samueljackson92

import matplotlib.pyplot as plt
from pathlib import Path, PurePath
from image import ImageLoader, Regrid
from skimage.transform import resize
from skimage.exposure import exposure
import numpy as np
import sys
from PIL import Image as PillowImage
from PIL import ImageEnhance
import skimage

samueljackson92

samueljackson92

• Add link to the proper build instructions on MediaWiki (remove existing content)
• Merge build instructions on Github wiki
• Update build instructions to use brew MantidDeveloper package.
• Move Github wiki build instructions into the mantid/docs.
• Create bottles for packages we manage
• Converting script to python or cmake.

samueljackson92

diff --git a/MantidPlot/make_package.rb.in b/MantidPlot/make_package.rb.in
index acdb31e30f..672bf3f3b6 100755
--- a/MantidPlot/make_package.rb.in
+++ b/MantidPlot/make_package.rb.in
@@ -72,7 +72,7 @@ library_filenames = ["libboost_regex-mt.dylib",
                      "libTKGeomBase.dylib",
                      "libqwt.dylib",
                      "libqwtplot3d.dylib",
-                     "libqscintilla2.dylib",
+                     "libqscintilla2_qt4.dylib",

samueljackson92

def printname(func):
    """
    Prints the name of a decorated method

    This can be useful for debugging unit tests which
    interfere with each other.
    """
    def wrapper(self):
        print func.__name__
        return func(self)

samueljackson92

#!/usr/bin/env python
import sys
import subprocess
import os
import re
import tempfile


def run_command(command):
    try:

samueljackson92

EXED

• ~5 per run
• limits and start parameters once
• mask generated for every run
• scipy.optimize.leastsq
  • Using it to determine UB matrix
  • Easy to control
• Problems
  • Algorithms rely on high redundancy
• Colineararity problems with limited directions sampled

samueljackson92

  QPainterPath path;

  std::sort(points.begin(), points.end(),
            [](const QPointF& p1, const QPointF& p2) -> bool
  {
    return p1.x() < p2.x();
  });

  constexpr auto step = 100.0;

samueljackson92

#!/usr/bin/env python
import requests
import sys
import subprocess
import os
import tempfile

def get_build_list():
    contents = get_json_data("http://builds.mantidproject.org/job/pull_requests-clang-format/api/json?pretty=true")
    if 'builds' in contents.keys():

samueljackson92

from sklearn import cross_validation
from sklearn import metrics
from sklearn.pipeline import Pipeline
import numpy as np
import collections


def repeated_cross_fold_validation(models, X, y, n=10, k=5, cv=None,
                                   score_function=metrics.accuracy_score):
    """ Run cross validation on a set of models n times