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import pandas as pd
import dask.dataframe as dd
import numpy as np
import dask.array as da
import inspect
from numpydoc.docscrape import NumpyDocString
import pydoc


def maybe_build_signature(obj, name):

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import dask
import dask.array as da
import dask.dataframe as dd
import sparse

@dask.delayed(pure=True)
def corr_on_chunked(chunk1, chunk2, corr_thresh=0.9):
    return sparse.COO.from_numpy((np.dot(chunk1, chunk2.T) > corr_thresh))
        
def chunked_corr_sparse_dask(data, chunksize=5000, corr_thresh=0.9):

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FROM python:2-alpine

RUN pip install \
	beautifulsoup4 \
	requests

COPY papers.py /usr/local/bin/
RUN chmod +x /usr/local/bin/papers.py

WORKDIR /root

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{
  "__inputs": [],
  "__requires": [
    {
      "type": "grafana",
      "id": "grafana",
      "name": "Grafana",
      "version": "4.6.3"
    },
    {

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Import GitHub labels

Based on: https://gist.github.com/Isaddo/7efebcb673a0957b9c6f07cd14826ea4

1. Go on your labels page https://github.com/user/repo/labels
2. Paste this script in your console.
3. Press Enter.

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