caiofcm

caiofcm

#!/bin/bash
# Use -gt 1 to consume two arguments per pass in the loop (e.g. each
# argument has a corresponding value to go with it).
# Use -gt 0 to consume one or more arguments per pass in the loop (e.g.
# some arguments don't have a corresponding value to go with it such
# as in the --default example).
# note: if this is set to -gt 0 the /etc/hosts part is not recognized ( may be a bug )
while [[ $# -gt 0 ]]
do
key="$1"

caiofcm

# # Convertion TOOL: from double to adouble
#
# ## Description: 
#
# In the header/source files mark double that should be considered as adouble as:
#   `double\*a*\`
# The conversion tool will simple change those declaration to `adouble`
# 
# ## Usage:
# 

caiofcm

Packaging python

Resources for Scaffolding

• https://pypi.python.org/pypi/PyScaffold

Creating virtualenv

• virtualenv
• virtualenvwrapper

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Python Profile

Currently using Snakeviz:

Steps

• pip install snakeviz
• python -m cProfile -o program.prof my_program.py
• snakeviz program.prof

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Python Test

Currently using pytest

Resources

• https://www.tilcode.com/pytest-cli-tips-tricks-settings/

Hints

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Create PDF file from two latex git commits

See Answer: https://tex.stackexchange.com/questions/266879/latex-git-mark-differences-since-specific-commit

1. Start by getting the version of a file from a previous commit, with

git show <commit>:filename.tex > tmp.tex

2. Run latexpand to include possible \input and \include files

caiofcm

Mingw64: install python with numpy scipy pip

$ pacman --needed -Sy bash pacman pacman-mirrors msys2-runtime
$ pacman -Su
$ pacman -Sy base-devel msys2-devel
$ pacman -Sy mingw-w64-x86_64-python3 mingw-w64-x86_64-python3-pip mingw-w64-x86_64-python3-numpy mingw-w64-x86_64-python3-scipy mingw-w64-x86_64-python3-matplotlib mingw-w64-x86_64-python3-pandas mingw-w64-x86_64-python3-Pillow

reference

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# LaTeX Makefile
FILE=thesis

all: $(FILE).pdf

.PHONY: clean

clean:
	rm -rf *.blg 
	rm -rf *.out 

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def cat_vector(args):
    noArray = False
    for y in args:
        if isinstance(y, np.ndarray):
            if y.size != 1:
                x = y
                noArray = True
                break
    if noArray == False:
        raise 'One of the args has to be a numpy array'