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zhang qiao
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- .env +2 -0
- __pycache__/app.cpython-39.pyc +0 -0
- __pycache__/demo.cpython-310.pyc +0 -0
- __pycache__/demo.cpython-311.pyc +0 -0
- best_models.csv +5 -11
- conda_installs.txt +3 -1
- data/demand_forecasting_demo_data.csv +1 -1555
- data/demand_forecasting_demo_data_10.csv +2573 -0
- data/demand_forecasting_demo_models.csv +5 -11
- data/demand_forecasting_demo_models_10.csv +11 -0
- data/demand_forecasting_demo_result.csv +61 -0
- demo.py +57 -8
- forecast_result.csv +0 -460
- gr_app/GradioApp.py +98 -17
- gr_app/__pycache__/GradioApp.cpython-310.pyc +0 -0
- gr_app/__pycache__/GradioApp.cpython-311.pyc +0 -0
- gr_app/__pycache__/GradioApp.cpython-39.pyc +0 -0
- gr_app/__pycache__/__init__.cpython-310.pyc +0 -0
- gr_app/__pycache__/__init__.cpython-311.pyc +0 -0
- gr_app/__pycache__/__init__.cpython-39.pyc +0 -0
- gr_app/__pycache__/args.cpython-310.pyc +0 -0
- gr_app/__pycache__/args.cpython-311.pyc +0 -0
- gr_app/__pycache__/helpers.cpython-310.pyc +0 -0
- gr_app/__pycache__/helpers.cpython-311.pyc +0 -0
- gr_app/args.py +13 -1
- gr_app/helpers.py +7 -0
- gradio_app/__pycache__/GradioApp.cpython-311.pyc +0 -0
- gradio_app/__pycache__/GradioApp.cpython-39.pyc +0 -0
- gradio_app/__pycache__/__init__.cpython-311.pyc +0 -0
- gradio_app/__pycache__/__init__.cpython-39.pyc +0 -0
- gradio_app/__pycache__/args.cpython-311.pyc +0 -0
- gradio_app/__pycache__/args.cpython-39.pyc +0 -0
- notebooks/test.ipynb +98 -41
- src/__pycache__/__init__.cpython-310.pyc +0 -0
- src/__pycache__/__init__.cpython-311.pyc +0 -0
- src/__pycache__/__init__.cpython-39.pyc +0 -0
- src/__pycache__/avtive_models.cpython-310.pyc +0 -0
- src/__pycache__/avtive_models.cpython-311.pyc +0 -0
- src/__pycache__/avtive_models.cpython-39.pyc +0 -0
- src/__pycache__/main.cpython-310.pyc +0 -0
- src/__pycache__/main.cpython-311.pyc +0 -0
- src/__pycache__/main.cpython-39.pyc +0 -0
- src/forecast/__pycache__/Prophet.cpython-310.pyc +0 -0
- src/forecast/__pycache__/Prophet.cpython-311.pyc +0 -0
- src/forecast/__pycache__/Prophet.cpython-39.pyc +0 -0
- src/forecast/__pycache__/__init__.cpython-310.pyc +0 -0
- src/forecast/__pycache__/__init__.cpython-311.pyc +0 -0
- src/forecast/__pycache__/__init__.cpython-39.pyc +0 -0
- src/functions/__pycache__/__init__.cpython-310.pyc +0 -0
- src/functions/__pycache__/__init__.cpython-311.pyc +0 -0
.env
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IDSC_PASS=APItest1412
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__pycache__/app.cpython-39.pyc
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Binary file (1.7 kB). View file
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__pycache__/demo.cpython-310.pyc
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Binary files a/__pycache__/demo.cpython-310.pyc and b/__pycache__/demo.cpython-310.pyc differ
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__pycache__/demo.cpython-311.pyc
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best_models.csv
CHANGED
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sku,best_model,characteristic
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sku-0,fft_plus,continuous
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sku-1,holt_winters_plus,continuous
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sku-2,prophet_plus,fuzzy
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sku-3,prophet_plus,fuzzy_transient
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sku-4,prophet_plus,fuzzy,10.7747925198657
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sku-5,prophet_plus,fuzzy,28.33012802382216
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-
sku-6,ceif_plus,fuzzy,37.84242038358283
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sku-7,holt_winters_plus,continuous,15.959770854065722
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sku-8,prophet_plus,fuzzy,13.778467035419936
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sku-9,prophet_plus,fuzzy,12.843706019437128
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+
sku,best_model,characteristic
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sku-0,fft_plus,continuous
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sku-1,holt_winters_plus,continuous
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sku-2,prophet_plus,fuzzy
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sku-3,prophet_plus,fuzzy_transient
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conda_installs.txt
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conda install -c anaconda ipykernel -y
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conda install -c anaconda urllib3 -y
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-
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conda install -c conda-forge prophet -y
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conda install -c anaconda pandas -y
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conda install -c intel pyyaml -y
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conda install -c conda-forge python-dotenv -y
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(if conda version of gradio doesn't work)
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pip install gradio
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conda install -c anaconda ipykernel -y
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conda install -c anaconda urllib3 -y
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conda install -c conda-forge prophet -y
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conda install -c anaconda pandas -y
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conda install -c intel pyyaml -y
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conda install -c conda-forge python-dotenv -y
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+
conda install -c conda-forge gradio -y
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+
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(if conda version of gradio doesn't work)
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pip install gradio
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data/demand_forecasting_demo_data.csv
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2022-04-24,2,sku-4
|
| 1228 |
-
2022-05-01,0,sku-4
|
| 1229 |
-
2022-05-08,0,sku-4
|
| 1230 |
-
2022-05-15,10,sku-4
|
| 1231 |
-
2022-05-22,7,sku-4
|
| 1232 |
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2022-05-29,9,sku-4
|
| 1233 |
-
2022-06-05,6,sku-4
|
| 1234 |
-
2022-06-12,5,sku-4
|
| 1235 |
-
2022-06-19,35,sku-4
|
| 1236 |
-
2022-06-26,20,sku-4
|
| 1237 |
-
2022-07-03,0,sku-4
|
| 1238 |
-
2022-07-10,5,sku-4
|
| 1239 |
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2022-07-17,5,sku-4
|
| 1240 |
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2022-07-24,9,sku-4
|
| 1241 |
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2022-07-31,14,sku-4
|
| 1242 |
-
2022-08-07,20,sku-4
|
| 1243 |
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2022-08-14,10,sku-4
|
| 1244 |
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2022-08-21,10,sku-4
|
| 1245 |
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2022-08-28,1,sku-4
|
| 1246 |
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2022-09-04,15,sku-4
|
| 1247 |
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2022-09-11,22,sku-4
|
| 1248 |
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2022-09-18,10,sku-4
|
| 1249 |
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2022-09-25,10,sku-4
|
| 1250 |
-
2022-10-02,20,sku-4
|
| 1251 |
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2022-10-09,0,sku-4
|
| 1252 |
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2022-10-16,0,sku-4
|
| 1253 |
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2022-10-23,0,sku-4
|
| 1254 |
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2022-10-30,15,sku-4
|
| 1255 |
-
2022-11-06,10,sku-4
|
| 1256 |
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2022-11-13,0,sku-4
|
| 1257 |
-
2022-11-20,10,sku-4
|
| 1258 |
-
2022-11-27,10,sku-4
|
| 1259 |
-
2022-12-04,0,sku-4
|
| 1260 |
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2022-12-11,0,sku-4
|
| 1261 |
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2022-12-18,0,sku-4
|
| 1262 |
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2022-12-25,7,sku-4
|
| 1263 |
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2023-01-01,10,sku-4
|
| 1264 |
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2023-01-08,10,sku-4
|
| 1265 |
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2023-01-15,0,sku-4
|
| 1266 |
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2023-01-22,5,sku-4
|
| 1267 |
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2023-01-29,0,sku-4
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| 1268 |
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2023-02-05,7,sku-4
|
| 1269 |
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2023-02-12,2,sku-4
|
| 1270 |
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2023-02-19,0,sku-4
|
| 1271 |
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2023-02-26,20,sku-4
|
| 1272 |
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2023-03-05,13,sku-4
|
| 1273 |
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2023-03-12,10,sku-4
|
| 1274 |
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2023-03-19,0,sku-4
|
| 1275 |
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2023-03-26,0,sku-4
|
| 1276 |
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2023-04-02,10,sku-4
|
| 1277 |
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2023-04-09,8,sku-4
|
| 1278 |
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2023-04-16,10,sku-4
|
| 1279 |
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2023-04-23,5,sku-4
|
| 1280 |
-
2018-05-06,14,sku-5
|
| 1281 |
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2018-05-13,0,sku-5
|
| 1282 |
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2018-05-20,0,sku-5
|
| 1283 |
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2018-05-27,12,sku-5
|
| 1284 |
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2018-06-03,8,sku-5
|
| 1285 |
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2018-06-10,8,sku-5
|
| 1286 |
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2018-06-17,0,sku-5
|
| 1287 |
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2018-06-24,0,sku-5
|
| 1288 |
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2018-07-01,0,sku-5
|
| 1289 |
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2018-07-08,0,sku-5
|
| 1290 |
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2018-07-15,0,sku-5
|
| 1291 |
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2018-07-22,20,sku-5
|
| 1292 |
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2018-07-29,33,sku-5
|
| 1293 |
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2018-08-05,17,sku-5
|
| 1294 |
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2018-08-12,9,sku-5
|
| 1295 |
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2018-08-19,9,sku-5
|
| 1296 |
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2018-08-26,2,sku-5
|
| 1297 |
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2018-09-02,22,sku-5
|
| 1298 |
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2018-09-09,61,sku-5
|
| 1299 |
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2018-09-16,6,sku-5
|
| 1300 |
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2018-09-23,6,sku-5
|
| 1301 |
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2018-09-30,20,sku-5
|
| 1302 |
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2018-10-07,17,sku-5
|
| 1303 |
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2018-10-14,40,sku-5
|
| 1304 |
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2018-10-21,0,sku-5
|
| 1305 |
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2018-10-28,5,sku-5
|
| 1306 |
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2018-11-04,0,sku-5
|
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2018-11-11,0,sku-5
|
| 1308 |
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2018-11-18,58,sku-5
|
| 1309 |
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2018-11-25,12,sku-5
|
| 1310 |
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2018-12-02,60,sku-5
|
| 1311 |
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2018-12-09,3,sku-5
|
| 1312 |
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2018-12-16,28,sku-5
|
| 1313 |
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2018-12-23,37,sku-5
|
| 1314 |
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2018-12-30,0,sku-5
|
| 1315 |
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2019-01-06,0,sku-5
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| 1316 |
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2019-01-13,3,sku-5
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| 1317 |
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2019-01-20,5,sku-5
|
| 1318 |
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2019-01-27,15,sku-5
|
| 1319 |
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2019-02-03,41,sku-5
|
| 1320 |
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2019-02-10,0,sku-5
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2019-02-17,0,sku-5
|
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2019-02-24,0,sku-5
|
| 1323 |
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2019-03-03,50,sku-5
|
| 1324 |
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2019-03-10,8,sku-5
|
| 1325 |
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2019-03-17,10,sku-5
|
| 1326 |
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2019-03-24,9,sku-5
|
| 1327 |
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2019-03-31,30,sku-5
|
| 1328 |
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2019-04-07,10,sku-5
|
| 1329 |
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2019-04-14,0,sku-5
|
| 1330 |
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2019-04-21,3,sku-5
|
| 1331 |
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2019-04-28,23,sku-5
|
| 1332 |
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2019-05-05,20,sku-5
|
| 1333 |
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2019-05-12,0,sku-5
|
| 1334 |
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2019-05-19,30,sku-5
|
| 1335 |
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2019-05-26,20,sku-5
|
| 1336 |
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2019-06-02,0,sku-5
|
| 1337 |
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2019-06-09,0,sku-5
|
| 1338 |
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2019-06-16,5,sku-5
|
| 1339 |
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2019-06-23,11,sku-5
|
| 1340 |
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2019-06-30,0,sku-5
|
| 1341 |
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2019-07-07,0,sku-5
|
| 1342 |
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2019-07-14,0,sku-5
|
| 1343 |
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2019-07-21,0,sku-5
|
| 1344 |
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2019-07-28,40,sku-5
|
| 1345 |
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2019-08-04,0,sku-5
|
| 1346 |
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2019-08-11,5,sku-5
|
| 1347 |
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2019-08-18,0,sku-5
|
| 1348 |
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2019-08-25,12,sku-5
|
| 1349 |
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2019-09-01,1,sku-5
|
| 1350 |
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2019-09-08,9,sku-5
|
| 1351 |
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2019-09-15,10,sku-5
|
| 1352 |
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2019-09-22,0,sku-5
|
| 1353 |
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2019-09-29,0,sku-5
|
| 1354 |
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2019-10-06,23,sku-5
|
| 1355 |
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2019-10-13,15,sku-5
|
| 1356 |
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2019-10-20,13,sku-5
|
| 1357 |
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2019-10-27,20,sku-5
|
| 1358 |
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2019-11-03,14,sku-5
|
| 1359 |
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2019-11-10,2,sku-5
|
| 1360 |
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2019-11-17,8,sku-5
|
| 1361 |
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2019-11-24,11,sku-5
|
| 1362 |
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2019-12-01,0,sku-5
|
| 1363 |
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2019-12-08,30,sku-5
|
| 1364 |
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2019-12-15,9,sku-5
|
| 1365 |
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2019-12-22,9,sku-5
|
| 1366 |
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2019-12-29,29,sku-5
|
| 1367 |
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2020-01-05,0,sku-5
|
| 1368 |
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2020-01-12,26,sku-5
|
| 1369 |
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2020-01-19,10,sku-5
|
| 1370 |
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2020-01-26,82,sku-5
|
| 1371 |
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2020-02-02,9,sku-5
|
| 1372 |
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2020-02-09,20,sku-5
|
| 1373 |
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2020-02-16,70,sku-5
|
| 1374 |
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2020-02-23,0,sku-5
|
| 1375 |
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2020-03-01,95,sku-5
|
| 1376 |
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2020-03-08,0,sku-5
|
| 1377 |
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2020-03-15,0,sku-5
|
| 1378 |
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2020-03-22,20,sku-5
|
| 1379 |
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2020-03-29,45,sku-5
|
| 1380 |
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2020-04-05,140,sku-5
|
| 1381 |
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2020-04-12,0,sku-5
|
| 1382 |
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2020-04-19,0,sku-5
|
| 1383 |
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2020-04-26,0,sku-5
|
| 1384 |
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2020-05-03,0,sku-5
|
| 1385 |
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2020-05-10,0,sku-5
|
| 1386 |
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2020-05-17,105,sku-5
|
| 1387 |
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2020-05-24,30,sku-5
|
| 1388 |
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2020-05-31,15,sku-5
|
| 1389 |
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2020-06-07,20,sku-5
|
| 1390 |
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2020-06-14,0,sku-5
|
| 1391 |
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2020-06-21,0,sku-5
|
| 1392 |
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2020-06-28,0,sku-5
|
| 1393 |
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2020-07-05,15,sku-5
|
| 1394 |
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2020-07-12,10,sku-5
|
| 1395 |
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2020-07-19,10,sku-5
|
| 1396 |
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2020-07-26,110,sku-5
|
| 1397 |
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2020-08-02,0,sku-5
|
| 1398 |
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2020-08-09,0,sku-5
|
| 1399 |
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2020-08-16,0,sku-5
|
| 1400 |
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2020-08-23,20,sku-5
|
| 1401 |
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2020-08-30,0,sku-5
|
| 1402 |
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2020-09-06,30,sku-5
|
| 1403 |
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2020-09-13,15,sku-5
|
| 1404 |
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2020-09-20,0,sku-5
|
| 1405 |
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2020-09-27,0,sku-5
|
| 1406 |
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2020-10-04,0,sku-5
|
| 1407 |
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2020-10-11,20,sku-5
|
| 1408 |
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2020-10-18,6,sku-5
|
| 1409 |
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2020-10-25,0,sku-5
|
| 1410 |
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2020-11-01,0,sku-5
|
| 1411 |
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2020-11-08,0,sku-5
|
| 1412 |
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2020-11-15,13,sku-5
|
| 1413 |
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2020-11-22,2,sku-5
|
| 1414 |
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2020-11-29,0,sku-5
|
| 1415 |
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2020-12-06,0,sku-5
|
| 1416 |
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2020-12-13,1,sku-5
|
| 1417 |
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2020-12-20,0,sku-5
|
| 1418 |
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2020-12-27,0,sku-5
|
| 1419 |
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2021-01-03,0,sku-5
|
| 1420 |
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2021-01-10,20,sku-5
|
| 1421 |
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2021-01-17,26,sku-5
|
| 1422 |
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2021-01-24,80,sku-5
|
| 1423 |
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2021-01-31,0,sku-5
|
| 1424 |
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2021-02-07,30,sku-5
|
| 1425 |
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2021-02-14,75,sku-5
|
| 1426 |
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2021-02-21,0,sku-5
|
| 1427 |
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2021-02-28,0,sku-5
|
| 1428 |
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2021-03-07,0,sku-5
|
| 1429 |
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2021-03-14,0,sku-5
|
| 1430 |
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2021-03-21,0,sku-5
|
| 1431 |
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2021-03-28,0,sku-5
|
| 1432 |
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2021-04-04,0,sku-5
|
| 1433 |
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2021-04-11,56,sku-5
|
| 1434 |
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2021-04-18,34,sku-5
|
| 1435 |
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2021-04-25,10,sku-5
|
| 1436 |
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2021-05-02,39,sku-5
|
| 1437 |
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2021-05-09,1,sku-5
|
| 1438 |
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2021-05-16,0,sku-5
|
| 1439 |
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2021-05-23,11,sku-5
|
| 1440 |
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2021-05-30,24,sku-5
|
| 1441 |
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2021-06-06,15,sku-5
|
| 1442 |
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2021-06-13,10,sku-5
|
| 1443 |
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2021-06-20,10,sku-5
|
| 1444 |
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2021-06-27,28,sku-5
|
| 1445 |
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2021-07-04,0,sku-5
|
| 1446 |
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2021-07-11,0,sku-5
|
| 1447 |
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2021-07-18,0,sku-5
|
| 1448 |
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2021-07-25,9,sku-5
|
| 1449 |
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2021-08-01,0,sku-5
|
| 1450 |
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2021-08-08,0,sku-5
|
| 1451 |
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2021-08-15,0,sku-5
|
| 1452 |
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2021-08-22,0,sku-5
|
| 1453 |
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2021-08-29,0,sku-5
|
| 1454 |
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2021-09-05,40,sku-5
|
| 1455 |
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2021-09-12,10,sku-5
|
| 1456 |
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2021-09-19,0,sku-5
|
| 1457 |
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2021-09-26,20,sku-5
|
| 1458 |
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2021-10-03,0,sku-5
|
| 1459 |
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2021-10-10,25,sku-5
|
| 1460 |
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2021-10-17,15,sku-5
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| 1461 |
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2021-10-24,10,sku-5
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| 1462 |
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2021-10-31,12,sku-5
|
| 1463 |
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2021-11-07,70,sku-5
|
| 1464 |
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2021-11-14,30,sku-5
|
| 1465 |
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2021-11-21,70,sku-5
|
| 1466 |
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2021-11-28,35,sku-5
|
| 1467 |
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2021-12-05,0,sku-5
|
| 1468 |
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2021-12-12,0,sku-5
|
| 1469 |
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2021-12-19,0,sku-5
|
| 1470 |
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2021-12-26,0,sku-5
|
| 1471 |
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2022-01-02,20,sku-5
|
| 1472 |
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2022-01-09,0,sku-5
|
| 1473 |
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2022-01-16,5,sku-5
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| 1474 |
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2022-01-23,10,sku-5
|
| 1475 |
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2022-01-30,25,sku-5
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| 1476 |
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2022-02-06,5,sku-5
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| 1477 |
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2022-02-13,30,sku-5
|
| 1478 |
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2022-02-20,0,sku-5
|
| 1479 |
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2022-02-27,42,sku-5
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| 1480 |
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2022-03-06,0,sku-5
|
| 1481 |
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2022-03-13,20,sku-5
|
| 1482 |
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2022-03-20,0,sku-5
|
| 1483 |
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2022-03-27,10,sku-5
|
| 1484 |
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2022-04-03,50,sku-5
|
| 1485 |
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2022-04-10,0,sku-5
|
| 1486 |
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2022-04-17,100,sku-5
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| 1487 |
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2022-04-24,0,sku-5
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| 1488 |
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2022-05-01,0,sku-5
|
| 1489 |
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2022-05-08,0,sku-5
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| 1490 |
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2022-05-15,15,sku-5
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| 1491 |
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2022-05-22,15,sku-5
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| 1492 |
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2022-05-29,10,sku-5
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| 1493 |
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2022-06-05,10,sku-5
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2022-06-12,20,sku-5
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| 1495 |
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2022-06-19,24,sku-5
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2022-06-26,0,sku-5
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| 1497 |
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2022-07-03,34,sku-5
|
| 1498 |
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2022-07-10,0,sku-5
|
| 1499 |
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2022-07-17,30,sku-5
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| 1500 |
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2022-07-24,44,sku-5
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2022-07-31,20,sku-5
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2022-08-07,0,sku-5
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2022-08-14,60,sku-5
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2022-08-21,46,sku-5
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2022-08-28,0,sku-5
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| 1506 |
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2022-09-04,35,sku-5
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| 1507 |
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2022-09-11,20,sku-5
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| 1508 |
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2022-09-18,0,sku-5
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2022-09-25,20,sku-5
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2022-10-02,20,sku-5
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2022-10-09,0,sku-5
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2022-10-16,20,sku-5
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2022-10-23,0,sku-5
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2022-10-30,0,sku-5
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2022-11-06,0,sku-5
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2022-11-13,0,sku-5
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2022-11-20,0,sku-5
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2022-11-27,30,sku-5
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| 1519 |
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2022-12-04,10,sku-5
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2022-12-11,60,sku-5
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2022-12-18,10,sku-5
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| 1522 |
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2022-12-25,100,sku-5
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2023-01-01,20,sku-5
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2023-01-08,10,sku-5
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2023-01-15,0,sku-5
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2023-01-22,0,sku-5
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| 1527 |
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2023-01-29,2,sku-5
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| 1528 |
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2023-02-05,0,sku-5
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| 1529 |
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2023-02-12,0,sku-5
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| 1530 |
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2023-02-19,20,sku-5
|
| 1531 |
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2023-02-26,5,sku-5
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| 1532 |
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2023-03-05,45,sku-5
|
| 1533 |
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2023-03-12,0,sku-5
|
| 1534 |
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2023-03-19,0,sku-5
|
| 1535 |
-
2023-03-26,0,sku-5
|
| 1536 |
-
2023-04-02,0,sku-5
|
| 1537 |
-
2023-04-09,60,sku-5
|
| 1538 |
-
2023-04-16,20,sku-5
|
| 1539 |
-
2023-04-23,5,sku-5
|
| 1540 |
-
2018-05-06,31,sku-6
|
| 1541 |
-
2018-05-13,31,sku-6
|
| 1542 |
-
2018-05-20,0,sku-6
|
| 1543 |
-
2018-05-27,5,sku-6
|
| 1544 |
-
2018-06-03,6,sku-6
|
| 1545 |
-
2018-06-10,28,sku-6
|
| 1546 |
-
2018-06-17,0,sku-6
|
| 1547 |
-
2018-06-24,36,sku-6
|
| 1548 |
-
2018-07-01,4,sku-6
|
| 1549 |
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2018-07-08,0,sku-6
|
| 1550 |
-
2018-07-15,29,sku-6
|
| 1551 |
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2018-07-22,0,sku-6
|
| 1552 |
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2018-07-29,10,sku-6
|
| 1553 |
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2018-08-05,0,sku-6
|
| 1554 |
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2018-08-12,27,sku-6
|
| 1555 |
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2018-08-19,0,sku-6
|
| 1556 |
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2018-08-26,6,sku-6
|
| 1557 |
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2018-09-02,0,sku-6
|
| 1558 |
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2018-09-09,0,sku-6
|
| 1559 |
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2018-09-16,0,sku-6
|
| 1560 |
-
2018-09-23,11,sku-6
|
| 1561 |
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2018-09-30,10,sku-6
|
| 1562 |
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2018-10-07,10,sku-6
|
| 1563 |
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2018-10-14,6,sku-6
|
| 1564 |
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2018-10-21,4,sku-6
|
| 1565 |
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2018-10-28,10,sku-6
|
| 1566 |
-
2018-11-04,12,sku-6
|
| 1567 |
-
2018-11-11,0,sku-6
|
| 1568 |
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2018-11-18,37,sku-6
|
| 1569 |
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2018-11-25,5,sku-6
|
| 1570 |
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2018-12-02,3,sku-6
|
| 1571 |
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2018-12-09,10,sku-6
|
| 1572 |
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2018-12-16,0,sku-6
|
| 1573 |
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2018-12-23,0,sku-6
|
| 1574 |
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2018-12-30,0,sku-6
|
| 1575 |
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2019-01-06,0,sku-6
|
| 1576 |
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2019-01-13,0,sku-6
|
| 1577 |
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2019-01-20,0,sku-6
|
| 1578 |
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2019-01-27,10,sku-6
|
| 1579 |
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2019-02-03,17,sku-6
|
| 1580 |
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2019-02-10,32,sku-6
|
| 1581 |
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2019-02-17,0,sku-6
|
| 1582 |
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2019-02-24,0,sku-6
|
| 1583 |
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2019-03-03,20,sku-6
|
| 1584 |
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2019-03-10,0,sku-6
|
| 1585 |
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2019-03-17,16,sku-6
|
| 1586 |
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2019-03-24,1,sku-6
|
| 1587 |
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2019-03-31,8,sku-6
|
| 1588 |
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2019-04-07,4,sku-6
|
| 1589 |
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2019-04-14,0,sku-6
|
| 1590 |
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2019-04-21,16,sku-6
|
| 1591 |
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2019-04-28,30,sku-6
|
| 1592 |
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2019-05-05,4,sku-6
|
| 1593 |
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2019-05-12,14,sku-6
|
| 1594 |
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2019-05-19,34,sku-6
|
| 1595 |
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2019-05-26,16,sku-6
|
| 1596 |
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2019-06-02,0,sku-6
|
| 1597 |
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2019-06-09,0,sku-6
|
| 1598 |
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2019-06-16,0,sku-6
|
| 1599 |
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2019-06-23,15,sku-6
|
| 1600 |
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2019-06-30,42,sku-6
|
| 1601 |
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2019-07-07,23,sku-6
|
| 1602 |
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2019-07-14,0,sku-6
|
| 1603 |
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2019-07-21,0,sku-6
|
| 1604 |
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2019-07-28,0,sku-6
|
| 1605 |
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2019-08-04,0,sku-6
|
| 1606 |
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2019-08-11,5,sku-6
|
| 1607 |
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2019-08-18,9,sku-6
|
| 1608 |
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2019-08-25,10,sku-6
|
| 1609 |
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2019-09-01,0,sku-6
|
| 1610 |
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2019-09-08,2,sku-6
|
| 1611 |
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2019-09-15,30,sku-6
|
| 1612 |
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2019-09-22,2,sku-6
|
| 1613 |
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2019-09-29,0,sku-6
|
| 1614 |
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2019-10-06,20,sku-6
|
| 1615 |
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2019-10-13,25,sku-6
|
| 1616 |
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2019-10-20,17,sku-6
|
| 1617 |
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2019-10-27,0,sku-6
|
| 1618 |
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2019-11-03,5,sku-6
|
| 1619 |
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2019-11-10,7,sku-6
|
| 1620 |
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2019-11-17,6,sku-6
|
| 1621 |
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2019-11-24,30,sku-6
|
| 1622 |
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2019-12-01,24,sku-6
|
| 1623 |
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2019-12-08,8,sku-6
|
| 1624 |
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2019-12-15,0,sku-6
|
| 1625 |
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2019-12-22,0,sku-6
|
| 1626 |
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2019-12-29,30,sku-6
|
| 1627 |
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2020-01-05,0,sku-6
|
| 1628 |
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2020-01-12,10,sku-6
|
| 1629 |
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2020-01-19,2,sku-6
|
| 1630 |
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2020-01-26,5,sku-6
|
| 1631 |
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2020-02-02,29,sku-6
|
| 1632 |
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2020-02-09,0,sku-6
|
| 1633 |
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2020-02-16,7,sku-6
|
| 1634 |
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2020-02-23,25,sku-6
|
| 1635 |
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2020-03-01,0,sku-6
|
| 1636 |
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2020-03-08,0,sku-6
|
| 1637 |
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2020-03-15,0,sku-6
|
| 1638 |
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2020-03-22,18,sku-6
|
| 1639 |
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2020-03-29,13,sku-6
|
| 1640 |
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2020-04-05,58,sku-6
|
| 1641 |
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2020-04-12,0,sku-6
|
| 1642 |
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2020-04-19,0,sku-6
|
| 1643 |
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2020-04-26,8,sku-6
|
| 1644 |
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2020-05-03,1,sku-6
|
| 1645 |
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2020-05-10,0,sku-6
|
| 1646 |
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2020-05-17,16,sku-6
|
| 1647 |
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2020-05-24,0,sku-6
|
| 1648 |
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2020-05-31,0,sku-6
|
| 1649 |
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2020-06-07,31,sku-6
|
| 1650 |
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2020-06-14,15,sku-6
|
| 1651 |
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2020-06-21,6,sku-6
|
| 1652 |
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2020-06-28,11,sku-6
|
| 1653 |
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2020-07-05,4,sku-6
|
| 1654 |
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2020-07-12,49,sku-6
|
| 1655 |
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2020-07-19,12,sku-6
|
| 1656 |
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2020-07-26,59,sku-6
|
| 1657 |
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2020-08-02,0,sku-6
|
| 1658 |
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2020-08-09,0,sku-6
|
| 1659 |
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2020-08-16,0,sku-6
|
| 1660 |
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2020-08-23,149,sku-6
|
| 1661 |
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2020-08-30,2,sku-6
|
| 1662 |
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2020-09-06,4,sku-6
|
| 1663 |
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2020-09-13,0,sku-6
|
| 1664 |
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2020-09-20,115,sku-6
|
| 1665 |
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2020-09-27,28,sku-6
|
| 1666 |
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2020-10-04,0,sku-6
|
| 1667 |
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2020-10-11,25,sku-6
|
| 1668 |
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2020-10-18,17,sku-6
|
| 1669 |
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2020-10-25,0,sku-6
|
| 1670 |
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2020-11-01,9,sku-6
|
| 1671 |
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2020-11-08,0,sku-6
|
| 1672 |
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2020-11-15,13,sku-6
|
| 1673 |
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2020-11-22,77,sku-6
|
| 1674 |
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2020-11-29,22,sku-6
|
| 1675 |
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2020-12-06,20,sku-6
|
| 1676 |
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2020-12-13,16,sku-6
|
| 1677 |
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2020-12-20,20,sku-6
|
| 1678 |
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2020-12-27,15,sku-6
|
| 1679 |
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2021-01-03,0,sku-6
|
| 1680 |
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2021-01-10,1,sku-6
|
| 1681 |
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2021-01-17,29,sku-6
|
| 1682 |
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2021-01-24,8,sku-6
|
| 1683 |
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2021-01-31,33,sku-6
|
| 1684 |
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2021-02-07,0,sku-6
|
| 1685 |
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2021-02-14,75,sku-6
|
| 1686 |
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2021-02-21,0,sku-6
|
| 1687 |
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2021-02-28,17,sku-6
|
| 1688 |
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2021-03-07,0,sku-6
|
| 1689 |
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2021-03-14,0,sku-6
|
| 1690 |
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2021-03-21,40,sku-6
|
| 1691 |
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2021-03-28,24,sku-6
|
| 1692 |
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2021-04-04,20,sku-6
|
| 1693 |
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2021-04-11,35,sku-6
|
| 1694 |
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2021-04-18,50,sku-6
|
| 1695 |
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2021-04-25,25,sku-6
|
| 1696 |
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2021-05-02,15,sku-6
|
| 1697 |
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2021-05-09,0,sku-6
|
| 1698 |
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2021-05-16,0,sku-6
|
| 1699 |
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2021-05-23,0,sku-6
|
| 1700 |
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2021-05-30,0,sku-6
|
| 1701 |
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2021-06-06,5,sku-6
|
| 1702 |
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2021-06-13,30,sku-6
|
| 1703 |
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2021-06-20,5,sku-6
|
| 1704 |
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2021-06-27,65,sku-6
|
| 1705 |
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2021-07-04,0,sku-6
|
| 1706 |
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2021-07-11,90,sku-6
|
| 1707 |
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2021-07-18,2,sku-6
|
| 1708 |
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2021-07-25,0,sku-6
|
| 1709 |
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2021-08-01,0,sku-6
|
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2021-08-08,0,sku-6
|
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2021-08-15,0,sku-6
|
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2021-08-22,50,sku-6
|
| 1713 |
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2021-08-29,0,sku-6
|
| 1714 |
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2021-09-05,5,sku-6
|
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2021-09-12,50,sku-6
|
| 1716 |
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2021-09-19,20,sku-6
|
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2021-09-26,43,sku-6
|
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2021-10-03,0,sku-6
|
| 1719 |
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2021-10-10,63,sku-6
|
| 1720 |
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2021-10-17,20,sku-6
|
| 1721 |
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2021-10-24,20,sku-6
|
| 1722 |
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2021-10-31,35,sku-6
|
| 1723 |
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2021-11-07,15,sku-6
|
| 1724 |
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2021-11-14,12,sku-6
|
| 1725 |
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2021-11-21,122,sku-6
|
| 1726 |
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2021-11-28,0,sku-6
|
| 1727 |
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2021-12-05,56,sku-6
|
| 1728 |
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2021-12-12,0,sku-6
|
| 1729 |
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2021-12-19,12,sku-6
|
| 1730 |
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2021-12-26,0,sku-6
|
| 1731 |
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2022-01-02,5,sku-6
|
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2022-01-09,0,sku-6
|
| 1733 |
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2022-01-16,15,sku-6
|
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2022-01-23,15,sku-6
|
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2022-01-30,0,sku-6
|
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2022-02-06,10,sku-6
|
| 1737 |
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2022-02-13,60,sku-6
|
| 1738 |
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2022-02-20,170,sku-6
|
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2022-02-27,50,sku-6
|
| 1740 |
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2022-03-06,0,sku-6
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2022-03-13,0,sku-6
|
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2022-03-20,0,sku-6
|
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2022-03-27,0,sku-6
|
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2022-04-03,0,sku-6
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2022-04-10,0,sku-6
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2022-04-17,0,sku-6
|
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2022-04-24,4,sku-6
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2022-05-01,11,sku-6
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2022-05-08,0,sku-6
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2022-05-15,0,sku-6
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2022-05-22,0,sku-6
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2022-05-29,0,sku-6
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2022-06-05,0,sku-6
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2022-06-12,0,sku-6
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2022-06-19,0,sku-6
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2022-06-26,0,sku-6
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2022-07-03,0,sku-6
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2022-07-10,0,sku-6
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2022-07-17,40,sku-6
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2022-07-24,50,sku-6
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2022-07-31,50,sku-6
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2022-08-07,0,sku-6
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2022-08-14,100,sku-6
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2022-08-21,0,sku-6
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2022-08-28,45,sku-6
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2022-09-04,50,sku-6
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2022-09-11,100,sku-6
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2022-09-18,50,sku-6
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2022-09-25,50,sku-6
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2022-10-02,20,sku-6
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2022-10-09,0,sku-6
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2022-10-16,0,sku-6
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2022-10-23,0,sku-6
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2022-10-30,0,sku-6
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2022-11-06,0,sku-6
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2022-11-13,0,sku-6
|
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2022-11-20,0,sku-6
|
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2022-11-27,0,sku-6
|
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2022-12-04,0,sku-6
|
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2022-12-11,20,sku-6
|
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2022-12-18,0,sku-6
|
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2022-12-25,60,sku-6
|
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2023-01-01,20,sku-6
|
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2023-01-08,10,sku-6
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2023-01-15,20,sku-6
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2023-01-22,0,sku-6
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2023-01-29,10,sku-6
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2023-02-05,0,sku-6
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2023-02-12,0,sku-6
|
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2023-02-19,0,sku-6
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2023-02-26,0,sku-6
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2023-03-05,20,sku-6
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2023-03-12,50,sku-6
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2023-03-19,0,sku-6
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2023-03-26,0,sku-6
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2023-04-02,10,sku-6
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2023-04-09,85,sku-6
|
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2023-04-16,50,sku-6
|
| 1799 |
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2018-05-06,5,sku-7
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| 1800 |
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2018-05-13,9,sku-7
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| 1801 |
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2018-05-20,5,sku-7
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| 1802 |
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2018-05-27,30,sku-7
|
| 1803 |
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2018-06-03,5,sku-7
|
| 1804 |
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2018-06-10,12,sku-7
|
| 1805 |
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2018-06-17,12,sku-7
|
| 1806 |
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2018-06-24,7,sku-7
|
| 1807 |
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2018-07-01,30,sku-7
|
| 1808 |
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2018-07-08,12,sku-7
|
| 1809 |
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2018-07-15,34,sku-7
|
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2018-07-22,15,sku-7
|
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2018-07-29,25,sku-7
|
| 1812 |
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2018-08-05,5,sku-7
|
| 1813 |
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2018-08-12,10,sku-7
|
| 1814 |
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2018-08-19,12,sku-7
|
| 1815 |
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2018-08-26,44,sku-7
|
| 1816 |
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2018-09-02,45,sku-7
|
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2018-09-09,13,sku-7
|
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2018-09-16,3,sku-7
|
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2018-09-23,43,sku-7
|
| 1820 |
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2018-09-30,13,sku-7
|
| 1821 |
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2018-10-07,5,sku-7
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| 1822 |
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2018-10-14,31,sku-7
|
| 1823 |
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2018-10-21,10,sku-7
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| 1824 |
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2018-10-28,45,sku-7
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| 1825 |
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2018-11-04,12,sku-7
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| 1826 |
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2018-11-11,12,sku-7
|
| 1827 |
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2018-11-18,84,sku-7
|
| 1828 |
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2018-11-25,12,sku-7
|
| 1829 |
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2018-12-02,9,sku-7
|
| 1830 |
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2018-12-09,31,sku-7
|
| 1831 |
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2018-12-16,43,sku-7
|
| 1832 |
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2018-12-23,1,sku-7
|
| 1833 |
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2018-12-30,12,sku-7
|
| 1834 |
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2019-01-06,12,sku-7
|
| 1835 |
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2019-01-13,12,sku-7
|
| 1836 |
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2019-01-20,12,sku-7
|
| 1837 |
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2019-01-27,1,sku-7
|
| 1838 |
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2019-02-03,12,sku-7
|
| 1839 |
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2019-02-10,12,sku-7
|
| 1840 |
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2019-02-17,12,sku-7
|
| 1841 |
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2019-02-24,39,sku-7
|
| 1842 |
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2019-03-03,25,sku-7
|
| 1843 |
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2019-03-10,5,sku-7
|
| 1844 |
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2019-03-17,11,sku-7
|
| 1845 |
-
2019-03-24,12,sku-7
|
| 1846 |
-
2019-03-31,85,sku-7
|
| 1847 |
-
2019-04-07,12,sku-7
|
| 1848 |
-
2019-04-14,12,sku-7
|
| 1849 |
-
2019-04-21,12,sku-7
|
| 1850 |
-
2019-04-28,12,sku-7
|
| 1851 |
-
2019-05-05,12,sku-7
|
| 1852 |
-
2019-05-12,12,sku-7
|
| 1853 |
-
2019-05-19,12,sku-7
|
| 1854 |
-
2019-05-26,3,sku-7
|
| 1855 |
-
2019-06-02,5,sku-7
|
| 1856 |
-
2019-06-09,12,sku-7
|
| 1857 |
-
2019-06-16,5,sku-7
|
| 1858 |
-
2019-06-23,18,sku-7
|
| 1859 |
-
2019-06-30,7,sku-7
|
| 1860 |
-
2019-07-07,10,sku-7
|
| 1861 |
-
2019-07-14,12,sku-7
|
| 1862 |
-
2019-07-21,8,sku-7
|
| 1863 |
-
2019-07-28,12,sku-7
|
| 1864 |
-
2019-08-04,32,sku-7
|
| 1865 |
-
2019-08-11,12,sku-7
|
| 1866 |
-
2019-08-18,34,sku-7
|
| 1867 |
-
2019-08-25,12,sku-7
|
| 1868 |
-
2019-09-01,12,sku-7
|
| 1869 |
-
2019-09-08,5,sku-7
|
| 1870 |
-
2019-09-15,6,sku-7
|
| 1871 |
-
2019-09-22,8,sku-7
|
| 1872 |
-
2019-09-29,12,sku-7
|
| 1873 |
-
2019-10-06,35,sku-7
|
| 1874 |
-
2019-10-13,12,sku-7
|
| 1875 |
-
2019-10-20,12,sku-7
|
| 1876 |
-
2019-10-27,12,sku-7
|
| 1877 |
-
2019-11-03,21,sku-7
|
| 1878 |
-
2019-11-10,7,sku-7
|
| 1879 |
-
2019-11-17,10,sku-7
|
| 1880 |
-
2019-11-24,16,sku-7
|
| 1881 |
-
2019-12-01,11,sku-7
|
| 1882 |
-
2019-12-08,9,sku-7
|
| 1883 |
-
2019-12-15,12,sku-7
|
| 1884 |
-
2019-12-22,12,sku-7
|
| 1885 |
-
2019-12-29,32,sku-7
|
| 1886 |
-
2020-01-05,12,sku-7
|
| 1887 |
-
2020-01-12,4,sku-7
|
| 1888 |
-
2020-01-19,15,sku-7
|
| 1889 |
-
2020-01-26,9,sku-7
|
| 1890 |
-
2020-02-02,10,sku-7
|
| 1891 |
-
2020-02-09,20,sku-7
|
| 1892 |
-
2020-02-16,13,sku-7
|
| 1893 |
-
2020-02-23,13,sku-7
|
| 1894 |
-
2020-03-01,10,sku-7
|
| 1895 |
-
2020-03-08,21,sku-7
|
| 1896 |
-
2020-03-15,17,sku-7
|
| 1897 |
-
2020-03-22,20,sku-7
|
| 1898 |
-
2020-03-29,9,sku-7
|
| 1899 |
-
2020-04-05,15,sku-7
|
| 1900 |
-
2020-04-12,12,sku-7
|
| 1901 |
-
2020-04-19,12,sku-7
|
| 1902 |
-
2020-04-26,4,sku-7
|
| 1903 |
-
2020-05-03,12,sku-7
|
| 1904 |
-
2020-05-10,12,sku-7
|
| 1905 |
-
2020-05-17,22,sku-7
|
| 1906 |
-
2020-05-24,12,sku-7
|
| 1907 |
-
2020-05-31,12,sku-7
|
| 1908 |
-
2020-06-07,12,sku-7
|
| 1909 |
-
2020-06-14,5,sku-7
|
| 1910 |
-
2020-06-21,11,sku-7
|
| 1911 |
-
2020-06-28,12,sku-7
|
| 1912 |
-
2020-07-05,5,sku-7
|
| 1913 |
-
2020-07-12,10,sku-7
|
| 1914 |
-
2020-07-19,12,sku-7
|
| 1915 |
-
2020-07-26,42,sku-7
|
| 1916 |
-
2020-08-02,12,sku-7
|
| 1917 |
-
2020-08-09,12,sku-7
|
| 1918 |
-
2020-08-16,12,sku-7
|
| 1919 |
-
2020-08-23,140,sku-7
|
| 1920 |
-
2020-08-30,55,sku-7
|
| 1921 |
-
2020-09-06,12,sku-7
|
| 1922 |
-
2020-09-13,12,sku-7
|
| 1923 |
-
2020-09-20,12,sku-7
|
| 1924 |
-
2020-09-27,12,sku-7
|
| 1925 |
-
2020-10-04,12,sku-7
|
| 1926 |
-
2020-10-11,12,sku-7
|
| 1927 |
-
2020-10-18,12,sku-7
|
| 1928 |
-
2020-10-25,12,sku-7
|
| 1929 |
-
2020-11-01,12,sku-7
|
| 1930 |
-
2020-11-08,12,sku-7
|
| 1931 |
-
2020-11-15,12,sku-7
|
| 1932 |
-
2020-11-22,12,sku-7
|
| 1933 |
-
2020-11-29,12,sku-7
|
| 1934 |
-
2020-12-06,9,sku-7
|
| 1935 |
-
2020-12-13,5,sku-7
|
| 1936 |
-
2020-12-20,12,sku-7
|
| 1937 |
-
2020-12-27,10,sku-7
|
| 1938 |
-
2021-01-03,12,sku-7
|
| 1939 |
-
2021-01-10,12,sku-7
|
| 1940 |
-
2021-01-17,12,sku-7
|
| 1941 |
-
2021-01-24,6,sku-7
|
| 1942 |
-
2021-01-31,24,sku-7
|
| 1943 |
-
2021-02-07,10,sku-7
|
| 1944 |
-
2021-02-14,82,sku-7
|
| 1945 |
-
2021-02-21,12,sku-7
|
| 1946 |
-
2021-02-28,12,sku-7
|
| 1947 |
-
2021-03-07,12,sku-7
|
| 1948 |
-
2021-03-14,12,sku-7
|
| 1949 |
-
2021-03-21,35,sku-7
|
| 1950 |
-
2021-03-28,12,sku-7
|
| 1951 |
-
2021-04-04,12,sku-7
|
| 1952 |
-
2021-04-11,12,sku-7
|
| 1953 |
-
2021-04-18,12,sku-7
|
| 1954 |
-
2021-04-25,18,sku-7
|
| 1955 |
-
2021-05-02,10,sku-7
|
| 1956 |
-
2021-05-09,12,sku-7
|
| 1957 |
-
2021-05-16,12,sku-7
|
| 1958 |
-
2021-05-23,3,sku-7
|
| 1959 |
-
2021-05-30,3,sku-7
|
| 1960 |
-
2021-06-06,5,sku-7
|
| 1961 |
-
2021-06-13,1,sku-7
|
| 1962 |
-
2021-06-20,2,sku-7
|
| 1963 |
-
2021-06-27,15,sku-7
|
| 1964 |
-
2021-07-04,15,sku-7
|
| 1965 |
-
2021-07-11,2,sku-7
|
| 1966 |
-
2021-07-18,2,sku-7
|
| 1967 |
-
2021-07-25,2,sku-7
|
| 1968 |
-
2021-08-01,10,sku-7
|
| 1969 |
-
2021-08-08,20,sku-7
|
| 1970 |
-
2021-08-15,25,sku-7
|
| 1971 |
-
2021-08-22,12,sku-7
|
| 1972 |
-
2021-08-29,12,sku-7
|
| 1973 |
-
2021-09-05,12,sku-7
|
| 1974 |
-
2021-09-12,12,sku-7
|
| 1975 |
-
2021-09-19,12,sku-7
|
| 1976 |
-
2021-09-26,5,sku-7
|
| 1977 |
-
2021-10-03,12,sku-7
|
| 1978 |
-
2021-10-10,7,sku-7
|
| 1979 |
-
2021-10-17,25,sku-7
|
| 1980 |
-
2021-10-24,10,sku-7
|
| 1981 |
-
2021-10-31,5,sku-7
|
| 1982 |
-
2021-11-07,15,sku-7
|
| 1983 |
-
2021-11-14,8,sku-7
|
| 1984 |
-
2021-11-21,14,sku-7
|
| 1985 |
-
2021-11-28,18,sku-7
|
| 1986 |
-
2021-12-05,65,sku-7
|
| 1987 |
-
2021-12-12,12,sku-7
|
| 1988 |
-
2021-12-19,12,sku-7
|
| 1989 |
-
2021-12-26,12,sku-7
|
| 1990 |
-
2022-01-02,10,sku-7
|
| 1991 |
-
2022-01-09,15,sku-7
|
| 1992 |
-
2022-01-16,1,sku-7
|
| 1993 |
-
2022-01-23,60,sku-7
|
| 1994 |
-
2022-01-30,12,sku-7
|
| 1995 |
-
2022-02-06,30,sku-7
|
| 1996 |
-
2022-02-13,20,sku-7
|
| 1997 |
-
2022-02-20,10,sku-7
|
| 1998 |
-
2022-02-27,12,sku-7
|
| 1999 |
-
2022-03-06,12,sku-7
|
| 2000 |
-
2022-03-13,12,sku-7
|
| 2001 |
-
2022-03-20,12,sku-7
|
| 2002 |
-
2022-03-27,20,sku-7
|
| 2003 |
-
2022-04-03,12,sku-7
|
| 2004 |
-
2022-04-10,25,sku-7
|
| 2005 |
-
2022-04-17,15,sku-7
|
| 2006 |
-
2022-04-24,15,sku-7
|
| 2007 |
-
2022-05-01,10,sku-7
|
| 2008 |
-
2022-05-08,12,sku-7
|
| 2009 |
-
2022-05-15,13,sku-7
|
| 2010 |
-
2022-05-22,7,sku-7
|
| 2011 |
-
2022-05-29,26,sku-7
|
| 2012 |
-
2022-06-05,18,sku-7
|
| 2013 |
-
2022-06-12,12,sku-7
|
| 2014 |
-
2022-06-19,12,sku-7
|
| 2015 |
-
2022-06-26,12,sku-7
|
| 2016 |
-
2022-07-03,35,sku-7
|
| 2017 |
-
2022-07-10,20,sku-7
|
| 2018 |
-
2022-07-17,30,sku-7
|
| 2019 |
-
2022-07-24,8,sku-7
|
| 2020 |
-
2022-07-31,12,sku-7
|
| 2021 |
-
2022-08-07,50,sku-7
|
| 2022 |
-
2022-08-14,33,sku-7
|
| 2023 |
-
2022-08-21,12,sku-7
|
| 2024 |
-
2022-08-28,12,sku-7
|
| 2025 |
-
2022-09-04,10,sku-7
|
| 2026 |
-
2022-09-11,10,sku-7
|
| 2027 |
-
2022-09-18,12,sku-7
|
| 2028 |
-
2022-09-25,20,sku-7
|
| 2029 |
-
2022-10-02,20,sku-7
|
| 2030 |
-
2022-10-09,12,sku-7
|
| 2031 |
-
2022-10-16,50,sku-7
|
| 2032 |
-
2022-10-23,12,sku-7
|
| 2033 |
-
2022-10-30,12,sku-7
|
| 2034 |
-
2022-11-06,12,sku-7
|
| 2035 |
-
2022-11-13,12,sku-7
|
| 2036 |
-
2022-11-20,12,sku-7
|
| 2037 |
-
2022-11-27,20,sku-7
|
| 2038 |
-
2022-12-04,50,sku-7
|
| 2039 |
-
2022-12-11,60,sku-7
|
| 2040 |
-
2022-12-18,10,sku-7
|
| 2041 |
-
2022-12-25,40,sku-7
|
| 2042 |
-
2023-01-01,10,sku-7
|
| 2043 |
-
2023-01-08,30,sku-7
|
| 2044 |
-
2023-01-15,12,sku-7
|
| 2045 |
-
2023-01-22,60,sku-7
|
| 2046 |
-
2023-01-29,45,sku-7
|
| 2047 |
-
2023-02-05,5,sku-7
|
| 2048 |
-
2023-02-12,10,sku-7
|
| 2049 |
-
2023-02-19,7,sku-7
|
| 2050 |
-
2023-02-26,40,sku-7
|
| 2051 |
-
2023-03-05,20,sku-7
|
| 2052 |
-
2023-03-12,25,sku-7
|
| 2053 |
-
2023-03-19,12,sku-7
|
| 2054 |
-
2023-03-26,12,sku-7
|
| 2055 |
-
2023-04-02,35,sku-7
|
| 2056 |
-
2023-04-09,12,sku-7
|
| 2057 |
-
2023-04-16,12,sku-7
|
| 2058 |
-
2023-04-23,20,sku-7
|
| 2059 |
-
2018-05-20,1,sku-8
|
| 2060 |
-
2018-05-27,16,sku-8
|
| 2061 |
-
2018-06-03,8,sku-8
|
| 2062 |
-
2018-06-10,0,sku-8
|
| 2063 |
-
2018-06-17,0,sku-8
|
| 2064 |
-
2018-06-24,7,sku-8
|
| 2065 |
-
2018-07-01,0,sku-8
|
| 2066 |
-
2018-07-08,0,sku-8
|
| 2067 |
-
2018-07-15,1,sku-8
|
| 2068 |
-
2018-07-22,2,sku-8
|
| 2069 |
-
2018-07-29,0,sku-8
|
| 2070 |
-
2018-08-05,0,sku-8
|
| 2071 |
-
2018-08-12,0,sku-8
|
| 2072 |
-
2018-08-19,0,sku-8
|
| 2073 |
-
2018-08-26,0,sku-8
|
| 2074 |
-
2018-09-02,10,sku-8
|
| 2075 |
-
2018-09-09,0,sku-8
|
| 2076 |
-
2018-09-16,6,sku-8
|
| 2077 |
-
2018-09-23,6,sku-8
|
| 2078 |
-
2018-09-30,2,sku-8
|
| 2079 |
-
2018-10-07,7,sku-8
|
| 2080 |
-
2018-10-14,0,sku-8
|
| 2081 |
-
2018-10-21,2,sku-8
|
| 2082 |
-
2018-10-28,1,sku-8
|
| 2083 |
-
2018-11-04,1,sku-8
|
| 2084 |
-
2018-11-11,0,sku-8
|
| 2085 |
-
2018-11-18,6,sku-8
|
| 2086 |
-
2018-11-25,0,sku-8
|
| 2087 |
-
2018-12-02,0,sku-8
|
| 2088 |
-
2018-12-09,3,sku-8
|
| 2089 |
-
2018-12-16,2,sku-8
|
| 2090 |
-
2018-12-23,0,sku-8
|
| 2091 |
-
2018-12-30,5,sku-8
|
| 2092 |
-
2019-01-06,0,sku-8
|
| 2093 |
-
2019-01-13,18,sku-8
|
| 2094 |
-
2019-01-20,5,sku-8
|
| 2095 |
-
2019-01-27,0,sku-8
|
| 2096 |
-
2019-02-03,12,sku-8
|
| 2097 |
-
2019-02-10,2,sku-8
|
| 2098 |
-
2019-02-17,0,sku-8
|
| 2099 |
-
2019-02-24,12,sku-8
|
| 2100 |
-
2019-03-03,6,sku-8
|
| 2101 |
-
2019-03-10,7,sku-8
|
| 2102 |
-
2019-03-17,0,sku-8
|
| 2103 |
-
2019-03-24,12,sku-8
|
| 2104 |
-
2019-03-31,9,sku-8
|
| 2105 |
-
2019-04-07,11,sku-8
|
| 2106 |
-
2019-04-14,3,sku-8
|
| 2107 |
-
2019-04-21,0,sku-8
|
| 2108 |
-
2019-04-28,3,sku-8
|
| 2109 |
-
2019-05-05,15,sku-8
|
| 2110 |
-
2019-05-12,14,sku-8
|
| 2111 |
-
2019-05-19,4,sku-8
|
| 2112 |
-
2019-05-26,4,sku-8
|
| 2113 |
-
2019-06-02,2,sku-8
|
| 2114 |
-
2019-06-09,0,sku-8
|
| 2115 |
-
2019-06-16,0,sku-8
|
| 2116 |
-
2019-06-23,5,sku-8
|
| 2117 |
-
2019-06-30,6,sku-8
|
| 2118 |
-
2019-07-07,0,sku-8
|
| 2119 |
-
2019-07-14,0,sku-8
|
| 2120 |
-
2019-07-21,22,sku-8
|
| 2121 |
-
2019-07-28,0,sku-8
|
| 2122 |
-
2019-08-04,19,sku-8
|
| 2123 |
-
2019-08-11,3,sku-8
|
| 2124 |
-
2019-08-18,7,sku-8
|
| 2125 |
-
2019-08-25,0,sku-8
|
| 2126 |
-
2019-09-01,0,sku-8
|
| 2127 |
-
2019-09-08,11,sku-8
|
| 2128 |
-
2019-09-15,7,sku-8
|
| 2129 |
-
2019-09-22,0,sku-8
|
| 2130 |
-
2019-09-29,0,sku-8
|
| 2131 |
-
2019-10-06,18,sku-8
|
| 2132 |
-
2019-10-13,1,sku-8
|
| 2133 |
-
2019-10-20,14,sku-8
|
| 2134 |
-
2019-10-27,0,sku-8
|
| 2135 |
-
2019-11-03,9,sku-8
|
| 2136 |
-
2019-11-10,3,sku-8
|
| 2137 |
-
2019-11-17,0,sku-8
|
| 2138 |
-
2019-11-24,7,sku-8
|
| 2139 |
-
2019-12-01,9,sku-8
|
| 2140 |
-
2019-12-08,1,sku-8
|
| 2141 |
-
2019-12-15,0,sku-8
|
| 2142 |
-
2019-12-22,0,sku-8
|
| 2143 |
-
2019-12-29,0,sku-8
|
| 2144 |
-
2020-01-05,0,sku-8
|
| 2145 |
-
2020-01-12,4,sku-8
|
| 2146 |
-
2020-01-19,11,sku-8
|
| 2147 |
-
2020-01-26,19,sku-8
|
| 2148 |
-
2020-02-02,8,sku-8
|
| 2149 |
-
2020-02-09,2,sku-8
|
| 2150 |
-
2020-02-16,13,sku-8
|
| 2151 |
-
2020-02-23,2,sku-8
|
| 2152 |
-
2020-03-01,16,sku-8
|
| 2153 |
-
2020-03-08,5,sku-8
|
| 2154 |
-
2020-03-15,5,sku-8
|
| 2155 |
-
2020-03-22,9,sku-8
|
| 2156 |
-
2020-03-29,21,sku-8
|
| 2157 |
-
2020-04-05,7,sku-8
|
| 2158 |
-
2020-04-12,0,sku-8
|
| 2159 |
-
2020-04-19,0,sku-8
|
| 2160 |
-
2020-04-26,17,sku-8
|
| 2161 |
-
2020-05-03,4,sku-8
|
| 2162 |
-
2020-05-10,2,sku-8
|
| 2163 |
-
2020-05-17,19,sku-8
|
| 2164 |
-
2020-05-24,0,sku-8
|
| 2165 |
-
2020-05-31,0,sku-8
|
| 2166 |
-
2020-06-07,18,sku-8
|
| 2167 |
-
2020-06-14,0,sku-8
|
| 2168 |
-
2020-06-21,15,sku-8
|
| 2169 |
-
2020-06-28,2,sku-8
|
| 2170 |
-
2020-07-05,2,sku-8
|
| 2171 |
-
2020-07-12,0,sku-8
|
| 2172 |
-
2020-07-19,9,sku-8
|
| 2173 |
-
2020-07-26,29,sku-8
|
| 2174 |
-
2020-08-02,0,sku-8
|
| 2175 |
-
2020-08-09,0,sku-8
|
| 2176 |
-
2020-08-16,0,sku-8
|
| 2177 |
-
2020-08-23,33,sku-8
|
| 2178 |
-
2020-08-30,0,sku-8
|
| 2179 |
-
2020-09-06,6,sku-8
|
| 2180 |
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2020-09-13,25,sku-8
|
| 2181 |
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2020-09-20,0,sku-8
|
| 2182 |
-
2020-09-27,6,sku-8
|
| 2183 |
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2020-10-04,15,sku-8
|
| 2184 |
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2020-10-11,21,sku-8
|
| 2185 |
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2020-10-18,19,sku-8
|
| 2186 |
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2020-10-25,5,sku-8
|
| 2187 |
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2020-11-01,12,sku-8
|
| 2188 |
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2020-11-08,0,sku-8
|
| 2189 |
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2020-11-15,7,sku-8
|
| 2190 |
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2020-11-22,2,sku-8
|
| 2191 |
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2020-11-29,6,sku-8
|
| 2192 |
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2020-12-06,9,sku-8
|
| 2193 |
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2020-12-13,4,sku-8
|
| 2194 |
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2020-12-20,17,sku-8
|
| 2195 |
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2020-12-27,12,sku-8
|
| 2196 |
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2021-01-03,0,sku-8
|
| 2197 |
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2021-01-10,0,sku-8
|
| 2198 |
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2021-01-17,10,sku-8
|
| 2199 |
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2021-01-24,12,sku-8
|
| 2200 |
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2021-01-31,5,sku-8
|
| 2201 |
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2021-02-07,25,sku-8
|
| 2202 |
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2021-02-14,40,sku-8
|
| 2203 |
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2021-02-21,0,sku-8
|
| 2204 |
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2021-02-28,0,sku-8
|
| 2205 |
-
2021-03-07,0,sku-8
|
| 2206 |
-
2021-03-14,0,sku-8
|
| 2207 |
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2021-03-21,0,sku-8
|
| 2208 |
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2021-03-28,0,sku-8
|
| 2209 |
-
2021-04-04,0,sku-8
|
| 2210 |
-
2021-04-11,0,sku-8
|
| 2211 |
-
2021-04-18,13,sku-8
|
| 2212 |
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2021-04-25,10,sku-8
|
| 2213 |
-
2021-05-02,29,sku-8
|
| 2214 |
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2021-05-09,0,sku-8
|
| 2215 |
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2021-05-16,0,sku-8
|
| 2216 |
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2021-05-23,0,sku-8
|
| 2217 |
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2021-05-30,0,sku-8
|
| 2218 |
-
2021-06-06,0,sku-8
|
| 2219 |
-
2021-06-13,7,sku-8
|
| 2220 |
-
2021-06-20,5,sku-8
|
| 2221 |
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2021-06-27,15,sku-8
|
| 2222 |
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2021-07-04,0,sku-8
|
| 2223 |
-
2021-07-11,10,sku-8
|
| 2224 |
-
2021-07-18,5,sku-8
|
| 2225 |
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2021-07-25,0,sku-8
|
| 2226 |
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2021-08-01,0,sku-8
|
| 2227 |
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2021-08-08,0,sku-8
|
| 2228 |
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2021-08-15,0,sku-8
|
| 2229 |
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2021-08-22,0,sku-8
|
| 2230 |
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2021-08-29,0,sku-8
|
| 2231 |
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2021-09-05,18,sku-8
|
| 2232 |
-
2021-09-12,15,sku-8
|
| 2233 |
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2021-09-19,12,sku-8
|
| 2234 |
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2021-09-26,7,sku-8
|
| 2235 |
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2021-10-03,0,sku-8
|
| 2236 |
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2021-10-10,10,sku-8
|
| 2237 |
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2021-10-17,10,sku-8
|
| 2238 |
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2021-10-24,20,sku-8
|
| 2239 |
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2021-10-31,5,sku-8
|
| 2240 |
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2021-11-07,16,sku-8
|
| 2241 |
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2021-11-14,9,sku-8
|
| 2242 |
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2021-11-21,30,sku-8
|
| 2243 |
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2021-11-28,12,sku-8
|
| 2244 |
-
2021-12-05,0,sku-8
|
| 2245 |
-
2021-12-12,18,sku-8
|
| 2246 |
-
2021-12-19,8,sku-8
|
| 2247 |
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2021-12-26,0,sku-8
|
| 2248 |
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2022-01-02,5,sku-8
|
| 2249 |
-
2022-01-09,0,sku-8
|
| 2250 |
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2022-01-16,5,sku-8
|
| 2251 |
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2022-01-23,30,sku-8
|
| 2252 |
-
2022-01-30,20,sku-8
|
| 2253 |
-
2022-02-06,10,sku-8
|
| 2254 |
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2022-02-13,30,sku-8
|
| 2255 |
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2022-02-20,0,sku-8
|
| 2256 |
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2022-02-27,0,sku-8
|
| 2257 |
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2022-03-06,30,sku-8
|
| 2258 |
-
2022-03-13,0,sku-8
|
| 2259 |
-
2022-03-20,30,sku-8
|
| 2260 |
-
2022-03-27,0,sku-8
|
| 2261 |
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2022-04-03,0,sku-8
|
| 2262 |
-
2022-04-10,20,sku-8
|
| 2263 |
-
2022-04-17,30,sku-8
|
| 2264 |
-
2022-04-24,0,sku-8
|
| 2265 |
-
2022-05-01,10,sku-8
|
| 2266 |
-
2022-05-08,0,sku-8
|
| 2267 |
-
2022-05-15,15,sku-8
|
| 2268 |
-
2022-05-22,10,sku-8
|
| 2269 |
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2022-05-29,15,sku-8
|
| 2270 |
-
2022-06-05,10,sku-8
|
| 2271 |
-
2022-06-12,20,sku-8
|
| 2272 |
-
2022-06-19,3,sku-8
|
| 2273 |
-
2022-06-26,20,sku-8
|
| 2274 |
-
2022-07-03,0,sku-8
|
| 2275 |
-
2022-07-10,0,sku-8
|
| 2276 |
-
2022-07-17,20,sku-8
|
| 2277 |
-
2022-07-24,0,sku-8
|
| 2278 |
-
2022-07-31,10,sku-8
|
| 2279 |
-
2022-08-07,20,sku-8
|
| 2280 |
-
2022-08-14,20,sku-8
|
| 2281 |
-
2022-08-21,11,sku-8
|
| 2282 |
-
2022-08-28,10,sku-8
|
| 2283 |
-
2022-09-04,44,sku-8
|
| 2284 |
-
2022-09-11,20,sku-8
|
| 2285 |
-
2022-09-18,11,sku-8
|
| 2286 |
-
2022-09-25,0,sku-8
|
| 2287 |
-
2022-10-02,10,sku-8
|
| 2288 |
-
2022-10-09,0,sku-8
|
| 2289 |
-
2022-10-16,30,sku-8
|
| 2290 |
-
2022-10-23,0,sku-8
|
| 2291 |
-
2022-10-30,0,sku-8
|
| 2292 |
-
2022-11-06,0,sku-8
|
| 2293 |
-
2022-11-13,0,sku-8
|
| 2294 |
-
2022-11-20,0,sku-8
|
| 2295 |
-
2022-11-27,0,sku-8
|
| 2296 |
-
2022-12-04,0,sku-8
|
| 2297 |
-
2022-12-11,0,sku-8
|
| 2298 |
-
2022-12-18,5,sku-8
|
| 2299 |
-
2022-12-25,10,sku-8
|
| 2300 |
-
2023-01-01,5,sku-8
|
| 2301 |
-
2023-01-08,0,sku-8
|
| 2302 |
-
2023-01-15,0,sku-8
|
| 2303 |
-
2023-01-22,10,sku-8
|
| 2304 |
-
2023-01-29,15,sku-8
|
| 2305 |
-
2023-02-05,5,sku-8
|
| 2306 |
-
2023-02-12,5,sku-8
|
| 2307 |
-
2023-02-19,10,sku-8
|
| 2308 |
-
2023-02-26,2,sku-8
|
| 2309 |
-
2023-03-05,2,sku-8
|
| 2310 |
-
2023-03-12,3,sku-8
|
| 2311 |
-
2023-03-19,10,sku-8
|
| 2312 |
-
2023-03-26,22,sku-8
|
| 2313 |
-
2023-04-02,8,sku-8
|
| 2314 |
-
2023-04-09,20,sku-8
|
| 2315 |
-
2023-04-16,0,sku-8
|
| 2316 |
-
2023-04-23,5,sku-8
|
| 2317 |
-
2018-05-27,5,sku-9
|
| 2318 |
-
2018-06-03,9,sku-9
|
| 2319 |
-
2018-06-10,2,sku-9
|
| 2320 |
-
2018-06-17,0,sku-9
|
| 2321 |
-
2018-06-24,10,sku-9
|
| 2322 |
-
2018-07-01,0,sku-9
|
| 2323 |
-
2018-07-08,0,sku-9
|
| 2324 |
-
2018-07-15,2,sku-9
|
| 2325 |
-
2018-07-22,13,sku-9
|
| 2326 |
-
2018-07-29,2,sku-9
|
| 2327 |
-
2018-08-05,2,sku-9
|
| 2328 |
-
2018-08-12,11,sku-9
|
| 2329 |
-
2018-08-19,0,sku-9
|
| 2330 |
-
2018-08-26,12,sku-9
|
| 2331 |
-
2018-09-02,1,sku-9
|
| 2332 |
-
2018-09-09,2,sku-9
|
| 2333 |
-
2018-09-16,3,sku-9
|
| 2334 |
-
2018-09-23,21,sku-9
|
| 2335 |
-
2018-09-30,5,sku-9
|
| 2336 |
-
2018-10-07,3,sku-9
|
| 2337 |
-
2018-10-14,3,sku-9
|
| 2338 |
-
2018-10-21,1,sku-9
|
| 2339 |
-
2018-10-28,9,sku-9
|
| 2340 |
-
2018-11-04,12,sku-9
|
| 2341 |
-
2018-11-11,0,sku-9
|
| 2342 |
-
2018-11-18,11,sku-9
|
| 2343 |
-
2018-11-25,24,sku-9
|
| 2344 |
-
2018-12-02,3,sku-9
|
| 2345 |
-
2018-12-09,7,sku-9
|
| 2346 |
-
2018-12-16,3,sku-9
|
| 2347 |
-
2018-12-23,43,sku-9
|
| 2348 |
-
2018-12-30,7,sku-9
|
| 2349 |
-
2019-01-06,0,sku-9
|
| 2350 |
-
2019-01-13,1,sku-9
|
| 2351 |
-
2019-01-20,1,sku-9
|
| 2352 |
-
2019-01-27,5,sku-9
|
| 2353 |
-
2019-02-03,10,sku-9
|
| 2354 |
-
2019-02-10,0,sku-9
|
| 2355 |
-
2019-02-17,0,sku-9
|
| 2356 |
-
2019-02-24,3,sku-9
|
| 2357 |
-
2019-03-03,5,sku-9
|
| 2358 |
-
2019-03-10,0,sku-9
|
| 2359 |
-
2019-03-17,17,sku-9
|
| 2360 |
-
2019-03-24,6,sku-9
|
| 2361 |
-
2019-03-31,10,sku-9
|
| 2362 |
-
2019-04-07,10,sku-9
|
| 2363 |
-
2019-04-14,30,sku-9
|
| 2364 |
-
2019-04-21,0,sku-9
|
| 2365 |
-
2019-04-28,0,sku-9
|
| 2366 |
-
2019-05-05,24,sku-9
|
| 2367 |
-
2019-05-12,9,sku-9
|
| 2368 |
-
2019-05-19,10,sku-9
|
| 2369 |
-
2019-05-26,30,sku-9
|
| 2370 |
-
2019-06-02,0,sku-9
|
| 2371 |
-
2019-06-09,0,sku-9
|
| 2372 |
-
2019-06-16,0,sku-9
|
| 2373 |
-
2019-06-23,0,sku-9
|
| 2374 |
-
2019-06-30,0,sku-9
|
| 2375 |
-
2019-07-07,0,sku-9
|
| 2376 |
-
2019-07-14,0,sku-9
|
| 2377 |
-
2019-07-21,0,sku-9
|
| 2378 |
-
2019-07-28,15,sku-9
|
| 2379 |
-
2019-08-04,0,sku-9
|
| 2380 |
-
2019-08-11,0,sku-9
|
| 2381 |
-
2019-08-18,0,sku-9
|
| 2382 |
-
2019-08-25,3,sku-9
|
| 2383 |
-
2019-09-01,2,sku-9
|
| 2384 |
-
2019-09-08,5,sku-9
|
| 2385 |
-
2019-09-15,1,sku-9
|
| 2386 |
-
2019-09-22,0,sku-9
|
| 2387 |
-
2019-09-29,0,sku-9
|
| 2388 |
-
2019-10-06,8,sku-9
|
| 2389 |
-
2019-10-13,0,sku-9
|
| 2390 |
-
2019-10-20,10,sku-9
|
| 2391 |
-
2019-10-27,5,sku-9
|
| 2392 |
-
2019-11-03,8,sku-9
|
| 2393 |
-
2019-11-10,9,sku-9
|
| 2394 |
-
2019-11-17,2,sku-9
|
| 2395 |
-
2019-11-24,7,sku-9
|
| 2396 |
-
2019-12-01,22,sku-9
|
| 2397 |
-
2019-12-08,2,sku-9
|
| 2398 |
-
2019-12-15,0,sku-9
|
| 2399 |
-
2019-12-22,0,sku-9
|
| 2400 |
-
2019-12-29,13,sku-9
|
| 2401 |
-
2020-01-05,0,sku-9
|
| 2402 |
-
2020-01-12,0,sku-9
|
| 2403 |
-
2020-01-19,0,sku-9
|
| 2404 |
-
2020-01-26,0,sku-9
|
| 2405 |
-
2020-02-02,5,sku-9
|
| 2406 |
-
2020-02-09,0,sku-9
|
| 2407 |
-
2020-02-16,6,sku-9
|
| 2408 |
-
2020-02-23,13,sku-9
|
| 2409 |
-
2020-03-01,7,sku-9
|
| 2410 |
-
2020-03-08,3,sku-9
|
| 2411 |
-
2020-03-15,6,sku-9
|
| 2412 |
-
2020-03-22,5,sku-9
|
| 2413 |
-
2020-03-29,19,sku-9
|
| 2414 |
-
2020-04-05,8,sku-9
|
| 2415 |
-
2020-04-12,0,sku-9
|
| 2416 |
-
2020-04-19,0,sku-9
|
| 2417 |
-
2020-04-26,4,sku-9
|
| 2418 |
-
2020-05-03,5,sku-9
|
| 2419 |
-
2020-05-10,0,sku-9
|
| 2420 |
-
2020-05-17,4,sku-9
|
| 2421 |
-
2020-05-24,1,sku-9
|
| 2422 |
-
2020-05-31,4,sku-9
|
| 2423 |
-
2020-06-07,8,sku-9
|
| 2424 |
-
2020-06-14,10,sku-9
|
| 2425 |
-
2020-06-21,0,sku-9
|
| 2426 |
-
2020-06-28,1,sku-9
|
| 2427 |
-
2020-07-05,3,sku-9
|
| 2428 |
-
2020-07-12,9,sku-9
|
| 2429 |
-
2020-07-19,18,sku-9
|
| 2430 |
-
2020-07-26,18,sku-9
|
| 2431 |
-
2020-08-02,0,sku-9
|
| 2432 |
-
2020-08-09,0,sku-9
|
| 2433 |
-
2020-08-16,0,sku-9
|
| 2434 |
-
2020-08-23,26,sku-9
|
| 2435 |
-
2020-08-30,0,sku-9
|
| 2436 |
-
2020-09-06,0,sku-9
|
| 2437 |
-
2020-09-13,0,sku-9
|
| 2438 |
-
2020-09-20,0,sku-9
|
| 2439 |
-
2020-09-27,2,sku-9
|
| 2440 |
-
2020-10-04,7,sku-9
|
| 2441 |
-
2020-10-11,1,sku-9
|
| 2442 |
-
2020-10-18,8,sku-9
|
| 2443 |
-
2020-10-25,0,sku-9
|
| 2444 |
-
2020-11-01,12,sku-9
|
| 2445 |
-
2020-11-08,4,sku-9
|
| 2446 |
-
2020-11-15,16,sku-9
|
| 2447 |
-
2020-11-22,2,sku-9
|
| 2448 |
-
2020-11-29,3,sku-9
|
| 2449 |
-
2020-12-06,3,sku-9
|
| 2450 |
-
2020-12-13,2,sku-9
|
| 2451 |
-
2020-12-20,20,sku-9
|
| 2452 |
-
2020-12-27,2,sku-9
|
| 2453 |
-
2021-01-03,0,sku-9
|
| 2454 |
-
2021-01-10,5,sku-9
|
| 2455 |
-
2021-01-17,5,sku-9
|
| 2456 |
-
2021-01-24,40,sku-9
|
| 2457 |
-
2021-01-31,0,sku-9
|
| 2458 |
-
2021-02-07,0,sku-9
|
| 2459 |
-
2021-02-14,0,sku-9
|
| 2460 |
-
2021-02-21,0,sku-9
|
| 2461 |
-
2021-02-28,0,sku-9
|
| 2462 |
-
2021-03-07,0,sku-9
|
| 2463 |
-
2021-03-14,0,sku-9
|
| 2464 |
-
2021-03-21,10,sku-9
|
| 2465 |
-
2021-03-28,20,sku-9
|
| 2466 |
-
2021-04-04,0,sku-9
|
| 2467 |
-
2021-04-11,10,sku-9
|
| 2468 |
-
2021-04-18,8,sku-9
|
| 2469 |
-
2021-04-25,15,sku-9
|
| 2470 |
-
2021-05-02,17,sku-9
|
| 2471 |
-
2021-05-09,0,sku-9
|
| 2472 |
-
2021-05-16,0,sku-9
|
| 2473 |
-
2021-05-23,20,sku-9
|
| 2474 |
-
2021-05-30,0,sku-9
|
| 2475 |
-
2021-06-06,0,sku-9
|
| 2476 |
-
2021-06-13,10,sku-9
|
| 2477 |
-
2021-06-20,10,sku-9
|
| 2478 |
-
2021-06-27,32,sku-9
|
| 2479 |
-
2021-07-04,0,sku-9
|
| 2480 |
-
2021-07-11,15,sku-9
|
| 2481 |
-
2021-07-18,5,sku-9
|
| 2482 |
-
2021-07-25,0,sku-9
|
| 2483 |
-
2021-08-01,0,sku-9
|
| 2484 |
-
2021-08-08,0,sku-9
|
| 2485 |
-
2021-08-15,0,sku-9
|
| 2486 |
-
2021-08-22,0,sku-9
|
| 2487 |
-
2021-08-29,15,sku-9
|
| 2488 |
-
2021-09-05,22,sku-9
|
| 2489 |
-
2021-09-12,20,sku-9
|
| 2490 |
-
2021-09-19,0,sku-9
|
| 2491 |
-
2021-09-26,0,sku-9
|
| 2492 |
-
2021-10-03,0,sku-9
|
| 2493 |
-
2021-10-10,0,sku-9
|
| 2494 |
-
2021-10-17,5,sku-9
|
| 2495 |
-
2021-10-24,15,sku-9
|
| 2496 |
-
2021-10-31,10,sku-9
|
| 2497 |
-
2021-11-07,0,sku-9
|
| 2498 |
-
2021-11-14,5,sku-9
|
| 2499 |
-
2021-11-21,11,sku-9
|
| 2500 |
-
2021-11-28,25,sku-9
|
| 2501 |
-
2021-12-05,48,sku-9
|
| 2502 |
-
2021-12-12,7,sku-9
|
| 2503 |
-
2021-12-19,0,sku-9
|
| 2504 |
-
2021-12-26,5,sku-9
|
| 2505 |
-
2022-01-02,10,sku-9
|
| 2506 |
-
2022-01-09,0,sku-9
|
| 2507 |
-
2022-01-16,7,sku-9
|
| 2508 |
-
2022-01-23,15,sku-9
|
| 2509 |
-
2022-01-30,0,sku-9
|
| 2510 |
-
2022-02-06,5,sku-9
|
| 2511 |
-
2022-02-13,30,sku-9
|
| 2512 |
-
2022-02-20,20,sku-9
|
| 2513 |
-
2022-02-27,0,sku-9
|
| 2514 |
-
2022-03-06,25,sku-9
|
| 2515 |
-
2022-03-13,15,sku-9
|
| 2516 |
-
2022-03-20,15,sku-9
|
| 2517 |
-
2022-03-27,15,sku-9
|
| 2518 |
-
2022-04-03,10,sku-9
|
| 2519 |
-
2022-04-10,30,sku-9
|
| 2520 |
-
2022-04-17,0,sku-9
|
| 2521 |
-
2022-04-24,0,sku-9
|
| 2522 |
-
2022-05-01,0,sku-9
|
| 2523 |
-
2022-05-08,0,sku-9
|
| 2524 |
-
2022-05-15,20,sku-9
|
| 2525 |
-
2022-05-22,0,sku-9
|
| 2526 |
-
2022-05-29,0,sku-9
|
| 2527 |
-
2022-06-05,10,sku-9
|
| 2528 |
-
2022-06-12,0,sku-9
|
| 2529 |
-
2022-06-19,0,sku-9
|
| 2530 |
-
2022-06-26,20,sku-9
|
| 2531 |
-
2022-07-03,30,sku-9
|
| 2532 |
-
2022-07-10,0,sku-9
|
| 2533 |
-
2022-07-17,0,sku-9
|
| 2534 |
-
2022-07-24,10,sku-9
|
| 2535 |
-
2022-07-31,0,sku-9
|
| 2536 |
-
2022-08-07,30,sku-9
|
| 2537 |
-
2022-08-14,6,sku-9
|
| 2538 |
-
2022-08-21,6,sku-9
|
| 2539 |
-
2022-08-28,10,sku-9
|
| 2540 |
-
2022-09-04,27,sku-9
|
| 2541 |
-
2022-09-11,0,sku-9
|
| 2542 |
-
2022-09-18,10,sku-9
|
| 2543 |
-
2022-09-25,10,sku-9
|
| 2544 |
-
2022-10-02,10,sku-9
|
| 2545 |
-
2022-10-09,0,sku-9
|
| 2546 |
-
2022-10-16,0,sku-9
|
| 2547 |
-
2022-10-23,10,sku-9
|
| 2548 |
-
2022-10-30,20,sku-9
|
| 2549 |
-
2022-11-06,0,sku-9
|
| 2550 |
-
2022-11-13,0,sku-9
|
| 2551 |
-
2022-11-20,50,sku-9
|
| 2552 |
-
2022-11-27,0,sku-9
|
| 2553 |
-
2022-12-04,20,sku-9
|
| 2554 |
-
2022-12-11,20,sku-9
|
| 2555 |
-
2022-12-18,30,sku-9
|
| 2556 |
-
2022-12-25,20,sku-9
|
| 2557 |
-
2023-01-01,15,sku-9
|
| 2558 |
-
2023-01-08,0,sku-9
|
| 2559 |
-
2023-01-15,5,sku-9
|
| 2560 |
-
2023-01-22,0,sku-9
|
| 2561 |
-
2023-01-29,20,sku-9
|
| 2562 |
-
2023-02-05,25,sku-9
|
| 2563 |
-
2023-02-12,10,sku-9
|
| 2564 |
-
2023-02-19,30,sku-9
|
| 2565 |
-
2023-02-26,25,sku-9
|
| 2566 |
-
2023-03-05,13,sku-9
|
| 2567 |
-
2023-03-12,15,sku-9
|
| 2568 |
-
2023-03-19,5,sku-9
|
| 2569 |
-
2023-03-26,0,sku-9
|
| 2570 |
-
2023-04-02,30,sku-9
|
| 2571 |
-
2023-04-09,2,sku-9
|
| 2572 |
-
2023-04-16,30,sku-9
|
| 2573 |
-
2023-04-23,10,sku-9
|
|
|
|
| 1016 |
2023-04-02,0,sku-3
|
| 1017 |
2023-04-09,0,sku-3
|
| 1018 |
2023-04-16,10,sku-3
|
| 1019 |
+
2023-04-23,12,sku-3
|
|
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data/demand_forecasting_demo_data_10.csv
ADDED
|
@@ -0,0 +1,2573 @@
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| 1 |
+
datetime,y,sku
|
| 2 |
+
2018-05-06,2,sku-0
|
| 3 |
+
2018-05-13,1,sku-0
|
| 4 |
+
2018-05-20,7,sku-0
|
| 5 |
+
2018-05-27,9,sku-0
|
| 6 |
+
2018-06-03,2,sku-0
|
| 7 |
+
2018-06-10,3,sku-0
|
| 8 |
+
2018-06-17,9,sku-0
|
| 9 |
+
2018-06-24,9,sku-0
|
| 10 |
+
2018-07-01,9,sku-0
|
| 11 |
+
2018-07-08,9,sku-0
|
| 12 |
+
2018-07-15,9,sku-0
|
| 13 |
+
2018-07-22,9,sku-0
|
| 14 |
+
2018-07-29,9,sku-0
|
| 15 |
+
2018-08-05,9,sku-0
|
| 16 |
+
2018-08-12,9,sku-0
|
| 17 |
+
2018-08-19,9,sku-0
|
| 18 |
+
2018-08-26,9,sku-0
|
| 19 |
+
2018-09-02,9,sku-0
|
| 20 |
+
2018-09-09,9,sku-0
|
| 21 |
+
2018-09-16,6,sku-0
|
| 22 |
+
2018-09-23,6,sku-0
|
| 23 |
+
2018-09-30,2,sku-0
|
| 24 |
+
2018-10-07,9,sku-0
|
| 25 |
+
2018-10-14,9,sku-0
|
| 26 |
+
2018-10-21,2,sku-0
|
| 27 |
+
2018-10-28,10,sku-0
|
| 28 |
+
2018-11-04,3,sku-0
|
| 29 |
+
2018-11-11,9,sku-0
|
| 30 |
+
2018-11-18,16,sku-0
|
| 31 |
+
2018-11-25,1,sku-0
|
| 32 |
+
2018-12-02,10,sku-0
|
| 33 |
+
2018-12-09,9,sku-0
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| 1602 |
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2019-07-14,0,sku-6
|
| 1603 |
+
2019-07-21,0,sku-6
|
| 1604 |
+
2019-07-28,0,sku-6
|
| 1605 |
+
2019-08-04,0,sku-6
|
| 1606 |
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2019-08-11,5,sku-6
|
| 1607 |
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2019-08-18,9,sku-6
|
| 1608 |
+
2019-08-25,10,sku-6
|
| 1609 |
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2019-09-01,0,sku-6
|
| 1610 |
+
2019-09-08,2,sku-6
|
| 1611 |
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2019-09-15,30,sku-6
|
| 1612 |
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2019-09-22,2,sku-6
|
| 1613 |
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2019-09-29,0,sku-6
|
| 1614 |
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2019-10-06,20,sku-6
|
| 1615 |
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2019-10-13,25,sku-6
|
| 1616 |
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2019-10-20,17,sku-6
|
| 1617 |
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2019-10-27,0,sku-6
|
| 1618 |
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2019-11-03,5,sku-6
|
| 1619 |
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2019-11-10,7,sku-6
|
| 1620 |
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2019-11-17,6,sku-6
|
| 1621 |
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2019-11-24,30,sku-6
|
| 1622 |
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2019-12-01,24,sku-6
|
| 1623 |
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2019-12-08,8,sku-6
|
| 1624 |
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2019-12-15,0,sku-6
|
| 1625 |
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2019-12-22,0,sku-6
|
| 1626 |
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2019-12-29,30,sku-6
|
| 1627 |
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2020-01-05,0,sku-6
|
| 1628 |
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2020-01-12,10,sku-6
|
| 1629 |
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2020-01-19,2,sku-6
|
| 1630 |
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2020-01-26,5,sku-6
|
| 1631 |
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2020-02-02,29,sku-6
|
| 1632 |
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2020-02-09,0,sku-6
|
| 1633 |
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2020-02-16,7,sku-6
|
| 1634 |
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2020-02-23,25,sku-6
|
| 1635 |
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2020-03-01,0,sku-6
|
| 1636 |
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2020-03-08,0,sku-6
|
| 1637 |
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2020-03-15,0,sku-6
|
| 1638 |
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2020-03-22,18,sku-6
|
| 1639 |
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2020-03-29,13,sku-6
|
| 1640 |
+
2020-04-05,58,sku-6
|
| 1641 |
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2020-04-12,0,sku-6
|
| 1642 |
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2020-04-19,0,sku-6
|
| 1643 |
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2020-04-26,8,sku-6
|
| 1644 |
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2020-05-03,1,sku-6
|
| 1645 |
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2020-05-10,0,sku-6
|
| 1646 |
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2020-05-17,16,sku-6
|
| 1647 |
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2020-05-24,0,sku-6
|
| 1648 |
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2020-05-31,0,sku-6
|
| 1649 |
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2020-06-07,31,sku-6
|
| 1650 |
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2020-06-14,15,sku-6
|
| 1651 |
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2020-06-21,6,sku-6
|
| 1652 |
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2020-06-28,11,sku-6
|
| 1653 |
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2020-07-05,4,sku-6
|
| 1654 |
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2020-07-12,49,sku-6
|
| 1655 |
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2020-07-19,12,sku-6
|
| 1656 |
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2020-07-26,59,sku-6
|
| 1657 |
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2020-08-02,0,sku-6
|
| 1658 |
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2020-08-09,0,sku-6
|
| 1659 |
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2020-08-16,0,sku-6
|
| 1660 |
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2020-08-23,149,sku-6
|
| 1661 |
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2020-08-30,2,sku-6
|
| 1662 |
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2020-09-06,4,sku-6
|
| 1663 |
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2020-09-13,0,sku-6
|
| 1664 |
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2020-09-20,115,sku-6
|
| 1665 |
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2020-09-27,28,sku-6
|
| 1666 |
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2020-10-04,0,sku-6
|
| 1667 |
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2020-10-11,25,sku-6
|
| 1668 |
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2020-10-18,17,sku-6
|
| 1669 |
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2020-10-25,0,sku-6
|
| 1670 |
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2020-11-01,9,sku-6
|
| 1671 |
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2020-11-08,0,sku-6
|
| 1672 |
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2020-11-15,13,sku-6
|
| 1673 |
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2020-11-22,77,sku-6
|
| 1674 |
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2020-11-29,22,sku-6
|
| 1675 |
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2020-12-06,20,sku-6
|
| 1676 |
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2020-12-13,16,sku-6
|
| 1677 |
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2020-12-20,20,sku-6
|
| 1678 |
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2020-12-27,15,sku-6
|
| 1679 |
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2021-01-03,0,sku-6
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| 1680 |
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2021-01-10,1,sku-6
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| 1681 |
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2021-01-17,29,sku-6
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| 1682 |
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2021-01-24,8,sku-6
|
| 1683 |
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2021-01-31,33,sku-6
|
| 1684 |
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2021-02-07,0,sku-6
|
| 1685 |
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2021-02-14,75,sku-6
|
| 1686 |
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2021-02-21,0,sku-6
|
| 1687 |
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2021-02-28,17,sku-6
|
| 1688 |
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2021-03-07,0,sku-6
|
| 1689 |
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2021-03-14,0,sku-6
|
| 1690 |
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2021-03-21,40,sku-6
|
| 1691 |
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2021-03-28,24,sku-6
|
| 1692 |
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2021-04-04,20,sku-6
|
| 1693 |
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2021-04-11,35,sku-6
|
| 1694 |
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2021-04-18,50,sku-6
|
| 1695 |
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2021-04-25,25,sku-6
|
| 1696 |
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2021-05-02,15,sku-6
|
| 1697 |
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2021-05-09,0,sku-6
|
| 1698 |
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2021-05-16,0,sku-6
|
| 1699 |
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2021-05-23,0,sku-6
|
| 1700 |
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2021-05-30,0,sku-6
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| 1701 |
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2021-06-06,5,sku-6
|
| 1702 |
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2021-06-13,30,sku-6
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| 1703 |
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2021-06-20,5,sku-6
|
| 1704 |
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2021-06-27,65,sku-6
|
| 1705 |
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2021-07-04,0,sku-6
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| 1706 |
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2021-07-11,90,sku-6
|
| 1707 |
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2021-07-18,2,sku-6
|
| 1708 |
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2021-07-25,0,sku-6
|
| 1709 |
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2021-08-01,0,sku-6
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| 1710 |
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2021-08-08,0,sku-6
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| 1711 |
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2021-08-15,0,sku-6
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| 1712 |
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2021-08-22,50,sku-6
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| 1713 |
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2021-08-29,0,sku-6
|
| 1714 |
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2021-09-05,5,sku-6
|
| 1715 |
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2021-09-12,50,sku-6
|
| 1716 |
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2021-09-19,20,sku-6
|
| 1717 |
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2021-09-26,43,sku-6
|
| 1718 |
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2021-10-03,0,sku-6
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| 1719 |
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2021-10-10,63,sku-6
|
| 1720 |
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2021-10-17,20,sku-6
|
| 1721 |
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2021-10-24,20,sku-6
|
| 1722 |
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2021-10-31,35,sku-6
|
| 1723 |
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2021-11-07,15,sku-6
|
| 1724 |
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2021-11-14,12,sku-6
|
| 1725 |
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2021-11-21,122,sku-6
|
| 1726 |
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2021-11-28,0,sku-6
|
| 1727 |
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2021-12-05,56,sku-6
|
| 1728 |
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2021-12-12,0,sku-6
|
| 1729 |
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2021-12-19,12,sku-6
|
| 1730 |
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2021-12-26,0,sku-6
|
| 1731 |
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2022-01-02,5,sku-6
|
| 1732 |
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2022-01-09,0,sku-6
|
| 1733 |
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2022-01-16,15,sku-6
|
| 1734 |
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2022-01-23,15,sku-6
|
| 1735 |
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2022-01-30,0,sku-6
|
| 1736 |
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2022-02-06,10,sku-6
|
| 1737 |
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2022-02-13,60,sku-6
|
| 1738 |
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2022-02-20,170,sku-6
|
| 1739 |
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2022-02-27,50,sku-6
|
| 1740 |
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2022-03-06,0,sku-6
|
| 1741 |
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2022-03-13,0,sku-6
|
| 1742 |
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2022-03-20,0,sku-6
|
| 1743 |
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2022-03-27,0,sku-6
|
| 1744 |
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2022-04-03,0,sku-6
|
| 1745 |
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2022-04-10,0,sku-6
|
| 1746 |
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2022-04-17,0,sku-6
|
| 1747 |
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2022-04-24,4,sku-6
|
| 1748 |
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2022-05-01,11,sku-6
|
| 1749 |
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2022-05-08,0,sku-6
|
| 1750 |
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2022-05-15,0,sku-6
|
| 1751 |
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2022-05-22,0,sku-6
|
| 1752 |
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2022-05-29,0,sku-6
|
| 1753 |
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2022-06-05,0,sku-6
|
| 1754 |
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2022-06-12,0,sku-6
|
| 1755 |
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2022-06-19,0,sku-6
|
| 1756 |
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2022-06-26,0,sku-6
|
| 1757 |
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2022-07-03,0,sku-6
|
| 1758 |
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2022-07-10,0,sku-6
|
| 1759 |
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2022-07-17,40,sku-6
|
| 1760 |
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2022-07-24,50,sku-6
|
| 1761 |
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2022-07-31,50,sku-6
|
| 1762 |
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2022-08-07,0,sku-6
|
| 1763 |
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2022-08-14,100,sku-6
|
| 1764 |
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2022-08-21,0,sku-6
|
| 1765 |
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2022-08-28,45,sku-6
|
| 1766 |
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2022-09-04,50,sku-6
|
| 1767 |
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2022-09-11,100,sku-6
|
| 1768 |
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2022-09-18,50,sku-6
|
| 1769 |
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2022-09-25,50,sku-6
|
| 1770 |
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2022-10-02,20,sku-6
|
| 1771 |
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2022-10-09,0,sku-6
|
| 1772 |
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2022-10-16,0,sku-6
|
| 1773 |
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2022-10-23,0,sku-6
|
| 1774 |
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2022-10-30,0,sku-6
|
| 1775 |
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2022-11-06,0,sku-6
|
| 1776 |
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2022-11-13,0,sku-6
|
| 1777 |
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2022-11-20,0,sku-6
|
| 1778 |
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2022-11-27,0,sku-6
|
| 1779 |
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2022-12-04,0,sku-6
|
| 1780 |
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2022-12-11,20,sku-6
|
| 1781 |
+
2022-12-18,0,sku-6
|
| 1782 |
+
2022-12-25,60,sku-6
|
| 1783 |
+
2023-01-01,20,sku-6
|
| 1784 |
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2023-01-08,10,sku-6
|
| 1785 |
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2023-01-15,20,sku-6
|
| 1786 |
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2023-01-22,0,sku-6
|
| 1787 |
+
2023-01-29,10,sku-6
|
| 1788 |
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2023-02-05,0,sku-6
|
| 1789 |
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2023-02-12,0,sku-6
|
| 1790 |
+
2023-02-19,0,sku-6
|
| 1791 |
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2023-02-26,0,sku-6
|
| 1792 |
+
2023-03-05,20,sku-6
|
| 1793 |
+
2023-03-12,50,sku-6
|
| 1794 |
+
2023-03-19,0,sku-6
|
| 1795 |
+
2023-03-26,0,sku-6
|
| 1796 |
+
2023-04-02,10,sku-6
|
| 1797 |
+
2023-04-09,85,sku-6
|
| 1798 |
+
2023-04-16,50,sku-6
|
| 1799 |
+
2018-05-06,5,sku-7
|
| 1800 |
+
2018-05-13,9,sku-7
|
| 1801 |
+
2018-05-20,5,sku-7
|
| 1802 |
+
2018-05-27,30,sku-7
|
| 1803 |
+
2018-06-03,5,sku-7
|
| 1804 |
+
2018-06-10,12,sku-7
|
| 1805 |
+
2018-06-17,12,sku-7
|
| 1806 |
+
2018-06-24,7,sku-7
|
| 1807 |
+
2018-07-01,30,sku-7
|
| 1808 |
+
2018-07-08,12,sku-7
|
| 1809 |
+
2018-07-15,34,sku-7
|
| 1810 |
+
2018-07-22,15,sku-7
|
| 1811 |
+
2018-07-29,25,sku-7
|
| 1812 |
+
2018-08-05,5,sku-7
|
| 1813 |
+
2018-08-12,10,sku-7
|
| 1814 |
+
2018-08-19,12,sku-7
|
| 1815 |
+
2018-08-26,44,sku-7
|
| 1816 |
+
2018-09-02,45,sku-7
|
| 1817 |
+
2018-09-09,13,sku-7
|
| 1818 |
+
2018-09-16,3,sku-7
|
| 1819 |
+
2018-09-23,43,sku-7
|
| 1820 |
+
2018-09-30,13,sku-7
|
| 1821 |
+
2018-10-07,5,sku-7
|
| 1822 |
+
2018-10-14,31,sku-7
|
| 1823 |
+
2018-10-21,10,sku-7
|
| 1824 |
+
2018-10-28,45,sku-7
|
| 1825 |
+
2018-11-04,12,sku-7
|
| 1826 |
+
2018-11-11,12,sku-7
|
| 1827 |
+
2018-11-18,84,sku-7
|
| 1828 |
+
2018-11-25,12,sku-7
|
| 1829 |
+
2018-12-02,9,sku-7
|
| 1830 |
+
2018-12-09,31,sku-7
|
| 1831 |
+
2018-12-16,43,sku-7
|
| 1832 |
+
2018-12-23,1,sku-7
|
| 1833 |
+
2018-12-30,12,sku-7
|
| 1834 |
+
2019-01-06,12,sku-7
|
| 1835 |
+
2019-01-13,12,sku-7
|
| 1836 |
+
2019-01-20,12,sku-7
|
| 1837 |
+
2019-01-27,1,sku-7
|
| 1838 |
+
2019-02-03,12,sku-7
|
| 1839 |
+
2019-02-10,12,sku-7
|
| 1840 |
+
2019-02-17,12,sku-7
|
| 1841 |
+
2019-02-24,39,sku-7
|
| 1842 |
+
2019-03-03,25,sku-7
|
| 1843 |
+
2019-03-10,5,sku-7
|
| 1844 |
+
2019-03-17,11,sku-7
|
| 1845 |
+
2019-03-24,12,sku-7
|
| 1846 |
+
2019-03-31,85,sku-7
|
| 1847 |
+
2019-04-07,12,sku-7
|
| 1848 |
+
2019-04-14,12,sku-7
|
| 1849 |
+
2019-04-21,12,sku-7
|
| 1850 |
+
2019-04-28,12,sku-7
|
| 1851 |
+
2019-05-05,12,sku-7
|
| 1852 |
+
2019-05-12,12,sku-7
|
| 1853 |
+
2019-05-19,12,sku-7
|
| 1854 |
+
2019-05-26,3,sku-7
|
| 1855 |
+
2019-06-02,5,sku-7
|
| 1856 |
+
2019-06-09,12,sku-7
|
| 1857 |
+
2019-06-16,5,sku-7
|
| 1858 |
+
2019-06-23,18,sku-7
|
| 1859 |
+
2019-06-30,7,sku-7
|
| 1860 |
+
2019-07-07,10,sku-7
|
| 1861 |
+
2019-07-14,12,sku-7
|
| 1862 |
+
2019-07-21,8,sku-7
|
| 1863 |
+
2019-07-28,12,sku-7
|
| 1864 |
+
2019-08-04,32,sku-7
|
| 1865 |
+
2019-08-11,12,sku-7
|
| 1866 |
+
2019-08-18,34,sku-7
|
| 1867 |
+
2019-08-25,12,sku-7
|
| 1868 |
+
2019-09-01,12,sku-7
|
| 1869 |
+
2019-09-08,5,sku-7
|
| 1870 |
+
2019-09-15,6,sku-7
|
| 1871 |
+
2019-09-22,8,sku-7
|
| 1872 |
+
2019-09-29,12,sku-7
|
| 1873 |
+
2019-10-06,35,sku-7
|
| 1874 |
+
2019-10-13,12,sku-7
|
| 1875 |
+
2019-10-20,12,sku-7
|
| 1876 |
+
2019-10-27,12,sku-7
|
| 1877 |
+
2019-11-03,21,sku-7
|
| 1878 |
+
2019-11-10,7,sku-7
|
| 1879 |
+
2019-11-17,10,sku-7
|
| 1880 |
+
2019-11-24,16,sku-7
|
| 1881 |
+
2019-12-01,11,sku-7
|
| 1882 |
+
2019-12-08,9,sku-7
|
| 1883 |
+
2019-12-15,12,sku-7
|
| 1884 |
+
2019-12-22,12,sku-7
|
| 1885 |
+
2019-12-29,32,sku-7
|
| 1886 |
+
2020-01-05,12,sku-7
|
| 1887 |
+
2020-01-12,4,sku-7
|
| 1888 |
+
2020-01-19,15,sku-7
|
| 1889 |
+
2020-01-26,9,sku-7
|
| 1890 |
+
2020-02-02,10,sku-7
|
| 1891 |
+
2020-02-09,20,sku-7
|
| 1892 |
+
2020-02-16,13,sku-7
|
| 1893 |
+
2020-02-23,13,sku-7
|
| 1894 |
+
2020-03-01,10,sku-7
|
| 1895 |
+
2020-03-08,21,sku-7
|
| 1896 |
+
2020-03-15,17,sku-7
|
| 1897 |
+
2020-03-22,20,sku-7
|
| 1898 |
+
2020-03-29,9,sku-7
|
| 1899 |
+
2020-04-05,15,sku-7
|
| 1900 |
+
2020-04-12,12,sku-7
|
| 1901 |
+
2020-04-19,12,sku-7
|
| 1902 |
+
2020-04-26,4,sku-7
|
| 1903 |
+
2020-05-03,12,sku-7
|
| 1904 |
+
2020-05-10,12,sku-7
|
| 1905 |
+
2020-05-17,22,sku-7
|
| 1906 |
+
2020-05-24,12,sku-7
|
| 1907 |
+
2020-05-31,12,sku-7
|
| 1908 |
+
2020-06-07,12,sku-7
|
| 1909 |
+
2020-06-14,5,sku-7
|
| 1910 |
+
2020-06-21,11,sku-7
|
| 1911 |
+
2020-06-28,12,sku-7
|
| 1912 |
+
2020-07-05,5,sku-7
|
| 1913 |
+
2020-07-12,10,sku-7
|
| 1914 |
+
2020-07-19,12,sku-7
|
| 1915 |
+
2020-07-26,42,sku-7
|
| 1916 |
+
2020-08-02,12,sku-7
|
| 1917 |
+
2020-08-09,12,sku-7
|
| 1918 |
+
2020-08-16,12,sku-7
|
| 1919 |
+
2020-08-23,140,sku-7
|
| 1920 |
+
2020-08-30,55,sku-7
|
| 1921 |
+
2020-09-06,12,sku-7
|
| 1922 |
+
2020-09-13,12,sku-7
|
| 1923 |
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2020-09-20,12,sku-7
|
| 1924 |
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2020-09-27,12,sku-7
|
| 1925 |
+
2020-10-04,12,sku-7
|
| 1926 |
+
2020-10-11,12,sku-7
|
| 1927 |
+
2020-10-18,12,sku-7
|
| 1928 |
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2020-10-25,12,sku-7
|
| 1929 |
+
2020-11-01,12,sku-7
|
| 1930 |
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2020-11-08,12,sku-7
|
| 1931 |
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2020-11-15,12,sku-7
|
| 1932 |
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2020-11-22,12,sku-7
|
| 1933 |
+
2020-11-29,12,sku-7
|
| 1934 |
+
2020-12-06,9,sku-7
|
| 1935 |
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2020-12-13,5,sku-7
|
| 1936 |
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2020-12-20,12,sku-7
|
| 1937 |
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2020-12-27,10,sku-7
|
| 1938 |
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2021-01-03,12,sku-7
|
| 1939 |
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2021-01-10,12,sku-7
|
| 1940 |
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2021-01-17,12,sku-7
|
| 1941 |
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2021-01-24,6,sku-7
|
| 1942 |
+
2021-01-31,24,sku-7
|
| 1943 |
+
2021-02-07,10,sku-7
|
| 1944 |
+
2021-02-14,82,sku-7
|
| 1945 |
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2021-02-21,12,sku-7
|
| 1946 |
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2021-02-28,12,sku-7
|
| 1947 |
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2021-03-07,12,sku-7
|
| 1948 |
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2021-03-14,12,sku-7
|
| 1949 |
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2021-03-21,35,sku-7
|
| 1950 |
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2021-03-28,12,sku-7
|
| 1951 |
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2021-04-04,12,sku-7
|
| 1952 |
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2021-04-11,12,sku-7
|
| 1953 |
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2021-04-18,12,sku-7
|
| 1954 |
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2021-04-25,18,sku-7
|
| 1955 |
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2021-05-02,10,sku-7
|
| 1956 |
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2021-05-09,12,sku-7
|
| 1957 |
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2021-05-16,12,sku-7
|
| 1958 |
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2021-05-23,3,sku-7
|
| 1959 |
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2021-05-30,3,sku-7
|
| 1960 |
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2021-06-06,5,sku-7
|
| 1961 |
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2021-06-13,1,sku-7
|
| 1962 |
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2021-06-20,2,sku-7
|
| 1963 |
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2021-06-27,15,sku-7
|
| 1964 |
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2021-07-04,15,sku-7
|
| 1965 |
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2021-07-11,2,sku-7
|
| 1966 |
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2021-07-18,2,sku-7
|
| 1967 |
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2021-07-25,2,sku-7
|
| 1968 |
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2021-08-01,10,sku-7
|
| 1969 |
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2021-08-08,20,sku-7
|
| 1970 |
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2021-08-15,25,sku-7
|
| 1971 |
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2021-08-22,12,sku-7
|
| 1972 |
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2021-08-29,12,sku-7
|
| 1973 |
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2021-09-05,12,sku-7
|
| 1974 |
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2021-09-12,12,sku-7
|
| 1975 |
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2021-09-19,12,sku-7
|
| 1976 |
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2021-09-26,5,sku-7
|
| 1977 |
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2021-10-03,12,sku-7
|
| 1978 |
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2021-10-10,7,sku-7
|
| 1979 |
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2021-10-17,25,sku-7
|
| 1980 |
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2021-10-24,10,sku-7
|
| 1981 |
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2021-10-31,5,sku-7
|
| 1982 |
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2021-11-07,15,sku-7
|
| 1983 |
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2021-11-14,8,sku-7
|
| 1984 |
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2021-11-21,14,sku-7
|
| 1985 |
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2021-11-28,18,sku-7
|
| 1986 |
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2021-12-05,65,sku-7
|
| 1987 |
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2021-12-12,12,sku-7
|
| 1988 |
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2021-12-19,12,sku-7
|
| 1989 |
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2021-12-26,12,sku-7
|
| 1990 |
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2022-01-02,10,sku-7
|
| 1991 |
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2022-01-09,15,sku-7
|
| 1992 |
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2022-01-16,1,sku-7
|
| 1993 |
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2022-01-23,60,sku-7
|
| 1994 |
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2022-01-30,12,sku-7
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| 1995 |
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2022-02-06,30,sku-7
|
| 1996 |
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2022-02-13,20,sku-7
|
| 1997 |
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2022-02-20,10,sku-7
|
| 1998 |
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2022-02-27,12,sku-7
|
| 1999 |
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2022-03-06,12,sku-7
|
| 2000 |
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2022-03-13,12,sku-7
|
| 2001 |
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2022-03-20,12,sku-7
|
| 2002 |
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2022-03-27,20,sku-7
|
| 2003 |
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2022-04-03,12,sku-7
|
| 2004 |
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2022-04-10,25,sku-7
|
| 2005 |
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2022-04-17,15,sku-7
|
| 2006 |
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2022-04-24,15,sku-7
|
| 2007 |
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2022-05-01,10,sku-7
|
| 2008 |
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2022-05-08,12,sku-7
|
| 2009 |
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2022-05-15,13,sku-7
|
| 2010 |
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2022-05-22,7,sku-7
|
| 2011 |
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2022-05-29,26,sku-7
|
| 2012 |
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2022-06-05,18,sku-7
|
| 2013 |
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2022-06-12,12,sku-7
|
| 2014 |
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2022-06-19,12,sku-7
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| 2015 |
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2022-06-26,12,sku-7
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| 2016 |
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2022-07-03,35,sku-7
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| 2017 |
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2022-07-10,20,sku-7
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| 2018 |
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2022-07-17,30,sku-7
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| 2019 |
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2022-07-24,8,sku-7
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| 2020 |
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2022-07-31,12,sku-7
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2022-08-07,50,sku-7
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| 2022 |
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2022-08-14,33,sku-7
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| 2023 |
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2022-08-21,12,sku-7
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| 2024 |
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2022-08-28,12,sku-7
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| 2025 |
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2022-09-04,10,sku-7
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| 2026 |
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2022-09-11,10,sku-7
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| 2027 |
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2022-09-18,12,sku-7
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| 2028 |
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2022-09-25,20,sku-7
|
| 2029 |
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2022-10-02,20,sku-7
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| 2030 |
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2022-10-09,12,sku-7
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2022-10-16,50,sku-7
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2022-10-23,12,sku-7
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2022-10-30,12,sku-7
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2022-11-06,12,sku-7
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2022-11-13,12,sku-7
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2022-11-20,12,sku-7
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2022-11-27,20,sku-7
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| 2038 |
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2022-12-04,50,sku-7
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| 2039 |
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2022-12-11,60,sku-7
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2022-12-18,10,sku-7
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| 2041 |
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2022-12-25,40,sku-7
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| 2042 |
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2023-01-01,10,sku-7
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| 2043 |
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2023-01-08,30,sku-7
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| 2044 |
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2023-01-15,12,sku-7
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2023-01-22,60,sku-7
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2023-01-29,45,sku-7
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| 2047 |
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2023-02-05,5,sku-7
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2023-02-12,10,sku-7
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| 2049 |
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2023-02-19,7,sku-7
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2023-02-26,40,sku-7
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2023-03-05,20,sku-7
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2023-03-12,25,sku-7
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2023-03-19,12,sku-7
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| 2054 |
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2023-03-26,12,sku-7
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2023-04-02,35,sku-7
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2023-04-09,12,sku-7
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| 2057 |
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2023-04-16,12,sku-7
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| 2058 |
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2023-04-23,20,sku-7
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2018-05-20,1,sku-8
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2018-05-27,16,sku-8
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2018-06-03,8,sku-8
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| 2062 |
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2018-06-10,0,sku-8
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| 2063 |
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2018-06-17,0,sku-8
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| 2064 |
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2018-06-24,7,sku-8
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| 2065 |
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2018-07-01,0,sku-8
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| 2066 |
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2018-07-08,0,sku-8
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| 2067 |
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2018-07-15,1,sku-8
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| 2068 |
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2018-07-22,2,sku-8
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| 2069 |
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2018-07-29,0,sku-8
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| 2070 |
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2018-08-05,0,sku-8
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| 2071 |
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2018-08-12,0,sku-8
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| 2072 |
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2018-08-19,0,sku-8
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2018-08-26,0,sku-8
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| 2074 |
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2018-09-02,10,sku-8
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| 2075 |
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2018-09-09,0,sku-8
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| 2076 |
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2018-09-16,6,sku-8
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| 2077 |
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2018-09-23,6,sku-8
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| 2078 |
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2018-09-30,2,sku-8
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| 2079 |
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2018-10-07,7,sku-8
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| 2080 |
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2018-10-14,0,sku-8
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| 2081 |
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2018-10-21,2,sku-8
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| 2082 |
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2018-10-28,1,sku-8
|
| 2083 |
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2018-11-04,1,sku-8
|
| 2084 |
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2018-11-11,0,sku-8
|
| 2085 |
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2018-11-18,6,sku-8
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| 2086 |
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2018-11-25,0,sku-8
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| 2087 |
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2018-12-02,0,sku-8
|
| 2088 |
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2018-12-09,3,sku-8
|
| 2089 |
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2018-12-16,2,sku-8
|
| 2090 |
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2018-12-23,0,sku-8
|
| 2091 |
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2018-12-30,5,sku-8
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| 2092 |
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2019-01-06,0,sku-8
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| 2093 |
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2019-01-13,18,sku-8
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| 2094 |
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2019-01-20,5,sku-8
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| 2095 |
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2019-01-27,0,sku-8
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| 2096 |
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2019-02-03,12,sku-8
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| 2097 |
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2019-02-10,2,sku-8
|
| 2098 |
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2019-02-17,0,sku-8
|
| 2099 |
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2019-02-24,12,sku-8
|
| 2100 |
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2019-03-03,6,sku-8
|
| 2101 |
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2019-03-10,7,sku-8
|
| 2102 |
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2019-03-17,0,sku-8
|
| 2103 |
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2019-03-24,12,sku-8
|
| 2104 |
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2019-03-31,9,sku-8
|
| 2105 |
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2019-04-07,11,sku-8
|
| 2106 |
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2019-04-14,3,sku-8
|
| 2107 |
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2019-04-21,0,sku-8
|
| 2108 |
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2019-04-28,3,sku-8
|
| 2109 |
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2019-05-05,15,sku-8
|
| 2110 |
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2019-05-12,14,sku-8
|
| 2111 |
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2019-05-19,4,sku-8
|
| 2112 |
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2019-05-26,4,sku-8
|
| 2113 |
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2019-06-02,2,sku-8
|
| 2114 |
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2019-06-09,0,sku-8
|
| 2115 |
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2019-06-16,0,sku-8
|
| 2116 |
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2019-06-23,5,sku-8
|
| 2117 |
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2019-06-30,6,sku-8
|
| 2118 |
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2019-07-07,0,sku-8
|
| 2119 |
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2019-07-14,0,sku-8
|
| 2120 |
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2019-07-21,22,sku-8
|
| 2121 |
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2019-07-28,0,sku-8
|
| 2122 |
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2019-08-04,19,sku-8
|
| 2123 |
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2019-08-11,3,sku-8
|
| 2124 |
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2019-08-18,7,sku-8
|
| 2125 |
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2019-08-25,0,sku-8
|
| 2126 |
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2019-09-01,0,sku-8
|
| 2127 |
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2019-09-08,11,sku-8
|
| 2128 |
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2019-09-15,7,sku-8
|
| 2129 |
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2019-09-22,0,sku-8
|
| 2130 |
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2019-09-29,0,sku-8
|
| 2131 |
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2019-10-06,18,sku-8
|
| 2132 |
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2019-10-13,1,sku-8
|
| 2133 |
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2019-10-20,14,sku-8
|
| 2134 |
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2019-10-27,0,sku-8
|
| 2135 |
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2019-11-03,9,sku-8
|
| 2136 |
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2019-11-10,3,sku-8
|
| 2137 |
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2019-11-17,0,sku-8
|
| 2138 |
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2019-11-24,7,sku-8
|
| 2139 |
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2019-12-01,9,sku-8
|
| 2140 |
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2019-12-08,1,sku-8
|
| 2141 |
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2019-12-15,0,sku-8
|
| 2142 |
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2019-12-22,0,sku-8
|
| 2143 |
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2019-12-29,0,sku-8
|
| 2144 |
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2020-01-05,0,sku-8
|
| 2145 |
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2020-01-12,4,sku-8
|
| 2146 |
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2020-01-19,11,sku-8
|
| 2147 |
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2020-01-26,19,sku-8
|
| 2148 |
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2020-02-02,8,sku-8
|
| 2149 |
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2020-02-09,2,sku-8
|
| 2150 |
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2020-02-16,13,sku-8
|
| 2151 |
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2020-02-23,2,sku-8
|
| 2152 |
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2020-03-01,16,sku-8
|
| 2153 |
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2020-03-08,5,sku-8
|
| 2154 |
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2020-03-15,5,sku-8
|
| 2155 |
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2020-03-22,9,sku-8
|
| 2156 |
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2020-03-29,21,sku-8
|
| 2157 |
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2020-04-05,7,sku-8
|
| 2158 |
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2020-04-12,0,sku-8
|
| 2159 |
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2020-04-19,0,sku-8
|
| 2160 |
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2020-04-26,17,sku-8
|
| 2161 |
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2020-05-03,4,sku-8
|
| 2162 |
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2020-05-10,2,sku-8
|
| 2163 |
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2020-05-17,19,sku-8
|
| 2164 |
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2020-05-24,0,sku-8
|
| 2165 |
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2020-05-31,0,sku-8
|
| 2166 |
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2020-06-07,18,sku-8
|
| 2167 |
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2020-06-14,0,sku-8
|
| 2168 |
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2020-06-21,15,sku-8
|
| 2169 |
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2020-06-28,2,sku-8
|
| 2170 |
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2020-07-05,2,sku-8
|
| 2171 |
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2020-07-12,0,sku-8
|
| 2172 |
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2020-07-19,9,sku-8
|
| 2173 |
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2020-07-26,29,sku-8
|
| 2174 |
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2020-08-02,0,sku-8
|
| 2175 |
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2020-08-09,0,sku-8
|
| 2176 |
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2020-08-16,0,sku-8
|
| 2177 |
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2020-08-23,33,sku-8
|
| 2178 |
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2020-08-30,0,sku-8
|
| 2179 |
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2020-09-06,6,sku-8
|
| 2180 |
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2020-09-13,25,sku-8
|
| 2181 |
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2020-09-20,0,sku-8
|
| 2182 |
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2020-09-27,6,sku-8
|
| 2183 |
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2020-10-04,15,sku-8
|
| 2184 |
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2020-10-11,21,sku-8
|
| 2185 |
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2020-10-18,19,sku-8
|
| 2186 |
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2020-10-25,5,sku-8
|
| 2187 |
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2020-11-01,12,sku-8
|
| 2188 |
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2020-11-08,0,sku-8
|
| 2189 |
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2020-11-15,7,sku-8
|
| 2190 |
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2020-11-22,2,sku-8
|
| 2191 |
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2020-11-29,6,sku-8
|
| 2192 |
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2020-12-06,9,sku-8
|
| 2193 |
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2020-12-13,4,sku-8
|
| 2194 |
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2020-12-20,17,sku-8
|
| 2195 |
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2020-12-27,12,sku-8
|
| 2196 |
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2021-01-03,0,sku-8
|
| 2197 |
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2021-01-10,0,sku-8
|
| 2198 |
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2021-01-17,10,sku-8
|
| 2199 |
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2021-01-24,12,sku-8
|
| 2200 |
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2021-01-31,5,sku-8
|
| 2201 |
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2021-02-07,25,sku-8
|
| 2202 |
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2021-02-14,40,sku-8
|
| 2203 |
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2021-02-21,0,sku-8
|
| 2204 |
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2021-02-28,0,sku-8
|
| 2205 |
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2021-03-07,0,sku-8
|
| 2206 |
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2021-03-14,0,sku-8
|
| 2207 |
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2021-03-21,0,sku-8
|
| 2208 |
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2021-03-28,0,sku-8
|
| 2209 |
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2021-04-04,0,sku-8
|
| 2210 |
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2021-04-11,0,sku-8
|
| 2211 |
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2021-04-18,13,sku-8
|
| 2212 |
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2021-04-25,10,sku-8
|
| 2213 |
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2021-05-02,29,sku-8
|
| 2214 |
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2021-05-09,0,sku-8
|
| 2215 |
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2021-05-16,0,sku-8
|
| 2216 |
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2021-05-23,0,sku-8
|
| 2217 |
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2021-05-30,0,sku-8
|
| 2218 |
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2021-06-06,0,sku-8
|
| 2219 |
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2021-06-13,7,sku-8
|
| 2220 |
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2021-06-20,5,sku-8
|
| 2221 |
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2021-06-27,15,sku-8
|
| 2222 |
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2021-07-04,0,sku-8
|
| 2223 |
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2021-07-11,10,sku-8
|
| 2224 |
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2021-07-18,5,sku-8
|
| 2225 |
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2021-07-25,0,sku-8
|
| 2226 |
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2021-08-01,0,sku-8
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|
| 2535 |
+
2022-07-31,0,sku-9
|
| 2536 |
+
2022-08-07,30,sku-9
|
| 2537 |
+
2022-08-14,6,sku-9
|
| 2538 |
+
2022-08-21,6,sku-9
|
| 2539 |
+
2022-08-28,10,sku-9
|
| 2540 |
+
2022-09-04,27,sku-9
|
| 2541 |
+
2022-09-11,0,sku-9
|
| 2542 |
+
2022-09-18,10,sku-9
|
| 2543 |
+
2022-09-25,10,sku-9
|
| 2544 |
+
2022-10-02,10,sku-9
|
| 2545 |
+
2022-10-09,0,sku-9
|
| 2546 |
+
2022-10-16,0,sku-9
|
| 2547 |
+
2022-10-23,10,sku-9
|
| 2548 |
+
2022-10-30,20,sku-9
|
| 2549 |
+
2022-11-06,0,sku-9
|
| 2550 |
+
2022-11-13,0,sku-9
|
| 2551 |
+
2022-11-20,50,sku-9
|
| 2552 |
+
2022-11-27,0,sku-9
|
| 2553 |
+
2022-12-04,20,sku-9
|
| 2554 |
+
2022-12-11,20,sku-9
|
| 2555 |
+
2022-12-18,30,sku-9
|
| 2556 |
+
2022-12-25,20,sku-9
|
| 2557 |
+
2023-01-01,15,sku-9
|
| 2558 |
+
2023-01-08,0,sku-9
|
| 2559 |
+
2023-01-15,5,sku-9
|
| 2560 |
+
2023-01-22,0,sku-9
|
| 2561 |
+
2023-01-29,20,sku-9
|
| 2562 |
+
2023-02-05,25,sku-9
|
| 2563 |
+
2023-02-12,10,sku-9
|
| 2564 |
+
2023-02-19,30,sku-9
|
| 2565 |
+
2023-02-26,25,sku-9
|
| 2566 |
+
2023-03-05,13,sku-9
|
| 2567 |
+
2023-03-12,15,sku-9
|
| 2568 |
+
2023-03-19,5,sku-9
|
| 2569 |
+
2023-03-26,0,sku-9
|
| 2570 |
+
2023-04-02,30,sku-9
|
| 2571 |
+
2023-04-09,2,sku-9
|
| 2572 |
+
2023-04-16,30,sku-9
|
| 2573 |
+
2023-04-23,10,sku-9
|
data/demand_forecasting_demo_models.csv
CHANGED
|
@@ -1,11 +1,5 @@
|
|
| 1 |
-
sku,best_model,characteristic
|
| 2 |
-
sku-0,fft_plus,continuous
|
| 3 |
-
sku-1,holt_winters_plus,continuous
|
| 4 |
-
sku-2,prophet_plus,fuzzy
|
| 5 |
-
sku-3,prophet_plus,fuzzy_transient
|
| 6 |
-
sku-4,prophet_plus,fuzzy,10.7747925198657
|
| 7 |
-
sku-5,prophet_plus,fuzzy,28.33012802382216
|
| 8 |
-
sku-6,ceif_plus,fuzzy,37.84242038358283
|
| 9 |
-
sku-7,holt_winters_plus,continuous,15.959770854065722
|
| 10 |
-
sku-8,prophet_plus,fuzzy,13.778467035419936
|
| 11 |
-
sku-9,prophet_plus,fuzzy,12.843706019437128
|
|
|
|
| 1 |
+
sku,best_model,characteristic
|
| 2 |
+
sku-0,fft_plus,continuous
|
| 3 |
+
sku-1,holt_winters_plus,continuous
|
| 4 |
+
sku-2,prophet_plus,fuzzy
|
| 5 |
+
sku-3,prophet_plus,fuzzy_transient
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
data/demand_forecasting_demo_models_10.csv
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
sku,best_model,characteristic
|
| 2 |
+
sku-0,fft_plus,continuous
|
| 3 |
+
sku-1,holt_winters_plus,continuous
|
| 4 |
+
sku-2,prophet_plus,fuzzy
|
| 5 |
+
sku-3,prophet_plus,fuzzy_transient
|
| 6 |
+
sku-4,prophet_plus,fuzzy
|
| 7 |
+
sku-5,prophet_plus,fuzzy
|
| 8 |
+
sku-6,ceif_plus,fuzzy
|
| 9 |
+
sku-7,holt_winters_plus,continuous
|
| 10 |
+
sku-8,prophet_plus,fuzzy
|
| 11 |
+
sku-9,prophet_plus,fuzzy
|
data/demand_forecasting_demo_result.csv
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
datetime,y,sku
|
| 2 |
+
2023-04-23,20,sku-0
|
| 3 |
+
2023-04-30,19,sku-0
|
| 4 |
+
2023-05-07,25,sku-0
|
| 5 |
+
2023-05-14,27,sku-0
|
| 6 |
+
2023-05-21,20,sku-0
|
| 7 |
+
2023-05-28,21,sku-0
|
| 8 |
+
2023-06-04,27,sku-0
|
| 9 |
+
2023-06-11,27,sku-0
|
| 10 |
+
2023-06-18,27,sku-0
|
| 11 |
+
2023-06-25,27,sku-0
|
| 12 |
+
2023-07-02,27,sku-0
|
| 13 |
+
2023-07-09,27,sku-0
|
| 14 |
+
2023-07-16,27,sku-0
|
| 15 |
+
2023-07-23,27,sku-0
|
| 16 |
+
2023-07-30,27,sku-0
|
| 17 |
+
2023-04-09,77,sku-1
|
| 18 |
+
2023-04-16,78,sku-1
|
| 19 |
+
2023-04-23,78,sku-1
|
| 20 |
+
2023-04-30,79,sku-1
|
| 21 |
+
2023-05-07,80,sku-1
|
| 22 |
+
2023-05-14,80,sku-1
|
| 23 |
+
2023-05-21,81,sku-1
|
| 24 |
+
2023-05-28,82,sku-1
|
| 25 |
+
2023-06-04,82,sku-1
|
| 26 |
+
2023-06-11,83,sku-1
|
| 27 |
+
2023-06-18,84,sku-1
|
| 28 |
+
2023-06-25,84,sku-1
|
| 29 |
+
2023-07-02,85,sku-1
|
| 30 |
+
2023-07-09,86,sku-1
|
| 31 |
+
2023-07-16,86,sku-1
|
| 32 |
+
2022-12-04,0,sku-2
|
| 33 |
+
2022-12-11,46,sku-2
|
| 34 |
+
2022-12-18,0,sku-2
|
| 35 |
+
2022-12-25,46,sku-2
|
| 36 |
+
2023-01-01,0,sku-2
|
| 37 |
+
2023-01-08,53,sku-2
|
| 38 |
+
2023-01-15,0,sku-2
|
| 39 |
+
2023-01-22,46,sku-2
|
| 40 |
+
2023-01-29,0,sku-2
|
| 41 |
+
2023-02-05,46,sku-2
|
| 42 |
+
2023-02-12,48,sku-2
|
| 43 |
+
2023-02-19,0,sku-2
|
| 44 |
+
2023-02-26,50,sku-2
|
| 45 |
+
2023-03-05,0,sku-2
|
| 46 |
+
2023-03-12,49,sku-2
|
| 47 |
+
2023-04-23,0,sku-3
|
| 48 |
+
2023-04-30,0,sku-3
|
| 49 |
+
2023-05-07,17,sku-3
|
| 50 |
+
2023-05-14,0,sku-3
|
| 51 |
+
2023-05-21,0,sku-3
|
| 52 |
+
2023-05-28,20,sku-3
|
| 53 |
+
2023-06-04,0,sku-3
|
| 54 |
+
2023-06-11,18,sku-3
|
| 55 |
+
2023-06-18,0,sku-3
|
| 56 |
+
2023-06-25,0,sku-3
|
| 57 |
+
2023-07-02,19,sku-3
|
| 58 |
+
2023-07-09,0,sku-3
|
| 59 |
+
2023-07-16,0,sku-3
|
| 60 |
+
2023-07-23,19,sku-3
|
| 61 |
+
2023-07-30,0,sku-3
|
demo.py
CHANGED
|
@@ -4,16 +4,17 @@ import gradio as gr
|
|
| 4 |
from gr_app.GradioApp import GradioApp
|
| 5 |
from gr_app import args
|
| 6 |
|
| 7 |
-
app = GradioApp()
|
| 8 |
|
| 9 |
demo = gr.Blocks(**args.block)
|
| 10 |
|
| 11 |
with demo:
|
|
|
|
|
|
|
| 12 |
warning = gr.Warning()
|
| 13 |
gr.Markdown('# Sentient.io - Demand Forecasting')
|
| 14 |
gr.Markdown('Demo for demand forecasting pipeline')
|
| 15 |
|
| 16 |
-
gr.
|
| 17 |
|
| 18 |
gr.Markdown('# Step 1 - Load Data')
|
| 19 |
with gr.Row():
|
|
@@ -26,6 +27,8 @@ with demo:
|
|
| 26 |
- Multiple SKUs can put in to same CSV
|
| 27 |
- Time interval in data must be consistent
|
| 28 |
- Missing value have to be filled up
|
|
|
|
|
|
|
| 29 |
''')
|
| 30 |
|
| 31 |
with gr.Column():
|
|
@@ -36,9 +39,16 @@ with demo:
|
|
| 36 |
|
| 37 |
file_upload_data = gr.File(**args.file_upload_data)
|
| 38 |
|
|
|
|
|
|
|
| 39 |
df_ts_data = gr.DataFrame(**args.df_ts_data)
|
| 40 |
|
| 41 |
-
gr.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 42 |
|
| 43 |
gr.Markdown('# Step 2 - Model Selection')
|
| 44 |
|
|
@@ -53,13 +63,16 @@ with demo:
|
|
| 53 |
|
| 54 |
with gr.Column():
|
| 55 |
btn_load_model_data = gr.Button('Use Demo Data')
|
| 56 |
-
btn_model_selection = gr.Button(
|
|
|
|
| 57 |
gr.Markdown('Upload previous model selection result (if have):')
|
| 58 |
file_upload_model_data = gr.File(**args.file_upload_model_data)
|
| 59 |
|
| 60 |
df_model_data = gr.DataFrame()
|
| 61 |
file_model_data = gr.File()
|
| 62 |
-
|
|
|
|
|
|
|
| 63 |
gr.Markdown('# Step 3 - Forecasting')
|
| 64 |
|
| 65 |
with gr.Row():
|
|
@@ -75,9 +88,15 @@ with demo:
|
|
| 75 |
|
| 76 |
btn_forecast = gr.Button("Forecast", variant='primary')
|
| 77 |
|
|
|
|
|
|
|
| 78 |
df_forecast = gr.DataFrame(**args.df_forecast)
|
| 79 |
file_forecast = gr.File()
|
| 80 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 81 |
# ============= #
|
| 82 |
# = Functions = #
|
| 83 |
# ============= #
|
|
@@ -85,12 +104,20 @@ with demo:
|
|
| 85 |
btn_load_data.click(
|
| 86 |
app.btn_load_data__click,
|
| 87 |
[],
|
| 88 |
-
[df_ts_data,
|
|
|
|
|
|
|
|
|
|
|
|
|
| 89 |
|
| 90 |
file_upload_data.upload(
|
| 91 |
app.file_upload_data__upload,
|
| 92 |
[file_upload_data],
|
| 93 |
-
[df_ts_data,
|
|
|
|
|
|
|
|
|
|
|
|
|
| 94 |
|
| 95 |
file_upload_model_data.upload(
|
| 96 |
app.file_upload_model_data__upload,
|
|
@@ -109,7 +136,12 @@ with demo:
|
|
| 109 |
|
| 110 |
btn_forecast.click(
|
| 111 |
app.btn_forecast__click,
|
| 112 |
-
[], [df_forecast, file_forecast]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 113 |
)
|
| 114 |
|
| 115 |
slider_forecast_horizon.change(
|
|
@@ -117,5 +149,22 @@ with demo:
|
|
| 117 |
[slider_forecast_horizon],
|
| 118 |
[])
|
| 119 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 120 |
|
| 121 |
demo.launch()
|
|
|
|
| 4 |
from gr_app.GradioApp import GradioApp
|
| 5 |
from gr_app import args
|
| 6 |
|
|
|
|
| 7 |
|
| 8 |
demo = gr.Blocks(**args.block)
|
| 9 |
|
| 10 |
with demo:
|
| 11 |
+
app = GradioApp()
|
| 12 |
+
|
| 13 |
warning = gr.Warning()
|
| 14 |
gr.Markdown('# Sentient.io - Demand Forecasting')
|
| 15 |
gr.Markdown('Demo for demand forecasting pipeline')
|
| 16 |
|
| 17 |
+
gr.HTML('<hr style="border:2px solid gray">')
|
| 18 |
|
| 19 |
gr.Markdown('# Step 1 - Load Data')
|
| 20 |
with gr.Row():
|
|
|
|
| 27 |
- Multiple SKUs can put in to same CSV
|
| 28 |
- Time interval in data must be consistent
|
| 29 |
- Missing value have to be filled up
|
| 30 |
+
---
|
| 31 |
+
**Note**: The column "y" is the historical data of the variable that you want to forecast. It can be any parameter in any unit, as long as it is consistent across the same SKU.
|
| 32 |
''')
|
| 33 |
|
| 34 |
with gr.Column():
|
|
|
|
| 39 |
|
| 40 |
file_upload_data = gr.File(**args.file_upload_data)
|
| 41 |
|
| 42 |
+
md_ts_data_info = gr.Markdown()
|
| 43 |
+
|
| 44 |
df_ts_data = gr.DataFrame(**args.df_ts_data)
|
| 45 |
|
| 46 |
+
with gr.Accordion('Data Visualisation', open=False):
|
| 47 |
+
dropdown_ts_data = gr.Dropdown(**args.dropdown_ts_data)
|
| 48 |
+
plot_ts_data = gr.Plot()
|
| 49 |
+
pass
|
| 50 |
+
|
| 51 |
+
gr.HTML('<hr style="border:2px solid gray">')
|
| 52 |
|
| 53 |
gr.Markdown('# Step 2 - Model Selection')
|
| 54 |
|
|
|
|
| 63 |
|
| 64 |
with gr.Column():
|
| 65 |
btn_load_model_data = gr.Button('Use Demo Data')
|
| 66 |
+
btn_model_selection = gr.Button(
|
| 67 |
+
'Model Selection', variant='primary')
|
| 68 |
gr.Markdown('Upload previous model selection result (if have):')
|
| 69 |
file_upload_model_data = gr.File(**args.file_upload_model_data)
|
| 70 |
|
| 71 |
df_model_data = gr.DataFrame()
|
| 72 |
file_model_data = gr.File()
|
| 73 |
+
|
| 74 |
+
gr.HTML('<hr style="border:2px solid gray">')
|
| 75 |
+
|
| 76 |
gr.Markdown('# Step 3 - Forecasting')
|
| 77 |
|
| 78 |
with gr.Row():
|
|
|
|
| 88 |
|
| 89 |
btn_forecast = gr.Button("Forecast", variant='primary')
|
| 90 |
|
| 91 |
+
btn_load_demo_result = gr.Button('Load Demo Result')
|
| 92 |
+
|
| 93 |
df_forecast = gr.DataFrame(**args.df_forecast)
|
| 94 |
file_forecast = gr.File()
|
| 95 |
|
| 96 |
+
with gr.Accordion('Data Visualisation', open=False):
|
| 97 |
+
dropdown_forecast = gr.Dropdown(**args.dropdown_forecast)
|
| 98 |
+
plot_forecast = gr.Plot()
|
| 99 |
+
|
| 100 |
# ============= #
|
| 101 |
# = Functions = #
|
| 102 |
# ============= #
|
|
|
|
| 104 |
btn_load_data.click(
|
| 105 |
app.btn_load_data__click,
|
| 106 |
[],
|
| 107 |
+
[df_ts_data,
|
| 108 |
+
df_model_data,
|
| 109 |
+
file_model_data,
|
| 110 |
+
slider_forecast_horizon,
|
| 111 |
+
md_ts_data_info])
|
| 112 |
|
| 113 |
file_upload_data.upload(
|
| 114 |
app.file_upload_data__upload,
|
| 115 |
[file_upload_data],
|
| 116 |
+
[df_ts_data,
|
| 117 |
+
df_model_data,
|
| 118 |
+
file_model_data,
|
| 119 |
+
slider_forecast_horizon,
|
| 120 |
+
md_ts_data_info])
|
| 121 |
|
| 122 |
file_upload_model_data.upload(
|
| 123 |
app.file_upload_model_data__upload,
|
|
|
|
| 136 |
|
| 137 |
btn_forecast.click(
|
| 138 |
app.btn_forecast__click,
|
| 139 |
+
[], [df_forecast, file_forecast, dropdown_forecast]
|
| 140 |
+
)
|
| 141 |
+
|
| 142 |
+
btn_load_demo_result.click(
|
| 143 |
+
app.btn_load_demo_result__click,
|
| 144 |
+
[], [df_forecast, file_forecast, dropdown_forecast]
|
| 145 |
)
|
| 146 |
|
| 147 |
slider_forecast_horizon.change(
|
|
|
|
| 149 |
[slider_forecast_horizon],
|
| 150 |
[])
|
| 151 |
|
| 152 |
+
df_ts_data.change(
|
| 153 |
+
app.df_ts_data__change,
|
| 154 |
+
[], [dropdown_ts_data]
|
| 155 |
+
)
|
| 156 |
+
|
| 157 |
+
dropdown_ts_data.select(
|
| 158 |
+
app.dropdown_ts_data__select,
|
| 159 |
+
[dropdown_ts_data],
|
| 160 |
+
[plot_ts_data]
|
| 161 |
+
)
|
| 162 |
+
|
| 163 |
+
dropdown_forecast.select(
|
| 164 |
+
app.dropdown_forecast__select,
|
| 165 |
+
[dropdown_forecast],
|
| 166 |
+
[plot_forecast]
|
| 167 |
+
)
|
| 168 |
+
|
| 169 |
|
| 170 |
demo.launch()
|
forecast_result.csv
CHANGED
|
@@ -14,43 +14,6 @@ datetime,y,sku
|
|
| 14 |
2023-07-16,27,sku-0
|
| 15 |
2023-07-23,27,sku-0
|
| 16 |
2023-07-30,27,sku-0
|
| 17 |
-
2023-08-06,27,sku-0
|
| 18 |
-
2023-08-13,27,sku-0
|
| 19 |
-
2023-08-20,27,sku-0
|
| 20 |
-
2023-08-27,27,sku-0
|
| 21 |
-
2023-09-03,24,sku-0
|
| 22 |
-
2023-09-10,24,sku-0
|
| 23 |
-
2023-09-17,20,sku-0
|
| 24 |
-
2023-09-24,27,sku-0
|
| 25 |
-
2023-10-01,27,sku-0
|
| 26 |
-
2023-10-08,20,sku-0
|
| 27 |
-
2023-10-15,28,sku-0
|
| 28 |
-
2023-10-22,21,sku-0
|
| 29 |
-
2023-10-29,27,sku-0
|
| 30 |
-
2023-11-05,34,sku-0
|
| 31 |
-
2023-11-12,19,sku-0
|
| 32 |
-
2023-11-19,28,sku-0
|
| 33 |
-
2023-11-26,27,sku-0
|
| 34 |
-
2023-12-03,22,sku-0
|
| 35 |
-
2023-12-10,20,sku-0
|
| 36 |
-
2023-12-17,19,sku-0
|
| 37 |
-
2023-12-24,27,sku-0
|
| 38 |
-
2023-12-31,24,sku-0
|
| 39 |
-
2024-01-07,33,sku-0
|
| 40 |
-
2024-01-14,20,sku-0
|
| 41 |
-
2024-01-21,27,sku-0
|
| 42 |
-
2024-01-28,27,sku-0
|
| 43 |
-
2024-02-04,27,sku-0
|
| 44 |
-
2024-02-11,28,sku-0
|
| 45 |
-
2024-02-18,27,sku-0
|
| 46 |
-
2024-02-25,20,sku-0
|
| 47 |
-
2024-03-03,32,sku-0
|
| 48 |
-
2024-03-10,19,sku-0
|
| 49 |
-
2024-03-17,20,sku-0
|
| 50 |
-
2024-03-24,27,sku-0
|
| 51 |
-
2024-03-31,21,sku-0
|
| 52 |
-
2024-04-07,21,sku-0
|
| 53 |
-
2024-04-14,19,sku-0
|
| 54 |
2023-04-09,77,sku-1
|
| 55 |
2023-04-16,78,sku-1
|
| 56 |
2023-04-23,78,sku-1
|
|
@@ -66,43 +29,6 @@ datetime,y,sku
|
|
| 66 |
2023-07-02,85,sku-1
|
| 67 |
2023-07-09,86,sku-1
|
| 68 |
2023-07-16,86,sku-1
|
| 69 |
-
2023-07-23,87,sku-1
|
| 70 |
-
2023-07-30,88,sku-1
|
| 71 |
-
2023-08-06,88,sku-1
|
| 72 |
-
2023-08-13,89,sku-1
|
| 73 |
-
2023-08-20,90,sku-1
|
| 74 |
-
2023-08-27,90,sku-1
|
| 75 |
-
2023-09-03,91,sku-1
|
| 76 |
-
2023-09-10,91,sku-1
|
| 77 |
-
2023-09-17,92,sku-1
|
| 78 |
-
2023-09-24,93,sku-1
|
| 79 |
-
2023-10-01,93,sku-1
|
| 80 |
-
2023-10-08,94,sku-1
|
| 81 |
-
2023-10-15,95,sku-1
|
| 82 |
-
2023-10-22,95,sku-1
|
| 83 |
-
2023-10-29,96,sku-1
|
| 84 |
-
2023-11-05,97,sku-1
|
| 85 |
-
2023-11-12,97,sku-1
|
| 86 |
-
2023-11-19,98,sku-1
|
| 87 |
-
2023-11-26,99,sku-1
|
| 88 |
-
2023-12-03,99,sku-1
|
| 89 |
-
2023-12-10,100,sku-1
|
| 90 |
-
2023-12-17,101,sku-1
|
| 91 |
-
2023-12-24,101,sku-1
|
| 92 |
-
2023-12-31,102,sku-1
|
| 93 |
-
2024-01-07,103,sku-1
|
| 94 |
-
2024-01-14,103,sku-1
|
| 95 |
-
2024-01-21,104,sku-1
|
| 96 |
-
2024-01-28,105,sku-1
|
| 97 |
-
2024-02-04,105,sku-1
|
| 98 |
-
2024-02-11,106,sku-1
|
| 99 |
-
2024-02-18,107,sku-1
|
| 100 |
-
2024-02-25,107,sku-1
|
| 101 |
-
2024-03-03,108,sku-1
|
| 102 |
-
2024-03-10,109,sku-1
|
| 103 |
-
2024-03-17,109,sku-1
|
| 104 |
-
2024-03-24,110,sku-1
|
| 105 |
-
2024-03-31,111,sku-1
|
| 106 |
2022-12-04,0,sku-2
|
| 107 |
2022-12-11,46,sku-2
|
| 108 |
2022-12-18,0,sku-2
|
|
@@ -118,43 +44,6 @@ datetime,y,sku
|
|
| 118 |
2023-02-26,50,sku-2
|
| 119 |
2023-03-05,0,sku-2
|
| 120 |
2023-03-12,49,sku-2
|
| 121 |
-
2023-03-19,0,sku-2
|
| 122 |
-
2023-03-26,49,sku-2
|
| 123 |
-
2023-04-02,0,sku-2
|
| 124 |
-
2023-04-09,55,sku-2
|
| 125 |
-
2023-04-16,0,sku-2
|
| 126 |
-
2023-04-23,49,sku-2
|
| 127 |
-
2023-04-30,0,sku-2
|
| 128 |
-
2023-05-07,49,sku-2
|
| 129 |
-
2023-05-14,51,sku-2
|
| 130 |
-
2023-05-21,0,sku-2
|
| 131 |
-
2023-05-28,53,sku-2
|
| 132 |
-
2023-06-04,0,sku-2
|
| 133 |
-
2023-06-11,51,sku-2
|
| 134 |
-
2023-06-18,0,sku-2
|
| 135 |
-
2023-06-25,51,sku-2
|
| 136 |
-
2023-07-02,0,sku-2
|
| 137 |
-
2023-07-09,58,sku-2
|
| 138 |
-
2023-07-16,0,sku-2
|
| 139 |
-
2023-07-23,51,sku-2
|
| 140 |
-
2023-07-30,0,sku-2
|
| 141 |
-
2023-08-06,51,sku-2
|
| 142 |
-
2023-08-13,53,sku-2
|
| 143 |
-
2023-08-20,0,sku-2
|
| 144 |
-
2023-08-27,55,sku-2
|
| 145 |
-
2023-09-03,0,sku-2
|
| 146 |
-
2023-09-10,53,sku-2
|
| 147 |
-
2023-09-17,0,sku-2
|
| 148 |
-
2023-09-24,53,sku-2
|
| 149 |
-
2023-10-01,0,sku-2
|
| 150 |
-
2023-10-08,60,sku-2
|
| 151 |
-
2023-10-15,0,sku-2
|
| 152 |
-
2023-10-22,54,sku-2
|
| 153 |
-
2023-10-29,0,sku-2
|
| 154 |
-
2023-11-05,53,sku-2
|
| 155 |
-
2023-11-12,56,sku-2
|
| 156 |
-
2023-11-19,0,sku-2
|
| 157 |
-
2023-11-26,58,sku-2
|
| 158 |
2023-04-23,0,sku-3
|
| 159 |
2023-04-30,0,sku-3
|
| 160 |
2023-05-07,17,sku-3
|
|
@@ -170,352 +59,3 @@ datetime,y,sku
|
|
| 170 |
2023-07-16,0,sku-3
|
| 171 |
2023-07-23,19,sku-3
|
| 172 |
2023-07-30,0,sku-3
|
| 173 |
-
2023-08-06,0,sku-3
|
| 174 |
-
2023-08-13,0,sku-3
|
| 175 |
-
2023-08-20,14,sku-3
|
| 176 |
-
2023-08-27,0,sku-3
|
| 177 |
-
2023-09-03,0,sku-3
|
| 178 |
-
2023-09-10,19,sku-3
|
| 179 |
-
2023-09-17,0,sku-3
|
| 180 |
-
2023-09-24,0,sku-3
|
| 181 |
-
2023-10-01,18,sku-3
|
| 182 |
-
2023-10-08,0,sku-3
|
| 183 |
-
2023-10-15,0,sku-3
|
| 184 |
-
2023-10-22,21,sku-3
|
| 185 |
-
2023-10-29,0,sku-3
|
| 186 |
-
2023-11-05,0,sku-3
|
| 187 |
-
2023-11-12,19,sku-3
|
| 188 |
-
2023-11-19,0,sku-3
|
| 189 |
-
2023-11-26,0,sku-3
|
| 190 |
-
2023-12-03,20,sku-3
|
| 191 |
-
2023-12-10,0,sku-3
|
| 192 |
-
2023-12-17,0,sku-3
|
| 193 |
-
2023-12-24,19,sku-3
|
| 194 |
-
2023-12-31,0,sku-3
|
| 195 |
-
2024-01-07,0,sku-3
|
| 196 |
-
2024-01-14,0,sku-3
|
| 197 |
-
2024-01-21,15,sku-3
|
| 198 |
-
2024-01-28,0,sku-3
|
| 199 |
-
2024-02-04,0,sku-3
|
| 200 |
-
2024-02-11,20,sku-3
|
| 201 |
-
2024-02-18,0,sku-3
|
| 202 |
-
2024-02-25,0,sku-3
|
| 203 |
-
2024-03-03,19,sku-3
|
| 204 |
-
2024-03-10,0,sku-3
|
| 205 |
-
2024-03-17,0,sku-3
|
| 206 |
-
2024-03-24,21,sku-3
|
| 207 |
-
2024-03-31,0,sku-3
|
| 208 |
-
2024-04-07,0,sku-3
|
| 209 |
-
2024-04-14,19,sku-3
|
| 210 |
-
2023-04-23,0,sku-4
|
| 211 |
-
2023-04-30,18,sku-4
|
| 212 |
-
2023-05-07,12,sku-4
|
| 213 |
-
2023-05-14,10,sku-4
|
| 214 |
-
2023-05-21,12,sku-4
|
| 215 |
-
2023-05-28,0,sku-4
|
| 216 |
-
2023-06-04,11,sku-4
|
| 217 |
-
2023-06-11,0,sku-4
|
| 218 |
-
2023-06-18,11,sku-4
|
| 219 |
-
2023-06-25,13,sku-4
|
| 220 |
-
2023-07-02,0,sku-4
|
| 221 |
-
2023-07-09,18,sku-4
|
| 222 |
-
2023-07-16,12,sku-4
|
| 223 |
-
2023-07-23,10,sku-4
|
| 224 |
-
2023-07-30,12,sku-4
|
| 225 |
-
2023-08-06,0,sku-4
|
| 226 |
-
2023-08-13,11,sku-4
|
| 227 |
-
2023-08-20,0,sku-4
|
| 228 |
-
2023-08-27,11,sku-4
|
| 229 |
-
2023-09-03,13,sku-4
|
| 230 |
-
2023-09-10,0,sku-4
|
| 231 |
-
2023-09-17,18,sku-4
|
| 232 |
-
2023-09-24,12,sku-4
|
| 233 |
-
2023-10-01,10,sku-4
|
| 234 |
-
2023-10-08,12,sku-4
|
| 235 |
-
2023-10-15,0,sku-4
|
| 236 |
-
2023-10-22,12,sku-4
|
| 237 |
-
2023-10-29,0,sku-4
|
| 238 |
-
2023-11-05,11,sku-4
|
| 239 |
-
2023-11-12,13,sku-4
|
| 240 |
-
2023-11-19,0,sku-4
|
| 241 |
-
2023-11-26,18,sku-4
|
| 242 |
-
2023-12-03,12,sku-4
|
| 243 |
-
2023-12-10,10,sku-4
|
| 244 |
-
2023-12-17,12,sku-4
|
| 245 |
-
2023-12-24,0,sku-4
|
| 246 |
-
2023-12-31,12,sku-4
|
| 247 |
-
2024-01-07,0,sku-4
|
| 248 |
-
2024-01-14,11,sku-4
|
| 249 |
-
2024-01-21,13,sku-4
|
| 250 |
-
2024-01-28,0,sku-4
|
| 251 |
-
2024-02-04,18,sku-4
|
| 252 |
-
2024-02-11,12,sku-4
|
| 253 |
-
2024-02-18,10,sku-4
|
| 254 |
-
2024-02-25,12,sku-4
|
| 255 |
-
2024-03-03,0,sku-4
|
| 256 |
-
2024-03-10,12,sku-4
|
| 257 |
-
2024-03-17,0,sku-4
|
| 258 |
-
2024-03-24,11,sku-4
|
| 259 |
-
2024-03-31,13,sku-4
|
| 260 |
-
2024-04-07,0,sku-4
|
| 261 |
-
2024-04-14,18,sku-4
|
| 262 |
-
2023-04-23,0,sku-5
|
| 263 |
-
2023-04-30,25,sku-5
|
| 264 |
-
2023-05-07,28,sku-5
|
| 265 |
-
2023-05-14,0,sku-5
|
| 266 |
-
2023-05-21,25,sku-5
|
| 267 |
-
2023-05-28,0,sku-5
|
| 268 |
-
2023-06-04,34,sku-5
|
| 269 |
-
2023-06-11,0,sku-5
|
| 270 |
-
2023-06-18,38,sku-5
|
| 271 |
-
2023-06-25,0,sku-5
|
| 272 |
-
2023-07-02,39,sku-5
|
| 273 |
-
2023-07-09,0,sku-5
|
| 274 |
-
2023-07-16,23,sku-5
|
| 275 |
-
2023-07-23,0,sku-5
|
| 276 |
-
2023-07-30,25,sku-5
|
| 277 |
-
2023-08-06,28,sku-5
|
| 278 |
-
2023-08-13,0,sku-5
|
| 279 |
-
2023-08-20,25,sku-5
|
| 280 |
-
2023-08-27,0,sku-5
|
| 281 |
-
2023-09-03,35,sku-5
|
| 282 |
-
2023-09-10,0,sku-5
|
| 283 |
-
2023-09-17,38,sku-5
|
| 284 |
-
2023-09-24,0,sku-5
|
| 285 |
-
2023-10-01,39,sku-5
|
| 286 |
-
2023-10-08,0,sku-5
|
| 287 |
-
2023-10-15,24,sku-5
|
| 288 |
-
2023-10-22,0,sku-5
|
| 289 |
-
2023-10-29,26,sku-5
|
| 290 |
-
2023-11-05,29,sku-5
|
| 291 |
-
2023-11-12,0,sku-5
|
| 292 |
-
2023-11-19,26,sku-5
|
| 293 |
-
2023-11-26,0,sku-5
|
| 294 |
-
2023-12-03,35,sku-5
|
| 295 |
-
2023-12-10,0,sku-5
|
| 296 |
-
2023-12-17,39,sku-5
|
| 297 |
-
2023-12-24,0,sku-5
|
| 298 |
-
2023-12-31,39,sku-5
|
| 299 |
-
2024-01-07,0,sku-5
|
| 300 |
-
2024-01-14,24,sku-5
|
| 301 |
-
2024-01-21,0,sku-5
|
| 302 |
-
2024-01-28,26,sku-5
|
| 303 |
-
2024-02-04,29,sku-5
|
| 304 |
-
2024-02-11,0,sku-5
|
| 305 |
-
2024-02-18,26,sku-5
|
| 306 |
-
2024-02-25,0,sku-5
|
| 307 |
-
2024-03-03,35,sku-5
|
| 308 |
-
2024-03-10,0,sku-5
|
| 309 |
-
2024-03-17,39,sku-5
|
| 310 |
-
2024-03-24,0,sku-5
|
| 311 |
-
2024-03-31,40,sku-5
|
| 312 |
-
2024-04-07,0,sku-5
|
| 313 |
-
2024-04-14,25,sku-5
|
| 314 |
-
2023-04-16,0,sku-6
|
| 315 |
-
2023-04-23,0,sku-6
|
| 316 |
-
2023-04-30,0,sku-6
|
| 317 |
-
2023-05-07,65,sku-6
|
| 318 |
-
2023-05-14,0,sku-6
|
| 319 |
-
2023-05-21,0,sku-6
|
| 320 |
-
2023-05-28,0,sku-6
|
| 321 |
-
2023-06-04,65,sku-6
|
| 322 |
-
2023-06-11,0,sku-6
|
| 323 |
-
2023-06-18,0,sku-6
|
| 324 |
-
2023-06-25,0,sku-6
|
| 325 |
-
2023-07-02,39,sku-6
|
| 326 |
-
2023-07-09,0,sku-6
|
| 327 |
-
2023-07-16,0,sku-6
|
| 328 |
-
2023-07-23,0,sku-6
|
| 329 |
-
2023-07-30,40,sku-6
|
| 330 |
-
2023-08-06,0,sku-6
|
| 331 |
-
2023-08-13,0,sku-6
|
| 332 |
-
2023-08-20,0,sku-6
|
| 333 |
-
2023-08-27,62,sku-6
|
| 334 |
-
2023-09-03,0,sku-6
|
| 335 |
-
2023-09-10,0,sku-6
|
| 336 |
-
2023-09-17,0,sku-6
|
| 337 |
-
2023-09-24,70,sku-6
|
| 338 |
-
2023-10-01,0,sku-6
|
| 339 |
-
2023-10-08,0,sku-6
|
| 340 |
-
2023-10-15,0,sku-6
|
| 341 |
-
2023-10-22,0,sku-6
|
| 342 |
-
2023-10-29,0,sku-6
|
| 343 |
-
2023-11-05,38,sku-6
|
| 344 |
-
2023-11-12,0,sku-6
|
| 345 |
-
2023-11-19,0,sku-6
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| 346 |
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2023-11-26,0,sku-6
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2023-12-03,63,sku-6
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2023-12-10,0,sku-6
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2023-12-17,0,sku-6
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2023-12-24,0,sku-6
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2023-12-31,0,sku-6
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2024-01-07,0,sku-6
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2024-01-14,0,sku-6
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2024-01-21,0,sku-6
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2024-01-28,0,sku-6
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2024-02-04,44,sku-6
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2024-02-11,0,sku-6
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2024-02-18,0,sku-6
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2024-02-25,0,sku-6
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2024-03-03,0,sku-6
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| 361 |
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2024-03-10,61,sku-6
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2024-03-17,0,sku-6
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2024-03-24,0,sku-6
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2024-03-31,0,sku-6
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2024-04-07,40,sku-6
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2023-04-23,17,sku-7
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2023-04-30,17,sku-7
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2023-05-07,17,sku-7
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2023-05-14,17,sku-7
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2023-05-21,17,sku-7
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2023-05-28,17,sku-7
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2023-06-04,17,sku-7
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2023-06-11,17,sku-7
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2023-06-18,17,sku-7
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2023-06-25,17,sku-7
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2023-07-02,17,sku-7
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2023-07-09,17,sku-7
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2023-07-16,17,sku-7
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2023-07-23,17,sku-7
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2023-07-30,17,sku-7
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2023-08-06,17,sku-7
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2023-08-13,17,sku-7
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2023-08-20,17,sku-7
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2023-08-27,17,sku-7
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2023-09-03,17,sku-7
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2023-09-10,17,sku-7
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2023-09-17,17,sku-7
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2023-09-24,17,sku-7
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2023-10-01,17,sku-7
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2023-10-08,17,sku-7
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2023-10-15,17,sku-7
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2023-10-22,17,sku-7
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2023-10-29,17,sku-7
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2023-11-05,17,sku-7
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2023-11-12,17,sku-7
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2023-11-19,17,sku-7
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2023-11-26,17,sku-7
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2023-12-03,17,sku-7
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2023-12-10,17,sku-7
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2023-12-17,17,sku-7
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2023-12-24,17,sku-7
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2023-12-31,17,sku-7
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2024-01-07,17,sku-7
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2024-01-14,17,sku-7
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2024-01-21,17,sku-7
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2024-02-11,17,sku-7
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2024-02-18,17,sku-7
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2024-02-25,17,sku-7
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2024-03-10,17,sku-7
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2024-03-17,17,sku-7
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2024-03-24,17,sku-7
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2024-03-31,17,sku-7
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2024-04-07,17,sku-7
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2024-04-14,17,sku-7
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2023-04-23,15,sku-8
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2023-04-30,0,sku-8
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2023-05-07,16,sku-8
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2023-05-14,18,sku-8
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2023-05-28,17,sku-8
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2023-06-11,0,sku-8
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2023-06-18,17,sku-8
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2023-06-25,13,sku-8
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2023-07-02,16,sku-8
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2023-10-01,18,sku-8
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2023-07-16,27,sku-0
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2023-07-30,27,sku-0
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| 17 |
2023-04-09,77,sku-1
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2023-04-16,78,sku-1
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| 19 |
2023-04-23,78,sku-1
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| 29 |
2023-07-02,85,sku-1
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| 30 |
2023-07-09,86,sku-1
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| 31 |
2023-07-16,86,sku-1
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| 32 |
2022-12-04,0,sku-2
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| 33 |
2022-12-11,46,sku-2
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| 34 |
2022-12-18,0,sku-2
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| 44 |
2023-02-26,50,sku-2
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| 46 |
2023-03-12,49,sku-2
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| 47 |
2023-04-23,0,sku-3
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| 49 |
2023-05-07,17,sku-3
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gr_app/GradioApp.py
CHANGED
|
@@ -1,9 +1,12 @@
|
|
| 1 |
import pandas as pd
|
| 2 |
import math
|
| 3 |
from src.main import DemandForecasting
|
|
|
|
| 4 |
|
| 5 |
import gradio as gr
|
| 6 |
|
|
|
|
|
|
|
| 7 |
|
| 8 |
class GradioApp():
|
| 9 |
def __init__(self):
|
|
@@ -16,18 +19,26 @@ class GradioApp():
|
|
| 16 |
self.forecast_horizon = 1
|
| 17 |
|
| 18 |
def __set_ts_data(self, path):
|
| 19 |
-
self.ts_data = pd.read_csv(
|
| 20 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 21 |
|
| 22 |
self.model_data = pd.DataFrame(
|
| 23 |
{
|
| 24 |
'sku': self.skus,
|
| 25 |
'best_model': '',
|
| 26 |
'characteristic': '',
|
| 27 |
-
'RMSE': ''
|
| 28 |
}
|
| 29 |
)
|
| 30 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 31 |
def __set_model(self, model_df):
|
| 32 |
if (self.skus is None):
|
| 33 |
raise gr.Error(
|
|
@@ -46,7 +57,17 @@ class GradioApp():
|
|
| 46 |
return (self.update__df_ts_data(),
|
| 47 |
self.update__df_model_data(),
|
| 48 |
self.update__file_model_data(),
|
| 49 |
-
self.update__slider_forecast_horizon()
|
|
|
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|
|
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|
|
| 50 |
|
| 51 |
def file_upload_data__upload(self, file):
|
| 52 |
self.__set_ts_data(file.name)
|
|
@@ -54,7 +75,8 @@ class GradioApp():
|
|
| 54 |
return (self.update__df_ts_data(),
|
| 55 |
self.update__df_model_data(),
|
| 56 |
self.update__file_model_data(),
|
| 57 |
-
self.update__slider_forecast_horizon()
|
|
|
|
| 58 |
|
| 59 |
def file_upload_model_data__upload(self, file):
|
| 60 |
model_df = pd.read_csv(file.name)
|
|
@@ -89,8 +111,8 @@ class GradioApp():
|
|
| 89 |
|
| 90 |
self.model_data.loc[self.model_data['sku'] ==
|
| 91 |
sku, 'best_model'] = res['forecast'][0]['model']
|
| 92 |
-
self.model_data.loc[self.model_data['sku'] ==
|
| 93 |
-
|
| 94 |
|
| 95 |
return (self.update__df_model_data(),
|
| 96 |
self.update__file_model_data())
|
|
@@ -104,9 +126,13 @@ class GradioApp():
|
|
| 104 |
# Forecasting #
|
| 105 |
# ----------- #
|
| 106 |
forecasts = []
|
|
|
|
|
|
|
|
|
|
|
|
|
| 107 |
for sku in self.skus:
|
| 108 |
print('Forecasting ', sku)
|
| 109 |
-
data =
|
| 110 |
|
| 111 |
# Drop sku column first, for now the pipeline doesn't take this column
|
| 112 |
data = data.drop('sku', axis=1)
|
|
@@ -127,10 +153,20 @@ class GradioApp():
|
|
| 127 |
forecast['sku'] = sku
|
| 128 |
forecasts.append(forecast)
|
| 129 |
|
| 130 |
-
self.forecast = pd.concat(forecasts)
|
| 131 |
|
| 132 |
return (self.update__df_forecast(),
|
| 133 |
-
self.update__file_forecast()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 134 |
|
| 135 |
# ======== #
|
| 136 |
# Updaters #
|
|
@@ -144,19 +180,64 @@ class GradioApp():
|
|
| 144 |
return gr.DataFrame.update(value=self.model_data)
|
| 145 |
|
| 146 |
def update__df_ts_data(self):
|
| 147 |
-
return gr.DataFrame.update(value=self.ts_data)
|
|
|
|
|
|
|
|
|
|
| 148 |
|
| 149 |
def update__slider_forecast_horizon(self):
|
| 150 |
-
|
| 151 |
|
|
|
|
| 152 |
max_horizon = int(
|
| 153 |
-
self.ts_data[self.ts_data['sku'] == sku].shape[0] * 0.2)
|
| 154 |
|
| 155 |
-
|
|
|
|
| 156 |
|
| 157 |
-
|
| 158 |
-
return gr.DataFrame.update(self.forecast)
|
| 159 |
|
| 160 |
def update__file_forecast(self):
|
| 161 |
-
self.forecast.to_csv('./forecast_result.csv', index=False)
|
| 162 |
return gr.File.update(value='./forecast_result.csv')
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
import pandas as pd
|
| 2 |
import math
|
| 3 |
from src.main import DemandForecasting
|
| 4 |
+
import matplotlib.pyplot as plt
|
| 5 |
|
| 6 |
import gradio as gr
|
| 7 |
|
| 8 |
+
from .helpers import reset_index
|
| 9 |
+
|
| 10 |
|
| 11 |
class GradioApp():
|
| 12 |
def __init__(self):
|
|
|
|
| 19 |
self.forecast_horizon = 1
|
| 20 |
|
| 21 |
def __set_ts_data(self, path):
|
| 22 |
+
self.ts_data = pd.read_csv(
|
| 23 |
+
path,
|
| 24 |
+
index_col='datetime',
|
| 25 |
+
parse_dates=['datetime'])
|
| 26 |
+
|
| 27 |
+
self.skus = self.ts_data['sku'].unique().tolist()
|
| 28 |
|
| 29 |
self.model_data = pd.DataFrame(
|
| 30 |
{
|
| 31 |
'sku': self.skus,
|
| 32 |
'best_model': '',
|
| 33 |
'characteristic': '',
|
| 34 |
+
# 'RMSE': ''
|
| 35 |
}
|
| 36 |
)
|
| 37 |
|
| 38 |
+
def __set_forecast(self, forecast: pd.DataFrame):
|
| 39 |
+
self.forecast = forecast.set_index('datetime')
|
| 40 |
+
self.forecast.index = pd.to_datetime(self.forecast.index)
|
| 41 |
+
|
| 42 |
def __set_model(self, model_df):
|
| 43 |
if (self.skus is None):
|
| 44 |
raise gr.Error(
|
|
|
|
| 57 |
return (self.update__df_ts_data(),
|
| 58 |
self.update__df_model_data(),
|
| 59 |
self.update__file_model_data(),
|
| 60 |
+
self.update__slider_forecast_horizon(),
|
| 61 |
+
self.update__md_ts_data_info())
|
| 62 |
+
|
| 63 |
+
def btn_load_demo_result__click(self):
|
| 64 |
+
forecast = pd.read_csv(
|
| 65 |
+
'./data/demand_forecasting_demo_result.csv')
|
| 66 |
+
self.__set_forecast(forecast)
|
| 67 |
+
|
| 68 |
+
return (self.update__df_forecast(),
|
| 69 |
+
self.update__file_forecast(),
|
| 70 |
+
self.update__dropdown_forecast())
|
| 71 |
|
| 72 |
def file_upload_data__upload(self, file):
|
| 73 |
self.__set_ts_data(file.name)
|
|
|
|
| 75 |
return (self.update__df_ts_data(),
|
| 76 |
self.update__df_model_data(),
|
| 77 |
self.update__file_model_data(),
|
| 78 |
+
self.update__slider_forecast_horizon(),
|
| 79 |
+
self.update__md_ts_data_info())
|
| 80 |
|
| 81 |
def file_upload_model_data__upload(self, file):
|
| 82 |
model_df = pd.read_csv(file.name)
|
|
|
|
| 111 |
|
| 112 |
self.model_data.loc[self.model_data['sku'] ==
|
| 113 |
sku, 'best_model'] = res['forecast'][0]['model']
|
| 114 |
+
# self.model_data.loc[self.model_data['sku'] ==
|
| 115 |
+
# sku, 'RMSE'] = round(res['forecast'][0]['RMSE'], 2)
|
| 116 |
|
| 117 |
return (self.update__df_model_data(),
|
| 118 |
self.update__file_model_data())
|
|
|
|
| 126 |
# Forecasting #
|
| 127 |
# ----------- #
|
| 128 |
forecasts = []
|
| 129 |
+
|
| 130 |
+
# Reset data index and format the datetime column to string
|
| 131 |
+
ts_data = reset_index(self.ts_data)
|
| 132 |
+
|
| 133 |
for sku in self.skus:
|
| 134 |
print('Forecasting ', sku)
|
| 135 |
+
data = ts_data[ts_data['sku'] == sku]
|
| 136 |
|
| 137 |
# Drop sku column first, for now the pipeline doesn't take this column
|
| 138 |
data = data.drop('sku', axis=1)
|
|
|
|
| 153 |
forecast['sku'] = sku
|
| 154 |
forecasts.append(forecast)
|
| 155 |
|
| 156 |
+
self.forecast = self.__set_forecast(pd.concat(forecasts))
|
| 157 |
|
| 158 |
return (self.update__df_forecast(),
|
| 159 |
+
self.update__file_forecast(),
|
| 160 |
+
self.update__dropdown_forecast())
|
| 161 |
+
|
| 162 |
+
def df_ts_data__change(self):
|
| 163 |
+
return self.update__dropdown_ts_data()
|
| 164 |
+
|
| 165 |
+
def dropdown_ts_data__select(self, skus):
|
| 166 |
+
return self.update__plot_ts_data(skus)
|
| 167 |
+
|
| 168 |
+
def dropdown_forecast__select(self, sku):
|
| 169 |
+
return self.update__plot_forecast(sku)
|
| 170 |
|
| 171 |
# ======== #
|
| 172 |
# Updaters #
|
|
|
|
| 180 |
return gr.DataFrame.update(value=self.model_data)
|
| 181 |
|
| 182 |
def update__df_ts_data(self):
|
| 183 |
+
return gr.DataFrame.update(value=reset_index(self.ts_data))
|
| 184 |
+
|
| 185 |
+
def update__df_forecast(self):
|
| 186 |
+
return gr.DataFrame.update(reset_index(self.forecast))
|
| 187 |
|
| 188 |
def update__slider_forecast_horizon(self):
|
| 189 |
+
skus = self.skus
|
| 190 |
|
| 191 |
+
# Set max horizon to be the 20% of the shortest SKU data's length
|
| 192 |
max_horizon = int(
|
| 193 |
+
min(self.ts_data[self.ts_data['sku'] == sku].shape[0] for sku in skus) * 0.2)
|
| 194 |
|
| 195 |
+
# max_horizon = int(
|
| 196 |
+
# self.ts_data[self.ts_data['sku'] == sku].shape[0] * 0.2)
|
| 197 |
|
| 198 |
+
return gr.Slider.update(maximum=max_horizon)
|
|
|
|
| 199 |
|
| 200 |
def update__file_forecast(self):
|
| 201 |
+
reset_index(self.forecast).to_csv('./forecast_result.csv', index=False)
|
| 202 |
return gr.File.update(value='./forecast_result.csv')
|
| 203 |
+
|
| 204 |
+
def update__md_ts_data_info(self):
|
| 205 |
+
md = f'''
|
| 206 |
+
### Data Description
|
| 207 |
+
Columns: {self.ts_data.columns.tolist()}
|
| 208 |
+
Size: {[str(sku) + ' - ' + str(self.ts_data[self.ts_data["sku"] == sku].shape[0]) for sku in self.skus]}
|
| 209 |
+
'''
|
| 210 |
+
return gr.Markdown.update(md)
|
| 211 |
+
|
| 212 |
+
def update__dropdown_ts_data(self):
|
| 213 |
+
# print(type(self.skus))
|
| 214 |
+
return gr.Dropdown.update(choices=self.skus)
|
| 215 |
+
|
| 216 |
+
def update__dropdown_forecast(self):
|
| 217 |
+
skus = self.forecast['sku'].unique().tolist()
|
| 218 |
+
return gr.Dropdown.update(choices=skus)
|
| 219 |
+
|
| 220 |
+
def update__plot_ts_data(self, skus):
|
| 221 |
+
# print('update__plot_ts_data')
|
| 222 |
+
fig, ax = plt.subplots(figsize=(12, 4))
|
| 223 |
+
|
| 224 |
+
for sku in skus:
|
| 225 |
+
ax.plot(self.ts_data[self.ts_data['sku'] == sku]['y'], label=sku)
|
| 226 |
+
|
| 227 |
+
ax.legend(loc='upper left')
|
| 228 |
+
fig.tight_layout()
|
| 229 |
+
|
| 230 |
+
return gr.Plot.update(fig)
|
| 231 |
+
|
| 232 |
+
def update__plot_forecast(self, sku):
|
| 233 |
+
fig, ax = plt.subplots(figsize=(12, 4))
|
| 234 |
+
|
| 235 |
+
ax.plot(self.ts_data[self.ts_data['sku'] == sku]['y'],
|
| 236 |
+
label=f'{sku} - historical')
|
| 237 |
+
ax.plot(self.forecast[self.forecast['sku']
|
| 238 |
+
== sku]['y'], label=f'{sku} - forecast')
|
| 239 |
+
|
| 240 |
+
ax.legend(loc='upper left')
|
| 241 |
+
fig.tight_layout()
|
| 242 |
+
|
| 243 |
+
return gr.Plot.update(fig)
|
gr_app/__pycache__/GradioApp.cpython-310.pyc
CHANGED
|
Binary files a/gr_app/__pycache__/GradioApp.cpython-310.pyc and b/gr_app/__pycache__/GradioApp.cpython-310.pyc differ
|
|
|
gr_app/__pycache__/GradioApp.cpython-311.pyc
ADDED
|
Binary file (14.9 kB). View file
|
|
|
gr_app/__pycache__/GradioApp.cpython-39.pyc
ADDED
|
Binary file (8.2 kB). View file
|
|
|
gr_app/__pycache__/__init__.cpython-310.pyc
CHANGED
|
Binary files a/gr_app/__pycache__/__init__.cpython-310.pyc and b/gr_app/__pycache__/__init__.cpython-310.pyc differ
|
|
|
gr_app/__pycache__/__init__.cpython-311.pyc
ADDED
|
Binary file (188 Bytes). View file
|
|
|
gr_app/__pycache__/__init__.cpython-39.pyc
ADDED
|
Binary file (170 Bytes). View file
|
|
|
gr_app/__pycache__/args.cpython-310.pyc
CHANGED
|
Binary files a/gr_app/__pycache__/args.cpython-310.pyc and b/gr_app/__pycache__/args.cpython-310.pyc differ
|
|
|
gr_app/__pycache__/args.cpython-311.pyc
ADDED
|
Binary file (763 Bytes). View file
|
|
|
gr_app/__pycache__/helpers.cpython-310.pyc
ADDED
|
Binary file (397 Bytes). View file
|
|
|
gr_app/__pycache__/helpers.cpython-311.pyc
ADDED
|
Binary file (586 Bytes). View file
|
|
|
gr_app/args.py
CHANGED
|
@@ -2,6 +2,7 @@ block = {
|
|
| 2 |
'css':
|
| 3 |
'''
|
| 4 |
.demo_app_group {padding: 1rem !important; color:red}
|
|
|
|
| 5 |
|
| 6 |
.demo_app_text_center {text-align: center}
|
| 7 |
'''
|
|
@@ -13,4 +14,15 @@ df_forecast = {'height': 200}
|
|
| 13 |
file_upload_data = {'height': 80}
|
| 14 |
file_upload_model_data = {'height': 80}
|
| 15 |
|
| 16 |
-
slider_forecast_horizon = {
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
'css':
|
| 3 |
'''
|
| 4 |
.demo_app_group {padding: 1rem !important; color:red}
|
| 5 |
+
footer {visibility: hidden}
|
| 6 |
|
| 7 |
.demo_app_text_center {text-align: center}
|
| 8 |
'''
|
|
|
|
| 14 |
file_upload_data = {'height': 80}
|
| 15 |
file_upload_model_data = {'height': 80}
|
| 16 |
|
| 17 |
+
slider_forecast_horizon = {
|
| 18 |
+
'label': '',
|
| 19 |
+
'minimum': 1, 'step': 1, 'interactive': True}
|
| 20 |
+
|
| 21 |
+
dropdown_ts_data = {
|
| 22 |
+
'interactive': True,
|
| 23 |
+
'multiselect': True
|
| 24 |
+
}
|
| 25 |
+
|
| 26 |
+
dropdown_forecast = {
|
| 27 |
+
'interactive': True
|
| 28 |
+
}
|
gr_app/helpers.py
ADDED
|
@@ -0,0 +1,7 @@
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|
| 1 |
+
import pandas as pd
|
| 2 |
+
|
| 3 |
+
|
| 4 |
+
def reset_index(_df: pd.DataFrame):
|
| 5 |
+
df = _df.reset_index()
|
| 6 |
+
df['datetime'] = df['datetime'].dt.strftime('%Y-%m-%d')
|
| 7 |
+
return df
|
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notebooks/test.ipynb
CHANGED
|
@@ -43,12 +43,98 @@
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|
| 43 |
"metadata": {},
|
| 44 |
"outputs": [],
|
| 45 |
"source": [
|
| 46 |
-
"ts = pd.read_csv('../data/
|
| 47 |
]
|
| 48 |
},
|
| 49 |
{
|
| 50 |
"cell_type": "code",
|
| 51 |
-
"execution_count":
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"metadata": {},
|
| 53 |
"outputs": [
|
| 54 |
{
|
|
@@ -67,12 +153,12 @@
|
|
| 67 |
"# res = df.forecast(ts, 10, model='all', run_test=False, characteristic='fuzzy')\n",
|
| 68 |
"\n",
|
| 69 |
"# Step 2 - forecast\n",
|
| 70 |
-
"res = df.forecast(ts,
|
| 71 |
]
|
| 72 |
},
|
| 73 |
{
|
| 74 |
"cell_type": "code",
|
| 75 |
-
"execution_count":
|
| 76 |
"metadata": {},
|
| 77 |
"outputs": [
|
| 78 |
{
|
|
@@ -86,10 +172,9 @@
|
|
| 86 |
" '2023-07-16', '2023-07-23', '2023-07-30', '2023-08-06',\n",
|
| 87 |
" '2023-08-13', '2023-08-20', '2023-08-27', '2023-09-03',\n",
|
| 88 |
" '2023-09-10', '2023-09-17', '2023-09-24', '2023-10-01',\n",
|
| 89 |
-
" '2023-10-08', '2023-10-15'
|
| 90 |
-
" '2023-11-05', '2023-11-12'],\n",
|
| 91 |
" dtype='datetime64[ns]', freq='W-SUN'),\n",
|
| 92 |
-
" 'y': dict_values([0, 18, 12, 10, 12, 0, 11, 0, 11, 13, 0, 18, 12, 10, 12, 0, 11, 0, 11, 13, 0, 18, 12, 10, 12, 0
|
| 93 |
" 'raw': {'prediction_result': {'predicted_value': {'2023-04-24': 0,\n",
|
| 94 |
" '2023-04-25': 18,\n",
|
| 95 |
" '2023-04-26': 12,\n",
|
|
@@ -115,22 +200,18 @@
|
|
| 115 |
" '2023-05-16': 12,\n",
|
| 116 |
" '2023-05-17': 10,\n",
|
| 117 |
" '2023-05-18': 12,\n",
|
| 118 |
-
" '2023-05-19': 0,\n",
|
| 119 |
-
" '2023-05-20': 12,\n",
|
| 120 |
-
" '2023-05-21': 0,\n",
|
| 121 |
-
" '2023-05-22': 11,\n",
|
| 122 |
-
" '2023-05-23': 13},\n",
|
| 123 |
" 'interval_metrics': {'interval_rmse': 1.5164425186469757,\n",
|
| 124 |
" 'interval_mae': 0.9669727996291655,\n",
|
| 125 |
" 'interval_smape': 1.732136035567733},\n",
|
| 126 |
" 'quantity_metrics': {'quantity_rmse': 15.549524453161835,\n",
|
| 127 |
" 'quantity_mae': 9.35978138752326,\n",
|
| 128 |
" 'quantity_smape': 0.6888599339319311}},\n",
|
| 129 |
-
" 'request_timestamp': '2023-10-15 19:
|
| 130 |
" 'engine_code': 'Foretell_Pred_Prophet_Intermittent'}}]}"
|
| 131 |
]
|
| 132 |
},
|
| 133 |
-
"execution_count":
|
| 134 |
"metadata": {},
|
| 135 |
"output_type": "execute_result"
|
| 136 |
}
|
|
@@ -141,7 +222,7 @@
|
|
| 141 |
},
|
| 142 |
{
|
| 143 |
"cell_type": "code",
|
| 144 |
-
"execution_count":
|
| 145 |
"metadata": {},
|
| 146 |
"outputs": [
|
| 147 |
{
|
|
@@ -300,26 +381,6 @@
|
|
| 300 |
" <td>2023-10-15</td>\n",
|
| 301 |
" <td>0</td>\n",
|
| 302 |
" </tr>\n",
|
| 303 |
-
" <tr>\n",
|
| 304 |
-
" <th>26</th>\n",
|
| 305 |
-
" <td>2023-10-22</td>\n",
|
| 306 |
-
" <td>12</td>\n",
|
| 307 |
-
" </tr>\n",
|
| 308 |
-
" <tr>\n",
|
| 309 |
-
" <th>27</th>\n",
|
| 310 |
-
" <td>2023-10-29</td>\n",
|
| 311 |
-
" <td>0</td>\n",
|
| 312 |
-
" </tr>\n",
|
| 313 |
-
" <tr>\n",
|
| 314 |
-
" <th>28</th>\n",
|
| 315 |
-
" <td>2023-11-05</td>\n",
|
| 316 |
-
" <td>11</td>\n",
|
| 317 |
-
" </tr>\n",
|
| 318 |
-
" <tr>\n",
|
| 319 |
-
" <th>29</th>\n",
|
| 320 |
-
" <td>2023-11-12</td>\n",
|
| 321 |
-
" <td>13</td>\n",
|
| 322 |
-
" </tr>\n",
|
| 323 |
" </tbody>\n",
|
| 324 |
"</table>\n",
|
| 325 |
"</div>"
|
|
@@ -351,14 +412,10 @@
|
|
| 351 |
"22 2023-09-24 12\n",
|
| 352 |
"23 2023-10-01 10\n",
|
| 353 |
"24 2023-10-08 12\n",
|
| 354 |
-
"25 2023-10-15 0
|
| 355 |
-
"26 2023-10-22 12\n",
|
| 356 |
-
"27 2023-10-29 0\n",
|
| 357 |
-
"28 2023-11-05 11\n",
|
| 358 |
-
"29 2023-11-12 13"
|
| 359 |
]
|
| 360 |
},
|
| 361 |
-
"execution_count":
|
| 362 |
"metadata": {},
|
| 363 |
"output_type": "execute_result"
|
| 364 |
}
|
|
|
|
| 43 |
"metadata": {},
|
| 44 |
"outputs": [],
|
| 45 |
"source": [
|
| 46 |
+
"ts = pd.read_csv('../data/demand_forecasting_demo_models_10.csv')"
|
| 47 |
]
|
| 48 |
},
|
| 49 |
{
|
| 50 |
"cell_type": "code",
|
| 51 |
+
"execution_count": 9,
|
| 52 |
+
"metadata": {},
|
| 53 |
+
"outputs": [
|
| 54 |
+
{
|
| 55 |
+
"data": {
|
| 56 |
+
"text/html": [
|
| 57 |
+
"<div>\n",
|
| 58 |
+
"<style scoped>\n",
|
| 59 |
+
" .dataframe tbody tr th:only-of-type {\n",
|
| 60 |
+
" vertical-align: middle;\n",
|
| 61 |
+
" }\n",
|
| 62 |
+
"\n",
|
| 63 |
+
" .dataframe tbody tr th {\n",
|
| 64 |
+
" vertical-align: top;\n",
|
| 65 |
+
" }\n",
|
| 66 |
+
"\n",
|
| 67 |
+
" .dataframe thead th {\n",
|
| 68 |
+
" text-align: right;\n",
|
| 69 |
+
" }\n",
|
| 70 |
+
"</style>\n",
|
| 71 |
+
"<table border=\"1\" class=\"dataframe\">\n",
|
| 72 |
+
" <thead>\n",
|
| 73 |
+
" <tr style=\"text-align: right;\">\n",
|
| 74 |
+
" <th></th>\n",
|
| 75 |
+
" <th>sku</th>\n",
|
| 76 |
+
" <th>best_model</th>\n",
|
| 77 |
+
" <th>characteristic</th>\n",
|
| 78 |
+
" </tr>\n",
|
| 79 |
+
" </thead>\n",
|
| 80 |
+
" <tbody>\n",
|
| 81 |
+
" <tr>\n",
|
| 82 |
+
" <th>count</th>\n",
|
| 83 |
+
" <td>10</td>\n",
|
| 84 |
+
" <td>10</td>\n",
|
| 85 |
+
" <td>10</td>\n",
|
| 86 |
+
" </tr>\n",
|
| 87 |
+
" <tr>\n",
|
| 88 |
+
" <th>unique</th>\n",
|
| 89 |
+
" <td>10</td>\n",
|
| 90 |
+
" <td>4</td>\n",
|
| 91 |
+
" <td>3</td>\n",
|
| 92 |
+
" </tr>\n",
|
| 93 |
+
" <tr>\n",
|
| 94 |
+
" <th>top</th>\n",
|
| 95 |
+
" <td>sku-0</td>\n",
|
| 96 |
+
" <td>prophet_plus</td>\n",
|
| 97 |
+
" <td>fuzzy</td>\n",
|
| 98 |
+
" </tr>\n",
|
| 99 |
+
" <tr>\n",
|
| 100 |
+
" <th>freq</th>\n",
|
| 101 |
+
" <td>1</td>\n",
|
| 102 |
+
" <td>6</td>\n",
|
| 103 |
+
" <td>6</td>\n",
|
| 104 |
+
" </tr>\n",
|
| 105 |
+
" </tbody>\n",
|
| 106 |
+
"</table>\n",
|
| 107 |
+
"</div>"
|
| 108 |
+
],
|
| 109 |
+
"text/plain": [
|
| 110 |
+
" sku best_model characteristic\n",
|
| 111 |
+
"count 10 10 10\n",
|
| 112 |
+
"unique 10 4 3\n",
|
| 113 |
+
"top sku-0 prophet_plus fuzzy\n",
|
| 114 |
+
"freq 1 6 6"
|
| 115 |
+
]
|
| 116 |
+
},
|
| 117 |
+
"execution_count": 9,
|
| 118 |
+
"metadata": {},
|
| 119 |
+
"output_type": "execute_result"
|
| 120 |
+
}
|
| 121 |
+
],
|
| 122 |
+
"source": [
|
| 123 |
+
"ts.describe()"
|
| 124 |
+
]
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"cell_type": "code",
|
| 128 |
+
"execution_count": 6,
|
| 129 |
+
"metadata": {},
|
| 130 |
+
"outputs": [],
|
| 131 |
+
"source": [
|
| 132 |
+
"ts.to_csv('../data/demand_forecasting_demo_models_10.csv')"
|
| 133 |
+
]
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"cell_type": "code",
|
| 137 |
+
"execution_count": 5,
|
| 138 |
"metadata": {},
|
| 139 |
"outputs": [
|
| 140 |
{
|
|
|
|
| 153 |
"# res = df.forecast(ts, 10, model='all', run_test=False, characteristic='fuzzy')\n",
|
| 154 |
"\n",
|
| 155 |
"# Step 2 - forecast\n",
|
| 156 |
+
"res = df.forecast(ts, 26, model='prophet_plus', characteristic='fuzzy')"
|
| 157 |
]
|
| 158 |
},
|
| 159 |
{
|
| 160 |
"cell_type": "code",
|
| 161 |
+
"execution_count": 6,
|
| 162 |
"metadata": {},
|
| 163 |
"outputs": [
|
| 164 |
{
|
|
|
|
| 172 |
" '2023-07-16', '2023-07-23', '2023-07-30', '2023-08-06',\n",
|
| 173 |
" '2023-08-13', '2023-08-20', '2023-08-27', '2023-09-03',\n",
|
| 174 |
" '2023-09-10', '2023-09-17', '2023-09-24', '2023-10-01',\n",
|
| 175 |
+
" '2023-10-08', '2023-10-15'],\n",
|
|
|
|
| 176 |
" dtype='datetime64[ns]', freq='W-SUN'),\n",
|
| 177 |
+
" 'y': dict_values([0, 18, 12, 10, 12, 0, 11, 0, 11, 13, 0, 18, 12, 10, 12, 0, 11, 0, 11, 13, 0, 18, 12, 10, 12, 0])},\n",
|
| 178 |
" 'raw': {'prediction_result': {'predicted_value': {'2023-04-24': 0,\n",
|
| 179 |
" '2023-04-25': 18,\n",
|
| 180 |
" '2023-04-26': 12,\n",
|
|
|
|
| 200 |
" '2023-05-16': 12,\n",
|
| 201 |
" '2023-05-17': 10,\n",
|
| 202 |
" '2023-05-18': 12,\n",
|
| 203 |
+
" '2023-05-19': 0},\n",
|
|
|
|
|
|
|
|
|
|
|
|
|
| 204 |
" 'interval_metrics': {'interval_rmse': 1.5164425186469757,\n",
|
| 205 |
" 'interval_mae': 0.9669727996291655,\n",
|
| 206 |
" 'interval_smape': 1.732136035567733},\n",
|
| 207 |
" 'quantity_metrics': {'quantity_rmse': 15.549524453161835,\n",
|
| 208 |
" 'quantity_mae': 9.35978138752326,\n",
|
| 209 |
" 'quantity_smape': 0.6888599339319311}},\n",
|
| 210 |
+
" 'request_timestamp': '2023-10-15 19:33:44',\n",
|
| 211 |
" 'engine_code': 'Foretell_Pred_Prophet_Intermittent'}}]}"
|
| 212 |
]
|
| 213 |
},
|
| 214 |
+
"execution_count": 6,
|
| 215 |
"metadata": {},
|
| 216 |
"output_type": "execute_result"
|
| 217 |
}
|
|
|
|
| 222 |
},
|
| 223 |
{
|
| 224 |
"cell_type": "code",
|
| 225 |
+
"execution_count": 7,
|
| 226 |
"metadata": {},
|
| 227 |
"outputs": [
|
| 228 |
{
|
|
|
|
| 381 |
" <td>2023-10-15</td>\n",
|
| 382 |
" <td>0</td>\n",
|
| 383 |
" </tr>\n",
|
|
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|
| 384 |
" </tbody>\n",
|
| 385 |
"</table>\n",
|
| 386 |
"</div>"
|
|
|
|
| 412 |
"22 2023-09-24 12\n",
|
| 413 |
"23 2023-10-01 10\n",
|
| 414 |
"24 2023-10-08 12\n",
|
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+
"25 2023-10-15 0"
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| 416 |
]
|
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},
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+
"execution_count": 7,
|
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"metadata": {},
|
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"output_type": "execute_result"
|
| 421 |
}
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