Repository: CirQuS-UTS/QuanGuru (language: python)

Issue:
Not setting dimension of a subsystem does not cause error
Even though the `cav` is not given a dimension, below code does not raise an error (treats `cav` as number 1, regardless of frequency). It creates only uses the `qub` which by default has dimension 2. This should raise error when creating the Hamiltonian. 
```python
qub = qg.Qubit(frequency=1)
cav = qg.Cavity(frequency=1)

comp = qub + cav

print(comp.totalHamiltonian.A)
```
Compute function of system is called more than once
When we have more than 1 protocol (say n protocols) for the same system and write a calculate function for that system. The function gets calls n times. Below is the minimal working example.

```python
# create a qubit
qubit = qg.Qubit(frequency=1)

# create a second protocol for the system
secondPro = qg.freeEvolution(system=qubit)

# add the second protocol to the simulation
qubit.simulation.addSubSys(qubit, secondPro)
qubit.simTotalTime = 2*np.pi
qubit.simStepCount = 100
qubit.simulation.initialState = [0, 1]

# write a compute function for the qubit
def compute(qub, st):
    qub.qRes.result = 'storedTwice', 1
qubit.compute = compute

# run the simulation
qubit.runSimulation()

# length of results is not 101 but 202
print(len(qubit.qRes.results['storedTwice']))
```

The fix is to separate below loops into two (one for systems, one for the protocols).

https://github.com/CirQuS-UTS/QuanGuru/blob/fb87792bcca6af7710ee60183fcaf2d05693a48c/src/quanguru/classes/modularSweep.py#L115-L117


https://github.com/CirQuS-UTS/QuanGuru/blob/fb87792bcca6af7710ee60183fcaf2d05693a48c/src/quanguru/classes/modularSweep.py#L127-L129

Not setting dimension of a subsystem does not cause error
Even though the `cav` is not given a dimension, below code does not raise an error (treats `cav` as number 1, regardless of frequency). It creates only uses the `qub` which by default has dimension 2. This should raise error when creating the Hamiltonian. 
```python
qub = qg.Qubit(frequency=1)
cav = qg.Cavity(frequency=1)

comp = qub + cav

print(comp.totalHamiltonian.A)
```
Not setting dimension of a subsystem does not cause error
closes #100


Discussion / hints:

Fix patch:
diff --git a/docs/source/classes/Tutorials/1_Qubit/10_Qubit_parameterSweep.ipynb b/docs/source/classes/Tutorials/1_Qubit/10_Qubit_parameterSweep.ipynb
index 235c0c1f..bad7d708 100644
--- a/docs/source/classes/Tutorials/1_Qubit/10_Qubit_parameterSweep.ipynb
+++ b/docs/source/classes/Tutorials/1_Qubit/10_Qubit_parameterSweep.ipynb
@@ -85,7 +85,7 @@
     "\n",
     "Also, for parameter sweeps, QuanGuru can carry out parallel-processing, which means that each simulation for a set of parameters will run on the different cores of your cpu. For this, we simply set `p=True` when we call the `runSimulation`.\n",
     "\n",
-    "<span style=\"color:red\" font-weight=\"bold\"> IMPORTANT NOT FOR WINDOWS USERS : MULTI-PROCESSING (p=True) DOES NOT WORK WITH NOTEBOOK\n",
+    "<span style=\"color:red\" font-weight=\"bold\"> IMPORTANT NOTE FOR WINDOWS USERS : MULTI-PROCESSING (p=True) DOES NOT WORK WITH NOTEBOOK\n",
     "\n",
     "You can use a python script, but you will need to make sure that the critical parts of the code are under ``` if __name__ == \"__main__\": ``` We are going to add further tutorials for this later."
    ]
diff --git a/docs/source/classes/Tutorials/1_Qubit/11_Qubit_multipleTermsInHamiltonian.ipynb b/docs/source/classes/Tutorials/1_Qubit/11_Qubit_multipleTermsInHamiltonian.ipynb
index 15dca6aa..0bf24154 100644
--- a/docs/source/classes/Tutorials/1_Qubit/11_Qubit_multipleTermsInHamiltonian.ipynb
+++ b/docs/source/classes/Tutorials/1_Qubit/11_Qubit_multipleTermsInHamiltonian.ipynb
@@ -79,7 +79,7 @@
     "At this point, all the essential information are set, and we can run the simulation by `qub.runSimulation()`.\n",
     "We again set `simDelState = True` (to discard the states) and `p = True` (for multi-processing of the sweep).\n",
     "\n",
-    "<span style=\"color:red\" font-weight=\"bold\"> IMPORTANT NOT FOR WINDOWS USERS : MULTI-PROCESSING (p=True) DOES NOT WORK WITH NOTEBOOK\n",
+    "<span style=\"color:red\" font-weight=\"bold\"> IMPORTANT NOTE FOR WINDOWS USERS : MULTI-PROCESSING (p=True) DOES NOT WORK WITH NOTEBOOK\n",
     "\n",
     "You can use a python script, but you will need to make sure that the critical parts of the code are under ``` if __name__ == \"__main__\": ``` We are going to add further tutorials for this later."
    ]
diff --git a/docs/source/classes/Tutorials/1_Qubit/12_Qubit_multipleTermsInHamiltonian_multipleSweeps.ipynb b/docs/source/classes/Tutorials/1_Qubit/12_Qubit_multipleTermsInHamiltonian_multipleSweeps.ipynb
index b9d0c1d5..a8042cad 100644
--- a/docs/source/classes/Tutorials/1_Qubit/12_Qubit_multipleTermsInHamiltonian_multipleSweeps.ipynb
+++ b/docs/source/classes/Tutorials/1_Qubit/12_Qubit_multipleTermsInHamiltonian_multipleSweeps.ipynb
@@ -89,7 +89,7 @@
     "At this point, all the essential information are set, and we can run the simulation by `qub.runSimulation()`.\n",
     "We again set `simDelState = True` (to discard the states) and `p = True` (for multi-processing of the sweep).\n",
     "\n",
-    "<span style=\"color:red\" font-weight=\"bold\"> IMPORTANT NOT FOR WINDOWS USERS : MULTI-PROCESSING (p=True) DOES NOT WORK WITH NOTEBOOK\n",
+    "<span style=\"color:red\" font-weight=\"bold\"> IMPORTANT NOTE FOR WINDOWS USERS : MULTI-PROCESSING (p=True) DOES NOT WORK WITH NOTEBOOK\n",
     "\n",
     "You can use a python script, but you will need to make sure that the critical parts of the code are under ``` if __name__ == \"__main__\": ``` We are going to add further tutorials for this later."
    ]
diff --git a/docs/source/classes/Tutorials/1_Qubit/13_Qubit_multipleTermsInHamiltonian_multipleSweepsSimultaneous.ipynb b/docs/source/classes/Tutorials/1_Qubit/13_Qubit_multipleTermsInHamiltonian_multipleSweepsSimultaneous.ipynb
index 0edd8c7f..ba535aa0 100644
--- a/docs/source/classes/Tutorials/1_Qubit/13_Qubit_multipleTermsInHamiltonian_multipleSweepsSimultaneous.ipynb
+++ b/docs/source/classes/Tutorials/1_Qubit/13_Qubit_multipleTermsInHamiltonian_multipleSweepsSimultaneous.ipynb
@@ -82,7 +82,7 @@
     "At this point, all the essential information are set, and we can run the simulation by `qub.runSimulation()`.\n",
     "We again set `simDelState = True` (to discard the states) and `p = True` (for multi-processing of the sweep).\n",
     "\n",
-    "<span style=\"color:red\" font-weight=\"bold\"> IMPORTANT NOT FOR WINDOWS USERS : MULTI-PROCESSING (p=True) DOES NOT WORK WITH NOTEBOOK\n",
+    "<span style=\"color:red\" font-weight=\"bold\"> IMPORTANT NOTE FOR WINDOWS USERS : MULTI-PROCESSING (p=True) DOES NOT WORK WITH NOTEBOOK\n",
     "\n",
     "You can use a python script, but you will need to make sure that the critical parts of the code are under ``` if __name__ == \"__main__\": ``` We are going to add further tutorials for this later."
    ]
diff --git a/docs/source/classes/Tutorials/1_Qubit/17_JaynesCummingsModelDynamics.ipynb b/docs/source/classes/Tutorials/1_Qubit/17_JaynesCummingsModelDynamics.ipynb
index b64f27cb..ba466e24 100644
--- a/docs/source/classes/Tutorials/1_Qubit/17_JaynesCummingsModelDynamics.ipynb
+++ b/docs/source/classes/Tutorials/1_Qubit/17_JaynesCummingsModelDynamics.ipynb
@@ -131,7 +131,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<span style=\"color:red\" font-weight=\"bold\"> IMPORTANT NOT FOR WINDOWS USERS : MULTI-PROCESSING (p=True) DOES NOT WORK WITH NOTEBOOK\n",
+    "<span style=\"color:red\" font-weight=\"bold\"> IMPORTANT NOTE FOR WINDOWS USERS : MULTI-PROCESSING (p=True) DOES NOT WORK WITH NOTEBOOK\n",
     "\n",
     "You can use a python script, but you will need to make sure that the critical parts of the code are under ``` if __name__ == \"__main__\": ``` We are going to add further tutorials for this later."
    ]
diff --git a/docs/source/classes/Tutorials/1_Qubit/18_JaynesCummingsModelOpenSystemDynamics.ipynb b/docs/source/classes/Tutorials/1_Qubit/18_JaynesCummingsModelOpenSystemDynamics.ipynb
index 4d64bb3e..07273688 100644
--- a/docs/source/classes/Tutorials/1_Qubit/18_JaynesCummingsModelOpenSystemDynamics.ipynb
+++ b/docs/source/classes/Tutorials/1_Qubit/18_JaynesCummingsModelOpenSystemDynamics.ipynb
@@ -142,7 +142,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<span style=\"color:red\" font-weight=\"bold\"> IMPORTANT NOT FOR WINDOWS USERS : MULTI-PROCESSING (p=True) DOES NOT WORK WITH NOTEBOOK\n",
+    "<span style=\"color:red\" font-weight=\"bold\"> IMPORTANT NOTE FOR WINDOWS USERS : MULTI-PROCESSING (p=True) DOES NOT WORK WITH NOTEBOOK\n",
     "\n",
     "You can use a python script, but you will need to make sure that the critical parts of the code are under ``` if __name__ == \"__main__\": ``` We are going to add further tutorials for this later."
    ]
diff --git a/docs/source/classes/Tutorials/1_Qubit/19_SimultaneousSimulation.ipynb b/docs/source/classes/Tutorials/1_Qubit/19_SimultaneousSimulation.ipynb
index 4973cf51..028da84e 100644
--- a/docs/source/classes/Tutorials/1_Qubit/19_SimultaneousSimulation.ipynb
+++ b/docs/source/classes/Tutorials/1_Qubit/19_SimultaneousSimulation.ipynb
@@ -127,7 +127,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<span style=\"color:red\" font-weight=\"bold\"> IMPORTANT NOT FOR WINDOWS USERS : MULTI-PROCESSING (p=True) DOES NOT WORK WITH NOTEBOOK\n",
+    "<span style=\"color:red\" font-weight=\"bold\"> IMPORTANT NOTE FOR WINDOWS USERS : MULTI-PROCESSING (p=True) DOES NOT WORK WITH NOTEBOOK\n",
     "\n",
     "You can use a python script, but you will need to make sure that the critical parts of the code are under ``` if __name__ == \"__main__\": ``` We are going to add further tutorials for this later."
    ]
diff --git a/docs/source/classes/Tutorials/1_Qubit/20_SimultaneousSimulationRabiJCandDigitalProtocols.ipynb b/docs/source/classes/Tutorials/1_Qubit/20_SimultaneousSimulationRabiJCandDigitalProtocols.ipynb
index dcf1f7a7..3cd0f520 100644
--- a/docs/source/classes/Tutorials/1_Qubit/20_SimultaneousSimulationRabiJCandDigitalProtocols.ipynb
+++ b/docs/source/classes/Tutorials/1_Qubit/20_SimultaneousSimulationRabiJCandDigitalProtocols.ipynb
@@ -186,7 +186,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -195,13 +195,13 @@
        "Text(0, 0.5, '$\\\\langle a^{\\\\dagger}a \\\\rangle$')"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -228,7 +228,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -237,13 +237,13 @@
        "Text(0, 0.5, '$\\\\langle a^{\\\\dagger}a \\\\rangle$')"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -272,7 +272,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -281,13 +281,13 @@
        "Text(0, 0.5, '$\\\\langle a^{\\\\dagger}a \\\\rangle$')"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -316,7 +316,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -325,13 +325,13 @@
        "Text(0, 0.5, '$\\\\mathcal{F}(\\\\psi_{dig}(t), \\\\psi_{Rabi}(t))$')"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -360,7 +360,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -369,13 +369,13 @@
        "Text(0, 0.5, '$\\\\langle a^{\\\\dagger}a \\\\rangle$')"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -404,7 +404,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -413,13 +413,13 @@
        "Text(0, 0.5, '$\\\\langle a^{\\\\dagger}a \\\\rangle$')"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -447,7 +447,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 15,
    "metadata": {
     "tags": [
      "nbsphinx-thumbnail"
@@ -460,13 +460,13 @@
        "Text(0, 0.5, '$\\\\langle a^{\\\\dagger}a \\\\rangle$')"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -495,23 +495,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
-     "ename": "AttributeError",
-     "evalue": "module 'matplotlib.pyplot' has no attribute 'set_xlabel'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[1;32m/Volumes/T7/Dropbox/Codes/QuanGuru/docs/source/classes/Tutorials/1_Qubit/20_SimultaneousSimulationRabiJCandDigitalProtocols.ipynb Cell 17'\u001b[0m in \u001b[0;36m<cell line: 12>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      <a href='vscode-notebook-cell:/Volumes/T7/Dropbox/Codes/QuanGuru/docs/source/classes/Tutorials/1_Qubit/20_SimultaneousSimulationRabiJCandDigitalProtocols.ipynb#ch0000015?line=7'>8</a>\u001b[0m plt\u001b[39m.\u001b[39mplot(timePoints[stepSizeInd\u001b[39m+\u001b[39m\u001b[39m1\u001b[39m], ResFid[\u001b[39m'\u001b[39m\u001b[39mnRabi\u001b[39m\u001b[39m'\u001b[39m][cavDimInd\u001b[39m+\u001b[39m\u001b[39m1\u001b[39m][stepSizeInd\u001b[39m+\u001b[39m\u001b[39m1\u001b[39m], linestyle\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m-\u001b[39m\u001b[39m'\u001b[39m, color\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mb\u001b[39m\u001b[39m'\u001b[39m, label\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mRabi Model\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[1;32m     <a href='vscode-notebook-cell:/Volumes/T7/Dropbox/Codes/QuanGuru/docs/source/classes/Tutorials/1_Qubit/20_SimultaneousSimulationRabiJCandDigitalProtocols.ipynb#ch0000015?line=9'>10</a>\u001b[0m plt\u001b[39m.\u001b[39mlegend()\n\u001b[0;32m---> <a href='vscode-notebook-cell:/Volumes/T7/Dropbox/Codes/QuanGuru/docs/source/classes/Tutorials/1_Qubit/20_SimultaneousSimulationRabiJCandDigitalProtocols.ipynb#ch0000015?line=11'>12</a>\u001b[0m plt\u001b[39m.\u001b[39;49mset_xlabel(\u001b[39mr\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mTime ($\u001b[39m\u001b[39m\\\u001b[39m\u001b[39momega_\u001b[39m\u001b[39m{q}\u001b[39;00m\u001b[39m^\u001b[39m\u001b[39m{\u001b[39m\u001b[39m-1}$)\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m     <a href='vscode-notebook-cell:/Volumes/T7/Dropbox/Codes/QuanGuru/docs/source/classes/Tutorials/1_Qubit/20_SimultaneousSimulationRabiJCandDigitalProtocols.ipynb#ch0000015?line=12'>13</a>\u001b[0m plt\u001b[39m.\u001b[39mset_ylabel(\u001b[39mr\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m$\u001b[39m\u001b[39m\\\u001b[39m\u001b[39mlangle a^\u001b[39m\u001b[39m{\u001b[39m\u001b[39m\\\u001b[39m\u001b[39mdagger}a \u001b[39m\u001b[39m\\\u001b[39m\u001b[39mrangle$\u001b[39m\u001b[39m\"\u001b[39m)\n",
-      "\u001b[0;31mAttributeError\u001b[0m: module 'matplotlib.pyplot' has no attribute 'set_xlabel'"
-     ]
+     "data": {
+      "text/plain": [
+       "Text(0, 0.5, '$\\\\langle a^{\\\\dagger}a \\\\rangle$')"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAD4CAYAAADiry33AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAACJG0lEQVR4nO1dd3gVVfp+T0JCIHQIoYOFKl2KgLCyKhYE7Mqi4ip2RddefivWXeva1gL2tqhYsIAFRbqIgHSkgyT0kgYh9fz+ePMxk5uZOzP3zk1ImPd58tzcOufeOfOe73zl/ZTWGgECBAgQoOoirqIHECBAgAABYouA6AMECBCgiiMg+gABAgSo4giIPkCAAAGqOAKiDxAgQIAqjmoVPQArNGrUSLdp06aihxEgQIAAlQaLFi3ao7VOsXruiCT6Nm3aYOHChRU9jAABAgSoNFBKbbF7LnDdBAgQIEAVR0D0AQIECFDFERB9gAABAlRxHJE+eisUFBQgLS0Nhw4dquihBIgRkpKS0KJFCyQkJFT0UAIEqFKoNESflpaG2rVro02bNlBKVfRwAvgMrTX27t2LtLQ0HHPMMRU9nAABqhQqjevm0KFDaNiwYUDyVRRKKTRs2DDYsQUIEANUGqIHEJB8FUdwfgMEiA0qFdEHCBDAHTZuBKZMqehRBDhS4Ej0SqmWSqmflVKrlFIrlVK3WrxGKaVeVEqtV0otU0r1ND03Wim1ruRvtN9foDxx1VVXoXHjxujcubPja2fMmIF58+bZPj958mR07doVHTt2RJcuXTB58mRXY9i8ebOr44dDmzZt0KVLF3Tp0gWdOnXC//3f/x12mWzbtg0XXnih42ecffbZyMjIQEZGBl555RVXx61Vq1ZU4w7gHv/3f8A55wAHDlT0SAIcCXBj0RcCuENr3QnASQBuUkp1CnnNWQDalvxdC+BVAFBKNQAwDkBfAH0AjFNK1fdp7OWOK6+8Et99952r14Yj+qVLl+LOO+/El19+idWrV+Orr77CnXfeiWXLlpV5bWFhYVRjtnv/zz//jOXLl2PBggXYuHEjrrvuOgBAs2bN8Omnnzp+7tSpU1GvXj1PRB+g/HD55bydP79ixxHgyIAj0Wutt2utF5f8nw1gNYDmIS8bAeA9TcwHUE8p1RTAGQCmaa33aa33A5gG4Exfv0E5YtCgQWjQoEGZx1988UV06tQJXbt2xaWXXorNmzfjtddew3PPPYfu3btj9uzZpV7/zDPP4P777z+cXXLMMcfgvvvuw9NPPw0AOOWUU3DbbbehV69eeOGFF7Bo0SJ069YN3bp1w8svv3z4c4qKinDXXXehd+/e6Nq1K8aPHw+Ai8zAgQMxfPhwdOoUuiaXRq1atfDaa69h8uTJ2LdvX6kdw8GDB3HxxRejU6dOOO+889C3b9/D0hRt2rTBnj17cO+992LDhg3o3r077rrrLuTk5ODUU09Fz5490aVLF3z55ZcR/toBokH//kBcHDBrVkWPJMCRAE/plUqpNgB6APg15KnmALaa7qeVPGb3eNQ45ZTS96+8kn+nnFL6f7evmTEj8rE88cQT2LRpE6pXr46MjAzUq1cP119/PWrVqoU777yzzOtXrlxZ5vFevXqVIvH8/PzDpNq1a1f897//xaBBg3DXXXcdfs2bb76JunXr4rfffkNeXh4GDBiAIUOGAAAWL16MFStWuEpVrFOnDo455hisW7cOqamphx9/5ZVXUL9+faxatQorVqxA9+7dLb/7ihUrsGTJEgDcQXzxxReoU6cO9uzZg5NOOgnDhw8PAq3ljO7dgeJiIMTGCHCUwnUwVilVC8BnAG7TWmf5PRCl1LVKqYVKqYW7d+/2++Njiq5du2LUqFH44IMPUK2aP6UJl1xyCQAc9oMPGjQIAHC57MkB/PDDD3jvvffQvXt39O3bF3v37sW6desAAH369PGUj27VO3jOnDm49NJLAQCdO3dG165dXX3O/fffj65du+K0005Deno6du7c6XocAaJHQQGwpUTe6pdfgPz8ih1PgIqHK1ZSSiWAJP+h1vpzi5ekA2hput+i5LF0AKeEPD7D6hha6wkAJgBAr169HDuW21ng5sejeY0XTJkyBbNmzcLXX3+Nxx9/HMuXLw/7+k6dOh12xwgWLVqEE0444fD95ORkx+NqrfHSSy/hjDPOKPX4jBkzXL1fkJ2djc2bN6Ndu3bIzMx0/T4rfPjhh9i9ezcWLVqEhIQEtGnTJsiNL2fs3AloDdx9N331PtkeASox3GTdKABvAlittf6Pzcu+AnBFSfbNSQAytdbbAXwPYIhSqn5JEHZIyWNVBsXFxdi6dSsGDx6MJ598EpmZmcjJyUHt2rWRnZ1t+Z4777wT//73v7F582YAzKT517/+hTvuuKPMa+vVq4d69ephzpw5AEikgjPOOAOvvvoqCgoKAABr167FAY9pFjk5Objxxhtx7rnnon790nHyAQMG4JNPPgEArFq1ynIBC/2emZmZaNy4MRISEvDzzz9jyxZb5dQAMUJ6Om/XrAFOOIG++gBHN9ys9QMAXA5guVJqSclj9wNoBQBa69cATAVwNoD1AA4C+HvJc/uUUo8C+K3kfY9orff5NvpyxsiRIzFjxgzs2bMHLVq0wMMPP4wrrrgCl112GTIzM6G1xtixY1GvXj0MGzYMF154Ib788ku89NJLGDhw4OHP6d69O5588kkMGzYMBQUFSEhIwFNPPWXpAweAt99+G1dddRWUUod98AAwZswYbN68GT179oTWGikpKa7TNAcPHgytNYqLi3Heeefhn//8Z5nX3HjjjRg9ejQ6deqEDh064IQTTkDdunVLvaZhw4YYMGAAOnfujLPOOgv33HMPhg0bhi5duqBXr17o0KGDq/EE8A/btvH2yy+Bp54CatQAxo6t2DEFqFgoK99sRaNXr146tPHI6tWr0bFjxwoa0dGJoqIiFBQUICkpCRs2bMBpp52GNWvWIDExMWbHDM5z9Pj1V+CRR4CzzgJWrAAmTgT27QPi4yt6ZAFiCaXUIq11L6vnAu9dAFscPHgQgwcPRkFBAbTWeOWVV2JK8gH8Qd++wB9/AHXqALt3A1lZwLJlQI8eFT2yABWFgOgD2KJ27dpBS8dKiOxs4M8/gYsuMh6bNCkg+qMZQZgmQIAqhnPOAQoLgVatgJdeYjD2jTeYiRPg6ERA9AECVDFsLSlRbNkSaNQI6N2bLpyvvqrYcQWoOAREH6DKQGsgJ6eiR1Hx2L8fuPBCYMAA3p8+nRb9WWdV7LgCVBwCoq/E2LeP/tgAxMUXA5dccnS7KA4eBDIygNq1ASmLqFmT/vkwYqoBqjgConcJKYrq1KkTTjjhBLzwwgueP+OUU06xDG7m5+fjtttuw/HHH4+2bdtixIgRSEtLc/y8jRuBBx54CM8884znsQhmzJiBunXrokePHmjfvj0GDRqEb7755vDzr732Gt57772wn7Fw4UKMLUnUdpJnFrzzzju4+eabIx53KH7+Gfj0U6Bnz6Ob6CWHfuLE0o9feCH/AhydCLJuXKJatWp49tln0bNnT2RnZ+PEE0/E6aef7qgO6Qb3338/srOzsWbNGsTHx+Ptt9/G+eefj19//bWUGJjWGlprxJWUOrZqxfJ2L8RWWFhYRo9n4MCBh8l9yZIlOPfcc1GjRg2ceuqpuP766x0/s1evXujVi+m7M2bMQK1atdC/f3/3g/IBS5fyduxY4PXXgcsuAzyoQFQZJCcDt98O9OkDmHXk6tUDTHp1VQ5aA4cOsTgsQFkEFr1LNG3aFD17sp9K7dq10bFjR6SX1JqfcsopuOeee9CnTx+0a9fusCxxbm4uLr30UnTs2BHnnXcecnNzy3zuwYMH8fbbb+O5555DfElFy9///ndUr14d06dPx+bNm9G+fXtcccUV6Ny5M7Zu3YrHH38c7dq1wznnnIyVK9egRAEBGzZswJlnnokTTzwRAwcOxB9//AGAOvrXX389+vbti7vvvjvs9+zevTsefPBB/Pe//wUAPPSQsWP47bff0LVr18OSxCJnPGPGDJxzzjmW8sxff/01+vbtix49euC0006LmcDZ9u1AYiKwaRNw/fXAY4/F5DBHPJo2BQYPBkJrzurUAfbsqZgxlQfefx9o1oyuqwBlUWkt+lAJYoA+2htv5Mk+++yyz4s08Z49ZbexXsTNNm/ejN9//x19+/Y9/FhhYSEWLFiAqVOn4uGHH8aPP/6IV199FTVr1sTq1auxbNmywwuFGevXr0erVq1Qp06dUo/36tULK1euxHHHHYd169bh3XffxUknnYRFixbho48+wvz5S7BsWSEuv7wn+vU7EQBw7bXX4rXXXkPbtm3x66+/4sYbb8T06dMBAGlpaZg3b97hxSQcevbseVgb34y///3veP3119GvXz/ce++9ZZ5v06ZNGXnm/fv3Y/78+VBK4Y033sBTTz2FZ5991nEMXrFjB9CkCS3ZK68Enn0WuOKKsoRX1bFnD7//+ecDEyaUfnz9ekoXV0Xtm9mzGZv4808gUN0oi0pL9BWFnJwcXHDBBXj++edLkfP5558PADjxxBMPi5XNmjXrsO+6a9eurmR+rdC6dWucdNJJAIDZs2fjvPPOQ0JCTdSqBQwaNBwFBRzXvHnzcJGpSiYvL+/w/xdddJErkgesJYszMjKQnZ2Nfv36AQD+9re/lfLl2yEtLQ2XXHIJtm/fjvz8fE/SyV5Qt65REPTUU9R5uflm4KefYnK4IxaPPgrs3Uu3nhkyVXNyjP+rElas4G16ekD0Vqi0RB/OAq9ZM/zzjRpFJk9cUFCACy64AKNGjTpM7ILq1asDAOLj4z21/zvuuOPw559/Ijs7G7Vr1z78+KJFi3DOOecAsJYsFndNXBz1xouLi1GvXr3DDUBC4UW2+Pfff/dNb+aWW27B7bffjuHDh2PGjBl46KGHfPncULz4ovF/Sgrw3HPAt99yd1ezZkwOeURiwwbetm5d+vFWrahNn5lZ9Yhea2DlSv4vyp0BSqMKbuJiA601rr76anTs2BG33367q/cMGjQI//vf/wAAK1assOwJm5ycjNGjR+P2229HUVERAOC9997DwYMH8de//tXyMydPnozs7FwcOJCNefO+RoMGRpeoSZMmHR7vUolQesCyZcvw6KOP4qabbir1eL169VC7dm38+iubi3300UeW77eSLW7enE3F3n33Xc/jcYtLL6WfVjB6NPDRR0cXyQN0XQBlLfoLLuBtlO0Gjkhs3WqkGdsR/bXXAiWX4lGJgOhdYu7cuXj//fcxffp0dO/eHd27d8fUqVPDvueGG25ATk4OOnbsiAcffBAnnnii5ev+/e9/IykpCe3atUPbtm0xadIkfPHFF5bt93r27IlLLrkEp53WDXfffRb69OmNggIgL49a9W+++Sa6deuGE044wXW/1tmzZx9Or7zpppvw4osv4tRTTy3zujfffBPXXHMNunfvjgMHDpSRLAaAYcOG4YsvvjgcjH3ooYdw0UUX4cQTT0SjRo1cjccriotpyc6Zw9J/AJg2jVv4tWtjcsgjFgcOMD7VK0TD8NRTgcWLgeOOq5hxxRLitgGsiT4/n5lYo0aV35iOOEjK3pH0d+KJJ+pQrFq1qsxjRzPy8rTOz+ftb79pvWNH7I+ZnZ19+P9///vfeuzYsb4fI9LzPGuW1oDWt9/O+wsWaH3xxVpv2ODj4FwgL0/ruXPL95iC4mKtExO1Hj687HOTJ2vdqhV/p6qGJ5/kuW/eXOtzzy37/IYNfP6tt8p/bOUJAAu1DacGFn0lxZYttFYTE5lZkpIS+2NOmTIF3bt3R+fOnTF79mz83//9X+wP6gKrVwO33sr/X36ZPtvevYGPPwaOPbZ8x3LvvZQeEJ9xeaK4mN/bql5txw66dfxonXmkYeVKoHlzdtOysuilyVnr1vwdiovLd3xHAgKir6RITeXkBlgYUx450pdccgmWLFmCFStWYMqUKUgpj9XFBTZsAH7/ncVCeXl0UaxZwwXwhx/KdywlpQsVEhSMjwe++QaYO7fsc+3b89bUlrhc8PPPwI8/xvYYK1bwezVvbv27lyTBYedOkv2UKbEdz5GIgOgrKRITqWcCMMD255+Gf/pow/btvP3lF+Dqq4FatZiN9McfVG0sT0j2j0gRlCd27+bxrRZ9CY9s3Fi+Y/rrX4HTT4+dLEVREbBqFdC5M4l+x46y18HJJwOvvQaMGMGCsqeeis1YjmQERF8JIelkQnCSOXm0VgXu2MHbJk2o0ti+vbEIlrfo21dfAUOHAmecUb7HBWjNjxsHvP122edE4Kyi6gpile2zaROlD4Toi4tpuZvRti1w3XXMwLr9dgbtjzaBt4DoKyGKikj2IlkjKYQHDlTcmCoSdesC1asbDbAXLzZ85OUtW/ztt4wZ7NpVvscFWPkKWBcM1a9vzJfywqFDxv/16sXmGJJxI0QPlHXfzJ1r/DZXXcXfwqLwu0ojIPpKCNmaJiTwtlo1ICkJsJDSOSpw001c/I45hgvgqFHAgw9S5uL448t3LNOmAQ0bAnfdVb7HBYB163hr9Z1r1gRatODYygtCuPHxsTNChOg7drQn+lGjgIcf5v+1anG+fPnl0ZV660j0Sqm3lFK7lFIrbJ6/Sym1pORvhVKqSCnVoOS5zUqp5SXPVfrmo/Hx8YezToYNG4aMjIywrw8nxWun7qiUwmWXXXb4fmFhIVJSUg5XyQJGVawQPUB3hVldoE2bNtjjEKF185rKgNGjufi1acPA9Jgx3Jo/9BBw7rnlN47CQmotXXghtXbKG5JdElosJahbl43CywviLioqYvJALMh+xQrO+1q1rIm+sBBISytdKXzvvXR7lndGVkXCjUX/DoAz7Z7UWj+tte6ute4O4D4AM7XW+0wvGVzyfC/rT6g8qFGjxuGskwYNGuDll1+O+LPsNNuTk5OxYsWKw0qX06ZNO1xZKkhK4uQ2S7IWFXFCyyJwNEF8srLQXXEFF8EzzgDuv798x/Hqq4yVpKWVvy6+1sCgQfaZNTVqkOzLC4cOsUArOZkkH4vUzpUr6bYBmGJcrVppok9P57XRpo3xWHIyF57ydmVVJByJXms9C8A+p9eVYCSAiY6vqgLo16/fYZniBQsWoF+/fujRowf69++PNWvWHH7d1q1bccopp6Bt27Z4WPaPAGrVqmX72WeffTamlOSATZw4ESNHjjz83L59+3DBBefilFO6YuDAkw7LKuzcuRcXXTQEXbuegDFjxpQSJvvggw/Qp08fdO/eHdddd91hqYVYoKCA6Y7lmQEkGyC5mFNSaMnv2UN3RXlBguNz57I6tbw3SxdfTKJPTLR+PiODaaflhV9+oYrm3r10HX37rb+fn5/PzCpZ2OLimFVjJnpJrTQTPcDdnkNhe5WCb2uaUqomaPmbfRUawA9KKQ1gvNZ6guWbPeK22wAb7a6I0b078Pzz7l5bVFSEn376CVdffTUAoEOHDpg9ezaqVauGH3/8Effffz8+++wzAFwEVqxYgZo1a6J3794YOnTo4SYddrj00kvxyCOP4JxzzsGyZctw1VVXHda4HzduHNq27YEHH5yMzMzpuOKKK7BkyRI888zDOOuskzFu3IOYMmUK3nzzTQDA6tWr8fHHH2Pu3LlISEjAjTfeiA8//BBXXHFFRL+TE/bsYc/Shg1jF4AzIyuLRVLXX196e37KKfTDlmdXJUmpPOkk5o7/+Wf5FLIJfv0VWL6cCpZW2L+fWSrlhf/8B1iwgAtf06Ykeq1LN0SJBuvW0aAQix4om0tvLpYy4/nn6fKzkjOvivBz8zIMwNwQt83JWut0pVRjANOUUn+U7BDKQCl1LYBrAaCVnZOxgpGbm4vu3bsjPT0dHTt2xOmnnw6Awl2jR4/GunXroJRCgcl/cvrpp6NhSQTs/PPPx5w5cxyJvmvXrti8eTMmTpyIs0Nm4pw5c/DBB5+haVNAqb9iz569yMrKwuzZs/DKK58jIwMYOnQo6pc4SH/66ScsWrQIvXv3PvwdGjdu7NdPUgYStsjPj9khSmHbNuC331gZa7Zkr78emD+fRkF5iVkdOEBf8Rdf8P6ffwI28ka+IyeH/XIffND+Nd26GcRXHti6lcTeqxd3O5MmkZzbtfPn880ZN4LmzUtr35xxBgukQom+QQP2XD5a4CfRX4oQt43WOr3kdpdS6gsAfQBYEn2JtT8BAHr16hXWu+nW8vYb4qM/ePAgzjjjDLz88ssYO3Ys/vnPf2Lw4MH44osvsHnzZpxi6ooSKkxmJVRmheHDh+POO+/EjBkzsHfv3lLPxcWRUJYtK+2T37ePFq7ZktZaY/To0fj3v//t9et6Rn6+EXArr1iB5NCH+sPj4lhAFPLTxRQjRwJff230ay1PUl27FrjoIuCJJ4AuXaxfk5zMHZefVnU47NvHefrCCyT9Xr38jRGsXMmMHqn6BUj0339v3E9Ntbba69c/uojel/RKpVRdAH8B8KXpsWSlVG35H8AQAJaZO5UNNWvWxIsvvohnn30WhYWFpaR433nnnVKvnTZtGvbt24fc3FxMnjwZAwYMcHWMq666CuPGjUOXkKt24MCBeOWVD7F5M/DnnzNQr14jJCXVwaBBg/D99/9DYSHw7bffYv/+/QCAU089FZ9++il2lSR279u3D1tixEAlhzyskV8eEL94iTrzYWzYwHz28vSTT5hguEYuv7x81RLllIoevRWU4sJXHvUWWjMo3agRC7h692YjGD/71q5YwVTSpCTjsebNubuRQrnJk62Loxo0MObr0QA36ZUTAfwCoL1SKk0pdbVS6nqllLlr9HkAftBam6dQKoA5SqmlABYAmKK1/s7PwVckevToga5du2LixIm4++67cd9996FHjx5lmo706dMHF1xwAbp27YoLLrjA0W0jaNGixeHuVGY89NBDWLlyEYYP74onnrgXDz30LjIy6LtfvHgWzjjjBHz++eeH3V+dOnXCY489hiFDhqBr1644/fTTsV3Y0WdkZDCzo2bN8iP6kn4vpaw6gBf7li3lm074228k2qZNWby1enX5HVsIPlzdwJAhvC0PTfrMTLrSTjyR82HnTsbVJk3yr95jxYrSbhugbIrl7bcDJe2PS6F+fcPNeFTATtayIv8CmWJ7FBdrvXCh1uvXa71sGSWK16zhc2vX8q8ikJ/PsaSlGWOLBF7P8/r11hK0mzbx8cGDIxtHpPjjD63nzNH6jDO07t27/I47diy/72ef2b9m4kS+ZuXK8htXUZHWixfzuA88wNupU6P/3IMHtY6L03rcuNKP//wzj/Hjj1oXFmpdrZrW993H5xYs0HrdOv6fm8uxVSUgkCmuOhD5A4BKjQAtpIICanq0bVsx4xLrqH59WnL5+eWTRz5uHG9DW9FKu7zhw2M/BsENN9DK7N+f393OVx4LSC1BuCKgxYt5KwqbfsFq97ZoEdCsGZt2y5xMSGDu+pw50R9z3Trq2nTqVPpxs0W/bZtRSAewy9Qtt/DcXH+9UUl8NCAg+kqGuDhuz6XYIyGBJL9iBZUJt24t3/Hk5QFLlzLwWb06XTeJibyYYpiufxjimgnNkxaif/hhY0GMJQoKqJD43nt02cTFMb3TrPcSSzz9NEXNwi0u3brxNqT+LirMn8+Aa6ibas4c+s4bNODzN97IFObGjY24SjSQ2EtoApmZ6CVukZQEXHMNcPfdwGOPMRvq3XdJ/EeLEGClInpd3qWGRyCKi0mkktWSksKCkdq1mUVQ3kU6WpPgDx7krVJGmqNXP30k53f8eCpGhhZGVavGXP7WrcuneEuyf776iul8LVow8Ol3kZAd/vyTZBuuqYZkY/mZS//uu5yLoXUtW7fyNxEf+ssvA8OGMRjrh+CbLPChWTw1a/J7pqcbxVIZGVQ1bduWMQN5z6xZ5X+9VBQqDdEnJSVh7969Rz3ZZ2VRf1ssxYQEBr7EMolhirwlqlc3ioIOHqQVHwnRa62xd+9eJJlTKFxg1Chablbl7Hv2kIBExjmWMFupzZoBIk30+eexPzbA3cRddzHd0AkltXdRo7DQ+H7SlFzw1VdcdCSN85//pLWdmlpWRjgSSEBZdm5mSNHU+eczBXn3bu6wxM1Tp44xrqMlxbLSqD20aNECaWlp2F3enSSOMBQVcZLu20diVYpW9Z49/D8zkxZMXDkt4bt2Gf744mIuQLVqcTzFxYYuvBskJSWhhQfNgoICdjCya3j9ww/0xU6dai3d6ydyc7ng7d7NrBuJGcycGdvjCvbvp2sm3HmXjBxx4USLWbMM6zw0Y3f37tIFbH36cO6OHGlkSkUDIXqrvHwh+po16cp66CF+d5HzjovjvMzKOnpSLCsN0SckJOCY0IjbUQjR1d6+nVvhX38lifXvT19kdja38LEmNsGQIRzLpZdy8Vm8mK6B7t2pEvjYY7E7tliGdmmMb73FsZRHGt1f/sJCvlGjaNGLr7htWy54sV54N21ydlE1aQKceqo7q98NJk0iebZsWZboc3JKxwKGDeMup7CwtOpqpHAi+hUr6K5p2JAGUN++pV/z449cfAKLPsARiX/9C/juO+CRR3g/NZVb0cGDDeuxvKyUvXup0ggAH37IgOj8+QzINmsW+8Cw+GBDy9sF0javPJqPvP8+/dAALfrERAapW7cun92VqDSGQ926wMKF/vSNFbfN0KHc0ZkLtQoLORazksmWLXSdPPggF4errzYs7EiQlcV5ZrVoSEvBJ55gNe6nn5Z9zS+/8BwdLT0cKo2PPgCxcycn+I038r5UGg4bZmSXlFchyNKlxv8nncTUtUOHaOU3bGgsArGCyBuEFs0IxNorD6LfuJGk8fvvht84J4fB2PJw3+Tnu3OJ1KnjjxUrbpuLLuJitmWLkU5bXMx4wb33Gq9v1ozzc948FpNFOzcyM63984DRUvDPP3mtnHsu41pmfPcd0KOHoXxa1REQfSXDzp100RQU0M8oscsRI4CuXfl/eVWlNmliVFsOGcIqxEOH2Jd09+7YE70Q28CB1s+npPBCb9o0tuMAmM+/dCldVhLoe+kl9io9//zYH7+goHR/Ajvs2OFPMFbcNmefTaLPzjYMjPh4WtNmjZmEBOb4y2uiDchmZtrr5ojLqKCAr1m7tqx08+TJtOqPFgREX8mwcyeJJD6eRCto2ZJ65ABwpm2bGH/RtCl9voBRqNOtGxUDc3MN9cJYQWSF7MROmzSh2yTUPxsL3HorrcOvvzYee/pp7rz27Yu9i6BNG3cFWtWqRZ87XlRkuG2Sk43fXzJv7rmHx5k7t/T72rUz0lDLg+gBzsVVq8pKQ8yZw12olTxCVURA9JUMH35Id0316mUFosQX/OGH5TOWQYOYRgcYJKOU4R7IzY1tvGDwYP7ZJeo0bcrdTXlczBMnkuTNkshFRQaxhfYx9Rt//AGUtEAIiw4d2F81GpjdNoARI5GA7IEDdJ2EyhFfeSWbcwPRE31Wljuif/ttZt2EYvZsauXHouvVkYiA6CsRDh2ihSx5waFE/8orvF20qHzGc8stht66+aIzW0+xdN9cdx0wfbp9sPOOO0hGsW5vkJ/Pc3LoUGk30bJlxq4jlkSfnU0/9CefOL+2enWjQUqk+OQTuonENRNK9Pn5nJuhTVcuvJDprnFx/lj0dj76lBS6im67jem3VkkBDRrw1o/ircqAgOgrETZtYuekE04g4YcSfaNGvB02LPZjyc4mia5cyftmDfy//934P5ZE37Nn+ObfcXHc3cRa70as9vx8Bh0F5gUmlkS/fTvlD6ThSTjs2RNdZazWdNucc45RiJaSwliRuG6++sraPTR7NufJO+9QjiAahHPdSEvBtDR+XyuXlhB9efYrqEgERF+J0LIlMG0a8NRT3B6HEr1UxZaH6+aTT3ixCNGbravjjjMWnVimWC5dahzfCvPmkQzGjIndGACeC9nFmC16sXRHjQJOPjl2xxc5gMsvd37tnXcyIyZS7N1LK7h/f+MxpbioiUWflWVdKNehA9OD+/dnUV00CEf0AMlegq3hiP5oKZgKiL4SQSal6HOEEr34JufPj/1Yfv+dF3NODgNvofnMY8eSAGJl0RcX86+kS6MlDh4k6Ui+fazQsSObjgClLfq6dfkbNWoUW/eRuGLc6MwPHkzt/kgzs8TlYk4EAEqnWBYVWVcrp6QA//gHg7RScxAJioo478IRfXY2F6VBg6yJfsgQ4IEH/G2EciQjIPpKhM8+A04/nS4LoOwkFZIpj2YbS5YwnfPAgdIdfgT33EPJYpHG9RtmWWQ7yC5Dug3FCp9/TuLatAno1894XCnuOC6+2B9pXjvIrklcSOHw/fd0rUXqshCiD517rVrRdbN7N4nYril7x45MRX322ciODxjn085HDxjZXjNnWus/5eTQ6h8/PvJxVCYERO8D1q4tH1/fzp2lA4+hF9uFFzJfONbSq8XFdJu0bcsLymqbfugQM29iRXCyqwmnvy4WX6yJft8+Zr20alV20duwgVWg0fqkw0F+i9DgpxUkUB/pLseO6Fu35kJTWEjZi0GDrN/ftCkXgmiCseHkDwRFRSzQuu8+++cfe6z8EhcqGgHRR4ncXOZp33NP7I+1ezeJRMgk9GLr3p2+x1g3fi4uZtraiBG82Kys6jp1GKyL1aIjui52hAIYRBDrZixjxlCd0ar/+scfs2o2lkHpPn14ayfuZobETiINDtu5bsQ19fnntJLtREibNqURcPBg5BXLboi+oIBGiJ2aa/36zMj59NPYu/aOBAREHyW+/JJuhPKwDESVUog1lOgPHGDhjJsLPhrs2MHCqOHDSaJ2/ueePUnIoRK2fqCoiL5mCapZoW5djuGSS/w/vhl3303toXffLfvc448zXrF9e3it+Ggg/vZwv4VAiC9Si3rHDsZjQhd3CTz/7390JdnJMTRtahB8pGOw06I3Q1w3115r/bxSPF/Tp7tzeVV2BEQfJd57j7erVhnNQGKFRx/lhVqjBq3lUJ31DRsYiF29Orb6Lq+9RoGq/HxaV+bUSjNkIXrxRf/HkJhIjZtw7ooaNVgZ+Z//+H98M777jqRlJbVw4AAVRwsLY5ezXb06JQfcVMZK3UNoRy632LmTczB01yhEX1zMqm27z7/kEiMLKtLfI5wWveCKK3i7fLn9a374gbdHg4JlQPRRYMcOBreOP56kt2ZNbI+3bx/9vS1aWGcLCOnl5bnLwIgUo0cDH33EgNqmTfYX3Fln8XbaNP/HICmNTvL17dsDAwb4f3wzpDepOeNGkJZGXRUgdrn048fTCHBjaIgVvHZtZMfaudN67jVvTvI/cMD43wr9+7OQbe/e0oFrL3DjupG2FeH0f46mFEtHoldKvaWU2qWUWmHz/ClKqUyl1JKSvwdNz52plFqjlFqvlLrX6v2VEXv20Gr+3/9owYhvdtmy2B539GhmcVSrZn2xif8VCG/tRIucHFqGq1eT4OwyX6TUPhY9W994A3jySefin8mTywpa+Ym8PJLWwYPWFr1Ytv/4BxedWGDTJhKsm9iMpKNG6q6wI/rERC50a9eGt5B/+IG/STQNyp2IfudOQ7gtXBqpXC+BRU+8A8BJJmu21rp7yd8jAKCUigfwMoCzAHQCMFIp1Snch1QW3HorXRfjxlHPY/hwQ38cYJViLJpCjx9PJcQdO6wvtoQEw4KJZTrf+ecz+Ci+d7sLTqzttWv9d2sJUTn5pRctoopkrJp0Z2UZwVAriz41lXMjISH6IiE7tGhByV03MsWtWwPr1vH8RQI7opfP1pqFfXbo1o2pqO++666S1wpOPvqdOw2LPlyqcWoqg8axOi9HEhyJXms9C0Aka14fAOu11hu11vkAPgIwIoLPOSLRvj0t2z//JInUrg188AGtjcsvp4yrn9CaXXEuvJCBPbuLTVIdzVrxfkP88pK/beejb9qUVmbz5v4HZCWP3kmCuHp1Wt2xilmkpLDLV14etVVCERdHApw7179eraHYtMn994uLo1U9fbr34xQXk0RDM24ErVrxNeGqgJs2pXTGpEmcz5EgM5NxADu3jDmdNhzR/+9/zJozS3ZUVfjlo++nlFqqlPpWKSX9a5oDMBfAp5U8Zgml1LVKqYVKqYVHel/YDz+k1ke1alQsrFOHVlVWFq23jAz/ie3AAQbcAH6+HdHfcgtvoxWusoPWhqCUNMS2s6yqVTMakPgdv5AL2KlLkVhrsSL6efMY8F2/3rpBOQD89hurRt98099jS1/e7du9+f9vvrl0UxC32L+frjq7udeyJbOhwjWo15pkH42wmcgf2LmqzOQejuhnzqRLLVbZUEcS/CD6xQBaa627AXgJwORIPkRrPUFr3Utr3SvFTeVHBWHLFupwv/MOb087jY9fcQXJZOVKWpHSxs4viAVbo4a1oJlAmlzEKmUsJ4cXRnKyEeQMFxQT/32k1psdatUqS/JWAWjZ4cSK6PPyuKjfd5990dySJbz1Mxi7axct6PfeY1AzXOFYKKpVo+HgFXbFUgL5rcN9dlwcdwQJCdETvR3cEv2SJXQjXXNNZOOwwiuvGBk/RxKiJnqtdZbWOqfk/6kAEpRSjQCkAzB761qUPFapsW8fUyn37i19QuVC692bF7/fRRhC9HIx2W2fJfgUq0Kl6tWZTnjppUaRmJ3rBjCKlfwOiM6YUTpbYtUqBteuv750k+w+fYBjjomdH3bwYGqsf/aZ/XecPZsk72fR1MyZdDvMmcNzHU4KIhQJCZHNDyeilyIpJ3eaPB9NHr1TDr2MJRzR33orC+6iCQyH4tNPDRfukYSoiV4p1UQpbqKUUn1KPnMvgN8AtFVKHaOUSgRwKYCvoj1eRaNHD+CvfyW5DR3Kx955x/Dz9enDvPHbb/f3uEL0YsXaXWwSG4hV0VReHt02DRoYYwp30QnR+73DuOoqNrIQzJhBgh8/HjjvPMOqfOYZ7q4izRt3woQJwKuvciGxkoIAqBh5003+WvTSh3bpUmY/eclskriFVzgRvcRsnNx0TZvyXEWajRVOix6gEZKby+8Zjug3bOCYo9XGN2P1ai40Cxb495l+wE165UQAvwBor5RKU0pdrZS6Xil1fclLLgSwQim1FMCLAC7VRCGAmwF8D2A1gE+01mFEZSsHHnuMFm3HjpxIBw7Q33nCCbQoO3bkVtBvtcKuXbmAjCgJZ9tdbOL1ilVD6uXLmQv90EPG4hbOohd/rd8T/88/SzdBX7CAx3rlFWDqVOr279xJa61lS2ZCxQJLlpDAw1mxmZkkgOxs/3R35PyuWMHvOcJDmkPv3pHNTyeil11FaCFfKG69FXj9dUPW2CucXDc7dvA6cCL6Xbuc00G9ICPDMGiOtH60NuEjA1rrkQ7P/xeAZbO2ElfO1MiGdmRi2jS6DHr35v3kZAbiCgqAkSOZS9+tGydQcbF/ujP791PPW4jCieglUOo3OnYEvv2WWRuy/Q930Ynl5ffCt20bK2MFCxZwN3XDDQyMX3opt+W33soLOT7e3+ML9uzhZ1ulVgry89kw/fHHnUnQDfbuJcF36GC4Hbyc77PPjqxgascO+vftUlolhdYplbZfPy7URUWRnRcnon/tNZ6X1NTwRC81BVlZtMKjvVZXrzb+nzcvus/yG0FlrEesWWMEQ3NyOFlr1aI1060bg7E9e/KC8DN3/MsvqaH9xx8MyNr5nIXoY+WTzsujBb97N48RFxf+WEL0fmcBbdjABRbghf/HH0Y++7BhrNpdu5Yke/Ag/fSxwN699M2Hc5U1a8b5INK40ULSNMeONR7zEvxPSwPeesv7cUX+wO47bNjAW6dmM++/T4Ph3HNLk6NbOPnoRRq7Vq3wRC8L1vHH+3Otync57TRKkRxJ2TwB0XtARgYne14eif7++6kYKZOka1cSy/HH0wcZ6dbUCqefzttVq3hsO+tDXCWxKrefPJkW2ZYtjBeES3MDjAty9erIm11YwfxZixZx8RWiB4zYgOyA3njDv2Ob0a4dZSnCpU7Gx7OWYOpUf1xYM2cy2Hj55UZKp5fMkauvZizHKxGFK5YCeK4TE51Ti089FXj4YbrTZLF2C3N6rx0kEFq7dniir1+fc/iaa/xJFli9mu6ikSMNd50ZOTmsMYhlMaMdAqL3gMxMphRqTav69ddJLtJdqVs33kpZvmic+IF163gri4wd2rUjyeXlxcaikIto505eHOEsK8C4IAsL/XMnycIqny3kKe40wHAVSUVsrNJNX33VXRON1q0ZOP3pp+iPOXMmF9tatYzv6UUg7O23uevxGoR0Ivq0NI7JycBp04YxFPlMLzh4kLtoJy36lBTGzMIRvaSZ3nGHtzHYYfVqFlJKwVion37GDBbOSVP18kRA9B7QurXRAu2XX2hVmhsbtG9P8hOCjWRbaofXX+etVa9YM2rWNKQHYqHhkZnJC+T88+njDBeIBUpbXrK1jxZC2nLs337jLsrsO5bfQC70WKS7ac1eBJ06OQffpk/neKPdaWVkMAD8l7/wfo8evPXi65ZGJWI8uIUT0U+fzmsiKyt8Lv3Oncb4vRK9G0Ezrank6eSjB+j+Sknxx8pevZouqbZteW2E+ulPOIH8kJ3t727fDQKi94Cnn2ZaH8Cg7MiRRlNogJZ9p06GzoaffnK5OLOynPtcihUbi2YXEgh79FHeurXoAWDhQn/GULs2G27feCPvSyDWjBo16MbKyLBvghEtCgr45ya9cf58uriibZY+Zw6JTIhSYg+iv+4GIublZYeldXj5A+kV264d74fbYYjrsXr12BB9Tg4X3ho1nIl+1ixeW9FKSOfmciffsSO/W79+ZRf/5csNl6MYbuWFgOg9IDnZcNMcOkQffSi6dqUf3YkAvUJSCffvdyZ62UlESypWGDsWmDiREzsjw5tF75ePvl49FqUMGcIgb1paWaIHmFa5Zw8zb6Ri2E8kJrKEHjAas9th3Tp/LLmZM3ncvn15Xyp+vewUJGDvxZ21fz8XNbu5J/II4r4MR+DVqnEM9ep5940LcYfz0T/9NOMXDRo4E/1XJZU90UoVr13LxU4UW/v3Z4KA7Kqzs40G8r17l39T8oDoPeDGG42mxwsW0HoPRbduJJ/77jO21X4gMZGfXVzsPElC/dN+IjeXxFqzJi9mtxZ948b2WjBe8fHH3C19+CHdNoA10UvD6ieeiI1w1apVhgqkUzXo6NEkH9mZRYpZs0jyIuglBoAXy1isci9WrFMOvcSlZBfp9NlNm5LwnnnG/RgAdxb9kCEsnKtbl8ZFuN2WiLtF6+ZctYq3QvSitT9/Pm/nzgWmTGHx3IIFhiZVeSEgepcoKmLe8o8/csvZq5f167p25e3s2TyZXrbU4fDRRyxSApyJXlxGsdDHv+UW4Kmn+P/Bg85En5TEXdCuXf4Fh/fvpw84Pp4XTbVqzH4KhRB9zZqlXWx+IT2dFnpysrObLieHv0U0wmbZ2cwwMvfJlUXdSwxiyBDGmqTTkxs4Eb0Qu2g/OS08Tz4ZmbCaE9GLaNoxxxhGRrgitV9/5W20RL96NdNOxXXVuzfnp/jpZ8zg/aQkZtAVFHDRLi8ERO8Smzczhz4zk0RvlyYnzSVWrCAZ+SXEOXmyMTGciF4KQWKRYvnCC5SAAEheTq4bpXjBJSb6l3UjFZjduvE8dOliLVnbsiXHaNXj1A+Idd6zp/Nrk5JoZUZTSDNvHg0O8c8DdBnExwO//+7+c+rX5/nw4q5wIvoWLdg794ILSr/eDieeyArzM506XYTAiejz8uiSOnTIIHo3RVPRNpBfvZp6V9ITIDmZ81P89D/+yHP3xReMMf3nPzyPfiUoOCEgepcQ/Y5Dhzhx7JqBi/+zQwfees0TtoLWwAMPGEUuTkQvLqVYdFbKzaWFVLcux+UmFlGnDgl/4kR/xvD997zNy6PrxsptAxjWbqNGRk9TPyFE/9lnzq9NSOB5+/jjyCWbZ87k7qV/f+OxrVtJIGvXunfVac3c8fffd39sJ6LfsoU7vT17OCecXDfPPcdK4e+/9xa7cfLRy/PJye6IXjK1ZIGKFJJxY0a/ftwxZGYytfbii1lV/vnnwGWXcYEur6BsQPQuIaXmMmnsRLKkY41kNviljNexo2F9OBH9NdfQagjXGDlSDB1Kf6OMwcmiB3jBxcWxirSoKPoxCOnk5PAiciL6jAxjcfATjRvTKnO7W0hNJcmvjFDxafZsugzNMgodOvCvqMj95yYkkGS8xEx27OB7ZA6GQuZ5air/nCz6kSMpVwF42/Wai6GsINdn7druiD4lhX9OQdtwKCzkQhtK9P37c1f/5Zd0Ww4aRHdnr178vc45h8abn4WEdgiI3iXatGFKn/jywqkhpqQYwSkJFkaDgwcNTRU3RUrNm9Pq9tt1U1zMC6JrV16ogHuLXhY+P5QC5cKQba8T0QPcifiNiy/mfHArJ3BCSUueSM/Lxo3GZwguvNAowHHbVUxSG73k0TvJH3z4IW9TUvg6p/N87LGGtLeXOZGZSRK3qxsQwu7f3x3RX345G8dccon7MYRi40b63K0seoBkf/LJnCd16tAb8Mcf1GPavTvyhd8LAqJ3ifPPZ5MHmTThXAEpKQYZmas1I8XmzdwK5+bys53El/bs4WvM6o5+IDub2/6TT2YZO+DeopcL04/c/vbtaUUvXEjrNvQCE6Sm0nqtW5eLlF+BccGtt3LX5NZl8t57HE8kRK8150Bo96ZvvqFLLDnZW/vI/HxvwXqnYqm9e7kIJCfzdU6umyVLmIECeEvzdBI0q1aNC//ll7sj+j//ZJwnmrRXSWcOnYdt2vC3+PVXft++fZnxlJTExUEWulikQYciIHqXaNeOKZPSXSmcCmHjxkZloB8phWLxxMU5N8MGeOFoHVkXoXCQbXNennEhu7Ho69Y1Fh0/WgqeeCJ3VwsWcBtsZ93FxTFIKPEEv9NNRYohnHKlGYsXc0fmtSIV4O9XWFiW6H/6iXOySxejk5UbVKvmbZfjRPTx8UZQ2o3rRtJRW7XyVtWblRU+h75LF/6+M2a4I/oDB0j20VROC9FLXE6gFMn8iy+MJvLy2KZN3BmvWcMdRawREL0LFBUxO0Am+osvhn99Sooxcb77LvrjS1FMnTru/MESEC4s9Nf/l5JCYa4HHmAnHcBbMLZXL8OFEw02biS5LVvmnPHSqhV/h2uv9V/7RzTg3RJ9VhbHEok/WIgzlOjT0riIdetGi97triUhwVvjDyei37/fKJZq3JgurXCKkEL011zjjeicLPqiIjak6dbNHdF37Mg0zwMHSncm84LVqzkHrMZlrs6V3f255zIdOCmJBqRk6sQSAdG7QFwcyV1ytZ0kb1NS6D655BJuq6N1oUgecEGBO4ve3HI32gIdMw4eNGIUslNx67o5eJCZFm5SEZ0wfjzrCg4dcs6madmSZDhhgv9ZSOJ6MBO91vbE8te/0oqeNs37sWQHZSZbkR2oWZNzMzPTfVP6bt1Kz5NwcJI/OHSIx547t/QYwwVZk5I4d7ym3DoR/SefsAiqTx+SbFxceKIvLjaE5iK9Tq0ybgSymP70k2HxP/448OCD/P/dd434RiwREL0LvP8+rZQVK3jfqWmD+OileXa0ubIdOwJ33cVJ7sair1nTIGI/26TNn8+0MMDYbru16PPygIEDIyO5UCQmGlkXTtIDrVoZuyu/u1ytW8eFxEyAkyfzN+nblzUHZv+z1ixS8pLWKBCiN1v0ubn8zOuuM4wPt/7/yZPd/x4ZGZzP4Sz6f/zDaJ8pY3SaexMnchH2UrjlRPSLF3Nn8+OPRg1HOKKPi2PCRJcukTUe0ZqBVasqecD4DfLyjGvm009poOzezQDt+PHej+sVAdG7wJ9/8qTs3cv7Tiu/WEqibRFtLv20adTvcEv0gGG9RivWZEa/fhQzA2gJJSW523aafaqPPBL9OJKTjYwaN0Qv7gw/XTe5uSS/G24oLZo2ezZ/k4IC4LbbOL7rS5puKkV/7f/9n/d+qVZELwvY5s1G2qPbHdzXX1trNVnBKYc+MZEuGMnEktc5zb0OHTheL7EFJx+9XKNiCDgRPcDftGdP+9TRcEhP547byqJfu9a49s01JE2bMi03P5+GQhCMPUKQns5JsHkz79tt0wRC9KJ0Ga1F/8MPvM3Ndee6AYCff+atn0SflWWQi5MmuBlyYcbF+TOejRuNLAknom/Z0vjfLvc6EgihhMYcli2jdbh4MfVPTj+d2TayyNSpQ8MhEi14pUqTkViJf/5pjEPG5YQXX2R/XbfHBuyJftUqWrRi2MjrnL7jP//J38tL9zEni16qfcWl6IboGzTg7xaJj94u4wZgbE2kUkR/H+BO/733OHdbtiS/xLobVUD0LrBtG0+K+D8lLcoOQvRNmvACjCTLwoyuXY1tpVuLXo7pZ8ONiRMpQvXMM7RG3PjnAePCrFnTSNGMFFrzglSKf05iYuZc+m+/jfy4VuNo2JBVjmYsX06iB4x2ebm5hktFLHKvvuldu3g8cxZXmzb8LaZMMYjerUU/aBB3Im7OhRPRf/IJb2Vn49Z1c8cdrEjdudMdyebnMx4Qjuhlty2vcUv033zjrsI5FJJFJv73gweN2ETPnsauyaylU1DAFOGnniLRFxT462K1QkD0LjB0KNUPhTSdAoBC9JMn88K7++7ojr9pk5HO6ZboxRfupyZ9ZiazNW6/3ZBBcAOx6M88k5aLW6vTCpIi2bgx/0Q22g5movezQXjLliQ280KzcycJWYgeMESuZOEVy8/rArxrV1miPXSIsZt58zg/EhPdE31xsSHn4QQnopedrujF1K7N38Zp99ayJUm2uNjdTs+NcmWXLvyNJW7ihug/+IC3kUgVr1nDY8hvc9dd9MF/+CGD9ePH0yAxX4cJCbx+1qwxdpyxav0pcMzyVkq9BeAcALu01p0tnh8F4B4ACkA2gBu01ktLnttc8lgRgEKttY3m45GNMWPodnj6aU5gJxeAEL1UEUZbqCPdrAD3RC9E4ucEyswkoWzYQMvJK9GL2yktLfI0S7nYDx50dtvIseViD1f74BVffcXf1vyZIjkhCqaAQfRr1zLr5t//5rY9Eos+NLVy6lTururUoTugUSP3i6i8buNGZzltJ/kDcb3IoqeUu1z6H39kJtYpp7hrzu1Gi/6ll0rfr1PHqFK3g2TdREL0a9fyHMuO+9Ahzo2ZM406hVq1yhpcxxzD337IELp4/JybVnBj0b8DIJzG3CYAf9FadwHwKIAJIc8P1lp3r6wkL+lrTz3Fye6mVDo5mald4nf7z39ITJGiWTODMNz66IUU/Lbo8/KorZ6Z6d51IxfmypW0ZmrWjHwMO3eS0Pbtc0f0gNFWMJqdRChkZ2GOAQjRmy36Zs04FyRT648/aCx4zaW3Inr5TJFIbtTIvUUv586Ny2DnThov4XZErVqVlgVp3NjZSpe01Pvucyc658aiHzeOYxXjyo1Fv3EjiToSqWIhesGbbzLQKmm077zD1NfQtNdjj+Vxq1ePPckDLoheaz0LgO1PoLWep7WWtXA+gBY+je2IQH4+fYknnuhcNGJG48ZGZsWbbxrb20iQk2NczG4tekm380smGaAefrNm/G5OQTEzhOhPP5251tFIwmpNMsvJcU/0QsYbN0Z+3FCIvr35Il+2jPPDTMhxcfy+4ropLOR7zjvP2/FEa8YMIXV5vGFD90Q/eDBv3VRuO8373btJ8mZNfjcW/XHH8dZtVpobov/8c55vsbDdEP2DD3K8XvPoDx1iUoDMgexs6g499RQt9dNOo1HUoUNZoh86lFpJWjMLK5KUWy/w20d/NQBzyEsD+EEptUgpdW24NyqlrlVKLVRKLdztJztFicRE4LHHGFjJz3fvCklJ4ar+2GO8H00K1bZtRtGUW6I/6STehmu64BV79hitDN20ERQI0RcX8+KPRpd+5kzeZme7J3qxNO0KfiLBe+/x88xl7+ZArBnt2hnW95AhzPP2stjl5ZHkQoleiEke9+K6EQvajSyEE9G3aVNWKdWNsFnTptzd3Xsv8PDDzuNwQ/QZGaWb0NSpw6rXcKqpv/1mdLzygg0bSNRC9Bs2MOC/f3/ppiqtWvG3MKfUXnopXcEAMGkS011jCd+IXik1GCT6e0wPn6y17gngLAA3KaUGWb4ZgNZ6gta6l9a6V4rbkr1ywJQp3GpLb0m3RRUpKbzoZPJESvTFxZwgsr1zS65md4VfYl7XXsvtbcOGXMTcWvQ1atByXLcOGDbMW4FMKMzqiW6JXgKycg79wJ49JCkhepEJNvvnBW3bcjdRWEiy6tjREIVzA7F7Qsm2fn3OTenq5MV106wZ/eN2hT5mOBH9uHHA22+Xfiw1leMOlzaoFImxRg1314cbH/2OHaUlqd10mdqxg41bvLb+lMXbTPRy35xOKfPP7Eb9/Xeevx9+KJ9cel+IXinVFcAbAEZorQ/bFFrr9JLbXQC+AGAjKBt7zJvHqk43QR8ztm2jJS/WiVtLLCWFE/3mm3k/0hO5axdJRGtOWrciaSecQEuruDg6wSYzJNAlW3S3RC8VirLgRBM3MAcEvRK9nxIIu3aVjpesX0/r2M6iLyyk+65GDfrp7RrX2B0LKGvRHzxIchfLvmFDLsRucrL//JPVrF98Ef51In9gR/QHDlBArEWIwzY1ld/ZKcDZogXnhptcejdtBAsLS18jbohe7EqvhY1C9MIJ8v7ffittEIrr0Oy+adEC+NvfuCusFESvlGoF4HMAl2ut15oeT1ZK1Zb/AQwBsCLa40UCab/24YeGQJhbpKfTihR3g1OxlECIfsIE/h/piRTf7r593trhxcUZbiO/cnSzsthrVPTf3e4uAF5wQkDR6O/MmWMEBb0SvZ/iUb//XlpHXCR/7Sx6gMSQmEiy91JPYEf0PXtyjonx0qgRf2M3vmbZITr1S8jK4o7Sjug3bGAM69ZbSz/uNpf+7bdJkG5cok5EL2qt5uCm2+YjQNnv4IS1a0nUcowaNegyDd1xyPwzE31KCq+lzp1J9Nu3ezdCvcCR6JVSEwH8AqC9UipNKXW1Uup6pVRJYTceBNAQwCtKqSVKqYUlj6cCmKOUWgpgAYApWmsftBy94913udJPmuS9d+i2bTyZEkwVhT4niI++WTO2C3vtNW/HFQg51q3rPuNGICqbflSjFhWx+GfXLoPg3Vr0gKF3ExcXnchb48aGv9Ur0fvVsxbgrsZ8PpYv53ezMgTMKZaAoY/vNsvDTrny6qu5izD76AF3C6mQm7ktYbhj2xG9/KahhWtuZRCuuQa46CL3Fn1Skv3OrKiIJG8ei1uiT072LusdmnFz1VXMKgv1t8tuJ9TYGziQAdmWLXlN+SlAGAo3WTcjtdZNtdYJWusWWus3tdavaa1fK3l+jNa6fkkK5eE0Sq31Rq11t5K/E7TWj8fua9jjwAGWWp90EpuHzJ3rLc1u6FBaLBK0kkwBJ8iF9PTT1ABxKuyxgywweXneFymZWH4QvWx9d+wwPs+rRZ+VZZBTpNaLFG3VrOl+oZEFwU+LqV690j7dZct40Vs1KW/UiK8PLZpyu/DYWfR//WvpAKIXvRshQKd2k0L0doFssVLNhWnmsTpZ9CkpDAyfcYbzDsdJ56ZuXaZqXned8Zgboq9Th0WAubnepAhCiX7ECGodhS4YSUn8PUIzb+rWZexmzBhyklOVdzSo8pWxL7xAa+GZZ3hiTj7ZWyrT2WdzErRqxZPltrpSiL5mTU6gm2+OLCgqF++BA96JXqwqP/x/YoWPH29cvF4t+qwsEtPll0eu/T1jBi235s3dB8YTEkrrgkeLvDwSpNkNaJdxA3CcbdsaFv2TT1Ld0m3/3F27OH5z+iLA7B1zVykvejdSy+CkYOlk0YtfOlQWxK1Fn5vLa7NHD+fz6ZTSqzUlBy6+2HjMDdEDNAC1dh/Pysjgd2vfnvfNOzSrNqOtWtnn0pcHqjzRX3013SYDBjBDondv+gXdkm7z5gxaecmhBwyiF7/wK69E5rKQiRcJ0cvF50eDchlHXJxB0l4s+rp1ebFNncpApJXl6wY1apAQ3LptBHFxDF76kYGUnU2SloKfnBxesHZED5ROsVy/nq6CcK83Q4qlQokwL6903MGL60Yp7k7NBV9WcCL6rCyek3POKf14w4b8zZ0s+gYN+No//nDecTkR/dSpPOYddxiPuSV6Gafba1R2Z2LRx8XRDQVYF3+1alXW4Dr2WI5r504WYsZSl77KE31qaumt3JVXcpv9++/O79WaOjVnnskqNy/dmoTozS6bSCzrH3/kbVaWdx995xLBCrfNKMLh+OO5NW3UyHDjeLXoMzOBJ55gzCLS/H6p0PRK9EKCXoPxVqhRg0UuMq+kT4FVIFbQrh3Pf24uCS0vz321tFVVLMD5aCZ6r1LFKSnOcsk7dpDE7CQrrr2Wu7xQt0NcHD/fTSJAixbAG284p786Eb2Qucx7wD3Rf/IJ56ZbhdPQ1Mqff6a8RWKi9aIoFr3Z0Bg0iMVaCQnsRDd/vrtjR4IqS/RbtzLTJrRH6ciRPBnvvOP8GUVFjMT37s2L0kupslyYNWoYQdFIiF60uiPx0Q8Z4r03qB0yM0k4KSmG1eNF9ldcN7t3MwD48ceRjWPWLBKcV6KXStZIytxDsXQphavElWIlfRCKtm15kW/YAFxxBS3qZ591dzyrqlhJJTS7c2rV4tx2G4M6cMC5KbZITti5LH/5hd/H6phumoQDRi2CU0DWyUcvhtggU7WO/D5ORP/LL/wt3GowrVnDxUx2zcuWMW144MDStR6Cli1pZJh3DD17kuhr1459imWVJfp580gKoYGR+vWZPfLdd87b+F9/JVELKXkhl1q1aG1lZRlbuUhOZEqKQVJeib53b14YfgibTZ/Oi0Es8zp1vKlB1qnDIKzkj0cq3SwWrFeil3M9Y0ZkxzVjwwa6GuT7L1vG823lmxWYM2/WruXvMGeOu+NZWfQFBSy6MjdyUcpb0VS1as6S204uy+xspvFavcaNDALAmEVCgjPRO1n0kuJqbmQSH89z40T0S5YwdufWdbN2LWVGJANowwYStl0HNasUyz17GKidMCEg+oixbBkn8gknlH3uxRdphTkFf4QgxT/t1CvWDKWMXPqxY7nKRyKqlZZmuH+8um4SE3lcPwqmzjqLsY1nn/WmcyMQS0wspki1f6Ti0CvRSy67HxlIU6bwVubP8uV0F1hZcqHHX7eOr8vNdVc4prW1RHFiIq3H0FRDL3o3WjsXCYUjeq2pf7Rhg/V3dyODADAwXLu281ic5p1cX6GF9W70bpKSaHH/73/O4wXKZtysX0+DzI5ThOjNZN6gAV3DvXoFRB8xli7lltCqSCY11V3xjFgYIvlrPrFuIET/8cfswvPAA97eD9ACkO21V4seMATIosXu3Qw+nnSSN50bgRC9bKUj3WVIzMIr0YtMQGgaYCSQtEhxxyxbFt4/Dxia5VJkA7gj5MxMWu9WPvqPPuKu1QwvejdZWc4SvuGIPiuLuzS7XZJb18327XSphbpZzSgu5u4hnOtGfqNQoq9d25noJdfdTT6/1mWJ/vjjGZB/7z3r91hVx0pRY+fOTLlt3jzybDQnVGmiD3fxTZrEHqjhftht27ggyORy2uaGQoi+YcPIXRV16hgCZZEQfVoa/ftee5SG4vXXWVOwYUNkFr25yxQQmWVdUGCQmFeiF7Lyozm5UvweNWpwwdq/310GTbt2nAe1anGX5ibd0y6Hfs4ckqy0qxR4seh79Qq/S3WSP5AFzy7HvnFjxracAuAdOzKQKXIhVhAXbDiilxqX0LnpxqIX96ib3277do7HTPQ33sjrws6dmZrKcx6aGDFkCFO4//EPJoi4lTjxiipJ9Hl5tNz69bN/TVERo9zmPORQnHUWJ2DPnrzvJb0SMIj+7beB4cONJtFeMH58dEQvbp9oXRbbt3NRnDmTxBapRZ+QQPfPgw96H4NZ1NSrEqVclNE2agfoLhFilzx06Q3qNAbJ1ujenTnYThacXVVsejqt8dDG2l589EVF/Hy7YH1ODp+zm/eyK7PTknfbOzYhgbvvcM253QiaderErk6hLk43RD90aNmdgB1CM262bGHBF2Afp4mLs3bPpKYGzcEjRvXqLIAIZyEMGMDbuXPtX9OtG/3rYrlEQvS7dvFC0JqZPl7zuO+4w+h16tVHDxgXj5cGzFYQkm3cmFZ1uIvSCnKB5uTwgnTK37aCEEtSkvdKYyHKVau8HzcUv/1mjGX+fBK/G+XDtm1JellZXCAkjhQOdha9nM9QkpCmLG4qPE8+mefDLhPJKYdeXC1iDYfCbdEUwMLGxx+3X/iEqMNlej37LLtFSe9agRui37WLO6Rw7iNBKNEXFBhGWLgGKlZFU9IcfPt2ZqM5icxFiipJ9GZozTznJ59kebRcAC1b8ocPl/lw0knAhRdywZD2aF6QksItnrwvL8+bnsX69ZwYubmGAqRXCKEuXBj+dU4QMoiW6LOyaHX985/eJQnk9ZHsbCRIFk2nL8FppzEQCjATqWdPdzEfc//Yp55i9pcThCRD554sNKGqkQ0buhc2k9x3OxJ0IvpRoxi8/PvfrZ93K4MA8Pz8/rt9kN6NRb9wYWmhOYEboo+PZ/q0GIDhsHYtFxP57Y8/nrv/hITwMgYtW1oTfUEBr/FffvHHELFClST6m2/mVuruu+mD7NKFjQCeeAJYvdp43YABRumzFe69l68pLqbfz6v/TLaC5vx7L9u0TZu4OBQX01USLqvDDqI0GW1LwYsu4m3duiTLaIh+1ChqgngNyIqlFsluAPBPpnjSJBJcQQHJJZyL0AxziuW+fdypff55+PcI0Yfmd0uCQKil76U6VnYFdha3k85NZiYD9HbxEi8Wvfw25uvTDCmwC0f0NWpYu07cEH3DhrSqRfE1HNau5e5MrseHH+acGDnSud1ienpp6YtBg7gTqVePY4iVG6dKEv38+TxpTz/NQM+ECaxcA7hqCoYO5Q9t5aMsLGSTDPFFew3+AaWJXgq0vJxIIcK4uMjcNgC1P4DIrGAzJJgsi100RC8Ln1f5ZGkoEWnP2YYNo89qkLqIJ55gfOfQISOG4oTjjqPlunYtg2/5+c7CZjt3ctyhRkbz5rQgQ+eFF70bIXo7t56TRf/AA0x3tatylvnv5jxL4oRdzMyNRR8XZ+1CE6J3cptecQVw113OYw3NuFmyhDu6d98N/75WrUjy5nPeuTOrixMTY5tiWeWIvrCQrhpJKRw5khoUf/kLLxgz0Y8aBUycaE0c69bRWpo8mRdnJGl5Ym1lZhqytm5atwnM7pJIibqoiBdAtIVCU6cyoCyLoteFp2ZNWjtZWcDixXzMq2ywbJW9prkKcnOjzz6aNo3b77Q0o2TdLdEnJfFiXr/ecDHYWbACO/mDJ5/kQiEuJIEXGQQJKNtJb+/cadSDWGHjRtap2C361avTUHJD9NJD124Rd+Oj37zZOuYmvRCc3HZff21UsduhsJCZZ+Y5uGGDu4w8qxTLvXv5nd56KyB6T1i3jhezWCmyyirFC9JM9AKrbZ28f//+yLRVAOMC2b2bW8J+/She5BabNtFqy86OnOglb93Kd+kF06ax9ZxYil4teokxZGUZKX3Ses0tRDvdraskFH700RVdm/btOZeaNfPmSmrZkouExIqc8titiqUA7lBvu63sd/HiuhFXmJ3uk91uQpCWRp90uMJDt7n0TZpwrs+ebf28G9dN/frWPnK3eje1a3PxDGf5b9pkNHgHjKKzb791XiSsqmMbNOCiffLJdBW/8EL4z4gUVY7oZesnW/TbbzeeO+kkWlDmQNWoUfyRQyFEf/rptIoj0Yo2E/3EicxF94KMDPqBd++O3HUTH0/LystOIhRFRRSdmjbN2GV4JXrAkE+QKlGvEq3STDnSlsKjRvE2mgwks6b8/PmcU27lkgEaDOnpxnxy2tXYWfRXXEFF1FCfsBfXjcQs7MS0nOQP0tOdlVHdVscqRevfzup2Y9EnJVk3fnFL9OKmDWcIiMEkvXYPHaJyZ1GRc8qxVXWsUsAtt3Be9O8PDB4c/jMiRZUj+tRUEkn16rygu3UzLBaxBH/91Xh9+/a00kKzFMQ/ftllXLVFktYL6tallSKpiddfT3+cW7zxBq2F3NzofOxaRya/IMjMpKXx0kuRW/SAYdGLBdy9u7f3i/spknMBGNt6L/1aQ5GRYbjhNm70vrto0YJzSwjUaTdgR/SHDlGCO9TVIcVYbix62aVK1XAowhH9wYMkN6uxmdGkiftYzMaNpRt7m5GVxYXJLrupqIi7b6uFwE3fWMBIjQzX5zaU6GvUMOSJw2kdARxb3bplM2/OPptNkWKJKkf0p5zCi6NlS1pNQ4ca+fR9+tBfbXbfnHwyiTDUqhkyhBakFNhEQi4iMrV7N/1/X31lP5GtsGkTySkjIzqir1bNfZMLK0i8o0EDg+gj2WEI0ffqRX/qlVd6e79cqF40h8wQa9GpT6rTGHr2NLKY3PrnBc2bcxxxcZxjI0favzY/n6QTSqbFxTwPVu44L8JmPXqw6Yddb4BwRC+GkJNLMzXVyBBywowZbEpjVQPgJH+wbRvnllXWi1uLXuZjOKJftYoLgrhE337bcMeGy6EXWOnSizsvlqhyRD93LolJUsJeecXQn6hdm1FuM9H37cvJEZpP36QJJ/FZZ/F+pG2+pDpWtm3btrlvV3b++cDo0STpaIheSsK99sQUyMRPSSHBJCVFlvkiRF+9OpssvPGGt/fL+L3KLwgidRmZIbnQ8+dzAT3xRG/vF2Lcto2L/rnn2vuEzUVqZmRm8j12xT1u9W6qVWM+v12RTjiiF/++VITaoUkTjteN6/D554EPPrCWTnaSKBZjxCoP3i3RFxRw8QvnHlq5srRQYqtWPKdu43h2ufShaZd+o0oR/d69RhaCSAsPGEDLWJoa9OtH142QbXIyXQih0foLL2RRjyBSd4G5OhZg7MDNVvbQodIZGZH66AEjW0Uq+rxCrI0mTeijj8RtAxhdpuLiKIFw333e3h8fz/d68YmbIQG0aGSbzzqLGSK//MJ547VTlpBBejozwWrUsJ8PdsVSQuJ2xOdW7yY/n4kLVn520aixI/rUVGZPSX2FHdzKIACGf93sWhVkZYUnYAnsW8Ub3BJ9rVqcX3ZV10VF/K3EbQOQbx57jLFAN3U2dhZ9UZH7nU8kqFJEL3rUtWuXJubHHmN+rNYk+szM0iR6771l5RLuuYc+t1q1IquKFYRa9IC7bZqcdPFJRmPRS4An0qpQIaeePSOrihWYC1f+/vfIctojzaEHDEss0kYs2dlcrO66i+6fSLJ/ZNFNSzOCynYXuJ38QVISz4FdIZNb1021arwWrBY+pxz6998Hxo1zrgj2QvSiF2SXGRfOopeqaStxObdEP2QIM2DsdtwbNnBhlHlUUMDzsGYNd0Zu0LIlz435Whw8mIkaoT2B/YQroldKvaWU2qWUWmHzvFJKvaiUWq+UWqaU6ml6brRSal3J32i/Bm6Fn37irajYCS67jNasuYrRvPJfeCFwwQXG/eJiunhkcjVuHLmqnBB9kyb00/fs6W6LJtkYQmzREP3pp/M20hzyunWZpjpiBIk+0t2FZN0IDhzw1tpP3D6RQlw3kS54K1eyiO5vf+PYvfrnAcMASU83MsK8En2LFtydmC1LM9y6buLijF66oZAx2RH9hx9yPjsVIcli5MZaFQK1an3p5KMXcrZypclOwIno169nYPrJJ62fl5iIjHPlSs5fydN3AzH4zMZe27YMyLr9jEjg1qJ/B8CZYZ4/C0Dbkr9rAbwKAEqpBgDGAegLoA+AcUqpKGs07TFpEm9vuaX04xdeyIj9Bx/wR23QoKzVsGSJkZ2zdy/1K1as4DYuUrcNQKLPyuLqHxfHRg1uCEKI/oYbeBuN60YWlkj08AHmCI8uWaKjteilZ6rsvtxuV4VQRNIhEiQmcsGOtJ2g+I5lRxCJRZ+YyDmRnm7MQbuevnbKlQUFjCmNH2/9voYNeZ7cEEejRkYcyurY4Vw3TZo4pxR6sejFvSnNZcxwsujlnFodp3p1o9tbOMjn27VXFB0acTFJ9taNNwKPPhr+swVWRVP793PX7Ka9aaRwRfRa61kAwl0eIwC8p4n5AOoppZoCOAPANK31Pq31fgDTEH7BiAoSZLviitKP16tHS2z9evvCqdGjaakVFRkr97XXcoJEGogFjIt0zx5u7+yshVAkJHDiS9pnNBa9WLJu26SFonVrppAlJUXnozenuclv6jb1LiODrh67VEC36NPHW5N3MySHPj+f59Upnc4OkksvAU27wrFduzj/Qn3TL77IBcsuiNqokXths2rVrAumnIh+7Vp3xocXom/UiHGbn38uu+t18tFLgN4uXbVu3fDZNIBxrdrthlauLJ1xs3Ah/9fafeW8XdHUa6/RdRQr+OWjbw7AHGJIK3nM7vEyUEpdq5RaqJRauNssPO4SBw/yB+/e3drN8sEHbAG3ejWJftWq0hfCP//JQMtHH1FoKimJvv2srOgteoDumw8/JEmKlR4Ow4ZxURIXUzREL5M/UtfN55/Th1i9evQWPcDfVLRN3DZzkUDy++9HdmxBly4MdEdSHStZLunp3gulzGjRglt3WSjsyGnHDhJl6HF27OBctyv88lI0lZ9vNDc3w243IVi1yl0cQGQQ3OzclKJL6vffyy4MTq4bscLtdhjiQg0Hab1pt0CGZtwMG2bsdN0u+s2b83uGFk1deGF08ScnHDHBWK31BK11L611r5QISh9r1iQZfPml9fNJSXTPdOtmnHBzdP/880k+Dz8MfPopo+krVnDCRWPRm4legsChzSLssGAB8/ylwXGkkGyVSHN1p0zhBZubS6s6UjeSWF1ZWQbBuw2MitUZjQsL4GILRFYdu3Mnrcpdu5yzTcJBLHrxX4dKDQvS061T9nJyuNjedJP1+7zo3WzZYh0n2bmTv7Wd4mdBQVlFTTt4KZrq3ZvWrdm4EhnfcEQvvV7t5ofbALXdrqGwkIagEH1hIY1KKfpzS/SJifw9Qt11l1xCj0Ks4BfRpwMw2yUtSh6zezwmOPbY8Fuobt2Af/2LeuihhVNxcST5devoc0tNZTQ80qpYgRD9rl1M4Vy3ji4kpyDW6NEUEZMLLlLrUVCtGi8Yr+Jm+fm0DFu3jq4qFiht0V90EQO8bjtfiX802p6vYjVFQvQvvcRirTZtgEsvjXwMzZuTdBo3ZkGf3VywI/otW0g0doJoXvRuVq40BNLMCJdDn5dH18rFFzt/PuCtaOqll5i+alaClN1XONeNUpyjdguTG4seAL77Dvjkk7KPb9zI30iIfvlynpsvvqAR5qZYSmAlXtaiReVoDv4VgCtKsm9OApCptd4O4HsAQ5RS9UuCsENKHqsQKEWS37+fE2L69NLPjxjBlmbp6SQ1IZVoiF62vrt3G5Nhzx77AJxg4UK6bdati15iGOBiYSfjGg4//0wi6tXLP6LPzCRR3XwzKzPdQMS/QjOqvEJ2FV6VMwHKQCxbxmB/NL09xYIvKCBJ3Huv9evsiH77dv6GdkFlL66b556j2zK0gXw4opedodtF14tFf8wxXEik7gVwJ2iWlWWI3lnBLdHPmMHCrVCEZtw0acL5cOWVrKD30ivCrtOUtOuMBdymV04E8AuA9kqpNKXU1Uqp65VS0gV1KoCNANYDeB3AjQCgtd4H4FEAv5X8PVLyWIUiOZnBql9+Kf3DKsXH09K4TZOJHo3rpl49uk5Cc+nthKQEYgEVFvpD9Kmp/G5a80Jy29JQ3FtDhkQnaAaUtujz8ngBu2ndBhh+Uze9WcNBFl67zAo75OZSqrl69ch6/5phLpr67TdrBcvsbLpUrIhefgM7N4UX143k0IfGLMIRfXY2K2LdykV7sejFGJKsLMBZi15rSmqE6/+cksL565TavHmzdQGZEH2HDrw9cIC1IBdd5H0+iEVvvgZbtuT1GYkB4gZus25Gaq2baq0TtNYttNZvaq1f01q/VvK81lrfpLU+TmvdRWu90PTet7TWx5f8vR2br+ENxx9PJcPCwrJZMIsW0crctMlokBGNRR8XRwtL9HcA5j+H8zUXFhoZAocORe+XBjhBq1XjIta3L/Dyy+7e98ADjH2cd150OjdAaaJPSWEandvK0qQk/o7hrDY3EJL0KpH8/fdcHIYPjz5oZib6Vq1o2YfmsgsBW809aVZvZwDUru1e2MwcNzEjHNHPnMnfw607sUkTLg5u4jFC9Js2GUVQTkQv3zNUm9+MlBR34n5167LiN9QQWrnSKKAE6LobNgyYN8+7MmyrVjzf5h3Zaaexmt8pXTVSHDHB2PLGmDG8ffJJ4yJ76y3KCYuvLCkpuqpYQePGtOiTk7liL19uFDFZYedOY6IdPOiPRT9ggLE7aN6cLiyz1WSHmTO5+NWp46+PXimOx0mPXbBxIxe/aBuH3H8/F9xQV4UTRCfcDz+qmeglayPU4g0nGpaZyUXPbl6IsJkb140Qvfn3OHSI58hu3ovL0+114SXFUoKaEscAnCWK4+JouNx2m/3nijvLyX2zYwd98aFjNWfc5OXx2qlfn9eV114PYvCZ51Lr1kwG8aOnsRWOWqLv1o0XxKhRtNC0ZqD2s8+4ui5fzskRTVWswOwfnD+fqZ779tn744qKWCn36afcIvpB9JLlcsMNVNyrV8+5bdo33zDt6557eD9aiz45mRelXLjr1/Mz3biRsrPpv42kQboZy5bxAhNVUjfYuJELHuAsy+sGdevyt0hLMzKwQn22dkR/6BBzzf/xj/BVwm71boS8zC4xpxz6jh15Ht1mmsjnuHHfpKYyLrRokeEydfLRr1nDDCS7xuKAkRTh9JuIr908PwoLeQxzIFYKIOPjS6dcuoFVLn12Nn/XDz7w9llucdQSfXIyteg3b6Zb4sUXuZ0XKYTOnWl9R+O2EZiJ/t13KejVsKHRUi8UrVoxQLZnD33TfrhuhOibNiVZXXklLbNwRTXff0/rRaQl9u2LrEm6wNxlCuAF0r698/tky71/f3QSCADdCM2auc/2ATg3hAAilUg2QykjxVLIMlRe147oZbG168QkcJtOWLMmrwVzqrET0S9caMSe3EDSSN1Y9HFxFHu77jrgv//lY06uG5GdDqceaU5zdjNW86KxYUPpjJuFJY7pjAySsxS+uYWVRV+3LlNER4zw9llucdQSPcAc2JUrmdny7LOcZOeeazy/bVt0gViBKFgCtKbFOgwXkP30U25FtfbHohdCadKEQZ8RI2ipTJ1q/54ff2SGiPhWo9G5EZj1bo49luTt5Ovdt49jdiphd4O6dXle9+xxH5D+/nv3jULcQohe+rWGpjemp5NMQ+MBQvROwWS3rpuLLuKuUap+AWeiX7rUPcmbP8dtQHbWLFrU4qZzct1MnszbcCmOboleFgszCYc2Gxk+nIWVa9Z4b54D0NBKTCxt0StFN1C0rkk7HNVE36MHT+j06cwJPvvs0m3q/LLoGzcmueXnk2TefZcTyo7o//UvBmamTeN9P4i+Rg2S9KOPcoL27cvPv/BC69dL5tHatSzcAqKrihWYLfpatbgAOsknS867F3Kxg1hf+fnuqmN37+bvcPnldHtZ6Z1HgubN+RsLOYV2vdq2zdpCFfJ2CqY3bOgunbBJE7qDrrvOeMyJ6IuL7eeNFcTd5TbF8oMP+No77uB9pzz6bdtopIVz67n10Z92Gn3lZneMEL1o3KxcSdJPT/eergxwrFZ582PGAFdd5f3zXB0zNh9bOSAnaflyZtqYc3dFN94vix6gFbl2LeVdO3SwJ/o//yQZynbaD6IHSCpa0y8cF8dJbVdgIu4awEgp84voxaIfNYrjsWtOLRCi96r9bgVzNaeboilpSHPWWSTXSBQrrdCiBY/frBm/16xZpZ9PT7c2MoToQ2tAQtG6Neeb0y5o9WoqPpoF0sLJH+TmcodlV81rhcREGhleUix37qS1LIHh5GT7hT452VlKIyGBuzknou/QgTuW4cONx1aupMsuOZkGwtChXIxmzfK24JlhlUs/fHjs9G4CoodBNGYXgmS++OWjB2i9mrMKNm2y9hVL4YQEZvzw0QOMOwBGvvH+/SzWCe2uBfBClgCdEH00gmaCBg2MtDLx9dtVeAqkQCfaQCzAcyzn2Q3Rz57NuMBTT5GwoulOZUbz5jzHmZmMU4S6r+yKpU44gYTllB4qsQ+n3VJODolsyhTjsa1beZ6tfM9yLrzWIXgpmpJrZOlS7j6dlCszMtxZ1ikpznGLggIuMCIhDbAqWyz8xETGBP72N6ZzRlqpbVUde/PN7lUwveKoJvpGjUhoVhalFC745boBaE2YfeUTJlgHF+XYcqH5ZdEffzxvJQhcowYDXlaR/lNPZc56o0YGufvhozcHpiWVbIVllwMDEpj0SwtEOgi5KU6ZM4ckMnUqJTHsmn14hTnFcseO0ha9dBuyIvqOHfm80zjcEr3khZst/w0b7CuQZb56zTTxUjRlzuZZsYKuGzu3TXExDSY3dRFuqmPj4rjAiORGcTF/ww4d+P/dd/M3WLvWW//nULRqFfv2gWYc1UQP8CK2Inqx9vx03ezezQBb3brcLVxzjXX/0+3bOQHE4o3WihbI9lb0x5OS+P+XX5bWLk9Pp+X2/PNGmllhIS2naMciF5vWFLAS4gqHnTu52P3rX9EdW/Dgg7x1suhzcrgoim/25pv9Uxg0d5pq3brsbrKoyJroN23iuJwW/+OPJ2k5VR4LgZrjFeGIXnZ/Xg0gLxa9xC3i4rjbCGfRFxWxJuTOO50/1w3Rx8fzWLJQbt3KAGm7dgz6Pv00+eKhh9wXHVpB2gfGqhI2FAHR9+DFEFqo4KdFHxrx376droBNm6ytghEj6AuUlD63KoFOEKJPTTWq+UaMoKUlKWpZWSzm6taN21ezmwfwh+glECo+Vyc1zy1beHwh6Ghx330kuHB51wBjKEVFxhxwQyZuYbboBw/m/JMFTxYgK6J/4AH+bk7zsnp1WsZuiV4ar+fn8/eW3V8oJDbgdR6kpron+ubNudj87W8k/fR0+wU2L4/aQ24E1tzq3SjF7lmAsSNq2xZ4/HH+LsOGMUAfScaNwCqXPpYIiL4HrdnQKtFt2/ypigVofcXHG/74H36gdfrsswzmhFq0L71E67lDB+4A7JoVe4UQ/ahRhmU2dCjHNnkyxzFyJFPt3n2XATpZAKLVuRGYlRWV4m8iPW3tIGTlV2rjiBEktm+/DZ9iOXs2F1uRwvBjLghSU/m7p6dzV6eU4f8OVxWbk8NYy9VXOx+jXTtnohflxbFjeX/LFl4Pdha9WLqSFuoWTZpw7LKghENcHOfq++8zC2X5cvuK5Pff5/it+syGQnz0Tmm1SUk0wp57zkg7TU/n7u7eexlTKi6OjuitculjiYDoQwKygm3b/KmKBQy9G7Empk8HXnmFGRw5OYY/EKCLZNcu4I03OLkikOa3RWoq/fJ/+YvRdap+fUb7i4o4iadOpd/+nHM4NmmaHm1VrCB0d3Pssc46+XLsYcOiO7agXj3DtxtOBmL2bBLavn0kYr8WGoAk36QJv3v37rSkQ4neympPS6Nl7BTABkjKa9eGbylYrRrlHURXRnzddkS/dSsXEK9xIy8yCADbgv7nP7x2UlO5uN10U9n0w59/5q2VCzQUjRrxezrJX3TsSIPm9tspWZyczM//y1+YZis70EhSKwWBRV/OaNWKkzaU6P3KoReYt43PPMMLpm9f3jenWf70E497xx18jV9uG4BkdeyxtOLM8guffw4MGsRx3XQTc6qnT2d1rrwuWp0bQSjRN2nCXYOd8mBxsXFhzpsX3bEF0kBaKft2fAUFPC8DB1IPKTExfOVlJGjRgqQu51h+g/R0LgRW6Y1799K95sYybt+eLiFZOOzw1VfcXQLORL9li6EB5QVei6amTiXRx8dzEWzViqmdofEkyf6RzLBwcCuD8N57JPMRI2gItG7N5IQZMzgPVqygHz/SVpIA31+nTmDRlxuUsg7I+lUVKzBXx27dSp0ZpUicP/5ovG77dk5kUdDz06IHSPSzZrGjlhlDhnCr+txzvP/ddyR+yfyJFdE3b043lV1NwZ49xoXtxmpzA3FndOpkT/SLF5NYBg7k8R95hG4uPyHVsRKrkIrp9HTOPau88YMH2RPZjVyz28yb/HzDFbR+Pf3hdlk9O3dGlnnkRQYBILlu20YfvPSLHTyYuytz68MdO7grcePedFsd27IlF+FPPuEONj+fv6W4fJ57jrvwaJsBWeXSxwpHPdEDJHoRKhL4bdGLgiVAYnv2WVoLV17JHGbxgUsQeNo0vj4WRH/oELMZzOXWiYmUXJAL5o8/uEUXsvHLRx96sT33HAOHdiJj5swYvyRc5bx27MhzYJUbL1oyxx/PuMXAgZRV9hNC9BI7kYXMLoceoNrl5s3uLXrA2U//yy/UWSkuNjJu7Ehs8WJvOkECrxZ9mzYk1g0buKusU4euE6B0l7TGjd03o3FL9Hv2MOj9++/8rVNTeb3KbxIX58/urmXLgOjLFT16kPSk4YCfVbECs+tGtnxbtjADZO1aw/e9fTut6HvuoRXtN9EfdxwXtKKi8H7e1atLb4f37jVSz6JBcjK/n/wWu3bRlWRXHWtOP/OL6MU/KlamlVU/ezZJfvNm6g71729dWBYNmjc3JJuTkoycdjv5A4CLwXff2Vc0m9GsGT/TieiLijgHc3LCp1bm5XHuSHDaC1JS+D29plhK/KpOHZ63q68uLSy3d6+R/upmDIAz0VerBvz731z8ioqAa681egSvW0epAqvmJF7RqlXguilXSFBl8mT6K//zH/+qYgUpKbTk8/MZE5D0voYNeRytuS3fvp0XklLeGjC7hblU3M4vXlRE605EnACjWCra7apSpRe9Awe4W7BzL4hFf8MN/kgEA0C/frzt2ZPB1lCiLy4mqQ8cSKXC+HjmTUsA2y9ILv22bSSXt97i/XBNwVes4Pxw46pQyl3mjRB3RgZ3N3ZEL4tuJIVrCQmc616rY8UHLwbGG28w/be4mCm6mzbZp4KGwq3eTb16LAiTXZ35vE+ZArz5pnfFSiu0bMndQ6w06M3wIaek8qN9e1o+5jzt5OTo29aZYQ4ENWvGySMnWGsGfmrUYGbJtm20ZDIyYuO6AdgA/bTTrF8TH0/LzpyG5ofOjcBM9O3bU1t90iQeL3QhEaK/5ZbwzaG9oEULFr707k2J6ocfLt1R6Y8/uPgMHEhxuU6duPNyY0V7gTmXXnaPBw4w+GxlZKxYQb+xlznRrp1z20rZSWzYQLeeHXFKtkkkFj3AHZQXvZvcXGPXKef+22+pMLtgAefOZ5+5r9JNTuY15iaXvn9/o0G5uWXi99/zfjSBWIHsTFat8pdrrBBY9CCx/fADJ82CBbRcsrL8/fHNMggALcXXX+f/StGy/OQT7i5atDAsGL+JXiZonTr2nXG++YbbVXO1pB86NwIz0cfF8bcZN856tyAZI36ei5o1STiLFpHotWY2B0Cr+f/+j/8PHMiMoKIi/3YTZohFv2kTMz0++MDw2YZTrvTSIL19e1rF4dr4iU9eLH+7zxeFzXDpmuHgpWgqLo5Wc6gWfdeuwK23kvhFWdVLnYkbvRvAkAyuU8eY94cOMWB+xhnujxcOZ55J4+HDD/35vHAIiL4E/foxE6V3b1oeXrq6u0Gof/C770imYjXffjsn1ZgxwDvvAE88wcf9dt3UqEFrcepUyjJbqRtu3Mg0T7H0AH90bgShFYqff07L2QpCfH4HQl94gQG3Ll24y/niC0O++csvWbncsCEXxlikVgI8brNmdAfs3cu6CtG8CUf077/v/hiSLRJOC+add0hqsmOxI/q//IX1FZE2x/Bi0QOs53jpJf4vRN+8uZHuOn48/zdn4TjBbXVs//40AM1xurlzuWD6pTDZoAF38B9+WDoRJBYIiL6cYFawBEgq335rZE/Ur89A04IFLGCS7bbfFj1AgqlRg3npVtvwsWOZBWNe7Px03ZiLxwBevL/8QsIPhQSrRo7059iCk0+mrEJREa36n37iIr9rF3d3d93Fc7JoEc+R24CfF8TFsaPZt99y96S1IfAWjujtUkKt4CbzJiGB2U9ffcVYgZ0iY2Ii6y0idaGJRe+24cvmzUZTEfMxb72Vlr1UrXbt6n4Mbon+uOO4CPfubTyWlcUEBT+NjtGjOZ5vv/XvM63giuiVUmcqpdYopdYrpe61eP45pdSSkr+1SqkM03NFpue+Cn3v0YJQ181tt5HEzFbzuHG0mJYvp/UAxI7oRTkvVGtn9Wq6LEKzYPz20R84YLgTjj+eLhP5zmbIVv8///Hn2IIxYxgjWbyYMhQFBfTFL17M4hjBoUO0hr2qNbrFRRfRmv7mG94Xn3Q4LXov6Y3iXw5H9O+/z7m3ZAl943bV4FOmcBcUabV4aip/85wcd68fOtSQBzFne/Xpw0VaXEledluhRoYdDh0yqoAF553H82O+ZqPFmWfyepB4QKzgSPRKqXgALwM4C0AnACOVUp3Mr9Fa/0Nr3V1r3R3ASwDMtlmuPKe1Ho6jFKJ3I5Ns506qV5rJrW5diimlpdFHWKNG5IGvcBCiHzfO6OIj+OEHZpyY3TS5ufzzk+gBw1d67LEkj9B0z6Iig9z80KI3Q+QGJk+my2TxYvpfzTIH557LIPBrr5VuMeknBgyge0BcK1u30nq1spovu4y7nqefdv/5tWqRCMMRfWYmia1evfAZLG++Ses/0swrr0VTAwYY7iTz+ReLet8+Pu8lSO7Wope6jtdfp7upoCDy2EQ4JCRQe+rrr921fowUbiz6PgDWa603aq3zAXwEIJyXbiSAiX4MriohLq50e7eEBKaKSZs+QV4ec3g3bPDfPy847jhun3v0YIaJWWtm2jRe7OasAimW8tNHDxi/xXXX0XoLbWaxezcvLiErP9GnD28lBtCjR+neAMXF1FEpLKRPOhpdk3CIi+OOQnZQ1arZf9djjmHANlyfXyu0bx+e6GVRWbUqfPPz7OzoDA+vRVOJiUaWmLm7WIsWnKPm590iJYW7CqeURnELbd1Kt+LHH3NX7qR4GgmuvJILyUcf+f/ZAjdE3xyAOa0/reSxMlBKtQZwDABzo7MkpdRCpdR8pdS5dgdRSl1b8rqFu90suZUQZhmE+vVJYKETZ/dupnlu2RIbtw1gXBxSlCISDAUFrDo8/fTSr/dL/kAQSvQZGcw8WbeutNUkqZWFhf7/FlIMZtcacP16+mR37iSxxDJYJu4bgC4tO6KfMoUWvdfuTpJLb+cbF6IvKLAvSjt0iDUg0Sz2Xi16gPGCatXKJg08/TSvk08/9TYGt3o3UteRkMBd9w8/cCcTaUepcOjWjX+xdN/4HYy9FMCnWmuz8G5rrXUvAH8D8LxSyjKmr7WeoLXupbXulRIrhqtgmGUQlKLVHHrRCqkeOhR7oi8u5phkV5GZycyj0KyKWBN9UhIzfZo2NXTvAYPoTzmFGUJ+okkTusr++MOaABcu5O3o0dy++yUVbQVx3wDcYdgR/f3389Yr2bZvz8XUzn4yyy/bZZvJri8aTX6vCpYAYxVNm5ZdgDp1YhqsubexG7itjl27luPt3dsg+tNP9z8bTzB6NFN5zUq2fsLNsNMBmAVaW5Q8ZoVLEeK20Vqnl9xuBDADQIw2wUc+Qv2DXbuWbSUopJqTEzvXjcgVb9rE6ljplFO7NvO5Q/OE/dK5EYRebDVq0C2wZUvpYwjRr1zpf9NkpYBXX+Vu5vHHyz7/228c17HHMjMmlpDsG/F/WwVic3MNTR6vEsFO4madOhnVn2b9IzNk5ykNayJBSgq/q5euStJdKiOj9OPJyfxeXquV3VbHrlvHndCAAcyA27kzdo27AVYbx8fHzqp3Q/S/AWirlDpGKZUIknmZ7BmlVAcA9QH8YnqsvlKqesn/jQAMABCjNevIh9l1AzB/NjR/XCzazMzYWfRK0U+/di236//4By3bwYOpjBgKv7ToBfXqcTtuvtief56yyGaI/3zrVuu+ttHi7LP5W1hZhV26MDOnb19D0TOWuOgiI+BnpdI5bx6fb9nSewMUpxTL+vWN827XySkxkb+VVd2FW0heupNsshnZ2fSnp6SU3u3t2MHvY37MDbxY9G3bljZ6Ykn0qals6/nBB7HpI+uYKKW1LlRK3QzgewDxAN7SWq9USj0CYKHWWkj/UgAfaV1qI9wRwHilVDG4qDyhtT5qib5xY1omBQW03mbMAF58EXj7bePivuACWtANGsSO6AFqsktQb8IEWi7nn299TL9dN0qVTXP79VcWKiUkGFIUa9aQYNq0ia6bjx1efZUL3MaNtJjNAb+rrqL75qWXYpdaacaAAVwAMzKsNYh+/plEuXKl9zz21q25cwwXkF2/njuJRx6xfn7QIMZKoiWhFi28CXllZXFOStvNSy8l8Y8Zw99LFC3dwg3RZ2bSIGvXjqm2v/5q9ImIJe67z11GUCRwlRGrtZ4KYGrIYw+G3H/I4n3zAHSJYnxVCuZAUNOmtFbWrCGRCtH/9BMzX8yvjwUGDOA2MTeXVtGBAwwOW6WqScqfmQijRagbq00bjkV84wB/m7g4Bkw7d/bv2IILLqAr4uGHaTFL/vyBAyQ0kYgoD6KPjzeE76RoyoyZM7kLu/pqVrJ6aVIeH0/SkraQVpg5k+6Jyy+3rrydO5fB4LFjI9OjF7Rs6a2SNSuLrqUNG2iYXHIJBe6WLmXtgddsLNlNhgvGSsaNuIX69DGytGKJ/v1j99lBZWw5ItSaGDaMZGJOEfvuO5bnA7Hz0QMkeoAX8Jw5tNZTU61zhefNM7ph+QUrogcMq7O4mBdcfj7jBlbkFy2OPZYBtvh4oyVdURElouvV4+9Svbo3bZloMGAAdzsrVpQloqlTScLLl5eN67jBJZdwB2knrytVwvPnW+vi3HQT036jVVps0YKBXbfVsVlZNILOPJPVo198wfkwblxkAXqr3WQohOjNxVKVHQHRlyNCZRAOHeIFaPbTP/00xc3Mr48FOnSgb3buXEOGoaCgbFZBZiabc5x8sr/HD73Yjj+e7qrNm0nyW7fy95GL2a/uUmYUFzOjp29fZlfs38/F9+WXmdt/991M3/Ojb7AbdOpkEOAPP5R+rnZtZpmsXm3decoJ11zD3dorr5R9ThQzAcZKrHZukikTbYP0li15vNDgqh2ys/ndhw7l4tekCXc0ofEcL3Aieglal9cCXx4IiL4cESqDUL06t8Pm6th33uFjQGyJPi6OW8V584xKw8ceK/u6X34h+fhN9KEW/amn0mKUJtli2YvCo19NR8xISODF3KQJb3v3ZhbO+PH032/aFHv5WDPEDfGvf5VuW/j66xS5e/pp6rxEgsaNgYsv5vwyq5ICpTts3X+/Mf/M2L+fv1e0ldpyPp0awgOG5nydOgyKvvIK3SmjR0eX5uhUHbt6NfPl/XRVVjQCoi9HhLpulKKuzFtvGfmz48cbboRYum4AugpWr2aQLT/fmkTmzKEFGQvXjQSmAV7UkyYx5bRePYPoV6/mRe2nvogZHTrQnfHJJ3RLzJxpSDSfcYbRDKQ8MHQoSW3/fv4WEvicMIGum5kzo+tydcst/F7vvVf6cbmfkkLXUGgT9gMHmHbpx65KJCbcBGQPHKCRUacOd3s33OCP8ROO6IuLgenT/TdsKhoB0ZcjGjQgaZkn2Rtv0Eq6+GISrrTsi4/3ni/tFeKnnzfPXsNkzhyW//tNtHLBSkZPXBz9sZdcwgv7999pUc2cCVx/ffSdrezQoQN9sg88QFEv6T6VlMSdViTdlCJF3bpc2Hr0oKtl8WK6VBYvNhpjRzMn+vThruW//zVcRFOmsAn8dddRaK9x47LZOULKfgjLeSF62Xn41XBGEI7olyzhc35pzh8pCIi+HBEXRyvdnEvfvDl99M8+S1/w3r0ktYYNY1eFJ+jVi8e0Uo0EaMX9+mtsrBurNLdff6XrQGuW+ktxzu23+398wTXXcDGrVq10c5F16/j9zSJn5YFmzahgunAhz8+sWbQyO3fmri+ajBcAuPlm7mCmT6f7ZPRo7qKee46/fZ8+ZYm+fn0GrcWPHw2k14Mb101o0xG/ELqbNEPUXGOZM18RCIi+nGFlTZxyCi22v/+dVltxcWz984KaNdk31Y7oFy8m2ZYX0b/2Gi1opRi/ENmBiy/2//iCFi140YdKUbzxhv+yC27xxRecEw89RDdeUhILuLp1M7pfRYqLL6ax8fzz1Pg/dIhuK/FHd+5MMjZnxaSmMs/eqfesG1SrxsXMjUUfS6IHrNUiv/uONRvRLqhHGgKiL2fYbRurVSPJP/QQrflY++cFAwYwvzo/v+xz4g8uL6LfsoVZLllZ3PXccgurdm+5xf/jC3JzuU0PFcdauZJZMJFkuESLvn3pn37kEfrr27UjEc+YYYixRYqkJMYgvvmG53f8eKNydv58BsRvvbW0q2zrVi44kvYbLSTF0gmxct3YySBkZdGNWdXcNkBA9OWOxo2tRZ3i4uiuGDeOaWTlpes2YACtusWLyz43Zw6zHKJNqbOCFdG3acPt9C8lIhp9+wKPPkr3QqxQrx7dI1dfXfrxlSvLp1DKCu3bG5lQbdsy5fT55/2LU1x/PReOMWOohS6QReQf/zBaGgKs2OzUyVuhUzi0bHlkWPShRC+y1AHRB4gaxx3HC9fKghbrsbyJHijrviku5mOxyj5o2JDEZVU0JTuJdu2YX3/ddbEZg0CKowQZGdRjqSiiB4xU148/5iL8r3/599ktW1JHaMKE0o/Xq0eXRUZGafGy9euZkeTGCncDt0VTsSJ6ibuEZhd9/z0TI+SaqEoIiL6c0a0brVY7OdKiIrpwyovomzRhhWgo0Ys0Q6yIPj6eWUhmou/Xj/5R8Ze3bUvSiUUOvRmvvML4iBBPnTosmonlTsIJ/ftzl7dsGZuB+J3T3aiR9Q6hc2dq40gwcutWo2WfX37rli25cDgJksWK6I8/nn2Zn3qqdGLE998zVualY1VlQUD05Yxu3XhrJVwFkFy1Lj8fPUALZu7c0hZWLP3zgtAKRUmrzM8nGcTF0bKMdZppx44knd27WTx05plMszNn4VQEVq5kq8NYZ1+ZccIJnJuyyD3xhDEv/CJ6KZpyct/EykcPAE8+ycXmoYd4f/16nvuq6LYBAqIvd7RtS+vMjuhF46Q8e68MGEDLxlwhOXs2x+BV79sLrALT2dmMVSQkGGXysbboxTc9diwXmIQEklt5EqzduEKbwMQaI0cy137qVO6sPvqIsZJatfxb+MR14uQKysqidR2Jto8TOnRgrGLCBNYuSFrlmWf6f6wjAQHRlzPi45kqt2SJ9fNCfOVN9ADlgcWlNGcOrflYFSoB1kRfqxaP2a0bF8Snnoqtqh9AIvvrX0lwCQksIoplSueRjL59mU+fmcmc+mef5cKbne1fly23RVPSdCRWGDeOPvm77ybRH3ts+ObolRkB0VcAunWjRW8VjBLiK0/XTadOLByaNIlb9z59qPMycGBsj2tF9Dt20HXTsyctrRtvZEFPLFG3LuWh77gjtsepLGjRglLFzZvTpfXRRyRFv9CkCQ0eJ4teBM1ihZQUVkR/8w2VMauq2wYIiL5C0L07A65WE70iLPq4OG5h09JYDp+Tw8dOOy22x01JYUzCLI0sRTnvvMPgbK1arJgNUH4YOpSFa8nJlCdesKB0n4BoER/vrmgq1hY9QHdd69ZVN61SEBB9BSBcQFZ89OVp0QsaN6ZVu3IlF5wuMW4Zk5JCkjdnXwjRjxnD23POKa3XHyD2OOEEnpdOnegjf+IJdkHzE246Tf35p9E0PVZISmIXse7d6b6rqgiIvgIgrggrot+9m66EikzxUsq//rDhYFW4smYNffM338yLsLzkIAIY6NaN/vj77+f9li39z0Bq2TK866aoiJo85VHLMGwYs71i6SaqaAREXwGoXZuFU1YB2d27K8aarwjYEX27dnTZnHEGsz+sxKcCxA4PPEBXTevWsTuGWPR2RVObNzO1tlOn2I3haEI59c4JEAoJyIZi9+6jx4K1I/oTT+T/n33G4GxVLGA5klGvXuxTWlu2JJHv22fddF6yvwKi9weBRV9B6N6dRRo5OaUfL0/5g4pGKNHn5THbR0S24uO9N38OUDnglGIpRN+xY/mMp6rDFdErpc5USq1RSq1XSt1r8fyVSqndSqklJX9jTM+NVkqtK/mrwKLyIwvdunHbGioUdTS5buR7jhtHK37AAPrkhegDVF04tRRctYqLfCx6BR+NcHTdKKXiAbwM4HQAaQB+U0p9pbUOVWv5WGt9c8h7GwAYB6AXAA1gUcl7HVQuqj7MmTfS1Ujro8t1U7061SmXLuU2/tAhViZW5eyHAIQbiz5w2/gHNz76PgDWa603AoBS6iMAIwDYyHKVwhkApmmt95W8dxqAMwFMjGy4VQetWtEPag7IZmUx8Hi0ED0QfSONAJUTqanswWBF9MXFLJYbM6bscwEigxvXTXMA5tORVvJYKC5QSi1TSn2qlJIGbG7fC6XUtUqphUqphbvDtWivIpAyf3NA9tlnedu5c8WMKUCA8oIUTVm5brZuZeOVwKL3D34FY78G0EZr3RXANADvev0ArfUErXUvrXWvlKPEpO3WjT76oiLghx+oQX7llVVXWClAADPsiqaCQKz/cEP06QDMLZJblDx2GFrrvVrrvJK7bwA40e17j2Z0707LZfZsdvrp1Al4+eWKHlWAAOUDu6KpILXSf7gh+t8AtFVKHaOUSgRwKYCvzC9QSpkLlYcDWF3y//cAhiil6iul6gMYUvJYABgB2fPPZ+/SSZPYsDtAgKMBQvShRVOrVrES1yq/PkBkcAzGaq0LlVI3gwQdD+AtrfVKpdQjABZqrb8CMFYpNRxAIYB9AK4see8+pdSj4GIBAI9IYDaA0Xx6/36qBQZb1QBHE1q0YKZVaO1IkHHjP1xVxmqtpwKYGvLYg6b/7wNwn8173wLwVhRjrLJISgLOPZel5pddVtGjCRCgfGFuQCJErzWJPrge/EUggVDB+PTTih5BgAAVA7Hap08HevTg/9u2Mc04sOj9RSCBECBAgApBhw7AoEHAf//LzDMgCMTGCgHRBwgQoMIwdiyVKr8qSe8IiD42CIg+QIAAFYYRI1gl/sILvL9qFXsh+K1/f7QjIPoAAQJUGKpVY5OZmTNZJS4ZN7FsSn80IiD6AAECVCjGjGH9yIsvso1l4LbxH0HWTYAAASoU9esDV1wBvPEGm3QHRO8/Aos+QIAAFY6xY0nyQED0sUBA9AECBKhwdOwIDBnC/wOi9x+B6yZAgABHBJ55hgWEzZpV9EiqHgKiDxAgwBGBLl34F8B/BK6bAAECBKjiCIg+QIAAAao4AqIPECBAgCqOgOgDBAgQoIojIPoAAQIEqOIIiD5AgAABqjgCog8QIECAKo6A6AMECBCgikPp0BbsRwCUUrsBbInw7Y0A7PFxOOWNyjz+yjx2IBh/RSMYf3RorbVOsXriiCT6aKCUWqi17lXR44gUlXn8lXnsQDD+ikYw/tghcN0ECBAgQBVHQPQBAgQIUMVRFYl+QkUPIEpU5vFX5rEDwfgrGsH4Y4Qq56MPECBAgAClURUt+gABAgQIYEJA9AECBAhQxVFliF4pdaZSao1Sar1S6t6KHo8TlFJvKaV2KaVWmB5roJSappRaV3JbvyLHGA5KqZZKqZ+VUquUUiuVUreWPF4pvoNSKkkptUAptbRk/A+XPH6MUurXknn0sVIqsaLHagelVLxS6nel1Dcl9yvN2AFAKbVZKbVcKbVEKbWw5LHKMn/qKaU+VUr9oZRarZTqdySPvUoQvVIqHsDLAM4C0AnASKXUkd558h0AZ4Y8di+An7TWbQH8VHL/SEUhgDu01p0AnATgppLfvLJ8hzwAf9VadwPQHcCZSqmTADwJ4Dmt9fEA9gO4uuKG6IhbAaw23a9MYxcM1lp3N+WfV5b58wKA77TWHQB0A8/DkTt2rXWl/wPQD8D3pvv3AbivosflYtxtAKww3V8DoGnJ/00BrKnoMXr4Ll8COL0yfgcANQEsBtAXrGysVvJ4qXl1JP0BaAGSyV8BfANAVZaxm77DZgCNQh474ucPgLoANqEkmaUyjL1KWPQAmgPYarqfVvJYZUOq1np7yf87AKRW5GDcQinVBkAPAL+iEn2HEtfHEgC7AEwDsAFAhta6sOQlR/I8eh7A3QCKS+43ROUZu0AD+EEptUgpdW3JY5Vh/hwDYDeAt0tcZ28opZJxBI+9qhB9lYOmWXDE574qpWoB+AzAbVrrLPNzR/p30FoXaa27g9ZxHwAdKnZE7qCUOgfALq31oooeS5Q4WWvdE3S53qSUGmR+8gieP9UA9ATwqta6B4ADCHHTHGljrypEnw6gpel+i5LHKht2KqWaAkDJ7a4KHk9YKKUSQJL/UGv9ecnDleo7AIDWOgPAz6C7o55SqlrJU0fqPBoAYLhSajOAj0D3zQuoHGM/DK11esntLgBfgIttZZg/aQDStNa/ltz/FCT+I3bsVYXofwPQtiTrIBHApQC+quAxRYKvAIwu+X806Pc+IqGUUgDeBLBaa/0f01OV4jsopVKUUvVK/q8BxhdWg4R/YcnLjsjxa63v01q30Fq3Aef6dK31KFSCsQuUUslKqdryP4AhAFagEswfrfUOAFuVUu1LHjoVwCocyWOv6CCBjwGSswGsBf2sD1T0eFyMdyKA7QAKQAvhatDP+hOAdQB+BNCgoscZZvwng1vTZQCWlPydXVm+A4CuAH4vGf8KAA+WPH4sgAUA1gOYBKB6RY/V4XucAuCbyjb2krEuLflbKddsJZo/3QEsLJk/kwHUP5LHHkggBAgQIEAVR1Vx3QQIECBAABsERB8gQIAAVRwB0QcIECBAFUdA9AECBAhQxREQfYAAAQJUcQREHyBAgABVHAHRBwgQIEAVx/8DIajqvIe4QYkAAAAASUVORK5CYII=",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -534,13 +533,13 @@
     "\n",
     "plt.legend()\n",
     "\n",
-    "plt.set_xlabel(r\"Time ($\\omega_{q}^{-1}$)\")\n",
-    "plt.set_ylabel(r\"$\\langle a^{\\dagger}a \\rangle$\")"
+    "plt.xlabel(r\"Time ($\\omega_{q}^{-1}$)\")\n",
+    "plt.ylabel(r\"$\\langle a^{\\dagger}a \\rangle$\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -549,13 +548,13 @@
        "Text(0, 0.5, '$\\\\mathcal{F}(\\\\psi_{dig}(t), \\\\psi_{Rabi}(t))$')"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -581,6 +580,13 @@
     "plt.xlabel(r\"Time ($\\omega_{q}^{-1}$)\")\n",
     "plt.ylabel(r\"$\\mathcal{F}(\\psi_{dig}(t), \\psi_{Rabi}(t))$\")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/docs/source/classes/Tutorials/1_Qubit/21_HeisenbergModelDQS.ipynb b/docs/source/classes/Tutorials/1_Qubit/21_HeisenbergModelDQS.ipynb
index 8604c6de..aca175bf 100644
--- a/docs/source/classes/Tutorials/1_Qubit/21_HeisenbergModelDQS.ipynb
+++ b/docs/source/classes/Tutorials/1_Qubit/21_HeisenbergModelDQS.ipynb
@@ -8,7 +8,8 @@
    "source": [
     "import quanguru as qg\n",
     "import numpy as np\n",
-    "import matplotlib.pyplot as plt"
+    "import matplotlib.pyplot as plt\n",
+    "import platform"
    ]
   },
   {
@@ -96,7 +97,7 @@
     "freqValues = [0.01*(i+1) for i in range(100)]\n",
     "totalSimTimeV = 5*2*np.pi\n",
     "\n",
-    "def calculateStart(qsim):\n",
+    "def preCompute(qsim):\n",
     "    proList = qsim.qEvolutions\n",
     "    pro1 = (proList[0].unitary()**qsim.stepCount)\n",
     "    pro2 = (proList[1].unitary()**qsim.stepCount)\n",
@@ -105,7 +106,7 @@
     "    qsim.qRes.result = 'sErr', qg.norm(uDiff @ proList[0].initialState)\n",
     "    qsim.qRes.result = 'sFidStart', qg.fidelityPure(pro1@proList[0].initialState, pro2@proList[1].initialState)\n",
     "\n",
-    "def calculateEnd(qsim):\n",
+    "def postCompute(qsim):\n",
     "    proList = qsim.qEvolutions\n",
     "    qsim.qRes.result = 'sFidEnd', qg.fidelityPure(proList[0].currentState, proList[1].currentState)\n",
     "\n",
@@ -125,8 +126,8 @@
     "simulation.addSubSys(nQubHeisenberg)\n",
     "\n",
     "simulation.compute = compute\n",
-    "simulation.calculateEnd = calculateEnd\n",
-    "simulation.calculateStart = calculateStart\n",
+    "simulation.postCompute = postCompute\n",
+    "simulation.preCompute = preCompute\n",
     "simulation.totalTime = totalSimTimeV\n",
     "simulation.stepSize = (stepSizes[0]+0.05)*2*np.pi\n",
     "\n",
@@ -134,6 +135,15 @@
     "freqSweep = simulation.Sweep.createSweep(system=[*exchangeQubs, *HeisenbergQubs], sweepKey='frequency', sweepList=freqValues)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<span style=\"color:red\" font-weight=\"bold\"> IMPORTANT NOTE FOR WINDOWS USERS : MULTI-PROCESSING (p=True) DOES NOT WORK WITH NOTEBOOK\n",
+    "\n",
+    "You can use a python script, but you will need to make sure that the critical parts of the code are under ``` if __name__ == \"__main__\": ``` We are going to add further tutorials for this later."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 8,
@@ -151,7 +161,7 @@
     }
    ],
    "source": [
-    "simulation.run(p=True)"
+    "simulation.run(p=(platform.system() != 'Windows'))"
    ]
   },
   {
diff --git a/src/quanguru/QuantumToolbox/IPR.py b/src/quanguru/QuantumToolbox/IPR.py
index b8645cd5..e2c05b5d 100644
--- a/src/quanguru/QuantumToolbox/IPR.py
+++ b/src/quanguru/QuantumToolbox/IPR.py
@@ -65,7 +65,7 @@ def iprKet(basis: matrixList, ket: Matrix) -> float:
     1.0
     """
 
-    return 1/sum([fidelityPure(basKet, ket)**2 for basKet in basis]) # type: ignore
+    return 1/sum(fidelityPure(basKet, ket)**2 for basKet in basis) # type: ignore
 
 def iprKetNB(ket: Matrix) -> float:
     r"""
diff --git a/src/quanguru/QuantumToolbox/states.py b/src/quanguru/QuantumToolbox/states.py
index 956cc604..45e044a7 100644
--- a/src/quanguru/QuantumToolbox/states.py
+++ b/src/quanguru/QuantumToolbox/states.py
@@ -253,7 +253,7 @@ def weightedSum(summands: Iterable, weights: Iterable = None) -> Any:
     # TODO
     """
 
-    return sum([weight*val for weight, val in zip(weights, summands)]) if weights is not None else sum(summands)
+    return sum(weight*val for weight, val in zip(weights, summands)) if weights is not None else sum(summands)
 
 def superPos(dimension: int, excitations: supInp, populations: bool = True, sparse: bool = True) -> Matrix:
     r"""
diff --git a/src/quanguru/classes/QDrive.py b/src/quanguru/classes/QDrive.py
index cbb4fe9f..8d2bd316 100644
--- a/src/quanguru/classes/QDrive.py
+++ b/src/quanguru/classes/QDrive.py
@@ -37,7 +37,7 @@ def totalShape(self, timeList):
             self._paramBoundBase__matrix = shapeList #pylint: disable=assigning-non-slot
         return self._paramBoundBase__matrix # pylint: disable=no-member
 
-    def apply(self, time): #pylint:disable=no-self-use,unused-argument
+    def apply(self, time): #pylint:disable=unused-argument
         return 0
 
 class qDrive(genericDrive):
diff --git a/src/quanguru/classes/QPro.py b/src/quanguru/classes/QPro.py
index 317b5af5..77d8f2d7 100644
--- a/src/quanguru/classes/QPro.py
+++ b/src/quanguru/classes/QPro.py
@@ -132,7 +132,7 @@ def currentState(self, inp):
 
     @QSimComp.initialState.setter # pylint: disable=no-member
     def initialState(self, inp):
-        self.simulation._stateBase__initialStateInput.value = inp # pylint: disable=protected-access
+        self.simulation._initialStateInput = inp # pylint: disable=protected-access
         self.simulation._stateBase__initialState.value = self.superSys._createAstate(inp) # pylint:disable=W0212,E1101
 
     def createUpdate(self, **kwargs):
diff --git a/src/quanguru/classes/QSimBase.py b/src/quanguru/classes/QSimBase.py
index fe05bb8c..eb3230a7 100644
--- a/src/quanguru/classes/QSimBase.py
+++ b/src/quanguru/classes/QSimBase.py
@@ -28,8 +28,8 @@
 
 from typing import Any, cast
 
-from warnings import warn
-from numpy import integer
+from numpy import ndarray, integer
+from scipy.sparse import spmatrix
 
 from quanguru.classes.exceptions import checkNotVal
 from .baseClasses import computeBase, paramBoundBase
@@ -150,7 +150,7 @@ class stateBase(computeBase):
     #: (**class attribute**) number of total instances = _internalInstances + _externalInstances
     _instances: int = 0
 
-    __slots__ = ['__delStates', '__initialState', '__initialStateInput', '_initialStateSystem']
+    __slots__ = ['__delStates', '__initialState', '__initialStateInput', '_initialStateSystem', '_maxInput']
 
     def __init__(self, **kwargs):
         super().__init__(_internal=kwargs.pop('_internal', False))
@@ -173,6 +173,10 @@ def __init__(self, **kwargs):
         This system will be used in the initial state creation, i.e. input will be passed to this systems createState
         function. If this is None, it fallbacks to self.superSys, and raises error if self.superSys is also None.
         """
+        self._maxInput = None
+        r"""
+        Stores the maximum of the basis numbers passed to initial state input.
+        """
         self._named__setKwargs(**kwargs) # pylint: disable=no-member
 
     @property
@@ -202,46 +206,55 @@ def initialState(self):
         dictionary values.
         """
 
-        if isinstance(self._initialStateInput, (int, integer)):
-            if self._initialStateInput >= self.initialStateSystem.dimension:
-                warn(f'Initial state input ({self._initialStateInput}) is larger than or equal to system dimension \
-                      ({self.initialStateSystem.dimension}), initial state is set to False')
-                self._stateBase__initialState.value = False
-
-        if self._stateBase__initialState.value is not False:
-            if ((self._stateBase__initialState.value is None) or
-                (self._stateBase__initialState.value.shape[0] != self.initialStateSystem.dimension)): # pylint: disable=no-member
-                # TODO initial state creation has a bug when it relies on .dimension of a protocol
-                #  after re-structuring the protocol, this should no longer rely of .dimension of protocol,
-                #  which returns 1 and causes this to evaluate everytime anyway.
-                #  labels: bug, enhancement
-                if isinstance(self._stateBase__initialState._bound, _parameter): # pylint: disable=protected-access
-                    # might seem redundant, but required to make sure that bound creates its initial state by calling
-                    # _createAstate
-                    self._stateBase__initialState._value = self._timeBase__bound.initialState # pylint: disable=no-member
-                else:
-                    self._stateBase__initialState.value = self.initialStateSystem._createAstate(self._initialStateInput) # pylint: disable=protected-access, no-member, line-too-long # noqa: E501
+        if ((self._stateBase__initialState.value is None) or
+            (self._stateBase__initialState.value.shape[0] != self.initialStateSystem.dimension)): # pylint: disable=no-member
+            # TODO initial state creation has a bug when it relies on .dimension of a protocol
+            #  after re-structuring the protocol, this should no longer rely of .dimension of protocol,
+            #  which returns 1 and causes this to evaluate everytime anyway.
+            #  labels: bug, enhancement
+            if isinstance(self._stateBase__initialState._bound, _parameter): # pylint: disable=protected-access
+                # might seem redundant, but required to make sure that bound creates its initial state by calling
+                # _createAstate
+                self._stateBase__initialState._value = self._timeBase__bound.initialState # pylint: disable=no-member
+            else:
+                self._stateBase__initialState.value = self.initialStateSystem._createAstate(self._initialStateInput, self._maxInput) # pylint: disable=protected-access, no-member, line-too-long # noqa: E501
         return self._stateBase__initialState.value # pylint: disable=no-member
 
     @initialState.setter # pylint: disable=no-member
     def initialState(self, inp):
-        self._stateBase__initialStateInput.value = inp # pylint: disable=no-member
-        if isinstance(self._initialStateInput, (int, integer)):
-            if self._initialStateInput >= self.initialStateSystem.dimension:
-                warn(f'Initial state input ({self._initialStateInput}) is larger than or equal to system dimension \
-                      ({self.initialStateSystem.dimension}), initial state is set to False')
-                self._stateBase__initialState.value = False
-
-        if self._stateBase__initialState.value is not False:
-            self._stateBase__initialState.value = self.initialStateSystem._createAstate(inp) # pylint: disable=protected-access, no-member, line-too-long # noqa: E501
+        self._initialStateInput = inp # pylint: disable=no-member
+        self._stateBase__initialState.value = self.initialStateSystem._createAstate(inp, self._maxInput) # pylint: disable=protected-access, no-member, line-too-long # noqa: E501
 
     @property
     def _initialStateInput(self):
         r"""
-        ``returns _stateBase__initialStateInput.value``.
+        ``getter and setter of _stateBase__initialStateInput.value``.
         """
         return self._stateBase__initialStateInput.value
 
+    @_initialStateInput.setter
+    def _initialStateInput(self, inp):
+        self._setGetMaxInput(inp)
+        self._stateBase__initialStateInput.value = inp
+
+    def _setGetMaxInput(self, inps):
+        if isinstance(inps, (int, integer)) or (inps is None):
+            inps = [inps]
+        elif isinstance(inps, (list, tuple)):
+            pass
+        elif isinstance(inps, dict):
+            inps = inps.keys()
+        elif isinstance(inps, (ndarray, spmatrix)):
+            inps = [inps.shape[0]]
+        else:
+            raise TypeError(f"Initial state input does not support type {type(inps)}")
+
+        if all(isinstance(i, (int, integer)) for i in inps):
+            self._maxInput = max(inps)
+        else:
+            self._maxInput = 1
+        return self._maxInput
+
     def getResultByNameOrAlias(self, name):
         r"""
         This method exists to enrich the terminology, it just ``returns super().getByNameOrAlias(name)``, which returns
diff --git a/src/quanguru/classes/QSimComp.py b/src/quanguru/classes/QSimComp.py
index 01aaf3c4..0d4d7d94 100644
--- a/src/quanguru/classes/QSimComp.py
+++ b/src/quanguru/classes/QSimComp.py
@@ -70,7 +70,7 @@ def runSimulation(self, p=None, coreCount=None):
 
     @property
     def _initialStateInput(self):
-        return self.simulation._stateBase__initialStateInput.value
+        return self.simulation._initialStateInput
 
     @property
     def simParameters(self):
diff --git a/src/quanguru/classes/QSys.py b/src/quanguru/classes/QSys.py
index 6a643602..6c052917 100644
--- a/src/quanguru/classes/QSys.py
+++ b/src/quanguru/classes/QSys.py
@@ -420,7 +420,7 @@ def freeHam(self):
         r"""
         returns the Hamiltonian without the coupling terms.
         """
-        ham = sum([val.totalHam for val in self.qSystems.values()])
+        ham = sum(val.totalHam for val in self.qSystems.values())
         return ham
 
     @property
@@ -438,7 +438,7 @@ def couplingHam(self):
         r"""
         returns only the coupling terms of the Hamiltonian.
         """
-        cham = sum([val.totalHam for val in self.qCouplings.values()])
+        cham = sum(val.totalHam for val in self.qCouplings.values())
         return cham
 
     @property
@@ -896,7 +896,7 @@ def totalHam(self): # pylint: disable=invalid-overridden-method
         Returns the total Hamiltonian of the single quantum system.
         """
         if ((self._paramUpdated) or (self._paramBoundBase__matrix is None)): # pylint: disable=no-member
-            h = sum([(obj.frequency * obj.freeMat) for obj in self.subSys.values()])
+            h = sum((obj.frequency * obj.freeMat) for obj in self.subSys.values())
             self._paramBoundBase__matrix = h # pylint: disable=assigning-non-slot
             self._paramBoundBase__paramUpdated = False # pylint: disable=assigning-non-slot
         return self._paramBoundBase__matrix # pylint: disable=no-member
@@ -907,7 +907,7 @@ def _totalHamSimple(self):
         returns the total Hamiltonian of the single quantum system, but this method does not take the dimension
         before/after into account even if ``self`` is a sub-system of a composite system.
         """
-        return sum([(obj.frequency * obj._freeMatSimple) for obj in self.subSys.values()])#pylint:disable=protected-access
+        return sum((obj.frequency * obj._freeMatSimple) for obj in self.subSys.values())#pylint:disable=protected-access
 
     @property
     def freeMat(self):
@@ -1175,7 +1175,7 @@ def couplingStrength(self):
     def couplingStrength(self, strength):
         self.frequency = strength
 
-    def __coupOrdering(self, qts): # pylint: disable=no-self-use
+    def __coupOrdering(self, qts):
         r"""
         method used internally to make some sorting of the operators. This is implemented so that there are some
         flexibilities for user when creating coupling.
diff --git a/src/quanguru/classes/QSystem.py b/src/quanguru/classes/QSystem.py
index 1493b39c..1a35cdbb 100644
--- a/src/quanguru/classes/QSystem.py
+++ b/src/quanguru/classes/QSystem.py
@@ -39,7 +39,7 @@ def _initStDec(_createInitialState):
     r"""
     Decorater to handle different inputs for initial state creation.
     """
-    def wrapper(obj, inp=None):
+    def wrapper(obj, inp=None, _maxInput=1):
         # if the given input is a state with consistent shape, simply returns it back
         # if the shape is inconsistent raises an error
         if isinstance(inp, (ndarray, spmatrix)):
@@ -51,8 +51,8 @@ def wrapper(obj, inp=None):
             # this is introduced as convenience so that we can call the _createInitialState without any argument
             # and it will use the input set through the initial state setter
             if inp is None:
-                inp = obj.simulation._stateBase__initialStateInput.value
-            state = _createInitialState(obj, inp)
+                inp = obj.simulation._initialStateInput
+            state = _createInitialState(obj, inp, _maxInput=_maxInput)
         return state
     return wrapper
 
@@ -133,18 +133,22 @@ def _timeDependency(self, time=None):
         return time
 
     @_initStDec
-    def _createInitialState(self, inp=None):
+    def _createInitialState(self, inp=None, _maxInput=1):
         r"""
         Method that creates a state from the given input, which is handeled by the _initStDec decorator for different
         input cases.
         """
         if self._isComposite:
             inp = [qsys._initialStateInput for qsys in self.subSys.values()] if inp is None else inp
-            subSysStates = [qsys._createInitialState(inp[ind]) for ind, qsys in enumerate(self.subSys.values())]  # pylint: disable=protected-access
-            initialState = tensorProd(*subSysStates)
+            subSysStates = [qsys._createInitialState(inp[ind], qsys.simulation._setGetMaxInput(inp[ind])) for ind, qsys in enumerate(self.subSys.values())]  # pylint: disable=protected-access,line-too-long
+            initialState = tensorProd(*subSysStates) if not any(inst is None for inst in subSysStates) else None
         else:
             checkNotVal(inp, None, self.name + ' is not given an initial state')
-            initialState = superPos(self.dimension, inp, not self._inpCoef)
+            initialState = superPos(self.dimension, inp, not self._inpCoef) if _maxInput < self.dimension else None
+
+        if initialState is None:
+            warnings.warn(f'Initial state input ({inp}) is larger than or equal to system dimension ({self.dimension})'+
+                 f', initial state is set to {initialState}')
         return initialState
 
     @QSimComp.initialState.setter # pylint: disable=no-member
@@ -172,7 +176,7 @@ def _subSysHamiltonian(self):
         r"""
         returns the sum of sub-system Hamiltonian
         """
-        return sum([val.totalHamiltonian for val in self.subSys.values()])
+        return sum(val.totalHamiltonian for val in self.subSys.values())
 
     @property
     def totalHamiltonian(self): # pylint: disable=invalid-overridden-method
@@ -189,7 +193,7 @@ def _termHamiltonian(self):
         r"""
         returns the sum of term Hamiltonian
         """
-        return sum([val.totalHamiltonian for val in self.terms.values() if val.operator is not None])
+        return sum(val.totalHamiltonian for val in self.terms.values() if val.operator is not None)
 
     # dimension methods and properties
     @property
@@ -362,6 +366,11 @@ def addSubSys(self, subSys, **kwargs):
         updates of the sub-system also sets the _paramUpdated of self to True.
         Note that composite systems can contain other composite systems as sub-systems.
         """
+        if self in subSys.subSys.values():
+            raise ValueError(f"{self.name} is a subsystem of {subSys.name}. " +
+                             f"Cannot add {subSys.name} as subsystem to {self.name}. " +
+                             "Circular subsystem addition is not allowed.")
+
         if self._QuantumSystem__compSys is None: # pylint:disable=no-member
             self._QuantumSystem__compSys = True # pylint:disable=assigning-non-slot
         elif self._QuantumSystem__compSys is False: # pylint:disable=no-member
diff --git a/src/quanguru/classes/base.py b/src/quanguru/classes/base.py
index 26add6fb..cf143b63 100644
--- a/src/quanguru/classes/base.py
+++ b/src/quanguru/classes/base.py
@@ -238,7 +238,7 @@ def get(self, key: Hashable, default: Optional[Any] = None) -> Any: #pylint:disa
         Modified get method to be compatible with extended :meth:`~__getitem__` method.
         """
         try:
-            return self.__getitem__(key)
+            return self.__getitem__(key) #pylint:disable=unnecessary-dunder-call
         except: #pylint:disable=bare-except  # noqa: E722
             return default
 
@@ -284,9 +284,9 @@ def setdefault(self, __key: Hashable, __default: Optional[Any] = None) -> Any:
         r"""
         Modified setdefault method to be compatible with extended :meth:`~__setitem__` & :meth:`~__getitem__` methods.
         """
-        if not self.__contains__(__key):
-            self.__setitem__(__key, __default)
-        return self.__getitem__(__key)
+        if not self.__contains__(__key): #pylint:disable=unnecessary-dunder-call
+            self.__setitem__(__key, __default) #pylint:disable=unnecessary-dunder-call
+        return self.__getitem__(__key)#pylint:disable=unnecessary-dunder-call
 
     def pop(self, k: Hashable, *args) -> Any:
         r"""
diff --git a/src/quanguru/classes/baseClasses.py b/src/quanguru/classes/baseClasses.py
index de0443b4..d94cf44c 100644
--- a/src/quanguru/classes/baseClasses.py
+++ b/src/quanguru/classes/baseClasses.py
@@ -234,7 +234,7 @@ class computeBase(paramBoundBase):
     #: (**class attribute**) number of total instances = _internalInstances + _externalInstances
     _instances: int = 0
 
-    __slots__ = ['qRes', 'compute', 'calculateStart', 'calculateEnd']
+    __slots__ = ['qRes', 'compute', 'preCompute', 'postCompute']
 
     def __init__(self, **kwargs) -> None:
         super().__init__(_internal=kwargs.pop('_internal', False))
@@ -248,13 +248,13 @@ def __init__(self, **kwargs) -> None:
         It is intended to perform computations on the current state of the system and store the results
         in the ``self.qRes.results``.
         """
-        self.calculateStart: Callable = None
+        self.preCompute: Callable = None
         r"""
         Function to call at the beginning of time-evolution (or simulation) to perform
         some calculations, which might be needed in the compute, and store them in the ``self.qRes.calculated``.
         This is by default ``None``.
         """
-        self.calculateEnd: Callable = None
+        self.postCompute: Callable = None
         r"""
         Function to call at the end of time-evolution (or simulation) to perform
         some calculations, which might be needed in the compute, and store them in the ``self.qRes.calculated``.
@@ -274,13 +274,13 @@ def __compute(self, states, *args, **kwargs) -> None: # pylint: disable=dangerou
     def __calculate(self, where: str, *args, **kwargs) -> None:
         r"""
         This is the actual calculate function that is called in the time-evolution, it calls
-        (if callable, does nothing otherwise) ``self.calculateStart``
-        or ``self.calculateEnd`` depending on the given string `where`.
+        (if callable, does nothing otherwise) ``self.preCompute``
+        or ``self.postCompute`` depending on the given string `where`.
         """
-        if where == "start":
-            meth = self.calculateStart
-        elif where == "end":
-            meth = self.calculateEnd
+        if where == "pre":
+            meth = self.preCompute
+        elif where == "post":
+            meth = self.postCompute
 
         if callable(meth):
             return meth(self, *args, **kwargs) # pylint: disable=not-callable
diff --git a/src/quanguru/classes/modularSweep.py b/src/quanguru/classes/modularSweep.py
index 29ed6287..6cc52d04 100644
--- a/src/quanguru/classes/modularSweep.py
+++ b/src/quanguru/classes/modularSweep.py
@@ -76,15 +76,23 @@ def _runSweepAndPrep(qSim, ind):
             protocol.currentState = protocol.initialState if not protocol._isOpen else densityMatrix(protocol.initialState)# pylint: disable=protected-access,line-too-long
 
     qSim.qRes._resetLast() # pylint: disable=protected-access
-    qSim._computeBase__calculate("start")
+    qSim._computeBase__calculate("pre")
     for protocol in qSim.subSys.keys():
-        qSim.subSys[protocol]._computeBase__calculate("start") # pylint: disable=protected-access
-        protocol._computeBase__calculate("start") # pylint: disable=protected-access
+        protocol._computeBase__calculate("pre") # pylint: disable=protected-access
+    calledFor = []
+    for protocol, qsystem in qSim.subSys.items():
+        if qsystem not in calledFor:
+            qsystem._computeBase__calculate("pre") # pylint: disable=protected-access
+            calledFor.append(qsystem)
     timeDependent(qSim)
-    qSim._computeBase__calculate("end")
+    qSim._computeBase__calculate("post")
     for protocol in qSim.subSys.keys():
-        qSim.subSys[protocol]._computeBase__calculate("end") # pylint: disable=protected-access
-        protocol._computeBase__calculate("end") # pylint: disable=protected-access
+        protocol._computeBase__calculate("post") # pylint: disable=protected-access
+    calledFor = []
+    for protocol, qsystem in qSim.subSys.items():
+        if qsystem not in calledFor:
+            qsystem._computeBase__calculate("post") # pylint: disable=protected-access
+            calledFor.append(qsystem)
 
 def timeDependent(qSim):
     td = False
@@ -113,8 +121,12 @@ def timeEvolDefault(qSim, td):
     if callable(qSim.evolFunc):
         qSim._Simulation__compute() # pylint: disable=protected-access
     for protocol in qSim.subSys.keys():
-        qSim.subSys[protocol]._computeBase__compute(protocol.currentState) # pylint: disable=protected-access
         protocol._computeBase__compute(protocol.currentState) # pylint: disable=protected-access
+    calledFor = []
+    for protocol, qsystem in qSim.subSys.items():
+        if qsystem not in calledFor:
+            qsystem._computeBase__compute(protocol.currentState) # pylint: disable=protected-access
+            calledFor.append(qsystem)
 
     if callable(qSim.evolFunc):
         for ind in range(qSim.stepCount):
@@ -125,8 +137,12 @@ def timeEvolDefault(qSim, td):
             qSim.evolFunc(qSim)
             qSim._Simulation__compute() # pylint: disable=protected-access
             for protocol in qSim.subSys.keys():
-                qSim.subSys[protocol]._computeBase__compute(protocol.currentState) # pylint: disable=protected-access
                 protocol._computeBase__compute(protocol.currentState) # pylint: disable=protected-access
+            calledFor = []
+            for protocol, qsystem in qSim.subSys.items():
+                if qsystem not in calledFor:
+                    qsystem._computeBase__compute(protocol.currentState) # pylint: disable=protected-access
+                    calledFor.append(qsystem)
 
 def timeEvolBase(qSim):
     for protocol in qSim.subSys.keys(): #pylint:disable=too-many-nested-blocks


Test patch:
diff --git a/tests/classes/Integration/tdd/_orDQDS.py b/tests/classes/Integration/tdd/_orDQDS.py
index abd78cf3..556722f4 100644
--- a/tests/classes/Integration/tdd/_orDQDS.py
+++ b/tests/classes/Integration/tdd/_orDQDS.py
@@ -68,12 +68,12 @@ def calcEigStat(op, ob):
 
 def calculateDig(protoc):
     calcEigStat(protoc.unitary(), protoc)
-dd.calculateStart = calculateDig
+dd.preCompute = calculateDig
 
 def calculateIde(sys):
     #calcEigStat(sys.totalHam, sys)
     calcEigStat(sys.totalHamiltonian, sys)
-ds.calculateStart = calculateIde
+ds.preCompute = calculateIde
 
 simulation.auxDict['totalDim'] = -1
 def calculateOps(sim):
@@ -84,7 +84,7 @@ def calculateOps(sim):
         sim.auxDict['totalDim'] = totalDim
         #sim.auxDict['cavPhoton'] = cav.freeMat
         sim.auxDict['cavPhoton'] = cav._freeMatrix
-simulation.calculateStart = calculateOps
+simulation.preCompute = calculateOps
 
 def compute(qsim, args):
     cavPhoton = qsim.auxDict['cavPhoton']
diff --git a/tests/classes/QuantumSystem/test_QuantumSystemDimension.py b/tests/classes/QuantumSystem/test_QuantumSystemDimension.py
index 8554f839..9d0bcf2a 100644
--- a/tests/classes/QuantumSystem/test_QuantumSystemDimension.py
+++ b/tests/classes/QuantumSystem/test_QuantumSystemDimension.py
@@ -6,6 +6,15 @@
 import quanguru.QuantumToolbox.operators as QOps
 from quanguru.classes.QTerms import QTerm
 
+def test_subSystemDimesionsAreRequiredForMatrixCreations():
+    qub = QSys.Qubit(frequency=1)
+    cav = QSys.Cavity(frequency=1)
+
+    comp = qub + cav
+
+    with pytest.raises(ValueError):
+        comp.totalHamiltonian.A
+
 @pytest.mark.parametrize('intType', [int, int64, int32])
 def test_dimensionHasToBeInt(intType):
     qsys1 = QSys.QuantumSystem(dimension=intType(rnd.randint(2, 20)))
diff --git a/tests/classes/QuantumSystem/test_addRemoveSubSysToQuantumSystem.py b/tests/classes/QuantumSystem/test_addRemoveSubSysToQuantumSystem.py
index 514001de..5acdc5ae 100644
--- a/tests/classes/QuantumSystem/test_addRemoveSubSysToQuantumSystem.py
+++ b/tests/classes/QuantumSystem/test_addRemoveSubSysToQuantumSystem.py
@@ -3,6 +3,11 @@
 import quanguru.classes.QSystem as QSys
 from quanguru.classes.QSys import QuantumSystemOld
 
+def test_addSubSysDoesNotAllowCircularAddition():
+    qs1 = QSys.QuantumSystem()
+    qs2 = QSys.QuantumSystem(subSys=qs1)
+    with pytest.raises(ValueError):
+        qs1.addSubSys(qs2)
 
 @pytest.mark.parametrize("cls", [
                          QuantumSystemOld,
diff --git a/tests/classes/QuantumSystem/test_initialStateCreation.py b/tests/classes/QuantumSystem/test_initialStateCreation.py
index c49cbe86..dd784b7c 100644
--- a/tests/classes/QuantumSystem/test_initialStateCreation.py
+++ b/tests/classes/QuantumSystem/test_initialStateCreation.py
@@ -6,6 +6,62 @@
 from quanguru.classes.QSys import QuantumSystemOld
 from quanguru.QuantumToolbox.linearAlgebra import tensorProd
 
+def test_initialStateInputLargerThanDimesion():
+    dimVal = rnd.randint(2, 10)
+
+    qsys = QSys.QuantumSystem(dimension=dimVal)
+
+    with pytest.warns(UserWarning):
+        qsys.initialState = dimVal+1
+    assert qsys.initialState is None
+
+    qsys.initialState = dimVal-1
+    assert qsys.initialState is not None
+
+    with pytest.warns(UserWarning):
+        qsys.initialState = dimVal+1
+    assert qsys.initialState is None
+
+    qsys.initialState = [dimVal-2, dimVal-1]
+    assert qsys.initialState is not None
+
+    with pytest.warns(UserWarning):
+        qsys.initialState = [dimVal-2, dimVal+1]
+    assert qsys.initialState is None
+
+    qsys.initialState = {0: 0.2, 1:0.8}
+    assert qsys.initialState is not None
+
+    with pytest.warns(UserWarning):
+        qsys.initialState = {0: 0.2, dimVal+1:0.8}
+    assert qsys.initialState is None
+
+    qsys1 = QSys.QuantumSystem(dimension=dimVal)
+    qsys2 = QSys.QuantumSystem(dimension=dimVal)
+
+    compSys = qsys1 + qsys2
+
+    with pytest.warns(UserWarning):
+        compSys.initialState = [dimVal, dimVal-1]
+    assert compSys.initialState is None
+
+    compSys.initialState = [dimVal-1, dimVal-1]
+    assert compSys.initialState is not None
+
+    with pytest.warns(UserWarning):
+        compSys.initialState = [[dimVal-2, dimVal+1], dimVal-1]
+    assert compSys.initialState is None
+
+    compSys.initialState = [[dimVal-2, dimVal-1], dimVal-1]
+    assert compSys.initialState is not None
+
+    with pytest.warns(UserWarning):
+        compSys.initialState = [{0: 0.2, dimVal+1:0.8}, dimVal-1]
+    assert compSys.initialState is None
+
+    compSys.initialState = [{0: 0.2, 1:0.8}, dimVal-1]
+    assert compSys.initialState is not None
+
 def test_initialStateOfNullSystem():
     # setting an initial state before the type of quantum system (single or composite) is determined
     # raises a ValueError
@@ -76,8 +132,8 @@ def test_createInitialStateForSingleSystem(cls):
                 initState[ind1][:, ind2] = 0
 
 @pytest.mark.parametrize("cls, mth", [
-                         [QuantumSystemOld, 'initialState'],
-                         [QuantumSystemOld, '_createAstate'],
+                         #[QuantumSystemOld, 'initialState'],
+                         #[QuantumSystemOld, '_createAstate'],
                          [QSys.QuantumSystem, 'initialState'],
                          [QSys.QuantumSystem, '_createAstate']
                          ])
@@ -167,7 +223,7 @@ def test_compositeStateInitialStateSetterInputsAndErrors():
         qsystem.initialState = [0, 1, 2, 0]
 
 @pytest.mark.parametrize("cls", [
-                         QuantumSystemOld,
+                         #QuantumSystemOld,
                          QSys.QuantumSystem
                          ])
 def test_createInitialStateForCompositeSystemThroughCompositeSystem1Layer(cls):
@@ -222,7 +278,7 @@ def test_createInitialStateForCompositeSystemThroughCompositeSystem1Layer(cls):
         assert np.allclose(initStateCreated[ind], initStateTarget[ind])
 
 @pytest.mark.parametrize("cls", [
-                         QuantumSystemOld,
+                         #QuantumSystemOld,
                          QSys.QuantumSystem
                          ])
 def test_createInitialStateForCompositeSystemThroughSubSystems1Layer(cls):
@@ -280,7 +336,7 @@ def test_createInitialStateForCompositeSystemThroughSubSystems1Layer(cls):
         assert np.allclose(initStateCreated[ind], initStateTarget[ind])
 
 @pytest.mark.parametrize("cls", [
-                         QuantumSystemOld,
+                         #QuantumSystemOld,
                          QSys.QuantumSystem
                          ])
 def test_createInitialStateForCompositeSystemThroughCompositeSystem2Layers(cls):
@@ -339,7 +395,7 @@ def test_createInitialStateForCompositeSystemThroughCompositeSystem2Layers(cls):
         assert np.allclose(initStateCreated[ind], initStateTarget[ind])
 
 @pytest.mark.parametrize("cls", [
-                         QuantumSystemOld,
+                         #QuantumSystemOld,
                          QSys.QuantumSystem
                          ])
 def test_createInitialStateForCompositeSystemThroughSubSystems2Layers(cls):
@@ -401,7 +457,7 @@ def test_createInitialStateForCompositeSystemThroughSubSystems2Layers(cls):
         assert np.allclose(initStateCreated[ind], initStateTarget[ind])
 
 @pytest.mark.parametrize("cls", [
-                         QuantumSystemOld,
+                         #QuantumSystemOld,
                          QSys.QuantumSystem
                          ])
 def test_createInitialStateForCompositeSystemThroughMixed2Layers(cls):
diff --git a/tests/classes/baseClasses/test_computeBase.py b/tests/classes/baseClasses/test_computeBase.py
index 2e826228..a5a5949f 100644
--- a/tests/classes/baseClasses/test_computeBase.py
+++ b/tests/classes/baseClasses/test_computeBase.py
@@ -18,29 +18,29 @@ def test_computeBaseFunctions(helpers):
     assert comp1._computeBase__compute(*strings[0:2]) == strings[0:2]
     assert comp2._computeBase__compute(*strings[0:2]) is None
     
-    assert comp1._computeBase__calculate('start', *strings[2:4]) is None
-    assert comp2._computeBase__calculate('start', *strings[2:4]) is None
-    comp1.calculateStart = _useTestComputeBaseFunctions
-    assert comp1._computeBase__calculate('start', *strings[2:4]) == strings[2:4]
-    assert comp2._computeBase__calculate('start', *strings[2:4]) is None
-
-    assert comp1._computeBase__calculate('end', *strings[4:6]) is None
-    assert comp2._computeBase__calculate('end', *strings[4:6]) is None
-    comp1.calculateEnd = _useTestComputeBaseFunctions
-    assert comp1._computeBase__calculate('end', *strings[4:6]) == strings[4:6]
-    assert comp2._computeBase__calculate('end', *strings[4:6]) is None
+    assert comp1._computeBase__calculate('pre', *strings[2:4]) is None
+    assert comp2._computeBase__calculate('pre', *strings[2:4]) is None
+    comp1.preCompute = _useTestComputeBaseFunctions
+    assert comp1._computeBase__calculate('pre', *strings[2:4]) == strings[2:4]
+    assert comp2._computeBase__calculate('pre', *strings[2:4]) is None
+
+    assert comp1._computeBase__calculate('post', *strings[4:6]) is None
+    assert comp2._computeBase__calculate('post', *strings[4:6]) is None
+    comp1.postCompute = _useTestComputeBaseFunctions
+    assert comp1._computeBase__calculate('post', *strings[4:6]) == strings[4:6]
+    assert comp2._computeBase__calculate('post', *strings[4:6]) is None
 
     comp1.compute = strings[0]
     with pytest.warns(Warning):
         assert comp1._computeBase__compute(*strings[4:6]) == strings[0]
 
-    comp1.calculateStart = strings[1]
+    comp1.preCompute = strings[1]
     with pytest.warns(Warning):
-        assert comp1._computeBase__calculate('start',*strings[4:6]) == strings[1]
+        assert comp1._computeBase__calculate('pre',*strings[4:6]) == strings[1]
 
-    comp1.calculateEnd = strings[2]
+    comp1.postCompute = strings[2]
     with pytest.warns(Warning):
-        assert comp1._computeBase__calculate('end',*strings[4:6]) == strings[2]
+        assert comp1._computeBase__calculate('post',*strings[4:6]) == strings[2]
 
 def test_computeBaseAlias(helpers):
     # here alias also adds the given string alias or strings in list of aliases to the qRes
diff --git a/tests/classes/test_modularSweep.py b/tests/classes/test_modularSweep.py
index 2ec9d8b4..2f9b9954 100644
--- a/tests/classes/test_modularSweep.py
+++ b/tests/classes/test_modularSweep.py
@@ -1,6 +1,31 @@
-from ast import operator
+import numpy as np
 import pytest
-from quanguru import QuantumSystem, sigmam
+from quanguru import QuantumSystem, sigmam, Qubit, freeEvolution
+
+# write a compute function for the qubit
+def computeREF(qub, st):
+    qub.qRes.result = 'storedOnce', 1
+
+def test_computeFunctionCallCount():
+    # create a qubit
+    qubit = Qubit(frequency=1)
+
+    # create a second protocol for the system
+    secondPro = freeEvolution(system=qubit)
+
+    # add the second protocol to the simulation
+    qubit.simulation.addSubSys(qubit, secondPro)
+    qubit.simTotalTime = 2*np.pi
+    qubit.simStepCount = 100
+    qubit.simulation.initialState = [0, 1]
+
+    qubit.compute = computeREF
+
+    # run the simulation
+    qubit.runSimulation()
+
+    # length of results is not 101 but 202
+    assert len(qubit.qRes.results['storedOnce']) == (qubit.simulation.stepCount+1)
 
 def test_noInitialStateRequiredWhenNoTimeEvolution():
     # create a quantum system