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System information

• TensorFlow version: 1.13.1
• Doc Link: https://www.tensorflow.org/api_docs/python/tf/cus

(e.g. for links and images), because some of these examples are now being rendered in the docs.

Added by @fchollet in requests for contributions.

As of #36377, min/max functions were disabled for complex inputs (via dtype checks), however, min/max kernels are still compiled and dispatched for complex, see e.g.
https://github.com/pytorch/pytorch/blob/e44b2b72bd4ccecf9c2f6c18d09c11eff446b5a3/aten/src/ATen/native/cpu/ReduceAllOpsKernel.cpp#L77
This dispatch should be disabled, and we should rely on errors produced by dispatch macro to not

Describe the issue linked to the documentation

Add link to @amueller video

Suggest a potential alternative/fix

link to video: https://youtu.be/p_2Uw2BxdhA
link to transcript: https://github.com/data-umbrella/data-umbrella-scikit-learn-sprint/blob/master/3_transcript_ACM_video_vol2.md

In "Video Resources" section, add:

• Contributing to scikit-learn, Volume 2: Video, Transcri

One of the main use cases of lpad and rpad is, at least for me personally, to align things in the terminal. However, lpad and rpad are defined (and documented) to work in terms of code units (i.e. they call length on the input string) which means that when length and textwidth disagree, you get unaligned output:

julia> s1 = "⟨k|H₁|k̃⟩"
"⟨k|H₁|k̃⟩"
julia> s2 = "⟨k|H₁|k⟩"
"⟨

Currently many more Python projects like dask and optuna are using Python type hints. With the Python package of xgboost gaining more and more features, we should also adopt mypy as a safe guard against some type errors and for better code documentation.