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⬆️ Bump chainer and cupy to 6.2.0, and update other ML/DL deps
Manually updating various machine learning/deep learning dependencies in Pipfile. Detailed references to each updated dependencies' release notes and diff commits as follows: - [chainer](https://github.com/chainer/chainer) from 6.0.0 to 6.2.0: - [Release notes](https://github.com/chainer/chainer/releases/tag/v6.2.0) - [Commits](chainer/chainer@v6.0.0...v6.2.0) - [comet-ml](https://comet.ml/) from 1.0.55 to 2.0.5 - [cupy-cuda100](https://github.com/cupy/cupy) from 6.0.0 to 6.2.0: - [Release notes](https://github.com/cupy/cupy/releases/tag/v6.2.0) - [Commits](cupy/cupy@v6.0.0...v6.2.0) - [optuna](https://github.com/pfnet/optuna) from 0.11.0 to 0.13.0 - [Release notes](https://github.com/pfnet/optuna/releases/tag/v0.13.0) - [Commits](optuna/optuna@v0.11.0...v0.13.0)
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Pipfile

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@@ -5,9 +5,9 @@ name = "pypi"
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[packages]
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black = "==19.3b0"
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chainer = "==6.0.0"
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comet-ml = "==1.0.55"
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cupy-cuda100 = "==6.0.0"
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chainer = "==6.2.0"
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comet-ml = "==2.0.5"
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cupy-cuda100 = "==6.2.0"
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dask = {extras = ["array"],version = "==1.2.2"}
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descartes = "==1.1.0"
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geopandas = "==0.5.0"
@@ -19,7 +19,7 @@ matplotlib = "==3.1.0"
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netcdf4 = "==1.4.1"
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numpy = "==1.16.4"
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onnx_chainer = "==1.4.1"
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optuna = "==0.11.0"
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optuna = "==0.13.0"
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pandas = "==0.24.2"
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pygmt = {editable = true, ref = "0.0.1a0-40-g29220bd", git = "https://github.com/weiji14/pygmt.git"}
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quilt = "==2.9.15"

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