espdev

## megafon_calls_info.py
# coding=utf-8

"""
The outgoing calls information for the "Megafon" mobile operator

"""

import xml.etree.ElementTree as ElementTree
import re

## Default (Windows).sublime-keymap
[
    { "keys": ["ctrl+shift+/"], "command": "toggle_setting", "args": {"setting": "word_wrap"} },
    { "keys": ["ctrl+alt+left"], "command": "jump_back" },
    { "keys": ["ctrl+alt+right"], "command": "jump_forward" }
]

## Preferences.sublime-settings
{
	"always_show_minimap_viewport": true,
	"close_windows_when_empty": false,
	"color_scheme": "Packages/Theme - Afterglow/Afterglow.tmTheme",
	"dictionary": "Packages/Language - Russian/ru_RU.dic",
	"draw_minimap_border": true,
	"ensure_newline_at_eof_on_save": true,
	"fade_fold_buttons": true,
	"fallback_encoding": "Cyrillic (Windows 1251)",
	"font_face": "Consolas",

## rects_overlapping.py
"""
Rects overlapping

A rect representation:
    rect = [x1, y1, x2, y2]
"""


def range_overlap(a_min, a_max, b_min, b_max):
    return not ((a_min > b_max) or (a_max < b_min))

## deviceInfo.cu
#include <cuda.h>
#include <stdio.h>


void cudasafe(int error, char* message, char* file, int line) {
        if (error != cudaSuccess) {
                fprintf(stderr, "CUDA Error: %s : %i. In %s line %d\n", message, error, file, line);
                exit(-1);
        }
}

## mpe-fm.ipynb

      
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                espdev
                / mpe-fm.ipynb
            
            
              Last active
              August 18, 2016 21:21
            
              
                Minimal Path Extraction via Fast Marching Method
              
          
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## remove_close_points.py
"""
Прореживание облака 2D-точек по минимальному расстоянию между точками

Реализация "в лоб" с использованием KD-Tree
"""

import numpy as np
import scipy.spatial as spatial


## cudnn.txt
$ tar -zxvf cudnn-7.0-linux-x64-v4.0-prod.solitairetheme8
$ cd cuda
$ sudo cp include/cudnn.h /usr/local/include
$ sudo cp lib64/libcudnn.* /usr/local/lib

## slide.py
import itertools

def slide(seq, n=2):
    """Returns a sliding window (of width n) over data from the sequence

    s -> (s0, s1, ..., s[n-1]), (s1, s2, ..., sn), ...
    """
    it = iter(seq)
    result = tuple(itertools.islice(it, n))
    if len(result) == n:

## plot_rectangular_parallelepiped.py
from mpl_toolkits.mplot3d import Axes3D
from mpl_toolkits.mplot3d.art3d import Poly3DCollection
import matplotlib.pyplot as plt

#    x  y  z
a = (1, 1, 1)  # p1
b = (2, 2, 2)  # p2

x, y, z = 0, 1, 2
	# coding=utf-8

	"""
	The outgoing calls information for the "Megafon" mobile operator

	"""

	import xml.etree.ElementTree as ElementTree
	import re
	[
	{ "keys": ["ctrl+shift+/"], "command": "toggle_setting", "args": {"setting": "word_wrap"} },
	{ "keys": ["ctrl+alt+left"], "command": "jump_back" },
	{ "keys": ["ctrl+alt+right"], "command": "jump_forward" }
	]
	{
	"always_show_minimap_viewport": true,
	"close_windows_when_empty": false,
	"color_scheme": "Packages/Theme - Afterglow/Afterglow.tmTheme",
	"dictionary": "Packages/Language - Russian/ru_RU.dic",
	"draw_minimap_border": true,
	"ensure_newline_at_eof_on_save": true,
	"fade_fold_buttons": true,
	"fallback_encoding": "Cyrillic (Windows 1251)",
	"font_face": "Consolas",
	"""
	Rects overlapping

	A rect representation:
	rect = [x1, y1, x2, y2]
	"""


	def range_overlap(a_min, a_max, b_min, b_max):
	return not ((a_min > b_max) or (a_max < b_min))
	#include <cuda.h>
	#include <stdio.h>


	void cudasafe(int error, char* message, char* file, int line) {
	if (error != cudaSuccess) {
	fprintf(stderr, "CUDA Error: %s : %i. In %s line %d\n", message, error, file, line);
	exit(-1);
	}
	}
	"""
	Прореживание облака 2D-точек по минимальному расстоянию между точками

	Реализация "в лоб" с использованием KD-Tree
	"""

	import numpy as np
	import scipy.spatial as spatial
	$ tar -zxvf cudnn-7.0-linux-x64-v4.0-prod.solitairetheme8
	$ cd cuda
	$ sudo cp include/cudnn.h /usr/local/include
	$ sudo cp lib64/libcudnn.* /usr/local/lib
	import itertools

	def slide(seq, n=2):
	"""Returns a sliding window (of width n) over data from the sequence

	s -> (s0, s1, ..., s[n-1]), (s1, s2, ..., sn), ...
	"""
	it = iter(seq)
	result = tuple(itertools.islice(it, n))
	if len(result) == n:
	from mpl_toolkits.mplot3d import Axes3D
	from mpl_toolkits.mplot3d.art3d import Poly3DCollection
	import matplotlib.pyplot as plt

	# x y z
	a = (1, 1, 1) # p1
	b = (2, 2, 2) # p2

	x, y, z = 0, 1, 2