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mhuckamhucka
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Update format of tutorial notebooks (#1040)
Running `scripts/format_all.sh` produces some small differences in the tutorials. I further adjusted the results from what `format_all.sh` produced in order to move a comment that ended up in a less-than-ideal place. The result passes `scripts/format_all.sh` without further changes. The fact that this difference arose is most likely a sign that I didn't run `scripts/format_all.sh` during the final steps of the last release. I will add a note to the release procedure to remind us to do that in the future.
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‎docs/tutorials/barren_plateaus.ipynb‎

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"metadata": {},
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"outputs": [],
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"source": [
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"# Keras 2 must be selected before importing TensorFlow or TensorFlow Quantum:\n",
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"import os\n",
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"\n",
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"# Keras 2 must be selected before importing TensorFlow or TensorFlow Quantum:\n",
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"os.environ[\"TF_USE_LEGACY_KERAS\"] = \"1\""
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]
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},

‎docs/tutorials/gradients.ipynb‎

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"metadata": {},
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"outputs": [],
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"source": [
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"# Keras 2 must be selected before importing TensorFlow or TensorFlow Quantum:\n",
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"import os\n",
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"\n",
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"# Keras 2 must be selected before importing TensorFlow or TensorFlow Quantum:\n",
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"os.environ[\"TF_USE_LEGACY_KERAS\"] = \"1\""
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]
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},

‎docs/tutorials/hello_many_worlds.ipynb‎

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"metadata": {},
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"outputs": [],
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"source": [
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"# Keras 2 must be selected before importing TensorFlow or TensorFlow Quantum:\n",
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"import os\n",
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"\n",
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"# Keras 2 must be selected before importing TensorFlow or TensorFlow Quantum:\n",
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"os.environ[\"TF_USE_LEGACY_KERAS\"] = \"1\""
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]
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},

‎docs/tutorials/mnist.ipynb‎

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"metadata": {},
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"outputs": [],
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"source": [
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"# Keras 2 must be selected before importing TensorFlow or TensorFlow Quantum:\n",
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"import os\n",
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"\n",
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"# Keras 2 must be selected before importing TensorFlow or TensorFlow Quantum:\n",
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"os.environ[\"TF_USE_LEGACY_KERAS\"] = \"1\""
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]
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},

‎docs/tutorials/noise.ipynb‎

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"metadata": {},
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"outputs": [],
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"source": [
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"# Keras 2 must be selected before importing TensorFlow or TensorFlow Quantum:\n",
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"import os\n",
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"\n",
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"# Keras 2 must be selected before importing TensorFlow or TensorFlow Quantum:\n",
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"os.environ[\"TF_USE_LEGACY_KERAS\"] = \"1\""
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]
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},

‎docs/tutorials/qcnn.ipynb‎

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"metadata": {},
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"outputs": [],
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"source": [
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"# Keras 2 must be selected before importing TensorFlow or TensorFlow Quantum:\n",
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"import os\n",
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"\n",
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"# Keras 2 must be selected before importing TensorFlow or TensorFlow Quantum:\n",
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"os.environ[\"TF_USE_LEGACY_KERAS\"] = \"1\""
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]
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},

‎docs/tutorials/quantum_data.ipynb‎

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"metadata": {},
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"outputs": [],
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"source": [
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"# Keras 2 must be selected before importing TensorFlow or TensorFlow Quantum:\n",
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"import os\n",
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"\n",
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"# Keras 2 must be selected before importing TensorFlow or TensorFlow Quantum:\n",
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"os.environ[\"TF_USE_LEGACY_KERAS\"] = \"1\""
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]
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},

‎docs/tutorials/quantum_reinforcement_learning.ipynb‎

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"metadata": {},
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"outputs": [],
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"source": [
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"# Keras 2 must be selected before importing TensorFlow or TensorFlow Quantum:\n",
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"import os\n",
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"\n",
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"# Keras 2 must be selected before importing TensorFlow or TensorFlow Quantum:\n",
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"os.environ[\"TF_USE_LEGACY_KERAS\"] = \"1\""
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]
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},
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" episode_reward_history.append(episode_reward)\n",
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" if (episode + 1) % 10 == 0:\n",
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" avg_rewards = np.mean(episode_reward_history[-10:])\n",
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" print(f\"Episode {episode + 1}/{n_episodes}, average last 10 rewards {avg_rewards}\")\n",
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" print(\n",
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" f\"Episode {episode + 1}/{n_episodes}, average last 10 rewards {avg_rewards}\"\n",
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" )\n",
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" if avg_rewards >= 500.0:\n",
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" break"
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]

‎docs/tutorials/research_tools.ipynb‎

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"metadata": {},
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"outputs": [],
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"source": [
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"# Keras 2 must be selected before importing TensorFlow or TensorFlow Quantum:\n",
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"import os\n",
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"\n",
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"# Keras 2 must be selected before importing TensorFlow or TensorFlow Quantum:\n",
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"os.environ[\"TF_USE_LEGACY_KERAS\"] = \"1\""
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]
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},

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