130 lines
2.3 KiB
Plaintext
130 lines
2.3 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "b3030b51-4344-419e-ac8d-6b82aadd3039",
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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": 4,
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"id": "c30cae3d-231c-4387-ad38-45d40c548620",
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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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"[1 2 3]\n"
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]
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}
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],
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"source": [
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"a = np.array([1,2,3])\n",
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"print(a)"
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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": 5,
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"id": "cc134d28-dde6-4379-b0c0-8fee055ee86b",
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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([1, 2, 3])"
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]
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},
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"execution_count": 5,
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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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"a"
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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": "6fa02d03-4e2e-46b0-985f-1ea1ec452fdb",
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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([[1, 2, 3],\n",
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" [4, 5, 6]])"
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]
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},
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"execution_count": 7,
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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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"a=np.array([[1,2,3],[4,5,6]])\n",
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"a"
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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": 9,
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"id": "f3886432-fc88-4b08-90f8-ea05108977ce",
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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([[1.+0.j, 2.+0.j, 3.+0.j],\n",
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" [4.+0.j, 5.+0.j, 6.+0.j]], dtype=complex64)"
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]
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},
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"execution_count": 9,
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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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"a=np.array([[1,2,3],[4,5,6]],dtype=np.complex64)\n",
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"a"
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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": "c020e956-5a47-4088-9d7c-278b53d48233",
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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": "3.8.19"
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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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