePXWu96IcXajGxLtjrGilro5MPARceTeqF2Qa4GSl6f2JuHG/Vs6VmxdWroNbwstHRz3w+iY6Y4Y1w4T7gleCUxMk8sFNBwaLQEoejGM3gZZrIPUjoOEYPBjDYBGM5Q0EWjvO7aVDc8e8OqwTN4I5FXi3Px+0UkfLn7xLzxY8JXNtC9ap28BKS2CW6EPWTS8CCYYiA7m6DiOeB4ylFbCVDQGSWJSMzdY4QmsYYqu2CmspTrgp8K4ay9lNDde8QEWbLHWTk9RqtCeebVubQ2Qigat4WXXPvHXtpOwOa8Wahitb4Ps7MLZuTOoVmkeuQbgtPJvu7S8FGAMpTeYoYym9YTKPKO8lHCNsXsiC0py5g8fJKtzzwOvFc1FJgrQCY/uT8HrtB9LzuLw3dONxUhIg2KmJ35Wab2ZvdkjzmbLv1lDjs22HwOtqMacCuJUJFdFrTKclxjt2aSTm43BF24iZ2qSi1Iczj14L5nggy5PfIYG2i9JCdmqdstzJfGN62rlo2wEkFABQy5l9kGJFC7J90x1Tv5v+g7O1eVTjsQeDLwugqwNgAGDOAfhuc85gBiOZ6xK/D2574JYDGo5B3Imoq2xv8rcs7k3F79ClVbDYW+ma4rOeD/FcdOXvetYLxRWQaWylF1mu8CimtsmaEqLOea7Jb8lMPiWjj8XhPaNzAdyJhYkDH8QfotEwQDpDcH8IlGrghg1u2iDrJ2AwBm6YImRHKVhpCRT7oOvXCLK1Bi6WSxo3ZCDK3JDuRZCVDaBUg2cpkgKx7pd14kZEexdA1+xJn+u3wL0GMOqD9pvJhodEAXD0RpDhPvhgP8kMXHZN2JQAF1pJNiIp8NhGS9lNgbl3JvU3jxMqcs9XNnqZsjbIjl1DlmpqT7ybrFxP/6gix0FjZyKzHNDqMpjlJN/znTMJKGTeCog/ACuQaSFcmd9MB+b68WSTNLmhbDhfjgfiz/YySaBYaJtKsoPWh5kr5i4qN1mSLwopTiuf58E0EQ/t6rFD4HWVGAkGID5JJjDujxLXtbGcniCjvXQYUHqn1LAWLWsAhCuk1QunRaaksmhk0q81bpOa+mx42Qw7bhR3JbIggJn88GLeITqYLpI6Ty21zO/N0CfLHC/J1fJ+SXYXTQ9S0X5OsqfhCs+RnhRA/BFoeUmEq9RajVpolo9FP6nUFQJ+X3iQ7KoAViXLAe30M6CUD7MhVKoCqoLFK1RDjaonYgq3jazMUZNTvc+4z7JhHyQGc1FrF1alDtPvCaDKIuFpdsqiv4ZjoedVXkLY2oFpl0D8IfiwC2IH4reqaWBTtdNjg/RCca5TRrjfhGlaCdgCJgBZhv1JOEo+4wDIuIdwvwnDtBOgG3VbMOJzWK8NxP3a23o+DBLfo+2mfj/P6CjLn9OV64k9va8ayvuXnqHUONfGLg9isrxyDSNIewhTACk+n/hDRM3zoGsnAMSbTNNK6BBGPMbkBlT8oW0ogmySAIk0b6qZ3eRxEn827IDkjOXUsXNwN+lQ0XDTnk8CuPrxHCaLgMdzufSW8Svo8fpuzmp8Nu0QeF0lxm0P3KkAnAvPBKHJhJoBH1rYSRadTZW3UUUaMfHAiAMNsMpqauHkegHpTJkiZQLOWwwPIgo6hy3sKStKCvAWBzx5oopFZh4RApAsJqKTdpb3xBvzSUOopmfLTbOylbM4xDUASakqALQaytPCxlwu4lyp+xkDFToWZaWWqiJUlFmkc/hEKtjSidTTipbPU5i46Hkk3h5V3V7+ThhMvLtS/+rSt4RHNy4nxAMfWD8lPBL9s+D7oo6jDIfyKAJsD+h3QUfpcVZpaITpS+fj3xyD7TfBN69LbQ4k+OExeZvtNxNCPOu2QdyyAKKhn4wxPhqAS6Hecg0s1qiy22dhxpwzCbyLFP5VaoL+7BLL2WTlWQK4FPDDnXS5rAToqPOH1ieYAm5ovAkgnIn5qNdM2iOKg8fHcibmiaGSZemmr50JqZtWhsKhe3/lbwOxd3TGGJynLJrqZctcT4JXeY/ti6lz5Gb4SolRA4ehxmfLDoHXVWIkCkCiANywQIKx4JpILSGNtJnJiosnoFTmoE6uVxW15xi4+jVSJPFhlkRKZ3imcie1eWzRDMACLtSBpB0WvH6ShefFvIw8Iv0BOF68kxW7zLNBWYQyVA8lMa241txYFBpWvZlTPGnMjsGVYU1C2fE77PkMTjjOCE6SPLFNtR9qiQZqJm1qwVfAli4ymVxLDxOpFt8fG01+01A3DrFng/sjAbi8BnhnD6BUgB4WgcVcL0B4PUmsr0erdUTNCzDqR3I3IG6kefUoFZsBV/wGOANXw+GySHZc1olW65OsO9sFsWyw0UB8nvCoRPYzMYy0aGgMpNRsvaJai6SRw2nSE3eK+qrq3ZLzi+I1SnmgMAEMqWxKPftQuR6Pf4tEgWiXyjNViobzMAAcL/0+NG+sOofSkgcY5awXzMv2KRpvHFgYZLQQdZurHq3SD2mYfjdRXOdT8lSTkHlcRUICb2JeOeDFOAe7DPR0Oef+Y7ZD4HWVWNQ8j2hUBpcigYwlQEEPd2VU5hOANvlcP4di4rkJui3Qi0+mJqqMwrgO3FS16RwwQoLpIQ2gWEG7yIpKnuRaAVCaJk1QaAvKSUTxBG/GoCJsZj1e1pwFr1ULChTgVdu8Ps76UjSN2EgIhSIMhDdHDTHvpOvTyXCsuR+3e9hJ+qEZA6/aWgXhxbOJRIM0PSMOSL8/XUw2VZ1BzbBVvDR8Sr9KCPQ5Jhf41IalJ+4h2D4NS4p9hgHC80/CPGYI4MOYGEuUwuheRNTaAQ9FMXkppAqIZ0svPY2o24ZZSr8XomU5sm4bbNBFdO5RsE4T0YUnYahe2bhdrN8FLXmiwoAUSi15wKgvqg2waFKw2fVE/ci4BJR8D0a/CW6VEe03k8oTRZUf7OUsx8vXRT3nrLKgV7oAst4zuXljCphW+V4AUiKlsj9xFoGPh2ITE4kNSNTaTaRjeL8DjIfpah0arUB9Drxah4HsnGfk6ZrF/S8jWp1j8wAvNcEn0uY22StkCFWOCXM1ij8X7ybqz+abHdrVbYfA6yoxNuyDUQ7Wa4MP+6BeFZ1vfBMA4G2tpY4dXNDKvMSChKpOkumlJ0xbSevvfOObqC+tpOQn+o9+M/2bejhTEVQtddLhFQApAcw8k5pki5qanj6P+Y8+NPW7WUVu86z32OOzD1Kscp3InvO/+eDUY8bf+OLC7Zh3AbRiUvzoqUk5FGqZSVHn9sPp+1m961Wpv/2nRaZY6ZY7AYgFa/TIQwCAspQtGbQwePRrmQzSPAFKqzbJYNNDJKPTkzaq4qqy+DEwXcCztD49BNZ6WIBJdQw04kU83NtFuCcW3P0nzqG0Vket2kC0ew5hZz8RUC3d9j0g1ED7859Bab2B9qNnsfKCWxHtnsNwdw9Lm6fQ+9pDqNyq1RrUyOLdx7+J3rldrL3i+3Dpwa/hyA+dSHmCwhgQ7D/0EADAXVlKxor/+B6sahm9sxdhlt3k+UZBCG9jBcPdFgiliOKxd+Ta54AHY+x/5R9y5wTd8qohBJfSBHGaU3khabtaIiqnRJEu6WDFYfhLn/+H5LPl29KcTNVbJ1X0h9/4MsatLkrrjWSe6T09EQKubK2h/NyXYPDVL01+x0j3zXFrAsrKmyuwNk9i/FR6LJRzRJ77Dz0AQIyhjNiwZu1HZ9MSGspmQFfCl9I5cqz7Zx4DMNHvGsQFy3sForbPtEVM/Hc55x9a1g6B11Vi0d5FRCNXhD8YQ9jrZSaPaWa4YrJSFy+rmhbGDJ+eLHLEoAiffiIFRAw7vWPVFzy1LXntsmfoXR1INBSArxVxnmVFytlm4+TC13dX5vM0SZOLjRQmlWVPVLNqWc/QLJvm+clcP3btq4sEMSj4iCFotWBXy6l3HZzWALecKWWohtLMgsPdKsyymwHbeQKUqnfNaKQ3EOTsRAfKUsI8qrK5lRP+ATQ+o2bljWxaf+JFMmhyrl0tw655gkdVqcOIIrB2G4bjIDj3BEANlNYboLYLu1qG32yCUApqGIia2yitLWckSnSCtbO+hmFzX5D0LRPh00/klpFy6lVQyxTK5vGmx/RcEGqAWiacRhVBR3iKjCgCC8Jk3MtnxIkIa5quk3xXtCHK49gZjkYwL6AlqPQDyQEN24pqvpfmWcn7Lq3XJ7+hbShUb6ecM8yyCx4xGI6T9MWl67cSIGrWamCjfmrO0zeO7sqkb1LbBa3Wk2c0OSfr8bJXxPv1m82Z8/HS9XNI39Ds/UnTSwj5HeHxKsXvRI4LfgXRzGGo8dmxQ+B1tVgYAKEBvy0IzKbnJkrP+uRua7W6pDeqfGyimRRqXilT2fl6J7ZAnFJq0lPLDQGArXOT1DTxHD2sWcBq3lqD2RMLyME5Nj53Zup3dM5wXeqcBdXu5WJAqHh+suyJaoT2Fm+HPV879mIBz42jE40sWm2g++lPwa1XYdgW7KXJzj6TtdkTbRP1GAH+1f+L4a7wStixJEOPllFurCclTqS1H/z7THsa3/fK5N96aEd9NipAUEs71U7mC+gWeS/dFfEM1MVX1uEr3fpChBdFH3EaVVjrR4GVLaC1i6DdxrjVBbVM2Csb4GGAaOSDUIrSegN+R5SpKa01RPh2bSuTXRl5GhCLIixdewz2Dc9Hbec8SMlDtD6ph2jEUh39v/4/qBwTwNS5RciejL76ADiLBCizXTjrAlj4zT0462uwgwDRcJAsxNHyCYAzWNVy8jzd66Z7jFk7C7wszcMcFogO956cjDUJSlSgPD6XBhJyDuidm/AV7Wr6PaqbR08WBR+MYC9V4e93k3sdNvdROyX6xnD7IrySl/K46uV7gv5kPiuthKDVC0m/lmY0suFEmTBSvv1U4aYOAC595jOF34trTwBgpIVi5Xxv1sQx5WPi2oOnhSagBI9+zpxyaN9Zdgi8rhKj1SXQcgkONWCsbCDaPQd/Pybe6vXMtB2PnGRcZY2yVjVNJcWF7599Eu41K+mFqZ3mzOi7O3VSs3LAUB7HI9XmA2biTCuSPM2KFpro4nRQNs30siKzzFoTi4vMbqTVbPjhIEKuOp9qmtXdmIekyEmwQRd2tYzSdTdg/6GHUotb7TlpwC2VykkoFqqo20b1uS8EMMlqrLg9RKN+htOy9NznQDeVW6PLeaiet1DZTKilndQae6qVCoR1B2fEMzdLE++N9FyEF8+ksi/5qA80z4GP+rDX1sH8EObyGohTAhsNRNkgrwb/7FmUT55EuLcLFoQg4yGi8RD04unUtXXtKmLZ8Ntt2O1d+J0+rNUjqaxGmTTRuF2U+aHVOsIdAXaIaYOUPHDWBPWqyTwwbncT8EwMiuGO+L1yNxYcpQYMJ+4HRSW3csaxqkYPTEkOia32nIkAqOwLvlK9QPYbaTJktvrcCfB0NDFoRwnFSa6Te+pGjJ96HO6Jk8lm0WntJJ5B79o1sGEf9uYkc9s5rnmTlH5ISx6Y0q/19qkmNyZRc3tm5nb9lusKvweQKaquWjI+4k2unDMrN98KABjHHuIr7fGKDj1ez7gdAq+rxGh9DdQrg/sjEMsGcVy4x+oAsqRN99jx1N9WNZ5UVNK0BtZUL5VchFJlNDSgVTS4D8KVypMamMf4gppXRenzeSVSZhl1FwuRFinnX47NW+tyHCvXq0sEH/ZRPnEcYBG8rbXiNspJX8p4qBmGcaZjz6ignMM5y+OhpfquFspx1tdy/506f8r7TxGpNZNeF7UgsRGLbYZnHp3oI8X3RkseqFdD2G3D3ToqEgLi8UK8Gni/IzyOLIK1cRystQNi2eCBD2P1qHppRLrgKzXEWJJj07RTEh6ywDWxbPjNPbAghB17K5k/AoUYi9F+M/FieVtrAgxe3Aa1zBQHlJsuWBgkXvCiCV73bgFZ4FWUrKLOA7J/OnNwEdX6oJksSrXsTxwK5WEAs1IBH/UniROjQfI7pFwDCYNUMoU+D7Cc7NiMHErB5jHab84sX5Z3jexBk3mVaHVSkz4idRk1YCw3RdZgOhh+pk2UDLoc4PUMNuYfkR0Cr6vEzOUjMCsejKUVELcCWqnD/9bXAGTrFepcAPk9H0wmHksh0wPpjLLxN74I89j1qVp7+iSkm7rzzStEbczK1FswZDg5b0EgUwCuJLl3EdOFSGeZVNOWfBFr82TmmLzsv2fa1IwyurQiOC1LK+I9KAAos5hok79z0wsS8EP8mGNECThjmfCyXlMUAAKFgG1q5WHUdqgbBRXAqX1atSIgLz2yqpdQlidi+83k3OQ42wOxXVgnbxYbH9OG0VgDLVfBwwCsUkc4eEQU2KYGQhbBXNsStQg1uQW9diOhFMSgII4r6i6ubKSqK8i2mEdOgJarADUS7pS1eRLEskGHfZHxGI97Uq6J0mK1vigBFYMX7lTBTTvVz4v6L13Pel+IlgVZNK5N1esoAbsCpPR3JL1HqkSIqY0PVbfPUYBdEPowN09NMiP7neR3jLUt8KWVVCiQapvDjD5ZjuVmZo6nbxx0c258/sxrpCgXmo6a9ITLbMbgScFvtZ/zTwAAo4c+K9o0J9/z0K5eOwReV4mx7j4Yj4UuAx/cHyXEbH335jfTYUE73kX5rXbyGa2lw1nqRDS+cAHWVieVdTTeSfNvIj89UamhoFpO4edZk9JBbVEZiswuUrFZOjx5NtqeowyIYrKodhKiyEnnN/Oe3wwr0mNSzT4mshrHlyZ9hHY6cDbF+2GtnRSJmGoLq/Qo0DjzjvW7yfFmDLhtgyDc2814SfPCwuomQV8Mo1QYspV7XDRFAsS+dnoyh/+kAHtqJq4TCwqPz51B6cbbxXG7wqPihKNJW0IfxHZFaG/UF7IFbhnD3Rac/SZADQQ752GsbMBv7sHWwqe0mh6bw4vbGOy0UO53MNhpwRv1gUARp403PFFzG9F+UxSvj9vCwwDEdkUIKvSTvugsi/OHu3soW1bSN4woAGERokE3WZwH57JyJskzvDnbp3T5iaKweIqcH48tFfwQrc9KoBReULhh2nhVQbfq1QwuXRSgZSTAUXTxTApMEbecCmXr+m8puRJKc8OGeVUq5G92vvHNwgxRAHBmbF4BwFJrv+r0AWsikAsAQUuMCast5ma5HgRXkON1mNX47Ngh8LpKLNw9i7AfhylMGwh9WBUx0PXFX5eKkGFE2puQtqUsQJ4Zro2otZNyjetZjHo2mUp+9ps5YGIGMFiUKyVt0ZI9KGrHgppcADBqL6b9ZcehGulJ0r2TwME0zfJ+J8/61/8zAMDy1iQExgMfxPUQ7Z4DbaynvEg67yrYEUReWwphKqWr2AnBNdkbRmg4TibknBcWVD1q+k5dDTmp74YoMid0iqdCzdLNXDMnyze8JPhCVr2eLPyTDM4IrNsC90cwllYEl8a0wQcdEEoRXDyLyA8RXhT1AYc7LdjH2iLrUMvm5TzLvzRdG9SrgRgUbL8Jqo4FxRM83G3BHvlwTt0kzn3yERCDwu/0YZY6CZezdN0NYN0W/O4AePo8yidPimvbJZAoxODM2YQ/JwnbeaaCXWm610cXb04dq24gtPqC4vfb6RMSb+rkmEjTx1K9ZHLDKdsZnn8ymesGT59PZSry0QDB9unkbx0wqvfKGYO1eTLj5ec5Hi/J+6qcOl5cBQATEnyRVZQN8bR5ICkVF/fjRM8x5j7S8NnZ5Oa25TCr8VmxQ+B1lZi/cxF+yYFZq4FYAfh4lHCS7Ho6LTujsSUFLhWZApnFlRyj7B6NUlnohSlu9PKmRsbXQnwSBIrvciagGSHBg2Y1sillZaYZKfAmqVlY81q5QC8q9/pSzDae6Gd5gea2OUO1thEXyVYXMNsVi0wMJlSAxLXFUXqxZHmX4aNfSziBJAZHNYcKT5nWpjwit6GEozp//7nUd961k8LqahauqfxuNJyiXF+Q2k/jd+Aqa69sG/VqiRgmtUxYjQa4U4GxtJJk8BGDJgsu80dgfojK1hpoyQMPAziNKqLdczC8KvSagHqo0alXYZTK4OMRlq7bAhv2QRVV9aS/DPsglKbGtuHaiafZcG3Ubr4BgAi/EstG/babMDhzdtLXTBfcojBLE9mFjDyEYhnRZGTDg7rWlWrWWrYoepHnWyY9pACTxl3kSh8aXxDvyV5ZhlESIF2CEssrJQk/tLmNqN9N8VIz4r6qjAM10PvGV1E6kuYVqokB0syKmHtpyZvpdZ4mfaJaKvQ7ZUxLCojc7Mpz5Ls0okMw851uh8DrKrHKnXejUvXATRfctEDHffiPCEFAXb5BDwdIXpG64ys/N02cJQqfI3zkQVjXPidVR89//CvpBmneobA/8aY5192aaf9Mj9YBSee2xlWbZdyeHg5YOjLdSzLNFtURSwRfj5wEAJB2juL1UrHmWZ7xnflAY4y7Mrt5+8YXgJgWWLed4uHo2lrB+dOpv6uvfM2ktEq8e7VIDP41YnQqjBKbKkfQuOtfpL4jzsTjZexMsj9VXpExTQKkMEEgDnspi6916jYAwPjrn4cdc83YsC9AC4sEoLr1xaBeDeZmG2R5E+heEiCVMez/3f+B9z2vACkvgdguzNUNBE8/AQza6Wsvp3lTRqmMsNeDzSL47R5q3/8KMGVsyXdhn7wF1okbUxUrnBtfAAexx4MaQlsMgHvrixHtNzF+8hFUn3fHhAAf+eCGjdLNz00KjWfGtWLmbS/LfBZ86VOpv73vecXU83lj4lUlcR+R2bB55twsZDLUPmYdvyH9m0ppM+c2ATy4YSM69yhouQZak6W4BhPP0NKKkP5Q5sWMVpr6zMcjuC+oZzKtnRwgJDdJ4fnTM5OKvJe8qPB7IN3nmZP+PSKLgscl2fxYY8+64QUAgODhLwAAqHHllOujy8xqvJxz/zHbIfC6Soz12mAIktIl3HZh3ygGnP/ol1PHWtfenj45HsBU9V7o2UhdBaxRA2z/UlJcVzRAKyKr7XzVWndFZUim2kGLaC/Iy6LVAsHHAxD86ZyK8dIkH4rGgCsv/Eb1GnHz/O6CArRqWI/7I/F+GQWpr4MGk4k70EJ2EghQX/JxTifJFCQmAzMQkNCfWhImZUq/ypCCSxNvoLl+XDlu8nx0YDit3arJjUiohpcCyVnrpLMvGQMJhiCuJ0JJhIo2dy8hOH8a1tGTiHrtiUipP0TU3BYZdqN+tqZplL7HpHTPoAtiUASnH4ZZmQi8JiWVTAu8I7hZCVmeRaJwdqcJUq4JDxsg3mHow1pZRdTaSQANG3XBDQtRv5vcYziYvkg7fvY7vURXnldMmqrjJj116jLL9TBlPP5ShH0tNKuWEIrizYO5tpVIayRFq8ejZDxzxhCefzIFtvTMXa56vEqeKKukzUl5fEzpbWL+KPH4TrMi6Y3JDyrzQUcrexX3lTB+5pJ/GZ0XXkdzS8hVmL0Fy6hdhjFcXmbiIcUr3w6B11ViPBiD+wZouQZS8sC6rYQjoad9Z9zoMfAyV7O11ybnKFmJcSFedZLVs4t0wKOSsM0cDaVZdcoOKidRtMDmWREnLJMqP9cPLuapS0i98e44L6tsXmkI1ebNruwFsbaRnq1YriPaPQNj5Whh2FJ6V8OqWMRIv5ssaFFFpLN3/Agrm6cyHCF1Ny9NXQyDp9Iq+fZzX57fCMUTME2/TIKr/JuIw6UKV0wW1TY3T02yx0Z9UfS6vgVj2BdjpLoqCoqPRwkJm1bqMMslESZcX4V98hZErR2Yp24D89Iq+V0zHVr2bBf2kU0Ya1uwzz8JYlrgjiJguxy/p35LyFOsbEz4SdQQ4CLOeJThT8IZaLUB0toVYzkeq1F1HT61UVrZAItBi701EdLNWE7hekMb23k8MGn82I3ZDxUgqlcXkKWyrOOT83QOGV1aTf4thW5ZuSpI+CwC92PgwqKJ7ILUTlOup3uzdFAUbp+Gfe1t6bbnKdfHHveo255dN3aOBCNiT949KacrPfBRHFWI70P2Awnuk+LpM7hmz6RFjCO6DOR1Oef+Y7ZD4HW1GKEApSCWBWJaILabkC8zA17fZcceDHVXp080qjeCjfqg5SoMdaLSJw0dcKgaYTppNqdNGTuggOpMmQrdirxaB/C6mWv5HpdpJj0NiQRDnt6VNZ13M83yJDzyLIwnupRQY+iD+KIP8cF+WmpC46DJyV3+jiWLtgOAFXtRIg6jsZbxRvFxlo+l6lzp3DbZJiC9UKpeJDYF0BdxBpOsObVPx7wqc3Uj6SPs4hlYx64Dg3gObL8JEgzBxiOQkgfiCw0vmJYoMh57x8L9ZgJ2mJMG+jLUm/y9simeqVeHsbIB4tVSchKJplh7R3h0GAOti+fKem0xDgddgLEExMp3aDTWRBHvGLxEhgMLPMmGBACrICuRsGw5IWMlvXkLFfpC5vwgx2M2VuYqO73BkO81FRLU2xdmvcHEEslAxHaTjFcZfgXE3MYZK9z8MSX0Tm03t9JGnsizHCtGYx1kpXgTNs8mUb5b0aj085cbF2qLtiZtjBNd5DqwqLbhoV19dgi8rjLj45H4j0WZjJ9pxmKAltI/0oUJ6WRnzvabgu+jpOrP8lip3/OcYrJFpHYAoAcEXmyOFG3VdLK4agcRN100rKp79nL10Q4gazHr/UhzToh7VFP9WbctPDu75wSAUwGJDkbjcIrNY34NNRJOjhF7wRxvC1FrN1tCJee+1D6pg1A1jJVK91eyy3Qh4OSYAoCdhOqUZy8/C86fTgAj90cIL10AXb8OUWtHgJjmBXAWgZoWeL+DqN8BXVpB1NoFGw2EvEMc+ot2z8GsraauPbLSgNDdb4J1WzAaa4hauzCokVKul/8Om9tCbJUaCGO+G6EGeOiLZxO3R5xkgFi2IOSbFsK4zxMCjEKOsvJewoL+a173vMxnGaBV8Jxz300qY1ED2jKRQE3CyPQhpW/G145aOwJ0MIZIfbfy+/ge1Q2hPh+pm1fGIsC0k0zXIpN0DL7fnF2dY465Kjw/yTan+jwqPVtSJDZuMxvE7ZSf9+cQan2GjF9mViM/5Hjl2iHwukos2ruIaBzvEKkBhBOuh76Y6+55GbpSgUWocTNMZSfL/RHCi2dTHIy8+oupa6gK5nkgaoab/aCxflXzZx4rcsPneZ9m2bz6Wck14mejZqtlbMFMzUUsL9nPaKyJ9x34YINu2oOqg1EZtiJiajD9UQI+yfNiAUzOwVmUeZ7hueyO31ZKwugcmhQ4VFXHlTT7aWKRUQGIloR+NdQlry0BECDKZNm1FXDLheHVMH74QVCvhqi1A1ptgA/7II4LNhokKvJRayfxJnPTzmQx+nrGGYsQtNtwltYxvLiLEqVAqT75Pl6Y/PNPiezHMIB1THB5/Me/kuJ8JadI1XYWIdrdSRbsvs8QcQ5H2bAVeUp5Tq1G3eOVV0ZHmpo4kXhnVM+49vsy9Bs0J7UajQK5Cnnf0aifPIeEu9bpJBmH8thQAV56mFP16EvPmd4f8zaPct4yVzZSuod5lpcVqZsqu5Px2mqlgpI5VT7TGKRGV1C5PuLiv8s5/9Cydgi8rhLjUQAeitdBbENk6cQ7SrOcDgfppSkMuVApk42hcZ2Ixn8gtjubs7CIzSCuH1THa1E+1NyCj8/S9eXCIJ83zatreQAAOK8NY45XKrQbh65puQrWa6cWGB3YyO9kxCzab07U9yPhBYtI7EXTs7xy7lUNa+oq9KkNhRpqVH73ICrdet8HJh4PUq0nmwijVI5lNtzUIkerDRDbRbi3C7PkgZgWqO2CLq1MQrGdfVEPVSOHG0SLNSLWY2IMTqMqzleO4YboJ2ZtSYB0LRmBljwwxtKeoTgLU/Kc5GZjEDAhJ0KN5H4Zna5Dl8cbtLbS9QbzCOfS1DC1pDmo80zG+ztI61MB2coJ6qZOXttcEeFhWvKSPmaGQdJPeBggbO/BrE+8+tOuLRpuiP6rZT4GF7J1Va2NmKs56k+toiBNLVE1zVTOY6ZkUTzPM1mhQG6otU3cPCr8h3Z12yHwukqMDwfghIld7H4ThNK0wKRieqadXJzU3a0eImNop//ud9K8rgzHK72IqvpCJM+7xYrDeJmw1JxWRO7NvU5BMWlLL1kzh80b7pUmF3V5nq4MD2Q9AfMYrc8nQWHQWMdLDfFRQ2ThIe4rBWFfWc5oHG9Va9c/F8HphwEAphFrQ5F4gdW9CjkgSQ3PmNqiHl6cLHRqHU2itm9KW4uKrssFSg1HyvCWlB4AgKDTgSMJzLYLhIHIIuy2QGxXaEeFvvDuOe4kvEUN2CduADGMDE9KD61I0MZNW5QPokaK1C7PTziZCmkcMW8p7PVgxQAQAHgQZ1NSQ3ji4vFYtsTvqhuqaXPI1Geo1wfMqecorcgbBmSBhXz/40cfmhxTAGZkAe3g6cfFu1H13cZjkDB+p9U6nFM3I9x5evK7GsdV5QpS24V18pakXyfXy5HJUcOps6ICwaXZVS6IEmbNZAXHbZQba0smtcRziRxLxDoUUP1Ot0PgdZXY8OIOTNeBXfVgNRoYbV8EMcQAdDSvi1oOBgCcdcEzUUMS+m7OP/dU8m/DtRF0Byll74ou9Em14KC6E89ycmfbAXdpvbOLlexRd9O6VWdMnHm2aDam9CKEcRWBvAGmlnaa19w52yFDXTrQ5YEvwoiUphbX3lPpxbMSL+5BTK6PmtsYXBShIdlDGCC8LprHNLcQsbIAZvhyaq1GpbwPVX43mJI6XyoA0ZLro4qvUiWMI8Ewj06D+yPQcQ+cMdBqHWzYh9FYh7/9NPxuH+UjqzDWtkSINgb1zB8hOvMY7BM3ZDxetsauJyUP1B8BnIF6NXQffQKpXLZ4Yeqf30F5Y0V426S3VIrUtloTEVx5j8N+EpKVoNUgAngTy5okEBQUbs7IPQCAltVYuPFQQVr8fFlXTZhI90H5XoLOpE0ZD7XSJ6SHmlYbiJrbKbpENHwq6TMGYlV7dZOjAUiiPDtiu6LouAY88+41xZudRy5ihqml2dxj6dqxkh4y3BGbTXm/0gstS1z5V7Rk0GFW47Nhh8DrKjGzXIJVcibZUlEEOy4NpHtxdHCRcCHUArVaaE91g0fjMUzPhd2oT35Dr6umebVUj1feLnrerLtFrXI8Rx27wIqy3QaPPbLw9V2l9M48Jr0+1koMhnMma2djuuzHVFtQgywFePpdEMMAZwxBu53qPyVdmV/Waoz/DC5dROX668UfcaiRUrGgZzSsZiQvDL/1WOpvtfRVSgVdWbDNKdzBoqQHCWytqiJWGauAR/vNSSahQcHHQ5BwDN7vIGztwvCqYPtNWCurQsF+PAZ2z2W8e9QywXptmJrHS3qdkuv2u4KbFIzB+h1R7y9SvXviPbkrS4hGPmhzOxlL43NnYFU80U6ldFM4GMGqeGD+CDxiiao7ADgUiIb9RNXdakwfD3mCoDqPKdwr0PGqKQr0MtNOrQOqbeZGcQ1Ntf/pfShUypFJJXqzvgzOmACRyrtLjhv2heZZCkilQVUqeSMIhKjtkXSYMy+sKr1ObL85kyJQVE1BmnN0Amz15AQ5fkxXZDEmFRbi+VZ+f5AkoUO7uuwQeF0lZi0twSq78Jt74EEAahhJiQidS2Nq2WP9pwUnoHLD9cln+m42GiuilI4jwidqlg7V6j/q6dazOFyzMn4OuFs8aKmhPIsO4HXLSzsvMnmf0lOWV+tuVgZors1ZhLxmx5OzQlBnvTb8ZhNWxYPf6YMonk7vxLHU+bJ0z5Ip+tgoCCdp+3Gqv1OisbxCuk1Fdf3yTIIDAAj7E8+bWvpl+mI2PVwrPbkqsJPghI/6k9qTfghz/Ri46YhyQBGD32zCcG3Q8QjUMsEZExuVkpeAEmNpRYTAQz+TyamT602IQt8k8sGCEPbKMuhIeU5x2FHWZAQAc8tP2heNx+ARA+u2krHgX3gcVr0OankId3cwbguvsGsQBBxggxHC2CuigwvVcrMS9Q1XUZVjZXNHINocKKXKrJxyWUCxV1r1gI3Piz5hBL4ApXY/SQZhfghqx5xYxxUAV908Zsj1aaoEC8Js6bUg68qXm17ujzJ8NN3Y2dk6gabaLr1o/J7wBMp+K7mKEtTK+6XhQUIOB7PDUOOzY99W4PXZz34Wv/3bv40vfelL2N7exp//+Z/jta99bfL9xYsX8ba3vQ2f/OQn0W638fKXvxzve9/7cMMNkzITTzzxBN761rfi/vvvx3g8xqtf/Wq8733vw5Ejkx10q9XCPffcg//xP/4HAOA1r3kN3ve+96Ferxe276tf/Sre9KY34Ytf/CKWl5fxb//tv8U73vEOkJgc+zd/8zf4/u///sx5Dz/8MG6+ebFSN7RUBi2VYHoDUK8KczhI+DZEI9frS5FTF2EtNSOJ6bsiU9nxOSVgPExxDIy1dGhyFpDKtL+cP8lK4wcklM8rHCqtaFdqLHhPwGxeR8bMtLRHEdl/EZs35DkMxURXV5u0eRJ8KMRC3ZVx2lugaQJZ68LD5xNlapCgOyaC+xFHmRpgGa24LLlYBZk6iFLrf+phn+TSU95nkVBuKV5QVZK9fH7GykbCTbIBELcMbrkgbkV4Vob9ZNyx/ZH4DWqAlqtCgmUoNPCC3YswN0+B6+rn2jpjLK0AoQ/mVpPfZ0pWIxmLsUvdMuwag1lfTgjYzuoySMkT786rJsDLXdkFrTZASx6swE+AjB9xcACleh1mOa5AoJfOmWF6qR0ee6nyLLUpkd6aWvE8ABRLjKTI+XF/oSUPFmIPWgwMTcYmc5RpCxCthEl1fpna84hTAva7mU1VHvCSfcFcWpnp8VKzLKeaqqBvpzezhifOT6pHxLxOyQmVmoaGcZjV+J1u31bg1e/38bznPQ8//dM/jX/9r/916jvOOV772tfCsiz8xV/8BWq1Gt773vfirrvuwje+8Q14nod+v4+7774bz3ve8/DpT38aAPCOd7wD/+Jf/At8/vOfB40ng5/4iZ/A008/jU984hMAgH/zb/4NXve61+F//s//ObVtnU4H//yf/3N8//d/P/7+7/8ejz76KN7whjfA8zz80i/9UurYRx55BDVlwllbUHQTAKL9PUSBK3Z23TZ4xJIdn7Oe5kqoPAEACEdid2tdnC69oPK/wk4HhmunJxr93AIPVx4oY2576vHA4p4jac8Er0LasLk/+yDN3EXJ9fECX6TpM68ml2rzev4SipEqQtptY7y3j1JjPfGqSHN1UUi50MQk/V6nDzu+FwkyKBH3oPeDWYkQo4Lnr/IN1VAKNfI5Sm4BiB63hCeHKlwiNy4Cz7rtJOw03G3B3OwC1ATr7oEP+/D3u7CpAVCKaOSD0D6IaYOblvB+9Xviv5EvCmXf9OLUtXUB1ai5LTLoRsIjw8IgFZ6U9fnYaIBxW5QVkn0nGg5gWhb8VhumP4ItPV6dPgxnB8TcQtBuJ96tgHFQiPEtx7ZRkMmbJ3Wi9035LPPMqmRDcynPuuZRku9ffb/6xkQN98lrO5uA39yDYxjJvBR0OqlC4EF/CEvVGtTmDZXvZzCGcbsLZz19/2oflGYr4b5ZtRpVb980s5V+m8lOlDw5GRaPNwiSKycLpl9JjtehPTv2bQVeP/ADP4Af+IEfyP3usccew+c//3l87Wtfw223idIO/+k//Sesr6/jT//0T/GzP/uz+Lu/+zucPn0aX/7ylxPg88EPfhDLy8v49Kc/jbvuugsPP/wwPvGJT+Dzn/88XvKSlwAA/st/+S+488478cgjj+Cmm27Kvf5HPvIRjEYjfOhDH4LjOLj99tvx6KOP4r3vfS/uvffexOsFAOvr6zO9Z7PMXD0K0yshfOoJQRIdDCehEp2v5aV3XpGf9RYU6U8Zrg1i2jC0mnWqZcDVLI7RjO+LSL5FNmuy061IIqN2qjhUkPt7CwK/JNQoSwblgJGDSGvMqydmxiu/6inipgXDtRE1t0ENI+V50sPYCaE5/ru03piEn+KwmEmJEH/UCcx5Kv2Kp07n66mhRlkLMXP+FD5LUUo9jeUVrJrCRZSgsVpPSNSm6wiPXFxfMRqPBXfLF54uq+KBs0jU6XNcRN02qGWKqhIGFRwrWjyFcn8EFgZgpSVE47GQsFDOUTOECaXgEZuEqYNQeNis9DWoBCAsEtnP8f16Fk3IzDJEWOQpJTkbAN2TWN4sUL7Pkf2gaqhSe3fy/asbPp1XpfLC5LVZ/Nz1MZD0Y9MSUh1KqFv3oKohU+aP4G2tZby9pbXs5ibhVTmlpPD4M2V6xnPC6dLet5wvqBVzLMPDrMbvdLtqOV7jeOfkugpPwzBg2zbuv/9+/OzP/izG4zEIIXCcSQkW13VBKcX999+Pu+66Cw888ACWlpYS0AUAL33pS7G0tITPfe5zU4HXAw88gFe84hWp337Vq16F++67D6dPn8apU6eSz1/wghdgNBrh1ltvxb//9/8+N/yo3tdY2RV24l0SKZVBSmV4L/xegEVCLTseiLqooa72XIrJlyrB3dw8lTpGDZn5j38Fzo3PTyk9z9S40orM6mbqbdRsmgL5LCsKKS16nSBH4HOWTSvSPM1kDUHptSClPE2pxZ/FvNpfg1jHiygLGIEgr9vXPxfk619IicyqdfOAicRAPxS/U9o8OanVaJWSa1S8WgYUWceuR8YUkKFzZAylHxfJQ+SZXlMwfc1JiEqaDNfTaiORFSHOGRhLK/DdGoz6ETinbk64VMaxGxGdf1wkJpgWiGXDufkO+N/6OqhXE4Keo36iwyUt1LK4zK3rgItnwW0P5vIajKUVjI3JnOLEhcetzZMwG30Q1wOPa1U6m1uiOLY/EqHGeOF31ldBvRqIV4Nz/FQSjt8bM1ACLB8/NQlXFZTcUnmAk+eUrh9YNK7VeUnWKFV5fno9TV3JHgBMrc+oSRNquJ5snxYaYzLU2G2n7pGPR2nvWQEnkrMIbL+ZCavmCaRaR0/G99WdORe5102X3pBmrivhUE1+JXlecdulQK38PHgqlnUxr1yokTEOdhmZiZdz7j9mu2qB180334xrrrkG9913H97//vfD8zy8973vxYULF7C9LQbwS1/6Unieh7e97W1497vfDc453va2t4Exlhxz4cIFrK9neQ7r6+u4cGF6GOnChQs4efJk6jPJG7tw4QJOnTqFzc1N/NEf/RHuuOMOjMdj/Nf/+l/xz/7ZP8Pf/M3f4OUvzy8A/Ju/+Zt417velfncqC3DqHjJQk2CWgKkiFaWRN95yQnIWJsQpZmrCagOJ2Ee+9rbwBlLLc5WXQMYWgFdrv6dU1w3Ki1lPkv9nHfAyaK/N/sY9Tqr0xdk8wBaYsbKYlmNspA0Ndvi75znQu18707h77rFz1ea9MPyarrPWMdvAKsfhXn0VJpHoxP9j5xM/WmsbAAr4pnKPsA4wOpHk4w8adTK3pd6/5ni6ipwU4HXPBmcR05N/cqKz1dBh1zkeHUVJH42tlcFb2xhHDIY1TUYJymM/R3w+gZ48xyMxrpYzJfWQYYdRLUNWCcZiF0CH+yD2C4CO53hOwzSC83K+jWwTBucM5hHjoPYLiyljgOP6/BZx64DTAfMLoGZ4p3YN90BbjqifmRpaeJx9Ecw17bA3CrooD1R5afAOOSwTt2WHKsDQ9VITl1EpvVXU4rn5p1fn3gw5W+p9Tp5LT2nyLeqvhdd+d9QxgZx47G/ehy244KtXQsSxAT0lQAYiQ2MfB9sddJWGqQ97Or8RagJw3wSZDm9ETBzkl6iJTH+SXkws/qGefK2GUcAXK3TqkmRJPp1PfE+ZdUHHo8r+SatKRIrz4axy+R4HeKufLtqgZdlWfjYxz6GN77xjVheXoZhGLjrrrtSocm1tTV89KMfxc///M/jD/7gD0ApxY//+I/jhS98IQxlV09y1KQ558nnt912G556Suhcfd/3fR/+6q/+Kvc8KY4oP7/ppptSHrM777wTZ8+exe/8zu9MBV733Xcf7r333uTvTqeD48ePA5UVoFoBs1yQyAcMG7wuBj1z0kCLaJOVVMIO1UVAB05qSKS6Djpog7cmwJOtXJM+Xg+HRQofLCdUJheQqXZAlzNdEHixAoByEG6VDmBnmXxuzBMq2tzIDrHoAEWyuTmfx+ub58WCc6yuvCNCwU88FyAU5NoXpk/Y/VbqT+YJr8H5nnjfN4YBeFwIuhOvC3ujEGuul+1jdtYTOi2sBgDs5PMn3wUKP0fNlgvy+Sw6QFDNiOWRmHJtHr9HMu4n/6aECtI7JQChiGqbQFWACWK64Ge/Dpx8PphTgckYuF1CuPUc0FEHpHURbO1aMA14mVr4ijkV0NUthNUjsNZOgDfP4eJwMhbqbsxTqqyCmw64U0kW5NAugZsu6KAFrtwvufaFCB3x/LnpAnUBaP2IwzEJwsaxhDpAoumexKiW9WYZ3bRuHi0owRU2FB0qCfBUOYlBOswuZ1PZxwAgqqTBmTreaEu0JaofA7VK4JabjCvi90HKdQAAt8sgzc+n5qCwkt54pAp6EwrKHkdUS4e+yYVsViI7IZ47pUZ685lnc8g8kILNHyuLfm/GG5pwWXi6aAww+VGx1vDuwaIHh3b12FULvADgjjvuwEMPPYT9/X34vo+1tTW85CUvwYte9KLkmLvvvhtPPPEELl26BNM0Ua/XsbGxkYQCNzY2cPFiVoRzd3c38WD95V/+JYKYM1IqlZLzdI/Yzo4Ix6kZk7q99KUvxYc//OGp3zuOkwpfSouq64hqVYAzcFOAr2Ti8tMDmmi7OQk21IlOndwApCZuo/U0oqUNEGWSI2NNU0Zb74gCvCIvh/cxg+tyUIvqBSGlHOPWdIBibl678PV5sBhY4/HCzWM5hjzvIIkOoOJf4LlQ7diSWCiNgVL+hIUI1m8UbTF8UGURYmv5z2TJiRfcjWuTZyqlKvoBBR11Mwurv5nd8VsXJ9ppfCN9La56yFRgr4K1YAphv8jDGgMXqnh5hzWxiSlf+hZC2e85Ax3uw45CUL8vQIBhgUQBeGkJ9NgtiEpLArwMO+CN48IDNe4Cm9eD+j0YqjQEANtIZ7aRcATiD2HunQYJR2BbN6PuTsCMG4l3EVXWQMc9IPJhdEXyTFRdS5TtiT9IwAOzPXFvLIznCjF3rVZNRJyDjMaJp8voT9c765az81i9m6YcRIoXSTf1/fF488ep0k91b9aGUK5PgWbN6xOVJ2V/qOwvnIGOuwhdpUSR6SbgMnJrsI7ekN0sqqbPT0dOZjYzdOsG6CaTH4zOBXCjmJspgVKhKb/BtI2KfL9hXUQuZP+N4jlFguI8T+WzZVc7x+s3fuM38PGPfxwPPfQQbNtGu93OHHPmzBn84i/+Ij796U+jVCrhJ37iJ/A7v/M7sO2DlbF7JuyqBl7SlpbEQH3sscfw4IMP4td//dczx6yuih3Opz/9aezs7OA1r3kNAOGF2t/fxxe/+EW8+MUiA+kLX/gC9vf38bKXvQwAcM0112R+784778Tb3/52+L6fvKBPfvKTOHr0aCYEqdqXv/xlbG4uTuKmgz1QQ1mQDRvYEV44nQCtE8jNpXhCVjxj5qW0J0Pd3bLdMyClpZQ7now193XB7s64lN0ZzhL1y/OGzGN8wbBc4aR0gAmL8FkBhrQlHgOpzxRmgRuzppdxmdoOf77khCdbYjG5WZEHIeEYZussuGmL3bPiBZEeBGlysu+VRRs3R91k8e/FoGIQcICzDABXQZa0qD4J1Rr76Y2M2Zpk0qr9L7XADfMzxSy9vyrGOsJLqpaJceLFnnkrMHcfF//eb4KsHkOvehxVzmBd+ha45YD4Q0S1DRB/AGvnMQEOTAvm3hlwywHffgJ07QRACJiT9oju99KSBCv+UDyr+jGQ/Ysg4QjN4eSYtVjY2Dv//0SmqGkhXBbzkbl3BqAm+GBfhF9jD4853BchPa8hfjPmQp0zxBi/tvnURLm+Nl1Oojq6lPlM90DRUf7zBwCyd1r5g6b/j5y+H3sDjZai2aaHI5XzpaeHhKfB97ZhjfsTsDfsTGpuDltAGMAcT/qTnvRAfLUwvCjbRJqn08ewHDmJbcGrYpXlQm86AJjnv174PQDwigIs9e/iOTLxUsb3YHRiblwzfm5XMNQYcY7oMsDT5Zw7j/m+jx/5kR/BnXfeiT/+4z/OXj+K8EM/9ENYW1vD/fffj2azide//vXgnON973vfs9q2Ivu2Aq9er4fHH388+fvJJ5/EQw89hOXlZZw4cQIf/ehHsba2hhMnTuCrX/0q3vzmN+O1r30t7r777uScD37wg7jllluwtraGBx54AG9+85vxlre8JQkB3nLLLXj1q1+Nn/u5n8P73/9+AEJO4od/+IenEusBIUHxrne9C294wxvw9re/HY899hje/e53453vfGcSavy93/s9nDx5Erfddht838eHP/xhfOxjH8PHPvaxhZ8F4QyEM7HosBDgLOErZSYRr576W4ZU1B0cN7Xix4qXg2ycAgatNLjSrsE0wKPWz+NOFkSxGaGwmaHIKVa0Y1/YFlR/B7Jh3lmme7Pyst7yJviZv6t4b4osiLLhI07NSZjHraauT7XflaBHLfYs70FOoaOQgVWW0l4qICNaKU5i+f8GwJx68m+iLtjqceXJMalzC+RJSD0WmlTuk8ebDGZXknAWJRRRaQkGJeCEgsnQHgRYJeFYvH9CQYJxws8xVo6KupeWi7GGy6nGamCOJ+6bRUC5DtLbQ6lyMvneio/npgv4IwGEpUioWxXzQqkKbpcSkEeCIVBugBsWDNlGAI5JhIBruZ68Y1bgida93Ek7UjdQkEGXw/tUwZbuISJhnHDiKl5BrU9M8yrRpVUBeuPrULuUnMsNGyQMUmON6+F8NWTKmKhWoFde8LPjksmNA6EzN2Fkjk1iYRasvLd4TIbxZlk+ZclJI1Zv5nW+W0zypT/0oQ/lfv/JT34S3/jGN3D27FkcPSre5e/+7u/iDW94A37jN34jJQN1Je3bCrwefPDBVAag5D69/vWvx4c+9CFsb2/j3nvvxcWLF7G5uYmf+qmfwjve8Y7UbzzyyCO47777sLe3h5MnT+JXf/VX8Za3vCV1zEc+8hHcc889CWB7zWtegz/8wz8sbNvS0hI+9alP4Rd/8Rfxohe9CI1GA/fee2+Kn+X7Pt761rfi3LlzKJVKuO222/Dxj38cP/iDP7jwsyDjAYhNADNKdmeJN0KfnHQgJgvtKsfpnh+V68GpCRL5qUxGsqWBUH2SUSeuHG8YHRdPBov5jRSb4vGYagUcimhOSQbV6NqCwq8SsHSFN4FoJHfgYKGCWbIF0ipSzdufAKokHMWiDGjW9caIdrvR3gXQaqwTVRGhFMsgoMP9bD/M80KVJuEmvpfOaiNKW9RFTeV16RuA5JiiQt95oVx5vD05l48HIE4fPYuhRCnouA/OGci4D+IPEe6chbERk/gJBfFjFXNqCq/x1k0ZoKUr15PQBzhPuJu6JEKsdwtr0Baeq2AMlOMFOPaW8aHQGqNMvFNuuQALQf2B8HzFIb1BwOBHXICfOSod5D1D3TPNLj2dOSY5X58zkH538nlJi/ZiuQQ121SXaFDalBxfbQCWI/qX/F7xsJPIB7v0dCpLMeXhAtLK9ZQiau1mMj6jnMoLNAZw3LDB7BkJLnOMazqcPhNKWgMfibmUVGOeXjyupPd/VsjzmbRnKquxo2mcTaPcPNP2wAMP4Pbbb09AFyDUCcbjMb70pS8VKhA8m/ZtBV6vfOUrE8J6nt1zzz245557Cn/jPe95D97znvcUHrO8vFzIu5pmz3nOc/DZz3526ve//Mu/jF/+5V9e+HdzjUdisuRMEGz7LVA54KYAreTUmM+Rcu0XhAqJ3xdq3IooJ+lpYQfNO5QqwO2meSwAZhJP80Ju89iiwqtFelcHkbQwlhfjY0mpiEQjKG/hmlJKpdjmA2uDWONH5dEY3V1waoK3LoDU19PvVuPFyPeckkWIwayUqmgNAxBzlOUR5iwIqWO05AZDWZhT3geFzzYVYI2mv0teiis+qJuB+JbpqDPJhnPKIOM+SksEZOjHnikWk9YdkdFIjcRbHLV2RIhx1AUxbZBxH61RGuBk8ng4B/H7AiQFYxDHTcRpAcCKK84T243BXX8CWNjkOz7sTEo3SVA1FuNYhqEdj8AgBDwMknFTOO5yko50D2jRhikP4KayKPW5XYIfpc/pZabUTMnkZ8ZDwPGAcX9St9ayU54zEuuaJb9btMmSFRY0cEpyPOLJZsJBdjOqt3MOSRT1GlzLApabYy7fs4xSxO9J9gsd0D6bFuEylevj/x8/ni4I/h/+w3/Ar/3arx38h+e0CxcuZDjZjUYDtm0Xqho82/YdwfH6bjDW74IRBuIEADXA+h1QTwCjDGlUH9+ycGwBz0ruogDh6mf7l8AGk0nPOKFp0GiTCHEmv52bUTaDMH5Qjle0vZj2VpE4aZGa/DRbNKuRSI0uVjBJz1l3MWVzhkmXXOnx0nbvg7b4nLMUAVrXb5NeAzsWYmX7zWSxqMeEe79ig4c26EgLU7azWnCGwiHTdZKMxgQ8kZICRlUvZ2kKSNXC7aoReb4KAuQCWqolv8n7LaBch0EJWKkOundW9HvLARn3EDYvwGARUKpONj+DNlCuIzr/JIy142i46ffi99OrFCstgXIGEvkgloPwwmnwrexKFu6eg1Gtg7jeBNCwSNwDBVAqTT7nTHDRAgoYFlic/GAbFEAsdyG9JgXekbyQt04JKCpGniqCndM/E5AkfysWE+aKVzpTaqyvJAhJmQxV/y0eV6zbnnCkBvuI9ptpD5YuoKoK1Vq2aIs2X7IcHS8pr0LCIANKdcs9XzPiTvidxNJAcQyW5X0n3nL5TKrxJqYg0/RqtbNnz6bCekXerl/7tV/LlVxS7e///u9TSXZFNkvV4Nthh8DrKjFabYBWK2DtXZCVLZB+J9G40d3mTOO9JNlOCjFWJ9erCuxs+TjIftrDxey0F4tXtBCPzufRjMwIhan16RYx4wC8rGm2qEgngELPYe7hMdFZerzyxGb1BWkeU8Vxi6w1EPfIjiieJmoAbg1G9yKYXUp5kTK7/BhojuIYGGcs0frqxR6vpztjnDp6LOPltHN24qPqhHNG9QLMShg2BcydSV/U9ZjmshhwqSBCcsii0lIyngiAqHEMe8MQm544ltWPigw26Z3zGoLbZlqg1Qb40kayyWDlBi5oZPr2KP33NTYDqDHxBlIjFY4cxotoxRUafpyaSbYbxSVBCwiGgGUgXBZio7R7Edz2wKtHYDZPJ1IcA5OhM45wDWdJPwyV5AbdaI7XcKZkgnpsXQFE0hukcvU6aSAuw32mKnTqadI4qkeIiU0XrS2DQ2wsSQyu+Kg/AeWmBVw4k/Ig0aV0v9Y9azwM0sARQNRKl2IDJv2SW7xQwgQATO984feZ315Ke2J4nEyVcPxib7ER0xaiOGwfhVdu2X6mshprtdrcfKo3velN+LEf+7HCY4oS3FTb2NjAF77whdRnrVYLQRAUqhM823YIvK4SY24VzK0AZluEXUwr4QJlXMt66FHuIFUtpHF6waK1ieeBD/eTCSwxzWNFBgUhijzC+KxQ4gF3F0XK24vaM1WwushkiENO6nm74EXV+AGkMhGLbBxKwrHi1aqswdp9XGTNaR6QTBHw2DPWZOJ611frSWhoHIOxUchEe+ZImBiFE89fRbuWqmmU8r4oWljT+lVhLUzp9VT4Rjz2kEWVNVjfEgs6H4+AyMf+2MRyyYQV+qDjngBdlRXQ8QiEheDDLnh9Axj2QRyR5cmrdSAYw2fpDcuZ/fRYff4RAyQcowMXy8EYRrWOJ9uTdh2ribZWHXeSjXlEcKfYU/8PpBSABX58bXEtEoxBwgCMRWC9NmhVjO3z3THOdUZ4HvYS4MjX05UJVMvj5EWr0yteZM5XpVYkqFYrXGgE97zxp4crVR6VHPs8GIPQAGzYTwqx8yiaeDZLNUGbUDylOlRQqzXwwAddWsnQGPLmmoTovnzNzDlML0GUZyq/LdPG+DsC8f8oBrPyOdI4GWIWn/aZtG9HVuPq6mqiUnC5duedd+I3fuM3sL29nagNfPKTn4TjOLjjjjuekWscxA6B11VizFsFq1RFtpJVAqmsJbtkonEBuBb+knpKqgq06aQlCwJlAqaDFpi3DNOZpF+HVQ39F00yOaGyWXIH3MnywuaxeUnl0mhOplby3an6wtfXeUyzzIzfhdx9k1IWMEWN45nPZpnRzYbx8mwUZUOchIWI6lswx71M6JRrQpPyOnKnSq+5PVkggpj3NQgijIwaHK2LhCsnM9e2larR5NTzU99FaltU/ozqNZnC5SJz6HilrhVrIxEWgjeOJv8eOg1UohA9n6FSWUG4fA2scIywsgpqWohsD9SwwW0P1HERrl0H2t8DcatgbhWOn34IjZJWONyrgoRjVGwKXl0FN11s0gn4teN6g7yxJcYQpRgx8ZvV1WNirNUcCIFX4T0knIG5VXDbgxGOwOJ54gi1UbYMgB4HjT3UI3N6ph0/kkOO18KP5Nj0MjjBUtabpibx6KCKxB55roBpPVtXvidgIi1BhvsiZAtMwL5bTRJFosoaDLuU+q0M31CVqWAhsH4q1Q4AoCfS0ioAEMWZpL7hzFRhryxNl+5Ifk8NvWtzC43nb9l26bEN1oSnMymozhZM+PlHbGfOnMHe3h7OnDmDKIrw0EMPAQCuv/56VCoV3H333bj11lvxute9Dr/927+Nvb09vPWtb8XP/dzPfdsyGoFD4HXVGLPLYLaHMYvjz5YNKybhjpCeRMpGerKXaceRMjMY1fQk4Cv14Uh1AxwAW5sIBuo15gwNeKl/dsdZ4FUqF6dS6yTkeW19QeCzb2cnT2n1YVZId5YtKoMhRRR9V0yiTi97zX5p8d1cyZ1vkmCXxOITKCpBpukApgNS30JQ3QDlikcpU7Yk9sbEODqqrKGDeKIfiEXZIDGg0naze8j2ATXQqmdUDq0J8HKmRLj0TUfyuV/g8YrDQ0zx+vV8cZ8VmyaVH7hhwyEMNZuibFGEyycQGA7I0lF0nWV45QYCUDjUBEwbbPk4fGrDXNoEDUbocBu2kX5+q2UtWYFQhI0TGAYMtLYJEIJQ4YFZ8X33qlsoIQDx+wn5PqodAQlGiQdPvhu/fhwR57DDIVi5kVQWKI1iXp6xBB4r6lsF9PhukN1cVWxNYqEA4LZznLCe4uWKiDZvxf8PapMQpdVNE5z3w0lHWIqBGrM9sHIDhlVK7iu0KzBir2wrpGjUNlOe+Iwqf07Gt28fSx1ihdlQuaxMYHEOzHDaj4/cXHwA0h5gXysv5TniWcu5V250aAyepfQIs69gkWzGU+vKQc5/Nu2d73wn/uRP/iT5+wUveAEA4DOf+Qxe+cpXwjAMfPzjH8cv/MIv4J/8k3+SElD9dtoh8LpKjLAQhIUwiImQi4WIRGKC8PQBz9Kr1IgLN7qaLVXkYTLjyZgEk5nTmZIpmbRP8Tws5RDOGS0GKBVrMa5Uct0FpRdsY3o7dMX/uWzOEF9i8eQvgaytlZS5UqZ2GWPUQejUENY2EEQcrroYa/cneSwNLrPi+vBK4h4G8Tu0Yi+N7tHwcoouq32SaFUAIlMp5M0VUVeVmzUtk6wgw0yCMpXlQ+NrqUrzdNwDA8AQX49QkcFl2rANAhKOYJmOSEiAAI4R43BGQgOv6jrwo/TgNDV9CRIFAGco2WWQkQ8Qmuqj8njHpKDtS+B2CVY87hGF4KYtqAaGBVAxRgPGYRDxbOi4jzAW9mScgRAxZpIMuQIdOk6y3xnDdvqDAm6ntagXOw4tG3QyDrul9AbRVh4fiQtvD0srKAV9cLuMsSXabAeDpP/ZZk1UBVBAYkTT85cRKWFnaoKOe4is9Dxm54S1SdwXaTCcyX+bh41qFXggg5j7ZxNxX0EMXJPPacwbPYAO4EEtukzgdTnnzmMf+tCHpmp4STtx4gT+1//6X89qOxa1Q+B1lRgZdUAsDssuwwJAIpaE72YNeC8eiKrqtB76sxUgRXuXwB0vxbHRr5EJOagLXY63wQiKCePeFM/FLKML6ni5BTt0eoA0bHaQ8j4ASjL1NGeSdI0ZW+ccI+P52tEaiutKmQIACJ0arN4OuOWi7A/Sniq9HmmcISd/hxhjGHH2VS8uXbU/CkGjIBPOcYbZ8j4Du57829bCwJUpNRmp2qYpHJEiQEESxfPJQuoti0U2NGswh4JLRUf7YG4Nnz29j+85WsUx1kaJmiAshG06gkuj8mmiEGU6EBpmVgm8VEdb8+T+t6+kCda/+tJVEH+AFnewMuoChKI5VnhQ8lkEbdFeQpNnVgmGYI4HGgzAuZt4e8r9i+I9URMkHMHoCK/RN9sVfOaxS3j3C2kSWgvd6VU0yjmLoo/0+HFbp6eeX1XKcyWUAMWjo4NmI+4fTNlMeXrdWaVJsrRVyeqLMCI14CjloOScVUEM6pU5TF/YUvMhoSDjLkrapiivjqKkcUSV1Zkgwt2frnkmzVYiETbXPFdSFijOjHZibz+VGcqS83UlOV5XOfD6TrVD4HWVmFDKjkMKnIlJRSozazvLTBkPWbxbmeh0CQrVc0Q4A4/CVLiG6yG9AiFS5KSoz+JiLcrVkraox6swBDVafMKatzj11HbkPCta0MZpptd1m2YrngAbapiNclHihxs2CNcEUzWPl+xrZUuAAzpoJSrgo1AsVBXbQEBMUC32YuR4RwzV46WDaEVcVQX68/SVIhHJRLE+Vb5G9CNqldLvlBq4fb0C26Dg1AaRXqZgCOL3hVq8aYtnBwCRD27YMZdwI8VhA4DnHk2HhJlVAmUhLErA7RLoqJs8W2DC8SJhKMoDWU7iBeOmIz6jpvi3HN/x+5RtkXZsycX/57mb4IZWlWKKqeBcWmYDVrRZUd5Z8hQKKhUkZP6CklmqF1UCaF5ZA4GY0xL+k2FNQHlcc1Mtep3pQ9p8aIz7YF76/mmcWKKapA4QzjNkeN30KEGepYp1a+NFAuuMR2vBsmWHdvXbIfC6SoxEgdD6YWFS4kXu2IlW+DkDLpJyHQpIKZJ/YKG4njKpEntGVqJKqM+raVZ89oFLBs3SB8s2ZHrGoF7jch4LCkKXeWYH8TXkAvYMTZrzAlDJqSDK+wpBYQZDEKeSyRLUd/kSgEuvE2FhUiDdUNZki/kIqAZ+cpIu1B0v1wRUU0Rs1SNhKNPSNABRlPwhPQMqMIj7UWCWkCyPkRAstihF14+wTsP0BsUfAjF/KjJdmOFIZBRyBhKMMQxYJplBJ9cPIoJSqQ4SMLBSA0ZnB0aO85eEY0gBVyk3kfQ8TapBeMZIApLlO3VtCsslwmsUn6Mr6avm5oTRQy0UVlQTM2+O0cPJqsn3X1QkPpXpquiWERYKaRMpKhuOU+CKREEaaOvEfhVAGpbIlNT6flG7Al78LAGgNM8YVfuzPl7kfC83CbFOXiKcGt/7Fc1qZJfntcrJ9Tk0HAKvq8bosANqRiKjkfOUSJ6e9k30CU8KAao1+PSSGeoOkDMQhSMhzi0mbKZ2YTmTa0bkVT8/WkyBXtqi4UFeBCAXVMEHAHs8X41EaVTLaszLspxVbDfPyJyiq+ux/prq/bR4CBKMQXu7CbBPflcLERs9oWVUskSIiu21gRiMVWzRJ8uWAXCeDgliDg6dphmWAoGqwKUaXpwiFlkoZimBlxq+jL0nllVKPMaEhQDnqLsGSiYBOoFoE2fiGY37oE4fPBzDJBQ0rhtK/SHY/iXYG1nwp5PrK1EPnDhwTUc8n1EX9cbknkpmPHYHguNJgyFcT9lIRYEY7+E4CQMTFgrvCwvFGI71saoORc9nIP5kXBdFtfOeoVVOA90izblU35Z9Sp1TpnguVcCjt0HtQ1J7i/gDUSJp3E3YieK+w+TfbP8SqMI91T3EKY+qvC9tTEk5j9R5S6I9hlWGQYoBSBFwS66tPBNdoy65Nznfy6LZEpDJfn1A+sNB7DDU+OzYIfC6SoyP++AWwKVStGkl2jO0ooUBe2k1aR6T5A1FR0aXDaB7Z7VzfERqGSC9fEUBZyuPX8P94tAGDxYLGUqLmouJEhYBNTZanFy/KEiSgMs6/zUAQLh2XeYYc3cxNX4AGB2fT3NmcCFW++5MssVYuQF28TT4DS8GPfs1EIUEr5dWieLMrLAbe84MAyTuO43jAowdqdgwOtsZMjFpZ0tweM6kH2ZU8pWFL1IV0hWANk17jTVO5H4OAGZTCFGmFNJjLwIrN5KQDh/sw+hs47FgHXXXws39Jlh7FzhyErSzAz7sg9JLQsMJAHeqIOe/CW7ZIJYFe9DESa19//nvz6X+PnHHUXi9bYyqR2EN98H7Hez0JyBgrSym4Eor7ucrJ5JsPTpoIVw6Cn7xCZCldRgy9Na5BMPrA9QE607Awrf4MfzDdgc/35iIIzsFoXK5SVBNFwnVvZSp8/dzsoRVMKMBbfmOaaAAhyMaQb+Zfn6A8PyQzi54YwuGLG3Wa4JKsWLGAEtIf0gzO+m+qNIMqFtB5I9g7KfnFu5kn5UEl6Zhwirw5gEA9mdLvlBVIDZIAygqNcriMSnFo3k7fs6y1NFgcc/9oV1ddgi8rhJja6fAqlUxcREKbliT4tc6X0tTrk9+Q91h6uUw1q6dnB+OwaxSKtTDMt4IjYeh7LJUhfzJCTOA1xz8hzyjJ56z2An+dDc8381O6rNs0d2lDBMwqY+VE45hipbPvEZ1Iu4Uc+J4IFPAMacmyMnnAYyBH70ZXA0x6dmr8f0SEge6KitJWE/uXikhYN5axvNJl9Pp+UC67+rq+9Gxybslq/l6XWxavyoQZuSV+Pkq5yY6dYROxlXjKFi5gWvgomQSRGQNvHFM8LxsT6jIA4IfFN8r27pV8DFZCJ6TyPHcjTTHyzHp5BkTAnbN84C8LuU1ANMCs0qJVyTyVkTYdWUr7cGprCIkFCQKQC0nqTpR5xZeslUHN5WkmSlFxgEgzEtE0fqDWng6c36sLwVMxrcK5nRKRDLDKGr1TKMg8GuePzm+JcjqUbkBGvPcWLyxMQwDUXzf3C4Jb6Qy50WaPh1RvWGGDYOFGZBJcjaHyVzHWQLYp9ocOl5qKTGuJRbIskZ8M25rPBZp7OmUz4pZi9ecPagderyeHTsEXleJ0cE+qBHF4Y+YCC2zFTVNLkMvaB0fF64q4EpbFFUPFh11gchPinAD6YxIICeTUt05FxHvp9mCpXekzaqPlrGCOma0vLhiPFuQCM814nDuZD1a8J4WsOZAvBvuTMAdGXdhdC8iWL8R5s6jqRCQ/p6jmEzcHsaAUfm6Feu37fR93FSzM4s03Xsq055RfeKZKmvlk0hrkgU2New9hRvIrencu2QBVe5NhlCZW00WPzrug1XWsD+MUHMsgDOY7fMC8HAGs7sjFnup+2W5MNrnE5I888bY1WhSY43UYox7AIvgEAawCGbvEkqVyYIfJJy8EJwZoMEQkcKv45yJUGMwFER/AGb7abDSkvibseTemqSG1ijAC6t+8l4LkxByuELcmu4h081Q3p8cd2p/0oEMkaLOqjddJ7238z3cxB+KOVH+PGOTJKMcz50OzNX+xakp+sYc/EvJPWRubebm0Siqz5rTLl0UWW6WaFvcl0wWkGFybog5nQ6vHMfratfx+k61Q+B1ldjF2nUY1GoIGYdJCULGcaSUT9DQFY9l7F/VrhkaaRe+b00GwIo3RI+W4SuDokG03Z7uAVO9Y3nSELM8XgcsGbRTv2H2QYoVTRIrty32W0AOyJ1hHS4WkqG7BQDwcp5Lx50eJptm3pxyYknGnLKosFIDo61l9AOG2sYtqXelClYCE6V51xT9YXfphoRUTEPp8QJGxIbL0wC8ufGCTHuqymtvb6a/d83JtVWPHlfLzkzhtnXD6f1paTlezBVeT5sK0FKzKfrxfVRWy4isMrwwhEEI+pVNmLWjCBmHH3Gw0gYqFoUfcVSHO+gaFRirN6LERrjkHUPdApY03a4lR5tSWQhuWAhAYVADzdVbYfiTe5Iiyc2121EzIoxgwpBgrHECo4ijtFoFM6yE+xa4VQTUFgkO5UYy/pf2GZZLFsLayQQAMTJ9I3IpyoLXVSsNHprrz516vi66DKQrFQyD9G858ft2zckxUtg2MWW8yymDAlha9dCKzISsXVpeRTn+nX7IETCu7hHgazmIhjPZvJqUgHqbST3S5JicKaxuxwCWkJkAZLA8e37ZV8SnS5q24SB+XuWK+LwWcyq3l8Rcvu6JvuWXFpPYObSrzw6B11VirklQMgkoITApAQdg9OUuPR2+yOi4xC52QwlHlDRPAVOVm0c9oFSeEHsBkHExfyGVAZkDJqKCFHFgIgK4qJXMxQAb49OPpwtKUwDIDScVmRuvFjxuh/qML8fmfQo3rcaAW9lZk8iHGY7h2lWQ8TAFyhwnHe6Q6+ZqzD1aciZFncMYvBPiwkWYISdX7OxCrmYJljMSJwrHUBHunJWoAQCVckG4thd7BhTPColrZ5LIhxdnTdJeB4Qz1F0PhAhgYIw6MJ0qhiFHySQwwWCaFNypoGxREBbB6DZRWToGwkPYRnoKvXElvSlhDgUJxzAIASvV4RoEoSKA7MQPvGxwkFEXru0hcTNGEWzTBRm2QU138rwIhWVykHEPxLQTD/S61wAFQMLhhIhd4PEyaI4HR3un1YL+GypQR/Y2teKFLrUhlddV73tJ46CRnPP9iIOM+1gqL0+EiaMxEE5+Q98K6oWdVekMCWL19unVOtQ7IyyCNUNMeR4yBXUn70MX25UgXH4uNyPLJQHApLitMbyCoUZ+maHGy6jz+I/ZDoHXVWIeH8Hj9iTjh9BkgiLa5E514nu8s1f5MKYWIqsqJHESBfBIkMqWzOM3qJbS18mpyzhLtdk4IMeLRIuBpaJwgNHJkr9nmZ6kMMvsGIBaVsx5yeGcHUhMds5QrdxFk0gB0pyBhD5swxahW8UTVNJ/Nw5D2rHmgdndAY1lC4ZULJIGiRdPTVbEyKvXqYSuaF/LGlM9WyooVkHjtOLrBWEdI0fItWbEqt/+EDQeY3S4H3O4PNAoSPhJRjDCUmUdVi8OBcUgxmCheA+RD6d7QWhuaQBQX6PouAviD8Ara6CDFhzDwkgpayV1zozeDuigDe54CfeIDlogblW8M9pPvFiEhWAuE1wzv5+MTW42ABKfFz+3qJQG1qotaTwoACCDdBicDqaPP6rxCHUzdRHmuH+kgFc9zQtMyXn0xdih5UZCOaDx+DJ6u5OsxnJDlFZSBV31YvCK9iGhpuDH6WM7jzwv5945wpK0SHojtpISrSAaud5KshjTz1yKxiayEjPEqp9JO+R4PTt2CLyuEjMGLRhGkJpc5WDPDGhdoyYGTUTZPU5dsCDSlYnVTXsEtEWTa2CPhJPdHs0BAYzOAAYH1LNaVKW50DN0gFIbeWrWRSbfVcLXyCvyPKcYaqodcz4/1xQLrVriifC4CgJn4t2nhHbzNeEqlXgRGPRhxAuBGxdFrtiGKOeieUf09HgAYNEk5J3VVlL+VjJyCWYvLNNqOALKJkKVV4lBlar/JLSzOFyEIMEw0U3ihMK0XEEO50yI4HImFjxCQUdd8CgEj9yMQK5rap7fQPy20d2JJVxMVNXFVxKoB22QcARuWsmGiMQ8TBKMwa2Jp5mM+zF48EFCP6EBVGwqFrrIB+LxWlRextCFmJEj71BwPtd5U5pNO1e9BnPS4Ce1qZS6VUMKEoxhsCaYI59XKwFXdLgPEvngCmDR25Mah4YhEk4GWvtyEmmYtmEtsrwsUd1SHDjtekyXQZFcP3ldRcPs0L6z7RB4HdqhHdqhHdqhHVrGDj1ez44dAq+rxC65GxiXaihbFIOAoWxRlIaxtlHG+5TeKUVLW/HnEy+XrrW1Tyeeh3ppjLbVgKFkvtUGOZo8qYtOfju3fE0BlwTI3xHPY3tOjnRFgRXVQXSr8zKlJkYXzECUauL7RHg+lrzsc+nSxQtnV3I1CLJ2+qJ4T1vr6XI8Yf04KI/A3Fqqn3Steur8aiQ8jLvSG1A/mfBqRmPx//YoRK3ayHi8+jRbFzCpWQnA15TuVY4LVbwJKZHJnLChuKnpHlaZfKLeZ8sWn9Wt/iQ0X26A2yUExIRpe+CNE4gMB+a4gyY8lOtV4Q3z+yDBCMytwTdLKAEY1k/AGe+jp73LvkYor5guuB0irK7D7FzAwDuCwXhyTNUWzyQ6cjOszjZAjYTTyQ0LMG0QagrvRxyCjVbWhBdz0AJz3UQyQpLFue2Bx54kVlDIep9nOXn1UtoL5LvTQ5VDhZxu5bwO7VEkpHpbSnsA8LXKECrZvmJPftTlDNypTIpkeyuJXMXQFl6pUjDxao3ttCfNUqiaJBJVF8Ya7zRv6igHwivITXdmySCWE7rVrRNNwuu6Er4Xk+BYzJaoMOFBbsu5JGyL74Nnhjc6j4WMJ8keBz3/0LJ2CLyuEvPjTKqARYiYyNJxkgUk7VrW3fNBTHJVlzW91M1gOFkkl+wSRhEHVQZ+Vdf7yXB/FOG/HML5rELeRdlVRRaN5tOvknbJn3788dIBwp1FpZdyzHfEs+nFwMVwsiBrb7jYPQGA6c1XuuhCNw7NrivXZSH6AcMg4FgulWApYTp/nH4mUgC21RHtb7gGLsXSErI243ZvjOvqFRCe7pf9IDvJukqWn05eHigrs0pSD5QFvXwQlX8Zghop2XPxteo0nIASQsGtEiIuyNcjYsMPGEp2FcNBCMaByDRQKtVhjs+hAxf+mMFxq+j5DA6hqcxgILvQiHDgGIRFIFGAYchSXgC5+A5DhlVvOSVzwOT41+QPfLMECwwoCdkZFnObxoMQAeOoubWkRFdRWGp/nB0PdW1FKCqTM1YKYucFh/VzK7ZAFP1oMlO1tXCf2kdkQs7+OMJRt4Y+cdGNx07VFu8FAAajCIQAljNJQmoN079rKSC/ZFowAbS0uaVmZ+cwN+4rNBjmZ3MrNohmb+yaSrvKGlq9NGRx+8TnXswTbQ9EO2ueaAt3rhyYOfR4PTt2CLyuEqtYFFWbIuIiXT9iXKnRppVm0fg+Zqyho05oZW0OSO3mqAmLk9SOMqJ17RragLFVIm0WRM0qaRMccADKXeC85prTAd6iRH0AKXL4XIcz4ZnyLDG0vBxPVegsnmjgkPlAo0zZD5Sae5ZhoWJQWFRklqnckrKleeRi1XQ3XhQcg2DZFfcigVLDtdDxGaqa0ncJ2TZyhftHtT7iKPn7pnKupWbbTuHYFdX+zOM3ykWOm9Vkk0BDH0N7CX7EYdsOHM5hUQoKjrJF4VkCatIoALdLqFoEY4MAQ4aqS+GjmnHr6P2cOy4iz8aYU1C3iopFsRtMFl+JTWoOBQkEx5PF2m80HIskm3AEUDPx4lgEABdeHWfQTNTQfSbI/aKWYywnUSD66YQ5RbK17GQ98y91rJLVKBdYIwVw8s9TZRS6mpyEmsUs5UZ6gajR6Do0eV4efCD2HtmGAccgqWlyyUnPAy6UZ04tUPDMMfkZ1DEItj2EM6YwD7Pnl2V3MvYNLauRxteSz7zHxbFLMdCSCduzNrmHdvXbIfC6Sqw63EHVHKb1s4Zx+CUH6KhGY5DkKYrodD+tP7WuZPAYnYtYdZdABpN9Kp+VaacsmrmZgzPI9W5B6ZIik+KQ81pRFqKxf4CsxgXlJGgcxqrLzLReNlRW13TY5jHSmS+FfLNaBwBYoSqY2wGhJirBUJCKFeA1jea/FOuQOZ3zcOL+Z5WFFlLADNRsmpKAAIBqXg3PaLKQ6+RjqoD5FHF5WrajYkXeB6m9pt5nI/aO0H47ASVG5wJKdhmG5YH6A9DhPqhhgQZDLDse6KAfi20SkHAsvi83YPQuwR13wZxqJjMw1Lw8dNQGCYZw46xGd9DCUu2a5PuyEQOWzjbouAdulxPgSEddcNMR2Y6Wk85uowaoYcLoN8FjQvpSZQvDgInPSJxMUJ4eKlzP8SbSbvoduQWVG2x1bMjwsIKj9IQd0o/fpbJxPKor11MlQWhfhBI3qSGevdlMZ/7FY63qVEVtWjWrW/tdtR/J3lXPVG3IkudlPyOcJQry02weseeG0i4dQFVlLc44s5TFwtlE1ouVy8EVlJM4FFB9duwQeF0lFv2/zyDySjCPnAApeWD7kxIYVFP8Zv30wCNxzTJzWeHY9NMTqCw4CwBk5SjYE/83Baasa25OH6/XY1RVwLtZPlhe/caURYuH1wAgePRLCx1v3v69U7/zv/7Awtd3bnz+QsfLckCyoHIe9y35bgErUiBX7dIgrttpK5ljtgd67hvA2jUg5x9J1TCMWmlga90oakKOzZhP9A+fhPn8fyr+Hc+hw5DBPv9VRLWN1Ll5YrOhckz40KfT1zpx46SNSp+W/RkAWK+de5/0VEEpKZnBpqjbm2cfEvewfn3C22O9Ngx6BjhyC4g/gLF/HmzYB63Uwc98HVG3BaOxDrJ6DCQYIqqswbj4GAilCB79Eqwb74BfToNoU/MQ0f1LwLgPLB0FaZ1HcP40wpcoAroxCqDBABh2AMsFjzcpJNgVkhe9NrB+Ktk48NYFkJIHXl0FupfAuuIZsdu2hLeEMRBZ77FA4sDYydYMjdbTtUWjL31i6vnWyVuyH6peTa3GbPDNL4rzbnrR5EPNe0+VNgVnHhXtfOHd4O2LIMubieo92XsaPNYepKaFcPs07BueP2mGNh+pNVw5oQge/gKs216Wbt/XP5e5HfMFd4nfs0op+Z08I80zhd8DABpHJ23qpscLiftr8OTXxbWve574PAa/stYp6S1ec/agFnF+WVpchzpe+XYIvK4SMzdOwKx4ooCx44G4Q7CtWwEg2dFK4xvp3b4Rl2pRwwp6qFAtzsocD0ZjDaQ+IblGmkhrkR5WnneMF5B4geLQUJHZC5bsiQquY65tLXz9cPXUQscbMaiSPLy8XfCiXjQAc+t4DYK43psK1AwTZHkTnFCQkgdqKZ7RquYRiRfCZuxtPbV1XZJMIVW3+36EYOOWzI49T1+IKx5Ic1N7lsrCTFYmYET1lNC147n3OUt3Dkh7P4nkMBqmKMEDAEvrCFdO4lwvQMNpYMW+BJTr4GEAY/UojNWjokxNFIB5K0LuoboKzhmsoycR1dbR1Ph6O/2016Sxei2M/XMYcgNVrwHrmIHzvckx/TjcdZyaoKYF+BOvN4kCIV9RXUZEKFhDaF4Zoy5Y4xi4XYI53IcR1z680A/ghxwrlCbem1ADx6pZefIHGsDPvDPF2HL23aj9Xa8TaR6J37E6F2keOVWqxgzEPTDTAV1aB6fmRAqksgISJ8twuwzLMObenMC0YG6eyghTqxsBaZEcq6GPcXX6swSA0hwer9TcWdXI+DE4lPUxM2Wxjt8m/t+9ch6vQ3t27BB4XSXGN28Er1bBLFfUWSw3QMdigOkLtR6y4fHCmNrl6R4oJSRC/T7Y8dtTX5NZJHIllMiNHJf7DI0ssriEFgAgqi8GlopUz+mJ2xa+/qL7tbAhFhepoxUuX5M5pkgbaWo75gSuFo37jPK+iS/EN1m5AWPUTXH0oqWj6R+In5/RiTOstm5NPpNRp0uDAJw4Ga5hHqAMlExGupX2qkIB1SleltLXpumXyZqSeWbsZT0PspA0MOlTtLcLEBIntQhvJRl3E68lJ1TUTnQ8kNAH81ZEGM90wDaWQMd99El6w/FkOw0+n7dkg3AG26AANRCtXw9bKdNEZaUD00VUK4Hb5aQYcuStCJDCGVi5MQG2jifqOEYhotoG6KAN4P/P3p8HW5ac9aHoLzPXsOe9z1in5urqqXqWWmMLJCHTklrPlp78MDcMYYx4CBQYWTwE78kNIVsKDDguQrZpG1+ZCIv7bgDvPQJzAWMrhGmMaKlbQ2vqVk/VQ3V3Dafq1Bn3vIbM90dmrpUr19prn3160BE+X0RH19l77TXkyuGX3/f7fp8ExFcHIW5bWUpqtZaR6+0asPJGrGQL+52Z3xmhN83FM4G2XdqMqucS5qawrA+pOYoIDuG4smC1eq644SfPJrwqsHJjlo9pa2TZZdb8Zm6uiFduzD+krnlZbSf8zUlmF+YusswG1a5IogvUa8qIunbckpEMZ/sCgAIB7VfQDsj1r4wdAK99YnF9EXGjhUhAprZTBv/8N+WXZWKASL0bzAxhWaG98FA6qbD+OkTzUGbSY90Xszdku4hN0c2CsOJ0jtjeJgt7RzzNSkGNmH2nuBtRxIxpAVW1ALGdS7lDgvnZvGgAUhX1KfbEFbkwvfdw+r5o0Idwa6C9Ndk+5sTdzkpAOOvnAAAb0SkAgOjUEvAzUoXyekEk1dF3ASDNDMp8pqzRr40wjtm/JrZ/2bVVmN0M+sVKIZ1tX0w8eGTzIqhTwVJtGS2Pga5eBa+2QfsbiBavkdmI3SugggM8Agv64LU5Kd7ZPASMu6j42dDiiXZ2U0IH60Ass+7AY4A5oMbQ7FSUd2trBBKOwYUA0+T/4bYUbo0D0HEXXBHfCY+AaASq20e9n8NzHjoVB87mU4lnSJQAr2Auvylwu1keZGGR9+RLY05QoCcjX2F5zTXQcQxgbIP1zEZAVRtgmy8CPJZjSVUsINEYQnk9+fxx8EoLzqY1h2UungV7cedILnRYNNdoxXsy6k4tku1sFxf4Nm18NK19SS0O3MCVQEyXUXK25POM61JSx9VC2bvw9r5cdgC8Xhk7AF77xFj3MhgGssxGHADMQ6QWizWWnRCWrAmCbcmd0EY75WfMrz+RPcYgqcfNJTmhGHyM3mLWze5ba6S5yG4U6MgMo2LPhLaQ7G0Anh5tzXR8GVAqXUQmWK8zG0hqXlW8FOXBKZokvY3nZr6P3ZtcyLeNsjTw5jG//QwQxxCOn/FK2ARo7TW9sq123xxgm+cBALF3GoBM81935nIZb52Ns7m72ammXpWmHZo0vR1OuqgRg6Rveyq0ae2mIqursKUZatT9YrNxPNGcqi+ewmZlGcOQgwLwdQah4AnoEX4dwq0iai7Dv/BtgDqI506ADLdxoXIcIyur0bWSTLYbR+G0CNZ7IZYP3QS/dxnPbabtpos+3zTug3tV8Goba5EEKCteFSAUcbWNyG8hUAc3xz1E86cQEAd+bS4B95ujCB6jCBdPJzzMy9VsSR7TlsZ55XrzfQFAM9ya+HtzA5iEAI13bJfLsj1gQH58sG66wTBBWdxegbPxQsJ/AwDRUuTzaCy9RSWZ1RmVeOqk79gwUZCY8yzkOGr5LFcOyrbDmA68vMtPptez9BnrOqNUjYtLdTn3rGyeA5BunsODItnf83YAvPaJxc1DiFuttD6j4Im7PCepEGZ3+5qrYC6EcXvFOiadxOhoW+7ujCweO2s8V97FOLZql0UBEPJy2Qdbs2a3xp3ZPF5locZp5NgiswvZTrO4Y4XuikJlexCT3W0K+bGOfMZMX+ACcUPumnO7fJXtp40oj8W1kfp9NEzCli2lxXaqU5VFpa1OU+QxKJMj2A3XbZKcxK5ei9H2etFnMdJCzITCYwT9UH4WNxalWHEcIaovwgl6ElA4Hmg0RjR3TC78ynNFRF62oG/pyHmMgBGChkvhQIqALtfT96/VT3i1ndyvlgThXj0J82Y+9xsQhEotL8ETMOIZfUR/VlZkPmAFGcAzFLM3QXHiYTO8QmJkhceVt8p873afMXlaelMQt6R3Pm4fScAKHfeTa2lvWzyXgkxiZdiaIVfh+ADnSUg5vZm8F1Vrasn3mPs6+/NdeOczdBBrHrA5alUl18Gpamc9B08pXfRy2oHH65WxA+C1T4yEQ5DQTTR7wKNkYA4tAZnahIXb5E4MvE7mu6rBoeGVNqhS49YWECtEYqdjG3/3CwRA3SkroZ1mv1sj8YzhwRKCbVn9ykk2621HSsRRe7yKuFl0xoQBQIpm7saevSo9BhFPF8WQC5AokFl5SoFdm10LU/NUzu/IgtZvqIbJAvXkebkQvrA9wnXzlVy/9Ao8iqaSe8VeMIQBWiZwuWxgWHRe2zwFCMy21xuHgLugajGo1OcxigUGoQAlHG5lHrXRBobVBVTisSxu7dXQozXUGIGoeqCjbQzcFurhFurVFp7dzHpsXtjOhtRPz/moO8BOwNFyKci4h16QhuMavuLPNZfBHR+DkGOons2rLkAIAd+hGIY82QQ4lGEsKBgBqN+Co9pubSPAKOI40miANWV/GZQIENcKkMRQZD8rC2tl6g5qqQsDvAi7DqOiQsSGcr2tM8aM/pgkCDQWQXiMyNANo9V5MKXLJ4uFD9Cvpd464lrXth610l1FZIfZu/lwvqs2vcOQF6jUZc3rFCeCmMaMOSi3udVtpz9XGntJJQcNaqeEPF9OiwVHXFKQfje/P7C8HQCv/WKEAoRKAUPBAcdPBpxvKSJzll2EaUHn9ljWQ8INLxUNBlJiwPAmuNYkTGwPmOHGr5TsoidZOPtPlO0yU0lbCfenLLV+kk3b5eaO14uBLmgbFIhU7sHjNaOObIbf1HApOGtLXozjZSd8y0NIlWdAPzeJg8QLq5XHGZngySpI0DDXcTu0E5kE+UladRPS0b0SoK+9ZGYoU/O6GiIF0yQYouG3sY4YXAhUGIGoNOExAiHSdtHPSsIhhFuVZal4DI+R3LixgbpDiRT/ZPL/wvEyv9FK7XS4BeLVUDWSACqIEDMXbLSDhuMD0CKwHiiRYr2mJ9plBKMIqPIRIOSx7crkpIyikWKLnpZtVjIeHp0kYPRtm9hflOFrb0xMjxnV4Xoeg4ZDuCaQDoYp8Z06oHGYeATlby3AaHBeheODBr0MyAOKs3JrNcW3I2lJpknmFIRuc2Z6JW2Pl642oNvAuhxXn/NXEXgd2CtjB8BrnxiJQ7kg6sWCUxAiJ9W67X2yd6Fqka+KdEElo+yEaZLf6WhH1uwzQIofWqDEdtUbE3yjIHtnGpgIxR6R12h3NQoTKwnJ7bVe5EyXtyf8IiC4B+Xpsuw005Zasq/YqtgkGsu+xTlgXt4CS5qjs1hTwEPw5JiVhuJ/9d1cmBEAMM4/q+MZx9kVGMy2MTcPu9gl10s0hdPwpDEe9BgiDirxMDnO8TmqLoFLidT3og5Y0JeZwopU7423Iby6DH25FVm7UXAwQjBXyfapppe9MUoAcA5HhchIFKBhCMcmzRiFoINNOOEIRNVQpYNNELcirxsFadYe5/DiMUg4AImCJLzuMwZaIZK/qQCrZ4fTDItZHpTldJdK3kXGu6U5XsZntkcn+dzoy7b3NzNGtRctGgNxIM+nPNrECDUSnYlrCvraY92Yz0g0kuOgQPDXNq14H8BBi5VrEZLh9I2dKbFB7Hkgln/rdqsrbyhRcyBVzWmT8l9JOxBQfWXsAHjtE3M2X4QTNSQhmFCQcT/haZGhNUHYXgq1k4xMHpetEm4QYePWCtjmCyBRCqZi65w5XS5j51skABpO0bjxg70RQtnO7rL5tOW0b0zrTybeTzK/N6V4uH19qjkosr1FQUFxOp5dQDUnaDvBTnWkZ7MaGVmChIJtnkfcXM7VnGNWeEVLDLjKq0rH/WQR81T4+tr5GrywnwOyReCwWUsnXjusafajDJfLWPxtruJuLCEtG/fHdlS2Xn0hBb48Bh1swmdzaPsUpDeSgqVVKRVBRl2IShNxfQFs+6L0lOxcQlxfAO2vg7aPZMpuAcD1C9nQmR/2QYbbqDQOw9l8ASQco9FKw8B1zX2MKbhfh3AqSUkdESrKAY8hjOLmNBwiqC/CiUYAj5O2c1kdLd9VnnO1aJfwgdz+Ru4zxxYeHZWE+gvC+qaHzJTwANL3n8l8tDh8LEjHqPZQ82Agi4WP+xA67CV48mwk6IMOt7P8Mrtvmu3AiaR2WG1T9KzRnDyPK/j0jdsuNgxl7ZmUstLttCzDpZqXKeoKeL+KJYNiLpLQ/F5/f2B5OwBe+8S4X08WV0EoRKUp3enIu+iFY7ma1UA005lz2WoGoZX21yGcSiYUk9cGm0yuLwwZvAzlNIqsFEgVHV8mohjOTkpNFuzdXl+9Q53MUJRlaQs37sZ2K2txqC7J/bRn3PfVF8FXrpfeBcETUAjk21erzy/UZAaj6NNkwWmrVNcgZmCb50Asb0WR2KwN7Ewz+yTrplm3Ga9AkA//AFP6k+rX1AAW0ZLM+GXPfQ1YkDpeJBwD4z4qR+fhDdZBgr4EWcNNcK8B4rgQzAXrr4P2rkL4DcTNJbDVpyBqHbDeGhoWB61nLc5s6wLIuIc6cyGuXoBYOo6GkWiShMcIkUCUeXD02KVUit6GY9BRN2lvXp+HE/TgbJ6Xc4Xqcx4jYBSgvY10jli/MLGZ4mten/vMXXs6+0EJ2ChMjoiMd2cDkSmlzwBL9FYBDiI4SH8dhEdWkpDczMWtQyDBMNMn4uZS9sSGs4qOuwqc2uWK8s/qrD8r72FnDaiWj9vdJIuYvDhbYDbRQlO8N2frfOY3jhLKdrrZDcwraREHyEsAT1OS3f+ntQPgtU+MBEOQgCVp0cKrI35RSkKEVv00UrOE93SxYjOd2iJEslOpeGj4yANwb/v+zKIWPP7VzPG0ZmU8GZNmWFDGhdCv5j4zje9i0i2yTHmRXRgZTvZQ8WB2cn14Pl9WpfT6rlzwtEp3tJZf+PaioK/LhUyzG26WgIk8b7RDaxG4+CTAY9kGhqeTHcvKiIRPfg0AcORtMnWdbA1BViUYqx2XC9Xhxhzis0+BWv2QDh/N3Q9ppWFpboVi6Ivp8bHRp8ySQWJUHFaJdxHW4ca48d+o7rW1iEiVruGDLtjcMhrHXwN29Tnw7iao4yHubYFecxvIuA9y5QXE3S2IehNi9CKcQz2MvvMV+LfdBXHhKZAbs2VnOlWrTM7DXwOtN4H5kxCjPpxgiJbhJUtA8HPfRKzul90iy17FT34FhLGk3aiqw4l1CapjysC7myC+XMDbtx2DQwmip7+RnF9/V2SswHNte1bJzuRaqc4VQz6kIIlEjLIAQS/f4mw6V9jzDO2kgEnrdJGNS4jWV0G8Clhbti8f7CSkb7awCeK4mbGq1d+TcxljP+YxWHsh0/8AgFTzXuXwsW8DANzTtyJenSIDUyJnUXhf9pyo2159Hl+UINhZkF5fPZfE/Vcv1Hhgr4wdAK99YuOH/xLjWgV0blkOYMqSgSymAAYxkDu/pCQHgOhyVr2bW3UKg2/8FWJV4w0AnDlrh2hPChlQl59gxJRJhzZ2FyqzbfTQf53peLZweOJ3fJfgxTT39Gxq97puXvC0nLCLdvmB0e67NROMlNmFrgRVZyppOEc4LsILz4BWauAWkAnPZ9tXg8JeoPg1X/3LZOInp98IABiEHL5XSYGAsvET+bqa7mtSkDl69KHstYw+JyZlTk3qV7sB8sY5g299AQDg3fE28IFS9+/vwDl0Apw6II6LeH01uV789b8E7++A1lsAZXCPnEKwuYbg6W9DRAFG3/hr+GdeD2F5dQKLXV+tN+EcOoHQb8BdPo7hlz+H8d+7Ofm+odXJt9flOHY8UE2i3roC4lUQXL4Ep9VK2jvWIGRuCcHF5+F0JI+LC2AccURrF5L6rn5BGZy0Tf4q95lz+9szf4++9cDE32dqyOoyRxXjMyuMGKm6oBo8AYAIs8eEF1LwpOcn9+i1EKM+wOPEccW30rEcr19C3O8m/RTIb1TEyADqjofg2e/kNkBFmySm2py4PujxySr+ABB+7fOl3wOQNXj1PUVWqFOBUF2flKn703OJHiPx4NVVrj8INb78dgC89os5LuC4cvJVoIspIEXs3Zs1oeliscQokk1HWY8ANxZ7tnQU0aVzsjacMrvgbW6hN9zwvJvnhhA2ZSGsz6bHpS1eny3UV2azgigAoIuTBSgLj1e1D6Pzard6JB9+iy7OLqDqHjm1q+O0jlRGK6naBq3U4KycQHTlQgbMiH6We6fvd1PJEMzrRQ/ARuwm3y0sn8xJARCa557wRgqu/Otuz3xnbihM71SGwzgBeHnWuUxLFtCC38bNQ/DPyELg4flnQFeuwcVBjMOdY6DNFyDGIxC/Ar69DuJ4oLUmnCPXQPgNOIeOg+9sgDbnEK9fApk/jFE9u2HZ6GUX04XDpyEIxYj6cNQYGhvgjLkKIEHWRWRzSxir+oruyZskh8urgC0dTca3GPZB6y3QlWvgdbeSBXxrFKMbRFg+dROoGr+8pIyN7RXS7ZM5pmQjY84R2tNrgl3etzTN1Pgz+5wJwoAsGPHU/RGvIucXShOARxudDPgmlXrmeew50uwLxK/CO3UmmTe1uYdP5Z7RWZbgJ26tTNXSo41O6fdAts8TmzKij1EZmBoYjjVgVRsV5r2KRbIPgNcrYgfAa58YbXRA61U4S0dB601E66vJDm6iN0CZrmpv8iPYiSyQwguPp9daPAba3QI3FyYLGPEyIdI9pDPvqTA0jDDqLs296Y0Tv+v/9z+c+frV98wI1lSKvaveSVE9PNY+lPtsmu2WKnF+U07srzlkhAwFvawAAJ+7SURBVH6iAM61d0D4dbiVehbwDKzyUx250EZqwgwvPIPKD/wwgNSb0w9i+T6thci96U25+4mNBXD42Ncz3zXe/r70uoOUn0OqaT/mW8WhLl6gMq7NWZZ6ShlpA5VtF0UBhOLqOEeugXArUi6CVMCO3iB5RF4V4omvgAQjCURrHQjmgB+9Gax9FSQOEF18DsLxknbSRpHN3OTVNkg0ktmNlIHWWxgZxBdNzndufjNw+RzAXFCVbUfbCjRRBtI5lPAX3RM3yLAx88DmlhPQ4zsEgANn6WgKYCZkFgIAXcpvKoSVhRsWeIG01d58T/qH7gtmGSGLb9n/q/8MAKjf/cPpzyyJF8/wog6++pcAgMrNbwSbWwJvLgOr0iNGF1aSfky8CoYP/1XGW0ftpByDnyXcCob//Q9Qe+v7MocUedfZDRKkk6APMoVcT0u8i9pM0dYcT1HPxy/I6hcaNOuNgn6nzJ9dFufA9pcdAK99Yt41N8NrNiAcH1F9Qb4YvaOzMuPsNG2tSm4OZBvomGFIQRnY3DKc05O9BrnMGZMUygpgwCuUaeOeLHfvz2LVm++c+TeTUuInGVeikQlXpqBdJqmxl1m0cGpXx9V6WlQy5dcItyoV9ZUsBPEN/TarffVi2VA6cLU3/GCyGDcVSOiHrDRbzjRTXqD+hmwYyywqTAxukZl1SScsdrZnxjQ6UGVZDN5RfFUSldE+kowXZ7gDAanuLuAibqUg2T11k1KodxG1lhM+lPCqIKMIldf/IDDcRmU+C7R8S+NOCAekvwW/1QcJh3BPnsFcJfXUeKrwMh11ER+/BZHfSDIDo9YKiOCghMpMSqUzJQtmj2T289xKQhJveRQBE+BYSNqw7D2xYT7T2M48rb7uHRN/b+qwJckfxvuyPUT1u94p/2Foatn92pzD9LWjI7eAbF+QumGnXgMA4HEEtirfs6i2UH3juxAb75sXJHok9+U3UHv9D2TKVAFA9Q13546NVQUA4VWnjttoPl/70jadvCKPzxZ6122oPXdEgUedtKLJ9nvZ+O7VDjxer4wdAK99YoI6codOqfyPuQl4ml6AWnHBzCwZi3uS2X3yGMR1M4uiXUfNrrNm1kgzM4uSzybU1Et+byuy7tLcC09MP8i8TplyfWX2Wo2Zor27ML3QJa1f4DncS83I0mxNwwahCkOYeko8klmncSSzuXahZ7YzVosjZcm1t9VnQcwhPD8H7klRPzXCj3b4elImrNk+okDUEijXZNNSKOb52bz0Hsc8SkKkvLEIXmlie8zBqh4q8Ta43wAd7chnjvpAVS64cXUOcDwIwcEJBR1uI5o7hpHF6RpYivpxawWgDANWQ721AjrqY3tslDJSorTt+oIcxzxKxpqWHRFeVfYj3RaEAkPJBxOun7yfzXGMcSRwiDlJPywt7FxEiLdlGCaEw4DsvCQcdW+mx8vO2qO65FHd/DB7TqOfU913VJ8VhGa1r5oSuHO3BjYh+9U4mXERLvu1k+1/RRm0evyznbzSvW0mqJpkZka6ff1EnkMdI7SUipJH0ZuNGDNW83gJdqDj9crYAfDaJ8YbC+CNJiA4hFcHr82l4RQLRBFbIVx5xjgzya6Wcr3Jh4hDwJiwzXMkx1saPNPIzNM8QzmxwF2ayVvbjdlkZ9Noc7KY5CTjuxQuTUw/p2OV+8iedOb72K1VlDyBCRhJOJQLMHUgonFGf4la7SvUe667qk+RueQZtChrGAvE9YXkWG1OnOf+RQ2Dd1izJDFM74gJUDPe1QmAs+Q9a8BlqqLr82TAHqEQXh3hUC4O3G/IBdlvQMQhUGkqIOQBnKfn47H01nGeA16htdCQaAzwGBUqZLZyZyWj+m8eLvw6QJ1kQySqbSnySSgE85L5gIz7EJ0jEI6f8WhFsSTXi1o97Xcl45YXgVp73ijbUGXeky5nkxdATc+VH3+5TaUxNvTxsVMBdSoQjg9OJWim4QjCkEWJ6wuZd8utckXmJpM7PkRjPh+uLuhTel4TlWamekeR5bQPi8xsc2tO1PdDldxJIi+kIh5JWPagDM/3vB0Ar31icW0ecV3yEAiPJDdICUmyXpbnEreyopJEueczqtGWZlU4l9YRc7YvgbdWMoKXzvq5zPH2pET7k7WfAGQmwZfT4im7TNvsCdc0d/Xxid9Nst3qZ2kLVbhBlywpAl7B/OQwyCTbrcOwrZTUnc00q5WM+wgP3wJA7vQzAqWNLDlcAxRP13iKaVokW0neRzUHzvbFHD+nSOzU3XzReAjbu+EWf2duEooeElN0vHS5JgPfah0v99J30jCl4GBb57HYuUYKnY66Ulx4ZxXR3AmpZE+oVJAPhogqTcSVFtz+OrjfBOuvY24u670culkPEeutSiFWrwrWX0c0dywDvOoqNBk3lqQuVdzPKvorbw8dbiWaaHFzWZL9rz4rPdWqHdsuRcOjIME2iHrHZf03Wr4+95k9RmxPuGnEHPMKOJvjL1eCh6hsUsNTmjvG5LOqseP0r0r9ucFmCgw5T8/DuWwzY0Oak8owdQgJlZsQ2+NE8nOYOY4mhb2TWy+Ze5LbMDif9rvRItRMq/Nr0KdLI6k5WczOVNizxVy8JB2vg1BjsR0Ar31irH8VjI4BIcC6lxF1jiWcDnuBo5YopQZmwnDh2ws+GxmZRNsXJWfBKJkhLDe7Xf9RDNNJySQ/pyctD4WRPXp5cpPjFKNlPIwCTsvU8824u9RlSxK1aS8ffqN7KDorSsjkptWUpwpGOr1oSOV1Xm3nBGFtrhQhsk84rgRkJBolC35VAX5GCMjmBXArI5IVZbb2t9Jz5wD7RRSa0eaTijSXZesVaU8RlfSQ6U9rzwNRiLh9DchwGyQOJI+GUNBxV2rrxYEEo04EEvTBRl2pku5UgP4mqCWGS50skKX9dfl76kAwDyQcI2TpYqQXVTbYBIlG8rwahMYBQB3QzfNAvZPKDAgO4VYhhl3QcJy0a9CeQxALsO5q4kkSG5cmthMUGDUtt+HSoesCE4aXW3tlzPHHhpb+oH6XZg1Ns94jrHCd3m34dQmG508mwIyGw4QLJ5gn28z0SE3hQdFRN78pKpqjFKGdhMOM/l3hOed2sZwaosPUDk0qsJyUQlKbN3dLjhM9v9PhqyegKoSAeAngSUyotfo/ux0Ar31icWMZcbOFUSzgtaSXx92Rk2ZskzBH2QUv6sjsJNODFbazGjVmJlVz7jiGXhsVw81vk3C5zfUwdqlxAQiYtEBqE7sseWMbLyi5U2Y7JXNj5+ite7iB2QBj4Mt2Chy5IFecfIhVSzXMYo1dhmov9yRAvrVjeJ+Yh6h9BGNBUWsfySxQk3grUV9lAc6fwlBIQBWoIsHb4wjHah2QVhZkRHPZfgoAtJIuvvYimznO2P2bJWUmebbGloyDaRXtbTQW36Er+2zdryPU44sQ0P6G1L9qHYHmxXMQEAIIvwUWjcDdCthgA+NKev+8vgASDjBoZL18o362A0ZL10mPlyM5cWHrMJjBA9Pr0qi5Ai8ey2sp8C6cilTOd6uI6wtwtOaX3wT3G2BuJRNO9SgBF5K0LVzpiXNLyPU95MFJ3Qr9RY3J7Wx6KTVtzSfpsw0tMVld99Ak3Y941qdZWTY8Zgqg7cQMnbnj6PnzSRZptbaQ1JfVc4RZw3poFbQ2igXAoQRubQ49ZDeLdZYHCbqWJO2t5ZX4LRu2p0vPmBimYvFHN0J5kzqJxe/KTdLgkMxQr+woALZHMeoD2z92ALz2ibnrz8INGnCYJ3fGcQCyJYEXswiutvAe8RVZeCfl2HjWJOGYIOuFR1A7eibrhVp7PnM8dSd7sBwnTyIt4m9kzjea3dsEAHRGInqnBOBNA4dFZod5pxlV4MJTQJV286GepSmJCEVG+rvb5V6/IM9NusazRiHc9WfBvIZ8HjPsYiVR6Iyz9qJMjafdS6gpoF1VfSisOhCXLoBYGmfTwrK2t82s62cSm6npPZ1Q284vK968rsJDhk5T9aQq4jzuw9uS4U+yeQFiPELl0E3w+2uqfl8A4VTA/bos06P+JqMuquO+JHhfeAJs+QTE1Qug86cz125ZRbKdtafleCUEbPsi6GAT9NCN6bOq9ndH3aR4vfYIJX0vCmW5oDV536w1DzoeQIQBaHs5aUdvaQmMErCtK4D2PpZwFGtRvk/Z9TbNUJttZh3SZJQaoL5mAYSiWp51yzOVkQBRx7cdH/TyWTSXeZJ4Qbe3QVTfIPV5kGgMx+gTnj3GgtQTR8MhIDia1gaSDPL3p8N9dNSdunmsbp8v/R6wPIoWV3dBhVHpptpsrMpyRRU1zOjVc/L/vVdPToJz8ZII8gfk+mI7AF77xOKLTyOu16RSchxLl7rii/ChLQZohQHVAkNbKfgJv5NVnHZWUm8Ej0KQS2eT0AUAOEeyC4gYl4QYikJlV1/Mf2Zaa3JoqMz4uW/PdDwtUXiP9iDGSm5720zH6/tNBCwHeeDA7CoBuzCxyzqTo8OyhI3pJRXUAXvqi4nydwa4c0unSb3bndZ1AIDqY19M0ts3r5Vt0Q0iLJ+4DZG1uLFH/iJ/P7e9O/m3+8DvZ74zlcMnVT6Y9DnpTwbykQqzmuVy2FUpWhsdvU22BaRGFXvtO7E9iiVQ/s7fwFlcQbz6AtjSUbmRUZsecvpO8Me/JPWkghHEM98GPfNmXO5nF8+hVZxuqb4AxAHC5groYAvxhadwtZ3qPTmqGPn8s3+NcPMKnEMnEN/wffLZv/2w5DL1d8AWVhIx3/jqeSnu2uwgeOIrSTtebcSIhcD8s99ONa7e8g8mtlOuLiOAcMXS//vyH0/8PTOU4oneqJnivHH23UWX5RxhVjywx6uZRRkrDTG2cBhxbwti9YVE0JWP+sm8x5odqXJvhjkt4Vc+SPtLPJTFtp1DxzPHFIk1674fH7u5lO8GAPRbnyv9HgBopWRjqDQLdQifLUiPmFiTAEy3p92ur6QJIV5SuPAg1FhsB8BrnxhbOQ3WbEjyKFH/KS8AsV3LVmfWPCKTc+FYNQ7NLEXa3IFwK2CddOdkDw9SsTJ0zDTxgjR0Mi2UWJKWXmbsyHUzHV9WrJvtopaabbSgnl3p9a9VYofqWkXkcL6HDM8irliRPfqi9GJcv2Ls8IM+xLGbAUJAwiGo6em0JnF9nbEK1bjHrk28mSqpEVujCBSbeQ/GsRthmw4HAQC1FjqxkpK7icElMnlYdDzB01egkq/N7eSBrU5IYdsXQFTWmFutg/TXUVs6BNpfA7nuNeBeHU5zUfLhWhuSC8kjkO5lkOvvhPDqYP0N6WUabKK9WJ78QbvbEINtsNZhoLcO5/DpjBiu9pCxYzfAWViBcKugKtRIj1wnSfndqxKQaM7nketBogBiuAP31E0QDfl+qg5BLIgUWNWE7O3JAqhF2nBsO8u7Iyv58LE2vpDqVmm5GNNjRS3ivKu9cIZYs83VM/uUq0oSxZ2jcHpXIQyJHdbfSJ6RV5pwe2sZb5IOtSbPZXrcKQW664lYcHK9ekERbPU8YrSd8RQXGV2ZnjRT5jXjal6lTZWEoD2/6jdaR4ywV5HjxV8ix+vA41VoB8Brv5gQWUAleMopiMu5BYnatOHJyPERjImIxCEEc7KhRvt4C6SYXpK9KHKJvSoozApSyjhZeyG171I/S1vCldP3URQSm/GcAHJ17ybZYk0CJzpMQ6TCqyUhE5n9ZZRPsdtLJVzoWxTBCKQqj9HZeC3fAekN87zAAnBITI6WHSI3s3DNdjKlSSZ5vCboe5m/sUPyAADmgQy25GFhANAhAi4gXB90sCnDimrxJ3EAIXwp3+DXJdhxKsCoC8FjEMdNlOe1Xeha70lwqV9GqExKicYZtXstP+HHMfiwDxKFgA7bD3dABQcf9iEoTbxKhEfpMw77IEqVPRayugDv76QlvMrC6wUitDankoYl/c58Z4Sl91b0PVKvrQn8i8KPyfHaaxeHQDQGMY4nPErmBiK47KfmuLLmDbOvCk6lt8zq+0U1cbUHjvAIbBpVYReJOGVyN8n8r8Yn4Sp5wLG8iXvYQB7Y/rID4LVPjERjkMgBuCMnaR4hOKxqm9lcCWvgcTXpsdiYGCyvmBlWGB+5Fd65ryI2+Ef8pqyqeECz4MAEW1rPKXN8XL6z2avLuf74f5/peC2UWWRxiZdkkoWH8l6c3Zh36TsAJngVtiZk85XYtDCHttWu9BxFN6Sh45i6oCIGHWwibpwENTlej2ULJY9vkerij56TgOnEeCTBAIAnrsqF4FurOzh96225xY11L+fu56qXep+W6NnsMxnE7SIvKoCJ+nDDAmK4tgpV2WHGuHG2pOcn6BxH0JQeL9+hoHGIZ9dGEJ025hdrACGIWyvwzn9ThqZvfjt22tegLkbSy8U8hCfuBP3W5yBufxe+ciHrfTi7nuXfnLntNrDuZayFDg41loBz38KLLB2nfUW0P1PrgC9di+0obVP/5CG4lIAdCrETM9QVQ5yQdHizeJxsDh55Zgs74wjHb3ormPJAUTF5kS7iL3ar2RJXrZJMPhMsC6E8bIZHh1oSM3oGMMcECbKUBhNQ61Aid6sIT7wONBgkHtDYrSb9h3UvQ3S3wE+8Nr22xTeMDUDJ/YbkwVlmZ+kCwOBmOR58wjEW5fNHbTCdD2pmMtqyPAkPVm0M4hUZkmZawV7Jf0SVvfFl92IHHK9Xxg6A1z4xvrMBzkdSw4hSgLEkoyYnBmjtEitXJQdgsJLWFfT71iRgTJKsdxXgMXi/mLgMAJ7losqU/yjYtLlTMm2m4LLJNqOXqpSbNpq9uCwdlehFFR2vPDxC7Y7ZZp5wO2sZIqAY1BRZ1e0AANbGKTherMRwNl8AHXXBuldk+SBltlfIG8v7H4RywY6315PkjlFThpZ8h2EzAHwrC6xdkIEYsDSUFG9nw7aO6rcAMvdkLpqTSgNVnMlTlx4fpmeFqXPGrRVUVFem4x7Gbh2jaASPEbDeGkg0kir1lEGMR6DDbdSbPkjE4WxdhGAuxNxxiPFIFr+OyvsnCYfglRYYJzKMGwVJ2wJAmzvqXrZA+xtoL55OytS4vSsydB4FaHk1cCK91t6lx8Dr84haK1LaQomWbo4ijCMOf7ydtGG4MDn8ZQMjIJUM0VbEUdTmGO870ZoyQsbEkm+J1PunRsJEDvwZm8pQHe/urAJuRSYm6PHl+inRfrCFqL+TkO0BJBIoRUYqTcSbV+BUs969uLuVO1Z7eemoj4iVC6Tuaq7op32bWFUtkpq7CnDqLNraRamtRuZ09vqrJ+Ql+K4ceaW/P7C8HQCvfWK0vQDabEiOBKGA4Alfwi63Y2tLaVE+s1yJb4eBDDkIUWkCtQ5YO3Wth5bHwRa+M/9iBWqezmhrwpOp6/t7K5JtEnF3Y6KkADUdzp4NFM+oIyZcNSk2dYHj/BCzpTp2dd5dcrwuvCA9BjeFRsaZ66DJPOk1oyyj32a3L1ffjSMJpJ3lo0Bb9q+eIpJf2B4iiDtgVjcQLP9cpieUtbNeuwy/x8jwMjletkck+bwkpKwXYFP7THsMBzFBI5ZeE9pfR9iq4Uo/QD+sokUohNcADYfgtTmw9gKEElDl1Ta4X5feJeaCNTsIKUMvyN7Hi5u2aGgbJA4wjFyAAbTWgsvSTUwCwgiBcHzQ4RY2lJdwSYfVxl2IOEToyD7A6/Pg1Q4iLuCOu4DamD2/PsAwiEGPDxNvZJmAZVHpry1L6mSp0Zn8e3NO0X3amBtsLiObk+PPBEg5HTkj09VZlv+O6wuyH/AIscoapuEgAZe80gRbWJFVGfS1LekS87wgVB7fyGZiO8t5QBMrvh2vtBEGLx1FiDmjooTVh2PFw2VqfteJG9e0s17IA/vetwPgtU+M+3VZIoJ5EKpsyKaQYEhYkyEh2UW41ZADtmdoCM1ZadrcAFZ94aLl10GMHd/GsJw3YEYXi8KKTa+AmGrYRn9vJK/TNsl/ivGSupa5JIVd2MVgtqSAo3oXq2NBBSC1LAFgku2Wa/a152QY853XZkFO1DkKp3sFUTM7ifuWZ0B7Eb5zUXkirmVJYsYXH5VyJc+v99E7cyhXBqpIpysYG33FCvWa92ICBDOUHU0ADm6R21WZ5vqYoJkZ7afFRXm1ja1xjBe3hniAC/zwUYawuQK3uwoIAVqtI1ZSBX3hSvDaPoJRLNCs1nGlH+FSL+t9/taLW5m/n+odxnVzLWyujXB0vg7a7ODbl1JP0FJdjss3HJUyEsKtoKcW+EXmpuWP3Ao21Dyw1FpBdxwjCGNUvDrChmzHZ9cexSCIIbzDieeoWwIWnAKNrtCaB4jlFTIto/GlxlaGXG8lpmiB3Yykgl2qzOhDbFt6eQVzwesLYNthEpIWgifHCurAcV/MzHGlJaUIBWUM3CLgF80PY63LF4kcKLVtcRebNDOknkuyURsXHa7VU4gGyOtC9tuu2F2G88thB1mNr4x9V4HXF77wBfzGb/wGHn74YVy6dAl//Md/jPe///3J95cvX8bHPvYxfP7zn8fW1hbe9ra34b777sP116fZUM888wx+8Rd/EQ888ADG4zHuuece3HfffTh0KN1JbW5u4iMf+Qj+9E//FADwvve9D/fddx86nU7p/T3yyCP48Ic/jK985SuYn5/Hhz70IXz84x8HUYvpAw88gI997GN44oknMBgMcPLkSXzoQx/Cz//8z8/cFnH7COJWS9YRE3K9pqoo8Y5VeLfuFnMNTA5+3MguvCGM38QC4dxxOMYkYNO2ykLzRcBLF1CeZONobwOwiCNVerxdY9Iw3z838/WnAVLbDi+qxaCmQhQFmVCjPQw7t4BXV2SPPC6B1M73pyGmlsfAqAAp4InZ7avJ1c+sSfkF3D6XCI4+v/4oAOC5C10wmqMRIqrltdziUQpMqJU1ZoIq04s66XPTrgwn96elmlwATTA3VGKZQSzQU+WQDvlNsBHBt1/cQnC4heimEwhjAVZfAGcuHMoQMx+cetgaRKg3FjGKBWIBiLmjCGKBYZDtH1vdLBC73AtwtKFkYZiLaP4E1p7cSr6vqkoDUfswCI8RgSIOZJ+JW4cgCAHx6ghBIay+GAvpMaLKH31lZ4zRMETUXE54oKPBZACyVdC09sxie4VMG9F0/tBtbWax+bVsf6upihd2yTPTTB5Vo9YBIMVqQwGQ+gK4AqJciCQSEHMB1j4ka1sqi2h2w0QNnz3hEdhgM+nXyf3amnZIxY4ZIdNynBIh69JjzPwp6zvddJV5OQZ5X36QiAW/DB63We2A4/XK2HcVePX7fdxxxx34iZ/4CfzQD/1Q5jshBN7//vfDdV38yZ/8CVqtFj796U/j7rvvxmOPPYZ6vY5+v493vetduOOOO3D//fcDAD7+8Y/jve99Lx566KGkuv2P/uiP4vz58/jc56TOyk//9E/jx37sx/Bnf/ZnE+9tZ2cH73znO/GOd7wDX/3qV/HUU0/hAx/4AOr1On7hF34BAFCv1/HhD38Yt99+O+r1Oh544AF86EMfQr1ex0//9E/P1hbCBRMuIgVgYpESb68OrMW7lp1U+mF+QG5ZPwmMTLZxJNCIBTqGx2HUK99FeUZ4hOemDCDi5cBgt7UGbRs6synXd4eTPWuHq+VeuSJr+bN5ya6qxVG/EbeA0B/uIStpt8CVKIDmGnHAIBYI4hiMAAEPM4kSi7Usf1B7W5oV2cfi9uEEVDfUZ5W6i5AL+BbyKuqHJnCyPWIXjT5XYRM2ExN2zF4JENWeCRN4mXsFR/22xym4iHG4XcWhpo/tcYzumKPtU4RBjIXGEjaGkRQlJQSbsYNhGIMSgkZzGWwELNSznsiFdtbrsVhzEXGBkHP0Ao56dR5VLw21zVVlmw5CDkYIgpgnC3A/EhhFHC4FCBHwlbT+pV6IZzdHuH25hp2AY0e9s9PLDWz0xugFPGn3okQYbd1xwfuyXkNZtQFzs1UU0rSrNvgK+Jtq9TsWmKBIz1lVtT/P9yK4lMB3XHRVaYpOhSFS/E8uALd1GJtGYkIvyM5nZvYpBcVcYxGrVpWBo1a1DwBQYvuIhcjU2Cyybjh9jE7y4AJphmukwPhQZZT21LjSY7NonB3Y95Z9V4HXe97zHrznPe8p/O7s2bN46KGH8Oijj+KWWyRp/Ld/+7exvLyMP/iDP8AHP/hBfPGLX8S5c+fwjW98A62WXFQ/+9nPYn5+Hvfffz/uvvtuPP744/jc5z6Hhx56CG9605sAAL/zO7+Du+66C08++SRuvLE4a+33fu/3MBqN8Lu/+7vwfR+33nornnrqKXz605/GRz/6URBC8NrXvhavfW2aSXPq1Cn85//8n/E3f/M3E4HXeDzGeJzuind2lFgeJWCUIOIChBAQCLTUZBHx7GtqTwAD5iKV9xSk3600HOyMecZj4VkzbsXJ/t78K4jzE9A08vxuPTa2zeqqJiUIb5q6fpHVJngXJ5k+XLdH0WS9l8KxvrO79mvOyXCEDRh9h4ACqLq0VA5Eg5JbjsrxJKgDom73rSp8GUQcdZeiarVN0bpUcw3gxbKcovYuQr9FwBUARiVAVC+yodEpdQmZiIvEu+tQAo9RvOnUHK6dr4ERgoZH4VCCkEuPStWlEmQ6RII945l9RnG0mQVah9vZUPd81UnaVP/02Fx6jP69QwkYAUKejhWHEjAqF3wuAKr6dttnuGWppr4nmFfHnzncxIUNBx4jyTN6JRuioqHF7Q9LQtye0ZNireOVmYOs66kQoznXeFaCRkZRR2VWV0Fl8gORWmWAbEs9x+nXbM4xFevi5nxICSD8Bmq2f69AukZ/wihBTMvH7W6mCnOetA/XMFBPD3Oq4L0+ru0rZfvx7NnZe7UDHa9XxvYtx0uDk0rF5GkweJ6HBx54AB/84AcxHo9BCIHvpy7vSqUCSikeeOAB3H333XjwwQfRbrcT0AUAb37zm9Fut/GlL31pIvB68MEH8fa3vz1z7ne/+9249957ce7cOVxzTT5b6Bvf+Aa+9KUv4V/+y3858bl+/dd/HZ/85Cdzn1f4WP7HZK449yqgilhca2YnczfKEnh1WvfYTb1DrjXpmQuYH3TR9ptgRgbSfDXLd6C2vo7hpXFreR7VtPE1npL9NcmqZDbvkF8t4WQFs08CLX+2Sc6xAKYt/SGPeeVqrb3jFhlib5gAwaGoRn3EfgNs3LMyVLP3wlRm1Y1LMmRL4gAdNQZOKcDwzpuW0fZZDlR6sdVnAMReunCTcZa8PFczi2EX63IJUiwz4fslgEBlZpplhSpVCbpDLhJA4A3WwWoLONqqYK7ioOkIqfdEGajLQIMBGpQh9nwZ+o9D1AlXulIcDc/DyU4WeGnAqq3lUVQYwaG6iwoVIOEAi7X03jtVOQVXYlmuyPGboFX5TiqI4HounPFOwksDZNZmXGmARmOQKEze57FWBZ2KK8+lnp24kz3GlYLahDkP2YSSTfLe03PrsF+mv9taWj1VgN0glbeq2c2QKX+h+0vbr8IL+xDUhVeRbeeF/TST0vFBggB1Lx37VSvrlZnkespARgN06tl5jAR5cn27kva/aZuwajQ9ecc365Bac6yv+KF6XOl+WlPvKXmnzqvo8XqJwGvqwvA/qe1b4HXmzBmcPHkS9957Lz7zmc+gXq/j05/+NFZXV3Hpkqxh+OY3vxn1eh0f+9jH8Gu/9msQQuBjH/sYOOfJMaurq1hezmeFLC8vY3V1cgmZ1dVVnDp1KvOZ5o2trq5mgNexY8ewtraGKIrwiU98Ah/84Acnnvfee+/FRz/60eTvnZ0dHD9+HHSwAcokeZTwCCSqgIzlQHYb2cUxVxNPTUCeQagn1oRZNQitdLgNT/BMAWJiZwEZmW8AMqrNXiMPHMSUTD02o+dIGy1JCy8yUlDAO7E95DaXkbgLrx9kJ9NMNpWyyoyFv4Hp7avtiAp1tYzQConGSZ8h417G42VLk2ge2DUKZNH++aTdTs9Jj1UYC9Rcmls4tOK6aS2TV2bx3Uxx1YzKufGeJhVJd/3JXD7dd03RTKaI1Mw4Pw2HcHmA5boUQqWDjUSYs+o3wLqXwWtzcOIQgjry+VTGMR134S21sFTLvpfTc9kNjO9QkHCEpZoPEg3Bdi7huvlUwV97r+ngqlxYCUVdPTPtb4J4NTkPRAGgFmYSDGTmm+Ag4QhEuYlOtDsYRVxqXSkA5E7QRwMAp8CbSMNsFumkIuX5H6p2MKUO7CxX9T7Md81sgrtxfd1nXebJfisEPDW+6WAzSaQhcSCJ/LUU0FFrvGTmQ+aCBH1Q6/6KntXT7bcLIedptUoBZPq2PcdWkvqu8j5qKnlBjyuiMn/pcDIYPrDvDdu3wMt1XfzRH/0RfvInfxLz8/NgjOHuu+/OhCaXlpbwh3/4h/iZn/kZ/NZv/RYopfiRH/kR3HnnnUkGDVAcfhJCJJ/fcssteP55WST6rW99K/7bf/tvhb/TbnT787/5m79Br9fDQw89hH/2z/4ZrrvuOvzIj/xI4XP5vp/xoiXGXPWfI7ObmAdCJqhz2zvJotT6gtT+5DmoA1Bn4qIGWLpd2Jta/cthtsjg1ONLAArdg35WrgLA1B/YmUp5z8xuQVTpeSdYEsoouG9BaF581wKq+r0HKjQnKs3kGaaRiwtjV+ZCY9+T+feEdp7U/mUK4EVq6HqMyNCprggh+wMXamPOHCAOIRwp6cL9plSrd5W8i+PJxU+IJNNz2rggQoDwCILJDRWvtBPeUO45FZCCHpfawxEHUm5CqH7DYzk/hINc9QD5XLvLeitqW3vcl2bTmhp7RP17FyLFGR07e242zpkU4SYyk0MwN3N/+tmFPtYcVyXjRRAq+7SdleuXbNqQb5u9WKYIuP1l4sHzij+3/v9qGBciAfZ7/f2B5W3fAi8AeN3rXodvfvOb2N7eRhAEWFpawpve9Ca8/vVpHcJ3vetdeOaZZ3D16lU4joNOp4OVlZXEI7WysoLLl/Pik2tra4kH67/+1/+KUJWzqFarye9sj9iVK9L7YmZMAkiuddttt+Hy5cv4xCc+MRF4TTLa3wSlIaAAIwn6IF2pckztbJv+VuZPojSetIcMQHIebabyOV1/HnzxFEhg1NELsiBP2H+P078da1cMTJc7YHspk4NyvaZCG0929+v2nMXYjMArs1gAhYsgm1R/sPS8tekHAWiq2n/u5SeTz0g4BBxfeW22M23KY2uxIXI3XXVlxhfbWU3AWWvuFABgvubCW30i038AQBQkL5heADucyFXWmjxuK/3ClEKZ4HGhJbpmehyYSuRaYsLZvgihvWX9TbijLhpLt6EdbUmFcEKAQYx47hjYcFO2WV/KaAivCvAIZGcNxKuAhAMwK1P0eDv7npyNcyDBEN7iaSmmSxmq9ZTrtqD2FXRzG2LUA/Vribo5iQNZqmi4IwVddUmbakt6tbpXQYyiywudFRlK3VlLPF5sZ7JXP5o/mfvM2bIEf0sSQTLZiaqfF3l4tel2zHxWyb5fs48kfYdQ6X2sNJPyaLR7JRlrwq9LD5ihmi/s0kcZj9cAZLiTqxNZ5PHi4+bEe9+TmfOJNbdpOKXHVSLHoeYSfX9Od3Y9wr2aEC+R43UAvAptXwMvbe22nKjOnj2Lr33ta/iVX/mV3DGLi3IQ3X///bhy5Qre9773AQDuuusubG9v4ytf+Qre+MY3AgC+/OUvY3t7G295y1sAACdP5iegu+66C7/0S7+EIAjgKZ7K5z//eRw5ciQXgjRNCJEhz+/Wome/jaheBZtbBigD722BzUlXs9i4lD3YVnPXk6OxkMXnvpM5hBrZa6SzBDz3TcSGoCg9fn3meNQ72b/NtPKt/GTOC1SfTXMWJqeQl1l0+cXZflBWjHsP2YTEUFTfjdGr5wCkKu1sLh/mjjdnC58Cu2+/hn8tAEvccu4Y6HNfBwPAuxvghoI/t0RlaV32E/ekfO54YxWAfN9auT7mAmAMcSebBSbOfiV3P+K2u9NzP/6FzHfEuHZs3BPxUt4UHxUvMtSbrJnE1XumJgfphUcAANH1bwZ95qvymt0tONfejl7A0WnMgTzzNRDHAx/1QTcuIR50AUpBK3WI47eAXj0HMexDOC7izSugJ2/BqsiGPNcH1tj3AVCGgPlgXhXxk19FdGtazmldHX5o+yqI60KEY4xP3g4A8J74H+BrF8C318EWVpIizGLjEojrQXRWED76xaSPbfpnMI5jXHPpXDJ38OVrJ7YTW30y91lw+s2Zv+m3Pjfx91hP5wGS6HiZ/EFL6Fl/Z3zOLL3B6Eo63oUayzQYIe7vAHw1EfyNttfT2p+OIgQYVRj08yfnGqeAMClgb1XuiAsU4UVwTt7yzW/LfZezJ744/ZiCNktMtY8en84R2U/iq1Kbj6v24L3ZK3Ds1Q7I9a+MfVeBV6/Xw9NPpzUEn3vuOXzzm9/E/Pw8Tpw4gT/8wz/E0tISTpw4gUceeQQ/93M/h/e///1417velfzms5/9LG666SYsLS3hwQcfxM/93M/h53/+5xPS/E033YR77rkHP/VTP4XPfOYzAKScxN/7e39vIrEekBIUn/zkJ/GBD3wAv/RLv4SzZ8/i137t1/DP//k/T0KN//7f/3ucOHECZ86cASB1vT71qU/hn/7TfzpzW9DWPGijBtpZgvCqYNU6hNqx2+ri8aZVZmNJckZMr5Vz+FTmELM0jGAeiFdJSsHozzLH2x4q08VfsOg5y8dzn5Web7dWBqSK7Ma7Jn7Fv/JfZr78rDT4+MjNAAA6J3ensQGAEjt808z3sVu/3zUD1V7UWGiYByyfRNg6DIc9n+VmbWRBNDkm700rAYhgBKhFR9P0Kg6F4JWcF46efi1si41+w7tZDoyzkvIkM97IZuqJIFeeL3pMYOV08edISwURYzwwpSEVMg84dAoA4La74MyTWW6EgC4ek94VwYH+JihkRQleXwAIRXz4DOhgE2TzIqjyNNlBn5wqBnUAru6DULD2AkyVBd2m4ugZIBxmwl3i6Bmw4TachRXw5nLi7SGdQ7LQPXXgXXd7MrZlBiYHPX1HKiRcFpZqLuY/s48vqdXIjt2Q/kx5csxQGrf6Pv/O38jf3ZSO0cjilpoLUrR6DgAQX3MnnK3z4JVmInrqGHOQcCrgay8kwBTIVi0AkKmAQChF9My3wW54feYY8fyjuWd0Dp2Q90KdnIcqd+xSgRyFZaZuHt3Ojj0tnEpWnwEA8N6W/PuYXKfEeQmUxS5DyQe2f+27Cry+9rWv4R3veEfytyad//iP/zh+93d/F5cuXcJHP/pRXL58GYcPH8Y//sf/GB//+Mcz53jyySdx7733YmNjA6dOncIv//Iv5wRMf+/3fg8f+chHEsD2vve9D//u3/270ntrt9v4i7/4C/zsz/4sXv/612Nubg4f/ehHM8R4zjnuvfdePPfcc3AcB9deey3+1b/6V/jQhz40c1uwzhJYsw4QKpWVHRdYloPeVjimVkhHgxpuYhuLR2SGfLhXBSgFWUwnihzwskm5hsu4SJZBTFFtnpWrpY1uz+YdKivx491w58zXj4qAU4nZyvmiQEl/UgZfmY29cv6JNqqT0o33RaKRXNAJAfcbmRpxxNvK3q9WBtfnO3lL0qZaPogLuajafUSwPEg2+Tz0zBsz38XGokuNezL7El3Oe6MBgJf1NxXuMhdffU4SjSDU4s2hOG5cap059XnJAYvGYDwCHE+CrjiAqDQhvDo4oWDhGKRRfA+2/EXcWAKD5PMI5oE4bkZSICPDQiho0AdV7UKCfqpcT52kLxE2lorvhEL4AYTKjIy4kLIJhCZ9LG6XeGwLFnC7fiM7dUvuGPPZtOn5o4yMz258gzzWmM/sPhMb2oJUAZG42gYP+vJd6VJIzUMJEZ/XF8AYy/Sbsr7JKy041+ZLd9HjZ/LPqPqKYC54SUIHAJAJdUWz92H0cz8bDk2AnepDRJUK0u1F1YaBdmenKuzVOAfISxJQfRlv5m+REXEQhP2u2s7ODtrtNtZeeBatVhPcqyMSgCuihKdjgxZi8a/0LsrZeCH5zN5tRsYE7L7wdcQrN2aLylrlPWwCuEnELVpg91IGZzc2q6esrKah2T67NZt8vlvTCx7bvpj/bhcK17Zp3s80+/3z8r396Il0WAvHQ1ztwNm6IOsBGsV8hZVVphfOR9xTAIBbxYVkQbtakeHO57fHeF1lO9fWuUxYyEVOm7OZDRtHi6nXKrMxMACZc+Vs4XPa/ds0XXg54UQBiI6/Rt5jNEqekY66iGtzuOwdwpIXg+2sIpw/CXfjeQmY+usSiMVB8v9w4Rr4578JXpsDHW7j6mIWmKxapbFuJldAggF6izegsfE0uNfAWZHywg7V5ftq9y5Isj/zEvDhrJ+DcFV2s+H5jatzcrzyGETwpC2exCGEnOM2bobrJo/LqACU2cDLLvtjWqYfq/CdricJSLkO09hQvuOyMW3yxpjim/HaHJytixKo6/AcoUkSBXeroEE/w5/KbXjMjUg4AImjHJAqLF6vzskr7dkTbYrMzNi1xWkVwCLqHbCu7Mc6pK+Lyu90e5h77Q9ie3s70a98uU2vS7d+9A/B/N3xS4ssHg/w6Kd/+BW91+9F+57geP3PYGz7IhhvgDIHjkpZ511J6CTz2dIWfCdL9GRjtfNrpTtQYpHMnY1z6XdeFWz7EjBMycfcLg1iZ/wYkyUtIIcXLbqmxQXlanZjObLvNCvJGLTbbTfGZyxZpNPp3dXHAeSLAAPpBDqL2XyqSbZQkwugMITcBHXgrT4BXp8HW30SIjS4MHYYW3kxXFW6hXa3EqJy7MlnYYRAeNXcou6sn8vdDzffez8banTH306PMziCrlFMO17PhmOSZ7r+jYWfy5MpDo9R51N7R4RTScA02bkCNBYRC2BEPDTCEfwL3wavNOFsvAAS9MH7XfDjt8qMx5DB3ZChT9q7irh9BLaIeFL0Wt9Kuw3KI1ACcLcG1r0MYbTJUJ2gE40AzhE3DyXAJAnlDncQr9wAEkqgoblZfOm0BPYXn5LPc/QQKCEZYMNtr4phtMDzGlc7mb+dtWcm/j5j2uNleJqYXQdUbRiJ4bG3AbT5G51wIfwmxKgH1BcSAEWvPpvwtpxmR2Z6mpEAWybFmA9FpQn0NsDs7NcCD6CZADLN4+Wc/3bp9wAA4x7t5JTkcyu8y7YuyOtvSSD2anK8DuyVsQPgtU8sfPJrCBW5XqjFW3MGRJydzHOFawtI42LT4g8Yu39x6BSis19HaBDXK2/Plmwq5YYUkdSnpDjbO+nd2ugbX5h+kGH+LZMX5ME3vzTz9SuK6Lxbc1QWGdfk+qJ22cPOmXbzmblFxojk7ZicFrgVoLeeKJ+bKf92+1bu+D4AgNeRXpf+Q3+B+lvukZ8xrRQuCp8hWruQv6HllAfU//L9ma/qb/o76R8G0VgYhPoiPiEAsK28JzH5verrJnmZvij5O/zE7XDUb/l4mOm3YuMS4LpAbwvR5hqiS8/Bv+G1YFefQ7x4jQQCvXUIyjD42v9A5d0/nqtxmqsYIThApXo94RFGD/8V/L+Tesl8RfgSV14AqbfAeAyhwD7ZXoUYDyGiEGx7NRPiJ5U6QAji7fWkjVxK0A9ikMEVEE3ELvHYsgt5ThOO3pr5s//QX0z8ffWWN6R/qOuZT8+tOJMef9Wb05C/Dp8lv7l8Lr32k98EANTe+IPyfntrEGqTKYb9pM/Em1cwevzrqN351uS3NnFdhKk3i4z7GHzlL1G9LZtIMHosnxxS/f7/q/wNjwoKpWVNDIuBlGlmUki8+lzmO70JCl+QQNq9RSZ/cXWc5vrOqCn9kkypnLyk3x9Y3g6A1z4xNn8IrFEDWzgie2scJiR6tpCdRCIrK05nNZnkemF5yUz9JsIjsKWjGQBHLQ+ZHQ7IiG4W7JSLuEzZ688oC6HMOXJqpuP5QjEnCAAab/2/zHz9okynMovmJS9Pyx1EBZ6+vSQaTGtfbdvr0qtnAt3Y8QDHQzR3HO64lyFMOysnMr/XIdKREu2qve39iNWuX3t3tkcRGNZyHgB2KN/2kRG+qb/j/5b5zpQeMBfGDAgLigF7XFJDkCZSHsZi21JEcsFTj1cwBBlsIqzNSZXw5ZNSoqHdgducB/ErIPUWRHsFRHDErWU4cQAx7KJ6yxtAgh5IJZu1ujG0vCYNDhKNEHMBl0dgh05kiszrMl9k8RhIHMp7U6F80VwEWhRk4zzguMk7JV4FIgrl3825ZMEfRlxe36+nGYFlop6GN0ebTSPQoKfISFFY35QqsUBf/e4flr8z5qnIyhp2jHdWU6As7hyBc/VZ8Noc+JwMbzqb5xMQRpsd1N74g5mC3ryS9aSZ44EzD7W3vT9H4ah28hnIpibcNDFZ2lkq/R7IhlIdkucDAoCjMzCVh1gnDcQXZSJa3H/1PF6ci5fI8TpgMhXZAfDaJybCEURAwbsbEMEIbH4FVJHr7WyanLSATuU2Mw+tcGBG14ZHoPVWkjUD5DldpVZU8mZKGZxp5PuJl6pMDpUUGdmNevQMZhKId2M6NKrDBWw7Hyor46FNst0CL0rkezRDnNyrw3F9sJ1LEJxn35WVNarBUD9S4bo4SLSg4vk0C47X5nLhY1rghTKz9Bgma0rRRqf480k/KCllo7XcMrx1tfHglXbyTsSwD7FwEr0gRs+jqI26gOsDwVCOBx2yjEaIWyuSb6az93gMXp3LgCgAWB9kgTqvyozIYSTgNQ+BMIadcTqedU1UEo0hwjEIczEU8v00FUARcQwajlMgwzkIpeCEgkRBsoG6OgiwPghAWJDMGcHRyR5b/0I+NJbbFJRIsIiRMceoPkUMMJPRZgMS/TQRGmDG5pYaquxEZaKy7UsQwQiUbichQzHspvNeMAJ4nNk82uG6rGirSmDahSq/HnfjxnTifHVtOoWAGeHMnJSLTmzRY1IDY5XxqzfYzH31dLz2s507dw6/8iu/gvvvvx+rq6s4cuQI/tE/+kf45V/+5UQCCgBeeOEF/OzP/izuv/9+VKtV/OiP/ig+9alPZY55te0AeO0Tu3D9O7HTbOGhF7cRUoHrWQ23LUuOh11U2d5EDJQromGUiVkbZCfM1V468bzuSB3fWRvi9O3ppFy3i9VaQIoaHK4RzWcobo/L/d971Vomp2fT0Xr40uQF+d0nZgc84Yx3fpZIUPzcQC6aty7ngeP9z87ONVtu7G6S0IV0TU4LBXB54RZsDGM0l09mnsg5nA2NdceyL9Wp/P/W/K144EXJBdQBokMND4IEGZI+AFxazstJLBs8lsFyVr5lc5T2mbpRUircxS65F0yOYcwpD7Fv1JJ8blv2/xuDPp5rSM26xaUzqI020PYZXErwbOsmVB2KYcQxjgSO3nEGOwFHEAscIxQvNK8HowSLVQfDiKPmUjQsktepuWwfG8UCfrWDCheIaQPD17wPnUEKvHylP3G2eQYNl2EccxxVsaTzrRsQcoHFJXkfK0QCndXKUVQdihZGGHauSdpiaRyj7bu42roNIwUIV0Y7mGTn2nlZk6MWwbx7YnLo3nx/2swC2PZYfNsRyW8yweqT61luaHs+He8nWhKA/NW5bbz95PXYGMW41JX3d+LwdUnh+GHI0fYZ1ofp/Ty7mfXKmzU1PUawVHPw9UtZAHPHoTyJfFuNh8PhdLBz/vCbph7zZ0+lUkBvP5Xl1T6+Jq/x+qMy6aSjykn9f1dlhOMf3CyBV3dn8jt9uW0/63g98cQT4JzjM5/5DK677jo8+uij+Kmf+in0+3186lOfAgDEcYy/+3f/LpaWlvDAAw9gfX0dP/7jPw4hBO67775X7N6m2QHw2md255EWGCEYRjypE8hYuTcp5d6knzWt4s7DKH3VVMRwGUHVEBQSM9QEsnktQFpzbpIN91gkO8eZmWLL9RKAsocE3jCe7Te6dh+FnMQ7Be3y2sOzSVQAQGOXxbr/9HE5Sb/hSLqAVV0KNo7R9qn8t9Gk9uPNqwLNj16RXokTLQ+HGxJo60Xohe0Rrjm5kO8HBQvxFkmBZ8N6l2aRbbMvEqOvVJzi5/aKOqH1G8eo+MCIKntUaWGeyfNXESKqL6K7KZ+17lIQIv9fdWTBc0YIWh7BiBPMVRiGkQALB3BYFeOIo2sBwK9fyi6KZxaqCGKBIBbwmCxCvTVKgZduEiGAhQrFICIYqnfS9iVIqYoATsUHh/QA1WOi5Cl8VOMARJUge+RKHyEXuGXBRdNXEhNiciYZD/Nk8phZGdS7XDhpwTg92sx6uXUBbm50unYluwSZReb18RVH9tu2AM5tqXfnkKT/jCMCRgk6lXSszVeznlxzfhpGHATAnHVMUWk5vZGJWAOjKXNY1ZneVqc6KbirWn37hoXi7MHvOyHD6vp5XTbbnPhS7OUCXjsWWJxYOm8Gu+eee3DPPfckf58+fRpPPvkk/sN/+A8J8Pr85z+Pxx57DC+++CKOqDnxN3/zN/GBD3wAv/qrv/pdy7Q8AF77xI5UgFYVEITJFHHmp8VRrTDdpLIcZjjRms9Q76SAhHVXcePC4fLSNdbOlxhcJ8/KfAKKJSZM22uRbDeerQrAa5YmD+YiaYdpVumUC8Pa5ilw19HYqmAyv2lx9rDrbrxAANCqyPdgTs40GKAjIsS1Fthwy0q7z072XMmC6N9Xwy5uW5IL/kUlldDwpIeIWe9mqQDzBjT90OlnJTHmDI6YWTC7YXJf7LRBZfWSunq6sLrJzzk1J/lnNBigrs7Pdi4DzUPw1cLecdVvKEXsVOAEPSwyKsv1MA+ER6iyGLS/iWqVg7tVjJzs+73WKpLtMQI3HkNQDxU+BgTPgMm6+veSF4P21tDwaqkGVRyi4vqg3U14RgivSai8n8FA3pPSQFusVWWR7MFmUqu1LMS/VMuPFccqT+aUsKMP1wxvrpZCMGgRC4vZ81MlJ+EbtIb2fHbhM7moVPH7fuBUG87OKlr1BXzfcVXCJxiAqCSKaqUJEnbhG/PfrctZz2NGNNilIONt3DA3mQemLQnxhyPUp8xxENOFTX/wmvSa1MqiDOqyvfSGO1LM2hvmVMao8h6H0fdeVuPx49l59F/8i3+BT3ziEy/7dba3tzE/n3oSH3zwQdx6660J6AKAd7/73RiPx3j44YczOqKvph0Ar31idLgF6igpAOaAcQ5Hpa7Hc9lOyyw9JC01YPKJNMlbmy8MXsVoB8z1M9pdtjaYycMAsqrjpuJ4cg+tw7nPTPP2SK7fDQ/DtLIsrjJNoknmzZiWo8mzOgGhaOGbVQ0fAMguddKuV7vm+sVvJZ/x7XVZ8sbxJYA2Jvxc+6r3eGZBLjhs/SmgJUMcx1QYKWjW4D/zxRyvL7Yy4gCgZsgR2DpIZh/VmkVANm1/0iYjdou9AwASz6YZbtUgkZ19EPH1qXI6fex/YP6md6FFAoATkGAA4dXgjHfAti8h7hyFAIN79WnZxwWXbTbqwokDzBtaZEDeg+PvXATbWYXjVpPaiyc6aRmfulAZmGEAobhHzvMPy/Y5drsEMoJLXtK3/lLe8y1vBR11wZ9+GLjhTUkdwk6lKZMiKE2AEHtqchkb/6YfyH1Gn/5y5m+yMFnGRJhSK2qDkSnaTSxZBDU/mTUSqS3UbAAvnbkqFjyQaAwS9EEVBy3TL+IQbOti5n7sQumZRA6nIs/dyV6a7eQzh+O2HA/0ua+DuOXAKz4yvSJFWe1Xj6pSV2rD7ag5REuyaB1C59UUUH2ZimS/+OKLGe/SS/V2FdkzzzyD++67D7/5m7+ZfLa6upqrrTw3NwfP83K1mF9NOwBe+8TC+hLChuyYXAgIpMrbI5J1JVTsUhxq8grqaQezvdEmr6LRPoyh24RvZP7kOF22xo0xIY6dPFcqmuKRifdI8qrOdWY6npdMErQ6G4gDgJ3mbB4v/ZjMV9UEXiaKw3AKh07b/+frUtLhdX/3juSzyuEIgjoYRAKVxjKoQTsXlkdO8wn/+tktAMDfPX4MgSs9CU+qwoJ/8fRl/Mwb35IJFQLFfYAvp4tRrZ9d2AZOCrCqRsHmad5TAIhKuHeOEiA1let3uDxn68zbEFN1/uYhiNtP4MHntnHjYg1HGi5IbQGMEgxDjtrSdRhxAocS9DvXwmMEAoC3eBqgDH3OcGWQ3VD8n49kN0XXv/0aNDpH0R3HaHgMFAKPXEwB4UpT9pPjzRoYl2WAhqckV8ghQCgAr7kMQSjIG2T92ZC6IASgd67IeUKBrK8+uYlHLu7gX7wjbUteAK60bRYk7M6fydYkLKuy0Iehwq5evWNUILCjwVQBLjNhpR9l+wyj6buvqQzGHjw0WiuImZ9QFmq1WnLNIOaoLl6D0PCujq0YerWaAnUuBEh7BUMvO49W5vObm0CFXt0b3wpOyrdMu2FFmHxdO8yvtcyZIvLrOVtzFfmKHEtB7XuP49VqtXYd1vvEJz6BT37yk6XHfPWrX8XrX5+WfLp48SLuuece/PAP/zA++MEPZo4tCiELIQo/f7XsAHjtE3OCPpyAQjg+mOBJ6RIAYFb2hZ2xo9PndUYbADjI7qyEWUQuliEQYnI8bL0pC8CY3ooiPscEKk5qexy8jM9Wl4yWZGeSGaUh9mKal+KUcJD2soGMS85XdH3zcE5d0GiMiuPn2tP2QsVUA0Z1k+EIrgL2ugvN1TwwgtxO2OP59jUXQ2KFViomcDNCipnjJmTL0pIsWhIrMGQ8W10lnnBCE2kUwiMI4SKMOYRIQzwk5vCYAxKNUHGrEIRAxEKOKSVuTIIRmNcufc+m6ccj0TjDFVKqHWChDBvCrSJSWY0uQjiODzIeJxITABKABsFlW6nvQi7gOTTj7SnLhvVZAVC2QK9TkiVcM+tKqjnB7BJUWJsF9V7NpAzfz4Ifc94iQxlS8+t1gMvn9lUIlY17SUi2whyQ0RBOxQB91oTEDI8XowwkCuBbTUPG+RCeozzNXEz3U5dSN/Q1jPfhWnN0qOYuHb3Wo8kV2f68V2mevZgQLxF47WGy+/CHP4x/+A//Yekxp06dSv598eJFvOMd78Bdd92F//gf/2PmuJWVFXz5y1kv7ubmJsIwzHnCXk07AF77xEjQAxmTRAZCliiRE5Vra2pZqfQE8m/PrKFoASnP4OOQYAAWBUkJD6AgVFjC8WIFHgk6RZtK7HKBsq1MKLPIipTiE6Ozu93snfM009wo7THkdigFs4NJ9atdHfX8VelNMZMSegFHZ7yNuLEsw62m7Iilnh3OnQIAnN+RCxWdHye8r2+tSu/Huat9OCTvLaMFEg+iZkhOWH3KDP1OXEwmCPNyo6afbTp8agIQpvrnjvDQVKr+ZLgNwlyMI5m5SITkR/FqGy4fw9m+gLixBF5pox9y1B0GOtqW+l/hAAFr5eUk+tlnjIVAdxyjG8SgBFjuvogr/VSDrKlI38QZgggO4fjoh/KZq0zJWQQDwKsl7UeiALzSSkRydSWJSzsh1ntBRjqhLCRbp/k23x5nn2e+RPjYrK9ZWDHCeqdJuM94p7TSyZ7TCH3rvkkby6DDbfBqG0yD9XCU9BkCqVdmandRS+7UbBNBfJCgn/PmFfVffc5ATJ87nCnVO+R9GWYd7yoPLe3LrOe66uNkkPXU21JBf9tscXERi4sFBdwL7MKFC3jHO96B173udfjsZz8Las3xd911F371V38Vly5dwuHDco37/Oc/D9/38brXve5lv/fd2gHw2icm3BqEVwP36hCUgcYhhpNeTyOr41W0q7CzAV1jB7juL2GOhjD3o12anaADYW0HjTnW4XkQNQ7KQ2F7FTD2Z6yVaIY/bGtHswOeaZlMtul1gatFaVwQIiRTQhZFNi2Uq+2Z70hiec94HxzAoLaEwTiGV13OhKFrLNvHNJD4wpOSc/Wz13SSvkGJXCi+9eIW1kc8F0ry/Hzx9G0jFHfS8q51jePNsKX5qJPw+s5wcn+ba8gFy3x3GhDHIcemAhfVxmGMYoHHVrs42qpg1K5DVBdBCEGFROCVNnpOC4HKXOyGAq7bAvPbqHRXEXGBJ69mgetXvp7dKIzfeT2qjsxk7FQY4uocvvxcKifCiGyD03NzqDoUg5BjrNxgO6wCFnK49SWMIgFPlf+JXJkl2ahVwQhJEi++8OQ3cPGFLYzfc33yHvmE5AQAcAu8htzWZy/xIJuhuiRMZrwwOyO4LWSf2q6lm6PAGh/tqtEnFBDaGEaoVRYhBDBS732uvogd1ccrjKDO+hgbjzq2xq3vpvNIxAXaAPokG1psFYB8FV2HS3ki0THJ3Pp0sNA33ke1lpWa0aevqjlPhzZDc/MCYBxND8W/XCa4eEkiqK+knMTFixfxAz/wAzhx4gQ+9alPYW0t5YmurMg18l3vehduvvlm/NiP/Rh+4zd+AxsbG/jFX/xF/NRP/dR3tXbkAfDaLxYHQBTIHZGeAJzdvR7dt81MtlzYxwBnbb8CMh5marUxi97Q9LKTkDl8RlF+ME2Ll+91ANok2WlWd0p2ncPZuRGtxdlAktZDI5Fs24pTMEnuoY5G7O6OjHrra+Wurubm39+cT9GPRAbYECuJou5JcPp916vSQ2EPDUUAP9GWneTOk3PwGMlobwGpCrtpDeMYsj2ZL2RuFIjR2yatdWUOVA1Eqsa19a01XIqeWvwcSlAB8NpjbczXXFQQYUQc+IRLr5bqey6V0isVPsYQHhghINEIrCI1zUx7ze1Zj2vVIWh4DKc6Pto+AxmO8bbr0wVaS3W0fQYajTEmTtJmHiNwKQGFQEBScBpxAZ8ReCKCAIVQWjB333IIzx9qghGCmpsP/U1qJ9PqbrZhy2qwmgBeez/NX9esUKbua6aMQp1ZANoIT+prLzUjjKiPSjxEQw/HiMJVYWyi3keFp325QrJjjITpBkBQByQcow7bq59/Vt3Pai6FQ8vnMDYhEcS0ltFxhbX8JiFF5Z0LFACvCvU3e/kJ6dNMCLGncKH5+1fKPv/5z+Ppp5/G008/jWPHjmW+SzYCjOHP//zP8U/+yT/B933f92UEVL+bdgC89omx4RaYE6Xq89RBHTIUI6xwlc2V0S59UVLI2ixGy7pygjLd+naqdO4aBlioFPBGpgEkvkvlddtKS54UWBn/gff3ALxGV6cfZF5fZzMqT0HRZG5LOOzGinh1Rfb+18gstMrWC8lnvNJMVL3bOktOn9fKZqVKTuAtJ1Sd0K1nwJT37hqVXft3rl9EZ3gZpGeB+4K2r5oFm60i5a36peTfmXYyvSwTQGpZPYMkQ9fw6MTNlNC9qPoUHXXBK03cefgElmoOnPWnUXNr8vNaB7S/jpbgIHGAqH0UzvYF1P0mSDgE6V7FPKG4eTGbfPETbz6Z+XsuWAfpD+E1j8PZWQXrr+PaubR+5ZGmHHfe5SdBojEWmIdwWQq8upcfh3B90FEXHnWSucFVBcpZfx3gERzlIXnz8RW85nALlYvfTjZvZUWyWVFY3vaCdSf3f79ieAwKqmdQK4zNt+W5fPJY+pmVKGSa2JLJGNRvoDHuAUIkWct03EuSErnfANlZgxMb4MrLjrFM7VIAYusKmN0229lSbACwpPvvAPCn0CloiVhtct2S7GQ9z2tZi5qqdan/rqgM6aC3t7q3f9vsAx/4AD7wgQ9MPe7EiRP4L//lv7zyNzSDHQCvfWJi7TzEsJYWm3W9JJOQVrPhNnsB0yVDSL2Tns8a4LrCvfzDhRh2EW2mrll6OnsNm4guzGylfoHy+hSRVzKliPYkswvJTjN6Mi9poE0Xrp7FRrXZSgYlIofr8r7DxWvzx1x+cub7CA7dOP0gAF97/iwA4H+5LpUB4F4NzuZ5jI7cDv/5r2aOt+t+itvuBgCce0YCsNduroEtSTDx3KYER3/9zDq+/40dxH6WZ+W+8PXc/WwfTXkU9c0Hs8e30rCSKV9CDC8h724VPSb4qdcUfg4ATAEvkwvD1A44WDkD6AVtsAXeWMJXX+ji9kMNXEcoWH8dvDYHevUcovVVOIdl/co+qaCyeD381ceA4Q6iKxeAo7fhCUt5/TMPZPvrG/6X20AADEYxaG0ZtbNfwSUjg1MnLCwLAe7XwRtLGMSyDzVrczJVbrCFuLGULMzs6nOglCLuHJXlnNbl2P76oIZvPL+Ft31/PQH3vKSmJdu5lPtsqDh+iV0pKHyuzDULmOtyN8YGzuZQhaqvme896mTlKvwXHk6PX1fp/tfdBdZbQ7h8Q5IMYpYGYzurCK9cALk9BbS5RBojpC6cCvjmFbBDWVmc6GpeXoDNSf2naO5E7rvcsbuRqzE9QL3s8bo8mu7zTlOVR9JF41UyFOm9eiWD9rNy/feyHQCvfWJk4QhIswHheBBOBWS4DaF2ZN1mdnKqtS3go0DW0El3cAOL27FseDa6izegdfEbcA6fSj7baWd36jafITZOV3Hy3pei8OPLYSvNzkzHd1uT5R9a19wy8/U3SjgyRbY2kMcfXZCT+vmdPK9sefGG3GdT76O3O37a8+tyUt4WqZe0IeQCfHUYYfHkGzJp7x6yQGw1lFPCi1uyvzjX3IorNenG725LINMdRVgnTThRth9UTrwetvUMNfv26WzdwGguDQ846+eSf5tabNHRO1BkV0o4Xssq7X5g9Mmm8lwKAVyhHQBA48g8Qg48v3kRh+oemvOncIhdxAXvMI5Vu3CO1BAcvgVXRwIOF9johTjZWER38QxarefQIx56llfnscfWMn/3Ao6mRxFwAYcSOEtHERpq97qo9tahGzCKBIYhx6KalS+5S3ApgbOyjF4QJ6HdxslFjCKOiAuQ5eXk87UvnMN3nl7H6rvenHAqKwV8TG2dggLudpamc21x+wNWoXLtmTQ2WHEj289d5fW+3L4uPcaS4zhkADFH6bk9PwQWDt+B9WGUlFhyF25CmylPP3XgVltYYwa53toHcj/dQA1CjpOnb0evnQVTjWvzWbmXqnI+mScMG8PybEJvYRc6Xkb7NhvFpcP0ohwcuQ1AXtiV77x6Hi/OxUvSxDkokl1sB8Brn5hwKxBuBby+AMFcCIPT41up0XY4bax0lioGr8v3sq82NkQLGSWI20cyYTybo2VnBZnJIkUp9A2vPBS215JBaO4uu0WbWSvONlsUdjc2q9SLLk2isxp16RbTdkuULzrvNDvckYub2dq9IEatfQyVkEselnF5z/CSyusofpHqcyQaJ3yx1a707gQRByPIZfTZul5AVrfIDrtGXqrjJQwhUjMTz1ZST681OXSttaHMfqq1o3pBnLlPzQVpVxzMVRjC6nEscAERNIFRF4RH8JgDRgkaHsXIXUKVEtBgCC6A7VEWELfms/fFiOSp6bJBVb+BXi8FjTVXvlcuJB8MoElpJt8haLgUlBAJsoguDSbAqPzM5Nl1RxGYQ+E7NOHbDUs2RM16nlxs18BcKKEQZIqk69CmwfIK4uy5POUBM/mHdh/ifnpOXZxd9/15oyRQlcTgivNEozFIMMzwCW1uoPnO6y4F2Rrl+qstIg0AtY485+YoLm1LAFjyp4/rPk+fIeeNVG0YqzbXodpYVQpxtqWHskxb7cC+N+wAeO0XI0ptOg5AgwEEcxLVc1sfRhjK3kBaVsckX/qBtSsyQo9ePIZw/YzApF0K0PUmL/Q2KJM3VQ6sxB7ri/FKfnEoM2c4uQA12SVB3bRZa0W2oJTIVTmTuQLlehLPrsMjSrLLTAsUwDVfZ9WlcKMh2oxJRGaI4XKLb+apfnOspfSLKk1UA8kFXKjJcPNCwwNHnuBeQf65TCBsa0qxMOXdmKCsrEyNNpvYn7mmGg/6Hcg/lESDZ/T5oAs4Dbz2SBtVl8IZ7wCEglIHvNoGhZQ0aNbmMQg55mgIRJLzxf06XEZy9f5uvy7rRWJU1hRs+ww1h0B4NZzqpO2wVFfCriyGIBSM0gSYVx0q9b2iETq1+QSkeDyQfE6HwhluJPPEu88so1lx0MIIseI4BWxyW1KL9yTb1SohVcIRy3hiEi3B9L3Y71F78M25xicWAd+QTtD8rzoTsn+YYcxxF4xrETQHvNKEZxSytkV4ydio1kDl8UwpxCfXK8ig1gkCbsmGLr3GdIHmsnJYSZULde9DlYlZ7UlvrW4PHr6atRpjCD7Zu7yb3x9Y3g6A1z4xEgxAAgqqtWkIhXCVK90mitp6MwpQkJKsF/M3ojYHOupmPF7cqkloZ6iZTpqKyLvkpwEDtkcdr1nJ9XHnyMTvxHB2F/2s3imhVBm1bpCdGAEAZDy7kGtYUC2gyM5vyMXU9CQQIuAHA/D6gqyXx9MJn1ntO1ahnrNXpQI7ca8Camc+DOUkut7TWVeWVzTMv6shjF19P/s9aafacSYnRxj3Nylpg3mNws/VCeT/TYCrXLajSKQ6XuEIAamDEoN6EwcgPJLjo78O7tdBozFGkYOGS0DCEUg4Bu1voFc/kYvCnF7KApVRJMAFx+YoBiOS2P/ijiGiqTYkxAtA4giVShOrgdz0NPkgycCjwQAB5MJcjfqAKxAID7UoSLIFe4GPpZYPEgdw1DxylU9O5KgV6Hj1LTBQGWxN/L0wBVQ1B7RMpLgvz8UqaTg2tsKdZlIPUcR+0jkmvfw8SsYTiYKUxxpHoP2NrIafveAb2ZnE8UB6G0Ajy98s5K4qbtfOOJX5mGSkQEDYNpN7a3vY9IZMC8z6qm30GCCJAO2rF2o8AF6vjB0Ar31iJOiDjAESK5KqUsguMmqHX9TfrjER5mrwGQKCtM9Bxv1Mlp/tKXLKMnji/AQzjTzveWV5aCU2no1IWgbUxHh6urdtReGzMtOAK2n/gnaZtf4kALi7bL/rD8k+0DRCkzEXYP11CK+WIwCLUbYvaTX60wvqelGQCJ0ebcmF7fRyHR2PIrSUMuiV/MI1t5CGiu32zwiozhgGpu3JgJj11MJuhuTVxoA1O0mong420Wos4UjTlyG94TZINJIcy2gE3t8B89cREwqPtWStwMGmFDoNRmh4FMfbWWC9PcoCnariQ9ZdCkIIeG8Lc9WUT9lRtR1Z7wIEdcAdDx5TyTKjLuD6oKMdCOai0ZDnZtvr4H6AenMFZKefVLI43DyOw00fdHg16XfLnck6eGQnP7ZYLQto+XDy+CO1FACQIN/PbUqEGEugYY5RM2kHsDIDFYgjw23QoC9BKNWisV0IFYrT78PMXCyr1QjqQIyHublCBPn5QYf7qk4Dc5Vy/Sx6dTogEgYn0K5AIjy1aVNznpb70UBL6MSrg1Dj97wdAK99YnzYB2cArQKgDITHyQDLwS+1c9SmQ2iZicQCbeYgJypFngfZyShjsZ3VaOzUeB4QTtvtlZUuKf1dycRfZMTiLJnG9yCgWi8oq1JmQtXVTJSy95jNaZtdymWSvekamTFmAkYaD6UEQiS9NaZ3Mte+qt/csSIXYPHiKMkk03UFb1pqQBCCXI5FYSkps3ZRdveb2fEbAJtkCIUTvLgl4cgirg4g331djABV/oXEISA4GgoUkWgEEgxlGC8KIUYDkFjec92lIOMINBhCUAdxdwsuyWpSAUDbWpwrDgXjIeoVAIghghFed8qoUalCpmKDyms3HSxwBSh4BMQsaTei/x+OQZwKqIhBojABOCfnKljtyWcqkvbItVOB1EkjtmgNo3w4Uhsz2lnLSJglqIQd2tfjz/Cm57w+BmDiCqiTOJRtU22n3p9xH9BzCo/B+90M0LOfzQT2wpX3YmuUFYJMdc4GeojdctoD2cUm0aR3EHsDGytJDpXFmGxMVJtqAEZHs82JL8UE5y/R47VX6ey/3XYAvPaJ8e4mOB/LyYkyiCgAays3/DT+lJpUzJCkXQoGRshAdA5DbL+QSdXPLZk2EDPLzBRM6lM5SHscvLy3NdPxbP7wxO/Kdu+TrCApsdQ6wtr1FghQlolSTjK6y998/jFJSH73tWmIr+pWwfo7QEctyMa7ii2JDb2w/enj0nv1T/svwFVt+o0N+WwPPL2O7z+RL5fjFbxjMxOsYklDuJ001GO+G2EAL+IX9/2czpxhvNYBYJWfUccHThW+4gJxX1aJ+OrFTdy8XJfgYTwA/Dow7iPeXgc9ci1IOMI2ibEoOBCNAd9FvL6KYSQSiQ1tf/ZoVpLgjkN1UMKwNoiwUndQ2VzD37yQ3tepjhyzr+GR3HAFA2y58t3Ni005bggF4VFapFmNP/23UODlv529imfW+njN7XEyHsv44G6Bl3HsZT1kbokEC1tIK2hoj3dGFsQ6PtIyCQtp5qLNxTJ/H12WWnT05B0AYyBxkIbuqZOE7eioi2jtApxTRgZmbj7KPmu8eQXOYlZ0M7qcLXAOAOz6NwMAAq+JYVA+D/u74GFmAKBVG1K3V6TanBySem5kS8l+eHm+6CttIo4h4pcAvF7Cb/822wHw2idGr7kDtNmAcKsQhIIIDq4WQZsHYdPeueIqmCKlwqq9SIxzCLcK6lbhGMVqh97kkASQ5TpVioQXp4DDUUlae5k1Tk9OZy+ysERvx92Dcv2s+zWuwr16gSgCpLwgjX/6fey2SLbKjLIWXH7qTnCvjsjxMt4QdkO2XtlIccmqKrnCO/4GhEtSi8zvy4XCcyhWe1HOwdVQwp+mjXvpjbjHsppm4VIqK0Cb6bsxNxCTwrJlpaFqqn9ylQ1m24DJ81fmT2F9EGG+6sKlBHH7KEjzkAxpNZbg1juIW4cR+w2QcQxeXwCvzYHEIbzbvh89kedCdmoWkBACDqOqtA/QvPH18AfpCG4opvm4eSOcoIexW0/K/MTtIxCEQlSaiP0GNpWExtLiaYBQ9EMOp70Comq0HoWPq/0AUedI4n20ZWVMYytncp9xG0xfN3n8hUYm6m48u67qd7o/AQWeXCP06KnQW7+2AN+tQDA3qX0qHC/hmMWNEN6tDqLG5AxoMzwnHB/uqS5CQ08NALxb8iBh7EsvlxCitC0BoF3CL02ubdBB7M1xkkylOJVcjYP4sHxPOoQugldPokGIl8jxsgulHxiAA+C1b0xQJhdpHidzmE6Bj+3MOLugtTItvAgAjZJQQ0xdSd43eFx2MegiyQhtRTXLpnG8elNqOU6y+hS1aNtszZuMlWRovVymwwd6UiUz3v9E22Wo9vbjMvPJJEl7jMAjFCSUYTLzXQmrb+myJct1ucDxajtZtLT0wc2Hm1IawZ0OBk0+ck6l3LwPv5gsH1sE6OT4kmtqkMpMMSft8YpFAmFDIcvmXDdfhRAChMvKEUSp+wunAkEd0DiES5lsP+ZBOD6EV0M3iHM1Af/eTdlNCVfXrDoEjEhQeYikfUJnzRICgEdwM0T/EEQ9AzEAnqAOhrQiTy44uGq7m5c8XL9QA0SY0AF2CrhX2loF0evY2iAVZfrt1mzPeCKfkKmcYIUyje90f/G49HSRaAyq24HztDpEHMqMSQMg5Lzy5t/cUQA6G+orUtHXZZW2x3FhiaWMkenbtAw/y6aD6IQcBUZ1jdRmKL3PkUqAiujsG8gD2192ALz2idFwCBoyuRDqzEY1ENmEAZr8rbgFtXa64yLbWU+BmV3nhlckwDPOo+vxJWbjJBNYFXi3yBSPl1/ZG8eLDGYLyxVlESbn2kONxEaJbEHhNTT/Qi18JM5zZGxC8W6M7pJQq3WzjjaN1Hseg3a3IZgrQ4lm2NjmwigP0w0LcjEnwRqIatNbl6WnbhDGOD3nZcAAANDtbIFoALjGEMQkl7PhHmqm80+q6TaB29Zkk6cuMsi3lSYu130/yRqjvT4Ot49gfSyTEUivCwK5aHO3ChKN5D0SimpjGWTQB6GKdzTuY6Hl4PVHssDksbXs++54FIIQNF0CoXhkhxrpM2mNKnfzRYBHIMEQHZXtSbc2AfXOyHAbi01ZKYB2N1GrtiEcH7TfT8JzIV3E9ijGqSgNDx6dmywobJfRAYC6tYEq5stJM4nwiWfXDBNbsik6xM62zief2VpWZnarvj/JTwxAgj6ESjIh4TDL6Rr3M1IWtoJqhmxP+jI71Xp+u8waAFQrciPHKs2pmdl0YxccL3MOssLlWm5D36vmD5KBOk5v6krC7C+3HWQ1vjJ2ALz2iXGvDu415OIoOARzUi6QVf4nXw5DTuRmbTRh7VRN7xbGPaBSy4TRpoISE+ztUlPKtAizARhtzJ9tx21Lb2S+2yVB3bRpoom2JdmHCki8XEGBMkBp2v/7z78MAPinb0i9ooOYoMFc2SdGFgHaypbU7ff/+D++BQD47//wCIQCOX/6pAx1/NHXzuM9p1+bCy9pcGPayPAIedb3ppcrk+lm6jVN8NyW1bzTYbYMUduTYahBTNAw+i+JQ3z0T57CL7/rRpyp1aVkAalCMA88Gif3uDmKsVhtgwgO2l9PnvVbl7OL7f/9Vz+X+fub9/0QGAUevtTDnSt1uE4F/+y/PJ58/9YbpEfvg9f6IJEkpF/oyoX1hPKs0VjyPvXzJJIKyoOpn/eHfvNvcOnJJ3Dhf/v76fOVFCkuSnjZHGfngaWCd6qNF9RqzHA5iZWgo95ZJrnDztY1v1MAQ3h1kGAIXptL7pkKnmxghFORXi/DY2WH+M3yUXA8+XtrruBFIEH1cUZJzrtpm7OLMZrZdFmbB+195p7s84yr59dJCnos7CJx4uWyA+D1ytgB8NpnRgRXWUnGIJ8Gioq+tz8z3fvjLjilWc+Zvfu1M9AMz0hhYdspITUdwprZZtzdFWVqaRMlXpJJ1nRmhE6RzkAred69ZDpym9lXbHe9XnqYTHBVcVxgrLLDdP/St2K1r77vv3OrIk4Lnngubl6SIGT7lkO588hzFQioVkq8BCYANBdKs332MHHrZ8r0b3WtiuMCegFVml3vvPkQGp4h3yJ4kvkrVDLCfJVJ7ytLOXI+4ViuZ/v99XeeyvxdcwhIOMSRpo+qCAAe4e03pjUudZsi3kquP6cV2hVuJIJDgKXggVAIwUFGXfmdaq8fvOsEHl6yNP8KpF+SJikYs03P6pv9kuxRo48nxbHNdzdBKDgzNsrer34fPJb/jiOAxeln2qusNL5MQJJLuDXvldPCzM/CpCEdfeAxfGfKGNxNXy0TTxbG8yDdtOlxtZf568D2px28yX1iJA7lRE98OYCpA6oUi23vlZ22nHgajIFf5H1Ifh+OgZoVUrC4UblF1Dh3IWyY4gXbi7dpT1ZyH7REDHKSkc6MgFHt/JOFaA/hzSLbrZzEggICbPOF9MPOMdCgj7jalinq5j1NaK9bVmSfI/E6uPJKaDmJ0wt1eX7rt0ULud+7nF7KEn40j8+ErQyvwCQAG5e1h17AzAy7kQ4ZpR5jIjjY1gUcbx+WZWy4DK0Jx4fQYZ5wBEEdCK8BMA9k1JXlgrwqWPcKjlmJJm+/KVs4nMQBiOBoegxQKu1HW6m3bkGT8VXlChIFcHyS3B/iQAJEpONeeFUZaguGEK6fiC7ferSdtJkGsoWioLqZCjiPzKoUkfOum9+ZmbZGmybnt8OW+v7N+cxWmDf6gcl5ItFIzmn6eMrSTYPeBJjXLiHtg1DZN+pW3y/oa0mfJXS6p8kuEDnF7E1PssXTVQAszT2twccGxWW0Xgk78Hi9MnYAvPaJyVqNVemO55HcWe9y8U4WsJLj7FCVYF7Gy0BLdsaANaGWHvky24yTWdHin9guw3WZ880YVk0mU33fBWrXuw0bZs5bEjIy7cRCTV3DIBoH/TTL0vGtcJAFo9XicsOiXJQF304WrZbKp237jgrvWH2m6F0Zi4ut62T+LaL0vZW+Q33bZWNCSxsUkPdJ0LcWaAdnFmuSTxPSdGFnrpQs0ARukr9nwiNULB2vt5yaz96LEIDgWPQ4BHEA6uA1h1LAk9QtHJLk+EzpJcHTd6RuQhPN078lkHvzsQ5OtKsAttJ7LPEAx62V3Ge58mQlXpZM2Ey1kygBJ7rtbECWPSYFpabYaO6dEgqdcywcLy/gWuZVJhRgLH9M2W8U/67UdrM5Mp+PZq+nw6gi0vplytOlf1OWOPQK2YGO1ytjB8BrnxjdeBE0qIN4VUDIjJ1Ip13bi6616Oid0HYjJTI3o2zmi3vlbPLvaOEU3CtPId5INYd6N78zc3xsZfAExt+tgjqOdEracD+engFXZO2nvzDT8U6Jjle8nid/T7Pu4s0zHd9WIVW6fQEAwCv5sKyjvpvFohKZDNO+fV4Sx6+eSaUaai5Fo/+0XKCirIAqufhk5vfxmbcDAD73iLzHG51HwI7eAAD4Tij71//5yCXc9HeuzdWxXNk+C9vON9P7OHrhrzPf0cP5hRvIggXhFnP2diqTpQNawysAAD6X6jSxHamF1O+cQuzKvtwUAlf9ZfzRI6t4+6kF3FZVBO7GEtzLTyJeOw967EaM5k5BcAFn3AMddxHNnwB58ku4euM78fSlrPf5V//88czfv/+B12HO93FlGGOxyoCLT+HLBq9Jh6/uafbBG0sYOI0Eq9eay6BxCM45xrUFbI/kGFsZXQCvL+BKXMEy6SWSG//rXz2NZy5s463/5PXJ+dfGk8fdikFy19ZvZbWtapeemfh7tmyE75jOMJwMvPiV5+Uxh1M5CdurY3qlY3Vt5lTA/ab0BuoEjjhI5Rd6a4jPPwXc9Nb03qxED3OTwL0G+MVnsmR8APz57+TuOX7d+wDIzNS1uJxvemr8Qun3QNYDmVP270oOpQ4pD47dCQCoXpZ9Klb9ORaTeawH9r1hB8Brv1itDdQbiN1awtsIqSKPWofaU6noyAFJDCJ44GcXfL+WLmYj6oPV5jJ6YHZlHBtGuVMyesKp5Pm9+cnIXH5XXmZxezLwohuXZr6+rdM0zYaOXFSrSqsrLtCSmiSdUHofJXU4TTtzWC4OpnJ9xAXi1mFwtwpencuIalYtnay++vLknCpP4ywjmpegb7nHkmt4jOTeeNzOv6uq2W+crEcgLtKDQ3ZBiie1VYmm0qiRP6+vQmGmHl3UPgw2jjEMYnAhMKwuoOpWMHbrILU5sEWOsH0E41gg5AJOawVsVENcacFrduAzkvN49bYtNXQBDCIBIYBhxFGZO4R2nLaD9nhF86cw4lLrKxWm5WCEoVKbQxCLJKsumjuBfiTgQIB7bUSVDgCgXT2LYS/ACE7ynIRM7r9FXE17w0Xrk9XazYzExBNVkrHLVO3FcCHV/xIWeHeM8aYFpLuNw2CUgCDVp6sgDaeK4SZYewEDQ4uQWLqEZkZiEAs06s8iah/NHOPMrcG2sWqPQcinzoHxLjZHZsIHscaeDv3SgWxD/axc6bTpotlD99WLOXAe71n8Ovn9geXsAHjtEyOjLojDwVTJEhqN4Kr08ZBkX5NNVKeq+DCrpZpHJrcGAFj3SvJvr7UCsr2aVS0/fFv2nDM6qKYdXqYLVmZifTbvkC29YVo8eOX1b2oDOXnrLL2iMiJ7KXJLCkBNkfVGKiPKaG6PUdCNNRCnAlAGaiyO/GrW69FUIpB6kYm31+HUpaJ3SE8m16gwksM+RYr8IycFTnyQfe6MnESZBlOBee5kTbZEmd7I2ktS9Os0AdNsuAXHaeHmQ000fYZq2AUdbsN3R2C9NURrF0BbK6jXF7DDU8kH7tURb14BPQFsj7P3+pbbs8CfElkIu+oQOJQgXjuPtuHxqSjgxfrrqFZa8NwKmNKDqroUNBiAxDzzvKy3BkeNdRKN4SgP4Z0nOoi5gMcI/F3kb9BeXpzWa2cBC7eqDWRs0UjS0Ly6QT48qC1W58rU6CwhuOv5qd6/DF6bA+utpQBP6x6q38Tb66h0VwvPAyATJXAcH3F3C6ybnSPtKg6mSYBcHjaj/aul3wNZQWA7q5Juq/tXXr+K2lDr33gqNDxr/diXYgccr1fGDoDXPjFebYPXJIFXMBckDhPAZdfEC63X5qqd69BId65Y+jgZsUoBiPYKmMFXiaydbk753Pjbofkd17SsRUH21tXIwtHpBxkWl6hHsz0o189quspAkjpfwOcSRVmhUyzyduclq3py4TNBUT+MsVRfKJQPYFbZlFDJdzxySQKy9113DeKmXOSvrkmv0XovACEEkcXfKJJ4iIyO5CxnNaVCQ8Hf9ASYWkd8gnBs2dJTlMihvTObozjNGiQUsQD+x9mrONaqQDSqiKkDUIa4fQQOgLDahqAMwyiSYq7q3pylo4gFcKWX1Sb72pNZr4nzg9diZ8yxNYrR9gWaS8fwxNUUnLhqEb3xqMoydirYGqv6kDSGcKsg4y5ccAx1kl9tDi4lGIQcBEEiyfCf/sfD6G2NQN+Vel6CeDLvKG4u5z7bGGUXymOLk8dTWCQnYdZhtPhlbOUaef/m+7WqOJgCo/r4sLkMIjjixlLybmnQT7iAAoC7fBxh3eDX2cR+s39RB87KNfmKIOp6pnlqXhsKlplfi6xMykZbXKbhp+YFqjzDO6p2Y1vPKappZ3TCH9g+tAPgtU+MN5bBm7I0SBBLgu2VgUpbZ9lJxC5docvEmBOaaxXrrRuTzOV+iCPN5cyidnVYvjMxN1nb+RJvuVClbeM9iv6d3qWnR1tZMW6yh1pnG1Paxba6K9vdU4BLh4tNc/agg7bbkOfv//enAQA/dHMabuNCYI3VMUcZLvez7+GoBVR19YNLKmQmKk0EFQlazm1Jr+kTl3ZwfifM7bxJgeYaNxYrO9P2ssE/cmn6nRnu4qPi545LvGKuAgHcCG83FCgM4hiXlURCy29gfRDh5GINsRDYiRnGEUHVpWhU2xCEYoe7CIZStTx2KtgJYoyHAkc6R9ELOKpulu/Y7mT72Go/RN2lCDnHKCaIOkcwWEvfwdGqPH7DbSCKBeJBhJEK966NKRzG4bEGukMOrvpAPwQiHsJ3CLpuAzuqj153tI1zLsNG7CbhyrKKEX4jD8qo5dWxwYlp28LYVKjLZERGLZDRdqVHadNLz9mwEjJGLP27pbIfQ1BsjgXavp8wFiLWyGwGO40l9EX6PDb/ULDsdRpeNSkdpa1esCG6oHDgKIpym1PburugEPheel92tRAddtaAcl3N/15DttdqV258er3yRKiX0w48Xq+MHQCvfWLcq4F7dQSxkJMmc1B1indYnUp2EikS9rPnCLOcEKMEAfXgGTu0amxl2FgLvW9wWabt/Ips9jw+dR+2wOIUG5V0aXcPgEcri+/WNpXHoO3LybM3zrdV1XZh7sJ64e4msOacBDA1Q3GfEmAYcmyPY7iUZACTcLLtG6hFX3PFBKPJIn7bIbmwPHm4haZPc8CrIIETdeM+RJBtfxNgVYxzcWPRnFSVqCzc4mkulMnnUv9u+Sx5Ho8RND2G9964jKpDEAuBWMixEzAPvluRmyCHwGMMO0GMIBZwKIGgFTABlUWY2s+947rM33M+AyEES0q+RTg1HG6mnqAbVRYqNZ6p5iopCJI+q+wz8gN5/wIVRjI8s3/wmiMYRRw+I0lov6yd7IVfXtuKUUaT+79ZOkz/ihmnzF1ajT+zm2yPLb1A4zc6lNgPOeouxTjiyW8pUpDXDznazM146cf25rTgXuwi7/UCT6kGcItVmosC2Gbz44osMu7Dvr5umapKGqg6EnjpvqvnIjqebU56SRbHEPQlgKeDItmFdgC8DuzADuzADuzADixnQrw0cv1BkexiOwBe+8ToaAfUE6gwDxUixRxrI0X2tPkKdvFZ5ZLPkJstD5aZgdQMroA7cxly6bKtnWRr2hgRqs5eREH3otYOADNqBVbK+FNRQYx0is1VZttdOqMtAICIZXtWaYGOF5ldTLbu7G4Ce/8bJGerabiKSDRGwyNSODLog4wmF+pdVH3rUEN6t+jwKhoqhNLw5H1ff6iBQ04AbpODC2r/9UkaerN1kA7PGV65kUE6Ngp3m6WETCtTZC8ShR21Zbu48Risr7Jb+4DfWMIfvDjE953o4AR2EhI3RwO0t4alxhJodx07zeNoiyHiWgPu+nMgPMJyA9h0sh6vP3g4m6zwv/39myT5m7ogBGCbF3HtXBoG1l6PjuiDjPsg4QCRyvpzts5DEAoaDlBFKk0i9bMikHEEurUNX3GtnloX+NLZq3hf+yq4kuGI25M5WgXOWPhWoWdqZd6ZtrxshLOVN44a4V1ijTedaDLvpe/UrtWYufaW5GR2mstwti+A+3UIFc4m4y5IIPtqozYHtrGJjjEv5mpAWppgZNxHu27VDi3oa0dd2WdjdwkjZzKNAQCq4+K+apowxkPVda3vlHCqmkOOcNnHOeT7pUO5Hrh7SM45sP1lB8Brv9jZh4B6DazWBHE9iPEIWJJk5JyWkQW82JbUrDGJ5XbmnPPiN9M/6h2QZ84i3kwzHeltP2Bdo2ShLxLKnLIrssUzd22PPzDT4c6R6yZ+N37qmzNfnh25dabjtdK3fidFCwubACbKrCxpoPA+TGBCiNSlai5LnSQjnhO/kNWdwg1vAgCcUQKq4bf+FN6ZNwAAas0bAQArDV+W1LHeuXv12dx9eCu3JP8OvvNg9jujH5EJRcCL1NUBqcU0yUwVfG1aCylaujbh0NDhNiA4blysY67CQLtdsO1VCL8O5/JZRKsvwLnx9RBOBRWHgm5tgm28AOH6CL/zIMhb/kGuiPrbbsjqi5FoLMn6QsAVHPGTX4Fz83uNNpDvwlk/J0WNzXGiyPaIwowUh75HwVyAxwk4umZuBfWbDwHxJigkCOYlALVx9bncZ9FilmAefudLE3+fgQ1UK/0bJHZrs6Xfv3/mdekjWuDMHBvBE1+Vn93ZkAXLeQShwDsdbidtQgebCB//Mpw73pGeZ2cVppmgX7g+gke/CO+2bPwxfPzLuWdMzsncqZmibHu1/ABYwr8TNrDxVTl3iBvfAgBwLz8BIE1E2K2Y8sthgvOX5vE6EFAtNCJsMs+Bvaq2s7ODdruNtReeRavVTJTFzcwsTrJAxxYr1WrpPaReq6qlL2RyJ2g4krICxiQ3qi9lj7fuk5qLdUGXCacQIIJd8B+KbD6evOMuMlFSVDtTRmeX9gdXZstA/P4T8vjDitNzeZh/7mW7VMku7FJvd8kJP/SvJVD9b/+vtyWfCQHMOxGuhg4WHas2Y5j1Uq0Ref//zz97DADwv9+zBK60yP79N+WO+4+++Dx+/6femLv2ipcnvD83SPvhtSKb8Wcqp2e8uGb/IsUcpRcGk1fBk74qJm0s/KHyVnQDnniZDtMe1tDEP/4/vo4bjrTwb+45BRAKQR0QHoEMtyGqbfQ5w1cv9nD7oTrmfJl9SAebuOws4s/PZiUI/vXvfzPz94f/4e147w1L2Ali1F2KY7SLf/HgVvL9iiLj/8wtDQjqoE8qWBvKtjjZdDHmQCUeokcqCYeoTUMIx0c/EmggSBbwH/h338Dm5R6+/q/enRRYvlwioFq3+VxAQuzXthxcyR2jzXx/2uOVmWeshBqqJG3MTN+en1X6rxn8R+2RD5srYNEIIfOTDG867qY6Xo4P1l9Hv5qC3iqxa80agJC5oP2N3KaoCLBrod5RJKbyLK/xJlcJSK5tZjnbchtUzvlMZYP21XxeVxwr/bw7Ozs4tLKC7e1ttFqTddZeiul1qfX2XwTZQ6UNbSIaY+evP/WK3uv3oh14vPaJxX4dsd9AzAUcx0Eo0jBEYBEUc9lkaoCaGXhtPzuBNgy1+QtjhsMNF8TIOrpoLeyRNceYGWKzEs6BvRHyAWCuMlsmYllNQ7547cTvJtn44uXpBxWYUN6cWOQB025IuHu1Yyc7AIAtQxYgiAU68z7GoxA9x8tcv+1Y7at+VvUUEbq+kLSpzuBrtHxc6YcIrd3s8kreO9UP0sVovJD12plYnRrZn2ZG2s6ErLyd8WQguuVLkGWCiEUVel0bRMn5t2pNXNwOQCjBMIjREy58StAdc8y7ABwPQ8HQDWRGYRALCEKwGTlY8GrYGMS5NnD97JS6uiWf//mtEW5cqEF4lUz7b6gMtbjSQi/g6I1j7Kh3t+kxxFwgcivYGcdJRur18xVs9iJsDiOcnvOTjVAUxnBchl4Qgyu6+/Nbk8HAa1fy8gcXutl2XejkJSe0ZcRP1SOZ3hi73FaoBEu5cUzPkq+oGYWo44bcDK4NIjjUhQjjhFA/5zexE8i2bxAG4jcyZH9ueeVNHbRuwDFXUC6pSFBWv4vtcYxL3XKqwsmT04GF2Wa2x1i3C9EZuCrxQIcku+rvbnDgRfpetwPgtU+MxiFoHCKAAwG5OGvgFVoLtZ2h01MZPKbqhJ0xMzKAD4HMlKEmr2sGtYci4MCmCKTu2a86Y3Ht7njyrrQzo/cMAOaqs11fN3tPTY5FGMuWA9nVeXf5k5oC2CZ4qbkEq70QIRfYUZmNiVnlnwYjeaHlptzlkqCPLpVeRP27RsWB71CE1gJQ1vaA5FeZthGm0495TyZIt0N5u7FhlG90LatQc2ny71gwVFyKKIxR9ZgEPur4wHPgqcy3YcQRC2AU8yTFH4yCEQKXlt/f8fkauBBYrLnJ5mW+YYBMmgJCqW4vMFdVno0ghkcJfCEzEGsK+O6MY3iMoOJSmYFpjPU45hjF6dzhlmQ1FvVD21NOJ4SAAaBLU+Cm5wTzjHbLtKmcZNaM7FZ7bhsY764RyvEaxE0Qop7TeFb9aMOIo8kjDKN0rNp3bfavkAtQ0cU6yXrHF1AErCSIb/sMV0u8rACwWUSas8wUkvYsmSD9zuouyfw9VO+JEJL5/6thMtS4d6B3EGostgPgtU9MECr/4zKlnRCCnUCrkGcHmu09qqgBbKZmz5eQwsexyIUS7YV9YLnVzfBiUekMMsWLk0+d3qXNiNhiMXlyNPknu7WzV6erqJv2+iNy16sj+EVt1d8D8HJ2iT+u7shnHBkv1GMSIOhTZBY7q321N/WK3t0LnngS9Dm3ByG2R1HO21O0IPSCtP1ImOUbUaQeArNPm/3dFvTUZvdP07iQfd8cJlrCIxYi2YQEscDWMEIUcFzZGalry/YhkHycIBYgRD6H5mMNIwFQjlHE0Q+y/SMYZncw33xxCz94eh6MEIwVqLhkeKFMoBwJAUbTseZSglhI0EgIcKUv26/pVdAdc1zcGaOuwJe8doRRP0DMRQJKtkeT+28s8iEkZvezkkQasxvpo4IMMLI881w+t0NTwLMbfTpGgXEkMmOAi3QctTwKiGxJn7LphhKiio/bD5RvKy25wUV5n9PHTDOzn9ugXbddU5UE0mBWy0loD1+3RJvt5TbxEksGHeh4FdsB8Non5uyswhE91FSGIgSHpyYoak1gzBrgTU8OYHNQ2+HIOgLjOwZvtAnWTTk3lfrpzPHU4pVllevzC+y0CXSvJYN0cePd2lzn2MTv2Hq+Fts0O1qSFVZkDfUu6o7WUcq3S2UPJT+2dhleOK5I8RVjBY2FQFsxg2ORDcGx7SzvzamfAgA0VMiMXXkGh46/BkC6UDQqDmouQy+ww9l5dGh6DJ3NLPm+upwmLjBjpfRZ1jtRZDV3erjbXKibKjy+MYpRT8COPI9fdbDcqsB3CDxKEHEBNxqCbZ6HM3c9PE6wWPOwWHPABRDyCM6Vs6i3b8sJqHqWh/TM4WYCgmouhbN5DsutNDuuqu5lriJDhCEnyVjymSxv5DGCOOCYU6LILZ8hFjEWax5qbgqoXZ+hUvfgUgJHXdSuJWlas+B92Zs6Z/3cxN/Xj9ye/FuHyWJjRakgC2ScS/Jc1UPp71pWaNYzKmCwK7JI9tKJ12NjGKPp0cSDF3OBWMh/+w4Fe/Es/CMpab9SopU3DDmcy8+hc+J1mc/Zs0/lD16QhaqFmF6vtj5JdM6wqpk1yrMbkYqvOF4qMSAgkkx/hMhNUE9lQ+9xKj2wfWQHwGufmNC1xzQvQnDMqUl5ZG3fPGunVGOpIGTymR2iMTYeTY9JuQnjPJ41mm2gZIYXbRf5bmy821iZbeEeZSgKjPe2Zv7Nc+uzkev5dYosnHgKXp5Z0vYeTLLzG5Isb74iIghqUQ8Dp4G6Q7J9Y5idArSnbq0rvRPEcVNS70h6c7Z7ASoOTTxL2mwyNZD1EohxlshfN0Bpw4h1m0R7VivOarw6mBwbP1yXnpyMwKe6N4cSbCkv0PVtB9tjivEwwvNX+2h5TJK4XR+IABCCjkchhCwNxEUDlXiIhleBcKtwKMHQ8oIMdrKcqu9c2ME91y8i5ByDkEMwJ+PxWm7Je6UiRtWVYrU6ZFWvEQSxrNkYxQKRAepjT4KyCiMZceNRP4Dv5MVti6yozFfuVyUeL2aEjpkiinsGid0u9yQU369O0nc3EpaMjVmzU2UtcgHMVxkYSUFphQpUqrL/ER6BeFWY3dp+DhOHMY8VhsCIn+e86bGyPY6nCqhWCkqp2SaMACzBBG+Q4qdV9Pys2laH3cVu3d8vgx14vF4ZOwBe+8Ro0AcNCGK/LgdaFKBK5UTFaZYA3eCWXpKaQxrGRGd7yUx5gZbLQIZDmaauz2ntfm3Olul4KAobTiunsVePFynQhiqzKMcsSc11S+qkTbCqN1sigV4YdCaqHY4D9lbkNtglcL3wzAaALFBrehSIIgSxQJXLtHxttraWV1ehxh29gDpJxpouwL36/BZ8h4BYXtGiRdq8D+JkvUHEAGpmwWxhJH1UCwpvA0DHrBNomZamqJr8QHWttl9J3hENh6i6PphDEChPD4kDUKci6wzyGIRHqDoMDd9BzIX82yMgPAIjKTle29gqKu0xmnhKHEpAR0Ns9NOxcmxejVlC4UIu9DoD2GMUhAh4IoLHKBYcJ3m+NmPwai4qjIAO5DuPI444GKLu0iS78ES7JCOtYFGsuzNwGk0vt860NsN1tv6gev8m6T6w+HjVAjAYc4EKAoTMTzaAHuHZawmemWPsKSoznwmAULqrJBf97k60vNy92kZ2oW+oMxcBgIli6oPWHKuqUkH6ZbaZfF7CZqM/vBTjPM4lAcxiB8Cr2A6A1z6xuLGMuNnE0JWhidipJyGKgcVz8SpZL4DOcjFDNLnspGqqexREAo3mCjxDM6hnhbJsvs40jtdoWgHZ0m8nWzR3fPpBhm1N4AQBQLU6ezrzrBmIX7so6dm3H5Lv6OmNPDn5hvlyIcYie+DF3SUGNJQ8gfn6NkYRaLWDr5zv4rUrDVCSvveFuWxoVme3ak9M3JhPyiBpUni95cNjJEe/64mi6cTwgNQ6mW+2eboIxV4qZ2IuoJPUbp66MllEsqnKHZlR3gpTNREHEV5UxUYbizU4VGA8jOD6DtYGERpeA1e7AY425uAB2Agpzu+MEXOBJ9aHOLPQQBwJ+KrAtL1BiS0gq8dNdxyjU3ERdY6gUUklGvTv10ccQcwRcJFwwS6KEONIhokDzhMQG1AfrpBhwR0CMCUBwmMBHgbYGEZJiLZsWPaR34jYkglzjaXcMdpGNO1H+j0RL/0sCLPvbq4hpRmuGPU3n97IbqzecCSdp4i69nNbAY62XKz1AlC1Cai5BBUFRH1G0Gwu44KRmW1nZZubHUKAU41FrFt1WP2CZ9Wh150gLg3bAsDFyXkIiVXd9JoNyyOok6Q686cAADXVTEM1TnRfCQrqvx7Y95YdAK99YsKV4QshBMZc8k+6YT5TCMiDC727KyNtmzvAQchRYQRONdWxiQfWOUuyUYrWwmlu+L1mNca2eOwUC4PJIahJIp1ldv3ibEW6F2tqVy/03/lJsijrbprZhdIn2Yvf1oKob0k+qzCKfsgxX3UQxDzjDeVWKI9R6cHR9T9JNEJP6QjpiX9rrZ+pLajN1oACslwsOuhnvtvx0z5WnbEWaBnHS4OAcYFjoMJo0pbycQiqDQ8nF2Wd1B2VoDKOBVy/if6Aw3co2hUHbd9FL5QASLgVUE7QrmU9RLWFw5m/bznawigSaFccRFwonbk88Iq4ACUEQZz13HAIOIygF3I0kmw3jmEkuYKMkgRkNToV9HfmYCb/lXlXi8asvc8oqxBgzkOa42Vqg9n9fEGLOhsOfHt8mBvAmtKY85xFxDzrPY1FuilaDziaQALKAIBZYT9zIxLEQqroW85AuyIIAARqy1h1aPLvSbab/CEzAcqeExMyvfr8isqg1WNDe8+7JZvLl9tEzAHyEjxee6WY/C23A+C1T4wzF5y5ILGAT+VEnBRTtuaDvI6XNFOktGyZdigBF1lNGTsU6JRwk4q8EGxK+GyvSY18RsTWKAkNxgXaPdPM35wt1NipqF24enc1nn8TRcKV0+xwc3cihofP3AAgu0i5TLbLIOSoWtcWlmdTk/LfcI3kqvHmHBZVaOhoU66Yh0504Ds0F3Iuwobm6e32bxnh7aahDWe+8kk6Xsv1ybt+DWZIxuMlP6MAlurKg0Bkv3/v644iiDjaPk2eS44PigoTcCkDIR5qLkHbZxhHHIJ4YAI5cv3ha7KCoE3PQcUhoMSRXkJC8dbrUqHPo8qzyIjkcnmMJN7jls/ghQQVJq+rx73DBYahBIQuTdfF9991Al+Yr2ZoA5OSEyZZy6IccGduwpFAs8ADZHoACcleO1ZeQtNjbhP8Tf5h3JQlidqcoeIQMMoQqT5XdWkC9Js+ASct1OISmoHxVSyA2FlOxmjyubuQ+10tSn9oH2/bbsa1+TrseVxvOPQhmtOlOXx6MxTugaqwVzuo1fjK2AHw2idGozFoNIbLpCCi79CEEBxYXIkGsrtQrgT3ohIdJTPLx2MMLiWgBhE2sCYtO4QyNnav1SkTUJGN9rjzcWcEXkNMBkq74WDYdqI9m4CrXuh0axZle/p7mDh3C0B1qNH0GnW5QMNj4ELqEZmcDbueXhDLe/vi2asAgI++Nk0ueHpdeqziiGNjFCX6Qtqu6eTB4TA0PJBW3UoTBJrEfFMEd24Cn6VbEvaZUxmcpsNFg8SNUZyA0pZHcW4nxHcu7ODv33EEhJAkvF9xCAgP0fQ9dMcx+kGMqkNBiVowObA95ti25CPqzSwgvPNIC/1QSj8s1jwc9WP85ROpx+v6QzK09rrDDQgldaGpAw1PjlOHEoyiGEo/FUebLloew2o/xFLNwZxCXn/y0Itg1th8cXuyx+r0XP59rfazc0jHnzxmzCmiCN9NwiEmuNq25qyiTV3EBeoOwdUhT8ZXDUgydSMuQKz5xT4PMebQSdNX0fygTxNygQs75XI0ty1P986XYTO9OUiSI62DtQ4aoTOILr5EEzx+aR6vA45XoX1XgdcXvvAF/MZv/AYefvhhXLp0CX/8x3+M97///cn3ly9fxsc+9jF8/vOfx9bWFt72trfhvvvuw/XXX58c88wzz+AXf/EX8cADD2A8HuOee+7Bfffdh0OH0gKum5ub+MhHPoI//dM/BQC8733vw3333YdOp1N6f4888gg+/OEP4ytf+Qrm5+fxoQ99CB//+McT/tOlS5fwC7/wC3j44Ydx9uxZfOQjH8G/+Tf/Zk9tsRU7iGMHVKnUcwDbY63nk50QtnkWXDhKxdtUNLbJ8uYa2Q1izFcYRnF6HjvrMCiRLyAFBa+ncef3GmpcKyl5UmT9aDLxlDWOznx9pz8bkVU/56ZaUGiB53CSNlWZ2ckSk8xxtWJ+2uAhF3hhJ5DZef0o813NzU4BTIUVPQVstkgdvXE21EgoQW/Mc2CwSEB1bFRdWPezHJqe0bZmcgYhKVigE3y3ZfIll9R5sx5gee8hF9A5ARf7EfoBx9YgwDiKMYw4NkYcHiUYRgQeczCOYgSxQMWR2Y0v7oSoOARtvwJCohwHcOtqlrMUc5HIcFQcih3hZML4Q+XR2xhKAn3ABTaHOhGAJc8Zi3Tzc6UfYXsstb0aIcdl1VxxzNHfCRDEIgEoRckd2tYGBUR2q1232OSs3pExR2hga75HW4x1qDxK4dgMUWbPaYYaAybD4MMwxovdKFM9YxBybIzSbO7QqWX6mn3e2ABVXAgIdy7Ha6Vennupf3elH0yVzNmNMLLZJ+3Mc72RaSnv72pPvp+O0mQcq/m6G8xeOeTA9pd9V4FXv9/HHXfcgZ/4iZ/AD/3QD2W+E0Lg/e9/P1zXxZ/8yZ+g1Wrh05/+NO6++2489thjqNfr6Pf7eNe73oU77rgD999/PwDg4x//ON773vfioYceAlUT3o/+6I/i/Pnz+NznPgcA+Omf/mn82I/9GP7sz/5s4r3t7Ozgne98J97xjnfgq1/9Kp566il84AMfQL1exy/8wi8AAMbjMZaWlvDLv/zL+Nf/+l+/pLZghKj/pKvZ9NLbS669Bmt5hyLNKG1FwMjUk7KSs3LyBeakV5TBaE+ytpUtAGU2TRHftnrJfZSpeE++/mzH6zCKbr+iUM+0tiqyhV0q6OtFzSQXCyG9bJHy1pgY274TfW9NpRnl0FR+Qr8LwUWhB84paF+zhqctWWL2v3jG91wmr5HwpoyFVb9HEaV9xGME64MIJxfqaKvnrTCZEShV6QliKsOA/VCOu4pDQGCopluh0M5i1utRcShiLjlphMhxeLidLvBLKtQoMxEJGmAJyPYYQcjlO6i7FNtKzmNeySjEXIAQkrTj4mINg4YHRtLQf5myflEb2q+wLBuZFqjIU+MEtmc8Ae7Gx/bpSQH9wWHy/RGRJnQwSlBX30twm50n7fOazxHEAg4luXFY9Ky6jWJerolmPl+ZNUrmIH1+fYQObepoRcSzc8urYQcer1fGvqvA6z3veQ/e8573FH539uxZPPTQQ3j00Udxyy23AAB++7d/G8vLy/iDP/gDfPCDH8QXv/hFnDt3Dt/4xjeSApyf/exnMT8/j/vvvx933303Hn/8cXzuc5/DQw89hDe96U0AgN/5nd/BXXfdhSeffBI33nhj4fV/7/d+D6PRCL/7u78L3/dx66234qmnnsKnP/1pfPSjHwUhBKdOncK//bf/FgDwn/7Tf9rVM4/HY4zHqct6Z0cWZq04BFWHJPwSRtKFamxxaewJQ++0Mk4ra1NkZ/V4jGT0uOxajXZk0ARORRPQtKzGMt2lMru2IHxVZnbowrRXY8LSk7dub1ZwO3upS79bCQpflZsxAaNPpSel6lDsBHGmHRZq2SlgcywRuGe8Y82r0f2FUFLogRsXkOtNjSl7XTLJ13wCcdkGa9rKiobrkjvmc2pCPXeB8135jIs1F5QQLDQ8dBUTfxRLj1fdp6g7BDvjGAEX8BhFhZHknn2HYq0f5ORGTi5mkxViLt9Fp+rApQR1JnDUyGqtqNqE/VCWJRpGHB11//2QQwgg5jG6AU800XYCyQW73AulmKoaesutCliHYHsXpWuA4j5lD22bE2ia+f70uUzPuc0BrKp3aXqG7LC72W/tHuFSkqEs6HC6Q2WSQdmoMrtRsoHIjcN8e1xSO9L5qjt1jtuNmW1StFEB0g2iGeYEYHg/95ojPrsdAK9XxvYtx0uDk4pRJJkxBs/z8MADD+CDH/wgxuMxCCHw/XRxrlQqoJTigQcewN13340HH3wQ7XY7AV0A8OY3vxntdhtf+tKXJgKvBx98EG9/+9sz5373u9+Ne++9F+fOncM111yzp+f69V//dXzyk5/Mfb6+tZObqLYUiAitz4fWYqSB2EWDg3DM4ppsDNPfDEKOrTC7YGxuZfkL9sJq6kiNC9xA0RSP1sZwb9ozV2qzDdwyMrEYze5pemZ1Nh2xBZXlpguJBwXtUtmDAO2LU/gl2sZ9mTm2sbWdfFZ1pZbUWAh4lGZyNa5G2Xu5uCF1s567IFX+R/3DGKuF8urGJgAgHPSwtrGV83rNkXyo5rIhF7DiZL1BsbFwm4ug+cZt8r+2bkl7NJUo58g4Z6Q8P8OYo6vIUm3hYW07wNkXr+CQF2PUkotdSIC1PjDwKEbjGCMucLkb4ljbA4MUZt2Bi0vr21jf2Mpc+9uPX8n8/ez1LVQcCo9RMArUuI/vPLuafL+okibEUV+KpEY8AaFUhR4ZkSG4DbV5WWJV9KMY61tjdGgFvnq2R584DwDovW4p8YKtl3C82nZaH/JczGo82dM6Mrx9eooyf297nyPDY6rN3lRy02OmQB8fxRhCeme1R6w3TjcEMSPohwxdY3NXtcaYOWdGXIC4NAekaAHI7O7ITGi35uDsenlWdAuN0u9ts2V59Pw/Vm1wWW0QmJJx2Vbt3evKMb6XDdzMFod7lgLSvz+wvO1b4HXmzBmcPHkS9957Lz7zmc+gXq/j05/+NFZXV3Hpkiwj8+Y3vxn1eh0f+9jH8Gu/9msQQuBjH/sYOOfJMaurq1heXs6df3l5Gaurq7nPta2uruLUqVOZzzRvbHV1dc/A695778VHP/rR5O8LFy7g5ptvxu033bCn8x3YgRXZ9/3Sy3Oeox8t/vw9v/rynH+/2P/+Cp33fZ/Y3XG//jJe8878vu7A/hZat9tFuz2Zg/dSzPM8rKysYPWx/99LPtfKygo870B7zLR9C7xc18Uf/dEf4Sd/8icxPz8PxhjuvvvuTGhyaWkJf/iHf4if+ZmfwW/91m+BUoof+ZEfwZ133gn2/2/v3oOiqt8/gL9Z2YUFlkXlsq4koCBKoJY4tF4SxFQGU8McJULNsbEaL6FjKmJAVjqloYNZDaaOjROGiuOIFnhJShEvgCxiKkSQtgghLuYFUJ7fH/w8uYCyi7Kc/fa8ZvgDzsPZN08+9OGcPed0+/eITlsP7yUi4evPP/88ysvLAQCjRo3CoUOH2vw+4SaBT3HKysbGxuAomoODA4qLi+Hn54c///xTOGVqKerq6vDcc89ZXHZLzQ1YbnZLzQ1YbnZLzQ1YbvbOzk1EuHXrFtRq054jawpbW1uUlZWhoeHxR0yNJZPJDM5cMREvvABg6NChKCgogF6vR0NDA1xcXBAUFITAwEChZty4cSgtLcXff/8Na2trODk5QaVSCUekVCoVrl+/3mrf1dXVwhGsgwcPovH/L3uXy+XC97U8IlZV1Xwa4dErJp+WRCJB797NV9s5Ojpa1C+YR1lqdkvNDVhudkvNDVhudkvNDVhu9s7M3VlHuh5la2vLC6ZOYr6nbT4FpVIJFxcXXLlyBWfPnsXkyZNb1Tg7O8PJyQlHjx5FVVUVJk2aBADQaDTQ6/U4ffq0UJubmwu9Xo/hw5vv7u3h4QFvb294e3sLiyCNRoPs7GyDFX9mZibUanWrU5CMMcYYY8bo0iNe//zzD0pKSoTPy8rKUFBQgB49eqBPnz5IS0uDi4sL+vTpA61Wi0WLFmHKlCkYN26c8D3btm3DwIED4eLigpycHCxatAgxMTHCm+YHDhyICRMm4O2338Y333wDoPl2EhMnTnzsG+uB5ltQJCYmYvbs2YiNjcWVK1fw6aef4sMPPzQ41VhQUCD8LNXV1SgoKIBMJoOfn9+zbBVjjDHG/hdQFzp27Bih+aphg49Zs2YREdHGjRvJ3d2dpFIp9enTh+Li4qi+vt5gH8uWLSM3NzeSSqXk4+ND69evp6amJoOampoaioqKIoVCQQqFgqKioqi2trbdfIWFhTRq1CiysbEhlUpFCQkJrfbdVn4PDw+T+nDv3j2Kj4+ne/fumfR9YmCp2S01N5HlZrfU3ESWm91ScxNZbnZLzc3Mx4rIjDcFYYwxxhj7D7OI93gxxhhjjP0v4IUXY4wxxpiZ8MKLMcYYY8xMeOHFGGOMMWYmvPBqx1dffYVBgwYJN8PTaDTCne2B5rsIJyQkQK1WQy6XIzg4GBcuXDDYR319PRYsWABnZ2fY29tj0qRJuHr1qkFNbW0toqOjoVQqoVQqER0djZs3bxrUVFRU4NVXX4W9vT2cnZ2xcOHCVncW1mq1GD16NORyuXAz2Y5mv3HjBhYsWABfX1/Y2dmhT58+WLhwIfR6vcFrPuvsUqkUUqkUtra2He75o7VhYWGwsrLCvn37RN/zh3JycjBmzBjY29vDyckJwcHBuHv332fFibHnlZWViI6Ohkqlgr29PV588UXs3r27y3u+d+9ejB8/Hs7OzrCyshJuAfMosc5oe9nFOqPG9Pwhsc2osdnNPaNyuRy9e/fGRx99ZJ7nNLLO01WXU1qK/fv3U0ZGBl26dIkuXbpEsbGxJJVKqaioiIiI1q5dSwqFgvbs2UNarZamT59OvXr1orq6OmEf77zzDvXu3ZuysrIoLy+PQkJCaPDgwXT//n2hZsKECeTv708nT56kkydPkr+/P02cOFHYfv/+ffL396eQkBDKy8ujrKwsUqvVNH/+fKFGr9eTm5sbzZgxg7RaLS1fvpzkcjktW7asQ9m1Wi1FRETQ/v37qaSkhI4cOUI+Pj40depUgx496+zJyckUGxtL9vb2tGzZsg71/KEvvviCwsLCCAClp6d3au5n0XMiopMnT5KjoyOtWbOGioqK6PLly5SWlmZweboYez527FgaNmwY5ebmUmlpKa1evZokEgnl5eV1ac937NhBiYmJlJKSQgAoPz+/1b8Tsc5oe9nFOqPG9Pwhsc2oMdm7Yka1Wi3t2bOHFAoFrVu37rH9ZOLHC68O6N69O23ZsoWamppIpVLR2rVrhW337t0jpVJJX3/9NRER3bx5k6RSKaWmpgo1165dI4lEQj/++CMRERUXFxMAOnXqlFCTk5NDAOi3334jIqKDBw+SRCKha9euCTXff/892djYkF6vJyKizZs3k1KpNBj+NWvWkFqtFu4/Zkr2tvzwww8kk8mosbHRrNk7krugoIDc3d1Jp9O1+qUu5p4HBQVRXFzcY/8biLXn9vb2tGPHDoOsPXr0oC1btnRZzx9VVlbW5v9IxTqjxmRvS1fPqCm5xTajxmYXy4wyy8SnGk3w4MEDpKam4vbt29BoNCgrK0NlZaXBnfRtbGwwevRonDx5EgBw7tw5NDY2GtSo1Wr4+/sLNTk5OVAqlQgKChJqXnrpJSiVSoMaf39/gwejjh8/HvX19Th37pxQM3r0aIOHcI8fPx5//fUXSktLTc7eFr1eD0dHR1hbW5ste3Jyssm579y5g8jISGzatAkqlarVzyHWnldVVSE3Nxeurq4YPnw43NzcMHr0aPz6669mzd6Rno8cORK7du3CjRs30NTUhNTUVNTX1yM4OLjLem4Msc5oR3X1jBpLjDNqDLHM6B9//GFUXiY+on5ItlhotVpoNBrcu3cPDg4OSE9Ph5+fnzBALR+a7ebmhvLycgDN73uRyWTo3r17q5qHD+GurKyEq6trq9d1dXU1qGn5Ot27d4dMJjOoafkcyRs3bgAABgwYYHL2lmpqarB69WrMmzdP+FpnZddqtRg5ciQAYOXKlSbnjomJwfDhw9t8rmdn5gaerue///47ACAhIQHr1q3DkCFDsGPHDoSGhqKoqAg+Pj6i7fmuXbswffp09OzZE9bW1rCzs0N6ejr69esnvJ65e24Msc5oR4hhRo0lxhk1RlfOKPDvHFZWVsLLy8uozExc+IiXEXx9fVFQUIBTp07h3XffxaxZs1BcXCxsf/TZjUDzm0Vbfq2lljVt1T+Lmr59+wIAUlJSnip7XV0dwsPD4efnh/j4eINtnZHd19cXP/30EwDgtddeMyn3/v37cfToUWzYsKHVa3Z2buDpet7U1AQAmDdvHt566y288MILSEpKgq+vL7Zu3dqp2Z+m5wAQFxeH2tpaHD58GGfPnsXixYsxbdo0aLXaTs0NtN/zjhDLjBpLbDP6JGKf0Sfpyhl9uP1x38ssAy+8jCCTyeDt7Y3AwECsWbMGgwcPxsaNG4XD4w//OnmoqqpK+KtEpVKhoaEBtbW1T6y5fv16q9etrq42qGn5OrW1tWhsbHxizcOraIKDg03O/tCtW7cwYcIE4S9DqVQqbOus7DKZDPb29gCAxMREk3IfPXoUpaWlcHJygrW1tXDKZerUqcJpL7H2vFevXgDQ6q/vgQMHoqKiolOzP03PS0tLsWnTJmzduhWhoaEYPHgw4uPjERgYiC+//LJTcwOP77kxxDqjphDTjBpDrDNqjK6cUaD53yXQ+gg0sxy88OoAIkJ9fT28vLygUqmQlZUlbGtoaMDx48cxfPhwAMDQoUMhlUoNanQ6HYqKioQajUYDvV6P06dPCzW5ubnQ6/UGNUVFRdDpdEJNZmYmbGxsMHToUKEmOzvb4HLkzMxMqNVq4XC1KdmB5r+ix40bB5lMhv3798PW1tagF+bKbkru5cuXo7CwEAUFBcIHACQlJWHbtm2i7rmnpyfUajUuXbpk0OfLly/Dw8NDtD2/c+cOAEAiMfyV0q1bN+EIQVf03BhinVFjiW1GjSHWGTWGmGaUWahOfvO+xVuxYgVlZ2dTWVkZFRYWUmxsLEkkEsrMzCSi5svslUol7d27l7RaLUVGRrZ5Owl3d3c6fPgw5eXl0ZgxY9q8VH3QoEGUk5NDOTk5FBAQ0Oalx6GhoZSXl0eHDx8md3d3g0uPb968SW5ubhQZGSlcZm5nZ0exsbEdyl5XV0dBQUEUEBBAJSUlpNPphI/OzD537lz6+OOPycHBgZYsWdKhnreEx1yqLraeExElJSWRo6MjpaWl0ZUrVyguLo5sbW2ppKREtD1vaGggb29vGjVqFOXm5lJJSQmtW7eOrKysKCMjo0t7XlNTQ/n5+ZSRkUEAKDU1lfLz80mn0wn7FOuMtpddrDNqTM9bEsuMGpO9K2ZUq9XS3r17ydHRkW8nYeF44dWOOXPmkIeHB8lkMnJxcaHQ0FBhQImImpqaKD4+nlQqFdnY2NDLL79MWq3WYB93796l+fPnU48ePUgul9PEiROpoqLCoKampoaioqJIoVCQQqGgqKgoqq2tNagpLy+n8PBwksvl1KNHD5o/f77BZcZERIWFhTRq1CiysbEhuVxOSqWyw9mPHTtGANr8KCsr67TsEomEJBIJdevWrcM9b6mtX+pi7PlDa9asIXd3d7KzsyONRkO//PJLp2Z/Fj2/fPkyRUREkKurK9nZ2dGgQYNa3V6iK3q+bdu2Nv8Nx8fHCzVindH2sot1Ro3peUtimVFjs5t7Rm1sbEilUlFCQgLfSsLCWRHxLXAZY4wxxsyB3+PFGGOMMWYmvPBijDHGGDMTXngxxhhjjJkJL7wYY4wxxsyEF16MMcYYY2bCCy/GGGOMMTPhhRdjjDHGmJnwwosxxhhjzEx44cUY63Senp7YsGHDE2usrKywb9++Tsuwfft2ODk5ddr+GWPMGLzwYoz9J0yfPh2XL1/u6hiMsf84664OwBhj5iCXyyGXy7s6BmPsP46PeDHGjLJ7924EBARALpejZ8+eGDt2LG7fvo3g4GC8//77BrVTpkzB7NmzDb5269YtvPHGG3BwcIBarUZycnKr19DpdAgLC4NcLoeXlxfS0tIMti9btgz9+/eHnZ0d+vbti1WrVqGxsVHYfv78eYSEhEChUMDR0RFDhw7F2bNnAbQ+1ZiQkIAhQ4bgu+++g6enJ5RKJWbMmIFbt249XaMYY+wJeOHFGGuXTqdDZGQk5syZg4sXL+Lnn39GREQEiMjofXz++ecYNGgQ8vLysGLFCsTExCArK8ugZtWqVZg6dSrOnz+PN998E5GRkbh48aKwXaFQYPv27SguLsbGjRuRkpKCpKQkYXtUVBTc3d1x5swZnDt3DsuXL4dUKn1sptLSUuzbtw8HDhzAgQMHcPz4caxdu9aEzjDGmGn4VCNjrF06nQ73799HREQEPDw8AAABAQEm7WPEiBFYvnw5AKB///44ceIEkpKS8Morrwg106ZNw9y5cwEAq1evRlZWFpKTk7F582YAQFxcnFDr6emJJUuWYNeuXfjggw8AABUVFVi6dCkGDBgAAPDx8XlipqamJmzfvh0KhQIAEB0djSNHjuCTTz4x6WdjjDFj8REvxli7Bg8ejNDQUAQEBGDatGlISUlBbW2tSfvQaDStPn/0aJYxNbt378bIkSOhUqng4OCAVatWoaKiQti+ePFizJ07F2PHjsXatWtRWlr6xEyenp7CogsAevXqhaqqKpN+LsYYMwUvvBhj7erWrRuysrJw6NAh+Pn5ITk5Gb6+vigrK4NEIml1yvHR9109iZWVldE1p06dwowZMxAWFoYDBw4gPz8fK1euRENDg1CbkJCACxcuIDw8HEePHoWfnx/S09Mfu++WpyGtrKzQ1NRkVHbGGOsIXngxxoxiZWWFESNGIDExEfn5+ZDJZEhPT4eLiwt0Op1Q9+DBAxQVFbX6/lOnTrX6/OEpQWNqTpw4AQ8PD6xcuRKBgYHw8fFBeXl5q9fp378/YmJikJmZiYiICGzbtq3DPzNjjD1r/B4vxli7cnNzceTIEYwbNw6urq7Izc1FdXU1Bg4cCHt7eyxevBgZGRno168fkpKScPPmzVb7OHHiBD777DNMmTIFWVlZSEtLQ0ZGhkFNWloaAgMDMXLkSOzcuROnT5/Gt99+CwDw9vZGRUUFUlNTMWzYMGRkZBgczbp79y6WLl2K119/HV5eXrh69SrOnDmDqVOndmpvGGPMFLzwYoy1y9HREdnZ2diwYQPq6urg4eGB9evXIywsDI2NjTh//jxmzpwJa2trxMTEICQkpNU+lixZgnPnziExMREKhQLr16/H+PHjDWoSExORmpqK9957DyqVCjt37oSfnx8AYPLkyYiJicH8+fNRX1+P8PBwrFq1CgkJCQCaT4fW1NRg5syZuH79OpydnREREYHExMRO7w9jjBnLiky5HpwxxhhjjHUYv8eLMcYYY8xMeOHFGGOMMWYmvPBijDHGGDMTXngxxhhjjJkJL7wYY4wxxsyEF16MMcYYY2bCCy/GGGOMMTPhhRdjjDHGmJnwwosxxhhjzEx44cUYY4wxZia88GKMMcYYM5P/AyDVUO+aBlA9AAAAAElFTkSuQmCC", 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", 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    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "ds.Tobs.plot()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.0" - }, - "metadata": { - "interpreter": { - "hash": "a8aa8210cb3d81d2b5c08b30572e78ad19bd30da92b4caf9890388bc07c5e3bf" - } - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/plugins/hype/index.rst b/docs/plugins/hype/index.rst deleted file mode 100644 index 04ee8e58..00000000 --- a/docs/plugins/hype/index.rst +++ /dev/null @@ -1,10 +0,0 @@ -Welcome to the Hype model plugin -================================ - -Examples --------- - -.. toctree:: - - Model - Generate forcing diff --git a/docs/plugins/hype/model.ipynb b/docs/plugins/hype/model.ipynb deleted file mode 100644 index c94152f5..00000000 --- a/docs/plugins/hype/model.ipynb +++ /dev/null @@ -1,433 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![image](https://github.com/eWaterCycle/ewatercycle/raw/main/docs/examples/logo.png)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Running Hype model using eWaterCycle package\n", - "\n", - "This notebook shows how to run [Hype](http://www.smhi.net/hype/wiki/doku.php?id=start) model using a demo use-case." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Load parameter set\n", - "\n", - "The parameter set `demo.zip` should be downloaded from https://sourceforge.net/projects/hype/files/release_hype_5_6_2/ and unzipped.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set_dir = \"\"\n", - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"hype_demo\",\n", - " directory=parameter_set_dir,\n", - " config=\"info.txt\",\n", - " target_model=\"hype\",\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Setting up the model\n", - "\n", - "Note that the model version and the parameterset versions should be compatible." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('feb2021',)" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ewatercycle.models.Hype.available_versions" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "model = ewatercycle.models.Hype(version=\"feb2021\", parameter_set=parameter_set)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "eWaterCycle exposes a selected set of configurable parameters. These can be modified in the `setup()` method." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[('start_time', '1961-01-01T00:00:00Z'),\n", - " ('end_time', '1963-12-31T00:00:00Z'),\n", - " ('crit_time', '1962-01-01T00:00:00Z')]" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.parameters" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Calling `setup()` will start up a container. Be careful with calling it multiple times!" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/tmp/hype_20220607_121055/info.txt', '/tmp/hype_20220607_121055')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg_file, cfg_dir = model.setup(end_time=\"1962-06-30T00:00:00Z\")\n", - "cfg_file, cfg_dir" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[('start_time', '1961-01-01T00:00:00Z'),\n", - " ('end_time', '1962-06-30T00:00:00Z'),\n", - " ('crit_time', '1962-01-01T00:00:00Z')]" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.parameters" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note that the parameters have been changed. A new config file which incorporates these updated parameters has been generated as well. If you want to see or modify any additional model settings, you can acces this file directly. When you're ready, pass the path to the config file to `initialize()`." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "model.initialize(cfg_file)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Running the model\n", - "\n", - "Simply running the model from start to end is straightforward. At each time step we can retrieve information from the model." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1962-06-30T00:00:00Z\r" - ] - } - ], - "source": [ - "discharge = []\n", - "time_range = []\n", - "end_time = model.end_time\n", - "\n", - "while model.time < end_time:\n", - " model.update()\n", - " # The demo parameter set has a single sub catchment so store first value of array\n", - " discharge.append(model.get_value(\"comp outflow olake\")[0])\n", - " time_range.append(model.time_as_datetime.date())\n", - " print(model.time_as_isostr, end=\"\\r\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Interacting with the model\n", - "\n", - "Hype model exposes many variables." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('comp outflow olake',\n", - " 'rec outflow olake',\n", - " 'air temperature',\n", - " 'corrected air temper',\n", - " 'precipitation',\n", - " 'corr precipitation',\n", - " 'subbasin evaporation',\n", - " 'computed runoff',\n", - " 'computed soil water')" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.output_var_names" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Hype is a lumped sub-basin model so there are values per subbasin. The outflow of all sub-basins can be requested with:" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([6.71861417e-05])" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "da = model.get_value(\"comp outflow olake\")\n", - "da" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The model has some info about the sub-basins:" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[1, 1, 'unstructured', (1,), array([0.]), array([0.])]" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "[\n", - " model.bmi.get_grid_size(1),\n", - " model.bmi.get_grid_rank(1),\n", - " model.bmi.get_grid_type(1),\n", - " model.bmi.get_grid_shape(1),\n", - " model.bmi.get_grid_x(1),\n", - " model.bmi.get_grid_y(1),\n", - "]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Inspect the results" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "simulated_discharge = pd.DataFrame(\n", - " {\"simulation\": discharge}, index=pd.to_datetime(time_range)\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "simulated_discharge.plot(figsize=(12, 8))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Cleaning up\n", - "\n", - "Models usually perform some \"wrap up tasks\" at the end of a model run, such as writing the last outputs to disk and releasing memory. In the case of eWaterCycle, another important teardown task is destroying the container in which the model was running. This can free up a lot of resources on your system. Therefore it is good practice to always call `finalize()` when you're done with an experiment." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "model.finalize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "interpreter": { - "hash": "01ca17e9ced11a2af392a5b687ce703e247d5832196a25892ccc3acd549c16f5" - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.9" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/plugins/lisflood/data/Lisvap/.gitignore b/docs/plugins/lisflood/data/Lisvap/.gitignore deleted file mode 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+++ /dev/null @@ -1,567 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![image](https://github.com/eWaterCycle/ewatercycle/raw/main/docs/examples/logo.png)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Generate forcing in eWaterCycle with ESMValTool\n", - "\n", - "This notebooks shows how to generate forcing data for the LISFLOOD model using ERA5 data and [ESMValTool hydrological recipes](https://docs.esmvaltool.org/en/latest/recipes/recipe_hydrology.html#lisflood). More information about data, configuration and installation instructions can be found in the [System setup](https://ewatercycle.readthedocs.io/en/latest/system_setup.html) in the eWaterCycle documentation." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import logging\n", - "import warnings\n", - "\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "logger = logging.getLogger(\"esmvalcore\")\n", - "logger.setLevel(logging.WARNING)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import xarray as xr\n", - "from rich import print\n", - "\n", - "import ewatercycle.forcing" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "tags": [] - }, - "source": [ - "Forcing for LISFLOOD is created using the ESMValTool recipe. It produces one file per each variable: temperature, precipitation, maximum temperature, minimum temperature, u component of wind, v component of wind, surface solar radiation downwards, and dewpoint temperature. Running LISVAP is shown below. For now, LISFLOOD forcing data 'e0', 'es0' and 'et0' are not generated.\n", - "However, the recipe creates LISVAP input data that can be found in `lisflood_forcing.directory`.\n", - "You can set the start and end date, and the region. See [eWaterCycle documentation](https://ewatercycle.readthedocs.io/en/latest/apidocs/ewatercycle.forcing.html#submodules) for more information. " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:ewatercycle.plugins.lisflood.forcing:target_grid was not given, guestimating from shape\n", - "WARNING:ewatercycle.plugins.lisflood.forcing:Parameter `run_lisvap` is set to False. No forcing data will be generated for 'e0', 'es0' and 'et0'. However, the recipe creates LISVAP input data that can be found in /home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/lisflood/esmvaltool_output/tmp1gbd6hehrecipe_lisflood_20230801_113928/work/diagnostic_daily/script.\n" - ] - } - ], - "source": [ - "lisflood_forcing = ewatercycle.forcing.sources[\"LisfloodForcing\"].generate(\n", - " dataset=\"ERA5\",\n", - " start_time=\"1990-01-01T00:00:00Z\",\n", - " end_time=\"1990-12-31T00:00:00Z\",\n", - " shape=\"./data/Rhine/Rhine.shp\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "

    LisfloodForcing(\n",
    -       "    model='lisflood',\n",
    -       "    start_time='1990-01-01T00:00:00Z',\n",
    -       "    end_time='1990-12-31T00:00:00Z',\n",
    -       "    directory=PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/lisflood/esmvaltool_output/tmp1gbd6\n",
    -       "hehrecipe_lisflood_20230801_113928/work/diagnostic_daily/script'),\n",
    -       "    shape=PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/lisflood/esmvaltool_output/tmp1gbd6hehr\n",
    -       "ecipe_lisflood_20230801_113928/work/diagnostic_daily/script/data/Rhine/Rhine.shp'),\n",
    -       "    PrefixPrecipitation='lisflood_ERA5_Rhine_pr_1990_1990.nc',\n",
    -       "    PrefixTavg='lisflood_ERA5_Rhine_tas_1990_1990.nc',\n",
    -       "    PrefixE0='e0.nc',\n",
    -       "    PrefixES0='es0.nc',\n",
    -       "    PrefixET0='et0.nc'\n",
    -       ")\n",
    -       "
    \n" - ], - "text/plain": [ - "\u001b[1;35mLisfloodForcing\u001b[0m\u001b[1m(\u001b[0m\n", - " \u001b[33mmodel\u001b[0m=\u001b[32m'lisflood'\u001b[0m,\n", - " \u001b[33mstart_time\u001b[0m=\u001b[32m'1990-01-01T00:00:00Z'\u001b[0m,\n", - " \u001b[33mend_time\u001b[0m=\u001b[32m'1990-12-31T00:00:00Z'\u001b[0m,\n", - " \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/lisflood/esmvaltool_output/tmp1gbd6\u001b[0m\n", - "\u001b[32mhehrecipe_lisflood_20230801_113928/work/diagnostic_daily/script'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/lisflood/esmvaltool_output/tmp1gbd6hehr\u001b[0m\n", - "\u001b[32mecipe_lisflood_20230801_113928/work/diagnostic_daily/script/data/Rhine/Rhine.shp'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mPrefixPrecipitation\u001b[0m=\u001b[32m'lisflood_ERA5_Rhine_pr_1990_1990.nc'\u001b[0m,\n", - " \u001b[33mPrefixTavg\u001b[0m=\u001b[32m'lisflood_ERA5_Rhine_tas_1990_1990.nc'\u001b[0m,\n", - " \u001b[33mPrefixE0\u001b[0m=\u001b[32m'e0.nc'\u001b[0m,\n", - " \u001b[33mPrefixES0\u001b[0m=\u001b[32m'es0.nc'\u001b[0m,\n", - " \u001b[33mPrefixET0\u001b[0m=\u001b[32m'et0.nc'\u001b[0m\n", - "\u001b[1m)\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print(lisflood_forcing)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plot forcing" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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", 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", 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", 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", 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", 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    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "lisvap_input_files = [\n", - " \"lisflood_ERA5_Rhine_e_1990_1990.nc\",\n", - " \"lisflood_ERA5_Rhine_sfcWind_1990_1990.nc\",\n", - " \"lisflood_ERA5_Rhine_rsds_1990_1990.nc\",\n", - " \"lisflood_ERA5_Rhine_tasmax_1990_1990.nc\",\n", - " \"lisflood_ERA5_Rhine_tasmin_1990_1990.nc\",\n", - "]\n", - "for file_name in [\n", - " lisflood_forcing.PrefixTavg,\n", - " lisflood_forcing.PrefixPrecipitation,\n", - "] + lisvap_input_files:\n", - " dataset = xr.load_dataset(f\"{lisflood_forcing.directory}/{file_name}\")\n", - " var = list(dataset.data_vars.keys())[0]\n", - " dataset[var].isel(time=1).plot(cmap=\"coolwarm\", robust=True, size=5)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Generate forcing using LISVAP\n", - "\n", - "Forcing for LISFLOOD is created using the ESMValTool recipe and LISVAP model.\n", - "ESMValTool recipe produces one file per variable cropped for the catchment:\n", - "temperature, precipitation, maximum temperature, minimum temperature, u\n", - "component of wind, v component of wind, surface solar radiation downwards, and\n", - "dewpoint temperature. Some of these are LISVAP input data. Then, LISVAP\n", - "generates forcing data 'e0', 'es0' and 'et0', again one file per variable but\n", - "with global extents. It also generates global datasets from other forcing files\n", - "and store them in the forcing directory, see the example below. \n", - "\n", - "Running LISVAP needs some model parameters. Currently, ewatercycle supports only\n", - "a global parameter-set with a resolution of 01 degrees masked by six catchments\n", - "(the convex hull shapes). The available version of both LISVAP and LISFLOOD only\n", - "works with this parameter-set. Therefore, we need to prepare some\n", - "LISVAP-specific data and pass them to `ewatercycle.forcing.generate` function.\n", - "\n", - "**Input arguments of LISVAP:**\n", - "\n", - "- lisvap_config: This is a configuration file in `xml` format e.g.\n", - " `settings_lisvap.xml`. A template file is available in\n", - " [comparison-study/lisflood/utils/settings_templates/settings_templates](https://github.com/eWaterCycle/comparison-study/blob/main/lisflood/utils/settings_templates/settings_lisvap.xml)\n", - " and also under its parameter-set directory.\n", - "- mask_map: a mask for the catchment. This file should have a global extent that\n", - " matches our global parameter-set. We explain below how to get this file.\n", - "- version: LISVAP/LISFLOOD model version supported by ewatercycle.\n", - "- parameterset_dir: the directory of the global parameter-set that can be\n", - " obtained by `ewatercycle.parameter_sets.get_parameter_set`.\n", - "\n", - "**Generate convex hull shapefile and mask map:**\n", - "\n", - "For our example below, we want to generate a shapefile and a model mask for\n", - "Doring catchment. The shapefile is passed to ESMValTool recipe whereas the model\n", - "mask to LISVAP. An auxiliary LISFLOOD file called `catchment_masks.nc` is\n", - "available in\n", - "[eWaterCycle/recipes_auxiliary_datasets](https://github.com/eWaterCycle/recipes_auxiliary_datasets/blob/master/LISFLOOD/catchment_masks.nc). \n", - "\n", - "Here we provided a sample code to compute the convex hull of Doring and save it\n", - "as a shape file. Note that you need to install the package `geopandas`:\n", - "\n", - "```python\n", - "import numpy as np\n", - "import xarray as xr\n", - "import shapely as shply\n", - "from geopandas import GeoSeries\n", - "\n", - "masks = xr.open_dataarray(\"./data/Lisvap/catchment_masks.nc\").load()\n", - "buffer = 0.05 # degrees lat/lon\n", - "# Compute convex hull\n", - "lat, lon = [\n", - " masks[v].values[np.where(masks.loc[\"Doring\"].values)[i]]\n", - " for v, i in zip([\"lat\", \"lon\"], [0, 1])\n", - "]\n", - "hull = GeoSeries(\n", - " [shply.geometry.Point(x, y) for x, y in zip(lon, lat)]\n", - ").unary_union.convex_hull.buffer(buffer)\n", - "# Save it to shapefile\n", - "GeoSeries(hull, crs=\"EPSG:4326\").to_file(\"./data/Lisvap/Doring_convex.shp\")\n", - "```\n", - "\n", - "And here we provided a sample code to produce model mask of Doring and save it\n", - "as a Netcdf file:\n", - "\n", - "```python\n", - "import xarray as xr\n", - "masks = xr.open_dataarray(\"./data/Lisvap/catchment_masks.nc\").load()\n", - "doring = masks.sel(basin=\"Doring\")\n", - "doring.to_netcdf(\"./data/Lisvap/model_mask_doring.nc\")\n", - "```\n", - "\n", - "More information is provided by comparison study.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, we get the global parameter-set of LISFLOOD for ERA5 as an example.\n", - "`parameter_set` provides useful information like `directory` and\n", - "`supported_model_versions`:" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
    ParameterSet(\n",
    -       "    name='lisflood_global-masked_01degree_ERA5',\n",
    -       "    directory=PosixPath('/home/verhoes/dcache/parameter-sets/lisflood_global-masked_01degree'),\n",
    -       "    config=PosixPath('/home/verhoes/dcache/parameter-sets/lisflood_global-masked_01degree/settings_lisflood_ERA5.xm\n",
    -       "l'),\n",
    -       "    doi='N/A',\n",
    -       "    target_model='lisflood',\n",
    -       "    supported_model_versions={'20.10'},\n",
    -       "    downloader=None\n",
    -       ")\n",
    -       "
    \n" - ], - "text/plain": [ - "\u001b[1;35mParameterSet\u001b[0m\u001b[1m(\u001b[0m\n", - " \u001b[33mname\u001b[0m=\u001b[32m'lisflood_global-masked_01degree_ERA5'\u001b[0m,\n", - " \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/verhoes/dcache/parameter-sets/lisflood_global-masked_01degree'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mconfig\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/verhoes/dcache/parameter-sets/lisflood_global-masked_01degree/settings_lisflood_ERA5.xm\u001b[0m\n", - "\u001b[32ml'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mdoi\u001b[0m=\u001b[32m'N/A'\u001b[0m,\n", - " \u001b[33mtarget_model\u001b[0m=\u001b[32m'lisflood'\u001b[0m,\n", - " \u001b[33msupported_model_versions\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'20.10'\u001b[0m\u001b[1m}\u001b[0m,\n", - " \u001b[33mdownloader\u001b[0m=\u001b[3;35mNone\u001b[0m\n", - "\u001b[1m)\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "parameter_set = ewatercycle.parameter_sets.available_parameter_sets()[\n", - " \"lisflood_global-masked_01degree_ERA5\"\n", - "]\n", - "print(parameter_set)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Second, we use `ewatercycle.forcing.sources[\"LisfloodForcing\"].generate` together with model specific\n", - "options for LISVAP:" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:ewatercycle.plugins.lisflood.forcing:target_grid was not given, guestimating from shape\n" - ] - } - ], - "source": [ - "lisflood_forcing = ewatercycle.forcing.sources[\"LisfloodForcing\"].generate(\n", - " dataset=\"ERA5\",\n", - " start_time=\"1990-01-01T00:00:00Z\",\n", - " end_time=\"1990-12-31T00:00:00Z\",\n", - " shape=\"./data/Lisvap/Doring_convex.shp\",\n", - " run_lisvap=dict(\n", - " lisvap_config=f\"{parameter_set.directory}/settings_lisvap.xml\",\n", - " mask_map=\"./data/Lisvap/model_mask_doring.nc\",\n", - " version=\"20.10\",\n", - " parameterset_dir=parameter_set.directory,\n", - " ),\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
    LisfloodForcing(\n",
    -       "    model='lisflood',\n",
    -       "    start_time='1990-01-01T00:00:00Z',\n",
    -       "    end_time='1990-12-31T00:00:00Z',\n",
    -       "    directory=PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/lisflood/esmvaltool_output/tmptomxh\n",
    -       "kn8recipe_lisflood_20230801_115555/work/diagnostic_daily/script/reindexed'),\n",
    -       "    shape=PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/lisflood/esmvaltool_output/tmptomxhkn8r\n",
    -       "ecipe_lisflood_20230801_115555/work/diagnostic_daily/script/reindexed/data/Lisvap/Doring_convex.shp'),\n",
    -       "    PrefixPrecipitation='lisflood_ERA5_Doring_convex_pr_1990_1990.nc',\n",
    -       "    PrefixTavg='lisflood_ERA5_Doring_convex_tas_1990_1990.nc',\n",
    -       "    PrefixE0='lisflood_ERA5_Doring_convex_e0_1990_1990.nc',\n",
    -       "    PrefixES0='lisflood_ERA5_Doring_convex_es0_1990_1990.nc',\n",
    -       "    PrefixET0='lisflood_ERA5_Doring_convex_et0_1990_1990.nc'\n",
    -       ")\n",
    -       "
    \n" - ], - "text/plain": [ - "\u001b[1;35mLisfloodForcing\u001b[0m\u001b[1m(\u001b[0m\n", - " \u001b[33mmodel\u001b[0m=\u001b[32m'lisflood'\u001b[0m,\n", - " \u001b[33mstart_time\u001b[0m=\u001b[32m'1990-01-01T00:00:00Z'\u001b[0m,\n", - " \u001b[33mend_time\u001b[0m=\u001b[32m'1990-12-31T00:00:00Z'\u001b[0m,\n", - " \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/lisflood/esmvaltool_output/tmptomxh\u001b[0m\n", - "\u001b[32mkn8recipe_lisflood_20230801_115555/work/diagnostic_daily/script/reindexed'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/lisflood/esmvaltool_output/tmptomxhkn8r\u001b[0m\n", - "\u001b[32mecipe_lisflood_20230801_115555/work/diagnostic_daily/script/reindexed/data/Lisvap/Doring_convex.shp'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mPrefixPrecipitation\u001b[0m=\u001b[32m'lisflood_ERA5_Doring_convex_pr_1990_1990.nc'\u001b[0m,\n", - " \u001b[33mPrefixTavg\u001b[0m=\u001b[32m'lisflood_ERA5_Doring_convex_tas_1990_1990.nc'\u001b[0m,\n", - " \u001b[33mPrefixE0\u001b[0m=\u001b[32m'lisflood_ERA5_Doring_convex_e0_1990_1990.nc'\u001b[0m,\n", - " \u001b[33mPrefixES0\u001b[0m=\u001b[32m'lisflood_ERA5_Doring_convex_es0_1990_1990.nc'\u001b[0m,\n", - " \u001b[33mPrefixET0\u001b[0m=\u001b[32m'lisflood_ERA5_Doring_convex_et0_1990_1990.nc'\u001b[0m\n", - "\u001b[1m)\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print(lisflood_forcing)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Plot forcing" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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", 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7uzvi4uIAAAqFAiEhIfj000+xb98+xMfH4/3334e3tzc6duxokLYSERGVdSG29eElWaCRUWUAQCVJwmCjmliffx+PHz82cO3Kl3LRf2hhYYHo6GiEhYXh6dOnsLe3R+fOnbFx40aVIcKhQ4fi4MGDyteNGzcGAFy7dg2urq7IyclBYmIiMjIylDELFixApUqVEBQUhGfPnqFDhw6IjIyEsbHxq2sgERFROXHp0iXsEmmIMHZWOe8jVcEWmOBDhSvW5983UO3Kn3K7jlhZkp6eDoVCgbS0NM4RIyKiUmXo/+e0NrKEJYzxibFtoff+Fs8wOe8fXEn6Bw4ODq+8buVRuRiaJCIiIsM7cuQITomn6G9krfZ9d8kCzaQqGOLo8YprVn4xESMiIqJiCSEwtHUH9JSqo4akeWbTICMbHBCPce7cuVdYu/KLiRgREREVa8uWLUhBDt41qlFknL1kis6SAoO9W76impVvTMSIiIioSDk5OfjkP33Q38gaFlLxqUMfI2tcEM/wxx9/vILalW9MxIiIiKhIn5jXhjEk+EsKWfFWkjHeM6qBDzp0QX5+finXrnxjIkZEREQapaenY0P+Aww2soGxFqv5d5OqIR152LBhQynWrvxjIkZEREQaDavmBmeYooVURavPmUlGGGBkgzHvD0ZmZmYp1a78YyJGREREav3zzz/YJh4ixLimTntbtpcsYQVjDK/iVAq1qxiYiBEREZFaQ5y94CNVRT3JXKfPG0kShhjVxOb8B7h/n6vtq8NEjIiIiAo5ffo0DonHGGBkU6Jy3jCqDHfJHCE1X9NTzSoWJmJERERUyI4dO9BCqgI7yaTEZQVK1RErnuihVhUPEzEiIiJSy0xPaYKZZAQLl9p6Kaui0bxHAREREf27GQGSifaT9F8m5emhLhUUEzEiIiJSS5IAo0p6SMRQ8jIqKiZiREREpJ6RBMmk5MOTEowAiJLXpwLiHDEiIiIiA2GPGBEREaklGUl6GZo04naTGjERIyIiIvX0NVk/XwKHJtVjIkZERERq6W2yfi4n62vCOWJEREREBsIeMSIiIlJLMpL0MzTJHjGNmIgRERGRevoamjTWQ10qKA5NEhERERkIe8SIiIhILckIkIz10CNmJPGhSQ2YiBEREZF6kgQjPSRiRsYSkKuH+lRATMSIiIhILQn/680qcUGcrK8J54gRERERGQh7xIiIiEg9IwmSsR42/TaWgBw91KcCYiJGREREakkS9DNHTB/DmxUUEzEiIiLSQOIcsVLGOWJEREREBsIeMSIiIlJLMtLT0KQeyqiomIgRERGRepK+FnTVQ10qKCZiREREpJYECZKRHp6aZCamEb8ZIiIiIgNhjxgRERGpJ+npqUkuX6EREzEiIiJSS3/riOmhMhUUvxoiIiIiA2GPGBEREakn6WfTb70Mb1ZQTMSIiIhILUnSz1OTXL9CMyZiREREpJ7eesT0UJcKil8NERERkYGwR4yIiIjUkiRJT09Nco6YJkzEiIiISCOuI1a6mIhRhTd01j3ZsbWdFLLiHB1MZMV5OjyRfe26RpdkxVmlyoszepAi+9p5d+7Iiks9dkZW3Pk1ibKv/U6O/FgierX0NVlfly2OHj9+jClTpmDLli1ITU1F48aNsXDhQjRv3lxt/IEDB+Dn51fo/IULF+Du7q58HRUVhSlTpuDKlSuoW7cuZs2ahZ49e2pdP33hHDEiIiIqc4YOHYo9e/ZgzZo1OHPmDDp16oSOHTsiKSmpyM8lJiYiOTlZedSrV0/5XmxsLHr37o0BAwbg9OnTGDBgAIKCgnDs2LHSbo5GTMSIiIhIvf89NVnyQ7vLPnv2DFFRUZg/fz7atm2L1157DeHh4XBzc8N3331X5Gdr1aoFOzs75WFsbKx8LyIiAv7+/ggNDYW7uztCQ0PRoUMHRERE6PDl6AcTMSIiIlJP0kcSJkGSJAghkJ6ernJkZWWpvWxubi7y8vJgbm6uct7CwgIxMTFFVrlx48awt7dHhw4dsH//fpX3YmNj0alTJ5VzAQEBOHLkiA5fjn4wESMiIqJSl5aWBoVCoXLMmTNHbaylpSV8fX0xY8YM3L59G3l5eVi7di2OHTuG5ORktZ+xt7fH8uXLERUVhejoaDRo0AAdOnTAoUOHlDEpKSmwtbVV+ZytrS1SUuTPqdU3TtYnIiIitSTo76lJhUKBmzdvqpw2MzPT+JE1a9YgODgYtWvXhrGxMZo0aYJ+/frh1KlTauMbNGiABg0aKF/7+vri1q1b+PLLL9G2bVvleUlSbY8QotC5V4k9YkRERKTe/56aLPEhFQxPWllZqRxFJWJ169bFwYMH8eTJE9y6dQtxcXHIycmBm5ub7Or7+Pjg0qX/f9Lczs6uUO9XampqoV6yV4mJGBEREaklSYCRsaSXQ1dVqlSBvb09Hj58iF27diEwMFD2Z+Pj42Fvb6987evriz179qjE7N69G61atdK5fiXFoUkiIiIqc3bt2gUhBBo0aIDLly9j/PjxaNCgAYYMGQIACA0NRVJSElavXg2g4IlIV1dXeHl5ITs7G2vXrkVUVBSioqKUZY4aNQpt27bFvHnzEBgYiG3btmHv3r3FPgBQmspNj1j37t3h7OwMc3Nz2NvbY8CAAbh9+7ZKzKhRo9C0aVOYmZnhjTfekFVu+/btlV2mz48+ffqUQguIiIjKGT0+NamttLQ0fPzxx3B3d8fAgQPRpk0b7N69GyYmBQtqJycnq8w5y87Oxrhx49CoUSO8+eabiImJwS+//IJ3331XGdOqVSts3LgRq1atQqNGjRAZGYlNmzahZcuWJf+udFRuesT8/Pzw2Wefwd7eHklJSRg3bhx69eql8sipEALBwcE4duwY/vrrL9llDxs2DNOnT1e+trCw0GvdiYiIyiNJgl5W1tdli6OgoCAEBQVpfD8yMlLl9YQJEzBhwoRiy+3Vqxd69eqldX1KS7lJxMaMGaP82cXFBZMmTUKPHj2Qk5OjzI4XLVoEALh7965WiVjlypVhZ2en3woTERGVd//rESt5MdxrUpNyMzT5ogcPHmDdunVo1aqVMgkriXXr1sHGxgZeXl4YN24cHj9+XGR8VlZWoUXpiIiIiLRVbnrEAGDixIlYsmQJMjIy4OPjg507d5a4zP79+8PNzQ12dnY4e/YsQkNDcfr06UJPVbxozpw5mDZtWomvTa9GpUrGxQf9j6mpvL9NqpgLWXEmRnmyry1Xvpm8oXOpWk3ZZRqbmhcfBKD6ozRZcU7+/OOEqKLQS4+YPtYiq6AM2iMWHh5eaKL8y8eJEyeU8ePHj0d8fDx2794NY2NjDBw4EELI+x+iJsOGDUPHjh3RsGFD9OnTBz///DP27t2rccE4oOBJjbS0NOVx69atEtWBiIioLJL0uI4YqWfQHrERI0YU+4Siq6ur8mcbGxvY2Nigfv368PDwgJOTE44ePQpfX1+91alJkyYwMTHBpUuX0KRJE7UxZmZmRS5CR0REVCFI+ltZn9QzaCL2PLHSxfOeME0bhurq3LlzyMnJUVkAjoiIiKg0lIs5YnFxcYiLi0ObNm1QvXp1XL16FVOnTkXdunVVesMuX76MJ0+eICUlBc+ePUNCQgIAwNPTE6ampkhKSkKHDh2wevVqtGjRAleuXMG6devQpUsX2NjY4Pz58/j000/RuHFjtG7d2kCtJSIiKiP+NzRZ8mLK5bOBr0S5SMQsLCwQHR2NsLAwPH36FPb29ujcuTM2btyoMkQ4dOhQHDx4UPm6cePGAIBr167B1dUVOTk5SExMREZGBgDA1NQU+/btw8KFC/HkyRM4OTnhnXfeQVhYGIyN5U/wJiIiqrD0Mb+Lc8Q0KheJmLe3N/74449i4w4cOFDk+66uriqT+52cnFQSNyIiIqJXqVwkYkRERPTqSfpa0JUjkxoxESMiIiKNOEesdDERIyIiIrX01SPG5Ss0Y4pKREREZCDsESMiIiL19LZ8BXvENGEiRkREROrpaWV97jWpGRMxqvDsa1eVHetkL2/9uNrVM2TFWZvel33tKg/uyIozfvZEVpwwlv/PO796LVlx5s5OsuJqeT2Sfe1THdrIimuyL0Z2mUSkHxL0lIixR0wjzhEjIiIiMhD2iBEREZF6kgToYY4Yn5rUjIkYERERqSfpaViRQ5MaMREjIiIiDfjUZGnjHDEiIiIiA2GPGBEREamlv70m2SOmCRMxIiIiUk+Cfibrc69JjfjNEBERERkIe8SIiIhIPQ5NljomYkRERKSWBEDSw7CiBCZimjARIyIiIvUkST+LsbJHTCPOESMiIiIyEPaIUYVX295EfmyNTHlx5vI26LZOuy772iapN+UF5mTLChMyN/IGgByLarLijGvYyIqr4mwv+9p2uXmyY4noVdPPgq669Ig9fvwYU6ZMwZYtW5CamorGjRtj4cKFaN68udr46OhofPfdd0hISEBWVha8vLwQHh6OgIAAZUxkZCSGDBlS6LPPnj2Dubm51nXUB/aIERERkXpSwUT7Eh86rKw/dOhQ7NmzB2vWrMGZM2fQqVMndOzYEUlJSWrjDx06BH9/f/z66684efIk/Pz80K1bN8THx6vEWVlZITk5WeUwVBIGsEeMiIiINJL0swaYlmU8e/YMUVFR2LZtG9q2bQsACA8Px9atW/Hdd99h5syZhT4TERGh8nr27NnYtm0bduzYgcaNG/9/VSQJdnZ22rehlLBHjIiIiEqdEALp6ekqR1ZWltrY3Nxc5OXlFeqpsrCwQExMjKzr5efn4/Hjx6hRo4bK+SdPnsDFxQWOjo7o2rVroR6zV42JGBEREakl6W1oEkhLS4NCoVA55syZo/a6lpaW8PX1xYwZM3D79m3k5eVh7dq1OHbsGJKTk2XV/auvvsLTp08RFBSkPOfu7o7IyEhs374dGzZsgLm5OVq3bo1Lly7p5fvSBYcmiYiISD1J0s8WR0ZGUCgUuHlT9aEkMzMzjR9Zs2YNgoODUbt2bRgbG6NJkybo168fTp06VezlNmzYgPDwcGzbtg21av3/g0s+Pj7w8fFRvm7dujWaNGmCxYsXY9GiRTo0rOSYiBEREVGpkyQJVlZWsuPr1q2LgwcP4unTp0hPT4e9vT169+4NNze3Ij+3adMmhISE4KeffkLHjh2LjDUyMkLz5s0N2iPGoUkiIiLSSJIkvRy6qlKlCuzt7fHw4UPs2rULgYGBGmM3bNiAwYMHY/369XjnnXeKLVsIgYSEBNjby19yR9/YI0ZERETq6WtoUodEbNeuXRBCoEGDBrh8+TLGjx+PBg0aKNcBCw0NRVJSElavXg2gIAkbOHAgFi5cCB8fH6SkpAAomOCvUCgAANOmTYOPjw/q1auH9PR0LFq0CAkJCfjmm29K3kYdsUeMiIiI1NPTZH1dFnRNS0vDxx9/DHd3dwwcOBBt2rTB7t27YWJSsEh3cnKyypyzZcuWITc3Fx9//DHs7e2Vx6hRo5Qxjx49wgcffAAPDw906tQJSUlJOHToEFq0aFHy70pH7BEjIiKiMicoKEjliceXRUZGqrw+cOBAsWUuWLAACxYsKGHN9IuJGBEREWmgpwVdOQCnERMxKpE23Q7KirN/zVl2mQ6u8vYzdHGtKivutdr5sq9ta/FIVpz1E3n7Qprfvij72lkXLsiKy8+St9ekudtj2dc2s8+RFyjzF7KJWx3Z13b45AvZsUT0iknQaVixEOZhGjERIyIiIrUkSJD00COmjzIqKn4zRERERAbCHjEiIiJST9LtiUe15ZBaTMSIiIhIPQmQ9LCOmKSPZK6CYiJGREREGkj66c1ij5hGnCNGREREZCDsESMiIiL1JBhsi6N/CyZiREREpAGHJksbhyaJiIiIDIQ9YkRERKSWJEn6eWqSC7pqxESMiIiINNNHEsWhSY2YiBEREZF6+lrQleuIacREjErEwkrextu1aleXXaZD7Sqy4uys5ZVXs8pT2de2zk2RFWdx56qsuOxL8jf9Tj4mb9PvnGfyNuh2yJG5kTeAynIDa9SUFZZTS/4m7+ayI4mIKh4mYkRERKSepK/5XZwjpgkTMSIiItJAX0OTJS+iomIiRkREROpJ0NNkfWZimvCbISIiIjIQ9ogRERGRBlxZv7QxESMiIiL1JIl7TZYyJmJERESkGeeIlSp+M0REREQGUm4Sse7du8PZ2Rnm5uawt7fHgAEDcPv2beX7p0+fRt++feHk5AQLCwt4eHhg4cKFxZablZWFTz75BDY2NqhSpQq6d++Of/75pzSbQkREVD48X1m/pAdHJjUqN4mYn58fNm/ejMTERERFReHKlSvo1auX8v2TJ0+iZs2aWLt2Lc6dO4fPP/8coaGhWLJkSZHljh49Glu2bMHGjRsRExODJ0+eoGvXrsjLyyvtJhEREZV9kpF+DlKr3MwRGzNmjPJnFxcXTJo0CT169EBOTg5MTEwQHBysEl+nTh3ExsYiOjoaI0aMUFtmWloaVq5ciTVr1qBjx44AgLVr18LJyQl79+5FQEBA6TWIiIiI/vXKZYr64MEDrFu3Dq1atYKJiYnGuLS0NNSoUUPj+ydPnkROTg46deqkPOfg4ICGDRviyJEjGj+XlZWF9PR0lYOIiKjCkST9HaRWuekRA4CJEydiyZIlyMjIgI+PD3bu3KkxNjY2Fps3b8Yvv/yiMSYlJQWmpqaoXl11Q2pbW1ukpGje/HnOnDmYNm2a9g2ogKrL3Hnb1l7e5uAAULWKvL8PTE3yZcUJLSYn5BqbyivTVN5W1UKLjbcfJ8tL6B9deiIrzthE/t9ZNjm5suIs3eUN2RtXtpJ97Ufxf8iKk4S8+61o0lH2tYmoOFy+orQZtEcsPDwckiQVeZw4cUIZP378eMTHx2P37t0wNjbGwIEDIYQoVO65c+cQGBiIqVOnwt/fX+t6CSEgFfEfTWhoKNLS0pTHrVu3tL4GERFRmSeBPWKlzKCJ2IgRI3DhwoUij4YNGyrjbWxsUL9+ffj7+2Pjxo349ddfcfToUZUyz58/j7feegvDhg3D5MmTi7y+nZ0dsrOz8fDhQ5XzqampsLW11fg5MzMzWFlZqRxERESkP48fP8bo0aPh4uICCwsLtGrVCsePHy/yMwcPHkTTpk1hbm6OOnXqYOnSpYVioqKi4OnpCTMzM3h6emLLli2l1QRZDDo0aWNjAxsbG50++7wnLCsrS3nu3LlzeOuttzBo0CDMmjWr2DKaNm0KExMT7NmzB0FBQQCA5ORknD17FvPnz9epXkRERBWHZLAFXYcOHYqzZ89izZo1cHBwwNq1a9GxY0ecP38etWvXLhR/7do1dOnSBcOGDcPatWtx+PBhDB8+HDVr1sR//vMfAAXTlnr37o0ZM2agZ8+e2LJlC4KCghATE4OWLVuWuJm6kJWIjR07VuuCJ0+eXOREeW3ExcUhLi4Obdq0QfXq1XH16lVMnToVdevWha+vL4CCJMzPzw+dOnXC2LFjlXO8jI2NUbNmTQBAUlISOnTogNWrV6NFixZQKBQICQnBp59+Cmtra9SoUQPjxo2Dt7e38ilKIiKify0JBpkj9uzZM0RFRWHbtm1o27YtgILpTFu3bsV3332HmTNnFvrM0qVL4ezsjIiICACAh4cHTpw4gS+//FKZiEVERMDf3x+hoaEACqYaHTx4EBEREdiwYUMJGqg7WYlYREQEfH19YWoqbyJzTEwMRowYobdEzMLCAtHR0QgLC8PTp09hb2+Pzp07Y+PGjTAzMwMA/PTTT7h79y7WrVuHdevWKT/r4uKC69evAwBycnKQmJiIjIwM5fsLFixApUqVEBQUhGfPnqFDhw6IjIyEsbGxXupORERUfulv028hRKFVBszMzJT/H39Rbm4u8vLyYG6u+mCUhYUFYmJi1F4iNjZWZRUEAAgICMDKlSuVS13FxsaqLIf1POZ58mYIsocmt2zZglq1asmKtbS01LlC6nh7e+OPP4p+sio8PBzh4eFFxri6uhaa3G9ubo7Fixdj8eLFJa0mERERaZCWlgaFQqFyLiwsTO3/uy0tLeHr64sZM2bAw8MDtra22LBhA44dO4Z69eqpLT8lJaXQ/G5bW1vk5ubi3r17sLe31xhT1EoJpU1WIrZq1apCX15Rli1bVuRkdyIiIioHJH3NEZOgUChw8+ZNldPqesOeW7NmDYKDg1G7dm0YGxujSZMm6NevH06dOlXEZVR77553vrx4Xl1MUSsllDZZidigQYO0KrRfv346VYaIiIjKGD0NTUqSpNUqA3Xr1sXBgwfx9OlTpKenw97eHr1794abm5vaeDs7u0I9W6mpqahUqRKsra2LjCmq8+jdd9+VXefnli5dKnsUUes099atWyqbYsfFxWH06NFYvny5tkURERERFalKlSqwt7fHw4cPsWvXLgQGBqqN8/X1xZ49e1TO7d69G82aNVPuwqMpplWrVhqvv3XrVpiamkKhUMg6fvnlFzx5Im/hbUCH5Sv69euHDz74AAMGDEBKSgr8/f3h5eWFtWvXIiUlBVOnTtW2SCIiIiqLJH2trK99Gbt27YIQAg0aNMDly5cxfvx4NGjQAEOGDAFQ8MRjUlISVq9eDQD46KOPsGTJEowdOxbDhg1DbGwsVq5cqfI05KhRo9C2bVvMmzcPgYGB2LZtG/bu3avxAYDnFi1aJLuH6+eff9aqnVp/M2fPnkWLFi0AAJs3b1buy7h+/XpERkZqWxwRERGVYUKSSnxosdOcUlpaGj7++GO4u7tj4MCBaNOmDXbv3q3s3UpOTlaZc+bm5oZff/0VBw4cwBtvvIEZM2Zg0aJFyqUrAKBVq1bYuHEjVq1ahUaNGiEyMhKbNm0qcg2x/fv3a7UKxG+//aZ2nTNNtO4Ry8nJUU6u27t3L7p37w4AcHd3R3JysrbFERERUVmlt8n62pcRFBSkXGxdHXWdP+3atStyMj8A9OrVC7169ZJdj3bt2smOBYA2bdpoFa91Iubl5YWlS5finXfewZ49ezBjxgwAwO3bt5WT4ejfY/NXrrLilvxaeE9QTYxk/uX0OEPeP+xUo8qyr13JUt5fMUYO8ja/tq4j/5FoS/tEWXF3Tz2SFXfn7D3Z136cIm8+g3Nmtqw4Rb68DboBwNzBWVZcrpW83y/3zx6RfW3rhprnhRARvax9+/YIDg7Ge++9BwsLC72UqXWKOm/ePCxbtgzt27dH37598frrrwMAtm/frhyyJCIioorgfz1iJT4qxqbfTZs2xYQJE2BnZ4dhw4YV2u9aF1onYu3bt8e9e/dw7949/PDDD8rzH3zwgdrNNYmIiKh8EtDPHDGhyySxMuirr75SPiBw9+5dtG3bFp6envjyyy9x584dncrUaeBXCIGTJ09i2bJlePz4MQDA1NQUlSvLHwIiIiKiMk7SV4+YHuaZlRHGxsYIDAzE1q1bkZSUhH79+mHKlClwcnJCjx49it0J6GVazxG7ceMGOnfujJs3byIrKwv+/v6wtLTE/PnzkZmZyV4xIiIiqvDi4uKwatUqbNiwAbVq1cLgwYORnJyMbt264b///S++/PJLWeVonaKOGjUKzZo1w8OHD1UmqvXs2RP79u3TtjgiIiIqyyRJP0cFkJqaiq+++goNGzbEm2++ibt372Ljxo24fv06pk2bhuXLl2Pbtm1adUpp3SMWExODw4cPw9TUVOW8i4sLkpKStC2OiIiIyiq9LehaMRIxR0dH1K1bF8HBwRg8eDBq1qxZKKZFixZo3ry57DK1TsTy8/ORl1f40f1//vkHlpaW2hZHREREZZjQQxKljzLKgn379uHNN98sMsbKygr79++XXabWaa6/vz8iIiKUryVJwpMnTxAWFoYuXbpoWxwRERFRuVBcEqYLrXvEFixYAD8/P3h6eiIzMxP9+vXDpUuXYGNjo7KfExEREZVzeltZv2L0iAEFe0lu3rwZN2/eRHa26iLXxa3qr47W366DgwMSEhIwbtw4fPjhh2jcuDHmzp2L+Ph42RtiEhERUdknIEFIRno5KoJFixZhyJAhqFWrFuLj49GiRQtYW1vj6tWrePvtt3UqU+seMQCwsLBAcHAwgoODdbooERERUXnz7bffYvny5ejbty9+/PFHTJgwAXXq1MHUqVPx4MEDncrUKUVds2YN2rRpAwcHB9y4cQNAwZDltm3bdKoEERERlVF6WbqiYgxN3rx5E61aFexRa2FhoVzUfsCAATpPz9K6R+y7777D1KlTMXr0aMycOVP5BGX16tURERGBwMBAnSpCFduILvL/Ea6QuRxd+hN5G4nn5RvLvraRVFVeYFV5G1VXt5MXBwBVbRWy4kSOvHZnXM+UfW25sUbGV+XFVZL/nct91trITN7OHVnVZN5DIiqeJOlnWLGCzBGzs7PD/fv34eLiAhcXFxw9ehSvv/46rl27BiHk/W5+mdbf7uLFi/H999/j888/R6VK/5/HNWvWDGfOnNGpEkRERFRGcUFXpbfeegs7duwAAISEhGDMmDHw9/dH79690bNnT53K1LpH7Nq1a2jcuHGh82ZmZnj69KlOlSAiIiIq65YvX478/HwAwEcffYQaNWogJiYG3bp1w0cffaRTmVonYm5ubkhISICLi4vK+d9++w2enp46VYKIiIjKIi5f8SIjIyMYvbDTQFBQEIKCgkpUptaJ2Pjx4/Hxxx8jMzMTQgjExcVhw4YNmDNnDlasWFGiyhAREVEZInFl/b/++kt2bKNGjbQuX+tEbMiQIcjNzcWECROQkZGBfv36oXbt2li4cCH69OmjdQWIiIiorNJTj5huizSUCW+88QYkSYIQAlIxCaW6LSCLo1Uilpubi3Xr1qFbt24YNmwY7t27h/z8fC7kSkRERBXStWvXlD/Hx8dj3LhxGD9+PHx9fQEAsbGx+OqrrzB//nydytcqEatUqRL++9//4sKFCwAAGxsbnS5KREREZZ9Awer6JS+n/A5Nvjgn/r333sOiRYtU9tZu1KgRnJycMGXKFPTo0UPr8rXuK2zZsiXi4+O1vhARERGVM5K+tjgqv4nYi86cOQM3N7dC593c3HD+/HmdytR6jtjw4cPx6aef4p9//kHTpk1RpUoVlfd1mahGREREVNZ5eHhg5syZWLlyJczNzQEAWVlZmDlzJjw8PHQqU+tErHfv3gCAkSNHKs+9OIlNl4lqREREVBbpa/mK8jtZ/0VLly5Ft27d4OTkhNdffx0AcPr0aUiShJ07d+pUpk4LuhIREdG/g16GFSvGyCRatGiBa9euYe3atfj7778hhEDv3r3Rr1+/QiOEcmmdiL28kCsRERFVTEJPe02Kcrx8BQB89tln6NGjB1q0aIHKlSvjgw8+0FvZWidi27dvV3tekiSYm5vjtddeUzuRjUiupxnyNk59lJYrszz5vwDy8uRtVv00y0pWnK1tQ9nXrtncW1bca3fTZcWl/HVH9rWfXH4mKy7jvrzNwR9dT5V97UoWZrLiqljI2/Tb0lybv0o5p5WIipecnIyuXbvC2NgY3bp1Q2BgIDp27AgzM3m/v4qidSLWo0cP5ZywF704T6xNmzbYunUrqlevXuIKEhERkQHpZWiyfI9Nrlq1CkIIxMTEYMeOHfj000+RlJQEf39/dO/eHV27dtV5SS+t+wr37NmD5s2bY8+ePUhLS0NaWhr27NmDFi1aYOfOnTh06BDu37+PcePG6VQhIiIiKisMs3xFbm4uJk+eDDc3N1hYWKBOnTqYPn26csNtdQYPHgxJkgodXl5eypjIyEi1MZmZxff2S5KEN998E/Pnz8fff/+NuLg4+Pj44Pvvv0ft2rXRtm1bfPnll0hKStKqrVr3iI0aNQrLly9Hq1atlOc6dOgAc3NzfPDBBzh37hwiIiIQHBysbdFERERUhghIBlnQdd68eVi6dCl+/PFHeHl54cSJExgyZAgUCgVGjRql9jMLFy7E3Llzla9zc3Px+uuv47333lOJs7KyQmJiosq550tRaMPDwwMeHh6YMGECUlNTsWPHDuX0LW06o7ROxK5cuQIrq8LzY6ysrHD16lUAQL169XDv3j1tiyYiIiJCbGwsAgMD8c477wAAXF1dsWHDBpw4cULjZxQKBRQKhfL11q1b8fDhQwwZMkQlTpIk2NnZ6bW+tWrVQkhICEJCQrT+rNZDk02bNsX48eNx9+5d5bm7d+9iwoQJaN68OQDg0qVLcHR01LoyREREVIZI0NvQpBAC6enpKkdWVpbay7Zp0wb79u3DxYsXARSs1RUTE6OytVBxVq5ciY4dOxZa7eHJkydwcXGBo6MjunbtqtVuQZmZmfjiiy/QpUsXNGvWDE2aNFE5dKF1j9jKlSsRGBgIR0dHODk5QZIk3Lx5E3Xq1MG2bdsAFDRyypQpOlWIiIiIygpJTxPtJaSlpan0WAFAWFgYwsPDC0VPnDgRaWlpcHd3h7GxMfLy8jBr1iz07dtX1tWSk5Px22+/Yf369Srn3d3dERkZCW9vb6Snp2PhwoVo3bo1Tp8+jXr16hVbbnBwMPbs2YNevXqhRYsWkPTw3WidiDVo0AAXLlzArl27cPHiRQgh4O7uDn9/fxgZFXSw6bLpJREREZU9+lkDzAgKhQI3b95UOatp+YdNmzZh7dq1WL9+Pby8vJCQkIDRo0fDwcEBgwYNKvZqkZGRqFatWqF8xMfHBz4+PsrXrVu3RpMmTbB48WIsWrSo2HJ/+eUX/Prrr2jdunWxsXJpnYgBBeOrnTt3Rvv27WFmZqaXjJCIiIgqLkmS1M4xV2f8+PGYNGkS+vTpAwDw9vbGjRs3MGfOnGITMSEEfvjhBwwYMACmpqZFxhoZGaF58+a4dOmSrHrVrl0blpaWsmLl0jrNzc/Px4wZM1C7dm1UrVpVueXRlClTsHLlSr1WjoiIiAynYGV9/RzayMjIUI6yPWdsbFzk8hXPHTx4EJcvX5Y1cV4IgYSEBNjb28uq11dffYWJEyfixo0bsuLl0DoRmzlzJiIjIzF//nyVTNPb2xsrVqzQW8WIiIjI0Ayzjli3bt0wa9Ys/PLLL7h+/Tq2bNmCr7/+Gj179lTGhIaGYuDAgYU+u3LlSrRs2RINGxbe2WTatGnYtWsXrl69ioSEBISEhCAhIQEfffSRrHo1a9YMmZmZqFOnDiwtLVGjRg2VQxdaD02uXr0ay5cvR4cOHVQq3qhRI/z99986VYKIiIjoucWLF2PKlCkYPnw4UlNT4eDggA8//BBTp05VxiQnJxeac5aWloaoqCgsXLhQbbmPHj3CBx98gJSUFCgUCjRu3BiHDh1CixYtZNWrb9++SEpKwuzZs2Fra2uYyfpJSUl47bXXCp3Pz89HTk5OiStENKqbvP+wxyxR/9hzSWRmFj2f4LkHFvL2pKxrLX+tmppu7rLibDxuFh8EIDNN3v6RgPy9Jp8lyfvOH1o9lH1t0yry9mozra4oPgiAiVU12dcmouIZYkFXS0tLREREICIiQmNMZGRkoXMKhQIZGRkaP7NgwQIsWLBAq7q86MiRI4iNjcXrr7+ucxkv03po0svLC3/++Weh8z/99BMaN26sl0oRERGR4Qk9DU2W970mn3N3d8ezZ/L/yJVD6x6xsLAwDBgwAElJScjPz0d0dDQSExOxevVq7Ny5U6+VIyIiIgOSoPX8LnX00atWFsydOxeffvopZs2aBW9vb5iYmKi8L/ep0BdpnYh169YNmzZtwuzZsyFJEqZOnYomTZpgx44d8Pf317oCREREROVB586dARTssf0iIQQkSUJeXp7WZeq0jlhAQAACAgJ0+SgRERGVEwKGmSNWVu3fv1/vZeqUiBEREdG/QcEcsZLSx/BmWdCuXTu9lykrEatevbrsRzQfPHhQogoRERFRWSHpqTerYiRiQMHG33/99RdSU1MLLTDbvXt3rcuTlYi9+Pjo/fv3MXPmTAQEBMDX1xcAEBsbi127dnGjbyIiIqqwfv/9dwwcOBD37t0r9F6pzhF7cV+n//znP5g+fTpGjBihPDdy5EgsWbIEe/fuxZgxY7SuBBEREZU9AtDT0KQ+Ng43vBEjRuC9997D1KlTYWtrq5cytf5mdu3apXxq4EUBAQHYu3evXiqlTvfu3eHs7Axzc3PY29tjwIABuH37tvL906dPo2/fvnBycoKFhQU8PDw0rqz7ovbt20OSJJXj+SajRERE/24FQ5MlPyqG1NRUjB07Vm9JGKBDImZtbY0tW7YUOr9161ZYW1vrpVLq+Pn5YfPmzUhMTERUVBSuXLmCXr16Kd8/efIkatasibVr1+LcuXP4/PPPERoaiiVLlhRb9rBhw5CcnKw8li1bVmrtICIiKjck6GmvyYrRI9arVy8cOHBAr2Vq/dTktGnTEBISggMHDijniB09ehS///57qW76/eKQp4uLCyZNmoQePXogJycHJiYmCA4OVomvU6cOYmNjER0drTKMqk7lypVhZyd/KxoiIiL691myZAnee+89/Pnnn2oXdB05cqTWZWqdiA0ePBgeHh5YtGgRoqOjIYSAp6cnDh8+jJYtW2pdAV08ePAA69atQ6tWrQp9CS9KS0uTtRv6unXrsHbtWtja2uLtt99GWFgYLC0tNcZnZWUhK+v/99xLT0/XrgFERETlgOBTkyrWr1+PXbt2wcLCAgcOHFBZUUKSpFeTiAFAy5YtsW7dOl0+WiITJ07EkiVLkJGRAR8fnyK3VIqNjcXmzZvxyy+/FFlm//794ebmBjs7O5w9exahoaE4ffo09uzZo/Ezc+bMwbRp03RuB+lH5rNcWXHPnsrfHDwnW94TL5VM5G36nfKkquxr16nhJCuusqu8OOv78v9ASPvnsaw4i2ryNuiubF1Z9rVNqpjLipOK+KNLRW6O7Gs/PRItK+6Zlb2suCxT+fe7dn1v2bFEhqSXLY4qyDpikydPxvTp0zFp0iQYGelnuFVWKdr2+Dx+LO+Xenh4eKGJ8i8fJ06cUMaPHz8e8fHx2L17N4yNjTFw4EAIUXgK4Llz5xAYGIipU6cWu+3SsGHD0LFjRzRs2BB9+vTBzz//jL179+LUqVMaPxMaGoq0tDTlcevWLVntJSIiovIrOzsbvXv31lsSBmixoGtycjJq1aolq9DatWsjISEBderUKTJuxIgRxT6h6OrqqvzZxsYGNjY2qF+/Pjw8PODk5ISjR48q56oBwPnz5/HWW29h2LBhmDx5sqz6vqhJkyYwMTHBpUuX0KRJE7UxZmZmMDOT1zNARERUXglIEEIPPWIV5LHJQYMGYdOmTfjss8/0VqasREwIgRUrVqBqVXnd7jk58oYGnidWunjeE/biXK1z587hrbfewqBBgzBr1iydyj137hxycnJgby9vKIKIiKgiE9ovsFAqZZQFeXl5mD9/Pnbt2oVGjRoVmqf+9ddfa12mrETM2dkZ33//vexC7ezsipxEr624uDjExcWhTZs2qF69Oq5evYqpU6eibt26yt6wc+fOwc/PD506dcLYsWORkpICADA2NkbNmjUBAElJSejQoQNWr16NFi1a4MqVK1i3bh26dOkCGxsbnD9/Hp9++ikaN26M1q1b663+RERE5ZN+JutXlE2/z5w5g8aNGwMAzp49q/Ke3K0gXyYrEbt+/bpOheuLhYUFoqOjERYWhqdPn8Le3h6dO3fGxo0blUOEP/30E+7evYt169apPEjg4uKirH9OTg4SExORkZEBADA1NcW+ffuwcOFCPHnyBE5OTnjnnXcQFhYGY2N5k7GJiIjo32H//v16L1OnpyZfNW9vb/zxxx9FxoSHhyM8PLzIGFdXV5XJ/U5OTjh48KA+qkhERFThCFSc3qyyqmIM2hIREVGp0M8WR+U3mXv33Xe1Wj2if//+SE1NlR1fLnrEiIiIyBA4R2zbtm24e/eurFghBHbs2IEZM2bIXmmCiRgRERGRBkII1K9fv9TKZyJGREREagkBPa0jVn57xHSZoF+7dm3ZsTolYn/++SeWLVuGK1eu4Oeff0bt2rWxZs0auLm5oU2bNroUSURERGVO+Z7fpQ/t2rUr1fK1nqwfFRWFgIAAWFhYID4+Xrmg6uPHjzF79my9V5CIiIiootK6R2zmzJlYunQpBg4ciI0bNyrPt2rVCtOnT9dr5YiK8t34arLi3htzTXaZuTnyNv02MpL3F+KdR/I3gX7gJq8ru4qrvLkK1WXucAEAr1WSt26esam8XxnGZqayr21mXU1WXKX/LcxcLIsqsq8NSd7fopVy5W0cL2SWBwB3z8fJK1Pm38u1PJvJvjaRXPpavuLf3qtWFK0TscTERLRt27bQeSsrKzx69EgfdSIiIqIygolY6dJ6aNLe3h6XL18udD4mJqbYTb6JiIioPCnY9FsfR3m1fft22Xto60LrROzDDz/EqFGjcOzYMUiShNu3b2PdunUYN24chg8fXhp1JCIion+R3NxcTJ48GW5ubrCwsECdOnUwffp05Ofna/zMgQMHIElSoePvv/9WiYuKioKnpyfMzMzg6emJLVu2FFmXnj17Kkf8jI2NtVqsVQ6thyYnTJiAtLQ0+Pn5ITMzE23btoWZmRnGjRuHESNG6LVyREREZDgCQL5ehia1M2/ePCxduhQ//vgjvLy8cOLECQwZMgQKhQKjRo0q8rOJiYmwsrJSvq75wvzS2NhY9O7dGzNmzEDPnj2xZcsWBAUFISYmBi1btlRbXs2aNXH06FF069YNQgidN/fWRKflK2bNmoXPP/8c58+fR35+Pjw9PVG1qvxJyURERFQ+GGKOWGxsLAIDA/HOO+8AKNgresOGDThx4kSxn61VqxaqVaum9r2IiAj4+/sjNDQUABAaGoqDBw8iIiICGzZsUPuZjz76CIGBgcoeNjs7O43XzsuT98DXi3Re0LVy5cpo1oxP6RAREVVUAvqZ31UwT0wU2rPRzMwMZmZmheLbtGmDpUuX4uLFi6hfvz5Onz6NmJgYREREFHutxo0bIzMzE56enpg8eTL8/PyU78XGxmLMmDEq8QEBAUWWGx4ejj59+uDy5cvo3r07Vq1apTHR04WsROzdd9+VXWB0dLTOlSEiIqKKKS0tDQqFQuVcWFgYwsPDC8VOnDgRaWlpcHd3h7GxMfLy8jBr1iz07dtXY/n29vZYvnw5mjZtiqysLKxZswYdOnTAgQMHlKs9pKSkwNbWVuVztra2SElJKbLu7u7ucHd3R1hYGN577z1UrlxZZquLJysRe/GLE0Jgy5YtUCgUyh6xkydP4tGjR1olbERERFT26WfpCQkKhQI3b95UOauuNwwANm3ahLVr12L9+vXw8vJCQkICRo8eDQcHBwwaNEjtZxo0aIAGDRooX/v6+uLWrVv48ssvVZbdenmOlzbzvsLCwpCbm4u9e/fiypUr6NevHywtLXH79m1YWVnpNE1LViK2atUq5c8TJ05EUFAQli5dCmPjgkUg8/LyMHz4cJXJcURERFS+6WvpCYGC+VVy84Tx48dj0qRJ6NOnDwDA29sbN27cwJw5czQmYur4+Phg7dq1ytd2dnaFer9SU1ML9ZJpcuPGDXTu3Bk3b95EVlYW/P39YWlpifnz5yMzMxNLly6VXbfntF6+4ocffsC4ceOUSRhQ8Djn2LFj8cMPP2hdASIiIiq7xP/2myzZoZ2MjAwYGammKMbGxkUuX6FOfHw87O3tla99fX2xZ88elZjdu3ejVatWssobNWoUmjVrhocPH8LCwkJ5vmfPnti3b59WdXtO68n6ubm5uHDhgkr3HwBcuHBB6y+IiIiI6GXdunXDrFmz4OzsDC8vL8THx+Prr79GcHCwMiY0NBRJSUlYvXo1gIInIl1dXeHl5YXs7GysXbsWUVFRiIqKUn5m1KhRaNu2LebNm4fAwEBs27YNe/fuRUxMjKx6xcTE4PDhwzA1Vd3GzcXFBUlJSTq1VetEbMiQIQgODsbly5fh4+MDADh69Cjmzp2LIUOG6FQJIiIiKpv09dSkNhYvXowpU6Zg+PDhSE1NhYODAz788ENMnTpVGZOcnKwy5yw7Oxvjxo1DUlISLCws4OXlhV9++QVdunRRxrRq1QobN27E5MmTMWXKFNStWxebNm3SuIbYy/Lz89UuUfHPP//A0tJSqzY+p3Ui9uWXX8LOzg4LFixAcnIygIInFSZMmIBPP/1Up0oQlaaMx09lx+bm5MqKy8mSt93FvQe1ZF/7rkMNWXE1bFxlxVXNk78lh6L4EK1IxvI2EQcAoyoyN+m2qiYrLN9c/qbf+ZXkb04uh3FetuzYGo3e1Ou1iUpDwYKu+ilHG5aWloiIiChyWYnIyEiV1xMmTMCECROKLbtXr17o1auXljUq4O/vj4iICCxfvhxAwcT/J0+eICwsTCXh04bWiZiRkZGysc/XA+EkfSIiIqroFixYAD8/P3h6eiIzMxP9+vXDpUuXYGNjo3FB2OLovKArwASMiIioYtPfgq4VgYODAxISErBhwwacOnUK+fn5CAkJQf/+/VUm72tD60TMzc2tyPU2rl69qlNFiIiIqGwRMMwWR2WZhYUFgoODVR4cSE5Oxvjx47FkyRKty9M6ERs9erTK65ycHMTHx+P333/H+PHjta4AERERlVFCX5P19VAXAzt//jz2798PExMTBAUFoVq1arh37x5mzZqFpUuXws3NTadytU7ENO16/s0338jajJOIiIioPNm5cyf+85//ICen4CGo+fPn4/vvv0dQUBAaNmyIn376CV27dtWpbK0XdNXk7bffVlmrg4iIiMo3/SzmKgHlfGhy1qxZ+Oijj5Ceno4vv/wSV69exUcffYSoqCjs379f5yQM0GMi9vPPP6NGDXmP3xMREVH5kC/0cBi6ESV04cIFfPzxx6hatSpGjhwJIyMjREREqOxhqSuthyYbN26sMllfCIGUlBTcvXsX3377bYkrRERERGUDJ+sXSE9PR7Vq1QAAlSpVgoWFBerXr6+XsrVOxAIDA1USMSMjI9SsWRPt27eHu7u7XipFREREVJacP39euWG4EAKJiYl4+lR1wfBGjRppXa7WiVh4eLjWFyEiIqJySOhnHTFUgHXEOnToAPHC45/P54VJkgQhBCRJUrv9UXG0TsSMjY2RnJyMWrVUt265f/8+atWqpVMliIiIqGzSx9IT5X35imvXrpVa2VonYkLDt5mVlVVoN3IiIiKi8s7FxaXUypadiC1atAhAQRfcihUrULVqVeV7eXl5OHToEOeIUZmU+SRDdmz2syxZcXI3B09Lk7/x9sNMc1lxGZbVZMVV1mLza9mbdBvJe9BaqmQi+9qoYikrLM/KWlZchpW97Etnmsq7dpaRvK1LhBYPovMZcyoPCjb9LvmwYnl/arJ27dp466234OfnBz8/P50Xb1VHdiK2YMECAAU9YkuXLoXxC7+4TU1N4erqiqVLl+qtYkRERGRYAnraJ7KczxH76KOPcPDgQXzyySfIzMyEk5OTSmLm6Oioc9myE7Hn46N+fn6Ijo5G9erVdb4oERERlQNCT3PESl6EQU2ZMgVTpkxBTk4OYmNjceDAARw8eBAffvghsrKyUKdOHbz11ltYtmyZ1mVrvaDr/v37mYQRERHRv46JiQnatm2LqVOnYt++fUhKSkJoaChSU1OxYsUKncqU1SM2duxYzJgxA1WqVMHYsWOLjP366691qggRERGVNRIXdH1BZmYmDh8+jAMHDuDAgQM4fvw4XF1d0bt3b7Rr106nMmUlYvHx8cqNLk+dOqWyoCsRERFVTAIFWxSVlD7KMKSwsDDs378fx48fR506ddCuXTuMGDEC7dq1g52dXYnKlpWI7d+/X/nzgQMHSnRBIiIiKj84WR+YMWMGnJ2dsWDBArz33nuwtpb3FLccWs8RCw4OxuPHjwudf/r0KYKDg/VSKSIiIqKy4tdff0WfPn0QGRkJBwcHeHt745NPPsHPP/+Mu3fvlqhsrROxH3/8Ec+ePSt0/tmzZ1i9enWJKkNERERlhxD6O8qzzp07Y+7cuTh69Cju3buHefPmoXLlypg/fz4cHR3h5eWFESNG6FS27OUr0tPTIYSAEAKPHz+Gufn/Lz6Zl5eHX3/9tdC2R0RERFR+cUHXwiwtLdGlSxcEBAQgLi4O27dvx7fffovvvvsOS5Ys0bo82YlYtWrVIEkSJElC/fr1C70vSRKmTZumdQWIiIio7CrvvVn6kp+fjxMnTmD//v04cOAADh8+jKdPn8LR0RE9e/aEn5+fTuXKTsT2798PIQTeeustREVFoUaN/9+gw9TUFC4uLnBwcNCpEkRERERlVZcuXXD48GE8fvwYDg4OaN++PRYsWAA/Pz/UqVOnRGXLTsSer49x7do1ODk5wUjmnnNERERUTglJL09N6uXJSwNSKBT44osv4Ofnh3r16um1bNmJ2HPPdyDPyMjAzZs3kZ2drfJ+o0aN9FMzIj3Jy82THZv1tPCDKCXx8L78DcfvpcvbBvqxVTVZcdVN5W1UDUBl79iiSMbyfmVIpqayrw0zefXMrixvR4/H5jayL/0kX96m34+zKsuKa+1ZVfa1icoDriNWYMOGDaVWttbdWnfv3kXXrl1haWkJLy8vNG7cWOUgIiIiqki6dOmCtLQ05etZs2bh0aNHytf379+Hp6enTmVrnYiNHj0aDx8+xNGjR2FhYYHff/8dP/74I+rVq4ft27frVAkiIiIqm/SydEU57xH7/fffkZWVpXw9b948PHjwQPk6NzcXiYmJOpWt9dDkH3/8gW3btqF58+YwMjKCi4sL/P39YWVlhTlz5uCdd97RqSJERERUthTkUNxr8mVCj4+Sat0j9vTpU+V6YTVq1FCuKOvt7Y1Tp07prWJERERkWEIUzO/Sx6GN3NxcTJ48GW5ubrCwsECdOnUwffp05OdrXpEsOjoa/v7+qFmzJqysrODr64tdu3apxERGRiqX4nrxyMzM1OXr0Qute8QaNGiAxMREuLq64o033sCyZcvg6uqKpUuXwt7evjTqSERERP8i8+bNw9KlS/Hjjz/Cy8sLJ06cwJAhQ6BQKDBq1Ci1nzl06BD8/f0xe/ZsVKtWDatWrUK3bt1w7NgxlTnsVlZWhYYRX1ykXp3nCdvL5/RB60Rs9OjRSE5OBlCwG3lAQADWrVsHU1NTREZG6qVSREREVDboaxROCIH09HSVc2ZmZjAzMysUGxsbi8DAQOV0J1dXV2zYsAEnTpzQWH5ERITK69mzZ2Pbtm3YsWOHSiImSRLs7Oy0rvvgwYOVdc3MzMRHH32EKlWqAIDK/DFtaZ2I9e/fX/lz48aNcf36dfz9999wdnaGjY38x8aJiIio7NNHIiYEkJaWBoVCoXI+LCwM4eHhheLbtGmDpUuX4uLFi6hfvz5Onz6NmJiYQslWUfLz8/H48WOVBegB4MmTJ3BxcUFeXh7eeOMNzJgxo9hVHwYNGqTy+v333y8UM3DgQNl1e5HWidjLKleujCZNmpS0GCIiIipjhJCQr4fFWPOFBIVCgZs3b6qcV9cbBgATJ05EWloa3N3dYWxsjLy8PMyaNQt9+/aVfc2vvvoKT58+RVBQkPKcu7s7IiMj4e3tjfT0dCxcuBCtW7fG6dOni1yoddWqVbKvqy1ZidjYsWNlF/j111/rXJmidO/eHQkJCUhNTUX16tXRsWNHzJs3T7mt0v3799G/f3/89ddfuH//PmrVqoXAwEDMnj0bVlZWGsvNysrCuHHjsGHDBjx79gwdOnTAt99+C0dHx1JpBxER0b+RJElF/v/4RZs2bcLatWuxfv16eHl5ISEhAaNHj4aDg0Oh3il1NmzYgPDwcGzbtk35gCEA+Pj4wMfHR/m6devWaNKkCRYvXoxFixZp3yg9kJWIxcfHyypMXxPX1PHz88Nnn30Ge3t7JCUlYdy4cejVqxeOHDkCADAyMkJgYCBmzpyJmjVr4vLly/j444/x4MEDrF+/XmO5o0ePxo4dO7Bx40ZYW1vj008/RdeuXXHy5EnZq40TERFVVPoamtTG+PHjMWnSJPTp0wdAwcoMN27cwJw5c4pNxDZt2oSQkBD89NNP6NixY5GxRkZGaN68OS5duqRdBfVIViK2f//+0q5HscaMGaP82cXFBZMmTUKPHj2Qk5MDExMTVK9eHf/9739VYoYPH44vvvhCY5lpaWlYuXIl1qxZo7xZa9euhZOTE/bu3YuAgAC1n8vKylKZmPfy5EMiIqKKQLkg6yuWkZFRaE9rY2PjIpevAAp6woKDg7FhwwZZ65oKIZCQkABvb+8S1bckSjxHzBAePHiAdevWoVWrVjAxMVEbc/v2bURHRys3K1fn5MmTyMnJQadOnZTnHBwc0LBhQxw5ckRjIjZnzhxMmzatZI2gV+bAz76yY9t0O6jXaz+4k1Z80P/cTJLXZW+rkPdQTJXqr8m+tq2LzHrm58oKE5L8JQpzq1STFffMXN5ek0+F/P0eH+fI20MyPUv9PBaiis5Qe01269YNs2bNgrOzM7y8vBAfH4+vv/4awcHBypjQ0FAkJSVh9erVAAqSsIEDB2LhwoXw8fFBSkoKAMDCwkL5kMC0adPg4+ODevXqIT09HYsWLUJCQgK++eabkjdSR1ov6GpIEydORJUqVWBtbY2bN29i27ZthWL69u2LypUro3bt2rCyssKKFSs0lpeSkgJTU1NUr676C97W1lZ5A9UJDQ1FWlqa8rh165bujSIiIiIVixcvRq9evTB8+HB4eHhg3Lhx+PDDDzFjxgxlTHJyssrk/2XLliE3Nxcff/wx7O3tlceL6449evQIH3zwATw8PNCpUyckJSXh0KFDaNGixStt34sMmoiFh4erXeH2xePFNUPGjx+P+Ph47N69G8bGxhg4cGChbQYWLFiAU6dOYevWrbhy5YpWDxo8J4Qocr6bmZkZrKysVA4iIqKKSAhJL4c2LC0tERERgRs3buDZs2e4cuUKZs6cCVNTU2VMZGQkDhw4oHx94MABCCEKHS+ucbpgwQLcuHEDWVlZSE1Nxa5du+DrK3/UpDQYdGhyxIgRyol4mri6uip/trGxgY2NDerXrw8PDw84OTnh6NGjKl+inZ0d7Ozs4O7uDmtra7z55puYMmWK2lX/7ezskJ2djYcPH6r0iqWmpqJVq1YlbyAREVF5pq85YuV80+/SZNBE7HlipYvnPWFFrWZbXEzTpk1hYmKCPXv2KNcZSU5OxtmzZzF//nyd6kVEREQkV7mYrB8XF4e4uDi0adMG1atXx9WrVzF16lTUrVtX2Rv266+/4s6dO2jevDmqVq2K8+fPY8KECWjdurWyVy0pKQkdOnTA6tWr0aJFCygUCoSEhODTTz+FtbU1atSogXHjxsHb27vYR16JiIgqOr1N1i95ERVWuUjELCwsEB0djbCwMDx9+hT29vbo3LkzNm7cqFyV18LCAt9//z3GjBmDrKwsODk54d1338WkSZOU5eTk5CAxMREZGRnKcwsWLEClSpUQFBSkXNA1MjKSa4gRERHBMOuI/ZuUi0TM29sbf/zxR5Exfn5+ysVdNXF1dS00ud/c3ByLFy/G4sWLS1xPIiKiikRv64gxEdOoXC1fQURERFSRlIseMSIiInr1DLWg678JEzEiIiJST09Dk8zDNGMiRkRERGoJAMVs7yivHD42qRHniBEREREZCHvEiF4Qs0PzJvEvkrs5+IPku7KvfSXRQlacuXktWXHCzU32tbOdzOVdO/+prDiz3Izig/4nx1jehtrpRjVkxcndyBsAMvPk/QrM03J7FqIKQ19Dkxyb1IiJGBEREWnERKx0cWiSiIiIyEDYI0ZERERq6Wv5CnaIacZEjIiIiNQqWFm/5GmUPsqoqJiIERERkUacI1a6OEeMiIiIyEDYI0ZERERqCaGnBV3ZI6YREzEiIiLSiEOTpYuJGBEREaklBDf9Lm2cI0ZERERkIOwRIyIiIo30MqzIHjGNmIgRERGRWkIICD2MK3IdMc2YiBGVon0bW8iO9e9/UlacZCRvA+q8PBvZ1850dZQVV6Nylqy49g3lbWBORGUf54iVLs4RIyIiIjIQ9ogRERGRWgVbHOmjID2UUUExESMiIiKN8vUwrpjPOWIacWiSiIiIyECYiBEREZFaz4cm9XFoIzc3F5MnT4abmxssLCxQp04dTJ8+HfnF7Ld08OBBNG3aFObm5qhTpw6WLl1aKCYqKgqenp4wMzODp6cntmzZol3l9IyJGBEREWlkiERs3rx5WLp0KZYsWYILFy5g/vz5+OKLL7B48WKNn7l27Rq6dOmCN998E/Hx8fjss88wcuRIREVFKWNiY2PRu3dvDBgwAKdPn8aAAQMQFBSEY8eO6fr1lBjniBEREZFaAkIv87u0XUcsNjYWgYGBeOeddwAArq6u2LBhA06cOKHxM0uXLoWzszMiIiIAAB4eHjhx4gS+/PJL/Oc//wEAREREwN/fH6GhoQCA0NBQHDx4EBEREdiwYYMOLSs59ogRERFRqRNCID09XeXIylK/NmGbNm2wb98+XLx4EQBw+vRpxMTEoEuXLhrLj42NRadOnVTOBQQE4MSJE8jJySky5siRIyVpWomwR4yIiIjUE4AoelqWvGIEkJaWBoVCoXI+LCwM4eHhheInTpyItLQ0uLu7w9jYGHl5eZg1axb69u2r8RopKSmwtbVVOWdra4vc3Fzcu3cP9vb2GmNSUlJ0b1wJMREjIiIitQrmd+ljaBJQKBS4efOmynkzMzO18Zs2bcLatWuxfv16eHl5ISEhAaNHj4aDgwMGDRqk8TqSpLrzyPO6v3heXczL514lJmJERESkUTEPKsoiREECZGVlJSt+/PjxmDRpEvr06QMA8Pb2xo0bNzBnzhyNiZidnV2hnq3U1FRUqlQJ1tbWRca83Ev2KnGOGBEREZUpGRkZMDJSTVGMjY2LXL7C19cXe/bsUTm3e/duNGvWDCYmJkXGtGrVSk811x57xIh0ELOjnd7L3LOuqd7L1D9u5k30b6K/oUntyujWrRtmzZoFZ2dneHl5IT4+Hl9//TWCg4OVMaGhoUhKSsLq1asBAB999BGWLFmCsWPHYtiwYYiNjcXKlStVnoYcNWoU2rZti3nz5iEwMBDbtm3D3r17ERMTU+I26oqJGBEREWmkhx2OtF5HbPHixZgyZQqGDx+O1NRUODg44MMPP8TUqVOVMcnJySpzztzc3PDrr79izJgx+Oabb+Dg4IBFixYpl64AgFatWmHjxo2YPHkypkyZgrp162LTpk1o2bJliduoK0noI9X9l0tPT4dCoUBaWprs8W8iIiJdvKr/58ycORObf0tEt5AVJS7r1qXDOLQhGNevXy95xSoYzhEjIiIiMhAOTRIREZFG+hg349ibZkzEiIiISC0hgHw9TBIT+phoVkFxaJKIiIjIQNgjRkRERBrpZfkKPdSjomIiRkRERGoJfe01qYcyKiomYkRERKSBQL4eesT0UUZFxTliRERERAbCHjEiIiJSS19bHHH9Cs2YiBEREZFaQgi9LF/BoUnNmIgRERGRRuwQK12cI0ZERERkIOwRIyIiIvWEnlbFZ4+YRkzEiIiISC0B/czv4hwxzTg0SURERGQg7BEjIiIi9YTQy9AkN/3WjIkYERERqSX0NkeMiZgmTMSIiIhIrYI5YiUvhx1imnGOGBEREZGBlJtErHv37nB2doa5uTns7e0xYMAA3L59W/n+/fv30blzZzg4OMDMzAxOTk4YMWIE0tPTiyy3ffv2kCRJ5ejTp09pN4eIiKjs+9/QZIkP9ohpVG4SMT8/P2zevBmJiYmIiorClStX0KtXL+X7RkZGCAwMxPbt23Hx4kVERkZi7969+Oijj4ote9iwYUhOTlYey5YtK82mEBERlRMCQpT8YCamWbmZIzZmzBjlzy4uLpg0aRJ69OiBnJwcmJiYoHr16vjvf/+rEjN8+HB88cUXxZZduXJl2NnZlUq9iYiIyishoJ+9JjlJTKNy0yP2ogcPHmDdunVo1aoVTExM1Mbcvn0b0dHRaNeuXbHlrVu3DjY2NvDy8sK4cePw+PHjIuOzsrKQnp6uchARERFpq1wlYhMnTkSVKlVgbW2NmzdvYtu2bYVi+vbti8qVK6N27dqwsrLCihUriiyzf//+2LBhAw4cOIApU6YgKioK7777bpGfmTNnDhQKhfJwcnIqUbuIiIjKJv0MTQoOTWpk0EQsPDy80ET5l48TJ04o48ePH4/4+Hjs3r0bxsbGGDhwYKGbu2DBApw6dQpbt27FlStXMHbs2CLrMGzYMHTs2BENGzZEnz598PPPP2Pv3r04deqUxs+EhoYiLS1Nedy6datkXwQREVEZJPQ2WZ+JmCYGnSM2YsSIYp9QdHV1Vf5sY2MDGxsb1K9fHx4eHnBycsLRo0fh6+urjLGzs4OdnR3c3d1hbW2NN998E1OmTIG9vb2sOjVp0gQmJia4dOkSmjRpojbGzMwMZmZmssojIiIqt/S1oGt+yYuoqAyaiD1PrHTxPLvOysoqUczLzp07h5ycHNmJGxEREZGuysVTk3FxcYiLi0ObNm1QvXp1XL16FVOnTkXdunWVvWG//vor7ty5g+bNm6Nq1ao4f/48JkyYgNatWyt71ZKSktChQwesXr0aLVq0wJUrV7Bu3Tp06dIFNjY2OH/+PD799FM0btwYrVu3NmCLiYiIDE9AIF8Pw4r54NCkJuVisr6FhQWio6PRoUMHNGjQAMHBwWjYsCEOHjyoHCK0sLDA999/jzZt2sDDwwOjR49G165dsXPnTmU5OTk5SExMREZGBgDA1NQU+/btQ0BAABo0aICRI0eiU6dO2Lt3L4yNjQ3SViIiojJDX3PEtBzedHV1VTtv/OOPP1YbP3jwYLXxXl5eypjIyEi1MZmZmSX6ikqqXPSIeXt7448//igyxs/PD0eOHCkyxtXVVWXCoJOTEw4ePKiXOhIREZF+HD9+HHl5ecrXZ8+ehb+/P9577z218QsXLsTcuXOVr3Nzc/H6668XireyskJiYqLKOXNzcz3WXHvlIhEjIiKiV08A+nniUcsyatasqfJ67ty5qFu3rsa1QZ8vJ/Xc1q1b8fDhQwwZMkQlTpKkMreAe7kYmiQiIiIDEAL5+Xo4REFC9/Ji6HIepsvOzsbatWsRHBwMSZJkVXvlypXo2LEjXFxcVM4/efIELi4ucHR0RNeuXREfH6/T16JPTMSIiIhILb2tI5YvkJaWprIYukKhwJw5c4qtw9atW/Ho0SMMHjxYVp2Tk5Px22+/YejQoSrn3d3dERkZie3bt2PDhg0wNzdH69atcenSJV2+Gr3h0CQRERGVOoVCgZs3b6qck7Mm58qVK/H222/DwcFB1nUiIyNRrVo19OjRQ+W8j48PfHx8lK9bt26NJk2aYPHixVi0aJGssksDEzEiIiLSQF+r4gtIkgQrKyutPnXjxg3s3bsX0dHR8q4iBH744QcMGDAApqamRcYaGRmhefPm7BEjIiKisqlgaLLky+Lrujr/qlWrUKtWLbzzzjuy4g8ePIjLly8jJCSk+DoJgYSEBHh7e+tUN31hIkZEREQaFEy2LyldysjPz8eqVaswaNAgVKqkmq6EhoYiKSkJq1evVjm/cuVKtGzZEg0bNixU3rRp0+Dj44N69eohPT0dixYtQkJCAr755hut66ZPTMSIiIiozNm7dy9u3ryJ4ODgQu8lJycXmm+WlpaGqKgoLFy4UG15jx49wgcffICUlBQoFAo0btwYhw4dQosWLUql/nIxESMiIiK1hNDTOmI6bHHUqVMnjdeOjIwsdE6hUCh3zlFnwYIFWLBggdb1KG1MxIiIiEg9ofv8LpVi9FBGRcV1xIiIiIgMhD1iREREpIH2G3arLYUdYhoxESMiIiK1hBDIFyVfvkIfZVRUTMSIiIhILQE9ze/iHDGNOEeMiIiIyEDYI0ZERETq6eupSU4S04iJGBEREakn9LPXJPMwzZiIERERkVoCBVsNlbgcTtbXiHPEiIiIiAyEPWJERESkntDTOmJ8alIjJmJERESkloDQy7AiJ+trxkSMiIiI1ONTk6WOc8SIiIiIDIQ9YkRERKSW0FOPGFfW14yJGBEREWmgr70mmYhpwqFJIiIiIgNhjxgRERGppa+hSU7W14yJGBEREaknBIQeVtbnHDHNmIgRERGRevpa0JU9YhpxjhgRERGRgbBHjIiIiNQS0M+G3dz0WzMmYkRERKSWEAL5ehia5PIVmjERIyIiIo04Wb90cY4YERERkYGwR4yIiIjU09dTk+wR04iJGBEREaklhNDPZH0wEdOEiRgRERFpxB6x0sU5YkREREQGwh4xIiIiUk9fWxxxHTGN2CNGREREhTg6OuLxw/MQ+bklLiv9wRk8SLfUQ60qHiZiREREVEj//v0hAKTc+qVE5eRkPcI/l9dje/Ri/VSsgmEiRkRERIWYmJhgw9pFuJUYidzcDJ3LuXVpNaxqNEL79u31V7kKhIkYERERqRUYGAiLqo5IurJRp88/e/IP7tzciZj9K/Rcs4qDiRgRERGpJUkSdv2yHLevbkZW5j2tP38j8XvUdAyAp6dnKdSuYmAiRkRERBr5+Pigei0f3EpcpdXn0h+ew8PUY4g/uqyUalYxMBEjIiKiIh37cwXuJu1BxuNrsuKFELh+/jvUrtMb9vb2pVy78o2JGBERERWpbt26sHXphusX5PVuPUj5E5kZt3H+1JJSrln5x0SMiIiIivVX3FKkPziDR/dOFRmXn5+L638vx5JFc1C1atVXVLvyi4kYERERFcvGxgaOr/XH9QtLi9wI/M7NHZAkYwQHB7/C2pVfTMSIiIhIlgunIpCT9Qh3k/apfT835yluXfwRmzcsQaVK3EVRDiZiREREJIuFhQVWLP8SNxNXID8vq9D7SVc2wKKqC9555x0D1K58YiJGREREsvXv3x+VTCxx+/oWlfNZz1Jx+9rP2LdrBSRJMlDtyh8mYkRERCSbkZERtkZ9h38urUFOdpry/M3EH1DDtjWaNWtmwNqVP+UmEevevTucnZ1hbm4Oe3t7DBgwALdv31Ybe//+fTg6OkKSJDx69KjIcrOysvDJJ5/AxsYGVapUQffu3fHPP/+UQguIiIgqho4dO8Kyuhf+ubQWAPA0/Qru3d6P44e5lZG2yk0i5ufnh82bNyMxMRFRUVG4cuUKevXqpTY2JCQEjRo1klXu6NGjsWXLFmzcuBExMTF48uQJunbtiry8PH1Wn4iIqEI5tG8FUm5sQ+bT27h+YSnsXAPh6upq6GqVO5IQQhi6ErrYvn07evTogaysLJiYmCjPf/fdd9i0aROmTp2KDh064OHDh6hWrZraMtLS0lCzZk2sWbMGvXv3BgDcvn0bTk5O+PXXXxEQECCrLunp6VAoFEhLS4OVlVWJ20ZERKRJWfp/jq3zO3jy6AKyM+8h9c4NVK9e3aD1KY/K5bOlDx48wLp169CqVSuVJOz8+fOYPn06jh07hqtXrxZbzsmTJ5GTk4NOnTopzzk4OKBhw4Y4cuSIxkQsKysLWVn//7RIWlrBGHl6erquTSIiIpLl+f9rykI/yqnY5XB2eQ3O9YcwCdNRuUrEJk6ciCVLliAjIwM+Pj7YuXOn8r2srCz07dsXX3zxBZydnWUlYikpKTA1NS30H4+trS1SUlI0fm7OnDmYNm1aofNOTk5atIaIiEh39+/fh0KhMGgdateujbzcZwatQ3ln0EQsPDxcbULzouPHjyufwBg/fjxCQkJw48YNTJs2DQMHDsTOnTshSRJCQ0Ph4eGB999/v8T1EkIU+ehtaGgoxo4dq3z96NEjuLi44ObNmwb/R6EP6enpcHJywq1btwze7V1SFaktANtTllWktgBsT1mWlpYGZ2dn1KhRw9BVIT0waCI2YsQI9OnTp8iYFyf+2djYwMbGBvXr14eHhwecnJxw9OhR+Pr64o8//sCZM2fw888/A/j/LlsbGxt8/vnnahM+Ozs7ZGdn4+HDhyq9YqmpqWjVqpXGOpmZmcHMzKzQeYVCUe7/gb/IysqqwrSnIrUFYHvKsorUFoDtKcuMjMrN83ZUBIMmYs8TK108T7Sez9WKiorCs2f/3z16/PhxBAcH488//0TdunXVltG0aVOYmJhgz549CAoKAgAkJyfj7NmzmD9/vk71IiIiIpKrXMwRi4uLQ1xcHNq0aYPq1avj6tWrmDp1KurWrQtfX18AKJRs3bt3DwDg4eGhfGoyKSkJHTp0wOrVq9GiRQsoFAqEhITg008/hbW1NWrUqIFx48bB29sbHTt2fKVtJCIion+fcpGIWVhYIDo6GmFhYXj69Cns7e3RuXNnbNy4Ue0QoSY5OTlITExERkaG8tyCBQtQqVIlBAUF4dmzZ+jQoQMiIyNhbGwsu1wzMzOEhYVpVZeyrCK1pyK1BWB7yrKK1BaA7SnLKlJbqByvI0ZERERU3nGmHxEREZGBMBEjIiIiMhAmYkREREQGwkSMiIiIyECYiL3k0KFD6NatGxwcHCBJErZu3ary/pMnTzBixAg4OjrCwsICHh4e+O6774otNyoqCp6enjAzM4Onpye2bNlSSi1QVRrtiYyMhCRJhY7MzMxSbEnxbblz5w4GDx4MBwcHVK5cGZ07d8alS5eKLbes3htd2mOoezNnzhw0b94clpaWqFWrFnr06IHExESVGCEEwsPD4eDgAAsLC7Rv3x7nzp0rtmxD3J/Sao8h7o+ctkRHRyMgIAA2NjaQJAkJCQmyyi6r90aX9pTVfzs5OTmYOHEivL29UaVKFTg4OGDgwIG4fft2sWUb6ncbaYeJ2EuePn2K119/HUuWLFH7/pgxY/D7779j7dq1uHDhAsaMGYNPPvkE27Zt01hmbGwsevfujQEDBuD06dMYMGAAgoKCcOzYsdJqhlJptAcoWJ06OTlZ5TA3Ny+NJigV1RYhBHr06IGrV69i27ZtiI+Ph4uLCzp27IinT59qLLOs3htd2wMY5t4cPHgQH3/8MY4ePYo9e/YgNzcXnTp1Uqnr/Pnz8fXXX2PJkiU4fvw47Ozs4O/vj8ePH2ss11D3p7TaA7z6+yOnLU+fPkXr1q0xd+5c2eWW5XujS3uAsvlvJyMjA6dOncKUKVNw6tQpREdH4+LFi+jevXuR5RrydxtpSZBGAMSWLVtUznl5eYnp06ernGvSpImYPHmyxnKCgoJE586dVc4FBASIPn366K2ucuirPatWrRIKhaIUaijfy21JTEwUAMTZs2eV53Jzc0WNGjXE999/r7GcsnpvdG1PWbg3QgiRmpoqAIiDBw8KIYTIz88XdnZ2Yu7cucqYzMxMoVAoxNKlSzWWU1buj77aUxbuz8ttedG1a9cEABEfH19sOWX13rxIm/aUhXsjRNHteS4uLk4AEDdu3NAYU1buDxWPPWJaatOmDbZv346kpCQIIbB//35cvHgRAQEBGj8TGxuLTp06qZwLCAjAkSNHSru6xdKlPUDBkKaLiwscHR3RtWtXxMfHv6Iaq/d8q6sX/3o1NjaGqakpYmJiNH6urN4bXdsDlI17k5aWBgDKTYmvXbuGlJQUle/azMwM7dq1K/K7Liv3R1/tAQx/f15ui67K6r0pCUPfG0Bee9LS0iBJknLXGHXKyv2h4jER09KiRYvg6ekJR0dHmJqaonPnzvj222/Rpk0bjZ9JSUmBra2tyjlbW1ukpKSUdnWLpUt73N3dERkZie3bt2PDhg0wNzdH69atZc3HKi3u7u5wcXFBaGgoHj58iOzsbMydOxcpKSlITk7W+Lmyem90bU9ZuDdCCIwdOxZt2rRBw4YNAUD5fWr7XZeF+6PP9hj6/qhri67K6r3RlaHvDSCvPZmZmZg0aRL69etX5OblZeH+kDzlYoujsmTRokU4evQotm/fDhcXFxw6dAjDhw+Hvb19kftTSpKk8loIUeicIejSHh8fH/j4+Chft27dGk2aNMHixYuxaNGiV1V1FSYmJoiKikJISAhq1KgBY2NjdOzYEW+//Xaxny2L90bX9pSFezNixAj89ddfanvudPmuDX1/9NkeQ9+fotqii7J8b7Rl6HsDFN+enJwc9OnTB/n5+fj222+LLc/Q94fkYSKmhWfPnuGzzz7Dli1b8M477wAAGjVqhISEBHz55ZcaExc7O7tCf4WkpqYW+mvlVdO1PS8zMjJC8+bNDdojBgBNmzZFQkIC0tLSkJ2djZo1a6Jly5Zo1qyZxs+U1XsD6Nael73qe/PJJ59g+/btOHToEBwdHZXn7ezsABT8lW5vb688X9x3bej7o+/2vOxV3h9NbdFVWb03+lJW/u08l5OTg6CgIFy7dg1//PFHkb1hgOHvD8nHoUkt5OTkICcnB0ZGql+bsbEx8vPzNX7O19cXe/bsUTm3e/dutGrVqlTqKZeu7XmZEAIJCQkq/0MyJIVCgZo1a+LSpUs4ceIEAgMDNcaW1XvzIm3a87JXdW+EEBgxYgSio6Pxxx9/wM3NTeV9Nzc32NnZqXzX2dnZOHjwYJHftaHuT2m1R911Svv+FNcWXZXVe6PP65SFfzvA/ydhly5dwt69e2FtbV1sueXhdxv9zyt8MKBcePz4sYiPjxfx8fECgPj6669FfHy88umUdu3aCS8vL7F//35x9epVsWrVKmFubi6+/fZbZRkDBgwQkyZNUr4+fPiwMDY2FnPnzhUXLlwQc+fOFZUqVRJHjx4tl+0JDw8Xv//+u7hy5YqIj48XQ4YMEZUqVRLHjh0zaFs2b94s9u/fL65cuSK2bt0qXFxcxLvvvqtSRnm6N7q0x1D35r///a9QKBTiwIEDIjk5WXlkZGQoY+bOnSsUCoWIjo4WZ86cEX379hX29vYiPT1dY3sMdX9Kqz2GuD9y2nL//n0RHx8vfvnlFwFAbNy4UcTHx4vk5GSNbSnL90aX9pTVfzs5OTmie/fuwtHRUSQkJKjEZGVlaWyPIX+3kXaYiL1k//79AkChY9CgQUIIIZKTk8XgwYOFg4ODMDc3Fw0aNBBfffWVyM/PV5bRrl07ZfxzP/30k2jQoIEwMTER7u7uIioqqty2Z/To0cLZ2VmYmpqKmjVrik6dOokjR44YvC0LFy4Ujo6OwsTERDg7O4vJkyer/KJS1xYhyu690aU9hro36toBQKxatUoZk5+fL8LCwoSdnZ0wMzMTbdu2FWfOnCmyPUIY5v6UVnsMcX/ktGXVqlVqY8LCwjS2RYiye290aU9Z/bfzfAkOdcf+/fs1tkcIw/1uI+1IQgihe38aEREREemKc8SIiIiIDISJGBEREZGBMBEjIiIiMhAmYkREREQGwkSMiIiIyECYiBEREREZCBMxIiIiIgNhIkZERERkIEzEiF6x9u3bY/To0RXquoMHD0aPHj1KVIarqyskSYIkSXj06JHGuMjISFSrVq1E1yorIiMjlW02xH8TRGR4TMSI/iWio6MxY8YM5WtXV1dEREQYrkJqTJ8+HcnJyVAoFIauyivRu3dvJCcnw9fX19BVISIDqWToChDRq1GjRg1DV6FYlpaWsLOzM3Q1AAA5OTkwMTEp1WtYWFjAwsICpqampXodIiq72CNGZGAPHz7EwIEDUb16dVSuXBlvv/02Ll26pHz/+VDcrl274OHhgapVq6Jz585ITk5WxuTm5mLkyJGoVq0arK2tMXHiRAwaNEhluPDFocn27dvjxo0bGDNmjHJoDADCw8PxxhtvqNQvIiICrq6uytd5eXkYO3as8loTJkzAy1vWCiEwf/581KlTBxYWFnj99dfx888/6/T9REZGwtnZGZUrV0bPnj1x//79QjE7duxA06ZNYW5ujjp16mDatGnIzc1Vvv/333+jTZs2MDc3h6enJ/bu3QtJkrB161YAwPXr1yFJEjZv3oz27dvD3Nwca9euBQCsWrUKHh4eMDc3h7u7O7799luVayclJaF3796oXr06rK2tERgYiOvXryvfP3DgAFq0aIEqVaqgWrVqaN26NW7cuKHTd0FEFQ8TMSIDGzx4ME6cOIHt27cjNjYWQgh06dIFOTk5ypiMjAx8+eWXWLNmDQ4dOoSbN29i3LhxyvfnzZuHdevWYdWqVTh8+DDS09OVSYY60dHRcHR0VA4FvpjUFeerr77CDz/8gJUrVyImJgYPHjzAli1bVGImT56MVatW4bvvvsO5c+cwZswYvP/++zh48KD8LwbAsWPHEBwcjOHDhyMhIQF+fn6YOXOmSsyuXbvw/vvvY+TIkTh//jyWLVuGyMhIzJo1CwCQn5+PHj16oHLlyjh27BiWL1+Ozz//XO31Jk6ciJEjR+LChQsICAjA999/j88//xyzZs3ChQsXMHv2bEyZMgU//vgjgIL74ufnh6pVq+LQoUOIiYlRJsrZ2dnIzc1Fjx490K5dO/z111+IjY3FBx98oEx8iYggiOiVateunRg1apQQQoiLFy8KAOLw4cPK9+/duycsLCzE5s2bhRBCrFq1SgAQly9fVsZ88803wtbWVvna1tZWfPHFF8rXubm5wtnZWQQGBqq9rhBCuLi4iAULFqjULSwsTLz++usq5xYsWCBcXFyUr+3t7cXcuXOVr3NycoSjo6PyWk+ePBHm5ubiyJEjKuWEhISIvn37avxe1NWnb9++onPnzirnevfuLRQKhfL1m2++KWbPnq0Ss2bNGmFvby+EEOK3334TlSpVEsnJycr39+zZIwCILVu2CCGEuHbtmgAgIiIiVMpxcnIS69evVzk3Y8YM4evrK4QQYuXKlaJBgwYiPz9f+X5WVpawsLAQu3btEvfv3xcAxIEDBzS2W4jC94aI/j04R4zIgC5cuIBKlSqhZcuWynPW1tZo0KABLly4oDxXuXJl1K1bV/na3t4eqampAIC0tDTcuXMHLVq0UL5vbGyMpk2bIj8/X6/1TUtLKzS5vFKlSmjWrJlyePL8+fPIzMyEv7+/ymezs7PRuHFjra534cIF9OzZU+Wcr68vfv/9d+XrkydP4vjx48oeMKBg+DQzMxMZGRlITEyEk5OTytyzF7+rFzVr1kz58927d3Hr1i2EhIRg2LBhyvO5ubnKhwlOnjyJy5cvw9LSUqWczMxMXLlyBZ06dcLgwYMREBAAf39/dOzYEUFBQbC3t9fqeyCiiouJGJEBiZfmVr14/sXhq5cnjUuSVOizLw93aSq7KEZGRoU+9+IQqRzPk79ffvkFtWvXVnnPzMxMq7LktCE/Px/Tpk3Du+++W+g9c3PzQt9lUapUqaJSLgB8//33KokyUJDoPo9p2rQp1q1bV6ismjVrAiiYYzZy5Ej8/vvv2LRpEyZPnow9e/bAx8dHVp2IqGJjIkZkQJ6ensjNzcWxY8fQqlUrAMD9+/dx8eJFeHh4yCpDoVDA1tYWcXFxePPNNwEU9AjFx8cXmnj/IlNTU+Tl5amcq1mzJlJSUlSSl4SEBJVr2dvb4+jRo2jbti2Agh6ikydPokmTJso2mZmZ4ebNm2jXrp2sNmji6emJo0ePqpx7+XWTJk2QmJiI1157TW0Z7u7uuHnzJu7cuQNbW1sAwPHjx4u9tq2tLWrXro2rV6+if//+amOaNGmCTZs2oVatWrCystJYVuPGjdG4cWOEhobC19cX69evZyJGRACYiBEZVL169RAYGIhhw4Zh2bJlsLS0xKRJk1C7dm0EBgbKLueTTz7BnDlz8Nprr8Hd3R2LFy/Gw4cPi+wJcnV1xaFDh9CnTx+YmZnBxsYG7du3x927dzF//nz06tULv//+O3777TeVJGPUqFGYO3cu6tWrBw8PD3z99dcqC7BaWlpi3LhxGDNmDPLz89GmTRukp6fjyJEjqFq1KgYNGiS7XSNHjkSrVq0wf/589OjRA7t371YZlgSAqVOnomvXrnBycsJ7770HIyMj/PXXXzhz5gxmzpwJf39/1K1bF4MGDcL8+fPx+PFj5WT94nrKwsPDMXLkSFhZWeHtt99GVlYWTpw4gYcPH2Ls2LHo378/vvjiCwQGBmL69OlwdHTEzZs3ER0djfHjxyMnJwfLly9H9+7d4eDggMTERFy8eBEDBw6U/R0QUcXGpyaJDGzVqlVo2rQpunbtCl9fXwgh8Ouvv2q1htXEiRPRt29fDBw4EL6+vqhatSoCAgJgbm6u8TPTp0/H9evXUbduXeUwmoeHB7799lt88803eP311xEXF6fydCYAfPrppxg4cCAGDx4MX19fWFpaFprHNWPGDEydOhVz5syBh4cHAgICsGPHDri5uWnxzQA+Pj5YsWIFFi9ejDfeeAO7d+/G5MmTVWICAgKwc+dO7NmzB82bN4ePjw++/vpruLi4ACgYRty6dSuePHmC5s2bY+jQocoyivp+AGDo0KFYsWIFIiMj4e3tjXbt2iEyMlLZjsqVK+PQoUNwdnbGu+++Cw8PDwQHB+PZs2ewsrJC5cqV8ffff+M///kP6tevjw8++AAjRozAhx9+qNX3QEQVlyR0mUhCRGVafn4+PDw8EBQUpLKaflnm6uqK0aNHv5Ktfg4fPow2bdrg8uXLKg9BGEr79u3xxhtvlLmdDoio9LFHjKgCuHHjBr7//ntcvHgRZ86cwX//+19cu3YN/fr1M3TVtDJx4kRUrVoVaWlpei13y5Yt2LNnD65fv469e/figw8+QOvWrQ2ehK1btw5Vq1bFn3/+adB6EJHhcI4YUQVgZGSEyMhIjBs3DkIINGzYEHv37pU94b8sOHjwoPIJzZeXgyipx48fY8KECbh16xZsbGzQsWNHfPXVV3q9hi66d++ufCKzomxkTkTa4dAkERERkYFwaJKIiIjIQJiIERERERkIEzEiIiIiA2EiRkRERGQgTMSIiIiIDISJGBEREZGBMBEjIiIiMhAmYkREREQG8n88eX/llEZJjgAAAABJRU5ErkJggg==", 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no1atWkhISAAAODg4IDQ0FGPHjsXvv/+OxMREvPvuu6hXrx7at29vlLYSERGZulC3Gqgj2aK+mR0AwEKSMMjMFT8U3EFGRoaRa2c6ykSfnq2tLWJjYxEeHo6HDx/Cw8MDnTp1wrp16zSG7YYMGYI9e/ao3zdo0AAAcOnSJfj5+UGlUiEpKQmZmZnqmHnz5sHCwgI9e/ZEVlYW2rVrh6ioKJibmz+7BhIREZUR586dw3aRhvnmPhrHm0kVsBGW+J+DH34ouGOk2pmWMrtOlilJT0+Hg4MD0tLSOCeLiIgMytj/z2lhVgmVYI6PzN0KffaPyMLk/H9xIflfeHp6PvO6mZoyMVxIRERExnfgwAEcEw/Rz8xZ6+e1JFs0lipgsFfAM66ZaWKSRURERCUSQmBIi3Z4U3KEk1T0bKOBZi7YLTJw6tSpZ1g708Qki4iIiEq0ceNGpEKFHmZOxcZ5SFboJDlgUL1XnlHNTBeTLCIiIiqWSqXCR2/1Rj8zZ9hKJacOvc2ccUZkYdeuXc+gdqaLSRYREREV6yObqjCHhA6Sg6x4e8kc75g54b12nVFQUGDg2pkuJllERERUpPT0dKwtuItBZi4w12GV+a5SZaQjH2vXrjVg7UwbkywiIiIq0tDK/vCBFZpKFXQ6z1oyQ38zF4x+dxCys7MNVDvTxiSLiIiItPr333+xWdxDqLmrXnsltpEqwR7mGFbB2wC1M31MsoiIiEirwT510EyqiBclG73ON5MkDDZzxfqCu7hzp/ytAs8ki4iIiAr566+/sFdkoL+ZS6nKednMDrUkG4S6vqBQzcoOJllERERUyM8//4ymUgW4S5alLitYcsRB8UCBWpUtTLKIiIhIK2uF0gRryQy2vlUVKassYZJFRERE2pkBkqVU+pe57pfOyMjAqFGj4OvrC1tbWzRv3hyHDx8u9pw9e/agUaNGsLGxQbVq1bBkyRI9G64MJllERESklSQBZhZSqV+Sue5PJg4ZMgRxcXFYvXo1Tpw4gY4dO6J9+/ZITk7WGn/p0iV07twZrVq1QmJiIj7++GOMGDECMTExpf0a9Fb0Do9ERERUvplJkCxL3x8jwQyAkB2flZWFmJgYbN68Ga+++ioAICIiAps2bcK3336LGTNmFDpnyZIl8PHxwfz58wEAAQEBOHLkCObOnYu33nqr1G3QB3uyiIiIyOCEEEhPT9d45eTkaI3Ny8tDfn4+bGw0l46wtbXFvn37tJ5z8OBBdOzYUeNYUFAQjhw5ApVKpUwjdMQki4iIiLSSzEo/VGhmIcHMHEhLS4ODg4PGa9asWVqvW6lSJQQGBuLTTz/F9evXkZ+fjzVr1uDPP/9ESkqK1nNSU1Ph5uamcczNzQ15eXm4ffu24t+NHBwuJCIiIu3+f+J7aUkFEhzsHHD16lWN49bW1kWes3r1aoSEhKBq1aowNzdHw4YN0bdvXxw7dqzo6zy1Kr0QQuvxZ4VJFhEREWn1eOJ7qcvJkyBJEuzt7WWfU716dezZswcPHz5Eeno6PDw80KtXL/j7+2uNd3d3R2pqqsaxmzdvwsLCAs7OzqWqv744XEhEREQmq0KFCvDw8MC9e/ewfft2BAcHa40LDAxEXFycxrEdO3agcePGsLQs/YKq+mCSRURERFpJZgqskWUpQdKjN2z79u3Ytm0bLl26hLi4OLRt2xY1a9bE4MGDAQBhYWEYMGCAOv7999/HlStXMGbMGJw5cwbff/89VqxYgXHjxin2feiKw4VERESknVLDhXosRpqWloawsDD8+++/cHJywltvvYWZM2eqe6VSUlI05nj5+/vj119/xejRo7F48WJ4enpiwYIFRlu+AWCSRURERCaoZ8+e6NmzZ5GfR0VFFTrWunXrYifGP2tMsoiIiEgryQx6rdZeuBxJl7VInxtMsoiIiEg7SYKZAkmWmbkE5ClQnzKGSRYRERFpJeH/e6FKXZBx1qkyNj5dSERERGQA7MkiIiIi7cwkSOYKbBBtLgHG2T7QqJhkERERkVaSBGXmZCkx5FgGMckiIiKiIkick1UKnJNFREREZADsySIiIiKtJDOFhgsVKKMsYpJFRERE2klKLUaqQF3KICZZREREpJUECZKZAk8XltMsq3y2moiIiMjA2JNFRERE2kkKPV3IJRyIiIiI/qPcOlkKVKYMKqfNJiIiIjIs9mQRERGRdpIyG0QrMuRYBjHJIiIiIq0kSZmnC8vrGg5MsoiIiEg7xXqyFKhLGVROm01ERERkWOzJIiIiIq0kSVLo6ULOySIiIiLSwHWy9Mcki557H3xxX3asp1dFWXFe7vJ+dWq5p8u+djWckxVX6aa8OLP7t2VfO/9mqqy4W3+ekBV3auU/sq/dRZUkO5aIni2lJr5zWx0iIiIiUgx7soiIiEg7Pl1YKkyyiIiISDuF9i6UpPI5J6uc5pZEREREhsWeLCIiItJKAp8uLA0mWURERKSdYk8XMskiIiIiUpMkKLMYqQJllEWck0VERERkAGUmyerWrRt8fHxgY2MDDw8P9O/fH9evX9eIGTlyJBo1agRra2u8/PLLsspt06bNo8XWnnj17t3bAC0gIiIqY/7/6cJSv8rpcGGZSbLatm2L9evXIykpCTExMbhw4QLefvttjRghBEJCQtCrVy+dyh46dChSUlLUr6VLlypZdSIiojJJkgDJzKzUL058N3GjR49W/+zr64tJkyahe/fuUKlUsLS0BAAsWLAAAHDr1i38/fffssu2s7ODu7u7shUmIiIq67hOVqmUmZ6sJ929exfR0dFo3ry5OsEqjejoaLi4uKBOnToYN24cMjIyio3PyclBenq6xouIiIjoSWWmJwsAJk6ciEWLFiEzMxPNmjXD1q1bS11mv3794O/vD3d3d5w8eRJhYWH466+/EBcXV+Q5s2bNwrRp00p9bXo2dPlHmJWlvH932FoLWXEWZgWyry2EvGsXWNvJipPsHWVf29zSSlZc5Rfvy4rzCeI/PIieF8psq8OerGcuIiKi0KTzp19HjhxRx48fPx6JiYnYsWMHzM3NMWDAAAgh7392RRk6dCjat2+PunXronfv3tiwYQN27tyJY8eOFXlOWFgY0tLS1K9r166Vqg5ERESmSPr/dbJK/Sqnw4VG7ckaPnx4iU/y+fn5qX92cXGBi4sLatSogYCAAHh7e+PQoUMIDAxUrE4NGzaEpaUlzp07h4YNG2qNsba2hrW1tWLXJCIiMkkKbRDNie9G8Dhp0sfjHqycnBwlq4RTp05BpVLBw8ND0XKJiIiofCkTc7ISEhKQkJCAli1bwtHRERcvXsTUqVNRvXp1jV6s8+fP48GDB0hNTUVWVhaOHz8OAKhduzasrKyQnJyMdu3aYdWqVWjatCkuXLiA6OhodO7cGS4uLjh9+jTGjh2LBg0aoEWLFkZqLRERkYlQbFudMvmcXamViSTL1tYWsbGxCA8Px8OHD+Hh4YFOnTph3bp1GsN2Q4YMwZ49e9TvGzRoAAC4dOkS/Pz8oFKpkJSUhMzMTACAlZUVfv/9d3z99dd48OABvL290aVLF4SHh8Pc3PzZNpKIiMgUKTGfinOyTFe9evWwa9euEuN2795d7Od+fn4aE+W9vb01kjIiIiIipZSJJIuIiIiePUmpxUjL52ghkywiIiIqGudk6Y9JFhEREWmlVE9WeV3CoXymlkREREQGxp4sIiIi0k6xJRzKZ08WkywiIiLSTqEV38vr3oVMsui55+lVSXZsVTd5fwi8KmfKinOxuC372hXuXJcVZ56VIStOWMjb9BkACirbyoqz8fORFed6+77sax/v2EpW3Ms7/pBdJhEpQ4JCSVY57cninCwiIiIiA2BPFhEREWknSYACc7LK69OFTLKIiIhIO0mhob5yOlzIJIuIiIiKwKcLS4NzsoiIiIgMgD1ZREREpJVyexeWz54sJllERESknQRlJr6X070Ly2eriYiIiAyMPVlERESkHYcLS4VJFhEREWklAZAUGOqTwCSLiIiI6D+SpMxCouW0J4tzsoiIiIgMgD1Z9Nyr6m4uO9bLMUtWnIfNDVlxTvcvy7625c2r8gLzVPLiKrvKvraqgqOsOPPKzrLiKvp5yr62W0GB7FgietaUWYy0vPZkMckiIiIi7SRlJq2X1xXfmWQRERFRESRl1rjiOllEREREpBT2ZBEREZFWkmLDhQpUpgxiTxYRERFpJ0mPttVR4qWDvLw8TJ48Gf7+/rC1tUW1atUwffp0FBTzoMzu3bsf7bX41Ouff/4p7begN/ZkERERkUn5/PPPsWTJEqxcuRJ16tTBkSNHMHjwYDg4OGDkyJHFnpuUlAR7e3v1e1dX+U9aK41JFhERERVJiScDdS3j4MGDCA4ORpcuXQAAfn5+WLt2LY4cOVLiuVWqVEHlypX1qabiOFxIRERE2ik1XChJEEIgPT1d45WTk6P1si1btsTvv/+Os2fPAgD++usv7Nu3D507dy6xyg0aNICHhwfatWuH+Ph4Rb8OXbEni4iIiLRTaOI7zCSkpaXBwcFB43B4eDgiIiIKhU+cOBFpaWmoVasWzM3NkZ+fj5kzZ6JPnz5FXsLDwwPLli1Do0aNkJOTg9WrV6Ndu3bYvXs3Xn311dK3QQ9MsoiIiMjgHBwccPWq5s4W1tbWWmN//PFHrFmzBj/88APq1KmD48ePY9SoUfD09MTAgQO1nlOzZk3UrFlT/T4wMBDXrl3D3LlzmWQRERGRqVFoMVKYQZIkjQnpxRk/fjwmTZqE3r17AwDq1auHK1euYNasWUUmWdo0a9YMa9as0avGSmCSRaXSsuseWXFVa/rJLtOrmousOD9fO1lx1T3yZF+7is09WXHO6fL2GbROOS/72jlnTsuKy8vSPofhaXbV/GRf29pNXpkQQlaYha+/7Gt7fDhHdiwRPWMSlNl3UMc8LTMzE2ZPLftgbm5e7BIO2iQmJsLDw0O3iyuISRYRERFpJUGCpEBPlq5ldO3aFTNnzoSPjw/q1KmDxMREfPXVVwgJCVHHhIWFITk5GatWrQIAzJ8/H35+fqhTpw5yc3OxZs0axMTEICYmptT11xeTLCIiIjIpCxcuxJQpUzBs2DDcvHkTnp6e+N///oepU6eqY1JSUjTmeOXm5mLcuHFITk6Gra0t6tSpg19++UXWE4mGwiSLiIiItJMkZYYLdVwnq1KlSpg/fz7mz59fZExUVJTG+wkTJmDChAl6VM5wmGQRERGRdhIg6bgljtZilEjUyiAmWURERFQESZndncvpDtFc8Z2IiIjIANiTRURERNpJeLQtTqnLKZ89WUyyiIiIqAgcLiwNDhcSERERGQB7soiIiEgrSZKUebpQka15yh4mWURERFQ0JRKkcjpcyCSLiIiItFNqMVKuk0WkuwpODrLiqng5yi7Tzc1WXpyTvM2KXSs8lH1tZ1WKrDibVHkbP+eeOyv72ikJSfLKfJgrK84zL1/2te3y5W2ibeboLCsuz81H9rWJiJ5XTLKIiIhIO0mp+VSck0VERET0BKWGC0tfRFnEJIuIiIi0k6DQxPfymWWVz1YTERERGRh7soiIiKgIXPG9NJhkERERkXaSxL0LS4FJFhERERWNc7L0Vj5bTURERGRgZSbJ6tatG3x8fGBjYwMPDw/0798f169fV3/+119/oU+fPvD29oatrS0CAgLw9ddfl1huTk4OPvroI7i4uKBChQro1q0b/v33X0M2hYiIqGx4vOJ7aV/lc7Sw7CRZbdu2xfr165GUlISYmBhcuHABb7/9tvrzo0ePwtXVFWvWrMGpU6fwySefICwsDIsWLSq23FGjRmHjxo1Yt24d9u3bhwcPHuCNN95Afr781bKJiIieW5KZMq9yqMzMyRo9erT6Z19fX0yaNAndu3eHSqWCpaUlQkJCNOKrVauGgwcPIjY2FsOHD9daZlpaGlasWIHVq1ejffv2AIA1a9bA29sbO3fuRFBQkOEaRERERM+1Mpla3r17F9HR0WjevDksLS2LjEtLS4OTk1ORnx89ehQqlQodO3ZUH/P09ETdunVx4MCBIs/LyclBenq6xouIiOi5I0nKvcqhMtOTBQATJ07EokWLkJmZiWbNmmHr1q1Fxh48eBDr16/HL7/8UmRMamoqrKys4OiouXmxm5sbUlNTizxv1qxZmDZtmu4NeA5VdpW38XMVNzvZZdpXlJf7W5gXyIrLF/J/ufPMreQFWsqLy8/Kln3ttH/TZMXdP/tAVpykw1YYVXLkbTpdqaa8YXTzivayr51+dLvsWDnsG7EHmkg5XMKhNIzakxUREQFJkop9HTlyRB0/fvx4JCYmYseOHTA3N8eAAQMghChU7qlTpxAcHIypU6eiQ4cOOtdLCAGpmP8gwsLCkJaWpn5du3ZN52sQERGZPAnsySoFo/ZkDR8+HL179y42xs/PT/2zi4sLXFxcUKNGDQQEBMDb2xuHDh1CYGCgOub06dN47bXXMHToUEyePLnYst3d3ZGbm4t79+5p9GbdvHkTzZs3L/I8a2trWFtbl9A6IiIiKs+MmmQ9Tpr08bgHKycnR33s1KlTeO211zBw4EDMnDmzxDIaNWoES0tLxMXFoWfPngCAlJQUnDx5EnPmzNGrXkRERM8PiYuRloKsJGvMmDE6Fzx58uRiJ53rIiEhAQkJCWjZsiUcHR1x8eJFTJ06FdWrV1f3Yp06dQpt27ZFx44dMWbMGPWcKnNzc7i6ugIAkpOT0a5dO6xatQpNmzaFg4MDQkNDMXbsWDg7O8PJyQnjxo1DvXr11E8bEhERlVsSOCerFGQlWfPnz0dgYCCsrORN9t23bx+GDx+uWJJla2uL2NhYhIeH4+HDh/Dw8ECnTp2wbt069bDdTz/9hFu3biE6OhrR0dHqc319fXH58mUAgEqlQlJSEjIzM9Wfz5s3DxYWFujZsyeysrLQrl07REVFwdzcXJG6ExERlV3cILo0ZA8Xbty4EVWqVJEVW6lSJb0rpE29evWwa9euYmMiIiIQERFRbIyfn1+hifI2NjZYuHAhFi5cWNpqEhEREanJSrIiIyPh4OAgu9ClS5fCzc1N70oRERGRCZCUmpPFnqwiDRw4UKdC+/btq1dliIiIyMRwuFBvOqen165d09hAOSEhAaNGjcKyZcsUrRgRERFRWabzEg59+/bFe++9h/79+yM1NRUdOnRAnTp1sGbNGqSmpmLq1KmGqCcRERE9a5JSK76b5hIOPXr00PmcJUuWyJ6jrnOrT548iaZNmwIA1q9fr97n74cffkBUVJSuxREREZEJE5JU6hdMdLRw06ZNsLKygoODg6zXL7/8ggcP5G1tBujRk6VSqdTLJuzcuRPdunUDANSqVQspKSm6FkdERESmSrGJ76bZkwUACxYskN0ztWHDBp3K1jnJqlOnDpYsWYIuXbogLi4On376KQDg+vXrcHZ21rU4KuN+nOsrK27xb/LLlDs/Mj1T3i+tmVRR9rUt7L1kxUlehffM1Mbp7i3Z17b3PCcr7vaR+7Libp28I/vaGany/mXmk5lTchAAx3x5G0kDgJXnQ1lx+Y7y/gje+2uP7Gs7vtRadiwRPX/i4+N1WtPzt99+Q9WqVWXH65xafv7551i6dCnatGmDPn364KWXXgIAbNmyRT2MSERERM+D/+/JKvXLNMcLW7duDQsL+f1NLVu21GnvYp17stq0aYPbt28jPT1dY1Pl9957D3Z2droWR0RERCZK4NGcrNKXY5pJ1pPatGmDkJAQvPPOO7C1tVWkTL0GSYUQOHr0KJYuXYqMjAwAgJWVFZMsIiKi54mkVE+W6c7JeqxRo0aYMGEC3N3dMXToUBw6dKjUZerc6itXrqBevXoIDg7Ghx9+iFu3Hs05mTNnDsaNG1fqChERERE9a19++SWSk5OxatUq3Lp1C6+++ipq166NuXPn4saNG3qVqXOSNXLkSDRu3Bj37t3T6E5788038fvvv+tVCSIiIjJRkqTMqwwwNzdHcHAwNm3ahOTkZPTt2xdTpkyBt7c3unfvXuI+yk/TeU7Wvn37sH//flhZWWkc9/X1RXJysq7FERERkalSbDHSspFkPZaQkIDIyEisXbsWVapUwaBBg5CSkoKuXbvigw8+wNy5c2WVo3OSVVBQgHwtj2f/+++/qFSpkq7FERERkQlTZOJ7GUiybt68idWrVyMyMhLnzp1D165dsW7dOgQFBUH6//r37NkT3bt3N1yS1aFDB8yfP1+9V6EkSXjw4AHCw8PRuXNnXYsjIiIiMjovLy9Ur14dISEhGDRoEFxdXQvFNG3aFE2aNJFdps5J1rx589C2bVvUrl0b2dnZ6Nu3L86dOwcXFxesXbtW1+KIiIjIVCm24rvp92T9/vvvaNWqVbEx9vb2iI+Pl12mzkmWp6cnjh8/jrVr1+LYsWMoKChAaGgo+vXrp9i6EkRERGR8AhKEAkmWEmUYWkkJlj50TrIAwNbWFiEhIQgJCVG6PkRERERGsWHDBqxfvx5Xr15Fbm6uxmfHjh3TuTy9UsvVq1ejZcuW8PT0xJUrVwA8GkbcvHmzPsURERGRqVJk+QbTHy5csGABBg8ejCpVqiAxMRFNmzaFs7MzLl68iNdff12vMnXuyfr2228xdepUjBo1CjNmzFA/aejo6Ij58+cjODhYr4rQ8+1DHf77/F7mMiQPs+TF5eWby762mWQvL7CSt6ywyu4+sq9d0U3mtWXKSpa3mbNusZdkRUlm8v+gVi6Qt9m2mW0FWXE5Tv6yr01EJZCUGS4sC3OyvvnmGyxbtgx9+vTBypUrMWHCBFSrVg1Tp07F3bt39SpT529u4cKF+O677/DJJ59obKrYuHFjnDhxQq9KEBERkYkqJ4uRXr16Fc2bNwfwaFrU420D+/fvr/eDfTonWZcuXUKDBg0KHbe2tsbDhw/1qgQRERGRMbm7u+POnTsAHi2w/njvwkuXLkEIeT3uT9M5yfL398fx48cLHf/tt99Qu3ZtvSpBREREpkipDaJNvyfrtddew88//wwACA0NxejRo9GhQwf06tULb775pl5l6jwna/z48fjwww+RnZ0NIQQSEhKwdu1azJo1C8uXL9erEkRERGSCpPKz4vuyZctQUFAAAHj//ffh5OSEffv2oWvXrnj//ff1KlPnJGvw4MHIy8vDhAkTkJmZib59+6Jq1ar4+uuv0bt3b70qQURERKZIocVI9VvM4JkyMzOD2RP7NPbs2RM9e/YsVZk6JVl5eXmIjo5G165dMXToUNy+fRsFBQWoUqVKqSpBRERE9Kz9/fffsmPr16+vc/k6JVkWFhb44IMPcObMGQCAi4uLzhckIiKiskHg0arvpS/HNIcLX375ZUiSBCGEehPoojxeskoXOvffvfLKK0hMTNT5QkRERFTG/P86WaV/mWaSdenSJVy8eBGXLl1CTEwM/P398c033yAxMRGJiYn45ptvUL16dcTExOhVvs5zsoYNG4axY8fi33//RaNGjVChguYCgfp0pxERERE9a76+vuqf33nnHSxYsACdO3dWH6tfvz68vb0xZcoUdO/eXefydU6yevXqBQAYMWKE+tiTXW36dKcRERGRKVJo4nsZ2CD6xIkT8PcvvGOEv78/Tp8+rVeZOidZly7J21aDiIiIyj5FhvpMc7RQQ0BAAGbMmIEVK1bAxsYGAJCTk4MZM2YgICBArzJ1TrKe7FojIiKi55dQaO9CUQaWcFiyZAm6du0Kb29vvPTSSwCAv/76C5IkYevWrXqVqXOStWXLFq3HJUmCjY0NXnjhBa3dbURyPcySt31BekaBrDgzHX63VSp5m0ln5laWFVfFva7sa7s0lhfrn3JfVlxq4i3Z15a7QXRmarasuPuX5V/bwsZKVlwlG2uZcfI2kn6k8BZhRFQ+NW3aFJcuXcKaNWvwzz//QAiBXr16oW/fvoXmn8ulc5LVvXt39RysJz05L6tly5bYtGkTHB0d9aoUERERmQhFhgtNd7zw448/Rvfu3dG0aVPY2dnhvffeU6xsnfvv4uLi0KRJE8TFxSEtLQ1paWmIi4tD06ZNsXXrVuzduxd37tzBuHHjFKskERERGcPzvYQDAKSkpOCNN96Ah4cH3nvvPfzyyy/IyZHXu18SnXuyRo4ciWXLlqF58+bqY+3atYONjQ3ee+89nDp1CvPnz0dISIgiFSQiIiLjEJCe68VIASAyMhJCCOzbtw8///wzxo4di+TkZHTo0AHdunXDG2+8offi6zr3ZF24cAH29vaFjtvb2+PixYsAgBdffBG3b9/Wq0JEREREz5IkSWjVqhXmzJmDf/75BwkJCWjWrBm+++47VK1aFa+++irmzp2L5ORkncrVOclq1KgRxo8fj1u3/pvYeuvWLUyYMAFNmjQBAJw7dw5eXl66Fk1ERESmRIJRhgvz8vIwefJk+Pv7w9bWFtWqVcP06dNRUFD8A0979uxBo0aNYGNjg2rVqmHJkiV6NTsgIAATJkzA/v37ce3aNQwcOBB//PEH1q5dq1M5Og8XrlixAsHBwfDy8oK3tzckScLVq1dRrVo1bN68GQDw4MEDTJkyRdeiiYiIyKRICk1a162Mzz//HEuWLMHKlStRp04dHDlyBIMHD4aDgwNGjhyp9ZxLly6hc+fOGDp0KNasWYP9+/dj2LBhcHV1xVtvvaV3zatUqYLQ0FCEhobqfK7OSVbNmjVx5swZbN++HWfPnoUQArVq1UKHDh1g9v/Pyuuz9DwRERGZHmXWuDKDEALp6ekaR62trWFtXXh5loMHDyI4OBhdunQBAPj5+WHt2rU4cuRIkVdYsmQJfHx8MH/+fACPeqOOHDmCuXPnykqysrOzsXDhQsTHx+PmzZuFes2OHTtWYhlP0znJAh6NXXbq1Alt2rSBtbV1iTtXExERUfmWlpYGBwcHjWPh4eGIiIgoFNuyZUssWbIEZ8+eRY0aNfDXX39h37596gRKm4MHD6Jjx44ax4KCgrBixQqoVCpYWloWW7+QkBDExcXh7bffRtOmTRXJbXROsgoKCjBz5kwsWbIEN27cwNmzZ1GtWjVMmTIFfn5+enWnERERkel5tOK7Ak8XShIcHBxw9epVjePaerEAYOLEiUhLS0OtWrVgbm6O/Px8zJw5E3369CnyGqmpqXBzc9M45ubmhry8PNy+fRseHh7F1vGXX37Br7/+ihYtWshsVcl07gOcMWMGoqKiMGfOHFhZ/bdSc7169bB8+XLFKkZERETGptw6WZIkwd7eXuNVVJL1448/Ys2aNfjhhx9w7NgxrFy5EnPnzsXKlSuLr+1TCeHjhdPl9EpVrVoVlSpVkvm9yKNzkrVq1SosW7YM/fr1g7n5f1uQ1K9fH//884+ilSMiIqLyZ/z48Zg0aRJ69+6NevXqoX///hg9ejRmzZpV5Dnu7u5ITU3VOHbz5k1YWFjA2dm5xGt++eWXmDhxIq5cuVLq+j+m83BhcnIyXnjhhULHCwoKoFKpFKkUlW8fdZHXNT1xWa6suPx8eXshAkBWlrxfifQH8uKqOXnKvrZrtVry4upcLTkIQHa6/BWLs5Ll7TWYc0Ped37v8n3Z17a0k7d3obWTQ8lBAGwc/pV9bSIqmTEWI83MzFQ/TPeYubl5sUs4BAYG4ueff9Y4tmPHDjRu3LjE+VgA0LhxY2RnZ6NatWqws7MrdM7du3d1aMEjOidZderUwR9//AFfX1+N4z/99BMaNOBmq0RERM8L8f/DhaWm47yurl27YubMmfDx8UGdOnWQmJiIr776SmM3mbCwMCQnJ2PVqlUAgPfffx+LFi3CmDFjMHToUBw8eBArVqyQvbZVnz59kJycjM8++wxubm7GmfgeHh6O/v37Izk5GQUFBYiNjUVSUhJWrVqFrVu3lrpCREREZCIkKDPxXceerIULF2LKlCkYNmwYbt68CU9PT/zvf//D1KlT1TEpKSkaE+n9/f3x66+/YvTo0Vi8eDE8PT2xYMEC2WtkHThwAAcPHsRLL72kU12Lo3OS1bVrV/z444/47LPPIEkSpk6dioYNG+Lnn39Ghw4dFKsYERERlU+VKlXC/Pnzi12yISoqqtCx1q1b67WeFQDUqlULWVlZep1bFL3WyQoKCkJQUJCiFSEiIiLTImCcOVnGMHv2bIwdOxYzZ85EvXr1Cs3J0rZvc0n0SrKIiIioPFBmTpYSQ46G1qlTJwBAu3btNI4LISBJEvLz83UuU1aS5ejoKHsCmD6z74mIiMgUSQr1Qpl+khUfH694mbKSrCfHRO/cuYMZM2YgKCgIgYGBAB4tZb99+3ZuCk1ERERlUuvWrRUvU1aSNXDgQPXPb731FqZPn47hw4erj40YMQKLFi3Czp07MXr0aMUrSURERM+eABQaLlRik2nDy87Oxt9//611g+hu3brpXJ7Ord6+fbt63PJJQUFB2Llzp84VkKtbt27w8fGBjY0NPDw80L9/f1y/fl39+V9//YU+ffrA29sbtra2CAgIwNdff11iuW3atIH0/8v9P3717t3bYO0gIiIqOx4NF5b+Zfq2bdsGHx8fNGvWDN26dUP37t3VrzfffFOvMnVOspydnbFx48ZCxzdt2iRr2Xp9tW3bFuvXr0dSUhJiYmJw4cIFvP322+rPjx49CldXV6xZswanTp3CJ598grCwMCxatKjEsocOHYqUlBT1a+nSpQZrBxERUZkhQaG9C02/J2v48OF45513kJKSgoKCAo2XPpPeAT2eLpw2bRpCQ0Oxe/du9ZysQ4cOYdu2bQbdIPrJYUhfX19MmjQJ3bt3h0qlgqWlpcYqsABQrVo1HDx4ELGxsRpDm9rY2dnB3d3dIPUmIiIi03fz5k2MGTMGbm5uipWpc2o5aNAgHDhwAJUrV0ZsbCxiYmLg4OCA/fv3Y9CgQYpVrDh3795FdHQ0mjdvXux+RGlpaXByciqxvOjoaLi4uKBOnToYN24cMjIyio3PyclBenq6xouIiOh5o8xQoYSy8HTh22+/jd27dytapl7rZL3yyiuIjo5WtCJyTJw4EYsWLUJmZiaaNWtW7DY+Bw8exPr16/HLL78UW2a/fv3g7+8Pd3d3nDx5EmFhYfjrr78QFxdX5DmzZs3CtGnT9G4HKePhA3mbFWdnyd+4PDur5E1EASAjw1xW3M1qFWRfO8vZW1ZcBX95ca535Sf/aVeL/4fFY9YO8jZzrlhFfrttHeXFmttYyytQh279zD3rZMVlO3nJi7OSv1ihZ836smOJjEmRbXXKwDpZixYtwjvvvIM//vhD62KkI0aM0LlMWUlWenq6TiudZmRkoFKlSiXGRURElJisHD58GI0bNwYAjB8/HqGhobhy5QqmTZuGAQMGYOvWrYXW8Dp16hSCg4MxderUErf6GTp0qPrnunXr4sUXX0Tjxo1x7NgxNGzYUOs5YWFhGDNmjPp9eno6vL3l/Y+PiIiITM8PP/yA7du3w9bWFrt379bILSRJMlyS5ejoiJSUFFSpUkVWoVWrVsXx48dRrVq1YuOGDx9e4pN8fn5+6p9dXFzg4uKCGjVqICAgAN7e3jh06JB6bhgAnD59Gq+99hqGDh2KyZMny6rvkxo2bAhLS0ucO3euyCTL2toa1tYy/1VNRERURglIEEKBnqwy8Hjh5MmTMX36dEyaNAlmZspM1JeVZAkhsHz5clSsWFFWoSqVvOGZx0mTPsT/37GcnBz1sVOnTuG1117DwIEDMXPmTL3KPXXqFFQqFTw8PPQ6n4iI6HkidJ++bZAyDC03Nxe9evVSLMECZCZZPj4++O6772QX6u7uXuyEdF0lJCQgISEBLVu2hKOjIy5evIipU6eievXq6l6sU6dOoW3btujYsSPGjBmD1NRUAIC5uTlcXV0BAMnJyWjXrh1WrVqFpk2b4sKFC4iOjkbnzp3h4uKC06dPY+zYsWjQoAFatGihWP2JiIjKJmW21SkLG0QPHDgQP/74Iz7++GPFypSVZF2+fFmxC+rD1tYWsbGxCA8Px8OHD+Hh4YFOnTph3bp16mG7n376Cbdu3UJ0dLTGpHxfX191/VUqFZKSkpCZmQkAsLKywu+//46vv/4aDx48gLe3N7p06YLw8HCYm8ub2ExERERlX35+PubMmYPt27ejfv36hTqLvvrqK53L1OvpwmetXr162LVrV7ExERERiIiIKDbGz89PPcwIAN7e3tizZ48SVSQiInruCJSNXiglnDhxAg0aNAAAnDx5UuOzpx+wk6tMJFlERERkHOVluDA+Pl7xMplkERERURHKz5wsQzD96f5EREREBtCjRw+ddm3p168fbt68KTuePVlERESklRBQaJ0s0+zJ2rx5M27duiUrVgiBn3/+GZ9++qnsdUP1SrL++OMPLF26FBcuXMCGDRtQtWpVrF69Gv7+/mjZsqU+RRIREZHJUWa40FQJIVCjRg2Dla9zkhUTE4P+/fujX79+SExMVC8GmpGRgc8++wy//vqr4pUkIiIiUpo+k92rVq0qO1bnJGvGjBlYsmQJBgwYgHXr/ttctXnz5pg+fbquxRHpbdEYB1lxfSZclV1mbra8RXTNzOVNZ7x5X94uCQBwx1fe/pde/i/KinOUufMCALwoc4VjSWa7Le3kbztl7ewor0yZ3fOoKH+fVUjy2mOR+1BWnI38K+PWqT9lxeWby9uU271WAx2uTiSPUks4mGpvWOvWrQ1avs5JVlJSEl599dVCx+3t7XH//n0l6kREREQm4nlOsgxN56cLPTw8cP78+ULH9+3bV+KG0ERERFSWPNogWolXeaRzkvW///0PI0eOxJ9//glJknD9+nVER0dj3LhxGDZsmCHqSERERFTm6DxcOGHCBKSlpaFt27bIzs7Gq6++Cmtra4wbNw7Dhw83RB2JiIjICASAAkWGC03Tli1b8Prrrxfap1Apei3hMHPmTHzyySc4ffo0CgoKULt2bVSsKH+CLxEREZUNz/OcrDfffBOpqalwdXWFubk5UlJSZK+BJYfei5Ha2dmhcePGilWEiIiITIuAMvOpTHVOlqurKw4dOoSuXbtCCKH3RtBFkZVk9ejRQ3aBsbGxeleGiIiI6Fl5//33ERwcDEmSIEkS3N3di4zNz8/XuXxZSZaDw3/rEQkhsHHjRjg4OKh7so4ePYr79+/rlIwRERGR6VNmqM80e7IiIiLQu3dvnD9/Ht26dUNkZCQqV66sWPmykqzIyEj1zxMnTkTPnj2xZMkSmJubA3iU3Q0bNgz29josAkhEREQmTanlF0x1ThYA1KpVC7Vq1UJ4eDjeeecd2NnZKVa2zks4fP/99xg3bpw6wQIAc3NzjBkzBt9//71iFSMiIiLjE/+/f2HpXqYvPDwcVlZW2LlzJ5YuXYqMjAwAwPXr1/HgwQO9ytR54nteXh7OnDmDmjVrahw/c+YMCgoK9KoEERERkTFduXIFnTp1wtWrV5GTk4MOHTqgUqVKmDNnDrKzs7FkyRKdy9Q5yRo8eDBCQkJw/vx5NGvWDABw6NAhzJ49G4MHD9a5AkRERGS6nuenC580cuRING7cGH/99RecnZ3Vx998800MGTJErzJ1TrLmzp0Ld3d3zJs3DykpKQAebbUzYcIEjB07Vq9KEBlSZkaW7FizzBxZcQX58nptb9x2kX3tWx5OsuKcqlSXFVchL0/2tSsXKNuZLz0xnaAkZpVkrrHnIG8j6QLbSrKvXWAlc0tnmRtJm+XL/86d6rWUHUtkLI8WI1WmHFO3b98+7N+/H1ZWmpuy+/r6Ijk5Wa8ydU6yzMzMMGHCBEyYMAHp6ekAwAnvREREVKYVFBRoXabh33//RaVK8v/x9iSdJ74/yd7engkWERHRc6v8bBDdoUMHzJ8/X/1ekiQ8ePAA4eHh6Ny5s15l6tyT5e/vX+yKqBcvXtSrIkRERGRaBJ7vbXWeNG/ePLRt2xa1a9dGdnY2+vbti3PnzsHFxQVr167Vq0ydk6xRo0ZpvFepVEhMTMS2bdswfvx4vSpBREREJkgoNfFdgboYmKenJ44fP461a9fi2LFjKCgoQGhoKPr16wdbW1u9ytQ5yRo5cqTW44sXL8aRI0f0qgQRERGRsdna2iIkJAQhISHqYykpKRg/fjwWLVqkc3mlmpP1pNdffx0xMTFKFUdERERGpsxCpBJMdVudx06fPo3Fixdj2bJluH//PgDg9u3bGD16NKpVq4Zdu3bpVa7OPVlF2bBhA5yc5D2CTkRERGWDEiu8mPJS5Vu3bsVbb70FlUoFAJgzZw6+++479OzZE3Xr1sVPP/2EN954Q6+ydU6yGjRooDHxXQiB1NRU3Lp1C998841elSAiIiLTUx4mvs+cORPvv/8+Zs6ciWXLlmHcuHF4//33ERMTg1dffbVUZeucZAUHB2skWWZmZnB1dUWbNm1Qq1atUlWGiIiI6Fk6c+YMVq5ciYoVK2LEiBGYMGEC5s+fX+oEC9AjyYqIiCj1RYmIiKgMUGqNKxNeJys9PR2VK1cGAFhYWMDW1hY1atRQpGydkyxzc3OkpKSgSpUqGsfv3LmDKlWqaF0tlYiIiMomJZZfMPUlHE6fPo3U1FQAj6ZBJSUl4eHDhxox9evX17lcnZMsUcQ3lZOTU2i/HyIiIiJT165dO4385vFEd0mSIISAJEl6dSLJTrIWLFigvuDy5ctRseJ/m7rm5+dj7969nJNFJinrQabsWMlMXpd2fq68jYDT0lSyr30/S95mxQ8rydso2baC/C2vZG/oLPP7kSwt5V/broKsuAIHZ1lxWQ4esq+dbSVvP7Jcc3kLERbI3EgaACrLjiQynkcbRJd+qM+Uny68dOmSwcqWnWTNmzcPwKOerCVLlsD8iT/KVlZW8PPzw5IlS5SvIRERERmFgDIrvpvynCxfX1+DlS07yXqc6bVt2xaxsbFwdJT3r2kiIiIqo4RCc7JKX4TB3L17F5mZmfDy8lIfO3XqFObOnYuHDx+ie/fu6Nu3r15l67zie3x8PBMsIiIiei58+OGH+Oqrr9Tvb968iVatWuHw4cPIycnBoEGDsHr1ar3KltWTNWbMGHz66aeoUKECxowZU2zskxUlIiKiskx67hcjPXToECIjI9XvV61aBScnJxw/fhwWFhaYO3cuFi9ejP79++tctqwkKzExUb3c/LFjxzQWIyUiIqLnk4BC2+qY8Hhhamoq/P391e937dqFN998ExYWj1Kkbt26YdasWXqVLSvJio+PV/+8e/duvS5EREREZc/zPvHd3t4e9+/fV0+AT0hIQGhoqPpzSZKQk5OjV9k6z8kKCQlBRkZGoeMPHz5ESEiIXpUgIiIiMoamTZtiwYIFKCgowIYNG5CRkYHXXntN/fnZs2fh7e2tV9k6J1krV65EVlZWoeNZWVlYtWqVXpUgIiIi0yOEci9T9emnn2Lz5s2wtbVFr169MGHCBI0H/NatW4fWrVvrVbbsJRzS09MhhIAQAhkZGbCx+W/hxPz8fPz666+FttohIiKisqs8LEb68ssv48yZMzhw4ADc3d3xyiuvaHzeu3dv1K5dW6+yZSdZlStXhiRJkCRJ68aJkiRh2rRpelWCiIiITJMp90IpxdXVFcHBwVo/69Kli97lyk6y4uPjIYTAa6+9hpiYGDg5Oak/s7Kygq+vLzw9PfWuCBEREdGz1rlzZ6xduxYODg4AgJkzZ+LDDz9E5cqVAQB37txBq1atcPr0aZ3Llp1kPR6PvHTpEry9vWFmpvN0LiIiIipLhKTI04WKPKFoINu3b9d4evDzzz9Hnz591ElWXl4ekpKS9CpbdpL12ONHHDMzM3H16lXk5uZqfF6/fn29KkJkKKqc3JKD/l+ezFhRIG+GQdr9bNnXvp1RWVZchr28OEdreRsvA4C5pcw/BTL/cWVmLW+zawCArbx65trJ22kiw8ZF9qUfQN4m2um58urYPEDehtNEZUV5WCdLPDUe+vT70tA5ybp16xYGDx6M3377Tevn+fn5pa4UERERUVmn85jfqFGjcO/ePRw6dAi2trbYtm0bVq5ciRdffBFbtmwxRB2JiIjISBRZvsGEe7IeP9T39DEl6NyTtWvXLmzevBlNmjSBmZkZfH190aFDB9jb22PWrFmlmoVPREREpuNRfvR8710ohMCgQYNgbW0NAMjOzsb777+PChUeTRPQd7V3QI+erIcPH6rXw3JycsKtW7cAAPXq1cOxY8f0rggRERGZFiEezadS4qULPz8/dQ/Tk68PP/xQa/zu3bu1xv/zzz8lXmvgwIGoUqUKHBwc4ODggHfffReenp7q91WqVMGAAQN0a8D/07knq2bNmkhKSoKfnx9efvllLF26FH5+fliyZAk8PDz0qgQRERHRY4cPH9aY433y5El06NAB77zzTrHnJSUlwd7+vwdaXF1dS7xWZGSk/hUtgc5J1qhRo5CSkgIACA8PR1BQEKKjo2FlZYWoqCil60dERERGZIzFSJ9OjmbPno3q1auXuL1NlSpV1EsvmAKdk6x+/fqpf27QoAEuX76Mf/75Bz4+PnBxkf/oNBEREZk+JZKsRxPgBdLT0zWOW1tbq+dCFSU3Nxdr1qzBmDFjSpyQ3qBBA2RnZ6N27dqYPHky2rZtW+q6l0apVxS1s7NDw4YNmWARERE9Z4SQUKDQKy0tTT3P6fFr1qxZJdZh06ZNuH//PgYNGlRkjIeHB5YtW4aYmBjExsaiZs2aaNeuHfbu3avgt6E7WT1ZY8aMkV3gV199pXdlitOtWzccP34cN2/ehKOjI9q3b4/PP/9cvZXPnTt30K9fP/z999+4c+cOqlSpguDgYHz22Wca47NPy8nJwbhx47B27VpkZWWhXbt2+Oabb+Dl5WWQdhAREZVHDg4OuHr1qsaxknqxAGDFihV4/fXXi926r2bNmqhZs6b6fWBgIK5du4a5c+fi1Vdf1b/SpSQryUpMTJRVmFLrSmjTtm1bfPzxx/Dw8EBycjLGjRuHt99+GwcOHAAAmJmZITg4GDNmzICrqyvOnz+PDz/8EHfv3sUPP/xQZLmjRo3Czz//jHXr1sHZ2Rljx47FG2+8gaNHj8Lc3Nxg7SEiIioLlBoulCSp2E4Pba5cuYKdO3ciNjZW52s2a9YMa9as0fk8JclKsuLj4w1djxKNHj1a/bOvry8mTZqE7t27Q6VSwdLSEo6Ojvjggw80YoYNG4YvvviiyDLT0tKwYsUKrF69Gu3btwcArFmzBt7e3ti5cyeCgoK0npeTk6OxbsbTY8xERETPA/ViokYSGRmJKlWq6LUGZ2JiotFXPdB54rspuHv3LqKjo9G8eXNYWlpqjbl+/TpiY2OLfRLh6NGjUKlU6Nixo/qYp6cn6tatiwMHDhSZZM2aNQvTpk0rXSPomYlf/4rs2JZd9yh67Tup92XHXkuRt++dq728+Y92ji/Ivra73y1ZcZIBts3Kr1hZVlyOjYOsuExUlH3tDJWdrLgHuSUPaRA9j4y5d2FBQQEiIyMxcOBAWFhopithYWFITk7GqlWrAADz58+Hn58f6tSpo54oHxMTg5iYmNJXvhRKPfH9WZo4cSIqVKgAZ2dnXL16FZs3by4U06dPH9jZ2aFq1aqwt7fH8uXLiywvNTUVVlZWcHTU3HjWzc0NqampRZ4XFhaGtLQ09evatWv6N4qIiIgK2blzJ65evYqQkJBCn6WkpGjM78rNzcW4ceNQv359tGrVCvv27cMvv/yCHj16PMsqF2LUJCsiIkLrCq1Pvo4cOaKOHz9+PBITE7Fjxw6Ym5tjwIABhXbLnjdvHo4dO4ZNmzbhwoULOk3af0wIUez8Mmtra9jb22u8iIiInkdCSIq8dNWxY0cIIVCjRo1Cn0VFRWH37t3q9xMmTMD58+eRlZWFu3fv4o8//kDnzp1L02xFGHW4cPjw4ejdu3exMX5+fuqfXVxc4OLigho1aiAgIADe3t44dOgQAgMD1THu7u5wd3dHrVq14OzsjFatWmHKlClax2Xd3d2Rm5uLe/fuafRm3bx5E82bNy99A4mIiMoypeZkmfAG0YZk1CTrcdKkj8c9WMVt3FhSTKNGjWBpaYm4uDj07NkTwKMuyJMnT2LOnDl61YuIiIgIKCMT3xMSEpCQkICWLVvC0dERFy9exNSpU1G9enV1L9avv/6KGzduoEmTJqhYsSJOnz6NCRMmoEWLFuresOTkZLRr1w6rVq1C06ZN4eDggNDQUIwdOxbOzs5wcnLCuHHjUK9ePfXThkREROWVYhPfS19EmVQmkixbW1vExsYiPDwcDx8+hIeHBzp16oR169apFzKztbXFd999h9GjRyMnJwfe3t7o0aMHJk2apC5HpVIhKSkJmZmZ6mPz5s2DhYUFevbsqV6MNCoqimtkERERQbl1ssqjMpFk1atXD7t27So2pm3btuqFSYvi5+dXaKK8jY0NFi5ciIULF5a6nkRERM8TxdbJKqdJVplawoGIiIiorCgTPVlERET07BlzMdLnAZMsIiIi0k6h4cJymmMxySIiIiLtBIACBR4NFOX08ULOySIiIiIyAPZkET1h389Fbyj+JLkbSd+9flv2tS8kydus2NJS3gK+wt9X9rXzfeUtWWKb/0BWnFVeluxrq8xtZMVlWDiWHATggaqC7GvnFsj7E1he55MQKTZcWE5/h5hkERERUZGYZOmPw4VEREREBsCeLCIiItJKqSUcymlHFpMsIiIi0u7Riu+lT5GUKKMsYpJFREREReKcLP1xThYRERGRAbAni4iIiLQSQqHFSMtpTxaTLCIiIioShwv1xySLiIiItBKCG0SXBudkERERERkAe7KIiIioSIoM9ZXTniwmWURERKSVEAJCgbE+rpNFRIrbubax7NiO/RNlxUlmkqw4IZxlXzvX10dWnKNdjqy41nXkbXZNRKaPc7L0xzlZRERERAbAniwiIiLS6tG2OkoUpEAZZRCTLCIiIipSgQJjfQXldE4WhwuJiIiIDIA9WURERKSVUsOF5bQji0kWERERFY1Jlv6YZBEREZFWAkKR+VTldZ0szskiIiIiMgD2ZBEREZF2AhAFChRTPjuymGQRERGRdo8mvisxXKhAZcogJllERERUpAL2ZOmNc7KIiIiIDIA9WUR62Pdza8XL3LG6geJlKo8bPxOVJ8oNF5bPriwmWURERFQkBXbVKbfDhUyyiIiISCshBIQCWVZ57cninCwiIiIiA2BPFhERERWJ2+roj0kWERERaSUEUKDEcKESE7vKIA4XEhERERkAe7KIiIioSIos4aBAPcoiJllERESklVBq70IFyiiLmGQRERFREQQKFOjJUqKMsohzsoiIiIgMgD1ZREREpJVS2+qU1zUcmGQRERGRVkIIRZZwKK/DhUyyiIiIqEjsyNIf52QRERERGQB7soiIiEg7odBq7eW0J4tJFhEREWkloMx8qvI6J4vDhUREREQGwJ4sIiIi0k4IRYYLy+sG0UyyiIiISCuh2JwsJllEREREao/mZJW+nHLakcU5WURERESGUGaSrG7dusHHxwc2Njbw8PBA//79cf36dfXnd+7cQadOneDp6Qlra2t4e3tj+PDhSE9PL7bcNm3aQJIkjVfv3r0N3RwiIiLT9//DhaV+sSfLtLVt2xbr169HUlISYmJicOHCBbz99tvqz83MzBAcHIwtW7bg7NmziIqKws6dO/H++++XWPbQoUORkpKifi1dutSQTSEiIiojBIQo/au8ZlllZk7W6NGj1T/7+vpi0qRJ6N69O1QqFSwtLeHo6IgPPvhAI2bYsGH44osvSizbzs4O7u7uBqk3ERFRWSUElNm7sJxOyiozPVlPunv3LqKjo9G8eXNYWlpqjbl+/TpiY2PRunXrEsuLjo6Gi4sL6tSpg3HjxiEjI6PY+JycHKSnp2u8iIiIiJ5UppKsiRMnokKFCnB2dsbVq1exefPmQjF9+vSBnZ0dqlatCnt7eyxfvrzYMvv164e1a9di9+7dmDJlCmJiYtCjR49iz5k1axYcHBzUL29v71K1i4iIyDQpM1woyulwoVGTrIiIiEKTzp9+HTlyRB0/fvx4JCYmYseOHTA3N8eAAQMK3bh58+bh2LFj2LRpEy5cuIAxY8YUW4ehQ4eiffv2qFu3Lnr37o0NGzZg586dOHbsWJHnhIWFIS0tTf26du1a6b4IIiIiEyQUm/hePpMso87JGj58eIlP8vn5+al/dnFxgYuLC2rUqIGAgAB4e3vj0KFDCAwMVMe4u7vD3d0dtWrVgrOzM1q1aoUpU6bAw8NDVp0aNmwIS0tLnDt3Dg0bNtQaY21tDWtra1nlERERlVlKLUZaUPoiyiKj9mS5uLigVq1axb5sbGy0nvs4K87JySmyfDkxTzt16hRUKpXspIyIiIiU5efnp3V068MPPyzynD179qBRo0awsbFBtWrVsGTJkmdYY+3KxNOFCQkJSEhIQMuWLeHo6IiLFy9i6tSpqF69uroX69dff8WNGzfQpEkTVKxYEadPn8aECRPQokULdW9YcnIy2rVrh1WrVqFp06a4cOECoqOj0blzZ7i4uOD06dMYO3YsGjRogBYtWhixxURERMYnIFCgwFBfAXQr4/Dhw8jPz1e/P3nyJDp06IB33nlHa/ylS5fQuXNnDB06FGvWrMH+/fsxbNgwuLq64q233ipV3UujTCRZtra2iI2NRXh4OB4+fAgPDw906tQJ69atUw/b2dra4rvvvsPo0aORk5MDb29v9OjRA5MmTVKXo1KpkJSUhMzMTACAlZUVfv/9d3z99dd48OABvL290aVLF4SHh8Pc3NwobSUiIjIZCg0X6lqGq6urxvvZs2ejevXqRa4YsGTJEvj4+GD+/PkAgICAABw5cgRz585lklWSevXqYdeuXcXGtG3bFgcOHCg2xs/PT2Pynbe3N/bs2aNIHYmIiKhoQohCSx7JmeOcm5uLNWvWYMyYMZAkSWvMwYMH0bFjR41jQUFBWLFihXo9TWMoU0s4EBER0bMjAMVWfE9LS9NY/sjBwQGzZs0qsQ6bNm3C/fv3MWjQoCJjUlNT4ebmpnHMzc0NeXl5uH37dim/Bf2ViZ4sIiIiMgIhlFnxXQAODg64evWqxnE5T+qvWLECr7/+Ojw9PYuNe7qX6/HIVVG9X88CkywiIiLSSig4J0uSJNjb2+t03pUrV7Bz507ExsYWG+fu7o7U1FSNYzdv3oSFhQWcnZ11rq9SOFxIREREJikyMhJVqlRBly5dio0LDAxEXFycxrEdO3agcePGRpuPBTDJIiIioiIptaWO7r1hBQUFiIyMxMCBA2FhoTnwFhYWhgEDBqjfv//++7hy5QrGjBmDM2fO4Pvvv8eKFSswbty40n4BpcLhQiIiItLq0XBh6Zdr12fIcefOnbh69SpCQkIKfZaSkqIxv8vf3x+//vorRo8ejcWLF8PT0xMLFiww6vINAJMsIiIiKpJCE9/1KKNjx45F7nkYFRVV6Fjr1q2L3XfYGDhcSERERGQA7MkiIiIirR4tcaXABtF6zMl6HjDJIiIiIu2MtK3O84LDhUREREQGwJ4sIiIiKoJQpierfHZkMckiIiIi7YQQKBClX8JBiTLKIiZZREREpJWAQvOpOCeLiIiIiJTCniwiIiLSTqmnC8vppCwmWURERKSdeu/BUhdTLjHJIiIiIq0EHm3UXOpyyunEd87JIiIiIjIA9mQRERGRdkKhdbLK6dOFTLKIiIhIKwGhyFAfJ74TERERPYlPF5YK52QRERERGQB7soiIiEgroVBPVnld8Z1JFhERERVBqb0Ly2eSxeFCIiIiIgNgTxYRERFppdRwYXmd+M4ki4iIiLQTAkKBFd85J4uIiIjoSUotRlpOe7I4J4uIiIjIANiTRURERFoJKLO5c3ndIJpJFhEREWklhECBAsOF5XUJByZZREREVCROfNcf52QRERERGQB7soiIiEg7pZ4uLKc9WUyyiIiISCshhDIT38Eki4iIiEgDe7L0xzlZRERERAbAniwiIiLSTqltdcrpOlnsySIiIqJCvLy8kHHvNERBXqnLSr97AnfTKylQq7KFSRYREREV0q9fPwgAqdd+KVU5qpz7+Pf8D9gSu1CZipUhTLKIiIioEEtLS6xdswDXkqKQl5epdznXzq2CvVN9tGnTRrnKlRFMsoiIiEir4OBg2Fb0QvKFdXqdn/XgX9y4uhX74pcrXLOygUkWERERaSVJErb/sgzXL65HTvZtnc+/kvQdXL2CULt2bQPUzvQxySIiIqIiNWvWDI5VmuFaUqRO56XfO4V7N/9E4qGlBqqZ6WOSRURERMX684/luJUch8yMS7LihRC4fPpbVK3WCx4eHgaunelikkVERETFql69Otx8u+LyGXm9UndT/0B25nWcPrbIwDUzbUyyiIiIqER/JyxB+t0TuH/7WLFxBQV5uPzPMixaMAsVK1Z8RrUzTUyyiIiIqEQuLi7weqEfLp9ZUuym0Teu/gxJMkdISMgzrJ1pYpJFREREspw5Nh+qnPu4lfy71s/zVA9x7exKrF+7CBYW3LmPSRYRERHJYmtri+XL5uJq0nIU5OcU+jz5wlrYVvRFly5djFA708Mki4iIiGTr168fLCwr4frljRrHc7Ju4vqlDfh9+3JIkmSk2pkWJllEREQkm5mZGTbFfIt/z62GKjdNffxq0vdwcmuBxo0bG7F2pqXMJFndunWDj48PbGxs4OHhgf79++P69etaY+/cuQMvLy9IkoT79+8XW25OTg4++ugjuLi4oEKFCujWrRv+/fdfA7SAiIjo+dC+fXtUcqyDf8+tAQA8TL+A29fjcXh/+dw+pyhlJslq27Yt1q9fj6SkJMTExODChQt4++23tcaGhoaifv36ssodNWoUNm7ciHXr1mHfvn148OAB3njjDeTn5ytZfSIioufK3t+XI/XKZmQ/vI7LZ5bA3S8Yfn5+xq6WSZGEEMLYldDHli1b0L17d+Tk5MDS0lJ9/Ntvv8WPP/6IqVOnol27drh37x4qV66stYy0tDS4urpi9erV6NWrFwDg+vXr8Pb2xq+//oqgoCBZdUlPT4eDgwPS0tJgb29f6rYREREVxZT+n+Pm0wUP7p9BbvZt3LxxBY6Ojkatj6kpk89X3r17F9HR0WjevLlGgnX69GlMnz4df/75Jy5evFhiOUePHoVKpULHjh3Vxzw9PVG3bl0cOHCgyCQrJycHOTn/PVWRlvZoTDo9PV3fJhEREcny+P81ptBHcuzgMvj4vgCfGoOZYGlRppKsiRMnYtGiRcjMzESzZs2wdetW9Wc5OTno06cPvvjiC/j4+MhKslJTU2FlZVXoPww3NzekpqYWed6sWbMwbdq0Qse9vb11aA0REZH+7ty5AwcHB6PWoWrVqsjPyzJqHUyZUZOsiIgIrcnKkw4fPqx+UmH8+PEIDQ3FlStXMG3aNAwYMABbt26FJEkICwtDQEAA3n333VLXSwhR7OOnYWFhGDNmjPr9/fv34evri6tXrxr9P3glpKenw9vbG9euXTN6V3RpPU9tAdgeU/Y8tQVge0xZWloafHx84OTkZOyqUAmMmmQNHz4cvXv3LjbmyUl0Li4ucHFxQY0aNRAQEABvb28cOnQIgYGB2LVrF06cOIENGzYA+K8b1cXFBZ988onWZM7d3R25ubm4d++eRm/WzZs30bx58yLrZG1tDWtr60LHHRwcyvwv75Ps7e2fm/Y8T20B2B5T9jy1BWB7TJmZWZl5dq3cMmqS9Thp0sfjJOrx3KiYmBhkZf3XZXn48GGEhITgjz/+QPXq1bWW0ahRI1haWiIuLg49e/YEAKSkpODkyZOYM2eOXvUiIiIiAsrInKyEhAQkJCSgZcuWcHR0xMWLFzF16lRUr14dgYGBAFAokbp9+zYAICAgQP10YXJyMtq1a4dVq1ahadOmcHBwQGhoKMaOHQtnZ2c4OTlh3LhxqFevHtq3b/9M20hERETPlzKRZNna2iI2Nhbh4eF4+PAhPDw80KlTJ6xbt07rsF1RVCoVkpKSkJmZqT42b948WFhYoGfPnsjKykK7du0QFRUFc3Nz2eVaW1sjPDxcp7qYsuepPc9TWwC2x5Q9T20B2B5T9jy15XlXZtfJIiIiIjJlnDVHREREZABMsoiIiIgMgEkWERERkQEwySIiIiIyACZZT9m7dy+6du0KT09PSJKETZs2aXz+4MEDDB8+HF5eXrC1tUVAQAC+/fbbEsuNiYlB7dq1YW1tjdq1a2Pjxo0GaoEmQ7QnKioKkiQVemVnZxuwJSW35caNGxg0aBA8PT1hZ2eHTp064dy5cyWWa6r3Rp/2GOvezJo1C02aNEGlSpVQpUoVdO/eHUlJSRoxQghERETA09MTtra2aNOmDU6dOlVi2ca4P4ZqjzHuj5y2xMbGIigoCC4uLpAkCcePH5dVtqneG33aY6q/OyqVChMnTkS9evVQoUIFeHp6YsCAAbh+/XqJZRvrbxv9h0nWUx4+fIiXXnoJixYt0vr56NGjsW3bNqxZswZnzpzB6NGj8dFHH2Hz5s1Flnnw4EH06tUL/fv3x19//YX+/fujZ8+e+PPPPw3VDDVDtAd4tGpySkqKxsvGxsYQTVArri1CCHTv3h0XL17E5s2bkZiYCF9fX7Rv3x4PHz4sskxTvTf6tgcwzr3Zs2cPPvzwQxw6dAhxcXHIy8tDx44dNeo6Z84cfPXVV1i0aBEOHz4Md3d3dOjQARkZGUWWa6z7Y6j2AM/+/shpy8OHD9GiRQvMnj1bdrmmfG/0aQ9gmr87mZmZOHbsGKZMmYJjx44hNjYWZ8+eRbdu3Yot15h/2+gJgooEQGzcuFHjWJ06dcT06dM1jjVs2FBMnjy5yHJ69uwpOnXqpHEsKChI9O7dW7G6yqFUeyIjI4WDg4MBaijf021JSkoSAMTJkyfVx/Ly8oSTk5P47rvviizHVO+Nvu0xhXsjhBA3b94UAMSePXuEEEIUFBQId3d3MXv2bHVMdna2cHBwEEuWLCmyHFO5P0q1xxTuz9NtedKlS5cEAJGYmFhiOaZ6b56kS3tM4d4IUXx7HktISBAAxJUrV4qMMZX7U96xJ0tHLVu2xJYtW5CcnAwhBOLj43H27FkEBQUVec7BgwfRsWNHjWNBQUE4cOCAoatbIn3aAzwaZvT19YWXlxfeeOMNJCYmPqMaa/d4e6Un/9Vpbm4OKysr7Nu3r8jzTPXe6NsewDTuTVpaGgCoN7C9dOkSUlNTNb5ra2trtG7dutjv2lTuj1LtAYx/f55ui75M9d6UhrHvDSCvPWlpaZAkSb2biTamcn/KOyZZOlqwYAFq164NLy8vWFlZoVOnTvjmm2/QsmXLIs9JTU2Fm5ubxjE3NzekpqYaurol0qc9tWrVQlRUFLZs2YK1a9fCxsYGLVq0kDX/yVBq1aoFX19fhIWF4d69e8jNzcXs2bORmpqKlJSUIs8z1Xujb3tM4d4IITBmzBi0bNkSdevWBQD196nrd20K90fJ9hj7/mhri75M9d7oy9j3BpDXnuzsbEyaNAl9+/YtdqNrU7g/VEa21TElCxYswKFDh7Blyxb4+vpi7969GDZsGDw8PIrd71CSJI33QohCx4xBn/Y0a9YMzZo1U79v0aIFGjZsiIULF2LBggXPquoaLC0tERMTg9DQUDg5OcHc3Bzt27fH66+/XuK5pnhv9G2PKdyb4cOH4++//9ba46bPd23s+6Nke4x9f4priz5M+d7oytj3Bii5PSqVCr1790ZBQQG++eabEssz9v0hJlk6ycrKwscff4yNGzeiS5cuAID69evj+PHjmDt3bpFJibu7e6F/Pdy8ebPQvzKeNX3b8zQzMzM0adLEqD1ZANCoUSMcP34caWlpyM3NhaurK1555RU0bty4yHNM9d4A+rXnac/63nz00UfYsmUL9u7dCy8vL/Vxd3d3AI/+de3h4aE+XtJ3bez7o3R7nvYs709RbdGXqd4bpZjK785jKpUKPXv2xKVLl7Br165ie7EA498feoTDhTpQqVRQqVQwM9P82szNzVFQUFDkeYGBgYiLi9M4tmPHDjRv3twg9ZRL3/Y8TQiB48ePa/zPxpgcHBzg6uqKc+fO4ciRIwgODi4y1lTvzZN0ac/TntW9EUJg+PDhiI2Nxa5du+Dv76/xub+/P9zd3TW+69zcXOzZs6fY79pY98dQ7dF2HUPfn5Laoi9TvTdKXscUfneA/xKsc+fOYefOnXB2di6x3LLwt61ceIaT7MuEjIwMkZiYKBITEwUA8dVXX4nExET1UxytW7cWderUEfHx8eLixYsiMjJS2NjYiG+++UZdRv/+/cWkSZPU7/fv3y/Mzc3F7NmzxZkzZ8Ts2bOFhYWFOHToUJlsT0REhNi2bZu4cOGCSExMFIMHDxYWFhbizz//NGpb1q9fL+Lj48WFCxfEpk2bhK+vr+jRo4dGGWXp3ujTHmPdmw8++EA4ODiI3bt3i5SUFPUrMzNTHTN79mzh4OAgYmNjxYkTJ0SfPn2Eh4eHSE9PL7I9xro/hmqPMe6PnLbcuXNHJCYmil9++UUAEOvWrROJiYkiJSWlyLaY8r3Rpz2m+rujUqlEt27dhJeXlzh+/LhGTE5OTpHtMebfNvoPk6ynxMfHCwCFXgMHDhRCCJGSkiIGDRokPD09hY2NjahZs6b48ssvRUFBgbqM1q1bq+Mf++mnn0TNmjWFpaWlqFWrloiJiSmz7Rk1apTw8fERVlZWwtXVVXTs2FEcOHDA6G35+uuvhZeXl7C0tBQ+Pj5i8uTJGn+EtLVFCNO9N/q0x1j3Rls7AIjIyEh1TEFBgQgPDxfu7u7C2tpavPrqq+LEiRPFtkcI49wfQ7XHGPdHTlsiIyO1xoSHhxfZFiFM997o0x5T/d15vAyFtld8fHyR7RHCeH/b6D+SEELo3w9GRERERNpwThYRERGRATDJIiIiIjIAJllEREREBsAki4iIiMgAmGQRERERGQCTLCIiIiIDYJJFREREZABMsoiIiIgMgEkW0TPWpk0bjBo16rm67qBBg9C9e/dSleHn5wdJkiBJEu7fv19kXFRUFCpXrlyqa5mKqKgodZuN8d8EERkWkyyiciI2Nhaffvqp+r2fnx/mz59vvAppMX36dKSkpMDBwcHYVXkmevXqhZSUFAQGBhq7KkRkABbGrgARPRtOTk7GrkKJKlWqBHd3d2NXAwCgUqlgaWlp0GvY2trC1tYWVlZWBr0OERkHe7KIjOzevXsYMGAAHB0dYWdnh9dffx3nzp1Tf/54eGz79u0ICAhAxYoV0alTJ6SkpKhj8vLyMGLECFSuXBnOzs6YOHEiBg4cqDGE9+RwYZs2bXDlyhWMHj1aPVwFABEREXj55Zc16jd//nz4+fmp3+fn52PMmDHqa02YMAFPb4EqhMCcOXNQrVo12Nra4qWXXsKGDRv0+n6ioqLg4+MDOzs7vPnmm7hz506hmJ9//hmNGjWCjY0NqlWrhmnTpiEvL0/9+T///IOWLVvCxsYGtWvXxs6dOyFJEjZt2gQAuHz5MiRJwvr169GmTRvY2NhgzZo1AIDIyEgEBATAxsYGtWrVwjfffKNx7eTkZPTq1QuOjo5wdnZGcHAwLl++rP589+7daNq0KSpUqIDKlSujRYsWuHLlil7fBRGVLUyyiIxs0KBBOHLkCLZs2YKDBw9CCIHOnTtDpVKpYzIzMzF37lysXr0ae/fuxdWrVzFu3Dj1559//jmio6MRGRmJ/fv3Iz09XZ1AaBMbGwsvLy/18NyTCVtJvvzyS3z//fdYsWIF9u3bh7t372Ljxo0aMZMnT0ZkZCS+/fZbnDp1CqNHj8a7776LPXv2yP9iAPz5558ICQnBsGHDcPz4cbRt2xYzZszQiNm+fTveffddjBgxAqdPn8bSpUsRFRWFmTNnAgAKCgrQvXt32NnZ4c8//8SyZcvwySefaL3exIkTMWLECJw5cwZBQUH47rvv8Mknn2DmzJk4c+YMPvvsM0yZMgUrV64E8Oi+tG3bFhUrVsTevXuxb98+dRKcm5uLvLw8dO/eHa1bt8bff/+NgwcP4r333lMntUT0nBNE9Ey1bt1ajBw5UgghxNmzZwUAsX//fvXnt2/fFra2tmL9+vVCCCEiIyMFAHH+/Hl1zOLFi4Wbm5v6vZubm/jiiy/U7/Py8oSPj48IDg7Wel0hhPD19RXz5s3TqFt4eLh46aWXNI7NmzdP+Pr6qt97eHiI2bNnq9+rVCrh5eWlvtaDBw+EjY2NOHDggEY5oaGhok+fPkV+L9rq06dPH9GpUyeNY7169RIODg7q961atRKfffaZRszq1auFh4eHEEKI3377TVhYWIiUlBT153FxcQKA2LhxoxBCiEuXLgkAYv78+RrleHt7ix9++EHj2KeffioCAwOFEEKsWLFC1KxZUxQUFKg/z8nJEba2tmL79u3izp07AoDYvXt3ke0WovC9IaLnA+dkERnRmTNnYGFhgVdeeUV9zNnZGTVr1sSZM2fUx+zs7FC9enX1ew8PD9y8eRMAkJaWhhs3bqBp06bqz83NzdGoUSMUFBQoWt+0tLRCE7UtLCzQuHFj9ZDh6dOnkZ2djQ4dOmicm5ubiwYNGuh0vTNnzuDNN9/UOBYYGIht27ap3x89ehSHDx9W91wBj4Y0s7OzkZmZiaSkJHh7e2vM9Xryu3pS48aN1T/funUL165dQ2hoKIYOHao+npeXp56Yf/ToUZw/fx6VKlXSKCc7OxsXLlxAx44dMWjQIAQFBaFDhw5o3749evbsCQ8PD52+ByIqm5hkERmReGou05PHnxxSenoCtiRJhc59egiqqLKLY2ZmVui8J4ct5Xic2P3yyy+oWrWqxmfW1tY6lSWnDQUFBZg2bRp69OhR6DMbG5tC32VxKlSooFEuAHz33XcaSTDwKIl9HNOoUSNER0cXKsvV1RXAozldI0aMwLZt2/Djjz9i8uTJiIuLQ7NmzWTViYjKLiZZREZUu3Zt5OXl4c8//0Tz5s0BAHfu3MHZs2cREBAgqwwHBwe4ubkhISEBrVq1AvCoJycxMbHQJPYnWVlZIT8/X+OYq6srUlNTNRKT48ePa1zLw8MDhw4dwquvvgrgUc/O0aNH0bBhQ3WbrK2tcfXqVbRu3VpWG4pSu3ZtHDp0SOPY0+8bNmyIpKQkvPDCC1rLqFWrFq5evYobN27Azc0NAHD48OESr+3m5oaqVavi4sWL6Nevn9aYhg0b4scff0SVKlVgb29fZFkNGjRAgwYNEBYWhsDAQPzwww9MsojKASZZREb04osvIjg4GEOHDsXSpUtRqVIlTJo0CVWrVkVwcLDscj766CPMmjULL7zwAmrVqoWFCxfi3r17xfbg+Pn5Ye/evejduzesra3h4uKCNm3a4NatW5gzZw7efvttbNu2Db/99ptGAjFy5EjMnj0bL774IgICAvDVV19pLB5aqVIljBs3DqNHj0ZBQQFatmyJ9PR0HDhwABUrVsTAgQNlt2vEiBFo3rw55syZg+7du2PHjh0aQ4UAMHXqVLzxxhvw9vbGO++8AzMzM/z99984ceIEZsyYgQ4dOqB69eoYOHAg5syZg4yMDPXE95J6uCIiIjBixAjY29vj9ddfR05ODo4cOYJ79+5hzJgx6NevH7744gsEBwdj+vTp8PLywtWrVxEbG4vx48dDpVJh2bJl6NatGzw9PZGUlISzZ89iwIABsr8DIiq7+HQhkZFFRkaiUaNGeOONNxAYGAghBH799Ved1miaOHEi+vTpgwEDBiAwMBAVK1ZEUFAQbGxsijxn+vTpuHz5MqpXr64e2goICMA333yDxYsX46WXXkJCQoLGU4wAMHbsWAwYMACDBg1CYGAgKlWqVGje1KeffoqpU6di1qxZCAgIQFBQEH7++Wf4+/vr8M0AzZo1w/Lly7Fw4UK8/PLL2LFjByZPnqwRExQUhK1btyIuLg5NmjRBs2bN8NVXX8HX1xfAo6G9TZs24cGDB2jSpAmGDBmiLqO47wcAhgwZguXLlyMqKgr16tVD69atERUVpW6HnZ0d9u7dCx8fH/To0QMBAQEICQlBVlYW7O3tYWdnh3/++QdvvfUWatSogffeew/Dhw/H//73P52+ByIqmyShz8QNIjJpBQUFCAgIQM+ePTVWeTdlfn5+GDVq1DPZXmb//v1o2bIlzp8/r/FAgbG0adMGL7/8ssmtwE9EpcOeLKLnwJUrV/Ddd9/h7NmzOHHiBD744ANcunQJffv2NXbVdDJx4kRUrFgRaWlpipa7ceNGxMXF4fLly9i5cyfee+89tGjRwugJVnR0NCpWrIg//vjDqPUgIsPgnCyi54CZmRmioqIwbtw4CCFQt25d7Ny5U/bkeVOwZ88e9ZOMTy+JUFoZGRmYMGECrl27BhcXF7Rv3x5ffvmlotfQR7du3dRPLj4vm14T0X84XEhERERkABwuJCIiIjIAJllEREREBsAki4iIiMgAmGQRERERGQCTLCIiIiIDYJJFREREZABMsoiIiIgMgEkWERERkQH8HwsJ2Xqcfs5zAAAAAElFTkSuQmCC", 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", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "forcing_files = [\n", - " lisflood_forcing.PrefixPrecipitation,\n", - " lisflood_forcing.PrefixTavg,\n", - " lisflood_forcing.PrefixE0,\n", - " lisflood_forcing.PrefixES0,\n", - " lisflood_forcing.PrefixET0,\n", - "]\n", - "# Loading global dataset takes a few minutes\n", - "for file_name in forcing_files:\n", - " dataset = xr.load_dataset(f\"{lisflood_forcing.directory}/{file_name}\")\n", - " var = list(dataset.data_vars.keys())[0]\n", - " dataset[var].isel(time=1).sel(lon=slice(18, 22), lat=slice(-31, -34)).plot(\n", - " cmap=\"coolwarm\", robust=True, size=5\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.9" - }, - "metadata": { - "interpreter": { - "hash": "a8aa8210cb3d81d2b5c08b30572e78ad19bd30da92b4caf9890388bc07c5e3bf" - } - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/plugins/lisflood/index.rst b/docs/plugins/lisflood/index.rst deleted file mode 100644 index 9633ef70..00000000 --- a/docs/plugins/lisflood/index.rst +++ /dev/null @@ -1,10 +0,0 @@ -Welcome to the LISFLOOD model plugin -==================================== - -Examples --------- - -.. toctree:: - - Model - Generate forcing diff --git a/docs/plugins/lisflood/model.ipynb b/docs/plugins/lisflood/model.ipynb deleted file mode 100644 index ce35beb6..00000000 --- a/docs/plugins/lisflood/model.ipynb +++ /dev/null @@ -1,598 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "c02a5bfe", - "metadata": {}, - "source": [ - "![image](https://github.com/eWaterCycle/ewatercycle/raw/main/docs/examples/logo.png)" - ] - }, - { - "cell_type": "markdown", - "id": "dd265189-37f4-4256-9740-0bac2b1eacee", - "metadata": {}, - "source": [ - "# Running LISFLOOD model using eWaterCycle package (on SURF Research Cloud)\n", - "\n", - "This notebooks shows how to run [LISFLOOD](https://ec-jrc.github.io/lisflood-model/) model. Please note that the [lisflood-grpc4bmi docker image](https://hub.docker.com/r/ewatercycle/lisflood-grpc4bmi) in eWaterCycle is compatible only with forcing data and parameter set on [eWaterCycle infrastructure](https://github.com/eWaterCycle/infra) like a server on the SURF Research Cloud. More information about data, configuration and installation instructions can be found in the [System setup](https://ewatercycle.readthedocs.io/en/latest/system_setup.html) in the eWaterCycle documentation." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "20d65b1f-0ddd-45d7-be97-e73635b8e736", - "metadata": {}, - "outputs": [], - "source": [ - "import logging\n", - "import warnings\n", - "\n", - "logger = logging.getLogger(\"grpc4bmi\")\n", - "logger.setLevel(logging.WARNING)\n", - "\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "b973913f-9472-4c00-bc4b-a170e42710ed", - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "8ed2138d", - "metadata": {}, - "source": [ - "## Load forcing data\n", - "\n", - "For this example notebook, `lisflood_ERA-Interim_*_1990_1990.nc` data are copied \n", - "from `/projects/0/wtrcycle/comparison/forcing/lisflood` to `/scratch/shared/ewatercycle/lisflood_example/lisflood_forcing_data`.\n", - "Also the lisvap output files 'e0', 'es0' and 'et0' are generated and stored in the same directory.\n", - "These data are made by running ESMValTool recipe and lisvap. We can now use those files to run the Lisflood model." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "54344de9", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "eWaterCycle forcing\n", - "-------------------\n", - "start_time=1990-01-01T00:00:00Z\n", - "end_time=1990-12-31T00:00:00Z\n", - "directory=/mnt/data/forcing/lisflood_ERA5_1990_global-masked\n", - "shape=None\n", - "PrefixPrecipitation=lisflood_ERA5_pr_1990_1990.nc\n", - "PrefixTavg=lisflood_ERA5_tas_1990_1990.nc\n", - "PrefixE0=lisflood_ERA5_e0_1990_1990.nc\n", - "PrefixES0=lisflood_ERA5_es0_1990_1990.nc\n", - "PrefixET0=lisflood_ERA5_et0_1990_1990.nc\n" - ] - } - ], - "source": [ - "forcing = ewatercycle.forcing.sources[\"LisfloodForcing\"](\n", - " directory=\"/mnt/data/forcing/lisflood_ERA5_1990_global-masked\",\n", - " start_time=\"1990-01-01T00:00:00Z\",\n", - " end_time=\"1990-12-31T00:00:00Z\",\n", - " PrefixPrecipitation=\"lisflood_ERA5_pr_1990_1990.nc\",\n", - " PrefixTavg=\"lisflood_ERA5_tas_1990_1990.nc\",\n", - " PrefixE0=\"lisflood_ERA5_e0_1990_1990.nc\",\n", - " PrefixES0=\"lisflood_ERA5_es0_1990_1990.nc\",\n", - " PrefixET0=\"lisflood_ERA5_et0_1990_1990.nc\",\n", - ")\n", - "print(forcing)" - ] - }, - { - "cell_type": "markdown", - "id": "73c1a63a-9e08-4270-a10a-ea25731c520f", - "metadata": { - "tags": [] - }, - "source": [ - "## Load parameter set" - ] - }, - { - "cell_type": "markdown", - "id": "4e968d36-c1be-4e60-99f3-87552f84364c", - "metadata": { - "tags": [] - }, - "source": [ - "This example uses parameter set from SURF dCache storage." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "b5047917-8fcc-4672-9652-aa705b938c89", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Parameter set\n", - "-------------\n", - "name=Lisflood01degree_masked\n", - "directory=/mnt/data/parameter-sets/lisflood_global-masked_01degree\n", - "config=/mnt/data/parameter-sets/lisflood_global-masked_01degree/settings_lisflood_ERA5.xml\n", - "doi=N/A\n", - "target_model=lisflood\n", - "supported_model_versions=set()\n" - ] - } - ], - "source": [ - "parameterset = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"Lisflood01degree_masked\",\n", - " directory=\"/mnt/data/parameter-sets/lisflood_global-masked_01degree\",\n", - " config=\"settings_lisflood_ERA5.xml\",\n", - " target_model=\"lisflood\",\n", - ")\n", - "print(parameterset)" - ] - }, - { - "cell_type": "markdown", - "id": "d84b4ae9-641b-4491-b45a-828ce470e09d", - "metadata": { - "tags": [] - }, - "source": [ - "## Set up the model" - ] - }, - { - "cell_type": "markdown", - "id": "a6e1eae3-f3ca-44ca-ab1d-5192544b947e", - "metadata": { - "tags": [] - }, - "source": [ - "To create the model object, we need to select a version." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "2fe222cb", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('20.10',)" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ewatercycle.models.Lisflood.available_versions" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "7915f0ed", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model version 20.10 is not explicitly listed in the supported model versions of this parameter set. This can lead to compatibility issues.\n", - "eWaterCycle Lisflood\n", - "-------------------\n", - "Version = 20.10\n", - "Parameter set = \n", - " Parameter set\n", - " -------------\n", - " name=Lisflood01degree_masked\n", - " directory=/mnt/data/parameter-sets/lisflood_global-masked_01degree\n", - " config=/mnt/data/parameter-sets/lisflood_global-masked_01degree/settings_lisflood_ERA5.xml\n", - " doi=N/A\n", - " target_model=lisflood\n", - " supported_model_versions=set()\n", - "Forcing = \n", - " eWaterCycle forcing\n", - " -------------------\n", - " start_time=1990-01-01T00:00:00Z\n", - " end_time=1990-12-31T00:00:00Z\n", - " directory=/mnt/data/forcing/lisflood_ERA5_1990_global-masked\n", - " shape=None\n", - " PrefixPrecipitation=lisflood_ERA5_pr_1990_1990.nc\n", - " PrefixTavg=lisflood_ERA5_tas_1990_1990.nc\n", - " PrefixE0=lisflood_ERA5_e0_1990_1990.nc\n", - " PrefixES0=lisflood_ERA5_es0_1990_1990.nc\n", - " PrefixET0=lisflood_ERA5_et0_1990_1990.nc\n" - ] - } - ], - "source": [ - "model = ewatercycle.models.Lisflood(\n", - " version=\"20.10\", parameter_set=parameterset, forcing=forcing\n", - ")\n", - "print(model)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "5d66b316", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[('IrrigationEfficiency', '0.75'),\n", - " ('MaskMap', '/data/input/areamaps/model_mask'),\n", - " ('start_time', '1990-01-01T00:00:00Z'),\n", - " ('end_time', '1990-12-31T00:00:00Z')]" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.parameters" - ] - }, - { - "cell_type": "markdown", - "id": "4c93fdf8-fc76-43e5-97d7-262965eca71d", - "metadata": {}, - "source": [ - "Setup model with model_mask, IrrigationEfficiency of 0.8 instead of 0.75 and an earlier end time, making total model time just 1 month." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "9baa4158-aae8-49d7-83b2-4ab46d99a1fe", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Running /mnt/data/apptainer-images/ewatercycle-lisflood-grpc4bmi_20.10.sif apptainer container on port 41619\n", - "/home/vagrant/ewatercycle/docs/examples/ewatercycle_output/lisflood_20210930_093520/lisflood_setting.xml\n", - "/home/vagrant/ewatercycle/docs/examples/ewatercycle_output/lisflood_20210930_093520\n" - ] - } - ], - "source": [ - "model_mask = \"/mnt/data/climate-data/aux/LISFLOOD/model_mask.nc\"\n", - "\n", - "config_file, config_dir = model.setup(\n", - " IrrigationEfficiency=\"0.8\", end_time=\"1990-1-31T00:00:00Z\", MaskMap=model_mask\n", - ")\n", - "print(config_file)\n", - "print(config_dir)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "473ff55b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[('IrrigationEfficiency', '0.8'),\n", - " ('MaskMap', '/mnt/data/climate-data/aux/LISFLOOD/model_mask'),\n", - " ('start_time', '1990-01-01T00:00:00Z'),\n", - " ('end_time', '1990-01-31T00:00:00Z')]" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.parameters" - ] - }, - { - "cell_type": "markdown", - "id": "09852786-76ae-439d-8ab9-e30387acba1a", - "metadata": {}, - "source": [ - "Initialize the model with the config file:" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "dea5b7c2-9b7f-425f-afdd-6c0398ff5cf1", - "metadata": {}, - "outputs": [], - "source": [ - "model.initialize(config_file)" - ] - }, - { - "cell_type": "markdown", - "id": "13318b5b-1ada-4c1f-995b-f4ff3486e817", - "metadata": {}, - "source": [ - "Get model variable names" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "f252b08d-5b86-412c-aa1f-31816b1f97f4", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('Discharge',)" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.output_var_names" - ] - }, - { - "cell_type": "markdown", - "id": "3e92d7bc-952d-4716-b7f1-c0f219c7aba0", - "metadata": {}, - "source": [ - "## Run the model" - ] - }, - { - "cell_type": "markdown", - "id": "80d7c751-74a4-4057-ac04-15bc216e131f", - "metadata": {}, - "source": [ - "Store simulated values at one target location until model end time. In this example, we use the coordinates of Merrimack observation station as the target coordinates. " - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "a34ea3f7-200f-4275-b5fd-778bad3f67cb", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1990-01-03T00:00:00Z\n", - "1990-01-04T00:00:00Z\n", - "1990-01-05T00:00:00Z\n", - "1990-01-06T00:00:00Z\n", - "1990-01-07T00:00:00Z\n", - "1990-01-08T00:00:00Z\n", - "1990-01-09T00:00:00Z\n", - "1990-01-10T00:00:00Z\n", - "1990-01-11T00:00:00Z\n", - "1990-01-12T00:00:00Z\n", - "1990-01-13T00:00:00Z\n", - "1990-01-14T00:00:00Z\n", - "1990-01-15T00:00:00Z\n", - "1990-01-16T00:00:00Z\n", - "1990-01-17T00:00:00Z\n", - "1990-01-18T00:00:00Z\n", - "1990-01-19T00:00:00Z\n", - "1990-01-20T00:00:00Z\n", - "1990-01-21T00:00:00Z\n", - "1990-01-22T00:00:00Z\n", - "1990-01-23T00:00:00Z\n", - "1990-01-24T00:00:00Z\n", - "1990-01-25T00:00:00Z\n", - "1990-01-26T00:00:00Z\n", - "1990-01-27T00:00:00Z\n", - "1990-01-28T00:00:00Z\n", - "1990-01-29T00:00:00Z\n", - "1990-01-30T00:00:00Z\n", - "1990-01-31T00:00:00Z\n" - ] - } - ], - "source": [ - "target_longitude = [-71.35]\n", - "target_latitude = [42.64]\n", - "target_discharge = []\n", - "time_range = []\n", - "end_time = model.end_time\n", - "\n", - "while model.time < end_time:\n", - " model.update()\n", - " target_discharge.append(\n", - " model.get_value_at_coords(\n", - " \"Discharge\", lon=target_longitude, lat=target_latitude\n", - " )[0]\n", - " )\n", - " time_range.append(model.time_as_datetime.date())\n", - " print(model.time_as_isostr)" - ] - }, - { - "cell_type": "markdown", - "id": "fe2778a3-33c3-4d95-a316-7120618dc4c6", - "metadata": {}, - "source": [ - "Store simulated values for all locations of the model grid at end time." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "9e092460-2913-459a-b11d-01f66358e350", - "metadata": {}, - "outputs": [], - "source": [ - "discharge = model.get_value_as_xarray(\"Discharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "4d553415-c941-4b65-97c2-ce49c08d45e1", - "metadata": {}, - "outputs": [], - "source": [ - "model.finalize()" - ] - }, - { - "cell_type": "markdown", - "id": "72deaa2b-5b47-49b6-9d55-03ffd95cfe7b", - "metadata": {}, - "source": [ - "## Inspect the results\n", - "\n", - "The discharge time series at Merrimack observation station:" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "b9274b40", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "simulated_target_discharge = pd.DataFrame(\n", - " {\"simulation\": target_discharge}, index=pd.to_datetime(time_range)\n", - ")\n", - "simulated_target_discharge.plot(figsize=(12, 8))" - ] - }, - { - "cell_type": "markdown", - "id": "d0382f4d-e179-4ee7-bd24-f258919e6c53", - "metadata": {}, - "source": [ - "The lisflood output has a global extent. In this example, we plot the discharge values in Merrimack catchment and at the last time step." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "a74a7ca1-35c2-49cd-aeaf-874510f00c0c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "lc = discharge.coords[\"longitude\"]\n", - "la = discharge.coords[\"latitude\"]\n", - "discharge_map = discharge.loc[\n", - " dict(longitude=lc[(lc > -73) & (lc < -70)], latitude=la[(la > 42) & (la < 45)])\n", - "].plot(robust=True, cmap=\"GnBu\", figsize=(12, 8))\n", - "discharge_map.axes.scatter(\n", - " target_longitude, target_latitude, s=250, c=\"r\", marker=\"x\", lw=2\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f0003f05-a9f9-4692-b92d-45c78079c496", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": 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", - "text/plain": [ - "
    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "simulated_discharge.plot(figsize=(12, 8))" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.9" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/plugins/marrmot/MarrmotM14.ipynb b/docs/plugins/marrmot/MarrmotM14.ipynb deleted file mode 100644 index 00579ff8..00000000 --- a/docs/plugins/marrmot/MarrmotM14.ipynb +++ /dev/null @@ -1,468 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "e147b561-54da-48dd-bce2-90da2f202391", - "metadata": {}, - "source": [ - "![image](https://github.com/eWaterCycle/ewatercycle/raw/main/docs/examples/logo.png)" - ] - }, - { - "cell_type": "markdown", - "id": "f13bf080-845e-436c-b3fe-75ca37175a35", - "metadata": {}, - "source": [ - "# Running MARRMoT M14 model using eWaterCycle package\n", - "\n", - "This notebooks shows how to run [MARRMoT](https://github.com/wknoben/MARRMoT) M14 model using an example use-case. More information about data, configuration and installation instructions can be found in the [System setup](https://ewatercycle.readthedocs.io/en/latest/system_setup.html) in the eWaterCycle documentation." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "eb98161f-337b-4db9-a174-74b47454da08", - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "74e31edd-2caa-4c1c-bd93-779b2a353c2e", - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models" - ] - }, - { - "cell_type": "markdown", - "id": "3cb657b3-595b-4147-941d-0ba1a724aeb0", - "metadata": {}, - "source": [ - "## Load forcing data" - ] - }, - { - "cell_type": "markdown", - "id": "e00cbeef-d18f-42d5-9e9c-059c2fb65f08", - "metadata": {}, - "source": [ - "To download the example forcing file `BMI_testcase_m01_BuffaloRiver_TN_USA.mat`, see this [instruction](https://ewatercycle.readthedocs.io/en/latest/system_setup.html#download-example-forcing)." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "c03cabb6-9cb3-4da3-ac96-732ba870d460", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "eWaterCycle forcing\n", - "-------------------\n", - "start_time=1989-01-01T00:00:00Z\n", - "end_time=1992-12-31T00:00:00Z\n", - "directory=/home/sarah/GitHub/ewatercycle/docs/examples\n", - "shape=None\n", - "forcing_file=BMI_testcase_m01_BuffaloRiver_TN_USA.mat\n" - ] - } - ], - "source": [ - "forcing = ewatercycle.forcing.sources[\"MarrmotForcing\"](\n", - " \"marrmot\",\n", - " directory=\".\",\n", - " start_time=\"1989-01-01T00:00:00Z\",\n", - " end_time=\"1992-12-31T00:00:00Z\",\n", - " forcing_info={\"forcing_file\": \"BMI_testcase_m01_BuffaloRiver_TN_USA.mat\"},\n", - ")\n", - "print(forcing)" - ] - }, - { - "cell_type": "markdown", - "id": "6c0ceb51-709f-4329-a08c-ece5d7793a4e", - "metadata": {}, - "source": [ - "## Set up the model" - ] - }, - { - "cell_type": "markdown", - "id": "ced917f8-1366-46a8-b2ee-b1b0074aa0e2", - "metadata": {}, - "source": [ - "To create the model object, we need to select a version." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "a46d2892", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('2020.11',)" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ewatercycle.models.MarrmotM14.available_versions" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "c4bcdad8", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The length of parameters in forcing /home/sarah/GitHub/ewatercycle/docs/examples/BMI_testcase_m01_BuffaloRiver_TN_USA.mat does not match the length of M14 parameters that is seven.\n", - "The length of initial stores in forcing /home/sarah/GitHub/ewatercycle/docs/examples/BMI_testcase_m01_BuffaloRiver_TN_USA.mat does not match the length of M14 iniatial stores that is two.\n", - "eWaterCycle MarrmotM14\n", - "-------------------\n", - "Version = 2020.11\n", - "Parameter set = \n", - " None\n", - "Forcing = \n", - " eWaterCycle forcing\n", - " -------------------\n", - " start_time=1989-01-01T00:00:00Z\n", - " end_time=1992-12-31T00:00:00Z\n", - " directory=/home/sarah/GitHub/ewatercycle/docs/examples\n", - " shape=None\n", - " forcing_file=BMI_testcase_m01_BuffaloRiver_TN_USA.mat\n" - ] - } - ], - "source": [ - "model = ewatercycle.models.MarrmotM14(version=\"2020.11\", forcing=forcing)\n", - "print(model)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "4185acc3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[('maximum_soil_moisture_storage', 1000.0),\n", - " ('threshold_flow_generation_evap_change', 0.5),\n", - " ('leakage_saturated_zone_flow_coefficient', 0.5),\n", - " ('zero_deficit_base_flow_speed', 100.0),\n", - " ('baseflow_coefficient', 0.5),\n", - " ('gamma_distribution_chi_parameter', 4.25),\n", - " ('gamma_distribution_phi_parameter', 2.5),\n", - " ('initial_upper_zone_storage', 900.0),\n", - " ('initial_saturated_zone_storage', 900.0),\n", - " ('solver',\n", - " Solver(name='createOdeApprox_IE', resnorm_tolerance=array([0.1]), resnorm_maxiter=array([6.]))),\n", - " ('start time', '1989-01-01T00:00:00Z'),\n", - " ('end time', '1992-12-31T00:00:00Z')]" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.parameters" - ] - }, - { - "cell_type": "markdown", - "id": "52021da8-cf13-4bc4-8cfb-2d696aabb7db", - "metadata": {}, - "source": [ - "Setup model with maximum soil moisture storage of 12.0 instead of 10.0 and an earlier end time, making total model time just 1 month." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "96106fc9-c0f2-4b36-ab91-f7d0475ed864", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "/home/sarah/GitHub/ewatercycle/docs/examples/marrmot_20210712_135152/marrmot-m14_config.mat\n", - "/home/sarah/GitHub/ewatercycle/docs/examples/marrmot_20210712_135152\n" - ] - } - ], - "source": [ - "cfg_file, cfg_dir = model.setup(\n", - " maximum_soil_moisture_storage=12.0,\n", - " end_time=\"1989-02-01T00:00:00Z\",\n", - ")\n", - "print(cfg_file)\n", - "print(cfg_dir)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "925fd7bd", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[('maximum_soil_moisture_storage', 12.0),\n", - " ('threshold_flow_generation_evap_change', 0.5),\n", - " ('leakage_saturated_zone_flow_coefficient', 0.5),\n", - " ('zero_deficit_base_flow_speed', 100.0),\n", - " ('baseflow_coefficient', 0.5),\n", - " ('gamma_distribution_chi_parameter', 4.25),\n", - " ('gamma_distribution_phi_parameter', 2.5),\n", - " ('initial_upper_zone_storage', 900.0),\n", - " ('initial_saturated_zone_storage', 900.0),\n", - " ('solver',\n", - " Solver(name='createOdeApprox_IE', resnorm_tolerance=array([0.1]), resnorm_maxiter=array([6.]))),\n", - " ('start time', '1989-01-01T00:00:00Z'),\n", - " ('end time', '1989-02-01T00:00:00Z')]" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.parameters" - ] - }, - { - "cell_type": "markdown", - "id": "923536ae-b089-4b43-935b-71ecb074aa0d", - "metadata": {}, - "source": [ - "Initialize the model with the config file:" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "f82a877b-e0b2-428a-a523-f04c560176de", - "metadata": {}, - "outputs": [], - "source": [ - "model.initialize(cfg_file)" - ] - }, - { - "cell_type": "markdown", - "id": "0fd020b6-816f-4a99-b969-2616ab41ef13", - "metadata": {}, - "source": [ - "Get model variable names, only `flux_out_Q` is supported for now." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "516620d3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('P',\n", - " 'T',\n", - " 'Ep',\n", - " 'S(t)',\n", - " 'par',\n", - " 'sol_resnorm_tolerance',\n", - " 'sol_resnorm_maxiter',\n", - " 'flux_out_Q',\n", - " 'flux_out_Ea',\n", - " 'wb')" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.output_var_names" - ] - }, - { - "cell_type": "markdown", - "id": "ddb3c093-d4d8-4847-95da-d3fa1334f337", - "metadata": {}, - "source": [ - "## Run the model" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "aa4a2c1a-a0d4-4931-8c69-d856a11bb46b", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1989-01-02T00:00:00Z\n", - "1989-01-03T00:00:00Z\n", - "1989-01-04T00:00:00Z\n", - "1989-01-05T00:00:00Z\n", - "1989-01-06T00:00:00Z\n", - "1989-01-07T00:00:00Z\n", - "1989-01-08T00:00:00Z\n", - "1989-01-09T00:00:00Z\n", - "1989-01-10T00:00:00Z\n", - "1989-01-11T00:00:00Z\n", - "1989-01-12T00:00:00Z\n", - "1989-01-13T00:00:00Z\n", - "1989-01-14T00:00:00Z\n", - "1989-01-15T00:00:00Z\n", - "1989-01-16T00:00:00Z\n", - "1989-01-17T00:00:00Z\n", - "1989-01-18T00:00:00Z\n", - "1989-01-19T00:00:00Z\n", - "1989-01-20T00:00:00Z\n", - "1989-01-21T00:00:00Z\n", - "1989-01-22T00:00:00Z\n", - "1989-01-23T00:00:00Z\n", - "1989-01-24T00:00:00Z\n", - "1989-01-25T00:00:00Z\n", - "1989-01-26T00:00:00Z\n", - "1989-01-27T00:00:00Z\n", - "1989-01-28T00:00:00Z\n", - "1989-01-29T00:00:00Z\n", - "1989-01-30T00:00:00Z\n", - "1989-01-31T00:00:00Z\n", - "1989-02-01T00:00:00Z\n" - ] - } - ], - "source": [ - "discharge = []\n", - "time_range = []\n", - "end_time = model.end_time\n", - "\n", - "while model.time < end_time:\n", - " model.update()\n", - " discharge.append(model.get_value(\"flux_out_Q\")[0])\n", - " time_range.append(model.time_as_datetime.date())\n", - " print(model.time_as_isostr)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "1227c78f", - "metadata": {}, - "outputs": [], - "source": [ - "model.finalize()" - ] - }, - { - "cell_type": "markdown", - "id": "f2fba8cb-57ff-4a18-91eb-191829391cc9", - "metadata": { - "tags": [] - }, - "source": [ - "## Inspect the results" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "628b5ab6-9d80-4fd0-acc1-9ff1a2c60a73", - "metadata": {}, - "outputs": [], - "source": [ - "simulated_discharge = pd.DataFrame(\n", - " {\"simulation\": discharge}, index=pd.to_datetime(time_range)\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "1a3f33b0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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/dev/null @@ -1,654 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![image](https://github.com/eWaterCycle/ewatercycle/raw/main/docs/examples/logo.png)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Generate forcing in eWaterCycle with ESMValTool\n", - "\n", - "This notebooks shows how to generate forcing data for MARRMoT models using ERA5 data and [ESMValTool hydrological recipes](https://docs.esmvaltool.org/en/latest/recipes/recipe_hydrology.html). More information about data, configuration and installation instructions can be found in the [System setup](https://ewatercycle.readthedocs.io/en/latest/system_setup.html) in the eWaterCycle documentation." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import logging\n", - "import warnings\n", - "\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "logger = logging.getLogger(\"esmvalcore\")\n", - "logger.setLevel(logging.WARNING)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from rich import print\n", - "\n", - "import ewatercycle.forcing" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "

    MarrmotForcing(\n",
    -       "    model='marrmot',\n",
    -       "    start_time='1989-01-01T00:00:00Z',\n",
    -       "    end_time='1992-12-31T00:00:00Z',\n",
    -       "    directory=PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/marrmot/esmvaltool_output/tmpl1l0jq\n",
    -       "vcrecipe_marrmot_20230801_113603/work/diagnostic_daily/script'),\n",
    -       "    shape=PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/marrmot/esmvaltool_output/tmpl1l0jqvcre\n",
    -       "cipe_marrmot_20230801_113603/work/diagnostic_daily/script/data/Rhine/Rhine.shp'),\n",
    -       "    forcing_file='marrmot_ERA5_Rhine_1989_1992.mat'\n",
    -       ")\n",
    -       "
    \n" - ], - "text/plain": [ - "\u001b[1;35mMarrmotForcing\u001b[0m\u001b[1m(\u001b[0m\n", - " \u001b[33mmodel\u001b[0m=\u001b[32m'marrmot'\u001b[0m,\n", - " \u001b[33mstart_time\u001b[0m=\u001b[32m'1989-01-01T00:00:00Z'\u001b[0m,\n", - " \u001b[33mend_time\u001b[0m=\u001b[32m'1992-12-31T00:00:00Z'\u001b[0m,\n", - " \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/marrmot/esmvaltool_output/tmpl1l0jq\u001b[0m\n", - "\u001b[32mvcrecipe_marrmot_20230801_113603/work/diagnostic_daily/script'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/marrmot/esmvaltool_output/tmpl1l0jqvcre\u001b[0m\n", - "\u001b[32mcipe_marrmot_20230801_113603/work/diagnostic_daily/script/data/Rhine/Rhine.shp'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mforcing_file\u001b[0m=\u001b[32m'marrmot_ERA5_Rhine_1989_1992.mat'\u001b[0m\n", - "\u001b[1m)\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "forcing = ewatercycle.forcing.sources[\"MarrmotForcing\"].generate(\n", - " dataset=\"ERA5\",\n", - " start_time=\"1989-01-01T00:00:00Z\",\n", - " end_time=\"1992-12-31T00:00:00Z\",\n", - " shape=\"data/Rhine/Rhine.shp\",\n", - ")\n", - "print(forcing)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plot forcing" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
    \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
    <xarray.Dataset>\n",
    -       "Dimensions:        (longitude: 1, latitude: 1, time: 1461)\n",
    -       "Coordinates:\n",
    -       "    lon            (longitude, latitude) float64 8.0\n",
    -       "    lat            (longitude, latitude) float64 49.25\n",
    -       "  * time           (time) datetime64[ns] 1989-01-01 1989-01-02 ... 1992-12-31\n",
    -       "Dimensions without coordinates: longitude, latitude\n",
    -       "Data variables:\n",
    -       "    precipitation  (longitude, latitude, time) float64 0.4295 ... 0.0007377\n",
    -       "    temperature    (longitude, latitude, time) float64 1.679 1.719 ... -5.579\n",
    -       "    evspsblpot     (longitude, latitude, time) float64 0.5528 0.523 ... 0.4567\n",
    -       "Attributes:\n",
    -       "    title:    MARRMoT forcing data\n",
    -       "    history:  Created by ewatercycle.forcing.sources.load_forcing_file(/home/...
    " - ], - "text/plain": [ - "\n", - "Dimensions: (longitude: 1, latitude: 1, time: 1461)\n", - "Coordinates:\n", - " lon (longitude, latitude) float64 8.0\n", - " lat (longitude, latitude) float64 49.25\n", - " * time (time) datetime64[ns] 1989-01-01 1989-01-02 ... 1992-12-31\n", - "Dimensions without coordinates: longitude, latitude\n", - "Data variables:\n", - " precipitation (longitude, latitude, time) float64 0.4295 ... 0.0007377\n", - " temperature (longitude, latitude, time) float64 1.679 1.719 ... -5.579\n", - " evspsblpot (longitude, latitude, time) float64 0.5528 0.523 ... 0.4567\n", - "Attributes:\n", - " title: MARRMoT forcing data\n", - " history: Created by ewatercycle.forcing.sources.load_forcing_file(/home/..." - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ds = forcing.to_xarray()\n", - "ds" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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", 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", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "ds.evspsblpot.plot()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.9" - }, - "metadata": { - "interpreter": { - "hash": "a8aa8210cb3d81d2b5c08b30572e78ad19bd30da92b4caf9890388bc07c5e3bf" - } - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/plugins/marrmot/index.rst b/docs/plugins/marrmot/index.rst deleted file mode 100644 index fb8da45a..00000000 --- a/docs/plugins/marrmot/index.rst +++ /dev/null @@ -1,11 +0,0 @@ -Welcome to the MARRMoT models plugin -==================================== - -Examples --------- - -.. toctree:: - - MarrmotM01 - MarrmotM14 - Generate forcing diff --git a/docs/plugins/pcrglobwb/Irrigation.ipynb b/docs/plugins/pcrglobwb/Irrigation.ipynb deleted file mode 100644 index 91cbb237..00000000 --- a/docs/plugins/pcrglobwb/Irrigation.ipynb +++ /dev/null @@ -1,711 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "bf4232c5", - "metadata": {}, - "source": [ - "![ewatercycle logo](https://raw.githubusercontent.com/eWaterCycle/ewatercycle/main/docs/examples/logo.png)\n", - "\n", - "# Brute force irrigation experiment\n", - "\n", - "This example notebook shows how the eWaterCycle system can be used to quickly assess the impact of irrigation on river discharge. We will manually overwrite the soil moisture values in an experiment with the PCRGlobWB model, to mimick the effect on irrigation. Obviously, this is not a realistic scenario - the eWaterCycle developers are not accountable for any consequences of implementing a real irrigation system after this example." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "8a0a0658", - "metadata": {}, - "outputs": [], - "source": [ - "# This cell is only used to suppress some distracting output messages\n", - "import warnings\n", - "\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "8d6557a8", - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "import pandas as pd\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "64036371", - "metadata": {}, - "source": [ - "We will run 2 versions of the same model:\n", - "1. A reference run with the default setup\n", - "2. An irrigation experiment where we will overwrite soil moisture values" - ] - }, - { - "cell_type": "markdown", - "id": "257b54db", - "metadata": {}, - "source": [ - "We will set up the models with identical parameters and settings. We will use a standard dataset with global parameters on 5 and 30 minutes resolution. The example parameter sets also include forcing data." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "28040082", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Parameter set\n", - "-------------\n", - "name=custom_parameter_set\n", - "directory=/mnt/data/examples/technical_paper/pcr-globwb/input\n", - "config=/mnt/home/user37/ewatercycle/docs/examples/pcrglobwb_merrimack.ini\n", - "doi=10.5281/zenodo.1045339\n", - "target_model=pcrglobwb\n", - "supported_model_versions={'setters'}\n" - ] - } - ], - "source": [ - "merrimack_parameterset = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory=\"/mnt/data/examples/technical_paper/pcr-globwb/input\",\n", - " config=\"./pcrglobwb_merrimack.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " doi=\"10.5281/zenodo.1045339\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "\n", - "print(merrimack_parameterset)" - ] - }, - { - "cell_type": "markdown", - "id": "89a2dc93", - "metadata": {}, - "source": [ - "We'll track a grid cell nearby a GRDC station with the following coordinates:" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "0c052bf5", - "metadata": {}, - "outputs": [], - "source": [ - "grdc_latitude = 42.6459\n", - "grdc_longitude = -71.2984" - ] - }, - { - "cell_type": "markdown", - "id": "cb3d7c40", - "metadata": {}, - "source": [ - "## Reference experiment\n", - "\n", - "For the purpose of illustration, we start by running the reference experiment. Then, in the irrigation experiment, we can focus on the differences with respect to the reference experiment." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "1f78aa3f", - "metadata": {}, - "outputs": [], - "source": [ - "# Instantiate the model instance\n", - "reference = ewatercycle.models.PCRGlobWB(\n", - " version=\"setters\", parameter_set=merrimack_parameterset\n", - ")\n", - "\n", - "# Create experiment folder, set up the model configuration,\n", - "# and start the container in which the model will run\n", - "reference_config, reference_dir = reference.setup()" - ] - }, - { - "cell_type": "markdown", - "id": "4568ff3a-705e-46fb-bca0-8ace3a7308e3", - "metadata": {}, - "source": [ - "Initialize the model inside the container.\n", - "Depending on your system this may take a few minutes, \n", - "log messages will start to appear in the output directory\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "81585f81", - "metadata": {}, - "outputs": [], - "source": [ - "reference.initialize(reference_config)" - ] - }, - { - "cell_type": "markdown", - "id": "e69fe5a5", - "metadata": {}, - "source": [ - "Create an empty dataframe to store the modelled discharge" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "907c4dfb", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    " - ], - "text/plain": [ - " reference experiment\n", - "time \n", - "2002-01-01 00:00:00+00:00 71.991348 NaN\n", - "2002-01-02 00:00:00+00:00 78.788757 NaN\n", - "2002-01-03 00:00:00+00:00 79.178329 NaN\n", - "2002-01-04 00:00:00+00:00 79.046112 NaN\n", - "2002-01-05 00:00:00+00:00 78.232491 NaN" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "timeseries.head()" - ] - }, - { - "cell_type": "markdown", - "id": "98842465", - "metadata": {}, - "source": [ - "We can also make a map of discharge at the last model step" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "a8f36266", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Use matplotlib to make the figure slightly nicer\n", - "fig = plt.figure(dpi=120)\n", - "ax = fig.add_subplot(111, projection=crs.PlateCarree())\n", - "\n", - "# Plotting the model field is a one-liner\n", - "reference.get_value_as_xarray(\"discharge\").plot(ax=ax, cmap=\"GnBu\")\n", - "\n", - "# Also plot the station location\n", - "ax.scatter(grdc_longitude, grdc_latitude, s=25, c=\"r\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax.add_feature(cfeature.OCEAN, zorder=2)\n", - "ax.add_feature(cfeature.RIVERS, zorder=2, color=\"k\")\n", - "ax.coastlines(zorder=3)" - ] - }, - { - "cell_type": "markdown", - "id": "1a9a3b49", - "metadata": {}, - "source": [ - "You can see that the grdc location indeed represents a cell that we would identify as a river." - ] - }, - { - "cell_type": "markdown", - "id": "1ee4b846", - "metadata": {}, - "source": [ - "We can also have a quick look at the discharge timeseries we have tracked, to see if it makes any sense." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "2414fb2f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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qpk9wZssEI8WTT5zZMhFt3DUaG23cNX1C2BH5jBUxFTK55K/W3DUaC23cNX2CUw+PF9HD1lUhNZr0aOOu6ROcqZDFTFmM6fIDGk1atHHX9AlO415Mz13pGaoaTVq0cdf0CaXS3GM6z12jSYs27po+oXSyTOK91tw1mgTauGv6hGhM4XUbZYeKKcvokr8aTXq0cdf0CeFYnIDHKOtfzMlGcZW4aehJTBpNAm3cNX1CJKYI+Ipv3GNK4XO7ir5fjaa/o427pk+IROMEvKYRLmJANR5XeD3GfrUso9Ek0MZd0ydE43H8JZBlYgq8pudeTC1fo+nvaOOu6RPCMUWZtzSauyXLaM9do0mgjbumT0iSZYqcLePzWPvVee4ajYU27po+IRKL43W7cElyDfZCicWd2TJF261G0+/Rxl3TJ1jG3e2SosoncaXwuFyIaM9do3GSlXEXkVoReUxENorIBhGZLyJ1IvKCiGw2Xwc51r9dRLaIyCYRuah0h6/pL0RiyvTcpbiTmBS4XYJbinvT0Gj6O9l67j8HnlNKnQDMAjYAtwGLlFKTgEXmZ0RkKnA1MA24GLhPRNzFPnBN/yISi+PzCB6XFDdbJq5wiWHgi5liqdH0d3o17iJSDZwF/C+AUiqslGoBLgMeNFd7ELjcfH8Z8IhSKqSU2gZsAeYV97A1/Q1bcy+BLONymTcNXVtGo7HJxnM/HmgEHhCRt0XkdyJSAQxTSu0FMF+HmuuPBHY5tm8wl2mOYSIxQxt3u6SoAdW4UrhFin7T0Gj6O9kYdw8wB/i1UuokoANTgsmApFnW7aoTkZtEZLmILG9sbMzqYDX9l3SyzOHOCCt2NBe031g84bkX86ah0fR3sjHuDUCDUmqp+fkxDGO/X0SGA5ivBxzrj3ZsPwrYk7pTpdT9Sqm5Sqm59fX1+R6/pp+QSIVMGPc/Ld3BNfcvLSjAGo9jau4u7blrNA56Ne5KqX3ALhGZYi5aAKwHngKuN5ddDzxpvn8KuFpE/CIyHpgELCvqUWv6HVa2jNvhubcFo4RjcSIFpDDGlDKyZVxozV2jceDJcr3PAn8WER+wFfgPjBvDoyJyI7ATuApAKbVORB7FuAFEgVuVUrGiH7mmXxGOxfG4JSmrJRw1jHoh2TNxpXCJ4NGeu0aTRFbGXSm1Cpib5qsFGda/E7gz/8PSDDQisTi+FM89HIuZ3xUiy1ieu9bcNRoneoaqpuTE4gqlMLJlHJq75blHC6gbEDM992LPfNVo+jvauGtKTtTU1G1ZJtW4F2CUY3Fs467LD2g0CbRx15Qcy+YmjLAlyxhfRArw3JVSuF0UfearRtPf0cZdU3KsAKrbZRj4uB1QNV4LMcpG+QFJSrHUaDTauGv6AMvoukTwuBPaeMJzL8C4W+UH3Fpz12icaOOuKTnWJCW3K9nDDkeNbJloAVq5UuBOkXs0Go027hpg+8EOGttCJdt/QpZJTllMZMsUJstYJX+1cddoEmjjruGcuxdz9o9fLtn+LWNupyzGihdQjcUVYpb81bKMRpNAG3cNAJ3h0k0iTsqWkTSee4EzVN2mll/MJiAaTX9HG/djnK4SGnULZ7ZM2jz3QmaomrVlXLoTk0aThDbuxzgH20untVvE48myTPdJTIXIMiSadWjjrtHYaON+jNPUES75GLF4ckDVLhwWK47nbpX81cZdo0mgjfsxzkEzS8bnKd2p4MyWMVIhjeWhaHECqkYqZGGToTSagYY27sc4TR2Gca8OeEs2hlOW8ThqwFhGvdCAqiHLuAqSdzSagYY27sc4B9sNWaa6LNvS/rmTmudezMJh8XiiKqR23DWaBNq4H+NYAVWXpGt9WxxiKQHVuDLK/FrGuNCSv9ZNQ3vuGk2CrIy7iGwXkTUiskpElpvL6kTkBRHZbL4Ocqx/u4hsEZFNInJRqQ5eUziW516Ige0Nq4eGy55sFLeDqcbYhfZQNZ8IdJs9jcYmF8/9XKXUbKWU1ZHpNmCRUmoSsMj8jIhMBa4GpgEXA/eJiLuIx6wpIk2m515I8a7eiKXUlonHE5IMUFAP1biz5K/uxKTR2BQiy1wGPGi+fxC43LH8EaVUSCm1DdgCzCtgHE0J6YoYk5jCJfTcLaPrzEd3GveCasuYnZhcOs9do0kiW+OugIUiskJEbjKXDVNK7QUwX4eay0cCuxzbNpjLkhCRm0RkuYgsb2xszO/oNQVjZbIUko6Y7Rhu0whH48pOgyxkbKWM9n1WFo6eoarRJMg2ReIMpdQeERkKvCAiG3tYN11krttVp5S6H7gfYO7cufqqPEJYXnUkWkLPPWkSkyGlOJ8U8vW4rc1Ss3A0Gk2WnrtSao/5egD4G4bMsl9EhgOYrwfM1RuA0Y7NRwF7inXAmuJi2dhICQ1jzFEV0mPOJE2SZfIcO+mmoUv+ajRJ9GrcRaRCRKqs98CFwFrgKeB6c7XrgSfN908BV4uIX0TGA5OAZcU+cE1xcMoyqkQBSSte6mzWES6CLGNVlxQBt+7EpNEkkY0sMwz4mxh50B7g/5RSz4nIW8CjInIjsBO4CkAptU5EHgXWA1HgVqVU6UsPaojFFbG4yqmUgOVVK2Vs73EXP989uSqkMU6kCKmQMYeW73Hpkr8ajZNejbtSaiswK83yJmBBhm3uBO4s+Og0OXHd75ayZGsT2+/6t6y3cRrESEzhKUHSanJVSBcxpYqSChlXybJMNK5QSiElnJCl0fQX9AzVAcSSrU0AOckrztzwUqVDJndiMjzukDOgmqfnntQExOUyxyrsWDWagYI27gOQxhxqtDuDkKWapZou8FmUgKp908CWk3RQVaMx0MZ9ALL7UFfW68ZSZJlSkOy5G6dcMJIIw+QbUE2d+epcptEc62jjPoAIeI0/Z0OOxt1rer2lmsgUc2TLuM0zzmnc8w2oqpSZr1BYVyeNpi8JRWM8tGR70rVQTLRxH0AMqfQDsLsle+MeVwq/GUUtlebuzJZxmUbYasjtdkneAdVY0hOBsV9t2zX9hcWbGvn2k+v4/tPrS7J/bdwHEF635bl3Zr1NLK5sj79Unntqsw5I1LQp97rzllKcqZBu7blr+hnWE/Ofl+4syRwTbdwHENbjXa6au+W5F1LAq7cxIFkbD5qee7nfXYAsY7y6XAnjrjV3TX/BGePadrCj6PvXxn0AYRn3A23ZZ8vEVUKrL7Us45RPLFmmwucpQkAV+4lAl/3V9BecTk1XCXR3bdwHEMGIYSTbgtGstzFkGcNzL1XxsHSBT+tkLvO5i5AKKbaWX6qnD42m2DidmlAJrj1t3AcISimCUcNgtgYjWW8XUw7jXjJZxnh1O4xwMBLH6xa8blf+tWXSaPlaltH0F5znfVgbd00mwrE4ShlFtFq7IlkHaOLOgGqJgpGJZh2GgQfoikTxuV143ZK3t51a8tc5lkZztON8YtWeuyYj1slRX+knrqAjnJ2GF1OKgKe0skw8TVZLVziGz+MqqA57auNt5zKN5mgnqj13TTZYwdSh1Uaue2tX79KM1cmo9LKMs1lHQnP3eVyGLFNg4TCXJAKqWnPX9BfCjnNVG3dNRkKRhOcO2enultH155jnHo8rbn9iDW9sOZjd+o6Aaqrn7nHlL8sk3zSswmHauGv6B9GkgGrxs2WybbOnOcqxPfeqAACtXb1nzFj6dK4zVF/csJ+Hl+3k3f1tnD5xSO/jpJNlIjG8bheeQgKqjpuGmO91ww5Nf8F5rqZ67hv3tVLh8zC6rjzv/WftuYuIW0TeFpGnzc91IvKCiGw2Xwc51r1dRLaIyCYRuSjvo9NkjZUGmYssY6khVkA1Ww/6t//aCsC0EdVZrR9LqbsOpixjBVTz7qHavSBZTM9Q1fQTnAY9NaD65Uff4UfPbypo/7nIMp8HNjg+3wYsUkpNAhaZnxGRqcDVwDTgYuA+ESlBCwiNEysNcmhVDrKMaRwTmnt2htGaTZdt8DKeJvDZFY7h97iM5h15B1SNV3dSKmReu9Jo+hxnqYxUz/1wV4T2HFKa05GVcReRUcC/Ab9zLL4MeNB8/yBwuWP5I0qpkFJqG7AFo6G2poRYsky9KctkM5HJMqp2tkyWltHS97PW6K0yAUI3zd3rkoJnqLpc2GUNdG0ZTX8hGlP29ZCquXeFYwXPGM/Wc/8Z8DXAOdowpdReAPN1qLl8JLDLsV6DuUxTQkJ5yTKW555b+QGri1K22TVJtWVSsmU8BeS5W7n8bhHdrEPT74jEFGVeNyLdPffOcIxItLBzuVfjLiKXAAeUUiuy3Ge6BpbdjlJEbhKR5SKyvLGxMctdazJhyTJVfg9lXndWsoyldfvNhtrZnEzK0f8025tBXClEQBzySVyBzwyo5uttx9Jk4WjjrukvRGLGLG2f25WkuSul6IrEklpR5kM2nvsZwKUish14BDhPRP4E7BeR4QDm6wFz/QZgtGP7UcCe1J0qpe5XSs1VSs2tr68v4CdoIBFQDXjdVJd5ssqWsQKSXo8Ll2QnaTi99WwnPcXiyg6kWkYYwOdx4XO78s7xTZrEpDsxafoZ0Xgcj9uF35Ns3K1rudDc916Nu1LqdqXUKKXUOIxA6UtKqeuAp4DrzdWuB5403z8FXC0ifhEZD0wClhV0lJpesTR3v8dFdcDL4SxkGWeKotftysoTd66TreceU8qWY8p9iexbn8dNwOu2T+ZcsVLanZOjdCqkpr8QiSm8LsHncSddS1ZRvXCBue+F5LnfBTwqIjcCO4GrAJRS60TkUWA9EAVuVUqVpo+UxsY27l43lQEPHeHsA6oul2TtQYfy6H0ad3juFb5E4pTP7aLMa5zY0ZjhxeSC8+ZkSUulmOmn0ZSCSCyO1+NCRNkxM4BO89otNKCak3FXSi0GFpvvm4AFGda7E7izoCPT5IT1WBfwuqjweWgPZS/LuEXwe10EIzHufn4THz1ldMbJE84TLtuATyyekGPK/U7P3UWZz2yYHY1TmatxN49fxCgdDEaWgUbTH4jGFB5z7keS526ewyUPqGr6B8FIDBHDG67wu+kM9W7knFksZT437zV28MuXt/Ds2r0Zt3F6xrkEVC2pvdIhy/g9LsrMz/kY5bjj+CvM/WTzxKLRHA0YAVUXPo8r6YnYlmX6KBVSc5QTisYJeNyIGIYuGyPnnL5f4fNwsN3o4NTUEc64TZJxz1ICiTs09zKHLON1C2Xe/D1uZ8lfa7+d4RitwQiLNuzPeX8aTV8SjSs8bkNSdBpyq0tZyQOqmv5BZzhqG7gKv4eOLGQZ5wzPMp+bRrM9X3N7ZuNuyT+eHCYfObNlrAwZ671t3PNoMxZzVIX0m+WDO8NRbnt8NTc+uJwdTcXvS6nRFItkzz1dQFUbdw3QGYpR4TcMZbnfnVU9d2cP0gqfx57V2tyD524Z98pA9r1PnZ47JKpQ+txuW3PPx7g7yxqICOVeN53hmN0g/GAPNymN5kgTicXxugzjnk5zNxrw5K+7a+M+QGgPRW3dudLnIRyN92p8nYW3nHJJNrKM0dg6+xmqlucOpHju+WvuzpgBGJJPVzhGZcDU37N4etFojhTRmCXLuJPKD3SGnRlp2rgf83SGY1SYmShWRkpvQdVYUkDSadxDGbexPIxKvyf7PPd48uQlr9O4W1kukdwNsfPmBKYcFY7ZN7lDndpz1xy92LJMShqy8ym2kKCqNu4DhPZQlHJLczdf23sJqjqn75c5slh60tzDDlkmt4Bq4rNVByZJcw/nfhI7A8IAZV43XeEolebNrUnLMpqjmEhM4XUbachJxt1x3Raiu2vjPkDodBi1Cttz79m4W5q1J8Vz7wjH7ElRqViPj5X+7DX3VFnG8tz97gIDqo6AMECF301HKEbA/C09xQ40miNNNB7H43J1qy3jdHS0cdfQEYrZU/utwGpvE5mcMzzLfckl9zMZRttzz8W4pwRUvU7P3Ze/cU947sbnMp+HzkjMrnnTU+xAoznSWJq7z5PsuXc6JMp8y2GDNu4Dho5wlEq/JcuYnnsvQUqnLOOcOQqZJQ07oOp3E4mprKL58RTP3eNKo7nnMfnIOcMWDDmqKxy1vaCm9syxA43mSBOOxfG5XWZAtXu2DHTv0JQL2rgPEDpCUdtAW7JMb567VQTS7eruuWcKqiYCqt6kzz2Oo5Qd9ASH5+52ETBrwuSjuTurQoKRLdMRitnSkZZlNEczmTx3p3HXsswxjpH2qGzd3Nbcsw2oitiSjmWDMxlGa7KFlW6YTapWLE6KLJPw3D1mtkB+mntyQLXc5zbqYJsXxPIdh3h+3b6c96vR9AXOkr/hWNyOgXXqbBmNhZXPbRl1y8h39JoKaZw4Ts/9uGqjTV9Gzd323M3WfFl4FnGlcKfJlrE87oBZtCxXnCV/wZCjOkLRpNl+Nz+UbY8ZjaZ3nl+3j+/9Y31R9hWOGrKMz6poal5bwaQ8d23cj2msOjIVvmRZprdJPM5sE8u4D6sO4HVLxtmdlldsefrZnHyZsmUi8cS+envKSLtfR/kBMGSZUDTe7SmgkFl+Go2Tmx9awe9f31aUfUXjRlVIf4pxT8pz17LMsY3loVtG3Uov7K0EgbPBtGWsK/0e6ip8NGfS3KNxoz6MeUJmE/BJLT9gGXerd2qZz01XHg07UjV36+Z2uCvCghOG8oXzJ9nH+PiKBhZvOpB+RxpNFjifLlMbWueDobm78JvXa9BRMMx6+tbG/RjHCpyWm1KJy8xb781zt7NNHLJMuc9NXYW/x1RIvztR/Csfz33GyBoABlf6AKM1YKElfyFRcbK5I4zf66K2zAj6doSi3PvSZv73teJ4XJpjk1W7Wuz32XQ66wmlFJF4PKkyqtWRLBKL28kRJc2WEZGAiCwTkXdEZJ2IfNdcXiciL4jIZvN1kGOb20Vki4hsEpGL8j46TVZYkkalI52x3O+hPZh7nnul38PgCl/GHPFQNJbkuWcXUE323D+3YBKPf2o+c8YYp0yZ15VV+YGGQ528uD5Rytcu+euYxATGhef3uB2B5RjN7WFdSExTECt3HrLftxZo3GNxhVLGU6xt3KNWwbBEckSpA6oh4Dyl1CxgNnCxiJwG3AYsUkpNAhaZnxGRqRi9VqcBFwP3iYg73Y41xcHy0J3pjIaB7jnPO6meu12Xxs3gSl+Pee4+jyuhm2eZCun03N0u4eSxdfbncp8nK8/9gde386k/r7A9dmcnJsAuQgZGCWDrZneoM0xbKGrXq9do8sHZdL5Qz93q9etxS6IyqtWBKRa3r8dsm9CnI5sG2Uop1W5+9Jr/FHAZ8KC5/EHgcvP9ZcAjSqmQUmobsAWYl/cRanrF0tydnvtxNQH2t/ZszJyeu10L3mdp7pmzZfwel52rnl2ee3LhsFQC3uw096b2EJGYojVoXFjxuNHhSVI8dzCMu/Vo22CWAG7uCNs3Bo0mV5w6e6HG3XKKvC4XgZQSHFGHcS95KqSIuEVkFXAAeEEptRQYppTaC2C+DjVXHwnscmzeYC7TlAgrW6bcUfxrWFWAfa3BHrdzVoUs97qp8Lmpr/IzuMJHeyiaNmhkB1Td2TekjsUVktm2mzVhepdlDnUaF5QlGcWUSrppVAe89nu/122nazYc6rSPQ1eK1ORL0OGAFG7cjWsvqRtZJGZ/ZzlqJQ+oKqViSqnZwChgnohM72H1dJdxN3dJRG4SkeUisryxsTGrg9WkJ53nPqwmwMH2ENEe7vxOWcbjdvHcF87iutPGUlfhB9LnuocsWcaToyzTg+deW+alJQujaxlm67hSZ77WljuMu8dlez+7mrvs5Vp31+RLKBKzr7HDnQXKMuZ143EnSnAEHU06KvrKuFsopVqAxRha+n4RGQ5gvlp5Zg3AaMdmo4A9afZ1v1JqrlJqbn19fe5HriEcjfPc2r20hyK4xJgMZDGs2o9S0NiDzpxaVXF0XTkBr9vOYkmnu9sTLwrIlkmlttxHazCa9kbk3L9l1K3jMmSZxH5ryhLG3ed22amRu0zPHdC6ez+mIxQt2GMuhFA0Tn2V4fgc7iqsEUwknvDcA55Uzz3eNwFVEakXkVrzfRlwPrAReAq43lzteuBJ8/1TwNUi4heR8cAkYFneR6jJyL2LNnPLn1by9Oq9VAW8tvYMiZmmPenusZSqihbWCbw/jawTjsbxe9x2QDUczT1bJhXL425Nye6554V3mfTNZ+0UtEMdyZ57ahOQqiRZxum5Zzbu8bhK+l5z9PLtJ9dy0x+XH7Hxg5EY5T43lX5P4QFVy3N3da+MGonGbYm11J77cOBlEVkNvIWhuT8N3AVcICKbgQvMzyil1gGPAuuB54BblVKFZ/xrurHnsCE37GjqpCqQXNVxmGnc9x3OrLvHHQFVJ6MGlQGJQKSTUMyaxJRLQLVnz31QufGk4NTD97R0ce+izQC8tPEAoWjMnpRlTbAyZJnEfpyG3kiFNC6aXY7fYTUBt/jR85t4349e7vH/SVMc3mts732lHtjR1MnOI3gjDkXjBLxuasq8xQuoehwB1XBCc/eZSQuFeO6e3lZQSq0GTkqzvAlYkGGbO4E78z4qTVb4HAVbnF4rJIz7gbbMRiu1B6lFfaUfv8dlByKdBMMx/FX+RCpklgHVnjT3GtNzb3HomM6LZ8WOZlo6x9ifm5yae8p+vW4hElP4PS7zCUMIR+NUBTwEI7FuMtVDS7YD0BqMcFxNoNffosmPf67Zy6f/vJLf/ftczp86LK99HOoMlzQgvnb3YbxuF1OOq0r7fTASw+9xUV3m5XBXYcdhPfF6XYmAaihqNMQ2SgFLt/Z7uaJnqPZjrIlEAFUp9dgHV/hwuySttGKR2qbOQkQYNagsKRBp0dwZpq7C55jElF0qZE+yjOW5O4Oq1sy80XVlvL2zhQMOeSkhy3R/IrC8IL8Zf7AebwdX+Kir8NnSjoX1NNBb7XtNYSx5rwlIjn/kyqGOMMFIPK8ic9nwrb+v5Y5nMhcFC0ZjpudeuCxj14Pye/C6BbdL6ArHbIfL6zaSFrRxP0bxJnnuycbd5RIqe5mlGssgy4ARXG1oSVyI6/e08sq7jRzqMIy7NfZtT6xh+8GOHo/TMMKZv7fKBDg9d+sCPmPCEDrDMd7a3gwYE5aae/DcrYlcfk9ixi3AoAofVQFvUo17Z7Gy3loSagrD+pvVVfjy2j4eV7ZBLZX3frA91KPRDkXiBLwuBpX7eGv7Ib77j3V5j9VmztWoLjNiZWVeo1y1nSLpcRHwuAuqYaONez/G43YGE7srbBU+d4/Fw2IqvSwDdPPcP3Dvv7j+98uIxlWS5w7w56U7ejzO1JTFVNJp7pZxH11XDsA28wYysrbMkS3T/cZke+7m8VnBqhOOq6bS76HNcbNbv6fVft9bkTVNYVjGXXqa8NADrcGIXW7iUEdpMmZaOiM9OkPBaAy/x81nzpsIwModhzKu2xvWbFfrug2Yxt3S2L1uF+U+d0FPlNq492OcdctTNXcwHvl6KqUbT6mq6GT0oHIOd0X49t/XdpvVWVfhozrg5bb3n0BNmZc3zEfunsbpSZapCnhwSbLnbskyg01Pz3qcn1Bfad8EYikBVUhUxLQ8dytQOmdMLVWBZOO+xxFEzWYSlSZ/LOMeylNScc65yGZORK6Eo3HaQ9FuGVtOLM992ogaLp52XF4NZixsz928bst8LoLhmC1z+tzGrHFt3I9RnNpjZRrPvdzv6bFhhyWXe9IY3hOGVwPw0Js7uhlv69H6lrMn8J9njmfdnta0wVd7nF6yZVwuoabMS0tXd899cKWRlmll7owdXG4XbUp307A8d6s8giXDnDx2EFUBT5Is43wE78ijnrwme6wgeD5VDpvaQ7y0MVGu+VCBE4jSYZ177aHM+zYCqsb5VWZ2/coX6yZiee4JWSbhuVfk2efAQhv3fozTuGeSZXo6OaxOTOm86rMmDeEnV80C4IX1ya3qBpszWAHOnzoMt0tY8JNXMuaLp7bZS8egcl/SRWs9lVgTqva2dBHwuhhc4acjHCMai3crPwAJzz2a8rQxfkhFtxiEs7JfZy9dqzSFYaWv5mPcP/XnldzxzAb7cyk0d+upMRiJZ0wSCEbjdqDeKFOdf7CzNRjB50iDtGSZSNQqKGbkv+dTCttCG/d+TFeSce8uy5T7evHceygLICLMHlMLwAuOMrsAdZWJoNiJw6v52UdnE4rGM2ZCpLbZS0dNuTclW8Y47iHmjaQjHKMq4KW6zLiJtQWjRkGylCcC6yZnaZdPf/ZMHvzEPESESn9yQLW1K2J7+NpzLx1d4Zitl+cTINzTkpy1VQpZxplFlU53V0oRjsbt2aRlXndBWTutXVGqHQ6Z1dMgobkbZbgLiQX1mueuOXpxVlKsTue5+909Gq1YmoCkE2uW657DwaRKkYNTMh7GD6kASNKzk8fpWZYx9ulPknasIk21FV5EjH6p1QGPrVG2BiPE0xQku+OK6QyvCXDmxCEATDcbgwC2LGPl3bcGI9SW+2gLRnQqZAlxFrAL5dFx64Tjqm1ZziWlkWWc+2wLRhmUco5bTxyWp13mM5q6K6XyChK3BSNJhe7KvG5auiJE45bmrj33YxpnI910skxvnruRSph5/xV+j33TOHV8ne1NWCd46tiZjHs0Fsfd00DAcTX+pJx8yysq87qpNHPVq8u8VJtpk61d0bSTo4ZWBfjuZdOT0kRTj9O64R3uilBT5rUba2tKg1NGyWfGpfPcPq46UCJZJrHPtjS6u3U+2llYXjexuMqqWU06WoPRpN9V5nUbAdVoIs9da+7HME5ZptKfJlumV829d496eI1RimDSsCqGVgXS5ilbkpCVAeBEKUUwGk9qJJKOYVUBDnVG7Mf2UDSOS4xgr1UjpirgtW82RmpczymWqVg579Zjt/VoXO4vLCtB0zPO2EY+nrtTyhlU4UvKqkrlj0u2M+07z+XcFD3Vc+9+DMmeeyCle1KutAUjtqMCiQBt2FGWoFBZRhv3fkxXLwHVcr+HznAsY4OK3gp6AfaU/ElDKxlZW2Znrzixxk6nVYZjcWJxZeebZ8Iul2DORA1GjNmAImLXiKkOeByee+7G3boJWbq79tz7Bmd6YT6aezASZ0iln3985kxqyrw9trj7zpPr6AjHcs5kcXru6c7jbp57SpneXGntiiRds4Fu2TJGKmQ4GrcnG+aK1tz7Mdlky4BxE6jwd/++tzrrAMNN4z5xaCXfvmSqrQk68bpdBLwu2tIYyGA42ePJxNBq46ZxoC3I6Lpyu0gTQKVplI2AakJz761mTSqVtnwUsfdxfH0FrcGo9txLiJVy6nO78sqWCUVjjB1czoxRNVQFPGw/mD5w75yq3xmOJTWv6Y1DaWSZUDTG/3tqHe8d6ODT504AHJp7SoONXGkLRrtp7sl57omS1Z3haNqEid7Qxr2P2NrYzksbD/Cf7zu+aPsMRmKcM6WeqcOrGWHKJ04sg94RjqY17tnIMhOHVlLp9zB+SEWPBroq4E0ry3Q5tPOesJ4Q9js9d9NLsjoqVZclYgCtXVFivdSsScWSZazHbstzb+4IZ4wXaArH8rTrq/x5GfegOXkI6JbxZPH8un3c/NAK+3NnKAaV2Y/R0hlhSKWPg+1h23PfuLeNh5cZTeUq3rDkmITmDvkb99Zgsude5nPRGYnZNyhnE49OM1MsV7Rx7yPe//N/EYrGue60sb16sdnSFY4xsb6Sr118QtrvLTmjMxSDNIXu0tVmSeXf54/jkpkjej3mqoAn7ew+6+TPRnOHRA15I6c40dcVjNl8lX5jNmtrMIJSPdesSXeMYMgySilaHbJMTwXWNIXR2hXB73FRFfDkNUM1FI3ZjViM86y7E/HKu8nd3HJNbW0LRhlRW8bB9rB9HlvjBLwuXt5k7N+axBSwnorzeOILR+MEI/Ekg10d8BKLKzueYCUvQP5F7bTm3kdYHkuxHv+VUnRFYj1q2dZjaaYTPRvP3edxZVUK1/Dc0xh38/f2dnOoLffic7vstLmQWV4VEnJKdcCDiFBt6q6xeK6ae8Jzbw8ZefLVAS/lfnePWUWawmg1g4d+jyuvbJmQw3O30llTA6ZDUgL9uV5nHeGoUTPJ7UqKyQBcP3+cvV4xPHfrCdfpuVuxLOv897ld9vWbb8aMNu59gPPuXkhqk5NwLE5c9Ww0LY83k+FK7WRUCFV+T8+yTC+eu4gwtNrP/sMJz93W3B3ZMmAY5NZgNKuAsBNntozlnVmee7H+LpruWPKX3+POK1vGKtgFhkFUqnuht7IUfT3Xv2d7yJAuKwOJ89gq7rXgxET9+VTNPZ+JTNaNxymVDjEnBlq1kKzCYZDf0wFk12ZvtIi8LCIbRGSdiHzeXF4nIi+IyGbzdZBjm9tFZIuIbBKRi/I6sgHE2j2H7feFTEpwYgUqe9Kyy01ZJpPn3lueey6kFuWyCGapuQOMqStne1OnvZ3luVsXgTU7tbrMY2fL9Pbk4aTC50FMScdqcFxdZqRC6qqQxePR5bt4YmWD/dlKOfV7XXlly4Qi8cRTnJny+6PnNvLm1kTNo1QPOtcnsY5QlEqfEdOxpBFLlpk+stpeLzVbJp8SBNZTvN9RWXWI6bnvNburWamQkH/F0mwu7SjwZaXUicBpwK0iMhW4DViklJoELDI/Y353NTANo5H2fSJSHJG5n7JxX5v9vpBiQ06s/NpsPPdMdVOykWWypSqQvna8dTPLxrhPHlbFu/vbiMdVcrZMWs/dKAGby5OHyyWMrC1j68EOmsxaJ4PKfVT4PISjmWuKaHLja4+t5kuPvmN/dsoy+QVUY/a5YEkZf1yyg7+/vdteJ7Uef1ckR889GKUy4GHkoDJ2m+UODpvlKZznbjGyZSyHx3nt2jWUbM9dHDeQEskySqm9SqmV5vs2YAMwErgMeNBc7UHgcvP9ZcAjSqmQUmobsAWYl9fRDRCaHK3diqW520bTl/lPmLjzZ9DcswioZkuv2TI9HKfFlOOq6AzH2N3SRSgSc2RIJAKqAEOr/Ow+1EUsTfmB3jjhuGo27Wuz65WMqC2zL6zGthD7Dgd1w+wiY8kyvjyNeyia8NydOrWzqmdnAZ57PK7oCBvpwmPqytlpPj22dhklAkSEsYONvgLWzOdAAcY9neduTQ60ZJnkVMg+CKiKyDiMfqpLgWFKqb1g3ACAoeZqI4Fdjs0azGWp+7pJRJaLyPLGxsbUr/sVb+88xOJNBzJ+76xFnY8ss2lfG1sOtCUtyybF0JIznF5NNBa3M0PiRfbcOxxtwuzjzDKgCti9Kzfua0sqrzrluCqGVPoZXmsEdk8YXs2ew0EOdYZzjhmccFwV2w52sL2pExEjBXNkrZFGuvlAO6f9YBHn3r045xmOmsxYRtKfR2chpYynOH+K5w4kZc1089xzuM6sG0Ol382YugqaOsK0h6Ic7krMIv2/T57Gly6YzDBzPkYhk5hCaTx3v8dNdcBjl0b2uPtGlgFARCqBx4EvKKVae1o1zbJuV4pS6n6l1Fyl1Nz6+vpsD+Oo5Ir73uCGB97K+L3TuOdzF77oZ69y/j2vJi3rSnOCpFJtNsFwjv/XFQ2c8+PFeU0C6gl79mcw9fHYSoXsPet20lAjMfnd/W2mLGOcnqcdP5jl3zrf9txPNGvN72jqzPnmNOW4KmJxxavvNjKsKoDX7WLUIMO4f+vvawCjXPDa3T2d4ppsUUrRGoyaAVVXzgHVVC/XmT6Y5LmHY0yor+AfnzkTyPy0GozE+O9/bmB3SxePvrULpZR9zlqeO8Cu5k5ag1HbuI+sLeNzCybZRcKsORjF8twhobtDH8kyACLixTDsf1ZKPWEu3i8iw83vhwOW69oAjHZsPgrYk9fRDRCaO8L2HT/1ZHhy1W62NrbnvM9stGyP28Ww6kBSx6H3DrTTFYnx7r42OsLRXvPPs8Xqg9rokKAg+0lMYFy4k4dV8uSq3bSHohlvXCcOTyTt51qR7wTz6WDdnlZGmE8CI2utC7qLKcOq8LiEp1cf06dsUQhGYvbTXHWZJ69USOtmkBp/ge7GvabMy4xRNQS8roxO1OJNB7j/1a2ccddLfO3x1Ww50G6nPlb6Pbb8sqOp03ziSO+UeNwufG5X0TR3SOjuAF5XIhUy3zTdbLJlBPhfYINS6h7HV08B15vvrweedCy/WkT8IjIemAQsy+vo+gFNKcYsHc0dYfvR33kXjscVn39kFef95JWsxnJKHlYtlHQzT50Mrwkk1cPe32Yc78Z9bTS2hZK8hUKYOcoorZvaV9K6CaV6KZn48oVTeHd/O23BaMZthlYF7NSx3urEpzJ+SIV9wY4w/yZlPrc9SebMSUM494Sh/GX5Ll1vpkAOd0XYvN+QE0fWluP35p4Kack4aTX3Tqdxj9rGsKfUVn+KQe0Ix+y/c6XfY/fs3dXcaU9yy0TA68pLZs3kuVtNcDwuweUS3C6hrsLHgbbebUw6srk0zgA+DpwnIqvMfx8A7gIuEJHNwAXmZ5RS64BHgfXAc8CtSqkBm2f27v6E1+0s0LVqV4t9h27uCDNykHHSOD2KbEqXOrXfdIHZ3oz7iNqyZONu6u3v7m/jYHuYIVXFMe4Th1YyuMKXlJ4GVqaDK+vA7YVTh9myS0+S06xRtUDuefoet4uzpxjhIatevXWcADNG1vCpcybQ0hnh4WU7c9q3JtkBae2KsHRbMwDzxteZ2TKxnOIZwRTPvcIh77WFovY1Z9SSSbTAy5Qhlrr8cFckyVGqKfNSU+ZlR3OHneWTiTJffg07Mnnu9ea16Gx8P3ZwOTuaOnIeA7LLlnlNKSVKqZlKqdnmv38qpZqUUguUUpPM12bHNncqpSYopaYopZ7N68j6CZsdgU5L59t3OMgV973OX5cbmt6hzrAtATiN+8H2hHHP9ATgXN8pr1iPkhW9yCoja8vYczhoXwSWcV+3p5VDnWHqi+S5iwinHl/Hm1ubki7erkgsK0nGuZ8PTD8OMLJXMmFNLNm8P3dJ62Szw5QzUGV5U9NHVjNnzCCmDKvqtfF3Niilija34WhDKcWGvcmxCaexO9wV4c2tTUwcWkl9lR+/x0VcdW+BmMqOpg7G3fYMb25t6ua5O50EpRJ1gpzGvcLnyai5py4/3BWxC95Zko9hUDvtLJ9MWJUccyWT5z6h3mh6E3Q83YwbXMGOpvyyt/QM1QLZciBhXCxtbO3uwygF25s6aQtFicQU9ZV+Al5X0snvNOhv72xJu3+nrrjX4YFbj53ZeO7haJymjjBKKdu4v7OrBaUomucOcN4Jw9hzOMijyxPJUl3h3Iw7wCWzRgAJTyYd559oeN+bD+Ru3D88dzQXTzuOT75vvL3s32YOB2D8ECOoe3x9Bdvz9JgsgpEYl/3qdebd+WJBLdmORlbsaObXr7zH+3/+L1Y4pDjn72zpjLB8+yFOHV8HGKUsoPc+qqt2tQDw+9e2daujnop1fXSGo5Sb10JP9flTs2qcnrtl3EfXlbN5fzuRmEqq3JhKdcBrl6jOhVCGOSqTj+teAGrs4HL2HO7K6/zRxr1AnJKH1Tnd8mb2tHTRbHrndRU+yrzJJ50z+Lhpf3Kqo0WScXd47taNpDfDaenKe1q6aA1GCUbijBpUZntP9ZXdm2/ky5UnjeT0CYP59pPreGb1XsDw3AM5Bm3HD6ngpS+fzWfOm5hxnaHVAa48aSQ//NCMnI+z0u/hNx8/mePrE2UD7/nILFZ863xb5hk7uIJdzZ1519IGeHr1XlY3HKYtFC34RnE0sfdwFx/69RJ+9NwmICXV12GEGg510h6K2m0YrdTW3oqHecxp03sPB7vVUQf46kVTuGy24QAkjHuMcvNaKPdlNu7W09qa/3chYEhHqfGrsXXldo2XuorMxn3+hMEs39Gcdn5HT1ieearnPmVYd+M+bnAFSpHUgjJbtHEvkL1JUolx4mzYlzDuVt7qoAof5T5PRlnGeYE4STbuiRtJR8jIdOlNy7bkoN0tXRwwT9izJidST3vyjnPF5RJ+9bE5zBhZwxcfXcXv/rWV59buyysj5/j6StsYZOKej87mo6eMyfdwk/B73EmNSMYNLicSU92aM+eCs9LktsaBY9yb2pPPVec56vQwrVIS1gQdy5j1ljHT0mXsf09LV1rP/dZzJ/Kxecbf/drfvcmahsOGcbc89x6ar3SEonjdQlXASM083BWxr1vLc7fSIQFOGjMo7X4AFpwwlEhM8a/NB3v8PamEojHcLsGTkg2QrhGOlb2TqYZ9T2jjXiD7DgeZaOZnW/my6/eYxv1w0O6qPrjCZ7bSSpx0Te0hPC5hRE3mvpAZPfdw+gYcqYwfUoHHJazZfdiulX7WpCH298XKlrEYVOHj3mtOAuCOZzYQjaucZZmjgbGDDW8zX70Tkrv7bD04cIx7aick5+906sXbzN9sNZv2m/MWesuYsc75Jked/VQvt6bcatoS5aE3twOJGdnlvsxauLOJR02Zl8OdEdpDEVySqPjoNO4THU93qZw8dhC15V5e3LC/x9+TSjASt/Pke+P4IZWIJKSqXNDGvQBC0RhNHWF78k17KEI4GmdHcyd+j4vGthB7Te9tULmv2+PiwfYQgyt91FX67JtAKla618jasqQAY0co2mswFQwvZsaoGpZta7algWkjamyjXmzjbh3r9y6dZntCPQVGj1bGDTE9pgLklEOdEYbXBBhW7WfbQSP7ItPfuT9hVdR85nNn4nZJkmPSleS5G/93deWGcS/zGudDcy9ZYk6HZp1ZdM+6MVg4A50vbTSm2CSMe2bPvd1x3dSUeU3NPUal32PPmRgzOGHce3oy9rhdnDtlKC9vPJCTfBeKxrqlZFo8evN8fnPdHPtzTbmXc6cM5ZG3duY8u1cb9wKwgim25x6KcbA9hFIwbYSRzmd58YMrfUZ0PUWWGVLpZ1C5L6lBrxPrRJ8wtDJJo3fm9fbGqeMHs7qhhYXr9zOiJsCoQWVMOa6Scp87K+8/H66eN4a/33oGkHg8708MqwpQ5nUnBQtzpaUzQm25j/FDKtja2M6XH32Hk77/Arf+eSX/2nxkS26s2tXCxn35zcK1pv3XlHmpLfMmnbtOWWZHiixzyrhBuAQWb8xcqgOSnwwWbTDWDaRIdM5ApyVvWtfD6Dqj6cbBNBlozsCrZdwPdYaTUh6H15Qxuq6Mu67sPZ5z/onDONQZYeXO7M+Tnjz3eePruHj68KRlN5w+joPtYTuOlS3auBeAJZMkZJmI7aXOHm1odev2HCbgNWabpT4uNrWHGGwb98yyjEtg/ODyFM89ljRbrydOPb6OSMyYcn/2lKGICJfNGskHZ47I/UfngJXaNXt0bUnHKQUul3DtqWP4+6rdtveYKy2dYQaVezm+vpL3Gjt4Yb3x+P7Mmr3c/+rWYh5uTjz1zh4u/9XrXHP/m3ltbxnfqoCX2nJvkixjOS8+h/GyZJnBlX7mjqvj+XU9yxiHuyJMHFrJ5GGVrDeTE1I993Kfm1vPncB3L52WtAxg/vGDAbrNuQDjuqlIMe7bDnbYQV8w5k7862vncfW83uM5Z00egs/t4qElO1i7+zA3P7TcLv6VCWetnGx436QhTBxayQOvb89pjoA27gVgBTgt494RjtkGeNZoY8bmxr1t9mNpqixjzBD1UVfRgyxjFi8aWh2gLRi1PaOOcNSu194bZ04cwuRhxjGeO8UIpn7klNH88MMzc/q9uSIirPjW+fz5P08t6Til4rMLJlFb5uX7T6/Pq5DYoc4wteVeTh4zyH4C++8rZnDVyaNYv6e1z4qTRVMCmH81U1UPdUbyqoDZGowiYjRoGVTu41CHw3M3A6BWmQejumHiPL142nFs2t+9EJ6Tlk4jv/ycKUPtZameu4jw1YtO4OOnjbWXWRUbZ4ysodLvYUmaeQodaWSZrY0dHO8w7rlQFfByyzkTeOqdPVzyi9d4ft1+nly1u8dtnL0KskFEuP70cazZfZhXcwjeauNeAFY2xJi6cnxuF23BqC2dzDRnUIZjceoqE5qj5dlEY3H2t4UYUVNGbbnRWch5Ecbjig6zMl1NmdfOarFuHsZJmp3n7nW7eOLTZ/DLj53E+Y6uMn3B4Ep/yaSfUlNT5uVLF0zmza3NPJ3mkfiPS7bziT+8xTsZgl2WLPO+yYkA9sxRNUwfWUNTR9hOtysla3cfZuI3n+WpdxK1cva3Bu04UU/VTDPR2hUxetm6hNqUp06rSqKV1lfhdyfV/7lk1nDcLuGvKxpYt+cwr7zbyJOrdif1QLXO+Y+fNpYTh1czeVil3WoxFZdL+MtNpzGs2m/fUDxuF6cdX8eza/d1m93Z4QioVpd52d3SRXsompQWmyufOXci/z5/LDeeOZ5Kv4fXe5n8lqvnDnDVyaM4fkgFtz++OuvUS23cC6CxLUTA66Iq4KUyYARxLB1+ZG2ZXf9kkBVQ8rnsyUf7WoPE4oqRg8psTbLFoTXe9dxGzv7xy2w+0M6ImrKEcW+3jHvMboCdDZV+D5fMHFG0+u3HCtfMG8Os0bV8829r2O7IeFFK8cuXtvDSxgPc+n8rk0pPWN+3dEUYVO5laFWAE4dX43O7mDysyo7HrOuDypNrdhuS0uceftvWoA+0hTj1+DrG1JXnnMYHZvMNU/MeVO61OxdBIqBqlW9OLXo1tCrAuVPqeXxFAzf9cQU3/XE5n39kFdf/PlF+yjLuo+vKefbz72PhF8+2vfJ0nHr8YJZ+43y7LgzAbe8/gbhS3PzQiiSnqTMcta8bZ1B2QgHG3edx8b3LpvPtS6byoTkjeWtbM+EeJmoFI7Gss2UsAl43P75qFnsOB3ng9e1ZbaONewE0d0RsyaXC76Y9FKWxPcigcqMxgTWBaLBpvIfXlHGo02jxtvuQIemMrC2j1tyHJc1sP9jB71/bxsH2MBv2tjJ7TK1dJsD23HMIqGryx+N28YurT8LtEq757Zt24GzLgXbDSI6vo+FQF29uS/bW2kJGj9faMuNv+6lzJnDz2cfj87g4cXg1IrBo435e3nSgoFz63nDqv8+u2UswEqOlM8KwqgBzxtTaxj8XWrsSpXAHVaR47qZxP+E44waWLqf9s+dNSjRlcRhBS7vvbdp/NkwcWsUPrpjBxn1tPPJWYsZ0h9krFRLF7sCYkVwM3jepnq5IrMcnonw8dzBSLy+YOozf/mtrxnkxTrRxL4CWzrBtmCv9XkOWaQvZXvaIGsO415nV3qzA4jsNLXYrr5GDyuwbhPUH+9HzG5OKB80eXctQc58H2kIopegM5+a5a/JnzOBy/vyfpyHAh379Bt/9xzr+vNQoKnbXh2ZSFfDwk4XvJsVNWkwdutbMx7501gi+fOEUwJgJefUpY3h42S7+44G3eN+PXub5dfsAiq7D7z3cxdAqPxOHVvLMmr22czCsOsCMUbXsPRzkQFtu8pDhuRsGsrbcSygat+VGy3OffFxmT3jW6Fr+est8fnHNSVwyc7i9r2XbmonFFW2OOuqFcPH045h//GDuenaj3V2pIxSzNfcFJw5j3vg6fG5XUhG5QjhnSj0ja8v43WvbMq4TysNzt/jaRVPoCse485kNva47oI17LK7siRSl4FBnmEHm9OSaMg8H20McaAsxtMo4UazOQdYU5pmjauwJCU7P3drHoc4Iq3a18M81+7j5rAm2LnrS6FoGV/pxieG5h6JxYnHVb7Xs/sjUEdU8/8WzuPbUMfzhje384Y3tfGDGcYwfUsGdV8xgdUMLZ/34ZX76wrts2NvKz158F0hIcql8/7JpfOMDJ3DftXOYNqKarz22mnsWbuL8e14pai78npYgI2rL+MCM4Szd1mxn/gyt9tue69ocvXen8bUcE2u/wUgcn9tlP2nOcnjHTqaNqOGDs0bwy4/N4a1vnY/f4+LJVXvswHNtEYy7iPDjq2YiAh/5nyW8s6uFrkgs6Yn3kU+exlvfOr9ocqXH7eI/zhjHsm3NLMowuSlfzx1g0rAqbj77eB5f2cCza3pOjRzQxv1Tf1rBuXcvTkrVWt3QkqSdFoIVMAMj9XHt7sPsaOq0PXerhrvluVcFvEysr+T1LQfZfKCdIWbu+4iaMjwu4Z9r9vI/r7xHTZmXm846noumHcfU4dUMrQ7gdompkTY6KkJq496XVAW83HH5DF744tk8+Il5/OpjxmSTS2eN4KnPnMnpEwbz80Wbef/P/8UTZvPmQRlqk3jcLm46awIfmDGcn199EiJw70tbeK+xg1+9vIW3tjdn9ejdG3tauhhZW8YlM4ejFDz4xg7A0L6nDq/GJfDquwf5xt/W8HaWudqtXRG7rvp5JwxlZG0ZNz64nPca2+0SzyLCq189l4eyyJTye9zccvYEnlmzl0/9aQVg9CEoBqMGlfPITafhdgnXP2Do+s4nXpdLCpaAUvn4/LGccFwVX398TVJhQYtCPHeAzy+YzKzRtXz+kVU9rjdgjfvuli4WmnnF1iSaaCzOpb98nQt/+mpPm2bNITOPGeCMiYOJxhXNHWE7YDbCNu6Jk+eCqcNYuq2Zp97ZY7cMG1Th47PnTeKpd/bw7Np9XDNvDBV+D1++cDLPfO5Me9ubzprA2ztbuOPp9QB51WzRFM7EoZWcPbk+KQvkxOHV/M/H5/Lil87mu5dO4zfXncwNp49j2oj0nquT8UMq+NONp3L1KaOZO3YQv3ttG1f9Zgnn3r2Yv73dkLORD5syiVKK3S1djKgNMHlYFROHVrLEzP0eVm1kMZ13wlD+8MZ2/m/pTm58cDlL3mvi6dV7ugWInTgDqkOrAzxy02l4XMInH1zO/tag3R5uzODyHqsqOvnC+ZO44fRxLN3WzJwxtVwwtXhZXdNG1HDvNSfZgd+yEjtFfo/bLMGh+Mj/LGF1Q0vS98FovFvefi74PC7+9/q5diXTTPT6K0Xk98AlwAGl1HRzWR3wF2AcsB34iFLqkPnd7cCNQAz4nFLq+bx/hYNILM6iDfupKfMxf8LgXtf/pyN1bUdTB7NH17LMbByQa6uvdMTjisNdEfuxe+7YOvu7j5xidBmcPbqWCfUVSRf4Vy6cwvsm1fOLlzZzxsREityt507A73Xx5tYmPnHmOKB7C7mr5o7i2bV7+fuqPbhdUrQgkKZ4TBxaac97uNisS58N00fWcNeHZrLlQBvPrtnHCcOrueOZ9XzxL+8wrNrPh+aMYuqIahacMMw2nukIR+Oc8+OX2XM4yEXThhGKxm0n48o5I+1KjtZ5+99XzGDT/jc4a1I9z6/bxzW/NSY2/eIa+OCs7pPc4nFFeyhZEx9dV85vPn4yH/vtm2w92JHULSlbRITvXDKVGSNrOHPSkG5FtQrl5LGD+NXH5vDNv69h8tD8M2OyZfKwKv56y+lc97ulfPjXS7jl7OP59LkTCXjdpudemGM2pNLPTz86m59dnXmdbP4KfwB+CfzRsew2YJFS6i4Ruc38/HURmQpcDUwDRgAvisjkYnRi+sc7e/jSo+8A8NRnzrDzyDOxbHszx1UH2NcatCdqPGcGrQAOtAVtbTxXorE47aEocYUty5T5jEfLkbUB21sZUVvGoi+fk7StyyXMnzC42w3K43Zxy9kTuOXsCRnH9bpdPHTjqexq7qSm3Ju1V6TpP0wcWsVnFxhphO+bNISVOw5x2xNr+PUr76GU8bR25kSjFeCls0bg87jYdrCDJ1ftZtSgcmrKvOw5HOSE46rsmaDjzCJoN73veFbtbKGlM2JrzEOrA7z61XMRET5//iT+b+lOfvbiZn732jYumTm8m4Oxo7kTpbB7AlucMq6On3xkNp97+O2sZ06n4nIJHzp5VF7bZsO/zRzeq7dbTMYPqeDJz5zBnc9s4N6XtvDHN3dwyczhdEViBXnu2dLrX0Ep9aqIjEtZfBlwjvn+QWAx8HVz+SNKqRCwTUS2APOAJYUe6OJNxiSHgNfFn9/cycwP12ZcNx5XvLW9mQunDmPxpkZ2msZ98aZGqgIe2oJR1u1pZeiU3I37c2v3csufVvLbf58LYMsyYOTW9gXOfF7NwCXgdXP6xCEs/so5KGDptiaeWb2XxZsaWbh+P7c/scZeV8ToTARG+8BnPvc+tja209ge4tTxhiPhcbu4/9/ndsvIsQz40KoAXzh/MvVVfr75t7V85uG3+a8PTrWdoH2Hg7yw3nCQTp8whFQunTWCqcOrB1xjkkKwPOxr5o3hT2/u4LEVDcQVtiRbSvIVn4YppfYCKKX2iog1T3gk4CxY0WAuK4h4XPHaloNcedJIfGZU/Rv/dmLGQMiWxnZaOiOcMq6OrY0d7GjqZHdLFzubO/ni+ZP56Yvvsn5PK+c6pjdnQygas4MYT6xsADJnQ2g0xcLysk+fMITTJwxBKcXKnS28sukAiBDwurj6lDH85a1dLFy/j4/OHY3bJUwaVsWkNA0gUr3xVD42bwyHuyLcs/BdXt54gFvOnsCF04Zx1a+X0BaKMqTSx7jB6R2MiX0gefRH5o2vY974OtqCEd54r4nTxvcuLRdKsSML6c6atJEZEbkJuAlgzJj0BXpeebeRE4dXsbOpk+aOMGdNrmdCfSWPvLWLv61s4IYzxqfdbpmjKe+SrU28+V4TS81A0gVTh/H8un08sbKBm886Pidt7+2dLfaki0VmZbvaci2NaPoWEeHksYM4eWxyI4lPnTOBT52TWdbLZf+fPmci758+nB89t5F7XniXe154167LP3t0ba83CE16qgJeLpqWfSymEPI17vtFZLjptQ8HrOlYDcBox3qjgD3dtgaUUvcD9wPMnTu32w1gT0sXNzywjA/MGI5SiuqAh/OnDqPS72HWqBp+99o25k8YYk9zdrJsWzPDqv2MqStn6vBqnli5m1+9vIWaMi8nHFfF5xZM4pY/reCJt3fzkbmju21v8eq7jZT73MwdZwRLt5rddE4dX2d3ddeeu2agMn5IBb++7mRW7jzEm1ubOHPiEA51RuwaLpqjm3xV/aeA68331wNPOpZfLSJ+ERkPTAKWpdm+V55evQel4JnVe/nnmn1ce9pYO1Dz9fefQEcoyod/80a3qdtKGXr7KePqEBE753TrwQ6+cuFkXC7homnDmDWqhp+/uDljAfyOUJRb/28lX3tsta1RbjvYjt/j4so5CaWpmA2mNZqjkTljBvHpcyYyc1QtZ0+uZ1iRZnNqSkuvxl1EHsYIiE4RkQYRuRG4C7hARDYDF5ifUUqtAx4F1gPPAbfmkykTjyueWLmb0XVGCteJw6uTskhOnzCEv996BrG44sO/foOH3txhf7f5QDt7DweZZ3Zc93vc/Pk/T+WpW8/k4/PHWb+Jr150ArtbunhoSWJbJ39ftZu2YJStBzvYsNcoT7q10aj7fOWcUTz4iXks+vLZeWcGaDQaTSnJJlvmmgxfLciw/p3AnbkcRFckxif/uJy2YITBlX78bhcb97Vxz0dmcdrxg6mv8nerCjd2cAX3f3wuP3vxXb7997Us2rCfD80ZxQOvb6M64EnKMR5c6e/WfPaMiYM5e3I9P39xM++fMdyeTWrx6PIGxg0uZ9ehLv6+ajdTR1Sz9WAHJw6vwut2cbajybRGo9EcbRwVM1R3NXfy1najaNDqhhaeeHs3Z0+u54qTRjKitixjuc8zJw3hkZtO4z/PHM/m/e189uG3WbWrhTuvmNFrDruI8J0PTiWmFB/4+b/sBrTBSIy1uw/zzq4Wrpo7mg/MGM6Db2xn475WdjZ3JnVs0Wg0mqMV6atuMD3hHz5J/X3hq7x/hjHBoD0Uxe9x9VjDOZVwNM5f3trJSWMGMX1k71O+LbY2tnPDA2/R3BFmTF05ew532dOUX/zSWZT7PJx/zyt2B6UH/uOUnFMoNRqNphSIyAql1Ny03x0Nxn3kpOmq4d01Ryy9akdTBz97cTNtwQhVAS+7D3URU4rHP3U6YNwA/rlmL7NHD+LMSd0nb2g0Gs2R4Kg37nPnzlXLly8/0oeRhFJK5/JqNJqjmp6M+1GhuR+NaMOu0Wj6M9q4azQazQBEG3eNRqMZgGjjrtFoNAMQbdw1Go1mAKKNu0aj0QxAtHHXaDSaAYg27hqNRjMAOSomMYlIG7ApzVc1wOEclueyzRDgYJ7j5DK+NU4xjjmb75y/q9Bxshk/dbxS/87e/j+LPX6m/89S/c5s/z+LOf4QINIH4wCMAXYWaV99ca3ns02m31iK8Y9TSqUvsK+UOuL/gOUZlt+fy/JctnGOmes4uYxvjVOMY85ym7T/l6X6nanjlfp39vb/WYLxczo3++r/s5jjA8v78P+zsVTnRm/nTB/+f6b9jaUYv6fr/WiXZf6R4/K+2uZIj9/bd8Ua52j+nX01fq77ynecI/07+2qbliM8fl9s03KExweOHllmucpQH6G/j9nXv02Pp8c7mscc6L+vr8fraayjxXO/fwCP2de/TY+nxzuaxxzov6+vx8s41lHhuWs0Go2muBwtnrtGo9Foiog27hqNRjMA6VPjLiLtfThWTERWOf6N62HdxSKScwBERJSIPOT47BGRRhF5Os/DzmXsK8zxTyjR/o/YbzPH67NzJdsx8z1P0uynpH+7NON9U0TWichq81o4tcTjjRKRJ0Vks4i8JyI/FxFfD+t/QUTK8xxLichPHJ+/IiL/L599ZTmeZVfWicg7IvIlETkqneSj8qCKRJdSarbj3/YSjNEBTBeRMvPzBcDuXHYgIp48x74GeA24Osfx3FmuWvBv02Qkr79dPojIfOASYI5SaiZwPrCrhOMJ8ATwd6XUJGAyUAnc2cNmXwDyMu5ACLhSRPqq/6VlV6ZhXBMfAP6rj8bOiT437iJSKSKLRGSliKwRkcvM5eNEZIOI/Na8Ky50GJZijX2yiLwiIitE5HkRGe74+joReUNE1orIvBx2+yzwb+b7a4CHHePNM/f5tvk6xVx+g4j8VUT+ASzM43dUAmcAN2IaCBE5R0ReFZG/ich6EfmN5VGISLuIfE9ElgLzS/zb/iUisx3rvS4iM3P9jY7f9LTj8y9F5Abz/XYR+a7jPCqKF9zTmEXaf6a/Xabf+QER2Sgir4nIvXk8OQ0HDiqlQgBKqYNKqT2ZrgXz6eRneV4LAOcBQaXUA+Z4MeCLwCdEpEJE7jb/XqtF5LMi8jlgBPCyiLyc41gAUYyMkS+mfiEiY01bs9p8HSMiNea5Y10b5SKyS0S8uQ6slDoA3AR8RgzcIvJjEXnLHPNmx7F8zfzd74jIXXn8zpw5Ep57ELhCKTUHOBf4iXm3B5gE/Mq8K7YAHypgnDJJSDJ/M/94vwA+rJQ6Gfg9yd5EhVLqdODT5nfZ8ghwtYgEgJnAUsd3G4GzlFInAd8B/tvx3XzgeqXUeTn/MrgceE4p9S7QLCJzzOXzgC8DM4AJwJXm8gpgrVLqVKXUazmMk89v+x1wA4CITAb8SqnVuf28rDlonke/Br5SojGKzeWk/9t1w/x//x/g/UqpM4H6PMZbCIwWkXdF5D4RObuE1wLANGCFc4FSqhVjOv5/AuOBk8yniD8rpe4F9gDnKqXOzeP3AfwKuFZEalKW/xL4ozUWcK9S6jDwDnC2uc4HgeeVUpF8BlZKbcWwo0MxbtiHlVKnAKcAnxSR8SLyfoy/+6lKqVnAj/IZK1fylQQKQYD/FpGzgDgwEhhmfrdNKbXKfL8CGFfAOF1Kqdn2oCLTgenAC+a9xA3sdaz/MIBS6lURqRaRWqVUS2+DKKVWi6HnXwP8M+XrGuBBEZkEKMDpHbyglGrO9UeZXAP8zHz/iPn5GWCZebIhIg8DZwKPATHg8VwHyfO3/RX4toh8FfgE8Idcx82BJ8zXFSRuZEc7mf526TgB2KqU2mZ+fhjDU8wapVS7iJwMvA/DmfoLcAcluBZMBON8SLf8LOA3Sqmouf98z/8klFKtIvJH4HNAl+Or+STOi4dIGNW/AB8FXsZ4erqvwEOwnNMLgZki8mHzcw2Gw3o+8IBSqtM83qL87t44Esb9WgwP5GSlVEREtgMB87uQY70YUExZRoB1SqlMskTqCZnLBICngLuBc4DBjuXfB15WSl1hGsnFju86cti/jYgMxnj0nS4iCuPCVBjGN9NvCJqPx/mQ029TSnWKyAvAZcBHgEICkFGSny4DKd9b50uM4p3LvY2ZNz387Z7KMGZRurSbf/vFwGIRWQPcSumuhXWkPHGLSDUwGtia475y4WfASuCBHtaxxn4K+IGI1AEnAy/lO6iIHI9x/h3A+Ht9Vin1fMo6F1O6352RIyHL1AAHTMN+LjC2j8bdBNSLEWBCRLwiMs3x/UfN5WdiPFplqtCWjt8D31NKrUlZXkMiCHlDXkfdnQ9jPGqOVUqNU0qNBrZheOnzzMdAF8bvyUWCyUQ+v+13wL3AWwV6KTuAqSLiNx+5FxSwr6NhzEx/OzKMuRE4XhKZXh/NdUARmWI+XVnMBjZQumthEVAuIv9u7sMN/ATjCW4hcIuYSQSmcQVoA9JXNswS8zx7FEMasXiDRND6WszrQSnVDiwDfg48na/jIyL1wG+AXypjNujzwKcs/V5EJotIBcbv/oSYGUGO311S+sxzN/+gIQzt6x8ishxYhXEClxylVNh8XLrXvIA8GHf7deYqh0TkDaAaQ07IZd8NGCdKKj/CkC6+RAHeQQrXAKkBmceBTwFLzO9mAK8Cfyt0sHx+m1JqhYi00rMXlRHrXFFK7RKRR4HVwGbg7Xz2dxSNmelv9zEMw5Q0plKqS0Q+DTwnIgcxDFKuVAK/EJFajKeSLRjSzv2U5lpQInIFcJ+IfBvDgfwn8A0MD3cysFpEIsBvMXTx+4FnRWRvAbo7GDeRzzg+fw74vSkRNgL/4fjuLxgS4jk5jlEmIqswZMgohtxzj/nd7zCk5JVmHLERuFwp9ZwYSQbLRSRM4v+jpPRZ+QERmQX8VimVa/RdkwUicg7wFaXUJUf4UBCRERgywAlKqXge2/f5uXK0np8iUmnq5oIRONyslPppCcdbjHEeLS/VGJq+oU9kGRG5BSNI862+GE9z5DAfx5cC38zTsPf5uXKUn5+fND3FdRhS2P8c2cPR9Bd04TCNRqMZgJTEcxeR0SLyshiTktaJyOfN5XUi8oIY05JfEJFBjm1uF5EtIrJJRC4yl5WLyDNiTOJYJ32U/K/RaDT9nZJ47mLMdhuulFopIlUYeciXY2RVNCul7hKR24BBSqmvi8hUjMfieRiz1V7ECLz4MRL/XxajNsUi4L+VUs8W/aA1Go1mAFESz10ptVcptdJ834aRejUSI/f5QXO1BzEMPubyR5RSIXPCxhZgnlKqUyn1srmfMEYe66hSHLNGo9EMJEoeUDVzdE/CCLINU0rtBeMGgDFlFwzD7yxm1GAuc+6nFmOq8KLSHrFGo9H0f0pq3MUokvQ48AWzvkTGVdMss/UiMwf5YYzaEFuLe5QajUYz8CiZcTdnaT2OURzIqgGyXxLV54ZjTNkFw1Mf7dh8FEYxIYv7MfJ7f1aq49VoNJqBRKmyZQT4X2CDUuoex1dPAdeb768HnnQsv9qcfj0eo9jOMnNfd2Dk936hFMeq0Wg0A5FSZcucCfwLWINR+RGM6bZLMaZZj8EoAXqVVXtERL6JMdU5iiHjPCsiozC0+I0kikT9Uin1u6IftEaj0Qwg9CQmjUajGYAM5DZ7Go1Gc8yijbtGo9EMQLRx12g0mgGINu4ajUYzANHGXaPRaAYg2rhrjklEpNbscoSIjBCRx470MWk0xUSnQmqOScyaR08rpaYf6WPRaEpBn/VQ1WiOMu4CJphdjjYDJyqlpovIDRjVSt3AdIy+nD7g4xgT6T6glGoWkQkYbe/qgU7gk0qpPukHrNFkg5ZlNMcqtwHvKaVmA19N+W46RtPqecCdQKdS6iSMBuT/bq5zP/BZpdTJwFeA+/rioDWabNGeu0bTnZfNPgRtInIY+Ie5fA0w06x2ejrwV6OMEmA0ltFojhq0cddouhNyvI87PscxrhkX0GJ6/RrNUYmWZTTHKm1AVT4bmr0JtonIVWBUQRWRWcU8OI2mULRx1xyTKKWagNdFZC3w4zx2cS1wo4i8A6zDaBWp0Rw16FRIjUajGYBoz12j0WgGINq4azQazQBEG3eNRqMZgGjjrtFoNAMQbdw1Go1mAKKNu0aj0QxAtHHXaDSaAYg27hqNRjMA+f/uU/T/aDjOSwAAAABJRU5ErkJggg==\n", - "text/plain": [ - "
    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "timeseries.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "22487f7d", - "metadata": {}, - "source": [ - "## Running the irrigation experiment\n", - "\n", - "Before we initialize the experiment, let's use the reference model to illustrate the concept of what we will do.\n", - "\n", - "We will fetch the soil moisture field and overwrite a part of it so that the soil will be fully saturated." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "05ea5223", - "metadata": {}, - "outputs": [], - "source": [ - "soil_moisture = reference.get_value_as_xarray(\"upper_soil_saturation_degree\")\n", - "\n", - "# Copy the field and manually overwrite a random part of the domain\n", - "irrigated_soil_moisture = soil_moisture.copy()\n", - "irrigated_soil_moisture[31:41, 18:28] = 1" - ] - }, - { - "cell_type": "markdown", - "id": "7281cd17", - "metadata": {}, - "source": [ - "Let's visualize the difference" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "e36689d1", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure(figsize=(10, 5), dpi=120)\n", - "left_axes = fig.add_subplot(121, projection=crs.PlateCarree())\n", - "right_axes = fig.add_subplot(122, projection=crs.PlateCarree())\n", - "\n", - "soil_moisture.plot(ax=left_axes, cmap=\"GnBu\", vmin=0.3, vmax=1)\n", - "irrigated_soil_moisture.plot(ax=right_axes, cmap=\"GnBu\", vmin=0.3, vmax=1)\n", - "\n", - "# Decoration\n", - "left_axes.set_title(\"Reference\")\n", - "right_axes.set_title(\"Irrigated patch\")\n", - "\n", - "for axes in [left_axes, right_axes]:\n", - " axes.add_feature(cfeature.OCEAN, zorder=2)\n", - " axes.add_feature(cfeature.RIVERS, zorder=2, color=\"k\")\n", - " axes.coastlines(zorder=3)" - ] - }, - { - "cell_type": "markdown", - "id": "c5814a7e", - "metadata": {}, - "source": [ - "From here on we will do exactly the same as before, except that we'll add three extra lines to overwrite soil moisture at every time step." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "8af4b144", - "metadata": {}, - "outputs": [], - "source": [ - "experiment = ewatercycle.models.PCRGlobWB(\n", - " version=\"setters\", parameter_set=merrimack_parameterset\n", - ")\n", - "experiment_config, experiment_dir = experiment.setup()" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "de154f1c", - "metadata": {}, - "outputs": [], - "source": [ - "experiment.initialize(experiment_config)\n", - "# this may take a few minutes, log messages will start to appear in the output directory." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "1b675b16", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2002-12-31T00:00:00Z\r" - ] - } - ], - "source": [ - "while experiment.time < experiment.end_time:\n", - " experiment.update()\n", - "\n", - " # Overwrite soil moisture field\n", - " soil_moisture = experiment.get_value_as_xarray(\n", - " \"upper_soil_saturation_degree\",\n", - " )\n", - " soil_moisture[31:41, 18:28] = 1\n", - " experiment.set_value(\"upper_soil_saturation_degree\", soil_moisture.values.flatten())\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station = experiment.get_value_at_coords(\n", - " \"discharge\", lat=[grdc_latitude], lon=[grdc_longitude]\n", - " )\n", - " time = experiment.time_as_isostr\n", - " timeseries[\"experiment\"][time] = discharge_at_station[0]\n", - "\n", - " # Show progress\n", - " print(time, end=\"\\r\") # \"\\r\" clears the output before printing the next timestamp" - ] - }, - { - "cell_type": "markdown", - "id": "beda70ac", - "metadata": {}, - "source": [ - "## Final analysis" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "3ff21cbc", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Increased discharge due to irrigation')" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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vlDoV8x16Ril1M6YfYQNGfByE+a5FNuMOcT9GdJ/pOZw2v+3nWutNmPfmIOB0r0DkDvw+fB3A6VrrV4p4nGrzDcxx5mtKqbdg+vDNxez3vzAutvs5+C+mcOkk73txD+YzfizG6VwZ8RiFXrssvOPBmRgR+ahS6irMe3UIphjneUyxmTCRqXWZsPzJn9aZFgc6tGwhodYeoduXhO/j3PZBTFXoJkyo4hWMa7C3s84p5Glv4K2jME2Qb8P8IA5jhNw9wDeB+aH198dUwm3EtJW4B3OQP5RQSwZM4+ZfYn6cOzHhoKWYH/lFOfbneOBGjFgaxuShPQScR6i/lrf++zGhr0HMAf6PGPGb87XL81oc5T2ffu/53YD5cb+C4tqy7IxxtR729mUI43BcA+yf4zGPw1Tqdnrrv45p/3G4s07Waxvaxqtkt+VIYHIun/Ve99UYx2irYp9PxOPEgC9ifjyHMD/WF2Mcnx5MNfKY39M8j7+d91p2Ydqa3A+8jfwtUE7w3o9BjHP011yvgXOf3bzbX8Pv9fg0pmfe4SXs7zHePvYS3ctxCvBDTKX8kPe8/gO8tcTPbdT7n/M1KeHYEGjL4izfAvg95jM+gGmO/FFME2cNnBlafxrmZPFV7314GeMKt0bte6HXjoi2LM793oopJtvovaZLgf8lujXQEnIfXwu+PvJXf3/Ke/MEQRCECuBNwXgR+KvW+v2F1hcmJkqp72FOEo/RWv+71vsjbH5IDp8gCEIZUErNUaH5yl6/vZ95/15X9Z0Sqo6KmCmslNoNk3vYSUQ/S0GoBpLDJwiCUB7OBN6vzID7VZgWGEdg8hRvwswvFSY+DyullmLC3H2YfN+3YQyWT2utB2u5c8Lmi4R0BUEQyoBS6gjgK5gWF9MwzWlfxAyf/5nObrshTECUUmdj8nYXYgpMujBFRj/WWi+p1X4Jggg+QRAEQRCECY7k8AmCIAiCIExwRPAJgiAIgiBMcEYt+JRSHUqp/1VK3aKUWqeU0kqpc0LrxJVSX1JK3ayUekMp1a+Uek4pdX5UZ3nvPp9XSj2vlBpSSr2ilDo7arSVUmqWUuoKpdR6b7v3ezk0giAIgiAIgsNYHL7pmK7yTcD1OdZpwTSBfA1TwXYccJl3v3vD46qUUmdhRhv9HdMB/hJM36KLQ+s1YRrhHgF8AdOpfw1ws1Iq78xSQRAEQRCEzY1RF20opRSYNtxKqRmYruLnaq3PcdaJYzp4bwjd92RMi4IPa63/6C2bDrwB/EFr/Sln3W9iOs4v0lo/6y37LEYE7q+1vt9blsBMLOjVWr+lxOcyGTNi5nVMp3tBEARBEIR6pRGYD9ypc4zUCzPqPny6CKWotU7hD3p2eci7nO8sOwZoxoyVcvkd8D1MmbudWXoi8IIVe95jJZVSfwS+r5TaQmu9opjn4XEIZkyUIAiCIAjCeOEdwD+KWbFWjZcP9y6fcZYt8i6fclfUWq9SSq13brfr3h2x3Se9y10x806L5XWA66+/nu22266EuwmCIAiCIFSXpUuX8s53vhM8/VIMVRd8SqktgPMxA7tvdG6aDgxprfsi7tbp3e6u25ljPULrhh9/FjAztHg+wHbbbceuu+6ad/8FQRAEQRDqhKLT0Koq+JRS04B/AQp4r9Y6HVolX5g4fFsp67p8Fjg7z+2CIAiCIAgTiqoJPqXUVOA/wBbA4VrrZaFVNgDNSqlWrXV/6LZpwCOhdaNcvGneZZT7Z7mE7JmW2yI5fIIgCIIgTFCqIvg8sXcrsDVwhNb6yYjVbO7ebsCDzn3nADMwg6jddXeL2IZd9nTEbQBordcCa0P7V+AZCIIgCIIgjF8qPmnDEXvbAG/VWj+WY9WbgUHglNDyUzAh2uudZdcBOymlMu1XvLYsHwIe1FqvLMe+C4IgCIIgTATG5PAppY4F2oAOb9EuXo89MLl6Gvg3sBem8XJCKbWvs4l1WuuXAbTWnUqp84DvKqU6gVuAxZjGzZfbHnwevwU+B1ytlPoGxrH7LLAjcORYnpMgCIIgRJFMJtm4cSO9vb2MtoetIORCKUVTUxOTJk2ira2t7NHHsYZ0fwls5fz/bu8PTPgWjGgDM0EjzO9xHD2t9feUUj0YMfcVYDWmovd77p201kPeGLX/BX4OtAKPA8dqre8c/dMRBEEQhGy01rzxxhsMDAwQj8dJJGrV1UyYqKRSKTZt2sSmTZuYNm0as2bNKqvoG9MnVmu9sIjVStpbrfVFwEVFrLcG+Ggp2xYEQRCE0dDT08PAwACTJ09m7ty5kvstVITh4WFWrVpFZ2cnbW1ttLe3l23bFc/hEwRBEITxTnd3N0DZXRdBcGlsbGTu3LmA/5krFyL4BEEQBKEAIyMjJBIJCeUKFaexsZGGhgaGhobKul0RfIIgCIJQAK01sZj8ZArVQSlV9sIg+fQKgiAIQhFIKFeoFpX4rIngEwRBEARBmOCI4BMEoXRevQd+dSA88dda74kgCHXCt771LRYsWEAikWDKlCm13h0hhAg+QRBK54q3weqn4LpP1XpPBEGoA2644Qa+973v8ZGPfIQ777yTW2+9tda7JISQciNBEARBELLo7++ntbW1qHWfftqMsD/jjDOYNWtW1R9fKIw4fIIgCIKwmXPOOeeglOLRRx/l5JNPZurUqWy77bZorbnkkkvYc889aWlpYerUqZx88sksW7Ysc9+FCxfyrW99C4DZs2ejlOKcc87J3P63v/2N/fbbL9NI+Oijj+axxx4LPP4pp5xCe3s7Tz31FG9961vp6OjgiCOOAEwz4vPOO4+ddtqJpqYmZs6cycc+9jHWrVsX2MbChQs5/vjjufnmm9l7771paWlhp5124re//W3W812xYgWf/OQnmT9/Po2NjcybN4+TTz6ZNWvWZNbp7u7mK1/5CltvvTWNjY1sscUWnHnmmfT19Y359a4FIvgEQRjf9K6F3xwN//parfdEEMY9J510Ettttx1XX301v/rVr/jUpz7FmWeeyZFHHsn111/PJZdcwjPPPMP++++fEUfXXXcdp512GgA333wz999/Px//+McB+P73v8/73/9+dtllF6666iquvPJKenp6OOigg3j22WcDjz08PMwJJ5zA4Ycfzg033MC5555LOp3mHe94B+effz4f+MAH+L//+z/OP/98/vOf/3DooYcyMDAQ2MYTTzzBl7/8Zb74xS9yww03sPvuu3Paaadx1113ZdZZsWIFixcv5rrrruNLX/oSN910Ez/72c+YPHkyGzduBIy7eMghh/D73/+eM844g5tuuomvf/3rXHHFFZxwwgnjcpayhHQFQRjf/Pub8PoD5u8tn4Lp29Z6j4TNiHP/+QzPrizvRISxsMu8SZz99l1Hff+PfvSjnHvuuQA88MADXHbZZVxwwQV86Utfyqxz0EEHscMOO/CTn/yEH/7wh+y1115sueWWALzpTW9ixowZALz++uucffbZnH766Vx0kT8x9aijjmL77bfn3HPP5W9/+1tm+cjICN/+9rf52Mc+lln217/+lZtvvplrr72Wk046KbN8jz32YPHixVxxxRV85jOfySxfv3499957LwsWLADg4IMP5rbbbuPPf/4zBx98MADf/va3Wb9+PU888QQ777xz5r7vec97MtcvuuginnzySR588EHe/OY3A3DEEUewxRZbcPLJJ3PzzTdz7LHHjvZlrgki+ARBGN+se8G/PlQ/P7zC5sGzK7t58JXOWu9G2XjXu96VuX7jjTeilOJDH/oQyWQys3zOnDnsscceLFmyJO+2/v3vf5NMJvnIRz4SuH9zczOHHHIId9xxR97Ht/swZcoU3v72twe2seeeezJnzhyWLFkSEHx77rlnRuzZx9phhx147bXXMstuuukmDjvssIDYC3PjjTeyaNEi9txzz8DjHn300SilWLJkiQg+QRCEqhKL+9fT6drth7BZssu8SbXehQBj3R87xxVgzZo1aK2ZPXt25LrbbLNN3m3ZkO/ixYsjbw9PLmltbWXSpOD+r1mzhq6uLhobGyO3sX79+sD/06dPz1qnqakpEPpdt25dxpHMt+9Lly6loaGhqMcdD4jgEwRhfBNzDmPpZO71BKECjCV8Wo+4Ex5mzJiBUoq7776bpqamrHWjlrnY0O4111zDVlttVdJju9uYPn06N998c+R9Ojo6Cm43zMyZM3njjTfyrjNjxgxaWloiCz7s7eMNEXyCIIxvlOPw6VTt9kMQJhjHH388559/PitWrAjktxXL0UcfTSKR4OWXX84K1ZayD3/9619JpVK85S1vGdU2whx77LFceeWVvPDCC+y44445H/f73/8+06dPZ+utty7L49YaEXyCIIxvxOEThIpwwAEH8MlPfpKPfexjPPzwwxx88MG0tbWxatUq7rnnHnbbbbdA/lyYhQsX8p3vfIezzjqLZcuWccwxxzB16lTWrFnDQw89RFtbW6ZAJBfve9/7+NOf/sRxxx3HF77wBfbZZx8aGhp44403uOOOO3jHO97BiSeeWNLz+s53vsNNN93EwQcfzDe/+U122203urq6uPnmm/nSl77ETjvtxJlnnsm1117LwQcfzBe/+EV233130uk0y5cv55ZbbuHLX/5y2QRotRDBJwjC+MbNA0qLwycI5eTSSy9l33335dJLL+WSSy4hnU4zb948DjjgAPbZZ5+C9/9//+//scsuu3DhhRfyl7/8haGhIebMmcPixYv59Kc/XfD+8Xicf/zjH1x44YVceeWV/OAHPyCRSLDllltyyCGHsNtuu5X8nLbYYgseeughzj77bM4//3w2bNjAzJkzOfDAA5k2bRoAbW1t3H333Zx//vn8+te/5pVXXqGlpYUFCxZw5JFHsnDhwpIft9ao8dhLptwopXYFnn766afZddeJlY8hCGVHazh3iv//OZtqtisA/OGdsMyr9vvgtbD9kTXdHWFiYhsNFypUEIRyUOjz9swzz7Bo0SKARVrrZ4rZpjReFgShNJJDtd6DIIEqXQnpCoIgRCGCTxCE0kjVmeBzizbqbd8EQRDqBBF8giCURt05fE4qcmqkdvshCIJQx4jgEwShNOpO8DmHsXrbN0EQhDpBBJ8gCKVRb6Iq4PAN124/BEEQ6hgRfIIglEZyMPh/rSv9Azl8IvgEQRCiEMEnCEJphAsjdI3n18ZE8AmCIBRCBJ8gCKURDunWutmxOHyCIAgFEcEnCEJphAVfrefXBoo2RPAJgiBEIYJPEITSyBJ8NQ7pujmE4vAJgiBEIoJPEITSCBdt1Dqk6z6+CD5B2Ow49NBDOfTQQ2u9G3np7+/nnHPOYcmSJTXbh0ThVQRBEBzCoqrmDp8IPkHYnLnkkktqvQsF6e/v59xzzwWomTgVwScIQmlktWWpseATh08QNkv6+/tpbW1ll112qfWujAskpCsIQmnUXQ6fI/ikaEMQRs1LL73EBz7wAWbNmkVTUxM777wzF198MQCDg4PstddebLfddmzatClzn9WrVzNnzhwOPfRQUinzXTzllFNob2/nmWee4YgjjqCtrY2ZM2dy+umn09/fH3hMrTWXXHIJe+65Jy0tLUydOpWTTz6ZZcuWBdY79NBDWbRoEXfddRf7778/ra2tnHrqqZnbXNfs1VdfRSnFj370I374wx+ycOFCWlpaOPTQQ3nxxRcZGRnhG9/4BvPmzWPy5MmceOKJrF27Nuv1+Nvf/sZ+++1HW1sb7e3tHH300Tz22GOBdexzXbp0Kccddxzt7e3Mnz+fL3/5ywwNDWX2Z+bMmQCce+65KKVQSnHKKaeM4l0aPSL4BEEojXpryyIOnyCMmWeffZbFixfz9NNPc8EFF3DjjTfytre9jTPOOINzzz2X5uZmrrrqKtauXZsRWul0mg9+8INorfnLX/5CPO63SBoZGeG4447jiCOO4Prrr+f000/n0ksv5b3vfW/gcT/1qU9x5plncuSRR3L99ddzySWX8Mwzz7D//vuzZs2awLqrVq3iQx/6EB/4wAf417/+xWc/+9m8z+niiy/m3nvv5eKLL+byyy/n+eef5+1vfzunnXYa69at47e//S3/+7//y6233srHP/7xwH2///3v8/73v59ddtmFq666iiuvvJKenh4OOuggnn322cC6IyMjnHDCCRxxxBHccMMNnHrqqfz0pz/lhz/8IQBz587l5ptvBuC0007j/vvv5/777+d//ud/SniHxo6EdAVBKI26DunW2dg3YeJz0zdg9VO13gufObvBseeXfLcvfelLdHR0cM899zBp0iQAjjrqKIaGhjj//PM544wz2H777bn88st573vfy4UXXkhnZydLlizh5ptvZu7cuYHtDQ8P8+Uvf5kzzjgjs62GhgbOOuss7r33Xg444AAeeOABLrvsMi644AK+9KUvZe570EEHscMOO/CTn/wkI5oAOjs7ufrqqzn88MOLek5Tpkzh+uuvJ+a1blq/fj1nnnkmO+20EzfccENmveeff56f/exndHd3M2nSJF5//XXOPvtsTj/9dC666KLMekcddRTbb7895557Ln/7298Cz/Xcc8/l3e9+NwBHHHEEDz/8MH/+85/59re/TVNTE29605sA2HLLLdl3332L2v9yI4JPEITSyCraqLHDFyjaGKndfgibJ6ufgtfuqfVejInBwUFuu+02PvOZz9Da2koymczcdtxxx/GLX/yCBx54gGOPPZb3vOc9LFmyhK9+9aukUim++c1vctRRR0Vu94Mf/GDg/w984AOcddZZ3HHHHRxwwAHceOONKKX40Ic+FHjMOXPmsMcee2RVtE6dOrVosWf3Peb06dx5550BeNvb3hZYzy5fvnw5ixYt4t///jfJZJKPfOQjgf1qbm7mkEMO4Y477gjcXynF29/+9sCy3Xffndtvv73ofa0GIvgEQSiNenb4wuFmQag0c3ar9R4EGcX+bNiwgWQyyc9//nN+/vOfR66zfv36zPVTTz2VX/7ylzQ2NmYcvDCJRILp06cHd23OnMzjAaxZswatNbNnz47cxjbbbBP4P+wiFmLatGmB/xsbG/MuHxwczOwXwOLFiyO364pIgNbWVpqbmwPLmpqaMturF0TwCYJQGuHCiFrn8InDJ9SSUYRP642pU6cSj8f58Ic/zOc+97nIdbbeemsA+vr6+PCHP8wOO+zAmjVr+PjHPx4Ij1qSySQbNmwIiL7Vq1cDZJbNmDEDpRR33303TU1NWdsIL1NKje4JlsiMGTMAuOaaa9hqq62q8pjVQASfIAilUc8OnxRtCELJtLa2cthhh/HYY4+x++67ZxyvKD796U+zfPlyHnroIZ5//nlOPvlkfvrTn/LFL34xa90//elPAQfwz3/+M+D3oTv++OM5//zzWbFiBe95z3vK+6TGwNFHH00ikeDll1/mXe96V1m2acXrwMBAWbY3GkTwCYJQGnXXlsV5fCnaEIRRceGFF3LggQdy0EEH8ZnPfIaFCxfS09PD0qVL+ec//8ntt9/O5Zdfzh//+Ed+97vfseuuu7Lrrrty+umn8/Wvf50DDjiAffbZJ7O9xsZGLrjgAnp7e1m8eDH33Xcf5513HsceeywHHnggAAcccACf/OQn+djHPsbDDz/MwQcfTFtbG6tWreKee+5ht9124zOf+UzVX4uFCxfyne98h7POOotly5ZxzDHHMHXqVNasWcNDDz1EW1tbpolysXR0dLDVVltxww03cMQRRzBt2jRmzJjBwoULK/MkIhDBJwhCaYRFVa0FX9pPqpaQriCMjl122YVHH32U7373u3zrW99i7dq1TJkyhe23357jjjuOp556ijPOOIOPfvSjgf5xP/7xj7n//vt573vfy2OPPcaUKVMAaGho4MYbb+SMM87gvPPOo6WlhU984hP86Ec/CjzupZdeyr777sull17KJZdcQjqdZt68eVkCstr8v//3/9hll1248MIL+ctf/sLQ0BBz5sxh8eLFfPrTnx7VNn/zm9/w1a9+lRNOOIGhoSE++tGPcsUVV5R3x/OgtDt4fDNFKbUr8PTTTz/NrrvuWuvdEYT65q8fhOdv9P//zP0wu4ad7i87AlY8bK5P2xbOeLR2+yJMWGwj4HAhgZDNKaecwjXXXENvb2+td2XcUujz9swzz7Bo0SKARVrrZ4rZpjReFgShNOoth0+KNgRBEAoigk8QhNLIyuGrp0kbksMnCIIQhQg+QRBKo66LNqRKVxBqzRVXXCHh3DpEBJ8gCKURdtHStS7akJCuIAhCIUTwCYJQGnXn8MmkDUEQhEKI4BMEoTSyijZqncPntGVJj4B0HhAqhHS1EKpFJT5rIvgEQSiN8Gi1Wjt84dFukscnVIBYLEYqlRLRJ1QcrTWpVKrso+RGLfiUUh1Kqf9VSt2ilFqnlNJKqXNyrLu3UupWpVSvUqpLKfV3pVRkcxml1OeVUs8rpYaUUq8opc5WSjVErDdLKXWFUmq9UqpfKXW/UuqI0T4fQRCKJOzw1XyWbkhwiuATKkBTUxOpVIq1a9eK6BMqRjKZZNWqVaRSKdrb28u67bFM2pgOfBJ4Arge+HjUSkqpnYAlwOPAe4Bm4DvA3UqpPbXW65x1zwK+C5wP3AIsBs4DtvAey67XBNwGTAG+AKwFPgfcrJQ6Umt95xielyAI+QgLqnpz+JLDkD2HXRDGxOzZsxkaGqKzs5NNmzYRj8fL7sAImy9aa9LpNMmkSVFpbW1l6tSpZX2MsQi+14CpWmutlJpBDsGHEXdDwPFa624ApdQjwEvAV4Cve8umA98CLtNaf9O77xLP3TtPKfUzrfWz3vLTgEXA/lrr+73734ERn/8LvGUMz0sQhHzUWw5f+PHF4RMqQCwWY8GCBaxZs4ahoSHSta5OFyYUSikSiQQtLS1MmjSJjo6Osp9QjFrw6SI8baVUAjge+IMVe959X/ME2ol4gg84BuP+/S60md8B3wPeCVjBdyLwghV73jaTSqk/At9XSm2htV4xqicmCEJu0qlgkQTUn8Mngk+oELFYjLlz59Z6NwRhVIzF4SuGbYEW4MmI254EjlJKNWutBzGOHcBT7kpa61VKqfXO7XjX786xTYBdgUjBp5SaBcyM2E9BEAoR1fak1k6HOHyCIAgFqbTgm+5ddkbc1gkoYCqwylt3SGvdl2Pd6c7/0/Nsk9C6YT4LnJ3ndkEQchEO54I4fIIgCOOASgs+S77wr85xvdA2SlnX5RLg6tCybYEb8txHEASIFlO1zuHLKtqQ5suCIAhhKi34NniXUY7bNIww63LWbVZKtWqt+yPWfSS03VzbhGj3DwCt9VpMVW8GqbQShCKJcvhq3pYl7PDJeDVBEIQwlW68/DIwAOwWcdtuwFIvfw/83L3AukqpOcAM4Gln8VN5tkloXUEQykWUe1Z3IV1x+ARBEMJUVPBprZPAP4GTlFIddrlSagFwGPB3Z/WbgUHglNBmTsE4gdc7y64DdlJKZdqveBXBHwIe1FqvLNuTEATBJ1Lw1ZvDJzl8giAIYcYU0lVKHQu0AVbM7aKUOtm7/i8vNHs28F/gRqXU+fiNl9cDF9htaa07lVLnAd9VSnXiN14+B7jc6cEH8FtMo+WrlVLfwIRoPwvsCBw5luckCEIeInP4ajh1QOuISRsS0hUEQQgz1hy+XwJbOf+/2/sD2Bp4VWv9vFLqUOCHwDVAErgd+Io7ZQNAa/09pVQPRsx9BViNmbrxvdB6Q94Ytf8Ffg60YiZ5HCtTNgShgkQJvlrm8EWFk6VoQxAEIYsxCT6t9cIi13uEIp03rfVFwEVFrLcG+Ggx2xQEoUxEOnw1zOELN4EGcfgEQRAiqHTRhiAIE4lUhMCqZQ5flLsoRRuCIAhZiOATBKF46s3hixKbUrQhCIKQhQg+QRCKp95y+KIeOymCTxAEIYwIPkEQiicqP66mDl/EY4vDJwiCkIUIPkEQiqfeQrqROXwi+ARBEMKI4BMEoXjqTfBJDp8gCEJRiOATBKF4okK69ZbDJ4JPEAQhCxF8giAUT705fFF9+KRoQxAEIQsRfIIgFE+k4KvlpA1x+ARBEIpBBJ8gCMVTb1W66agqXWm8LAiCEEYEnyAIxZOusxy+SIdPRqsJgiCEEcEnCELx2HBpzBnDrXVt9gWixWYtBaggCJs33Sth7XO13otIRPAJglA81j1LNPvL6i2HL6qQQxAEodIM9cJFe8El+8KKR2q9N1mI4BMEoXisw5do8pfVW+NlEXyCINSC1x+A5KC5ftt3a7svEYjgEwSheKzgizeC8g4f9daHT0K6giDUgnijf70OuwWI4BMEoXhsSDfWACpurtfbpA1x+ARBqAVxJ/KRrL9uASL4BEEonozD1+A7fLXM4ZOQriAI9YJS/nVx+ARBGNe4Id2YOHyCIAgZXJEngk8QhHGNDem6Dl9U8+NqITl8giDUC24PUAnpCoIwrskIvsb6y+Gz+TPi8AmCUAtcwScOnyAI45pAla6Xr1LTHD5HbCZE8AmCUEPSIvgEQZgouCHdesjhc8WdCD5BEGqJK/KSIvgEQRjP1FsfvsiQruTwCYJQA1LOyWZKcvgEQRjP1FsOnyvuEl7TU3H4BEGoBQGHTwSfIAjjmYzDl6iPPnxStCEIQr3g5vCha7YbuRDBJwhC8UT14auXtizi8AmCUEvcKt06RASfIAjFEwjp2irdWrZlcR5bcvgEQaglYcFXZ8ciEXyCIBRPYLSazeGrk9FqUqUr1CNamz9h4hNuxTLcV5v9yIEIPkEQiiftOnw2h0/asghCJANd8PM3wW/eGqzgFCYm6ZDDJ4JPEIRxixvSzeTwSdGGIETy6j3Q+TK88RCse67WeyNUmnBIVwSfIAjjlkBItx4cPl/wPbl6IGuZINSUwOSF+k7oF8pAluDrrc1+5EAEnyAIxaF1qPFyHfThcx77pU5v38ThE+oF9+RDTkQmPlkhXRF8giCMR1whVYcO37Bu8JaJ4BPqBPe7UcviJqE6SEhXEIQJgVuBFm+EWH2NVhsmYa6I4BPqhYDDJ5/LCY+EdAVBmBC4gi/WUB8hXdfhw3P4dEraYAj1gZaQ7maFtGURBGFC4J69BkK6tezD57smQ1bwgfy4CvWBOHybF+H3WASfIAjjkqyQbh04fDoihw/kx1WoD9yToVp+T4TqEHb4hiSkKwjCeCQs+FQd5PA5c3wzOXwggk+oD8Th27yQHD5BECYEqXCVrnX4apgv5zgoIyL4hHrDdfXkMznxkSpdQRAmBFkOnzLX62CWbkorRohnLReEmiJ9+DYvZLSaIAgTgjrO4UsRIxUQfOKmCHWAlpDuZkVWlW5PbfYjByL4BEEojlxVujXN4TOPnSZGUgSfUG+kpWhjsyIlVbqCIEwEskK6deDweT+oSeKk3MOZCD6hHnA/h/KZnPhIHz5BECYEAcFXJ334tOPwaXH4hDojULSR53vy+kPwzHWBqnNhHCI5fIIgTAjCId16yOFLuzl8sazlglBTCrVl0Rru/F/4zVFw9SnwypJq7ZlQCcIh3SHJ4RMEYTySsw9ffRRtSA6fUHcEGi9HnIQ88Ve443v+/13LK79PQuXICulKHz5BEMYjuQRfHTh86SyHTwSfUAcUasvy0r9D68vndlwTDulujg6fUmovpdT1SqmVSql+pdTzSqlvK6VaQ+vtrZS6VSnVq5TqUkr9XSm1TY5tft7bzpBS6hWl1NlKqYaodQVBKAPpcOPl+snhE4dPqEt0AcEXbtQbDgkK44us93MYkkO12ZcIKi74lFK7APcBC4EzgeOBvwLfBv7irLcTsARoBN4DnArsANytlJoZ2uZZwIXA34GjgUuAbwIXV/K5CMJmTTF9+FY8Cj/ZFW75VnX2yQsnZ/fhkxw+oQ4olMMXFghyojK+Cb+fAIPd1d+PHCQKrzJmPgA0A+/SWr/sLbtdKTUX+KRSaqrWeiPwHWAIOF5r3Q2glHoEeAn4CvB1b9l04FvAZVrrb3rbW+K5e+cppX6mtX62Cs9LEDYvipml++z10P0GPHQZvPW8yu+T9wOZ0jGSEtIV6g33ZCjKCQ/nfMnndnxj38+myTC0yVwf6ob2mbnvU0WqEdK1kndTaHkXkAaGlVIJjPN3rRV7AFrr14A7gBOd+x2DEZC/C23vd4AC3lmuHRcEwSGr8XKEwzcyYC6Tg9WZsSuTNoR6pmSHL8IhEsYP9j1uneovq6M8vmoIvt9jxN0vlVLbKKU6lFLHA58CLtZa9wHbAi3AkxH3fxLYTinV7P2/yLt8yl1Ja70KWO/cLgjjh00rYNUTtd6L/BRTtJEcdK5XIXfFnbShxeET6oxADl9EcVNY4EkqwvjGHiNbp/vL6kjwVTykq7V+VSm1H3Ad8LJz00WYnD4A++p0RmyiE+PcTQVWeesOeUIxat3pEcszKKVmAWF/ddt89xGEijLcD786AAY2wmm3wvzFtd6jaLJy+KIEn7NOaggamqkoOR0++eEU6oCCDp+EdCcMWvuObcs0f3kuwZdOw9L/wJQFMGvnyu8fVRB8SqmFwD+BNcDJwDrgLZg8vHbgNGf1fDEgneN6vvWi+CxwdoF1BKF6dC4zYg9g1eN1LPgcNyKWiM7hq7rDZ8SmzNIV6pJCffjCVblRSf/C+CCdIiM/Ag5fjqKNl2+DP78HmqfAl1+o/Mkx1SnaOB+YBOzpuHJ3KaXWA79VSv0BWO0tj3LnpmFexS7v/w1As1KqVWvdH7HuIwX25xLg6tCybYEbCj0RQagI/ev96wNdNduNglg3ItYASjk5fKnsdaA6gi/g8ElIV6gz3DCuOHwTGzc8X0xId90L5nKwC/rWwZT5Fds1SzUE357AsxEh2P96l4uAe4EBYLeI++8GLNVaW+vgKWf5g3YlpdQcYAbwdL6d0VqvBda6y5RSBZ+EIFSMPkfwDXbVbDcKYt2HeKO5LJTDF/4xqwRp6cMn1DEF+/CFBV8VUhFSI/DCTTB3D5i6VeUfb3PBfS9b3ZBuDofPnbM7EvauKkM1ijZWArsqpdpDy/fzLt/QWicxYd+TlFIddgWl1ALgMEy/PcvNwCBwSmh7p2CcwOvLteOCUBX6N/jX61rweQe0uNff3PbhC4R0XYfPEX+VwrZlEYdPqEcKTdoIf06rUaX7+J/gqg/DH0+q/GNtTrjh+aYOEwmB3A6fO3ZtOKokofxUw+H7GUaE/Ucp9VNMJe2+wP8DngVu8tY7G+P63aiUOh/TeuU73voX2I1prTuVUucB31VKdQK3AIuBc4DLpQefMO7oGy8h3VwOn5M2W+0cvpyTNqRoQ6gDCubw1SCku/4lc7lhqfnuSoSrPASK2hqM6BvozCP4JqDDp7X+B3AE0I2ZjnEj8FHgUuBgrfWwt97zwKGYvn3XAFcAS7111oW2+T1Mhe/JGMH3eUyu4Ocq/XwEoey4OXyD4XaVdUSW4IvK4XNEXpWLNqQPn1B31GOVru2VWa3H21xw3dmYJ/gg96QNV/ANV0fwVcPhQ2t9B6aBcqH1HgGOLHKbF2FauwjC+GbcOHyhkK51BgI5fI7IS1XR4dPSh0+oQwrm8IWrdKvwuU2GTsriMoK+LAQa0zdC0yRzPZfDN9IXfb2CVCOHTxCEfPSNF4fPCj7P4YvM4au2wyeTNoQ6JlClWych3aTj8FWjsGpzISD4EtBcQPDVwOETwScItaZ/IlXpVlnwaWfSRqBoQ3L4hDqgHnP4RqpcSb+5kCuku5lV6QqCkA/X4Rvqrl+xkhXSLZDDV+W2LOLwCXWH+znMqsh1GvXmWqcSVLt10uZCeBJRRvAV4/BJSFcQJj7plD9lw1KvYd1M42Uv9begw1eFtiyZKt249OET6o98RRtRYqvagi8pgq9suPmX8UQRDp/TlkUcPkHYDOjvJOssv17DuvbHK9yHD/xcpZrm8EnRhlBn5CvaqJXgG5EcvopQssPniDxx+ARhM8DN37PUa6Wu/fGyQk85gk+nzRmuzlHAUSkygk9JHz6h/shXtBFVkVuNWbrVrqTfXMiVw5cajj4WSg6fIGxm9EUIvrp1+LwfqExI12nYqlPZPx5VbMuSFodPqEfyFW1EOnxVOFFxq3QlpFs+stqyTPb/D7t86XSwFYtU6QrCZkDfuuxl9erwhQVfLOTwhc9iq/Fj4oR0QfmVuiL4hHogXw5f1Bg1qdIdv4TbsliHD7LzssOOnvThE4TNAHeOrqVeizbsj5EN5apQG5QswVfNoo2Yd2l7A4rgE+qAvDl8UYKvGiFdV/BJSLds5Mrhg2yHL5yzJw6fIGwGjKuQrvnBGiFGV/9wdg5fWOBVpS2LN1rNm7KR0uLwCXVEvVfpViNncHPBfe/cHD7IFnxhR09y+ARhM8AWbTRPMQcJqOOQrvnxuuPFTt7y/dvYNBjKTwr/gFXR4bMFG5nCDSnaEOqBQA5fOnhbpMNX4c+t1sEq3WoUVm0uBBy+AoIvy+GTkK4gTHxsD77WadAyxVyvW4fPnMEOpBRDyTRLXnLC0VpnC7yqVOmafUp7hzLJ4RPqikCVbtjhcwRfQ2v2skqQGiHQBkocvvIRyOFrgOY8RRthgScOnyBsBtgfgXijcfmgjh0+s69WVPWPhFpOhIs0qiD4dFpy+IQ6ptg+fA0t3joV/ty6FbogOXzlJKtK13X4Qs2X3abLIDl8grBZYH8EYgn/jLBuiza8FihentxA0m3LEpXDV722LKmMwxcx7k0QakWxVbrW4au44AsXVongKxuBPnwJ/z2FbAcvy+GrTkg3UZVHEQQhGvuDoGLjJqRrRdVA0gkNRfXhq2JblnTG4YsFlgtCTSm2D1+1HL6RsMMnId2yEQ7pJpr9/8Ove9jRE4dPEDYD3OkV1uGr15BuyE0LCr6oPnzVKNowYWUbZk5qCekKdUQ6X0jXdfiqFdKtgQu/uRAO6cbiEG8y/2c5fKGQbnqkKuJbBJ8g1BK3t13TJHM91+zFWhNy+AZdwRfVh68qbVnMPtncvZQUbQj1hM43Wq0WId0atE7aXAiHdMEX8lkOX0QItwqVuiL4BKGWuDl88UZvWZ2GWTIFEkZc9bu/TbVy+DKCL5TDJ4JPqDS96+CGz8FT1+Rep9g+fFYYRM3XLScj4Up6EXxlw76fsQZ/7KQV8oVy+KLWqQAi+AShllgHIBY3eR9Q+YP+aAmJq4GRUEi32jl8WqO81y+7Sldy+IQK89iV8Ngf4cYv5l4nbw5fLRy+cA6fCL6yYd9PexwHX8hn5exFOXwi+ARhYuMWbdgwQN06fEHBl5lqAdEOX6XzgxxRZ3P3pA+fUDUGOs3lUHew355Lvhy+dC1y+GqQdrG5ECn4rMMXEtpRVblVqNQVwScItcQe4AMOX70KvuBUizQqeFu1Q7rOj2Na+vAJ1cb9vOc6SSu5D1+Fv/th4SFtWcqHfe9ijuBrLCGkKw6fIExwtJPDlzlQ6PoLSWqdVaWbooDDV/GQruPwyaQNodoUM5O21EkbOp3bLSwHUrRROexraXOxobSiDXH4BGGCkwnpxiHutMWsN5cvInwacPgi+/BVz+Hzq3Qlh0+oEgGHL8cJRtE5fC251ysnIvgqh829do/juUK6ti1LQ5uzTBw+QZjYuH343FBAveXxRYirdJbDV+UfE0fUZap0tTh8QpUoRvC5y/NW6TpTGSp5sheu0hXBVz7yOnw5QrrtM/1lUqUrCBMct2jDTfatO4fPFXzG2cvO4QvP0q20w+eGdMMOnwg+ocK4gi9nSNfN4QuFat3PqDuVoZKf3XCVrrRlKR9uWxZLzpCuJ+7aZjnLJKQrCBMbtw9fzAkF1JtgiQyfFnD4dLqyLWYiijakD59QNdzPe1FFGzkcPrcHZ9R65USqdCuHFXVueL5QH742cfgEYfPBDenWs8PnTAywokqHBV/Uj0clW7M4P4zJrFm6IviECuN+3qO+r1qHJm3kEnwN5vufa71ykjVLd4JV6SaH4KZvwF0/rv5jW8HW6OTl5Qzpejl8bki3Cjl8icKrCIJQMdyijXGTwxdRpZtORYdwk0PBA2A5cdyTVKYPnxRtCFUi4PBFiDQdCuFmFW3YJP/G4MleNR2+iRbSvfUcePCX5vquJ8L0bav32FbEBQSf5/Clhs37bQs6rPBubDfvf2pYqnQFYcKTzuXw1ZlDFXDToqp009E/HpXs8xVRtCEOn1A1CuXwhU86dNq4fpn72CT/huqlc0zkSRvJYXjgEv//TW9U9/GHoxw+pxjHvvZa+ycLDS3+OlKlKwgTnECVrnvQr3+HL1ilm8vhq2DhRsQ+SQ6fUDUKVelGtVdxRWAuwSdVuqPj6WuD//etq+7j27w8V+S5+XzW1UuNAJ7wTzT5AlFy+ARhghPow1fHOXyuuPJan6R1yOGLzOGr4A+KVOkKtaSQ4ItKK4hq05Ll8EkfvlHx8G+D/1db8GVy+Nr9Za74s7e770HCdfgkpCsIE5tx04cvu2ij6By+iu1TRJVupg+f5PAJFabQpI0oh09HOXyNVQzphr6jE2m0Wtfy4P+9a6v32Fo7OXwFHD73NU805R6/VgFE8AlCLbEH97qftJHdlkUHcvi0fyBTTsVhJX9QIkaricMnVA23wjXqBK2Qwxeo0q1SOkdWlW6dHWfGQvi5VdPhSw75RTq5cvgyDp+zn4lmf9qG5PAJwgTHOmeBWbrU34E4XwsU8HL4vB/A5kn+8oq2ZXGLNmyVrhRtCFWiUNFGuEoXQjl8Tki3VlW6E6ktS9ghq6bgc8OxDRFtWSCHw9fsOHwS0hWEiU2uPnx1F9LNDp9mjVazPx5NjuCrctGGOHxCVXArLaGEHL5cId149DrlZjxM2kinYdUTpZ30pkayj5nVDOm6Yi2nw2cFn5vD1yRVuoJQl/zra/D7E2BgY/m26Y5Wi5W5Lcur98KlB8Pjfxn7tiIKJNJZOXwRDl8lf1Ai9kn68AlVIVzsMKYcPqnSDXDPBea4dd2ni79PVP5b3/ry7VMhXIfPzeFzr9t1shw+qdIVhPpi3Qvw0KXwyp2muWe5sM5ALJTDVw6H74rjzJny9SUcOHPhNjnOOHzhPnzW4ZvsL6+Ww6elD59QRcKh0TFX6VYrpBsWfEPB3oD1wPIHzeUb/y3+Pm7+nq2S7VtbvefmunOBKt2okG4uh09CuoJQHwz1+tdXPla+7WZCuuMphy9qlm7KdwuaOvzlFW3LIn34hBpRjOArug9fDat0K/14o8FGUIa6i7+PK5ambGUuk4Ow6nHofKVsu5YTN6Qb6MNXqC1Ls1TpCkLd4ebYlCtM6c7aDPfhq7eDcMBNi9MQVyHBl/YPZIGQbiWrdP2k+FRYhKaT9edcCBOHLKdsNFW63n2yqnQrOUu3yq2TRsNgl7kc6in+O+w6fFMW+Nd/fShcvA/0rCnX3kUznCuHr0DRRoNTpZscrHgqigg+QSiGQM+tMh0g3S93eNJGHTt8KRStjYlgW5ZU0l+nqUqCL1Q5nIgpktoR5lFVkoJQDsLOdVQKRtTnz11mv+PxhlA6RxUcvkSzsx91lsdnHb50MrvVSi7c9aYuDN6WGobXHyjLruUkp+ArVLTRHMzzq7DLJ4JPEIrBPaCUS8S4IR8Vq/Mq3WALlPamRNDhcw9UVWvLEqwcbm6I+1W6odsFoayUxeGrckg3naOSvp4EXzodLIorNqzrhlSnbpV9e7xpbPtViOEcIV23ICcT0g01XnbXr3Clrgg+QSgG9wBfLsEXcPjKnMOXLrO7FaqIbW2MM6KdHyn3wFy1tizBfWpKxPw+fCCCT6gc4c/1aHL40o7DVw13393nZrewqo5CusM9QRd0sFjB54Z0IwRfpfPj3O27Dh/4gi6nw+esX+FefCL4BKEYKu3wZfXhG6NYGe4Z2/3DhAokWpsS9OKEhXpW+9dbpoIN90blDFVon8ThE6pGOI93LDl81Zql656UtU7P3o96INzyaqjI45gruKbMj7i9yNDwaBl2ivqyBJ+Xx2f3cSRHlS6IwycIdUFFcvicg78qcw7fQFfoscbo+IWqdNsa4/ThJCT3rPKvN3X4B7EqOXwpYjQ1hB0+6cUnVIgshy9K8BVw/aod0nVPylxRVE/TNsLHraFNxd3PFUque2mptMNnHz+WMO+nS0OoCjevwyeCTxBqj3uGWK6cF1eElXvSxmDoQDnW7YXctLamBCniDGpvn7tdwTcp+6y2EuhwSFccPqFKFNWWpcjRatWapdvrVKq6laz1lMMXdvhGE9J1HbPM7ZUWfF4otqENlArelhXSdT478bDDJyFdQag9lXCqwiHdck7aCAu+sR7UQ25aW6MRVr3W5Qs4fO3ZB7lK4BZt6BjNDTG/D1/odkEoK2FXLOr7WvRotSrN0nW/o67gK6XNVDoFfzwZLjs82Ju0XGSFdIsVfI6ga2iBt54HiYiWKJXC5t6Fw7l2fyDb4Ys3QiwmVbqCUHeEDxjlyONzD/5ZffjG6vB1Bf8fcxFIKKTbZByJXm0FnxMuamyvjsMX2qfmRDxYOZzrh7McY+uEzZssh6/I0WpFVelWKBXB7UU32Q3pliD4nvsnLP0PrHgEHvxV+fbNMmqHzznOJFpg/8/DN1f67WcqPcXCbr8xwl3MHAtDDp/dtwZHJEoOnyDUAeEDfLEHony4B/9Y3IQC7IF/rAKt3A6fO1pN+4KvzxZuuI5HU0f2Qa4SOD+MaRWjIREL9uGLEnxPXgU/2BLu+lHl9kuY+Iy2LYv9HqXT/vV4Q7Cxe6WKKKzD1zItNA2nhJPX7hX+9b515dkvl/CJaqlFG4kW45qBuazGcQh8oRbp8OXI4bOCL+DwTZCQrlLqQKXUv5RSG5VSA0qpl5RS/xNaZ2+l1K1KqV6lVJdS6u9KqW1ybO/zSqnnlVJDSqlXlFJnK6UaotYVhDGTDB0wwgem0aBDDh/4Yd2xOnzh5Ocxh3SDTY5bwyFdF7doo0qCT8XiNMRC0z+ifjj//gnzXt5+XuX2S5j4jHq0mree+/2u1ixdm8PXMScYTSglpDscCp2Wm1GHdL3jTHifwmKrUrg5fGEKOnwTrEpXKfUB4E5gE/AR4Djgh+C36ldK7QQsARqB9wCnAjsAdyulZoa2dxZwIfB34GjgEuCbwMUVfirC5kq4vUjYQRsN4T584B+Iy57DN9aQbrDxcluj5/Dp5ux1axDS1bEEibjyHUcItkoQhHISFnxFt2XxlrknYFWr0vUcvo45wUbEpZwMBnLlIsTNWBltSDeXw1YtwZc3hy9HH75EU/Z9KuzwJQqvMjaUUlsAvwYu1Vp/1rnpjtCq3wGGgOO11t3efR8BXgK+AnzdWzYd+BZwmdb6m959l3ju3nlKqZ9prZ+t2BMSNk8q4vCFqnTBP/CXPYevfA6frdIFggILzA9JotEPU1TyjDXkkCbiMTq1c7ZcjrC7IERRTFuWfFW6rkCs1ixdm8PXPifYOqQkweccB90wdLkYbVsWK+iyHL5qhXSLyeELTdqwDl+80UR4dGpCOHwfB9owjl4kSqkEcDxwrRV7AFrr1zDC8ERn9WOAZuB3oc38DuMYvrMsey0ILhVx+Nw+fN5XMePw1VkOX5bgMwf7Hh06wNrcoGqcWYdyIBtiih6cA244HFTsIHZBKEQxId18jZdT4ZBuzD8GVELwpdNOSHe2OSmzlHJscF3zSnQuGHXj5RwhXeueVbxowzqM7dm3NXnLhnrMMSjs8Cnl7+cEqNI9GOgEdlJKPa6USiql1iqlfqWUsjOYtgVagCcj7v8ksJ1SyloJi7zLp9yVtNargPXO7YJQPsIHt7KHdMM5fPUb0jWj1azDFxZ83sGtKkUbvoOiYg0k4rFgTmHY4ZMQr1AuimnLEpXDlynaCAk+cNz9Cgi+/vX+Y3fMDYZ0S+k44AqySoiTsMNXapVuOMxcNYfPO7ZE9QBsn2MuU8PQ35nt8Ln3q7AwrXhIF9gCaAWuBn4AnAksBs4FFimlDgLsnJfOiPt3Ypy7qcAqb90hrXXUK9PpbCsSpdQsYGZo8bbFPBFhMyZ8wCiH4NNROXxlqtKtYNFGypu0AREh3caww1edPnxaxWmIK7pdxzHsDoSrCtNpv6JPEEqhmLYspeTwgTnZSw1XpkrXbZvUPjtYtFHK4/U7P9GVGJs41j58tSraGMlTpTtprn+9Z6WfHpRwRHdjdfazGoIvhgnBnqu1Pt9btkQpNQz8DDgCsM8yX8xF57ieb70oPgucXWAdQQhSaYev3FW6FWy8rOJxGhNGKPWGQrq6qZ1nVmxih1gTjWAOYFpnd58vB57gS2lFIh4jEYvRmy+k27ch+H9yMDrnRhAKUUxblsgq3YgcviyHrwJ9+FzB1zEnKDZKacvS73yHKnEyN9ZJG7UQfKkR//gaJfg65vnXu1flcPhs6Hn8h3TtJ+TfoeU3eZd7O+tEuXPTMCKuy9les1Iq6kg9jWiX0OUSTNjX/XtHgfsImzuVcPiiQrply+HrCv5fxsbLjQkTPoVsh2/NUAPH//wernrc+0rrVOX6ink/qEnixGOKRFyRJuZXDod/LMIOXyXn/AoTm3Ark5Jz+KIcvnjubY2V3pDgc4s2SmnLEhB8ZRYnIwNOcZx3glhsDt9wjirZaoR03TBsIYeve4V/3Glwjp0Zh2/89+GLyssDvyVLGngZGAB2i1hvN2Cp1toenZ9ylvsbU2oOMAN4Ot/OaK3Xaq2fcf+8xxeE3ITFQThkOhoCVaa2WWiZ8ngqVLQxoo27l4iZr2/Y4Vs/bJyD17odo32sPwxdy/P+eKY8wdfgidBM4Ua4wi+X4LvpG/CbtwYnEQhCPopy+CKqdO133hUyNtE/XiZ3Pwr3s90+xxxn7DGn2BOfdBoG3JBumUWUe0zt8ERScqC4E8aCRRsVdM4CrWry5PCBaY2TN4dv/Dt813qXx4aWH+ddPqC1TgL/BE5SSmVagCulFgCHYfrtWW4GBoFTQts7BeMEXl+OnRaEABV3+MJ9+MZw0E8OZ4usMk3aSBGjKREjEfcEX6hoo9+rrerVjoMwlh+GR6+En+0GV5+SfVva36dETPki1O5TIYdvZMCEeR/8Jbz+IDx7w+j3U9i8GHUOn3ci5wq+Jq92sZJFG7ZCt3mycZaU8h+32GPZYFdQxIZbVY0VNyoxdStneRFh3YzgCwkutyVKpar0Czl8iUZo88oGuldmV+m69xvvVbpa61swYu7bSqlvKaWOVEp9A/g+cKPW+h5v1bMxxR03KqWOVUqdCPwfpvL2Amd7ncB5wKeUUt9TSh2ilPoKcA5wufTgEypC1mi1MrdlyarSHYPgi9q3MlXpJokbweeJq3Dj5T7PXRvQzsFsLAex1+41l6/ek32bI/hMSNcczjKFG+EcPjccBebA6/7I9K8f/X4KlaPzFXjw0mDBQK0J573lG6MWtZ4rYpqt4IsH1yknVmA2TfaXtUzx9qWruG2EX//RnsgN9cDvT4BrPxEUYa7D5876jerF17kMbvq6GZWotR8KzSX4KplaUkjwge9YFnT4xn+VLsB7MYLuk97lSuCnmEpdALTWzyulDsX067sGSAK3A1/RWgdOzbXW31NK9QCfwzRlXg2cD3yv0k9E2EzJarxc5ipdFc7hG8NZfqTgK09I1zh8cRIxm8MXdPhsTt8ArsM3BsFn7zvUnV384e2TzeFr8ERoj22+bH/kksPw+gMmNOySHAy+LuUI0wvl559nwCt3mR/5Y3O2c60uY5204Z6M2N6VsTLl70YRNQmieYq5LPZzHz5hGu33+vbvwSt3mutv+TRs+SZz3T1uTXEFXyiP7+Hfws3/z3fK+jt95zGraCM0xcLtP1guXJEWFdIFmLQFrH7SK9qIcvgmTpUuWusB4BveX771HgGOLHKbFwEXjX3vBKEIwi0IuleaL3quM7picPrIlXXSRlQrg3IKvgbjqAH0hASfzekbxHX4xhD6sfdNJ811t6rW26d0yOHL5PBZF+Xmr5sfiaxtDwZFd7hCUKgPrFDf+GpNdyNAUZM28rh+AcFXhZBuVFFDyQ5fWPCN8nu9zBmy5b6OruBzHT7XDU0lTc6t67De/HX/ei6Hz+5vy9TR7XM+XJEW1XgZ/MKN7jf8Y/EErdIVhPGN1r7DN3MncznSB4/9aYzbrVCVblQSdpmqdFPEaYjHMgUS4ZBut/f/gC6Tw+ceALMmZ9gwczCHLyukGyX2wLynrnsggq8+sW5apacllEIxRRv5cvisiFFxX5RURfA5gmjMDt8oq9w3vuZfdyMn7vc74PA5y/vW+mJvj/cHRRNkt1lyBW6lxJTb0D1XmyfbmsUVtbkcvgpOBBLBJwiFcMM3i94FUxea6w9cPLZ8m8BotTJO2og68y5TH74kcRIxlXH4wkUb3WlzEBsom8PnHKTDydvePvkOn3UdW6PXD5McCgq+csxHFsqP/fzUleAroi1Lvlm69nPXPMlPU4hXUvBFjP4as8M3SgHlijz3PXX3Y4pTtNHn5Na6/QR3Oh62OiC47bwOX6UEn+vw5Yj4uK1ZLFE5fOiKtpARwScIhXAPUI1tsN/p5vrGV+HFcHvJEojsw1eGSRuRDl95BF8KU6Hb4ImrIRpIW7EKbEqbA2z5cvhyOADg5/DpeCCkm2kVY1s62JBZ1LbF4at/7AlXpacllMKoHb5QSNf9bFbU4YsY/eU6fIVcpdcfghdvDi4bjTDpXRv8f8hxx6z7lWiBqVv749/WveDc32kv0zEH5u0V3F5WDl8opFsJAjl8BYo2XKKqdKGin3MRfIJQCDd0kWiG3d/j/7/u+dFvN6pooxxVuhUM6Rpx5efwgWIk7v+IbEqZg1j5cvhchy9UjBKq0s0UbbjTNga7/R/SMMnBoIgsJPiGeuGPJ8ONX6xo2EVwcIfN15XDV0xbljzzdTNVs1USfFGjv6zDlx7JLzI2vAy/OQqW3x9cnhwo/Xuw5png/8MRgq95sjnxnbmD+X+tc5/wiLh5ewa3l+XwhYo2KsFIEVW6k+ZlL0s4YtTd7wp+zkXwCUIhXIevoSV4kB7LtIa8ffjGEtKthMPnF20knCbHAMNx/yDXmTRCr1+XS/AVdvjMPsX8og3dGryP+6MS3nbA4evK/wP24s2w9D8mJ7BzWQlPQhg1qREy0zLrSfCNui1LKIev2RV8Zfju5yKTw+eEdK3DB/nz+PKd1JZ6/CtW8AHM2sVcrn3OX8d1+NpnRzh8BYo2KkHmc6myHUZLIYev1Rky1r2ybLsWRgSfIBQi7PApVZ4ZjVEhXbdKd7QuUlRD1DIKvriTwwcw7Dh8G5MmlBsI6Y7lh7qIHL4UcWIxP8wcqBzu78z93MM5fDqVf5STG44qR1seoTCuoKirkO5Y27J4nx/bkgUqN1pN6+iiDevwQf48vvBn3UnhKFlErQ21yY0K6VoRbAVf7xp/DrZ1+FqmmRYrk7YIbi/XpA2oYNGG457mmhnePDkosCGYwzdrZ//62pAoLiMi+AShEGGHz70cy1lj1Gg16/D1rIIfbw83fqn07QYcPu8AVKbGyynixJVfEQswFOHwDQZy+Eb5Gmkd/JEvWKUbassC0OOcLW93JJx0uf9/ciBbROYL67pJ6/XkNk1kXMGXHKxMU+LRUFRbFrftUqgYq5oh3ZEBMi5pVB8+MK7SqieiTzJd9+8Td8DxP3G2XYKI0hpWPhZcFnD4rOvpOXyzd/VvsyLIOnwd3riysMCqSdFGRH5kGKVgxg7BZa7DN2Ur331dU7nZESL4BKEQYYcP/PyLsQg+58frn0+v5Qc3PUdSOflmfevg4d+ULtbcHyP7g1Km0WpJYsTjCqV8l2845h9UN4wYoaeJkbJJ16M90KaGgz+aWQ5f0HW0VbrdbkjXDY/s8g7Y7WQyInhkMNvRyyf43DmiIviqQ1hY1cPrnkpmV+BGhWFdcRr3ToDs/exn2XX4KjVLN1dRgevw/elkuPRgeOSK7Pu7Dt+c3UN5cSUc/165K9vhC1TphkO6ruvlhXWtw9c+279tprNeuLGyK8IqFdKNyo+MYmZY8DkOXyzmP9/wa1RGRPAJQiHcH50sh28MZ42Ow3fev17k0juX8fyaiINSuLKtEJn9Vf5BqGwh3XjG3bOXgzFzUNXxRoZpyNwlFR+jKA6/tlk5fEHXsSFqvq8r+GzIxb53yQjBly+05Y6WypUXKJSXcOi0HsK6gX3wTh7yNl5WQfdO62BbFktmnTK7mLmKCsIhRoAbz8xeZoVYY4cpphhtXtyd3pSUhlY/Zy3QFikk+CZt4Y+CW5PD4QN49+/MCfjcPWDyguBjBgRfhU4WoppaRzFjx+D/4R6CNoS95tmKFYWJ4BOEQiQjHL5yhHSd0E3a+yq+vinih8NNVC6GzCDxFv+Mt2yNl/0KXV/wmQOdDnWZT8Wbg/tTKuH75XD4ksSJx52Qruvw9azyrzd6booNpYSrdKF4h68ehMfmQD06fG5ov32WucyXwxeLB+fkJgd9gRgI6VYohy/XrFfX4cuHPQmy649G8L3+kD8Xe/Fpfi9Tu29a+4LPviZKBV2vdNo/FroO36yd4WvL4OO3G6fMJdGE7+hXuGijoODLE9IFmL3IXA5tgk1vlGffQojgE4RCuAeKjOBrzb6tVJzRainvq9jU1JS9XqmCzx3ObUNJZW68DGSqYp+dfAgkmhnY8aTgbsSs4BulOAonWedw+NLay+ELN16GbIcPnHB8iSHdfue2ehAemwNhh68eXndX8FmnKarIyjp8Kh4Uc+5nLlC0UaFZurkaAzdNJiOG8hF23kaTF+fm7u3zST9fzTrlIwO+CLaPA77gW/eiOeGyYth1+MAUo8Qj2i8pJ8pR6ZBuvhw+yB/SBZi9i3+9QmFdEXyCUIhASLeMDp8T0k3mE3xu76lisEUmAcFXJodPx4h7Z9FW+D3TsT98YznrDvxOcDfG7PCFfkzC1YJuXqHyW8WMkPDzB13B1+T9yNj3MCqkm689RaBoQ0K6VSH82akHZ9Wd/NDuCI9wXl/A4fPEiE4FnWpX3FSqaCMw+ssRfLFYMKQM0WFe+52wt43G4XO/ux1zfcFnq3SHcrwm07b2bt8UbA/jOnyFsPtbqZOFYh0+d3oI+MchyyxH8IXb15QJEXyCUIiAw2dz+Mrh8PmCz4Z0dVST4JJDup5AbWh2+vpVwuEzl6m0hkQTg8lg7tFIbIx5juHXNmcfPm/ShlM5nGzwnJNASNf7kUnkyeGToo36IsvhqwOh3e8IPtdpCp9UWQGo4n4rk3TKb8kCIYevQjl8uUK6EC3wwmQ5fI6TFdUCKt82GlrNMakp5PC5gtAVfFO39q+7jZ/DDl8+ynGszkexgi8WD/4fdvhap/kzd1c/VZ59C+9CRbYqCBOJvA7fWPrw+WfyNqQ7rOPZ65Xs8Hn7m2gpY0g3KofPc9RSJpQ1MBwWfLZKt1wOX57Gy/FgM+hkoj17GxnB5+3X4KbsBrq5BN9wf/BzUKmeXkKQrBy+OnjdXYfPbagbLtzIOHyxPCFdx2GLOz04y4n7HQiP/grn8Q1uyq44Dgs+V6iU6vDZbYRDugHB5+yTzfUDWP6gf70kh88Kvgo7fIVCumHCOXwAW+xtLl+7tyKFGyL4BKEQgbYs1uEbY7gSAiFd6/ANpyMEX8k5fFbwNZU/pOv1vAPX4TNOxuBIMKQ1PNYcvoIOXzqzT25bFoDhxslkYc/ArVh3f7gtuap0XXcPxOGrFmHBVw8hXevwxZuCginL4YvK4QuFdF2Hzx5bhnrK+2OfK6QLEQ6fzv4OZBVtjKLVSbggw+7HUJTgc0SwK/hedwRfSQ5fGdJv8lFsWxaA7Y7yr4cdPoBtDjWXvWvGNrYzByL4BKEQNmyhYn6ItCyTNnyBlMT8IAzriK/kqEO6LWUP6aa8ilgg4/SNpM2PUzikO6zG2IcvyuFzfwjdKl3lV+kCDDZOC23MmY5iD7R9Ee1ucuXwufl7UB+hxc2Begzp2qkPbTOCc5rDuXdROXxhh88VN9O2MZcj/eUdrxUo2gi5UFGiw20/lEr6r/lYijbCDp8VuqkhI5RzhXSbJzktXDyh3DK1OHFlseuWGikphnS6NMF34q9g15Pg+J/6x2aXrQ/xry+7szz76CCCTxAKMeKESG1nd7eX22hxHD4b0h2Kcvh6SnX4ooo2yhPSTToOX4MnsFJeSHdwOJfgK1NINz0SfL29fUpjCkkaHIcvS/A1tvktG+yPnCvi7KSTXCHd/pDDVw9O0+ZAOEesHkK61uFrmxH80c7n8NkcPp0KOtVuSHfGdv71DS+Vb39zNV6GaEfb/V5EhVoDgq/I4599zpmQrjvyrDe34IOgywew5T7FPaZlwb7mcs3T5c+NC6SMFCH42maYvoFvPjX69hnb+2kCr4jgE4TqY3903Koq6xYlBwNOXUlYwaIVtj3CUC6Hr5QQj3VFAg7f2EK6WgebHIPv8CVtSDfk8A2N2eGLEIpuOMwdrRZXmTYxAP1Zgs/pERiujgM/WTqX4JOQbm2ox8bLfevMZesMv5UKROTweceFWCJYkJErpDt9e//6+nIKPs+hSzRnty4JO9cQ/Ky7gtAKsVjcP5EcrcPnfh+H+0oTfFbAFcteHybTfiZqkshYCIjpEnP4olDKd/levSd6gssYEMEnCIVwHT6Le5ZbbKVamEyY1AlFpiK+kumRbIcpH1YoBXL4yuXwxTNtWayjlrQh3VAO3yBldvgg6I44VboxpWhwqnT7G6YH7+eefbvvo2XKfHOZM6QbFnx1EFrcHMgq2qiD1z1XSDf846zdog3ve512HD5bsWqZtIX/2Ryt4Hv5drj0EHjmen9Zvj5x89+SvSzg8HX5110hVmpeXEbweY5mkyP4hhyHL9aQHWYOC76t9i/uMTP33wq2O8Jcf/Kq8p6sBaaYtOderxS2PthcDnXDo1eUZ5seIvgEoRD5HD4YvaDR2YIvMqQL0FtC/kklqnRTfh++RCiHL5mjSjcj+FLDoztTLeTwWcGcabzsv459ianB+wUEX0R13KQtvMfsi97XLMEnDl9VyMrhqwOHz4Z0W2cEHbNcOXwq7jRVHvIFn+vugRGFNqw72pDubd+FVY/D1R/1U0EybUMiBMkR34bt3woHfcVfliuk6xaolJLDrLX/vY10+HqDDqBSwfu7rVkA5u1V+DHDvOlj5nKoG577Z+n3z0Wg5U0ZHD6AnY/3w7o3fxNWPFqe7SKCTxAKE9VnKdCaYJQ/QhEO30A6x1eylIRjK/gCffjGGNKNasviCaxcId2+mPN65ZtRm4soUeX0MNNpP6QbrtLtawiFdN0f14YIh2/yFs5jdGffnhXSrQPhsTlQb1W6w/3+PrRNzx/S1U7Rhi086NvgF224+XsWG9Zdv3R0+7fSEQdLfuDtsz1+RQiSjjnwwavh8G+ZqmMIntzkCrWWksMcNUUjn+ALE3b4ok7YCrHD0dDiHROeuiZ4W+86WPtc6duE3FNMxkLzZDj5t+ZEITUEV7wNHv9LWTYtgk8QCpE5YOYQDaN1+CIE31AuwdcbUVGai0wIuvyj1VJu4+WQwxcO6W5UjstWaqUxFOHwuUUbKlNEAtCT1+GLyOGbtKV/PUrwicNXG8JFAbUO6bpNl1sLFG24Dl+H1zeud7UzuSJC8M3wBN+m10d3XGmb5V9/9A+w4eXiGgMrZRr/Ajz9d7j249C5LJji4LZwSZQQ0o0Sje6+DPX6J4RRr4kr+LY6oPDjRRFvgF3eYa4vu8MPyw9shF8dCJfsC7f8T+n52O7nMVwQMxa22h+OOR9Q5gTj+k9nC9VRIIJPEAphz8jdg1QgpDtK18FzANLFOHzFhnS1rsxoNR1008B3+DJtWUaCDt9GNcX/pxTBarE/Jsp5TSJy+JJ20obj8PXEw4LPcRTCgs/9QYbs6RsQ4fD1VqQxqhCi3hovu70b28JFG7ly+OL+CLa+9dC13Fx3mzZbMoUb2oi1Uking+FYnYKXbil+EoR1IbvfgKeuhhtOL+zwFXPsi6pKdh334V4/Z3HKguz7T94Sdn67eb3eflHhx8vFbieby3QSnr3eXL/7Av/Yet9FcNNXS9tmqVW6pfCWT8KHr/OF9j/OgLVj680ngk8QCmEPmG6i8WhaE4RxxpVZBsJFG/YHpdi+XKkRf6RTWUer+QUSYYfPb7wcFHzrcR2+0Qg+Gzqb6S+LqNK1++SOVutV7cGE+oBYDwm+po5geC080QOyqxl1auyvqVCYeqvSdT8H4Ry+Yhw+NHR6Qm7SFmQxw63UfbG0fRvsCrR6AmD5A35hQSEHqjWUBvHaveYPzHMIfIdG6/BNMZfuCdimN4yjCTBnt+z7KwXv/SN86blg65pSWbC/X43/0GUmjPvgpcF1Hv5t/vGKYfKNrSsH2x4G7/oNxunrg18fCv8527xmoziJF8EnCIWIOkMuh8PnhCQtA6lQwvL0bc3lphXFbdN1RCowWs2t0s0O6QZ/bDqV4wgUCun2d8Jjfwo6KPbHxA1TBRw+PyQejymU8kVfUhMUioGJBhEzLN1QUjEhXZCwbjWotyrdLIfPLdrIM1rNOnwuk+ZlL5vuCJpS88qiJscsf6B4h69lWvayl27xbpsSLKYYteCLCOm+/pB/fXaE4LOEizlKJRaDN51irq97Dn55gH9cPOwsc6nTph1KsVRa8AFsfyQc7u1fcgDu/Rn8dFcTii4REXyCUAj7I9OYy+ErX5XuQDL0lbQuQPcbxW0zIPictiw6Paah7Crth5/Do9VsW5aBUA5fV6rFTwSPmmrh8o/Pww2fhRu/6C+zQrqp3c+fjMjhcwtJApXDbTP8dfPl8M3eNejwRYZ0vbN+1yWptfjYHKi3Kt1ADl+oaCNXWxYVjx4FNnnL7GVN7X5Yd9Xjo983O8Krd7XJxYPCVaSt03PfFi6msCdQG1/1x6PlIqfg8wTc8gf82+csyr+tsXLQl/y2J/b9Wfxx2O90/1hZyoSLwJziMlXpRnHwV+GUf0W30SkBEXyCkI90OrqtQVmKNvxZsJb+cEjXVo8W6/C5++I2XoaxuXzOpI1MDp/n9CVT0SHd4bT2h5znC+n2bYDnbzTXn/uHnxvn9g+zDlyEw5d0wswNNq8wpYNFNrneO4A5u4dCupuCt6dG/Me1/fpAHL5qkDVpo8avuXXRYg1GvBTTliUW978HLlEhXYB5e5rLlY+XlifqOnw7vz379kJ94qzgAZi7Z/C2cNrKTseby8EuePBX+bcbNSdXKX9/bOV985Tcr0m5iDfAu38PWy42OYEnXgrH/diIYSumSplwUQ2Hz7LwADjtFvjkEjj4a7D4EyVvQgSfIORjpB/wDrpROSyZdUaBdfh0npDuZE9g9K8vTli6johbtAGjF3xao9x8uXioSjdH0cZIKg3tXlg1X0jXJlBb7Lr2+Ta0+ILM/ng4+2RHq4HrOqaD71E+h2/O7vlDum5Oz2RX8ElrlopTrzl8rdOMaCmmLYvKJfgiQrrg95nrWxudu7vmGeheFbFvjuDb9rBsx6mQIHGbCO93Ohxxtv//rJ2C6+7yTpjtuXH3XZS/MXyuwo/w/szZbexh22JonQan/cfkBO7xPv8x7YSL9S8WnzNtBV+i2Qj7ajBvLxPi3efjJd9VBJ8g5MM5g1veG+MfT6xEa12exstOSNLSHxZ87hlvMQch1xHJEnyjrNTVfqg2qd0q3fw5fMPJtOPwrcu9/aevDf6/5mlzmc/hy9onc926jsbhc96jfFW6c3bzDtieWxMu2nAT9QMOn4R0K05WDl9ftOuVTpnQYFQ4vpxY8W/z3fK2ZbGj1eKQaAyFTFV0lS4E3bVwWHfZEvjl/uYv7Ha6Dl/7bNjyzcHbC4Uc33yaEaeTF8BOb4MDvwiH/49pWWQbF1tiMT/vbXAT/Onk6GInezuYY5H73WsKOY5RBRuVQqlscbnNIf71Xx0E133GzN7N57IWmx9ZJyQKryIImzHOj/pP71rJdenHSKXTnLjIOXiPcbSaW7QxrENfSbch8KY3/CKOXLihF7dKF0bv8DmhquAsXdt4OboP33AqDe1ewUUuh697Jbx2X3DZ6qdhuyNzOHzd0fsUHveWSgd/4ByBmFWlO2meOfg3TTLtV8KiwXUvJktIt6qEHT6dMsvC7+HdP4E7zjO5ax8ae7+ynFjBZytai2nLYtsKtc/xTx7aZxkRGMXc3TH5bRpWPmby//70HhPqtd+VgU5Y9SRstZ9/Pyv4miaZ/N03nwav3OXfXkjwzdsTvviMyc+zJ0sHf8X8RbHjsbDrifDMdbDiEfjbB+HD12c7XZnJIpOCIqttJmxwGkzPrnD+XiHm7W1EeM8q45Y+8Wfz1zLViNE5u5vLrQ7wT/wyJ6XjQ/CJwycI+XAEXz/mR+aCW14MTdooX9FGUocOlq7A2FRE4UbA4WspT0g3IK58h6/BDZ+Sw+GzFbb9G6JHlq15hkzIPLPMc/hsyLSxLdvhC+1TZCFJrrB7eJau/RGKyhOEYA8+t0+YCL7KEzXJISqse8d55nLpf3I7TeUg4/B5LYdccZOrLYtdx+31mC9XranDb8+y4lFTyNS/HpbeGnzu60JVvJmRb97J6K7vhH0+5d9u0yvyMWlutvOWC6XgpMtgx+PM/6/cBff81DhiKx6BF272xqrlmKJx1Hdg1i7etmJB8VoL4gn42E1mv3Z8my/UBzaa53b/L+C6T8GFu8NVH4H7L/Zb54jDJwgTAOdHvdcTfCu7BszBrqHVHIBH3ZbFFm34PxojznUSzcE8n+4iCjdcR6ShTCFdR1wlyZ6lm7KzdCNz+GxLFW1+kMLVim5YdNKWphp59dPmhyJz9hzl8PmPlSRGzIrQTEg3bWaEPnKFWckNk7mRnClb+ddt5WFWSNd1+JzKyhERfBUn41h7jheY72S4Z5zL8gdgh7dWZn/sZ8EKvniROXwQbM0yuUBxwry9jJh4+bbc64TbtliHz21HdMz55jvYtdyImHITb4B3XQ6XHmLm/97xPdPLzh6rjjw3t+Cbvw982uv119AC07Yp//6VyrSt4YAvwAGY6uYX/22OR6ufME2P016f02dvMH+Wcs3RrTAi+AQhH47g69dG8KWtIdXQ4gm+sebw+QrEDe/S0GL+Wqcbh6wYh28knMNXjpCuL66C4VM7acM6fKGQrpvDByasmyX4HNE0fx945g3zQzfU4/9gNrQUcPji2Q5fShvn4ejvG9E7f7H/OB2OiN7vdP96k/eDlBXSdXP4xOGrKtbha5niu2vh1z1cPPPq3ZURfFpHOHxFjFazuaHFOnwAu70bnvyb/3+iJTt1JKfgc9oRxWK5Q7LlorHNiL7LjzSCyD0xvfdC/6Q1ak5uLAZbH1TZ/Rst07aBfT/j/58chtVPmqbNz98YPFnd4k3V379RIIJPEPLh/Pj34YdxB0dSNJcyTzKKiJDuEM4PiG19MGkLIzqKcvjcPnw5qnTXPGtmZe5yAhz6jcLbDLhpUZM2jAIeynL4tOPwEV244f5YL9gXnvm7eV1WPuYvb2glY8ulho3rExChEa1i0mnjwu73uezHnDTXDCfvXmV6cFkKhXTjTUH3RARf5bGO9aQtfLHV9VqwatT2mbOU0ji3FEb6zTB7yOHwhfpc6lBI13X4Cgm+7Y+C9/8N/u/LppfeSZfCs/8w34+mSaYdyppnjAi1KQnhkG41mbcnfOJ2I1I3vW5Gpa191nx37Pcnak7ueCLRaAphtnyzed37N5jP4siAafMyDhDBJwj5cH7U+7Qv+F5e18uupcyTjMIp2mhuiDE4kqaXVlYf/EPm9D4Db/XykibPN2eWReXwuUUb4T58ngPx5/fCpuWw9pkiBV90Dp8VfCMpjdY6K6RrHD5X8EUUbrhnyW7YdZ0zM7KhNShcXfePYCGJzSscSRXoX7boXdnLwmFjS7+TqB9vMPuSGhbBVw3s53mrA8xnIp2El++AHY7213ET/8FUtg52l19guO15MkUb+SZteI63zQULOHw5WrK47HiMEX6Dm8zj7XyC6Rv34C/hlm8ZIdW3znzHrACBoMNXTebu7hWcYI5tF+8TfG+iHL7xilLmdY54rb9747Os7h7k+yfuxuSWhog71w4p2hCEfLiCz3H4XlrT64wXGuUsXe03Dm5r9H841u7wPjjh5/4BspTmyyNFOHyblvvLkkWEeXMWSDjVxal0plrXjrQdTqXRriMWJfgyYlmFKpJf9683tIYmYXRn5RXG48F9soUkJWFz+GwjWIt1KGwrDpugLYKvsqSSvrBvmwlb7mOuL7sjuF5Y8Ol0cHpDuXBzOaMcvnBIN+zw2QIFKL4iNRb3xaVSprBg1s7+7WufNZeDXf53orVGgs8lFodD/19w2by9a7MvVeT1zn5+c88r/N+Tq/jEHx6u9e5kIYJPEPIx7IZ0/erOl9b2+G0OyuDwtTb5xRpDyZBYseGf4Z7sKRBh8vbhixB3xfSScwWfjmeNMQPoHfTX6Wj2fwRH4m1+y4Ke1RGP71TiurM8NzhhuvCs28FNgX0KjHuLFenwRZEJ6fYEe2+5zXbBfz71JviG+017kkqFNKtN4LPcBNsebq6vez548rPhZXPp5tOtf6H8++M6fC1RDl940ob3vy3amLkjvO8v5i/cyLgUZu3qX//DO+C+X4Rm/BZRjVsNdjsZPnmneb6n/hv2/mit96ji9A75n4GHXunk+dUVrBgfBSL4BCEf3o96SiUYcTIgXgw4fGPrw5fSsYDDNzSSQ/BBdId9lyyHL48DAcWJ1VBFbCLU8w6CB7pJLf5zGUmlYapXCbvx1extZ+YUt3khaG/27oaX/HVap0U4fM4+aTekGxz3VhL2MXQ6KOass9Madvgq3OS3VB79Pdx2Lvzl/aN3neuJ8NSYbQ/z/3ddPuvwbbnYPwkrdhRhKQxEOHyu4HNPqFIjpjIWgoVKOx1n/sZCxxwzhsxyy1mw5Af+/201yOHLxbw9zfNdsK8p0JjgDIdO1n90cwVOPMbAxH8HBGEseD/8w7Fg2f3Stb2Owzf2oo3WRtfhCyV/T3I68vcUmLZhc57iTeYAG3b4wg5hMS5VOF8u4/D5hw9X8HU0+SJzOJn22y10vpy9bXeahlK+qOp8xV+ndbofbgWTn+UIvjQR0z/So3D43MdwCzfCIV2bFN/nVO/WA6ueMJdD3WZCwHgnkI/abFqV2DSHlx3BZz9X07f1T46KKXAqlagcPqX8EOqzN/gpEute8AXgnN3Lux9KmWIjFSNTzGSn1TRN2ixCp/XKcOhE84k3CkRkqowIPkHIx5BxoIZiwWa9qzYNoG23/1GHdP3Ram1NjsMXDum6I5gKOXz2R9I2hg4Lvq7Xg+uXGNJNOrN0Aw7fYB6Hzwq+ja9mN1/OjCbymr1a58RNgG+dnj3rNkdvwMBotVJxk8ptdXY6nT1dwTo2PaH3YmQQnvsnvPSf6PB1pdngCOoV9Zc/VDJhhy8W9/P41nnOSX+nH3Kfvp1fDFEJwReVwwew/+fN5foX4aFLzfXVT/q3zy2z4AM44n/grDXwjouDy4/+Xv4ehUJFCTt84c4FtUYEnyDkwxNEgyHBNziSJhmzgm+MId2CDp9T0VfI4cuMI7OCzwnpDnb7YSZLuIdZ5H66+XIqOofPDek6OXxDybQ/Di6dDBZjgCP4PLe0JfRjFWswYtAN6Q52R7iOwTBzalRFG6HHAJMMb8ey2X2z70fP6mCu3w2fhb99yMwV/ekiWPdi6fswFtzihTf+m3173wbT2qOY97weCLQY8kL907Y2lxtfNa+96wRP39ZvjF2RkK4n/BMtwSku+37WiE2AJT80wnCVJ/jiTTBjh/LvC5g2IXu831Qwg2k0vteHK/NYQlGEBV+4c0GtEcEnCPnwBN+AU6FrGcT7ERrtLF1PSKQJ5vCFDxqm8fAUc72gw+e5Itbh65jnC5n//sb0jXIpJqQbcvgy+XI5QrqTnFYExuFz5v+Gw7rh4eMtU4K3t07359xaQg5filhmnzJVumMp2gC/UjcQxvNCudbhSw4YQQhm7JUNq4FxKJeHZgRXkv7OYI5ZlOC79lS46sNmGsJ4IJyPCjB1obkc7jHO3kZH8E3d2hfjvWtGP1kmF+Gmy5l9a4Sjf+Dv130X+Q7frJ2DJ13lJhaDD1xlCiPec2VwVq1QdcIn68m0NsfAOkEEnyDkwxMk/bRk3dSvG/x1dOkCQ7sOX74qXXBCVYVy+DzxaX8gG5ph/zPM9TVPwYOXBtcvKqSbK4fP/3HpGYx2+IZTjsMHwepbCObwQXY4yoqseMKvjg3l8CXd+b62SncsbVnsY0AwjJcJ6bo5lauNyP7XV739dELovWtL34fREm4+3LU8+PjpNCxbYq7f/4uq7daYiHL4rOAD4/K5Dt/UhU6Bk84OuY+VcGjfZfujYP5bzPUHfmXGhUFlwrlhmtpNYURD9kmpUF2ijt315PKJ4BOEfHiCz/bga3NCr50N3g9/atgfol0KmRy+eP4qXfBFRq6QrhU41hVxD/77fsZv1eA6IjC6Kt14sEAC8lTpJrWZMGCnkoSFSa4cPov745ppm7IpS4SG92lUDl/ARfRy+AKVmaEcPjCi4vE/+8/ryHP8XMBqCr5wLzqAN5w8vq5Xq7YrZSM8NQaMi2fZ+Kr/eW6bZYRPoKK9wMlRqYTn6LooBYd901x3Hf9yF2wIdU1WdAYYHBbBJwjjA++Hv9ebsjF/ml+tu7zNOZi/Vnr4LuDwuYIvnMMHfqVuVEj33gvhB1vAo3/wW5+4P0pN7XBQjnmaJYZ0XYcv4YZ0c/ThG06lTNgpV6VuoRw+V/C5kzBCId1YKKQ7pj584FfpFnL4Nr0B9/7MXJ88H/b5pD8/OKrRdKXICD7lT3ZwCzfWPFu9fSkX4aIN8Fv8gHH37OfdOn+B5t1FTKYphVwhXcvWh5j5zS5z9yjvPgh1TbhKF8ThE4TxgydIetImpOQKvpdj8/3cuuX3l75tpy1LU0MsM6EiMqTb4YV0+9YFc5O0hvsvMU7dref6DWe3OjB4/zd/DCYvyN5uUSFd//FS2u/Dl9Pha3bzET3hNd0TfBtCgi8c0s1y+JyeYu6s21Az6EQopDuqSRuNHdlOpFvtaV1S1+G7/xJfdBzwBZOv1eaNk+uLmB1cKezrOmW+X0Cw5hn/9rXPBdcvZsJKrYly+Brb/NfXDenaYg63wCmXw/fAr+DXhwbnNRfDQB6HD4zL954/wCFfN/35pm4tgm8zI8rhE8EnCOMFT/BtSpncrBntTbQ0mLBuZ1/SNBQFeG0Ugs+ZtJGIKRoT5usYncNnXSUdbPnR9ZoZrg7+8HSAbQ/nyTe6OPWK/3Lbc2tMDlTU3NxiKjaHfFHYR3PWLF0I5fC1hHL4wHf4ul7zW7Ok077gsyHdXDl8EHT4dHQO35iKNmIx2OJN5vryB82lFX5tM33B2dgGTV7Ydt1z/u17fchct/ODa+HwTd8OZnuTGAKC75ng+tUUo6PFPRmxOXzgu3nrnvNTHGyot3mKn+sZ1ZpluB9uPduIvXsvKn5ftM6fw2eJN5jQ7leXwmcfCO63MOGJEnz9EtIVhHFAKpnJx9mUMgfutsY409uN+NvQNwwL9jPrblpeegjJc6mSOkZDPEZTwgjJqINGxuGDYDK6FSYuzVPombYrJ/ziXm5/fi0/+rfn+u3xPtj57TDFcfqKCek6TYi7aY2cpduXoy3LiH0u09zWLF5rGDd/sLFUhy9/4+VRV8Yt8BLv1z4LA12+4LOC1eI2wwbY9SS/VUdG8FVJVGnt7Oe2/uitTa+b5wDZId1qitHRYkVsLBHMzbNu3opHspcplb8X37IlvnO4/P78xVbpNPzfl+HqU4xAtq5yLofPpWWqFFFshkSdrOfL4RsYTpEeTZP4UVITwaeU+rhSSiulsuJJSqm9lVK3KqV6lVJdSqm/K6W2ybGdzyulnldKDSmlXlFKna2UqmANvLBZMeKLoS7P4WttSjC9zVxf3zsEW+3vr1+iy6cdhy8eUzRlHL48OXxgwljWJYsKJW9zKD+8xR9N9vxqrwAhFof3/hHOfMqZz1uE4HOmc3Tr1kiHLzBpww3pWuEVVanrPnamLUvIPWnJlcPnOnxuSNdz+EZ7EJ3vObZoU/RgQ6VuaxkIhnUBFjohdCv4hnuq0/NuYKPvhk3dynf4wIRyk0PZRR3VLCgZLWufN5fTtjWtTyxupW5mmVPMYfP4onrxvXiTf71nVfS4P8srd8J/L4dnroNb/sdfbkPKghCilJDu0rU9vPm8//CuX92HHkWXh9FQdcGnlNoC+DGQlWChlNoJWAI0Au8BTgV2AO5WSs0MrXsWcCHwd+Bo4BLgm0Co9bgglIDWsOR8uPNHgVBmv1OlO73duH2dfcMwd09/OPraEhPjnRy+REzR1OAJvqgqXdfhuO6T8OtDTB7W69kO36Z5B/HHB/wGyzPaG7PWyQiskWIEn+/w9boOnxvS9QRfQ1zR4lQyj4RDuuC7Ue5j2zBcPofPFkP0rYWXbsksTjkOn71MpfXoDqLzF5MZV7X0VvNY4OcgWjpCDp9tfgtBQdBXBWHlhmfb5wQF35qnTQW5Dv3ojAeHz4bLZ+0UXB4l+KY5gm+S13x51eNww+fgP2fDczeak6QXbwneb/kDuR//pf/415/8q399m0MK7bmwmVJK0cadL66nbzjFY8u7WNszFLlOuUkUXqXs/Aq4C+gETg7d9h1gCDhea90NoJR6BHgJ+ArwdW/ZdOBbwGVaa68WniWeu3eeUupnWutxWJYm1Jw3/usPInfaK/RpE65rbUowzXP4NvQOG+ehebJJ6LatPIrFKyxIEaM5pjIh3cgcvtbppsebnc+55ml4/p9+Mv7eH4GltwGKV2YeDvhJ+pEC0hZJlBDS7dXNkeFTgN5BU9jRnIjT6IR6M8+lY655zJF+v1I3yuHLyuFz/t/rg3D/xUYoPvybzGJX8Lnj3kZSmsZEiY1oW6aaZrlrn4Un/uwvz3L4HME3Y8fgwHorTME4aVECpZy44q19lgnZN3YYh3H1k8apClMNIToWhnr9qTAzdw7e5gpaS5vjB+xyAjzxFyNyH/tj/sdZfh/s+f7o2166JXvZFm8KFoYIgkOkw5cjpOt2NhisUmFHVR0+pdSHgEOAz0bclgCOB661Yg9Aa/0acAdworP6MUAz8LvQZn6HOT1/Z1l3XNh8cEeP3X1B5upqbZwnN4evs2/YuEi2Ya+T61YMyunDl4gXCOkqBTu9Lbjs1nMBz8Xa+QQ443H4wuP0xScFVosUkLZIopiQoxfS7cGEc5VtgRIxaaO5MZ4pPgHH4VPKd/lsmHQ4Iocv0eS7fRB0+KYuhGO+n7V7SbdVjCM2R1WpC34DXSeUHQhJQ9CJDDtQ7Y74qEbo1H2M9lnmtZ69i/n/0T+Y+b4AWx/sF5vUe0jXVptD9us7dw9/fi3AnN2CEyZ2OBo+dZd5vrEG34HPoGCmt81H/wAP/w761gdX6VwGG14ii/B3UBAcInP4coi5nsERZ53qTOOomuBTSs0CfgZ8Q2sdld2+LdACPBlx25PAdkopmwW7yLt8yl1Ja70KWO/cLgilobK/EsmmKTyizTzM1kY/h284lTahTJtbVqrD54R047GYI/hyfPnf9Vv42iuw3ZHmfzsmrXmyKR5JNEK8IesAM5xKkwrntFlHrZi2LJ7w6datmRFmEJql652tNjfEAg5f4IzXht2iQrpWgEJQTIUdv70/mhVONSFxr1VMLOjwjQr7+rqEizbcWapbLg7eFnD4qhA6DQg+77HDLtisXc3orY4a9AgcDescwRd2+ADeeh686zem/dBhZ2XfPmcRfPSf8O318I3lZvTZTseb9/b4n5giG8uNZ8KFe8IVx8OvDjQnek84IdyYEwjb6fixPjNhAmOPd5OdTgW5Qrpu3nO1HL5qhnQvAV4Afpnjdnsq3xlxWyfGuZsKrPLWHdJaR8WjOp1tZeEJz5mhxdtGrStshkRMntg4/yhSm4xL0NYUZ3qb32qhs3eYSbZ6dLA0h8+dpRtoy5LrbC8WMwJop+NNfplln0+Z5soeUQeY4WQ6kFuXcdRKCOlah8/S4FbpemGL5kSchiiHD/ywqG3N4j62DTEDtE6F7jdMCNsVgmCcnFk7ByqVgyFdx+EbbaXu9m+F1hl+m5u2WcGxawC7vduElxvb4E0fC97mhher0f7EirdYwu8LueU+8PBvzfVtj4B3/tLMKW6bZXL66t3hs6kKsUS2u2rZ7WTzV4imdtjvs+bP0rkMHrjEn4U83AOv3m2ur3Z8hI65RiQ+diXMXgQzdij5qQibDzY6M7mlgU0DxsEbGI4+DvVMVMGnlHoX8HZgL104kzrf7TrH9VK28Vng7AL7IGyuRIQ4V887Ep4211sbE0xv9z9eG/qGWDjqkK51+JRXpevl8BUSKjseBzd+EdBGKL3l04Gbo3JGhpKpkOCzRRvFhHQ9wadbAg6aK/4sLY3x3A6f/eFOJ43oC4R0nTCudfhap0cPg5+5E7x8e+bflI5H5hWOulI30Wha2NiZs7FwSBAjnj7/qNm/8D7GG0x18UDn6Jy0VBLu/KF5TQ48s/D6VlS2zTInBWCE0HAvTN4SdjjG38da9AgcDeu8Ct3p25nXs9xM2wa+8pJ5jVY+anryDXaZz6QN5cYbTRPl3d5tRqRtf1T051EQPOzxrtU7Dg6n0jkdPrd36WCuqE6ZqbjgU0q1Yypnfw6sVEpN8W5q9G6fAowAG7zlUe7cNIyI6/L+3wA0K6VatdbhX6xpwCPk5hLg6tCybYEbCjwVYXMgHOJsbGfFtH0B07i2rSkoaNb3Djs5fKWFdJX2+vARp8HN4St0ttcx2+QSPX+jme7QFvzKRJ0tZuWIZHL4Sgjp0kbcEVTu62BpTpjnopQpeA48bqBS95XgY7uCb9o28Mpd2WFUy8xgTleSeGZKSUMsh7tYKnt+0Bd8uZL0Y9nPP0P7LE/wjcJJu//ncNf/musLD4Qt35x/fSverJgDI5L2+UTEftmQbgHn8b+/MU7gkedWr5/c+pfgtXvNScyr95hlofe6rCQaITHNOHg2jJ9KwlNXmVY2u7zDTyl4yycrtx/ChMFW6TYmYjQ3GMGXy73rdXL4chV2lJtqOHwzgNnAl72/MBsxYutkYADYLWKd3YClWms7a+cpZ3mmL4VSao73eE/n2hmt9VogcBRWctYmWMKO11s+TU/Sd3jaGhPEm/3PS2ffsJPDV4LD5xQUpLWXw9eQp/FymJMuM2GpiIrFqATgrEKQUVTphh2+9ubsw0dTQwylFO2NCXqGkoE8lUCla+fLfsWxuz8Ah3zDtNbY5YTo/QmJABWL+YUkrsM32hw+MEUPu54Iz/8LDv1m4fXDtM8yLlWpgi+V9IpxPN74bxGCb63/mMXsF3g9AvuM0LZTJFqmGgdr1ZPwf18y63XMhUXvMlM75u3l5wCWm+SQyaGzU2MAUEZ4V5N4Avb8QHUfU5gw2GN3Y9zMR+8eTOau0nWOjZGFehWgGoJvNXBYxPJvYCp2jwXWa62TSql/Aicppb6mte4BUEot8O7/U+e+NwODwCk4gs/7XwPXl/cpCJsNNszY0AZfeQEa2+m//7XMza2Ncdqa/K+NEXyjcPicvmiZPnyFijZcGltNYnoEUSGEbIfPc9TSSdPPz21sG9hP7Yd0Qzl8kyIEnx07194cIfg65vitWda9EBQorsM3aS4c8tXo/QGYuWNwF52kerdCOKonVkm8+wojREYzHss6aWufNVMubNVsIZ69nkBGyuqc564+JQk+R7Dd8X1Y9YQZMzbca4p/tj86+PhP/s3kulkXcdHJcOKlRhiVg3UvGLc3ORgUe7GEeZwd3lqexxGEKpARfIlYJoWmqJDuRMnh81y5JeHlSqlTgJTW2r3tbOC/wI1KqfMxrVe+g6m8zfTI0Fp3KqXOA76rlOoEbgEWA+cAl0sPPmHU2MrRxraMkOsb9r+YbU0JmhtM65HhZJrugRFo9wRfarh4gRAxGswKvoERM27nwVc62W5WOzM7ShMcUQeYrDNItxhiuNeEtqIYGYC0CT1067ZAK5ZEPEZ7UyIg6pqt4PNEsdtrCqVg3t7w2j1mesFu7/Y21BydJ5eLlimBf5Vz33ZHjLsH1FEz2lmoi94FT11tXtsrT4RTbw42B87FA5cE/1/9RP710+lgDl8h3H2wIWvL4CYTznQJNxN/+hoT5jz2f837OTJo+hV2zIUdjy38+GBOqtY9Z8L2t303uyn0234CW+xtHEVBGEcEQ7r5BV+wD98Ea8tSDFrr54FDMTl91wBXAEuBg7XW60Lrfg84ExMKvgX4PHA+8Lmq7bDg8/p/4f++4rfcGK9Yh6/RDzH2D5kvbEyREWW27H7TwIhxRizFVuqm/S970nP4bIi0dzDJtY++wfsve4APXp5nEkAOoos2wg6fE0LNF9Z1wtQ9tGQVaoRdvmZvWoh9Lq5YBmDxqd5OdsIjV3j70sZYcB2+SU47hG4nR6bq7HgsHPUdc713NVz5TuhxHCytA6IfgI2vBefDghkvlszThX+g0xdM7UWEW+fvC0d915+nPGkLU2V85Dn+XOhczPYc5Yd+DT/aDv70brj0YFNA9Jf3wQ2nw+sPmV6WyeHs+6eS8ORV8NNd4bLD4dZzssXe3h+FxaeJ2BPGJbbDQmM8Rot3LIxy79JpTe/wBHT4cqG1PgUTgg0vfwSIaIQVuY2LgIvKumPC6PiN95YtuwM+n69mps4ZcUK6Hla0tDUmMrlik1saWNczZASf27JjqDvYeDcXoZBuPKaY1GzEynAqzaPLuwB4cU0vPYMjdDQXX6kYXbQRdvgckZWvUtcRsN26NZDDB0Zgrdw0mPm/JeTwZblsO58AHfOgZyWkPCHTMArB50wdUU7vRFeAlsXhGwsHfMHkxt3zUzOz9bfHmDDx7EVw1YfN6K73/ck0Cga/QTLA/mfAfRcZd3XtczBvz+ztv/hvePYf/v/FhHRjMTjgDNjvdOjfYCqhrWu7+ONw2RGm6XH7HBPmt43I336hae9y2eFmSkf/+uxJFI9daf4srTOM89c2w1TArnsxe5Tf5AWwyWl2LvlzwjjGOnxNDXE/pBtxAt43nMTtV7JZOnzCBCA8pH28Yd2uCIevtckPHVphYQSfM9mi2Dy+UEg3EYsFxMobG30RttoRVMUQJfiyevuFQ7q5CDh8rVkOn9tgFPyQbod1K4dCoiveAPt8PLQvoxB8H/kHKeI8kN6ZVNyvInWFcbfXB2vZul5+cNNzLF1bREVyuTnibL9P38ZX4DdHwR9PhBf+ZcTcv77iO3jPeeJt6tbBYoXVEb3oX/8v/Pm98LgzOqwYwWeJxcyJiVtp3NQBH77OiM33/Qn28MRXxzzY/X0wZT585j44+vuw23tg+vbmtkO+bpzDMP3rYc1T5iRw5WO+2GudAW+/CD52E5z+Xzj5d0bALzzIn3IiCOMQt2ijJU9IN3xcHJxARRuCMH6wgs+pGu11HD6LFTrdgxEOXzGkIxw+Rzyt2OjP8V25aZDtZ4ca/+bBHmBiCmwruqwDSkORIV3bmBZv0kYBwdeUL4fP8uZT4d4L/dFlo2n7sdV+fGeXG7ny0Q3MbHYLSfz9sQ7fKb/7L8s7+/nzA8t56tyjS3+ssaCUyUmbuhBu+45xJV+5y7+9azncfh5M3Qpe9+rPdjkBZmzvF7j84/PmRGq/042oS42Y6RDhdqPFhHQLMXkLeOt3zfW5e5icv/n7+O9R+0zYLyJr5tD/Zyp5u1dA90oTvu5ZZS7715uG0FMWmIrjnd4WnKay6CTT466hTfrcCeOaoWREDl+Ewxc+Lk6ktizCRKdgL+1xhA1vOq6TdYpcQRbI4WtyCh6KdfgCIV3Tu67Ddfi6fMG3yrleDAOemzeltdFUERPl8DmuWr55uoNBh68xnh3SdfFDumZ5lsMH5sd+/zPgdk9YrHws9+PnoU+1kWZjYNxbc4PJh0ymdWZW5fJO8/x6ovalGsRipoHywgPhhs+Zdi2N7aY586blJnTrsvM7TBHL3D1g+f1m2b0XwkOXw1b7G0G19pnsx2krIpWgFOINpgF1MShlqsZzVI4XJDzJRBDGIcPeiXVTIkYyj8PXHRJ81WrLIiFdYewU08ttvBDh8NkROZOjBF//CDSPLaQbzuGDYC++laWGdL2zxSnO/mYXbYwipBuapQtRId1g0UbvUJJ01MQLdzrIrifmfvw82O26zaCV8p3SqKKNyH2pFlu+GT51l5lp++m74djzg7e3zoADv2QqVMHMi93+aJjltXQZ6YOl//HFXrgpsVs8JAhC1XGrdPO1ZckK6VYph08cPmHsFDOtIR+pEZOwPmd3mLFdefZptIxkV+luyuPw9QwlSTd0+GdOuap0u143z3HRu0zz2qw+fLGchRmlO3zePMdWf3vZRRtOSDdv0camzNVuWplbZA5fu5Pv2DeczH5uTe1wyv+ZSt0Dzsz9+Hmwo9MSoYkXHc0JOvuGI4s2NvQNl9zmpqwkmvyG0tO2gc8+AP2dptXJjB2DOXVbvhk+6LVJefkOePT3pvAhnoAd32Ymaax7Hq7+GOzxXgmHCkIN0Vr7Id14DPttLCakO+GrdIUJxNAYBd99P4fbzgUUnNNVjj0aPcPZVbq+w5fd/kNrM4Ei463kyuH711fhxZtg1eNw0q8DbVnSOkY8rpiUiP46ru4eXdHG1Fa/mXK2w+eGdPPl8JnnkyZGH81Z4ircliUc0gVzNhspZhceaP5GSco6fFmtYjyHbyDb4Vu1aaC2gi/MrJ2LW2/bw8xfmK32Nw3CBUGoKcm0zmQ3NSVimePSUDJNOq2JOcepnlD0oVqCT0K6wtgpZaRYFLfZUVLa9OqqFVoHGy9jQoDdeUK6AJtGYhD3RESu12L9i+ZyxaN4G87cZPvw5XL4Vo7W4WvJ4/C5rVDy9Q70nk+/agVUdtFGa/6QLkBfhXLnMoIv5GzZXMgoh29lV2niWRAEoRjcNBw3pAvZRXO1CumK4BPGzlhDui7J0sRNWUkOgfa+eF7Is3c4mal0zSn43F58uXL4BjrN5cZXTAjbCenaSRttjXFiEVG5VZsG0SUUxlhx19oYpzGeY1xbotHMqwV46d95NmYEX58yAjERLy6k21HuiRcRJAs5fIMjWa/b6k01/HwJgjBhyRJ8Db7gC4d1w8fEarVlEcEnjJ2xhnRdRmrowLi5bJ4D5oYFXXEzqRTBl07BQJd3PWlacaTDOXwKpaJdvv7hFN0DxYsme3BpbojT1GAFX8QBZc/3m8sVj+Se2erl8PUpI4CL7cPnOnyRlbplIOW5pGER6jp8YaG7qsQCGEEQhGJwZ3dnCb6R/IKvWm1ZRPAJY2eiOHzu8/Acvk05BN/k8AgvW6kbFR4d6CLQM239S4EcPlulCzCpJTqPb2WRzpTWmkFP5LQ0xGlKmINOZMhgrw+DTS1+9A/Ztw/1QtdrgOPw5XDTLOFZupCjF18ZsA5fLCuk6+fw9YcOpKVWPAuCIBRDwOGLx2h2Q7oj4ZBuMIcvKwJTIUTwCWNnrDl8LvnmhlYatx9dQ7bgi6rSzaxjp21EOXw2nGvZsDRQ/dpLCw1e6LWjKUelbpGCbySlM7ltLY3xTE5dpMM3dSu/EODxP8Ebj5iK0eSwmet6yX6w9lmzy8r0Gizk8IVHq0Hl+t+lta3SDfcGtHN8U1lis9SKZ0EQhGJwj7FNDfFQSDco6LJz+KRKVxgvhEO6qaRpHTEaRmr4g+zO+WzMH9ItSfD1hwXfS9AxJ/PvWj01I6Q6mqNft2JDkW7ooLkhTlPCE3y5koL3Ox1evt24m7850uQwTl4ALZP9Gadb7sPlXR+CnuwWKOHGy1Zgus+jYg5fKjqHzw2Lr+0Jvm4S0hUEoRIMhRy+UkK6UqUrjB/CId1kCT+q4arcUu5bbgo4fK7Ia22MZ5ylYA6f79xl6N8Q/H/Dy9C7NvPvOj05U2kaFlCWVUVWl7oHDjekm7OT+3ZHwPE/M9dtwcqm5bD6KXP9zafBqf9mBWZsV1hcNTsHNff/tqZq5PDlKtrwH3tNd9AxXtE1wG3PrYlsyiwIgjBa3JBuUyJGS6MvrwoLPgnpCuOFsKuVGi7+vgMbg//X1OFzBJ/n8OUK6SqlQuPV8hRthEO661+C3jUADOs4Paot06Mp7PBZ8VJsDp+b/NvcEHNCunkOKG/+mJn+sOcHYZ9PgvJE3Nw94ZgfQCxG0hZIRJURO1jB1xCPZdzFirVl0YUdvjURPQxP+/3DfPXqJyqyT4Ig1A6tNTc8voIlL6wtvHKZCVfpNuep0s0K6SZTJXViGC0S0hXGTjikW4pLFxZDNc3hc0K6IYcvpqC9Mfh1mdzSwIa+YbPOJCekq3Vw6kE4pNu7GjpfBmA9k4nHnIbOjlhJxBTbzmrnseVdxTt8yWiHr2DIYJcT/AkQu78Plt0BbzrFTIYAUl74NFZQ8PnnkB3NCYZ6hyuWw5dK58/hA1jTE/263fXi+orskyAIteMfT6zkC399nHhMcf83DmfWpOaqPXa+Kt3w8TfceFlrc397vK4U4vAJY2c45GqVItrCYqiWVboBhy8o+Ca1NGSJnczMVtfhSyezJ1eEQ7oAr90PwFo9JeBQueHISS0NzJvcAhRftBFw+AJFGyWEDLZ8Exz8FWibkVmUzCGuwti+f+AXblQ7h88VzWu7oz+LBZ6GIAjjkLOuM+2lUmnN0nVl7B5RBOEqXbfxcjik2zdk/nePQ4PDlQ/riuATxk6Ww1eC4As7fLXswxdw+GxI14iVcDUq+ILPOHxb+DdseiO4Yvg5AvQbh2mdnhIQUeFK4LmTzRlqsc2XB3Lk8I01KThXvlwY5TibthdfpXL40jlCupNyhHR/+K7d2HWecWL7hlOZ53Tejc/ynl/dz7qeGrrLgiCMid6hZOBY09Vf3TzdQA5fQ4zWhtzThuzx2D3eV6P5sgg+Yexk5fCNU4dvOLtKd1PEWDXLZNfhm7rQv2Hjq8EV7XOcslXWNtbpyYHGwW4O36TmBHOnGIdvKJlmYxEHsHDRxqgcvgiKdfhcKu7wZfYpeBhzX0N3DvFhO83ixL18Yd4zOMLankEuv+cVHnq1kxseX1GR/RQEofLc9tyawP/re6t7Aheu0m1r8h0+6+iBOXm2x6684y8rgAg+YexkVemOweGrZQ5fJqSroMEIrfyCL+Gv44o5r1lxBluYMnlLf5yZxzqmEncEi+tOTXIcPihupq7b76nZrdIdYxWY7/BlHzK+d+IiAI7YaVZgebvXU3CsOXxvbOzPPH70PgVFqDvlww3ptjYmstrpuLN139goPfoEYbxy45OrAv+vr7JjHy7aSMT9ojm30bK7XlDwVT6kK0UbwtgZS0g37PDVskrXtmVpaM0UXXQ7OXxhprY2AkY4jLTMoCHRYhzKLIfPy+FrnQaxBHT7Id91enLANevII/hWbRpk0RaT8z6FrLYs3gFnrOGCTIFEPNvh+8A+C3jL1tNYMK0tsLwjE9IdfWjlb/9dztevfYpjdp3Drz78psBttnI4LPga4jFaG+P0D6cCIZ6WhjhTvPcMzPu2epMIPkGYCDyzItgSa11vCd0iysBQqGgDTJRjcGSYXsfhc1tkuSf44vAJ44OxFG2E27LUsg+fbbzsFWyAL/iiHL75U816aQ0rugbN5ArIHdJtmQYztg/ctC5ctNESrNid54V0objCjUDj5Ua/NUD5HL5swaeUYrtZHZmDnMWGdN1wRqnYatq7XlqXlcPo6b3IfQq3t2lKmPF1YYfPzfF7Y2M/giCMT/pCrU+qHdIN5PDFg/1I3RPPoZwOnwg+od7Remw5fFlFG3Xi8GF6OmWqdJuzBd9W031h+OqGPj+Pb6MT0tXaf46t02D6doFtrNVTQjl8waKNGe1NGQewmCkR2Y2XfYdvLH2eiu3D55Ip2hhDDp/NwesfTtE9ENxOvn0Kv1+2Yi4s+NzXdIWMXROEcUv/cPD4UEvB5zp8ECzacE++J7e6RRtSpSvUO8kh04oksKwEl64/7PDVQQ6fV7DRP5yKTK61LJzhhzBf29DvCL5XjdADM2fYvj6t02F6yOEjX1uWBPGYYrbXS6qYObDBxsvxjMOntZmzOxrSaY1NoStUpetiD3bDqfSoz15dB25Vd/D5W9cxqjfg1LbGwP+tDdGCz91+z2BSJnAIwjhkOJnOOr7Vg+CLdvj8Y6F7PAo3Z64EIviEsREu2IAxFm1UyGUZ7oM1z/pCLNc6UHCsmmVWR1MmKffVDX1+4cZIn5+35+YotkyDGUGHL5zDN62tkQO3m0FHU4LDvSIIm8e3shiHzzuYJGIqMO0C8oxXK0DKec1Kcfhmtjdlro+m5YnWOlB0EW4+navxMsDMjqbA/1EOX1d/MIcPYIXk8QnCuMMVS/ZwsK5nqCrTKyxDzrHXnhhHdSrIFdId7fG5FETwCWMjapTYmIo2KpTD97vj4Jf7wdPX5l5nOJjDV0jwKaVYON24fAGHD/w8PlfQtk6DyfMhbsRIf6yNIRoDla9KKa48bR8e/p8j2WmO6RlnW7MUlcPnVenaLu+u4BttFZhbIRtVpZuLmZN80bU2x8SLfHT2DQe614dD2sk8eYWzQoKv1ZuS0twQyzSH7h4YCbRtASncEITxSJ8Tzl0wzRy/B0fSWXl9lcQ6fG4ucyakO1zY4ZMcPqH+GYvgc/PbMvetwA/ucD+setxcv/a03Ot5z+WBlUlOuuTegBiY2pYt+MA/uJgcPqc1ixV8YYcvFodp2wDQFZsGQEOo8lUpFRixM89z+FZvGiQd0Z7ExRZtNHuOVpMz3me0Z5DJ9OgcPld05Zp4YXluVTc/u/VFXtvg90JcE7pPWPBmCklUEQ6f9zoopTJ5M+EqXYAVUrghTHDW9w7x//7+FDc/varwyuOEfkfYLZjup9pUszWLPTl1BV9boRy+KrdlEcEnjI2okG6xRRvDfZAKlc5XIoevr8hB2oOmrH95XwOPLu/il3e8nLlpWignzGLz+F7v7Cc1eYF/gxV8a5/1l02Z793pQABebtwRKJwXt+VU4/CNpDQrC7h89iyxrA6fkxtTaJauy6wOv6XM2hwH3nRa84N/PcfbLrqbn936El+75snMbWtC7lvY4csIvohWMW44GQiMObIH2dc39meNPMpXuGEHs9+7VObwCuOXPz2wnL88tJyvXv1kwRPI8YJbsLHVNL+Yrpp5fBmHzxkvabsF9BQR0hWHT6h/wj34oHjR1rcue1klqnR7Q4IvlSMx3xN83ZgDxlNOX6dprdGCz1bqjqQ0K/vj0D7b3LD6KXO5/AFzOXk+TJpnrr/1u/Dh6/nN5M8DhV2zHWZ3ZK6/uCbCUXWwuSxW8DWXxeHzD1ClOHzT2xozYjYs3iyPLt/IpXctyxSFPPhKZybfLxxuzeXwFZPD1xoh+F5Ynf3ZzSf47GD2j/z2ITZUOSFcmNis6xli6drqzH59rdO46D1DSTb2V7dXXaVwWz8tqLXgcx0+L5VkKJlmxHMAcws+cfiEemeoO3tZ0YIvwimpRB++3uDIHTa8nL1OaiTTh69bG9fOdX+m5BB8C6eHKnW32t/888pdkE75gm/Bvv6dGlpg28Pox4iSQg6fK/iiRIpLJqTrFZMEizbKkcNXvOCLxRQz2s3rlsvhWx/RHPVWb0RSIYcvWUpIN0LwuT8GVhDmK9r4zj+NW5tKa17dIKFfoTwMDKc49sK7OfInd/L4610Vfzz3e5Xre1lLUmnNo8s3luR4uQ7fAqddVjWbL9vGy02BkK47Xs3so3vi3dIYzziCMktXqH8iBV+Ros0NtVpnLJfDN9QLvz0G/vgu6F5Z2j6GBd/aZ7LXGfSfh3X4LB1NiaymwpasXnzbHGb+GeiEp//u5yi6gs8jmbJ95PJ/Dae2NWby4Qo5fJ195gA32ROorsM32pDBaHP4wA/r5vphGRjJ7tH372dWAxGCr2swU3WXLlBIkiuHD6ILcPacPwXIXbShtWZDn//jUY0WCsLmwV0vrcucfPxqScTJaJlxc2NzOe+15Oe3v8RJl9zHl696ouj7uDl8tiE+VDeHzwo69+TSbQDfmxF8ToPmRCwzDUnasgj1z0CXf92rPs3Ky8uFG9Kd7M2YzeUOLr0Vlt9vLi/cA9YvLX4fwyHdNc9mrzPYlbnarYOCL9zTzWXu5JaM67WiawC2OdS/cckP/OvzswVfvukVYXacY1y+F1bnF3w27GkLPdyzzZfX9mbCCqUwWocPYLZXqbs2xw+LG4o5cmfThua+pRvoGcwuqBgY8ZsvB0RoRA7f9LYm3F2NCum67LalGVnX2T8cObf3xTVBZ1X69Qnlwv2cR302y029O3wPv2p6sz62fGOBNX1ch29yawNTvcKsC297iUdeK347Y8GebE9r8082bdEG+Me6oODze6VKWxah/vHy3og1QMtUc71oh88VfF5BQ64qXdelSw3Dku8Xv49ZDl8BwUdwJmw+weeO6+oeGDGVul4VLp3e2XrTZJi1c9Z9k3ly0MLYsO7Sdb0ZZ9ByzSNvcPgFS7jpqVWZEOmcjODzhc7/3PAMH//9wwUfK0yqgLjKx0zP4cvVh889UL9jzy0AU+32yGsbWe05EW7E1hatFBKh8ZjKzDoGaGn0D7zhH9WprQ3M9vZT62A7HsudLwZPGqLWEYTR4KYqhJ3pctM/nAwUEOQ6EaslVpBu7C/+O+aeOLY1xgOv47t/dV9VpuhYwTfd+b1wBZ+dKT7kRFqaGmK0eSejYxlBWSwi+ISxYYVSyxRIeF+yZLEOn5fD19hh7g+5+/CFCzw6lxW/j72h+66JCun6BRqbdFDwTWvNf9Ztp2NkRIDr8gHMX2zasYQoyeHzBN9wMs1rnX7+mNaar1z9BMvW9fGZPz2aWW6bNdtcPsudL67j5XWlJYcnR9mHD/zWLBv6hiPdRfcgt/PcSZnrnX3DmR+j7We1Z5ZbN8QtJInK4YNgOCWfw7fn/CmBKuyoRPY7Xwx+hrpF8AllYnmn34ooWeGq2XCro/D/9YAVfAMjqaLTUNx865bGOB/eb2Hm/7SGV9b1RdyrvPgOn38s6QgIvmyHrzEey4zT7KlC1EAEnzA2bEi3eQokvDYcUQ7fk1fB/RcHJ11YEdc+ExItue8L2WHZcMPmfIQdvq7X/CbLFkfwhXP48jl84AuIbnvmvNu7AU+EtM+BA86MvJ89uDfEC38Nd5jjF26cesV/Mz20com3uZNbMpeu8AG47tEVBR/PJTWWHD6n+XJUxZxbZOKeGa/tGcrkzNn8OvAdPkfv5RTM7c7zzpfDd9Quc5jiiPquCMH3/KpgKF0cPqFcLHPEyMBwdk5rOQnn7I2mIXolGRxJ+cdRok++orD5c4mYojEe48P7bsWNnz8wc7s72qwSDI6kMnmE03I5fIPROXz2+Nw9hpnjxSKCTxgbAYfP+6CHc/g6l8HfPwH//qbJwbNYwdc203EHi3T4BkrIy8iIRUcYdL0eXMcVfFkOX37BN8kN6YKp1P3MffCpu+BLz8HWB0XerxSHz3W5XtvQz+f/8hjre4e4+6XonnDW4WtpjPOvMw7i+s8dkBFO1z22oqT+WwE3bZRFGxDdfNkeqNsaE5nXEeAlJ2duty0mZ65v8ELWgVYxOcLMbU4YN6pK13LEzrMC4d/OvqCYS6U1naEfHsnhE8pBOq15Zb0j+CrYi20klc4SfPXm8IWPEZ19xQk+K7ZaG+Moz/GPKpioFG5Blyv42gM5fMEq3cZEDKUUk8ThE8YNxTh8Kx93rj/mX7ch3baZplUJGLGYjjjohR2+oe7c/fRctPYdvi0X+8u7lgfXG4PDZ7+wgTDf7F1g7h6QJwRqRUsxrllbU4L9t52e+X8kpXlpTW9OwWdz+ADmT2tlz/lTeNfeJkduRdcAH/ntQ9yT475hxuTwudM2IvL4MgfqpjjxmMqEx5c6zqXrUtr+d+4+xXKEdN2DrevwTQmF6GdPas4b0u3sG84awWyLRwRhLKzcNBBwfPorVKl5+/NrWHT2v/nCXx8PLK+3HL41IcdxY19xIsjmArc6J3lRYqtSdPYWFnyZKt2RYPuWqObMlUIEnzA2XIfPVumGK23XveBcf96/nnH4ZvhiEaJdvqhpGcW4fIOb/MkfW77ZX971WvZ6QIoYfTQHbso1ZcOScfhKPEOzEyyKdc0u/fCbuOj9e2X+f3FNDw8s25C1XntTIpMX4nL87vMyOX33LF3PGX99rKjh4skxVOm6Id2oFhCZA3WDOejZfofLHME3rb2RGd7kjPXemXRKFxahbjjFzR90X5ujdpntPW7ukO6GvmyhKiFdoRwsC+WWVWrawndvfC6yD+e63qG6mrYRPkYUHdJ1ThwtbRFiq1K4x4jcRRvBkK4tqOuIMgwqhAg+YWwEHL5cgs8ReVb8pVPQ74kV1+GD7MINrf3Ci/Y5/vJi8vhcZ3DO7qaaGGBTdEi3T7URCP1CINwXxaQWLwdjIFmUgLKM2CrdIitfO5obeNtuczONOv/+6BuRjoDr7rlMbWvkj6e9hbdsbWb4dvYNFxVCCjp8pR0yZrQ3ZapsCzl84Asv92x3eltj5iBqz6STqcIitD1HSGeH2e0csdMsdp47ie+fuJtZtymREY7hkO76Hv9Hx772EtIVysGyUA5upRy+XOHCkZSuq2kb4RBzsfvW76SGWJoSscyc8koLvs4cId3GRCzTw9W6jMPJoMNnfz/6hlORLaHKiQg+YfSk034otGWKE9LNI/jWvwippBFr2jvjdHP4INvhG+7z27XM3NFfPlCM4HMKNibN9fv95QjphnvwQREOn3eGNpxKlzQep5QcPks8pjLNnp94Y1PkOnNzCD6ANy+cxkleaBeKy5FJBmbpFrunhoZ4LOPOrYxojdAXOlBH9SGb1taYeQ/smXQxvQE/vO9WmetH7jw7c10pxW9OWcxNXzgo075BKZUJ3edz+Lb2ZieLwyeUAzd/Dyon+HaZNznnbfWUxxcuIik+pOuNlHRydZVSGYett8LhUvc4Or0t2FrHhnV7Qzl8tuGyG3Go9H6K4BNGz1A34P3wNk9xijacA0hqBDY4TZJTw7Dx1WARRtsMv0oXsgWfG86duZN/vSiHzxF87bNhitfvL0fRRrTgy9+WxRUppTg/xU7aCGNFh2XLqS0sXjg1838+wQdBx7KYA2pwlm7phww7zHx5xDgyN9kaskfYNcZjtDclmO6JRlu04YZ0cwm+nedO4u+f3Z9/nn4g86a0RK7jYpu1hl0Fd/zbNjPNay85fEI5WNEVPNZVKqQ7EgrnzpnkFFPVUaVuuGijaIfPO460NQbbX1mxVfEcPk/wxWMq49hZ7Hi13CFdf/1KRw5E8Amjx2lWHHT4nANI5zJIh75s654PCb6Z0OCIlPB4NbePXjEO3/ql8Id3wmN/CoZ022fDlAXmetjh80LTnRGCr3BI1xd8pTg/o3H4ALaeGRR8ey2YGpjpO2dyfnHjOpbh6tMoXNehtTG7n2Ah7GzL1zr7sm7LEnwhh29aWyNK+TN57SSMYsPMey+YmpmiUQgrNsMi2LaTScQU8z3x2j0wUlL4XhCiCOeHVsrh6w8JSbfOKap6Ph9XPfw6l921rCKf/3AOX7FVun02F7gpKLas4OupkuCb2tqYqRL298Ec0/qyBJ8X0m0enWEwGkTwCaPHHavWPAXinpBwGy+vfS77flmCb1b+oo1SHb7fHQvL7oAbPusXZ8QbzT5OXuBv0xWWGYcvKKaUKjzuKODwlSD4kiXm8Fm2CTl8e82fEhCBBR0+tyK1iAOqe3bcHjqgFoMVo2u6h7LmRfaHDtThClorTu2l1ibkGszhK3mXIrHtd8Kugq0MntbWmHmvh1PpyCR4QSiFDb3Bz1ql2rKE+/ud/KYtM9dLmaf7xOtdfO2aJ/nev57jP8+uKXyHEhlt0Ua/19S4taE2Dt+GiCkb/j6YfbJ5yXbShi/4/GNqpSt1RfAJo8d1+JonRzt8boWuHb227nm/JQt4OXx5BJ/r0k1d6AvLKIevc1lQID7/f+Zy5k4mAc06fACb3nCeS3RId3JLA4kCimLSKC35VAmj1Vy2ntEe+H+vBVPY2nX4JuUXfO5BqZgzaDfhub25dMFncw4BlncGw7p20oYNxYTF9XTP2bMhXTAH19QYpn/kYmqbDemGHT7zGs1obxq1uBeEKDaEmpGHT4jKhTvR5n2L5/Pxg7bJTIHYUKSLBnC/0xXgvpezOwSMlXBhV/EhXS8XuCkcTg3mz1WKqCkblozoHA45fA3BKl2o/DFFBJ8welyHL1fjZVuwMXk+zN3TX2YdPhUzQjBflW44/NtiqkwjHb5Hrgj+b6tx5+xuLl3B57ZmsYIvNEe3UNNlGF1IV2udcfhKFSxuDl9jPMYu8yax/3Yz2HJqCwumtbLYq8LNub/NDViNWYzgc886R+PwLZjmC75XN/hh3XRaZxwN2z8rnMNnD6AznAPp+t6hotqylIp97K7+4UC4yv4oT29vHHX4XhDCDAynMu1E7Ed4YCRVkVCp/Z59aN8FnP+u3Znc0pCzSCmKkVSaVFoHPvOFIh+lEp7zC9E5xtc88gYn/OIe9vrOLXzxb4+jtY4s2gD/BLVqgq89+/eiLeMyBkerhat0ofIOX+lHb0GwBBy+KdEOnxVc07Y2f8vuMAUTvavN8raZjGi49YUujrX3SYZy+Kzgs4UhrdPM/cOCLzkMj/0xel/nLDKXtmgD/MKN5FDmMa3DN7mlgU0DI5kk/XwEXZ/ivrBu9X2pgmVGeyMdTQl6hpIs2mISTYk4TYk4d371MKBwTmAsppja2siGvuGicvjcsUX2IFUKbn6hW7jhhq/y5fBB0OHr7BsO7EepOZC5sOI+mdb0DCUzuTU5HT5pzSKMAXfU4JZTW1ne2U8qrRlOpTMJ/eUiXA0PpkhpeSd09uf/HHcPjnDMT+9CKcXeW/nFYeX63lncXMJJzQm6B5NZDl8yleas657KiKbrHlvB0bvOyZw8ZxVtNFanSjdzUpjH4cuEdJPBkK7r8FV62oY4fMLoyXL4vB9lnTatVwC6V5rLSVtCxzxzfbALOl8x1zvmcsEtL/Lj2171txV2+GxIt32W91iegxUO6b7xkN/bL8xsT/B1zAPlHRQ2evsw2J1ZzU7Z+O47F/E/x+/Cue9YFL09h0mjsOTdRsClHjiVUhy2k3kt3rb7vMB2it2WPbsvJofPnh23NyeyEpKLYUprQ6YSzS3c6HPyinLl8E0P5fCByXsqpg/faPbT0uU5C1rrzA/zjPbGQPheHD5hLLih1PnT/AhHucO6qbTOCCTXASv2GPDPJ1ayctMgK7oG+OcTKzPLyy1O3AKWHWab2eH9w6lA5XJn/3BW7uwPbvLzxN1JG+A7fJXM4RtJpTNzcKNCuv6sXFPoZSdtNIYmbZh1JIdPqFesw6fi0NjuT9oA4/KlktCzyvw/aZ7pg2exI9YmbcGv7nyZQd0YvK9LZiKHJ/havbPMsMO37E7/+sLQ/Frr8MUTMGsXc/2pa0zbmIg5ultPb+O0A7dmiyLaeTQmYpnRXcWKgLGMKwP46Xv35O6vHcapByws+b7gu1lF5fANZrsDpaCU3zvwNcfh63fyitoag42XM/vp9bSa2tqQqSzcEArplkvwBdrVeM5C33Aq8wMzvb0pENKV1izCWHDz9+ZP9dMeyl240e+eWDmCr9hjQK7RheX+/Hc5TqObtuIud4tctvPmi7vHlHAXgUw4dThVsYkiG3M0XbbM9nKqh5NpOvuGs9qyNMT9349x7/AppQ5XSv1WKfW8UqpPKbVCKXWDUupNEevurZS6VSnVq5TqUkr9XSm1TY7tft7b5pBS6hWl1NlKqfImFQj5cZsuKxUqvBgyPfBsc+VJ86DDEXwj5ks60GIa4g6SR/B1rzCXhRy+VzzBN2tX2OZQf/mkLf2CEYB9PuFv96lrIufollqckJm2UeQXdizjyux95k9rHZXjBm6BQhE5fN7ZcccoCjYsW3lh3YDgC7R7sY2Xo3P4EvFYRpCtDxVtlCuHb2pEu5r1ThJ5OKQrDp8wFlzxMt/Jcy13a5aBiO8ZUHQOX67pDz1D5f38BwSfk0rjClL3Nfvq0Ttm5RSH27J0uPN0hytzguamxUQJPtc0WNk1yHAopAvVm6dbDYfvM8BC4ELgOOALwCzgAaXU4XYlpdROwBKgEXgPcCqwA3C3Umqmu0Gl1Fne9v4OHA1cAnwTuLiyT0UI4I5VA79oA0zz5W7f/mfSFuYvxNJBY90HBJ/bLmW4z++ZN2N7c9lqBd9GMlPth3pgxSPm+jaHwJzd/G241wF2f6/pyQdw5/nwxJ8zN23yHL62ptJyaCZl5iEW94WthGApBXtgCo8Ri8KGQ0ZTsGGxzZdXdA1kwtlRzkOuKt3APvcOBwRzrGwOX/Y83cCMzPbGYPhFBJ8wBtYFcvgqF9Lty9FH037e+0Jh0zC5TmLL7vA536dtAg6fL6jcvMdtZ7ZzyA4BaZCVw1eNebru6xBVyOI2fV/RNeBU6WYLvonQh+9zWuvDtda/1FrfqbW+BjgK2IARaZbvAEPA8Vrrf2mt/w68DZgJfMWupJSaDnwLuExr/U2t9RKt9Y+Ac4GPK6V2qcJzqh7Jwg5MzbAh3ZYp5jLcWsU6c5Ad0vV4ZKP5MgzhfFFytXWZtbO5bJ1uLtNJb9oH8Np9foPnrcOCL5SH19AMb/m0ub7xVfjv5ZmbVugZQOnixn7Ri3V9AtMrytVIrgSmOj3nClUFujl8o2WbmSb8kkprXlzTAwR/iKzAbkzEAgdt94x5ujNeLV0Jhy9iAsk6Z47ujLYmmhJxmhtknq5QHKm05gf/eo5L73w56zbrVrU2xgOf88qGdLMdPoB/PL6Sb13/VGRPvlyuU7k//5s8YacULJjmCz4319EVfDPaGzl4hxmBbeSq0oXK5fHlen0tW0zNIficwhybKjLuHT6t9dqIZb3As8B8AKVUAjgeuFZr3e2s9xpwB3Cic/djgGbgd6HN/g4z9f6dZdz92nLfL+D78+DBX9d6T6IJO3xxNyw7nO3wNU2ChmDV612rvcpIEgxr7wvgjkNzGzfP9ARfi9N2xObxvfQfc6nisNX+RmC++VTTf2/PD2bv+/6fN6LPjnSbti3X7XQBq5lOTJHJqSgW+4Ut9iBYLw5fKq0LJgpncvjG4PDtvWBK5vojr20E/IHnEDxQuq1Z3Kq3Gc54tbGGxKOY3NKQEXPL1puh9q4LM6OjMbMeSEhXKMy1j77BpXct4wc3PZ/53Fusezy9vTHgvFU2pJudwwfwtWuf5I8PLOe3976Sdf9cTna5HW7r8E1qbmBLp4jFnTdsxV8ippjU3MDBWQ5feNKG/3wrJaYKTSKa3taYKdB4zWlLFQzp2t+PcS74olBKTQb2Bp7xFm0LtABPRqz+JLCdUsraR9auecpdSWu9Cljv3D7+efzPkB6Bp6+p9Z5EE3b4GtuCt1mHL95kwrBKZbl8rwz7Y68e1TuYK0//3a/UXecJvlgDTN/WXG91BN/6l0wV7+N/Mv8vPACaJ5nrx/8UPvegaQcTJt4Ax/4Qvvw8nPpv+NyDPNG6H2CETam5cZNKtOQrUWVaCkE3K7+LbB2+jjEIvq1ntGXE239f9QSf6/A5B2orqOLeQd1iReq63qFQ4+XyvH6xmGLP+VPMPr5i9vFV78emMRFjVkdzYP+KCYcLmzePLfdF3rOrugO3bXDa/TQ7J5iVDOm6qSpTI/LN3ugcyFqWSyiVW0DZHL4prQ1Mam7I5L49v9p/3dyemLGYYm5ojGQ4FceONYNg8+lykus4ZlFKZZ6LK14jc/gmaOPli4E24Hve/16MjqhZWZ0Y526qs+6Q1jp7MKdZd3rE8gxKqVlKqV3dP4zgrC+09tuGuO1P6okB72BmCyJm7ODftvoppyXLPH94Y0dQ8K3WfjHFn5NHeNvthOf+aa5bh2/G9kakgTdP19veNR+DH2+fKQLh4K+W9hxapsCCfSHeMKZctYzrU6CnlcV1qEodrVYOAm1OihR8Y8nhU0rx5oXmvf7vK51es1T/B8MNxdhK3WltjYH8PNsTsWcwydK1vZnl5XRIFy80JxMvrOmhq3+Yl9eZx9lmRltGWNpG0q94LuBIKs0P/397ZxkmR5U14PeOS0aSSWbi7q4kaBIIBFvc3WXxxWWxXWS/FWCxxVlYCO6EAAEiQNzdPZnMTHQmGZ/7/bhV1dU13aPdYznv8/TT09W3q073VN069+iklTw5cYVfuR1BcCtyBR5FLsep3RbrZ+HOLw6tIuVuqxYf7TtOoASDbE/nD6gghq8gtP2kbQufXYuzTxsT371iR64zxq6JmZboqwjhzuiNi/bG8Ple54U4ycQm2Dzmpm2qWSyuz3YpfC5Zk5uqhU8p9RfgYuAOrfU8z9sVnT06yN8VjQvEH4GlnseXlXym7snb6VNi8vdUPLY+KC32yZXYisnLd3LVl9mUxFoWu+0LfQpfiq9vI8m+unFF0cnk44v7m1Q2gvxoSwGc87pRerOsTh3uHrotuhrrHAqKfDd+Oh8NXY4JKO601dk8/d3KCt1wdhZXTRQbJwajsCRg+n9uQTE/r9zpTA6lZe46fHW/7nJP9hVZ+ErLfFXsa+PSBZ8ylbnf1PQKZnmwS1R0cmUuAozs4lvL/bbW15ovlL+fLSPA3I17HMWyWytfO7vu6eZGtHHXQQpLSrn3k8W8PGUdr05bz0dzt4RMFqHx4w4N8cbm+Qp6x/iPKwrtosFt2UoIsLDyl6m8whfMkldcqikoDp2sdgxfiuV96NPGeGo27jrgzJtuC5/Nq5cOIzEmkkEdUmnrsfgluSx8eXVh4QuS7GfLtW2vz4LqtvAlO1m6TcjCp5R6BJNw8aDW+gXXW3a13EDWuRYYJW6va2ycUiohyNhAVkI3L2Hcvu7H6VWRv07Z7YqlKNjry0ZtKPj1wm3JNe/M5edV2Swp6Wy27Vjob+GzcVn4cmPS/XZZRDTL0081L7bMhC/+CPutfrfpnlyckdfDee9AaifzOjIGjnskoKhaay57czb/mbqOv3yzPOhXyq1FrJrtItUacg6UnzTv/2wJV709l79+ayyWJQ0khg+osNuGu5RBbcqyAAz3KFN2DJ9SEOcKYL5tXA9uGtuNv5zhH53Ru3WSY0mdtcF3mUfWsDRNIIZ2au60uZq+JtuZoLul+xS+Hum+BJT7Pl3CZwt8yUmvT98QtIyFcOjhPjXdWaJlZZrdrhi+eL8YvtBaeQ66O9q4XboB2kbm5Aaw8LkWyR1bJDDc1W2jqiEs+UWlPDlxhbMg+mrRdqauzvYb47Xw9W5tFD6tYVWmsfK5u97Y9MhIYsHDJ/DZjUeUy9h3K2BhS9pw7TcuSIcUd+KGTSCXbmFJmdOJIxzUmcJnKXuPAo9qrZ/0vL0OyAcGeD9nbVurtbbTh5a4trv33xpoibHYBUVrnaW1XuZ+WMdvWOxe7/u7tMhn7WsouPrb7lapzt+zCq1etTuXwT6rnIpb4XP9vTvC6PdJsVHOCndqywuhuRVz5yqXQnpvVmXm+gW90vc0uG0R3DwPbp4LHUYEFNWdNv/JvK3Bv1ItXJdut4LbbG/zzWJTgPr9WZvR2n9lHF0fWbpuha8CC19eLfvouunXNtlJivho7hanvl9CdKTfRN02NZ67x/d2Vvg2ERGKwwL0CY4MoUu8WWwU/dqmWDJuddZZ3Vx1wXpk+JS/zy1lL8b6H27IOcCPyzNDJo/QuHFb19zK1N78Yqe9YstmsX6Wt1DH8AVLjoqOjCi3iNtfUFJO4bAXwucOa8+0e8Zy2RGdXe9VTeH7atE2Xp22nns+Wcyzk1dz64QFXPX2HLJcWcHuGD7wuXQBVmbmorV2El1aenrWxkRFBIzldWfphqssi23hS4iJDFoiqm2AAv6BsnQhvJm6dXKnUUr9GaPs/VVr/Zj3fa11CfA1cJZSKsn1uY7AWEy9PZtJQAFwhWc3V2AsgV+ETvJ6xK3wQcNz67oUvhX7fKutJWV2goTLyuGuv+ey8GVqc/NukxrnXJhZZUlwxTfQvLPf4TZEdWH8s9M46bnpZO5zlQ5QClp2h+adgooaKC4lEHb8hLuZdVXp7rIAuePLgHI1rjbkHGCHy7TfOjmOuiYxJtKpwzV3Y3CjuHuSrE1ZFjA3mNMGGYX/93W7eOu3jQDEV6ODx8gACl+oLaR2rKHbBefv0m1W7jN/HNvNsT4+O3mNxPIJgP/1456Htruu/xaJMURHRjjncejLsvj2560+ECiOz13cGHxKna2U+LcXrJpyMmOdr+Xls5PXAMZCvsaaK8vKtGMttC18ndISnQXiih37rXqBvq43VSE2KpJoa0EYLoXvgEvhC0agjk3uOnzu5LSqtLusKXXRaeNOTI29ScC3SqlR7odr6CNAAvCNUuokpdSZwLeYzNt/2oO01ruBvwLXK6WeUEqNVkrdhVEoX9daB/fZNSb2bPB/3eAUPp9Ld/4u3wSwNa5n+bFBLHybS1IBs/rxqzSe0h6un2aybPufDSc+zRcbzcR0sKiUtwKUDqgIb1xKMJebHd8XqHhmZbRNjXdM9Hagv82W3f7W2VkbdvvFcgQy94cbpRTj+7UGYNrqnKCxje7VZm1j+AAe/kM/P2uZ2W/VS+CM6lo+6iPUWc4n9G1dbptb4UuIifIrlGt/5qojzWJnZWYur033LNiEQxK3GzHHpUhNXuErPTWwfSrgC/gPeVkWS4GMiy5vBUsN4NZ1K3wlpWWOQmPP0X7tBato4WudEniOs616uQUljjXdjuGLjFD0sty6K3fk+rWiSwugqAbD9kzkhclyZifFBKrBZxPYwudTv9weopWZueXGhoq6sPD9wXo+EZgR4AGA1nolMAYoBj4B3gbWAsdorf2c/VrrJ4DbgXOAH4BbgKeBm8L2LeqaBm/h85VX/D3TN4msLvYvhEl8c+h0BJ/N38qr09ZRltIRlDntlhWasW1S4p06RLabj7gUU0fvnDdh1I1+StrCLXurJWq2Jy7Fvbp2s89VB6q6REYop7iw18K3cZe/wjd7w2627jEyJLgsbXXNyQOMtbWotIzJy3cGHOO+YdWmLItNs9goXrp4GO77TkUTpZc+bZLLTfahjOEDGNW1hZ9S2jYlrlz2XQ+XlS8tMYberZO4YUxX53PPTl5TTtEXDj3cViW3wvKtFeLRr22yc7O3rW8Vdb2oDK01W3Yf9Escs6/hQNdZXFR5FcC9QHbLb8/RyTXoNhNMMbSPtTffp2SmuhTKvnambuZ+/6LLSVWz8IGrn249WvjapMThnabcLt1erZMcZdxbvieU1EXh5TFaaxXs4Rk7T2s9TmudqLVO0VqfqbUOGF+ntf631rqX1jpWa91Ja/2o1rrpFMba7bXw7a0XMYJiuXR1ZAyzM30TVH5xGaW9rMSLlA5wxUTW5kbxp48W8eTElUzdDpz2PMUjb+aT/OEAtEuNc5SJYDEh2/f5lLT5m/dUq8q718K3Pqd8jF1BcSlFVgX05BpY+MAX5+WN4fOLO8Rf4WvfPL7G/XBry+Hd0hxl89slOwKOCaVL16ZX6yROGuBz7VfWy9NNZITivBEd/LeFuKyNUoqLR/pCBHYGCGTvkeGLLzqye0siIhSxUZE8ffZAwDRK/2lFYCU6nOQWFIetSbxQnkVb9lZYismtZOw6UESZ1WnGdmWeMtB3HSSEwML37OQ1HP1/v/C4KzktvwKFJJCb0+16dsc/24qee0Fc1TIiwTwIjsLn+g3d2cN24kZuQQmLtvh6nrdMrLrCZ1v4csOk8FX0+9rERUfSyzVngL+FLy460rl/LNveiBU+oQYc3O0ramzT4Cx8xqVbFJuGN1xp19i/wRn/geumQkZfpq/xuX+Xb98PQy5h07D7KbLaqbldusHM7tv2+BS+4lLNNE+GV0WUU/g8LlfwX6nWxKULvtiubXvz/Sb6TR4L37a9+cxab2JaAsV21BXRkRGc2N+4L39ZlcVXi7aXG+P+fwQqKlpTbhztK32ZGaCdU0VcPLKj3+twZDmfPdRXSujqo8oX7nZb+I7q7rNqD+/U3Dl/wrlS95JfVMpfvlnO4Md/5OLXZ4W0Pprgz4HCErTWTJi9mdNf/I3zXplRwVif8lZaptmbX+xY9wBOcS187BpytYnhe+4nEx/39u8bHcX/gONyLK+QBEoQcM+X7oW1Y+HzSzCoooWvMoUvP7DC507ccpdiSmtWfZdudRaW1eFAFVy6AMNc2c3gr/ABTrLY8u37wnb9isLXEPHG70H9K3wF++CbO2DZ5+a1ZeHLjUwtN3QPKTD4Qkg08VYz1/sCdm13p9ut2iYl3rcKC6bwedywP68o17EvKDm5/hd6oCxa9wq0phY+dzC/u6L6pgCuPXu12b55oOpCdceVR3YhISYSreGODxfy+vT1lLg0eH+XTugUvv7tUjjRiiF0K39VwfubhaNTSUpCNK9dNpyLRnbkmgAK31E9WpIQE0lqQjTH9fGVF1JK0de6SYVzpe5Ga81Fr8/kjV9NSZgZ63exY1/1lGihakxevpOBj/3Ate/M5f7PTMGIVTtzgyYEHPCUWMnJK2SOlSTVu3USndJ8oQO2QhaqLN3VWSYWzJdFWv76HdDO1+nIdjS450u3wmcns8VGRThZ6furmLThVvg6uNqm2b2q3cpYSrxPmevV2mcVm+5S+AIlmwTDtsbP27SHrXtCH2ZRFQsf+JLBbGI9JVzseSMnr4isAF6FUCAKX0PE686FwApfYa5/Pbxw8sUfYe6b8PEVUJzvKHx7SCk3dI/r4i0r03410+yEhh0uF227VF8MX6CJs7RM+2fmAusCuGWDUd6lW97Cty8EFj53YL87jm+z5dId1yej3KquPhI23PTMSOL1y4YTExVBaZnmr9+u4MLXZlJQXIrWOuRJG26evWAwX9x0JHed0Kvan/321qNolRTLGYPblps4Q8XxfTN48swBpAfIom6TEs/v9x3Lr/ceWy5jsF9bM3Gv3pnrhAmEk/35JSzYvNdv25Jt+wIPFmrFR3O3UFqmmexZcGYFsVJ748ZycguduayrJ3nJVshCVYdv1vrd1v6CKyQPnNKHoR1TuWF0NycRace+fDbkHCh3/duuXKWUs/iramiN7fo9dWAbpt9zLEd2N8YAe24ONv+mxPtarNnXUkZybLmOGhVxySjjESjT8O6MTVX+XFWpyILqZngn/woD7ixd8M0bYHnCwoAofA0Rt8IXY61wvC7egn3wyjHwz96wbX545SnOh5Xf+F5nLoU8o/Bllhr53GFo7ngM06LK93pdVh5aa7btLXA+l5ES68SH5RWWlMuizcot8CtUDLCzGhaM8i7d8sqie+KqqcLXpWWi8zussVbXJaVlTrxe9/RmDLIy8my82Z71wRHdW/LeNSPpnGYsZ3M27uGG/83jiKd/5pnJqwGT4RfqeoFx0ZEM7pAatHZVRfRrm8KcB8fx7AVDQipTdUhNiAlYm7CvNXEXl2rnPAgnO3PLXwtLtorCFw6CWfJ27g9skfH2b83OK3RCGDI8CwmfS7dmiwSvojhrwy5re3CFr11qPJ/98UjuO6m3U8z4u6WZjP3HFN74dYOfZc4du2d7QaqatOGtgGAfK1AMn3f+ddfjA7MQqw792qY49TsnzN4c8sLWjoWvkgWxd673Lv77uhS+ZdvDc/2KwtcQsTN0m2X4yph4LXy/PWfGlRXDzJfDK8/Kb/1fb5/vWPg2F5pV6hCr6TzAPlfGldudCyajaef+QjItC19aYiyxUZF+mV9eN4g7fs+O6cjOK6xyRwNvlu6OfQXlLno/l24NXZdx0ZH0tNpu2VXkt+/1Kaud0hIY6onjqM8YPjcjOrdg0u3HOHEmU1Zl+7kFa1t0+VDCjsWB8K3U3WQFUDYWi4UvLBwI4m7NCqB0F5WUUeQJcN6Yc9BRwLz1N30u3ZopJN7QldmentWVxZi19Fiq3/pto19ShjukIzmu4hAcN1rrChU+rbWj8CXGRBLjUYS8BdhP7u/fj70qXHVkZ8BYGr8OEKtcG2ylPqESq6M3Oc/rmUhNiHHuB5NXZIUljk8UvoaIHcPXvAvEp5q/3Qpfbqa/krfN25I4xCx41//1hmlQam4ymwqNVWhIR58is8e1WpsToKjv2qw8Mq2bVOsUc+G7FQrvJOKO3xvaMRUwbt5dAVqYedFaO/Wv0l2p/G4lEvDLtKuphQ9gvJUEsXTbfjbvOuhXk69TWoIjv019x/C5iYuO5N8XDgn4/UXhqzrdWiU6q/e6iOPb6XInDrYWXku27nVuGHXhVj5UsEurdGgRz70n+vp7B1K6A5UBWeqy3LRO8Vf47LIseVZSSHXJzvNXOnPyiliXnVehhc+NV+Hbtjef6Wt8yXF+Cp9t4auCS/dgUamzOE/2KHwFxabOn12WJVBdQDtT1yZQt53KGNcnw5n/P5wTun7XZWXaSbKpzMIH8NRZpkFYO1fdVjenDjLK7MItewMm0dUWUfhCSdFB2L7QuEBrg23ha9HV1LEDf4Vvxov+rdZ2r4O9m2t3zGAU5sL6qf7b1vzo/JlTZi7Gfm2TnYrmbvP8hhwjZ29X8O267Dwn5iUjyUx6SXHBM7/8FT6fYrlzX+UK3/6CEmeVPdhlhdziCd51V4yvadIG+GfdTVy6w2mpFh2p6NM6uZyFz9siqL5plxrPpzcezt3jezHOlYwQrsbjTZGoyAjnfF+8dW/Yj+cO8Lb/Z3sOFrN1Tz4PfL6EXn/+jhvencen87by/bLMWtV5a8jUVFGqDnYbwuP7tOaG0V2dThA7A8TwBXL/ui2+XpduFyumLyeviLmbqp+kl51bPgv128WZrqSCihUSbxcOMJZ+89lIolwhHfaicMvu/ErLAAWKz3PPezm5hc49I9Bis7fLpdu3TbKfHFUlKjKCc4aZzPv5m/eyNkShFu6M6soUaoALRnTgnasO45MbDw8YynLT2O7Ob/PUxJUhrx0oCl8o0Bp+eAj+0RNeHQ3f/Knm+yo6AHlW/a4WXVwKn8tFs3qSeY5wXRzrfqn5MSsiawVOm7SWVnB9qe8Gs8tK2ujSMtHJrrIzrrTWbLUyVId3bk6idUGsy85zJsgMa5Xr1/PQa+GzrHEp8dF+gc6BJlkv7vg9txVyq8fCZ69UE2MiaxWr1jOjmSPjh3O28O0Ss0o7vm8GzRNjyq2i66sGX0V0T0/iprHdueXYHs42bxykUDH2uTZ/896Qu5C82NdBYkwkh3fzdSKZsW4XH83ZgtYwaVkmd368iOvfncc/vl8VVnnqmuzcQm6dsID+j3zvZM6Gg/yiUsdaltYsBqWUo7QFyqr0hqaA/+LV69I9Z1h7J/v1bavtYHXwK0xszTMfzd3iKJ6VKSQtEn33k2hPbUtvMXq744076zgYgeKj3YWTc/IKHU9I29TyCVJd0hI5qntLkuKi+Od5gyo8VkWcN9xXv/P9WT4rX+a+ghovzNw1E6ui8CmlOKZnK9oE6TySHBfNPZblOHN/AS9NWVsjuYIhCl8o2DYPfn8eiqxVw7LPoaSGN0h3wkYgC9/eLZBjAukZfQ/EpZq/14dL4XN1qhtycbm3c7RP4bOL+NqrtX35xU75kQ7NE+hmlS1Zvn2/4/b1WfiCu3TtEi7tUuP93CCBgtXLyeeaiPu2TXbiQ7xdEJwuG7Ww7oG5oG0r34acA07vR/dkc9txRpG69ujy5T4aEgPb+2LR7B64QtW4YXQ3p57YA58tYfOu8HXdsGNU05Pj6Nsmxeli8p+p68olO4EJym8qdfoOFJZwyr+nO+6vj+ZuCdpJp7a4Q0jsbi+2mzDQ4vNAJSWNvC7dls1iOdUqxDxpWaZfJYOq4I5VvnGMKXXkVjC93WK8nD2sPT0zmnFS/9Y8dEpfv/e88p88oI1T/7Iy16M7XMZWHFu5Fr7rsvOcWqUD2qWW+3xEhOLdqw9jwZ+PLxfPVx06t0xkVFfjDn779w18NHcLr05bx+i//8JpL/wWtNtQRbhjwavTMagizhnankHW3PvatA3lCvfXBlH4QsHOpf6vS/JrnjnrrsHXvItPoSvKhdJiWPez7/3u46DraPP3ul+gJAyFJXdaCl9UPPQ9o9zbOTqZ5gnRpCbEODc4uyzLlt2+yaZDiwSnbIm7NVpGsrnw3W27vBXRbWtc29R4WjaLdTJhq5Kp6+5fmZ4US3srKNYtG9Suj66XS0d18lu9t02J4+gerZzXt4/rwcz7j+OBk/vU+ljhRCnFpNuP5vpjutaodMqhTOuUOP5+jrFG5BaWcN27c8PW2slWNtKTYomPiXSsL3ZHmZjICGbef5xTsHrb3nw2N6K2b1rrgEkRYGIk3da1Mg0fz90aFjncPWbtUjzpFVj43GEQIz1xZynx0QFLi1x+RGfAxCi/Nq1mPcObJ0RzztD25WLEEitR+NqkxPPDHaN5+ZJhnD2sPZ3SfPHF2R4Lf4vEGI7qYQqOT1yyg2Jv9X0XgV26PoXv55W+EjcDO5Qv8wVmLqqJK9fLQ6f0JT46kjIN93yymCcnrqTQinF9b1b1S7ZU18JXFSIiFI+e1g8wbS/v/GhRyGozisIXCrJXl9+26dea7cvdQ9ft0gXTXs1W+OJbQJtB0NtqVVywF9b8ULNjVoRt4WvVC1I7Qno/563NUZ3JItXpBWm7dO0L3B0n16F5glOY2G11sF26wWL4SkrL2GitcLq2SiQ6MsKZLIKVQnCT7bpRtGwW69S927o3PBY+MDeBr2450gkuvnFMN7/iwEopWqfENUh3rpferZO5/+Q+dExrOMkljYXj+2Y4VtyVmbnc9sGCCm+MAJ/M28r4Z6Zx50eLWLC5anFcWS4LH+DEKtkM79yc1ilxXOTqUPLbWv/s+YbMA58v5bAnfuKujxeV+/3c1g9bobFr5YUaO34PfIV/bQ9FZRa+EZ39FT6vO9dmUIdUDrcU9v/N2kTmvgJKyzRfLtzG0m37KCop46Upa/26ddjYCl/LZrGkJETzB49VPlBCRDCaxUbxn0uGOa9HdUkrN+YPA83+9xws5qmJK/0KtrtxZ/raCp+7U4Zb4fOWrQo1/dul8PIlQwN255m2Jsev33FVCIfCByYk5HzLKzR30x5uen9+0N+3OojCFwqyV5rnjP7QwuoasPG3mu3LdunGpUBCC3+Fb/Yrvli9rmMgIhJ6nwIxVsHfRRNqdsycNfDdfbBjcfn3slaY54x+pmje5V/BhR/AlZO4WD2FJoLOVrV4r0vXXdW8Q4t4v4b0NoFcuu4Yvk27D1JcaiZvW2G0rYLBWnJ9vyyTIY//wGNfL2OzZcmLjFC0SIyhQwujuHgtfHY9KW+sSk1JT4rjw+tGsfDh47n08M4h2afQ+LjvpD4c09NYdyevyOLWCcGVvoNFJTz21TJW7czl0/lbOe+VGSytpLyK2/qVYbkXT+rfxi+r2j5+n9bJjqLy27o6KtgeAj5fYCx2n8zbyg3vzvNT5mxLpVJwp2WF3rY3368NV6jwj5GzXLrWXHSwqLRckob79QiPhS8jJbDCB3DnCT0Bk139rx9X8fCXS7ntg4Wc85/fuf+zJfzfpFXcPGG+Xzcf8Ll07QXxn0/ty/0n9eak/q05c0g7jnUlYVWFPm2Sef/akfxhUFtuOa57uffH92/tuLTf/G0DN7+/IGACh38XI3NeRkdGOB4he35v3zy+Wh00asqYXul8cdORPHP+ID68bhTvXTMSMFbVbwIo0hURDpeuzWOn93MKVP+8MouXpqyr9T5F4QsFdkxdy57Q+Sjz95ZZxgVbXdwZuuArywIw7e9QaN0Auh9nnmMSfK7W1d+bPrzVYdc6eOskmPUyfHixv8x5WXDQmjjTLfdjYkvodRIl7UeyLc9cqG0tN2kwl25SbBQp8dF+nShs7DiWhJhIxwrmnljX7PSVNbH7l9qr40Cr6vXZefzpw4XsOVjM279vZOIScwEP6ZBKZIRyil/uyy/2CybeH0KXro1SqlqraqHpERmheOGiIQyyMsS/W5rJea/MKBdDCjBxSaZfOENxqeaZHwN4D1zsLyhx4kRt5SM+JtKJBQM42nK9RUQox3o0c92uSrMrGwK78gqd7wfw08osJi3NdF7bCl/blHjOGd7eSTb4aUX147EqI6CFL9nnmvTORwdd/8vOaYm0ciUqtHZ9zsvwzi0YbSnpH83dynuzTAWGguIyPp1vlF+t4dvF/rFzdviKnRCREh/N9aO78fIlw3jm/ME1Wswe0a0lz184xK+2pE2z2Cg+vuFwelmtyyYty+TlqeWVEndxZrcnx5vAFm7rnpv+7VI4c0h7RnZN4/CuaU79u8/mb61WfGu4LHxgymS9culw577375/W1Lqguih8taUwD/ZZGT+tevsUvuKDsHVO9fZVUmTKuoBRHsHE8blJaAlDLoX+5/i2DbrAPJcVw/vnBXYxB5Q9F/53llNEmb2bYcknvvfdCRvp/vFmuw4UYd8v7EnPVm4KS8ooKC51XLrtWySglKJTWqKfazM6UjlWQaWUU1H993Xu3ru+9HnbwhcsbqaguJSb31/gFEfV2mcFHNvbrG47uOrebXVZ+UIZwycIbpLjonnnqsMcpW/B5r0c98+pPPj5Ej/F74PZ5sbeslks51pu2Z9WZlXo2nWHLKQn+axGfxzTnZ4ZzThrSDunRyfAEZbFYNeBIm58bx6XvjGL816ZwXOT1zTITOx1AbrivDptnXNTtoP9O7ZIIDku2inbNH1N6C18uyyFLyYqwrGgZrh+c6/C5y7SnBgbSc8M34I3mEvX5pE/9KVNBVZAoJw1yufSrbtFZqe0RD6+8XCnS88/f1jFj57kB3tuTYqN8pv/T/B0zHAnidUlERGKs4a2A2DR1n18u6TqVj5/C1/oWzw2i43imfMHExWhKCnT3PT+fL+FR3URha+25LiUq1Y9ocsxoKx//K/PVm9fm351WfCON88tuxsX6in/gj/OhLvXwukvQLRrMuh0JHQwZmm2zoHXj4Otcys/3qIPYM9G83eEZY7+9V9QZk1Um2f5xrpi98B/crMVMNvCB8bKZ9/MOlhWtZioCDq18Clc6Un+cWxjexmlbNn2/c7+11g9adukxDmrQ3uS3X2giMIS36T65MQVLN8RuNCtve8OruPbLufi0jJncrZdDoIQSlLio/nwulFcdngnwARjvzdrM2P+MYWb35/PP39Y5dReO2dYe24/vqdTouPKt+fwv5mbAiZ9uONY011Wo45pCfxwx2j+df5gv2vslAFtaGspEt8v28n0NTnM3rCbZyav5owXf3MyXAuKS9lTixtLqHD3pD59sIkZW7R1H3M2mt/KtvB1tK5r2329PudAQCtqbbCTNtISY5zf1P2be4sv2y7d6EhFbFSkX2ZqSiWW/66tmjHptmO4YEQHBrZP4a0rRzjzq53gtjIz1/l9DhSWONYmtyWxLkiOi+blS4YRFx1BmYab3pvvZ2HdHyQ++k/H92RsL18y2zBPjdK65JqjujqZ149/vbxcLdhgHPRT6sNz7+jfLoU/WW7+zbsPct07c2tcS1MUvtriVvha9oKk1jD0UvN6zfewsRrJGysnmueIKOhxPFpr1mblUtJ9PIy42ljZAgX6R0TApV/AqJvM68L98M4Z8PkNfkWS/dAa5v/X/J3SEY572Pd93hwPH10OU54025LamO/lwn2jsWtRpcb7JrHMfQVOdq1byerqcut6yxKM6eWLMZlqFfy0Xbq2dc98rvwkO2lpJu9YjbGHdEzlCivbDYyyaFsP3f0Mt1jy5QYIKhaEUBMXHcnjp/fn0xuP4FjL4mzHDT3/s6m3FR2pOH9EB9qlxnODVVpj78FiHvpiKSOemMyfPlrIlFVZ7D5QxMdzt/DXb1c4+3db+IKRmhDDlzcf5ZSnaJUU67iMtu7J56LXZvLLqiyO++dURj75EzPW1W9yh12fLSYqggdP7uOUVXpt+npyC4oda4edVHSMKxs+1FY+uyyLO84s3WWpm7XB301uK+i2IuAOabELNldESkI0T589kK9uPoqxvdL54LpR/PnUvnxw/ShnzAs/r6G4tCxgDb66pE+bZF6+eBjRkYqi0jKu/u9crvnvXHLyCp3QGe/cGhUZwSuXDuf2cT2476Te9arwpSREc79VNSErt5A7PlxYpSSJg65M7MrK3tSGG0d348whxgo5d9Merq2h0icKX23JtoqYqkhIsxI2Rt9nypgAfHkz5FSheKLWsOo783fno9BxKdz0/nzG/Wsafw9SKDW3oNhXeykmAU58Ev7wb0CZMi6LJsB758CXN5lkj+zVxqK3fqrp1pFpFSkdeikMvxpaWW7brXNg+RfWfpPgtBfKKZpZfq4kM8EMaOczyU+YvdlJd3crWd3SfYkbGZ44lsEdUh0X788rsygt086E71b43JPspKWZ5BWW8MhXpjROclwUz184hNMG+zLUxvRKd1bkaYkxjul9+ppsvz6PIAqfEH6GdWrOm1eM4JtbjuL0wW2dm3+vjCRev3yEk/V+x7ge/OeSoY5r72BRKZ/N38YVb81h6F9+5O5PFrPCZdH2Xk/BaJUUy4RrRzH17jHMvP84frjjGK60eo1u3HWQK9+aw7a9+RSVlvHgF0soKimrt7p9tgWra8tE0pPjOMu66U1esdPpVw04JUT6tfUlpkxbnc2+g8W88PMaprnG1hRbuUxzKVRJsVHO/2vC7C1c8fYcxzpkW/gSrWD+y47oTLvUeNqlxpfLoK0KvVsnc/VRXejXNsVp0fjFwu1c+OpMP/duq3pQ+MCEzTx/4VDnfJ68YieXvD7LscIG8p7EREVw+7ie3DC6W71XLTh7aDu/BKvbPlwYsFuKG78Yvkp66dYGpRRPnz3AicGdviaH69+tghfPgyh8tcXOYm3RBaKsCy25DRx1u/l7zwZ47Vj47d9QUEHA5eaZsN+qH9XrFN76bSMTl5jg5Nemry83/EBhCae98BuHP/UTi1x17Rh2OVw4wdTos7N3F/wP3j0DXhwBzw2Cd06DHx4076kIGHwxxDaDa38yVsKYJEhMh14nw/VToce4csd3W/hsF0LHtAQnTumz+duc991xc91dq1yvRSIyQjnBypOWZdLzoe8cpbFHuq+9zojOLRzz+xMTV3DpG7Mcef58al/aN09gSIdUTuxnssjsxtlgLpzx/Yy1csqqbN6fvdk/iyxEWbqCUBn926Xw3AVDmPvQ8Uy9ewzf3Xa0c/6DOVdP7N+GafeM5fXLhnPKgDaOm9dLUmxUtfodu2NqlVI8fGpf/mhZFN2szz7A4U/9RJf7J9Lzoe+4/t25ZFah/mWosBd8tnXsGqvMjdbw8JfLnHG2SzciQnFUd5Ok8sPyTE5/8Vf+8cNqLntzNq9Oq12Wo9ula6OU4vkLhzgxbNNWZ3PeKzPJ2l/gWPjs/0tKfDTT7hnL1LvH1Hqeef6iofRvZ2Iz527a4xgFkmKjGOLp112XnNi/Nb/cNYaTrJ7iKzNzWW15aRr6YlopxUsXD3UMF98u3sGJz05j5vrgVm47hi8mKiIkdQIrIjYqkjevGOGc39v3Vv86lICl2nBwt68uXtuh/u8dcw+Ulfgya3/8M/z4MLQZCAPONTF6tpKYuxM+vcZ8TkWyJX0MT73uc9WUaXNiudO+P5q7xUnLf2XaOl662FcziV4nmce+bfDFjbDB0wvXTZ8/QIpZNROTaKyE458I7Dp2YffCbdksxq8V2emD2rJoy16n1l6LxBgO6+orSdAtPbhLF+D0Ie34YqHJPnOXX+jhCnhuFhvF21cexoWvzSSvsIQFm/cCMLRjKmcPNcHuSin+c6nrN3Hx8Kl9+W1tDlm5hTz4uX/R7JSEhj0pCU2PZpUoa9GREYzrm8G4vhnsyy9mxroclu/IpV/bZIpLy3h/1mZOHdi2VhYSpRT3nNibQR1SefPXDYzv15r3Z29mbVaek6xQVFLG98t2Mm11Dh1axHNk95bcPq5nyG7k8zbt5odlO4mOjGBk1xYM79TC6RRhzxvd05M4rnc6P63M8gte79TC5zm47piu/Lh8J/nFpWx0dTh5cuJKpqzKpsDa/s9zBznJXJWhtXZcumme0iH926Xwza1Hc/sHC5m8YicrduznzJd+d6yiCbE+y49JWqi9Jatdajyf3HAEj3y5jA/nmqTBmKgIXr1seL1XBmiTEs8LFw3l1gkL/BIgGrrCB/a9ZQQ3v7+AGet3sXVPPhe+NpOLDuvIDaO7+YUngc/CV1lR61ARHxPJG1cM5/1Zm3nxs51Ur4iMKHzVo6QIfnoMmmXAEbfA4o+cvrJfRYxl0nvziI+O4rLDOxlL17EPGUVw8iNWrJ+GHYvM44eHTC/cNgONy9dO1hj3KJ+u89UmslmZmetkoJWVaf77+0bnvdWu0iV+pLQzdfP2bYVdayEv22QPp3aAsjLTrq3nCeU/V4Ubh6+6v7/SdurANvz12+VOBu8DJ/fxW832bp1E84Ro9hwsZrBlDXQztlc63956FFNWZfPlwm2s3plHclxUuZY6A9qn8O7Vh/HUxJXM3bSbxJgo/nJG/4ANqb00T4zhX+cN5qr/zqGoxBenERmh/KrLC0JDIyU+mhP7t+HE/r6yK6cODF3bu/H9WjsW8MO6tOD+z5aQmhDNgHYpbMg5wHdLM8kvLmX1zjxW78zj03lbSYiJonVKHMf2Tmd45+YMaJfiV36jKuzKK+TyN+c4LrQXfjGxaLYn2V3D87pjuvKTq1hvZITyW6j1b5fCq5cN4+q351JUWsaxvdNZtn0fO/cX+lUAuPuTxfx81+gqWdsOFpU65WFaBMiCNYWKh/LnL5cxYfZmv5Zm1bG8Voe46Ej+ds5ADuvSgm8Wb+fqo7r69VKuTyIjFM9eMJguLRN5eeo6Ssu0n5emIZPWLJb3rhnJOzM28vSklRQUmwSrCbM3c1L/Nlw8qiPDO7UgJirC6Zcc6hp8FREbFcmVR3ZhWPIBBv2rep8Vha86zHkdZrxg/k5p5yQ95DfrwG2zktAYF+xva3P45a4xJoiz98nQc7yJodv0Kyz/CnZbroWyYtOH12bIpXDELUx6bjpg0rztFcTKHT6F75dVWX4r17VZeWTnFgbPzkppbx61pKC4lNioCJRSTkkUb9xQenIcx/bOYPKKnRzeNY2zrXR3m4SYKL66+Siy8woZEkDhA+jXNoV+bVP445huLN66j7RmMQEnzSEdm/PRDYc7MTPVuckc1aMlP985mu+XmRV5RnIsY3ulVynwXRAOBfq3S+HrW47y2/bLqix+WJbJysxcFmzey/6CEvYXlJC5v8BpmaiUCd0Y1CGVwzq34IR+GSTERKEx2tsvK7P4dW0OG3IOMKpLGteN7sor09Y7yp5SxmXrTkRwJzyM7JrG46f3c1y6geaRo3u0YuJtR7M2K49xfdLZl1/M8z+v5b1Zm4iLjiS3oIScvEL++f0qHju9f6W/hbsAdrCSKlGRETx5Zn/apsTxT1f9xMQwKwNnD2vP2cNqP7+HmujICO4a34vzhndg+Y79HFfNws/1SUSE4ooju3BMz1Y88tUypq/JoUzDt0t28O2SHSRYLQztTi/hKMlSGZFVMG54UU2liXZtUEr1A5YuXbqUfv36BR6kNbw4EnKsBIqYZlBkLGtftryG27Ye6zf8rhN6cvOxPQLvJ3Ox6VG7Y6FR+JplGDdvn9PYsDufsf+YApieq69MXU9+cSmXjurEX84wE9M1/53D5BVZfrt9/sIhNQoErioTl+zgTx8tZGSXNN6+cgQjnviJnLxCzh/egb+dM9Bv7L6DxUxbk81xfdLrdOUjCELdoLXmy4Xb+WllFtGRiqXb9gX3NLiIiYygyJP92DktgR37CigsKWNklxa8ePFQ/j5pFZOWZbK/oJijurfk7SsPK3eDW7RlL5/N38q5wzvQ35UwVhH5RaVERyouen0WszeYIvXj+qRz+7ieAfdRWqYp05qHv1zKhNlbiIpQzHrgOL/EjUD8vi6HJ741ZaL+7+yBnGu1yRIaJ8u37+f16ev5atF2v9agNoPap/DlzUcF+GT4WLZsGf379wfor7VeVtl4EAtf1dk8w6fsgaPslcW34OkdwwE4bVBbVu/MZWVmLv+Zup4LDutYPkVeKdMDt80gGHxhucN8t9TnlT9lQBumrMpm4Za9Tjbevvxipq025QbOHNKOiUt2UFhSxoz1u8Km8K3YsZ8/vjcfgKmrs1m2fb8TzxIoMzBQH0dBEJoOSinOGNKOM4b4LPhZuQUs3rKPRVv3snDLXhZt2evXRxVwlL246AiaJ8SwY1+Bn7fizhN60bJZLH87ZyB/O2cgZWU6aJjGoA6pTpJYVbFLZzx55gDO/c/v7DlYzOQVWUxekcXgDqlcMqoTpw5sQ1x0JBtyDnDV23PIySt0SjeN7tmqUmUPTIeKb245igNFpWFz6Qp1R9+2yfzr/ME8eEoffl2bw/Q1Ofy6Jscp7N81QBephoiciVVl7lvm2Y672zYPMvrzVY8n2THZKH/nj+hASZnm8jdnk1dYwnOT1zhWuapitw3q1iqRHhlJ9GmTzMIte1mZmUtZmebH5TudSfOsoe3Iyi3gt7W7mLIyi/yi0pDXAior09wyYYHftvdmbXJia9IrqRgvCMKhQXpSHOP6xjHO6qBQWqaZtWEXM9ftIjrSFOXdl1/MoA4pjO/XmsgIxZu/bmDyip3s3F/Iif1bc5in52xVYnJrQvf0Zvz4p9E8/d1KPpu/lTINC7cYRfUv3yznuD7pzFi3ix2ejGS3glsZSilR9poYac1iOX1wO04f3A6tNeuyD7BmZ65TzqWhI2djVdixGJaalmNz4o/k6xYP88jxhRRnDOaZF0w3inap8RzeNY2ICMXRPVoyfU0O78/ezOVHdParIVcRW/ccZLHVK+8kKyi7r1UwOK+whI27DvCN1T+xRWIMh3dNY0POAX5bu4vt+wp46rsVPF6FeJTqsHHXAb9q92DqTdlkiMInCEIAIiMUR3RryRHdWgYdc/3oblw/unw5mLqgZbNY/nHuIO44vicfzN7MB3O2kJ1byL78Yr+yUjbNYqM43tMOTDh0UUrRPb1Zle/vDQGpw1cZZWUw8W7QZZSqSB7YfTLvzMnko6z2vPzrVqeX4zVHd3FWow+c3AelzAr3unfm8vmCqjVkdjcFP9GqYzTA1VD6mv/OdarHn9i/NVGREVx0WEenQvk7Mzbxy0r/2L6qsHz7fm5+fz6zAtQbWuIKVh4XIOi2qsVeBUEQGiLtUuO584Re/H7fsbx08VCO7tGS9KRYEmIiufW4Hrxx+XAGdUjl4VP7EhfG4rqCEG7EwhcIrWH9FFO/bvmXsNsUPn637ETWaJMN9fR3K8m3Mmj7tknm0lGdnI/3aZPM+cM78MGcLazPOcAdHy5i6bb9PHRKnwprZdkKX4cW8fRra8qQDGqfwhmD2/LFwu2st+ruRUYoLhhhgoCjIiN49vzBnPTcdPIKS7j7k0VMuv2YKrfXKSwp5Yb/zWPz7oPM3rCb6feOJTbKN6nZFseYyAhuPa5HuWQRyWoVBKEpEB0ZwckD2nDygDbl3juuj1j2hMaPWPgCMfkR05ni12ccZW9PfEf+UXimM2RffjFFpWVERij+emb/clW2Hz+9P3eP7+UoXm/8uoFr35nH/2ZuorCkfA+8nfsLmLfZNAQ/qX8bRzFUSvH3cwdx8gBj8euclsC7Vx3GQJflr0OLBB4/3WQX5+QVcffHi/x6OlbEf3/f6LS+ycot5MsF2/3eX7x1LwC92yQxoF0KIzr7+h0e3jVNLHyCIAiC0AgQC5+LnE3L2br0DdqveAMArSIoS+/H9s5ncvpvnckjjj5tkmmeEM3v63bRKS2BJ84Y4NTHcxMTFcFNY7tzxpB2nPvy72zfV8DkFTuZvGInE2Zv5u7xvejWqhkdWiRQUFzK7R8sdBIhbHeuTXRkBC9eNJR12Xl0bJHoNBB3c+aQdvyyKpuvF23nl1XZPP/zWm4bF6AsjIs9B4p4/if/Pr+vTl/POcPaExGhKC3TLN1msoMHtEtBKcX7145iQ84BEmOjaJsSV+/9DwVBEARBqBxR+Fy0/OZK2qcbd2a2TuGswkfZsimDyC1G+YmMUDx0Sh+Gd27Okq376N8updKYjnap8Uy4bhRPf7eS2Rt2s+tAEcu27+eKt+YAcGzvdLJzC51YufH9MgIWEjUBosErlSuleOLM/izbto/1OQd4ZvJqDhaVcOOYbkFb7bw/ezO5hb5yA1NXZ7M2K4/3Zm/m0lGdWJedR36xsUYOsiyK0ZER9MxoHBXTBUEQBEEwiEs3AKvK2nN50b1s0b7yAgB/Ob0/R3ZvSWxUJMM7t6hyAG+ntERevmQYM+4/juuO6erXueznlVmOsndY5xY8d8GQGlvNkuOieeXSYU5fv1emref4Z6Yxb9MeZ0xBcSm/rMxi9obdvDdzEwC9MpJ4/qIhpFudOh7/ehlfLdrul0QyoH3VCpsKgiAIgtDwkE4b+DptLLghmfzz3iOp59EUlpSRua+AjbsOsHVPPkM7poasWnrmvgLW5+Tx9aLtfDR3K0lxUVwyshM3julGYgjqNi3aspfHv1nuKHoRCpLjo4mKUOQVljg9IW2ePHMAF43syLxNu7ng1Znl+vjGRUew9NHx5eIUBUEQBEGoe6TTRi1Z3uUyLhp7atiP0zoljtYpcRzRrSX3ndiH+JjIgHF5NWVQh1Q+ueFw3pu1mUe/WkZJmWbvweKAY5PjojhjiOmKMaxTC/529kDu/2wJhSVGKYyPjuTOE3qKsicIgiAIjRhR+FwMPOm6Oj9mSkJ0WParlOKSUZ0Y2D6FbxbvoLC4lJIyTVSEYljnFvy4fCdTV2Xx4Cl9/PrdnjW0Pcf3zWDW+t0UlJQyumcrkuLCI6MgCIIgCHWDKHwuVETTs2INbJ/qV8LF5rQKet0mxUU77ZEEQRAEQWj8ND0NRxAEQRAEQfBDFD5BEARBEIQmjih8giAIgiAITRxR+ARBEARBEJo4ovAJgiAIgiA0cUThEwRBEARBaOKIwicIgiAIgtDEEYVPEARBEAShiSMKnyAIgiAIQhNHFD5BEARBEIQmjih8giAIgiAITRxR+ARBEARBEJo4ovAJgiAIgiA0caLqW4AGQgzA2rVr61sOQRAEQRCECnHpKzFV/YwofIb+AGeccUY9iyEIgiAIglBl+gMLqjJQFD7Dauv5HGBlBeOWYimHVaAux3YDvgROB9bVw/GrM64xyeolkOyh2G91xtZkn1WRu6HIGgiv/HV9/JqOrc75Ut+yesdWJHt9y1qVcbb8hOH41Rlb3X2eTtXOmYYga1XuQ6HYb23GVWWsW+4v6+H4tRkLPv2lUpTWuqpjmyxKqX5YP7TWelkF47TWWlVxn3U2NpD89S1rsHGNSdYA46p0njQEWd1jqyJ3Q5E1yHt+8tf18Ws6tjrnS33L6h1bkez1LWtVxrnkp6HL6h6LudnXy70oHPehhiprMLmBpY1hbrHHWn9W6X4EkrRRXR5rRGMP9eNXZ2x19lkd6lvW+h57qB+/OjQEWRvL71qdfb4UhuNXZ2x9/1bVGVvfx6/O2EP9+FC9cxsQCx9QfctNQ6Mxyd+YZPXSWGVvrHLbNFb5G6vc0Lhlh8Yrf2OVGxqv7IeS3GLhEwRBEARBaOKIwmfIxphSs+tbkBrSmORvTLJ6aayyN1a5bRqr/I1VbmjcskPjlb+xyg2NV/ZDRm5x6QqCIAiCIDRxxMInCIIgCILQxBGFTxAEQRAEoYkjCp8gCIIgCEITRxQ+QRAEQRCEJk6TVfiUUlcopbRSanh9y1JdXLIHevyjGvt5WymVVwcyjgnwvlJKrbXenxIOGUKJUupWS9allY+ue5rg791or0+b2nwH63OPhkGsio7ZoM/xYCilRiqlPldKbVZKFSqldiqlZiil/lnfslUVpdQopdTHSqkdSqkipVSmUuoTpdThNdhXX6XUo0qpzmEQ1T6GfW4XKKU6BXh/SkM8jwLcOwus3/oXpdT9Sqn0+paxPmmyCl8T4UrgcM/j3/UqUXlygasDbB+N6VGYW7fi1JirrOd+SqmR9SpJxTSV31uoexrLOe6glDoF+B1IBu4BTgBuA34Dzq9H0aqMUuoWjLztMd9hHHAX0A74VSl1czV32Rd4BOgcQjGDEQv8tQ6OE2rse+fxwE3AQuBeYIVSalw9ylWviMLXsFmqtZ7peWyub6E8fAicrZRK9my/GpgBhExepVR8qPbl2e9wYBDwrbUpkEJVm/0nhHB3dfZ7C02HcJ/jYeQeYAMwXmv9gdZ6qvV8F9CxnmWrFKXUkcCzwETgaK31u1rraVrr/wFHW9ufs8Y1RCYBFymlBtW3INXEvndO11p/qrW+AxgIHAA+U0pl1LN89cIho/AppYYrpT5QSm1USuVbzxO85mqXSXisUuplpVSOUmqXUuozpVTb+pLfi1LqfMutcUAplaeU+l4pNSTI2H5KqZ+ssdlKqRdCqIRMsJ4vdB0vBTgbeDOALI8opWYppXYrpfYrpeYrpa5WSnkbcW9USn2jlDpLKbVAKVWAWdWGA/vmdx/GmnCB+/dRSnW2zol7lFIPWq6lAqXUXKXUcR65H7XGDrVcNnuAdSGUNeS/t1LqDev9cueEUupnpVTY2w1ZLqIpAba/rZTa6Hpt/y/uUkr9SSm1wTr/ZyilRoVbzoqo6neoJyo7x8eoAOECrt/7Cs/2a5VSq5VxsS5XSl0Upu+ZBuRorUu8b2ityzwyVTonWjLmhXlOdHM/oIEbvd/Bev1H6/37XDL2tu5NO63fd7NS6h2lVKz1f/jYGvqL8rkurwiD7AD/B+wC/lbRIKVUnFLqKet6LFJKbVNKvaiUSnWN+UIptUkpVU7vsOao+SGX3oVlLLkTSAKudx17uFLqK2sOLLDuN+cFkLGdUupVpdQW6ztut+b4RqM8HjIKH8b8vQq4HRiPMe+2AeYopVoGGP86UAxchFlljgH+VwdyuolUSkW5HwBKqQcwN/7lwHnApZiTeLpSqq9nH9GYVeRPwBnAC5iT/cMQybgf+ASfuwiMMlIW5BidgVcsuc8CPgOeB/4cYOxQ4O8YN/aJwKchktlBGavhhcAcrfVSjNKUBJwbYPjNlhy3A5dgvuN3KnAczmfAWms/N4RQ5HD83s8BzTHnuoN1Lo0FXgyN6CHlJoy75nbgYiARmGgpv4KLap7jVdnfdcCrwGLMOfVXzGJsTCjk9TADGKmU+rcysXzRQWRqSHOiLVMk5vqZq7XeGmiM1noLMA84VikVqYwlbQ4wCngYOAmjNMYCMRgL7QPWx2/CF+rzLeEhF/P/Ha+UOjbQAGvx+AXGTf0ucArwL+By4GelVKw19E2MVfZYz+d7A4cBb4VBfi8TgVLgGOvYYzHu9lTMPH06xv37oVuJVkq1w/xfzsR8t5Mwc88+zNzZONBaN8kHcAVm5TQ8yPuRmJtEHnBrgM+96Bl/t7W9dR3KHujRAaOI/tvzmWbADuBD17a3rc/c6hn7gLX9yFD8vpiJXgP9rPdmA29Zfy8FpgTZRwQQhVE+crA6v1jvbQRKgJ5h/q0vtWS/3vU75gLTXGM6W2O2AXGu7UmY1e+Prm2PWmMfC9f5HKbfewqwwDP+JcyE1iyM5/hw1/HLyW2dwxsD/C8WA5Gu7SOs7ReE83wJxXewtmng0TqSsyrnuH1OjfF81v69r3CdQzuAmZ5xHYEi7/cMgexpwHR8818R5gZ9n31e0kDmxACyZ1j7nFDJuA+scekYJXQP0KqC8ecE+l+F69zGKJrrMAqP3Z1rCsZtCsaAooG7Pfs4z9p+rfU6CsgE3vOM+xtQCKSFUu4KxmQCy62/VwDzgSjPmK+B7UCE9foN69zrE67fvC4eh4yFTynVTCn1N2UyGUswykQeRunrE+AjX3leL7aey2UshZHLMDcy92M85sJ5x2P5KwCmEniV/Z7n9fvW89gQyTkVMyFcpZQaYMlZzr0IoJQ6Vik1WSm1D7PSKgYex0zs3gyqxVrr1SGSMRhXA/mYSRetdR7GZXK0UqqHZ+xnWusC+4XWOhczMRxjrebdhNwa6SIcv/dzwGBlxRIpEyN4KfBf6zdpaHyrtS51va6P67OxUJ1zvDJ6Aa2Bj9wbtXGX/VZ7Uf3RWu/SWh+NOcfvA74EegJPAUss70xDnBOrgx1eEY9JvvpIa91g+rpqrYuAhzDKXzlXJz6L3due7R9jYuaOs/ZTgvGSnWVb4q1581LgS631rpALHxhlHbs70BvrXPCcOxMxHsBe1mdOAn7RWq+oIxnDwiGj8GEu6JsxrtrxGBPyCEzj4UDJAN6Tr9B6DkviQBBWaK3nuh+YVSOY1Vax53E+4HVPlwS4kDKt57RQCKnNEugtjJvzBmC11nq6d5xS6jDgB+vltcCRmP/BE9Y272+7IxTyBcO64I/BuEOUUirVijn5xBpylecjmZQnE7MCbubZHjbZw/R7f4mxqt5kvb4CsxhqiO5c8FyfWuv6uD4bPDU4xyvDnjN2Bngv0LaQYM1/f9Nanwu0BZ7BWB/voQHOiRY5wEGgSyXjOlvjSjCep4Du33rmA4wl7IkAbvU0zG/qp6Ra81Qm/r/pm0AccIH1ejxGsaoLdy5KqURLnu34zpt/UP68ecl6zz53WtEw/y/VIqq+BagLrNXEqRg329Ou7bFAi3oTrGbkWM/nAJuqMD5KKZXmmeBaW8+hXFG9jbEc3QA8GGTMBZiL6VS3pUwpdUaQ8TqE8gXiKsxq7xzr4eVypdRDrtetA4xpjTH1e61g4Zb9bUL4e2uty5RSLwJPKqXuxAST/6S1XhViuYNRAASKvwsUX9tQaYjfoarnuH1+xHre98puzxmBAtUDXR8hR2tdrJR6DLgD6I9ZrEADmxO11qVKqV+AE5VS7XWAOD6lVHtgGPAdsBtjhW8fKhlChdZaK6XuBX4ErvO8vQvzm7ZyK31WbF9rjCJu72e5Umo2pmzKK9bzdnwL03BzCkapnoLvXvoUJrY5EPb8l00D/L9Ul0PFwqcxk16hZ/s1mH9+Y+J7zEqwm9f657ICernY89oOzp8SKqG01tswCRZfA/8NNgwju+OKswLKLw2VHFXFciVcjnGNjg3w+Cdm5XmS62NnKaXiXPtIAv4ATPe4F8NOmH7v1zHK63sYV8YLoZK3CmwEeroCvFFKpQFH1KEMtWUjDeg7VPMc32h9bKBnN6d5Xq/CWG38XHtKqY6E4XsqpdoEecsOw9lOA50TLZ7C3Hte8oZ9WK9ftt5/Smudj3FBnxskkdCmXqzZWuvJGIXvYfw9Gj9Zz5d4PnI2xkvwk2f7W5hEnKMw8+d/62L+tM7Rf2Dikl+xFrNrgEHBzhsrbAeMQj5WKdUryO4bBYeChU9rrfcrpaYBdyulcjCT22hMbMveepSt2mitNyqlHsaY1rti6iTtway4DwMOaK0fcX2kCLhTKdUMs9I6AhOP8Z3W+tcQy3ZfJUO+Bf4EvK+UehVjWr+L8op4XXASxjV0r9Z6ivdNZarI34w5R+6wNpcCPyql/oVZLN2LKQj7iPfzdUGof2+t9V6l1DvAjRhLydchFDcYtiX0XUym5P+UUq9Zst6DyUpu6DTU71Dlc1xr/Y1SajJwvzKlhDZhYq/Ocn/GsgQ/AryilPoE46JLxVwDOzDZ4qHke6XUVsy5uBJz3Q3GlNfIA55r4HPib0qp2zG1+H5VSr2AqZXZERM+MRK4XWv9u/WRPwG/ArOUUk9jMv0zMIr39ZYCYne4uE4plYuxzm6ooxi4ezFZxemAXa7pR4zS/Tcr9vc3zMLhMWAB5rpwMwGT6ToBY1F+Owxy9rdi8aIsWY/GWBNLgTNdlsjrMZUWvrfk2Ibx+vUBhlohBODLmJ6mlHoSWII5708E/qW1XhmG7xB66iNTpC4e+Oob9bdet8PErezGTMDfAf0wyt/brs9dQYAsH4JksYVJ9oAyeMacDvyMWa0UWN/jY+A415i3MZPiAOAXTJzILkx8QmK4ZbTG+WWNYi66lZbM6zCB2FdZ++rsGrcR+CaMv/HnGMWnomy4CRiX6EhLvnswF/4W67PzgRM8n3nUGtuyrs+J2vzervGjrffuDfM57nd9Wtsuw5TVyMf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    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots(dpi=120)\n", - "timeseries.plot(ax=ax)\n", - "ax.set_title(\"Increased discharge due to irrigation\")" - ] - }, - { - "cell_type": "markdown", - "id": "d7d57386", - "metadata": {}, - "source": [ - "## Clean up\n", - "\n", - "It is good practice to remove model instances once you're done with an experiment. This will free up resources on the system." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "793f9594", - "metadata": {}, - "outputs": [], - "source": [ - "reference.finalize()\n", - "experiment.finalize()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.2" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/plugins/pcrglobwb/data/Rhine/Rhine.dbf b/docs/plugins/pcrglobwb/data/Rhine/Rhine.dbf deleted file mode 100644 index cda7f8805102a14c6768e70f79003663360dad07..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1496 zcmaKq-)_?|6vjIZO>78pi@5R&5c&9D?8|J)L^PIEO)KEa3R^BJtsCmv4PKPz!Hu2L 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a/docs/plugins/pcrglobwb/generate_forcing.ipynb +++ /dev/null @@ -1,302 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![image](https://github.com/eWaterCycle/ewatercycle/raw/main/docs/examples/logo.png)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Generate forcing in eWaterCycle with ESMValTool\n", - "\n", - "This notebooks shows how to generate forcing data for PCR-GLOBWB model using ERA5 data and [ESMValTool hydrological recipes](https://docs.esmvaltool.org/en/latest/recipes/recipe_hydrology.html#pcr-globwb). More information about data, configuration and installation instructions can be found in the [System setup](https://ewatercycle.readthedocs.io/en/latest/system_setup.html) in the eWaterCycle documentation." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import logging\n", - "import warnings\n", - "\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "logger = logging.getLogger(\"esmvalcore\")\n", - "logger.setLevel(logging.WARNING)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import xarray as xr\n", - "from rich import print\n", - "\n", - "import ewatercycle.forcing" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Forcing for PCRGlobWB is created using the ESMValTool recipe. It produces one file per each variable: temperature, and precipitation. You can set the start and end date, and the region. See [eWaterCycle documentation](https://ewatercycle.readthedocs.io/en/latest/apidocs/ewatercycle.forcing.html#submodules) for more information. " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "pcrglobwb_forcing = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].generate(\n", - " dataset=\"ERA5\",\n", - " start_time=\"1990-01-01T00:00:00Z\",\n", - " end_time=\"1992-12-31T00:00:00Z\",\n", - " shape=\"./data/Rhine/Rhine.shp\",\n", - " start_time_climatology=\"1990-01-01T00:00:00Z\",\n", - " end_time_climatology=\"1992-01-01T00:00:00Z\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "

    PCRGlobWBForcing(\n",
    -       "    model='pcrglobwb',\n",
    -       "    start_time='1990-01-01T00:00:00Z',\n",
    -       "    end_time='1992-12-31T00:00:00Z',\n",
    -       "    directory=PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/pcrglobwb/esmvaltool_output/tmpkv4k\n",
    -       "9d74recipe_pcrglobwb_20230731_103531/work/diagnostic_daily/script'),\n",
    -       "    shape=PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/pcrglobwb/esmvaltool_output/tmpkv4k9d74\n",
    -       "recipe_pcrglobwb_20230731_103531/work/diagnostic_daily/script/data/Rhine/Rhine.shp'),\n",
    -       "    precipitationNC='pcrglobwb_OBS6_ERA5_reanaly_1_day_pr_1990-1992_Rhine.nc',\n",
    -       "    temperatureNC='pcrglobwb_OBS6_ERA5_reanaly_1_day_tas_1990-1992_Rhine.nc'\n",
    -       ")\n",
    -       "
    \n" - ], - "text/plain": [ - "\u001b[1;35mPCRGlobWBForcing\u001b[0m\u001b[1m(\u001b[0m\n", - " \u001b[33mmodel\u001b[0m=\u001b[32m'pcrglobwb'\u001b[0m,\n", - " \u001b[33mstart_time\u001b[0m=\u001b[32m'1990-01-01T00:00:00Z'\u001b[0m,\n", - " \u001b[33mend_time\u001b[0m=\u001b[32m'1992-12-31T00:00:00Z'\u001b[0m,\n", - " \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/pcrglobwb/esmvaltool_output/tmpkv4k\u001b[0m\n", - "\u001b[32m9d74recipe_pcrglobwb_20230731_103531/work/diagnostic_daily/script'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/verhoes/git/eWaterCycle/ewatercycle/docs/plugins/pcrglobwb/esmvaltool_output/tmpkv4k9d74\u001b[0m\n", - "\u001b[32mrecipe_pcrglobwb_20230731_103531/work/diagnostic_daily/script/data/Rhine/Rhine.shp'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mprecipitationNC\u001b[0m=\u001b[32m'pcrglobwb_OBS6_ERA5_reanaly_1_day_pr_1990-1992_Rhine.nc'\u001b[0m,\n", - " \u001b[33mtemperatureNC\u001b[0m=\u001b[32m'pcrglobwb_OBS6_ERA5_reanaly_1_day_tas_1990-1992_Rhine.nc'\u001b[0m\n", - "\u001b[1m)\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print(pcrglobwb_forcing)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plot forcing" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
    <xarray.Dataset>\n",
    -       "Dimensions:    (time: 1461, lat: 23, lon: 31, bnds: 2)\n",
    -       "Coordinates:\n",
    -       "  * time       (time) datetime64[ns] 1989-01-01 1989-01-02 ... 1992-12-31\n",
    -       "  * lat        (lat) float32 52.0 51.75 51.5 51.25 ... 47.25 47.0 46.75 46.5\n",
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    -       "Data variables:\n",
    -       "    tas        (time, lat, lon) float32 277.5 277.1 276.8 ... 263.5 262.3 262.5\n",
    -       "    time_bnds  (time, bnds) datetime64[ns] 1988-12-31T12:00:00 ... 1992-12-31...\n",
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    -       "    lon_bnds   (lon, bnds) float32 4.125 4.375 4.375 4.625 ... 11.62 11.62 11.88\n",
    -       "Attributes:\n",
    -       "    software:     Created with ESMValTool v2.8.1\n",
    -       "    Conventions:  CF-1.7\n",
    -       "    caption:      Forcings for the PCR-GLOBWB hydrological model.\n",
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    ------------------------\n",
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    \n" - ], - "text/plain": [ - "------------------------\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
    <xarray.Dataset>\n",
    -       "Dimensions:    (time: 1461, lat: 23, lon: 31, bnds: 2)\n",
    -       "Coordinates:\n",
    -       "  * time       (time) datetime64[ns] 1989-01-01 1989-01-02 ... 1992-12-31\n",
    -       "  * lat        (lat) float32 52.0 51.75 51.5 51.25 ... 47.25 47.0 46.75 46.5\n",
    -       "  * lon        (lon) float32 4.251 4.501 4.751 5.001 ... 11.0 11.25 11.5 11.75\n",
    -       "Dimensions without coordinates: bnds\n",
    -       "Data variables:\n",
    -       "    pr         (time, lat, lon) float32 0.001883 0.00164 ... 1.596e-16 1.596e-16\n",
    -       "    time_bnds  (time, bnds) datetime64[ns] 1988-12-31T12:00:00 ... 1992-12-31...\n",
    -       "    lat_bnds   (lat, bnds) float32 52.12 51.88 51.88 51.62 ... 46.62 46.62 46.38\n",
    -       "    lon_bnds   (lon, bnds) float32 4.125 4.375 4.375 4.625 ... 11.62 11.62 11.88\n",
    -       "Attributes:\n",
    -       "    software:     Created with ESMValTool v2.8.1\n",
    -       "    Conventions:  CF-1.7\n",
    -       "    caption:      Forcings for the PCR-GLOBWB hydrological model.\n",
    -       "
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", 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", 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    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "for file_name in [pcrglobwb_forcing.temperatureNC, pcrglobwb_forcing.precipitationNC]:\n", - " dataset = xr.load_dataset(f\"{pcrglobwb_forcing.directory}/{file_name}\")\n", - " print(dataset)\n", - " print(\"------------------------\")\n", - " var = list(dataset.data_vars.keys())[0]\n", - " dataset[var].isel(time=-1).plot(cmap=\"coolwarm\", robust=True, size=5)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.9" - }, - "metadata": { - "interpreter": { - "hash": "a8aa8210cb3d81d2b5c08b30572e78ad19bd30da92b4caf9890388bc07c5e3bf" - } - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/plugins/pcrglobwb/index.rst b/docs/plugins/pcrglobwb/index.rst deleted file mode 100644 index 1b5045bd..00000000 --- a/docs/plugins/pcrglobwb/index.rst +++ /dev/null @@ -1,11 +0,0 @@ -Welcome to the PCRGlobWB model plugin -===================================== - -Examples --------- - -.. toctree:: - - Model - Generate forcing - Irrigation experiment diff --git a/docs/plugins/pcrglobwb/model.ipynb b/docs/plugins/pcrglobwb/model.ipynb deleted file mode 100644 index aa5b1dd9..00000000 --- a/docs/plugins/pcrglobwb/model.ipynb +++ /dev/null @@ -1,973 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![ewatercycle logo](https://raw.githubusercontent.com/eWaterCycle/ewatercycle/main/docs/examples/logo.png)\n", - "\n", - "# PCRGlobWB example use case\n", - "\n", - "This example shows how the [PCRGlobWB model](https://globalhydrology.nl/research/models/pcr-globwb-2-0/) can be used within the eWaterCycle system. It is based on the example use case from https://github.com/UU-Hydro/PCR-GLOBWB_input_example.\n", - "\n", - "This example use case assumes that the ewatercycle platform has been installed and configured on your system. See our [system setup documentation](https://ewatercycle.readthedocs.io/en/latest/system_setup.html) for instructions if this is not the case." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# This cell is only used to suppress some distracting output messages\n", - "import warnings\n", - "\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "from rich import print\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Loading a parameter set" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "A set of (example) parameter sets come pre-installed on the eWaterCycle system (see [system setup](https://ewatercycle.readthedocs.io/en/latest/system_setup.html) if this is not the case)." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['lisflood_fraser', 'pcrglobwb_rhinemeuse_30min', 'wflow_rhine_sbm_nc'])" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sets = ewatercycle.parameter_sets.available_parameter_sets()\n", - "sets.keys()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Existing parametersets can easily be loaded:" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
    ParameterSet(\n",
    -       "    name='pcrglobwb_rhinemeuse_30min',\n",
    -       "    directory=PosixPath('/home/verhoes/git/eWaterCycle/parameter-sets/pcrglobwb_rhinemeuse_30min'),\n",
    -       "    config=PosixPath('/home/verhoes/git/eWaterCycle/parameter-sets/pcrglobwb_rhinemeuse_30min/ini_and_batch_files/d\n",
    -       "eltares_laptop/setup_natural_test.ini'),\n",
    -       "    doi='https://doi.org/10.5281/zenodo.1045339',\n",
    -       "    target_model='pcrglobwb',\n",
    -       "    supported_model_versions={'setters'},\n",
    -       "    downloader=GitHubDownloader(\n",
    -       "        org='UU-Hydro',\n",
    -       "        repo='PCR-GLOBWB_input_example',\n",
    -       "        branch='master',\n",
    -       "        subfolder='RhineMeuse30min'\n",
    -       "    )\n",
    -       ")\n",
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    \n" - ], - "text/plain": [ - "\u001b[1;35mParameterSet\u001b[0m\u001b[1m(\u001b[0m\n", - " \u001b[33mname\u001b[0m=\u001b[32m'pcrglobwb_rhinemeuse_30min'\u001b[0m,\n", - " \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/verhoes/git/eWaterCycle/parameter-sets/pcrglobwb_rhinemeuse_30min'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mconfig\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/verhoes/git/eWaterCycle/parameter-sets/pcrglobwb_rhinemeuse_30min/ini_and_batch_files/d\u001b[0m\n", - "\u001b[32meltares_laptop/setup_natural_test.ini'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mdoi\u001b[0m=\u001b[32m'https://doi.org/10.5281/zenodo.1045339'\u001b[0m,\n", - " \u001b[33mtarget_model\u001b[0m=\u001b[32m'pcrglobwb'\u001b[0m,\n", - " \u001b[33msupported_model_versions\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'setters'\u001b[0m\u001b[1m}\u001b[0m,\n", - " \u001b[33mdownloader\u001b[0m=\u001b[1;35mGitHubDownloader\u001b[0m\u001b[1m(\u001b[0m\n", - " \u001b[33morg\u001b[0m=\u001b[32m'UU-Hydro'\u001b[0m,\n", - " \u001b[33mrepo\u001b[0m=\u001b[32m'PCR-GLOBWB_input_example'\u001b[0m,\n", - " \u001b[33mbranch\u001b[0m=\u001b[32m'master'\u001b[0m,\n", - " \u001b[33msubfolder\u001b[0m=\u001b[32m'RhineMeuse30min'\u001b[0m\n", - " \u001b[1m)\u001b[0m\n", - "\u001b[1m)\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "parameter_set = sets[\"pcrglobwb_rhinemeuse_30min\"]\n", - "print(parameter_set)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "It is also possible to load a custom parameterset by passing in the relevant parameters directly:" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "custom_parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory=\"/home/peter/ewatercycle/ewatercycle/docs/examples/parameter-sets/pcrglobwb_rhinemeuse_30min\",\n", - " config=\"/home/peter/ewatercycle/ewatercycle/docs/examples/parameter-sets/pcrglobwb_rhinemeuse_30min/setup_natural_test.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Load forcing data\n", - "\n", - "For this example case, the forcing is already included in the parameter set and configured correctly. Therefore in principle this step can be skipped. However, for the purpose of illustration, we show how the forcing would be loaded using the `ewatercycle.forcing` module, as if it came from another source. To learn about forcing generation, see our [preprocessing examples](https://ewatercycle.readthedocs.io/en/latest/examples/generate_forcing.html)." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Forcing data for PCRGlobWB\n", - "--------------------------\n", - "Directory: /home/peter/ewatercycle/ewatercycle/docs/examples/parameter-sets/pcrglobwb_rhinemeuse_30min/forcing\n", - "Start time: 2001-01-01T00:00:00Z\n", - "End time: 2010-12-31T00:00:00Z\n", - "Shapefile: None\n", - "Additional information for model config:\n", - " - temperatureNC: temperature_2001to2010.nc\n", - " - precipitationNC: precipitation_2001to2010.nc\n" - ] - } - ], - "source": [ - "forcing = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"](\n", - " start_time=\"2001-01-01T00:00:00Z\",\n", - " end_time=\"2010-12-31T00:00:00Z\",\n", - " directory=\"./parameter-sets/pcrglobwb_rhinemeuse_30min/forcing\",\n", - " shape=None, # if available, it can be used e.g. for plotting\n", - " forcing_info=dict(\n", - " # model-specific options\n", - " precipitationNC=\"precipitation_2001to2010.nc\",\n", - " temperatureNC=\"temperature_2001to2010.nc\",\n", - " ),\n", - ")\n", - "print(forcing)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Setting up the model\n", - "\n", - "Note that the model version and the parameterset versions should be compatible." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('setters',)" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ewatercycle.models.PCRGlobWB.available_versions" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "eWaterCycle PCRGlobWB\n", - "-------------------\n", - "Version = setters\n", - "Parameter set = \n", - " Parameter set\n", - " -------------\n", - " name=pcrglobwb_rhinemeuse_30min\n", - " directory=/home/peter/ewatercycle/ewatercycle/docs/examples/parameter-sets/pcrglobwb_rhinemeuse_30min\n", - " config=/home/peter/ewatercycle/ewatercycle/docs/examples/parameter-sets/pcrglobwb_rhinemeuse_30min/setup_natural_test.ini\n", - " doi=N/A\n", - " target_model=pcrglobwb\n", - " supported_model_versions={'setters'}\n", - "Forcing = \n", - " Forcing data for PCRGlobWB\n", - " --------------------------\n", - " Directory: /home/peter/ewatercycle/ewatercycle/docs/examples/parameter-sets/pcrglobwb_rhinemeuse_30min/forcing\n", - " Start time: 2001-01-01T00:00:00Z\n", - " End time: 2010-12-31T00:00:00Z\n", - " Shapefile: None\n", - " Additional information for model config:\n", - " - temperatureNC: temperature_2001to2010.nc\n", - " - precipitationNC: precipitation_2001to2010.nc\n" - ] - } - ], - "source": [ - "pcrglob = ewatercycle.models.PCRGlobWB(\n", - " version=\"setters\", parameter_set=parameter_set, forcing=forcing\n", - ")\n", - "print(pcrglob)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "eWaterCycle exposes a selected set of configurable parameters. These can be modified in the `setup()` method." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[('start_time', '2001-01-01T00:00:00Z'),\n", - " ('end_time', '2001-01-01T00:00:00Z'),\n", - " ('routing_method', 'accuTravelTime'),\n", - " ('max_spinups_in_years', '20')]" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pcrglob.parameters" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Calling `setup()` will start up a container. Be careful with calling it multiple times!" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Running /home/peter/ewatercycle/ewatercycle/ewatercycle-pcrg-grpc4bmi-setters.sif apptainer container on port 50639\n" - ] - }, - { - "data": { - "text/plain": [ - "('/home/peter/ewatercycle/ewatercycle/docs/examples/pcrglobwb_20210714_141432/pcrglobwb_ewatercycle.ini',\n", - " '/home/peter/ewatercycle/ewatercycle/docs/examples/pcrglobwb_20210714_141432')" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg_file, cfg_dir = pcrglob.setup(\n", - " end_time=\"2001-02-28T00:00:00Z\", max_spinups_in_years=5\n", - ")\n", - "cfg_file, cfg_dir" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[('start_time', '2001-01-01T00:00:00Z'),\n", - " ('end_time', '2001-02-28T00:00:00Z'),\n", - " ('routing_method', 'accuTravelTime'),\n", - " ('max_spinups_in_years', '5')]" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pcrglob.parameters" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note that the parameters have been changed. A new config file which incorporates these updated parameters has been generated as well. If you want to see or modify any additional model settings, you can acces this file directly. When you're ready, pass the path to the config file to `initialize()`." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob.initialize(cfg_file)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Running the model\n", - "\n", - "Simply running the model from start to end is straightforward. At each time step we can retrieve information from the model." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2001-02-27T00:00:00Z\r" - ] - } - ], - "source": [ - "while pcrglob.time < pcrglob.end_time:\n", - " print(pcrglob.time_as_isostr, end=\"\\r\")\n", - " pcrglob.update()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Interacting with the model" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "PCRGlobWB exposes many variables. Just a few of them are shown here:" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('total_abstraction',\n", - " 'livestockWaterWithdrawalVolume',\n", - " 'desalination_source_abstraction',\n", - " 'discharge',\n", - " 'temperature',\n", - " 'upper_soil_transpiration',\n", - " 'snow_water_equivalent',\n", - " 'total_runoff',\n", - " 'transpiration_from_irrigation',\n", - " 'fraction_of_surface_water')" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "list(pcrglob.output_var_names)[-15:-5]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Model fields can be fetched as xarray objects (or as flat numpy arrays using `get_value()`):" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
    \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
    <xarray.DataArray 'discharge' (latitude: 3, longitude: 4)>\n",
    -       "array([[         nan,          nan,          nan,          nan],\n",
    -       "       [         nan,  74.54685211,  10.38944435,          nan],\n",
    -       "       [         nan, 188.07923889,          nan,          nan]])\n",
    -       "Coordinates:\n",
    -       "  * longitude  (longitude) float64 3.75 6.25 8.75 11.25\n",
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    " - ], - "text/plain": [ - "\n", - "array([[ nan, nan, nan, nan],\n", - " [ nan, 74.54685211, 10.38944435, nan],\n", - " [ nan, 188.07923889, nan, nan]])\n", - "Coordinates:\n", - " * longitude (longitude) float64 3.75 6.25 8.75 11.25\n", - " * latitude (latitude) float64 46.25 48.75 51.25\n", - " time object 2001-02-28 00:00:00\n", - "Attributes:\n", - " units: m3.s-1" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "da = pcrglob.get_value_as_xarray(\"discharge\")\n", - "da.thin(5) # only show every 5th value in each dim" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Xarray makes it very easy to plot the data. In the figure below, we add three points that we will use to illustrate that we can also access individual grid cells." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure(dpi=120)\n", - "ax = fig.add_subplot(111, projection=crs.PlateCarree())\n", - "da.plot(ax=ax, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax.add_feature(cfeature.OCEAN)\n", - "ax.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax.coastlines()\n", - "\n", - "# Add some verification points\n", - "target_longitudes = [7.8, 10.2, 11]\n", - "target_latitudes = [50.3, 49.8, 47]\n", - "ax.scatter(target_longitudes, target_latitudes, s=250, c=\"r\", marker=\"x\", lw=2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can get (or set) the values at custom points as well:" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([713.2911377 , 84.76369476, nan])" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pcrglob.get_value_at_coords(\"discharge\", lon=target_longitudes, lat=target_latitudes)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Cleaning up\n", - "\n", - "Models usually perform some \"wrap up tasks\" at the end of a model run, such as writing the last outputs to disk and releasing memory. In the case of eWaterCycle, another important teardown task is destroying the container in which the model was running. This can free up a lot of resources on your system. Therefore it is good practice to always call `finalize()` when you're done with an experiment." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob.finalize()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.9" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/plugins/pcrglobwb/pcrglobwb_merrimack.ini b/docs/plugins/pcrglobwb/pcrglobwb_merrimack.ini deleted file mode 100644 index a6158e07..00000000 --- a/docs/plugins/pcrglobwb/pcrglobwb_merrimack.ini +++ /dev/null @@ -1,466 +0,0 @@ -[globalOptions] - -# Set the pcrglobwb output directory in an absolute path. -outputDir = /data/output -# Set the input directory map in an absolute path. -# - The input forcing and parameter directories and files will be relative to this. -inputDir = /data/input - -# Map of clone (must be provided in PCRaster maps) -# - Spatial resolution and coverage are based on this map: -cloneMap = global_05min/cloneMaps/merrimack_05min.map -# The area/landmask of interest: -# If None, area/landmask is limited for cells with ldd value. -landmask = global_05min/cloneMaps/merrimack_05min.map - - -# netcdf attributes for output files: -institution = Department of Physical Geography, Utrecht University -title = PCR-GLOBWB 2 output (not coupled to MODFLOW) -description = by Edwin H. Sutanudjaja (contact: e.h.sutanudjaja@uu.nl) - -startTime = 2002-01-01 -endTime = 2002-12-31 -# Format: YYYY-MM-DD ; The model runs on daily time step. - - -# spinning up options: -maxSpinUpsInYears = 0 -minConvForSoilSto = 0.0 -minConvForGwatSto = 0.0 -minConvForChanSto = 0.0 -minConvForTotlSto = 0.0 - - - -[meteoOptions] - -# Set the forcing temperature and precipitation files (relative to inputDir) -precipitationNC = global_05min/meteo/pcrglobwb_OBS6_ERA5_reanaly_1_day_pr_2002-2016_merrimack.nc -temperatureNC = global_05min/meteo/pcrglobwb_OBS6_ERA5_reanaly_1_day_tas_2002-2016_merrimack.nc - -# Method to calculate referencePotETP (reference potential evaporation+transpiration) -# options are "Hamon" and "Input" ; If "Input", the netcdf input file must be given: -referenceETPotMethod = Hamon -refETPotFileNC = 'test' - -# variable names in the forcing files (optional) -precipitationVariableName = pr -temperatureVariableName = tas -referenceEPotVariableName = potentialEvaporation - -# conversion constants and factors to correct forcing values (optional) so that the units are in m.day-1 and degree Celcius -precipitationConstant = 0.0 -precipitationFactor = 1.0 -temperatureConstant = -273.15 -temperatureFactor = 1.0 -referenceEPotConstant = 0.0 -referenceEPotFactor = 1.0 - - -[meteoDownscalingOptions] -# This section is for a 5 arcmin run, for downscaling meteorological forcing at 30 arcmin to 5 arcmin. - -downscalePrecipitation = True -downscaleTemperature = True -downscaleReferenceETPot = True - -# downscaling (based on the digital elevation model): -# The downscaling will be performed by providing the "cellIds" (meteoDownscaleIds) of lower resolution cells. -meteoDownscaleIds = global_05min/meteo/downscaling_from_30min/uniqueIds_30min.map -highResolutionDEM = global_05min/meteo/downscaling_from_30min/gtopo05min.map - -# lapse rates: -temperLapseRateNC = global_05min/meteo/downscaling_from_30min/temperature_slope.nc -precipLapseRateNC = global_05min/meteo/downscaling_from_30min/precipitation_slope.nc - -# downscaling criteria (TODO: remove these): -temperatCorrelNC = global_05min/meteo/downscaling_from_30min/temperature_correl.nc -precipitCorrelNC = global_05min/meteo/downscaling_from_30min/precipitation_correl.nc - -# windows length (unit: arc-degree) for smoothing/averaging forcing data (not recommended): -smoothingWindowsLength = 0 - - -[landSurfaceOptions] -debugWaterBalance = True - -numberOfUpperSoilLayers = 2 - -# soil and parameters -# - they are used for all land cover types, unless they are are defined in certain land cover type options -# (e.g. different/various soil types for agriculture areas) -topographyNC = global_05min/landSurface/topography/topography_parameters_5_arcmin_october_2015.nc -soilPropertiesNC = global_05min/landSurface/soil/soilProperties5ArcMin.nc - - -includeIrrigation = True - -# netcdf time series for historical expansion of irrigation areas (unit: hectares). -# Note: The resolution of this map must be consisten with the resolution of cellArea. -historicalIrrigationArea = global_05min/waterUse/irrigation/irrigated_areas/irrigationArea05ArcMin.nc - -# a pcraster map/value defining irrigation efficiency (dimensionless) - optional -irrigationEfficiency = global_30min/waterUse/irrigation/irrigation_efficiency/efficiency.map - - -includeDomesticWaterDemand = True -includeIndustryWaterDemand = True -includeLivestockWaterDemand = True - -# domestic, industrial and livestock water demand data (unit must be in m.day-1) -domesticWaterDemandFile = global_05min/waterUse/waterDemand/domestic/domestic_water_demand_version_april_2015.nc -industryWaterDemandFile = global_05min/waterUse/waterDemand/industry/industry_water_demand_version_april_2015.nc -livestockWaterDemandFile = global_05min/waterUse/waterDemand/livestock/livestock_water_demand_version_april_2015.nc - - -# desalination water supply (maximum/potential/capacity) -desalinationWater = global_05min/waterUse/desalination/desalination_water_version_april_2015.nc - - -# zone IDs (scale) at which allocations of groundwater and surface water (as well as desalinated water) are performed -allocationSegmentsForGroundSurfaceWater = global_05min/waterUse/abstraction_zones/abstraction_zones_60min_05min.map - -# pcraster maps defining the partitioning of groundwater - surface water source -# -# - predefined surface water - groundwater partitioning for irrigation demand (e.g. based on Siebert, Global Map of Irrigation Areas version 5) -irrigationSurfaceWaterAbstractionFractionData = global_05min/waterUse/source_partitioning/surface_water_fraction_for_irrigation/AEI_SWFRAC.map -# -- quality map -irrigationSurfaceWaterAbstractionFractionDataQuality = global_05min/waterUse/source_partitioning/surface_water_fraction_for_irrigation/AEI_QUAL.map -# -# - threshold values defining the preference for surface water source for irrigation purpose -# -- treshold to maximize surface water irrigation use (cells with irrSurfaceWaterAbstractionFraction above this will prioritize irrigation surface water use) -treshold_to_maximize_irrigation_surface_water = 0.50 -# -- treshold to minimize fossil water withdrawal for irrigation (cells with irrSurfaceWaterAbstractionFraction below this have no fossil withdrawal for irrigation) -treshold_to_minimize_fossil_groundwater_irrigation = 0.70 -# -# - predefined surface water - groundwater partitioning for non irrigation demand (e.g. based on McDonald, 2014) -maximumNonIrrigationSurfaceWaterAbstractionFractionData = global_30min/waterUse/source_partitioning/surface_water_fraction_for_non_irrigation/max_city_sw_fraction.map - - -[forestOptions] - -name = forest -debugWaterBalance = True - -# snow module properties -snowModuleType = Simple -freezingT = 0.0 -degreeDayFactor = 0.0025 -snowWaterHoldingCap = 0.1 -refreezingCoeff = 0.05 - -# other paramater values -minTopWaterLayer = 0.0 -minCropKC = 0.2 - -cropCoefficientNC = global_05min/landSurface/landCover/naturalTall/cropCoefficientForest.nc -interceptCapNC = global_05min/landSurface/landCover/naturalTall/interceptCapInputForest.nc -coverFractionNC = global_05min/landSurface/landCover/naturalTall/coverFractionInputForest.nc - -landCoverMapsNC = None -# If NC file is not provided, we have to provide the following pcraster maps: -fracVegCover = global_05min/landSurface/landCover/naturalTall/vegf_tall.map -minSoilDepthFrac = global_30min/landSurface/landCover/naturalTall/minf_tall_permafrost.map -maxSoilDepthFrac = global_30min/landSurface/landCover/naturalTall/maxf_tall.map -rootFraction1 = global_05min/landSurface/landCover/naturalTall/rfrac1_tall.map -rootFraction2 = global_05min/landSurface/landCover/naturalTall/rfrac2_tall.map -maxRootDepth = 1.0 -# Note: The maxRootDepth is not used for non irrigated land cover type. -# -# Parameters for the Arno's scheme: -arnoBeta = None -# If arnoBeta is defined, the soil water capacity distribution is based on this. -# If arnoBeta is NOT defined, maxSoilDepthFrac must be defined such that arnoBeta will be calculated based on maxSoilDepthFrac and minSoilDepthFrac. - -# initial conditions: -interceptStorIni = global_05min/initialConditions/interceptStor_forest_1999-12-31.map -snowCoverSWEIni = global_05min/initialConditions/snowCoverSWE_forest_1999-12-31.map -snowFreeWaterIni = global_05min/initialConditions/snowFreeWater_forest_1999-12-31.map -topWaterLayerIni = global_05min/initialConditions/topWaterLayer_forest_1999-12-31.map -storUppIni = global_05min/initialConditions/storUpp_forest_1999-12-31.map -storLowIni = global_05min/initialConditions/storLow_forest_1999-12-31.map -interflowIni = global_05min/initialConditions/interflow_forest_1999-12-31.map - - -[grasslandOptions] - -name = grassland -debugWaterBalance = True - -# snow module properties -snowModuleType = Simple -freezingT = 0.0 -degreeDayFactor = 0.0025 -snowWaterHoldingCap = 0.1 -refreezingCoeff = 0.05 - -# other paramater values -minTopWaterLayer = 0.0 -minCropKC = 0.2 - -cropCoefficientNC = global_05min/landSurface/landCover/naturalShort/cropCoefficientGrassland.nc -interceptCapNC = global_05min/landSurface/landCover/naturalShort/interceptCapInputGrassland.nc -coverFractionNC = global_05min/landSurface/landCover/naturalShort/coverFractionInputGrassland.nc - -landCoverMapsNC = None -# If NC file is not provided, we have to provide the following values: -fracVegCover = global_05min/landSurface/landCover/naturalShort/vegf_short.map -minSoilDepthFrac = global_30min/landSurface/landCover/naturalShort/minf_short_permafrost.map -maxSoilDepthFrac = global_30min/landSurface/landCover/naturalShort/maxf_short.map -rootFraction1 = global_05min/landSurface/landCover/naturalShort/rfrac1_short.map -rootFraction2 = global_05min/landSurface/landCover/naturalShort/rfrac2_short.map -maxRootDepth = 0.5 -# Note: The maxRootDepth is not used for non irrigated land cover type. -# -# Parameters for the Arno's scheme: -arnoBeta = None -# If arnoBeta is defined, the soil water capacity distribution is based on this. -# If arnoBeta is NOT defined, maxSoilDepthFrac must be defined such that arnoBeta will be calculated based on maxSoilDepthFrac and minSoilDepthFrac. - -# initial conditions: -interceptStorIni = global_05min/initialConditions/interceptStor_grassland_1999-12-31.map -snowCoverSWEIni = global_05min/initialConditions/snowCoverSWE_grassland_1999-12-31.map -snowFreeWaterIni = global_05min/initialConditions/snowFreeWater_grassland_1999-12-31.map -topWaterLayerIni = global_05min/initialConditions/topWaterLayer_grassland_1999-12-31.map -storUppIni = global_05min/initialConditions/storUpp_grassland_1999-12-31.map -storLowIni = global_05min/initialConditions/storLow_grassland_1999-12-31.map -interflowIni = global_05min/initialConditions/interflow_grassland_1999-12-31.map - - -[irrPaddyOptions] - -name = irrPaddy -debugWaterBalance = True - -# snow module properties -snowModuleType = Simple -freezingT = 0.0 -degreeDayFactor = 0.0025 -snowWaterHoldingCap = 0.1 -refreezingCoeff = 0.05 -# -landCoverMapsNC = None -# If NC file is not provided, we have to provide the following values: -fracVegCover = global_05min/landSurface/landCover/irrPaddy/fractionPaddy.map -minSoilDepthFrac = global_30min/landSurface/landCover/irrPaddy/minf_paddy_permafrost.map -maxSoilDepthFrac = global_30min/landSurface/landCover/irrPaddy/maxf_paddy.map -rootFraction1 = global_30min/landSurface/landCover/irrPaddy/rfrac1_paddy.map -rootFraction2 = global_30min/landSurface/landCover/irrPaddy/rfrac2_paddy.map -maxRootDepth = 0.5 -# -# Parameters for the Arno's scheme: -arnoBeta = None -# If arnoBeta is defined, the soil water capacity distribution is based on this. -# If arnoBeta is NOT defined, maxSoilDepthFrac must be defined such that arnoBeta will be calculated based on maxSoilDepthFrac and minSoilDepthFrac. -# -# other paramater values -minTopWaterLayer = 0.05 -minCropKC = 0.2 -cropDeplFactor = 0.2 -minInterceptCap = 0.0002 - -cropCoefficientNC = global_30min/landSurface/landCover/irrPaddy/Global_CropCoefficientKc-IrrPaddy_30min.nc - -# initial conditions: -interceptStorIni = global_05min/initialConditions/interceptStor_irrPaddy_1999-12-31.map -snowCoverSWEIni = global_05min/initialConditions/snowCoverSWE_irrPaddy_1999-12-31.map -snowFreeWaterIni = global_05min/initialConditions/snowFreeWater_irrPaddy_1999-12-31.map -topWaterLayerIni = global_05min/initialConditions/topWaterLayer_irrPaddy_1999-12-31.map -storUppIni = global_05min/initialConditions/storUpp_irrPaddy_1999-12-31.map -storLowIni = global_05min/initialConditions/storLow_irrPaddy_1999-12-31.map -interflowIni = global_05min/initialConditions/interflow_irrPaddy_1999-12-31.map - - -[irrNonPaddyOptions] - -name = irrNonPaddy -debugWaterBalance = True - -# snow module properties -snowModuleType = Simple -freezingT = 0.0 -degreeDayFactor = 0.0025 -snowWaterHoldingCap = 0.1 -refreezingCoeff = 0.05 -# -landCoverMapsNC = None -# If NC file is not provided, we have to provide the following values: -fracVegCover = global_05min/landSurface/landCover/irrNonPaddy/fractionNonPaddy.map -minSoilDepthFrac = global_30min/landSurface/landCover/irrNonPaddy/minf_nonpaddy_permafrost.map -maxSoilDepthFrac = global_30min/landSurface/landCover/irrNonPaddy/maxf_nonpaddy.map -rootFraction1 = global_30min/landSurface/landCover/irrNonPaddy/rfrac1_nonpaddy.map -rootFraction2 = global_30min/landSurface/landCover/irrNonPaddy/rfrac2_nonpaddy.map -maxRootDepth = 1.0 -# -# Parameters for the Arno's scheme: -arnoBeta = None -# If arnoBeta is defined, the soil water capacity distribution is based on this. -# If arnoBeta is NOT defined, maxSoilDepthFrac must be defined such that arnoBeta will be calculated based on maxSoilDepthFrac and minSoilDepthFrac. -# -# other paramater values -minTopWaterLayer = 0.0 -minCropKC = 0.2 -cropDeplFactor = 0.5 -minInterceptCap = 0.0002 - -cropCoefficientNC = global_30min/landSurface/landCover/irrNonPaddy/Global_CropCoefficientKc-IrrNonPaddy_30min.nc - -# initial conditions: -interceptStorIni = global_05min/initialConditions/interceptStor_irrNonPaddy_1999-12-31.map -snowCoverSWEIni = global_05min/initialConditions/snowCoverSWE_irrNonPaddy_1999-12-31.map -snowFreeWaterIni = global_05min/initialConditions/snowFreeWater_irrNonPaddy_1999-12-31.map -topWaterLayerIni = global_05min/initialConditions/topWaterLayer_irrNonPaddy_1999-12-31.map -storUppIni = global_05min/initialConditions/storUpp_irrNonPaddy_1999-12-31.map -storLowIni = global_05min/initialConditions/storLow_irrNonPaddy_1999-12-31.map -interflowIni = global_05min/initialConditions/interflow_irrNonPaddy_1999-12-31.map - - - - -[groundwaterOptions] - -debugWaterBalance = True - -groundwaterPropertiesNC = global_05min/groundwater/properties/groundwaterProperties5ArcMin.nc -# The file will containspecificYield (m3.m-3), kSatAquifer, recessionCoeff (day-1) -# -# - minimum value for groundwater recession coefficient (day-1) -minRecessionCoeff = 1.0e-4 - -# some options for constraining groundwater abstraction -limitFossilGroundWaterAbstraction = True -estimateOfRenewableGroundwaterCapacity = 0.0 -estimateOfTotalGroundwaterThickness = global_05min/groundwater/aquifer_thickness_estimate/thickness_05min.map -# minimum and maximum total groundwater thickness -minimumTotalGroundwaterThickness = 100. -maximumTotalGroundwaterThickness = None - -# annual pumping capacity for each region (unit: billion cubic meter per year), should be given in a netcdf file -pumpingCapacityNC = global_30min/waterUse/groundwater_pumping_capacity/regional_abstraction_limit.nc - -# initial conditions: -storGroundwaterIni = global_05min/initialConditions/storGroundwater_1999-12-31.map -storGroundwaterFossilIni = global_05min/initialConditions/storGroundwaterFossil_1999-12-31.map -# -# additional initial conditions for pumping behaviors -avgNonFossilGroundwaterAllocationLongIni = global_05min/initialConditions/avgNonFossilGroundwaterAllocationLong_1999-12-31.map -avgNonFossilGroundwaterAllocationShortIni = global_05min/initialConditions/avgNonFossilGroundwaterAllocationShort_1999-12-31.map -avgTotalGroundwaterAbstractionIni = global_05min/initialConditions/avgTotalGroundwaterAbstraction_1999-12-31.map -avgTotalGroundwaterAllocationLongIni = global_05min/initialConditions/avgTotalGroundwaterAllocationLong_1999-12-31.map -avgTotalGroundwaterAllocationShortIni = global_05min/initialConditions/avgTotalGroundwaterAllocationShort_1999-12-31.map -# -# additional initial conditions (needed only for MODFLOW run) -relativeGroundwaterHeadIni = global_05min/initialConditions/relativeGroundwaterHead_1999-12-31.map -baseflowIni = global_05min/initialConditions/baseflow_1999-12-31.map - -# zonal IDs (scale) at which zonal allocation of groundwater is performed -allocationSegmentsForGroundwater = global_05min/waterUse/abstraction_zones/abstraction_zones_30min_05min.map - -# assumption for the minimum transmissivity value (unit: m2/day) that can be extracted (via capillary rise and/or groundwater abstraction) - optional -minTransimissivityForProductiveAquifer = 50.0 -# - if None, abstraction and/or capillary rise can always occur everywhere and unlimited - - - -[routingOptions] - -debugWaterBalance = True - -# drainage direction map -lddMap = global_05min/routing/ldd_and_cell_area/lddsound_05min.map - -# cell area (unit: m2) -cellAreaMap = global_05min/routing/ldd_and_cell_area/cellsize05min.correct.map - -# routing method: #accuTravelTime or kinematicWave -routingMethod = accuTravelTime - -# manning coefficient -manningsN = 0.04 - -# Option for flood plain simulation -dynamicFloodPlain = False - -# manning coefficient for floodplain -floodplainManningsN = 0.07 - - -# channel gradient -gradient = global_05min/routing/channel_properties/channel_gradient.map - -# constant channel depth -constantChannelDepth = global_05min/routing/channel_properties/bankfull_depth.map - -# constant channel width (optional) -constantChannelWidth = global_05min/routing/channel_properties/bankfull_width.map - -# minimum channel width (optional) -minimumChannelWidth = global_05min/routing/channel_properties/bankfull_width.map - -# channel properties for flooding -bankfullCapacity = None -# - If None, it will be estimated from (bankfull) channel depth (m) and width (m) - - -# files for relative elevation (above minimum dem) -relativeElevationFiles = global_05min/routing/channel_properties/dzRel%04d.map -relativeElevationLevels = 0.0, 0.01, 0.05, 0.10, 0.20, 0.30, 0.40, 0.50, 0.60, 0.70, 0.80, 0.90, 1.00 - - -# composite crop factors for WaterBodies: -cropCoefficientWaterNC = global_30min/routing/kc_surface_water/cropCoefficientForOpenWater.nc -minCropWaterKC = 1.00 - - -# lake and reservoir parameters -waterBodyInputNC = global_05min/routing/surface_water_bodies/waterBodies5ArcMin.nc -onlyNaturalWaterBodies = False - - -# initial conditions: -waterBodyStorageIni = global_05min/initialConditions/waterBodyStorage_1999-12-31.map -channelStorageIni = global_05min/initialConditions/channelStorage_1999-12-31.map -readAvlChannelStorageIni = global_05min/initialConditions/readAvlChannelStorage_1999-12-31.map -avgDischargeLongIni = global_05min/initialConditions/avgDischargeLong_1999-12-31.map -avgDischargeShortIni = global_05min/initialConditions/avgDischargeShort_1999-12-31.map -m2tDischargeLongIni = global_05min/initialConditions/m2tDischargeLong_1999-12-31.map -avgBaseflowLongIni = global_05min/initialConditions/avgBaseflowLong_1999-12-31.map -riverbedExchangeIni = global_05min/initialConditions/riverbedExchange_1999-12-31.map -# -# initial condition of sub-time step discharge (needed for estimating number of time steps in kinematic wave methods) -subDischargeIni = global_05min/initialConditions/subDischarge_1999-12-31.map -# -avgLakeReservoirInflowShortIni = global_05min/initialConditions/avgLakeReservoirInflowShort_1999-12-31.map -avgLakeReservoirOutflowLongIni = global_05min/initialConditions/avgLakeReservoirOutflowLong_1999-12-31.map -# -# number of days (timesteps) that have been performed for spinning up initial conditions in the routing module (i.e. channelStorageIni, avgDischargeLongIni, avgDischargeShortIni, etc.) -timestepsToAvgDischargeIni = global_05min/initialConditions/timestepsToAvgDischarge_1999-12-31.map -# Note that: -# - maximum number of days (timesteps) to calculate long term average flow values (default: 5 years = 5 * 365 days = 1825) -# - maximum number of days (timesteps) to calculate short term average values (default: 1 month = 1 * 30 days = 30) - - - - -[reportingOptions] - -# output files that will be written in the disk in netcdf files: -# - daily resolution -#outDailyTotNC = temperature,precipitation,totalEvaporation,gwRecharge,totalRunoff,totalGroundwaterAbstraction,discharge,surfaceWaterStorage,interceptStor,snowFreeWater,snowCoverSWE,topWaterLayer,storUppTotal,storLowTotal,storGroundwater,totalWaterStorageThickness,channelStorage,surfaceWaterAbstraction,nonIrrGrossDemand,nonIrrWaterConsumption,irrPaddyWaterWithdrawal,domesticWaterWithdrawal,industryWaterWithdrawal,precipitation_at_irrigation,evaporation_from_irrigation,surfaceWaterStorage,dynamicFracWat,floodVolume,floodDepth,surfaceWaterLevel -outDailyTotNC = temperature,precipitation,totalEvaporation,gwRecharge,totalRunoff,totalGroundwaterAbstraction,discharge,surfaceWaterStorage,interceptStor,snowFreeWater,snowCoverSWE,topWaterLayer,storUppTotal,storLowTotal,storGroundwater,totalWaterStorageThickness,channelStorage,surfaceWaterAbstraction,nonIrrGrossDemand,nonIrrWaterConsumption,irrPaddyWaterWithdrawal,domesticWaterWithdrawal,industryWaterWithdrawal,precipitation_at_irrigation,evaporation_from_irrigation,surfaceWaterStorage,dynamicFracWat,surfaceWaterLevel -# - monthly resolution -outMonthTotNC = None -outMonthAvgNC = None -outMonthEndNC = None -# - annual resolution -outAnnuaTotNC = None -outAnnuaAvgNC = None -outAnnuaEndNC = None -# - monthly and annual maxima -outMonthMaxNC = None -outAnnuaMaxNC = None - -# netcdf format and zlib setup -formatNetCDF = NETCDF4 -zlib = True diff --git a/docs/plugins/wflow/data/README.md b/docs/plugins/wflow/data/README.md deleted file mode 100644 index b42f2b53..00000000 --- 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"metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print(wflow_forcing)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plot forcing" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "

    <xarray.Dataset>\n",
    -       "Dimensions:    (time: 365, lat: 169, lon: 187, bnds: 2)\n",
    -       "Coordinates:\n",
    -       "  * time       (time) datetime64[ns] 1990-01-01T12:00:00 ... 1990-12-31T12:00:00\n",
    -       "  * lat        (lat) float64 52.05 52.02 51.98 51.94 ... 46.0 45.97 45.93 45.89\n",
    -       "  * lon        (lon) float64 5.227 5.264 5.3 5.337 ... 11.94 11.97 12.01 12.05\n",
    -       "    height     float64 2.0\n",
    -       "Dimensions without coordinates: bnds\n",
    -       "Data variables:\n",
    -       "    pr         (time, lat, lon) float32 0.2794 0.2794 0.2794 ... 0.177 0.177\n",
    -       "    time_bnds  (time, bnds) datetime64[ns] 1990-01-01 1990-01-02 ... 1991-01-01\n",
    -       "    lat_bnds   (lat, bnds) float64 52.07 52.04 52.04 52.0 ... 45.91 45.91 45.88\n",
    -       "    lon_bnds   (lon, bnds) float64 5.209 5.245 5.245 5.282 ... 12.03 12.03 12.07\n",
    -       "    tas        (time, lat, lon) float32 0.09246 0.07101 0.03317 ... 3.454 4.227\n",
    -       "    pet        (time, lat, lon) float32 0.5102 0.5103 0.5106 ... 0.5572 0.5536\n",
    -       "Attributes:\n",
    -       "    Conventions:  CF-1.7\n",
    -       "    software:     Created with ESMValTool v2.8.1\n",
    -       "    caption:      Forcings for the wflow hydrological model.\n",
    -       "
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Conventions: CF-\u001b[1;36m1.7\u001b[0m\n", - " software: Created with ESMValTool v2.\u001b[1;36m8.1\u001b[0m\n", - " caption: Forcings for the wflow hydrological model.\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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", 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", 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", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "dataset = xr.load_dataset(f\"{wflow_forcing.directory}/{wflow_forcing.netcdfinput}\")\n", - "print(dataset)\n", - "for var in [\"pr\", \"tas\", \"pet\"]:\n", - " dataset[var].isel(time=1).plot(cmap=\"coolwarm\", robust=True, size=5)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.9" - }, - "metadata": { - "interpreter": { - "hash": "a8aa8210cb3d81d2b5c08b30572e78ad19bd30da92b4caf9890388bc07c5e3bf" - } - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/plugins/wflow/index.rst b/docs/plugins/wflow/index.rst deleted file mode 100644 index 76e81b7c..00000000 --- a/docs/plugins/wflow/index.rst +++ /dev/null @@ -1,10 +0,0 @@ -Welcome to the Wflow model plugin -================================= - -Examples --------- - -.. toctree:: - - Model - Generate forcing diff --git a/docs/plugins/wflow/model.ipynb b/docs/plugins/wflow/model.ipynb deleted file mode 100644 index 3f11f95a..00000000 --- a/docs/plugins/wflow/model.ipynb +++ /dev/null @@ -1,1018 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![image](https://github.com/eWaterCycle/ewatercycle/raw/main/docs/examples/logo.png)\n", - "\n", - "# Running Wflow using the ewatercycle system\n", - "\n", - "This notebooks shows how to run [Wflow](https://wflow.readthedocs.io/en/latest/) model using an example use-case. More information about data, configuration and installation instructions can be found in the [System setup](https://ewatercycle.readthedocs.io/en/latest/system_setup.html) chapter in the eWaterCycle documentation." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import logging\n", - "import warnings\n", - "\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "logging.basicConfig(level=logging.WARN)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from rich import print\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Setting up the model\n", - "\n", - "The model needs a parameter set and forcing. The parameter set can be gotten from the available parameters sets on the system and the forcing can derived from the parameter set." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
    ParameterSet(\n",
    -       "    name='wflow_rhine_sbm_nc',\n",
    -       "    directory=PosixPath('/home/verhoes/git/eWaterCycle/parameter-sets/wflow_rhine_sbm_nc'),\n",
    -       "    config=PosixPath('/home/verhoes/git/eWaterCycle/parameter-sets/wflow_rhine_sbm_nc/wflow_sbm_NC.ini'),\n",
    -       "    doi='N/A',\n",
    -       "    target_model='wflow',\n",
    -       "    supported_model_versions={'2020.1.1', '2020.1.3', '2020.1.2'},\n",
    -       "    downloader=GitHubDownloader(\n",
    -       "        org='openstreams',\n",
    -       "        repo='wflow',\n",
    -       "        branch='master',\n",
    -       "        subfolder='examples/wflow_rhine_sbm_nc'\n",
    -       "    )\n",
    -       ")\n",
    -       "
    \n" - ], - "text/plain": [ - "\u001b[1;35mParameterSet\u001b[0m\u001b[1m(\u001b[0m\n", - " \u001b[33mname\u001b[0m=\u001b[32m'wflow_rhine_sbm_nc'\u001b[0m,\n", - " \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/verhoes/git/eWaterCycle/parameter-sets/wflow_rhine_sbm_nc'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mconfig\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/verhoes/git/eWaterCycle/parameter-sets/wflow_rhine_sbm_nc/wflow_sbm_NC.ini'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mdoi\u001b[0m=\u001b[32m'N/A'\u001b[0m,\n", - " \u001b[33mtarget_model\u001b[0m=\u001b[32m'wflow'\u001b[0m,\n", - " \u001b[33msupported_model_versions\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'2020.1.1'\u001b[0m, \u001b[32m'2020.1.3'\u001b[0m, \u001b[32m'2020.1.2'\u001b[0m\u001b[1m}\u001b[0m,\n", - " \u001b[33mdownloader\u001b[0m=\u001b[1;35mGitHubDownloader\u001b[0m\u001b[1m(\u001b[0m\n", - " \u001b[33morg\u001b[0m=\u001b[32m'openstreams'\u001b[0m,\n", - " \u001b[33mrepo\u001b[0m=\u001b[32m'wflow'\u001b[0m,\n", - " \u001b[33mbranch\u001b[0m=\u001b[32m'master'\u001b[0m,\n", - " \u001b[33msubfolder\u001b[0m=\u001b[32m'examples/wflow_rhine_sbm_nc'\u001b[0m\n", - " \u001b[1m)\u001b[0m\n", - "\u001b[1m)\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "parameter_set = ewatercycle.parameter_sets.available_parameter_sets()[\n", - " \"wflow_rhine_sbm_nc\"\n", - "]\n", - "print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
    WflowForcing(\n",
    -       "    model='wflow',\n",
    -       "    start_time='1991-01-01T00:00:00Z',\n",
    -       "    end_time='1991-12-31T00:00:00Z',\n",
    -       "    directory=PosixPath('/home/verhoes/git/eWaterCycle/parameter-sets/wflow_rhine_sbm_nc'),\n",
    -       "    shape=None,\n",
    -       "    netcdfinput='inmaps.nc',\n",
    -       "    Precipitation='/P',\n",
    -       "    EvapoTranspiration='/PET',\n",
    -       "    Temperature='/TEMP',\n",
    -       "    Inflow=None\n",
    -       ")\n",
    -       "
    \n" - ], - "text/plain": [ - "\u001b[1;35mWflowForcing\u001b[0m\u001b[1m(\u001b[0m\n", - " \u001b[33mmodel\u001b[0m=\u001b[32m'wflow'\u001b[0m,\n", - " \u001b[33mstart_time\u001b[0m=\u001b[32m'1991-01-01T00:00:00Z'\u001b[0m,\n", - " \u001b[33mend_time\u001b[0m=\u001b[32m'1991-12-31T00:00:00Z'\u001b[0m,\n", - " \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/verhoes/git/eWaterCycle/parameter-sets/wflow_rhine_sbm_nc'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mshape\u001b[0m=\u001b[3;35mNone\u001b[0m,\n", - " \u001b[33mnetcdfinput\u001b[0m=\u001b[32m'inmaps.nc'\u001b[0m,\n", - " \u001b[33mPrecipitation\u001b[0m=\u001b[32m'/P'\u001b[0m,\n", - " \u001b[33mEvapoTranspiration\u001b[0m=\u001b[32m'/PET'\u001b[0m,\n", - " \u001b[33mTemperature\u001b[0m=\u001b[32m'/TEMP'\u001b[0m,\n", - " \u001b[33mInflow\u001b[0m=\u001b[3;35mNone\u001b[0m\n", - "\u001b[1m)\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "forcing = ewatercycle.forcing.sources[\"WflowForcing\"](\n", - " directory=str(parameter_set.directory),\n", - " start_time=\"1991-01-01T00:00:00Z\",\n", - " end_time=\"1991-12-31T00:00:00Z\",\n", - " # Additional information about the external forcing data needed for the model configuration\n", - " netcdfinput=\"inmaps.nc\",\n", - " Precipitation=\"/P\",\n", - " EvapoTranspiration=\"/PET\",\n", - " Temperature=\"/TEMP\",\n", - ")\n", - "print(forcing)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Pick a version of Wflow model, so the right model code can be executed which understands the parameter set and forcing." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('2020.1.1', '2020.1.2')" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ewatercycle.models.Wflow.available_versions" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:ewatercycle.models.wflow:Config file from parameter set is missing API section, adding section\n", - "WARNING:ewatercycle.models.wflow:Config file from parameter set is missing RiverRunoff option in API section, added it with value '2, m/s option'\n" - ] - } - ], - "source": [ - "model = ewatercycle.models.Wflow(\n", - " version=\"2020.1.2\", parameter_set=parameter_set, forcing=forcing\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "eWaterCycle Wflow\n", - "-------------------\n", - "Version = 2020.1.2\n", - "Parameter set = \n", - " Parameter set\n", - " -------------\n", - " name=wflow_rhine_sbm_nc\n", - " directory=/home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/parameter-sets/wflow_rhine_sbm_nc\n", - " config=/home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/parameter-sets/wflow_rhine_sbm_nc/wflow_sbm_NC.ini\n", - " doi=N/A\n", - " target_model=wflow\n", - " supported_model_versions={'2020.1.2', '2020.1.1'}\n", - "Forcing = \n", - " Forcing data for Wflow\n", - " ----------------------\n", - " Directory: /home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/parameter-sets/wflow_rhine_sbm_nc\n", - " Start time: 1991-01-01T00:00:00Z\n", - " End time: 1991-12-31T00:00:00Z\n", - " Shapefile: None\n", - " Additional information for model config:\n", - " - netcdfinput: inmaps.nc\n", - " - Precipitation: /P\n", - " - Temperature: /TEMP\n", - " - EvapoTranspiration: /PET\n", - " - Inflow: None\n" - ] - } - ], - "source": [ - "print(model)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The pre-configured parameters are shown below and can be overwritten with `setup()`" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[('start_time', '1991-01-01T00:00:00Z'), ('end_time', '1991-12-31T00:00:00Z')]" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.parameters" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "cfg_file, cfg_dir = model.setup(end_time=\"1991-02-28T00:00:00Z\")" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "/home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/output/wflow_20211008_084304/wflow_ewatercycle.ini\n", - "/home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/output/wflow_20211008_084304\n" - ] - } - ], - "source": [ - "print(cfg_file)\n", - "print(cfg_dir)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The config file can be edited, but for now we will initialize the model with the config file as is" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "model.initialize(cfg_file)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Running the model" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1991-01-01T00:00:00Z\n", - "1991-01-02T00:00:00Z\n", - "1991-01-03T00:00:00Z\n", - "1991-01-04T00:00:00Z\n", - "1991-01-05T00:00:00Z\n", - "1991-01-06T00:00:00Z\n", - "1991-01-07T00:00:00Z\n", - "1991-01-08T00:00:00Z\n", - "1991-01-09T00:00:00Z\n", - "1991-01-10T00:00:00Z\n", - "1991-01-11T00:00:00Z\n", - "1991-01-12T00:00:00Z\n", - "1991-01-13T00:00:00Z\n", - "1991-01-14T00:00:00Z\n", - "1991-01-15T00:00:00Z\n", - "1991-01-16T00:00:00Z\n", - "1991-01-17T00:00:00Z\n", - "1991-01-18T00:00:00Z\n", - "1991-01-19T00:00:00Z\n", - "1991-01-20T00:00:00Z\n", - "1991-01-21T00:00:00Z\n", - "1991-01-22T00:00:00Z\n", - "1991-01-23T00:00:00Z\n", - "1991-01-24T00:00:00Z\n", - "1991-01-25T00:00:00Z\n", - "1991-01-26T00:00:00Z\n", - "1991-01-27T00:00:00Z\n", - "1991-01-28T00:00:00Z\n", - "1991-01-29T00:00:00Z\n", - "1991-01-30T00:00:00Z\n", - "1991-01-31T00:00:00Z\n", - "1991-02-01T00:00:00Z\n", - "1991-02-02T00:00:00Z\n", - "1991-02-03T00:00:00Z\n", - "1991-02-04T00:00:00Z\n", - "1991-02-05T00:00:00Z\n", - "1991-02-06T00:00:00Z\n", - "1991-02-07T00:00:00Z\n", - "1991-02-08T00:00:00Z\n", - "1991-02-09T00:00:00Z\n", - "1991-02-10T00:00:00Z\n", - "1991-02-11T00:00:00Z\n", - "1991-02-12T00:00:00Z\n", - "1991-02-13T00:00:00Z\n", - "1991-02-14T00:00:00Z\n", - "1991-02-15T00:00:00Z\n", - "1991-02-16T00:00:00Z\n", - "1991-02-17T00:00:00Z\n", - "1991-02-18T00:00:00Z\n", - "1991-02-19T00:00:00Z\n", - "1991-02-20T00:00:00Z\n", - "1991-02-21T00:00:00Z\n", - "1991-02-22T00:00:00Z\n", - "1991-02-23T00:00:00Z\n", - "1991-02-24T00:00:00Z\n", - "1991-02-25T00:00:00Z\n", - "1991-02-26T00:00:00Z\n", - "1991-02-27T00:00:00Z\n", - "1991-02-28T00:00:00Z\n" - ] - } - ], - "source": [ - "while model.time < model.end_time:\n", - " model.update()\n", - " print(model.time_as_isostr)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Inspect the results\n", - "\n", - "The RiverRunnoff values of the current model state can be fetched as a [xarray dataset](http://xarray.pydata.org/en/stable/user-guide/data-structures.html#dataset)." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
    \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
    <xarray.DataArray 'RiverRunoff' (latitude: 169, longitude: 187)>\n",
    -       "array([[0., 0., 0., ..., 0., 0., 0.],\n",
    -       "       [0., 0., 0., ..., 0., 0., 0.],\n",
    -       "       [0., 0., 0., ..., 0., 0., 0.],\n",
    -       "       ...,\n",
    -       "       [0., 0., 0., ..., 0., 0., 0.],\n",
    -       "       [0., 0., 0., ..., 0., 0., 0.],\n",
    -       "       [0., 0., 0., ..., 0., 0., 0.]])\n",
    -       "Coordinates:\n",
    -       "  * longitude  (longitude) float64 5.227 5.264 5.3 5.337 ... 11.97 12.01 12.05\n",
    -       "  * latitude   (latitude) float64 45.89 45.93 45.97 46.0 ... 51.98 52.02 52.05\n",
    -       "    time       object 1991-02-28 00:00:00\n",
    -       "Attributes:\n",
    -       "    units:     m/s
    " - ], - "text/plain": [ - "\n", - "array([[0., 0., 0., ..., 0., 0., 0.],\n", - " [0., 0., 0., ..., 0., 0., 0.],\n", - " [0., 0., 0., ..., 0., 0., 0.],\n", - " ...,\n", - " [0., 0., 0., ..., 0., 0., 0.],\n", - " [0., 0., 0., ..., 0., 0., 0.],\n", - " [0., 0., 0., ..., 0., 0., 0.]])\n", - "Coordinates:\n", - " * longitude (longitude) float64 5.227 5.264 5.3 5.337 ... 11.97 12.01 12.05\n", - " * latitude (latitude) float64 45.89 45.93 45.97 46.0 ... 51.98 52.02 52.05\n", - " time object 1991-02-28 00:00:00\n", - "Attributes:\n", - " units: m/s" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "da = model.get_value_as_xarray(\"RiverRunoff\")\n", - "da" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "array([[0., 0., 0., ..., 0., 0., 0.],\n", - " [0., 0., 0., ..., 0., 0., 0.],\n", - " [0., 0., 0., ..., 0., 0., 0.],\n", - " ...,\n", - " [0., 0., 0., ..., 0., 0., 0.],\n", - " [0., 0., 0., ..., 0., 0., 0.],\n", - " [0., 0., 0., ..., 0., 0., 0.]])\n", - "Coordinates:\n", - " * longitude (longitude) float64 5.227 5.264 5.3 5.337 ... 11.97 12.01 12.05\n", - " * latitude (latitude) float64 45.89 45.93 45.97 46.0 ... 51.98 52.02 52.05\n", - " time object 1991-02-28 00:00:00\n", - "Attributes:\n", - " units: m/s\n" - ] - } - ], - "source": [ - "print(da)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "qm = da.plot(robust=True, cmap=\"GnBu\", figsize=(10, 8))\n", - "\n", - "# Add some verification points\n", - "target_longitudes = [8.4, 10, 11]\n", - "target_latitudes = [50, 50.15, 49]\n", - "# Add some crosses to check that 'get_value_at_coords' works correctly below\n", - "qm.axes.scatter(target_longitudes, target_latitudes, s=250, c=\"r\", marker=\"x\", lw=2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Instead of getting the whole spatial grid, you can also get RiverRunoff values at some coordinates (red crosses in above plot)." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([200.49531555, 44.60787582, 0. ])" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.get_value_at_coords(\"RiverRunoff\", lon=target_longitudes, lat=target_latitudes)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We are done with the model so let's clean it up." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "model.finalize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "interpreter": { - "hash": "4f63c3f017d58640bc2174e5f1b6c1610e3d96c1a3fe90d1d439f265cee739e3" - }, - "kernelspec": { - "display_name": "Python 3.9.5 64-bit (conda)", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.9" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/system_setup.rst b/docs/system_setup.rst index 253c9669..8dc991db 100644 --- a/docs/system_setup.rst +++ b/docs/system_setup.rst @@ -13,7 +13,7 @@ This setup should work on any Linux machine with sufficient memory (8Gb, mostly The setup steps: 1. `Conda environment <#conda-environment>`__ -2. `Install ewatercycle package <#install-ewatercycle-package>`__ +2. `Install ewatercycle packages <#install-ewatercycle-package>`__ 3. `Configure ESMValTool <#configure-ESMValTool>`__ 4. `Download climate data <#download-climate-data>`__ 5. `Install container engine <#install-container-engine>`__ @@ -47,14 +47,14 @@ file `__. Do not forget that any terminal or Jupyter kernel should activate the conda environment before the eWaterCycle Python package can be used. -Install eWaterCycle package ---------------------------- +Install eWaterCycle packages +---------------------------- -The Python package can be installed using pip +The Python package and the plugins can be installed using pip .. code:: shell - pip install ewatercycle + pip install ewatercycle ewatercycle-hype ewatercycle-lisflood ewatercycle-marrmot ewatercycle-pcrglobwb ewatercycle-wflow ewatercycle-leakybucket Configure ESMValTool diff --git a/environment.yml b/environment.yml index 2002ab80..8638d6a2 100644 --- a/environment.yml +++ b/environment.yml @@ -5,7 +5,6 @@ channels: dependencies: - python==3.10 - esmvaltool-python>=2.3.0 - - subversion # Pin esmpy so we dont get forced to run all parallel tasks on single cpu # Can be removed once # https://github.com/ESMValGroup/ESMValCore/issues/1208 is resolved. diff --git a/setup.cfg b/setup.cfg index 4ede8c9c..e9918ca5 100644 --- a/setup.cfg +++ b/setup.cfg @@ -1,6 +1,6 @@ [metadata] name = ewatercycle -version = 1.4.1 +version = 2.0.0 description = A Python package for running and validating a hydrology model long_description = file: README.md long_description_content_type = text/markdown @@ -60,25 +60,6 @@ zip_safe = False [options.packages.find] where = src -[options.entry_points] -ewatercycle.forcings = - HypeForcing = ewatercycle.plugins.hype.forcing:HypeForcing - LisfloodForcing = ewatercycle.plugins.lisflood.forcing:LisfloodForcing - MarrmotForcing = ewatercycle.plugins.marrmot.forcing:MarrmotForcing - PCRGlobWBForcing = ewatercycle.plugins.pcrglobwb.forcing:PCRGlobWBForcing - WflowForcing = ewatercycle.plugins.wflow.forcing:WflowForcing -ewatercycle.models = - Hype = ewatercycle.plugins.hype.model:Hype - Lisflood = ewatercycle.plugins.lisflood.model:Lisflood - Wflow = ewatercycle.plugins.wflow.model:Wflow - PCRGlobWB = ewatercycle.plugins.pcrglobwb.model:PCRGlobWB - MarrmotM01 = ewatercycle.plugins.marrmot.model:MarrmotM01 - MarrmotM14 = ewatercycle.plugins.marrmot.model:MarrmotM14 -ewatercycle.parameter_sets = - lisflood_fraser = ewatercycle.plugins.lisflood.parameter_sets:lisflood_fraser - pcrglobwb_rhinemeuse_30min = ewatercycle.plugins.pcrglobwb.parameter_sets:pcrglobwb_rhinemeuse_30min - wflow_rhine_sbm_nc = ewatercycle.plugins.wflow.parameter_sets:wflow_rhine_sbm_nc - [options.extras_require] dev = black[jupyter] diff --git a/src/ewatercycle/plugins/__init__.py b/src/ewatercycle/plugins/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/src/ewatercycle/plugins/hype/__init__.py b/src/ewatercycle/plugins/hype/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/src/ewatercycle/plugins/hype/forcing.py b/src/ewatercycle/plugins/hype/forcing.py deleted file mode 100644 index 4eca1eac..00000000 --- a/src/ewatercycle/plugins/hype/forcing.py +++ /dev/null @@ -1,123 +0,0 @@ -"""Forcing related functionality for hype.""" - -from datetime import datetime -from pathlib import Path - -import pandas as pd -import xarray as xr - -from ewatercycle.base.forcing import DefaultForcing -from ewatercycle.esmvaltool.builder import RecipeBuilder -from ewatercycle.esmvaltool.schema import Dataset - - -class HypeForcing(DefaultForcing): - """Container for hype forcing data. - - Args: - directory: Directory where forcing data files are stored. - start_time: Start time of forcing in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. - end_time: End time of forcing in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. - shape: Path to a shape file. Used for spatial selection. - Pobs (optional): Input file for precipitation data. Defaults to 'Pobs.txt' - TMAXobs (optional): Input file for maximum temperature data. Defaults to - 'TMAXobs.txt' - TMINobs (optional): Input file for minimum temperature data. Defaults to - 'TMINobs.txt' - Tobs (optional): Input file for temperature data. Defaults to 'Tobs.txt' - """ - - Pobs: str = "Pobs.txt" - TMAXobs: str = "TMAXobs.txt" - TMINobs: str = "TMINobs.txt" - Tobs: str = "Tobs.txt" - - @classmethod - def _build_recipe( - cls, - start_time: datetime, - end_time: datetime, - shape: Path, - dataset: Dataset | str | dict, - **model_specific_options - ): - return build_hype_recipe( - start_year=start_time.year, - end_year=end_time.year, - shape=shape, - dataset=dataset, - ) - - def to_xarray(self) -> xr.Dataset: - """Load forcing files into a xarray Dataset. - - Returns: - xarray Dataset containing forcing data. - """ - assert self.directory is not None, "Forcing directory is not set" - - # TODO add lats/lons to dataset maybe infer - # from centers of subbasins in shapefile in ewatercycle_forcing.yaml? - ds = xr.Dataset() - ds["Pobs"] = pd.read_csv( - self.directory / self.Pobs, sep=" ", index_col="DATE", parse_dates=True - ) - ds["TMAXobs"] = pd.read_csv( - self.directory / self.TMAXobs, sep=" ", index_col="DATE", parse_dates=True - ) - ds["TMINobs"] = pd.read_csv( - self.directory / self.TMINobs, sep=" ", index_col="DATE", parse_dates=True - ) - ds["Tobs"] = pd.read_csv( - self.directory / self.Tobs, sep=" ", index_col="DATE", parse_dates=True - ) - ds = ds.rename({"DATE": "time", "dim_1": "subbasin"}).assign( - subbasin=lambda ds: ds.subbasin.astype(int) - ) - # TODO add units and long names to variables as attributes - - ds.attrs = { - "title": "Hype forcing data", - "history": "Created by ewatercycle.plugins.hype.forcing.HypeForcing.to_xarray()", - } - return ds - - -def build_hype_recipe( - start_year: int, - end_year: int, - shape: Path, - dataset: Dataset | str | dict, -): - """Build an ESMValTool recipe for Hype forcing data. - - Args: - start_year: The start year of the recipe. - end_year: The end year of the recipe. - shape: The shape of the recipe. - dataset: Dataset to get forcing data from. - When string is given a predefined dataset is looked up in - :py:const:`ewatercycle.esmvaltool.datasets.DATASETS`. - When dict given it is passed to - :py:class:`ewatercycle.esmvaltool.models.Dataset` constructor. - - Returns: - The built recipe. - """ - return ( - RecipeBuilder() - .title("Hype forcing data") - .dataset(dataset) - .start(start_year) - .end(end_year) - .shape(shape, decomposed=True) - .lump() - .add_variable("tas", units="degC") - .add_variable("tasmin", units="degC") - .add_variable("tasmax", units="degC") - .add_variable("pr", units="kg m-2 d-1") - .script("hydrology/hype.py") - .build() - ) diff --git a/src/ewatercycle/plugins/hype/model.py b/src/ewatercycle/plugins/hype/model.py deleted file mode 100644 index 380715aa..00000000 --- a/src/ewatercycle/plugins/hype/model.py +++ /dev/null @@ -1,209 +0,0 @@ -"""eWaterCycle wrapper around Hype BMI.""" -import datetime -import logging -import types -from pathlib import Path -from typing import Any, ItemsView, Iterable, Optional - -import bmipy -import xarray as xr -from dateutil.parser import parse -from dateutil.tz import UTC -from pydantic import PrivateAttr, model_validator - -from ewatercycle.base.model import ISO_TIMEFMT, ContainerizedModel -from ewatercycle.base.parameter_set import ParameterSet -from ewatercycle.container import ContainerImage -from ewatercycle.plugins.hype.forcing import HypeForcing -from ewatercycle.util import geographical_distances, get_time - -logger = logging.getLogger(__name__) - - -class Hype(ContainerizedModel): - """eWaterCycle implementation of Hype hydrological model. - - Model documentation at http://www.smhi.net/hype/wiki/doku.php . - - Args: - parameter_set: instance of - :py:class:`~ewatercycle.parameter_sets.default.ParameterSet`. - forcing: ewatercycle forcing container; - see :py:mod:`ewatercycle.forcing`. - - """ - - forcing: Optional[HypeForcing] = None - parameter_set: ParameterSet # not optional for this model - bmi_image: ContainerImage = ContainerImage("ewatercycle/hype-grpc4bmi:feb2021") - - _config: str = PrivateAttr() - - @model_validator(mode="after") - def _initialize_config(self: "Hype") -> "Hype": - """Load config from parameter set and update with forcing info.""" - self._config = self.parameter_set.config.read_text(encoding="cp437") - - start = _get_hype_time(_get_code_in_cfg(self._config, "bdate")) - end = _get_hype_time(_get_code_in_cfg(self._config, "edate")) - crit = _get_hype_time(_get_code_in_cfg(self._config, "cdate")) - - if crit is None: - self._config = _set_code_in_cfg( - self._config, "cdate", start.strftime("%Y-%m-%d %H:%M:%S") - ) - - if self.forcing is not None: - start = get_time(self.forcing.start_time) - end = get_time(self.forcing.end_time) - - self._config = _set_code_in_cfg( - self._config, "bdate", start.strftime("%Y-%m-%d %H:%M:%S") - ) - self._config = _set_code_in_cfg( - self._config, "edate", end.strftime("%Y-%m-%d %H:%M:%S") - ) - # Also set crit time to start time, it can be overwritten in setup() - self._config = _set_code_in_cfg( - self._config, "cdate", start.strftime("%Y-%m-%d %H:%M:%S") - ) - - return self - - def _make_cfg_file(self, **kwargs) -> Path: - """Create a Hype config file and return its path.""" - self._update_config(**kwargs) - return self._export_config() - - def _update_config(self, **kwargs) -> None: - if "end_time" in kwargs: - end = get_time(kwargs["end_time"]) - self._config = _set_code_in_cfg( - self._config, "edate", end.strftime("%Y-%m-%d %H:%M:%S") - ) - if "start_time" in kwargs: - start = get_time(kwargs["start_time"]) - self._config = _set_code_in_cfg( - self._config, "bdate", start.strftime("%Y-%m-%d %H:%M:%S") - ) - if "crit_time" in kwargs: - crit = get_time(kwargs["crit_time"]) - self._config = _set_code_in_cfg( - self._config, "cdate", crit.strftime("%Y-%m-%d %H:%M:%S") - ) - else: - # Overwrite cdate to start when no crit is given - self._config = _set_code_in_cfg( - self._config, "cdate", start.strftime("%Y-%m-%d %H:%M:%S") - ) - - # Set resultdir to . so no sub dirs are needed - self._config = _set_code_in_cfg(self._config, "resultdir", "./") - - def _export_config(self) -> Path: - # write info.txt - cfg_file = self._cfg_dir / "info.txt" - cfg_file.write_text(self._config, encoding="cp437") - - return cfg_file - - def _make_bmi_instance(self) -> bmipy.Bmi: - """Make the bmi instance and overwrite 'get_time_units' method.""" - bmi = super()._make_bmi_instance() - - since = _get_hype_time(_get_code_in_cfg(self._config, "bdate")).strftime( - ISO_TIMEFMT - ) - - # The Hype get_time_units() returns `hours since start of simulation` and - # get_start_time() returns 0. - # A relative datetime is not very useful, so here we overwrite the - # get_time_units to return the absolute datetime. - def get_time_units(_self): - return f"hours since {since}" - - bmi.get_time_units = types.MethodType(get_time_units, bmi) - - return bmi - - def get_value_as_xarray(self, name: str) -> xr.DataArray: - raise NotImplementedError("Hype coordinates cannot be mapped to grid") - - def get_latlon_grid(self, name: str) -> tuple[Any, Any, Any]: - raise NotImplementedError("Hype coordinates cannot be mapped to grid") - - @property - def parameters(self) -> ItemsView[str, Any]: - """List the parameters for this model. - - Exposed Lisflood parameters: - start_time: Start time of model in UTC and ISO format string - e.g. 'YYYY-MM-DDTHH:MM:SSZ'. - If not given then forcing start time is used. - end_time: End time of model in UTC and ISO format string - e.g. 'YYYY-MM-DDTHH:MM:SSZ'. - If not given then forcing end time is used. - crit_time: Start date for the output of results and calculations of criteria. - e.g. 'YYYY-MM-DDTHH:MM:SSZ'. - If not given then start_time is used. - """ - return { - "start_time": _get_hype_time( - _get_code_in_cfg(self._config, "bdate") - ).strftime(ISO_TIMEFMT), - "end_time": _get_hype_time( - _get_code_in_cfg(self._config, "edate") - ).strftime(ISO_TIMEFMT), - "crit_time": _get_hype_time( - _get_code_in_cfg(self._config, "cdate") - ).strftime(ISO_TIMEFMT), - }.items() - - def _coords_to_indices( - self, name: str, lat: Iterable[float], lon: Iterable[float] - ) -> Iterable[int]: - grid_id = self.bmi.get_var_grid(name) - x = self.bmi.get_grid_x(grid_id) - y = self.bmi.get_grid_y(grid_id) - - indices = [] - for plon, plat in zip(lon, lat): - dist = geographical_distances(plon, plat, x, y) - index = dist.argmin() - indices.append(int(index)) - - return indices - - -def _get_code_in_cfg(content: str, code: str) -> str: - """Find the corresponding value of a code in the content. - - Raises ValueError if not found. - """ - lines = content.splitlines() - for line in lines: - if line.startswith(code): - chunks = line.split() - chunks.pop(0) # Only works with code without spaces - return " ".join(chunks) - raise ValueError(f"Could not find code '{code}' in content.") - - -def _set_code_in_cfg(content: str, code: str, value: str) -> str: - lines = content.splitlines() - new_lines = [] - found = False - for line in lines: - if line.startswith(code): - line = f"{code} {value}" - found = True - new_lines.append(line) - if not found: - new_lines.append(f"{code} {value}") - new_lines.append("") - return "\n".join(new_lines) - - -def _get_hype_time(value: str) -> datetime.datetime: - """Converts `yyyy-mm-dd [HH:MM]` string to datetime object.""" - return parse(value).replace(tzinfo=UTC) diff --git a/src/ewatercycle/plugins/lisflood/__init__.py b/src/ewatercycle/plugins/lisflood/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/src/ewatercycle/plugins/lisflood/config.py b/src/ewatercycle/plugins/lisflood/config.py deleted file mode 100644 index 08fdaa28..00000000 --- a/src/ewatercycle/plugins/lisflood/config.py +++ /dev/null @@ -1,23 +0,0 @@ -"""Functions for loading/editting/saving lisflood config files.""" - -from xml.etree import ElementTree as ET - - -class XmlConfig: - """Config container where config is read/saved in xml format.""" - - def __init__(self, source): - """Config container where config is read/saved in xml format. - Args: - source: file to read from - """ - self.tree = ET.parse(source) - self.config = self.tree.getroot() # mypy complains with ET.Element - """XML element used to make changes to the config""" - - def save(self, target): - """Save xml to file. - Args: - target: file to save to - """ - self.tree.write(target) diff --git a/src/ewatercycle/plugins/lisflood/forcing.py b/src/ewatercycle/plugins/lisflood/forcing.py deleted file mode 100644 index 97b924d2..00000000 --- a/src/ewatercycle/plugins/lisflood/forcing.py +++ /dev/null @@ -1,277 +0,0 @@ -"""Forcing related functionality for lisflood.""" - -import logging -from pathlib import Path -from typing import Optional, cast - -from ewatercycle.base.forcing import DefaultForcing -from ewatercycle.esmvaltool.builder import RecipeBuilder -from ewatercycle.esmvaltool.schema import Dataset, Recipe, TargetGrid -from ewatercycle.plugins.lisflood.lisvap import create_lisvap_config, lisvap -from ewatercycle.util import ( - fit_extents_to_grid, - get_extents, - get_time, - reindex, - to_absolute_path, -) - -logger = logging.getLogger(__name__) - - -class LisfloodForcing(DefaultForcing): - """Container for lisflood forcing data. - - Args: - directory: Directory where forcing data files are stored. - start_time: Start time of forcing in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. - end_time: End time of forcing in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. - shape: Path to a shape file. Used for spatial selection. - PrefixPrecipitation: Path to a NetCDF or pcraster file with - precipitation data - PrefixTavg: Path to a NetCDF or pcraster file with average - temperature data - PrefixE0: Path to a NetCDF or pcraster file with potential - evaporation rate from open water surface data - PrefixES0: Path to a NetCDF or pcraster file with potential - evaporation rate from bare soil surface data - PrefixET0: Path to a NetCDF or pcraster file with potential - (reference) evapotranspiration rate data - - Example: - - To load forcing data from a directory: - - .. code-block:: python - - from ewatercycle.forcing import sources - - forcing = sources.LisfloodForcing( - directory='/data/lisflood-forcings-case1', - start_time='1989-01-02T00:00:00Z', - end_time='1999-01-02T00:00:00Z', - PrefixPrecipitation='tp.nc', - PrefixTavg='ta.nc', - PrefixE0='e.nc', - PrefixES0='es.nc', - PrefixET0='et.nc' - ) - """ - - PrefixPrecipitation: str = "pr.nc" - PrefixTavg: str = "tas.nc" - PrefixE0: str = "e0.nc" - PrefixES0: str = "es0.nc" - PrefixET0: str = "et0.nc" - # TODO check whether start/end time are same as in the files - - @classmethod - def generate( # type: ignore - cls, - dataset: Dataset | str | dict, - start_time: str, - end_time: str, - shape: str, - directory: Optional[str] = None, - target_grid: Optional[dict] = None, - run_lisvap: Optional[dict] = None, - ) -> "LisfloodForcing": - """Generate forcings for a model. - - The forcing is generated with help of - `ESMValTool `_. - - Args: - dataset: Dataset to get forcing data from. - When string is given a predefined dataset is looked up in - :py:const:`ewatercycle.esmvaltool.datasets.DATASETS`. - When dict given it is passed to - :py:class:`ewatercycle.esmvaltool.models.Dataset` constructor. - start_time: Start time of forcing in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. - end_time: nd time of forcing in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. - shape: Path to a shape file. Used for spatial selection. - directory: Directory in which forcing should be written. - If not given will create timestamped directory. - target_grid: the ``target_grid`` should be a ``dict`` with the - following keys: - - - ``start_longitude``: longitude at the center of the first grid cell. - - ``end_longitude``: longitude at the center of the last grid cell. - - ``step_longitude``: constant longitude distance between grid cell \ - centers. - - ``start_latitude``: latitude at the center of the first grid cell. - - ``end_latitude``: longitude at the center of the last grid cell. - - ``step_latitude``: constant latitude distance between grid cell \ - centers. - - Make sure the target grid matches up with the grid in the mask_map - and files in parameterset_dir. - Also the `shape` should be within the target grid. - - If not given will guestimate target grid from `shape` - using a 0.1x0.1 grid with 0.05 offset. - run_lisvap: Lisvap specification. Default is None. - If lisvap should be run then - give a dictionary with following key/value pairs: - - - lisvap_config: Name of Lisvap configuration file. - - mask_map: A mask for the spatial selection. - This file should have same extent and resolution - as parameter-set. - - parameterset_dir: Directory of the parameter set. - Directory should contains the Lisvap config file - and files the config points to. - """ - # Cannot call super as we want recipe_output not forcing object - start_year = get_time(start_time).year - end_year = get_time(end_time).year - recipe = build_lisflood_recipe( - start_year=start_year, - end_year=end_year, - shape=Path(shape), - dataset=dataset, - target_grid=target_grid, - ) - forcing_files = cls._run_recipe( - recipe, directory=Path(directory) if directory else None - ) - directory = forcing_files["directory"] - - if run_lisvap: - # Get lisvap specific options and make paths absolute - lisvap_config = str(to_absolute_path(run_lisvap["lisvap_config"])) - mask_map = str(to_absolute_path(run_lisvap["mask_map"])) - parameterset_dir = str(to_absolute_path(run_lisvap["parameterset_dir"])) - - # Reindex data because recipe cropped the data - # Also, create a sub dir for reindexed dataset because xarray does not - # let to overwrite! - reindexed_forcing_directory = Path(f"{directory}/reindexed") - reindexed_forcing_directory.mkdir(parents=True, exist_ok=True) - for var_name in {"pr", "tas", "tasmax", "tasmin", "sfcWind", "rsds", "e"}: - reindex( - f"{directory}/{forcing_files[var_name]}", - var_name, - mask_map, - f"{reindexed_forcing_directory}/{forcing_files[var_name]}", - ) - # Add lisvap file names - basin = Path(shape).stem - for var_name in {"e0", "es0", "et0"}: - forcing_files[ - var_name - ] = f"lisflood_{dataset}_{basin}_{var_name}_{start_year}_{end_year}.nc" - - if isinstance(dataset, Dataset): - lisvap_dataset = dataset.dataset - elif isinstance(dataset, dict): - lisvap_dataset = dataset["dataset"] - else: - lisvap_dataset = dataset - config_file = create_lisvap_config( - parameterset_dir, - str(reindexed_forcing_directory), - lisvap_dataset, - lisvap_config, - mask_map, - start_time, - end_time, - forcing_files, - ) - lisvap( - parameterset_dir, - str(reindexed_forcing_directory), - mask_map, - config_file, - ) - # TODO add a logger message about the results of lisvap using - # exit_code, stdout, stderr - # Instantiate forcing object based on generated data - generated_forcing = cls( - directory=str(reindexed_forcing_directory), - start_time=start_time, - end_time=end_time, - shape=shape, - PrefixPrecipitation=forcing_files["pr"], - PrefixTavg=forcing_files["tas"], - PrefixE0=forcing_files["e0"], - PrefixES0=forcing_files["es0"], - PrefixET0=forcing_files["et0"], - ) - else: - message = ( - "Parameter `run_lisvap` is set to False. No forcing data will be " - "generated for 'e0', 'es0' and 'et0'. However, the recipe creates " - f"LISVAP input data that can be found in {directory}." - ) - logger.warning("%s", message) - # instantiate forcing object based on generated data - generated_forcing = cls( - directory=Path(directory), - start_time=start_time, - end_time=end_time, - shape=shape, - PrefixPrecipitation=forcing_files["pr"], - PrefixTavg=forcing_files["tas"], - ) - generated_forcing.save() - return generated_forcing - - -def build_lisflood_recipe( - start_year: int, - end_year: int, - shape: Path, - dataset: Dataset | str | dict, - target_grid: Optional[dict] = None, -) -> Recipe: - """Build an ESMValTool recipe for lisflood forcing. - - Args: - start_year: Start year of forcing. - end_year: End year of forcing. - shape: Path to a shape file. Used for spatial selection. - dataset: Dataset to get forcing data from. - When string is given a predefined dataset is looked up in - :py:const:`ewatercycle.esmvaltool.datasets.DATASETS`. - When dict given it is passed to - :py:class:`ewatercycle.esmvaltool.models.Dataset` constructor. - target_grid: the ``target_grid`` should be a ``dict`` with the - following keys: - start_longitude, end_longitude, start_latitude, end_latitude - """ - if target_grid is None: - logger.warning("target_grid was not given, guestimating from shape") - step = 0.1 - target_grid = fit_extents_to_grid(get_extents(shape), step=step) - target_grid.update( - { - "step_longitude": step, - "step_latitude": step, - } - ) - - return ( - RecipeBuilder() - .title("Lisflood forcing recipe") - .description("Lisflood forcing recipe") - .dataset(dataset) - .start(start_year) - .end(end_year) - .regrid(target_grid=cast(TargetGrid, target_grid), scheme="linear") - .shape(shape, crop=True) - .add_variable("pr", units="kg m-2 d-1") - .add_variable("tas", units="degC") - # Rest of variables are inputs for lisvap - .add_variable("tasmin", units="degC") - .add_variable("tasmax", units="degC") - .add_variable("tdps", units="degC", mip="Eday") - .add_variables(["uas", "vas"]) - .add_variable("rsds", units="J m-2 day-1") - .script("hydrology/lisflood.py", {"catchment": shape.stem}) - .build() - ) diff --git a/src/ewatercycle/plugins/lisflood/lisvap.py b/src/ewatercycle/plugins/lisflood/lisvap.py deleted file mode 100644 index a2566764..00000000 --- a/src/ewatercycle/plugins/lisflood/lisvap.py +++ /dev/null @@ -1,167 +0,0 @@ -"""Generate lisvap files to be used for lisflood. - -example: -from .lisvap import create_lisvap_config, lisvap -config_file = create_lisvap_config( - parameterset_dir, - forcing_dir, - forcing_name, - lisvap_config, - mask_map, - start_time, - end_time, - forcing_files, - ) -lisvap( - version, - parameterset_dir, - forcing_dir, - mask_map, - config_file, - ) -""" - -import os -import subprocess -from typing import Dict, Tuple - -from ewatercycle import CFG -from ewatercycle.container import ContainerEngine, ContainerImage -from ewatercycle.plugins.lisflood.config import XmlConfig -from ewatercycle.util import get_time - -# TODO: get rid of this part. -images = { - "docker": ContainerImage("ewatercycle/lisflood-grpc4bmi:20.10"), - "apptainer": ContainerImage("ewatercycle-lisflood-grpc4bmi_20.10.sif"), -} - - -def lisvap( - parameterset_dir: str, - forcing_dir: str, - mask_map: str, - config_file: str, -) -> Tuple[int, bytes, bytes]: - """Run lisvap to generate evaporation forcing files - - Returns: - Tuple with exit code, stdout and stderr - """ - mount_points = ( - parameterset_dir, - mask_map, - forcing_dir, - ) - engine: ContainerEngine = CFG.container_engine - image = images[engine] - if CFG.container_engine.lower() == "apptainer": - image_fn = ContainerImage(CFG.apptainer_dir / image) - args = [ - "apptainer", - "exec", - "--bind", - ",".join([f"{mp}:{mp}" for mp in mount_points]), - "--pwd", - f"{forcing_dir}", - image_fn, - ] - elif CFG.container_engine.lower() == "docker": - args = [ - "docker", - "run", - "-ti", - "--volume", - ",".join(f"{mp}:{mp}" for mp in mount_points), - "--pwd", - f"{forcing_dir}", - image, - ] - else: - raise ValueError(f"Unknown container technology in CFG: {CFG.container_engine}") - - args += ["python3", "/opt/Lisvap/src/lisvap1.py", config_file] - container = subprocess.Popen( - args, preexec_fn=os.setsid, stdout=subprocess.PIPE, stderr=subprocess.PIPE - ) - exit_code = container.wait() - stdout, stderr = container.communicate() - if exit_code != 0: - raise subprocess.CalledProcessError( - returncode=exit_code, cmd=args, stderr=stderr, output=stdout - ) - - return exit_code, stdout, stderr - - -def create_lisvap_config( - parameterset_dir: str, - forcing_dir: str, - forcing_name: str, - config_template: str, - mask_map: str, - start_time: str, - end_time: str, - forcing_files: Dict, -) -> str: - """ - Create lisvap setting file. - - """ - cfg = XmlConfig(config_template) - # Make a dictionary for settings - settings = { - "CalendarDayStart": get_time(start_time).strftime("%d/%m/%Y %H:%M"), - "StepStart": get_time(start_time).strftime("%d/%m/%Y %H:%M"), - "StepEnd": get_time(end_time).strftime("%d/%m/%Y %H:%M"), - "PathOut": forcing_dir, - "PathBaseMapsIn": f"{parameterset_dir}/maps_netcdf", - "MaskMap": mask_map.replace(".nc", ""), - "PathMeteoIn": forcing_dir, - } - - for textvar in cfg.config.iter("textvar"): - textvar_name = textvar.attrib["name"] - - # general settings - for key, value in settings.items(): - if key in textvar_name: - textvar.set("value", value) - - # lisvap input files - # mapping lisvap input varnames to cmor varnames - INPUT_NAMES = { - "TAvgMaps": "tas", - "TMaxMaps": "tasmax", - "TMinMaps": "tasmin", - "EActMaps": "e", - "WindMaps": "sfcWind", - "RgdMaps": "rsds", - } - for lisvap_var, cmor_var in INPUT_NAMES.items(): - if lisvap_var in textvar_name: - filename = forcing_files[cmor_var].replace(".nc", "") - textvar.set( - "value", - f"$(PathMeteoIn)/{filename}", - ) - - # lisvap output files - # MapsName: {prefix_name, prefix} - MAPS_PREFIXES = { - "E0Maps": {"name": "PrefixE0", "value": "e0"}, - "ES0Maps": {"name": "PrefixES0", "value": "es0"}, - "ET0Maps": {"name": "PrefixET0", "value": "et0"}, - } - for prefix in MAPS_PREFIXES.values(): - if prefix["name"] in textvar_name: - filename = forcing_files[prefix["value"]].replace(".nc", "") - textvar.set( - "value", - f"{filename}", - ) - - # Write to new setting file - lisvap_file = f"{forcing_dir}/lisvap_{forcing_name}_setting.xml" - cfg.save(lisvap_file) - return lisvap_file diff --git a/src/ewatercycle/plugins/lisflood/model.py b/src/ewatercycle/plugins/lisflood/model.py deleted file mode 100644 index aa039677..00000000 --- a/src/ewatercycle/plugins/lisflood/model.py +++ /dev/null @@ -1,204 +0,0 @@ -"""eWaterCycle wrapper around Lisflood BMI.""" - -import logging -from pathlib import Path -from typing import Any, ItemsView - -from pydantic import PrivateAttr, model_validator - -from ewatercycle.base.model import ISO_TIMEFMT, ContainerizedModel -from ewatercycle.base.parameter_set import ParameterSet -from ewatercycle.container import ContainerImage -from ewatercycle.plugins.lisflood.config import XmlConfig -from ewatercycle.plugins.lisflood.forcing import LisfloodForcing -from ewatercycle.util import get_time, to_absolute_path - -logger = logging.getLogger(__name__) - - -class Lisflood(ContainerizedModel): - """eWaterCycle implementation of Lisflood hydrological model. - - Args: - version: pick a version for which an grpc4bmi docker image is available. - parameter_set: LISFLOOD input files. Any included forcing data will be ignored. - forcing: a LisfloodForcing object. - - Example: - See examples/lisflood.ipynb in - `ewatercycle repository `_ - """ - - forcing: LisfloodForcing # not optional for this model - parameter_set: ParameterSet # not optional for this model - bmi_image: ContainerImage = ContainerImage("ewatercycle/lisflood-grpc4bmi:20.10") - - _config: XmlConfig = PrivateAttr() - - @model_validator(mode="after") - def _update_config(self: "Lisflood") -> "Lisflood": - self._config = XmlConfig(self.parameter_set.config) - return self - - def _get_textvar_value(self, name: str): - for textvar in self._config.config.iter("textvar"): - textvar_name = textvar.attrib["name"] - if name == textvar_name: - return textvar.get("value") - raise KeyError(f"Name {name} not found in the config file.") - - def _make_cfg_file(self, **kwargs) -> Path: - """Create lisflood config file.""" - - # Update times - model_start = get_time(self.forcing.start_time) - model_end = get_time(self.forcing.end_time) - if "start_time" in kwargs: - start = get_time(kwargs["start_time"]) - if ( - get_time(self.forcing.start_time) - <= start - <= get_time(self.forcing.end_time) - ): - model_start = start - else: - raise ValueError("start_time outside forcing time range") - if "end_time" in kwargs: - end = get_time(kwargs["end_time"]) - if ( - get_time(self.forcing.start_time) - <= end - <= get_time(self.forcing.end_time) - ): - model_end = end - else: - raise ValueError("end_time outside forcing time range") - - settings = { - "CalendarDayStart": model_start.strftime("%d/%m/%Y 00:00"), - "StepStart": "1", - "StepEnd": str((model_end - model_start).days), - "PathRoot": str(self.parameter_set.directory), - "PathMeteo": str(self.forcing.directory), - "PathOut": str(self._cfg_dir), - } - - if "IrrigationEfficiency" in kwargs: - settings["IrrigationEfficiency"] = kwargs["IrrigationEfficiency"] - - if "MaskMap" in kwargs: - mask_map = to_absolute_path(input_path=kwargs["MaskMap"]) - settings["MaskMap"] = str(mask_map.with_suffix("")) - try: - mask_map.relative_to(self.parameter_set.directory) - except ValueError: - # If not relative add dir - self._additional_input_dirs.append(str(mask_map.parent)) - - for textvar in self._config.config.iter("textvar"): - textvar_name = textvar.attrib["name"] - - # general settings - for key, value in settings.items(): - if key in textvar_name: - textvar.set("value", value) - - # input for lisflood - if "PrefixPrecipitation" in textvar_name: - textvar.set("value", Path(self.forcing.PrefixPrecipitation).stem) - if "PrefixTavg" in textvar_name: - textvar.set("value", Path(self.forcing.PrefixTavg).stem) - - # maps_prefixes dictionary contains lisvap filenames in lisflood config - maps_prefixes = { - "E0Maps": { - "name": "PrefixE0", - "value": Path(self.forcing.PrefixE0).stem, - }, - "ES0Maps": { - "name": "PrefixES0", - "value": Path(self.forcing.PrefixES0).stem, - }, - "ET0Maps": { - "name": "PrefixET0", - "value": Path(self.forcing.PrefixET0).stem, - }, - } - # output of lisvap - for map_var, prefix in maps_prefixes.items(): - if prefix["name"] in textvar_name: - textvar.set("value", prefix["value"]) - if map_var in textvar_name: - textvar.set("value", f"$(PathMeteo)/$({prefix['name']})") - - # Write to new setting file - lisflood_file = self._cfg_dir / "lisflood_setting.xml" - self._config.save(str(lisflood_file)) - return lisflood_file - - @property - def parameters(self) -> ItemsView[str, Any]: - """List the parameters for this model. - - Exposed Lisflood parameters: - IrrigationEfficiency: Field application irrigation efficiency. - max 1, ~0.90 drip irrigation, ~0.75 sprinkling - MaskMap: Mask map to use instead of one supplied in parameter set. - Path to a NetCDF or pcraster file with - same dimensions as parameter set map files and a boolean variable. - start_time: Start time of model in UTC and ISO format string - e.g. 'YYYY-MM-DDTHH:MM:SSZ'. - If not given then forcing start time is used. - end_time: End time of model in UTC and ISO format string - e.g. 'YYYY-MM-DDTHH:MM:SSZ'. - If not given then forcing end time is used. - """ - return { - "IrrigationEfficiency": self._get_textvar_value("IrrigationEfficiency"), - "MaskMap": self._get_textvar_value("MaskMap"), - "start_time": get_time(self.forcing.start_time).strftime(ISO_TIMEFMT), - "end_time": get_time(self.forcing.end_time).strftime(ISO_TIMEFMT), - }.items() - - def finalize(self) -> None: - """Perform tear-down tasks for the model.""" - # Finalize function of bmi class of lisflood is kaput, so not calling it - del self._bmi - - -# TODO it needs fix regarding forcing -# def reindex_forcings( -# mask_map: Path, forcing: LisfloodForcing, output_dir: Path = None -# ) -> Path: -# """Reindex forcing files to match mask map grid - -# Args: -# mask_map: Path to NetCDF file used a boolean map that defines model -# boundaries. -# forcing: Forcing data from ESMValTool -# output_dir: Directory where to write the re-indexed files, given by user -# or created for user - -# Returns: -# Output dir with re-indexed files. -# """ -# output_dir = _generate_workdir(output_dir) -# mask = xr.open_dataarray(mask_map).load() -# data_files = list(forcing.recipe_output.values())[0].data_files -# for data_file in data_files: -# dataset = data_file.load_xarray() -# out_fn = output_dir / data_file.filename.name -# var_name = list(dataset.data_vars.keys())[0] -# encoding = { -# var_name: { -# "zlib": True, -# "complevel": 4, -# "chunksizes": (1,) + dataset[var_name].shape[1:], -# } -# } -# dataset.reindex( -# {"lat": mask["lat"], "lon": mask["lon"]}, -# method="nearest", -# tolerance=1e-2, -# ).to_netcdf(out_fn, encoding=encoding) -# return output_dir diff --git a/src/ewatercycle/plugins/lisflood/parameter_sets.py b/src/ewatercycle/plugins/lisflood/parameter_sets.py deleted file mode 100644 index aacd72fe..00000000 --- a/src/ewatercycle/plugins/lisflood/parameter_sets.py +++ /dev/null @@ -1,14 +0,0 @@ -from ewatercycle.base.parameter_set import ParameterSet - -lisflood_fraser = ParameterSet.from_github( - org="ec-jrc", - repo="lisflood-usecases", - branch="master", - subfolder="LF_lat_lon_UseCase", - name="lisflood_fraser", - directory="lisflood_fraser", - config="settings_lat_lon-Run.xml", - doi="N/A", - target_model="lisflood", - supported_model_versions={"20.10"}, -) diff --git a/src/ewatercycle/plugins/marrmot/__init__.py b/src/ewatercycle/plugins/marrmot/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/src/ewatercycle/plugins/marrmot/forcing.py b/src/ewatercycle/plugins/marrmot/forcing.py deleted file mode 100644 index 44e08125..00000000 --- a/src/ewatercycle/plugins/marrmot/forcing.py +++ /dev/null @@ -1,172 +0,0 @@ -"""Forcing related functionality for MARRMoT.""" - -from datetime import datetime -from pathlib import Path -from typing import Optional - -import pandas as pd -import xarray as xr -from scipy.io import loadmat - -from ewatercycle.base.forcing import DefaultForcing -from ewatercycle.esmvaltool.builder import RecipeBuilder -from ewatercycle.esmvaltool.schema import Dataset, Recipe - - -class MarrmotForcing(DefaultForcing): - """Container for MARRMoT forcing data. - - Args: - directory: Directory where forcing data files are stored. - start_time: Start time of forcing in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. - end_time: End time of forcing in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. - shape: Path to a shape file. Used for spatial selection. - forcing_file: Matlab file that contains forcings for MARRMoT - models. See format forcing file in `model implementation - `_. - - Examples: - - From existing forcing data: - - .. code-block:: python - - from ewatercycle.forcing import sources - - forcing = sources.MarrmotForcing( - directory='/data/marrmot-forcings-case1', - start_time='1989-01-02T00:00:00Z', - end_time='1999-01-02T00:00:00Z', - forcing_file='marrmot-1989-1999.mat' - ) - - Generate from ERA5 forcing dataset and Rhine. - - .. code-block:: python - - from ewatercycle.forcing import sources - from ewatercycle.testing.fixtures import rhine_shape - - shape = rhine_shape() - forcing = sources.MarrmotForcing.generate( - dataset='ERA5', - start_time='2000-01-01T00:00:00Z', - end_time='2001-01-01T00:00:00Z', - shape=shape, - ) - """ - - forcing_file: Optional[str] = "marrmot.mat" - - @classmethod - def _build_recipe( - cls, - start_time: datetime, - end_time: datetime, - shape: Path, - dataset: Dataset | str | dict, - **model_specific_options, - ): - return build_marrmot_recipe( - start_year=start_time.year, - end_year=end_time.year, - shape=shape, - dataset=dataset, - ) - - @classmethod - def _recipe_output_to_forcing_arguments(cls, recipe_output, model_specific_options): - # key in recipe_output is concat of dataset, shape start year and end year - # for example 'marrmot_ERA5_Rhine_2000_2001.mat' - # instead of constructing key just use first and only value of dict - first_forcing_file = next(iter(recipe_output.values())) - return {"forcing_file": first_forcing_file} - - def to_xarray(self) -> xr.Dataset: - """Load forcing data from a Matlab file into an xarray dataset. - - Returns: - Dataset with forcing data. - """ - if self.directory is None or self.forcing_file is None: - raise ValueError("Directory or forcing_file is not set") - fn = self.directory / self.forcing_file - dataset = loadmat(fn, mat_dtype=True) - # Generated forcing with ewatercycle has shape (1, ) - # Mat files from elsewhere can have shape (, 1) - precip = dataset["forcing"]["precip"][0][0].flatten() - temp = dataset["forcing"]["temp"][0][0].flatten() - pet = dataset["forcing"]["pet"][0][0].flatten() - time_start = dataset["time_start"][0][:3] - forcing_start = datetime(*map(int, time_start)) # type: ignore - time_end = dataset["time_end"][0][:3] - forcing_end = datetime(*map(int, time_end)) # type: ignore - # store data as a pandas Series (deliberately keep default time: 00:00) - index = pd.date_range(forcing_start, forcing_end, name="time") - lat, lon = dataset["data_origin"][0] - # TODO use netcdf-cf conventions - return xr.Dataset( - { - "precipitation": ( - ["longitude", "latitude", "time"], - [[precip]], - {"units": "mm/day"}, - ), - "temperature": ( - ["longitude", "latitude", "time"], - [[temp]], - {"units": "C"}, - ), - "evspsblpot": ( - ["longitude", "latitude", "time"], - [[pet]], - {"units": "mm/day"}, - ), - }, - coords={ - "lon": (["longitude", "latitude"], [[lon]]), - "lat": (["longitude", "latitude"], [[lat]]), - "time": index, - }, - attrs={ - "title": "MARRMoT forcing data", - "history": "Created by ewatercycle.plugins.marrmot.forcing.MarrmotForcing.to_xarray()", - }, - ) - - -def build_marrmot_recipe( - start_year: int, - end_year: int, - shape: Path, - dataset: Dataset | str | dict, -) -> Recipe: - """Build an ESMValTool recipe for generating forcing for MARRMoT. - - Args: - start_year: Start year of forcing. - end_year: End year of forcing. - shape: Path to a shape file. Used for spatial selection. - dataset: Dataset to get forcing data from. - When string is given a predefined dataset is looked up in - :py:const:`ewatercycle.esmvaltool.datasets.DATASETS`. - When dict given it is passed to - :py:class:`ewatercycle.esmvaltool.models.Dataset` constructor. - """ - return ( - RecipeBuilder() - .title("Generate forcing for the MARRMoT hydrological model") - .description("Generate forcing for the MARRMoT hydrological model") - .dataset(dataset) - .start(start_year) - .end(end_year) - .shape(shape) - # TODO do lumping in recipe preprocessor instead of in diagnostic script - # .lump() - .add_variables(("tas", "pr", "psl", "rsds")) - .add_variable("rsdt", mip="CFday") - .script("hydrology/marrmot.py", {"basin": shape.stem}) - .build() - ) diff --git a/src/ewatercycle/plugins/marrmot/model.py b/src/ewatercycle/plugins/marrmot/model.py deleted file mode 100644 index fa42eb62..00000000 --- a/src/ewatercycle/plugins/marrmot/model.py +++ /dev/null @@ -1,307 +0,0 @@ -"""eWaterCycle wrapper around Marrmot BMI.""" - -import datetime -import logging -from dataclasses import asdict, dataclass -from pathlib import Path -from typing import Any, ItemsView, Literal - -import scipy.io as sio -from pydantic import PrivateAttr, model_validator - -from ewatercycle.base.model import ISO_TIMEFMT, ContainerizedModel -from ewatercycle.container import ContainerImage -from ewatercycle.plugins.marrmot.forcing import MarrmotForcing -from ewatercycle.util import get_time - -logger = logging.getLogger(__name__) - - -@dataclass -class Solver: - """Container for properties of the solver. - - For current implementations see `here - `_. - """ - - name: str = "createOdeApprox_IE" - resnorm_tolerance: float = 0.1 - resnorm_maxiter: float = 6.0 - - -def get_marrmot_time(config: dict, which: Literal["start", "end"]) -> str: - """Get the start/end timestamps from the Marrmott config.""" - yr, mn, dy, hr, mi, sc = (int(el) for el in config[f"time_{which}"][0][0:6]) - dt = datetime.datetime(yr, mn, dy, hr, mi, sc) - return dt.strftime(ISO_TIMEFMT) - - -def get_solver(config: dict) -> Solver: - """Return a Solver object, generated from the configuration info.""" - return Solver( - name=config["solver"]["name"][0][0][0], - resnorm_tolerance=config["solver"]["resnorm_tolerance"][0][0][0], - resnorm_maxiter=config["solver"]["resnorm_maxiter"][0][0][0], - ) - - -def _update_model_time( - model: "MarrmotM01 | MarrmotM14", - time: datetime.datetime, - which: Literal["start", "end"], -) -> None: - """Update the model start or end time (in-place).""" - if time < get_time(model.forcing.start_time) or time > get_time( - model.forcing.end_time - ): - raise ValueError(f"{which}_time outside forcing time range") - model._config[f"time_{which}"][0][0:6] = [ - time.year, - time.month, - time.day, - time.hour, - time.minute, - time.second, - ] - - -class MarrmotM01(ContainerizedModel): - """eWaterCycle implementation of Marrmot Collie River 1 (traditional bucket) model. - - It sets MarrmotM01 parameter with an initial value that is the mean value of - the range specfied in `model parameter range file - `_. - - Args: - version: pick a version for which an ewatercycle grpc4bmi docker image - is available. forcing: a MarrmotForcing object. If forcing file contains - parameter and other settings, those are used and can be changed in - :py:meth:`setup`. - - Example: - See examples/marrmotM01.ipynb in `ewatercycle repository - `_ - """ - - forcing: MarrmotForcing - bmi_image: ContainerImage = ContainerImage("ewatercycle/marrmot-grpc4bmi:2020.11") - - _model_name: str = PrivateAttr("m_01_collie1_1p_1s") - _config: dict = PrivateAttr() - - @model_validator(mode="after") - def _initialize_config(self) -> "MarrmotM01": - # TODO: remove assertions after refactoring Forcing - assert self.forcing.directory is not None - assert self.forcing.forcing_file is not None - - self._config = sio.loadmat( - str(self.forcing.directory / self.forcing.forcing_file), mat_dtype=True - ) - return self - - def _make_cfg_file(self, **kwargs) -> Path: - """Write model configuration file. - - Adds the model parameters to forcing file for the given period and - writes this information to a model configuration file. - - Args: - cfg_dir: a run directory given by user or created for user. - - Returns: - Path for Marrmot config file - """ - if "start_time" in kwargs: - _update_model_time(self, get_time(kwargs["start_time"]), which="start") - else: - _update_model_time(self, get_time(self.forcing.start_time), which="start") - - if "end_time" in kwargs: - _update_model_time(self, get_time(kwargs["end_time"]), which="end") - else: - _update_model_time(self, get_time(self.forcing.end_time), which="end") - - self._config.update(model_name=self._model_name) - if "maximum_soil_moisture_storage" in kwargs: - self._config.update(parameters=[kwargs["maximum_soil_moisture_storage"]]) - if "initial_soil_moisture_storage" in kwargs: - self._config.update(store_ini=[kwargs["initial_soil_moisture_storage"]]) - if "solver" in kwargs: - self._config.update(solver=asdict(kwargs["solver"])) - - config_file = self._cfg_dir / "marrmot-m01_config.mat" - sio.savemat(config_file, self._config) - return config_file - - @property - def parameters(self) -> ItemsView[str, Any]: - """List MarrmotM01's parameters and their values. - - Model parameters: - maximum_soil_moisture_storage: in mm. Range is specfied in `model - parameter range file - `_. - initial_soil_moisture_storage: in mm. - start_time: Start time of model in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. If not given then forcing start time is - used. - end_time: End time of model in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. If not given then forcing end time is used. - solver: Solver settings - """ - return { - "maximum_soil_moisture_storage": self._config["parameters"][0], - "initial_soil_moisture_storage": self._config["store_ini"][0], - "solver": get_solver(self._config), - "start time": get_marrmot_time(self._config, "start"), - "end time": get_marrmot_time(self._config, "end"), - }.items() - - -M14_PARAMS = ( - "maximum_soil_moisture_storage", - "threshold_flow_generation_evap_change", - "leakage_saturated_zone_flow_coefficient", - "zero_deficit_base_flow_speed", - "baseflow_coefficient", - "gamma_distribution_chi_parameter", - "gamma_distribution_phi_parameter", -) - - -class MarrmotM14(ContainerizedModel): - """eWaterCycle implementation of Marrmot Top Model hydrological model. - - It sets MarrmotM14 parameter with an initial value that is the mean value of - the range specfied in `model parameter range file - `_. - - Args: - version: pick a version for which an ewatercycle grpc4bmi docker image - is available. - forcing: a MarrmotForcing object. - If forcing file contains parameter and other settings, those are used - and can be changed in :py:meth:`setup`. - - Example: - See examples/marrmotM14.ipynb in `ewatercycle repository - `_ - """ - - forcing: MarrmotForcing - bmi_image: ContainerImage = ContainerImage("ewatercycle/marrmot-grpc4bmi:2020.11") - - _model_name: str = PrivateAttr("m_14_topmodel_7p_2s") - - _default_parameters: list[float] = [1000.0, 0.5, 0.5, 100.0, 0.5, 4.25, 2.5] - _default_store_ini: list[float] = [900.0, 900.0] - - @model_validator(mode="after") - def _initialize_config(self) -> "MarrmotM14": - assert self.forcing.directory is not None - assert self.forcing.forcing_file is not None - - forcing_filepath = str(self.forcing.directory / self.forcing.forcing_file) - self._config = sio.loadmat(forcing_filepath, mat_dtype=True) - - if "parameters" in self._config: - if len(self._config["parameters"] != 7): - self._config["parameters"] = self._default_parameters - message = ( - "The length of parameters in forcing " - f"{forcing_filepath} does not match " - "the length of M14 parameters that is seven." - ) - logger.warning("%s", message) - self._config["parameters"] = self._default_parameters - else: - self._config["parameters"] = self._default_parameters - - if "store_ini" in self._config: - if len(self._config["store_ini"]) != 2: - message = ( - "The length of initial stores in forcing " - f"{forcing_filepath} does not match " - "the length of M14 iniatial stores that is two." - ) - logger.warning("%s", message) - self._config["store_ini"] = self._default_store_ini - else: - self._config["store_ini"] = self._default_store_ini - - return self - - def _make_cfg_file(self, **kwargs) -> Path: - """Write model configuration file. - - Adds the model parameters to forcing file for the given period and - writes this information to a model configuration file. - - Args: - cfg_dir: a run directory given by user or created for user. - - Returns: - Path for Marrmot config file - """ - if "start_time" in kwargs: - _update_model_time(self, get_time(kwargs["start_time"]), which="start") - else: - _update_model_time(self, get_time(self.forcing.start_time), which="start") - - if "end_time" in kwargs: - _update_model_time(self, get_time(kwargs["end_time"]), which="end") - else: - _update_model_time(self, get_time(self.forcing.end_time), which="end") - - self._config.update(model_name=self._model_name) - if "solver" in kwargs: - self._config.update(solver=asdict(kwargs["solver"])) - if "initial_upper_zone_storage" in kwargs: - self._config["store_ini"][0] = kwargs["initial_upper_zone_storage"] - if "initial_saturated_zone_storage" in kwargs: - self._config["store_ini"][1] = kwargs["initial_saturated_zone_storage"] - - for index, key in enumerate(M14_PARAMS): - if key in kwargs: - self._config["parameters"][index] = kwargs[key] - - config_file = self._cfg_dir / "marrmot-m14_config.mat" - sio.savemat(config_file, self._config) - return config_file - - @property - def parameters(self) -> ItemsView[str, Any]: - """List the parameters for this model. - - Exposed Marrmot M14 parameters: - maximum_soil_moisture_storage: in mm. Range is specfied in `model - parameter range file - `_. - threshold_flow_generation_evap_change. - leakage_saturated_zone_flow_coefficient: in mm/d. - zero_deficit_base_flow_speed: in mm/d. - baseflow_coefficient: in mm-1. - gamma_distribution_chi_parameter. - gamma_distribution_phi_parameter. - initial_upper_zone_storage: in mm. - initial_saturated_zone_storage: in mm. - start_time: Start time of model in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. If not given then forcing start time is - used. - end_time: End time of model in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. If not given then forcing end time is used. - solver: Solver settings - """ - pars: dict[str, Any] = dict(zip(M14_PARAMS, self._config["parameters"])) - pars.update( - { - "initial_upper_zone_storage": self._config["store_ini"][0], - "initial_saturated_zone_storage": self._config["store_ini"][1], - "solver": get_solver(self._config), - "start time": get_marrmot_time(self._config, "start"), - "end time": get_marrmot_time(self._config, "end"), - } - ) - return pars.items() diff --git a/src/ewatercycle/plugins/pcrglobwb/__init__.py b/src/ewatercycle/plugins/pcrglobwb/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/src/ewatercycle/plugins/pcrglobwb/forcing.py b/src/ewatercycle/plugins/pcrglobwb/forcing.py deleted file mode 100644 index cf5e5484..00000000 --- a/src/ewatercycle/plugins/pcrglobwb/forcing.py +++ /dev/null @@ -1,214 +0,0 @@ -"""Forcing related functionality for PCR-GLOBWB.""" - -from datetime import datetime -from pathlib import Path -from typing import Optional - -from ewatercycle.base.forcing import DefaultForcing -from ewatercycle.esmvaltool.builder import RecipeBuilder -from ewatercycle.esmvaltool.schema import ClimateStatistics, Dataset, ExtractRegion -from ewatercycle.util import get_time - - -class PCRGlobWBForcing(DefaultForcing): - """Container for PCR-GLOBWB forcing data. - - Args: - directory: Directory where forcing data files are stored. - start_time: Start time of forcing in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. - end_time: End time of forcing in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. - shape: Path to a shape file. Used for spatial selection. - precipitationNC (optional): Input file for precipitation data. Defaults to - 'precipitation.nc'. - temperatureNC (optional): Input file for temperature data. Defaults to - 'temperature.nc' - - Example: - - To generate forcing from ERA5 for the Rhine catchment for 2000-2001: - - .. code-block:: python - - from pathlib import Path - - from rich import print - - from ewatercycle.plugins.pcrglobwb.forcing import PCRGlobWBForcing - - shape = Path("./src/ewatercycle/testing/data/Rhine/Rhine.shp") - - forcing = PCRGlobWBForcing.generate( - dataset='ERA5', - start_time='2000-01-01T00:00:00Z', - end_time='2001-01-01T00:00:00Z', - shape=shape.absolute(), - start_time_climatology='2000-01-01T00:00:00Z', - end_time_climatology='2001-01-01T00:00:00Z', - ) - print(forcing) - - Gives something like: - - .. code-block:: python - - PCRGlobWBForcing( - model='pcrglobwb', - start_time='2000-01-01T00:00:00Z', - end_time='2001-01-01T00:00:00Z', - directory=PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/esmvaltool_output/ewcrephogjj0pt_20230816_095928/work/diagnostic/script'), - shape=PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/src/ewatercycle/testing/data/Rhine/Rhine.shp'), - precipitationNC='pcrglobwb_OBS6_ERA5_reanaly_*_day_pr_2000-2001_Rhine.nc', - temperatureNC='pcrglobwb_OBS6_ERA5_reanaly_*_day_tas_2000-2001_Rhine.nc' - ) - """ - - precipitationNC: Optional[str] = "precipitation.nc" - temperatureNC: Optional[str] = "temperature.nc" - - @classmethod - def generate( # type: ignore - cls, - dataset: str | Dataset | dict, - start_time: str, - end_time: str, - shape: str, - start_time_climatology: str, # TODO make optional, default to start_time - end_time_climatology: str, # TODO make optional, defaults to start_time + 1 y - extract_region: Optional[dict] = None, - directory: Optional[str] = None, - ) -> "PCRGlobWBForcing": - """Generate forcings for a model. - - The forcing is generated with help of - `ESMValTool `_. - - Args: - dataset: Dataset to get forcing data from. - When string is given a predefined dataset is looked up in - :py:const:`ewatercycle.esmvaltool.datasets.DATASETS`. - When dict given it is passed to - :py:class:`ewatercycle.esmvaltool.models.Dataset` constructor. - start_time: Start time of forcing in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. - end_time: nd time of forcing in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. - shape: Path to a shape file. Used for spatial selection. - directory: Directory in which forcing should be written. - If not given will create timestamped directory. - start_time_climatology: Start time for the climatology data - end_time_climatology: End time for the climatology data - extract_region: Region specification, dictionary must - contain `start_longitude`, `end_longitude`, `start_latitude`, - `end_latitude` - """ - # method is replicated here to document the model specific options - return super(PCRGlobWBForcing, cls).generate( - dataset=dataset, - start_time=start_time, - end_time=end_time, - shape=shape, - start_time_climatology=start_time_climatology, - end_time_climatology=end_time_climatology, - extract_region=extract_region, - directory=directory, - ) - - @classmethod - def _build_recipe( - cls, - start_time: datetime, - end_time: datetime, - shape: Path, - dataset: Dataset | str | dict = "ERA5", - **model_specific_options, - ): - start_time_climatology = model_specific_options["start_time_climatology"] - end_time_climatology = model_specific_options["end_time_climatology"] - extract_region = model_specific_options["extract_region"] - return build_pcrglobwb_recipe( - start_year=start_time.year, - end_year=end_time.year, - shape=shape, - dataset=dataset, - start_year_climatology=get_time(start_time_climatology).year, - end_year_climatology=get_time(end_time_climatology).year, - extract_region=extract_region, - ) - - @classmethod - def _recipe_output_to_forcing_arguments(cls, recipe_output, model_specific_options): - # TODO dont rename recipe output, but use standard name from ESMValTool - return { - "precipitationNC": recipe_output["pr"], - "temperatureNC": recipe_output["tas"], - } - - -def build_pcrglobwb_recipe( - start_year: int, - end_year: int, - shape: Path, - start_year_climatology: int, - end_year_climatology: int, - dataset: Dataset | str | dict, - extract_region: ExtractRegion | None = None, -): - """Build an ESMValTool recipe for PCR-GLOBWB forcing. - - Args: - start_year: The start year of the recipe. - end_year: The end year of the recipe. - shape: The shape of the region to extract. - start_year_climatology: The start year of the climatology. - end_year_climatology: The end year of the climatology. - dataset: Dataset to use for the recipe. - When string is given a predefined dataset is looked up in - :py:const:`ewatercycle.esmvaltool.datasets.DATASETS`. - When dict given it is passed to - :py:class:`ewatercycle.esmvaltool.models.Dataset` constructor. - extract_region: The region to extract. - When not given uses extents of shape. - - Returns: - The recipe for PCR-GLOBWB forcing. - """ - partial = ( - RecipeBuilder() - .title("PCR-GLOBWB forcing recipe") - .description("PCR-GLOBWB forcing recipe") - .dataset(dataset) - .start(start_year) - .end(end_year) - ) - if extract_region is None: - partial = partial.region_by_shape(shape) - else: - partial = partial.region( - start_longitude=extract_region["start_longitude"], - end_longitude=extract_region["end_longitude"], - start_latitude=extract_region["start_latitude"], - end_latitude=extract_region["end_latitude"], - ) - return ( - partial.add_variable("pr", units="kg m-2 d-1") - .add_variable("tas") - .add_variable( - "pr_climatology", - units="kg m-2 d-1", - stats=ClimateStatistics(operator="mean", period="day"), - short_name="pr", - start_year=start_year_climatology, - end_year=end_year_climatology, - ) - .add_variable( - "tas_climatology", - stats=ClimateStatistics(operator="mean", period="day"), - short_name="tas", - start_year=start_year_climatology, - end_year=end_year_climatology, - ) - .script("hydrology/pcrglobwb.py", {"basin": shape.stem}) - .build() - ) diff --git a/src/ewatercycle/plugins/pcrglobwb/model.py b/src/ewatercycle/plugins/pcrglobwb/model.py deleted file mode 100644 index edee4293..00000000 --- a/src/ewatercycle/plugins/pcrglobwb/model.py +++ /dev/null @@ -1,172 +0,0 @@ -"""eWaterCycle wrapper around PCRGlobWB BMI.""" - -import logging -from os import PathLike -from typing import Any, ItemsView, Optional - -import bmipy -import numpy as np -from grpc4bmi.bmi_memoized import MemoizedBmi -from grpc4bmi.bmi_optionaldest import OptionalDestBmi -from pydantic import PrivateAttr, model_validator - -from ewatercycle.base.model import ContainerizedModel -from ewatercycle.base.parameter_set import ParameterSet -from ewatercycle.container import BmiProxy, ContainerImage, start_container -from ewatercycle.plugins.pcrglobwb.forcing import PCRGlobWBForcing -from ewatercycle.util import CaseConfigParser, get_time, to_absolute_path - -logger = logging.getLogger(__name__) - - -class _SwapXY(BmiProxy): - """Corrective glasses for pcrg model in container images. - - The model in the images defined in :pt:const:`_version_images` have swapped x and y coordinates. - - At https://bmi.readthedocs.io/en/stable/model_grids.html#model-grids it says that - that x are columns or longitude and y are rows or latitude. - While in the image the get_grid_x method returned latitude and get_grid_y method returned longitude. - """ - - def get_grid_x(self, grid: int, x: np.ndarray) -> np.ndarray: - return self.origin.get_grid_y(grid, x) - - def get_grid_y(self, grid: int, y: np.ndarray) -> np.ndarray: - return self.origin.get_grid_x(grid, y) - - -class PCRGlobWB(ContainerizedModel): - """eWaterCycle implementation of PCRGlobWB hydrological model. - - Args: - parameter_set: instance of - :py:class:`~ewatercycle.parameter_sets.default.ParameterSet`. - forcing: ewatercycle forcing container; - see :py:mod:`ewatercycle.forcing`. - - """ - - forcing: Optional[PCRGlobWBForcing] = None - parameter_set: ParameterSet # not optional for this model - bmi_image: ContainerImage = ContainerImage("ewatercycle/pcrg-grpc4bmi:setters") - - _config: CaseConfigParser = PrivateAttr() - - @model_validator(mode="after") - def _initialize_config(self: "PCRGlobWB") -> "PCRGlobWB": - cfg = CaseConfigParser() - cfg.read(self.parameter_set.config) - cfg.set("globalOptions", "inputDir", str(self.parameter_set.directory)) - - if self.forcing: - assert self.forcing.temperatureNC is not None # TODO fix forcing class. - assert self.forcing.precipitationNC is not None - cfg.set( - "globalOptions", - "startTime", - get_time(self.forcing.start_time).strftime("%Y-%m-%d"), - ) - cfg.set( - "globalOptions", - "endTime", - get_time(self.forcing.start_time).strftime("%Y-%m-%d"), - ) - cfg.set( - "meteoOptions", - "temperatureNC", - str( - to_absolute_path( - self.forcing.temperatureNC, - parent=self.forcing.directory, - ) - ), - ) - cfg.set( - "meteoOptions", - "precipitationNC", - str( - to_absolute_path( - self.forcing.precipitationNC, - parent=self.forcing.directory, - ) - ), - ) - - self._config = cfg - return self - - @property - def parameters(self) -> ItemsView[str, Any]: - """List the parameters for this model.""" - return { - "start_time": f"{self._config.get('globalOptions', 'startTime')}T00:00:00Z", - "end_time": f"{self._config.get('globalOptions', 'endTime')}T00:00:00Z", - "routing_method": self._config.get("routingOptions", "routingMethod"), - "max_spinups_in_years": self._config.get( - "globalOptions", "maxSpinUpsInYears" - ), - }.items() - - def _make_cfg_file(self, **kwargs): - self._update_config(**kwargs) - return self._export_config() - - def _make_bmi_instance(self) -> bmipy.Bmi: - # Override because need to add _SwapXY wrapper - if self.parameter_set: - self._additional_input_dirs.append(str(self.parameter_set.directory)) - if self.forcing: - self._additional_input_dirs.append(str(self.forcing.directory)) - - return start_container( - image=self.bmi_image, - work_dir=self._cfg_dir, - input_dirs=self._additional_input_dirs, - timeout=300, - wrappers=(_SwapXY, MemoizedBmi, OptionalDestBmi), - ) - - def _update_config(self, **kwargs): - if "start_time" in kwargs: - self._config.set( - "globalOptions", - "startTime", - get_time(kwargs["start_time"]).strftime("%Y-%m-%d"), - ) - - if "end_time" in kwargs: - self._config.set( - "globalOptions", - "endTime", - get_time(kwargs["end_time"]).strftime("%Y-%m-%d"), - ) - - if "routing_method" in kwargs: - self._config.set( - "routingOptions", "routingMethod", kwargs["routing_method"] - ) - - if "dynamic_flood_plain" in kwargs: - self._config.set( - "routingOptions", - "dynamicFloodPlain", - kwargs["dynamic_flood_plain"], - ) - - if "max_spinups_in_years" in kwargs: - self._config.set( - "globalOptions", - "maxSpinUpsInYears", - str(kwargs["max_spinups_in_years"]), - ) - - def _export_config(self) -> PathLike: - self._config.set("globalOptions", "outputDir", str(self._cfg_dir)) - new_cfg_file = to_absolute_path( - "pcrglobwb_ewatercycle.ini", parent=self._cfg_dir - ) - with new_cfg_file.open("w") as filename: - self._config.write(filename) - - return new_cfg_file diff --git a/src/ewatercycle/plugins/pcrglobwb/parameter_sets.py b/src/ewatercycle/plugins/pcrglobwb/parameter_sets.py deleted file mode 100644 index 4c213f26..00000000 --- a/src/ewatercycle/plugins/pcrglobwb/parameter_sets.py +++ /dev/null @@ -1,17 +0,0 @@ -from ewatercycle.base.parameter_set import ParameterSet - -pcrglobwb_rhinemeuse_30min = ParameterSet.from_github( - org="UU-Hydro", - repo="PCR-GLOBWB_input_example", - branch="master", - subfolder="RhineMeuse30min", - # Relative to CFG.paramUU-eterset_dir - directory="pcrglobwb_rhinemeuse_30min", - name="pcrglobwb_rhinemeuse_30min", - # Relative to CFG.parameterset_dir / self.name - config="ini_and_batch_files/deltares_laptop/setup_natural_test.ini", - # DOI of big set on github is very small test set - doi="https://doi.org/10.5281/zenodo.1045339", - target_model="pcrglobwb", - supported_model_versions={"setters"}, -) diff --git a/src/ewatercycle/plugins/wflow/__init__.py b/src/ewatercycle/plugins/wflow/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/src/ewatercycle/plugins/wflow/forcing.py b/src/ewatercycle/plugins/wflow/forcing.py deleted file mode 100644 index 9536a07d..00000000 --- a/src/ewatercycle/plugins/wflow/forcing.py +++ /dev/null @@ -1,162 +0,0 @@ -"""Forcing related functionality for wflow.""" -from datetime import datetime -from pathlib import Path -from typing import Dict, Optional - -from ewatercycle.base.forcing import DefaultForcing -from ewatercycle.esmvaltool.builder import RecipeBuilder -from ewatercycle.esmvaltool.schema import Dataset - - -class WflowForcing(DefaultForcing): - """Container for wflow forcing data. - - Args: - directory: Directory where forcing data files are stored. - start_time: Start time of forcing in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. - end_time: End time of forcing in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. - shape: Path to a shape file. Used for spatial selection. - netcdfinput (str) = "inmaps.nc": Path to forcing file. - Precipitation (str) = "/pr": Variable name of precipitation data in - input file. - EvapoTranspiration (str) = "/pet": Variable name of - evapotranspiration data in input file. - Temperature (str) = "/tas": Variable name of temperature data in - input file. - Inflow (str) = None: Variable name of inflow data in input file. - """ - - netcdfinput: str = "inmaps.nc" - Precipitation: str = "/pr" # noqa: N803 - EvapoTranspiration: str = "/pet" - Temperature: str = "/tas" - Inflow: Optional[str] = None - - @classmethod - def generate( # type: ignore - cls, - dataset: str | Dataset | dict, - start_time: str, - end_time: str, - shape: str, - dem_file: str, - directory: Optional[str] = None, - extract_region: Optional[Dict[str, float]] = None, - ) -> "WflowForcing": - """Generate forcings for a model. - - The forcing is generated with help of - `ESMValTool `_. - - Args: - dataset: Dataset to get forcing data from. - When string is given a predefined dataset is looked up in - :py:const:`ewatercycle.esmvaltool.datasets.DATASETS`. - When dict given it is passed to - :py:class:`ewatercycle.esmvaltool.models.Dataset` constructor. - start_time: Start time of forcing in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. - end_time: nd time of forcing in UTC and ISO format string e.g. - 'YYYY-MM-DDTHH:MM:SSZ'. - shape: Path to a shape file. Used for spatial selection. - directory: Directory in which forcing should be written. - If not given will create timestamped directory. - dem_file: Name of the dem_file to use. - extract_region: Region specification, dictionary must - contain `start_longitude`, `end_longitude`, `start_latitude`, - `end_latitude` - """ - return super(WflowForcing, cls).generate( - dataset=dataset, - start_time=start_time, - end_time=end_time, - shape=shape, - dem_file=dem_file, - directory=directory, - extract_region=extract_region, - ) - - @classmethod - def _build_recipe( - cls, - start_time: datetime, - end_time: datetime, - shape: Path, - dataset: Dataset | str | dict, - **model_specific_options - ): - extract_region = model_specific_options["extract_region"] - return build_wflow_recipe( - start_year=start_time.year, - end_year=end_time.year, - shape=shape, - dataset=dataset, - dem_file=model_specific_options["dem_file"], - extract_region=extract_region, - ) - - @classmethod - def _recipe_output_to_forcing_arguments(cls, recipe_output, model_specific_options): - first_file = next(iter(recipe_output.values())) - return { - "netcdfinput": first_file, - } - - -def build_wflow_recipe( - start_year: int, - end_year: int, - shape: Path, - dataset: Dataset | str | dict, - dem_file: str, - extract_region: Optional[Dict[str, float]] = None, -): - """Build an ESMValTool recipe for the WFlow hydrological model. - - Args: - start_year: Start year of forcing. - end_year: End year of forcing. - shape: Path to a shape file. Used for spatial selection. - dataset: Dataset to get forcing data from. - When string is given a predefined dataset is looked up in - :py:const:`ewatercycle.esmvaltool.datasets.DATASETS`. - When dict given it is passed to - :py:class:`ewatercycle.esmvaltool.models.Dataset` constructor. - dem_file: Name of the dem_file to use. - extract_region: Region specification, dictionary must - contain `start_longitude`, `end_longitude`, `start_latitude`, - `end_latitude` - """ - partial = ( - RecipeBuilder() - .title("Generate forcing for the WFlow hydrological model") - .dataset(dataset) - .start(start_year) - .end(end_year) - ) - if extract_region is None: - magic_pad = 3 # TODO why 3? - partial = partial.region_by_shape(shape, pad=magic_pad) - else: - partial = partial.region( - start_longitude=extract_region["start_longitude"], - end_longitude=extract_region["end_longitude"], - start_latitude=extract_region["start_latitude"], - end_latitude=extract_region["end_latitude"], - ) - return ( - partial.add_variables(["tas", "pr", "psl", "rsds"]) - .add_variable("orog", mip="fx", start_year=False, end_year=False) - .add_variable("rsdt", mip="CFday") - .script( - "hydrology/wflow.py", - { - "basin": shape.stem, - "dem_file": dem_file, - "regrid": "area_weighted", - }, - ) - .build() - ) diff --git a/src/ewatercycle/plugins/wflow/model.py b/src/ewatercycle/plugins/wflow/model.py deleted file mode 100644 index c12a8469..00000000 --- a/src/ewatercycle/plugins/wflow/model.py +++ /dev/null @@ -1,159 +0,0 @@ -"""eWaterCycle wrapper around WFlow BMI.""" - -import datetime -import logging -import shutil -from pathlib import Path -from typing import Any, ItemsView, Optional - -import bmipy -import numpy as np -from grpc4bmi.bmi_memoized import MemoizedBmi -from grpc4bmi.bmi_optionaldest import OptionalDestBmi -from pydantic import PrivateAttr, model_validator - -from ewatercycle import CFG -from ewatercycle.base.model import ISO_TIMEFMT, ContainerizedModel -from ewatercycle.base.parameter_set import ParameterSet -from ewatercycle.container import BmiProxy, ContainerImage, start_container -from ewatercycle.plugins.wflow.forcing import WflowForcing -from ewatercycle.util import CaseConfigParser, get_time, to_absolute_path - -logger = logging.getLogger(__name__) - - -class _SwapXY(BmiProxy): - """Corrective glasses for Wflow model in container images. - - The models in the images defined in :pt:const:`_version_images` have swapped x and y coordinates. - - At https://bmi.readthedocs.io/en/stable/model_grids.html#model-grids it says that - that x are columns or longitude and y are rows or latitude. - While in the image the get_grid_x method returned latitude and get_grid_y method returned longitude. - """ - - def get_grid_x(self, grid: int, x: np.ndarray) -> np.ndarray: - return self.origin.get_grid_y(grid, x) - - def get_grid_y(self, grid: int, y: np.ndarray) -> np.ndarray: - return self.origin.get_grid_x(grid, y) - - -class Wflow(ContainerizedModel): - """Create an instance of the Wflow model class. - - Args: - parameter_set: instance of - :py:class:`~ewatercycle.parameter_sets.default.ParameterSet`. - forcing: instance of :py:class:`~WflowForcing` or None. - If None, it is assumed that forcing is included with the parameter_set. - """ - - forcing: Optional[WflowForcing] = None - parameter_set: ParameterSet # not optional for this model - bmi_image: ContainerImage = ContainerImage("ewatercycle/wflow-grpc4bmi:2020.1.3") - - _config: CaseConfigParser = PrivateAttr() - _work_dir: Path = PrivateAttr() - - @model_validator(mode="after") - def _initialize_config(self) -> "Wflow": - """Load config from parameter set and update with forcing info.""" - cfg = CaseConfigParser() - cfg.read(self.parameter_set.config) - - if self.forcing is not None: - cfg.set("framework", "netcdfinput", Path(self.forcing.netcdfinput).name) - cfg.set("inputmapstacks", "Precipitation", self.forcing.Precipitation) - cfg.set( - "inputmapstacks", - "EvapoTranspiration", - self.forcing.EvapoTranspiration, - ) - cfg.set("inputmapstacks", "Temperature", self.forcing.Temperature) - cfg.set("run", "starttime", _iso_to_wflow(self.forcing.start_time)) - cfg.set("run", "endtime", _iso_to_wflow(self.forcing.end_time)) - if not cfg.has_section("API"): - logger.warning( - "Config file from parameter set is missing API section, " - "adding section" - ) - cfg.add_section("API") - if not cfg.has_option("API", "RiverRunoff"): - logger.warning( - "Config file from parameter set is missing RiverRunoff " - "option in API section, added it with value '2, m/s option'" - ) - cfg.set("API", "RiverRunoff", "2, m/s") - - self._config = cfg - return self - - def _make_cfg_file(self, **kwargs) -> Path: - """Create a new wflow config file and return its path.""" - if "start_time" in kwargs: - self._config.set("run", "starttime", _iso_to_wflow(kwargs["start_time"])) - if "end_time" in kwargs: - self._config.set("run", "endtime", _iso_to_wflow(kwargs["end_time"])) - - cfg_file = to_absolute_path("wflow_ewatercycle.ini", parent=self._work_dir) - with cfg_file.open("w") as filename: - self._config.write(filename) - - return cfg_file - - def _make_bmi_instance(self) -> bmipy.Bmi: - # Override because need to add _SwapXY wrapper - if self.parameter_set: - self._additional_input_dirs.append(str(self.parameter_set.directory)) - if self.forcing: - self._additional_input_dirs.append(str(self.forcing.directory)) - - return start_container( - image=self.bmi_image, - work_dir=self._cfg_dir, - input_dirs=self._additional_input_dirs, - timeout=300, - wrappers=(_SwapXY, MemoizedBmi, OptionalDestBmi), - ) - - def _make_cfg_dir(self, cfg_dir: Optional[str] = None, **kwargs) -> Path: - """Create working directory for parameter sets, forcing and wflow config.""" - if cfg_dir: - self._work_dir = to_absolute_path(cfg_dir) - else: - timestamp = datetime.datetime.now(datetime.timezone.utc).strftime( - "%Y%m%d_%H%M%S" - ) - self._work_dir = to_absolute_path( - f"wflow_{timestamp}", parent=CFG.output_dir - ) - # Make sure parents exist - self._work_dir.parent.mkdir(parents=True, exist_ok=True) - - assert self.parameter_set - shutil.copytree(src=self.parameter_set.directory, dst=self._work_dir) - if self.forcing: - forcing_path = to_absolute_path( - self.forcing.netcdfinput, parent=self.forcing.directory - ) - shutil.copy(src=forcing_path, dst=self._work_dir) - - return self._work_dir - - @property - def parameters(self) -> ItemsView[str, Any]: - return { - "start_time": _wflow_to_iso(self._config.get("run", "starttime")), - "end_time": _wflow_to_iso(self._config.get("run", "endtime")), - }.items() - - -def _wflow_to_iso(time): - dt = datetime.datetime.fromisoformat(time) - return dt.strftime(ISO_TIMEFMT) - - -def _iso_to_wflow(time): - dt = get_time(time) - return dt.strftime("%Y-%m-%d %H:%M:%S") diff --git a/src/ewatercycle/plugins/wflow/parameter_sets.py b/src/ewatercycle/plugins/wflow/parameter_sets.py deleted file mode 100644 index 918b0954..00000000 --- a/src/ewatercycle/plugins/wflow/parameter_sets.py +++ /dev/null @@ -1,14 +0,0 @@ -from ewatercycle.base.parameter_set import ParameterSet - -wflow_rhine_sbm_nc = ParameterSet.from_github( - org="openstreams", - repo="wflow", - branch="master", - subfolder="examples/wflow_rhine_sbm_nc", - directory="wflow_rhine_sbm_nc", - name="wflow_rhine_sbm_nc", - config="wflow_sbm_NC.ini", - doi="N/A", - target_model="wflow", - supported_model_versions={"2020.1.1", "2020.1.2", "2020.1.3"}, -) diff --git a/src/ewatercycle/version.py b/src/ewatercycle/version.py index ea70aa73..ca986ad0 100644 --- a/src/ewatercycle/version.py +++ b/src/ewatercycle/version.py @@ -1,3 +1,2 @@ -# -*- coding: utf-8 -*- - -__version__ = "1.4.1" +"""Version of ewatercycle package.""" +__version__ = "2.0.0" diff --git a/tests/plugins/__init__.py b/tests/plugins/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/tests/plugins/hype/__init__.py b/tests/plugins/hype/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/tests/plugins/hype/conftest.py b/tests/plugins/hype/conftest.py deleted file mode 100644 index c5f86749..00000000 --- a/tests/plugins/hype/conftest.py +++ /dev/null @@ -1 +0,0 @@ -from ewatercycle.testing.fixtures import mocked_config, sample_shape diff --git a/tests/plugins/hype/test_forcing.py b/tests/plugins/hype/test_forcing.py deleted file mode 100644 index 36292773..00000000 --- a/tests/plugins/hype/test_forcing.py +++ /dev/null @@ -1,255 +0,0 @@ -import datetime -from pathlib import Path -from textwrap import dedent - -import pytest -import xarray as xr -from esmvalcore.experimental import Recipe -from esmvalcore.experimental.recipe_info import RecipeInfo -from esmvalcore.experimental.recipe_output import RecipeOutput - -from ewatercycle.base.forcing import FORCING_YAML -from ewatercycle.plugins.hype.forcing import HypeForcing, build_hype_recipe -from ewatercycle.testing.helpers import reyamlify - - -def create_txt(path: Path, var_name: str) -> Path: - fn = path / f"{var_name}.txt" - # Some dummy data shaped as the model expects it - lines = [ - "DATE 300730 300822", - "1990-01-01 -0.943 -2.442", - "1990-01-02 -0.308 -0.868", - ] - fn.write_text("\n".join(lines)) - return fn - - -@pytest.fixture -def mock_recipe_run(monkeypatch, tmp_path): - """Mock the `run` method on esmvalcore Recipe's.""" - recorder = {} - - dummy_recipe_output = RecipeOutput( - { - "diagnostic/script": { - create_txt(tmp_path, "Tobs"): {}, - create_txt(tmp_path, "TMINobs"): {}, - create_txt(tmp_path, "TMAXobs"): {}, - create_txt(tmp_path, "Pobs"): {}, - } - }, - info=RecipeInfo({"diagnostics": {"diagnostic": {}}}, "script"), - ) - - def mock_run(self, session=None): - """Record run arguments for inspection and return dummy output.""" - nonlocal recorder - recorder["session"] = session - return dummy_recipe_output - - monkeypatch.setattr(Recipe, "run", mock_run) - return recorder - - -class TestGenerate: - @pytest.fixture - def forcing(self, mock_recipe_run, sample_shape): - # The recipe needs a compose shapefile, but the sample shape is not composed. - # That is OK because we mock the recipe run - return HypeForcing.generate( - dataset="ERA5", - start_time="1989-01-02T00:00:00Z", - end_time="1999-01-02T00:00:00Z", - shape=sample_shape, - ) - - def test_result(self, forcing, tmp_path, sample_shape): - expected = HypeForcing( - directory=str(tmp_path), - start_time="1989-01-02T00:00:00Z", - end_time="1999-01-02T00:00:00Z", - shape=str(sample_shape), - Pobs="Pobs.txt", - TMAXobs="TMAXobs.txt", - TMINobs="TMINobs.txt", - Tobs="Tobs.txt", - ) - assert forcing == expected - - def test_saved_yaml_content(self, forcing, tmp_path): - saved_forcing = (tmp_path / FORCING_YAML).read_text() - # shape should is not included in the yaml file - expected = dedent( - """\ - start_time: '1989-01-02T00:00:00Z' - end_time: '1999-01-02T00:00:00Z' - Pobs: Pobs.txt - TMAXobs: TMAXobs.txt - TMINobs: TMINobs.txt - Tobs: Tobs.txt - """ - ) - - assert saved_forcing == expected - - def test_saved_yaml_by_loading(self, forcing, tmp_path): - saved_forcing = HypeForcing.load(tmp_path) - # shape should is not included in the yaml file - forcing.shape = None - - assert forcing == saved_forcing - - def test_to_xarray(self, forcing): - ds = forcing.to_xarray() - - expected = xr.Dataset( - data_vars={ - "Pobs": ( - ("time", "subbasin"), - [[-0.943, -2.442], [-0.308, -0.868]], - ), - "TMAXobs": ( - ("time", "subbasin"), - [[-0.943, -2.442], [-0.308, -0.868]], - ), - "TMINobs": ( - ("time", "subbasin"), - [[-0.943, -2.442], [-0.308, -0.868]], - ), - "Tobs": ( - ("time", "subbasin"), - [[-0.943, -2.442], [-0.308, -0.868]], - ), - }, - coords={ - "time": ( - ("time",), - [ - datetime.datetime(1990, 1, 1, 0, 0), - datetime.datetime(1990, 1, 2, 0, 0), - ], - ), - "subbasin": (("subbasin",), [300730, 300822]), - }, - attrs={ - "title": "Hype forcing data", - "history": "Created by ewatercycle.plugins.hype.forcing.HypeForcing.to_xarray()", - }, - ) - - xr.testing.assert_equal(ds, expected) - - -def test_with_directory(mock_recipe_run, sample_shape, tmp_path): - forcing_dir = tmp_path / "myforcing" - HypeForcing.generate( - dataset="ERA5", - start_time="1989-01-02T00:00:00Z", - end_time="1999-01-02T00:00:00Z", - shape=str(sample_shape), - directory=forcing_dir, - ) - - assert mock_recipe_run["session"].session_dir == forcing_dir - - -def test_build_hype_recipe(sample_shape: str): - recipe = build_hype_recipe( - dataset="ERA5", - start_year=1990, - end_year=2001, - shape=Path(sample_shape), - ) - recipe_as_string = recipe.to_yaml() - - # Should look similar to - # https://github.com/ESMValGroup/ESMValTool/blob/main/esmvaltool/recipes/hydrology/recipe_hype.yml - expected = dedent( - f"""\ -documentation: - title: Hype forcing data - description: '' - authors: - - unmaintained - projects: - - ewatercycle -datasets: -- dataset: ERA5 - project: OBS6 - tier: 3 - type: reanaly - version: 1 -preprocessors: - spatial: - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: true - area_statistics: - operator: mean - tas: - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: true - area_statistics: - operator: mean - convert_units: - units: degC - tasmin: - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: true - area_statistics: - operator: mean - convert_units: - units: degC - tasmax: - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: true - area_statistics: - operator: mean - convert_units: - units: degC - pr: - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: true - area_statistics: - operator: mean - convert_units: - units: kg m-2 d-1 -diagnostics: - diagnostic: - scripts: - script: - script: hydrology/hype.py - variables: - tas: - start_year: 1990 - end_year: 2001 - mip: day - preprocessor: tas - tasmin: - start_year: 1990 - end_year: 2001 - mip: day - preprocessor: tasmin - tasmax: - start_year: 1990 - end_year: 2001 - mip: day - preprocessor: tasmax - pr: - start_year: 1990 - end_year: 2001 - mip: day - preprocessor: pr - """ - ) - assert recipe_as_string == reyamlify(expected) diff --git a/tests/plugins/hype/test_model.py b/tests/plugins/hype/test_model.py deleted file mode 100644 index 675ac6a8..00000000 --- a/tests/plugins/hype/test_model.py +++ /dev/null @@ -1,407 +0,0 @@ -from datetime import datetime -from pathlib import Path -from textwrap import dedent -from unittest.mock import patch - -import numpy as np -import pytest -from grpc4bmi.bmi_client_apptainer import BmiClientApptainer -from grpc4bmi.bmi_optionaldest import OptionalDestBmi - -from ewatercycle import CFG -from ewatercycle.base.parameter_set import ParameterSet -from ewatercycle.forcing import sources -from ewatercycle.plugins.hype.model import Hype, _set_code_in_cfg -from ewatercycle.testing.fake_models import FailingModel - -HypeForcing = sources["HypeForcing"] - - -@pytest.fixture -def mocked_config(tmp_path): - CFG.output_dir = tmp_path - CFG.container_engine = "apptainer" - CFG.apptainer_dir = tmp_path - CFG.parameter_sets = {} - CFG.parameterset_dir = tmp_path - return CFG - - -@pytest.fixture -def parameter_set(mocked_config): - # Contents copied/inspired by demo.zip at https://sourceforge.net/projects/hype/files/release_hype_5_6_2/ - directory = mocked_config.parameterset_dir / "hype_testcase" - directory.mkdir(parents=True) - config = directory / "info.txt" - # write info.txt - config.write_text( - dedent( - """\ - !!Information om k�rningen. - bdate 1961-01-01 - cdate 1962-01-01 - edate 1963-12-31 - substance N P - readobsid n - !!basinoutput - basinoutput variable prec temp cout ccIN ccON ccSP ccPP - basinoutput subbasin 609 - basinoutput meanperiod 1 - basinoutput decimals 7 - !!mapoutput - mapoutput variable cTNl cTPl prec ccTN ccTP - mapoutput meanperiod 5 - mapoutput decimals 3 - !!timeoutput - timeoutput variable prec temp crun - timeoutput meanperiod 3 - timeoutput decimals 2 - """ - ) - ) - - # write some parameter file - geodata = directory / "GeoData.txt" - geodata.write_text( - dedent( - """NAME SUBID MAINDOWN X Y AREA ROWNR ELEV_MEAN SLOPE_MEAN REGION LAKEREGION parreg SLC_1 SLC_2 SLC_3 SLC_4 SLC_5 SLC_6 SLC_7 SLC_8 SLC_9 SLC_10 SLC_11 SLC_12 SLC_13 SLC_14 SLC_15 SLC_16 SLC_17 lake_depth LAKEDATAID wetdep_n drydep_n1 drydep_n2 drydep_n3 RIVLEN Icatch close_w buffer - subareaname 609 0 6442230 1554840 5600000 1 11.1 0.031 80 5 2 0 0.117 0 0 00 0 0.125 0 0 0 0.754 0 0 0 0 0.004 3.3 0 540 0.7 1.1 0.4 2366.4 0.33 0.29 0.08 - """ - ) - ) - return ParameterSet( - name="hype_testcase", - directory=str(directory), - config=str(config), - target_model="hype", - ) - - -class TestWithOnlyParameterSetAndDefaults: - @pytest.fixture - def model(self, parameter_set): - return Hype(parameter_set=parameter_set) - - @pytest.fixture - def model_with_setup(self, mocked_config, model: Hype): - with ( - patch.object( - BmiClientApptainer, "__init__", return_value=None - ) as mocked_constructor, - patch("datetime.datetime") as mocked_datetime, - ): - mocked_datetime.now.return_value = datetime(2021, 1, 2, 3, 4, 5) - config_file, config_dir = model.setup() - return config_file, config_dir, mocked_constructor, model - - def test_setup_container(self, model_with_setup, tmp_path): - mocked_constructor = model_with_setup[2] - mocked_constructor.assert_called_once_with( - image="ewatercycle-hype-grpc4bmi_feb2021.sif", - work_dir=f"{tmp_path}/hype_20210102_030405", - input_dirs=[f"{tmp_path}/hype_testcase"], - timeout=300, - delay=0, - ) - - def test_setup_parameter_set_files(self, model_with_setup): - geodata = model_with_setup[3].parameter_set.directory / "GeoData.txt" - assert "subareaname" in geodata.read_text() - - def test_setup_config_file(self, model_with_setup): - config_file = model_with_setup[0] - expected = dedent( - """\ - !!Information om k�rningen. - bdate 1961-01-01 - cdate 1962-01-01 - edate 1963-12-31 - substance N P - readobsid n - !!basinoutput - basinoutput variable prec temp cout ccIN ccON ccSP ccPP - basinoutput subbasin 609 - basinoutput meanperiod 1 - basinoutput decimals 7 - !!mapoutput - mapoutput variable cTNl cTPl prec ccTN ccTP - mapoutput meanperiod 5 - mapoutput decimals 3 - !!timeoutput - timeoutput variable prec temp crun - timeoutput meanperiod 3 - timeoutput decimals 2 - resultdir ./ - """ - ) - assert Path(config_file).read_text() == expected - - def test_parameters(self, model): - expected = { - "start_time": "1961-01-01T00:00:00Z", - "end_time": "1963-12-31T00:00:00Z", - "crit_time": "1962-01-01T00:00:00Z", - }.items() - assert model.parameters == expected - - def test_get_value_as_xarray(self, model): - with pytest.raises(NotImplementedError): - model.get_value_as_xarray("comp outflow olake") - - def test_get_value_at_coords(self, model): - class MockedBmi(FailingModel): - """Pretend to be a real BMI model.""" - - def get_var_grid(self, name): - return 1 - - def get_grid_x(self, grid_id, dest): - return np.array( - [5.8953929, 4.9553967, 5.6387277] - ) # x subbasin lons of subbasinsin hype - - def get_grid_y(self, grid_id, dest): - return np.array( - [51.16437912, 50.21104813, 48.6910553] - ) # y are lats of subbasins in hype - - def get_value_at_indices(self, name, dest, indices): - self.indices = indices - return np.array([13.0]) - - def get_var_type(self, name): - return "float64" - - def get_var_itemsize(self, name): - return np.float64().size - - def get_var_nbytes(self, name): - return np.float64().size * 3 * 3 - - def get_grid_rank(self, grid): - return 2 - - def get_grid_shape(self, grid, shape): - return (3, 3) - - def get_grid_type(self, grid): - return "rectilinear" - - model._bmi = OptionalDestBmi(MockedBmi()) - - actual = model.get_value_at_coords("comp outflow olake", lon=[5], lat=[50]) - assert actual == np.array([13.0]) - assert model.bmi.origin.indices == [1] - - -class TestWithOnlyParameterSetAndFullSetup: - @pytest.fixture - def model(self, parameter_set): - return Hype(parameter_set=parameter_set) - - @pytest.fixture - def model_with_setup(self, mocked_config, model: Hype, tmp_path): - with patch.object( - BmiClientApptainer, "__init__", return_value=None - ) as mocked_constructor, patch("datetime.datetime") as mocked_datetime: - mocked_datetime.now.return_value = datetime(2021, 1, 2, 3, 4, 5) - config_file, config_dir = model.setup( - start_time="2000-01-01T00:00:00Z", - end_time="2010-12-31T00:00:00Z", - crit_time="2002-01-01T00:00:00Z", - cfg_dir=str(tmp_path / "myworkdir"), - ) - return config_file, config_dir, mocked_constructor, model - - def test_setup_container(self, model_with_setup, tmp_path): - mocked_constructor = model_with_setup[2] - mocked_constructor.assert_called_once_with( - image="ewatercycle-hype-grpc4bmi_feb2021.sif", - work_dir=f"{tmp_path}/myworkdir", - input_dirs=[f"{tmp_path}/hype_testcase"], - timeout=300, - delay=0, - ) - - def test_setup_parameter_set_files(self, model_with_setup): - geodata = model_with_setup[3].parameter_set.directory / "GeoData.txt" - assert "subareaname" in geodata.read_text() - - def test_setup_config_file(self, model_with_setup): - config_file = model_with_setup[0] - expected = dedent( - """\ - !!Information om k�rningen. - bdate 2000-01-01 00:00:00 - cdate 2002-01-01 00:00:00 - edate 2010-12-31 00:00:00 - substance N P - readobsid n - !!basinoutput - basinoutput variable prec temp cout ccIN ccON ccSP ccPP - basinoutput subbasin 609 - basinoutput meanperiod 1 - basinoutput decimals 7 - !!mapoutput - mapoutput variable cTNl cTPl prec ccTN ccTP - mapoutput meanperiod 5 - mapoutput decimals 3 - !!timeoutput - timeoutput variable prec temp crun - timeoutput meanperiod 3 - timeoutput decimals 2 - resultdir ./ - """ - ) - assert Path(config_file).read_text() == expected - - def test_parameters(self, model_with_setup, model): - expected = { - "start_time": "2000-01-01T00:00:00Z", - "end_time": "2010-12-31T00:00:00Z", - "crit_time": "2002-01-01T00:00:00Z", - }.items() - assert model.parameters == expected - - -def test_set_code_in_cfg(): - content = dedent( - """\ - !!Information om k�rningen. - bdate 1961-01-01 - cdate 1962-01-01 - edate 1963-12-31 - substance N P - readobsid n - !!basinoutput - basinoutput variable prec temp cout ccIN ccON ccSP ccPP - basinoutput subbasin 609 - basinoutput meanperiod 1 - basinoutput decimals 7 - !!mapoutput - mapoutput variable cTNl cTPl prec ccTN ccTP - mapoutput meanperiod 5 - mapoutput decimals 3 - !!timeoutput - timeoutput variable prec temp crun - timeoutput meanperiod 3 - timeoutput decimals 2 - """ - ) - - actual = _set_code_in_cfg(content, "bdate", "2000-05-06") - - expected = dedent( - """\ - !!Information om k�rningen. - bdate 2000-05-06 - cdate 1962-01-01 - edate 1963-12-31 - substance N P - readobsid n - !!basinoutput - basinoutput variable prec temp cout ccIN ccON ccSP ccPP - basinoutput subbasin 609 - basinoutput meanperiod 1 - basinoutput decimals 7 - !!mapoutput - mapoutput variable cTNl cTPl prec ccTN ccTP - mapoutput meanperiod 5 - mapoutput decimals 3 - !!timeoutput - timeoutput variable prec temp crun - timeoutput meanperiod 3 - timeoutput decimals 2 - """ - ) - assert actual == expected - - -class TestWithForcingAndDefaults: - @pytest.fixture - def forcing(self, tmp_path): - forcing_dir = tmp_path / "forcing" - forcing_dir.mkdir() - pobs = forcing_dir / "Pobs.txt" - pobs.write_text( - dedent( - """\ - DATE 609 - 1986-01-02 0.6 - """ - ) - ) - return HypeForcing( - forcing="hype", - start_time="1986-01-02T00:00:00Z", - end_time="2018-01-02T00:00:00Z", - directory=str(forcing_dir), - Pobs=pobs.name, - ) - - @pytest.fixture - def model(self, parameter_set, forcing): - return Hype(parameter_set=parameter_set, forcing=forcing) - - @pytest.fixture - def model_with_setup(self, mocked_config, model: Hype): - with patch.object( - BmiClientApptainer, "__init__", return_value=None - ) as mocked_constructor, patch("datetime.datetime") as mocked_datetime: - mocked_datetime.now.return_value = datetime(2021, 1, 2, 3, 4, 5) - config_file, config_dir = model.setup() - return config_file, config_dir, mocked_constructor, model - - def test_setup_container(self, model_with_setup, tmp_path): - mocked_constructor = model_with_setup[2] - mocked_constructor.assert_called_once_with( - image="ewatercycle-hype-grpc4bmi_feb2021.sif", - work_dir=f"{tmp_path}/hype_20210102_030405", - input_dirs=[f"{tmp_path}/hype_testcase", f"{tmp_path}/forcing"], - timeout=300, - delay=0, - ) - - def test_setup_forcing_files(self, model_with_setup): - pobs = model_with_setup[3].forcing.directory / "Pobs.txt" - assert "DATE" in pobs.read_text() - - def test_setup_parameter_set_files(self, model_with_setup): - geodata = model_with_setup[3].parameter_set.directory / "GeoData.txt" - assert "subareaname" in geodata.read_text() - - def test_setup_config_file(self, model_with_setup): - config_file = model_with_setup[0] - expected = dedent( - """\ - !!Information om k�rningen. - bdate 1986-01-02 00:00:00 - cdate 1986-01-02 00:00:00 - edate 2018-01-02 00:00:00 - substance N P - readobsid n - !!basinoutput - basinoutput variable prec temp cout ccIN ccON ccSP ccPP - basinoutput subbasin 609 - basinoutput meanperiod 1 - basinoutput decimals 7 - !!mapoutput - mapoutput variable cTNl cTPl prec ccTN ccTP - mapoutput meanperiod 5 - mapoutput decimals 3 - !!timeoutput - timeoutput variable prec temp crun - timeoutput meanperiod 3 - timeoutput decimals 2 - resultdir ./ - """ - ) - assert Path(config_file).read_text() == expected - - def test_parameters(self, model): - expected = { - "start_time": "1986-01-02T00:00:00Z", - "end_time": "2018-01-02T00:00:00Z", - "crit_time": "1986-01-02T00:00:00Z", - }.items() - assert model.parameters == expected diff --git a/tests/plugins/lisflood/__init__.py b/tests/plugins/lisflood/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/tests/plugins/lisflood/conftest.py b/tests/plugins/lisflood/conftest.py deleted file mode 100644 index 62536a88..00000000 --- a/tests/plugins/lisflood/conftest.py +++ /dev/null @@ -1,10 +0,0 @@ -from pathlib import Path - -import pytest - -from ewatercycle.testing.fixtures import mocked_config, sample_shape - - -@pytest.fixture -def sample_lisvap_config(): - return str(Path(__file__).parent / "data" / "settings_lisvap.xml") diff --git a/tests/plugins/lisflood/data/settings_lisvap.xml b/tests/plugins/lisflood/data/settings_lisvap.xml deleted file mode 100644 index 8b23edc2..00000000 --- a/tests/plugins/lisflood/data/settings_lisvap.xml +++ /dev/null @@ -1,389 +0,0 @@ - - - - - - - - - ************************************************************** - TIME-RELATED CONSTANTS - ************************************************************** - - - - - Calendar day of 1st day in model run - - - - - - time step [seconds] ALWAYS USE 86400!! - - - - - - Date of first time step in simulation - - - - - - Date of last time step - - - - - - - - - - - - - - ************************************************************** - FILE PATHS - ************************************************************** - - - - - Output path - - - - - - Path to input base maps - - - - - - Path to input raw meteo maps - E:/lisflood_test/Lisvap/meteo/raster - - - - - - - - - - ************************************************************** - PREFIXES OF OUTPUT METEO VARIABLES - ************************************************************** - - - - - prefix E0 maps - - - - - - prefix ES0 maps - - - - - - prefix ET0 maps - - - - - - - - - - - - - - - - - - - - - - - - - - - - ************************************************************** - TIMESTEP RELATED PARAMETERS - ************************************************************** - - - - - calendar day number of 1st day in model run - e.g. 1st of January: 1; 1st of June 151 (or 152 in leap year) - - - - - - timestep [seconds] - - - - - - Number of first time step in simulation - - - - - - Number of last time step - - - - - - - - ************************************************************** - CONSTANTS - ************************************************************** - - - - - - Average solar radiation at top atmosphere [J/m2/s] (I.E.A. 1978) - - - - - - Stefan-Boltzmann constant [J/m2/K4/day] - - - - - - Atmosheric pressure at sea level [mbar] - - - - - - Correction constant in daylength formula [degrees] - - - - - - Albedo of bare soil surface (Supit et. al.) - - - - - - Albedo of water surface (Supit et. al.) - - - - - - Albedo of vegetation canopy (FAO,1998) - - - - - - Estimated value for surface roughness factor of bare soil (Supit et. al.) - - - - - - Estimated value for surface roughness factor of water surface (Supit et. al.) - - - - - - Estimated value for surface roughness factor of vegetation canopy (Supit et. al.) - - - - - - - - ************************************************************** - INPUT METEOROLOGICAL TIMESERIES AS MAPS - ************************************************************** - - - - - Maximum daily temperature [K] - - - - - - Minimum daily temperature [K] - - - - - - - Actual vapour pressure [mbar] - - - - - - Wind speed at 10 m from surface [m/s] - - - - - - rgd - calculated solar radiation [W/m2] - - - - - average daily temperature [C or K] - - - - - Instantaneous sea level pressure [Pa] - - - - - - - - - ************************************************************** - REPORTED OUTPUT MAPS - ************************************************************** - - - - - daily reference evaporation (free water) [mm/day] - - - - - - daily reference evaporation (soil) [mm/day] - - - - - - daily reference evapotranspiration (crop) [mm/day] - - - - - - - - ************************************************************** - REPORTED OUTPUT TIME SERIES - ************************************************************** - - - - - Average temperature [deg C] - - - - - - Potential reference evapotranspiration rate [mm/day] - - - - - - Potential evaporation rate of a free water surface [mm/day] - - - - - - Potential evaporation rate from a bare soil surface [mm/day] - - - - - - - - ************************************************************** - BASE INPUT MAPS - ************************************************************** - - - - - Clone map - - - - - - Digital elevation model [meters a.s.l.] - - - - - - Latitude [decimal degrees] - - - - - - - - diff --git a/tests/plugins/lisflood/test_forcing.py b/tests/plugins/lisflood/test_forcing.py deleted file mode 100644 index c9534809..00000000 --- a/tests/plugins/lisflood/test_forcing.py +++ /dev/null @@ -1,682 +0,0 @@ -from pathlib import Path -from textwrap import dedent -from unittest.mock import patch - -import pytest -import xarray as xr -from esmvalcore.experimental import Recipe -from esmvalcore.experimental.recipe_info import RecipeInfo -from esmvalcore.experimental.recipe_output import DataFile, RecipeOutput - -from ewatercycle.base.forcing import FORCING_YAML -from ewatercycle.plugins.lisflood.forcing import LisfloodForcing, build_lisflood_recipe -from ewatercycle.testing.helpers import reyamlify - - -def create_netcdf(var_name, filename): - ds = xr.DataArray( - data=[[1.0, 2.0], [3.0, 4.0]], - coords={ - "longitude": [19.35, 19.45], - "latitude": [-33.05, -33.15], - "time": "2014-09-06", - }, - dims=["longitude", "latitude"], - name=var_name, - ) - ds.to_netcdf(filename) - return filename - - -@pytest.fixture -def mock_recipe_run(monkeypatch, tmp_path): - """Overload the `run` method on esmvalcore Recipe's.""" - data = {} - - dummy_recipe_output = RecipeOutput( - { - "diagnostic/script": { - # TODO add lisvap input files once implemented, see issue #96 - create_netcdf("pr", tmp_path / "lisflood_pr.nc"): {}, - create_netcdf("tas", tmp_path / "lisflood_tas.nc"): {}, - create_netcdf("tasmax", tmp_path / "lisflood_tasmax.nc"): {}, - create_netcdf("tasmin", tmp_path / "lisflood_tasmin.nc"): {}, - create_netcdf("sfcWind", tmp_path / "lisflood_sfcWind.nc"): {}, - create_netcdf("rsds", tmp_path / "lisflood_rsds.nc"): {}, - create_netcdf("e", tmp_path / "lisflood_e.nc"): {}, - } - }, - info=RecipeInfo({"diagnostics": {"diagnostic": {}}}, "script"), - ) - - def mock_run(self, session=None): - """Store recipe for inspection and return dummy output.""" - nonlocal data - data["session"] = session - return dummy_recipe_output - - monkeypatch.setattr(Recipe, "run", mock_run) - return data - - -@pytest.fixture -def sample_target_grid(): - # Based on extents of sample_shape and offset of mask - return dict( - start_longitude=4.05, - end_longitude=11.95, - step_longitude=0.1, - start_latitude=46.25, - end_latitude=52.25, - step_latitude=0.1, - ) - - -class TestGenerateForcingWithoutLisvap: - @pytest.fixture - def forcing(self, mock_recipe_run, sample_shape, sample_target_grid): - return LisfloodForcing.generate( - dataset="ERA5", - start_time="1989-01-02T00:00:00Z", - end_time="1999-01-02T00:00:00Z", - shape=sample_shape, - target_grid=sample_target_grid, - ) - - def test_result(self, forcing, tmp_path, sample_shape): - expected = LisfloodForcing( - directory=str(tmp_path), - start_time="1989-01-02T00:00:00Z", - end_time="1999-01-02T00:00:00Z", - shape=str(sample_shape), - PrefixPrecipitation="lisflood_pr.nc", - PrefixTavg="lisflood_tas.nc", - ) - assert forcing == expected - - def test_saved_yaml_content(self, forcing, tmp_path): - saved_forcing = (tmp_path / FORCING_YAML).read_text() - # shape should is not included in the yaml file - expected = dedent( - """\ - start_time: '1989-01-02T00:00:00Z' - end_time: '1999-01-02T00:00:00Z' - PrefixPrecipitation: lisflood_pr.nc - PrefixTavg: lisflood_tas.nc - PrefixE0: e0.nc - PrefixES0: es0.nc - PrefixET0: et0.nc - """ - ) - - assert saved_forcing == expected - - def test_saved_yaml(self, forcing, tmp_path): - saved_forcing = LisfloodForcing.load(tmp_path) - # shape should is not included in the yaml file - forcing.shape = None - - assert forcing == saved_forcing - - -def create_mask_netcdf(filename): - ds = xr.DataArray( - data=[ - [False, True, True, True, True], - [False, False, True, True, True], - [False, False, True, False, True], - [False, False, False, False, False], - [False, False, False, False, False], - ], - coords={ - "longitude": [19.05, 19.15, 19.25, 19.35, 19.45], - "latitude": [-33.05, -33.15, -33.25, -33.35, -33.45], - }, - dims=["longitude", "latitude"], - ) - ds.to_netcdf(filename) - return DataFile(filename) - - -class TestGenerateForcingWithLisvap: - def test_result( - self, - tmp_path, - sample_shape, - sample_lisvap_config, - sample_target_grid, - mock_recipe_run, - mocked_config, - ): - parameterset_dir = tmp_path / "myparameters" - mask_map = tmp_path / "mymask.nc" - create_mask_netcdf(mask_map) - - with patch("subprocess.Popen") as mocked_popen: - - def write_mocked_lisvap_output(*_args, **_kwargs): - create_netcdf( - "e0", tmp_path / "reindexed" / "lisflood_ERA5_Rhine_e0_1989_1999.nc" - ) - create_netcdf( - "es0", - tmp_path / "reindexed" / "lisflood_ERA5_Rhine_es0_1989_1999.nc", - ) - create_netcdf( - "et0", - tmp_path / "reindexed" / "lisflood_ERA5_Rhine_et0_1989_1999.nc", - ) - return 0 - - mocked_popen.return_value.communicate.return_value = ("output", "error") - mocked_popen.return_value.wait.side_effect = write_mocked_lisvap_output - - forcing = LisfloodForcing.generate( - dataset="ERA5", - start_time="1989-01-02T00:00:00Z", - end_time="1999-01-02T00:00:00Z", - shape=sample_shape, - target_grid=sample_target_grid, - run_lisvap={ - "lisvap_config": sample_lisvap_config, - "mask_map": str(mask_map), - "version": "20.10", - "parameterset_dir": str(parameterset_dir), - }, - ) - - expected = LisfloodForcing( - directory=str(tmp_path / "reindexed"), - start_time="1989-01-02T00:00:00Z", - end_time="1999-01-02T00:00:00Z", - shape=str(sample_shape), - PrefixPrecipitation="lisflood_pr.nc", - PrefixTavg="lisflood_tas.nc", - PrefixE0="lisflood_ERA5_Rhine_e0_1989_1999.nc", - PrefixES0="lisflood_ERA5_Rhine_es0_1989_1999.nc", - PrefixET0="lisflood_ERA5_Rhine_et0_1989_1999.nc", - ) - assert forcing == expected - - -def test_generate_with_directory( - mock_recipe_run, sample_shape, tmp_path, sample_target_grid -): - forcing_dir = tmp_path / "myforcing" - LisfloodForcing.generate( - dataset="ERA5", - start_time="1989-01-02T00:00:00Z", - end_time="1999-01-02T00:00:00Z", - shape=sample_shape, - target_grid=sample_target_grid, - directory=forcing_dir, - ) - - assert mock_recipe_run["session"].session_dir == forcing_dir - - -def test_load_legacy_forcing(tmp_path): - (tmp_path / FORCING_YAML).write_text( - """\ - !LisfloodForcing - start_time: '1989-01-02T00:00:00Z' - end_time: '1999-01-02T00:00:00Z' - PrefixPrecipitation: pr.nc - PrefixTavg: tas.nc - PrefixE0: e0.nc - PrefixES0: es0.nc - PrefixET0: et0.nc - """ - ) - - expected = LisfloodForcing( - start_time="1989-01-02T00:00:00Z", - end_time="1999-01-02T00:00:00Z", - directory=tmp_path, - ) - - result = LisfloodForcing.load(tmp_path) - - assert result == expected - - -def test_build_lisflood_recipe_with_targetgrid(sample_shape: str): - recipe = build_lisflood_recipe( - dataset="ERA5", - start_year=1990, - end_year=2001, - shape=Path(sample_shape), - target_grid={ - "start_longitude": 3, - "start_latitude": 46, - "end_longitude": 12, - "end_latitude": 55, - "step_longitude": 0.1, - "step_latitude": 0.1, - }, - ) - recipe_as_string = recipe.to_yaml() - - # Should look similar to - # https://github.com/ESMValGroup/ESMValTool/blob/main/esmvaltool/recipes/hydrology/recipe_lisflood.yml - expected = dedent( - f"""\ -documentation: - title: Lisflood forcing recipe - description: Lisflood forcing recipe - authors: - - unmaintained - projects: - - ewatercycle -datasets: -- dataset: ERA5 - project: OBS6 - tier: 3 - type: reanaly - version: 1 -preprocessors: - spatial: - regrid: - scheme: linear - target_grid: - start_longitude: 3 - start_latitude: 46 - end_longitude: 12 - end_latitude: 55 - step_longitude: 0.1 - step_latitude: 0.1 - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: false - pr: - regrid: - scheme: linear - target_grid: - start_longitude: 3 - start_latitude: 46 - end_longitude: 12 - end_latitude: 55 - step_longitude: 0.1 - step_latitude: 0.1 - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: false - convert_units: - units: kg m-2 d-1 - tas: - regrid: - scheme: linear - target_grid: - start_longitude: 3 - start_latitude: 46 - end_longitude: 12 - end_latitude: 55 - step_longitude: 0.1 - step_latitude: 0.1 - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: false - convert_units: - units: degC - tasmin: - regrid: - scheme: linear - target_grid: - start_longitude: 3 - start_latitude: 46 - end_longitude: 12 - end_latitude: 55 - step_longitude: 0.1 - step_latitude: 0.1 - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: false - convert_units: - units: degC - tasmax: - regrid: - scheme: linear - target_grid: - start_longitude: 3 - start_latitude: 46 - end_longitude: 12 - end_latitude: 55 - step_longitude: 0.1 - step_latitude: 0.1 - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: false - convert_units: - units: degC - tdps: - regrid: - scheme: linear - target_grid: - start_longitude: 3 - start_latitude: 46 - end_longitude: 12 - end_latitude: 55 - step_longitude: 0.1 - step_latitude: 0.1 - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: false - convert_units: - units: degC - uas: - regrid: - scheme: linear - target_grid: - start_longitude: 3 - start_latitude: 46 - end_longitude: 12 - end_latitude: 55 - step_longitude: 0.1 - step_latitude: 0.1 - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: false - vas: - regrid: - scheme: linear - target_grid: - start_longitude: 3 - start_latitude: 46 - end_longitude: 12 - end_latitude: 55 - step_longitude: 0.1 - step_latitude: 0.1 - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: false - rsds: - regrid: - scheme: linear - target_grid: - start_longitude: 3 - start_latitude: 46 - end_longitude: 12 - end_latitude: 55 - step_longitude: 0.1 - step_latitude: 0.1 - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: false - convert_units: - units: J m-2 day-1 -diagnostics: - diagnostic: - scripts: - script: - script: hydrology/lisflood.py - catchment: Rhine - variables: - pr: - start_year: 1990 - end_year: 2001 - mip: day - preprocessor: pr - tas: - start_year: 1990 - end_year: 2001 - mip: day - preprocessor: tas - tasmin: - start_year: 1990 - end_year: 2001 - mip: day - preprocessor: tasmin - tasmax: - start_year: 1990 - end_year: 2001 - mip: day - preprocessor: tasmax - tdps: - start_year: 1990 - end_year: 2001 - mip: Eday - preprocessor: tdps - uas: - start_year: 1990 - end_year: 2001 - mip: day - preprocessor: uas - vas: - start_year: 1990 - end_year: 2001 - mip: day - preprocessor: vas - rsds: - start_year: 1990 - end_year: 2001 - mip: day - preprocessor: rsds - """ - ) - assert recipe_as_string == reyamlify(expected) - - -def test_build_lisflood_recipe_without_targetgrid(sample_shape: str): - recipe = build_lisflood_recipe( - dataset="ERA5", - start_year=1990, - end_year=2001, - shape=Path(sample_shape), - ) - recipe_as_string = recipe.to_yaml() - - # Should look similar to - # https://github.com/ESMValGroup/ESMValTool/blob/main/esmvaltool/recipes/hydrology/recipe_lisflood.yml - expected = dedent( - f"""\ -documentation: - title: Lisflood forcing recipe - description: Lisflood forcing recipe - authors: - - unmaintained - projects: - - ewatercycle -datasets: -- dataset: ERA5 - project: OBS6 - tier: 3 - type: reanaly - version: 1 -preprocessors: - spatial: - regrid: - scheme: linear - target_grid: - start_longitude: 4.05 - start_latitude: 46.25 - end_longitude: 11.95 - end_latitude: 52.25 - step_longitude: 0.1 - step_latitude: 0.1 - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: false - pr: - regrid: - scheme: linear - target_grid: - start_longitude: 4.05 - start_latitude: 46.25 - end_longitude: 11.95 - end_latitude: 52.25 - step_longitude: 0.1 - step_latitude: 0.1 - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: false - convert_units: - units: kg m-2 d-1 - tas: - regrid: - scheme: linear - target_grid: - start_longitude: 4.05 - start_latitude: 46.25 - end_longitude: 11.95 - end_latitude: 52.25 - step_longitude: 0.1 - step_latitude: 0.1 - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: false - convert_units: - units: degC - tasmin: - regrid: - scheme: linear - target_grid: - start_longitude: 4.05 - start_latitude: 46.25 - end_longitude: 11.95 - end_latitude: 52.25 - step_longitude: 0.1 - step_latitude: 0.1 - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: false - convert_units: - units: degC - tasmax: - regrid: - scheme: linear - target_grid: - start_longitude: 4.05 - start_latitude: 46.25 - end_longitude: 11.95 - end_latitude: 52.25 - step_longitude: 0.1 - step_latitude: 0.1 - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: false - convert_units: - units: degC - tdps: - regrid: - scheme: linear - target_grid: - start_longitude: 4.05 - start_latitude: 46.25 - end_longitude: 11.95 - end_latitude: 52.25 - step_longitude: 0.1 - step_latitude: 0.1 - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: false - convert_units: - units: degC - uas: - regrid: - scheme: linear - target_grid: - start_longitude: 4.05 - start_latitude: 46.25 - end_longitude: 11.95 - end_latitude: 52.25 - step_longitude: 0.1 - step_latitude: 0.1 - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: false - vas: - regrid: - scheme: linear - target_grid: - start_longitude: 4.05 - start_latitude: 46.25 - end_longitude: 11.95 - end_latitude: 52.25 - step_longitude: 0.1 - step_latitude: 0.1 - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: false - rsds: - regrid: - scheme: linear - target_grid: - start_longitude: 4.05 - start_latitude: 46.25 - end_longitude: 11.95 - end_latitude: 52.25 - step_longitude: 0.1 - step_latitude: 0.1 - extract_shape: - shapefile: {sample_shape} - crop: true - decomposed: false - convert_units: - units: J m-2 day-1 -diagnostics: - diagnostic: - scripts: - script: - script: hydrology/lisflood.py - catchment: Rhine - variables: - pr: - start_year: 1990 - end_year: 2001 - mip: day - preprocessor: pr - tas: - start_year: 1990 - end_year: 2001 - mip: day - preprocessor: tas - tasmin: - start_year: 1990 - end_year: 2001 - mip: day - preprocessor: tasmin - tasmax: - start_year: 1990 - end_year: 2001 - mip: day - preprocessor: tasmax - tdps: - start_year: 1990 - end_year: 2001 - mip: Eday - preprocessor: tdps - uas: - start_year: 1990 - end_year: 2001 - mip: day - preprocessor: uas - vas: - start_year: 1990 - end_year: 2001 - mip: day - preprocessor: vas - rsds: - start_year: 1990 - end_year: 2001 - mip: day - preprocessor: rsds - """ - ) - assert recipe_as_string == reyamlify(expected) diff --git a/tests/plugins/lisflood/test_lisvap.py b/tests/plugins/lisflood/test_lisvap.py deleted file mode 100644 index fa3210a8..00000000 --- a/tests/plugins/lisflood/test_lisvap.py +++ /dev/null @@ -1,142 +0,0 @@ -import os -import subprocess -from unittest.mock import patch - -from ewatercycle import CFG -from ewatercycle.plugins.lisflood.config import XmlConfig -from ewatercycle.plugins.lisflood.lisvap import create_lisvap_config, lisvap - - -def find_values_in_xml(tree, name): - values = [] - for textvar in tree.iter("textvar"): - textvar_name = textvar.attrib["name"] - if textvar_name == name: - values.append(textvar.get("value")) - return set(values) - - -def test_create_lisvap_config(tmp_path, sample_lisvap_config): - forcing_files = { - "pr": "lisflood_ERA5_Rhine_pr_1989_1999.nc", - "e": "lisflood_ERA5_Rhine_e_1989_1999.nc", - "tas": "lisflood_ERA5_Rhine_tas_1989_1999.nc", - "rsds": "lisflood_ERA5_Rhine_rsds_1989_1999.nc", - "sfcWind": "lisflood_ERA5_Rhine_sfcWind_1989_1999.nc", - "tasmax": "lisflood_ERA5_Rhine_tasmax_1989_1999.nc", - "tasmin": "lisflood_ERA5_Rhine_tasmin_1989_1999.nc", - "e0": "lisflood_ERA5_Rhine_e0_1989_1999.nc", - "es0": "lisflood_ERA5_Rhine_es0_1989_1999.nc", - "et0": "lisflood_ERA5_Rhine_et0_1989_1999.nc", - } - config_file = create_lisvap_config( - str(tmp_path), - str(tmp_path), - "ERA5", - sample_lisvap_config, - str(tmp_path / "MaskMap_Rhine.nc"), - start_time="1989-01-02T00:00:00Z", - end_time="1999-01-02T00:00:00Z", - forcing_files=forcing_files, - ) - - # Check the name of new config file - expected_config_file = str(tmp_path / "lisvap_ERA5_setting.xml") - assert config_file == expected_config_file - - # Check content config file - _cfg = XmlConfig(str(config_file)) - assert find_values_in_xml(_cfg.config, "CalendarDayStart") == {"02/01/1989 00:00"} - assert find_values_in_xml(_cfg.config, "StepStart") == {"02/01/1989 00:00"} - assert find_values_in_xml(_cfg.config, "StepEnd") == {"02/01/1999 00:00"} - assert find_values_in_xml(_cfg.config, "PathOut") == {str(tmp_path)} - assert find_values_in_xml(_cfg.config, "PathBaseMapsIn") == { - f"{tmp_path}/maps_netcdf" - } - assert find_values_in_xml(_cfg.config, "MaskMap") == {f"{tmp_path}/MaskMap_Rhine"} - assert find_values_in_xml(_cfg.config, "PathMeteoIn") == {str(tmp_path)} - assert find_values_in_xml(_cfg.config, "PrefixE0") == { - "lisflood_ERA5_Rhine_e0_1989_1999" - } - assert find_values_in_xml(_cfg.config, "TAvgMaps") == { - "$(PathMeteoIn)/lisflood_ERA5_Rhine_tas_1989_1999" - } - - -def prep_lisvap_input(tmp_path): - CFG.parameterset_dir.mkdir(exist_ok=True) - forcing_dir = tmp_path / "forc" - forcing_dir.mkdir() - mask_map = CFG.parameterset_dir / "mask.nc" - mask_map.write_text("Some file content") - config_file = tmp_path / "lisvap.xml" - config_file.write_text("Some file content") - return config_file, forcing_dir, mask_map - - -@patch("subprocess.Popen") -def test_lisvap_apptainer(mocked_popen, tmp_path, mocked_config): - config_file, forcing_dir, mask_map = prep_lisvap_input(tmp_path) - mocked_popen.return_value.communicate.return_value = ("output", "error") - mocked_popen.return_value.wait.return_value = 0 - - exit_code, stdout, stderr = lisvap( - str(CFG.parameterset_dir), - str(forcing_dir), - str(mask_map), - str(config_file), - ) - - expected = [ - "apptainer", - "exec", - "--bind", - f"{tmp_path}/psr:{tmp_path}/psr,{tmp_path}/psr/mask.nc:{tmp_path}/psr/mask.nc,{tmp_path}/forc:{tmp_path}/forc", - "--pwd", - f"{tmp_path}/forc", - f"{tmp_path}/ewatercycle-lisflood-grpc4bmi_20.10.sif", - "python3", - "/opt/Lisvap/src/lisvap1.py", - f"{tmp_path}/lisvap.xml", - ] - mocked_popen.assert_called_with( - expected, preexec_fn=os.setsid, stdout=subprocess.PIPE, stderr=subprocess.PIPE - ) - assert exit_code == 0 - assert stderr == "error" - assert stdout == "output" - - -@patch("subprocess.Popen") -def test_lisvap_docker(mocked_popen, tmp_path, mocked_config): - CFG.container_engine = "docker" - config_file, forcing_dir, mask_map = prep_lisvap_input(tmp_path) - mocked_popen.return_value.communicate.return_value = ("output", "error") - mocked_popen.return_value.wait.return_value = 0 - - exit_code, stdout, stderr = lisvap( - str(CFG.parameterset_dir), - str(forcing_dir), - str(mask_map), - str(config_file), - ) - - expected = [ - "docker", - "run", - "-ti", - "--volume", - f"{tmp_path}/psr:{tmp_path}/psr,{tmp_path}/psr/mask.nc:{tmp_path}/psr/mask.nc,{tmp_path}/forc:{tmp_path}/forc", - "--pwd", - f"{tmp_path}/forc", - "ewatercycle/lisflood-grpc4bmi:20.10", - "python3", - "/opt/Lisvap/src/lisvap1.py", - f"{tmp_path}/lisvap.xml", - ] - mocked_popen.assert_called_with( - expected, preexec_fn=os.setsid, stdout=subprocess.PIPE, stderr=subprocess.PIPE - ) - assert exit_code == 0 - assert stderr == "error" - assert stdout == "output" diff --git a/tests/plugins/lisflood/test_model.py b/tests/plugins/lisflood/test_model.py deleted file mode 100644 index 55556e25..00000000 --- a/tests/plugins/lisflood/test_model.py +++ /dev/null @@ -1,342 +0,0 @@ -import logging -import shutil -from datetime import datetime -from pathlib import Path -from unittest.mock import patch - -import numpy as np -import pytest -from grpc4bmi.bmi_client_apptainer import BmiClientApptainer -from grpc4bmi.bmi_optionaldest import OptionalDestBmi -from numpy.testing import assert_array_equal -from pytest import TempPathFactory - -from ewatercycle import CFG -from ewatercycle.base.parameter_set import ParameterSet -from ewatercycle.forcing import sources -from ewatercycle.parameter_sets import example_parameter_sets -from ewatercycle.plugins.lisflood.config import XmlConfig -from ewatercycle.plugins.lisflood.forcing import LisfloodForcing -from ewatercycle.plugins.lisflood.model import Lisflood -from ewatercycle.testing.fake_models import FailingModel - - -@pytest.fixture(scope="session") -def mocked_config(tmp_path_factory: TempPathFactory): - tmp_path = tmp_path_factory.mktemp("output_dir") - CFG.output_dir = tmp_path - CFG.container_engine = "apptainer" - CFG.apptainer_dir = tmp_path - CFG.parameter_sets = {} - CFG.parameterset_dir = tmp_path - - -def find_values_in_xml(tree, name): - values = [] - for textvar in tree.iter("textvar"): - textvar_name = textvar.attrib["name"] - if textvar_name == name: - values.append(textvar.get("value")) - return set(values) - - -# TODO the download can take a long time (> 4 minutes) -# as it downloads over 500Mb -# we could make it quicker by creating -# a fake parameter set and forcing, -# but then how do we make sure the fakes are correct? -@pytest.mark.skip("Too slow") -class TestLFlatlonUseCase: - @pytest.fixture(scope="session") - def parameterset(self, mocked_config): - example_parameter_set = example_parameter_sets()["lisflood_fraser"] - example_parameter_set.download(CFG.parameterset_dir) - # example_parameter_set.to_config() - return example_parameter_set - - @pytest.fixture - def generate_forcing(self, tmp_path, parameterset: ParameterSet): - forcing_dir = tmp_path / "forcing" - forcing_dir.mkdir() - meteo_dir = Path(parameterset.directory) / "meteo" - # Create the case where forcing data are not part of parameter_set - for file in meteo_dir.glob("*.nc"): - shutil.copy(file, forcing_dir / f"my{file.stem}.nc") - - return LisfloodForcing( - forcing="lisflood", - directory=str(forcing_dir), - start_time="1986-01-02T00:00:00Z", - end_time="2018-01-02T00:00:00Z", - PrefixPrecipitation="mytp.nc", - PrefixTavg="myta.nc", - PrefixE0="mye0.nc", - ) - - @pytest.fixture - def model(self, parameterset: ParameterSet, generate_forcing): - forcing = generate_forcing - m = Lisflood(parameter_set=parameterset, forcing=forcing) - yield m - - def test_default_parameters(self, model: Lisflood): - expected_parameters = { - "IrrigationEfficiency": "0.75", - "MaskMap": "$(PathMaps)/masksmall.map", - "start_time": "1986-01-02T00:00:00Z", - "end_time": "2018-01-02T00:00:00Z", - }.items() - assert model.parameters == expected_parameters - - @pytest.fixture - def model_with_setup(self, mocked_config, model: Lisflood): - with patch.object( - BmiClientApptainer, "__init__", return_value=None - ) as mocked_constructor, patch("datetime.datetime") as mocked_datetime: - mocked_datetime.now.return_value = datetime(2021, 1, 2, 3, 4, 5) - config_file, config_dir = model.setup( - IrrigationEfficiency="0.8", - ) - return config_file, config_dir, mocked_constructor - - def test_setup(self, model_with_setup, tmp_path): - config_file, config_dir, mocked_constructor = model_with_setup - - # Check setup returns - expected_cfg_dir = CFG.output_dir / "lisflood_20210102_030405" - assert config_dir == str(expected_cfg_dir) - assert config_file == str(expected_cfg_dir / "lisflood_setting.xml") - - # Check container started - mocked_constructor.assert_called_once_with( - image="ewatercycle-lisflood-grpc4bmi_20.10.sif", - work_dir=f"{CFG.output_dir}/lisflood_20210102_030405", - input_dirs=[ - f"{CFG.parameterset_dir}/lisflood_fraser", - f"{tmp_path}/forcing", - ], - timeout=300, - delay=0, - ) - - # Check content config file - _cfg = XmlConfig(str(config_file)) - assert find_values_in_xml(_cfg.config, "CalendarDayStart") == { - "02/01/1986 00:00" - } - assert find_values_in_xml(_cfg.config, "StepStart") == {"1"} - assert find_values_in_xml(_cfg.config, "StepEnd") == {"11688"} - assert find_values_in_xml(_cfg.config, "PathMeteo") == {f"{tmp_path}/forcing"} - assert find_values_in_xml(_cfg.config, "PathOut") == {str(config_dir)} - assert find_values_in_xml(_cfg.config, "IrrigationEfficiency") == {"0.8"} - assert find_values_in_xml(_cfg.config, "MaskMap") == { - "$(PathMaps)/masksmall.map", - "$(MaskMap)", - } - assert find_values_in_xml(_cfg.config, "PrefixPrecipitation") == {"mytp"} - assert find_values_in_xml(_cfg.config, "PrefixTavg") == {"myta"} - assert find_values_in_xml(_cfg.config, "PrefixE0") == {"mye0"} - assert find_values_in_xml(_cfg.config, "PrefixES0") == {"es0"} - assert find_values_in_xml(_cfg.config, "PrefixET0") == {"et0"} - - class TestGetValueAtCoords: - def test_get_value_at_coords_single(self, caplog, model: Lisflood): - model._bmi = OptionalDestBmi(MockedBmi()) - - with caplog.at_level(logging.DEBUG): - result = model.get_value_at_coords( - "Discharge", lon=[-124.35], lat=[52.93] - ) - - msg = ( - "Requested point was lon: -124.35, lat: 52.93;", - "closest grid point is -124.35, 52.95.", - ) - - assert msg[0] in caplog.text - assert msg[1] in caplog.text - assert result == np.array([1.0]) - assert model.bmi.origin.indices == [311] - - def test_get_value_at_coords_multiple(self, model: Lisflood): - model._bmi = OptionalDestBmi(MockedBmi()) - model.get_value_at_coords( - "Discharge", - lon=[-124.45, -124.35, -121.45], - lat=[53.95, 52.93, 52.65], - ) - assert_array_equal(model.bmi.origin.indices, [0, 311, 433]) - - def test_get_value_at_coords_faraway(self, model: Lisflood): - model._bmi = OptionalDestBmi(MockedBmi()) - with pytest.raises(ValueError) as excinfo: - model.get_value_at_coords("Discharge", lon=[0.0], lat=[0.0]) - msg = str(excinfo.value) - assert "outside model grid." in msg - - class TestCustomMaskMap: - @pytest.fixture - def model(self, tmp_path, parameterset: ParameterSet, generate_forcing): - # Create the case where mask map is not part of parameter_set - mask_dir = tmp_path / "custommask" - mask_dir.mkdir() - mask_file_in_ps = parameterset.directory / "maps/mask.map" - shutil.copy(mask_file_in_ps, mask_dir / "mask.map") - forcing = generate_forcing - m = Lisflood(parameter_set=parameterset, forcing=forcing) - yield m - - @pytest.fixture - def model_with_setup(self, tmp_path, mocked_config, model: Lisflood): - with patch.object( - BmiClientApptainer, "__init__", return_value=None - ) as mocked_constructor, patch("datetime.datetime") as mocked_datetime: - mocked_datetime.now.return_value = datetime(2021, 1, 2, 3, 4, 5) - config_file, config_dir = model.setup( - MaskMap=str(tmp_path / "custommask/mask.map") - ) - return config_file, config_dir, mocked_constructor, model - - def test_setup(self, model_with_setup, tmp_path): - config_file, config_dir, mocked_constructor, _ = model_with_setup - - # Check setup returns - expected_cfg_dir = CFG.output_dir / "lisflood_20210102_030405" - assert config_dir == str(expected_cfg_dir) - assert config_file == str(expected_cfg_dir / "lisflood_setting.xml") - - # Check container started - mocked_constructor.assert_called_once_with( - image="ewatercycle-lisflood-grpc4bmi_20.10.sif", - work_dir=f"{CFG.output_dir}/lisflood_20210102_030405", - input_dirs=[ - f"{tmp_path}/custommask", - f"{CFG.parameterset_dir}/lisflood_fraser", - f"{tmp_path}/forcing", - ], - timeout=300, - delay=0, - ) - - # Check content config file - _cfg = XmlConfig(str(config_file)) - assert find_values_in_xml(_cfg.config, "CalendarDayStart") == { - "02/01/1986 00:00" - } - assert find_values_in_xml(_cfg.config, "StepStart") == {"1"} - assert find_values_in_xml(_cfg.config, "StepEnd") == {"11688"} - assert find_values_in_xml(_cfg.config, "PathMeteo") == { - f"{tmp_path}/forcing" - } - assert find_values_in_xml(_cfg.config, "PathOut") == {str(config_dir)} - assert find_values_in_xml(_cfg.config, "IrrigationEfficiency") == { - "0.75", - "$(IrrigationEfficiency)", - } - assert find_values_in_xml(_cfg.config, "MaskMap") == { - f"{tmp_path}/custommask/mask" - } - assert find_values_in_xml(_cfg.config, "PrefixPrecipitation") == {"mytp"} - assert find_values_in_xml(_cfg.config, "PrefixTavg") == {"myta"} - assert find_values_in_xml(_cfg.config, "PrefixE0") == {"mye0"} - assert find_values_in_xml(_cfg.config, "PrefixES0") == {"es0"} - assert find_values_in_xml(_cfg.config, "PrefixET0") == {"et0"} - - @pytest.mark.skip(reason="Doesn't play nicely with new model API.") - def test_parameters_after_setup(self, model_with_setup, tmp_path): - expected_parameters = { - "IrrigationEfficiency": "0.75", - "MaskMap": f"{tmp_path}/custommask/mask", - "start_time": "1986-01-02T00:00:00Z", - "end_time": "2018-01-02T00:00:00Z", - }.items() - assert model_with_setup[3].parameters == expected_parameters - - -class MockedBmi(FailingModel): - """Mimic a real use case with realistic shape and abitrary high precision.""" - - def get_var_grid(self, name): - return 0 - - def get_grid_shape(self, grid_id, dest): - return 14, 31 # shape returns (len(y), len(x)) - - def get_grid_x(self, grid_id, dest): - return np.array( - [ - -124.450000000003, - -124.350000000003, - -124.250000000003, - -124.150000000003, - -124.050000000003, - -123.950000000003, - -123.850000000003, - -123.750000000003, - -123.650000000003, - -123.550000000003, - -123.450000000003, - -123.350000000003, - -123.250000000003, - -123.150000000003, - -123.050000000003, - -122.950000000003, - -122.850000000003, - -122.750000000003, - -122.650000000003, - -122.550000000003, - -122.450000000003, - -122.350000000003, - -122.250000000003, - -122.150000000003, - -122.050000000003, - -121.950000000003, - -121.850000000003, - -121.750000000003, - -121.650000000003, - -121.550000000003, - -121.450000000003, - ] - ) - - def get_grid_y(self, grid_id, dest): - return np.array( - [ - 53.950000000002, - 53.8500000000021, - 53.7500000000021, - 53.6500000000021, - 53.5500000000021, - 53.4500000000021, - 53.3500000000021, - 53.2500000000021, - 53.1500000000021, - 53.0500000000021, - 52.9500000000021, - 52.8500000000021, - 52.7500000000021, - 52.6500000000021, - ] - ) - - def get_grid_spacing(self, grid_id): - return 0.1, 0.1 - - def get_value_at_indices(self, name, dest, indices): - self.indices = indices - return np.array([1.0]) - - def get_var_type(self, name): - return "float64" - - def get_var_itemsize(self, name): - return np.float64().size - - def get_var_nbytes(self, name): - return np.float64().size * 14 * 31 - - def get_grid_rank(self, grid): - return 2 - - def get_grid_type(self, grid): - return "rectilinear" diff --git a/tests/plugins/marrmot/__init__.py b/tests/plugins/marrmot/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/tests/plugins/marrmot/conftest.py b/tests/plugins/marrmot/conftest.py deleted file mode 100644 index 14050522..00000000 --- a/tests/plugins/marrmot/conftest.py +++ /dev/null @@ -1,14 +0,0 @@ -from pathlib import Path - -import pytest - -from ewatercycle.testing.fixtures import mocked_config, sample_shape - - -@pytest.fixture -def sample_marrmot_forcing_file(): - # Downloaded from - # https://github.com/wknoben/MARRMoT/blob/master/BMI/Config/BMI_testcase_m01_BuffaloRiver_TN_USA.mat - return str( - Path(__file__).parent / "data" / "BMI_testcase_m01_BuffaloRiver_TN_USA.mat" - ) diff --git 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zt+~~X9`ebAIuN-}V6aD8e$Q?}1N;LY%YsO5RFFiuH*ja6+Qdr8RfKCyvBDo$@GBx8 z*V1-I_Prt*@xjSKMai`RS;D(hbt-!8=YWKwN^m-+n*3D@VZ}8@33PzzxZGoX z+IY3RV#FPgjVRZ}r&On6cm%6kX6T(p(KCn=Y0Uyi2uvQ!Gg-QDx8{feSMS+z-1C{P zstGGi%215#k~od$a1eSYk?EJ^tr+ET;TKhlX5dZ<0?(elFWPQisnGjjVN_xyMps@1 zd$8X5&Cc=XJok7?(Zy^sG$9nZXXkNP`Ij|G`_~QQfBZ{N|MD+U zID&yR_OW}MQI<6Nj{pym;ri}|p|*}l3GF-zQ+1^UoUFQvhN$SZDcOZu{)Ji&K@f!j z4ISvWfl2!BSw8=CISD#I`JuO^^oe(*^`s@@D(+JbM)m-_Yp6PYL+Ss8?49iGFO73+ z5_>2BRYvMUEI_pQ@QAp9H01zRmPU&(6sasDr<4VtW-9}4tV7m&QEMBe;H#gnzV5!| z%PJ{vpczL2;A0Arej68^@3z3LTKqPaYw@kE#5fW|ES^ot4Vy zHzfae9P&RqxIy43I!`CgO&(9Sv4Qz>E str: - return "mocked" - - def initialize(self, config_file): - pass - - def get_var_grid(self, name): - return 1 - - def get_grid_shape(self, grid_id, dest): - return 3, 2 - - def get_grid_y(self, grid_id, dest): - return np.array([45.0, 46.0, 47.0]) - - def get_grid_x(self, grid_id, dest): - return np.array([5.0, 6.0]) - - def get_grid_spacing(self, grid_id): - return 1.0, 1.0 - - def get_value_at_indices(self, name, dest, indices): - self.indices = indices - return np.array([1.0]) - - def get_var_type(self, name): - return "float64" - - def get_var_itemsize(self, name): - return np.float64().size - - def get_var_nbytes(self, name): - return np.float64().size * 3 * 2 - - def get_grid_rank(self, grid): - return 2 - - def get_grid_type(self, grid): - return "rectilinear" - - -@pytest.fixture -def mocked_config(tmp_path: Path): - CFG.output_dir = tmp_path - CFG.container_engine = "apptainer" - CFG.apptainer_dir = tmp_path - CFG.parameter_sets = {} - parameterset_dir = tmp_path / "wflow_testcase" - parameterset_dir.mkdir() - CFG.parameterset_dir = parameterset_dir - - -@pytest.fixture -def parameter_set(tmp_path, mocked_config): - """Fake parameter set for tests.""" - directory = tmp_path / "wflow_testcase" - config = directory / "wflow_sbm_nc.ini" - # Trimmed down config from - # https://github.com/openstreams/wflow/blob/master/examples/wflow_rhine_sbm_nc/wflow_sbm_NC.ini - config_body = dedent( - """[inputmapstacks] - Precipitation = /inmaps/P - EvapoTranspiration = /inmaps/PET - Temperature = /inmaps/TEMP - Inflow = /inmaps/IF - - [run] - starttime=1991-02-01 00:00:00 - endtime=1991-03-01 00:00:00 - timestepsecs = 86400 - - [framework] - netcdfinput= inmaps.nc - """ - ) - config.write_text(config_body) - return ParameterSet( - name="wflow_testcase", - directory=directory, - config=config, - target_model="wflow", - ) - - -@pytest.fixture -def model(parameter_set): - """`Model with fake parameterset for tests.""" - return Wflow(version="2020.1.1", parameter_set=parameter_set) - - -@pytest.fixture -def initialized_model(model): - """Model with fake parameterset and fake BMI instance.""" - model._bmi = OptionalDestBmi(MockedBmi()) - return model - - -def test_constructor_adds_api_riverrunoff(parameter_set, caplog): - with caplog.at_level(logging.WARNING): - Wflow(version="2020.1.1", parameter_set=parameter_set) - - assert ( - "Config file from parameter set is missing API section, adding section" - in caplog.text - ) - assert ( - "Config file from parameter set is missing RiverRunoff option in API section" - in caplog.text - ) - assert "added it with value '2, m/s option'" in caplog.text - - -def test_str(model, tmp_path): - actual = str(model) - - expected_ps = "".join( - [ - "ParameterSet(name='wflow_testcase', ", - f"directory={repr(tmp_path / 'wflow_testcase')}, ", - f"config={repr(tmp_path / 'wflow_testcase' / 'wflow_sbm_nc.ini')}, ", - "doi='N/A', target_model='wflow', supported_model_versions=set(), ", - "downloader=None)", - ] - ) - expected = f"parameter_set={expected_ps} forcing=None" - assert actual == expected - - -def test_setup(model): - with patch.object(BmiClientApptainer, "__init__", return_value=None), patch( - "datetime.datetime" - ) as mocked_datetime: - mocked_datetime.now.return_value = datetime(2021, 1, 2, 3, 4, 5) - - cfg_file, cfg_dir = model.setup() - expected_cfg_dir = CFG.output_dir / "wflow_20210102_030405" - assert cfg_dir == str(expected_cfg_dir) - expected_cfg_file = expected_cfg_dir / "wflow_ewatercycle.ini" - assert cfg_file == str(expected_cfg_file) - # Check content of config file - cfg = CaseConfigParser() - cfg.read(expected_cfg_file) - assert cfg.get("API", "RiverRunoff") == "2, m/s" - - -def test_setup_withtimeoutexception(model, tmp_path): - with patch.object( - BmiClientApptainer, "__init__", side_effect=FutureTimeoutError() - ), patch("datetime.datetime") as mocked_datetime, pytest.raises( - TimeoutError - ) as excinfo: - mocked_datetime.now.return_value = datetime(2021, 1, 2, 3, 4, 5) - model.setup() - - msg = str(excinfo.value) - assert "docker://ewatercycle/wflow-grpc4bmi:2020.1.3" in msg - assert "ewatercycle-wflow-grpc4bmi_2020.1.3.sif" in msg - - -def test_setup_with_custom_cfg_dir(model, tmp_path): - my_cfg_dir = str(tmp_path / "mycfgdir") - with patch.object(BmiClientApptainer, "__init__", return_value=None), patch( - "datetime.datetime" - ) as mocked_datetime: - mocked_datetime.now.return_value = datetime(2021, 1, 2, 3, 4, 5) - - cfg_file, cfg_dir = model.setup(cfg_dir=my_cfg_dir) - - assert cfg_dir == my_cfg_dir - assert cfg_file == str(Path(my_cfg_dir) / "wflow_ewatercycle.ini") - - -def test_get_value_as_coords(initialized_model, caplog): - model = initialized_model - - with caplog.at_level(logging.DEBUG): - result = model.get_value_at_coords("discharge", lon=[5.2], lat=[46.8]) - - msg1 = "Requested point was lon: 5.2, lat: 46.8;" - msg2 = "closest grid point is 5.00, 47.00." - - assert msg1 in caplog.text and msg2 in caplog.text - assert result == np.array([1.0]) - assert model.bmi.origin.indices == [4] diff --git a/tests/src/test_parameter_sets.py b/tests/src/test_parameter_sets.py index 1db1b331..53c51789 100644 --- a/tests/src/test_parameter_sets.py +++ b/tests/src/test_parameter_sets.py @@ -83,15 +83,13 @@ def test_value(self, mocked_parameterset_dir, tmp_path): def test_example_parameter_sets(setup_config): examples = example_parameter_sets() - assert len(list(examples)) > 0 - for name in examples: - assert name == examples[name].name + assert examples == {} @patch.object(ParameterSet, "download") def test_download_example_parameter_sets(mocked_download, setup_config, tmp_path): download_example_parameter_sets() - assert mocked_download.call_count > 0 + assert mocked_download.call_count == 0 assert CFG.ewatercycle_config.read_text() == CFG.dump_to_yaml() - assert len(CFG.parameter_sets) > 0 + assert len(CFG.parameter_sets) == 0

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