冒泡
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@@ -0,0 +1,8 @@
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import numpy as np
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x=np.arange(5)
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x
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@@ -0,0 +1,65 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "c20bc1f9-da6e-4795-988b-89eb2cc625e0",
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np"
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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": "9c5eefdf-3915-4487-8053-87e8e0ffeedd",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([0, 1, 2, 3, 4])"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"x=np.arange(5)\n",
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"x"
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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": "e45a73a4-dfe2-4629-84b1-4ae4230a3863",
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"metadata": {},
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"outputs": [],
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"source": []
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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 (ipykernel)",
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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": "3.12.4"
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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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