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2021-11-04T10:53:26,393 Created temporary directory: /tmp/pip-pip-egg-info-1az5excb 2021-11-04T10:53:26,393 Running command python setup.py egg_info 2021-11-04T10:53:27,400 # MoBagel Decanter AI Core SDK 2021-11-04T10:53:27,401 [![PyPI version](https://badge.fury.io/py/decanter-ai-core-sdk.svg)](https://pypi.org/project/decanter-ai-core-sdk/) 2021-11-04T10:53:27,401 [![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://github.com/MoBagel/decanter-ai-core-sdk) 2021-11-04T10:53:27,401 [![GitHub Super-Linter](https://github.com/MoBagel/decanter-ai-core-sdk/workflows/Lint%20Code%20Base/badge.svg)](https://github.com/marketplace/actions/super-linter) 2021-11-04T10:53:27,402 Decanter AI is a powerful AutoML tool which enables everyone to build ML models and make predictions without data science background. With Decanter AI Core SDK, you can integrate Decanter AI into your application more easily with Python. 2021-11-04T10:53:27,402 It supports actions such as data uploading, model training, and prediction to run in a more efficient way and access results more easily. You can also use Decanter AI Core SDK in Jupyter Notebook for better visualization. 2021-11-04T10:53:27,402 To know more about Decanter AI and how you can be benefited with AutoML, visit [MoBagel website](https://mobagel.com/product/) and contact us to try it out! 2021-11-04T10:53:27,403 ## System Requirement 2021-11-04T10:53:27,403 * python3.7 2021-11-04T10:53:27,403 ## Install 2021-11-04T10:53:27,403 Install and update using pip: 2021-11-04T10:53:27,404 ```bash 2021-11-04T10:53:27,404 pip install decanter-ai-core-sdk 2021-11-04T10:53:27,404 ``` 2021-11-04T10:53:27,404 ## Basic Example: Upload Data 2021-11-04T10:53:27,404 ```python 2021-11-04T10:53:27,404 from decanter import core 2021-11-04T10:53:27,405 core.enable_default_logger() 2021-11-04T10:53:27,405 client = core.CoreClient(username=???, password=???, host=???) 2021-11-04T10:53:27,405 train_file = open(train_file_path, 'rb') 2021-11-04T10:53:27,405 train_data = client.upload(file=train_file, name="train") 2021-11-04T10:53:27,406 # in jupyter notebook just run the block 2021-11-04T10:53:27,406 # no need to call context.run() 2021-11-04T10:53:27,406 client.run() 2021-11-04T10:53:27,406 train_data.show() 2021-11-04T10:53:27,407 ``` 2021-11-04T10:53:27,407 ```bash 2021-11-04T10:53:27,407 $ python -m example.file 2021-11-04T10:53:27,407 15:50:09 [ INFO] [Context] no event loop to close 2021-11-04T10:53:27,407 15:50:09 [ INFO] [Context] connect healthy :) 2021-11-04T10:53:27,407 Progress UploadTask_train: 55%|█████████████████████████████████████████ 2021-11-04T10:53:27,408 ``` 2021-11-04T10:53:27,408 ## Example Dataset Path 2021-11-04T10:53:27,408 * `examples/data/` - store the general dataset 2021-11-04T10:53:27,408 * `examples/data/ts_data` - store the time series dataset 2021-11-04T10:53:27,409 ## Example Code 2021-11-04T10:53:27,409 * General Data 2021-11-04T10:53:27,409 * Python Script: [example.py](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/example.py) 2021-11-04T10:53:27,409 * Jupyter: [jupyter_example.ipynb](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/jupyter_example.ipynb) 2021-11-04T10:53:27,409 * Time Series Data 2021-11-04T10:53:27,409 * Python Script: [auto_time_series_example.py](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/auto_time_series_example.py) 2021-11-04T10:53:27,410 Note: 2021-11-04T10:53:27,410 Since Jupyter already have an event loop (asyncio), SDK will just use the current event loop. See more in [here](https://www.notion.so/API-615d2fba4e7f45c4b5fe63cc192e481f#bb4f0a4b2847450abc4f80b025469170). 2021-11-04T10:53:27,410 More details about asyncio in [learn asyncio](https://docs.python.org/3/library/asyncio.html) 2021-11-04T10:53:27,410 ```python 2021-11-04T10:53:27,410 import asyncio 2021-11-04T10:53:27,411 loop = asyncio.get_running_loop() 2021-11-04T10:53:27,411 loop.is_running() 2021-11-04T10:53:27,411 ``` 2021-11-04T10:53:27,411 ## Tutorial for Jupyter Notebook 2021-11-04T10:53:27,411 1. first you need to install jupyter lab: `pip install jupyterlab` 2021-11-04T10:53:27,412 2. this is required for progress bar to display correctly: `pip install ipywidgets` 2021-11-04T10:53:27,412 3. (optional, conda venv for jupyter notebook) `conda install nb_conda` 2021-11-04T10:53:27,412 4. `jupyter lab` 2021-11-04T10:53:27,412 * this should open your browser to jupyter lab page. 2021-11-04T10:53:27,412 * If you want to learn how to build ML models with Decanter AI, visit our [jupyter_example.ipynb](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/jupyter_example.ipynb) for step by step tutorial. 2021-11-04T10:53:27,412 * If you need to handle running tasks well, refer to our [jupyter_jobs_handle_example.ipynb](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/jupyter_jobs_handle_example.ipynb). 2021-11-04T10:53:27,413 ## Development Guide and Flow 2021-11-04T10:53:27,413 * If you are curious about why Decanter AI Core SDK does certain things the way it does and not differently, visit our [Development Guide](https://mobagel.github.io/decanter-ai-core-sdk/notes/design.html) 2021-11-04T10:53:27,413 ## Documentation 2021-11-04T10:53:27,414 To understand how we design Decanter AI Core SDK, `doc/` contains the complete documentation, including the design system, the use of each API, and the required dependencies to install. Refer to our [document page](https://mobagel.github.io/decanter-ai-core-sdk/index.html) to navigate the complete information. 2021-11-04T10:53:27,414 ## Contributing 2021-11-04T10:53:27,414 For guidance on setting up a development environment and how to make a contribution to Decanter AI Core SDK, see the [contributing guidelines](https://mobagel.github.io/decanter-ai-core-sdk/notes/contributing.html). 2021-11-04T10:53:27,415 ## Links 2021-11-04T10:53:27,415 For more details on design, guidance on setting up a development environment, and SDK usage. 2021-11-04T10:53:27,415 * Decanter AI Introduction: 2021-11-04T10:53:27,415 * Decanter AI SDK Introduction: 2021-11-04T10:53:27,415 * Code: 2021-11-04T10:53:27,415 * Installation: 2021-11-04T10:53:27,416 * API interface: 2021-11-04T10:53:27,416 running egg_info 2021-11-04T10:53:27,416 creating /tmp/pip-pip-egg-info-1az5excb/decanter_ai_core_sdk.egg-info 2021-11-04T10:53:27,416 writing /tmp/pip-pip-egg-info-1az5excb/decanter_ai_core_sdk.egg-info/PKG-INFO 2021-11-04T10:53:27,416 writing dependency_links to /tmp/pip-pip-egg-info-1az5excb/decanter_ai_core_sdk.egg-info/dependency_links.txt 2021-11-04T10:53:27,417 writing requirements to /tmp/pip-pip-egg-info-1az5excb/decanter_ai_core_sdk.egg-info/requires.txt 2021-11-04T10:53:27,417 writing top-level names to /tmp/pip-pip-egg-info-1az5excb/decanter_ai_core_sdk.egg-info/top_level.txt 2021-11-04T10:53:27,417 writing manifest file '/tmp/pip-pip-egg-info-1az5excb/decanter_ai_core_sdk.egg-info/SOURCES.txt' 2021-11-04T10:53:27,567 reading manifest file '/tmp/pip-pip-egg-info-1az5excb/decanter_ai_core_sdk.egg-info/SOURCES.txt' 2021-11-04T10:53:27,569 adding license file 'LICENSE' 2021-11-04T10:53:27,573 writing manifest file '/tmp/pip-pip-egg-info-1az5excb/decanter_ai_core_sdk.egg-info/SOURCES.txt' 2021-11-04T10:53:27,646 Source in /tmp/pip-wheel-j3jv_y7u/decanter-ai-core-sdk_d600aa34867e4da9b685f494ff71b8e6 has version 1.1.6, which satisfies requirement decanter-ai-core-sdk==1.1.6 from https://files.pythonhosted.org/packages/24/fb/041bb31de1e1c6853df279cfcc63740a0ae36131b07e308cd641a315669f/decanter-ai-core-sdk-1.1.6.tar.gz#sha256=b5edb0d349eb6e7239ded70048603a165de374a95dd0a1e409b177fd3e7977a9 2021-11-04T10:53:27,647 Removed decanter-ai-core-sdk==1.1.6 from https://files.pythonhosted.org/packages/24/fb/041bb31de1e1c6853df279cfcc63740a0ae36131b07e308cd641a315669f/decanter-ai-core-sdk-1.1.6.tar.gz#sha256=b5edb0d349eb6e7239ded70048603a165de374a95dd0a1e409b177fd3e7977a9 from build tracker '/tmp/pip-req-tracker-om0kf7mr' 2021-11-04T10:53:27,653 Created temporary directory: /tmp/pip-unpack-txvp5f12 2021-11-04T10:53:27,653 Building wheels for collected packages: decanter-ai-core-sdk 2021-11-04T10:53:27,657 Created temporary directory: /tmp/pip-wheel-ryqwc3vs 2021-11-04T10:53:27,658 Building wheel for decanter-ai-core-sdk (setup.py): started 2021-11-04T10:53:27,658 Destination directory: /tmp/pip-wheel-ryqwc3vs 2021-11-04T10:53:27,658 Running command /usr/bin/python3 -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-wheel-j3jv_y7u/decanter-ai-core-sdk_d600aa34867e4da9b685f494ff71b8e6/setup.py'"'"'; __file__='"'"'/tmp/pip-wheel-j3jv_y7u/decanter-ai-core-sdk_d600aa34867e4da9b685f494ff71b8e6/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d /tmp/pip-wheel-ryqwc3vs 2021-11-04T10:53:28,458 # MoBagel Decanter AI Core SDK 2021-11-04T10:53:28,459 [![PyPI version](https://badge.fury.io/py/decanter-ai-core-sdk.svg)](https://pypi.org/project/decanter-ai-core-sdk/) 2021-11-04T10:53:28,459 [![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://github.com/MoBagel/decanter-ai-core-sdk) 2021-11-04T10:53:28,459 [![GitHub Super-Linter](https://github.com/MoBagel/decanter-ai-core-sdk/workflows/Lint%20Code%20Base/badge.svg)](https://github.com/marketplace/actions/super-linter) 2021-11-04T10:53:28,460 Decanter AI is a powerful AutoML tool which enables everyone to build ML models and make predictions without data science background. With Decanter AI Core SDK, you can integrate Decanter AI into your application more easily with Python. 2021-11-04T10:53:28,460 It supports actions such as data uploading, model training, and prediction to run in a more efficient way and access results more easily. You can also use Decanter AI Core SDK in Jupyter Notebook for better visualization. 2021-11-04T10:53:28,461 To know more about Decanter AI and how you can be benefited with AutoML, visit [MoBagel website](https://mobagel.com/product/) and contact us to try it out! 2021-11-04T10:53:28,461 ## System Requirement 2021-11-04T10:53:28,461 * python3.7 2021-11-04T10:53:28,461 ## Install 2021-11-04T10:53:28,462 Install and update using pip: 2021-11-04T10:53:28,462 ```bash 2021-11-04T10:53:28,462 pip install decanter-ai-core-sdk 2021-11-04T10:53:28,462 ``` 2021-11-04T10:53:28,463 ## Basic Example: Upload Data 2021-11-04T10:53:28,463 ```python 2021-11-04T10:53:28,463 from decanter import core 2021-11-04T10:53:28,463 core.enable_default_logger() 2021-11-04T10:53:28,463 client = core.CoreClient(username=???, password=???, host=???) 2021-11-04T10:53:28,464 train_file = open(train_file_path, 'rb') 2021-11-04T10:53:28,464 train_data = client.upload(file=train_file, name="train") 2021-11-04T10:53:28,464 # in jupyter notebook just run the block 2021-11-04T10:53:28,464 # no need to call context.run() 2021-11-04T10:53:28,464 client.run() 2021-11-04T10:53:28,465 train_data.show() 2021-11-04T10:53:28,465 ``` 2021-11-04T10:53:28,465 ```bash 2021-11-04T10:53:28,465 $ python -m example.file 2021-11-04T10:53:28,465 15:50:09 [ INFO] [Context] no event loop to close 2021-11-04T10:53:28,465 15:50:09 [ INFO] [Context] connect healthy :) 2021-11-04T10:53:28,466 Progress UploadTask_train: 55%|█████████████████████████████████████████ 2021-11-04T10:53:28,466 ``` 2021-11-04T10:53:28,466 ## Example Dataset Path 2021-11-04T10:53:28,466 * `examples/data/` - store the general dataset 2021-11-04T10:53:28,466 * `examples/data/ts_data` - store the time series dataset 2021-11-04T10:53:28,467 ## Example Code 2021-11-04T10:53:28,467 * General Data 2021-11-04T10:53:28,467 * Python Script: [example.py](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/example.py) 2021-11-04T10:53:28,467 * Jupyter: [jupyter_example.ipynb](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/jupyter_example.ipynb) 2021-11-04T10:53:28,467 * Time Series Data 2021-11-04T10:53:28,467 * Python Script: [auto_time_series_example.py](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/auto_time_series_example.py) 2021-11-04T10:53:28,468 Note: 2021-11-04T10:53:28,468 Since Jupyter already have an event loop (asyncio), SDK will just use the current event loop. See more in [here](https://www.notion.so/API-615d2fba4e7f45c4b5fe63cc192e481f#bb4f0a4b2847450abc4f80b025469170). 2021-11-04T10:53:28,468 More details about asyncio in [learn asyncio](https://docs.python.org/3/library/asyncio.html) 2021-11-04T10:53:28,468 ```python 2021-11-04T10:53:28,468 import asyncio 2021-11-04T10:53:28,468 loop = asyncio.get_running_loop() 2021-11-04T10:53:28,469 loop.is_running() 2021-11-04T10:53:28,469 ``` 2021-11-04T10:53:28,469 ## Tutorial for Jupyter Notebook 2021-11-04T10:53:28,469 1. first you need to install jupyter lab: `pip install jupyterlab` 2021-11-04T10:53:28,469 2. this is required for progress bar to display correctly: `pip install ipywidgets` 2021-11-04T10:53:28,469 3. (optional, conda venv for jupyter notebook) `conda install nb_conda` 2021-11-04T10:53:28,470 4. `jupyter lab` 2021-11-04T10:53:28,470 * this should open your browser to jupyter lab page. 2021-11-04T10:53:28,470 * If you want to learn how to build ML models with Decanter AI, visit our [jupyter_example.ipynb](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/jupyter_example.ipynb) for step by step tutorial. 2021-11-04T10:53:28,470 * If you need to handle running tasks well, refer to our [jupyter_jobs_handle_example.ipynb](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/jupyter_jobs_handle_example.ipynb). 2021-11-04T10:53:28,471 ## Development Guide and Flow 2021-11-04T10:53:28,471 * If you are curious about why Decanter AI Core SDK does certain things the way it does and not differently, visit our [Development Guide](https://mobagel.github.io/decanter-ai-core-sdk/notes/design.html) 2021-11-04T10:53:28,471 ## Documentation 2021-11-04T10:53:28,471 To understand how we design Decanter AI Core SDK, `doc/` contains the complete documentation, including the design system, the use of each API, and the required dependencies to install. Refer to our [document page](https://mobagel.github.io/decanter-ai-core-sdk/index.html) to navigate the complete information. 2021-11-04T10:53:28,472 ## Contributing 2021-11-04T10:53:28,472 For guidance on setting up a development environment and how to make a contribution to Decanter AI Core SDK, see the [contributing guidelines](https://mobagel.github.io/decanter-ai-core-sdk/notes/contributing.html). 2021-11-04T10:53:28,472 ## Links 2021-11-04T10:53:28,473 For more details on design, guidance on setting up a development environment, and SDK usage. 2021-11-04T10:53:28,473 * Decanter AI Introduction: 2021-11-04T10:53:28,473 * Decanter AI SDK Introduction: 2021-11-04T10:53:28,473 * Code: 2021-11-04T10:53:28,473 * Installation: 2021-11-04T10:53:28,473 * API interface: 2021-11-04T10:53:28,666 running bdist_wheel 2021-11-04T10:53:28,671 running build 2021-11-04T10:53:28,671 running build_py 2021-11-04T10:53:28,796 creating build 2021-11-04T10:53:28,797 creating build/lib 2021-11-04T10:53:28,797 creating build/lib/decanter 2021-11-04T10:53:28,798 copying src/decanter/__init__.py -> build/lib/decanter 2021-11-04T10:53:28,801 creating build/lib/decanter/core 2021-11-04T10:53:28,801 copying src/decanter/core/__init__.py -> build/lib/decanter/core 2021-11-04T10:53:28,803 copying src/decanter/core/plot.py -> build/lib/decanter/core 2021-11-04T10:53:28,805 copying src/decanter/core/client.py -> build/lib/decanter/core 2021-11-04T10:53:28,808 copying src/decanter/core/context.py -> build/lib/decanter/core 2021-11-04T10:53:28,810 creating build/lib/decanter/core/extra 2021-11-04T10:53:28,811 copying src/decanter/core/extra/__init__.py -> build/lib/decanter/core/extra 2021-11-04T10:53:28,813 copying src/decanter/core/extra/utils.py -> build/lib/decanter/core/extra 2021-11-04T10:53:28,815 copying src/decanter/core/extra/decorators.py -> build/lib/decanter/core/extra 2021-11-04T10:53:28,817 copying src/decanter/core/extra/const.py -> build/lib/decanter/core/extra 2021-11-04T10:53:28,820 creating build/lib/decanter/core/jobs 2021-11-04T10:53:28,821 copying src/decanter/core/jobs/job.py -> build/lib/decanter/core/jobs 2021-11-04T10:53:28,824 copying src/decanter/core/jobs/__init__.py -> build/lib/decanter/core/jobs 2021-11-04T10:53:28,826 copying src/decanter/core/jobs/predict_result.py -> build/lib/decanter/core/jobs 2021-11-04T10:53:28,828 copying src/decanter/core/jobs/data_setup.py -> build/lib/decanter/core/jobs 2021-11-04T10:53:28,830 copying src/decanter/core/jobs/experiment.py -> build/lib/decanter/core/jobs 2021-11-04T10:53:28,833 copying src/decanter/core/jobs/task.py -> build/lib/decanter/core/jobs 2021-11-04T10:53:28,836 copying src/decanter/core/jobs/data_upload.py -> build/lib/decanter/core/jobs 2021-11-04T10:53:28,839 creating build/lib/decanter/core/enums 2021-11-04T10:53:28,840 copying src/decanter/core/enums/algorithms.py -> build/lib/decanter/core/enums 2021-11-04T10:53:28,842 copying src/decanter/core/enums/__init__.py -> build/lib/decanter/core/enums 2021-11-04T10:53:28,844 copying src/decanter/core/enums/numerical_group_by_methods.py -> build/lib/decanter/core/enums 2021-11-04T10:53:28,846 copying src/decanter/core/enums/categorical_group_by_method.py -> build/lib/decanter/core/enums 2021-11-04T10:53:28,848 copying src/decanter/core/enums/evaluators.py -> build/lib/decanter/core/enums 2021-11-04T10:53:28,850 copying src/decanter/core/enums/time_units.py -> build/lib/decanter/core/enums 2021-11-04T10:53:28,853 creating build/lib/decanter/core/core_api 2021-11-04T10:53:28,854 copying src/decanter/core/core_api/__init__.py -> build/lib/decanter/core/core_api 2021-11-04T10:53:28,856 copying src/decanter/core/core_api/setup_input.py -> build/lib/decanter/core/core_api 2021-11-04T10:53:28,858 copying src/decanter/core/core_api/api.py -> build/lib/decanter/core/core_api 2021-11-04T10:53:28,861 copying src/decanter/core/core_api/worker.py -> build/lib/decanter/core/core_api 2021-11-04T10:53:28,863 copying src/decanter/core/core_api/predict_input.py -> build/lib/decanter/core/core_api 2021-11-04T10:53:28,865 copying src/decanter/core/core_api/body_obj.py -> build/lib/decanter/core/core_api 2021-11-04T10:53:28,867 copying src/decanter/core/core_api/model.py -> build/lib/decanter/core/core_api 2021-11-04T10:53:28,870 copying src/decanter/core/core_api/train_input.py -> build/lib/decanter/core/core_api 2021-11-04T10:53:28,884 installing to build/bdist.linux-armv7l/wheel 2021-11-04T10:53:28,885 running install 2021-11-04T10:53:28,886 running install_lib 2021-11-04T10:53:28,891 creating build/bdist.linux-armv7l 2021-11-04T10:53:28,891 creating build/bdist.linux-armv7l/wheel 2021-11-04T10:53:28,893 creating build/bdist.linux-armv7l/wheel/decanter 2021-11-04T10:53:28,894 copying build/lib/decanter/__init__.py -> build/bdist.linux-armv7l/wheel/decanter 2021-11-04T10:53:28,896 creating build/bdist.linux-armv7l/wheel/decanter/core 2021-11-04T10:53:28,897 copying build/lib/decanter/core/__init__.py -> build/bdist.linux-armv7l/wheel/decanter/core 2021-11-04T10:53:28,900 creating build/bdist.linux-armv7l/wheel/decanter/core/extra 2021-11-04T10:53:28,900 copying build/lib/decanter/core/extra/__init__.py -> build/bdist.linux-armv7l/wheel/decanter/core/extra 2021-11-04T10:53:28,902 copying build/lib/decanter/core/extra/utils.py -> build/bdist.linux-armv7l/wheel/decanter/core/extra 2021-11-04T10:53:28,904 copying build/lib/decanter/core/extra/decorators.py -> build/bdist.linux-armv7l/wheel/decanter/core/extra 2021-11-04T10:53:28,906 copying build/lib/decanter/core/extra/const.py -> build/bdist.linux-armv7l/wheel/decanter/core/extra 2021-11-04T10:53:28,908 creating build/bdist.linux-armv7l/wheel/decanter/core/jobs 2021-11-04T10:53:28,909 copying build/lib/decanter/core/jobs/job.py -> build/bdist.linux-armv7l/wheel/decanter/core/jobs 2021-11-04T10:53:28,912 copying build/lib/decanter/core/jobs/__init__.py -> build/bdist.linux-armv7l/wheel/decanter/core/jobs 2021-11-04T10:53:28,913 copying build/lib/decanter/core/jobs/predict_result.py -> build/bdist.linux-armv7l/wheel/decanter/core/jobs 2021-11-04T10:53:28,916 copying build/lib/decanter/core/jobs/data_setup.py -> build/bdist.linux-armv7l/wheel/decanter/core/jobs 2021-11-04T10:53:28,918 copying build/lib/decanter/core/jobs/experiment.py -> build/bdist.linux-armv7l/wheel/decanter/core/jobs 2021-11-04T10:53:28,921 copying build/lib/decanter/core/jobs/task.py -> build/bdist.linux-armv7l/wheel/decanter/core/jobs 2021-11-04T10:53:28,924 copying build/lib/decanter/core/jobs/data_upload.py -> build/bdist.linux-armv7l/wheel/decanter/core/jobs 2021-11-04T10:53:28,927 creating build/bdist.linux-armv7l/wheel/decanter/core/enums 2021-11-04T10:53:28,928 copying build/lib/decanter/core/enums/algorithms.py -> build/bdist.linux-armv7l/wheel/decanter/core/enums 2021-11-04T10:53:28,930 copying build/lib/decanter/core/enums/__init__.py -> build/bdist.linux-armv7l/wheel/decanter/core/enums 2021-11-04T10:53:28,932 copying build/lib/decanter/core/enums/numerical_group_by_methods.py -> build/bdist.linux-armv7l/wheel/decanter/core/enums 2021-11-04T10:53:28,934 copying build/lib/decanter/core/enums/categorical_group_by_method.py -> build/bdist.linux-armv7l/wheel/decanter/core/enums 2021-11-04T10:53:28,936 copying build/lib/decanter/core/enums/evaluators.py -> build/bdist.linux-armv7l/wheel/decanter/core/enums 2021-11-04T10:53:28,938 copying build/lib/decanter/core/enums/time_units.py -> build/bdist.linux-armv7l/wheel/decanter/core/enums 2021-11-04T10:53:28,940 copying build/lib/decanter/core/plot.py -> build/bdist.linux-armv7l/wheel/decanter/core 2021-11-04T10:53:28,942 copying build/lib/decanter/core/client.py -> build/bdist.linux-armv7l/wheel/decanter/core 2021-11-04T10:53:28,946 creating build/bdist.linux-armv7l/wheel/decanter/core/core_api 2021-11-04T10:53:28,947 copying build/lib/decanter/core/core_api/__init__.py -> build/bdist.linux-armv7l/wheel/decanter/core/core_api 2021-11-04T10:53:28,949 copying build/lib/decanter/core/core_api/setup_input.py -> build/bdist.linux-armv7l/wheel/decanter/core/core_api 2021-11-04T10:53:28,951 copying build/lib/decanter/core/core_api/api.py -> build/bdist.linux-armv7l/wheel/decanter/core/core_api 2021-11-04T10:53:28,954 copying build/lib/decanter/core/core_api/worker.py -> build/bdist.linux-armv7l/wheel/decanter/core/core_api 2021-11-04T10:53:28,956 copying build/lib/decanter/core/core_api/predict_input.py -> build/bdist.linux-armv7l/wheel/decanter/core/core_api 2021-11-04T10:53:28,958 copying build/lib/decanter/core/core_api/body_obj.py -> build/bdist.linux-armv7l/wheel/decanter/core/core_api 2021-11-04T10:53:28,961 copying build/lib/decanter/core/core_api/model.py -> build/bdist.linux-armv7l/wheel/decanter/core/core_api 2021-11-04T10:53:28,964 copying build/lib/decanter/core/core_api/train_input.py -> build/bdist.linux-armv7l/wheel/decanter/core/core_api 2021-11-04T10:53:28,966 copying build/lib/decanter/core/context.py -> build/bdist.linux-armv7l/wheel/decanter/core 2021-11-04T10:53:28,969 running install_egg_info 2021-11-04T10:53:28,991 running egg_info 2021-11-04T10:53:28,992 writing src/decanter_ai_core_sdk.egg-info/PKG-INFO 2021-11-04T10:53:28,995 writing dependency_links to src/decanter_ai_core_sdk.egg-info/dependency_links.txt 2021-11-04T10:53:28,997 writing requirements to src/decanter_ai_core_sdk.egg-info/requires.txt 2021-11-04T10:53:28,998 writing top-level names to src/decanter_ai_core_sdk.egg-info/top_level.txt 2021-11-04T10:53:29,020 reading manifest file 'src/decanter_ai_core_sdk.egg-info/SOURCES.txt' 2021-11-04T10:53:29,025 adding license file 'LICENSE' 2021-11-04T10:53:29,031 writing manifest file 'src/decanter_ai_core_sdk.egg-info/SOURCES.txt' 2021-11-04T10:53:29,033 Copying src/decanter_ai_core_sdk.egg-info to build/bdist.linux-armv7l/wheel/decanter_ai_core_sdk-1.1.6-py3.7.egg-info 2021-11-04T10:53:29,045 running install_scripts 2021-11-04T10:53:29,130 adding license file "LICENSE" (matched pattern "LICEN[CS]E*") 2021-11-04T10:53:29,135 creating build/bdist.linux-armv7l/wheel/decanter_ai_core_sdk-1.1.6.dist-info/WHEEL 2021-11-04T10:53:29,137 creating '/tmp/pip-wheel-ryqwc3vs/decanter_ai_core_sdk-1.1.6-py3-none-any.whl' and adding 'build/bdist.linux-armv7l/wheel' to it 2021-11-04T10:53:29,140 adding 'decanter/__init__.py' 2021-11-04T10:53:29,141 adding 'decanter/core/__init__.py' 2021-11-04T10:53:29,143 adding 'decanter/core/client.py' 2021-11-04T10:53:29,145 adding 'decanter/core/context.py' 2021-11-04T10:53:29,146 adding 'decanter/core/plot.py' 2021-11-04T10:53:29,148 adding 'decanter/core/core_api/__init__.py' 2021-11-04T10:53:29,150 adding 'decanter/core/core_api/api.py' 2021-11-04T10:53:29,151 adding 'decanter/core/core_api/body_obj.py' 2021-11-04T10:53:29,153 adding 'decanter/core/core_api/model.py' 2021-11-04T10:53:29,155 adding 'decanter/core/core_api/predict_input.py' 2021-11-04T10:53:29,156 adding 'decanter/core/core_api/setup_input.py' 2021-11-04T10:53:29,158 adding 'decanter/core/core_api/train_input.py' 2021-11-04T10:53:29,159 adding 'decanter/core/core_api/worker.py' 2021-11-04T10:53:29,161 adding 'decanter/core/enums/__init__.py' 2021-11-04T10:53:29,162 adding 'decanter/core/enums/algorithms.py' 2021-11-04T10:53:29,163 adding 'decanter/core/enums/categorical_group_by_method.py' 2021-11-04T10:53:29,165 adding 'decanter/core/enums/evaluators.py' 2021-11-04T10:53:29,166 adding 'decanter/core/enums/numerical_group_by_methods.py' 2021-11-04T10:53:29,167 adding 'decanter/core/enums/time_units.py' 2021-11-04T10:53:29,168 adding 'decanter/core/extra/__init__.py' 2021-11-04T10:53:29,169 adding 'decanter/core/extra/const.py' 2021-11-04T10:53:29,171 adding 'decanter/core/extra/decorators.py' 2021-11-04T10:53:29,172 adding 'decanter/core/extra/utils.py' 2021-11-04T10:53:29,174 adding 'decanter/core/jobs/__init__.py' 2021-11-04T10:53:29,175 adding 'decanter/core/jobs/data_setup.py' 2021-11-04T10:53:29,176 adding 'decanter/core/jobs/data_upload.py' 2021-11-04T10:53:29,178 adding 'decanter/core/jobs/experiment.py' 2021-11-04T10:53:29,180 adding 'decanter/core/jobs/job.py' 2021-11-04T10:53:29,181 adding 'decanter/core/jobs/predict_result.py' 2021-11-04T10:53:29,183 adding 'decanter/core/jobs/task.py' 2021-11-04T10:53:29,185 adding 'decanter_ai_core_sdk-1.1.6.dist-info/LICENSE' 2021-11-04T10:53:29,187 adding 'decanter_ai_core_sdk-1.1.6.dist-info/METADATA' 2021-11-04T10:53:29,188 adding 'decanter_ai_core_sdk-1.1.6.dist-info/WHEEL' 2021-11-04T10:53:29,188 adding 'decanter_ai_core_sdk-1.1.6.dist-info/top_level.txt' 2021-11-04T10:53:29,189 adding 'decanter_ai_core_sdk-1.1.6.dist-info/RECORD' 2021-11-04T10:53:29,192 removing build/bdist.linux-armv7l/wheel 2021-11-04T10:53:29,278 Building wheel for decanter-ai-core-sdk (setup.py): finished with status 'done' 2021-11-04T10:53:29,281 Created wheel for decanter-ai-core-sdk: filename=decanter_ai_core_sdk-1.1.6-py3-none-any.whl size=41034 sha256=093a701a5f84f76fdc2e1474f5e4f046ef6275f3994efc2ac2b86df703d5e2fd 2021-11-04T10:53:29,281 Stored in directory: /tmp/pip-ephem-wheel-cache-ympaz4z3/wheels/22/31/3b/f8a8217f0c2f2f6fba26cff15062124bd418e133e290ecfd9a 2021-11-04T10:53:29,291 Successfully built decanter-ai-core-sdk 2021-11-04T10:53:29,295 Removed build tracker: '/tmp/pip-req-tracker-om0kf7mr'