requirements: update rich requirement from <10.12,>=10.1 to >=10.1,<10.13 #2141
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
![dependabot[bot]](https://avatars.githubusercontent.com/in/29110?s=60&v=4){kind=small}
|
This PR causes the following changes to the html docs (ubuntu-latest-3.7-x64): See CI logs for the full diff. |
|
looks like this is just a minor update for python3.10. |
Updates the requirements on [rich](https://github.com/willmcgugan/rich) to permit the latest version. - [Release notes](https://github.com/willmcgugan/rich/releases) - [Changelog](https://github.com/willmcgugan/rich/blob/master/CHANGELOG.md) - [Commits](Textualize/rich@v10.1.0...v10.12.0) --- updated-dependencies: - dependency-name: rich dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
dependabot
bot
force-pushed
the
dependabot/pip/devel/rich-gte-10.1-and-lt-10.13
branch
from
938ad66
to
a4f9893
Compare
|
This PR causes the following changes to the html docs (ubuntu-latest-3.7-x64): See CI logs for the full diff. |
dependabot
bot
deleted the
dependabot/pip/devel/rich-gte-10.1-and-lt-10.13
branch
jdcpni
added a commit
that referenced
this pull request
Dec 23, 2021
* requirements: update grpcio requirement from <1.35.0 to <1.41.0 (#2115)
* requirements: update grpcio-tools requirement from <1.35.0 to <1.41.0 (#2116)
* requirements: update rich requirement
Updates the requirements on [rich](https://github.com/willmcgugan/rich) to permit the latest version.
- [Release notes](https://github.com/willmcgugan/rich/releases)
- [Changelog](https://github.com/willmcgugan/rich/blob/master/CHANGELOG.md)
- [Commits](https://github.com/willmcgugan/rich/compare/v10.1.0...v10.10.0)
---
updated-dependencies:
- dependency-name: rich
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
* requirements: update pytest-xdist requirement from <2.4.0 to <2.5.0 (#2124)
* llvm/udf: Add support for numpy sqrt
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* tests/models/Predator-Prey: Use attractor/repeller forces to select the next move
Compare the move based on observations with the real bearing from player to prey.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* github-actions(deps): bump actions/github-script from 4.1 to 5 (#2125)
* requirements: update toposort requirement from <1.7 to <1.8 (#2129)
* conftest: Fix typo in func_mode helper
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* tests/mechanism/noise_variations: Set seeds of noise function instead of RandomState
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* tests/transfer_mechanism/uniform_to_normal_noise: Set seeds of noise function instead of RandomState
Results change since the 'seed' parameter is converted to list before use.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* tests/modulation_of_random_seed: Check final model results
Drop custom in-flight function check.
Remove any cost calculation and use generated random value as objective metric.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* function: parameters.seed should match the seed that was used to initialize parameters.random_state
Fix function copy workaround to reset the seed parameter,
the state will be adjusted by the seed setter function.
Use DEFAULT_SEED to avoid advancing global seed.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* functions/parameters: Reset PRNG state on seed assignment or change
Instead of resetting the PRNG state once per context,
the new approach compares the originally used seed with the new value
(either new setting or modulation).
This allows for better match in multi-trial executions with OCM:
Simulations will only reset PRNG if the modulated seed is different
from the one in the current execution context.
The result of evaluation will thus match the result of trial even
if OCM selects the same seed as originally used by the execution.
The PRNG state is also reset on direct seed modification to preserve
the old behaviour in situations like;
Func1.seed = n
Func2.seed = n
# Both Func1 and Func2 now follow the same random sequence irrespective
# of their original seed
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* tests/random_state: Update test to check semantics across multiple trials
Construct the expected values in the test instead of using constants
to verify the semantics of reusing random seeds.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* treewide: Use '==' to compare strings
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* treewide: Drop unused imports
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* codestyle: Fix and check E712: Comparison to True/False should use is/is not
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* codestyle: Fix and check E305: Expected 2 blank lines after class or function definition
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* codestyle: Fix and check E117: Overindented
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* requirements: update rich requirement
Updates the requirements on [rich](https://github.com/willmcgugan/rich) to permit the latest version.
- [Release notes](https://github.com/willmcgugan/rich/releases)
- [Changelog](https://github.com/willmcgugan/rich/blob/master/CHANGELOG.md)
- [Commits](https://github.com/willmcgugan/rich/compare/v10.1.0...v10.11.0)
---
updated-dependencies:
- dependency-name: rich
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
* functions/TransferWithCosts: Convert CostFunctions to IntFlag instead if IntEnum
Bitwise combination of flags is still a flag.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* tests/control: Add simple test for all possible cost options
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* Parameters: exclude more types from copying (#2134)
* requirements: update pytest-cov requirement from <2.12.2 to <3.0.1 (#2135)
* UDF: support directly passing parameter values
previously required them in dictionary form as the params argument
* UDF: support string expressions
* UDF: allow integration for one parameter
* llvm, component: Add 'control_signal' and 'control_signal_params' to the list of ignored parameters
Never used in compiled code.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm, functions: Add compilation support for UniformDist function
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm, functions/GridSearch: Convert ctypes to numpy before returning from parallel execution
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm, functions/GridSearch: Optionally save used calculated values and samples
Extend tests.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm: Add helper function to retrieve and optionally reseed random state
Store used seed in compiled random state.
Check the last used seed with the most recent value of the 'seed' param,
reseed the random state if the seeds don't match.
Add simple test.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* github-actions: Restrict main CI run to macos-10.15
Block macos-11 until
https://github.com/actions/virtual-environments/issues/4230 is fixed
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* functions: _is_identity: add option for defaults (#2136)
* llvm, mechanism: Use Parameter class to build a list of needed parameter ports
Names of Parameter and ParameterPort don't have to match if there are
multiple parameters with the same name. (Like 'seed' in DDM with DDI
function).
Add test modulating seed of DDI within DDM.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* requirements: update rich requirement (#2141)
* SharedParameter: improve source detection (#2142)
in the case that the values attribute of a Parameter is not yet
populated, the source of a SharedParameter would not be detectable. We
can instead find a corresponding source Parameter using the default.
This should only be used for completely stateless purposes (checking the
value of a "descriptive" Parameter attribute like "stateful" or
"loggable")
* requirements: update grpcio requirement from <1.41.0 to <1.42.0 (#2127)
* requirements: update grpcio-tools requirement from <1.41.0 to <1.42.0 (#2128)
* SharedParameter: direct get_previous, get_delta to source Parameter (#2143)
* llvm, ports: Move cost generation methods to ControlSignal
Matches code location of Python implementation.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm, ports/ControlSignal: Always call 'combine_costs' when calculating costs
Matches Python semantics.
Add input shape workaround for Reduce function.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* LCAMechanism: allow user-input integrator_function (#2148)
* requirements: update sphinx requirement from <4.1.3 to <4.2.1 (#2120)
* github-actions(deps): bump actions/checkout from 2.3.4 to 2.3.5 (#2149)
* requirements: update pillow requirement from <8.4.0 to <8.5.0 (#2150)
* requirements: update elfi requirement from <0.8.1 to <0.8.3
Updates the requirements on [elfi](https://github.com/elfi-dev/elfi) to permit the latest version.
- [Release notes](https://github.com/elfi-dev/elfi/releases)
- [Commits](https://github.com/elfi-dev/elfi/compare/0.2.2...v0.8.2)
---
updated-dependencies:
- dependency-name: elfi
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
* github-actions: Bump python-3.{8,9} to macos-latest.
Keep python3.7 on macos-10.15.
See https://github.com/actions/virtual-environments/issues/4230 for
details.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* requirements: update graph-scheduler requirement from <=1.0.0rc2 to <1.0.1 (#2153)
* requirements: update numpy requirement from <1.21.3 to <1.21.4 (#2152)
* functions/TransferWithCosts: Change default cost options to CostFunctions.NONE
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* github-actions: Drop maxprocesses settings
all cloud hosted runners should be able to run one test worker per core.
(see
https://docs.github.com/en/actions/using-github-hosted-runners/about-github-hosted-runners#supported-runners-and-hardware-resources )
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* github-actions: Add code coverage job (#2159)
Use macos-latest, Python 3.9.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* github-actions: Do not check for GITHUB_TOKEN env var when uploading coveralls results (#2163)
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* github-actions: Allow RW permissions for jobs updating the online docs (#2160)
Per [0] this should also work with dependabot triggered runs on devel.
Closes: https://github.com/PrincetonUniversity/PsyNeuLink/issues/2144
Tested by setting default GITHUB_TOKEN permissions to RO at repo scope.
[0] https://github.blog/changelog/2021-10-06-github-actions-workflows-triggered-by-dependabot-prs-will-respect-permissions-key-in-workflows/
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* Component: add all_dependent_parameters (#2162)
returns a dict containing Parameters for all dependent components
* github-actions(deps): bump actions/checkout from 2.3.5 to 2.4.0 (#2165)
Bumps [actions/checkout](https://github.com/actions/checkout) from 2.3.5 to 2.4.0.
- [Release notes](https://github.com/actions/checkout/releases)
- [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md)
- [Commits](https://github.com/actions/checkout/compare/v2.3.5...v2.4.0)
---
updated-dependencies:
- dependency-name: actions/checkout
dependency-type: direct:production
update-type: version-update:semver-minor
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* Refactor/pec (#2166)
* • component.py
docstring mod to **size**
* • docstring edits to composition.py and optimizationcontrolmechanism.py
* • optimizationcontrolmechanism.py
- evaluation_function:
add num_samples argument
call evaluate method num_samples times
return array of outcomes (and results if return_results is specified)
* • ControlMechanism
_instantiate_input_ports: remove duplicate statement (line 1399):
"self.input_port.name = OUTCOME"
* • optimizationcontrolmechanism.py:
_instantiate_input_ports:
augmented to specify size of input_port[OUTCOME] equal to
size of either objective_mechanism.output_port[OUTCOME] or
OCM's monitor_for_control argument
* • transferfunctions.py:
CostFunctions: changed DEFAULTS assignment to NONE (from INTENSITY)
* • test_modulation_simple
modifed expected result for CostFunctions.DEFAULT from INTENSITY to NONE
* • optimizationcontrolmechanism.py
removed override of _update_input_ports()
* • optimizationcontrolmechanism.py and controlmechanism.py:
refactor _instantiate_input_ports, moving stuff from OCM to controlmechanism
* • optimizationcontrolmechanism.py and controlmechanism.py:
refactor _instantiate_input_ports, moving stuff from OCM to controlmechanism
* -
* -
* -
* • optimizationcontrolmechanism.py, controlmechanism.py:
- more consolidation of instantiate_input_ports and _instanatiate_objective_mechanism
* -
* • Merge of:
- refactor/ocm_control_mec/instantiate_input_ports and
- refactor/ocm/evaluate_return_array
* • optimizationcontrolmechanism.py:
- added num_trials_per_estimate parameter
- refactoring so that looping over estimates is moved to composition.evaluate()
* -
* • Project
- added num_trials_per_estimate throughout (still needed in LLVM build methods)
- composition.evaluate(): used to replace num_simulation_trials
* • composition.py
- implemented loop for num_estimates
* -
* • docstrings for composition.evaluate() and optimizationcontrolmechanism.evaluation_function()
* • docstrings for composition.evaluate() and optimizationcontrolmechanism.evaluation_function()
* -
* -
* • parameterestimationcomposition.py: added
* -
* -
* -
* • parameterestimationcomposition.py: added
* • optimizationfunctions.py: added GridBasedOptimization
* • parameterestimationcomposition.py: sketched out
* -
* • optimizationfunctions.py: GridBasedOptimization has been added
• parameterestimationcomposition: further fleshed out
• composition.py: removed num_estimates (now handled by ocm.evaluation_function
* -
* -
* -
* -
* -
* • parameterestimationcomposition.py: implemented seed arguments
* -
* -
* -
* -
* -
* -
* -
* -
* • component.py: added all_dependent_parameters() (from Katherine)
* • component.py: added all_dependent_parameters() (from Katherine)
* tmp: prevent inf recursion in all_dependent_parameters
* -
* -
* -
* -
* • parameterestimationcomposition.py - should be functioning
* • parameterestimationcomposition.py - docstring editing
* -
* -
* -
* -
* -
* -
* -
* -
* • core.rst: elaborated toc
* • parameterestimationcomposition.py - docstring
* • parameterestimationcomposition.py - notes for run()
* • parameterestimationcomposition.py - fixed handling of agent_rep (to make it self)
* • parameterestimationcomposition.py - enforced controller_mode==BEFORE for self
* -
* -
* -
* • parameterestimationcomposition.py:
- ensure that Composition construction args are not specified
- ensure that controller args are not specified
* • parameterestimationcomposition.py: some refactoring of handling of target
* • parameterestimationcomposition.py:
- support specification of Composition to be estimated within PEC itself
(i.e., in place of **target**)
* • parameterestimationcomposition.py:
- 'target' renamed 'model'
- support specification of model within PEC itself
* • parameterestimationcomposition.py:
- 'target' renamed to 'model'
- support specification of model within PEC constructor itself
* -
* • parameterestimationcomposition.py: docstring edits
* • parameterestimationcomposition.py: more docstring edits
* • optimizationcontrolmechanism.py: fixed bug in evaluation_function
* • optimizationcontrolmechanism.py: fixed bug in evaluation_function
* • tests: fixed some bugs
* -
* -
* -
* -
* • optimizationcontrolmechanism.py - fixed bug in setting of num_trials_per_estimate
* • optimizationcontrolmechanism.py - fixed bug in setting of num_trials_per_estimate
* -
* • optimizationcontrolmechanism.py, controlmechanism.py:
- pass input_ports from OCM to controlmechanism in _instantiate_input_ports
- pass input_ports to _instantiate_objective_mechanism in controlmechanism.py
- remove extra lines in optimizationcontrolmechanism._control_allocation_getter
- reorder OUTCOME
* • optimizationcontrolmechanism.py, controlmechanism.py:
- pass input_ports from OCM to controlmechanism in _instantiate_input_ports
- pass input_ports to _instantiate_objective_mechanism in controlmechanism.py
- remove extra lines in optimizationcontrolmechanism._control_allocation_getter
- reorder OUTCOME
* -
* -
* • controlmechanism.py, optimizationcontrolmechanism.py:
- _instantiate_input_ports():
refactored to more efficiently centralize handling of OUTCOME and state_features
• composition.py:
- _build_predicted_inputs_dict(): modified to use default inputs if none are specifid
* -
* • controlmechanism.py: fix reference value in _instantiate_input_ports
* -
* -
* -
* -
* -
* -
* -
* -
* -
* -
* -
* -
* • controlmechanism.py: fix reference value in _instantiate_input_ports
* • test_show_graph: some fixed
* • breaking in test_of_show_3_level...
* • breaking in test_of_show_3_level...
* • test_of_show_3_level...
* • test_show_graph.py: all pass
* • test_show_graph.py: all pass
* • parameterestimationcomposition.py:
_instantiate_ocm(): updated search for seed parameter ports
* - pycodestyle corrections
* - pycodestyle corrections
Co-authored-by: jdcpni <pniintel55>
Co-authored-by: Katherine Mantel <kmantel@princeton.edu>
* github-actions/install-pnl: Support persistent runners (#2167)
Setup python venv in a temp directory that is cleaned on workflow exit
Cleanup temporary tag on pull requests.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* maint: remove freeze.txt (#2182)
* github-actions/release: Add deployment environments
The environments are created with no restrictions if they don't exist.
Split upload to github release and PyPI.
Add write permission to jobs creating release and uploading artifacts.
Clarify comments and fix typos
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* github-actions/release: Use TWINE_REPOSITORY_URL instead of TWINE_REPOSITORY
The latter needs configuration file to read the url from.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* github-actions/release: rest API methods were moved to github.rest.*
github-script@v5 made the change and the release scripts were not
tested.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* github-actions/release: Create full release instead of prerelease on tag
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* github-actions/release: Drop limitation to max 2 test processes
No longer needed.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* github-actions/release: Consolidate into one workflow
Move all github release handling into one job,
guarded by gh-release deployment
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* requirements: Require minimum numpy version to include Philox PRNG
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* tests/llvm: Rename random tests to include a reference to MT PRNG
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm: Implement integer and uniform FP Philox PRNG
Add and test both 64bit and 32bit versions.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm/helpers: Add helpers for log and log1p
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm/builtins: Implement the ziggurat method for generating Normal distribution using Philox (fp64 only)
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* Refactor/controlmech and ocm (#2186)
* • component.py
docstring mod to **size**
* • controlmechanism.py: add support for monitor_for_control in _instantiate_input_ports
* -
* • controlmechanism.py: refactoring to use outcome_input_ports_option
* • controlmechanism.py: refactored to use outcome_input_ports
following tests not passing:
- control/test_param_estimation_test_moving_average
(elfi)
- test_json:
test_json_results_equivalence
(model_with_control_py-comp-{Input: [0.5, 0.123], reward: [20, 20]})
test_write_json_file
(model_with_control_py-comp-{Input: [0.5, 0.123], reward: [20, 20]})
* -
* -
* -
* -
* -
* Tests passing
* • controlMechanism.py:
- added outcome_input_ports_option: SEPARATE, COMBINE, CONCATENATE
- refactored _outcome_getter to return value of all InputPorts in outcome_input_ports
* -
* • port.py:
_instantiate_projection_from_port raise PortError if type_match fails
for projection and parameter value during instantiation
* • port.py:
_instantiate_projection_from_port raise PortError if type_match fails
for projection and parameter value during instantiation
* • controlmechanism.py: fixed bugs in use of COMBINE and CONCATENATE
* • controlmechanism.py: fixed more bugs in use of COMBINE and CONCATENATE
* • optimizationcontrolmechanism.py: renamed evaluation_function -> evaluate_agent_rep
* • optimizationfunctions.py:
add aggregation_function as Parameter
add num_estimates as argument for _function
loop over num_estimates in call to _objective_function
and use aggregation_function to aggregate results
* • optimizationfunctions.py:
add aggregation_function as Parameter
add num_estimates as argument for _function
loop over num_estimates in call to _objective_function
and use aggregation_function to aggregate results
* -
* • optimizationfunctions.py:
- implemented randomization_seed_dimension argument
- implemented num_estimates property (uses randomization_seed_dimension)
• optimizationcontrolmechanism.py:
- validates that num_estimates (if specified) is consistent with
number generated by allocation_samples for seed ControlSignal
- passes randomization_seed_dimension to OptimizationFunction constructor
* -
* -
* -
* • tests/composition: add test_parameterestimationcomposition.py
* • tests/composition: add test_parameterestimationcomposition.py (basic form)
* -
* -
* -
* -
* • optimizationcontrolmechanism.py:
moved construction of randomization ControlSignal here from PEC
Passes all tests
* -
* -
* • optimizationcontrolmechanism.py:
renamed same_seed_for_all_parameter_combinations -> same_seed_for_all_allocations
(left name the same on PEC for UI reasons)
note: use of parameter by ObjectiveFunction remains to be implemented
* • optimizationcontrolmechanism.py: docstring updates to reflect preceding changes
* • optimizationcontrolmechanism.py: more docstring edits
* -
* -
* -
* -
Co-authored-by: jdcpni <pniintel55>
* llvm: Destroy global LLVMBuilderContext instance on cleanup
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm: Move builtin generation to LLVMBuilderContext contruction
Allow only a single instance of LLVMBuilderContext.
Allow custom construction of LLVMBuilderContext.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm/BuilderContext: Allow specifying custom (fp32/fp64) floating point type
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* Docs/comp ctlmech ocm pec (#2187)
* • component.py
docstring mod to **size**
* • parameterestimationcomposition.py: docstring edits
* • composition.py: docstring edits
* -
* -
* -
* llvm: Create JIT engines on demand
Other than saving resource, this recreates
JIT specific builtins based on the currently active
LLVMBuilderContext, potentially using different type preferences.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* tests/llvm: Add rudimentary fp32 testing
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm/random: Drop type suffix from philox normal function
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm/builtins: Implement philox fp32 normal distribution
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm, function: Move SeededRandomState to utilities
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* Function_Base: Reuse the PRNG type when crating a copy using new seed
The default is still Seeded(np.random.RandomState)
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* tests/functions/memory: Move test ids with the rest of the params
Change duplicate test to not use the same rate.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm: Enable and test compiled Philox PRNG
Functions:
* ContentAddressableMemory
* DictionaryMemory
* DriftDiffusionIntegrator
* GaussianDistort
* GridSearch
* NormalDist
* OneHot
* UniformDist
Mechanisms:
* DDM
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* github-actions/pnl-ci-docs: Force creation of temporary version tag (#2192)
Cleanup the tag if the documentation build fails.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* tests/ddm: Disable Bogacz test with Philox prng (#2195)
Disable to investigate segfaults:
=================================== FAILURES ===================================
____________________ tests/mechanisms/test_ddm_mechanism.py ____________________
[gw2] darwin -- Python 3.7.12 /Users/runner/work/_temp/_venv/bin/python
worker 'gw2' crashed while running 'tests/mechanisms/test_ddm_mechanism.py::test_DDM_Integrator_Bogacz[LLVM-Philox]'
=============================== warnings summary ===============================
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* github-actions/comment: Add PR write permission and use github.rest.* for rest API (#2196)
Follow up to 01f710683a7ff6c163fe990700666af047bf9473
("github-actions/release: rest API methods were moved to github.rest.*")
Fixes: 35cf6ecc792f0dd4bb024510b37b3ff825560ab0 ("github-actions(deps):
bump actions/github-script from 4.1 to 5 (#2125)")
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm, mechanisms/DDM: Pass correct parameter structure for seed resetting
The 'params' in this context refers to the parameter structure of the
invoked function. Instead we need to pass the mechanism's parameters.
Fixes 9b2ab4f16d80a6409760754fe3949586b5dc79ef ("llvm: Add helper
function to retrieve and optionally reseed random state")
Add comment about seed floating point type.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm/codegen: Use correct helper to get state member offset
Indexing into state should use 'get_state_ptr'
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm/helpers: Add basic sanity checks to get_{param,state}_ptr helpers
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm, autodiffcomposition: Add id for the optimizer state
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* tests/models/predator-prey: Restore checks of results (#2202)
Add values for Philox PRNG.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm, mechanism/ocm: Add extra checks for simulation input construction.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* tests/control: Set state features explicitly in modulation tests
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm, ports/ControlSignal: Add shape workarounds and allow Costfunctions.NONE
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* tests/predator-prey: Mark the 101 level test instance as 'stress' test (#2204)
No reason to run this variant in regular testing.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* tests/llvm: Add Philox PRNG tests with different seeds (#2205)
Checks that our seed perturbation routine is correct
It's enough to test int64 since all other variants are derived from
int64.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* pnl-ci: build docs-only branches (#2206)
now that jenkins builds are not produced and the required status is on
actions, we need actions to build these
* requirements: update psyneulink-sphinx-theme requirement (#2201)
* GatingMechanism: properly set gating_allocation as value alias (#2191)
* ControlProjection: correct control_signal to SharedParameter (#2212)
* github-actions(deps): bump actions/setup-python from 2.2.2 to 2.3.0 (#2209)
* llvm/execution: Do not require declaring cached compiled structures
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm/execution: Reuse helper functions to generate structures for 'evaluate'
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm/execution: Report timing information for creating binary structures
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm/debug: Remove unused debug setting 'no_ref_pass'
All uses were removed in ba56af82585e2d61f5b5bd13d9a19b7ee3b60124
("Refactor/autodiff (#1488)")
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm/execution: Drop ctype types for input/output in FuncExecution
We only need numpy dtype for input
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* llvm/execution: Improve comments and variable naming
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* github-actions(deps): bump actions/cache from 2.1.6 to 2.1.7 (#2213)
* setup/coverage: Correct option name multiprocess -> multiprocessing (#2219)
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* github-actions(deps): bump actions/setup-python from 2.3.0 to 2.3.1 (#2215)
* tests/show_graph: Strip whitespace before comparing expected dot output (#2220)
Spaces and newlines should not matter.
Fixes test failures with graphviz==0.19 which added extra newline at the
end of output.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* requirements: update graphviz requirement from <0.18.0 to <0.20.0 (#2218)
* Refactor/ocm/state input ports (#2221)
* • component.py
docstring mod to **size**
* • optimizationcontrolmechanism.py:
added feature_input_ports attribute and num_feature_input_ports property
* • optimizationcontrolmechanism.py:
added feature_input_ports attribute and num_feature_input_ports property
• parameterestimationcomposition.py: fixed misplacement of its Parameters() attribute
* • optimizationcontrolmechanism.py:
added feature_input_ports attribute and num_feature_input_ports property
• parameterestimationcomposition.py: fixed misplacement of its Parameters() attribute
• optimizationfunctions.py: made num_estimates a Parameter
* - modified test_mode_based_num_estimates
* -
* -
* • optimizationcontrolmechanism.py:
- _instantiate_control_signals: random_seeds -> random_seed_mod_values
* • composition.py
- _add_controller: modifying to instantiate feature_input_ports if none are specified
* • composition.py:
- add_controller: now adds feature_input_ports for Compostion INPUT nodes if not state_features not specified
* -
* • composition.py
- _add_controller: modifying to instantiate feature_input_ports if none are specified
* • composition.py:
- add_controller: assign simulation_input_ports
* -
* • optimizationcontrolmechanism.py:
- feature_input_ports -> state_input_ports
- _instantiate_input_ports():
state_features only allowed to specifying state_input_ports if
agent_rep is a CompositionFunctionApproximator (i.e., model-free optimization)
• composition.py:
- add_controller: adds state_input_ports to shadow INPUT Nodes of Composition
if controller.agent_rep is Composition (model-based optimziation)
or state_features have not been specified (for model-free optimizaton)
* -
* • optimizationcontrolmechanism.py:
_instantiate_input_ports:
reinstate allowance of state_features specification if agent_rep is a Composition
(i.e., model-based optimization) as long as they are all INPUT Nodes of agent_rep
* -
* -
* • optimizationcontrolmechanism.py
- _gen_llvm_evaluate_function: num_estimates -> num_estimates_per_trial
* -
* • optimizationcontrolmechanism.py
- _gen_llvm_evaluate_function: num_estimates -> num_trial_per_estimate
* • optimizationcontrolmechanism.py
- _gen_llvm_evaluate_function: num_estimates -> num_trials_per_estimate
* -
* -
* -
* -
* • composition.py
- __init__: moved controller instantiation until after nodes, projections and pathways
* • composition.py
- __init__: restored add_controller position
* llvm/struct generation: Make sure num_estimats per trial is always integer
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* -
* • composition.py:
- _update_controller: added
- add_controller and _analyze_graph(): call _update_controller
* -
* • composition.py
_update_controller: fixed to loop through all input_ports of comp INPUT nodes
* • test_control.py
- test_agent_rep_assignement_as_controller_and_replacement:
updated to test that shadowing projections to state_input_ports
are properly added and deleted
* • optimizationfunctions.py:
- _function: refactored to put use aggregation_function at end
- _grid_evaluate: still needs to return all_samples
* -
* • composition.py
- added call to _update_controller to add_node
- moved test for projections to controller.state_input_ports to run()
* -
* • composition.py:
moved calls to _update_controller to _complete_init_of_partially_initialized_nodes
moved _update_controller to ocm._update_state_input_ports
• optimizationcontrolmechanism.py:
added _update_state_input_ports [**still needed work**]
* • composition.py:
moved calls to _update_controller to _complete_init_of_partially_initialized_nodes
moved _update_controller to ocm._update_state_input_ports
_instantiate_controller_shadow_projections [still needs to be implemented]
• optimizationcontrolmechanism.py:
added _update_state_input_ports [**still needed work**]
* • composition.py
added needs_update_controller
* -
* • composition.py:
- implemented self.needs_update_controller
- moved implementation of controlsignal projections
from add_controller to _instantiate_control_projections
that is called in _complete_init_of_partially_initialized_nodes
Note: still need to set self.needs_update_controller to False
after instantiating state_input_ports and projections to them
* -
* -
* -
* -
* -
* -
* -
* -
* • Passing all test_control tests except test_mode_based_num_estimates
* • Passing all test_control tests
* -
* • optimizationcontrolmechanism.py
- _update_state_input_ports_for_controller: handle nested input nodes
* -
* • optimizationcontrolmechanism.py
_update_state_input_ports_for_controller: fixed bug with > 1 INPUT node in Composition
* • test_show_graph.py: passes all tests
* -
* • test_report.py: passing all tests
* • Passes all tests!
* -
* -
* • composition.py: reorganize with #region and #enregions
* • composition.py: reorganize with #region and #enregions
* • controlmechanism.py, optimizationcontrolmechanism.py:
- _instantiate_monitor_for_control_input_ports -> _parse_monitor_control_input_ports
- refactored to support allow_probes option on ocm
* -
* -
* -
* • controlmechanism.py, optimizationcontrolmechanism.py:
- _instantiate_monitor_for_control_input_ports -> _parse_monitor_control_input_ports
- refactored to support allow_probes option on ocm
* • controlmechanism.py, optimizationcontrolmechanism.py:
- _instantiate_monitor_for_control_input_ports -> _parse_monitor_control_input_ports
- refactored to support allow_probes option on ocm
* -
* • composition.py:
__init__: move controller to after add_nodes and add_linear_pathway
* -
* - test_control: only test_hanging_control_spec_outer_controller not passing
* -
* -
* -
* -
* -
* -
* • composition.py:
_instantiate_control_projections:
weird requirement for double-call to controller._instantiate_control_signal
* • test_paremtercomposition.py:
restored parameter spec that causes crash ('threshold',Decision2)
* ª Attempt to fix problem with partially overlapping local and ocm control specs
- composition.py
- _get_control_signals_for_composition: (see 11/20/21)
- added (but commented out change) to "if node.controller" to "if not node.controller"
- changed append to extend
- _instantiation_control_projection:
- got rid of try and except double-call to controller._instantiate_control_signals
- outdented call to self.controller._activate_projections_for_composition at end
- controlmechanism.py:
- _check_for_duplicates: add warning and return duplicates
- optimizationcontrolmechanism._instantiate_control_signals:
- add call to self.agent_rep._get_control_signals_for_composition() to get local control specs (on mechs in comp)
- eliminate duplicates with control_signal specs on OCM
- instantiate local + ocm control_signals
- parameterestimationcomposition.py
- added context to various calls
* see later commit
* see later commit
* see later commit
* see later commit
* - This branch passes all tests except:
- test_parameterestimationcomposition
- test_composition/test_partially_overlapping_control_specs (ADDED IN THIS COMMINT)
- All relevant changes to this branch are marked as "11/21/21."
However, most are commented out as they break other things.
- The tests above both involve local control specifications (on mechanism within a nested comp)
and on the OCM for the outer composition, some of which are for the same nested mechs
- Both tests fail with:
"AttributeError: 'NoneType' object has no attribute '_get_by_time_scale'" (in component.py LINE 3276)
This may be due to a problem with context setting, since the error is because the modulation Parameter
of the ControlProjection is returning "None" rather than "multiplicative_param" (when called with get(context)),
whereas "multiplicative_param" is returned with a call to get() (i.e., with no context specified)
- Most of test_partially_overlapping_control_specs is passed if
changes marked "11/21/21 NEW" in optimizationcontrolmechanism.py (LINE 1390) are implemented,
but it does not properly route ControlProjections through parameter_CIMS (see last assert in test).
Furthermore, test_parameterestimationcompsition fails with the mod param error, even though the
model has similar structure (i.e., outer composition -- in this case a ParameterEstimationComposition)
with an OCM that is given control specs that overlap with ones in a nested composition.
- There are also several other things in composition I found puzzling and tried modifying, but that cuased failures:
- _get_control_signals_for_composition():
- seems "if node.controller" should be "if **not** node.controller" (emphasis added just for comment)
- "append" should be "extend"
- _instantiate_control_projection():
- call to self.controller._activate_projections_for_composition (at end of method) should not be indented
* - small mods; don't impact anything relevant to prior commit message
* - small mods; don't impact anything relevant to prior commit message
* - small mods; don't impact anything relevant to prior commit message
* - finished adding formatting regions to composition.py
* -
* • composition.py:
- rename _check_projection_initialization_status -> _check_controller_initialization_status
- add _check_nodes_initialization_status(context=context)
(and calls it with _check_controller_initialization_status)
* • show_graph.py: addressed bug associated with ocm.allow_direct_probe
* • show_graph.py: addressed bug associated with ocm.allow_direct_probe
* -
* Composition: add_controller: set METHOD as context source early
* -
* • composition.py
retore append of control_signals in _instantiate_control_projections()
* • composition.py
restore append of control_signals in _instantiate_control_projections()
• test_composition.py:
add test_partially_overlapping_local_and_control_mech_control_specs_in_unnested_and_nested_comp
* • test_partially_overlapping_local_and_control_mech_control_specs_in_unnested_and_nested_comp():
- added clear_registry() to allow names to be reused in both runs of test
* • composition.py
docstring: added projections entry to list of attributes
- add_controller: added call to _add_node_aux_components() for controller
* • composition.py
_add_node_aux_components(): added deletion of item from aux_components if instantiated
* • composition.py
- comment out _add_node_aux_components() (causing new failures)
- move _instantiate_control_projections to be with _instantiate_control_projections,
after self.add_node(self.controller.objective_mechanism (to be more orderly)
* -
* - confirm that it passes all tests exception test_composition/test_partially_overlapping...
(with addition of _add_aux_components in add_controller commented out)
* • composition.py: some more fixed to add_controller that now fail only one test:
- test_agent_rep_assignement_as_controller_and_replacement
* • Passes *all* current tests
* • composition.py:
- add_controller: few more minor mods;
still passes all tests
* -
* -
* -
* • controlmechanism.py:
- __init__: resrict specification to only one of control, modulatory_signals, or control_signals (synonyms)
* -
* • composition.py: in progress fix of bug in instantiating shadow projections for ocm.state_input_ports
* • composition.py:
- _get_original_senders(): added support for nested composition
needs to be checked for more than one level
needs to be refactored to be recursive
* • optimizationcontrolmechanism.py
- _update_state_input_ports_for_controller: fix invalid_state_features to allow input_CIM of nested comp in agent_rep
* -
* • composition.py
- _get_original_senders: made recursive
* • test_show_graph.py: update for fixes
* -
* • tests: passes all in test_show_graph.py and test_report.py
* Passes all tests
* - comment clean-up
* • composition.py
- add_controller and _get_nested_node_CIM_port:
added support for forced assignment of NodeRole.OUTPUT for nodes specified in OCM.monitor_for_control,
but referenced 'allow_probes' attribute still needs to be implemented
* • composition.py, optimizationcontrolmechanism.py:
allow_probes fully implemented
* • show_graph.py: fixed bug causing extra projections to OCM
* • composition.py:
- _update_shadow_projections(): fix handling of deep nesting
* • optimizationcontrolmechanism.py: add agent_rep_type property
* • optimizationcontrolmechanism.py:
- state_feature_function -> state_feature_functions
* • optimizationcontrolmechanism.py:
- _validate_params: validate state_feature_functions
- _update_state_input_ports_for_controller: implement assignment of state_feature_functions
* -
* -
* • Passes all tests except test_json with 'model_with_control'
* -
* • composition.py
- add_projection: delete instantiation of shadow projections (handled by _update_shadow_projections)
* • composition.py
- add_projection: delete instantiation of shadow projections (handled by _update_shadow_projections)
- remove calls to _update_shadows_dict
* • composition.py
- add_projection: delete instantiation of shadow projections (handled by _update_shadow_projections)
- remove calls to _update_shadows_dict
* -
* • test_two_origins_two_input_ports: crashes on failure of C->B to update
* -
* • composition.py
- added property shadowing_dict that has shadowing ports as keys and the ports they shadow as values
- refactored _update_shadowing_projections to use shadowing_dict
* • optimizationcontrolmechanism.py
- _update_state_input_ports: modified validations for nested nodes; still failing some tests
* • optimizationcontrolmechanism.py
- _update_state_input_ports:
more careful and informative validation that state_input_ports are in comp or nested comp and are INPUT nodes thereof;
passes all tests except test_two_origins_two_input_ports as before
* • composition.py
_get_invalid_aux_components(): defer all shadow projections until _update_shadow_projections
* • composition.py
_get_invalid_aux_components(): bug fix in test for shadow projections
* Port: _remove_projection_to_port: don't reduce variable below length 1
even ports with no incoming projections have variable at least length 1
* • composition.py
add_node(): marked (but haven't removed) code block instantiating shadow_projections
that seems now to be redundant with _update_shadow_projection
* • show_graph.py
- _assign_cim_components: supress showing projections not in composition
* • composition.py:
_analyze_graph(): add extra call to _determine_node_roles after _update_shadow_projections
_run(): moved block of code at beginning initializing scheduler to after
_complete_init_of_partially_initialized_nodes and _analyze_graph()
• show_graph.py
- add test to all loops on projections: "if proj in composition.projection"
* • show_graph.py
- add show_projections_not_in_composition option for debugging
* • composition.py
_update_shadow_projections(): delete unused shadow projections and corresponding ports
* • composition.py
_update_shadow_projections(): fix bug in deletion of unused shadow projections and ports
• test_show_graph: tests failing, need mods to accomodate changes
* • composition.py:
_analyze_graph(): add extra call to _determine_node_roles after _update_shadow_projections
_run(): moved block of code at beginning initializing scheduler to after
_complete_init_of_partially_initialized_nodes and _analyze_graph()
• show_graph.py
- add test to all loops on projections: "if proj in composition.projection"
* • show_graph.py
fixes; now passes all show_graph tests
* -
* • composition.py
_update_shadow_projections: raise error for attempt to shadow INTERNAL Node of nested comp
* -
* -
* • test_composition.py
implemented test_shadow_nested_nodes that tests shadowing of nested nodes
* -
* -
* -
* -
Co-authored-by: jdcpni <pniintel55>
Co-authored-by: Jan Vesely <jan.vesely@rutgers.edu>
Co-authored-by: Katherine Mantel <kmantel@princeton.edu>
* Misc/ocm/docs and tests (#2223)
• composition.py
- add calls to _validate_monitor_for_control()
• controlmechanism.py,
- add _validate_monitor_for_control()
• optimizationcontrolmechanism.py:
- add _validate_monitor_for_control() for agent_rep
- major docsring revisions
• test_control:
add test_args_specific_to_ocm: tests use of state_features, monitor_for_control, objective_mechanism and allow_probe args
* requirements: update grpcio-tools requirement from <1.42.0 to <1.43.0 (#2210)
* Docs/ocm/revs (#2225)
* • component.py
docstring mod to **size**
* • optimizationcontrolmechanism.py:
added feature_input_ports attribute and num_feature_input_ports property
* • optimizationcontrolmechanism.py:
added feature_input_ports attribute and num_feature_input_ports property
• parameterestimationcomposition.py: fixed misplacement of its Parameters() attribute
* • optimizationcontrolmechanism.py:
added feature_input_ports attribute and num_feature_input_ports property
• parameterestimationcomposition.py: fixed misplacement of its Parameters() attribute
• optimizationfunctions.py: made num_estimates a Parameter
* - modified test_mode_based_num_estimates
* -
* -
* • optimizationcontrolmechanism.py:
- _instantiate_control_signals: random_seeds -> random_seed_mod_values
* • composition.py
- _add_controller: modifying to instantiate feature_input_ports if none are specified
* • composition.py:
- add_controller: now adds feature_input_ports for Compostion INPUT nodes if not state_features not specified
* -
* • composition.py
- _add_controller: modifying to instantiate feature_input_ports if none are specified
* • composition.py:
- add_controller: assign simulation_input_ports
* -
* • optimizationcontrolmechanism.py:
- feature_input_ports -> state_input_ports
- _instantiate_input_ports():
state_features only allowed to specifying state_input_ports if
agent_rep is a CompositionFunctionApproximator (i.e., model-free optimization)
• composition.py:
- add_controller: adds state_input_ports to shadow INPUT Nodes of Composition
if controller.agent_rep is Composition (model-based optimziation)
or state_features have not been specified (for model-free optimizaton)
* -
* • optimizationcontrolmechanism.py:
_instantiate_input_ports:
reinstate allowance of state_features specification if agent_rep is a Composition
(i.e., model-based optimization) as long as they are all INPUT Nodes of agent_rep
* -
* -
* • optimizationcontrolmechanism.py
- _gen_llvm_evaluate_function: num_estimates -> num_estimates_per_trial
* -
* • optimizationcontrolmechanism.py
- _gen_llvm_evaluate_function: num_estimates -> num_trial_per_estimate
* • optimizationcontrolmechanism.py
- _gen_llvm_evaluate_function: num_estimates -> num_trials_per_estimate
* -
* -
* -
* -
* • composition.py
- __init__: moved controller instantiation until after nodes, projections and pathways
* • composition.py
- __init__: restored add_controller position
* llvm/struct generation: Make sure num_estimats per trial is always integer
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
* -
* • composition.py:
- _update_controller: added
- add_controller and _analyze_graph(): call _update_controller
* -
* • composition.py
_update_controller: fixed to loop through all input_ports of comp INPUT nodes
* • test_control.py
- test_agent_rep_assignement_as_controller_and_replacement:
updated to test that shadowing projections to state_input_ports
are properly added and deleted
* • optimizationfunctions.py:
- _function: refactored to put use aggregation_function at end
- _grid_evaluate: still needs to return all_samples
* -
* • composition.py
- added call to _update_controller to add_node
- moved test for projections to controller.state_input_ports to run()
* -
* • composition.py:
moved calls to _update_controller to _complete_init_of_partially_initialized_nodes
moved _update_controller to ocm._update_state_input_ports
• optimizationcontrolmechanism.py:
added _update_state_input_ports [**still needed work**]
* -
* • composition.py:
moved calls to _update_controller to _complete_init_of_partially_initialized_nodes
moved _update_controller to ocm._update_state_input_ports
_instantiate_controller_shadow_projections [still needs to be implemented]
• optimizationcontrolmechanism.py:
added _update_state_input_ports [**still needed work**]
* • composition.py
added needs_update_controller
* -
* • composition.py:
- implemented self.needs_update_controller
- moved implementation of controlsignal projections
from add_controller to _instantiate_control_projections
that is called in _complete_init_of_partially_initialized_nodes
Note: still need to set self.needs_update_controller to False
after instantiating state_input_ports and projections to them
* -
* -
* -
* -
* -
* -
* -
* -
* • Passing all test_control tests except test_mode_based_num_estimates
* • Passing all test_control tests
* -
* • optimizationcontrolmechanism.py
- _update_state_input_ports_for_controller: handle nested input nodes
* -
* • optimizationcontrolmechanism.py
_update_state_input_ports_for_controller: fixed bug with > 1 INPUT node in Composition
* • test_show_graph.py: passes all tests
* -
* • test_report.py: passing all tests
* • Passes all tests!
* -
* -
* • composition.py: reorganize with #region and #enregions
* • composition.py: reorganize with #region and #enregions
* • controlmechanism.py, optimizationcontrolmechanism.py:
- _instantiate_monitor_for_control_input_ports -> _parse_monitor_control_input_ports
- refactored to support allow_probes option on ocm
* -
* -
* -
* • controlmechanism.py, optimizationcontrolmechanism.py:
- _instantiate_monitor_for_control_input_ports -> _parse_monitor_control_input_ports
- refactored to support allow_probes option on ocm
* • controlmechanism.py, optimizationcontrolmechanism.py:
- _instantiate_monitor_for_control_input_ports -> _parse_monitor_control_input_ports
- refactored to support allow_probes option on ocm
* -
* • composition.py:
__init__: move controller to after add_nodes and add_linear_pathway
* -
* - test_control: only test_hanging_control_spec_outer_controller not passing
* -
* -
* -
* -
* -
* -
* • composition.py:
_instantiate_control_projections:
weird requirement for double-call to controller._instantiate_control_signal
* • test_paremtercomposition.py:
restored parameter spec that causes crash ('threshold',Decision2)
* ª Attempt to fix problem with partially overlapping local and ocm control specs
- composition.py
- _get_control_signals_for_composition: (see 11/20/21)
- added (but commented out change) to "if node.controller" to "if not node.controller"
- changed append to extend
- _instantiation_control_projection:
- got rid of try and except double-call to controller._instantiate_control_signals
- outdented call to self.controller._activate_projections_for_composition at end
- controlmechanism.py:
- _check_for_duplicates: add warning and return duplicates
- optimizationcontrolmechanism._instantiate_control_signals:
- add call to self.agent_rep._get_control_signals_for_composition() to get local control specs (on mechs in comp)
- eliminate duplicates with control_signal specs on OCM
- instantiate local + ocm control_signals
- parameterestimationcomposition.py
- added context to various calls
* see later commit
* see later commit
* see later commit
* see later commit
* - This branch passes all tests except:
- test_parameterestimationcomposition
- test_composition/test_partially_overlapping_control_specs (ADDED IN THIS COMMINT)
- All relevant changes to this branch are marked as "11/21/21."
However, most are commented out as they break other things.
- The tests above both involve local control specifications (on mechanism within a nested comp)
and on the OCM for the outer composition, some of which are for the same nested mechs
- Both tests fail with:
"AttributeError: 'NoneType' object has no attribute '_get_by_time_scale'" (in component.py LINE 3276)
This may be due to a problem with context setting, since the error is because the modulation Parameter
of the ControlProjection is returning "None" rather than "multiplicative_param" (when called with get(context)),
whereas "multiplicative_param" is returned with a call to get() (i.e., with no context specified)
- Most of test_partially_overlapping_control_specs is passed if
changes marked "11/21/21 NEW" in optimizationcontrolmechanism.py (LINE 1390) are implemented,
but it does not properly route ControlProjections through parameter_CIMS (see last assert in test).
Furthermore, test_parameterestimationcompsition fails with the mod param error, even though the
model has similar structure (i.e., outer composition -- in this case a ParameterEstimationComposition)
with an OCM that is given control specs that overlap with ones in a nested composition.
- There are also several other things in composition I found puzzling and tried modifying, but that cuased failures:
- _get_control_signals_for_composition():
- seems "if node.controller" should be "if **not** node.controller" (emphasis added just for comment)
- "append" should be "extend"
- _instantiate_control_projection():
- call to self.controller._activate_projections_for_composition (at end of method) should not be indented
* - small mods; don't impact anything relevant to prior commit message
* - small mods; don't impact anything relevant to prior commit message
* - small mods; don't impact anything relevant to prior commit message
* - finished adding formatting regions to composition.py
* -
* • composition.py:
- rename _check_projection_initialization_status -> _check_controller_initialization_status
- add _check_nodes_initialization_status(context=context)
(and calls it with _check_controller_initialization_status)
* • show_graph.py: addressed bug associated with ocm.allow_direct_probe
* • show_graph.py: addressed bug associated with ocm.allow_direct_probe
* -
* Composition: add_controller: set METHOD as context source early
* -
* • composition.py
retore append of control_signals in _instantiate_control_projections()
* • composition.py
restore append of control_signals in _instantiate_control_projections()
• test_composition.py:
add test_partially_overlapping_local_and_control_mech_control_specs_in_unnested_and_nested_comp
* • test_partially_overlapping_local_and_control_mech_control_specs_in_unnested_and_nested_comp():
- added clear_registry() to allow names to be reused in both runs of test
* • composition.py
docstring: added projections entry to list of attributes
- add_controller: added call to _add_node_aux_components() for controller
* • composition.py
_add_node_aux_components(): added deletion of item from aux_components if instantiated
* • composition.py
- comment out _add_node_aux_components() (causing new failures)
- move _instantiate_control_projections to be with _instantiate_control_projections,
after self.add_node(self.controller.objective_mechanism (to be more orderly)
* -
* - confirm that it passes all tests exception test_composition/test_partially_overlapping...
(with addition of _add_aux_components in add_controller commented out)
* • composition.py: some more fixed to add_controller that now fail only one test:
- test_agent_rep_assignement_as_controller_and_replacement
* • Passes *all* current tests
* • composition.py:
- add_controller: few more minor mods;
still passes all tests
* -
* -
* -
* • controlmechanism.py:
- __init__: resrict specification to only one of control, modulatory_signals, or control_signals (synonyms)
* -
* • composition.py: in progress fix of bug in instantiating shadow projections for ocm.state_input_ports
* • composition.py:
- _get_original_senders(): added support for nested composition
needs to be checked for more than one level
needs to be refactored to be recursive
* • optimizationcontrolmechanism.py
- _update_state_input_ports_for_controller: fix invalid_state_features to allow input_CIM of nested comp in agent_rep
* -
* • composition.py
- _get_original_senders: made recursive
* • test_show_graph.py: update for fixes
* -
* • tests: passes all in test_show_graph.py and test_report.py
* Passes all tests
* - comment clean-up
* • composition.py
- add_controller and _get_nested_node_CIM_port:
added support for forced assignment of NodeRole.OUTPUT for nodes specified in OCM.monitor_for_control,
but referenced 'allow_probes' attribute still needs to be implemented
* • composition.py, optimizationcontrolmechanism.py:
allow_probes fully implemented
* • show_graph.py: fixed bug causing extra projections to OCM
* • composition.py:
- _update_shadow_projections(): fix handling of deep nesting
* • optimizationcontrolmechanism.py: add agent_rep_type property
* • optimizationcontrolmechanism.py:
- state_feature_function -> state_feature_functions
* • optimizationcontrolmechanism.py:
- _validate_params: validate state_feature_functions
- _update_state_input_ports_for_controller: implement assignment of state_feature_functions
* -
* -
* • Passes all tests except test_json with 'model_with_control'
* -
* • composition.py
- add_projection: delete instantiation of shadow projections (handled by _update_shadow_projections)
* • composition.py
- add_projection: delete instantiation of shadow projections (handled by _update_shadow_projections)
- remove calls to _update_shadows_dict
* • composition.py
- add_projection: delete instantiation of shadow projections (handled by _update_shadow_projections)
- remove calls to _update_shadows_dict
* -
* • test_two_origins_two_input_ports: crashes on failure of C->B to update
* -
* • composition.py
- added property shadowing_dict that has shadowing ports as keys and the ports they shadow as values
- refactored _update_shadowing_projections to use shadowing_dict
* • optimizationcontrolmechanism.py
- _update_state_input_ports: modified validations for nested nodes; still failing some tests
* • optimizationcontrolmechanism.py
- _update_state_input_ports:
more careful and informative validation that state_input_ports are in comp or nested comp and are INPUT nodes thereof;
passes all tests except test_two_origins_two_input_ports as before
* • composition.py
_get_invalid_aux_components(): defer all shadow projections until _update_shadow_projections
* • composition.py
_get_invalid_aux_components(): bug fix in test for shadow projections
* Port: _remove_projection_to_port: don't reduce variable below length 1
even ports with no incoming projections have variable at least length 1
* • composition.py
add_node(): marked (but haven't removed) code block instantiating shadow_projections
that seems now to be redundant with _update_shadow_projection
* • show_graph.py
- _assign_cim_components: supress showing projections not in composition
* • composition.py:
_analyze_graph(): add extra call to _determine_node_roles after _update_shadow_projections
_run(): moved block of code at beginning initializing scheduler to after
_complete_init_of_partially_initialized_nodes and _analyze_graph()
• show_graph.py
- add test to all loops on projections: "if proj in composition.projection"
* • show_graph.py
- add show_projections_not_in_composition option for debugging
* • composition.py
_update_shadow_projections(): delete unused shadow projections and corresponding ports
* • composition.py
_update_shadow_projections(): fix bug in deletion of unused shadow projections and ports
• test_show_graph: tests failing, need mods to accomodate changes
* • composition.py:
_analyze_graph(): add extra call to _determine_node_roles after _update_shadow_projections
_run(): moved block of code at beginning initializing scheduler to after
_complete_init_of_partially_initialized_nodes and _analyze_graph()
• show_graph.py
- add test to all loops on projections: "if proj in composition.projection"
* • show_graph.py
fixes; now passes all show_graph tests
* -
* • composition.py
_update_shadow_projections: raise error for attempt to shadow INTERNAL Node of nested comp
* -
* -
* • test_composition.py
implemented test_shadow_nested_nodes that tests shadowing of nested nodes
* -
* -
* -
* -
* • optimizationcontrolmechanism.py: docstring mods
* -
* -
* • optimizationcontrolmechanism.py
docstring: add figure
* • optimizationcontrolmechanism.py
docstring: rev figure
* -
* -
* -
* -
* -
* -
* -
* -
* -
Co-authored-by: jdcpni <pniintel55>
Co-authored-by: Jan Vesely <jan.vesely@rutgers.edu>
Co-authored-by: Katherine Mantel <kmantel@princeton.edu>
* Docs/ocm/revs (#2227)
* • component.py
docstring mod to **size**
* • optimizationcontrolmechanism.py:
added feature_input_ports attribute and num_feature_input_ports property
* • optimizationcontrolmechanism.py:
added feature_input_ports attribute and num_feature_input_ports property
• parameterestimationcomposition.py: fixed misplacement of its Parameters() attribute
* • optimizationcontrolmechanism.py:
added feature_input_ports attribute and num_feature_input_ports property
• parameterestimationcomposition.py: fixed misplacement of its Parameters() attribute
• optimizationfunctions.py: made num_estimates a Parameter
* - modified test_mode_based_num_estimates
* -
* -
* • optimizationcontrolmechanism.py:
- _instantiate_control_signals: random_seeds -> random_seed_mod_values
* • composition.py
- _add_controller: modifying to instantiate feature_input_ports if none are specified
* • composition.py:
- add_controller: now adds feature_input_ports for Compostion INPUT nodes if not state_features not specified
* -
* • composition.py
…
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Updates the requirements on rich to permit the latest version.
Release notes
Sourced from rich's releases.
Changelog
Sourced from rich's changelog.
... (truncated)
Commits
cf606f0changelog, doc fix0c0a1ffMerge pull request #1548 from willmcgugan/py310updateb5fc0f8fix 310 error message3da0e79added skips2aa932cfix broken test on py31094b008aexception for py3.6a2b4a95better handling of dataclassesb08be77bump poetrya50775euse py310473eac5Merge pull request #1539 from avi-perl/fix-misspelled-month-in-readmeDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase.Dependabot will merge this PR once it's up-to-date and CI passes on it, as requested by @jvesely.
Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR:
@dependabot rebasewill rebase this PR@dependabot recreatewill recreate this PR, overwriting any edits that have been made to it@dependabot mergewill merge this PR after your CI passes on it@dependabot squash and mergewill squash and merge this PR after your CI passes on it@dependabot cancel mergewill cancel a previously requested merge and block automerging@dependabot reopenwill reopen this PR if it is closed@dependabot closewill close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually@dependabot ignore this major versionwill close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this minor versionwill close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this dependencywill close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)