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System information

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

❯ rg keras
machine_learning/lstm/lstm_prediction.py_tf
9:from keras.layers import LSTM, Dense
10:from keras.models import Sequential

And thus, removing the keras dependency from requirements.txt.

Ref:

• https://github.com/keras-team/keras#under-construction
• https://keras.io/guides/functional_api/#setup

(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.

🐛 Bug

The builtin getattr function has a third optional parameter called default, returned if the key fetched does not exist. However, the IR emitter does not support this third parameter and supports only the 2 arguments version:

https://github.com/pytorch/pytorch/blob/master/torch/csrc/jit/frontend/ir_emitter.cpp#L2858-L285

Describe the issue linked to the documentation

Videos on contributing to scikit-learn reference were created prior to renaming the branch name, and so refer to master, not main

Suggest a potential alternative/fix

In this file, under "Video Resources" section: https://github.com/scikit-learn/scikit-learn/blob/d01014c3198aafa336d9f8ed306f292d68c4a886/doc/developers/contributing.r

@apalala reported this issue when a site sends some invalid images, and suggested a fix for the spider middleware:

        image_stream = self.get_images(response, request, info, item=item)
        while True:
            try:
                path, image, buf = next(image_stream)
            except StopIteration:
                break
            except Exception:
                co

I'm trying to implement my custom plugin as a native filter but it looks like the height defined for every native filter is 20px, unlike the correct height when the plugin is defined in the dashboard.

Here's the relevant code:
https://github.com/apache/superset/blob/8ef572a4121ffd2fec6f64d0a053218dbf98308a/superset-frontend/src/dashboard/components/nativeFilters/FilterBar/FilterControls/Fi

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

First check

• I added a very descriptive title to this issue.
• I used the GitHub search to find a similar issue and didn't find it.
• I searched the FastAPI documentation, with the integrated search.
• I already searched in Google "How to X in FastAPI" and didn't find any information.
• I already read and followed all the tutorial in the docs and didn't find an answ

Need to fix the procedures so that the PDFs (English, Japanese) for the cheat sheet here: https://github.com/pandas-dev/pandas/tree/master/doc/cheatsheet

get uploaded to here:
https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf

(and when the Japanese one is there, can update the docs to link to it as well)

Note: If we decide to move the location on the web site, then we should do a redirec