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(path:/tmp/pip-wheel-ja2vital/decanter-ai-core-sdk_d2289c5b612e4a0c9d6318841a127e1d/setup.py) egg_info for package decanter-ai-core-sdk 2022-01-03T07:16:00,304 Created temporary directory: /tmp/pip-pip-egg-info-4eprcgrk 2022-01-03T07:16:00,305 Preparing metadata (setup.py): started 2022-01-03T07:16:00,305 Running command python setup.py egg_info 2022-01-03T07:16:02,181 # MoBagel Decanter AI Core SDK 2022-01-03T07:16:02,182 [![PyPI version](https://badge.fury.io/py/decanter-ai-core-sdk.svg)](https://pypi.org/project/decanter-ai-core-sdk/) 2022-01-03T07:16:02,183 [![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://github.com/MoBagel/decanter-ai-core-sdk) 2022-01-03T07:16:02,183 [![GitHub Super-Linter](https://github.com/MoBagel/decanter-ai-core-sdk/workflows/Lint%20Code%20Base/badge.svg)](https://github.com/marketplace/actions/super-linter) 2022-01-03T07:16:02,184 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. 2022-01-03T07:16:02,184 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. 2022-01-03T07:16:02,185 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! 2022-01-03T07:16:02,186 ## System Requirement 2022-01-03T07:16:02,186 * python3.7 2022-01-03T07:16:02,187 ## Install 2022-01-03T07:16:02,187 Install and update using pip: 2022-01-03T07:16:02,187 ```bash 2022-01-03T07:16:02,188 pip install decanter-ai-core-sdk 2022-01-03T07:16:02,188 ``` 2022-01-03T07:16:02,189 ## Basic Example: Upload Data 2022-01-03T07:16:02,189 ```python 2022-01-03T07:16:02,190 from decanter import core 2022-01-03T07:16:02,190 core.enable_default_logger() 2022-01-03T07:16:02,190 client = core.CoreClient(username=???, password=???, host=???) 2022-01-03T07:16:02,191 train_file = open(train_file_path, 'rb') 2022-01-03T07:16:02,191 train_data = client.upload(file=train_file, name="train") 2022-01-03T07:16:02,192 # in jupyter notebook just run the block 2022-01-03T07:16:02,192 # no need to call context.run() 2022-01-03T07:16:02,193 client.run() 2022-01-03T07:16:02,193 train_data.show() 2022-01-03T07:16:02,193 ``` 2022-01-03T07:16:02,194 ```bash 2022-01-03T07:16:02,194 $ python -m example.file 2022-01-03T07:16:02,195 15:50:09 [ INFO] [Context] no event loop to close 2022-01-03T07:16:02,195 15:50:09 [ INFO] [Context] connect healthy :) 2022-01-03T07:16:02,195 Progress UploadTask_train: 55%|█████████████████████████████████████████ 2022-01-03T07:16:02,195 ``` 2022-01-03T07:16:02,196 ## Example Dataset Path 2022-01-03T07:16:02,196 * `examples/data/` - store the general dataset 2022-01-03T07:16:02,197 * `examples/data/ts_data` - store the time series dataset 2022-01-03T07:16:02,198 ## Example Code 2022-01-03T07:16:02,198 * General Data 2022-01-03T07:16:02,198 * Python Script: [example.py](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/example.py) 2022-01-03T07:16:02,199 * Jupyter: [jupyter_example.ipynb](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/jupyter_example.ipynb) 2022-01-03T07:16:02,199 * Time Series Data 2022-01-03T07:16:02,199 * Python Script: [auto_time_series_example.py](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/auto_time_series_example.py) 2022-01-03T07:16:02,200 Note: 2022-01-03T07:16:02,200 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). 2022-01-03T07:16:02,200 More details about asyncio in [learn asyncio](https://docs.python.org/3/library/asyncio.html) 2022-01-03T07:16:02,201 ```python 2022-01-03T07:16:02,201 import asyncio 2022-01-03T07:16:02,201 loop = asyncio.get_running_loop() 2022-01-03T07:16:02,202 loop.is_running() 2022-01-03T07:16:02,202 ``` 2022-01-03T07:16:02,202 ## Tutorial for Jupyter Notebook 2022-01-03T07:16:02,203 1. first you need to install jupyter lab: `pip install jupyterlab` 2022-01-03T07:16:02,203 2. this is required for progress bar to display correctly: `pip install ipywidgets` 2022-01-03T07:16:02,203 3. (optional, conda venv for jupyter notebook) `conda install nb_conda` 2022-01-03T07:16:02,204 4. `jupyter lab` 2022-01-03T07:16:02,204 * this should open your browser to jupyter lab page. 2022-01-03T07:16:02,204 * 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. 2022-01-03T07:16:02,204 * 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). 2022-01-03T07:16:02,205 ## Development Guide and Flow 2022-01-03T07:16:02,206 * 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) 2022-01-03T07:16:02,207 ## Documentation 2022-01-03T07:16:02,207 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. 2022-01-03T07:16:02,208 ## Contributing 2022-01-03T07:16:02,208 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). 2022-01-03T07:16:02,209 ## Links 2022-01-03T07:16:02,209 For more details on design, guidance on setting up a development environment, and SDK usage. 2022-01-03T07:16:02,210 * Decanter AI Introduction: 2022-01-03T07:16:02,210 * Decanter AI SDK Introduction: 2022-01-03T07:16:02,210 * Code: 2022-01-03T07:16:02,211 * Installation: 2022-01-03T07:16:02,211 * API interface: 2022-01-03T07:16:02,211 running egg_info 2022-01-03T07:16:02,212 creating /tmp/pip-pip-egg-info-4eprcgrk/decanter_ai_core_sdk.egg-info 2022-01-03T07:16:02,212 writing /tmp/pip-pip-egg-info-4eprcgrk/decanter_ai_core_sdk.egg-info/PKG-INFO 2022-01-03T07:16:02,212 writing dependency_links to /tmp/pip-pip-egg-info-4eprcgrk/decanter_ai_core_sdk.egg-info/dependency_links.txt 2022-01-03T07:16:02,213 writing requirements to /tmp/pip-pip-egg-info-4eprcgrk/decanter_ai_core_sdk.egg-info/requires.txt 2022-01-03T07:16:02,213 writing top-level names to /tmp/pip-pip-egg-info-4eprcgrk/decanter_ai_core_sdk.egg-info/top_level.txt 2022-01-03T07:16:02,213 writing manifest file '/tmp/pip-pip-egg-info-4eprcgrk/decanter_ai_core_sdk.egg-info/SOURCES.txt' 2022-01-03T07:16:02,229 reading manifest file '/tmp/pip-pip-egg-info-4eprcgrk/decanter_ai_core_sdk.egg-info/SOURCES.txt' 2022-01-03T07:16:02,239 writing manifest file '/tmp/pip-pip-egg-info-4eprcgrk/decanter_ai_core_sdk.egg-info/SOURCES.txt' 2022-01-03T07:16:02,340 Preparing metadata (setup.py): finished with status 'done' 2022-01-03T07:16:02,349 Source in /tmp/pip-wheel-ja2vital/decanter-ai-core-sdk_d2289c5b612e4a0c9d6318841a127e1d has version 1.1.8, which satisfies requirement decanter-ai-core-sdk==1.1.8 from https://files.pythonhosted.org/packages/32/9a/f4c4654163c0e30b6597acfb25f95c7b65786e398afa1eef25984190ec60/decanter-ai-core-sdk-1.1.8.tar.gz#sha256=80366baf4783df7948deba4df86b655570c9ebda0a891b42d81c217b83c211a2 2022-01-03T07:16:02,351 Removed decanter-ai-core-sdk==1.1.8 from https://files.pythonhosted.org/packages/32/9a/f4c4654163c0e30b6597acfb25f95c7b65786e398afa1eef25984190ec60/decanter-ai-core-sdk-1.1.8.tar.gz#sha256=80366baf4783df7948deba4df86b655570c9ebda0a891b42d81c217b83c211a2 from build tracker '/tmp/pip-req-tracker-wh9kxe7h' 2022-01-03T07:16:02,364 Created temporary directory: /tmp/pip-unpack-yqfp0i5e 2022-01-03T07:16:02,365 Building wheels for collected packages: decanter-ai-core-sdk 2022-01-03T07:16:02,373 Created temporary directory: /tmp/pip-wheel-k40_pgy_ 2022-01-03T07:16:02,373 Building wheel for decanter-ai-core-sdk (setup.py): started 2022-01-03T07:16:02,374 Destination directory: /tmp/pip-wheel-k40_pgy_ 2022-01-03T07:16:02,374 Running command /usr/bin/python3 -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-wheel-ja2vital/decanter-ai-core-sdk_d2289c5b612e4a0c9d6318841a127e1d/setup.py'"'"'; __file__='"'"'/tmp/pip-wheel-ja2vital/decanter-ai-core-sdk_d2289c5b612e4a0c9d6318841a127e1d/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-k40_pgy_ 2022-01-03T07:16:03,859 # MoBagel Decanter AI Core SDK 2022-01-03T07:16:03,860 [![PyPI version](https://badge.fury.io/py/decanter-ai-core-sdk.svg)](https://pypi.org/project/decanter-ai-core-sdk/) 2022-01-03T07:16:03,861 [![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://github.com/MoBagel/decanter-ai-core-sdk) 2022-01-03T07:16:03,861 [![GitHub Super-Linter](https://github.com/MoBagel/decanter-ai-core-sdk/workflows/Lint%20Code%20Base/badge.svg)](https://github.com/marketplace/actions/super-linter) 2022-01-03T07:16:03,862 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. 2022-01-03T07:16:03,862 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. 2022-01-03T07:16:03,863 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! 2022-01-03T07:16:03,864 ## System Requirement 2022-01-03T07:16:03,864 * python3.7 2022-01-03T07:16:03,865 ## Install 2022-01-03T07:16:03,865 Install and update using pip: 2022-01-03T07:16:03,866 ```bash 2022-01-03T07:16:03,866 pip install decanter-ai-core-sdk 2022-01-03T07:16:03,866 ``` 2022-01-03T07:16:03,867 ## Basic Example: Upload Data 2022-01-03T07:16:03,867 ```python 2022-01-03T07:16:03,868 from decanter import core 2022-01-03T07:16:03,868 core.enable_default_logger() 2022-01-03T07:16:03,869 client = core.CoreClient(username=???, password=???, host=???) 2022-01-03T07:16:03,869 train_file = open(train_file_path, 'rb') 2022-01-03T07:16:03,869 train_data = client.upload(file=train_file, name="train") 2022-01-03T07:16:03,870 # in jupyter notebook just run the block 2022-01-03T07:16:03,870 # no need to call context.run() 2022-01-03T07:16:03,871 client.run() 2022-01-03T07:16:03,871 train_data.show() 2022-01-03T07:16:03,871 ``` 2022-01-03T07:16:03,872 ```bash 2022-01-03T07:16:03,872 $ python -m example.file 2022-01-03T07:16:03,873 15:50:09 [ INFO] [Context] no event loop to close 2022-01-03T07:16:03,873 15:50:09 [ INFO] [Context] connect healthy :) 2022-01-03T07:16:03,873 Progress UploadTask_train: 55%|█████████████████████████████████████████ 2022-01-03T07:16:03,874 ``` 2022-01-03T07:16:03,874 ## Example Dataset Path 2022-01-03T07:16:03,874 * `examples/data/` - store the general dataset 2022-01-03T07:16:03,875 * `examples/data/ts_data` - store the time series dataset 2022-01-03T07:16:03,875 ## Example Code 2022-01-03T07:16:03,876 * General Data 2022-01-03T07:16:03,876 * Python Script: [example.py](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/example.py) 2022-01-03T07:16:03,876 * Jupyter: [jupyter_example.ipynb](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/jupyter_example.ipynb) 2022-01-03T07:16:03,877 * Time Series Data 2022-01-03T07:16:03,877 * Python Script: [auto_time_series_example.py](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/auto_time_series_example.py) 2022-01-03T07:16:03,878 Note: 2022-01-03T07:16:03,878 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). 2022-01-03T07:16:03,878 More details about asyncio in [learn asyncio](https://docs.python.org/3/library/asyncio.html) 2022-01-03T07:16:03,878 ```python 2022-01-03T07:16:03,879 import asyncio 2022-01-03T07:16:03,879 loop = asyncio.get_running_loop() 2022-01-03T07:16:03,879 loop.is_running() 2022-01-03T07:16:03,879 ``` 2022-01-03T07:16:03,880 ## Tutorial for Jupyter Notebook 2022-01-03T07:16:03,880 1. first you need to install jupyter lab: `pip install jupyterlab` 2022-01-03T07:16:03,881 2. this is required for progress bar to display correctly: `pip install ipywidgets` 2022-01-03T07:16:03,881 3. (optional, conda venv for jupyter notebook) `conda install nb_conda` 2022-01-03T07:16:03,881 4. `jupyter lab` 2022-01-03T07:16:03,881 * this should open your browser to jupyter lab page. 2022-01-03T07:16:03,882 * 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. 2022-01-03T07:16:03,882 * 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). 2022-01-03T07:16:03,883 ## Development Guide and Flow 2022-01-03T07:16:03,883 * 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) 2022-01-03T07:16:03,884 ## Documentation 2022-01-03T07:16:03,884 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. 2022-01-03T07:16:03,885 ## Contributing 2022-01-03T07:16:03,885 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). 2022-01-03T07:16:03,886 ## Links 2022-01-03T07:16:03,887 For more details on design, guidance on setting up a development environment, and SDK usage. 2022-01-03T07:16:03,887 * Decanter AI Introduction: 2022-01-03T07:16:03,888 * Decanter AI SDK Introduction: 2022-01-03T07:16:03,888 * Code: 2022-01-03T07:16:03,888 * Installation: 2022-01-03T07:16:03,888 * API interface: 2022-01-03T07:16:04,292 running bdist_wheel 2022-01-03T07:16:04,301 running build 2022-01-03T07:16:04,301 running build_py 2022-01-03T07:16:04,309 creating build 2022-01-03T07:16:04,310 creating build/lib 2022-01-03T07:16:04,311 creating build/lib/decanter 2022-01-03T07:16:04,313 copying src/decanter/__init__.py -> build/lib/decanter 2022-01-03T07:16:04,318 creating build/lib/decanter/core 2022-01-03T07:16:04,320 copying src/decanter/core/__init__.py -> build/lib/decanter/core 2022-01-03T07:16:04,323 copying src/decanter/core/plot.py -> build/lib/decanter/core 2022-01-03T07:16:04,326 copying src/decanter/core/client.py -> build/lib/decanter/core 2022-01-03T07:16:04,330 copying src/decanter/core/context.py -> build/lib/decanter/core 2022-01-03T07:16:04,336 creating build/lib/decanter/core/extra 2022-01-03T07:16:04,337 copying src/decanter/core/extra/__init__.py -> build/lib/decanter/core/extra 2022-01-03T07:16:04,341 copying src/decanter/core/extra/utils.py -> build/lib/decanter/core/extra 2022-01-03T07:16:04,344 copying src/decanter/core/extra/decorators.py -> build/lib/decanter/core/extra 2022-01-03T07:16:04,348 copying src/decanter/core/extra/const.py -> build/lib/decanter/core/extra 2022-01-03T07:16:04,353 creating build/lib/decanter/core/jobs 2022-01-03T07:16:04,354 copying src/decanter/core/jobs/job.py -> build/lib/decanter/core/jobs 2022-01-03T07:16:04,358 copying src/decanter/core/jobs/__init__.py -> build/lib/decanter/core/jobs 2022-01-03T07:16:04,361 copying src/decanter/core/jobs/predict_result.py -> build/lib/decanter/core/jobs 2022-01-03T07:16:04,365 copying src/decanter/core/jobs/data_setup.py -> build/lib/decanter/core/jobs 2022-01-03T07:16:04,369 copying src/decanter/core/jobs/experiment.py -> build/lib/decanter/core/jobs 2022-01-03T07:16:04,373 copying src/decanter/core/jobs/task.py -> build/lib/decanter/core/jobs 2022-01-03T07:16:04,377 copying src/decanter/core/jobs/data_upload.py -> build/lib/decanter/core/jobs 2022-01-03T07:16:04,382 creating build/lib/decanter/core/enums 2022-01-03T07:16:04,384 copying src/decanter/core/enums/algorithms.py -> build/lib/decanter/core/enums 2022-01-03T07:16:04,387 copying src/decanter/core/enums/__init__.py -> build/lib/decanter/core/enums 2022-01-03T07:16:04,390 copying src/decanter/core/enums/numerical_group_by_methods.py -> build/lib/decanter/core/enums 2022-01-03T07:16:04,393 copying src/decanter/core/enums/categorical_group_by_method.py -> build/lib/decanter/core/enums 2022-01-03T07:16:04,396 copying src/decanter/core/enums/evaluators.py -> build/lib/decanter/core/enums 2022-01-03T07:16:04,399 copying src/decanter/core/enums/time_units.py -> build/lib/decanter/core/enums 2022-01-03T07:16:04,403 creating build/lib/decanter/core/core_api 2022-01-03T07:16:04,405 copying src/decanter/core/core_api/__init__.py -> build/lib/decanter/core/core_api 2022-01-03T07:16:04,408 copying src/decanter/core/core_api/setup_input.py -> build/lib/decanter/core/core_api 2022-01-03T07:16:04,411 copying src/decanter/core/core_api/api.py -> build/lib/decanter/core/core_api 2022-01-03T07:16:04,415 copying src/decanter/core/core_api/worker.py -> build/lib/decanter/core/core_api 2022-01-03T07:16:04,418 copying src/decanter/core/core_api/predict_input.py -> build/lib/decanter/core/core_api 2022-01-03T07:16:04,422 copying src/decanter/core/core_api/body_obj.py -> build/lib/decanter/core/core_api 2022-01-03T07:16:04,426 copying src/decanter/core/core_api/model.py -> build/lib/decanter/core/core_api 2022-01-03T07:16:04,430 copying src/decanter/core/core_api/train_input.py -> build/lib/decanter/core/core_api 2022-01-03T07:16:04,450 /usr/local/lib/python3.7/dist-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. 2022-01-03T07:16:04,451 setuptools.SetuptoolsDeprecationWarning, 2022-01-03T07:16:04,455 installing to build/bdist.linux-armv7l/wheel 2022-01-03T07:16:04,455 running install 2022-01-03T07:16:04,457 running install_lib 2022-01-03T07:16:04,464 creating build/bdist.linux-armv7l 2022-01-03T07:16:04,464 creating build/bdist.linux-armv7l/wheel 2022-01-03T07:16:04,467 creating build/bdist.linux-armv7l/wheel/decanter 2022-01-03T07:16:04,469 copying build/lib/decanter/__init__.py -> build/bdist.linux-armv7l/wheel/decanter 2022-01-03T07:16:04,473 creating build/bdist.linux-armv7l/wheel/decanter/core 2022-01-03T07:16:04,474 copying build/lib/decanter/core/__init__.py -> build/bdist.linux-armv7l/wheel/decanter/core 2022-01-03T07:16:04,479 creating build/bdist.linux-armv7l/wheel/decanter/core/extra 2022-01-03T07:16:04,480 copying build/lib/decanter/core/extra/__init__.py -> build/bdist.linux-armv7l/wheel/decanter/core/extra 2022-01-03T07:16:04,484 copying build/lib/decanter/core/extra/utils.py -> build/bdist.linux-armv7l/wheel/decanter/core/extra 2022-01-03T07:16:04,487 copying build/lib/decanter/core/extra/decorators.py -> build/bdist.linux-armv7l/wheel/decanter/core/extra 2022-01-03T07:16:04,490 copying build/lib/decanter/core/extra/const.py -> build/bdist.linux-armv7l/wheel/decanter/core/extra 2022-01-03T07:16:04,494 creating build/bdist.linux-armv7l/wheel/decanter/core/jobs 2022-01-03T07:16:04,496 copying build/lib/decanter/core/jobs/job.py -> build/bdist.linux-armv7l/wheel/decanter/core/jobs 2022-01-03T07:16:04,501 copying build/lib/decanter/core/jobs/__init__.py -> build/bdist.linux-armv7l/wheel/decanter/core/jobs 2022-01-03T07:16:04,504 copying build/lib/decanter/core/jobs/predict_result.py -> build/bdist.linux-armv7l/wheel/decanter/core/jobs 2022-01-03T07:16:04,508 copying build/lib/decanter/core/jobs/data_setup.py -> build/bdist.linux-armv7l/wheel/decanter/core/jobs 2022-01-03T07:16:04,512 copying build/lib/decanter/core/jobs/experiment.py -> build/bdist.linux-armv7l/wheel/decanter/core/jobs 2022-01-03T07:16:04,516 copying build/lib/decanter/core/jobs/task.py -> build/bdist.linux-armv7l/wheel/decanter/core/jobs 2022-01-03T07:16:04,521 copying build/lib/decanter/core/jobs/data_upload.py -> build/bdist.linux-armv7l/wheel/decanter/core/jobs 2022-01-03T07:16:04,525 creating build/bdist.linux-armv7l/wheel/decanter/core/enums 2022-01-03T07:16:04,527 copying build/lib/decanter/core/enums/algorithms.py -> build/bdist.linux-armv7l/wheel/decanter/core/enums 2022-01-03T07:16:04,530 copying build/lib/decanter/core/enums/__init__.py -> build/bdist.linux-armv7l/wheel/decanter/core/enums 2022-01-03T07:16:04,533 copying build/lib/decanter/core/enums/numerical_group_by_methods.py -> build/bdist.linux-armv7l/wheel/decanter/core/enums 2022-01-03T07:16:04,536 copying build/lib/decanter/core/enums/categorical_group_by_method.py -> build/bdist.linux-armv7l/wheel/decanter/core/enums 2022-01-03T07:16:04,540 copying build/lib/decanter/core/enums/evaluators.py -> build/bdist.linux-armv7l/wheel/decanter/core/enums 2022-01-03T07:16:04,543 copying build/lib/decanter/core/enums/time_units.py -> build/bdist.linux-armv7l/wheel/decanter/core/enums 2022-01-03T07:16:04,546 copying build/lib/decanter/core/plot.py -> build/bdist.linux-armv7l/wheel/decanter/core 2022-01-03T07:16:04,549 copying build/lib/decanter/core/client.py -> build/bdist.linux-armv7l/wheel/decanter/core 2022-01-03T07:16:04,555 creating build/bdist.linux-armv7l/wheel/decanter/core/core_api 2022-01-03T07:16:04,556 copying build/lib/decanter/core/core_api/__init__.py -> build/bdist.linux-armv7l/wheel/decanter/core/core_api 2022-01-03T07:16:04,560 copying build/lib/decanter/core/core_api/setup_input.py -> build/bdist.linux-armv7l/wheel/decanter/core/core_api 2022-01-03T07:16:04,563 copying build/lib/decanter/core/core_api/api.py -> build/bdist.linux-armv7l/wheel/decanter/core/core_api 2022-01-03T07:16:04,567 copying build/lib/decanter/core/core_api/worker.py -> build/bdist.linux-armv7l/wheel/decanter/core/core_api 2022-01-03T07:16:04,570 copying build/lib/decanter/core/core_api/predict_input.py -> build/bdist.linux-armv7l/wheel/decanter/core/core_api 2022-01-03T07:16:04,574 copying build/lib/decanter/core/core_api/body_obj.py -> build/bdist.linux-armv7l/wheel/decanter/core/core_api 2022-01-03T07:16:04,578 copying build/lib/decanter/core/core_api/model.py -> build/bdist.linux-armv7l/wheel/decanter/core/core_api 2022-01-03T07:16:04,582 copying build/lib/decanter/core/core_api/train_input.py -> build/bdist.linux-armv7l/wheel/decanter/core/core_api 2022-01-03T07:16:04,586 copying build/lib/decanter/core/context.py -> build/bdist.linux-armv7l/wheel/decanter/core 2022-01-03T07:16:04,590 running install_egg_info 2022-01-03T07:16:04,629 running egg_info 2022-01-03T07:16:04,630 writing src/decanter_ai_core_sdk.egg-info/PKG-INFO 2022-01-03T07:16:04,634 writing dependency_links to src/decanter_ai_core_sdk.egg-info/dependency_links.txt 2022-01-03T07:16:04,638 writing requirements to src/decanter_ai_core_sdk.egg-info/requires.txt 2022-01-03T07:16:04,639 writing top-level names to src/decanter_ai_core_sdk.egg-info/top_level.txt 2022-01-03T07:16:04,656 reading manifest file 'src/decanter_ai_core_sdk.egg-info/SOURCES.txt' 2022-01-03T07:16:04,668 writing manifest file 'src/decanter_ai_core_sdk.egg-info/SOURCES.txt' 2022-01-03T07:16:04,671 Copying src/decanter_ai_core_sdk.egg-info to build/bdist.linux-armv7l/wheel/decanter_ai_core_sdk-1.1.8-py3.7.egg-info 2022-01-03T07:16:04,691 running install_scripts 2022-01-03T07:16:04,875 creating build/bdist.linux-armv7l/wheel/decanter_ai_core_sdk-1.1.8.dist-info/WHEEL 2022-01-03T07:16:04,880 creating '/tmp/pip-wheel-k40_pgy_/decanter_ai_core_sdk-1.1.8-py3-none-any.whl' and adding 'build/bdist.linux-armv7l/wheel' to it 2022-01-03T07:16:04,886 adding 'decanter/__init__.py' 2022-01-03T07:16:04,891 adding 'decanter/core/__init__.py' 2022-01-03T07:16:04,894 adding 'decanter/core/client.py' 2022-01-03T07:16:04,897 adding 'decanter/core/context.py' 2022-01-03T07:16:04,900 adding 'decanter/core/plot.py' 2022-01-03T07:16:04,905 adding 'decanter/core/core_api/__init__.py' 2022-01-03T07:16:04,908 adding 'decanter/core/core_api/api.py' 2022-01-03T07:16:04,911 adding 'decanter/core/core_api/body_obj.py' 2022-01-03T07:16:04,914 adding 'decanter/core/core_api/model.py' 2022-01-03T07:16:04,917 adding 'decanter/core/core_api/predict_input.py' 2022-01-03T07:16:04,919 adding 'decanter/core/core_api/setup_input.py' 2022-01-03T07:16:04,923 adding 'decanter/core/core_api/train_input.py' 2022-01-03T07:16:04,925 adding 'decanter/core/core_api/worker.py' 2022-01-03T07:16:04,929 adding 'decanter/core/enums/__init__.py' 2022-01-03T07:16:04,931 adding 'decanter/core/enums/algorithms.py' 2022-01-03T07:16:04,933 adding 'decanter/core/enums/categorical_group_by_method.py' 2022-01-03T07:16:04,936 adding 'decanter/core/enums/evaluators.py' 2022-01-03T07:16:04,938 adding 'decanter/core/enums/numerical_group_by_methods.py' 2022-01-03T07:16:04,940 adding 'decanter/core/enums/time_units.py' 2022-01-03T07:16:04,942 adding 'decanter/core/extra/__init__.py' 2022-01-03T07:16:04,944 adding 'decanter/core/extra/const.py' 2022-01-03T07:16:04,947 adding 'decanter/core/extra/decorators.py' 2022-01-03T07:16:04,949 adding 'decanter/core/extra/utils.py' 2022-01-03T07:16:04,952 adding 'decanter/core/jobs/__init__.py' 2022-01-03T07:16:04,955 adding 'decanter/core/jobs/data_setup.py' 2022-01-03T07:16:04,958 adding 'decanter/core/jobs/data_upload.py' 2022-01-03T07:16:04,961 adding 'decanter/core/jobs/experiment.py' 2022-01-03T07:16:04,964 adding 'decanter/core/jobs/job.py' 2022-01-03T07:16:04,967 adding 'decanter/core/jobs/predict_result.py' 2022-01-03T07:16:04,971 adding 'decanter/core/jobs/task.py' 2022-01-03T07:16:04,976 adding 'decanter_ai_core_sdk-1.1.8.dist-info/METADATA' 2022-01-03T07:16:04,978 adding 'decanter_ai_core_sdk-1.1.8.dist-info/WHEEL' 2022-01-03T07:16:04,979 adding 'decanter_ai_core_sdk-1.1.8.dist-info/top_level.txt' 2022-01-03T07:16:04,980 adding 'decanter_ai_core_sdk-1.1.8.dist-info/RECORD' 2022-01-03T07:16:04,984 removing build/bdist.linux-armv7l/wheel 2022-01-03T07:16:05,121 Building wheel for decanter-ai-core-sdk (setup.py): finished with status 'done' 2022-01-03T07:16:05,126 Created wheel for decanter-ai-core-sdk: filename=decanter_ai_core_sdk-1.1.8-py3-none-any.whl size=40027 sha256=cd55cc7ff489fa4a2daee3bb58bdc5116a2865053ee4e4201e50828e13bc157b 2022-01-03T07:16:05,126 Stored in directory: /tmp/pip-ephem-wheel-cache-8fwi4des/wheels/b8/50/f2/abbc1f7359041177c7875d70834f245d55745a6a59c4cd0d6e 2022-01-03T07:16:05,149 Successfully built decanter-ai-core-sdk 2022-01-03T07:16:05,157 Removed build tracker: '/tmp/pip-req-tracker-wh9kxe7h'