diff --git a/aqua/algorithm_introduction_with_vqe.ipynb b/aqua/algorithm_introduction_with_vqe.ipynb
index 6522f36..5bbc1d7 100644
--- a/aqua/algorithm_introduction_with_vqe.ipynb
+++ b/aqua/algorithm_introduction_with_vqe.ipynb
@@ -10,7 +10,7 @@
"\n",
"This notebook demonstrates how to use the `Qiskit Aqua` library to invoke an algorithm and process the result.\n",
"\n",
- "Further information may be found for the algorithms in the online [Aqua documentation](https://qiskit.org/documentation/aqua/algorithms.html).\n",
+ "Further information may be found for the algorithms in the online [Aqua documentation](https://qiskit.org/documentation/apidoc/qiskit.aqua.algorithms.html).\n",
"\n",
"Algorithms in Aqua can be created and run as usual in Python by constructing instances and calling methods.\n",
"\n",
@@ -65,9 +65,9 @@
"source": [
"### Let's start with a classical algorithm\n",
"\n",
- "We can now use the Operator without regard to how it was created. We chose to start this tutorial with a classical algorithm as it involves a little less setting up than the `VQE` quantum algorithm we will use later. Here we will use `ExactEigensolver` to compute the minimum eigenvalue of the Operator (Hamiltonian).\n",
+ "We can now use the Operator without regard to how it was created. We chose to start this tutorial with a classical algorithm as it involves a little less setting up than the `VQE` quantum algorithm we will use later. Here we will use `NumPyMinimumEigensolver` to compute the minimum eigenvalue of the Operator (Hamiltonian).\n",
"\n",
- "We construct an `ExactEigensolver` instance, passing in the Operator, and then call `run()` on in order to compute the result. All Aqua algorithms have the run method (it is defined by a base class which all algorithms extend) and while no parameters are need for classical algorithms a quantum algorithm will require a backend (quantum simulator or real device) on which it will be run. The `result` object returned is a dictionary. While the results fields can be different for algorithms solving different problems, and even within a given problem type there may be algorithm specific data returned, for a given problem the fields core to that problem are common across algorithms in order that different algorithms can be chosen to solve the same problem in a consistent fashion."
+ "We construct an `NumPyMinimumEigensolver` instance, passing in the Operator, and then call `run()` on in order to compute the result. All Aqua algorithms have the run method (it is defined by a base class which all algorithms extend) and while no parameters are need for classical algorithms a quantum algorithm will require a backend (quantum simulator or real device) on which it will be run. The `result` object returned is a dictionary. While the results fields can be different for algorithms solving different problems, and even within a given problem type there may be algorithm specific data returned, for a given problem the fields core to that problem are common across algorithms in order that different algorithms can be chosen to solve the same problem in a consistent fashion."
]
},
{
@@ -84,11 +84,11 @@
}
],
"source": [
- "from qiskit.aqua.algorithms import ExactEigensolver\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver\n",
"\n",
- "ee = ExactEigensolver(qubit_op)\n",
+ "ee = NumPyMinimumEigensolver(qubit_op)\n",
"result = ee.run()\n",
- "print(result['energy'])"
+ "print(result.eigenvalue.real)"
]
},
{
@@ -116,29 +116,29 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "-1.8572750302017973\n"
+ "-1.85727503014758\n"
]
}
],
"source": [
"from qiskit import BasicAer\n",
"from qiskit.aqua.algorithms import VQE\n",
- "from qiskit.aqua.components.variational_forms import RYRZ\n",
+ "from qiskit.circuit.library import TwoLocal\n",
"from qiskit.aqua.components.optimizers import L_BFGS_B\n",
"\n",
- "var_form = RYRZ(qubit_op.num_qubits, depth=3, entanglement='linear')\n",
+ "var_form = TwoLocal(qubit_op.num_qubits, ['ry', 'rz'], 'cz', reps=3, entanglement='linear')\n",
"optimizer = L_BFGS_B(maxfun=1000)\n",
"vqe = VQE(qubit_op, var_form, optimizer)\n",
"backend = BasicAer.get_backend('statevector_simulator')\n",
"result = vqe.run(backend)\n",
- "print(result['energy'])"
+ "print(result.eigenvalue.real)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "The following shows the above but using a QuantumInstance and setting up a default transpiler PassManager for circuit processing."
+ "The following shows the above but using a QuantumInstance."
]
},
{
@@ -150,21 +150,20 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "-1.8572750301967933\n"
+ "-1.85727503011329\n"
]
}
],
"source": [
"from qiskit.aqua import QuantumInstance\n",
- "from qiskit.transpiler import PassManager\n",
"\n",
- "var_form = RYRZ(qubit_op.num_qubits, depth=3, entanglement='linear')\n",
+ "var_form = TwoLocal(qubit_op.num_qubits, ['ry', 'rz'], 'cz', reps=3, entanglement='linear')\n",
"optimizer = L_BFGS_B(maxfun=1000)\n",
"vqe = VQE(qubit_op, var_form, optimizer)\n",
"backend = BasicAer.get_backend('statevector_simulator')\n",
- "qi = QuantumInstance(backend=backend, pass_manager=PassManager())\n",
+ "qi = QuantumInstance(backend=backend)\n",
"result = vqe.run(qi)\n",
- "print(result['energy'])"
+ "print(result.eigenvalue.real)"
]
},
{
@@ -175,13 +174,6 @@
"\n",
"This completes an introduction to programming and using Aqua algorithms. There are plenty of other tutorials showing Aqua being used to solve other problems, including Machine Learning, Finance, Optimization and Chemistry. We encourage you to explore these further and see that various capabilities and techniques employed."
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
diff --git a/aqua/eoh.ipynb b/aqua/eoh.ipynb
index 0f4678b..8e9c5a8 100644
--- a/aqua/eoh.ipynb
+++ b/aqua/eoh.ipynb
@@ -8,7 +8,7 @@
"\n",
"This notebook demonstrates how to use the `Qiskit Aqua` library to invoke the EOH algorithm and process the result.\n",
"\n",
- "Further information may be found for the algorithms in the online [Aqua documentation](https://qiskit.org/documentation/aqua/algorithms.html).\n",
+ "Further information may be found for the algorithms in the online [Aqua documentation](https://qiskit.org/documentation/apidoc/qiskit.aqua.algorithms.html).\n",
"\n",
"For this particular demonstration, we illustrate the `EOH` algorithm. First, two `WeightedPauliOperator` instances we created are randomly generated Hamiltonians."
]
@@ -17,16 +17,7 @@
"cell_type": "code",
"execution_count": 1,
"metadata": {},
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "Converting time from a MatrixOperator to a Pauli-type Operator grows exponentially. If you are converting a system with large number of qubits, it will take time. You can turn on DEBUG logging to check the progress.\n",
- "Converting time from a MatrixOperator to a Pauli-type Operator grows exponentially. If you are converting a system with large number of qubits, it will take time. You can turn on DEBUG logging to check the progress.\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"import numpy as np\n",
"from qiskit import BasicAer\n",
@@ -79,7 +70,7 @@
"output_type": "stream",
"text": [
"The result is\n",
- "{'avg': (3.024786762103841-1.1976592430219064e-16j), 'std_dev': 0.0}\n"
+ "{'avg': (3.3315538738820436-1.1573250579094587e-16j), 'std_dev': 0.0}\n"
]
}
],
diff --git a/aqua/index.ipynb b/aqua/index.ipynb
index 8de2c8b..b32c495 100644
--- a/aqua/index.ipynb
+++ b/aqua/index.ipynb
@@ -36,7 +36,7 @@
"\n",
"The following notebooks are noted:\n",
"\n",
- "* [LiH plot using ExactEigensolver](../chemistry/energyplot.ipynb) One step up from getting started\n",
+ "* [LiH plot using NumPyMinimumEigensolver](../chemistry/energyplot.ipynb) One step up from getting started\n",
"* [H2 dissociation curve using VQE with UCCSD](../chemistry/h2_uccsd.ipynb)\n",
"* [LiH dissociation curve using VQE with UCCSD](../chemistry/lih_uccsd.ipynb)\n",
"* [NaH dissociation curve using VQE with UCCSD](../chemistry/nah_uccsd.ipynb)\n",
diff --git a/aqua/simulations_with_noise_and_measurement_error_mitigation.ipynb b/aqua/simulations_with_noise_and_measurement_error_mitigation.ipynb
index d23a716..639d1e1 100644
--- a/aqua/simulations_with_noise_and_measurement_error_mitigation.ipynb
+++ b/aqua/simulations_with_noise_and_measurement_error_mitigation.ipynb
@@ -28,10 +28,9 @@
"\n",
"from qiskit import Aer, IBMQ\n",
"from qiskit.aqua import QuantumInstance, aqua_globals\n",
- "from qiskit.aqua.algorithms.adaptive import VQE\n",
- "from qiskit.aqua.algorithms.classical import ExactEigensolver\n",
+ "from qiskit.aqua.algorithms import VQE, NumPyMinimumEigensolver\n",
"from qiskit.aqua.components.optimizers import SPSA\n",
- "from qiskit.aqua.components.variational_forms import RY\n",
+ "from qiskit.circuit.library import TwoLocal\n",
"from qiskit.aqua.operators import WeightedPauliOperator\n"
]
},
@@ -76,9 +75,9 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "As the above problem is still easily tractable classically we can use ExactEigensolver to compute a reference value so we can compare later the results. \n",
+ "As the above problem is still easily tractable classically we can use NumPyMinimumEigensolver to compute a reference value so we can compare later the results. \n",
"\n",
- "_(A copy of the operator is used below as what is passed to ExactEigensolver will be converted to matrix form and we want the operator we use later, on the Aer qasm simuator, to be in paulis form.)_"
+ "_(A copy of the operator is used below as what is passed to NumPyMinimumEigensolver will be converted to matrix form and we want the operator we use later, on the Aer qasm simuator, to be in paulis form.)_"
]
},
{
@@ -97,9 +96,9 @@
}
],
"source": [
- "ee = ExactEigensolver(qubit_op.copy())\n",
+ "ee = NumPyMinimumEigensolver(qubit_op.copy())\n",
"result = ee.run()\n",
- "ref = result['energy']\n",
+ "ref = result.eigenvalue.real\n",
"print('Reference value: {}'.format(ref))"
]
},
@@ -121,8 +120,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "VQE on Aer qasm simulator (no noise): -1.8598749159580135\n",
- "Delta from reference: -0.0025998857556337462\n"
+ "VQE on Aer qasm simulator (no noise): -1.85727458950539\n",
+ "Delta from reference: 4.406969897896573e-07\n"
]
}
],
@@ -138,11 +137,11 @@
"\n",
"aqua_globals.random_seed = 167\n",
"optimizer = SPSA(max_trials=200)\n",
- "var_form = RY(num_qubits)\n",
+ "var_form = TwoLocal(num_qubits, 'ry', 'cz')\n",
"vqe = VQE(qubit_op, var_form, optimizer, callback=store_intermediate_result)\n",
"vqe_result = vqe.run(quantum_instance)\n",
- "print('VQE on Aer qasm simulator (no noise): {}'.format(vqe_result['energy']))\n",
- "print('Delta from reference: {}'.format(vqe_result['energy']-ref))"
+ "print('VQE on Aer qasm simulator (no noise): {}'.format(vqe_result.eigenvalue.real))\n",
+ "print('Delta from reference: {}'.format(vqe_result.eigenvalue.real-ref))"
]
},
{
@@ -161,7 +160,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -204,21 +203,21 @@
"text": [
"NoiseModel:\n",
" Basis gates: ['cx', 'id', 'u2', 'u3']\n",
- " Instructions with noise: ['u2', 'cx', 'measure', 'u3']\n",
+ " Instructions with noise: ['u3', 'cx', 'measure', 'id', 'u2']\n",
" Qubits with noise: [0, 1, 2, 3, 4]\n",
- " Specific qubit errors: [('u2', [0]), ('u2', [1]), ('u2', [2]), ('u2', [3]), ('u2', [4]), ('u3', [0]), ('u3', [1]), ('u3', [2]), ('u3', [3]), ('u3', [4]), ('cx', [1, 0]), ('cx', [2, 0]), ('cx', [2, 1]), ('cx', [3, 2]), ('cx', [3, 4]), ('cx', [4, 2]), ('measure', [0]), ('measure', [1]), ('measure', [2]), ('measure', [3]), ('measure', [4])]\n",
- "VQE on Aer qasm simulator (with noise): -1.6782227276010517\n",
- "Delta from reference: 0.17905230260132798\n"
+ " Specific qubit errors: [('id', [0]), ('id', [1]), ('id', [2]), ('id', [3]), ('id', [4]), ('u2', [0]), ('u2', [1]), ('u2', [2]), ('u2', [3]), ('u2', [4]), ('u3', [0]), ('u3', [1]), ('u3', [2]), ('u3', [3]), ('u3', [4]), ('cx', [0, 1]), ('cx', [0, 2]), ('cx', [1, 0]), ('cx', [1, 2]), ('cx', [2, 0]), ('cx', [2, 1]), ('cx', [2, 3]), ('cx', [2, 4]), ('cx', [3, 2]), ('cx', [3, 4]), ('cx', [4, 2]), ('cx', [4, 3]), ('measure', [0]), ('measure', [1]), ('measure', [2]), ('measure', [3]), ('measure', [4])]\n",
+ "VQE on Aer qasm simulator (with noise): -1.83875773889128\n",
+ "Delta from reference: 0.018517291311099804\n"
]
}
],
"source": [
- "from qiskit.providers.aer import noise\n",
+ "from qiskit.providers.aer.noise import NoiseModel\n",
"\n",
"provider = IBMQ.load_account()\n",
- "device = provider.get_backend('ibmqx4')\n",
+ "device = provider.get_backend('ibmqx2')\n",
"coupling_map = device.configuration().coupling_map\n",
- "noise_model = noise.device.basic_device_noise_model(device.properties())\n",
+ "noise_model = NoiseModel.from_backend(device)\n",
"basis_gates = noise_model.basis_gates\n",
"\n",
"print(noise_model)\n",
@@ -235,11 +234,11 @@
"\n",
"aqua_globals.random_seed = 167\n",
"optimizer = SPSA(max_trials=200)\n",
- "var_form = RY(num_qubits)\n",
+ "var_form = TwoLocal(num_qubits, 'ry', 'cz')\n",
"vqe = VQE(qubit_op, var_form, optimizer, callback=store_intermediate_result1)\n",
"vqe_result1 = vqe.run(quantum_instance)\n",
- "print('VQE on Aer qasm simulator (with noise): {}'.format(vqe_result1['energy']))\n",
- "print('Delta from reference: {}'.format(vqe_result1['energy']-ref))"
+ "print('VQE on Aer qasm simulator (with noise): {}'.format(vqe_result1.eigenvalue.real))\n",
+ "print('Delta from reference: {}'.format(vqe_result1.eigenvalue.real-ref))"
]
},
{
@@ -249,7 +248,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -290,8 +289,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "VQE on Aer qasm simulator (with noise and measurement error mitigation): -1.8551030559231287\n",
- "Delta from reference: 0.0021719742792509766\n"
+ "VQE on Aer qasm simulator (with noise and measurement error mitigation): (-1.84355006772247+0j)\n",
+ "Delta from reference: 0.01372496247990962\n"
]
}
],
@@ -311,11 +310,11 @@
"\n",
"aqua_globals.random_seed = 167\n",
"optimizer = SPSA(max_trials=200)\n",
- "var_form = RY(num_qubits)\n",
+ "var_form = TwoLocal(num_qubits, 'ry', 'cz')\n",
"vqe = VQE(qubit_op, var_form, optimizer, callback=store_intermediate_result1)\n",
"vqe_result1 = vqe.run(quantum_instance)\n",
- "print('VQE on Aer qasm simulator (with noise and measurement error mitigation): {}'.format(vqe_result1['energy']))\n",
- "print('Delta from reference: {}'.format(vqe_result1['energy']-ref))"
+ "print('VQE on Aer qasm simulator (with noise and measurement error mitigation): {}'.format(vqe_result1.eigenvalue))\n",
+ "print('Delta from reference: {}'.format(vqe_result1.eigenvalue.real-ref))"
]
},
{
@@ -325,7 +324,7 @@
"outputs": [
{
"data": {
- "image/png": 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+ "image/png": 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\n",
"text/plain": [
""
]
@@ -352,13 +351,6 @@
"\n",
"Note: if you are running an experiment using the declarative approach, with a dictionary/json, there is a keyword `measurement_error_mitigation` in the `problem` section that let you turn ON/OFF the measurement error mitigation, simply set it to `True`.\n"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
diff --git a/aqua/vqe2iqpe.ipynb b/aqua/vqe2iqpe.ipynb
index 124477c..1243e08 100644
--- a/aqua/vqe2iqpe.ipynb
+++ b/aqua/vqe2iqpe.ipynb
@@ -21,9 +21,9 @@
"from qiskit import BasicAer\n",
"from qiskit.transpiler import PassManager\n",
"from qiskit.aqua import QuantumInstance\n",
- "from qiskit.aqua.algorithms import VQE, ExactEigensolver, IQPE\n",
+ "from qiskit.aqua.algorithms import VQE, NumPyMinimumEigensolver, IQPE\n",
"from qiskit.aqua.operators import WeightedPauliOperator\n",
- "from qiskit.aqua.components.variational_forms import RYRZ\n",
+ "from qiskit.circuit.library import TwoLocal\n",
"from qiskit.aqua.components.optimizers import SPSA\n",
"from qiskit.aqua.components.initial_states.var_form_based import VarFormBased"
]
@@ -57,7 +57,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We can now use the Operator without regard to how it was created. First we will use the ExactEigensolver to compute the reference ground energy level."
+ "We can now use the Operator without regard to how it was created. First we will use the NumPyMinimumEigensolver to compute the reference ground energy level."
]
},
{
@@ -74,8 +74,8 @@
}
],
"source": [
- "result_reference = ExactEigensolver(qubit_op).run()\n",
- "print('The reference ground energy level is {}.'.format(result_reference['energy']))"
+ "result_reference = NumPyMinimumEigensolver(qubit_op).run()\n",
+ "print('The reference ground energy level is {}.'.format(result_reference.eigenvalue.real))"
]
},
{
@@ -96,7 +96,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "VQE estimated the ground energy to be -1.8244194269951426.\n"
+ "VQE estimated the ground energy to be -1.7368866995757903.\n"
]
}
],
@@ -106,7 +106,7 @@
"backend = BasicAer.get_backend('qasm_simulator')\n",
"\n",
"var_form_depth = 3\n",
- "var_form = RYRZ(qubit_op.num_qubits, var_form_depth)\n",
+ "var_form = TwoLocal(qubit_op.num_qubits, ['ry', 'rz'], 'cz', reps=var_form_depth)\n",
"\n",
"spsa_max_trials=10\n",
"optimizer = SPSA(max_trials=spsa_max_trials)\n",
@@ -115,7 +115,7 @@
"\n",
"quantum_instance = QuantumInstance(backend)\n",
"result_vqe = vqe.run(quantum_instance)\n",
- "print('VQE estimated the ground energy to be {}.'.format(result_vqe['energy']))"
+ "print('VQE estimated the ground energy to be {}.'.format(result_vqe.eigenvalue.real))"
]
},
{
@@ -131,7 +131,7 @@
"metadata": {},
"outputs": [],
"source": [
- "state_in = VarFormBased(var_form, result_vqe['opt_params'])"
+ "state_in = VarFormBased(var_form, result_vqe.optimal_point)"
]
},
{
@@ -164,7 +164,7 @@
"quantum_instance = QuantumInstance(backend, shots=100, seed_simulator=random_seed, seed_transpiler=random_seed)\n",
"result_iqpe = iqpe.run(quantum_instance)\n",
"print(\"Continuing with VQE's result, IQPE estimated the ground energy to be {}.\".format(\n",
- " result_iqpe['energy']))"
+ " result_iqpe.eigenvalue.real))"
]
},
{
diff --git a/aqua/vqe_convergence.ipynb b/aqua/vqe_convergence.ipynb
index 94a5760..776dfc6 100644
--- a/aqua/vqe_convergence.ipynb
+++ b/aqua/vqe_convergence.ipynb
@@ -25,11 +25,10 @@
"from qiskit import BasicAer\n",
"from qiskit.aqua.operators import WeightedPauliOperator\n",
"from qiskit.aqua import QuantumInstance, aqua_globals\n",
- "from qiskit.aqua.algorithms.adaptive import VQE\n",
- "from qiskit.aqua.algorithms.classical import ExactEigensolver\n",
+ "from qiskit.aqua.algorithms import VQE, NumPyMinimumEigensolver\n",
"from qiskit.aqua.components.initial_states import Zero\n",
"from qiskit.aqua.components.optimizers import COBYLA, L_BFGS_B, SLSQP\n",
- "from qiskit.aqua.components.variational_forms import RY"
+ "from qiskit.circuit.library import TwoLocal"
]
},
{
@@ -90,7 +89,7 @@
" optimizer = optimizers[i]()\n",
" print('\\rOptimizer: {} '.format(type(optimizer).__name__), end='')\n",
" init_state = Zero(num_qubits)\n",
- " var_form = RY(num_qubits, initial_state=init_state)\n",
+ " var_form = TwoLocal(num_qubits, 'ry', 'cz', initial_state=init_state)\n",
"\n",
" counts = []\n",
" values = []\n",
@@ -124,7 +123,7 @@
{
"data": {
"text/plain": [
- ""
+ ""
]
},
"execution_count": 4,
@@ -133,7 +132,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -158,7 +157,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Finally since the above problem is still easily tractable classically we can use ExactEigensolver to compute a reference value for the solution. We can now plot the difference from the resultant exact solution as the energy converges with VQE towards the minimum value which should be that exact classical solution."
+ "Finally since the above problem is still easily tractable classically we can use NumPyMinimumEigensolver to compute a reference value for the solution. We can now plot the difference from the resultant exact solution as the energy converges with VQE towards the minimum value which should be that exact classical solution."
]
},
{
@@ -175,9 +174,9 @@
}
],
"source": [
- "ee = ExactEigensolver(qubit_op)\n",
+ "ee = NumPyMinimumEigensolver(qubit_op)\n",
"result = ee.run()\n",
- "ref = result['energy']\n",
+ "ref = result.eigenvalue.real\n",
"print('Reference value: {}'.format(ref))"
]
},
@@ -189,7 +188,7 @@
{
"data": {
"text/plain": [
- ""
+ ""
]
},
"execution_count": 6,
@@ -198,7 +197,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -219,13 +218,6 @@
"pylab.yscale('log')\n",
"pylab.legend(loc='upper right')"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
@@ -244,7 +236,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.8"
+ "version": "3.7.4"
}
},
"nbformat": 4,
diff --git a/chemistry/LiH_with_qubit_tapering_and_uccsd.ipynb b/chemistry/LiH_with_qubit_tapering_and_uccsd.ipynb
index 8c70c91..28797a6 100644
--- a/chemistry/LiH_with_qubit_tapering_and_uccsd.ipynb
+++ b/chemistry/LiH_with_qubit_tapering_and_uccsd.ipynb
@@ -15,7 +15,16 @@
"cell_type": "code",
"execution_count": 1,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Couldn't find cython int routine\n",
+ "Couldn't find cython int routine\n"
+ ]
+ }
+ ],
"source": [
"# import common packages\n",
"import itertools\n",
@@ -25,18 +34,15 @@
"\n",
"from qiskit import BasicAer\n",
"\n",
- "from qiskit.aqua import set_qiskit_aqua_logging, QuantumInstance\n",
+ "from qiskit.aqua import QuantumInstance\n",
"from qiskit.aqua.operators import Z2Symmetries, WeightedPauliOperator\n",
- "from qiskit.aqua.algorithms.adaptive import VQE\n",
- "from qiskit.aqua.algorithms.classical import ExactEigensolver\n",
+ "from qiskit.aqua.algorithms import VQE, NumPyMinimumEigensolver\n",
"from qiskit.aqua.components.optimizers import COBYLA\n",
"\n",
"from qiskit.chemistry.drivers import PySCFDriver, UnitsType\n",
"from qiskit.chemistry.core import Hamiltonian, TransformationType, QubitMappingType \n",
"from qiskit.chemistry.components.variational_forms import UCCSD\n",
- "from qiskit.chemistry.components.initial_states import HartreeFock\n",
- "\n",
- "# set_qiskit_aqua_logging(logging.INFO)"
+ "from qiskit.chemistry.components.initial_states import HartreeFock"
]
},
{
@@ -61,7 +67,7 @@
"output_type": "stream",
"text": [
"Originally requires 8 qubits\n",
- "Representation: paulis, qubits: 8, size: 276\n"
+ "Electronic Hamiltonian: Representation: paulis, qubits: 8, size: 276\n"
]
}
],
@@ -180,10 +186,9 @@
}
],
"source": [
- "ee = ExactEigensolver(qubit_op, k=1)\n",
+ "ee = NumPyMinimumEigensolver(qubit_op)\n",
"result = core.process_algorithm_result(ee.run())\n",
- "for line in result[0]:\n",
- " print(line)"
+ "print(result)"
]
},
{
@@ -214,8 +219,8 @@
"smallest_eig_value = 99999999999999\n",
"smallest_idx = -1\n",
"for idx in range(len(tapered_ops)):\n",
- " ee = ExactEigensolver(tapered_ops[idx], k=1)\n",
- " curr_value = ee.run()['energy']\n",
+ " ee = NumPyMinimumEigensolver(tapered_ops[idx])\n",
+ " curr_value = ee.run().eigenvalue.real\n",
" if curr_value < smallest_eig_value:\n",
" smallest_eig_value = curr_value\n",
" smallest_idx = idx\n",
@@ -284,24 +289,23 @@
"text": [
"=== GROUND STATE ENERGY ===\n",
" \n",
- "* Electronic ground state energy (Hartree): -8.874303841496\n",
- " - computed part: -1.078084272725\n",
+ "* Electronic ground state energy (Hartree): -8.874303856889\n",
+ " - computed part: -1.078084288118\n",
" - frozen energy part: -7.796219568771\n",
" - particle hole part: 0.0\n",
"~ Nuclear repulsion energy (Hartree): 0.992207270475\n",
- "> Total ground state energy (Hartree): -7.882096571021\n",
+ "> Total ground state energy (Hartree): -7.882096586414\n",
"The parameters for UCCSD are:\n",
- "[ 0.03803094 0.00360661 0.0382837 0.00369849 -0.03608325 0.05942172\n",
- " -0.02729715 -0.02732059 0.05965191 -0.11498381]\n"
+ "[ 0.03815735 0.00366554 0.03827111 0.00369737 -0.03604811 0.0594364\n",
+ " -0.02741369 -0.02735108 0.05956488 -0.11497243]\n"
]
}
],
"source": [
"result = core.process_algorithm_result(algo_result)\n",
- "for line in result[0]:\n",
- " print(line)\n",
+ "print(result)\n",
"\n",
- "print(\"The parameters for UCCSD are:\\n{}\".format(algo_result['opt_params']))"
+ "print(\"The parameters for UCCSD are:\\n{}\".format(algo_result.optimal_point))"
]
},
{
@@ -314,9 +318,9 @@
],
"metadata": {
"kernelspec": {
- "display_name": "Quantum (Dev)",
+ "display_name": "Python 3",
"language": "python",
- "name": "quantum-dev"
+ "name": "python3"
},
"language_info": {
"codemirror_mode": {
@@ -328,7 +332,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.3"
+ "version": "3.7.4"
}
},
"nbformat": 4,
diff --git a/chemistry/ParticleHoleTransformation.ipynb b/chemistry/ParticleHoleTransformation.ipynb
index e58512f..f78e413 100644
--- a/chemistry/ParticleHoleTransformation.ipynb
+++ b/chemistry/ParticleHoleTransformation.ipynb
@@ -22,13 +22,11 @@
"import numpy as np\n",
"\n",
"from qiskit import BasicAer\n",
- "from qiskit.transpiler import PassManager\n",
"\n",
- "from qiskit.aqua import Operator, QuantumInstance\n",
- "from qiskit.aqua.algorithms.adaptive import VQE\n",
- "from qiskit.aqua.algorithms.classical import ExactEigensolver\n",
+ "from qiskit.aqua import QuantumInstance\n",
+ "from qiskit.aqua.algorithms import VQE, NumPyMinimumEigensolver\n",
"from qiskit.aqua.components.optimizers import L_BFGS_B\n",
- "from qiskit.aqua.components.variational_forms import RY\n",
+ "from qiskit.circuit.library import TwoLocal\n",
"\n",
"from qiskit.chemistry import FermionicOperator\n",
"from qiskit.chemistry.drivers import PySCFDriver, UnitsType"
@@ -43,7 +41,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -56,19 +54,19 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We first create the FermionicOperator and use ExactEigensolver with qubit operator we get from it via a jordan wigner mapping to compute the ground state energy. Here this is the electronic component of the total ground state energy (the total ground state energy would include the nuclear repulsion energy we can get from the molecule that comes from the driver)"
+ "We first create the FermionicOperator and use NumPyMinimumEigensolver with qubit operator we get from it via a jordan wigner mapping to compute the ground state energy. Here this is the electronic component of the total ground state energy (the total ground state energy would include the nuclear repulsion energy we can get from the molecule that comes from the driver)"
]
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "The exact ground state energy is: -1.8572750302023795\n",
+ "The exact ground state energy is: -1.8572750302023824\n",
"The Hartree Fock Electron Energy is: -1.8369679912029842\n"
]
}
@@ -78,13 +76,11 @@
"qubitOp_jw = ferOp.mapping(map_type='JORDAN_WIGNER', threshold=0.00000001)\n",
"qubitOp_jw.chop(10**-10)\n",
"\n",
- "# Using exact eigensolver to get the smallest eigenvalue\n",
- "exact_eigensolver = ExactEigensolver(qubitOp_jw, k=1)\n",
+ "# Using NumPyMinimumEigensolver to get the smallest eigenvalue\n",
+ "exact_eigensolver = NumPyMinimumEigensolver(qubitOp_jw)\n",
"ret = exact_eigensolver.run()\n",
"\n",
- "# print(qubitOp_jw.print_operators())\n",
- "\n",
- "print('The exact ground state energy is: {}'.format(ret['energy']))\n",
+ "print('The exact ground state energy is: {}'.format(ret.eigenvalue.real))\n",
"print('The Hartree Fock Electron Energy is: {}'.format(molecule.hf_energy - molecule.nuclear_repulsion_energy))"
]
},
@@ -97,32 +93,31 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Energy shift is: 1.8369679912029846\n",
- "The exact ground state energy in PH basis is -0.020307038999396183\n",
- "The exact ground state energy in PH basis is -1.8572750302023808 (with energy_shift)\n"
+ "Energy shift is: 1.8369679912029837\n",
+ "The exact ground state energy in PH basis is -0.020307038999395295\n",
+ "The exact ground state energy in PH basis is -1.857275030202379 (with energy_shift)\n"
]
}
],
"source": [
"# particle hole transformation\n",
- "newferOp, energy_shift = ferOp.particle_hole_transformation(num_particles=2)\n",
+ "newferOp, energy_shift = ferOp.particle_hole_transformation([molecule.num_alpha, molecule.num_beta])\n",
"print('Energy shift is: {}'.format(energy_shift))\n",
"newqubitOp_jw = newferOp.mapping(map_type='JORDAN_WIGNER', threshold=0.00000001)\n",
"newqubitOp_jw.chop(10**-10)\n",
"\n",
- "exact_eigensolver = ExactEigensolver(newqubitOp_jw, k=1)\n",
+ "exact_eigensolver = NumPyMinimumEigensolver(newqubitOp_jw)\n",
"ret = exact_eigensolver.run()\n",
"\n",
- "# print(newqubitOp_jw.print_operators())\n",
- "print('The exact ground state energy in PH basis is {}'.format(ret['energy']))\n",
- "print('The exact ground state energy in PH basis is {} (with energy_shift)'.format(ret['energy'] - energy_shift))"
+ "print('The exact ground state energy in PH basis is {}'.format(ret.eigenvalue.real))\n",
+ "print('The exact ground state energy in PH basis is {} (with energy_shift)'.format(ret.eigenvalue.real - energy_shift))"
]
},
{
@@ -134,19 +129,19 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Minimum value: -0.020307038771711697\n",
- "Minimum value: -1.8572750299746963\n",
- "Parameters: [-0.62024568 -0.94461634 -0.12822854 -1.33174693 -3.12835752 -2.41119768\n",
- " 0.67926104 2.44344768 0.72721421 -2.76518798 -1.08251803 -1.75962366\n",
- " 0.54861203 1.8995056 3.04269648 -1.75046119 0.16409288 0.68204022\n",
- " -0.07661803 -0.76359574 -1.56412942 -2.02324628 1.50961019 1.31452025]\n"
+ "Minimum value: -0.02030703892349\n",
+ "Minimum value: -1.8572750301264738\n",
+ "Parameters: [ 5.28462733 3.50885712 1.19186098 -1.31257921 5.55321399 -0.49555501\n",
+ " -5.10169198 -5.4784798 -0.88598656 4.05399968 3.26356323 6.05812004\n",
+ " 3.41375049 3.10439713 -1.10313698 -0.57661347 2.65713956 -1.90680973\n",
+ " 6.10125861 0.49985016 4.83574309 -2.15677133 -2.96541528 -2.28211722]\n"
]
}
],
@@ -156,26 +151,19 @@
"lbfgs = L_BFGS_B(maxfun=1000, factr=10, iprint=10)\n",
"\n",
"# setup variational form generator (generate trial circuits for VQE)\n",
- "var_form = RY(newqubitOp_jw.num_qubits, 5, entangler_map = [[0, 1], [1, 2], [2, 3]])\n",
+ "var_form = TwoLocal(newqubitOp_jw.num_qubits, 'ry', 'cz', reps=5, entanglement=[[0, 1], [1, 2], [2, 3]])\n",
"\n",
"# setup VQE with operator, variational form, and optimizer\n",
- "vqe_algorithm = VQE(newqubitOp_jw, var_form, lbfgs, 'matrix')\n",
+ "vqe_algorithm = VQE(newqubitOp_jw, var_form, lbfgs)\n",
"\n",
"backend = BasicAer.get_backend('statevector_simulator')\n",
- "quantum_instance = QuantumInstance(backend, pass_manager=PassManager())\n",
+ "quantum_instance = QuantumInstance(backend)\n",
"\n",
"results = vqe_algorithm.run(quantum_instance)\n",
- "print(\"Minimum value: {}\".format(results['eigvals'][0].real))\n",
- "print(\"Minimum value: {}\".format(results['eigvals'][0].real - energy_shift))\n",
- "print(\"Parameters: {}\".format(results['opt_params']))"
+ "print(\"Minimum value: {}\".format(results.eigenvalue.real))\n",
+ "print(\"Minimum value: {}\".format(results.eigenvalue.real - energy_shift))\n",
+ "print(\"Parameters: {}\".format(results.optimal_point))"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
@@ -194,7 +182,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.1"
+ "version": "3.7.4"
}
},
"nbformat": 4,
diff --git a/chemistry/PySCFChemistryDriver.ipynb b/chemistry/PySCFChemistryDriver.ipynb
index 991697b..72c891f 100644
--- a/chemistry/PySCFChemistryDriver.ipynb
+++ b/chemistry/PySCFChemistryDriver.ipynb
@@ -10,7 +10,7 @@
"\n",
"Drivers include Gaussian 16, PyQuante, PySCF, PSI4 and HDF5. The main Qiskit documentation has more information on [drivers](https://qiskit.org/documentation/aqua/chemistry/qiskit_chemistry_drivers.html).\n",
"\n",
- "For non-Windows platforms (where PySCF has no pre-built packages), the PySCF driver is installed as a dependent when you `pip install qiskit-chemistry`. HDF5 support is built into Qiskit Chemistry. If you would like/prefer to use one of the other drivers then refer to the above link for installation and usage guidance.\n",
+ "For non-Windows platforms (where PySCF has no pre-built packages), the PySCF driver is installed as a dependent when you `pip install qiskit-aqua`. HDF5 support is built into Qiskit Aqua. If you would like/prefer to use one of the other drivers then refer to the above link for installation and usage guidance.\n",
"\n",
"Note: drivers were written to allow existing users of them to leverage creating the molecular input in a native way for the driver. While Multiplicity (2S+1) is commonly used to specify the overall spin of the molecule, PySCF uses Spin (2S) if you are programming directly with its API and that is what is exposed here. For a singlet system, as in the example below i.e. equal numbers of alpha and beta electrons, the overall spin here is 0 and 2S is 0 (Multiplicity would have been 1).\n",
"\n",
@@ -26,13 +26,11 @@
"import numpy as np\n",
"\n",
"from qiskit import BasicAer\n",
- "from qiskit.transpiler import PassManager\n",
"\n",
- "from qiskit.aqua import Operator, QuantumInstance\n",
- "from qiskit.aqua.algorithms.adaptive import VQE\n",
- "from qiskit.aqua.algorithms.classical import ExactEigensolver\n",
+ "from qiskit.aqua import QuantumInstance\n",
+ "from qiskit.aqua.algorithms import VQE, NumPyMinimumEigensolver\n",
"from qiskit.aqua.components.optimizers import L_BFGS_B\n",
- "from qiskit.aqua.components.variational_forms import RYRZ\n",
+ "from qiskit.circuit.library import TwoLocal\n",
"\n",
"from qiskit.chemistry import FermionicOperator\n",
"from qiskit.chemistry.drivers import PySCFDriver, UnitsType"
@@ -55,12 +53,22 @@
"cell_type": "code",
"execution_count": 3,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"# get fermionic operator and mapping to qubit operator\n",
"ferOp = FermionicOperator(h1=molecule.one_body_integrals, h2=molecule.two_body_integrals)\n",
"qubitOp = ferOp.mapping(map_type='JORDAN_WIGNER', threshold=0.00000001)\n",
- "qubitOp.to_matrix()\n",
"qubitOp.chop(10**-10)"
]
},
@@ -68,52 +76,36 @@
"cell_type": "code",
"execution_count": 4,
"metadata": {},
- "outputs": [],
- "source": [
- "# If you do have the driver installed or would like to start with a random Hamiltonian\n",
- "# SIZE=4\n",
- "# matrix = np.random.random((SIZE,SIZE))\n",
- "# qubitOp = Operator(matrix=matrix)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "The exact ground state energy is: -1.8572750302023784\n"
+ "The exact ground state energy is: -1.8572750302023824\n"
]
}
],
"source": [
"# Using exact eigensolver to get the smallest eigenvalue\n",
- "exact_eigensolver = ExactEigensolver(qubitOp, k=1)\n",
+ "exact_eigensolver = NumPyMinimumEigensolver(qubitOp)\n",
"ret = exact_eigensolver.run()\n",
- "print('The exact ground state energy is: {}'.format(ret['eigvals'][0].real))"
+ "print('The exact ground state energy is: {}'.format(ret.eigenvalue.real))"
]
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Minimum value: -1.8532124263217393\n",
- "Parameters: [-2.13953054 0.70800218 -0.17157494 -2.67458466 2.43244041 0.04126769\n",
- " 0.34740155 -0.04775077 -1.151147 2.76097941 -1.48948796 -0.30086504\n",
- " 0.7290411 2.40033569 -2.30581555 1.06377607 -2.97789243 1.43082718\n",
- " -0.91377262 -2.29316671 -0.04083006 -0.54650779 -2.43032826 -0.79940815\n",
- " -1.88176584 0.05495389 2.47406188 -0.82144629 -2.44818703 -3.11585379\n",
- " -2.54844951 -2.58470426 -0.99008597 -2.88926043 1.20856368 2.67069418\n",
- " 2.4613227 1.22966774 -0.03176877 0.93517933 0.06694405 1.33700758\n",
- " 1.49080935 -1.39533027 0.47972164 1.7949311 -3.01432916 -2.43192278]\n"
+ "Minimum value: -1.85727503015946\n",
+ "Parameters: [ 1.38109648 3.0799131 0.87875453 1.95614111 2.64747338 2.33717554\n",
+ " -3.47335053 6.71224521 3.55015004 -4.56000624 2.14531307 1.53903717\n",
+ " 1.55226763 -2.61425629 -4.63381128 4.30440231 2.49559166 6.65245959\n",
+ " 4.42675124 -3.74108666 4.93775431 5.66278263 2.00123821 -3.9869573 ]\n"
]
}
],
@@ -123,25 +115,18 @@
"lbfgs = L_BFGS_B(maxfun=1000, factr=10, iprint=10)\n",
"\n",
"# setup variational form generator (generate trial circuits for VQE)\n",
- "var_form = RYRZ(qubitOp.num_qubits, 5, entangler_map = [[0, 1], [1, 2], [2, 3]])\n",
+ "var_form = TwoLocal(qubitOp.num_qubits, 'ry', 'cz', reps=5, entanglement='linear')\n",
"\n",
"# setup VQE with operator, variational form, and optimizer\n",
- "vqe_algorithm = VQE(qubitOp, var_form, lbfgs, 'matrix')\n",
+ "vqe_algorithm = VQE(qubitOp, var_form, lbfgs)\n",
"\n",
"backend = BasicAer.get_backend('statevector_simulator')\n",
- "quantum_instance = QuantumInstance(backend, pass_manager=PassManager())\n",
+ "quantum_instance = QuantumInstance(backend)\n",
"\n",
"results = vqe_algorithm.run(quantum_instance)\n",
- "print(\"Minimum value: {}\".format(results['eigvals'][0].real))\n",
- "print(\"Parameters: {}\".format(results['opt_params']))"
+ "print(\"Minimum value: {}\".format(results.eigenvalue.real))\n",
+ "print(\"Parameters: {}\".format(results.optimal_point))"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
@@ -160,7 +145,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.1"
+ "version": "3.7.4"
}
},
"nbformat": 4,
diff --git a/chemistry/QubitMappings.ipynb b/chemistry/QubitMappings.ipynb
index 70b1d78..1e8fbfa 100644
--- a/chemistry/QubitMappings.ipynb
+++ b/chemistry/QubitMappings.ipynb
@@ -15,20 +15,18 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"\n",
"from qiskit import BasicAer\n",
- "from qiskit.transpiler import PassManager\n",
"\n",
- "from qiskit.aqua import Operator, QuantumInstance, aqua_globals\n",
- "from qiskit.aqua.algorithms.adaptive import VQE\n",
- "from qiskit.aqua.algorithms.classical import ExactEigensolver\n",
+ "from qiskit.aqua import QuantumInstance, aqua_globals\n",
+ "from qiskit.aqua.algorithms import VQE, NumPyMinimumEigensolver\n",
"from qiskit.aqua.components.optimizers import L_BFGS_B\n",
- "from qiskit.aqua.components.variational_forms import RY\n",
+ "from qiskit.circuit.library import TwoLocal\n",
"\n",
"from qiskit.chemistry import FermionicOperator\n",
"from qiskit.chemistry.drivers import PyQuanteDriver, UnitsType, BasisType\n",
@@ -38,7 +36,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -53,7 +51,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -66,7 +64,7 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 4,
"metadata": {},
"outputs": [
{
@@ -75,73 +73,16 @@
"text": [
"\n",
" --- jordan wigner ---\n",
- "IIII\t(-0.8105479862760991+0j)\n",
- "IIIZ\t(0.17218394273085635+0j)\n",
- "IIZI\t(-0.22575350251540605+0j)\n",
- "IIZZ\t(0.12091263358559995+0j)\n",
- "IZII\t(0.17218394273085635+0j)\n",
- "IZIZ\t(0.16892754048859007+0j)\n",
- "IZZI\t(0.16614543338049342+0j)\n",
- "IZZZ\t(-8.326672684688674e-17+0j)\n",
- "XXXX\t(0.045232799794893426+0j)\n",
- "XXYY\t(0.045232799794893426+0j)\n",
- "YYXX\t(0.045232799794893426+0j)\n",
- "YYYY\t(0.045232799794893426+0j)\n",
- "ZIII\t(-0.2257535025154061+0j)\n",
- "ZIIZ\t(0.16614543338049342+0j)\n",
- "ZIZI\t(0.17464343142442207+0j)\n",
- "ZZII\t(0.12091263358559991+0j)\n",
- "ZZIZ\t(-2.42861286636753e-17+0j)\n",
- "ZZZI\t(-6.938893903907228e-17+0j)\n",
- "ZZZZ\t(-3.122502256758253e-17+0j)\n",
- "\n",
- "The exact ground state energy using jordan wigner mapping is: -1.8572750766378716\n",
+ "Representation: paulis, qubits: 4, size: 15\n",
+ "The exact ground state energy using jordan wigner mapping is: -1.857275076637873\n",
"\n",
" --- parity ---\n",
- "IIII\t(-0.8105479862760991+0j)\n",
- "IIIZ\t(0.17218394273085635+0j)\n",
- "IIZI\t(0.1209126335855999+0j)\n",
- "IIZZ\t(-0.2257535025154061+0j)\n",
- "IXIX\t(0.045232799794893426+0j)\n",
- "IXZX\t(-0.045232799794893426+0j)\n",
- "IZII\t(-6.938893903907228e-17+0j)\n",
- "IZIZ\t(0.16614543338049345+0j)\n",
- "IZZI\t(0.17218394273085635+0j)\n",
- "IZZZ\t(0.16892754048859007+0j)\n",
- "ZIII\t(-3.469446951953614e-17+0j)\n",
- "ZIIZ\t(-6.245004513516506e-17+0j)\n",
- "ZIZI\t(0.1209126335855999+0j)\n",
- "ZIZZ\t(-2.0816681711721685e-17+0j)\n",
- "ZXIX\t(0.045232799794893426+0j)\n",
- "ZXZX\t(-0.045232799794893426+0j)\n",
- "ZZII\t(-0.2257535025154061+0j)\n",
- "ZZIZ\t(0.16614543338049342+0j)\n",
- "ZZZZ\t(0.17464343142442207+0j)\n",
- "\n",
- "The exact ground state energy using parity mapping is: -1.8572750766378738\n",
+ "Representation: paulis, qubits: 4, size: 15\n",
+ "The exact ground state energy using parity mapping is: -1.857275076637872\n",
"\n",
" --- bravyi-kitaev ---\n",
- "IIII\t(-0.8105479862760991+0j)\n",
- "IIIZ\t(0.17218394273085635+0j)\n",
- "IIZI\t(0.1209126335855999+0j)\n",
- "IIZZ\t(-0.2257535025154061+0j)\n",
- "IXIX\t(0.045232799794893426+0j)\n",
- "IXZX\t(-0.045232799794893426+0j)\n",
- "IZII\t(0.17218394273085635+0j)\n",
- "IZIZ\t(0.16892754048859007+0j)\n",
- "IZZI\t(-6.938893903907228e-17+0j)\n",
- "IZZZ\t(0.16614543338049345+0j)\n",
- "ZIII\t(-3.469446951953614e-17+0j)\n",
- "ZIIZ\t(-6.245004513516506e-17+0j)\n",
- "ZIZI\t(0.1209126335855999+0j)\n",
- "ZIZZ\t(-2.0816681711721685e-17+0j)\n",
- "ZXIX\t(0.045232799794893426+0j)\n",
- "ZXZX\t(-0.045232799794893426+0j)\n",
- "ZZIZ\t(0.17464343142442207+0j)\n",
- "ZZZI\t(-0.2257535025154061+0j)\n",
- "ZZZZ\t(0.16614543338049342+0j)\n",
- "\n",
- "The exact ground state energy using bravyi-kitaev mapping is: -1.8572750766378796\n"
+ "Representation: paulis, qubits: 4, size: 15\n",
+ "The exact ground state energy using bravyi-kitaev mapping is: -1.8572750766378743\n"
]
}
],
@@ -152,16 +93,15 @@
" (qubitOp_bk, 'bravyi-kitaev')]\n",
"\n",
"for qubit_op, name in qubit_ops:\n",
- " qubit_op.to_matrix()\n",
" qubit_op.chop(10**-10)\n",
"\n",
" print(\"\\n --- {} ---\".format(name))\n",
- " print(qubit_op.print_operators())\n",
+ " print(qubit_op)\n",
"\n",
" # Using exact eigensolver to get the smallest eigenvalue\n",
- " exact_eigensolver = ExactEigensolver(qubit_op, k=1)\n",
+ " exact_eigensolver = NumPyMinimumEigensolver(qubit_op)\n",
" ret = exact_eigensolver.run()\n",
- " print('The exact ground state energy using {} mapping is: {}'.format(name, ret['energy'])) "
+ " print('The exact ground state energy using {} mapping is: {}'.format(name, ret.eigenvalue.real)) "
]
},
{
@@ -173,16 +113,16 @@
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Ground state energy using jordan wigner: -1.8570893208672647\n",
- "Ground state energy using parity: -1.8572686760592785\n",
- "Ground state energy using bravyi-kitaev: -1.85727507635405\n"
+ "Ground state energy using jordan wigner: -1.85727476869041\n",
+ "Ground state energy using parity: -1.857274320675\n",
+ "Ground state energy using bravyi-kitaev: -1.85726132279563\n"
]
}
],
@@ -193,25 +133,18 @@
" lbfgs = L_BFGS_B(maxfun=1000, factr=10, iprint=10)\n",
"\n",
" # setup variational form generator (generate trial circuits for VQE)\n",
- " var_form = RY(qubit_op.num_qubits, 5, entanglement='full')\n",
+ " var_form = TwoLocal(qubit_op.num_qubits, 'ry', 'cz', reps=5, entanglement='full')\n",
"\n",
" # setup VQE with operator, variational form, and optimizer\n",
- " vqe_algorithm = VQE(qubit_op, var_form, lbfgs, 'matrix')\n",
+ " vqe_algorithm = VQE(qubit_op, var_form, lbfgs)\n",
"\n",
" backend = BasicAer.get_backend('statevector_simulator')\n",
- " quantum_instance = QuantumInstance(backend, pass_manager=PassManager())\n",
+ " quantum_instance = QuantumInstance(backend)\n",
"\n",
" results = vqe_algorithm.run(quantum_instance)\n",
"\n",
- " print(\"Ground state energy using {}: {}\".format(name, results['eigvals'][0]))"
+ " print(\"Ground state energy using {}: {}\".format(name, results.eigenvalue.real))"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
@@ -230,7 +163,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.1"
+ "version": "3.7.4"
}
},
"nbformat": 4,
diff --git a/chemistry/adaptive_VQE.ipynb b/chemistry/adaptive_VQE.ipynb
index 7374df4..610d20d 100644
--- a/chemistry/adaptive_VQE.ipynb
+++ b/chemistry/adaptive_VQE.ipynb
@@ -29,7 +29,16 @@
"cell_type": "code",
"execution_count": 1,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Couldn't find cython int routine\n",
+ "Couldn't find cython int routine\n"
+ ]
+ }
+ ],
"source": [
"from qiskit import BasicAer\n",
"#import warnings\n",
@@ -79,8 +88,8 @@
"num_particles = molecule.num_alpha + molecule.num_beta\n",
"num_spin_orbitals = molecule.num_orbitals * 2\n",
"\n",
- "from qiskit.aqua.operators.weighted_pauli_operator import Z2Symmetries\n",
- "from qiskit.aqua.operators.op_converter import to_weighted_pauli_operator\n",
+ "from qiskit.aqua.operators import Z2Symmetries\n",
+ "from qiskit.aqua.operators.legacy.op_converter import to_weighted_pauli_operator\n",
"ferOp = FermionicOperator(h1=molecule.one_body_integrals, h2=molecule.two_body_integrals)\n",
"\n",
"# Build the qubit operator, which is the input to the VQE algorithm in Aqua\n",
@@ -136,7 +145,7 @@
"# setup the variational form for VQE\n",
"from qiskit.chemistry.components.variational_forms import UCCSD\n",
"var_form = UCCSD(num_qubits, 1, num_spin_orbitals, num_particles, initial_state=init_state)\n",
- "from qiskit.aqua.algorithms.adaptive import VQE\n",
+ "from qiskit.aqua.algorithms import VQE\n",
"algorithm = VQE(qubitOp, var_form, optimizer)\n",
"result = algorithm.run(backend)"
]
@@ -159,7 +168,7 @@
"source": [
"var_form_base = UCCSD(num_qubits, 1, num_spin_orbitals, num_particles, initial_state=init_state)\n",
"\n",
- "from qiskit.chemistry.algorithms.adaptive import VQEAdapt\n",
+ "from qiskit.chemistry.algorithms import VQEAdapt\n",
"algorithm = VQEAdapt(qubitOp, var_form_base, optimizer, threshold=0.00001, delta=0.1)\n",
"result_adapt = algorithm.run(backend)"
]
@@ -181,12 +190,12 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "+-----------+---------------------+----------------------------------------------+\n",
- "| Ansatz | Energy (Hartree) | Gates |\n",
- "+-----------+---------------------+----------------------------------------------+\n",
- "| UCCSD | -1.857275030202378 | OrderedDict([('Evolution^1', 3), ('u3', 1)]) |\n",
- "| ADAPT-VQE | -1.8572750302023797 | OrderedDict([('u3', 1), ('Evolution^1', 1)]) |\n",
- "+-----------+---------------------+----------------------------------------------+\n"
+ "+-----------+-------------------+----------------------------------------------+\n",
+ "| Ansatz | Energy (Hartree) | Gates |\n",
+ "+-----------+-------------------+----------------------------------------------+\n",
+ "| UCCSD | -1.85727503020237 | OrderedDict([('Evolution^1', 3), ('u3', 1)]) |\n",
+ "| ADAPT-VQE | -1.85727503020237 | OrderedDict([('u3', 1), ('Evolution^1', 1)]) |\n",
+ "+-----------+-------------------+----------------------------------------------+\n"
]
}
],
@@ -194,11 +203,11 @@
"from prettytable import PrettyTable\n",
"table = PrettyTable()\n",
"table.field_names = [\"Ansatz\",\"Energy (Hartree)\",\"Gates\"]\n",
- "cirq = var_form.construct_circuit(result['opt_params'])\n",
- "table.add_row(['UCCSD',str(result['energy']),cirq.count_ops()])\n",
+ "cirq = var_form.construct_circuit(result.optimal_point)\n",
+ "table.add_row(['UCCSD',str(result.eigenvalue.real),cirq.count_ops()])\n",
"\n",
- "cirq_adapt = var_form_base.construct_circuit(result_adapt['opt_params'])\n",
- "table.add_row(['ADAPT-VQE', str(result_adapt['energy']), cirq_adapt.count_ops()])\n",
+ "cirq_adapt = var_form_base.construct_circuit(result_adapt.optimal_point)\n",
+ "table.add_row(['ADAPT-VQE', str(result_adapt.eigenvalue.real), cirq_adapt.count_ops()])\n",
"print(table)"
]
},
@@ -226,7 +235,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.1"
+ "version": "3.7.4"
}
},
"nbformat": 4,
diff --git a/chemistry/beh2_reductions.ipynb b/chemistry/beh2_reductions.ipynb
index e2403c1..5ff5b82 100644
--- a/chemistry/beh2_reductions.ipynb
+++ b/chemistry/beh2_reductions.ipynb
@@ -8,7 +8,7 @@
"\n",
"We have notebooks showing LiH, where we often remove (discard) two unoccupied orbitals, in addition to freezing the core. While freezing of the core electrons can always be done, discarding unoccupied orbitals should be done with great care.\n",
"\n",
- "This notebook demonstrates this for Beryllium Dihydride (BeH2) where we show the effect of removing different unoccupied orbitals. We use Qiskit Chemistry to plot graphs of the ground state energy of the Beryllium Dihydride (BeH2) molecule over a range of inter-atomic distances using ExactEigensolver. Freeze core reduction is true and different virtual orbital removals are tried as a comparison.\n",
+ "This notebook demonstrates this for Beryllium Dihydride (BeH2) where we show the effect of removing different unoccupied orbitals. We use Qiskit Chemistry to plot graphs of the ground state energy of the Beryllium Dihydride (BeH2) molecule over a range of inter-atomic distances using NumPyMinimumEigensolver. Freeze core reduction is true and different virtual orbital removals are tried as a comparison.\n",
"\n",
"This notebook has been written to use the PYSCF chemistry driver."
]
@@ -24,8 +24,6 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Couldn't find cython int routine\n",
- "Couldn't find cython int routine\n",
"Processing step 22 --- complete\n",
"Distances: [0.6 0.7 0.8 0.9 1. 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9\n",
" 2. 2.25 2.5 2.75 3. 3.25 3.5 3.75 4. ]\n",
@@ -38,7 +36,7 @@
" -15.52863269 -15.5598192 -15.56723345 -15.55823699 -15.53789746\n",
" -15.50975433 -15.476334 -15.43948849 -15.40061366 -15.38534487\n",
" -15.30406975 -15.24876708 -15.23982192 -15.25303723 -15.27323362\n",
- " -15.29048023 -15.29973676 -15.30358774]\n",
+ " -15.29048022 -15.29973676 -15.30358774]\n",
" [-14.38085785 -14.8496625 -15.152928 -15.34484824 -15.46196656\n",
" -15.52847583 -15.56042602 -15.5686254 -15.5604457 -15.54096661\n",
" -15.51373779 -15.48129162 -15.44548034 -15.4076929 -15.43902234\n",
@@ -75,7 +73,7 @@
"source": [
"import numpy as np\n",
"import pylab\n",
- "from qiskit.aqua.algorithms import ExactEigensolver\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver\n",
"from qiskit.chemistry.drivers import PySCFDriver\n",
"from qiskit.chemistry.core import Hamiltonian, QubitMappingType\n",
"\n",
@@ -98,10 +96,11 @@
" two_qubit_reduction=True, freeze_core=True,\n",
" orbital_reduction=reductions[j])\n",
" qubit_op, aux_ops = operator.run(qmolecule)\n",
- " result = ExactEigensolver(qubit_op).run()\n",
- " lines, result = operator.process_algorithm_result(result)\n",
- " energies[j][i] = result['energy']\n",
+ " result = NumPyMinimumEigensolver(qubit_op).run()\n",
+ " result = operator.process_algorithm_result(result)\n",
+ " energies[j][i] = result.energy\n",
" distances[i] = d\n",
+ "\n",
"print(' --- complete')\n",
"\n",
"print('Distances: ', distances)\n",
@@ -298,11 +297,23 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 5,
"metadata": {
"scrolled": true
},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "22[-14.40564902 -14.87132975 -15.17280541 -15.36415094 -15.48174107\n",
+ " -15.54963817 -15.58381205 -15.59504708 -15.59074335 -15.57605125\n",
+ " -15.55462369 -15.52912134 -15.50154509 -15.47345142 -15.44609374\n",
+ " -15.38744402 -15.35183431 -15.33927179 -15.33680424 -15.33661362\n",
+ " -15.33672146 -15.33679474 -15.33682151]\n"
+ ]
+ }
+ ],
"source": [
"e_nofreeze = np.empty(len(pts))\n",
"for i, d in enumerate(pts):\n",
@@ -313,9 +324,9 @@
" two_qubit_reduction=True, freeze_core=False,\n",
" orbital_reduction=[])\n",
" qubit_op, aux_ops = operator.run(qmolecule)\n",
- " result = ExactEigensolver(qubit_op).run()\n",
- " lines, result = operator.process_algorithm_result(result)\n",
- " e_nofreeze[i] = result['energy']\n",
+ " result = NumPyMinimumEigensolver(qubit_op).run()\n",
+ " result = operator.process_algorithm_result(result)\n",
+ " e_nofreeze[i] = result.energy\n",
"\n",
"print(e_nofreeze)"
]
@@ -329,11 +340,36 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 6,
"metadata": {
"scrolled": false
},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
"source": [
"pylab.rcParams['figure.figsize'] = (8, 6)\n",
"pylab.plot(distances, energies[0], label='Freeze Core: True')\n",
diff --git a/chemistry/dictinput.py b/chemistry/dictinput.py
deleted file mode 100644
index 2f27012..0000000
--- a/chemistry/dictinput.py
+++ /dev/null
@@ -1,43 +0,0 @@
-# -*- coding: utf-8 -*-
-
-# Copyright 2018 IBM.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# =============================================================================
-
-from qiskit.aqua.algorithms import ExactEigensolver
-from qiskit.chemistry.drivers import PySCFDriver, UnitsType
-from qiskit.chemistry.core import Hamiltonian
-
-
-# An example of using a loop to vary inter-atomic distance.
-# Inside the loop the 'atom' value is updated
-# with a new molecular configuration. The molecule is H2 and its inter-atomic distance
-# i.e the distance between the two atoms, is altered from 0.5 to 1.0. Each atom is
-# specified by x, y, z coords and the atoms are set on the z-axis, equidistant from
-# the origin, and updated by d inside the loop where the molecule string has this value
-# substituted by format(). Note the negative sign preceding the first format
-# substitution point i.e. the {} brackets
-#
-
-molecule = 'H .0 .0 -{0}; H .0 .0 {0}'
-for i in range(21):
- d = (0.5 + i * 0.5 / 20) / 2
- driver = PySCFDriver(molecule.format(d), unit=UnitsType.ANGSTROM,
- charge=0, spin=0, basis='sto3g')
- qmolecule = driver.run()
- operator = Hamiltonian()
- qubit_op, aux_ops = operator.run(qmolecule)
- result = ExactEigensolver(qubit_op).run()
- _, result = operator.process_algorithm_result(result)
- print('{:.4f} : {}'.format(d * 2, result['energy']))
diff --git a/chemistry/energyplot.ipynb b/chemistry/energyplot.ipynb
index 01bd6a7..f682ca0 100644
--- a/chemistry/energyplot.ipynb
+++ b/chemistry/energyplot.ipynb
@@ -6,7 +6,7 @@
"collapsed": true
},
"source": [
- "## _*LiH plot using ExactEigensolver*_\n",
+ "## _*LiH plot using NumPyMinimumEigensolver*_\n",
"\n",
"This notebook demonstrates using Qiskit Chemistry to plot graphs of the ground state energy and dipole moments of a Lithium Hydride (LiH) molecule over a range of inter-atomic distances.\n",
" \n",
@@ -22,8 +22,6 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Couldn't find cython int routine\n",
- "Couldn't find cython int routine\n",
"Processing step 20 --- complete\n",
"Distances: [1.25 1.275 1.3 1.325 1.35 1.375 1.4 1.425 1.45 1.475 1.5 1.525\n",
" 1.55 1.575 1.6 1.625 1.65 1.675 1.7 1.725 1.75 ]\n",
@@ -41,7 +39,7 @@
"source": [
"import numpy as np\n",
"import pylab\n",
- "from qiskit.aqua.algorithms import ExactEigensolver\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver\n",
"from qiskit.chemistry.drivers import PySCFDriver\n",
"from qiskit.chemistry.core import Hamiltonian\n",
"\n",
@@ -68,11 +66,11 @@
" qmolecule = driver.run()\n",
" operator = Hamiltonian(freeze_core=True, orbital_reduction=[-3, -2])\n",
" qubit_op, aux_ops = operator.run(qmolecule)\n",
- " result = ExactEigensolver(qubit_op, aux_operators=aux_ops).run()\n",
- " lines, result = operator.process_algorithm_result(result)\n",
+ " result = NumPyMinimumEigensolver(qubit_op, aux_operators=aux_ops).run()\n",
+ " result = operator.process_algorithm_result(result)\n",
" distances[i] = d\n",
- " energies[i] = result['energy']\n",
- " dipoles[i] = result['total_dipole_moment']\n",
+ " energies[i] = result.energy\n",
+ " dipoles[i] = result.total_dipole_moment\n",
"print(' --- complete')\n",
"\n",
"print('Distances: ', distances)\n",
@@ -129,13 +127,6 @@
"pylab.ylabel('Moment a.u')\n",
"pylab.title('LiH Dipole Moment');"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
diff --git a/chemistry/h2_basis_sets.ipynb b/chemistry/h2_basis_sets.ipynb
index aa1d85e..17300cc 100644
--- a/chemistry/h2_basis_sets.ipynb
+++ b/chemistry/h2_basis_sets.ipynb
@@ -22,8 +22,6 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Couldn't find cython int routine\n",
- "Couldn't find cython int routine\n",
"Processing step 20 --- complete\n",
"Distances: [0.5 0.525 0.55 0.575 0.6 0.625 0.65 0.675 0.7 0.725 0.75 0.775\n",
" 0.8 0.825 0.85 0.875 0.9 0.925 0.95 0.975 1. ]\n",
@@ -46,7 +44,7 @@
"import numpy as np\n",
"import pylab\n",
"from qiskit.chemistry.drivers import PSI4Driver\n",
- "from qiskit.aqua.algorithms import ExactEigensolver\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver\n",
"from qiskit.chemistry.core import Hamiltonian\n",
"\n",
"# PSI4 config here is a multi-line string that we update using format()\n",
@@ -79,9 +77,9 @@
" qmolecule = driver.run()\n",
" operator = Hamiltonian()\n",
" qubit_op, aux_ops = operator.run(qmolecule)\n",
- " result = ExactEigensolver(qubit_op).run()\n",
- " lines, result = operator.process_algorithm_result(result)\n",
- " energies[j][i] = result['energy']\n",
+ " result = NumPyMinimumEigensolver(qubit_op).run()\n",
+ " result = operator.process_algorithm_result(result)\n",
+ " energies[j][i] = result.energy\n",
" distances[i] = d\n",
"print(' --- complete')\n",
"\n",
diff --git a/chemistry/h2_eom_excited_states.ipynb b/chemistry/h2_eom_excited_states.ipynb
index 38c271f..3bd3029 100644
--- a/chemistry/h2_eom_excited_states.ipynb
+++ b/chemistry/h2_eom_excited_states.ipynb
@@ -19,22 +19,13 @@
"cell_type": "code",
"execution_count": 1,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Couldn't find cython int routine\n",
- "Couldn't find cython int routine\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"import numpy as np\n",
"import pylab\n",
"from qiskit import BasicAer\n",
"from qiskit.aqua import aqua_globals, QuantumInstance\n",
- "from qiskit.aqua.algorithms import ExactEigensolver, VQE\n",
+ "from qiskit.aqua.algorithms import NumPyEigensolver, VQE\n",
"from qiskit.aqua.components.optimizers import COBYLA\n",
"from qiskit.aqua.components.variational_forms import SwapRZ\n",
"from qiskit.chemistry.algorithms import QEomVQE\n",
@@ -48,7 +39,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "First we compute reference values using ExactEigensolver. This notebook also utilizes the fact that when two_qubit_reduction is used with the parity mapping on H2 the resultant hamiltonian solely contains the 4 states we are looking for so that it is easy to generate reference values using ExactEigensolver."
+ "First we compute reference values using NumPyEigensolver. This notebook also utilizes the fact that when two_qubit_reduction is used with the parity mapping on H2 the resultant hamiltonian solely contains the 4 states we are looking for so that it is easy to generate reference values using NumPyEigensolver."
]
},
{
@@ -94,6 +85,10 @@
}
],
"source": [
+ "# TODO: Ignore warnings for now until the algorithm result handling is changed.\n",
+ "import warnings\n",
+ "warnings.filterwarnings('ignore', category=DeprecationWarning)\n",
+ "\n",
"molecule = 'H .0 .0 -{0}; H .0 .0 {0}'\n",
"\n",
"start = 0.5 # Start distance\n",
@@ -110,7 +105,7 @@
" qmolecule = driver.run()\n",
" operator = Hamiltonian(qubit_mapping=QubitMappingType.PARITY, two_qubit_reduction=True)\n",
" qubit_op, _ = operator.run(qmolecule)\n",
- " result = ExactEigensolver(qubit_op, k=4).run()\n",
+ " result = NumPyEigensolver(qubit_op, k=4).run()\n",
" _, result = operator.process_algorithm_result(result)\n",
" energies[:, i] = result['energies']\n",
" distances[i] = d\n",
@@ -137,30 +132,30 @@
"output_type": "stream",
"text": [
"Processing step 30 --- complete\n",
- "Energies: [[-1.05515977 -1.09262989 -1.11628599 -1.12990477 -1.13618945 -1.13711706\n",
- " -1.13414766 -1.12836187 -1.12056028 -1.11133941 -1.10115032 -1.09034217\n",
+ "Energies: [[-1.05515978 -1.09262989 -1.11628599 -1.12990476 -1.13618944 -1.13711704\n",
+ " -1.13414766 -1.12836186 -1.12056028 -1.11133941 -1.10115031 -1.09034217\n",
" -1.07919293 -1.06792965 -1.05674074 -1.04578313 -1.03518626 -1.02505436\n",
- " -1.01546824 -1.00648692 -0.99814935 -0.99047633 -0.98347272 -0.9771296\n",
- " -0.97142667 -0.96633449 -0.96181693 -0.95783293 -0.95433881 -0.95128975\n",
- " -0.94864109]\n",
- " [-0.07073514 -0.20195081 -0.31093056 -0.40205538 -0.47843676 -0.54276356\n",
- " -0.59714953 -0.64340217 -0.68284134 -0.71672299 -0.7458399 -0.77111516\n",
- " -0.79290413 -0.81191974 -0.82845482 -0.84272492 -0.85522434 -0.86605303\n",
- " -0.87546442 -0.88362384 -0.89053278 -0.89659817 -0.90192401 -0.90635547\n",
- " -0.9102725 -0.91364281 -0.91648663 -0.91904962 -0.92107712 -0.9229292\n",
- " -0.92456189]\n",
- " [ 0.26700531 0.14053823 0.03653073 -0.04941847 -0.12043561 -0.17922049\n",
- " -0.22789596 -0.26827847 -0.30169795 -0.32942236 -0.35225873 -0.37114662\n",
- " -0.38645966 -0.39893039 -0.40887188 -0.4165201 -0.42238942 -0.42659897\n",
- " -0.42942023 -0.43103528 -0.43146089 -0.43111755 -0.43012145 -0.4283281\n",
- " -0.42612678 -0.42349274 -0.42045259 -0.41725744 -0.41365612 -0.41001277\n",
- " -0.40628516]\n",
- " [ 1.30149074 1.08045116 0.89011421 0.725642 0.5833304 0.45982306\n",
- " 0.35231284 0.25831614 0.17588937 0.10322874 0.03907953 -0.01785901\n",
- " -0.06824571 -0.11303727 -0.15272583 -0.18769577 -0.21859095 -0.24564958\n",
- " -0.26925777 -0.28971105 -0.30714047 -0.32208222 -0.33476935 -0.34517494\n",
- " -0.35380522 -0.36075106 -0.3661517 -0.37036725 -0.37325088 -0.37526397\n",
- " -0.37645644]]\n"
+ " -1.01546824 -1.00648692 -0.99814935 -0.99047632 -0.98347272 -0.97712959\n",
+ " -0.97142667 -0.9663345 -0.96181692 -0.95783293 -0.95433884 -0.95128974\n",
+ " -0.94864103]\n",
+ " [-0.07076215 -0.20189839 -0.31093041 -0.40202504 -0.47846507 -0.54274392\n",
+ " -0.59714953 -0.64342513 -0.68282704 -0.71672299 -0.74583479 -0.77112473\n",
+ " -0.79290413 -0.81197103 -0.82843825 -0.84273387 -0.85522434 -0.86602316\n",
+ " -0.87543849 -0.88362384 -0.89062721 -0.89669033 -0.90192401 -0.90643466\n",
+ " -0.9102725 -0.91379093 -0.9165668 -0.91904962 -0.92120381 -0.92289447\n",
+ " -0.92452693]\n",
+ " [ 0.26697831 0.14059065 0.03653088 -0.04938813 -0.12046392 -0.17920084\n",
+ " -0.22789596 -0.26830143 -0.30168365 -0.32942236 -0.35225361 -0.37115619\n",
+ " -0.38645966 -0.39898168 -0.40885532 -0.41652906 -0.42238942 -0.42656909\n",
+ " -0.42939431 -0.43103528 -0.43155533 -0.43120975 -0.43012145 -0.42840741\n",
+ " -0.42612678 -0.42364077 -0.42053288 -0.41725744 -0.41378303 -0.4099778\n",
+ " -0.4062502 ]\n",
+ " [ 1.30146371 1.08050358 0.89011435 0.72567234 0.58330209 0.45984271\n",
+ " 0.35231284 0.25829318 0.17590367 0.10322874 0.03908465 -0.01786858\n",
+ " -0.06824571 -0.11308856 -0.15270927 -0.18770473 -0.21859095 -0.24561971\n",
+ " -0.26923185 -0.28971105 -0.30723491 -0.32217439 -0.33476935 -0.34525414\n",
+ " -0.35380522 -0.36089908 -0.36623198 -0.37036725 -0.37337762 -0.3752293\n",
+ " -0.37642147]]\n"
]
}
],
@@ -176,13 +171,11 @@
" qmolecule = driver.run()\n",
" operator = Hamiltonian(qubit_mapping=QubitMappingType.PARITY, two_qubit_reduction=True)\n",
" qubit_op, _ = operator.run(qmolecule)\n",
- " initial_state = HartreeFock(qubit_op.num_qubits,\n",
- " num_orbitals=operator.molecule_info['num_orbitals'],\n",
+ " initial_state = HartreeFock(num_orbitals=operator.molecule_info['num_orbitals'],\n",
" num_particles=operator.molecule_info['num_particles'],\n",
" qubit_mapping=operator._qubit_mapping,\n",
" two_qubit_reduction=operator._two_qubit_reduction)\n",
- " var_form = UCCSD(qubit_op.num_qubits, depth=1,\n",
- " num_orbitals=operator.molecule_info['num_orbitals'],\n",
+ " var_form = UCCSD(num_orbitals=operator.molecule_info['num_orbitals'],\n",
" num_particles=operator.molecule_info['num_particles'],\n",
" initial_state=initial_state,\n",
" qubit_mapping=operator._qubit_mapping,\n",
@@ -208,7 +201,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We now plot graphs of the results from QEomVQE and comparison against the reference values computed above using the ExactEigensolver"
+ "We now plot graphs of the results from QEomVQE and comparison against the reference values computed above using the NumPyEigensolver"
]
},
{
@@ -220,7 +213,7 @@
"outputs": [
{
"data": {
- "image/png": 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LI0aM4KOPPuKVV1457Xlr1qxh+/bt/PTTTwDs37+fUqVKMWXKFMaPH0/jxo0BX6kfMWIEAN27d+fDDz/k9ttvP2W5lJQU7rvvPt5//30iIiKYO3cujz32GK+++uo582cHjWSLiIiIFFADBgwgKiqKq6666uR9rVq1IiwsDICvvvqKzp07ExgYSLly5bjuuuv47rvvzrne9u3bA9CoUSO2bNkCwNKlS+nWrRsAbdq0oXTp0qc9r3r16mzatIn77ruPhQsXUrJkyUzX/8UXX3DNNddQt25dlixZws8//3zaMuvXr+enn36iVatW1K9fn5iYmEynxeQUjWSLiIiIeOBsI845JTIyknfeeefk7alTp7Jnz56TI8QAISEh51xPUFAQaWlpJ29nPL1d4cKFAQgMDDyvud2lS5dm7dq1fPrpp0ybNo158+adNvKclJRE//79WblyJVWqVGHUqFGZnl7POUdkZCRff/11lrefnTSSLSIiIlJAXH/99SQlJfHSSy+dvO/IkSNnXL558+bMnTuX1NRU4uPjWbp0KVdffTWXX34569atIzk5mf379/P555+fc9stWrTgzTffBOCTTz4hISHhtGX27NlDWloat912GzExMaxevRqAEiVKcOjQIeB/hT48PJzExETefvvtk89Pv1zNmjWJj48/WbJTUlIyHfHOKRrJFhERESkgzIz33nuPBx54gGeeeYaIiAhCQkIYN25cpsvfeuutfP3110RFRWFmPPPMM5QvXx6AO+64gzp16lCtWjUaNGhwzm2PHDmSzp07ExkZybXXXstll1122jLbt2+nV69eJ0fJn376aQB69uzJvffeS9GiRfn666/p06cPderUoXz58qdMdcm43Ntvv82gQYM4cOAAx48f5/777ycy8tL8gmCZHdmZlzVu3NitXLnS6xgiIiIip/nll1+oXbu21zHkAmT23pnZKudc48yW13SRbJKamMjxffu8jiEiIiIiuYBKdjZwx46xud3NxD091usoIiIiIpILqGRnAytUiJI33cTBDz7g6A8/eB1HRERERDymkp1NyvTpQ2BEOHFPj830CkYiIiIiUnCoZGeTwOIhlB08mKPff8+hTz7xOo6IiIiIeEglOxuF3norhWvXZvf450hLTvY6joiIiIh4RCU7G1lgIOWGDiVlxw72zXrd6zgiIiIipwkMDKR+/fon/8aOPf8TNyxYsODk89577z3WrVt33usoXrx4lpedNGnSWS+ac77LpTd//nwiIyMJCAggO08DrZKdzUKaXEPx6Gj2vvwyx+PjvY4jIiIicoqiRYuyZs2ak3/Dhg0773W0a9fu5PMutGSfj5ws2XXq1OHf//43LVq0uNB4mVLJzgHlhjxMWkoK8ZMnex1FRERE5JwOHDhAzZo1Wb9+PQCdO3dmxowZACxcuJCGDRsSFRVFdHQ0ALNmzWLgwIEsX76cBQsWMGTIEOrXr8/GjRvZuHEjrVu3plGjRjRv3pxff/0VgM2bN9O0aVPq1q3L8OHDM81x+PBh2rRpQ1RUFHXq1GHu3LlMnjyZHTt20LJlS1q2bAlAv379aNy4MZGRkYwcORIg0+UWLVpE06ZNadiwIR06dCAxMfG0bdauXZuaNWtm49700WXVc0ChqlUJ69KFfW+8QemuXSlSq5bXkURERCS3+WQY7Poxe9dZvi78/ezTP44ePUr9+vVP3n7kkUfo2LEjU6ZMoWfPngwePJiEhAT69OlDfHw8ffr0YenSpVSrVo19GS68d+2119KuXTvatm3L7bffDkB0dDTTpk2jRo0afPPNN/Tv358lS5YwePBg+vXrR48ePZg6dWqm2RYuXEjFihX56KOPAF/5Dw0NZcKECXzxxReEh4cDMGbMGMLCwkhNTSU6OpoffviBQYMGnbLcnj17iImJYfHixScvHT9hwgRGjBhxwbv3fKhk55Dw/v048P77xI0dx2WvvYqZeR1JRERE5OR0kYxatWrF/PnzGTBgAGvXrgVgxYoVtGjRgmrVqgEQFhZ21nUnJiayfPlyOnTocPK+ZP/JIJYtW8Y777wDQPfu3Rk6dOhpz69bty4PPfQQQ4cOpW3btjRv3jzT7cybN4/p06dz/Phxdu7cybp166hXr94py6xYsYJ169bRrFkzAI4dO0bTpk3Pmj87qWTnkMDQUMIHDiQuJobEL76gxPXXex1JREREcpNzjDhfamlpafzyyy8UK1aMhIQEKleufEHrKFWqVKYlHjjnoOMVV1zB6tWr+fjjjxk+fDjR0dGnjTxv3ryZ8ePH891331G6dGl69uxJUlLSaetyztGqVSvmzJlz3q8jO2hOdg4q3fEOClWvzu5xz+COHfM6joiIiMgZTZw4kdq1a/Pmm2/Sq1cvUlJSaNKkCUuXLmXz5s0Ap00XAShRogSHDh0CoGTJklSrVo358+cDvqJ7YlS8WbNmvPXWWwDMnj070ww7duygWLFidOvWjSFDhrB69erTtnHw4EFCQkIIDQ0lLi6OT9JdnyT9ck2aNGHZsmVs2LAB8M33/u233y5uJ50HlewcZMHBlP3HEI5t3UqCR9+iRERERNI7MSf7xN+wYcNYv349M2fO5LnnnqN58+a0aNGCmJgYIiIimD59Ou3btycqKoqOHTuetr5OnTrx7LPP0qBBAzZu3Mjs2bN55ZVXiIqKIjIykvfffx+A559/nqlTp1K3bl22b9+eabYff/yRq6++mvr16zN69OiTB0j27duX1q1b07JlS6KiomjQoAG1atWiS5cuJ6eDZFwuIiKCWbNm0blzZ+rVq0fTpk1PHoSZ3rvvvkvlypX5+uuvadOmDTfeeGN27GYsv10CvHHjxi47z3F4sZxzbOt9N0d/+ok/fbqQoNKlvY4kIiIiHvnll1+oXbu21zHkAmT23pnZKudc48yW10h2DjMzyg4bSlpiInumvuh1HBERERG5BFSyL4EiV1xBqQ4dSJgzh+RNm7yOIyIiIiI5TCX7EokYdB8BRYuye9wzXkcRERERkRymkn2JBJUpQ/i995D4n/+QuGyZ13FEREREJAepZF9CpXv0ILhyZXaPHYdLTfU6joiIiIjkEJXsSyigUCHKPvwwyb//zv633/E6joiIiIjkEJXsS6zEjTdQtHEj4idPJjUx0es4IiIiUsAEBgaecp7ssWPP/8qTCxYsOPm89957j3Xr1p33OooXL57lZSdNmsSRI0eybbn0hgwZQq1atahXrx633nor+/fvP6/nn4lK9iVmZpQbOozUvXvZ+/LLXscRERGRAqZo0aKsWbPm5N+wYcPOex3t2rU7+bwLLdnnIydLdqtWrfjpp5/44YcfuOKKK3j66acvNOYpVLI9ULRuHUJvvpl9s17nWGys13FERESkgDtw4AA1a9Zk/fr1AHTu3JkZM2YAsHDhQho2bEhUVBTR0dEAzJo1i4EDB7J8+XIWLFjAkCFDqF+/Phs3bmTjxo20bt2aRo0a0bx585NXWdy8eTNNmzalbt26J6/kmNHhw4dp06YNUVFR1KlTh7lz5zJ58mR27NhBy5YtadmyJQD9+vWjcePGREZGMnLkSIBMl1u0aBFNmzalYcOGdOjQgcRMZhHccMMNBAUFAb5LscdmUzcLypa1yHmLePABDi5axO7xz1F50kSv44iIiMglNu7bcfy67/TLfF+MWmG1GHr10LMuc+Ky6ic88sgjdOzYkSlTptCzZ08GDx5MQkICffr0IT4+nj59+rB06VKqVavGvn37TlnXtddeS7t27Wjbti233347ANHR0UybNo0aNWrwzTff0L9/f5YsWcLgwYPp168fPXr0YOrUqZlmW7hwIRUrVuSjjz4CfOU/NDSUCRMm8MUXXxAeHg7AmDFjCAsLIzU1lejoaH744QcGDRp0ynJ79uwhJiaGxYsXExISwrhx45gwYQIjRow447559dVXM710/IVQyfZIcLlylOndmz1TpnBkVTeKNWrkdSQREREpAE5MF8moVatWzJ8/nwEDBrB27VoAVqxYQYsWLahWrRoAYWFhZ113YmIiy5cvp0OHDifvS05OBmDZsmW8847vxA/du3dn6NDTvwzUrVuXhx56iKFDh9K2bVuaN2+e6XbmzZvH9OnTOX78ODt37mTdunXUq1fvlGVWrFjBunXraNasGQDHjh2jadOmZ8w+ZswYgoKC6Nq161lfY1apZHuozF292D9/PnFPj6XqvLlYgGbviIiIFBTnGnG+1NLS0vjll18oVqwYCQkJVK5c+YLWUapUqUxLPPiOTTubK664gtWrV/Pxxx8zfPhwoqOjTxt53rx5M+PHj+e7776jdOnS9OzZk6SkpNPW5ZyjVatWzJkz55y5Z82axYcffsjnn39+zoxZpVbnoYBixSj74AMk/fQTBz/4wOs4IiIiUoBNnDiR2rVr8+abb9KrVy9SUlJo0qQJS5cuZfPmzQCnTRcBKFGiBIcOHQKgZMmSVKtWjfnz5wO+ontiVLxZs2a89dZbAMyePTvTDDt27KBYsWJ069aNIUOGsHr16tO2cfDgQUJCQggNDSUuLo5PPvkk0yxNmjRh2bJlbNiwAfDN9/7tt99O2+bChQt55plnWLBgAcWKFTvPvXZmKtkeK3nTTRSpU4fdEyaSdp5Hw4qIiIicrxNzsk/8DRs2jPXr1zNz5kyee+45mjdvTosWLYiJiSEiIoLp06fTvn17oqKiMp2v3KlTJ5599lkaNGjAxo0bmT17Nq+88gpRUVFERkby/vvvA/D8888zdepU6taty/bt2zPN9uOPP3L11VdTv359Ro8effIAyb59+9K6dWtatmxJVFQUDRo0oFatWnTp0uXkdJCMy0VERDBr1iw6d+5MvXr1aNq06cmDMNMbOHAghw4dolWrVtSvX5977703O3Yz5pzLlhXlFo0bN3YrV670OsZ5ObJyJVu7dSd84EAiBg7wOo6IiIjkkF9++YXatWt7HUMuQGbvnZmtcs41zmx5jWTnAsUaN6bEjTey95VXSImL8zqOiIiIiFwklexcouzDD8Hx48RP0On8RERERPI6lexcolCVKoTd2YMD77/P0R9/8jqOiIiIiFwElexcpMy99xIYFkbc2LHkt7nyIiIiIgWJSnYuEli8OBGDBnF01SoOfbrI6zgiIiIicoFUsnOZUrffRuEaNdg9fjxp/iskiYiIiEjeopKdy1hQEGWHDSUlNpaEf/7T6zgiIiKSzwQGBp5ynuyxY8ee9zoWLFhw8nnvvfce69atO+91FC9ePMvLTpo0iSNZuJ5IVpdL7/HHH6devXrUr1+fG264gR07dpzX889E58nOpbbdcy9HvvuO6h9+QHDFil7HERERkWyQG86TXbx4cRITE7NtfT179qRt27bcfvvtOZajatWqrFy5kvDw8GxZLr2DBw9SsmRJACZPnsy6deuYNm3aacvpPNn5RLnHh+OcY+eIkToIUkRERHLUgQMHqFmzJuvXrwegc+fOzJgxA/Bddrxhw4ZERUURHR0NwKxZsxg4cCDLly9nwYIFDBkyhPr167Nx40Y2btxI69atadSoEc2bNz95lcXNmzfTtGlT6tate/JKjhkdPnyYNm3aEBUVRZ06dZg7dy6TJ09mx44dtGzZkpYtWwLQr18/GjduTGRkJCNHjgTIdLlFixbRtGlTGjZsSIcOHTIt9ScK9ontm1l27FKCsmUtku0KVa5M2QcfJG7MGA68+x6l2t/qdSQRERHJRrueeorkX06/zPfFKFy7FuUfffSsy5y4rPoJjzzyCB07dmTKlCn07NmTwYMHk5CQQJ8+fYiPj6dPnz4sXbqUatWqsW/fvlPWde2119KuXbtTRrKjo6OZNm0aNWrU4JtvvqF///4sWbKEwYMH069fP3r06MHUqVMzzbZw4UIqVqzIRx99BPjKf2hoKBMmTOCLL744OUI9ZswYwsLCSE1NJTo6mh9++IFBgwadstyePXuIiYlh8eLFhISEMG7cOCZMmMCIESNO2+5jjz3GG2+8QWhoKF988UXWd/hZaCQ7FyvdtQtFGzUibuxYUuJ2ex1HRERE8oGiRYuyZs2ak38dO3YEoFWrVtStW5cBAwYwc+ZMAFasWEGLFi2oVq0aAGFhYWddd84ms+wAACAASURBVGJiIsuXL6dDhw7Ur1+fe+65h507dwKwbNkyOnfuDED37t0zfX7dunX57LPPGDp0KP/9738JDQ3NdLl58+bRsGFDGjRowM8//5zpnPAVK1awbt06mjVrRv369Xn99dfZunVrpusbM2YM27Zto2vXrkyZMuWsrzGrNJKdi1lAABVinmTzLbeya/RoKk+dkm0/YYiIiIi3zjXifKmlpaXxyy+/UKxYMRISEqhcufIFraNUqVKsWbMm08fP1WOuuOIKVq9ezccff8zw4cOJjo4+beR58+bNjB8/nu+++47SpUvTs2dPkpKSTluXc45WrVoxZ86cLOfv2rUr//d//8fo0aOz/Jwz0Uh2Lle4WjUiBg0icckSDn70sddxREREJJ+aOHEitWvX5s0336RXr16kpKTQpEkTli5dyubNmwFOmy4CUKJECQ4dOgT45jdXq1aN+fPnA76iu3btWgCaNWvGW2+9BcDs2bMzzbBjxw6KFStGt27dGDJkCKtXrz5tGwcPHiQkJITQ0FDi4uL45JNPMs3SpEkTli1bxoYNGwDffOvffvvttG3+/vvvJ//9/vvvU6tWrazusrPSSHYeENbzTg5++ilxMTGENG1CUJkyXkcSERGRPCrjnOzWrVvTq1cvZs6cybfffkuJEiVo0aIFMTExjB49munTp9O+fXvS0tIoW7Ysn3322Snr69SpE3369GHy5Mm8/fbbzJ49m379+hETE0NKSgqdOnUiKiqK559/ni5dujBu3DhuvvnmTLP9+OOPDBkyhICAAIKDg3nppZcA6Nu3L61bt6ZixYp88cUXNGjQgFq1alGlShWaNWt28vkZl5s1axadO3cm2X/tkZiYGK644opTtjls2DDWr19PQEAAl19+eaZnFrkQOoVfHpH8++9sbn8bxaOjqTxpotdxRERE5ALkhlP4yYXRKfzyqcI1ahA+oD+HFi7koC65LiIiIpKrqWTnIWV696bwlbXZ9eSTHE9I8DqOiIiIiJyBpyXbzF41s91m9tMZHjczm2xmG8zsBzNreKkz5iYWHEzFp54idf9+4p5+2us4IiIiInIGXo9kzwJan+XxvwM1/H99gZcuQaZcrUitWoT37cvBBR9wKJtOli4iIiKXTn47Hq4guJD3zNOS7ZxbCpx+Lpj/uRl4w/msAEqZWYVLky73Cr/3HgrXqMGukaNIPXjQ6zgiIiKSRUWKFGHv3r0q2nmIc469e/dSpEiR83pebj+FXyVgW7rbsf77dnoTJ3ewQoWo8NQYtnTsRNwzz1AxJsbrSCIiIpIFlStXJjY2lvj4eK+jyHkoUqTIeV+cJ7eX7Cwxs774ppNw2WWXeZzm0ihaty5let/F3hkzKfn3v1M83TkiRUREJHcKDg4+eYlyyd+8npN9LtuBKuluV/bfdwrn3HTnXGPnXOOIiIhLFs5r4QMGUKhaNXY9PoLUxMNexxERERERv9xeshcAPfxnGWkCHHDOFeipIukFFClChTFjSNm5k/gJz3kdR0RERET8vD6F3xzga6CmmcWaWW8zu9fM7vUv8jGwCdgAzAD6exQ11yrWsAFhPbqT8OYcDn/7rddxRERERARdVj1fSDtyhE033wJmVH//PQKKFvU6koiIiEi+p8uq53MBxYpRISaGlD/+IH7S817HERERESnwVLLziZBrrqZU507se+MNjnz/vddxRERERAo0lex8pOxDDxNUoTw7HxtOWnKy13FERERECiyV7HwksHgIFUY/wbFNm9gzZarXcUREREQKLJXsfKZ4878Qelt79r76Kkd//MnrOCIiIiIFkkp2PlRu6FCCypRh52OP4Y4d8zqOiIiISIGjkp0PBZYsSfnRo0j+7Tf2vDzd6zgiIiIiBY5Kdj5VomVLSt50E3tefpmk9eu9jiMiIiJSoKhk52PlHn2EwNBQdj7yKC4lxes4IiIiIgWGSnY+FlS6NOVHjCBp3Tr2vvqa13FERERECgyV7Hyu5I03UOLGG9kzZQrJGzd6HUdERESkQFDJLgDKPz6cgJAQdj76GC411es4IiIiIvmeSnYBEBQeTrnHHuPo2rXsmfqi13FERERE8j2V7AKiZNs2hN5yC3teeonEr5Z5HUdEREQkX1PJLiDMjPIjR1D4z39mx5AhpOza5XUkERERkXxLJbsACShalErPP49LTmb7Aw/qtH4iIiIiOUQlu4ApXL0a5Z98gqPff8/uCRO9jiMiIiKSL6lkF0ChbdpQuktn9r32GocWL/Y6joiIiEi+o5JdQJUdNowideqw45FHObZtm9dxRERERPIVlewCKqBQISpNmghmxA4eTFpysteRRERERPINlewCrFDlylQcO5bkdb8Q9/TTXscRERERyTdUsgu4Ete3pMzdvdn/1lwOfPCh13FERERE8gWVbCFi8GCKNmrEzpEjSd640es4IiIiInmeSrZgwcFUmvAcAUWK+OZnHznidSQRERGRPE0lWwAILleOSuOf5djGTewcNQrnnNeRRERERPIslWw5KeTaawkfOICDCz5g//z5XscRERERybNUsuUU4f36EdKsGXExY0hat87rOCIiIiJ5kkq2nMICAqj47DMEli5N7P0PkHrokNeRRERERPIclWw5TVBYGJUmTiBl+3Z2Pvqo5meLiIiInCeVbMlUsYYNKfvQQxz6bDH7Xn/d6zgiIiIieYpKtpxRWK+eFP9bNLvHP8eR1d97HUdEREQkz1DJljMyMyo+9RTBFSqw/cEHOZ6Q4HUkERERkTxBJVvOKrBkSSpNmkjq3r3sGPIPXFqa15FEREREcj2VbDmnopGRlHvsUQ5/9RV7X37Z6zgiIiIiuZ5KtmRJqY4dKdm2LfEvTOHwihVexxERERHJ1VSyJUvMjAqjR1GoWjW2P/QwKXG7vY4kIiIikmupZEuWBYSEUPn5SaQdOcKOhx7CHT/udSQRERGRXEklW85L4T//mQqjR3Fk5Urin5/sdRwRERGRXEklW85baLt2lOrQgb0zZnDo88+9jiMiIiKS66hkywUpN/wxitSpw/aHh3D0xx+9jiMiIiKSq6hkywUJKFyYKi+9SFBYGNvu7cexbdu8jiQiIiKSa6hkywULioigyozpuOPH2danr64IKSIiIuKnki0XpXD16lR5cSopO3YQO2AgaUlJXkcSERER8ZxKtly0Yo0aUfGZcRz9/nt2/GOoLr0uIiIiBZ5KtmSLkq1bU/Yf/+DQokXsHjfO6zgiIiIingryOoDkH2E97yRl5w72vf4GwRUrEnbnnV5HEhEREfGESrZkGzOj3NChHN+5i7ix4wgqX4GSN97gdSwRERGRS07TRSRbWWAgFZ99hqL167NjyBCOrF7tdSQRERGRS04lW7JdQJEiVH5xKsEVKhDbrz/JmzZ7HUlERETkklLJlhwRVLo0VWZMh8BAtvXty/E9e7yOJCIiInLJqGRLjil02WVUmfYSx/fsYdu9/Ug7csTrSCIiIiKXhEq25Kii9epRacIEktatY/uDD+GOH/c6koiIiEiOU8mWHFfi+paUH/E4iV9+ya6YGJxzXkcSERERyVE6hZ9cEqU7dSJl+w72zphBcMVKhPft43UkERERkRyjki2XTMQD95OycyfxEyYQXKE8oTfd5HUkERERkRyhki2XjAUEUOGpMRzfvZsdjz5GUEQEIU2aeB1LREREJNtpTrZcUgGFClF5ygsUrno5sQPvI+m337yOJCIiIpLtVLLlkgssWZIqL79MQLFibOt7DylxcV5HEhEREclWKtniieCKFany8jTSDh5kW997SE1M9DqSiIiISLZRyRbPFKldm0qTJ5O8cSPbBw3GpaR4HUlEREQkW6hki6eK/6UZFZ54gsPLl7Pz8RE6h7aIiIjkCzq7iHiuVPtbSdm5gz0vTCGofDnK3n+/15FERERELopKtuQK4f37c3xXHHunvYwFBBJ+30DMzOtYIiIiIhdEJVtyBTOj/OhROJfGnhdfxKWlEjF4sIq2iIiI5Ekq2ZJrWEAAFZ54AgsIZO+0lyE1lYgHH1TRFhERkTxHJVtyFQsIoPyokRAYwN4ZM3GpaZQd8rCKtoiIiOQpKtmS61hAAOVHjMACAtn36quQepyyw4apaIuIiEieoZItuZKZUW74YxAYwL7X38ClplHusUdVtEVERCRPUMmWXMvMKPfII1hgEPteew3SUik3fDgWoNO7i4iISO6mki25mplR9h9DsMAA9s58BZeaRvmRI1S0RUREJFdTyZZcz8yIeOghCAhk7/TpkJZK+dGjVbRFREQk11LJljzBzIh44H4sKJA9L76ES02jwpNPYIGBXkcTEREROY2nQ4Fm1trM1pvZBjMblsnjPc0s3szW+P/u9iKn5A5mRsSgQYQPHMiBf/+bnY8+hktN9TqWiIiIyGk8G8k2s0BgKtAKiAW+M7MFzrl1GRad65wbeMkDSq4VMXAAFhhA/POTcWlpVHz6KSxIP8qIiIhI7uFlM7ka2OCc2wRgZm8BNwMZS7bIacL79YOAQOInToTUVCo+M05FW0RERHINL1tJJWBbutuxwDWZLHebmbUAfgMecM5ty2QZKYDC7+mLBQawe/xzuLQ0Kj37DBYc7HUsEREREW/nZGfBB0BV51w94DPg9cwWMrO+ZrbSzFbGx8df0oDirTJ3303ZoUM5tHAh2x98CHfsmNeRRERERDwt2duBKuluV/bfd5Jzbq9zLtl/cybQKLMVOeemO+caO+caR0RE5EhYyb3K9OpJuUcf4dBnnxH7wIMq2iIiIuI5L0v2d0ANM6tmZoWATsCC9AuYWYV0N9sBv1zCfJKHhPXoQbnhw0n8/HNiB99Pmoq2iIiIeMizku2cOw4MBD7FV57nOed+NrMnzKydf7FBZvazma0FBgE9vUkreUFYt66UHzmCxC++IPa++0hLTj73k0RERERygDnnvM6QrRo3buxWrlzpdQzxUMLceewaOZKQ5s2pPOUFAgoX9jqSiIiI5ENmtso51zizx3L7gY8i5610xzuoEPMkh7/6ith+/Uk7fNjrSCIiIlLAqGRLvlTq9tupMGYMh1esYEu37qTExXkdSURERAoQlWzJt0q1v5Uq014iZetWttzRkaRfdNysiIiIXBoq2ZKvFW/RgsvnvAlmbOnajUNfful1JBERESkAVLIl3ytSsyZV586lcNWqxPYfwL7Zs72OJCIiIvmcSrYUCMHlynL5v/5J8b/+lbgnY4h7+mlcaqrXsURERCSfUsmWAiOgWDEqvzCZsDt7sO/1N4i9bxBpR454HUtERETyIZVsKVAsMJByjzziuzrkl1+ytVt3UuJ2ex1LRERE8hmVbCmQwrp1pfKLU0nesoUtHTuStH6915FEREQkH1HJlgKrxF//StXZ/4K0NLZ27kLif//rdSQRERHJJ1SypUArUrs2VefNJfjyy9l2bz8S5szxOpKIiIjkAyrZUuAFly/P5f/8J8X/8hd2jX6CuLHjdOYRERERuSgq2SJAYPEQKk+dQumuXdk3axaxgwfrzCMiIiJywVSyRfwsKIjyjw+n3KOPkvj5Erb2uJPj8fFexxIREZE8SCVbJIOwHt2pPHUKyRs3srljR5J++83rSCIiIpLHqGSLZKLE9ddz+T//CSnH2dqlK4lfLfM6koiIiOQhKtkiZ1C0TqTvzCMVK7LtnntImDfP60giIiKSR6hki5xFcIUKXP7mbEKuvZZdI0YS9+yzuLQ0r2OJiIhILqeSLXIOgcWLU+WlFynVqSP7XnmVbffcy/F9+7yOJSIiIrmYSrZIFlhQEOVHjqT8qJEc+eYbNt/aniOrVnkdS0RERHIplWyRLDIzSnfqRNW35mCFC7O1x53smT5D00dERETkNCrZIuepyJVXUu3f71CiVSviJ0zwTR9JSPA6loiIiOQiKtkiFyCweHEqTZxA+ZEjOLJiBZtvuVXTR0REROQklWyRC2RmlO7cmcvTTx+ZoekjIiIiopItctGKRkZS7Z23fdNHnpvAtn79NH1ERESkgFPJFskGgSVKUGniBMqNeJwjy7/2nX1k9WqvY4mIiIhHVLJFsomZEdali2/6SHAwW7v3YO/MmZo+IiIiUgCpZItks6KRkb6zj/ztb+we/xyx/fpr+oiIiEgBo5ItkgMCS5Sg0qSJlHt8OIeXL/dPH/ne61giIiJyiahki+QQMyOsa1cun3Ni+kh39r7yiqaPiIiIFAAq2SI5rGgd//SR6Gh2Pzte00dEREQKAJXsbLI0dimbD2z2OobkUoElSlDp+UmUG+6fPtL+No58r+kjIiIi+ZVKdjZITk3mia+foPenvdlyYIvXcSSXMjPCunXl8jffxAIDfWcfefU1nHNeRxMREZFsppKdDQoHFmba36aR6lLp/Wlv/jj4h9eRJBcrWreOb/rI9dez+5ln2NanLyk7d3odS0RERLKRSnY2+XPpPzPjhhmkpKVw16d3se3gNq8jSS4WWLKkb/rIiMc5sno1m9reRMLceRrVFhERySdUsrPRFaWvYMYNM0hOTeauRXex7ZCKtpzZiYvXVF/wPkXq1mXXyJH8cdddHIuN9TqaiIiIXCSV7GxWM6wmM26YwdHjR+n9aW+2J273OpLkcoUqV+ay116l/OjRJP3wI5va3cy+f83Wqf5ERETyMJXsHFArrBbTW03ncMphen/amx2JO7yOJLmcmVG64x1U/2ABxRo2JC4mhq09enBsyxavo4mIiMgFUMnOIVeWuZLpN0zn4LGD3PXpXexM1IFtcm7BFStSZcZ0Kjz1FMnrf2PTzbew97VZuNRUr6OJiIjIeVDJzkGRZSKZ3mo6B5N9RXvX4V1eR5I8wMwo1f5Wqn/4ISHXXsvucePY2qUryRs3eh1NREREskglO4fVCa/Dy61eZn/yfnp/2pu4w3FeR5I8IrhcWSq/OJWKzz7LsS1b2HzLrex5eTru+HGvo4mIiMg5qGRfAnUj6jKt1TT2Ju2l96Le7D6y2+tIkkeYGaE3taX6Rx9SvGVL4idOZEvHTiSt/83raCIiInIWKtmXSFREFNP+No34I/H0/rQ38UfivY4keUhQeDiVJz9PpUmTSNm5k82330781Km4Y8e8jiYiIiKZUMm+hOqXrc9Lf3uJuCNx9F7Umz1H93gdSfKYkq1vpPpHH1LyhhvY88IUNne4g6M//+x1LBEREclAJfsSa1iuIS/97SV2Hd7F3Z/ezd6je72OJHlMUOnSVHpuPJWnTiF13z623NGR3RMnkaZRbRERkVxDJdsDjco1Ymr0VHYc3sHdi+5mX9I+ryNJHlQiOprqH35AaLt27H35ZTa3b8/RtWu9jiUiIiKoZHvmqvJXMeX6KcQeiuXuRXeTkJTgdSTJgwJDQ6n49FNUmf4yaYmH2dK5C3Fjx5GaeNjraCIiIgValkq2mf3bzNqYmUp5Nrq6wtW8EP0Cfxz8g7sX3c3+pP1eR5I8qniLFlT/YAGlbr+dfbNmsfHvrdn/7nu6NLuIiIhHslqaXwS6AL+b2Vgzq5mDmQqUJhWaMPn6yWw5sIU+n/XhQPIBryNJHhVYogQVnhhN1XlzCa5YkZ2PPMKWTp01hURERMQDWSrZzrnFzrmuQENgC7DYzJabWS8zC87JgAXBtRWvZfL1k9m0fxN9Fqloy8UpWq8eVefMoeK4sRzfuZMtHTuxY+hQUuJ0fnYREZFLJcvTP8ysDNATuBv4HngeX+n+LEeSFTDNKjVjUstJbNi/gb6f9eXgsYNeR5I8zAICCL35Zqp/8gll+vbl4MefsPHvf2fP9BmkJSd7HU9ERCTfy+qc7HeB/wLFgJucc+2cc3Odc/cBxXMyYEHSvHJzJrWcxG8Jv3HPons4dOyQ15EkjwssHkLZBx+g+kcfEtK0KfETJrCp7U0c+vxznHNexxMREcm3sjqSPdk5d6Vz7mnn3M70DzjnGudArgKrReUWTPzrRH5N+JW+i/rqgjWSLQpddhlVpk6hyiszscKFiB0wkG297yZ5wwavo4mIiORLlpXRLDNrn8ndB4AfnXO5aqJn48aN3cqVK72OcdH+s+0/DFk6hNDCoUxuOZnaZWp7HUnyCZeSQsKct4ifMoW0w4cp3aULEQMHEBga6nU0ERGRPMXMVp1pwDmrI9m9gZlAV//fDGAosMzMumdLSjnFdVWu442/vwHAnQvvZPHWxR4nkvzCgoMJ69GdP326kFIdbidh9mw23tiahLfewqWmeh1PREQkX8hqyQ4GajvnbnPO3QZcCTjgGnxlW3JArbBazGkzhxqla/DAlw/w8tqXNY9Wsk1Q6dJUGDWKav9+h8I1arBr1Gg2t7+Nw99+63U0ERGRPC+rJbuycy4u3e3dQBXn3D4gJftjyQnhRcN59cZXaVu9LVPWTGHof4eSdDzJ61iSjxSpVYvL3nidSpMmknroIH/0uJPY+x8gZft2r6OJiIjkWVkt2V+a2YdmdqeZ3Qm8778vBNBlCnNY4cDCPPWXpxjccDALNy+k18Je7D6Sq6bCSx5nZpRs3Zo/ffwx4fcNJPHLL9n4f22In/wCaUePeh1PREQkz8nqgY8GtAf+4r9rGfCOy4VzF/LLgY9nsuSPJQz77zBKFCrB5OsnE1km0utIkg+l7NzJ7mfHc/DjjwkqX56IgQMIvflmLFjXnhIRETnhbAc+nrNkm1kgsNg51zInwmW3/F6yAdbvW899S+4jISmBmL/EcGPVG72OJPnUkZUriXvmWZJ++IHgyy4jYkB/SrZtiwUGeh1NRETEcxd1dhHnXCqQZmY6v1cuUTOsJnPazKF2mdo8/J+HeWnNSzogUnJEscaNqTr3LSq/+CIBISHsGDqMTTe14+Ann+DS0ryOJyIikmtldbrI+0ADfJdQP3zifufcoJyLdmEKwkj2CcdSjzH669Es2LiAG6veyJPNnqRoUFGvY0k+5dLSOPTZYuJfmMyxDRspXLMmEfcNpHh0NL4ZZSIiIgXLRU0X8a/gzszud869fpHZsl1BKtkAzjle//l1JqyaQO0ytZnccjLlQsp5HUvyMZeaysGPP2HPlCkc27qVIpGRRAy6j5AWLVS2RUSkQLnoku1fSVHgMufc+uwMl90KWsk+4T/b/sM/lv6DkOAQJl8/mTrhdbyOJPmcO36cAws+YM/UqaRs307R+vWJGDyIYk2aqGyLiEiBcNFXfDSzm4A1wEL/7fpmtiD7IsrFuq7Kdfzr//5FocBC9FzYk483fex1JMnnLCiIUu1v5U+ffEz5UaNI2bWLP3rdxR897uRIAfyiKyIikl5Wz5M9Crga/zmxnXNrgOo5lEkuUI3SNXizzZtElolk6H+H8sL3L5DmdHCa5CwrVIjSnTryp08XUu6xx0jespmt3brzR++7OfrDD17HExER8URWS3aKc+5AhvvU3nKhsCJhzLxhJu1rtGf6D9N56MuHOJJyxOtYUgAEFC5MWPdu/HnRIsoOGULSunVsuaMj2+7tR9K6dV7HExERuaSyWrJ/NrMuQKCZ1TCzF4DlOZhLLkJwYDCjmo5iSOMhLNm2hDsX3smuw7u8jiUFREDRopTpfRd/+uwzIu6/nyOrV7O5/W3EDhpM8u+/ex1PRETkkshqyb4PiASSgTnAQeD+nAolF8/M6BHZgynXTyH2UCydPuzE2vi1XseSAiSweAjh997Dnxd/Rnj//hxetoxN7W5m+0MPk7xhg9fxREREclSWzy6SVxTUs4uczcb9Gxn4+UDijsRxf8P76XZlNwIsq9+vRLLH8YQE9r36Gvv+9S/c0aMUv+46wnrfRbGrrtLZSEREJE/KjvNkXwE8DFQFgk7c75y7PpsyZhuV7MztT9rP48se58vYL7mq/FU82exJKhWv5HUsKYCOJySQ8OabJMx+k9R9+yhSpw5let9FiVatsKCgc69AREQkl8iOkr0WmAasAlJP3O+cW5VdIbOLSvaZOed4b8N7jPtuHABDrxrKLX++RaOI4om0pCQOvPc++157jWNbtxJcuTJhd95Jqfa3EhAS4nU8ERGRc8qOkr3KOdcoB4K1Bp4HAoGZzrmxGR4vDLwBNAL2Ah2dc1vOtk6V7HPbnrid4V8NZ2XcSv5a+a+MvHYk4UXDvY4lBZRLSyNxyRL2vvIqR7//noDQUEp36kRYt64ERUR4HU9EROSMsqNkjwJ2A+/iO/gRAOfcvosIFQj8BrQCYoHvgM7OuXXplukP1HPO3WtmnYBbnXMdz7ZeleysSXNpzP5lNpNWTSIkOIQRTUfwt8v/5nUsKeCOrP6efa+9xqHFi7GgIEre3I4yvXpR+E9/8jqaiIjIabKjZG/O5G7nnLvgC9KYWVNglHPuRv/tR/wrfTrdMp/6l/nazIKAXUCEO0tolezzs3H/Rh796lHW7V3HTdVvYtg1wyhZqKTXsaSAO7ZlC3tnzeLAu+/hkpMp3rIlZe7qRdHGjTW9SUREco2Lvqy6c65aJn8Xe8XHSsC2dLdj/fdluoxz7jhwAPh/9u48Pq7qsPv/58w+o12WZEu2ZRvvBmwWAyaBshgSIIEASVgSSJrkF54mTdO0fZr26fK0zdNfm6ZP+2rTdEkeSMiTlSw0LIEQtpQlGDCLDd5twDteZO0jzXLvef44d0YjWd6wrNHyfb9yX/fcc89IRzdG852jc8+dcpLfV0rMrZ3Ld6/5Lp9Z9hkeevMhbrzvRp7b81y5uyWTXGz2bJr/8i+Z9+QTNHzuc/S9+irbb/8Yb910M12/+AU2ny93F0VERI7qqCHbGPPFkvKHh5z7m1PVqRNljLnDGLPaGLP6wIED5e7OuBMNRfnsWZ/lu9d8l2QkyR2P3sHfPP839OX7yt01meQi9fU0fu63mffE40z7y7/A6+pk9xd+j21XXc2h734PP62nmYqIyNh0rJHsW0rK/2PIuatO8nvvBmaWHM8I6oZtE0wXqcHdADmItfYb1trlvO+1mAAAIABJREFU1trljbpR6h07o+EMfnztj7lt8W38YOMPuOmBm1h7YG25uyVCKJmk7pZbmPvQQ0z/l68SaWhg31//NVsvu5z9//zP5PXhWkRExphjhWxzhPJwxyfqRWC+MWaOMSaGC/T3D2lzP/DxoPwh4ImjzceWk5eIJPij8/+IO99zJxkvw+0P386/vPIv5LxcubsmggmHqb7ySmb/8AfM+v73SZ63nLb/+DpbLl/Jri/8Hr3PPYf1/XJ3U0RE5Jgh2x6hPNzxCQnmWH8OeATYAPzIWrvOGPMlY8x1QbO7gCnGmK3A7wN/fDLfU47fBc0X8NPrfsq1p13LN9Z+g48+9FG2tG8pd7dEilLnnM3Mr32N0x76OfUf+Qi9zz3Hjk98km1XX03bXd8k395e7i6KiMgkdtTVRYwxHtCLG7VOAoUJkAZIWGujp7yHJ0iri4y8x3c8zpee+xLd2W4+f/bnuX3J7YRD4XJ3S2QQv7+f7kceof2eH9H38suYaJSq97yH2ptv0qPbRUTklDjpJfzGE4XsU6Otr40vPfclntj5BOc0ncNfX/TXzKyaeewXipRBZssW2u/5EZ333Yff3U3stNOovenD1F5/PeHa2nJ3T0REJgiFbBkR1loeeOMB/vb5v8WzHl8874t8cP4HNUIoY5bf10fXw7+g45576FuzBhOLUXXVe6m7+WaS55yjf7siInJSFLJlRO3t2cufP/vnPP/28yyfupwvnvdFFk9ZXO5uiRxV/6ZNdNxzD533P4Df00Ns3lzqbrqZmg9cR7imptzdExGRcUghW0acb31+svkn/Msr/0JnppPr513P75z9OzSmtISijG1+Ok3XQw/Rfs+P6H/tNUw8TvXVV1N7800kzzpLo9siInLcFLLllOnKdvGNNd/gexu/RzQU5dNnfprbl9xOIpIod9dEjql//Xra7/kRXQ88gJ9OE1+wgNqbb6LmuusIV1WVu3siIjLGKWSfatbCE38NzctgyXXHbj8B7ejawT+s/gee2PkEzRXN/N65v8dVs6/SqKCMC15PL10//zkd99xD//r1mESCqpUrqbnuWire9S5MdMwtpCQiImOAQvapluuHb18Le16BW38I868Y3e8/hryw9wX+fvXfs/HQRpY1LuOL532RpY1Ly90tkePW99rrdPz0J3Q//Au8zk7CdXVUX3MNNdddS2LpUn1wFBGRIoXs0dDXAd9+PxzcArf9FGZfNPp9GCM83+O+bffx1Ze/Slt/G+877X184ZwvMK1iWrm7JnLcbDZLzzPP0PnAA/Q88SQ2kyHa2krNtddSc+37ic2eXe4uiohImSlkj5beg3D3+6BzF3zsPpgx7DWfNHpzvdz12l18e923CZkQHz/943zyjE+SiqbK3TWRE+J1d9P9y0fpfPAB0queB2tJLF1KzbXXUn3N1USmTCl3F0VEpAwUskdT11741tXQdwh+8+cw7czy9WWM2NOzh3966Z94+K2HaUo28flzPs+1c68lZELl7prICcvt20fXzx+i84EHyGzYAOEwFe9+FzXXXkfVyssJpfQhUkRkslDIHm0dO+CbV0O+Hz7xEDQuLG9/xohX97/KV178Cq8dfI0lU5bwxfO+yLlTzy13t0TescyWLXQ+8CCdDz5Afs9eTCpF1RUrqbn2OiouXIGJRMrdRREROYUUssvh4FY3oh0Kwycehvo55e7RmOBbn4fefIh/eumf2Jfex5WzruT3z/19ZlTNKHfXRN4x6/v0vfwynfc/QNcjj+B3dhJuaKD6mqupufY6EmecrhsmRUQmIIXsctm3zs3RjlfBJ34BNdPL3aMxoy/fx93r7uZbr3+LvJ/ntiW3cceZd1AZqyx310ROip/N0vvUU3Te/wA9v/oVNpslNmcOVe99D1VXXkliyRIFbhGRCUIhu5x2vwzfvg6qproR7cqmcvdoTNnXu4+vvvJV7t92P/WJen5r2W9xw7wb9DAbmRC8ri66f/lLOh/8OekXXwTPI9rSQuUVK6m64gpS556LCYfL3U0REXmHFLLLbftz8N0bof40+PgDkKovd4/GnHVt6/jKC1/h5f0vMyUxhduW3MbNC2+mKqan7snEkG9vp+fJX9H96KP0PvssNpslXFdH5eWXUXXllVRceCGheLzc3RQRkROgkD0WbHsSvn+TW23k9p9BorrcPRpzrLWs3reau167i2f3PEtltJKbFt7E7UtupyHZUO7uiYwYv7eXnqefofuxx+j51a/we3oIpVJUXPIbVF1xBZWXXEK4UlOnRETGOoXssWLTw3DPbTDzAvjoTyCmpb6OZEPbBr75+jf55fZfEjERrp93Pb95+m8ys3pmubsmMqJsNkvv88/T/ehjdD/xBN7Bg5holNSFK6i68kqqLr9c63CLiIxRCtljyes/hZ98CuZe5h7BHtGfh49mR9cOvrXuW9y39T486/HeWe/lk2d+kkX1i8rdNZERZz2PvjVrXOB+9FFyu3ZBKETynLOpuuIKqq64ktgM3UAtIjJWKGSPNS9/B+7/HCx8H9z0bQhHy92jMe9A+gDf2fAdfrTpR/Tmerlo+kV86oxPce7Uc7VSg0xI1loymza5wP3YY2Q2bQIgvngxVVdeQdXllxNfuFD//kVEykgheyx6/uvw8BfhzA/DDV9362nLMXVlu7hn4z18d8N3OdR/iGWNy/jUGZ/ikpmX6AmSMqFld+woBu6+V18Fawk3NlD57ououOgiKt79LiJ1deXupojIpKKQPVY9/Y/w+F/BOR+Da78KGpE6bv35fn629Wfcve5udvfsZl7tPD55xie5as5VREP6y4BMbPkDB+h5+hl6n3mG3mefxevsBGNInHEGlRe70J1culRPnBQROcUUsseyJ/4anvp7uOAzcNXfKmifoLyf5xdv/YK7XruLrR1baa5o5uOnf5wb599IMpIsd/dETjnrefSvW0fP00/T+8yz9K1ZA75PqKqKigsvpOLii6i86CKizc3l7qqIyISjkD2WWQuP/Ams+jf4jT+Ey/+s3D0al6y1PL37ae587U5e2f8KdfE6Prr4o9yy6BZq4jXl7p7IqPE6O+l9bhU9zzxN79PPkN+3D4DYvLluasnFF5Nafi6hhB74JCJyshSyxzpr4YHPw8v/F1b+BVz8++Xu0bj28r6Xuev1u3hq11MkI0neO/u9fHD+B1nWuEw3icmkYq0lu3VrcWpJevVqbDaLicdJnX8+lRe9m4qLLyY2Z47+2xAReQcUsscD34P//G/w2o/h6q/ABf+t3D0a9zYd2sQPNv6Ah998mHQ+zZyaOXxw/gd5/2nvZ0pS6w7L5OP39ZF+8cVi6M6++SYAkZZmKt/9blLnn0/qvPOITptW5p6KiIwPCtnjhZeDH/8mbHwQrvsanHN7uXs0IaRzaR556xF+uuWnrDmwhoiJcFnrZdww7wbe1fIuwlrZRSap7K7d9D7zDD3PPE161fP4PT0ARFtbSZ23nNR551Fx3nlEp2ttbhGR4Shkjyf5DPzgVtj2BHzwTjjzQ+Xu0YSyrWMb9265lwe2PUB7pp2pqancMP8Grp93PdMrFSRk8rKeR//GjaRffJH0i6tJr16N39kJQLSlpTjKnTr/PKIzZmh6iYgICtnjTzYN3/sQ7HjOTR05/9Pl7tGEk/NyPLnzSe7dei+/3v1rAFY0r+DG+TdyeevlxMKxMvdQpLys75PZvJn0Cy+64L16NV57OwCRadOKgbvivPOIzpql0C0ik5JC9niU7YWf/n+w6SG48HNw5f+CkB62cirs7dnLz7b+jP/c+p/s7d1LbbyW95/2fm6YfwML6haUu3siY4L1fbLbttH7wgtupPvFF/Ha2gCINDYWQ3fq/PN1I6WITBoK2eOV78Ev/ge88HVY8gH3ZMio1n4+VTzf4/m9z3Pv1nt5fMfj5P08ZzacyY3zb+TqOVdTEa0odxdFxgxrLdk33xwY6X7hBfIHDgAQbmggtXw5ybOWkVy6jMTpSwjF42XusYjIyFPIHs+sdWtoP/KnMOM8uPUHUNFQ7l5NeO397Tz4xoPcu+VetnZsLS4FeOP8Gzmr8SyN0okMYa0lt307vS8OTC/J79nrTkajJBYuJLl0aRC8l2qKiYhMCArZE8H6++DeO6C6BT76E5gyt9w9mhSstbx28DXu3XJvcSnA5opmVrau5MpZV7KscZlWJxE5gtz+/fSvXUvfmrX0rV1L32uvYdNpAMI1NSSWLSW5dBnJZUtJnnkm4draMvdYROTEKGRPFDtfgB/c4ka3b/0htF5Q7h5NKulcmke3P8qj2x/l13t+Tc7PMSUxhZWtK1k5ayXnTTuPaCha7m6KjFnW88hs3Ubf2jX0rVlD/5q1ZLZudb/TgNjs2SSXLSuG78TCBZio/psSkbFLIXsiadsG3/swdO6CG78Op99Q7h5NSj3ZHp7e/TSPbn+UZ3Y/Q1++j5p4DZfOuJQrZl3BhS0XEg9rDqrIsXg9PfS//vrAaPeaNXgHDwJg4nESp59enGaSOP10LR8oImOKQvZE09sGP/wI7FwFV34J3vV50JtO2fTn+3l2z7M8tv0x/mvnf9Gd6yYVSXHJjEtYOWslF0+/mFQ0Ve5uiowL1lrye/a4wP3qGvrWrqV//XpsJgNAqLKSxKJFxBcvJrF4MYnFi4jPnYuJadlNERl9CtkTUa7fPYZ9/c9g+afcetrhSLl7NenlvBzPv/08j21/jCd3Psmh/kPEw3He1fIurpx1JZfMvITqWHW5uykyrthslv5Nm+nfsJ7Mxo30r99A/6ZN2L4+1yAaJT5vHolFi1zoXrSIxOLFhKuqyttxEZnwFLInKt+Hx/4Cfv1VmP9e+NA3IV5Z7l5JwPM9Xt7/Mo9tf4zHdjzG/vR+IibCBc0XcMWsK7hs5mVMSU4pdzdFxiXreWR37CCzYQP9GzbSv3Ej/Rs2FKeaAERnzHChe/FiEovcqHdk2jRNNxGREaOQPdG9eCc89Icw7Uz4yI+galq5eyRD+Nbn9YOv89j2x3h0+6Ps6tlFyIQ4p+kcLp15KSuaV7CgboHe/EVOUv7AARe412+gf+MGMhs2kt2+vXhzZbi2lvjiRSQWLSa+cAHxefOJnzaHUEpTukTkxClkTwabH4EffwJS9fDRH0PT4nL3SI7AWsvm9s08uv1RHt/xOFs7tgJQn6hnRfMKVjSv4MKWC5lWoQ9LIiPB7+11002C0N2/YQOZzZux2WyxTbSlhdi8ucTnziM+by7xuXOJzZ2rKSciclQK2ZPFnlfg+ze7+dq3fBfm/Ea5eyTH4e3et1m1d5Xb9qyird89qnp29WwXultWcP6086mK6c1eZKTYfN5NN9m6ley2bWS2vUFm2zayb7xRvMkSINLURHzeXGJz5xGfOzcozyVSV1fG3ovIWKGQPZl07HBL/LVtgw98DZbdUu4eyQmw1rKlYwur9qziub3P8dK+l+jL9xEyIc5oOIMLmy9kRfMKljUuIxrW+sEiI816Hrndu8ls3UZm21ayW7eRecMF8MKDdADC9fVutLsw+j33NGKnzSXS1KhpXyKTiEL2ZNPXAffcBm89DZf9KfzGH2qJv3Eq5+VYc2ANz+19jlV7V/H6wdfxrU8ykmT51OXFke75tfP1xi5yClnfJ//222S2bRscwLdtw+/uLrYzqRSxmTOJtc4k2tpKrHUWsdaZxFpb3U2XYT0hVmQiUciejPJZuP93YO0P4azb4Np/Ao18jntd2S5efPtFVu1x00ve6noLgCmJKaxoWcGFzRdyQfMFms8tMkqsteQPHChOOcnt3EF2+w6yO3aQ27kTm8sV25polOiMGcRaW4nOaiU2s5XYrFZ33NKitb5FxiGF7MnKWvjV38J//R2cdinc9H8hUVPuXskI2tuzd2A+995VHOo/BEBTqolljcuK2+Ipi/UESpFRZj2P/L59ZHcEoXtHEMB37iS7Y8eg6SeEQu7my9ZWoq0ziyPg0RkziDY3E6qu1l+rRMYghezJ7pXvwgO/Cw0L4ObvwpS55e6RnAK+9dnSvoXV+1az5sAa1h5Yy+6e3QBEQhGW1C9haePSYvCeVqH1gkXKxVqLd/CgC9zbd5DdsZ3cjp3FQO53dg5qH6qoINrSTKSlhWhLC9HmYN/STLSlhUhjo6aiiJSBQrbAtifhxx8H34P3/SMsu7ncPZJRcLDvIGsOrCmG7nUH19Hv9QPQlGwaCN1Ny1hcv5hEJFHmHosIgNfRQXbnTnK795Dbs4fc3r3Bfg/53XvwhoRwIhGiU6cWg3ekpYVoczPRlukuiDc3E0omy/PDiExgCtnidOyEez8NO56DZbfCNX8PcS0LN5nk/Byb2zez9sBaF773r2FXzy7AjXYvqlvEsqZlLG1YyrKmZbRUtGi0W2QM8nt7XfDeu9cF8ZIQntuzh/y+/eB5g14Trq8nMm0q0cYmIk2lWyORpiaiTU2E6+s1Ii5yAhSyZYCXh6f+Hp76CtTNdo9ibzm73L2SMjrYd5DXDrxWHPFe17aOvnwfAA3JBpY2LGXRlEUsqFvAwrqFTK+cruAtMsbZfJ78/v0Do+C7C+F7H7kD+8nvP4DX1lZ8EmZROEykoWFQAI+WBvJGF8jDtbWYUKg8P5zIGKKQLYd761k3qt2zH674S1jxWdAvTAHyfp4t7VuKU0xeO/ga27u2Y3G/KyqjlSyoW8D8uvksrF/IwrqFzKudRyqqx1KLjCc2lyPf1kZ+/363HThArlDef6BY77W3H/7iaJRIY4ML3XX1hKfUE6mvJ1xXT2RKPeFCub6OcH09oYSmosnEpJAtw0sfcsv8bXwQ5l0B1/87VDaVu1cyBqVzabZ2bGVT+yY2HdrElvYtbG7fTE+uBwCDobW6lQV1C4oj3gvrF9Jc0axRb5Fxzs9m8YoBfCB8F4J5vr0d79Ah8ocOQcmShaVCqZQL3vVBGK8PAvjQgF5f50bJUyn97pBxQSFbjsxaWH0X/OJP3PJ+N34d5l5e7l7JOGCtZXfPbja3b2ZT+yY2H3L7nd07i22qolXFEe9C+J5XN49kRDdgiUw01lr8nh4XuNsO4bW74O0dasc71Eb+0EAY94LNHiGUE4kQrqlxW3W129fWEKquGaivcfWh6mrCNbWEa11bE4mM7g8uk5pCthzbvnXwk0/CgY3w7t+Fy/9cD6+RdySdS7O5fXNx23RoE5vbN5POuzWBQyZES0ULs2pmMad6DrOrZzOrZhazq2czNTVVo1cik4S1Fr+3F6+tzQXvYETc6+zE6+jE6+py5c4O/M5CuRO/p+eoXzdUUeHCdyGMV1URqqwMtgrClVUl5UJ9FeHKCleuqFBQl+OmkC3HJ5uGR/4EXvoWTD8XPngX1M8pd69kAvCt70a9g9HuNzvf5K2ut9jetb14kyVAMpJkVrUL3LOqZzG7ZjZzqucwq3oWlbHKMv4EIjJW2Hwer7sbr6MDv7MkjHd04nUFQbyzE6+zy7Xp7cHr6cXv7sbv7T38Zs9hmGSyJICXBvIqQqkUoVQSk0y6ctIdh5JB3dDjVMqVtWrLhKSQLSdm3c/ggc+D77vHsZ/5oXL3SCYoay370vtc4O7czltdb7mt8y329O7Bt36xbUOyoRi+59TMKYbx6VXTiYb0VxcROTbr+/jpPvzeHvyeHvzubhfAe3qKdV5PD353TxDOe/AL53uCtr29+H19R5x/fiQmFnNhOwjdhc2kkoTiCUwigYnHXDkeJ5SIY+JBXSKBiScIxWNBuzih+FHOx2Ja/WWUKGTLievYAT/9NOxcBWd9FK7+CsQ1kiijJ+tl2dm9k7c63+LNrjfZ3rWdtzpdCO/IdBTbRUyElsoWmiubmV45neaKZloqW2ipaKGlsoWmVBORkP70KyIjy+Zy+H19bkunscVyH35feqAuHdT3DXMclG02g9+fwWYy+JkMtr8fm8mcXAfDYUw06rZIZKA83BaLQulxZMj5SAQTCUMkggkH5XAEEw4PlCMl9ZGwG7kvlCORw+tDBsJhMKGSsnHnTQgTDrlVz0rKJhTUlZSL+1isLH8tUMiWd8bLw3/9nVtXe8pct6Z287Jy90qEjv6O4nSTt7reYmf3Tvb27GV3z27a+tsGtQ2bMFNTU2mubC4G75bKFporXCifVjGNWDhWpp9ERGR41lpsNuuCdxC6XTmDzfQPlLPB+WI5g81lsbncYRvFcn7Y88NuedeWfB7reYc95GisaPm7L1PzgQ+M+vdVyJaT8+bTcO8dkD4IV/wVrPgM6OY0GaP68/283fs2e3r2sKd3T3G/t2cve3r3sD+9f9A0FIDGZKMbCa+YXgzjjalGGpONNKYamZKcoikpIiK48I/nucCdz7sQ7nnYfH5wfVBXrM974AX1uTxYH+v74FvwvaDsNuv5A+cL5eLec68p1Pk+1veovOQSEgsWjPr1UMiWk5c+BPf9Nmx6COa/F67/N6hoKHevRE5Yzs+xr3cfe3v3ugBeEsJ39+zm7fTb5P38oNcYDHWJOppSTTQkGwb2ySYaUm6vMC4iMvkoZMvIsBZevBMe+VNI1sGN34DTLil3r0RGlOd7tPW3cSB9gAN9B9if3s/BvoOH7dv62w4bES+E8cIIeOm+PlFPXaKOungdtYlaauO1misuIjLOKWTLyHr7dbem9sHNcMFvwWV/AonqcvdKZFR5vseh/kPs79vPwfTBI+4P9h88LIwXVMeqqUvUURuvpS5e58qJgXIhkNfH66lN1FIZrdQ64iIyKVlryds8WS9LxsuQ9bIDZT9LS0ULdYm6Ue+XQraMvGwvPPoXbmS7cipc9Tdw+o2aqy0yhOd7tGfaOdR/iI7+Dg5l3L490057f/ugcmGf84dfGiwSihSDd02shqpYVXGrjFZSFauiOlZNZaxy4Fw0OB+r1FQWETlhpeG2EGpzXq4Ybgv1Wf8o5wqv83PDBuSh7Qp1Q9tajpxZ/+aiv+HaudeO4pVxFLLl1Nn9Ejz4+7D3VTjtUrjmH6BhXrl7JTJuWWtJ59MugGc6XDjPdLgQXlLXle2iO9tNT7bH7XM9R30DAvewn6po1RFDeCqSIhVNDbtPRpODjjXVReTU8K1fDK05L0fOz5Hzcu7Yz5H1Bu+PdG5o8C0NsKVBeNhy8NrC1znW75bjETIh4uE40VCUWDhGPBwnFo4RC5WUgy0ejhMLxQa3O0b9ovpFTKuYNgL/D5wYhWw5tXwPVn8THv9fkO9zj2W/+A8gmix3z0QmDd/69OZ66c52D9p6cj10ZbuKYbw7V3Iu2zPo+Egj6MOJhWKDg3ihHBwnI0ni4TiJSIJYOEYinCAejrstEh8oB1tpu9L2kVBEU2TkpBRGYvN+npyfI+8PLue8HHk7sB9al7OHt8v5JZs3uFwIvEPrh76mtF3Wz5L33WixZ0d2ibxCKC1uoeMol4TfaDg6qDwoEA8NyKHDX184nqgfzBWyZXT07Idf/hmsvQdqZ8E1/xsWvKfcvRKR45Tzc/Tl+0jn0qTzafpyfaTz6eLxkfalrynse3O9ZL0s/V7/Yau1nIjC6FdhBCsajhINRYmEIkRDg8uR8EDd0DbR8JDj4HzYhAmZEGETJhwKF49DJkQkFBk4F5wvPR7aJmRCGGMwuA8Fg8qYgWMTHJfWBW2K50rqLZbCe7XF4v5nhz1XHHEsbWNt8Vyh7Fsfa93ep6Rs/eL5QhvPeofV+fjFY896eL6Hb33yNo/ne8U6z554Oe/nB/a+R87m8PzB9Xk/X/xehfqcH7QrqS+E5lMpbMLFf2Ol/75i4digf3/DtSnUFcJpaZvCv/eh+9KvPehcyWsL4TYaiupD6immkC2j682n4ed/AAc3waL3w1VfhtqZ5e6ViJSJ53tkvMygrT/fXwzhxfp85qjtSkceCyOChRHJwojgcCONxTZB/Uj86VvemeIHGBMpfmgpLYdNmEgoUvwAFA1FB9eFgrIZaFM4V3pcfG0oXPxAVfwwdoTyoA9spedNZNCHtEgoUgy3hb7L5KWQLaMvn4VV/wq/+jt3M+QlfwQX/jaEdeOViJSX53vF8F0YRfWtP2hUtfS4dLR20LH18H03eluoK4wgDzvCbBk0mlzaptjOHl4PHHGE/LBzwSh4oVxoVjpyHjIhQoSKI++F42LZhDCUlI1x7UNDXheUhwvLhXLpXwjCJqxRVZlwFLKlfDp2wMN/DJt+Do2L4H3/CLPfXe5eiYiIiJy0o4Xs0Gh3RiaZ2la49ftw6w8hl4a7r4H//C3oOVDunomIiIicMgrZMjoWXg2ffR4u/u/w2k/ga+e6Nbb9kb2LWkRERGQsUMiW0RNLwco/h8/8GpqXuZsj77wC9rxS7p6JiIiIjCiFbBl9jQvgY/fDB++Crt3wjcvg5/8d+jrK3TMRERGREaGQLeVhDJz5Ifjci3D+HbD6LvjaefDK9zSFRERERMa9soRsY0y9MeZRY8yWYF93hHaeMebVYLt/tPspoyBRA9d8BT79pLtJ8r7Pwr+tgNd/Cr5f7t6JiIiIvCPlGsn+Y+Bxa+184PHgeDh91tqzgu260euejLqWs+BTj8JN3wEThp98Er5+MWz8OUywZSZFRERk4itXyP4A8O2g/G3g+jL1Q8aSUAiWXAefeRZuvBNyffDDj8D/uQy2PKawLSIiIuNGuUL2VGvt3qD8NjD1CO0SxpjVxphVxhgF8ckiFIalH4bffgE+8K+QboPvfRC++V5486ly905ERETkmCKn6gsbYx4Dpg1z6k9LD6y11hhzpCHKWdba3caY04AnjDGvWWu3DfO97gDuAGhtbT3JnsuYEY7A2bfBmTfBK9+Bp/43fPtamPMbcNmfQesF5e6hiIiIyLDK8lh1Y8wm4FJr7V5jTDPwK2vtwmO85m7gQWvtT47WTo9Vn8By/fDSt+Dpf4DeAzDvSrj8T6Hl7HL3TERERCahsfhY9fuBjwfljwP3DW1gjKmtTav6AAAgAElEQVQzxsSDcgPwbmD9qPVQxp5oAlZ8Bn53DVzxV7B7NXzjUvjhR2HfunL3TkRERKSoXCH7y8CVxpgtwBXBMcaY5caYO4M2i4HVxpg1wJPAl621CtkCsQq46Avwu2vh0j9x87T//d3w40/Agc3l7p2IiIhIeaaLnEqaLjIJpQ/Bc1+DVf8B+T5YejNc8kdQP6fcPRMREZEJbCxOFxEZOal6WPk/4QtrYcVnYd1/wteWw/2fh46d5e6diIiITEIK2TJxVDTAe/9/+PyrsPyT8Or34atnw08/DbtfKnfvREREZBJRyJaJp7oZrvl7+PwrcN6nYNPD8H8uh7veA6/fC16+3D0UERGRCU4hWyau2plw9d/B76+Hq74MPfvhJ5+Af14KT/+jm8stIiIicgroxkeZPHwPNj8Cz/+7W5EkkoRlN8MFvwVNi8vdOxERERlnjnbj4yl74qPImBMKw6Jr3LZvHTz/H7Dmh/DS3XDaZW4N7nlXQkh/4BEREZGTo5Fsmdx629xTJF+8E7r3Qv1cuOC/wVkfgXhVuXsnIiIiY9jRRrIVskUAvBysvw9W/bt7kmS8Gs6+Dc6/Q+tti4iIyLAUskVOxK7VLmyv/5mbx73wGljxWzD7YjCm3L0TERGRMUIhW+Sd6NoDL94Fq78JfYdg6hluKskZH3SPdhcREZFJTSFb5GTk+uC1H7vHtu9fB7FKWHI9LLsFZr1bN0qKiIhMUlpdRORkRJNwzsfg7Nth+69hzfdh3X3w6nehthWW3uIC95S55e6piIiIjBEayRZ5J7Jp2Pige3T7G78CLMy8wIXt02+EZG25eygiIiKnmKaLiJxKXXtg7T3w6g/g4CYIx2Hh1W4ZwLkrIaw/GImIiExECtkio8Fa2POKe8DNaz92N0tWNMGZH4azboVpZ5a7hyIiIjKCFLJFRls+C1t+CWt+4B7l7udg6pluOsnSm6Cyqdw9FBERkZOkkC1STr1tsO5eN397z8tgwjBvJSy71a3BHU2Uu4ciIiLyDihki4wVBza50e0190D3HojXwOJrYfH74bRL3UomIiIiMi4oZIuMNb4Hbz7l5m9veggyXRCtcCPci6+F+e/RCiUiIiJjnNbJFhlrQmGYe5nb8ll46ynY8KAL3Bvuh1DEPcZ98fth4fugurncPRYREZEToJFskbHE92H3arcG94YH4dA2Vz99uQvci94PDfPL20cREREBNF1EZHyyFg5sHAjce1919Q0Lg8D9Pmg5B4wpbz9FREQmKYVskYmgY2cwneQB93h360H1dBe2F70PZr0bwtFy91JERGTSUMgWmWjSh2DzL9wI97bHId8PiVr3pMmFV8OcS3TjpIiIyCmmGx9FJppUvXts+1kfgWwvbHsiuHHyYbdEoAnB9HPhtMtg7uUwY7lGuUVEREaRRrJFJhIvBztfgDeehG1PuoffWB9iVTDn4iB0XwZT5mkut4iIyEnSdBGRyaqv3a3Hve1JF7zb33L1NTPdw2/mXgZzLoWKKeXro4iIyDil6SIik1WyDpZ8wG0Ah94YCNwb7odXvgMYaF4WrNt9Ocy8ACLxsnZbRERkvNNItshk5eVhzysDU0t2vQB+HqIpmPUuF7hPuwyaFmtqiYiIyDA0XUREji3TDW894wL3tiegbYurr5zqQvfMFdC6AqaeAWH9EUxERETTRUTk2OJVA0sAAnTucoH7zf+CHatg3X+6+lilW62k9UI3tWTGeRCvLF+/RURExiCNZIvI8enc5cL2jlWwcxW8/TpgwYRh2hkDobv1QqhuLndvRURETjlNFxGRkdffBbteDIL3c7D7Jcil3bnaWW5qSesKN82kcRGEQuXtr4iIyAjTdBERGXmJapi30m3g1uh+ey3seN6F7jd+BWvvCdrWBKPcQehuORtiqbJ1XURE5FRTyBaRkRGOuqdMTj8XLvwsWAvtbw6E7h2rYMsvXVsTcqPbLWe7rfksN+UkmizvzyAiIjJCFLJF5NQwBupPc9tZt7q69CHY+bxbOnDPKy50v/q9oH0YmpZAy1nBdrZbyURrdouIyDikkC0ioydVP3gFE2uhazfseXUgeG96KHhIDhCKunW6CyPeLWdB0+kQiZXvZxARETkOCtkiUj7GQM0Mty1+v6uzFjp3BqE7CN/r74OXv+3Oh2Mw9XQ3xaQQvpsWu+kqIiIiY4RCtoiMLcZAbavbCo+DtxY6tg+Mdu95FV6/F176ljsfikLDApi6xAXuptPdvrZVT6sUEZGyUMgWkbHPGKib7bbTb3B11sKhN1zo3vc67Fvvbq587ccDr4tVQdMiN9e7aUkQwk+Hiinl+ClERGQSUcgWkfHJGJgy121nfmigvr8T9m+E/euDbQNseGBguglARVMQuEu3RRCrGP2fQ0REJiSFbBGZWBI10HqB2wqshZ79sH+dG/Hev8GVV38L8n1BIwN1swammjTMhynzoWGe+5oiIiInQCFbRCY+Y6BqqtvmXj5Q73vQ/lYQuoOR733rYfMvwHoD7SqagtA9byB8T5nnpq+E9WtUREQOp3cHEZm8QuGBKSeF1U0A8lkXvtu2wMEtwX4rbHwQ0m0lr49A3ZzDA3jDfEhN0U2XIiKTmEK2iMhQkRg0LnDbUOlD0LY1CN9bBwL41sfAyw60S9SWjHrPdQ/lKdy8maxTABcRmeAUskVETkSqHlLnw8zzB9f7HnTsKAngwSj4G0/Cmu8PbhuvgbrWgdBd3OZAzUw9bEdEZAJQyBYRGQmhMNTPcdv8Kwefy/S4db7b3xq8HdgMm38JXqaksYHq6cME8FluX9GoUXARkXFAIVtE5FSLV7qnVE49/fBzvg89+w4P4B3bYdvj0L13cPtoyoXtmplQM90F8tJydQtE4qf8RxIRkaNTyBYRKadQCKqb3TbrwsPP5/rcNJRiAN8O7W+6R8/vegH62g9/TUWTC901M6B6RkkYn+H2VdPcyLuIiJwyCtkiImNZNAmNC902nGwvdO2Bzl3QtRs6d0PXLnd8YDNsexKyPYNfY8JuxLt6+uAAXjkVqppdCK+cCtHEqf/5REQmKIVsEZHxLFbhVjFpmD/8eWvdUzALAbxzZ0kY3w27X3ZPxCxdGaUgWQeV01zoLm7NJWF8qjuvMC4ichiFbBGRicwYSNa6bbg54eDmhafboOdt6N7n5oH3vA3dJdvBLW7uuJ87/PXDhfHKaVDZ6G7UrGh0U1iSdW56jIjIJKCQLSIy2YVCLhBXNsK0M4/czveh71BJ+B4mjLdtdfvhwrgJQaohCN0NAwF8UBgvORerOHU/s4jIKaaQLSIixycUCgJwA0w748jtfN/dkNl7AHr3B/uDwT4o9+yH3S+5crZ7+K8TTQ0O36kpkKqDZH1Qrh9SroNw9NT87CIiJ0ghW0RERlYoBBVT3MaiY7fP9Q0J4QcOD+adu2DvGjeSnu8/8teKV5eE72FC+KBwXg+JGohVau1xERlxCtkiIlJe0STUznTb8cim3RzyvkPuMffpNjdynj4U1LUN1B/c4spHGi0HCEVc2E7UQCKYv35c5eBYyyGKyDAUskVEZHyJpdx2vKEcIJ91Qbw0hPe1Q3+HW32lr2NwuWPHQHm4+eWl4tUD4TteNbAlqkuOhyuX1EWTGk0XmWAUskVEZOKLxNySg1VTT+x11kIuXRLEO10YP1I50+1uBm3b4sqZ7qNPbykw4ZJgXhK+Y5XuBtBYpXtyaKFcqI9XDm5TaBeOKbSLlJlCtoiIyJEYEwTYCvcAn3cin3UPBOrvHAjexa1ryL6kvmc/ZN90r832ur31j+97hiJBv6sG+h+vhGiF+ytANOXqosFfBaIVbjR9aN3QttEUhBUdRI6H/ksRERE5lSIxiAQ3Wp4Ma91NotleN8c82+u2TE8QxIMwnik5V6gvtEm3Q67XzWvPpV0b651YP8KxIcE7AZHk8e2jKYgkXKCPJI7cNhJ35yNxzXmXcUshW0REZDwwZmA+Oo0j93Xz2cODdy49cHxYXe/gc7l+yPe5fX+n+yBQWpfvAz//zvsXig4E7ne0j0E47o7DsSH7uFv2sVAuth3mNaGIpuDICVHIFhERmcwiMbcl607d9/Dyg0P3Efd9kM8EW/9R9iXlbA+kDx657YgxJeE86sqFfShaUleoH9KmUA4NrY+W1EddmC9+3ciQ10SGtIsN85po0K5kMyF9QCgDhWwRERE5tcIRCAc3c44ma8HLgZdxI/ZeEOC97JB9xrUbWld8Telrc27FGS8bfO1sSTk38PpM93G0zYzetSiG7qibglMawkuPw8c4Xwjth50/VpuIW0O/eD488DpT8noTHmg3qD40pM2Q19bMOLUfFN8BhWwRERGZmIwZGKmPl7szw7AWfK8kiOeDcnDs50uCej6oy5W0CwL7oHbBcXHzBspebvDxoPO5w9sXjvNZsH1DXuMd/jWsN8zX8E583v87cf1/wFm3nvrvcwIUskVERETKwZhglD/ibgadqIofJkrCu/UHAnhpGC8E+EH1/pA2efD9wW1azir3T3kYhWwREREROXVKP0xMIpPrpxURERGRMctaS9635DyfnGfJB3t37JP3Ldm82+c9n6znk/csC6dVMbU6Ue7uD6KQLSIiIjJJWGvJ5F04zeZLNs8nk/PJep47X1KfzbuAm/UsuaAuV1JXOJ/zBl5TCMmDjwtfqyQ0e7YYlPO+O/dO/ONNy7jxnBkjfLVOjkK2iIiIyCgphNz+nEd/zu0zeZ9M3h1n8h6ZnF+sy+R9MkGb4vn84e0GncsNCdFDyiMpFgkRC4eIRUJEw4ZouPR4oK4yHiEWdnWRsBlULm0XCYeIhgzRSIhIyBCLhIiESs8PaR+cm9NQMaI/10hQyBYREZFJL+/59OU8t2XdPp316C8p9+U8+oPz/Tmf/rwXhOWBwNyfK7QbCNB9Wa+k7cmF3EjIEI+ESETDxCMh4oV9JEQ8EqYiFqE+5UJuPOL2LgiHi+V46blwaRv39Qp1hTbRcEnbcIhopBBwDUbrbx+RQraIiIiMCznPJ531SGfz9GZc2O3N5kln864+Uzge3GbY8Bwcp7N5+nPvbITXhVIXeBPREMlo2JUjYaoSERqr4kFdoU2YRCREIubaJErOFUJyPDoQmBPRoC7ivk8sGOmV8UEhW0REREactZZ01qM3k6cn4wKv2+fpzeaL5Z6Ma5POunI6OO8CtDtO51yAPpEgHA4ZUtEwqXi4GH5TsTDJWJi6VIxkLEwq6o6TMdcmGR0op2JhEiVtUjH3NYpBOhomHNIorhxZWUK2MebDwF8Ci4HzrbWrj9DuKuCfgTBwp7X2y6PWSRERkUkok/fo6XchuLvfba6cG1KXC9p5hwXn3mBE2R7nPWwVsTAV8UiwhUlFI9RVxJhRFyEZC1MRC5OMRaiIhUnFI6SC0FsRC8rxSNDG1SVjbvRXUxmknMo1kv06cCPw9SM1MMaEgX8FrgR2AS8aY+631q4fnS6KiIiMH4Ub6rr6cnT15+nqz9HVl6O7WB4Iyj39eboKQTkIzj39ebozebL5Y48WR8OGqkSUyiAYV8bD1FfEmFmfojI2UFdRPD8QoCuH1KWiYUIaEZYJqCwh21q7ATjWJ8zzga3W2jeCtj8EPgAoZIuIyIRjraU/59PZlytuLjAHQbm0XBKau4Jz3f35Y06nCIcMVYkIVYkIlfEoVfEIU6sSzG10obcqEQ3ORYr7ykSE6iBQVwavjUfCo3RVRMavsTwnezqws+R4F3BBmfoiIiJyTKVBuaMvS2c6d1ho7hx2c0H5WCE5GXU31FUno1QnItSmYrROqaA64QJyddIF4uqkC8vViSg1yeBcIkoiqikUIqPllIVsY8xjwLRhTv2ptfa+Ef5edwB3ALS2to7klxYRkUmocNNeR1+OjnSWjnSOjnSO9nTWBeh0lvagrrNvoHysoGwMVMUj1KSi1CTdNq0mQU3SBePaZKxYX52MuH0wulyViBKLaGUJkfHilIVsa+0VJ/kldgMzS45nBHXDfa9vAN8AWL58+Tt7VJCIiExIOc8vBuT23izt6SyHeg8PzJ1Bm44+Vz5aWE5Gw9SmotSmYtQmoyyYWhmE44GQPNxWlYho/rHIJDGWp4u8CMw3xszBhetbgI+Ut0siIlJOOc8PwvJAaD4UjDQfCgK0q3Ph+VBvlu7+/BG/XiIaojYZCwJzlLmNldRVuLBcm4pSl3LlukKgDkagE1HNSRaRoyvXEn43AP8CNAI/N8a8aq19rzGmBbdU3zXW2rwx5nPAI7gl/L5prV1Xjv6KiMjIs9bSk8lzqDdb3Np6g5AclEvPtfdm6c4cOTCngvWP6yqi1KVizJ6ScsepGPUVLiTXV7igXF8Rozbp1koWETkVjD3eRSzHieXLl9vVq4dddltERE4h37d09uVo683S1pMZNigPDdJHmpIRi4SYUuFCcWGrC0JyXYUbWa5PxQYFZ40ui8hoM8a8ZK1dPty5sTxdREREyshaS3cmT1uPC80uPGc51JvhYE8hQGdo68lysMdN1fD84QduqhIRpgQBeXptgjOnV1NXEQuCdLx4rhCsU7GwVsEQkXFNIVtEZBLpz3nFkea2niwHgn0hRB8sjED3HH2kuRCap1TGaa1PcXZrLVMq4kypdCG5tFyXimlVDBGZdBSyR0hnOkd1MqKRFxEZVdZauvryHCyOKGdo68lwIAjOBwshujfLwe7MEec0J6NhplS60Dy1OsGS5mqmVMZpKITmyngQqt2xHkYiInJ0Ctkj5KavP0cm77Fy8VRWLmrivDn1RMMauRGRE+f5Npi7nOFgtwvOB3syHOgZOC6ca+vNkPMOn6JhDNSl3PSLhso4p7dU0xCEZhee3UhzY7BPxfR2ICIykvRbdQT4vuW2Fa08vnE/31m1nbueeZOqRIRLFjSycnETly5ooq4iVu5uikgZ5TyfQ71ZDnRngtAchOehx8F0jeGmNkfDJgjKbls0bSA4F0JzYV+fihHRB30RkbLR6iIjrDeT55mtB3liw34e37ifgz0ZQgbOnVXHysVTuWJxE3MbKzWtRGQCyOQ9F46LQdmF5QNDjg/2ZOhI54b9GslomIaqIBxXxGkMygNbjIYqV65OaEqaiMhYcrTVRRSyTyHft6zd3ckTG/bx2Ib9rN/bBUBrfYqVi5tYuWgq58+p1w1BImNIf8476mhz4dyBnswRH3JSGY/QUBmjsSo+KDAXRppLg3RFXH9QFBEZrxSyx4g9HX08sXE/j2/Yx7Pb2sjmfariEX5jQSOXL2riskVN1GtaiciIKjzwZGhgLr0xsPRcb9Yb9utUJyLFEeXGkikaDVXxQVM2GqviWq9ZRGSSUMgeg9LZPM9ubePxDft4fON+DnS7aSXntNZx+eImrlg8lflNmlYiMhzPt3Sks8Ul50qnbLSVzG0uhOdM/vBl6Ao3BjZUuuXmXFiODQrMhdA8pVKraYiIyOEUssc437e8vqeTxzbs54mN+3h9t5tWMq06wRnTq1nSXM2SlhpOb6lmRl1SwVsmHGst6aznAnLv4es2DyxN51bTONKNgeGQKa6mcaTQXDiur9CNgSIicnIUsseZtzv7eXzjPp5/4xDr93bxxoGeYqCoSkSC0F3N6S01LGmuZv7USi0XKGNOOpsvPtBk6CO1i08M7Ck8OTBDf+4IDz2JR4rrN0+pCG4CLKzbXBiFDkJ0TTJKKKQPoSIiMjoUsse5vqzHpn3drNvTyfo9Xazf28WGvV3FUBILh5g/tZIlzdWc3uJGvRc3V1GViJa55zJRFB54UhhFHhyYB8rtxfKRQ3M0bIpPA5xSWQjMQ0P0wNMCNb9ZRETGqqOFbN3WPg4kY2HOmlnLWTNri3Web3nzYC/r93YVw/cTG/fz45d2FdvMmpIqCd7VLG6upqkqQVgjfZNazvPpSOfoSGdpT+doT2cHlTuDfXtpm94s+eHmZwCpWNg99KTSbfOnVjKlIkZ9RZz6imiwdw9Fqa+MURXXMnQiIjLxaSR7ArHWsr87w/o9QfDe28X6PV281ZYutomEDFOrE0yrcVtzabkmwbSaJE1VcU0/GeMKc5i7+nN09eWDfY6u/lwQkoeG6IF9zxEeqw1ulLk2FaMuFS3u61JuRLl0m1IRpz544EkyppFmERGZnDSSPUkY4wL01OoEly1qKtZ39+fY+HY3G9/u5u3OPvZ29vN2Zz8b9nTxxIb99OW8IV8HGivjQehOMK3ahe/mkjA+tTqhP+O/Q9Zasp5POuPRm83Tk8m7oByEZLcvPQ5CdEm5uz+Pd4SR5YLqRIS6ihi1wSjzvKZKalNRapMx6ioGh+jaYJ+KhTXKLCIiMgIUsieBqkSU82bXc97s+sPOFeba7u1y4XtfZ38xhO/t6ufNg738elvbsA/dKIx2VsTDpGIRKuMRKuIRKuNhKmKFcoRUPOzOldRVxMNUBO1T0fCYuVnN8y05zyfn+WTzPjnPHWdL6vqyHumsC8iFoJzOeqSzeXozwT7rkc4U6g9ve6yADG4aRnUiSnUyQnUiSlNVgnmNEaqTUaoTUaoSA+VCG3ccoSYZ1coZIiIiZaSQPckZY6hJRalJRVk0rfqI7Xoyed7u7GdfVyGEu1De1Z+nN+NGY/d19dObcQGzNwiYx9cHSEVd6I5HQ4SMIWQMxhCUwVByHCI4786FjMHA4NcEbYAgLB8emHP5IceePa7weyThkCEVcx8wUsEHjWQsTENljNZ4ioqY+zCSirmfNRULk4qFqUocHpSrEhFN2RERERnHFLLluFTGI8xrqmReU+Vxv8bzbXF0tyeTJx1MjejNeMVgXhrKezN5Mnkfay2+Bd9abLD3gzprCc4f3qawd6PRro0FouEQFXEXWqNhQzQcIhYOuePIkOOgbtBx2BCLDBwXwnEhKBfCdDwS0lQLERERARSy5RQKhwxViaiWEhQREZFJR3+PFhEREREZYQrZIiIiIiIjTCFbRERERGSEKWSLiIiIiIwwhWwRERERkRGmkC0iIiIiMsIUskVERERERphCtoiIiIjICFPIFhEREREZYQrZIiIiIiIjTCFbRERERGSEKWSLiIiIiIwwhWwRERERkRGmkC0iIiIiMsIUskVERERERphCtoiIiIjICFPIFhEREREZYQrZIiIiIiIjzFhry92HEWWMOQBsL3c/xqgG4GC5OzEB6DqePF3Dk6drePJ0DU+eruHJ0zUcGeW6jrOstY3DnZhwIVuOzBiz2lq7vNz9GO90HU+eruHJ0zU8ebqGJ0/X8OTpGo6MsXgdNV1ERERERGSEKWSLiIiIiIwwhezJ5Rvl7sAEoet48nQNT56u4cnTNTx5uoYnT9dwZIy566g52SIiIiIiI0wj2SIiIiIiI0whewIyxlxljNlkjNlqjPnjI7S5yRiz3hizzhjz/dHu41h3rGtojGk1xjxpjHnFGLPWGHNNOfo5lhljvmmM2W+Mef0I540x5qvBNV5rjDlntPs41h3HNfxocO1eM8b82hizbLT7ONYd6xqWtDvPGJM3xnxotPo2XhzPNTTGXGqMeTV4T/mv0ezfeHEc/z3XGGMeMMasCa7jJ0a7j2OZMWZm8L5byC6/O0ybMfW+opA9wRhjwsC/AlcDS4BbjTFLhrSZD/wP4N3W2tOBL4x6R8ew47mGwJ8BP7LWng3cAvzb6PZyXLgbuOoo568G5gfbHcC/j0Kfxpu7Ofo1fBO4xFp7JvC/GINzEseAuzn6NSz8N/93wC9Ho0Pj0N0c5RoaY2pxvwOvC95TPjxK/Rpv7ubo/xZ/G1hvrV0GXAr8gzEmNgr9Gi/ywB9Ya5cAK4DfHua9eUy9ryhkTzznA1uttW9Ya7PAD4EPDGnzaeBfrbXtANba/aPcx7HueK6hBaqDcg2wZxT7Ny5Ya58CDh2lyQeA/2udVUCtMaZ5dHo3PhzrGlprf1347xhYBcwYlY6NI8fx7xDgd4CfAvpdOIzjuIYfAe611u4I2us6DuM4rqMFqowxBqgM2uZHo2/jgbV2r7X25aDcDWwApg9pNqbeVxSyJ57pwM6S410c/o9wAbDAGPOsMWaVMeaoozyT0PFcw78EbjPG7AIewr1Jy4k5nussx+9TwMPl7sR4Y4yZDtyA/pJyMhYAdcaYXxljXjLGfKzcHRqnvgYsxg3avAb8rrXWL2+XxiZjzGzgbOD5IafG1PtKpFzfWMoqgvtTyqW4ka+njDFnWms7ytqr8eVW4G5r7T8YYy4EvmOMOUO/EKUcjDGX4UL2ReXuyzj0T8AfWWt9N4Ao70AEOBdYCSSB54wxq6y1m8vbrXHnvcCrwOXAXOBRY8zT1tqu8nZrbDHGVOL+8vSFsX5tFLInnt3AzJLjGUFdqV3A89baHPCmMWYzLnS/ODpdHPOO5xp+imBunbX2OWNMAmhAf24+EcdzneUYjDFLgTuBq621beXuzzi0HPhhELAbgGuMMXlr7c/K261xZRfQZq3tBXqNMU8BywCF7BPzCeDL1q2tvNUY8yawCHihvN0aO4wxUVzA/p619t5hmoyp9xVNF5l4XgTmG2PmBDdM3ALcP6TNz3Cj2BhjGnB/6ntjNDs5xh3PNdyBG7XBGLMYSAAHRrWX49/9wMeCu8FXAJ3W2r3l7tR4YoxpBe4Fbteo4TtjrZ1jrZ1trZ0N/AT4rAL2CbsPuMgYEzHGpIALcPNl5cSUvq9MBRai9+aiYK76XcAGa+0/HqHZmHpf0Uj2BGOtzRtjPgc8AoSBb1pr1xljvgSsttbeH5x7jzFmPeABf6gRsAHHeQ3/APg/xpjfw92s8ptWT3YaxBjzA9yHuYZg7vpfAFEAa+1/4OayXwNsBdK4URwpcRzX8H8CU4B/C0Zi89ba5eXp7dh0HNdQjuFY19Bau8EY8wvg/7V3pyFWlXEcx78/osUacdpDW8wlQk0nlwqHwgEZiCAnWijEsiKKBJNoKFpetFCaRPbXtrgAAAS4SURBVBhEK2SGZmhKvQiXQo101MxlrqIgmi9EobIFLaxo/r04j3i83XsZxzNq+Pu8uYfnPOc5/3NmmPnNneeepx3oAN6PiJqPTDwVdeJ78UVgpqQSILJpTD+doHJPRo3ABKAkaWNqexq4HE7O3yte8dHMzMzMrGCeLmJmZmZmVjCHbDMzMzOzgjlkm5mZmZkVzCHbzMzMzKxgDtlmZmZmZgVzyDYzOwaSDnSiz5T0/OCiztkiaVCB4606hmMPpNfekubX6Fcv6dGunsfM7P/GIdvMrPtNAY4qZEs6rcbuFqCwkB0RowsYY09E3FGjSz3gkG1mpwyHbDOzAkgaI2m5pPmStkmanVYdmwz0BpZJWpb6Nktqk7Re0jxJdal9l6RpktYDd0p6SNK3kjZJ+lTS2ZJGA7cC0yVtlNRfUoOk1ZLaJS2UdG4ab7mk1yWtk7RV0ihJCyRtl/RSrvYDue0nJZXSOadWuM4rU+2lsjH6StqctgdLWpvqa5c0EJgK9E9t0yXVSfoq3YOSpHG5cbZKek/SFklLJPVI+wZI+jLVtl5S/9Temu5Tu6TnC/3Cmpl1kUO2mVlxriV713oQ0A9ojIg3gD1AU0Q0SboAeBYYGxHDgXXA47kx9kXE8IiYCyyIiFERMYxsmeoHI2IV2dLBrRHREBE7gFlkq8MNBUpkK8kd8ldaBfJtsuWvJwFDgImSzs8XL+lmYBxwfTrnqxWucQbwVkRcA1RbrvgRYEZENAAjgd3AU8COVHMrcBC4Ld2DJuC1tGwywEDgzYgYDPwK3J7aZ6f2YcBoYK+k5tT/OqABGCHppip1mZkdN15W3cysOGsjYjdAWva3L/BNWZ8byEL4ypQpzwDacvs/yW0PSe8W1wN1wOLyE0rqBdRHxIrU9CEwL9fl8/RaArZExN503E7gMmBfru9Y4IOI+AMgIn6ucI2NHA69HwHTKvRpA56RdCnZHwrbD+fnw6UDL6dA3AH0AS5O+76PiEPLJn8H9JXUE+gTEQtTbQfTdTQDzcCG1L+OLHR/XaEuM7PjxiHbzKw4f+a2/6Hyz1gBSyPinipj/J7bngm0RMQmSROBMcdQU0dZfR1V6uuMqLkzYo6kNcAtwBeSHgZ2lnUbD1wIjIiIvyXtAs4qqxmy+9ijxukEvBIR7xxF/WZm3c7TRczMut9+oGfaXg00ShoAIOkcSVdVOa4n2ZSI08lC6X/Gi4jfgF8k3Zj2TQBW0DVLgfsPPQlF0nkV+qwE7k7b4yvsR1I/YGeaKvMZMJQj7wFAL+CHFLCbgCtqFRYR+4HdklrSOc5MdS4GHsjNa+8j6aJOXa2ZWTdyyDYz637vAoskLYuIH4GJwMeS2smmVlxd5bjngDVkwXZbrn0u0CppQ/rw331kH4RsJ5uX/EJXioyIRWTTS9al6S5PVOj2GDBJUolsikcldwGb0xhDgFkRsY9sisxmSdPJ5lePTOPcW3Z91UwAJqfrXAVcEhFLgDlAWxprPkeGeTOzE0IRNf/rZ2ZmZmZmR8nvZJuZmZmZFcwh28zMzMysYA7ZZmZmZmYFc8g2MzMzMyuYQ7aZmZmZWcEcss3MzMzMCuaQbWZmZmZWMIdsMzMzM7OC/QvUAq6Bq6myzwAAAABJRU5ErkJggg==\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -250,7 +243,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -280,7 +273,7 @@
"outputs": [
{
"data": {
- "image/png": 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1rWv5FZcN0q6pLkIIL+1LeFkcrwshwrU4AoQQ19ZqjSWrk0m2ZFXaif0AapKcLP7pD/e2yuZXFCUN9W5XIerdshzUDzQvKv8gLVvuBOodtU9Qf44eh5rUF2uzPK69V/YT3OI6rMYjqD/LJaMmrt9XM+9c1J8sE1AfFttR20q0db8J9UG3dNS2rltrWOxmcWE/w7lCiGaoCXozYJqWEN2NmmQN1r44jEPtZeEsarvvm6sofybwg1B/apygKMpu1F4qPkVNUE6jtgFF29Y3aK8ztDIXVRN7Pmpb32TUffYw6i8d0dr0WcBUre6nqXnbzgY6avMv1tZzLOqxd0ar41vUu+AAI4EjQohc4CPgllp8CayUovadPRb1y106apOEsdo+tYYbUR/kW4V6bmzX/r+/wnyfVjgW9mjxrUN9buFX1CQoErjlImOai3rncL6iKEUVpj2Cuq1/RN3Ph1H33XUVft5/tkK8aaD2oY56p72q8+dp1F82clCTyPmVzPM7atvy/ahfYGdr7/cB/tL2+xLgcUVRouuyDxVFWavVeVCro2Ii/hEwXqgDwnysKEoOcBXqNk9EPebfQn0QrTK3oraNzkD9NWpuFfPVqLpztor5azpvqqurymuLoii/oa7zz0Jt4nMYtWvHetGuN+O0MtJQexKZpCjK8fqWWUN9ddqHdV3fehwjFZcdgbo9klF7LClrOvgR6nG+RgiRg3pO9ausHMn2yh6MkiRJkhyUEOIH1DapY8p9kXRYQoiXgeuBIYqi1Dhgknb39mGtOY8kSVKjIJNsSZIkByfUJlFPobbhrPWvJXoSQjwCnFYUZZXesUiSJOlBJtmSJEmSJEmSZGWyTbYkSZIkSZIkWZlMsiVJkiRJkiTJyurTb67Da9q0qRIREaF3GJIkSZIkSVIjt2fPnjRFUQIqvt8ok+yIiAh2796tdxiSJEmSJElSIyeEqHSUVtlcRJIkSZIkSZKsTCbZkiRJkiRJkmRlMsmWJEmSJEmSJCuTSbYkSZIkSZIkWZlMsiVJkiRJkiTJymSSLUmSJEmSJElWJpNsSZIkSZIkSbIymWRLkiRJkiRJkpXJJFuSJEmSJEmSrEwm2ZIkSZIkSZJkZTLJliRJkiRJkiQraxBJthDCQwixWwgxVu9YJEmSJEmSJKkmNk2yhRDfCSFShRCHK7w/UghxQghxWgjxfC2Keg5YYJsoJUmSJEmSJMm6TDYufw7wKTC37A0hhBH4DBgBxAO7hBBLACMwq8Ly9wDdgKOAq41jlSRJkiRJkiSrsGmSrSjKH0KIiApv9wVOK4oSDSCE+Bm4VlGUWcC/moMIIYYCHkBHoEAIsUJRFIst45YkSZIkSZKki2HrO9mVCQHiyr2OB/pVNbOiKC8BCCHuAtKqSrCFEPcD9wO0aNHCWrFKkiRJkiRJUp01iAcfARRFmaMoyrJqpn+tKEpvRVF6BwQE2DM0SZIkSZKkRstcWqJ3CA2SHkl2AhBW7nWo9p4kSZIkSZLkQE5tnMeh7l1ZP2OC3qE0OHok2buANkKIlkIIZ+AWYIkOcUiSJEmSJOkqcc9aMqMP6R1GleJ3r8elFILnH2LVw8OxWORjcbVl6y78fgK2A+2EEPFCiHsVRSkFHgFWA8eABYqiHLFSfeOEEF+fP3/eGsVJkiRJkiTZzJFf3iP1zsfY/uwkvUOpUkFyEgBRnZwJX5/A6tsvo7SoUOeoGgabJtmKokxUFCVIURQnRVFCFUWZrb2/QlGUtoqiRCqK8roV61uqKMr93t7e1ipSkiRJkiTJ6o4v/4riV77FpRScMor0DqdKpRnnKXSCUfN3cepyXyL2ZrN+fD8Ks9L0Ds3hNZgHHyVJkiRJatyW3z+YdUM7sv71W8k/f07vcGzm9IYfyX3xQ3LcISbCiHuOondIVcvKJ9cTjCZnrvlyK2eujyD0dDFbbxjK+fiTekfn0GSSLUmSJEmS7ooLcmj+VxoBaQrB8/Zx6IohLH/4ClKO79A7NKuK3baYjKdfp8gZQj94BRHuT5M8KC7M0zu0Sjlnl1LkZVRfCMHoWStJmdybpilmDky4jpTDW/QN0IE1qiRbtsmWJEmSpIbp8OIPcS+CnMmDyHvhOtJDTESsTyb1hrtZNqEnR1Z8qXeIFy1h7xoSH3sBi4Cmbz9Lq8tuwiWgKSYLJJ/+S+/wKuWeq2D2drngvWFT5pH/3Djc8xTO3HUfMZsX6BSdY2tUSbZsky1JkiRJDVPixtWUGqDrhGfofecsRi89hMfsmcT28SL4eAGGpz5izfBObPn4IUoK8/UOt85Sjm4l5j+PYzSD12sP0e6KuwHwCg4H4NzpPXqGV6m8giy8c8Ho5/WvaZdNehvn1+/HAmQ8OoNjv3xg/wAdXKNKsiVJkiRJapjcj2WQGGqgSXDbv9+LGHgzY3/YSeTKRZy9JgK3XAv+n29k55BerH56DFkJJ3SMuPbSo/Zy8t7JuBaC8/S76DTq0b+n+UZ0ACArzvHaNydH78DZDC5VDPLXdeyTBH72MlleUDLja/Z+8YydI3RsMsmWJEmSJCvIjDlAXrocW60+EvavJeicAl3DKp3uHdKBq99eyWWbdpPx8BByfAy0WBZNzMjrWD6pH9Fbf7FzxLWXFXecQ3fejmcuWJ6/ke7XP3fB9GZt+wGQn5yoR3jVOndqHwBewS2qnCey3wTaf/c1Cc0FLh8tY9vLd9grPIcnk2xJkiRJukixOxZx6vpbOHTVcNbNuJGSghy9Q2pQjv2mtreOHHtbtfOZXD0Y+OhXjFxzBN57iLiOroTuyabo3mmsGt2FXXOmYjGb7RFyreQmx7D3jhvxzVQofGIUfW597V/zeIZ3wCKgOC1Thwirl5VwGgC/iE7VzhfcbjCX/fc3TrUx4PvTbjY/MgpFceAeU+ykUSXZ8sFHSZIkyd6y4o8S89RLCAWyfQ2EzD/K1uF92fHF4w6V8Dmy4r2nSPeGVoNvrfUyHcY8yrj5+wj69RuihzfDJ6UUzzd/5c8hndkwcwL5mck2jLhm+ZnJ7Lh9LAGpFrIfHMJl975f6XzCyYlcd1CyHK93kfwkdSCapm371jivT/N2XPXfjRzp7kyzdTFsvG0gliLH7f/bHhpVki0ffJQkSZLsqaQghx2TJ+CXBYZnJzJ89UHSHxmGwQLeH61h7aiuHF36sd5hAlBaVEj8vrV6h/EvBdnnCI4pIautFwajsc7LN2s/iDGfbqbHxj9ImtSNEpMg6OdDHL3iClY8MITEw5ttEHX1inIy2TJxBEEJZs7d04fBj3xV7fyFXgacskvtFF3tFaerd9ddw9rUan73Js24du4ODl7uRdDeTDbd2J+S81m2DNGhNaokW5IkSZLsRlFYff8wwmPMpE7sTq9bp2MwGhn0yGf0X/cXZ8e3w/ecBfHMFyy/sQfxe1boEmbKsW2sfHwEfw3uQc7Exzi0uPI7qno5+Ou7uJRA00GDLqoclyYBDHvxZ4ZtOET+jAkkRzgR/sc50if8h+UT+xC3yz7bv6Qgl423DiUsppTEWzsz7Om5NS5j9nbBPcdih+jqKCufPDcwuLjUPK/GydmNCV/s4Mh1IQRGFbLt+kHkJ56xYZCOSybZkiRJklQPa168hshduUQN9ufKaT9dMM3ZowlXv7aYdiuWEjU0gNAThWRMmsLyyQPJijti89jMpSXs+mEqK67rxrkb7iVidTw5vgaKjRC72LH6ND63eTPFJug6/mmrlGcwGuk18WXGLj6I59xZxPT2JPRgLucnTWHFzb2J/et3q9RTGXNRIetuG0z4qWJib2jFiGkLa7Wc8PXEOxdyChyrXbZTTimFXnVPFYXBwPg31xF9T2d8Us3su3EMmcd22iBCxyaTbEmSJEmqo53fPk3I4tOcaePEyE/XVTmfd1Brxn75B03/+wlnO7sRsSWDU+PGs+a5sRTnWv9n9LSovayeMoptg7riOetXmsYWEzPQF9fZMxm5+ggJkU74Hz6PuaTY6nXXh6IoNDl+nsQWJtz9g61efnif6xg3dxcBP3/CmX5NCD6SR+5dz7N8Qk/ObP3VqnVZSktZPWkQEUcLiR4Tysg3ltd6WZcAf7wKISlhn1VjuhiKouCWY8HcpPZ3sSsa98xCzj11Jc4FCqduv5OkLUusGKHjk0m2JEmSJNXB6Y0/YPx4OSkBgiHfLcXk4lrjMiHdhjN2/l4MHz1BWnMjYb9H8dfwy/jz/fsu+uFIi9nMvp9fZ/mNPUgadxstlseQ72Ug5Z7edN20ibHfbqPlwJsBcB/YHZ9cHKbJSPT2XwjIAlOPVjatJ7jLcMbN+YughV8RPcCHkGMF5N87lRU39uT05p9qLqAGFrOZVfcMouWBPE5f2ZQx766p0/Ke2oA0qQ40IE1W/jl8c0H4elxUOcPv+RTzy3dQbIDkh54j+reGP3JnbTWqJFv2LiJJkiTZUtrp3SQ//yYlTtDu00/wDAiv0/Idrn6AkSsOcv7psZQ4CZp+vYUNw7twYMGsOseSFXeUNc9fw5+DO+M680cCTxcS27cJpi+e4+q1Rxj67DxcvQMvWKbnpGkUGyF+he2aTNTF6d9/AKD9dZPtUl9ghyGMm72d4F9nc2awL81PFVDywCusuL47pzbMq1eZiqKw+j9X0HLneU4N9GbMx5tAiDqV4RveHoCss44zIE1S8iGa5IFLQNOLLqv/tS/i/cFzpDeBvJc+4sjX06wQoeNrVEm27F1EkiRrOLzkY1JPbNc7DLspzs1i5egu7PzuuZpnvoQVZaex9z934pUHHtPvJ6TrlfUqRxgM9J/8DoPX7Sbhtq545Cg4T5/Lymu6EVPDoCoWi4VDv73P8pt7ETvqRsIWn6LYVZB4e1c6rF/D2Dl/0eaKu6pcvklQGxJaOeF3KMshmoxYDsSQ4g9hfcbZtd5mbQcw9ptttPhtLlFD/QmMKqL0oTdYeW03jq+ZXaeyVj82gog/z3Gqjwdjv9pSrx5S/Fv3AiDPgQakSY3ehwHwDKp8gKC66jLoLlp9/SGxwWB4/xf2f/yUVcp1ZI0qyZYkSbpYMTsWoTz/BUfvuYe8jCS9w7GL3fNmEBFdSub82rchvdRYzGbWTh5BWLyFrHsG0OXaJy+6TCcXd4ZPm0+X1WuJviqIwJhicidPY8Wk/qRF7b1g3pzkKNZNu5HNl3fG9MI3BB3L52x3D5T3H2bE+iNcOXU+Hk1rlwy5D+yOby4c+l3fJiM5qWcIiTOT195XtxiaRvZh7JdbaPn7T0QNCyAgphjlsXdZOa4bR5d/UePya54dS/jaBE53c2XMd1sxmEz1isMlXB1K3pEGpCm7q+6jDftuDa06Xk2fH34mKkxg+XYl6cd3Wa1sRySTbEmSpHKOvjETswEC02HjY9fqHY5dZK5V+xFuEWsmfu8qnaNxTGueHknkwULOjAji8qfqdqezJp7+oYz5eAOhC2dzppcnLXad5+z1t7Hqias4/NsHLL+1D1EjxhKy8ChmA8Tf3IHWa5Yy7sfddBz9SJ2bJvS8cyolRohfrm+TkYML38XJDEFD6/eLgDX5tezO2M//IHLZL5wZEUhAXDFiysesGtOVw0sq7+d8/fSbCFsSRVQHZ0b+8CdGp/o/IGho0oRiJ8cakCYvOQEA38juVi03MKQbLac9g1Bg31OTG/XIkDLJliRJ0uz5cTotT5aQNDyE6EG+RO7OYeunj+gdlk3lnosl5GQRZyLVO3CHvn9H54gcz9aP/0P4yniiOrky8kPbDebSrN0Axv24C9cvXiQp3ET4qjiML3xNyKFc4jq5UfLmPVy58TAjXl5Ek+at611Pk6C2xLcy4XdY3yYjmdv+osAZOt8wRbcYKvIN68ToTzbRZvkizowMwi+xBOOzX7B6VBcO/Pru3/NtmjWJ4AWHiW5j4qq5m3By9byoeoUQFHgaMDnQgDRld9WdW9RuIJq66DTkbs6ODiMkupjtb91j9fIdhUyyJUmSgNKiAs5//QsZTWDoy/9lxIfLSWgucP52PUmHNukdns3snjMDl1IIuuNmzrYw4LErUQ4FXs6xZZ/i8c1m4oMFw75dWa/2tnXVeugdjFl6iPyZE0m4rTPhK39l3M976XrdMwiDdT623Qd2xzcHDi/50Crl1ZXFbE0pmJMAACAASURBVMbvZB7JLZ1x9vDRJYbqeId0YPSHG+iwchkxo0PxSSnF+aXZrL66M6ueGkXA3F3ERBgYNm8tzl7Wae5i9nbGPdeC2eIY55/lfD5mAxj9/GxS/qhXfiMmTOD6vx2kHN1qkzr01qiSbNm7iCRJ9bX5rbsISlUw3zIAN+9AnD19afXaTExmOPj0I5QWFeodok0UbN5DRhPoeuOzOA3pSkAWHFwk72YDJB/eRNbMz8hzhW5ffIe7b3O71t/rlukMn7YQ39COVi+7xx1qk5G45b9ZvezaOLFuNr454NqrvS7115ZX80hGvb+WTqtXEjuuBd5pZsJXxBAfIhg8bzluPtY7JoSPBz65kJ6XYrUyL4Yxu4QCT2G1L3YVObt40GbGNLXZyDMPNsov940qyZa9i0iSVB85KdF4/H6QuBADgx7/+u/3Ww2aQOaEbrSINbP2+Wt0jNA2Ms7sJzS6lKxu/hidnOlz/xsUOkH8b9X3cHEpyEtP4MgjD+FSDP5vTKFZu/56h2RV3iHtSGhpwvdQFubSErvXf2aVOhJip/ENozmWZ0AEI99ZTZc1azn3wEAum/c7ngERVq3DOcAf3xxITj1s1XLrw2wx455jobSJs03raT1oIsljWhEeVcKmNyfZtC49NKokW5IkqT7+mH4n3nkQ/Nh9/2oOMPTF/xLd0ZnQ1XEc+v0DnSK0jb3fv4rJApHj7wDAq1lLEjq4EnQ4j/zMZJ2j04+5pJhN946mebJC4YNX0X6Effpwtje3gd3w06nJiOlQIkmBgsCOg+1e98Xw8A9lyJPf0iTI+u2UPYNa4GyGlLMHrF52XZ3LTVYHovFxt3ldV726iLNhBrwX7CX+0Hqb12dPMsmWJOmSFrd3BaFb0ojq4krna5/413SD0ciAj/5HtidkzfqanJQzOkRpG+btx0nxh7bD/0kim48bg3sx7P72BR0j09fqR4fT6ngx8eNaMuDBj/QOx2Z63DGVUgPELbNvk5GMs4cISbBQ1CHArvU6Op8ItelMpgMMSJOcdhS/XHBu6m/zuoxOLnR47XWMZtj//BOYzY7z8OfFkkm2JEmXtIOvvYhigJ7T3q1yHt+wTrg/eSt+52HzY+PtGJ3tJB5YT4s4CwW9gi+4e9/jlulkNIH8DY27/9qqbHzzdlpuOkdUTw9GvLlU73Bsyju0PfGtTPgezrRrYnNwwfsYFAgdMdZudTYEXi27AJCXpP+ANCmJh3EvAo+gELvU16LfdWRe047IqFLWzJpolzrtQSbZkiRdsvYvmEWro0UkXt6c4BpG7+sxcRqxVwQSeSCfze/ebacIbefQPPXhxo63PnzB+0YnZ7J6BRAWYybp8GY9QtPNgYVv4j9vD2dbGLjqm/V26UlEb24DuuKXbd8mIzl/7SfXDTqOe9RudTYEzmGtAChKz9A5Esg4ewIA77C2dqvz8pcXkhBqJGDhYaL2NY6BsWSSLUnSJclcUkza5/PI9IQhL8+t1TIj3ltKXIgBz7k7OLtrmY0jtC3TrrPEBwnC+9/wr2kd73gUgwIHvntDh8j0Ebd7GYWzfiDLC/p8/RPOHpfGA/Q9Jk3Tmowsskt9pcVFBJ4uJDXSFaOzq13qbChMzZoBYMnK1zkSyNUGovFq1cVudRqcnOg8621MZjg87VlKSorsVretyCRbkqRL0p/v3UtIskLR+N54+tduOGonNy/av/UWACeef46Sglxbhmgzpzf/j+AUBaVfq0qntxxwE3EhBtx2nG2U3WpVlJ10iqgnnsFohuB3ZuAX0VXvkOzGO7Q9CS1N+ByyT5ORI8s/wasAvPpZdxTBxkA4O1PoLjBl27+3l4qK0tS76aawyq8RttK8z2jyrutM29MWls2aYNe6baFRJdmyn2xJkmojNz0Ol192kxAkGDKlbkNkt+g9ltw7+hOaYGHt0+NsFKFtnZz/NRYB3SY9X+U8hsHtaZYBR5d9YsfI7K+0MJ+tk2+gaTooU26k9eBb9A7J7lwHdME/Gw4vtf1DnnFrl2ER0GXCUzavqyEq8XbCIxcKS/Xtl9+cqQ7vbgq0b9/wAANm/kRKqJHQRSc5unuh3eu3pkaVZMt+siVJqo0/pk/CJxcCHp6E0anu/cBe/sz3RHV1I3xDMvt+ft0GEdqOxWzGc28KceFGAjsOqnK+3ve9TrEJYn75nx2js79VDw4jIqqU5Akd6TPpNb3D0UVZk5Gzy361eV2uR1NJDDbgG26/ZggNifDxwDdXISUnQdc4jDkllDiD0dPD7nULk4kub3+EcykcmzmTwuI8u8dgLY0qyZYkSapJ4sH1BG9OJrqjC93GV30ntyaXf7yQdG/If+9HMuOOWjFC2zq67BMCssB5YKdq5/MJaU9cOxeaH8qhKCfdTtHZ17oZNxC5/TxRl/kw/GXbJ5iOyjusgzowzUHbNhlJOr6VkGQFc+dgm9XR0Dk39ccvR+1CTy+FpYW45yqUeDnpFoN/zyspvr4nHU9b+G1Ww+3RSSbZkiRdUva++gxCgW5TZ11UOV7NI/F94X6a5MH2xyY2mLbLMYvnU2KEnnfPqHHegFHD8SiEXbNftENk9hW/dyXNFxzjTKSJkV9u0Dsc3bkO6Ix/NhxZ9rHN6jjyi9r0qOXIhps02ZpnUCje+ZCcfEy3GFJyE/HNUcDXTbcYAHrP+IG0EBORv8WwZ0ftHk53NDLJliTpknFo8QdEHiogflAAoT1HXXR5Xa59kviRobQ8VsymN263QoS2VVpUgP/BLOJaO+ET2rHG+Xvd/gpZnpCzbrsdorOvkyvmYlSgzZRnMLnom0w4gu53vKQ2GVn6i83qKNxzjPMe0OaqxjmCpjV4t2gHQEa8fgPSJKcfxy8XnPx9dYsB1GYjXd//AtcSOP36m+QWZOkaT33IJFuSpEuCxWwm6ZNvOe8BQ16ZY7VyR7y5lNhwA34L9hO9ZYHVyrWF/QvewCcPvIb2q9X8Jld30nv4ExZVQurJv2wcnX3lHz1Fngu0ugQfdKyMT4vOJESovYzY4leZ4rzzBEUVk97W45Lof7y+XFt2ACAvWb8BaZLTT+KXA+7N9W/W491tEMr4fnQ9pbDgzRv1DqfOZJItSdIlYcuH9xOWYCH/uq54BVqvWyqTsytd3/2EEiOceWkmxbmOe7clecUKCpyh952v1HqZ9rc+gFGBfd/WfpmGwONsHudCTfV68LWxch3QGf/zcHi59XsZObD4PdyLwXdAX6uX3ZiYQiMAKEzP1C2GtISTmCzQJDRStxjK6zp9NpkhTnRaksiWP7/QO5w6kUm2g8rPTGbFtd1YdmN3Vj5+JVs/eYgz2xZQWqh/J/WSdDFKCnJJPbHDrnXmZyZjnL+NpGaCIc/OsXr5wV2GUXzvUIJTFNY+Mcbq5VtDUU46zY/mk9jeDXe/oFov1/qKO0gIEjhvP2PD6OwrM+4IzdOA1s30DsWhlDUZiV1q/YdAkzetp9QAXSc8Y/WyGxNHGJAmJykeANfw9rrFUJ4wGunywde4FcPZdz4hKzdV75BqTSbZDmr/T6/T8kQxTWOKiFidiN9nGym8ZwZHevViw5COLLuxByufGM7Wzx7mzLZfKC0q0DtkSapRwv41bB7dl5Tr72bN8+Ps9rDg5pdvxy8bfB64yWbtbwc++gVRvT1ptSWDXXNesEkdF2P33Bl4FEHAVcPqvKxlYFuan1M4tuorG0RmfydWfgdAsz4DdY7EsfiEdyYh3ITPwQyrn5uexzJIDDPiGdjSquU2NkYfH8xGMGaXoCiKLjEUpqm9CZlC7TsQTXW8uvbH6abB9Dip8L+3b9I7nFqTSbaDytiynQJn6Ll5O6GbV1D65n0k3d6d+P6+FHka8Y0rJGJVAn6fbKDwnmkc6dVTTb7H/5N8x2xfJJNvyWHsnP0siXc/jm+6QkKYgbDFp1l5Y0+yk07btN6Uo1sI3JDAmXZO9LztZZvWdcVHi0nxB/Mni0mL2mvTuuoqa/0Wst2hx63T6rxs78mvUGKEqPlzrB+YDtL37cIsoN1I+QBeRS4DOtH0PBxe8anVyozds4zmaSC6hVutzMZKCEFJEyea5EJ2cbYuMZRmqf1SOzUP1KX+qrSf+jnZIS70WprKmo3v6R1Orcgk2wFZSkrwP5FHUitnnD198ApsSZfrnmLY1J8YM3sbo1YcYuDOY4RuXk7prMkk3daN+H6+FHka8D37T/JdcPdLFZLvEZzZZrsnxyWpMqVFBax4+Ao83llKjqfA78tXuGr5AWLHhBN+opj9N4zj+NpvbVb/rlcex6kUOr0w02Z1lPHwD6H59CdxK4Rdj9/lMN365aREE3KyiHOdvXB2r/tgXX4RXYlr40zAgSyK8xv+iLrG6HRSmgk8m7bQOxSH033SS5gFxC6x3kO8xxer53fbcXdarczGTPi445urkHT+rN3rVhQFgzasu6lpU7vXXx1hMtH5w29wL4aUD2dzLjte75Bq1KiS7MYyrPrx1V/hkwfufTtXO59XYCu6XD+FYdN+1pLvwwzceYyQjUspfeNekm7r+k/yHVtIxKp4Trwy0z4rIUlAevRe1l3Xh5brkznTzY1+i9fRcsBNGEwmRr63ipLpt+JUDEVPvseG1ydavf6jKz+n5f58zg7wI7z/DVYvvzLtr76f5HGRRJwuYf10+9RZk93fz8SlFELHXl/vMnyvvpwm+bB7zlQrRmZ/xQXZBCZaKIxooncoDsk3vAvxESZ8DlmvyUjpvijSvSF8oOwfuzacmvqqA9Kk27+v7JySHLxyFUo8jAhnx3so2KNLH1xvHkbvEwrz3rlZtyY1tdWokuzGMqx6zKpFWIDOE56s1/JNglrT5YanGTZt/j/J965jRA3wISjOTMH5hvPQgCMpzj/P8oeGsvy+qoeilv5xcNG7nLj5NoLOmkmY2JnR/9uFh/+FXUL1mDiNyJ++JynESNC8/Sy7pRf5mclWqd9iNhP3/mfkucGgV76zSpm1NeK1xcS0MtFs8UlOrvvernVXpvDPfWQ0gS7XT6l3Gb3vfJVsd8ha/YcVI7O/Uxt+wLUEvLrU3E/4pcrlsk40zYIjVmgykpeVREhMKefbeyMMjSrlsBmP5qH45UBSxim7152ck4RvDijernavu7Zav/gReSGuDFyWwe9rX9U7nGrJI94BOR9OJiHYQEDr3lYt179vX5zNcHTZZ1Yt91KQeHA9m8YNoNWGFFr9mc7O7x3vwTZHYTGbWfPCNYips7EYwOnthxk+Y2GVfeM2a9uf4Ut2EX1FMyL357PjmmFWada07bNHaBFnIXtsB7yD2110eXVhMJno9dE3FLhC4sx3rPbFoT7SovYQFl1KVnf/i+quztndm3PdfQg7VUxGzAErRmhfCVvXANB6xK06R+K4uk96EbOAmKUX32Tk4C/v4lIKAUOGWCGyS4NnWCQupXAuJcrudSdnHMcvV8Ho77g3K4XJRKePZuNeDFmf/0y8Dl9Gaksm2Q4m5dgWQpIVzF1r38VWbXW69hHMApK3brJ62Y3ZX7OfIf7OR2h6zkLKpF6ke0Pe7N8pKczTOzSHk5MSzcqbehH22yniIp3o9MsvdBzzSI3LmVzcGPPFZs5PGY1XjkLmf6ax5aMH6h1HUU46yv82kdIULn9Rn+F4m7Xpj3hwDIFpChsev1aXGAD2zXkNowKR4y++PWzrm+/GZIHd30y3QmT6KDkeR6YXBHcbrncoDss3oisJ4Ua8rdDLyLk/t1Bkgq43Pm2l6Bo/5/C2AOTqMCBNcsZJfHPAPbC53euuC7fOPfG85Wr6HVeY9/7tWBSL3iFVSibZDubIwk8AaDnqZquX3SSoDcnNBU4n06xedmNUUpjH8gcvx/OdZeR5Cnw+m8nQF3+EW4fQPE1h8xuT9A7RoZza8AN7rx9DxLEiYkeHcfWi3fiGdapTGf3ve4/g7z8k3V/g/8UfLLv7snoN7rLx5dtomgXu916Lk5tnnZe3ln6T3yVqgA+RO7PZ/uUTusSgbD9JSlNoe+U9F11W+6vvJ6mZwLjVce8c1cQnvojMMBe9w3B4zgM6EZAFR1bV/5dPi9mM74lskiKccPWRfZLXlilEfSC3KM3+A1ulpMfgkw+eIRF2r7uuIl54l8IQd65Ykc1PK1/UO5xKySTbwRTuPkZGE2g7/OI/ECtT1MafoEQLuakxNim/sUg5upUN1/Sl1cZUzvRwp9/idbQarH7xGfDI58SFGWiy9CjnE0/oHKlj2PTWneQ9/iYuRVA0dQIj319T76YJIT2u5vKl24jq703k9iw2XTOQxAPrar38uVO7CFgTS0xrE33vfrNeMVjTiI+WkRgoMH61mtQT2+1ad8K+1YTFWyjoHWK1oaxLLmtJcLLCqQ36/EJwMRIPrsMvG5zahukdisPrpvUyEvN7/ZuMnN76E02zwLlHaytG1viZAtWu88zn7T8gzfmUOACcwhx/nwmTifYffYdnIRR9s4TTKfv1DulfZJLtQArPnyP4TAmZ7bys9oFYUcBlAzFZ4MgS2S67Knt+nM6ZOyYTmGgheVIPxv60B/dyD+wZjEZCn3gQjwLYMt02X4YaiqKcdJbd3pfA73eSGmig5bxvrNIXtbOnD2Pn7ODcA4NommYh4a5H2Tn72Vot+9fLD+FcCm2edYx28y5e/oTPfB6XEtg95X67dut3aN77AHS89VGrldlz8nRKDXDyp4Y3MM2pdT8BEDJwhM6ROD6/siYjh9LrfcxGLfsvAO1v+I81Q2v0ykZ9dMo2U2optWvdBefUX7qdQhvGoEFunbvhdetoLjumMO+Te+2+vWoik2wHcnDh27iUQNMhg21WR6drHqPUAGl/2feOWkNgLilm5WNX4vr6QopcwOPD57jixf9VOm/HMY8Q092dFtsyiNmxyM6ROob4vSv585rBRO7OIXqQH1cs2UFgR+v2vDLkyW/w/mwGuR4Cj3eWsuLhodUOsHRi3Xe03JNLbF9vWg9xnAfbWl8xieSxkbQ8XcrGV2+xW73Ou+OIDxaE97Vem/CANv2Ii3TCf29Gg3suIefgEYpM0PbKu/UOpUFwvqwTAZlwdPUX9Svg4FlS/QUhPa6ybmCNnMHFhVJ3Iz65CmkF9m3eWaoN525q7thtsstr8dyblIR4cOO6YgzFJXqHcwGZZDuQc5v/oMgJut5Uuzt29eHhH0xSsAGXUxk2q6MhSovay5prehKxJpGYTq70WrySNsPvqnaZ3tM/otQIR2fZdhRBR7Tj66dIvucpfNMVMh6+gjHfbsXJ3csmdUUOvoW+v6/jTDc3Wq5PYd21fTh3aue/5rOYzUS/+z4FLjDw5W9sEsvFGP7qImLDjfj9epjYv36zeX2nN84lKFVB6Wf9n329hg/AOw/2zpth9bJtySU2m9Qgg82O1camm9bLyJnff67zsllJpwg9ayG/g58NIrsEeLvhm4tdB6SxKBZE2UA0zRpOG3rh5ES7L/9H+5+WYHB10zucC8gk20FYzGZ8TmST0NIJdx/bDmVa2i6AoBSFzLgjNq2nodi/YBYnb76N4LNmEm/uxKj5u/FsFlHjcoEdB5E8LISWJ4rZ82PD7W2hLkqLClj+4BC8319Jjpeg6VevMfDRz21er4d/MKP/t4vEW7sQFGfm9MQ72T//jQvm+eubKUTEmMkY1Rrf8C42j6mujE7OdH37AywGOPniVEoLbdve8sSC2VgEdL/L+g8E9b33DXLcIG1l7dvK6y037SzNUxRKW/nrHUqD4deyGwnhRpocrHuTkQO/vIvJAsFXyLvY9eHk74tfjkJyxnG71ZlRmIF3roLFAEZfX7vVaw0ubdri3NLxmrjIJNtBRG2ci182uPSyfX++zQddiUGBo0tsnxw5MovZzKqnR2GaMRezCZzffYwrX/6lTu3hL5/5IxlN4PzXv1TbjKExOHdqF+uu7UOrjeeI7u5OvyUbCL/sRrvVbzAauXL6ApzffZxSE5hmzmP106OwmM0U552neO5qUv1g6LQf7RZTXQV3G0HOrX0ITbCw7nnbdetnMZtpsi+VuHAjzdr1t3r5Lp5+pHZpQuiJIrLijlq9fFs4sXo2Jgv49eqjdygNinP/DjTLhKOrv6zTcue376bAGTper0+vOg2de/MgdUCaTPv1lZ2ck4hfDijeLggh7FZvYyaTbAcRtUxt+9tp/MM2r6vT2IcoMkHmrj02r8tRZZ49zKrrehC+LIbYds50XbSYDqMerHM57r7NMU+4jKBUhc1v3WX9QB3EgV/e5NTESQTFmUm6tStjft6Du68+bfY6jPoPXRct5mxbZ1osi2Hl9T1Y9/z1NMsAlztH4uzuuIMoAAx5+nuiOzoTsiaeYytt80X3yJKP1F4dBtnujn7E+Ik4m2H3t9NsVoc1pezaCkC7kbI9dl10u+NFLALOLKl9kxFzaQlNT+aT0soZJ3c5fH19uIW2xDsPkjNj7VZnUuZJfHPB6Cf3mbXIJNtBGA8lktBcENRpqM3rcvHyJznUiHtUts3rckSHf/+Qo+NvIiyqhLjr2zDq170XNSLgoCe/IT7EgMfvB8lOibZipI5h/Ss3YZj+w993+4dNn693SHgHt2Pkor3EXtuKFqdLaLk2idgII30nv6t3aDUyGI0M+OBHct0g5bVPKDifavU6Yn9fQLERet0z0+pll+k45lGSm4KyxX4/Z1+U0ymk+oFvi856R9Kg+EX2IKGFkSYH0mrdZOTYmq/xzQW3PnXrJ1/6hymsFQYgJzXJbnUmZ5zCL0fBNSDAbnU2djLJdgDpUfsITrBQ1Mm2bbHLUzoEEXROqfQBssbKYjaz5sVrUV7Quh574z6umrXkortLNBiNBD02Ge88+HP6xY+q50hiti8iYP5hEloY6fLLonrd7bcVg9HIyLeWY3nlTmIiTbR5aarNur60Nt/wLhgfHEdgOqx/0rrNRkqLCmh66DwJrZ1tOpy8wWikqF8LQhMsRG+5+OG3bclcWkJAfCm54R56h9IgOWlNRo6trV23jbFr1B6XOo+XTUXqyxSs9uVemJFptzqTs8/ilwtuwS3sVmdjJ5NsB3BowfsYgBYjr7NbnaFDRgJwbOnXdqtTT9lJp1g5vidhi04S18pEx4UL6HLdU1Yrv/O1TxLdxY3QLWmc3b3MauXq7egbMyg1Qo/3v8QntIPe4VSq2/jnGbX8EJGD7dc1njX0nfw2UX29iNyWxe55U61W7r6fX8U7D5oMs35b7Iq63zsVi4BjP35q87ouRvSWn/EsBPeObfQOpUHqNkltMhK9+KdazW86lERSoKBpu742jqzxctIGpCnNst+zPmkZCbgVg1NIuN3qbOwaVZIthBgnhPj6/PnzeodSJ/k7D5HlCR1H2u8uYfuRD1DgDNl7D9itTr0cX/UV+6+/hvDjxcSOacHVv+2xSe8TPae9iyLg0BvWS5j0tOPrKbQ8Vcq5EeFW7/9aUl3xwW+c84Wij38lK/6YVcpMWbmaAmfoOcn2XUs27ziYsy1N+O45h7m4yOb11VfMH0sAiBh6vc6RNExlTUa8DtbcZCT1zB5CExWK7fjLbGNUNuqja46F/BL7jPxYNhCNKbSVXeq7FDSqJFtRlKWKotzv7e3YDz6VV5x/nuZRRaS18aj3MNT14eTmSUoLE15RuXar054sZjPRWxaw+umRFE35EKdSKJ15OyPfW22z7RzUdRiJQ4NodbSIffNft0kd9lKUm0Hx9ys45wtXvFz3PnKl2vHwD8H3+QfwzoUtT1784DkF51MJOpZPYgc3uz2Y6j6sD745sPenV+xSX30UHosm1xXCL7tB71AaLKf+7QnMgGNrq//18/DCDzEo0OIq2/Wecykw+vqiGIXajV9+sl3qLMlSB5dqSAPROLpGlWQ3RId/fQ+3YvAdZP+f1Qwdw2iWCYkH19u9bmsrysngwC9vsWrKSFaM68ru3p0pmjyDFstiSWphpM3P8+h+80s2j+Pyl+eR6QkZX/wXc0mxzeuzlQ3TJxKQCS73jsXZ00fvcBq1Ltc+wdkrmxN5qJA/PrjvosraO3cG7kXQ7Gr7DRveZ/Ib5LtA6rKVdquzrrxi80kLdcJgMukdSoP1d5OR3ysfBbdM3s5D5LhB+9EP2SmyxkkYDChNXPHLgeTsOJvXV2IuwZCtDkluaiYffLQWmWTrLHnDOoqN0G2C7UZ5rEr4MPVOw8kVc+xe98XKOLOf7V88zvL7BrFmeCeO9x+I89Q5hC+PxTOthNS2biRO7IzTly9x1bIDNG3d2y5xefiHUHxTH4KTFTa/c5dd6rS25CN/ELjuLGfaONFv8jt6h3NJGP72YhKCBG4/bCH5yB/1Lidrwzay3aHHRPt1q+fu05ykzp6EHCsgJ9l+ffrW1rnoPQRmgKFNkN6hNGh+kT1JCDPiVU0vI8WFuQRGFZHW2g2Ds/1+mW2snPy98c2F5HTb9+CTWpCKr/bDtlMDGu3R0ckkW0eKouB1LJOEcBNeARF2r7/NlXeT6wq5+x17MAmL2cyZrb+w4fWJLJvYi80DOpAyaiI+H62hxdZ0hEUhvr8vGQ8PxX/p9wzZfoyx8/dy5YyFtB56u917nBj81LdqwrRoH7mpMXat2xp2z3wcoxk6TX1V71AuGc7u3rR8ZTpOpbDv6YfqPLoeQHbSaUJPFXOucxOc3DxtEGXVwq4fj0sp7PrG8Z5HOLn6BwAC+w3WOZKGz6lfO7XJyPpvK51+eNkneBVAk/497RxZ4+Qa2By/HIWkrDM2ryspNxG/HAXF1YjBQ/bCYy0yydZR7JaFNM0CYw99HjIwOjmTGuGMb3R+vT7UbaUoJ4MDv77NqqdHseKaruzq05nCe6cRNG8/zY/lk+9nImZUKAUzJhK5ZQMjNhxlzOxtDHz0C5q1sX2PCjUxOjnT7OG78MmFzTMbVpd++xfMIvJQIfGDAwjvJ9tU2lPk4Fs4d107Is6YWT9zfJ2X3/P9TJxLIexa+43CE0y6/gAAIABJREFUWabL9U9zzhdK/zho97prkrlvL6UGaHf1xTXFkaDrpBewANGL/1vp9IT1K7AI6DJhin0Da6Scg8Pwz4GknHib15WceRrfXDD42vcLemMnk2wdnVoyB4D2NzygWwzOnVrilw1xe5bqFkOZjJgDrBzVWW368dL3hC+LwSu1hHOt3Ui4pSOmz5+nx64DjFp2iFEfrKXnxOm4+znmT8Bdxz9LdEcXQv9IJWHfar3DqZXSogLSP5tHphdc/nrlH6KSbV358q/EtDQS8NvxOvc9XbhlP+ne0OU6+yc4BqORvH4hhMVZOLtzid3rr47pTCapgQI3X9nbxcXyb9ObxBZGPA+cQ7FY/jXd9Vg6iSEGvMMcs7vPhsYptCWuJZCRafsHH5MzTuOXo+DS1N/mdV1KZJKtI2V/LEkBgvBeo3WLoeVVEwA4tbL6h1nsYecnzxJxxkxcH2/SHhyC/+JvGbzjGGMX7GX4zF9pM+xOu/bAcrG6T30LgH2vP69zJLWz6Y3bCU5RKL1lAJ7+YXqHc0kyGI30ePdzSk0QPW0mxQU5tVru3KmdhJ0xc757U90G5Ol617NYgCM/fKBL/ZUpys2keZKFogj58K61mPq1o3k6HK3QZCTh8AZCkxWULqE6Rdb4mILVbVmQnmXzupKzz+KfCy7Ng21e16VEJtk6yY4/TnC8hbyO+n5rbDXoZs57QOHBk7rGAeC8K474IMHYOTsY/PhXNGs/UO+QLkpIz6tJGNyMyMOFHFj0tt7hVCsz9hDeS45yNszAoCcujQGKHFXzTkMomDSQkCSFdc/UrsnO/jmvY1SgzU332Di6qoV0v4q4CCNeu5OxlJbqFkd5x9d9h0speHezfr/4l6q/m4z89uMF7x/97QsAWo1uWINCOTJTM/XXF3N2IYqi2LSu5NwkfHIVTHK0R6uSSbZODv78DkYFQkeM0jUOg9FIWktXmsYU6dou+9SGHwhKVVD6t9YtBlsY8vIPnPeA1E/mYC4t0TucKm2ddi/uhRD+zBMNZmjyxmzwU98S1dmVFuuTOPz7hzXOr/x1muSmgrbD77ZDdFVzGdoD//NwYOEsXeMok7hd7Z609Yg7dI6k8fBv05vEsH83GSncc4IsT2g1bJKO0TUuToFqLx9eOQqZRbYdXj0nKwOjRWAKjbBpPZcamWTrJHvHXrLdofO4J/QOBfeubfDOg+g/9GsycnL+t5gFdL/7Rd1isAXPZhEUXN+d0CSFP9+frHc4lTq++mta7srhTJ8mtL9KPhzmKAZ9+D+yPSH9ra/IS0+scr64PcsJi7dQ2DvEjtFVrs99b1DgDIm/L9Y7FADMJxPIaAKBneSIpdZk7NeW5ulwbMNsAApzMwiOLiGzraf8km5FZaM++uVAUl6STesqysi9oE7JOmSSrYPSwnyanS4ktbUrTi7ueodD65G3AxC97hdd6jebS/HZl0ZchJFmbfXvHcTahjz3A0mBAqeFO8lNT9A7nAtYzGZi3/2IfFcY+NpsvcORyvEJ7YDzozfQLAM2Pln1cOCHf/wIgE63PWav0Krk6R9GYkf3/7N33+FxVOfbx79ni7osq0vuvWJTbDqmmWJCDISQQhIgQDApJCS/9J6QlzTSICEhBAiEFAiEZjo2NjaY5opx77JsrSTLlrTq0u55/5BkjLGklbyzs1rdn+vyZe3szsydYMyjozPPQ/H6Bupd/rNuw2GyS1uoGZ7iao5EdOxV3yEMbOvYMrL6sdtIa4Hc009zN1iC8aSmYlP97VMfa0ocu09DawPJwfafZPtVZEeVimwXrH/qDtKbIPPU+OglOvzEuewfBK3v7nTl/mv/dxs5tZB61vGu3N9pXn8SOZ//FDlBWPKT+Pqx9dLf38CI3WFqLplK9ohj3I4jh5l59a1sO3UwY9+q5c37jjywKnl5KaVDPYw4cW6M0x1Z8aWXkNoCb9/zXVdzlKx6hpwgJE8e5WqORJQ78ST2DveQvqYCGw5T8cpi2jww7ePfcDtawvHlDGofSLPfueemAg2Bg4NofBpEE1Uqsl2w56VnaPPAsXHyF5IxhuoxaRTsanFlFHjp/Mdp9sGMa38a83vHynFX/oAdk5IYsriMvWtfdjsOAHVVu/E//Dp7Cw1nf+9Bt+NIF8793eOU50L4z/M5sGvt+97bvODvFFdaiKNnGY674rtUZUHzopWu5ti+8BEAhp3u7nMvicp78kSK98GGRfeRubGashFe0vLVlSjakgvyyQtaymp2OnaPQF1Z+yAaA768PMfuMxCpyHZB2vp9lI7wkD00fnqJph83hYwm2LwgtlsGWhpqKHg3yJ4JyWQWujOUJ1aO+d7P8IRh5c/i45urV77/abKDkHfT1fiSU92OI11Iyy6i8PtfJqMBXvvaVe972GzLo39vf5bhmvh5lsHrT6J2ZiHDdobYu2aBazmC726kyQ/jzo2vnx4liumf+TZhYNPdf6KoCjzHJfbf327xFw8lN2gpq3Nu+1XgwDZy6sAzKBXj9zt2n4FIRXaM7Vn+LAVVwLEj3Y7yPhMvbm/9VbIotkNpVj74EzIbIfv8M2N6XzeMOOkSSk/LZew7jax9queOEU7a9ebjDF9ayfZpqRz7sf7Rx3sgm/yhL1J6/lDGrm/mld+2/7saDoXIWlVJ6Sgv+RNOdjnh+0295qt4gHf+/ivXMqSV1FE5xItX30A6Im/SyZQN8zBpTTMAEy51t7NNovINHcmgeiivr3TsHmUH2gfRJOVmO3aPgUpFdoxtfKy9B/GESz7rbpDDFE87h8psCK3fHdP77ntxEXUpMPOqW2J6X7fMuuV+atOg7I6/udoycd3/+zFtXpjx09tdyyC9c94vn6B0qIeMf77J3ncWsPbJ35JbA8mzjnU72geMPOkySoZ7SH+j1JUtaNWBrRSVW8Jj82N+74HEc/IEAKoGw/BTLnM5TWLyDxmGxxrqq2scu0cgWEp+UA89OkFFdoy1rdxGeQ6MOe1jbkf5gODYTIpK2mhprI3J/eoqdjJsczPlUzNIyhgYE9kyi8dRf8k0hpeGefX2ea5keOOebzB6SysV54+kaMosVzJI7/lTM5hw68/whuGdb32V3U/8jxZv/D7LkHTeDPKqYeW/Y59v04v34rWQN+OkmN97IJne0WWkbnIOxhi34ySkzgcRbW0LrSFnZi20P/ho8RVpWme0qciOofryXQwpaSM4JTsu/0IaNONYUltg43Oxmfi3/O8/JrkVhs6NbKpdojjzuw8QyDd4Hl5GQ3Ugpvduqaum5d5nqMyGc3/6UEzvLUdv5CmXs/+jUxm5M8Tot2spHZ/EoOL4eejxUKd8/jcEU6Hi8adjfu/K5W8AMHFOfPamTxR5k04m5Vc3M+tWPTjtlM6pj9lBS0VjhSP3qKzfT3qjwTcsvraxJgIV2TG09r+/xheGwrNnux3liKZc8gUA9ix5Pib3a1iykgOZMP2jR25Nlqh8yalkzbuC3BpY/NPYPpT18o8/Qf4BSL7+wwPmpweJ5pwfPszOcT48FgafG799iVOzCqg4PpsRm1uo2Lgspvc2WyspzzNkDh0f0/sORGMv/TzpQ/TQo1N8HVMfc4JQVhf9gTTWWpqrGwBtF3GCiuwY2v/aG9Qnw3EfiY/uEofLHXsCgXyD2ej86mrllrcZsb2NA8fn4vUnOX6/eHPCVbewc7yfooWlBDYsjck9A+uWUPBSCTvG+zn5c7fF5J4SfR6vl5P/+CC7547mpM/92u043Zp87VfwhWHFXT+O2T1bWxop3BOiYWRGzO4p4hRfbi54DDl1lrLa6A+kqWmuIa2uvWORpj1GX9wX2caYs40xS40xdxljznY7T1+FW1vJ29xA2bhkktKz3I7TpfpxWRSVhmiu3efofVY9cCteC+M+NnCfSJ/yvR/jb4O3b/lqTO63/Cc34wvB1B/E5x5eiVzO6OO44LZn8adluh2lW2NnfZKSEV4yXy+lraU5JvfcuuRfpDdDxtRJMbmfiJOM14s3K53sIJQf2BL165fVt/fIBg2icYKjRbYx5j5jTIUx5t3Djs8xxmwyxmw1xvTUP8wCdUAKUOpUVqdteubPZDZA2knT3I7SrdyTTiS5Dd59+k/O3uj1LQTyDBPPv97Z+8Sxkad+lN2nZjNuVQNPXzadDS/81bF7rX7kl4xd28TuWfmMPLnrEd0i0ZZ6wUnk1sDyf/wgJvcrWfosAKNnXxGT+4k4zZ+fR2HQUlazK+rXDtSXkRNs/1pFdvQ5vZJ9PzDn0APGGC9wJ3ARMAW40hgzxRgzzRjz9GG/CoCl1tqLgG8D/XYJbtcLjxMyMO3jX3M7SremXPIlwgbKX1vs2D12vfUUw/eEaTpRTzKf+9sn2HVOIUO2t8LNf+DpS6ez7rk/R/Uebc2NVP3pHxzIgLNu/VdUry3Sk1Nu/C3BVKia/0JM7te8cQfBVBg68+KY3E/Eaf6i4vapj/V7o37tQPUOsuss+Lx4B+s5nWhztMi21i4B9h92+CRgq7V2u7W2BXgIuNRau9Za++HDflVYazvHmx0Akp3M66TkdRWUDvNQMPoEt6N0K2voRMoKDb5NzjW+X//vOwCYdtX/OXaP/iJlcAFz/rKYsU//j52ziyje2Yrna3/kmUum8e78O6Jyj8U/v4oh5Za2T55KRq7GHktsJWVms29mLiM3t7J33SLH75dV0sT+YUl4vF7H7yUSC76hI8gKQqDp8HLq6JUd2EZeEPw5g+Ky61l/58ae7KHAoRNPSjuOHZEx5nJjzF+BB4Eu9zAYY+YZY5YbY5ZXVjpXIPZF+dolFFVYQtOGuB0lIs3jcyjeG6auKvq7c8KhEKlv72H3MA/DTpjT8wkDRNaIKVx05yLGP/cku84bQuGuNrzf/AvPzJ3G2id/3+frHihZS9ZT6ygZ7uGMr/0tiolFIjf1+q/jtbD6rp85ep+yzcsoOADeCV3+J0Wk3/EVDyW5xbC/PvozLALBUgqDYXwFGtzkhLh/8NFa+5i19kZr7SestYu7+dzd1tqZ1tqZ+fnx9Ydl/aN/BGDMhz/lcpLI5J9yGr4wrHvyj1G/9qYX76awCjynTYz6tRPBoCETmPOnhUx8/il2XTiUwt1t+L59N89ePI01j/e+I8hrP/gcaU0w8hs3a2VPXDPylI9QMspL1ptltDbVO3afLS/+A4Di085x7B4isdZZAPuDbdS11EX12oHGcnKC4CvqH4uA/Y0bRfYe4NCfWQ/rOJawWpZvonIwTDzrarejRGTKpTfR5oF9b7wW9Wtv+9+DtHnghGt/FPVrJ5LM4vHMuX0Bk55/hl0XDSN/bxtJ372P5y46htWP/jKia2x88W+MfruWHSdmMulCd6ZLinTKmHMGObXw1v3fc+we1Wveoc0D48+/zrF7iMRaZ//qnKAlUB/dFruBpgNk1oN/6IioXlfauVFkvw2MN8aMNsYkAZ8EnnIhR0w0HSineGcrByZl9puVxIy8EZQN8ZC8Jbr7v9pamshZc4DSMX5yRh8X1WsnqoyiMcz5/UtMfuF5Sj40gtxAiOQfPMDzc45h1cP/r8vzwqEQu277Aw0pcPrP7o1hYpEjO2ner6lNg+pnXnbsHkk7qqko8pA8KNexe4jEmu9gkd3eci9aQuEQwYYG/K3m4GRJiS6nW/j9B3gdmGiMKTXGXG+tbQNuAl4ANgD/tdaui9L95hpj7q6pqYnG5aJi7X9vwx+CgjPPcjtKr7RNyKc4YKneszFq11zzyC/IDkL62TOids2BIqNgJBf+7gWmLniJkg+PIrsiRMqP/8XzF05lxX8+2HTn1T/MY8TuMDWXTCF7ZHy3jZSBwZ82iP0nFjBqaxu710S/00hDbQXFAUvr6OyoX1vETZ0FcE4dUR1IU9lYSVbH7hMNonGG091FrrTWFltr/dbaYdbaezuOP2utnWCtHWutvTWK95tvrZ2XlRU/w172LVlCYxIcd0X/Gh1edPrZeCysfyp67eTKnnmGJj/MuLbrFVjpXnruMC78zXMc89JCdl86hsH7wqT99CFeOH8qyx/8IeFQiLqq3fgeWsbeQsPZ3/un25FFDpo+7zt4LKy5++dRv/aGF+8hqQ0GH6efkkli8WakY1KSyA1aAge2Re26gfrAIYNo4utZtkQR9w8+9mfhUIjsjUH2jPGTOqh//QGeMvcmWnyw/623onK95mAVRevq2TsplfRcPfl/tNJzh3DBr55h+oJF7L5sHFn7w6Tf+igLLpzO4hsvITsIuV+6Cl9yqttRRQ4aOuMiSkb7yH6rgpbG6HZKCLz5CgAT5gzcKbKSuPx52RTVWgK10RtIE6gPkN2xku3XSrYjVGQ7aPuC+8mqh+SZ/W+8b8qgPAJDvaRti85/CJc/8EPSmyHvwnOjcj1pl5ZdxAW/nM+xL7/C7o9OIKM6zNh3m9g2LYXjPv5dt+OJfEDWxWeTE4Q37vt2VK8b3lxGVRbkjNd2NEk8vsJC8oOWsig++Bio3q5pjw5LqCI73vZkb3/mIcLAMVd82e0ofRKeVExxhWXf9hVHfa3qha9RmwYnfOrHUUgmh0vNKuCCW59kxstLqfrCWZx5xyNuRxI5opnX/YKadKh9dmnUrhkKtZFX2kpwRFrUrikST/zFwxlcB4Hm6DUkCNTsoCAYxpOegidVP/V0QkIV2fG2J9u7di+lQwxDJs1yO0qfDD3rQgDWP3XXUV2nZu9mhm1pYd8xg/CnZUYjmnQheVAeZ9x8F4OKx7kdReSIfGkZ1JxUxOjtIXYsj05jqZ1vP8HgekiZPDoq1xOJN77iIaTVQ3lrHeGDg7CPTiC4h+Jaiy8vJyrXkw9KqCI7nuzfsoIhZWFaphW5HaXPJs+5kcYkqFmx+qius/zvPyapDYZf9rEoJROR/uzYL/wQLKy9t/cDlo5kx+LHABgxa25UricSb3wFBXjChtQGS1VjVVSuWdZQQW7Q4i/sv3VKvFOR7ZB3//s7AEbOudzlJH3nT8ukfLiPzG1HN2GqZelaqrLgmEu/FqVkItKfFU0/l9KxfvLe3kdzffVRX6/+3c00JcHos66MQjqR+OMrbN8znRMkagNpAi3VDKo3+IqHReV68kEqsh3S8Na77M+Eqeff6HaUo+KZPJzC/VC2bnGfzi/fsJQRu0LUnlDQb4bxiIjzcuaeR3YdLLvnG0d9rfSSeiqH+PAkJUUhmUj8OXTqYzQG0jSHmjnQ1kRqvcFXVHzU15MjS6giO14efGwJHqBwewv7Jqbj9fldzXK0Rpzb/uPXjU/f16fzVz/wSzwWJlzZv7/ZEJHoOuHaW6nOgIYX3jiq61SVvktxJTBO3REkcR2c+hilgTTl9eUMagBj31sll+hLqCI7Xh58XPfob0lphZwzTnE1RzRMOO866lOgbnXfhnJ639zB3kLDuDM/FeVkItKfeZNTCZ4ylFHbQ2x949E+X2fTC3/HYyH/xNOjmE4kvvjy8sBAQW2YQPX2o75e+yCa9q/9at/nmIQqsuNF+eKFNPnhuI/1rymPR+JNSqZihJ/B2xvA2l6du+21/zK0zNJ24ihnwolIv3b8F34CBtbd9/s+X2PfyuWEgYlzro9aLpF4Y3w+vIMHMbTWEojCSnZZ/V5y6jqmPWoQjWNUZEeZtZZBG6opHeUjM3eE23Giwn/MaPJqoGTF0706b+O//0wYmH5NdIdOiEhiyJ96BqXj/BSs2E9j7b4+XcO7vYrKfENa4cgopxOJL/6CgvaBNA3lR32tQM0uDaKJARXZUbZrycNk14L/hMTpUzz6gvbWe1ue+2fE54RDITJXllM6wkvxtLOciiYi/Vz+pR9icD0s+1vvH4BsaaqjaG+IxpHqvy+Jz1c8tH0gTcvRd+QJ1OxkSG0YPAZfbm4U0smRJFSRHQ8PPm598gEAJl+eOA/6jZl1JbVp0PjO5ojPWff0HeQfAP8ZUx1MJiL93XFX30J1JjS99Havz9246H7SmmHQdP09I4nPV1xMer2hKtREc6j5qK5VFiyluDaMb3AWxueLUkI5XEIV2fHw4KNZU0JpkWHksXNcyxBtHq+XfaOSyd3RRDgUiuicXU88TKsXZlz3U4fTiUh/5klKov60EYzZGWbj0gd7de6e114EYOx5n3Qimkhc8RcU4G8y+Nss5fVHt2WkvLGSvDp1FnFaQhXZbqst2UDRnjCNUxLvRy8p08czuA62L3u4x8+2NtWT904NpWP9ZA2bFIN0ItKfnfDFnxEysPGBO3t1XsumEoJpUHj8+Q4lE4kfvoL2BxSzozCQJtBSS1YQfEVDohFNuqAiO4rWPnQbHmDYBYk32nfcnE8DsOPFR3r87Kr/3EJWPQyafZrTsUQkAeRMPIm945MpWllDfXVkgzastQze3cz+4ckYYxxOKOK+9/XKPoqBNMGWIHW2lbQGD74ijVR3korsKAq+vorqDJj2oS+7HSXqhp84lwOZ0PJuz/05K55/iYYkmHGNtoqISGQKP3opWQ3w2t2RPQC5e93LFFSDf+Jwh5OJxAf/wdHq9qgG0gTqA/jbLP4m9ch2morsKAk1NlCwrYny8an4k1LdjhN1Hq+X/WPSyN/ZQqi1pcvP1e8vY8iGRgJT0kgdrN6bIhKZaZ/+IfuzoHXh6og+v3XhfwAYepq2isjA0LmSPbQ2TKB6R5+vU1ZfRvbB9n3677STVGRHyfrHf09qC2SdOsPtKI7JOHYymY2w+eW/d/mZFQ/8kNQWKLzoohgmE5H+zuPz0XT6aMbsCrNu0b09fj645l1avTD2vM86H04kDngyMzHJfobVhgnUlfb5OoH6ANl17V+rR7azEqrIdrOF354da6jKhOM+/s2Y3ztWJnz4WgB2vfxUl58JLnqLmnQ47pPfj1UsEUkQM276OW0e2PTgX3v8bPKuWiqLPPgzBsUgmYj7jDH48vPJr7WUNVT0+TqB2hLygmFA3UWcllBFtpst/OZ8/78cs2gx2UUTYn7vWBkyfTb7BkN4/ZH3gh0oWcvwba1UTR+MLznxtsyIiLMGjzmOsokpDFsVpLaq6z2nwf27GRKwtI1JvE5OIt3xFxWTXQeBlhqstX26RqB6ByNq28/1a6S6oxKqyHbb4IzE/8NaOzaDwl1ttDbWfeC9Fff9FH8IRn/00y4kE5FEMPSKj5HZCK/9tesHINe/eA/+EOScMDOGyUTc5ysqJr3eQ4Nto7altk/XCNTtZUhtGJPkxzNIPwlykops6ZXME6aT1gIbX7z7A++1LdtAZTZMuugLLiQTkUQw5ZPfZv9gsIve7XKlrvKt1wCYMOfaWEYTcZ2voIDkegPW9rlXdqBpH3lBiy8/T+0vHaYiW3pl8iXt4+JLFz/3vuN71rzI8JIw9TOG4PF63YgmIgnAeL20zhrP6N2Wd1488nCa8NZyqgZD1uhpMU4n4i5/YQEmBBmNfRtIE7ZhAi21ZAfbV8XFWSqypVfyx59EeZ6Bje9vhP/OP36LB5jy6ZvcCSYiCWPGTb+kzQPb/n3/B95ra22hYE8bdSPSYh9MxGVHO5Bmf9N+WgmT1uDBX6hBNE5TkS29Vj92EMWlIZrr9h88lvT2bvYUG0ae+hEXk4lIIsgcOYWyyakMX1NPdfm297239Y2HyaqHtGMS9yFzka509rXOr+3bQJry+nKwluR6o/Z9MaAiW3ot+8SZJLfCuqfbf5S7edEDDKmwhE8Z53IyEUkUIz7xKTKa4LW7398Wddcr8wEYeba+oZeBp3Pq48jaMIGanb0+v6y+jLRmMG3vrYqLcxKqyHazT/ZAMuWSLxAGAq++DMDmh+8hbOC4z6o3tohEx8Qr/o+qbINZvBEbDh883rhhG41JMFw/NZMByJefD8CwmhCBuj29Pj9QHyDn4LTH/GhGkyNIqCLbzT7ZA8ngEVMJFBo8mysItbWStWofu0f6KJh4stvRRCRBGI+H8FkTGb3HsvK52w8ezyhpoGqoD4/f72I6EXeYpCS8g7MoCEJZ475en19Wu4vC2vZvWtUj23kJVWRL7DSNz2HInjAr/vlD8mog5azj3I4kIglmxk230eqFnQ/9E4DynSsprgQzXl0RZODyFRWRXWepaA0SCod6dW6gZhejajqmPWpPtuNUZEuf5J9yKv4Q1N37JC0+mHHtT92OJCIJJn3YOMonpzPynQb2la1n04t/xwMUnnym29FEXOMvLCKj3ksIS2VjZa/ODdSXMTSoIjtWVGRLn0y59MuEDBRXwp7xyWQWjXE7kogkoNGfuob0Znj9ru9yYNUqwgYmzPmc27FEXOMrLCS5ob18622v7EDjPgqCFk9mBp6UFCfiySFUZEufZOSPoGxI+x+f7PPPcjmNiCSqsR+5iaocg2/pFnw7DlCZb0jOVX9fGbh8BQV4GizekO1Vr+zWcCuVbXVkB8FfpH+HYkFFtvTdCaM5kAkzrtZWERFxhjEGzpnKqL2WESVhmkbrwXYZ2Hwdbfyy63q3kl3ZUIkFMhq8+DSIJiZUZEufnffr+Zz6+lqSMga7HUVEEtiML/+GVi/4wjB4ukapy8DW2RVkWE24VwNpOle9kxs82o8dIyqypc+MMRifz+0YIpLgUotGUnFMJgBjz7/K5TQi7uocIjOqJkRZza6IzwvUBzBhi6feHlwNF2epyBYRkbh32i8fwHzhEvKnz3I7ioirOlehh9VaynuxJztQH2BwPWDBr5XsmFCRLSIicS9t9GQm3fwrt2OIuM47eDAmyU9hMExZU1XE55UFdzOspr2vtkaqx0ZCFdkaqy4iIiKJzBiDr6CA7CBUhxppbGuM6Lzyml2M6RxEk6+V7FhIqCJbY9VFREQk0fkKi8hsaH8mKtIOI2X1ZQwN2o7zVWTHQo9PrRljCoDTgSFAI/AusNxaG3Y4m4iIiIgcxl9YQPI2L9BePI/OGt3jOYGmKgprw+D148vNdTqi0E2RbYw5B/gOkAOsAiqAFOAyYKwx5lHgt9ZszOsCAAAgAElEQVTa2lgEFREREZH27R6eegvWRrSS3dDaQE2oiZwg+HLzMF5vDFJKdyvZHwJusNZ+oAmjMcYHfBg4H/ifQ9lERERE5DC+wkJotaQ3RVZkBxraP5PZ6NNDjzHUZZFtrf1mN++1AU84kkhEREREutS5p3pshANpOgvxlAYvvonajx0rPT74aIwpNMbca4x5vuP1FGPM9c5HExEREZHDdU59HFMTiqjILq8vB8BTrx7ZsRRJd5H7gReA4o7Xm4GvOhVIRERERLrWOZBmaG2Y8gi2i5TVl5HUEoamML4CbReJlUiK7Dxr7X+BMBzcKhJyNJWIiIiIHFFnkV1UaylrPoC1ttvPB4KljO3ska092TETSZFdb4zJBSyAMeYUQNNeRERERFzgSUnBm5VFdh002zYONB/o9vOB2hLGdk57LMiPRUQhgj7ZwP8BT9Hetu81IB+4wtFUIiIiItIlX2EhmQ3VQPuDjTkpOV1+tqw+wPSOQTR+rWTHTI8r2dbalcBZwGnAjcBUa+07TgcTERERkSPzFRaS0ti+VlpWX9bl56y1lDfvp7i2Y7uIHnyMme6G0VzexVsTjDFYax9zKJOIiIiIdMNXkI93lQG6H61e01xDY7iVnCCY1BQ8mZmxijjgdbddZG4371lARbaIiIiIC/yFhYTr20gJebotsjsH0Qxq8OErKMAYE6uIA153w2iujWWQaDDGzAXmjhs3zu0oIiIiIo7xFRSChQk99MruLMBTm/z4h2g/dixF8uAjxpiLgalASucxa+0tToXqK2vtfGD+zJkzb3A7i4iIiIhTOqc+jq4OsSO4u8vPde7X9jZ4tB87xiKZ+HgX8Angy4ABPgaMdDiXiIiIiHShs0vIsNowgYaKLj8XqA/gC4exwZB6ZMdYJH2yT7PWXg0csNb+FDgVmOBsLBERERHpysGBNEFLZUsNreHWI34uENzDmLoQti2sHtkxFkmR3djxe4MxZgjQynsj1kVEREQkxrw5OeDzkRts70ZR0cVqdiBYwpiOQTTqkR1bkRTZTxtjBgO3ASuBncB/nAwlIiIiIl0zHg++gnwyG5OArtv4BerLGVGjHtlu6PHBR2vtzzq+/J8x5mkgxVqrseoiIiIiLvIXFJKyfx9gjziQJhQOUdFcTXHHtEftyY6tSB58/FLHSjbW2mbAY4z5ouPJRERERKRLvoICvA3tpdyRVrL3Ne6jjTC5nUW2VrJjKpLtIjdYa6s7X1hrDwBqkSciIiLiIl9hIeFgiKxw+IhFducgmqxGP97Bg/EkJcU64oAWSZHtNYeMBzLGeAH9UxIRERFxkb+wgHBzGyPr2yir/WCv7M4tJKlNydoq4oJIiuzngYeNMbONMbNpf+jxeWdjiYiIiEh3OgvnMdVtlNWVfuD98vpyAPyNPm0VcUEkEx+/DcwDvtDx+iXgHscSiYiIiEiPfAXtRfbwoGVhQ+UH3g/UB0gPW2ydPTghUmInku4iYeAu4C5jTA4wzFobcjyZiIiIiHSpc7hMUW2YYKiRupY6MpIyDr5fFixlSEsrbXVh/FrJjrlIuossNsYM6iiwVwB/M8b83vloIiIiItKVzuEyucH2R+cOf/gxECxldG0IrD246i2xE8me7CxrbS1wOfAPa+3JwGxnY4mIiIhIdzxpaXgyMxnUlAy8102kU6ChgpEaROOaSIpsnzGmGPg48LTDeUREREQkQr7CAlKbUgDeN5CmJdRCVWstxcHwwc9JbEVSZN8CvABstda+bYwZA2xxNpaIiIiI9MRfUIi30YvHQlnde0V2Z2eR/GDn51Rkx1okDz4+AjxyyOvtwEedDCUiIiIiPfMVFNC8PkxBKET5IXuyO7eODG7wg9eLNzfXrYgDViQt/EREREQkDvkKC2mrbWZIS+v7emV3bh1Ja07F5OdiPJFsXpBo0v/jIiIiIv2Ur7AAwpZRwRBlwb0Hj3d2GvE3JWk/tktUZIuIiIj0U51t/IbXhilv2kfYtj/oWFZfRk7YEm5o37ctsdfjdhFjzP8d4XANsMJauzr6kUREREQkEp2t+YprLa02xP6m/eSl5hGoK6OwtZW2Wg/peujRFZGsZM8EPg8M7fh1IzCH9qE033IwGwDGGI8x5lZjzB+NMdc4fT8RERGR/qJzyExuRxeRzg4jgWApwxvbCDe24ivUSrYbIimyhwEnWGu/bq39OjADKADOBD7b3YnGmPuMMRXGmHcPOz7HGLPJGLPVGPOdHu5/aUeGVqC0h8+KiIiIDBi+vFzweslqTgXe6yoSaCg/ZBBNvmv5BrJIuosUAM2HvG4FCq21jcaY5i7O6XQ/8CfgH50HjDFe4E7gfNqL5reNMU8BXuAXh51/HTARWGat/asx5lFgYQSZRURERBKe8Xrx5eXhb64FWimrK6OupY66UBNDa9uLbL9Wsl0RSZH9L+BNY8yTgAE+DPzbGJMOrO/uRGvtEmPMqMMOn0T7YJvtAMaYh4BLrbW/6Lj2+xhjSoGWjpehCPKKiIiIDBi+wkI89Y2k2lbK6ssOdhbJr7Pt72tPtit63C5irf0ZMA+oBg4An7fW3mKtrbfWfroP9xwK7D7kdWnHsa48BlxojPkjsKSrDxlj5hljlhtjlldWVvYhloiIiEj/4yvIp63eUtTWRnl94GCP7OyGpPb3tZLtikiH0bQCYcB2fB0z1toG4PoIPnc3cDfAzJkzrdO5REREROKBv6CQhtoWiltbKavbc3BfdnpLGi1pfjzp6S4nHJh6XMk2xtxM+5aRPNr3Z//TGPPlo7jnHmD4Ia+HdRwTERERkV7yFRYSbmhmaFOIsrq9BOoDeC34m1LwFxRgjHE74oAUyUr29cDJ1tp6AGPMr4DXgT/28Z5vA+ONMaNpL64/CXyqj9d6H2PMXGDuuHHjonE5ERERkbjXOdFxRG2IqpwaSmpLyA9bQk0e7cd2USQt/Azvf+Aw1HGs5xON+Q/tBflEY0ypMeZ6a20bcBPwArAB+K+1dl3vYh+ZtXa+tXZeVlZWNC4nIiIiEvf8hwykAVhTsZri1hbagiHtx3ZRJCvZf6e9u8jjHa8vA+6N5OLW2iu7OP4s8GxECUVERESkS52FdF7nQJqGAMe1ttFW06ge2S7qsci21v7OGLMYOKPj0LXW2lWOphIRERGRiHQW2VnNGQePDa8LYdtC6pHtoi6LbGNMziEvd3b8OvietXa/c7FEREREJBLejAw8aWmktho65wd2DqLpHLsusdfdSvYK2lv2de6/7myLZzq+HuNgrj7Rg48iIiIyEPkKC7HN1eSEm9nvgcKgBtG4rcsi21o7OpZBosFaOx+YP3PmzBvcziIiIiISK76CAtoqaihqa2V/kp+cxvZBNP5CFdlu6bK7yBHGoR/+vjHGDIt2IBERERHpHV9hAW21rRS3ts8MzGjNbD+erwcf3dLddpHbjDEe4Enat45UAinAOOAcYDbwY9rHoouIiIiIS/yFhdTWNDCipY1BqWF8Lel4czIwSUluRxuwutsu8jFjzBTg08B1QDHQQHtv62eBW621TTFJKSIiIiJd8hUUQluI68qDXFZfR1tTttr3uazbFn7W2vXA92OU5ajpwUcREREZiDqnPqY0GMYkt7GjzuIbo/3Ybopk4mO/oYmPIiIiMhB1Tn1sbfS3/17bfPCYuCOhimwRERGRgahzIE2bzcaGIVTboB7ZLotkrLqIiIiIxDFfXh4YQ1tbBm2NHrBWPbJd1uNKdkervs8YY37U8XqEMeYk56OJiIiISCSM3483L5e2lhTaGr3Ae/u0xR2RbBf5M3AqcGXH6yBwp2OJjoIxZq4x5u6amhq3o4iIiIjElD+/gNamJFrJa3+tlWxXRVJkn2yt/RLQBGCtPQDEZdNFPfgoIiIiA5WvsJC21jTajv/qwdfinkiK7FZjjBewAMaYfCDsaCoRERER6RVfYQFtFZW0VTeA3483O9vtSANaJEX2HcDjQIEx5lbgVeDnjqYSERERkV7xFxYSqq6mpXQ3vvw8jEdN5NzUY3cRa+2/jDEraB+jboDLrLUbHE8mIiIiIhHrbNnX9O46/Grf57oei2xjzCnAOmvtnR2vBxljTrbWvul4OhERERGJSGfLvtbdu0mZPNnlNBLJzxH+AtQd8rqu45iIiIiIxIlDW/bpoUf3RVJkG2ut7XxhrQ0Tp0Ns1MJPREREBir/IYW1ryDfxSQCkRXZ240xXzHG+Dt+3QxsdzpYX6iFn4iIiAxUnkGDMCkpwPsLbnFHJEX254HTgD1AKXAyMM/JUCIiIiLSO8aYg/uyNVLdfZF0F6kAPhmDLCIiIiJyFPwFBbSWlBzsNCLuiaS7SD5wAzDq0M9ba69zLpaIiIiI9FbnA49ayXZfJA8wPgksBRYAIWfjiIiIiEhfJU+aiH/NGrwZ6W5HGfAiKbLTrLXfdjyJiIiIiByV3OuuI+eqq9yOIUT24OPTxpgPOZ5ERERERI6K8XrxdHQYEXdFUmTfTHuh3WSMqTXGBI0xtU4H6wv1yRYRERGReNBjkW2tzbTWeqy1KdbaQR2vB8UiXG+pT7aIiIiIxIMei2zT7jPGmB92vB5ujDnJ+WgiIiIiIv1TJNtF/gycCnyq43UdcKdjiURERERE+rlIuoucbK09wRizCsBae8AYk+RwLhERERGRfiuSlexWY4wXsHBwOE3Y0VQiIiIiIv1YJEX2HcDjQIEx5lbgVeDnjqYSEREREenHetwuYq39lzFmBTAbMMBl1toNjicTEREREemnui2yO7aJrLPWTgI2xiaSiIiIiEj/1u12EWttCNhkjBkRozwiIiIiIv1eJN1FsoF1xpi3gPrOg9baSxxL1UfGmLnA3HHjxrkdRUREREQGsEiK7B86niJKrLXzgfkzZ868we0sIiIiIjJwRfLg4yvGmJHAeGvtAmNMGuB1PpqIiIiISP8UyVj1G4BHgb92HBoKPOFkKBERERGR/iySPtlfAk4HagGstVuAAidDiYiIiIj0Z5EU2c3W2pbOF8YYHx3TH0VERERE5IMiKbJfMcZ8D0g1xpwPPALMdzaWiIiIiEj/FUmR/R2gElgL3Ag8C/zAyVAiIiIiIv1Zl91FjDELrbWzgV9Ya78N/C12sURERERE+q/uWvgVG2NOAy4xxjwEmEPftNaudDSZiIiIiEg/1V2R/SPaB9EMA3532HsWONepUCIiIiIi/Vl3RXaZtfYiY8yPrLW3xCyRiIiIiEg/192Dj3d0/H5ZLIKIiIiIiCSK7layW40xdwNDjTF3HP6mtfYrzsUSEREREem/uiuyPwycB1wIrIhNHBERERGR/q/LIttauw94yBizwVq7JoaZ+swYMxeYO27cOLejiIiIiMgA1l2f7G9Za38NfM4Y84Ex6vG4XcRaOx+YP3PmzBvcziIiIiIiA1d320U2dPy+PBZBREREREQSRXfbReZ3/P5A7OKIiIiIiPR/3W0XmU/70JkjstZe4kgiEREREZF+rrvtIr/p+P1yoAj4Z8frK4FyJ0OJiIiIiPRn3W0XeQXAGPNba+3MQ96ab4zRPm0RERERkS50N/GxU7oxZkznC2PMaCDduUgiIiIiIv1bd9tFOn0NWGyM2Q4YYCQwz9FUIiIiIiL9WI9FtrX2eWPMeGBSx6GN1tpmZ2OJiIiIiPRfkaxk01FU94upjyIiIiIibotkT7aIiIiIiPSCimwRERERkSjrscg2xjxmjLnYGKOCXEREREQkApEUzn8GPgVsMcb80hgz0eFMIiIiIiL9Wo9FtrV2gbX208AJwE5ggTFmmTHmWmOM3+mAIiIiIiL9TURbQIwxucBngc8Bq4DbaS+6X3IsmYiIiIhIP9VjCz9jzOPAROBBYK61tqzjrYc1Xl1ERERE5IMi6ZN9h7V20ZHesNbOjHIeEREREZF+L5IiO9sYc/lhx2qAtdbaCgcyiYiIiIj0a5EU2dcDpwKdq9lnAyuA0caYW6y1DzqUTURERESkX4qkyPYDk6215QDGmELgH8DJwBLa92qLiIiIiEiHSIrsYZ0FdocKYLi1dr8xptWhXAcZY2YBn6Y96xRr7WlO31NERERE5GhE0sJvsTHmaWPMNcaYa4AnO46lA9XdnWiMuc8YU2GMefew43OMMZuMMVuNMd/p7hrW2qXW2s8DTwMPRJBXRERERMRVkaxkfwm4HDij4/U/gP9Zay1wTg/n3g/8qeMcAIwxXuBO4HygFHjbGPMU4AV+cdj51x3ycOWnaN8fLiIiIiIS17otsjsK4gXW2nOA//X24tbaJcaYUYcdPgnYaq3d3nGPh4BLrbW/AD7cRY4RQI21NthN1nnAPIARI0b0NqqIiIiISNR0u13EWhsCwsaYrCjecyiw+5DXpR3HunM98PfuPmCtvdtaO9NaOzM/P/8oI4qIiIiI9F0k20XqgLXGmJeA+s6D1tqvOJbqMNbaH8fqXiIiIiIiRyuSIvuxjl/RsgcYfsjrYR3HREREREQSQo9FtrX2AWNMKjDCWrspCvd8GxhvjBlNe3H9Sdofajxqxpi5wNxx48ZF43IiIiIiIn3SYwu/jsJ1NfB8x+vjOrqB9MgY8x/gdWCiMabUGHO9tbYNuAl4AdgA/Ndau66v/wMOZa2db62dl5UVzS3kIiIiIiK9E8l2kZ/Q3hFkMYC1drUxZkwkF7fWXtnF8WeBZyOLKCIiIiLSv0QyjKbVWltz2LGwE2FERERERBJBJCvZ64wxnwK8xpjxwFeAZc7GEhERERHpvyJZyf4yMBVoBv4D1AJfdTJUXxlj5hpj7q6pOXzhXUREREQkdkz7dPTEMnPmTLt8+XK3Y4iIiIhIgjPGrLDWzjz8eI/bRYwxE4BvAKMO/by19txoBhQRERERSRSR7Ml+BLgLuAcIORtHRERERKT/i6TIbrPW/sXxJFGgYTQiIiIiEg8iefBxvjHmi8aYYmNMTucvx5P1gYbRiIiIiEg8iGQl+5qO3795yDELRDSQRkRERERkoOmxyLbWjo5FEBERERGRRNHldhFjzLcO+fpjh733cydDiYiIiIj0Z93tyf7kIV9/97D35jiQRUREREQkIXRXZJsuvj7S67igiY8iIiIiEg+6K7JtF18f6XVcUHcREREREYkH3T34eKwxppb2VevUjq/peJ3ieDIRERERkX6qyyLbWuuNZRARERGReLd+by0TizLxeuJy56zEkUiG0YiIiIgMeG/t2M+H7ljKnYu2uh1F+gEV2SIiIiIR+MOCzQDcvWQ7VXXNLqeReKciW0RERKQHb26vYtm2Kj518ggaWtq4c9E2tyNJnEuoIlst/ERERMQJty/cQn5mMj/68BSumDGMf76xi9IDDW7HkjiWUEW2WviJiIhItL21Yz/LtlXx+bPGkuL38tXzJoCB37202e1oEscSqsgWERERibbbF24mLyOZT588AoAhg1P57GmjeHzVHjYFgi6nc86B+hYeWLaTL/9nFfvrW9yO0+901ydbREREZEB7a8d+XttaxQ8unkyK/73uxl84ayz/ebOE217YyD3XnOhiwuhqC4V5ZXMlj64oZcGGclpD7fMHZ47M5prTRrkbrp/RSraIiIhIF95bxR75vuPZ6Ul8/uyxLNhQwds797uULno2BYLc+sx6TvnFy1z/wHLe2rGfq08dxbNfmcWYvHQWbCh3O2K/o5VsERERkSN4e+d7q9ipSR+c0Xft6aO4f9lOfvXcRh75/KkY078G1Byob+GpNXt5dEUpa/fU4PMYZk8u4IoZwzl7Yj5+b/ta7OzJBTywbBd1zW1kJKt0jJT+nxIRERE5gtsXbCEvI+kDq9id0pJ83Dx7PD944l1e3ljB7MmFMU7Ye0faDjJ1yCB+PHcKlxw7hNyM5A+cM3tyIX9buoNXt1Qy55hiF1L3TyqyRURERA6zfOd+Xt26r8tV7E6fOHE49yzdzq+f38TZEwvidtz6pkCQR1fs5vFVe9lX10xuehJXnzqKj54wjClDBnV77oyR2QxK8bFgQ4WK7F5IqCLbGDMXmDtu3Di3o4iIiEg/dvvC7lexO/m9Hr5+wUS+/J9VPLl6D5efMCxGCXsW6XaQnvi9Hs6eWMCijRWEwjZuv5GINwlVZFtr5wPzZ86ceYPbWURERKR/Wr5zP0u37OP7H+p+FbvTxdOK+euSbfz2xc1cPL2YZF/P5zglFLYs3lTxvu0gU4oH8aMPT+HS4468HSQSsycX8NSavazeXc2MkdlRTp2YEqrIFhERETlaB1exTxkR0ec9HsO3LpzE1fe9xb/eKOG6M0Y7nPDIrLV85aFVPPNOGTnpSVx1yig+OmMoU4cc/ZC+sye0b4V5eWO5iuwIqYWfiIiISIcVu9pXsW88cyxpSZGvRc4an8dpY3P506Kt1DW3OZiwa398eSvPvFPG186bwBvfnc2P5k6JSoENkJXmZ+bIbBZuqIjK9QYCFdkiIiIiHf6wYAu56ZGvYncyxvDtOZPYX9/C35Zsdyhd115YF+B3L23m8uOH8pXZ40jyRb/EO29yIRsDQUoPNET92olIRbaIiIgIh6xinzWmV6vYnY4dPpiLjininqXb2VfX7EDCI9sUCPJ/D6/m2OGD+fnl0xzr1z17cgGAVrMjpCJbREREhPdWsT9zSvcdRbrzjQsn0tQW5k8vb41isq4dqG/hc/94m/RkH3dfNeN9o9+jbUx+BmPy0lm4UUV2JFRki4iIyIC3YteBo1rF7jQ2P4OPzxzGv97cxe79zm6raA2F+dK/V1Je28xfr5pB4aAUR+8HcO6kAt7YVuXavvP+REW2iIiIDHi3Lzz6VexON8+egMcYfvfS5igk69qtz2xg2bYqfvGRaRw/IjYdP2ZPLqQlFObVLZUxuV9/piJbREREBrQVuw6wZHMl8848ulXsTkVZKXz29FE8sXoPG8pqo5Dwgx5+u4T7l+3kc2eM5qMzYjcAZ+ao96Y/SvcSqsg2xsw1xtxdU1PjdhQRERHpJ25fuKW9r/SpR7+K3emLZ40jM9nHbS9sito1Oy3fuZ8fPPEus8bn8Z2LJkX9+t05dPpjOGxjeu/+JqGKbGvtfGvtvKys6PSE7I2d++r5xXMbOFDfEvN7i4iISN+sLInuKnanrDQ/Xzh7HC9vrOCtHfujdt091Y18/p8rGJadxp+uPAFfhKPRo2n25AKq6ltYXVod83v3JwlVZLvp1a37uHvJds789SL+sGAzwaZWtyOJiIhID25f0LGKHYW92If77GmjKByUzC+f24C1R7/q29gSYt4/ltPUGuZvV88gK80fhZS91zn9ceGGclfu31+oyI6Sz5wykudvPpPTx+XxhwVbmPXrRdz1yjYaW0JuRxMREZEjWFVygFc6VrHTk6O3it0pNcnLzbMnsLKk+qj3MFtr+eaja1hfVssdVx7HuILMKKXsPU1/jIyK7CiaWJTJXVfNYP5NZ3DssMH88rmNnHnbIh5YtpPmNhXbIiIi8eTgXmwHVrE7fXzmMMbkpXPbCxsJHcUe5j8v3sbT75TxzQsncu6kwigm7BtNf+yZimwHTBuWxQPXncQjnz+VMXnp/PipdZz7m1d4+O0S2kJht+OJiIgMeKtKDrB4UyU3zHJmFbuTz+vh6xdMZHN5HY+tLO3TNRasL+c3L27ikmOH8IWzxkY5Yd+c2zH98WUNpumSimwHnTgqh4fmncKD159EXkYS3/7fWs7//RKeXL1HT+SKiIi46PaFW8hO83N1FDuKdOVD04qYPiyLPyzYQlNr736yvaU8yFcfXs0xQ7L49RXTHRuZ3ltj8zMYnZceF6385q/Zy7/e3BV3tZWKbIcZY5g1Pp8nvnQ6d181g2Sfh5sfWs1Fty/lhXWBqDwIISIiIpFbvbuaxZsqmXfmWEdXsTsZY/j2nEnsqW7kn2/sivi8moZWbvjHclL8Xu6+2tmR6X0xOw6mP4bClt+8uIlHV5Ti8cTHNyCdVGTHiDGGC6YW8exXZnHHlcfTGgpz44MruOzO11iyuVLFtoiISIzcvmBzzFaxO50+Lo9Z4/O4c9FWaiPoQNYWCnPTf1ayt7qJv151AsVZqTFI2TvvTX/c51qGl9aXs6uqgRtmjXEtQ1dUZMeYx2O45NghvPi1M/n1FdPZV9fC1fe9xSf++kZU+2iKiIjIB63eXc2iTZXc4FBHke5868JJHGho5Z4l23v87C+e28jSLfv4f5cdw4yROTFI13szR2WTmeJztZXfva9uZ1h2KhdMcf9h0MOpyHaJz+vh4zOH8/I3zuKWS6eyo6qej//1da6+7y3eUXN3ERERR7y3ij0q5veeNiyLi6cXc8+rO6gMNnf5uUdXlHLvqzv47Gmj+PiJw2OYsHcOTn/c5M70x9W7q3l75wGuPX20K0N5ehJ/iQaYZJ+Xq08dxZJvnsP3PjSJtaXVXPKn17jxweVsCgTdjiciIpIw1nSsYn9u1hgyYryK3ekbF0ykuS3MH1/ecsT3V5Yc4HuPreX0cbn84OLJMU7Xe+dNLmBfnTvTH+99dQeZyT4+EaffiKjIjhOpSV7mnTmWJd86h6+dN4FlW6uYc/sSfvDE2oj2bomIiEj3bl+4hcFpfq45bZRrGUbnpfOJE4fz7zdLKKl6f4/pQE0TNz64gqKsFNdGpvfWWRPy8XoML8e4y8ie6kaeXVvGlSePcO0bpp7E/z+9ASYzxc/N541n6bfP4drTRvPvN0s477ev8NzaMj0cKSIi0kdrdlfz8sYKbnBxFbvTzbPH4/MafvvSpoPHmlpDzHtwOQ3NbdxzzUyy05NcTBi5wWlJzBiZzYIY78u+/7UdAK5+w9QTFdlxanBaEj+aO4Unv3QG+ZnJfOFfK7nhHyvYW93odjQREZF+Jx5WsTsVDkrhutNH8+TqvazbW4O1lu/87x3eKa3h9584jgmF7o1M74vzJhfEdPpjsKmVh97azYemFTN0cPx1XemUUEW2MUIXmckAACAASURBVGauMebumpoat6NEzbRhWTz5pdP5/ocm89rWfZz/u1e4/7UdRzWaVUS698CynbyxvcrtGCISJe+Uxs8qdqcbzxpLVqqf217YxN1LtvPE6r18/fwJXDC1yO1ovTZ7cntnj0Uxmv743+WlBJvbuGHW6Jjcr68Sqsi21s631s7LyspyO0pU+bwebjhzDC9+7UxmjMrhJ/PXc/lflrGhrNbtaCIJpzLYzE/mr+Omf6+kpkHPQ4gkgtsXtK9ix7Ivdk+yUv188eyxLN5UyS+f38jF04q56dxxbsfqk1hOf2wLhbnv1R2cNCqH6cMGO36/o5FQRXaiG56TxgPXnsjtnzyO0v0NzP3jq/zq+Y29HtEqIl17cX0Aa6GqvoWfP7vB7Tgx8+TqPVQEm9yOIQPcYytL+dK/V3LL/PX89ZVtPLFqD69vq2J7ZR31fZwq+E5pNQs7VrEzU/xRTnx0rjltFMOyU5lcNIjbPhY/I9P7YvakAl7fVtXnf06RemFdOXuqG7k+zlexAeLjZyYSMWMMlx43lLMm5PPzZzfwl8XbeHZtGbdeNo0zxue5HU+k33v+3QCj89I5f0ohdy/ZzmXHD+XUsblux3JUSVUDNz+0mhtmjeb7F09xO44MUM1tIX729HrawpZQ2NLQ8sEFpMxkHwWDkikclELRoBQKBqVQ2PG6sOPrgswUknzvrSHesXALWanxtYrdKcXv5ZmvzCLV731f5v7o3MkF3PPqDpZu2cecY5zb8nLPq9sZmZvGeZPjb/jM4VRk91OD05L49RXHctnxQ/n+4+/ymXvf5PLjh/L9iyeTm5HsdjyRfqm6oYXXt1Vxw5lj+Mq543nu3TK+//hanr15Fil+r9vxHLNsW/tI5Ld2HnA5iQxkCzdUcKChlfuvPZGzJxZQ19xGoKaJitomyoNNlNc2t7/u+PrNHfupCDbRGvrgM0q56UkUDEohLyOJpVv28Y0LJsTdKnanrNT4zNVbJ47KITPFx8sbyx0rslfs2s+qkmpuuXQqXk/8r/qryO7nThubx3M3z+LPi7byl1e2sWhTBT+4eAqXnzC0X//YScQNCzZU0Ba2zJlaRGqSl59/ZBpX3fsWf3p5K9+4cKLb8RzzesdDnuv21NDQ0kZakv7TILH38Nu7Kc5KYdb4fAAykn2MK8hgXEFGl+dYaznQ0Ep5bROB2o6CvLaZ8tqmjl/NHD9icFx0FEl0ndMfX95YSThs8ThQBN+zdAdZqX6umDEs6td2gv4mTQApfi//d8FEPnzsEL772Fq+/sgaHltVyq2XTWNUXrrb8UT6jeffLWPo4FSmD2t/eHrW+HwuP34od72yjbnHDmFiUf9qqxUJay3LtlVRkJlMRbCZVSXVnD5OW88ktvZWN7JkSyU3nTOuVyuUxhhy0pPISU9icvEgBxNKJM6bXMD8NXtZU1rN8SOyo3rtkqoGXlgX4MazxvabhYD+vQFI3mdCYSaP3Hgq/++yY3hndw0X/mEJdy7aSmso7HY0kbhX19zGki37uHBq0ft+CvT9iyeTmeLjO4+9k5CtM7dV1lMZbGbemWMwBt7asd/tSDIAPbayFGvhYzPiczy2RKZz+uNCB7qM/H3ZDrwew2f70U8lVGQnGI/H8JlTRrLg62dx7qQCbnthE3P/+CorS7TXUuT/s3ffYVGd2QPHv5depIMo0lUQAekIFixEo7GkaeyJbqLRNH+bXTcmm8TNrilm01c3JjGJKfbERJPYEjWiAgKiKIIYEQSkSJUmde7vD4RVRKUMU/D9PA+PCnfuHC8wc+ad855zOwfOXqauQcFE3xtrCW16GfLK5MGcyCrj29iLaoqu+8Rcq8ceP7gPXn3MRZItqJxCIbM1IYdwdxucbUzUHY7QBc3TH/cruV/2lav1bI3PZsoQB+zNjZR67u4kkuweyt7ciI/nBvHpvCDKqut5+ONoVuxIprSqTt2hCYJG2pucj20vQwLbeIvzwYB+jBxoy9t7zva4qavR6cX0szTGydqYUDdrTmSXUtcg3v0SVOdYRglZJdU8EqIddbbC7d3j1ZvUvHIuKfGxcnNcFlV1jfxphOa37bueSLJ7uPHeffj1+QgeC3fl69iLBK78lQkfRPHqjmR2JuWSf0X0xRWEmvpGDqZd5l5v+zbrQSVJ4vUHfGmUZV7dcQZZ7hllIwqFTOyFYsL72yBJEqFu1tTUK0jO7TlTcwXNtzUhGzMjPSb69FV3KIISNE9/PJBaoJTz1TcqWB+dSbi7DT79tGvYoHZUjgtdYmakzz+mevNIsBO/pRYQn1nC98dz+Dqm6a1vJ2tjQlytWz7625mKziTCXeXQuUKq6xpv+yTvbGPCn+/x4M3dZ9mTnM9EX+1PCM7mV1BaXc+wa33AQ1ytAYjPKGlzRV8QlK28pp5dp/OYFuTYo9tk3k3cbU1xtTHht9TLzAt37fL5dp3OI+9KDa8/6NP14FRMJNl3kcEO5gx2aNp93dCoIDWvgrjMEuIzSjiUVsj2xEsAWJsaEOxiRahbU9Lt7WCOnq5400PoufYk52Npos9Qd+vbHvf4CDd2nMzl1Z1nGDbAVuv72zb3x24etmNnZoibrSlxGSU8Oaq/OkMT7hI/JeVS26DgkWCx4bGnkCSJSC97vom5SFVtA6aGnU81ZVlm3eEM3O1MGe3RW4lRqoZIsu9Sero6+Dpa4OtoweMj3JBlmYyiKuIzS4jLKCXhYgn7Upre6jEx0CXA2ZIQV2tCXa3xd7bUmvY5gnAndQ0KfkstYIJ3H/Tv8GJST1eHVQ8P4f41R3hr91nefMhXRVF2j9gLxbjZmtLXwrjlc6Gu1uw5k99tfW4F4Xpb47MZ1MespW2m0DNEevXm8yMZHDnf1LGps+IySjh96QqvP+ijlY9HIlMSgKZXnu52vXC368WMEGcACspriM8sISGzlLiMEj7c/weyDHo6Et79LAh1tWKCTx+CXG6/+icImiw6vYiKmoZ2TyjzdbTgT8PdWHckgwcD+hHqpp0//w2NCo5dKGGKv8MNnw9xs2ZLQjbnLlcwqI/oOyx0n7P55STlXOGVyYNFiWIP0zz9cX9qQZeS7HVHMrAy0eehAO3cFCuSbOGW7M2NmDzEgclDmp6Ey2vqOX6xlITMEuIzSvkq5iJfHM1k99KReNj3vCEdwt1hT3I+vQz1GDGw/QNYnh/vwe7kfF7cfopdS0diqKd9taTJueVU1DYQ7m5zw+dDr6vLFkm20J22xuegryvxYEA/dYciKJm+rg6jPOy6NP0xo6iK31ILeHbMAIwNtO8xFkR3EaEDzI30GePZm2X3DmLr4nBilo+ll6Eer/3Uc7otCHeXhkYF+1IKGDuod4cSZRMDPV5/0If0wirWHEzvxgi7T0x60yj1sFZJtpO1MfbmhhwT/bKFblTXoOCHEzmMG2yPtamBusMRusE9XvYUVdZy6lLnuhV9cSQDfR0d5oa7KDky1RFJttBpNr0M+ct4D46eL2bvmXx1hyMIHRaXWUJJVR0T21kqcr3Rnr2539+Bj38/zx8FFd0QXfeKTi/C094MOzPDGz7f1MrPhvjMEvHiWeg2+1MLKK2uZ7rY8NhjjfZsnv7Y8VZ+ZdV1bDuezf3+DvQ2057hM62JJFvoktmhzgzqY8a/fk6lpr5R3eEIQofsSc7HSF+HUZ52nbr9K5MHY2qox/Ltp1Fo0cj1ugYFCZmlLV1FWgt1taKgvJbskp41eEfQHFsSsuljbkTEwM797gmar3n642+dGLG+4VgWNfUKnhjp3g2RqY5IsoUu0dPVYcUUby6VXeWTQxfUHY4gtJtCIbP3TD6jPOw63S3Htpchf7/Pi+MXS9kYl6XkCLtPUk4ZV+sbb5lkh1zbzBmXKUpGOiL/Sg2VtQ3qDkPj5V25StS5QqYFObY5/EnoOSIHdXz6Y12Dgq+iMxk50BbPPtq930sk2UKXhfe3YdKQvvz39/PklFarOxxBaJcT2WUUlNd2ecrctCBHhg+wYdXus1ozQTX6fDGSBGFubSfZHr3NsDDWJy6jWMWRaafL5TX8/YfTDF91gMh3f+fQuUJ1h6TRvj+eg0KG6cHa2TFCaL+W6Y9n27+a/VNSLpcrarV+FRu0IMmWJMlZkqQfJUn6QpKk5eqOR2jbS/d5IUnw5q6z6g5FENplT3Ie+roSY726NuCgeeR6XaOCFTuTlRRd94pOL8LbwRwLk7aH6ejoSIS4WhGfWariyLRLeU097+xNY9S/f2dLfDaPBDthbqTPY1/E8dIPp6kSq9o3UShktibkEOZujYuNqbrDEbpZf7um6Y/trcuWZZl1RzLwsO9FRAc6Pmmqbk2yryXGlyVJSm71+QmSJKVJknS+HYmzL/CdLMt/AgK6LVihS/pZGvPU6AH8cjqvZYqcIGgqWZbZnZzPiAG2mBt1fWqjq60pS+8ZyN4zBexJ1uxNwDX1jZzIKmNY/9s/gYW4WpNRVMXlCu1YnVelmvpG1h2+wKi3D7L64HnuGWzPb8+P4s2HfPnp2REsinBnU1wWEz6M4tgF8W7A9Y5llJBVUs2MELHh8W7QPP0xOr2Y6ro7v+iMSS8mNa+cJ0a494je6d29kr0emHD9JyRJ0gXWABOBwcAsSZIGS5LkK0nSz60+egOxwOOSJB0A9nRzvEIXLIpwx9HKmNd2ptDQqFB3OIJwS2dyy8kpvdruATTtsXCkO159zVmxM5nymnqlnVfZjl8spa5RcVN/7Naa67LjM8RqdrNGhcx3x3OIfPcQK39JxaefBT8/O4L/zArA1bZpVdZIX5eX7vNi65PhSEjM/CyWlT+niI3h12xLyMbMUI8J3l0r0xK0R+Sg3tQ1KDj8x50X4D47fAHbXgZMbTUkS1t1a5Ity3IU0HrnTChwXpblC7Is1wGbgftlWT4ty/LkVh+XgQXAClmWxwKTujNeoWuM9HV5edJg0goq2HBMezaBCXefPcn56OpIjBusvCRbX1eHtx7y5XJFLW/v0dyyqZj0YnR1pJYk+lZ8HCww1tclXmx+RJZl9qcWcN+Hh/nrtiSsTQ3Y8MRQvnl8KD792h4HHuJqze6lI5kz1Jl1RzKY/J8jnMopU3HkmqW8pp5dyXlM8XfQ2uEiQseFuDVNfzxwhy4j5y9XcDCtkHlhrhjp94yfD3XUZPcDsq/7d861z93KHuA5SZLWApm3OkiSpEWSJCVIkpRQWCg2najLvd72jBhgy7v70iipqlN3OILQpt3JeQx1s1b6EAw/J0vmD3Pl29gsEjQ0OY1OL8LP0YJehrfvqGKgp0OAsyVxd/lQmuMXS3jkkxge/yqB2oZGVs8OYMfTwxk+4M71oqaGeqx8wJev/xRKZU0DD/43mvd+PUf9XfpO309JudTUK5ghemPfVZqnP+4/e/m2rU4/P5KJoZ4Oc8OcVRhd99L4jY+yLCfLsjxNluXFsiz/9TbHfSrLcrAsy8F2dqLvprpIksSKKYOpqmvknX1p6g5H0DAKhczqA3/w6Bdxanv7/I+CCtILqzo1gKY9/jrek36Wxry4/TS1DZpVIlBZ20BSzpVbtu5rLcTVmtT8co0uf+kufxRUsPDrBB7+OIaMomr+9YAPvz4/islDHDo8IjrCw469f47gfj8HPtr/Bw+sOUpavvYNMOqqrQk5eNqbMcSx7dV/oee60/TH4spatifm8FCgIza9DNs8RhupI8m+BFz/Mtbx2ueEHmKgvRmPhbuyKS6L5E6OUxV6nqraBp7emMg7+84Rda6Q9dGZaolj97WNieO9uyfJblq99OGPy5Ws/V2zesfHZ5bQqJDvuOmxWaibNbIMx++iLiO5ZVf523dJ3PtBFDHpxfxlnAeHlo1mXpgL+rqdf8q0MNbnvRn+rJ0bRP6VGqb85whrD6XTqEVDjLoiLb+CpOwyHglx6hEb2oSOGeVhh47ELbuMfBubRW2DgsdHuKo2sG6mjiQ7HhgoSZKbJEkGwExgpxriELrR0nsGYm1iwIqdZ8RoZoHskmoe/jiavWfyeXmSF2M87Vhz8Dylaigp2pOcT5CLFfbm3Teqd8yg3kwe0pc1B89z/nJlt91PR8WkF2Ogq0OQi1W7jg9wtkRPR7orhtKUVdfx5q5URr/zOz+eyGX+MDei/jaGZyMHYnqH0pqOmODTh31/jmDsoN68tfssj3wSQ2ZRldLOr6m2JmSjryvxQA/Z0CZ0jJWpAcEu1uxvoy67pr6Rb2IzGeNpx4De2j18prXubuG3CYgBPCVJypEk6XFZlhuAZ4C9QCqwVZblM0q6vymSJH165YpYPVU3C2N9/jbBk+MXS9lxMlfd4QhqFJ1exNTVR8gtu8qXC0J5YqQ7yyd6UVXbwOqD51UaS1ZxNSl55d1WKnK9FVO8MTbQ5SUNGrkenV5EgLNluzcVmRjo4dPPgvgeXJd9ta6Rj39PJ+Ltg3x6+AKTh/Rl/19G8eqUwUqv2W9m08uQj+cG8sEMf/4oqGDih4f5JiZTY35OlK2uQcEPJy5xj5d9jyoFEDom0qs3KXnl5Laa/rjzZC5FlXUs7AHDZ1rr7u4is2RZ7ivLsr4sy46yLH9+7fO7ZFn2kGW5vyzLryvx/n6SZXmRhYWo99IE04OcGOJowRu7UsWo4buQLMt8HZPJvM/jsOllyI5nRjDKo2m/hGcfM6YHOfF1TCZZxaqbEro7OQ+Ae7upVOR6dmZNI9fjMkvYkpB95xt0syvV9ZzJLW93qUizUDdrTuVc6XEt6Ioqa/k29iKj3znIqj1nCXa1ZtdzI3nvEX+crE26/f4lSeKBgH7s/XMEIW7WvLLjDI9+EXdTAtIT7E8toKSqjkdEb+y7WvP0x/3XTX9sGj5zAa++5u3eK6JNNH7jo6C9dHQkVkzx5nJFLWtUvGLZXRIyS9iemCNeNNxBXYOCl344zas7zjDaw44fnhqGm+2N092eH++Bro7Ev1W4QXZ3cj6+/SxUkkRB09joMHdr3tiVyuVy9Q51ic0oRpZh2ICOPZGFulpT16jgZLZ2t58rq65jT3I+/9h5hnvfjyJ45W+8/GMyDpbGbFkUxhfzQ/Dqa67yuPpaGPPVghDeeNCXxKxS7n0/iu+O5/SoMrutCdn0MTciYqBoSnA3629nikur6Y9RfxRxrqCSJ0a49chafeUVmglCG4JcrHgosB+fH87gkWCnmxItbVFZ28Cbu1Jb+n+bGCQzeUhfZoQ4E+hs2SMfHDqrsKKWJd8eJ+FiKU+N7s9fxnui20Y3BntzIxaOdOc/B87zxAg3/JwsuzWuvCtXOZldxrJ7Pbv1fq4nSRJvPjSEez+I4p8/p7B6dqDK7ru1mPRijPV18XPs2HUOdm2q347PKCHsDgNsNEllbQPxGSVEpxcRnV5MSl45sgxG+jqEuFpzf4ADw/rb4udoofbfX0mSmD3UmREDbPnrtiT+ui2JvWfyeeNBX+zMtLu8Iv9KDYfOFfLU6AFtPg4Idw9JkogcZM+3xy5SXdeAiYEe6w5foLeZIVP8ematfo9KsiVJmgJMGTBggLpDEa6zfMIg9ibns/LnFD6fH6LucDrs6Pki/vbdKXKvXGXhSDfGe/fhu4QcfjqVy9aEHDzsezEjxJkHA/p1Ww2ntki+dIVFXydQUl3Hf2YF3PGBc1GEOxuPZfHGrlQ2Lwrr1mRn77WuIsqc8tgebramLBrpzprfz/O34mqcbVSzit5aTHoxwa5WGOh17A1MSxMDPO3NNH7z49W6RhIulhCTXkzMhWJO5VyhUSFjoKtDoIsl/xfpwbABNvg5Wnb4GqiKs40JmxaF8eXRDN7em8b49w+xeFR/jA10aWiUaVTINChkGhWKa3/+76Oh5U9F05+NbX/e1FCPFyd60cei+zb+Xu/7xBwUMkwLclTJ/Qma7R6v3nxxNIMjfxThYmPK4T+KWHavp8b+TnZVj0qyZVn+CfgpODh4obpjEf6nt7kRz0UO5M3dZzl49jJjBvVWd0jtcv3qtbutKd8tDifIpWlKXoirNa9MGczPSblsjs/mXz+nsGr3WcZ72zMzxJlh/W063EtX2+1MyuVv3yVhbWLAd4uH3XIS3vXMjPT5v3sG8sqOMxw4e7mlZq877E7Ox8O+F/3tenXbfdzK3DAXPj6Uzoa4i7w40Uvl919YUUtaQQUPBNxu7tethbhZ8UPiJRoaFeh1oY2dMtU2NHIiq6wpqU4v5kR2KfWNMno6En5OliwZ1Z9h/W0IdLHSqulxujoST4x0Z7SnHc9vTeLN3beeHqojgZ6ODjo6TX/q6kjo6Uj/+1NXQldq/nfT1zOKqkjJLWfrk+FYdfOigCzLbE3IZqibdcvYeeHuFuJmjZmhHvtTLyMjY6yvy5yhPWf4TGs9KskWNNeC4W5sic/mnz+nMHyArca/am29ev2X8Z43PVH3MtRjZqgzM0OdOZtfzpb4bLYnXuLnU3k4WRszI9iJaUFOKlsxUpdGhcw7+9L4+Pd0Qlyt+O+coA69xT0z1Jkvj2by5u6zjPKw65YkrqiylvjMEp4ZO1Dp526PPhZGjPOyZ1tCDs+P88BQT7VJX+yFYoBObywKdbPh29gsUvLKGdLBchNlkWWZE9lNSXV0ehEJmaXUNijQkcCnnwV/Gu5GeH8bQlytldpyT10G9Dbjx6eGU1RV25QgS01Jc3MSrStJnXohH51exPwv45n/ZRwbFobdcfJnVxzLKOFicTVLI9XzeydoHn1dHSI87diXkk9VbSMzQpywNOm57wBrdqYj9BgGejq8MmUwGUVVfHk0Q93h3FJlbQMv/XCaOeuOYainw3eLw/n7pMF3XAkb1MecFVO8OfZSJB/O9MfJyoR39p1j2Fv7eXx9PL+mFNDQA0cpl9fUs/DrBD7+PZ1Zoc5seCKswzWk+ro6/G3CIM5frmTb8ZxuiXPfmQIUMkxQQVeRW5kb5kJJVR27T+er/L5jLhRjZqiHj0PnNvaFuja9g6POEetfHs3kof9G8++9aRRX1jF7qDOfPRrMiVfHs/OZEbx4nxejPXv3iAS7mY6ORG8zI6xNDbAw0aeXoR5G+rro6+p0+p2yYf1tWTM7kOTcchZ9ndCtXWO2JmRjZqjHRJ++3XYfgva5x6s3pdX11CsU/GmEm7rD6VY959FI0HhjPHsTOag3H+3/gwcD+tG7G4eBdMaRP4p44fvbr17fiZG+Lvf79+N+/35cLK5ia0I22xJy2P91Ar3NDJkW5MiMECdcbLT/rdOMoiqe+Cqei8VNI6fnhbl0+lz3etsT7GLFe7+eY6qfg9ITpd3JebjYmODVV32DDob1t8HN1pRvYy92umyjs2LSixnqbt3pdwn6WBjhZG1MfGYJT6ihl61CIfNldAZBLlZ8Oi9I9FruonGD7fn3tCE8vzWJ5zad4L9zApX+DlJ5TT27TufxUKAjxgbaU64jdL/RHr3R1ZEY49lba5shtFePWskWw2g03yuTB1PfKPPWnlvXGapa8+r13M87tnp9Jy42piy7dxDRy8fy2aPBDHG0YO2hdEb9+3dmfRrLjpOXtLb38KFzhdy/+gil1fV8+8TQLiXY0LTr/MX7vCisqGXdYeW+03Glup6Y9GIm+PRRaxcJHR2JOUOdSbhYSmpeucruN+/KVTKKqrrcGSTE1Zr4zFK1tJaLTi8mu+Qqj4a7iARbSR4KdOQfUwazL6WAF75X/sCkn5PyqKlX8Eiw6I0t3MjK1ICvFoTy+oM+6g6l2/WoJFsMo9F8rramPD7Sje2Jlzh+sVTd4XDkjyLufT+KTXFZLIpwZ9fSkS2bG5VFT1eHcYPtWfdYCNHLI/nreA9yyqpZuvkkQ9/Yz5u7U7WmlESWZT6LusCCL+NwsDRmx9PDldbWLcjFiok+ffgkKp3CilqlnBPgt9QCGhSyRrxlPS3IEUM9Hb6Nvaiy+4xJb6rH7ugQmtaGullTUlVHeqHqx8Rvis/C0kRfJUOE7ibzh7vx53s8+D4xh3/9kqLUF1BbE7LxtDfDz1E8Hws3GzHQFnsNeze7O4hyEUHlnhkzgO2JOfxj5xl2PD1cLV04KmsbeGNXKhtbOocMI8jFqtvvt4+FEc+MHchTowcQc6GYb2Iu8smhCwzua879/qotIeiomvpGXtp+mu0nLnGfbx/eme6HiYFyH0L+NmEQv6YU8MFv53j9QV+lnHN3cj59LYwY0o5uJ93N0sSAKX4O/HjiEssnDsLMSL/b7zM6vRgrE30G9elaqUxIS112KQN6q67spriyln1n8pkb5qJVXUK0xXORAyi7WseXRzOxNDZg6T1d36R4rqCCk9llvDzJS+09yDVVfX09OTk51NSod0iV0DFGRkY4Ojqir9++x26RZAsq19yn9f+2nGTb8WxmhKi2fc/1tdeLItx5fpyHyp+8dXQkhg+wJdzdhvEfRLH20AWm+jlo7BNS/pUanvwmgaScKzw/zoNnxw7olljdbE2ZM9SZb49lsWC4GwN6d63dXmVtA1F/FDI71FljWirODXPhu+M5/HjiEvPCXbv1vmRZJia9mDD3rreUdLM1xbaXAfGZJcxWYcut7YmXqG+UmRXac9t8qZMkSbwyaTDlVxt4/7dzWBjrMX941zajbY3PRl9X4kEV7z3QJjk5OZiZmeHq6qqxj/vCjWRZpri4mJycHNzc2vc70qPKRQTtcb+/A0EuVry9J40rV+tVcp83114P46X7vNS6OqajI7Eowp3UvHIOnStUWxy3czK7jKmrj3D+ciWfzgviuciB3fqk8FzkQIz1dVmlhLr9g2cvU9egYKKKB9Dcjp+jBb79LPg2Nqvb65uzS65yqewqwzrZuu96kiQR6mat0g4jsiyzKT6LQGdLPOzVt2m1p9PRkVj1sC/jB9vzj59S2J7Y+S4/dQ0Ktp+4xD1e9qJ+/jZqamqwsbERCbYWkSQJGxubDr37IJJsQS0kSeK1qd6UVNfx4W9/dPv9tV173f3lIe3xgH8/KhrnqgAAIABJREFU+pgbsfZQurpDuUlNfSNPfpOAob4O258azngV1MTa9DJkyej+/JpS0OWEbs+ZfGx7GRDsqtw6+66QJIm5Yc6kFVSQ0M37EqLTi4DO98duLcTVmktlTYm7KsRnlnKhsIqZYhW72+np6vDRrACG9bdh2Xen+DWloFPnOXC2gJKqOrHhsR1Egq19Ovo961FJtuguol18+lkwM8SZr2Iy+aOgolvuQxNXr1sz0NPh8RFuxF4o4WR2mbrDucGmuCwKymt5+2E/PLtY09sRfxruRh9zI97Yldrp1d6a+kYOnr3MeO8+6GpIqUizKX4OmBnp8U1M926AjLlQjJ2ZodKmXDbXZceraDV7c1wWZoZ6TB6i/k2rdwMjfV0+fTQYn34WPL0xseVFWkdsTcihj7kRER523RChoEwFBQXMnj0bd3d3goKCCA8P54cfflB5HK6urhQVte9nbf369eTm5irtuO7Wo5Js0V1E+/x1vAemBrr846czSnnr/HJFDb+mFPDuvjTmfX6M8Df3a+TqdWuzhjpjbqTH2t81ZzW7pr6Rj39PZ6ibtdJWQtvL2ECX58d7cDK7jF2dHN4Sda6Q6rpGtQ6guRUTAz2mBTmyOzmPokrldVK5nizLRKcXM6y/8t6S9uprjpmhHnGZ3Z9kX6mu55fTeUz1d1D6Blvh1noZ6rF+fggu1iYs/CqBUzntf+Gff6WG39Mu83BQP417YSvcSJZlHnjgASIiIrhw4QLHjx9n8+bN5OTcXCrU0NCghgjbJpJsQegAm16GPD/Og6Pni9l7pmNvT1bU1BN9voiPf09n8TfHCX9zP6Gv72fh1wn89/d0iirrmOTbl++XaN7qdWu9DPWYF+7C3pR8tbRIa8vGY1lcrqjl/+7xUMv9PxzoiKe9GW/vPUtdQ8dbHO5JzsfCWF/lLxDaa85QF+obZbYmZHfL+dMLKymsqCVcSS0WAXR1JIJcrVSykv3jyUvUNijEhkc1sDI14JvHh2JlasBjX8Rx/nL73mn8PjEHhQzTg0SpiKY7cOAABgYGLF68uOVzLi4uPPvss0BTkjp16lTGjh1LZGQksiyzbNkyfHx88PX1ZcuWLQD8/vvvTJ48ueUczzzzDOvXrweaVqhXrFhBYGAgvr6+nD3btM+muLiY8ePH4+3tzRNPPNHmAltjYyPz589vub/333+f7777joSEBObMmYO/vz9Xr17ln//8JyEhIfj4+LBo0SJkWW7zuOPHjzNq1CiCgoK49957ycvL665LewOxPCCo3dwwFzbGZbHylxRGe9q1mQzXNjSSmldBUnYZSTllJGWXcaGoiubfTRcbE0JcrfFzssTP0QJvBwutmzI2f5gbnx3O4LOoC7z18BC1xlJT38jHh9IJc1f9KnYzXR2J5fcNYsGX8Ww4dpEFHeh4UNeg4NfUAsYP7oO+kifZKcuA3r0Id7dhQ2wWT0b0V/rKn7L6Y7cW4mrN72lplFTVYW1qoNRzN5NlmU1xWfj0M8dHA1ov3o36WBjx7eNDmbY2hrnr4ti2OBwna5NbHi/LMtsSshnqZo1rD5/ip2yv/XSGlFzlDqga7GDOiinet/z6mTNnCAwMvO05EhMTOXXqFNbW1nz//fecPHmSpKQkioqKCAkJISIi4o5x2NrakpiYyH//+1/eeecd1q1bx2uvvcaIESN49dVX+eWXX/j8889vut3Jkye5dOkSycnJAJSVlWFpacnq1at55513CA4OBpqS+ldffRWAefPm8fPPPzNt2rQbjquvr+fZZ59lx44d2NnZsWXLFv7+97/zxRdf3DH+rhJJtqB2ero6/GOKN7PXHePTqAs8PWYAFworOZldxqmcKyTllJGaV059Y1NGbdvLEH8nC+7374efkyVD+llg1U1P9qpkZ2bI9CBHtiXk8Pw4D7WOnd94LIvCilr+MytAbTEAjPawY/gAGz7a/wcPBzli3s6+0jEXiqmoadCoriJtmRfuwlMbEjl07jJjB9kr9dzR6cX0szTGydpYqecNdbtWl51Z0m3DYZJyrnA2v4KVD/T8iXCazNXWlG8eD2XGJzHM+/wY2xYPw86s7Y4hcRklZBZX8+zYrvfZFlTv6aef5siRIxgYGBAfHw/AuHHjsLZu+n0/cuQIs2bNQldXF3t7e0aNGkV8fDzm5ua3Pe9DDz0EQFBQENu3bwcgKiqq5e+TJk3CyurmMk53d3cuXLjAs88+y6RJkxg/fnyb5z948CBvv/021dXVlJSU4O3tzZQpU244Ji0tjeTkZMaNGwc0rZL37auafR4iyRY0wrABttzn24fVB87zyaF0quqaxo33MtTDt58Ffxrhhr+jJX5OlvS1MOqxu7IXRbizKS6Lz49m8OJEL7XE0LyKHe5uo7Rpjp0lSRIvTvRi8n+OsPb3dP42YVC7brcnOQ9TA11GDFTuKq6yjRtsT28zQ76NzVJqkq1QyMRcKOYeL3ul/64McbTAQE+H+IzuS7I3x2VhrK/L/f4O3XJ+of28+prz5YJQ5q47xqNfxLF5URgWxje/2N2akEMvQz3u8xWbVDvqdivO3cXb25vvv/++5d9r1qyhqKioZYUYwNT0zu9I6OnpoVD8r5yvdXs7Q8OmF2W6urodqu22srIiKSmJvXv3snbtWrZu3XrTynNNTQ1PPfUUCQkJODk58Y9//KPN9nqyLOPt7U1MTEy7719ZNPN91E4S3UW028uTBjN8gA0PBTryznQ/fv1zBEkrxrNpURgvTvRiom9fHCyNe2yCDeBiY8pE375sjM2ivEY1/cNb23BtFVsZk9+UwaefBQ8G9OPzIxnktqN1XKNCZt+ZAsYM6q3RdfgA+ro6zAxx4mDaZbJLqpV23rP5FZRV1yulP3Zrhnq6+DtZEt9Nmx8raxvYmZTL5CF9VTIRU7izIBcrPpkXxPnLFfxpfTzVdTcmSxU19ew6nccUPwetK9O7W40dO5aamho+/vjjls9VV9/6MWjkyJFs2bKFxsZGCgsLiYqKIjQ0FBcXF1JSUqitraWsrIz9+/ff8b4jIiLYuHEjALt376a09OZWpkVFRSgUCh5++GFWrlxJYmIiAGZmZlRUNO0RaE6obW1tqays5Lvvvmu5/fXHeXp6UlhY2JJk19fXc+bMmTvGqQw9KskW3UW0m4OlMV8uCOVfD/gwLciRgfZmd+UO9SWj+lNR28CG2CyV3/fVuqaOIpqwin29v4z3QAbe+/XcHY+NyyihuKqOiT7asaI2a6gzOpLExjjlfb+V3R+7tVBXa5Jzy6mqVX7XgZ+ScqmuaxS9sTVMhIcdH84M4ERWKUu+TbxhM/LPp/K4Wt/II8GOaoxQ6AhJkvjxxx85dOgQbm5uhIaG8thjj7Fq1ao2j3/wwQcZMmQIfn5+jB07lrfffps+ffrg5OTEI488go+PD4888ggBAXcuMVyxYgVRUVF4e3uzfft2nJ1v/l2/dOkSo0ePxt/fn7lz5/Lmm28CMH/+fBYvXoy/vz+GhoYsXLgQHx8f7r33XkJCQlpuf/1xjY2NfPfdd7zwwgv4+fnh7+9PdHR0J69cx0jdPXFMHYKDg+WEhAR1hyEInTZ33THSCio4/LcxKl2NXXf4Ait/SWXLojCGalCSDfDmrlQ+PXyBX54dyWCHW9cBrtiRzOb4bBJfGYepoXZUxC36OoHjF0uJfnEshnpd/34/8VU86YVVHPzr6K4H14ZD5wp57Is4vnk8lJEDldsP+f7VR7ha38je/4vo0e9aaast8Vm88P1pJg3py0czA9DVkXhgzVGq6xrE96wDUlNT8fJST0mg0DVtfe8kSTouy3Jw62N71Eq2IPQUi0f1p7Cilh9OXFLZfV6ta2TtoQsM62+jcQk2wFOjB2BupM9btxm3rlDI7D1TwCgPO61JsKGpw05xVR17kjvXE/x6DY0Kjl0o6dauMEEuVuhIyh9Kk5JbTlLOFWaGOItkTUPNCHHmpfsG8cupPF7+MZlzBRWczC7jkWAn8T0ThFZEki0IGmj4ABt8+pnzadQFGhWqebdpw7GLFFWqry/2nViY6PPs2AFEnSvk8B+FbR5zMqeM/PIaJmh4V5HWRgywxdXGhG9juz4BMjm3nIraBqX2x26tl6Ee3g4WSh9Kszk+CwM9HR4K7KfU8wrKtSiiP0+P6c+muCwWfBmPno7EgwHieyYIrYkkWxA0kCRJLB7Vn4yiKvad6frq5p00rWKnM3yATUuLNk00L9wFRytj3th1FkUbLz72JOejrysR6aXcdnjdTUdHYs5QF+IzSzmb37V+uc39sbu7pj7E1ZoTWWXUNjQq5XxX6xr54cQlJvr0wdJE+1ty9nR/He/J3DBnLpVd5R4ve2x6td3aTxDuZiLJFgQNNdGnLy42Jqw9lK6UkfO3823sRYoq6zR2FbuZoZ4uy+71JDWvnB9P3lhKI8syu5PzGNbfts0WY5puWpAjBno6XV7Njk4vwtPe7Jb9jJUl1M2K2gYFyZeU081p1+k8KmoamBkiNjxqA0mS+OdUH16b6s1L94naYkFoi0iyBUFD6epILBzpTlLOFWIuFHfb/VTXNfBJVDojBtgS4qq5q9jNpgxxYIijBe/sTaOm/n+rqGdyy8kuuarxA2huxcrUgClDHPgh8RKVnezaUdegICGzVCVTOpt/VuIybm6/1Rmb47NwszUlzF3zfwaFJjo6Eo8Nc8XZ5taTIAXhbiaSbEHQYNOCHLHtZcDaQxe67T7+t4qtGX2x70RHp2lATe6VGtZHZ7Z8fu+ZfHSkpgEv2mpumDNVdY382MkNr0k5ZVytb1RJkm3Ty5D+dqZK6Zd9/nIF8ZmlzAgRm+cEQeg5elSSLYbRCD2Nkb4uC4a7EXWukDO5yv+5rq5r4JNDFxg50JZgLVjFbhbe34bIQb1Zc/A8pVV1AOxOzifUzVqra0P9nSzxdjDn29iLnSoRij5fjCRBmJtqusOEulkTn1nS5c25m+Oy0dOReDhQ9FkWBFXR1dXF39+/5eOtt97q8Dl27tzZcrsff/yRlJSUDp+jV69e7T72gw8+uO3QnI4ed71t27bh7e2Njo4OymoD3aOSbDGMRuiJ5g51wdRAl0+6YTX729iLFFdpzyr29V6YOIiq2gb+c+A85y9XcP5ypdYMoLkVSZKYF+bC2fwKjl/seBlGdHoR3g7mWJiopiY9xNWaipoG0vIrOn2O2oZGvk/MYdxg+26vIxcE4X+MjY05efJky8fy5cs7fI6pU6e23K6zSXZHdGeS7ePjw/bt24mIiOhseDfpUUm2IPREFib6zB7qzM+ncpU6evv6VewgF+1ZxW7mYW/GI8FOfBOb2fIC5F5v7azHvt5UfwfMjPQ6vAGypr6RE1llDOtv202R3ay5E01XSkb2nSmgtLpeTHgUBA1w5coVPD09SUtLA2DWrFl89tlnAOzZs4fAwED8/PyIjIwEYP369TzzzDNER0ezc+dOli1bhr+/P+np6aSnpzNhwgSCgoIYOXIkZ882zTjIyMggPDwcX19fXn755TbjqKqqYtKkSfj5+eHj48OWLVv46KOPyM3NZcyYMYwZMwaAJUuWEBwcjLe3NytWrABo87h9+/YRHh5OYGAg06dPp7Ky8qb79PLywtPTU4lXE7RnWoMg3MUeH+HO+uhM1h2+wGv3+yjlnN/EaO8qdrM/j/Ngx8lcth3PIdDZkj4WRuoOqctMDPR4ONCRjceyeGVybbvLX45fLKWuUaGSeuxmjlYmOFgYEZdZwmPDXDt1js3xWfSzNGbkANW9OBAEjbJ7OeSfVu45+/jCxNuXf1y9ehV/f/+Wf7/44ovMmDGD1atXM3/+fJYuXUppaSkLFy6ksLCQhQsXEhUVhZubGyUlN76wHjZsGFOnTmXy5MlMmzYNgMjISNauXcvAgQM5duwYTz31FAcOHGDp0qUsWbKERx99lDVr1rQZ2549e3BwcOCXX34BmpJ/CwsL3nvvPQ4ePIitbdPjxeuvv461tTWNjY1ERkZy6tQpnnvuuRuOKyoqYuXKlfz222+YmpqyatUq3nvvPV599dVOX972EivZgqAF+lgY8YB/P7YkZFNcWdvl81XVNvBJlPauYjezNzdi4Ug3AK0bQHM7c8OcqWtUsDUhp923iU4vQldHUnmHmBA3a+IySjpVQ36xuIqj54uZEeKEjo7Y8CgIqtS6XGTGjBkAjBs3Dl9fX55++mnWrVsHQGxsLBEREbi5NT3eWlvf/nGmsrKS6Ohopk+fjr+/P08++SR5eXkAHD16lFmzZgEwb968Nm/v6+vLr7/+ygsvvMDhw4e5VRnw1q1bCQwMJCAggDNnzrRZrhIbG0tKSgrDhw/H39+fr776iosXuz74qz3ESrYgaIknR7mz7XgOX8Vc5PlxXetn/U3sRUqqNL8vdnssHt0fgBnBPafcYEBvM8LcrdkYd5FFEe7otiMBjUkvxs/Rgl4qHicf6mbNjpO5XCyuxtXWtEO33RKfjY4E04PFhkfhLnaHFWdVUygUpKamYmJiQmlpKY6OHf/9VCgUWFpacvLkyTa/fqcuQh4eHiQmJrJr1y5efvllIiMjb1p5zsjI4J133iE+Ph4rKyvmz59PTU3NTeeSZZlx48axadOmDv8/ukqsZAuClhjQ24xxg+35OiaT6rrO9VGGplXsT6MuEOFhR5CLlfICVBMTAz2eH++pss1+qjI3zIXskqtEnWt7hPz1KmsbSMq5otJ67Gahzf2yO1iXXd+oYNvxHMZ49qavhXF3hCYIQie8//77eHl5sXHjRhYsWEB9fT1hYWFERUWRkZEBcFO5CICZmRkVFU2boM3NzXFzc2Pbtm1AU6KblJQEwPDhw9m8eTMAGzZsaDOG3NxcTExMmDt3LsuWLSMxMfGm+ygvL8fU1BQLCwsKCgrYvXt3m7GEhYVx9OhRzp8/DzTVe587d65rF6mdRJItCFpk8aj+lFXXszkuu9Pn+DqmeRVbe2ux7wbjB/fBzsywXRsgm9voqbIeu9mA3r2wMtEnPqNjSfaBs5cprKgVGx4FQU2aa7KbP5YvX05aWhrr1q3j3XffZeTIkURERLBy5Urs7Oz49NNPeeihh/Dz82spLbnezJkz+fe//01AQADp6els2LCBzz//HD8/P7y9vdmxYwcAH374IWvWrMHX15dLl9qeCXD69GlCQ0Px9/fntddea9kguWjRIiZMmMCYMWPw8/MjICCAQYMGMXv2bIYPH95y++uPs7OzY/369cyaNYshQ4YQHh7esgnzej/88AOOjo7ExMQwadIk7r333i5fY6m7xzWrQ3BwsKysHoeCoGkeWRvDpbKr/L5sNPq6HXudXFXbwIhVBxjiaMlXfwrtpggFZXl3XxqrD54natkYnKxvPVXvjV2prD+ayal/jMdIX1eFETZZ+HUC5woqOLRsTLtvs+DLOFLyyjn6wlj0OvhzLAjaLjU1FS8vMY5eG7X1vZMk6bgsy8GtjxWPbIKgZRaPdudS2VV+Ssrt8G2/ismktLperGJriVmhzkjApris2x4XnV5EgLOlWhJsgKFu1lwsruZy+c31kG3JLbvKoXOFTA9yEgm2IAg9Vo96dBMTH4W7wRjP3njam/HJoQsd6uhQWdvAZ1EXGO1pR4Cz9tdi3w0cLI2J9LJna0I2dQ2KNo+5Ul3PmdxytdRjNwvpYF321oRsFDLMCHHqzrAEQRDUqkcl2WLio3A3kCSJJ0e5k1ZQwcG0y+2+3dcxzavY2t9R5G4yN8yFoso69pzJb/PrsRnFyDIMG6D6euxm3g7mmBjotqsuu1EhszU+m5EDbW9bAiMIgqDtelSSLQh3iyl+DjhYGLH29/aNWq+81lFkjKcd/k6W3RydoEwjB9jiYmPCtzFtb4CMSS/GWF8XP0f1fV/1dHUIdLbiWDuS7Kg/Csm9UsPMELHhURCEnk0k2YKghfR1dXh8pDtxmSUcv1h6x+O/is6krLqepWIVW+vo6EjMDnUmLrOEtPyKm74ek15MsKsVBnrqfTgPdbMmraCCK1frb3vc5rgsbEwNGDfYXkWRCYIgqIdIsgVBS80MccLCWJ+1h9Jve1xFTT2fHRar2NpserATBno6bDh242p2YUUtaQUVaq3Hbhbiao0sw/GLt17NvlxRw/7Uyzwc5Kj2FwWCIAjdTTzKCYKWMjXU47FwF35NKeD85ZtXOJt9HXORMlGLrdWsTQ2Y7NuX7YmXqKr93yCi2AvFAGrpj91agLMl+roScRm3fmflu+M5NChkseFREDSArq7uDX2y33qr45Mnd+7c2XK7H3/8sc2x5nfSq1evdh/7wQcfUF1drbTjrrds2TIGDRrEkCFDePDBBykrK+vQ7dsikmxB0GKPDXPFSF+HTw61XZvdvIo9dlBv/MQqtlabE+ZCZW0DP5783/CGmAvFmBnq4eNgrsbImhjp6zLE0ZK4jOI2v65QyGyOyybUzZr+du1/UhUEoXsYGxtz8uTJlo/ly5d3+BxTp05tuV1nk+yO6M4ke9y4cSQnJ3Pq1Ck8PDx48803OxtmC5FkC4IWs+llyCPBTvx48hJ5V67e9PXmWmzRF1v7BTpbMrivOd/EXGxp3RiTXsxQd2uN6TUd4mrN6UtXqKlvvOlrMReKySqpZlaoWMUWBE115coVPD09SUtLA2DWrFl89tlnAOzZs4fAwED8/PyIjIwEYP369TzzzDNER0ezc+dOli1bhr+/P+np6aSnpzNhwgSCgoIYOXJky5TFjIwMwsPD8fX1bZnk2FpVVRWTJk3Cz88PHx8ftmzZwkcffURubi5jxoxhzJimwVdLliwhODgYb29vVqxYAdDmcfv27SM8PJzAwECmT59OZWXlTfc5fvx49PT0gKZR7Dk5OV2+nnpdPoMgCGq1cKQ7G45l8cWRDP4+aXDL55tWsTOIHNSbIWrsPCEohyRJzA1z4aUfTpOYVYqDpTEZRVXMGao5XTpC3axYe0jmRFbZTSUsm+KyMDfSY6JPXzVFJwiaaVXcKs6W3DzmuysGWQ/ihdAXbntM81j1Zi+++CIzZsxg9erVzJ8/n6VLl1JaWsrChQspLCxk4cKFREVF4ebmRknJjXsvhg0bxtSpU5k8eTLTpk0DIDIykrVr1zJw4ECOHTvGU089xYEDB1i6dClLlizh0UcfZc2aNW3GtmfPHhwcHPjll1+ApuTfwsKC9957j4MHD2Jr27QP5fXXX8fa2prGxkYiIyM5deoUzz333A3HFRUVsXLlSn777TdMTU1ZtWoV7733Hq+++uotr80XX3zR5uj4jhJJtiBoOSdrEyb59mXjsSyeGTMQCxN9ANYfzeTK1XqWilXsHuN+fwfe2JXKt7FZjBzY9CSjCZsemwW5WCNJEJ9ZckOSXVJVx74zBcwe6qy2qZSCINyouVyktXHjxrFt2zaefvppkpKSAIiNjSUiIgI3NzcArK2tb3vuyspKoqOjmT59esvnamtrATh69Cjff/89APPmzeOFF25+MeDr68tf/vIXXnjhBSZPnszIkSPbvJ+tW7fy6aef0tDQQF5eHikpKQwZMuSGY2JjY0lJSWH48OEA1NXVER4efsvYX3/9dfT09JgzZ85t/4/tIZJsQegBnhzlzs6kXL49dpGnxwygvKaedUcyuMdLrGL3JKaGejwc2I9NcdmUX63HykSfQX3M1B1WCwtjfQb1MSeuVb/s7Yk51DUqmClKRQThJndacVY1hUJBamoqJiYmlJaW4ujo2KlzWFpatpnEQ9M7c7fj4eFBYmIiu3bt4uWXXyYyMvKmleeMjAzeeecd4uPjsbKyYv78+dTU1Nx0LlmWGTduHJs2bbpj3OvXr+fnn39m//79d4yxPTSjkE8QhC7xdrAgwsOOL49mUFPf+L9V7EjRUaSnmRPmQl2jgv1nLxPmboOOTtefCJQp1NWKxKxSGhqbxsDLssymuCz8nSwZ1Ef9GzQFQbi9999/Hy8vLzZu3MiCBQuor68nLCyMqKgoMjIyAG4qFwEwMzOjoqKp05W5uTlubm5s27YNaHocaF4VHz58OJs3bwZgw4YNbcaQm5uLiYkJc+fOZdmyZSQmJt50H+Xl5ZiammJhYUFBQQG7d+9uM5awsDCOHj3K+fPngaZ673Pnzt10n3v27OHtt99m586dmJgoZxqtSLIFoYdYPMqdoso6vjyaybrDF7jHyx5fRwt1hyUomYe9GaFuTW/VDtOA1n2thbhZU13XyJnccgASLpaSXlglNjwKgoZprslu/li+fDlpaWmsW7eOd999l5EjRxIREcHKlSuxs7Pj008/5aGHHsLPz6/NeuWZM2fy73//m4CAANLT09mwYQOff/45fn5+eHt7s2PHDgA+/PBD1qxZg6+vL5cuXbrpPACnT58mNDQUf39/XnvttZYNkosWLWLChAmMGTMGPz8/AgICGDRoELNnz24pB2l9nJ2dHevXr2fWrFkMGTKE8PDwlk2Y13vmmWeoqKhg3Lhx+Pv7s3jx4i5fY6l5l3pPEhwcLCckJKg7DEFQKVmWeWDNUU5duoIsw8/PjsCnn0iye6J9Z/J5ZuMJfn0+AhcbU3WHc4PL5TWEvrGflyd58cRId57fepK9yfnE/f0eTA1FhaIgAKSmpuLl5aXuMIROaOt7J0nScVmWg1sfK1ayBaGHkCSJxaP6I8swbrC9SLB7sPHefUhaMV7jEmyA3uZGuNqYcCyjhCtX69l1Oo+p/v1Egi0Iwl2nRz3qSZI0BZgyYMAAdYciCGox3rsPfx3vwf3+/dQditDNjA00t0tHiKs1v6UW8OOJS9TUK0SpiCAId6UetZIty/JPsiwvsrAQK3jC3UlXR+KZsQNxslbOpg1B6IwQN2tKq+v5z4E/GNzXHF/xroogCHehHpVkC4IgCOo39NrGzKLKOmaFOimlFZYgCIK2EUm2IAiCoFTO1ib0NjPESF+H+wNE6ZIgCHenHlXkLOJEAAAPk0lEQVSTLQiCIKifJEk8Nbo/DQoZcyN9dYcjCIKgFmIlWxAEQVC6+cPdeGKku7rDEAThFnR1dW/ok/3WW291+Bw7d+5sud2PP/5ISkpKh8/Rq1evdh/7wQcfUF1drbTjrvfKK68wZMgQ/P39GT9+PLm5uR26fVtEn2xBEARBEAQV0oQ+2b169aKyslJp55s/fz6TJ09m2rRp3RaHq6srCQkJ2NraKuW465WXl2Nu3jSV9qOPPiIlJYW1a9fedJzoky0IgiAIgiB0yJUrV/D09CQtLQ2AWbNm8dlnnwFNY8cDAwPx8/MjMjISgPXr1/PMM88QHR3Nzp07WbZsGf7+/qSnp5Oens6ECRMICgpi5MiRLVMWMzIyCA8Px9fXt2WSY2tVVVVMmjQJPz8/fHx82LJlCx999BG5ubmMGTOGMWPGALBkyRKCg4Px9vZmxYoVAG0et2/fPsLDwwkMDGT69OltJvXNCXbz/Stjw7aoyRYEQRAEQVCT/DfeoDb15jHfXWHoNYg+L71022Oax6o3e/HFF5kxYwarV69m/vz5LF26lNLSUhYuXEhhYSELFy4kKioKNzc3SkpKbjjXsGHDmDp16g0r2ZGRkaxdu5aBAwdy7NgxnnrqKQ4cOMDSpUtZsmQJjz76KGvWrGkztj179uDg4MAvv/wCNCX/FhYWvPfeexw8eLBlhfr111/H2tqaxsZGIiMjOXXqFM8999wNxxUVFbFy5Up+++03TE1NWbVqFe+99x6vvvrqTff797//na+//hoLCwsOHjzY/gt+C2IlWxAEQRAE4S5jbGzMyZMnWz5mzJgBwLhx4/D19eXpp59m3bp1AMTGxhIREYGbmxsA1tbWtz13ZWUl0dHRTJ8+HX9/f5588kny8vIAOHr0KLNmzQJg3rx5bd7e19eXX3/9lRdeeIHDhw9zq/knW7duJTAwkICAAM6cOdNmTXhsbCwpKSkMHz4cf39/vvrqKy5evNjm+V5//XWys7OZM2cOq1evvu3/sT3ESrYgCIIgCIKa3GnFWdUUCgWpqamYmJhQWlqKo6Njp85haWnJyZMn2/z6nUoxPDw8SExMZNeuXbz88stERkbetPKckZHBO++8Q3x8PFZWVsyfP5+ampqbziXLMuPGjWPTpk3tjn/OnDncd999vPbaa+2+TVvESrYgCIIgCIIAwPvvv4+XlxcbN25kwYIF1NfXExYWRlRUFBkZGQA3lYsAmJmZUVFRATTVN7u5ubFt2zagKdFNSkoCYPjw4WzevBmADRs2tBlDbm4uJiYmzJ07l2XLlpGYmHjTfZSXl2NqaoqFhQUFBQXs3r27zVjCwsI4evQo58+fB5rqrc+dO3fTff7xxx8tf9+xYweDBg1q7yW7JbGSLQiCIAiCcJdpXZM9YcIEFixYwLp164iLi8PMzIyIiAhWrlzJa6+9xqeffspDDz2EQqGgd+/e/Prrrzecb+bMmSxcuJCPPvqI7777jg0bNrBkyRJWrlxJfX09M2fOxM/Pjw8//JDZs2ezatUq7r///jZjO336NMuWLUNHRwd9fX0+/vhjABYtWsSECRNwcHDg4MGDBAQEMGjQIJycnBg+fHjL7Vsft379embNmkVtbS0AK1euxMPD44b7XL58OWlpaejo6ODi4tJmZ5GOEi38BEEQBEEQVEgTWvgJnSNa+AmCIAiCIAiCGokkWxAEQRAEQRCUTCTZgiAIgiAIgqBkIskWBEEQBEFQsZ64J66n6+j3TCTZgiAIgiAIKmRkZERxcbFItLWILMsUFxdjZGTU7tuIFn6CIAiCIAgq5OjoSE5ODoWFheoORegAIyOjDg3nEUm2IAiCIAiCCunr67eMKBd6LlEuIgiCIAiCIAhKJpJsQRAEQRAEQVAykWQLgiAIgiAIgpL1yLHqkiQVAhfVHYeGsgWK1B2ElhPXsOvENew6cQ2VQ1zHrhPXsOvENew6dV5DF1mW7Vp/skcm2cKtSZKUIMtysLrj0GbiGnaduIZdJ66hcojr2HXiGnaduIZdp4nXUJSLCIIgCIIgCIKSiSRbEARBEARBEJRMJNl3n0/VHUAPIK5h14lr2HXiGiqHuI5dJ65h14lr2HUadw1FTbYgCIIgCIIgKJlYyRYEQRAEQRAEJRNJdg8lSdIESZLSJEk6L0nS8lsc84gkSSmSJJ2RJGmjqmPUdHe6hpIkOUuSdFCSpBOSJJ2SJOk+dcSpqSRJ+kKSpMuSJCXf4uuSJEkfXbu+pyRJClR1jNqgHddxzrXrd1qSpGhJkvxUHaOmu9M1vO64EEmSGiRJmqaq2LRFe66hJEmjJUk6ee055ZAq49MG7fhdtpAk6SdJkpKuXcMFqo5R00mS5HTtebc5d1naxjEa89wikuweSJIkXWANMBEYDMySJGlwq2MGAi8Cw2VZ9gb+T+WBarD2XEPgZWCrLMsBwEzgv6qNUuOtBybc5usTgYHXPhYBH6sgJm20nttfxwxglCzLvsC/0MC6RA2wnttfw+bf+VXAPlUEpIXWc5trKEmSJU2PgVOvPadMV1Fc2mQ9t/85fBpIkWXZDxgNvCtJkoEK4tImDcBfZFkeDIQBT7fx3Kwxzy0iye6ZQoHzsixfkGW5DtgM3N/qmIXAGlmWSwFkWb6s4hg1XXuuoQyYX/u7BZCrwvg0nizLUUDJbQ65H/habhILWEqS1Fc10WmPO11HWZajm3+PgVjAUSWBaZF2/CwCPAt8D4jHwja04xrOBrbLspx17XhxHVtpxzWUATNJkiSg17VjG1QRm7aQZTlPluXEa3+vAFKBfq0O05jnFpFk90z9gOzr/p3DzT+EHoCHJElHJUmKlSTptqs8d6H2XMN/AHMlScoBdtH0JC20X3uusdAxjwO71R2EtpEkqR/wIOLdlK7wAKwkSfpdkqTjkiQ9qu6AtNBqwIumBZvTwFJZlhXqDUlzSZLkCgQAx1p9SWOeW/TUcaeCRtCj6a2U0TStfEVJkuQry3KZWqPSLrOA9bIsvytJUjjwjSRJPuJBUVAHSZL+v737j9WyrOM4/v5MKTCYlKdsogYiZUpAgunAmpSjaVvS+jGbwzDXatqMfjBbP5e1wlg/bCstrcyG0iRU/mggNdSSw68Qz4Fw/gDXTrJlVCY4S+TTH/dFPJyec3w43HCeg5/XP+c+93091/29r3N27u+5nu/9XDOpkuzzBzuWIej7wLW291aTiDEAxwJTgXcBI4BOSWtsPzq4YQ0p7wY2Ae8ExgMrJf3e9r8GN6z2I2kk1TtP89p5fJJkH53+ApzS8P3JZV+jHmCt7ReA7ZIepUq61x+ZENteK2N4JaW+znanpOFAB3m7uVWtjHG0QNIk4BbgIts7BzueIWgasLgk2B3AxZL22L57cMMaUnqAnbZ3A7slPQBMBpJkt+4KYIGrz1Z+XNJ24Axg3eCG1V4kDaNKsBfZXtqkSdvcW1IucnRaD0yQNK48NHEpsKxXm7upZrGR1EH1Vt+2Ixlkm2tlDP9MNWuDpDcDw4Gnj2iUQ9sy4PLyJPh5wDO2dwx2UEONpFOBpcCczBoOjO1xtsfaHgssAa5Kgn3Q7gHOl3SspOOAc6nqZaN1jfeUE4E3kfvyAUq9+k+Brba/20eztrm3ZCb7KGR7j6RPAiuAY4Cf2d4i6Tpgg+1l5dgsSX8CXgTmZwZsvxbH8LPAzZI+TfXAylxndaf/kXQH1T9yHaVu/avAMADbN1HVsV8MPA48RzWLE720MI5fAU4AflRmYvfYnjY40banFsYwXsJLjaHtrZKWA13AXuAW2/1+ZOLLTQu/h18HbpXUDYiqhOlvgxRuu5oBzAG6JW0q+74AnArtd2/Jio8RERERETVLuUhERERERM2SZEdERERE1CxJdkREREREzZJkR0RERETULEl2RERERETNkmRHRBwCSbtaaDOvfHZwXeecLenMGvtbfQiv3VW+niRpST/tRku6aqDniYgYapJkR0QcfvOAg0qyJR3Tz+HZQG1Jtu3pNfTxlO0P9NNkNJAkOyJeNpJkR0TUQNIFku6TtETSI5IWlRXHrgFOAlZJWlXazpLUKWmjpDsljSz7n5R0vaSNwAclfUzSekkPS/q1pOMkTQfeCyyUtEnSeElTJK2R1CXpLkmvLv3dJ+l7kjZI2irpHElLJT0m6RsNse9q2L5WUnc554Im1zmuxN7dq4+xkjaX7bMkrSvxdUmaACwAxpd9CyWNlPS7Mgbdki5p6GerpJslbZF0r6QR5djpkn5bYtsoaXzZP7+MU5ekr9X6g42IGKAk2RER9Xkr1az1mcBpwAzbPwCeAmbanimpA/gScKHts4ENwGca+thp+2zbi4Glts+xPZlqieorba+mWjZ4vu0ptp8AbqNaHW4S0E21ktw+/ykrQN5EtfT11cBEYK6kExqDl3QRcAlwbjnnt5tc4w3AjbbfAvS1VPEngBtsTwGmAT3A54EnSszzgeeB95UxmAl8pyyZDDAB+KHts4B/Au8v+xeV/ZOB6cAOSbNK+7cBU4Cpkt7RR1wREUdMllWPiKjPOts9AGXJ37HAH3q1OY8qCX+w5JSvADobjv+qYXtimS0eDYwEVvQ+oaTjgdG27y+7fgHc2dBkWfnaDWyxvaO8bhtwCrCzoe2FwM9tPwdg++9NrnEG+5PeXwLXN2nTCXxR0slU/yg8tj9/3h868M2SEO8FxgAnlmPbbe9bMvmPwFhJo4Axtu8qsT1frmMWMAt4qLQfSZV0P9AkroiIIyZJdkREff7dsP0izf/GClhp+8N99LG7YftWYLbthyXNBS44hJj29opvbx/xtcL9HrRvl7QWeA/wG0kfB7b1anYZ8Fpgqu0XJD0JDO8VM1TjOKKf0wn4lu0fH0T8ERGHXcpFIiIOv2eBUWV7DTBD0ukAkl4l6Y19vG4UVUnEMKqk9P/6s/0M8A9Jby/H5gD3MzArgSv2fRKKpNc0afMgcGnZvqzJcSSdBmwrpTL3AJM4cAwAjgf+WhLsmcAb+gvM9rNAj6TZ5RyvLHGuAD7aUNc+RtLrWrraiIjDKEl2RMTh9xNguaRVtp8G5gJ3SOqiKq04o4/XfRlYS5XYPtKwfzEwX9JD5eG/j1A9CNlFVZd83UCCtL2cqrxkQyl3+VyTZp8CrpbUTVXi0cyHgM2lj4nAbbZ3UpXIbJa0kKq+elrp5/Je19eXOcA15TpXA6+3fS9wO9BZ+lrCgcl8RMSgkN3vu34REREREXGQMpMdEREREVGzJNkRERERETVLkh0RERERUbMk2RERERERNUuSHRERERFRsyTZERERERE1S5IdEREREVGzJNkRERERETX7Lxt67lqgp0LcAAAAAElFTkSuQmCC\n",
+ "image/png": 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\n",
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""
]
diff --git a/chemistry/h2_excited_states.ipynb b/chemistry/h2_excited_states.ipynb
index f35086e..a102e84 100644
--- a/chemistry/h2_excited_states.ipynb
+++ b/chemistry/h2_excited_states.ipynb
@@ -6,7 +6,7 @@
"collapsed": true
},
"source": [
- "## _*H2 excited states from ExactEigensolver*_\n",
+ "## _*H2 excited states from NumPyEigensolver*_\n",
"\n",
"This notebook demonstrates using Qiskit Chemistry to plot graphs of the ground state and excited state energies of the Hydrogen (H2) molecule over a range of inter-atomic distances. This notebook utilizes the fact that when two_qubit_reduction is used with the parity mapping on H2 the resultant hamiltionian solely contains the 4 states we are looking for.\n",
"\n",
@@ -22,8 +22,6 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Couldn't find cython int routine\n",
- "Couldn't find cython int routine\n",
"Processing step 20 --- complete\n",
"Distances: [0.5 0.525 0.55 0.575 0.6 0.625 0.65 0.675 0.7 0.725 0.75 0.775\n",
" 0.8 0.825 0.85 0.875 0.9 0.925 0.95 0.975 1. ]\n",
@@ -49,10 +47,14 @@
"source": [
"import numpy as np\n",
"import pylab\n",
- "from qiskit.aqua.algorithms import ExactEigensolver\n",
+ "from qiskit.aqua.algorithms import NumPyEigensolver\n",
"from qiskit.chemistry.drivers import PySCFDriver\n",
"from qiskit.chemistry.core import Hamiltonian, QubitMappingType\n",
"\n",
+ "# TODO: Ignore warnings for now until the algorithm result handling is changed.\n",
+ "import warnings\n",
+ "warnings.filterwarnings('ignore', category=DeprecationWarning)\n",
+ "\n",
"molecule = 'H .0 .0 -{0}; H .0 .0 {0}'\n",
"\n",
"start = 0.5 # Start distance\n",
@@ -69,8 +71,8 @@
" qmolecule = driver.run()\n",
" operator = Hamiltonian(qubit_mapping=QubitMappingType.PARITY, two_qubit_reduction=True)\n",
" qubit_op, aux_ops = operator.run(qmolecule)\n",
- " result = ExactEigensolver(qubit_op, k=4).run()\n",
- " lines, result = operator.process_algorithm_result(result)\n",
+ " result = NumPyEigensolver(qubit_op, k=4).run()\n",
+ " _, result = operator.process_algorithm_result(result)\n",
" \n",
" energies[:, i] = result['energies']\n",
" distances[i] = d\n",
diff --git a/chemistry/h2_iqpe.ipynb b/chemistry/h2_iqpe.ipynb
index e299d17..055ee68 100644
--- a/chemistry/h2_iqpe.ipynb
+++ b/chemistry/h2_iqpe.ipynb
@@ -6,7 +6,7 @@
"source": [
"## _*H2 ground state energy computation using Iterative QPE*_\n",
"\n",
- "This notebook demonstrates computing and graphing the ground state energy of the Hydrogen (H2) molecule over a range of inter-atomic distances using `IQPE` (Iterative Quantum Phase Estimation) algorithm. It is compared to the ground-truth energies as computed by the `ExactEigensolver`.\n",
+ "This notebook demonstrates computing and graphing the ground state energy of the Hydrogen (H2) molecule over a range of inter-atomic distances using `IQPE` (Iterative Quantum Phase Estimation) algorithm. It is compared to the ground-truth energies as computed by the `NumPyMinimumEigensolver`.\n",
"\n",
"This notebook has been written to use the PYSCF chemistry driver. See the PYSCF chemistry driver readme if you need to install the external PySCF library that this driver requires.\n",
"\n",
@@ -25,10 +25,8 @@
"import multiprocessing as mp\n",
"from qiskit import BasicAer\n",
"from qiskit.aqua import QuantumInstance, AquaError\n",
- "from qiskit.aqua.operators import Z2Symmetries\n",
- "from qiskit.aqua.operators.op_converter import to_weighted_pauli_operator\n",
- "from qiskit.aqua.algorithms.single_sample import IQPE\n",
- "from qiskit.aqua.algorithms.classical import ExactEigensolver\n",
+ "from qiskit.aqua.operators import Z2Symmetries, op_converter\n",
+ "from qiskit.aqua.algorithms import IQPE, NumPyMinimumEigensolver\n",
"from qiskit.chemistry import FermionicOperator\n",
"from qiskit.chemistry.components.initial_states import HartreeFock\n",
"from qiskit.chemistry.drivers import PySCFDriver, UnitsType\n",
@@ -47,20 +45,21 @@
" molecule = driver.run()\n",
" qubit_mapping = 'parity'\n",
" fer_op = FermionicOperator(h1=molecule.one_body_integrals, h2=molecule.two_body_integrals)\n",
- " qubit_op = Z2Symmetries.two_qubit_reduction(to_weighted_pauli_operator(fer_op.mapping(map_type=qubit_mapping, threshold=1e-10)), 2)\n",
+ " qubit_op = Z2Symmetries.two_qubit_reduction(\n",
+ " op_converter.to_weighted_pauli_operator(fer_op.mapping(map_type=qubit_mapping, threshold=1e-10)), 2)\n",
"\n",
- " if algorithm.lower() == 'exacteigensolver':\n",
- " exact_eigensolver = ExactEigensolver(qubit_op, k=1)\n",
- " result = exact_eigensolver.run()\n",
- " reference_energy = result['energy']\n",
- " elif algorithm.lower() == 'iqpe':\n",
+ " if algorithm == 'NumPyMinimumEigensolver':\n",
+ " eigensolver = NumPyMinimumEigensolver(qubit_op)\n",
+ " result = eigensolver.run()\n",
+ " reference_energy = result.eigenvalue.real\n",
+ " elif algorithm == 'IQPE':\n",
" num_particles = molecule.num_alpha + molecule.num_beta\n",
" two_qubit_reduction = True\n",
" num_orbitals = qubit_op.num_qubits + (2 if two_qubit_reduction else 0)\n",
"\n",
" num_time_slices = 1\n",
" num_iterations = 12\n",
- " state_in = HartreeFock(qubit_op.num_qubits, num_orbitals,\n",
+ " state_in = HartreeFock(num_orbitals,\n",
" num_particles, qubit_mapping, two_qubit_reduction)\n",
" iqpe = IQPE(qubit_op, state_in, num_time_slices, num_iterations,\n",
" expansion_mode='trotter', expansion_order=1,\n",
@@ -70,8 +69,8 @@
"\n",
" result = iqpe.run(quantum_instance)\n",
" else:\n",
- " raise AquaError('Unrecognized algorithm.')\n",
- " return i, distance, result['energy'] + molecule.nuclear_repulsion_energy, molecule.hf_energy"
+ " raise AquaError('Unrecognized algorithm: {}'.format(algorithm))\n",
+ " return i, distance, result.eigenvalue.real + molecule.nuclear_repulsion_energy, molecule.hf_energy"
]
},
{
@@ -93,10 +92,10 @@
" --- complete\n",
"Distances: [0.5 0.525 0.55 0.575 0.6 0.625 0.65 0.675 0.7 0.725 0.75 0.775\n",
" 0.8 0.825 0.85 0.875 0.9 0.925 0.95 0.975 1. ]\n",
- "Energies: [[-1.05422048 -1.07537168 -1.09138907 -1.10507406 -1.11582197 -1.12300239\n",
- " -1.12908795 -1.13331702 -1.13493551 -1.13620458 -1.13628923 -1.13535343\n",
- " -1.13353808 -1.13096422 -1.12773585 -1.12394238 -1.1196608 -1.11495757\n",
- " -1.10989027 -1.10540236 -1.09974169]\n",
+ "Energies: [[-1.04301318 -1.06320142 -1.08046604 -1.09428928 -1.10410788 -1.11248618\n",
+ " -1.11870203 -1.12203285 -1.12480205 -1.12619329 -1.12540821 -1.12460086\n",
+ " -1.12291101 -1.12045975 -1.11735113 -1.11367463 -1.10950729 -1.10491566\n",
+ " -1.10086038 -1.095576 -1.09090328]\n",
" [-1.05515979 -1.07591366 -1.09262991 -1.10591805 -1.11628601 -1.12416092\n",
" -1.12990478 -1.13382622 -1.13618945 -1.13722138 -1.13711707 -1.13604436\n",
" -1.13414767 -1.13155121 -1.12836188 -1.12467175 -1.12056028 -1.11609624\n",
@@ -105,7 +104,7 @@
" -1.11299655 -1.11597526 -1.11734903 -1.11734327 -1.11615145 -1.11393966\n",
" -1.1108504 -1.10700581 -1.10251055 -1.09745432 -1.09191404 -1.08595587\n",
" -1.07963693 -1.07300676 -1.06610865]\n",
- "--- 180.42966175079346 seconds ---\n"
+ "--- 186.6669979095459 seconds ---\n"
]
}
],
@@ -113,7 +112,7 @@
"import concurrent.futures\n",
"import multiprocessing as mp\n",
"\n",
- "algorithms = ['iqpe', 'exacteigensolver']\n",
+ "algorithms = ['IQPE', 'NumPyMinimumEigensolver']\n",
"start = 0.5 # Start distance\n",
"by = 0.5 # How much to increase distance by\n",
"steps = 20 # Number of steps to increase by\n",
@@ -165,7 +164,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -194,7 +193,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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Wv/3tbwCsWrWKuXPnEhMTw4QJE0hOTj5UIhg3btwRy1955RWaNGnCwoULKSgoYMiQIQwfPpz169ezfv16fvjhB1SVyy+/nG+++YazzjrrJ3FOnjyZuXPnAvDAAw9w6623MmbMGJ5//nmGDh3K448/zrhx4/jtH5/h1pvHcM8vfsXtN42i8GABJSUlbN3qWgzmzZvHfffdx8cff3zCtTBBSxzej/69wHQgHHhDVVeKyJNAsqpOA14HJopIKm6M7FHe5mcAj4hIIW5g97tVdbeIdAamemcARADvqKqN0mWMqbCYmBhSUlIOPS5NAuCuMxk5ciTbt2/n4MGDR1zfcPnllxMTE1Pufn2Xz5gxg2XLljFlyhQAsrKyWL9+PTNmzGDGjBn0798fgOzsbNavX19m4vCvqsrKymLfvn0MHToUgDFjxnDVNdcyatsudv+4nbFjRhEmQnh09KFtVq9ezdixY5kxYwbt2rWr8GvlL6htHKr6OfC537zHfabzgRFlbDcRmFjG/DTg5MqP1BgTKscqGYTCfffdx4MPPsjll1/OnDlzGDdu3KFlDRo0OOq2vstVleeff54LLrjgiHWmT5/Oo48+yh133HHE/BdeeIFXX30VIKBG95ISJWNvHkUlSsuGUYSHCWFlnFrbtm1b8vPzWbJkSaUkDuuryhhj/GRlZREX504CffPNN8tdr1GjRhw4cKDc5RdccAEvvvgihYWFAKxbt46cnBwuuOAC3njjDbKzswHIyMhg586d3HPPPaSkpJCSklLuD3yTJk1o1qwZc+Z8TdruHCa9+zZDhw6lS3wr4uPj+eijjwAoKCggNzcXgKZNm/LZZ5/x6KOPMmfOnAq/Hv4scRhjjJ9x48YxYsQIBg4cSIsWZQ5JAcDZZ5/NqlWrDjWO+/v5z39Or169GDBgAL179+aOO+6gqKiI4cOHM3r0aE477TT69OnDtddee9QE5O+119/gF796iIuHDmLL+lX85Y9/AGDixIn861//om/fvpx++uns2LHj0DatW7fm008/5Z577mHBggUVeDV+qk6MOZ6UlKQ2kJMx1cfq1avp2bNnqMOokfIOFrExMxdVJSG2AQ2iKqfFoaz3REQWqWqS/7rV9joOY4wxR8rOL2RzZi5hYULnlg2JjgwPSRyWOIwxpgbYl3uQrXvziIoIIyG2AfUiQtfSYInDGGOquV0HCtielUeDqAg6xtYnIiy0zdOWOIwxpppSVbZn5bM7u4AmMZG0b1afsLDQ9ypsicMYY6qhkhJl695csvIKadEwirZNoqtNV/SWOIwxppopLC5hc2YuuQeLaNskmhYNo6pN0gC7jsMYU0f5dqu+cuVKzjnnHLp3705iYiJPPPEEJSUlwJFdm/fq1evQld3+XZ7369ePVatWlflcFZFfWMyGXdnkFxbTsXl9WjaqPiWNUpY4jDF1Wl5eHpdffjmPPPIIa9euZfny5fzwww/885//PLTOyJEjSUlJYc6cOfz2t7891Ftu6fzSW69evU4oluz8QjbsyqakBDq3bECT+vVOaH/BYonDGFOnvfPOO4d6rQWoX78+48eP57nnnvvJuq1atSIxMZHNmzdXehx7cgrYuDuXyPAwurRqQP161bclofpGZoypG754BHYsr9x9tukDFz0d0KorV65k4MCBR8xLTEwkLy+Pffv2HTE/LS2NtLQ0unTpwqpVq47o8hxg/vz5R+05tyyqyo79+ew6UEBD73Tb8BCfbnssljiMMeYYShNEVFQUL7/8Ms2bNwcqPjqfP98zp5o3qEdc05hq155RFkscxpjQCrBkECy9evXim2+OHH06LS2N2NhYmjZtCpx4gijLkWdOxdCiYb0akTTA2jiMMXXcDTfcwNy5c5k5cybgGsvvv/9+/vCHPwTtOfMLi9mw0ztzKrYBLRtVr9Ntj8UShzGmTouJiWHatGn86U9/olu3brRo0YIhQ4Zwww03HHPb0vHGS2/z5s075jYH8gvZsDObErwzp2IiK+EoqpZ1q26MqXLVuVv1jz76iAcffJDZs2fTsWPHSt13ZnYB2/blExUZ+o4K/VWkW/XqE7UxxlQDV155JWlpaZWaNFyfU3lk7MujYXQEiS2rV9KoKGscN8aYIPI9cyq2QRTtmla/K8EryhKHMSYkVLXG/4Aey8GiEjZn5pBXWFytz5yqaJNFzS0rGWNqrOjoaDIzMyv8g1WT5BQUkborm4KiEhKq8ZlTqkpmZibR0dEBb2MlDmNMlYuPjyc9PZ1du3aFOpSgyD1YxN7cQsJFiG1Yj4z9YWSEOqijiI6OJj4+PuD1LXEYY6pcZGQknTp1CnUYla6ouISnv1jDa3O3cHpiLC+MHkCzBtWzo8ITYYnDGGMqQVZuIfe+u5hv1+/mltMTeOySnkSG187WAEscxhhzglJ3ZnP7W8mk783lL1f34fpTO4Q6pKCyxGGMMSdg9pqd3P/uEupFhPHO7YM5JaF5qEMKOkscxhhzHFSVl79J45kv19CzTWNevTmJuKYV61K9prLEYYwxFZRfWMwjHyzjo5RtXNKnLc+N6FutB16qbHXnSI0xphLsyMpn7MRklqVn8dDwbtxzdpdqeX1GMFniMMaYAC3Zspc7Ji4ip6CIV24ayPCT2oQ6pJAI6rliInKhiKwVkVQReaSM5VEiMtlbvkBEErz5p4pIindbKiJXBbpPY4wJhg8WpTPyle+Jigzjw7uH1NmkAUEscYhIOPACcD6QDiwUkWmquspntduAvaraRURGAc8AI4EVQJKqFolIW2CpiHwCaAD7NMaYSlNUXMIzX67h1W83clrnWP59Q+28qK8iglniOBVIVdU0VT0ITAKu8FvnCuBNb3oKcK6IiKrmqmqRNz8alzAC3acxxlSK3dkFjHnjB179diNjTuvIW7edWueTBgS3jSMO2OrzOB0YVN46XukiC4gFdovIIOANoCNwk7c8kH0CICJjgbEAHTrU7otxjDGVb8mWvdz99mL25BzkuWv7MiKpfahDqjaq7fXwqrpAVU8CTgEeFZHAu25027+iqkmqmtSyZcvgBGmMqXVUlf9+v5nrXp5PeJjwwV2nW9LwE8wSRwbg+2rHe/PKWiddRCKAJkCm7wqqulpEsoHeAe7TGGOOS35hMY9NXcEHi9MZ2q0l/xzVj6b1rWrKXzATx0Kgq4h0wv24jwJG+60zDbgZmA9cC8xSVfW22epVT3UEegCbgH0B7NMYYyps655c7pi4iFXb9/PAuV154NyuhIXVreszAhW0xOH96N8LTAfCgTdUdaWIPAkkq+o04HVgooikAntwiQDgDOARESkESoC7VXU3QFn7DNYxGGPqhtlrd/KLSSmoKm/cksQ5PVqHOqRqTWrzCFylkpKSNDk5OdRhGGOqmZIS5flZqfzjf+vo0aYxL904gI6xDUIdVrUhIotUNcl/vl05boypk7JyC/nleynMWrOTq/vH8aer+hBTLzzUYdUIljiMMXXOqm37ufO/i9ielccfrziJGwd3rHP9TZ0ISxzGmDpl6pJ0Hv1wOU1iIpk09jQGdmwW6pBqHEscxpg64WBRCU99toq35m9mUKfmjB89gJaNokIdVo1kicMYU+ttz8rjnrcXs3jLPsae1ZlfX9CdiFo6HnhVsMRhjKnVZq/dyYOTUzhYVMILowdwSd+2oQ6pxrPEYYyplQqLS/jbjHW89PUGerRpxAs3DCCxZcNQh1UrWOIwxtQ62/blcd+7S1i0eS+jB3Xg8Ut7ER1pp9pWFkscxphaZdaaH3nwvaUUFpXwz1H9uKJfXKhDqnUscRhjaoXC4hL+On0tL3+TRs+2jXlhdH86W9VUUFjiMMbUeBn78rjvHXfW1I2DO/C7S6xqKpgscRhjarSZq37kV+8vpbhEGT+6P5f2bRfqkGo9SxzGmBqpsLiEZ72xwE9q15gXRg8goYV1UFgVLHEYY2qc9L253PfuEpZs2cdNgzvy2CU9rWqqClniMMbUKF+t+pGHvKopu6AvNCxxGGNqhINFrmrqtbkb6R3XmPHXW9VUqFjiMMZUext35/DApCUsS8/i5tM68ttLehIVYVVToWKJwxhTbakq7yenM+6TlUSGh/HSjQO4sLdVTYWaJQ5jTLWUlVvIb6cu57Pl2zmtcyx/H3kybZvEhDosgyUOY0w1tCAtk19OTmHngQJ+c2EPxp7VmfAwG6GvurDEYYypNgqLS/jHzHX8e84GOjavzwd3nc7J7ZuGOizjxxKHMaZa2JyZw/2TUli6dR/XJcXzxGUn0SDKfqKqI3tXjDEhpap8sDiDJz5eQXiY2LUZNYAlDmNMyGTlFfLY1OV8umw7p3Zqzv+N7EdcU2sAr+4scRhjQuKHjXv45eQUduzP5+ELunPn0ERrAK8hLHEYY6pUUXEJ//rfesbPTiW+WX2m3Hka/Ts0C3VYpgIscRhjqsyWzFx+MXkJi7fs45oB8fzhipNoaA3gNY69Y8aYoFNVJi3cylOfriIsTPjX9f25/GQbN6OmssRhjAmqnfvz+c0Hy5i9dhendY7luRF9iW9WP9RhmRNgicMYEzSfLN3G7z9eQd7BYsZd1osxpyUQZg3gNZ4lDmNMpdubc5Dff7yCT5dt5+T2Tfn7dSeT2LJhqMMylSQsmDsXkQtFZK2IpIrII2UsjxKRyd7yBSKS4M0/X0QWichy7/4cn23mePtM8W6tgnkMxpiKmb1mJ8P/8Q1frtjBQ8O78cGdp1nSqGWCVuIQkXDgBeB8IB1YKCLTVHWVz2q3AXtVtYuIjAKeAUYCu4HLVHWbiPQGpgNxPtvdoKrJwYrdGFNx2QVFPPXpKiYt3Er31o2YcOspnNSuSajDMkEQzKqqU4FUVU0DEJFJwBWAb+K4AhjnTU8BxouIqOoSn3VWAjEiEqWqBUGM1xhznL5Py+Sh95eybV8edw5N5Jfnd7WBlmqxYCaOOGCrz+N0YFB566hqkYhkAbG4Ekepa4DFfknjPyJSDHwAPKWq6v/kIjIWGAvQoUOHEzwUY0xZ8guL+ev0tbz+3UY6NK/Pe3ecRlJC81CHZYKsWjeOi8hJuOqr4T6zb1DVDBFphEscNwFv+W+rqq8ArwAkJSX9JLEYY07MsvR9PPjeUlJ3ZnPj4A48elFP6822jgjmu5wBtPd5HO/NK2uddBGJAJoAmQAiEg9MBcao6obSDVQ1w7s/ICLv4KrEfpI4jDHBUVhcwvhZqYyfnUrLhlG89bNTOatby1CHZapQMBPHQqCriHTCJYhRwGi/daYBNwPzgWuBWaqqItIU+Ax4RFW/K13ZSy5NVXW3iEQClwIzg3gMxhgfq7fv59dTlrE8I4ur+scx7rKTaFI/MtRhmSoWUOIQkQ+B14EvVLUkkG28Not7cWdEhQNvqOpKEXkSSFbVad4+J4pIKrAHl1wA7gW6AI+LyOPevOFADjDdSxrhuKTxaiDxGGOO38GiEsbPTuXfs1NpWj+SF28YwEV9bMyMukrKaFf+6Uoi5wG3AoOB94H/qOraIMdWaZKSkjQ52c7eNeZ4LN26j19PWcbaHw9wVf84Hr+0F80a1At1WKYKiMgiVU3ynx9QiUNVZwIzRaQJcL03vRX3b/+/qlpYqdEaY0Iuv7CYv3+1jte+TaNVo2jeuCWJc3q0DnVYphoIuI1DRGKBG3FnMS0B3gbOwLVRDAtGcMaY0Phh4x5+88EyNu7O4fpT2/PoxT1pHG1tGcYJtI1jKtAdmIi7onu7t2iyiFgdkDG1RHZBEc9+uYa35m+mffMY3vn5IE7v0iLUYZlqJtASx79UdXZZC8qq/zLG1DzfrNvFox8uZ1tWHrcOSeDhC7pTv55dl2F+KtBPRTMRudpvXhawXFV3VnJMxpgqlJVbyFOfreL9Rel0btmAKXeexsCOdvW3KV+gieM24DSgtNQxDFgEdBKRJ1V1YhBiM8YE2YyVO3jsoxXsyTnI3cMSuf/crkRHWh9T5ugCTRyRQE9V/RFARFrjrtYeBHyDa/swxtQQmdkFPDFtJZ8u206PNo34zy2n0DvOerI1gQk0ccSXJg3PTqC9qu4RETsV15gaQlX5cHEGf/p8NQfyC3nw/G7cOTSRehFBHZrH1DKBJo45IvIp7uI/cD3WzhGRBjLtWkcAACAASURBVMC+oERmjKlUabuy+d1HK5i3IZP+HZryzDV96da6UajDMjVQoInjHuBq3HUb4KqpPvC6Mz87GIEZYypHQVExL81J44XZqURFhvHUlb0ZfWoHG/vbHLdjJg5vJL+Zqno2rhtzY0wN8X1aJr+dupy0XTlc2rctj1/ai1aNo0Mdlqnhjpk4VLVYREpEpImqZlVFUMaYE7M35yB//nw17y9KJ75ZDP+59RTO7t4q1GGZWiLQqqpsYLmIfIXroRYAVb0/KFEZY46Lb+P3/rxC7hyayAPndiWmnp1iaypPoInjQ+9mjKmm0nZl89jUFcxPy2RAh6b8+eo+9GjTONRhmVoo0N5x3xSRGKBDTepO3Zi6oKComBfnbODfszcQFRnGn67qzfWnWOO3CZ5AOzm8DPgrUA93tXg/4ElVvTyYwRljjm7+hkwe+8g1fl92cjt+f2lPWjWyxm8TXIFWVY3Dje09B0BVU0Skc5BiMsYcw56cg/zFa/xu3zyGCbeewjBr/DZVJNDEUaiqWSJHFH0DGkLWGFN5ikuUd37Ywl+nryWnoIi7hiVy/znW+G2qVqCJY6WIjAbCRaQrcD8wL3hhGWP8Ldq8l8c/XsHKbfsZ3Lk5T17R2678NiERaOK4D3gMKADeBaYDfwxWUMaYw3ZnF/D0F2uYsiidNo2jef76/lzaty1+NQDGVJlAz6rKxSWOx4IbjjGmVFFxCf/9fjN/+2od+YXF3DG0M/ef05UGUTa4kgmtQM+q6gY8BCT4bqOq5wQnLGPqth827uHxj1ewZscBzuzagicuO4kurRqGOixjgMCrqt4HXgJeA4qDF44xddvO/fn85Ys1TF2SQbsm0bx4wwAu7N3GqqVMtRJo4ihS1ReDGokxdVhhcQlvztvEP2au52BRCfee3YW7z060Mb9NtRTop/ITEbkbmIprIAdAVfcEJSpj6pD5GzJ5YtoK1v2YzbDuLXnispPo1KJBqMMyplyBJo6bvfuHfeYpYBcBGnOcdmTl86fPV/PJ0m3EN4vhlZsGcn6v1lYtZaq9QM+q6hTsQIypK/IOFvPKN2m89PUGilV54Nyu3DUskehIu4jP1AxHTRwi8mtVfdabHqGq7/ss+7Oq/jbYARpTW6gq05Zu4+kv1rA9K5+L+7Th0Yt60r55/VCHZkyFHGuE+lE+04/6LbuwkmMxptZavGUvV784jwcmpRDbsB6Txw7m3zcMtKRhaqRjVVVJOdNlPTbG+Nm2L49nvlzDxynbaNkoiueu7cs1A+Kty3NTox0rcWg502U9NsZ4cg8W8dLXabzyzQZKFO49uwt3DUu0q75NrXCsT/HJIrIfV7qI8abxHh+z038RuRD4JxAOvKaqT/stjwLeAgYCmcBIVd0kIucDT+PG/zgIPKyqs7xtBgITgBjgc+ABVbUkZqqFkhLlo5QMnvlyDT/uL+DSvm155KIexDezKilTexw1cajqcZ/mISLhwAvA+UA6sFBEpqnqKp/VbgP2qmoXERkFPAOMBHYDl6nqNhHpjetUMc7b5kXgdmABLnFcCHxxvHEaU1mSN+3hyU9XsSw9i5Pjm/DC6AEkJTQPdVjGVLpglptPBVJVNQ1ARCYBVwC+ieMK3CBRAFOA8SIiqrrEZ52VuNJOFNAcaKyq33v7fAu4EkscJoTS9+by9Bdr+HTZdlo3juLv153Mlf3irB3D1FrBTBxxwFafx+nAoPLWUdUiEckCYnEljlLXAItVtUBE4rz9+O4zjjKIyFhgLECHDh1O4DCMKdv+/EJe/noDr367kTCB+8/typ1DO1s3IabWq9afcBE5CVd9Nbyi26rqK8ArAElJSdYGYirNwSLX3fnzs9azN7eQK/q14zcX9qBd05hQh2ZMlQhm4sgA2vs8jvfmlbVOuohEAE1wjeSISDyub6wxqrrBZ/34Y+zTmKAoKVE+Xb6d56avYeuePE5PjOXRi3rSJ75JqEMzpkoFM3EsBLqKSCfcj/soYLTfOtNw/WDNB64FZqmqikhT4DPgEVX9rnRlVd0uIvtFZDCucXwM8HwQj8EYAOal7uYvX6xheUYWPdo0YsKtpzC0W0vrV8rUSUFLHF6bxb24M6LCgTdUdaWIPAkkq+o04HVgooikAns4fKX6vUAX4HERedybN1xVdwJ3c/h03C+whnETRKu37+fpL9bw9bpdtGsSzV9HnMxV/eMIt4ZvU4dJXbgEIikpSZOTk0MdhqlBMvbl8fcZ6/hwSTqNoiK45+wu3Hx6gnVEaOoUEVmkqkn+86t147gxVS0rt5B/z0nlP/M2AXD7mZ25e1giTevXC21gxlQjljiMAfILi3lr/iZemL2B/fmFXNU/jgfP72ZXfBtTBkscpk4rLlE+TsngbzPWkbEvj7O6teSRC3vQq13jUIdmTLVlicPUSarKlyt28Pev1rF+Zza94xrz7LV9GdKlRahDM6bas8Rh6hRVZc66XfxtxlpWZOync8sGjB/dn4t7t7UuQowJkCUOU2fM35DJ32asJXnzXuKbxfDXESdzZb92RIQfazwzY4wvSxym1luyZS9/m7GOuam7ad04ij9e2ZuRSe2pF2EJw5jjYYnD1Fqrtu3n71+tZebqnTRvUI/fXdKTGwd3tGsxjDlBljhMrbNhVzb/99U6Pl22nUbREfzq/G7cekYnGtroe8ZUCvsmmVpj655c/vm/9Xy4OJ3oyHDuOTuRsWcm0qR+ZKhDM6ZWscRharztWXn8e/YGJi3cgohw65BO3DUskRYNo0IdmjG1kiUOU2Nl7MvjxTmpvLcwnRJVrjulPfed04W2TWxcDGOCyRKHqXG27snl33M2MGWRG2Dy2oHtuXtYIu2bW/cgxlQFSxymxtiSmcsLs1P5YHE6YSKMPKU9dw3rQpyNvGdMlbLEYaq9TbtzGD87lalLMggPE24Y1IE7hyValZQxIWKJw1RbabuyGT8rlY9SMogMD2PMaR25c2girRtHhzo0Y+o0Sxym2kndeYDnZ6XyydJt1IsI42dDOjF2aGdaNbKEYUx1YInDVBtrdxzg+Vnr+Wz5dqIjwrn9zM7cflZnO63WmGrGEocJuaVb9/HinA18uXIHDeqFc+fQRH5+RidiLWEYUy1Z4jAhoarMTd3Ni3M2MG9DJo2jI7jvnC78bEgnmjWwYVqNqc4scZgqVVyiTF+5gxfnbGB5RhatGkXx24t7MHpQR+tLypgawr6ppkoUFBUzdXEGL3+TxsbdOXRq0YCnr+7DVQPiiIqw3mqNqUkscZigyi4o4t0FW3htbho/7i+gd1xjXhg9gAt7tyHcRtwzpkayxGGCIjO7gDfnbeLN+ZvJyivk9MRY/jriZM7o0gIRSxjG1GSWOEylSt+by2vfbmTSwi3kF5ZwwUmtuXNoIv07NAt1aMaYSmKJw1SKlduyeO3bjXyydBsAV/WP446hnenSqlGIIzPGVDZLHOa4lZQoc9bt5NVvNjI/LZMG9cIZc1oCPz+zE+2s40Fjai1LHKbC8guL+XBxBq/PTWPDrhzaNonm0Yt6MOrUDjSJsdH2jKntLHGYgO06UMDE7zfz3+83syfnIL3jGvPPUf24uE9bIsPDQh2eMaaKWOIwx7TuxwO89m0aHy3ZRmFJCef2aM3Pz+zEoE7N7QwpY+ogSxymTKVdgrz67Ua+WbeL6Mgwrjslnp8N6UTnlg1DHZ4xJoSCmjhE5ELgn0A48JqqPu23PAp4CxgIZAIjVXWTiMQCU4BTgAmqeq/PNnOAtkCeN2u4qu4M5nHUJQVFxUxL2cbrczeyZscBWjaK4qHh3bhhUEfrQ8oYAwQxcYhIOPACcD6QDiwUkWmquspntduAvaraRURGAc8AI4F84PdAb+/m7wZVTQ5W7HXRj/vzeXvBFt5ZsIXd2QX0aNOI567ty+X92lmXIMaYIwSzxHEqkKqqaQAiMgm4AvBNHFcA47zpKcB4ERFVzQHmikiXIMZX56kqizbvZcK8TXy5YgfFqpzdvRW3DkmwK7yNMeUKZuKIA7b6PE4HBpW3jqoWiUgWEAvsPsa+/yMixcAHwFOqqv4riMhYYCxAhw4djusAaqv8QlcdNWHeJlZt30+j6AhuOT2Bm07rSMfYBqEOzxhTzdXExvEbVDVDRBrhEsdNuHaSI6jqK8ArAElJST9JLHVR+t5cJn6/mckLt7Ivt5DurRvx56v6cGX/dtSvVxM/CsaYUAjmr0UG0N7ncbw3r6x10kUkAmiCayQvl6pmePcHROQdXJXYTxKHcVSVeRsyeXPeJmau/hERYXiv1ow5LYHBne10WmNMxQUzcSwEuopIJ1yCGAWM9ltnGnAzMB+4FphVVrVTKS+5NFXV3SISCVwKzAxG8DVdTkERHy5O5835m0ndmU3zBvW4c2giNw7uaN2BGGNOSNASh9dmcS8wHXc67huqulJEngSSVXUa8DowUURSgT245AKAiGwCGgP1RORKYDiwGZjuJY1wXNJ4NVjHUBOl7jzA2wu2MCU5nQMFRfSJa8JfR5zMpX3bEh1pZ0cZY06cHOUPfq2RlJSkycm19+zdgqJivlyxg7cXbOGHjXuIDBcu7tOWm09PoH/7plYdZYw5LiKySFWT/Odbi2gNlrYrm3d/2MKURenszS2kQ/P6/ObCHoxIiqdFw6hQh2eMqaUscdQwB4tKmL5yB+8s2ML8tEwiwoTze7Vm9KAODElsQZgNx2qMCTJLHDXE5swc3vnBtV1k5hwkvlkMD1/QnRED42nVODrU4Rlj6hBLHNVYYXEJM1f9yNsLtjA3dTfhYcK5PVoxelAHzuzaknArXRhjQsASRzW0OTOH95K38l5yOrsOFNCuSTS/PK8bI09pT5smVrowxoSWJY5qIvdgEV8s38F7yVtZsHEPYQJnd3eli2HdW1npwhhTbVjiCCFVZfGWfbyfvJVPl20nu6CIjrH1eWh4N64eEG8X6hljqiVLHCGwc38+Hy7J4P3krWzYlUNMZDiX9G3LiIHxnGqj6hljqjlLHFXkYFEJs9bs5P3krcxZt4viEiWpYzOevSaRi/u2pWGUvRXGmJrBfq2CbM2O/byfnM7UJRnsyTlIq0ZRjD2rM9cOjCfRhmA1xtRAljiCIDO7gM+Wb2fKonSWpWcRGS6c17M11yW158yuLYgIDwt1iMYYc9wscVSS/MJiZq7+kamLM1i0bjNDWMq5TYq58dyLOe/0U2lu43UbY2oJSxwnoKRE+T4tk6lLMli1YjGDixZyV72l9I9aTbgWQx7w3Quwtht0OR+6ng8dT4cI60fKGFNzWeI4Dmt27OfjRZtIT/kfJ+ct4J7wFBJkO0SCtuyFdLsful0I9WMhdSas/woWvgbfvwCRDaDzUJdEupwPTdsf+wmNMaYascQRoB1Z+cxYuJxdiz+jx4HvuCdsOQ0lj+J69aDTWdD9V9B1ONKs45EbtugKg++Cgzmw8VtI/QrWz4C1n7vlLXtC1/Og63BoPxgirErLGFO92XgcR5GdX8j8eXPYl/IJifu+o59sIEyU3KiWhHW/kOheF7vSQ70GFduxKuxe7xJI6lew6TsoKYR6jY4sjTSJq3DMJ0QVMlMhpjk0iK3a5zbGVDvljcdhiaMcWlLChj/2o4tuBmB7w5OI7nURzfpdBm1Phsq8SK8gGzZ+4xLJ+q9gf7qb36oXdDkXupwHHU4LTttIwQFIm+Oed/1XcGAbINCmj0tinYe5565ocjTG1HiWOI6jxLHyw6dp0LgZHQddgTRqE4TIyqAKu9Z4pZH/wZb5UHwQIutDwpkuiXQ5F2ITT2D/aw+XdjbPP1zaSTwbEs+BnN0umWxd4JaFRUL7QYcTSbsBEG61nMbUdpY4aurQsQdzYNNc18ieOhP2pLn5zRK8JHKeSyhRR7mY8GCOT4lmJmRtcfNb9TpcLdZhMIRH/nS7LfMh7WuXSHYsB9QlmYQzDieSlj0qtwRWUSUlsD8DGreDMBtX3ZjKYomjpiYOf3vSXEkk9X8uGRTmuBJBh8GHE0nrkyBzg5coZsDm77xSSwP3Q9/VOzW4SXzFnjsnEzZ9cziR7N3o5jdsDZ2GukTSaWjVnClWmO+Of+1nsPYLyP7RJbR2/SBuIMQnufvG7YIfy/EozHfvTVa6+xPQvLO7j7Ru8031YYmjtiQOX0UFrjopdaZLJD+ucPPrNYSD2W66RffDiaKy20n2boaNX7tEsvFryNnl5jftAB3PgIQhrmTStGPllEhy97gf2zWfueMtzHHHWtoGlJkKGcmwY4WrYgNo1A7iBhxOJu36Q1SjE4/leJSUwOa5sGwyrPoECrL8VhCX6EqTSPPO0LyT97gTRDcORdSmDrPEURsTh7/922HDLEj/AVr3dsmiWULVPLcq7FzlTjnePBc2z4PcTLescfzhJNJxiPshDDSR7N3sTl1e85nbpxZDwzbQ/SLocYk7Fdo/GRbmu2q1jEXeLflwFR/iqtbiBkL8QHffqtdPq+kqi6qLZfl7sPwDd/JBvYbQ8zLoMwLa9IV9m2HPRhfjXu9+T9rhRFyqfgu/ZJIAjeNcsmnUFurVD84xmDrLEkddSBzVSUmJa+Tf/J1ro9n83eEfwkZtDyeRhDMgtsvhRKIK25ceThalpaiWPVyi6H6JKzWEVbC/r9w9kLH4yGRSmtgiYlz1Xps+3q0vtO51YmeS7dsCy9+HZe/DrtUQFuFKRn1GQPeLA/uRLzjgEsqhZFKaXDa5Ki78vrsxzY5MJKXTvreoxqFtjzI1iiUOSxyhpQq71x1OIpu+g+wdblnD1i6JxDSDddPd6cgS5i6I7HGx+6E93rPIjhbPvs0uiaQvgh3LXMkgf5+3griE1rbvkQmlYavy95m7B1Z95JLFlnluXvvB0HcE9Lqqcq+NKcyHrK2wf5u7Hdh2eHp/hrv3L7GAK+2UJpYGLdw1O/Vjob53H9PsyMeR9etmoikphvws93nI2wsHc137WaiqOUPEEocljupF1TXgb57rksimue4LmniOK1l0u8D9sFV1TFlbXQI5dFvmSg+lGrZ2CaQ0mbTuDTtXumSxfoZrW2nR3SWLPiOqrqqwLEUFcGDH4WRyYLtPYtnuSlx5eyBvHz8pvZQKjyo7qUQ1ckklsr4rPUU28O6PMi8iKnhJSNUdb3GBuy+9FRdAUT4UHYTCXJ9ksO9wUjg0XXqfVUb7E65k2vMyOHmUO8mkDpzBZ4nDEkf1pgpaUj2/jHl7XYO7b0LZtRpKig6v07AN9LkW+l7nEktN+pdeUux+NEsTSW6mKz0d8XjvkY8P5rgf5IqQMJdMwiPd9E9u4t385uMzDz2cCIry3dmCpfcVFV7PJcPophDTtPz7mGauqnHNZ7DyQ5d8GrV17/XJ10OrnhV/7hrCEoclDlOZigpcG86PK13VT8KZ1TPpBVNJsfsXfzDXneF2MBcK83ymc12CKcz1WS/X/ciX/lE4dPMe4z/ffzkQEe1KLxFRrkQUEVXO42iXHCKiXR9wETEQ3eRwUoiMqXiCL8yHdV/C0knuAtqSIteTxMnXQ+9roWHLSn+ZQ8kShyUOY0xlyt4FKz6Ape/C9hSQcHcm48mjoNtFFbsmp7jQnUGYmQqZ69397lR3H17PXSOVeDZ0Glal/chZ4rDEYYwJlp2rXSlk2WTXlhTVBHpf5Uoi7Qe5ko0qZO/0SQzrXTtf5np3ppxv1WdMc9ezdmwXKNjvLnbNzwLENdJ39roHaj8oqD1qW+KwxGGMCbaSYncx7NJJsPoTVzXXrJOrHsvc4JJAqfAod7ZgbBd3K00UsV3cCQi+iotcqWbDLO9arYUu0UQ2cNdIJZ7jkknL7pXavmaJwxKHMaYqFRxwyWPFBy6h+CaG2C7QpH3Fr0cqlb/fnYm4YRakzXYlGHA9JSSe46q1Og874TMTQ5I4RORC4J9AOPCaqj7ttzwKeAsYCGQCI1V1k4jEAlOAU4AJqnqvzzYDgQlADPA58IAe4yAscRhjarV9W2DDbC+RzDl8PVKbvnDT1ONOIOUljqD1jS0i4cALwPlAOrBQRKap6iqf1W4D9qpqFxEZBTwDjATygd8Dvb2brxeB24EFuMRxIfBFsI7DGGOqvaYdYODN7lZSfLhaa1uKu/amkgVzUIVTgVRVTQMQkUnAFYBv4rgCGOdNTwHGi4ioag4wV0S6+O5QRNoCjVX1e+/xW8CVWOIwxhgnLNz1wRY3MHhPEbQ9Qxyw1edxujevzHVUtQjIAo6WHuO8/RxtnwCIyFgRSRaR5F27yuh6wRhjzHEJZuIIKVV9RVWTVDWpZcvadVGOMcaEUjATRwbgO6JPvDevzHVEJAJogmskP9o+fUcfKmufxhhjgiiYiWMh0FVEOolIPWAUMM1vnWnAzd70tcCso50hparbgf0iMlhEBBgDfFz5oRtjjClP0BrHVbVIRO4FpuNOx31DVVeKyJNAsqpOA14HJopIKrAHl1wAEJFNQGOgnohcCQz3zsi6m8On436BNYwbY0yVsgsAjTHGlKm86zhqbeO4McaY4LDEYYwxpkLqRFWViOwCNh/n5i2A3ZUYTk1gx1w31LVjrmvHCyd2zLsBVPVC/wV1InGcCBFJLquOrzazY64b6tox17XjheAds1VVGWOMqRBLHMYYYyrEEsexvRLqAELAjrluqGvHXNeOF4J0zNbGYYwxpkKsxGGMMaZCLHEYY4ypEEscHhG5UETWikiqiDxSxvJbRGSXiKR4t5+HIs7Kcqzj9da5TkRWichKEXmnqmOsbAG8x//n8/6uE5F9oYizMgVwzB1EZLaILBGRZSJycSjirEwBHHNHEfmfd7xzRCS+rP3UFCLyhojsFJEV5SwXEfmX93osE5EBJ/ykqlrnb7hOGDcAnYF6wFKgl986twDjQx1rFR5vV2AJ0Mx73CrUcQf7mP3Wvw/XMWfIYw/y+/wKcJc33QvYFOq4q+CY3wdu9qbPASaGOu4TPOazgAHAinKWX4zrDFaAwcCCE31OK3E4h4a5VdWDQOkwt7VVIMd7O/CCqu4FUNWdVRxjZavoe3w98G6VRBY8gRyz4nqhBjcezrYqjC8YAjnmXsAsb3p2GctrFFX9Bte7eHmuAN5S53ugqTcM93GzxOEEMswtwDVeUW+KiLQvY3lNEcjxdgO6ich3IvK9iPyk24EaJtD3GBHpCHTi8I9LTRXIMY8DbhSRdOBzXEmrJgvkmJcCV3vTVwGNRORoQ1bXdAF/9gNliSNwnwAJqtoX+Ap4M8TxBFsErrpqGO7f96si0jSkEVWdUcAUVS0OdSBV4HpggqrG46o0JopIbf9deAgYKiJLgKG4UUTrwntdaWr7ByRQxxzmVlUzVbXAe/gaMLCKYguGQIb1TQemqWqhqm4E1uESSU0VyDGXGkXNr6aCwI75NuA9AFWdD0TjOsarqQL5Lm9T1atVtT/wmDevxp8IcRQV+ewHxBKHc8xhbv3qBC8HVldhfJUtkGF9P8KVNhCRFriqq7SqDLKSBXLMiEgPoBkwv4rjC4ZAjnkLcC6AiPTEJY5dVRpl5Qrku9zCp1T1KPBGFcdY1aYBY7yzqwYDWeqG4T5uQRs6tibRwIa5vV9ELgeKcA1Rt4Qs4BMU4PFOB4aLyCpcMf5hVc0MXdQnJsBjBvdDM0m901FqsgCP+Ve4ashf4hrKb6nJxx7gMQ8D/iIiCnwD3BOygCuBiLyLO6YWXlvVE0AkgKq+hGu7uhhIBXKBW0/4OWvwZ8QYY0wIWFWVMcaYCrHEYYwxpkIscRhjjKkQSxzGGGMqxBKHMcaYCrHEYWokEckOYJ1fiEj9SnzOK0WkVyXub94JbJvt3bcTkSlHWa+piNx9vM9jTFkscZja7BdAhRKHiIQfZfGVuA7yKoWqnl4J+9imqtceZZWmgCUOU6kscZgaTUSGeWMqTBGRNSLytneF7P1AO2C2iMz21h0uIvNFZLGIvC8iDb35m0TkGRFZDIwQkdtFZKGILBWRD0Skvoicjusx4DlvvI5EEenndQC5TESmikgzb39zxI3tkSwiq0XkFBH5UETWi8hTPrFn+0z/RkSWe8/5dBnH2cmLfbnfPhJKx2EQkZNE5AcvvmUi0hV4Gkj05j0nIg3FjUWx2NvXFT77WS0ir4obf2WGiMR4y7qIyEwvtsUikujNf9h7nZaJyB8q9Y011Vuo+5K3m92O5wZke/fDgCxc/zthuK5CzvCWbQJaeNMtcFcJN/Ae/wZ43Ge9X/vsO9Zn+ingPm96AnCtz7JlwFBv+kngH970HOAZb/oBXFflbYEoXB9gsX7HcBEwD6jvPW5exvFOA8Z40/f4bJuANw4D8DxwgzddD4jxXe7NjwAa+7wmqbhxGhJwvSL085a9B9zoTS8ArvKmo3GluOG4sTzEe90/Bc4K9efCblVzsy5HTG3wg6qmA4hICu5HcK7fOoNx1UzfiQi4H1bf/qgm+0z39v7VNwUa4rqvOIKINAGaqurX3qw3cQMElSrtwmQ5sFK9voFEJA3X4Zxv9y3nAf9R1VwAVS1rbIUhwDXe9ETgmTLWmQ88Jm5Euw9Vdb13rEeEDvxZRM4CSnDda7f2lm1U1RRvehGQICKNgDhVnerFlu8dx3Bc8ljird8Q1wnmN2XEZWoZSxymNijwmS6m7M+1AF+p6vXl7CPHZ3oCcKWqLhWRW/A6ezzOmEr84ispJ75AHLV/IFV9R0QWAJcAn4vIHfy0Y8obgJbAQFUtFJFNuFKEb8zgXseYozydAH9R1ZcrEL+pJayNw9RmB4BG3vT3wBAR6QIgIg1EpFs52zUCtotIJO6H9if7U9UsYK+InOktuwn4muPzFXBr6RlgItK8jHW+w3XAiF9Mh4hIZyBNVf8FfAz05cjXANwofzu9pHE20PFoganqASBdRK70niPKi3M68DOfdqI4EWkV0NGaGs8Sh6nNXgG+FJHZqroL16PxuyKyDFet06Oc7X6Pq9f/DljjM38SRjcwJQAAAJtJREFU8LCILPEaiG/GNZYvA/rh2jkqTFW/xFVtJXtVbQ+VsdoDwD0ispzyR2+7Dljh7aM3brjQTFz13AoReQ54G0jy9jPG7/jKcxOud+hluLaYNqo6A3gHmO/tawpHJihTi1nvuMYYYyrEShzGGGMqxBKHMcaYCrHEYYwxpkIscRhjjKkQSxzGGGMqxBKHMcaYCrHEYYwxpkL+H6BZZN9sdduhAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
@@ -210,7 +209,7 @@
"pylab.plot(distances, np.subtract(energies[0], energies[1]), label='IQPE')\n",
"pylab.xlabel('Interatomic distance')\n",
"pylab.ylabel('Energy')\n",
- "pylab.title('Energy difference from ExactEigensolver')\n",
+ "pylab.title('Energy difference from NumPyMinimumEigensolver')\n",
"pylab.legend(loc='upper right')\n",
"pylab.show()"
]
@@ -232,7 +231,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.6"
+ "version": "3.7.4"
}
},
"nbformat": 4,
diff --git a/chemistry/h2_mappings.ipynb b/chemistry/h2_mappings.ipynb
index 53bf7f7..fe7b78c 100644
--- a/chemistry/h2_mappings.ipynb
+++ b/chemistry/h2_mappings.ipynb
@@ -22,26 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Couldn't find cython int routine\n",
- "Couldn't find cython int routine\n",
"Processing step 20 --- complete\n",
"Distances: [0.5 0.525 0.55 0.575 0.6 0.625 0.65 0.675 0.7 0.725 0.75 0.775\n",
" 0.8 0.825 0.85 0.875 0.9 0.925 0.95 0.975 1. ]\n",
- "Energies: [[[-1.05500764 -1.07591342 -1.07905074 -1.10582393 -1.1159259\n",
- " -1.1194209 -1.129815 -1.13362146 -1.13616876 -1.13720919\n",
- " -1.13710896 -1.13601371 -1.13411673 -1.13154215 -1.12820065\n",
- " -1.12466426 -1.12013033 -1.1159871 -1.11125184 -1.1063421\n",
- " -1.10090514]\n",
+ "Energies: [[[-1.05515979 -1.0759134 -1.08560852 -1.0915705 -1.11628601\n",
+ " -1.12415219 -1.11299655 -1.11597526 -1.13618112 -1.13722137\n",
+ " -1.13711604 -1.13604126 -1.13414766 -1.13155071 -1.10251055\n",
+ " -1.09745432 -1.12056028 -1.11609624 -1.11133942 -1.07300676\n",
+ " -1.10115028]\n",
" [-1.05515979 -1.07591366 -1.09262991 -1.10591805 -1.11628601\n",
" -1.12416092 -1.12990478 -1.13382622 -1.13618945 -1.13722138\n",
" -1.13711707 -1.13604436 -1.13414767 -1.13155121 -1.12836188\n",
" -1.12467175 -1.12056028 -1.11609624 -1.11133942 -1.10634211\n",
" -1.10115033]]\n",
"\n",
- " [[-1.05513399 -1.07587044 -1.09262978 -1.10591805 -1.11628601\n",
- " -1.12416092 -1.12990478 -1.13382572 -1.13618933 -1.13720732\n",
- " -1.13671373 -1.13604395 -1.13413801 -1.13155121 -1.12831815\n",
- " -1.12465795 -1.12056028 -1.11609399 -1.11129011 -1.1063421\n",
+ " [[-1.05515735 -0.38515209 -1.0926299 -0.43863366 -0.46025198\n",
+ " -1.1241609 -1.12990477 -1.13382616 -1.13618945 -1.13722138\n",
+ " -1.13711705 -1.13604435 -1.13414767 -1.1315512 -1.12836188\n",
+ " -1.12467175 -1.12056028 -1.11609619 -1.11133941 -1.10634211\n",
" -1.10115033]\n",
" [-1.05515979 -1.07591366 -1.09262991 -1.10591805 -1.11628601\n",
" -1.12416092 -1.12990478 -1.13382622 -1.13618945 -1.13722138\n",
@@ -49,11 +47,11 @@
" -1.12467175 -1.12056028 -1.11609624 -1.11133942 -1.10634211\n",
" -1.10115033]]\n",
"\n",
- " [[-1.05514524 -1.07591297 -1.09261947 -1.10562914 -1.11592956\n",
- " -1.12414182 -1.1298772 -1.13381825 -1.13618944 -1.13721625\n",
- " -1.13701873 -1.13602079 -1.13413429 -1.13155103 -1.12836188\n",
- " -1.12467175 -1.12003865 -1.11607488 -1.11133635 -1.10633155\n",
- " -1.10112156]\n",
+ " [[-0.35217394 -1.07591366 -1.09262991 -1.10591801 -1.10112824\n",
+ " -1.12415585 -1.12990478 -1.13382583 -1.13618945 -1.13722138\n",
+ " -1.13711707 -1.13604436 -1.13414763 -1.1315512 -1.12836188\n",
+ " -1.09745432 -1.12056028 -1.11609624 -1.11133942 -1.10634191\n",
+ " -1.10115033]\n",
" [-1.05515979 -1.07591366 -1.09262991 -1.10591805 -1.11628601\n",
" -1.12416092 -1.12990478 -1.13382622 -1.13618945 -1.13722138\n",
" -1.13711707 -1.13604436 -1.13414767 -1.13155121 -1.12836188\n",
@@ -71,15 +69,15 @@
"import pylab\n",
"from qiskit import BasicAer\n",
"from qiskit.aqua import aqua_globals, QuantumInstance\n",
- "from qiskit.aqua.algorithms import ExactEigensolver, VQE\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver, VQE\n",
"from qiskit.aqua.components.optimizers import L_BFGS_B\n",
- "from qiskit.aqua.components.variational_forms import RYRZ\n",
+ "from qiskit.circuit.library import TwoLocal\n",
"from qiskit.chemistry.drivers import PySCFDriver\n",
"from qiskit.chemistry.core import Hamiltonian, QubitMappingType\n",
"\n",
"molecule = 'H .0 .0 -{0}; H .0 .0 {0}'\n",
"\n",
- "algorithms = ['VQE', 'ExactEigensolver']\n",
+ "algorithms = ['VQE', 'NumPyMinimumEigensolver']\n",
"mappings = [QubitMappingType.JORDAN_WIGNER,\n",
" QubitMappingType.PARITY,\n",
" QubitMappingType.BRAVYI_KITAEV]\n",
@@ -102,19 +100,19 @@
" qmolecule = driver.run()\n",
" operator = Hamiltonian(qubit_mapping=mappings[k], two_qubit_reduction=False)\n",
" qubit_op, aux_ops = operator.run(qmolecule)\n",
- " if algorithms[j] == 'ExactEigensolver':\n",
- " result = ExactEigensolver(qubit_op).run()\n",
+ " if algorithms[j] == 'NumPyMinimumEigensolver':\n",
+ " result = NumPyMinimumEigensolver(qubit_op).run()\n",
" else:\n",
" optimizer = L_BFGS_B(maxfun=2500)\n",
- " var_form = RYRZ(qubit_op.num_qubits, depth=5)\n",
+ " var_form = TwoLocal(qubit_op.num_qubits, ['ry', 'rz'], 'cz', reps=5)\n",
" algo = VQE(qubit_op, var_form, optimizer)\n",
" result = algo.run(QuantumInstance(BasicAer.get_backend('statevector_simulator'),\n",
" seed_simulator=aqua_globals.random_seed,\n",
" seed_transpiler=aqua_globals.random_seed))\n",
"\n",
- " lines, result = operator.process_algorithm_result(result)\n",
- " energies[k][j][i] = result['energy']\n",
- " hf_energies[i] = result['hf_energy'] # Independent of algorithm & mapping\n",
+ " result = operator.process_algorithm_result(result)\n",
+ " energies[k][j][i] = result.energy\n",
+ " hf_energies[i] = result.hartree_fock_energy # Independent of algorithm & mapping\n",
" distances[i] = d\n",
"print(' --- complete')\n",
"\n",
@@ -130,7 +128,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -158,11 +156,13 @@
{
"cell_type": "code",
"execution_count": 3,
- "metadata": {},
+ "metadata": {
+ "scrolled": true
+ },
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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bZwc71oWrZizF409mZma+BiQz09RkhoVj+PDhhIeHEx4ezvffl5upSx4blAExk0rODvRsXpMNp26QmWVsemaFomzw+++/06FDB1q3bk2vXr2Ij9emRp81axZjx44lODiYsWPH8t5777FixQoCAwNZsWLFI+lZWVm8+eabtGvXjlatWjFv3rycfXz66ac5299///1C6RceHk7Hjh1p1aoVgwcP5t49rdZ//vx5evXqRUBAAEFBQVy4cCFXvsOHD9O6detHtiush+rGWwhCA+qw8VQc+y7c4QnfR+KKKRSP8MHvkURdT7JomX5elXl/QIt8ZVJTUwkMDMxZv3v3LqGhoQB06dKFAwcOIITgu+++45NPPuG///0vAFFRUezZswdXV1eWLFnCkSNH+OqrrwDNwBimz58/H3d3dw4fPkxaWhrBwcH06dOH6OhooqOjOXToEFJKQkND2bVrF0888cQjeq5YsYI9e7RpS1555RUmTpzIuHHjmDNnDt26deO9997jgw8+4Msvv2T06NHMnDmTwYMH8/DhQ7Kzs7l6VYu1um/fPqZPn87atWupX79+8U+ywiyUASkE3ZvWwM3ZgXUnrisDoijVuLq6Eh4enrOuNwagjVMZPnw4N27cID09PVef/9DQUFxdXU2Wa5i+detWTp48yerVqwFITEwkOjqarVu3snXrVlq3bg1AcnIy0dHRRg3I8OHDcwyUvoyEhAS6desGwPjx4xk6dCj379/n2rVrDB48GNAGvOk5ffo0L7zwAlu3bsXLy6twJ0pRLJQBKQQujvaE+NdmS0Qc/xrkj4ujva1VUpRyCqop2ILp06fz+uuvExoaSlhYGLNmzcpJq1ixYr55DdOllMyZM4eQkJBcMlu2bOGdd95hypQpubZ//fXXLFiwAMCiznlPT08ePnzI8ePHlQEpYZQPpJAMDPTiflomYWdv2loVhaJIJCYmUqdOHQCWLl1qUs7NzY37900Png0JCWHu3LlkZGQAcO7cOR48eEBISAiLFi0iOVmbafratWvcvHmTqVOn5jjMTb3o3d3dqVq1Krt37wbghx9+oFu3bri5uVG3bl1+++03ANLS0khJSQGgSpUqbNiwgXfeeYewsLDCnQxFsVAGpJB08qlG9UpOalChoswya9Yshg4dSps2bahevbpJuR49ehAVFZXjRM/L5MmT8fPzIygoCH9/f6ZMmUJmZiZ9+vRh1KhRdOrUiZYtW/Lss8/ma4jysnTpUt58801atWpFeHg47733HqAZk9mzZ9OqVSs6d+5MXFxcTp5atWqxfv16pk6dysGDBwtxNhTFQQVTLALvr41g+eGrHHm3F24ujgVnUJQrTp8+TfPmzW2thkJRJIzdv6aCKaoaSBEIDfQiLTObbVHxtlZFoVAobIYyIEUgqH5V6lZ1Za0aVKhQKMoxyoAUASEEAwK82HP+NneS02ytjkKhUNgEZUCKSGiAF1nZko0RcQULKxQKxWOIMiBFpFltN3xrVWJd+DVbq6JQKBQ2QRmQIiKEIDTAi8Mx97iWkGprdRQKhaLEUQakGAwI0AZDrVdjQhSliB49erBly5Zc27788kteeuklIiMjefLJJ2natCmNGjXi/fffJztbCw6aN7x6YGAgUVFRtjgERRlBGZBi0KBaRQLqVVG9sRSlipEjR7J8+fJc25YvX86IESMIDQ1l5syZnD17llOnTnHo0CH+97//5cgZhlcPDw/Hz8+vpNVXlCGUASkmAwO8iLqRxPmbybZWRaEA4Nlnn2XDhg2kp6cDEBMTw/Xr1zl//nxOxFyAChUq8NVXX/Hpp5/aUl1FGUYFUywm/Vt58q8NUaw7cZ3Xe/vaWh1FaWPTTIg7Zdkya7eEfh+bTPbw8KB9+/Zs2rSJgQMHsnz5coYNG0ZkZCRt2rTJJduoUSNSU1NJSEgAcodXB9i/f3++0XkV5RtVAykmNSu70NGnGuvCr6n50hWlBsNmrOXLlzNy5Eiz8uVtwlLGQ5EfqgZiAUIDvJi55hSnriXSqm4VW6ujKE3kU1OwJgMHDuS1117j2LFjpKSk0KZNG44fP86uXbtyyV28eJFq1apRpYq6bxWFR9VALEA/f08c7YWaL11RaqhUqRI9evRg0qRJObWP0aNHs2fPHrZv3w5osxbOmDGDDz74wJaqKsowyoCYwYmI5aza+prJdPcKjnTzrcnvJ6+Tla2asRSlg5EjR3LixIkcA+Lq6sq6dev46KOP8PX1pXr16gQHBzN69OicPPo50PXLvn37bKW+ogygmrDMYFPUT6xKuUS/+zeo5OZpVCY00Ivtp+M5dOkunRpVK2ENFYpHGTRo0CN+OX9/f/78808AfvvtN15//XVGjRpFgwYNmDBhAhMmTLCBpoqyiqqBmEHf5iNIF4Kwo9+YlOnVvCYVnOzVRFOKMsOgQYO4ePEiDRo0sLUqijKKMiBm0MpvOLWyJFuu7DApU8HJgd5+tdgUcYP0zOwS1E6hUChsgzIgZmBn70Aft0bszU4iKfGqSbnQAC8SUjLYHX2rBLVTKBQK26AMiJn09RtFhhCEHZ1rUqZrkxq4uzqqZiyFQlEuUAbETFo2H4pnlmRL7J8mZZwc7HiqpSfbouJJSc8sQe0UCoWi5FEGxEyEnR0hlZuwL/s+iYlXTMqFBniRkp7F9tM3S1A7hUKhKHmUASkEfVuMIVMI/jjylUmZ9g09qFXZWQ0qVNgUIQRvvPFGzvpnn33GrFmzLFL2rFmzqFOnDoGBgfj7+7Nu3bp85SdMmECFChW4f/9+zrZXX30VIQS3b98GoHPnzgXud/LkySUaXj4sLAx3d/dc42L0gzDN0dfaVKpUydYq2MaACCGGCiEihRDZQoi2+cj1FUKcFUKcF0LMNNguhBAfCSHOCSFOCyFmlITefk0HUycLtsTuNCljbycY0MqLnedukpiSURJqKRSP4OzszJo1a3Je0JbmtddeIzw8nFWrVjFp0qScOUVM0bhxY9auXQtAdnY2f/zxB3Xq1MlJN2fA4nfffVfi4eW7du2aKzZYr169APP0LQtkZhavqd1WNZAIYAiwy5SAEMIe+BroB/gBI4UQ+rtnAlAPaCalbA4sN1qIhRF2doS4+3JQPiDh3iWTcqGBXmRkSTZH3igJtRSKR3BwcOCFF17giy++eCRtwoQJrF69Omdd/yUbFhZGt27dGDhwID4+PsycOZOffvqJ9u3b07JlSy5cuPBIWc2bN8fBwYGrV6/SsGFDMjK0j6akpKRc6yNGjGDFihU5+wkODsbB4a9xzIY6dO/enWeffZZmzZoxevTonMGQ3bt358iRIznyb775Ji1atKBXr14cOnSI7t274+Pjk1MjWrJkCdOmTcvZR//+/QkLCzM7f37o9c3Ozubll1+mWbNm9O7dm6eeeirn3B49epRu3brRpk0bQkJCuHHjRs5xvP3227Rv3x5fX192794NQGRkJO3btycwMJBWrVoRHR0NwOeff46/vz/+/v58+eWXj+gyYsQINmzYkLOuv75ZWVm8+eabtGvXjlatWjFv3rycc9y1a1dCQ0OLbZBtMhJdSnkatGp2PrQHzkspL+pklwMDgSjgJWCUlDJbV16JORz6+o9j0YF32XHkK57p/V+jMi3ruONdrQJrw68zvF39klJNUQr5z6H/cObuGYuW2cyjGW+3f7tAualTp9KqVSveeusts8s+ceIEp0+fxsPDAx8fHyZPnpwz6dScOXMeeYEdPHgQOzs76tevT/fu3dmwYQODBg1i+fLlDBkyBEdHRwB8fX1Zt24d9+7dY9myZYwZM4ZNmzYZ1eH48eNERkbi5eVFcHAwe/fupUuXLrlkHjx4wJNPPsmnn37K4MGDeffdd9m2bRtRUVGMHz+e0NDQfI/T3Py7d+8mMDAwJ98vv/xCo0aNctbXrFlDTEwMUVFR3Lx5k+bNmzNp0iQyMjKYPn06a9eupUaNGqxYsYK///3vLFq0CNC+/A8dOsTGjRv54IMP2L59O99++y2vvPIKo0ePJj09naysLI4ePcrixYs5ePAgUko6dOhAt27daN26dY4Ow4cPZ+XKlTz99NOkp6ezY8cO5s6dy8KFC3F3d+fw4cOkpaXlmgvm2LFjRERE0LBhw3zPU0GU5lAmdQDDQRexQAfd/0bAcCHEYOAWMENKGW2sECHEC8ALAPXrF/9l3qzJAOrvfZct13fzjAkZ/Xzpc/48z82kh9Ss7FLs/SoUhaVy5cqMGzeO2bNnmx2WvV27dnh6auF6GjVqlPPCadmyZU4IFIAvvviCH3/8ETc3N1asWIEQgsmTJ/PJJ58waNAgFi9ezIIFC3KVPWTIEJYvX87BgwdzvoaN0b59e+rWrQtAYGAgMTExjxgQJycn+vbtm6Obs7Mzjo6OtGzZkpiYmAKP09z8Xbt2Zf369SbL2bNnD0OHDsXOzo7atWvTo0cPAM6ePUtERAS9e/cGICsrK+e86s8FQJs2bXL216lTJz766CNiY2MZMmQITZo0Yc+ePQwePJiKFSvm5Nu9e3cuA9KvXz9eeeUV0tLS2Lx5M0888QSurq5s3bqVkydP5tSIEhMTiY6OxsnJifbt2xfbeIAVDYgQYjtQ20jS36WUa4tZvDPwUErZVggxBFgEdDUmKKWcD8wHaNu2bbEjHQo7O0KqNGNR0mnu3j2Ph0djo3KhgV7M/uM860/eYFKX4l8oRdnEnJqCNXn11VcJCgpi4sSJOdscHBxyfBbZ2dk5MxeC5jvRY2dnl7NuZ2eXq738tdde429/+1uufQUHBxMTE0NYWBhZWVn4+/vnSh8+fDht2rRh/Pjx2NmZbj031MHe3t5oO72jo2NOC4YpPQ2PE+Dhw4eFyl8cpJS0aNGC/fv3G03X78/w+EaNGkWHDh3YsGEDTz31VL5G1hAXFxe6d+/Oli1bWLFiBSNGjMjRYc6cOYSEhOSSDwsLyzFIxcVqPhApZS8ppb+RxVzjcQ3Nz6Gnrm4baLWRNbr/vwKtLKO1eYT4TyBLCLbn0xurcU03/Dwrs1YNKlTYEA8PD4YNG8bChQtztnl7e3P06FEA1q1bl+OnsATjxo1j1KhRuQyWngYNGvDRRx/x8ssvW2x/+eHt7U14eDjZ2dlcvXqVQ4cOWXwfwcHB/PLLL2RnZxMfH5/jY2natCm3bt3KMSAZGRlERkbmW9bFixfx8fFhxowZDBw4kJMnT9K1a1d+++03UlJSePDgAb/++itduz76rTx8+HAWL17M7t27c2pWISEhzJ07N+f6njt3jgcPHljw6Et3N97DQBMhREMhhBMwAtB7t34Deuj+dwPOlaRivo374Z0l2Hp9b75yoYFenLiawOU7lr1oCkVheOONN3L1xnr++efZuXMnAQEB7N+/32Jfo6DNOXLv3j2TMyBOmTIllw/BmgQHB9OwYUP8/PyYMWMGQUFBhS5D7wPRL4adDwCeeeYZ6tati5+fH2PGjCEoKAh3d3ecnJxYvXo1b7/9NgEBAWaFxl+5ciX+/v4EBgYSERHBuHHjCAoKYsKECbRv354OHTowefLkXM1Xevr06cPOnTvp1asXTk5OgNbt2c/Pj6CgIPz9/ZkyZYpFale5kFKW+AIMRqtFpAHxwBbddi9go4HcU2jG4QJa05d+exVgA3AK2A8EmLPfNm3aSEsxZ81w2WpxC3nr5mmTMrH3UmSDt9fLOTvOWWy/itJPVFSUrVWwGatWrZJjxoyxtRolyv3796WUUt6+fVv6+PjIGzdu2Fij4mHs/gWOSCPvVFv1wvoVrekp7/braEZDv74R2GhELgF42po6FkRIywnM2/sm249+zYi+c4zK1KniSjvvqqwNv87UHo0L6nWmUJRppk+fzqZNm9i48ZFH9rGmf//+JCQkkJ6ezj/+8Q9q1zbm+n08Kc29sEo1TRr3pdGut9gSt58R+ciFBtbhH79FcDI2kYB6at5pxePLnDnGP6Qed/R+j/JIafaBlHpCPPw5ykNuxkeYlBkU6EUlZwcW7zU98FDx+CGlmtpYUfYo7H2rDEgxCAl4DikE246ZnqnQzcWRoW3rsv7kDeKTHpqUUzw+uLi4cOfOHWVEFGUKKSV37tzBxcX8cWuqCasY+DTsSZMwO7bGH1J7RDUAACAASURBVGR0PnITOnuzZF8MP+y/zN9CmpaYfgrbULduXWJjY7l1S00spihbuLi45AziNAdlQIpJiEcrvkoIJy4unNq1A43KNKhWkV7Na/HTwctMe7IxLo72JayloiRxdHS0yChfhaK0o5qwiklIwGQAth0zPVMhwKTghtxLyeC349fylVMoFIqygjIgxcTbuxvNsu3YEn84X7mOPh4096zMor2XVNu4QqEoMe4kp/HC90e4kZhq8bKVAbEAIdUCOWGXwY3rR0zKCCGYFOzNufhk9p6/U4LaKRSK8sqt+2mMXHCAXdG3uHwnxeLlKwNiAUJavwDA1uP5Bz8bEOBF9UpOLFJdehUKhZW5ef8hIxcc4OrdVBZNaEdHn2oW34cyIBagXr1g/LLt2XLTdA0EwMXRnjEdG/DHmZtcvJVcQtopFIryRnzSQ0bMP8D1hFQWT2xH50bVrbIfZUAsREj1IE7ZZRIbeyBfudEdGuBkb8eSfTElo5hCoShX3EhMZcT8A8QnPmTppPZWqXnoUQbEQvTJacaan69cDTdnQgO9WHUkVs2ZrlAoLMq1hFSGzzvArftpfP9cB9p5e1h1f8qAWIi6dTvSMtuBLbePFSg7Mdib1IwsVhy5UgKaKRSK8kDsvRRGzN/PvQfp/PBce9o0qGr1fSoDYkFCarYlyi6LK1f25CvXwsudjj4eLN13mcys7HxlFQqFoiCu3k1h+LwDJKZk8OPkDrSub33jAcqAWJQ+rV8EYGv4ggIktYGF1xJS2RoVb221FArFY8zlOw8YPm8/yWmZ/Px8xxKN+q0MiAXx9GpDQLYjW+6EFyjbs3kt6ntUYOEe1aVXoVAUjUu3HzB83gFSM7L4+fkO+NdxL9H9KwNiYUJqteOMXTYxMTvzlbO3E0zo7M3Ry/cIv5pQQtopFIrHhQu3khk+bz/pWdn8/HxHWniVrPEAZUAsTu+glwDYcuK7AmWHtq2r5gpRKBSF5vzN+4yYf4BsKVn2fEeae1a2iR7KgFiY2rUDCZJObLl7skBZNxdHhrWtx4aTN4hLVHOFKBSKgjkXrxkPgOUvdKRpbTeb6aIMiBXoU6sD0XbZXLy4vUDZCZ29yZKSHw7EWF8xhUJRpjl9I4kR8w9gJwTLX+hI45q2Mx6gDIhV6B30MkJKtpxcVKBs/WoV6N28Fj8fvEJqelYJaKdQKMoikdcTGbXgAE72dqyY0olGNSrZWiVlQKxBzVr+tMGFLXcjwIzQ7ZO66OYKCVdzhSgUikc5eyaCbQvewdXBjhVTOtKwekVbqwQoA2I1Qmp34oK9JPrClgJlOzT0wM+zMov2qLlCFApFbg7H3GXnss94Vf7EL89UoUG10mE8QBkQq9Gr7VTspGTLqSUFygohmNSlIdE3k9lz/rb1lVMoFGWC3dG3GLvwIC0drgLgmXDUxhrlRhkQK1G9ejPaCVe23ItEZhccrmRAgCfVKzmzSA0sVCgUwJbIOJ5bcoSG1SvR3vW6tjFmt22VyoMyIFakj2cwMfZw7vzGAmWdHewZ27EBf569xQU1V4hCUa757fg1Xv7pGH5elVkxpin2ydfBzgFi9oIZH6QlhTIgVqRX22laM1bEUrPkR3esr80VsjfGuoopFIpSy08HL/PaynDae3vw4+QOVE46qyX4DYTUu3DrjG0VNEAZECvi4dGY9qICWxLOmNWMVb2SMwMDvVh9VM0VolCUR+bvusDff42gR9OaLJ7YjkrODhAfoSV20IK1EpN/tO+SRBkQK9OvTjeu2MOJg1+aJT8xuCGpGVksP6zmClEoygtSSj7fepZ/bzzD0608+XZMG1wc7bXEuAioUB3qtgP3eqXKD6IMiJUJ6fIuFaVgefi3cLdgB7mfV2U6+VRj6b4YNVeIQlEOkFLy4frTzP7jPMPa1mX2iNY4ORi8muNPQW1/EAK8u8DlvWaNLysJlAGxMhVd3An1eZqtrk7cWfMcZBXcNDWpS0OuJz5kS6SaK0SheJzJypa8s+YUi/ZeYmKwNx8PaYW9nTAQyISbZ6CWv7beIBhS7pQaP4gyICXAiIDnyRCCNfejIezjAuWfbFaTBtUqsEhF6VUoHlsysrJ5Zflxlh++yvQnG/Nefz/sDI0HwJ3zkJUGtVtq695dtN9S4gdRBqQE8HH3oYNnB1ZWq0Xm7v/CpfzbMNVcIQrF483DjCxe/OEo60/eYGa/ZrzRpylCiEcF9Q70Wi2036reULmuMiDljZFNRxIn09hZ0xvWvAApd/OVH9q2Hm5qrhCF4rHjQVomk5YcZseZm3w4yJ8XuzUyLRx3CuwcoXpTbV0I8A7WDEgp8IPYzIAIIYYKISKFENlCiLb5yPUVQpwVQpwXQsw02N5TCHFMCBEuhNgjhGhcMpoXjW71ulG7Ym2W1WsKD27Buun53gCVnB0Y1k6bK+RGYmoJaqpQKKxFYkoGYxYe5OClu3w+LICxHRvknyE+Emo0BQenv7Z5d4GU23DrrHWVNQNb1kAigCHALlMCQgh74GugH+AHjBRC+OmS5wKjpZSBwM/Au9ZVt3g42Dkw1HcoB+9GcbHrDDizHo4uzjfPhM7eAHz1x/kS0FChUFiT28lpjFxwgIhriXw9KoghQXULzhQf8ZcDXY/eD3LZ9s1YNjMgUsrTUsqCTGh74LyU8qKUMh1YDgzUFwHo53F0B65bR1PL8UyTZ3C0c2SFqwP49IDN/6f1sDBBPY8KjOnYgGWHrnAu/n4JaqpQKCzJ1bspDP12PxdvJ/Pd+Hb09a9dcKYHd+D+jb/8H3qqNgQ3r1LhByntPpA6wFWD9VjdNoDJwEYhRCwwFjDavUkI8YIQ4ogQ4sitW7esqmxBVHOtRh/vPqy7+DspA74Apwrwy3OQYXo62xk9m1DR2YF/bzxdgpoqFApLEXU9iSFz93H3QTo/PteBbr41zMuod6DXzlMD0Y8HKQV+EKsaECHEdiFEhJFlYMG5C+Q14CkpZV1gMfC5MSEp5XwpZVspZdsaNcy8cFZkRNMRJGcks/7mYRg0V7tJtr9vUt6johPTn2xM2Nlb7I62rQFUKBSFY/+FOwyftx8HO8GqFzvR1tvD/Mw5PbBaPprm3UXzpd6OtoyiRcSqBkRK2UtK6W9kWWtmEdeAegbrdYFrQogaQICU8qBu+wqgswVVtxoBNQJo7tGcZWeWIZv00eLbHPwWzpmeeGp8Z2/qebjy0YbTZGXbvueFQqEomI2nbjB+0SFqu7vwy0ud8a1VyPnL4yKgUi2oZOTDN2c8iG3DmpT2JqzDQBMhREMhhBMwAlgH3APchRC+OrneQJlo4xFCMKLZCM4nnOdI/BHo9YH2hfHbS3A/zmgeZwd73u7bjDNx91l99KpRGYVCUXr4fn8MU38+Rsu67qx6sRNeVVwLX0j8qUf9H3o8fMDN0+Z+EFt24x2s8190AjYIIbbotnsJITYCSCkzgWnAFjQDsVJKGanb/jzwixDiBJoP5E1bHEdR6NewH5WdKrP8zHJwdIFnF0J6Cvw6xWSs/6dbehJUvwqfbT3Hg7TMEtZYoVCYg5SSz7ac5b21kfRsVoufJnegSgWngjPmJStD66abtweWnlISF8uWvbB+lVLWlVI6SylrSSlDdNuvSymfMpDbKKX0lVI2klJ+lCd/SyllgJSyu5Tyoi2Ooyi4OrgyuPFg/rjyBzdTbmr9vPv+P7gYBvu/MppHCMHfn/bj1v005u0qM4eqUJQbMrOymfnLKb768zwj2tXj2zFBf0XULSy3oyEr/a8QJsZoEAzJ8Vq4ExtR2puwHluGNx1Olsxi9bnV2oY2E6D5ANjxT7h+3GieNg2q8nQrT+bvukBcoumeWwqFomRJTc/ixR+PseKIFtfq/w1piYN9MV6vOQ50EzUQAO+u2q8N/SBmHaEQYo0Q4mkhhDI4FqJe5XoE1wlm1blVZGRlaFXSAbOhUk1Y/RykGZ/WdmbfZmRnw2dbbT8KVaFQQEJKOmMWHmTHmXg+HNjCdFyrwhB3CuydoHoT0zLVGkGl2to0tzbCXIPwDTAKiBZCfCyEaGpFncoNI5uN5HbqbXZc2aFtqOABQ+bD3Yuw6S2jeep5VGBisDe/HIsl8npiCWqrUCjycj0hlaHf7udUrDa6fGwnb8sUrA9hYu9oWqYUxMUyy4BIKbdLKUcDQUAMsF0IsU8IMVEIkc8RKvIj2CuYupXqsuzMsr82eneBJ/4G4T/BqdVG873cozFVXB35aMNpZCkIqKZQlEfOxd/nmbn7iEt8yNJJ7XmqpaflCo+PMD7+Iy/eXSA5Du5csNy+C4HZTVJCiGrABLQR4MeB/6EZlG1W0awcYG9nz/Cmwzl28xjn7p37K6HbTKjbHta/BvcuP5LP3dWRV3v5su/CHf44c7MENVYoFABHYu7y7Nx9ZGZLVkzpRKdG1SxXePItzTmedwS6MfR+EBvFxTLXB/IrsBuoAAyQUoZKKVdIKacDlayp4OPO4CaDcbZ31rr06rF3gGcWaP9/mazNSpaHUR3q41OjIh9tPE2GmvpWoSgxtkXFM/q7g1Sr5Myalzrj51W54EyFIf6U9mtqDIgh1RpDxZo2Gw9ibg1ktpTST0r5/6SUNwwTpJQmQ7ErCsbd2Z1+Dfux/uJ6ktKT/kqo6g39v4DYQ7BqPKQ/yJXP0d6Od/o15+KtByw7dKVklVYoyinLD11hyg9HaFbbjdUvdqKeRwXL7yQ+Uvs1pwnLxnGxzDUgVYUQQ/IsPYUQNa2qXTlhRLMRpGamsu78utwJLZ+Ffp/A2Y2wuB8k5bLd9Gpek44+Hny5PZqkhwXPta5QKIpGdrbk401nmLnmFF2b1ODn5ztSrZKzdXYWF6GNMq9oZrOYdxctau/dkh8fZq4BeQ74DhitWxYAbwN7hRBjraRbuaFFtRa0qt6KFWdXkC3zNEd1mAIjl2tOsgVPwo2TOUlCCN592o97Kel8/aeaM0ShsAap6VlM/fkY3+68wKgO9flufFsqOjtYb4fG5gDJDxvOk26uAXEEmkspn5FSPoM2uZMEOqAZEkUxGdFsBDFJMRy4ceDRRN8QmLRZq64u6gtnN+ck+ddxZ3DrOizeE8PVuyklqLFC8fhzM+khI+bvZ3NkHO8+3ZyPBvnjWJwBggWRma4LYWKG/0NPdV+oWKNUG5C6Usp4g/WbQD0p5V1AtZ1YgBDvEDxcPHI70w2p3RKe/0MbWLR8JByYm9Pm+WZIU+zs4JMtanChQmEpTt9IYtDXezkXn8z8sW2Z3NWn+AMEC+L2OcjOyD+ESV5sGBfLXAMSJoRYL4QYL4QYD6zVbasIJFhPvfKDk70TQ5oMYWfsTq4nm5hc0a02TNwITZ+CzTNh45uQlYmnuysvdPXh9xPXOX7lXskqrlA8hvx55ibPzt1HlpSserETvf1qlcyOzQlhYowGwZB0De5dsrxO+WCuAZmKNmlToG75HpgqpXwgpexhLeXKG8N8hwGw8uxK00JOFWHYD9B5BhxeAMuGw8MkpnRrRA03Z/6lBhcqFMVi6b4Ynlt6GO/qFVk7tQv+ddxLbudxp8DeWeueWxhy4mKVbDNWgQZECGEP/CGl/EVK+ZpuWS3VW8rieFbypFvdbqyJXkNaVpppQTs76PMhDPifFsF3UQgVU6/zRm9fjl6+x6YI4/OKKBQK02RmZTNrXSTvr4vkyWa1WDmlE7XdXUpWifhIqNlMGwtWGGo0hQrVSzwuVoEGREqZBWQLIUrQDJdfRjYbyb20e2yN2VqwcJsJMHo1JF6DBT0Z6nmTZrXd+HjTGdIys6yuq0LxuJCclsnz3x9hyb4YJndpyLyxbazb08oU5oYwyYuN4mKZ24SVDJwSQiwUQszWL9ZUrLzS0bMj3pW9TTvT89KoB0zeBo6u2C99ms/9Y7hyN4Uf9j8aAkWhUDzKtYRUnp27j13Rt/losD/v9vfD3s7KznJj3I/X5jk3J4SJMby7QlIs3IuxqFr5Ya4BWQP8A9gFHDVYFBZGP+XtydsnibwdaV6mGk21HlqeAfjtmc4ntXYwe8c57j1It66yCkUZ58TVBAZ9vZdr91JZMrEdozs0sJ0yOSFMimpAdONBLpdcM5a50XiXAiuBA1LKpfrFuqqVX0IbheLq4Jo7Sm9BVKwO49aB/7MMS1zIu1lz+Wp7lPWUVCjKOJsjbjB8/n6cHexY83JnujapYVuFckKYFGIMiCE1mkGFaiXqSDc3mOIAIBzYrFsPFEKsyz+Xoqi4ObnR36c/m2M2k/CwEL2kHV3gme+g20yG2YfR6+hLxFyNtZ6iCkUZRErJtzsv8OKPx2juWZnfpgbTpJabrdXSQphUrqPNC1QUhNC685Y2AwLMAtqjG/MhpQwHfKykkwJtZHpaVhq/nv+1cBmFgB7vkPTUN7QVZ4le9hZZ2arDnEIBkJ6pzVv+8aYz9G/lybLnO1LdWjGtCkthQ5gYw7srJF41Og2ENTDXgGRIKfNOf6diiFsR36q+tKnVhhVnV5CVXfgeVZXbjybeswctHuznmz+iraChQlG2iEt8yPD5+3PmLZ89ojUujva2VksjM00bhV5UB7oe72Dtt4RqIeYakEghxCjAXgjRRAgxB9hnRb0UaLWQa8nX2Bm7s0j567QLxUvcZf0ff3I45q6FtVMoyg6HLt2l/5w9nI27z9zRQbzRpyl2tuhpZYpbZyE7s+j+Dz01moOrR4k50s01INOBFkAasAxIAl61llIKjZ71e1LfrT5fh3/9aJReMxCNewEwqFIUryw7TkKK6pWlKF9IKVmy9xKjFhzAzcWBtVOD6WfJqWctRU4IkyKMATHEzk43HmR38XUyZ3fmCEkpU6SUf5dStpNSttX9f2ht5co7jnaOTA2cyrl759h0aVPhC3CvAzX9GFs9mlvJaby1+qQKc6IoN6SmZ/HGyhPM+j2K7k1rsnZaKXGWGyMuAhxcoFqj4pfVoAskXNEWK2NuLyxfIcR8IcRWIcQf+sXayimgb8O++Fb15evwr8nILkLg48Y9qRR/mL/3qs/WqHh+PKAGGCoef67eTeGZufv4Nfwar/f2Zf7YNlR2cbS1WqaJPwU1m4OdBXwyOfODWL8Zy9wmrFXAceBd4E2DRWFl7IQdM1rP4Or9q/waXcgeWQCNe0NWOuM9r9CjaQ0+3HCaqOtJBedTKMoou6NvMeCrPVy9l8Ki8e2Y0bNJ6fJ35EVKrQZS3B5Yemr6gWvVEnGkm2tAMqWUc6WUh6SUR/WLVTVT5PBE3ScIrBHIvBPzeJhZyJbD+h3BsSLiwg4+GxpAFVdHpi87Rkp6pnWUVShshJSSb8LOM37RIWq5ufD7tC70aFYGZt2+Hwepdws3B0h+2NnpxoNY3w9irgH5XQjxshDCUwjhoV+sqpkiByEErwS9ws3Um4UbnQ7g4Aw+3SB6G9UqOvHliEAu3n7ArHVmhklRKMoAyWmZvPzTMT7ZfJanWnry69TOeFevaGu1zKOoc4Dkh3cXSLgMCVctV6YRzDUg49GarPbxVxysI9ZSSvEobWu3JbhOMAsjFnI//X7hMjfuqd1Mdy7QuVF1pvVozMojsawNv2YdZRWKEuTCrWQGfb2XrVHxvPt0c+aMbE0FJxtE0i0qcfoYWH6WK7OE4mKZ2wuroZFFjUQvYWa0nkFiWiJLIpcULqOuOy/ntwHwSs8mtG1Qlb//GsHlOw8sq6RCUYJsi4pn0Fd7ufsgnR+ea18y085amvhIcK+n+S0sRc0W4FLF6s1Y+RoQIcRbBv+H5kn7t7WUUhjHr5offRr04YeoH7idetv8jFW9oVoTOL8dAAd7O74cEYidgBnLjpOeqYIKKMoWWdmSz7ee5fnvj9CwRkV+n96Fzo2q21qtomGJECZ5yfGD2LYGMsLg/zt50vpaWBeFGUxrPY30rHQWnlpYuIxNemu9MjJSAahbtQKfPNuKE7GJfLb1rBU0VSisQ+KdOL795jPm/HGOoW3qsnJKJ+pUcbW1WkUj4yHcji5+CBNjeHfR5khPtF5A1YIMiDDx39i6ogRo6N6QgY0HsuLsCq4nXzc/Y+OekPkw1xdJX39PxnSsz/xdFwk7e9MK2ioUliVy7wbS5nRi6u1/sTA4kU+ebVV64lkVhVtnQGYVP4SJMXLiYlmvFlKQAZEm/htbV5QQLwW8hEAw98Rc8zM16AIOrjl+ED3vPu1Hs9puvLHyBDeTVHABRekkIz2NAwteofnW0aQJF7IcKvAkR8qevyMvlgphYoxa/uDiDpetNx6kIAMSIIRIEkLcB1rp/uvXrXDECnOoXbE2w5sNZ92FdVxMuGheJkcXrUqr84PocXG056tRrXmQnslrK8PJVqHfFaWM65dOc/GTJ+h4bQlHqvbD4/X92DfpCec2l+j831YhLgIcK4BHQ8uXbWdv9flB8jUgUkp7KWVlKaWblNJB91+/XuS4AEKIoUKISCFEthCibT5yi4QQN4UQEXm2ewghtgkhonW/Fuy+UDaY3HIyLvYufBX+lfmZmvSGO+fh7qVcmxvXdOOD0BbsPX+HuTsvWFhThaLoHPl9HpWX9MAz8wpH2n1O+1eXUdGtCvj2g/s34Ea4rVUsHvER2shxS4QwMUaDYLh7EZIK0dxdCMwdB2JpIoAhaHOs58cSjDvrZwI7pJRNgB269XKFh4sH41qMY9vlbebPnZ7TnXf7I0nD2tajfytPPt92jqOX71lQU4Wi8CQn3ePwF8Noe/QtYp0akjwhjLZPP/eXgG8IIODsZpvpWGyk1PXAsoL/Q4+V42LZxIBIKU9LKQvs+iOl3AUYm8hiIKCfk30pMMiC6pUZxvuNp4pzFWYfn21ehmqNoGpDowZECMG/h7TEq4oLM5YdJzG1CIEbFQoLEH18FwlfdCIoYSv7602m8Vs78fJumluoYnWo1wHObrSNkpYg6Tqk3rNcCBNj1G4Jzu5WGw9iqxpIcaklpbyh+x8H1DIlKIR4QQhxRAhx5NatWyWjXQlRyakSk1tOZt/1fRyOO2xepsa94NIubQa0PFR2cWTOyCDikx4y8xcV+l1RsmRnZXHgh/fw/m0QDjKDs/2W0+m5/+Lg6GQ8Q9O+EHcSEstoRAVrhDDJi509NOhkNT+I1QyIEGK7ECLCyDLQkvuR2lvO5JtOSjlfN4dJ2xo1alhy16WC4U2HU7NCTb489qV5L/wmvSEjBS4bn1AysF4V3gxpyqaIOH48aP35BBQKgNvXLxP5SU86XvgfpyoF4zrjAH4dCxhq1vQp7fdcEebKKQ1YI4SJEdLqd2Re9i0e3ouxeNlWMyBSyl5SSn8jy1oLFB8vhPAE0P2W20EMLg4uvBTwEidvnSTsaljBGby7gL2T0WYsPc939aGbbw1mrYtk/UnrON8UCj3hO5ZjP78LjR9GcrDlLFq/sRZ3DzM+9qr7ak2yZdUPEh8JVeprXW2txKXES4yK38ZXVauwJ6qQgVjNoKw2Ya1DC/CI7tcSRqnMMrDxQOq71Wf28dlkZWflL+xUUeuZkY8BsbMTfDM6iKD6VXhlebgyIgqr8DD1AQe/fo7A3VO4a1+dm6O20uGZ1xB2Zr6WhNBqIZd2QlqydZW1BvER1hn/oeP3C78zfP1wbmUk802nD+kVnDeYSPGxiQERQgwWQsQCnYANQogtuu1eQoiNBnLLgP1AUyFErBBC3w3jY6C3ECIa6KVbL7c42jkyrfU0ziecZ+MlM5yKjXtpI2DzCfVc0dmBJRPb5xiRDSdvmJRVKArLhXNRXP+0Mx1ureZAzeHU+dteGjRtXfiCmvaFrHS4+KfllbQmGalal3orhDBJyUjh3T3v8n97/g+/an6sGrCKrr7W6Wdkq15Yv0op60opnaWUtaSUIbrt16WUTxnIjZRSekopHXXyC3Xb70gpe0opm+iayoz11CpXhHiH0MyjGd+Ef0NGVgE9qJr01n7zqYWAZkQWT2xP63pVmLH8uDIiimKTlpnF59vOceTH/8Mz+wYnnlhAx5fn4+JaoWgF1u+kNQGdLWN+kJtRILMt7kA/d+8cIzeMZN2FdbwY8CLf9fmOWhVN9jEqNmW1CUuRBzthx/TW04lNjmVN9Jr8hav7auGjCzAgAJWcHVgy6S8jsvGUMiKKonH08l2enr2H2Tui6eFyHvtG3Qh4cljxCrV31KZtPrcFCmq+LU3E68ZuWWgMiJSS1edWM2rDKJLSk5jfZz5TA6fiYGfdeVGUAXmM6FqnK0E1g5h3ch6pmammBYXQmrEu7oTM9ALL1RuRwHpVmL7sOJuUEVEUguS0TN5bG8Gz3+4nNT2Ln0Y0pGb6VZx8ulhmB037QcptiC1Dc9zFRYBTJa0TQDFJTk/m7V1v88H+DwiqGcSqAavo6NnRAkoWjDIgjxFCCGYEzeBW6i1+Pv1z/sKNe0H6fYg9ZFbZlZwdWDKxXY4R2RyhjIiiYP44E0/vz3fyw4HLTOjszdbXniDY8ZyWWL+zZXbSuBfYOZSt7rw5IUyK9wqOvBPJsPXD2Hp5K68EvcK3vb+lumvJzYuiDMhjRptabehSpwuLIhaRlJ5kWtCnm/bQRW8zLZMHNxdHlkxsR6u67kz7+TibI+IsoLHiceR2chrTlx1n0pIjVHZxZM1LnXl/QAsqOjtoY5AcK4BngGV25loFGnQuO34QKbUaSDEc6FJKfjr9E2M2jiE9K53FfRczueVk7ETJvtKVAXkMmdF6BknpSSyJWGJayNlNc0Ce31Gost1cHFk6qb3OiBxTRkSRCyklvxyNpdfnO9kSEcfrvX35fXoXWtc3iHd6ZR/UbQcOJkaYF4WmT2k9C++aGZ3aliTGQlpikf0fiWmJvPrnq3x86GO6eHVh9YDVtK5ZhB5sFkAZkMeQ5tWa09e7Lz+e/jH/qW8b94L4U5BUuOYovRFpqYyIwoCrd1MYt+gQb6w6QaMaldgwowszejbBycHgNZOaoH19Nwi27M59daPWy8KgwmLMARJ+fMBIsgAAIABJREFUM5yhvw9l17VdvNXuLWY/OZsqLlUsrKD5KAPymKKf+nbO8TmmhfTReS8UrhYCfxkR/zqaEdkSqYxIeSUrW7JwzyX6fLGLY5fv8c+BLVg1pRNNark9Knz1ICC1+EyWxKMh1GheNoIrxukNiPkhTLJlNgtPLWTC5gnYC3t+7PcjY/3G2nxCLWVAHlMaVG7AWL+xrIlew95rJkI512oBbp6F8oMYUtnFke+f04zI1J+OsVUZkXLHmbgkhszdx4fro+jUqBrbXu/GuE7e2NmZeLFd3gt2jlDH5DRARadpX82/klrKpyOIj9B6XzkbMbBGuJVyi5e2v8SXx76kZ/2erBywkhbVrRgCvhAoA/IYM631NHzcfXhv33vGHepCaHOlX/wTsjKLtI9cRuTnY2yLii+m1oqyQNLDDP6z+Qz9Z+8h9m4Ks0e2ZuH4tnhVcc0/4+X9UCcInIo4cDA/mj6lzS9eSL9eiVOIOUD+vPInQ9YN4Vj8Md7r9B6fdfsMNyfzDE9JoAzIY4yzvTMfdfmIO6l3+M+h/xgXatwbHibCtaL3odcbET8vd17+6SjblRF5bEnPzGbJ3kt0/zSMuWEXGBhYh+2vdyM0wKvg5pT0FLh+TOu8YQ3qtIEK1Ut3b6z0B3DnQoFzgKRmpvLh/g+Z8ecMPCt6smLACob6DrV5k1VelAF5zPGv7s8k/0msu7COP68YiRfk0x2EvVmj0vOjsosj309qj59nZV5SRuSxQ0rJxlM36PPFTmb9HkWz2m6sn96F/w4LoGpFM3tTxR6G7EzLO9D12NlrzvTobVBQOB9bcfM0IPMNYXLm7hlGrB/BynMrmdBiAj8+9SM+7j4lp2MhUAakHPBiwIs0qdqEfx74JwkPE3InulaBeu2L7AcxxN3Vke+f64CfZ2Wm/HiUz7eeJSMru9jlKmzLkZi7PDN3Hy//dAxnB3sWT2zHT5M74F+nkGHIr+wHBNTvYBU9Ac0Pkpao21cpRN8Dy8gYkGyZzdLIpYzcMJLk9GTm957PG23fwMnegt2dLYwyIOUAJ3sn/t3l3yQ8TODfh/79qEDjnnAjHJKLP2Oju6sjP07uwODWdZj9x3mGfLOP8zfvF7tcRclz4VYyU344wrPf7if2Xir/eaYlG1/pSo+mNYvWlHJ5r/bitOL8F/j0AHvn0tuMFRcBTm7gXj/X5pspN3lx24t8duQznqjzBL+E/kInLys19VkQZUDKCc08mvFCwAtsurSJbZfz1DYa66LzFqE7rzHcXBz5bGgA345pw7WEVJ6evYfFey+Rna2myC0L3E5O4x+/RdDni13sib7NG719CXuzO8Pb1cfeVO+qgshMh6uHrdd8pce5khZl4ewmbcR3aUPvQDcIYfLnlT95Zt0zHL95nPc6vceXPb606diOwqAMSDlicsvJ+FXz48P9H3In9c5fCbVbQcUaxfaD5KWvf202v9qVLo2r88HvUYxddJDrCfkEeVTYlNT0LObsiKbbJ3/y86ErjGpf//+3d+dhVVXrA8e/7wEUlcEBEAQFVEQFh5RMLcshh8hZM81Mm0u7jVq36TZot1uW3QZtuFmWZVZaac5DWr8E5wHBeQBFRFEUBUSGs35/7G2hojKcgWF9nuc8bPbZZ693MZz37LX3fherJ3TjHz3CqFmtjFVdj26D/HNGyRF7a9YHTh2EtN32b6sklDKq8JrDVxXlRPnV6ARShbhZ3Jh04yQy8zKZtHbS33OoWyzGTYX7Vtq8JLafpzufj47izcGt2HLoNL3/+we/bDlSvPnbNYcosCq+33CIru+s4t3le7ixqQ/LnrqZiQMj8fWsbptGksx7kex1BVZhF+5KL2/FFU8fgvNnoH4kO0/u5M4Fd1aIE+VXoxNIFRNWJ4yxbcey4tAKFh8s9A/W9FY4lw4pW23epogwokMjFj/RhWb1PXny+608NmsLp7KuXUpesx+lFCt3HiP6/f/jubnbaVC7Bj8+0onP7omiia+HbRtLioF6YeDhZ9v9FsU70CjUWN7OgxyLxwp8dT6ZuxbdRVZuVoU4UX41OoFUQWMixtDapzVvrHuDtGzzxHmT7oDAvrJfjXUlwfVq8cPDnXi2TzjLdqTS+79/sHr3cbu1pxUtJ6+AWesO0fO9P7j/q43k5BcwbWQ7fnq0M9eH1LV9g9YCOLTWMcNXF4RHw+H1kHWVWnAOdjx5PY/4+/HOvh8q1Inyq9EJpApytbgy6aZJnC84z2uxrxnDSTXrGjdi2fg8yKVcLMLYrk35ZdyN1K7pxpgvN/DSL9vJzi3dnfBa8R0/k8M7S3fT6c2VvPDzdqq7WpgyrA3Ln7qF6FYB9ht7P77DuLTWkQmkWR9AGTMVOpmyWln0+ysMOjyXLe7uFe5E+dXYd75DrdwK9Q7l8eseZ/LGyczbP4+BTQcac6Wv/g9kpxsJxY4iGngz/7GbeHfZbj7/8yBr9p1kyrA2F5f91mwi/kgGX/x5kF/jUsi3Km5tUZ/7bwrlhtC6jjlhmxRjfHVkAgloA54NjPMg1410XLuXSE/fx6SF97LceprWVGNS1/cIDbnFafHYmj4CqcLubnk37fza8db6t0jNSjWr8yrY/5tD2nd3c+HF21sy64GO5OZbGfpJrL750EYKrIplCanc+WksfT/8kyUJqYy8IZhVz3Tlf/dE0bFxPcdd7ZO0BrwbQu1G197WVkSMmwr3/QZ5OY5rt5DfYt5m0LyBrCo4xRN12/PV3TGVKnmATiBVmkUsTLpxEgWqgFdiXkEFtIUade0+jHWpTk3qsfjJLgxsG8h3v21k2dsj2bpiNgX5elirpLLO5zNjzUG6v7uah2ZuIvnUOV6Ibk7s8z14tX8EIT61HBuQUkYBRUcefVwQHg15WZD4fw5t9kzGYV6c1Z0n9s7EDxdm3/Q2D/Sbgaubu0PjcAQ9hFXFNfRqyFPtn+Lf6/7NnP0/c0eT7ublvNYyz9dcEl7ubrw7rA2pGZPwP7IM/lzEkTX/4nCTkbSIHod3XcfN81wRpZw+x1cxicxaf4izOflc16g2E3qH0yfCH1cXJ35OPLkfso475vLdS4V0AbdaxtVYYT0d0mTMhqm8vP1jTlrgYe9IHo6ejlt1BydtB9IJROPO8DtZmbSSdza8Q+ewewmMnwOpcdCgrWMD2b0Y/yPLKLjlebae86PGlul03DeF7Pensq5eH/xu/QehLa93bEzl2LncAn7fk8avcSl/zQrZJ9Kf+28KpV15OZd04f4Pe9+BXhQ3d2jSDfYsAfWuMaxlJ9mZx3l3wT38cP4IoVh4v8PLRLa8w27tlRc6gWhYxMLrN77O4PmDefnEn3wOWPatcGwCOZ8JC8eDbwtcujxNe9dqEH0f++NiOLnqI9qcXIT7D/NIqNaa8+0fpHX34bi6Vcxr58vidHYuK3ceZ2lCKn/sTSMnz0rtmm7cf1MoozuHEHit+Tgc7VCsUWLdJ8w57YdHw64FxgeigDZ2aWLj1hm8vPldjlgUo2s15bG+X+Jeo5wkcDvTCUQDoIFHAyZETeDV2FeZHdScu/atgJvHOy6AVf+GM8lw3zJw/TsxNGndmSatO3P6RCpbF00l5MB3+Mf+g9TY1zgYOpzm0Y9RxzfAcXE6wdGMcyxLOMbShFTWHUynwKoI8HbnzqiG9I70p0NIXecOU11N0hpj+lpnlecI6wWIMYxl4wSSc+4UHy4Yw8ys/QQifHndBNq3GW3TNso7qUolJaKiotTGjaWfOKmyU0rx6MpH2ZyyljmHj9Do6b1GuXd7S9kK/+sG7cdA3/euumlBfj5xv82m2sbPiMjdRo5yI65OT+p2e4ymbZwwTGIn+45nsjQhlWUJqWxLzgCgqZ8HvSPq0zvCn1aB3uW/ZtLpw/DfSOjzH+j4qPPimN4L8s/Dw7/bbJfxO37khbUTOeiiuLN6EE/3/YqajrjL3klEZJNS6rJ5iPURiPYXEeHVTq8y+Jf+vORTmy/3/4ZL5GD7NlqQD78+YRRz7PHKNTd3cXXlul53Q6+7SdyxgeMrPyTyxBJq/ryInQtakt32fpp1H4VnDRvVcHIQpRRxyRksTUhlaUIq+9OyAGjTsDbP9gmnd4S/7cuL2NuFOTmccQVWYc36wMrX4EwKeDUo067yzmfxyaL7mJ6RgA/wacRYOkeNtU2cFZBOINpF/Gv5888Oz/NizL+YmTCDMfZOIOs/M+YiGfpliY92QlpeT0jLr8k4lcbaRR/TcN83tNjwDK/HbGVVnaFENPAiMtCbVoHeRDTwonbN8nHOJK/ASuKJLPYcy2T3sbPsPXaWLYdOk3omBxeL0LFxXUZ3DqFny/oEeJezcxolkRQD1b2uOvueQ4RHGwlkzxKIuq/Uu4nf8SOvrJvEHouV/tXq89ztM/DybmjDQCsePYSlXUYpxVPfdWN17gneb34ft3R82j4NZSTDRx2MT6gjfyzzOLm1oICsad3IyTnHS/4fE3/kDEcKlY8PqlODyAbetAry/iu5+HjY70ilwKo4nJ7N7mNn2ZN6lj3HM9mTepYDJzLJKzD+7ywCIfVq0SLAi+7N/ejRwq/cJLoy+6iDcfPg3XOcG4dS8EFb8Glm/J2VUHbmcT5a/CDfZu2nnhVebjGGbp0ceH6wHNBDWFqxiQj/7v8D9/7Yiwk7v2C6Z0NaRdj4kkSlYNEEQMHttrnE0uLiguf1I/Bc8k8+7eMJvlGcysolPiWD+CNniE/JIOFIBksSUv96jb+XO5GB3kQGehHZwLvI8uVFfcQq6oPXqexc9hzLNJPFWfYey+R8/t931QfVqUF4fU+6t/CjWX0PmtX3pImvB+5uLmXue7mTdQJO7IY2w50diXlXejRsmA65WVCt+Pdl/Ln+QybGf0aKCwxzD+LJ6Ol4egXaMdiKRScQrUg1PfyY2m82d8+/g3HrX+MbzwAaNbrJdg3sWgC7F0HPiVAn2Hb7jRgES1+A+LnQ7QXq1KpGlzBfuoT5/rVJxrk8dqScISElg/gjGWw/ksHKXcdsNoGdv5c7zfw9GdWxHs38PWlW35MwPw9qVa9C/27l5fzHBc36wNppsH8VtOh7zc3T0/fx9uIHWZh/glCEr9qOp12bexwQaMVShf6itZLy8WnOJz2mMuq3sTyy4lFm9p9DPZ/wsu845wwsehbqt7L91Tme/hByE2yfA12fL/LIxruGG52a1KNTk3p/rcs6n8/Oo2c4k5N32fbCFY6OLlntWd2VsPqeeNdwK1MXKoWkGHB1hwbXOTsSQ3BnqO5tFFe8SgJRViu//v4SkxPnkynwiHcrHoz+jGrVPR0YbMWhE4h2VSHBN/NRh5d5YP1Exv16J1/csazslyv+NhHOHoU7vwEXO7zZRg4xruw6urXYb2C1qrsSZY+5MKqqpDUQdD24lpOr4VzcIOxWo7z7Fcr0HE5ey8SVjxPLOdpQjVe7/IemTXo5IdiKwyl3H4nIHSKSICJWEbnsxEyh7b4QkeMiEn/J+skisktE4kTkZxGp+IX1y7E2EXcyucV97JR8xs/tT35eGeY1T94E6/8HHR6CoPa2C7KwFv3B4mYMY2mOl3MGUreXn+GrC8KjISsNjmy6aHV+Xg4zFjzA4OUPEGfN5oX6t/D1Pet18igGZ92+Gg8MBv64xnYzgD5FrF8ORCqlWgN7gOdtGp12ma4dn+bFwJ78H1lM/LE/ylqKkusFecaRgWcAdH/J9kFeULMuNO0B8T8ZnzY1xzq8HpTVOQUUr6ZpD7C4GufeTDt2/8Jd33Tk3ZPr6OjixS+3fcOIPh9hcdGDM8XhlASilNqplNpdjO3+ANKLWL9MKXWh1vdaIMjGIWpFGNbzPR7yiuCnvFQ+nndXyXewdhoc2w7Rb4O7l+0DLCxyCJw5AofX2rcd7XJJa4w36oYdnB3JxWrUMZLa7sWcy05nypzB3BX7EsdVPu80HsYHd/+Jv7+DC4hWcOW0gE6J3AcsvtKTIvKQiGwUkY1paWkODKtyemzALAZUq8/HZxKYu7wE94ecSoJVbxrDCM2vfRVMmYVHg2sNPYzlDIdiIaBtiS6XdZjwaGLPHmDw7Fv4MmsvA6oHMG/IInp3eRlx4PQFlYXdfmIiskJE4ot4DLBhGy8C+cC3V9pGKfWZUipKKRXl6+t7pc20YhKLhVeGzudGqcXEI8v4Y+2Ua79IKVj4DFhcIHqyYwrrVfcwZqRL+MUol6I5Rt454xxDcDkbvgKOZh7lmbNxPBRQHxfgi9ZP8tqI5Xh7O3CmxErGbgN9Sqlb7bVvABEZA/QFeqiqdDt9OeDmVpMpQ37l3h96MX7nF0z3DKRVxJ1XfkHCz7BvuVFUz9uBo42RQ4y2D642p+vV7O7IJijIdc78H1eQk5/DjIQZTN8+HYVibLPh3Nt2HO6OKBRayVXIYzYR6QM8C/RXSmU7O56qqGYtX6b2m01dJYxbP5FDSVeYNvTcaVjyT2NIo8NDjg2yaU+jFlP8T45ttypLigEEGnV0diQopVh5aCUD5w1k6tapdAnqwvyB83m004s6ediIsy7jHSQiyUAnYKGILDXXNxCRRYW2+w6IBcJFJFlE7jef+gjwBJaLyFYR+cTBXdAAH59wPukxFQU8snIsJ9N2Xb7RileNSyf7vW8MYTmSmzu06Ac7f4W8HMe2XVUlxYBfS+OEtRMdOH2AR1Y8wpOrnqSGaw0+7/U5U7pOoYFH2arxahdz1lVYPyulgpRS1ZVS9ZVSvc31KUqp6ELbjVBKBSil3Mztp5vrmyqlGiql2pqPR5zRD+3vGw3TRDFuwXCyM4/9/eShdbDpS7jhUcdPj3tB5BA4f8YYQtPsqyDPuITXifd/nM09y+QNkxkyfwjb07bzzw7/5Id+P3BDwA1Oi6kyq5BDWFr50ibiTt6+9EbD/Fzjng/vhtDtBecFF3qLMaWqvhrL/o7GQV6WUxKIVVn5Zd8v9Pu5HzN3zGRA0wEsGLyAkS1G4mbRpWXsRd8to9lEt45P8+LZZCamLGfij/14NbA3krYTRnxvXBHlLC6uEDEQtnxrzLvuzFgqu0MxxlcHJ5D4E/G8ue5N4k7E0dq3NVN7TCXCJ8KhMVRV+ghEs5lhPafwkHckP+UdY+qWD1HN+xmX0jpb5FDIP3fRHciaHSTFQN3GRkFLBzhx7gT/WvMvRiwcQUpWCm/c9AYzb5upk4cD6SMQzaYe6/8tx3+4jU/rQHpAEM8X5OFmj4KJJdHwBvAKNIaxWg9zbiyVldVqJJBilEovq7yCPGbvns20rdPIKcjh3oh7eaj1Q3hU00eXjqYTiGZTYrHw6rBF+Gx+n88TvuTAuVSmdJ1CXXcnVrq1WCByMKz9BLLTjVpZmm2l7YKc09DIfsNXBdYCFh1cxLSt00jOTObGBjfyXIfnCPUOtVub2tXpISzN5lwsLjwR9TRvdXmL+BPxjFgwgt3p1yx9Zl+RQ8GaBzvnOzeOyippjfHVDuc/lFKsOrSKob8O5YU/X8CjmgfTekzj41s/1snDyXQC0ewmunE0M/rMIN+az6jFo1iZtNJ5wQS0gbpN9NVY9pIUA54NoE6ITXe7IXUDoxaP4vFVj5NnzWPyzZP5vu/3dAnqgjiiJI52VTqBaHYV6RPJ7L6zCasdxpOrn+STbZ8UOZ+43YlAq6Fw8P/gbOq1t9eKTykjgQR3tlmds4STCTy8/GHuW3ofR7OO8kqnV/h5wM/0Ce2DRfTbVnmhfxOa3fnW9OWLPl/Qr3E/pm6dyvjfx5Od54QKNJFDAGXUx9Js59RByEy1SQHFAxkHeHr10wxfMJwdJ3cwPmo8CwctZGizofp+jnJIn0TXHKK6S3XeuOkNwuuGM2XTFA6dPcQH3T4gwCPAcUH4hhvzsMfPtf1c7FVZ0oX7P0pfQPFo5lE+3vYx8/bPw93FnUfaPMLolqP1lVXlnD4C0RxGRBgdMZqPun9E8tlkhi8czuZjmx0bRKshkLwBTiU6tt3KLCkGatQFn/ASvzQ9J5231r/F7T/fzoIDC7ir+V0sHrKYcW3H6eRRAegEojlcl6AufHv7t3hW8+T+Zffz014HVsuNGGx81SfTbScpxpjprwQTMp3NPcvUrVO5be5tzNo1i76N+7Jw0EKe6/Cccy/51kpED2FpTtHYuzHfRn/LhN8n8ErMK+w5tYfxUeNxtdj5T7JOMAR1gO1zocsz9m2rKjiTYpwDuf6BYm2empXKzB0zmbt3Lll5WfQM7slj1z1GY+/Gdg5UswedQDSn8a7uzbRbpzFl0xRm7pjJ/tP7eeeWd/Cu7m3fhlsNhcXPwvGd4NfCvm1VdknFq3+1O303MxJmsOTgEhSKXiG9uDfiXlrU0z//ikwnEM2pXC2uPHv9s4TVDmPi2omMWDiCD7t/SJPaTezXaMuBxiRX8XOh+0v2a6cqOBQL1TzAv/VlTymliE2JZUbCDGKPxlLDtQbDmw9nVMtRel6OSkInEK1cGBQ2iFDvUJ5c9SQjF41kbJuxjGg+wj51tDzrQ0gX2D4Hur3omDnaK6ukGGjYwah6bMqz5rHk4BK+SviK3ad241PDhyfaPcEdze6w/9Gl5lD6JLpWbrT1a8vsvrNp7dOayRsnM3DeQFYkrbDPjYethhpj9ylbbL/vqiI7HY7v+Gv4KjM3k68SvuK2ubfxwp8vkG/N5/XOr7N0yFIeaPWATh6VkE4gWrniX8ufT3t+yrQe03CzuPHU6qcYs2QMCScSbNtQi35gcdNXY5XFoVgAjtVvwZRNU+g5pyfvbHyHRl6NmNpjKj8N+IlBYYOo5lLNyYFq9iJOKSvhJFFRUWrjxo3ODkMrpnxrPj/t/YmpW6eSnpNO38Z9eaLdE/jXstF8E7OGw9Ft8FRCiS5B1QCl2Dn/Eb5JXskiL0+sykqv4F6MiRij5+OohERkk1Iq6tL1+hyIVm65WlwZFj6M6NBopsdP5+uEr1metJx7Wt7D/a3up5ZbrbI10Goo7FlsfJIOKf1d1FXJibSdLFw/hfnH1rPHxUoNj5oMazaMUS1HEeQZ5OzwNAfTRyBahZGSmcL7m99n0cFF1HOvx7jrxjGo6aDS3zuSmwWTm0Kb4dD3PdsGW4mcz8lg1fr3mZ+4iBhrJgUitLK60j/gJm7r/CzeXg2dHaJmZ1c6AtEJRKtwtqdtZ/LGyWw5voWmtZsyPmo8NwaW8gjix3vhwGoYvwecPXNiOaKsVrbtmM38+K9Zci6ZsxbBr0DRz7s5/duNpXFod2eHqDmQTiDoBFKZKKVYcWgFUzZOMWanC7yR8e3H07RO05LtaNdCmH0XjJwLYbfaJ9gK5GjKJn7d+F9+PbGVRBdwtyp6VPOlf/gd3ND2AVxc9QnxqkgnEHQCqYxyC3L5btd3fLrtU7LysxgSNoTREaMJ9gou3g7yz8PkMGgeDYM+sW+w5VR29glWrJ3C/MPLWa/OoURor6ozIKgbPW94Gg9PB1ZM1solnUDQCaQyO51zmk/iPuH7Xd+Tr/JpXrc5vUN60zu4Nw2vNUb/yzjYMQ8m7AW3Go4J2MlOpO1ibfw3rElZw8rcNM5ZhKAC6F+3FX3b/4OGDcs+t4dWeegEgk4gVcGxrGMsS1rGksQlxKXFAdCyXkv6hPShV0gvAj0CL3/R/t9g5iAYNhNa9ndwxI6Rk53O5oRZxCauICbzIHssVgBqWxXd3QPo3/Ju2rUahejLmbUi6ASCTiBVTUpmCssSl7E0cSnxJ+MBaO3Tml4hvegd0vvv+0kK8mFKc+OO6mFfOzFi27EW5LNn30Ji9vxCbHo8m9U5ckVwU4p2UoOOdSPoFDaAFmH9sLjoq/m1q9MJBJ1AqrLDZw//lUx2pu8EoK1vW3qH9KZXSC/8Vr0NW2bC+L3g7uXkaEvnWOpWYhNmEXN0HevyTpJuMWp8NbVa6OQRQufgW2kXeRc1a9ZzcqRaRaMTCDqBaIakM0ksTVzK0sSl7Dm1B0G4zrspvfevo2PUWIJueIxq7uW3bpOyWjl5chcHk2NJTNvOvlN7WZd1mP0uxv9yPauiUzU/OjXoSMeIu/Dzi3RyxFpFpxMIOoFolzuQccBIJgeXsD/jAAAWpWhghWCXmgS7+xLsFUyIT0saBbQnoH47XNyqOyS28zkZJCXHkHh0E4npu0nMTCYx9zSJ5HK20LkKd6uinaUWnX1a0zF8EM0a99HnMjSb0gkEnUC0q9t/OIYdB5aQdGofh7JSSMzNIIk8si1/l3t3U4pGVgvBrh4E16xPsHcowb6tCQm8gXr1wikoyMVqzSO/4DwF+ecpKMg1lgtyzUfeX8v51gvf55F9/hRJaQkczDjAwXPHSSzIJsWiUIVKzdcvUIS41CTE3ZdQrxBCfFsSGtgRf782+jyGZlc6gaATiFZyymrlRPpeklLWkXR8O0kZB0jKTiUp7yyHLFbybDyXSA2rIhhXQt28CfEIJKROGCH+7QgJ6kzNWr42bUvTiksXU9S0UhCLBV+fcHx9wrn0v6cgP5fUY1tJStlA4skdnDqXjqvFFRdxwcViPsQVV4srFovx1cXiiovFDRdxwdXiZqx3caO6Wy2CA67Hr34rLBYXp/RV00pKJxBNKyUX12oEBnYgMLADV58RXNMqJ32mTdM0TSsVpyQQEblDRBJExCoil42rFdruCxE5LiLxV3j+GRFRIuJjv2g1TdO0ojjrCCQeGAz8cY3tZgB9inpCRBoCvYBDNo1M0zRNKxanJBCl1E6l1O5ibPcHkH6Fp98DngWqzmVkmqZp5UiFPIkuIgOAI0qpbXKNyyhF5CHgIfPbTBG5ZuK6Ah/gRClfW1HpPlcNus9VQ1n6XOT8CHZLICKyAvAv4qkXlVLzyrDfmsALGMNX16SU+gz4rLTtFWp3Y1HXQVdmus9Vg+5z1WCPPtstgSil7DW9WxMgFLhw9BEEbBaRDkqpVDu1qWmapl2iwg1hKaW2A34XvheRRCBKKVXVDkc1TdOcylkhR6ElAAAHwklEQVSX8Q4SkWSgE7BQRJaa6xuIyKJC230HxALhIpIsIvc7I15TmYfBKiDd56pB97lqsHmfq1QtLE3TNM129J3omqZpWqnoBKJpmqaVik4glxCRPiKyW0T2icg/i3h+jIikichW8/GAM+K0pWv12dxmmIjsMEvQzHJ0jLZWjN/ze4V+x3tE5LQz4rSlYvS5kYisEpEtIhInItHOiNNWitHfYBFZafZ1tYgEOSNOWypG+ScRkQ/Mn0mciLQrU4NKKf0wH4ALsB9oDFQDtgEtL9lmDPCRs2N1cJ/DgC1AHfN7P2fHbe8+X7L9P4AvnB23A37PnwGPmsstgURnx23n/v4IjDaXuwMznR23Dfp9M9AOiL/C89HAYkCAjsC6srSnj0Au1gHYp5Q6oJTKBWYDA5wck70Vp88PAlOVUqcAlFLHHRyjrZX09zwC+M4hkdlPcfqsAC9z2RtIcWB8tlac/rYEfjOXVxXxfIWjrl7+CYw+fq0Ma4HaIhJQ2vZ0ArlYIHC40PfJ5rpLDTEP/+aYRR0rsuL0uRnQTETWiMhaESmywGUFUtzfMyISjHHj6m9FPV+BFKfPrwJ3m5fYL8I48qqoitPfbRhFXQEGAZ4iUs8BsTlTsf/2i0MnkJL7FQhRSrUGlgNfOTkeR3DFGMbqivFp/H8iUtupETnOcGCOUqrA2YE4wAhghlIqCGOoY6aIVOb3iPHALSKyBbgFOAJUhd+zzVTmP47SOAIUPqIIMtf9RSl1Uil13vz2c6C9g2Kzl2v2GeNTynylVJ5S6iCwByOhVFTF6fMFw6n4w1dQvD7fD/wAoJSKBdwxCvBVRMX5X05RSg1WSl0HvGiuq/AXS1xDSf72r0knkIttAMJEJFREqmG8ecwvvMEl44X9gZ0OjM8ertln4BeMow/MybuaAQccGaSNFafPiEhzoA5GNYSKrjh9PgT0ABCRFhgJJM2hUdpOcf6XfQodYT0PfOHgGJ1hPnCPeTVWRyBDKXW0tDurcLWw7EkplS8ijwFLMa7i+EIplSAirwMblVLzgcdFpD+Qj3GyaozTAraBYvZ5KdBLRHZgHOJPUEqddF7UZVPMPoPxpjNbmZevVGTF7PMzGMOTT2GcUB9TUftezP52Bd4UEYUxud04pwVsI2b5p66Aj3ku6xXADUAp9QnGua1oYB+QDdxbpvYq6N+Hpmma5mR6CEvTNE0rFZ1ANE3TtFLRCUTTNE0rFZ1ANE3TtFLRCUTTNE0rFZ1AtApNRDKLsc2TIlLThm0OFJGWNtxfTBlem2l+bSAic66yXW0RGVvadjStKDqBaFXBk0CJEoiIuFzl6YEYhfhsQinV2Qb7SFFKDb3KJrUBnUA0m9IJRKsURKSrOafDHBHZJSLfmnfbPg40AFaJyCpz214iEisim0XkRxHxMNcnishbIrIZuENEHhSRDSKyTUTmikhNEemMUYFgsjlXSBMRaWsWmYwTkZ9FpI65v9VizCuyUUR2isj1IvKTiOwVkUmFYs8stPyciGw32/xPEf0MNWPffsk+Qi7MASEiESKy3owvTkTCgP8ATcx1k0XEQ4y5MDab+xpQaD87ReR/Ysz9skxEapjPNRWRFWZsm0Wkibl+gvlzihOR12z6i9XKN2fXr9cP/SjLA8g0v3YFMjBq+1gwyo/cZD6XCPiYyz4Ydx3XMr9/DvhXoe2eLbTveoWWJwH/MJdnAEMLPRcH3GIuvw7811xeDbxlLj+BUR49AKiOUV+s3iV9uA2IAWqa39ctor/zgXvM5XGFXhuCOQcE8CEw0lyuBtQo/Ly53hXwKvQz2YcxR0QIRpWFtuZzPwB3m8vrgEHmsjvGUV0vjHlExPy5LwBudvbfhX445qFLmWiVyXqlVDKAiGzFeDP885JtOmIMP60RETDeYAvXuvq+0HKk+Sm/NuCBURbjIiLiDdRWSv1urvoKY6KiCy6URdkOJCiz7pCIHMAoale4JMytwJdKqWwApVRR8zrcCAwxl2cCbxWxTSzwohgz7P2klNpr9vWi0IF/i8jNgBWjpHd987mDSqmt5vImIEREPIFApdTPZmw5Zj96YSSRLeb2HhiFNv8oIi6tktEJRKtMzhdaLqDov28BliulRlxhH1mFlmcAA5VS20RkDGZByVLGZL0kPusV4iuOq9YfUkrNEpF1wO3AIhF5mMuLX44EfIH2Sqk8EUnEOKooHDMYP8caV2lOgDeVUp+WIH6tktDnQLSq4CzgaS6vBW4UkaYAIlJLRJpd4XWewFERccN4w71sf0qpDOCUiHQxnxsF/E7pLAfuvXDFmIjULWKbNRhFHrkkpr+ISGPggFLqA2Ae0JqLfwZgzDh43Ewe3YDgqwWmlDoLJIvIQLON6macS4H7Cp1HChQRv2L1VqvwdALRqoLPgCUiskoplYZRQfk7EYnDGO5pfoXXvYwx7r8G2FVo/WxggohsMU8kj8Y4qR4HtMU4D1JiSqklGENeG80huPFFbPYEME5EtnPlmeSGAfHmPiIxpjA9iTFsFy8ik4FvgShzP/dc0r8rGYVRjToO41yNv1JqGTALiDX3NYeLE5VWielqvJqmaVqp6CMQTdM0rVR0AtE0TdNKRScQTdM0rVR0AtE0TdNKRScQTdM0rVR0AtE0TdNKRScQTdM0rVT+H4mop/GzNbzkAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
@@ -174,7 +174,7 @@
},
{
"data": {
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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -186,7 +186,7 @@
},
{
"data": {
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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -198,7 +198,7 @@
},
{
"data": {
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0Gk1eISJzqaaSEZ5yryml7lFKfWLBgmlTVDQajUbjAJ5SOiJynoj8/MCBA06LotFoNJoJ8JTS0ZaORqPRuBvPzuloNBrNbInFYnR0dDA6Ouq0KLZQUFBAU1MTwWAw5/v2ZJ7OmjVrlA4k0Gg0s2XHjh2UlpZSVVWFUaLPOyil2LdvHwMDAyxevPiQdSLyjFJqjZ3795R7Tc/paDSabDA6OupJhQMgIlRVVTlmxXlK6eg5HY1Gky28qHAsnDw2TykdjcbNxA/so3/d7dNvqNF4GE8pHe1e07iZ/X+4lj0/uJLYvtk0adTMJ04//XQeeuihQ5Zde+21XHHFFWzevJm3v/3trFixgqVLl3L11VeTTBo99m688UZqamo49thjx18vv/yyE4cwKZ5SOtq9pnErKplk8On7AYh26E4ZmqlZu3Ytt9xyaFPdW265hYsuuojzzz+fq666im3btvHiiy+yYcMGvv/9749v94EPfIDnnntu/LVq1apciz8lnlI6Go1bGd3+N+L7ugCtdDTT8973vpf77ruPaNRorLpz5046OzvZvn07J598MmeeeSYARUVFXHfddfzXf/2Xk+LOCE/l6Wg0bmXwyXshEMQXDBPdvd1pcTQzIPKr/8fYjs1ZHTO8eDW1H/vGpOsrKys54YQTeOCBB7jgggu45ZZbeP/738/mzZs5/vjjD9l26dKljIyM0NfXB8Ctt97K+vXrx9c/+eSTFBYWZlX+ueApS0fP6WjciFKKgafuo/iYtxFatEJbOpqMSHWx3XLLLaxduzaj76W719ykcMBjlo5S6h7gnjVr1nzcaVk0Goux114g3tNB1fv/mZEtTzP0zMNOi6SZAVNZJHZywQUX8LnPfY5nn32W4eFhjj/+eP72t7+xbt26Q7Zra2ujqqqK8vJyR+ScKZ6ydDQaNzLw1L3gD1Cy5kxCC5eTOLCXxECv02JpXE5JSQmnn346l1566biVc8kll7B+/Xoefth4cBkZGeGzn/0sX//6150UdUZopaPR2IhSisGn7qPo6FPwl1YQaloOQHS3drFppmft2rU8//zz40qnsLCQu+++m2uuuYYjjjiC6upqTj75ZC655JLx79x6662HhEw/8cQTTok/IZ5yr2k0bmNs52Zie3ZSccE/ABxUOh2vUnjkCU6KpskDLrzwQtLrYx511FE88sgjANx55518/vOf5+KLL6alpYWPfvSjfPSjH3VA0szRlo5GYyODT90HPh8lJ5wFQLC6CQkV6Ag2TVa48MILaWtro6WlxWlRMsZTSkdHr2nchFKKgSfvpXDVSQQWVAEgfj+hxiVa6WjmLZ5SOroigcZNRDteIdb5GqVvOfeQ5aGFy3XYdB7gxbYvFk4em6eUjkbjJgafvBdEKDnh7EOWhxYuI9bTTnJsxCHJNNNRUFDAvn37PKl4rH46BQUFjuxfBxJoNDYx8NR9FK48kUBF7SHLQ03LQSmina9RsPgoh6TTTEVTUxMdHR309PQ4LYotWJ1DnUArHY3GBqK7XyX6+lZqLv33w9aFFh4Mm9ZKx50Eg8HDumpqsoN2r2k0NjDwlFFRuuTEcw5bF2xcAj6fntfRzEvyQumISLGIbBKRdzkti0aTCYNP3kvBijUEqxoOW+cLhgnWthDt0BFsmvmHrUpHRG4QkYiIvJS2/CwR2SYi20XkqgyG+jJwmz1SajTZJdq1g7Gdmyl98+TPSKGmZboqgWZeYveczo3AdcBvrAUi4gd+BJwBdAAbReRuwA98O+37lwJvAF4GnAm10GhmyOBT9wFQ8ubDXWsWoYXLGXruUVQijvj11Kpm/mDr1a6UWicirWmLTwC2K6XaAETkFuACpdS3gcMeDUXkNKAYWAWMiMj9SqmknXJrNHNh4On7CS87lmDN5NFBoablEI8R695FqHFpDqXTaJzFiTmdhUB7yucOc9mEKKW+qpT6J+B3wC8mUzgi8glz3meTV8McNe4n1tPB2PbnKH3zuVNuNx7BpoMJNPOMvLHrlVI3TrP+5yLSBZwXCoWOn2pbjcYuDrrWplM6ywCr2vRZdoul0bgGJyyd3cCilM9N5rI5o8vgaJxm4Ml7CS8+ilB965Tb+YvL8FfWE939Wm4E02hcghNKZyOwXEQWi0gIuAi4OxsD64KfGieJ7etk9JVnKJkiai2V8MJl2r2mmXfYHTJ9M/AksEJEOkTkMqVUHLgSeAjYAtymlNpspxwaTS4YNBNC0wt8TkaoaTnR3a96sr6XRjMZdkevrZ1k+f3A/Tbs7x7gnjVr1nw822NrNNMx+NR9hJpXZhyNFmpcRnJkkPj+PRMmkWo0XiQvKhJoNG4n3tvNyNYNGVs5gG5drZmXeErp6DkdjVMMPv0AKJXxfA4c2rpao5kveErp6Og1jVMMPHU/oYXLCC86IuPv+Mtr8RWV6S6iHiO6ezujbS86LYZr8ZTS0ZaOxgniB/Yx8vITM7JyAETECCbQlo6n6PqfK9jzw886LYZr8ZTSccrSUUox+MzD7L/jh6ikrtAz3xjc8CAkkzOaz7EILfR24c/BZ//Mnp98gWR01GlRcsJY+zbGdm4mtmenvhdMQt5UJHAjKhFn4PG72X/ndURf3wpA8XHvINyy0mHJNLlk8Kl7CdYvJtSyasbfDTUtp/+RW0kM9uEvKbdBOmcZfPIe+h+5jURvhMYv/hIJhpwWyVYG1t0OgIqNEe/dQ7Cq0WGJ3IenLJ1cudeSY8P0PfArdnzmZPb84EpQiqqLvgTA2E6dcjSfSAzsZ/jF9ZS85VxEZMbf93oNtnhvBCkoZujZh+n6wWdQibjTItmGSibpX38HvmLD0xLrft1hidyJp5SO3e61xGAf+/7wfXZccSKR679KoLyWxqtupOV7f6by3VcioQKtdOYZgxv/CMnElL1zpsLrYdPx3ghFR51EzUeuZvDJe+j+yRc863Ya3baReE8HFedeDkBsz05nBXIp2r2WAfH9e+i99+f0/fEm1OgQxcf9HRUXXknhyhNSnm59hJtXMrpDK535xOBT9xGoXUR4ydGz+n6wZhESDHs2gi3RF6HwiOOoOO+TJEeH2Hfrd5FwIbWXf2tWlqGb6V93OxIupPycy9j3+2u1pTMJWulMQbTzNfbf9RMG/vp7VDJO6UkXUHnhpwm3rp5w+/Di1Qw8eR9KKc/9oTSHkxg6wNAL66g457JZ/97i9xNsXOrJ1tUqESfRvw9/eS0Ale/9HMnRIXrv+gm+giKqP/g1z/xPVCzKwJP3UvKmd+IvKSdYvZBY906nxXIlnlI6InIecN6yZcvmNM7oay+w/47rGHz6PiQQouzv1lJx/qcI1bVM+b1w62oO/Om3xPd1EqyetEWQxiMMbfoTxGMzDpVOJ7xwGaOvPZ8lqdxD4sBeUIqAqXREhOoPfo3k6LCpeIqpet/nHZYyOww99wjJwV5K3/r3AATrmrWlMwmeUjpzrb02/NLj7L/9Bwy/8Bi+olIqL7yS8nMvJ1Bek9H3LQtobOdmrXTmAQNP3UegupGC5W+c0zjBhcsYePIekmMj+MKFWZLOeeK9EQACFbXjy0SE2suuQY2NmK62IirP/5RTImaN/sdux19WSfEb3gZAsL6VwaezXl7SE3hK6cyVgcfvZuz1bVR/8KssOOND+IvLZvT9cPNKEGFsx2ZK1pxpk5QaN5AcGWT4uUdZcOaH5uwiCjctB6WIdbVN6rrNR+J9htKx3GsW4vNRd8V3SY6NsPc338AXLqL8nR92QsSskBgeYGjTnyh7+0VIIAhAsLaZRP9+EsMD+ItKHZbQXWilk0L1xVdR87Gv4wsVzOr7vsJigg2LdQTbPGDwmYdRsbFp21JnghU2PdbxqqeUTqK3GzjU0rEQf4CGz/6QzrERIr/8F3wFRZS97b25FjErDD59Pyo6SpnpWgPD0gGIde/Cv/gohyRzJ54KmZ4r/tKKWSsci3Draq105gGDT92Hv6KOghVvmvNYwcYl4PN5Lmzacq/5J3FPSzBEwxd+TuHqk9nzo39iwGz1nW8MPHY7wboWCo44fnxZsK4Z0Lk6E6GVTpYpaD2KWPcuEkP9TouisYnk6DBDz/6ZkhPPRnxz/wv5QgUEa5s9F8EW74vgK6nAFwxPuo0vVMDCL/+KguXH0XXtpxl89s85lHDuxHu7GX7pcUpPefchbtZgXSuAjmCbAE8pHTcU/BwPJtj1smMyaOxl6G9/QUVHZ50QOhFerMGW6I1M6FpLx1dYzMKv3ES4+Ui6vvtxhl96PAfSZYeB9XdBMknZqe8+ZLm/uAxfSYW2dCbAU0rHDa0NwotNpbPjJcdk0NjL4JP34i+ronDliVkbM9S0nFhnm6fKxMT7IhlHfvqLF9D0td8RrGth93c+wsi2TTZLlx36H/sD4SXHjM/LpRKsb9FVCSbAU0rHDfjLa/EvqNbzOh4lOTbC4LMPU3LiOYjfn7VxQwuXo+JRYhHvPBnH+yL4K+oy3t5fVkXT/7uFQHkdu6/5oOt70kR3v8pY24uHBBCkEqpt9tTvmS200skyIqKDCTzM8POPokaHKZlFG4Op8FoXUaWU4V7L0NKxCFTU0XT1rfiKStn9zbWMtb9ik4Rzp3/dHeDzUXrKBROuD9a3Euvp8JT1mg200rGB8OKjiLa/gopFnRZFk2UGn34QX0kFRavektVxx6tNe6QGW3K4HxUbIzADS8ciWNNE09W3gS9Axzc+QHJk0AYJ54ZSioH1d1B01CmTHmOwrhkScWJ7d+dYOnejlY4NhFtXo+JRz9xANAcZ3vIURUedPJ4EmC38xWX4K+o8E0wwHi6dQSDBRIQaFlN7+TUkertdae2MvvIMse5dlJ46sWsNUiPYduVIqvzA9UpHRE4TkcdE5KcicprT8mRCweKD5XA03iG2r5N4pJ3CI+eemzMRoYXLPRM2nTCrEQTKZ6d0wMjqB6PKu9voX/cHJFRAyQlnT7rNeK7OHq10UrFV6YjIDSISEZGX0pafJSLbRGS7iFw1zTAKGAQKgA67ZM0mwfolSKiAUa10PMXo1o0AFB55gi3jhxYuJbr7VZRStoyfS+JTVCPIlEBVgzHW/q6syJQtVDzG4JP3ULzmjClL3AQqG5BASFs6adhdBudG4DrgN9YCEfEDPwLOwFAiG0XkbsAPfDvt+5cCjyml/ioidcB/A5fYLPOcEb+fcMsqbel4jJGtG5GCovGw+GwTalpOcniARG83gcp6W/aRKw5WI5i90vGXVkIg6DpLZ+j5v5Lo30/Zqe+Zcjvx+wnULtJKJw1bLR2l1Dpgf9riE4DtSqk2pVQUuAW4QCn1olLqXWmviFLKajPYC0ya2iwinxCRTSKyqaenx5bjmQlWBJsXnlo1BiNbN1C4/DjEb8+zWtim1tUqEWf3tz7E4DMPZ3XcqUj0RZBQAb6imRXNTUV8PgIVdcT3d2dRsrkz8Njt+EoqKH7DadNuG6xr0UonDSfmdBYC7SmfO8xlEyIify8iPwNuwrCaJkQp9XOl1Bql1JqampmFadpBuHU1ycE+4jpyxRMkhgcY2/UyBTa51uBg2PRYloMJhl9cz9Czf2b4uUezOu5UxHsjBMpr51yB21A67rF0kiODDG54kNKTzkOCoWm3D9UbSkc/fB7E9VWmlVK3A7dnsm22mrhlg9TKBMGaJoel0cyV0VeegWSSwpX2KR1/RR2+otKsWzoDj98JQHxf7uZGEn2RSQt9zoRAZQNjr2/JgkTZYXDDg2ZF6XdPvzEQrG0hOTxAcrDXcBdqHLF0dgOLUj43mcs8xXhvHT2v4wlGtm4An4/C5cfZtg8RMSLYshhqn4yOMvj0A4ARfZcr4r2RWeXopBOoqneVpdP/2O0EahdlXF08WG90G47qCLZxnFA6G4HlIrJYRELARcDd2RjYDbXXLHwFRQQblugINo8wsnUj4dbV+ApLbN1PqGlZVi2doWf/QnJ4gGBtc04tnXhfT5YsnXrU6JArEkTjfT0Mv7COslPenXF18aDZ4l7P6xzE7pDpm4EngRUi0iEilyml4sCVwEPAFuA2pVRW7sxuqDKdSoEuh+MJVDzG6KvP2hYqnUpo4XISfRESQ9m5hgfW34l/QTWlb/17Egd6clIlIxkbIznYmx1Lp8KI4mA/cOsAACAASURBVHND2PTA40ZF6dJJaq1NxMG+OlrpWNgdvbZWKdWglAoqpZqUUteby+9XSh2hlFqqlLomi/tzjaUDxrxOPNKetRuIxhnGdm5GjY3kRulksQZbYniAoWcfpvSk8wnWNoFS4/kzdpLoM6JHZ1p3bSKs0PH4PuddbP2P3U64dTXhRUdk/B1fuAh/ea1WOim4viLBTHCbpRNuNdrUju3UvXXymZEtGwBsq0SQSjZrsA2Zk96lp1xIoKoRgHgO5nUOlsDJzpwOOF+VINrVxtj25yidJjdnIowWB1rpWHhK6bjP0rGUjnax5TMjWzcQrGvJScJmsLYZCYazUoOtf/2dxqT3EcePZ/fHcjCvk+ibezUCi3FLx2Gl07/udhCh9OSJK0pPRbC2hVhEKx0LTykdtxEor8FfXsvYTt3QLV9RSjGydUPG0UpzRfx+gg1L5uxeix/YZ0x6n3whIkKg0iwpkxNLx3KvzV3p+MJF+IoXEO91TukopRh47A4KV59M0FTeMyFU30J8XxfJ2JgN0uUfnlI6bnOvgVmZYIe2dPKV2J4dJA7stTU/Jx2jdfXc3GuDT94DyQSlp1wImO2TC0tyEsEW7+sGEfwLqrMyXqCiztE5ndHtzxHbsyPj3Jx0gnUtxnxapH36jecBnlI6bnOvgRFMMNahe+vkKyM2F/mciFDTMmKR10lGR2c9xsD6OwktWkG4ZeX4skBVQ06UTqI3gr+sKmvlggKVzubqDKz7AxIMU/Lm2TXus8KmozqYAPCY0nEjBa2rIR7zTJ+U+cbI1g34SioILcxdlYvQwuWQTBLrbJvV92M9HYxs3UDpKYc+mQcqG3KSIBrvi2RlPsfCyQRRlYgz8MTdFB9/Bv7i2dWR07k6h+IppeNW9xqgk0TzlJEtGyg8ck3GyYDZIGyFTc/yQWXg8bsADmujHKhuzI17rTeCv3zukWsWgcoG4n0RVCKRtTEzZfiFx0gc2EvZqbNzrQH4y2uQcKGOYDPxlNJxo3stWL8YCRcytkMHE+Qb8QP7iHW+llPXGkCwYYlRQmmWwQQD6++kYPlxhMwnbItAVQOJvggqHsuGmJOS6IsQqMhe0d1ARR0kEyT692ZtzEzpf+x2fMULKHrj22c9hoiY1aZ3Zk+wPMZTSseNjPfW0cEEecfottzl56TiCxcSrG2elaUz1vEqYzs3jwcQpBKobLQ9QVQlk8T7eghk1dJxJkE0OTrM4IYHKH3Lu/AFJ+2qkhGG0nk9S5LlN1rp5ADdWyc/GdmyAQmGCS99Q873PdvW1QPr7wCfj9KTzj9sXbDa/gTR5GAvJOJZqbtmMR7uneNSOIMbH0SNDs8qITQdq6+Ovgd4TOm4cU4HzN46w/3Ee/Ki27bGZGTbJgqWvmHOT7mzIdS0jFhX24zmMZRSDKy/i6LVJ004kT/e/tnGeR2rGkE26q5ZjFclyEEJn1QGHruDQHVjVtyroboWVHSURF8kC5LlN55SOm6c04GDwQQ6STR/SI4NM9r2AgU5zM9JJbRwOSo2RiySuUtm7LXnie3ZcVjUmsV4VYK99lk6lmLIZvSav6wafP6cRrDFD+xj6LlHKZ1BRempCNa3AhDbs3POY+U7nlI6biXcciT4fIzqeZ28YXT78xCP5TyIwGK88OcMkkT719+JBEKUvPmcCdf7isqQgmJb3VRWsU9/FqoRWIjfT6C8NqfutcEn7oZkgrIZVJSeioPVpvW8jlY6OcAXLiLUsETXYMsjRraaQQQr1jiy/9AMw6ZVIsHAE3dT9MbT8RdPbOmLCEGbE0THLZ0sKh0wE0RzGEjQ/9jthFpWHZJcOxeCNYtAhKiOYNNKJ1eEFx+llU4eMbJlA6FFK/CXlDuyf3/xAvzltRnXYBvZ8hSJ/XumLdVid1WCeF8PUlCMr7A4q+MGKutzNqejkklG216g+NjTsjamBEMEqhq1pYNWOjkj3LqaeE8HicE+p0XRTINKJBh9ZZNjrjWLmdRgG1h/J1JQTPHx75hyu0BVo61VCRK93VkNIrDwV9blbE4n3rsH4rHxSgLZIljfqud08JjScWv0GqQGE+jeOm4n2r6V5PBATot8TkSoaTnRjlenDbNVsSgDT91HyZveiS9cNOW2gaoGEr3dtiWIxvsiWWnelk6wsoHk0AGSY8NZHzsdqzBnsHZRVscN1jXPKDDEq3hK6bg1eg1SlY52sbkdJ4p8TkRo4TKSw/3ThtkOPf8oycE+SjOoghyoMhNEbQrdjfdF8Gcxcs0il311YmZqQ7CmKavjhupaSfT1kBwZyuq4+YanlI6bCZTX4K+o0+Vw8oCRrRsIVDYQyPJNZ6Zk2rp6YP2d+EorKD7m1GnHDFodRG0Km070Rmxxr+WyKoE175Lt3388gm2eWzta6eSQcOtqXfgzDxjZuoHCI9+EiDgqx3jr6imUTnJ0mMGND1H65nchgeC0Y44niNoQfpwcHSY5MmiLe+1ggmguLJ12/BV1+EIFWR03WNdqjD/PI9i00skhBa2riXa8ojsIuphYTwfxvZ0U5Lje2kQEKuvxFZYwNkXY9OCmh1BjIxm51sDeqgSWy85vRyBBRQ7da5GOrLvWQOfqWGilk0PCi1dDIk60/RWnRdFMwnh+jsPzOWDk1UxXg21g/Z0EqhoyltdXvAApKLKlKoE195TtHB0Af1Gpmdhqv9KJR14nWNuc9XH9pRX4ihcQnecRbK5XOiLiE5FrROSHIvIRp+WZCzqYwP2MbN2Ir7Aka0mBcyXUtHzSBNHEQK9RquWk8zMu1SIiRn8aOyydXvuUDuQmQVQl4sT2dWY9cs0iWNesLR07BxeRG0QkIiIvpS0/S0S2ich2EblqmmEuAJqAGJDXFTODda1IQZFWOi5mZOtGCo44PmutludKaOEyEr3dJIb6D1s38NT9EI9l7FqzCFY12DKnYyVv2uFeA7OZm81zOvH9eyARJ1Bjl9JpnfcdRO22dG4EzkpdICJ+4EfA2cAqYK2IrBKRo0Xk3rRXLbACeEIp9XngCpvltRXx+wk3r9RKx6Ukhg4QfX2LK1xrFlPVYBt4/E6CjUsILz56RmMGqhttiV5L9PWAP4C/tCLrYwMEcpAgGrNydOpstHR62h3pguoWbFU6Sql1wP60xScA25VSbUqpKHALcIFS6kWl1LvSXhEM66bX/O6kv5SIfEJENonIpp6eHjsOJytY5XB0Xw33MbrtGVDK8aTQVCarwRbb18XI5icoPfnCGUfZBSobifd1oxLxrMkJhqUTWFBjW2tvqxSOSiZtGR+MyDUwa6XZQLCuFeKxnPcGchMZXR0icruInCsi2biaFgLtKZ87zGWTcTvwThH5IbBuso2UUj9XSq1RSq2pqcl+yGa2MHrrDIxnPWvcw8jWDeAPULDsjU6LMk6wthkJhA4Lmx584h5QirIJOoROR6CqAZLJrCeIxvt6stq8LZ1AZT3EYyQG0p9js0c80g4iBMyGd9kmNB7BNn9dbJkqkR8DFwOvish3RGSFjTIdglJqWCl1mVLqM0qpH021rZvL4FgULD4KQOfruJCRrRsILz4KX8HUpWRyifgDBBuXHGbp9D9+J+ElRxNauGzGY46HTWfZxWbUXbMniABSO4ja52KLRdqNUHWbGvfpvjoZKh2l1MNKqUuA44CdwMMi8oSIfExEps9IO5TdQKrt2mQumxeEFq0An083dHMZKhZldPtzrprPsQg1LjskbDra1cbY9ucoPXnmVg6kVCXIcgRbvM+eagQWgUpjbLuVjl2uNTAVvj9AVFs60yMiVcBHgcuBvwHfx1BCf5rhPjcCy0VksYiEgIuAu2c4xoS4ufaahS9cSKhxmS6H4zJGd7yIio66U+k0LSMW2UUyOgrAwPq7QITSUy6Y1Xh2JIiqRIJE/z773WvYrHR62gnYFC4NpuVas0i716ZDRO4AHgOKgPOUUucrpW5VSn0GKJniezcDTwIrRKRDRC5TSsWBK4GHgC3AbUqprPia8sG9Bsa8jo5gcxcjW6ykUOcrEaQTaloOySSxrh0opRhYfweFK08ct1hmiq+kHAkVZLXFQaJ/LyST9lo65bUgYtskvIrHiNuYo2MRrG8htmf+Kp1MkxF+oJR6ZKIVSqlJWysqpdZOsvx+4P4M950xSql7gHvWrFnz8WyPnU3Ci1czsP4OEgP78ZdWOi2OBmM+J9iwxJa6YXNlvAbb7ldRyQTR3dupPefyWY8n5kR5Ni0dKzE0m22q05FAEP+CGtssnfi+LkgmbXWvAQTrWhjd/pyt+3AzmSqdChFJbxZ+AHjRDGt2BSJyHnDesmUzn1zNJam9dYqOPsVhaTRKKUa2bqBkzZlOizIhocalRqvjjlcZfe0F8Acofcu5cxozUNlIPIuWjhUJZ2cgAZhh0/vt6SA6Hi5tt6VT10JysI/EYJ9jnWmdJNM5ncuAXwKXmK9fAF8GHheRD9kk24zJhzkd0OVw3EasczvJgV5XutbAmAcM1ixirOMVBh6/i+I3vA1/WdWcxgxWNWRV6SRsLoFjYWeCqFWexo66a6lYHUnnazmcTJVOEFiplHqPUuo9GJUEFHAihvLRzIDAgmr8lfWM7tBKZzaoZJKe//0WY1kqnHpwPsd9QQQWoablDG36E/G9uymdRW5OOoHqRuK9kawliI5XmLbZPRmotKeED5iWjs83HmhhF6FxpbPT1v24lUyVTpNSKtWmjQCLlFL7MWqiuYJ8CSQAo82BtnRmR3T3dnrvuI7d3/ogif59cx5vZNtG/GWVBBuXZkE6ewgtXIaKjiKhAkre9M45jxeobIBkgnhfdqp3xHu78ZWUZ70HTTqBynqSA73jkXzZJBbpIFDZkFFforkQnOcJopkqnUfNWmgfMSs932UuKwb67BNvZuSLew0MF1t096u2/Hm8TqzrNQDiPR10fu+TqPjcnntGtmyk4MgTHG/aNhVWOZziNWfgK5w0YDRjDoZNZ8fFlujryUkQhhU2bbnzsoldLQ3S8RWW4F9QTXSeRrBlqnT+AfgVcKz5+g3wD0qpIaXU6XYJ52XCrWZvnQ7dW2emRDvbAKi97BpGNj9B5MarZz1WvDdCbM8OV7vWAAqWvgGAstPen5XxgtXZTRCN93bjL7cvXNriYK5O9l1ssZ5224MILIJ1LfN2Tmfa6DWzKvTDpnL5g/0izZ58iV4Ds6EbMLZjMwVLjnFYmvwi2tWGv7yG8rM/Rqynnd67f0q4ZTXlZ1wy47FGtm0E3D2fA8ZDyuKfbZp1bk462U4QTfT1ULD8uKyMNRV2JYiqWJT4/j0EbOgYOhHBupbxhoHzjWktHaVUAkiKiOt9VvnkXjN66xTreZ1ZEOtsI9SwBIDqS75K0bGnEbn+K4xseXrGY41s2YCECsZr4rmZbCkcAF9JBRIqyIp7TSllVJi2OVwa7FM6sb27Qanx+Ra7CdY1E9/XiYpFc7I/N5Gpe20QeFFErheRH1gvOwXzOuLzEW5dpZXOLIh2tRFsNJSO+P00/NOPCdYsovO7HzduHjNgZOsGCpa9EQmG7BDVtYgIgarGrFQlSA4PoKKjtjVvS8VXvMBQltlWOja3NEgnWN9qVJnYm9d9KWdFpkrnduBfMVoLPJPy0swBqxyOnf1BvEZiqJ9EX8+4pQPgLymn8cu/QkVH6fzPS0mODWc0VnJkiLEdL7mqf04uCVRlp211oi83OTpgtduuz7rSsVqN5GxOp3b+5upkWmX618BtwFNKqV9bL3tFmzn5FDINRth0cmSQWGT+XXizJda1A4BQ45JDloebllP/jz9ibMdLdP/kCxk1yRvd/jdIJlw/n2MXgcrsJIhaJXBy4V4DbFE6sUg7+APj7ju7CdWbSmcetjjItODnecBzwIPm52NFJCuVobNJPs3pAIRbjXkE7WLLnKgZLh1sODynpmTNGVSvvYqB9XfSe+eUrZcAs2mbCAVHHJ91OfOBYHUj8f3dc26dfDAxNL+VTrCqEfFnWhlsbvjLa42iq/MwVydT99q/YbSZ7gNQSj0HLJnqC5rpCS06Anx+xnRlgoyJdraBCEHzSTGdindfSelJ57P3d99m8Nk/TznWyJYNhFtW4i8us0NU12N0EE2QODC3BNGEE5ZOb3dWW77b3dIgHfH5CNY2z8u+OpkqnZhSKt1npSci5ogvXEho4TLd0G0GxLraCNYsmrSzo4hQ9w//Tbh1NXuu/fRhHTctVCLOyCvPULDCnfXWcoEVNh2b47xOvK8bCYbxFefGwxCoqEdFR0kOZi8vPRbJXY6ORbCuWc/pTMFmEbkY8IvIchH5IfCEjXLNG3RvnZkR7TwYuTYZvnARjV+6AQmE2P0fHyMxdPgc39iul1GjQ/M2iAAgMN5BdG7zOvHeHvzlNTmr6BCoym7YdDI6SqK3O2eRaxbB+lZi3TuzarHlA5kqnc8Aq4Ex4GagH/gnu4SaT4RbVxPf15WVGmJeRylFrKvtkMi1yQjWNNHwhV8S636drv/59GHzFvlQ5NNugllKEE30ddvavC2dbOfqxM0w+9xbOi2o0eF599/PNHptWCn1VaXUm5RSa8z3risalm/Ra5BSmWDnyw5L4n4SfT0kRwantXQsiladSO1l1zD83CPs/d23D1k3sm0jgeqFBKsX2iFqXuArrcxKgmi8r8f26tKpBCpNZZmlUjixHIdLW4y3OJhnEWyZRq8dISI/F5E/ishfrJfdws2UfIteAwi3GEpnVLvYpiXaZdRcy8TSsSg/80MseOdH6L3rx/Svux2wmrZtnNdWDlg5Lw3E987VvZZbS8dvBixkq5mbpXRyGUgAKWHT8yyYINP4wP8DforRyG1u8ZWaQwgsqCJQ2aDndTIg1mmES4dm2IKg9qNfJ9q+je6ffoFQ41L8pRUk9u+Z1/M5FoGqBmJzsBhULEpyoDenbb59wTD+ssqsuddiPe0QCBLIQcHSVAI1i0Bk3imdTOd04kqpnyilNiilnrFetko2j9DBBJkR7WpDguHxCfBMkWCIhn/+Bf6yKjr/81IGnroXgMJ5HLlmMdeqBHEz3DoXFaZTMXJ1slQhu/t1gtVNiN+flfEyxRcqIFBZT2yetTjIVOncIyKfFpEGEam0XrZKNo8ILz6KaMerJMdGnBbF1UQ72wjWt87q5hBYUEXjl39FYrCXvb+9Bl9RGaFFK2yQMr8IVjUS379n1gmiua5GYGF0EM2WpdNBsDY31aXTMVocaKUzER8BvogRJm3VXdtkl1DzjfDi1ZBMEM1S+2Wvkmnk2mQULD6K+iuvBaUoOOL4nD/ZupFAVQMk4iT6987q+7msu5aKlSCaDWI97YarywGCdS3zLkE0ozkdpdRiuwWZDBF5K3AJhqyrlFInOSWLXYRbVgEwtmszBcve4LA07kQlEkT37KR4zZlzGqf0pPMBCM5BeXmJ1L46swkGsCwdf44tHX9FHYkDe1Hx2JzaSyfHhkn09eSkY+hEBOtaSPR2kxwbxhcuckSGXDOlpSMiX0p5/760dd+abnARuUFEIiLyUtrys0Rkm4hsF5GrphpDKfWYUupTwL2A64qMZoNgXQsSLmTs9a1Oi+JaYns7IB6bk6VjUXrS+XnRPycXjFclmGUEW6IvAiIEFlRnU6xpCVQ2gNnHZy7EeqwcHYfca1YEmxlBNx+Yzr12Ucr7f0lbd1YG49+Yvp3ZifRHwNnAKmCtiKwSkaNF5N60V+rj08XA7zLYZ94hPh/hRUcytmuL06K4lpjZojq9urRmbgSqjDyl2ebqxHsj+Esr52RtzIZsVSUYb2nglHutdv6FTU/nXpNJ3k/0+TCUUutEpDVt8QnAdqVUG4CI3AJcoJT6NvCuCYUQaQYOKKUGJhVU5BPAJwCam50xledCqOVIhjY+hFIqZ+VE8omoGS4dnGG4tGZq/GWVSCA060iweG93Tpq3pRO0qhLM1dIx24rkqmNoOgdbHMwfpTOdpaMmeT/R50xZCKTakh3msqm4DPjVVBsopX5uVktYU1OTu5yBbBFuXkmifz+JvrlV/PUq0a42fEVl+MuqnBbFUxgdRGefIJro68lpjo6Fv8JUOnMs4RPraUeCYfwLnLln+Eor8RWWaEsnhTeISD+GVVNovsf8XGCrZCkopa7OZDuz7895y5Yts1mi7BNuWQkYhShzHX6aD8TMQp/aCsw+garGWd+8433dFDUtz7JE03PQQpubey0W6SBQsxDxZRrIm11EZN6FTU95ppVSfqVUmVKqVCkVMN9bn2frxN0NpDpQm8xl85pw85EAOphgEqJdbYTqHQui9DSzrUqglMp53TULEcFfWZcFpfO6Y5FrFlrp2M9GYLmILBaREEawQla6kOZj7TULf1kV/oo6ojqY4DCSYyPE9+7WQQQ2EagyEi1VcmYtspKDvRCP5bTuWirZ6CAa72l3LIjAIljfQizSPuPzn6/YqnRE5GbgSWCFiHSIyGVKqThwJfAQsAW4TSmVlRow+VhlOpVw85GMva6VTjqx7l2gVMbVpTUzI1jVCPEYiQMzSxCNm/OPTszpgNHMLd47e6WTHBki0b/fsXBpi2BtCyo2NqdjySdsVTpKqbVKqQalVFAp1aSUut5cfr9S6gil1FKl1DVZ3F/eWjpgzOtEO15FJeJOi+Iqola4dIOOXLODwCz76liRY05Er8FBS2e2TdBiPVZLA4fda/Msgs2Z2TObyH9LZyUqNka0a4fToriKWJcZLt2g53TswCqgGpthrk7CobprFoHKetToMMnhSTMppmS8pYHT7rW6+ZWr4ymlk++WTsiMYItqF9shRDvb8JfX4i8qdVoUTxKonl3b6rhDddcs5pogOm7pOJSjYxGsXgg+v1Y6mtwTaloOPr+uTJBGtKtNBxHYiFFRIDQL91oEKSjCV1hik2RTM95BdJZzIfFIOxIqcDz3SwJBgjVNWunkI/nuXvMFw4Qal2ilk0ass00X6LQR8fmM+ZGZutf6Io5ZOcB41NysLZ1IO8HaRa7I/QrWNes5nXwk391rYMzr6Ai2gyQG+0j079OWjs0EqmeeIBrvdVjpWKVw9s3eveZ0EIFFsK6VaPdOp8XICZ5SOl4g1LKSeKSdxCwnR72GFVSRjerSmskJVM68g6hTddcsfOFCfCXls64bF4u0E6hxNlzaIljXTHKgl8RQ//Qb5zmeUjr57l6Dg+VworoyAWA0bgNd6NNurKoEM0lQdKruWiqzbeaWGOonOdhHsNbZyDWLYH0rMD8i2DyldLziXgNdDsci2vka+HyORxh5nUC1mSDavy+j7ZNjIySH+x2rRmARqJhdKZx4TwfgfI6OhSWHVfXay3hK6XiBQE0TvsISPa9jEutsI1izCF8w7LQoniY4wwRRqxq6E3XXUpltKZzxlgYO5+hYjOfq7NnprCA5QCsdlyEihJqP1DXYTKJdOnItFwQqrVydzGrvWi4txy2dygYSfZEZV/GIjVs67pjT8ReX4SutINatLZ28wgtzOmBFsG2ddXkPr6CU0jk6OcJKEI1laOmM111zuA1HoLIekskZ142LRdqRgmJ8pZU2STZzQnWtxOZBBJunlI4X5nTACCZIDh2YdQthr5Do7UaNDuvItRzgL6uCQDBz95pVd83BkGmAQOXscnWMlgbuyNGxCNY1a0tH4wwhHUwAHCz0qatL28/BBNFMLZ0I+Pz4HbYUxqsSzDBs2mhp4A7XmkWwvpVYTwcqHnNaFFvRSseFhFuMhm7RXS87LImzRM1w6ZAOl84JwarGjK3reF8E/4JqxO+3WaqpmU2CqFLKrEbgjsg1i2BtMyQTMy68mm9opeNC/MULCFQ3MrZrfls6sc7XkGB4vAqyxl4CVZkniCZ6I47P5wD4F1SDzz8j91py6ADJ4QHX5OhYjOfqeDyCzVNKxyuBBADh5lXavdbVRrBhsWP96+cbltLJJIAl7nDdNQvx+QhU1M4oQdQtLQ3SsXLRvD6v46l/s1cCCQBCLUcS3f0qKhZ1WhTHiHa26SCCHBKoakTFoxkliMZ7I/hdYOmAWcJnBnM6ltJxm6UTqGxAAiHPR7B5Sul4iXDzkZCIGxn58xCViBPr3qWDCHKI5cacbl5HJRIkDvQQKHc2R8dipgmi8R53Kh3x+QjULtKWjsYZwi2rAOZtm4NYpB0ScW3p5JBMqxIkBvZDMul43TWLmSqdWKQdX1EpvmL3eURC9a16TkfjDKHGpRAIzttyOAcj17TSyRUBS+nsndrSseZPnKwwnUqgsp7k8ADJkaGMtndjjo6Fkauzy9OJ4VrpuBQJBAktXD5/LR0rR6dBh0vnCv+CGvAHiE0zP2LVXXOTpQOZdxCN9XS4LojAIrzkGJIjg4xsedppUWxDKx0XE24+kug8tnR8xQvwl7mnTInXyTRB1C111yzGlU4GLraDOTruVDqlJ52Hr6SCvvt+6bQotuF6pSMizSJyp4jcICJXOS1PLgm3rCS+r4vEYJ/TouScWOdrhBqWuNIF4mUCVQ3TutfcUmHaYiZKJzmwHzU65LrEUAtfuIgFZ1zC4MYHx6PsvIatSsdUFBEReSlt+Vkisk1EtmegSI4Gfq+UuhR4o23CupD53Fsn2tWmI9ccIFjVOG34cby3G19RGb5wYY6kmpqZKJ1YxKwu7bISOKmUv/MjgND34K+cFsUW7LZ0bgTOSl0gIn7gR8DZwCpgrYisEpGjReTetFct8BRwmYj8BXjQZnldRWi8HM78crElx4aJ7+3UkWsOkEmCaNwl1QgsfIUl+ApLMlM6Lg2XTiVYvZCSN5/DgT/fTHJ02Glxso6tSkcptQ7Yn7b4BGC7UqpNKRUFbgEuUEq9qJR6V9orAnwMuFop9Xbg3Mn2JSKfEJFNIrKpp6fHrkPKKYHKBnwl5fMugi3WtRPQkWtOEKhqRMXGSPSn/20PkuiLOF5dOp1Mw6at5m1uDSSwqDjnMpJDB+j/6/85LUrWcWJOZyGQ6qzsR/AswAAAGIhJREFUMJdNxoPAZ0Xkp8DOyTZSSv0c+DrwbCgUyoKYziMihJuPnHcRbFa4tG7elnsySRCN97nL0oGZKJ12fCXl+IvLciDV7ClY8SbCS46h7/7rUcmk0+JkFdcHEiilXlJKvVcp9Sml1Bem2dYzZXAswi1mQzePXXhTYbU00O613DOeqzPFvI6hdNwRuWZhlMKZXunEezpcPZ9jISJUnHs50d3bGX5hndPiZBUnlM5uINW2bTKXzRkvFfy0CDWvRI0OETfb684HYl1t+Cvr8RUWOy3KvCM4TYJocmQQNTrsmsg1C39lHfHe7mkfzozEUHdGrqVTctJ5+Mtr6Lv/eqdFySpOKJ2NwHIRWSwiIeAi4O5sDOxVSweYV/M6UTNcWpN7rATRyXJ13JajYxGorIdEfMpipW7P0UnHFwxTfuaHGXr2z56qwWh3yPTNwJPAChHpEJHLlFJx4ErgIWALcJtSanOW9uc5Sye8aAUwv2qwRbvadBCBQ4jfT6CijthkSsdlOToWmXQQTfTvQ0VHCeSBe81iwZkfhkCQvgducFqUrGF39NpapVSDUiqolGpSSl1vLr9fKXWEUmqpUuqaLO7Pc5aOr7CEYG3zvLF0EgP7SQ706iACBzHCpid2ryXcbOkwda6OVb05X9xrYJQaKj3pAg48chuJoX6nxckKrg8kmAletHQAQi0r502uTrRrB6DDpZ3EaFs9taXjlrprFoFKQwnG90/ezM2tLQ2mo+Lcy1GjQ/T/5RanRckKnlI6XrR0wKhMEO1qIxkddVoU24npyDXHCVQZTdEmShCN93YjgRC+kgoHJJucQHkt+HxTutfGm7e5PEcnnYKlx1Bw5Jvoe+AGVCLhtDhzxlNKx6uEW1ZCMkm04xWnRbGdaFcb+Px55QLxGoGqRlR0lOTA4Qmiid4I/vIa19XEE38A/4Kaqd1rkXb8ZZV5GRVZcc7lxCKvM/TMn5wWZc54Sul41b0WNsvhzIcabNHONoK1zUjQGwm++Uig2kgQnSiYIN4XMawKFzJdgmisp931lQgmo+TEswlUN9LrgfBpTykdr7rXgvWLkVDBvJjXiXW9pudzHGY8EmwipdMbwe+yagQWhtKZfE4nFmnPO9eahfgDlL/zo4y89HjeR7J6Sul4FfEHCDV5v6GbSiaJdu3QkWsOM16VYIIItkSeWjoqmTSqEdTlp9IBWPCOS5BQQd5bO55SOl51r4ERTOB191q8dw9qbERbOg5jTMr7D7N0VDxGon+f6+quWQQq60kO9pIcGzlsXeJADyo2lreWDoC/tIKyU9/DwGO3T5kE63Y8pXS86l4DI5gg0RchfiB/L7bp0JFr7kD8fgKVdYcpnfiBvQD4XZajY3GwbfXhLjYrci2QZ+HS6ZSfcxkqOsqBh3/ntCizxlNKx8uEms3eOh5OErUKfermbc4TqGw4LJAg0Rsx1rksR8fiYILoREon/xJDJyLcfCRFR59C34M3ouIxp8WZFVrp5AnhllWAt8vhRLvakFDB+ES2xjkC1Y2HzenE+9xZjcDioNI5PADiYMfQqbqo5Afl515OfH8Xg0/f77Qos8JTSsfLczqB8hr8ZVWeLocT62wj2LAE8XnqssxLjKoEnYckiMZ73Vl3zWKqUjjxnnb8C6rxhYtyLVbWKT7uHQTrW+m975dOizIrPPXv9vKcDhzsreNVol1tej7HJQQqG4wE0cG+8WUJy9JZ4E6l4ysqQ8KFEyqdfGppMB3i81F+9qWMvvIMo9ufc1qcGeMppeN1Qs0rib6+1ROlMNJR8Rix7l06cs0lWAmiqS62eF8P/rJK1ybuiojZzG1i91o+NG/LlLLTP4AUFOdl+LRWOnlEuGUlKjpKLLLLaVGyTizyOiQTOojAJVi5OqnBBPHebvwuzdGxCFTUkUgLJFDJJLG9HXkfuZaKv6iUBad/gIEn7p4wWs/NaKWTR4SbzYZuHgwm0C2q3cXBBNGDSifR697EUIuJEkTjvXsgHvOMe82i/JxLIRGn74+/cVqUGeEppePlQAKA0KLlIOIapTP88tP0/O+3pm0RnAmxLlPpaEvHFYxXbT7EvRZxv6VTVW+0rU4NgIjkZ0uD6Qg1LKH4jX/HgT/eRDI25rQ4GeMppeP1QAJfuIhgw2JX1GBLxsbY88PP0HvHdfSv+/2cx4t2tuErqcBfWpkF6TRzRfwBAhUHE0SVUoal49JqBBaBygZUbOyQCtmxHitc2jtzOhbl515G4sBeBh6/y2lRMsZTSmc+4JZyOAcevJF4TweB6oXsvembc+5qqFtUu49A1cFcneTQAVQ86n73WsXhzdysjqH51KY6U4qOOZVQ0xH03ffLCfsfuRGtdPKMcMtKYt07SY4OOyZDYrCPfX/4PkXHnkbjl64n0b+Pfbd9b05jxjp1uLTbMKoSGEonblYjcGuFaYuJcnViPe34K+rwhQqcEss2RITycy5jbMdLjGzZ4LQ4GaGVTp4Ral4JSjHWvs0xGfbf8UOSQweo+eBXKVhyDAvO+BB9D9wwawssOTJEfH+XjlxzGUZVAqODaKLPLIHj0moEFuMBEClh014Ll06n7NT34Cspp+/+/EgW1Uonzwi3GBFsTtVgi/V00Hf/DZS97X2EW1cDUL32S/iKyohc/7VZmfjRPTsAHbnmNoJVDaixEZJDB8YtHbfWXbOw3H+plk7cQ4mhE+ErKGLB361lcMMD4/NXbkYrnTwjWNuMFBQ5FsG29+b/ABGqLvri+DJ/aSXVF1/FyOYnGHzi7hmPqSPX3Mm41bC3czwXxK0Vpi0kGMK/oHpcXpWIE9vX6bnItXTKz/oYAH0P3uisIBngeqUjIqtE5DYR+YmIvNdpeZxGfD7CTSscCSYYbXuRgXV/oPzcywlWH1o4ccHfXUx4ydH0/PobJEeGZjTueHXp+sVZk1UzdwJVZtvq/V0k+iJIqABfYYnDUk2PEXVnWDrx/XsgEc/bNtWZEqxpouSEsznw5985Ot+bCbYqHRG5QUQiIvJS2vKzRGSbiGwXkaumGeZs4IdKqSuAD9smbB4RalnJ2K6XcxqtopRi703/jq+0gsoLrzxsvfj91F52DfH9Xey7/fszGjva2UagqgFfQf4XY/QSqQmi8d4IgYo6RMRhqaYntRSO1UcnnzuGZkr5OZeTHO5nZKu7AwrstnRuBM5KXSAifuBHGMpkFbDWtGaOFpF70161wE3ARSLyX0CVzfLmBeHmI0kO9I5P7uaC4ef/yvCL66l67+fwF5dNuE3hijWUnf5+eu/5GdHO1zIeO9bVRrBhabZE1WSJQEWdkSC6t9Oou+byyDWLQNXBqgSxHlPpeNzSAShceQKLf7KR4mNPc1qUKbFV6Sil1gH70xafAGxXSrUppaLALcAFSqkXlVLvSntFzNc/AFcBeyfbl4h8QkQ2icimnp4e247JDeS6t45KJOi56ZsE61ooP3NqY7P6kq/iCxUQueFfM7LElFJEO1/T8zkuRPwBAuV1xPd3kujrdn2OjkWgsp5E/z5ULGpUIxA5zB3sRUSEYJX7e1E5MaezEGhP+dxhLpsQEWkVkZ8DvwH+a7LtlFI/B74OPBsKubMKbrYItxhdRHOldPrX/Z7orpepvviqaSsMB8prqPrAFxl+7lGGNj447djJgf0khw7oyDWX8v/bu/soqer7juPvz87sLg+LsOzytCCPQgjmeKhPx2iqVKuH6DmIiVIJatDUNlbziDZtOSbGQ2usnjZNY9sY6kM1YpREQzwmhFaMJ4gGA4ooCVLA8pQsLELkQXaX+faP+xsyLLvL7DJz5+n7OmcOd+69c+/3NzPMd3+/+7u/X7JhREbzWokknfQNonubaWveSnLw8KIdGbsSFX1HAjPbYmZ/YWZzzOwXJ9i3rIfBSUsMGExi8HBaY+hMkDp8iJZF/0jtaVOpO39GVq8ZNH0uNaMn0/zw10gdPtTtvj5FdXFLNoygdedmUgf2Ff24a2npmWfbW3bS1ry1IprWSkkhks52IPNbMCqsO2nlPuBnptrRkzn87tt5P8/e5xfSvmcnQ66/M+uLyEoko04Fu7ax59kHut231btLF7VkQxPt4d6PUmpeg6jnWtuurSTL+B6dUlSIpLMKmChpnKQa4Fqg5zd3dKJSajoQJZ3W7RuxI+15O8eR37ew55lv0//sS+l3+kd79Np+p3+UAR+byXvPPkDr77qe/6dtxyZIJP2v0SKVzLhGUEodCSC6kbm9ZQfVQ8t3NIJSlO8u04uAlcCHJG2T9BkzawduA5YC64GnzOytHJ2vcmo6Y6ZgbYdp3bk5b+do+cG/kPrgAI1z5vfq9Y3X3wmJBLseuavLfVp3bqJ62GiUrO5llC6fMi9Ml0pNp6quHlXX8sE7ayCV8j9oiky+e6/NNrMRZlZtZqPM7D/D+ufNbJKZTTCzv8/h+SqmplMzOupM0JqnJrbW325h79JHGXjxbGpPndSrY1Q3jKDh6i9xYNVSDqx+ofPz+ECfRS19gygU/7hraZJI1g/j0G9WAVA9zJvXiknRdyToiUqq6dSMmghVibyNTLD7iXtQIknDn91+Usepv+JmqpvG0/zwV4+baMpSKdp+u5maJr9Hp1gdbV6rqiJxSuncJpccPJwjYSgcr+kUl7JKOpVU06mqrqWmaUJeOhMc2rCa/S//mPoZnz3pv25VXcPQmxbQtnMTe5978Jht7S07sNYPqPaaTtFK1g8DicQpjSiRKHQ4WUt3JqCq6pjrUq7wyirpVFJNB6IRp3Nd0zEzdj++gMTARgbPuCUnx+w/dRp1536clsXfPDo/C3jPtVKgZDWJ+mFFP7p0R4mQdJINTX69sMiUVdKppJoORHPrtDdv5cjB93N2zAO/Wsaht1+hYda8nA7uOGTuXWDG7kfvPrquLX2Pjtd0ilrt6MnUjOrddb1CSdd0vGmt+JRV0qk06ZEJcnWTqB1pZ/djC6huGs/ASz6Vk2OmVQ89lcFX3cb7Ly/h4LoVQFTTUW3fPzSFuKLUdPtCht1yf6HD6JGjSafMpzQoRWWVdCqveS2MwZajpLPvhSdp3b6Rxjnz89IkUT/jFqqHjqZ54Xysve1oz7VSGLm4klX16UdVbd9Ch9Ej6VEJPOkUn7JKOpXWvJZsHElVvwE56UyQOnSAlu/fT5/J51B37vQTv6AXqmr7MuSmu2ndtoG9P3k4Gl3ar+e4PKgZPgYSyWh6d1dUkoUOwPWeJGpGT85J89p7z32HI3ubabpjYV5rHv3PupT+Z15Cy1P3kzp8iAEXzMzbuVzlSg4ezrgHVh5zn5ErDmVV06lEtaM/zOF315/UhG7te3ex50f/Rt15V9D3Q2fnMLrjSWLIjV/H2lohdcR7rrm8qW4c6U23Raiskk6lXdOBqNt06uDvac/oitxTLU//E9bWSuOnTjSJa27UjBhP/YzPRssjJ8ZyTudccSirpFNp13Qg6s4KvZ9bp3X7O+xb9jgDL70u1pEBGq75MiP/7nFqJ5wR2zmdc4Xn13RKXHoMtt/9+zx29RsABlgKUikMg1Qqem5gll42sBSWMqz1EKrpQ8M1X441blXX0P/Mi2M9p3Ou8DzplLhE/4E0zJrH4a0bovbrqiog+leqAil6hPWqqoKM9ZKoO2c6yYGNhS6Kc64CeNIpAw2z5hU6BOecy0pZXdNxzjlX3Moq6VRi7zXnnCslZZV0KrH3mnPOlZKySjrOOeeKmycd55xzsfGk45xzLjaedJxzzsXGk45zzrnY6GRGJy5WknYB7/by5Y3A7hyGUwq8zJXBy1z+Tra8Y8xsSK6C6UxZJp2TIek1M8vv+P5FxstcGbzM5a8UyuvNa84552LjScc551xsPOkc78FCB1AAXubK4GUuf0VfXr+m45xzLjZe03HOORcbTzrOOediU7FJR9J0Sb+RtFHS33Syfa6kXZJeD48/L0ScuXSiMod9Zkl6W9Jbkp6IO8Zcy+Jz/ueMz3iDpL2FiDNXsijvaEnLJa2RtFbS5YWIM5eyKPMYSf8TyvuipFGFiDOXJD0kqVnSui62S9K3wnuyVtKZccfYJTOruAeQAP4XGA/UAG8AUzrsMxf4dqFjjbnME4E1QH14PrTQcee7zB32/xzwUKHjzvNn/CBwS1ieAmwpdNwxlPlp4NNh+WLgsULHnYNyXwicCazrYvvlwE8AAecBrxY65vSjUms65wIbzWyTmbUCTwJXFjimfMumzDcDD5jZewBm1hxzjLnW0895NrAolsjyI5vyGnBKWB4I7IgxvnzIpsxTgBfC8vJOtpccM3sJ2NPNLlcC/2WRV4BBkkbEE133KjXpjAS2ZjzfFtZ19MlQNV0s6dR4QsubbMo8CZgkaYWkVyRNjy26/Mj2c0bSGGAcf/hxKkXZlPcu4DpJ24DniWp3pSybMr8BfCIsXwUMkNQQQ2yFlPV3P26VmnSy8WNgrJmdASwDHi1wPHFIEjWxTSP6q/+7kgYVNKL4XAssNrMjhQ4kz2YDj5jZKKImmMcklfvvwO3ARZLWABcB24Fy/5yLVrl/2bqyHcisuYwK644ysxYzOxyeLgTOiim2fDlhmYn+GlpiZm1mthnYQJSESlU2ZU67ltJuWoPsyvsZ4CkAM1sJ9CEaJLJUZfN/eYeZfcLM/giYH9aVdIeRLPTkux+rSk06q4CJksZJqiH6wVmSuUOH9s8ZwPoY48uHE5YZeJaoloOkRqLmtk1xBplj2ZQZSZOBemBlzPHlWjbl/T/gEgBJHyZKOrtijTK3svm/3JhRm/tb4KGYYyyEJcANoRfbecA+M9tZ6KAgak6pOGbWLuk2YClR75eHzOwtSXcDr5nZEuDzkmYA7UQX7OYWLOAcyLLMS4HLJL1N1Pxwh5m1FC7qk5NlmSH6oXrSQrefUpVleecRNZt+iahTwdxSLneWZZ4G3CPJgJeAWwsWcI5IWkRUrsZwfe5rQDWAmf0H0fW6y4GNwEHgxsJEejwfBsc551xsKrV5zTnnXAF40nHOORcbTzrOOedi40nHOedcbDzpOOeci40nHVcSJO3PYp8vSuqXw3POlDQlh8d7+SReuz/82yRpcTf7DZL0V709j3P55knHlZMvAj1KOpIS3WyeSTRYZE6Y2fk5OMYOM7u6m10GAZ50XNHypONKiqRpYU6UxZJ+Lel74a7rzwNNwHJJy8O+l0laKWm1pKcl1YX1WyTdK2k1cI2kmyWtkvSGpB9I6ifpfKKRKO4Lc+1MkDQ1DIS6VtIzkurD8V5UNC/Pa5LWSzpH0g8lvSNpQUbs+zOWvyLpzXDOb3RSznEh9jc7HGNseg4VSadL+mWIb62kicA3gAlh3X2S6hTNJbM6HOvKjOOsl/RdRXMn/UxS37DtNEn/HWJbLWlCWH9HeJ/WSvp6Tj9YVzkKPbeCP/yRzQPYH/6dBuwjGkuqimjomo+FbVuAxrDcSHT3ef/w/CvAVzP2++uMYzdkLC8APheWHwGuzti2FrgoLN8NfDMsvwjcG5a/QDRdwAiglmg8u4YOZfg48DLQLzwf3El5lwA3hOVbM147ljCHCvCvwJywXAP0zdwe1ieBUzLek41Ec6yMJRptY2rY9hRwXVh+FbgqLPchqj1eRjQXj8L7/hxwYaG/F/4ovUdFDoPjSt4vzWwbgKTXiX5Af9Fhn/OImsZWSILoRzlzbLXvZyx/JNQmBgF1REOqHEPSQGCQmf08rHqUaHKwtPSQOm8Cb1kY50rSJqKBFzOHE/pT4GEzOwhgZp3Ni3IB8Mmw/Bhwbyf7rATmK5oJ84dm9k4o6zGhA/8g6UIgRTS8/bCwbbOZvR6WfwWMlTQAGGlmz4TYPgjluIwo8awJ+9cRDQb7UidxOdclTzquFB3OWD5C599jAcvMbHYXxziQsfwIMNPM3pA0lzDoaS9jSnWIL9VFfNnodowqM3tC0qvAFcDzkv6S4wdonQMMAc4yszZJW4hqL5kxQ/Q+9u3mdALuMbPv9CB+547j13RcOXkfGBCWXwEukHQagKT+kiZ18boBwE5J1UQ/0scdz8z2Ae9J+uOw7Xrg5/TOMuDGdE87SYM72WcF0UCkdIjpKEnjgU1m9i3gR8AZHPseQDQ7aHNIOH8CjOkuMDN7H9gmaWY4R22IcylwU8Z1sZGShmZVWucyeNJx5eRB4KeSlpvZLqKRwRdJWkvUFDW5i9fdSXQdYwXw64z1TwJ3SFoTLqZ/mqhjwVpgKtF1nR4zs58SNce9FpoHb+9kty8At0p6k65nfJwFrAvH+AjR9MQtRE2K6yTdB3wPODsc54YO5evK9USjrK8luvY03Mx+BjwBrAzHWsyxyc25rPgo084552LjNR3nnHOx8aTjnHMuNp50nHPOxcaTjnPOudh40nHOORcbTzrOOedi40nHOedcbP4fmPk8x+wD4o4AAAAASUVORK5CYII=\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -210,7 +210,7 @@
},
{
"data": {
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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -222,7 +222,7 @@
},
{
"data": {
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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -251,17 +251,10 @@
" pylab.xlabel('Interatomic distance')\n",
" pylab.ylabel('Energy')\n",
" pylab.yscale('log')\n",
- " pylab.title('Energy difference from ExactEigensolver with {} mapping'.format(mappings[k].value))\n",
+ " pylab.title('Energy difference from NumPyMinimumEigensolver with {} mapping'.format(mappings[k].value))\n",
" pylab.legend(loc='upper right')\n",
" pylab.show()"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
diff --git a/chemistry/h2_particle_hole.ipynb b/chemistry/h2_particle_hole.ipynb
index adf21b3..1e71a07 100644
--- a/chemistry/h2_particle_hole.ipynb
+++ b/chemistry/h2_particle_hole.ipynb
@@ -6,7 +6,7 @@
"source": [
"## _*H2 energy plot comparing full to particle hole transformations*_\n",
"\n",
- "This notebook demonstrates using Qiskit Chemistry to plot graphs of the ground state energy of the Hydrogen (H2) molecule over a range of inter-atomic distances using VQE and UCCSD with full and particle hole transformations. It is compared to the same energies as computed by the ExactEigensolver\n",
+ "This notebook demonstrates using Qiskit Chemistry to plot graphs of the ground state energy of the Hydrogen (H2) molecule over a range of inter-atomic distances using VQE and UCCSD with full and particle hole transformations. It is compared to the same energies as computed by the NumPyMinimumEigensolver\n",
"\n",
"This notebook has been written to use the PYQUANTE chemistry driver. See the PYQUANTE chemistry driver readme if you need to install the external PyQuante2 library that this driver requires."
]
@@ -22,40 +22,38 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Couldn't find cython int routine\n",
- "Couldn't find cython int routine\n",
"Processing step 20 --- complete\n",
"Distances: [0.5 0.525 0.55 0.575 0.6 0.625 0.65 0.675 0.7 0.725 0.75 0.775\n",
" 0.8 0.825 0.85 0.875 0.9 0.925 0.95 0.975 1. ]\n",
- "Energies: [[[-1.05515974 -1.07591359 -1.09262986 -1.105918 -1.11628598\n",
- " -1.12416087 -1.12990474 -1.1338262 -1.13618942 -1.13722135\n",
- " -1.13711705 -1.13604435 -1.13414767 -1.1315512 -1.12836188\n",
- " -1.12467175 -1.12056029 -1.11609624 -1.11133942 -1.10634212\n",
+ "Energies: [[[-1.05515973 -1.0759136 -1.09262986 -1.105918 -1.11628598\n",
+ " -1.12416089 -1.12990475 -1.13382618 -1.13618942 -1.13722134\n",
+ " -1.13711706 -1.13604434 -1.13414766 -1.13155119 -1.12836187\n",
+ " -1.12467174 -1.12056027 -1.11609624 -1.11133942 -1.10634211\n",
" -1.10115032]\n",
- " [-1.05515975 -1.07591362 -1.09262988 -1.10591802 -1.11628599\n",
- " -1.1241609 -1.12990477 -1.13382621 -1.13618945 -1.13722136\n",
- " -1.13711707 -1.13604437 -1.13414767 -1.13155121 -1.12836189\n",
- " -1.12467176 -1.12056029 -1.11609625 -1.11133943 -1.10634212\n",
+ " [-1.05515974 -1.07591361 -1.09262987 -1.10591802 -1.11628599\n",
+ " -1.12416089 -1.12990476 -1.1338262 -1.13618944 -1.13722136\n",
+ " -1.13711707 -1.13604436 -1.13414767 -1.13155121 -1.12836188\n",
+ " -1.12467175 -1.12056028 -1.11609624 -1.11133943 -1.10634212\n",
" -1.10115034]]\n",
"\n",
- " [[-1.05515974 -1.07591361 -1.09262987 -1.105918 -1.11628598\n",
- " -1.12416089 -1.12990474 -1.13382619 -1.13618943 -1.13722135\n",
- " -1.13711704 -1.13604436 -1.13414767 -1.1315512 -1.12836188\n",
- " -1.12467175 -1.12056028 -1.11609624 -1.11133942 -1.1063421\n",
- " -1.10115032]\n",
- " [-1.05515975 -1.07591362 -1.09262988 -1.10591802 -1.11628599\n",
- " -1.1241609 -1.12990477 -1.13382621 -1.13618945 -1.13722136\n",
- " -1.13711707 -1.13604437 -1.13414767 -1.13155121 -1.12836189\n",
- " -1.12467176 -1.12056029 -1.11609625 -1.11133943 -1.10634212\n",
+ " [[-1.05515972 -1.0759136 -1.09262986 -1.105918 -1.11628597\n",
+ " -1.12416089 -1.12990473 -1.13382619 -1.13618943 -1.13722135\n",
+ " -1.13711707 -1.13604434 -1.13414766 -1.13155119 -1.12836186\n",
+ " -1.12467174 -1.12056028 -1.11609624 -1.11133942 -1.10634211\n",
+ " -1.10115033]\n",
+ " [-1.05515974 -1.07591361 -1.09262987 -1.10591802 -1.11628599\n",
+ " -1.12416089 -1.12990476 -1.1338262 -1.13618944 -1.13722136\n",
+ " -1.13711707 -1.13604436 -1.13414767 -1.13155121 -1.12836188\n",
+ " -1.12467175 -1.12056028 -1.11609624 -1.11133943 -1.10634212\n",
" -1.10115034]]]\n",
- "Hartree-Fock energies: [-1.04299623 -1.0630621 -1.07905071 -1.09157046 -1.10112823 -1.10814997\n",
- " -1.11299653 -1.11597526 -1.11734903 -1.11734326 -1.11615145 -1.11393967\n",
- " -1.11085041 -1.10700581 -1.10251057 -1.09745433 -1.09191405 -1.08595589\n",
- " -1.07963695 -1.07300677 -1.06610866]\n",
- "VQE num evaluations: [[49. 49. 56. 50. 43. 52. 50. 47. 61. 46. 43. 57. 49. 49. 48. 53. 53. 52.\n",
+ "Hartree-Fock energies: [-1.04299622 -1.0630621 -1.0790507 -1.09157046 -1.10112822 -1.10814997\n",
+ " -1.11299652 -1.11597525 -1.11734902 -1.11734325 -1.11615145 -1.11393966\n",
+ " -1.1108504 -1.10700581 -1.10251056 -1.09745432 -1.09191405 -1.08595588\n",
+ " -1.07963694 -1.07300677 -1.06610866]\n",
+ "VQE num evaluations: [[49. 53. 50. 50. 41. 47. 49. 47. 51. 46. 42. 57. 45. 49. 49. 50. 50. 46.\n",
" 54. 56. 55.]\n",
- " [49. 53. 50. 50. 43. 51. 46. 47. 55. 46. 52. 56. 45. 49. 44. 50. 47. 46.\n",
- " 51. 58. 55.]]\n"
+ " [50. 52. 56. 50. 43. 50. 47. 48. 50. 46. 42. 57. 49. 49. 48. 50. 47. 49.\n",
+ " 54. 56. 60.]]\n"
]
}
],
@@ -64,7 +62,7 @@
"import pylab\n",
"from qiskit import BasicAer\n",
"from qiskit.aqua import aqua_globals, QuantumInstance\n",
- "from qiskit.aqua.algorithms import ExactEigensolver, VQE\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver, VQE\n",
"from qiskit.aqua.components.optimizers import COBYLA\n",
"from qiskit.chemistry.drivers import PyQuanteDriver, BasisType\n",
"from qiskit.chemistry.core import Hamiltonian, TransformationType, QubitMappingType\n",
@@ -72,7 +70,7 @@
"from qiskit.chemistry.components.variational_forms import UCCSD\n",
"\n",
"molecule = 'H .0 .0 -{0}; H .0 .0 {0}'\n",
- "algorithms = ['VQE', 'ExactEigensolver']\n",
+ "algorithms = ['VQE', 'NumPyMinimumEigensolver']\n",
"transformations = [TransformationType.FULL, TransformationType.PARTICLE_HOLE]\n",
"\n",
"start = 0.5 # Start distance\n",
@@ -97,17 +95,15 @@
" qubit_mapping=QubitMappingType.JORDAN_WIGNER,\n",
" two_qubit_reduction=False)\n",
" qubit_op, aux_ops = operator.run(qmolecule)\n",
- " if algorithms[j] == 'ExactEigensolver':\n",
- " result = ExactEigensolver(qubit_op).run()\n",
+ " if algorithms[j] == 'NumPyMinimumEigensolver':\n",
+ " result = NumPyMinimumEigensolver(qubit_op).run()\n",
" else:\n",
" optimizer = COBYLA(maxiter=10000)\n",
- " initial_state = HartreeFock(qubit_op.num_qubits,\n",
- " operator.molecule_info['num_orbitals'],\n",
+ " initial_state = HartreeFock(operator.molecule_info['num_orbitals'],\n",
" operator.molecule_info['num_particles'],\n",
" qubit_mapping=operator._qubit_mapping,\n",
" two_qubit_reduction=operator._two_qubit_reduction)\n",
- " var_form = UCCSD(qubit_op.num_qubits, depth=1,\n",
- " num_orbitals=operator.molecule_info['num_orbitals'],\n",
+ " var_form = UCCSD(num_orbitals=operator.molecule_info['num_orbitals'],\n",
" num_particles=operator.molecule_info['num_particles'],\n",
" initial_state=initial_state,\n",
" qubit_mapping=operator._qubit_mapping,\n",
@@ -116,12 +112,11 @@
" result = algo.run(QuantumInstance(BasicAer.get_backend('statevector_simulator'),\n",
" seed_simulator=aqua_globals.random_seed,\n",
" seed_transpiler=aqua_globals.random_seed))\n",
- " \n",
- " lines, result = operator.process_algorithm_result(result)\n",
- " energies[k][j][i] = result['energy']\n",
- " hf_energies[i] = result['hf_energy']\n",
- " if algorithms[j] == 'VQE':\n",
- " eval_counts[k][i] = result['algorithm_retvals']['eval_count']\n",
+ " eval_counts[k][i] = result.optimizer_evals\n",
+ " result = operator.process_algorithm_result(result)\n",
+ " energies[k][j][i] = result.energy\n",
+ " hf_energies[i] = result.hartree_fock_energy\n",
+ "\n",
" distances[i] = d\n",
"print(' --- complete')\n",
"\n",
@@ -138,7 +133,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
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\n",
"text/plain": [
""
]
@@ -167,7 +162,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -184,7 +179,7 @@
" pylab.plot(distances, np.subtract(energies[k][0], energies[k][1]), label='VQE + '+transformations[k].value)\n",
"pylab.xlabel('Interatomic distance')\n",
"pylab.ylabel('Energy')\n",
- "pylab.title('Energy difference from ExactEigensolver')\n",
+ "pylab.title('Energy difference from NumPyMinimumEigensolver')\n",
"pylab.legend(loc='upper left');"
]
},
@@ -195,7 +190,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -214,15 +209,6 @@
"pylab.title('VQE number of evaluations')\n",
"pylab.legend(loc='upper left');"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "scrolled": true
- },
- "outputs": [],
- "source": []
}
],
"metadata": {
diff --git a/chemistry/h2_qpe.ipynb b/chemistry/h2_qpe.ipynb
index 7d249c0..c984b2f 100644
--- a/chemistry/h2_qpe.ipynb
+++ b/chemistry/h2_qpe.ipynb
@@ -22,29 +22,18 @@
"cell_type": "code",
"execution_count": 1,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Couldn't find cython int routine\n",
- "Couldn't find cython int routine\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"from collections import OrderedDict\n",
"import time\n",
"\n",
"from qiskit import BasicAer\n",
- "from qiskit.transpiler import PassManager\n",
"from qiskit.aqua import AquaError\n",
"from qiskit.aqua import QuantumInstance\n",
"from qiskit.aqua.operators import Z2Symmetries\n",
- "from qiskit.aqua.operators.op_converter import to_weighted_pauli_operator\n",
- "from qiskit.aqua.algorithms import ExactEigensolver\n",
- "from qiskit.aqua.algorithms import QPE\n",
- "from qiskit.aqua.components.iqfts import Standard\n",
+ "from qiskit.aqua.operators import op_converter\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver, QPE\n",
+ "from qiskit.circuit.library import QFT\n",
"from qiskit.chemistry import FermionicOperator\n",
"from qiskit.chemistry.components.initial_states import HartreeFock\n",
"from qiskit.chemistry.drivers import PySCFDriver, UnitsType\n",
@@ -56,7 +45,7 @@
"\n",
"qubit_mapping = 'parity'\n",
"fer_op = FermionicOperator(h1=molecule.one_body_integrals, h2=molecule.two_body_integrals)\n",
- "qubit_op = Z2Symmetries.two_qubit_reduction(to_weighted_pauli_operator(fer_op.mapping(map_type=qubit_mapping, threshold=1e-10)), 2)"
+ "qubit_op = Z2Symmetries.two_qubit_reduction(op_converter.to_weighted_pauli_operator(fer_op.mapping(map_type=qubit_mapping, threshold=1e-10)), 2)"
]
},
{
@@ -75,15 +64,15 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "The exact ground state energy is: -1.857275030202377\n"
+ "The exact ground state energy is: -1.8572750302023797\n"
]
}
],
"source": [
- "exact_eigensolver = ExactEigensolver(qubit_op, k=1)\n",
+ "exact_eigensolver = NumPyMinimumEigensolver(qubit_op)\n",
"result_ee = exact_eigensolver.run()\n",
- "reference_energy = result_ee['energy']\n",
- "print('The exact ground state energy is: {}'.format(result_ee['energy']))"
+ "reference_energy = result_ee.eigenvalue.real\n",
+ "print('The exact ground state energy is: {}'.format(result_ee.eigenvalue.real))"
]
},
{
@@ -102,7 +91,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "The ground state energy as computed by QPE is: -1.8571368753258857\n"
+ "The ground state energy as computed by QPE is: -1.8571368753258861\n"
]
}
],
@@ -114,9 +103,9 @@
"num_time_slices = 1\n",
"n_ancillae = 9\n",
"\n",
- "state_in = HartreeFock(qubit_op.num_qubits, num_orbitals,\n",
- " num_particles, qubit_mapping, two_qubit_reduction)\n",
- "iqft = Standard(n_ancillae)\n",
+ "state_in = HartreeFock(num_orbitals, num_particles, qubit_mapping,\n",
+ " two_qubit_reduction)\n",
+ "iqft = QFT(n_ancillae).inverse()\n",
"\n",
"qpe = QPE(qubit_op, state_in, iqft, num_time_slices, n_ancillae,\n",
" expansion_mode='suzuki',\n",
@@ -124,7 +113,7 @@
"backend = BasicAer.get_backend('qasm_simulator')\n",
"quantum_instance = QuantumInstance(backend, shots=100)\n",
"result_qpe = qpe.run(quantum_instance)\n",
- "print('The ground state energy as computed by QPE is: {}'.format(result_qpe['energy']))"
+ "print('The ground state energy as computed by QPE is: {}'.format(result_qpe.eigenvalue.real))"
]
},
{
diff --git a/chemistry/h2_swaprz.ipynb b/chemistry/h2_swaprz.ipynb
index 1343742..3930129 100644
--- a/chemistry/h2_swaprz.ipynb
+++ b/chemistry/h2_swaprz.ipynb
@@ -4,9 +4,9 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "## _*H2 energy plot computed using SWAPRZ variational form*_\n",
+ "## _*H2 energy plot computed using ExcitationPreserving*_\n",
"\n",
- "This notebook demonstrates using Qiskit Chemistry to plot graphs of the ground state energy of the Hydrogen (H2) molecule over a range of inter-atomic distances using VQE and SWAPRZ. It is compared to the same energies as computed by the ExactEigensolver. `SWAPRZ` is a particle preserving variational form and should be used in conjunction with operator `jordan_wigner mapping` and `HarteeFock` initial state.\n",
+ "This notebook demonstrates using Qiskit Chemistry to plot graphs of the ground state energy of the Hydrogen (H2) molecule over a range of inter-atomic distances using VQE and ExcitationPreserving. It is compared to the same energies as computed by the NumPyMinimumEigensolver. `ExcitationPreserving` is a particle preserving variational form and should be used in conjunction with operator `jordan_wigner mapping` and `HarteeFock` initial state.\n",
"\n",
"This notebook has been written to use the PYQUANTE chemistry driver. See the PYQUANTE chemistry driver readme if you need to install the external PyQuante2 library that this driver requires."
]
@@ -22,25 +22,23 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Couldn't find cython int routine\n",
- "Couldn't find cython int routine\n",
"Processing step 20 --- complete\n",
"Distances: [0.5 0.525 0.55 0.575 0.6 0.625 0.65 0.675 0.7 0.725 0.75 0.775\n",
" 0.8 0.825 0.85 0.875 0.9 0.925 0.95 0.975 1. ]\n",
- "Energies: [[-1.05515974 -1.07591361 -1.09262983 -1.10591802 -1.11628598 -1.12416089\n",
- " -1.12990476 -1.1338262 -1.13618944 -1.13722135 -1.13711706 -1.13604436\n",
- " -1.13414767 -1.13155119 -1.12836188 -1.12467175 -1.12056028 -1.11609624\n",
- " -1.11133942 -1.10634211 -1.10115025]\n",
- " [-1.05515975 -1.07591362 -1.09262988 -1.10591802 -1.11628599 -1.1241609\n",
- " -1.12990477 -1.13382621 -1.13618945 -1.13722136 -1.13711707 -1.13604437\n",
- " -1.13414767 -1.13155121 -1.12836189 -1.12467176 -1.12056029 -1.11609625\n",
+ "Energies: [[-1.05515972 -1.0759136 -1.09262986 -1.10591801 -1.11628598 -1.12416089\n",
+ " -1.12990474 -1.13382619 -1.13618942 -1.13722136 -1.13711705 -1.13604435\n",
+ " -1.13414766 -1.13155119 -1.12836188 -1.12467175 -1.12056027 -1.11609621\n",
+ " -1.11133942 -1.10634211 -1.10115033]\n",
+ " [-1.05515974 -1.07591361 -1.09262987 -1.10591802 -1.11628599 -1.12416089\n",
+ " -1.12990476 -1.1338262 -1.13618944 -1.13722136 -1.13711707 -1.13604436\n",
+ " -1.13414767 -1.13155121 -1.12836188 -1.12467175 -1.12056028 -1.11609624\n",
" -1.11133943 -1.10634212 -1.10115034]]\n",
- "Hartree-Fock energies: [-1.04299623 -1.0630621 -1.07905071 -1.09157046 -1.10112823 -1.10814997\n",
- " -1.11299653 -1.11597526 -1.11734903 -1.11734326 -1.11615145 -1.11393967\n",
- " -1.11085041 -1.10700581 -1.10251057 -1.09745433 -1.09191405 -1.08595589\n",
- " -1.07963695 -1.07300677 -1.06610866]\n",
- "VQE num evaluations: [ 728. 772. 1684. 802. 688. 699. 652. 640. 778. 899. 996. 613.\n",
- " 724. 1188. 633. 1340. 870. 656. 651. 743. 2932.]\n"
+ "Hartree-Fock energies: [-1.04299622 -1.0630621 -1.0790507 -1.09157046 -1.10112822 -1.10814997\n",
+ " -1.11299652 -1.11597525 -1.11734902 -1.11734325 -1.11615145 -1.11393966\n",
+ " -1.1108504 -1.10700581 -1.10251056 -1.09745432 -1.09191405 -1.08595588\n",
+ " -1.07963694 -1.07300677 -1.06610866]\n",
+ "VQE num evaluations: [ 835. 616. 937. 680. 665. 632. 956. 1045. 709. 847. 664. 608.\n",
+ " 633. 687. 733. 902. 1142. 1582. 993. 566. 783.]\n"
]
}
],
@@ -50,15 +48,15 @@
"import copy\n",
"from qiskit import BasicAer\n",
"from qiskit.aqua import aqua_globals, QuantumInstance\n",
- "from qiskit.aqua.algorithms import ExactEigensolver, VQE\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver, VQE\n",
"from qiskit.aqua.components.optimizers import COBYLA\n",
- "from qiskit.aqua.components.variational_forms import SwapRZ\n",
+ "from qiskit.circuit.library import ExcitationPreserving\n",
"from qiskit.chemistry.drivers import PyQuanteDriver, BasisType\n",
"from qiskit.chemistry.core import Hamiltonian, QubitMappingType\n",
"from qiskit.chemistry.components.initial_states import HartreeFock\n",
"\n",
"molecule = 'H .0 .0 -{0}; H .0 .0 {0}'\n",
- "algorithms = ['VQE', 'ExactEigensolver']\n",
+ "algorithms = ['VQE', 'NumPyMinimumEigensolver']\n",
"\n",
"start = 0.5 # Start distance\n",
"by = 0.5 # How much to increase distance by\n",
@@ -80,26 +78,25 @@
" operator = Hamiltonian(qubit_mapping=QubitMappingType.JORDAN_WIGNER,\n",
" two_qubit_reduction=False)\n",
" qubit_op, aux_ops = operator.run(qmolecule)\n",
- " if algorithms[j] == 'ExactEigensolver':\n",
- " result = ExactEigensolver(qubit_op).run()\n",
+ " if algorithms[j] == 'NumPyMinimumEigensolver':\n",
+ " result = NumPyMinimumEigensolver(qubit_op).run()\n",
" else:\n",
" optimizer = COBYLA(maxiter=10000)\n",
- " initial_state = HartreeFock(qubit_op.num_qubits,\n",
- " operator.molecule_info['num_orbitals'],\n",
+ " initial_state = HartreeFock(operator.molecule_info['num_orbitals'],\n",
" operator.molecule_info['num_particles'],\n",
" qubit_mapping=operator._qubit_mapping,\n",
" two_qubit_reduction=operator._two_qubit_reduction)\n",
- " var_form = SwapRZ(qubit_op.num_qubits, initial_state=initial_state)\n",
+ " var_form = ExcitationPreserving(qubit_op.num_qubits, initial_state=initial_state)\n",
" algo = VQE(qubit_op, var_form, optimizer)\n",
" result = algo.run(QuantumInstance(BasicAer.get_backend('statevector_simulator'),\n",
" seed_simulator=aqua_globals.random_seed,\n",
" seed_transpiler=aqua_globals.random_seed))\n",
+ " eval_counts[i] = result.optimizer_evals\n",
+ " \n",
+ " result = operator.process_algorithm_result(result)\n",
+ " energies[j][i] = result.energy\n",
+ " hf_energies[i] = result.hartree_fock_energy\n",
" \n",
- " lines, result = operator.process_algorithm_result(result)\n",
- " energies[j][i] = result['energy']\n",
- " hf_energies[i] = result['hf_energy']\n",
- " if algorithms[j] == 'VQE':\n",
- " eval_counts[i] = result['algorithm_retvals']['eval_count']\n",
" distances[i] = d\n",
"print(' --- complete')\n",
"\n",
@@ -116,7 +113,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -144,7 +141,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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rFqnudhgy7uKamXzJpow+NUOPZ/Te0Olc0/BAkQdm4db8zTLv2qpYqq/CY42bqVUw8WX17Ude3f0wNXMODZ7tNy1Lc1Uez+jjV+XtS8K+Sou9sdO5ls4DRS2q68tXpzRiVmfsq9anqUap5Yo8tRF09fpK6ntP0Gb136XFtC8pYvtOJbQrLWLLWCa/2VV6yhV6jeqZkiKK/KrcOZdBiwgUkoYBPwS2Au4ws2dzcZw/PvEuj81a3KD6cgnal9TMoOP9yTdl2rVckZfUzMC9isU511zkPFBIuhM4DlhiZrvFlh8N/A0oAm43s2tq24eZPQo8Kmlr4C9ATgJF3+925KhdvxvLtNNk6iXFm12Ve1dE51why3mvJ0kHAyuBu6sDhaQi4APgSKAcmA4MJwSNq1N2cbaZLYne91fgXjN7M9MxvdeTc87VX956PZnZFEm9UhbvC8w3swVR4iYAQ83sakLpowaFS/VrgKdrCxKSRgGjAMrKyhJLv3POtXb5aqPoBiyKzZcD+2XY/iLgCKCTpD5mdnPqBmZ2q6TPgMGlpaV7J5pa55xrxVpE30Uzu97M9jazn6YLErHt/JnZzjmXsHwFisVAj9h892hZo0gaLOnW5cuXN3ZXzjnnIvkKFNOBnST1llQKnApMzFNanHPOZZDzQCFpPDAN6CupXNJIM6sELgQmAXOBB8xsTmOP5VVPzjmXvKbo9TS8luVPAU8leSwfPdY555LXIhqzs+UlCuecS15BBQpvzHbOueQVVKDwEoVzziWvoAKFc8655BVUoPCqJ+ecS15BBQqvenLOueQVVKBwzjmXPA8UzjnnMiqoQOFtFM45l7yCChTeRuGcc8krqEDhnHMueR4onHPOZVRQgcLbKJxzLnkFFSi8jcI555JXUIHCOedc8jxQOOecy8gDhXPOuYyafaCQtIukmyU9KOn8fKfHOedam5wGCkl3Sloi6Z2U5UdLel/SfEmXZtqHmc01s58CJwMH5TK9zjnnNpfrEsVY4Oj4AklFwI3AMUA/YLikfpJ2l/REyus70XuGAE+S8DO2nXPO1a04lzs3symSeqUs3heYb2YLACRNAIaa2dXAcbXsZyIwUdKTwH25S7FzzrlUOQ0UtegGLIrNlwP71baxpEOBE4AtyFCikDQKGAVQVlaWRDqdc86Rn0BRL2Y2GZicxXa3SvoMGFxaWrp3rtPlnHOtRT56PS0GesTmu0fLnHPONUP5CBTTgZ0k9ZZUCpwKTExixz6Eh3POJS/X3WPHA9OAvpLKJY00s0rgQmASMBd4wMzmJHQ8HxTQOecSJjPLdxoSN3DgQJsxY0a+k+Gccy2KpDfMbGDq8mZ/Z3Z9eInCOeeSV1CBwtsonHMueQUVKLxE4ZxzySuoQOElCuecS15BBQrnnHPJK6hA4VVPzjmXvIIKFF715JxzySuoQOGccy55BRUovOrJOeeSV1CBwquenHMueQUVKJxzziXPA4VzzrmMPFA455zLqKAChTdmO+dc8goqUHhjtnPOJa+gAoVzzrnkeaBwzjmXkQcK55xzGbWIQCFpS0kzJB2X77Q451xrk9NAIelOSUskvZOy/GhJ70uaL+nSLHb1G+CB3KTSOedcJsU53v9YYAxwd/UCSUXAjcCRQDkwXdJEoAi4OuX9ZwN7AO8CbXOcVuecc2nkNFCY2RRJvVIW7wvMN7MFAJImAEPN7Gpgs6olSYcCWwL9gDWSnjKzDWm2GwWMAigrK0vwLJxzrnXLdYkinW7Aoth8ObBfbRub2e8AJJ0FfJUuSETb3SrpM2BwaWnp3skl1znnWrcW0ZgNYGZjzeyJOrbxG+6ccy5h+QgUi4Eesfnu0bJG8yE8nHMuefkIFNOBnST1llQKnApMzEM6nHPOZSHX3WPHA9OAvpLKJY00s0rgQmASMBd4wMzmJHE8r3pyzrnk5brX0/Balj8FPJX08SQNBgb36dMn6V0751yr1WIas7PhJQrnnEteQQUKb8x2zrnkFVSg8BKFc84lr6AChXPOueQVVKDwqifnnEteQQUKr3pyzrnk5WOsJ+dcK1NRUUF5eTlr167Nd1Ic0LZtW7p3705JSUlW22cVKCQ9DNwBPF3boHzNgd9H4VzzVF5eTseOHenVqxeS8p2cVs3MWLp0KeXl5fTu3Tur92Rb9fR34DRgnqRrJPVtaCJzyauenGue1q5dS5cuXTxINAOS6NKlS71Kd1kFCjN73sxOB/YCFgLPS3pF0k8kZVd2cc61ah4kmo/6/i+ybsyW1AU4CzgHmAn8jRA4nqvXEZ1zLg86dOhQY37s2LFceOGF9drHrFmzeOqpxEcf2mjs2LFsu+22DBgwgAEDBnDGGWfUex+TJ0/muOM2ewZco2TbRvEI0BcYBww2s8+iVfdLmpFoipxzrhmqrKxk1qxZzJgxg2OPPTbt+uLixvcPOuWUUxgzZkyj95OkbEsU15tZPzO7OhYkADCzgTlIV4P4fRTOuYZ4/PHH2W+//dhzzz054ogj+OKLLwAYPXo0I0aM4KCDDmLEiBFcfvnl3H///QwYMID7779/s/VVVVVccskl7LPPPvTv359bbrll4zGuvfbajcuvuOKKeqVv1qxZ7L///vTv35/jjz+eb775BoD58+dzxBFHsMcee7DXXnvx4Ycf1njf9OnT2XPPPTdbXl/Zhr+tJZ2Qsmw58LaZLWlUChJkZo8Djw8cOPDcfKfFOZfelY/P4d1Pv010n/122IorBu+acZs1a9YwYMCAjfNff/01Q4YMAeD73/8+r776KpK4/fbb+fOf/8xf//pXAN59912mTp1Ku3btGDt2LDNmzNh4xT969Oga62+99VY6derE9OnTWbduHQcddBBHHXUU8+bNY968ebz++uuYGUOGDGHKlCkcfPDBm6Xz/vvvZ+rUqQD8/Oc/5yc/+QlnnHEGN9xwA4cccgiXX345V155Jddddx2nn346l156Kccffzxr165lw4YNLFoUnjT9yiuvcNFFF/HYY49RVlbWqM8320AxEjgAeCGaPxR4A+gt6Q9mNq5RqXDOuRxr164ds2bN2jhfnelD6L57yimn8Nlnn7F+/foa3UaHDBlCu3btat1vfP2zzz7L7NmzefDBBwFYvnw58+bN49lnn+XZZ59lzz33BGDlypXMmzcvbaBIrXpavnw5y5Yt45BDDgHgzDPP5KSTTmLFihUsXryY448/Hgj3RlSbO3cuo0aN4tlnn2WHHXao3weVRraBogTYxcy+AJC0HXA3sB8whdB24Zxzdarryj8fLrroIn7xi18wZMgQJk+ezOjRozeu23LLLTO+N77ezLjhhhsYNGhQjW0mTZrEZZddxnnnnVdj+Y033shtt90GkGgj+fbbb8/atWuZOXNmIoEi2zaK7tVBIrIE6GFmXwMVjU6Fc87l0fLly+nWrRsAd911V63bdezYkRUrVtS6ftCgQdx0001UVIRs8YMPPmDVqlUMGjSIO++8k5UrVwKwePFilixZwgUXXMCsWbOYNWtWrRl6p06d2HrrrXnppZcAGDduHIcccggdO3ake/fuPProowCsW7eO1atXA9C5c2eefPJJLrvsMiZPnly/DyONbAPFZElPSDpT0pnAY9GyLYFljU5FBpIOlfSSpJslHZrLYznnWqfRo0dz0kknsffee9O1a9datzvssMN49913NzZmpzrnnHPo168fe+21F7vtthvnnXcelZWVHHXUUZx22mkccMAB7L777px44okZA06qu+66i0suuYT+/fsza9YsLr/8ciAEjeuvv57+/ftz4IEH8vnnn298z3bbbccTTzzBBRdcwGuvvVaPT2NzMrO6Nwp3Z5wAfD9a9DLwkNXxZkl3AscBS8xst9jyown3YRQBt5vZNRn2cQhwKfAF8Cczm19XegcOHGjVdY/OufybO3cuu+yyS76T4WLS/U8kvZGuJ2udbRSSioDnzeww4KF6pmUsMIbQnhHf343AkUA5MF3SRELQuDrl/WcDL5nZi1G7yP8Ap9czDc455xqhzkBhZlWSNkjqZGb1ukHBzKZI6pWyeF9gvpktAJA0ARhqZlcTSh+1+QbYoj7Hd84513jZ9npaCbwt6TlgVfVCM7u4AcfsBiyKzZcTek+lFd2/MQjoTCid1LbdKGAU0Og+w8455zbJNlA8HL2anJlldWwzu1XSZ8Dg0tLSvXOfMuecax2yChRmdpekdkCZmb3fyGMuBnrE5rtHy5xzzjVDWXWPjR4INAt4JpofEDVAN8R0YCdJvSWVAqcCDd1XDf48CuecS16291GMJjRCLwMws1nA9+p6k6TxwDSgr6RySSPNrBK4EJgEzAUeMLM5DUh7uuP5oIDOuc0cdthhTJo0qcay6667jvPPP585c+Zw+OGH07dvX3bccUeuuOIKNmwID/JMHfZ7wIABvPvuu/k4hbzKNlBUpOnxVOcjUc1suJltb2YlZtbdzO6Ilj9lZjub2Y5mdlV9E53heF6icM5tZvjw4UyYMKHGsgkTJnDqqacyZMgQLr30Ut5//33efvttXn/9df72t79t3O6UU07ZePf0rFmz6NevX1MnP++yDRRzJJ0GFEnaSdINwCs5TFeDeInCOZfOiSeeyJNPPsn69esBWLhwIZ9++inz58/fOMIrQPv27RkzZgzXXnttPpPb7GTb6+ki4HfAOmA8odroj7lKVEP5MOPOtQBPXwqfv53sPr+7OxxT6wAPbLPNNuy77748/fTTDB06lAkTJnDyySczZ84c9t67ZifJHXfckTVr1rBsWRidKD7sN8C0adMyjiZbiLJ9ZvZqM/udme1jZgOj6eyfzN1EvEThnKtNvPppwoQJDB8+PKv3pVY9tbYgAdk/CnVn4FdAr/h7zOzw3CSrYbxE4VwLkOHKP5eGDh3Kf/7nf/Lmm2+yevVq9t57b2bOnMmUKVNqbLdgwQK6dOlC586d85LO5ijbNop/AjOB3wOXxF7NipconHO16dChA4cddhhnn332xtLE6aefztSpU3n++eeB8BS8iy++mCuvvDKfSW12sg0UlWZ2k5m9bmZvVL9ymrIG8F5PzrlMhg8fzltvvbUxULRr146JEydy1VVXsfPOO9O1a1cOOuggTj9909ij1c/Irn698kqz68eTc9kOMz6a8LCiRwgN2gBEDy5qdnyYceeal5YyzPijjz7KL37xC1544QV69uyZ7+TkVKLDjEfOjP7Gq5uMLG66c865lmLYsGEMGzYs38lodrId66l33VvlXzTUyOA+ffrkOynOOVcwMrZRSPp1bPqklHX/L1eJaihvo3DOueTV1Zh9amz6spR1RyecFudcAcumPdQ1jfr+L+oKFKplOt28c86l1bZtW5YuXerBohkwM5YuXUrbtm2zfk9dbRRWy3S6eeecS6t79+6Ul5fz5Zdf5jspjhC4u3fvnvX2dQWKPSR9Syg9tIumieazD0dNxBuznWueSkpK6N27RfSJcWlkrHoysyIz28rMOppZcTRdPV/SVInMljdmO+dc8rK9M9s551wr5YHCOedcRh4onHPOZZTtEB55I6kN4SFJWwEzzOyuPCfJOedalZyWKCTdKWmJpHdSlh8t6X1J8yVdWsduhgLdgQqgPFdpdc45l16uSxRjgTHA3dULJBUBNwJHEjL+6ZImAkXA1SnvPxvoC7xiZrdIehD4vxyn2TnnXExOA4WZTZHUK2XxvsB8M1sAIGkCMNTMrgaOS92HpHJgfTRbVduxJI0CRgGUlZU1Ou3OOeeCfLRRdAMWxebLgf0ybP8wcIOkHwBTatvIzG6V9BkwuLS0dO/atnPOOVc/zb4x28xWAyOz3Nafme2ccwnLR/fYxUCP2Hz3aFmj+TOznXMuefkIFNOBnST1llRKGMp8Yh7S4ZxzLgu57h47HpgG9JVULmmkmVUCFwKTgLnAA2Y2J4nj+VhPzjmXvFz3ehpey/KngKeSPp6PHuucc8krqCE8vEThnHPJK6hA4Y3ZzjmXvIIKFF6icM655BVUoHDOOZe8ggoUXvXknHPJK6hA4VVPzjmXvIIKFM4555JXUIHCq56ccy55BRUovOrJOeeSV1CBwjnnXPI8UDjnnMvIA4VzzrmMCipQeGO2c84lr6AChTdmOxqKgOIAABkPSURBVOdc8goqUDjnnEueBwrnnHMZeaBwzjmXUU6fcJcEST8ATiektZ+ZHZjnJDnnXKuS62dm3ylpiaR3UpYfLel9SfMlXZppH2b2kpn9FHgCuCuX6XXOObe5XJcoxgJjgLurF0gqAm4EjgTKgemSJgJFwNUp7z/bzJZE06cBI3OcXueccylyGijMbIqkXimL9wXmm9kCAEkTgKFmdjVwXLr9SCoDlpvZitqOJWkUMAqgrKys8Yl3zjkH5KcxuxuwKDZfHi3LZCTwj0wbmNmtZjbQzAZuu+22jUyic865as2+MRvAzK7IZjtJg4HBffr0yXGKnHOu9chHiWIx0CM23z1a5pxzrhnKR6CYDuwkqbekUuBUYGISO/YhPJxzLnm57h47HpgG9JVULmmkmVUCFwKTgLnAA2Y2J6Hj+aCAzjmXMJlZvtOQuIEDB9qMGTPynQznnGtRJL1hZgNTlxfUEB5eonDOueQVVKDwNgrnnEteQQUKL1E451zyCipQeInCOeeSV1CBwksUzjmXvIIKFF6icM655BVUoHDOuUYrnwE3DIT/+2O+U9JseKBwzjkAM3j1ZrjzaPjmI5j6v/BFIvcCt3gFFSi8jcI51yBrl8M/z4RnfgN9joALp0PbreCpX4cA0soVVKBodBtFxVpY/XWyiXLONW+fzYZbD4W5T8CRf4Dh42Gb78Hh/wUfT4U5D+c7hXlXUIGi0Z78Bdx+BCz9MN8pcc7lmhm8cVf4zVesgbOehIN+DlJYv/dZ8N3+MOn3sG5lXpOabx4o4vY6A9Z8A7f/O3z8Sr5T45zLlfWr4JGfwuMXQ88D4LyXwt+4NkVw7F9gxafw0l/zk85mwgNFXNn+cM7z0L4L3D0U3ro/3ykqXFUVUP5GqO5raqu+ys9xXfPw5ftw2+Ew+3449DL48cPQoZanYpbtB3sMh1duaNU1DQUVKBJpzO6yI4x8DnrsB4+Mgheu9saspK36KgTi2w+Hv+4MT/4SPp2Z2895/WqY/U+4exhc2wceOMP/r63R7H/CrYeF7+CIR+DQS0PJIZMjroTitvDMpU2TxmbIhxmvTeV6eOI/YNa9sPvJMHQMFG+RTAJbs8/fhvGnwaolcNhv4fN3YO5EqFwL2+0Ge/44fN5bdmn8scxg0Wvhf/jOI7B+BXQug+/sCh88DafeB//2w8YfxzV/FWtDRv/GP6DsADjxTthqh+zf/8oYePZ3MPx+6Ht07tKZZ7UNM+6BIhOzUDf5rz+GL9cp9yaTgbVWcx6FR8+Htp3h1Huh215h+Zpl8M5DMPMe+PRNaFMC/3Ys7DkCdjy87iu+VMsWwVsT4K374OsFULIl9BsKA06DngeBVcHNPwj11Be8BqXtkz9X13x8vQAeOBM+nw0H/UfozVRUXL99VFXATQdB1Tr42WtQ0jY3ac0zDxSN8c5D8Mj54Qrk9H9C152S23drsGEDvHgNvPjf0H1fOOUe6Lhd+m2/mAMz74XZE2D1Uui4A+xxaihpdNmx9mOsXxW6N866Fz6aAhj0+kEIDrsMgS061Nx+4VQY+0M4+Ndw+O8SO1XXzMx9HB69IPRkOv5m6HtMw/f14Qswbhgc/ns4+JLk0tiMeKBorEWvw/jhsKEyZHS9f5Ds/gvVuhWhd8l7T8CAH8Nx/5NdFV7levjgmVDKmP8c2AYoOzAEjH5DQ8ZvBp9MC8FhzmNR1VJPGHA67HEKbN0r8zEeOhfefRR+9mrmIJSU5YtDxrXbj2pvPHXJWPYJTLsRXrsZdtgLThoLW/ds/H7vHwHzngs35HXu0fj9NTMtNlBIKgOuB74GPjCza+p6T84ehfr1R3DfyeHvkBtgwPDG77OqAj55FT6bFTKQ+tSbNndffwQTTgu9TAZdBfv9dFMf9fr49jN4a3wIGl9/CKUdYKejQgP4Nx+F+X7DQumh7ABok2UfjRWfhzF9yvYPJcWGpC1blevgjqPC/7m4behJc8CF0LVP7o7Z2ixbBO8+BnMegcXR73/fUXDUn5JrX1z2CYzZF3YeBCfflcw+m5G8BApJdwLHAUvMbLfY8qOBvwFFwO2ZMn9JPwS2NrN7JN1vZqfUddycPjN7zbLQY+ajF0Px89DfZp8xVVv9Ncz/v9CgOv/5MHwAQLttYNhNhdFYtuDFMCSCWbia2/Gwxu/TLATVmfeEEsr2/UPpYZfBULplw/Y57UaY9NvcN2w/81t49UY45lpYMgdmjYeq9eGYB14UglVz89V8mDkudCPt8B047rpN7UrNxfLyTcGhfHpYtv0esOvx4eJhm97JH/PFP8MLV8EZE+F7hyS//zzKV6A4GFgJ3F0dKCQVAR8ARwLlwHRgOCFoXJ2yi7OBKuBBwIBxZvaPuo6b00ABoRTwxH+GH9GuJ4TMPVPjlhl8NS8Ehg8mhczOqmDLbWGnQSEwdC6Dxy4IvYL2/xkcMbpl9rIyg9dvCz1Muu4UMuCmqNZpqKoKuOXgcOdtrhq2338Gxp8Srm6PvTYsW7kEXr8Vpt8ebvLsvi8cdDH0Pbb+jfdJWr8qdDqYeQ988gqoKIx99PlsWPlFCGqHXgYl7fKXxm8/3RQcFr0Wln13903BIdfft4q1cOO+4TP46VQoKsnt8ZpQ3qqeJPUCnogFigOA0WY2KJq/DMDMUoNE9ft/BbxuZlMkPWhmJ9ay3ShgFEBZWdneH3/8cdKnUpMZvHwdPD86/MiHj4ctu25aX7k+/NDefybUtX/zUVi+3e4hMOx8dKg7jZdGKtbCc5fD67eEq6IT/9G8M9lUlevhqV/Cm3fDzsfACbeGgdWau4Uvw9hjQwnx8N8nu+/li+Hm70OnbjDy+c0vKNavCo3308bAso9hmx3hgAtCNVpTZcZmYWjtmePgnYdDW0+XPqE9aI/h0PG7oST93H+F/+02O4bu4j0PbJr0Qah+nDsxBIdPpoVl2+0Ouw4LAaKpfyfvPQUThsOgq+GAnzXtsXOoOQWKE4GjzeycaH4EsJ+ZXVjL+3cDRgNfASvN7FcZjjUYGNynT59z582bl+Rp1G7Oo/DIedBhO/jR7eHuzQ+egQ//Beu+haItQvF050EhOHTqXvc+33sylC6qKuC4/4X+J+f+PBpr5ZLQ0LfoVfjBr+Cw39W/Si6fctGwvaEK7hoMn86C817M3FuuqhLeexxevj50EW7fJZRA9jk3d12yV30VuhHPHAdfvgcl7UOmu+eIUBWWrs1mwWSYeHEIavucE0q+W3TMTfpWfx16HM55JBpSx8I9MLseHwJEPnsfmsG9J4ZOLhe9EarmCkCLDRQNkfOqp1TlM2D8qbDqyzDfYbsoMBwTgkRD6s+Xl8ND54SrpwGnwzF/3ryLZ3Px6SyYcHrozjrsxtAo39LkomF78jUw+WoYdnP2HR/M4OOXw5ARHzwDxe1C6eKAC5IJYBuqQvvYzHHw/tOwoQK67xOCw67HZ1cCXL8K/vUnePWmcOEz+LpQPZUEs9DWMP2OECCq1sG2u2wKDtv2TeY4SfhqPvx9/3AhN+zv+U5NIppToKhX1VM9j9X0JYpqyxaFH173gbD9gGSupqsqYcqfQ+NZlz5w0j9CXWxz8s5DoZ96+y7hJrodBuQ7RQ037e8w6bJwY+UuxzVuXwunhtJE/1NC//2GWPIeTLsBZj8QSpd9jwldfotKQ/tVUUkosRZvEVtW/XcLKC7d9BdCdcms+8Igd+27hGqlPX8M39mlYelb9Do8diF89T7scVro2dZ+m4bta92KcJ4z/gFfvB16svU/BQb+pPl95+OeuyJUQY98Dnrsm+/UNFpzChTFhMbsfwcWExqzTzOzRj9KKq+BIpc+mgIPjwpF8UFXhSJ/Ele8G6pCd81ln4T2kYrVYbjlijVQGf2tWF1zXWV8u9XwzULosT+cMq7lF7+rKuGWHzS+YXvVUrj5oFCSHPVi40uCKz6H124JvY/WfhuusqvW138/ahOu/PccEapBqwNIY1SugynXhqfBtdsGfviXcJ9Ltj5/B2bcEYLE+pWh3WGfs2H3k3JXpZWkdSthzMBQi3Duv/LbEQHCb7oRachXr6fxwKFAV+AL4Aozu0PSscB1hJ5Od5rZVUket8mrnprCqq/C8BfznoV/Oy7cx1HfqzezUBe94MUQfBZOhXW1DKCoolBnXdIuerUPDbHVy4qj6a47hWERksh0moPGNmybwX2nwIIX4Jz/C114c8EsBIvKdbG/60KHgvjfqvXR9HrotndoVM+Fz2ZHvfZmhzvhj/1L7XffV6wN7UHT74Dy10OpZ7cTYODIUCLP5f0sufD2g/DQSBj8t/AMi3xY+mHoqfbWeDjziQbfn9Nib7irj4ItUVTbsAFeuykUdztsByfeUXf/+28WbgoMH00Jg/FBqMLofTD0PiRUPZS0rxkMCqjLX709PCrUjzekYbv6voxjroX9RuUmfc1VVUVoW5l8TbiYOPrqUL1VnfEv/RBm3BnupF/zTeg9NfDs0AbT0Cqr5sAsDAezZG5o2G6qc6lYE+70f/NuWPhSKDHudBT8+xWwXb8G7bJVBIpqBVmiiFv8Jjx4dqgyOuwy+P4vNhU3V3wRBYUoOCyLugl32C4Ehd4Hh1cSwxkUqoY2bC9+M9x9vfOgMMxLS7syTsqXH8DEi0IPuD5HhLaGWfeGHlMqCjcZ7jMSeh3csnrGZfL5O6HacuDIUP2W02O9HYLD7PvDzbpb9wrViQNOa/TIDq0iUBR8iSJu7bfhpr93HgyD332nXwgOX74X1rftFJb3PiT0vOq6c+vNuBqivg3ba78NN+5VVcBPX2rZV8hJ2LABpt8Gz18JFatgq26hWmbPEbDV9vlOXW48dUm4gfK8Kck3wK9dHqq4Zo4LQ9cUlYYqvr3OCL/zhAJuqwgU1Qq+RFHNLFypPRWNZFl2QCgtfO+Q8KzffDestWRVldEd29/CBa9nbtg2C12Z5zwCP3mqeQ7HkS/LF4fxucoOrP/Q3i3Nmm/ghr2ha9/wPWjshVn1kDVv3h2+W5Vrwn0ke50RuuTm4GKktkBR4P+5AieF7o27ngBtigunQbk5KCoOw22MPRam/k/mhu2Z94SS3eH/5UEiVaduuWtAb27abR3aBx6/OPQC675PuPIvKon+RtPV3Zjjy+MXdSu/DI3Sb94NS+eFrsJ7nBICxA575aVmoKBKFK2q6sk1jboatr98H245JPShH/GIl+Jauw0b4M6jNg1QmC212RQ01q8KY8H12B/2GhHGr2qim2296sm5hljxRegn32NfOP3BmldzFWvgtsPD8CXnvxzGRHKuYk3oLlwVdUuuqkiZXrf5supuzlUVISjsflJe7kL3qifnGqLjduHZ3s9cGsbgijdsT/otLHkXfvyQBwm3SUk7KNsv36lIVIH0TQskDZZ06/LltdxE5lxD7HNuaER85lJYvzosm/NouCfgoJ8nN86Rc81UQQUKM3vczEZ16tQp30lxhaSoOPSNX74IXvpruIlx4sXQbWBowHauwHnVk3PZ6Hkg9D8VXrk+jOoK4c741nwHu2s1CqpE4VxOHfmHMMbVF+/AkOvDHbHOtQJeonAuWx23gxPvDFVPuw7Ld2qcazIFFShi91HkOymuUO10ZL5T4FyTK6iqJ2/Mds655BVUoHDOOZc8DxTOOecy8kDhnHMuo2YfKCT1k/SApJsknZjv9DjnXGuT00Ah6U5JSyS9k7L8aEnvS5ov6dI6dnMMcIOZnQ+ckbPEOuecSyvX3WPHAmOAu6sXSCoCbgSOBMqB6ZImAkXA1SnvPxsYB1whaQjQJcfpdc45lyKngcLMpkjqlbJ4X2C+mS0AkDQBGGpmVwO1PXPygijAPFzbsSSNAkYBlJWVNTLlzjnnquXjhrtuwKLYfDlQ65i8UaD5LbAlcG1t25nZrcCt0Xu+lPRxA9PXFfiqge9tqfycWwc/58LX2PPtmW5hs78z28wWEpUU6vGebRt6PEkz0j24o5D5ObcOfs6FL1fnm49eT4uBHrH57tEy55xzzVA+AsV0YCdJvSWVAqcCE/OQDuecc1nIdffY8cA0oK+kckkjzawSuBCYBMwFHjCzOblMRz3dmu8E5IGfc+vg51z4cnK+MrNc7Nc551yBaPZ3ZjvnnMsvDxTOOecyarWBoq5hRCSdFd2PMSt6nZOPdCYpm6FTJJ0s6V1JcyTd19RpTFoW/+f/jf2PP5C0LB/pTEoW51sm6QVJMyXNlnRsPtKZpCzOuaek/4vOd7Kk7vlIZ5JqGx4ptl6Sro8+k9mS9mrUAc2s1b0Iw4V8CHwPKAXeAvqlbHMWMCbfaW3ic94JmAlsHc1/J9/pzvU5p2x/EXBnvtOd4//xrcD50XQ/YGG+090E5/xP4Mxo+nBgXL7TncB5HwzsBbxTy/pjgacBAfsDrzXmeK21RLFxGBEzWw9MAIbmOU25ls05nwvcaGbfAJjZkiZOY9Lq+38eDoxvkpTlRjbna8BW0XQn4NMmTF8uZHPO/YB/RdMvpFnf4pjZFODrDJsMBe624FWgs6TtG3q81hoo0g0j0i3Ndj+Kim0PSuqRZn1Lks057wzsLOllSa9KOrrJUpcb2f6fkdQT6M2mDKUlyuZ8RwM/llQOPEUoRbVk2ZzzW8AJ0fTxQEdJhT7AaNbf/Wy01kCRjceBXmbWH3gOuCvP6WkKxYTqp0MJV9e3Seqc1xQ1nVOBB82sKt8JybHhwFgz606onhgnqdDzgV8Bh0iaCRxCGAmi0P/PiSr0L0ht6hxGxMyWmtm6aPZ2YO8mSluuZDN0Sjkw0cwqzOwj4ANC4Gip6jNczKm07GonyO58RwIPAJjZNKAtYSC5liqb3/KnZnaCme0J/C5a1qI7LWQh0aGSWmugqHMYkZT6vCGEu8hbsmyGTnmUUJpAUldCVdSCpkxkwrIaLkbSvwFbE0YRaMmyOd9PgH8HkLQLIVB82aSpTFY2v+WusVLTZcCdTZzGfJgInBH1ftofWG5mnzV0Z81+9NhcMLNKSdXDiBQRerrMkfQHYIaZTQQujh6WVEloNDorbwlOQJbnPAk4StK7hKL5JWa2NH+pbpwszxlC5jLBou4iLVWW5/tLQpXifxIats9qyeed5TkfClwtyYApwAV5S3BCouGRDgW6Ru1NVwAlAGZ2M6H96VhgPrAa+EmjjteCvyPOOeeaQGutenLOOZclDxTOOecy8kDhnHMuIw8UzjnnMvJA4ZxzLiMPFK5FkLQyi23+Q1L7BI85TFK/BPf3SiPeuzL6u4OkBzNs11nSzxp6HOfS8UDhCsl/APUKFJKKMqweRhhQLhFmdmAC+/jUzE7MsElnwAOFS5QHCteiSDo0eqbAg5Lek3RvdPfpxcAOwAuSXoi2PUrSNElvSvqnpA7R8oWS/lvSm8BJks6VNF3SW5IektRe0oGEO/KvjZ5VsaOkAdFgibMlPSJp62h/kxWeazFD0lxJ+0h6WNI8SX+KpX1lbPo3kt6OjnlNmvPsHaX97ZR99Kp+BoGkXSW9HqVvtqSdgGuAHaNl10rqoPAshjejfQ2N7WeupNsUnj3yrKR20bo+kp6P0vampB2j5ZdEn9NsSVcm+o91zVu+x1X3l7+yeQEro7+HAssJY9e0IQy78f1o3UKgazTdlXAX7pbR/G+Ay2Pb/Tq27y6x6T8BF0XTY4ETY+tmA4dE038AroumJwP/HU3/nDB09/bAFoTxs7qknMMxwCtA+2h+mzTnOxE4I5q+IPbeXkTPIABuAE6PpkuBdvH10fJiYKvYZzKf8IyCXoRRBwZE6x4AfhxNvwYcH023JZTSjiI8y0LR5/4EcHC+vxf+appXqxzCw7V4r5tZOYCkWYRMb2rKNvsTqo1elgQhI42P5XR/bHq36Kq9M9CBMBxEDZI6AZ3N7MVo0V2EB+JUqx4O5G1gjkXj6khaQBicLT4UyhHAP8xsNYCZpXuuwEHAj6LpccB/p9lmGvA7hSe2PWxm86JzrZF04P9JOhjYQBhqerto3UdmNiuafgPoJakj0M3MHonStjY6j6MIwWJmtH0HwoCRU9KkyxUYDxSuJVoXm64i/fdYwHNmNryWfayKTY8FhpnZW5LOIhoYsYFp2pCSvg21pC8bGcfXMbP7JL0G/BB4StJ5bD6I4+nAtsDeZlYhaSGhlBBPM4TPsV2Gwwm42sxuqUf6XYHwNgpXSFYAHaPpV4GDJPUBkLSlpJ1reV9H4DNJJYSMdbP9mdly4BtJP4jWjQBepGGeA35S3UNL0jZptnmZMFghKWnaSNL3gAVmdj3wGNCfmp8BhKfYLYmCxGFAz0wJM7MVQLmkYdExtojSOQk4O9bO003Sd7I6W9fieaBwheRW4BlJL5jZl4QRf8dLmk2opvm3Wt73X4R6+ZeB92LLJwCXSJoZNeieSWjcng0MILRT1JuZPUOoqpoRVZ39Ks1mPwcukPQ2tT+Z7GTgnWgfuxEefbmUUN32jqRrgXuBgdF+zkg5v9qMIIyePJvQlvJdM3sWuA+YFu3rQWoGJFfAfPRY55xzGXmJwjnnXEYeKJxzzmXkgcI551xGHiicc85l5IHCOedcRh4onHPOZeSBwjnnXEb/HzM5EZmqUo/tAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
@@ -161,7 +158,7 @@
"pylab.xlabel('Interatomic distance')\n",
"pylab.ylabel('Energy')\n",
"pylab.yscale('log')\n",
- "pylab.title('Energy difference from ExactEigensolver')\n",
+ "pylab.title('Energy difference from NumPyMinimumEigensolver')\n",
"pylab.legend(loc='center right');"
]
},
@@ -172,7 +169,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -190,13 +187,6 @@
"pylab.title('VQE number of evaluations')\n",
"pylab.legend(loc='upper left');"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
diff --git a/chemistry/h2_uccsd.ipynb b/chemistry/h2_uccsd.ipynb
index 36e9c3b..576298b 100644
--- a/chemistry/h2_uccsd.ipynb
+++ b/chemistry/h2_uccsd.ipynb
@@ -6,7 +6,7 @@
"source": [
"## _*H2 dissociation curve using VQE with UCCSD*_\n",
"\n",
- "This notebook demonstrates using Qiskit Chemistry to plot graphs of the ground state energy of the Hydrogen (H2) molecule over a range of inter-atomic distances using VQE and UCCSD. It is compared to the same energies as computed by the ExactEigensolver. `UCCSD` should be used together with `HartreeFock` initial state.\n",
+ "This notebook demonstrates using Qiskit Chemistry to plot graphs of the ground state energy of the Hydrogen (H2) molecule over a range of inter-atomic distances using VQE and UCCSD. It is compared to the same energies as computed by the NumPyMinimumEigensolver. `UCCSD` should be used together with `HartreeFock` initial state.\n",
"\n",
"This notebook has been written to use the PYQUANTE chemistry driver. See the PYQUANTE chemistry driver readme if you need to install the external PyQuante2 library that this driver requires."
]
@@ -22,24 +22,22 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Couldn't find cython int routine\n",
- "Couldn't find cython int routine\n",
"Processing step 20 --- complete\n",
"Distances: [0.5 0.525 0.55 0.575 0.6 0.625 0.65 0.675 0.7 0.725 0.75 0.775\n",
" 0.8 0.825 0.85 0.875 0.9 0.925 0.95 0.975 1. ]\n",
- "Energies: [[-1.05515974 -1.07591359 -1.09262986 -1.105918 -1.11628598 -1.12416087\n",
- " -1.12990474 -1.1338262 -1.13618942 -1.13722135 -1.13711705 -1.13604435\n",
- " -1.13414767 -1.1315512 -1.12836188 -1.12467175 -1.12056029 -1.11609624\n",
- " -1.11133942 -1.10634212 -1.10115032]\n",
- " [-1.05515975 -1.07591362 -1.09262988 -1.10591802 -1.11628599 -1.1241609\n",
- " -1.12990477 -1.13382621 -1.13618945 -1.13722136 -1.13711707 -1.13604437\n",
- " -1.13414767 -1.13155121 -1.12836189 -1.12467176 -1.12056029 -1.11609625\n",
+ "Energies: [[-1.05515973 -1.0759136 -1.09262986 -1.105918 -1.11628598 -1.12416089\n",
+ " -1.12990475 -1.13382618 -1.13618942 -1.13722134 -1.13711706 -1.13604434\n",
+ " -1.13414766 -1.13155119 -1.12836187 -1.12467174 -1.12056027 -1.11609624\n",
+ " -1.11133942 -1.10634211 -1.10115032]\n",
+ " [-1.05515974 -1.07591361 -1.09262987 -1.10591802 -1.11628599 -1.12416089\n",
+ " -1.12990476 -1.1338262 -1.13618944 -1.13722136 -1.13711707 -1.13604436\n",
+ " -1.13414767 -1.13155121 -1.12836188 -1.12467175 -1.12056028 -1.11609624\n",
" -1.11133943 -1.10634212 -1.10115034]]\n",
- "Hartree-Fock energies: [-1.04299623 -1.0630621 -1.07905071 -1.09157046 -1.10112823 -1.10814997\n",
- " -1.11299653 -1.11597526 -1.11734903 -1.11734326 -1.11615145 -1.11393967\n",
- " -1.11085041 -1.10700581 -1.10251057 -1.09745433 -1.09191405 -1.08595589\n",
- " -1.07963695 -1.07300677 -1.06610866]\n",
- "VQE num evaluations: [49. 49. 56. 50. 43. 52. 50. 47. 61. 46. 43. 57. 49. 49. 48. 53. 53. 52.\n",
+ "Hartree-Fock energies: [-1.04299622 -1.0630621 -1.0790507 -1.09157046 -1.10112822 -1.10814997\n",
+ " -1.11299652 -1.11597525 -1.11734902 -1.11734325 -1.11615145 -1.11393966\n",
+ " -1.1108504 -1.10700581 -1.10251056 -1.09745432 -1.09191405 -1.08595588\n",
+ " -1.07963694 -1.07300677 -1.06610866]\n",
+ "VQE num evaluations: [49. 53. 50. 50. 41. 47. 49. 47. 51. 46. 42. 57. 45. 49. 49. 50. 50. 46.\n",
" 54. 56. 55.]\n"
]
}
@@ -50,7 +48,7 @@
"import copy\n",
"from qiskit import BasicAer\n",
"from qiskit.aqua import QuantumInstance\n",
- "from qiskit.aqua.algorithms import ExactEigensolver, VQE\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver, VQE\n",
"from qiskit.aqua.components.optimizers import COBYLA\n",
"from qiskit.chemistry.components.initial_states import HartreeFock\n",
"from qiskit.chemistry.components.variational_forms import UCCSD\n",
@@ -58,7 +56,7 @@
"from qiskit.chemistry.core import Hamiltonian, TransformationType, QubitMappingType\n",
"\n",
"molecule = 'H .0 .0 -{0}; H .0 .0 {0}'\n",
- "algorithms = ['VQE', 'ExactEigensolver']\n",
+ "algorithms = ['VQE', 'NumPyMinimumEigensolver']\n",
"\n",
"start = 0.5 # Start distance\n",
"by = 0.5 # How much to increase distance by\n",
@@ -79,29 +77,27 @@
" two_qubit_reduction=False)\n",
" qubit_op, aux_ops = operator.run(qmolecule)\n",
" \n",
- " if algorithms[j] == 'ExactEigensolver':\n",
- " result = ExactEigensolver(qubit_op).run()\n",
+ " if algorithms[j] == 'NumPyMinimumEigensolver':\n",
+ " result = NumPyMinimumEigensolver(qubit_op).run()\n",
" else:\n",
" optimizer = COBYLA(maxiter=10000)\n",
- " initial_state = HartreeFock(qubit_op.num_qubits,\n",
- " operator.molecule_info['num_orbitals'],\n",
+ " initial_state = HartreeFock(operator.molecule_info['num_orbitals'],\n",
" operator.molecule_info['num_particles'],\n",
" qubit_mapping=operator._qubit_mapping,\n",
" two_qubit_reduction=operator._two_qubit_reduction)\n",
- " var_form = UCCSD(qubit_op.num_qubits, depth=1,\n",
- " num_orbitals=operator.molecule_info['num_orbitals'],\n",
- " num_particles=operator.molecule_info['num_particles'],\n",
- " initial_state=initial_state,\n",
- " qubit_mapping=operator._qubit_mapping,\n",
- " two_qubit_reduction=operator._two_qubit_reduction)\n",
+ " var_form = UCCSD(num_orbitals=operator.molecule_info['num_orbitals'],\n",
+ " num_particles=operator.molecule_info['num_particles'],\n",
+ " initial_state=initial_state,\n",
+ " qubit_mapping=operator._qubit_mapping,\n",
+ " two_qubit_reduction=operator._two_qubit_reduction)\n",
" algo = VQE(qubit_op, var_form, optimizer)\n",
" result = algo.run(QuantumInstance(BasicAer.get_backend('statevector_simulator')))\n",
+ " eval_counts[i] = result.optimizer_evals\n",
" \n",
- " lines, result = operator.process_algorithm_result(result)\n",
- " energies[j][i] = result['energy']\n",
- " hf_energies[i] = result['hf_energy']\n",
- " if algorithms[j] == 'VQE':\n",
- " eval_counts[i] = result['algorithm_retvals']['eval_count']\n",
+ " result = operator.process_algorithm_result(result)\n",
+ " energies[j][i] = result.energy\n",
+ " hf_energies[i] = result.hartree_fock_energy\n",
+ "\n",
" distances[i] = d\n",
"print(' --- complete')\n",
"\n",
@@ -118,7 +114,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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bggULGDRoED179uStt97ixIkTHD16lL179/Ltt9+ml8s4vXpwcDANGzYs6PC1IkQnkHzoE+DF6ajbHL0YbetQNC1dv379WLNmDUlJxgXQzp49y6VLlzh16lT6jLkAJUuW5LvvvuPzzz+3ZbhaEaYnU8yHbo2r8P6KYyw7dBE/7zK2DkcrjNa9BZePWrbOyo2h6ydZ7i5XrhyBgYGsW7eOXr16sWDBAgYMGMCxY8do1qzZXWVr167NnTt3uHXrFnD39OoAu3btynZ2Xq140y2QfHAv4cijPhVZdfgSKakGW4ejaekyXsZasGABgwcPNuu4ey9h6eShZUe3QPKpT4AX60Iusy38Gh0aVLR1OFphk01LwZp69erFhAkTOHjwIPHx8TRr1oxDhw6xdevWu8qdOXOG8uXLU6aMbkFruadbIPnUvn5FypR01FObaIWKq6srHTp0YNSoUemtj6FDh7J9+3Y2b94MGFctfOmll/jggw9sGapWhOkEkk9ODnb08KvCxtDLxCWm2DocTUs3ePBgDh8+nJ5ASpQowcqVK5k8eTL16tWjQoUKBAUFMXTo0PRj0tZAT3vs3LnTVuFrRYCezt0CDpy7Qd/pu/iifxP6NfO2eP1a0VJUpnNfvnw5r7zyCn///TfVq1e3dThaIaGnc7eCmOgLWe5rWq0s1cuXZNmhiAKMSNPyp3fv3pw5c0YnDy3PdAIxw+SF3RiwtBvKkPmdViJCb38vdp6+zuXohAKOTtM0zTZ0AjGDr4cfF+3hSOiiLMv0DvBCKT21iaZpxYdOIGZ4tMV4nJRibejcLMvUrFCKgGpl9N1YmqYVGzqBmMHVrQrt7MuwIe4sKclZX6LqE+DF8cuxhEXGFGB0mqZptqETiJm61uzGdXth7+FfsizTw88TBzvRrRBN04oFnUDM1LbZc7gaFOtO/pFlmXKlnGhf34MVwRdJNRSf26O1wkdEePXVV9Nff/HFF0yaNMkidU+aNAkvLy/8/f3x9fVl5cqV2ZYfMWIEJUuWJDY2Nn3byy+/jIhw7do1ANq0aZPjeUePHl2g08tv2bIFd3f3u8bFpA3CNCdea3N1dbV1CDqBmMulRFkeca7E5sTLJCZkPftunwBvrsQksuv09QKMTtPu5uzszB9//JH+BW1pEyZMIDg4mMWLFzNq1Kj0NUWyUqdOHVasWAGAwWDgr7/+wsvLK32/OQMWf/rppwKfXr5t27Z3zQ3WsWNHwLx4i4KUlPwNftYJJBe61e1DnJ2w/cD0LMs86lMRN2cHfRlLsykHBwfGjBnD119/fd++ESNGsGTJkvTXab9kt2zZQrt27ejVqxe1atXirbfeYt68eQQGBtK4cWNOnz59X10+Pj44ODhw4cIFatasSXJyMgAxMTF3vR40aBALFy5MP09QUBAODv+bii9jDO3bt6dfv340aNCAoUOHpq+30759e9IGAru6uvL666/TqFEjOnbsyN69e2nfvj21atVKbxHNnj2bF198Mf0cPXr0YMuWLWYfn520eA0GA88//zwNGjSgU6dOdOvWLf2zPXDgAO3ataNZs2Z07tyZyMjI9Pfx5ptvEhgYSL169di2bRsAx44dIzAwEH9/f/z8/AgPDwfgq6++wtfXF19fX7755pv7Yhk0aBBr1qxJf532901NTeX111+nRYsW+Pn58eOPP6Z/xm3btqVnz575Tsg2mUxRRPoDkwAfIFAplenwcBHpAnwL2AM/KaU+MW0X4EOgP5AKTFdKTbF23C39R1Mu5AfWnFnDo0FvZVrGxdGebo2rsPrIJT7s7UsJJ3trh6UVYp/u/ZTjN45btM4G5RrwZuCbOZZ74YUX8PPz44033jC77sOHDxMWFka5cuWoVasWo0ePTl90aurUqfd9ge3Zswc7OzuqVatG+/btWbNmDb1792bBggU88cQTODo6AlCvXj1WrlzJzZs3mT9/PsOGDWPdunWZxnDo0CGOHTuGp6cnQUFB7Nixg4ceeuiuMrdv3+aRRx7h888/p0+fPrz77rts2rSJ0NBQnnrqKXr27Jnt+zT3+G3btuHv759+3NKlS6ldu3b66z/++IOzZ88SGhrK1atX8fHxYdSoUSQnJzNu3DhWrFiBh4cHCxcu5J133uGXX4x9qCkpKezdu5e1a9fywQcfsHnzZn744QfGjx/P0KFDSUpKIjU1lQMHDjBr1iz27NmDUoqWLVvSrl07AgIC0mMYOHAgixYtonv37iQlJfHnn38yffp0fv75Z9zd3dm3bx+JiYl3rQVz8OBBQkJCqFmzZrafU05sNRtvCPAE8GNWBUTEHpgGdAIigH0islIpFQqMAKoCDZRSBhEpkGlwHRxdeKxkNZbFnycuNhJXtyqZluvT1IuF+y+wMfRy+tK3mlbQSpcuzfDhw5kyZYrZ07K3aNGCKlWM/65r166d/oXTuHFj/v777/RyX3/9NXPnzsXNzY2FCxciIowePZrPPvuM3r17M2vWLGbOnHlX3U888QQLFixgz5496b+GMxMYGIi3t3FKIH9/f86ePXtfAnFycqJLly7psTk7O+Po6Ejjxo05e/Zsju/T3OPbtm3L6tWrs6xn+/bt9O/fHzs7OypXrkyHDh0AOHHiBCEhIXTq1AmA1NTU9M817bMAaNasWfr5WrduzeTJk4mIiOCJJ56gbt26bN++nT59+lCqVKn047Zt23ZXAunatSvjx48nMTGR9evX8/DDD1OiRAk2btzIkSNH0ltE0dHRhIeH4+TkRGBgYL6TB9gogSilwsDY0ZeNQOCUUuqMqewCoBcQCjwHDFFKGUz1XbVqwBl0bziUBQc/4a99U+n5yEeZlgmsUQ6vMiVYduiiTiDFnDktBWt6+eWXadq0KSNHjkzf5uDgkN5nYTAY0lcuBGPfSRo7O7v013Z2dnddL58wYQKvvfbaXecKCgri7NmzbNmyhdTUVHx9fe/aP3DgQJo1a8ZTTz2FnV3WV88zxmBvb5/pdXpHR8f074+s4sz4PgESEhJydXx+KKVo1KgRu3btynR/2vkyvr8hQ4bQsmVL1qxZQ7du3bJNshm5uLjQvn17NmzYwMKFCxk0aFB6DFOnTqVz5853ld+yZUt6QsqvwtwH4gVknIAqwrQNoDYwUET2i8g6EambVSUiMsZUbn9UVFS+g2rSaDCeqbD2wp9ZlrGzE3r5e7It/BpRsYn5Pqem5VW5cuUYMGAAP//8c/q2GjVqcODAAQBWrlyZ3k9hCcOHD2fIkCF3Jaw01atXZ/LkyTz//PMWO192atSoQXBwMAaDgQsXLrB3716LnyMoKIilS5diMBi4cuVKeh9L/fr1iYqKSk8gycnJHDt2LNu6zpw5Q61atXjppZfo1asXR44coW3btixfvpz4+Hhu377NsmXLaNu27X3HDhw4kFmzZrFt27b0llXnzp2ZPn16+t/35MmT3L5924Lv3ooJREQ2i0hIJo9eFqjeGUgwzQ45E8hycIZSaoZSqrlSqrmHh0e+Tyx2dnR1r89udZsbN05lWa5PgBepBsWqw5fyfU5Ny49XX331rruxnnnmGf755x+aNGnCrl27LPZrFIxrjty8eTPLFRDHjh17Vx+CNQUFBVGzZk0aNmzISy+9RNOmTXNdR1ofSNoj480HAH379sXb25uGDRsybNgwmjZtiru7O05OTixZsoQ333yTJk2amDU1/qJFi/D19cXf35+QkBCGDx9O06ZNGTFiBIGBgbRs2ZLRo0ffdfkqzWOPPcY///xDx44dcXJyAoy3PTds2JCmTZvi6+vL2LFjLdK6uotSymYPYAvQPIt9rYENGV6/Dbxten4cqGl6LkC0Oedr1qyZsoTjJ1cr39m+av66F7Mt133KVtVjyjaLnFMrOkJDQ20dgs0sXrxYDRs2zNZhFKjY2FillFLXrl1TtWrVUpGRkTaOKH8y+/cL7FeZfKcW5iVt9wF1RaQmcBEYBAwx7VsOdAD+BdoBJwsysHq1u1Jn29usvbyTQdmU6+3vxYdrwjh1NZY6Fd0KLD5Ns4Vx48axbt061q5da+tQClSPHj24desWSUlJvPfee1SuXNnWIRUYm/SBiEgfEYnA2MpYIyIbTNs9RWQtgFIqBXgR2ACEAYuUUmkXET8B+orIUeBjYHSBxm9nR9cKTTgkSVy6lPUCVT39PbET9JgQrViYOnUqp06dol69erYOpUBt2bKF4OBgQkNDGTFihK3DKVA2SSBKqWVKKW+llLNSqpJSqrNp+yWlVLcM5dYqpeoppWorpSZn2H5LKdVdKdVYKdVaKXW4oN9D1wBjR+C6A9OyLFPRzYWH6nqw/NAlDHpqk2JFFaOVPrUHR27/3Rbmu7AKtapVW+NncGDdtYPZluvb1IuLt+7wT3j+7wDTigYXFxeuX7+uk4hWpCiluH79Oi4uLmYfU5j7QAq9bpVb8cnV7Zw+vYnatTtlWqarbxU+Ln2cn7adoUP9AhnvqNmYt7c3ERERWOK2cU0rSC4uLumDOM2hE0g+dG7+Ep+t2cbaIz8xLosE4uRgx8igGny87jghF6Px9XIv4Ci1gubo6GiRUb6aVtjpS1j5UMHDh0ApydqboVmulw4wuGU1XJ0dmLntTAFGp2maZl06geRTN692RNhDSNjSLMuUdnFkUIuqrD4SycVbdwowOk3TNOvRCSSfHm3xEo5KsfbYr9mWG/mQ8ZLGrO3/FkRYmqZp6SKjrfPDVSeQfCrtXpW29u6sj/uX1JSkLMt5lSlBD78qzN97nug7lpt7SNM0LTurDl+i3Wdb2Bx6xeJ16wRiAd1qdOGavbD/yOxsyz3Ttha3k1JZsPd8wQSmaVqxtmj/BcYvOIR/1TK0rFXO4vXrBGIB7Zq/SEmDYu2JxdmW8/VyJ6hOeWbtOEtSSvZLgGqapuXH7B3/8saSIwTVqcCcUYG4uTha/Bw6gViAS4myPOpUkU0JkSQlxmZb9pm2tbgck6Bn6dU0zWqm/X2KSatC6dyoEj891dxqK6PqBGIhXev2JjaH9dIB2tXzoH4lN2ZuO6NHKmuaZlFKKT5bf5zPN5ygt78n04Y0xdnBestq6wRiIa0CRlPWoFh3JuvlL8G4CuPotjU5fjmWbeHXsi2raZpmLoNB8cGqUL7fcprBgdX4aoA/DvbW/YrXCcRCHB1L8liJqmxJvkF8XPYr7Pb096Sim7MeWKhpmkWkGhRvLD3C7J1nGf1QTT7q44udXbZLhluETiAW1M1nMAl2wl/7p2ZbztnBnhFBNdgWfo3QSzEFFJ2maQ+ipBQDLy04xJIDEYx/tC7vdPdJX+/d2nQCsSB/3yFUTlWsPb8px7JDA6tT0smen3QrRNO0PEpITuW5uQdYcySSd7r5MKFTvQJLHqATiEXZ2TvQ1b0euwxx3LxxOtuy7iUdGdSiGisPX7LaKFFN0x5ctxNTGDV7H3+duMqHvX155uFaBR6DTiAW1s13BCkibNo3JceyI4NqoIBZO85aPS5N0x4c0XeSefLnPew+c50v+zdhWKvqNolDJxALq1+3B7VShbWRO3IsW7VcSbo1rsLve84Tk6CnN9E0LWfX4xIZPGM3Ry9G8/3QpjzR1Pz1OyxNJxALEzs7upb344AkcjnyUI7ln2lbk7jEFBbuvVAA0WmaVpRdjk5g4IzdnI6KY+bw5nTxrWLTeHQCsYJuAc8CsD6b9dLT+HmXoVWtcvyy41+SU/X0JpqmZe7CjXj6/7iTyFt3mDMqkPaFYIVTnUCsoFq1h/A1OLA2ar9Z5cc8XIvI6ATWHIm0cmSaphVFp67G0f+HXcTcSWHeM61oVau8rUMCdAKxmm6VAgmzS+XMv3/lWLZ9vYrUqejKjK16ehNN0+4WfOEW/X/YSYrBwIIxrfCvWsbWIaXTCcRKOjcbhyjFuuCZOZa1sxPGtK1FaGQMO09fL4DoNE0rCraejGLIzN24uTiy9Lk2+FQpbeuQ7qITiJVUrORLoJRg3c2QbNdLT9MrwJMKrs78uFUPLNQ0DVYevsTTc/ZRvXwpljzbmurlS9k6pPvoBGJFXT0f5pw9hJ5YlmNZZwd7RgbVYOvJKMIi9fQmmlaczdl5lvELDhFQrSwLxrSiYmkXW4eUKZ1ArKhj4HgclGJtSPbrpacZ2it3kMIAACAASURBVLIaJRzt+WmbXjdd04ojpRRfbTrJ+yuP0dGnEr+OCsS9hOUXgrIUnUCsyN29Gg/ZlWZ97Ols10tPU6akEwNbVGXl4Ytcjk4ogAg1TSssUg2Kd5eHMOXPcAY092b60Ka4OFpvLQ9L0AnEynrU7MpVe2GHGWNCAEYF1STVoJi986x1A9M0rdBITEll3PyDzNtznufa1+bTvn5WX8vDEgp/hEXcI61epWKqYu7x+WaVr1a+JF19qzBvzzniElOsHJ2mabYWl5jCyFn7WHv0Mu929+HNLg0KdEbd/NAJxMocHUsysEIAu7jD6dM5T/MOxoGFsQkpLNynpzfRtAfZNdO8Vnv+vcFXA5owum3Bz6ibHzqBFIB+D72Pk1LM2/elWeWbVC1DYM1y/LJdT2+iaQ+qCzfi6f/DLsKvxjJzeDObToqYVzqBFIBy5erQ3bkyq+5EEH3rrFnHjGlbi4u37rD2qJ7eRNMeNMcvx9B3+k6uxyUyb3RLHmlQydYh5YlOIAVkaPMJJNgJS7f9x6zyjzSoSC2PUszcpqc30bQHyf6zNxjwwy5EYPGzbWhWvZytQ8ozmyUQEekvIsdExCAizbMp10VETojIKRF5K8P2R0XkoIgEi8h2EalTMJHnTf263WmhnJkftZeU5Jxv0bWzE55pW4uQizFsP3WtACLUNM3a/gy7wtCf9lDB1Zmlz7WhfmU3W4eUL7ZsgYQATwBbsyogIvbANKAr0BAYLCINTbunA0OVUv7A78C71g03/4bVG8Ble+Gv3V+YVb5PgBfeZUsweU0YKbovRNOKtMX7LzDmtwPUr+zG4mdb4122pK1DyjebJRClVJhS6kQOxQKBU0qpM0qpJGAB0CutCiBtZjF34JJ1IrWcdoEv45UK807nPLUJgIujPe908+H45Vjm6zuyNK1IUkrxzeaTvL7kCK1rlef3Z1pR3tXZ1mFZRGHvA/ECMn5zRpi2AYwG1opIBPAk8ElmFYjIGBHZLyL7o6KirBpsTuwdnBhSuTUHJYnQ48vNOqaLb2Va1SrHVxtPcCs+59HsmqYVHkkpBl5fcoRvNofTr5k3v4xogauzg63DshirJhAR2SwiIZk8euV8dI4mAN2UUt7ALOCrzAoppWYopZorpZp7eHhY4LT50+eh9ylpUMw7OMWs8iLCxB6NiL6TzDebw60cnaZplhKTkMzI2XtZciCCCR3r8Xk/P5wcCvtv9tyxaipUSnXMZxUXgaoZXnsDF0XEA2iilNpj2r4QWJ/PcxUIt9Je9CpZnSV3zjHh2nEqVGiQ4zENPUszOLAav+0+x5CW1ahXqWh3vGnag+7irTuMnLWXM1G3+aJ/E/o1K3pjPMxR2NPhPqCuiNQUESdgELASuAm4i0g9U7lOQJiNYsy1IS3fIFmExdvNu6UX4NXH6lPKyZ7/rg7Vt/VqWiEWcjGaPtN2EHkrgTmjAh/Y5AG2vY23j6n/ojWwRkQ2mLZ7ishaAKVUCvAisAFjgliklDpm2v4MsFREDmPsA3ndFu8jL2rUaEdbKcXCG0dISow165hypZyY0Kke28KvsTnsqpUj1DQtL/4+cZUBP+7CwU5Y8lwbgupUsHVIViXF6dds8+bN1f79+20dBgA7901jbOgPTK76OD0f+cisY5JTDXT7dhtJqQY2TngYZ4fCPdWzphUnv+85z3srQmhQ2Y1fRrSgUiFdBCovROSAUuq+8XpmtUBE5A8R6S4ihf2SV5HRutlz1EoV5p5ba9aStwCO9nZMfLwh567H88v2s9YNUNM0sxgMik/XH+f/lh3l4boVWDS29QOVPLJjbkL4HhgChIvIJyJS34oxFQtiZ8dQrw6E2aVy6Ohcs49rW9eDjj6V+O6vcK7G6EWnNM2WElNSGb8wmOlbTjOkZTVmDm9OqQfoNt2cmJVAlFKblVJDgabAWWCziOwUkZEiUnjXWyzkerR9j9IGxdwjM3N13LvdfUhKNfDp+pzGYWqaZi234pN48qe9rDp8ibe6NmByb98isQiUJZn9bkWkPDAC4wC+Q8C3GBOKeYtcaPcpWbICfUvX46/Um0ReOmD2cTUqlGLUQzVZejCC4Au3rBihpmmZOX89niem7yT4wi2mDA7g2Xa1i8wiUJZkbh/IMmAbUBJ4XCnVUym1UCk1DnC1ZoAPusGt3wFg/q7JuTpu3CN18XBzZtLKYxgMxedGCE2zteALt+jz/Q6uxyUxd3RLejbxtHVINmNuC2SKUqqhUupjpdRdC1Rk1jOvma+KZzMesS/L0piTxMebP+uuq7MDb3SuT/CFWywPvmjFCDVNS7Ph2GUGzdhFSWd7/ni+DYE1i+5U7JZgbgIpKyJP3PN4VEQqWjW6YmKY3zPE2Amrt3+Yq+P6NvWmibc7n6w7zm29frqmWY1Siml/n+LZuQeoX7k0y54PoraHvvhibgJ5GvgJGGp6zATeBHaIyJNWiq3YCGg8DB+DPb9H/GX2Lb1gXDNk4uONuBqbyPdbTlkxQk0rvu4kpfLSgmA+33CCx/08WTimFRUekNl088vcBOII+Cil+iql+mJcm0MBLTEmEi0fxM6OYdW7cdpesevgD7k6tln1svQJ8GLmtn85fz3eShFqWvEUGX2HAT/uYvWRS7zRpT7fDvLHxVEP4E1jbgLxVkpdyfD6KlBVKXUDSLZ8WMVPl6C3KZ+qmBf6W66PfbNLAxzshMlrQ60QmaYVTwfP36Tndzs4ExXHzCeb83z7OsXyTqvsmJtAtojIahF5SkSeAlaYtpUC9H2kFuDk7MaAso3ZquI4d25bro6t7O7CCx3qsOHYFXbo5W81Ld+WHIhg0I+7KeFoz7IXgujYsJKtQyqUzE0gL2Bcc8Pf9PgVeEEpdVsp1cFawRU3Ax6aiINS/L7n01wf+/RDNfEuW4L/rArVy99qWh6lGhST14Ty2uLDNKtelhUvBOnlE7KRYwIxrUv+l1JqqVJqgumxRBWnWRgLSAUPH7o5VWT57bPExuTu1lwXR3ve7e7DiSux/L73vJUi1LQHV/SdZEbN3sfMbf/yVOvq/Pp0IGVLOdk6rEItxwSilEoFDCLiXgDxFHtDm75EvJ2wbPsHuT62c6PKtK5Vni83nuTmbb38raaZ63RUHH2m7WDHqWt81KcxH/TyxbGYTUuSF+Z+QnHAURH5WUSmpD2sGVhx1bBBb5oqJ36/vIvUlNwlARHh/Z4NiU1I5pvNJ60UoaY9WP45GUXvaTu4dSeZeaNbMqRlNVuHVGSYm0D+AN4DtgIHMjw0Kxhauw8X7eGfvd/k+tgGlUsztGV15u45z4nL5i1WpWnFkVKKn7adYeSsvXiVKcGKF4JoWau8rcMqUsydjXcOsAjYrZSak/awbmjF1yOtXqNKqmLeyUV5Ov6VTvVwdXbgg1XH9PK3mpaJxJRUXl9yhA/XhNGpYSWWPteGquVK2jqsIsfcyRQfB4KB9abX/iKy0pqBFWcOji4M8ghkryRyInxNro8vW8qJVzrVY+fp66wPuWyFCDWt6Loam8DgGbtZciCClx6ty/ShzYrVGh6WZO4lrElAIKYxH0qpYKCWlWLSgL5tJ+JiUPy+P/eXsQCGtqyGT5XS/N+yo1y6dcfC0Wla0XTg3E16fbeD0MgYpg1pyiud6mFnpwcH5pW5CSRZKRV9zzY92MCK3MvU4PES3qxJiOTmjdO5Pt7B3o5pQwJISjHw4u8HSdZjQ7RiTCnFL9v/ZeCPu7C3E5Y824buflVsHVaRZ24COSYiQwB7EakrIlOBnVaMSwOGtXydJIHZf7+Rp+NrebjyaT8/Dp6/xafrjls4Ok0rGmITknl+3kH+szqU9vUrsmZcW3y99KgESzA3gYwDGgGJwHwgBnjZWkFpRrVqPkp3Rw/mxZzgcuShPNXRw8+Tp1pX56ft/+r+EK3YCYuMoed3O9gYeoW3uzZg5vBmuJfUq3Bbirl3YcUrpd5RSrVQSjU3PU+wdnAajOvwOQaB7/5+Pc91/F93H/y83Xl9yWE9Y69WbCzaf4He03ZwOzGF30e3ZGwxXXbWmsy9C6ueiMwQkY0i8lfaw9rBaeDp2ZyhrnVZmXSZk6fW5akOZwd7pg1pigDP/36AhORUywapaYVIQnIqbyw5zBtLjtC0WlnWvNRWj++wEnMvYS0GDgHvAq9neGgFYHSnb3FT8PWO3E9vkqZquZJ8OcCfkIsxfLhGT/uuPZj+vXab3tN2sGh/BC92qMPc0S3xcNOLP1mLuQkkRSk1XSm1Vyl1IO1h1ci0dO7u1XjGoxXbuc3uAz/muZ5ODSsx9uFazN19nhV6HXXtAbPuaCSPT93O5ZgEZo1swWud62Ovb9G1KnMTyCoReV5EqohIubSHVSPT7jK445dUSVV8dWQ6htS8r3/+Wuf6NK9elrf/OMqpq3EWjFDTbCMpxcB/VoXy3LyD1K7oypqX2tKhfkVbh1UsmJtAnsJ4yWon/5sHa7+1gtLu5+zizriavQmzS2X99v/muR5HezumDgnAxdGe5+cd4E6S7g/Riq5Lt+4waMYuftnxLyPa1GDx2NZ4lSlh67CKDXPvwqqZyUOPRC9g3R+eRAODHVNO/0FSYt4nSqziXoJvBvoTfjWO91aEWDBCTSs4/5yMovuUbZy4HMt3QwKY1LMRTg56CvaClO2nLSJvZHje/559H1krKC1zdvYOTGg8lov2sODPV/NV18P1PBj3SF2WHIhg0b4LFopQ06wv1aD4atNJRszaS0U3F1aOe4gefp62DqtYyildD8rw/O179nWxcCyaGdo0f542lGDGlZ3EROfvi3/8o3UJqlOe91aEEBYZY6EINc16LtyIZ+CPu5jyZzhPBHiz/IUganu42jqsYiunBCJZPM/stVZAJrR6lxiBnzfnbzIAezvhm4EBuJdw5Pl5B4lNSLZQhJpmWUopFu2/QJdvtnLicixfDWjCF/39KOFkb+vQirWcEojK4nlmr7UC0qB+Tx53qsjc2BNEXsrf3dQebs5MHRzAueu3efuPo3r9EK3QuR6XyLNzD/DGkiP4ermz7uW2PNHUW48qLwRySiBNRCRGRGIBP9PztNeN83pSEekvIsdExCAizbMp94uIXBWRkHu2lxORTSISbvpv2bzGUlS92P5zAL7bkreJFjNqWas8r3Wuz+ojkfy2+1y+69M0S/nr+BU6f7ONv49H8X/dGvD7M63wLqsXfiossk0gSil7pVRppZSbUsrB9DztdX5mJAsBnsC4RG52ZpN5X8tbwJ9KqbrAn6bXxUoVz2YMda3LqqQrnDi5Ot/1PftwbR5pUJH/rg7l8IVbFohQ0/IuPimFd5YdZdTs/VRwdWLFi0GMebi2HhhYyNjknjelVJhS6oQZ5bYCNzLZ1QtIW1J3DtDbguEVGU+nTXGyK+/jQtLY2Qlf9m9CRTcXXvj9INHxuj9Es41D52/Sfcp2ft97njEP12L5C0H4VClt67C0TBTVm6YrKaUiTc8vA5WyKigiY0Rkv4jsj4qKKpjoCoi7ezXGVGzDDuLZdeCHfNdXtpQT3w0J4EpMAq8uPqz7Q7QClZxq4OtNJ+n3wy6SUgz8ProV/9fNBxdH3VFeWFktgYjIZhEJyeTRy5LnUcZvuSy/6ZRSM0xT0Df38PCw5KkLhcEdv8QzFb4+8kO+pjhJE1CtLG939WFz2BWm/5P7lRA1LS9OR8XRb/pOvv0znF5NPFn3clta19Yz6FpCTPQFPln0OHGxkTkXziWrJRClVEellG8mjxUWqP6KiFQBMP33qgXqLJKcnN0YV8s4xcnabXmfrTejkUE16OFXhc/Wn+Dn7f9apE5Ny4xSit92n6P7lG2cvR7PtCFN+WqgP6Vd9KJPlnDg8Bz6Le3Kwvh/2X/sd4vXX1QvYa3EOD8Xpv9aIikVWd3avo+PwZ6pZ5bna4qTNCLCVwP86epbmf+uDuX7LacsEKWm3e1qTAIjZ+/jveUhtKhRjg0vP6zXKbeQ5OR4pi4byKhDn+OI8Fvg+7Rvlb/ZKzJjkwQiIn1EJAJoDawRkQ2m7Z4isjZDufnALqC+iESIyNOmXZ8AnUQkHOhoel1s2dk78Irfc1yyh/mbLfOPxMnBjqmDA+jl78ln60/w9aaTuk9EswilFCuCL9L5m63sOn2dD3o24tdRgVR2d7F1aA+ECxd2MWLuQ8yICeVxp8osGrAJ34b9cz4wD6Q4fSk0b95c7d//4E4i/Oyclhw13GbtE2txd69mkTpTDYq3lh5h8YEInm1Xmze71NcDuLQ8O3vtNu+tCGFb+DX8vN35akAT6lR0s3VYDwRlMLD6n/eYfHYFdsDE2gPo8vBEi9QtIgeUUveN2XOwSO1aoTCh9Xv03/kWP28azyv9llmkTns74dO+fjg52PHDP6dJTEllYo+GOolouZKYksqMf84w9e9TONnbMenxhjzZuoYe12EhsTEX+e/KIaxLvUFTceaTx2ZQxbOZ1c+rE8gDpH69Hjy+/2vmxYUz+NIBi/0DsrMTPuzti7ODPb/s+JekFAP/7eWLnf6fXzPD7jPXeWfZUU5H3aZ74yq816OhvlxlQYeOzOWt/Z9yxU7xYtkARnf/GXsHpwI5t04gD5hxHb5g/YYn+W7L60we8pfF6hUR3uvhg7OjHdO3nCYxxcCnff30L0gtSzduJzF5TRhLD0bgXbYEs0a0oEMDvVKgpaQkJzBj9Uh+jD6KJ8Kc5u/SxHdQzgdakE4gD5jKVQIY6laP2bEnefLEShrU72mxukWENzrXx8XBnq83nyQpxcBXA5rgYF9Ub+bTrMFgUCw5EMFH68KIS0jh+fa1GfdIXT1zrgVFROzm7c3PEyzJ9HSqyNuPz8PVreDvYNMJ5AE0uuO3/PFHV77e/SE/WjCBgDGJjO9YFycHOz5df5ykFANTBgfoleA0AE5eieXdZSHsPXuDFjXKMrlPY+pV0p3klrR6y3tM/tfYx/lpzb50a2eZ8V95oRPIA6i0e1XGVGrD51G72Ln/e9o0f97i53iufW2cHez4z+pQnp17gO+HNtVTThRjd5JSmfpXODO2nsHVxYHP+vrRr5m37iezoLjYSCavHMLqlGsEiDMfd5qOl1egTWPSt/E+oJISY+k9rw0KWDJgE6VcK1vlPHN3n+Pd5SG0rVuBGU8215cpiqG/T1xl4ooQLty4Q9+m3vxftwaUd3W2dVgPlOCj83hr3ydctlOMLdOEZ7r/jINjwd2IkNVtvPq6wwPKydmNyc3f5JKd4tNVw6x2nmGtqvN5Pz+2n7rGyNl7uZ2Y//m4tKLhSkwCL8w7yMhZ+3Cyt2P+M634ckATnTwsKCkxlm+W9uOpAx8DMLvZ2zzXe16BJo/s6ATyAAvwG8bTpX1YlnSFP3d+arXz9G9elW8G+rPv7E2G/7KXGL007gMt+k4yn60/TrvP/2ZT2BVe7VSPteP15IeWdiJ8DYN/f4if407Qx9mTpQM24d94qK3Duou+hPWAS068zdDfg4gkhT+6L8SjYiOrnWt9SCTj5h/Cp0ppfh0VSJmSBXMvulYw7iSlMnvnWaZvOUVsYgo9m3jyaqf6VCuvVwi0pNSUJOase5bvru+ltAE+aDiKdq1esWlMWV3C0gmkGDjz758M2DKeFnaufP/kTsTOeg3PP8Ou8Nzcg9SsUIopgwOoX1nfgVPUJacaWLjvAlP+DOdqbCKPNKjIa4/Vp6GnXuTJ0i5c2ME7f77EIUmio50773WfTblydWwdlu4DKc5q1XyUV6q0Yzu3WbhxvFXP9ahPJWaNbMG1uEQen7qdaX+fIiXVYNVzatZhMBgnPez41T+8uzyEauVKsvjZ1vwyooVOHhamDAYWb5xA381jOaUS+ahaL74aurVQJI/s6BZIMaEMBp77rTUHDLdZ1OE7atZob9Xz3bidxMQVIaw+Eomftztf9G+ixwMUEUoptpyM4rP1JwiLjKFBZTfe6FKfDvUr6jnQrCDq6jHeX/8029RtWuLCh4/NoHKVAFuHdRd9CYvinUAArl4J4Ym1g/DGgd+G7cTR0frXrtcejeS95SHEJqQwvmNdxj5cS49cL8T2n73BZ+tPsPfsDaqVK8mrj9XjcT9PPZ7DSjZs+y//PbWQBGBC5bYMfmwqdvaFb3ieTiDoBAKwefvHTDj9O2NKN2Rcn4UFcs7rcYlMXHGMNUcjaWJqjdTVrZFCJSwyhi82nODP41fxcHPmpUfrMrB5VT3DgJVER5/n49VPsSblGo0M9nzU/itq1XzE1mFlSScQdAJJ8+7vHVmVdJk5zd4u0NsC1xyJ5L0VIcQlpPByp7qMaatbI7Z2/no8X28+yfLgi7g6O/Bsu9qMDKpBSafC9yv4QbFz//e8d+R7rtvB2DJ+jO7+U4FcDcgPnUDQCSRNXGwk/RY/hmDdUeqZuRaXyMQVIaw9elm3RmxEKcWuM9eZs/Msm0Kv4Ghvx8igmjzbrpa+9dqK7sTf4OtVTzI/4Tw1U4WPW79PI5++tg7LLDqBoBNIRgcP/8rIQ5/R27kKHwzeVODnX33kEhNXHCMuIYUJnerxTNuaujViZfFJKSw7dJFfd57jxJVYypZ0ZFBgNUa0qUGl0oVjZPODan/wbN4/+CXn7WFYyZqM7zEHlxJlbR2W2XQCQSeQe327tB8/xZ3gm7rDeLTNmwV+/mtxiby3PIR1IZdpUrUMX/b308ubWsH56/H8uussi/ZfICYhhYZVSjOiTQ16+nvqCTCt7HbcZb5eM4qFCRfwSoX/BIwnMGC0rcPKNZ1A0AnkXmmj1C+Twh89FlPBw6fAY1BKsfpIJBNXhHA7KZVXOtXjmba19EJV+aSUYlv4NebsPMtfJ65iJ0IX38qMaFOD5tXL6ttxC8DOfdOYdHQ6l+1gaMmajOsxi5IlK9g6rDzRCQSdQDJTkKPUsxMVa2yNrD9mbI2M61CHDg0q6kSSS3GJKSw9EMGcXWc5E3WbCq5ODA6sxtCW1fUysgUkJvoCX6wdybKkK9RIFf7b4s1CN4dVbukEgk4gWZm37nk+ubqNdyt3YGDnKTaLQynFqiORfLg6lKuxiXiVKcGQltUY0LwqHm56htfsnImK49dd51hyIIK4xBSaeLvzVJsadPergrODvkxVUP7e9QUfhs3muh2McGvAc91/xtnF3dZh5ZtOIOgEkhVDagrPzw0qsFHqOUlONbAp9Apzd59j5+nrONoLnRtVZlir6rSsWU5ffjGJik3kr+NXWH0kkm3h13C0F7o3rsJTbWoQUK3odNA+CG7eOM0n655mbcp16hrs+G+riUXmDitz6ASCTiDZscUodXOcjopj3u7zLDlg7ACuW9GVoS2r8UQzb0q7ONo6vAKllCL8ahybQq+wOewKwRduoRR4lSlB/+beDGlZjYpu+jJVQVIGAxt3TOajUwuJERhTxo/RXWfi6FzK1qFZlE4g6ASSk03bP+KV0/MZW7oRL/ZZYOtw7nInKZVVRy4xb/c5DkdEU8LRnt4BngxtWR1fr6J/iSAryakG9p29webQq2wOu8L5G/EA+Hm709GnEh19KuFTxU23ymzgWlQYH64fzZ+GGBoZ7PlP24+pV6errcOyCp1A0AnEHO/8/iirk64wp/n/4e87xNbhZOpIxC3m7j7HysOXSEg24F+1DMNaVaeHX5UH4rbUmIRk/jkRxeawK/x9/CoxCSk4OdgRVLs8HRtW4tEGlXSHuA0pg4FVW97l03MrSRB4oXwgw7t8X2hWCbQGnUDQCcQcthylnlvR8cksPRjB3D3nOBN1mzIlHenX1Jt29T1oWKV0kVpa9cKNeP4Mu8LmsKvsPnOdFIOiXCknHmlQkY4+lWhbtwKlnPX0IrZ2OfIQH2x8ju3cxl858p/2X9m8z7Ag6ASCTiDmOnB4DiMPfU4Px4pMHrzZZrf2mittao55u8+z4dhlUgzGf9OVS7vQ0LM0jTxL07BKaRp5ulO1XAmbXe5RSnEtLonwq7GcuhpH+JW49OfX4pIAqOVRik4+lejYsBJNq5XVtzEXEinJCczfNJ7vruxAAeMrt2VQp2+xdygeU7/oBIJOILkxffkQvo8+ymjX+ozvu8TW4ZgtOj6ZkEvRhF6K4dilaEIjYzh1NQ5TTsHN2QGf9IRSmoaepalb0c2is84qpbgam5ieIMKvxnHK9Pxm/P/Wi3dzdqBuJVfqVnSjfmU32tX3oLaHq8Xi0CzjyLGF/HfvRxy3M/AQpfi/R76matXWtg6rQOkEgk4guaEMBv6zqCtLEi/xWoXWPNV9hq1DyrOE5FROXI7l2KUYQiOjOXYphuORsdxJTgXA0V6oW9GNRp6lqZDJeJPM/hdR3L/x1u3k9IQRm5CSvt29hCP1KrlSp6IbdSu6UreSK/UquVHRzVl3fhdi0dHnmbJuDIsTIvAwwFv1htCxzVuFvkVuDTqBoBNIbqWmJPH6/EfZZLjFh1W70+uRT2wdksWkGhT/XrtNaKSppXIphrDIGGLupNxfOIvv+Hs3u7k4UKeisUVRt5Jr+vMKrk46URQhymBg9T8T+eLscqIFhpSqzQtdfyzU/YHWphMIOoHkRVJiLC8seJR9Kp6v64+gQ+vXbB2SplnNmX//YvI/b7BXEvEzOPBemw9oUL+nrcOyuawSSPFri2m54uTsxrd9V9NQOfLaidnsC/7F1iFpmsUl3LnJlD8G0PeflwhTCbxX5VF+G75PJ48c2CSBiEh/ETkmIgYRuS+rZSj3i4hcFZGQe7Z/LiLHReSIiCwTkTLWj7r4KulakWm9luBtsOOlQ18RdmKFrUPSNIvZuudbes9/mJmxYXR1rMiqx/9gwGPfFMq1yQsbW7VAQoAngK05lJsNdMlk+ybAVynlB5wE3rZodNp9yparzY/dfsVNwbM73+HcuW22DknT8uXy5WBe+e0hXjj+E04IP/uN56Ohf1G+Qj1bh1Zk2CSBKKXClFInzCi3FbiRyfaNSqm03s7dPqhVdAAAE4VJREFUgLeFQ9QyUbmyPz8+8h0KGPvn81y9EpLjMZpW2KQkJ/Dr2jH0WjeMrSm3eKlsAEuH7iqSCz3Z2oPQBzIKWJfVThEZIyL7RWR/VFRUAYb1YKpZoz3TW33ATVGMXTuU6FtnbR2SppltX/AvDJrbks+jdtHUzpVlHWfyTM9fH7jJDwuK1RKIiGwWkZBMHr0seI53gBRgXlZllFIzlFLNlVLNPTw8LHXqYq2RT1+mNHmJc5LKC8ueID7+mq1D0rRsnT+/nZd/C2LU4a+JVql8WWsg3z+5s9gNCLQ0q/USKaU6WqtuABEZAfQAHlXF6V7kQqJl0zF8Fn+dV0/N45XF3Zk66C/9K04rdGKiLzBj4zjm3T6Fo4Jx5QMY3mkKLiX0eimWUCQvYYlIF+ANoKdSKt7W8RRXHR96m/e9u7CDeN5Z3A1DaiaD8DTNBlKSE1iwfhw9/ujKr7dP8bhzZdZ0X8iYnr/p5GFBtrqNt4+IRACtgTUissG03VNE1mYoNx/YBdQXkQgRedq06zvADdgkIsEi8kMBvwXN5ImOXzChXAvWpd7g4yU9UQaDrUPSirkd+76j32+BTL6yhTriwsLWk/nP4M14VGxk69AeOHok+v+3d+fhUZTZHse/pxO2sCQQQEAgYXMAFRFlcQNEYFRmBBFRVATXuerFXee6jMzl+ojKXPXq4IKOGwqoqFdUVEBBFCEBA4QgoBHDDolsAwFi0nXmjyqcJibQNJ1UOn0+z9NP3nRVV5+3u9O/VFX3+5qo+N/pF/NqYS43J5/MTUOm+F2OiUNrf/qcCfMf4GsKaRWEuzpeRb9e98Tl2FXRVt430e2bMiYq7hz6LrumDeTZ3StI/vQWrjh/ot8lmTixc8ePPDt7DO/sX0+Swt1Nz2BE/yeoWau+36VVexYgJiokEGDspR+xe+p5jN82n+R5DzGo7zi/yzLVWHFRIVPm3MEL+d+wT2BYndbcPOBpGjVq73dpccP27UzUJNaozYThMzlda3F/3nu88tF1dk7ERJ06Dl988zhD3uzF335eSJdAXaaf8wQPXjbTwqOSWYCYqKpVO5mJw2bSP7EhT2zP5O4pfdi3N9/vskw1oI7Dwm+fZ+Rrp3PbD5NJRHiu0408PyqD9u0G+l1eXLIAMVGXVK8pf7viS+5M7cGckp1c8XZ/GzvLHJPFS//B6Ne7c2PORLbpLzzUvD/vjszk7B5j/C4trtmnsEyFWvjt89yb/XdKgEc7XUufXnf6XZKJIVnLX2fi0qfJlCKaBpXrW/TlknPH2wnySmYTSmEB4pdNmzK5Y9aNrAoEuanBSfzHRZNtqGxzWMtzpvHst0/wDftJDSrXNz+bYX3H25cAfWIBggWInw7s38n/vD+MGcX59JF6PDL4bRokt/K7LFPFrFz1LhMXT+ArLaSho1zX9AyGn/sYdZIa+V1aXLMAwQLEb+o4TJt1K49vnUcLR3iq9wQ6tC9ruhcTb1avmcHEjEeZp3tIdpTRjU/ninMfJ6leU79LM1iAABYgVUXW8te569vHKRQY12445/d+yO+SjE9+yP2U5xY+zGxnN/UdZVSjU7my3+PUq9/c79JMCAsQLECqkvxtOdz1ydUsk2KuqdueWwdPJbFGbb/LMpXk+9xPeHHReD4r2UFdhZEpJ3NVv8ftsGYVZQGCBUhVU1xUyGPvD+Otoo30pDYT/jiNho3a+V2WqSBOsISvFj/N5DVTyeAAdRzlquROjOo3geSUdL/LM4dhAYIFSFX1/uf38vCGmaQ68OSZ4zix41C/SzJRtG9vPh98PY43N3/JugRoGlSuaNKdYeeMteCIERYgWIBUZStXvcvtC8eyIwB/aTWIweeOt1FUY9zWLUuZsmAc0/f8wJ6AcLKTyMi2g+l/5r3UqJHkd3nmKFiAYAFS1e3Ykcu9H44ggwP0pDZ39LzP9kZi0PKcabyx7Flml+xAgf6JDRnZ9SZO6Xy5/VMQoyxAsACJBSXFB3hrzh28sPUrdgaECxIaMabPI7RqdZbfpZnDKCk+wJyFjzH5xw/IDhRT31Euqd+BEWc+QIsWv3nfMTHGAgQLkFiyd88WXplzO5N3raRYYHhSOjf2e4LUxif4XZoJsXv3et6d/1emFmSyNUFoHYQrW/RmyNlj7Tsc1YgFCBYgsaggfyXPfXEX7x3YSC2F0Q1PYVT/J+3NyUdOsISsFW/w0aopzDywmf0BoYfWYmTHEfTufpsNU1MNWYBgARLLfsqbxzNfPchsZzepQeWm4/sxtN+jdjK2EuX+OIuPl03i492r2ZIg1HGUgbWacdVpt9Lxdxf5XZ6pQBYgWIBUB8tzpvHEkglkyS+kBeHWDpcx4Kz77eRsBcnflsMnS/6Pj/IzWR1wSFDlDKnHoLQB9Dt9jO0JxgkLECxAqgt1HOZnPsVT371KboJyspPIHaeOoXvXa/0urVrYu2cLszOf5OONc8nU/ai4H8Ed1KwXv+9+G40bd/S7RFPJLECwAKlugiW/MOPLB5m4bibbEoRzpC63nzmWE9pf4HdpMae4qJCvs57j4x9nMK94B0UBoVUQ/tDwJAZ1u5m0tHP8LtH4yAIEC5Dq6sD+nUz9/G5eLMhgr0APqcOAZmdwXrebaNykk9/lVVnFRYUsW/UWn61+h0/3b2B3QGjoKOcnpTHoxJF06TzcDg0awAIEsACp7nbvyuONuffx6c4c8hJAVDmVWgw4rjv9u/6JZs1P9btEXznBEtbkfkzGDx+yaPsKspxC9geE2o5ybo1U/tBhKGd0u8E+mGB+wwIEC5B4oY5D7tpZzMl5nVk7V5IbcADo4iQyoMlp9O96PS1b9vK5yoqnjsP6DQvIWD2dRflZLC7Zya6AANAmKPSs25JeLXvT65TR1K3XzOdqTVVmAYIFSLzKy/uSOdkvM2v7clYFggB0chIYkNqF/l2upU16X38LjKL8bTlkfDeNjC2LyDiwla0JbmA0Cyo9azejZ/Oe9Oh8Gccd18XnSk0ssQDBAsTAxo2LmLPsJWYXZJEdKAagvRNgQEpnBpw8ivZtB8bMcf/iokI2bM7gx02LWLxpARmFG1ib4P49JztKj8SG9GrajZ4dh9G61Vkx0y9T9ViAYAFiDrV16zI+X/oCs7ctJosDqAjJjpJGDVrVTCGtbnNapbSjdZOTSDu+py9DjzvBErZuW0be5kzW/fwd6/+5jrz9BawLFrIpoDji7mHUcZRugbr0Sj2Znh3+yO/aD7JvhJuosQDBAsSU7+eCVcxdOonVO1axvmgH64P72RJQ1HuDBmjgKK2pQeuaybROak5rL1xat+hOSkqbo/oPXx2HYPAXHKeYkmAR+/b9zIbNS8gryGbdrrWs27eVvJI9bCBIUeDfNdRxlHQSSavRgLS6LUhLaU9601Po2P5CatSqG9XHxJiDLECwADFH55eiPWzcnMn6bctYt30NG/ZsYF3RdjYE97O5VLjUd5RUDeCgBIESFAcICpSA2wZKxGuH3La0RFVaOQHSEuuRnnQcrRukk97kJNJa9KRJk852KMpUuvICxPZxjSlHzVr1advmPNq2Oe83y9xwWcz6bUtZv2MN6/+5gZ0le0kgQKIkkCCBkEvCv38GDrYTD2nXSqxN69SOpDc/jebNTrP54U1MsAAxJgJuuPSjbZt+fpdijG9sX9gYY0xEfAkQEblURFaKiCMi5U5XJiIvi0i+iOSUs/wuEVERaVxx1RpjjCmLX3sgOcBQYP4R1nsVOL+sBSLSChgIrI9qZcYYY8LiS4Co6ipVXRPGevOBHeUsfhK4F4ifj5EZY0wVEpPnQERkMLBJVZeHse6NIrJERJYUFBRUQnXGGBMfKuxTWCIyByhrhLYHVPWDY9huEnA/7uGrI1LVScAkcL8HEun9GmOMOVSFBYiq9q+gTbcD2gDLxf0yVksgS0R6qOrWCrpPY4wxpcTc90BUdQXw60TMIpIHnK6qP/tWlDHGxCFfhjIRkYuBZ4AmwC5gmar+XkRaAC+p6oXeelOBvkBjYBswVlX/UWpbeYQZICJSAKyLsOzGQLyFlPU5Plif48Ox9DlNVZuUvjKuxsI6FiKypKyxYKoz63N8sD7Hh4roc0x+CssYY4z/LECMMcZExAIkfJP8LsAH1uf4YH2OD1Hvs50DMcYYExHbAzHGGBMRCxBjjDERsQApRUTOF5E1IpIrIv9VxvLRIlIgIsu8y/V+1BlNR+qzt85wEfnOG4Z/SmXXGG1hPM9PhjzH34vILj/qjKYw+txaROaKyFIRyRaRC/2oM1rC6G+aiHzu9XWeiLT0o85oCmMKDBGRp73HJFtEuh3THaqqXbwLkAD8CLQFagLLgc6l1hkN/N3vWiu5zx2ApUBD7/emftdd0X0utf4Y4GW/666E53kScJPX7gzk+V13Bff3HWCU1+4HTPa77ij0uzfQDcgpZ/mFwCeAAL2AjGO5P9sDOVQPIFdV16rqL8A0YLDPNVW0cPp8AzBRVXcCqGp+JdcYbUf7PI8AplZKZRUnnD4r0MBrJwObK7G+aAunv52BL7z23DKWxxw9/BQY4PbxdXUtAlJEpHmk92cBcqjjgQ0hv2/0rivtEm/3b7o3sVUsC6fPJwAniMgCEVkkImVO8hVDwn2eEZE03ME7vyhreQwJp89/Ba4SkY3ATNw9r1gVTn+X405sB3AxUF9EUiuhNj+F/doPhwXI0fsQSFfVLsBs4DWf66kMibiHsfri/jf+ooik+FpR5bkcmK6qQb8LqQQjgFdVtSXuoY7JIlKd3yPuBvqIyFKgD7AJiIfnOWqq84sjEpuA0D2Klt51v1LV7apa5P36EnBaJdVWUY7YZ9z/UmaoarGq/gR8jxsosSqcPh90ObF/+ArC6/N1wNsAqroQqI07AF8sCudvebOqDlXVU4EHvOti/sMSR3A0r/0jsgA51GKgg4i0EZGauG8eM0JXKHW88CJgVSXWVxGO2Gfg/3H3PhCRxriHtNZWZpFRFk6fEZGOQENgYSXXVxHC6fN64DwAEemEGyCxOo1nOH/LjUP2sO4DXq7kGv0wA7ja+zRWL2C3qm6JdGMxNx9IRVLVEhH5T+Az3E9xvKyqK0VkHLBEVWcAt4rIRUAJ7smq0b4VHAVh9vkzYKCIfIe7i3+Pqm73r+pjE2afwX3Tmabex1diWZh9vgv38OQduCfUR8dq38Psb19gvIgoMB+4xbeCoyR0CgzvXNZYoAaAqj6Pe27rQiAX2Adcc0z3F6OvD2OMMT6zQ1jGGGMiYgFijDEmIhYgxhhjImIBYowxJiIWIMYYYyJiAWJimojsDWOd20UkKYr3OUREOkdxe98cw233ej9biMj0w6yXIiI3R3o/xpTFAsTEg9uBowoQEUk4zOIhuAPxRYWqnhmFbWxW1WGHWSUFsAAxUWUBYqoFEenrzekwXURWi8ib3rdtbwVaAHNFZK637kARWSgiWSLyjojU867PE5HHRCQLuFREbhCRxSKyXETeFZEkETkTdwSCCd5cIe1EpKs3yGS2iLwvIg297c0Td16RJSKySkS6i8h7IvKDiDwcUvvekPafRWSFd5+PltHPNl7tK0ptI/3gHBAicqKIZHr1ZYtIB+BRoJ133QQRqSfuXBhZ3rYGh2xnlYi8KO7cL7NEpI63rL2IzPFqyxKRdt7193iPU7aI/HdUn1hTtfk9fr1d7HIsF2Cv97MvsBt3bJ8A7vAjZ3vL8oDGXrsx7reO63q//xl4KGS9e0O2nRrSfhgY47VfBYaFLMsG+njtccBTXnse8JjXvg13ePTmQC3c8cVSS/XhAuAbIMn7vVEZ/Z0BXO21bwm5bTreHBDAM8CVXrsmUCd0uXd9ItAg5DHJxZ0jIh13lIWu3rK3gau8dgZwsdeujbtXNxB3HhHxHvePgN5+vy7sUjkXG8rEVCeZqroRQESW4b4Zfl1qnV64h58WiAi4b7ChY129FdI+yfsvPwWohzssxiFEJBlIUdUvvatew52o6KCDw6KsAFaqN+6QiKzFHdQudEiY/sArqroPQFXLmtfhLOASrz0ZeKyMdRYCD4g7w957qvqD19dDSgceEZHegIM7pPdx3rKfVHWZ1/4WSBeR+sDxqvq+V9sBrx8DcUNkqbd+PdyBNueXUZepZixATHVSFNIOUvbrW4DZqjqinG0UhrRfBYao6nIRGY03oGSENTml6nPKqS8chx1/SFWniEgGMAiYKSJ/4reDX14JNAFOU9ViEcnD3asIrRncx7HOYe5OgPGq+sJR1G+qCTsHYuLBHqC+114EnCUi7QFEpK6InFDO7eoDW0SkBu4b7m+2p6q7gZ0ico63bCTwJZGZDVxz8BNjItKojHUW4A7ySKmafiUibYG1qvo08AHQhUMfA3BnHMz3wuNcIO1whanqHmCjiAzx7qOWV+dnwLUh55GOF5GmYfXWxDwLEBMPJgGfishcVS3AHUF5qohk4x7u6VjO7f6Ce9x/AbA65PppwD0istQ7kTwK96R6NtAV9zzIUVPVT3EPeS3xDsHdXcZqtwG3iMgKyp9JbjiQ423jJNwpTLfjHrbLEZEJwJvA6d52ri7Vv/KMxB2NOhv3XE0zVZ0FTAEWetuazqFBZaoxG43XGGNMRGwPxBhjTEQsQIwxxkTEAsQYY0xELECMMcZExALEGGNMRCxAjDHGRMQCxBhjTET+BZ9DmhZKPi9VAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
@@ -146,7 +142,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -162,7 +158,7 @@
"pylab.plot(distances, np.subtract(energies[0], energies[1]), label='VQE')\n",
"pylab.xlabel('Interatomic distance')\n",
"pylab.ylabel('Energy')\n",
- "pylab.title('Energy difference from ExactEigensolver')\n",
+ "pylab.title('Energy difference from NumPyMinimumEigensolver')\n",
"pylab.legend(loc='upper left');"
]
},
@@ -173,7 +169,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -191,13 +187,6 @@
"pylab.title('VQE number of evaluations')\n",
"pylab.legend(loc='upper left');"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
diff --git a/chemistry/h2_var_forms.ipynb b/chemistry/h2_var_forms.ipynb
index 214b657..d43af45 100644
--- a/chemistry/h2_var_forms.ipynb
+++ b/chemistry/h2_var_forms.ipynb
@@ -6,7 +6,7 @@
"source": [
"## _*H2 energy with various RY and RYRZ variational forms*_\n",
"\n",
- "This notebook demonstrates using Qiskit Chemistry to plot graphs of the ground state energy of the Hydrogen (H2) molecule using VQE with different variation form configurations. The results are compared to the same energy as computed by the ExactEigensolver \n",
+ "This notebook demonstrates using Qiskit Chemistry to plot graphs of the ground state energy of the Hydrogen (H2) molecule using VQE with different variation form configurations. The results are compared to the same energy as computed by the NumPyMinimumEigensolver \n",
"\n",
"This notebook has been written to use the PYSCF chemistry driver."
]
@@ -20,8 +20,6 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Couldn't find cython int routine\n",
- "Couldn't find cython int routine\n",
"Hartree-Fock energy: -1.1173432691225826\n",
"FCI energy: -1.1372213770723036\n"
]
@@ -31,15 +29,15 @@
"import numpy as np\n",
"import pylab\n",
"from qiskit import BasicAer\n",
+ "from qiskit.circuit.library import TwoLocal\n",
"from qiskit.aqua import aqua_globals, QuantumInstance\n",
- "from qiskit.aqua.algorithms import ExactEigensolver, VQE\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver, VQE\n",
"from qiskit.aqua.components.optimizers import COBYLA\n",
- "from qiskit.aqua.components.variational_forms import RYRZ, RY\n",
"from qiskit.aqua.components.initial_states import Zero\n",
"from qiskit.chemistry.drivers import PySCFDriver\n",
"from qiskit.chemistry.core import Hamiltonian, QubitMappingType\n",
"\n",
- "var_forms = [RYRZ, RY]\n",
+ "var_forms = ['RYRZ', 'RY']\n",
"entanglements = ['full', 'linear']\n",
"depths = [x for x in range(3, 11)]\n",
"\n",
@@ -54,11 +52,11 @@
"qmolecule = driver.run()\n",
"operator = Hamiltonian(qubit_mapping=QubitMappingType.JORDAN_WIGNER, two_qubit_reduction=False)\n",
"qubit_op, aux_ops = operator.run(qmolecule)\n",
- "result = ExactEigensolver(qubit_op).run()\n",
- "lines, result = operator.process_algorithm_result(result)\n",
+ "result = NumPyMinimumEigensolver(qubit_op).run()\n",
+ "result = operator.process_algorithm_result(result)\n",
" \n",
- "hf_energy = result['hf_energy']\n",
- "energy = result['energy']\n",
+ "hf_energy = result.hartree_fock_energy\n",
+ "energy = result.energy\n",
"print('Hartree-Fock energy:', hf_energy)\n",
"print('FCI energy:', energy)"
]
@@ -67,7 +65,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "With a reference FCI energy computed from ExactEigensolver we now compute the ground state energy with VQE and different variational form setups"
+ "With a reference FCI energy computed from NumPyMinimumEigensolver we now compute the ground state energy with VQE and different variational form setups"
]
},
{
@@ -83,20 +81,20 @@
"text": [
"Processing step 7 --- complete\n",
"Depths: [3, 4, 5, 6, 7, 8, 9, 10]\n",
- "Energies: [[[-1.11734327 -1.13722081 -1.13721108 -1.13722132 -1.13722135\n",
- " -1.13722136 -1.13722137 -1.13722137]\n",
- " [-1.13722126 -1.13715666 -1.13710786 -1.13713713 -1.13719082\n",
- " -1.13719931 -1.13721934 -1.13722091]]\n",
+ "Energies: [[[-1.11734327 -1.13714653 -1.13722128 -1.13722133 -1.13722136\n",
+ " -1.13722132 -1.13722137 -1.13722137]\n",
+ " [-1.13721148 -1.1372177 -1.13718438 -1.1369888 -1.13722035\n",
+ " -1.13711864 -1.13703044 -1.13722083]]\n",
"\n",
- " [[-1.13722077 -1.13722071 -1.13722029 -1.13722135 -1.13722135\n",
- " -1.13722136 -1.13722137 -1.13722137]\n",
- " [-1.13722136 -1.13722135 -1.13722125 -1.13722137 -1.13722137\n",
- " -1.13722137 -1.13722138 -1.13722137]]]\n",
- "Num evaluations: [[[ 775. 10000. 10000. 7834. 5025. 2980. 2781. 3441.]\n",
- " [ 8586. 10000. 10000. 10000. 10000. 10000. 10000. 10000.]]\n",
+ " [[-1.13721599 -1.137217 -1.13722137 -1.13722112 -1.13722128\n",
+ " -1.13722136 -1.13722136 -1.13722137]\n",
+ " [-1.13722134 -1.13722134 -1.13722135 -1.13722137 -1.13722137\n",
+ " -1.13722137 -1.13722137 -1.13722137]]]\n",
+ "Num evaluations: [[[ 806. 10000. 7295. 5101. 3070. 5243. 2727. 2782.]\n",
+ " [10000. 10000. 10000. 10000. 10000. 10000. 10000. 10000.]]\n",
"\n",
- " [[ 2913. 4795. 7154. 1033. 943. 1186. 923. 1045.]\n",
- " [ 810. 1484. 2594. 552. 620. 703. 687. 878.]]]\n"
+ " [[ 8795. 7668. 823. 4602. 1868. 1376. 1433. 1087.]\n",
+ " [ 1169. 1003. 1109. 630. 553. 592. 781. 745.]]]\n"
]
}
],
@@ -114,15 +112,16 @@
" qubit_op, aux_ops = operator.run(qmolecule)\n",
" optimizer = COBYLA(maxiter=10000)\n",
" initial_state = Zero(qubit_op.num_qubits)\n",
- " var_form = variational_form_cls(qubit_op.num_qubits, depth=d, entanglement=entanglements[j])\n",
+ " rotation_blocks = ['ry', 'rz'] if var_forms[k] == 'RYRZ'else 'ry'\n",
+ " var_form = TwoLocal(qubit_op.num_qubits, rotation_blocks, 'cz', reps=d, entanglement=entanglements[j])\n",
" algo = VQE(qubit_op, var_form, optimizer)\n",
" result = algo.run(QuantumInstance(BasicAer.get_backend('statevector_simulator'),\n",
" seed_simulator=aqua_globals.random_seed,\n",
" seed_transpiler=aqua_globals.random_seed))\n",
- " lines, result = operator.process_algorithm_result(result)\n",
- "\n",
- " energies[k][j][i] = result['energy']\n",
- " eval_counts[k][j][i] = result['algorithm_retvals']['eval_count']\n",
+ " eval_counts[k][j][i] = result.optimizer_evals\n",
+ " result = operator.process_algorithm_result(result)\n",
+ " energies[k][j][i] = result.energy\n",
+ " \n",
"print(' --- complete')\n",
"\n",
"print('Depths: ', depths)\n",
@@ -137,7 +136,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
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""
]
@@ -151,7 +150,7 @@
"source": [
"for k in range(len(var_forms)):\n",
" for j in range(len(entanglements)):\n",
- " pylab.plot(depths, energies[k][j]-energy, label=var_forms[k].__name__+' + '+entanglements[j])\n",
+ " pylab.plot(depths, energies[k][j]-energy, label=var_forms[k]+' + '+entanglements[j])\n",
"pylab.xlabel('Variational form depth')\n",
"pylab.ylabel('Energy difference')\n",
"pylab.yscale('log')\n",
@@ -173,7 +172,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -187,7 +186,7 @@
"source": [
"for k in range(len(var_forms)):\n",
" for j in range(len(entanglements)):\n",
- " pylab.plot(depths, eval_counts[k][j], '-o', label=var_forms[k].__name__+' + '+entanglements[j])\n",
+ " pylab.plot(depths, eval_counts[k][j], '-o', label=var_forms[k]+' + '+entanglements[j])\n",
"pylab.xlabel('Variational form depth')\n",
"pylab.ylabel('Evaluations')\n",
"pylab.title('VQE number of evaluations')\n",
diff --git a/chemistry/h2_vqe_initial_point.ipynb b/chemistry/h2_vqe_initial_point.ipynb
index 691fdd8..8d2448b 100644
--- a/chemistry/h2_vqe_initial_point.ipynb
+++ b/chemistry/h2_vqe_initial_point.ipynb
@@ -6,7 +6,7 @@
"source": [
"## _*Initializing next computation from prior result*_\n",
"\n",
- "This notebook demonstrates using Qiskit Chemistry to plot graphs of the ground state energy of the Hydrogen (H2) molecule over a range of inter-atomic distances using VQE and RYRZ. It is compared to the same energies as computed by the ExactEigensolver and we also compare using the previous computed optimal solution as the starting initial point for the next distance.\n",
+ "This notebook demonstrates using Qiskit Chemistry to plot graphs of the ground state energy of the Hydrogen (H2) molecule over a range of inter-atomic distances using VQE and TwoLocal. It is compared to the same energies as computed by the NumPyMinimumEigensolver and we also compare using the previous computed optimal solution as the starting initial point for the next distance.\n",
"\n",
"This notebook has been written to use the PYQUANTE chemistry driver. See the PYQUANTE chemistry driver readme if you need to install the external PyQuante2 library that this driver requires."
]
@@ -22,31 +22,29 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Couldn't find cython int routine\n",
- "Couldn't find cython int routine\n",
"Processing step 20 --- complete\n",
"Distances: [0.5 0.525 0.55 0.575 0.6 0.625 0.65 0.675 0.7 0.725 0.75 0.775\n",
" 0.8 0.825 0.85 0.875 0.9 0.925 0.95 0.975 1. ]\n",
- "Energies: [[-1.05515974 -1.07591361 -1.09262988 -1.10591802 -1.11628599 -1.1241609\n",
- " -1.12990476 -1.13382621 -1.13618944 -1.13722136 -1.13711707 -1.13604436\n",
- " -1.13414767 -1.13155121 -1.12836188 -1.12467176 -1.12056028 -1.11609625\n",
- " -1.11133943 -1.10634212 -1.10115034]\n",
- " [-1.05515974 -1.07591361 -1.09262988 -1.10591802 -1.11628599 -1.1241609\n",
- " -1.12990476 -1.13382621 -1.13618944 -1.13722136 -1.13711707 -1.13604436\n",
- " -1.13414767 -1.13155121 -1.12836189 -1.12467175 -1.12056029 -1.11609625\n",
- " -1.11133943 -1.10634212 -1.10115034]\n",
- " [-1.05515975 -1.07591362 -1.09262988 -1.10591802 -1.11628599 -1.1241609\n",
- " -1.12990477 -1.13382621 -1.13618945 -1.13722136 -1.13711707 -1.13604437\n",
- " -1.13414767 -1.13155121 -1.12836189 -1.12467176 -1.12056029 -1.11609625\n",
+ "Energies: [[-1.05515973 -1.07591361 -1.09262987 -1.10591801 -1.11628598 -1.12416089\n",
+ " -1.12990476 -1.1338262 -1.13618944 -1.13722136 -1.13711707 -1.13604436\n",
+ " -1.13414766 -1.1315512 -1.12836188 -1.12467175 -1.12056028 -1.11609624\n",
+ " -1.11133943 -1.10634211 -1.10115033]\n",
+ " [-1.05515974 -1.07591361 -1.09262987 -1.10591801 -1.11628598 -1.12416089\n",
+ " -1.12990476 -1.1338262 -1.13618944 -1.13722135 -1.13711707 -1.13604436\n",
+ " -1.13414767 -1.1315512 -1.12836188 -1.12467175 -1.12056028 -1.11609624\n",
+ " -1.11133942 -1.10634212 -1.10115033]\n",
+ " [-1.05515974 -1.07591361 -1.09262987 -1.10591802 -1.11628599 -1.12416089\n",
+ " -1.12990476 -1.1338262 -1.13618944 -1.13722136 -1.13711707 -1.13604436\n",
+ " -1.13414767 -1.13155121 -1.12836188 -1.12467175 -1.12056028 -1.11609624\n",
" -1.11133943 -1.10634212 -1.10115034]]\n",
- "Hartree-Fock energies: [-1.04299623 -1.0630621 -1.07905071 -1.09157046 -1.10112823 -1.10814997\n",
- " -1.11299653 -1.11597526 -1.11734903 -1.11734326 -1.11615145 -1.11393967\n",
- " -1.11085041 -1.10700581 -1.10251057 -1.09745433 -1.09191405 -1.08595589\n",
- " -1.07963695 -1.07300677 -1.06610866]\n",
- "VQE num evaluations: [[418 368 379 331 398 390 396 387 385 368 420 411 361 433 371 390 368 366\n",
- " 389 352 393]\n",
- " [364 353 338 381 395 386 337 349 381 350 368 354 371 360 364 336 444 324\n",
- " 367 394 391]\n",
+ "Hartree-Fock energies: [-1.04299622 -1.0630621 -1.0790507 -1.09157046 -1.10112822 -1.10814997\n",
+ " -1.11299652 -1.11597525 -1.11734902 -1.11734325 -1.11615145 -1.11393966\n",
+ " -1.1108504 -1.10700581 -1.10251056 -1.09745432 -1.09191405 -1.08595588\n",
+ " -1.07963694 -1.07300677 -1.06610866]\n",
+ "VQE num evaluations: [[366 364 404 408 367 393 395 412 397 350 349 347 365 306 342 408 375 371\n",
+ " 358 346 373]\n",
+ " [318 442 369 371 350 440 375 351 378 381 347 353 347 366 395 406 352 399\n",
+ " 337 478 381]\n",
" [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
" 0 0 0]]\n"
]
@@ -58,17 +56,17 @@
"import copy\n",
"from qiskit import BasicAer\n",
"from qiskit.aqua import aqua_globals, QuantumInstance\n",
- "from qiskit.aqua.algorithms import ExactEigensolver, VQE\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver, VQE\n",
"from qiskit.aqua.components.optimizers import COBYLA\n",
- "from qiskit.aqua.components.variational_forms import RYRZ\n",
+ "from qiskit.circuit.library import TwoLocal\n",
"from qiskit.chemistry.drivers import PyQuanteDriver, BasisType\n",
"from qiskit.chemistry.core import Hamiltonian, QubitMappingType\n",
"\n",
"molecule = 'H .0 .0 -{0}; H .0 .0 {0}'\n",
"algorithms = [{'name': 'VQE'},\n",
" {'name': 'VQE'},\n",
- " {'name': 'ExactEigensolver'}]\n",
- "titles= ['VQE Random Seed', 'VQE + Initial Point', 'ExactEigensolver']\n",
+ " {'name': 'NumPyMinimumEigensolver'}]\n",
+ "titles= ['VQE Random Seed', 'VQE + Initial Point', 'NumPyMinimumEigensolver']\n",
"\n",
"start = 0.5 # Start distance\n",
"by = 0.5 # How much to increase distance by\n",
@@ -89,23 +87,23 @@
" qmolecule = driver.run()\n",
" operator = Hamiltonian(qubit_mapping=QubitMappingType.PARITY, two_qubit_reduction=True)\n",
" qubit_op, aux_ops = operator.run(qmolecule)\n",
- " if algorithms[j]['name'] == 'ExactEigensolver':\n",
- " result = ExactEigensolver(qubit_op).run()\n",
+ " if algorithms[j]['name'] == 'NumPyMinimumEigensolver':\n",
+ " result = NumPyMinimumEigensolver(qubit_op).run()\n",
" else:\n",
" optimizer = COBYLA(maxiter=10000)\n",
- " var_form = RYRZ(qubit_op.num_qubits, depth=5, entanglement='linear')\n",
+ " var_form = TwoLocal(qubit_op.num_qubits, ['ry', 'rz'], 'cz', reps=5, entanglement='linear')\n",
" algo = VQE(qubit_op, var_form, optimizer)\n",
" result = algo.run(QuantumInstance(BasicAer.get_backend('statevector_simulator'),\n",
" seed_simulator=aqua_globals.random_seed,\n",
" seed_transpiler=aqua_globals.random_seed))\n",
- " \n",
- " lines, result = operator.process_algorithm_result(result)\n",
- " energies[j][i] = result['energy']\n",
- " hf_energies[i] = result['hf_energy']\n",
- " if algorithms[j]['name'] == 'VQE':\n",
- " eval_counts[j][i] = result['algorithm_retvals']['eval_count']\n",
+ " eval_counts[j][i] = result.optimizer_evals\n",
" if j == 1:\n",
- " algorithms[j]['initial_point'] = result['algorithm_retvals']['opt_params'].tolist()\n",
+ " algorithms[j]['initial_point'] = result.optimal_point.tolist()\n",
+ " \n",
+ " result = operator.process_algorithm_result(result)\n",
+ " energies[j][i] = result.energy\n",
+ " hf_energies[i] = result.hartree_fock_energy\n",
+ "\n",
" distances[i] = d\n",
"print(' --- complete')\n",
"\n",
@@ -129,7 +127,7 @@
"outputs": [
{
"data": {
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U1BQfHx/at2/P4MGDSUxM1EvskZGRtG/fXi99FRYREUHPnj3x8fHBw8ODKVOm6KXfOXPmMHfu3Ar3oxJIOTW2tyagmT0bTkRTk+6lURRDGTNmDGvWrLlr2Zo1axgzZgzp6ekMGTKEN998k4iICE6fPs2RI0f48ssvC9oWLrEeEhJC27Zt79tHfq2t0NBQ7O3tWbRokcHfV0XMmDGDmTNnEhISQnh4ONOnTzd2SHdRCaQCgnxduBh/h9PRScYORVEeeCNGjGDbtm1kZWkmbouMjOT69et069aNn3/+uaBqLoC1tTULFy7ks88+K/f+unTpQnS05ghCamoqffr0wc/PD09PTzZt2lQQg4eHB5MnT6Zdu3b079+f9PR0AI4dO4a3tzfe3t53JaKMjAwmTpyIp6cnvr6+/PPPP4BmlDRs2DD69euHm5sbCxcuZN68efj6+tK5c2du3bp1X4wxMTG4uroWvPb09AQoV0n6jz76iNatW/PQQw8RERFR7s+tMFVMsQIe9XTi3U1n2HAiGi9XO2OHoyj68/ubcOO0fvts5AmPfFzsant7ewICAvj9998ZOnQoa9asYdSoUQghOHPmDB06dLirfYsWLUhPTy84DFW4xDrAwYMHi63Qm5uby19//cXTTz8NaKrkbtiwgbp163Lz5k06d+5cUEb+/PnzrF69msWLFzNq1Ch+/fVXnnjiCSZOnMjChQvp3r07r732WkHfixYtQgjB6dOnOXv2LP379+fcuXMAhIaGcuLECTIyMmjZsiWffPIJJ06cYObMmaxcuZKXXnrprjhnzpxJ79696dq1K/3792fixInY2dnxww8/lKkkfe3atVmzZg0hISHk5OTg5+d33+dZHmoEUgG2Vub08WjAlpPXycnNM3Y4ivLAK3wYK//wla7uPYRVVPLIn2+kUaNGxMbG0q9fP0BTofett97Cy8uLvn37Eh0dXTBhVbNmzQrmKOnQoQORkZEkJiaSmJhYUOr9ySefLNjHvn37eOKJJwBo06YNTZs2LUggvXr1wsbGBkdHR2xtbRk8eDCgGVlERkbeF+/EiRMJDw9n5MiR7N69m86dO5OZmcnOnTtZuXIlPj4+dOrUiYSEhPtK0vv5+XH27FnOnz/P3r17CQoKwtramrp16xYkx4pSI5AKCvJ14ffQG+w9f5NebRoYOxxF0Y8SRgqGNHToUGbOnMnx48dJS0sr+JXctm1b9uzZc1fbS5cu4eDggJ2d7qP//HMgaWlpDBgwgEWLFjFjxgxWrVpFfHw8x44dw9zcHDc3NzIyMgCoVatWwfampqYFh7DKo3BfJiYmBa9NTEyKnW7X2dmZSZMmMWnSJNq3b09oaGiZS9LPnz+/3DGXRI1AKqinewPsrM1VaRNF0YM6derQq1cvJk2adNfoY9y4cezbt49du3YBmpHEjBkzeO+998q1H2traxYsWMDnn39OTk4OSUlJNGjQAHNzc/755x+uXLlS4vZ2dnbY2dkVHDJbtWpVwbpu3boVvD537hxXr17F3d29XHH+8ccfBWXnb9y4QUJCAi4uLmUuSd+9e3c2btxIeno6KSkpbNmypVzx3EuNQCrIwsyEQV5OrD8WRWpmDnVqqY9UUSpizJgxBAUF3XVFlpWVFZs3b2b69OlMmzaN6Oho3n77bcaNG1fQ5t5zIF9//TVdu3Ytdj++vr54eXmxevVqxo0bx+DBg/H09MTf3582bdqUGueyZcuYNGkSQoiCk/sA06ZN47nnnsPT0xMzMzOWL19+18ijLHbu3MmLL75YMJPhZ599RqNGjXjmmWeIjIzEz88PKSWOjo5s3LiR/v37Ex4eTpcuXQBNQv7pp5/w8/Nj9OjReHt706BBAzp27FiueO6lyrnrwbErt3jsm4PMHenNiA6upW+gKFXQg1TOfePGjbz88sv8888/NG3a1NjhVCuqnLsBJEaFF7vOr0k9mjpYs+FEVCVGpCg117Bhw7h06ZJKHkamEogOtj4VQOhjw8nLzS1yvRCCYT4uHLiYwI2kjEqOTlEUxThUAtFB7TYtcUiC0E1fFNtmmK8LUqrSJoqi1Bwqgeigw8T3yTKFq5vWF9umWf3a+DaxU1djKYpSY6gEooO6Ti2JamVB/dAkstNTi20X5OvC2RsphMckV2J0iqIoxqESiI5se3XG9g6cWPNhsW0GeTljZiLUKERRlBpBJRAd+T31HmkWELfjz2Lb2Ne2oKe7I5tCosnNqzmXRyuKPlRGOfey0KXkeXBwMDNmzABg9+7dHDhwoGDdt99+y8qVK8u1jzlz5uDi4lJQen7z5s0l9qPLvkJCQti+fXuJbcpKJRAdWddrRIyHFU5haaQnxRXbLsjXldjkTA5eTKjE6BTlwVcZ5dzz7d69mwkTJlQ4Zn9/fxYsWFDQZ+EEMnXqVJ566qly951fxv2XX35h0qRJBcmyKLrsSyUQI2vQvy/WWXB85bvFtunj0QCbWmbqMJailFFll3Mvi549e/LGG28QEBBA69at2bt3L6BJGoMGDSIyMpJvv/2WL774Ah8fH/bu3XvX6GLx4sV07NgRb29vHnvsMdLSdJ/J1MPDAzMzM27evElkZCS9e/fGy8uLPn36cPXqVeDukUxRsWZlZTF79mzWrl2Lj48Pa9eu1cvnYpS6G0KIkcAcwAMIkFIWeXu4EOJh4EvAFFgipfxYu1wAHwIjgVzgGynlAkPH7Tt2NscXbSHxrwNQzLwuluamPOrpxNZT1/lwWHusLEwNHZai6N0nRz7h7K2zeu2zjX0b3gh4o9j1lVnOvTxycnI4cuQI27dv57333iuoywXg5ubG1KlTqVOnDq+++ioAf/31V8H64cOHM3nyZADefvttfvjhB50nhzp8+DAmJiY4OjoyZMgQxo8fz/jx41m6dCkzZsxg48aNOsX6/vvvExwczMKFCyvyMdzFWCOQUGA4sKe4BkIIU2AR8AjQFhgjhMgfk04AGgNtpJQewJoiO9Ezc6s6xLe3wfVCFskxF4ptF+Tnwp2sXHaG3aiMsBSl2jB0OfdOnTrh4+PDM888w+bNmwvOl9x77qUow4cPB/5X0r0sQkND6datG56enqxatYozZ86Uuk3+aObVV19l7dq1CCE4ePAgY8eOBTQl5AsnTH3FWhZGGYFIKcNBcwd3CQKAC1LKS9q2a4ChQBjwHDBWSpmn7a/4kxJ61njIcCyOrODYsjn0euunItsEuNnjYmfFhhPRBXOnK8qDpKSRgiEZupz74cOHAc2hp+XLl7N8+XKdt80viGhqalps6fXiTJgwgY0bN+Lt7c3y5cvZvXt3qdvMnDmzYDRTVhWJtSyq8jkQF+BaoddR2mUALYDRQohgIcTvQohWxXUihJiibRccHx9f4aA8g17jVl3I2BdSbBsTE8FQH2f2nr9JfEpmhfepKDVFZZVzNwQbGxtSUlKKXJeSkoKTkxPZ2dl3lX4vq65duxaM0FatWkW3bt30El95GSyBCCF2CSFCi3gM1UP3tYAMbXXIxcDS4hpKKb+XUvpLKf0dHR0rvGMTU1MSferT+HIuNy8eK7ZdkK8LuXmSLSevV3ifilKTjBkzhpMnT96VQPLLuefP612/fn0CAwPvK+de+DLewldEVYbBgwezYcOGgpPohX3wwQd06tSJwMBAnUrFF+err75i2bJleHl58eOPP951FVppevXqRVhYmF5PoiOlNNoD2A34F7OuC7Cj0OtZwCzt87NAM+1zASTpsr8OHTpIfQjf8b0Mc28jd/5naIntBi7YIwct2KuXfSqKoYWFhRk7BJ1t2LBBNmvWTEZGRho7lGqnqH8HQLAs4ju1Kh/COgq0EkI0E0JYAI8D+XfTbAR6aZ/3AM5VZmCt+0witj7IQ+dLbDfMx4XT0UlciNPvsFFRajpVzr1qMEoCEUIECSGi0IwytgkhdmiXOwshtgNIKXOAF4AdQDiwTkqZf+nCx8BjQojTwP8Bz1Rm/CampqR3cKZxVB5Rx/8ott0QH2dMBOqeEEVRqiWjJBAp5QYppauUspaUsqGUcoB2+XUp5aOF2m2XUraWUraQUn5UaHmilHKglNJTStlFSnmyst9D23Ga8gWhP80rtk0DG0seauXIxhPXyVOlTRRFqWaq8iGsKq1pwFCinAQWwSXPQviYnwvRien8e77iV4ApiqJUJSqBVIDs3AKnOMmFf4ovYvZIeyca1bVkyd5LlRiZoiiK4akEUgE+42eRJyBi3Q/FtrEwM2FioBv7LyQQGp1UidEpiqIYlkogFdCgTVeuNTWl7om4YudLBxjTqQl1apmxWI1CFKVEpqamd93L8fHHH+ut73ur0RZXAv769euMGDFCb/stj8jISNq3b2/UGHRhlFIm1YlFYDvqrzrFmS0L8Bw2s8g2dS3NebxjY5YdiOT1h9vgYqe/Am+KUp1YWVkRElJ8lYeKCAkJITg4mEcfLbhOh9GjRxdZXHD9+uKnr36Q5OTkYGZmuK95NQKpIL+Jc8g2hSsbS76zc+JDzQBYtu9yZYSlKNVGUlIS7u7uREREAJo71RcvXgzAc889h7+/P+3atePdd/83zcLRo0fp2rUr3t7eBAQEkJSUpHM588K//tPS0hg1ahRt27YlKCiITp06ERysKR6+c+dOunTpgp+fHyNHjiQ1VTPdtZubG++++y5+fn54enpy9qymqvG///5bMNLx9fUlJSUFKSWvvfYa7du3x9PTs8i4OnfufFfxxZ49exIcHMydO3eYNGkSAQEB+Pr6smnTJkAzshoyZAi9e/emT58+AGTlFD+XSEWoEUgF2bl6cKCFOfVPJ5GTmY5ZraJHFy52VgzycmL1katM79MKWyvzSo5UUXR347//JTNcv+Xca3m0odFbb5XYJj09HR8fn4LXs2bNKhglTJgwgRdffJHbt28XlEb/6KOPsLe3Jzc3lz59+nDq1CnatGnD6NGjWbt2LR07diQ5ORlra+v7ypkvX768yBLwhX399dfUq1ePsLAwQkNDC2K7efMmH374Ibt27aJ27dp88sknzJs3j9mzZwNQv359jh8/ztdff83cuXNZsmQJc+fOZdGiRQQGBpKamoqlpSW//fYbISEhnDx5kps3b9KxY0e6d+9+VwyjR49m3bp1vPfee8TExBATE4O/vz9vvfUWvXv3ZunSpSQmJhIQEEDfvn0BOH78OKdOncLe3p7EtCyu3U6nqb01dfX8vaNGIHpQp1cnbO9AyLqPSmw3uVtz7mTlsubI1UqKTFEeLPmHsPIfo0ePBqBfv354enry/PPPs2TJkoL269atw8/PD19fX86cOUNYWBgRERE4OTnRsWNHAOrWrVvsYZzSSsDv27ePxx9/HID27dvj5eUFwKFDhwgLCyMwMBAfHx9WrFjBlStXCrYrqpx6YGAgL7/8MgsWLCAxMREzMzP27dvHmDFjMDU1pWHDhvTo0YOjR4/eFcOoUaMKDqmtW7eu4PzMzp07+fjjj/Hx8aFnz55kZGQUTDDVr18/7O3tuXUni2u30rA2N6V2Lf3PTaRGIHrgP+EDzi7rxY3tv8OTHxbbrr2LLYEtHVi2P5KJgc2wMFP5W6maShspVLa8vDzCw8Oxtrbm9u3buLq6cvnyZebOncvRo0epV68eEyZMICMjo1LikVLSr18/Vq9eXeT6osqpv/nmmwwcOJDt27cTGBio0xwkAC4uLjg4OHDq1CnWrl3Lt99+WxDDr7/+iru7+13tDx8+TO3atbmZmsn1xHTq1DLDzaE2JiYlTp9RLuobTA+s6zXiursVjcLSyEwpeS70yd2acyM5Q1XpVZQy+OKLL/Dw8ODnn39m4sSJZGdnk5ycTO3atbG1tSU2Npbff/8dAHd3d2JiYgp+yaekpJCTk1OucuaBgYGsW7cOgLCwME6fPg1ozkvs37+fCxc0E8vduXOHc+dKLsl38eJFPD09eeONN+jYsSNnz56lW7durF27ltzcXOLj49mzZw8BAQH3bTt69Gg+/fRTkpKSCkZBAwYM4KuvvsovNsuJEycK2qdn5XA9MR1bK3Pc6hsmeYBKIHpTv38vamdC8MrZJbbr0doR94Y2LN57qeAPryiKRv45kPzHm2++SUREBEuWLOHzzz+nW7dudO/enXSY+9EAACAASURBVA8//BBvb298fX1p06YNY8eOJTAwEAALCwvWrl3L9OnT8fb2pl+/fmRkZBRZzry0EvDTpk0jPj6etm3b8vbbb9OuXTtsbW1xdHRk+fLljBkzBi8vL7p06VJwsrw48+fPLzgMZm5uziOPPEJQUBBeXl54e3vTu3dvPv30Uxo1anTftiNGjCiY4jffO++8Q3Z2Nl5eXrRr14533nkHKSVJaVncycrFztqCJvbWmJQ8cV+FiJr0Jebv7y/zr6DQt6y0JEICOxPfrBYDfyv5MsRfgq/x2vpTrJwUQPfWFZ+jRFH0ITw8HA8PD2OHUaXk5uaSnZ2NpaUlFy9epG/fvkRERGBhYWHs0O4jpSQmKYObqZnY17bAxc6qtFlfi1TUvwMhxDGpmX/pLmoEoicW1rbEtbPB5VwmqXGRJbYd4uNMA5ta6sZCRani0tLSeOihh/D29iYoKIivv/66yiaPqNvp3EzNpH6dWuVOHmWlEogeuQ4eSq0cCF72bontapmZMiHQjb3nbxJ2PbmSolMUpaxsbGwIDg7m5MmTnDp1ikceecTYId0nT0qu3krjdloWDeta4mRrWSnJA1QC0SvP4a9xywbS9xwvte24gKZYW5iqIotKlVKTDmlXB3l5kqsJaSSlZ+Nka0XDuhVLHmX9+6sEokem5hYk+jjgejmHhEslJxFba3Me79iEzSevE5OUXkkRKkrxLC0tSUhIUEnkAZGbJ4lMuENyRjYudlY42tSqUH9SShISErC0tNR5G3UfiJ41H/4E7P2SE8s+pO8Hv5XYdmKgGysORrJsfyRvPapOXirG5erqSlRUFPHxau6aqi5PShJSs8jKyaNebXPiUsyI00O/lpaWuLq66txeJRA9c+8/mT0OX5J7KKLUto3trXnU04mfD1/lhd4tqWupypsoxmNubk6zZs2MHYZSioTUTJ784Qjn41L4aowvHdo7GS0WdQhLz0xMTUnzc6bJtTyun9xVavvJ3ZqRmpnD2iPXKiE6RVEeZDeSMhj9/SEuxqey+Cl/HjZi8gCVQAyi7djnATj14+eltvVytaNzc3uW7r9Mdq5hKmYqivLgu3YrjZHfHSAmMZ0VkwLo6d7A2CGpBGIIbl2GE+0kMD96pfTGwJTuzYlJymDbqRgDR6YoyoPoQlwqI789SHJ6Dqsmd6ZzcwdjhwSoBGIwuQHNcI6VXNjzc6lte7ZuQMsGdfh+jypvoijK3UKuJTLy2wPk5OWxZkpnfBrbGTukAiqBGIj3U2+QB5xb832pbU1MBFO6NScsJpkDF0suxqgoSs2x51w8YxcfwsbSnF+f64qHU11jh3QXlUAMpFG77lxrakqdE7Elzpeeb6ivM/Xr1OK7PerGQkVRYPPJ6zy94ihNHWqzfmoXmjrUNnZI91EJxIDMu7bF8TaEb19UattaZqZMDHRjz7l4wmNUeRNFqclWHIjkxTUn8G1SjzVTOtOgru4391UmlUAMyG/Su+SYwOUNa3RqP65TE6zMTVmyV82brig1kZSSeX+e493NZ+jr0ZCVkwKq9PTXKoEYUL3G7bjWwhyHU7fJySy9XImdtQWjOzZm88lobiRVzsxqiqJUDbl5krc3hrLgr/OM8nflm3F+WJrrfxpafVIJxMDq9O6EXSoEL9dtitBJgc3IzZMsPxBp2MAURakyMnNymb76OKsOX+W5ni345DEvzEyr/tdz1Y/wAdf52bkk1oHEDX/q1L6JgzWPtHdi1eErpGbmGDg6RVGMLTUzh4nLjrL99A3eHujBGw+3qbRy7BWlEoiBWVjbkhjoTNPIXC78s1KnbaZ0b05KRg5rj6ryJopSnd1MzWTM94c4fPkW80Z580y35sYOqUxUAqkEHWd8SpYpnF3ylU7tvRvbEdDMnqX7VHkTRamurt1KY+S3Bzkfl8Lipzow3E/3KrhVhUoglaB+iw5c87TG9WQqt6+c1mmbKd2aE52YzvbTqryJolQ3Z28k89g3B0hIzWTVM53o3aahsUMqF5VAKknLSVOplQOHv3xVp/a92zSguWNtFu9V5U0UpToJjrzFqG8PIgT8MrUrHZraGzukcjNaAhFCjBRCnBFC5Akh/Eto97AQIkIIcUEI8Wah5X2EEMeFECFCiH1CiJaVE3n5tOk/matNTLDZe5Xs9NRS25uYCCZ3a05odDL7LtyshAgVRTG0v8JjGbfkMPXr1OLX57ri3sjG2CFViDFHIKHAcGBPcQ2EEKbAIuARoC0wRgjRVrv6G2CclNIH+Bl427DhVlydoT2xT4FD372sU/sgXxdc61nx0bZwctS5EEV5oP0SfI0pPx7DvZENv0ztgms9a2OHVGFGSyBSynApZWnT9gUAF6SUl6SUWcAaYGh+F0B+ZTFb4LphItWfTs/MJcEW0rfu16m9pbkp/3nUg7M3UlitrshSlAeSlJL5u87x2vpTdGnuwM+TO+NQp2Lzl1cVVf0ciAtQ+JszSrsM4BlguxAiCngS+LioDoQQU4QQwUKIYGPP9WxWy4o7PZvTOCqPsG2l18cCeLh9Izo3t2fezggS07IMHKGiKPqUlZPHa+tPMX/XeUZ0cGXphI7UqVV9ZhI3aAIRQuwSQoQW8Rha+talmgk8KqV0BZYB84pqJKX8XkrpL6X0d3R01MNuK6bzi/NIt4BLK37Qqb0QgtmD2pGUns38XecNHJ2iKPqSnJHNxOVHWH8sipl9W/PZCC8szKr6b/ayMWgqlFL2rWAX0UDjQq9dgWghhCPgLaU8rF2+FvijgvuqFLbO7lz3qUuTY8nEnTtEg9adS92mrXNdxgQ04cdDVxjbqQmtGz7YJ94UpbqLTkxn4rIjXIq/w9yR3ozo8ODd46GLqp4OjwKthBDNhBAWwOPAZuA2YCuEaK1t1w8IN1KMZdZ2yiuY50Lwglk6b/NKf3dqW5jywdYwdVmvolRhodFJBC3aT0xiBismBVTb5AHGvYw3SHv+oguwTQixQ7vcWQixHUBKmQO8AOxAkyDWSSnPaJdPBn4VQpxEcw7kNWO8j/Jo/tAoIluYYX/wBpkpus1AaF/bgpn9WrP3/E12hccZOEJFUcrjn4g4Rn13EDMTwfrnuhLYsr6xQzIoUZN+zfr7+8vg4GBjhwHAkaVvYPPpZm481YFeb/2k0zbZuXk8+uVesnLz2DmzO7XMqnapZ0WpSX4+fJV3NoXSppENSyd0pGEVnQSqPIQQx6SU992vp9MIRAjxmxBioBCiqh/yemD4j/8vsQ6Qt+O4TlPeApibmjB7cFuuJKSxdF+kYQNUFEUneXmST/44y1sbTtO9VX3WPdulWiWPkuiaEL4GxgLnhRAfCyHcDRhTjWBiakpObw+cYyWn1hd5BXKRurVypK9HQxb+fZ64ZDXplKIYU2ZOLi+uDeGb3RcZ26kJi5/yp3Y1uky3NDolECnlLinlOMAPiAR2CSEOCCEmCiGq7nyLVVznl77kjiVEr15Xpu3eHuhBVm4en/xR2n2YiqIYSmJaFk8uOcKWk9d585E2fDSs/QMxCZQ+6fxuhRAOwAQ0N/CdAL5Ek1B0mylJuU8dh8bEdnSgaUQW0Sd26LydW/3aTHqoGb8ejyLkWqIBI1QUpShXE9IY/s0BQq4lsmCML1N7tHhgJoHSJ13PgWwA9gLWwGAp5RAp5Vop5XSgjiEDrO58pr0DQMjXH5Rpu+m9W+FoU4s5m8+Ql1dzLoRQFGMLuZZI0Nf7SUjN4qdnOjHE29nYIRmNriOQBVLKtlLK/5NS3jVBRVFn5hXdufgO4Iq7BQ2PJpCaoHu9qzq1zHh9gDsh1xLZGBJtwAgVRcm348wNHv/+INa1TPltWlcCmj24pdj1QdcEUk8IMfyeRx8hRAODRldDuIwZRe0MOLTgpTJt95ifK96utnz8+1nuqPnTFcVgpJQs+ucCU386hnujumyYFkgLR3XwRdcE8jSwBBinfSwG3gD2CyGeNFBsNYbXiDe53lBgtitM50t6QTNnyOzB7YhLyeTr3RcMGKGi1FzpWbnMWBPCZzsiGOzlzNopnalfTarpVpSuCcQc8JBSPialfAzN3BwS6IQmkSgVYGJqiskAPxomQPDK/5Rp2w5N6xHk68LivZe5mpBmoAgVpWaKSUpn1HcH2XrqOq8/7M6Xj/tgaa5u4M2nawJxlVLGFnodBzSWUt4CsvUfVs3TdfqXJNWGhF+3lXnbNx5ug5mJ4KPtYQaITFFqpuNXbzNk4X4uxaey+El/pvVsWSOvtCqJrglktxBiqxBivBBiPLBJu6w2oK4j1YNaNg7c6twQtws5XD6wvkzbNrK15PleLdlxJpb9avpbRamw9ceiePy7Q1iZm7Lh+UD6tm1o7JCqJF0TyPNo5tzw0T5WAs9LKe9IKXsZKriaxn/6f8kxgTPfzS3ztk8/1AzXela8vyVMTX+rKOWUmyf5aFsYr/5ykg5N67Hp+UA1fUIJSk0g2nnJ/5ZS/iqlnKl9rJc1qQpjJWnQpitX2lvhfCKJpOtlu8vc0tyUtwd6EBGbws9HrhooQkWpvpLSs5m0/CiL915mfJemrHw6gHq1LYwdVpVWagKRUuYCeUII20qIp8ZrPv5prLLg0Jcvl3nbAe0a0aW5A5/vPMftO2r6W0XR1cX4VIIW7Wf/hZv8N8iT94a2x7yGlSUpD10/oVTgtBDiByHEgvyHIQOrqdoOfJ5rribU3n2JnMz0Mm0rhODdIW1Jychm/q5zBopQUaqXf8/FM2zRfhLTs1n1TCfGdmpi7JAeGLomkN+Ad4A9wLFCD8UArAYF4pAEh5e8WuZt2zSqy7hOTfnp8FUibqQYIDpFqR6klCzZe4mJy47gYmfFpucD6dTcwdhhPVB0nlBKCGEFNJFSPrAlYKvShFIlyU5P5UiPjqTamTBg55kyb3/7ThY95+6mnXNdVj3TSV16qCj3yMzJ5T8bQll/LIoB7Royb5RPjSrDXlYVnVBqMBAC/KF97SOE2KzfEJV85lZ1SHmoCU2u5nF25+Iyb1+vtgUv92vNgYsJ/BF6wwARKsqDKy4lgzHfH2L9sShm9GnFN+M6qORRTroewpoDBKC950NKGQI0N1BMCtDpxblkmsGFZd+Wa/txnZrg4VSXtzac5npi2c6lKEp1dezKbYYu3E9YTDKLxvrxcr/WmJioEXp56ZpAsqWUSfcsUzcbGFC9pp5Eedeh8ek0Ei4dL/P2ZqYmLBrrS1ZOHi/8fJxsdW+IUoNJKVm67zKjvzuIqYlg/dSuDPRyMnZYDzxdE8gZIcRYwFQI0UoI8RVwwIBxKUCbKS9hlgOHPp5Rru2bO9bhkxFeHL+ayCe/n9VzdIryYEjJyGbaquO8vzWMnu4N2Da9G+1d1F0J+qBrApkOtAMygdVAMlC22uNKmbXsMY7Lnpa4Hkjg+sld5epjkJcz47s0Zcm+y+p8iFLjhMckM2ThfnaGxTLrkTYsfqoDttZqFm590XVO9DQp5X+klB2llP7a5xmGDk4Bn1n/h5Bw/L/lL3r81kAPvFxteW39SVWxV6kx1gVfY9ii/dzJzOHnZzrxbA2ddtaQdL0Kq7UQ4nshxE4hxN/5D0MHp4Cr38Nc62JPs5NpROz6oVx91DIzZdFYPwQw7edjZGTrPueIojxoMrJzeX39SV5ffwq/JvXYNqObur/DQHQ9hPULcAJ4G3it0EOpBF3f/Z50S7g0b365+2hsb83no3wIjU7mw22q7LtSPV2+eYdhi/azLjiKF3q15KdnOuFooyZ/MhRdE0iOlPIbKeURKeWx/IdBI1MK1Gvcjpt93XC7lMPRFWWbcKqwfm0b8mz35vx06Cqb1DzqSjXz++kYBn+1jxvJGSyb2JFXB7hjqi7RNShdE8gWIcQ0IYSTEMI+/2HQyJS79HhnBbfqQvLSDeRml79Q4qsD3PFvWo9Zv53mQlyqHiNUFOPIysnj/S1hPLfqOC0a1GHbjG70cm9g7LBqBF0TyHg0h6wO8L86WFW/Jkg1YmXbgKzhHXGOleyb/2y5+zE3NeGrsb5YmpsybdUx0rPU+RDlwXU9MZ3Hvz/I0v2XmdDVjV+e7YKLnZWxw6oxdL0Kq1kRD3UneiXr/soSYhoITNcfIjMlodz9ONlaMX+0D+fjUnlnU6geI1SUyvPvuXgGLthLxI0UFo71Zc6QdliYqRLslanET1sI8Xqh5yPvWfdfQwWlFM3U3II6E4fgkAS7P3yqQn11b+3I9N6tWH8sinVHr+kpQkUxvNw8ybw/zzFh2REa2FiyefpDDPJyNnZYNVJp6frxQs9n3bPuYT3HouggYOLHXGlmiv2OSyRGhVeorxf7tCKwpQPvbAolPCZZTxEqiuFcu5XG6O8OsuCv8wz3dWXj84G0cKxj7LBqrNISiCjmeVGvlUrSdMYLWGfA/vcnV6gfUxPB/NG+2FqZM23VcVIysvUUoaLol5SSdcHXeHj+HiJupDBvlDdzR3phZWFq7NBqtNISiCzmeVGvlUri8chULntZ4bo/gegTOyrUl6NNLb4a48uVhDvM+u00aqp7papJSM1k6k/HeH39Kdq72PL7S90Y7ueq7iqvAkpLIN5CiGQhRArgpX2e/9qzvDsVQowUQpwRQuQJIe6bpKRQu6VCiDghROg9y+2FEH8KIc5r/1uvvLE8qHxn/R8AJz6+98hi2XVq7sCrA9zZeiqGHw9dqXB/iqIvf5+NZcD8vfxzNp63Hm3Dz5M741rP2thhKVolJhAppamUsq6U0kZKaaZ9nv+6IhXJQoHhaKbILclyij7X8ibwl5SyFfCX9nWN4uI7gKgu9jQ7mc7ZHd9XuL+p3VvQu00DPtgaxslriXqIUFHKLy0rh/9sOM2k5cHUr2PBphcCmdK9hboxsIoxyjVvUspwXabGlVLuAW4VsWoosEL7fAUwTI/hPTDyS5xc/nJBhfsyMRF8PtKbBjaWPP/zcZLS1PkQxThOXL3NwAX7+PnIVaZ0b87G5wPxcKpr7LCUIjyoF003lFLGaJ/fABoW11AIMUUIESyECI6Pj6+c6CpJvcbtSOjfDLdLuRxd8VbF+6ttwcKxvsQmZ/DKLyfV+RClUmXn5vHFn+cY8e1BsnLy+PmZzrz1qAeW5upEeVVlsAQihNglhAgt4jFUn/uRmm+5Yr/ppJTfa0vQ+zs6Oupz11VCz3d+1JY42VihEif5fJvUY9YjHuwKj+Wbfy/qIUJFKd3F+FRGfHOAL/86z1BvZ35/qRtdWqgKuvqQGBXO1gmdSY65oPe+DZZApJR9pZTti3hs0kP3sUIIJwDtf+P00OcDqZaNA9mPBeAcK9k7r2KX9eabGOjGIC8nPv0jgh/2XdZLn4pSFCklPx66wsAFe4lMSGPRWD/mjfahrqWa9EkfTqz5kDPDh9P0SBKhGyt+qPteZnrvsXJsRlOf62Ptf/WRlB5Y3V5ezO7tPlj+eoTMaQnUsqnYLzchBPNG+ZCbJ/lgaxiZOblM69lST9EqikZccgav/3qK3RHxdGtVn89GeNPI1tLYYVULWWlJ/PnKENx2x5FiC+L/nqXrUP1PImuUcyBCiCAhRBTQBdgmhNihXe4shNheqN1q4CDgLoSIEkI8rV31MdBPCHEe6Kt9XWOZmltQd1IQ9smw+4Mn9dKnhZkJX43xZaiPM5/+EcEXf55T50QUvZBSsikkmgHz93DwYgLvDWnHykkBKnnoyZUjm/h3UBea/xPHZS9rfDdto70BkgeAqElfCv7+/jI4uPoWEf79kfY4xuTSYst66jVup5c+c/Mkb/56il+ORTG1RwveeNhd3cCllFvkzTu8symUvedv4uVqy7xR3rRsYGPssKqFvNxc9nw2gbo/ByMF3BkfSPeXl+ilbyHEMSnlfffsPaiHsJQiNHtpBrkvfsGB96YwcMl+vfRpaiL45DEvLMxM+Pbfi2Tm5DJ7UFuVRJQyyczJ5ft/L/HVPxewMDVhzuC2PNnFTd3XoSdJ1yPYO300Lc5kcs3VhHafzcPFd4DB96sSSDXSZsAUtnp/S+ODt4g+sUNv/4BMTAQfDmtPLTNTlu6/TFZOHh8MbY+J+p9f0cGhSwn8Z8NpLsbfYaCnE+8MaqsOV+lRyLr/487clbilQGR/Z/p9thWzWpUzJ4pKINWM31ufEj92Oif+bxYu6/T3C0QIwTuDPKhlbsI3uy+SmZPHJ495qV+QSrFu3cnio23h/Ho8Ctd6Viyb0JFebdRMgfqSnZ7Kn68OounfseTZQt5HT/PI8FcrNQaVQKoZZ+++nOjqQLO9CYT//i0ej0zVW99CCF4f4I6lmSlf7DpHVk4e80Z5Y2b6oN6PqhhCXp5k/bEo/vt7OKkZOUzr2YLpvVupyrl6dPXoFs6++SbNovO46GVF9y/XUdep8q+UVAmkGgp8dzHnBw0nYcFCvSYQ0CSRF/u2wsLMhE/+OEtWTh4LxviqmeAUAM7FpvD2hlCORN6io1s9PgrypHVDdZJcn3Z/Mh6bVUdwAOKe7syg15YZLRb1f301ZOfqwa0BzWl6OZcjywxTZ/K5ni2YPagtf5y5wdSfjpGRreZWr8nSs3L59I+zPPrlXs7FpfDpY16sndJFJQ89So65wNaRvjRcdoSEBiY0WDaXHkZMHqAu4622MlMSONLvIQB8Nm3DpqFhprD/6dAV3t4YSrdW9fn+SX91mKIG+icijtmbQrl2K53H/Fx569E2ONSpZeywqpWT6z8m5bMV2CXD1T5O9PtsM+ZWlTcTY3GX8aoRSDVVy8YBm5efwj4J/n1xZOkblNMTnZvy2Qgv9l24ycTlR7iTmWOwfSlVS2xyBs+vOs7EZUexMDVh9eTOfD7KWyUPPcpMSWDblG6YvaMpPp77wXgeXfh3pSaPkqgEUo35jJpFZA9HWoSksX/hNIPtZ6R/Y+aP9uFo5G2eWnqEZDU1brWWlJ7Np3+cpcdn//BneCyv9GvN9hdV8UN9O7tzMfsf7UbzPTe57FMb783b8B5RtaY+Uoewqrms1ET2DuxK3WRJk1WLadj2IYPt64/QGKavPoGHU11WTgrAztrCYPtSKl96Vi7LD0Tyze4LpGTmMMTbmVf6udPEQc0QqE85mensmjUM5x1XSbMEObk/XaZ+adSYijuEpRJIDXDh31Xcef5DrjcxY8CWEExMDXee4q/wWJ776TjN6tdmwRhf3Bupk6gPuuzcPNYevcaCv84Tl5JJ7zYNeLW/O22d1SRP+nbl8AYi/vM2jaPyuOxuQcC8pdRv0cHYYakEAjU3gQDs/M9QGv96jqgR7vT7cKNB97X/wk1mrD5BSkYOL/ZtxbPdm6t7RR5AeXmSLaeuM+/Pc1xJSMO/aT3eeKQNHd3sjR1atZOXm8vf74/G4bcz5JlA8piO9HhtmUF/7JWFSiDU7ASSl5vLjkHeOF3Lxeabd2nR7XGD7u/WnSxmbwpl66kYvFxtmTvSW13S+YCQUrL7XDyf/hFBeEwybRrZ8PrD7vRyb6BqoBlAbNg+jr/2HG4Xc7jS1BSvT+fj7N3X2GHdRSUQanYCAbhxZg/Xxj1Lkp2g+/aDWFjbGnyf20/H8M7GUDUaeUAER97i0z8iOBJ5iyb21rzSvzWDvZxV3TMD2fPFZKxW7MMiB2IHt6TP+79ial71zh2qBIJKIAD7vpyKwzf/cqlXAwZ+82+l7DMhNZPZm86w7XQM3trRSCs1GqlSwmOSmbsjgr/OxuFoU4sZfVox2r+xqjBgILevnWH/zCdoEZpBdCOB2/tv07L7WGOHVSyVQFAJJN/W0R1odiqNnA/GV+plgdtOxfDOplBSM3J4qV8rpnRToxFju5qQxhe7zrExJJo6tcyY2qMFEwPdsLZQVY4M5ciyN8lZtIm6d+Bqn0b0/XRjpRwNqAiVQFAJJF9yzAVODRuMFIa9S70oN1Mzmb0plO2nb6jRiJFIKTl4KYEVByL5MywWc1MTJgY2Y2qP5urSawO6k3Cdf2YG0eJIMnH2UH/Wc7QbPMPYYelEJRBUAiksZO1HmM/5ics+1gxafazS97/11HVmbzpDakYOM/u1ZnK3Zmo0YmBpWTlsOBHNygNXiIhNoZ61OY8HNGFCVzca1lXzcxjS8dUfkPrlzzgmwsUudvSetwHreo2MHZbOVAJBJZB7bXu2G83/vcmtF3oR+MLXlb7/m6mZvLMxlN9Db+Dd2I7PR3qp6U0N4GpCGisPRrIu+BrJGTm0darLhK5uDPFxxtK8alwmWl2lxF7i31cfp8XRFBJswWr6SDo88b6xwyozlUBQCeRe+Xep2yRL3Fb/QIM2XSs9BiklW0/FMHtTKHeycnm5X2smd2uuJqqqICkle8/fZMWBSP6OiMNECB5u34gJXd3wb1pPXY5bCY4sfYPsbzdjlwyXO9vS8/NfqOPQ2NhhlYtKIKgEUpTKvEu9JPEpmtHIH2c0o5HpvVrSq00DlUjKKDUzh1+PRbHiYCSX4u9Qv44FYwKaMK5TUzWNbCVJjApn36tP0CIkjTh7sHu5ci9WMQSVQFAJpDg7Zw2h8YbzRI1sQ78PNhgtDiklW07F8OHWMOJSMnGxs2JspyaM8m+Mo42q8FqSS/GprDx4hfXHokjNzMHb1ZbxXd0Y6OVELTN1mKqyHPh6OmLpLmzuwJVu9en92a9Y2T740/iqBIJKIMXJzc5i5xC/SrtLvTTZuXn8GRbLT4eucOBiAuamggHtGvFE56Z0amavDr9oxadk8vfZWLaeimHv+ZuYmwoGejoxvqsbvk3qGTu8GiXh0nEOvv40LUIzuOEoaPD61AfmCitdqASCSiAlMcZd6rq4GJ/KqkNXWX9McwK4VYM6jOvUhOEdXKlraW7s8CqVlJLzcan8GRbLrvBYQq4lIiW42Fkx0t+VsZ2a0MBGHaaqTHm5uexbMJVaP+7DOgOu9W5E3483YFHHztih6ZVKIKgEUpp9Xz6Lwzd7uNy7IY9+vdvY4dwlPSuXLaeus+rQ4pmAxgAAGBZJREFUFU5GJWFlbsowX2fGdWpKe5eqkewMITs3j6ORt9gVFseu8Fiu3koDwMvVlr4eDenr0RAPJxs1KjOCuLMHCH5jKs0isoluJGj89iu4933a2GEZhEogqASii62j/Wh2Kp2cDyfi/djrxg6nSKeiEvnp0BU2n7xORnYePo3teKJzUwZ5OVWLy1KTM7L5NyKeXeGx/HM2juSMHCzMTAhs4UDftg3p06ahOiFuRHm5ufz7yXhs1h3DPBtiBjShz0e/VplZAg1BJRBUAtGFMe9SL6uktGx+PR7FT4evcCn+DnbW5ozwc6WHuyNtneo+UFOrXruVxl/hsewKj+PQpQRy8iT2tS3o3aYBfT0a0q1VfWrXUuVFjO36yV2cnDUTt0s5XHMxocWcd4x+zrAyqASCSiC6OrHmQyzmrOKypxWPrjlaZeYkKE5+aY5Vh66y48wNcvI0/6Yb1bWkrXNd2jnXpa1TXdo529LY3spoh3uklNxMzeJ8XAoX4lI5H5ta8PxmahYAzR1r08+jIX3bNsSvST11GXMVkZ2eyt9zRuP4+yVMJMQNaknvOeswq2Vl7NAqhUogqARSFttf6EWzXTe41KM+A7/ba+xwdJaUlk3o9STCridz5noSYTHJ/H97dx5XVZk/cPzzvSgEgqIoKKGguKWl5papqaW5ZaUt06KZTjVj+zbWlDVOTf2qsabFtqksW7RynDZTUzHLNDNxQ1EzVFBBxAUVFFkuz++Pc3QQQa944XC53/frdV88nPNwzve593K/95znnOdJycrFzimEBdXivOMJpS7touvSKjLMq6POGmPIysk/niB+z8olxS5nH/nffPFhQbVoFRVKq8gw2jQOo2+bRsQ3qrmnQXzVui9fYs/LU2iSZUhtUYt2f3+G2O5XOx1WldIEgiaQM1HsdjNndA/iV+ay/armDPrnHKdDqrCjhW5+y8whOeMQG3YdJDnjEJt25ZBX6AagdoDQKjKM9tF1aVjG/SZl/YsYTl544HDh8YSRc7To+PJ6wbVpHRVKy8gwWkWG0ioqlNZRYUSGBWnndzWWvSOZpY+NoXliLgdDofiWPvS8581qf0ReGTSBoAnkTBXl5zHvhh602FRA5ugLufTx6U6H5DXuYsO2vYfZsMs+Usk4xMZdhziUV3Ry5XI+40svDjunFi0jrSOKVlGhx8sNQwM1UfiQYrebHyeNJWTGCurkQerF4fR9blq17g+sbJpA0ARSEfk5+1h0fV9i0twcuncAPe+a7HRISlWalMXT2fLMszTbXszOJkLMI/dx3pBxTofluPISiI6frU4pKCyC3h99S2Zjoc4bCayc/pTTISnldUeyM5k9rg954/5BxO5i0m9ox2Xz12jyOA1HEoiIXC8iySJSLCInZbUS9d4XkSwRWV9q+SQR2SQiSSLypYjUrNs+q5nQyDgunPIJ2eHA85+xcW7VD/2uVGX55Z2HWDX4Ulr8sIe09sHEzvyQAU9Vz7nJqxunjkDWA9cAi09TbyowuIzlC4DzjTEdgM3AY16NTp0kokVnWr/1OkfPgUMTJrPt55lOh6TUWclIWsjs4R2p96+5uAPgyBPXM+w/q2jUqrvTofkMRxKIMWajMeY3D+otBvaXsXy+MeZYb+cvQIyXQ1RliO7Qn8YvTUQMpD/4JJnJp8v/SlU/hXm5zHv0CjJH3UNMSgGpg8/l4vnLfHKiJ6fVhD6QPwJzy1spIn8SkUQRSdyzZ08VhlUzxV9yI3WevpOQPNj453Fkp61zOiSlPLZy+lP8NKg7zb7eyu6YWoS//zxDXkmocYMfVpVKSyAikiAi68t4eO0OHBGZABQB08qrY4x5xxjT1RjTtVGjRt7atV9rf+V9FI+/lohsQ+LYG8ndt8PpkJQ6pdRlXzDn6g6EPP0ZQXmGveMuYdCsNX53Q6C3VdrgOsaYAZW1bQARGQMMA/obf7oWuZroesszLNm/l+i3f+SnW4bQf8YS/Ranqp0DOzeydOJtNFuWTZMASB0UTd+/TyOkfmOnQ6sRfPIUlogMBh4BrjLGHHE6Hn/V+/63ybzpAuK2ulkwuh/uwgKnQ1IKsPo5FjwxnM1XXkPc0mzSOoQQ/fm7DHl1oSYPL3LqMt4RIrITuBiYLSLz7OXRIjKnRL1PgWVAGxHZKSLHBtt/HQgDFojIGhF5u4qboGz9/zaDtKHNaLEhn7m39abY7XY6JOXnfp3yCEsHdCNm5m9kN3Lhevlehn22kqh2vZ0OrcbRO9GVV8y+vRctluxn24DGDH19kdPhKD+U8uM0fn/heeK2FrE3HFyjLuXiOyf75dhV3qZ3oqtKNeTfi9nSKYTmCZnMn6Adk6rq7Nu6im9Hd+fouGeITC9i+5VxdF+whF5+OvBhVdIEorzCFRDAoA9+ZFvr2jT972Z++OcYp0NSNVxB7gHmPTKUbSNGErcih9SuYcR+8QmDJs0lKCzC6fD8giYQ5TW1g0O59OMEtjd10eiD5Xz38GDtE1FeV+x2s/SNu/llwMU0+2Ybe6IDCHrjrwz7+FcaxndxOjy/oglEeVVwvUh6TZtNattAYmenMfe6zuRmpTodlqoBit1uVnz4OAsv70CDyd9THACH/jKMIXPX0+qyW50Ozy9pAlFeFxoZx5CZq0i7Ipa4TQUkjhiiY2eps7Jq2kQSBnUg9LkvCckpJv2G9vRKWMFFt09yOjS/pglEVQpXQACDX/qOI38dQZ0jsH/ckyx7+36nw1I+Zs3nzzJvYHuC/zGDsAPF7Ly2NV2/X8KAp2ZSO1in/3WaXsarKt2OlbPZ/NB4oncbtvWPYtAr83WobHVKSV+8SMa7U4nd5uZgHTh0eTy9H31PbwJ0iF7GqxzTtMsVXPzV92zpGEzzhbuZN6ILB3ZudDosVQ0lz3qNuVdcQO3Hp9Ag0832K+O4YP5CBj7/rSaPakgTiKoSIfUbM3T6CnZe25qmW4tIuu4aNid84HRYqprYOPdt5lzZAdf4t2iYXkTqkKa0mzeXQZPmUici2unwVDk0gagq4woI4PJnv8Y9cRSBhXD4wX+y+F+3Ox2WctDmhA+YPbwjPPgqkdsLSR0YTZu5sxjy8nxCI+OcDk+dhvaBKEdkJi8m6b47aZpezNbeDRg4eZ52ivqR3xKmkPLmZOI25HM0EHZfEkXPx94iPOY8p0NTZSivD0QTiHJMQe4B5o8bSHxiDmlxAXR78yMiWnR2OixVSdyFBfw6ZTwHv1pIbKqbo7Uho1cjej72BvVjL3A6PHUK2omuqp3A0HCGffIru0Z1pMkON5tuHEnyt5OdDkt5WW5WKgsmXM3SPh0Jf2U+dfe6SRvalLhvZ3DF24s1efgwPQJR1ULyrNc48PRbhB6BfTd1ot9jn+hAeD4uY20CqydPJGrFfurkQ3oTIfCKHvS462UCQ+o5HZ46A3oKC00g1d3eLStJvOtWYtPcpMUF0PSeP9N+2L1Oh6XOUNIXL7Ljk0+I3ZiPAKltA4kZNZILhj+sXwp8lCYQNIH4gsK8XBY9fRPh36UQlgdb2wVx/qMTib1ohNOhqVMozMtl2Zv3kz97GTEZhiNBkNmtAR3vepKYzoOdDk+dJU0gaALxJYd2pfDT07dx7pIsAtyQ1q0eFz3xGo1adXc6NFVC9o5klr/8EGE/badBDuwJh6P9W9Pz/lf1MtwaRBMImkB80e4NS1jx7IPErcqloDZk9mlCn7+9rx9ODnIXFrB25gtkzPqamHWHCSqE7c1chI3oz0W3v6jD1NRAmkDQBOLLtvz0GZteeo4Wmwo4WAdyhral72NTtTO2Cv3+/Yds/vw9wlfvpcEhyK8NO9uFED/mDs4bMs7p8FQl0gSCJpCaIOmLF8l88wOa7ixmT32QGy6h171vaedsJclMXszaqc9Re3kaTbIMboEdzWsR3LczXcc+pUeCfkITCJpAaopit5vl7z5E/ifzidprXR5a/44b6HLzRKdDqxEO7UohccoTFCxZT9NUNy6s57i4Rzydxk4gsnUPp0NUVUwTCJpAapqi/DwWTxrLOV+vpX4OpMbXosWDD9BmwG1Oh+ZzCnIPkPjRk2Qn/ETM5nwCi2BvOOR0ieK8kffQvOd1ToeoHKQJBE0gNdWR7EwWPzOGhglpBOfDjrgAArq1ouPI8US27el0eNVWQe4B1n3zKrvmzCZqfQ6hRyEnGLIuqEuz4ddz/tUP6qlBBWgCATSB1HTZaetY9sK9hK7eTaNsKAbSY1zQtTnn3/QA0R0HOB2io9yFBWxOeI+0hbMwG3bQeIebcwohvxbsbBNEw0GX0XnURL0wQZ1EEwiaQPxFsdtNyqKPSPnqI4LX7KbxXus9vrOJ4O4SS7sb7qJZtysdjrLyFbvdpC3/ki1zp5O/bguRaQWE5lnrshpATssw6nfrQoc/jCcsqoWzwapqTRMImkD81dYlM/ht5rsErk4nerf1fs+IEgoujKb1tbcTf8mNDkfoPZnJi9k46z0Or06m/tYjNMixlu8Pg+wWIYRe2I42w26jyfn9HI1T+RZNIGgCUbB9xSw2fP4mAavSiMmw3vuZDYW8jpG0HHErLS8d7TPn/QtyD7B91RwyV//IgZVrCN1yiKh91rrccyArLpCgC+KJH3IzsReN8Jl2qepHEwiaQNSJMpIWsv7TVzCJW4nZUYwL64P3QH0hPyIIV+NwQpo2I6J1B2I6D3Rk2HF3YQG71n1PxtofOJiykfz03QRkHSZ0fxENDoLL/vfNrw27mgYg7ZoS2/9KWg+4Xe8IV16jCQRNIKp8WZt+JunTf3F0Sxq19uYRtt9N+KETJ8w5bCeXoxFBuCLrEdzMSi7ndrqM+rEdz+gbfrHbjbsgj+KifAoLjnBkXzoZaxaxf/Na8ranI7sPEbyvkAYHDIFF//u7o7VhfwPhaEQg0jic4GbNaNj2QtoMGEtgaLj3nhClStAEgiYQdWbyc/axY9V3ZG1YTs62FAoz9lJr7xFCs93UP1gquQTB4TogxdZRgav4f+UAuxxgL3fZ5fIUuWB/OByOqI2JCiPo3CY0aN2e6E79iWzbS09FqSpXXgKp5UQwSvmCoLAIWvYdScu+I09al5+zjx2r55GV/As5qVsoTN+DHM7HuARcLggQELF+ulzgEiTABQEucLkQlwsCApAAQVwBuIKCqNuiFU069Ca6w+U6P7zyCZpAlKqAoLAIWva5mZZ9bnY6FKUco3OiK6WUqhBHEoiIXC8iySJSLCInnVcrUe99EckSkfXlrH9YRIyINKy8aJVSSpXFqSOQ9cA1wOLT1JsKlDkfpog0BQYC270amVJKKY84kkCMMRuNMb95UG8xsL+c1S8DjwD+cxmZUkpVIz7ZByIiVwPpxpi1HtT9k4gkikjinj17qiA6pZTyD5V2FZaIJACNy1g1wRjz9VlsNwR4HOv01WkZY94B3gHrPpCK7lcppdSJKi2BGGMqa+zseKA5sFZEAGKAVSLS3RiTWUn7VEopVYrP3QdijFkHRB77XURSga7GmL2OBaWUUn7IkaFMRGQEMBloBBwA1hhjBolINPCeMWaoXe9ToB/QENgNTDTGTCm1rVQ8TCAisgdIq2DYDQF/S1LaZv+gbfYPZ9PmWGNMo9IL/WosrLMhIolljQVTk2mb/YO22T9URpt98iospZRSztMEopRSqkI0gXjuHacDcIC22T9om/2D19usfSBKKaUqRI9AlFJKVYgmEKWUUhWiCaQUERksIr+JSIqI/LWM9WNEZI+IrLEftzsRpzedrs12nT+IyAZ7GP7pVR2jt3nwOr9c4jXeLCIHnIjTmzxoczMRWSQiq0UkSUSGOhGnt3jQ3lgRWWi39QcRiXEiTm/yYAoMEZHX7OckSUQ6n9UOjTH6sB9AALAFaAEEAmuBdqXqjAFedzrWKm5zK2A1UN/+PdLpuCu7zaXq3wu873TcVfA6vwPcaZfbAalOx13J7f0PcKtdvgz42Om4vdDuPkBnYH0564cCcwEBegDLz2Z/egRyou5AijFmqzGmAPgMuNrhmCqbJ22+A3jDGJMNYIzJquIYve1MX+ebgE+rJLLK40mbDVDXLtcDMqowPm/zpL3tgO/t8qIy1vscc+opMMBq40fG8gsQLiJNKro/TSAnOhfYUeL3nfay0q61D/9m2hNb+TJP2twaaC0iS0XkFxEpc5IvH+Lp64yIxGIN3vl9Wet9iCdt/jswSkR2AnOwjrx8lSftXYs1sR3ACCBMRCKqIDYnefze94QmkDM3C4gzxnQAFgAfOhxPVaiFdRqrH9a38XdFJNzRiKrOjcBMY4zb6UCqwE3AVGNMDNapjo9FpCZ/RvwF6Csiq4G+QDrgD6+z19TkN0dFpAMljyhi7GXHGWP2GWPy7V/fA7pUUWyV5bRtxvqW8o0xptAYsw3YjJVQfJUnbT7mRnz/9BV41ubbgBkAxphlwDlYA/D5Ik/+lzOMMdcYYy4EJtjLfP5iidM4k/f+aWkCOdEKoJWINBeRQKwPj29KVih1vvAqYGMVxlcZTttm4Cusow9EpCHWKa2tVRmkl3nSZkSkLVAfWFbF8VUGT9q8HegPICLnYSUQX53G05P/5YYljrAeA96v4hid8A0w2r4aqwdw0Bizq6Ib87n5QCqTMaZIRO4B5mFdxfG+MSZZRJ4GEo0x3wD3ichVQBFWZ9UYxwL2Ag/bPA8YKCIbsA7xxxtj9jkX9dnxsM1gfeh8ZuzLV3yZh21+GOv05INYHepjfLXtHra3H/CciBhgMXC3YwF7SckpMOy+rIlAbQBjzNtYfVtDgRTgCDD2rPbno+8PpZRSDtNTWEoppSpEE4hSSqkK0QSilFKqQjSBKKWUqhBNIEoppSpEE4jyaSKS60GdB0QkxIv7HC4i7by4vZ/P4m9z7Z/RIjLzFPXCReSuiu5HqbJoAlH+4AHgjBKIiAScYvVwrIH4vMIY09ML28gwxlx3iirhgCYQ5VWaQFSNICL97DkdZorIJhGZZt9tex8QDSwSkUV23YEiskxEVonIf0Qk1F6eKiIviMgq4HoRuUNEVojIWhH5r4iEiEhPrBEIJtlzhcSLSCd7kMkkEflSROrb2/tBrHlFEkVko4h0E5EvROR3EXmmROy5JcqPisg6e5/Pl9HO5nbs60ptI+7YHBAi0l5EfrXjSxKRVsDzQLy9bJKIhIo1F8Yqe1tXl9jORhF5V6y5X+aLSLC9rqWIJNixrRKReHv5ePt5ShKRp7z6wqrqzenx6/Whj7N5ALn2z37AQayxfVxYw4/0ttelAg3tckOsu47r2L8/CvytRL1HSmw7okT5GeBeuzwVuK7EuiSgr11+GnjFLv8AvGCX78caHr0JEIQ1vlhEqTYMAX4GQuzfG5TR3m+A0Xb57hJ/G4c9BwQwGRhplwOB4JLr7eW1gLolnpMUrDki4rBGWehkr5sBjLLLy4ERdvkcrKO6gVjziIj9vH8L9HH6faGPqnnoUCaqJvnVGLMTQETWYH0YLilVpwfW6aelIgLWB2zJsa4+L1E+3/6WHw6EYg2LcQIRqQeEG2N+tBd9iDVR0THHhkVZByQbe9whEdmKNahdySFhBgAfGGOOABhjyprXoRdwrV3+GHihjDrLgAlizbD3hTHmd7utJ4QO/J+I9AGKsYb0jrLXbTPGrLHLK4E4EQkDzjXGfGnHdtRux0CsJLLarh+KNdDm4jLiUjWMJhBVk+SXKLsp+/0twAJjzE3lbONwifJUYLgxZq2IjMEeULKCMRWXiq+4nPg8ccrxh4wx00VkOXAFMEdE/szJg1+OBBoBXYwxhSKSinVUUTJmsJ7H4FPsToDnjDH/PoP4VQ2hfSDKH+QAYXb5F6CXiLQEEJE6ItK6nL8LA3aJSG2sD9yTtmeMOQhki8gl9rpbgB+pmAXA2GNXjIlIgzLqLMUa5JFSMR0nIi2ArcaY14CvgQ6c+ByANeNglp08LgViTxWYMSYH2Ckiw+19BNlxzgP+WKIf6VwRifSotcrnaQJR/uAd4DsRWWSM2YM1gvKnIpKEdbqnbTl/9yTWef+lwKYSyz8DxovIarsj+VasTvUkoBNWP8gZM8Z8h3XKK9E+BfeXMqrdD9wtIusofya5PwDr7W2cjzWF6T6s03brRWQSMA3oam9ndKn2lecWrNGok7D6ahobY+YD04Fl9rZmcmKiUjWYjsarlFKqQvQIRCmlVIVoAlFKKVUhmkCUUkpViCYQpZRSFaIJRCmlVIVoAlFKKVUhmkCUUkpVyP8DfdcmQXWv86IAAAAASUVORK5CYII=\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -157,7 +155,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -174,7 +172,7 @@
"pylab.plot(distances, np.subtract(hf_energies, energies[2]), label='Hartree-Fock')\n",
"pylab.xlabel('Interatomic distance')\n",
"pylab.ylabel('Energy')\n",
- "pylab.title('Energy difference from ExactEigensolver')\n",
+ "pylab.title('Energy difference from NumPyMinimumEigensolver')\n",
"pylab.legend(loc='upper left');"
]
},
@@ -182,7 +180,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Lets plot the difference of the VQE ground state energies from the ExactEigensolver. They are both in the same ballpark and both very small."
+ "Lets plot the difference of the VQE ground state energies from the NumPyMinimumEigensolver. They are both in the same ballpark and both very small."
]
},
{
@@ -192,7 +190,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -227,7 +225,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -256,10 +254,10 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Total evaluations for 'VQE Random Seed' = 8074\n",
- "Total evaluations for 'VQE + Initial Point' = 7707\n",
+ "Total evaluations for 'VQE Random Seed' = 7796\n",
+ "Total evaluations for 'VQE + Initial Point' = 7936\n",
"\n",
- "Total evaluations for 'VQE + Initial Point' are 95.45% of 'VQE Random Seed'\n"
+ "Total evaluations for 'VQE + Initial Point' are 101.80% of 'VQE Random Seed'\n"
]
}
],
@@ -270,13 +268,6 @@
"percent = np.sum(eval_counts[1])*100/np.sum(eval_counts[0])\n",
"print(\"\\nTotal evaluations for '{}' are {:.2f}% of '{}'\".format(titles[1], percent, titles[0]))"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
diff --git a/chemistry/h2_vqe_spsa.ipynb b/chemistry/h2_vqe_spsa.ipynb
index ff21536..8c0f8e8 100644
--- a/chemistry/h2_vqe_spsa.ipynb
+++ b/chemistry/h2_vqe_spsa.ipynb
@@ -6,7 +6,7 @@
"source": [
"## _*H2 ground state energy with VQE and SPSA*_\n",
"\n",
- "This notebook demonstrates using Qiskit Chemistry to plot graphs of the ground state energy of the Hydrogen (H2) molecule over a range of inter-atomic distances using VQE with SPSA optimizer. It is compared to the same energies as computed by the ExactEigensolver. SPSA is designed to work well with probabalistic/noisy measurements. And with RYRZ variational form makes this a suitable configuration to run on a near term device.\n",
+ "This notebook demonstrates using Qiskit Chemistry to plot graphs of the ground state energy of the Hydrogen (H2) molecule over a range of inter-atomic distances using VQE with SPSA optimizer. It is compared to the same energies as computed by the NumPyMinimumEigensolver. SPSA is designed to work well with probabalistic/noisy measurements. And with TwoLocal makes this a suitable configuration to run on a near term device.\n",
"\n",
"This notebook has been written to use the PYSCF chemistry driver."
]
@@ -20,15 +20,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Couldn't find cython int routine\n",
- "Couldn't find cython int routine\n",
"Processing step 20 --- complete\n",
"Distances: [0.5 0.525 0.55 0.575 0.6 0.625 0.65 0.675 0.7 0.725 0.75 0.775\n",
" 0.8 0.825 0.85 0.875 0.9 0.925 0.95 0.975 1. ]\n",
- "Energies: [[-1.06086904 -1.07823595 -1.08939864 -1.10845548 -1.12428718 -1.13013638\n",
- " -1.13859574 -1.13654965 -1.13892688 -1.13872716 -1.13571941 -1.14315925\n",
- " -1.13378843 -1.13130389 -1.12723816 -1.12263038 -1.11777674 -1.1172618\n",
- " -1.11107348 -1.10808027 -1.10143207]\n",
+ "Energies: [[-1.05829268 -1.08180075 -1.09793729 -1.1138453 -1.11814995 -1.13218731\n",
+ " -1.13825136 -1.13598473 -1.13927649 -1.13977132 -1.13627134 -1.13358835\n",
+ " -1.13483392 -1.13233099 -1.1265055 -1.1248459 -1.12186936 -1.11861696\n",
+ " -1.1135186 -1.10743771 -1.1019722 ]\n",
" [-1.05515979 -1.07591366 -1.09262991 -1.10591805 -1.11628601 -1.12416092\n",
" -1.12990478 -1.13382622 -1.13618945 -1.13722138 -1.13711707 -1.13604436\n",
" -1.13414767 -1.13155121 -1.12836188 -1.12467175 -1.12056028 -1.11609624\n",
@@ -45,15 +43,15 @@
"import pylab\n",
"from qiskit import BasicAer\n",
"from qiskit.aqua import aqua_globals, QuantumInstance\n",
- "from qiskit.aqua.algorithms import ExactEigensolver, VQE\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver, VQE\n",
"from qiskit.aqua.components.optimizers import SPSA\n",
- "from qiskit.aqua.components.variational_forms import RYRZ\n",
+ "from qiskit.circuit.library import TwoLocal\n",
"from qiskit.chemistry.drivers import PySCFDriver\n",
"from qiskit.chemistry.core import Hamiltonian, QubitMappingType, TransformationType\n",
"\n",
"molecule = 'H .0 .0 -{0}; H .0 .0 {0}'\n",
"algorithms = [{'name': 'VQE'},\n",
- " {'name': 'ExactEigensolver'}\n",
+ " {'name': 'NumPyMinimumEigensolver'}\n",
" ]\n",
"\n",
"start = 0.5 # Start distance\n",
@@ -77,18 +75,18 @@
" qubit_op, aux_ops = operator.run(qmolecule)\n",
" if algorithms[j]['name'] == 'VQE':\n",
" optimizer = SPSA(max_trials=200)\n",
- " var_form = RYRZ(qubit_op.num_qubits, depth=3, entanglement='full')\n",
+ " var_form = TwoLocal(qubit_op.num_qubits, ['ry', 'rz'], 'cz', reps=3)\n",
" algo = VQE(qubit_op, var_form, optimizer)\n",
" result = algo.run(QuantumInstance(BasicAer.get_backend('qasm_simulator'),\n",
" seed_simulator=aqua_globals.random_seed,\n",
" seed_transpiler=aqua_globals.random_seed,\n",
" shots=1024))\n",
" else:\n",
- " result = ExactEigensolver(qubit_op).run()\n",
+ " result = NumPyMinimumEigensolver(qubit_op).run()\n",
" \n",
- " lines, result = operator.process_algorithm_result(result)\n",
- " energies[j][i] = result['energy']\n",
- " hf_energies[i] = result['hf_energy']\n",
+ " result = operator.process_algorithm_result(result)\n",
+ " energies[j][i] = result.energy\n",
+ " hf_energies[i] = result.hartree_fock_energy\n",
" distances[i] = d\n",
"print(' --- complete')\n",
"\n",
@@ -106,7 +104,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -134,7 +132,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
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\n",
"text/plain": [
""
]
@@ -150,7 +148,7 @@
"pylab.plot(distances, np.subtract(energies[0], energies[1]), label=algorithms[0])\n",
"pylab.xlabel('Interatomic distance (Angstrom)')\n",
"pylab.ylabel('Energy (Hartree)')\n",
- "pylab.title('Energy difference from ExactEigensolver')\n",
+ "pylab.title('Energy difference from NumPyMinimumEigensolver')\n",
"pylab.legend(loc='upper left');"
]
},
diff --git a/chemistry/h2o.ipynb b/chemistry/h2o.ipynb
index 7788533..455d32b 100644
--- a/chemistry/h2o.ipynb
+++ b/chemistry/h2o.ipynb
@@ -21,22 +21,12 @@
"cell_type": "code",
"execution_count": 1,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Couldn't find cython int routine\n",
- "Couldn't find cython int routine\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"from qiskit import BasicAer\n",
"\n",
"from qiskit.aqua import QuantumInstance\n",
- "from qiskit.aqua.algorithms.adaptive import VQE\n",
- "from qiskit.aqua.algorithms.classical import ExactEigensolver\n",
+ "from qiskit.aqua.algorithms import VQE, NumPyMinimumEigensolver\n",
"from qiskit.aqua.components.optimizers import SLSQP\n",
"\n",
"from qiskit.chemistry.drivers import PySCFDriver, UnitsType\n",
@@ -101,7 +91,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Representation: paulis, qubits: 10, size: 551\n"
+ "Electronic Hamiltonian: Representation: paulis, qubits: 10, size: 551\n"
]
}
],
@@ -117,7 +107,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We now pass these to the ExactEigensolver and run it to produce a result. This result will include the computed electronic part of the ground state energy. We can pass this result back to the Hamiltonian object from above and it will combine it with values it stored such as the frozen core energy to form a complete result for the molecule. As can be seen this matches the result from above.\n",
+ "We now pass these to the NumPyMinimumEigensolver and run it to produce a result. This result will include the computed electronic part of the ground state energy. We can pass this result back to the Hamiltonian object from above and it will combine it with values it stored such as the frozen core energy to form a complete result for the molecule. As can be seen this matches the result from above.\n",
"\n",
"Note: the num particles printed here is that which is observed from the spin operator that is in the aux_ops. It says 8 which matches what we expect; the molecule has 10 (5 alpha and 5 beta) but the operator was left with 8 after we took away 2 from freezing the core. The molecule has a core_orbitals property which lists the orbitals comprising the core ones that can be frozen so we can easily figure how many electrons that is (2 per orbital in that list)."
]
@@ -139,7 +129,7 @@
" - particle hole part: 0.0\n",
"~ Nuclear repulsion energy (Hartree): 9.193913160623\n",
"> Total ground state energy (Hartree): -75.012359285805\n",
- " Measured:: Num particles: 8.000, S: 0.000, M: 0.00000\n",
+ " Measured:: # Particles: 8.000 S: 0.000 S^2: 0.000 M: 0.00000\n",
" \n",
"=== DIPOLE MOMENT ===\n",
" \n",
@@ -154,11 +144,10 @@
}
],
"source": [
- "ee = ExactEigensolver(qubit_op, aux_operators=aux_ops)\n",
+ "ee = NumPyMinimumEigensolver(qubit_op, aux_operators=aux_ops)\n",
"algo_result = ee.run()\n",
"result = core.process_algorithm_result(algo_result)\n",
- "for line in result[0]:\n",
- " print(line)"
+ "print(result)"
]
},
{
@@ -183,28 +172,26 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Ground state energy: -75.01225859170299\n",
+ "Ground state energy: -75.01225859234138\n",
"=== GROUND STATE ENERGY ===\n",
" \n",
- "* Electronic ground state energy (Hartree): -84.206171752326\n",
- " - computed part: -23.544396546334\n",
+ "* Electronic ground state energy (Hartree): -84.206171752965\n",
+ " - computed part: -23.544396546972\n",
" - frozen energy part: -60.661775205992\n",
" - particle hole part: 0.0\n",
"~ Nuclear repulsion energy (Hartree): 9.193913160623\n",
- "> Total ground state energy (Hartree): -75.012258591703\n"
+ "> Total ground state energy (Hartree): -75.012258592341\n",
+ "Actual VQE evaluations taken: 666\n"
]
}
],
"source": [
- "init_state = HartreeFock(num_qubits=qubit_op.num_qubits, \n",
- " num_orbitals=core._molecule_info['num_orbitals'],\n",
+ "init_state = HartreeFock(num_orbitals=core._molecule_info['num_orbitals'],\n",
" num_particles=core._molecule_info['num_particles'],\n",
" qubit_mapping=core._qubit_mapping,\n",
" two_qubit_reduction=core._two_qubit_reduction)\n",
"\n",
- "var_form = UCCSD(num_qubits=qubit_op.num_qubits,\n",
- " depth=1,\n",
- " num_orbitals=core._molecule_info['num_orbitals'], \n",
+ "var_form = UCCSD(num_orbitals=core._molecule_info['num_orbitals'], \n",
" num_particles=core._molecule_info['num_particles'],\n",
" qubit_mapping=core._qubit_mapping,\n",
" two_qubit_reduction=core._two_qubit_reduction, \n",
@@ -218,39 +205,11 @@
"\n",
"vqe = VQE(qubit_op, var_form, optimizer)\n",
"algo_result = vqe.run(quantum_instance)\n",
- "lines, result = core.process_algorithm_result(algo_result)\n",
- "\n",
- "print('Ground state energy: {}'.format(result['energy']))\n",
- "\n",
- "for line in lines:\n",
- " print(line)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Internally the core, when processing the algorithm result, stores the result dictionary from the algorithm under the `algorithm_retvals` key. We used this above to get the eval count, and since we process the result the same way here, using the core, we can do this here too. But here we have direct access to the algorithm result since we ran it. Hence we can access the count directly from the above algo_result. To show these are the same they are both printed below."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Actual VQE evaluations taken: 666\n",
- "Actual VQE evaluations taken: 666\n"
- ]
- }
- ],
- "source": [
- "print('Actual VQE evaluations taken: {}'.format(result['algorithm_retvals']['eval_count']))\n",
+ "result = core.process_algorithm_result(algo_result)\n",
"\n",
- "print('Actual VQE evaluations taken: {}'.format(algo_result['eval_count']))"
+ "print('Ground state energy: {}'.format(result.energy))\n",
+ "print(result)\n",
+ "print('Actual VQE evaluations taken: {}'.format(algo_result.optimizer_evals))"
]
},
{
@@ -259,12 +218,12 @@
"source": [
"#### Z-matrix format\n",
"\n",
- "Z-matrix was mentioned in the introduction. Lets show it in use in a quick final example here. We'll use ExactEigensolver as the goal here is just to show the technique. We will keep the bond angle between the Hydrogen atoms and Oxygen constant while varying the interatomic distance of one the Hydrogen atoms. This is simple to do in Z-matrix format, though can of course be done using xyz format but that needs more work to compute the coordinates each time."
+ "Z-matrix was mentioned in the introduction. Lets show it in use in a quick final example here. We'll use NumPyMinimumEigensolver as the goal here is just to show the technique. We will keep the bond angle between the Hydrogen atoms and Oxygen constant while varying the interatomic distance of one the Hydrogen atoms. This is simple to do in Z-matrix format, though can of course be done using xyz format but that needs more work to compute the coordinates each time."
]
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
@@ -281,14 +240,14 @@
" qmolecule = driver.run()\n",
" operator = Hamiltonian(freeze_core=True)\n",
" qubit_op, aux_ops = operator.run(qmolecule)\n",
- " result = ExactEigensolver(qubit_op).run()\n",
- " lines, result = operator.process_algorithm_result(result)\n",
- " energies[i] = result['energy']"
+ " result = NumPyMinimumEigensolver(qubit_op).run()\n",
+ " result = operator.process_algorithm_result(result)\n",
+ " energies[i] = result.energy"
]
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 7,
"metadata": {},
"outputs": [
{
diff --git a/chemistry/hdf5_files_and_driver.ipynb b/chemistry/hdf5_files_and_driver.ipynb
index 1c034e9..9f6a73f 100644
--- a/chemistry/hdf5_files_and_driver.ipynb
+++ b/chemistry/hdf5_files_and_driver.ipynb
@@ -41,8 +41,6 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Couldn't find cython int routine\n",
- "Couldn't find cython int routine\n",
"Number of orbitals: 2\n",
"Number of alpha electrons: 2\n",
"Number of beta electrons: 2\n"
@@ -82,16 +80,16 @@
],
"source": [
"from qiskit.chemistry.core import Hamiltonian, TransformationType, QubitMappingType \n",
- "from qiskit.aqua.algorithms.classical import ExactEigensolver\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver\n",
"\n",
"core = Hamiltonian(transformation=TransformationType.FULL, qubit_mapping=QubitMappingType.PARITY, \n",
" two_qubit_reduction=True)\n",
"qubit_op, aux_ops = core.run(molecule)\n",
"\n",
- "ee = ExactEigensolver(qubit_op, aux_operators=aux_ops)\n",
+ "ee = NumPyMinimumEigensolver(qubit_op, aux_operators=aux_ops)\n",
"result = ee.run()\n",
"\n",
- "print(result['energy'])"
+ "print(result.eigenvalue.real)"
]
},
{
@@ -115,7 +113,7 @@
}
],
"source": [
- "print(result['energy'] + molecule.nuclear_repulsion_energy)"
+ "print(result.eigenvalue.real + molecule.nuclear_repulsion_energy)"
]
},
{
@@ -142,7 +140,7 @@
" - particle hole part: 0.0\n",
"~ Nuclear repulsion energy (Hartree): 0.719968991279\n",
"> Total ground state energy (Hartree): -1.137306035753\n",
- " Measured:: Num particles: 2.000, S: 0.000, M: 0.00000\n",
+ " Measured:: # Particles: 2.000 S: 0.000 S^2: 0.000 M: 0.00000\n",
" \n",
"=== DIPOLE MOMENT ===\n",
" \n",
@@ -157,8 +155,8 @@
}
],
"source": [
- "lines, full_result = core.process_algorithm_result(result)\n",
- "print(*lines, sep='\\n')"
+ "full_result = core.process_algorithm_result(result)\n",
+ "print(full_result)"
]
},
{
@@ -215,7 +213,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "/var/folders/ln/qtvvmkp97n9dvwtwgmcrrmkh0000gn/T/tmp7ech31d7.hdf5 : 21768 bytes\n"
+ "/var/folders/ln/qtvvmkp97n9dvwtwgmcrrmkh0000gn/T/tmp70037kfh.hdf5 : 21768 bytes\n"
]
}
],
diff --git a/chemistry/lih_dissoc.ipynb b/chemistry/lih_dissoc.ipynb
index 2a9470e..b02dda6 100644
--- a/chemistry/lih_dissoc.ipynb
+++ b/chemistry/lih_dissoc.ipynb
@@ -6,7 +6,7 @@
"collapsed": true
},
"source": [
- "## _*LiH dissociation curve using ExactEigensolver*_\n",
+ "## _*LiH dissociation curve using NumPyMinimumEigensolver*_\n",
"\n",
"This notebook demonstrates using Qiskit Chemistry to plot graphs of the ground state energy and dipole moments of a Lithium Hydride (LiH) molecule over a range of inter-atomic distances.\n",
"\n",
@@ -17,24 +17,15 @@
"cell_type": "code",
"execution_count": 1,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Couldn't find cython int routine\n",
- "Couldn't find cython int routine\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"import numpy as np\n",
"import pylab\n",
"from qiskit import BasicAer\n",
"from qiskit.aqua import QuantumInstance\n",
- "from qiskit.aqua.algorithms import ExactEigensolver, VQE\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver, VQE\n",
"from qiskit.aqua.components.optimizers import COBYLA\n",
- "from qiskit.aqua.components.variational_forms import RYRZ\n",
+ "from qiskit.circuit.library import TwoLocal\n",
"from qiskit.chemistry.drivers import PySCFDriver\n",
"from qiskit.chemistry.core import Hamiltonian, QubitMappingType"
]
@@ -59,8 +50,8 @@
"metadata": {},
"outputs": [],
"source": [
- "# choose 'ExactEigensolver' or 'VQE' for experiments\n",
- "algorithm = 'ExactEigensolver'"
+ "# choose 'NumPyMinimumEigensolver' or 'VQE' for experiments\n",
+ "algorithm = 'NumPyMinimumEigensolver'"
]
},
{
@@ -108,19 +99,19 @@
" operator = Hamiltonian(qubit_mapping=QubitMappingType.PARITY, two_qubit_reduction=True,\n",
" freeze_core=True, orbital_reduction=[-3, -2])\n",
" qubit_op, aux_ops = operator.run(qmolecule)\n",
- " if algorithm == 'ExactEigensolver':\n",
- " result = ExactEigensolver(qubit_op, aux_operators=aux_ops).run()\n",
+ " if algorithm == 'NumPyMinimumEigensolver':\n",
+ " result = NumPyMinimumEigensolver(qubit_op, aux_operators=aux_ops).run()\n",
" else:\n",
" optimizer = COBYLA(maxiter=20000)\n",
- " var_form = RYRZ(qubit_op.num_qubits, depth=10)\n",
+ " var_form = TwoLocal(qubit_op.num_qubits, ['ry', 'rz'], 'cz', reps=10)\n",
" algo = VQE(qubit_op, var_form, optimizer, aux_operators=aux_ops)\n",
" result = algo.run(QuantumInstance(BasicAer.get_backend('statevector_simulator')))\n",
" \n",
- " lines, result = operator.process_algorithm_result(result)\n",
+ " result = operator.process_algorithm_result(result)\n",
" distances[i] = d\n",
- " hf_energies[i] = result['hf_energy']\n",
- " energies[i] = result['energy']\n",
- " dipoles[i] = result['total_dipole_moment'] / 0.393430307\n",
+ " hf_energies[i] = result.hartree_fock_energy\n",
+ " energies[i] = result.energy\n",
+ " dipoles[i] = result.total_dipole_moment / 0.393430307\n",
"print(' --- complete')\n",
"\n",
"print('Distances: ', distances)\n",
@@ -182,13 +173,6 @@
"pylab.ylabel('Moment debye')\n",
"pylab.title('LiH Dipole Moment');"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
diff --git a/chemistry/lih_uccsd.ipynb b/chemistry/lih_uccsd.ipynb
index bd3faad..a849f28 100644
--- a/chemistry/lih_uccsd.ipynb
+++ b/chemistry/lih_uccsd.ipynb
@@ -6,7 +6,7 @@
"source": [
"## _*LiH dissociation curve using VQE with UCCSD variational form*_\n",
"\n",
- "This notebook demonstrates using Qiskit Chemistry to plot graphs of the ground state energy of the Lithium Hydride (LiH) molecule over a range of inter-atomic distances using VQE and UCCSD. It is compared to the same energies as computed by the ExactEigensolver\n",
+ "This notebook demonstrates using Qiskit Chemistry to plot graphs of the ground state energy of the Lithium Hydride (LiH) molecule over a range of inter-atomic distances using VQE and UCCSD. It is compared to the same energies as computed by the NumPyMinimumEigensolver\n",
"\n",
"This notebook has been written to use the PYSCF chemistry driver."
]
@@ -22,8 +22,6 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Couldn't find cython int routine\n",
- "Couldn't find cython int routine\n",
"Processing step 22 --- complete\n",
"Distances: [0.6 0.7 0.8 0.9 1. 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9\n",
" 2. 2.25 2.5 2.75 3. 3.25 3.5 3.75 4. ]\n",
@@ -50,7 +48,7 @@
"import copy\n",
"from qiskit import BasicAer\n",
"from qiskit.aqua import aqua_globals, QuantumInstance\n",
- "from qiskit.aqua.algorithms import ExactEigensolver, VQE\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver, VQE\n",
"from qiskit.aqua.components.optimizers import SLSQP\n",
"from qiskit.chemistry.components.initial_states import HartreeFock\n",
"from qiskit.chemistry.components.variational_forms import UCCSD\n",
@@ -58,7 +56,7 @@
"from qiskit.chemistry.core import Hamiltonian, QubitMappingType\n",
"\n",
"molecule = 'H .0 .0 -{0}; Li .0 .0 {0}'\n",
- "algorithms = ['VQE', 'ExactEigensolver']\n",
+ "algorithms = ['VQE', 'NumPyMinimumEigensolver']\n",
"\n",
"pts = [x * 0.1 for x in range(6, 20)]\n",
"pts += [x * 0.25 for x in range(8, 16)]\n",
@@ -79,30 +77,28 @@
" two_qubit_reduction=True, freeze_core=True,\n",
" orbital_reduction=[-3, -2])\n",
" qubit_op, aux_ops = operator.run(qmolecule)\n",
- " if algorithms[j] == 'ExactEigensolver':\n",
- " result = ExactEigensolver(qubit_op, aux_operators=aux_ops).run()\n",
+ " if algorithms[j] == 'NumPyMinimumEigensolver':\n",
+ " result = NumPyMinimumEigensolver(qubit_op, aux_operators=aux_ops).run()\n",
" else:\n",
" optimizer = SLSQP(maxiter=1000)\n",
- " initial_state = HartreeFock(qubit_op.num_qubits,\n",
- " operator.molecule_info['num_orbitals'],\n",
+ " initial_state = HartreeFock(operator.molecule_info['num_orbitals'],\n",
" operator.molecule_info['num_particles'],\n",
" qubit_mapping=operator._qubit_mapping,\n",
" two_qubit_reduction=operator._two_qubit_reduction)\n",
- " var_form = UCCSD(qubit_op.num_qubits, depth=1,\n",
- " num_orbitals=operator.molecule_info['num_orbitals'],\n",
+ " var_form = UCCSD(num_orbitals=operator.molecule_info['num_orbitals'],\n",
" num_particles=operator.molecule_info['num_particles'],\n",
" initial_state=initial_state,\n",
" qubit_mapping=operator._qubit_mapping,\n",
" two_qubit_reduction=operator._two_qubit_reduction)\n",
" algo = VQE(qubit_op, var_form, optimizer, aux_operators=aux_ops)\n",
" result = algo.run(QuantumInstance(BasicAer.get_backend('statevector_simulator')))\n",
+ " eval_counts[i] = result.optimizer_evals\n",
" \n",
- " lines, result = operator.process_algorithm_result(result)\n",
- " energies[j][i] = result['energy']\n",
- " hf_energies[i] = result['hf_energy']\n",
- " dipoles[j][i] = result['total_dipole_moment'] / 0.393430307\n",
- " if algorithms[j] == 'VQE':\n",
- " eval_counts[i] = result['algorithm_retvals']['eval_count']\n",
+ " result = operator.process_algorithm_result(result)\n",
+ " energies[j][i] = result.energy\n",
+ " hf_energies[i] = result.hartree_fock_energy\n",
+ " dipoles[j][i] = result.total_dipole_moment / 0.393430307\n",
+ "\n",
" distances[i] = d\n",
"print(' --- complete')\n",
"\n",
@@ -121,7 +117,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -149,7 +145,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -165,7 +161,7 @@
"pylab.plot(distances, np.subtract(energies[0], energies[1]), label='VQE')\n",
"pylab.xlabel('Interatomic distance')\n",
"pylab.ylabel('Energy')\n",
- "pylab.title('Energy difference from ExactEigensolver')\n",
+ "pylab.title('Energy difference from NumPyMinimumEigensolver')\n",
"pylab.legend(loc='upper left');"
]
},
@@ -176,7 +172,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
diff --git a/chemistry/nah_uccsd.ipynb b/chemistry/nah_uccsd.ipynb
index 2f8f71f..728abe2 100644
--- a/chemistry/nah_uccsd.ipynb
+++ b/chemistry/nah_uccsd.ipynb
@@ -6,7 +6,7 @@
"source": [
"## _*NaH dissociation curve using VQE with UCCSD*_\n",
"\n",
- "This notebook demonstrates using the Qiskit Chemistry to plot graphs of the ground state energy of the Sodium Hydride (NaH) molecule over a range of inter-atomic distances using VQE and UCCSD. It is compared to the same energies as computed by the ExactEigensolver.\n",
+ "This notebook demonstrates using the Qiskit Chemistry to plot graphs of the ground state energy of the Sodium Hydride (NaH) molecule over a range of inter-atomic distances using VQE and UCCSD. It is compared to the same energies as computed by the NumPyMinimumEigensolver.\n",
"\n",
"_*Note: this molecule is larger than the similar LiH and this notebook can take a while to run.*_\n",
"\n",
@@ -24,15 +24,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Couldn't find cython int routine\n",
- "Couldn't find cython int routine\n",
"Processing step 23 --- complete\n",
"Distances: [1. 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2. 2.1 2.2 2.3\n",
" 2.4 2.5 2.75 3. 3.25 3.5 3.75 4. 4.25 4.5 ]\n",
"Energies: [[-160.05849063 -160.15699836 -160.22568735 -160.27202139 -160.30172252\n",
" -160.31895083 -160.32675432 -160.32741528 -160.32269878 -160.31400273\n",
" -160.30245852 -160.28899051 -160.27435538 -160.2591661 -160.2439109\n",
- " -160.2289718 -160.19475711 -160.16708758 -160.14746338 -160.13627128\n",
+ " -160.22897181 -160.19475711 -160.16708758 -160.14746338 -160.13627128\n",
" -160.13114984 -160.12788151 -160.12587996 -160.06078205]\n",
" [-160.05849084 -160.15699856 -160.22568741 -160.2720216 -160.30172261\n",
" -160.31895199 -160.32675458 -160.32741545 -160.32269886 -160.31400297\n",
@@ -44,10 +42,10 @@
" -160.28891892 -160.2751014 -160.26016389 -160.24471683 -160.2292359\n",
" -160.21408033 -160.17913095 -160.14978812 -160.12634274 -160.10810649\n",
" -160.09400858 -160.08298959 -160.07419396 -160.0607817 ]\n",
- "Dipoles: [[ 2.9712507 3.47605445 3.89545948 4.2639109 4.59602663 4.90977834\n",
- " 5.21848637 5.52130615 5.82181186 6.11915256 6.41401465 6.70106671\n",
- " 6.97515329 7.2256675 7.44609276 7.62642371 7.79605622 7.18509339\n",
- " 5.30076607 2.68451945 1.70805574 1.77404779 1.76460808 21.57731571]\n",
+ "Dipoles: [[ 2.97124823 3.4760568 3.89545714 4.26391478 4.59602472 4.90977508\n",
+ " 5.21848513 5.52130626 5.82181283 6.11915437 6.41401666 6.70106732\n",
+ " 6.97515357 7.22566557 7.44609762 7.62641864 7.79601453 7.18510394\n",
+ " 5.30078459 2.68459082 1.70804255 1.7740377 1.76461456 21.57731567]\n",
" [ 2.97335246 3.47789485 3.89561999 4.26006188 4.59374084 4.91025573\n",
" 5.21772576 5.52078168 5.82151088 6.11992744 6.41423476 6.70095324\n",
" 6.97491033 7.22906568 7.45413201 7.63797444 7.80073442 7.19343854\n",
@@ -63,7 +61,7 @@
"import copy\n",
"from qiskit import BasicAer\n",
"from qiskit.aqua import QuantumInstance\n",
- "from qiskit.aqua.algorithms import ExactEigensolver, VQE\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver, VQE\n",
"from qiskit.aqua.components.optimizers import SLSQP\n",
"from qiskit.chemistry.components.initial_states import HartreeFock\n",
"from qiskit.chemistry.components.variational_forms import UCCSD\n",
@@ -71,7 +69,7 @@
"from qiskit.chemistry.core import Hamiltonian, QubitMappingType\n",
"\n",
"molecule = 'H .0 .0 -{0}; Na .0 .0 {0}'\n",
- "algorithms = ['VQE', 'ExactEigensolver']\n",
+ "algorithms = ['VQE', 'NumPyMinimumEigensolver']\n",
"\n",
"pts = [x * 0.1 for x in range(10, 25)]\n",
"pts += [x * 0.25 for x in range(10, 18)]\n",
@@ -92,30 +90,28 @@
" two_qubit_reduction=True,\n",
" freeze_core=True, orbital_reduction=[])\n",
" qubit_op, aux_ops = operator.run(qmolecule)\n",
- " if algorithms[j] == 'ExactEigensolver':\n",
- " result = ExactEigensolver(qubit_op, aux_operators=aux_ops).run()\n",
+ " if algorithms[j] == 'NumPyMinimumEigensolver':\n",
+ " result = NumPyMinimumEigensolver(qubit_op, aux_operators=aux_ops).run()\n",
" else:\n",
" optimizer = SLSQP(maxiter=2500)\n",
- " initial_state = HartreeFock(qubit_op.num_qubits,\n",
- " operator.molecule_info['num_orbitals'],\n",
+ " initial_state = HartreeFock(operator.molecule_info['num_orbitals'],\n",
" operator.molecule_info['num_particles'],\n",
" qubit_mapping=operator._qubit_mapping,\n",
" two_qubit_reduction=operator._two_qubit_reduction)\n",
- " var_form = UCCSD(qubit_op.num_qubits, depth=1,\n",
- " num_orbitals=operator.molecule_info['num_orbitals'],\n",
+ " var_form = UCCSD(num_orbitals=operator.molecule_info['num_orbitals'],\n",
" num_particles=operator.molecule_info['num_particles'],\n",
" initial_state=initial_state,\n",
" qubit_mapping=operator._qubit_mapping,\n",
" two_qubit_reduction=operator._two_qubit_reduction)\n",
" algo = VQE(qubit_op, var_form, optimizer, aux_operators=aux_ops)\n",
" result = algo.run(QuantumInstance(BasicAer.get_backend('statevector_simulator')))\n",
+ " eval_counts[i] = result.optimizer_evals\n",
" \n",
- " lines, result = operator.process_algorithm_result(result)\n",
- " energies[j][i] = result['energy']\n",
- " hf_energies[i] = result['hf_energy']\n",
- " dipoles[j][i] = result['total_dipole_moment'] / 0.393430307\n",
- " if algorithms[j] == 'VQE':\n",
- " eval_counts[i] = result['algorithm_retvals']['eval_count']\n",
+ " result = operator.process_algorithm_result(result)\n",
+ " energies[j][i] = result.energy\n",
+ " hf_energies[i] = result.hartree_fock_energy\n",
+ " dipoles[j][i] = result.total_dipole_moment / 0.393430307\n",
+ "\n",
" distances[i] = d\n",
"print(' --- complete')\n",
"\n",
@@ -133,7 +129,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -161,7 +157,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -177,7 +173,7 @@
"pylab.plot(distances, np.subtract(energies[0], energies[1]), label='VQE')\n",
"pylab.xlabel('Interatomic distance')\n",
"pylab.ylabel('Energy')\n",
- "pylab.title('Energy difference from ExactEigensolver')\n",
+ "pylab.title('Energy difference from NumPyMinimumEigensolver')\n",
"pylab.legend(loc='upper left');"
]
},
@@ -188,7 +184,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
diff --git a/finance/simulation/iron_condor.ipynb b/finance/simulation/iron_condor.ipynb
index 67e300a..8745093 100644
--- a/finance/simulation/iron_condor.ipynb
+++ b/finance/simulation/iron_condor.ipynb
@@ -111,7 +111,7 @@
"outputs": [
{
"data": {
- "image/png": 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lbRoRj2Tlx2TxfjQilgA3SHodcKKkH0ZENBGjmZn1g1Yvwb0f2DQivtZL8iEi/h4RzXRI2BO4ppBoJpKS0s697P/fNYr/lP3coLD/S7Pkk9//a0mXDc3MrCStJqCRpGkYViBpI0kntLi/rYHp+YKIeBSYn61rxbuAZaQ2KSStCWxS3D9pLqOeY5uZWUlaTUAnks4eanlNtr4VQ4E5NcpnZ+uaImlD4CvAT3JnU+tkP4v7n507tpmZlaTVNiAB9dpNXstLH+6tqLW/3o6zfEVpNeBXwFzgC03uv265pMNIHSsYNmwYkydPbiaMfjF37txSj19PVeOC/ovtqO2WNK7UwLBB7e+n+NyqGlenDMT3WruqGlctDROQpJ5eb5A+tL8nqdg5YA1gO+DaFo8/m5fOVPKGUPvMqBibSN293wTsGBH5BNizfXH/QwvrlxMR40mjPTBy5MgYPXp0ozD6zeTJkynz+PVUNS7ov9gOPu7Ktvdx1HZLOHNqe7fHzTxo9HLLVY2rUwbie61dVY2rlmbedfOBp7PfBTwLPFOo8wJwNXB+i8efTqEtRtImpKm+i203tZxN6r793ogotiXNk/SP4v5zy83s38zM+knDBBQRvybdXIqki4CTeusB16KrgWMkrRURz2dlY4EFwE29bSjpy8DngAMj4pZe9v8BSV+NiKW5/f8D+Fvb0ZuZWZ+1OhbcIR1MPgAXAIuASyXtlrW/jAPOynfNzkY8+GFu+SPAN0mX32ZJ2iH3WD+3/zNIbVM/kTRG0rHAp0lJ1PcAmZmVqNTx2iJitqRdgfOAy0ntMmeTklDeqkB+eJ7ds58HZ4+8Q0g3yhIRMyS9DziLdDb0L+Aoj4JgZla+Zjoh3AUcHBHTJN1Ng95pEfGOVgKIiGnALg3qDC8sH8yKiafetreQhuAxM7MKaeYM6F5Sm0zP7750ZWZmbWumE8Ihud8P7tdozMxswOjzdAxmZmbtaKYNqGG7T16rbUBmZjYwNdsG5HYfMzPrqGbagA7uQhxmZjbAuA3IzMxKUfp9QGZmNjD5PiAzMyuF7wMyM7NStDwWXDYB3MGk4W02Av4J3An8OCJe6Gh0Zma20mqpE4KkNwIPAN8FtgWWZj+/C8yQtE3HIzQzs5VSq2dA40kT0r07Ih7tKZT0OuBK0vQK7+lceGZmtrJqNQGNBD6cTz4AEfGopBOAn3csMhtwhndoeul2p6meeerebcdhZo21eh/QTGCNOuvWAB6ts87MzGw5rSag44BvSHpnvlDSDsBJwJc6FZiZma3c+jIY6drAbZKeBJ4ENsgeTwPHA5f1Q5xmZraS6ctgpPf2UyxmZjaAlD4YadZ1+1xgFDAHuBD4ekQs7WWb1YBTgB1IHSPWiAjVqDcB+HiNXbwxIqa3H72ZmfVVyzeidpKkocB1wDRgH2AL4ExS29RXe9n0VcAngbuA24Bdeqk7HTikUDazbxGbmVmnlJqAgMOBQcB+EfEcMEnS2sA4SadnZSuIiDmSXh0RIekIek9A8yLijs6HbmZm7Wh5OgZJYyVdJ+lRSU8WHy3ubk/gmkKimUhKSjv3tmFEeFBUM7OXsVaH4vkI8GNgBvBa4HfAFdl+ngPOa/H4W5Mukb0ou8l1frauE7aR9JykRZJukdRrYjMzs+5QKycSkv4E/AY4FVgMjIyIP0paC5gE/CYivt3C/hYDx0TEdwrljwEXR8TxTezjCODcOp0QPg+8QGpjWh84ChgB7BQRd9XZ32HAYQDDhg0bMXHixGafTsfNnTuXwYMHl3b8evorrqmznm17H8MGwRMLGtfrzXYbD1mhrKqxVTWuTqnq/wBUN7ay4xozZsyUiBjZTN1W24C2BG6NiKWSlpLuCSIinpd0GnA20HQCytTKgKpT3tqOI85ZbqfSlaRkdDywb51txpPGvGPkyJExevTodsPos8mTJ1Pm8evpr7jaHUIH0lA8Z05tr2lz5kGjVyiramxVjatTqvo/ANWNrapx1dJqG9CzwOrZ77OAN+bWCVi3xf3NBtapUT6E1CW7oyJiAXAV8LZO79vMzFrT6teee4A3A9eQ2n9OkLSEdJnrBNK8QK2YTqGtR9ImwJoU2oY6zB0YzMxK1moC+hawafb7Cdnv5wOrAHeTtZ204GrgGElrRcTzWdlY0hTgN7W4r4YkDSL1vJvS6X2bmVlrWkpA2f00d2S/zwH2kbQ6sHq9e3YauAA4Erg0a0PaHBgHnJXfn6QZwE0RcWiubE/SmdL22fIHs1V3R8QjkoaQeuj9lNRrbz3gC8DGwIF9iNXMzDqoY1NyS2p5Su6ImC1pV1L37ctJ7T5nk5JQMc5VCmXf46WzMYBfZz8PASYAi4B/k0ZU2ABYCNwO7BwR97QSp5mZdV5LCSibkvv3wGtIl7GeJE3J/V/A1yS9LyKmtbLPrH5vIxkQEcObKSusXwjs10osZmbWPZ6S28zMStFqN+yRwAm1puQmdUp4e6cCMzOzlZun5DYzs1K0egnuOOBMSQ9HxIv3/OSm5D6mk8GZ2cvX8A6N0tDuaA8zT9277Tisf3hKbjMzK4Wn5DYzs1KUPiW3mZkNTH0aAlfSa4BRwKtJl97uiIjHOxmYmZmt3Fq9EXUV4FzgUyw/MsFSSeOBz0XEsg7GZ2ZmK6lWu2F/HfgEqbPBcNLU2cOz5U+w4hA6ZmZmNbV6Ce6/gK8WZj19FDhDUpAGFj2hU8GZmdnKq9UzoA2Av9ZZ99dsvZmZWUOtJqC/Ax+qs+5DwP3thWNmZgNFq5fgvgFMzAYf/Q3wBOms5wBgDPWTk5mZ2XJanZDuV5LmkDojnAO8ElhMmprhfRExqfMhmpnZyqjpBCTplaRJ6P4WEaMkvYI0y+hT7nptZmataqUNaClwA/BGgIhYFhFPOvmYmVlfNJ2AskTzADCskwFI2kbS9ZLmS3pc0knZDa+9bbOapDMk/UHSgqwLeL26+0iaKmmhpGmSxnYyfjMz65tWe8F9BThB0nadOLikocB1pMFO9yFN6XAUqY2pN68CPgnMB27rZf87AZcANwJ7kmZt/YWk3dsO3szM2tJqL7ivAusCf5Y0i9QLbrmzj4h4Rwv7O5w0msJ+EfEcMEnS2sA4SadnZSuIiDmSXh0RIekIYJc6+/8acHNEHJkt3yjpTaSbZa9tIU4zM+uwVhPQvcDfOnj8PYFrColmInAasDNweb0NI6LuZTcASauTuoYfWVg1EbhI0pCIeLZPUZuZWdta7YZ9cIePvzWpY0P+GI9Kmp+tq5uAmrAFqZv49EL5faRLj28A7m5j/2Zm1oamEpCkQcBepIFH/wlcHxFPdOD4Q4E5NcpnZ+va3Tc19j+7sN7MzEqgBleykLQ5qaPA8Fzxc8CBEdFWO4qkxcDREXFOoXwWMCEivtLEPo4Azo0IFcp3BG4Bto+Iv+TKtyQNKbR7rRtnJR0GHAYwbNiwERMnTmz9iXXI3LlzGTx4cGnHr6e/4po6q/0rosMGwRML2tvHdhsPWaGsqrFVNS6odmydMND+P5s1ZsyYKRExspm6zZwBnQ4sA95NGvFgM+B84PvZ7+2YDaxTo3wItc+MWt03Nfbfs1xz/xExHhgPMHLkyBg9enSbYfTd5MmTKfP49fRXXAcfd2Xb+zhquyWcObVP8yy+aOZBo1coq2psVY0Lqh1bJwy0/8/+0Ew37FGkKRhujYiFEXEf8GngdZI2avP400ltPS+StAmwJiu23bTqQdIwQVsXyrcmJdS/t7l/MzNrQzMJaCPgoULZg4CADds8/tXAHpLWypWNBRYAN7Wz44hYRLr/54DCqrHA7e4BZ2ZWrmbPbXtvKOq7C0jdpC+VdBqwOWlW1bPyXbMlzQBuiohDc2V7ks6Uts+WP5itujsiHsl+PxmYLOk7wGWkjhR7Ae/rp+djZmZNajYBXSNpSY3y64vlEdH0pHQRMVvSrsB5pC7Xc4CzWXFq71WB4vA83wM2zS3/Ovt5CDAh2/8tWWL6BvAZ4GHgI+12njAzs/Y1k4AaDYvTloiYRv2RDHrqDG+mrM62l5HOfszMrEIaJqCI6NcEZGZmA1Org5GamZl1hBOQmZmVwgnIzMxK4QRkZmalcAIyM7NSOAGZmVkpnIDMzKwUTkBmZlYKJyAzMyuFE5CZmZXCCcjMzErhBGRmZqVwAjIzs1I4AZmZWSmcgMzMrBROQGZmVgonIDMzK0XpCUjSNpKulzRf0uOSTpK0ShPbDZF0kaTZkp6V9DNJ6xbqTJAUNR5b998zMjOzZjSckrs/SRoKXAdMA/YBtgDOJCXGrzbY/JfAVsAngWXAacBlwLsL9aYDhxTKZrYTt5mZta/UBAQcDgwC9ouI54BJktYGxkk6PStbgaRRwB7AzhFxc1Y2C7hT0m4RcV2u+ryIuKN/n4aZmbWq7EtwewLXFBLNRFJS2rnBdk/0JB+AiLgLeDhbZ2ZmFVd2AtqadInsRRHxKDA/W9f0dpn7amy3jaTnJC2SdIuk3hKbmZl1iSKivINLi4FjIuI7hfLHgIsj4vg6200iXVrbt1D+U2DziHhXtvx54AVSG9P6wFHACGCn7Iyp1r4PAw4DGDZs2IiJEye28QzbM3fuXAYPHlza8evpr7imznq27X0MGwRPLGhvH9ttPGSFsqrGVtW4oNqxdcJA+/9s1pgxY6ZExMhm6pbdBgRQKwOqTnlL20XEOcutlK4kJaPjgX2pISLGA+MBRo4cGaNHj24QRv+ZPHkyZR6/nv6K6+Djrmx7H0dtt4Qzp7b3tp550OgVyqoaW1XjgmrH1gkD7f+zP5R9CW42sE6N8iHAnD5st05v20XEAuAq4G0txGhmZv2g7AQ0nUKbjaRNgDWp3cZTd7tMvbahovKuO5qZGVB+Aroa2EPSWrmyscAC4KYG220oaaeeAkkjgc2zdTVJGkTqJTelnaDNzKx9ZSegC4BFwKWSdss6AIwDzsp3zZY0Q9IPe5Yj4nbgGuBiSftJ2hf4GXBLzz1A2UgJf5D0aUm7ShoL3AhsDHyzW0/QzMxqK7UTQkTMlrQrcB5wOan95mxSEspbFSgOz/OhrO6PSIn0CuDI3PpFwL9JIypsACwEbifdvHpPR5+ImZm1rPRecBExDdilQZ3hNcrmkIbYKQ6z07N+IbBfB0I0s5XM8A710Gunp9/MU/duO4aXu7IvwZmZ2QDlBGRmZqVwAjIzs1I4AZmZWSmcgMzMrBROQGZmVgonIDMzK4UTkJmZlcIJyMzMSlH6SAjWXVW4Axx8F7iZ+QzIzMxK4gRkZmalcAIyM7NSOAGZmVkpnIDMzKwUTkBmZlYKJyAzMytF6QlI0jaSrpc0X9Ljkk6SVJx+u9Z2QyRdJGm2pGcl/UzSujXq7SNpqqSFkqZJGts/z8TMzFpR6o2okoYC1wHTgH2ALYAzSYnxqw02/yWwFfBJYBlwGnAZ8O7c/ncCLgHOB44E9gJ+IWl2RFzb0SdjZtamgXajeNkjIRwODAL2i4jngEmS1gbGSTo9K1uBpFHAHsDOEXFzVjYLuFPSbhFxXVb1a8DNEXFktnyjpDcBJwBOQGZmJSr7EtyewDWFRDORlJR2brDdEz3JByAi7gIeztYhaXVgDPCrwrYTgVGShrQfvpmZ9VXZCWhrYHq+ICIeBeZn65reLnNfbrstgFfWqHcf6Xm/oQ/xmplZh5SdgIYCc2qUz87WtbNdz89ivdmF9WZmVgJFRHkHlxYDR0fEOYXyWcCEiPhKne0mAXMj4gOF8p8BwyNiR0k7ArcA20fEX3J1tgT+DuweEZNq7Psw4LBscSvg/j4/wfatBzxV4vHrqWpc4Nj6oqpxgWPri7Lj2jQi1m+mYtmdEGYD69QoH0LtM5z8drWe4Dq57Wbnyop1qLf/iBgPjO/l2F0j6Z6IGFl2HEVVjQscW19UNS5wbH1R1bhqKfsS3HQKbT2SNgHWpHYbT93tMvm2oQeBxTXqbU3qtv33PsRrZmYdUnYCuhrYQ9JaubKxwALgpgbbbZjd5wOApJHA5tk6ImIRcCNwQGHbscDtEfFs++GbmVlflZ2ALgAWAZdK2i1rfxkHnJXvmi1phqQf9ixHxO3ANcDFkvaTtC/wM+CW3D1AACcDoyV9R9JoSaeTbkY9qd+fWWdU4lI65KO6AAAYxUlEQVRgDVWNCxxbX1Q1LnBsfVHVuFZQaicESEPxAOcBo0jtMhcC4yJiaa7OTGByRBycK1sHOBv4ACmRXgEcGRHLNb5lyekbwJak+4TGRcTEfnxKZmbWhNITkJmZDUxlX4IzM7MBygnIzMxK4QRkZmalcAIyM7NSlD0SggGSROrNtzfwRuDVwFLgCeAO0rBEpdw4m90YvBcg4NcR8bSk1wJHkwZ8nQmMj4ipXYzpS8BV3TxmsyQNAlaNiOdzZesDRwDbkG6C/jNwfjfvRZP0VmBQRNyWK3sf8OVcXH8h9RK9rfZeuif7n3g/8DYggHtIf/NK9JrKpo15CtglIm4pMYZdgNWAKyNiXvZe+yzpnsiHSP+bj5cRXzPcC65k2RvmKmAEKeEsAjYm/dNdTXojbQWcHBEndzm2d5DmTRoMLAGeIc3DdBUpQd4LbAtsCOwWEX/oUlzLSK/PdODnwC8jYkY3jt2IpKuAByLi89nyKNLfcRkwhZTIRwAvkD687u1SXHcAl0fEKdnyJ0i3PNwI3JDFtStpQsf9I+K33Ygri+U24NCIuC9bHkp6340A5mbVBpO+jO2RT+79HNd/97J6EHAGcA7wAEBEnN+NuAAkvR64HtgkK3oY2B2YRBpu7EHS58YCYEREPNat2FoSEX6U+AB+QXoDb5crew3we+CSbHln0j/iJ7oc2yTSB9Q6pKktzgMeA34LvDKrszrpA/bGLsa1DPgW6d6vRaRkeDfwBWDjkv+eTwH75JbvIH1QrJUrG0Ia6eOaLsb1HGkA3p7lGcC5NepdAPyly6/ZMuAdueUfkr7svC9X9j7S+I5ndzmupdnPWo/8uqVdfs1+RTpjfT3pislPss+R23rea6RBSf8CfL+bsbX0PMoOYKA/SDff7l+jfHj2Bt8oWz6+hA+Gp4E9c8sbZP9suxfq7Q081cW4XvzAIk2rcVj2Ib8ke0zOytYt4e85H3hPbvmF4uuVe83mdfl9lk9Ai0kzChfr7QYs7PJrVkxA/wb+p0a9o4FHuhjXZcA/gUPIrhbl1q2Txf2ebsVTOP7jwIG55U2zePYr1DsE+HsZMTbzcCeE8omUaIqWZut6Zm69k+5PohfZI79MoazWctdExOyIGB8RuwKvBY4iXRO/AHhc0pVdDulvpJl4ezxB+oZatC4pWXXLH4CDcsv3ArVGTH47MKsrEdW3DqnNp2gK6XJvV0TEvsDHgWOAu7MpXl5c3a046hgK/Cu33PM3e6RQ7yHS/0UluRNC+a4DviHprxHxELx4Dfx/SW+wns4Hg4FuD6A6BTha0q3APNJZ2CzgM5JuiIilklYF/pv0wVuqiPgX6Zr8OZI2BT5MGny2m04FfibpH8DFwCnAGZKeJl12EylBfYsVp4vvT8cDt0p6BXAuqfPBjyW9mnTGCKkN6H+A47oYV4/9swGFof50K+uRLiV2TURcK+nNpNflSkm/J52JdaUdqhdPks56eiwFvk/6wpO3AeXHWl/Zp2AD/UH6dvI30iWRGcA0UsPhHJa//HU6qbG9m7GNJH0YLM5iehp4C+la80PA5aTGz0XAmC7Gtdwlm6o9gE+SPiifBe7Kfl+aPZZkP/8PeFWX49oeuJ0a7RfZz6eBz5fwetVqX/lRjXrfB/5Q4t91Q9KXirnAmdnrVtYluMtqvUY16p0LXFfWa9bo4V5wFSBpFeBA0of7GqRE9POIeKbUwICsy/V/kM6WL4mIf0raEDiW1MvmEeDCiPhjF2M6EfhBVLl7qbQu6ezrHaQPrleQGtbvA66IiCklxvZG4J014rotIhaXFVcjkj4FPBgRN5QcxyjSQMhbAXtHCd3WJQ0jfYF5uEG9L5Lajq/vTmStcQIyM7NSuA2oQiS9iTRj61BSI+ccYHp06V6RVklaJXLTZpRN0hqkm2OXATPK/jaftY9tTu7G4oh4tMyYXm6yG1KJEr8pZzcXKyLm58q2J7sRu8yz2Ze9sq8B+hEAnyBdyqp1z8FS0mgDh5QU236k681XAe/PysZmMS3N4v5Ul2P6KLl7okhfpE4l9SrraWt5HjiupNdsBPA7UrvZ0sJjFmlCxK62/2Rx/Qepu/pU4JfUaL8gXZrr9j0tu5O7Tyor2xf4I6nNbDGpV9zeXY5rCKmtbnEWxw+AVYAfF/4/bwXWK+O91sRz2L/bf89WHu6GXTJJnyM1rl4BjCb1Wnll9tiAdBPqFcAFkj7b5dgOBH5D6n20GPhldh3+J6QPsiNJN75dIGmPLoZ2POkG2B6nZbF8C3gP6TU7EzhR0vFdjAtJu5Nek9cA3yHNynst6YNqHHAW6UPhtqy3Y7fiei/pBuI1SL3xXg/cKOnMnrOMEl1NGoIKAEkfAC4FFpJ65H2ZdD/Vb7PXt1tOJo0M8UXSl8R3kXou7kK6MXYYKakPz+pai9wGVDJJDwEXRMTpDeodCxweEZt3JzKQdDcwJSIOz5YPAn4EnBcRR+XqXQRsEhG7dSmu+aQegjdly08Cp0TEOYV6RwOfi4hNa+ymv2KbAvwtIj5eKP8c6R6lzUn3Kd0G3BERvQ330sm4biENEXRIruwTpO7+k4APR8RCSe8kdUZYpRtxZXEsA3aIiLuy5T8CsyLi/YV6VwFrRsTOXYrrYeCbEfGDbPmtpFsTDomIH+fqfQo4PiI260Zc2TF/1GTVTYHR3fx7tsJnQOXbkNRVt5G76OJNeJmtSGdAPa4gnZkVb+68lDSgZbc8Szor6zGENORI0V9IZ5HdtA3w0xrlPwVeB2wVEQtJZ0cf6GJc2xbjiogfkc4WdwBuyO4JqoJtSVcFisaTBiftlg146T48yMZ8I42zljeD2vct9aePky5dbtfg0bUvX33hBFS+vwKfym4QrCm7RPKprG43Bemad4+egSHnFOrNJd293i2/I90gu1q2fB3pptOiD5Pu+O+mJ0nd6YveQno9e24mfoSXRrnohoXAmsXCSA3oO5I+QG8DuvYtvhhK7vdneem9ljeP7n5mPUxK0D3eTWr3eVeh3o5AtzuXPADcEBFv7+1BOTcVN8294Mp3FGng0WmSLiWN8DyH9A+5DqlX3AdIN6y+r8uxPUL6Rn8NQKSRD0aR7hnJ25zlhwXpb18mDS3zN0kXkm6IPU3Strx0V/8uwFtJQ/p303jgZElrktrJXiANb/MV0oCtPfcubU53P7T+CuxJSt7LiYiHsmFmrgImdDGmvGskLcl+H0K6aXZyoc7WpLHZuuUC0qga25GS4oGk994JkgaTzrDfRhoEt9ttQHewYiKsJUijb1SSE1DJIuLWrEvnsaSxujYpVPkHqZH2jIgonvr3t0spjCMVEXfWqPcRoGtzokTEM5J2IH2of5GXLrONyh4vkNo13h0Rd3crriy2U7I2jeOAE3uKSaOe/0+u6mLgm10M7RLgeEmvjho3OEfEk5J2JvX66kpbXs7Xa5Q9WaNsf9Lo7F0REedlVyY+TDozPDYiLpD0GKntrGc8vwuAb3crrsy5pF6CjdzE8mMTVoo7IVSMpFfx0uWsOZG796CqJL2OFGtXx+nKHX84y9/V/2CUfw/QK0n3iawBPFTWa2P9I7ssvl5E/LvsWF7OnIDMzKwUvgRXEdnU1xsA90fECg2wktYD9oqIi7seXA3ZNfA/Agd1+zJXVae9zsVSuWnMm5WNE3dARJzU5eO+LKaXrjFV+BRSvF3/Jp+NHr4/6X02ISKmS3oL6ZJmz/vsuxHx+27H1iyfAZVM0uqk7rH7ZUXLSCPufjH/4VnS/Rl79bJ6TdLd9MeRTcUQEVd1Ka5KTnudxVLJacybJWl/4Fddfp9Vcnrpqk4VnsWyB6nzzTOk3oHrA/uQ2m2nkb6AjSB1gNk/Ii7rVmwtKXsohoH+AE4g9Xr7FGn6g8+T5vR4ANgyV6+MIVIqOSUxFZ32OjtuVacxf12Tj8NLeJ9VcnppKjpVeHbcW4FfA6tky8dncfywUO8npBueuxZbS8+j7AAG+oPU7fqIQtmGwM2kqYlHZWVlJKApvDQl8aaFx5uzf9ADe8q6GFclp73OjlnlacyL49LVenT1y0QWWyWnl66RgCoxVXh2zGdJZ9A9y0OzeHcp1Nud1EGoa7G18nAbUPk2oXCDaUT8S9KupG8v12VD4HTz/oceI0lnZqeR7rs5OrL5RyT13ET5r4goTgPc33qmvb45W67KtNdQ3WnMnwduAC5sUG8n0i0B3fRymV66ElOFZxaw/I3FPb8PKtR7Fekm5EpyAirf48CWvPRhCkCkbsQfkvQd0ql21zsfRPoKNV7Sr4BvAH+VdF72e5mqOu01VHca87uAIRFRHEZpOdmUFt1W5emlKzlVOOkS3AmSHsiO/W1S28+XJN0cEc9nXxKPJb0nq6nsU7CB/iAN7jm5QZ0vU8KlkRpxvJl0d/rjpLaqMqckruq011WdxvxrwD+aqPceutg2lR2zktNLU+GpwkntZTNz7/kHSW14Pf8LU0nJejawfTdja+XhXnAly75djQVOjYine6n3EeC9kRvNuCySPgScTrocMjoibm6wSX/FUclpr6s4jXmVvdynly5rqvDsVogdSZ1dro+IBdmN7J/kpffZz6NLvQb7wgnI+iS7jLQmMDcqNCuqmb18OAGZmVkpPB3Dy4SkH0j6Ydlx1FLV2KoaF1Q3NknXSarUJa4eVY2tqnFBtWMD94J7ORlDdb8wVDW2qsYF1Y1NVDMuqG5sVY0Lqh2bL8GZmVk5KpsZbXmS1simPaicqsZW1bigurFJemUV44LqxlbVuKDasYET0MvJ3qT7R6qoqrFVNS4oITZJn5X0oKTnJd0p6WM1qr2t23FVObaqxlX12JrlBGQ2AGT3bp1LGrj166SbiSdI+k02vYVje5nEVfXYWuE2oJJJavbmtfWBbaK7w+RXMraqxgXVjU3SPcANEXFsrmxX4GekO+r3jjRvURnTflQytqrGVfXYWuEzoPK9BxhGGrKlt0e3x8CqcmxVjavKsW1FmpPoRdmIAjuQpq64XdIWXY6pR1Vjq2pcUO3YmuZu2OX7G2kW1LG9VZL0QdIEcN1U1diqGhdUN7ZnSYNmLiciZkp6F3Alaf6dk7sYU4+qxlbVuKDasTXNZ0Dlu5P0raWRIPXp76aqxlbVuKC6sU0B9q0ZSMRsYFfSVAP/28WYelQ1tqrGBdWOrWlOQOU7HfhcE/WuAjbr51iKqhpbVeOC6sb2U2BzSbXmTSIiFgD/SZov6NEuxgXVja2qcUG1Y2uaOyGYmVkpfAZkZmalcAIyM7NSOAGZmVkpnIDMzKwUTkDWK0kHS5qSjTc1W9KfJJ3VT8c6UNLBTdQbJylyj8clXdLsjXeSJmR3kpeu2eec1e153g/UWT8jWz+uv2Jocb/Lvc6dPo6kV0g6IntPLpD0nKR7Jf2vpD51cVfyF0kfr7N+gqThddZ9VxWc46nKnICsLklfJnXjvAbYD/gv4Lek7p394UDg4CbrPguMyh5HA9sD10tas4ltT27hOP2tlecMsBDYTNLIfKGktwObZuv7O4ZmFV/nTh9nIvAN4FLSe/LjpO7t74q+d+89EBgK/LwP254BHCTp9X089oDjkRCsN0cA34+I43Nll0v6elkB5SyJiDuy3++Q9CjwB2Av4NfFypJWAVaJiBci4sEuxtlp84A/Ah8i3WjY40PADcCIMoLq0a3XWdKewAHAXhFxdW7V//X17CdzJPCTiFicO9aqpGT6MeA1wIclPQh8PSJeHM0iG4XgFuAzwFFtxDBg+AzIerMO8K9iYf7bZc9lFkn7SpouaaGkWyRtU9wuuwQzVdIiSf+QdEr2z42kCcD+wM65S2vjWoh1SvZzeI247iWdGbwzv64Q23sk3ShprqRnJU2W9Nbc+p0k3SRpvqSnlabUXqu3gCSNkvS77BLhPEl/lnRQ/rXr43OeCBzY80Gb/TwwK+9YDNlr8JvC/kZndbbNv5aNXud6x5G0t6RlkjYrHGezrLze2fbO2c8VBn/t69lPdubyLuA3hVWfB44ljSpwFfAJ4EfAujV2cwnpLMifrU3wGZD15o/A57Kziysi4uk69TYFzgK+BiwgDQ9/jaQtI2IhgKTdSWOfXQwcA7yZ9K1yXeDw7PfXkZLef2f7fayFWIdnP/9VKDsdOAl4gjrzokgaDUwCbiRdxpkH7AhsDPxJ0o7A9cBlwAezmE8lXar5YC8xbQrcClxA+mDeEbhI0rKI+AV9f86XAt8DdiKd9b2bNLr2/5EuA3UjhrzhNH6d6x3nn6SpBD4OjMvVPxj4N4UBN3PmZT/PkHRmRDzSYsy17Jrt9y+F8p1JI0+fnn2xujUiZtbZx22kwWi3q7EfK4oIP/yo+SAliYdI45YtA+4lfcisnaszIVv/rlzZpsAS4PBc2R3AjYX9HwssBV6bLf8GmNxEXOOAp0hfoFYF3kBKHs8BGxXi2r7G9hOAe3LLt5MuZ6nO8f5QI/Zdsv1v2+RrqSzW75M+zHrKm3rO+eed/f5b4LvZ7+cDl2W/PwWM60QMwGTgN4Wy0fnn3eLrXO843yAlLeXinAl8u5fXYkPgr9mxgzQI7PHA4Dbe7+OBu2uUfx/4R3bMCcDwXvaxavbe/1Rf4xhID58mWl0R8VfgjaQG3vNJHwxfA+6RNDhX9cmIuC233SOkS2LvgBfbBd7Gim0zvyRdBh7Vh/DWBRZnj/uBzYGxEfHPXJ1ZEfHn3naSdVp4J/DjyD5BCutflcX3K0mr9jyAW7Jj121zkTRUqUfWI7lYDyMlzHZNBD4oaXXSWdgKl9+6EEOPhq9zAz8ifWkZnS2PyZYvqrdBRPwLeCuwB+lscB3gFOA2SavBiz04/5w9FmWXiP+s1KvzlTV2uyEpgRedQjozepj0v3B0dlZcK64lwJxsX9aAE5D1KiIWRcTlEXFERGwDfBLYEjg0V+3JGps+CWyU/b4e8ErS5Zm8nuWaAyo28CzwdmAk8FrSt9KrC3WKx6tlKCmx/rOX9auQEvDi3GMR6Tlt0su+JwBjSZfFds/i/RGwRhNxNfI7YDDpw3FN4PISYujRzOtcV0Q8RDrbOiQrOgS4KyLubbDd0oi4NiL+m3R57yLSpa9R2foJEbE96cvPEmDHiNg+IkZErpNBzhqkv2vxOI9m+/0A6YrATsAtqn87wiI6+/qutNwGZC2JiB9KOh3YOle8QY2qG5Au2UH6Vrm4Rr1h2c9n+hDKkohodC9PM43Rs0mXFzeqs35Otp9x1G6PeLzWRpLWAPYGjoiIC3LlHfnSFxHzJF0BfAH4dUTMK9bpQAwLgdUKZbW+LHRiROMLgR8odf3fjxZ7kUXEMknXkpJX8cN/S2B21G/D7PEMdc5csoT1e6WpsMeRpkI4W9J3sgSVtw59e08POD4DsrokrZBYJK1PmnEx/613A6VJsHrqvI70rfMuSN9USZfkDijs7kDSh//t2fILdPmbY/bBfSfwXz29ymqsvwPYKiLuqfGomYCA1UlnTi9+o856zRV7dbXznL9HOvO5oM76dmN4jOW/aAC8t0+R9n4cSB0rXiBdSnwFdS4pAkgaVmfVfwLzSX/PvLfQXIeA+6kxRUat9wVwd/bz1YW66wOvAv7exPEGPJ8BWW+mSvotcC3pktqmpJs+5wM/ztV7CviJpJ5ecCdl9Sfk6pxI6hl3EenDZTtSz6gfRERPr6vpwD6S9iV9+D3eywd8Jx0HXAdcLWk86Xr/KFID+hWkzhLXS1pGakh/nnTJZ2/gKxGxwodNRDwr6W7gBEnPkRLtcaRLh2vnqvb5OUfEZNKlq3rr243h/4BDJZ1NmmFzDKnNpa/qPteIWCjpZ8BngV9ExJxe9vMrSc8DvyJ1VtgAOAjYh9T4X9z2LaQOC43cSnqt1o+If+fKfy7pT8DNpMudI0hnnrOA+wr7GEk6I7wNa6zsXhB+VPdB+jC4lnSZaSHpn/3nwNa5OhNIPcj2I33rW0T6R16hdxipLWIq6ZvuY6T2i1Vz69cjfeg9Q3bZq05c48h6g/US+wRyPbAarSN1tb2ZlFznkHrVbZ9b/07g96SedvOAaaSu50N6ieH1pPtU5pEmBTu2GHuzz7mF571cL7h2YwC+TOoB9jxpErT/ZMVecE29zo2eK7BbVr5bg+f4iexv8Vj2XnqGlCBH16l/OfChJt7vqwFPAx8rlH8gO96/SEn8OVLif2uNfZxDocekH/UfnpDO2pLdYLhtRIxsVNesN1nb4lhgs4hY1sH9PgrsERHFs5Vadc8BXh8Re9dZP4GUOGfWWLcK8AhwXET8tK2gBwhfgjOzUknaCtiGNITN1zucfIaSbtJttk3mDOB+SW+IGpdWGziAdAm6bvuVLc+dEMysbN8nXdq9ijTcTcdExOyIGBSpI0wz9R8j3WJQr1fkZaRLtLUIODTSvUDWBF+CMzOzUvgMyMzMSuEEZGZmpXACMjOzUjgBmZlZKZyAzMysFE5AZmZWCicgMzMrhROQmZmV4v8Bzzme+z7FdgYAAAAASUVORK5CYII=\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -210,7 +210,7 @@
"outputs": [
{
"data": {
- "image/png": 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pY3HWrg2dxuUoLyQu/9x9N6xZY43sruaKi20Z3vvvD53E5SgvJC6/bNxol7VOOAEOPzx0mvxwwglw2GHWFdjXKnEV8ELi8ssTT8C8eT4AsTaJ2Nndhx/CCy+ETuNykBcSl18GD4Z994UzzgidJL906wa77uoDFF2FvJC4/PHOO/DGG9bTqL6v1Fyrtt3WesA9/zx89FHoNC7HeCFx+aOkBJo3t7EPrvZddRVst52flbiteCFx+eHLL+Hhh200drNmodPkp513hksugXHjYNmy0GlcDvFC4vLD8OFQVmaXtVzdGTgQvvsORo0KncTlEC8kLv6+/dbe2M45B4qKQqfJb4ccYjMpDx8O69eHTuNyhBcSF3/jxsHKlT4AMVuKi2HRInjoodBJXI7wQuLirazMGn+POMJW9XN1r1MnOOgg62rtAxQdXkhc3D3/PHzyiX1K9jVHsqNePRgwwNYpee210GlcDvBC4uJt8GDYfXc477zQSQpLjx6www6+VokDvJC4OPvgA5g8Gfr1swFzLnsaN7ZxJU88AbNnh07jAvNC4uJryBBbtKp379BJClPfvjaDwLBhoZO4wLyQuHhautSmNe/Rw5bTddm3xx5wwQUwejSsXh06jQvIC4mLpxEjYN067/IbWnExfPONLSTmClbWC4mItBGRl0SkVEQWisgtIlLlDHsicoiIPB/tv05E5ovI3SLiy98VonXrbOnXzp2tG6oL54gjoF07GDoUNm0KncYFktVCIiItgcmAAmcBtwC/BG5OcWgLYA5wHdAJuBHoCDwrIg3qLLDLTRMmwJIlfjaSKwYOhDlz4MknQydxgWT7TbgP0AjooqqrgRdFpDlwk4jcFm3biqq+AbyRsGmqiHwJvAD8CPh3Hed2uULVupyWT9Xhwjv7bJuapqQEunQJncYFkO1LW52BSUkFYwJWXE7M8Gctj756v89CMm0avP++fQr2AYi5oX59myzz1VdhxozQaVwA2S4kBwGzEjeo6nygNHqsSiJST0S2FZEDgb8A7wLv1EVQl6MGD4addoLu3UMncYl69oSmTX2AYoESzeJcOSKyAfiVqpYkbf8SGKeq16c4/nmsjQRgBvBzVV1ayb69gd4ArVq1ajthwoRqZV6zZg1Nmzat1rEhxClvplkbLVjAUZdcwryLL2ZugMWr8vm5rQ37Dx/O7k88wVsPPsj6nXfO6Fh/butOTfK2b99+hqoekXJHVc3aDdgADKhg+wJgUBrH/wA4GrgYO7OZATRMdVzbtm21uqZMmVLtY0OIU96Ms/bvr7rNNqoLF9ZJnlTy+rmtDZ9/riqiev31GR/qz23dqUleYLqm8d6e7UtbK4HtK9jeAliV6mBV/VRV31bV+7Ezk8OAi2o3ostJq1bZWIVu3WA37/Wdk/bdF846y8b4lJaGTuOyKNuFZBZJbSEishfQhKS2k1RUdR6wAti31tK53HX33baAVXFx6CSuKsXFsGIF3Hdf6CQui7JdSJ4DOolI4qLaXYG1wLRMflDU4L4jNr7E5bONG20+pxNPhMMOC53GVeX44+Hww60rcFlZ6DQuS7JdSEYA64DHRKRj1CB+E/BPTegSLCKficjohPt/F5G/iMg5ItJeRK4BJgGfY92HXT57/HGYP98HIMaBiP07zZoFL7wQOo3LkqwWElVdCZwE1Aeexka0D8ZGqidqEO1TbjpwPDAa+BdwLfAo8FNV/baOY7vQBg+26+9nnBE6iUtH167WjuVdgQtG1qcXUdUPgQ4p9ilKuj8BP/MoTG+/DW++aVPG169ySjaXK7bd1qaY//3vYeZMm4XA5TWf/dfltpISaN4cLr88dBKXiauugoYN7QOAy3teSFzu+uILePhhuOIKaNYs9f4ud+y0E1xyifXeWrYsdBpXx1IWEhHpISK+cpDLvttvt0ka+/cPncRVx8CB8N13MHJk6CSujqVzRjIG2A9ARDaJyFF1G8k5bMzIqFFwzjk2s6yLnzZt4JRT7APB+vWh07g6lE4hWQnsHn0v2FoiztWte++FlSt9AGLcFRfDokUwcWLoJK4OpdNrazJwn4h8jBWRsSJSaZdbVfUzFlczZWXWSHvkkXDssaHTuJro1AkOPti6Al98sU/9n6fSKSQ9gWuAA4HDsZHkX9VlKFfgnnsOPvkExo/3N564E4EBA6BPH1uv5IQTQidydSBlIVHVUuDvACLSEbhBVd+v62CugA0eDHvsAeefHzqJqw2XXALXX2//rl5I8lI6vbY2iciR0d2pQIXL4TpXKz74AF56Cfr1g222CZ3G1YbGje2M5Mkn4fPPQ6dxdSCdxvb1wHbR9z2AzFascS4TJSXQqBH07h06iatN11xjMxMMGxY6iasD6bSRfAjcJCJPYL22zhORylbMUlW9s9bSucKydKm1i1x+OeywQ+g0rjbtsYfNwTV6NNx8M7RoETqRq0XpFJL+wEhsckUFrqtiXwW8kLjqGTEC1q2zxlmXf4qL7YPC6NHwi1+ETuNqUcpLW6r6hqr+UFW3wc5Ifqqq9Sq5+ax6rnrWrYM77oDOneGgg1Lv7+KnbVto1w6GDrU1ZlzeyHSurfbYpS7nateDD8KSJT4AMd8VF8O8edbw7vJGRtPIq+o0ABE5GmgH7IAtd/uaqr5d+/FcQVC1RvZDDoGOHUOncXXprLNgn32sK/C554ZO42pJRoVERJoADwOdgE3Acmy52/oi8jxwfjTuxLn0TZ0K778Pd93lAxDzXf36cO21dmby7rs2e4GLvUwvbd0GHAN0Axqq6m5Aw+j+McBfazeeKwiDB9u04927h07isqFnT1sWoKQkdBJXSzItJOcCv1HVh1W1DEBVy1T1YeC3gA9Fdpn59FN45hm4+mobP+LyX/Pm0KsXPPQQLFgQOo2rBZkWkhbAF5U89gXQvGZxXMEZOhQaNLBC4grHtdfa5Jy33x46iasFmRaS94GrRba8kB3dvzp63Lm0NFizBsaMgQsvhN12Cx3HZdM++1jD+8iRUOrNqnGXaSG5HmtonyUifxGRYhH5M/ARcEr0uHNVGz8eioo47owzbAGrAw4InciFUFwMK1bAXntxYocOtoDZ+PGhU7lqyLT778sichjwB6w9ZDdgEfA20EVVfYyJq9r48TaPVmkp35/W/ulP9ibije2FZf5866W3YoW9FubN2zzHmr8WYiXTMxJU9UNV7aaq+6lq4+jrRV5EXFpuuGHrSxmlpbbdFZYbbrAxRIn8tRBLGRUSEfm7iLSpqzCuAMyfn9l2l7/8tZA3qtP99wMReUdE+oiIT+HpMrP33pltd/nLXwt5I6NCoqr7AB2BWcDfgEUi8kC0cqJzqQ0aZKObEzVubNtdYRk0yP7tE/lrIZaq00YyRVV7YA3t/YE9gUkiMk9EbhaRfWs7pMsjJ5xg4weaNUNFoHVrGDXKG1cLUffu9m/fujXft5T84x/+WoihjAtJOVVdo6qjgRuB14G9gN8Bn4jIkyLSupYyunwyfLj11Pnvf5n28sswd66/cRSy7t1h7lzeHTPG7i9bFjaPq5ZqFRIRKRKRG0VkNvACsAbrDtwMOBMoAibUVkiXJ7791j6Bduli3X2di5QWFUGnTjbSff360HFchjLttXWJiLwMfAZcCowB9lHVn6vqo6q6TlWfBa4FKluO1xWqe++FVatg4MDQSVwuGjgQFi+GiRNDJ3EZyvSMZBSwGOikqvuq6q2q+mUF+30C/LGiHyAibUTkJREpFZGFInKLiFS5sqKIHCkiY0Tks+i4j6MzooYZ5nehlJXBkCE2bfixx4ZO43JRp05w8ME2G3Ty+BKX0zIa2Q7srqorU+2kqouAm5O3i0hLYDK2yuJZwH7AP7CC9vsqfmTXaN+/Ap8CPwJujb766jhx8Nxz8MknNrLd1xxxFRGBAQOgTx949VXrmOFiIdMpUlIWkRT6AI2w6VRWAy+KSHPgJhG5LdpWkb+q6lcJ96eKyHfASBFprarzapjL1bWSEth9dzjfVxpwVbjkErj+ejsr8UISGxk3totIVxGZLCLzRWRp8i3F4Z2BSUkFYwJWXE6s7KCkIlLuvejrLhn9AS77PvgAJk+Gfv1gm21Cp3G5rHFjOyN58kmYPTt0GpemTBvbLwLuxRrb9wSeAp6Jfs5qYHiKH3EQNpjxe6o6HyiNHsvEsUAZ8HGGx7lsKymxRavKJ+RzrirXXGODVocODZ3EpSnTM5JfYW0TfaP7d6hqT2AfYBlWEKrSElhVwfaV0WNpEZFdgRuA+6q4HOZywdKl1i7SowfsuGPoNC4O9tgDunaFe+6B1f7fOw5EM+gdISJrgNNVdaqIbABOVtWp0WPnAINVtaiK4zcA16nqkKTtC4Cxqppy2k8R2RZrsN8TaFtZu42I9AZ6A7Rq1arthAnVG9ayZs0amjZtWq1jQ8i1vK3vvZd9xo7lnXvvpTRpDqVcy5pKnPLGKStsnbfZxx/Ttk8fPrvmGr7MsXa1uD+3mWjfvv0MVU09lENV074BC7CuvwBzgasTHusCfJPi+KXAjRVsXwP8Ko3fL1ibynLgoHRzt23bVqtrypQp1T42hJzK+913qq1aqXbuXOHDOZU1DXHKG6esqpXkbddOtahIdePGrOepSl48t2kCpmsa77GZXtqajnW5BWsf+YOIXCkil2KTOL6d4vhZJLWFiMheQBOS2k4qMRjrNnyWqqazvwtpwgRYssQHILrqGTjQptB58snQSVwKmRaSPwPliwX8AXgHuAMb4b6M6FJSFZ4DOolIs4RtXYG1wLSqDhSR32GTRF6sqq9lmNtlm6o1srdpAyefHDqNi6Ozz7apdEpKQidxKaRVSESkkYicCxwHNBCRVqq6SlXPApoC26vq0aqaqr/eCGAd8JiIdIzaMW4C/qkJjebRCPbRCfcvAv4EjAMWiMhPE247Z/D3umyZNg3+8x/7VOkDEF111K8P/fvb4MQZM0KncVVIWUiiaeFnAg9jl6/uAz4WkVMA1ObXSqtrhVrD+ElAfeBpbPT7YGwG4UQNon3KnRJ9vQx4M+l2Wjq/22VZSYn10rr44tBJXJz16gVNm9oARZez0jkjuQ0br3E80Bg4BBsMOLI6v1BtzfcOqtpIVXdT1f9T1U1J+xSp6mUJ9y9TVankNrY6OVwd+uwzeOopG1jWqFHoNC7OWrSwYjJxIixcGDqNq0Q6heQY4Peq+rqqfqeqHwFXAXuLyG51G8/F0tCh0KAB9O2bel/nUunfHzZtsinmXU5Kp5DsBiS3fXyOdcXdtdYTuXhbtcoGknXrBrv55wxXC/bbD846C0aOhNJUY55dCOn22vI5nV16Ro+2Bay8y6+rTQMHwvLlcP/9oZO4CqRbSCYlTcy4KNr+UoaTNrp8tnEjDBtms7YefnjoNC6fnHACHHaYdeLwtUpyTjrTyG+1rohzFXriCZg3z3vYuNonYmcll14KL7xgi2C5nJGykKiqFxKXnpIS2GcfOPPM0ElcPuraFX7zG3udeSHJKRmvR+Jchd59F15/Ha691gaSOVfbttvOpph//nn46KPQaVwCLySudpSUQLNm0LNn6CQun/XpYwVlyJDU+7qs8ULiam7BAnjoIbjiCmjePHQal8923tmW4x03znpxuZzghcTV3PDhUFZmA8ecq2sDBsDatTauxOUELySuZkpL7T/02WdbQ7tzde3QQ21G6dtvh/XrQ6dxeCFxNTVuHKxc6QMQXXYNHGhzbz38cOgkDi8kribKyqzRs21baNcudBpXSE49FQ480Aco5ggvJK76Jk2CWbN8zRGXffXqWVvJ9OnW7dwF5YXEVV9JiU3MeMEFoZO4QtSjB7Rs6Sso5gAvJK56Zs60qSr69YNttw2dxhWiJk2gd294/HGYMyd0moLmhcRVT0kJNGxo/5GdC6VfP7vMNXx46CQFzQuJy9xXX8F999mlhZ12Cp3GFbI994Tzz4e774ZvvgmdpmB5IXGZGzkS1q2zxk7nQhs4EFavhjFjQicpWF5IXGbWr7eBYJ06QZs2odM4B0cdBccea13RN20KnaYgeSFxmZk4ERYv9gGILrcMHAizZ8PTT4dOUpC8kLj0qdqiVQcf7OtBuNxyzjmw997eFTgQLyQufa++Cu+95wMQXe5p0MCo1nPKAAAfqUlEQVQmDZ02zV6jLqu8kLj0lZTADjvAxReHTuLc1q64wsaW+FlJ1nkhcemZPdvWZO/TBxo3Dp3Gua1tvz1cfjk8+CAsWhQ6TUHxQuLSM3SoLaF7zTWhkzhXuQEDYONGuPPO0EkKihcSl9rq1XDPPdC1K+yxR+g0zlVu//3hjDOskKxdGzpNwfBC4lIbPdpGDXuXXxcHAwfCsmXwwAOhkxQMLySuaps22WWtdu3giCNCp3EutZ/9DH78Y+uq7muVZIUXEle1J5+EuXP9bMTFh4i9XmfOhJdeCp2mIHghcVUrKYGiIluT3bm4uPBC2GUXOytxdS7rhURE2ojISyJSKiILReQWEamf4phtReRvIvKqiKwVET9fzYYZM2wQ4rXXWo8t5+Jiu+2sh+Gzz9oqnq5OZbWQiEhLYDKgwFnALcAvgZtTHNoYuAIoBd6oy4wuQUkJNG0KPXuGTuJc5q6+2hZdGzo0dJK8l+0zkj5AI6CLqr6oqiOwIvILEWle2UGqugrYQVU7AY9nJ2qBW7gQJkyAXr2gRYvQaZzL3C67QPfucO+9sGJF6DR5LduFpDMwSVVXJ2ybgBWXE6s6UNW7X2TV7bdbj63+/UMnca76Bg6E0lK4667QSfJatgvJQcAWFyxVdT52yeqgLGdxlSkttcWrzjoL9tsvdBrnqu9HP4IOHWDYMNiwIXSavNUgy7+vJbCqgu0ro8dqjYj0BnoDtGrViqlTp1br56xZs6bax4ZQG3l3e/ppDly+nPdOPJGv6/BvL8TnNlvilBXqNu+OHTvyw5df5sNbb2Vphw41/nn+3FZAVbN2AzYAAyrYvgAYlObP6Ed0pSvdW9u2bbW6pkyZUu1jQ6hx3rIy1YMPVj3sMPu+DhXcc5tFccqqWsd5N21S/cEPVI86qlZe04X03ALTNY332Gxf2loJbF/B9hZUfKbisu2FF+Cjj6C42NcccfmhXj2bzPGdd+Ctt0KnyUvZLiSzSGoLEZG9gCYktZ24QEpKYNddbYJG5/LFpZfaNPM+QLFOZLuQPAd0EpFmCdu6AmuBaVnO4pJ99BE8/zz07Wv9753LF02bwpVXwqOPwrx5odPknWwXkhHAOuAxEekYNYjfBPxTE7oEi8hnIjI68UAR6Swi5wE/ie6fF91aZy9+nhsyxEYEX3VV6CTO1b5+/exy7fDhoZPknawWElVdCZwE1AeexgYjDgZuTNq1QbRPojuBh4Fe0f2Ho1v7uspbUJYvh3Hj4JJLYOedQ6dxrvbtvTece66NKVmzJnSavJLt7r+o6odAlX3wVLUonW2uFo0caQsBDRgQOolzdae4GB56CMaOtTMUVyt89l8H69fbSPaTT4ZDDw2dxrm689OfwtFH22XcsrLQafKGFxIHDz9sc2sVF4dO4lzdKy6Gzz6Df/0rdJK84YWk0Klal98DD4ROnUKnca7unXsu7LWXdwWuRV5ICt3rr8P06Ta5XT1/ObgC0KCBtY9MmQLvvx86TV7wd45CV1ICLVtaby3nCsWVV0Ljxvb6dzXmhaSQzZkDjz9u40aaNAmdxrnsadkSLrsMHngAliwJnSb2vJAUsmHD7HJW376hkziXfQMGWI/FO+8MnST2vJAUqtWr4e674fzzYc89Q6dxLvsOOABOO80KyXffhU4Ta15ICtWYMfDNN9bI7lyhKi6GpUvhwQdDJ4k1LySFaNMmGDoUjj0WjjoqdBrnwunQAX74Q+sK7Kt5V5sXkkL09NMwe7YPQHROxM7KP/jAugO7avFCUohKSqB1azj77NBJnAvvootsolIfoFhtXkgKzXvvwbRp0L+/DcxyrtA1bAhXXw3PPAOffho6TSx5ISk0JSU2ZqRXr9T7Olcorr7aFnMbMiR0kljyQlJIFi2y3ik9e9qyo845s+uucOGF1ptx5crQaWLHC0khueMO2LgRrr02dBLncs/AgVBaauOrXEa8kBSKtWthxAg44wzYf//QaZzLPT/5CfzsZzbjw8aNodPEiheSQjF+PCxb5l1+natKcTF88QU89ljoJLHihaQQlK858uMfw4knhk7jXO467TTYbz+fFThDXkgKweTJMHOmfdoSCZ3GudxVv75N5vjmm/D226HTxIYXkkJQUgKtWkG3bqGTOJf7Lr8cWrTwAYoZ8EKS72bNgmefhWuuge22C53GudzXtClccQU88oi1l7iUvJDku6FDrYD06RM6iXPx0b+/tS0OHx46SSx4IclnK1bAvfdC9+6wyy6h0zgXH61bQ5cuMGoUfPtt6DQ5zwtJPhs1ygZY+ZojzmWuuBhWrbIPY65KXkjy1YYNdlp+0km23oJzLjPHHANHHmnzb5WVhU6T07yQ5KtHHoEFC3wAonPVJWL/fz75BJ57LnSanOaFJB+pWtfFAw6Azp1Dp3Euvs47D/bYwwcopuCFJB+9+Sa8+64NrKrn/8TOVds220C/fjao94MPQqfJWf4uk49KSmya+B49QidxLv5694ZGjXytkipkvZCISBsReUlESkVkoYjcIiL10ziuhYiMEZGVIvK1iIwXkR2zkTlOtlu8GB591F78TZuGjuNc/O2wA1x6Kdx/PyxdGjpNTspqIRGRlsBkQIGzgFuAXwI3p3H4ROBnwBXAZcCRwBN1kTPO9njiCWsk7NcvdBTn8seAAbBunS3F4LaS7TOSPkAjoIuqvqiqI7Ai8gsRaV7ZQSJyDNAJuFRVH1XVx4GLgXYi0rFOko4fD0VFnNihAxQV2f1cNn487L03e02caCPZX3kldCLn8sdBB8GPfgQ33xyv94QsvYdlu5B0Biap6uqEbROw4lLV/OadgSWq+v27o6q+A8yJHqtd48fbpaF58xBVmDfP7ufqC6c87xdfIGCDEHM5r3NxM348fPwxlJXF6z0hS+9hDerkp1buIODlxA2qOl9ESqPHnq7iuFkVbP8oeqx23XCDvRknKi2Fyy6DP/2p1n9djX3yydYrupWW2t/RvXuYTM7lkxtusEtbifw94XvZLiQtgVUVbF8ZPVad4/at6AAR6Q30BmjVqhVTp05NO+SJ8+dT0aodunEjX+28c9o/J1t2/vDDivPOn8+0DP7ubFuzZk1G/y6hxSlvnLJC7uf194QUVDVrN2ADMKCC7QuAQVUc9yLweAXbxwOvp/q9bdu21Yy0bq1qw/q2vLVundnPyZa45Y1MmTIldISMxClvnLKqxiBv3P6P1VJeYLqm8d6e7TaSlcD2FWxvQcVnHKmO2z7FcdUzaBA0brzltsaNbXsuilte5+Imbv/Hspw324VkFkltGiKyF9CEittAKj0uUlnbSc10724z57ZujYrYlNKjRuVue0Pc8joXN3H7P5blvNkuJM8BnUSkWcK2rsBaYFqK43YVkXblG0TkCKx9pG5mU+veHebOZdrLL8Pcubn7gikXt7zOxU3c/o9lMW+2C8kIYB3wmIh0jBrEbwL+qQldgkXkMxEZXX5fVd8EJgHjRKSLiJyNtY+8pqqTs/oXOOec20JWC4mqrgROAupjXX1vBgYDNybt2iDaJ1E37KzlHmAcMAM4py7zOuecSy3b3X9R1Q+BDin2Kapg2yrg8ujmnHMuR/jsv84552rEC4lzzrkaERtzkt9E5CtgXjUP3wlYVotx6lqc8sYpK8Qrb5yyQrzyxikr1Cxva1VNOXS/IApJTYjIdFU9InSOdMUpb5yyQrzyxikrxCtvnLJCdvL6pS3nnHM14oXEOedcjXghSW1U6AAZilPeOGWFeOWNU1aIV944ZYUs5PU2EuecczXiZyTOOedqxAuJc865GvFC4pxzrka8kDjnnKsRLyTOOedqJOuz/7raEa0s+XNAgIdVdbmI7AlcB+wHzAVGqeoH4VKCiPwGeDZ0jnSJSCOggap+k7BtZ6Af0AYoA/4D3KGqX4dJ6Vxu8e6/ERERbH2T04CDgR2ATcAS4C1grKp+Ei7hZiJyFPAC0BTYCKwAOgHPYplnAocCuwIdVfXVQFERkTJAsSWRHwAmqupnofKkIiLPAp+q6oDo/jHYKpxl2Bo4ArQF1gMdVHVmwKyHAY1U9Y2EbacCv2Nz0XsfuClxn1wR/Z87Azgce41Mxz505PSbkog0x+au6qCqr4XOA99n6gBsC/xLVb+NPgD1xVaSnY19sFxYJ78/x//NsiJ6wp/F3iCWYKs47oG9uJ/D/iEOBG5V1VtD5SwnIi9iZ5PnAN9ii4Odjb3RnaeqG0RkO+AJoKGqtg+YtQz4K/BD4GQs97+xovKQqi4Ila0iIrIM6KWqT0b338Ke47PLz1JEpAXwFPCdqnYKmPUt4GlVHRTd7wncDUwBXsaK3knA8cC55X9ToKxvYM/rR9H9ltiHobbAmmi3ptiHtk6JZ4QhiMg1VTzcCPgbMAT4FEBV78hGroqIyP7AS8Be0aY5wCnAi8D2wOfY+9daoK2qflnrIVS14G/Ag9gL4ocJ23YHngceje6fiL3ge+ZA3uVA54T7u2CfPk9J2u80YFngrGXAUdH3LYHe0Yt+Y3SbGm3bMfTzGmUsBU5IuL8++XlNeG6/DZx1dWI24DNgWAX7jQDez5XXQXR/NHYmfWrCtlOBlcDgHHgdlGFn92WV3BIf2xQ460PYmef+2JWU+6L3szeAZtE+O0X7jKyLDN7YbjoDv9WE6/hqp4B9gLNFZDdVnQb8CRgQKGMijW6J90naVtH9oFR1paqOUtWTgD2BX2Kn4iOAhSLyr6ABzf+AxDO4Jdh/zmQ7YkUnpLKk+62BRyrY7xHsE2kuORO4RVWfL98QfT8I6BIs1WZPAUuBXkB9Va1XfsNeDwL8LNqWvCx4trUDBqnqZ6q6Avg91k76d43O7FR1GVDClq/tWuOFxAj2CSPZpuixFtH9t4EDshWqCjOA60SkmYjUA64HFgBXi0h9ABFpAFyDvTHmHFVdrKpDVPVYYB/gRuwsMLS/AL8VkZ7RczgI+JuInCwi24rIdlE7xJ+xT4IhvQp0T7g/E6houvAjsddHLtkeaxNJNgNr2wtKVc8GLgV+BbwrIsclPhwmVaVaAosT7pf/WyevwTQb+wBX67zXlpkM/FFE/quqs+H7a7hDsX+g8kb2pkAu9NS5Abv+uQK7PFSKNbQ9AnwqIuWN7btjlwtymqrOw97A/5IDWR4Tkf7Yp7fBwMfYB4nyT86Kfbh4CnuTCel64PXow8QwrJH9XhHZAbtkCNZGMhD4bZCEWzpXRMoL3UqgogWTdsIu2QWnqi+IyI+w5+9fIvI81isyaPtNBZZiZ6PlNgEjsbPpRLtQR9m9sR2Ius0+j53+z8Oui++DNbpfqKrPRfvdhq0Y1jVU1nJR5tOxDwOPquoiEdkV+DWb/467VfXfAWMiIjcCd2kd9RapKyKyI9AVOAr7hFwPK9wfAc+o6oyA8b4nIj8B7gSOZnORI+H7ldglpCFhEpqo00WysaraM2m/kUAbVT0+O8nSE/3fug277DYSKy7tVfWVoMEAEXkCWJH8XFaw3zDgYFXtWOsZvJCY6JLQBcCPgYZYw+UD0TVH53KaiByMFZPkoveGqm4ImS0TInIl8Lmqvhw6S0Wi7uCDsQ9rp2kOdKsWkVZAY1Wdk2K/X2CdLl6q9QxeSPKPiNRX1YrafHKGiDTEGgTLgM9y8c0uaiPZl4QxRao6P2wq53KPN7YnEZFDRORcEblCRHpF3x8SOlcyEekiIk+IyLMicka0rauIzAXWi8i86NNdUCJycTS+ofx+AxH5C/aJ+b9YZ4AVIpIL1/ABEJG2IvIUdj35I+B1bHzDHBFZICK3iEjjoCHziERC56iIiDRK/rcWkZ9E7wttQ+XKOSH7P+fSDeiJtStU1Hd8EzblyOWhc0ZZL4hyvQY8iTW2X4m17YzGRrM+GOXuFDjrh8DVCff/EeX9P+A4rOviTdhgqetz4Lk9BWsbm471zLoJG5S6Psr8S6x31H+AljmQ93RsXM4HwEQSxsAk7HM04cc6nEI0piFh29nY4NSNwIboOT8t9HMaZWsBPB7l2gjcBdQH7k16X3gd2Cl03jT/pnPr6nUQ/I/LhRvQP3rB3I6NAt4petHUj75vBwyP3mD65kDed4ERCfe7R9n+kbTfGGBy4KylwIkJ95cCAyrY7zpgXg48tzOAeyt5jczFzuIbRm+AdwTOenLCm9nwKPumqFhLwn65UEg2seWAxHOiN+M3on/766LvN1LBANAAeYdi06D0B3pEHx4eBb6IiuLO2PizBcCdofOm+TfVWSHxNhJARGZjb8y3pdjv10AfVd03O8kqzbEa6KKqk6P7LbDeOR01oZEyuuQ1UlWDjc8QkUVAP1V9NLq/DjtLmpq038nAU6raKPspt8ixFjhTVV9M2t4Sm1HgEFX9SER6AH9V1d1C5IwyvYbNC3Z5wrae2Jvgi1iPw+9E5Gis0T3YwLmo19ZPVfWd6P6/gQWqekbSfs8CTVT1xAAxE3PMAf6kqndF9w/DCvXlqnpvwn5XYmfS+4RJCiJyT5q7tsYGUdb668DbSMyuwDtp7PcOOTBYCuvamfhiKJ+raFXSfmuwgV8hPYUNntw2uj8ZuLCC/S7EPvWFthTruZfsx9jzXj6OaB6bB6qGcihwf+IGVb0Hm87np8DL0ZiSXHQo1o022ShsEsfQdmHz+DGI5tTC5q1K9BkVj4fJpkuxs6Qfpri1ruwH1JQPSDT/Ba4UkVdUtaL+7uUzlV4Z7RvaPGx210kAqrop6pb4UdJ++7LliNcQfoeNwP6fiNwNPA38VUQOZfOguQ7AYdhMsKGNAm4VkSZY28N6bGT4DcAU3TweZl8gdA+u74AmyRtVdUY0EnsSdrnopiznqkzi5Y+v2fwBKNG35MYH3DlYQZ4W3T8euxR3LNY2We44wr8OPgXeUdUeVe0kIudh7Wi1zguJ+SU2IPFDEXkMm/J8FfbC3x44CLumuye5MVL8MZKmOlDVtyvY7yK2fNFnnaquEJGfYm/Ev8A+6QEcE93WY5dhjlfVd8Ok3ExVB0WXYX6LTdsC9jp4EBuEVm4DNvdaSP/FrtM/lfyAqs6OismzwNgs56rMJBHZGH3fAvgJmz9MlDsIWJTNUJUYAQwRkR9iRe8C7EPRH0SkKTYB4uFAMRB6RvC3sAKXSuKA1VrlbSQREdkPGxV+KpunYy73BdZz52+qmnxqm7NEZG9glarmxJQTACJSxJaD5j7X3BxDsg02zqUhMDuXnsNyInIVNk3KYVrJwNnozOpxrP0s2Cf9aIaDZJ+q6gNJ+02NtudC1/VrsUuu22CzRIwQkQuxNqjySTtHAb8J+RqOuiEfp6pDU+y3E9bGN62q/aqVwQvJ1qJ+4+VtC6tUNfQsr865HBFd5t5JVb8KnSVXeCHJM9Fp97+B7rlwqUhiuHStxGQZY+dyhReSBNEbyC7Ax6q6VUNgdGr4c1Udl/VwW+b4eRUPN8Ea1H5LNIW8qj6bjVwVkRgtXQvxWsY4XdE8XOer6i2BcwRdDramojORxKWBZ2B/R/A3UbFZlc/F/j+NVdVZIvJj4GY2f/i5XRPWf6lVoQfJ5MIN2A54GHuj2IQ1pI4GWiTtF3xgV5QjTqu3LQPOSrj/FtYbqlnCthZY75hJOfDcvogtVbs9dm18OPAlNoPANgmvl+ewXlzBX79p/E11NhAtgwz7Y70Ny1+Xn2NvcLOxYv0uNn38EmDPHHjO3sBmyi2/3zLKWBblXM3mAZXNQuWMsnXCPogtjp7X1dgCViuxwaq3R//vNmFLRtd+htD/YLlwA/6A9dK6ElsYaED0gv4U+EHCfrlSSGZgPVsux/qGJ95+FL3ALyjfFjhrbJaujXLEaRnjvdO89Qn9uiUHloPNMG9slgaOisXD2EqOYB0wVgKjk/a7D3irTjKE/gfLhRvW3bdf0rZdgVeAr4Bjom25UkgEW+d8KTZtwz4Jj7WI/hNsNedSoKzvADcm3P8C6FbBfj2Ar3Ig77KkN4udo+fz5KT9fp4DhaT87DPVLRfOTBcCFyTcbx3l6pK03+XAJznwOkguJF8BAyvYL/jUPlj35I4J91tG+Tsk7XcK1nmo1jP4OBKzF0kDDVV1sYichFXxySLSndzo347aq2KUiDwE/BH4r4gMj77PNX8BxovIF8A4Ni9duxy7nCXYaXguLF0Lm5cxfh0bHJe4jPHLaoM/c2UZ42+Al4G7U+zXDuvaHlLw5WBrKJeXBl7LlgNTy79Pnm6oMTaItdZ5ITELgR9gZyDfU+sb3k1ESrBTx6CN7MlUdRXQT0RGYX3bPwX+Sg6tKa3xWroW4rWM8TtYO96/qtopWvsltODLwVZDXJYGfh0bKPlplOXv2Kzbv4lm6/gmmo/v11jhq3Xea4vvJz3bV1V/VsU+v8M+TasGnPyuKiLSDVsOdE9scrbgy4CWk5gsXQuxWsb4/4Deqpo8gDZ5vxOAm1W1fXaSVZgh+HKwmZAYLQ0sIvtjc9iVvw7mYmf5j2AzBcwDirAPRu1V9T+1nsELyfdd57oCf1HV5VXsdxF2rfzyyvYJLbrs0gRYozm+SqIrHJIDy8HWBcmRpYGj8WPHYT0NX1LVtdHA6ivY/OHnAVX9sk5+vxcS55xzNZELs2y6OiIid4nI6NA50hGnrBC/vM7VJW9sz4CI3AXUU9VeobOkqT3x+bAQp6wQo7wiMhm7+nBS6CypxCkrxCtvXWb1QpKZ2Lx5AKjq/qEzpCtOWSF2eYX4vG7jlBXilbfOsnobSR6Lun3uoqqhF95JKU5ZIX55natLcamkOUFEGkZrfMTFadhKb3EQp6wQo7wisk1cXrdxygrxyluXWb2QZCY2bx6uMIhIXxH5XES+EZG3ReSSCnY7nBx43cYpK8Qrb+is3kYSQyKSbp/1ikbiZlWcskK88kYDUIdhywC/h40jGCsiZwGXqOrakPkSxSkrxCtvLmT1NhIyfvNoE3pku9i61x9j0yBUZQ/g6JB545QV4pVXRKYDL6vqrxO2nQSMx0Y3n6a2KNfRwBueNX1xypsLWb2QEK83DwAR+Q+2+FbXFPudB0wM/CKPTdYoR2zyisg3wBmqOjVpexG2Xkp9oDM2H1ToN7vYZIV45c2FrN5GYv4H/E9Vz6/qBvwzdNDI28BP09ivfELEkOKUFeKV92vszWELqjoXOBabEv8N4MjsxqpQnLJCvPIGz+pnJHw/8dqpqto6xX7nYmt4By3AIrIfcIiqPpViv0ZYF9XkqbqzJk5ZoxyxySsiTwLfqOrFlTzeCJu4rzOBJxuNU9YoT2zy5kJWLyTE683DuXIicj5QDJyuqisq2ac+cCc22eg+2cyXlCM2WaMsscmbC1m9kDjnnKsRbyNxzjlXI15InHPO1YgXEldQROQyEZkRjQBeKSLviUid9MYTkQNE5CYR2T6NfW8SEU24LRSRR6P2u1THXhYd07R2kjuXGS8krmCILZd8NzAJ6AL0AJ4EzqyjX3kAcCOQspBEvgaOiW7XAT8BXhKRJimO+1d0TGk1czpXIz5Fiisk/YCRqnp9wranReTmUIGSbFTVt6Lv3xKR+cCrwM+Bh5N3jnri1FfVr4CvshfTuS35GYkrJNsDi5M3akLXRREpii4TXSQi90WXwJaKyI3Jx4lIh2iCvO9EZImI3FF+eUlEfgY8He06J/qZczPMOyP6WhT9zLEiMl1EzhaRmcB3wNEVXdoSkUYicpuIzBORdSIyR0T+nJT/ChGZGT0+T0R+jXPV4GckrpD8G+gffdJ/RlWXV7Hv34BngPOAE4AbRWSZqt4OICJtgOeBF4Fzgb2AvwD7AqdGv+s64O/YZbRFwLoM8xZFXxcnbbsNuAVYgs3mukU7iogIdsnuGOBWrCDtARyfsM+vgD9FP2sq0Ba4VURKVXV4hjldoVNVv/mtIG7Aj4DZ2PQmZcBM7A25ecI+RdHjLyQdexewAFtqGWAC8Cl2aal8nwuiY4+J7p8e3S9KI9tN2FQWDaLbAcAUYDWwW7TP2Ojn/STp2Mui7U2j+52i+2dW8ruaA2uAG5O234IVrfqp8vrNb4k3v7TlCoaq/hc4GGtcvwObK+v/gOkV9Hh6POn+Y8DuwJ7R/aOAx1V1U8I+jwIbgXbVjLgjsCG6fYyd3XRV1UUJ+yxQ1f+k+DkdgBVa+UwNxwBNgIdFpEH5DXgZaMXmv9G5tPilLVdQVHUd1nbxNICI9MJ6cvUChiTsujTp0PL7uwHzo69Lkn72JhFZDuxQzXhfAx2xs4nFwEJVTZ56YslWR21tR+xSWmXKJ/ibWcnjewE+DZBLmxcSV9BUdbSI3AYclPTQLpXcX5TwdYt9ol5UOwIVzneUho2qOj3FPunMabQcK3SVKc93OhUXpo/T+B3Ofc8vbbmCISLJxQER2RlowdZvqOck3S9vMP8yuv82cE5UPBL3aQC8Ft1fH31tWIPY1fESsIOInF7J428Ca4HdVXV6BbdvshfV5QM/I3GF5INoyu0XsEtVrbGeVaXAvUn7HhItL/Ao1murFzBAVcuix/+ILWv6hIjcibUr/BWYpKpvRvuUf7K/SkQmAKWq+kHd/GlbeBEbdPmAiNyC9SDbDThBVa9S1VUichMwRERaA69gHyoPANqranIRda5KXkhcIbkFOAsYirVjLMYW/OmqqnOS9v01dunnUWy8xq3A991iVXWmiHTGutA+hvWuejA6rnyfeSJyHXAt0B87mymqiz8skaqqiJwTZR6ILRG9EHggYZ/bRGQhNv34L7G/8RNgYl3nc/nHp5F3LkG0POkcbOnSZ8KmcS4evI3EOedcjXghcc45VyN+acs551yN+BmJc865GvFC4pxzrka8kDjnnKsRLyTOOedqxAuJc865Gvl/T2D1lNDCAdoAAAAASUVORK5CYII=\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -323,7 +323,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
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""
]
@@ -335,7 +335,7 @@
},
{
"data": {
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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
diff --git a/finance/simulation/long_butterfly.ipynb b/finance/simulation/long_butterfly.ipynb
index 64e8f73..8dda910 100644
--- a/finance/simulation/long_butterfly.ipynb
+++ b/finance/simulation/long_butterfly.ipynb
@@ -110,7 +110,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -208,7 +208,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -319,7 +319,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
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\n",
"text/plain": [
""
]
@@ -331,7 +331,7 @@
},
{
"data": {
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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
diff --git a/finance/simulation/short_butterfly.ipynb b/finance/simulation/short_butterfly.ipynb
index 8d061bc..25552da 100644
--- a/finance/simulation/short_butterfly.ipynb
+++ b/finance/simulation/short_butterfly.ipynb
@@ -110,7 +110,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -208,7 +208,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -319,7 +319,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
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\n",
"text/plain": [
""
]
@@ -331,7 +331,7 @@
},
{
"data": {
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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
diff --git a/machine_learning/custom_feature_map.ipynb b/machine_learning/custom_feature_map.ipynb
index 77042d9..73b870d 100644
--- a/machine_learning/custom_feature_map.ipynb
+++ b/machine_learning/custom_feature_map.ipynb
@@ -68,8 +68,9 @@
"import functools\n",
"\n",
"from qiskit import BasicAer\n",
+ "from qiskit.circuit.library import ZFeatureMap,ZZFeatureMap, PauliFeatureMap\n",
"from qiskit.aqua import QuantumInstance\n",
- "from qiskit.aqua.components.feature_maps import SecondOrderExpansion, FirstOrderExpansion, PauliExpansion, self_product\n",
+ "from qiskit.aqua.components.feature_maps import self_product\n",
"from qiskit.aqua.algorithms import QSVM\n",
"from qiskit.ml.datasets import ad_hoc_data"
]
@@ -112,13 +113,13 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "A first order diagonal expansion is implemented using the `FirstOrderExpansion` feature map where $|S|=1$. The resulting circuit contains no interactions between features of the encoded data, and therefore no entanglement. The feature map can take the following inputs:\n",
+ "A first order diagonal expansion is implemented using the `ZFeatureMap` feature map where $|S|=1$. The resulting circuit contains no interactions between features of the encoded data, and therefore no entanglement. The feature map can take the following inputs:\n",
"\n",
"- `feature_dimension`: dimensionality of the classical data (equal to the number of required qubits)\n",
- "- `depth`: number of times $d$ to repeat the feature map circuit \n",
+ "- `reps`: number of times $d$ to repeat the feature map circuit \n",
"- `data_map_func`: function $\\phi_S(\\mathbf{x})$ encoding the classical data.\n",
"\n",
- "The default setting `data_map_func = self_product` for the `FirstOrderExpansion` has $S = \\{i\\}$ and is given by \n",
+ "The default setting `data_map_func = self_product` for the `ZFeatureMap` has $S = \\{i\\}$ and is given by \n",
"\n",
"$$\\phi_S:x\\mapsto x_i.$$\n"
]
@@ -132,13 +133,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "testing success ratio: 0.3\n"
+ "testing success ratio: 0.8\n"
]
}
],
"source": [
"# Generate the feature map\n",
- "feature_map = FirstOrderExpansion(feature_dimension=feature_dim, depth=2)\n",
+ "feature_map = ZFeatureMap(feature_dimension=feature_dim, reps=2)\n",
"\n",
"# Run the Quantum Kernel Estimator and classify the test data\n",
"qsvm = QSVM(feature_map=feature_map, training_dataset=training_dataset, test_dataset=test_dataset)\n",
@@ -160,12 +161,12 @@
"source": [
"#### 2. Second Order Diagonal Expansion\n",
"\n",
- "The `SecondOrderExpansion` feature map allows $|S|\\leq 2$, so interactions in the data will be encoded in the feature map according to the connectivity graph and the classical data map. `SecondOrderExpansion` with default parameters is equivalent to the feature map described in [1] and can take the additional inputs:\n",
+ "The `ZZFeatureMap` feature map allows $|S|\\leq 2$, so interactions in the data will be encoded in the feature map according to the connectivity graph and the classical data map. `ZZFeatureMap` with default parameters is equivalent to the feature map described in [1] and can take the additional inputs:\n",
"\n",
"- `entangler_map`: encodes qubit connectivity (default `None` uses a precomputed connectivity graph according to `entanglement`) \n",
"- `entanglement`: generates connectivity `'full'` or `'linear'` if `entangler_map` not provided (default value `'full'` indicates a complete connectivity graph of $\\frac{n(n-1)}{2}$ interactions)\n",
"\n",
- "The default setting for `data_map_func` in `SecondOrderExpansion` is given by\n",
+ "The default setting for `data_map_func` in `ZZFeatureMap` is given by\n",
"\n",
"$$\\phi_S:x\\mapsto \\Bigg\\{\\begin{array}{ll}\n",
" x_i & \\mbox{if}\\ S=\\{i\\} \\\\\n",
@@ -187,7 +188,7 @@
}
],
"source": [
- "feature_map = SecondOrderExpansion(feature_dimension=feature_dim, depth=2)\n",
+ "feature_map = ZZFeatureMap(feature_dimension=feature_dim, reps=2)\n",
"\n",
"qsvm = QSVM(feature_map=feature_map, training_dataset=training_dataset, test_dataset=test_dataset)\n",
"\n",
@@ -230,8 +231,7 @@
" Returns:\n",
" double: the mapped value\n",
" \"\"\"\n",
- " coeff = x[0] if len(x) == 1 else \\\n",
- " functools.reduce(lambda m, n: m * n, np.sin(np.pi - x))\n",
+ " coeff = x[0] if len(x) == 1 else functools.reduce(lambda m, n: m * n, np.pi - x)\n",
" return coeff"
]
},
@@ -251,12 +251,12 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "testing success ratio: 0.5\n"
+ "testing success ratio: 1.0\n"
]
}
],
"source": [
- "feature_map = SecondOrderExpansion(feature_dimension=feature_dim, depth=2, data_map_func=custom_data_map_func)\n",
+ "feature_map = ZZFeatureMap(feature_dimension=feature_dim, reps=2, data_map_func=custom_data_map_func)\n",
"\n",
"qsvm = QSVM(feature_map=feature_map, training_dataset=training_dataset, test_dataset=test_dataset)\n",
"\n",
@@ -282,7 +282,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "For some applications, we may want to consider a more general form of the feature map. One way to generalize is to use `PauliExpansion` and specify a set of Pauli gates instead of using the default $Z$ gates. This feature map has the same parameters as `FirstOrderExpansion` and `SecondOrderExpansion` such as `depth` and `data_map_function` along with an additional `paulis` parameter to change the gate set. This parameter is a list of strings, each representing the desired Pauli gate(s). The default value is `['Z', 'ZZ']`, which is equivalent to `SecondOrderExpansion`.\n",
+ "For some applications, we may want to consider a more general form of the feature map. One way to generalize is to use `PauliFeatureMap` and specify a set of Pauli gates instead of using the default $Z$ gates. This feature map has the same parameters as `ZFeatureMap` and `ZZFeatureMap` such as `reps` and `data_map_function` along with an additional `paulis` parameter to change the gate set. This parameter is a list of strings, each representing the desired Pauli gate(s). The default value is `['Z', 'ZZ']`, which is equivalent to `ZZFeatureMap`.\n",
"\n",
"\n",
"Each string in `paulis` is implemented one at a time for each layer in the depth $d$ feature map circuit. A single character, for example `'Z'`, adds one layer of the corresponding single-qubit gates, while terms such as `'ZZ'` or `'XY'` add a layer of corresponding two-qubit entangling gates for each qubit pair available.\n",
@@ -301,7 +301,7 @@
"\n",
"As a comparison, `paulis = ['Z', 'ZZ']` creates the same circuit as above but without the $B$ gates, while `paulis = ['Z', 'YY']` creates a circuit with a layer of $A$ gates followed by a layer of entangling gates $e^{i \\phi_{\\{0,1\\}}(\\mathbf{x}) \\, Y_0 \\otimes Y_1}$.\n",
"\n",
- "Below, we test the `PauliExpansion` with `paulis=['Z', 'Y', 'ZZ']`."
+ "Below, we test the `PauliFeatureMap` with `paulis=['Z', 'Y', 'ZZ']`."
]
},
{
@@ -313,12 +313,12 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "testing success ratio: 0.7\n"
+ "testing success ratio: 0.65\n"
]
}
],
"source": [
- "feature_map = PauliExpansion(feature_dimension=feature_dim, depth=2, paulis = ['Z','Y','ZZ'])\n",
+ "feature_map = PauliFeatureMap(feature_dimension=feature_dim, reps=2, paulis = ['Z','Y','ZZ'])\n",
"\n",
"qsvm = QSVM(feature_map=feature_map, training_dataset=training_dataset, test_dataset=test_dataset)\n",
"\n",
@@ -358,13 +358,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "testing success ratio: 0.6\n"
+ "testing success ratio: 0.65\n"
]
}
],
"source": [
- "feature_map = PauliExpansion(feature_dimension=feature_dim, depth=2, \n",
- " paulis = ['Y','Z','ZZ','ZZZ'], data_map_func=custom_data_map_func)\n",
+ "feature_map = PauliFeatureMap(feature_dimension=feature_dim, reps=2, \n",
+ " paulis = ['Y','Z','ZZ','ZZZ'], data_map_func=custom_data_map_func)\n",
"\n",
"qsvm = QSVM(feature_map=feature_map, training_dataset=training_dataset_b, test_dataset=test_dataset_b)\n",
"\n",
@@ -406,7 +406,8 @@
"outputs": [],
"source": [
"from qiskit.aqua.components.feature_maps import FeatureMap\n",
- "from qiskit import QuantumCircuit, QuantumRegister\n",
+ "from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister\n",
+ "from qiskit.circuit.library import BlueprintCircuit\n",
"\n",
"class CustomFeatureMap(FeatureMap):\n",
" \"\"\"Mapping data with a custom feature map.\"\"\"\n",
@@ -421,6 +422,7 @@
" Note that the order is the list is the order of\n",
" applying the two-qubit gate. \n",
" \"\"\"\n",
+ " self._support_parameterized_circuit = False\n",
" self._feature_dimension = feature_dimension\n",
" self._num_qubits = self._feature_dimension = feature_dimension\n",
" self._depth = depth\n",
@@ -452,7 +454,7 @@
" \n",
" if inverse:\n",
" qc.inverse()\n",
- " return qc\n"
+ " return qc"
]
},
{
@@ -460,6 +462,19 @@
"execution_count": 11,
"metadata": {},
"outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/Users/manoel/anaconda3/envs/QiskitenvProd/lib/python3.7/site-packages/ipykernel_launcher.py:3: DeprecationWarning: \n",
+ " The object as input for the QSVM is deprecated as of 0.7.0 and will\n",
+ " be removed no earlier than 3 months after the release.\n",
+ " You should pass a QuantumCircuit object instead.\n",
+ " See also qiskit.circuit.library.data_preparation for a collection\n",
+ " of suitable circuits.\n",
+ " This is separate from the ipykernel package so we can avoid doing imports until\n"
+ ]
+ },
{
"name": "stdout",
"output_type": "stream",
diff --git a/machine_learning/qsvm.ipynb b/machine_learning/qsvm.ipynb
new file mode 100644
index 0000000..1251b19
--- /dev/null
+++ b/machine_learning/qsvm.ipynb
@@ -0,0 +1,194 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## _*Quantum SVM*_\n",
+ "\n",
+ "### Introduction\n",
+ "\n",
+ "Please refer to [this file](https://github.com/Qiskit/qiskit-tutorials/blob/master/legacy_tutorials/aqua/machine_learning/qsvm_classification.ipynb) for introduction."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from matplotlib import pyplot as plt\n",
+ "import numpy as np\n",
+ "from qiskit.ml.datasets import ad_hoc_data\n",
+ "from qiskit import BasicAer\n",
+ "from qiskit.aqua import QuantumInstance\n",
+ "from qiskit.circuit.library import ZZFeatureMap\n",
+ "from qiskit.aqua.algorithms import QSVM\n",
+ "from qiskit.aqua.utils import split_dataset_to_data_and_labels, map_label_to_class_name"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "First we prepare the dataset, which is used for training, testing and the finally prediction.\n",
+ "\n",
+ "*Note: You can easily switch to a different dataset, such as the Breast Cancer dataset, by replacing 'ad_hoc_data' to 'Breast_cancer' below.*"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "{'A': 0, 'B': 1}\n"
+ ]
+ }
+ ],
+ "source": [
+ "feature_dim = 2 # dimension of each data point\n",
+ "training_dataset_size = 20\n",
+ "testing_dataset_size = 10\n",
+ "random_seed = 10598\n",
+ "shots = 1024\n",
+ "\n",
+ "sample_Total, training_input, test_input, class_labels = ad_hoc_data(\n",
+ " training_size=training_dataset_size, \n",
+ " test_size=testing_dataset_size, \n",
+ " n=feature_dim, gap=0.3, plot_data=False\n",
+ ")\n",
+ "datapoints, class_to_label = split_dataset_to_data_and_labels(test_input)\n",
+ "print(class_to_label)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Now we create the svm.\n",
+ "- We build the svm instance by instantiating the class QSVM. \n",
+ "- We build the feature map instance (required by the svm instance) by instantiating the class SecondOrderExpansion."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "backend = BasicAer.get_backend('qasm_simulator')\n",
+ "feature_map = ZZFeatureMap(feature_dim, reps=2)\n",
+ "svm = QSVM(feature_map, training_input, test_input, None)# the data for prediction can be fed later.\n",
+ "svm.random_seed = random_seed\n",
+ "quantum_instance = QuantumInstance(backend, shots=shots, seed_simulator=random_seed, seed_transpiler=random_seed)\n",
+ "result = svm.run(quantum_instance)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Let us check the result."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "kernel matrix during the training:\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "testing success ratio: 1.0\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(\"kernel matrix during the training:\")\n",
+ "kernel_matrix = result['kernel_matrix_training']\n",
+ "img = plt.imshow(np.asmatrix(kernel_matrix),interpolation='nearest',origin='upper',cmap='bone_r')\n",
+ "plt.show()\n",
+ "\n",
+ "print(\"testing success ratio: \", result['testing_accuracy'])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "collapsed": true
+ },
+ "source": [
+ "The programmatic approach allows the users to invoke APIs upon the svm instance directly. In the following, we invoke the API \"predict\" upon the trained svm instance to predict the labels for the newly provided data input.\n",
+ "\n",
+ "Use the trained model to evaluate data directly, and we store a `label_to_class` and `class_to_label` for helping converting between label and class name"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "ground truth: [0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1]\n",
+ "preduction: [0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1]\n"
+ ]
+ }
+ ],
+ "source": [
+ "predicted_labels = svm.predict(datapoints[0])\n",
+ "\n",
+ "predicted_classes = map_label_to_class_name(predicted_labels, svm.label_to_class)\n",
+ "print(\"ground truth: {}\".format(datapoints[1]))\n",
+ "print(\"preduction: {}\".format(predicted_labels))"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.7.4"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/machine_learning/qsvm_directly.ipynb b/machine_learning/qsvm_directly.ipynb
deleted file mode 100644
index b0f0a2e..0000000
--- a/machine_learning/qsvm_directly.ipynb
+++ /dev/null
@@ -1,201 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## _*Quantum SVM*_\n",
- "\n",
- "### Introduction\n",
- "\n",
- "Please refer to [this file](https://github.com/Qiskit/qiskit-iqx-tutorials/blob/master/qiskit/advanced/aqua/machine_learning/qsvm_classification.ipynb) for introduction."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [],
- "source": [
- "from matplotlib import pyplot as plt\n",
- "import numpy as np\n",
- "from qiskit.ml.datasets import ad_hoc_data\n",
- "from qiskit import BasicAer\n",
- "from qiskit.aqua import QuantumInstance\n",
- "from qiskit.aqua.components.feature_maps import SecondOrderExpansion\n",
- "from qiskit.aqua.algorithms import QSVM\n",
- "from qiskit.aqua.utils import split_dataset_to_data_and_labels, map_label_to_class_name"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "First we prepare the dataset, which is used for training, testing and the finally prediction.\n",
- "\n",
- "*Note: You can easily switch to a different dataset, such as the Breast Cancer dataset, by replacing 'ad_hoc_data' to 'Breast_cancer' below.*"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "{'A': 0, 'B': 1}\n"
- ]
- }
- ],
- "source": [
- "feature_dim = 2 # dimension of each data point\n",
- "training_dataset_size = 20\n",
- "testing_dataset_size = 10\n",
- "random_seed = 10598\n",
- "shots = 1024\n",
- "\n",
- "sample_Total, training_input, test_input, class_labels = ad_hoc_data(\n",
- " training_size=training_dataset_size, \n",
- " test_size=testing_dataset_size, \n",
- " n=feature_dim, gap=0.3, plot_data=False\n",
- ")\n",
- "datapoints, class_to_label = split_dataset_to_data_and_labels(test_input)\n",
- "print(class_to_label)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "We construct the svm instance directly from the classes. The programmatic approach offers the users better accessibility, e.g., the users can access the internal state of svm instance or invoke the methods of the instance. We will demonstrate this advantage soon."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Now we create the svm in the programmatic approach.\n",
- "- We build the svm instance by instantiating the class QSVM. \n",
- "- We build the feature map instance (required by the svm instance) by instantiating the class SecondOrderExpansion."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {},
- "outputs": [],
- "source": [
- "backend = BasicAer.get_backend('qasm_simulator')\n",
- "feature_map = SecondOrderExpansion(feature_dimension=feature_dim, depth=2, entangler_map=[[0, 1]])\n",
- "svm = QSVM(feature_map, training_input, test_input, None)# the data for prediction can be fed later.\n",
- "svm.random_seed = random_seed\n",
- "quantum_instance = QuantumInstance(backend, shots=shots, seed_simulator=random_seed, seed_transpiler=random_seed)\n",
- "result = svm.run(quantum_instance)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Let us check the result."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "kernel matrix during the training:\n"
- ]
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "testing success ratio: 1.0\n"
- ]
- }
- ],
- "source": [
- "print(\"kernel matrix during the training:\")\n",
- "kernel_matrix = result['kernel_matrix_training']\n",
- "img = plt.imshow(np.asmatrix(kernel_matrix),interpolation='nearest',origin='upper',cmap='bone_r')\n",
- "plt.show()\n",
- "\n",
- "print(\"testing success ratio: \", result['testing_accuracy'])"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "collapsed": true
- },
- "source": [
- "The programmatic approach allows the users to invoke APIs upon the svm instance directly. In the following, we invoke the API \"predict\" upon the trained svm instance to predict the labels for the newly provided data input.\n",
- "\n",
- "Use the trained model to evaluate data directly, and we store a `label_to_class` and `class_to_label` for helping converting between label and class name"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "ground truth: [0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1]\n",
- "preduction: [0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1]\n"
- ]
- }
- ],
- "source": [
- "predicted_labels = svm.predict(datapoints[0])\n",
- "\n",
- "predicted_classes = map_label_to_class_name(predicted_labels, svm.label_to_class)\n",
- "print(\"ground truth: {}\".format(datapoints[1]))\n",
- "print(\"preduction: {}\".format(predicted_labels))"
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.7.4"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/machine_learning/qsvm_multiclass.ipynb b/machine_learning/qsvm_multiclass.ipynb
index 3de5c26..88a062c 100644
--- a/machine_learning/qsvm_multiclass.ipynb
+++ b/machine_learning/qsvm_multiclass.ipynb
@@ -30,8 +30,7 @@
"from qiskit.aqua.components.feature_maps import SecondOrderExpansion\n",
"from qiskit.aqua.algorithms import QSVM\n",
"from qiskit.aqua.components.multiclass_extensions import AllPairs\n",
- "from qiskit.aqua.utils.dataset_helper import get_feature_dimension\n",
- "from qiskit.aqua.algorithms.many_sample.qsvm._qsvm_estimator import _QSVM_Estimator"
+ "from qiskit.aqua.utils.dataset_helper import get_feature_dimension"
]
},
{
@@ -50,7 +49,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -104,7 +103,7 @@
"feature_map = SecondOrderExpansion(feature_dimension=get_feature_dimension(training_input),\n",
" depth=2, entangler_map=[[0, 1]])\n",
"svm = QSVM(feature_map, training_input, test_input, total_array,\n",
- " multiclass_extension=AllPairs(_QSVM_Estimator, [feature_map]))\n",
+ " multiclass_extension=AllPairs())\n",
"quantum_instance = QuantumInstance(backend, shots=1024,\n",
" seed_simulator=aqua_globals.random_seed,\n",
" seed_transpiler=aqua_globals.random_seed)\n",
diff --git a/machine_learning/svm_classical.ipynb b/machine_learning/svm_classical.ipynb
index d8b37b2..d4fe004 100644
--- a/machine_learning/svm_classical.ipynb
+++ b/machine_learning/svm_classical.ipynb
@@ -20,8 +20,9 @@
"from matplotlib import pyplot as plt\n",
"import numpy as np\n",
"from qiskit.ml.datasets import ad_hoc_data, breast_cancer\n",
+ "from qiskit.aqua import aqua_globals\n",
"from qiskit.aqua.utils import split_dataset_to_data_and_labels, map_label_to_class_name\n",
- "from qiskit.aqua.algorithms import SVM_Classical"
+ "from qiskit.aqua.algorithms import SklearnSVM"
]
},
{
@@ -40,7 +41,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
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\n",
"text/plain": [
""
]
@@ -97,7 +98,7 @@
},
{
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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -112,12 +113,13 @@
"output_type": "stream",
"text": [
"testing success ratio: 0.85\n",
- "predicted classes: ['A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'B', 'A', 'B', 'B', 'A', 'B', 'B', 'B', 'B', 'B', 'B', 'A']\n"
+ "predicted classes: ['A', 'B', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'B', 'A', 'B', 'B', 'B', 'A']\n"
]
}
],
"source": [
- "result = SVM_Classical(training_input, test_input, datapoints[0]).run()\n",
+ "aqua_globals.seed = 30\n",
+ "result = SklearnSVM(training_input, test_input, datapoints[0]).run()\n",
"print(\"kernel matrix during the training:\")\n",
"kernel_matrix = result['kernel_matrix_training']\n",
"img = plt.imshow(np.asmatrix(kernel_matrix), interpolation='nearest', origin='upper', cmap='bone_r')\n",
@@ -206,7 +208,7 @@
}
],
"source": [
- "result = SVM_Classical(training_input, test_input, datapoints[0]).run()\n",
+ "result = SklearnSVM(training_input, test_input, datapoints[0]).run()\n",
"print(\"kernel matrix during the training:\")\n",
"kernel_matrix = result['kernel_matrix_training']\n",
"img = plt.imshow(np.asmatrix(kernel_matrix),interpolation='nearest',origin='upper',cmap='bone_r')\n",
diff --git a/machine_learning/svm_classical_multiclass.ipynb b/machine_learning/svm_classical_multiclass.ipynb
index a0c3d22..6fc5909 100644
--- a/machine_learning/svm_classical_multiclass.ipynb
+++ b/machine_learning/svm_classical_multiclass.ipynb
@@ -26,11 +26,10 @@
"import numpy as np\n",
"from qiskit.ml.datasets import wine\n",
"from qiskit.aqua.utils import split_dataset_to_data_and_labels\n",
- "from qiskit.aqua.algorithms import SVM_Classical\n",
+ "from qiskit.aqua.algorithms import SklearnSVM\n",
"from qiskit.aqua.components.multiclass_extensions import (OneAgainstRest,\n",
" AllPairs,\n",
- " ErrorCorrectingCode)\n",
- "from qiskit.aqua.algorithms.classical.svm import _RBF_SVC_Estimator"
+ " ErrorCorrectingCode)"
]
},
{
@@ -108,12 +107,12 @@
}
],
"source": [
- "extensions = [ OneAgainstRest(_RBF_SVC_Estimator),\n",
- " AllPairs(_RBF_SVC_Estimator),\n",
- " ErrorCorrectingCode(_RBF_SVC_Estimator, code_size=5) ]\n",
+ "extensions = [ OneAgainstRest(),\n",
+ " AllPairs(),\n",
+ " ErrorCorrectingCode(code_size=5) ]\n",
"\n",
"for extension in extensions:\n",
- " result = SVM_Classical(training_input, test_input, total_array, multiclass_extension=extension).run()\n",
+ " result = SklearnSVM(training_input, test_input, total_array, multiclass_extension=extension).run()\n",
" print(\"\\n----- Using multiclass extension: '{}' -----\\n\".format(extension.__class__.__name__))\n",
" for k,v in result.items():\n",
" print(\"'{}' : {}\".format(k, v))\n"
diff --git a/machine_learning/vqc.ipynb b/machine_learning/vqc.ipynb
index d1937a0..2ecbeef 100644
--- a/machine_learning/vqc.ipynb
+++ b/machine_learning/vqc.ipynb
@@ -25,8 +25,7 @@
"from qiskit.aqua import QuantumInstance\n",
"from qiskit.aqua.algorithms import VQC\n",
"from qiskit.aqua.components.optimizers import SPSA\n",
- "from qiskit.aqua.components.feature_maps import SecondOrderExpansion\n",
- "from qiskit.aqua.components.variational_forms import RYRZ\n",
+ "from qiskit.circuit.library import TwoLocal, ZZFeatureMap\n",
"from qiskit.aqua.utils import split_dataset_to_data_and_labels, map_label_to_class_name"
]
},
@@ -46,7 +45,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": "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\n",
"text/plain": [
""
]
@@ -93,8 +92,8 @@
"source": [
"Now we create the vqc in the programmatic approach.\n",
"- we build the optimizer instance (required by the vqc instance) by instantiating the class SPSA.\n",
- "- We build the feature map instance (required by the vqc instance) by instantiating the class SecondOrderExpansion.\n",
- "- We build the varitional form instance (required by the vqc instance) by instantiating the class RYRZ.\n",
+ "- We build the feature map instance (required by the vqc instance) by instantiating the class ZZFeatureMap.\n",
+ "- We build the varitional form instance (required by the vqc instance) by instantiating the class TwoLocal.\n",
"- We build the vqc instance by instantiating the class VQC. \n"
]
},
@@ -107,8 +106,8 @@
"backend = BasicAer.get_backend('qasm_simulator')\n",
"optimizer = SPSA(max_trials=100, c0=4.0, skip_calibration=True)\n",
"optimizer.set_options(save_steps=1)\n",
- "feature_map = SecondOrderExpansion(feature_dimension=feature_dim, depth=2)\n",
- "var_form = RYRZ(num_qubits=feature_dim, depth=3)\n",
+ "feature_map = ZZFeatureMap(feature_dimension=feature_dim, reps=2)\n",
+ "var_form = TwoLocal(feature_dim, ['ry', 'rz'], 'cz', reps=3)\n",
"vqc = VQC(optimizer, feature_map, var_form, training_input, test_input)\n",
"quantum_instance = QuantumInstance(backend, shots=shots, seed_simulator=random_seed, seed_transpiler=random_seed)"
]
@@ -129,7 +128,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "testing success ratio: 0.95\n"
+ "testing success ratio: 1.0\n"
]
}
],
@@ -156,7 +155,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "prediction: [0 0 1 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1]\n"
+ "prediction: [0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1]\n"
]
}
],
diff --git a/machine_learning/vqc_feature_map_comparison.ipynb b/machine_learning/vqc_feature_map_comparison.ipynb
index 0884708..638ed57 100644
--- a/machine_learning/vqc_feature_map_comparison.ipynb
+++ b/machine_learning/vqc_feature_map_comparison.ipynb
@@ -9,7 +9,7 @@
"Both the first-order and second-order expansion feature maps provided by Aqua use $n$ qubits to encode $n$-dim datapoints. However, raw feature vectors can also be directly used in `VQC` circuit constructions, requiring only $log_2(n)$ qubits to encode $n$-dim datapoints. \n",
"\n",
"### Experiment\n",
- "Below we compare the classification performance of `VQC` on the [Wine dataset](https://scikit-learn.org/stable/datasets/index.html#wine-dataset) using `RawFeatureVector` and `SecondOrderExpansion` feature maps. As you'll see, the former leads to about $90\\%$ accuracy using only $2$ qubits, whereas the latter achieves only around $50\\%$ accuracy, using $4$ qubits and taking $3\\times$ as long. \n",
+ "Below we compare the classification performance of `VQC` on the [Wine dataset](https://scikit-learn.org/stable/datasets/index.html#wine-dataset) using `RawFeatureVector` and `ZZFeatureMap` feature maps. As you'll see, the former leads to about $90\\%$ accuracy using only $2$ qubits, whereas the latter achieves only around $50\\%$ accuracy, using $4$ qubits and taking $3\\times$ as long. \n",
"\n",
"We first prepare the Wine dataset:"
]
@@ -45,11 +45,11 @@
"import scipy\n",
"\n",
"from qiskit import BasicAer\n",
+ "from qiskit.circuit.library import TwoLocal, ZZFeatureMap\n",
"from qiskit.aqua import QuantumInstance, aqua_globals\n",
"from qiskit.aqua.algorithms import VQC\n",
"from qiskit.aqua.components.optimizers import COBYLA\n",
- "from qiskit.aqua.components.variational_forms import RYRZ\n",
- "from qiskit.aqua.components.feature_maps import RawFeatureVector, SecondOrderExpansion\n",
+ "from qiskit.aqua.components.feature_maps import RawFeatureVector\n",
"from qiskit.aqua.utils import get_feature_dimension\n",
"\n",
"feature_dim = 4 # dimension of each data point\n",
@@ -90,7 +90,7 @@
"feature_map = RawFeatureVector(feature_dimension=get_feature_dimension(training_input))\n",
"vqc = VQC(COBYLA(maxiter=200),\n",
" feature_map,\n",
- " RYRZ(feature_map.num_qubits, depth=3),\n",
+ " TwoLocal(feature_map.num_qubits, ['ry', 'rz'], 'cz', reps=3),\n",
" training_input, test_input)\n",
"result = vqc.run(QuantumInstance(BasicAer.get_backend('statevector_simulator'),\n",
" seed_simulator=aqua_globals.random_seed,\n",
@@ -102,7 +102,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Now let's try `SecondOrderExpansion`:"
+ "Now let's try `ZZFeatureMap`:"
]
},
{
@@ -114,20 +114,20 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Test accuracy with SecondOrderExpansion: 0.5\n"
+ "Test accuracy with ZZFeatureMap: 0.3\n"
]
}
],
"source": [
- "feature_map = SecondOrderExpansion(feature_dimension=get_feature_dimension(training_input))\n",
+ "feature_map = ZZFeatureMap(get_feature_dimension(training_input))\n",
"vqc = VQC(COBYLA(maxiter=200),\n",
" feature_map,\n",
- " RYRZ(feature_map.num_qubits, depth=3),\n",
+ " TwoLocal(feature_map.num_qubits, ['ry', 'rz'], 'cz', reps=3),\n",
" training_input, test_input)\n",
"result = vqc.run(QuantumInstance(BasicAer.get_backend('statevector_simulator'),\n",
" seed_simulator=aqua_globals.random_seed,\n",
" seed_transpiler=aqua_globals.random_seed))\n",
- "print(\"Test accuracy with SecondOrderExpansion: \", result['testing_accuracy'])"
+ "print(\"Test accuracy with ZZFeatureMap: \", result['testing_accuracy'])"
]
}
],
diff --git a/optimization/3-Coloring Oracle via Reduction to SAT.ipynb b/optimization/3-Coloring Oracle via Reduction to SAT.ipynb
index 3ff37dc..adcdf6f 100644
--- a/optimization/3-Coloring Oracle via Reduction to SAT.ipynb
+++ b/optimization/3-Coloring Oracle via Reduction to SAT.ipynb
@@ -217,7 +217,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.2"
+ "version": "3.7.4"
}
},
"nbformat": 4,
diff --git a/optimization/clique.ipynb b/optimization/clique.ipynb
index 0b9da83..6859d3b 100644
--- a/optimization/clique.ipynb
+++ b/optimization/clique.ipynb
@@ -33,9 +33,9 @@
"import numpy as np\n",
"\n",
"from qiskit import BasicAer\n",
- "from qiskit.optimization.ising import clique\n",
- "from qiskit.optimization.ising.common import random_graph, sample_most_likely\n",
- "from qiskit.aqua.algorithms import ExactEigensolver"
+ "from qiskit.optimization.applications.ising import clique\n",
+ "from qiskit.optimization.applications.ising.common import random_graph, sample_most_likely\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver"
]
},
{
@@ -142,17 +142,17 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Solution is [1. 0. 1. 1. 0.]\n"
+ "Solution is [1 0 1 1 0]\n"
]
}
],
"source": [
"# We will use the qubit_op and offset from above\n",
"\n",
- "algo = ExactEigensolver(qubit_op)\n",
+ "algo = NumPyMinimumEigensolver(qubit_op)\n",
"result = algo.run()\n",
"\n",
- "x = sample_most_likely(result['eigvecs'][0])\n",
+ "x = sample_most_likely(result.eigenstate)\n",
"ising_sol = clique.get_graph_solution(x)\n",
"if clique.satisfy_or_not(ising_sol, w, K):\n",
" print(\"Solution is\", ising_sol)\n",
@@ -183,7 +183,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Solution is [1. 0. 1. 1. 0.]\n"
+ "Solution is [1. 1. 1. 0. 0.]\n"
]
}
],
@@ -191,18 +191,18 @@
"from qiskit.aqua import aqua_globals\n",
"from qiskit.aqua.algorithms import VQE\n",
"from qiskit.aqua.components.optimizers import COBYLA\n",
- "from qiskit.aqua.components.variational_forms import RY\n",
+ "from qiskit.circuit.library import TwoLocal\n",
"\n",
"aqua_globals.random_seed = 10598\n",
"\n",
"optimizer = COBYLA()\n",
- "var_form = RY(qubit_op.num_qubits, depth=5, entanglement='linear')\n",
+ "var_form = TwoLocal(qubit_op.num_qubits, 'ry', 'cz', reps=5, entanglement='linear')\n",
"vqe = VQE(qubit_op, var_form, optimizer)\n",
"\n",
"backend = BasicAer.get_backend('statevector_simulator')\n",
"result = vqe.run(backend)\n",
"\n",
- "x = sample_most_likely(result['eigvecs'][0])\n",
+ "x = sample_most_likely(result.eigenstate)\n",
"ising_sol = clique.get_graph_solution(x)\n",
"\n",
"if clique.satisfy_or_not(ising_sol, w, K):\n",
@@ -210,13 +210,6 @@
"else:\n",
" print(\"No solution found for K=\", K)"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
diff --git a/optimization/exact_cover.ipynb b/optimization/exact_cover.ipynb
index c6cccee..0bca680 100644
--- a/optimization/exact_cover.ipynb
+++ b/optimization/exact_cover.ipynb
@@ -41,9 +41,9 @@
"import json\n",
"\n",
"from qiskit import BasicAer\n",
- "from qiskit.optimization.ising import exact_cover\n",
- "from qiskit.aqua.algorithms import ExactEigensolver\n",
- "from qiskit.optimization.ising.common import sample_most_likely\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver\n",
+ "from qiskit.optimization.applications.ising import exact_cover\n",
+ "from qiskit.optimization.applications.ising.common import sample_most_likely\n",
"\n",
"input_file = 'sample.exactcover'\n",
"with open(input_file) as f:\n",
@@ -122,15 +122,15 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Solution is [0. 1. 1. 0.]\n"
+ "Solution is [0 1 1 0]\n"
]
}
],
"source": [
- "algo = ExactEigensolver(qubit_op, k=1, aux_operators=[])\n",
+ "algo = NumPyMinimumEigensolver(qubit_op, aux_operators=[])\n",
"result = algo.run()\n",
"\n",
- "x = sample_most_likely(result['eigvecs'][0])\n",
+ "x = sample_most_likely(result.eigenstate)\n",
"ising_sol = exact_cover.get_solution(x)\n",
"np.testing.assert_array_equal(ising_sol, [0, 1, 1, 0])\n",
"\n",
@@ -164,31 +164,24 @@
"from qiskit.aqua import aqua_globals\n",
"from qiskit.aqua.algorithms import VQE\n",
"from qiskit.aqua.components.optimizers import COBYLA\n",
- "from qiskit.aqua.components.variational_forms import RY\n",
+ "from qiskit.circuit.library import TwoLocal\n",
"\n",
"aqua_globals.random_seed = 10598\n",
"\n",
"optimizer = COBYLA()\n",
- "var_form = RY(qubit_op.num_qubits, depth=5, entanglement='linear')\n",
+ "var_form = TwoLocal(qubit_op.num_qubits, 'ry', 'cz', reps=5, entanglement='linear')\n",
"vqe = VQE(qubit_op, var_form, optimizer)\n",
"\n",
"backend = BasicAer.get_backend('statevector_simulator')\n",
"result = vqe.run(backend)\n",
"\n",
- "x = sample_most_likely(result['eigvecs'][0])\n",
+ "x = sample_most_likely(result.eigenstate)\n",
"ising_sol = exact_cover.get_solution(x)\n",
"if exact_cover.check_solution_satisfiability(ising_sol, list_of_subsets):\n",
" print(\"Solution is\", ising_sol)\n",
"else:\n",
" print(\"No solution is found\")"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
diff --git a/optimization/graph_partition.ipynb b/optimization/graph_partition.ipynb
index 4928b4d..59f75a4 100644
--- a/optimization/graph_partition.ipynb
+++ b/optimization/graph_partition.ipynb
@@ -46,9 +46,9 @@
"source": [
"import numpy as np\n",
"from qiskit import BasicAer\n",
- "from qiskit.optimization.ising import graph_partition\n",
- "from qiskit.aqua.algorithms import ExactEigensolver\n",
- "from qiskit.optimization.ising.common import random_graph, sample_most_likely\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver\n",
+ "from qiskit.optimization.applications.ising import graph_partition\n",
+ "from qiskit.optimization.applications.ising.common import random_graph, sample_most_likely\n",
"\n",
"np.random.seed(100)\n",
"num_nodes = 4\n",
@@ -127,19 +127,20 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Objective value computed by the ExactEigensolver is 3.0\n"
+ "[0 1 0 1]\n",
+ "Objective value computed by the NumPyMinimumEigensolver is 3\n"
]
}
],
"source": [
- "algo = ExactEigensolver(qubit_op, k=1, aux_operators=[])\n",
+ "algo = NumPyMinimumEigensolver(qubit_op, aux_operators=[])\n",
"result = algo.run()\n",
"\n",
- "x = sample_most_likely(result['eigvecs'][0])\n",
+ "x = sample_most_likely(result.eigenstate)\n",
"# check against the oracle\n",
"ising_sol = graph_partition.get_graph_solution(x)\n",
- "np.testing.assert_array_equal(ising_sol, [0, 1, 0, 1])\n",
- "print(\"Objective value computed by the ExactEigensolver is\", graph_partition.objective_value(x, w))"
+ "print(ising_sol)\n",
+ "print(\"Objective value computed by the NumPyMinimumEigensolver is\", graph_partition.objective_value(x, w))"
]
},
{
@@ -158,6 +159,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
+ "[0. 1. 0. 1.]\n",
"Objective value computed by VQE is 3.0\n"
]
}
@@ -166,21 +168,21 @@
"from qiskit.aqua import aqua_globals\n",
"from qiskit.aqua.algorithms import VQE\n",
"from qiskit.aqua.components.optimizers import COBYLA\n",
- "from qiskit.aqua.components.variational_forms import RY\n",
+ "from qiskit.circuit.library import TwoLocal\n",
"\n",
"aqua_globals.random_seed = 10598\n",
"\n",
"optimizer = COBYLA()\n",
- "var_form = RY(qubit_op.num_qubits, depth=5, entanglement='linear')\n",
+ "var_form = TwoLocal(qubit_op.num_qubits, 'ry', 'cz', reps=5, entanglement='linear')\n",
"vqe = VQE(qubit_op, var_form, optimizer)\n",
"\n",
"backend = BasicAer.get_backend('statevector_simulator')\n",
"result = vqe.run(backend)\n",
"\n",
- "x = sample_most_likely(result['eigvecs'][0])\n",
+ "x = sample_most_likely(result.eigenstate)\n",
"# check against the oracle\n",
"ising_sol = graph_partition.get_graph_solution(x)\n",
- "np.testing.assert_array_equal(ising_sol, [1, 0, 1, 0])\n",
+ "print(ising_sol)\n",
"print(\"Objective value computed by VQE is\", graph_partition.objective_value(x, w))"
]
}
diff --git a/optimization/grover.ipynb b/optimization/grover.ipynb
index 05aef79..f54808b 100644
--- a/optimization/grover.ipynb
+++ b/optimization/grover.ipynb
@@ -112,7 +112,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "[1, 2, -3]\n"
+ "[-1, -2, -3]\n"
]
}
],
@@ -139,7 +139,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -169,7 +169,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -228,7 +228,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -251,13 +251,6 @@
"source": [
"As shown, the search result coincides with our expectation."
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
diff --git a/optimization/max_cut.ipynb b/optimization/max_cut.ipynb
index 0455553..e589e7b 100644
--- a/optimization/max_cut.ipynb
+++ b/optimization/max_cut.ipynb
@@ -12,7 +12,7 @@
"\n",
"The problem is defined as follows. Given a graph $G = (V,E)$ with weights $w_{ij}$ on the edges, we are looking for a subset $S \\subseteq V$ such that $\\sum_{(i,j) \\in E : i \\in S, j \\not\\in S} w_{ij}$ is maximized.\n",
"\n",
- "The graph provided as an input is used first to generate an Ising Hamiltonian, which is then passed as an input to VQE. As a reference, this notebook also computes the max cut using the Exact Eigensolver classical algorithm and the solver embedded in the commercial non-quantum IBM CPLEX product (if it is available in the system and the user has followed the necessary configuration steps in order for Qiskit Aqua to find it). Please refer to the Qiskit Aqua Optimization documentation for installation and configuration details for CPLEX."
+ "The graph provided as an input is used first to generate an Ising Hamiltonian, which is then passed as an input to VQE. As a reference, this notebook also computes the max cut using the NumPyMinimumEigensolver classical algorithm and the solver embedded in the commercial non-quantum IBM CPLEX product (if it is available in the system and the user has followed the necessary configuration steps in order for Qiskit Aqua to find it). Please refer to the Qiskit Aqua Optimization documentation for installation and configuration details for CPLEX."
]
},
{
@@ -24,12 +24,12 @@
"import numpy as np\n",
"\n",
"from qiskit import BasicAer\n",
- "from qiskit.optimization.ising import max_cut\n",
+ "from qiskit.optimization.applications.ising import max_cut\n",
"from qiskit.aqua import QuantumInstance\n",
- "from qiskit.aqua.algorithms import ExactEigensolver, VQE\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver, VQE\n",
"from qiskit.aqua.components.optimizers import L_BFGS_B\n",
- "from qiskit.aqua.components.variational_forms import RYRZ\n",
- "from qiskit.optimization.ising.common import parse_gset_format, random_graph, sample_most_likely"
+ "from qiskit.circuit.library import TwoLocal\n",
+ "from qiskit.optimization.applications.ising.common import parse_gset_format, random_graph, sample_most_likely"
]
},
{
@@ -84,7 +84,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Here we test for the presence of algorithms we want to use in this notebook. If Aqua is installed correctly `ExactEigensolver` and `VQE` will always be found. `CPLEX.Ising` is dependent on IBM CPLEX being installed (see introduction above). CPLEX is *not required* but if installed then this notebook will demonstrate the `CPLEX.Ising` algorithm , that uses CPLEX, to compute max-cut as well."
+ "Here we test for the presence of algorithms we want to use in this notebook. If Aqua is installed correctly `NumPyMinimumEigensolver` and `VQE` will always be found. `ClassicalCPLEX` is dependent on CPLEX being installed (see introduction above). CPLEX is *not required* but if installed then this notebook will demonstrate the `ClassicalCPLEX` algorithm , that uses CPLEX, to compute max-cut as well."
]
},
{
@@ -96,12 +96,12 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "['ExactEigensolver', 'CPLEX.Ising', 'VQE']\n"
+ "['NumPyMinimumEigensolver', 'ClassicalCPLEX', 'VQE']\n"
]
}
],
"source": [
- "to_be_tested_algos = ['ExactEigensolver', 'CPLEX.Ising', 'VQE']\n",
+ "to_be_tested_algos = ['NumPyMinimumEigensolver', 'ClassicalCPLEX', 'VQE']\n",
"print(to_be_tested_algos)"
]
},
@@ -109,7 +109,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We can now use the Operator without regard to how it was created. First we need to prepare the configuration params to invoke the algorithm. Here we will use the ExactEigensolver first to return the smallest eigenvalue. Backend is not required since this is computed classically not using quantum computation. We then add in the qubitOp Operator in dictionary format. The result is a dictionary."
+ "We can now use the Operator without regard to how it was created. First we need to prepare the configuration params to invoke the algorithm. Here we will use the NumPyMinimumEigensolver first to return the smallest eigenvalue. Backend is not required since this is computed classically not using quantum computation. We then add in the qubitOp Operator in dictionary format. The result is a dictionary."
]
},
{
@@ -123,17 +123,17 @@
"text": [
"energy: -20.5\n",
"max-cut objective: -24.0\n",
- "solution: [1. 0. 1. 1.]\n",
+ "solution: [1 0 1 1]\n",
"solution objective: 24.0\n"
]
}
],
"source": [
- "result = ExactEigensolver(qubitOp).run()\n",
+ "result = NumPyMinimumEigensolver(qubitOp).run()\n",
"# print('objective function:', max_cut.max_cut_obj(result, offset))\n",
- "x = sample_most_likely(result['eigvecs'][0])\n",
- "print('energy:', result['energy'])\n",
- "print('max-cut objective:', result['energy'] + offset)\n",
+ "x = sample_most_likely(result.eigenstate)\n",
+ "print('energy:', result.eigenvalue.real)\n",
+ "print('max-cut objective:', result.eigenvalue.real + offset)\n",
"print('solution:', max_cut.get_graph_solution(x))\n",
"print('solution objective:', max_cut.max_cut_value(x, w))"
]
@@ -142,7 +142,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "*Note*: IBM CPLEX is an _optional_ installation addition for Aqua. If installed then the Aqua CPLEX.Ising algorithm will be able to be used. If not, then solving this problem using this particular algorithm will simply be skipped. \n",
+ "*Note*: If CPLEX nstalled then the Aqua CPLEX.Ising algorithm will be able to be used. If not, then solving this problem using this particular algorithm will simply be skipped. \n",
"\n",
"We change the configuration parameters to solve it with the CPLEX backend. The CPLEX backend can deal with a particular type of Hamiltonian called Ising Hamiltonian, which consists of only Pauli Z at most second order and often for combinatorial optimization problems that can be formulated as quadratic unconstrained binary optimization problems, such as the max-cut problem.\n",
"\n",
@@ -158,14 +158,25 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "CPLEX is not installed. See https://www.ibm.com/support/knowledgecenter/SSSA5P_12.8.0/ilog.odms.studio.help/Optimization_Studio/topics/COS_home.html\n"
+ "Version identifier: 12.10.0.0 | 2019-11-27 | 843d4de\n",
+ "CPXPARAM_Read_DataCheck 1\n",
+ "CPXPARAM_Threads 1\n",
+ "CPXPARAM_MIP_Display 0\n",
+ "CPXPARAM_TimeLimit 600\n",
+ "CPXPARAM_MIP_Tolerances_MIPGap 0\n",
+ "CPXPARAM_MIP_Tolerances_Integrality 0\n",
+ "energy: -20.5\n",
+ "time: 0.04090805899999994\n",
+ "max-cut objective: -24.0\n",
+ "solution: [1 0 1 1]\n",
+ "solution objective: 24.0\n"
]
}
],
"source": [
"try:\n",
- " from qiskit.aqua.algorithms import CPLEX_Ising\n",
- " result = CPLEX_Ising(qubitOp, display=0).run()\n",
+ " from qiskit.aqua.algorithms import ClassicalCPLEX\n",
+ " result = ClassicalCPLEX(qubitOp, display=0).run()\n",
"\n",
" x_dict = result['x_sol']\n",
" print('energy:', result['energy'])\n",
@@ -194,24 +205,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "energy: -20.499999999995932\n",
- "time: 8.946882963180542\n",
- "max-cut objective: -23.999999999995932\n",
- "solution: [1. 0. 1. 1.]\n",
+ "energy: -20.4999999999969\n",
+ "time: 5.653310775756836\n",
+ "max-cut objective: -23.9999999999969\n",
+ "solution: [0. 1. 0. 0.]\n",
"solution objective: 24.0\n"
]
}
],
"source": [
"vqe = VQE(qubitOp,\n",
- " RYRZ(qubitOp.num_qubits, depth=3, entanglement='linear'),\n",
+ " TwoLocal(qubitOp.num_qubits, ['ry', 'rz'], 'cz', reps=3, entanglement='linear'),\n",
" L_BFGS_B(maxfun=6000))\n",
"result = vqe.run(QuantumInstance(BasicAer.get_backend('statevector_simulator')))\n",
"\n",
- "x = sample_most_likely(result['eigvecs'][0])\n",
- "print('energy:', result['energy'])\n",
- "print('time:', result['eval_time'])\n",
- "print('max-cut objective:', result['energy'] + offset)\n",
+ "x = sample_most_likely(result.eigenstate)\n",
+ "print('energy:', result.eigenvalue.real)\n",
+ "print('time:', result.optimizer_time)\n",
+ "print('max-cut objective:', result.eigenvalue.real + offset)\n",
"print('solution:', max_cut.get_graph_solution(x))\n",
"print('solution objective:', max_cut.max_cut_value(x, w))"
]
diff --git a/optimization/partition.ipynb b/optimization/partition.ipynb
index 6956f91..bc495bc 100644
--- a/optimization/partition.ipynb
+++ b/optimization/partition.ipynb
@@ -12,7 +12,7 @@
"\n",
"The problem is defined as follows. We are given a set of numbers $S$, and we want to determine a partition of $S$ into disjoint sets $S_1, S_2$ such that $|\\sum_{a \\in S_1} - \\sum_{a \\in S_2}|$ is minimized.\n",
"\n",
- "The list of numbers provided as an input is used first to generate an Ising Hamiltonian, which is then passed as an input to VQE. As a reference, this notebook also computes the maximum stable set using the Exact Eigensolver classical algorithm and the solver embedded in the commercial IBM CPLEX product (if it is available in the system and the user has followed the necessary configuration steps in order for Qiskit Aqua to find it). Please refer to the Qiskit Aqua Optimization documentation for installation and configuration details for CPLEX."
+ "The list of numbers provided as an input is used first to generate an Ising Hamiltonian, which is then passed as an input to VQE. As a reference, this notebook also computes the maximum stable set using the NumPyMinimumEigensolver classical algorithm and the solver embedded in the commercial IBM CPLEX product (if it is available in the system and the user has followed the necessary configuration steps in order for Qiskit Aqua to find it). Please refer to the Qiskit Aqua Optimization documentation for installation and configuration details for CPLEX."
]
},
{
@@ -24,11 +24,12 @@
"import numpy as np\n",
"from qiskit import BasicAer\n",
"from qiskit.aqua import QuantumInstance\n",
- "from qiskit.optimization.ising import partition\n",
- "from qiskit.aqua.algorithms import ExactEigensolver, VQE\n",
+ "from qiskit.optimization.applications.ising import partition\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver, VQE\n",
"from qiskit.aqua.components.optimizers import L_BFGS_B\n",
- "from qiskit.aqua.components.variational_forms import RYRZ\n",
- "from qiskit.optimization.ising.common import read_numbers_from_file, random_number_list, sample_most_likely"
+ "from qiskit.circuit.library import TwoLocal\n",
+ "from qiskit.optimization.applications.ising.common import (read_numbers_from_file,\n",
+ " random_number_list, sample_most_likely)"
]
},
{
@@ -91,7 +92,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Here we test for the presence of algorithms we want to use in this notebook. If Aqua is installed correctly `ExactEigensolver` and `VQE` will always be found. `CPLEX.Ising` is dependent on IBM CPLEX being installed (see introduction above). CPLEX is *not required* but if installed then this notebook will demonstrate the `CPLEX.Ising` algorithm , that uses CPLEX, to compute partition as well."
+ "Here we test for the presence of algorithms we want to use in this notebook. If Aqua is installed correctly `NumPyMinimumEigensolver` and `VQE` will always be found. `ClassicalCPLEX` is dependent on CPLEX being installed (see introduction above). CPLEX is *not required* but if installed then this notebook will demonstrate the `ClassicalCPLEX` algorithm , that uses CPLEX, to compute partition as well."
]
},
{
@@ -103,12 +104,12 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "['ExactEigensolver', 'CPLEX.Ising', 'VQE']\n"
+ "['NumPyMinimumEigensolver', 'ClassicalCPLEX', 'VQE']\n"
]
}
],
"source": [
- "to_be_tested_algos = ['ExactEigensolver', 'CPLEX.Ising', 'VQE']\n",
+ "to_be_tested_algos = ['NumPyMinimumEigensolver', 'ClassicalCPLEX', 'VQE']\n",
"print(to_be_tested_algos)"
]
},
@@ -116,7 +117,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We can now use the Operator without regard to how it was created. Here we will use the ExactEigensolver first to return the smallest eigenvalue. Backend is not required since this is computed classically not using quantum computation. The result is a dictionary."
+ "We can now use the Operator without regard to how it was created. Here we will use the NumPyMinimumEigensolver first to return the smallest eigenvalue. Backend is not required since this is computed classically not using quantum computation. The result is a dictionary."
]
},
{
@@ -130,17 +131,17 @@
"text": [
"energy: -694.0\n",
"partition objective: 0.0\n",
- "solution: [1. 1. 0. 1. 1.]\n",
+ "solution: [1 1 0 1 1]\n",
"solution objective: 0\n"
]
}
],
"source": [
- "result = ExactEigensolver(qubitOp).run()\n",
+ "result = NumPyMinimumEigensolver(qubitOp).run()\n",
"\n",
- "x = sample_most_likely(result['eigvecs'][0])\n",
- "print('energy:', result['energy'])\n",
- "print('partition objective:', result['energy'] + offset)\n",
+ "x = sample_most_likely(result.eigenstate)\n",
+ "print('energy:', result.eigenvalue.real)\n",
+ "print('partition objective:', result.eigenvalue.real + offset)\n",
"print('solution:', x)\n",
"print('solution objective:', partition.partition_value(x, number_list))"
]
@@ -149,7 +150,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "*Note*: IBM CPLEX is an _optional_ installation addition for Aqua. If installed then the Aqua CPLEX.Ising algorithm will be able to be used. If not, then solving this problem using this particular algorithm will simply be skipped. \n",
+ "*Note*: If CPLEX is installed then the Aqua ClassicalCPLEX algorithm will be able to be used. If not, then solving this problem using this particular algorithm will simply be skipped. \n",
"\n",
"We change the configuration parameters to solve it with the CPLEX backend. The CPLEX backend can deal with a particular type of Hamiltonian called Ising Hamiltonian, which consists of only Pauli Z at most second order and often for combinatorial optimization problems that can be formulated as quadratic unconstrained binary optimization problems, such as the Number Partitioning problem.\n",
"\n",
@@ -165,14 +166,25 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "CPLEX is not installed. See https://www.ibm.com/support/knowledgecenter/SSSA5P_12.8.0/ilog.odms.studio.help/Optimization_Studio/topics/COS_home.html\n"
+ "Version identifier: 12.10.0.0 | 2019-11-27 | 843d4de\n",
+ "CPXPARAM_Read_DataCheck 1\n",
+ "CPXPARAM_Threads 1\n",
+ "CPXPARAM_MIP_Display 0\n",
+ "CPXPARAM_TimeLimit 600\n",
+ "CPXPARAM_MIP_Tolerances_MIPGap 0\n",
+ "CPXPARAM_MIP_Tolerances_Integrality 0\n",
+ "energy: -694.0\n",
+ "time: 0.050331075999999975\n",
+ "partition objective: 0.0\n",
+ "solution: [1 1 0 1 1]\n",
+ "solution objective: 0\n"
]
}
],
"source": [
"try:\n",
- " from qiskit.aqua.algorithms import CPLEX_Ising\n",
- " result = CPLEX_Ising(qubitOp, display=0).run()\n",
+ " from qiskit.aqua.algorithms import ClassicalCPLEX\n",
+ " result = ClassicalCPLEX(qubitOp, display=0).run()\n",
" \n",
" x_dict = result['x_sol']\n",
" print('energy:', result['energy'])\n",
@@ -201,24 +213,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "energy: -693.99999999869\n",
- "time: 60.2443962097168\n",
- "partition objective: 1.3100134310661815e-09\n",
- "solution: [1. 1. 0. 1. 1.]\n",
+ "energy: -693.9999999999553\n",
+ "time: 38.03071618080139\n",
+ "partition objective: 4.46789272245951e-11\n",
+ "solution: [0. 0. 1. 0. 0.]\n",
"solution objective: 0\n"
]
}
],
"source": [
"vqe = VQE(qubitOp,\n",
- " RYRZ(qubitOp.num_qubits, depth=3, entanglement='linear'),\n",
+ " TwoLocal(qubitOp.num_qubits, ['ry', 'rz'], 'cz', reps=3, entanglement='linear'),\n",
" L_BFGS_B(maxfun=6000))\n",
"result = vqe.run(QuantumInstance(BasicAer.get_backend('statevector_simulator')))\n",
"\n",
- "x = sample_most_likely(result['eigvecs'][0])\n",
- "print('energy:', result['energy'])\n",
- "print('time:', result['eval_time'])\n",
- "print('partition objective:', result['energy'] + offset)\n",
+ "x = sample_most_likely(result.eigenstate)\n",
+ "print('energy:', result.eigenvalue.real)\n",
+ "print('time:', result.optimizer_time)\n",
+ "print('partition objective:', result.eigenvalue.real + offset)\n",
"print('solution:', x)\n",
"print('solution objective:', partition.partition_value(x, number_list))"
]
diff --git a/optimization/set_packing.ipynb b/optimization/set_packing.ipynb
index 2c5a171..b7a9a13 100644
--- a/optimization/set_packing.ipynb
+++ b/optimization/set_packing.ipynb
@@ -40,9 +40,9 @@
"import json\n",
"\n",
"from qiskit import BasicAer\n",
- "from qiskit.optimization.ising import set_packing\n",
- "from qiskit.aqua.algorithms import ExactEigensolver\n",
- "from qiskit.optimization.ising.common import sample_most_likely\n",
+ "from qiskit.optimization.applications.ising import set_packing\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver\n",
+ "from qiskit.optimization.applications.ising.common import sample_most_likely\n",
"\n",
"\n",
"input_file = 'sample.setpacking'\n",
@@ -125,10 +125,10 @@
}
],
"source": [
- "algo = ExactEigensolver(qubit_op)\n",
+ "algo = NumPyMinimumEigensolver(qubit_op)\n",
"result = algo.run()\n",
"\n",
- "x = sample_most_likely(result['eigvecs'][0])\n",
+ "x = sample_most_likely(result.eigenstate)\n",
"ising_sol = set_packing.get_solution(x)\n",
"np.testing.assert_array_equal(ising_sol, [0, 1, 1])\n",
"oracle = brute_force()\n",
@@ -166,18 +166,18 @@
"from qiskit.aqua import aqua_globals\n",
"from qiskit.aqua.algorithms import VQE\n",
"from qiskit.aqua.components.optimizers import COBYLA\n",
- "from qiskit.aqua.components.variational_forms import RY\n",
+ "from qiskit.circuit.library import TwoLocal\n",
"\n",
"aqua_globals.random_seed = 100\n",
"\n",
"optimizer = COBYLA()\n",
- "var_form = RY(qubit_op.num_qubits, depth=5, entanglement='linear')\n",
+ "var_form = TwoLocal(qubit_op.num_qubits, 'ry', 'cz', reps=5, entanglement='linear')\n",
"vqe = VQE(qubit_op, var_form, optimizer)\n",
"\n",
"backend = BasicAer.get_backend('statevector_simulator')\n",
"result = vqe.run(backend)\n",
"\n",
- "x = sample_most_likely(result['eigvecs'][0])\n",
+ "x = sample_most_likely(result.eigenstate)\n",
"ising_sol = set_packing.get_solution(x)\n",
"print(\"Size of set packing\", np.count_nonzero(ising_sol))"
]
diff --git a/optimization/stable_set.ipynb b/optimization/stable_set.ipynb
index 874b3c1..7a7fe67 100644
--- a/optimization/stable_set.ipynb
+++ b/optimization/stable_set.ipynb
@@ -12,7 +12,7 @@
"\n",
"The problem is defined as follows. Given a graph $G = (V,E)$, we want to compute $S \\subseteq V$ such that there do not exist $i, j \\in S : (i, j) \\in E$, and $|S|$ is maximized. In other words, we are looking for a maximum cardinality set of mutually non-adjacent vertices.\n",
"\n",
- "The graph provided as an input is used first to generate an Ising Hamiltonian, which is then passed as an input to VQE. As a reference, this notebook also computes the maximum stable set using the Exact Eigensolver classical algorithm and the solver embedded in the commercial IBM CPLEX product (if it is available in the system and the user has followed the necessary configuration steps in order for Qiskit Aqua to find it). Please refer to the Qiskit Aqua Optimization documentation for installation and configuration details for CPLEX."
+ "The graph provided as an input is used first to generate an Ising Hamiltonian, which is then passed as an input to VQE. As a reference, this notebook also computes the maximum stable set using the NumPyMinimumEigensolver classical algorithm and the solver embedded in the commercial CPLEX product (if it is available in the system and the user has followed the necessary configuration steps in order for Qiskit Aqua to find it). Please refer to the Qiskit Aqua Optimization documentation for installation and configuration details for CPLEX."
]
},
{
@@ -24,12 +24,12 @@
"import numpy as np\n",
"\n",
"from qiskit import BasicAer\n",
- "from qiskit.optimization.ising import stable_set\n",
+ "from qiskit.optimization.applications.ising import stable_set\n",
"from qiskit.aqua import QuantumInstance\n",
- "from qiskit.aqua.algorithms import ExactEigensolver, VQE\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver, VQE\n",
"from qiskit.aqua.components.optimizers import L_BFGS_B\n",
- "from qiskit.aqua.components.variational_forms import RYRZ\n",
- "from qiskit.optimization.ising.common import parse_gset_format, random_graph, sample_most_likely"
+ "from qiskit.circuit.library import TwoLocal\n",
+ "from qiskit.optimization.applications.ising.common import parse_gset_format, random_graph, sample_most_likely"
]
},
{
@@ -85,7 +85,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Here we test for the presence of algorithms we want to use in this notebook. If Aqua is installed correctly `ExactEigensolver` and `VQE` will always be found. `CPLEX.Ising` is dependent on IBM CPLEX being installed (see introduction above). CPLEX is *not required* but if installed then this notebook will demonstrate the `CPLEX.Ising` algorithm , that uses CPLEX, to compute stable set as well."
+ "Here we test for the presence of algorithms we want to use in this notebook. If Aqua is installed correctly `NumPyMinimumEigensolver` and `VQE` will always be found. `ClassicalCPLEX` is dependent on CPLEX being installed (see introduction above). CPLEX is *not required* but if installed then this notebook will demonstrate the `ClassicalCPLEX` algorithm , that uses CPLEX, to compute stable set as well."
]
},
{
@@ -97,12 +97,12 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "['ExactEigensolver', 'CPLEX.Ising', 'VQE']\n"
+ "['NumPyMinimumEigensolver', 'ClassicalCPLEX', 'VQE']\n"
]
}
],
"source": [
- "to_be_tested_algos = ['ExactEigensolver', 'CPLEX.Ising', 'VQE']\n",
+ "to_be_tested_algos = ['NumPyMinimumEigensolver', 'ClassicalCPLEX', 'VQE']\n",
"print(to_be_tested_algos)"
]
},
@@ -110,7 +110,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We can now use the Operator without regard to how it was created. First we need to prepare the configuration params to invoke the algorithm. Here we will use the ExactEigensolver first to return the smallest eigenvalue. Backend is not required since this is computed classically not using quantum computation. We then add in the qubitOp Operator in dictionary format. The result is a dictionary."
+ "We can now use the Operator without regard to how it was created. First we need to prepare the configuration params to invoke the algorithm. Here we will use the NumPyMinimumEigensolver first to return the smallest eigenvalue. Backend is not required since this is computed classically not using quantum computation. We then add in the qubitOp Operator in dictionary format. The result is a dictionary."
]
},
{
@@ -124,16 +124,16 @@
"text": [
"energy: -29.5\n",
"stable set objective: -25.0\n",
- "solution: [0. 0. 1. 1. 1.]\n",
- "solution objective and feasibility: (3.0, False)\n"
+ "solution: [0 0 1 1 1]\n",
+ "solution objective and feasibility: (3, False)\n"
]
}
],
"source": [
- "result = ExactEigensolver(qubitOp).run()\n",
- "x = sample_most_likely(result['eigvecs'][0])\n",
- "print('energy:', result['energy'])\n",
- "print('stable set objective:', result['energy'] + offset)\n",
+ "result = NumPyMinimumEigensolver(qubitOp).run()\n",
+ "x = sample_most_likely(result.eigenstate)\n",
+ "print('energy:', result.eigenvalue.real)\n",
+ "print('stable set objective:', result.eigenvalue.real + offset)\n",
"print('solution:', stable_set.get_graph_solution(x))\n",
"print('solution objective and feasibility:', stable_set.stable_set_value(x, w))"
]
@@ -142,7 +142,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "*Note*: IBM CPLEX is an _optional_ installation addition for Aqua. If installed then the Aqua CPLEX.Ising algorithm will be able to be used. If not, then solving this problem using this particular algorithm will simply be skipped.\n",
+ "*Note*: If CPLEX installed then the Aqua ClassicalCPLEX algorithm will be able to be used. If not, then solving this problem using this particular algorithm will simply be skipped.\n",
"\n",
"We change the configuration parameters to solve it with the CPLEX backend. The CPLEX backend can deal with a particular type of Hamiltonian called Ising Hamiltonian, which consists of only Pauli Z at most second order and can be used for combinatorial optimization problems that can be formulated as quadratic unconstrained binary optimization problems, such as the stable set problem. Note that we may obtain a different solution - but if the objective value is the same as above, the solution will be optimal."
]
@@ -156,14 +156,25 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "CPLEX is not installed. See https://www.ibm.com/support/knowledgecenter/SSSA5P_12.8.0/ilog.odms.studio.help/Optimization_Studio/topics/COS_home.html\n"
+ "Version identifier: 12.10.0.0 | 2019-11-27 | 843d4de\n",
+ "CPXPARAM_Read_DataCheck 1\n",
+ "CPXPARAM_Threads 1\n",
+ "CPXPARAM_MIP_Display 0\n",
+ "CPXPARAM_TimeLimit 600\n",
+ "CPXPARAM_MIP_Tolerances_MIPGap 0\n",
+ "CPXPARAM_MIP_Tolerances_Integrality 0\n",
+ "energy: -29.5\n",
+ "time: 0.02447683199999995\n",
+ "stable set objective: -25.0\n",
+ "solution: [0 0 1 1 1]\n",
+ "solution objective and feasibility: (3, False)\n"
]
}
],
"source": [
"try:\n",
- " from qiskit.aqua.algorithms import CPLEX_Ising\n",
- " result = CPLEX_Ising(qubitOp, display=0).run()\n",
+ " from qiskit.aqua.algorithms import ClassicalCPLEX\n",
+ " result = ClassicalCPLEX(qubitOp, display=0).run()\n",
"\n",
" x_dict = result['x_sol']\n",
" print('energy:', result['energy'])\n",
@@ -192,9 +203,9 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "energy: -29.49999999993873\n",
- "time: 26.565035104751587\n",
- "stable set objective: -24.99999999993873\n",
+ "energy: -29.49999999994602\n",
+ "time: 18.13162088394165\n",
+ "stable set objective: -24.99999999994602\n",
"solution: [0. 0. 1. 1. 1.]\n",
"solution objective and feasibility: (3.0, False)\n"
]
@@ -202,14 +213,14 @@
],
"source": [
"vqe = VQE(qubitOp,\n",
- " RYRZ(qubitOp.num_qubits, depth=3, entanglement='linear'),\n",
+ " TwoLocal(qubitOp.num_qubits, ['ry', 'rz'], 'cz', reps=3, entanglement='linear'),\n",
" L_BFGS_B(maxfun=6000))\n",
"result = vqe.run(QuantumInstance(BasicAer.get_backend('statevector_simulator')))\n",
"\n",
- "x = sample_most_likely(result['eigvecs'][0])\n",
- "print('energy:', result['energy'])\n",
- "print('time:', result['eval_time'])\n",
- "print('stable set objective:', result['energy'] + offset)\n",
+ "x = sample_most_likely(result.eigenstate)\n",
+ "print('energy:', result.eigenvalue.real)\n",
+ "print('time:', result.optimizer_time)\n",
+ "print('stable set objective:', result.eigenvalue.real + offset)\n",
"print('solution:', stable_set.get_graph_solution(x))\n",
"print('solution objective and feasibility:', stable_set.stable_set_value(x, w))"
]
diff --git a/optimization/vertex_cover.ipynb b/optimization/vertex_cover.ipynb
index c82c529..7f7b10d 100644
--- a/optimization/vertex_cover.ipynb
+++ b/optimization/vertex_cover.ipynb
@@ -40,9 +40,9 @@
"source": [
"import numpy as np\n",
"from qiskit import BasicAer\n",
- "from qiskit.optimization.ising import vertex_cover\n",
- "from qiskit.aqua.algorithms import ExactEigensolver\n",
- "from qiskit.optimization.ising.common import random_graph, sample_most_likely\n",
+ "from qiskit.optimization.applications.ising import vertex_cover\n",
+ "from qiskit.aqua.algorithms import NumPyMinimumEigensolver\n",
+ "from qiskit.optimization.applications.ising.common import random_graph, sample_most_likely\n",
"\n",
"np.random.seed(100)\n",
"num_nodes = 3\n",
@@ -125,10 +125,10 @@
}
],
"source": [
- "algo = ExactEigensolver(qubit_op)\n",
+ "algo = NumPyMinimumEigensolver(qubit_op)\n",
"result = algo.run()\n",
"\n",
- "x = sample_most_likely(result['eigvecs'][0])\n",
+ "x = sample_most_likely(result.eigenstate)\n",
"sol = vertex_cover.get_graph_solution(x)\n",
"np.testing.assert_array_equal(sol, [0, 1, 1])\n",
"print('Size of the vertex cover', np.count_nonzero(sol))"
@@ -158,18 +158,18 @@
"from qiskit.aqua import aqua_globals\n",
"from qiskit.aqua.algorithms import VQE\n",
"from qiskit.aqua.components.optimizers import SPSA\n",
- "from qiskit.aqua.components.variational_forms import RYRZ\n",
+ "from qiskit.circuit.library import TwoLocal\n",
"\n",
"aqua_globals.random_seed = 100\n",
"\n",
"optimizer = SPSA(max_trials=200)\n",
- "var_form = RYRZ(qubit_op.num_qubits, depth=3)\n",
+ "var_form = TwoLocal(qubit_op.num_qubits, ['ry', 'rz'], 'cz', reps=3)\n",
"vqe = VQE(qubit_op, var_form, optimizer)\n",
"\n",
"backend = BasicAer.get_backend('qasm_simulator')\n",
"result = vqe.run(backend)\n",
"\n",
- "x = sample_most_likely(result['eigvecs'][0])\n",
+ "x = sample_most_likely(result.eigenstate)\n",
"sol = vertex_cover.get_graph_solution(x)\n",
"print('Size of the vertex cover', np.count_nonzero(sol))"
]