Hannes Schulz temporaer

## .pdbrc
alias deltrace ipdb.set_trace = lambda: None
alias pshape (%1).shape
alias plen len(%1)
alias plshape for i in (%1): print(i.shape)
alias embed import IPython; IPython.embed()

alias ts from pprint import pprint; from pdbhelpers import tensor_shapes; A=tensor_shapes(%1); pprint(A)

## slave-timer.py
import sys
import click
import shelve
import datetime
from prompt_toolkit.validation import Validator, ValidationError
from prompt_toolkit import prompt

class NumberValidator(Validator):
    def validate(self, document):
        text = document.text

## fromfile.cpp
#include <algorithm>
#include <numeric>
#include <iostream>
#include <fstream>
#include <vector>
#include "boost/multi_array.hpp"

template<class T, long unsigned int D=2u>
boost::multi_array<T, D> fromfile(std::string f, bool convert_to_c_order=false){
    typedef boost::multi_array<T, D> array_type;

## lp.png

      
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                temporaer
                / lp.png
            
            
              Last active
              April 16, 2021 12:21
            
              
                matplotlib log-polar plots seem to be quite buggy at the time of writing. They crash if rlim is not set before rscale, and they seem to have a magic 0.1 in there somewhere, where all values less than 0.1 are interpreted as 'negative' (whatever that means in a log-polar plot). This gist creates some spiral data, a polar and a log-polar plot using…
              
          
## learning_gabor_filters.py
import numpy as np
import matplotlib.pyplot as plt

from sklearn.datasets import fetch_mldata
from sklearn.decomposition import FastICA, PCA
from sklearn.cluster import KMeans

# fetch natural image patches
image_patches = fetch_mldata("natural scenes data")
X = image_patches.data

## gil_or_nogil.py
#cython: boundscheck=False
#cython: cdivision=True
#cython: wraparound=False

# While learning about Cython, I found code which proudly adds
# 'nogil' to function heads wherever possible.
#
# In the generated C-Code, the effect is mainly three lines:
#
#

## random_palette.py
# Create a random palette in LAB space and convert to RGB.
# For easy use as a infinite colormap in matplotlib.
# After an idea from @amueller and
# http://stackoverflow.com/questions/10254207/color-and-line-writing-using-matplotlib

import numpy as np
from colormath.color_objects import LabColor


def get_random_color(seed=3):
	alias deltrace ipdb.set_trace = lambda: None
	alias pshape (%1).shape
	alias plen len(%1)
	alias plshape for i in (%1): print(i.shape)
	alias embed import IPython; IPython.embed()

	alias ts from pprint import pprint; from pdbhelpers import tensor_shapes; A=tensor_shapes(%1); pprint(A)
	import sys
	import click
	import shelve
	import datetime
	from prompt_toolkit.validation import Validator, ValidationError
	from prompt_toolkit import prompt

	class NumberValidator(Validator):
	def validate(self, document):
	text = document.text
	#include <algorithm>
	#include <numeric>
	#include <iostream>
	#include <fstream>
	#include <vector>
	#include "boost/multi_array.hpp"

	template<class T, long unsigned int D=2u>
	boost::multi_array<T, D> fromfile(std::string f, bool convert_to_c_order=false){
	typedef boost::multi_array<T, D> array_type;
	import numpy as np
	import matplotlib.pyplot as plt

	from sklearn.datasets import fetch_mldata
	from sklearn.decomposition import FastICA, PCA
	from sklearn.cluster import KMeans

	# fetch natural image patches
	image_patches = fetch_mldata("natural scenes data")
	X = image_patches.data
	#cython: boundscheck=False
	#cython: cdivision=True
	#cython: wraparound=False

	# While learning about Cython, I found code which proudly adds
	# 'nogil' to function heads wherever possible.
	#
	# In the generated C-Code, the effect is mainly three lines:
	#
	#
	# Create a random palette in LAB space and convert to RGB.
	# For easy use as a infinite colormap in matplotlib.
	# After an idea from @amueller and
	# http://stackoverflow.com/questions/10254207/color-and-line-writing-using-matplotlib

	import numpy as np
	from colormath.color_objects import LabColor


	def get_random_color(seed=3):