225 lines
3.8 KiB
Plaintext
225 lines
3.8 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "binding-contribution",
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"metadata": {},
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"source": [
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"## Alpha fine-tuning"
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]
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},
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{
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"cell_type": "markdown",
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"id": "colored-chaos",
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"metadata": {},
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"source": [
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"Fine-tuning parametru wygładzania alpha. Tylko 10000 linii ze zbioru trenującego, aby oszczędzić czas. <br>\n",
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"Ostatecznie trening na całym zbiorze z wybranym parametrem."
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]
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},
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{
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"cell_type": "markdown",
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"id": "environmental-session",
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"metadata": {},
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"source": [
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"#### Alpha 0.001"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "coordinated-ratio",
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"metadata": {},
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"outputs": [],
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"source": [
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"!py run.py 0.001"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "revolutionary-designation",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"597.71\r\n"
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]
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}
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],
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"source": [
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"!./geval -t dev-0"
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]
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},
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{
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"cell_type": "markdown",
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"id": "molecular-civilian",
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"metadata": {},
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"source": [
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"#### Alpha 0.005"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "coral-silver",
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"metadata": {},
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"outputs": [],
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"source": [
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"!py run.py 0.005"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "powered-webcam",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"717.87\r\n"
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]
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}
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],
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"source": [
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"!./geval -t dev-0"
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]
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},
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{
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"cell_type": "markdown",
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"id": "broadband-heating",
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"metadata": {},
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"source": [
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"#### Alpha 0.01"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "moderate-bearing",
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"metadata": {},
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"outputs": [],
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"source": [
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"!py run.py 0.01"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "guilty-committee",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"774.42\r\n"
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]
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}
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],
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"source": [
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"!./geval -t dev-0"
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]
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},
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{
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"cell_type": "markdown",
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"id": "defensive-amount",
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"metadata": {},
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"source": [
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"#### Alpha 0.05"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "senior-government",
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"metadata": {},
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"outputs": [],
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"source": [
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"!py run.py 0.05"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "maritime-father",
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"metadata": {},
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"outputs": [],
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"source": [
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"!./geval -t dev-0"
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]
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},
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{
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"cell_type": "markdown",
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"id": "practical-dinner",
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"metadata": {},
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"source": [
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"#### Alpha 0.1"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "sonic-hayes",
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"metadata": {},
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"outputs": [],
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"source": [
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"!py run.py 0.1"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "recent-malaysia",
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"metadata": {},
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"outputs": [],
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"source": [
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"!./geval -t dev-0"
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]
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},
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{
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"cell_type": "markdown",
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"id": "blank-coordinate",
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"metadata": {},
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"source": [
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"| alpha | dev-0 score |\n",
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"|-------|-------------|\n",
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"| 0.001 | 597.71 |\n",
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"| 0.005 | 717.87 |\n",
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"| 0.01 | 774.42 |\n",
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"| 0.05 | |\n",
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"| 0.1 | |\n",
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"| 0.2 | |\n",
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"| 0.3 | |\n",
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"| 0.4 | |\n",
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"| 0.5 | |"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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