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docs(notebooks): add qubit-mapping guide #6

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Add qubit-mapping how-to guide to introduce the routing and layout transpiler stages.

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Need dependence on package mapomatic

@haimeng-zhang haimeng-zhang changed the title [docs]: add qubit-mapping how-to guide docs: add qubit-mapping how-to guide Jan 18, 2024
@pedrorrivero pedrorrivero added documentation Improvements or additions to documentation PL-3 Priority level 3/5 → Medium labels Jan 22, 2024
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Thanks @haimeng-zhang!

Would you mind creating a notebooks directory inside of docs and placing yours inside? (i.e. ./docs/notebooks/<NOTEBOOK>)

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Thanks @haimeng-zhang and @nathanearnestnoble! A couple of changes:

  • Please open one PR per notebook. Generally speaking PRs should do only one thing.
  • Please add the notebooks inside of a (new) ./docs/notebooks/ directory.

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pedrorrivero commented Feb 17, 2024

Hi @haimeng-zhang can you check that this notebook runs with a freshly created environment and only this repo installed from source? Please make sure to install the notebook optional dependencies.

Since Friday, this should be equivalent to Qiskit 1.0.0. You will need to rebase this branch to main, let me know if you need help.

If you need additional dependencies please flag.

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coveralls commented Feb 20, 2024

Pull Request Test Coverage Report for Build 8940873145

Warning: This coverage report may be inaccurate.

This pull request's base commit is no longer the HEAD commit of its target branch. This means it includes changes from outside the original pull request, including, potentially, unrelated coverage changes.

Details

  • 0 of 0 changed or added relevant lines in 0 files are covered.
  • No unchanged relevant lines lost coverage.
  • Overall coverage remained the same at 100.0%

Totals Coverage Status
Change from base Build 8708380490: 0.0%
Covered Lines: 290
Relevant Lines: 290

💛 - Coveralls

@pedrorrivero pedrorrivero added notebook Notebook improvements or additions and removed documentation Improvements or additions to documentation labels Feb 24, 2024
@pedrorrivero pedrorrivero changed the title docs: add qubit-mapping how-to guide docs(notebook): add qubit-mapping guide Feb 24, 2024
@pedrorrivero pedrorrivero changed the title docs(notebook): add qubit-mapping guide docs(notebooks): add qubit-mapping guide Feb 24, 2024
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@haimeng-zhang can we remove the word "guide" from the filename?

@ashsaki please have this review by end of day tomorrow so that Haimeng has time to integrate your suggestions and we can merge on Friday.

@pedrorrivero pedrorrivero removed the request for review from nathanearnestnoble March 26, 2024 18:48
"source": [
"### Routing\n",
"\n",
"First we shall transpile the circuit without worrying about the qubit qualities. Given the limited topology of current backends (a qubit in a heavy-hex device has at most 3 connected qubits), this circuit guarantees that at least one `SWAP` gate is needed. We transpile the circuit with `optimization_level=2` to avoid stochastic passes introduced in `optimization_level=3`. First, we check that SWAP gates are indeed required by using a `pass_manager`."
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I suggest we use optimization_level=3. Avoiding stochastic process is not a strong reason. Also, optimization_level=2 can be stochastic. SabreSwap is used as the routing method for both level $2$ and level $3$.

"outputs": [
{
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Two bullets - one circle and one square - in the same line.

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Fixed! Thanks!

"outputs": [
{
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"Step $2$" appears twice. This should be "Step $3$".

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Fixed. Thank you!

"outputs": [
{
"data": {
"image/png": 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Should be Step $4$.

Also, the default cost function in mapomatic uses only gate errors and readout errors, not state preparation and T1 and T2 errors (GitHub Link).

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This is a great point! Corrected the original statement about the cost function in mapomatic.

docs/notebooks/qubit_mapping_guide.ipynb Outdated Show resolved Hide resolved
"outputs": [
{
"data": {
"image/png": 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Can we use a shorter string? Example"

print(f'Fidelity (unoptimized circuit): {hellinger_fidelity(unoptimized_result, ideal)}')

Fix typo uoptimized --> unoptimized.

"outputs": [
{
"data": {
"image/png": 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gdqkdAAAAYE9Zc6kNDRkyJA888MBOj69evTorVqxIeXl5qqurm7SNHz8+H//4x1NTU5N+/folaZhKt3jx4px//vntUjcAAADAniqrt5hPu/vlL3+Zs846K0OHDs28efOatK1bty7Dhg3LUUcdlU9/+tPZsmVLJk6cmF69euU3v/lNOnQw2AwAAADYd0gqSmBHoNTcYt6HH354fvazn6VPnz655JJL8r73vS+nn356fvjDHwqWAAAAgH2OaXElsLtwKUkGDBiQH/7wh+1ZEgAAAEAhhsKUwI5wafjw4SWuBAAAAGDvWHMJAAAAgMKMXAIAAACgMOESAAAAAIUJlwAAAAAoTLgEAAAAQGHCJQAAAAAKEy4BAAAAUJhwCQAAAIDChEsAAAAAFCZcAgAAAKAw4RIAAAAAhQmXAAAAAChMuAQAAABAYcIlAAAAAAoTLgEAAABQmHAJAAAAgMKESwAAAAAUJlwCAAAAoDDhEgAAAACFCZcAAAAAKEy4BAAAAEBhwiUAAAAAChMuAQAAAFCYcAkAAACAwoRLAAAAABQmXAIAAACgMOESAAAAAIUJlwAAAAAoTLgEAAAAQGHCJQAAAAAKEy4BAAAAUJhwCQAAAIDChEsAAAAAFCZcAgAAAKAw4RIAAAAAhQmXAAAAAChMuAQAAABAYcIlAAAAAAoTLgEAAABQmHAJAAAAgMKESwAAAAAUJlwCAAAAoDDhEgAAAACFCZcAAAAAKEy4BAAAAEBhwiUAAAAAChMutYNVq1bl2muvzYABA1JRUZF+/frlmmuuyebNmzNhwoSUlZVl2rRppS4TAAAAoMXKS13AgW7u3Lk599xzs3LlynTt2jXV1dVZvnx5brnllixevDhLly5Nkpx00kklrhQAAACg5crq6+vrS13EgWrVqlU55ZRTUlNTk4kTJ2by5Mnp1q1bkuTGG2/M5MmTU15enrq6umzYsCGdO3cuccUAAAAALSNcakOXXnpp7rrrrlx99dW5+eabm7TV19enuro6CxcuTFVVVRYsWFCiKgEAAACKs+ZSG5k/f35mzJiR3r17Z8qUKTu1l5WVZcSIEUmaTolbtmxZrrrqqpx++unp0qVLysrKsnjx4vYqGwAAAKBFhEttZPr06amrq8uECRPSpUuXZrfp1KlTkqbh0lNPPZUZM2ake/fueeMb39gutQIAAAAUZUHvNvLQQw8lScaMGbPLbZYtW5akabh05plnZuXKlUmSO+64Iw8++OBe1zJy5MjU1tbu9X4AAACAA1NlZWXmzJlTqK9wqY0sWbIkSdK/f/9m27du3ZrZs2cnaRoudejQ+oPJamtrs3z58lbfLwAAAIBwqY1s3LgxSbJly5Zm2++8886sXbs2PXv2TN++fdu0lsrKyjbdPwAAALB/25vsQLjURiorK7N+/frMmTMnI0eObNJWU1OTSZMmJUmGDx/e5rUUHdYGAAAA8Gos6N1Gxo4dmySZOnVqnnzyycbHZ82albPPPjtr1qxJ0nRKHAAAAMD+RrjURq677rr06NEjNTU1GTJkSIYNG5aBAwdm1KhRGTx4cEaPHp1EuAQAAADs34RLbeS4447LzJkzM27cuFRUVGTJkiXp1atXpk2blvvuuy8LFy5MIlwCAAAA9m/WXGpDQ4YMyQMPPLDT46tXr86KFStSXl6e6urqElQGAAAA0DqESyUwb968JElVVVU6deq0U/vdd9+d5G8Lcf/4xz9Or1690r9//50WBwcAAAAoJeFSCewIl3Y1Je7iiy9ucv/KK69Mkrz73e/OHXfc0aa1AQAAALSEcKkEXi1cqq+vb89yAAAAAAqzoHcJ7AiXhg8fXuJKAAAAAPZOWb1hMgAAAAAUZOQSAAAAAIUJlwAAAAAoTLgEAAAAQGHCJQAAAAAKEy4BAAAAUJhwCQAAAIDChEsAAAAAFCZcAgAAAKAw4RIAAAAAhQmXAAAAAChMuAQAAABAYcIlAAAAAAoTLgEAAABQmHAJAAAAgMKESwAAAAAUJlwCAAAAoDDhEgAAAACFCZcAAAAAKEy4BAAAAEBhwiUAAAAAChMuAQAAAFCYcAkAAACAwoRLAAAAABQmXAIAAACgMOESAAAAAIUJlwAAAAAoTLgEAAAAQGHCJQAAAAAKEy4BAAAAUJhwCQAAAIDChEsAAAAAFCZcAgAAAKAw4RIAAAAAhQmXAAAAAChMuAQAAABAYcIlAAAAAAoTLgEAAABQmHAJAAAAgMKESwAAAAAUJlwCAAAAoDDhEgAAAACFCZcAAAAAKEy4BAAAAEBhwiUAAAAAChMuAQAAAFCYcKkdrFq1Ktdee20GDBiQioqK9OvXL9dcc002b96cCRMmpKysLNOmTSt1mQAAAAAtVl7qAg50c+fOzbnnnpuVK1ema9euqa6uzvLly3PLLbdk8eLFWbp0aZLkpJNOKnGlAAAAAC1XVl9fX1/qIg5Uq1atyimnnJKamppMnDgxkydPTrdu3ZIkN954YyZPnpzy8vLU1dVlw4YN6dy5c4krBgAAAGgZ4VIbuvTSS3PXXXfl6quvzs0339ykrb6+PtXV1Vm4cGGqqqqyYMGCElUJAAAAUJw1l9rI/PnzM2PGjPTu3TtTpkzZqb2srCwjRoxI0nRK3N133523ve1tec1rXpMuXbqkqqoq119/fTZs2NButQMAAADsKeFSG5k+fXrq6uoyYcKEdOnSpdltOnXqlKRpuPT5z38+HTt2zNSpU/PjH/84//qv/5pbb701f//3f5+6urp2qR0AAABgT1nQu4089NBDSZIxY8bscptly5YlaRou/eAHP0ivXr0a77/xjW/MUUcdlcsvvzy//vWvc+aZZ7ZRxQAAAAAtJ1xqI0uWLEmS9O/fv9n2rVu3Zvbs2UmahksvD5Z22DF9bvny5YVqGTlyZGprawv1BQAAAA58lZWVmTNnTqG+wqU2snHjxiTJli1bmm2/8847s3bt2vTs2TN9+/bd7b5+9atfJUmqqqoK1VJbW1s4mAIAAADYHeFSG6msrMz69eszZ86cjBw5sklbTU1NJk2alCQZPnz4bvezfPnyfPKTn8y5556b173udYVrAQAAANiVvckOhEttZOzYsVm0aFGmTp2as88+O4MGDUqSzJo1K5dffnnWrFmTpOmUuFfasGFD3vKWt+SQQw7JN7/5zcK1FB3WBgAAAPBqXC2ujVx33XXp0aNHampqMmTIkAwbNiwDBw7MqFGjMnjw4IwePTrJrsOlLVu25C1veUueeeaZ/OQnP8kxxxzTnuUDAAAA7BHhUhs57rjjMnPmzIwbNy4VFRVZsmRJevXqlWnTpuW+++7LwoULkzQfLr300kt5xzvekd/+9rf58Y9/nOrq6vYuHwAAAGCPlNXX19eXuoiDzerVq9OzZ8+Ul5dnw4YN6dSpU2NbXV1dLr300tx333350Y9+lDFjxpSwUgAAAIDds+ZSCcybNy9Jw9XfXh4sJckHP/jBzJgxI9dff306d+6cWbNmNbYde+yxOfbYY9u1VgAAAIDdMS2uBHaES81NifvRj36UJPk//+f/ZNSoUU1u06ZNa9c6AQAAAF6NkUslsLtwafHixe1cDQAAAEBxRi6VwI5wafjw4SWuBAAAAGDvWNAbAAAAgMKMXAIAAACgMOESAAAAAIUJlwAAAAAoTLgEAAAAQGHCJQAAAAAKEy4BAAAAUJhwCQAAAIDChEsAAAAAFCZcAgAAAKAw4RIAAAAAhQmXAAAAAChMuAQAAABAYcIlAAAAAAoTLgEAAABQmHAJAAAAgMKESwAAAAAUJlwCAAAAoDDhEgAAAACFCZcAAAAAKEy4BAAAAEBhwiUAAAAAChMuAQAAAFCYcAkAAACAwoRLAAAAABQmXAIAAACgMOESAAAAAIUJlwAAAAAoTLgEAAAAQGHCJQAAAAAKEy4BAAAAUJhwCQAAAIDChEsAAAAAFCZcAgAAAKAw4RIAAAAAhQmXAAAAAChMuAQAAABAYcIlAAAAAAoTLgEAAABQmHAJAAAAgMKESwAAAAAUJlwCAAAAoDDhEgAAAACFCZcAAAAAKEy4BAAAAEBhwiUAAAAAChMuAQAAAFCYcKkdrFq1Ktdee20GDBiQioqK9OvXL9dcc002b96cCRMmpKysLNOmTSt1mQAAAAAtVl7qAg50c+fOzbnnnpuVK1ema9euqa6uzvLly3PLLbdk8eLFWbp0aZLkpJNOKnGlAAAAAC1XVl9fX1/qIg5Uq1atyimnnJKamppMnDgxkydPTrdu3ZIkN954YyZPnpzy8vLU1dVlw4YN6dy5c4krBgAAAGgZ4VIbuvTSS3PXXXfl6quvzs0339ykrb6+PtXV1Vm4cGGqqqqyYMGCElUJAAAAUJw1l9rI/PnzM2PGjPTu3TtTpkzZqb2srCwjRoxI0nRK3MyZM3POOeekT58+6dSpU4499ti8853vFD4BAAAA+yRrLrWR6dOnp66uLhMmTEiXLl2a3aZTp05JmoZLL7zwQoYOHZr3v//96d27d5YtW5bPfOYzGTVqVP74xz/m2GOPbZf6AQAAAPaEcKmNPPTQQ0mSMWPG7HKbZcuWJWkaLl1wwQW54IILmmw3cuTIVFVV5fvf/34+9KEPtbiWkSNHpra2tsX9AAAAgINDZWVl5syZU6ivcKmNLFmyJEnSv3//Ztu3bt2a2bNnJ3n1K8UdddRRSZLy8mI/rtra2ixfvrxQXwAAAIDdES61kY0bNyZJtmzZ0mz7nXfembVr16Znz57p27fvTu3bt29PXV1dampq8vGPfzzHHHNM3vnOdxaqpbKyslA/AAAA4OCwN9mBcKmNVFZWZv369ZkzZ05GjhzZpK2mpiaTJk1KkgwfPrzZ/m984xvz8MMPJ0kGDhyYn/3sZ40jmFqq6LA2AAAAgFfjanFtZOzYsUmSqVOn5sknn2x8fNasWTn77LOzZs2aJLueEveNb3wjs2bNyl133ZXDDz8855xzTpYuXdrmdQMAAAC0RFl9fX19qYs4EC1dujQnn3xyXnjhhZSXl6eqqiqbN2/O008/nfPPPz8bNmzIz3/+83zzm9/MFVdcsdt9rVmzJv3798+ECRPyla98pX1OAAAAAGAPGLnURo477rjMnDkz48aNS0VFRZYsWZJevXpl2rRpue+++7Jw4cIkr76Yd5J07949AwcOzFNPPdXWZQMAAAC0iJFLJbB69er07Nkz5eXl2bBhQzp16rTb7Z999tkMGDAg73rXu/LVr361naoEAAAAeHUW9C6BefPmJUmqqqp2CpYmTJiQgQMH5uSTT0737t2zaNGifOELX0h5eXk+8pGPlKJcAAAAgF0SLpXAjnCpuSlxp512Wv7rv/4r//f//t9s2bIl/fr1y5gxY/Lxj388r3nNa9q7VAAAAIDdEi6VwO7CpQ9+8IP54Ac/2N4lAQAAABRiQe8S2BEuDR8+vMSVAAAAAOwdC3oDAAAAUJiRSwAAAAAUJlwCAAAAoDDhEgAAAACFCZcAAAAAKEy4BAAAAEBhwiUAAAAAChMuAQAAAFCYcAkAAACAwoRLAAAAABQmXAIAAACgMOESAAAAAIUJlwAAAAAoTLgEAAAAQGHCJQAAAAAKEy4BAAAAUJhwCQAAAIDChEsAAAAAFCZcAgAAAKAw4RIAAAAAhQmXAAAAAChMuAQAAABAYcIlAAAAAAoTLgEAAABQmHAJAAAAgMKESwAAAAAUJlwCAAAAoDDhEgAAAACFCZcAAAAAKEy4BAAAAEBhwiUAAAAAChMuAQAAAFCYcAkAAACAwoRLAAAAABQmXAIAAACgMOESAAAAAIUJlwAAAAAoTLgEAAAAQGHCJQAAAAAKEy4BAAAAUJhwCQAAAIDChEsAAAAAFCZcAgAAAKAw4RIAAAAAhQmXAAAAAChMuAQAAABAYcKldrBq1apce+21GTBgQCoqKtKvX79cc8012bx5cyZMmJCysrJMmzat1GUCAAAAtFh5qQs40M2dOzfnnntuVq5cma5du6a6ujrLly/PLbfcksWLF2fp0qVJkpNOOqnElQIAAAC0XFl9fX19qYs4UK1atSqnnHJKampqMnHixEyePDndunVLktx4442ZPHlyysvLU1dXlw0bNqRz584lrhgAAACgZYRLbejSSy/NXXfdlauvvjo333xzk7b6+vpUV1dn4cKFqaqqyoIFC0pUJQAAAEBx1lxqI/Pnz8+MGTPSu3fvTJkyZaf2srKyjBgxIsnup8T9wz/8Q8rKynLDDTe0VakAAAAAhQmX2sj06dNTV1eXCRMmpEuXLs1u06lTpyS7Dpe++93v5vHHH2+rEgEAAAD2mnCpjTz00ENJkjFjxuxym2XLliVpPlxat25dPvzhD+fzn/982xQIAAAA0ApcLa6NLFmyJEnSv3//Ztu3bt2a2bNnJ2k+XLr++uszaNCgXHbZZZkwYcJe1TJy5MjU1tbu1T4AAACAA1dlZWXmzJlTqK9wqY1s3LgxSbJly5Zm2++8886sXbs2PXv2TN++fZu0zZkzJ1//+tfzu9/9rlVqqa2tzfLly1tlXwAAAAAvJ1xqI5WVlVm/fn3mzJmTkSNHNmmrqanJpEmTkiTDhw9v0rZ9+/b867/+az74wQ9myJAhrVYLAAAAwK7sTXYgXGojY8eOzaJFizJ16tScffbZGTRoUJJk1qxZufzyy7NmzZokO0+J+8pXvpLa2tpWvTpc0WFtAAAAAK/Ggt5t5LrrrkuPHj1SU1OTIUOGZNiwYRk4cGBGjRqVwYMHZ/To0UmahkurVq3K5MmT88lPfjLbtm3LmjVrGkOoLVu2ZM2aNamrqyvF6QAAAAA0q6y+vr6+1EUcqJ544olMnDgxv/rVr1JWVpYhQ4bkfe97X97znvekb9++WbFiRR577LG87nWvS5I8/vjjjf+9K4sWLcrAgQPbo3wAAACAVyVcKoHVq1enZ8+eKS8vz4YNG9KpU6ckyYYNG5qdwjZmzJi8+93vzhVXXJFTTz01nTt3bu+SAQAAAJplzaUSmDdvXpKkqqqqMVhKkm7duuWss85qtk///v132QYAAABQKtZcKoEd4dIrF/MGAAAA2N8YuVQCLQ2XzFwEAAAA9lVGLpXAjnBp+PDhJa4EAAAAYO9Y0BsAAACAwoxcAgAAAKAw4RIAAAAAhQmXAAAAAChMuAQAAABAYcIlAAAAAAoTLgEAAABQmHAJAAAAgMKESwAAAAAUJlwCAAAAoDDhEgAAAACFCZcAAAAAKEy4BAAAAEBhwiUAAAAAChMuAQAAAFCYcAkAAACAwoRLAAAAABQmXAIAAACgMOESAAAAAIUJlwAAAAAoTLgEAAAAQGHCJQAAAAAKEy4BAAAAUJhwCQAAAIDChEsAAAAAFCZcAgAAAKAw4RIAAAAAhQmXAAAAAChMuAQAAABAYcIlAAAAAAoTLgEAAABQmHAJAAAAgMKESwAAAAAUJlwCAAAAoDDhEgAAAACFCZcAAAAAKEy4BAAAAEBhwiUAAAAAChMuAQAAAFCYcAkAAACAwoRLAAAAABQmXAIAAACgMOESAAAAAIUJlwAAAAAoTLgEAAAAQGHCJQAAAAAKEy61g1WrVuXaa6/NgAEDUlFRkX79+uWaa67J5s2bM2HChJSVlWXatGmlLhMAAACgxcpLXcCBbu7cuTn33HOzcuXKdO3aNdXV1Vm+fHluueWWLF68OEuXLk2SnHTSSSWuFAAAAKDlyurr6+tLXcSBatWqVTnllFNSU1OTiRMnZvLkyenWrVuS5MYbb8zkyZNTXl6eurq6bNiwIZ07dy5xxQAAAAAtI1xqQ5deemnuuuuuXH311bn55pubtNXX16e6ujoLFy5MVVVVFixYUKIqAQAAAIqz5lIbmT9/fmbMmJHevXtnypQpO7WXlZVlxIgRSZpOifvFL36RsrKynW4nn3xye5UOAAAAsMesudRGpk+fnrq6ukyYMCFdunRpdptOnTolaX69pa9+9as55ZRTGu937dq1bQoFAAAA2AvCpTby0EMPJUnGjBmzy22WLVuWpPlwqbq6OqeddlrbFAcAAADQSoRLbWTJkiVJkv79+zfbvnXr1syePTtJ218pbuTIkamtrW3TYwAAAAD7r8rKysyZM6dQX+FSG9m4cWOSZMuWLc2233nnnVm7dm169uyZvn377tT+zne+M6tWrcpRRx2VCy64IDfddFOOPPLIQrXU1tZm+fLlhfoCAAAA7I5wqY1UVlZm/fr1mTNnTkaOHNmkraamJpMmTUqSDB8+vEnbEUcckWuvvTZvfOMb061bt/zmN7/JZz7zmcyePTuPPvpo4zpNLa0FAAAAYFf2JjsQLrWRsWPHZtGiRZk6dWrOPvvsDBo0KEkya9asXH755VmzZk2SnafEve51r8vrXve6xvtnnXVWhg4dmgsuuCB33XVXrrjiihbXUnRYGwAAAMCr6VDqAg5U1113XXr06JGampoMGTIkw4YNy8CBAzNq1KgMHjw4o0ePTrJn6y2NHz8+3bp1y6OPPtrWZQMAAAC0iHCpjRx33HGZOXNmxo0bl4qKiixZsiS9evXKtGnTct9992XhwoVJ9nwx7/r6+pSVlbVlyQAAAAAtZlpcGxoyZEgeeOCBnR5fvXp1VqxYkfLy8lRXV7/qfu6///5s3Lgxp556aluUCQAAAFCYcKkE5s2blySpqqraaYHuyy+/PCeccEJOPvnkdOnSJb/5zW/yuc99Lqecckre+c53lqJcAAAAgF0SLpXAjnCpuSlx1dXV+fa3v53Pf/7z2bJlS4499tj8y7/8Sz71qU/l0EMPbe9SAQAAAHZLuFQCuwuXJk2alEmTJrV3SQAAAACFWNC7BHaES8OHDy9xJQAAAAB7p6y+vr6+1EUAAAAAsH8ycgkAAACAwoRLAAAAABQmXAIAAACgMOESAAAAAIUJlwAAAAAoTLgEAAAAQGHCJQAAAAAKEy4BAAAAUJhwCQAAAIDChEsAAAAAFCZcAgAAAKAw4RIAAAAAhQmXAAAAAChMuAQAAABAYcIlAAAAAAoTLgEAAABQmHAJAAAAgMKESwAAAAAUJlwCAAAAoDDhEgAAAACFCZcAAAAAKEy4BAAAAEBhwiUAAAAAChMuAQAAAFCYcAkAAACAwoRLAAAAABQmXAIAAACgMOESAAAAAIUJlwAAAAAoTLgEAAAAQGHCJQAAAAAKEy4BAAAAUJhwCQAAAIDChEsAAAAAFCZcAgAAAKAw4RIAAAAAhQmXAAAAAChMuAQAAABAYcIlAAAAAAoTLgEAAABQmHAJAAAAgMKESwAAAAAUJlwCAAAAoDDhEgAAAACFCZcAAAAAKEy4BAAAAEBhwqV2sGrVqlx77bUZMGBAKioq0q9fv1xzzTXZvHlzJkyYkLKyskybNq3UZQIAAAC0WHmpCzjQzZ07N+eee25WrlyZrl27prq6OsuXL88tt9ySxYsXZ+nSpUmSk046qcSVAgAAALRcWX19fX2pizhQrVq1KqecckpqamoyceLETJ48Od26dUuS3HjjjZk8eXLKy8tTV1eXDRs2pHPnziWuGAAAAKBlhEtt6NJLL81dd92Vq6++OjfffHOTtvr6+lRXV2fhwoWpqqrKggULSlQlAAAAQHHWXGoj8+fPz4wZM9K7d+9MmTJlp/aysrKMGDEiSfNT4u69996cfvrp6dq1a4444oicccYZeeKJJ9q8bgAAAICWEC61kenTp6euri4TJkxIly5dmt2mU6dOSXYOl770pS/lHe94R0aPHp37778/d911V8aOHZvNmze3ed0AAAAALWFB7zby0EMPJUnGjBmzy22WLVuWpGm49PTTT+ejH/1ovvCFL+SDH/xg4+Pjxo0rXMvIkSNTW1tbuD8AAABwYKusrMycOXMK9RUutZElS5YkSfr3799s+9atWzN79uwkTcOl22+/PYccckj++Z//udVqqa2tzfLly1ttfwAAAAA7CJfayMaNG5MkW7Zsabb9zjvvzNq1a9OzZ8/07du38fFHHnkkJ554Yu68887ceOONqampyQknnJBPfvKT+cd//MdCtVRWVhbqBwAAABwc9iY7EC61kcrKyqxfvz5z5szJyJEjm7TV1NRk0qRJSZLhw4c3aVuxYkWWL1+eSZMm5aabbkq/fv3yjW98I5deeml69eqVsWPHtriWosPaAAAAAF6NBb3byI4QaOrUqXnyyScbH581a1bOPvvsrFmzJsnOi3lv3749GzZsyG233ZZ/+qd/ytixY/Ptb387w4YNa/aqcwAAAAClJFxqI9ddd1169OiRmpqaDBkyJMOGDcvAgQMzatSoDB48OKNHj06yc7jUs2fPJGkyQqmsrCxnn312/vjHP7bfCQAAAADsAeFSGznuuOMyc+bMjBs3LhUVFVmyZEl69eqVadOm5b777svChQuT7BwuDRkyJElSX1/f5PG6urpdrt8EAAAAUCpl9a9MMWhzq1evTs+ePVNeXp4NGzakU6dOjW33339/3vKWt+T73/9+3vrWtyZpCJaGDx+eo446Kr/4xS9KVDUAAADAzizoXQLz5s1LklRVVTUJlpLk/PPPz9/93d/l/e9/f55//vnGBb0XLFiQn/70p6UoFwAAAGCXhEslsCNceuWUuKRhfaX7778/EydOzKRJk7J+/fqcfPLJ+dGPfpSzzz67vUsFAAAA2C3hUgnsLlxKku7du+e2227Lbbfd1p5lAQAAALSYBb1LYEe4NHz48BJXAgAAALB3LOgNAAAAQGFGLgEAAABQmHAJAAAAgMKESwAAAAAUJlwCAAAAoDDhEgAAAACFCZcAAAAAKEy4BAAAAEBhwiUAAAAAChMuAQAAAFCYcAkAAACAwoRLAAAAABQmXAIAAACgMOESAAAAAIUJlwAAAAAoTLgEAAAAQGHCJQAAAAAKEy4BAAAAUJhwCQAAAIDChEsAAAAAFCZcAgAAAKAw4RIAAAAAhZWXugAAAGD/tXDhwhZt/+yzz+a73/1u3vGOd6R379571KeqqqpIaQC0EyOXAACAdvPcc8/lq1/9ap577rlSlwJAKxEuAQAAAFCYcAkAAACAwoRLAAAAABQmXAIAANrNEUcckfPPPz9HHHFEqUsBoJWU1dfX15e6CAAAYP/U0qvFFeFqcQD7NiOXAACAdrN169YsWbIkW7duLXUpALQS4RIAANBunnrqqZx33nl56qmnSl0KAK2kvNQFAAAAwL6mvr4+mzZtKnUZLdKlS5eUlZWVugwOQsIlAAAAeIVNmzalW7dupS6jRTZs2JCuXbuWugwOQqbFAQAAAFCYcAkAAACAwkyLAwAA2s2QIUOyYMGCUpcBQCsycgkAAACAwoRLAECbe3FbUvN88mRt8qcVyZ+fTTZsKXVVQCk888wzueSSS/LMM8+UuhQAWolpcQBAm6h5Ppn1dPLMqqR2TVJXv/M23bskx/VMTj4uGd4vKe/Y7mUC7WzTpk35wx/+sN9d4h2AXRMuAQCtpr4++UNN8rP5ydLnX337NZsabnNrksMqktNPSM6uTjr5CwUAYL/hTzcAoFWs35x897fJvGUF+29J/mdeMueZ5NLTkgFHt259AAC0DWsuAQB77amVyWcfKB4svdzzG5Iv/7/kR39oGAkFAMC+zcglAGCvLFyRfOOXyUvbW3e/P/ljsvml5K0jkrKy1t03UDp9+/bNTTfdlL59+5a6FABaiZFLAEBhS59Pbm+DYGmHmX9qmCoHHDi6d++eCy64IN27dy91KbBfKSsry1vf+tZSlwHNEi4BAIW8uC351sPJiy0Ilq4+L7nhooZ/99T/zEueea7l9QH7ptWrV2f69OlZvXp1qUuBNte7d++8//3vz2233Zbf/e53Wb9+fbZv354XX3wxzz33XP7f//t/+exnP5sLLrgghxxyyC73U1ZWlltvvTXf//738/nPf74dzwD2TFl9vdUMAICWu++x5OcLWtbnhouS7l0arhB3w7173q/34cm1/5AcakI/7HMWLlzYou2feOKJvP3tb8/dd9+dIUOG7FGfqqqqIqXBXtm4cWO6detWqO+oUaPywQ9+MG9/+9tz6KGH7lGfFStWZNq0afmP//iP/OUvf2l8fEew9K//+q9Jku3bt+f1r399fv/73++0jw0bNqRr166Faoa9YeRSO1i1alWuvfbaDBgwIBUVFenXr1+uueaabN68ORMmTEhZWVmmTZtW6jIBaEOr1icPPZHc/1jywOMNV0Rrq6lk7eG59ckvWvZ5cq88u65hitz+qr4++fOzyYPzGkK5H89N/rQiqfMVH8ABpXv37rnjjjvyyCOP5NJLL20SLG3fvj1PPvlkHn300fzud7/LihUrmvTt06dPJk+enIULF+b9739/kuaDpQkTJjQbLEEp+f6vjc2dOzfnnntuVq5cma5du6a6ujrLly/PLbfcksWLF2fp0qVJkpNOOqnElQLQFhavSh6c27Do9Svd+7vk1AHJecP2vxE5jyxq/yu5PbwoGTM46bCffTX2u8UNweJf1uzc1uuw5Kyq5PQTLFoOsL8bM2ZMvvWtbzVZrP65557L7bffnvvvvz+PP/54Nm3a1KRPZWVl3vCGN+Tyyy/PhRdemPLy8hx22GH52te+lre//e35y1/+kne/+91J/hYsfec732nX84I9sZ/9Kbt/WbVqVcaPH5+VK1dm4sSJmTx5cuOwyhtvvDGTJ09OeXl5OnTokKFDh5a4WgBa27ya5D9/nWyra75949bkZ/OTp1Ym/3p20mXPRs2X3IvbktlPt/9xV29MFqxIhuxHF5h64PHkp0/suv259cn3Hk1qVifvODXpIGAC2C9ddNFF+c53vtM4Umnt2rX52Mc+ljvuuCNbt27dZb/a2trcf//9uf/++3PMMcfk05/+dN73vvclSc4555zG7QRL7Ov2s+/+9i9XXXVVampqcvXVV+emm25qMl/3+uuvT1VVVbZt25ZBgwalc+fOJawUgNa29PndB0uv3Pabv9p/pkg9tTLZ9GJpjv2HpaU5bhG/fnL3wdLLzXq6YYQbHAy6du2aM844w7owHDDOO++8zJgxozFY+slPfpKhQ4fma1/72m6DpVf6y1/+kn/+53/Oeeedl40bNzY+Xl9fn3/7t38TLLFPEy61kfnz52fGjBnp3bt3pkyZslN7WVlZRowYkaTplLizzjorZWVlzd52zLMFYN/3P/P2LFjaYdHKZFFt29XTmmpKeIGnUh67JbZtb3lY9LMFDaPZ4EDXv3//TJs2Lf379y91KbDXKisr8+1vf7vxSm//+Z//mXHjxmXZsmWF9ldWVpYLL7ywSfhaVlaWN7/5za1SL7QV4VIbmT59eurq6jJhwoR06dKl2W06deqUpGm4dOutt+Y3v/lNk9snPvGJJMn48ePbvnAA9trzG5L5y1ve79dPtn4tbaGUAU/t2oZpefu6x5cmG1oYFG3bnvz2z21TD+xLtm/fng0bNmT79v34qgbwV1/72tfSo0ePJMm9996b97znPYVf280t3r127dokyVve8pZceumlrVM0tAHhUht56KGHkjQs6rYrO9Lsl4dL1dXVOe2005rcHn/88fTq1SvnnXde2xYNQKuYtywpMsPtj8sbAoZ93ar1pTt2fX3D2kv7urk1xfrtT9P+oKiFCxfm9a9/fRYubMdLTkIbeOtb35oLLrggScPaSe973/tSV9eCYcsvs6urwl1xxRWN23z5y1/OEUccsdd1Q1uwoHcbWbJkSZLscrjv1q1bM3v27CS7v1Lcc889lwcffDBXXnllysuL/bhGjhyZ2tr9ZK4FwAFgyLkfzeA3fajF/errkxOHnJytG1a1QVWt57yP/jrdjurfbNvV5yWH72YZwcMr/vbvDRft/jjrNie3PLjz42PPOS9r/vLHPSu2RN74L3en1/GntbjfvAV/zrHvPbMNKoK28/IPv3tix+XXf/SjH+3x5dTvuOOOFlYFe+/VgqKPfOQjjf995ZVXZvXqYkN7dxUs7Vhj6Tvf+U4uueSSHHnkkbn88svzla98ZZf7OuGEE9Jhf7usKvuMysrKzJkzp1Bf4VIb2bEA25YtW5ptv/POO7N27dr07NmzyaUqX+muu+7Ktm3bcvnllxeupba2NsuXF5ifAUAhfV8oHg4tW/pMXty8rhWraX0vvbTr+V6Hd066Nz8bvIkOHfZsu+asrP1LVu3j/1/btLHYz3Dr5g3+n81+55WXVn81O/4+3rJlyx739XvBvmb48OEZPXp0kmTevHm59957C+3n1YKlJJkyZUouueSSJA0h1u7CpR3hLbQ34VIbqayszPr16zNnzpyMHDmySVtNTU0mTZqUpOFNaXe+9a1vZfDgwTvto6W1ANB+6jcVGy26ac1f0uvIw5Ic1roFtbK6l3Y9L23d5t33PbyiIViqq0vWNf/9y6vuq/thndJpN1/M7AteXFtsftum1X/e7ZdOsC/a1fqiu1JRUdH475729XtBKdTV1e0yrHn3u9/d+N+33nprof3vSbCUNFws6he/+EXOOuusDB48OG94wxvy29/+ttl99unTx8glCtub7EC41EbGjh2bRYsWZerUqTn77LMzaNCgJMmsWbNy+eWXZ82aNUl2PyVu4cKFmTNnTqZOnbpXtRQd1gZAMdvrkk//96sHLa/09jOPyW0fKHZ1mfb03dnJI08139bcNLaXu+GihhFL67YkNxT4krfLocmTf3w0ZWUt79ueatcmn/1hy/t97toLM/D/u7DV64G21NK1k5544oncfvvtGTduXIYMGbJHfW688cYipcFe2bhxY7p169Zs26mnntr439/97ndbvO89DZZ2mDFjRs4666zGY+8qXFq0aFGTK81BexFptpHrrrsuPXr0SE1NTYYMGZJhw4Zl4MCBGTVqVAYPHtw4hHJ34dK3vvWtlJWV5bLLLmuvsgFoBR07JKcPbHmf01rYp1T69SzhsY/MPh8sJUnlEcmgFn75V3lEMqB329QD+5JBgwbl4YcfbvzyFfY3HTt2zMknn5wk+fOf/9zitZZaGiwlTQcMjBgxouVFQxsTLrWR4447LjNnzsy4ceNSUVGRJUuWpFevXpk2bVruu+++xm94dhUu1dfXZ/r06TnrrLNy3HHHtWfpALSCsUNaFhRcetruF8Lel7y2VwmPvR+FL//Ygp9pxSHJu0fvH8EZ7K1DDjkkRx55ZA455JBSlwKF9O/fv3F00GOPPdaivkWCpSSZO3dutm3bliQZOnRogaqhbQmX2tCQIUPywAMPZP369Vm3bl1+85vf5L3vfW9eeOGFrFixIuXl5amurm62769+9assWbJkrxbyBqB0yjsm7z8rGfIqy4SUd0guPyMZ8dp2KatVVB6RHF+CgKlDWXLagPY/blE9uiZXnZP0epUltI7onHxwbNKne7uUBSW3dOnSXHnllVm6tNjaZFBqL58q99xzz+1xv6LBUpK8+OKLWbeu4WIRhx22b6/NyMHJmkslMG/evCRJVVVVOnXq1Ow23/rWt9K5c+e8/e1vb8/SAGhFnQ5J3vfG5Jnnkl8/mfyhpmE9pqRhhMq44Q1T4Q6rKG2dRZwxKPnznv893SqGHlv8CnOlctRhyXXjk3k1ya8XJU+t/Ftbx7LknaclJx+XHOovMg4i69evz89//vN84AMfKHUpUMgf/vCHlJeXp6KiIvX19Xvcr0OHDunRo0eSlgVLOxx//PHZunVrtm7d9VVboVT8KVMCO8KlXU2J27JlS+6+++5ceOGFUmmA/VxZWXJ874ZbXX1ywz0Ni1kfXpGcsx+Paj+pX/LgYclz69vneGVJzm5+sO8+r2OH5OTXNNy21yWfvrfhNdCtInnD8aWuDoAitm/fno0bd3311F31ueyyy/LSSy/lgQceaFGwlCRr165t0fbQnoRLJfBq4VJFRUXj1eQAOHB0KDtw1tQp79iwptCXf5rs+Xe2xZ1ZlfQ/qh0O1MY6djhwXgMAtNz27dstfcIByZpLJbAjXBo+fHiJKwGA4o7v3RD6tMS6zcmaTQ3/7qlehyVv3vXFVQEAKDEjl0rgkUceKXUJANAqzj85Wbk2Wbhiz7a/5cGW7b9rp4Z1q6xJBAeOo48+Oh/72Mdy9NFHl7oUAFqJkUsAQGHlHZP3nJkMPqb1931YRfKBNyVHH9H6+wZK56ijjsoVV1yRo446AOa6ApBEuAQA7KVDy5P3npm8qbr11hMa0Dv58N8nx/Ronf0B+461a9fmwQcftDgxwAFEuAQA7LXyjsn5r0s+dG5y9OHF93NoefK2kckHxiY9u7VefcC+Y9myZfnIRz6SZcuWlboUAFqJFQwAgFbT/6jkY29O5v8l+fWTe74W01GHJaNPSF5/fMM6SwAA7D+ESwBAq+rQIRl6bMPthY3JklVJzepk+QvJopXJ9rqkY4fkDccn/Y5suPU9MunQSlPqAABoX8IlAKDN9OjacDv5NQ33P3VPsnZz0q1T8s5TS1sbAACtw5pLAABAu6moqMjgwYNTUVFR6lIAaCVGLgEAAO1mwIABueeee0pdBgCtyMglAAAAAAoTLgEAAO1m/vz5GT58eObPn1/qUgBoJcIlAACg3dTX1+ell15KfX19qUsBoJVYcwkAAABeoUuXLtmwYUOr7e//+9p3sm7jphzetUs++i+X7HS/NXTp0qVV9gMtJVwCAACAVygrK0vXrl1bbX+HdqrIoS9tz6GdKtK1a9ed7sP+zLQ4AAAAAAozcgkAAGg3AwYMyP33359+/fqVuhQAWolwCQAAaDcVFRU54YQTSl0GAK3ItDgAAKDdLF++PJ/4xCeyfPnyUpcCQCsRLgEAAO1mzZo1+f73v581a9aUuhQAWolwCQAAAIDChEsAAAAAFCZcAgAAAKAwV4sDAAAKq6qqatH2RxxxRD71qU/l9NNPT58+fdqoKgDak3AJAABoN3369MkNN9xQ6jIAaEWmxQEAAABQmHAJAAAAgMKESwAAAAAUJlwCAAAAoDDhEgAAAACFCZcAAAAAKEy4BAAAAEBhwiUAAAAAChMuAQAAAFCYcAkAAACAwoRLAAAAABQmXAIAAACgMOESAAAAAIUJlwAAAAAoTLgEAAAAQGHCJQAAAAAKEy4BAAAAUJhwCQAAAIDChEsAAAAAFCZcAgAAAKAw4RIAAAAAhQmXAAAAAChMuAQAAABAYcKldrBq1apce+21GTBgQCoqKtKvX79cc8012bx5cyZMmJCysrJMmzat1GUCAAAAtFh5qQs40M2dOzfnnntuVq5cma5du6a6ujrLly/PLbfcksWLF2fp0qVJkpNOOqnElQIAAAC0nJFLbWjVqlUZP358Vq5cmYkTJ6a2tjaPPfZYVq5cmSlTpuSee+7J448/ng4dOmTo0KGlLhcAAACgxYRLbeiqq65KTU1Nrr766tx0003p1q1bY9v111+fqqqqbNu2LYMGDUrnzp1LWCkAAABAMcKlNjJ//vzMmDEjvXv3zpQpU3ZqLysry4gRI5LsPCVu5syZedOb3pSjjjoq3bt3z2mnnZZ77rmnXeoGAAAAaAnhUhuZPn166urqMmHChHTp0qXZbTp16pSkabj0hz/8Ieecc046duyYO+64IzNmzEj//v3ztre9LT/84Q/bpXYAAACAPWVB7zby0EMPJUnGjBmzy22WLVuWpGm4NGPGjJSVleW+++5rnCp3zjnnZNasWZk+fXrGjx/f4lpGjhyZ2traFvcDoPWN+/ij6XJEn6yoXZFjj319qctpdwf7+SeeA4CD1UX/9OF07Xb4X9//j93pPpRaZWVl5syZU6ivcKmNLFmyJEnSv3//Ztu3bt2a2bNnJ2kaLr344os59NBDU1FR0fhYhw4dcthhh6Wurq5QLbW1tVm+fHmhvgC0ru3btzf+ezC+Nx/s5594DgAOVnV/ff+v++v7/yvvw/5MuNRGNm7cmCTZsmVLs+133nln1q5dm549e6Zv376Nj19xxRW59dZb89GPfjQf/ehHc8ghh+T222/Pk08+mVtvvbVQLZWVlYX6AdD6Onbs2Pjvy9//DxYH+/knngOAg1WHv77/d/jr+/8r70Op7U12IFxqI5WVlVm/fn3mzJmTkSNHNmmrqanJpEmTkiTDhw9v0jZ06ND8/Oc/z0UXXZSbb745SdK1a9d873vfy9/93d8VqqXosDYAWt+n7knWbk76VPZpnB59MDnYzz/xHAAcrKZ+dXrWbdjY+P7/yvuwP7OgdxsZO3ZskmTq1Kl58sknGx+fNWtWzj777KxZsybJzleKW7RoUS6++OK8/vWvz49+9KP85Cc/yTve8Y5ccskl+dnPftZu9QMAAADsCSOX2sh1112X73znO6mpqcmQIUNSVVWVzZs35+mnn87555+ffv365ec///lO4dLHP/7xdOnSJffcc0/jsPlzzjknixcvzjXXXJPf//73pTgdAAAAgGYZudRGjjvuuMycOTPjxo1LRUVFlixZkl69emXatGm57777snDhwiQ7j1yaN29ehg8f3hgs7TBixIgsWLCg3eoHAAAA2BNGLrWhIUOG5IEHHtjp8dWrV2fFihUpLy9PdXV1k7bKyso8/vjj2bZtW8rL//bjefTRRy3yBgAAAOxzjFwqgXnz5iVJqqqq0qlTpyZtH/jAB7Jo0aJceOGF+cEPfpAHH3ww73rXu/LLX/4yH/rQh0pRLgAAAMAuGblUAjvCpVdOiUuSiy++OD/4wQ9y00035Yorrsj27dszaNCgTJ8+PZdeeml7lwoAAACwW8KlEthduJQk48ePz/jx49uzJAAAAIBCTIsrgR3h0vDhw0tcCQAAAMDeMXKpBB555JFSlwAAAADQKoxcAgAAAKAw4RIAAAAAhQmXAAAAAChMuAQAAABAYcIlAAAAAAoTLgEAAABQmHAJAAAAgMKESwAAAAAUJlwCAAAAoDDhEgAAAACFCZcAAAAAKEy4BAAAAEBhwiUAAAAAChMuAQAAAFCYcAkAAACAwoRLAAAAABQmXAIAAACgMOESAAAAAIUJlwAAAAAoTLgEAAAAQGHCJQAAAAAKEy4BAAAAUJhwCQAAAIDChEsAAAAAFCZcAgAAAKAw4RIAAAAAhQmXAAAAAChMuAQAAABAYcIlAAAAAAoTLgEAAABQmHAJAAAAgMKESwAAAAAUJlwCAAAAoDDhEgAAAACFCZcAAAAAKEy4BAAAAEBhwiUAAAAAChMuAQAAAFCYcAkAAACAwoRLAAAAABQmXAIAAACgMOESAAAAAIUJlwAAAAAoTLgEAAAAQGHCJQAAAAAKEy61g1WrVuXaa6/NgAEDUlFRkX79+uWaa67J5s2bM2HChJSVlWXatGmlLhMAAACgxcpLXcCBbu7cuTn33HOzcuXKdO3aNdXV1Vm+fHluueWWLF68OEuXLk2SnHTSSSWuFAAAAKDljFxqQ6tWrcr48eOzcuXKTJw4MbW1tXnssceycuXKTJkyJffcc08ef/zxdOjQIUOHDi11uQAAAAAtJlxqQ1dddVVqampy9dVX56abbkq3bt0a266//vpUVVVl27ZtGTRoUDp37lzCSgEAAACKES61kfnz52fGjBnp3bt3pkyZslN7WVlZRowYkWTnKXE///nPM3r06HTu3DlHHnlkLr/88qxcubJd6gYAAABoCeFSG5k+fXrq6uoyYcKEdOnSpdltOnXqlKRpuDRz5syce+656dGjR77//e/ni1/8Yn7xi1/kTW96U7Zu3doutQMAAADsKQt6t5GHHnooSTJmzJhdbrNs2bIkTcOlT3/603nta1+b//7v/07Hjh2TJCeeeGJOO+20fOMb38iVV17ZhlUDAAAAtIxwqY0sWbIkSdK/f/9m27du3ZrZs2cnaRouzZ49O+9+97sbg6UkOfXUU3PkkUfm3nvvLRQujRw5MrW1tS3uB0DrG/fxR9PliD5ZUbsixx77+lKX0+4O9vNPPAcAB6uL/unD6drt8L++/x+7030otcrKysyZM6dQX+FSG9m4cWOSZMuWLc2233nnnVm7dm169uyZvn37Nj7eoUOHxulyL1dRUZE//vGPhWqpra3N8uXLC/UFoHVt37698d+D8b35YD//xHMAcLCq++v7f91f3/9feR/2Z8KlNlJZWZn169dnzpw5GTlyZJO2mpqaTJo0KUkyfPjwJm0nnnhiZs2a1eSxJUuWZMWKFTnkkEMK1wLAvmHHyNSOHTs2+XLhYHGwn3/iOQA4WHX46/t/h7++/7/yPpTa3mQHwqU2Mnbs2CxatChTp07N2WefnUGDBiVJZs2alcsvvzxr1qxJsvOV4j70oQ9lwoQJueGGG3LllVdm9erV+ed//ud06NAhHToUW3+96LA2AFrfp+5J1m5O+lT2aVx772BysJ9/4jkAOFhN/er0rNuwsfH9/5X3YX/manFt5LrrrkuPHj1SU1OTIUOGZNiwYRk4cGBGjRqVwYMHZ/To0Ul2Dpcuu+yyXH/99fnsZz+bo48+OoMHD05lZWX+4R/+IX369CnFqQAAAADsknCpjRx33HGZOXNmxo0bl4qKiixZsiS9evXKtGnTct9992XhwoVJdg6XkuTGG2/M888/n7lz52bFihX53ve+l0WLFjUGUgAAAAD7CtPi2tCQIUPywAMP7PT46tWrs2LFipSXl6e6urrZvl27ds2wYcOSJA888ED+9Kc/5fbbb2/TegEAAABaSrhUAvPmzUuSVFVV7XRluDlz5uQnP/lJTjnllNTX12fmzJn5/Oc/n4kTJ+b0008vRbkAAAAAuyRcKoEd4VJzU+I6deqUBx54IDfddFNefPHFVFdX52tf+1r+6Z/+qb3LBAAAAHhVwqUS2F24NGzYsDz88MPtXRIAAABAIRb0LoEd4dLw4cNLXAkAAADA3jFyqQQeeeSRUpcAAAAA0CqMXAIAAACgMOESAAAAAIUJlwAAAAAoTLgEAAAAQGHCJQAAAAAKEy4BAAAAUJhwCQAAAIDChEsAAAAAFCZcAgAAAKAw4RIAAAAAhQmXAAAAAChMuAQAAABAYcIlAAAAAAoTLgEAAABQmHAJAAAAgMKESwAAAAAUJlwCAAAAoDDhEgAAAACFCZcAAAAAKEy4BAAAAEBhwiUAAAAACisvdQEAAMD+a+HChS3a/tlnn813v/vdvOMd70jv3r33qE9VVVWR0gBoJ0YuAQAA7ea5557LV7/61Tz33HOlLgWAViJcAgAAAKAw4RIAAAAAhQmXAAAAAChMuAQAALSbI444Iueff36OOOKIUpcCQCtxtTgAAKDdHHvssfnc5z5X6jIAaEVGLgEAAO1m69atWbJkSbZu3VrqUgBoJcIlAACg3Tz11FM577zz8tRTT5W6FABaiWlxAAAAQBP19fXZtGlTqctokS5duqSsrKzUZRyUhEsAAABAE5s2bUq3bt1KXUaLbNiwIV27di11GQcl0+IAAAAAKEy4BAAAAEBhpsUBAADtZsiQIVmwYEGpywCgFRm5BAAAAEBhwiUA2sWL25I1m5LnNyRrNyXb60pdUfuqq0/WbU7q/nre9fWlrYf2t217w2v/YH0N1NcnG7YkqzckL2xMNm0tdUWUyjPPPJNLLrkkzzzzTKlLAaCVmBYHQJt4cVvy+NJk0cpk2fNJ7bqmH6bLOyTH9EiOPTIZckwy+JikwwH0lUd9fbLk+eQPS5OlzyfLVidbt/2tfd2WZMp9Sb8jk9f2Ska+NunaqXT10vq21yVPLE8W/KXh5/+XNU1D1XVbks890PA7cGJlctJxSXnHkpXbJmrXJo8tbvhdWLY62fiKQOmIzkm/nslrejb8DvRwgZ+DwqZNm/KHP/xhv7vEOQC7JlwCoFWt2ZT8cmEy++lk04u73m5bXUPosvT55JFFDR8qzzghGT0oqTik/eptbXV1yW+fSX79p2TZC7vf9vkNDbfHlyY/+H3yuv7JmKqG0I3916YXk5l/anhdr928+23/sqbh9ts/J/f+Ljl1QHJWVXJY5/aotG3U1yfzljU8B4tW7n7btZuTtcuSPy5LfjQ3Gdo3OWtwMqB3+9QKALQO4RIAraK+/m8fkLe81PL+L2xMfvh4wwfyS05LBlW2eoltbuXa5Nu/aRil0VLb6pJH/5z87pnknKHJOUMOvFEsB4P5y5MZs189VGrOhq3JQ/OT3zyVvO31ySmvScrKWr/GtrR2U/Ld3zaM2GqpHaHUvGXJqIHJW07Zv4NmADiYCJcA2GtbXkr+69fJ/L/s/b5Wb0xufSg588TkwlP2n6lyDz/ZEKxt28u1pOrqk/+Zl8yrSd77xqRnt9apj7a1vS65+9GGYGhvbXox+dbDydya5LJRyaH7yV9rf1yWTP9Nsnk3Ixb31G+eaphO+J4zk+N67v3+AIC2tZ/8yQ7AvmrT1uSr/691gqWX+9Wfkm89sn8s/P3TPybfe3Tvg6WX+8ua5Es/SVaua7190ja2bU++ObN1gqWX+8PS5D9+lmwtMBKwvf3umeT2X7VOsLTDmk0N7y1Pv8rUOvY/ffv2zU033ZS+ffuWuhQAWolwCYDCXtyWfP0XSc3qttn/75c0TLHZl6+qNfNPyQN/aJt9r92c/PtDDVMG2TfV1zeM1vnjsrbZ/5+fS77xq307ZH3iryOW6trg93TrtuS2X7Tdewyl0b1791xwwQXp3r17qUsB9jMDBw5Mly5dSl0GzRAuAVDYj+cmz6xq22PMfrrhalP7omWrG6bCtaU1m5K7Zu3bAdvB7JGnGkLQtvRkbcPouH3Rus1tFyztsHVbwzTBF7e9+rbsH1avXp3p06dn9WqpIRwMTjzxxLznPe/JV7/61Tz88MN54oknsnDhwjz++OP53ve+l+uuuy5jx47NoYceutv9DB48OL/+9a/zwAMPCJj2QfvJLH4A9jXPPJf8YkHL+lx9XnJ454YPpLc8uOf9vj8nOaGyoe++Ytv25NuzWv6hushz8GRtQ4hxxgktr5O28/yG5P7HWt6vyGvgJ39Mhh6bHHtky4/XVurrG0YW7u6qkM0pcv7PrmsIs99ySsvrZN+zYsWK3HjjjTn55JNz5JH70IsaaDWHHnpo3vrWt+YDH/hARo8evcvtTjrppLz97W9Pkjz77LOZNm1avva1r2Xp0qVNths8eHB+/vOf5+ijj87RRx+dz372s7nqqqva9BxoGSOX9sKqVaty7bXXZsCAAamoqEi/fv1yzTXXZPPmzZkwYULKysoybdq0UpcJ0Op2fKhs6WCFwzsn3bu0PCTa9GJy/+9beLA29usnk7+80PJ+RZ+D+x9LNm5t+fH2FfX1yZ+f/dvok5e27/8jUe57rGFUTUsVeQ3U1Tes67Uvmb+82HTAor8Dv1iQrFjT8uMB0L5Gjx6dJ554InfddVezwdK6devywgsv5MUXm3470bt373z84x/P008/nf/9v/9340imlwdLSfLoo4/mk5/8ZNufCC0iXCpo7ty5GTp0aG6++easXLky1dXVefHFF3PLLbdkwoQJ+dOf/pSkIYkFONA89Wz7f8j7/ZJk/Zb2Peau1NUnM59s32Nu3ZY8+uf2PWZr2F7XEMTd9EDypZ8mm/+6OPWmF5NP3dswrXDNptLWWMTzGxqu6NeelqxKlj7fvsfcnV/9qX2PV5+GqzICsG869NBD88UvfjG//OUvM3DgwMbHn3jiiXzsYx/LWWedlSOOOCJHHHFEjjzyyHTu3DnV1dW5/PLLM2PGjLz0UsMfCeXl5Zk8eXLmzJmTCy+8cKdg6dxzz82aNWtKcYrshnCpgFWrVmX8+PFZuXJlJk6cmNra2jz22GNZuXJlpkyZknvuuSePP/54OnTokKFDh5a6XIBWV4oPeNvrklmtfDWuov60oiFcaG8PL2rbtW1a24vbkm/8Mrn70aR27c7tm19MfrmwYWpUkVFgpfSbp1o+cq81PLyoBAdtxrPrkj/Vtv9xH30m2bIfXD0P4GDTpUuX/OAHP8iHPvShdOjQEDM8/PDDOfPMMzN06NB87nOfyy9/+cusW/e3y+DW1dVlwYIFufPOO3PJJZekX79+mTp1amPINGzYsHz/+98XLO0nhEsFXHXVVampqcnVV1+dm266Kd26dWtsu/7661NVVZVt27Zl0KBB6dx5H1ogBKAVvLgtmdvOIzZ2+N3i0hz3lUpVx3PrGxYR3x/U1yd3PpLM/8urb7tuc/IfP9u/ropXqtfA75fsG1eOe6yNFzHfla3bGq5Ox/6ta9euOeOMM9K1a9dSlwK0gkMPPTT33ntvzj333CTJ5s2b85GPfCRnnnlmZs6cucf7WblyZa6//vqMHDkyCxY0LOy5I6iaP3++YGkfJ1xqofnz52fGjBnp3bt3pkyZslN7WVlZRowYkaTplLhly5blqquuyumnn54uXbqkrKwsixcvbvYYzzzzTC644IIcdthh6dGjR971rnfl+ef3oXHwwEFt+QulGz2zcl2xNW5aWymnJu1L06J2Z9HKloWQ67YkP32i7eppTRu2lC4Ie3Fbw6ihUqsp5e/AfhKwsmv9+/fPtGnT0r9//1KXArSCz3zmM43B0tq1azN27Nh88YtfTF1dsW9DXnrppZ0W++/Zs2dj0MS+yU+nhaZPn566urpMmDBhl5c/7NSpU5Km4dJTTz2VGTNmpHv37nnjG9+4y/2vX78+Y8aMybJly3LXXXfltttuy8yZMzN+/PjCv5wAramUI2fq65PlJf5gueWl5LkSfrjfX0Yu/brA1Mk5zzRMldvX1ZT4Z1Dq45e6hv3ld4Bd2759ezZs2JDt27eXuhRgL51xxhn58Ic/nCTZsmVL3vzmN+eRRx4pvL9XLt69Yxrd0UcfnS996Ut7XS9tR7jUQg899FCSZMyYMbvcZtmyhvHaLw+XzjzzzKxcuTI/+tGP8s53vnOXfW+77bYsX748//3f/53x48fn4osvzvTp0zNr1qzcf//9rXQWAMWtLPGoiVIf/7l1pVlrZ4eVzaxdtK/Z+lKxq4i9uC2Ztx9MeSr1a7DUr4HNLzZMZSyVUj//7L2FCxfm9a9/fRYuXFjqUoC9UF5enttvv71xRNHkyZPz8MMPF95fc1eFO/XUU/PCCw0LM1522WUZN27c3hdOmygvdQH7myVLGhYZ2NUw3q1bt2b27NlJmoZLezqE74c//GFGjx6d4447rvGx008/Pf37988PfvCDXHjhhS2ueeTIkamtLcGqm8ABacTbP5/Xvv6SZtuuPm/3lxc/vOJv/95w0e6Ps25zw0LPrzTp45/MU4/cvofVtr6j+r8hZ/3bPc22vdr5J3v+HOzq/H8/94kc+96/38NqS6NLj34Zd91vCvW9bvL/yZO//PdWrqh1VY35YIaed12zbe3xGvja17+Zf7t/8h5W2/o6deuV8yf/fpftrfU+sKvzX7N2Y4499sQ9rJb2cMUVV7Ro+xUrViRJfvSjH+X3v9/1a+nl7rjjjhZWBfuei/7pw+na7fCsqF2RY489dqf7+5pXmzlz4YUXZtCgQUmSWbNm5ZZbbil8rOaCpR1rLH3oQx/Kf/3XfyVJPvrRj+ZHP/rRLvdzwgknmD63FyorKzNnzpxCfYVLLbRxY8MiC1u2NH897DvvvDNr165Nz54907dv3xbvf/78+bn44ot3ery6ujrz589v8f6SpLa2NsuXLy/UF+CVBm/c9WIzh3dOujc/Y7iJDh32bLvmvLBmdUnf0+q7PrvLtj09/6T4c/Dii1v3+ff0w7YU/6NuzQul/fnuiT5rdz10qD1eA+s3rCvpc9Tl8N1frq2t3we2123f518jB5tNmza1aPsdf0dv2bJlj/v6mXMgqPvrVNC67Q3vY6+8v7+58sorG//7E5/4ROFlXHYXLCXJt771rXz84x9PVVVVzjrrrN1+Nt4RXtP+hEstVFlZmfXr12fOnDkZOXJkk7aamppMmjQpSTJ8+PBC+3/hhRfSvXv3nR7v0aNHnnqq2DW4KysrC/UDaM6hHXf9h8OrTZU5vKLhA2VdXcMCzruzq311qygvFN63liMO2/WQjD2ZKrSnz8Gu9lW2fWtJz39PdCg/JNu2bkx5p5ZfCap8+9p9/vy6dNp1eNYer4GK8vqSPkcdD9n90KzWeh/Y1X62v7hxn3+NHGx2tQ7prlRUVDT+u6d9/cw5EHTo2LHx3759++50f19TV1e3y7Dm+OOPb1wq5k9/+lN+9rOfFTrGqwVLO9x6662Nay69973vzTXXXNPs/vr06WPk0l7Ym+xAuNRCY8eOzaJFizJ16tScffbZTYYBXn755Y2/BC+fEtdSZWVlOz1WX198hY+iw9oAmjPr6eQ7s5pva24Ky8vdcFHDSIV1W5Ib7i12/Bl3fDHHHvnFYp1bwbbtyce+2/zl4F/t/JO9fw7eOm5Upn9y31+Y6Luzk0da+J3IYRXJIz+alvKObVNTa3l6ZfLl/9d8W3u8Bm761Idz8u0fbnnHVnTjfcmqDc23tfX7wClVfXLbsn3/d+Bg0tK1k5544oncfvvtGTduXIYMGbJHfW688cYipcE+ZepXp2fdho3pU9kny5Yt2+n+vmbjxo3p1q1bs22nn35643/feeedhT6v7mmwtOMYO8Kllx/7lRYtWpSuXVv+5RZ7T6TXQtddd1169OiRmpqaDBkyJMOGDcvAgQMzatSoDB48OKNHj05SPFzq0aNH44JlL7dmzZqdLscIUAr9SvhW1LFDUnlE6Y6fJOUdkz7dS3f8Uj7/LTF6UMv7jBqYfT5YSpK+RyY7fw3Ufo7dB14Dpaxhf/kdYNcGDRqUhx9+uPFLWmD/M2LEiMb//u1vf9vi/i0JlpKGGT6LFi1K0vBZu2PH/eAPhoOMcKmFjjvuuMycOTPjxo1LRUVFlixZkl69emXatGm57777Gr+5KRouDR48uNn5o/Pnz8/gwYP3qnaA1lB5RNKpRONe+x25b4QP/XuW7tivOap0x26JY3ok5+zZgIQkDWHFm6rbrp7WVHFI6ULObhVJz+a/RG5X/Uv4OizlsWkdhxxySI488sgccsghpS4FKOjly8D87ne/a1HflgZLrzxO586dc+KJLuywrxEuFTBkyJA88MADWb9+fdatW5ff/OY3ee9735sXXnghK1asSHl5eaqri/2FPH78+Pz6179OTU1N42OzZs3K4sWLc/7557fWKQAU1rFD8vrXlubYpw4ozXFf6Q0lqqP/UcnRh5fm2EWMOykZuwcB02t6Jv86Jum0H33OLNVr8Q3HJ83Mnm93I17b8F7Q3g7vnFQd0/7HpXUtXbo0V155ZZYuXVrqUoCCdqwT/OKLL+b555/f435Fg6Uk+ctf/tL434cfvh/9QXSQEC61onnz5iVJqqqq0qlTp53a77777tx9992NayD9+Mc/bnI/Sd7//venT58+ufDCC/PDH/4wd999dy699NK84Q1vyFve8pb2ORGAV3FGCWYyVBySnNK//Y/bnON6NtzaW5GpZqVUVpaMPzn58N8nI5sJI157VDLh9OR/ndMwImd/8objk0PaeRRdWZLTB7bvMXflsIrk5OPa/7ijBpYm1KJ1rV+/Pj//+c+zfv36UpcCFHTRRRdl2LBhu13/qDl/93d/VyhYSpIvfvGLed3rXpeqqqo8/vjjLayYtmZB71a0I1za1ZS4iy++uMn9HZdufPe735077rgjSUMC+7Of/Swf+tCHcskll6S8vDzjx4/PF77wBaveA/uMPt2Tqj7Jwna82usZJ5RuOl5zzqpK/uvh9jte9y7JSSX4MN8a+h/VcHvryGTNxobF0LtVJD324/U2u3RqGL306yfb75jD+iVHHdZ+x3s1b6xKHlucFL/kSMscWr7vhGsAB7uiIw9vu+22dO7cOZdddlmLgqWk4ersL5/hw75lH/ozff/3auHSnq6gP2DAgPzwhz9stboA2sLFb0hueiB5cVvbH6vXYcnfD2v747TE616T/G5x8sTy9jneO09t/5Eyra3LoQ23A8WbT0r+uCxZs6ntj9X50ORtI9v+OC1xXM/kzKrkly27UFhhF7wuOaJlV7wHYB/0f//v/82tt96al156qdSl0IoMhWlFO8Klly9uBnCg6tmt4cNeS6zb3PBBfN3mPe9TluQfT2sYtbAvKStL3vGGhg/9LVHkOThtQDLYOjP7nM6HNoR+LVXkNfDWEftmsPLmkxrC35Yocv4nHJ2cfkLLjgPAvkuwdODZx/5U37898sgjpS4BoF2dfkKy9Pnkt3/es+1vebDlx3jLiOT43i3v1x6O6JJcMTq57RcNU732REufg9cclVw04tW3ozQGH5P8w/Dkx3P3vE9LXwOjBzWsWbUvOrQ8+ae/S77y/5JNL+5Zn5aef89uyYQzkg77wELmtI6jjz46H/vYxxrXXQFg/2fkEgCFdShrGLkxon/b7H/8yQ1rG+3LTuzT8OG6LRYZfk3P5F/O2r+uonYwOndow60tjBrYsFbVvnCFuF05pkfyr2e3zZTHnt2SK9+UHNG59fdN6Rx11FG54oorctRRR5W6FABaiXAJgL3SsUNy2ekNayK11siCikOSS0ft2WXs9wVDj02uPDvp0YrTlkb0b/hQ3WXni4+yjykrS8ad1LAO2aGttC5Wxw4NU87e8Yb9Y8TOcT2Tq85tCJpay6DKhn327NZ6+2TfsHbt2jz44INZu3ZtqUsBoJUIlwDYax3KGqYGfeTvkz5H7N2+qvokH3tzw6Xe9ycDjk4+Nn7vr2Z1WEXy3jOTy88wYml/c8YJycQ3JwP2chrnsUcm15yXnDN03x6x9EqVRyRX//3eB82dyhuCun8724ilA9WyZcvykY98JMuWLSt1KQC0EmsuAdBq+vVMrvmHZG5NwyXa//zcnvUrK0uGHdvw4XxQ5f71gfrlKg5J3nFqw1pUDy9KfvdM8uL2Pevb+/CGtXVe/9qWLxLOvuOow5IPjE0W/qXhd2DBX5I9u1Zsw6LVZwxq+F1oi2mW7aG8Y0PQ/PrXNvwOzH56z9di6t6lIZw9bWByuFAJAPYrwiUAWlV5x+SU/g23FWuSRSuTmtXJsueT2rUNH7TL0hBEHXtk0u/IhtFKPbqWtOxWdeyRDWtRnf+6ZMHyhvOvWZ2sWp+8tL1hVEfFocmxPRq2Pb5X8tpe+2+oRlMdypLqvg235zckf1rxt9fAuk3JtrqG8Oiwir/9DgyqTI7ey1F/+5KjDkveckpD0LRwRcPC/zWrk5Vrk7Wb/vo+UJZUH9PwXvCang3Pwf4aqgHAwU64BECb6dO94bbDp+5J1m5uGJVw9Xmlqqr9dDk0GfHahhsHp57dGkayHawOLU+G92u47dD4PlCR/PNZJSsNAGhFvh8CAADaTUVFRQYPHpyKiopSlwJAKzFyCQAAaDcDBgzIPffcU+oyAGhFRi4BAAAAUJhwCQAAaDfz58/P8OHDM3/+/FKXAkArES4BAADtpr6+Pi+99FLq6+tLXQoArcSaSwAAAEATXbp0yYYNG1ptf//f176TdRs35fCuXfLRf7lkp/utoUuXLq2yH1pOuAQAAAA0UVZWlq5du7ba/g7tVJFDX9qeQztVpGvXrjvdZ/9mWhwAAAAAhRm5BAAAtJsBAwbk/vvvT79+/UpdCgCtRLgEAAC0m4qKipxwwgmlLgOAVmRaHAAA0G6WL1+eT3ziE1m+fHmpSwGglQiXAACAdrNmzZp8//vfz5o1a0pdCgCtRLgEAAAAQGHCJQAAAAAKEy4BAAAAUJirxQEAAIVVVVW1aPsjjjgin/rUp3L66aenT58+bVQVAO1JuAQAALSbPn365IYbbih1GQC0ItPiAAAAAChMuAQAAABAYcIlAAAAAAoTLgEAAABQmHAJAAAAgMKESwAAAAAUJlwCAAAAoDDhEgAAAACFCZcAAAAAKEy4BAAAAEBhwiUAAAAAChMuAQAAAFCYcAkAAACAwoRLAAAAABQmXAIAAACgMOESAAAAAIUJlwAAAAAoTLgEAAAAQGHCJQAAAAAKEy4BAAAAUJhwCQAAAIDChEsAAAAAFCZcAgAAAKAw4dJeWLVqVa699toMGDAgFRUV6devX6655pps3rw5EyZMSFlZWaZNm1bqMgEAAADaTHmpC9hfzZ07N+eee25WrlyZrl27prq6OsuXL88tt9ySxYsXZ+nSpUmSk046qcSVAgAAALQdI5cKWLVqVcaPH5+VK1dm4sSJqa2tzWOPPZaVK1dmypQpueeee/L444+nQ4cOGTp0aKnLBQAAAGgzwqUCrrrqqtTU1OTqq6/OTTfdlG7dujW2XX/99amqqsq2bdsyaNCgdO7cuYSVAgAAALQt4VILzZ8/PzNmzEjv3r0zZcqUndrLysoyYsSIJE2nxC1btixXXXVVTj/99HTp0iVlZWVZvHjxTv33dDsAAACAfYFwqYWmT5+eurq6TJgwIV26dGl2m06dOiVpGi499dRTmTFjRrp37543vvGNu9z/nm4HAAAAsC+woHcLPfTQQ0mSMWPG7HKbZcuWJWkaLp155plZuXJlkuSOO+7Igw8+2GzfPd2uJUaOHJna2tq93g/A3hr38UfT5Yg+WVG7Isce+/pSlwOUgPcB4GB10T99OF27Hf7X979jd7p/oDvYz39/UFlZmTlz5hTqK1xqoSVLliRJ+vfv32z71q1bM3v27CRNw6UOHfZskNiebtcStbW1Wb58eavvF6Cltm/f3viv9yU4OHkfAA5WdX99/6v76/vfK+8f6A728z/QCZdaaOPGjUmSLVu2NNt+5513Zu3atenZs2f69u3bnqXtUmVlZalLAEiSdOzYsfHffeU9Emhf3geAg1WHv77/dfjr+98r7x/oDvbz3x/sTXYgXGqhysrKrF+/PnPmzMnIkSObtNXU1GTSpElJkuHDh5eivGYVHdYG0No+dU+ydnPSp7JP4xRi4ODifQA4WE396vSs27Cx8f3vlfcPdAf7+R/oLOjdQmPHjk2STJ06NU8++WTj4
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Suggest a shorter sentence.

print(f'Fidelity (optimized circuit with mapomatic): {hellinger_fidelity(optimized_result, ideal)}')

@@ -0,0 +1,796 @@
{
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Mapomatic is included in Qiskit transpiler's present pass managers (as VF2Layout or VF2PostLayout) for all optimization_levels except 0.

I think we should mention it somewhere in the notebook. Maybe, we can borrow the rationale befind using standaalone mapomatic from mapomatic's GitHub.

"outputs": [
{
"data": {
"image/png": 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[General comment; not a correction request]
There are no SWAP gates in the output circuit (ghz_pm). It potentially means the layout stage found a perfect layout using the VF2Layout (Link) pass. As VF2Layout accounts for backend errors automatically, the output circuit was mapped to good qubits. This is a possible reason behind fidelities for unoptimized and optimized circuits being very similar.

"source": [
"num_qubits = 5\n",
"\n",
"ghz_small = QuantumCircuit(num_qubits)\n",
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Circuit names can be more cohesive.

Some suggestions:

ghz_5q
ghz_5q_routed
ghz_5q_routed_translated
ghz_5q_routed_translated_df
ghz_5q_mapped or ghz_5q_mapomatic

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Thank you for preparing a useful notebook. I've found two small but critical typos.

"## Start\n",
"We shall test out the method on n-qubit GHZ circuit, whose state is given by\n",
"$$\n",
"|\\psi_{\\rm GHZ}\\rangle = \\frac{1}{\\sqrt{2^n}} \\left( |0\\rangle^{\\otimes n} + |1\\rangle^{\\otimes n} \\right)\n",
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@itoko itoko Mar 29, 2024

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Suggested change
"|\\psi_{\\rm GHZ}\\rangle = \\frac{1}{\\sqrt{2^n}} \\left( |0\\rangle^{\\otimes n} + |1\\rangle^{\\otimes n} \\right)\n",
"|\\psi_{\\rm GHZ}\\rangle = \\frac{1}{\\sqrt{2}} \\left( |0\\rangle^{\\otimes n} + |1\\rangle^{\\otimes n} \\right)\n",

The coefficient must be 1/sqrt(2), not 1/sqrt(2^n).

"outputs": [
{
"data": {
"image/png": 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@itoko itoko Mar 29, 2024

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optimized -> unoptimized

I'm talking about the lines below:

plot_histogram(
    [result for result in [sim_result, optimized_result, unoptimized_result]],
    bar_labels=False,
    legend=[
        "ideal",
        "optimized",
        "optimized",
    ],
)

(note: I don't know why but wrong line is shown above)

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itoko commented Apr 1, 2024

@haimeng-zhang @pedrorrivero I'd like to use this notebook in a lecture at a university this June, so I'm happy if this PR is merged by the end of May.

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It may be little difficult to understand the structure of the notebook. I suggest making the section names a little longer or assigning numbers to them. It might be a good idea to make the notebook to follow the Qiskit pattern.

"\n",
"The second process is the primary topic of discussion in this notebook.\n",
"\n",
"Note that both of these problems are NP-hard, and hence we use stochastic algorithms SABRE and VF2, respectively. For better performance, especially on larger number of qubits, consider running each several times, using the metrics\n",
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"heuristic algorithms" might be a better word to describe these algorithms instead of stochastic algorithms.

"outputs": [
{
"data": {
"image/png": 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How about "Example with larger circuits" instead of "Bigger circuits"? I think each section title is little too short, e.g. "Start", "Build" and so on.

@pedrorrivero pedrorrivero removed the PL-3 Priority level 3/5 → Medium label Apr 8, 2024
@pedrorrivero pedrorrivero added the PL-4 Priority level 4/5 → Medium-low label Apr 8, 2024
@haimeng-zhang haimeng-zhang marked this pull request as draft May 2, 2024 13:56
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