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  1. app.py +17 -0
  2. arima_sales_model.pkl +3 -0
  3. requirements.txt +548 -0
app.py ADDED
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+ import gradio as gr
2
+ import pandas as pd
3
+ from sklearn.externals import joblib # o la librer铆a adecuada para tu modelo
4
+
5
+ # Cargar el modelo entrenado
6
+ model = joblib.load("arima_sales_model.pkl")
7
+
8
+ # Funci贸n para hacer predicciones con el modelo
9
+ def predict(data):
10
+ prediction = model.predict([data])
11
+ return prediction
12
+
13
+ # Crear la interfaz interactiva en Gradio
14
+ iface = gr.Interface(fn=predict, inputs=gr.inputs.Textbox(label="Ingresa los datos para predecir"), outputs="text")
15
+
16
+ # Ejecutar la interfaz
17
+ iface.launch()
arima_sales_model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ffad90ebc9024be993482bc4f64a85b7c26d04f6e3ba2e8c1e123a08d2eb76e1
3
+ size 38094431
requirements.txt ADDED
@@ -0,0 +1,548 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ absl-py==1.4.0
2
+ accelerate==1.1.1
3
+ aiohappyeyeballs==2.4.3
4
+ aiohttp==3.10.10
5
+ aiosignal==1.3.1
6
+ alabaster==1.0.0
7
+ albucore==0.0.19
8
+ albumentations==1.4.20
9
+ altair==4.2.2
10
+ annotated-types==0.7.0
11
+ anyio==3.7.1
12
+ argon2-cffi==23.1.0
13
+ argon2-cffi-bindings==21.2.0
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+ array_record==0.5.1
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+ astropy==6.1.5
17
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+ asttokens==2.4.1
19
+ astunparse==1.6.3
20
+ async-timeout==4.0.3
21
+ atpublic==4.1.0
22
+ attrs==24.2.0
23
+ audioread==3.0.1
24
+ autograd==1.7.0
25
+ babel==2.16.0
26
+ backcall==0.2.0
27
+ beautifulsoup4==4.12.3
28
+ bigframes==1.25.0
29
+ bigquery-magics==0.4.0
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+ bleach==6.2.0
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+ blinker==1.9.0
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+ blis==0.7.11
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+ blosc2==2.7.1
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+ bokeh==3.6.1
35
+ Bottleneck==1.4.2
36
+ bqplot==0.12.43
37
+ branca==0.8.0
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+ CacheControl==0.14.1
39
+ cachetools==5.5.0
40
+ catalogue==2.0.10
41
+ certifi==2024.8.30
42
+ cffi==1.17.1
43
+ chardet==5.2.0
44
+ charset-normalizer==3.4.0
45
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46
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47
+ click==8.1.7
48
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49
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50
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51
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52
+ colorcet==3.1.0
53
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54
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55
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56
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57
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58
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59
+ cryptography==43.0.3
60
+ cuda-python==12.2.1
61
+ cudf-cu12 @ https://pypi.nvidia.com/cudf-cu12/cudf_cu12-24.10.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
62
+ cufflinks==0.17.3
63
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64
+ cvxopt==1.3.2
65
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66
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67
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68
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69
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70
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71
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72
+ dbus-python==1.2.18
73
+ debugpy==1.8.0
74
+ decorator==4.4.2
75
+ defusedxml==0.7.1
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77
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+ en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.7.1/en_core_web_sm-3.7.1-py3-none-any.whl#sha256=86cc141f63942d4b2c5fcee06630fd6f904788d2f0ab005cce45aadb8fb73889
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+ entrypoints==0.4
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+ etuples==0.3.9
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+ eval_type_backport==0.2.0
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+ exceptiongroup==1.2.2
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+ executing==2.1.0
101
+ fastai==2.7.18
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+ fastcore==1.7.19
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+ fastdownload==0.0.7
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105
+ fastprogress==1.0.3
106
+ fastrlock==0.8.2
107
+ filelock==3.16.1
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+ firebase-admin==6.5.0
109
+ Flask==3.0.3
110
+ flatbuffers==24.3.25
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+ flax==0.8.5
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113
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115
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116
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117
+ future==1.0.0
118
+ gast==0.6.0
119
+ gcsfs==2024.10.0
120
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121
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124
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127
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+ gin-config==0.5.0
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+ GitPython==3.1.43
131
+ glob2==0.7
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+ google==2.0.3
133
+ google-ai-generativelanguage==0.6.10
134
+ google-api-core==2.19.2
135
+ google-api-python-client==2.151.0
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+ google-auth==2.27.0
137
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141
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+ google-colab @ file:///colabtools/dist/google_colab-1.0.0.tar.gz
155
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162
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163
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164
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165
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166
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167
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168
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169
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170
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171
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172
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173
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174
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175
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176
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178
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180
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182
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183
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184
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185
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186
+ imageio-ffmpeg==0.5.1
187
+ imagesize==1.4.1
188
+ imbalanced-learn==0.12.4
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191
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195
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196
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197
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198
+ ipyevents==2.0.2
199
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200
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201
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202
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203
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204
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205
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206
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207
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208
+ itsdangerous==2.2.0
209
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210
+ jax-cuda12-pjrt==0.4.33
211
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212
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213
+ jedi==0.19.2
214
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215
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216
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217
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218
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219
+ joblib==1.4.2
220
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221
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222
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233
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234
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235
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236
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237
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243
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244
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245
+ lazr.uri==1.0.6
246
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247
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248
+ libcudf-cu12 @ https://pypi.nvidia.com/libcudf-cu12/libcudf_cu12-24.10.1-py3-none-manylinux_2_28_x86_64.whl
249
+ librosa==0.10.2.post1
250
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251
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252
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253
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254
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255
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256
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257
+ Markdown==3.7
258
+ markdown-it-py==3.0.0
259
+ MarkupSafe==3.0.2
260
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261
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262
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263
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264
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265
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266
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267
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268
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269
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270
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271
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272
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273
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274
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275
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276
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277
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278
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279
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280
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281
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282
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283
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284
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285
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286
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287
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288
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289
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290
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291
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292
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293
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294
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295
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296
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297
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298
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299
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300
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301
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302
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303
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304
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305
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306
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307
+ nvidia-nvjitlink-cu12==12.6.77
308
+ nvtx==0.2.10
309
+ nx-cugraph-cu12 @ https://pypi.nvidia.com/nx-cugraph-cu12/nx_cugraph_cu12-24.10.0-py3-none-any.whl
310
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311
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312
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313
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314
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315
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316
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317
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318
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319
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320
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321
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322
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323
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324
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325
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326
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327
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328
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329
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330
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331
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332
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333
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334
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335
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336
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337
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338
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339
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340
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341
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342
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343
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344
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345
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346
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347
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348
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349
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350
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351
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352
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353
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354
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355
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356
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357
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360
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361
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364
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368
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375
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377
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378
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379
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381
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382
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384
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385
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386
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387
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388
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389
+ pylibcudf-cu12 @ https://pypi.nvidia.com/pylibcudf-cu12/pylibcudf_cu12-24.10.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
390
+ pylibcugraph-cu12==24.10.0
391
+ pylibraft-cu12==24.10.0
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+ pymc==5.18.0
393
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+ pynvjitlink-cu12==0.4.0
395
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396
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400
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401
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+ PySocks==1.7.1
403
+ pyspark==3.5.3
404
+ pytensor==2.25.5
405
+ pytest==8.3.3
406
+ python-apt==0.0.0
407
+ python-box==7.2.0
408
+ python-dateutil==2.8.2
409
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410
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411
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412
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413
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414
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415
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416
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417
+ ratelim==0.1.6
418
+ referencing==0.35.1
419
+ regex==2024.9.11
420
+ requests==2.32.3
421
+ requests-oauthlib==1.3.1
422
+ requests-toolbelt==1.0.0
423
+ requirements-parser==0.9.0
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+ rmm-cu12==24.10.0
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+ rpds-py==0.21.0
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+ rpy2==3.4.2
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437
+ Send2Trash==1.8.3
438
+ sentence-transformers==3.2.1
439
+ sentencepiece==0.2.0
440
+ sentry-sdk==2.18.0
441
+ setproctitle==1.3.3
442
+ shap==0.46.0
443
+ shapely==2.0.6
444
+ shellingham==1.5.4
445
+ simple-parsing==0.1.6
446
+ six==1.16.0
447
+ sklearn-pandas==2.2.0
448
+ slicer==0.0.8
449
+ smart-open==7.0.5
450
+ smmap==5.0.1
451
+ sniffio==1.3.1
452
+ snowballstemmer==2.2.0
453
+ soundfile==0.12.1
454
+ soupsieve==2.6
455
+ soxr==0.5.0.post1
456
+ spacy==3.7.5
457
+ spacy-legacy==3.0.12
458
+ spacy-loggers==1.0.5
459
+ Sphinx==8.1.3
460
+ sphinxcontrib-applehelp==2.0.0
461
+ sphinxcontrib-devhelp==2.0.0
462
+ sphinxcontrib-htmlhelp==2.1.0
463
+ sphinxcontrib-jsmath==1.0.1
464
+ sphinxcontrib-qthelp==2.0.0
465
+ sphinxcontrib-serializinghtml==2.0.0
466
+ SQLAlchemy==2.0.36
467
+ sqlglot==25.1.0
468
+ sqlparse==0.5.1
469
+ srsly==2.4.8
470
+ stack-data==0.6.3
471
+ stanio==0.5.1
472
+ statsmodels==0.14.4
473
+ StrEnum==0.4.15
474
+ stringzilla==3.10.8
475
+ sympy==1.13.1
476
+ tables==3.10.1
477
+ tabulate==0.9.0
478
+ tbb==2022.0.0
479
+ tcmlib==1.2.0
480
+ tenacity==9.0.0
481
+ tensorboard==2.17.0
482
+ tensorboard-data-server==0.7.2
483
+ tensorflow==2.17.0
484
+ tensorflow-datasets==4.9.7
485
+ tensorflow-hub==0.16.1
486
+ tensorflow-io-gcs-filesystem==0.37.1
487
+ tensorflow-metadata==1.13.1
488
+ tensorflow-probability==0.24.0
489
+ tensorstore==0.1.67
490
+ termcolor==2.5.0
491
+ terminado==0.18.1
492
+ text-unidecode==1.3
493
+ textblob==0.17.1
494
+ tf-slim==1.1.0
495
+ tf_keras==2.17.0
496
+ thinc==8.2.5
497
+ threadpoolctl==3.5.0
498
+ tifffile==2024.9.20
499
+ timm==1.0.11
500
+ tinycss2==1.4.0
501
+ tokenizers==0.20.3
502
+ toml==0.10.2
503
+ tomli==2.0.2
504
+ toolz==0.12.1
505
+ torch @ https://download.pytorch.org/whl/cu121_full/torch-2.5.0%2Bcu121-cp310-cp310-linux_x86_64.whl
506
+ torchaudio @ https://download.pytorch.org/whl/cu121_full/torchaudio-2.5.0%2Bcu121-cp310-cp310-linux_x86_64.whl
507
+ torchsummary==1.5.1
508
+ torchvision @ https://download.pytorch.org/whl/cu121_full/torchvision-0.20.0%2Bcu121-cp310-cp310-linux_x86_64.whl
509
+ tornado==6.3.3
510
+ tqdm==4.66.6
511
+ traitlets==5.7.1
512
+ traittypes==0.2.1
513
+ transformers==4.46.2
514
+ tweepy==4.14.0
515
+ typeguard==4.4.1
516
+ typer==0.13.0
517
+ types-pytz==2024.2.0.20241003
518
+ types-setuptools==75.3.0.20241112
519
+ typing_extensions==4.12.2
520
+ tzdata==2024.2
521
+ tzlocal==5.2
522
+ uc-micro-py==1.0.3
523
+ umf==0.9.0
524
+ uritemplate==4.1.1
525
+ urllib3==2.2.3
526
+ vega-datasets==0.9.0
527
+ wadllib==1.3.6
528
+ wandb==0.18.6
529
+ wasabi==1.1.3
530
+ wcwidth==0.2.13
531
+ weasel==0.4.1
532
+ webcolors==24.8.0
533
+ webencodings==0.5.1
534
+ websocket-client==1.8.0
535
+ Werkzeug==3.1.3
536
+ widgetsnbextension==3.6.10
537
+ wordcloud==1.9.3
538
+ wrapt==1.16.0
539
+ xarray==2024.10.0
540
+ xarray-einstats==0.8.0
541
+ xgboost==2.1.2
542
+ xlrd==2.0.1
543
+ xyzservices==2024.9.0
544
+ yarg==0.1.9
545
+ yarl==1.17.1
546
+ yellowbrick==1.5
547
+ yfinance==0.2.48
548
+ zipp==3.20.2