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System information

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

As discussed in #3926, the following files do not have .py extensions because TensorFlow does not yet support the current Python.

• dynamic_programming/k_means_clustering_tensorflow.py_tf
• machine_learning/lstm/lstm_prediction.py_tf
• neural_network/gan.py_tf
• neural_network/input_data.py_tf

TODO: Restore the .py file extensions

(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.

🚀 Feature

Add support for torch.max with:

• CUDA bfloat16
• CPU float16 and bfloat16

Motivation

Currently, torch.max has support for CUDA float16:

>>> torch.rand(10, dtype=torch.float16, device='cuda').max()
tensor(0.8530, device='cuda:0', dtype=torch.float16)

But all three other combinations of CPU/CUDA and float16/bfloat16 are not supported:

>>> torch.ra

There is a warning generated in our documentation for the 2 following examples:

• https://scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance.html#sphx-glr-auto-examples-inspection-plot-permutation-importance-py
• https://scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance_multicollinear.html#sphx-glr-auto-examples-inspection-plot-permutation-i

Description

On scrapy crawl spidername
Original purpose of spiderloader is to search and load requred spider by it's name.
Hovewer current implementation of SpiderLoader literally import all project spider modules and hold it in memory up to end of process (even for cases when we need to load single spider for `

A clear and concise description of what the bug is.

Expected results

Label type changed

Actual results

Label type doesn't changed

Screenshots

How to reproduce the bug

1. Go to 'Charts'
2. Click on 'any Pie chart.'
3. Change Label Type
   4

Hello everyone, I will explain the current status of manim in this issue.

Now there are three main manim versions, and their differences:

1. The master branch of 3b1b/manim: Rendering on GPU using OpenGL and moderngl. Support interaction and have higher efficiency.
2. ManimCommunity/manim: (@ManimCommunity

When looking at the docstring of pad:

In [21]: pd.Series.pad?
Signature:
pd.Series.pad(
    self: 'FrameOrSeries',
    axis=None,
    inplace: 'bool_t' = False,
    limit=None,
    downcast=None,
) -> 'Optional[FrameOrSeries]'
Docstring:
Synonym for :meth:`DataFrame.fillna` with ``method='ffill'``.

Returns
-------
{klass} or None
    Object with missing values filled or N

In all of our current uses of os.umask or filesystem.umask, we always temporarily set it to a different value and then restore it using a try/finally block. I expect this pattern to continue.

Because of that, why don't we create a simple function in certbot.util that can be used as a context manager to set umask to a value and restore it to its previous value when exiting the with blo