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laboratory
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16
README.md
16
README.md
@ -15,3 +15,19 @@
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Продажи домов в округе Кинг
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Ссылка на датасет: [House Sales](https://www.kaggle.com/datasets/harlfoxem/housesalesprediction).
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# Для лабораторной работы 2
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Выбраны следующие три датасета
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Цены на бриллианты
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Ссылка на датасет: [Diamonds Prices](https://www.kaggle.com/datasets/nancyalaswad90/diamonds-prices).
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Цены на ноутбуки
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Ссылка на датасет: [Laptop Price](https://www.kaggle.com/datasets/muhammetvarl/laptop-price).
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Зарплаты сотрудникам DataScientist
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Ссылка на датасет: [Data Scientists Salary](https://www.kaggle.com/datasets/henryshan/2023-data-scientists-salary?resource=download).
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3061
laboratory_2/lab2.ipynb
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3061
laboratory_2/lab2.ipynb
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40
laboratory_2/requirements.txt
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40
laboratory_2/requirements.txt
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asttokens==2.4.1
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colorama==0.4.6
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comm==0.2.2
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contourpy==1.3.0
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cycler==0.12.1
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debugpy==1.8.5
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decorator==5.1.1
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executing==2.1.0
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fonttools==4.53.1
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ipykernel==6.29.5
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ipython==8.27.0
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jedi==0.19.1
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jupyter_client==8.6.3
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jupyter_core==5.7.2
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kiwisolver==1.4.7
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matplotlib==3.9.2
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matplotlib-inline==0.1.7
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nest-asyncio==1.6.0
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numpy==2.1.1
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packaging==24.1
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pandas==2.2.2
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parso==0.8.4
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pillow==10.4.0
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platformdirs==4.3.6
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prompt_toolkit==3.0.47
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psutil==6.0.0
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pure_eval==0.2.3
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Pygments==2.18.0
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pyparsing==3.1.4
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python-dateutil==2.9.0.post0
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pytz==2024.2
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pywin32==306
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pyzmq==26.2.0
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seaborn==0.13.2
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six==1.16.0
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stack-data==0.6.3
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tornado==6.4.1
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traitlets==5.14.3
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tzdata==2024.1
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wcwidth==0.2.13
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1369
laboratory_3/lab3.ipynb
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1369
laboratory_3/lab3.ipynb
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laboratory_3/requirements.txt
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laboratory_3/requirements.txt
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asttokens==2.4.1
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colorama==0.4.6
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comm==0.2.2
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contourpy==1.3.0
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cycler==0.12.1
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debugpy==1.8.5
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decorator==5.1.1
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executing==2.1.0
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fonttools==4.53.1
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ipykernel==6.29.5
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ipython==8.27.0
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jedi==0.19.1
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jupyter_client==8.6.3
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jupyter_core==5.7.2
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kiwisolver==1.4.7
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matplotlib==3.9.2
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matplotlib-inline==0.1.7
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nest-asyncio==1.6.0
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numpy==2.1.1
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packaging==24.1
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pandas==2.2.2
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parso==0.8.4
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pillow==10.4.0
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platformdirs==4.3.6
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prompt_toolkit==3.0.47
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psutil==6.0.0
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pure_eval==0.2.3
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Pygments==2.18.0
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pyparsing==3.1.4
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python-dateutil==2.9.0.post0
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pytz==2024.2
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pywin32==306
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pyzmq==26.2.0
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seaborn==0.13.2
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six==1.16.0
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stack-data==0.6.3
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tornado==6.4.1
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traitlets==5.14.3
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tzdata==2024.1
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wcwidth==0.2.13
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5712
laboratory_4/lab4.ipynb
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5712
laboratory_4/lab4.ipynb
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laboratory_4/requirements.txt
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laboratory_4/requirements.txt
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asttokens==2.4.1
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colorama==0.4.6
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comm==0.2.2
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contourpy==1.3.0
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cycler==0.12.1
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debugpy==1.8.5
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decorator==5.1.1
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executing==2.1.0
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fonttools==4.53.1
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ipykernel==6.29.5
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ipython==8.27.0
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jedi==0.19.1
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jupyter_client==8.6.3
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jupyter_core==5.7.2
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kiwisolver==1.4.7
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matplotlib==3.9.2
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matplotlib-inline==0.1.7
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nest-asyncio==1.6.0
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numpy==2.1.1
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packaging==24.1
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pandas==2.2.2
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parso==0.8.4
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pillow==10.4.0
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platformdirs==4.3.6
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prompt_toolkit==3.0.47
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psutil==6.0.0
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pure_eval==0.2.3
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Pygments==2.18.0
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pyparsing==3.1.4
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python-dateutil==2.9.0.post0
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pytz==2024.2
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pywin32==306
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pyzmq==26.2.0
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seaborn==0.13.2
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six==1.16.0
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stack-data==0.6.3
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tornado==6.4.1
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traitlets==5.14.3
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tzdata==2024.1
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wcwidth==0.2.13
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1377
laboratory_5/lab5.ipynb
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1377
laboratory_5/lab5.ipynb
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40
laboratory_5/requirements.txt
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40
laboratory_5/requirements.txt
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asttokens==2.4.1
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colorama==0.4.6
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comm==0.2.2
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contourpy==1.3.0
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cycler==0.12.1
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debugpy==1.8.5
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decorator==5.1.1
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executing==2.1.0
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fonttools==4.53.1
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ipykernel==6.29.5
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ipython==8.27.0
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jedi==0.19.1
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jupyter_client==8.6.3
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jupyter_core==5.7.2
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kiwisolver==1.4.7
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matplotlib==3.9.2
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matplotlib-inline==0.1.7
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nest-asyncio==1.6.0
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numpy==2.1.1
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packaging==24.1
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pandas==2.2.2
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parso==0.8.4
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pillow==10.4.0
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platformdirs==4.3.6
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prompt_toolkit==3.0.47
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psutil==6.0.0
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pure_eval==0.2.3
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Pygments==2.18.0
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pyparsing==3.1.4
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python-dateutil==2.9.0.post0
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pytz==2024.2
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pywin32==306
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pyzmq==26.2.0
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seaborn==0.13.2
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six==1.16.0
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stack-data==0.6.3
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tornado==6.4.1
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traitlets==5.14.3
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tzdata==2024.1
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wcwidth==0.2.13
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53944
static/csv/diamonds_prices2022.csv
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53944
static/csv/diamonds_prices2022.csv
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3756
static/csv/ds_salaries.csv
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3756
static/csv/ds_salaries.csv
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1276
static/csv/laptop_prices.csv
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1276
static/csv/laptop_prices.csv
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