longbowking

## make_pdf_with_a_list_of_images.py
"""
pip install Pillow

https://datatofish.com/images-to-pdf-python/
https://code-maven.com/create-images-with-python-pil-pillow
https://stackoverflow.com/a/67649020/8671516
"""
import os
from os.path import join as pjoin
from pathlib import Path

## glibc-check.sh
#!/bin/bash

# This scripts lets you check which minimum GLIBC version an executable requires.
# Simply run './glibc-check.sh path/to/your/binary'
#
# You can set `MAX_VER` however low you want, although I (fasterthanlime)
# Ubuntu 12.04 has GLIBC 2.15
# Centos 6.9   has GLIBC 2.12
# Centos 7.4   has GLIBC 2.17

## numpy_tricks.py
def sparse_image_arr(arr: np.ndarray, sparsity):
    """
    sparse image array according to image intensity
    """
    assert arr.ndim == 4
    arr_intensity = np.abs(arr).sum(axis=-1)          # [B, H, W]
    percentile = int((1-sparsity)*100)
    thres = np.percentile(arr_intensity, percentile, axis=[1,2])  # [B,]
    thres = thres.reshape(thres.shape + (1,) * 2)     # [B, H, W]
    mask = arr_intensity > thres                      # [B, W, W]

## particles_animation_to_letters.py
# """
# Author:      longbowking
# Email:       zhjhe@foxmail.com
# Create time: 2020/2/15
# """
# https://scikit-image.org/docs/dev/auto_examples/edges/plot_skeleton.html


from time import time

## convert-docx-to-html.py
# Converts a docx file with tables and images to (simple) HTML
# ORIGINAL CODE BY DAVID SSALI AT SOURCE: https://medium.com/@dvdssali/docx-to-html-1374eb6491a1
#
# Requires the Python module 'python-docx' <https://python-docx.readthedocs.io>
#
# Example use:
# >>> s = convert('./SOURCEDIR', 'SAMPLE.docx')
# >>> print(s)
# or
# $ python .\convert-docx-to-html.py > temp.html

## convert-docx.py
# Converts a docx file with tables and images to a new docx file
# The new file is based on a 'stub' document which contains preamble text and styles
#
# Requires the Python module 'python-docx' <https://python-docx.readthedocs.io>
# Written for Python 3
#
# Source documents are taken from the directory 'source' and converted documents are saved
# to the directory 'converted'
#
# Two types of source documents are handled: 'Fiscal Guide' or 'Economics Regime'. Each one
	"""
	pip install Pillow

	https://datatofish.com/images-to-pdf-python/
	https://code-maven.com/create-images-with-python-pil-pillow
	https://stackoverflow.com/a/67649020/8671516
	"""
	import os
	from os.path import join as pjoin
	from pathlib import Path
	#!/bin/bash

	# This scripts lets you check which minimum GLIBC version an executable requires.
	# Simply run './glibc-check.sh path/to/your/binary'
	#
	# You can set `MAX_VER` however low you want, although I (fasterthanlime)
	# Ubuntu 12.04 has GLIBC 2.15
	# Centos 6.9 has GLIBC 2.12
	# Centos 7.4 has GLIBC 2.17
	def sparse_image_arr(arr: np.ndarray, sparsity):
	"""
	sparse image array according to image intensity
	"""
	assert arr.ndim == 4
	arr_intensity = np.abs(arr).sum(axis=-1) # [B, H, W]
	percentile = int((1-sparsity)*100)
	thres = np.percentile(arr_intensity, percentile, axis=[1,2]) # [B,]
	thres = thres.reshape(thres.shape + (1,) * 2) # [B, H, W]
	mask = arr_intensity > thres # [B, W, W]
	# """
	# Author: longbowking
	# Email: zhjhe@foxmail.com
	# Create time: 2020/2/15
	# """
	# https://scikit-image.org/docs/dev/auto_examples/edges/plot_skeleton.html


	from time import time
	# Converts a docx file with tables and images to (simple) HTML
	# ORIGINAL CODE BY DAVID SSALI AT SOURCE: https://medium.com/@dvdssali/docx-to-html-1374eb6491a1
	#
	# Requires the Python module 'python-docx' <https://python-docx.readthedocs.io>
	#
	# Example use:
	# >>> s = convert('./SOURCEDIR', 'SAMPLE.docx')
	# >>> print(s)
	# or
	# $ python .\convert-docx-to-html.py > temp.html
	# Converts a docx file with tables and images to a new docx file
	# The new file is based on a 'stub' document which contains preamble text and styles
	#
	# Requires the Python module 'python-docx' <https://python-docx.readthedocs.io>
	# Written for Python 3
	#
	# Source documents are taken from the directory 'source' and converted documents are saved
	# to the directory 'converted'
	#
	# Two types of source documents are handled: 'Fiscal Guide' or 'Economics Regime'. Each one