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Parent(s):
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test.ipynb created.
Browse files- test.ipynb +143 -0
test.ipynb
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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": 11,
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"metadata": {},
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"outputs": [],
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"source": [
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"api_key = 'xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx'\n",
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"api_path = '/v3/async/instant-id'\n",
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"\n",
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"payload_data = {\n",
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"\t'extra': {\n",
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"\t\t'response_image_type': 'jpeg'\n",
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"\t},\n",
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"\t'model_name': 'sd_xl_base_1.0.safetensors',\n",
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"\t'face_image_assets_ids': [\n",
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"\t\t'cjIvbm92aXRhLWFpLWFzc2V0L2ltYWdlL1JtRDduaU16d3ljTWJOY0hCaXNYM1lwZDNkMnk2YVpl'\n",
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"\t],\n",
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"\t'ref_image_assets_ids': [\n",
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"\t\t'cjIvbm92aXRhLWFpLWFzc2V0L2ltYWdlL1R6WHNyYXdQRlBRZEp6bkJISDd3aHhkU3hOY0ZXc2FD'\n",
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"\t],\n",
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"\t'prompt': 'concept art of a man . digital artwork, illustrative, painterly, matte painting, highly detailed',\n",
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"\t'negative_prompt': 'realistic, photo-realistic, bad quality, bad anatomy, worst quality, low quality, lowres, extra fingers, blur, blurry, ugly, wrong proportions, watermark, image artifacts, bad eyes, bad hands, bad arms',\n",
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"\t'controlnet': {\n",
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"\t\t'units': [\n",
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"\t\t\t{\n",
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"\t\t\t\t'model_name': 'controlnet-openpose-sdxl-1.0',\n",
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"\t\t\t\t'strength': None,\n",
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"\t\t\t\t'guidance_start': None,\n",
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"\t\t\t\t'guidance_end': None,\n",
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"\t\t\t\t'preprocessor': 'openpose'\n",
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"\t\t\t}\n",
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"\t\t]\n",
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"\t},\n",
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"\t'loras': [\n",
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"\t\t{\n",
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| 38 |
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"\t\t\t'model_name': 'xl_more_art-full_v1_113467.safetensors',\n",
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"\t\t\t'strength': 0.8\n",
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| 40 |
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"\t\t}\n",
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"\t],\n",
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| 42 |
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"\t'id_strength': None,\n",
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| 43 |
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"\t'adapter_strength': None,\n",
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"\t'width': 768,\n",
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"\t'height': 1024,\n",
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"\t'image_num': 1,\n",
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"\t'steps': 25,\n",
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"\t'seed': -1,\n",
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"\t'guidance_scale': 7.5,\n",
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"\t'sampler_name': 'Euler a',\n",
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"\t'clip_skip': None\n",
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"}\n"
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]
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},
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{
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"cell_type": "code",
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| 57 |
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"execution_count": null,
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| 58 |
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"metadata": {},
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| 59 |
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"outputs": [],
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| 60 |
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"source": [
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| 61 |
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"import requests\n",
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| 62 |
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"import json\n",
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"\n",
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"\n",
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"headers = {\n",
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| 66 |
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"\t'Content-type': 'application/json',\n",
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| 67 |
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"\t'Authorization': f'Bearer {api_key}',\n",
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| 68 |
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"}\n",
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"\n",
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| 70 |
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"response = requests.request('POST', f'https://api.novita.ai{api_path}', headers=headers, data=json.dumps(payload_data))\n",
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"response.text\n"
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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": 12,
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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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"{'task_id': 'fe2701c1-7c5c-43ef-8570-ad7cbce850a3'}"
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| 83 |
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]
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},
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"execution_count": 12,
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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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"from novita_client import NovitaClient\n",
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"\n",
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"\n",
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"client = NovitaClient(api_key)\n",
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"\n",
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| 96 |
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"res = client._post('/v3/async/instant-id', payload_data)\n",
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| 97 |
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"res"
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| 98 |
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]
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},
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{
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| 101 |
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"cell_type": "code",
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| 102 |
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"execution_count": 14,
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| 103 |
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"metadata": {},
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| 104 |
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"outputs": [
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| 105 |
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{
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| 106 |
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"data": {
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| 107 |
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"text/plain": [
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| 108 |
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"V3TaskResponse(task=V3TaskResponseTask(task_id='fe2701c1-7c5c-43ef-8570-ad7cbce850a3', status=<V3TaskResponseStatus.TASK_STATUS_SUCCEED: 'TASK_STATUS_SUCCEED'>), images=[V3TaskImage(image_url='https://faas-output-image.s3.ap-southeast-1.amazonaws.com/prod/fe2701c1-7c5c-43ef-8570-ad7cbce850a3/2a889ab96bc946d5af40115ae47ccd46.jpeg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIASVPYCN6LRCW3SOUV%2F20240227%2Fap-southeast-1%2Fs3%2Faws4_request&X-Amz-Date=20240227T114145Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=7b71d07fc5cdc68eca8f0ef356a3139a2932dec78897ef0482ec36aac036042b', image_type='jpeg', image_url_ttl=3600)], videos=[])"
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| 109 |
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]
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| 110 |
+
},
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| 111 |
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"execution_count": 14,
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| 112 |
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"metadata": {},
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| 113 |
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"output_type": "execute_result"
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| 114 |
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}
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| 115 |
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],
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| 116 |
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"source": [
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| 117 |
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"res2 = client.wait_for_task_v3(res['task_id'])\n",
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| 118 |
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"res2"
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| 119 |
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]
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| 120 |
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}
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| 121 |
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],
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"metadata": {
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| 123 |
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"kernelspec": {
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| 124 |
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"display_name": "env",
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| 125 |
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"language": "python",
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| 126 |
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"name": "python3"
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| 127 |
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},
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| 128 |
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"language_info": {
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| 129 |
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"codemirror_mode": {
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| 130 |
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"name": "ipython",
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| 131 |
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"version": 3
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| 132 |
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},
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| 133 |
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"file_extension": ".py",
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| 134 |
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"mimetype": "text/x-python",
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| 135 |
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"name": "python",
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| 136 |
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"nbconvert_exporter": "python",
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| 137 |
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"pygments_lexer": "ipython3",
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| 138 |
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"version": "3.12.1"
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| 139 |
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}
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| 140 |
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},
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| 141 |
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"nbformat": 4,
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| 142 |
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"nbformat_minor": 2
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| 143 |
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}
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