milannankov

<!-- Rest of .csproj -->
  <Import Project="$(MSBuildToolsPath)\Microsoft.CSharp.targets" />
  <Import Project="$(MSBuildProjectDirectory)\Build\copy-output.targets" />
</Project>

raingo

import tensorflow as tf

"""
Multi dimensional softmax,
refer to https://github.com/tensorflow/tensorflow/issues/210

compute softmax along the dimension of target
the native softmax only supports batch_size x dimension
"""
def softmax(target, axis, name=None):

adeekshith

# <type>: (If applied, this commit will...) <subject> (Max 50 char)
# |<----  Using a Maximum Of 50 Characters  ---->|


# Explain why this change is being made
# |<----   Try To Limit Each Line to a Maximum Of 72 Characters   ---->|

# Provide links or keys to any relevant tickets, articles or other resources
# Example: Github issue #23

RaymondKroon

#!/usr/bin/env sh

sudo update-alternatives --install \
        /usr/bin/llvm-config       llvm-config      /usr/bin/llvm-config-3.6  200 \
--slave /usr/bin/llvm-ar           llvm-ar          /usr/bin/llvm-ar-3.6 \
--slave /usr/bin/llvm-as           llvm-as          /usr/bin/llvm-as-3.6 \
--slave /usr/bin/llvm-bcanalyzer   llvm-bcanalyzer  /usr/bin/llvm-bcanalyzer-3.6 \
--slave /usr/bin/llvm-cov          llvm-cov         /usr/bin/llvm-cov-3.6 \
--slave /usr/bin/llvm-diff         llvm-diff        /usr/bin/llvm-diff-3.6 \
--slave /usr/bin/llvm-dis          llvm-dis         /usr/bin/llvm-dis-3.6 \

wolph

import warnings
import functools


def ignore_warning(warning, count=None):
    def _ignore_warning(function):
        @functools.wraps(function)
        def __ignore_warning(*args, **kwargs):
            with warnings.catch_warnings(record=True) as ws:
                # Catch all warnings of this type

BartG95

Note: since I switched to GNU+Linux (a libre operating system, which I recommend), I don't maintain this tutorial anymore. Also, be aware that this tutorial is about preview software that is superseded by multiple stable releases. Consider all information below as outdated and possibly wrong.

How to: build OpenCV x64 with Qt on Visual Studio 2015 Community Preview and Windows 10 Preview (build 10162)

Introduction

As I'm an update addict, I like to try preview software. Or I'm an update addict because I like preview software. I don't know. Anyway, before my holiday started, I used OpenCV for a project in college. I like the library, because it's possible to achieve funny things with it and it makes computer vision easy. So when my holiday began, I started using OpenCV for some fun projects. And then I upgraded Windows 10. It wasn't stable back then, but I didn't need my pc for a while, so I could try it. Also I installed Visual Studio 2015 and I started to make an OpenCV project.

Unfortunately, th

miohtama

import logging

from sqlalchemy import inspect
from sqlalchemy.ext.declarative.clsregistry import _ModuleMarker
from sqlalchemy.orm import RelationshipProperty

logger = logging.getLogger(__name__)


def is_sane_database(Base, session):

rickyah

Getting Started with Git SVN

• Getting Started with Git SVN
• Introduction
  • Cloning the SVN repository
  • Getting the latest changes from SVN
  • Local work
  • Pushing local changes to SVN
• Caveats
• Local merges

satra

from scipy.spatial.distance import pdist, squareform
import numpy as np

from numbapro import jit, float32

def distcorr(X, Y):
    """ Compute the distance correlation function
    
    >>> a = [1,2,3,4,5]
    >>> b = np.array([1,2,9,4,4])

devdattaT

import math
import os
import urllib
from shapely.geometry import Polygon

def deg2num(lat_deg, lon_deg, zoom):
	lat_rad = math.radians(lat_deg)
	n = 2.0 ** zoom
	xtile = int((lon_deg + 180.0) / 360.0 * n)
	ytile = int((1.0 - math.log(math.tan(lat_rad) + (1 / math.cos(lat_rad))) / math.pi) / 2.0 * n)