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tonnrueter/pymca_devel
|
PyMca/Object3D/Object3DPlugins/Object3DStack.py
|
1
|
24743
|
import os
try:
import OpenGL.GL as GL
import OpenGL.GLU as GLU
except ImportError:
raise ImportError, "OpenGL must be installed to use these functionalities"
import numpy
try:
from PyMca import spslut
except:
import spslut
try:
from PyMca.Object3D import Object3DFileDialogs
from PyMca.Object3D import Object3DBase
except ImportError:
from Object3D import Object3DFileDialogs
from Object3D import Object3DBase
try:
from PyMca.Object3D import Object3DCTools
except ImportError:
try:
from Object3D import Object3DCTools
except:
import Object3DCTools
import Object3DMeshConfig
qt = Object3DMeshConfig.qt
import weakref
#import buffers
DEBUG = 0
import time
DRAW_MODES = ['NONE',
'POINT',
'WIRE',
'SURFACE',
'LIGHT',
'POINT_SELECTION']
COLORMAPLIST = [spslut.GREYSCALE, spslut.REVERSEGREY, spslut.TEMP,
spslut.RED, spslut.GREEN, spslut.BLUE, spslut.MANY]
class Object3DStack(Object3DBase.Object3D):
def __init__(self, name = "3D-Array"):
Object3DBase.Object3D.__init__(self, name)
self._alpha = 255
self.drawListDict = {}
self._forceListCalculation = {}
self.vertices = None
self.vertexColors = None
self.vertexSelectionColors = None
self._selected = False
self._vertexSelectionMode = False
self.drawMode = 'POINT'
self.__isosurfacesDict = {}
for i in range(5):
self.__isosurfacesDict[i] = {}
self.__isosurfacesDict[i]['list'] = 0
self.__isosurfacesDict[i]['value'] = 0
self.__isosurfacesDict[i]['color'] = 'red'
self.__isosurfacesDict[i]['r'] = 0xFF
self.__isosurfacesDict[i]['g'] = 0
self.__isosurfacesDict[i]['b'] = 0
self.__isosurfacesDict[i]['a'] = 0xFF
self._configuration['common']['supportedmodes'] = [1, 1, 1, 1]
self._configuration['common']['mode'] = 1
#centered on XY plane and on Z
self._configuration['common']['anchor'] = [2, 2, 2]
#self._verticesBufferObject = None
#self._vertexColorBufferObject = None
#self._vertexSelectionColorBufferObject = None
def initPrivateConfiguration(self, name):
"""
Specific configuration
"""
self._configuration['private'] = {}
if self._privateConfigurationWidget is None:
self._privateConfigurationWidget = Object3DMeshConfig.\
Object3DMeshConfig(None, name)
self._configuration['private']['widget'] = weakref.proxy(self._privateConfigurationWidget)
self._configuration['private']['colorfilter'] = 1
self._configuration['private']['isosurfaces'] = [[1, 20, 'green', 0, 0xFF, 0, 0xFF]] #green
#self._configuration['private']['isosurfaces'] = [[1, 10, None, 0, 0, 0, 0xFF]] #auto
self._configuration['private']['useminmax'] = [0, 100, 200]
self._configuration['private']['infolabel'] = "Object3DStack %s" % name
def __del__(self):
for key in self.drawListDict.keys():
if key.upper() != "NONE":
if self.drawListDict[key] > 0:
GL.glDeleteLists(self.drawListDict[key], 1)
for key in self.__isosurfacesDict.keys():
if self.__isosurfacesDict[key]['list'] > 0:
GL.glDeleteLists(self.__isosurfacesDict[key]['list'], 1)
try:
Object3DBase.Object3D.__del__(self)
except AttributeError:
pass
def setConfiguration(self, ddict):
old_alpha = 1.0 - self._configuration['common']['transparency']
Object3DBase.Object3D.setConfiguration(self, ddict)
new_alpha = 1.0 - self._configuration['common']['transparency']
if (new_alpha != old_alpha):
self._setAlpha(new_alpha)
self.drawMode = DRAW_MODES[self._configuration['common']['mode']]
if ddict['common'].has_key('event'):
if ddict['common']['event'] == 'ColormapChanged':
self.getColors()
def _setAlpha(self, alpha):
if alpha < 0:
alpha = 0
elif alpha >= 1.0:
alpha = 255
else:
self._alpha = int(255 * alpha)
if self.vertexColors is None:
return
self.vertexColors[:, 3] = self._alpha
def setData(self, *args, **kw):
return self.setStack(*args, **kw)
def setStack(self, data, x=None, y=None, z=None, xyz=None):
"""
setStack(data, data, xyz=None)
data is the array of vertex values.
xyz = [x,y,z] are three arrays with the grid coordinates
"""
if hasattr(data, "info") and hasattr(data, "data"):
#It is an actual stack
self._actualStack = True
self.values = data.data[:]
else:
self._actualStack = False
self.values = data[:]
if self.values.dtype != numpy.float32:
print("WARNING: Converting to float32")
self.values = self.values.astype(numpy.float32)
if (x is None) and (y is None) and (xyz is None):
xsize, ysize, zsize = self.values.shape
self._x = numpy.arange(xsize).astype(numpy.float32)
self._y = numpy.arange(ysize).astype(numpy.float32)
self._z = numpy.arange(zsize).astype(numpy.float32)
if self._actualStack:
xCal = map(float, eval(data.info.get('CAxis0CalibrationParameters', '[0., 1.0, 0.0]')))
yCal = map(float, eval(data.info.get('CAxis1CalibrationParameters', '[0., 1.0, 0.0]')))
zCal = map(float, eval(data.info.get('CAxis2CalibrationParameters', '[0., 1.0, 0.0]')))
self._x[:] = xCal[0] + self._x * (xCal[1] + xCal[2] * self._x)
self._y[:] = yCal[0] + self._y * (yCal[1] + yCal[2] * self._y)
self._z[:] = zCal[0] + self._z * (zCal[1] + zCal[2] * self._z)
self.xSize, self.ySize, self.zSize = xsize, ysize, zsize
elif xyz is not None:
self.xSize, self.ySize, self.zSize = self.values.shape
self._x[:] = xyz[0][:]
self._y[:] = xyz[1][:]
self._z[:] = xyz[2][:]
elif (x is not None) and (y is not None):
#regular mesh
self._x = numpy.array(x).astype(numpy.float32)
self._y = numpy.array(y).astype(numpy.float32)
self._x.shape = -1, 1
self._y.shape = -1, 1
self.xSize = self._x.shape[0]
self.ySize = self._y.shape[0]
if z is not None:
self._z = numpy.array(z).astype(numpy.float32)
if len(self._z.shape) == 0:
#assume just a number
self.zSize = 1
else:
self._z.shape = -1, 1
self.zSize = self._z.shape[0]
else:
a=1
for v in self.values.shape:
a *= v
zsize = int(a/(self.xSize * self.ySize))
self._z = numpy.arange(zsize).astype(numpy.float32)
self.zSize = zsize
else:
raise ValueError, "Unhandled case"
old_shape = self.values.shape
self.nVertices = self.xSize * self.ySize * self.zSize
self.values.shape = self.nVertices, 1
self.getColors()
self._obtainLimits()
#restore original shape
self.values.shape = old_shape
def getColors(self):
old_shape = self.values.shape
self.values.shape = -1, 1
self._configuration['common']['colormap'][4]=self.values.min()
self._configuration['common']['colormap'][5]=self.values.max()
colormap = self._configuration['common']['colormap']
(self.vertexColors,size,minmax)= spslut.transform(self.values,
(1,0),
(colormap[6],3.0),
"RGBX",
COLORMAPLIST[int(str(colormap[0]))],
colormap[1],
(colormap[2], colormap[3]),
(0, 255),1)
self.values.shape = old_shape
self.vertexColors.shape = self.nVertices, 4
self.vertexColors[:, 3] = self._alpha
#selection colors
# if I have more than pow(2, 24) vertices
# the vertex with number pow(2, 24) will never be selected
return
i = numpy.arange(self.nVertices)
self.vertexSelectionColors = numpy.zeros((self.nVertices,4),
numpy.uint8)
self.vertexSelectionColors[:,0] = (i & 255)
self.vertexSelectionColors[:,1] = ((i >> 8) & 255)
self.vertexSelectionColors[:,2] = ((i >> 16) & 255)
self.vertexSelectionColors[:,3] = 255 - (i >> 24)
def _obtainLimits(self):
xmin, ymin, zmin = self._x.min(), self._y.min(), self._z.min()
xmax, ymax, zmax = self._x.max(), self._y.max(), self._z.max()
self.setLimits(xmin, ymin, zmin, xmax, ymax, zmax)
def drawObject(self):
if self.values is None:
return
if DEBUG:
t0=time.time()
GL.glPushAttrib(GL.GL_ALL_ATTRIB_BITS)
GL.glShadeModel(GL.GL_FLAT)
if self.drawMode == 'NONE':
pass
elif (GL.glGetIntegerv(GL.GL_RENDER_MODE) == GL.GL_SELECT) or \
self._vertexSelectionMode:
self.buildPointList(selection=True)
elif self.drawMode == 'POINT':
self.buildPointList(selection=False)
#self.buildPointListNEW(selection=False)
elif self.drawMode == 'POINT_SELECTION':
self.buildPointList(selection=True)
elif self.drawMode in ['LINES', 'WIRE']:
Object3DCTools.draw3DGridLines(self._x,
self._y,
self._z,
self.vertexColors,
self.values,
self._configuration['private']['colorfilter'],
self._configuration['private']['useminmax'])
elif self.drawMode == "SURFACE":
flag = 1
i = 0
for use, value, label, cr, cg, cb, ca in self._configuration['private']['isosurfaces']:
color = (cr, cg, cb, ca)
if None in color:
color = None
if use:
flag = 0
GL.glEnable(GL.GL_LIGHTING)
if color is not None:
GL.glColor4ub(color[0],
color[1],
color[2],
self._alpha)
colorflag = False
if self.__isosurfacesDict[i]['list'] > 0:
if self.__isosurfacesDict[i]['color'] == color:
colorflag = True
elif (self.__isosurfacesDict[i]['color'] != None) and\
(color != None):
colorflag = True
if self.__isosurfacesDict[i]['list'] > 0:
if (self.__isosurfacesDict[i]['value'] == value) and\
colorflag:
GL.glCallList(self.__isosurfacesDict[i]['list'])
i += 1
continue
GL.glDeleteLists(self.__isosurfacesDict[i]['list'],
1)
self.__isosurfacesDict[i]['value']= value
self.__isosurfacesDict[i]['color']= color
self.__isosurfacesDict[i]['list'] = GL.glGenLists(1)
GL.glNewList(self.__isosurfacesDict[i]['list'],
GL.GL_COMPILE)
GL.glBegin(GL.GL_TRIANGLES)
Object3DCTools.gridMarchingCubes(self._x, self._y, self._z, self.values, value, color, (1, 1, 1), 1)
#Object3DCTools.gridMarchingCubes(self._x, self._y, self._z, self.values, value, None, (1, 1, 1), 1)
GL.glEnd()
GL.glEndList()
GL.glCallList(self.__isosurfacesDict[i]['list'])
GL.glDisable(GL.GL_LIGHTING)
i += 1
if flag:
#This is useless, only isosurfaces makes sense
Object3DCTools.draw3DGridQuads(self._x,
self._y,
self._z,
self.vertexColors,
self.values,
self._configuration['private']['colorfilter'],
self._configuration['private']['useminmax'])
else:
print "UNSUPPORTED MODE"
GL.glPopAttrib()
if DEBUG:
print "Drawing takes ", time.time() - t0
def _getVertexSelectionColors(self):
self.vertexSelectionColors = numpy.zeros((self.nVertices,4),
numpy.uint8)
#split the color generation in two blocks
#to reduce the amount of memory needed
half = int(self.nVertices/2)
i = numpy.arange(0, half)
self.vertexSelectionColors[:half,0] = (i & 255)
self.vertexSelectionColors[:half,1] = ((i >> 8) & 255)
self.vertexSelectionColors[:half,2] = ((i >> 16) & 255)
self.vertexSelectionColors[:half,3] = 255 - (i >> 24)
i = numpy.arange(half, self.nVertices)
self.vertexSelectionColors[half:,0] = (i & 255)
self.vertexSelectionColors[half:,1] = ((i >> 8) & 255)
self.vertexSelectionColors[half:,2] = ((i >> 16) & 255)
self.vertexSelectionColors[half:,3] = 255 - (i >> 24)
def isVertexSelectionModeSupported(self):
return True
def buildPointList(self, selection=False):
if selection:
if self.vertexSelectionColors is None:
self._getVertexSelectionColors()
if self._configuration['private']['colorfilter']:
tinyNumber = 1.0e-10
minValue = self._configuration['common']['colormap'][2] + tinyNumber
maxValue = self._configuration['common']['colormap'][3] - tinyNumber
Object3DCTools.draw3DGridPoints(self._x,
self._y,
self._z,
self.vertexSelectionColors,
self.values,
0,
[1, minValue, maxValue])
else:
Object3DCTools.draw3DGridPoints(self._x,
self._y,
self._z,
self.vertexSelectionColors,
self.values,
0,
self._configuration['private']['useminmax'])
else:
Object3DCTools.draw3DGridPoints(self._x,
self._y,
self._z,
self.vertexColors,
self.values,
self._configuration['private']['colorfilter'],
self._configuration['private']['useminmax'])
def buildWireList(self):
Object3DCTools.draw3DGridLines(self._x,
self._y,
self._z,
self.vertexColors)
def __fillVerticesBufferObject(self):
if self.vertices is None:
self.vertices = Object3DCTools.get3DGridFromXYZ(self._x,
self._y,
self._z)
self.indices = numpy.arange(self.nVertices)
self._verticesBufferObject = buffers.VertexBuffer(self.vertices,
GL.GL_STATIC_DRAW)
self.vertices = None
print "self._vertexBufferObject = ", self._verticesBufferObject
def __fillVertexColorsBufferObject(self):
if self.vertexColors is None:
if self.vertexSelectionColors is None:
i = numpy.arange(self.nVertices)
self.vertexSelectionColors = numpy.zeros((self.nVertices,4),
numpy.uint8)
self.vertexSelectionColors[:,0] = (i & 255)
self.vertexSelectionColors[:,1] = ((i >> 8) & 255)
self.vertexSelectionColors[:,2] = ((i >> 16) & 255)
self.vertexSelectionColors[:,3] = 255 - (i >> 24)
self._vertexColorsBufferObject = buffers.VertexBuffer(self.vertexSelectionColors,
GL.GL_STATIC_DRAW)
print "self._vertexColorsBufferObject = ", self._vertexColorsBufferObject
def buildPointListNEW(self, selection=False):
if self._verticesBufferObject is None:
self.__fillVerticesBufferObject()
if self._vertexColorsBufferObject is None:
self.__fillVertexColorsBufferObject()
#self._vertexSelectionColorBufferObject = None
GL.glEnableClientState(GL.GL_VERTEX_ARRAY)
GL.glEnableClientState(GL.GL_COLOR_ARRAY)
self._verticesBufferObject.bind()
self._vertexColorsBufferObject.bind()
GL.glDrawElements(GL.GL_POINTS, self.indices)
GL.glDisableClientState(GL.GL_VERTEX_ARRAY)
GL.glDisableClientState(GL.GL_COLOR_ARRAY)
def buildPointListOLD(self):
if self.vertices is None:
self.vertices = Object3DCTools.get3DGridFromXYZ(self._x,
self._y,
self._z)
GL.glVertexPointerf(self.vertices)
GL.glColorPointerub(self.vertexColors)
GL.glEnableClientState(GL.GL_VERTEX_ARRAY)
GL.glEnableClientState(GL.GL_COLOR_ARRAY)
GL.glDrawArrays(GL.GL_POINTS, 0, self.nVertices)
def buildPointList0(self):
"""
This is just to test memory and speed
"""
n1, n2, n3 = 256, 256, 256
print "OLD TOTAL = ",71 * 80 * 2000
print "TOTAL = ", 256 * 256 * 256
zdata = numpy.arange(n1*n2*n3).astype(numpy.float32)
zdata.shape= -1, 1
print zdata.shape
(image,size,minmax)= spslut.transform(zdata,
(1,0),
(spslut.LINEAR,3.0),
"RGBX",
spslut.TEMP,
1,
(0, 1),
(0, 255),1)
image.shape = -1, 4
image[:,3] = 255
#self.vertexColors = image.astype(numpy.float32)
x = numpy.arange(n1).astype(numpy.float32)
y = numpy.arange(n2).astype(numpy.float32)
z = numpy.arange(n3).astype(numpy.float32)
#Object3DCTools.draw3DGridQuads(x, y, y)
#Object3DCTools.draw3DGridLines(x, y, z, image)
Object3DCTools.draw3DGridPoints(x, y, z, image)
self.zdata = zdata
def getIndexValues(self, index):
"""
x,y,z, I
"""
xindex = int(index/(self.ySize*self.zSize))
yindex = int((index % (self.ySize*self.zSize))/self.zSize)
zindex = index % self.zSize
#print "index = ", index, "xindex = ", xindex, "yindex = ", yindex, "zindex = ", zindex
if len(self.values.shape) == 3:
value = self.values[xindex, yindex, zindex]
else:
value = self.values[index]
return self._x[xindex], self._y[yindex], self._z[zindex], value
MENU_TEXT = '4D Stack'
def getObject3DInstance(config=None):
#for the time being a former configuration
#for serializing purposes is not implemented
#I do the import here for the case PyMca is not installed
#because the modules could be instanstiated without using
#this method
try:
from PyMca import EDFStack
from PyMca import TiffStack
except ImportError:
import EDFStack
import TiffStack
fileTypeList = ['EDF Z Stack (*edf *ccd)',
'EDF X Stack (*edf *ccd)',
'TIFF Stack (*tif *tiff)']
old = Object3DFileDialogs.Object3DDirs.nativeFileDialogs * 1
Object3DFileDialogs.Object3DDirs.nativeFileDialogs = False
fileList, filterUsed = Object3DFileDialogs.getFileList(None, fileTypeList,
"Please select the object file(s)",
"OPEN",
True)
Object3DFileDialogs.Object3DDirs.nativeFileDialogs = old
if not len(fileList):
return None
if filterUsed == fileTypeList[0]:
fileindex = 2
else:
fileindex = 1
#file index is irrelevant in case of an actual 3D stack.
filename = fileList[0]
legend = os.path.basename(filename)
if filterUsed == fileTypeList[2]:
#TIFF
stack = TiffStack.TiffStack(dtype=numpy.float32, imagestack=False)
stack.loadFileList(fileList, fileindex=1)
elif len(fileList) == 1:
stack = EDFStack.EDFStack(dtype=numpy.float32, imagestack=False)
stack.loadIndexedStack(filename, fileindex=fileindex)
else:
stack = EDFStack.EDFStack(dtype=numpy.float32, imagestack=False)
stack.loadFileList(fileList, fileindex=fileindex)
if stack is None:
raise IOError("Problem reading stack.")
object3D = Object3DStack(name=legend)
object3D.setStack(stack)
return object3D
if __name__ == "__main__":
import sys
from Object3D import SceneGLWindow
import os
try:
from PyMca import EDFStack
from PyMca import EdfFile
except ImportError:
import EDFStack
import EdfFile
import getopt
options = ''
longoptions = ["fileindex=","begin=", "end="]
try:
opts, args = getopt.getopt(
sys.argv[1:],
options,
longoptions)
except getopt.error,msg:
print msg
sys.exit(1)
fileindex = 2
begin = None
end = None
for opt, arg in opts:
if opt in '--begin':
begin = int(arg)
elif opt in '--end':
end = int(arg)
elif opt in '--fileindex':
fileindex = int(arg)
app = qt.QApplication(sys.argv)
window = SceneGLWindow.SceneGLWindow()
window.show()
if len(sys.argv) == 1:
object3D = getObject3DInstance()
if object3D is not None:
window.addObject(object3D)
else:
if len(sys.argv) > 1:
stack = EDFStack.EDFStack(dtype=numpy.float32, imagestack=False)
filename = args[0]
else:
stack = EDFStack.EDFStack(dtype=numpy.float32, imagestack=False)
filename = "..\COTTE\ch09\ch09__mca_0005_0000_0070.edf"
if os.path.exists(filename):
print "fileindex = ", fileindex
stack.loadIndexedStack(filename, begin=begin, end=end, fileindex=fileindex)
object3D = Object3DStack()
object3D.setStack(stack)
stack = 0
else:
print "filename %s does not exists" % filename
sys.exit(1)
time.sleep(1)
print "START ADDING"
window.addObject(object3D, "STACK")
window.setSelectedObject("STACK")
print "END ADDING"
window.glWidget.setZoomFactor(1.0)
window.show()
app.exec_()
|
gpl-2.0
|
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] |
kennethgillen/ansible
|
lib/ansible/modules/files/fetch.py
|
29
|
3714
|
# this is a virtual module that is entirely implemented server side
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
ANSIBLE_METADATA = {'metadata_version': '1.0',
'status': ['stableinterface'],
'supported_by': 'core'}
DOCUMENTATION = '''
---
module: fetch
short_description: Fetches a file from remote nodes
description:
- This module works like M(copy), but in reverse. It is used for fetching
files from remote machines and storing them locally in a file tree,
organized by hostname. Note that this module is written to transfer
log files that might not be present, so a missing remote file won't
be an error unless fail_on_missing is set to 'yes'.
version_added: "0.2"
options:
src:
description:
- The file on the remote system to fetch. This I(must) be a file, not a
directory. Recursive fetching may be supported in a later release.
required: true
default: null
aliases: []
dest:
description:
- A directory to save the file into. For example, if the I(dest)
directory is C(/backup) a I(src) file named C(/etc/profile) on host
C(host.example.com), would be saved into
C(/backup/host.example.com/etc/profile)
required: true
default: null
fail_on_missing:
version_added: "1.1"
description:
- When set to 'yes', the task will fail if the source file is missing.
required: false
choices: [ "yes", "no" ]
default: "no"
validate_checksum:
version_added: "1.4"
description:
- Verify that the source and destination checksums match after the files are fetched.
required: false
choices: [ "yes", "no" ]
default: "yes"
aliases: [ "validate_md5" ]
flat:
version_added: "1.2"
description:
- Allows you to override the default behavior of appending
hostname/path/to/file to the destination. If dest ends with '/', it
will use the basename of the source file, similar to the copy module.
Obviously this is only handy if the filenames are unique.
requirements: []
author:
- "Ansible Core Team"
- "Michael DeHaan"
notes:
- When running fetch with C(become), the M(slurp) module will also be
used to fetch the contents of the file for determining the remote
checksum. This effectively doubles the transfer size, and
depending on the file size can consume all available memory on the
remote or local hosts causing a C(MemoryError). Due to this it is
advisable to run this module without C(become) whenever possible.
'''
EXAMPLES = '''
# Store file into /tmp/fetched/host.example.com/tmp/somefile
- fetch:
src: /tmp/somefile
dest: /tmp/fetched
# Specifying a path directly
- fetch:
src: /tmp/somefile
dest: /tmp/prefix-{{ inventory_hostname }}
flat: yes
# Specifying a destination path
- fetch:
src: /tmp/uniquefile
dest: /tmp/special/
flat: yes
# Storing in a path relative to the playbook
- fetch:
src: /tmp/uniquefile
dest: special/prefix-{{ inventory_hostname }}
flat: yes
'''
|
gpl-3.0
|
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djhaskin987/psutil
|
test/_sunos.py
|
45
|
1345
|
#!/usr/bin/env python
# Copyright (c) 2009, Giampaolo Rodola'. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Sun OS specific tests. These are implicitly run by test_psutil.py."""
import sys
from test_psutil import sh, unittest
import psutil
class SunOSSpecificTestCase(unittest.TestCase):
def test_swap_memory(self):
out = sh('swap -l -k')
lines = out.strip().split('\n')[1:]
if not lines:
raise ValueError('no swap device(s) configured')
total = free = 0
for line in lines:
line = line.split()
t, f = line[-2:]
t = t.replace('K', '')
f = f.replace('K', '')
total += int(int(t) * 1024)
free += int(int(f) * 1024)
used = total - free
psutil_swap = psutil.swap_memory()
self.assertEqual(psutil_swap.total, total)
self.assertEqual(psutil_swap.used, used)
self.assertEqual(psutil_swap.free, free)
def test_main():
test_suite = unittest.TestSuite()
test_suite.addTest(unittest.makeSuite(SunOSSpecificTestCase))
result = unittest.TextTestRunner(verbosity=2).run(test_suite)
return result.wasSuccessful()
if __name__ == '__main__':
if not test_main():
sys.exit(1)
|
bsd-3-clause
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agraubert/agutil
|
agutil/parallel/src/dispatcher.py
|
1
|
2555
|
from .exceptions import _ParallelBackgroundException
from .worker import ThreadWorker, ProcessWorker
from itertools import zip_longest
WORKERTYPE_THREAD = ThreadWorker
WORKERTYPE_PROCESS = ProcessWorker
class IterDispatcher:
def __init__(
self,
func,
*args,
maximum=15,
workertype=WORKERTYPE_THREAD,
**kwargs
):
self.func = func
self.maximum = maximum
self.args = [iter(arg) for arg in args]
self.kwargs = {key: iter(v) for (key, v) in kwargs.items()}
self.worker = workertype
def run(self):
yield from self.dispatch()
def dispatch(self):
self.worker = self.worker(self.maximum)
try:
output = []
for args, kwargs in self._iterargs():
# _args = args if args is not None else []
# _kwargs = kwargs if kwargs is not None else {}
output.append(self.worker.work(
self.func,
*args,
**kwargs
))
for callback in output:
result = callback()
if isinstance(result, _ParallelBackgroundException):
raise result.exc
yield result
finally:
self.worker.close()
def _iterargs(self):
while True:
args = []
had_arg = False
for src in self.args:
try:
args.append(next(src))
had_arg = True
except StopIteration:
return # args.append(None)
kwargs = {}
for key, src in self.kwargs.items():
try:
kwargs[key] = next(src)
had_arg = True
except StopIteration:
return # kwargs[key] = None
if not had_arg:
return
yield args, kwargs
def __iter__(self):
yield from self.dispatch()
def is_alive(self):
return self.worker.is_alive()
class DemandDispatcher:
def __init__(self, func, maximum=15, workertype=WORKERTYPE_THREAD):
self.maximum = maximum
self.func = func
self.worker = workertype(self.maximum)
def dispatch(self, *args, **kwargs):
try:
return self.worker.work(self.func, *args, **kwargs)
except BaseException:
self.worker.close()
raise
def close(self):
self.worker.close()
|
mit
|
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noironetworks/nova
|
nova/tests/unit/virt/vmwareapi/test_ds_util_datastore_selection.py
|
42
|
7367
|
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import collections
import re
from oslo_utils import units
from oslo_vmware.objects import datastore as ds_obj
from nova import test
from nova.virt.vmwareapi import ds_util
ResultSet = collections.namedtuple('ResultSet', ['objects'])
ObjectContent = collections.namedtuple('ObjectContent', ['obj', 'propSet'])
DynamicProperty = collections.namedtuple('Property', ['name', 'val'])
MoRef = collections.namedtuple('ManagedObjectReference', ['value'])
class VMwareDSUtilDatastoreSelectionTestCase(test.NoDBTestCase):
def setUp(self):
super(VMwareDSUtilDatastoreSelectionTestCase, self).setUp()
self.data = [
['VMFS', 'os-some-name', True, 'normal', 987654321, 12346789],
['NFS', 'another-name', True, 'normal', 9876543210, 123467890],
['BAD', 'some-name-bad', True, 'normal', 98765432100, 1234678900],
['VMFS', 'some-name-good', False, 'normal', 987654321, 12346789],
['VMFS', 'new-name', True, 'inMaintenance', 987654321, 12346789]
]
def build_result_set(self, mock_data, name_list=None):
# datastores will have a moref_id of ds-000 and
# so on based on their index in the mock_data list
if name_list is None:
name_list = self.propset_name_list
objects = []
for id, row in enumerate(mock_data):
obj = ObjectContent(
obj=MoRef(value="ds-%03d" % id),
propSet=[])
for index, value in enumerate(row):
obj.propSet.append(
DynamicProperty(name=name_list[index], val=row[index]))
objects.append(obj)
return ResultSet(objects=objects)
@property
def propset_name_list(self):
return ['summary.type', 'summary.name', 'summary.accessible',
'summary.maintenanceMode', 'summary.capacity',
'summary.freeSpace']
def test_filter_datastores_simple(self):
datastores = self.build_result_set(self.data)
best_match = ds_obj.Datastore(ref='fake_ref', name='ds',
capacity=0, freespace=0)
rec = ds_util._select_datastore(None, datastores, best_match)
self.assertIsNotNone(rec.ref, "could not find datastore!")
self.assertEqual('ds-001', rec.ref.value,
"didn't find the right datastore!")
self.assertEqual(123467890, rec.freespace,
"did not obtain correct freespace!")
def test_filter_datastores_empty(self):
data = []
datastores = self.build_result_set(data)
best_match = ds_obj.Datastore(ref='fake_ref', name='ds',
capacity=0, freespace=0)
rec = ds_util._select_datastore(None, datastores, best_match)
self.assertEqual(best_match, rec)
def test_filter_datastores_no_match(self):
datastores = self.build_result_set(self.data)
datastore_regex = re.compile('no_match.*')
best_match = ds_obj.Datastore(ref='fake_ref', name='ds',
capacity=0, freespace=0)
rec = ds_util._select_datastore(None, datastores,
best_match,
datastore_regex)
self.assertEqual(best_match, rec, "did not match datastore properly")
def test_filter_datastores_specific_match(self):
data = [
['VMFS', 'os-some-name', True, 'normal', 987654321, 1234678],
['NFS', 'another-name', True, 'normal', 9876543210, 123467890],
['BAD', 'some-name-bad', True, 'normal', 98765432100, 1234678900],
['VMFS', 'some-name-good', True, 'normal', 987654321, 12346789],
['VMFS', 'some-other-good', False, 'normal', 987654321000,
12346789000],
['VMFS', 'new-name', True, 'inMaintenance', 987654321000,
12346789000]
]
# only the DS some-name-good is accessible and matches the regex
datastores = self.build_result_set(data)
datastore_regex = re.compile('.*-good$')
best_match = ds_obj.Datastore(ref='fake_ref', name='ds',
capacity=0, freespace=0)
rec = ds_util._select_datastore(None, datastores,
best_match,
datastore_regex)
self.assertIsNotNone(rec, "could not find datastore!")
self.assertEqual('ds-003', rec.ref.value,
"didn't find the right datastore!")
self.assertNotEqual('ds-004', rec.ref.value,
"accepted an unreachable datastore!")
self.assertEqual('some-name-good', rec.name)
self.assertEqual(12346789, rec.freespace,
"did not obtain correct freespace!")
self.assertEqual(987654321, rec.capacity,
"did not obtain correct capacity!")
def test_filter_datastores_missing_props(self):
data = [
['VMFS', 'os-some-name', 987654321, 1234678],
['NFS', 'another-name', 9876543210, 123467890],
]
# no matches are expected when 'summary.accessible' is missing
prop_names = ['summary.type', 'summary.name',
'summary.capacity', 'summary.freeSpace']
datastores = self.build_result_set(data, prop_names)
best_match = ds_obj.Datastore(ref='fake_ref', name='ds',
capacity=0, freespace=0)
rec = ds_util._select_datastore(None, datastores, best_match)
self.assertEqual(best_match, rec, "no matches were expected")
def test_filter_datastores_best_match(self):
data = [
['VMFS', 'spam-good', True, 20 * units.Gi, 10 * units.Gi],
['NFS', 'eggs-good', True, 40 * units.Gi, 15 * units.Gi],
['NFS41', 'nfs41-is-good', True, 35 * units.Gi, 12 * units.Gi],
['BAD', 'some-name-bad', True, 30 * units.Gi, 20 * units.Gi],
['VMFS', 'some-name-good', True, 50 * units.Gi, 5 * units.Gi],
['VMFS', 'some-other-good', True, 10 * units.Gi, 10 * units.Gi],
]
datastores = self.build_result_set(data)
datastore_regex = re.compile('.*-good$')
# the current best match is better than all candidates
best_match = ds_obj.Datastore(ref='ds-100', name='best-ds-good',
capacity=20 * units.Gi, freespace=19 * units.Gi)
rec = ds_util._select_datastore(None,
datastores,
best_match,
datastore_regex)
self.assertEqual(best_match, rec, "did not match datastore properly")
|
apache-2.0
|
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roselleebarle04/django
|
tests/i18n/patterns/tests.py
|
256
|
14326
|
from __future__ import unicode_literals
import os
from django.core.exceptions import ImproperlyConfigured
from django.core.urlresolvers import clear_url_caches, reverse, translate_url
from django.http import HttpResponsePermanentRedirect
from django.middleware.locale import LocaleMiddleware
from django.template import Context, Template
from django.test import SimpleTestCase, override_settings
from django.test.utils import override_script_prefix
from django.utils import translation
from django.utils._os import upath
class PermanentRedirectLocaleMiddleWare(LocaleMiddleware):
response_redirect_class = HttpResponsePermanentRedirect
@override_settings(
USE_I18N=True,
LOCALE_PATHS=[
os.path.join(os.path.dirname(upath(__file__)), 'locale'),
],
LANGUAGE_CODE='en-us',
LANGUAGES=[
('nl', 'Dutch'),
('en', 'English'),
('pt-br', 'Brazilian Portuguese'),
],
MIDDLEWARE_CLASSES=[
'django.middleware.locale.LocaleMiddleware',
'django.middleware.common.CommonMiddleware',
],
ROOT_URLCONF='i18n.patterns.urls.default',
TEMPLATES=[{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [os.path.join(os.path.dirname(upath(__file__)), 'templates')],
'OPTIONS': {
'context_processors': [
'django.template.context_processors.i18n',
],
},
}],
)
class URLTestCaseBase(SimpleTestCase):
"""
TestCase base-class for the URL tests.
"""
def setUp(self):
# Make sure the cache is empty before we are doing our tests.
clear_url_caches()
def tearDown(self):
# Make sure we will leave an empty cache for other testcases.
clear_url_caches()
class URLPrefixTests(URLTestCaseBase):
"""
Tests if the `i18n_patterns` is adding the prefix correctly.
"""
def test_not_prefixed(self):
with translation.override('en'):
self.assertEqual(reverse('not-prefixed'), '/not-prefixed/')
self.assertEqual(reverse('not-prefixed-included-url'), '/not-prefixed-include/foo/')
with translation.override('nl'):
self.assertEqual(reverse('not-prefixed'), '/not-prefixed/')
self.assertEqual(reverse('not-prefixed-included-url'), '/not-prefixed-include/foo/')
def test_prefixed(self):
with translation.override('en'):
self.assertEqual(reverse('prefixed'), '/en/prefixed/')
with translation.override('nl'):
self.assertEqual(reverse('prefixed'), '/nl/prefixed/')
@override_settings(ROOT_URLCONF='i18n.patterns.urls.wrong')
def test_invalid_prefix_use(self):
self.assertRaises(ImproperlyConfigured, lambda: reverse('account:register'))
@override_settings(ROOT_URLCONF='i18n.patterns.urls.disabled')
class URLDisabledTests(URLTestCaseBase):
@override_settings(USE_I18N=False)
def test_prefixed_i18n_disabled(self):
with translation.override('en'):
self.assertEqual(reverse('prefixed'), '/prefixed/')
with translation.override('nl'):
self.assertEqual(reverse('prefixed'), '/prefixed/')
@override_settings(ROOT_URLCONF='i18n.patterns.urls.path_unused')
class PathUnusedTests(URLTestCaseBase):
"""
Check that if no i18n_patterns is used in root urlconfs, then no
language activation happens based on url prefix.
"""
def test_no_lang_activate(self):
response = self.client.get('/nl/foo/')
self.assertEqual(response.status_code, 200)
self.assertEqual(response['content-language'], 'en')
self.assertEqual(response.context['LANGUAGE_CODE'], 'en')
class URLTranslationTests(URLTestCaseBase):
"""
Tests if the pattern-strings are translated correctly (within the
`i18n_patterns` and the normal `patterns` function).
"""
def test_no_prefix_translated(self):
with translation.override('en'):
self.assertEqual(reverse('no-prefix-translated'), '/translated/')
self.assertEqual(reverse('no-prefix-translated-slug', kwargs={'slug': 'yeah'}), '/translated/yeah/')
with translation.override('nl'):
self.assertEqual(reverse('no-prefix-translated'), '/vertaald/')
self.assertEqual(reverse('no-prefix-translated-slug', kwargs={'slug': 'yeah'}), '/vertaald/yeah/')
with translation.override('pt-br'):
self.assertEqual(reverse('no-prefix-translated'), '/traduzidos/')
self.assertEqual(reverse('no-prefix-translated-slug', kwargs={'slug': 'yeah'}), '/traduzidos/yeah/')
def test_users_url(self):
with translation.override('en'):
self.assertEqual(reverse('users'), '/en/users/')
with translation.override('nl'):
self.assertEqual(reverse('users'), '/nl/gebruikers/')
self.assertEqual(reverse('prefixed_xml'), '/nl/prefixed.xml')
with translation.override('pt-br'):
self.assertEqual(reverse('users'), '/pt-br/usuarios/')
def test_translate_url_utility(self):
with translation.override('en'):
self.assertEqual(translate_url('/en/non-existent/', 'nl'), '/en/non-existent/')
self.assertEqual(translate_url('/en/users/', 'nl'), '/nl/gebruikers/')
# Namespaced URL
self.assertEqual(translate_url('/en/account/register/', 'nl'), '/nl/profiel/registeren/')
self.assertEqual(translation.get_language(), 'en')
with translation.override('nl'):
self.assertEqual(translate_url('/nl/gebruikers/', 'en'), '/en/users/')
self.assertEqual(translation.get_language(), 'nl')
class URLNamespaceTests(URLTestCaseBase):
"""
Tests if the translations are still working within namespaces.
"""
def test_account_register(self):
with translation.override('en'):
self.assertEqual(reverse('account:register'), '/en/account/register/')
with translation.override('nl'):
self.assertEqual(reverse('account:register'), '/nl/profiel/registeren/')
class URLRedirectTests(URLTestCaseBase):
"""
Tests if the user gets redirected to the right URL when there is no
language-prefix in the request URL.
"""
def test_no_prefix_response(self):
response = self.client.get('/not-prefixed/')
self.assertEqual(response.status_code, 200)
def test_en_redirect(self):
response = self.client.get('/account/register/', HTTP_ACCEPT_LANGUAGE='en')
self.assertRedirects(response, '/en/account/register/')
response = self.client.get(response['location'])
self.assertEqual(response.status_code, 200)
def test_en_redirect_wrong_url(self):
response = self.client.get('/profiel/registeren/', HTTP_ACCEPT_LANGUAGE='en')
self.assertEqual(response.status_code, 404)
def test_nl_redirect(self):
response = self.client.get('/profiel/registeren/', HTTP_ACCEPT_LANGUAGE='nl')
self.assertRedirects(response, '/nl/profiel/registeren/')
response = self.client.get(response['location'])
self.assertEqual(response.status_code, 200)
def test_nl_redirect_wrong_url(self):
response = self.client.get('/account/register/', HTTP_ACCEPT_LANGUAGE='nl')
self.assertEqual(response.status_code, 404)
def test_pt_br_redirect(self):
response = self.client.get('/conta/registre-se/', HTTP_ACCEPT_LANGUAGE='pt-br')
self.assertRedirects(response, '/pt-br/conta/registre-se/')
response = self.client.get(response['location'])
self.assertEqual(response.status_code, 200)
def test_pl_pl_redirect(self):
# language from outside of the supported LANGUAGES list
response = self.client.get('/account/register/', HTTP_ACCEPT_LANGUAGE='pl-pl')
self.assertRedirects(response, '/en/account/register/')
response = self.client.get(response['location'])
self.assertEqual(response.status_code, 200)
@override_settings(
MIDDLEWARE_CLASSES=[
'i18n.patterns.tests.PermanentRedirectLocaleMiddleWare',
'django.middleware.common.CommonMiddleware',
],
)
def test_custom_redirect_class(self):
response = self.client.get('/account/register/', HTTP_ACCEPT_LANGUAGE='en')
self.assertRedirects(response, '/en/account/register/', 301)
class URLVaryAcceptLanguageTests(URLTestCaseBase):
"""
Tests that 'Accept-Language' is not added to the Vary header when using
prefixed URLs.
"""
def test_no_prefix_response(self):
response = self.client.get('/not-prefixed/')
self.assertEqual(response.status_code, 200)
self.assertEqual(response.get('Vary'), 'Accept-Language')
def test_en_redirect(self):
response = self.client.get('/account/register/', HTTP_ACCEPT_LANGUAGE='en')
self.assertRedirects(response, '/en/account/register/')
self.assertFalse(response.get('Vary'))
response = self.client.get(response['location'])
self.assertEqual(response.status_code, 200)
self.assertFalse(response.get('Vary'))
class URLRedirectWithoutTrailingSlashTests(URLTestCaseBase):
"""
Tests the redirect when the requested URL doesn't end with a slash
(`settings.APPEND_SLASH=True`).
"""
def test_not_prefixed_redirect(self):
response = self.client.get('/not-prefixed', HTTP_ACCEPT_LANGUAGE='en')
self.assertRedirects(response, '/not-prefixed/', 301)
def test_en_redirect(self):
response = self.client.get('/account/register', HTTP_ACCEPT_LANGUAGE='en', follow=True)
# We only want one redirect, bypassing CommonMiddleware
self.assertListEqual(response.redirect_chain, [('/en/account/register/', 302)])
self.assertRedirects(response, '/en/account/register/', 302)
response = self.client.get('/prefixed.xml', HTTP_ACCEPT_LANGUAGE='en', follow=True)
self.assertRedirects(response, '/en/prefixed.xml', 302)
class URLRedirectWithoutTrailingSlashSettingTests(URLTestCaseBase):
"""
Tests the redirect when the requested URL doesn't end with a slash
(`settings.APPEND_SLASH=False`).
"""
@override_settings(APPEND_SLASH=False)
def test_not_prefixed_redirect(self):
response = self.client.get('/not-prefixed', HTTP_ACCEPT_LANGUAGE='en')
self.assertEqual(response.status_code, 404)
@override_settings(APPEND_SLASH=False)
def test_en_redirect(self):
response = self.client.get('/account/register-without-slash', HTTP_ACCEPT_LANGUAGE='en')
self.assertRedirects(response, '/en/account/register-without-slash', 302)
response = self.client.get(response['location'])
self.assertEqual(response.status_code, 200)
class URLResponseTests(URLTestCaseBase):
"""
Tests if the response has the right language-code.
"""
def test_not_prefixed_with_prefix(self):
response = self.client.get('/en/not-prefixed/')
self.assertEqual(response.status_code, 404)
def test_en_url(self):
response = self.client.get('/en/account/register/')
self.assertEqual(response.status_code, 200)
self.assertEqual(response['content-language'], 'en')
self.assertEqual(response.context['LANGUAGE_CODE'], 'en')
def test_nl_url(self):
response = self.client.get('/nl/profiel/registeren/')
self.assertEqual(response.status_code, 200)
self.assertEqual(response['content-language'], 'nl')
self.assertEqual(response.context['LANGUAGE_CODE'], 'nl')
def test_wrong_en_prefix(self):
response = self.client.get('/en/profiel/registeren/')
self.assertEqual(response.status_code, 404)
def test_wrong_nl_prefix(self):
response = self.client.get('/nl/account/register/')
self.assertEqual(response.status_code, 404)
def test_pt_br_url(self):
response = self.client.get('/pt-br/conta/registre-se/')
self.assertEqual(response.status_code, 200)
self.assertEqual(response['content-language'], 'pt-br')
self.assertEqual(response.context['LANGUAGE_CODE'], 'pt-br')
class URLRedirectWithScriptAliasTests(URLTestCaseBase):
"""
#21579 - LocaleMiddleware should respect the script prefix.
"""
def test_language_prefix_with_script_prefix(self):
prefix = '/script_prefix'
with override_script_prefix(prefix):
response = self.client.get('/prefixed/', HTTP_ACCEPT_LANGUAGE='en', SCRIPT_NAME=prefix)
self.assertRedirects(response, '%s/en/prefixed/' % prefix, target_status_code=404)
class URLTagTests(URLTestCaseBase):
"""
Test if the language tag works.
"""
def test_strings_only(self):
t = Template("""{% load i18n %}
{% language 'nl' %}{% url 'no-prefix-translated' %}{% endlanguage %}
{% language 'pt-br' %}{% url 'no-prefix-translated' %}{% endlanguage %}""")
self.assertEqual(t.render(Context({})).strip().split(),
['/vertaald/', '/traduzidos/'])
def test_context(self):
ctx = Context({'lang1': 'nl', 'lang2': 'pt-br'})
tpl = Template("""{% load i18n %}
{% language lang1 %}{% url 'no-prefix-translated' %}{% endlanguage %}
{% language lang2 %}{% url 'no-prefix-translated' %}{% endlanguage %}""")
self.assertEqual(tpl.render(ctx).strip().split(),
['/vertaald/', '/traduzidos/'])
def test_args(self):
tpl = Template("""{% load i18n %}
{% language 'nl' %}{% url 'no-prefix-translated-slug' 'apo' %}{% endlanguage %}
{% language 'pt-br' %}{% url 'no-prefix-translated-slug' 'apo' %}{% endlanguage %}""")
self.assertEqual(tpl.render(Context({})).strip().split(),
['/vertaald/apo/', '/traduzidos/apo/'])
def test_kwargs(self):
tpl = Template("""{% load i18n %}
{% language 'nl' %}{% url 'no-prefix-translated-slug' slug='apo' %}{% endlanguage %}
{% language 'pt-br' %}{% url 'no-prefix-translated-slug' slug='apo' %}{% endlanguage %}""")
self.assertEqual(tpl.render(Context({})).strip().split(),
['/vertaald/apo/', '/traduzidos/apo/'])
|
bsd-3-clause
|
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ageron/tensorflow
|
tensorflow/python/kernel_tests/svd_op_test.py
|
5
|
14092
|
# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for tensorflow.ops.math_ops.matrix_inverse."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from tensorflow.python import tf2
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import test_util
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import gradient_checker
from tensorflow.python.ops import gradients_impl
from tensorflow.python.ops import linalg_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import random_ops
from tensorflow.python.platform import test
def _AddTest(test_class, op_name, testcase_name, fn):
test_name = "_".join(["test", op_name, testcase_name])
if hasattr(test_class, test_name):
raise RuntimeError("Test %s defined more than once" % test_name)
setattr(test_class, test_name, fn)
class SvdOpTest(test.TestCase):
@test_util.run_v1_only("b/120545219")
def testWrongDimensions(self):
# The input to svd should be a tensor of at least rank 2.
scalar = constant_op.constant(1.)
with self.assertRaisesRegexp(ValueError,
"Shape must be at least rank 2 but is rank 0"):
linalg_ops.svd(scalar)
vector = constant_op.constant([1., 2.])
with self.assertRaisesRegexp(ValueError,
"Shape must be at least rank 2 but is rank 1"):
linalg_ops.svd(vector)
@test_util.run_v1_only("b/120545219")
def testConcurrentExecutesWithoutError(self):
with self.session(use_gpu=True) as sess:
all_ops = []
for compute_uv_ in True, False:
for full_matrices_ in True, False:
matrix1 = random_ops.random_normal([5, 5], seed=42)
matrix2 = random_ops.random_normal([5, 5], seed=42)
if compute_uv_:
s1, u1, v1 = linalg_ops.svd(
matrix1, compute_uv=compute_uv_, full_matrices=full_matrices_)
s2, u2, v2 = linalg_ops.svd(
matrix2, compute_uv=compute_uv_, full_matrices=full_matrices_)
all_ops += [s1, u1, v1, s2, u2, v2]
else:
s1 = linalg_ops.svd(
matrix1, compute_uv=compute_uv_, full_matrices=full_matrices_)
s2 = linalg_ops.svd(
matrix2, compute_uv=compute_uv_, full_matrices=full_matrices_)
all_ops += [s1, s2]
val = self.evaluate(all_ops)
for i in range(2):
s = 6 * i
self.assertAllEqual(val[s], val[s + 3]) # s1 == s2
self.assertAllEqual(val[s + 1], val[s + 4]) # u1 == u2
self.assertAllEqual(val[s + 2], val[s + 5]) # v1 == v2
for i in range(2):
s = 12 + 2 * i
self.assertAllEqual(val[s], val[s + 1]) # s1 == s2
def _GetSvdOpTest(dtype_, shape_, use_static_shape_, compute_uv_,
full_matrices_):
def CompareSingularValues(self, x, y, tol):
self.assertAllClose(x, y, atol=(x[0] + y[0]) * tol)
def CompareSingularVectors(self, x, y, rank, tol):
# We only compare the first 'rank' singular vectors since the
# remainder form an arbitrary orthonormal basis for the
# (row- or column-) null space, whose exact value depends on
# implementation details. Notice that since we check that the
# matrices of singular vectors are unitary elsewhere, we do
# implicitly test that the trailing vectors of x and y span the
# same space.
x = x[..., 0:rank]
y = y[..., 0:rank]
# Singular vectors are only unique up to sign (complex phase factor for
# complex matrices), so we normalize the sign first.
sum_of_ratios = np.sum(np.divide(y, x), -2, keepdims=True)
phases = np.divide(sum_of_ratios, np.abs(sum_of_ratios))
x *= phases
self.assertAllClose(x, y, atol=2 * tol)
def CheckApproximation(self, a, u, s, v, full_matrices_, tol):
# Tests that a ~= u*diag(s)*transpose(v).
batch_shape = a.shape[:-2]
m = a.shape[-2]
n = a.shape[-1]
diag_s = math_ops.cast(array_ops.matrix_diag(s), dtype=dtype_)
if full_matrices_:
if m > n:
zeros = array_ops.zeros(batch_shape + (m - n, n), dtype=dtype_)
diag_s = array_ops.concat([diag_s, zeros], a.ndim - 2)
elif n > m:
zeros = array_ops.zeros(batch_shape + (m, n - m), dtype=dtype_)
diag_s = array_ops.concat([diag_s, zeros], a.ndim - 1)
a_recon = math_ops.matmul(u, diag_s)
a_recon = math_ops.matmul(a_recon, v, adjoint_b=True)
self.assertAllClose(a_recon, a, rtol=tol, atol=tol)
def CheckUnitary(self, x, tol):
# Tests that x[...,:,:]^H * x[...,:,:] is close to the identity.
xx = math_ops.matmul(x, x, adjoint_a=True)
identity = array_ops.matrix_band_part(array_ops.ones_like(xx), 0, 0)
self.assertAllClose(identity, xx, atol=tol)
@test_util.run_v1_only("b/120545219")
def Test(self):
is_complex = dtype_ in (np.complex64, np.complex128)
is_single = dtype_ in (np.float32, np.complex64)
tol = 3e-4 if is_single else 1e-12
if test.is_gpu_available():
# The gpu version returns results that are much less accurate.
tol *= 100
np.random.seed(42)
x_np = np.random.uniform(
low=-1.0, high=1.0, size=np.prod(shape_)).reshape(shape_).astype(dtype_)
if is_complex:
x_np += 1j * np.random.uniform(
low=-1.0, high=1.0,
size=np.prod(shape_)).reshape(shape_).astype(dtype_)
with self.session(use_gpu=True) as sess:
if use_static_shape_:
x_tf = constant_op.constant(x_np)
else:
x_tf = array_ops.placeholder(dtype_)
if compute_uv_:
s_tf, u_tf, v_tf = linalg_ops.svd(
x_tf, compute_uv=compute_uv_, full_matrices=full_matrices_)
if use_static_shape_:
s_tf_val, u_tf_val, v_tf_val = self.evaluate([s_tf, u_tf, v_tf])
else:
s_tf_val, u_tf_val, v_tf_val = sess.run(
[s_tf, u_tf, v_tf], feed_dict={x_tf: x_np})
else:
s_tf = linalg_ops.svd(
x_tf, compute_uv=compute_uv_, full_matrices=full_matrices_)
if use_static_shape_:
s_tf_val = self.evaluate(s_tf)
else:
s_tf_val = sess.run(s_tf, feed_dict={x_tf: x_np})
if compute_uv_:
u_np, s_np, v_np = np.linalg.svd(
x_np, compute_uv=compute_uv_, full_matrices=full_matrices_)
else:
s_np = np.linalg.svd(
x_np, compute_uv=compute_uv_, full_matrices=full_matrices_)
# We explicitly avoid the situation where numpy eliminates a first
# dimension that is equal to one.
s_np = np.reshape(s_np, s_tf_val.shape)
CompareSingularValues(self, s_np, s_tf_val, tol)
if compute_uv_:
CompareSingularVectors(self, u_np, u_tf_val, min(shape_[-2:]), tol)
CompareSingularVectors(self,
np.conj(np.swapaxes(v_np, -2, -1)), v_tf_val,
min(shape_[-2:]), tol)
CheckApproximation(self, x_np, u_tf_val, s_tf_val, v_tf_val,
full_matrices_, tol)
CheckUnitary(self, u_tf_val, tol)
CheckUnitary(self, v_tf_val, tol)
return Test
class SvdGradOpTest(test.TestCase):
pass # Filled in below
def _NormalizingSvd(tf_a, full_matrices_):
tf_s, tf_u, tf_v = linalg_ops.svd(
tf_a, compute_uv=True, full_matrices=full_matrices_)
# Singular vectors are only unique up to an arbitrary phase. We normalize
# the vectors such that the first component of u (if m >=n) or v (if n > m)
# have phase 0.
m = tf_a.shape[-2]
n = tf_a.shape[-1]
if m >= n:
top_rows = tf_u[..., 0:1, :]
else:
top_rows = tf_v[..., 0:1, :]
if tf_u.dtype.is_complex:
angle = -math_ops.angle(top_rows)
phase = math_ops.complex(math_ops.cos(angle), math_ops.sin(angle))
else:
phase = math_ops.sign(top_rows)
tf_u *= phase[..., :m]
tf_v *= phase[..., :n]
return tf_s, tf_u, tf_v
def _GetSvdGradOpTest(dtype_, shape_, compute_uv_, full_matrices_):
@test_util.run_v1_only("b/120545219")
def Test(self):
np.random.seed(42)
a = np.random.uniform(low=-1.0, high=1.0, size=shape_).astype(dtype_)
if dtype_ in [np.complex64, np.complex128]:
a += 1j * np.random.uniform(
low=-1.0, high=1.0, size=shape_).astype(dtype_)
# Optimal stepsize for central difference is O(epsilon^{1/3}).
# See Equation (21) in:
# http://www.karenkopecky.net/Teaching/eco613614/Notes_NumericalDifferentiation.pdf
# TODO(rmlarsen): Move step size control to gradient checker.
epsilon = np.finfo(dtype_).eps
delta = 0.1 * epsilon**(1.0 / 3.0)
if dtype_ in [np.float32, np.complex64]:
tol = 3e-2
else:
tol = 1e-6
with self.session(use_gpu=True):
tf_a = constant_op.constant(a)
if compute_uv_:
tf_s, tf_u, tf_v = _NormalizingSvd(tf_a, full_matrices_)
outputs = [tf_s, tf_u, tf_v]
else:
tf_s = linalg_ops.svd(tf_a, compute_uv=False)
outputs = [tf_s]
for b in outputs:
x_init = np.random.uniform(
low=-1.0, high=1.0, size=shape_).astype(dtype_)
if dtype_ in [np.complex64, np.complex128]:
x_init += 1j * np.random.uniform(
low=-1.0, high=1.0, size=shape_).astype(dtype_)
theoretical, numerical = gradient_checker.compute_gradient(
tf_a,
tf_a.get_shape().as_list(),
b,
b.get_shape().as_list(),
x_init_value=x_init,
delta=delta)
self.assertAllClose(theoretical, numerical, atol=tol, rtol=tol)
return Test
class SvdGradGradOpTest(test.TestCase):
pass # Filled in below
def _GetSvdGradGradOpTest(dtype_, shape_, compute_uv_, full_matrices_):
@test_util.run_v1_only("b/120545219")
def Test(self):
np.random.seed(42)
a = np.random.uniform(low=-1.0, high=1.0, size=shape_).astype(dtype_)
if dtype_ in [np.complex64, np.complex128]:
a += 1j * np.random.uniform(
low=-1.0, high=1.0, size=shape_).astype(dtype_)
# Optimal stepsize for central difference is O(epsilon^{1/3}).
# See Equation (21) in:
# http://www.karenkopecky.net/Teaching/eco613614/Notes_NumericalDifferentiation.pdf
# TODO(rmlarsen): Move step size control to gradient checker.
epsilon = np.finfo(dtype_).eps
delta = 0.1 * epsilon**(1.0 / 3.0)
tol = 1e-5
with self.session(use_gpu=True):
tf_a = constant_op.constant(a)
if compute_uv_:
tf_s, tf_u, tf_v = _NormalizingSvd(tf_a, full_matrices_)
outputs = [tf_s, tf_u, tf_v]
else:
tf_s = linalg_ops.svd(tf_a, compute_uv=False)
outputs = [tf_s]
outputs_sums = [math_ops.reduce_sum(o) for o in outputs]
tf_func_outputs = math_ops.add_n(outputs_sums)
grad = gradients_impl.gradients(tf_func_outputs, tf_a)[0]
x_init = np.random.uniform(
low=-1.0, high=1.0, size=shape_).astype(dtype_)
if dtype_ in [np.complex64, np.complex128]:
x_init += 1j * np.random.uniform(
low=-1.0, high=1.0, size=shape_).astype(dtype_)
theoretical, numerical = gradient_checker.compute_gradient(
tf_a,
tf_a.get_shape().as_list(),
grad,
grad.get_shape().as_list(),
x_init_value=x_init,
delta=delta)
self.assertAllClose(theoretical, numerical, atol=tol, rtol=tol)
return Test
if __name__ == "__main__":
for compute_uv in False, True:
for full_matrices in False, True:
for dtype in np.float32, np.float64, np.complex64, np.complex128:
for rows in 1, 2, 5, 10, 32, 100:
for cols in 1, 2, 5, 10, 32, 100:
for batch_dims in [(), (3,)] + [(3, 2)] * (max(rows, cols) < 10):
shape = batch_dims + (rows, cols)
# TF2 does not support placeholders under eager so we skip it
for use_static_shape in set([True, tf2.enabled()]):
name = "%s_%s_static_shape_%s__compute_uv_%s_full_%s" % (
dtype.__name__, "_".join(map(str, shape)), use_static_shape,
compute_uv, full_matrices)
_AddTest(SvdOpTest, "Svd", name,
_GetSvdOpTest(dtype, shape, use_static_shape,
compute_uv, full_matrices))
for compute_uv in False, True:
for full_matrices in False, True:
dtypes = ([np.float32, np.float64]
+ [np.complex64, np.complex128] * (not compute_uv))
for dtype in dtypes:
mat_shapes = [(10, 11), (11, 10), (11, 11), (2, 2, 2, 3)]
if not full_matrices or not compute_uv:
mat_shapes += [(5, 11), (11, 5)]
for mat_shape in mat_shapes:
for batch_dims in [(), (3,)]:
shape = batch_dims + mat_shape
name = "%s_%s_compute_uv_%s_full_%s" % (
dtype.__name__, "_".join(map(str, shape)), compute_uv,
full_matrices)
_AddTest(SvdGradOpTest, "SvdGrad", name,
_GetSvdGradOpTest(dtype, shape, compute_uv, full_matrices))
# The results are too inacurate for float32.
if dtype == np.float64:
_AddTest(
SvdGradGradOpTest, "SvdGradGrad", name,
_GetSvdGradGradOpTest(dtype, shape, compute_uv,
full_matrices))
test.main()
|
apache-2.0
|
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Theer108/invenio
|
invenio/modules/jsonalchemy/bases.py
|
17
|
1636
|
# -*- coding: utf-8 -*-
#
# This file is part of Invenio.
# Copyright (C) 2014 CERN.
#
# Invenio is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License as
# published by the Free Software Foundation; either version 2 of the
# License, or (at your option) any later version.
#
# Invenio is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Invenio; if not, write to the Free Software Foundation, Inc.,
# 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA.
r"""General extensions for JSON objects.
JSONAlchemy allows the developer to extend the behavior or capabilities of the
JSON objects using `extensions`. For more information about how extensions
works check :class:`invenio.modules.jsonalchemy.jsonext.parsers.\
extension_model_parser.ExtensionModelParser`.
"""
class Versionable(object):
"""Versionable behavior for JSONAlchemy models."""
def update(self):
"""Create new revision of the object and saves link to the old one."""
# We need a copy not to modify references to the old object!
cls = self.__class__
data = self.dumps()
self = cls(data)
self['older_version'] = self['_id']
self['_id'] = str(__import__('uuid').uuid4())
# self.set_default_value('_id') # pylint: disable=E1101
return super(Versionable, self).update()
|
gpl-2.0
|
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juliancantillo/royal-films
|
config/settings/local.py
|
1
|
1950
|
# -*- coding: utf-8 -*-
'''
Local settings
- Run in Debug mode
- Use console backend for emails
- Add Django Debug Toolbar
- Add django-extensions as app
'''
from .common import * # noqa
# DEBUG
# ------------------------------------------------------------------------------
DEBUG = env.bool('DJANGO_DEBUG', default=True)
TEMPLATES[0]['OPTIONS']['debug'] = DEBUG
# SECRET CONFIGURATION
# ------------------------------------------------------------------------------
# See: https://docs.djangoproject.com/en/dev/ref/settings/#secret-key
# Note: This key only used for development and testing.
SECRET_KEY = env("DJANGO_SECRET_KEY", default='t3kohnptyzfb7v@s@4dlm2o1356rz&^oamd-y34qat^^69b+s(')
# Mail settings
# ------------------------------------------------------------------------------
EMAIL_HOST = 'localhost'
EMAIL_PORT = 1025
EMAIL_BACKEND = env('DJANGO_EMAIL_BACKEND',
default='django.core.mail.backends.console.EmailBackend')
# CACHING
# ------------------------------------------------------------------------------
CACHES = {
'default': {
'BACKEND': 'django.core.cache.backends.locmem.LocMemCache',
'LOCATION': ''
}
}
# django-debug-toolbar
# ------------------------------------------------------------------------------
MIDDLEWARE_CLASSES += ('debug_toolbar.middleware.DebugToolbarMiddleware',)
INSTALLED_APPS += ('debug_toolbar', )
INTERNAL_IPS = ('127.0.0.1', '10.0.2.2',)
DEBUG_TOOLBAR_CONFIG = {
'DISABLE_PANELS': [
'debug_toolbar.panels.redirects.RedirectsPanel',
],
'SHOW_TEMPLATE_CONTEXT': True,
}
# django-extensions
# ------------------------------------------------------------------------------
INSTALLED_APPS += ('django_extensions', )
# TESTING
# ------------------------------------------------------------------------------
TEST_RUNNER = 'django.test.runner.DiscoverRunner'
# Your local stuff: Below this line define 3rd party library settings
|
mit
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] |
madengr/ham2mon
|
apps/cursesgui.py
|
2
|
20956
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Created on Sun Jul 5 17:16:22 2015
@author: madengr
"""
import locale
locale.setlocale(locale.LC_ALL, '')
import curses
import time
import numpy as np
class SpectrumWindow(object):
"""Curses spectrum display window
Args:
screen (object): a curses screen object
Attributes:
max_db (float): Top of window in dB
min_db (float): Bottom of window in dB
threshold_db (float): Threshold horizontal line
"""
def __init__(self, screen):
self.screen = screen
# Set default values
self.max_db = 50.0
self.min_db = -20.0
self.threshold_db = 20.0
# Create a window object in top half of the screen, within the border
screen_dims = screen.getmaxyx()
height = int(screen_dims[0]/2.0)
width = screen_dims[1]-2
self.win = curses.newwin(height, width, 1, 1)
self.dims = self.win.getmaxyx()
# Right end of window resreved for string of N charachters
self.chars = 7
def draw_spectrum(self, data):
"""Scales input spectral data to window dimensions and draws bar graph
Args:
data (numpy.ndarray): FFT power spectrum data in linear, not dB
Test cases for data with min_db=-100 and max_db=0 on 80x24 terminal:
1.0E-10 draws nothing since it is not above -100 dB
1.1E-10 draws one row
1.0E-05 draws 5 rows
1.0E+00 draws 10 rows
1.0E+01 draws 10 rows
"""
# Keep min_db to 10 dB below max_db
if self.min_db > (self.max_db - 10):
self.min_db = self.max_db - 10
# Split the data into N window bins
# N is window width between border (i.e. self.dims[1]-2 )
# Data must be at least as long as the window width or crash
# Use the maximum value from each input data bin for the window bin
win_bins = np.array_split(data, self.dims[1]-self.chars)
win_bin_max = []
for win_bin in win_bins:
win_bin_max.append(np.max(win_bin))
# Convert to dB
win_bin_max_db = 10*np.log10(win_bin_max)
# The plot windows starts from max_db at the top
# and draws DOWNWARD to min_db (remember this is a curses window).
# Thus linear scaling goes from min_y=1 at the top
# and draws DOWNWARD to max_y=dims[0]-1 at the bottom
# The "1" and "-1" is to account for the border at top and bottom
min_y = 1
max_y = self.dims[0]-1
# Scaling factor for plot
scale = (min_y-max_y)/(self.max_db-self.min_db)
# Generate y position, clip to window, and convert to int
pos_y = (win_bin_max_db - self.max_db) * scale
pos_y = np.clip(pos_y, min_y, max_y)
pos_y = pos_y.astype(int)
# Clear previous contents, draw border, and title
self.win.clear()
self.win.border(0)
self.win.addnstr(0, self.dims[1]/2-4, "SPECTRUM", 8,
curses.color_pair(4))
# Draw the bars
for pos_x in range(len(pos_y)):
# Invert the y fill since we want bars
# Offset x (column) by 1 so it does not start on the border
self.win.vline(pos_y[pos_x], pos_x+1, "*", max_y-pos_y[pos_x])
# Draw the max_db and min_db strings
string = ">" + "%+03d" % self.max_db
self.win.addnstr(0, 1 + self.dims[1] - self.chars, string, self.chars,
curses.color_pair(1))
string = ">" + "%+03d" % self.min_db
self.win.addnstr(max_y, 1 + self.dims[1] - self.chars, string,
self.chars, curses.color_pair(3))
# Generate threshold line, clip to window, and convert to int
pos_yt = (self.threshold_db - self.max_db) * scale
pos_yt = np.clip(pos_yt, min_y, max_y-1)
pos_yt = pos_yt.astype(int)
# Draw the theshold line
# x=1 start to account for left border
self.win.hline(pos_yt, 1, "-", len(pos_y))
# Draw the theshold string
string = ">" + "%+03d" % self.threshold_db
self.win.addnstr(pos_yt, (1 + self.dims[1] - self.chars), string,
self.chars, curses.color_pair(2))
# Hide cursor
self.win.leaveok(1)
# Update virtual window
self.win.noutrefresh()
def proc_keyb(self, keyb):
"""Process keystrokes
Args:
keyb (int): keystroke in ASCII
Returns:
bool: True if receiver needs tuning, False if not
"""
if keyb == ord('t'):
self.threshold_db += 5
return True
elif keyb == ord('r'):
self.threshold_db -= 5
return True
elif keyb == ord('T'):
self.threshold_db += 1
return True
elif keyb == ord('R'):
self.threshold_db -= 1
return True
elif keyb == ord('p'):
self.max_db += 10
elif keyb == ord('o'):
self.max_db -= 10
elif keyb == ord('w'):
self.min_db += 10
elif keyb == ord('q'):
self.min_db -= 10
else:
pass
return False
class ChannelWindow(object):
"""Curses channel display window
Args:
screen (object): a curses screen object
"""
# pylint: disable=too-few-public-methods
def __init__(self, screen):
self.screen = screen
# Create a window object in the bottom half of the screen
# Make it about 1/3 the screen width
# Place on left side and to the right of the border
screen_dims = screen.getmaxyx()
height = int(screen_dims[0]/2.0)-2
width = int(screen_dims[1]/3.0)-1
self.win = curses.newwin(height, width, height + 3, 1)
self.dims = self.win.getmaxyx()
def draw_channels(self, gui_tuned_channels):
"""Draws tuned channels list
Args:
rf_channels [string]: List of strings in MHz
"""
# Clear previous contents, draw border, and title
self.win.clear()
self.win.border(0)
self.win.addnstr(0, self.dims[1]/2-4, "CHANNELS", 8,
curses.color_pair(4))
# Limit the displayed channels to no more than two rows
max_length = 2*(self.dims[0]-2)
if len(gui_tuned_channels) > max_length:
gui_tuned_channels = gui_tuned_channels[:max_length]
else:
pass
# Draw the tuned channels prefixed by index in list (demodulator index)
for idx, gui_tuned_channel in enumerate(gui_tuned_channels):
text = str(idx) + ": " + gui_tuned_channel
if idx < self.dims[0]-2:
# Display in first column
self.win.addnstr(idx+1, 1, text, 11)
else:
# Display in second column
self.win.addnstr(idx-self.dims[0]+3, 13, text, 11)
# Hide cursor
self.win.leaveok(1)
# Update virtual window
self.win.noutrefresh()
class LockoutWindow(object):
"""Curses lockout channel display window
Args:
screen (object): a curses screen object
"""
# pylint: disable=too-few-public-methods
def __init__(self, screen):
self.screen = screen
# Create a window object in the bottom half of the screen
# Make it about 1/4 the screen width
# Place on left side and to the right of the border
screen_dims = screen.getmaxyx()
height = int(screen_dims[0]/2.0)-2
width = int(screen_dims[1]/4.0)-5
self.win = curses.newwin(height, width, height + 3, 26)
self.dims = self.win.getmaxyx()
def draw_channels(self, gui_lockout_channels):
"""Draws tuned channels list
Args:
rf_channels [string]: List of strings in MHz
"""
# Clear previous contents, draw border, and title
self.win.clear()
self.win.border(0)
self.win.addnstr(0, self.dims[1]/2-3, "LOCKOUT", 7,
curses.color_pair(4))
# Draw the lockout channels
for idx, gui_lockout_channel in enumerate(gui_lockout_channels):
# Don't draw past height of window
if idx <= self.dims[0]-3:
text = " " + gui_lockout_channel
self.win.addnstr(idx+1, 1, text, 11)
else:
pass
# Hide cursor
self.win.leaveok(1)
# Update virtual window
self.win.noutrefresh()
def proc_keyb_set_lockout(self, keyb):
"""Process keystrokes to lock out channels 0 - 9
Args:
keyb (int): keystroke in ASCII
Returns:
bool: True if scanner needs adjusting, False if not
"""
# pylint: disable=no-self-use
# Check if keys 0 - 9 pressed
if keyb - 48 in range(10):
return True
else:
return False
def proc_keyb_clear_lockout(self, keyb):
"""Process keystrokes to clear lockout with "l"
Args:
keyb (int): keystroke in ASCII
Returns:
bool: True if scanner needs adjusting, False if not
"""
# pylint: disable=no-self-use
# Check if 'l' is pressed
if keyb == ord('l'):
return True
else:
return False
class RxWindow(object):
"""Curses receiver paramater window
Args:
screen (object): a curses screen object
Attributes:
center_freq (float): Hardware RF center frequency in Hz
samp_rate (float): Hardware sample rate in sps (1E6 min)
gain_db (int): Hardware RF gain in dB
if_gain_db (int): Hardware IF gain in dB
bb_gain_db (int): Hardware BB gain in dB
squelch_db (int): Squelch in dB
volume_dB (int): Volume in dB
record (bool): Record audio to file if True
lockout_file_name (string): Name of file with channels to lockout
priority_file_name (string): Name of file with channels for priority
"""
# pylint: disable=too-many-instance-attributes
def __init__(self, screen):
self.screen = screen
# Set default values
self.center_freq = 146E6
self.samp_rate = 2E6
self.freq_entry = 'None'
self.gain_db = 0
self.if_gain_db = 16
self.bb_gain_db = 16
self.squelch_db = -60
self.volume_db = 0
self.type_demod = 0
self.record = True
self.lockout_file_name = ""
self.priority_file_name = ""
# Create a window object in the bottom half of the screen
# Make it about 1/3 the screen width
# Place on right side and to the left of the border
screen_dims = screen.getmaxyx()
height = int(screen_dims[0]/2.0)-2
width = int(screen_dims[1]/2.0)-2
self.win = curses.newwin(height, width, height + 3,
int(screen_dims[1]-width-1))
self.dims = self.win.getmaxyx()
def draw_rx(self):
"""Draws receiver paramaters
"""
# Clear previous contents, draw border, and title
self.win.clear()
self.win.border(0)
self.win.addnstr(0, self.dims[1]/2-4, "RECEIVER", 8,
curses.color_pair(4))
# Draw the receiver info prefix fields
text = "RF Freq (MHz) : "
self.win.addnstr(1, 1, text, 15)
text = "RF Gain (dB) : "
self.win.addnstr(2, 1, text, 15)
text = "IF Gain (dB) : "
self.win.addnstr(3, 1, text, 15)
text = "BB Gain (dB) : "
self.win.addnstr(4, 1, text, 15)
text = "BB Rate (Msps): "
self.win.addnstr(5, 1, text, 15)
text = "BB Sql (dB) : "
self.win.addnstr(6, 1, text, 15)
text = "AF Vol (dB) : "
self.win.addnstr(7, 1, text, 15)
text = "Record : "
self.win.addnstr(8, 1, text, 15)
text = "Demod Type : "
self.win.addnstr(9, 1, text, 15)
text = "Files : "
self.win.addnstr(10, 1, text, 15)
# Draw the receiver info suffix fields
if self.freq_entry <> 'None':
text = self.freq_entry
else:
text = '{:.3f}'.format((self.center_freq)/1E6)
self.win.addnstr(1, 17, text, 8, curses.color_pair(5))
text = str(self.gain_db)
self.win.addnstr(2, 17, text, 8, curses.color_pair(5))
text = str(self.if_gain_db)
self.win.addnstr(3, 17, text, 8, curses.color_pair(5))
text = str(self.bb_gain_db)
self.win.addnstr(4, 17, text, 8, curses.color_pair(5))
text = str(self.samp_rate/1E6)
self.win.addnstr(5, 17, text, 8)
text = str(self.squelch_db)
self.win.addnstr(6, 17, text, 8, curses.color_pair(5))
text = str(self.volume_db)
self.win.addnstr(7, 17, text, 8, curses.color_pair(5))
text = str(self.record)
self.win.addnstr(8, 17, text, 8)
text = str(self.type_demod)
self.win.addnstr(9, 17, text, 8)
text = str(self.lockout_file_name) + " " + str(self.priority_file_name)
self.win.addnstr(10, 17, text, 20)
# Hide cursor
self.win.leaveok(1)
# Update virtual window
self.win.noutrefresh()
def proc_keyb_hard(self, keyb):
"""Process keystrokes to adjust hard receiver settings
Tune center_freq in 100 MHz steps with 'x' and 'c'
Tune center_freq in 10 MHz steps with 'v' and 'c'
Tune center_freq in 1 MHz steps with 'm' and 'n'
Tune center_freq in 100 kHz steps with 'k' and 'j'
Args:
keyb (int): keystroke in ASCII
Returns:
bool: True if receiver needs adjusting, False if not
"""
# pylint: disable=too-many-return-statements
# pylint: disable=too-many-branches
# Tune self.center_freq in 100 MHz steps with 'x' and 'c'
if keyb == ord('x'):
self.center_freq += 1E8
return True
elif keyb == ord('z'):
self.center_freq -= 1E8
return True
# Tune self.center_freq in 10 MHz steps with 'v' and 'c'
elif keyb == ord('v'):
self.center_freq += 1E7
return True
elif keyb == ord('c'):
self.center_freq -= 1E7
return True
# Tune self.center_freq in 1 MHz steps with 'm' and 'n'
elif keyb == ord('m'):
self.center_freq += 1E6
return True
elif keyb == ord('n'):
self.center_freq -= 1E6
return True
# Tune self.center_freq in 100 kHz steps with 'k' and 'j'
elif keyb == ord('k'):
self.center_freq += 1E5
return True
elif keyb == ord('j'):
self.center_freq -= 1E5
return True
elif keyb == ord('/'):
# set mode to frequency entry
self.freq_entry = ''
return False
elif keyb == 27: # ESC
# end frequncy entry mode without seting the frequency
self.freq_entry = 'None'
return False
elif keyb == ord('\n'):
# set the frequency from what was entered
try:
self.center_freq = float(self.freq_entry) * 1E6
except:
pass
self.freq_entry = 'None'
return True
elif self.freq_entry <> 'None' and (keyb - 48 in range (10) or keyb == ord('.')):
# build up frequency from 1-9 and '.'
self.freq_entry = self.freq_entry + chr(keyb)
return False
elif keyb == 127: # BKSP
self.freq_entry = self.freq_entry[:-1]
return False
else:
return False
def proc_keyb_soft(self, keyb):
"""Process keystrokes to adjust soft receiver settings
Tune gain_db in 10 dB steps with 'g' and 'f'
Tune squelch_db in 1 dB steps with 's' and 'a'
Tune volume_db in 1 dB steps with '.' and ','
Args:
keyb (int): keystroke in ASCII
Returns:
bool: True if receiver needs tuning, False if not
"""
# pylint: disable=too-many-return-statements
# pylint: disable=too-many-branches
# Tune self.gain_db in 10 dB steps with 'g' and 'f'
if keyb == ord('g'):
self.gain_db += 10
return True
elif keyb == ord('f'):
self.gain_db -= 10
return True
# Tune self.gain_db in 1 dB steps with 'G' and 'F'
if keyb == ord('G'):
self.gain_db += 1
return True
elif keyb == ord('F'):
self.gain_db -= 1
return True
# Tune self.if_gain_db in 10 dB steps with 'u' and 'y'
if keyb == ord('u'):
self.if_gain_db += 10
return True
elif keyb == ord('y'):
self.if_gain_db -= 10
return True
# Tune self.if_gain_db in 1 dB steps with 'U' and 'Y'
if keyb == ord('U'):
self.if_gain_db += 1
return True
elif keyb == ord('Y'):
self.if_gain_db -= 1
return True
# Tune self.bb_gain_db in 10 dB steps with ']' and '['
if keyb == ord(']'):
self.bb_gain_db += 10
return True
elif keyb == ord('['):
self.bb_gain_db -= 10
return True
# Tune self.bb_gain_db in 1 dB steps with '}' and '{'
if keyb == ord('}'):
self.bb_gain_db += 1
return True
elif keyb == ord('{'):
self.bb_gain_db -= 1
return True
# Tune self.squelch_db in 1 dB steps with 's' and 'a'
elif keyb == ord('s'):
self.squelch_db += 1
return True
elif keyb == ord('a'):
self.squelch_db -= 1
return True
# Tune self.volume_db in 1 dB steps with '.' and ','
elif keyb == ord('.'):
self.volume_db += 1
return True
elif keyb == ord(','):
self.volume_db -= 1
return True
else:# pylint: disable=too-many-return-statements
return False
def setup_screen(screen):
"""Sets up screen
"""
# Set screen to getch() is non-blocking
screen.nodelay(1)
# Define some colors
curses.init_pair(1, curses.COLOR_RED, curses.COLOR_BLACK)
curses.init_pair(2, curses.COLOR_GREEN, curses.COLOR_BLACK)
curses.init_pair(3, curses.COLOR_CYAN, curses.COLOR_BLACK)
curses.init_pair(4, curses.COLOR_MAGENTA, curses.COLOR_BLACK)
curses.init_pair(5, curses.COLOR_YELLOW, curses.COLOR_BLACK)
# Add border
screen.border(0)
def main():
"""Test most of the GUI (except lockout processing)
Initialize and set up screen
Create windows
Generate dummy spectrum data
Update windows with dummy values
Process keyboard strokes
"""
# Use the curses.wrapper() to crash cleanly
# Note the screen object is passed from the wrapper()
# http://stackoverflow.com/questions/9854511/ppos_ython-curses-dilemma
# The issue is the debuuger won't work with the wrapper()
# So enable the next 2 lines and don't pass screen to main()
screen = curses.initscr()
curses.start_color()
# Setup the screen
setup_screen(screen)
# Create windows
specwin = SpectrumWindow(screen)
chanwin = ChannelWindow(screen)
lockoutwin = LockoutWindow(screen)
rxwin = RxWindow(screen)
while 1:
# Generate some random spectrum data from -dyanmic_range to 0 dB
# then offset_db
length = 128
dynamic_range_db = 100
offset_db = 50
data = np.power(10, (-dynamic_range_db*np.random.rand(length)/10)\
+ offset_db/10)
#data = 1E-5*np.ones(length)
specwin.draw_spectrum(data)
# Put some dummy values in the channel, lockout, and receiver windows
chanwin.draw_channels(['144.100', '142.40', '145.00', '144.10',\
'142.40', '145.00', '144.10', '142.40', '145.00', '144.10', '142.40',\
'145.00', '142.40', '145.00', '144.10', '142.400', '145.00', '145.00'])
lockoutwin.draw_channels(['144.100', '142.40', '145.00'])
rxwin.draw_rx()
# Update physical screen
curses.doupdate()
# Check for keystrokes and process
keyb = screen.getch()
specwin.proc_keyb(keyb)
rxwin.proc_keyb_hard(keyb)
rxwin.proc_keyb_soft(keyb)
# Sleep to get about a 10 Hz refresh
time.sleep(0.1)
if __name__ == '__main__':
try:
#curses.wrapper(main)
main()
except KeyboardInterrupt:
pass
|
gpl-3.0
|
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] |
idem2lyon/persomov
|
couchpotato/core/media/movie/providers/trailer/youtube_dl/extractor/ted.py
|
17
|
8529
|
from __future__ import unicode_literals
import json
import re
from .subtitles import SubtitlesInfoExtractor
from ..compat import (
compat_str,
)
class TEDIE(SubtitlesInfoExtractor):
_VALID_URL = r'''(?x)
(?P<proto>https?://)
(?P<type>www|embed)(?P<urlmain>\.ted\.com/
(
(?P<type_playlist>playlists(?:/\d+)?) # We have a playlist
|
((?P<type_talk>talks)) # We have a simple talk
|
(?P<type_watch>watch)/[^/]+/[^/]+
)
(/lang/(.*?))? # The url may contain the language
/(?P<name>[\w-]+) # Here goes the name and then ".html"
.*)$
'''
_TESTS = [{
'url': 'http://www.ted.com/talks/dan_dennett_on_our_consciousness.html',
'md5': 'fc94ac279feebbce69f21c0c6ee82810',
'info_dict': {
'id': '102',
'ext': 'mp4',
'title': 'The illusion of consciousness',
'description': ('Philosopher Dan Dennett makes a compelling '
'argument that not only don\'t we understand our own '
'consciousness, but that half the time our brains are '
'actively fooling us.'),
'uploader': 'Dan Dennett',
'width': 854,
'duration': 1308,
}
}, {
'url': 'http://www.ted.com/watch/ted-institute/ted-bcg/vishal-sikka-the-beauty-and-power-of-algorithms',
'md5': '226f4fb9c62380d11b7995efa4c87994',
'info_dict': {
'id': 'vishal-sikka-the-beauty-and-power-of-algorithms',
'ext': 'mp4',
'title': 'Vishal Sikka: The beauty and power of algorithms',
'thumbnail': 're:^https?://.+\.jpg',
'description': 'Adaptive, intelligent, and consistent, algorithms are emerging as the ultimate app for everything from matching consumers to products to assessing medical diagnoses. Vishal Sikka shares his appreciation for the algorithm, charting both its inherent beauty and its growing power.',
}
}, {
'url': 'http://www.ted.com/talks/gabby_giffords_and_mark_kelly_be_passionate_be_courageous_be_your_best',
'info_dict': {
'id': '1972',
'ext': 'mp4',
'title': 'Be passionate. Be courageous. Be your best.',
'uploader': 'Gabby Giffords and Mark Kelly',
'description': 'md5:5174aed4d0f16021b704120360f72b92',
'duration': 1128,
},
}, {
'url': 'http://www.ted.com/playlists/who_are_the_hackers',
'info_dict': {
'id': '10',
'title': 'Who are the hackers?',
},
'playlist_mincount': 6,
}, {
# contains a youtube video
'url': 'https://www.ted.com/talks/douglas_adams_parrots_the_universe_and_everything',
'add_ie': ['Youtube'],
'info_dict': {
'id': '_ZG8HBuDjgc',
'ext': 'mp4',
'title': 'Douglas Adams: Parrots the Universe and Everything',
'description': 'md5:01ad1e199c49ac640cb1196c0e9016af',
'uploader': 'University of California Television (UCTV)',
'uploader_id': 'UCtelevision',
'upload_date': '20080522',
},
'params': {
'skip_download': True,
},
}]
_NATIVE_FORMATS = {
'low': {'preference': 1, 'width': 320, 'height': 180},
'medium': {'preference': 2, 'width': 512, 'height': 288},
'high': {'preference': 3, 'width': 854, 'height': 480},
}
def _extract_info(self, webpage):
info_json = self._search_regex(r'q\("\w+.init",({.+})\)</script>',
webpage, 'info json')
return json.loads(info_json)
def _real_extract(self, url):
m = re.match(self._VALID_URL, url, re.VERBOSE)
if m.group('type') == 'embed':
desktop_url = m.group('proto') + 'www' + m.group('urlmain')
return self.url_result(desktop_url, 'TED')
name = m.group('name')
if m.group('type_talk'):
return self._talk_info(url, name)
elif m.group('type_watch'):
return self._watch_info(url, name)
else:
return self._playlist_videos_info(url, name)
def _playlist_videos_info(self, url, name):
'''Returns the videos of the playlist'''
webpage = self._download_webpage(url, name,
'Downloading playlist webpage')
info = self._extract_info(webpage)
playlist_info = info['playlist']
playlist_entries = [
self.url_result('http://www.ted.com/talks/' + talk['slug'], self.ie_key())
for talk in info['talks']
]
return self.playlist_result(
playlist_entries,
playlist_id=compat_str(playlist_info['id']),
playlist_title=playlist_info['title'])
def _talk_info(self, url, video_name):
webpage = self._download_webpage(url, video_name)
self.report_extraction(video_name)
talk_info = self._extract_info(webpage)['talks'][0]
if talk_info.get('external') is not None:
self.to_screen('Found video from %s' % talk_info['external']['service'])
return {
'_type': 'url',
'url': talk_info['external']['uri'],
}
formats = [{
'url': format_url,
'format_id': format_id,
'format': format_id,
} for (format_id, format_url) in talk_info['nativeDownloads'].items() if format_url is not None]
if formats:
for f in formats:
finfo = self._NATIVE_FORMATS.get(f['format_id'])
if finfo:
f.update(finfo)
else:
# Use rtmp downloads
formats = [{
'format_id': f['name'],
'url': talk_info['streamer'],
'play_path': f['file'],
'ext': 'flv',
'width': f['width'],
'height': f['height'],
'tbr': f['bitrate'],
} for f in talk_info['resources']['rtmp']]
self._sort_formats(formats)
video_id = compat_str(talk_info['id'])
# subtitles
video_subtitles = self.extract_subtitles(video_id, talk_info)
if self._downloader.params.get('listsubtitles', False):
self._list_available_subtitles(video_id, talk_info)
return
thumbnail = talk_info['thumb']
if not thumbnail.startswith('http'):
thumbnail = 'http://' + thumbnail
return {
'id': video_id,
'title': talk_info['title'].strip(),
'uploader': talk_info['speaker'],
'thumbnail': thumbnail,
'description': self._og_search_description(webpage),
'subtitles': video_subtitles,
'formats': formats,
'duration': talk_info.get('duration'),
}
def _get_available_subtitles(self, video_id, talk_info):
languages = [lang['languageCode'] for lang in talk_info.get('languages', [])]
if languages:
sub_lang_list = {}
for l in languages:
url = 'http://www.ted.com/talks/subtitles/id/%s/lang/%s/format/srt' % (video_id, l)
sub_lang_list[l] = url
return sub_lang_list
else:
self._downloader.report_warning('video doesn\'t have subtitles')
return {}
def _watch_info(self, url, name):
webpage = self._download_webpage(url, name)
config_json = self._html_search_regex(
r'"pages\.jwplayer"\s*,\s*({.+?})\s*\)\s*</script>',
webpage, 'config')
config = json.loads(config_json)['config']
video_url = config['video']['url']
thumbnail = config.get('image', {}).get('url')
title = self._html_search_regex(
r"(?s)<h1(?:\s+class='[^']+')?>(.+?)</h1>", webpage, 'title')
description = self._html_search_regex(
[
r'(?s)<h4 class="[^"]+" id="h3--about-this-talk">.*?</h4>(.*?)</div>',
r'(?s)<p><strong>About this talk:</strong>\s+(.*?)</p>',
],
webpage, 'description', fatal=False)
return {
'id': name,
'url': video_url,
'title': title,
'thumbnail': thumbnail,
'description': description,
}
|
gpl-3.0
|
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mjjohnson/django-u2f
|
testproj/testproj/tests.py
|
1
|
8549
|
import json
from django.test import TestCase, Client
from django.core.urlresolvers import reverse
from django.contrib.auth import get_user_model, SESSION_KEY
User = get_user_model()
class U2FTest(TestCase):
def setUp(self):
self.client = Client()
self.user = User.objects.create_superuser(
username='test',
email='test@example.com',
password='asdfasdf',
)
self.login_url = reverse('django_u2f.views.login')
def enable_u2f(self):
self.user.u2f_keys.create(
public_key='BCux01toHSq_5YHfsw3EAqfGGKirLoHnDqAuW5RedtP8dGbJTJ55-QEJ_alPDM06kHw7UOUOCawdHinHVrNbnKw',
key_handle='OJiPPVZ6oU-PszwbAAJhbanYvhawFrQi6n3AkcT1k7SeZDo3Ch6BU8i21kp2tcsyQ2BE7nc34RdljU4iS997vA',
app_id='http://localhost.com:8000',
)
def set_challenge(self):
session = self.client.session
session['u2f_authentication_challenges'] = [
{
"challenge": "jUvsJfqf2FMXkUTTFQ57gqNhVn0K2eJ7ElxnF3EK_M8",
"version": "U2F_V2",
"keyHandle": "OJiPPVZ6oU-PszwbAAJhbanYvhawFrQi6n3AkcT1k7SeZDo3Ch6BU8i21kp2tcsyQ2BE7nc34RdljU4iS997vA",
"appId": "http://localhost.com:8000",
}
]
session.save()
return {
"keyHandle": "OJiPPVZ6oU-PszwbAAJhbanYvhawFrQi6n3AkcT1k7SeZDo3Ch6BU8i21kp2tcsyQ2BE7nc34RdljU4iS997vA",
"clientData": "eyJ0eXAiOiJuYXZpZ2F0b3IuaWQuZ2V0QXNzZXJ0aW9uIiwiY2hhbGxlbmdlIjoialV2c0pmcWYyRk1Ya1VUVEZRNTdncU5oVm4wSzJlSjdFbHhuRjNFS19NOCIsIm9yaWdpbiI6Imh0dHA6Ly9sb2NhbGhvc3QuY29tOjgwMDAiLCJjaWRfcHVia2V5IjoiIn0",
"signatureData": "AQAAADcwRQIhALnYwD3DMN3CAhKzhH7hwoJfSSiNMrOHhZq2nQA0WunTAiB2hKEpPn4u0znti-mjC4Xq6Ekv1tfopsapTsJ8EOxmYg",
}
def set_add_key(self):
session = self.client.session
session['u2f_registration_challenge'] = {
'challenge': "1C57ZaTxUkXyMJqcfdNc_7Lp34aPgYDNt_nL2wwsLPQ",
'version': "U2F_V2",
'appId': "http://localhost.com:8000",
}
session.save()
return {
"registrationData": "BQR-zQiLHRPYDlXEDG_yZ_Y53mLP20BXMUpm-zqH1ntWHr3S1EZtJbFKNkWRwo2BQA-SBRZH4SvA2mZyCK2wP4AZQMF2iVGLM8guW_L2o7tfu9THxhMtOFRC6WICT_Kn2Vn3kxkMLjt4fBYO0ZeatzA5qaBk_O6PIypq0R9oYmHiQYEwggIcMIIBBqADAgECAgQk26tAMAsGCSqGSIb3DQEBCzAuMSwwKgYDVQQDEyNZdWJpY28gVTJGIFJvb3QgQ0EgU2VyaWFsIDQ1NzIwMDYzMTAgFw0xNDA4MDEwMDAwMDBaGA8yMDUwMDkwNDAwMDAwMFowKzEpMCcGA1UEAwwgWXViaWNvIFUyRiBFRSBTZXJpYWwgMTM1MDMyNzc4ODgwWTATBgcqhkjOPQIBBggqhkjOPQMBBwNCAAQCsJS-NH1HeUHEd46-xcpN7SpHn6oeb-w5r-veDCBwy1vUvWnJanjjv4dR_rV5G436ysKUAXUcsVe5fAnkORo2oxIwEDAOBgorBgEEAYLECgEBBAAwCwYJKoZIhvcNAQELA4IBAQCjY64OmDrzC7rxLIst81pZvxy7ShsPy2jEhFWEkPaHNFhluNsCacNG5VOITCxWB68OonuQrIzx70MfcqwYnbIcgkkUvxeIpVEaM9B7TI40ZHzp9h4VFqmps26QCkAgYfaapG4SxTK5k_lCPvqqTPmjtlS03d7ykkpUj9WZlVEN1Pf02aTVIZOHPHHJuH6GhT6eLadejwxtKDBTdNTv3V4UlvjDOQYQe9aL1jUNqtLDeBHso8pDvJMLc0CX3vadaI2UVQxM-xip4kuGouXYj0mYmaCbzluBDFNsrzkNyL3elg3zMMrKvAUhoYMjlX_-vKWcqQsgsQ0JtSMcWMJ-umeDMEUCIDmr7y3CyKDwDThdf8MUyp3R_meuSz6pYPavyjt5vDlHAiEApjqut4HuWZzTz9WmjDTAa8_Dn8DmrXfMCbFFsYXU_nU",
"challenge": "1C57ZaTxUkXyMJqcfdNc_7Lp34aPgYDNt_nL2wwsLPQ",
"version": "U2F_V2",
"appId": "http://localhost.com:8000",
"clientData": "eyJ0eXAiOiJuYXZpZ2F0b3IuaWQuZmluaXNoRW5yb2xsbWVudCIsImNoYWxsZW5nZSI6IjFDNTdaYVR4VWtYeU1KcWNmZE5jXzdMcDM0YVBnWUROdF9uTDJ3d3NMUFEiLCJvcmlnaW4iOiJodHRwOi8vbG9jYWxob3N0LmNvbTo4MDAwIiwiY2lkX3B1YmtleSI6IiJ9",
}
class TestU2F(U2FTest):
def login(self):
return self.client.post(self.login_url, {
'username': 'test',
'password': 'asdfasdf',
'next': '/next/'
})
def test_normal_login(self):
r = self.login()
self.assertTrue(r['location'].endswith('/next/'))
self.assertEqual(self.client.session[SESSION_KEY], self.user.id)
def test_u2f_login(self):
self.enable_u2f()
r = self.login()
self.assertNotIn(SESSION_KEY, self.client.session)
self.assertIn(reverse('django_u2f.views.verify_key'), r['location'])
device_response = self.set_challenge()
r = self.client.post(r['location'], {
'response': json.dumps(device_response),
})
self.assertEqual(self.client.session[SESSION_KEY], self.user.id)
def test_failed_u2f_login(self):
self.enable_u2f()
r = self.login()
device_response = self.set_challenge()
device_response['signatureData'] = 'a' + device_response['signatureData'][1:]
r = self.client.post(r['location'], {
'response': json.dumps(device_response),
})
self.assertNotIn(SESSION_KEY, self.client.session)
self.assertIn('Challenge signature verification failed!', r.content)
def test_verify_when_not_logged_in(self):
r = self.client.get(reverse('django_u2f.views.verify_key'))
self.assertTrue(r['location'].endswith(self.login_url))
def test_add_key(self):
self.login()
url = reverse('django_u2f.views.add_key')
r = self.client.get(url)
self.assertIn('"challenge"', r.content)
device_response = self.set_add_key()
r = self.client.post(url, {
'response': json.dumps(device_response),
})
added_key_obj = self.user.u2f_keys.get()
self.assertEqual(added_key_obj.public_key, 'BH7NCIsdE9gOVcQMb_Jn9jneYs_bQFcxSmb7OofWe1YevdLURm0lsUo2RZHCjYFAD5IFFkfhK8DaZnIIrbA_gBk')
self.assertEqual(added_key_obj.key_handle, 'wXaJUYszyC5b8vaju1-71MfGEy04VELpYgJP8qfZWfeTGQwuO3h8Fg7Rl5q3MDmpoGT87o8jKmrRH2hiYeJBgQ')
self.assertEqual(added_key_obj.app_id, 'http://localhost.com:8000')
def test_key_delete(self):
other_user = User.objects.create_superuser(
username='abc',
email='abc@example.com',
password='asdfasdf',
)
other_user.u2f_keys.create()
self.enable_u2f()
self.client.login(username='test', password='asdfasdf')
r = self.client.post(reverse('django_u2f.views.keys'), {
'key_id': self.user.u2f_keys.get().pk,
'delete': '1',
})
self.assertFalse(self.user.u2f_keys.exists())
# cant delete someone else's keys
r = self.client.post(reverse('django_u2f.views.keys'), {
'key_id': other_user.u2f_keys.get().pk,
'delete': '1',
})
self.assertTrue(other_user.u2f_keys.exists())
self.assertEqual(r.status_code, 404)
class TestAdminLogin(U2FTest):
def setUp(self):
super(TestAdminLogin, self).setUp()
self.admin_url = reverse('admin:index')
# discover admin login url, different on django 1.6 and django 1.7
r = self.client.get(self.admin_url)
if r.status_code == 302:
# django 1.7
self.login_url = r['location']
else:
# django 1.6
self.login_url = self.admin_url
def test_admin_template_rendered(self):
r = self.client.get(self.login_url)
self.assertEqual(r.templates[0].name, 'admin/login.html')
def test_login_with_u2f(self):
self.enable_u2f()
r = self.client.post(self.login_url, {
'username': 'test',
'password': 'asdfasdf',
})
self.assertNotIn(SESSION_KEY, self.client.session)
self.assertIn(reverse('django_u2f.views.verify_key'), r['location'])
verify_key_response = self.client.get(r['location'])
self.assertIn('Django administration', verify_key_response.content)
device_response = self.set_challenge()
r = self.client.post(r['location'], {
'response': json.dumps(device_response),
})
self.assertEqual(self.client.session[SESSION_KEY], self.user.id)
self.assertTrue(r['location'].endswith(self.admin_url))
def test_login_without_u2f(self):
r = self.client.get(self.admin_url)
if r.status_code == 200:
# django 1.6
self.assertEqual(r.context['next'], self.admin_url)
# else:
# django 1.7
r = self.client.post(self.login_url, {
'username': 'test',
'password': 'asdfasdf',
'this_is_the_login_form': 1,
'next': self.admin_url,
})
self.assertTrue(r['location'].endswith(self.admin_url))
self.assertEqual(self.client.session[SESSION_KEY], self.user.id)
|
bsd-2-clause
|
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grimoirelab/GrimoireELK
|
grimoire_elk/enriched/meetup.py
|
1
|
13379
|
# -*- coding: utf-8 -*-
#
# Copyright (C) 2015-2019 Bitergia
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
# Authors:
# Alvaro del Castillo San Felix <acs@bitergia.com>
#
import copy
import logging
from grimoirelab_toolkit.datetime import unixtime_to_datetime
from .enrich import Enrich, metadata
from ..elastic_mapping import Mapping as BaseMapping
MAX_SIZE_BULK_ENRICHED_ITEMS = 200
logger = logging.getLogger(__name__)
class Mapping(BaseMapping):
@staticmethod
def get_elastic_mappings(es_major):
"""Get Elasticsearch mapping.
:param es_major: major version of Elasticsearch, as string
:returns: dictionary with a key, 'items', with the mapping
"""
mapping = """
{
"properties": {
"description_analyzed": {
"type": "text",
"index": true
},
"comment": {
"type": "text",
"index": true
},
"venue_geolocation": {
"type": "geo_point"
},
"group_geolocation": {
"type": "geo_point"
}
}
} """
return {"items": mapping}
class MeetupEnrich(Enrich):
mapping = Mapping
def get_field_author(self):
return "author"
def get_identities(self, item):
''' Return the identities from an item '''
item = item['data']
# Creators
if 'event_hosts' in item:
user = self.get_sh_identity(item['event_hosts'][0])
yield user
# rsvps
rsvps = item.get('rsvps', [])
for rsvp in rsvps:
user = self.get_sh_identity(rsvp['member'])
yield user
# Comments
for comment in item['comments']:
user = self.get_sh_identity(comment['member'])
yield user
def get_sh_identity(self, item, identity_field=None):
identity = {'username': None, 'email': None, 'name': None}
if not item:
return identity
user = item
if 'data' in item and type(item) == dict:
user = item['data'][identity_field]
identity['username'] = str(user["id"])
identity['email'] = None
identity['name'] = user["name"]
return identity
def get_project_repository(self, eitem):
return eitem['tag']
@metadata
def get_rich_item(self, item):
# We need to detect the category of item: activities (report), events or users
eitem = {}
if 'time' not in item['data']:
logger.warning("[meetup] Not processing %s: no time field", item['uuid'])
return eitem
for f in self.RAW_FIELDS_COPY:
if f in item:
eitem[f] = item[f]
else:
eitem[f] = None
event = item['data']
# data fields to copy
copy_fields = ["id", "how_to_find_us"]
for f in copy_fields:
if f in event:
eitem[f] = event[f]
else:
eitem[f] = None
# Fields which names are translated
map_fields = {
"link": "url",
"rsvp_limit": "rsvps_limit"
}
for fn in map_fields:
if fn in event:
eitem[map_fields[fn]] = event[fn]
else:
eitem[f] = None
# event host fields: author of the event
if 'event_hosts' in event:
host = event['event_hosts'][0]
if 'photo' in host:
eitem['member_photo_url'] = host['photo']['photo_link']
eitem['member_photo_id'] = host['photo']['id']
eitem['member_photo_type'] = host['photo']['type']
eitem['member_is_host'] = True
eitem['member_id'] = host['id']
eitem['member_name'] = host['name']
eitem['member_url'] = "https://www.meetup.com/members/" + str(host['id'])
eitem['event_url'] = event['link']
# data fields to copy with meetup`prefix
copy_fields = ["description", "plain_text_description",
"name", "status", "utc_offset", "visibility",
"waitlist_count", "yes_rsvp_count", "duration",
"featured", "rsvpable"]
copy_fields_time = ["time", "updated", "created"]
for f in copy_fields:
if f in event:
eitem["meetup_" + f] = event[f]
else:
eitem[f] = None
for f in copy_fields_time:
if f in event:
eitem["meetup_" + f] = unixtime_to_datetime(event[f] / 1000).isoformat()
else:
eitem[f] = None
rsvps = event.get('rsvps', [])
eitem['num_rsvps'] = len(rsvps)
eitem['num_comments'] = len(event['comments'])
try:
if 'time' in event:
eitem['time_date'] = unixtime_to_datetime(event['time'] / 1000).isoformat()
else:
logger.warning("time field nof found in event")
return {}
except ValueError:
logger.warning("Wrong datetime for %s: %s", eitem['url'], event['time'])
# If no datetime for the enriched item, it is useless for Kibana
return {}
if 'venue' in event:
venue = event['venue']
copy_fields = ["id", "name", "city", "state", "zip", "country",
"localized_country_name", "repinned", "address_1"]
for f in copy_fields:
if f in venue:
eitem["venue_" + f] = venue[f]
else:
eitem[f] = None
eitem['venue_geolocation'] = {
"lat": event['venue']['lat'],
"lon": event['venue']['lon'],
}
if 'series' in event:
eitem['series_id'] = event['series']['id']
eitem['series_description'] = event['series']['description']
eitem['series_start_date'] = event['series']['start_date']
if 'group' in event:
group = event['group']
copy_fields = ["id", "created", "join_mode", "name", "url_name",
"who"]
for f in copy_fields:
if f in group:
eitem["group_" + f] = group[f]
else:
eitem[f] = None
eitem['group_geolocation'] = {
"lat": group['lat'],
"lon": group['lon'],
}
eitem['group_topics'] = []
eitem['group_topics_keys'] = []
if 'topics' in group:
group_topics = [topic['name'] for topic in group['topics']]
group_topics_keys = [topic['urlkey'] for topic in group['topics']]
eitem['group_topics'] = group_topics
eitem['group_topics_keys'] = group_topics_keys
if len(rsvps) > 0:
eitem['group_members'] = rsvps[0]['group']['members']
created = unixtime_to_datetime(event['created'] / 1000).isoformat()
eitem['type'] = "meetup"
# time_date is when the meetup will take place, the needed one in this index
# created is when the meetup entry was created and it is not the interesting date
eitem.update(self.get_grimoire_fields(eitem['time_date'], eitem['type']))
if self.sortinghat:
eitem.update(self.get_item_sh(event))
if self.prjs_map:
eitem.update(self.get_item_project(eitem))
self.add_repository_labels(eitem)
self.add_metadata_filter_raw(eitem)
return eitem
def get_item_sh(self, item):
""" Add sorting hat enrichment fields """
sh_fields = {}
# Not shared common get_item_sh because it is pretty specific
if 'member' in item:
# comment and rsvp
identity = self.get_sh_identity(item['member'])
elif 'event_hosts' in item:
# meetup event
identity = self.get_sh_identity(item['event_hosts'][0])
else:
return sh_fields
created = unixtime_to_datetime(item['created'] / 1000)
sh_fields = self.get_item_sh_fields(identity, created)
return sh_fields
def get_rich_item_comments(self, comments, eitem):
for comment in comments:
ecomment = copy.deepcopy(eitem)
created = unixtime_to_datetime(comment['created'] / 1000).isoformat()
ecomment['url'] = comment['link']
ecomment['id'] = ecomment['id'] + '_comment_' + str(comment['id'])
ecomment['comment'] = comment['comment']
ecomment['like_count'] = comment['like_count']
ecomment['type'] = 'comment'
ecomment.update(self.get_grimoire_fields(created, ecomment['type']))
ecomment.pop('is_meetup_meetup')
# event host fields: author of the event
member = comment['member']
if 'photo' in member:
ecomment['member_photo_url'] = member['photo']['photo_link']
ecomment['member_photo_id'] = member['photo']['id']
ecomment['member_photo_type'] = member['photo']['type']
if 'event_context' in member:
ecomment['member_is_host'] = member['event_context']['host']
ecomment['member_id'] = member['id']
ecomment['member_name'] = member['name']
ecomment['member_url'] = "https://www.meetup.com/members/" + str(member['id'])
if self.sortinghat:
ecomment.update(self.get_item_sh(comment))
yield ecomment
def get_rich_item_rsvps(self, rsvps, eitem):
for rsvp in rsvps:
ersvp = copy.deepcopy(eitem)
ersvp['type'] = 'rsvp'
created = unixtime_to_datetime(rsvp['created'] / 1000).isoformat()
ersvp.update(self.get_grimoire_fields(created, ersvp['type']))
ersvp.pop('is_meetup_meetup')
# event host fields: author of the event
member = rsvp['member']
if 'photo' in member:
ersvp['member_photo_url'] = member['photo']['photo_link']
ersvp['member_photo_id'] = member['photo']['id']
ersvp['member_photo_type'] = member['photo']['type']
ersvp['member_is_host'] = member['event_context']['host']
ersvp['member_id'] = member['id']
ersvp['member_name'] = member['name']
ersvp['member_url'] = "https://www.meetup.com/members/" + str(member['id'])
ersvp['id'] = ersvp['id'] + '_rsvp_' + str(rsvp['event']['id']) + "_" + str(member['id'])
ersvp['url'] = "https://www.meetup.com/members/" + str(member['id'])
ersvp['rsvps_guests'] = rsvp['guests']
ersvp['rsvps_updated'] = rsvp['updated']
ersvp['rsvps_response'] = rsvp['response']
if self.sortinghat:
ersvp.update(self.get_item_sh(rsvp))
yield ersvp
def get_field_unique_id(self):
return "id"
def enrich_items(self, ocean_backend):
items_to_enrich = []
num_items = 0
ins_items = 0
for item in ocean_backend.fetch():
eitem = self.get_rich_item(item)
if 'uuid' not in eitem:
continue
items_to_enrich.append(eitem)
if 'comments' in item['data'] and 'id' in eitem:
comments = item['data']['comments']
rich_item_comments = self.get_rich_item_comments(comments, eitem)
items_to_enrich.extend(rich_item_comments)
if 'rsvps' in item['data'] and 'id' in eitem:
rsvps = item['data']['rsvps']
rich_item_rsvps = self.get_rich_item_rsvps(rsvps, eitem)
items_to_enrich.extend(rich_item_rsvps)
if len(items_to_enrich) < MAX_SIZE_BULK_ENRICHED_ITEMS:
continue
num_items += len(items_to_enrich)
ins_items += self.elastic.bulk_upload(items_to_enrich, self.get_field_unique_id())
items_to_enrich = []
if len(items_to_enrich) > 0:
num_items += len(items_to_enrich)
ins_items += self.elastic.bulk_upload(items_to_enrich, self.get_field_unique_id())
if num_items != ins_items:
missing = num_items - ins_items
logger.error("%s/%s missing items for Meetup", str(missing), str(num_items))
else:
logger.info("%s items inserted for Meetup", str(num_items))
return num_items
|
gpl-3.0
|
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ver228/tierpsy-tracker
|
tierpsy/analysis/ske_create/zebrafishAnalysis/zebrafishAnalysis.py
|
1
|
17590
|
# Zebrafish Analysis
import math
import numpy as np
import cv2
from scipy.signal import savgol_filter
class ModelConfig:
def __init__(self, num_segments, min_angle, max_angle, num_angles, tail_length, tail_detection, prune_retention, test_width, draw_width, auto_detect_tail_length):
self.min_angle = min_angle # Minimum angle for each segment (relative to previous segment)
self.max_angle = max_angle # Maximum angle for each segment
self.num_models_per_segment = num_angles # Number of angles to try for each segment
self.prune_freq = 1 # When constructing the model, segment interval at which the model pruning function is called. Lower numbers are faster
self.max_num_models_to_keep = prune_retention # Number of models retained after each round of pruning
segment_height = int(tail_length / num_segments)
self.segment_heights = [segment_height] * num_segments # Length must match num_segments
self.segment_widths = [test_width] * num_segments # Used for constructing and testing straight-line models. Length must match num_segment
self.num_segments = num_segments
self.smoothed_segment_width = draw_width # Used for drawing the final smoothed version of the tail curve
self.tail_offset = 30 # Distance in pixels from the head point to the tail model start point
self.rotated_img_size = 200 # Size of the internal image of the rotated fish
self.tail_point_detection_algorithm = tail_detection
# Auto-detect tail length settings
self.auto_detect_tail_length = auto_detect_tail_length
if auto_detect_tail_length:
# Override number of segments with a high number
# Tail end will be detected automatically before this is reached and model generation will be stopped at that point
self.num_segments = 20
self.segment_heights = [5] * self.num_segments
self.segment_widths = [2] * self.num_segments
self.segment_score_improvement_threshold = 250 # Amount by which a segment must improve the model score to be considered valid. If 'num_fail_segments' segments in a row are considered invalid, no further segments are added to that model
self.num_fail_segments = 2 # Number of continuous segments which fail to meet the threshold improvement score for model generation to stop
self.min_segments = 5 # Minimum number of segments in the model - There will be at least this many segments, even if the failing criteria is reached
class MaskCanvas:
def __init__(self, canvas_width, canvas_height):
self.canvas = np.zeros((canvas_width, canvas_height), np.uint8)
self.points = []
self.scores = [0]
self.angle_offset = 0
def add_point(self, point):
self.points.append(point)
def last_point(self):
return self.points[-1] if len(self.points) > 0 else None
def last_score(self):
return self.scores[-1]
def score_improvement(self, n):
if len(self.scores) < n + 1:
return 0
return self.scores[-1 * n] - self.scores[-1 * (n+1)]
def getOrientation(frame, config):
th_val = 1
ret, binary_img = cv2.threshold(frame, th_val, 255, cv2.THRESH_BINARY)
contours, hierarchy = cv2.findContours(binary_img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)[-2:]
# Sort contours by area
contours.sort(key=lambda ar: cv2.contourArea(ar))
largest_contour = contours[-1]
[vx, vy, x, y] = cv2.fitLine(largest_contour, cv2.DIST_L2, 0, 0.01, 0.01)
line_angle = math.atan2(vy, vx)
line_angle_degrees = math.degrees(line_angle)
angle = line_angle_degrees + 90
x, y, w, h = cv2.boundingRect(largest_contour)
img_cropped = frame[y:y+h, x:x+w]
rotated_img, actual_angle = rotateFishImage(img_cropped, angle, config)
return rotated_img, actual_angle
def rotateFishImage(img, angle_degrees, config):
input_image = np.zeros((config.rotated_img_size, config.rotated_img_size), np.uint8)
y_mid = config.rotated_img_size // 2
def _get_range(l):
bot = math.floor(y_mid - l/2)
top = math.floor(y_mid + l/2)
return bot, top
h_ran, w_ran = list(map(_get_range, img.shape))
input_image[h_ran[0]:h_ran[1], w_ran[0]:w_ran[1]] = img
rows, cols = input_image.shape
center = (rows//2, cols//2)
M = cv2.getRotationMatrix2D(center, angle_degrees, 1.0)
rotated_img = cv2.warpAffine(input_image, M, (cols, rows))
img_top = rotated_img[0:y_mid, 0:config.rotated_img_size]
img_bottom = rotated_img[y_mid:config.rotated_img_size, 0:config.rotated_img_size]
# Use valid pixel count to determine which half contains the head
top_area = len(img_top[img_top != 0])
bottom_area = len(img_bottom[img_bottom != 0])
head_half = img_top if bottom_area < top_area else img_bottom
# Find rotation angle again, this time only using the head half
contours, hierarchy = cv2.findContours(head_half.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)[-2:]
contours.sort(key=lambda ar: ar.size)
largest_contour = contours[-1]
[vx, vy, x, y] = cv2.fitLine(largest_contour, cv2.DIST_L2, 0, 0.01, 0.01)
line_angle = math.atan2(vy, vx)
line_angle_degrees = (math.degrees(line_angle) + 90) % 360
final_angle = (angle_degrees + line_angle_degrees) % 360
rows, cols = input_image.shape[:2]
center = (rows/2, cols/2)
M = cv2.getRotationMatrix2D(center, final_angle, 1.0)
rotated_output_img = cv2.warpAffine(input_image, M, (cols, rows))
# Check again whether the image is rotated 180 degrees, and correct if necessary
img_top = rotated_output_img[0:y_mid, 0:config.rotated_img_size]
img_bottom = rotated_output_img[y_mid:config.rotated_img_size, 0:config.rotated_img_size]
top_area = len(img_top[img_top != 0])
bottom_area = len(img_bottom[img_bottom != 0])
if bottom_area > top_area:
correction_angle = 180
M = cv2.getRotationMatrix2D(center, correction_angle, 1.0)
rotated_output_img = cv2.warpAffine(rotated_output_img, M, (cols, rows))
final_angle = (final_angle + correction_angle) % 360
return rotated_output_img, final_angle
def getHeadMask(frame):
th_val = 1
ret, img_thresh = cv2.threshold(frame, th_val, 255, cv2.THRESH_BINARY)
# Remove excess noise by drawing only the largest contour
head_mask = np.zeros((img_thresh.shape[0], img_thresh.shape[1]), np.uint8)
contours, hierarchy = cv2.findContours(img_thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)[-2:]
contours.sort(key=lambda ar: ar.size)
head_contour = contours[-1]
cv2.drawContours(head_mask, [head_contour], 0, 255, cv2.FILLED)
return head_mask
def getHeadPoint(rotated_img, angle):
theta = math.radians(- angle)
img_binary = np.zeros(rotated_img.shape, np.uint8)
contours, hierarchy = cv2.findContours(rotated_img.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)[-2:]
contours.sort(key=lambda ar: ar.size)
largest_contour = contours[-1]
cv2.drawContours(img_binary, [largest_contour], 0, 255, cv2.FILLED)
valid_pixels = np.nonzero(img_binary)
x = valid_pixels[1]
y = valid_pixels[0]
head_x = x[np.argmin(y)]
head_y = np.min(y)
w, h = rotated_img.shape[:2]
center_x = w / 2
center_y = h / 2
hypot = math.hypot(center_x - head_x, center_y - head_y)
rotated_head_x = center_x - (hypot * math.sin(theta))
rotated_head_y = center_y - (hypot * math.cos(theta))
return rotated_head_x, rotated_head_y
def getTailStartPoint(head_mask, head_point, config):
# Calculate the angle from the head point to the contour center
# Then, 'walk' down the line from the head point to the contour center point a set length
contours, hierarchy = cv2.findContours(head_mask.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)[-2:]
contour = contours[-1]
# Get contour center
contour_moments = cv2.moments(contour)
contour_center_x = int(contour_moments['m10'] / contour_moments['m00'])
contour_center_y = int(contour_moments['m01'] / contour_moments['m00'])
head_x = head_point[0]
head_y = head_point[1]
head_contour_center_angle = math.atan2(contour_center_y - head_y, contour_center_x - head_x)
head_x = head_point[0]
head_y = head_point[1]
# Calculate tail start point
tail_start_x = head_x + config.tail_offset * math.cos(head_contour_center_angle)
tail_start_y = head_y + config.tail_offset * math.sin(head_contour_center_angle)
return (int(tail_start_x), int(tail_start_y))
def getModelMasks(head_mask, base_angle, frame, head_point, config):
# Generate the test image used for scoring models
test_image = getTestImage(frame, head_mask, head_point, base_angle, config)
# Create starting object
initial_canvas = MaskCanvas(head_mask.shape[0], head_mask.shape[1])
# Add tail starting point
initial_point = getTailStartPoint(head_mask, head_point, config)
initial_canvas.add_point(initial_point)
# Set base angle
initial_canvas.angle_offset = -base_angle
canvas_set = [initial_canvas]
output_canvas_set = drawModelSegments(canvas_set, config.num_segments, test_image, config)
return output_canvas_set
def getTestImage(frame, head_mask, head_point, angle, config):
# Remove the head from the test image using a triangular mask, so it doesn't interfere with tail model scoring
center_x, center_y = getTailStartPoint(head_mask, head_point, config)
triangle_length = 100
t0_angle_radians = math.radians(angle)
t0_x = center_x + triangle_length * math.sin(t0_angle_radians)
t0_y = center_y - triangle_length * math.cos(t0_angle_radians)
t1_angle_radians = math.radians(angle - 90)
t1_x = center_x + triangle_length * math.sin(t1_angle_radians)
t1_y = center_y - triangle_length * math.cos(t1_angle_radians)
t2_angle_radians = math.radians(angle + 90)
t2_x = center_x + triangle_length * math.sin(t2_angle_radians)
t2_y = center_y - triangle_length * math.cos(t2_angle_radians)
triangle_points = np.array([(t0_x, t0_y), (t1_x, t1_y), (t2_x, t2_y)]).astype('int32')
test_image = frame.copy()
cv2.fillConvexPoly(test_image, triangle_points, 0)
return test_image
def drawModelSegments(canvas_set, num_segments, test_image, config):
angle_increment = (config.max_angle - config.min_angle) / config.num_models_per_segment
output_set = []
for canvas in canvas_set:
for i in range(0, config.num_models_per_segment + 1):
# Calculate segment rotation angle
rotation_angle = config.min_angle + (i * angle_increment)
# Draw line on canvas
new_canvas = MaskCanvas(0, 0)
new_canvas.canvas = canvas.canvas.copy()
new_canvas.points = list(canvas.points)
new_canvas.angle_offset = canvas.angle_offset
new_canvas.scores = list(canvas.scores)
segment_width = config.segment_widths[-num_segments]
segment_height = config.segment_heights[-num_segments]
canvas_with_segment = drawSegmentOnCanvas(new_canvas, rotation_angle, segment_width, segment_height)
# Add canvas to output set
output_set.append(canvas_with_segment)
# Prune the models with the lowest scores
if num_segments % config.prune_freq == 0:
end_generation, output_set = pruneModels(test_image, output_set, config.max_num_models_to_keep, config)
# If auto-detect tail length is enabled, check for 'end model generation' flag
if config.auto_detect_tail_length:
if end_generation is True and num_segments < config.num_segments - config.min_segments:
i = len(output_set[0].points) - config.num_fail_segments # Remove the final failing segments
output_set[0].points = output_set[0].points[0:i]
return output_set
# Call the function recursively until all segments have been drawn on the canvases
if num_segments > 1:
return drawModelSegments(output_set, num_segments - 1, test_image, config)
else:
return output_set
def drawSegmentOnCanvas(canvas, angle, segment_width, segment_height):
# Take into account previous angles
adjusted_angle = angle + canvas.angle_offset
# Convert angle from degrees to radians
angle_radians = math.radians(adjusted_angle)
# Calculate position of next point
pt_x = canvas.last_point()[0] + segment_height * math.sin(angle_radians)
pt_y = canvas.last_point()[1] + segment_height * math.cos(angle_radians)
pt = (int(pt_x), int(pt_y))
# Draw line connecting points
cv2.line(canvas.canvas, canvas.last_point(), pt, 255, thickness=segment_width, lineType=cv2.LINE_AA)
# Add the new point to the MaskCanvas object's list of points
canvas.add_point(pt)
# Update 'angle_offset' on the MaskCanvas object
canvas.angle_offset += angle
return canvas
def pruneModels(test_image, canvas_set, max_num_models_to_keep, config):
for canvas in canvas_set:
score = scoreModel(canvas, test_image)
canvas.scores.append(score)
# Order canvas list by scores
canvas_set.sort(key=lambda c: c.last_score())
# Remove all masks except the ones with the top scores
keep_num = max_num_models_to_keep if len(canvas_set) > max_num_models_to_keep else len(canvas_set)
pruned_set = canvas_set[-keep_num:]
# Return the pruned set of models if tail length auto-detection is off
if config.auto_detect_tail_length == False:
return False, pruned_set
# Otherwise, decide whether to continue adding segments to the models or not
best_canvas = canvas_set[-1]
# If the set continuous number of segments fail to meet the threshold improvement score,
# signal that the model should stop being generated (ie. no further segments should be added, and the final
# failing x segments should be removed from the model)
end_generation = False
for x in range(1, config.num_fail_segments + 1):
if best_canvas.score_improvement(x) > config.segment_score_improvement_threshold:
break
if x == config.num_fail_segments:
end_generation = True
return end_generation, pruned_set
def scoreModel(canvas, test_image):
# Find pixels in the test image which overlap with the model
masked_img = cv2.bitwise_and(test_image, test_image, mask=canvas.canvas)
# Get non-zero pixels
valid_pixels = masked_img[masked_img != 0]
# Adjust pixel values so that darker pixels will score higher than lighter pixels (as fish is darker than the background)
adjusted_vals = 256 - valid_pixels
# Calculate score
score = int(cv2.sumElems(adjusted_vals)[0])
return score
def smoothMaskModel(mask_canvas, config):
points = mask_canvas.points
points = np.array(points)
points = points.astype(int)
x = points[:, 0]
y = points[:, 1]
window_length = len(y)
if window_length % 2 == 0:
window_length -= 1
polyorder = 3
yhat = savgol_filter(y, window_length, polyorder)
output_points = []
for a, b in zip(x, yhat):
new_point = [a, b]
output_points.append(new_point)
output_points = np.array(output_points)
output_points = output_points.astype(int)
mask = np.zeros(mask_canvas.canvas.shape, np.uint8)
cv2.polylines(mask, [output_points], False, 255, thickness=config.smoothed_segment_width)
return mask, output_points
def getCombinationMask(head_mask, tail_mask):
combination_mask = cv2.add(head_mask, tail_mask)
return combination_mask
def cleanMask(mask):
# Apply closing to smooth the edges of the mask
kernel_size = 5
kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (kernel_size, kernel_size)) # Circle
mask_closing = cv2.morphologyEx(mask, cv2.MORPH_CLOSE, kernel)
return mask_closing
def getZebrafishMask(frame, config):
# Get orientated image and rotation angle
rotated_img, angle = getOrientation(frame, config)
# Get head mask
head_mask = getHeadMask(frame)
# Get head point
head_point = getHeadPoint(rotated_img, angle)
# Get model masks
model_masks = getModelMasks(head_mask, angle, frame, head_point, config)
# Get best mask
test_image = getTestImage(frame, head_mask, head_point, angle, config)
_, mask_set = pruneModels(test_image, model_masks, 1, config)
best_mask = mask_set[0]
# Smooth the best mask
smoothed_mask, smoothed_points = smoothMaskModel(best_mask, config)
# Get combination mask
combination_mask = getCombinationMask(head_mask, smoothed_mask)
# Clean mask
cleaned_mask = cleanMask(combination_mask)
worm_mask = cleaned_mask.copy()
contours, hierarchy = cv2.findContours(cleaned_mask.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)[-2:]
if len(contours) == 0:
output = None
else:
# Remove nesting from contour
worm_cnt = contours[0]
worm_cnt = np.vstack(worm_cnt).squeeze()
# Return None values if contour too small
if len(worm_cnt) < 3:
output = None
else:
cnt_area = cv2.contourArea(worm_cnt)
output = worm_mask, worm_cnt, cnt_area, \
cleaned_mask, head_point, smoothed_points
if output is None:
return [None]*6
else:
return output
|
mit
|
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andreaso/ansible
|
lib/ansible/module_utils/openstack.py
|
57
|
4600
|
# This code is part of Ansible, but is an independent component.
# This particular file snippet, and this file snippet only, is BSD licensed.
# Modules you write using this snippet, which is embedded dynamically by Ansible
# still belong to the author of the module, and may assign their own license
# to the complete work.
#
# Copyright (c) 2014 Hewlett-Packard Development Company, L.P.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification,
# are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
# IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE
# USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import os
from ansible.module_utils.six import iteritems
def openstack_argument_spec():
# DEPRECATED: This argument spec is only used for the deprecated old
# OpenStack modules. It turns out that modern OpenStack auth is WAY
# more complex than this.
# Consume standard OpenStack environment variables.
# This is mainly only useful for ad-hoc command line operation as
# in playbooks one would assume variables would be used appropriately
OS_AUTH_URL=os.environ.get('OS_AUTH_URL', 'http://127.0.0.1:35357/v2.0/')
OS_PASSWORD=os.environ.get('OS_PASSWORD', None)
OS_REGION_NAME=os.environ.get('OS_REGION_NAME', None)
OS_USERNAME=os.environ.get('OS_USERNAME', 'admin')
OS_TENANT_NAME=os.environ.get('OS_TENANT_NAME', OS_USERNAME)
spec = dict(
login_username = dict(default=OS_USERNAME),
auth_url = dict(default=OS_AUTH_URL),
region_name = dict(default=OS_REGION_NAME),
availability_zone = dict(default=None),
)
if OS_PASSWORD:
spec['login_password'] = dict(default=OS_PASSWORD)
else:
spec['login_password'] = dict(required=True)
if OS_TENANT_NAME:
spec['login_tenant_name'] = dict(default=OS_TENANT_NAME)
else:
spec['login_tenant_name'] = dict(required=True)
return spec
def openstack_find_nova_addresses(addresses, ext_tag, key_name=None):
ret = []
for (k, v) in iteritems(addresses):
if key_name and k == key_name:
ret.extend([addrs['addr'] for addrs in v])
else:
for interface_spec in v:
if 'OS-EXT-IPS:type' in interface_spec and interface_spec['OS-EXT-IPS:type'] == ext_tag:
ret.append(interface_spec['addr'])
return ret
def openstack_full_argument_spec(**kwargs):
spec = dict(
cloud=dict(default=None),
auth_type=dict(default=None),
auth=dict(default=None, type='dict', no_log=True),
region_name=dict(default=None),
availability_zone=dict(default=None),
verify=dict(default=None, type='bool', aliases=['validate_certs']),
cacert=dict(default=None),
cert=dict(default=None),
key=dict(default=None, no_log=True),
wait=dict(default=True, type='bool'),
timeout=dict(default=180, type='int'),
api_timeout=dict(default=None, type='int'),
endpoint_type=dict(
default='public', choices=['public', 'internal', 'admin']
)
)
spec.update(kwargs)
return spec
def openstack_module_kwargs(**kwargs):
ret = {}
for key in ('mutually_exclusive', 'required_together', 'required_one_of'):
if key in kwargs:
if key in ret:
ret[key].extend(kwargs[key])
else:
ret[key] = kwargs[key]
return ret
|
gpl-3.0
|
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EVERROCKET/mobile-data
|
googleapiclient/discovery_cache/file_cache.py
|
35
|
4028
|
# Copyright 2014 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""File based cache for the discovery document.
The cache is stored in a single file so that multiple processes can
share the same cache. It locks the file whenever accesing to the
file. When the cache content is corrupted, it will be initialized with
an empty cache.
"""
from __future__ import division
import datetime
import json
import logging
import os
import tempfile
import threading
from oauth2client.locked_file import LockedFile
from . import base
from ..discovery_cache import DISCOVERY_DOC_MAX_AGE
logger = logging.getLogger(__name__)
FILENAME = 'google-api-python-client-discovery-doc.cache'
EPOCH = datetime.datetime.utcfromtimestamp(0)
def _to_timestamp(date):
try:
return (date - EPOCH).total_seconds()
except AttributeError:
# The following is the equivalent of total_seconds() in Python2.6.
# See also: https://docs.python.org/2/library/datetime.html
delta = date - EPOCH
return ((delta.microseconds + (delta.seconds + delta.days * 24 * 3600)
* 10**6) / 10**6)
def _read_or_initialize_cache(f):
f.file_handle().seek(0)
try:
cache = json.load(f.file_handle())
except Exception:
# This means it opens the file for the first time, or the cache is
# corrupted, so initializing the file with an empty dict.
cache = {}
f.file_handle().truncate(0)
f.file_handle().seek(0)
json.dump(cache, f.file_handle())
return cache
class Cache(base.Cache):
"""A file based cache for the discovery documents."""
def __init__(self, max_age):
"""Constructor.
Args:
max_age: Cache expiration in seconds.
"""
self._max_age = max_age
self._file = os.path.join(tempfile.gettempdir(), FILENAME)
f = LockedFile(self._file, 'a+', 'r')
try:
f.open_and_lock()
if f.is_locked():
_read_or_initialize_cache(f)
# If we can not obtain the lock, other process or thread must
# have initialized the file.
except Exception as e:
logging.warning(e, exc_info=True)
finally:
f.unlock_and_close()
def get(self, url):
f = LockedFile(self._file, 'r+', 'r')
try:
f.open_and_lock()
if f.is_locked():
cache = _read_or_initialize_cache(f)
if url in cache:
content, t = cache.get(url, (None, 0))
if _to_timestamp(datetime.datetime.now()) < t + self._max_age:
return content
return None
else:
logger.debug('Could not obtain a lock for the cache file.')
return None
except Exception as e:
logger.warning(e, exc_info=True)
finally:
f.unlock_and_close()
def set(self, url, content):
f = LockedFile(self._file, 'r+', 'r')
try:
f.open_and_lock()
if f.is_locked():
cache = _read_or_initialize_cache(f)
cache[url] = (content, _to_timestamp(datetime.datetime.now()))
# Remove stale cache.
for k, (_, timestamp) in list(cache.items()):
if _to_timestamp(datetime.datetime.now()) >= timestamp + self._max_age:
del cache[k]
f.file_handle().truncate(0)
f.file_handle().seek(0)
json.dump(cache, f.file_handle())
else:
logger.debug('Could not obtain a lock for the cache file.')
except Exception as e:
logger.warning(e, exc_info=True)
finally:
f.unlock_and_close()
cache = Cache(max_age=DISCOVERY_DOC_MAX_AGE)
|
apache-2.0
|
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] |
[
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DavidNorman/tensorflow
|
tensorflow/python/ops/parallel_for/gradients_test.py
|
9
|
27916
|
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for jacobian and batch_jacobian ops."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
import os
import time
import numpy as np
from tensorflow.python.client import session
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import errors
from tensorflow.python.framework import ops
from tensorflow.python.framework import test_util
from tensorflow.python.keras.engine import training as keras_training
from tensorflow.python.layers import layers as tf_layers
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import control_flow_ops as tf_control_flow_ops
from tensorflow.python.ops import functional_ops
from tensorflow.python.ops import gradients as gradient_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import nn
from tensorflow.python.ops import random_ops
from tensorflow.python.ops import rnn
from tensorflow.python.ops import rnn_cell
from tensorflow.python.ops import variables
from tensorflow.python.ops.losses import losses
from tensorflow.python.ops.parallel_for import control_flow_ops
from tensorflow.python.ops.parallel_for import gradients
from tensorflow.python.platform import test
from tensorflow.python.util import nest
class FullyConnectedModel(object):
def __init__(self, activation_size, num_layers):
self._layers = [
tf_layers.Dense(activation_size, activation=nn.relu)
for _ in range(num_layers)
]
def __call__(self, inp):
activation = inp
for layer in self._layers:
activation = layer(activation)
return activation
def fully_connected_model_fn(batch_size, activation_size, num_layers):
model = FullyConnectedModel(activation_size, num_layers)
inp = random_ops.random_normal([batch_size, activation_size])
return inp, model(inp)
def lstm_model_fn(batch_size, state_size, steps, inputs_size=None):
inputs_size = inputs_size or state_size
inputs = [
random_ops.random_normal([batch_size, inputs_size]) for _ in range(steps)
]
cell = rnn_cell.BasicLSTMCell(state_size)
init_state = cell.zero_state(batch_size, dtypes.float32)
state = init_state
for inp in inputs:
_, state = cell(inp, state)
return init_state.c, state.c
def dynamic_lstm_model_fn(batch_size, state_size, max_steps):
# We make inputs and sequence_length constant so that multiple session.run
# calls produce the same result.
inputs = constant_op.constant(
np.random.rand(batch_size, max_steps, state_size), dtype=dtypes.float32)
sequence_length = constant_op.constant(
np.random.randint(0, size=[batch_size], high=max_steps + 1),
dtype=dtypes.int32)
cell = rnn_cell.BasicLSTMCell(state_size)
initial_state = cell.zero_state(batch_size, dtypes.float32)
return inputs, rnn.dynamic_rnn(
cell,
inputs,
sequence_length=sequence_length,
initial_state=initial_state)
def create_fc_batch_jacobian(batch_size, activation_size, num_layers):
inp, output = fully_connected_model_fn(batch_size, activation_size,
num_layers)
pfor_jacobian = gradients.batch_jacobian(output, inp, use_pfor=True)
while_jacobian = gradients.batch_jacobian(output, inp, use_pfor=False)
return pfor_jacobian, while_jacobian
def create_lstm_batch_jacobian(batch_size, state_size, steps, inputs_size=None):
inp, output = lstm_model_fn(batch_size, state_size, steps,
inputs_size=inputs_size)
pfor_jacobian = gradients.batch_jacobian(output, inp, use_pfor=True)
while_jacobian = gradients.batch_jacobian(output, inp, use_pfor=False)
return pfor_jacobian, while_jacobian
def create_dynamic_lstm_batch_jacobian(batch_size, state_size, max_steps):
inp, (_, final_state) = dynamic_lstm_model_fn(batch_size, state_size,
max_steps)
pfor_jacobian = gradients.batch_jacobian(final_state.c, inp, use_pfor=True)
# Note that use_pfor=False does not work above given the current limitations
# on implementation of while_loop. So we statically unroll the looping in the
# jacobian computation.
while_gradients = [
gradient_ops.gradients(array_ops.gather(final_state.c, i, axis=1), inp)[0]
for i in range(state_size)
]
return pfor_jacobian, while_gradients
def create_lstm_batch_hessian(batch_size, state_size, steps):
inp, output = lstm_model_fn(batch_size, state_size, steps)
pfor_jacobian = gradients.batch_jacobian(output, inp, use_pfor=True)
pfor_jacobian = array_ops.reshape(pfor_jacobian, [batch_size, -1])
pfor_hessian = gradients.batch_jacobian(pfor_jacobian, inp, use_pfor=True)
# TODO(agarwal): using two nested while_loop doesn't seem to work here.
# Hence we use pfor_jacobian for computing while_hessian.
while_jacobian = pfor_jacobian
while_hessian = gradients.batch_jacobian(while_jacobian, inp, use_pfor=False)
return pfor_hessian, while_hessian
def create_lstm_hessian(batch_size, state_size, steps):
_, output = lstm_model_fn(batch_size, state_size, steps)
weights = variables.trainable_variables()
pfor_jacobians = gradients.jacobian(output, weights, use_pfor=True)
pfor_hessians = [
gradients.jacobian(x, weights, use_pfor=True) for x in pfor_jacobians
]
# TODO(agarwal): using two nested while_loop doesn't seem to work here.
# Hence we use pfor_jacobians for computing while_hessians.
while_jacobians = pfor_jacobians
while_hessians = [
gradients.jacobian(x, weights, use_pfor=False) for x in while_jacobians
]
return pfor_hessians, while_hessians
def create_fc_per_eg_grad(batch_size, activation_size, num_layers):
inp = random_ops.random_normal([batch_size, activation_size])
layers = [
tf_layers.Dense(activation_size, activation=nn.relu)
for _ in range(num_layers)
]
projection = tf_layers.Dense(1)
def model_fn(activation):
for layer in layers:
activation = layer(activation)
activation = projection(activation)
activation = nn.l2_loss(activation)
return gradient_ops.gradients(activation, variables.trainable_variables())
def loop_fn(i):
return model_fn(array_ops.expand_dims(array_ops.gather(inp, i), 0))
pfor_outputs = control_flow_ops.pfor(loop_fn, batch_size)
loop_fn_dtypes = [x.dtype for x in variables.trainable_variables()]
while_outputs = control_flow_ops.for_loop(loop_fn, loop_fn_dtypes, batch_size)
return pfor_outputs, while_outputs
def create_lstm_per_eg_grad(batch_size, state_size, steps, inputs_size=None):
inputs_size = inputs_size or state_size
inputs = [
random_ops.random_normal([batch_size, inputs_size]) for _ in range(steps)
]
cell = rnn_cell.BasicLSTMCell(state_size)
init_state = cell.zero_state(batch_size, dtypes.float32)
def model_fn(inps, init_state):
state = init_state
for inp in inps:
_, state = cell(inp, state)
output = nn.l2_loss(state.c)
return gradient_ops.gradients(output, variables.trainable_variables())
def loop_fn(i):
loop_inputs = [
array_ops.expand_dims(array_ops.gather(x, i), 0) for x in inputs
]
loop_init_state = rnn_cell.LSTMStateTuple(
*[array_ops.expand_dims(array_ops.gather(x, i), 0) for x in init_state])
return model_fn(loop_inputs, loop_init_state)
pfor_outputs = control_flow_ops.pfor(loop_fn, batch_size)
loop_fn_dtypes = [x.dtype for x in variables.trainable_variables()]
while_outputs = control_flow_ops.for_loop(loop_fn, loop_fn_dtypes, batch_size)
return pfor_outputs, while_outputs
# Importing the code from tensorflow_models seems to cause errors. Hence we
# duplicate the model definition here.
# TODO(agarwal): Use the version in tensorflow_models/official instead.
class Mnist(keras_training.Model):
def __init__(self, data_format):
"""Creates a model for classifying a hand-written digit.
Args:
data_format: Either 'channels_first' or 'channels_last'.
"""
super(Mnist, self).__init__()
if data_format == "channels_first":
self._input_shape = [-1, 1, 28, 28]
else:
assert data_format == "channels_last"
self._input_shape = [-1, 28, 28, 1]
self.conv1 = tf_layers.Conv2D(
32, 5, padding="same", data_format=data_format, activation=nn.relu)
self.conv2 = tf_layers.Conv2D(
64, 5, padding="same", data_format=data_format, activation=nn.relu)
self.fc1 = tf_layers.Dense(1024, activation=nn.relu)
self.fc2 = tf_layers.Dense(10)
self.dropout = tf_layers.Dropout(0.4)
self.max_pool2d = tf_layers.MaxPooling2D(
(2, 2), (2, 2), padding="same", data_format=data_format)
def __call__(self, inputs, training):
"""Add operations to classify a batch of input images.
Args:
inputs: A Tensor representing a batch of input images.
training: A boolean. Set to True to add operations required only when
training the classifier.
Returns:
A logits Tensor with shape [<batch_size>, 10].
"""
y = array_ops.reshape(inputs, self._input_shape)
y = self.conv1(y)
y = self.max_pool2d(y)
y = self.conv2(y)
y = self.max_pool2d(y)
y = tf_layers.flatten(y)
y = self.fc1(y)
y = self.dropout(y, training=training)
return self.fc2(y)
def create_mnist_autobatch(batch_size, data_format, training):
images = random_ops.random_uniform([batch_size, 28, 28])
model = Mnist(data_format)
manual = model(images, training=training)
def loop_fn(i):
image = array_ops.gather(images, i)
return model(image, training=training)
pfor_outputs = control_flow_ops.pfor(loop_fn, batch_size)
while_outputs = control_flow_ops.for_loop(
loop_fn, dtypes.float32, batch_size)
return pfor_outputs, while_outputs, manual
def create_mnist_per_eg_grad(batch_size, data_format, training):
images = random_ops.random_uniform([batch_size, 28, 28])
sparse_labels = np.random.randint(
low=0, high=10, size=[batch_size]).astype(np.int32)
labels = np.zeros((batch_size, 10)).astype(np.float32)
labels[np.arange(batch_size), sparse_labels] = 1.
model = Mnist(data_format)
def loop_fn(i):
image = array_ops.gather(images, i)
label = array_ops.gather(labels, i)
logits = array_ops.reshape(model(image, training=training), [-1])
loss = losses.softmax_cross_entropy(
logits=logits, onehot_labels=label, reduction=losses.Reduction.NONE)
return gradient_ops.gradients(loss, variables.trainable_variables())
pfor_outputs = control_flow_ops.pfor(loop_fn, batch_size)
while_outputs = control_flow_ops.for_loop(
loop_fn, [dtypes.float32] * len(variables.trainable_variables()),
batch_size)
return pfor_outputs, while_outputs
def create_mnist_batch_jacobian(batch_size, data_format, training):
images = random_ops.random_uniform([batch_size, 28, 28])
model = Mnist(data_format)
logits = model(images, training=training)
pfor_jacobian = gradients.batch_jacobian(logits, images, use_pfor=True)
while_jacobian = gradients.batch_jacobian(logits, images, use_pfor=False)
return pfor_jacobian, while_jacobian
def create_mnist_per_eg_jacobian(batch_size, data_format, training):
images = random_ops.random_uniform([batch_size, 28, 28])
model = Mnist(data_format)
def loop_fn(i, use_pfor):
image = array_ops.gather(images, i)
logits = array_ops.reshape(model(image, training=training), [-1])
return gradients.jacobian(
logits, variables.trainable_variables(), use_pfor=use_pfor)
pfor_outputs = control_flow_ops.pfor(
functools.partial(loop_fn, use_pfor=True),
batch_size)
while_outputs = control_flow_ops.for_loop(
functools.partial(loop_fn, use_pfor=False),
[dtypes.float32] * len(variables.trainable_variables()), batch_size)
return pfor_outputs, while_outputs
def create_fc_per_eg_jacobians(batch_size, activation_size, num_layers):
model = FullyConnectedModel(activation_size=activation_size,
num_layers=num_layers)
inp = random_ops.random_normal([batch_size, activation_size])
output = model(inp)
jacobians = gradients.jacobian(output, variables.trainable_variables())
def loop_fn(i, use_pfor):
inp_i = array_ops.expand_dims(array_ops.gather(inp, i), 0)
output = array_ops.reshape(model(inp_i), [-1])
return gradients.jacobian(
output, variables.trainable_variables(), use_pfor=use_pfor)
per_eg_jacobians_pfor = control_flow_ops.pfor(
functools.partial(loop_fn, use_pfor=True),
batch_size)
per_eg_jacobians_while = control_flow_ops.for_loop(
functools.partial(loop_fn, use_pfor=False),
[dtypes.float32] * len(variables.trainable_variables()), batch_size)
return jacobians, per_eg_jacobians_pfor, per_eg_jacobians_while
@test_util.run_v1_only("b/122612051")
class GradientsTest(test.TestCase):
def run_and_assert_equal(self, targets1, targets2, atol=1e-4, rtol=1e-4):
targets1 = nest.flatten(targets1)
targets2 = nest.flatten(targets2)
assert len(targets1) == len(targets2)
init = variables.global_variables_initializer()
self.evaluate(init)
outputs = self.evaluate(targets1 + targets2)
n = len(outputs) // 2
for i in range(n):
self.assertAllClose(outputs[i], outputs[i + n], rtol=rtol, atol=atol)
def test_no_path(self):
for grad_func in [gradients.jacobian, gradients.batch_jacobian]:
for use_pfor in [True, False]:
x = constant_op.constant([[1.0]])
y = constant_op.constant([[2.0]])
self.assertIsNone(grad_func(y, x, use_pfor=use_pfor))
def test_jacobian_fixed_shape(self):
x = random_ops.random_uniform([2, 2])
y = math_ops.matmul(x, x, transpose_a=True)
jacobian_pfor = gradients.jacobian(y, x, use_pfor=True)
jacobian_while = gradients.jacobian(y, x, use_pfor=False)
answer = ops.convert_to_tensor([[
gradient_ops.gradients(y[0][0], x)[0],
gradient_ops.gradients(y[0][1], x)[0]
], [
gradient_ops.gradients(y[1][0], x)[0],
gradient_ops.gradients(y[1][1], x)[0]
]])
self.run_and_assert_equal(answer, jacobian_pfor)
self.run_and_assert_equal(answer, jacobian_while)
def test_jacobian_scan_shape(self):
# Shape x: [3, 4]
x = random_ops.random_uniform([3, 4])
elems = random_ops.random_uniform([6])
# Shape y: [6, 3, 4]
y = functional_ops.scan(lambda a, e: a + e, elems, initializer=x)
jacobian = gradients.jacobian(y, x)
expected_shape = [6, 3, 4, 3, 4]
self.assertAllEqual(expected_shape, jacobian.shape.as_list())
def test_jacobian_while_loop_shape(self):
# Shape x: [3, 4]
x = random_ops.random_uniform([3, 4])
_, y = tf_control_flow_ops.while_loop(lambda i, a: i > 5.,
lambda i, a: (i + 1, a + i),
(constant_op.constant(0.), x))
# Shape y: [2, 3]
y = y[:2, :3]
jacobian = gradients.jacobian(y, x)
expected_shape = [2, 3, 3, 4]
self.assertAllEqual(expected_shape, jacobian.shape.as_list())
def test_jacobian_unknown_shape(self):
with self.cached_session() as sess:
x = array_ops.placeholder(dtypes.float32, shape=[None, None])
y = math_ops.matmul(x, x, transpose_a=True)
jacobian_pfor = gradients.jacobian(y, x, use_pfor=True)
jacobian_while = gradients.jacobian(y, x, use_pfor=False)
answer = ops.convert_to_tensor([[
gradient_ops.gradients(y[0][0], x)[0],
gradient_ops.gradients(y[0][1], x)[0]
], [
gradient_ops.gradients(y[1][0], x)[0],
gradient_ops.gradients(y[1][1], x)[0]
]])
ans, pfor_value, while_value = sess.run(
[answer, jacobian_pfor, jacobian_while],
feed_dict={x: [[1, 2], [3, 4]]})
self.assertAllClose(ans, pfor_value)
self.assertAllClose(ans, while_value)
def test_jacobian_parallel_iterations(self):
x = constant_op.constant([[1., 2], [3, 4]])
y = math_ops.matmul(x, x)
self.assertAllClose(gradients.jacobian(y, x, parallel_iterations=2),
gradients.jacobian(y, x, parallel_iterations=3))
def test_batch_jacobian_bad_shapes(self):
x = random_ops.random_uniform([2, 2])
y = random_ops.random_uniform([3, 2])
with self.assertRaisesRegexp(ValueError, "Need first dimension of output"):
gradients.batch_jacobian(y, x, use_pfor=True)
def test_batch_jacobian_bad_unknown_shapes(self):
with self.cached_session() as sess:
x = array_ops.placeholder(dtypes.float32)
y = array_ops.concat([x, x], axis=0)
jacobian = gradients.batch_jacobian(y, x)
with self.assertRaisesRegexp(errors.InvalidArgumentError,
"assertion failed"):
sess.run(jacobian, feed_dict={x: [[1, 2], [3, 4]]})
def test_batch_jacobian_fixed_shape(self):
x = random_ops.random_uniform([2, 3, 5])
y = x * x
batch_jacobian_pfor = gradients.batch_jacobian(y, x, use_pfor=True)
batch_jacobian_while = gradients.batch_jacobian(y, x, use_pfor=False)
two_x = 2 * x
answer = array_ops.stack(
[array_ops.diag(two_x[0]),
array_ops.diag(two_x[1])])
self.run_and_assert_equal(answer, batch_jacobian_pfor)
self.run_and_assert_equal(answer, batch_jacobian_while)
def test_batch_jacobian_unknown_shape(self):
with self.cached_session() as sess:
x = array_ops.placeholder(dtypes.float32)
y = x * x
batch_jacobian_pfor = gradients.batch_jacobian(y, x, use_pfor=True)
batch_jacobian_while = gradients.batch_jacobian(y, x, use_pfor=False)
two_x = 2 * x
answer = array_ops.stack(
[array_ops.diag(two_x[0]),
array_ops.diag(two_x[1])])
ans, pfor_value, while_value = sess.run(
[answer, batch_jacobian_pfor, batch_jacobian_while],
feed_dict={x: [[1, 2], [3, 4]]})
self.assertAllClose(ans, pfor_value)
self.assertAllClose(ans, while_value)
def test_batch_jacobian_parallel_iterations(self):
x = constant_op.constant([[1., 2], [3, 4]])
w = constant_op.constant([[1., 2, 3, 4], [5, 6, 7, 8]])
y = math_ops.matmul(x, w)
self.assertAllClose(gradients.batch_jacobian(y, x, parallel_iterations=2),
gradients.batch_jacobian(y, x, parallel_iterations=3))
def test_fc_batch_jacobian(self):
pfor_jacobian, while_jacobian = create_fc_batch_jacobian(8, 4, 2)
self.run_and_assert_equal(pfor_jacobian, while_jacobian)
def test_lstm_batch_jacobian(self):
pfor_jacobian, while_jacobian = create_lstm_batch_jacobian(8, 4, 2,
inputs_size=128)
self.run_and_assert_equal(pfor_jacobian, while_jacobian)
@test_util.disable_xla("This test never passed for XLA")
def DISABLED_test_dynamic_lstm_batch_jacobian(self):
pfor_jacobian, while_gradients = create_dynamic_lstm_batch_jacobian(8, 4, 3)
with session.Session() as sess:
init = variables.global_variables_initializer()
self.evaluate(init)
pfor = self.evaluate(pfor_jacobian)
for i in range(4):
while_i = sess.run(while_gradients[i])
self.assertAllClose(while_i, pfor[:, i, ...])
def test_lstm_hessian(self):
pfor_hessian, while_hessian = create_lstm_hessian(2, 2, 2)
self.run_and_assert_equal(pfor_hessian, while_hessian)
def test_lstm_batch_hessian(self):
pfor_hessian, while_hessian = create_lstm_batch_hessian(2, 2, 2)
self.run_and_assert_equal(pfor_hessian, while_hessian)
def test_fc_per_eg_grad(self):
pfor_outputs, while_outputs = create_fc_per_eg_grad(8, 4, 2)
self.run_and_assert_equal(pfor_outputs, while_outputs)
def test_lstm_per_eg_grad(self):
pfor_outputs, while_outputs = create_lstm_per_eg_grad(8, 4, 2)
self.run_and_assert_equal(pfor_outputs, while_outputs)
def test_mnist_per_eg_grad(self):
# It looks like CUDNN_CONVOLUTION_BWD_DATA_ALGO_WINOGRAD_NONFUSED
# configuration of Winograd can cause low precision output resulting in
# tests failing. So we disable that here.
os.environ["TF_ENABLE_WINOGRAD_NONFUSED"] = "0"
data_format = ("channels_first"
if test.is_gpu_available() else "channels_last")
# Note that we we are setting training=False here so that dropout produces
# the same result with pfor and with while_loop.
pfor_outputs, while_outputs = create_mnist_per_eg_grad(
4, data_format, training=False)
self.run_and_assert_equal(pfor_outputs, while_outputs, rtol=1e-3)
os.environ.pop("TF_ENABLE_WINOGRAD_NONFUSED", None)
def test_mnist_per_eg_jacobian(self):
# It looks like CUDNN_CONVOLUTION_BWD_DATA_ALGO_WINOGRAD_NONFUSED
# configuration of Winograd can cause low precision output resulting in
# tests failing. So we disable that here.
os.environ["TF_ENABLE_WINOGRAD_NONFUSED"] = "0"
data_format = ("channels_first"
if test.is_gpu_available() else "channels_last")
# Note that we we are setting training=False here so that dropout produces
# the same result with pfor and with while_loop.
pfor_outputs, while_outputs = create_mnist_per_eg_jacobian(
2, data_format, training=False)
self.run_and_assert_equal(pfor_outputs, while_outputs, rtol=1e-3)
os.environ.pop("TF_ENABLE_WINOGRAD_NONFUSED", None)
def test_fc_jacobian(self):
jacobians, per_eg_jacobians_pfor, per_eg_jacobians_while = (
create_fc_per_eg_jacobians(batch_size=8,
activation_size=4,
num_layers=2))
self.run_and_assert_equal(jacobians, per_eg_jacobians_pfor,
rtol=2e-3, atol=1e-3)
self.run_and_assert_equal(jacobians, per_eg_jacobians_while,
rtol=2e-3, atol=1e-3)
def test_indexed_slice(self):
inp = random_ops.random_uniform([3, 2])
output = nn.embedding_lookup(inp, [0, 2])
pfor_jacobian = gradients.jacobian(output, inp, use_pfor=True)
while_jacobian = gradients.jacobian(output, inp, use_pfor=False)
self.run_and_assert_equal(while_jacobian, pfor_jacobian)
class GradientsBenchmarks(test.Benchmark):
def _run(self, targets, iters, name=None):
def _done(t):
# Note that we don't use tf.control_dependencies since that will not make
# sure that the computation on GPU has actually finished. So we fetch the
# first element of the output, and assume that this will not be called on
# empty tensors.
return array_ops.gather(array_ops.reshape(t, [-1]), 0)
targets = [_done(x) for x in nest.flatten(targets)]
sess = session.Session()
with sess:
init = variables.global_variables_initializer()
self.evaluate(init)
self.evaluate(targets)
begin = time.time()
for _ in range(iters):
self.evaluate(targets)
end = time.time()
avg_time_ms = (1000 * (end - begin)) / iters
self.report_benchmark(iters=iters, wall_time=avg_time_ms, name=name)
return avg_time_ms
def benchmark_fc_batch_jacobian(self):
with ops.Graph().as_default():
pfor_jacobian, while_jacobian = create_fc_batch_jacobian(100, 32, 20)
self._run(pfor_jacobian, 100, name="fc_batch_jacobian_pfor")
self._run(while_jacobian, 20, name="fc_batch_jacobian_while")
def benchmark_lstm_batch_jacobian(self):
with ops.Graph().as_default():
pfor_jacobian, while_jacobian = create_lstm_batch_jacobian(
100, 32, 8, inputs_size=128)
self._run(pfor_jacobian, 100, name="lstm_batch_jacobian_pfor")
self._run(while_jacobian, 20, name="lstm_batch_jacobian_while")
def benchmark_lstm_hessian(self):
with ops.Graph().as_default():
pfor_hessian, while_hessian = create_lstm_hessian(2, 2, 10)
self._run(pfor_hessian, 20, name="lstm_hessian_pfor")
self._run(while_hessian, 3, name="lstm_hessian_while_pfor")
def benchmark_lstm_batch_hessian(self):
with ops.Graph().as_default():
pfor_hessian, while_hessian = create_lstm_batch_hessian(4, 4, 10)
self._run(pfor_hessian, 100, name="lstm_batch_hessian_pfor")
self._run(while_hessian, 20, name="lstm_batch_hessian_while_pfor")
def benchmark_fc_per_eg_grad(self):
with ops.Graph().as_default():
pfor_outputs, while_outputs = create_fc_per_eg_grad(100, 32, 3)
self._run(pfor_outputs, 100, name="fc_per_eg_grad_pfor")
self._run(while_outputs, 20, name="fc_per_eg_grad_while")
def benchmark_lstm_per_eg_grad(self):
with ops.Graph().as_default():
pfor_outputs, while_outputs = create_lstm_per_eg_grad(100, 32, 8)
self._run(pfor_outputs, 100, name="lstm_per_eg_grad_pfor")
self._run(while_outputs, 20, name="lstm_per_eg_grad_while")
def benchmark_mnist_autobatch(self):
with ops.Graph().as_default():
data_format = ("channels_first"
if test.is_gpu_available() else "channels_last")
pfor_outputs, while_outputs, manual = create_mnist_autobatch(
100, data_format, training=False)
self._run(pfor_outputs, 100, name="mnist_pfor")
self._run(while_outputs, 20, name="mnist_while")
self._run(manual, 100, name="mnist_manual")
def benchmark_mnist_per_eg_grad(self):
with ops.Graph().as_default():
data_format = ("channels_first"
if test.is_gpu_available() else "channels_last")
pfor_outputs, while_outputs = create_mnist_per_eg_grad(
128, data_format, training=True)
self._run(pfor_outputs, 20, name="mnist_per_eg_grad_pfor")
self._run(while_outputs, 20, name="mnist_per_eg_grad_while")
def benchmark_mnist_per_eg_jacobian(self):
with ops.Graph().as_default():
if test.is_gpu_available():
data_format = "channels_first"
else:
data_format = "channels_last"
pfor_outputs, while_outputs = create_mnist_per_eg_jacobian(
16, data_format, training=True)
self._run(pfor_outputs, 20, name="mnist_per_eg_jacobian_pfor")
self._run(while_outputs, 20, name="mnist_per_eg_jacobian_while")
def benchmark_mnist_batch_jacobian(self):
with ops.Graph().as_default():
if test.is_gpu_available():
data_format = "channels_first"
else:
data_format = "channels_last"
pfor_outputs, while_outputs = create_mnist_batch_jacobian(
128, data_format, training=True)
self._run(pfor_outputs, 20, name="mnist_batch_jacobian_pfor")
self._run(while_outputs, 20, name="mnist_batch_jacobian_while")
def benchmark_fc_per_eg_jacobian(self):
with ops.Graph().as_default():
jacobians, per_eg_jacobians_pfor, per_eg_jacobians_while = (
create_fc_per_eg_jacobians(batch_size=128,
activation_size=32,
num_layers=3))
self._run(jacobians, 30, name="fc_jacobians_pfor")
self._run(per_eg_jacobians_pfor, 100,
name="fc_per_eg_jacobians_pfor")
self._run(per_eg_jacobians_while, 10,
name="fc_per_eg_jacobians_while")
if __name__ == "__main__":
test.main()
|
apache-2.0
|
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HackPartners/darwinpush
|
darwinpush/xb/raw/binding_.py
|
4
|
91665
|
# ./darwinpush/xb/raw/binding_.py
# -*- coding: utf-8 -*-
# PyXB bindings for NM:0b338ff90207234600b9b9432e9e9a2f47008914
# Generated 2015-04-23 16:42:14.515862 by PyXB version 1.2.4 using Python 3.4.1.final.0
# Namespace http://www.thalesgroup.com/rtti/XmlTimetable/v8
from __future__ import unicode_literals
import pyxb
import pyxb.binding
import pyxb.binding.saxer
import io
import pyxb.utils.utility
import pyxb.utils.domutils
import sys
import pyxb.utils.six as _six
# Unique identifier for bindings created at the same time
_GenerationUID = pyxb.utils.utility.UniqueIdentifier('urn:uuid:5049f1de-e9cf-11e4-bb50-a0481ca50ab0')
# Version of PyXB used to generate the bindings
_PyXBVersion = '1.2.4'
# Generated bindings are not compatible across PyXB versions
if pyxb.__version__ != _PyXBVersion:
raise pyxb.PyXBVersionError(_PyXBVersion)
# Import bindings for namespaces imported into schema
import pyxb.binding.datatypes
import darwinpush.xb.ct as _ImportedBinding_darwinpush_xb_ct
# NOTE: All namespace declarations are reserved within the binding
Namespace = pyxb.namespace.NamespaceForURI('http://www.thalesgroup.com/rtti/XmlTimetable/v8', create_if_missing=True)
Namespace.configureCategories(['typeBinding', 'elementBinding'])
def CreateFromDocument (xml_text, default_namespace=None, location_base=None):
"""Parse the given XML and use the document element to create a
Python instance.
@param xml_text An XML document. This should be data (Python 2
str or Python 3 bytes), or a text (Python 2 unicode or Python 3
str) in the L{pyxb._InputEncoding} encoding.
@keyword default_namespace The L{pyxb.Namespace} instance to use as the
default namespace where there is no default namespace in scope.
If unspecified or C{None}, the namespace of the module containing
this function will be used.
@keyword location_base: An object to be recorded as the base of all
L{pyxb.utils.utility.Location} instances associated with events and
objects handled by the parser. You might pass the URI from which
the document was obtained.
"""
if pyxb.XMLStyle_saxer != pyxb._XMLStyle:
dom = pyxb.utils.domutils.StringToDOM(xml_text)
return CreateFromDOM(dom.documentElement, default_namespace=default_namespace)
if default_namespace is None:
default_namespace = Namespace.fallbackNamespace()
saxer = pyxb.binding.saxer.make_parser(fallback_namespace=default_namespace, location_base=location_base)
handler = saxer.getContentHandler()
xmld = xml_text
if isinstance(xmld, _six.text_type):
xmld = xmld.encode(pyxb._InputEncoding)
saxer.parse(io.BytesIO(xmld))
instance = handler.rootObject()
return instance
def CreateFromDOM (node, default_namespace=None):
"""Create a Python instance from the given DOM node.
The node tag must correspond to an element declaration in this module.
@deprecated: Forcing use of DOM interface is unnecessary; use L{CreateFromDocument}."""
if default_namespace is None:
default_namespace = Namespace.fallbackNamespace()
return pyxb.binding.basis.element.AnyCreateFromDOM(node, default_namespace)
# Atomic simple type: {http://www.thalesgroup.com/rtti/XmlTimetable/v8}CategoryType
class CategoryType (pyxb.binding.datatypes.string, pyxb.binding.basis.enumeration_mixin):
"""Association Category Type: JJ=Join, VV=Split, LK=Linked, NP=Next-Working"""
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'CategoryType')
_XSDLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 28, 1)
_Documentation = 'Association Category Type: JJ=Join, VV=Split, LK=Linked, NP=Next-Working'
CategoryType._CF_enumeration = pyxb.binding.facets.CF_enumeration(value_datatype=CategoryType, enum_prefix=None)
CategoryType.JJ = CategoryType._CF_enumeration.addEnumeration(unicode_value='JJ', tag='JJ')
CategoryType.VV = CategoryType._CF_enumeration.addEnumeration(unicode_value='VV', tag='VV')
CategoryType.LK = CategoryType._CF_enumeration.addEnumeration(unicode_value='LK', tag='LK')
CategoryType.NP = CategoryType._CF_enumeration.addEnumeration(unicode_value='NP', tag='NP')
CategoryType._InitializeFacetMap(CategoryType._CF_enumeration)
Namespace.addCategoryObject('typeBinding', 'CategoryType', CategoryType)
# Complex type {http://www.thalesgroup.com/rtti/XmlTimetable/v8}AssocService with content type EMPTY
class AssocService (pyxb.binding.basis.complexTypeDefinition):
"""Complex type {http://www.thalesgroup.com/rtti/XmlTimetable/v8}AssocService with content type EMPTY"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'AssocService')
_XSDLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 40, 1)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Attribute wta uses Python identifier wta
__wta = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'wta'), 'wta', '__httpwww_thalesgroup_comrttiXmlTimetablev8_AssocService_wta', _ImportedBinding_darwinpush_xb_ct.WTimeType)
__wta._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiPPTCommonTypes_v1.xsd', 243, 2)
__wta._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiPPTCommonTypes_v1.xsd', 243, 2)
wta = property(__wta.value, __wta.set, None, 'Working time of arrival.')
# Attribute wtd uses Python identifier wtd
__wtd = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'wtd'), 'wtd', '__httpwww_thalesgroup_comrttiXmlTimetablev8_AssocService_wtd', _ImportedBinding_darwinpush_xb_ct.WTimeType)
__wtd._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiPPTCommonTypes_v1.xsd', 248, 2)
__wtd._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiPPTCommonTypes_v1.xsd', 248, 2)
wtd = property(__wtd.value, __wtd.set, None, 'Working time of departure.')
# Attribute wtp uses Python identifier wtp
__wtp = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'wtp'), 'wtp', '__httpwww_thalesgroup_comrttiXmlTimetablev8_AssocService_wtp', _ImportedBinding_darwinpush_xb_ct.WTimeType)
__wtp._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiPPTCommonTypes_v1.xsd', 253, 2)
__wtp._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiPPTCommonTypes_v1.xsd', 253, 2)
wtp = property(__wtp.value, __wtp.set, None, 'Working time of pass.')
# Attribute pta uses Python identifier pta
__pta = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'pta'), 'pta', '__httpwww_thalesgroup_comrttiXmlTimetablev8_AssocService_pta', _ImportedBinding_darwinpush_xb_ct.RTTITimeType)
__pta._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiPPTCommonTypes_v1.xsd', 258, 2)
__pta._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiPPTCommonTypes_v1.xsd', 258, 2)
pta = property(__pta.value, __pta.set, None, 'Public time of arrival.')
# Attribute ptd uses Python identifier ptd
__ptd = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'ptd'), 'ptd', '__httpwww_thalesgroup_comrttiXmlTimetablev8_AssocService_ptd', _ImportedBinding_darwinpush_xb_ct.RTTITimeType)
__ptd._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiPPTCommonTypes_v1.xsd', 263, 2)
__ptd._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiPPTCommonTypes_v1.xsd', 263, 2)
ptd = property(__ptd.value, __ptd.set, None, 'Public time of departure.')
# Attribute rid uses Python identifier rid
__rid = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'rid'), 'rid', '__httpwww_thalesgroup_comrttiXmlTimetablev8_AssocService_rid', _ImportedBinding_darwinpush_xb_ct.RIDType, required=True)
__rid._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 41, 2)
__rid._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 41, 2)
rid = property(__rid.value, __rid.set, None, 'RTTI Train ID. Note that since this is an RID, the service must already exist within Darwin.')
_ElementMap.update({
})
_AttributeMap.update({
__wta.name() : __wta,
__wtd.name() : __wtd,
__wtp.name() : __wtp,
__pta.name() : __pta,
__ptd.name() : __ptd,
__rid.name() : __rid
})
Namespace.addCategoryObject('typeBinding', 'AssocService', AssocService)
# Complex type {http://www.thalesgroup.com/rtti/XmlTimetable/v8}Association with content type ELEMENT_ONLY
class Association (pyxb.binding.basis.complexTypeDefinition):
"""Type describing an association between schedules"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'Association')
_XSDLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 52, 1)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.thalesgroup.com/rtti/XmlTimetable/v8}main uses Python identifier main
__main = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'main'), 'main', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Association_httpwww_thalesgroup_comrttiXmlTimetablev8main', False, pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 57, 3), )
main = property(__main.value, __main.set, None, 'The through, previous working or link-to service')
# Element {http://www.thalesgroup.com/rtti/XmlTimetable/v8}assoc uses Python identifier assoc
__assoc = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'assoc'), 'assoc', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Association_httpwww_thalesgroup_comrttiXmlTimetablev8assoc', False, pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 62, 3), )
assoc = property(__assoc.value, __assoc.set, None, 'The starting, terminating, subsequent working or link-from service')
# Attribute tiploc uses Python identifier tiploc
__tiploc = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'tiploc'), 'tiploc', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Association_tiploc', _ImportedBinding_darwinpush_xb_ct.TiplocType, required=True)
__tiploc._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 68, 2)
__tiploc._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 68, 2)
tiploc = property(__tiploc.value, __tiploc.set, None, 'The TIPLOC of the location where the association occurs.')
# Attribute category uses Python identifier category
__category = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'category'), 'category', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Association_category', CategoryType, required=True)
__category._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 73, 2)
__category._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 73, 2)
category = property(__category.value, __category.set, None, 'Association category')
# Attribute isCancelled uses Python identifier isCancelled
__isCancelled = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'isCancelled'), 'isCancelled', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Association_isCancelled', pyxb.binding.datatypes.boolean, unicode_default='false')
__isCancelled._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 78, 2)
__isCancelled._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 78, 2)
isCancelled = property(__isCancelled.value, __isCancelled.set, None, 'True if this association is cancelled, i.e. the association exists but will no longer happen.')
# Attribute isDeleted uses Python identifier isDeleted
__isDeleted = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'isDeleted'), 'isDeleted', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Association_isDeleted', pyxb.binding.datatypes.boolean, unicode_default='false')
__isDeleted._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 83, 2)
__isDeleted._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 83, 2)
isDeleted = property(__isDeleted.value, __isDeleted.set, None, 'True if this association is deleted, i.e. the association no longer exists.')
_ElementMap.update({
__main.name() : __main,
__assoc.name() : __assoc
})
_AttributeMap.update({
__tiploc.name() : __tiploc,
__category.name() : __category,
__isCancelled.name() : __isCancelled,
__isDeleted.name() : __isDeleted
})
Namespace.addCategoryObject('typeBinding', 'Association', Association)
# Complex type {http://www.thalesgroup.com/rtti/XmlTimetable/v8}OR with content type EMPTY
class OR (pyxb.binding.basis.complexTypeDefinition):
"""Defines a Passenger Origin Calling Point"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'OR')
_XSDLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 134, 1)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Attribute tpl uses Python identifier tpl
__tpl = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'tpl'), 'tpl', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OR_tpl', _ImportedBinding_darwinpush_xb_ct.TiplocType, required=True)
__tpl._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 93, 2)
__tpl._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 93, 2)
tpl = property(__tpl.value, __tpl.set, None, 'TIPLOC')
# Attribute act uses Python identifier act
__act = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'act'), 'act', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OR_act', _ImportedBinding_darwinpush_xb_ct.ActivityType, unicode_default=' ')
__act._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 98, 2)
__act._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 98, 2)
act = property(__act.value, __act.set, None, 'Current Activity Codes')
# Attribute planAct uses Python identifier planAct
__planAct = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'planAct'), 'planAct', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OR_planAct', _ImportedBinding_darwinpush_xb_ct.ActivityType)
__planAct._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 103, 2)
__planAct._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 103, 2)
planAct = property(__planAct.value, __planAct.set, None, 'Planned Activity Codes (if different to current activities)')
# Attribute can uses Python identifier can
__can = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'can'), 'can', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OR_can', pyxb.binding.datatypes.boolean, unicode_default='false')
__can._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 108, 2)
__can._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 108, 2)
can = property(__can.value, __can.set, None, 'Cancelled')
# Attribute plat uses Python identifier plat
__plat = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'plat'), 'plat', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OR_plat', _ImportedBinding_darwinpush_xb_ct.PlatformType)
__plat._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 113, 2)
__plat._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 113, 2)
plat = property(__plat.value, __plat.set, None, 'Platform number')
# Attribute pta uses Python identifier pta
__pta = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'pta'), 'pta', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OR_pta', _ImportedBinding_darwinpush_xb_ct.RTTITimeType)
__pta._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 123, 2)
__pta._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 123, 2)
pta = property(__pta.value, __pta.set, None, 'Public Scheduled Time of Arrival')
# Attribute ptd uses Python identifier ptd
__ptd = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'ptd'), 'ptd', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OR_ptd', _ImportedBinding_darwinpush_xb_ct.RTTITimeType)
__ptd._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 128, 2)
__ptd._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 128, 2)
ptd = property(__ptd.value, __ptd.set, None, 'Public Scheduled Time of Departure')
# Attribute wta uses Python identifier wta
__wta = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'wta'), 'wta', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OR_wta', _ImportedBinding_darwinpush_xb_ct.WTimeType)
__wta._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 140, 2)
__wta._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 140, 2)
wta = property(__wta.value, __wta.set, None, 'Working Scheduled Time of Arrival')
# Attribute wtd uses Python identifier wtd
__wtd = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'wtd'), 'wtd', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OR_wtd', _ImportedBinding_darwinpush_xb_ct.WTimeType, required=True)
__wtd._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 145, 2)
__wtd._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 145, 2)
wtd = property(__wtd.value, __wtd.set, None, 'Working Scheduled Time of Departure')
# Attribute fd uses Python identifier fd
__fd = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'fd'), 'fd', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OR_fd', _ImportedBinding_darwinpush_xb_ct.TiplocType)
__fd._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 150, 2)
__fd._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 150, 2)
fd = property(__fd.value, __fd.set, None, 'TIPLOC of False Destination to be used at this location')
_ElementMap.update({
})
_AttributeMap.update({
__tpl.name() : __tpl,
__act.name() : __act,
__planAct.name() : __planAct,
__can.name() : __can,
__plat.name() : __plat,
__pta.name() : __pta,
__ptd.name() : __ptd,
__wta.name() : __wta,
__wtd.name() : __wtd,
__fd.name() : __fd
})
Namespace.addCategoryObject('typeBinding', 'OR', OR)
# Complex type {http://www.thalesgroup.com/rtti/XmlTimetable/v8}OPOR with content type EMPTY
class OPOR (pyxb.binding.basis.complexTypeDefinition):
"""Defines an Operational Origin Calling Point"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'OPOR')
_XSDLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 156, 1)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Attribute tpl uses Python identifier tpl
__tpl = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'tpl'), 'tpl', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPOR_tpl', _ImportedBinding_darwinpush_xb_ct.TiplocType, required=True)
__tpl._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 93, 2)
__tpl._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 93, 2)
tpl = property(__tpl.value, __tpl.set, None, 'TIPLOC')
# Attribute act uses Python identifier act
__act = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'act'), 'act', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPOR_act', _ImportedBinding_darwinpush_xb_ct.ActivityType, unicode_default=' ')
__act._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 98, 2)
__act._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 98, 2)
act = property(__act.value, __act.set, None, 'Current Activity Codes')
# Attribute planAct uses Python identifier planAct
__planAct = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'planAct'), 'planAct', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPOR_planAct', _ImportedBinding_darwinpush_xb_ct.ActivityType)
__planAct._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 103, 2)
__planAct._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 103, 2)
planAct = property(__planAct.value, __planAct.set, None, 'Planned Activity Codes (if different to current activities)')
# Attribute can uses Python identifier can
__can = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'can'), 'can', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPOR_can', pyxb.binding.datatypes.boolean, unicode_default='false')
__can._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 108, 2)
__can._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 108, 2)
can = property(__can.value, __can.set, None, 'Cancelled')
# Attribute plat uses Python identifier plat
__plat = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'plat'), 'plat', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPOR_plat', _ImportedBinding_darwinpush_xb_ct.PlatformType)
__plat._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 113, 2)
__plat._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 113, 2)
plat = property(__plat.value, __plat.set, None, 'Platform number')
# Attribute wta uses Python identifier wta
__wta = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'wta'), 'wta', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPOR_wta', _ImportedBinding_darwinpush_xb_ct.WTimeType)
__wta._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 161, 2)
__wta._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 161, 2)
wta = property(__wta.value, __wta.set, None, 'Working Scheduled Time of Arrival')
# Attribute wtd uses Python identifier wtd
__wtd = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'wtd'), 'wtd', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPOR_wtd', _ImportedBinding_darwinpush_xb_ct.WTimeType, required=True)
__wtd._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 166, 2)
__wtd._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 166, 2)
wtd = property(__wtd.value, __wtd.set, None, 'Working Scheduled Time of Departure')
_ElementMap.update({
})
_AttributeMap.update({
__tpl.name() : __tpl,
__act.name() : __act,
__planAct.name() : __planAct,
__can.name() : __can,
__plat.name() : __plat,
__wta.name() : __wta,
__wtd.name() : __wtd
})
Namespace.addCategoryObject('typeBinding', 'OPOR', OPOR)
# Complex type {http://www.thalesgroup.com/rtti/XmlTimetable/v8}IP with content type EMPTY
class IP (pyxb.binding.basis.complexTypeDefinition):
"""Defines aPassenger Intermediate Calling Point"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'IP')
_XSDLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 172, 1)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Attribute tpl uses Python identifier tpl
__tpl = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'tpl'), 'tpl', '__httpwww_thalesgroup_comrttiXmlTimetablev8_IP_tpl', _ImportedBinding_darwinpush_xb_ct.TiplocType, required=True)
__tpl._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 93, 2)
__tpl._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 93, 2)
tpl = property(__tpl.value, __tpl.set, None, 'TIPLOC')
# Attribute act uses Python identifier act
__act = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'act'), 'act', '__httpwww_thalesgroup_comrttiXmlTimetablev8_IP_act', _ImportedBinding_darwinpush_xb_ct.ActivityType, unicode_default=' ')
__act._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 98, 2)
__act._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 98, 2)
act = property(__act.value, __act.set, None, 'Current Activity Codes')
# Attribute planAct uses Python identifier planAct
__planAct = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'planAct'), 'planAct', '__httpwww_thalesgroup_comrttiXmlTimetablev8_IP_planAct', _ImportedBinding_darwinpush_xb_ct.ActivityType)
__planAct._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 103, 2)
__planAct._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 103, 2)
planAct = property(__planAct.value, __planAct.set, None, 'Planned Activity Codes (if different to current activities)')
# Attribute can uses Python identifier can
__can = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'can'), 'can', '__httpwww_thalesgroup_comrttiXmlTimetablev8_IP_can', pyxb.binding.datatypes.boolean, unicode_default='false')
__can._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 108, 2)
__can._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 108, 2)
can = property(__can.value, __can.set, None, 'Cancelled')
# Attribute plat uses Python identifier plat
__plat = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'plat'), 'plat', '__httpwww_thalesgroup_comrttiXmlTimetablev8_IP_plat', _ImportedBinding_darwinpush_xb_ct.PlatformType)
__plat._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 113, 2)
__plat._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 113, 2)
plat = property(__plat.value, __plat.set, None, 'Platform number')
# Attribute pta uses Python identifier pta
__pta = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'pta'), 'pta', '__httpwww_thalesgroup_comrttiXmlTimetablev8_IP_pta', _ImportedBinding_darwinpush_xb_ct.RTTITimeType)
__pta._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 123, 2)
__pta._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 123, 2)
pta = property(__pta.value, __pta.set, None, 'Public Scheduled Time of Arrival')
# Attribute ptd uses Python identifier ptd
__ptd = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'ptd'), 'ptd', '__httpwww_thalesgroup_comrttiXmlTimetablev8_IP_ptd', _ImportedBinding_darwinpush_xb_ct.RTTITimeType)
__ptd._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 128, 2)
__ptd._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 128, 2)
ptd = property(__ptd.value, __ptd.set, None, 'Public Scheduled Time of Departure')
# Attribute wta uses Python identifier wta
__wta = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'wta'), 'wta', '__httpwww_thalesgroup_comrttiXmlTimetablev8_IP_wta', _ImportedBinding_darwinpush_xb_ct.WTimeType, required=True)
__wta._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 178, 2)
__wta._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 178, 2)
wta = property(__wta.value, __wta.set, None, 'Working Scheduled Time of Arrival')
# Attribute wtd uses Python identifier wtd
__wtd = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'wtd'), 'wtd', '__httpwww_thalesgroup_comrttiXmlTimetablev8_IP_wtd', _ImportedBinding_darwinpush_xb_ct.WTimeType, required=True)
__wtd._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 183, 2)
__wtd._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 183, 2)
wtd = property(__wtd.value, __wtd.set, None, 'Working Scheduled Time of Departure')
# Attribute rdelay uses Python identifier rdelay
__rdelay = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'rdelay'), 'rdelay', '__httpwww_thalesgroup_comrttiXmlTimetablev8_IP_rdelay', _ImportedBinding_darwinpush_xb_ct.DelayValueType, unicode_default='0')
__rdelay._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 188, 2)
__rdelay._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 188, 2)
rdelay = property(__rdelay.value, __rdelay.set, None, "A delay value that is implied by a change to the service's route.")
# Attribute fd uses Python identifier fd
__fd = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'fd'), 'fd', '__httpwww_thalesgroup_comrttiXmlTimetablev8_IP_fd', _ImportedBinding_darwinpush_xb_ct.TiplocType)
__fd._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 193, 2)
__fd._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 193, 2)
fd = property(__fd.value, __fd.set, None, 'TIPLOC of False Destination to be used at this location')
_ElementMap.update({
})
_AttributeMap.update({
__tpl.name() : __tpl,
__act.name() : __act,
__planAct.name() : __planAct,
__can.name() : __can,
__plat.name() : __plat,
__pta.name() : __pta,
__ptd.name() : __ptd,
__wta.name() : __wta,
__wtd.name() : __wtd,
__rdelay.name() : __rdelay,
__fd.name() : __fd
})
Namespace.addCategoryObject('typeBinding', 'IP', IP)
# Complex type {http://www.thalesgroup.com/rtti/XmlTimetable/v8}OPIP with content type EMPTY
class OPIP (pyxb.binding.basis.complexTypeDefinition):
"""Defines an Operational Intermediate Calling Point"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'OPIP')
_XSDLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 199, 1)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Attribute tpl uses Python identifier tpl
__tpl = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'tpl'), 'tpl', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPIP_tpl', _ImportedBinding_darwinpush_xb_ct.TiplocType, required=True)
__tpl._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 93, 2)
__tpl._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 93, 2)
tpl = property(__tpl.value, __tpl.set, None, 'TIPLOC')
# Attribute act uses Python identifier act
__act = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'act'), 'act', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPIP_act', _ImportedBinding_darwinpush_xb_ct.ActivityType, unicode_default=' ')
__act._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 98, 2)
__act._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 98, 2)
act = property(__act.value, __act.set, None, 'Current Activity Codes')
# Attribute planAct uses Python identifier planAct
__planAct = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'planAct'), 'planAct', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPIP_planAct', _ImportedBinding_darwinpush_xb_ct.ActivityType)
__planAct._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 103, 2)
__planAct._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 103, 2)
planAct = property(__planAct.value, __planAct.set, None, 'Planned Activity Codes (if different to current activities)')
# Attribute can uses Python identifier can
__can = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'can'), 'can', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPIP_can', pyxb.binding.datatypes.boolean, unicode_default='false')
__can._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 108, 2)
__can._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 108, 2)
can = property(__can.value, __can.set, None, 'Cancelled')
# Attribute plat uses Python identifier plat
__plat = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'plat'), 'plat', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPIP_plat', _ImportedBinding_darwinpush_xb_ct.PlatformType)
__plat._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 113, 2)
__plat._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 113, 2)
plat = property(__plat.value, __plat.set, None, 'Platform number')
# Attribute wta uses Python identifier wta
__wta = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'wta'), 'wta', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPIP_wta', _ImportedBinding_darwinpush_xb_ct.WTimeType, required=True)
__wta._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 204, 2)
__wta._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 204, 2)
wta = property(__wta.value, __wta.set, None, 'Working Scheduled Time of Arrival')
# Attribute wtd uses Python identifier wtd
__wtd = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'wtd'), 'wtd', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPIP_wtd', _ImportedBinding_darwinpush_xb_ct.WTimeType, required=True)
__wtd._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 209, 2)
__wtd._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 209, 2)
wtd = property(__wtd.value, __wtd.set, None, 'Working Scheduled Time of Departure')
# Attribute rdelay uses Python identifier rdelay
__rdelay = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'rdelay'), 'rdelay', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPIP_rdelay', _ImportedBinding_darwinpush_xb_ct.DelayValueType, unicode_default='0')
__rdelay._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 214, 2)
__rdelay._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 214, 2)
rdelay = property(__rdelay.value, __rdelay.set, None, "A delay value that is implied by a change to the service's route.")
_ElementMap.update({
})
_AttributeMap.update({
__tpl.name() : __tpl,
__act.name() : __act,
__planAct.name() : __planAct,
__can.name() : __can,
__plat.name() : __plat,
__wta.name() : __wta,
__wtd.name() : __wtd,
__rdelay.name() : __rdelay
})
Namespace.addCategoryObject('typeBinding', 'OPIP', OPIP)
# Complex type {http://www.thalesgroup.com/rtti/XmlTimetable/v8}PP with content type EMPTY
class PP (pyxb.binding.basis.complexTypeDefinition):
"""Defines an Intermediate Passing Point"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'PP')
_XSDLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 220, 1)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Attribute tpl uses Python identifier tpl
__tpl = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'tpl'), 'tpl', '__httpwww_thalesgroup_comrttiXmlTimetablev8_PP_tpl', _ImportedBinding_darwinpush_xb_ct.TiplocType, required=True)
__tpl._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 93, 2)
__tpl._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 93, 2)
tpl = property(__tpl.value, __tpl.set, None, 'TIPLOC')
# Attribute act uses Python identifier act
__act = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'act'), 'act', '__httpwww_thalesgroup_comrttiXmlTimetablev8_PP_act', _ImportedBinding_darwinpush_xb_ct.ActivityType, unicode_default=' ')
__act._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 98, 2)
__act._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 98, 2)
act = property(__act.value, __act.set, None, 'Current Activity Codes')
# Attribute planAct uses Python identifier planAct
__planAct = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'planAct'), 'planAct', '__httpwww_thalesgroup_comrttiXmlTimetablev8_PP_planAct', _ImportedBinding_darwinpush_xb_ct.ActivityType)
__planAct._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 103, 2)
__planAct._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 103, 2)
planAct = property(__planAct.value, __planAct.set, None, 'Planned Activity Codes (if different to current activities)')
# Attribute can uses Python identifier can
__can = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'can'), 'can', '__httpwww_thalesgroup_comrttiXmlTimetablev8_PP_can', pyxb.binding.datatypes.boolean, unicode_default='false')
__can._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 108, 2)
__can._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 108, 2)
can = property(__can.value, __can.set, None, 'Cancelled')
# Attribute plat uses Python identifier plat
__plat = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'plat'), 'plat', '__httpwww_thalesgroup_comrttiXmlTimetablev8_PP_plat', _ImportedBinding_darwinpush_xb_ct.PlatformType)
__plat._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 113, 2)
__plat._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 113, 2)
plat = property(__plat.value, __plat.set, None, 'Platform number')
# Attribute wtp uses Python identifier wtp
__wtp = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'wtp'), 'wtp', '__httpwww_thalesgroup_comrttiXmlTimetablev8_PP_wtp', _ImportedBinding_darwinpush_xb_ct.WTimeType, required=True)
__wtp._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 225, 2)
__wtp._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 225, 2)
wtp = property(__wtp.value, __wtp.set, None, 'Working Scheduled Time of Passing')
# Attribute rdelay uses Python identifier rdelay
__rdelay = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'rdelay'), 'rdelay', '__httpwww_thalesgroup_comrttiXmlTimetablev8_PP_rdelay', _ImportedBinding_darwinpush_xb_ct.DelayValueType, unicode_default='0')
__rdelay._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 230, 2)
__rdelay._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 230, 2)
rdelay = property(__rdelay.value, __rdelay.set, None, "A delay value that is implied by a change to the service's route.")
_ElementMap.update({
})
_AttributeMap.update({
__tpl.name() : __tpl,
__act.name() : __act,
__planAct.name() : __planAct,
__can.name() : __can,
__plat.name() : __plat,
__wtp.name() : __wtp,
__rdelay.name() : __rdelay
})
Namespace.addCategoryObject('typeBinding', 'PP', PP)
# Complex type {http://www.thalesgroup.com/rtti/XmlTimetable/v8}DT with content type EMPTY
class DT (pyxb.binding.basis.complexTypeDefinition):
"""Defines a Passenger Destination Calling point"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'DT')
_XSDLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 236, 1)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Attribute tpl uses Python identifier tpl
__tpl = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'tpl'), 'tpl', '__httpwww_thalesgroup_comrttiXmlTimetablev8_DT_tpl', _ImportedBinding_darwinpush_xb_ct.TiplocType, required=True)
__tpl._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 93, 2)
__tpl._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 93, 2)
tpl = property(__tpl.value, __tpl.set, None, 'TIPLOC')
# Attribute act uses Python identifier act
__act = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'act'), 'act', '__httpwww_thalesgroup_comrttiXmlTimetablev8_DT_act', _ImportedBinding_darwinpush_xb_ct.ActivityType, unicode_default=' ')
__act._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 98, 2)
__act._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 98, 2)
act = property(__act.value, __act.set, None, 'Current Activity Codes')
# Attribute planAct uses Python identifier planAct
__planAct = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'planAct'), 'planAct', '__httpwww_thalesgroup_comrttiXmlTimetablev8_DT_planAct', _ImportedBinding_darwinpush_xb_ct.ActivityType)
__planAct._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 103, 2)
__planAct._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 103, 2)
planAct = property(__planAct.value, __planAct.set, None, 'Planned Activity Codes (if different to current activities)')
# Attribute can uses Python identifier can
__can = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'can'), 'can', '__httpwww_thalesgroup_comrttiXmlTimetablev8_DT_can', pyxb.binding.datatypes.boolean, unicode_default='false')
__can._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 108, 2)
__can._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 108, 2)
can = property(__can.value, __can.set, None, 'Cancelled')
# Attribute plat uses Python identifier plat
__plat = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'plat'), 'plat', '__httpwww_thalesgroup_comrttiXmlTimetablev8_DT_plat', _ImportedBinding_darwinpush_xb_ct.PlatformType)
__plat._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 113, 2)
__plat._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 113, 2)
plat = property(__plat.value, __plat.set, None, 'Platform number')
# Attribute pta uses Python identifier pta
__pta = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'pta'), 'pta', '__httpwww_thalesgroup_comrttiXmlTimetablev8_DT_pta', _ImportedBinding_darwinpush_xb_ct.RTTITimeType)
__pta._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 123, 2)
__pta._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 123, 2)
pta = property(__pta.value, __pta.set, None, 'Public Scheduled Time of Arrival')
# Attribute ptd uses Python identifier ptd
__ptd = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'ptd'), 'ptd', '__httpwww_thalesgroup_comrttiXmlTimetablev8_DT_ptd', _ImportedBinding_darwinpush_xb_ct.RTTITimeType)
__ptd._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 128, 2)
__ptd._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 128, 2)
ptd = property(__ptd.value, __ptd.set, None, 'Public Scheduled Time of Departure')
# Attribute wta uses Python identifier wta
__wta = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'wta'), 'wta', '__httpwww_thalesgroup_comrttiXmlTimetablev8_DT_wta', _ImportedBinding_darwinpush_xb_ct.WTimeType, required=True)
__wta._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 242, 2)
__wta._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 242, 2)
wta = property(__wta.value, __wta.set, None, 'Working Scheduled Time of Arrival')
# Attribute wtd uses Python identifier wtd
__wtd = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'wtd'), 'wtd', '__httpwww_thalesgroup_comrttiXmlTimetablev8_DT_wtd', _ImportedBinding_darwinpush_xb_ct.WTimeType)
__wtd._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 247, 2)
__wtd._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 247, 2)
wtd = property(__wtd.value, __wtd.set, None, 'Working Scheduled Time of Departure')
# Attribute rdelay uses Python identifier rdelay
__rdelay = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'rdelay'), 'rdelay', '__httpwww_thalesgroup_comrttiXmlTimetablev8_DT_rdelay', _ImportedBinding_darwinpush_xb_ct.DelayValueType, unicode_default='0')
__rdelay._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 252, 2)
__rdelay._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 252, 2)
rdelay = property(__rdelay.value, __rdelay.set, None, "A delay value that is implied by a change to the service's route.")
_ElementMap.update({
})
_AttributeMap.update({
__tpl.name() : __tpl,
__act.name() : __act,
__planAct.name() : __planAct,
__can.name() : __can,
__plat.name() : __plat,
__pta.name() : __pta,
__ptd.name() : __ptd,
__wta.name() : __wta,
__wtd.name() : __wtd,
__rdelay.name() : __rdelay
})
Namespace.addCategoryObject('typeBinding', 'DT', DT)
# Complex type {http://www.thalesgroup.com/rtti/XmlTimetable/v8}OPDT with content type EMPTY
class OPDT (pyxb.binding.basis.complexTypeDefinition):
"""Defines an Operational Destination Calling point"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'OPDT')
_XSDLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 258, 1)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Attribute tpl uses Python identifier tpl
__tpl = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'tpl'), 'tpl', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPDT_tpl', _ImportedBinding_darwinpush_xb_ct.TiplocType, required=True)
__tpl._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 93, 2)
__tpl._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 93, 2)
tpl = property(__tpl.value, __tpl.set, None, 'TIPLOC')
# Attribute act uses Python identifier act
__act = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'act'), 'act', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPDT_act', _ImportedBinding_darwinpush_xb_ct.ActivityType, unicode_default=' ')
__act._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 98, 2)
__act._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 98, 2)
act = property(__act.value, __act.set, None, 'Current Activity Codes')
# Attribute planAct uses Python identifier planAct
__planAct = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'planAct'), 'planAct', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPDT_planAct', _ImportedBinding_darwinpush_xb_ct.ActivityType)
__planAct._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 103, 2)
__planAct._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 103, 2)
planAct = property(__planAct.value, __planAct.set, None, 'Planned Activity Codes (if different to current activities)')
# Attribute can uses Python identifier can
__can = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'can'), 'can', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPDT_can', pyxb.binding.datatypes.boolean, unicode_default='false')
__can._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 108, 2)
__can._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 108, 2)
can = property(__can.value, __can.set, None, 'Cancelled')
# Attribute plat uses Python identifier plat
__plat = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'plat'), 'plat', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPDT_plat', _ImportedBinding_darwinpush_xb_ct.PlatformType)
__plat._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 113, 2)
__plat._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 113, 2)
plat = property(__plat.value, __plat.set, None, 'Platform number')
# Attribute wta uses Python identifier wta
__wta = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'wta'), 'wta', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPDT_wta', _ImportedBinding_darwinpush_xb_ct.WTimeType, required=True)
__wta._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 263, 2)
__wta._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 263, 2)
wta = property(__wta.value, __wta.set, None, 'Working Scheduled Time of Arrival')
# Attribute wtd uses Python identifier wtd
__wtd = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'wtd'), 'wtd', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPDT_wtd', _ImportedBinding_darwinpush_xb_ct.WTimeType)
__wtd._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 268, 2)
__wtd._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 268, 2)
wtd = property(__wtd.value, __wtd.set, None, 'Working Scheduled Time of Departure')
# Attribute rdelay uses Python identifier rdelay
__rdelay = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'rdelay'), 'rdelay', '__httpwww_thalesgroup_comrttiXmlTimetablev8_OPDT_rdelay', _ImportedBinding_darwinpush_xb_ct.DelayValueType, unicode_default='0')
__rdelay._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 273, 2)
__rdelay._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 273, 2)
rdelay = property(__rdelay.value, __rdelay.set, None, "A delay value that is implied by a change to the service's route.")
_ElementMap.update({
})
_AttributeMap.update({
__tpl.name() : __tpl,
__act.name() : __act,
__planAct.name() : __planAct,
__can.name() : __can,
__plat.name() : __plat,
__wta.name() : __wta,
__wtd.name() : __wtd,
__rdelay.name() : __rdelay
})
Namespace.addCategoryObject('typeBinding', 'OPDT', OPDT)
# Complex type {http://www.thalesgroup.com/rtti/XmlTimetable/v8}Schedule with content type ELEMENT_ONLY
class Schedule (pyxb.binding.basis.complexTypeDefinition):
"""Train Schedule"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'Schedule')
_XSDLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 279, 1)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.thalesgroup.com/rtti/XmlTimetable/v8}OR uses Python identifier OR
__OR = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'OR'), 'OR', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_httpwww_thalesgroup_comrttiXmlTimetablev8OR', True, pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 285, 4), )
OR = property(__OR.value, __OR.set, None, 'Origin location')
# Element {http://www.thalesgroup.com/rtti/XmlTimetable/v8}OPOR uses Python identifier OPOR
__OPOR = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'OPOR'), 'OPOR', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_httpwww_thalesgroup_comrttiXmlTimetablev8OPOR', True, pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 290, 4), )
OPOR = property(__OPOR.value, __OPOR.set, None, 'Operational origin location')
# Element {http://www.thalesgroup.com/rtti/XmlTimetable/v8}IP uses Python identifier IP
__IP = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'IP'), 'IP', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_httpwww_thalesgroup_comrttiXmlTimetablev8IP', True, pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 295, 4), )
IP = property(__IP.value, __IP.set, None, 'Intermediate calling location')
# Element {http://www.thalesgroup.com/rtti/XmlTimetable/v8}OPIP uses Python identifier OPIP
__OPIP = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'OPIP'), 'OPIP', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_httpwww_thalesgroup_comrttiXmlTimetablev8OPIP', True, pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 300, 4), )
OPIP = property(__OPIP.value, __OPIP.set, None, 'Intermediate operational calling location')
# Element {http://www.thalesgroup.com/rtti/XmlTimetable/v8}PP uses Python identifier PP
__PP = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'PP'), 'PP', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_httpwww_thalesgroup_comrttiXmlTimetablev8PP', True, pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 305, 4), )
PP = property(__PP.value, __PP.set, None, 'Passing location')
# Element {http://www.thalesgroup.com/rtti/XmlTimetable/v8}DT uses Python identifier DT
__DT = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'DT'), 'DT', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_httpwww_thalesgroup_comrttiXmlTimetablev8DT', True, pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 310, 4), )
DT = property(__DT.value, __DT.set, None, 'Destination location')
# Element {http://www.thalesgroup.com/rtti/XmlTimetable/v8}OPDT uses Python identifier OPDT
__OPDT = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'OPDT'), 'OPDT', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_httpwww_thalesgroup_comrttiXmlTimetablev8OPDT', True, pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 315, 4), )
OPDT = property(__OPDT.value, __OPDT.set, None, 'Operational destination location')
# Element {http://www.thalesgroup.com/rtti/XmlTimetable/v8}cancelReason uses Python identifier cancelReason
__cancelReason = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'cancelReason'), 'cancelReason', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_httpwww_thalesgroup_comrttiXmlTimetablev8cancelReason', False, pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 321, 3), )
cancelReason = property(__cancelReason.value, __cancelReason.set, None, 'Reason for cancellation of service/location')
# Attribute rid uses Python identifier rid
__rid = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'rid'), 'rid', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_rid', _ImportedBinding_darwinpush_xb_ct.RIDType, required=True)
__rid._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 327, 2)
__rid._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 327, 2)
rid = property(__rid.value, __rid.set, None, 'RTTI unique Train ID')
# Attribute uid uses Python identifier uid
__uid = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'uid'), 'uid', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_uid', _ImportedBinding_darwinpush_xb_ct.UIDType, required=True)
__uid._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 332, 2)
__uid._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 332, 2)
uid = property(__uid.value, __uid.set, None, 'Train UID')
# Attribute trainId uses Python identifier trainId
__trainId = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'trainId'), 'trainId', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_trainId', _ImportedBinding_darwinpush_xb_ct.TrainIdType, required=True)
__trainId._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 337, 2)
__trainId._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 337, 2)
trainId = property(__trainId.value, __trainId.set, None, 'Train ID (Headcode)')
# Attribute ssd uses Python identifier ssd
__ssd = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'ssd'), 'ssd', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_ssd', _ImportedBinding_darwinpush_xb_ct.RTTIDateType, required=True)
__ssd._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 342, 2)
__ssd._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 342, 2)
ssd = property(__ssd.value, __ssd.set, None, 'Scheduled Start Date')
# Attribute toc uses Python identifier toc
__toc = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'toc'), 'toc', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_toc', _ImportedBinding_darwinpush_xb_ct.TOCType, required=True)
__toc._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 347, 2)
__toc._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 347, 2)
toc = property(__toc.value, __toc.set, None, 'ATOC Code')
# Attribute status uses Python identifier status
__status = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'status'), 'status', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_status', _ImportedBinding_darwinpush_xb_ct.CIFTrainStatusType, unicode_default='P')
__status._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 352, 2)
__status._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 352, 2)
status = property(__status.value, __status.set, None, 'Type of service, i.e. Train/Bus/Ship.')
# Attribute trainCat uses Python identifier trainCat
__trainCat = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'trainCat'), 'trainCat', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_trainCat', _ImportedBinding_darwinpush_xb_ct.CIFTrainCategoryType, unicode_default='OO')
__trainCat._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 357, 2)
__trainCat._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 357, 2)
trainCat = property(__trainCat.value, __trainCat.set, None, 'Category of service.')
# Attribute isPassengerSvc uses Python identifier isPassengerSvc
__isPassengerSvc = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'isPassengerSvc'), 'isPassengerSvc', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_isPassengerSvc', pyxb.binding.datatypes.boolean, unicode_default='true')
__isPassengerSvc._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 362, 2)
__isPassengerSvc._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 362, 2)
isPassengerSvc = property(__isPassengerSvc.value, __isPassengerSvc.set, None, 'True if Darwin classifies the train category as a passenger service.')
# Attribute deleted uses Python identifier deleted
__deleted = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'deleted'), 'deleted', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_deleted', pyxb.binding.datatypes.boolean, unicode_default='false')
__deleted._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 367, 2)
__deleted._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 367, 2)
deleted = property(__deleted.value, __deleted.set, None, 'Service has been deleted and should not be used/displayed.')
# Attribute isCharter uses Python identifier isCharter
__isCharter = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'isCharter'), 'isCharter', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_isCharter', pyxb.binding.datatypes.boolean, unicode_default='false')
__isCharter._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 372, 2)
__isCharter._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 372, 2)
isCharter = property(__isCharter.value, __isCharter.set, None, 'Indicates if this service is a charter service.')
# Attribute qtrain uses Python identifier qtrain
__qtrain = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'qtrain'), 'qtrain', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_qtrain', pyxb.binding.datatypes.boolean, unicode_default='false')
__qtrain._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 377, 2)
__qtrain._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 377, 2)
qtrain = property(__qtrain.value, __qtrain.set, None, 'True if this is a Q Train (runs as required) that has not yet been activated. Note that a Q Train that has been activated before the XML Timetable file has been built will not have this attribute set true.')
# Attribute can uses Python identifier can
__can = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'can'), 'can', '__httpwww_thalesgroup_comrttiXmlTimetablev8_Schedule_can', pyxb.binding.datatypes.boolean, unicode_default='false')
__can._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 382, 2)
__can._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 382, 2)
can = property(__can.value, __can.set, None, None)
_ElementMap.update({
__OR.name() : __OR,
__OPOR.name() : __OPOR,
__IP.name() : __IP,
__OPIP.name() : __OPIP,
__PP.name() : __PP,
__DT.name() : __DT,
__OPDT.name() : __OPDT,
__cancelReason.name() : __cancelReason
})
_AttributeMap.update({
__rid.name() : __rid,
__uid.name() : __uid,
__trainId.name() : __trainId,
__ssd.name() : __ssd,
__toc.name() : __toc,
__status.name() : __status,
__trainCat.name() : __trainCat,
__isPassengerSvc.name() : __isPassengerSvc,
__deleted.name() : __deleted,
__isCharter.name() : __isCharter,
__qtrain.name() : __qtrain,
__can.name() : __can
})
Namespace.addCategoryObject('typeBinding', 'Schedule', Schedule)
# Complex type [anonymous] with content type ELEMENT_ONLY
class CTD_ANON (pyxb.binding.basis.complexTypeDefinition):
"""Push Port Timetable Schema"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = None
_XSDLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 389, 2)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.thalesgroup.com/rtti/XmlTimetable/v8}Journey uses Python identifier Journey
__Journey = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Journey'), 'Journey', '__httpwww_thalesgroup_comrttiXmlTimetablev8_CTD_ANON_httpwww_thalesgroup_comrttiXmlTimetablev8Journey', True, pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 391, 4), )
Journey = property(__Journey.value, __Journey.set, None, 'Schedule of a service that exists in Darwin')
# Element {http://www.thalesgroup.com/rtti/XmlTimetable/v8}Association uses Python identifier Association
__Association = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Association'), 'Association', '__httpwww_thalesgroup_comrttiXmlTimetablev8_CTD_ANON_httpwww_thalesgroup_comrttiXmlTimetablev8Association', True, pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 396, 4), )
Association = property(__Association.value, __Association.set, None, 'An association between two schedules')
# Attribute timetableID uses Python identifier timetableID
__timetableID = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'timetableID'), 'timetableID', '__httpwww_thalesgroup_comrttiXmlTimetablev8_CTD_ANON_timetableID', _ImportedBinding_darwinpush_xb_ct.TimetableIDType, required=True)
__timetableID._DeclarationLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 402, 3)
__timetableID._UseLocation = pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 402, 3)
timetableID = property(__timetableID.value, __timetableID.set, None, 'The ID of the RTTI timetable from which this XML timetable was generated.')
_ElementMap.update({
__Journey.name() : __Journey,
__Association.name() : __Association
})
_AttributeMap.update({
__timetableID.name() : __timetableID
})
PportTimetable = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'PportTimetable'), CTD_ANON, documentation='Push Port Timetable Schema', location=pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 385, 1))
Namespace.addCategoryObject('elementBinding', PportTimetable.name().localName(), PportTimetable)
Association._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'main'), AssocService, scope=Association, documentation='The through, previous working or link-to service', location=pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 57, 3)))
Association._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'assoc'), AssocService, scope=Association, documentation='The starting, terminating, subsequent working or link-from service', location=pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 62, 3)))
def _BuildAutomaton ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton
del _BuildAutomaton
import pyxb.utils.fac as fac
counters = set()
states = []
final_update = None
symbol = pyxb.binding.content.ElementUse(Association._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'main')), pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 57, 3))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
final_update = set()
symbol = pyxb.binding.content.ElementUse(Association._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'assoc')), pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 62, 3))
st_1 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_1)
transitions = []
transitions.append(fac.Transition(st_1, [
]))
st_0._set_transitionSet(transitions)
transitions = []
st_1._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
Association._Automaton = _BuildAutomaton()
Schedule._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'OR'), OR, scope=Schedule, documentation='Origin location', location=pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 285, 4)))
Schedule._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'OPOR'), OPOR, scope=Schedule, documentation='Operational origin location', location=pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 290, 4)))
Schedule._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'IP'), IP, scope=Schedule, documentation='Intermediate calling location', location=pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 295, 4)))
Schedule._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'OPIP'), OPIP, scope=Schedule, documentation='Intermediate operational calling location', location=pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 300, 4)))
Schedule._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'PP'), PP, scope=Schedule, documentation='Passing location', location=pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 305, 4)))
Schedule._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'DT'), DT, scope=Schedule, documentation='Destination location', location=pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 310, 4)))
Schedule._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'OPDT'), OPDT, scope=Schedule, documentation='Operational destination location', location=pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 315, 4)))
Schedule._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'cancelReason'), _ImportedBinding_darwinpush_xb_ct.DisruptionReasonType, scope=Schedule, documentation='Reason for cancellation of service/location', location=pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 321, 3)))
def _BuildAutomaton_ ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_
del _BuildAutomaton_
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(min=2, max=None, metadata=pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 284, 3))
counters.add(cc_0)
cc_1 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 321, 3))
counters.add(cc_1)
states = []
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(Schedule._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'OR')), pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 285, 4))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(Schedule._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'OPOR')), pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 290, 4))
st_1 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_1)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(Schedule._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'IP')), pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 295, 4))
st_2 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_2)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(Schedule._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'OPIP')), pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 300, 4))
st_3 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_3)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(Schedule._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'PP')), pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 305, 4))
st_4 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_4)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(Schedule._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'DT')), pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 310, 4))
st_5 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_5)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(Schedule._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'OPDT')), pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 315, 4))
st_6 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_6)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_1, False))
symbol = pyxb.binding.content.ElementUse(Schedule._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'cancelReason')), pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 321, 3))
st_7 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False)
states.append(st_7)
transitions = []
transitions.append(fac.Transition(st_0, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_0, False) ]))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_0, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_0, False) ]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_0, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_0, False) ]))
st_2._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_0, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_0, False) ]))
st_3._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_0, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_0, False) ]))
st_4._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_0, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_0, False) ]))
st_5._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_0, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_0, False) ]))
st_6._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_1, True) ]))
st_7._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
Schedule._Automaton = _BuildAutomaton_()
CTD_ANON._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Journey'), Schedule, scope=CTD_ANON, documentation='Schedule of a service that exists in Darwin', location=pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 391, 4)))
CTD_ANON._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Association'), Association, scope=CTD_ANON, documentation='An association between two schedules', location=pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 396, 4)))
def _BuildAutomaton_2 ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_2
del _BuildAutomaton_2
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 391, 4))
counters.add(cc_0)
cc_1 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 396, 4))
counters.add(cc_1)
states = []
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(CTD_ANON._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Journey')), pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 391, 4))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_1, False))
symbol = pyxb.binding.content.ElementUse(CTD_ANON._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Association')), pyxb.utils.utility.Location('/home/gberg/code/src/fstr/darwinpush/xsd/rttiCTTSchema_v8.xsd', 396, 4))
st_1 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_1)
transitions = []
transitions.append(fac.Transition(st_0, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, False) ]))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_1, True) ]))
st_1._set_transitionSet(transitions)
return fac.Automaton(states, counters, True, containing_state=None)
CTD_ANON._Automaton = _BuildAutomaton_2()
|
apache-2.0
|
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] |
cnexus/kernel_d2spr_tw_422
|
tools/perf/util/setup.py
|
4998
|
1330
|
#!/usr/bin/python2
from distutils.core import setup, Extension
from os import getenv
from distutils.command.build_ext import build_ext as _build_ext
from distutils.command.install_lib import install_lib as _install_lib
class build_ext(_build_ext):
def finalize_options(self):
_build_ext.finalize_options(self)
self.build_lib = build_lib
self.build_temp = build_tmp
class install_lib(_install_lib):
def finalize_options(self):
_install_lib.finalize_options(self)
self.build_dir = build_lib
cflags = ['-fno-strict-aliasing', '-Wno-write-strings']
cflags += getenv('CFLAGS', '').split()
build_lib = getenv('PYTHON_EXTBUILD_LIB')
build_tmp = getenv('PYTHON_EXTBUILD_TMP')
ext_sources = [f.strip() for f in file('util/python-ext-sources')
if len(f.strip()) > 0 and f[0] != '#']
perf = Extension('perf',
sources = ext_sources,
include_dirs = ['util/include'],
extra_compile_args = cflags,
)
setup(name='perf',
version='0.1',
description='Interface with the Linux profiling infrastructure',
author='Arnaldo Carvalho de Melo',
author_email='acme@redhat.com',
license='GPLv2',
url='http://perf.wiki.kernel.org',
ext_modules=[perf],
cmdclass={'build_ext': build_ext, 'install_lib': install_lib})
|
gpl-2.0
|
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flake123p/ProjectH
|
Python/Think01_swampy-2.1.5/Sync.py
|
2
|
24407
|
#!/usr/bin/python
"""This module is part of Swampy, a suite of programs available from
allendowney.com/swampy.
Copyright 2011 Allen B. Downey
Distributed under the GNU General Public License at gnu.org/licenses/gpl.html.
"""
import optparse
import os
import copy
import random
import sys
import string
import time
# the following definitions can be accessed in the simulator
current_thread = None
def noop(*args):
"""A handy function taht does nothing."""
def balk():
"""Jumps to the top of the column."""
current_thread.balk()
class Semaphore:
"""Represents a semaphore in the simulator.
Maintains a random queue.
"""
def __init__(self, n=0):
self.n = n
self.queue = []
def __str__(self): return str(self.n)
def wait(self):
self.n -= 1
if self.n < 0:
self.block()
return self.n
def block(self):
thread = current_thread
thread.enqueue()
self.queue.append(thread)
def signal(self, n=1):
for i in range(n):
self.n += 1
if self.queue:
self.unblock()
def unblock(self):
"""Chooses a random thread and unblocks it."""
thread = random.choice(self.queue)
self.queue.remove(thread)
thread.dequeue()
thread.next_loop()
class FifoSemaphore(Semaphore):
"""Semaphore that implements a FIFO queue."""
def unblock(self):
"""Chooses the first thread and unblocks it."""
thread = self.queue.pop(0)
thread.dequeue()
thread.next_loop()
class Lightswitch:
"""Encapsulates the lightswitch pattern."""
def __init__(self):
self.counter = 0
self.mutex = Semaphore(1)
def lock(self, semaphore):
self.mutex.wait()
self.counter += 1
if self.counter == 1:
semaphore.wait()
self.mutex.signal()
def unlock(self, semaphore):
self.mutex.wait()
self.counter -= 1
if self.counter == 0:
semaphore.signal()
self.mutex.signal()
def pid():
"""Gets the ID of the current thread."""
return current_thread.name
def num_threads():
"""Gets the number of threads."""
sync = current_thread.column.p
return len(sync.threads)
# make globals and locals for the simulator
sim_globals = copy.copy(globals())
sim_locals = dict()
# anything defined after this point is not available inside the simulator
from tkinter import N, S, E, W, TOP, BOTTOM, LEFT, RIGHT, END
from Gui import Gui, GuiCanvas
# get the version of Python
v = sys.version.split()[0].split('.')
major = int(v[0])
if major == 2:
all_thread_names = string.uppercase + string.lowercase
else:
all_thread_names = string.ascii_uppercase + string.ascii_lowercase
font = ("Courier", 12)
FSU = 9 # FSU, the fundamental Sync unit,
# determines the size of most things.
class Sync(Gui):
"""Represents the thread simulator."""
def __init__(self, args=['']):
Gui.__init__(self)
self.parse_args(args)
self.namer = Namer()
self.locals = sim_locals
self.globals = sim_globals
self.views = {}
self.w = self
self.threads = []
self.running = False
self.delay = 0.2
self.setup()
self.run_init()
for col in self.cols:
col.create_thread()
def parse_args(self, args):
parser = optparse.OptionParser()
parser.add_option('-w', '--write', dest='write',
action='store_true', default=False,
help='Write thread code in code subdirectory?')
parser.add_option('-s', '--side', dest='initside',
action='store_true', default=False,
help='Move the initialization code to the left side?')
(self.options, args) = parser.parse_args(args)
if args:
self.filename = args[0]
else:
self.filename = ''
def get_name(self, name=None):
return self.namer.next(name)
def get_threads(self):
return self.threads
def set_global(self, **kwds):
self.globals.update(kwds)
def get_global(self, attr):
return self.globals[attr]
def destroy(self):
"""Closes the top window."""
self.running = False
Gui.destroy(self)
def setup(self):
"""Makes the GUI."""
if self.filename:
self.read_file(self.filename)
self.make_columns()
if self.options.write:
self.write_files(self.filename)
return
self.topcol = Column(self, n=5)
self.colfr = self.fr()
self.cols = [Column(self, LEFT, n=5) for i in range(2)]
self.bu(side=RIGHT, text='Add\ncolumn', command=self.add_col)
self.endfr()
self.buttons()
def buttons(self):
"""Makes the buttons."""
self.row([1,1,1,1,1])
self.bu(text='Run', command=self.run)
self.bu(text='Random Run', command=self.random_run)
self.bu(text='Stop', command=self.stop)
self.bu(text='Step', command=self.step)
self.bu(text='Random Step', command=self.random_step)
self.endfr()
def register(self, thread):
"""Adds a new thread."""
self.threads.append(thread)
def unregister(self, thread):
"""Removes a thread."""
self.threads.remove(thread)
def run(self):
"""Runs the simulator with round-robin scheduling."""
self.run_helper(self.step)
def random_run(self):
"""Runs the simulator with random scheduling."""
self.run_helper(self.random_step)
def run_helper(self, step=None):
"""Runs the threads until someone clears self.running."""
self.running = True
while self.running:
step()
self.update()
time.sleep(self.delay)
def step(self):
"""Advances all the threads in order"""
for thread in self.threads:
thread.step_loop()
def random_step(self):
"""Advances one random thread."""
threads = [thread for thread in self.threads if not thread.queued]
if not threads:
print('There are currently no threads that can run.')
return
thread = random.choice(threads)
thread.step_loop()
def stop(self):
"""Stops running."""
self.running = False
def read_file(self, filename):
"""Read a file that contains code for the simulator to execute.
Lines that start with ## do not appear
in the display.
A line that starts with "## thread" indicates the beginning of
a new column of code.
Returns a list of blocks where each block is a list of lines.
"""
def is_new_thread(line):
if line[0:2] != '##':
return False
words = line.strip('#').split()
word = words[0].lower()
return word == 'thread'
self.blocks = []
block = []
self.blocks.append(block)
fp = open(filename)
for line in fp:
line = line.rstrip()
if is_new_thread(line):
block = []
self.blocks.append(block)
else:
block.append(line)
fp.close()
def make_columns(self):
"""Adds the code in self.blocks to the GUI."""
if not self.blocks:
return
side = LEFT if self.options.initside else TOP
self.topcol = TopColumn(self, side=side)
self.topcol.add_rows(self.blocks[0])
self.colfr = self.fr()
self.cols = []
self.endfr()
for block in self.blocks[1:]:
col = self.add_col(0)
col.add_rows(block)
self.buttons()
def write_files(self, filename, dirname='book_code'):
"""Writes the code into separate files for the init and threads.
filename: name of the file we read
dirname: name of the destination subdirectory
Destination is a subdirectory of the directory the filename is in.
"""
path, filename = os.path.split(filename)
dest = os.path.join(path, dirname, filename)
block = self.blocks[0]
self.write_file(block, dest, 0)
for i, block in enumerate(self.blocks[1:]):
self.write_file(block, dest, i+1)
def write_file(self, block, filename, suffix=0):
trim_block(block)
name = '%s.%s' % (filename, str(suffix))
fp = open(name, 'w')
for line in block:
fp.write(line + '\n')
fp.close()
def add_col(self, n=5):
"""Adds a new column of code to the display."""
self.pushfr(self.colfr)
col = Column(self, LEFT, n)
self.cols.append(col)
self.popfr()
return col
def run_init(self):
"""Runs the initialization code in the top column."""
if not self.topcol.num_rows():
return
print('running init')
self.clear_views()
self.views = {}
thread = Thread(self.topcol, name='0')
while True:
thread.step()
if thread.row == None: break
self.unregister(thread)
def update_views(self):
"""Loops through the views and updates them."""
for key, view in self.views.items():
view.update(self.locals[key])
def clear_views(self):
"""Loops through the views and clears them."""
for key, view in self.views.items():
view.clear()
def qu(self, **options):
"""Makes a queue."""
return self.widget(QueueCanvas, **options)
def subtract(d1, d2):
"""Subtracts two dictionaries.
Returns a new dictionary containing all the keys from
d1 that are not in d2.
"""
d = {}
for key in d1:
if key not in d2:
d[key] = d1[key]
return d
def diff_dict(d1, d2):
"""Diffs two dictionaries.
Returns two dictionaries: the first contains all the keys
from d1 that are not in d2; the second contains all the keys
that are in both dictionaries, but which have different values.
"""
d = {}
c = {}
for key in d1:
if key not in d2:
d[key] = d1[key]
elif d1[key] is not d2[key]:
c[key] = d1[key]
return d, c
def trim_block(block):
"""Removes comments from the beginning and empty lines from the end."""
if block and block[0].startswith('#'):
block.pop(0)
while block and not block[-1].strip():
block.pop(-1)
"""
The following classes define the composite objects that make
up the display: Row, TopRow, Column and TopColumn. They are
all subclasses of Widget.
"""
class Widget:
"""Superclass of all display objects.
Each Widget keeps a reference to its immediate parent Widget (p)
and to the top-most thing (w).
"""
def __init__(self, p, *args, **options):
self.p = p
self.w = p.w
self.setup(*args, **options)
class Row(Widget):
"""A row of code.
Each row contains two queues, runnable and queued,
and an entry that contains a line of code.
"""
def setup(self, text=''):
self.tag = None
self.fr = self.w.row([0,0,1])
self.queued = self.w.qu(side=LEFT, n=3)
self.runnable = self.w.qu(side=LEFT, n=3, label='Run')
self.en = self.w.en(side=LEFT, font=font)
self.en.bind('<Key>', self.keystroke)
self.w.endrow()
self.put(text)
def update(self, val):
if self.tag: self.clear()
text = str(val)
self.tag = self.runnable.display_text(text)
def clear(self):
self.runnable.delete(self.tag)
def keystroke(self, event=None):
"resize the entry whenever the user types a character"
self.entry_size()
def entry_size(self):
"resize the entry"
text = self.get()
width = self.en.cget('width')
l = len(text) + 2
if l > width:
self.en.configure(width=l)
def add_thread(self, thread):
self.runnable.add_thread(thread)
def remove_thread(self, thread):
self.runnable.remove_thread(thread)
def enqueue_thread(self, thread):
self.queued.add_thread(thread)
def dequeue_thread(self, thread):
self.queued.remove_thread(thread)
def put(self, text):
self.en.delete(0, END)
self.en.insert(0, text)
self.entry_size()
def get(self):
return self.en.get()
class TopRow(Row):
"""Rows in the initialization code at the top.
The top row is special because there is no queue for
queued threads, and the "runnable" queue is actually used
to display the value of variables.
"""
def setup(self, text=''):
Row.setup(self, text)
self.queued.destroy()
self.runnable.delete('all')
class Column(Widget):
"""A list of rows and a few buttons."""
def setup(self, side=TOP, n=0, Row=Row):
self.fr = self.w.fr(side=side, bd=3)
self.Row = Row
self.rows = [self.Row(self) for i in range(n)]
self.buttons = self.w.row([1,1], side=BOTTOM)
self.bu1 = self.w.bu(text='Create thread',
command=self.create_thread)
self.bu2 = self.w.bu(text='Add row',
command=self.add_row)
self.w.endrow()
self.w.endfr()
def num_rows(self):
return len(self.rows)
def add_rows(self, block, keep_blanks=False):
for line in block:
if line or keep_blanks:
self.add_row(line)
def add_row(self, text=''):
self.w.pushfr(self.fr)
row = self.Row(self, text)
self.w.popfr()
self.rows.append(row)
def create_thread(self):
new = Thread(self)
return new
def next_row(self, row):
if row is None:
return self.rows[0]
index = self.rows.index(row)
try:
return self.rows[index+1]
except IndexError:
return None
class TopColumn(Column):
"""The top column where the initialization code is.
The top column is different from the other columns in
two ways: it has different buttons, and it uses the TopRow
constructor to make new rows rather than the Row constructor.
"""
def setup(self, side=TOP, n=0, Row=TopRow):
Column.setup(self, side, n, Row)
self.bu1.configure(text='Run initialization',
command=self.p.run_init)
class QueueCanvas(GuiCanvas):
"""Displays the runnable and queued threads."""
def __init__(self, w, n=1, label='Queue'):
self.n = n
self.label = label
width = 2 * n * FSU
height = 3 * FSU
GuiCanvas.__init__(self, w, width=width, height=height,
transforms=[])
self.threads = []
self.setup()
def setup(self):
self.text([3, 15], self.label, font=font, anchor=W, fill='white')
def add_thread(self, thread):
self.undraw_queue()
self.threads.append(thread)
self.draw_queue()
def remove_thread(self, thread):
self.undraw_queue()
self.threads.remove(thread)
self.draw_queue()
def draw_queue(self):
x = FSU
y = FSU
r = 0.9 * FSU
for thread in self.threads:
self.draw_thread(thread, x, y, r)
x += 1.5*r
if x > self.get_width():
x = FSU
y += 1.5*r
def undraw_queue(self):
for thread in self.threads:
self.delete(thread.tag)
def draw_thread(self, thread, x=FSU, y=FSU, r=0.9*FSU):
thread.tag = 'Thread' + thread.name
self.circle([x, y], r, fill=thread.color, tags=thread.tag)
font=('Courier', int(r+3))
self.text([x, y], thread.name, font=font, tags=thread.tag)
self.tag_bind(thread.tag, '<Button-1>', thread.step_loop)
def undraw_thread(self, thread):
self.delete(thread.tag)
def display_text(self, text):
tag = self.text([15, 15], text, font=font)
return tag
class Namer(object):
def __init__(self):
self.names = all_thread_names
self.next_name = 0
self.colors = ['red', 'orange', 'yellow', 'greenyellow',
'green', 'mediumseagreen', 'skyblue',
'violet', 'magenta']
self.next_color = 0
def next(self, name=None):
if name == None:
name = self.names[self.next_name]
self.next_name += 1
self.next_name %= len(self.names)
color = self.colors[self.next_color]
self.next_color += 1
self.next_color %= len(self.colors)
return name, color
else:
return name, 'white'
class Namespace:
"""Used to store thread-local variables.
Inside the simulator, self refers to the thread's namespace.
"""
class Thread:
"""Represents simulated threads."""
def __init__(self, column, name=None):
self.column = column
self.sync = column.p
self.name, self.color = self.sync.get_name(name)
self.namespace = Namespace()
self.flag_map = {}
self.while_stack = []
self.sync.register(self)
self.start()
def __str__(self):
return '<' + self.name + '>'
def enqueue(self):
"""Puts this thread into queue."""
self.queued = True
self.row.remove_thread(self)
self.row.enqueue_thread(self)
def dequeue(self):
"""Removes this thread from queue."""
self.queued = False
self.row.dequeue_thread(self)
self.row.add_thread(self)
def jump_to(self, row):
"""Removes this thread from its current row and moves it to row."""
if self.row:
self.row.remove_thread(self)
self.row = row
if self.row:
self.row.add_thread(self)
def balk(self):
self.row.remove_thread(self)
self.row = None
def start(self):
"""Moves this thread to the top of the column."""
self.queued = False
self.row = None
self.next_loop()
def next_loop(self):
"""Moves to the next row, looping to the top if necessary."""
self.next_row()
if self.row == None:
self.start()
def next_row(self):
"""Moves this thread to the next row in the column."""
if self.queued:
return
row = self.column.next_row(self.row)
self.jump_to(row)
def skip_body(self):
"""Skips the body of a conditional."""
# get the current line
# get the next line
# compute the change in indent
# find the outdent
source = self.row.get()
head_indent = self.count_spaces(source)
self.next_row()
source = self.row.get()
body_indent = self.count_spaces(source)
indent = body_indent - head_indent
if indent <= 0:
raise SyntaxError('Body of compound statement must be indented.')
while True:
self.next_row()
if self.row == None:
break
source = self.row.get()
line_indent = self.count_spaces(source)
if line_indent <= head_indent:
break
def count_spaces(self, source):
"""Returns the number of leading spaces after expanding tabs."""
s = source.expandtabs(4)
t = s.lstrip(' ')
return len(s) - len(t)
def step(self, event=None):
"""Executes the current line of code, then moves to the next row.
The current limitation of this simulator is that each row
has to contain a complete Python statement. Also, each line
of code is executed atomically.
Args:
event: unused, provided so that this method can be used
as a binding callback
Returns:
line of code that executed or None
"""
if self.queued:
return None
if self.row == None:
return None
self.check_end_while()
source = self.row.get()
print(self, source)
before = copy.copy(self.sync.locals)
flag = self.exec_line(source, self.sync)
# see if any variables were defined or changed
after = self.sync.locals
defined, changed = diff_dict(after, before)
for key in defined:
self.sync.views[key] = self.row
if defined or changed:
self.sync.update_views()
# either skip to the next line or to the end of a false conditional
if flag:
self.next_row()
else:
self.skip_body()
return source
def exec_line(self, source, sync):
"""Runs a line of source code in the context of the given Sync.
Args:
source: source code from a Row
sync: Sync object
Returns:
if the line is an if statement, returns the result of
evaluating the condition
"""
global current_thread
current_thread = self
sync.globals['self'] = self.namespace
try:
s = source.strip()
code = compile(s, '<user-provided code>', 'exec')
exec(code, sync.globals, sync.locals)
return True
except SyntaxError as error:
# check whether it's a conditional statement
keyword = s.split()[0]
if keyword in ['if', 'else:', 'while']:
flag = self.handle_conditional(keyword, source, sync)
return flag
else:
raise error
def handle_conditional(self, keyword, source, sync):
"""Evaluates the condition part of an if statement.
Args:
keyword: if, else or while
source: source code from a Row
sync: Sync object
Returns:
if the line is an if statement, returns the result of
evaluating the condition; otherwise raises a SyntaxError
"""
s = source.strip()
if not s.endswith(':'):
raise SyntaxError('Header must end with :')
if keyword in ['if']:
# evaluate the condition
n = len(keyword)
condition = s[n:-1].strip()
flag = eval(condition, sync.globals, sync.locals)
# store the flag
indent = self.count_spaces(source)
self.flag_map[indent] = flag
return flag
elif keyword in ['while']:
# evaluate the condition
n = len(keyword)
condition = s[n:-1].strip()
flag = eval(condition, sync.globals, sync.locals)
if flag:
indent = self.count_spaces(source)
self.while_stack.append((indent, self.row))
return flag
else:
assert keyword == 'else:'
# see whether the condition was true
indent = self.count_spaces(source)
try:
flag = self.flag_map[indent]
return not flag
except KeyError:
raise SyntaxError('else does not match if')
def check_end_while(self):
"""Check if we are at the end of a while loop.
If so, jump to the top.
"""
if not self.while_stack:
return
indent, row = self.while_stack[-1]
source = self.row.get()
if self.count_spaces(source) <= indent:
self.while_stack.pop()
self.jump_to(row)
def step_loop(self, event=None):
self.step()
if self.row == None:
self.start()
def run(self):
while True:
self.step()
if self.row == None: break
def main():
sync = Sync(sys.argv[1:])
sync.mainloop()
if __name__ == '__main__':
main()
|
gpl-3.0
|
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mavit/ansible
|
lib/ansible/modules/cloud/google/gce_lb.py
|
50
|
11807
|
#!/usr/bin/python
# Copyright 2013 Google Inc.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'}
DOCUMENTATION = '''
---
module: gce_lb
version_added: "1.5"
short_description: create/destroy GCE load-balancer resources
description:
- This module can create and destroy Google Compute Engine C(loadbalancer)
and C(httphealthcheck) resources. The primary LB resource is the
C(load_balancer) resource and the health check parameters are all
prefixed with I(httphealthcheck).
The full documentation for Google Compute Engine load balancing is at
U(https://developers.google.com/compute/docs/load-balancing/). However,
the ansible module simplifies the configuration by following the
libcloud model.
Full install/configuration instructions for the gce* modules can
be found in the comments of ansible/test/gce_tests.py.
options:
httphealthcheck_name:
description:
- the name identifier for the HTTP health check
httphealthcheck_port:
description:
- the TCP port to use for HTTP health checking
default: 80
httphealthcheck_path:
description:
- the url path to use for HTTP health checking
default: "/"
httphealthcheck_interval:
description:
- the duration in seconds between each health check request
default: 5
httphealthcheck_timeout:
description:
- the timeout in seconds before a request is considered a failed check
default: 5
httphealthcheck_unhealthy_count:
description:
- number of consecutive failed checks before marking a node unhealthy
default: 2
httphealthcheck_healthy_count:
description:
- number of consecutive successful checks before marking a node healthy
default: 2
httphealthcheck_host:
description:
- host header to pass through on HTTP check requests
name:
description:
- name of the load-balancer resource
protocol:
description:
- the protocol used for the load-balancer packet forwarding, tcp or udp
default: "tcp"
choices: ['tcp', 'udp']
region:
description:
- the GCE region where the load-balancer is defined
external_ip:
description:
- the external static IPv4 (or auto-assigned) address for the LB
port_range:
description:
- the port (range) to forward, e.g. 80 or 8000-8888 defaults to all ports
members:
description:
- a list of zone/nodename pairs, e.g ['us-central1-a/www-a', ...]
aliases: ['nodes']
state:
description:
- desired state of the LB
default: "present"
choices: ["active", "present", "absent", "deleted"]
service_account_email:
version_added: "1.6"
description:
- service account email
pem_file:
version_added: "1.6"
description:
- path to the pem file associated with the service account email
This option is deprecated. Use 'credentials_file'.
credentials_file:
version_added: "2.1.0"
description:
- path to the JSON file associated with the service account email
project_id:
version_added: "1.6"
description:
- your GCE project ID
requirements:
- "python >= 2.6"
- "apache-libcloud >= 0.13.3, >= 0.17.0 if using JSON credentials"
author: "Eric Johnson (@erjohnso) <erjohnso@google.com>"
'''
EXAMPLES = '''
# Simple example of creating a new LB, adding members, and a health check
- local_action:
module: gce_lb
name: testlb
region: us-central1
members: ["us-central1-a/www-a", "us-central1-b/www-b"]
httphealthcheck_name: hc
httphealthcheck_port: 80
httphealthcheck_path: "/up"
'''
try:
from libcloud.compute.types import Provider
from libcloud.compute.providers import get_driver
from libcloud.loadbalancer.types import Provider as Provider_lb
from libcloud.loadbalancer.providers import get_driver as get_driver_lb
from libcloud.common.google import GoogleBaseError, QuotaExceededError, ResourceExistsError, ResourceNotFoundError
_ = Provider.GCE
HAS_LIBCLOUD = True
except ImportError:
HAS_LIBCLOUD = False
from ansible.module_utils.basic import AnsibleModule
from ansible.module_utils.gce import USER_AGENT_PRODUCT, USER_AGENT_VERSION, gce_connect, unexpected_error_msg
def main():
module = AnsibleModule(
argument_spec=dict(
httphealthcheck_name=dict(),
httphealthcheck_port=dict(default=80),
httphealthcheck_path=dict(default='/'),
httphealthcheck_interval=dict(default=5),
httphealthcheck_timeout=dict(default=5),
httphealthcheck_unhealthy_count=dict(default=2),
httphealthcheck_healthy_count=dict(default=2),
httphealthcheck_host=dict(),
name=dict(),
protocol=dict(default='tcp'),
region=dict(),
external_ip=dict(),
port_range=dict(),
members=dict(type='list'),
state=dict(default='present'),
service_account_email=dict(),
pem_file=dict(type='path'),
credentials_file=dict(type='path'),
project_id=dict(),
)
)
if not HAS_LIBCLOUD:
module.fail_json(msg='libcloud with GCE support (0.13.3+) required for this module.')
gce = gce_connect(module)
httphealthcheck_name = module.params.get('httphealthcheck_name')
httphealthcheck_port = module.params.get('httphealthcheck_port')
httphealthcheck_path = module.params.get('httphealthcheck_path')
httphealthcheck_interval = module.params.get('httphealthcheck_interval')
httphealthcheck_timeout = module.params.get('httphealthcheck_timeout')
httphealthcheck_unhealthy_count = module.params.get('httphealthcheck_unhealthy_count')
httphealthcheck_healthy_count = module.params.get('httphealthcheck_healthy_count')
httphealthcheck_host = module.params.get('httphealthcheck_host')
name = module.params.get('name')
protocol = module.params.get('protocol')
region = module.params.get('region')
external_ip = module.params.get('external_ip')
port_range = module.params.get('port_range')
members = module.params.get('members')
state = module.params.get('state')
try:
gcelb = get_driver_lb(Provider_lb.GCE)(gce_driver=gce)
gcelb.connection.user_agent_append("%s/%s" % (
USER_AGENT_PRODUCT, USER_AGENT_VERSION))
except Exception as e:
module.fail_json(msg=unexpected_error_msg(e), changed=False)
changed = False
json_output = {'name': name, 'state': state}
if not name and not httphealthcheck_name:
module.fail_json(msg='Nothing to do, please specify a "name" ' + 'or "httphealthcheck_name" parameter', changed=False)
if state in ['active', 'present']:
# first, create the httphealthcheck if requested
hc = None
if httphealthcheck_name:
json_output['httphealthcheck_name'] = httphealthcheck_name
try:
hc = gcelb.ex_create_healthcheck(httphealthcheck_name,
host=httphealthcheck_host, path=httphealthcheck_path,
port=httphealthcheck_port,
interval=httphealthcheck_interval,
timeout=httphealthcheck_timeout,
unhealthy_threshold=httphealthcheck_unhealthy_count,
healthy_threshold=httphealthcheck_healthy_count)
changed = True
except ResourceExistsError:
hc = gce.ex_get_healthcheck(httphealthcheck_name)
except Exception as e:
module.fail_json(msg=unexpected_error_msg(e), changed=False)
if hc is not None:
json_output['httphealthcheck_host'] = hc.extra['host']
json_output['httphealthcheck_path'] = hc.path
json_output['httphealthcheck_port'] = hc.port
json_output['httphealthcheck_interval'] = hc.interval
json_output['httphealthcheck_timeout'] = hc.timeout
json_output['httphealthcheck_unhealthy_count'] = hc.unhealthy_threshold
json_output['httphealthcheck_healthy_count'] = hc.healthy_threshold
# create the forwarding rule (and target pool under the hood)
lb = None
if name:
if not region:
module.fail_json(msg='Missing required region name',
changed=False)
nodes = []
output_nodes = []
json_output['name'] = name
# members is a python list of 'zone/inst' strings
if members:
for node in members:
try:
zone, node_name = node.split('/')
nodes.append(gce.ex_get_node(node_name, zone))
output_nodes.append(node)
except:
# skip nodes that are badly formatted or don't exist
pass
try:
if hc is not None:
lb = gcelb.create_balancer(name, port_range, protocol,
None, nodes, ex_region=region, ex_healthchecks=[hc],
ex_address=external_ip)
else:
lb = gcelb.create_balancer(name, port_range, protocol,
None, nodes, ex_region=region, ex_address=external_ip)
changed = True
except ResourceExistsError:
lb = gcelb.get_balancer(name)
except Exception as e:
module.fail_json(msg=unexpected_error_msg(e), changed=False)
if lb is not None:
json_output['members'] = output_nodes
json_output['protocol'] = protocol
json_output['region'] = region
json_output['external_ip'] = lb.ip
json_output['port_range'] = lb.port
hc_names = []
if 'healthchecks' in lb.extra:
for hc in lb.extra['healthchecks']:
hc_names.append(hc.name)
json_output['httphealthchecks'] = hc_names
if state in ['absent', 'deleted']:
# first, delete the load balancer (forwarding rule and target pool)
# if specified.
if name:
json_output['name'] = name
try:
lb = gcelb.get_balancer(name)
gcelb.destroy_balancer(lb)
changed = True
except ResourceNotFoundError:
pass
except Exception as e:
module.fail_json(msg=unexpected_error_msg(e), changed=False)
# destroy the health check if specified
if httphealthcheck_name:
json_output['httphealthcheck_name'] = httphealthcheck_name
try:
hc = gce.ex_get_healthcheck(httphealthcheck_name)
gce.ex_destroy_healthcheck(hc)
changed = True
except ResourceNotFoundError:
pass
except Exception as e:
module.fail_json(msg=unexpected_error_msg(e), changed=False)
json_output['changed'] = changed
module.exit_json(**json_output)
if __name__ == '__main__':
main()
|
gpl-3.0
|
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] |
coxmediagroup/django-threadedcomments
|
legacy_threadedcomments/templatetags/threadedcommentstags.py
|
14
|
18507
|
import re
from django import template
from django.contrib.contenttypes.models import ContentType
from django.core.urlresolvers import reverse
from django.utils.encoding import force_unicode
from django.utils.safestring import mark_safe
from threadedcomments.models import ThreadedComment, FreeThreadedComment
from threadedcomments.forms import ThreadedCommentForm, FreeThreadedCommentForm
# Regular expressions for getting rid of newlines and witespace
inbetween = re.compile('>[ \r\n]+<')
newlines = re.compile('\r|\n')
def get_contenttype_kwargs(content_object):
"""
Gets the basic kwargs necessary for almost all of the following tags.
"""
kwargs = {
'content_type' : ContentType.objects.get_for_model(content_object).id,
'object_id' : getattr(content_object, 'pk', getattr(content_object, 'id')),
}
return kwargs
def get_comment_url(content_object, parent=None):
"""
Given an object and an optional parent, this tag gets the URL to POST to for the
creation of new ``ThreadedComment`` objects.
"""
kwargs = get_contenttype_kwargs(content_object)
if parent:
if not isinstance(parent, ThreadedComment):
raise template.TemplateSyntaxError, "get_comment_url requires its parent object to be of type ThreadedComment"
kwargs.update({'parent_id' : getattr(parent, 'pk', getattr(parent, 'id'))})
return reverse('tc_comment_parent', kwargs=kwargs)
else:
return reverse('tc_comment', kwargs=kwargs)
def get_comment_url_ajax(content_object, parent=None, ajax_type='json'):
"""
Given an object and an optional parent, this tag gets the URL to POST to for the
creation of new ``ThreadedComment`` objects. It returns the latest created object
in the AJAX form of the user's choosing (json or xml).
"""
kwargs = get_contenttype_kwargs(content_object)
kwargs.update({'ajax' : ajax_type})
if parent:
if not isinstance(parent, ThreadedComment):
raise template.TemplateSyntaxError, "get_comment_url_ajax requires its parent object to be of type ThreadedComment"
kwargs.update({'parent_id' : getattr(parent, 'pk', getattr(parent, 'id'))})
return reverse('tc_comment_parent_ajax', kwargs=kwargs)
else:
return reverse('tc_comment_ajax', kwargs=kwargs)
def get_comment_url_json(content_object, parent=None):
"""
Wraps ``get_comment_url_ajax`` with ``ajax_type='json'``
"""
try:
return get_comment_url_ajax(content_object, parent, ajax_type="json")
except template.TemplateSyntaxError:
raise template.TemplateSyntaxError, "get_comment_url_json requires its parent object to be of type ThreadedComment"
return ''
def get_comment_url_xml(content_object, parent=None):
"""
Wraps ``get_comment_url_ajax`` with ``ajax_type='xml'``
"""
try:
return get_comment_url_ajax(content_object, parent, ajax_type="xml")
except template.TemplateSyntaxError:
raise template.TemplateSyntaxError, "get_comment_url_xml requires its parent object to be of type ThreadedComment"
return ''
def get_free_comment_url(content_object, parent=None):
"""
Given an object and an optional parent, this tag gets the URL to POST to for the
creation of new ``FreeThreadedComment`` objects.
"""
kwargs = get_contenttype_kwargs(content_object)
if parent:
if not isinstance(parent, FreeThreadedComment):
raise template.TemplateSyntaxError, "get_free_comment_url requires its parent object to be of type FreeThreadedComment"
kwargs.update({'parent_id' : getattr(parent, 'pk', getattr(parent, 'id'))})
return reverse('tc_free_comment_parent', kwargs=kwargs)
else:
return reverse('tc_free_comment', kwargs=kwargs)
def get_free_comment_url_ajax(content_object, parent=None, ajax_type='json'):
"""
Given an object and an optional parent, this tag gets the URL to POST to for the
creation of new ``FreeThreadedComment`` objects. It returns the latest created object
in the AJAX form of the user's choosing (json or xml).
"""
kwargs = get_contenttype_kwargs(content_object)
kwargs.update({'ajax' : ajax_type})
if parent:
if not isinstance(parent, FreeThreadedComment):
raise template.TemplateSyntaxError, "get_free_comment_url_ajax requires its parent object to be of type FreeThreadedComment"
kwargs.update({'parent_id' : getattr(parent, 'pk', getattr(parent, 'id'))})
return reverse('tc_free_comment_parent_ajax', kwargs=kwargs)
else:
return reverse('tc_free_comment_ajax', kwargs=kwargs)
def get_free_comment_url_json(content_object, parent=None):
"""
Wraps ``get_free_comment_url_ajax`` with ``ajax_type='json'``
"""
try:
return get_free_comment_url_ajax(content_object, parent, ajax_type="json")
except template.TemplateSyntaxError:
raise template.TemplateSyntaxError, "get_free_comment_url_json requires its parent object to be of type FreeThreadedComment"
return ''
def get_free_comment_url_xml(content_object, parent=None):
"""
Wraps ``get_free_comment_url_ajax`` with ``ajax_type='xml'``
"""
try:
return get_free_comment_url_ajax(content_object, parent, ajax_type="xml")
except template.TemplateSyntaxError:
raise template.TemplateSyntaxError, "get_free_comment_url_xml requires its parent object to be of type FreeThreadedComment"
return ''
def auto_transform_markup(comment):
"""
Given a comment (``ThreadedComment`` or ``FreeThreadedComment``), this tag
looks up the markup type of the comment and formats the output accordingly.
It can also output the formatted content to a context variable, if a context name is
specified.
"""
try:
from django.utils.html import escape
from threadedcomments.models import MARKDOWN, TEXTILE, REST, PLAINTEXT
if comment.markup == MARKDOWN:
from django.contrib.markup.templatetags.markup import markdown
return markdown(comment.comment)
elif comment.markup == TEXTILE:
from django.contrib.markup.templatetags.markup import textile
return textile(comment.comment)
elif comment.markup == REST:
from django.contrib.markup.templatetags.markup import restructuredtext
return restructuredtext(comment.comment)
# elif comment.markup == HTML:
# return mark_safe(force_unicode(comment.comment))
elif comment.markup == PLAINTEXT:
return escape(comment.comment)
except ImportError:
# Not marking safe, in case tag fails and users input malicious code.
return force_unicode(comment.comment)
def do_auto_transform_markup(parser, token):
try:
split = token.split_contents()
except ValueError:
raise template.TemplateSyntaxError, "%r tag must be of format {%% %r COMMENT %%} or of format {%% %r COMMENT as CONTEXT_VARIABLE %%}" % (token.contents.split()[0], token.contents.split()[0], token.contents.split()[0])
if len(split) == 2:
return AutoTransformMarkupNode(split[1])
elif len(split) == 4:
return AutoTransformMarkupNode(split[1], context_name=split[3])
else:
raise template.TemplateSyntaxError, "Invalid number of arguments for tag %r" % split[0]
class AutoTransformMarkupNode(template.Node):
def __init__(self, comment, context_name=None):
self.comment = template.Variable(comment)
self.context_name = context_name
def render(self, context):
comment = self.comment.resolve(context)
if self.context_name:
context[self.context_name] = auto_transform_markup(comment)
return ''
else:
return auto_transform_markup(comment)
def do_get_threaded_comment_tree(parser, token):
"""
Gets a tree (list of objects ordered by preorder tree traversal, and with an
additional ``depth`` integer attribute annotated onto each ``ThreadedComment``.
"""
error_string = "%r tag must be of format {%% get_threaded_comment_tree for OBJECT [TREE_ROOT] as CONTEXT_VARIABLE %%}" % token.contents.split()[0]
try:
split = token.split_contents()
except ValueError:
raise template.TemplateSyntaxError(error_string)
if len(split) == 5:
return CommentTreeNode(split[2], split[4], split[3])
elif len(split) == 6:
return CommentTreeNode(split[2], split[5], split[3])
else:
raise template.TemplateSyntaxError(error_string)
def do_get_free_threaded_comment_tree(parser, token):
"""
Gets a tree (list of objects ordered by traversing tree in preorder, and with an
additional ``depth`` integer attribute annotated onto each ``FreeThreadedComment.``
"""
error_string = "%r tag must be of format {%% get_free_threaded_comment_tree for OBJECT [TREE_ROOT] as CONTEXT_VARIABLE %%}" % token.contents.split()[0]
try:
split = token.split_contents()
except ValueError:
raise template.TemplateSyntaxError(error_string)
if len(split) == 5:
return FreeCommentTreeNode(split[2], split[4], split[3])
elif len(split) == 6:
return FreeCommentTreeNode(split[2], split[5], split[3])
else:
raise template.TemplateSyntaxError(error_string)
class CommentTreeNode(template.Node):
def __init__(self, content_object, context_name, tree_root):
self.content_object = template.Variable(content_object)
self.tree_root = template.Variable(tree_root)
self.tree_root_str = tree_root
self.context_name = context_name
def render(self, context):
content_object = self.content_object.resolve(context)
try:
tree_root = self.tree_root.resolve(context)
except template.VariableDoesNotExist:
if self.tree_root_str == 'as':
tree_root = None
else:
try:
tree_root = int(self.tree_root_str)
except ValueError:
tree_root = self.tree_root_str
context[self.context_name] = ThreadedComment.public.get_tree(content_object, root=tree_root)
return ''
class FreeCommentTreeNode(template.Node):
def __init__(self, content_object, context_name, tree_root):
self.content_object = template.Variable(content_object)
self.tree_root = template.Variable(tree_root)
self.tree_root_str = tree_root
self.context_name = context_name
def render(self, context):
content_object = self.content_object.resolve(context)
try:
tree_root = self.tree_root.resolve(context)
except template.VariableDoesNotExist:
if self.tree_root_str == 'as':
tree_root = None
else:
try:
tree_root = int(self.tree_root_str)
except ValueError:
tree_root = self.tree_root_str
context[self.context_name] = FreeThreadedComment.public.get_tree(content_object, root=tree_root)
return ''
def do_get_comment_count(parser, token):
"""
Gets a count of how many ThreadedComment objects are attached to the given
object.
"""
error_message = "%r tag must be of format {%% %r for OBJECT as CONTEXT_VARIABLE %%}" % (token.contents.split()[0], token.contents.split()[0])
try:
split = token.split_contents()
except ValueError:
raise template.TemplateSyntaxError, error_message
if split[1] != 'for' or split[3] != 'as':
raise template.TemplateSyntaxError, error_message
return ThreadedCommentCountNode(split[2], split[4])
class ThreadedCommentCountNode(template.Node):
def __init__(self, content_object, context_name):
self.content_object = template.Variable(content_object)
self.context_name = context_name
def render(self, context):
content_object = self.content_object.resolve(context)
context[self.context_name] = ThreadedComment.public.all_for_object(content_object).count()
return ''
def do_get_free_comment_count(parser, token):
"""
Gets a count of how many FreeThreadedComment objects are attached to the
given object.
"""
error_message = "%r tag must be of format {%% %r for OBJECT as CONTEXT_VARIABLE %%}" % (token.contents.split()[0], token.contents.split()[0])
try:
split = token.split_contents()
except ValueError:
raise template.TemplateSyntaxError, error_message
if split[1] != 'for' or split[3] != 'as':
raise template.TemplateSyntaxError, error_message
return FreeThreadedCommentCountNode(split[2], split[4])
class FreeThreadedCommentCountNode(template.Node):
def __init__(self, content_object, context_name):
self.content_object = template.Variable(content_object)
self.context_name = context_name
def render(self, context):
content_object = self.content_object.resolve(context)
context[self.context_name] = FreeThreadedComment.public.all_for_object(content_object).count()
return ''
def oneline(value):
"""
Takes some HTML and gets rid of newlines and spaces between tags, rendering
the result all on one line.
"""
try:
return mark_safe(newlines.sub('', inbetween.sub('><', value)))
except:
return value
def do_get_threaded_comment_form(parser, token):
"""
Gets a FreeThreadedCommentForm and inserts it into the context.
"""
error_message = "%r tag must be of format {%% %r as CONTEXT_VARIABLE %%}" % (token.contents.split()[0], token.contents.split()[0])
try:
split = token.split_contents()
except ValueError:
raise template.TemplateSyntaxError, error_message
if split[1] != 'as':
raise template.TemplateSyntaxError, error_message
if len(split) != 3:
raise template.TemplateSyntaxError, error_message
if "free" in split[0]:
is_free = True
else:
is_free = False
return ThreadedCommentFormNode(split[2], free=is_free)
class ThreadedCommentFormNode(template.Node):
def __init__(self, context_name, free=False):
self.context_name = context_name
self.free = free
def render(self, context):
if self.free:
form = FreeThreadedCommentForm()
else:
form = ThreadedCommentForm()
context[self.context_name] = form
return ''
def do_get_latest_comments(parser, token):
"""
Gets the latest comments by date_submitted.
"""
error_message = "%r tag must be of format {%% %r NUM_TO_GET as CONTEXT_VARIABLE %%}" % (token.contents.split()[0], token.contents.split()[0])
try:
split = token.split_contents()
except ValueError:
raise template.TemplateSyntaxError, error_message
if len(split) != 4:
raise template.TemplateSyntaxError, error_message
if split[2] != 'as':
raise template.TemplateSyntaxError, error_message
if "free" in split[0]:
is_free = True
else:
is_free = False
return LatestCommentsNode(split[1], split[3], free=is_free)
class LatestCommentsNode(template.Node):
def __init__(self, num, context_name, free=False):
self.num = num
self.context_name = context_name
self.free = free
def render(self, context):
if self.free:
comments = FreeThreadedComment.objects.order_by('-date_submitted')[:self.num]
else:
comments = ThreadedComment.objects.order_by('-date_submitted')[:self.num]
context[self.context_name] = comments
return ''
def do_get_user_comments(parser, token):
"""
Gets all comments submitted by a particular user.
"""
error_message = "%r tag must be of format {%% %r for OBJECT as CONTEXT_VARIABLE %%}" % (token.contents.split()[0], token.contents.split()[0])
try:
split = token.split_contents()
except ValueError:
raise template.TemplateSyntaxError, error_message
if len(split) != 5:
raise template.TemplateSyntaxError, error_message
return UserCommentsNode(split[2], split[4])
class UserCommentsNode(template.Node):
def __init__(self, user, context_name):
self.user = template.Variable(user)
self.context_name = context_name
def render(self, context):
user = self.user.resolve(context)
context[self.context_name] = user.threadedcomment_set.all()
return ''
def do_get_user_comment_count(parser, token):
"""
Gets the count of all comments submitted by a particular user.
"""
error_message = "%r tag must be of format {%% %r for OBJECT as CONTEXT_VARIABLE %%}" % (token.contents.split()[0], token.contents.split()[0])
try:
split = token.split_contents()
except ValueError:
raise template.TemplateSyntaxError, error_message
if len(split) != 5:
raise template.TemplateSyntaxError, error_message
return UserCommentCountNode(split[2], split[4])
class UserCommentCountNode(template.Node):
def __init__(self, user, context_name):
self.user = template.Variable(user)
self.context_name = context_name
def render(self, context):
user = self.user.resolve(context)
context[self.context_name] = user.threadedcomment_set.all().count()
return ''
register = template.Library()
register.simple_tag(get_comment_url)
register.simple_tag(get_comment_url_json)
register.simple_tag(get_comment_url_xml)
register.simple_tag(get_free_comment_url)
register.simple_tag(get_free_comment_url_json)
register.simple_tag(get_free_comment_url_xml)
register.filter('oneline', oneline)
register.tag('auto_transform_markup', do_auto_transform_markup)
register.tag('get_threaded_comment_tree', do_get_threaded_comment_tree)
register.tag('get_free_threaded_comment_tree', do_get_free_threaded_comment_tree)
register.tag('get_comment_count', do_get_comment_count)
register.tag('get_free_comment_count', do_get_free_comment_count)
register.tag('get_free_threaded_comment_form', do_get_threaded_comment_form)
register.tag('get_threaded_comment_form', do_get_threaded_comment_form)
register.tag('get_latest_comments', do_get_latest_comments)
register.tag('get_latest_free_comments', do_get_latest_comments)
register.tag('get_user_comments', do_get_user_comments)
register.tag('get_user_comment_count', do_get_user_comment_count)
|
bsd-3-clause
|
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] |
rysson/filmkodi
|
plugin.video.mrknow/mylib/xbmcplugin.py
|
4
|
7203
|
# coding: utf-8
"""
Functions for Kodi plugins
"""
SORT_METHOD_ALBUM = 13
SORT_METHOD_ALBUM_IGNORE_THE = 14
SORT_METHOD_ARTIST = 11
SORT_METHOD_ARTIST_IGNORE_THE = 12
SORT_METHOD_BITRATE = 40
SORT_METHOD_CHANNEL = 38
SORT_METHOD_COUNTRY = 16
SORT_METHOD_DATE = 3
SORT_METHOD_DATEADDED = 19
SORT_METHOD_DATE_TAKEN = 41
SORT_METHOD_DRIVE_TYPE = 6
SORT_METHOD_DURATION = 8
SORT_METHOD_EPISODE = 22
SORT_METHOD_FILE = 5
SORT_METHOD_FULLPATH = 32
SORT_METHOD_GENRE = 15
SORT_METHOD_LABEL = 1
SORT_METHOD_LABEL_IGNORE_FOLDERS = 33
SORT_METHOD_LABEL_IGNORE_THE = 2
SORT_METHOD_LASTPLAYED = 34
SORT_METHOD_LISTENERS = 36
SORT_METHOD_MPAA_RATING = 28
SORT_METHOD_NONE = 0
SORT_METHOD_PLAYCOUNT = 35
SORT_METHOD_PLAYLIST_ORDER = 21
SORT_METHOD_PRODUCTIONCODE = 26
SORT_METHOD_PROGRAM_COUNT = 20
SORT_METHOD_SIZE = 4
SORT_METHOD_SONG_RATING = 27
SORT_METHOD_STUDIO = 30
SORT_METHOD_STUDIO_IGNORE_THE = 31
SORT_METHOD_TITLE = 9
SORT_METHOD_TITLE_IGNORE_THE = 10
SORT_METHOD_TRACKNUM = 7
SORT_METHOD_UNSORTED = 37
SORT_METHOD_VIDEO_RATING = 18
SORT_METHOD_VIDEO_RUNTIME = 29
SORT_METHOD_VIDEO_SORT_TITLE = 24
SORT_METHOD_VIDEO_SORT_TITLE_IGNORE_THE = 25
SORT_METHOD_VIDEO_TITLE = 23
SORT_METHOD_VIDEO_YEAR = 17
__author__ = 'Team Kodi <http://kodi.tv>'
__credits__ = 'Team Kodi'
__date__ = 'Fri May 01 16:22:19 BST 2015'
__platform__ = 'ALL'
__version__ = '2.20.0'
def addDirectoryItem(handle, url, listitem, isFolder=False, totalItems=0):
"""Callback function to pass directory contents back to XBMC.
Returns a bool for successful completion.
:param handle: integer - handle the plugin was started with.
:param url: string - url of the entry. would be plugin:// for another virtual directory.
:param listitem: ListItem - item to add.
:param isFolder: bool - True=folder / False=not a folder.
:param totalItems: integer - total number of items that will be passed. (used for progressbar)
Example::
if not xbmcplugin.addDirectoryItem(int(sys.argv[1]), 'F:\\Trailers\\300.mov', listitem, totalItems=50):
break
"""
return bool(1)
def addDirectoryItems(handle, items, totalItems=0):
"""Callback function to pass directory contents back to XBMC as a list.
Returns a bool for successful completion.
:param handle: integer - handle the plugin was started with.
:param items: List - list of (url, listitem[, isFolder]) as a tuple to add.
:param totalItems: integer - total number of items that will be passed. (used for progressbar)
.. note::
Large lists benefit over using the standard addDirectoryItem().
You may call this more than once to add items in chunks.
Example::
if not xbmcplugin.addDirectoryItems(int(sys.argv[1]), [(url, listitem, False,)]:
raise
"""
return bool(1)
def endOfDirectory(handle, succeeded=True, updateListing=False, cacheToDisc=True):
"""Callback function to tell XBMC that the end of the directory listing in a virtualPythonFolder module is reached.
:param handle: integer - handle the plugin was started with.
:param succeeded: bool - True=script completed successfully/False=Script did not.
:param updateListing: bool - True=this folder should update the current listing/False=Folder is a subfolder.
:param cacheToDisc: bool - True=Folder will cache if extended time/False=this folder will never cache to disc.
Example::
xbmcplugin.endOfDirectory(int(sys.argv[1]), cacheToDisc=False)
"""
pass
def setResolvedUrl(handle, succeeded, listitem):
"""Callback function to tell XBMC that the file plugin has been resolved to a url
:param handle: integer - handle the plugin was started with.
:param succeeded: bool - True=script completed successfully/False=Script did not.
:param listitem: ListItem - item the file plugin resolved to for playback.
Example::
xbmcplugin.setResolvedUrl(int(sys.argv[1]), True, listitem)
"""
pass
def addSortMethod(handle, sortMethod, label2Mask=''):
"""Adds a sorting method for the media list.
:param handle: integer - handle the plugin was started with.
:param sortMethod: integer - number for sortmethod see FileItem.h.
:param label2Mask: string - the label mask to use for the second label. Defaults to '%D'
applies to: ``SORT_METHOD_NONE``, ``SORT_METHOD_UNSORTED``, ``SORT_METHOD_VIDEO_TITLE``,
``SORT_METHOD_TRACKNUM``, ``SORT_METHOD_FILE``, ``SORT_METHOD_TITLE``,
``SORT_METHOD_TITLE_IGNORE_THE``, ``SORT_METHOD_LABEL``,
``SORT_METHOD_LABEL_IGNORE_THE``
Example::
xbmcplugin.addSortMethod(int(sys.argv[1]), xbmcplugin.SORT_METHOD_TITLE)
"""
pass
def getSetting(handle, id):
"""Returns the value of a setting as a string.
:param handle: integer - handle the plugin was started with.
:param id: string - id of the setting that the module needs to access.
Example::
apikey = xbmcplugin.getSetting(int(sys.argv[1]), 'apikey')
"""
return str()
def setSetting(handle, id, value):
"""Sets a plugin setting for the current running plugin.
:param handle: integer - handle the plugin was started with.
:param id: string - id of the setting that the module needs to access.
:param value: string or unicode - value of the setting.
Example::
xbmcplugin.setSetting(int(sys.argv[1]), id='username', value='teamxbmc')
"""
pass
def setContent(handle, content):
"""Sets the plugins content.
:param handle: integer - handle the plugin was started with.
:param content: string - content type (eg. movies).
.. note::
Possible values for content: files, songs, artists, albums, movies, tvshows, episodes, musicvideos
Example::
xbmcplugin.setContent(int(sys.argv[1]), 'movies')
"""
pass
def setPluginCategory(handle, category):
"""Sets the plugins name for skins to display.
:param handle: integer - handle the plugin was started with.
:param category: string or unicode - plugins sub category.
Example::
xbmcplugin.setPluginCategory(int(sys.argv[1]), 'Comedy')
"""
pass
def setPluginFanart(handle, image=None, color1=None, color2=None, color3=None):
"""Sets the plugins fanart and color for skins to display.
:param handle: integer - handle the plugin was started with.
:param image: string - path to fanart image.
:param color1: hexstring - color1. (e.g. '0xFFFFFFFF')
:param color2: hexstring - color2. (e.g. '0xFFFF3300')
:param color3: hexstring - color3. (e.g. '0xFF000000')
Example::
xbmcplugin.setPluginFanart(int(sys.argv[1]),
'special://home/addons/plugins/video/Apple movie trailers II/fanart.png', color2='0xFFFF3300')
"""
pass
def setProperty(handle, key, value):
"""Sets a container property for this plugin.
:param handle: integer - handle the plugin was started with.
:param key: string - property name.
:param value: string or unicode - value of property.
.. note::
Key is NOT case sensitive.
Example::
xbmcplugin.setProperty(int(sys.argv[1]), 'Emulator', 'M.A.M.E.')
"""
pass
|
apache-2.0
|
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breznak/nupic
|
examples/opf/experiments/multistep/hotgym_best_tp_16K/description.py
|
32
|
2789
|
# ----------------------------------------------------------------------
# Numenta Platform for Intelligent Computing (NuPIC)
# Copyright (C) 2013, Numenta, Inc. Unless you have an agreement
# with Numenta, Inc., for a separate license for this software code, the
# following terms and conditions apply:
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero Public License version 3 as
# published by the Free Software Foundation.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
# See the GNU Affero Public License for more details.
#
# You should have received a copy of the GNU Affero Public License
# along with this program. If not, see http://www.gnu.org/licenses.
#
# http://numenta.org/licenses/
# ----------------------------------------------------------------------
## This file defines parameters for a prediction experiment.
import os
from nupic.frameworks.opf.expdescriptionhelpers import importBaseDescription
# the sub-experiment configuration
config = \
{ 'modelParams': { 'clParams': { 'clVerbosity': 0},
'sensorParams': { 'encoders': { 'consumption': { 'clipInput': True,
'fieldname': u'consumption',
'n': 28,
'name': u'consumption',
'type': 'AdaptiveScalarEncoder',
'w': 21},
'timestamp_dayOfWeek': None,
'timestamp_timeOfDay': { 'fieldname': u'timestamp',
'name': u'timestamp_timeOfDay',
'timeOfDay': ( 21,
8),
'type': 'DateEncoder'},
'timestamp_weekend': None},
'verbosity': 0},
'spParams': { },
'tpParams': { 'activationThreshold': 14,
'minThreshold': 12,
'verbosity': 0}},
'numRecords': 16000}
mod = importBaseDescription('../hotgym/description.py', config)
locals().update(mod.__dict__)
|
agpl-3.0
|
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nextgis/NextGIS_QGIS_open
|
tests/src/python/test_qgspallabeling_server.py
|
6
|
7614
|
# -*- coding: utf-8 -*-
"""QGIS unit tests for QgsPalLabeling: label rendering output via QGIS Server
From build dir, run: ctest -R PyQgsPalLabelingServer -V
See <qgis-src-dir>/tests/testdata/labeling/README.rst for description.
.. note:: This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
"""
__author__ = 'Larry Shaffer'
__date__ = '07/12/2013'
__copyright__ = 'Copyright 2013, The QGIS Project'
# This will get replaced with a git SHA1 when you do a git archive
__revision__ = '$Format:%H$'
import qgis
import sys
import os
import glob
import shutil
from PyQt4.QtCore import QSettings, qDebug
from qgis.core import QgsProject, QgsApplication, QgsPalLabeling
from utilities import mapSettingsString
from qgis_local_server import getLocalServer
from test_qgspallabeling_base import TestQgsPalLabeling, runSuite
from test_qgspallabeling_tests import (
TestPointBase,
suiteTests
)
MAPSERV = getLocalServer()
class TestServerBase(TestQgsPalLabeling):
_TestProj = None
""":type: QgsProject"""
_TestProjName = ''
layer = None
""":type: QgsVectorLayer"""
params = dict()
@classmethod
def setUpClass(cls):
if not cls._BaseSetup:
TestQgsPalLabeling.setUpClass()
MAPSERV.startup()
MAPSERV.web_dir_install(glob.glob(cls._PalDataDir + os.sep + '*.qml'))
# noinspection PyArgumentList
cls._TestProj = QgsProject.instance()
cls._TestProjName = 'pal_test.qgs'
cls._TestProj.setFileName(
os.path.join(MAPSERV.web_dir(), cls._TestProjName))
# the blue background (set via layer style) to match renderchecker's
TestQgsPalLabeling.loadFeatureLayer('background', True)
settings = QSettings()
# noinspection PyArgumentList
cls._CacheDir = settings.value(
"cache/directory",
os.path.join(unicode(QgsApplication.qgisSettingsDirPath()),
"cache"),
type=unicode)
@classmethod
def tearDownClass(cls):
"""Run after all tests"""
TestQgsPalLabeling.tearDownClass()
cls.removeMapLayer(cls.layer)
cls.layer = None
# layers removed, save empty project file
cls._TestProj.write()
if "PAL_SERVER_TEMP" in os.environ:
MAPSERV.stop_processes()
MAPSERV.open_temp_dir()
else:
MAPSERV.shutdown()
def setUp(self):
"""Run before each test."""
# web server stays up across all tests
# MAPSERV.fcgi_server_process().stop()
# self.deleteCache()
super(TestServerBase, self).setUp()
self._TestImage = ''
# ensure per test map settings stay encapsulated
self._TestMapSettings = self.cloneMapSettings(self._MapSettings)
self._Mismatch = 0
self._ColorTol = 0
self._Mismatches.clear()
self._ColorTols.clear()
# noinspection PyPep8Naming
def delete_cache(self):
for item in os.listdir(self._CacheDir):
shutil.rmtree(os.path.join(self._CacheDir, item),
ignore_errors=True)
# noinspection PyPep8Naming
def get_request_params(self):
# TODO: support other types of servers, besides WMS
ms = self._TestMapSettings
osize = ms.outputSize()
dpi = str(ms.outputDpi())
lyrs = [str(self._MapRegistry.mapLayer(i).name()) for i in ms.layers()]
lyrs.reverse()
params = {
'SERVICE': 'WMS',
'VERSION': '1.3.0',
'REQUEST': 'GetMap',
'MAP': self._TestProjName,
# layer stacking order for rendering: bottom,to,top
'LAYERS': lyrs, # or 'name,name'
'STYLES': ',',
# authid str or QgsCoordinateReferenceSystem obj
'CRS': str(ms.destinationCrs().authid()),
# self.aoiExtent(),
'BBOX': str(ms.extent().toString(True).replace(' : ', ',')),
'FORMAT': 'image/png', # or: 'image/png; mode=8bit'
'WIDTH': str(osize.width()),
'HEIGHT': str(osize.height()),
'DPI': dpi,
'MAP_RESOLUTION': dpi,
'FORMAT_OPTIONS': 'dpi:{0}'.format(dpi),
'TRANSPARENT': 'FALSE',
'IgnoreGetMapUrl': '1'
}
# print params
return params
def sync_map_settings(self):
"""
Sync custom test QgsMapSettings to Project file
"""
pal = QgsPalLabeling()
pal.loadEngineSettings()
pal.init(self._TestMapSettings)
pal.saveEngineSettings()
def checkTest(self, **kwargs):
self.sync_map_settings()
self.lyr.writeToLayer(self.layer)
# save project file
self._TestProj.write()
# always restart FCGI before tests, so settings can be applied
# MAPSERV.fcgi_server_process().start()
# get server results
# print self.params.__repr__()
ms = self._MapSettings # class settings
settings_type = 'Class'
if self._TestMapSettings is not None:
ms = self._TestMapSettings # per test settings
settings_type = 'Test'
if 'PAL_VERBOSE' in os.environ:
qDebug('MapSettings type: {0}'.format(settings_type))
qDebug(mapSettingsString(ms))
res_m, self._TestImage, url = MAPSERV.get_map(self.get_request_params(), False)
# print self._TestImage.__repr__()
if 'PAL_VERBOSE' in os.environ:
qDebug('GetMap request:\n {0}\n'.format(url))
self.saveControlImage(self._TestImage)
self.assertTrue(res_m, 'Failed to retrieve/save image from test server')
mismatch = 0
if 'PAL_NO_MISMATCH' not in os.environ:
# some mismatch expected
mismatch = self._Mismatch if self._Mismatch else 20
if self._TestGroup in self._Mismatches:
mismatch = self._Mismatches[self._TestGroup]
colortol = 0
if 'PAL_NO_COLORTOL' not in os.environ:
# some mismatch expected
# colortol = self._ColorTol if self._ColorTol else 10
if self._TestGroup in self._ColorTols:
colortol = self._ColorTols[self._TestGroup]
self.assertTrue(*self.renderCheck(mismatch=mismatch,
colortol=colortol,
imgpath=self._TestImage))
class TestServerBasePoint(TestServerBase):
@classmethod
def setUpClass(cls):
TestServerBase.setUpClass()
cls.layer = TestQgsPalLabeling.loadFeatureLayer('point')
class TestServerPoint(TestServerBasePoint, TestPointBase):
def setUp(self):
super(TestServerPoint, self).setUp()
self.configTest('pal_server', 'sp')
class TestServerVsCanvasPoint(TestServerBasePoint, TestPointBase):
def setUp(self):
super(TestServerVsCanvasPoint, self).setUp()
self.configTest('pal_canvas', 'sp')
if __name__ == '__main__':
# NOTE: unless PAL_SUITE env var is set all test class methods will be run
# SEE: test_qgspallabeling_tests.suiteTests() to define suite
suite = (
['TestServerPoint.' + t for t in suiteTests()['sp_suite']] +
['TestServerVsCanvasPoint.' + t for t in suiteTests()['sp_vs_suite']]
)
res = runSuite(sys.modules[__name__], suite)
sys.exit(not res.wasSuccessful())
|
gpl-2.0
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TathagataChakraborti/resource-conflicts
|
PLANROB-2015/seq-sat-lama/Python-2.5.2/Tools/bgen/bgen/bgenHeapBuffer.py
|
44
|
4201
|
# Buffers allocated on the heap
from bgenOutput import *
from bgenType import OutputOnlyMixIn
from bgenBuffer import FixedInputOutputBufferType
class HeapInputOutputBufferType(FixedInputOutputBufferType):
"""Input-output buffer allocated on the heap -- passed as (inbuffer, outbuffer, size).
Instantiate without parameters.
Call from Python with input buffer.
"""
def __init__(self, datatype = 'char', sizetype = 'int', sizeformat = None):
FixedInputOutputBufferType.__init__(self, "0", datatype, sizetype, sizeformat)
def getOutputBufferDeclarations(self, name, constmode=False, outmode=False):
if constmode:
raise RuntimeError, "Cannot use const output buffer"
if outmode:
out = "*"
else:
out = ""
return ["%s%s *%s__out__" % (self.datatype, out, name)]
def getargsCheck(self, name):
Output("if ((%s__out__ = malloc(%s__in_len__)) == NULL)", name, name)
OutLbrace()
Output('PyErr_NoMemory();')
Output("goto %s__error__;", name)
self.label_needed = 1
OutRbrace()
Output("%s__len__ = %s__in_len__;", name, name)
def passOutput(self, name):
return "%s__in__, %s__out__, (%s)%s__len__" % \
(name, name, self.sizetype, name)
def mkvalueArgs(self, name):
return "%s__out__, (int)%s__len__" % (name, name)
def cleanup(self, name):
Output("free(%s__out__);", name)
FixedInputOutputBufferType.cleanup(self, name)
class VarHeapInputOutputBufferType(HeapInputOutputBufferType):
"""same as base class, but passed as (inbuffer, outbuffer, &size)"""
def passOutput(self, name):
return "%s__in__, %s__out__, &%s__len__" % (name, name, name)
class HeapCombinedInputOutputBufferType(HeapInputOutputBufferType):
"""same as base class, but passed as (inoutbuffer, size)"""
def passOutput(self, name):
return "(%s *)memcpy(%s__out__, %s__in__, %s__len__)" % \
(self.datatype, name, name, name)
class VarHeapCombinedInputOutputBufferType(HeapInputOutputBufferType):
"""same as base class, but passed as (inoutbuffer, &size)"""
def passOutput(self, name):
return "(%s *)memcpy(%s__out__, %s__in__, &%s__len__)" % \
(self.datatype, name, name, name)
class HeapOutputBufferType(OutputOnlyMixIn, HeapInputOutputBufferType):
"""Output buffer allocated on the heap -- passed as (buffer, size).
Instantiate without parameters.
Call from Python with buffer size.
"""
def getInputBufferDeclarations(self, name, constmode=False):
return []
def getargsFormat(self):
return "i"
def getargsArgs(self, name):
return "&%s__in_len__" % name
def passOutput(self, name):
return "%s__out__, %s__len__" % (name, name)
class VarHeapOutputBufferType(HeapOutputBufferType):
"""Output buffer allocated on the heap -- passed as (buffer, &size).
Instantiate without parameters.
Call from Python with buffer size.
"""
def passOutput(self, name):
return "%s__out__, &%s__len__" % (name, name)
class VarVarHeapOutputBufferType(VarHeapOutputBufferType):
"""Output buffer allocated on the heap -- passed as (buffer, size, &size).
Instantiate without parameters.
Call from Python with buffer size.
"""
def passOutput(self, name):
return "%s__out__, %s__len__, &%s__len__" % (name, name, name)
class MallocHeapOutputBufferType(HeapOutputBufferType):
"""Output buffer allocated by the called function -- passed as (&buffer, &size).
Instantiate without parameters.
Call from Python without parameters.
"""
def getargsCheck(self, name):
Output("%s__out__ = NULL;", name)
def getAuxDeclarations(self, name):
return []
def passOutput(self, name):
return "&%s__out__, &%s__len__" % (name, name)
def getargsFormat(self):
return ""
def getargsArgs(self, name):
return None
def mkvalueFormat(self):
return "z#"
def cleanup(self, name):
Output("if( %s__out__ ) free(%s__out__);", name, name)
|
mit
|
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ratschlab/ASP
|
applications/msplicer/content_sensors.py
|
1
|
2271
|
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# Written (W) 2006-2007 Soeren Sonnenburg
# Written (W) 2007 Gunnar Raetsch
# Copyright (C) 2007-2008 Fraunhofer Institute FIRST and Max-Planck-Society
#
import numpy
class content_sensors:
def __init__(self, model):
self.dict_weights_intron=numpy.array(model.dict_weights_intron, dtype=numpy.float64)
self.dict_weights_coding=numpy.array(model.dict_weights_coding, dtype=numpy.float64)
self.dicts=numpy.concatenate((self.dict_weights_coding,self.dict_weights_intron, self.dict_weights_coding, self.dict_weights_intron, self.dict_weights_coding,self.dict_weights_intron, self.dict_weights_coding, self.dict_weights_intron), axis=0)
self.dicts[0, 64:] = 0 # only order 3 info
self.dicts[1, 64:] = 0 # only order 3 info
self.dicts[2, 0:64] = 0 # only order 4 info
self.dicts[2, 320:] = 0
self.dicts[3, 0:64] = 0 # only order 4 info
self.dicts[3, 320:] = 0
self.dicts[4, 0:320] = 0 # only order 5 info
self.dicts[4, 1344:] = 0
self.dicts[5, 0:320] = 0 # only order 5 info
self.dicts[5, 1344:] = 0
self.dicts[6, 0:1344] = 0 # only order 6 info
self.dicts[7, 0:1344] = 0 # only order 6 info
self.model = model
def get_dict_weights(self):
return self.dicts.T
def initialize_content(self, dyn):
dyn.init_svm_arrays(len(self.model.word_degree), len(self.model.mod_words))
word_degree = numpy.array(self.model.word_degree, numpy.int32)
dyn.init_word_degree_array(word_degree)
mod_words = numpy.array(4**word_degree, numpy.int32)
dyn.init_num_words_array(mod_words)
cum_mod_words=numpy.zeros(len(mod_words)+1, numpy.int32)
cum_mod_words[1:] = numpy.cumsum(mod_words)
dyn.init_cum_num_words_array(cum_mod_words)
dyn.init_mod_words_array(numpy.array(self.model.mod_words, numpy.int32))
dyn.init_sign_words_array(numpy.array(self.model.sign_words, numpy.bool))
dyn.init_string_words_array(numpy.zeros(len(self.model.sign_words), numpy.int32))
assert(dyn.check_svm_arrays())
|
gpl-2.0
|
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] |
gnu-sandhi/gnuradio
|
gnuradio-core/src/python/gnuradio/gr/benchmark_filters.py
|
18
|
2663
|
#!/usr/bin/env python
#
# Copyright 2005,2006,2007 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
# GNU Radio is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3, or (at your option)
# any later version.
#
# GNU Radio is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with GNU Radio; see the file COPYING. If not, write to
# the Free Software Foundation, Inc., 51 Franklin Street,
# Boston, MA 02110-1301, USA.
#
import time
import random
from optparse import OptionParser
from gnuradio import gr
from gnuradio.eng_option import eng_option
def make_random_complex_tuple(L):
result = []
for x in range(L):
result.append(complex(random.uniform(-1000,1000),
random.uniform(-1000,1000)))
return tuple(result)
def benchmark(name, creator, dec, ntaps, total_test_size, block_size):
block_size = 32768
tb = gr.top_block()
taps = make_random_complex_tuple(ntaps)
src = gr.vector_source_c(make_random_complex_tuple(block_size), True)
head = gr.head(gr.sizeof_gr_complex, int(total_test_size))
op = creator(dec, taps)
dst = gr.null_sink(gr.sizeof_gr_complex)
tb.connect(src, head, op, dst)
start = time.time()
tb.run()
stop = time.time()
delta = stop - start
print "%16s: taps: %4d input: %4g, time: %6.3f taps/sec: %10.4g" % (
name, ntaps, total_test_size, delta, ntaps*total_test_size/delta)
def main():
parser = OptionParser(option_class=eng_option)
parser.add_option("-n", "--ntaps", type="int", default=256)
parser.add_option("-t", "--total-input-size", type="eng_float", default=40e6)
parser.add_option("-b", "--block-size", type="intx", default=50000)
parser.add_option("-d", "--decimation", type="int", default=1)
(options, args) = parser.parse_args()
if len(args) != 0:
parser.print_help()
sys.exit(1)
ntaps = options.ntaps
total_input_size = options.total_input_size
block_size = options.block_size
dec = options.decimation
benchmark("gr.fir_filter_ccc", gr.fir_filter_ccc,
dec, ntaps, total_input_size, block_size)
benchmark("gr.fft_filter_ccc", gr.fft_filter_ccc,
dec, ntaps, total_input_size, block_size)
if __name__ == '__main__':
main()
|
gpl-3.0
|
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prarit/staging-next-unisys
|
scripts/checkkconfigsymbols.py
|
216
|
4661
|
#!/usr/bin/env python
"""Find Kconfig identifiers that are referenced but not defined."""
# (c) 2014 Valentin Rothberg <valentinrothberg@gmail.com>
# (c) 2014 Stefan Hengelein <stefan.hengelein@fau.de>
#
# Licensed under the terms of the GNU GPL License version 2
import os
import re
from subprocess import Popen, PIPE, STDOUT
# regex expressions
OPERATORS = r"&|\(|\)|\||\!"
FEATURE = r"(?:\w*[A-Z0-9]\w*){2,}"
DEF = r"^\s*(?:menu){,1}config\s+(" + FEATURE + r")\s*"
EXPR = r"(?:" + OPERATORS + r"|\s|" + FEATURE + r")+"
STMT = r"^\s*(?:if|select|depends\s+on)\s+" + EXPR
SOURCE_FEATURE = r"(?:\W|\b)+[D]{,1}CONFIG_(" + FEATURE + r")"
# regex objects
REGEX_FILE_KCONFIG = re.compile(r".*Kconfig[\.\w+\-]*$")
REGEX_FEATURE = re.compile(r"(" + FEATURE + r")")
REGEX_SOURCE_FEATURE = re.compile(SOURCE_FEATURE)
REGEX_KCONFIG_DEF = re.compile(DEF)
REGEX_KCONFIG_EXPR = re.compile(EXPR)
REGEX_KCONFIG_STMT = re.compile(STMT)
REGEX_KCONFIG_HELP = re.compile(r"^\s+(help|---help---)\s*$")
REGEX_FILTER_FEATURES = re.compile(r"[A-Za-z0-9]$")
def main():
"""Main function of this module."""
source_files = []
kconfig_files = []
defined_features = set()
referenced_features = dict() # {feature: [files]}
# use 'git ls-files' to get the worklist
pop = Popen("git ls-files", stdout=PIPE, stderr=STDOUT, shell=True)
(stdout, _) = pop.communicate() # wait until finished
if len(stdout) > 0 and stdout[-1] == "\n":
stdout = stdout[:-1]
for gitfile in stdout.rsplit("\n"):
if ".git" in gitfile or "ChangeLog" in gitfile or \
".log" in gitfile or os.path.isdir(gitfile):
continue
if REGEX_FILE_KCONFIG.match(gitfile):
kconfig_files.append(gitfile)
else:
# all non-Kconfig files are checked for consistency
source_files.append(gitfile)
for sfile in source_files:
parse_source_file(sfile, referenced_features)
for kfile in kconfig_files:
parse_kconfig_file(kfile, defined_features, referenced_features)
print "Undefined symbol used\tFile list"
for feature in sorted(referenced_features):
# filter some false positives
if feature == "FOO" or feature == "BAR" or \
feature == "FOO_BAR" or feature == "XXX":
continue
if feature not in defined_features:
if feature.endswith("_MODULE"):
# avoid false positives for kernel modules
if feature[:-len("_MODULE")] in defined_features:
continue
files = referenced_features.get(feature)
print "%s\t%s" % (feature, ", ".join(files))
def parse_source_file(sfile, referenced_features):
"""Parse @sfile for referenced Kconfig features."""
lines = []
with open(sfile, "r") as stream:
lines = stream.readlines()
for line in lines:
if not "CONFIG_" in line:
continue
features = REGEX_SOURCE_FEATURE.findall(line)
for feature in features:
if not REGEX_FILTER_FEATURES.search(feature):
continue
sfiles = referenced_features.get(feature, set())
sfiles.add(sfile)
referenced_features[feature] = sfiles
def get_features_in_line(line):
"""Return mentioned Kconfig features in @line."""
return REGEX_FEATURE.findall(line)
def parse_kconfig_file(kfile, defined_features, referenced_features):
"""Parse @kfile and update feature definitions and references."""
lines = []
skip = False
with open(kfile, "r") as stream:
lines = stream.readlines()
for i in range(len(lines)):
line = lines[i]
line = line.strip('\n')
line = line.split("#")[0] # ignore comments
if REGEX_KCONFIG_DEF.match(line):
feature_def = REGEX_KCONFIG_DEF.findall(line)
defined_features.add(feature_def[0])
skip = False
elif REGEX_KCONFIG_HELP.match(line):
skip = True
elif skip:
# ignore content of help messages
pass
elif REGEX_KCONFIG_STMT.match(line):
features = get_features_in_line(line)
# multi-line statements
while line.endswith("\\"):
i += 1
line = lines[i]
line = line.strip('\n')
features.extend(get_features_in_line(line))
for feature in set(features):
paths = referenced_features.get(feature, set())
paths.add(kfile)
referenced_features[feature] = paths
if __name__ == "__main__":
main()
|
gpl-2.0
|
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bswartz/manila
|
manila/api/views/share_groups.py
|
2
|
3724
|
# Copyright 2015 Alex Meade
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
from manila.api import common
class ShareGroupViewBuilder(common.ViewBuilder):
"""Model a share group API response as a python dictionary."""
_collection_name = 'share_groups'
_detail_version_modifiers = [
"add_consistent_snapshot_support_and_az_id_fields_to_sg",
]
def summary_list(self, request, share_groups):
"""Show a list of share groups without many details."""
return self._list_view(self.summary, request, share_groups)
def detail_list(self, request, share_groups):
"""Detailed view of a list of share groups."""
return self._list_view(self.detail, request, share_groups)
def summary(self, request, share_group):
"""Generic, non-detailed view of a share group."""
return {
'share_group': {
'id': share_group.get('id'),
'name': share_group.get('name'),
'links': self._get_links(request, share_group['id'])
}
}
def detail(self, request, share_group):
"""Detailed view of a single share group."""
context = request.environ['manila.context']
share_group_dict = {
'id': share_group.get('id'),
'name': share_group.get('name'),
'created_at': share_group.get('created_at'),
'status': share_group.get('status'),
'description': share_group.get('description'),
'project_id': share_group.get('project_id'),
'host': share_group.get('host'),
'share_group_type_id': share_group.get('share_group_type_id'),
'source_share_group_snapshot_id': share_group.get(
'source_share_group_snapshot_id'),
'share_network_id': share_group.get('share_network_id'),
'share_types': [st['share_type_id'] for st in share_group.get(
'share_types')],
'links': self._get_links(request, share_group['id']),
}
self.update_versioned_resource_dict(
request, share_group_dict, share_group)
if context.is_admin:
share_group_dict['share_server_id'] = share_group.get(
'share_server_id')
return {'share_group': share_group_dict}
@common.ViewBuilder.versioned_method("2.34")
def add_consistent_snapshot_support_and_az_id_fields_to_sg(
self, context, sg_dict, sg):
sg_dict['availability_zone'] = sg.get('availability_zone')
sg_dict['consistent_snapshot_support'] = sg.get(
'consistent_snapshot_support')
def _list_view(self, func, request, shares):
"""Provide a view for a list of share groups."""
share_group_list = [
func(request, share)['share_group']
for share in shares
]
share_groups_links = self._get_collection_links(
request, shares, self._collection_name)
share_groups_dict = {"share_groups": share_group_list}
if share_groups_links:
share_groups_dict['share_groups_links'] = share_groups_links
return share_groups_dict
|
apache-2.0
|
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hsuantien/scikit-learn
|
sklearn/metrics/regression.py
|
23
|
16771
|
"""Metrics to assess performance on regression task
Functions named as ``*_score`` return a scalar value to maximize: the higher
the better
Function named as ``*_error`` or ``*_loss`` return a scalar value to minimize:
the lower the better
"""
# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Mathieu Blondel <mathieu@mblondel.org>
# Olivier Grisel <olivier.grisel@ensta.org>
# Arnaud Joly <a.joly@ulg.ac.be>
# Jochen Wersdorfer <jochen@wersdoerfer.de>
# Lars Buitinck <L.J.Buitinck@uva.nl>
# Joel Nothman <joel.nothman@gmail.com>
# Noel Dawe <noel@dawe.me>
# Manoj Kumar <manojkumarsivaraj334@gmail.com>
# Michael Eickenberg <michael.eickenberg@gmail.com>
# Konstantin Shmelkov <konstantin.shmelkov@polytechnique.edu>
# License: BSD 3 clause
from __future__ import division
import numpy as np
from ..utils.validation import check_array, check_consistent_length
from ..utils.validation import column_or_1d
import warnings
__ALL__ = [
"mean_absolute_error",
"mean_squared_error",
"median_absolute_error",
"r2_score",
"explained_variance_score"
]
def _check_reg_targets(y_true, y_pred, multioutput):
"""Check that y_true and y_pred belong to the same regression task
Parameters
----------
y_true : array-like,
y_pred : array-like,
multioutput : array-like or string in ['raw_values', uniform_average',
'variance_weighted'] or None
None is accepted due to backward compatibility of r2_score().
Returns
-------
type_true : one of {'continuous', continuous-multioutput'}
The type of the true target data, as output by
'utils.multiclass.type_of_target'
y_true : array-like of shape = (n_samples, n_outputs)
Ground truth (correct) target values.
y_pred : array-like of shape = (n_samples, n_outputs)
Estimated target values.
multioutput : array-like of shape = (n_outputs) or string in ['raw_values',
uniform_average', 'variance_weighted'] or None
Custom output weights if ``multioutput`` is array-like or
just the corresponding argument if ``multioutput`` is a
correct keyword.
"""
check_consistent_length(y_true, y_pred)
y_true = check_array(y_true, ensure_2d=False)
y_pred = check_array(y_pred, ensure_2d=False)
if y_true.ndim == 1:
y_true = y_true.reshape((-1, 1))
if y_pred.ndim == 1:
y_pred = y_pred.reshape((-1, 1))
if y_true.shape[1] != y_pred.shape[1]:
raise ValueError("y_true and y_pred have different number of output "
"({0}!={1})".format(y_true.shape[1], y_pred.shape[1]))
n_outputs = y_true.shape[1]
multioutput_options = (None, 'raw_values', 'uniform_average',
'variance_weighted')
if multioutput not in multioutput_options:
multioutput = check_array(multioutput, ensure_2d=False)
if n_outputs == 1:
raise ValueError("Custom weights are useful only in "
"multi-output cases.")
elif n_outputs != len(multioutput):
raise ValueError(("There must be equally many custom weights "
"(%d) as outputs (%d).") %
(len(multioutput), n_outputs))
y_type = 'continuous' if n_outputs == 1 else 'continuous-multioutput'
return y_type, y_true, y_pred, multioutput
def mean_absolute_error(y_true, y_pred,
sample_weight=None,
multioutput='uniform_average'):
"""Mean absolute error regression loss
Read more in the :ref:`User Guide <mean_absolute_error>`.
Parameters
----------
y_true : array-like of shape = (n_samples) or (n_samples, n_outputs)
Ground truth (correct) target values.
y_pred : array-like of shape = (n_samples) or (n_samples, n_outputs)
Estimated target values.
sample_weight : array-like of shape = (n_samples), optional
Sample weights.
multioutput : string in ['raw_values', 'uniform_average']
or array-like of shape (n_outputs)
Defines aggregating of multiple output values.
Array-like value defines weights used to average errors.
'raw_values' :
Returns a full set of errors in case of multioutput input.
'uniform_average' :
Errors of all outputs are averaged with uniform weight.
Returns
-------
loss : float or ndarray of floats
If multioutput is 'raw_values', then mean absolute error is returned
for each output separately.
If multioutput is 'uniform_average' or an ndarray of weights, then the
weighted average of all output errors is returned.
MAE output is non-negative floating point. The best value is 0.0.
Examples
--------
>>> from sklearn.metrics import mean_absolute_error
>>> y_true = [3, -0.5, 2, 7]
>>> y_pred = [2.5, 0.0, 2, 8]
>>> mean_absolute_error(y_true, y_pred)
0.5
>>> y_true = [[0.5, 1], [-1, 1], [7, -6]]
>>> y_pred = [[0, 2], [-1, 2], [8, -5]]
>>> mean_absolute_error(y_true, y_pred)
0.75
>>> mean_absolute_error(y_true, y_pred, multioutput='raw_values')
array([ 0.5, 1. ])
>>> mean_absolute_error(y_true, y_pred, multioutput=[0.3, 0.7])
... # doctest: +ELLIPSIS
0.849...
"""
y_type, y_true, y_pred, multioutput = _check_reg_targets(
y_true, y_pred, multioutput)
output_errors = np.average(np.abs(y_pred - y_true),
weights=sample_weight, axis=0)
if multioutput == 'raw_values':
return output_errors
elif multioutput == 'uniform_average':
# pass None as weights to np.average: uniform mean
multioutput = None
return np.average(output_errors, weights=multioutput)
def mean_squared_error(y_true, y_pred,
sample_weight=None,
multioutput='uniform_average'):
"""Mean squared error regression loss
Read more in the :ref:`User Guide <mean_squared_error>`.
Parameters
----------
y_true : array-like of shape = (n_samples) or (n_samples, n_outputs)
Ground truth (correct) target values.
y_pred : array-like of shape = (n_samples) or (n_samples, n_outputs)
Estimated target values.
sample_weight : array-like of shape = (n_samples), optional
Sample weights.
multioutput : string in ['raw_values', 'uniform_average']
or array-like of shape (n_outputs)
Defines aggregating of multiple output values.
Array-like value defines weights used to average errors.
'raw_values' :
Returns a full set of errors in case of multioutput input.
'uniform_average' :
Errors of all outputs are averaged with uniform weight.
Returns
-------
loss : float or ndarray of floats
A non-negative floating point value (the best value is 0.0), or an
array of floating point values, one for each individual target.
Examples
--------
>>> from sklearn.metrics import mean_squared_error
>>> y_true = [3, -0.5, 2, 7]
>>> y_pred = [2.5, 0.0, 2, 8]
>>> mean_squared_error(y_true, y_pred)
0.375
>>> y_true = [[0.5, 1],[-1, 1],[7, -6]]
>>> y_pred = [[0, 2],[-1, 2],[8, -5]]
>>> mean_squared_error(y_true, y_pred) # doctest: +ELLIPSIS
0.708...
>>> mean_squared_error(y_true, y_pred, multioutput='raw_values')
... # doctest: +ELLIPSIS
array([ 0.416..., 1. ])
>>> mean_squared_error(y_true, y_pred, multioutput=[0.3, 0.7])
... # doctest: +ELLIPSIS
0.824...
"""
y_type, y_true, y_pred, multioutput = _check_reg_targets(
y_true, y_pred, multioutput)
output_errors = np.average((y_true - y_pred) ** 2, axis=0,
weights=sample_weight)
if multioutput == 'raw_values':
return output_errors
elif multioutput == 'uniform_average':
# pass None as weights to np.average: uniform mean
multioutput = None
return np.average(output_errors, weights=multioutput)
def median_absolute_error(y_true, y_pred):
"""Median absolute error regression loss
Read more in the :ref:`User Guide <median_absolute_error>`.
Parameters
----------
y_true : array-like of shape = (n_samples)
Ground truth (correct) target values.
y_pred : array-like of shape = (n_samples)
Estimated target values.
Returns
-------
loss : float
A positive floating point value (the best value is 0.0).
Examples
--------
>>> from sklearn.metrics import median_absolute_error
>>> y_true = [3, -0.5, 2, 7]
>>> y_pred = [2.5, 0.0, 2, 8]
>>> median_absolute_error(y_true, y_pred)
0.5
"""
y_type, y_true, y_pred, _ = _check_reg_targets(y_true, y_pred,
'uniform_average')
if y_type == 'continuous-multioutput':
raise ValueError("Multioutput not supported in median_absolute_error")
return np.median(np.abs(y_pred - y_true))
def explained_variance_score(y_true, y_pred,
sample_weight=None,
multioutput='uniform_average'):
"""Explained variance regression score function
Best possible score is 1.0, lower values are worse.
Read more in the :ref:`User Guide <explained_variance_score>`.
Parameters
----------
y_true : array-like of shape = (n_samples) or (n_samples, n_outputs)
Ground truth (correct) target values.
y_pred : array-like of shape = (n_samples) or (n_samples, n_outputs)
Estimated target values.
sample_weight : array-like of shape = (n_samples), optional
Sample weights.
multioutput : string in ['raw_values', 'uniform_average', \
'variance_weighted'] or array-like of shape (n_outputs)
Defines aggregating of multiple output scores.
Array-like value defines weights used to average scores.
'raw_values' :
Returns a full set of scores in case of multioutput input.
'uniform_average' :
Scores of all outputs are averaged with uniform weight.
'variance_weighted' :
Scores of all outputs are averaged, weighted by the variances
of each individual output.
Returns
-------
score : float or ndarray of floats
The explained variance or ndarray if 'multioutput' is 'raw_values'.
Notes
-----
This is not a symmetric function.
Examples
--------
>>> from sklearn.metrics import explained_variance_score
>>> y_true = [3, -0.5, 2, 7]
>>> y_pred = [2.5, 0.0, 2, 8]
>>> explained_variance_score(y_true, y_pred) # doctest: +ELLIPSIS
0.957...
>>> y_true = [[0.5, 1], [-1, 1], [7, -6]]
>>> y_pred = [[0, 2], [-1, 2], [8, -5]]
>>> explained_variance_score(y_true, y_pred, multioutput='uniform_average')
... # doctest: +ELLIPSIS
0.983...
"""
y_type, y_true, y_pred, multioutput = _check_reg_targets(
y_true, y_pred, multioutput)
y_diff_avg = np.average(y_true - y_pred, weights=sample_weight, axis=0)
numerator = np.average((y_true - y_pred - y_diff_avg) ** 2,
weights=sample_weight, axis=0)
y_true_avg = np.average(y_true, weights=sample_weight, axis=0)
denominator = np.average((y_true - y_true_avg) ** 2,
weights=sample_weight, axis=0)
nonzero_numerator = numerator != 0
nonzero_denominator = denominator != 0
valid_score = nonzero_numerator & nonzero_denominator
output_scores = np.ones(y_true.shape[1])
output_scores[valid_score] = 1 - (numerator[valid_score] /
denominator[valid_score])
output_scores[nonzero_numerator & ~nonzero_denominator] = 0.
if multioutput == 'raw_values':
# return scores individually
return output_scores
elif multioutput == 'uniform_average':
# passing to np.average() None as weights results is uniform mean
avg_weights = None
elif multioutput == 'variance_weighted':
avg_weights = denominator
else:
avg_weights = multioutput
return np.average(output_scores, weights=avg_weights)
def r2_score(y_true, y_pred,
sample_weight=None,
multioutput=None):
"""R^2 (coefficient of determination) regression score function.
Best possible score is 1.0, lower values are worse.
Read more in the :ref:`User Guide <r2_score>`.
Parameters
----------
y_true : array-like of shape = (n_samples) or (n_samples, n_outputs)
Ground truth (correct) target values.
y_pred : array-like of shape = (n_samples) or (n_samples, n_outputs)
Estimated target values.
sample_weight : array-like of shape = (n_samples), optional
Sample weights.
multioutput : string in ['raw_values', 'uniform_average',
'variance_weighted'] or None or array-like of shape (n_outputs)
Defines aggregating of multiple output scores.
Array-like value defines weights used to average scores.
Default value correponds to 'variance_weighted', but
will be changed to 'uniform_average' in next versions.
'raw_values' :
Returns a full set of scores in case of multioutput input.
'uniform_average' :
Scores of all outputs are averaged with uniform weight.
'variance_weighted' :
Scores of all outputs are averaged, weighted by the variances
of each individual output.
Returns
-------
z : float or ndarray of floats
The R^2 score or ndarray of scores if 'multioutput' is
'raw_values'.
Notes
-----
This is not a symmetric function.
Unlike most other scores, R^2 score may be negative (it need not actually
be the square of a quantity R).
References
----------
.. [1] `Wikipedia entry on the Coefficient of determination
<http://en.wikipedia.org/wiki/Coefficient_of_determination>`_
Examples
--------
>>> from sklearn.metrics import r2_score
>>> y_true = [3, -0.5, 2, 7]
>>> y_pred = [2.5, 0.0, 2, 8]
>>> r2_score(y_true, y_pred) # doctest: +ELLIPSIS
0.948...
>>> y_true = [[0.5, 1], [-1, 1], [7, -6]]
>>> y_pred = [[0, 2], [-1, 2], [8, -5]]
>>> r2_score(y_true, y_pred, multioutput='variance_weighted') # doctest: +ELLIPSIS
0.938...
"""
y_type, y_true, y_pred, multioutput = _check_reg_targets(
y_true, y_pred, multioutput)
if sample_weight is not None:
sample_weight = column_or_1d(sample_weight)
weight = sample_weight[:, np.newaxis]
else:
weight = 1.
numerator = (weight * (y_true - y_pred) ** 2).sum(axis=0,
dtype=np.float64)
denominator = (weight * (y_true - np.average(
y_true, axis=0, weights=sample_weight)) ** 2).sum(axis=0,
dtype=np.float64)
nonzero_denominator = denominator != 0
nonzero_numerator = numerator != 0
valid_score = nonzero_denominator & nonzero_numerator
output_scores = np.ones([y_true.shape[1]])
output_scores[valid_score] = 1 - (numerator[valid_score] /
denominator[valid_score])
# arbitrary set to zero to avoid -inf scores, having a constant
# y_true is not interesting for scoring a regression anyway
output_scores[nonzero_numerator & ~nonzero_denominator] = 0.
if multioutput is None and y_true.shape[1] != 1:
# @FIXME change in 0.18
warnings.warn("Default 'multioutput' behavior now corresponds to "
"'variance_weighted' value, it will be changed "
"to 'uniform_average' in 0.18.",
DeprecationWarning)
multioutput = 'variance_weighted'
if multioutput == 'raw_values':
# return scores individually
return output_scores
elif multioutput == 'uniform_average':
# passing None as weights results is uniform mean
avg_weights = None
elif multioutput == 'variance_weighted':
avg_weights = denominator
# avoid fail on constant y or one-element arrays
if not np.any(nonzero_denominator):
if not np.any(nonzero_numerator):
return 1.0
else:
return 0.0
else:
avg_weights = multioutput
return np.average(output_scores, weights=avg_weights)
|
bsd-3-clause
|
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dkodnik/arp
|
addons/sale_journal/__openerp__.py
|
119
|
2670
|
# -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>).
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
##############################################################################
{
'name': 'Invoicing Journals',
'version': '1.0',
'category': 'Sales Management',
'description': """
The sales journal modules allows you to categorise your sales and deliveries (picking lists) between different journals.
========================================================================================================================
This module is very helpful for bigger companies that works by departments.
You can use journal for different purposes, some examples:
----------------------------------------------------------
* isolate sales of different departments
* journals for deliveries by truck or by UPS
Journals have a responsible and evolves between different status:
-----------------------------------------------------------------
* draft, open, cancel, done.
Batch operations can be processed on the different journals to confirm all sales
at once, to validate or invoice packing.
It also supports batch invoicing methods that can be configured by partners and sales orders, examples:
-------------------------------------------------------------------------------------------------------
* daily invoicing
* monthly invoicing
Some statistics by journals are provided.
""",
'author': 'OpenERP SA',
'website': 'http://www.openerp.com',
'images': ['images/invoice_type.jpeg'],
'depends': ['sale_stock'],
'data': [
'security/ir.model.access.csv',
'sale_journal_view.xml',
'sale_journal_data.xml'
],
'demo': ['sale_journal_demo.xml'],
'test': [ ],
'installable': True,
'auto_install': False,
}
# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
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agpl-3.0
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sergei-maertens/django
|
tests/template_tests/syntax_tests/test_if_equal.py
|
368
|
9892
|
from django.test import SimpleTestCase
from ..utils import setup
class IfEqualTagTests(SimpleTestCase):
@setup({'ifequal01': '{% ifequal a b %}yes{% endifequal %}'})
def test_ifequal01(self):
output = self.engine.render_to_string('ifequal01', {'a': 1, 'b': 2})
self.assertEqual(output, '')
@setup({'ifequal02': '{% ifequal a b %}yes{% endifequal %}'})
def test_ifequal02(self):
output = self.engine.render_to_string('ifequal02', {'a': 1, 'b': 1})
self.assertEqual(output, 'yes')
@setup({'ifequal03': '{% ifequal a b %}yes{% else %}no{% endifequal %}'})
def test_ifequal03(self):
output = self.engine.render_to_string('ifequal03', {'a': 1, 'b': 2})
self.assertEqual(output, 'no')
@setup({'ifequal04': '{% ifequal a b %}yes{% else %}no{% endifequal %}'})
def test_ifequal04(self):
output = self.engine.render_to_string('ifequal04', {'a': 1, 'b': 1})
self.assertEqual(output, 'yes')
@setup({'ifequal05': '{% ifequal a \'test\' %}yes{% else %}no{% endifequal %}'})
def test_ifequal05(self):
output = self.engine.render_to_string('ifequal05', {'a': 'test'})
self.assertEqual(output, 'yes')
@setup({'ifequal06': '{% ifequal a \'test\' %}yes{% else %}no{% endifequal %}'})
def test_ifequal06(self):
output = self.engine.render_to_string('ifequal06', {'a': 'no'})
self.assertEqual(output, 'no')
@setup({'ifequal07': '{% ifequal a "test" %}yes{% else %}no{% endifequal %}'})
def test_ifequal07(self):
output = self.engine.render_to_string('ifequal07', {'a': 'test'})
self.assertEqual(output, 'yes')
@setup({'ifequal08': '{% ifequal a "test" %}yes{% else %}no{% endifequal %}'})
def test_ifequal08(self):
output = self.engine.render_to_string('ifequal08', {'a': 'no'})
self.assertEqual(output, 'no')
@setup({'ifequal09': '{% ifequal a "test" %}yes{% else %}no{% endifequal %}'})
def test_ifequal09(self):
output = self.engine.render_to_string('ifequal09')
self.assertEqual(output, 'no')
@setup({'ifequal10': '{% ifequal a b %}yes{% else %}no{% endifequal %}'})
def test_ifequal10(self):
output = self.engine.render_to_string('ifequal10')
self.assertEqual(output, 'yes')
# SMART SPLITTING
@setup({'ifequal-split01': '{% ifequal a "test man" %}yes{% else %}no{% endifequal %}'})
def test_ifequal_split01(self):
output = self.engine.render_to_string('ifequal-split01')
self.assertEqual(output, 'no')
@setup({'ifequal-split02': '{% ifequal a "test man" %}yes{% else %}no{% endifequal %}'})
def test_ifequal_split02(self):
output = self.engine.render_to_string('ifequal-split02', {'a': 'foo'})
self.assertEqual(output, 'no')
@setup({'ifequal-split03': '{% ifequal a "test man" %}yes{% else %}no{% endifequal %}'})
def test_ifequal_split03(self):
output = self.engine.render_to_string('ifequal-split03', {'a': 'test man'})
self.assertEqual(output, 'yes')
@setup({'ifequal-split04': '{% ifequal a \'test man\' %}yes{% else %}no{% endifequal %}'})
def test_ifequal_split04(self):
output = self.engine.render_to_string('ifequal-split04', {'a': 'test man'})
self.assertEqual(output, 'yes')
@setup({'ifequal-split05': '{% ifequal a \'i "love" you\' %}yes{% else %}no{% endifequal %}'})
def test_ifequal_split05(self):
output = self.engine.render_to_string('ifequal-split05', {'a': ''})
self.assertEqual(output, 'no')
@setup({'ifequal-split06': '{% ifequal a \'i "love" you\' %}yes{% else %}no{% endifequal %}'})
def test_ifequal_split06(self):
output = self.engine.render_to_string('ifequal-split06', {'a': 'i "love" you'})
self.assertEqual(output, 'yes')
@setup({'ifequal-split07': '{% ifequal a \'i "love" you\' %}yes{% else %}no{% endifequal %}'})
def test_ifequal_split07(self):
output = self.engine.render_to_string('ifequal-split07', {'a': 'i love you'})
self.assertEqual(output, 'no')
@setup({'ifequal-split08': r"{% ifequal a 'I\'m happy' %}yes{% else %}no{% endifequal %}"})
def test_ifequal_split08(self):
output = self.engine.render_to_string('ifequal-split08', {'a': "I'm happy"})
self.assertEqual(output, 'yes')
@setup({'ifequal-split09': r"{% ifequal a 'slash\man' %}yes{% else %}no{% endifequal %}"})
def test_ifequal_split09(self):
output = self.engine.render_to_string('ifequal-split09', {'a': 'slash\man'})
self.assertEqual(output, 'yes')
@setup({'ifequal-split10': r"{% ifequal a 'slash\man' %}yes{% else %}no{% endifequal %}"})
def test_ifequal_split10(self):
output = self.engine.render_to_string('ifequal-split10', {'a': 'slashman'})
self.assertEqual(output, 'no')
# NUMERIC RESOLUTION
@setup({'ifequal-numeric01': '{% ifequal x 5 %}yes{% endifequal %}'})
def test_ifequal_numeric01(self):
output = self.engine.render_to_string('ifequal-numeric01', {'x': '5'})
self.assertEqual(output, '')
@setup({'ifequal-numeric02': '{% ifequal x 5 %}yes{% endifequal %}'})
def test_ifequal_numeric02(self):
output = self.engine.render_to_string('ifequal-numeric02', {'x': 5})
self.assertEqual(output, 'yes')
@setup({'ifequal-numeric03': '{% ifequal x 5.2 %}yes{% endifequal %}'})
def test_ifequal_numeric03(self):
output = self.engine.render_to_string('ifequal-numeric03', {'x': 5})
self.assertEqual(output, '')
@setup({'ifequal-numeric04': '{% ifequal x 5.2 %}yes{% endifequal %}'})
def test_ifequal_numeric04(self):
output = self.engine.render_to_string('ifequal-numeric04', {'x': 5.2})
self.assertEqual(output, 'yes')
@setup({'ifequal-numeric05': '{% ifequal x 0.2 %}yes{% endifequal %}'})
def test_ifequal_numeric05(self):
output = self.engine.render_to_string('ifequal-numeric05', {'x': 0.2})
self.assertEqual(output, 'yes')
@setup({'ifequal-numeric06': '{% ifequal x .2 %}yes{% endifequal %}'})
def test_ifequal_numeric06(self):
output = self.engine.render_to_string('ifequal-numeric06', {'x': 0.2})
self.assertEqual(output, 'yes')
@setup({'ifequal-numeric07': '{% ifequal x 2. %}yes{% endifequal %}'})
def test_ifequal_numeric07(self):
output = self.engine.render_to_string('ifequal-numeric07', {'x': 2})
self.assertEqual(output, '')
@setup({'ifequal-numeric08': '{% ifequal x "5" %}yes{% endifequal %}'})
def test_ifequal_numeric08(self):
output = self.engine.render_to_string('ifequal-numeric08', {'x': 5})
self.assertEqual(output, '')
@setup({'ifequal-numeric09': '{% ifequal x "5" %}yes{% endifequal %}'})
def test_ifequal_numeric09(self):
output = self.engine.render_to_string('ifequal-numeric09', {'x': '5'})
self.assertEqual(output, 'yes')
@setup({'ifequal-numeric10': '{% ifequal x -5 %}yes{% endifequal %}'})
def test_ifequal_numeric10(self):
output = self.engine.render_to_string('ifequal-numeric10', {'x': -5})
self.assertEqual(output, 'yes')
@setup({'ifequal-numeric11': '{% ifequal x -5.2 %}yes{% endifequal %}'})
def test_ifequal_numeric11(self):
output = self.engine.render_to_string('ifequal-numeric11', {'x': -5.2})
self.assertEqual(output, 'yes')
@setup({'ifequal-numeric12': '{% ifequal x +5 %}yes{% endifequal %}'})
def test_ifequal_numeric12(self):
output = self.engine.render_to_string('ifequal-numeric12', {'x': 5})
self.assertEqual(output, 'yes')
# FILTER EXPRESSIONS AS ARGUMENTS
@setup({'ifequal-filter01': '{% ifequal a|upper "A" %}x{% endifequal %}'})
def test_ifequal_filter01(self):
output = self.engine.render_to_string('ifequal-filter01', {'a': 'a'})
self.assertEqual(output, 'x')
@setup({'ifequal-filter02': '{% ifequal "A" a|upper %}x{% endifequal %}'})
def test_ifequal_filter02(self):
output = self.engine.render_to_string('ifequal-filter02', {'a': 'a'})
self.assertEqual(output, 'x')
@setup({'ifequal-filter03': '{% ifequal a|upper b|upper %}x{% endifequal %}'})
def test_ifequal_filter03(self):
output = self.engine.render_to_string('ifequal-filter03', {'a': 'x', 'b': 'X'})
self.assertEqual(output, 'x')
@setup({'ifequal-filter04': '{% ifequal x|slice:"1" "a" %}x{% endifequal %}'})
def test_ifequal_filter04(self):
output = self.engine.render_to_string('ifequal-filter04', {'x': 'aaa'})
self.assertEqual(output, 'x')
@setup({'ifequal-filter05': '{% ifequal x|slice:"1"|upper "A" %}x{% endifequal %}'})
def test_ifequal_filter05(self):
output = self.engine.render_to_string('ifequal-filter05', {'x': 'aaa'})
self.assertEqual(output, 'x')
class IfNotEqualTagTests(SimpleTestCase):
@setup({'ifnotequal01': '{% ifnotequal a b %}yes{% endifnotequal %}'})
def test_ifnotequal01(self):
output = self.engine.render_to_string('ifnotequal01', {'a': 1, 'b': 2})
self.assertEqual(output, 'yes')
@setup({'ifnotequal02': '{% ifnotequal a b %}yes{% endifnotequal %}'})
def test_ifnotequal02(self):
output = self.engine.render_to_string('ifnotequal02', {'a': 1, 'b': 1})
self.assertEqual(output, '')
@setup({'ifnotequal03': '{% ifnotequal a b %}yes{% else %}no{% endifnotequal %}'})
def test_ifnotequal03(self):
output = self.engine.render_to_string('ifnotequal03', {'a': 1, 'b': 2})
self.assertEqual(output, 'yes')
@setup({'ifnotequal04': '{% ifnotequal a b %}yes{% else %}no{% endifnotequal %}'})
def test_ifnotequal04(self):
output = self.engine.render_to_string('ifnotequal04', {'a': 1, 'b': 1})
self.assertEqual(output, 'no')
|
bsd-3-clause
|
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kanagasabapathi/python-for-android
|
python3-alpha/python3-src/Lib/test/test_unicode.py
|
46
|
70367
|
""" Test script for the Unicode implementation.
Written by Marc-Andre Lemburg (mal@lemburg.com).
(c) Copyright CNRI, All Rights Reserved. NO WARRANTY.
"""#"
import codecs
import struct
import sys
import unittest
import warnings
from test import support, string_tests
import _string
# Error handling (bad decoder return)
def search_function(encoding):
def decode1(input, errors="strict"):
return 42 # not a tuple
def encode1(input, errors="strict"):
return 42 # not a tuple
def encode2(input, errors="strict"):
return (42, 42) # no unicode
def decode2(input, errors="strict"):
return (42, 42) # no unicode
if encoding=="test.unicode1":
return (encode1, decode1, None, None)
elif encoding=="test.unicode2":
return (encode2, decode2, None, None)
else:
return None
codecs.register(search_function)
class UnicodeTest(string_tests.CommonTest,
string_tests.MixinStrUnicodeUserStringTest,
string_tests.MixinStrUnicodeTest):
type2test = str
def checkequalnofix(self, result, object, methodname, *args):
method = getattr(object, methodname)
realresult = method(*args)
self.assertEqual(realresult, result)
self.assertTrue(type(realresult) is type(result))
# if the original is returned make sure that
# this doesn't happen with subclasses
if realresult is object:
class usub(str):
def __repr__(self):
return 'usub(%r)' % str.__repr__(self)
object = usub(object)
method = getattr(object, methodname)
realresult = method(*args)
self.assertEqual(realresult, result)
self.assertTrue(object is not realresult)
def test_literals(self):
self.assertEqual('\xff', '\u00ff')
self.assertEqual('\uffff', '\U0000ffff')
self.assertRaises(SyntaxError, eval, '\'\\Ufffffffe\'')
self.assertRaises(SyntaxError, eval, '\'\\Uffffffff\'')
self.assertRaises(SyntaxError, eval, '\'\\U%08x\'' % 0x110000)
# raw strings should not have unicode escapes
self.assertNotEqual(r"\u0020", " ")
def test_ascii(self):
if not sys.platform.startswith('java'):
# Test basic sanity of repr()
self.assertEqual(ascii('abc'), "'abc'")
self.assertEqual(ascii('ab\\c'), "'ab\\\\c'")
self.assertEqual(ascii('ab\\'), "'ab\\\\'")
self.assertEqual(ascii('\\c'), "'\\\\c'")
self.assertEqual(ascii('\\'), "'\\\\'")
self.assertEqual(ascii('\n'), "'\\n'")
self.assertEqual(ascii('\r'), "'\\r'")
self.assertEqual(ascii('\t'), "'\\t'")
self.assertEqual(ascii('\b'), "'\\x08'")
self.assertEqual(ascii("'\""), """'\\'"'""")
self.assertEqual(ascii("'\""), """'\\'"'""")
self.assertEqual(ascii("'"), '''"'"''')
self.assertEqual(ascii('"'), """'"'""")
latin1repr = (
"'\\x00\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\x08\\t\\n\\x0b\\x0c\\r"
"\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a"
"\\x1b\\x1c\\x1d\\x1e\\x1f !\"#$%&\\'()*+,-./0123456789:;<=>?@ABCDEFGHI"
"JKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f"
"\\x80\\x81\\x82\\x83\\x84\\x85\\x86\\x87\\x88\\x89\\x8a\\x8b\\x8c\\x8d"
"\\x8e\\x8f\\x90\\x91\\x92\\x93\\x94\\x95\\x96\\x97\\x98\\x99\\x9a\\x9b"
"\\x9c\\x9d\\x9e\\x9f\\xa0\\xa1\\xa2\\xa3\\xa4\\xa5\\xa6\\xa7\\xa8\\xa9"
"\\xaa\\xab\\xac\\xad\\xae\\xaf\\xb0\\xb1\\xb2\\xb3\\xb4\\xb5\\xb6\\xb7"
"\\xb8\\xb9\\xba\\xbb\\xbc\\xbd\\xbe\\xbf\\xc0\\xc1\\xc2\\xc3\\xc4\\xc5"
"\\xc6\\xc7\\xc8\\xc9\\xca\\xcb\\xcc\\xcd\\xce\\xcf\\xd0\\xd1\\xd2\\xd3"
"\\xd4\\xd5\\xd6\\xd7\\xd8\\xd9\\xda\\xdb\\xdc\\xdd\\xde\\xdf\\xe0\\xe1"
"\\xe2\\xe3\\xe4\\xe5\\xe6\\xe7\\xe8\\xe9\\xea\\xeb\\xec\\xed\\xee\\xef"
"\\xf0\\xf1\\xf2\\xf3\\xf4\\xf5\\xf6\\xf7\\xf8\\xf9\\xfa\\xfb\\xfc\\xfd"
"\\xfe\\xff'")
testrepr = ascii(''.join(map(chr, range(256))))
self.assertEqual(testrepr, latin1repr)
# Test ascii works on wide unicode escapes without overflow.
self.assertEqual(ascii("\U00010000" * 39 + "\uffff" * 4096),
ascii("\U00010000" * 39 + "\uffff" * 4096))
class WrongRepr:
def __repr__(self):
return b'byte-repr'
self.assertRaises(TypeError, ascii, WrongRepr())
def test_repr(self):
if not sys.platform.startswith('java'):
# Test basic sanity of repr()
self.assertEqual(repr('abc'), "'abc'")
self.assertEqual(repr('ab\\c'), "'ab\\\\c'")
self.assertEqual(repr('ab\\'), "'ab\\\\'")
self.assertEqual(repr('\\c'), "'\\\\c'")
self.assertEqual(repr('\\'), "'\\\\'")
self.assertEqual(repr('\n'), "'\\n'")
self.assertEqual(repr('\r'), "'\\r'")
self.assertEqual(repr('\t'), "'\\t'")
self.assertEqual(repr('\b'), "'\\x08'")
self.assertEqual(repr("'\""), """'\\'"'""")
self.assertEqual(repr("'\""), """'\\'"'""")
self.assertEqual(repr("'"), '''"'"''')
self.assertEqual(repr('"'), """'"'""")
latin1repr = (
"'\\x00\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\x08\\t\\n\\x0b\\x0c\\r"
"\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a"
"\\x1b\\x1c\\x1d\\x1e\\x1f !\"#$%&\\'()*+,-./0123456789:;<=>?@ABCDEFGHI"
"JKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f"
"\\x80\\x81\\x82\\x83\\x84\\x85\\x86\\x87\\x88\\x89\\x8a\\x8b\\x8c\\x8d"
"\\x8e\\x8f\\x90\\x91\\x92\\x93\\x94\\x95\\x96\\x97\\x98\\x99\\x9a\\x9b"
"\\x9c\\x9d\\x9e\\x9f\\xa0\xa1\xa2\xa3\xa4\xa5\xa6\xa7\xa8\xa9"
"\xaa\xab\xac\\xad\xae\xaf\xb0\xb1\xb2\xb3\xb4\xb5\xb6\xb7"
"\xb8\xb9\xba\xbb\xbc\xbd\xbe\xbf\xc0\xc1\xc2\xc3\xc4\xc5"
"\xc6\xc7\xc8\xc9\xca\xcb\xcc\xcd\xce\xcf\xd0\xd1\xd2\xd3"
"\xd4\xd5\xd6\xd7\xd8\xd9\xda\xdb\xdc\xdd\xde\xdf\xe0\xe1"
"\xe2\xe3\xe4\xe5\xe6\xe7\xe8\xe9\xea\xeb\xec\xed\xee\xef"
"\xf0\xf1\xf2\xf3\xf4\xf5\xf6\xf7\xf8\xf9\xfa\xfb\xfc\xfd"
"\xfe\xff'")
testrepr = repr(''.join(map(chr, range(256))))
self.assertEqual(testrepr, latin1repr)
# Test repr works on wide unicode escapes without overflow.
self.assertEqual(repr("\U00010000" * 39 + "\uffff" * 4096),
repr("\U00010000" * 39 + "\uffff" * 4096))
class WrongRepr:
def __repr__(self):
return b'byte-repr'
self.assertRaises(TypeError, repr, WrongRepr())
def test_iterators(self):
# Make sure unicode objects have an __iter__ method
it = "\u1111\u2222\u3333".__iter__()
self.assertEqual(next(it), "\u1111")
self.assertEqual(next(it), "\u2222")
self.assertEqual(next(it), "\u3333")
self.assertRaises(StopIteration, next, it)
def test_count(self):
string_tests.CommonTest.test_count(self)
# check mixed argument types
self.checkequalnofix(3, 'aaa', 'count', 'a')
self.checkequalnofix(0, 'aaa', 'count', 'b')
self.checkequalnofix(3, 'aaa', 'count', 'a')
self.checkequalnofix(0, 'aaa', 'count', 'b')
self.checkequalnofix(0, 'aaa', 'count', 'b')
self.checkequalnofix(1, 'aaa', 'count', 'a', -1)
self.checkequalnofix(3, 'aaa', 'count', 'a', -10)
self.checkequalnofix(2, 'aaa', 'count', 'a', 0, -1)
self.checkequalnofix(0, 'aaa', 'count', 'a', 0, -10)
def test_find(self):
self.checkequalnofix(0, 'abcdefghiabc', 'find', 'abc')
self.checkequalnofix(9, 'abcdefghiabc', 'find', 'abc', 1)
self.checkequalnofix(-1, 'abcdefghiabc', 'find', 'def', 4)
self.assertRaises(TypeError, 'hello'.find)
self.assertRaises(TypeError, 'hello'.find, 42)
def test_rfind(self):
string_tests.CommonTest.test_rfind(self)
# check mixed argument types
self.checkequalnofix(9, 'abcdefghiabc', 'rfind', 'abc')
self.checkequalnofix(12, 'abcdefghiabc', 'rfind', '')
self.checkequalnofix(12, 'abcdefghiabc', 'rfind', '')
def test_index(self):
string_tests.CommonTest.test_index(self)
self.checkequalnofix(0, 'abcdefghiabc', 'index', '')
self.checkequalnofix(3, 'abcdefghiabc', 'index', 'def')
self.checkequalnofix(0, 'abcdefghiabc', 'index', 'abc')
self.checkequalnofix(9, 'abcdefghiabc', 'index', 'abc', 1)
self.assertRaises(ValueError, 'abcdefghiabc'.index, 'hib')
self.assertRaises(ValueError, 'abcdefghiab'.index, 'abc', 1)
self.assertRaises(ValueError, 'abcdefghi'.index, 'ghi', 8)
self.assertRaises(ValueError, 'abcdefghi'.index, 'ghi', -1)
def test_rindex(self):
string_tests.CommonTest.test_rindex(self)
self.checkequalnofix(12, 'abcdefghiabc', 'rindex', '')
self.checkequalnofix(3, 'abcdefghiabc', 'rindex', 'def')
self.checkequalnofix(9, 'abcdefghiabc', 'rindex', 'abc')
self.checkequalnofix(0, 'abcdefghiabc', 'rindex', 'abc', 0, -1)
self.assertRaises(ValueError, 'abcdefghiabc'.rindex, 'hib')
self.assertRaises(ValueError, 'defghiabc'.rindex, 'def', 1)
self.assertRaises(ValueError, 'defghiabc'.rindex, 'abc', 0, -1)
self.assertRaises(ValueError, 'abcdefghi'.rindex, 'ghi', 0, 8)
self.assertRaises(ValueError, 'abcdefghi'.rindex, 'ghi', 0, -1)
def test_maketrans_translate(self):
# these work with plain translate()
self.checkequalnofix('bbbc', 'abababc', 'translate',
{ord('a'): None})
self.checkequalnofix('iiic', 'abababc', 'translate',
{ord('a'): None, ord('b'): ord('i')})
self.checkequalnofix('iiix', 'abababc', 'translate',
{ord('a'): None, ord('b'): ord('i'), ord('c'): 'x'})
self.checkequalnofix('c', 'abababc', 'translate',
{ord('a'): None, ord('b'): ''})
self.checkequalnofix('xyyx', 'xzx', 'translate',
{ord('z'): 'yy'})
# this needs maketrans()
self.checkequalnofix('abababc', 'abababc', 'translate',
{'b': '<i>'})
tbl = self.type2test.maketrans({'a': None, 'b': '<i>'})
self.checkequalnofix('<i><i><i>c', 'abababc', 'translate', tbl)
# test alternative way of calling maketrans()
tbl = self.type2test.maketrans('abc', 'xyz', 'd')
self.checkequalnofix('xyzzy', 'abdcdcbdddd', 'translate', tbl)
self.assertRaises(TypeError, self.type2test.maketrans)
self.assertRaises(ValueError, self.type2test.maketrans, 'abc', 'defg')
self.assertRaises(TypeError, self.type2test.maketrans, 2, 'def')
self.assertRaises(TypeError, self.type2test.maketrans, 'abc', 2)
self.assertRaises(TypeError, self.type2test.maketrans, 'abc', 'def', 2)
self.assertRaises(ValueError, self.type2test.maketrans, {'xy': 2})
self.assertRaises(TypeError, self.type2test.maketrans, {(1,): 2})
self.assertRaises(TypeError, 'hello'.translate)
self.assertRaises(TypeError, 'abababc'.translate, 'abc', 'xyz')
def test_split(self):
string_tests.CommonTest.test_split(self)
# Mixed arguments
self.checkequalnofix(['a', 'b', 'c', 'd'], 'a//b//c//d', 'split', '//')
self.checkequalnofix(['a', 'b', 'c', 'd'], 'a//b//c//d', 'split', '//')
self.checkequalnofix(['endcase ', ''], 'endcase test', 'split', 'test')
def test_join(self):
string_tests.MixinStrUnicodeUserStringTest.test_join(self)
class MyWrapper:
def __init__(self, sval): self.sval = sval
def __str__(self): return self.sval
# mixed arguments
self.checkequalnofix('a b c d', ' ', 'join', ['a', 'b', 'c', 'd'])
self.checkequalnofix('abcd', '', 'join', ('a', 'b', 'c', 'd'))
self.checkequalnofix('w x y z', ' ', 'join', string_tests.Sequence('wxyz'))
self.checkequalnofix('a b c d', ' ', 'join', ['a', 'b', 'c', 'd'])
self.checkequalnofix('a b c d', ' ', 'join', ['a', 'b', 'c', 'd'])
self.checkequalnofix('abcd', '', 'join', ('a', 'b', 'c', 'd'))
self.checkequalnofix('w x y z', ' ', 'join', string_tests.Sequence('wxyz'))
self.checkraises(TypeError, ' ', 'join', ['1', '2', MyWrapper('foo')])
self.checkraises(TypeError, ' ', 'join', ['1', '2', '3', bytes()])
self.checkraises(TypeError, ' ', 'join', [1, 2, 3])
self.checkraises(TypeError, ' ', 'join', ['1', '2', 3])
def test_replace(self):
string_tests.CommonTest.test_replace(self)
# method call forwarded from str implementation because of unicode argument
self.checkequalnofix('one@two!three!', 'one!two!three!', 'replace', '!', '@', 1)
self.assertRaises(TypeError, 'replace'.replace, "r", 42)
def test_bytes_comparison(self):
with support.check_warnings():
warnings.simplefilter('ignore', BytesWarning)
self.assertEqual('abc' == b'abc', False)
self.assertEqual('abc' != b'abc', True)
self.assertEqual('abc' == bytearray(b'abc'), False)
self.assertEqual('abc' != bytearray(b'abc'), True)
def test_comparison(self):
# Comparisons:
self.assertEqual('abc', 'abc')
self.assertTrue('abcd' > 'abc')
self.assertTrue('abc' < 'abcd')
if 0:
# Move these tests to a Unicode collation module test...
# Testing UTF-16 code point order comparisons...
# No surrogates, no fixup required.
self.assertTrue('\u0061' < '\u20ac')
# Non surrogate below surrogate value, no fixup required
self.assertTrue('\u0061' < '\ud800\udc02')
# Non surrogate above surrogate value, fixup required
def test_lecmp(s, s2):
self.assertTrue(s < s2)
def test_fixup(s):
s2 = '\ud800\udc01'
test_lecmp(s, s2)
s2 = '\ud900\udc01'
test_lecmp(s, s2)
s2 = '\uda00\udc01'
test_lecmp(s, s2)
s2 = '\udb00\udc01'
test_lecmp(s, s2)
s2 = '\ud800\udd01'
test_lecmp(s, s2)
s2 = '\ud900\udd01'
test_lecmp(s, s2)
s2 = '\uda00\udd01'
test_lecmp(s, s2)
s2 = '\udb00\udd01'
test_lecmp(s, s2)
s2 = '\ud800\ude01'
test_lecmp(s, s2)
s2 = '\ud900\ude01'
test_lecmp(s, s2)
s2 = '\uda00\ude01'
test_lecmp(s, s2)
s2 = '\udb00\ude01'
test_lecmp(s, s2)
s2 = '\ud800\udfff'
test_lecmp(s, s2)
s2 = '\ud900\udfff'
test_lecmp(s, s2)
s2 = '\uda00\udfff'
test_lecmp(s, s2)
s2 = '\udb00\udfff'
test_lecmp(s, s2)
test_fixup('\ue000')
test_fixup('\uff61')
# Surrogates on both sides, no fixup required
self.assertTrue('\ud800\udc02' < '\ud84d\udc56')
def test_islower(self):
string_tests.MixinStrUnicodeUserStringTest.test_islower(self)
self.checkequalnofix(False, '\u1FFc', 'islower')
def test_isupper(self):
string_tests.MixinStrUnicodeUserStringTest.test_isupper(self)
if not sys.platform.startswith('java'):
self.checkequalnofix(False, '\u1FFc', 'isupper')
def test_istitle(self):
string_tests.MixinStrUnicodeUserStringTest.test_title(self)
self.checkequalnofix(True, '\u1FFc', 'istitle')
self.checkequalnofix(True, 'Greek \u1FFcitlecases ...', 'istitle')
def test_isspace(self):
string_tests.MixinStrUnicodeUserStringTest.test_isspace(self)
self.checkequalnofix(True, '\u2000', 'isspace')
self.checkequalnofix(True, '\u200a', 'isspace')
self.checkequalnofix(False, '\u2014', 'isspace')
def test_isalpha(self):
string_tests.MixinStrUnicodeUserStringTest.test_isalpha(self)
self.checkequalnofix(True, '\u1FFc', 'isalpha')
def test_isdecimal(self):
self.checkequalnofix(False, '', 'isdecimal')
self.checkequalnofix(False, 'a', 'isdecimal')
self.checkequalnofix(True, '0', 'isdecimal')
self.checkequalnofix(False, '\u2460', 'isdecimal') # CIRCLED DIGIT ONE
self.checkequalnofix(False, '\xbc', 'isdecimal') # VULGAR FRACTION ONE QUARTER
self.checkequalnofix(True, '\u0660', 'isdecimal') # ARABIC-INDIC DIGIT ZERO
self.checkequalnofix(True, '0123456789', 'isdecimal')
self.checkequalnofix(False, '0123456789a', 'isdecimal')
self.checkraises(TypeError, 'abc', 'isdecimal', 42)
def test_isdigit(self):
string_tests.MixinStrUnicodeUserStringTest.test_isdigit(self)
self.checkequalnofix(True, '\u2460', 'isdigit')
self.checkequalnofix(False, '\xbc', 'isdigit')
self.checkequalnofix(True, '\u0660', 'isdigit')
def test_isnumeric(self):
self.checkequalnofix(False, '', 'isnumeric')
self.checkequalnofix(False, 'a', 'isnumeric')
self.checkequalnofix(True, '0', 'isnumeric')
self.checkequalnofix(True, '\u2460', 'isnumeric')
self.checkequalnofix(True, '\xbc', 'isnumeric')
self.checkequalnofix(True, '\u0660', 'isnumeric')
self.checkequalnofix(True, '0123456789', 'isnumeric')
self.checkequalnofix(False, '0123456789a', 'isnumeric')
self.assertRaises(TypeError, "abc".isnumeric, 42)
def test_isidentifier(self):
self.assertTrue("a".isidentifier())
self.assertTrue("Z".isidentifier())
self.assertTrue("_".isidentifier())
self.assertTrue("b0".isidentifier())
self.assertTrue("bc".isidentifier())
self.assertTrue("b_".isidentifier())
self.assertTrue("µ".isidentifier())
self.assertTrue("𝔘𝔫𝔦𝔠𝔬𝔡𝔢".isidentifier())
self.assertFalse(" ".isidentifier())
self.assertFalse("[".isidentifier())
self.assertFalse("©".isidentifier())
self.assertFalse("0".isidentifier())
def test_isprintable(self):
self.assertTrue("".isprintable())
self.assertTrue(" ".isprintable())
self.assertTrue("abcdefg".isprintable())
self.assertFalse("abcdefg\n".isprintable())
# some defined Unicode character
self.assertTrue("\u0374".isprintable())
# undefined character
self.assertFalse("\u0378".isprintable())
# single surrogate character
self.assertFalse("\ud800".isprintable())
def test_contains(self):
# Testing Unicode contains method
self.assertIn('a', 'abdb')
self.assertIn('a', 'bdab')
self.assertIn('a', 'bdaba')
self.assertIn('a', 'bdba')
self.assertNotIn('a', 'bdb')
self.assertIn('a', 'bdba')
self.assertIn('a', ('a',1,None))
self.assertIn('a', (1,None,'a'))
self.assertIn('a', ('a',1,None))
self.assertIn('a', (1,None,'a'))
self.assertNotIn('a', ('x',1,'y'))
self.assertNotIn('a', ('x',1,None))
self.assertNotIn('abcd', 'abcxxxx')
self.assertIn('ab', 'abcd')
self.assertIn('ab', 'abc')
self.assertIn('ab', (1,None,'ab'))
self.assertIn('', 'abc')
self.assertIn('', '')
self.assertIn('', 'abc')
self.assertNotIn('\0', 'abc')
self.assertIn('\0', '\0abc')
self.assertIn('\0', 'abc\0')
self.assertIn('a', '\0abc')
self.assertIn('asdf', 'asdf')
self.assertNotIn('asdf', 'asd')
self.assertNotIn('asdf', '')
self.assertRaises(TypeError, "abc".__contains__)
def test_format(self):
self.assertEqual(''.format(), '')
self.assertEqual('a'.format(), 'a')
self.assertEqual('ab'.format(), 'ab')
self.assertEqual('a{{'.format(), 'a{')
self.assertEqual('a}}'.format(), 'a}')
self.assertEqual('{{b'.format(), '{b')
self.assertEqual('}}b'.format(), '}b')
self.assertEqual('a{{b'.format(), 'a{b')
# examples from the PEP:
import datetime
self.assertEqual("My name is {0}".format('Fred'), "My name is Fred")
self.assertEqual("My name is {0[name]}".format(dict(name='Fred')),
"My name is Fred")
self.assertEqual("My name is {0} :-{{}}".format('Fred'),
"My name is Fred :-{}")
d = datetime.date(2007, 8, 18)
self.assertEqual("The year is {0.year}".format(d),
"The year is 2007")
# classes we'll use for testing
class C:
def __init__(self, x=100):
self._x = x
def __format__(self, spec):
return spec
class D:
def __init__(self, x):
self.x = x
def __format__(self, spec):
return str(self.x)
# class with __str__, but no __format__
class E:
def __init__(self, x):
self.x = x
def __str__(self):
return 'E(' + self.x + ')'
# class with __repr__, but no __format__ or __str__
class F:
def __init__(self, x):
self.x = x
def __repr__(self):
return 'F(' + self.x + ')'
# class with __format__ that forwards to string, for some format_spec's
class G:
def __init__(self, x):
self.x = x
def __str__(self):
return "string is " + self.x
def __format__(self, format_spec):
if format_spec == 'd':
return 'G(' + self.x + ')'
return object.__format__(self, format_spec)
class I(datetime.date):
def __format__(self, format_spec):
return self.strftime(format_spec)
class J(int):
def __format__(self, format_spec):
return int.__format__(self * 2, format_spec)
self.assertEqual(''.format(), '')
self.assertEqual('abc'.format(), 'abc')
self.assertEqual('{0}'.format('abc'), 'abc')
self.assertEqual('{0:}'.format('abc'), 'abc')
# self.assertEqual('{ 0 }'.format('abc'), 'abc')
self.assertEqual('X{0}'.format('abc'), 'Xabc')
self.assertEqual('{0}X'.format('abc'), 'abcX')
self.assertEqual('X{0}Y'.format('abc'), 'XabcY')
self.assertEqual('{1}'.format(1, 'abc'), 'abc')
self.assertEqual('X{1}'.format(1, 'abc'), 'Xabc')
self.assertEqual('{1}X'.format(1, 'abc'), 'abcX')
self.assertEqual('X{1}Y'.format(1, 'abc'), 'XabcY')
self.assertEqual('{0}'.format(-15), '-15')
self.assertEqual('{0}{1}'.format(-15, 'abc'), '-15abc')
self.assertEqual('{0}X{1}'.format(-15, 'abc'), '-15Xabc')
self.assertEqual('{{'.format(), '{')
self.assertEqual('}}'.format(), '}')
self.assertEqual('{{}}'.format(), '{}')
self.assertEqual('{{x}}'.format(), '{x}')
self.assertEqual('{{{0}}}'.format(123), '{123}')
self.assertEqual('{{{{0}}}}'.format(), '{{0}}')
self.assertEqual('}}{{'.format(), '}{')
self.assertEqual('}}x{{'.format(), '}x{')
# weird field names
self.assertEqual("{0[foo-bar]}".format({'foo-bar':'baz'}), 'baz')
self.assertEqual("{0[foo bar]}".format({'foo bar':'baz'}), 'baz')
self.assertEqual("{0[ ]}".format({' ':3}), '3')
self.assertEqual('{foo._x}'.format(foo=C(20)), '20')
self.assertEqual('{1}{0}'.format(D(10), D(20)), '2010')
self.assertEqual('{0._x.x}'.format(C(D('abc'))), 'abc')
self.assertEqual('{0[0]}'.format(['abc', 'def']), 'abc')
self.assertEqual('{0[1]}'.format(['abc', 'def']), 'def')
self.assertEqual('{0[1][0]}'.format(['abc', ['def']]), 'def')
self.assertEqual('{0[1][0].x}'.format(['abc', [D('def')]]), 'def')
# strings
self.assertEqual('{0:.3s}'.format('abc'), 'abc')
self.assertEqual('{0:.3s}'.format('ab'), 'ab')
self.assertEqual('{0:.3s}'.format('abcdef'), 'abc')
self.assertEqual('{0:.0s}'.format('abcdef'), '')
self.assertEqual('{0:3.3s}'.format('abc'), 'abc')
self.assertEqual('{0:2.3s}'.format('abc'), 'abc')
self.assertEqual('{0:2.2s}'.format('abc'), 'ab')
self.assertEqual('{0:3.2s}'.format('abc'), 'ab ')
self.assertEqual('{0:x<0s}'.format('result'), 'result')
self.assertEqual('{0:x<5s}'.format('result'), 'result')
self.assertEqual('{0:x<6s}'.format('result'), 'result')
self.assertEqual('{0:x<7s}'.format('result'), 'resultx')
self.assertEqual('{0:x<8s}'.format('result'), 'resultxx')
self.assertEqual('{0: <7s}'.format('result'), 'result ')
self.assertEqual('{0:<7s}'.format('result'), 'result ')
self.assertEqual('{0:>7s}'.format('result'), ' result')
self.assertEqual('{0:>8s}'.format('result'), ' result')
self.assertEqual('{0:^8s}'.format('result'), ' result ')
self.assertEqual('{0:^9s}'.format('result'), ' result ')
self.assertEqual('{0:^10s}'.format('result'), ' result ')
self.assertEqual('{0:10000}'.format('a'), 'a' + ' ' * 9999)
self.assertEqual('{0:10000}'.format(''), ' ' * 10000)
self.assertEqual('{0:10000000}'.format(''), ' ' * 10000000)
# format specifiers for user defined type
self.assertEqual('{0:abc}'.format(C()), 'abc')
# !r, !s and !a coercions
self.assertEqual('{0!s}'.format('Hello'), 'Hello')
self.assertEqual('{0!s:}'.format('Hello'), 'Hello')
self.assertEqual('{0!s:15}'.format('Hello'), 'Hello ')
self.assertEqual('{0!s:15s}'.format('Hello'), 'Hello ')
self.assertEqual('{0!r}'.format('Hello'), "'Hello'")
self.assertEqual('{0!r:}'.format('Hello'), "'Hello'")
self.assertEqual('{0!r}'.format(F('Hello')), 'F(Hello)')
self.assertEqual('{0!r}'.format('\u0378'), "'\\u0378'") # nonprintable
self.assertEqual('{0!r}'.format('\u0374'), "'\u0374'") # printable
self.assertEqual('{0!r}'.format(F('\u0374')), 'F(\u0374)')
self.assertEqual('{0!a}'.format('Hello'), "'Hello'")
self.assertEqual('{0!a}'.format('\u0378'), "'\\u0378'") # nonprintable
self.assertEqual('{0!a}'.format('\u0374'), "'\\u0374'") # printable
self.assertEqual('{0!a:}'.format('Hello'), "'Hello'")
self.assertEqual('{0!a}'.format(F('Hello')), 'F(Hello)')
self.assertEqual('{0!a}'.format(F('\u0374')), 'F(\\u0374)')
# test fallback to object.__format__
self.assertEqual('{0}'.format({}), '{}')
self.assertEqual('{0}'.format([]), '[]')
self.assertEqual('{0}'.format([1]), '[1]')
self.assertEqual('{0:d}'.format(G('data')), 'G(data)')
self.assertEqual('{0!s}'.format(G('data')), 'string is data')
msg = 'object.__format__ with a non-empty format string is deprecated'
with support.check_warnings((msg, PendingDeprecationWarning)):
self.assertEqual('{0:^10}'.format(E('data')), ' E(data) ')
self.assertEqual('{0:^10s}'.format(E('data')), ' E(data) ')
self.assertEqual('{0:>15s}'.format(G('data')), ' string is data')
self.assertEqual("{0:date: %Y-%m-%d}".format(I(year=2007,
month=8,
day=27)),
"date: 2007-08-27")
# test deriving from a builtin type and overriding __format__
self.assertEqual("{0}".format(J(10)), "20")
# string format specifiers
self.assertEqual('{0:}'.format('a'), 'a')
# computed format specifiers
self.assertEqual("{0:.{1}}".format('hello world', 5), 'hello')
self.assertEqual("{0:.{1}s}".format('hello world', 5), 'hello')
self.assertEqual("{0:.{precision}s}".format('hello world', precision=5), 'hello')
self.assertEqual("{0:{width}.{precision}s}".format('hello world', width=10, precision=5), 'hello ')
self.assertEqual("{0:{width}.{precision}s}".format('hello world', width='10', precision='5'), 'hello ')
# test various errors
self.assertRaises(ValueError, '{'.format)
self.assertRaises(ValueError, '}'.format)
self.assertRaises(ValueError, 'a{'.format)
self.assertRaises(ValueError, 'a}'.format)
self.assertRaises(ValueError, '{a'.format)
self.assertRaises(ValueError, '}a'.format)
self.assertRaises(IndexError, '{0}'.format)
self.assertRaises(IndexError, '{1}'.format, 'abc')
self.assertRaises(KeyError, '{x}'.format)
self.assertRaises(ValueError, "}{".format)
self.assertRaises(ValueError, "abc{0:{}".format)
self.assertRaises(ValueError, "{0".format)
self.assertRaises(IndexError, "{0.}".format)
self.assertRaises(ValueError, "{0.}".format, 0)
self.assertRaises(IndexError, "{0[}".format)
self.assertRaises(ValueError, "{0[}".format, [])
self.assertRaises(KeyError, "{0]}".format)
self.assertRaises(ValueError, "{0.[]}".format, 0)
self.assertRaises(ValueError, "{0..foo}".format, 0)
self.assertRaises(ValueError, "{0[0}".format, 0)
self.assertRaises(ValueError, "{0[0:foo}".format, 0)
self.assertRaises(KeyError, "{c]}".format)
self.assertRaises(ValueError, "{{ {{{0}}".format, 0)
self.assertRaises(ValueError, "{0}}".format, 0)
self.assertRaises(KeyError, "{foo}".format, bar=3)
self.assertRaises(ValueError, "{0!x}".format, 3)
self.assertRaises(ValueError, "{0!}".format, 0)
self.assertRaises(ValueError, "{0!rs}".format, 0)
self.assertRaises(ValueError, "{!}".format)
self.assertRaises(IndexError, "{:}".format)
self.assertRaises(IndexError, "{:s}".format)
self.assertRaises(IndexError, "{}".format)
big = "23098475029384702983476098230754973209482573"
self.assertRaises(ValueError, ("{" + big + "}").format)
self.assertRaises(ValueError, ("{[" + big + "]}").format, [0])
# issue 6089
self.assertRaises(ValueError, "{0[0]x}".format, [None])
self.assertRaises(ValueError, "{0[0](10)}".format, [None])
# can't have a replacement on the field name portion
self.assertRaises(TypeError, '{0[{1}]}'.format, 'abcdefg', 4)
# exceed maximum recursion depth
self.assertRaises(ValueError, "{0:{1:{2}}}".format, 'abc', 's', '')
self.assertRaises(ValueError, "{0:{1:{2:{3:{4:{5:{6}}}}}}}".format,
0, 1, 2, 3, 4, 5, 6, 7)
# string format spec errors
self.assertRaises(ValueError, "{0:-s}".format, '')
self.assertRaises(ValueError, format, "", "-")
self.assertRaises(ValueError, "{0:=s}".format, '')
# Alternate formatting is not supported
self.assertRaises(ValueError, format, '', '#')
self.assertRaises(ValueError, format, '', '#20')
def test_format_map(self):
self.assertEqual(''.format_map({}), '')
self.assertEqual('a'.format_map({}), 'a')
self.assertEqual('ab'.format_map({}), 'ab')
self.assertEqual('a{{'.format_map({}), 'a{')
self.assertEqual('a}}'.format_map({}), 'a}')
self.assertEqual('{{b'.format_map({}), '{b')
self.assertEqual('}}b'.format_map({}), '}b')
self.assertEqual('a{{b'.format_map({}), 'a{b')
# using mappings
class Mapping(dict):
def __missing__(self, key):
return key
self.assertEqual('{hello}'.format_map(Mapping()), 'hello')
self.assertEqual('{a} {world}'.format_map(Mapping(a='hello')), 'hello world')
class InternalMapping:
def __init__(self):
self.mapping = {'a': 'hello'}
def __getitem__(self, key):
return self.mapping[key]
self.assertEqual('{a}'.format_map(InternalMapping()), 'hello')
class C:
def __init__(self, x=100):
self._x = x
def __format__(self, spec):
return spec
self.assertEqual('{foo._x}'.format_map({'foo': C(20)}), '20')
# test various errors
self.assertRaises(TypeError, '{'.format_map)
self.assertRaises(TypeError, '}'.format_map)
self.assertRaises(TypeError, 'a{'.format_map)
self.assertRaises(TypeError, 'a}'.format_map)
self.assertRaises(TypeError, '{a'.format_map)
self.assertRaises(TypeError, '}a'.format_map)
# issue #12579: can't supply positional params to format_map
self.assertRaises(ValueError, '{}'.format_map, {'a' : 2})
self.assertRaises(ValueError, '{}'.format_map, 'a')
self.assertRaises(ValueError, '{a} {}'.format_map, {"a" : 2, "b" : 1})
def test_format_auto_numbering(self):
class C:
def __init__(self, x=100):
self._x = x
def __format__(self, spec):
return spec
self.assertEqual('{}'.format(10), '10')
self.assertEqual('{:5}'.format('s'), 's ')
self.assertEqual('{!r}'.format('s'), "'s'")
self.assertEqual('{._x}'.format(C(10)), '10')
self.assertEqual('{[1]}'.format([1, 2]), '2')
self.assertEqual('{[a]}'.format({'a':4, 'b':2}), '4')
self.assertEqual('a{}b{}c'.format(0, 1), 'a0b1c')
self.assertEqual('a{:{}}b'.format('x', '^10'), 'a x b')
self.assertEqual('a{:{}x}b'.format(20, '#'), 'a0x14b')
# can't mix and match numbering and auto-numbering
self.assertRaises(ValueError, '{}{1}'.format, 1, 2)
self.assertRaises(ValueError, '{1}{}'.format, 1, 2)
self.assertRaises(ValueError, '{:{1}}'.format, 1, 2)
self.assertRaises(ValueError, '{0:{}}'.format, 1, 2)
# can mix and match auto-numbering and named
self.assertEqual('{f}{}'.format(4, f='test'), 'test4')
self.assertEqual('{}{f}'.format(4, f='test'), '4test')
self.assertEqual('{:{f}}{g}{}'.format(1, 3, g='g', f=2), ' 1g3')
self.assertEqual('{f:{}}{}{g}'.format(2, 4, f=1, g='g'), ' 14g')
def test_formatting(self):
string_tests.MixinStrUnicodeUserStringTest.test_formatting(self)
# Testing Unicode formatting strings...
self.assertEqual("%s, %s" % ("abc", "abc"), 'abc, abc')
self.assertEqual("%s, %s, %i, %f, %5.2f" % ("abc", "abc", 1, 2, 3), 'abc, abc, 1, 2.000000, 3.00')
self.assertEqual("%s, %s, %i, %f, %5.2f" % ("abc", "abc", 1, -2, 3), 'abc, abc, 1, -2.000000, 3.00')
self.assertEqual("%s, %s, %i, %f, %5.2f" % ("abc", "abc", -1, -2, 3.5), 'abc, abc, -1, -2.000000, 3.50')
self.assertEqual("%s, %s, %i, %f, %5.2f" % ("abc", "abc", -1, -2, 3.57), 'abc, abc, -1, -2.000000, 3.57')
self.assertEqual("%s, %s, %i, %f, %5.2f" % ("abc", "abc", -1, -2, 1003.57), 'abc, abc, -1, -2.000000, 1003.57')
if not sys.platform.startswith('java'):
self.assertEqual("%r, %r" % (b"abc", "abc"), "b'abc', 'abc'")
self.assertEqual("%r" % ("\u1234",), "'\u1234'")
self.assertEqual("%a" % ("\u1234",), "'\\u1234'")
self.assertEqual("%(x)s, %(y)s" % {'x':"abc", 'y':"def"}, 'abc, def')
self.assertEqual("%(x)s, %(\xfc)s" % {'x':"abc", '\xfc':"def"}, 'abc, def')
self.assertEqual('%c' % 0x1234, '\u1234')
self.assertEqual('%c' % 0x21483, '\U00021483')
self.assertRaises(OverflowError, "%c".__mod__, (0x110000,))
self.assertEqual('%c' % '\U00021483', '\U00021483')
self.assertRaises(TypeError, "%c".__mod__, "aa")
self.assertRaises(ValueError, "%.1\u1032f".__mod__, (1.0/3))
self.assertRaises(TypeError, "%i".__mod__, "aa")
# formatting jobs delegated from the string implementation:
self.assertEqual('...%(foo)s...' % {'foo':"abc"}, '...abc...')
self.assertEqual('...%(foo)s...' % {'foo':"abc"}, '...abc...')
self.assertEqual('...%(foo)s...' % {'foo':"abc"}, '...abc...')
self.assertEqual('...%(foo)s...' % {'foo':"abc"}, '...abc...')
self.assertEqual('...%(foo)s...' % {'foo':"abc",'def':123}, '...abc...')
self.assertEqual('...%(foo)s...' % {'foo':"abc",'def':123}, '...abc...')
self.assertEqual('...%s...%s...%s...%s...' % (1,2,3,"abc"), '...1...2...3...abc...')
self.assertEqual('...%%...%%s...%s...%s...%s...%s...' % (1,2,3,"abc"), '...%...%s...1...2...3...abc...')
self.assertEqual('...%s...' % "abc", '...abc...')
self.assertEqual('%*s' % (5,'abc',), ' abc')
self.assertEqual('%*s' % (-5,'abc',), 'abc ')
self.assertEqual('%*.*s' % (5,2,'abc',), ' ab')
self.assertEqual('%*.*s' % (5,3,'abc',), ' abc')
self.assertEqual('%i %*.*s' % (10, 5,3,'abc',), '10 abc')
self.assertEqual('%i%s %*.*s' % (10, 3, 5, 3, 'abc',), '103 abc')
self.assertEqual('%c' % 'a', 'a')
class Wrapper:
def __str__(self):
return '\u1234'
self.assertEqual('%s' % Wrapper(), '\u1234')
# issue 3382
NAN = float('nan')
INF = float('inf')
self.assertEqual('%f' % NAN, 'nan')
self.assertEqual('%F' % NAN, 'NAN')
self.assertEqual('%f' % INF, 'inf')
self.assertEqual('%F' % INF, 'INF')
def test_startswith_endswith_errors(self):
for meth in ('foo'.startswith, 'foo'.endswith):
with self.assertRaises(TypeError) as cm:
meth(['f'])
exc = str(cm.exception)
self.assertIn('str', exc)
self.assertIn('tuple', exc)
@support.run_with_locale('LC_ALL', 'de_DE', 'fr_FR')
def test_format_float(self):
# should not format with a comma, but always with C locale
self.assertEqual('1.0', '%.1f' % 1.0)
def test_constructor(self):
# unicode(obj) tests (this maps to PyObject_Unicode() at C level)
self.assertEqual(
str('unicode remains unicode'),
'unicode remains unicode'
)
class UnicodeSubclass(str):
pass
self.assertEqual(
str(UnicodeSubclass('unicode subclass becomes unicode')),
'unicode subclass becomes unicode'
)
self.assertEqual(
str('strings are converted to unicode'),
'strings are converted to unicode'
)
class StringCompat:
def __init__(self, x):
self.x = x
def __str__(self):
return self.x
self.assertEqual(
str(StringCompat('__str__ compatible objects are recognized')),
'__str__ compatible objects are recognized'
)
# unicode(obj) is compatible to str():
o = StringCompat('unicode(obj) is compatible to str()')
self.assertEqual(str(o), 'unicode(obj) is compatible to str()')
self.assertEqual(str(o), 'unicode(obj) is compatible to str()')
for obj in (123, 123.45, 123):
self.assertEqual(str(obj), str(str(obj)))
# unicode(obj, encoding, error) tests (this maps to
# PyUnicode_FromEncodedObject() at C level)
if not sys.platform.startswith('java'):
self.assertRaises(
TypeError,
str,
'decoding unicode is not supported',
'utf-8',
'strict'
)
self.assertEqual(
str(b'strings are decoded to unicode', 'utf-8', 'strict'),
'strings are decoded to unicode'
)
if not sys.platform.startswith('java'):
self.assertEqual(
str(
memoryview(b'character buffers are decoded to unicode'),
'utf-8',
'strict'
),
'character buffers are decoded to unicode'
)
self.assertRaises(TypeError, str, 42, 42, 42)
def test_codecs_utf7(self):
utfTests = [
('A\u2262\u0391.', b'A+ImIDkQ.'), # RFC2152 example
('Hi Mom -\u263a-!', b'Hi Mom -+Jjo--!'), # RFC2152 example
('\u65E5\u672C\u8A9E', b'+ZeVnLIqe-'), # RFC2152 example
('Item 3 is \u00a31.', b'Item 3 is +AKM-1.'), # RFC2152 example
('+', b'+-'),
('+-', b'+--'),
('+?', b'+-?'),
('\?', b'+AFw?'),
('+?', b'+-?'),
(r'\\?', b'+AFwAXA?'),
(r'\\\?', b'+AFwAXABc?'),
(r'++--', b'+-+---'),
('\U000abcde', b'+2m/c3g-'), # surrogate pairs
('/', b'/'),
]
for (x, y) in utfTests:
self.assertEqual(x.encode('utf-7'), y)
# Unpaired surrogates not supported
self.assertRaises(UnicodeError, str, b'+3ADYAA-', 'utf-7')
self.assertEqual(str(b'+3ADYAA-', 'utf-7', 'replace'), '\ufffd\ufffd')
# Issue #2242: crash on some Windows/MSVC versions
self.assertEqual(b'+\xc1'.decode('utf-7'), '\xc1')
# Direct encoded characters
set_d = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789'(),-./:?"
# Optional direct characters
set_o = '!"#$%&*;<=>@[]^_`{|}'
for c in set_d:
self.assertEqual(c.encode('utf7'), c.encode('ascii'))
self.assertEqual(c.encode('ascii').decode('utf7'), c)
for c in set_o:
self.assertEqual(c.encode('ascii').decode('utf7'), c)
def test_codecs_utf8(self):
self.assertEqual(''.encode('utf-8'), b'')
self.assertEqual('\u20ac'.encode('utf-8'), b'\xe2\x82\xac')
if sys.maxunicode == 65535:
self.assertEqual('\ud800\udc02'.encode('utf-8'), b'\xf0\x90\x80\x82')
self.assertEqual('\ud84d\udc56'.encode('utf-8'), b'\xf0\xa3\x91\x96')
self.assertEqual('\ud800'.encode('utf-8', 'surrogatepass'), b'\xed\xa0\x80')
self.assertEqual('\udc00'.encode('utf-8', 'surrogatepass'), b'\xed\xb0\x80')
if sys.maxunicode == 65535:
self.assertEqual(
('\ud800\udc02'*1000).encode('utf-8'),
b'\xf0\x90\x80\x82'*1000)
self.assertEqual(
'\u6b63\u78ba\u306b\u8a00\u3046\u3068\u7ffb\u8a33\u306f'
'\u3055\u308c\u3066\u3044\u307e\u305b\u3093\u3002\u4e00'
'\u90e8\u306f\u30c9\u30a4\u30c4\u8a9e\u3067\u3059\u304c'
'\u3001\u3042\u3068\u306f\u3067\u305f\u3089\u3081\u3067'
'\u3059\u3002\u5b9f\u969b\u306b\u306f\u300cWenn ist das'
' Nunstuck git und'.encode('utf-8'),
b'\xe6\xad\xa3\xe7\xa2\xba\xe3\x81\xab\xe8\xa8\x80\xe3\x81'
b'\x86\xe3\x81\xa8\xe7\xbf\xbb\xe8\xa8\xb3\xe3\x81\xaf\xe3'
b'\x81\x95\xe3\x82\x8c\xe3\x81\xa6\xe3\x81\x84\xe3\x81\xbe'
b'\xe3\x81\x9b\xe3\x82\x93\xe3\x80\x82\xe4\xb8\x80\xe9\x83'
b'\xa8\xe3\x81\xaf\xe3\x83\x89\xe3\x82\xa4\xe3\x83\x84\xe8'
b'\xaa\x9e\xe3\x81\xa7\xe3\x81\x99\xe3\x81\x8c\xe3\x80\x81'
b'\xe3\x81\x82\xe3\x81\xa8\xe3\x81\xaf\xe3\x81\xa7\xe3\x81'
b'\x9f\xe3\x82\x89\xe3\x82\x81\xe3\x81\xa7\xe3\x81\x99\xe3'
b'\x80\x82\xe5\xae\x9f\xe9\x9a\x9b\xe3\x81\xab\xe3\x81\xaf'
b'\xe3\x80\x8cWenn ist das Nunstuck git und'
)
# UTF-8 specific decoding tests
self.assertEqual(str(b'\xf0\xa3\x91\x96', 'utf-8'), '\U00023456' )
self.assertEqual(str(b'\xf0\x90\x80\x82', 'utf-8'), '\U00010002' )
self.assertEqual(str(b'\xe2\x82\xac', 'utf-8'), '\u20ac' )
# Other possible utf-8 test cases:
# * strict decoding testing for all of the
# UTF8_ERROR cases in PyUnicode_DecodeUTF8
def test_utf8_decode_valid_sequences(self):
sequences = [
# single byte
(b'\x00', '\x00'), (b'a', 'a'), (b'\x7f', '\x7f'),
# 2 bytes
(b'\xc2\x80', '\x80'), (b'\xdf\xbf', '\u07ff'),
# 3 bytes
(b'\xe0\xa0\x80', '\u0800'), (b'\xed\x9f\xbf', '\ud7ff'),
(b'\xee\x80\x80', '\uE000'), (b'\xef\xbf\xbf', '\uffff'),
# 4 bytes
(b'\xF0\x90\x80\x80', '\U00010000'),
(b'\xf4\x8f\xbf\xbf', '\U0010FFFF')
]
for seq, res in sequences:
self.assertEqual(seq.decode('utf-8'), res)
def test_utf8_decode_invalid_sequences(self):
# continuation bytes in a sequence of 2, 3, or 4 bytes
continuation_bytes = [bytes([x]) for x in range(0x80, 0xC0)]
# start bytes of a 2-byte sequence equivalent to codepoints < 0x7F
invalid_2B_seq_start_bytes = [bytes([x]) for x in range(0xC0, 0xC2)]
# start bytes of a 4-byte sequence equivalent to codepoints > 0x10FFFF
invalid_4B_seq_start_bytes = [bytes([x]) for x in range(0xF5, 0xF8)]
invalid_start_bytes = (
continuation_bytes + invalid_2B_seq_start_bytes +
invalid_4B_seq_start_bytes + [bytes([x]) for x in range(0xF7, 0x100)]
)
for byte in invalid_start_bytes:
self.assertRaises(UnicodeDecodeError, byte.decode, 'utf-8')
for sb in invalid_2B_seq_start_bytes:
for cb in continuation_bytes:
self.assertRaises(UnicodeDecodeError, (sb+cb).decode, 'utf-8')
for sb in invalid_4B_seq_start_bytes:
for cb1 in continuation_bytes[:3]:
for cb3 in continuation_bytes[:3]:
self.assertRaises(UnicodeDecodeError,
(sb+cb1+b'\x80'+cb3).decode, 'utf-8')
for cb in [bytes([x]) for x in range(0x80, 0xA0)]:
self.assertRaises(UnicodeDecodeError,
(b'\xE0'+cb+b'\x80').decode, 'utf-8')
self.assertRaises(UnicodeDecodeError,
(b'\xE0'+cb+b'\xBF').decode, 'utf-8')
# surrogates
for cb in [bytes([x]) for x in range(0xA0, 0xC0)]:
self.assertRaises(UnicodeDecodeError,
(b'\xED'+cb+b'\x80').decode, 'utf-8')
self.assertRaises(UnicodeDecodeError,
(b'\xED'+cb+b'\xBF').decode, 'utf-8')
for cb in [bytes([x]) for x in range(0x80, 0x90)]:
self.assertRaises(UnicodeDecodeError,
(b'\xF0'+cb+b'\x80\x80').decode, 'utf-8')
self.assertRaises(UnicodeDecodeError,
(b'\xF0'+cb+b'\xBF\xBF').decode, 'utf-8')
for cb in [bytes([x]) for x in range(0x90, 0xC0)]:
self.assertRaises(UnicodeDecodeError,
(b'\xF4'+cb+b'\x80\x80').decode, 'utf-8')
self.assertRaises(UnicodeDecodeError,
(b'\xF4'+cb+b'\xBF\xBF').decode, 'utf-8')
def test_issue8271(self):
# Issue #8271: during the decoding of an invalid UTF-8 byte sequence,
# only the start byte and the continuation byte(s) are now considered
# invalid, instead of the number of bytes specified by the start byte.
# See http://www.unicode.org/versions/Unicode5.2.0/ch03.pdf (page 95,
# table 3-8, Row 2) for more information about the algorithm used.
FFFD = '\ufffd'
sequences = [
# invalid start bytes
(b'\x80', FFFD), # continuation byte
(b'\x80\x80', FFFD*2), # 2 continuation bytes
(b'\xc0', FFFD),
(b'\xc0\xc0', FFFD*2),
(b'\xc1', FFFD),
(b'\xc1\xc0', FFFD*2),
(b'\xc0\xc1', FFFD*2),
# with start byte of a 2-byte sequence
(b'\xc2', FFFD), # only the start byte
(b'\xc2\xc2', FFFD*2), # 2 start bytes
(b'\xc2\xc2\xc2', FFFD*3), # 2 start bytes
(b'\xc2\x41', FFFD+'A'), # invalid continuation byte
# with start byte of a 3-byte sequence
(b'\xe1', FFFD), # only the start byte
(b'\xe1\xe1', FFFD*2), # 2 start bytes
(b'\xe1\xe1\xe1', FFFD*3), # 3 start bytes
(b'\xe1\xe1\xe1\xe1', FFFD*4), # 4 start bytes
(b'\xe1\x80', FFFD), # only 1 continuation byte
(b'\xe1\x41', FFFD+'A'), # invalid continuation byte
(b'\xe1\x41\x80', FFFD+'A'+FFFD), # invalid cb followed by valid cb
(b'\xe1\x41\x41', FFFD+'AA'), # 2 invalid continuation bytes
(b'\xe1\x80\x41', FFFD+'A'), # only 1 valid continuation byte
(b'\xe1\x80\xe1\x41', FFFD*2+'A'), # 1 valid and the other invalid
(b'\xe1\x41\xe1\x80', FFFD+'A'+FFFD), # 1 invalid and the other valid
# with start byte of a 4-byte sequence
(b'\xf1', FFFD), # only the start byte
(b'\xf1\xf1', FFFD*2), # 2 start bytes
(b'\xf1\xf1\xf1', FFFD*3), # 3 start bytes
(b'\xf1\xf1\xf1\xf1', FFFD*4), # 4 start bytes
(b'\xf1\xf1\xf1\xf1\xf1', FFFD*5), # 5 start bytes
(b'\xf1\x80', FFFD), # only 1 continuation bytes
(b'\xf1\x80\x80', FFFD), # only 2 continuation bytes
(b'\xf1\x80\x41', FFFD+'A'), # 1 valid cb and 1 invalid
(b'\xf1\x80\x41\x41', FFFD+'AA'), # 1 valid cb and 1 invalid
(b'\xf1\x80\x80\x41', FFFD+'A'), # 2 valid cb and 1 invalid
(b'\xf1\x41\x80', FFFD+'A'+FFFD), # 1 invalid cv and 1 valid
(b'\xf1\x41\x80\x80', FFFD+'A'+FFFD*2), # 1 invalid cb and 2 invalid
(b'\xf1\x41\x80\x41', FFFD+'A'+FFFD+'A'), # 2 invalid cb and 1 invalid
(b'\xf1\x41\x41\x80', FFFD+'AA'+FFFD), # 1 valid cb and 1 invalid
(b'\xf1\x41\xf1\x80', FFFD+'A'+FFFD),
(b'\xf1\x41\x80\xf1', FFFD+'A'+FFFD*2),
(b'\xf1\xf1\x80\x41', FFFD*2+'A'),
(b'\xf1\x41\xf1\xf1', FFFD+'A'+FFFD*2),
# with invalid start byte of a 4-byte sequence (rfc2279)
(b'\xf5', FFFD), # only the start byte
(b'\xf5\xf5', FFFD*2), # 2 start bytes
(b'\xf5\x80', FFFD*2), # only 1 continuation byte
(b'\xf5\x80\x80', FFFD*3), # only 2 continuation byte
(b'\xf5\x80\x80\x80', FFFD*4), # 3 continuation bytes
(b'\xf5\x80\x41', FFFD*2+'A'), # 1 valid cb and 1 invalid
(b'\xf5\x80\x41\xf5', FFFD*2+'A'+FFFD),
(b'\xf5\x41\x80\x80\x41', FFFD+'A'+FFFD*2+'A'),
# with invalid start byte of a 5-byte sequence (rfc2279)
(b'\xf8', FFFD), # only the start byte
(b'\xf8\xf8', FFFD*2), # 2 start bytes
(b'\xf8\x80', FFFD*2), # only one continuation byte
(b'\xf8\x80\x41', FFFD*2 + 'A'), # 1 valid cb and 1 invalid
(b'\xf8\x80\x80\x80\x80', FFFD*5), # invalid 5 bytes seq with 5 bytes
# with invalid start byte of a 6-byte sequence (rfc2279)
(b'\xfc', FFFD), # only the start byte
(b'\xfc\xfc', FFFD*2), # 2 start bytes
(b'\xfc\x80\x80', FFFD*3), # only 2 continuation bytes
(b'\xfc\x80\x80\x80\x80\x80', FFFD*6), # 6 continuation bytes
# invalid start byte
(b'\xfe', FFFD),
(b'\xfe\x80\x80', FFFD*3),
# other sequences
(b'\xf1\x80\x41\x42\x43', '\ufffd\x41\x42\x43'),
(b'\xf1\x80\xff\x42\x43', '\ufffd\ufffd\x42\x43'),
(b'\xf1\x80\xc2\x81\x43', '\ufffd\x81\x43'),
(b'\x61\xF1\x80\x80\xE1\x80\xC2\x62\x80\x63\x80\xBF\x64',
'\x61\uFFFD\uFFFD\uFFFD\x62\uFFFD\x63\uFFFD\uFFFD\x64'),
]
for n, (seq, res) in enumerate(sequences):
self.assertRaises(UnicodeDecodeError, seq.decode, 'utf-8', 'strict')
self.assertEqual(seq.decode('utf-8', 'replace'), res)
self.assertEqual((seq+b'b').decode('utf-8', 'replace'), res+'b')
self.assertEqual(seq.decode('utf-8', 'ignore'),
res.replace('\uFFFD', ''))
def test_codecs_idna(self):
# Test whether trailing dot is preserved
self.assertEqual("www.python.org.".encode("idna"), b"www.python.org.")
def test_codecs_errors(self):
# Error handling (encoding)
self.assertRaises(UnicodeError, 'Andr\202 x'.encode, 'ascii')
self.assertRaises(UnicodeError, 'Andr\202 x'.encode, 'ascii','strict')
self.assertEqual('Andr\202 x'.encode('ascii','ignore'), b"Andr x")
self.assertEqual('Andr\202 x'.encode('ascii','replace'), b"Andr? x")
self.assertEqual('Andr\202 x'.encode('ascii', 'replace'),
'Andr\202 x'.encode('ascii', errors='replace'))
self.assertEqual('Andr\202 x'.encode('ascii', 'ignore'),
'Andr\202 x'.encode(encoding='ascii', errors='ignore'))
# Error handling (decoding)
self.assertRaises(UnicodeError, str, b'Andr\202 x', 'ascii')
self.assertRaises(UnicodeError, str, b'Andr\202 x', 'ascii', 'strict')
self.assertEqual(str(b'Andr\202 x', 'ascii', 'ignore'), "Andr x")
self.assertEqual(str(b'Andr\202 x', 'ascii', 'replace'), 'Andr\uFFFD x')
# Error handling (unknown character names)
self.assertEqual(b"\\N{foo}xx".decode("unicode-escape", "ignore"), "xx")
# Error handling (truncated escape sequence)
self.assertRaises(UnicodeError, b"\\".decode, "unicode-escape")
self.assertRaises(TypeError, b"hello".decode, "test.unicode1")
self.assertRaises(TypeError, str, b"hello", "test.unicode2")
self.assertRaises(TypeError, "hello".encode, "test.unicode1")
self.assertRaises(TypeError, "hello".encode, "test.unicode2")
# executes PyUnicode_Encode()
import imp
self.assertRaises(
ImportError,
imp.find_module,
"non-existing module",
["non-existing dir"]
)
# Error handling (wrong arguments)
self.assertRaises(TypeError, "hello".encode, 42, 42, 42)
# Error handling (lone surrogate in PyUnicode_TransformDecimalToASCII())
self.assertRaises(UnicodeError, int, "\ud800")
self.assertRaises(UnicodeError, int, "\udf00")
self.assertRaises(UnicodeError, float, "\ud800")
self.assertRaises(UnicodeError, float, "\udf00")
self.assertRaises(UnicodeError, complex, "\ud800")
self.assertRaises(UnicodeError, complex, "\udf00")
def test_codecs(self):
# Encoding
self.assertEqual('hello'.encode('ascii'), b'hello')
self.assertEqual('hello'.encode('utf-7'), b'hello')
self.assertEqual('hello'.encode('utf-8'), b'hello')
self.assertEqual('hello'.encode('utf8'), b'hello')
self.assertEqual('hello'.encode('utf-16-le'), b'h\000e\000l\000l\000o\000')
self.assertEqual('hello'.encode('utf-16-be'), b'\000h\000e\000l\000l\000o')
self.assertEqual('hello'.encode('latin-1'), b'hello')
# Roundtrip safety for BMP (just the first 1024 chars)
for c in range(1024):
u = chr(c)
for encoding in ('utf-7', 'utf-8', 'utf-16', 'utf-16-le',
'utf-16-be', 'raw_unicode_escape',
'unicode_escape', 'unicode_internal'):
self.assertEqual(str(u.encode(encoding),encoding), u)
# Roundtrip safety for BMP (just the first 256 chars)
for c in range(256):
u = chr(c)
for encoding in ('latin-1',):
self.assertEqual(str(u.encode(encoding),encoding), u)
# Roundtrip safety for BMP (just the first 128 chars)
for c in range(128):
u = chr(c)
for encoding in ('ascii',):
self.assertEqual(str(u.encode(encoding),encoding), u)
# Roundtrip safety for non-BMP (just a few chars)
u = '\U00010001\U00020002\U00030003\U00040004\U00050005'
for encoding in ('utf-8', 'utf-16', 'utf-16-le', 'utf-16-be',
#'raw_unicode_escape',
'unicode_escape', 'unicode_internal'):
self.assertEqual(str(u.encode(encoding),encoding), u)
# UTF-8 must be roundtrip safe for all UCS-2 code points
# This excludes surrogates: in the full range, there would be
# a surrogate pair (\udbff\udc00), which gets converted back
# to a non-BMP character (\U0010fc00)
u = ''.join(map(chr, list(range(0,0xd800)) +
list(range(0xe000,0x10000))))
for encoding in ('utf-8',):
self.assertEqual(str(u.encode(encoding),encoding), u)
def test_codecs_charmap(self):
# 0-127
s = bytes(range(128))
for encoding in (
'cp037', 'cp1026',
'cp437', 'cp500', 'cp720', 'cp737', 'cp775', 'cp850',
'cp852', 'cp855', 'cp858', 'cp860', 'cp861', 'cp862',
'cp863', 'cp865', 'cp866',
'iso8859_10', 'iso8859_13', 'iso8859_14', 'iso8859_15',
'iso8859_2', 'iso8859_3', 'iso8859_4', 'iso8859_5', 'iso8859_6',
'iso8859_7', 'iso8859_9', 'koi8_r', 'latin_1',
'mac_cyrillic', 'mac_latin2',
'cp1250', 'cp1251', 'cp1252', 'cp1253', 'cp1254', 'cp1255',
'cp1256', 'cp1257', 'cp1258',
'cp856', 'cp857', 'cp864', 'cp869', 'cp874',
'mac_greek', 'mac_iceland','mac_roman', 'mac_turkish',
'cp1006', 'iso8859_8',
### These have undefined mappings:
#'cp424',
### These fail the round-trip:
#'cp875'
):
self.assertEqual(str(s, encoding).encode(encoding), s)
# 128-255
s = bytes(range(128, 256))
for encoding in (
'cp037', 'cp1026',
'cp437', 'cp500', 'cp720', 'cp737', 'cp775', 'cp850',
'cp852', 'cp855', 'cp858', 'cp860', 'cp861', 'cp862',
'cp863', 'cp865', 'cp866',
'iso8859_10', 'iso8859_13', 'iso8859_14', 'iso8859_15',
'iso8859_2', 'iso8859_4', 'iso8859_5',
'iso8859_9', 'koi8_r', 'latin_1',
'mac_cyrillic', 'mac_latin2',
### These have undefined mappings:
#'cp1250', 'cp1251', 'cp1252', 'cp1253', 'cp1254', 'cp1255',
#'cp1256', 'cp1257', 'cp1258',
#'cp424', 'cp856', 'cp857', 'cp864', 'cp869', 'cp874',
#'iso8859_3', 'iso8859_6', 'iso8859_7',
#'mac_greek', 'mac_iceland','mac_roman', 'mac_turkish',
### These fail the round-trip:
#'cp1006', 'cp875', 'iso8859_8',
):
self.assertEqual(str(s, encoding).encode(encoding), s)
def test_concatenation(self):
self.assertEqual(("abc" "def"), "abcdef")
self.assertEqual(("abc" "def"), "abcdef")
self.assertEqual(("abc" "def"), "abcdef")
self.assertEqual(("abc" "def" "ghi"), "abcdefghi")
self.assertEqual(("abc" "def" "ghi"), "abcdefghi")
def test_printing(self):
class BitBucket:
def write(self, text):
pass
out = BitBucket()
print('abc', file=out)
print('abc', 'def', file=out)
print('abc', 'def', file=out)
print('abc', 'def', file=out)
print('abc\n', file=out)
print('abc\n', end=' ', file=out)
print('abc\n', end=' ', file=out)
print('def\n', file=out)
print('def\n', file=out)
def test_ucs4(self):
x = '\U00100000'
y = x.encode("raw-unicode-escape").decode("raw-unicode-escape")
self.assertEqual(x, y)
y = br'\U00100000'
x = y.decode("raw-unicode-escape").encode("raw-unicode-escape")
self.assertEqual(x, y)
y = br'\U00010000'
x = y.decode("raw-unicode-escape").encode("raw-unicode-escape")
self.assertEqual(x, y)
try:
br'\U11111111'.decode("raw-unicode-escape")
except UnicodeDecodeError as e:
self.assertEqual(e.start, 0)
self.assertEqual(e.end, 10)
else:
self.fail("Should have raised UnicodeDecodeError")
def test_conversion(self):
# Make sure __unicode__() works properly
class Foo0:
def __str__(self):
return "foo"
class Foo1:
def __str__(self):
return "foo"
class Foo2(object):
def __str__(self):
return "foo"
class Foo3(object):
def __str__(self):
return "foo"
class Foo4(str):
def __str__(self):
return "foo"
class Foo5(str):
def __str__(self):
return "foo"
class Foo6(str):
def __str__(self):
return "foos"
def __str__(self):
return "foou"
class Foo7(str):
def __str__(self):
return "foos"
def __str__(self):
return "foou"
class Foo8(str):
def __new__(cls, content=""):
return str.__new__(cls, 2*content)
def __str__(self):
return self
class Foo9(str):
def __str__(self):
return "not unicode"
self.assertEqual(str(Foo0()), "foo")
self.assertEqual(str(Foo1()), "foo")
self.assertEqual(str(Foo2()), "foo")
self.assertEqual(str(Foo3()), "foo")
self.assertEqual(str(Foo4("bar")), "foo")
self.assertEqual(str(Foo5("bar")), "foo")
self.assertEqual(str(Foo6("bar")), "foou")
self.assertEqual(str(Foo7("bar")), "foou")
self.assertEqual(str(Foo8("foo")), "foofoo")
self.assertEqual(str(Foo9("foo")), "not unicode")
def test_unicode_repr(self):
class s1:
def __repr__(self):
return '\\n'
class s2:
def __repr__(self):
return '\\n'
self.assertEqual(repr(s1()), '\\n')
self.assertEqual(repr(s2()), '\\n')
def test_printable_repr(self):
self.assertEqual(repr('\U00010000'), "'%c'" % (0x10000,)) # printable
self.assertEqual(repr('\U00014000'), "'\\U00014000'") # nonprintable
def test_expandtabs_overflows_gracefully(self):
# This test only affects 32-bit platforms because expandtabs can only take
# an int as the max value, not a 64-bit C long. If expandtabs is changed
# to take a 64-bit long, this test should apply to all platforms.
if sys.maxsize > (1 << 32) or struct.calcsize('P') != 4:
return
self.assertRaises(OverflowError, 't\tt\t'.expandtabs, sys.maxsize)
def test_raiseMemError(self):
# Ensure that the freelist contains a consistent object, even
# when a string allocation fails with a MemoryError.
# This used to crash the interpreter,
# or leak references when the number was smaller.
charwidth = 4 if sys.maxunicode >= 0x10000 else 2
# Note: sys.maxsize is half of the actual max allocation because of
# the signedness of Py_ssize_t.
alloc = lambda: "a" * (sys.maxsize // charwidth * 2)
self.assertRaises(MemoryError, alloc)
self.assertRaises(MemoryError, alloc)
def test_format_subclass(self):
class S(str):
def __str__(self):
return '__str__ overridden'
s = S('xxx')
self.assertEqual("%s" % s, '__str__ overridden')
self.assertEqual("{}".format(s), '__str__ overridden')
# Test PyUnicode_FromFormat()
def test_from_format(self):
support.import_module('ctypes')
from ctypes import pythonapi, py_object, c_int
if sys.maxunicode == 65535:
name = "PyUnicodeUCS2_FromFormat"
else:
name = "PyUnicodeUCS4_FromFormat"
_PyUnicode_FromFormat = getattr(pythonapi, name)
_PyUnicode_FromFormat.restype = py_object
def PyUnicode_FromFormat(format, *args):
cargs = tuple(
py_object(arg) if isinstance(arg, str) else arg
for arg in args)
return _PyUnicode_FromFormat(format, *cargs)
# ascii format, non-ascii argument
text = PyUnicode_FromFormat(b'ascii\x7f=%U', 'unicode\xe9')
self.assertEqual(text, 'ascii\x7f=unicode\xe9')
# non-ascii format, ascii argument: ensure that PyUnicode_FromFormatV()
# raises an error
self.assertRaisesRegex(ValueError,
'^PyUnicode_FromFormatV\(\) expects an ASCII-encoded format '
'string, got a non-ASCII byte: 0xe9$',
PyUnicode_FromFormat, b'unicode\xe9=%s', 'ascii')
self.assertEqual(PyUnicode_FromFormat(b'%c', c_int(0xabcd)), '\uabcd')
self.assertEqual(PyUnicode_FromFormat(b'%c', c_int(0x10ffff)), '\U0010ffff')
# other tests
text = PyUnicode_FromFormat(b'%%A:%A', 'abc\xe9\uabcd\U0010ffff')
self.assertEqual(text, r"%A:'abc\xe9\uabcd\U0010ffff'")
text = PyUnicode_FromFormat(b'repr=%V', 'abc', b'xyz')
self.assertEqual(text, 'repr=abc')
# Test string decode from parameter of %s using utf-8.
# b'\xe4\xba\xba\xe6\xb0\x91' is utf-8 encoded byte sequence of
# '\u4eba\u6c11'
text = PyUnicode_FromFormat(b'repr=%V', None, b'\xe4\xba\xba\xe6\xb0\x91')
self.assertEqual(text, 'repr=\u4eba\u6c11')
#Test replace error handler.
text = PyUnicode_FromFormat(b'repr=%V', None, b'abc\xff')
self.assertEqual(text, 'repr=abc\ufffd')
# Test PyUnicode_AsWideChar()
def test_aswidechar(self):
from _testcapi import unicode_aswidechar
support.import_module('ctypes')
from ctypes import c_wchar, sizeof
wchar, size = unicode_aswidechar('abcdef', 2)
self.assertEqual(size, 2)
self.assertEqual(wchar, 'ab')
wchar, size = unicode_aswidechar('abc', 3)
self.assertEqual(size, 3)
self.assertEqual(wchar, 'abc')
wchar, size = unicode_aswidechar('abc', 4)
self.assertEqual(size, 3)
self.assertEqual(wchar, 'abc\0')
wchar, size = unicode_aswidechar('abc', 10)
self.assertEqual(size, 3)
self.assertEqual(wchar, 'abc\0')
wchar, size = unicode_aswidechar('abc\0def', 20)
self.assertEqual(size, 7)
self.assertEqual(wchar, 'abc\0def\0')
nonbmp = chr(0x10ffff)
if sizeof(c_wchar) == 2:
buflen = 3
nchar = 2
else: # sizeof(c_wchar) == 4
buflen = 2
nchar = 1
wchar, size = unicode_aswidechar(nonbmp, buflen)
self.assertEqual(size, nchar)
self.assertEqual(wchar, nonbmp + '\0')
# Test PyUnicode_AsWideCharString()
def test_aswidecharstring(self):
from _testcapi import unicode_aswidecharstring
support.import_module('ctypes')
from ctypes import c_wchar, sizeof
wchar, size = unicode_aswidecharstring('abc')
self.assertEqual(size, 3)
self.assertEqual(wchar, 'abc\0')
wchar, size = unicode_aswidecharstring('abc\0def')
self.assertEqual(size, 7)
self.assertEqual(wchar, 'abc\0def\0')
nonbmp = chr(0x10ffff)
if sizeof(c_wchar) == 2:
nchar = 2
else: # sizeof(c_wchar) == 4
nchar = 1
wchar, size = unicode_aswidecharstring(nonbmp)
self.assertEqual(size, nchar)
self.assertEqual(wchar, nonbmp + '\0')
class StringModuleTest(unittest.TestCase):
def test_formatter_parser(self):
def parse(format):
return list(_string.formatter_parser(format))
formatter = parse("prefix {2!s}xxx{0:^+10.3f}{obj.attr!s} {z[0]!s:10}")
self.assertEqual(formatter, [
('prefix ', '2', '', 's'),
('xxx', '0', '^+10.3f', None),
('', 'obj.attr', '', 's'),
(' ', 'z[0]', '10', 's'),
])
formatter = parse("prefix {} suffix")
self.assertEqual(formatter, [
('prefix ', '', '', None),
(' suffix', None, None, None),
])
formatter = parse("str")
self.assertEqual(formatter, [
('str', None, None, None),
])
formatter = parse("")
self.assertEqual(formatter, [])
formatter = parse("{0}")
self.assertEqual(formatter, [
('', '0', '', None),
])
self.assertRaises(TypeError, _string.formatter_parser, 1)
def test_formatter_field_name_split(self):
def split(name):
items = list(_string.formatter_field_name_split(name))
items[1] = list(items[1])
return items
self.assertEqual(split("obj"), ["obj", []])
self.assertEqual(split("obj.arg"), ["obj", [(True, 'arg')]])
self.assertEqual(split("obj[key]"), ["obj", [(False, 'key')]])
self.assertEqual(split("obj.arg[key1][key2]"), [
"obj",
[(True, 'arg'),
(False, 'key1'),
(False, 'key2'),
]])
self.assertRaises(TypeError, _string.formatter_field_name_split, 1)
def test_main():
support.run_unittest(__name__)
if __name__ == "__main__":
test_main()
|
apache-2.0
|
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Stackato-Apps/pinry
|
pinry/core/migrations/0001_initial.py
|
3
|
1615
|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import taggit.managers
class Migration(migrations.Migration):
dependencies = [
('taggit', '0002_auto_20150616_2121'),
('users', '__first__'),
('django_images', '__first__'),
]
operations = [
migrations.CreateModel(
name='Pin',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('url', models.URLField(null=True)),
('origin', models.URLField(null=True)),
('description', models.TextField(null=True, blank=True)),
('published', models.DateTimeField(auto_now_add=True)),
],
),
migrations.CreateModel(
name='Image',
fields=[
],
options={
'proxy': True,
},
bases=('django_images.image',),
),
migrations.AddField(
model_name='pin',
name='image',
field=models.ForeignKey(related_name='pin', to='core.Image'),
),
migrations.AddField(
model_name='pin',
name='submitter',
field=models.ForeignKey(to='users.User'),
),
migrations.AddField(
model_name='pin',
name='tags',
field=taggit.managers.TaggableManager(to='taggit.Tag', through='taggit.TaggedItem', help_text='A comma-separated list of tags.', verbose_name='Tags'),
),
]
|
bsd-2-clause
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bravo-zhang/spark
|
examples/src/main/python/mllib/sampled_rdds.py
|
51
|
3224
|
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""
Randomly sampled RDDs.
"""
from __future__ import print_function
import sys
from pyspark import SparkContext
from pyspark.mllib.util import MLUtils
if __name__ == "__main__":
if len(sys.argv) not in [1, 2]:
print("Usage: sampled_rdds <libsvm data file>", file=sys.stderr)
sys.exit(-1)
if len(sys.argv) == 2:
datapath = sys.argv[1]
else:
datapath = 'data/mllib/sample_binary_classification_data.txt'
sc = SparkContext(appName="PythonSampledRDDs")
fraction = 0.1 # fraction of data to sample
examples = MLUtils.loadLibSVMFile(sc, datapath)
numExamples = examples.count()
if numExamples == 0:
print("Error: Data file had no samples to load.", file=sys.stderr)
sys.exit(1)
print('Loaded data with %d examples from file: %s' % (numExamples, datapath))
# Example: RDD.sample() and RDD.takeSample()
expectedSampleSize = int(numExamples * fraction)
print('Sampling RDD using fraction %g. Expected sample size = %d.'
% (fraction, expectedSampleSize))
sampledRDD = examples.sample(withReplacement=True, fraction=fraction)
print(' RDD.sample(): sample has %d examples' % sampledRDD.count())
sampledArray = examples.takeSample(withReplacement=True, num=expectedSampleSize)
print(' RDD.takeSample(): sample has %d examples' % len(sampledArray))
print()
# Example: RDD.sampleByKey()
keyedRDD = examples.map(lambda lp: (int(lp.label), lp.features))
print(' Keyed data using label (Int) as key ==> Orig')
# Count examples per label in original data.
keyCountsA = keyedRDD.countByKey()
# Subsample, and count examples per label in sampled data.
fractions = {}
for k in keyCountsA.keys():
fractions[k] = fraction
sampledByKeyRDD = keyedRDD.sampleByKey(withReplacement=True, fractions=fractions)
keyCountsB = sampledByKeyRDD.countByKey()
sizeB = sum(keyCountsB.values())
print(' Sampled %d examples using approximate stratified sampling (by label). ==> Sample'
% sizeB)
# Compare samples
print(' \tFractions of examples with key')
print('Key\tOrig\tSample')
for k in sorted(keyCountsA.keys()):
fracA = keyCountsA[k] / float(numExamples)
if sizeB != 0:
fracB = keyCountsB.get(k, 0) / float(sizeB)
else:
fracB = 0
print('%d\t%g\t%g' % (k, fracA, fracB))
sc.stop()
|
apache-2.0
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xinhunbie/NS3-
|
src/mesh/bindings/callbacks_list.py
|
16
|
2441
|
callback_classes = [
['void', 'ns3::Mac48Address', 'ns3::Mac48Address', 'unsigned int', 'bool', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty'],
['void', 'unsigned int', 'ns3::Mac48Address', 'ns3::Mac48Address', 'ns3::dot11s::PeerLink::PeerState', 'ns3::dot11s::PeerLink::PeerState', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty'],
['std::vector<ns3::Mac48Address, std::allocator<ns3::Mac48Address> >', 'unsigned int', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty'],
['void', 'bool', 'ns3::Ptr<ns3::Packet>', 'ns3::Mac48Address', 'ns3::Mac48Address', 'unsigned short', 'unsigned int', 'ns3::empty', 'ns3::empty', 'ns3::empty'],
['unsigned int', 'ns3::Mac48Address', 'ns3::Ptr<ns3::MeshWifiInterfaceMac>', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty'],
['void', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty'],
['void', 'ns3::WifiMacHeader const&', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty'],
['void', 'ns3::Ptr<ns3::Packet>', 'ns3::Mac48Address', 'ns3::Mac48Address', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty'],
['void', 'ns3::Mac48Address', 'unsigned char', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty'],
['void', 'ns3::Mac48Address', 'unsigned char', 'bool', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty'],
['void', 'ns3::Ptr<ns3::NetDevice>', 'ns3::Ptr<ns3::Packet const>', 'unsigned short', 'ns3::Address const&', 'ns3::Address const&', 'ns3::NetDevice::PacketType', 'ns3::empty', 'ns3::empty', 'ns3::empty'],
['bool', 'ns3::Ptr<ns3::NetDevice>', 'ns3::Ptr<ns3::Packet const>', 'unsigned short', 'ns3::Address const&', 'ns3::Address const&', 'ns3::NetDevice::PacketType', 'ns3::empty', 'ns3::empty', 'ns3::empty'],
['bool', 'ns3::Ptr<ns3::NetDevice>', 'ns3::Ptr<ns3::Packet const>', 'unsigned short', 'ns3::Address const&', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty'],
['unsigned char', 'ns3::Ptr<ns3::QueueItem>', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty', 'ns3::empty'],
]
|
gpl-2.0
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swails/mdtraj
|
mdtraj/tests/test_lprmsd.py
|
9
|
3770
|
from __future__ import print_function
import numpy as np
import mdtraj as md
from mdtraj.testing import eq, get_fn
from mdtraj import Trajectory, lprmsd
from mdtraj._lprmsd import _munkres
from mdtraj.utils import rotation_matrix_from_quaternion, uniform_quaternion
random = np.random.RandomState(0)
def test_munkres_0():
result = _munkres(np.array([[7, 4, 3], [6, 8, 5], [9, 4, 4]], dtype=np.double))
true = np.array([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]], dtype=np.int32)
eq(result, true)
def test_lprmsd_0():
# remap a permutation of all the atoms with no rotation
ref = random.randn(1, 10, 3).astype(np.float32)
mapping = random.permutation(10)
print('true mapping', mapping)
new = ref[:, mapping]
value = lprmsd(Trajectory(xyz=new, topology=None), Trajectory(xyz=ref, topology=None))
eq(value, np.array([0.0], dtype=np.float32), decimal=3)
def test_lprmsd_1():
# resolve a random rotation with no permutation
ref = random.randn(1, 50, 3).astype(np.float32)
mapping = np.arange(50)
rot = rotation_matrix_from_quaternion(uniform_quaternion())
new = ref[:, mapping].dot(rot)
value = lprmsd(Trajectory(xyz=new, topology=None), Trajectory(xyz=ref, topology=None), permute_groups=[[]])
assert value[0] < 1e-2
def test_lprmsd_2():
# resolve a random rotation with some permutation
ref = random.randn(1, 50, 3).astype(np.float32)
# first half of the atoms can permute, last 10 are fixed permutation
mapping = np.concatenate((random.permutation(10), 10 + np.arange(40)))
rot = rotation_matrix_from_quaternion(uniform_quaternion())
new = ref[:, mapping].dot(rot)
value = lprmsd(Trajectory(xyz=new, topology=None), Trajectory(xyz=ref, topology=None), permute_groups=[np.arange(10)])
assert value[0] < 1e-2
def test_lprmsd_3():
# resolve rotation and permutation togetehr
t1 = md.load(get_fn('alanine-dipeptide-explicit.pdb'))[0]
t2 = md.load(get_fn('alanine-dipeptide-explicit.pdb'))[0]
h2o_o_indices = [a.index for a in t1.topology.atoms if a.residue.name == 'HOH' and a.element.symbol == 'O'][0:20]
h2o_h_indices = [a.index for a in t1.topology.atoms if a.residue.name == 'HOH' and a.element.symbol == 'H'][0:20]
backbone_indices = [a.index for a in t1.topology.atoms if a.element.symbol in ['C', 'N']][:5]
# scramble two groups of indices
t2.xyz[:, random.permutation(h2o_o_indices)] = t2.xyz[:, h2o_o_indices]
t2.xyz[:, random.permutation(h2o_h_indices)] = t2.xyz[:, h2o_h_indices]
# offset the backbone indices slightly
t2.xyz[:, backbone_indices] += 0.001 * random.randn(len(backbone_indices), 3)
# rotate everything
rot = rotation_matrix_from_quaternion(uniform_quaternion())
t2.xyz[0].dot(rot)
print('raw distinguishable indices', backbone_indices)
atom_indices = np.concatenate((h2o_o_indices, backbone_indices))
value = md.lprmsd(t2, t1, atom_indices=atom_indices, permute_groups=[h2o_o_indices])
t1.xyz[:, h2o_o_indices] += random.randn(len(h2o_o_indices), 3)
print('final value', value)
assert value[0] < 1e-2
def test_lprmsd_4():
t1 = md.load(get_fn('1bpi.pdb'))
t1.xyz += 0.05 * random.randn(t1.n_frames, t1.n_atoms, 3)
t2 = md.load(get_fn('1bpi.pdb'))
# some random indices
indices = random.permutation(t1.n_atoms)[:t1.n_atoms-5]
got = md.lprmsd(t2, t1, atom_indices=indices, permute_groups=[[]])
ref = md.rmsd(t2, t1, atom_indices=indices)
eq(got, ref, decimal=3)
def test_lprmsd_5():
t = md.load(get_fn('frame0.h5'))
t1 = md.load(get_fn('frame0.h5'))
r = md.rmsd(t, t1, 0)
a = md.lprmsd(t, t1, 0, permute_groups=[[]], superpose=True)
eq(a, r, decimal=3)
|
lgpl-2.1
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] |
MichaelNedzelsky/intellij-community
|
python/lib/Lib/site-packages/django/contrib/gis/utils/layermapping.py
|
157
|
27065
|
# LayerMapping -- A Django Model/OGR Layer Mapping Utility
"""
The LayerMapping class provides a way to map the contents of OGR
vector files (e.g. SHP files) to Geographic-enabled Django models.
For more information, please consult the GeoDjango documentation:
http://geodjango.org/docs/layermapping.html
"""
import sys
from datetime import date, datetime
from decimal import Decimal
from django.core.exceptions import ObjectDoesNotExist
from django.db import connections, DEFAULT_DB_ALIAS
from django.contrib.gis.db.models import GeometryField
from django.contrib.gis.gdal import CoordTransform, DataSource, \
OGRException, OGRGeometry, OGRGeomType, SpatialReference
from django.contrib.gis.gdal.field import \
OFTDate, OFTDateTime, OFTInteger, OFTReal, OFTString, OFTTime
from django.db import models, transaction
from django.contrib.localflavor.us.models import USStateField
# LayerMapping exceptions.
class LayerMapError(Exception): pass
class InvalidString(LayerMapError): pass
class InvalidDecimal(LayerMapError): pass
class InvalidInteger(LayerMapError): pass
class MissingForeignKey(LayerMapError): pass
class LayerMapping(object):
"A class that maps OGR Layers to GeoDjango Models."
# Acceptable 'base' types for a multi-geometry type.
MULTI_TYPES = {1 : OGRGeomType('MultiPoint'),
2 : OGRGeomType('MultiLineString'),
3 : OGRGeomType('MultiPolygon'),
OGRGeomType('Point25D').num : OGRGeomType('MultiPoint25D'),
OGRGeomType('LineString25D').num : OGRGeomType('MultiLineString25D'),
OGRGeomType('Polygon25D').num : OGRGeomType('MultiPolygon25D'),
}
# Acceptable Django field types and corresponding acceptable OGR
# counterparts.
FIELD_TYPES = {
models.AutoField : OFTInteger,
models.IntegerField : (OFTInteger, OFTReal, OFTString),
models.FloatField : (OFTInteger, OFTReal),
models.DateField : OFTDate,
models.DateTimeField : OFTDateTime,
models.EmailField : OFTString,
models.TimeField : OFTTime,
models.DecimalField : (OFTInteger, OFTReal),
models.CharField : OFTString,
models.SlugField : OFTString,
models.TextField : OFTString,
models.URLField : OFTString,
USStateField : OFTString,
models.XMLField : OFTString,
models.SmallIntegerField : (OFTInteger, OFTReal, OFTString),
models.PositiveSmallIntegerField : (OFTInteger, OFTReal, OFTString),
}
# The acceptable transaction modes.
TRANSACTION_MODES = {'autocommit' : transaction.autocommit,
'commit_on_success' : transaction.commit_on_success,
}
def __init__(self, model, data, mapping, layer=0,
source_srs=None, encoding=None,
transaction_mode='commit_on_success',
transform=True, unique=None, using=DEFAULT_DB_ALIAS):
"""
A LayerMapping object is initialized using the given Model (not an instance),
a DataSource (or string path to an OGR-supported data file), and a mapping
dictionary. See the module level docstring for more details and keyword
argument usage.
"""
# Getting the DataSource and the associated Layer.
if isinstance(data, basestring):
self.ds = DataSource(data)
else:
self.ds = data
self.layer = self.ds[layer]
self.using = using
self.spatial_backend = connections[using].ops
# Setting the mapping & model attributes.
self.mapping = mapping
self.model = model
# Checking the layer -- intitialization of the object will fail if
# things don't check out before hand.
self.check_layer()
# Getting the geometry column associated with the model (an
# exception will be raised if there is no geometry column).
if self.spatial_backend.mysql:
transform = False
else:
self.geo_field = self.geometry_field()
# Checking the source spatial reference system, and getting
# the coordinate transformation object (unless the `transform`
# keyword is set to False)
if transform:
self.source_srs = self.check_srs(source_srs)
self.transform = self.coord_transform()
else:
self.transform = transform
# Setting the encoding for OFTString fields, if specified.
if encoding:
# Making sure the encoding exists, if not a LookupError
# exception will be thrown.
from codecs import lookup
lookup(encoding)
self.encoding = encoding
else:
self.encoding = None
if unique:
self.check_unique(unique)
transaction_mode = 'autocommit' # Has to be set to autocommit.
self.unique = unique
else:
self.unique = None
# Setting the transaction decorator with the function in the
# transaction modes dictionary.
if transaction_mode in self.TRANSACTION_MODES:
self.transaction_decorator = self.TRANSACTION_MODES[transaction_mode]
self.transaction_mode = transaction_mode
else:
raise LayerMapError('Unrecognized transaction mode: %s' % transaction_mode)
if using is None:
pass
#### Checking routines used during initialization ####
def check_fid_range(self, fid_range):
"This checks the `fid_range` keyword."
if fid_range:
if isinstance(fid_range, (tuple, list)):
return slice(*fid_range)
elif isinstance(fid_range, slice):
return fid_range
else:
raise TypeError
else:
return None
def check_layer(self):
"""
This checks the Layer metadata, and ensures that it is compatible
with the mapping information and model. Unlike previous revisions,
there is no need to increment through each feature in the Layer.
"""
# The geometry field of the model is set here.
# TODO: Support more than one geometry field / model. However, this
# depends on the GDAL Driver in use.
self.geom_field = False
self.fields = {}
# Getting lists of the field names and the field types available in
# the OGR Layer.
ogr_fields = self.layer.fields
ogr_field_types = self.layer.field_types
# Function for determining if the OGR mapping field is in the Layer.
def check_ogr_fld(ogr_map_fld):
try:
idx = ogr_fields.index(ogr_map_fld)
except ValueError:
raise LayerMapError('Given mapping OGR field "%s" not found in OGR Layer.' % ogr_map_fld)
return idx
# No need to increment through each feature in the model, simply check
# the Layer metadata against what was given in the mapping dictionary.
for field_name, ogr_name in self.mapping.items():
# Ensuring that a corresponding field exists in the model
# for the given field name in the mapping.
try:
model_field = self.model._meta.get_field(field_name)
except models.fields.FieldDoesNotExist:
raise LayerMapError('Given mapping field "%s" not in given Model fields.' % field_name)
# Getting the string name for the Django field class (e.g., 'PointField').
fld_name = model_field.__class__.__name__
if isinstance(model_field, GeometryField):
if self.geom_field:
raise LayerMapError('LayerMapping does not support more than one GeometryField per model.')
# Getting the coordinate dimension of the geometry field.
coord_dim = model_field.dim
try:
if coord_dim == 3:
gtype = OGRGeomType(ogr_name + '25D')
else:
gtype = OGRGeomType(ogr_name)
except OGRException:
raise LayerMapError('Invalid mapping for GeometryField "%s".' % field_name)
# Making sure that the OGR Layer's Geometry is compatible.
ltype = self.layer.geom_type
if not (ltype.name.startswith(gtype.name) or self.make_multi(ltype, model_field)):
raise LayerMapError('Invalid mapping geometry; model has %s%s, '
'layer geometry type is %s.' %
(fld_name, (coord_dim == 3 and '(dim=3)') or '', ltype))
# Setting the `geom_field` attribute w/the name of the model field
# that is a Geometry. Also setting the coordinate dimension
# attribute.
self.geom_field = field_name
self.coord_dim = coord_dim
fields_val = model_field
elif isinstance(model_field, models.ForeignKey):
if isinstance(ogr_name, dict):
# Is every given related model mapping field in the Layer?
rel_model = model_field.rel.to
for rel_name, ogr_field in ogr_name.items():
idx = check_ogr_fld(ogr_field)
try:
rel_field = rel_model._meta.get_field(rel_name)
except models.fields.FieldDoesNotExist:
raise LayerMapError('ForeignKey mapping field "%s" not in %s fields.' %
(rel_name, rel_model.__class__.__name__))
fields_val = rel_model
else:
raise TypeError('ForeignKey mapping must be of dictionary type.')
else:
# Is the model field type supported by LayerMapping?
if not model_field.__class__ in self.FIELD_TYPES:
raise LayerMapError('Django field type "%s" has no OGR mapping (yet).' % fld_name)
# Is the OGR field in the Layer?
idx = check_ogr_fld(ogr_name)
ogr_field = ogr_field_types[idx]
# Can the OGR field type be mapped to the Django field type?
if not issubclass(ogr_field, self.FIELD_TYPES[model_field.__class__]):
raise LayerMapError('OGR field "%s" (of type %s) cannot be mapped to Django %s.' %
(ogr_field, ogr_field.__name__, fld_name))
fields_val = model_field
self.fields[field_name] = fields_val
def check_srs(self, source_srs):
"Checks the compatibility of the given spatial reference object."
if isinstance(source_srs, SpatialReference):
sr = source_srs
elif isinstance(source_srs, self.spatial_backend.spatial_ref_sys()):
sr = source_srs.srs
elif isinstance(source_srs, (int, basestring)):
sr = SpatialReference(source_srs)
else:
# Otherwise just pulling the SpatialReference from the layer
sr = self.layer.srs
if not sr:
raise LayerMapError('No source reference system defined.')
else:
return sr
def check_unique(self, unique):
"Checks the `unique` keyword parameter -- may be a sequence or string."
if isinstance(unique, (list, tuple)):
# List of fields to determine uniqueness with
for attr in unique:
if not attr in self.mapping: raise ValueError
elif isinstance(unique, basestring):
# Only a single field passed in.
if unique not in self.mapping: raise ValueError
else:
raise TypeError('Unique keyword argument must be set with a tuple, list, or string.')
#### Keyword argument retrieval routines ####
def feature_kwargs(self, feat):
"""
Given an OGR Feature, this will return a dictionary of keyword arguments
for constructing the mapped model.
"""
# The keyword arguments for model construction.
kwargs = {}
# Incrementing through each model field and OGR field in the
# dictionary mapping.
for field_name, ogr_name in self.mapping.items():
model_field = self.fields[field_name]
if isinstance(model_field, GeometryField):
# Verify OGR geometry.
val = self.verify_geom(feat.geom, model_field)
elif isinstance(model_field, models.base.ModelBase):
# The related _model_, not a field was passed in -- indicating
# another mapping for the related Model.
val = self.verify_fk(feat, model_field, ogr_name)
else:
# Otherwise, verify OGR Field type.
val = self.verify_ogr_field(feat[ogr_name], model_field)
# Setting the keyword arguments for the field name with the
# value obtained above.
kwargs[field_name] = val
return kwargs
def unique_kwargs(self, kwargs):
"""
Given the feature keyword arguments (from `feature_kwargs`) this routine
will construct and return the uniqueness keyword arguments -- a subset
of the feature kwargs.
"""
if isinstance(self.unique, basestring):
return {self.unique : kwargs[self.unique]}
else:
return dict((fld, kwargs[fld]) for fld in self.unique)
#### Verification routines used in constructing model keyword arguments. ####
def verify_ogr_field(self, ogr_field, model_field):
"""
Verifies if the OGR Field contents are acceptable to the Django
model field. If they are, the verified value is returned,
otherwise the proper exception is raised.
"""
if (isinstance(ogr_field, OFTString) and
isinstance(model_field, (models.CharField, models.TextField))):
if self.encoding:
# The encoding for OGR data sources may be specified here
# (e.g., 'cp437' for Census Bureau boundary files).
val = unicode(ogr_field.value, self.encoding)
else:
val = ogr_field.value
if len(val) > model_field.max_length:
raise InvalidString('%s model field maximum string length is %s, given %s characters.' %
(model_field.name, model_field.max_length, len(val)))
elif isinstance(ogr_field, OFTReal) and isinstance(model_field, models.DecimalField):
try:
# Creating an instance of the Decimal value to use.
d = Decimal(str(ogr_field.value))
except:
raise InvalidDecimal('Could not construct decimal from: %s' % ogr_field.value)
# Getting the decimal value as a tuple.
dtup = d.as_tuple()
digits = dtup[1]
d_idx = dtup[2] # index where the decimal is
# Maximum amount of precision, or digits to the left of the decimal.
max_prec = model_field.max_digits - model_field.decimal_places
# Getting the digits to the left of the decimal place for the
# given decimal.
if d_idx < 0:
n_prec = len(digits[:d_idx])
else:
n_prec = len(digits) + d_idx
# If we have more than the maximum digits allowed, then throw an
# InvalidDecimal exception.
if n_prec > max_prec:
raise InvalidDecimal('A DecimalField with max_digits %d, decimal_places %d must round to an absolute value less than 10^%d.' %
(model_field.max_digits, model_field.decimal_places, max_prec))
val = d
elif isinstance(ogr_field, (OFTReal, OFTString)) and isinstance(model_field, models.IntegerField):
# Attempt to convert any OFTReal and OFTString value to an OFTInteger.
try:
val = int(ogr_field.value)
except:
raise InvalidInteger('Could not construct integer from: %s' % ogr_field.value)
else:
val = ogr_field.value
return val
def verify_fk(self, feat, rel_model, rel_mapping):
"""
Given an OGR Feature, the related model and its dictionary mapping,
this routine will retrieve the related model for the ForeignKey
mapping.
"""
# TODO: It is expensive to retrieve a model for every record --
# explore if an efficient mechanism exists for caching related
# ForeignKey models.
# Constructing and verifying the related model keyword arguments.
fk_kwargs = {}
for field_name, ogr_name in rel_mapping.items():
fk_kwargs[field_name] = self.verify_ogr_field(feat[ogr_name], rel_model._meta.get_field(field_name))
# Attempting to retrieve and return the related model.
try:
return rel_model.objects.get(**fk_kwargs)
except ObjectDoesNotExist:
raise MissingForeignKey('No ForeignKey %s model found with keyword arguments: %s' % (rel_model.__name__, fk_kwargs))
def verify_geom(self, geom, model_field):
"""
Verifies the geometry -- will construct and return a GeometryCollection
if necessary (for example if the model field is MultiPolygonField while
the mapped shapefile only contains Polygons).
"""
# Downgrade a 3D geom to a 2D one, if necessary.
if self.coord_dim != geom.coord_dim:
geom.coord_dim = self.coord_dim
if self.make_multi(geom.geom_type, model_field):
# Constructing a multi-geometry type to contain the single geometry
multi_type = self.MULTI_TYPES[geom.geom_type.num]
g = OGRGeometry(multi_type)
g.add(geom)
else:
g = geom
# Transforming the geometry with our Coordinate Transformation object,
# but only if the class variable `transform` is set w/a CoordTransform
# object.
if self.transform: g.transform(self.transform)
# Returning the WKT of the geometry.
return g.wkt
#### Other model methods ####
def coord_transform(self):
"Returns the coordinate transformation object."
SpatialRefSys = self.spatial_backend.spatial_ref_sys()
try:
# Getting the target spatial reference system
target_srs = SpatialRefSys.objects.get(srid=self.geo_field.srid).srs
# Creating the CoordTransform object
return CoordTransform(self.source_srs, target_srs)
except Exception, msg:
raise LayerMapError('Could not translate between the data source and model geometry: %s' % msg)
def geometry_field(self):
"Returns the GeometryField instance associated with the geographic column."
# Use the `get_field_by_name` on the model's options so that we
# get the correct field instance if there's model inheritance.
opts = self.model._meta
fld, model, direct, m2m = opts.get_field_by_name(self.geom_field)
return fld
def make_multi(self, geom_type, model_field):
"""
Given the OGRGeomType for a geometry and its associated GeometryField,
determine whether the geometry should be turned into a GeometryCollection.
"""
return (geom_type.num in self.MULTI_TYPES and
model_field.__class__.__name__ == 'Multi%s' % geom_type.django)
def save(self, verbose=False, fid_range=False, step=False,
progress=False, silent=False, stream=sys.stdout, strict=False):
"""
Saves the contents from the OGR DataSource Layer into the database
according to the mapping dictionary given at initialization.
Keyword Parameters:
verbose:
If set, information will be printed subsequent to each model save
executed on the database.
fid_range:
May be set with a slice or tuple of (begin, end) feature ID's to map
from the data source. In other words, this keyword enables the user
to selectively import a subset range of features in the geographic
data source.
step:
If set with an integer, transactions will occur at every step
interval. For example, if step=1000, a commit would occur after
the 1,000th feature, the 2,000th feature etc.
progress:
When this keyword is set, status information will be printed giving
the number of features processed and sucessfully saved. By default,
progress information will pe printed every 1000 features processed,
however, this default may be overridden by setting this keyword with an
integer for the desired interval.
stream:
Status information will be written to this file handle. Defaults to
using `sys.stdout`, but any object with a `write` method is supported.
silent:
By default, non-fatal error notifications are printed to stdout, but
this keyword may be set to disable these notifications.
strict:
Execution of the model mapping will cease upon the first error
encountered. The default behavior is to attempt to continue.
"""
# Getting the default Feature ID range.
default_range = self.check_fid_range(fid_range)
# Setting the progress interval, if requested.
if progress:
if progress is True or not isinstance(progress, int):
progress_interval = 1000
else:
progress_interval = progress
# Defining the 'real' save method, utilizing the transaction
# decorator created during initialization.
@self.transaction_decorator
def _save(feat_range=default_range, num_feat=0, num_saved=0):
if feat_range:
layer_iter = self.layer[feat_range]
else:
layer_iter = self.layer
for feat in layer_iter:
num_feat += 1
# Getting the keyword arguments
try:
kwargs = self.feature_kwargs(feat)
except LayerMapError, msg:
# Something borked the validation
if strict: raise
elif not silent:
stream.write('Ignoring Feature ID %s because: %s\n' % (feat.fid, msg))
else:
# Constructing the model using the keyword args
is_update = False
if self.unique:
# If we want unique models on a particular field, handle the
# geometry appropriately.
try:
# Getting the keyword arguments and retrieving
# the unique model.
u_kwargs = self.unique_kwargs(kwargs)
m = self.model.objects.using(self.using).get(**u_kwargs)
is_update = True
# Getting the geometry (in OGR form), creating
# one from the kwargs WKT, adding in additional
# geometries, and update the attribute with the
# just-updated geometry WKT.
geom = getattr(m, self.geom_field).ogr
new = OGRGeometry(kwargs[self.geom_field])
for g in new: geom.add(g)
setattr(m, self.geom_field, geom.wkt)
except ObjectDoesNotExist:
# No unique model exists yet, create.
m = self.model(**kwargs)
else:
m = self.model(**kwargs)
try:
# Attempting to save.
m.save(using=self.using)
num_saved += 1
if verbose: stream.write('%s: %s\n' % (is_update and 'Updated' or 'Saved', m))
except SystemExit:
raise
except Exception, msg:
if self.transaction_mode == 'autocommit':
# Rolling back the transaction so that other model saves
# will work.
transaction.rollback_unless_managed()
if strict:
# Bailing out if the `strict` keyword is set.
if not silent:
stream.write('Failed to save the feature (id: %s) into the model with the keyword arguments:\n' % feat.fid)
stream.write('%s\n' % kwargs)
raise
elif not silent:
stream.write('Failed to save %s:\n %s\nContinuing\n' % (kwargs, msg))
# Printing progress information, if requested.
if progress and num_feat % progress_interval == 0:
stream.write('Processed %d features, saved %d ...\n' % (num_feat, num_saved))
# Only used for status output purposes -- incremental saving uses the
# values returned here.
return num_saved, num_feat
nfeat = self.layer.num_feat
if step and isinstance(step, int) and step < nfeat:
# Incremental saving is requested at the given interval (step)
if default_range:
raise LayerMapError('The `step` keyword may not be used in conjunction with the `fid_range` keyword.')
beg, num_feat, num_saved = (0, 0, 0)
indices = range(step, nfeat, step)
n_i = len(indices)
for i, end in enumerate(indices):
# Constructing the slice to use for this step; the last slice is
# special (e.g, [100:] instead of [90:100]).
if i+1 == n_i: step_slice = slice(beg, None)
else: step_slice = slice(beg, end)
try:
num_feat, num_saved = _save(step_slice, num_feat, num_saved)
beg = end
except:
stream.write('%s\nFailed to save slice: %s\n' % ('=-' * 20, step_slice))
raise
else:
# Otherwise, just calling the previously defined _save() function.
_save()
|
apache-2.0
|
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harmy/kbengine
|
kbe/res/scripts/common/Lib/sqlite3/__init__.py
|
7
|
1041
|
# pysqlite2/__init__.py: the pysqlite2 package.
#
# Copyright (C) 2005 Gerhard Häring <gh@ghaering.de>
#
# This file is part of pysqlite.
#
# This software is provided 'as-is', without any express or implied
# warranty. In no event will the authors be held liable for any damages
# arising from the use of this software.
#
# Permission is granted to anyone to use this software for any purpose,
# including commercial applications, and to alter it and redistribute it
# freely, subject to the following restrictions:
#
# 1. The origin of this software must not be misrepresented; you must not
# claim that you wrote the original software. If you use this software
# in a product, an acknowledgment in the product documentation would be
# appreciated but is not required.
# 2. Altered source versions must be plainly marked as such, and must not be
# misrepresented as being the original software.
# 3. This notice may not be removed or altered from any source distribution.
from sqlite3.dbapi2 import *
|
lgpl-3.0
|
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] |
isyippee/nova
|
nova/tests/unit/scheduler/filters/test_core_filters.py
|
17
|
4514
|
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import mock
from nova.scheduler.filters import core_filter
from nova import test
from nova.tests.unit.scheduler import fakes
class TestCoreFilter(test.NoDBTestCase):
def test_core_filter_passes(self):
self.filt_cls = core_filter.CoreFilter()
filter_properties = {'instance_type': {'vcpus': 1}}
host = fakes.FakeHostState('host1', 'node1',
{'vcpus_total': 4, 'vcpus_used': 7,
'cpu_allocation_ratio': 2})
self.assertTrue(self.filt_cls.host_passes(host, filter_properties))
def test_core_filter_fails_safe(self):
self.filt_cls = core_filter.CoreFilter()
filter_properties = {'instance_type': {'vcpus': 1}}
host = fakes.FakeHostState('host1', 'node1', {})
self.assertTrue(self.filt_cls.host_passes(host, filter_properties))
def test_core_filter_fails(self):
self.filt_cls = core_filter.CoreFilter()
filter_properties = {'instance_type': {'vcpus': 1}}
host = fakes.FakeHostState('host1', 'node1',
{'vcpus_total': 4, 'vcpus_used': 8,
'cpu_allocation_ratio': 2})
self.assertFalse(self.filt_cls.host_passes(host, filter_properties))
def test_core_filter_single_instance_overcommit_fails(self):
self.filt_cls = core_filter.CoreFilter()
filter_properties = {'instance_type': {'vcpus': 2}}
host = fakes.FakeHostState('host1', 'node1',
{'vcpus_total': 1, 'vcpus_used': 0,
'cpu_allocation_ratio': 2})
self.assertFalse(self.filt_cls.host_passes(host, filter_properties))
@mock.patch('nova.scheduler.filters.utils.aggregate_values_from_key')
def test_aggregate_core_filter_value_error(self, agg_mock):
self.filt_cls = core_filter.AggregateCoreFilter()
filter_properties = {'context': mock.sentinel.ctx,
'instance_type': {'vcpus': 1}}
host = fakes.FakeHostState('host1', 'node1',
{'vcpus_total': 4, 'vcpus_used': 7,
'cpu_allocation_ratio': 2})
agg_mock.return_value = set(['XXX'])
self.assertTrue(self.filt_cls.host_passes(host, filter_properties))
agg_mock.assert_called_once_with(host, 'cpu_allocation_ratio')
self.assertEqual(4 * 2, host.limits['vcpu'])
@mock.patch('nova.scheduler.filters.utils.aggregate_values_from_key')
def test_aggregate_core_filter_default_value(self, agg_mock):
self.filt_cls = core_filter.AggregateCoreFilter()
filter_properties = {'context': mock.sentinel.ctx,
'instance_type': {'vcpus': 1}}
host = fakes.FakeHostState('host1', 'node1',
{'vcpus_total': 4, 'vcpus_used': 8,
'cpu_allocation_ratio': 2})
agg_mock.return_value = set([])
# False: fallback to default flag w/o aggregates
self.assertFalse(self.filt_cls.host_passes(host, filter_properties))
agg_mock.assert_called_once_with(host, 'cpu_allocation_ratio')
# True: use ratio from aggregates
agg_mock.return_value = set(['3'])
self.assertTrue(self.filt_cls.host_passes(host, filter_properties))
self.assertEqual(4 * 3, host.limits['vcpu'])
@mock.patch('nova.scheduler.filters.utils.aggregate_values_from_key')
def test_aggregate_core_filter_conflict_values(self, agg_mock):
self.filt_cls = core_filter.AggregateCoreFilter()
filter_properties = {'context': mock.sentinel.ctx,
'instance_type': {'vcpus': 1}}
host = fakes.FakeHostState('host1', 'node1',
{'vcpus_total': 4, 'vcpus_used': 8,
'cpu_allocation_ratio': 1})
agg_mock.return_value = set(['2', '3'])
# use the minimum ratio from aggregates
self.assertFalse(self.filt_cls.host_passes(host, filter_properties))
self.assertEqual(4 * 2, host.limits['vcpu'])
|
apache-2.0
|
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] |
skirsdeda/django
|
tests/validation/test_unique.py
|
62
|
7105
|
from __future__ import unicode_literals
import datetime
import unittest
from django.apps.registry import Apps
from django.core.exceptions import ValidationError
from django.db import models
from django.test import TestCase
from .models import (CustomPKModel, UniqueTogetherModel, UniqueFieldsModel,
UniqueForDateModel, ModelToValidate, Post, FlexibleDatePost,
UniqueErrorsModel)
class GetUniqueCheckTests(unittest.TestCase):
def test_unique_fields_get_collected(self):
m = UniqueFieldsModel()
self.assertEqual(
([(UniqueFieldsModel, ('id',)),
(UniqueFieldsModel, ('unique_charfield',)),
(UniqueFieldsModel, ('unique_integerfield',))],
[]),
m._get_unique_checks()
)
def test_unique_together_gets_picked_up_and_converted_to_tuple(self):
m = UniqueTogetherModel()
self.assertEqual(
([(UniqueTogetherModel, ('ifield', 'cfield')),
(UniqueTogetherModel, ('ifield', 'efield')),
(UniqueTogetherModel, ('id',)), ],
[]),
m._get_unique_checks()
)
def test_unique_together_normalization(self):
"""
Test the Meta.unique_together normalization with different sorts of
objects.
"""
data = {
'2-tuple': (('foo', 'bar'),
(('foo', 'bar'),)),
'list': (['foo', 'bar'],
(('foo', 'bar'),)),
'already normalized': ((('foo', 'bar'), ('bar', 'baz')),
(('foo', 'bar'), ('bar', 'baz'))),
'set': ({('foo', 'bar'), ('bar', 'baz')}, # Ref #21469
(('foo', 'bar'), ('bar', 'baz'))),
}
for test_name, (unique_together, normalized) in data.items():
class M(models.Model):
foo = models.IntegerField()
bar = models.IntegerField()
baz = models.IntegerField()
Meta = type(str('Meta'), (), {
'unique_together': unique_together,
'apps': Apps()
})
checks, _ = M()._get_unique_checks()
for t in normalized:
check = (M, t)
self.assertIn(check, checks)
def test_primary_key_is_considered_unique(self):
m = CustomPKModel()
self.assertEqual(([(CustomPKModel, ('my_pk_field',))], []), m._get_unique_checks())
def test_unique_for_date_gets_picked_up(self):
m = UniqueForDateModel()
self.assertEqual((
[(UniqueForDateModel, ('id',))],
[(UniqueForDateModel, 'date', 'count', 'start_date'),
(UniqueForDateModel, 'year', 'count', 'end_date'),
(UniqueForDateModel, 'month', 'order', 'end_date')]
), m._get_unique_checks()
)
def test_unique_for_date_exclusion(self):
m = UniqueForDateModel()
self.assertEqual((
[(UniqueForDateModel, ('id',))],
[(UniqueForDateModel, 'year', 'count', 'end_date'),
(UniqueForDateModel, 'month', 'order', 'end_date')]
), m._get_unique_checks(exclude='start_date')
)
class PerformUniqueChecksTest(TestCase):
def test_primary_key_unique_check_not_performed_when_adding_and_pk_not_specified(self):
# Regression test for #12560
with self.assertNumQueries(0):
mtv = ModelToValidate(number=10, name='Some Name')
setattr(mtv, '_adding', True)
mtv.full_clean()
def test_primary_key_unique_check_performed_when_adding_and_pk_specified(self):
# Regression test for #12560
with self.assertNumQueries(1):
mtv = ModelToValidate(number=10, name='Some Name', id=123)
setattr(mtv, '_adding', True)
mtv.full_clean()
def test_primary_key_unique_check_not_performed_when_not_adding(self):
# Regression test for #12132
with self.assertNumQueries(0):
mtv = ModelToValidate(number=10, name='Some Name')
mtv.full_clean()
def test_unique_for_date(self):
Post.objects.create(title="Django 1.0 is released",
slug="Django 1.0", subtitle="Finally", posted=datetime.date(2008, 9, 3))
p = Post(title="Django 1.0 is released", posted=datetime.date(2008, 9, 3))
with self.assertRaises(ValidationError) as cm:
p.full_clean()
self.assertEqual(cm.exception.message_dict, {'title': ['Title must be unique for Posted date.']})
# Should work without errors
p = Post(title="Work on Django 1.1 begins", posted=datetime.date(2008, 9, 3))
p.full_clean()
# Should work without errors
p = Post(title="Django 1.0 is released", posted=datetime.datetime(2008, 9, 4))
p.full_clean()
p = Post(slug="Django 1.0", posted=datetime.datetime(2008, 1, 1))
with self.assertRaises(ValidationError) as cm:
p.full_clean()
self.assertEqual(cm.exception.message_dict, {'slug': ['Slug must be unique for Posted year.']})
p = Post(subtitle="Finally", posted=datetime.datetime(2008, 9, 30))
with self.assertRaises(ValidationError) as cm:
p.full_clean()
self.assertEqual(cm.exception.message_dict, {'subtitle': ['Subtitle must be unique for Posted month.']})
p = Post(title="Django 1.0 is released")
with self.assertRaises(ValidationError) as cm:
p.full_clean()
self.assertEqual(cm.exception.message_dict, {'posted': ['This field cannot be null.']})
def test_unique_for_date_with_nullable_date(self):
FlexibleDatePost.objects.create(title="Django 1.0 is released",
slug="Django 1.0", subtitle="Finally", posted=datetime.date(2008, 9, 3))
p = FlexibleDatePost(title="Django 1.0 is released")
try:
p.full_clean()
except ValidationError:
self.fail("unique_for_date checks shouldn't trigger when the associated DateField is None.")
p = FlexibleDatePost(slug="Django 1.0")
try:
p.full_clean()
except ValidationError:
self.fail("unique_for_year checks shouldn't trigger when the associated DateField is None.")
p = FlexibleDatePost(subtitle="Finally")
try:
p.full_clean()
except ValidationError:
self.fail("unique_for_month checks shouldn't trigger when the associated DateField is None.")
def test_unique_errors(self):
UniqueErrorsModel.objects.create(name='Some Name', no=10)
m = UniqueErrorsModel(name='Some Name', no=11)
with self.assertRaises(ValidationError) as cm:
m.full_clean()
self.assertEqual(cm.exception.message_dict, {'name': ['Custom unique name message.']})
m = UniqueErrorsModel(name='Some Other Name', no=10)
with self.assertRaises(ValidationError) as cm:
m.full_clean()
self.assertEqual(cm.exception.message_dict, {'no': ['Custom unique number message.']})
|
bsd-3-clause
|
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] |
BIDXOM/buildroot
|
support/scripts/gen-manual-lists.py
|
77
|
20371
|
## gen-manual-lists.py
##
## This script generates the following Buildroot manual appendices:
## - the package tables (one for the target, the other for host tools);
## - the deprecated items.
##
## Author(s):
## - Samuel Martin <s.martin49@gmail.com>
##
## Copyright (C) 2013 Samuel Martin
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later version.
##
## This program is distributed in the hope that it will be useful,
## but WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
## GNU General Public License for more details.
##
## You should have received a copy of the GNU General Public License
## along with this program; if not, write to the Free Software
## Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
##
from __future__ import print_function
from __future__ import unicode_literals
import os
import re
import sys
import datetime
from argparse import ArgumentParser
try:
import kconfiglib
except ImportError:
message = """
Could not find the module 'kconfiglib' in the PYTHONPATH:
"""
message += "\n".join([" {0}".format(path) for path in sys.path])
message += """
Make sure the Kconfiglib directory is in the PYTHONPATH, then relaunch the
script.
You can get kconfiglib from:
https://github.com/ulfalizer/Kconfiglib
"""
sys.stderr.write(message)
raise
def get_symbol_subset(root, filter_func):
""" Return a generator of kconfig items.
:param root_item: Root item of the generated subset of items
:param filter_func: Filter function
"""
if hasattr(root, "get_items"):
get_items = root.get_items
elif hasattr(root, "get_top_level_items"):
get_items = root.get_top_level_items
else:
message = "The symbol does not contain any subset of symbols"
raise Exception(message)
for item in get_items():
if item.is_symbol():
if not filter_func(item):
continue
yield item
elif item.is_menu() or item.is_choice():
for i in get_symbol_subset(item, filter_func):
yield i
def get_symbol_parents(item, root=None, enable_choice=False):
""" Return the list of the item's parents. The last item of the list is
the closest parent, the first the furthest.
:param item: Item from which the parent list is generated
:param root: Root item stopping the search (not included in the
parent list)
:param enable_choice: Flag enabling choices to appear in the parent list
"""
parent = item.get_parent()
parents = []
while parent and parent != root:
if parent.is_menu():
parents.append(parent.get_title())
elif enable_choice and parent.is_choice():
parents.append(parent.get_prompts()[0])
parent = parent.get_parent()
if isinstance(root, kconfiglib.Menu) or \
(enable_choice and isinstance(root, kconfiglib.Choice)):
parents.append("") # Dummy empty parent to get a leading arrow ->
parents.reverse()
return parents
def format_asciidoc_table(root, get_label_func, filter_func=lambda x: True,
format_func=lambda x: x,
enable_choice=False, sorted=True,
item_label=None):
""" Return the asciidoc formatted table of the items and their location.
:param root: Root item of the item subset
:param get_label_func: Item's label getter function
:param filter_func: Filter function to apply on the item subset
:param format_func: Function to format a symbol and the table header
:param enable_choice: Enable choices to appear as part of the item's
location
:param sorted: Flag to alphabetically sort the table
"""
lines = []
for item in get_symbol_subset(root, filter_func):
lines.append(format_func(what="symbol", symbol=item, root=root,
get_label_func=get_label_func,
enable_choice=enable_choice))
if sorted:
lines.sort(key=lambda x: x.lower())
table = ":halign: center\n\n"
width, columns = format_func(what="layout")
table = "[width=\"{0}\",cols=\"{1}\",options=\"header\"]\n".format(width, columns)
table += "|===================================================\n"
table += format_func(what="header", header=item_label, root=root)
table += "\n" + "".join(lines) + "\n"
table += "|===================================================\n"
return table
class Buildroot:
""" Buildroot configuration object.
"""
root_config = "Config.in"
package_dirname = "package"
package_prefixes = ["BR2_PACKAGE_", "BR2_PACKAGE_HOST_"]
re_pkg_prefix = re.compile(r"^(" + "|".join(package_prefixes) + ").*")
deprecated_symbol = "BR2_DEPRECATED"
list_in = """\
//
// Automatically generated list for Buildroot manual.
//
{table}
"""
list_info = {
'target-packages': {
'filename': "package-list",
'root_menu': "Target packages",
'filter': "_is_real_package",
'format': "_format_symbol_prompt_location",
'sorted': True,
},
'host-packages': {
'filename': "host-package-list",
'root_menu': "Host utilities",
'filter': "_is_real_package",
'format': "_format_symbol_prompt",
'sorted': True,
},
'virtual-packages': {
'filename': "virtual-package-list",
'root_menu': "Target packages",
'filter': "_is_virtual_package",
'format': "_format_symbol_virtual",
'sorted': True,
},
'deprecated': {
'filename': "deprecated-list",
'root_menu': None,
'filter': "_is_deprecated_feature",
'format': "_format_symbol_prompt_location",
'sorted': False,
},
}
def __init__(self):
self.base_dir = os.environ.get("TOPDIR")
self.output_dir = os.environ.get("O")
self.package_dir = os.path.join(self.base_dir, self.package_dirname)
self.config = kconfiglib.Config(os.path.join(self.base_dir,
self.root_config),
self.base_dir)
self._deprecated = self.config.get_symbol(self.deprecated_symbol)
self.gen_date = datetime.datetime.utcnow()
self.br_version_full = os.environ.get("BR2_VERSION_FULL")
if self.br_version_full and self.br_version_full.endswith("-git"):
self.br_version_full = self.br_version_full[:-4]
if not self.br_version_full:
self.br_version_full = "undefined"
def _get_package_symbols(self, package_name):
""" Return a tuple containing the target and host package symbol.
"""
symbols = re.sub("[-+.]", "_", package_name)
symbols = symbols.upper()
symbols = tuple([prefix + symbols for prefix in self.package_prefixes])
return symbols
def _is_deprecated(self, symbol):
""" Return True if the symbol is marked as deprecated, otherwise False.
"""
# This also catches BR2_DEPRECATED_SINCE_xxxx_xx
return bool([ symbol for x in symbol.get_referenced_symbols()
if x.get_name().startswith(self._deprecated.get_name()) ])
def _is_package(self, symbol, type='real'):
""" Return True if the symbol is a package or a host package, otherwise
False.
:param symbol: The symbol to check
:param type: Limit to 'real' or 'virtual' types of packages,
with 'real' being the default.
Note: only 'real' is (implictly) handled for now
"""
if not symbol.is_symbol():
return False
if type == 'real' and not symbol.get_prompts():
return False
if type == 'virtual' and symbol.get_prompts():
return False
if not self.re_pkg_prefix.match(symbol.get_name()):
return False
pkg_name = self._get_pkg_name(symbol)
pattern = "^(HOST_)?" + pkg_name + "$"
pattern = re.sub("_", ".", pattern)
pattern = re.compile(pattern, re.IGNORECASE)
# Here, we cannot just check for the location of the Config.in because
# of the "virtual" package.
#
# So, to check that a symbol is a package (not a package option or
# anything else), we check for the existence of the package *.mk file.
#
# By the way, to actually check for a package, we should grep all *.mk
# files for the following regex:
# "\$\(eval \$\((host-)?(generic|autotools|cmake)-package\)\)"
#
# Implementation details:
#
# * The package list is generated from the *.mk file existence, the
# first time this function is called. Despite the memory consumption,
# this list is stored because the execution time of this script is
# noticeably shorter than rescanning the package sub-tree for each
# symbol.
if not hasattr(self, "_package_list"):
pkg_list = []
for _, _, files in os.walk(self.package_dir):
for file_ in (f for f in files if f.endswith(".mk")):
pkg_list.append(re.sub(r"(.*?)\.mk", r"\1", file_))
setattr(self, "_package_list", pkg_list)
for pkg in getattr(self, "_package_list"):
if type == 'real':
if pattern.match(pkg) and not self._exists_virt_symbol(pkg):
return True
if type == 'virtual':
if pattern.match('has_' + pkg):
return True
return False
def _is_real_package(self, symbol):
return self._is_package(symbol, 'real')
def _is_virtual_package(self, symbol):
return self._is_package(symbol, 'virtual')
def _is_deprecated_feature(self, symbol):
return symbol.get_prompts() and self._is_deprecated(symbol)
def _exists_virt_symbol(self, pkg_name):
""" Return True if a symbol exists that defines the package as
a virtual package, False otherwise
:param pkg_name: The name of the package, for which to check if
a symbol exists defining it as a virtual package
"""
virt_pattern = "BR2_PACKAGE_HAS_" + pkg_name + "$"
virt_pattern = re.sub("_", ".", virt_pattern)
virt_pattern = re.compile(virt_pattern, re.IGNORECASE)
for sym in self.config:
if virt_pattern.match(sym.get_name()):
return True
return False
def _get_pkg_name(self, symbol):
""" Return the package name of the specified symbol.
:param symbol: The symbol to get the package name of
"""
return re.sub("BR2_PACKAGE_(HOST_)?(.*)", r"\2", symbol.get_name())
def _get_symbol_label(self, symbol, mark_deprecated=True):
""" Return the label (a.k.a. prompt text) of the symbol.
:param symbol: The symbol
:param mark_deprecated: Append a 'deprecated' to the label
"""
label = symbol.get_prompts()[0]
if self._is_deprecated(symbol) and mark_deprecated:
label += " *(deprecated)*"
return label
def _format_symbol_prompt(self, what=None, symbol=None, root=None,
enable_choice=False, header=None,
get_label_func=lambda x: x):
if what == "layout":
return ( "30%", "^1" )
if what == "header":
return "| {0:<40}\n".format(header)
if what == "symbol":
return "| {0:<40}\n".format(get_label_func(symbol))
message = "Invalid argument 'what': '%s'\n" % str(what)
message += "Allowed values are: 'layout', 'header' and 'symbol'"
raise Exception(message)
def _format_symbol_prompt_location(self, what=None, symbol=None, root=None,
enable_choice=False, header=None,
get_label_func=lambda x: x):
if what == "layout":
return ( "100%", "^1,4" )
if what == "header":
if hasattr(root, "get_title"):
loc_label = get_symbol_parents(root, None, enable_choice=enable_choice)
loc_label += [root.get_title(), "..."]
else:
loc_label = ["Location"]
return "| {0:<40} <| {1}\n".format(header, " -> ".join(loc_label))
if what == "symbol":
parents = get_symbol_parents(symbol, root, enable_choice)
return "| {0:<40} <| {1}\n".format(get_label_func(symbol),
" -> ".join(parents))
message = "Invalid argument 'what': '%s'\n" % str(what)
message += "Allowed values are: 'layout', 'header' and 'symbol'"
raise Exception(message)
def _format_symbol_virtual(self, what=None, symbol=None, root=None,
enable_choice=False, header=None,
get_label_func=lambda x: "?"):
def _symbol_is_legacy(symbol):
selects = [ s.get_name() for s in symbol.get_selected_symbols() ]
return ("BR2_LEGACY" in selects)
def _get_parent_package(sym):
if self._is_real_package(sym):
return None
# Trim the symbol name from its last component (separated with
# underscores), until we either find a symbol which is a real
# package, or until we have no component (i.e. just 'BR2')
name = sym.get_name()
while name != "BR2":
name = name.rsplit("_", 1)[0]
s = self.config.get_symbol(name)
if s is None:
continue
if self._is_real_package(s):
return s
return None
def _get_providers(symbol):
providers = list()
for sym in self.config:
if not sym.is_symbol():
continue
if _symbol_is_legacy(sym):
continue
selects = sym.get_selected_symbols()
if not selects:
continue
for s in selects:
if s == symbol:
if sym.get_prompts():
l = self._get_symbol_label(sym,False)
parent_pkg = _get_parent_package(sym)
if parent_pkg is not None:
l = self._get_symbol_label(parent_pkg, False) \
+ " (w/ " + l + ")"
providers.append(l)
else:
providers.extend(_get_providers(sym))
return providers
if what == "layout":
return ( "100%", "^1,4,4" )
if what == "header":
return "| {0:<20} <| {1:<32} <| Providers\n".format("Virtual packages", "Symbols")
if what == "symbol":
pkg = re.sub(r"^BR2_PACKAGE_HAS_(.+)$", r"\1", symbol.get_name())
providers = _get_providers(symbol)
return "| {0:<20} <| {1:<32} <| {2}\n".format(pkg.lower(),
'+' + symbol.get_name() + '+',
", ".join(providers))
message = "Invalid argument 'what': '%s'\n" % str(what)
message += "Allowed values are: 'layout', 'header' and 'symbol'"
raise Exception(message)
def print_list(self, list_type, enable_choice=True, enable_deprecated=True,
dry_run=False, output=None):
""" Print the requested list. If not dry run, then the list is
automatically written in its own file.
:param list_type: The list type to be generated
:param enable_choice: Flag enabling choices to appear in the list
:param enable_deprecated: Flag enabling deprecated items to appear in
the package lists
:param dry_run: Dry run (print the list in stdout instead of
writing the list file
"""
def _get_menu(title):
""" Return the first symbol menu matching the given title.
"""
menus = self.config.get_menus()
menu = [m for m in menus if m.get_title().lower() == title.lower()]
if not menu:
message = "No such menu: '{0}'".format(title)
raise Exception(message)
return menu[0]
list_config = self.list_info[list_type]
root_title = list_config.get('root_menu')
if root_title:
root_item = _get_menu(root_title)
else:
root_item = self.config
filter_ = getattr(self, list_config.get('filter'))
filter_func = lambda x: filter_(x)
format_func = getattr(self, list_config.get('format'))
if not enable_deprecated and list_type != "deprecated":
filter_func = lambda x: filter_(x) and not self._is_deprecated(x)
mark_depr = list_type != "deprecated"
get_label = lambda x: self._get_symbol_label(x, mark_depr)
item_label = "Features" if list_type == "deprecated" else "Packages"
table = format_asciidoc_table(root_item, get_label,
filter_func=filter_func,
format_func=format_func,
enable_choice=enable_choice,
sorted=list_config.get('sorted'),
item_label=item_label)
content = self.list_in.format(table=table)
if dry_run:
print(content)
return
if not output:
output_dir = self.output_dir
if not output_dir:
print("Warning: Undefined output directory.")
print("\tUse source directory as output location.")
output_dir = self.base_dir
output = os.path.join(output_dir,
list_config.get('filename') + ".txt")
if not os.path.exists(os.path.dirname(output)):
os.makedirs(os.path.dirname(output))
print("Writing the {0} list in:\n\t{1}".format(list_type, output))
with open(output, 'w') as fout:
fout.write(content)
if __name__ == '__main__':
list_types = ['target-packages', 'host-packages', 'virtual-packages', 'deprecated']
parser = ArgumentParser()
parser.add_argument("list_type", nargs="?", choices=list_types,
help="""\
Generate the given list (generate all lists if unspecified)""")
parser.add_argument("-n", "--dry-run", dest="dry_run", action='store_true',
help="Output the generated list to stdout")
parser.add_argument("--output-target", dest="output_target",
help="Output target package file")
parser.add_argument("--output-host", dest="output_host",
help="Output host package file")
parser.add_argument("--output-virtual", dest="output_virtual",
help="Output virtual package file")
parser.add_argument("--output-deprecated", dest="output_deprecated",
help="Output deprecated file")
args = parser.parse_args()
lists = [args.list_type] if args.list_type else list_types
buildroot = Buildroot()
for list_name in lists:
output = getattr(args, "output_" + list_name.split("-", 1)[0])
buildroot.print_list(list_name, dry_run=args.dry_run, output=output)
|
gpl-2.0
|
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309,
3805,
13,
9285,
13,
6717,
14,
647,
199,
309,
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309,
961,
2884,
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314,
2569,
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309,
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63,
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disqus/django-old
|
tests/regressiontests/admin_validation/tests.py
|
1
|
9982
|
from django import forms
from django.core.exceptions import ImproperlyConfigured
from django.test import TestCase
from django.contrib import admin
from django.contrib.admin.validation import validate, validate_inline
from models import Song, Book, Album, TwoAlbumFKAndAnE, State, City
class SongForm(forms.ModelForm):
pass
class ValidFields(admin.ModelAdmin):
form = SongForm
fields = ['title']
class InvalidFields(admin.ModelAdmin):
form = SongForm
fields = ['spam']
class ValidationTestCase(TestCase):
def test_readonly_and_editable(self):
class SongAdmin(admin.ModelAdmin):
readonly_fields = ["original_release"]
fieldsets = [
(None, {
"fields": ["title", "original_release"],
}),
]
validate(SongAdmin, Song)
def test_custom_modelforms_with_fields_fieldsets(self):
"""
# Regression test for #8027: custom ModelForms with fields/fieldsets
"""
validate(ValidFields, Song)
self.assertRaisesMessage(ImproperlyConfigured,
"'InvalidFields.fields' refers to field 'spam' that is missing from the form.",
validate,
InvalidFields, Song)
def test_exclude_values(self):
"""
Tests for basic validation of 'exclude' option values (#12689)
"""
class ExcludedFields1(admin.ModelAdmin):
exclude = ('foo')
self.assertRaisesMessage(ImproperlyConfigured,
"'ExcludedFields1.exclude' must be a list or tuple.",
validate,
ExcludedFields1, Book)
def test_exclude_duplicate_values(self):
class ExcludedFields2(admin.ModelAdmin):
exclude = ('name', 'name')
self.assertRaisesMessage(ImproperlyConfigured,
"There are duplicate field(s) in ExcludedFields2.exclude",
validate,
ExcludedFields2, Book)
def test_exclude_in_inline(self):
class ExcludedFieldsInline(admin.TabularInline):
model = Song
exclude = ('foo')
class ExcludedFieldsAlbumAdmin(admin.ModelAdmin):
model = Album
inlines = [ExcludedFieldsInline]
self.assertRaisesMessage(ImproperlyConfigured,
"'ExcludedFieldsInline.exclude' must be a list or tuple.",
validate,
ExcludedFieldsAlbumAdmin, Album)
def test_exclude_inline_model_admin(self):
"""
# Regression test for #9932 - exclude in InlineModelAdmin
# should not contain the ForeignKey field used in ModelAdmin.model
"""
class SongInline(admin.StackedInline):
model = Song
exclude = ['album']
class AlbumAdmin(admin.ModelAdmin):
model = Album
inlines = [SongInline]
self.assertRaisesMessage(ImproperlyConfigured,
"SongInline cannot exclude the field 'album' - this is the foreign key to the parent model admin_validation.Album.",
validate,
AlbumAdmin, Album)
def test_app_label_in_admin_validation(self):
"""
Regression test for #15669 - Include app label in admin validation messages
"""
class RawIdNonexistingAdmin(admin.ModelAdmin):
raw_id_fields = ('nonexisting',)
self.assertRaisesMessage(ImproperlyConfigured,
"'RawIdNonexistingAdmin.raw_id_fields' refers to field 'nonexisting' that is missing from model 'admin_validation.Album'.",
validate,
RawIdNonexistingAdmin, Album)
def test_fk_exclusion(self):
"""
Regression test for #11709 - when testing for fk excluding (when exclude is
given) make sure fk_name is honored or things blow up when there is more
than one fk to the parent model.
"""
class TwoAlbumFKAndAnEInline(admin.TabularInline):
model = TwoAlbumFKAndAnE
exclude = ("e",)
fk_name = "album1"
validate_inline(TwoAlbumFKAndAnEInline, None, Album)
def test_inline_self_validation(self):
class TwoAlbumFKAndAnEInline(admin.TabularInline):
model = TwoAlbumFKAndAnE
self.assertRaisesMessage(Exception,
"<class 'regressiontests.admin_validation.models.TwoAlbumFKAndAnE'> has more than 1 ForeignKey to <class 'regressiontests.admin_validation.models.Album'>",
validate_inline,
TwoAlbumFKAndAnEInline, None, Album)
def test_inline_with_specified(self):
class TwoAlbumFKAndAnEInline(admin.TabularInline):
model = TwoAlbumFKAndAnE
fk_name = "album1"
validate_inline(TwoAlbumFKAndAnEInline, None, Album)
def test_readonly(self):
class SongAdmin(admin.ModelAdmin):
readonly_fields = ("title",)
validate(SongAdmin, Song)
def test_readonly_on_method(self):
def my_function(obj):
pass
class SongAdmin(admin.ModelAdmin):
readonly_fields = (my_function,)
validate(SongAdmin, Song)
def test_readonly_on_modeladmin(self):
class SongAdmin(admin.ModelAdmin):
readonly_fields = ("readonly_method_on_modeladmin",)
def readonly_method_on_modeladmin(self, obj):
pass
validate(SongAdmin, Song)
def test_readonly_method_on_model(self):
class SongAdmin(admin.ModelAdmin):
readonly_fields = ("readonly_method_on_model",)
validate(SongAdmin, Song)
def test_nonexistant_field(self):
class SongAdmin(admin.ModelAdmin):
readonly_fields = ("title", "nonexistant")
self.assertRaisesMessage(ImproperlyConfigured,
"SongAdmin.readonly_fields[1], 'nonexistant' is not a callable or an attribute of 'SongAdmin' or found in the model 'Song'.",
validate,
SongAdmin, Song)
def test_nonexistant_field_on_inline(self):
class CityInline(admin.TabularInline):
model = City
readonly_fields=['i_dont_exist'] # Missing attribute
self.assertRaisesMessage(ImproperlyConfigured,
"CityInline.readonly_fields[0], 'i_dont_exist' is not a callable or an attribute of 'CityInline' or found in the model 'City'.",
validate_inline,
CityInline, None, State)
def test_extra(self):
class SongAdmin(admin.ModelAdmin):
def awesome_song(self, instance):
if instance.title == "Born to Run":
return "Best Ever!"
return "Status unknown."
validate(SongAdmin, Song)
def test_readonly_lambda(self):
class SongAdmin(admin.ModelAdmin):
readonly_fields = (lambda obj: "test",)
validate(SongAdmin, Song)
def test_graceful_m2m_fail(self):
"""
Regression test for #12203/#12237 - Fail more gracefully when a M2M field that
specifies the 'through' option is included in the 'fields' or the 'fieldsets'
ModelAdmin options.
"""
class BookAdmin(admin.ModelAdmin):
fields = ['authors']
self.assertRaisesMessage(ImproperlyConfigured,
"'BookAdmin.fields' can't include the ManyToManyField field 'authors' because 'authors' manually specifies a 'through' model.",
validate,
BookAdmin, Book)
def test_cannot_include_through(self):
class FieldsetBookAdmin(admin.ModelAdmin):
fieldsets = (
('Header 1', {'fields': ('name',)}),
('Header 2', {'fields': ('authors',)}),
)
self.assertRaisesMessage(ImproperlyConfigured,
"'FieldsetBookAdmin.fieldsets[1][1]['fields']' can't include the ManyToManyField field 'authors' because 'authors' manually specifies a 'through' model.",
validate,
FieldsetBookAdmin, Book)
def test_nested_fields(self):
class NestedFieldsAdmin(admin.ModelAdmin):
fields = ('price', ('name', 'subtitle'))
validate(NestedFieldsAdmin, Book)
def test_nested_fieldsets(self):
class NestedFieldsetAdmin(admin.ModelAdmin):
fieldsets = (
('Main', {'fields': ('price', ('name', 'subtitle'))}),
)
validate(NestedFieldsetAdmin, Book)
def test_explicit_through_override(self):
"""
Regression test for #12209 -- If the explicitly provided through model
is specified as a string, the admin should still be able use
Model.m2m_field.through
"""
class AuthorsInline(admin.TabularInline):
model = Book.authors.through
class BookAdmin(admin.ModelAdmin):
inlines = [AuthorsInline]
# If the through model is still a string (and hasn't been resolved to a model)
# the validation will fail.
validate(BookAdmin, Book)
def test_non_model_fields(self):
"""
Regression for ensuring ModelAdmin.fields can contain non-model fields
that broke with r11737
"""
class SongForm(forms.ModelForm):
extra_data = forms.CharField()
class Meta:
model = Song
class FieldsOnFormOnlyAdmin(admin.ModelAdmin):
form = SongForm
fields = ['title', 'extra_data']
validate(FieldsOnFormOnlyAdmin, Song)
def test_non_model_first_field(self):
"""
Regression for ensuring ModelAdmin.field can handle first elem being a
non-model field (test fix for UnboundLocalError introduced with r16225).
"""
class SongForm(forms.ModelForm):
extra_data = forms.CharField()
class Meta:
model = Song
class FieldsOnFormOnlyAdmin(admin.ModelAdmin):
form = SongForm
fields = ['extra_data', 'title']
validate(FieldsOnFormOnlyAdmin, Song)
|
bsd-3-clause
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] |
rsimba/scrapy-rethinkdb
|
tests/test_pipeline.py
|
2
|
5360
|
import unittest
from mock import Mock, MagicMock, patch
from itertools import combinations_with_replacement
from scrapy_rethinkdb.pipeline import RethinkDBPipeline, NotConfigured, Item
class RethinkDBPipelineTest(unittest.TestCase):
def setUp(self):
# default pipeline under test
self.driver = Mock()
self.table_name = Mock()
self.insert_options = MagicMock()
self.pipeline = RethinkDBPipeline(
self.driver, self.table_name, self.insert_options
)
# patch for driver
self.driver_patcher = patch('scrapy_rethinkdb.pipeline.'
'RethinkDBDriver')
# patcher for the pipeline constructor
self.pipeline_cls_patcher = patch('scrapy_rethinkdb.pipeline.'
'RethinkDBPipeline.__init__')
# returns iterator for all possible combinations for 3 arguments
# which values can be either a Mock or None
self.init_mocks_iter = lambda: \
combinations_with_replacement((None, Mock()), 3)
# returns settings dictionary
self.get_pipeline_settings = \
lambda conn_sett, table_name, insert_options: \
{'RETHINKDB_TABLE': table_name,
'RETHINKDB_CONNECTION': conn_sett,
'RETHINKDB_INSERT_OPTIONS': insert_options}
def test_init_not_configured(self):
# asserts constructor will raise NotConfigured id any of the arguments
# is None
comb_iter = self.init_mocks_iter()
for driver, table_name, insert_options in comb_iter:
if not driver or not table_name or not insert_options:
self.assertRaises(NotConfigured, RethinkDBPipeline,
driver, table_name, insert_options)
def test_init_empty_table_name(self):
# asserts constructor will raise NotConfigured if table_name is empty
self.assertRaises(NotConfigured, RethinkDBPipeline, Mock(), '', Mock())
def test_init_configured(self):
# asserts that the default pipeline under test tried to get the table
self.assertEqual(self.pipeline.table,
self.driver.get_table.return_value)
self.driver.get_table.assert_called_once_with(self.table_name)
def test_from_crawler_configured(self):
# asserts that from_crawler will return a pipeline instance if the
# constructor returns None, as expected
crawler = Mock()
comb_iter = self.init_mocks_iter()
for conn_sett, table_name, insert_options in comb_iter:
crawler.settings = self.get_pipeline_settings(
conn_sett, table_name, insert_options
)
with self.pipeline_cls_patcher as pipeline_cls, \
self.driver_patcher as driver_klass:
pipeline_cls.return_value = None
pipeline = RethinkDBPipeline.from_crawler(crawler)
self.assertIsInstance(pipeline, RethinkDBPipeline)
driver_klass.assert_called_once_with(conn_sett)
pipeline_cls.assert_called_once_with(
driver_klass.return_value, table_name, insert_options
)
def test_from_crawler_not_configured(self):
# asserts that from_crawler will raise NotConfigured the
# constructor raises NotConfigured exception
crawler = Mock()
for conn_sett, table_name, insert_options in self.init_mocks_iter():
crawler.settings = self.get_pipeline_settings(
conn_sett, table_name, insert_options
)
with self.pipeline_cls_patcher as pipeline_cls, \
self.driver_patcher as driver_klass:
pipeline_cls.side_effect = NotConfigured
self.assertRaises(NotConfigured,
RethinkDBPipeline.from_crawler,
crawler)
driver_klass.assert_called_once_with(conn_sett)
pipeline_cls.assert_called_once_with(
driver_klass.return_value, table_name, insert_options
)
def test_process_item_not_an_item(self):
# asserts that a non-item is just returned
spider = Mock()
# mocking before_insert to check that it won't be called in this test
self.pipeline.before_insert = Mock()
self.pipeline.process_item(Mock(), spider)
self.assertTrue(spider.log.msg.called)
self.assertFalse(self.pipeline.before_insert.called)
def test_process_item_success(self):
# asserts that a item is processed
item = Mock(spec=Item)
item._values = {}
# mocking extension points
self.pipeline.before_insert = Mock()
self.pipeline.after_insert = Mock()
self.pipeline.process_item(item, Mock())
self.pipeline.before_insert.assert_called_once_with(
item
)
self.pipeline.table.insert.assert_called_once_with(
item._values
)
self.pipeline.driver.execute.assert_called_once_with(
self.pipeline.table.insert.return_value
)
self.pipeline.after_insert.assert_called_once_with(
item, self.pipeline.driver.execute.return_value
)
|
apache-2.0
|
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yunfeilu/scikit-learn
|
sklearn/decomposition/tests/test_sparse_pca.py
|
160
|
6028
|
# Author: Vlad Niculae
# License: BSD 3 clause
import sys
import numpy as np
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import SkipTest
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_false
from sklearn.utils.testing import if_safe_multiprocessing_with_blas
from sklearn.decomposition import SparsePCA, MiniBatchSparsePCA
from sklearn.utils import check_random_state
def generate_toy_data(n_components, n_samples, image_size, random_state=None):
n_features = image_size[0] * image_size[1]
rng = check_random_state(random_state)
U = rng.randn(n_samples, n_components)
V = rng.randn(n_components, n_features)
centers = [(3, 3), (6, 7), (8, 1)]
sz = [1, 2, 1]
for k in range(n_components):
img = np.zeros(image_size)
xmin, xmax = centers[k][0] - sz[k], centers[k][0] + sz[k]
ymin, ymax = centers[k][1] - sz[k], centers[k][1] + sz[k]
img[xmin:xmax][:, ymin:ymax] = 1.0
V[k, :] = img.ravel()
# Y is defined by : Y = UV + noise
Y = np.dot(U, V)
Y += 0.1 * rng.randn(Y.shape[0], Y.shape[1]) # Add noise
return Y, U, V
# SparsePCA can be a bit slow. To avoid having test times go up, we
# test different aspects of the code in the same test
def test_correct_shapes():
rng = np.random.RandomState(0)
X = rng.randn(12, 10)
spca = SparsePCA(n_components=8, random_state=rng)
U = spca.fit_transform(X)
assert_equal(spca.components_.shape, (8, 10))
assert_equal(U.shape, (12, 8))
# test overcomplete decomposition
spca = SparsePCA(n_components=13, random_state=rng)
U = spca.fit_transform(X)
assert_equal(spca.components_.shape, (13, 10))
assert_equal(U.shape, (12, 13))
def test_fit_transform():
alpha = 1
rng = np.random.RandomState(0)
Y, _, _ = generate_toy_data(3, 10, (8, 8), random_state=rng) # wide array
spca_lars = SparsePCA(n_components=3, method='lars', alpha=alpha,
random_state=0)
spca_lars.fit(Y)
# Test that CD gives similar results
spca_lasso = SparsePCA(n_components=3, method='cd', random_state=0,
alpha=alpha)
spca_lasso.fit(Y)
assert_array_almost_equal(spca_lasso.components_, spca_lars.components_)
@if_safe_multiprocessing_with_blas
def test_fit_transform_parallel():
alpha = 1
rng = np.random.RandomState(0)
Y, _, _ = generate_toy_data(3, 10, (8, 8), random_state=rng) # wide array
spca_lars = SparsePCA(n_components=3, method='lars', alpha=alpha,
random_state=0)
spca_lars.fit(Y)
U1 = spca_lars.transform(Y)
# Test multiple CPUs
spca = SparsePCA(n_components=3, n_jobs=2, method='lars', alpha=alpha,
random_state=0).fit(Y)
U2 = spca.transform(Y)
assert_true(not np.all(spca_lars.components_ == 0))
assert_array_almost_equal(U1, U2)
def test_transform_nan():
# Test that SparsePCA won't return NaN when there is 0 feature in all
# samples.
rng = np.random.RandomState(0)
Y, _, _ = generate_toy_data(3, 10, (8, 8), random_state=rng) # wide array
Y[:, 0] = 0
estimator = SparsePCA(n_components=8)
assert_false(np.any(np.isnan(estimator.fit_transform(Y))))
def test_fit_transform_tall():
rng = np.random.RandomState(0)
Y, _, _ = generate_toy_data(3, 65, (8, 8), random_state=rng) # tall array
spca_lars = SparsePCA(n_components=3, method='lars',
random_state=rng)
U1 = spca_lars.fit_transform(Y)
spca_lasso = SparsePCA(n_components=3, method='cd', random_state=rng)
U2 = spca_lasso.fit(Y).transform(Y)
assert_array_almost_equal(U1, U2)
def test_initialization():
rng = np.random.RandomState(0)
U_init = rng.randn(5, 3)
V_init = rng.randn(3, 4)
model = SparsePCA(n_components=3, U_init=U_init, V_init=V_init, max_iter=0,
random_state=rng)
model.fit(rng.randn(5, 4))
assert_array_equal(model.components_, V_init)
def test_mini_batch_correct_shapes():
rng = np.random.RandomState(0)
X = rng.randn(12, 10)
pca = MiniBatchSparsePCA(n_components=8, random_state=rng)
U = pca.fit_transform(X)
assert_equal(pca.components_.shape, (8, 10))
assert_equal(U.shape, (12, 8))
# test overcomplete decomposition
pca = MiniBatchSparsePCA(n_components=13, random_state=rng)
U = pca.fit_transform(X)
assert_equal(pca.components_.shape, (13, 10))
assert_equal(U.shape, (12, 13))
def test_mini_batch_fit_transform():
raise SkipTest("skipping mini_batch_fit_transform.")
alpha = 1
rng = np.random.RandomState(0)
Y, _, _ = generate_toy_data(3, 10, (8, 8), random_state=rng) # wide array
spca_lars = MiniBatchSparsePCA(n_components=3, random_state=0,
alpha=alpha).fit(Y)
U1 = spca_lars.transform(Y)
# Test multiple CPUs
if sys.platform == 'win32': # fake parallelism for win32
import sklearn.externals.joblib.parallel as joblib_par
_mp = joblib_par.multiprocessing
joblib_par.multiprocessing = None
try:
U2 = MiniBatchSparsePCA(n_components=3, n_jobs=2, alpha=alpha,
random_state=0).fit(Y).transform(Y)
finally:
joblib_par.multiprocessing = _mp
else: # we can efficiently use parallelism
U2 = MiniBatchSparsePCA(n_components=3, n_jobs=2, alpha=alpha,
random_state=0).fit(Y).transform(Y)
assert_true(not np.all(spca_lars.components_ == 0))
assert_array_almost_equal(U1, U2)
# Test that CD gives similar results
spca_lasso = MiniBatchSparsePCA(n_components=3, method='cd', alpha=alpha,
random_state=0).fit(Y)
assert_array_almost_equal(spca_lasso.components_, spca_lars.components_)
|
bsd-3-clause
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rickerc/horizon_audit
|
openstack_dashboard/dashboards/project/access_and_security/security_groups/tests.py
|
8
|
30188
|
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2012 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All Rights Reserved.
#
# Copyright 2012 Nebula, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import cgi
from django.conf import settings # noqa
from django.core.urlresolvers import reverse # noqa
from django import http
from mox import IsA # noqa
from openstack_dashboard import api
from openstack_dashboard.test import helpers as test
from openstack_dashboard.dashboards.project.access_and_security.\
security_groups import tables
INDEX_URL = reverse('horizon:project:access_and_security:index')
SG_CREATE_URL = reverse('horizon:project:access_and_security:'
'security_groups:create')
def strip_absolute_base(uri):
return uri.split(settings.TESTSERVER, 1)[-1]
class SecurityGroupsViewTests(test.TestCase):
secgroup_backend = 'nova'
def setUp(self):
super(SecurityGroupsViewTests, self).setUp()
sec_group = self.security_groups.first()
self.detail_url = reverse('horizon:project:access_and_security:'
'security_groups:detail',
args=[sec_group.id])
self.edit_url = reverse('horizon:project:access_and_security:'
'security_groups:add_rule',
args=[sec_group.id])
@test.create_stubs({api.network: ('security_group_get',)})
def test_update_security_groups_get(self):
sec_group = self.security_groups.first()
api.network.security_group_get(IsA(http.HttpRequest),
sec_group.id).AndReturn(sec_group)
self.mox.ReplayAll()
res = self.client.get(reverse('horizon:project:access_and_security:'
'security_groups:update',
args=[sec_group.id]))
self.assertTemplateUsed(res,
'project/access_and_security/security_groups/_update.html')
self.assertEqual(res.context['security_group'].name,
sec_group.name)
@test.create_stubs({api.network: ('security_group_update',
'security_group_get')})
def test_update_security_groups_post(self):
sec_group = self.security_groups.get(name="other_group")
api.network.security_group_update(IsA(http.HttpRequest),
str(sec_group.id),
sec_group.name,
sec_group.description) \
.AndReturn(sec_group)
api.network.security_group_get(IsA(http.HttpRequest),
sec_group.id).AndReturn(sec_group)
self.mox.ReplayAll()
formData = {'method': 'UpdateGroup',
'id': sec_group.id,
'name': sec_group.name,
'description': sec_group.description}
update_url = reverse('horizon:project:access_and_security:'
'security_groups:update',
args=[sec_group.id])
res = self.client.post(update_url, formData)
self.assertRedirectsNoFollow(res, INDEX_URL)
def test_create_security_groups_get(self):
res = self.client.get(SG_CREATE_URL)
self.assertTemplateUsed(res,
'project/access_and_security/security_groups/create.html')
@test.create_stubs({api.network: ('security_group_create',)})
def test_create_security_groups_post(self):
sec_group = self.security_groups.first()
api.network.security_group_create(IsA(http.HttpRequest),
sec_group.name,
sec_group.description) \
.AndReturn(sec_group)
self.mox.ReplayAll()
formData = {'method': 'CreateGroup',
'name': sec_group.name,
'description': sec_group.description}
res = self.client.post(SG_CREATE_URL, formData)
self.assertRedirectsNoFollow(res, INDEX_URL)
@test.create_stubs({api.network: ('security_group_create',)})
def test_create_security_groups_post_exception(self):
sec_group = self.security_groups.first()
api.network.security_group_create(IsA(http.HttpRequest),
sec_group.name,
sec_group.description) \
.AndRaise(self.exceptions.nova)
self.mox.ReplayAll()
formData = {'method': 'CreateGroup',
'name': sec_group.name,
'description': sec_group.description}
res = self.client.post(SG_CREATE_URL, formData)
self.assertMessageCount(error=1)
self.assertRedirectsNoFollow(res, INDEX_URL)
@test.create_stubs({api.network: ('security_group_create',)})
def test_create_security_groups_post_wrong_name(self):
sec_group = self.security_groups.first()
fail_name = sec_group.name + ' invalid'
self.mox.ReplayAll()
formData = {'method': 'CreateGroup',
'name': fail_name,
'description': sec_group.description}
res = self.client.post(SG_CREATE_URL, formData)
self.assertTemplateUsed(res,
'project/access_and_security/security_groups/create.html')
self.assertContains(res, "ASCII")
@test.create_stubs({api.network: ('security_group_get',)})
def test_detail_get(self):
sec_group = self.security_groups.first()
api.network.security_group_get(IsA(http.HttpRequest),
sec_group.id).AndReturn(sec_group)
self.mox.ReplayAll()
res = self.client.get(self.detail_url)
self.assertTemplateUsed(res,
'project/access_and_security/security_groups/detail.html')
@test.create_stubs({api.network: ('security_group_get',)})
def test_detail_get_exception(self):
sec_group = self.security_groups.first()
api.network.security_group_get(IsA(http.HttpRequest),
sec_group.id) \
.AndRaise(self.exceptions.nova)
self.mox.ReplayAll()
res = self.client.get(self.detail_url)
self.assertRedirectsNoFollow(res, INDEX_URL)
@test.create_stubs({api.network: ('security_group_rule_create',
'security_group_list',
'security_group_backend')})
def test_detail_add_rule_cidr(self):
sec_group = self.security_groups.first()
sec_group_list = self.security_groups.list()
rule = self.security_group_rules.first()
api.network.security_group_backend(
IsA(http.HttpRequest)).AndReturn(self.secgroup_backend)
api.network.security_group_rule_create(IsA(http.HttpRequest),
sec_group.id,
'ingress', 'IPv4',
rule.ip_protocol,
int(rule.from_port),
int(rule.to_port),
rule.ip_range['cidr'],
None).AndReturn(rule)
api.network.security_group_list(
IsA(http.HttpRequest)).AndReturn(sec_group_list)
self.mox.ReplayAll()
formData = {'method': 'AddRule',
'id': sec_group.id,
'port_or_range': 'port',
'port': rule.from_port,
'rule_menu': rule.ip_protocol,
'cidr': rule.ip_range['cidr'],
'remote': 'cidr'}
res = self.client.post(self.edit_url, formData)
self.assertRedirectsNoFollow(res, self.detail_url)
@test.create_stubs({api.network: ('security_group_rule_create',
'security_group_list',
'security_group_backend')})
def test_detail_add_rule_cidr_with_template(self):
sec_group = self.security_groups.first()
sec_group_list = self.security_groups.list()
rule = self.security_group_rules.first()
api.network.security_group_backend(
IsA(http.HttpRequest)).AndReturn(self.secgroup_backend)
api.network.security_group_rule_create(IsA(http.HttpRequest),
sec_group.id,
'ingress', 'IPv4',
rule.ip_protocol,
int(rule.from_port),
int(rule.to_port),
rule.ip_range['cidr'],
None).AndReturn(rule)
api.network.security_group_list(
IsA(http.HttpRequest)).AndReturn(sec_group_list)
self.mox.ReplayAll()
formData = {'method': 'AddRule',
'id': sec_group.id,
'rule_menu': 'http',
'port_or_range': 'port',
'cidr': rule.ip_range['cidr'],
'remote': 'cidr'}
res = self.client.post(self.edit_url, formData)
self.assertRedirectsNoFollow(res, self.detail_url)
def _get_source_group_rule(self):
return self.security_group_rules.get(id=3)
@test.create_stubs({api.network: ('security_group_rule_create',
'security_group_list',
'security_group_backend')})
def test_detail_add_rule_self_as_source_group(self):
sec_group = self.security_groups.first()
sec_group_list = self.security_groups.list()
rule = self._get_source_group_rule()
api.network.security_group_backend(
IsA(http.HttpRequest)).AndReturn(self.secgroup_backend)
api.network.security_group_rule_create(
IsA(http.HttpRequest),
sec_group.id,
'ingress',
# ethertype is empty for source_group of Nova Security Group
'',
rule.ip_protocol,
int(rule.from_port),
int(rule.to_port),
None,
u'%s' % sec_group.id).AndReturn(rule)
api.network.security_group_list(
IsA(http.HttpRequest)).AndReturn(sec_group_list)
self.mox.ReplayAll()
formData = {'method': 'AddRule',
'id': sec_group.id,
'port_or_range': 'port',
'port': rule.from_port,
'rule_menu': rule.ip_protocol,
'cidr': '0.0.0.0/0',
'security_group': sec_group.id,
'remote': 'sg'}
res = self.client.post(self.edit_url, formData)
self.assertRedirectsNoFollow(res, self.detail_url)
@test.create_stubs({api.network: ('security_group_rule_create',
'security_group_list',
'security_group_backend')})
def test_detail_add_rule_self_as_source_group_with_template(self):
sec_group = self.security_groups.first()
sec_group_list = self.security_groups.list()
rule = self._get_source_group_rule()
api.network.security_group_backend(
IsA(http.HttpRequest)).AndReturn(self.secgroup_backend)
api.network.security_group_rule_create(
IsA(http.HttpRequest),
sec_group.id,
'ingress',
# ethertype is empty for source_group of Nova Security Group
'',
rule.ip_protocol,
int(rule.from_port),
int(rule.to_port),
None,
u'%s' % sec_group.id).AndReturn(rule)
api.network.security_group_list(
IsA(http.HttpRequest)).AndReturn(sec_group_list)
self.mox.ReplayAll()
formData = {'method': 'AddRule',
'id': sec_group.id,
'rule_menu': 'http',
'port_or_range': 'port',
'cidr': '0.0.0.0/0',
'security_group': sec_group.id,
'remote': 'sg'}
res = self.client.post(self.edit_url, formData)
self.assertRedirectsNoFollow(res, self.detail_url)
@test.create_stubs({api.network: ('security_group_list',
'security_group_backend')})
def test_detail_invalid_port(self):
sec_group = self.security_groups.first()
sec_group_list = self.security_groups.list()
rule = self.security_group_rules.first()
api.network.security_group_backend(
IsA(http.HttpRequest)).AndReturn(self.secgroup_backend)
api.network.security_group_list(
IsA(http.HttpRequest)).AndReturn(sec_group_list)
self.mox.ReplayAll()
formData = {'method': 'AddRule',
'id': sec_group.id,
'port_or_range': 'port',
'port': None,
'rule_menu': rule.ip_protocol,
'cidr': rule.ip_range['cidr'],
'remote': 'cidr'}
res = self.client.post(self.edit_url, formData)
self.assertNoMessages()
self.assertContains(res, "The specified port is invalid")
@test.create_stubs({api.network: ('security_group_list',
'security_group_backend')})
def test_detail_invalid_port_range(self):
sec_group = self.security_groups.first()
sec_group_list = self.security_groups.list()
rule = self.security_group_rules.first()
for i in range(3):
api.network.security_group_backend(
IsA(http.HttpRequest)).AndReturn(self.secgroup_backend)
api.network.security_group_list(
IsA(http.HttpRequest)).AndReturn(sec_group_list)
self.mox.ReplayAll()
formData = {'method': 'AddRule',
'id': sec_group.id,
'port_or_range': 'range',
'from_port': rule.from_port,
'to_port': int(rule.from_port) - 1,
'rule_menu': rule.ip_protocol,
'cidr': rule.ip_range['cidr'],
'remote': 'cidr'}
res = self.client.post(self.edit_url, formData)
self.assertNoMessages()
self.assertContains(res, "greater than or equal to")
formData = {'method': 'AddRule',
'id': sec_group.id,
'port_or_range': 'range',
'from_port': None,
'to_port': rule.to_port,
'rule_menu': rule.ip_protocol,
'cidr': rule.ip_range['cidr'],
'remote': 'cidr'}
res = self.client.post(self.edit_url, formData)
self.assertNoMessages()
self.assertContains(res, cgi.escape('"from" port number is invalid',
quote=True))
formData = {'method': 'AddRule',
'id': sec_group.id,
'port_or_range': 'range',
'from_port': rule.from_port,
'to_port': None,
'rule_menu': rule.ip_protocol,
'cidr': rule.ip_range['cidr'],
'remote': 'cidr'}
res = self.client.post(self.edit_url, formData)
self.assertNoMessages()
self.assertContains(res, cgi.escape('"to" port number is invalid',
quote=True))
@test.create_stubs({api.network: ('security_group_get',
'security_group_list',
'security_group_backend')})
def test_detail_invalid_icmp_rule(self):
sec_group = self.security_groups.first()
sec_group_list = self.security_groups.list()
icmp_rule = self.security_group_rules.list()[1]
# Call POST 4 times
for i in range(4):
api.network.security_group_backend(
IsA(http.HttpRequest)).AndReturn(self.secgroup_backend)
api.network.security_group_list(
IsA(http.HttpRequest)).AndReturn(sec_group_list)
self.mox.ReplayAll()
formData = {'method': 'AddRule',
'id': sec_group.id,
'port_or_range': 'port',
'icmp_type': 256,
'icmp_code': icmp_rule.to_port,
'rule_menu': icmp_rule.ip_protocol,
'cidr': icmp_rule.ip_range['cidr'],
'remote': 'cidr'}
res = self.client.post(self.edit_url, formData)
self.assertNoMessages()
self.assertContains(res, "The ICMP type not in range (-1, 255)")
formData = {'method': 'AddRule',
'id': sec_group.id,
'port_or_range': 'port',
'icmp_type': icmp_rule.from_port,
'icmp_code': 256,
'rule_menu': icmp_rule.ip_protocol,
'cidr': icmp_rule.ip_range['cidr'],
'remote': 'cidr'}
res = self.client.post(self.edit_url, formData)
self.assertNoMessages()
self.assertContains(res, "The ICMP code not in range (-1, 255)")
formData = {'method': 'AddRule',
'id': sec_group.id,
'port_or_range': 'port',
'icmp_type': icmp_rule.from_port,
'icmp_code': None,
'rule_menu': icmp_rule.ip_protocol,
'cidr': icmp_rule.ip_range['cidr'],
'remote': 'cidr'}
res = self.client.post(self.edit_url, formData)
self.assertNoMessages()
self.assertContains(res, "The ICMP code is invalid")
formData = {'method': 'AddRule',
'id': sec_group.id,
'port_or_range': 'port',
'icmp_type': None,
'icmp_code': icmp_rule.to_port,
'rule_menu': icmp_rule.ip_protocol,
'cidr': icmp_rule.ip_range['cidr'],
'remote': 'cidr'}
res = self.client.post(self.edit_url, formData)
self.assertNoMessages()
self.assertContains(res, "The ICMP type is invalid")
@test.create_stubs({api.network: ('security_group_rule_create',
'security_group_list',
'security_group_backend')})
def test_detail_add_rule_exception(self):
sec_group = self.security_groups.first()
sec_group_list = self.security_groups.list()
rule = self.security_group_rules.first()
api.network.security_group_backend(
IsA(http.HttpRequest)).AndReturn(self.secgroup_backend)
api.network.security_group_rule_create(
IsA(http.HttpRequest),
sec_group.id, 'ingress', 'IPv4',
rule.ip_protocol,
int(rule.from_port),
int(rule.to_port),
rule.ip_range['cidr'],
None).AndRaise(self.exceptions.nova)
api.network.security_group_list(
IsA(http.HttpRequest)).AndReturn(sec_group_list)
self.mox.ReplayAll()
formData = {'method': 'AddRule',
'id': sec_group.id,
'port_or_range': 'port',
'port': rule.from_port,
'rule_menu': rule.ip_protocol,
'cidr': rule.ip_range['cidr'],
'remote': 'cidr'}
res = self.client.post(self.edit_url, formData)
self.assertRedirectsNoFollow(res, self.detail_url)
@test.create_stubs({api.network: ('security_group_rule_delete',)})
def test_detail_delete_rule(self):
sec_group = self.security_groups.first()
rule = self.security_group_rules.first()
api.network.security_group_rule_delete(IsA(http.HttpRequest), rule.id)
self.mox.ReplayAll()
form_data = {"action": "rules__delete__%s" % rule.id}
req = self.factory.post(self.edit_url, form_data)
kwargs = {'security_group_id': sec_group.id}
table = tables.RulesTable(req, sec_group.rules, **kwargs)
handled = table.maybe_handle()
self.assertEqual(strip_absolute_base(handled['location']),
self.detail_url)
@test.create_stubs({api.network: ('security_group_rule_delete',)})
def test_detail_delete_rule_exception(self):
sec_group = self.security_groups.first()
rule = self.security_group_rules.first()
api.network.security_group_rule_delete(
IsA(http.HttpRequest),
rule.id).AndRaise(self.exceptions.nova)
self.mox.ReplayAll()
form_data = {"action": "rules__delete__%s" % rule.id}
req = self.factory.post(self.edit_url, form_data)
kwargs = {'security_group_id': sec_group.id}
table = tables.RulesTable(
req, self.security_group_rules.list(), **kwargs)
handled = table.maybe_handle()
self.assertEqual(strip_absolute_base(handled['location']),
self.detail_url)
@test.create_stubs({api.network: ('security_group_delete',)})
def test_delete_group(self):
sec_group = self.security_groups.get(name="other_group")
api.network.security_group_delete(IsA(http.HttpRequest), sec_group.id)
self.mox.ReplayAll()
form_data = {"action": "security_groups__delete__%s" % sec_group.id}
req = self.factory.post(INDEX_URL, form_data)
table = tables.SecurityGroupsTable(req, self.security_groups.list())
handled = table.maybe_handle()
self.assertEqual(strip_absolute_base(handled['location']),
INDEX_URL)
@test.create_stubs({api.network: ('security_group_delete',)})
def test_delete_group_exception(self):
sec_group = self.security_groups.get(name="other_group")
api.network.security_group_delete(
IsA(http.HttpRequest),
sec_group.id).AndRaise(self.exceptions.nova)
self.mox.ReplayAll()
form_data = {"action": "security_groups__delete__%s" % sec_group.id}
req = self.factory.post(INDEX_URL, form_data)
table = tables.SecurityGroupsTable(req, self.security_groups.list())
handled = table.maybe_handle()
self.assertEqual(strip_absolute_base(handled['location']),
INDEX_URL)
class SecurityGroupsNovaNeutronDriverTests(SecurityGroupsViewTests):
secgroup_backend = 'nova'
def setUp(self):
super(SecurityGroupsNovaNeutronDriverTests, self).setUp()
self._sec_groups_orig = self.security_groups
self.security_groups = self.security_groups_uuid
self._sec_group_rules_orig = self.security_group_rules
self.security_group_rules = self.security_group_rules_uuid
sec_group = self.security_groups.first()
self.detail_url = reverse('horizon:project:access_and_security:'
'security_groups:detail',
args=[sec_group.id])
self.edit_url = reverse('horizon:project:access_and_security:'
'security_groups:add_rule',
args=[sec_group.id])
def tearDown(self):
self.security_groups = self._sec_groups_orig
self.security_group_rules = self._sec_group_rules_orig
super(SecurityGroupsNovaNeutronDriverTests, self).tearDown()
class SecurityGroupsNeutronTests(SecurityGroupsViewTests):
secgroup_backend = 'neutron'
def setUp(self):
super(SecurityGroupsNeutronTests, self).setUp()
self._sec_groups_orig = self.security_groups
self.security_groups = self.q_secgroups
self._sec_group_rules_orig = self.security_group_rules
self.security_group_rules = self.q_secgroup_rules
sec_group = self.security_groups.first()
self.detail_url = reverse('horizon:project:access_and_security:'
'security_groups:detail',
args=[sec_group.id])
self.edit_url = reverse('horizon:project:access_and_security:'
'security_groups:add_rule',
args=[sec_group.id])
def tearDown(self):
self.security_groups = self._sec_groups_orig
self.security_group_rules = self._sec_group_rules_orig
super(SecurityGroupsNeutronTests, self).tearDown()
def _get_source_group_rule(self):
for rule in self.security_group_rules.list():
if rule.group:
return rule
raise Exception("No matches found.")
# Additional tests for Neutron Security Group original features
@test.create_stubs({api.network: ('security_group_rule_create',
'security_group_list',
'security_group_backend')})
def test_detail_add_rule_custom_protocol(self):
sec_group = self.security_groups.first()
sec_group_list = self.security_groups.list()
rule = self.security_group_rules.first()
api.network.security_group_backend(
IsA(http.HttpRequest)).AndReturn(self.secgroup_backend)
api.network.security_group_rule_create(IsA(http.HttpRequest),
sec_group.id, 'ingress', 'IPv6',
37, None, None, 'fe80::/48',
None).AndReturn(rule)
api.network.security_group_list(
IsA(http.HttpRequest)).AndReturn(sec_group_list)
self.mox.ReplayAll()
formData = {'method': 'AddRule',
'id': sec_group.id,
'rule_menu': 'custom',
'direction': 'ingress',
'port_or_range': 'port',
'ip_protocol': 37,
'cidr': 'fe80::/48',
'remote': 'cidr'}
res = self.client.post(self.edit_url, formData)
self.assertRedirectsNoFollow(res, self.detail_url)
@test.create_stubs({api.network: ('security_group_rule_create',
'security_group_list',
'security_group_backend')})
def test_detail_add_rule_egress(self):
sec_group = self.security_groups.first()
sec_group_list = self.security_groups.list()
rule = self.security_group_rules.first()
api.network.security_group_backend(
IsA(http.HttpRequest)).AndReturn(self.secgroup_backend)
api.network.security_group_rule_create(IsA(http.HttpRequest),
sec_group.id, 'egress', 'IPv4',
'udp', 80, 80, '10.1.1.0/24',
None).AndReturn(rule)
api.network.security_group_list(
IsA(http.HttpRequest)).AndReturn(sec_group_list)
self.mox.ReplayAll()
formData = {'method': 'AddRule',
'id': sec_group.id,
'direction': 'egress',
'rule_menu': 'udp',
'port_or_range': 'port',
'port': 80,
'cidr': '10.1.1.0/24',
'remote': 'cidr'}
res = self.client.post(self.edit_url, formData)
self.assertRedirectsNoFollow(res, self.detail_url)
@test.create_stubs({api.network: ('security_group_rule_create',
'security_group_list',
'security_group_backend')})
def test_detail_add_rule_source_group_with_direction_ethertype(self):
sec_group = self.security_groups.first()
sec_group_list = self.security_groups.list()
rule = self._get_source_group_rule()
api.network.security_group_backend(
IsA(http.HttpRequest)).AndReturn(self.secgroup_backend)
api.network.security_group_rule_create(
IsA(http.HttpRequest),
sec_group.id,
'egress',
# ethertype is empty for source_group of Nova Security Group
'IPv6',
rule.ip_protocol,
int(rule.from_port),
int(rule.to_port),
None,
u'%s' % sec_group.id).AndReturn(rule)
api.network.security_group_list(
IsA(http.HttpRequest)).AndReturn(sec_group_list)
self.mox.ReplayAll()
formData = {'method': 'AddRule',
'id': sec_group.id,
'direction': 'egress',
'port_or_range': 'port',
'port': rule.from_port,
'rule_menu': rule.ip_protocol,
'cidr': '0.0.0.0/0',
'security_group': sec_group.id,
'remote': 'sg',
'ethertype': 'IPv6'}
res = self.client.post(self.edit_url, formData)
self.assertRedirectsNoFollow(res, self.detail_url)
|
apache-2.0
|
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winklerand/pandas
|
pandas/tests/reshape/test_merge_ordered.py
|
2
|
2966
|
import pandas as pd
from pandas import DataFrame, merge_ordered
from pandas.util import testing as tm
from pandas.util.testing import assert_frame_equal
from numpy import nan
class TestMergeOrdered(object):
def setup_method(self, method):
self.left = DataFrame({'key': ['a', 'c', 'e'],
'lvalue': [1, 2., 3]})
self.right = DataFrame({'key': ['b', 'c', 'd', 'f'],
'rvalue': [1, 2, 3., 4]})
def test_basic(self):
result = merge_ordered(self.left, self.right, on='key')
expected = DataFrame({'key': ['a', 'b', 'c', 'd', 'e', 'f'],
'lvalue': [1, nan, 2, nan, 3, nan],
'rvalue': [nan, 1, 2, 3, nan, 4]})
assert_frame_equal(result, expected)
def test_ffill(self):
result = merge_ordered(
self.left, self.right, on='key', fill_method='ffill')
expected = DataFrame({'key': ['a', 'b', 'c', 'd', 'e', 'f'],
'lvalue': [1., 1, 2, 2, 3, 3.],
'rvalue': [nan, 1, 2, 3, 3, 4]})
assert_frame_equal(result, expected)
def test_multigroup(self):
left = pd.concat([self.left, self.left], ignore_index=True)
left['group'] = ['a'] * 3 + ['b'] * 3
result = merge_ordered(left, self.right, on='key', left_by='group',
fill_method='ffill')
expected = DataFrame({'key': ['a', 'b', 'c', 'd', 'e', 'f'] * 2,
'lvalue': [1., 1, 2, 2, 3, 3.] * 2,
'rvalue': [nan, 1, 2, 3, 3, 4] * 2})
expected['group'] = ['a'] * 6 + ['b'] * 6
assert_frame_equal(result, expected.loc[:, result.columns])
result2 = merge_ordered(self.right, left, on='key', right_by='group',
fill_method='ffill')
assert_frame_equal(result, result2.loc[:, result.columns])
result = merge_ordered(left, self.right, on='key', left_by='group')
assert result['group'].notna().all()
def test_merge_type(self):
class NotADataFrame(DataFrame):
@property
def _constructor(self):
return NotADataFrame
nad = NotADataFrame(self.left)
result = nad.merge(self.right, on='key')
assert isinstance(result, NotADataFrame)
def test_empty_sequence_concat(self):
# GH 9157
empty_pat = "[Nn]o objects"
none_pat = "objects.*None"
test_cases = [
((), empty_pat),
([], empty_pat),
({}, empty_pat),
([None], none_pat),
([None, None], none_pat)
]
for df_seq, pattern in test_cases:
tm.assert_raises_regex(ValueError, pattern, pd.concat, df_seq)
pd.concat([pd.DataFrame()])
pd.concat([None, pd.DataFrame()])
pd.concat([pd.DataFrame(), None])
|
bsd-3-clause
|
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FlintHill/SUAS-Competition
|
env/lib/python3.7/distutils/__init__.py
|
4
|
3762
|
import imp
import os
import sys
import warnings
# opcode is not a virtualenv module, so we can use it to find the stdlib
# Important! To work on pypy, this must be a module that resides in the
# lib-python/modified-x.y.z directory
import opcode
dirname = os.path.dirname
distutils_path = os.path.join(os.path.dirname(opcode.__file__), "distutils")
if os.path.normpath(distutils_path) == os.path.dirname(os.path.normpath(__file__)):
warnings.warn("The virtualenv distutils package at %s appears to be in the same location as the system distutils?")
else:
__path__.insert(0, distutils_path) # noqa: F821
real_distutils = imp.load_module("_virtualenv_distutils", None, distutils_path, ("", "", imp.PKG_DIRECTORY))
# Copy the relevant attributes
try:
__revision__ = real_distutils.__revision__
except AttributeError:
pass
__version__ = real_distutils.__version__
from distutils import dist, sysconfig # isort:skip
try:
basestring
except NameError:
basestring = str
# patch build_ext (distutils doesn't know how to get the libs directory
# path on windows - it hardcodes the paths around the patched sys.prefix)
if sys.platform == "win32":
from distutils.command.build_ext import build_ext as old_build_ext
class build_ext(old_build_ext):
def finalize_options(self):
if self.library_dirs is None:
self.library_dirs = []
elif isinstance(self.library_dirs, basestring):
self.library_dirs = self.library_dirs.split(os.pathsep)
self.library_dirs.insert(0, os.path.join(sys.real_prefix, "Libs"))
old_build_ext.finalize_options(self)
from distutils.command import build_ext as build_ext_module
build_ext_module.build_ext = build_ext
# distutils.dist patches:
old_find_config_files = dist.Distribution.find_config_files
def find_config_files(self):
found = old_find_config_files(self)
if os.name == "posix":
user_filename = ".pydistutils.cfg"
else:
user_filename = "pydistutils.cfg"
user_filename = os.path.join(sys.prefix, user_filename)
if os.path.isfile(user_filename):
for item in list(found):
if item.endswith("pydistutils.cfg"):
found.remove(item)
found.append(user_filename)
return found
dist.Distribution.find_config_files = find_config_files
# distutils.sysconfig patches:
old_get_python_inc = sysconfig.get_python_inc
def sysconfig_get_python_inc(plat_specific=0, prefix=None):
if prefix is None:
prefix = sys.real_prefix
return old_get_python_inc(plat_specific, prefix)
sysconfig_get_python_inc.__doc__ = old_get_python_inc.__doc__
sysconfig.get_python_inc = sysconfig_get_python_inc
old_get_python_lib = sysconfig.get_python_lib
def sysconfig_get_python_lib(plat_specific=0, standard_lib=0, prefix=None):
if standard_lib and prefix is None:
prefix = sys.real_prefix
return old_get_python_lib(plat_specific, standard_lib, prefix)
sysconfig_get_python_lib.__doc__ = old_get_python_lib.__doc__
sysconfig.get_python_lib = sysconfig_get_python_lib
old_get_config_vars = sysconfig.get_config_vars
def sysconfig_get_config_vars(*args):
real_vars = old_get_config_vars(*args)
if sys.platform == "win32":
lib_dir = os.path.join(sys.real_prefix, "libs")
if isinstance(real_vars, dict) and "LIBDIR" not in real_vars:
real_vars["LIBDIR"] = lib_dir # asked for all
elif isinstance(real_vars, list) and "LIBDIR" in args:
real_vars = real_vars + [lib_dir] # asked for list
return real_vars
sysconfig_get_config_vars.__doc__ = old_get_config_vars.__doc__
sysconfig.get_config_vars = sysconfig_get_config_vars
|
mit
|
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jamiejackherer/pyFilm
|
pyfilm/GoogleScraper/database.py
|
2
|
9289
|
# -*- coding: utf-8 -*-
"""
The database schema of GoogleScraper.
There are four entities:
ScraperSearch: Represents a call to GoogleScraper. A search job.
SearchEngineResultsPage: Represents a SERP result page of a search_engine
Link: Represents a LINK on a SERP
Proxy: Stores all proxies and their statuses.
Because searches repeat themselves and we avoid doing them again (caching), one SERP page
can be assigned to more than one ScraperSearch. Therefore we need a n:m relationship.
"""
import datetime
from urllib.parse import urlparse
from sqlalchemy import Column, String, Integer, ForeignKey, Table, DateTime, Enum, Boolean
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship, backref
from sqlalchemy import create_engine, UniqueConstraint
from sqlalchemy.orm import scoped_session
from sqlalchemy.orm import sessionmaker
Base = declarative_base()
scraper_searches_serps = Table('scraper_searches_serps', Base.metadata,
Column('scraper_search_id', Integer, ForeignKey('scraper_search.id')),
Column('serp_id', Integer, ForeignKey('serp.id')))
class ScraperSearch(Base):
__tablename__ = 'scraper_search'
id = Column(Integer, primary_key=True)
keyword_file = Column(String)
number_search_engines_used = Column(Integer)
used_search_engines = Column(String)
number_proxies_used = Column(Integer)
number_search_queries = Column(Integer)
started_searching = Column(DateTime, default=datetime.datetime.utcnow)
stopped_searching = Column(DateTime)
serps = relationship(
'SearchEngineResultsPage',
secondary=scraper_searches_serps,
backref=backref('scraper_searches', uselist=True)
)
def __str__(self):
return '<ScraperSearch[{id}] scraped for {number_search_queries} unique keywords. Started scraping: {started_' \
'searching} and stopped: {stopped_searching}>'.format(**self.__dict__)
def __repr__(self):
return self.__str__()
class SearchEngineResultsPage(Base):
__tablename__ = 'serp'
id = Column(Integer, primary_key=True)
status = Column(String, default='successful')
search_engine_name = Column(String)
scrape_method = Column(String)
page_number = Column(Integer)
requested_at = Column(DateTime, default=datetime.datetime.utcnow)
requested_by = Column(String, default='127.0.0.1')
# The string in the SERP that indicates how many results we got for the search term.
num_results_for_query = Column(String, default='')
# Whether we got any results at all. This is the same as len(serp.links)
num_results = Column(Integer, default=-1)
query = Column(String)
# if the query was modified by the search engine because there weren't any
# results, this variable is set to the query that was used instead.
# Otherwise it remains empty.
effective_query = Column(String, default='')
# Whether the search engine has no results.
# This is not the same as num_results, because some search engines
# automatically search other similar search queries when they find no results.
# Sometimes they have results for the query, but detect a spelling mistake and only
# suggest an alternative. This is another case!
# If no_results is true, then there weren't ANY RESULTS FOUND FOR THIS QUERY!!! But there
# could have been results for an auto corrected query.
no_results = Column(Boolean, default=False)
def __str__(self):
return '<SERP[{search_engine_name}] has [{num_results}] link results for query "{query}">'.format(
**self.__dict__)
def __repr__(self):
return self.__str__()
def has_no_results_for_query(self):
"""
Returns True if the original query did not yield any results.
Returns False if either there are no serp entries, or the search engine auto corrected the query.
"""
return self.num_results == 0 or self.effective_query
def set_values_from_parser(self, parser):
"""Populate itself from a parser object.
Args:
A parser object.
"""
self.num_results_for_query = parser.num_results_for_query
self.num_results = parser.num_results
self.effective_query = parser.effective_query
self.no_results = parser.no_results
for key, value in parser.search_results.items():
if isinstance(value, list):
for link in value:
parsed = urlparse(link['link'])
# fill with nones to prevent key errors
[link.update({key: None}) for key in ('snippet', 'title', 'visible_link') if key not in link]
Link(
link=link['link'],
snippet=link['snippet'],
title=link['title'],
visible_link=link['visible_link'],
domain=parsed.netloc,
rank=link['rank'],
serp=self,
link_type=key
)
def set_values_from_scraper(self, scraper):
"""Populate itself from a scraper object.
A scraper may be any object of type:
- SelScrape
- HttpScrape
- AsyncHttpScrape
Args:
A scraper object.
"""
self.query = scraper.query
self.search_engine_name = scraper.search_engine_name
self.scrape_method = scraper.scrape_method
self.page_number = scraper.page_number
self.requested_at = scraper.requested_at
self.requested_by = scraper.requested_by
self.status = scraper.status
def was_correctly_requested(self):
return self.status == 'successful'
# Alias as a shorthand for working in the shell
SERP = SearchEngineResultsPage
class Link(Base):
__tablename__ = 'link'
id = Column(Integer, primary_key=True)
title = Column(String)
snippet = Column(String)
link = Column(String)
domain = Column(String)
visible_link = Column(String)
rank = Column(Integer)
link_type = Column(String)
serp_id = Column(Integer, ForeignKey('serp.id'))
serp = relationship(SearchEngineResultsPage, backref=backref('links', uselist=True))
def __str__(self):
return '<Link at rank {rank} has url: {link}>'.format(**self.__dict__)
def __repr__(self):
return self.__str__()
class Proxy(Base):
__tablename__ = 'proxy'
id = Column(Integer, primary_key=True)
ip = Column(String)
hostname = Column(String)
port = Column(Integer)
proto = Column(Enum('socks5', 'socks4', 'http'))
username = Column(String)
password = Column(String)
online = Column(Boolean)
status = Column(String)
checked_at = Column(DateTime)
created_at = Column(DateTime, default=datetime.datetime.utcnow)
city = Column(String)
region = Column(String)
country = Column(String)
loc = Column(String)
org = Column(String)
postal = Column(String)
UniqueConstraint(ip, port, name='unique_proxy')
def __str__(self):
return '<Proxy {ip}>'.format(**self.__dict__)
def __repr__(self):
return self.__str__()
db_Proxy = Proxy
class SearchEngine(Base):
__tablename__ = 'search_engine'
id = Column(Integer, primary_key=True)
name = Column(String, unique=True)
http_url = Column(String)
selenium_url = Column(String)
image_url = Column(String)
class SearchEngineProxyStatus(Base):
"""Stores last proxy status for the given search engine.
A proxy can either work on a search engine or not.
"""
__tablename__ = 'search_engine_proxy_status'
id = Column(Integer, primary_key=True)
proxy_id = Column(Integer, ForeignKey('proxy.id'))
search_engine_id = Column(Integer, ForeignKey('search_engine.id'))
available = Column(Boolean)
last_check = Column(DateTime)
def get_engine(config, path=None):
"""Return the sqlalchemy engine.
Args:
path: The path/name of the database to create/read from.
Returns:
The sqlalchemy engine.
"""
db_path = path if path else config.get('database_name', 'google_scraper') + '.db'
echo = config.get('log_sqlalchemy', False)
engine = create_engine('sqlite:///' + db_path, echo=echo, connect_args={'check_same_thread': False})
Base.metadata.create_all(engine)
return engine
def get_session(config, scoped=False, engine=None, path=None):
if not engine:
engine = get_engine(config, path=path)
session_factory = sessionmaker(
bind=engine,
autoflush=True,
autocommit=False,
)
if scoped:
ScopedSession = scoped_session(session_factory)
return ScopedSession
else:
return session_factory
def fixtures(config, session):
"""Add some base data."""
for se in config.get('supported_search_engines', []):
if se:
search_engine = session.query(SearchEngine).filter(SearchEngine.name == se).first()
if not search_engine:
session.add(SearchEngine(name=se))
session.commit()
|
mit
|
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aestheticblasphemy/aestheticBlasphemy
|
pl_messages/migrations/0002_auto_20200828_2129.py
|
1
|
1972
|
# Generated by Django 3.1 on 2020-08-28 15:59
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('pl_messages', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='messages',
name='parent',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='pl_messages.messages'),
),
migrations.AlterField(
model_name='participantnotifications',
name='participant',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='notified_participant', to=settings.AUTH_USER_MODEL, verbose_name='Notification Participant'),
),
migrations.AlterField(
model_name='participantthreads',
name='participant',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='thread_participant', to=settings.AUTH_USER_MODEL, verbose_name='Thread Participant'),
),
migrations.AlterField(
model_name='participantthreads',
name='threads',
field=models.ManyToManyField(related_name='participant_threads', to='pl_messages.Thread', verbose_name='Participant Threads'),
),
migrations.AlterField(
model_name='thread',
name='last_message',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='last_message_in_thread', to='pl_messages.messages', verbose_name='Last Message'),
),
migrations.AlterField(
model_name='thread',
name='messages',
field=models.ManyToManyField(related_name='thread_messages', to='pl_messages.Messages', verbose_name='Thread Messages'),
),
]
|
gpl-3.0
|
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ZdenekM/ar-table-itable
|
art_instructions/src/art_instructions/brain/wait_for_user.py
|
6
|
1300
|
from art_instructions.brain import BrainFSM, BrainInstruction
from transitions import State
import rospy
from art_msgs.msg import UserActivity
class WaitForUser(BrainInstruction):
pass
class WaitForUserLearn(WaitForUser):
pass
class WaitForUserRun(WaitForUser):
pass
class WaitForUserFSM(BrainFSM):
states = [
State(name='wait_for_user', on_enter=[
'state_update_program_item', 'check_robot_in', 'state_wait_for_user'], on_exit=['check_robot_out']),
]
transitions = [
('wait_for_user', 'program_run', 'wait_for_user'),
('done', 'wait_for_user', 'program_load_instruction'),
('error', 'wait_for_user', 'program_error'),
]
state_functions = [
'state_wait_for_user'
]
def run(self):
self.fsm.wait_for_user()
def state_wait_for_user(self, event):
rospy.logdebug('Current state: state_wait_for_user')
self.brain.state_manager.update_program_item(
self.brain.ph.get_program_id(), self.brain.block_id, self.brain.instruction)
rate = rospy.Rate(10)
while self.brain.user_activity != UserActivity.READY and self.brain.executing_program \
and not rospy.is_shutdown():
rate.sleep()
self.fsm.done(success=True)
|
lgpl-2.1
|
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isvaldo/Ola_Bemobenses
|
tests/Selenium/environment/lib/python3.4/site-packages/pip/_vendor/requests/packages/urllib3/util/url.py
|
553
|
5836
|
from collections import namedtuple
from ..exceptions import LocationParseError
url_attrs = ['scheme', 'auth', 'host', 'port', 'path', 'query', 'fragment']
class Url(namedtuple('Url', url_attrs)):
"""
Datastructure for representing an HTTP URL. Used as a return value for
:func:`parse_url`.
"""
slots = ()
def __new__(cls, scheme=None, auth=None, host=None, port=None, path=None,
query=None, fragment=None):
if path and not path.startswith('/'):
path = '/' + path
return super(Url, cls).__new__(cls, scheme, auth, host, port, path,
query, fragment)
@property
def hostname(self):
"""For backwards-compatibility with urlparse. We're nice like that."""
return self.host
@property
def request_uri(self):
"""Absolute path including the query string."""
uri = self.path or '/'
if self.query is not None:
uri += '?' + self.query
return uri
@property
def netloc(self):
"""Network location including host and port"""
if self.port:
return '%s:%d' % (self.host, self.port)
return self.host
@property
def url(self):
"""
Convert self into a url
This function should more or less round-trip with :func:`.parse_url`. The
returned url may not be exactly the same as the url inputted to
:func:`.parse_url`, but it should be equivalent by the RFC (e.g., urls
with a blank port will have : removed).
Example: ::
>>> U = parse_url('http://google.com/mail/')
>>> U.url
'http://google.com/mail/'
>>> Url('http', 'username:password', 'host.com', 80,
... '/path', 'query', 'fragment').url
'http://username:password@host.com:80/path?query#fragment'
"""
scheme, auth, host, port, path, query, fragment = self
url = ''
# We use "is not None" we want things to happen with empty strings (or 0 port)
if scheme is not None:
url += scheme + '://'
if auth is not None:
url += auth + '@'
if host is not None:
url += host
if port is not None:
url += ':' + str(port)
if path is not None:
url += path
if query is not None:
url += '?' + query
if fragment is not None:
url += '#' + fragment
return url
def __str__(self):
return self.url
def split_first(s, delims):
"""
Given a string and an iterable of delimiters, split on the first found
delimiter. Return two split parts and the matched delimiter.
If not found, then the first part is the full input string.
Example::
>>> split_first('foo/bar?baz', '?/=')
('foo', 'bar?baz', '/')
>>> split_first('foo/bar?baz', '123')
('foo/bar?baz', '', None)
Scales linearly with number of delims. Not ideal for large number of delims.
"""
min_idx = None
min_delim = None
for d in delims:
idx = s.find(d)
if idx < 0:
continue
if min_idx is None or idx < min_idx:
min_idx = idx
min_delim = d
if min_idx is None or min_idx < 0:
return s, '', None
return s[:min_idx], s[min_idx+1:], min_delim
def parse_url(url):
"""
Given a url, return a parsed :class:`.Url` namedtuple. Best-effort is
performed to parse incomplete urls. Fields not provided will be None.
Partly backwards-compatible with :mod:`urlparse`.
Example::
>>> parse_url('http://google.com/mail/')
Url(scheme='http', host='google.com', port=None, path='/mail/', ...)
>>> parse_url('google.com:80')
Url(scheme=None, host='google.com', port=80, path=None, ...)
>>> parse_url('/foo?bar')
Url(scheme=None, host=None, port=None, path='/foo', query='bar', ...)
"""
# While this code has overlap with stdlib's urlparse, it is much
# simplified for our needs and less annoying.
# Additionally, this implementations does silly things to be optimal
# on CPython.
if not url:
# Empty
return Url()
scheme = None
auth = None
host = None
port = None
path = None
fragment = None
query = None
# Scheme
if '://' in url:
scheme, url = url.split('://', 1)
# Find the earliest Authority Terminator
# (http://tools.ietf.org/html/rfc3986#section-3.2)
url, path_, delim = split_first(url, ['/', '?', '#'])
if delim:
# Reassemble the path
path = delim + path_
# Auth
if '@' in url:
# Last '@' denotes end of auth part
auth, url = url.rsplit('@', 1)
# IPv6
if url and url[0] == '[':
host, url = url.split(']', 1)
host += ']'
# Port
if ':' in url:
_host, port = url.split(':', 1)
if not host:
host = _host
if port:
# If given, ports must be integers.
if not port.isdigit():
raise LocationParseError(url)
port = int(port)
else:
# Blank ports are cool, too. (rfc3986#section-3.2.3)
port = None
elif not host and url:
host = url
if not path:
return Url(scheme, auth, host, port, path, query, fragment)
# Fragment
if '#' in path:
path, fragment = path.split('#', 1)
# Query
if '?' in path:
path, query = path.split('?', 1)
return Url(scheme, auth, host, port, path, query, fragment)
def get_host(url):
"""
Deprecated. Use :func:`.parse_url` instead.
"""
p = parse_url(url)
return p.scheme or 'http', p.hostname, p.port
|
cc0-1.0
|
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wileeam/airflow
|
tests/providers/amazon/aws/operators/test_gcs_to_s3.py
|
4
|
8632
|
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import unittest
import mock
from airflow.providers.amazon.aws.hooks.s3 import S3Hook
from airflow.providers.amazon.aws.operators.gcs_to_s3 import GCSToS3Operator
try:
from moto import mock_s3
except ImportError:
mock_s3 = None
TASK_ID = 'test-gcs-list-operator'
GCS_BUCKET = 'test-bucket'
DELIMITER = '.csv'
PREFIX = 'TEST'
S3_BUCKET = 's3://bucket/'
MOCK_FILES = ["TEST1.csv", "TEST2.csv", "TEST3.csv"]
class TestGCSToS3Operator(unittest.TestCase):
# Test1: incremental behaviour (just some files missing)
@mock_s3
@mock.patch('airflow.providers.google.cloud.operators.gcs.GCSHook')
@mock.patch('airflow.providers.amazon.aws.operators.gcs_to_s3.GCSHook')
def test_execute_incremental(self, mock_hook, mock_hook2):
mock_hook.return_value.list.return_value = MOCK_FILES
mock_hook.return_value.download.return_value = b"testing"
mock_hook2.return_value.list.return_value = MOCK_FILES
operator = GCSToS3Operator(task_id=TASK_ID,
bucket=GCS_BUCKET,
prefix=PREFIX,
delimiter=DELIMITER,
dest_aws_conn_id=None,
dest_s3_key=S3_BUCKET,
replace=False)
# create dest bucket
hook = S3Hook(aws_conn_id=None)
bucket = hook.get_bucket('bucket')
bucket.create()
bucket.put_object(Key=MOCK_FILES[0], Body=b'testing')
# we expect all except first file in MOCK_FILES to be uploaded
# and all the MOCK_FILES to be present at the S3 bucket
uploaded_files = operator.execute(None)
self.assertEqual(sorted(MOCK_FILES[1:]),
sorted(uploaded_files))
self.assertEqual(sorted(MOCK_FILES),
sorted(hook.list_keys('bucket', delimiter='/')))
# Test2: All the files are already in origin and destination without replace
@mock_s3
@mock.patch('airflow.providers.google.cloud.operators.gcs.GCSHook')
@mock.patch('airflow.providers.amazon.aws.operators.gcs_to_s3.GCSHook')
def test_execute_without_replace(self, mock_hook, mock_hook2):
mock_hook.return_value.list.return_value = MOCK_FILES
mock_hook.return_value.download.return_value = b"testing"
mock_hook2.return_value.list.return_value = MOCK_FILES
operator = GCSToS3Operator(task_id=TASK_ID,
bucket=GCS_BUCKET,
prefix=PREFIX,
delimiter=DELIMITER,
dest_aws_conn_id=None,
dest_s3_key=S3_BUCKET,
replace=False)
# create dest bucket with all the files
hook = S3Hook(aws_conn_id=None)
bucket = hook.get_bucket('bucket')
bucket.create()
for mock_file in MOCK_FILES:
bucket.put_object(Key=mock_file, Body=b'testing')
# we expect nothing to be uploaded
# and all the MOCK_FILES to be present at the S3 bucket
uploaded_files = operator.execute(None)
self.assertEqual([],
uploaded_files)
self.assertEqual(sorted(MOCK_FILES),
sorted(hook.list_keys('bucket', delimiter='/')))
# Test3: There are no files in destination bucket
@mock_s3
@mock.patch('airflow.providers.google.cloud.operators.gcs.GCSHook')
@mock.patch('airflow.providers.amazon.aws.operators.gcs_to_s3.GCSHook')
def test_execute(self, mock_hook, mock_hook2):
mock_hook.return_value.list.return_value = MOCK_FILES
mock_hook.return_value.download.return_value = b"testing"
mock_hook2.return_value.list.return_value = MOCK_FILES
operator = GCSToS3Operator(task_id=TASK_ID,
bucket=GCS_BUCKET,
prefix=PREFIX,
delimiter=DELIMITER,
dest_aws_conn_id=None,
dest_s3_key=S3_BUCKET,
replace=False)
# create dest bucket without files
hook = S3Hook(aws_conn_id=None)
bucket = hook.get_bucket('bucket')
bucket.create()
# we expect all MOCK_FILES to be uploaded
# and all MOCK_FILES to be present at the S3 bucket
uploaded_files = operator.execute(None)
self.assertEqual(sorted(MOCK_FILES),
sorted(uploaded_files))
self.assertEqual(sorted(MOCK_FILES),
sorted(hook.list_keys('bucket', delimiter='/')))
# Test4: Destination and Origin are in sync but replace all files in destination
@mock_s3
@mock.patch('airflow.providers.google.cloud.operators.gcs.GCSHook')
@mock.patch('airflow.providers.amazon.aws.operators.gcs_to_s3.GCSHook')
def test_execute_with_replace(self, mock_hook, mock_hook2):
mock_hook.return_value.list.return_value = MOCK_FILES
mock_hook.return_value.download.return_value = b"testing"
mock_hook2.return_value.list.return_value = MOCK_FILES
operator = GCSToS3Operator(task_id=TASK_ID,
bucket=GCS_BUCKET,
prefix=PREFIX,
delimiter=DELIMITER,
dest_aws_conn_id=None,
dest_s3_key=S3_BUCKET,
replace=True)
# create dest bucket with all the files
hook = S3Hook(aws_conn_id=None)
bucket = hook.get_bucket('bucket')
bucket.create()
for mock_file in MOCK_FILES:
bucket.put_object(Key=mock_file, Body=b'testing')
# we expect all MOCK_FILES to be uploaded and replace the existing ones
# and all MOCK_FILES to be present at the S3 bucket
uploaded_files = operator.execute(None)
self.assertEqual(sorted(MOCK_FILES),
sorted(uploaded_files))
self.assertEqual(sorted(MOCK_FILES),
sorted(hook.list_keys('bucket', delimiter='/')))
# Test5: Incremental sync with replace
@mock_s3
@mock.patch('airflow.providers.google.cloud.operators.gcs.GCSHook')
@mock.patch('airflow.providers.amazon.aws.operators.gcs_to_s3.GCSHook')
def test_execute_incremental_with_replace(self, mock_hook, mock_hook2):
mock_hook.return_value.list.return_value = MOCK_FILES
mock_hook.return_value.download.return_value = b"testing"
mock_hook2.return_value.list.return_value = MOCK_FILES
operator = GCSToS3Operator(task_id=TASK_ID,
bucket=GCS_BUCKET,
prefix=PREFIX,
delimiter=DELIMITER,
dest_aws_conn_id=None,
dest_s3_key=S3_BUCKET,
replace=True)
# create dest bucket with just two files (the first two files in MOCK_FILES)
hook = S3Hook(aws_conn_id=None)
bucket = hook.get_bucket('bucket')
bucket.create()
for mock_file in MOCK_FILES[:2]:
bucket.put_object(Key=mock_file, Body=b'testing')
# we expect all the MOCK_FILES to be uploaded and replace the existing ones
# and all MOCK_FILES to be present at the S3 bucket
uploaded_files = operator.execute(None)
self.assertEqual(sorted(MOCK_FILES),
sorted(uploaded_files))
self.assertEqual(sorted(MOCK_FILES),
sorted(hook.list_keys('bucket', delimiter='/')))
|
apache-2.0
|
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dmwyatt/disney.api
|
pages/timepicker.py
|
1
|
3504
|
import datetime
import logging
import os
import time
import re
import webbrowser
from dateutil import parser
from selenium import webdriver
from selenium.common.exceptions import WebDriverException, NoSuchElementException
from selenium.webdriver.support.select import Select
from helpers import roundTime, difference_in_minutes, format_dt
from pages.helpers import wait_for
logger = logging.getLogger(__name__)
class TimeNotBookableError(Exception):
pass
class BasicTimePicker:
select_selector = 'select#diningAvailabilityForm-searchTime'
def __init__(self, browser: webdriver.PhantomJS):
self.browser = browser
@property
def select_element(self):
return self.browser.find_element_by_css_selector(self.select_selector)
@property
def select(self):
return Select(self.select_element)
@property
def option_elements(self):
return self.select_element.find_elements_by_tag_name('option')
@property
def selectable_values(self):
return [x.get_attribute('value') for x in self.option_elements]
@property
def selectable_texts(self):
return [x.text for x in self.option_elements]
def select_exact_time(self, desired_dt: datetime.datetime):
the_time = desired_dt.strftime('%H:%M')
if not the_time in self.selectable_values:
raise TimeNotBookableError("Cannot select '{}' from {}".format(the_time, self.selectable_values))
self.select.select_by_value(the_time)
def select_time_with_leeway(self, desired_dt: datetime.datetime, leeway: int):
closest = None
closest_delta = None
for sv in self.selectable_values:
if not re.match('\d\d:\d\d', sv):
continue
sv_dt = time_to_datetime(sv, desired_dt)
if not closest:
closest = sv_dt
closest_delta = difference_in_minutes(desired_dt, closest)
curr_sv_delta = difference_in_minutes(sv_dt, desired_dt)
if curr_sv_delta < closest_delta:
closest = sv_dt
closest_delta = curr_sv_delta
if closest_delta <= leeway:
self.select_exact_time(closest)
else:
raise TimeNotBookableError("There is no selectable time that's "
"less than {} minutes from {} "
"in {}".format(leeway, format_dt(desired_dt), self.selectable_values))
def select_closest_time(self, desired_dt: datetime.datetime):
closest = None
closest_delta = None
for sv in self.selectable_values:
if not re.match('\d\d:\d\d', sv):
continue
sv_dt = time_to_datetime(sv, desired_dt)
if not closest:
closest = sv_dt
closest_delta = difference_in_minutes(desired_dt, closest)
curr_sv_delta = difference_in_minutes(sv_dt, desired_dt)
if curr_sv_delta < closest_delta:
closest = sv_dt
closest_delta = curr_sv_delta
self.select_exact_time(closest)
def select_meal(self, meal):
try:
self.select.select_by_visible_text(meal)
except NoSuchElementException:
raise TimeNotBookableError("Cannot select '{}' from {}".format(meal, self.selectable_texts))
def select_breakfast(self):
self.select_meal('Breakfast')
def select_lunch(self):
self.select_meal('Lunch')
def select_dinner(self):
self.select_meal('Dinner')
def time_to_datetime(the_time: str, reference_dt: datetime.datetime) -> datetime.datetime:
"""
Takes a string representing a time and a datetime.datetime that represents the day that time
is on, and returns a datetime.datetime on that day with the new time.
"""
dt = parser.parse(the_time)
return dt.replace(year=reference_dt.year, month=reference_dt.month, day=reference_dt.day)
|
mit
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tangyiyong/odoo
|
addons/base_vat/base_vat.py
|
238
|
14207
|
# -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2004-2012 OpenERP SA (<http://openerp.com>)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
##############################################################################
import logging
import string
import datetime
import re
_logger = logging.getLogger(__name__)
try:
import vatnumber
except ImportError:
_logger.warning("VAT validation partially unavailable because the `vatnumber` Python library cannot be found. "
"Install it to support more countries, for example with `easy_install vatnumber`.")
vatnumber = None
from openerp.osv import fields, osv
from openerp.tools.misc import ustr
from openerp.tools.translate import _
_ref_vat = {
'at': 'ATU12345675',
'be': 'BE0477472701',
'bg': 'BG1234567892',
'ch': 'CHE-123.456.788 TVA or CH TVA 123456', #Swiss by Yannick Vaucher @ Camptocamp
'cy': 'CY12345678F',
'cz': 'CZ12345679',
'de': 'DE123456788',
'dk': 'DK12345674',
'ee': 'EE123456780',
'el': 'EL12345670',
'es': 'ESA12345674',
'fi': 'FI12345671',
'fr': 'FR32123456789',
'gb': 'GB123456782',
'gr': 'GR12345670',
'hu': 'HU12345676',
'hr': 'HR01234567896', # Croatia, contributed by Milan Tribuson
'ie': 'IE1234567FA',
'it': 'IT12345670017',
'lt': 'LT123456715',
'lu': 'LU12345613',
'lv': 'LV41234567891',
'mt': 'MT12345634',
'mx': 'MXABC123456T1B',
'nl': 'NL123456782B90',
'no': 'NO123456785',
'pe': 'PER10254824220 or PED10254824220',
'pl': 'PL1234567883',
'pt': 'PT123456789',
'ro': 'RO1234567897',
'se': 'SE123456789701',
'si': 'SI12345679',
'sk': 'SK0012345675',
'tr': 'TR1234567890 (VERGINO) veya TR12345678901 (TCKIMLIKNO)' # Levent Karakas @ Eska Yazilim A.S.
}
class res_partner(osv.osv):
_inherit = 'res.partner'
def _split_vat(self, vat):
vat_country, vat_number = vat[:2].lower(), vat[2:].replace(' ', '')
return vat_country, vat_number
def simple_vat_check(self, cr, uid, country_code, vat_number, context=None):
'''
Check the VAT number depending of the country.
http://sima-pc.com/nif.php
'''
if not ustr(country_code).encode('utf-8').isalpha():
return False
check_func_name = 'check_vat_' + country_code
check_func = getattr(self, check_func_name, None) or \
getattr(vatnumber, check_func_name, None)
if not check_func:
# No VAT validation available, default to check that the country code exists
if country_code.upper() == 'EU':
# Foreign companies that trade with non-enterprises in the EU
# may have a VATIN starting with "EU" instead of a country code.
return True
res_country = self.pool.get('res.country')
return bool(res_country.search(cr, uid, [('code', '=ilike', country_code)], context=context))
return check_func(vat_number)
def vies_vat_check(self, cr, uid, country_code, vat_number, context=None):
try:
# Validate against VAT Information Exchange System (VIES)
# see also http://ec.europa.eu/taxation_customs/vies/
return vatnumber.check_vies(country_code.upper()+vat_number)
except Exception:
# see http://ec.europa.eu/taxation_customs/vies/checkVatService.wsdl
# Fault code may contain INVALID_INPUT, SERVICE_UNAVAILABLE, MS_UNAVAILABLE,
# TIMEOUT or SERVER_BUSY. There is no way we can validate the input
# with VIES if any of these arise, including the first one (it means invalid
# country code or empty VAT number), so we fall back to the simple check.
return self.simple_vat_check(cr, uid, country_code, vat_number, context=context)
def button_check_vat(self, cr, uid, ids, context=None):
if not self.check_vat(cr, uid, ids, context=context):
msg = self._construct_constraint_msg(cr, uid, ids, context=context)
raise osv.except_osv(_('Error!'), msg)
return True
def check_vat(self, cr, uid, ids, context=None):
user_company = self.pool.get('res.users').browse(cr, uid, uid).company_id
if user_company.vat_check_vies:
# force full VIES online check
check_func = self.vies_vat_check
else:
# quick and partial off-line checksum validation
check_func = self.simple_vat_check
for partner in self.browse(cr, uid, ids, context=context):
if not partner.vat:
continue
vat_country, vat_number = self._split_vat(partner.vat)
if not check_func(cr, uid, vat_country, vat_number, context=context):
_logger.info(_("Importing VAT Number [%s] is not valid !" % vat_number))
return False
return True
def vat_change(self, cr, uid, ids, value, context=None):
return {'value': {'vat_subjected': bool(value)}}
def _commercial_fields(self, cr, uid, context=None):
return super(res_partner, self)._commercial_fields(cr, uid, context=context) + ['vat_subjected']
def _construct_constraint_msg(self, cr, uid, ids, context=None):
def default_vat_check(cn, vn):
# by default, a VAT number is valid if:
# it starts with 2 letters
# has more than 3 characters
return cn[0] in string.ascii_lowercase and cn[1] in string.ascii_lowercase
vat_country, vat_number = self._split_vat(self.browse(cr, uid, ids)[0].vat)
vat_no = "'CC##' (CC=Country Code, ##=VAT Number)"
error_partner = self.browse(cr, uid, ids, context=context)
if default_vat_check(vat_country, vat_number):
vat_no = _ref_vat[vat_country] if vat_country in _ref_vat else vat_no
if self.pool['res.users'].browse(cr, uid, uid).company_id.vat_check_vies:
return '\n' + _('The VAT number [%s] for partner [%s] either failed the VIES VAT validation check or did not respect the expected format %s.') % (error_partner[0].vat, error_partner[0].name, vat_no)
return '\n' + _('The VAT number [%s] for partner [%s] does not seem to be valid. \nNote: the expected format is %s') % (error_partner[0].vat, error_partner[0].name, vat_no)
_constraints = [(check_vat, _construct_constraint_msg, ["vat"])]
__check_vat_ch_re1 = re.compile(r'(MWST|TVA|IVA)[0-9]{6}$')
__check_vat_ch_re2 = re.compile(r'E([0-9]{9}|-[0-9]{3}\.[0-9]{3}\.[0-9]{3})(MWST|TVA|IVA)$')
def check_vat_ch(self, vat):
'''
Check Switzerland VAT number.
'''
# VAT number in Switzerland will change between 2011 and 2013
# http://www.estv.admin.ch/mwst/themen/00154/00589/01107/index.html?lang=fr
# Old format is "TVA 123456" we will admit the user has to enter ch before the number
# Format will becomes such as "CHE-999.999.99C TVA"
# Both old and new format will be accepted till end of 2013
# Accepted format are: (spaces are ignored)
# CH TVA ######
# CH IVA ######
# CH MWST #######
#
# CHE#########MWST
# CHE#########TVA
# CHE#########IVA
# CHE-###.###.### MWST
# CHE-###.###.### TVA
# CHE-###.###.### IVA
#
if self.__check_vat_ch_re1.match(vat):
return True
match = self.__check_vat_ch_re2.match(vat)
if match:
# For new TVA numbers, do a mod11 check
num = filter(lambda s: s.isdigit(), match.group(1)) # get the digits only
factor = (5,4,3,2,7,6,5,4)
csum = sum([int(num[i]) * factor[i] for i in range(8)])
check = (11 - (csum % 11)) % 11
return check == int(num[8])
return False
def _ie_check_char(self, vat):
vat = vat.zfill(8)
extra = 0
if vat[7] not in ' W':
if vat[7].isalpha():
extra = 9 * (ord(vat[7]) - 64)
else:
# invalid
return -1
checksum = extra + sum((8-i) * int(x) for i, x in enumerate(vat[:7]))
return 'WABCDEFGHIJKLMNOPQRSTUV'[checksum % 23]
def check_vat_ie(self, vat):
""" Temporary Ireland VAT validation to support the new format
introduced in January 2013 in Ireland, until upstream is fixed.
TODO: remove when fixed upstream"""
if len(vat) not in (8, 9) or not vat[2:7].isdigit():
return False
if len(vat) == 8:
# Normalize pre-2013 numbers: final space or 'W' not significant
vat += ' '
if vat[:7].isdigit():
return vat[7] == self._ie_check_char(vat[:7] + vat[8])
elif vat[1] in (string.ascii_uppercase + '+*'):
# Deprecated format
# See http://www.revenue.ie/en/online/third-party-reporting/reporting-payment-details/faqs.html#section3
return vat[7] == self._ie_check_char(vat[2:7] + vat[0] + vat[8])
return False
# Mexican VAT verification, contributed by Vauxoo
# and Panos Christeas <p_christ@hol.gr>
__check_vat_mx_re = re.compile(r"(?P<primeras>[A-Za-z\xd1\xf1&]{3,4})" \
r"[ \-_]?" \
r"(?P<ano>[0-9]{2})(?P<mes>[01][0-9])(?P<dia>[0-3][0-9])" \
r"[ \-_]?" \
r"(?P<code>[A-Za-z0-9&\xd1\xf1]{3})$")
def check_vat_mx(self, vat):
''' Mexican VAT verification
Verificar RFC México
'''
# we convert to 8-bit encoding, to help the regex parse only bytes
vat = ustr(vat).encode('iso8859-1')
m = self.__check_vat_mx_re.match(vat)
if not m:
#No valid format
return False
try:
ano = int(m.group('ano'))
if ano > 30:
ano = 1900 + ano
else:
ano = 2000 + ano
datetime.date(ano, int(m.group('mes')), int(m.group('dia')))
except ValueError:
return False
#Valid format and valid date
return True
# Norway VAT validation, contributed by Rolv Råen (adEgo) <rora@adego.no>
def check_vat_no(self, vat):
'''
Check Norway VAT number.See http://www.brreg.no/english/coordination/number.html
'''
if len(vat) != 9:
return False
try:
int(vat)
except ValueError:
return False
sum = (3 * int(vat[0])) + (2 * int(vat[1])) + \
(7 * int(vat[2])) + (6 * int(vat[3])) + \
(5 * int(vat[4])) + (4 * int(vat[5])) + \
(3 * int(vat[6])) + (2 * int(vat[7]))
check = 11 -(sum % 11)
if check == 11:
check = 0
if check == 10:
# 10 is not a valid check digit for an organization number
return False
return check == int(vat[8])
# Peruvian VAT validation, contributed by Vauxoo
def check_vat_pe(self, vat):
vat_type,vat = vat and len(vat)>=2 and (vat[0], vat[1:]) or (False, False)
if vat_type and vat_type.upper() == 'D':
#DNI
return True
elif vat_type and vat_type.upper() == 'R':
#verify RUC
factor = '5432765432'
sum = 0
dig_check = False
if len(vat) != 11:
return False
try:
int(vat)
except ValueError:
return False
for f in range(0,10):
sum += int(factor[f]) * int(vat[f])
subtraction = 11 - (sum % 11)
if subtraction == 10:
dig_check = 0
elif subtraction == 11:
dig_check = 1
else:
dig_check = subtraction
return int(vat[10]) == dig_check
else:
return False
# VAT validation in Turkey, contributed by # Levent Karakas @ Eska Yazilim A.S.
def check_vat_tr(self, vat):
if not (10 <= len(vat) <= 11):
return False
try:
int(vat)
except ValueError:
return False
# check vat number (vergi no)
if len(vat) == 10:
sum = 0
check = 0
for f in range(0,9):
c1 = (int(vat[f]) + (9-f)) % 10
c2 = ( c1 * (2 ** (9-f)) ) % 9
if (c1 != 0) and (c2 == 0): c2 = 9
sum += c2
if sum % 10 == 0:
check = 0
else:
check = 10 - (sum % 10)
return int(vat[9]) == check
# check personal id (tc kimlik no)
if len(vat) == 11:
c1a = 0
c1b = 0
c2 = 0
for f in range(0,9,2):
c1a += int(vat[f])
for f in range(1,9,2):
c1b += int(vat[f])
c1 = ( (7 * c1a) - c1b) % 10
for f in range(0,10):
c2 += int(vat[f])
c2 = c2 % 10
return int(vat[9]) == c1 and int(vat[10]) == c2
return False
# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
|
agpl-3.0
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tmenjo/cinder-2015.1.0
|
cinder/volume/drivers/ibm/xiv_ds8k.py
|
3
|
8912
|
# Copyright 2013 IBM Corp.
# Copyright (c) 2013 OpenStack Foundation
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
#
# Authors:
# Erik Zaadi <erikz@il.ibm.com>
# Avishay Traeger <avishay@il.ibm.com>
"""
Unified Volume driver for IBM XIV and DS8K Storage Systems.
"""
from oslo_config import cfg
from oslo_log import log as logging
from oslo_utils import importutils
from cinder import exception
from cinder.volume.drivers.san import san
xiv_ds8k_opts = [
cfg.StrOpt(
'xiv_ds8k_proxy',
default='xiv_ds8k_openstack.nova_proxy.XIVDS8KNovaProxy',
help='Proxy driver that connects to the IBM Storage Array'),
cfg.StrOpt(
'xiv_ds8k_connection_type',
default='iscsi',
choices=['fibre_channel', 'iscsi'],
help='Connection type to the IBM Storage Array'),
cfg.StrOpt(
'xiv_chap',
default='disabled',
choices=['disabled', 'enabled'],
help='CHAP authentication mode, effective only for iscsi'
' (disabled|enabled)'),
]
CONF = cfg.CONF
CONF.register_opts(xiv_ds8k_opts)
LOG = logging.getLogger(__name__)
class XIVDS8KDriver(san.SanDriver):
"""Unified IBM XIV and DS8K volume driver."""
def __init__(self, *args, **kwargs):
"""Initialize the driver."""
super(XIVDS8KDriver, self).__init__(*args, **kwargs)
self.configuration.append_config_values(xiv_ds8k_opts)
proxy = importutils.import_class(self.configuration.xiv_ds8k_proxy)
# NOTE: All Array specific configurations are prefixed with:
# "xiv_ds8k_array_"
# These additional flags should be specified in the cinder.conf
# preferably in each backend configuration.
self.xiv_ds8k_proxy = proxy(
{
"xiv_ds8k_user": self.configuration.san_login,
"xiv_ds8k_pass": self.configuration.san_password,
"xiv_ds8k_address": self.configuration.san_ip,
"xiv_ds8k_vol_pool": self.configuration.san_clustername,
"xiv_ds8k_connection_type":
self.configuration.xiv_ds8k_connection_type,
"xiv_chap": self.configuration.xiv_chap
},
LOG,
exception,
driver=self)
def do_setup(self, context):
"""Setup and verify IBM XIV and DS8K Storage connection."""
self.xiv_ds8k_proxy.setup(context)
def ensure_export(self, context, volume):
"""Ensure an export."""
return self.xiv_ds8k_proxy.ensure_export(context, volume)
def create_export(self, context, volume):
"""Create an export."""
return self.xiv_ds8k_proxy.create_export(context, volume)
def create_volume(self, volume):
"""Create a volume on the IBM XIV and DS8K Storage system."""
return self.xiv_ds8k_proxy.create_volume(volume)
def delete_volume(self, volume):
"""Delete a volume on the IBM XIV and DS8K Storage system."""
self.xiv_ds8k_proxy.delete_volume(volume)
def remove_export(self, context, volume):
"""Disconnect a volume from an attached instance."""
return self.xiv_ds8k_proxy.remove_export(context, volume)
def initialize_connection(self, volume, connector):
"""Map the created volume."""
return self.xiv_ds8k_proxy.initialize_connection(volume, connector)
def terminate_connection(self, volume, connector, **kwargs):
"""Terminate a connection to a volume."""
return self.xiv_ds8k_proxy.terminate_connection(volume, connector)
def create_volume_from_snapshot(self, volume, snapshot):
"""Create a volume from a snapshot."""
return self.xiv_ds8k_proxy.create_volume_from_snapshot(
volume,
snapshot)
def create_snapshot(self, snapshot):
"""Create a snapshot."""
return self.xiv_ds8k_proxy.create_snapshot(snapshot)
def delete_snapshot(self, snapshot):
"""Delete a snapshot."""
return self.xiv_ds8k_proxy.delete_snapshot(snapshot)
def get_volume_stats(self, refresh=False):
"""Get volume stats."""
return self.xiv_ds8k_proxy.get_volume_stats(refresh)
def create_cloned_volume(self, tgt_volume, src_volume):
"""Create Cloned Volume."""
return self.xiv_ds8k_proxy.create_cloned_volume(tgt_volume, src_volume)
def extend_volume(self, volume, new_size):
"""Extend Created Volume."""
self.xiv_ds8k_proxy.extend_volume(volume, new_size)
def migrate_volume(self, context, volume, host):
"""Migrate the volume to the specified host."""
return self.xiv_ds8k_proxy.migrate_volume(context, volume, host)
def manage_existing(self, volume, existing_ref):
"""Brings an existing backend storage object under Cinder management.
existing_ref is passed straight through from the API request's
manage_existing_ref value, and it is up to the driver how this should
be interpreted. It should be sufficient to identify a storage object
that the driver should somehow associate with the newly-created cinder
volume structure.
In the case of XIV, the existing_ref consists of a single field named
'existing_ref' representing the name of the volume on the storage.
There are two ways to do this:
1. Rename the backend storage object so that it matches the,
volume['name'] which is how drivers traditionally map between a
cinder volume and the associated backend storage object.
2. Place some metadata on the volume, or somewhere in the backend, that
allows other driver requests (e.g. delete, clone, attach, detach...)
to locate the backend storage object when required.
If the existing_ref doesn't make sense, or doesn't refer to an existing
backend storage object, raise a ManageExistingInvalidReference
exception.
The volume may have a volume_type, and the driver can inspect that and
compare against the properties of the referenced backend storage
object. If they are incompatible, raise a
ManageExistingVolumeTypeMismatch, specifying a reason for the failure.
"""
return self.xiv_ds8k_proxy.manage_volume(volume, existing_ref)
def manage_existing_get_size(self, volume, existing_ref):
"""Return size of volume to be managed by manage_existing."""
return self.xiv_ds8k_proxy.manage_volume_get_size(volume, existing_ref)
def unmanage(self, volume):
"""Removes the specified volume from Cinder management."""
return self.xiv_ds8k_proxy.unmanage_volume(volume)
def reenable_replication(self, context, volume):
"""Re-enable volume replication. """
return self.xiv_ds8k_proxy.reenable_replication(context, volume)
def get_replication_status(self, context, volume):
"""Return replication status."""
return self.xiv_ds8k_proxy.get_replication_status(context, volume)
def promote_replica(self, context, volume):
"""Promote the replica to be the primary volume."""
return self.xiv_ds8k_proxy.promote_replica(context, volume)
def create_replica_test_volume(self, volume, src_vref):
"""Creates a test replica clone of the specified replicated volume."""
return self.xiv_ds8k_proxy.create_replica_test_volume(volume, src_vref)
def retype(self, ctxt, volume, new_type, diff, host):
"""Convert the volume to be of the new type."""
return self.xiv_ds8k_proxy.retype(ctxt, volume, new_type, diff, host)
def create_consistencygroup(self, context, group):
"""Creates a consistency group."""
return self.xiv_ds8k_proxy.create_consistencygroup(context, group)
def delete_consistencygroup(self, context, group):
"""Deletes a consistency group."""
return self.xiv_ds8k_proxy.delete_consistencygroup(context, group)
def create_cgsnapshot(self, context, cgsnapshot):
"""Creates a consistency group snapshot."""
return self.xiv_ds8k_proxy.create_cgsnapshot(context, cgsnapshot)
def delete_cgsnapshot(self, context, cgsnapshot):
"""Deletes a consistency group snapshot."""
return self.xiv_ds8k_proxy.delete_cgsnapshot(context, cgsnapshot)
|
apache-2.0
|
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] |
idea4bsd/idea4bsd
|
python/lib/Lib/xml/sax/handler.py
|
109
|
14076
|
"""
This module contains the core classes of version 2.0 of SAX for Python.
This file provides only default classes with absolutely minimum
functionality, from which drivers and applications can be subclassed.
Many of these classes are empty and are included only as documentation
of the interfaces.
$Id: handler.py,v 1.5 2002/02/14 08:09:36 loewis Exp $
"""
version = '2.0beta'
#============================================================================
#
# HANDLER INTERFACES
#
#============================================================================
# ===== ERRORHANDLER =====
class ErrorHandler:
"""Basic interface for SAX error handlers.
If you create an object that implements this interface, then
register the object with your XMLReader, the parser will call the
methods in your object to report all warnings and errors. There
are three levels of errors available: warnings, (possibly)
recoverable errors, and unrecoverable errors. All methods take a
SAXParseException as the only parameter."""
def error(self, exception):
"Handle a recoverable error."
raise exception
def fatalError(self, exception):
"Handle a non-recoverable error."
raise exception
def warning(self, exception):
"Handle a warning."
print exception
# ===== CONTENTHANDLER =====
class ContentHandler:
"""Interface for receiving logical document content events.
This is the main callback interface in SAX, and the one most
important to applications. The order of events in this interface
mirrors the order of the information in the document."""
def __init__(self):
self._locator = None
def setDocumentLocator(self, locator):
"""Called by the parser to give the application a locator for
locating the origin of document events.
SAX parsers are strongly encouraged (though not absolutely
required) to supply a locator: if it does so, it must supply
the locator to the application by invoking this method before
invoking any of the other methods in the DocumentHandler
interface.
The locator allows the application to determine the end
position of any document-related event, even if the parser is
not reporting an error. Typically, the application will use
this information for reporting its own errors (such as
character content that does not match an application's
business rules). The information returned by the locator is
probably not sufficient for use with a search engine.
Note that the locator will return correct information only
during the invocation of the events in this interface. The
application should not attempt to use it at any other time."""
self._locator = locator
def startDocument(self):
"""Receive notification of the beginning of a document.
The SAX parser will invoke this method only once, before any
other methods in this interface or in DTDHandler (except for
setDocumentLocator)."""
def endDocument(self):
"""Receive notification of the end of a document.
The SAX parser will invoke this method only once, and it will
be the last method invoked during the parse. The parser shall
not invoke this method until it has either abandoned parsing
(because of an unrecoverable error) or reached the end of
input."""
def startPrefixMapping(self, prefix, uri):
"""Begin the scope of a prefix-URI Namespace mapping.
The information from this event is not necessary for normal
Namespace processing: the SAX XML reader will automatically
replace prefixes for element and attribute names when the
http://xml.org/sax/features/namespaces feature is true (the
default).
There are cases, however, when applications need to use
prefixes in character data or in attribute values, where they
cannot safely be expanded automatically; the
start/endPrefixMapping event supplies the information to the
application to expand prefixes in those contexts itself, if
necessary.
Note that start/endPrefixMapping events are not guaranteed to
be properly nested relative to each-other: all
startPrefixMapping events will occur before the corresponding
startElement event, and all endPrefixMapping events will occur
after the corresponding endElement event, but their order is
not guaranteed."""
def endPrefixMapping(self, prefix):
"""End the scope of a prefix-URI mapping.
See startPrefixMapping for details. This event will always
occur after the corresponding endElement event, but the order
of endPrefixMapping events is not otherwise guaranteed."""
def startElement(self, name, attrs):
"""Signals the start of an element in non-namespace mode.
The name parameter contains the raw XML 1.0 name of the
element type as a string and the attrs parameter holds an
instance of the Attributes class containing the attributes of
the element."""
def endElement(self, name):
"""Signals the end of an element in non-namespace mode.
The name parameter contains the name of the element type, just
as with the startElement event."""
def startElementNS(self, name, qname, attrs):
"""Signals the start of an element in namespace mode.
The name parameter contains the name of the element type as a
(uri, localname) tuple, the qname parameter the raw XML 1.0
name used in the source document, and the attrs parameter
holds an instance of the Attributes class containing the
attributes of the element.
The uri part of the name tuple is None for elements which have
no namespace."""
def endElementNS(self, name, qname):
"""Signals the end of an element in namespace mode.
The name parameter contains the name of the element type, just
as with the startElementNS event."""
def characters(self, content):
"""Receive notification of character data.
The Parser will call this method to report each chunk of
character data. SAX parsers may return all contiguous
character data in a single chunk, or they may split it into
several chunks; however, all of the characters in any single
event must come from the same external entity so that the
Locator provides useful information."""
def ignorableWhitespace(self, whitespace):
"""Receive notification of ignorable whitespace in element content.
Validating Parsers must use this method to report each chunk
of ignorable whitespace (see the W3C XML 1.0 recommendation,
section 2.10): non-validating parsers may also use this method
if they are capable of parsing and using content models.
SAX parsers may return all contiguous whitespace in a single
chunk, or they may split it into several chunks; however, all
of the characters in any single event must come from the same
external entity, so that the Locator provides useful
information.
The application must not attempt to read from the array
outside of the specified range."""
def processingInstruction(self, target, data):
"""Receive notification of a processing instruction.
The Parser will invoke this method once for each processing
instruction found: note that processing instructions may occur
before or after the main document element.
A SAX parser should never report an XML declaration (XML 1.0,
section 2.8) or a text declaration (XML 1.0, section 4.3.1)
using this method."""
def skippedEntity(self, name):
"""Receive notification of a skipped entity.
The Parser will invoke this method once for each entity
skipped. Non-validating processors may skip entities if they
have not seen the declarations (because, for example, the
entity was declared in an external DTD subset). All processors
may skip external entities, depending on the values of the
http://xml.org/sax/features/external-general-entities and the
http://xml.org/sax/features/external-parameter-entities
properties."""
# ===== DTDHandler =====
class DTDHandler:
"""Handle DTD events.
This interface specifies only those DTD events required for basic
parsing (unparsed entities and attributes)."""
def notationDecl(self, name, publicId, systemId):
"Handle a notation declaration event."
def unparsedEntityDecl(self, name, publicId, systemId, ndata):
"Handle an unparsed entity declaration event."
# ===== ENTITYRESOLVER =====
class EntityResolver:
"""Basic interface for resolving entities. If you create an object
implementing this interface, then register the object with your
Parser, the parser will call the method in your object to
resolve all external entities. Note that DefaultHandler implements
this interface with the default behaviour."""
def resolveEntity(self, publicId, systemId):
"""Resolve the system identifier of an entity and return either
the system identifier to read from as a string, or an InputSource
to read from."""
return systemId
#============================================================================
#
# CORE FEATURES
#
#============================================================================
feature_namespaces = "http://xml.org/sax/features/namespaces"
# true: Perform Namespace processing (default).
# false: Optionally do not perform Namespace processing
# (implies namespace-prefixes).
# access: (parsing) read-only; (not parsing) read/write
feature_namespace_prefixes = "http://xml.org/sax/features/namespace-prefixes"
# true: Report the original prefixed names and attributes used for Namespace
# declarations.
# false: Do not report attributes used for Namespace declarations, and
# optionally do not report original prefixed names (default).
# access: (parsing) read-only; (not parsing) read/write
feature_string_interning = "http://xml.org/sax/features/string-interning"
# true: All element names, prefixes, attribute names, Namespace URIs, and
# local names are interned using the built-in intern function.
# false: Names are not necessarily interned, although they may be (default).
# access: (parsing) read-only; (not parsing) read/write
feature_validation = "http://xml.org/sax/features/validation"
# true: Report all validation errors (implies external-general-entities and
# external-parameter-entities).
# false: Do not report validation errors.
# access: (parsing) read-only; (not parsing) read/write
feature_external_ges = "http://xml.org/sax/features/external-general-entities"
# true: Include all external general (text) entities.
# false: Do not include external general entities.
# access: (parsing) read-only; (not parsing) read/write
feature_external_pes = "http://xml.org/sax/features/external-parameter-entities"
# true: Include all external parameter entities, including the external
# DTD subset.
# false: Do not include any external parameter entities, even the external
# DTD subset.
# access: (parsing) read-only; (not parsing) read/write
all_features = [feature_namespaces,
feature_namespace_prefixes,
feature_string_interning,
feature_validation,
feature_external_ges,
feature_external_pes]
#============================================================================
#
# CORE PROPERTIES
#
#============================================================================
property_lexical_handler = "http://xml.org/sax/properties/lexical-handler"
# data type: xml.sax.sax2lib.LexicalHandler
# description: An optional extension handler for lexical events like comments.
# access: read/write
property_declaration_handler = "http://xml.org/sax/properties/declaration-handler"
# data type: xml.sax.sax2lib.DeclHandler
# description: An optional extension handler for DTD-related events other
# than notations and unparsed entities.
# access: read/write
property_dom_node = "http://xml.org/sax/properties/dom-node"
# data type: org.w3c.dom.Node
# description: When parsing, the current DOM node being visited if this is
# a DOM iterator; when not parsing, the root DOM node for
# iteration.
# access: (parsing) read-only; (not parsing) read/write
property_xml_string = "http://xml.org/sax/properties/xml-string"
# data type: String
# description: The literal string of characters that was the source for
# the current event.
# access: read-only
property_encoding = "http://www.python.org/sax/properties/encoding"
# data type: String
# description: The name of the encoding to assume for input data.
# access: write: set the encoding, e.g. established by a higher-level
# protocol. May change during parsing (e.g. after
# processing a META tag)
# read: return the current encoding (possibly established through
# auto-detection.
# initial value: UTF-8
#
property_interning_dict = "http://www.python.org/sax/properties/interning-dict"
# data type: Dictionary
# description: The dictionary used to intern common strings in the document
# access: write: Request that the parser uses a specific dictionary, to
# allow interning across different documents
# read: return the current interning dictionary, or None
#
all_properties = [property_lexical_handler,
property_dom_node,
property_declaration_handler,
property_xml_string,
property_encoding,
property_interning_dict]
|
apache-2.0
|
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junhuac/MQUIC
|
depot_tools/external_bin/gsutil/gsutil_4.15/gsutil/third_party/boto/boto/ec2/elb/healthcheck.py
|
185
|
3775
|
# Copyright (c) 2006-2012 Mitch Garnaat http://garnaat.org/
# Copyright (c) 2012 Amazon.com, Inc. or its affiliates.
# All Rights Reserved
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish, dis-
# tribute, sublicense, and/or sell copies of the Software, and to permit
# persons to whom the Software is furnished to do so, subject to the fol-
# lowing conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABIL-
# ITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
# SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
# IN THE SOFTWARE.
class HealthCheck(object):
"""
Represents an EC2 Access Point Health Check. See
:ref:`elb-configuring-a-health-check` for a walkthrough on configuring
load balancer health checks.
"""
def __init__(self, access_point=None, interval=30, target=None,
healthy_threshold=3, timeout=5, unhealthy_threshold=5):
"""
:ivar str access_point: The name of the load balancer this
health check is associated with.
:ivar int interval: Specifies how many seconds there are between
health checks.
:ivar str target: Determines what to check on an instance. See the
Amazon HealthCheck_ documentation for possible Target values.
.. _HealthCheck: http://docs.amazonwebservices.com/ElasticLoadBalancing/latest/APIReference/API_HealthCheck.html
"""
self.access_point = access_point
self.interval = interval
self.target = target
self.healthy_threshold = healthy_threshold
self.timeout = timeout
self.unhealthy_threshold = unhealthy_threshold
def __repr__(self):
return 'HealthCheck:%s' % self.target
def startElement(self, name, attrs, connection):
return None
def endElement(self, name, value, connection):
if name == 'Interval':
self.interval = int(value)
elif name == 'Target':
self.target = value
elif name == 'HealthyThreshold':
self.healthy_threshold = int(value)
elif name == 'Timeout':
self.timeout = int(value)
elif name == 'UnhealthyThreshold':
self.unhealthy_threshold = int(value)
else:
setattr(self, name, value)
def update(self):
"""
In the case where you have accessed an existing health check on a
load balancer, this method applies this instance's health check
values to the load balancer it is attached to.
.. note:: This method will not do anything if the :py:attr:`access_point`
attribute isn't set, as is the case with a newly instantiated
HealthCheck instance.
"""
if not self.access_point:
return
new_hc = self.connection.configure_health_check(self.access_point,
self)
self.interval = new_hc.interval
self.target = new_hc.target
self.healthy_threshold = new_hc.healthy_threshold
self.unhealthy_threshold = new_hc.unhealthy_threshold
self.timeout = new_hc.timeout
|
mit
|
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jakesyl/fail2ban
|
fail2ban/protocol.py
|
1
|
9025
|
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: t -*-
# vi: set ft=python sts=4 ts=4 sw=4 noet :
# This file is part of Fail2Ban.
#
# Fail2Ban is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# Fail2Ban is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Fail2Ban; if not, write to the Free Software
# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
# Author: Cyril Jaquier
#
__author__ = "Cyril Jaquier"
__copyright__ = "Copyright (c) 2004 Cyril Jaquier"
__license__ = "GPL"
import textwrap
##
# Describes the protocol used to communicate with the server.
protocol = [
['', "BASIC", ""],
["start", "starts the server and the jails"],
["reload", "reloads the configuration"],
["reload <JAIL>", "reloads the jail <JAIL>"],
["stop", "stops all jails and terminate the server"],
["status", "gets the current status of the server"],
["ping", "tests if the server is alive"],
["help", "return this output"],
["version", "return the server version"],
['', "LOGGING", ""],
["set loglevel <LEVEL>", "sets logging level to <LEVEL>. Levels: CRITICAL, ERROR, WARNING, NOTICE, INFO, DEBUG"],
["get loglevel", "gets the logging level"],
["set logtarget <TARGET>", "sets logging target to <TARGET>. Can be STDOUT, STDERR, SYSLOG or a file"],
["get logtarget", "gets logging target"],
["flushlogs", "flushes the logtarget if a file and reopens it. For log rotation."],
['', "DATABASE", ""],
["set dbfile <FILE>", "set the location of fail2ban persistent datastore. Set to \"None\" to disable"],
["get dbfile", "get the location of fail2ban persistent datastore"],
["set dbpurgeage <SECONDS>", "sets the max age in <SECONDS> that history of bans will be kept"],
["get dbpurgeage", "gets the max age in seconds that history of bans will be kept"],
['', "JAIL CONTROL", ""],
["add <JAIL> <BACKEND>", "creates <JAIL> using <BACKEND>"],
["start <JAIL>", "starts the jail <JAIL>"],
["stop <JAIL>", "stops the jail <JAIL>. The jail is removed"],
["status <JAIL> [FLAVOR]", "gets the current status of <JAIL>, with optional flavor or extended info"],
['', "JAIL CONFIGURATION", ""],
["set <JAIL> idle on|off", "sets the idle state of <JAIL>"],
["set <JAIL> addignoreip <IP>", "adds <IP> to the ignore list of <JAIL>"],
["set <JAIL> delignoreip <IP>", "removes <IP> from the ignore list of <JAIL>"],
["set <JAIL> addlogpath <FILE> ['tail']", "adds <FILE> to the monitoring list of <JAIL>, optionally starting at the 'tail' of the file (default 'head')."],
["set <JAIL> dellogpath <FILE>", "removes <FILE> from the monitoring list of <JAIL>"],
["set <JAIL> logencoding <ENCODING>", "sets the <ENCODING> of the log files for <JAIL>"],
["set <JAIL> addjournalmatch <MATCH>", "adds <MATCH> to the journal filter of <JAIL>"],
["set <JAIL> deljournalmatch <MATCH>", "removes <MATCH> from the journal filter of <JAIL>"],
["set <JAIL> addfailregex <REGEX>", "adds the regular expression <REGEX> which must match failures for <JAIL>"],
["set <JAIL> delfailregex <INDEX>", "removes the regular expression at <INDEX> for failregex"],
["set <JAIL> ignorecommand <VALUE>", "sets ignorecommand of <JAIL>"],
["set <JAIL> addignoreregex <REGEX>", "adds the regular expression <REGEX> which should match pattern to exclude for <JAIL>"],
["set <JAIL> delignoreregex <INDEX>", "removes the regular expression at <INDEX> for ignoreregex"],
["set <JAIL> findtime <TIME>", "sets the number of seconds <TIME> for which the filter will look back for <JAIL>"],
["set <JAIL> bantime <TIME>", "sets the number of seconds <TIME> a host will be banned for <JAIL>"],
["set <JAIL> datepattern <PATTERN>", "sets the <PATTERN> used to match date/times for <JAIL>"],
["set <JAIL> usedns <VALUE>", "sets the usedns mode for <JAIL>"],
["set <JAIL> banip <IP>", "manually Ban <IP> for <JAIL>"],
["set <JAIL> unbanip <IP>", "manually Unban <IP> in <JAIL>"],
["set <JAIL> maxretry <RETRY>", "sets the number of failures <RETRY> before banning the host for <JAIL>"],
["set <JAIL> maxlines <LINES>", "sets the number of <LINES> to buffer for regex search for <JAIL>"],
["set <JAIL> addaction <ACT>[ <PYTHONFILE> <JSONKWARGS>]", "adds a new action named <NAME> for <JAIL>. Optionally for a Python based action, a <PYTHONFILE> and <JSONKWARGS> can be specified, else will be a Command Action"],
["set <JAIL> delaction <ACT>", "removes the action <ACT> from <JAIL>"],
["", "COMMAND ACTION CONFIGURATION", ""],
["set <JAIL> action <ACT> actionstart <CMD>", "sets the start command <CMD> of the action <ACT> for <JAIL>"],
["set <JAIL> action <ACT> actionstop <CMD>", "sets the stop command <CMD> of the action <ACT> for <JAIL>"],
["set <JAIL> action <ACT> actioncheck <CMD>", "sets the check command <CMD> of the action <ACT> for <JAIL>"],
["set <JAIL> action <ACT> actionban <CMD>", "sets the ban command <CMD> of the action <ACT> for <JAIL>"],
["set <JAIL> action <ACT> actionunban <CMD>", "sets the unban command <CMD> of the action <ACT> for <JAIL>"],
["set <JAIL> action <ACT> timeout <TIMEOUT>", "sets <TIMEOUT> as the command timeout in seconds for the action <ACT> for <JAIL>"],
["", "GENERAL ACTION CONFIGURATION", ""],
["set <JAIL> action <ACT> <PROPERTY> <VALUE>", "sets the <VALUE> of <PROPERTY> for the action <ACT> for <JAIL>"],
["set <JAIL> action <ACT> <METHOD>[ <JSONKWARGS>]", "calls the <METHOD> with <JSONKWARGS> for the action <ACT> for <JAIL>"],
['', "JAIL INFORMATION", ""],
["get <JAIL> logpath", "gets the list of the monitored files for <JAIL>"],
["get <JAIL> logencoding", "gets the encoding of the log files for <JAIL>"],
["get <JAIL> journalmatch", "gets the journal filter match for <JAIL>"],
["get <JAIL> ignoreip", "gets the list of ignored IP addresses for <JAIL>"],
["get <JAIL> ignorecommand", "gets ignorecommand of <JAIL>"],
["get <JAIL> failregex", "gets the list of regular expressions which matches the failures for <JAIL>"],
["get <JAIL> ignoreregex", "gets the list of regular expressions which matches patterns to ignore for <JAIL>"],
["get <JAIL> findtime", "gets the time for which the filter will look back for failures for <JAIL>"],
["get <JAIL> bantime", "gets the time a host is banned for <JAIL>"],
["get <JAIL> datepattern", "gets the patern used to match date/times for <JAIL>"],
["get <JAIL> usedns", "gets the usedns setting for <JAIL>"],
["get <JAIL> maxretry", "gets the number of failures allowed for <JAIL>"],
["get <JAIL> maxlines", "gets the number of lines to buffer for <JAIL>"],
["get <JAIL> actions", "gets a list of actions for <JAIL>"],
["", "COMMAND ACTION INFORMATION",""],
["get <JAIL> action <ACT> actionstart", "gets the start command for the action <ACT> for <JAIL>"],
["get <JAIL> action <ACT> actionstop", "gets the stop command for the action <ACT> for <JAIL>"],
["get <JAIL> action <ACT> actioncheck", "gets the check command for the action <ACT> for <JAIL>"],
["get <JAIL> action <ACT> actionban", "gets the ban command for the action <ACT> for <JAIL>"],
["get <JAIL> action <ACT> actionunban", "gets the unban command for the action <ACT> for <JAIL>"],
["get <JAIL> action <ACT> timeout", "gets the command timeout in seconds for the action <ACT> for <JAIL>"],
["", "GENERAL ACTION INFORMATION", ""],
["get <JAIL> actionproperties <ACT>", "gets a list of properties for the action <ACT> for <JAIL>"],
["get <JAIL> actionmethods <ACT>", "gets a list of methods for the action <ACT> for <JAIL>"],
["get <JAIL> action <ACT> <PROPERTY>", "gets the value of <PROPERTY> for the action <ACT> for <JAIL>"],
]
##
# Prints the protocol in a "man" format. This is used for the
# "-h" output of fail2ban-client.
def printFormatted():
INDENT=4
MARGIN=41
WIDTH=34
firstHeading = False
for m in protocol:
if m[0] == '' and firstHeading:
print
firstHeading = True
first = True
if len(m[0]) >= MARGIN:
m[1] = ' ' * WIDTH + m[1]
for n in textwrap.wrap(m[1], WIDTH, drop_whitespace=False):
if first:
line = ' ' * INDENT + m[0] + ' ' * (MARGIN - len(m[0])) + n.strip()
first = False
else:
line = ' ' * (INDENT + MARGIN) + n.strip()
print line
##
# Prints the protocol in a "mediawiki" format.
def printWiki():
firstHeading = False
for m in protocol:
if m[0] == '':
if firstHeading:
print "|}"
__printWikiHeader(m[1], m[2])
firstHeading = True
else:
print "|-"
print "| <span style=\"white-space:nowrap;\"><tt>" + m[0] + "</tt></span> || || " + m[1]
print "|}"
def __printWikiHeader(section, desc):
print
print "=== " + section + " ==="
print
print desc
print
print "{|"
print "| '''Command''' || || '''Description'''"
|
gpl-2.0
|
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matthiasdiener/spack
|
var/spack/repos/builtin/packages/r-rsolnp/package.py
|
5
|
1685
|
##############################################################################
# Copyright (c) 2013-2018, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
# LLNL-CODE-647188
#
# For details, see https://github.com/spack/spack
# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License (as
# published by the Free Software Foundation) version 2.1, February 1999.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
# conditions of the GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
##############################################################################
from spack import *
class RRsolnp(RPackage):
"""General Non-linear Optimization Using Augmented Lagrange Multiplier
Method."""
homepage = "https://cran.r-project.org/package=Rsolnp"
url = "https://cran.rstudio.com/src/contrib/Rsolnp_1.16.tar.gz"
list_url = "https://cran.rstudio.com/src/contrib/Archive/Rsolnp"
version('1.16', '507e1e1a64f5f1d32b7e4e12ed19599f')
depends_on('r-truncnorm', type=('build', 'run'))
|
lgpl-2.1
|
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wrouesnel/ansible
|
lib/ansible/modules/network/panos/panos_nat_rule.py
|
6
|
16293
|
#!/usr/bin/python
# -*- coding: utf-8 -*-
# (c) 2016, techbizdev <techbizdev@paloaltonetworks.com>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
DOCUMENTATION = '''
---
module: panos_nat_rule
short_description: create a policy NAT rule
description: >
- Create a policy nat rule. Keep in mind that we can either end up configuring source NAT, destination NAT, or
both. Instead of splitting it into two we will make a fair attempt to determine which one the user wants.
author: "Luigi Mori (@jtschichold), Ivan Bojer (@ivanbojer), Robert Hagen (@rnh556)"
version_added: "2.4"
requirements:
- pan-python can be obtained from PyPi U(https://pypi.python.org/pypi/pan-python)
- pandevice can be obtained from PyPi U(https://pypi.python.org/pypi/pandevice)
notes:
- Checkmode is not supported.
- Panorama is supported.
options:
ip_address:
description:
- IP address (or hostname) of PAN-OS device being configured.
required: true
username:
description:
- Username credentials to use for auth unless I(api_key) is set.
default: "admin"
password:
description:
- Password credentials to use for auth unless I(api_key) is set.
required: true
api_key:
description:
- API key that can be used instead of I(username)/I(password) credentials.
operation:
description:
- The action to be taken. Supported values are I(add)/I(update)/I(find)/I(delete).
rule_name:
description:
- name of the SNAT rule
required: true
source_zone:
description:
- list of source zones
required: true
destination_zone:
description:
- destination zone
required: true
source_ip:
description:
- list of source addresses
required: false
default: ["any"]
destination_ip:
description:
- list of destination addresses
required: false
default: ["any"]
service:
description:
- service
required: false
default: "any"
snat_type:
description:
- type of source translation
required: false
default: None
snat_address_type:
description:
- type of source translation. Supported values are I(translated-address)/I(translated-address).
required: false
default: 'translated-address'
snat_static_address:
description:
- Source NAT translated address. Used with Static-IP translation.
required: false
default: None
snat_dynamic_address:
description:
- Source NAT translated address. Used with Dynamic-IP and Dynamic-IP-and-Port.
required: false
default: None
snat_interface:
description:
- snat interface
required: false
default: None
snat_interface_address:
description:
- snat interface address
required: false
default: None
snat_bidirectional:
description:
- bidirectional flag
required: false
default: "false"
dnat_address:
description:
- dnat translated address
required: false
default: None
dnat_port:
description:
- dnat translated port
required: false
default: None
commit:
description:
- Commit configuration if changed.
default: true
'''
EXAMPLES = '''
# Create a source and destination nat rule
- name: Create NAT SSH rule for 10.0.1.101
panos_nat_rule:
ip_address: '{{ ip_address }}'
username: '{{ username }}'
password: '{{ password }}'
rule_name: "Web SSH"
source_zone: ["external"]
destination_zone: "external"
source: ["any"]
destination: ["10.0.0.100"]
service: "service-tcp-221"
snat_type: "dynamic-ip-and-port"
snat_interface: "ethernet1/2"
dnat_address: "10.0.1.101"
dnat_port: "22"
'''
RETURN = '''
# Default return values
'''
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'}
# import pydevd
# pydevd.settrace('localhost', port=60374, stdoutToServer=True, stderrToServer=True)
from ansible.module_utils.basic import AnsibleModule
from ansible.module_utils._text import to_native
try:
import pan.xapi
from pan.xapi import PanXapiError
import pandevice
from pandevice import base
from pandevice import firewall
from pandevice import panorama
from pandevice import objects
from pandevice import policies
import xmltodict
import json
HAS_LIB = True
except ImportError:
HAS_LIB = False
def get_devicegroup(device, devicegroup):
dg_list = device.refresh_devices()
for group in dg_list:
if isinstance(group, pandevice.panorama.DeviceGroup):
if group.name == devicegroup:
return group
return False
def get_rulebase(device, devicegroup):
# Build the rulebase
if isinstance(device, pandevice.firewall.Firewall):
rulebase = pandevice.policies.Rulebase()
device.add(rulebase)
elif isinstance(device, pandevice.panorama.Panorama):
dg = panorama.DeviceGroup(devicegroup)
device.add(dg)
rulebase = policies.PreRulebase()
dg.add(rulebase)
else:
return False
policies.NatRule.refreshall(rulebase)
return rulebase
def find_rule(rulebase, rule_name):
# Search for the rule name
rule = rulebase.find(rule_name)
if rule:
return rule
else:
return False
def create_nat_rule(**kwargs):
nat_rule = policies.NatRule(
name=kwargs['rule_name'],
description=kwargs['description'],
fromzone=kwargs['source_zone'],
source=kwargs['source_ip'],
tozone=kwargs['destination_zone'],
destination=kwargs['destination_ip'],
service=kwargs['service'],
to_interface=kwargs['to_interface'],
nat_type=kwargs['nat_type']
)
# Source translation: Static IP
if kwargs['snat_type'] in ['static-ip'] and kwargs['snat_static_address']:
nat_rule.source_translation_type = kwargs['snat_type']
nat_rule.source_translation_static_translated_address = kwargs['snat_static_address']
# Bi-directional flag set?
if kwargs['snat_bidirectional']:
nat_rule.source_translation_static_bi_directional = kwargs['snat_bidirectional']
# Source translation: Dynamic IP and port
elif kwargs['snat_type'] in ['dynamic-ip-and-port']:
nat_rule.source_translation_type = kwargs['snat_type']
nat_rule.source_translation_address_type = kwargs['snat_address_type']
# Interface address?
if kwargs['snat_interface']:
nat_rule.source_translation_interface = kwargs['snat_interface']
# Interface IP?
if kwargs['snat_interface_address']:
nat_rule.source_translation_ip_address = kwargs['snat_interface_address']
else:
nat_rule.source_translation_translated_addresses = kwargs['snat_dynamic_address']
# Source translation: Dynamic IP
elif kwargs['snat_type'] in ['dynamic-ip']:
if kwargs['snat_dynamic_address']:
nat_rule.source_translation_type = kwargs['snat_type']
nat_rule.source_translation_translated_addresses = kwargs['snat_dynamic_address']
else:
return False
# Destination translation
if kwargs['dnat_address']:
nat_rule.destination_translated_address = kwargs['dnat_address']
if kwargs['dnat_port']:
nat_rule.destination_translated_port = kwargs['dnat_port']
# Any tags?
if 'tag_name' in kwargs:
nat_rule.tag = kwargs['tag_name']
return nat_rule
def add_rule(rulebase, nat_rule):
if rulebase:
rulebase.add(nat_rule)
nat_rule.create()
return True
else:
return False
def update_rule(rulebase, nat_rule):
if rulebase:
rulebase.add(nat_rule)
nat_rule.apply()
return True
else:
return False
def main():
argument_spec = dict(
ip_address=dict(required=True),
username=dict(default='admin'),
password=dict(required=True, no_log=True),
api_key=dict(no_log=True),
operation=dict(required=True, choices=['add', 'update', 'delete', 'find']),
rule_name=dict(required=True),
description=dict(),
tag_name=dict(),
source_zone=dict(type='list'),
source_ip=dict(type='list', default=['any']),
destination_zone=dict(),
destination_ip=dict(type='list', default=['any']),
service=dict(default='any'),
to_interface=dict(default='any'),
snat_type=dict(choices=['static-ip', 'dynamic-ip-and-port', 'dynamic-ip']),
snat_address_type=dict(choices=['interface-address', 'translated-address'], default='interface-address'),
snat_static_address=dict(),
snat_dynamic_address=dict(type='list'),
snat_interface=dict(),
snat_interface_address=dict(),
snat_bidirectional=dict(type='bool', default=False),
dnat_address=dict(),
dnat_port=dict(),
devicegroup=dict(),
commit=dict(type='bool', default=True)
)
module = AnsibleModule(argument_spec=argument_spec, supports_check_mode=False,
required_one_of=[['api_key', 'password']])
if not HAS_LIB:
module.fail_json(msg='Missing required libraries.')
ip_address = module.params["ip_address"]
password = module.params["password"]
username = module.params['username']
api_key = module.params['api_key']
operation = module.params['operation']
rule_name = module.params['rule_name']
description = module.params['description']
tag_name = module.params['tag_name']
source_zone = module.params['source_zone']
source_ip = module.params['source_ip']
destination_zone = module.params['destination_zone']
destination_ip = module.params['destination_ip']
service = module.params['service']
to_interface = module.params['to_interface']
nat_type = 'ipv4'
snat_type = module.params['snat_type']
snat_address_type = module.params['snat_address_type']
snat_static_address = module.params['snat_static_address']
snat_dynamic_address = module.params['snat_dynamic_address']
snat_interface = module.params['snat_interface']
snat_interface_address = module.params['snat_interface_address']
snat_bidirectional = module.params['snat_bidirectional']
dnat_address = module.params['dnat_address']
dnat_port = module.params['dnat_port']
devicegroup = module.params['devicegroup']
commit = module.params['commit']
# Create the device with the appropriate pandevice type
device = base.PanDevice.create_from_device(ip_address, username, password, api_key=api_key)
# If Panorama, validate the devicegroup
dev_group = None
if devicegroup and isinstance(device, panorama.Panorama):
dev_group = get_devicegroup(device, devicegroup)
if dev_group:
device.add(dev_group)
else:
module.fail_json(msg='\'%s\' device group not found in Panorama. Is the name correct?' % devicegroup)
# Get the rulebase
rulebase = get_rulebase(device, dev_group)
# Which action shall we take on the object?
if operation == "find":
# Search for the rule
match = find_rule(rulebase, rule_name)
# If found, format and return the result
if match:
match_dict = xmltodict.parse(match.element_str())
module.exit_json(
stdout_lines=json.dumps(match_dict, indent=2),
msg='Rule matched'
)
else:
module.fail_json(msg='Rule \'%s\' not found. Is the name correct?' % rule_name)
elif operation == "delete":
# Search for the object
match = find_rule(rulebase, rule_name)
# If found, delete it
if match:
try:
match.delete()
if commit:
device.commit(sync=True)
except PanXapiError as exc:
module.fail_json(msg=to_native(exc))
module.exit_json(changed=True, msg='Rule \'%s\' successfully deleted.' % rule_name)
else:
module.fail_json(msg='Rule \'%s\' not found. Is the name correct?' % rule_name)
elif operation == "add":
# Look for required parameters
if source_zone and destination_zone and nat_type:
pass
else:
module.fail_json(msg='Missing parameter. Required: source_zone, destination_zone, nat_type')
# Search for the rule. Fail if found.
match = find_rule(rulebase, rule_name)
if match:
module.fail_json(msg='Rule \'%s\' already exists. Use operation: \'update\' to change it.' % rule_name)
else:
try:
new_rule = create_nat_rule(
rule_name=rule_name,
description=description,
tag_name=tag_name,
source_zone=source_zone,
destination_zone=destination_zone,
source_ip=source_ip,
destination_ip=destination_ip,
service=service,
to_interface=to_interface,
nat_type=nat_type,
snat_type=snat_type,
snat_address_type=snat_address_type,
snat_static_address=snat_static_address,
snat_dynamic_address=snat_dynamic_address,
snat_interface=snat_interface,
snat_interface_address=snat_interface_address,
snat_bidirectional=snat_bidirectional,
dnat_address=dnat_address,
dnat_port=dnat_port
)
changed = add_rule(rulebase, new_rule)
if changed and commit:
device.commit(sync=True)
except PanXapiError as exc:
module.fail_json(msg=to_native(exc))
module.exit_json(changed=changed, msg='Rule \'%s\' successfully added.' % rule_name)
elif operation == 'update':
# Search for the rule. Update if found.
match = find_rule(rulebase, rule_name)
if match:
try:
new_rule = create_nat_rule(
rule_name=rule_name,
description=description,
tag_name=tag_name,
source_zone=source_zone,
destination_zone=destination_zone,
source_ip=source_ip,
destination_ip=destination_ip,
service=service,
to_interface=to_interface,
nat_type=nat_type,
snat_type=snat_type,
snat_address_type=snat_address_type,
snat_static_address=snat_static_address,
snat_dynamic_address=snat_dynamic_address,
snat_interface=snat_interface,
snat_interface_address=snat_interface_address,
snat_bidirectional=snat_bidirectional,
dnat_address=dnat_address,
dnat_port=dnat_port
)
changed = update_rule(rulebase, new_rule)
if changed and commit:
device.commit(sync=True)
except PanXapiError as exc:
module.fail_json(msg=to_native(exc))
module.exit_json(changed=changed, msg='Rule \'%s\' successfully updated.' % rule_name)
else:
module.fail_json(msg='Rule \'%s\' does not exist. Use operation: \'add\' to add it.' % rule_name)
if __name__ == '__main__':
main()
|
gpl-3.0
|
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cryptobanana/ansible
|
lib/ansible/modules/cloud/google/gcp_healthcheck.py
|
49
|
15554
|
#!/usr/bin/python
# Copyright 2017 Google Inc.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'}
DOCUMENTATION = '''
---
module: gcp_healthcheck
version_added: "2.4"
short_description: Create, Update or Destroy a Healthcheck.
description:
- Create, Update or Destroy a Healthcheck. Currently only HTTP and
HTTPS Healthchecks are supported. Healthchecks are used to monitor
individual instances, managed instance groups and/or backend
services. Healtchecks are reusable.
- Visit
U(https://cloud.google.com/compute/docs/load-balancing/health-checks)
for an overview of Healthchecks on GCP.
- See
U(https://cloud.google.com/compute/docs/reference/latest/httpHealthChecks) for
API details on HTTP Healthchecks.
- See
U(https://cloud.google.com/compute/docs/reference/latest/httpsHealthChecks)
for more details on the HTTPS Healtcheck API.
requirements:
- "python >= 2.6"
- "google-api-python-client >= 1.6.2"
- "google-auth >= 0.9.0"
- "google-auth-httplib2 >= 0.0.2"
notes:
- Only supports HTTP and HTTPS Healthchecks currently.
author:
- "Tom Melendez (@supertom) <tom@supertom.com>"
options:
check_interval:
description:
- How often (in seconds) to send a health check.
required: false
default: 5
healthcheck_name:
description:
- Name of the Healthcheck.
required: true
healthcheck_type:
description:
- Type of Healthcheck.
required: true
choices: ["HTTP", "HTTPS"]
host_header:
description:
- The value of the host header in the health check request. If left
empty, the public IP on behalf of which this health
check is performed will be used.
required: true
default: ""
port:
description:
- The TCP port number for the health check request. The default value is
443 for HTTPS and 80 for HTTP.
required: false
request_path:
description:
- The request path of the HTTPS health check request.
required: false
default: "/"
state:
description: State of the Healthcheck.
required: true
choices: ["present", "absent"]
timeout:
description:
- How long (in seconds) to wait for a response before claiming
failure. It is invalid for timeout
to have a greater value than check_interval.
required: false
default: 5
unhealthy_threshold:
description:
- A so-far healthy instance will be marked unhealthy after this
many consecutive failures.
required: false
default: 2
healthy_threshold:
description:
- A so-far unhealthy instance will be marked healthy after this
many consecutive successes.
required: false
default: 2
service_account_email:
description:
- service account email
required: false
default: null
service_account_permissions:
version_added: "2.0"
description:
- service account permissions (see
U(https://cloud.google.com/sdk/gcloud/reference/compute/instances/create),
--scopes section for detailed information)
required: false
default: null
choices: [
"bigquery", "cloud-platform", "compute-ro", "compute-rw",
"useraccounts-ro", "useraccounts-rw", "datastore", "logging-write",
"monitoring", "sql-admin", "storage-full", "storage-ro",
"storage-rw", "taskqueue", "userinfo-email"
]
credentials_file:
description:
- Path to the JSON file associated with the service account email
default: null
required: false
project_id:
description:
- Your GCP project ID
required: false
default: null
'''
EXAMPLES = '''
- name: Create Minimum HealthCheck
gcp_healthcheck:
service_account_email: "{{ service_account_email }}"
credentials_file: "{{ credentials_file }}"
project_id: "{{ project_id }}"
healthcheck_name: my-healthcheck
healthcheck_type: HTTP
state: present
- name: Create HTTP HealthCheck
gcp_healthcheck:
service_account_email: "{{ service_account_email }}"
credentials_file: "{{ credentials_file }}"
project_id: "{{ project_id }}"
healthcheck_name: my-healthcheck
healthcheck_type: HTTP
host: my-host
request_path: /hc
check_interval: 10
timeout: 30
unhealthy_threshhold: 2
healthy_threshhold: 1
state: present
- name: Create HTTPS HealthCheck
gcp_healthcheck:
service_account_email: "{{ service_account_email }}"
credentials_file: "{{ credentials_file }}"
project_id: "{{ project_id }}"
healthcheck_name: "{{ https_healthcheck }}"
healthcheck_type: HTTPS
host_header: my-host
request_path: /hc
check_interval: 5
timeout: 5
unhealthy_threshold: 2
healthy_threshold: 1
state: present
'''
RETURN = '''
state:
description: state of the Healthcheck
returned: Always.
type: str
sample: present
healthcheck_name:
description: Name of the Healthcheck
returned: Always
type: str
sample: my-url-map
healthcheck_type:
description: Type of the Healthcheck
returned: Always
type: str
sample: HTTP
healthcheck:
description: GCP Healthcheck dictionary
returned: Always. Refer to GCP documentation for detailed field descriptions.
type: dict
sample: { "name": "my-hc", "port": 443, "requestPath": "/foo" }
'''
from ansible.module_utils.basic import AnsibleModule
from ansible.module_utils.gcp import get_google_api_client, GCPUtils
USER_AGENT_PRODUCT = 'ansible-healthcheck'
USER_AGENT_VERSION = '0.0.1'
def _validate_healthcheck_params(params):
"""
Validate healthcheck params.
Simple validation has already assumed by AnsibleModule.
:param params: Ansible dictionary containing configuration.
:type params: ``dict``
:return: True or raises ValueError
:rtype: ``bool`` or `class:ValueError`
"""
if params['timeout'] > params['check_interval']:
raise ValueError("timeout (%s) is greater than check_interval (%s)" % (
params['timeout'], params['check_interval']))
return (True, '')
def _build_healthcheck_dict(params):
"""
Reformat services in Ansible Params for GCP.
:param params: Params from AnsibleModule object
:type params: ``dict``
:param project_id: The GCP project ID.
:type project_id: ``str``
:return: dictionary suitable for submission to GCP
HealthCheck (HTTP/HTTPS) API.
:rtype ``dict``
"""
gcp_dict = GCPUtils.params_to_gcp_dict(params, 'healthcheck_name')
if 'timeout' in gcp_dict:
gcp_dict['timeoutSec'] = gcp_dict['timeout']
del gcp_dict['timeout']
if 'checkInterval' in gcp_dict:
gcp_dict['checkIntervalSec'] = gcp_dict['checkInterval']
del gcp_dict['checkInterval']
if 'hostHeader' in gcp_dict:
gcp_dict['host'] = gcp_dict['hostHeader']
del gcp_dict['hostHeader']
if 'healthcheckType' in gcp_dict:
del gcp_dict['healthcheckType']
return gcp_dict
def _get_req_resource(client, resource_type):
if resource_type == 'HTTPS':
return (client.httpsHealthChecks(), 'httpsHealthCheck')
else:
return (client.httpHealthChecks(), 'httpHealthCheck')
def get_healthcheck(client, name, project_id=None, resource_type='HTTP'):
"""
Get a Healthcheck from GCP.
:param client: An initialized GCE Compute Disovery resource.
:type client: :class: `googleapiclient.discovery.Resource`
:param name: Name of the Url Map.
:type name: ``str``
:param project_id: The GCP project ID.
:type project_id: ``str``
:return: A dict resp from the respective GCP 'get' request.
:rtype: ``dict``
"""
try:
resource, entity_name = _get_req_resource(client, resource_type)
args = {'project': project_id, entity_name: name}
req = resource.get(**args)
return GCPUtils.execute_api_client_req(req, raise_404=False)
except:
raise
def create_healthcheck(client, params, project_id, resource_type='HTTP'):
"""
Create a new Healthcheck.
:param client: An initialized GCE Compute Disovery resource.
:type client: :class: `googleapiclient.discovery.Resource`
:param params: Dictionary of arguments from AnsibleModule.
:type params: ``dict``
:return: Tuple with changed status and response dict
:rtype: ``tuple`` in the format of (bool, dict)
"""
gcp_dict = _build_healthcheck_dict(params)
try:
resource, _ = _get_req_resource(client, resource_type)
args = {'project': project_id, 'body': gcp_dict}
req = resource.insert(**args)
return_data = GCPUtils.execute_api_client_req(req, client, raw=False)
if not return_data:
return_data = get_healthcheck(client,
name=params['healthcheck_name'],
project_id=project_id)
return (True, return_data)
except:
raise
def delete_healthcheck(client, name, project_id, resource_type='HTTP'):
"""
Delete a Healthcheck.
:param client: An initialized GCE Compute Disover resource.
:type client: :class: `googleapiclient.discovery.Resource`
:param name: Name of the Url Map.
:type name: ``str``
:param project_id: The GCP project ID.
:type project_id: ``str``
:return: Tuple with changed status and response dict
:rtype: ``tuple`` in the format of (bool, dict)
"""
try:
resource, entity_name = _get_req_resource(client, resource_type)
args = {'project': project_id, entity_name: name}
req = resource.delete(**args)
return_data = GCPUtils.execute_api_client_req(req, client)
return (True, return_data)
except:
raise
def update_healthcheck(client, healthcheck, params, name, project_id,
resource_type='HTTP'):
"""
Update a Healthcheck.
If the healthcheck has not changed, the update will not occur.
:param client: An initialized GCE Compute Disovery resource.
:type client: :class: `googleapiclient.discovery.Resource`
:param healthcheck: Name of the Url Map.
:type healthcheck: ``dict``
:param params: Dictionary of arguments from AnsibleModule.
:type params: ``dict``
:param name: Name of the Url Map.
:type name: ``str``
:param project_id: The GCP project ID.
:type project_id: ``str``
:return: Tuple with changed status and response dict
:rtype: ``tuple`` in the format of (bool, dict)
"""
gcp_dict = _build_healthcheck_dict(params)
ans = GCPUtils.are_params_equal(healthcheck, gcp_dict)
if ans:
return (False, 'no update necessary')
try:
resource, entity_name = _get_req_resource(client, resource_type)
args = {'project': project_id, entity_name: name, 'body': gcp_dict}
req = resource.update(**args)
return_data = GCPUtils.execute_api_client_req(
req, client=client, raw=False)
return (True, return_data)
except:
raise
def main():
module = AnsibleModule(argument_spec=dict(
healthcheck_name=dict(required=True),
healthcheck_type=dict(required=True,
choices=['HTTP', 'HTTPS']),
request_path=dict(required=False, default='/'),
check_interval=dict(required=False, type='int', default=5),
healthy_threshold=dict(required=False, type='int', default=2),
unhealthy_threshold=dict(required=False, type='int', default=2),
host_header=dict(required=False, type='str', default=''),
timeout=dict(required=False, type='int', default=5),
port=dict(required=False, type='int'),
state=dict(choices=['absent', 'present'], default='present'),
service_account_email=dict(),
service_account_permissions=dict(type='list'),
credentials_file=dict(),
project_id=dict(), ), )
client, conn_params = get_google_api_client(module, 'compute', user_agent_product=USER_AGENT_PRODUCT,
user_agent_version=USER_AGENT_VERSION)
params = {}
params['healthcheck_name'] = module.params.get('healthcheck_name')
params['healthcheck_type'] = module.params.get('healthcheck_type')
params['request_path'] = module.params.get('request_path')
params['check_interval'] = module.params.get('check_interval')
params['healthy_threshold'] = module.params.get('healthy_threshold')
params['unhealthy_threshold'] = module.params.get('unhealthy_threshold')
params['host_header'] = module.params.get('host_header')
params['timeout'] = module.params.get('timeout')
params['port'] = module.params.get('port', None)
params['state'] = module.params.get('state')
if not params['port']:
params['port'] = 80
if params['healthcheck_type'] == 'HTTPS':
params['port'] = 443
try:
_validate_healthcheck_params(params)
except Exception as e:
module.fail_json(msg=e.message, changed=False)
changed = False
json_output = {'state': params['state']}
healthcheck = get_healthcheck(client,
name=params['healthcheck_name'],
project_id=conn_params['project_id'],
resource_type=params['healthcheck_type'])
if not healthcheck:
if params['state'] == 'absent':
# Doesn't exist in GCE, and state==absent.
changed = False
module.fail_json(
msg="Cannot delete unknown healthcheck: %s" %
(params['healthcheck_name']))
else:
# Create
changed, json_output['healthcheck'] = create_healthcheck(client,
params=params,
project_id=conn_params['project_id'],
resource_type=params['healthcheck_type'])
elif params['state'] == 'absent':
# Delete
changed, json_output['healthcheck'] = delete_healthcheck(client,
name=params['healthcheck_name'],
project_id=conn_params['project_id'],
resource_type=params['healthcheck_type'])
else:
changed, json_output['healthcheck'] = update_healthcheck(client,
healthcheck=healthcheck,
params=params,
name=params['healthcheck_name'],
project_id=conn_params['project_id'],
resource_type=params['healthcheck_type'])
json_output['changed'] = changed
json_output.update(params)
module.exit_json(**json_output)
if __name__ == '__main__':
main()
|
gpl-3.0
|
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jiangzhixiao/odoo
|
openerp/report/render/makohtml2html/__init__.py
|
381
|
1084
|
# -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2004-2009 Tiny SPRL (<http://tiny.be>).
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
##############################################################################
from makohtml2html import parseNode
# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
|
agpl-3.0
|
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ianmabie/uberpy
|
venv/lib/python2.7/site-packages/pip/_vendor/cachecontrol/heuristics.py
|
374
|
4053
|
import calendar
import time
from email.utils import formatdate, parsedate, parsedate_tz
from datetime import datetime, timedelta
TIME_FMT = "%a, %d %b %Y %H:%M:%S GMT"
def expire_after(delta, date=None):
date = date or datetime.now()
return date + delta
def datetime_to_header(dt):
return formatdate(calendar.timegm(dt.timetuple()))
class BaseHeuristic(object):
def warning(self, response):
"""
Return a valid 1xx warning header value describing the cache
adjustments.
The response is provided too allow warnings like 113
http://tools.ietf.org/html/rfc7234#section-5.5.4 where we need
to explicitly say response is over 24 hours old.
"""
return '110 - "Response is Stale"'
def update_headers(self, response):
"""Update the response headers with any new headers.
NOTE: This SHOULD always include some Warning header to
signify that the response was cached by the client, not
by way of the provided headers.
"""
return {}
def apply(self, response):
warning_header_value = self.warning(response)
response.headers.update(self.update_headers(response))
if warning_header_value is not None:
response.headers.update({'Warning': warning_header_value})
return response
class OneDayCache(BaseHeuristic):
"""
Cache the response by providing an expires 1 day in the
future.
"""
def update_headers(self, response):
headers = {}
if 'expires' not in response.headers:
date = parsedate(response.headers['date'])
expires = expire_after(timedelta(days=1),
date=datetime(*date[:6]))
headers['expires'] = datetime_to_header(expires)
headers['cache-control'] = 'public'
return headers
class ExpiresAfter(BaseHeuristic):
"""
Cache **all** requests for a defined time period.
"""
def __init__(self, **kw):
self.delta = timedelta(**kw)
def update_headers(self, response):
expires = expire_after(self.delta)
return {
'expires': datetime_to_header(expires),
'cache-control': 'public',
}
def warning(self, response):
tmpl = '110 - Automatically cached for %s. Response might be stale'
return tmpl % self.delta
class LastModified(BaseHeuristic):
"""
If there is no Expires header already, fall back on Last-Modified
using the heuristic from
http://tools.ietf.org/html/rfc7234#section-4.2.2
to calculate a reasonable value.
Firefox also does something like this per
https://developer.mozilla.org/en-US/docs/Web/HTTP/Caching_FAQ
http://lxr.mozilla.org/mozilla-release/source/netwerk/protocol/http/nsHttpResponseHead.cpp#397
Unlike mozilla we limit this to 24-hr.
"""
cacheable_by_default_statuses = set([
200, 203, 204, 206, 300, 301, 404, 405, 410, 414, 501
])
def update_headers(self, resp):
headers = resp.headers
if 'expires' in headers:
return {}
if 'cache-control' in headers and headers['cache-control'] != 'public':
return {}
if resp.status not in self.cacheable_by_default_statuses:
return {}
if 'date' not in headers or 'last-modified' not in headers:
return {}
date = calendar.timegm(parsedate_tz(headers['date']))
last_modified = parsedate(headers['last-modified'])
if date is None or last_modified is None:
return {}
now = time.time()
current_age = max(0, now - date)
delta = date - calendar.timegm(last_modified)
freshness_lifetime = max(0, min(delta / 10, 24 * 3600))
if freshness_lifetime <= current_age:
return {}
expires = date + freshness_lifetime
return {'expires': time.strftime(TIME_FMT, time.gmtime(expires))}
def warning(self, resp):
return None
|
mit
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] |
aravindalwan/unyque
|
unyque/rdimension.py
|
1
|
3726
|
'''Representation of a random variable used in stochastic collocation'''
__copyright__ = 'Copyright (C) 2011 Aravind Alwan'
__license__ = '''
This file is part of UnyQuE.
UnyQuE is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
UnyQuE is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
For a copy of the GNU General Public License, please see
<http://www.gnu.org/licenses/>.
'''
class RandomDimension(object):
'''Random dimension object that encapsulates the operations along one of the
dimensions in random space, which corresponds to one of the random variables
'''
kmax = 0
nodes = None
def __init__(self, bound):
self._bound = bound
@classmethod
def set_maximum_interp_level(cls, value):
cls.kmax = value
cls._init_nodes()
@classmethod
def _init_nodes(cls):
'''Initialize nodes in a hierarchical fashion as a list of sublists,
where each sublist contains the nodes added at the corresponding level
'''
cls.nodes = []
if cls.kmax > 0:
cls.nodes.append([0.5])
if cls.kmax > 1:
cls.nodes.append([0.0, 1.0])
if cls.kmax > 2:
for k in xrange(3, cls.kmax+1):
cls.nodes.append([
(1.0 + 2.0*j)/(2**(k-1)) for j in xrange(2**(k-2))])
def get_node(self, level, idx, normalized = False):
'''Return the scaled coordinates of a node at the given level and index
'''
if normalized:
return self.nodes[level-1][idx]
else:
lo = self._bound[0]
hi = self._bound[1]
return lo + (hi-lo)*self.nodes[level-1][idx]
@classmethod
def _interpolate(cls, pt1, x2):
'''Evaluate basis function centered at pt1, at x2. pt1 has to be a
tuple of the form (level, index) that specifies the interpolation level
and the index of the node at that level. x2 is any float value between
0 and 1, specifying the location where the basis function is to be
evaluated.
'''
level1, idx1 = pt1
x1 = cls.nodes[level1-1][idx1]
if level1 == 1:
return 1.0
else:
m = 2**(level1-1) + 1 # Number of nodes at this level
return (abs(x1-x2) < 1./(m-1)) * (1. - (m-1)*abs(x1-x2))
def interpolate(self, pt1, x):
'''Evaluate basis function centered at pt1, at the location x. This
method scales x to be in [0,1] and calls _interpolate to get the actual
interpolated value
'''
lo = self._bound[0]
hi = self._bound[1]
if lo <= x <= hi:
return self._interpolate(pt1, float(x-lo)/float(hi-lo))
else:
return 0.
def get_basis_function(self, pt):
'''Return bounds of the piece-wise linear basis function centered at pt.
'''
lo = self._bound[0]
hi = self._bound[1]
level, idx = pt
if level == 1:
return (lo, hi, pt)
elif level == 2:
lo = (lo + hi)/2 if idx == 1 else lo
hi = (lo + hi)/2 if idx == 0 else hi
return (lo, hi, pt)
else:
m = 2**(level-1) + 1 # Number of nodes at this level
x = lo + (hi-lo)*self.nodes[level-1][idx]
return (x-(hi-lo)/(m-1), x+(hi-lo)/(m-1), pt)
|
gpl-3.0
|
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trunca/enigma2
|
lib/python/Components/Renderer/Watchew.py
|
15
|
2831
|
## Now FTA-render ;)
import math
from Renderer import Renderer
from skin import parseColor
from enigma import eCanvas, eSize, gRGB, eRect
from Components.VariableText import VariableText
from Components.config import config
class Watchew(Renderer):
def __init__(self):
Renderer.__init__(self)
self.fColor = gRGB(255, 255, 255, 0)
self.bColor = gRGB(0, 0, 0, 255)
self.numval = -1
GUI_WIDGET = eCanvas
def applySkin(self, desktop, parent):
attribs = []
for (attrib, what,) in self.skinAttributes:
if (attrib == 'foregroundColor'):
self.fColor = parseColor(what)
elif (attrib == 'backgroundColor'):
self.bColor = parseColor(what)
else:
attribs.append((attrib, what))
self.skinAttributes = attribs
return Renderer.applySkin(self, desktop, parent)
def calculate(self, w, r, m):
a = (w * 6)
z = (math.pi / 180)
x = int(round((r * math.sin((a * z)))))
y = int(round((r * math.cos((a * z)))))
return ((m + x),(m - y))
def hand(self):
width = self.instance.size().width()
height = self.instance.size().height()
r = (min(width, height) / 2)
(endX, endY,) = self.calculate(self.numval, r, r)
self.draw_line(r, r, endX, endY)
def draw_line(self, x0, y0, x1, y1):
steep = (abs((y1 - y0)) > abs((x1 - x0)))
if steep:
x0,y0 = y0,x0
x1,y1 = y1,x1
if (x0 > x1):
x0,x1 = x1,x0
y0,y1 = y1,y0
if (y0 < y1):
ystep = 1
else:
ystep = -1
deltax = (x1 - x0)
deltay = abs((y1 - y0))
error = (-deltax / 2)
y = y0
for x in range(x0, (x1 + 1)):
if steep:
self.instance.fillRect(eRect(y, x, 3, 3), self.fColor)
else:
self.instance.fillRect(eRect(x, y, 3, 3), self.fColor)
error = (error + deltay)
if (error > 0):
y = (y + ystep)
error = (error - deltax)
def changed(self, what):
sss = self.source.value
if (what[0] == self.CHANGED_CLEAR):
pass
elif self.instance:
self.instance.show()
if (self.numval != sss):
self.numval = sss
self.instance.clear(self.bColor)
self.hand()
def postWidgetCreate(self, instance):
def parseSize(str):
(x, y,) = str.split(',')
return eSize(int(x), int(y))
for (attrib, value,) in self.skinAttributes:
if ((attrib == 'size') and self.instance.setSize(parseSize(value))):
pass
self.instance.clear(self.bColor)
|
gpl-2.0
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lodemo/CATANA
|
src/face_recognition/youtube_dl/postprocessor/embedthumbnail.py
|
41
|
3499
|
# coding: utf-8
from __future__ import unicode_literals
import os
import subprocess
from .ffmpeg import FFmpegPostProcessor
from ..utils import (
check_executable,
encodeArgument,
encodeFilename,
PostProcessingError,
prepend_extension,
shell_quote
)
class EmbedThumbnailPPError(PostProcessingError):
pass
class EmbedThumbnailPP(FFmpegPostProcessor):
def __init__(self, downloader=None, already_have_thumbnail=False):
super(EmbedThumbnailPP, self).__init__(downloader)
self._already_have_thumbnail = already_have_thumbnail
def run(self, info):
filename = info['filepath']
temp_filename = prepend_extension(filename, 'temp')
if not info.get('thumbnails'):
raise EmbedThumbnailPPError('Thumbnail was not found. Nothing to do.')
thumbnail_filename = info['thumbnails'][-1]['filename']
if not os.path.exists(encodeFilename(thumbnail_filename)):
self._downloader.report_warning(
'Skipping embedding the thumbnail because the file is missing.')
return [], info
if info['ext'] == 'mp3':
options = [
'-c', 'copy', '-map', '0', '-map', '1',
'-metadata:s:v', 'title="Album cover"', '-metadata:s:v', 'comment="Cover (Front)"']
self._downloader.to_screen('[ffmpeg] Adding thumbnail to "%s"' % filename)
self.run_ffmpeg_multiple_files([filename, thumbnail_filename], temp_filename, options)
if not self._already_have_thumbnail:
os.remove(encodeFilename(thumbnail_filename))
os.remove(encodeFilename(filename))
os.rename(encodeFilename(temp_filename), encodeFilename(filename))
elif info['ext'] in ['m4a', 'mp4']:
if not check_executable('AtomicParsley', ['-v']):
raise EmbedThumbnailPPError('AtomicParsley was not found. Please install.')
cmd = [encodeFilename('AtomicParsley', True),
encodeFilename(filename, True),
encodeArgument('--artwork'),
encodeFilename(thumbnail_filename, True),
encodeArgument('-o'),
encodeFilename(temp_filename, True)]
self._downloader.to_screen('[atomicparsley] Adding thumbnail to "%s"' % filename)
if self._downloader.params.get('verbose', False):
self._downloader.to_screen('[debug] AtomicParsley command line: %s' % shell_quote(cmd))
p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout, stderr = p.communicate()
if p.returncode != 0:
msg = stderr.decode('utf-8', 'replace').strip()
raise EmbedThumbnailPPError(msg)
if not self._already_have_thumbnail:
os.remove(encodeFilename(thumbnail_filename))
# for formats that don't support thumbnails (like 3gp) AtomicParsley
# won't create to the temporary file
if b'No changes' in stdout:
self._downloader.report_warning('The file format doesn\'t support embedding a thumbnail')
else:
os.remove(encodeFilename(filename))
os.rename(encodeFilename(temp_filename), encodeFilename(filename))
else:
raise EmbedThumbnailPPError('Only mp3 and m4a/mp4 are supported for thumbnail embedding for now.')
return [], info
|
mit
|
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debugger22/sympy
|
sympy/physics/quantum/operatorordering.py
|
98
|
11547
|
"""Functions for reordering operator expressions."""
import warnings
from sympy import Add, Mul, Pow, Integer
from sympy.core.compatibility import range
from sympy.physics.quantum import Operator, Commutator, AntiCommutator
from sympy.physics.quantum.boson import BosonOp
from sympy.physics.quantum.fermion import FermionOp
__all__ = [
'normal_order',
'normal_ordered_form'
]
def _expand_powers(factors):
"""
Helper function for normal_ordered_form and normal_order: Expand a
power expression to a multiplication expression so that that the
expression can be handled by the normal ordering functions.
"""
new_factors = []
for factor in factors.args:
if (isinstance(factor, Pow)
and isinstance(factor.args[1], Integer)
and factor.args[1] > 0):
for n in range(factor.args[1]):
new_factors.append(factor.args[0])
else:
new_factors.append(factor)
return new_factors
def _normal_ordered_form_factor(product, independent=False, recursive_limit=10,
_recursive_depth=0):
"""
Helper function for normal_ordered_form_factor: Write multiplication
expression with bosonic or fermionic operators on normally ordered form,
using the bosonic and fermionic commutation relations. The resulting
operator expression is equivalent to the argument, but will in general be
a sum of operator products instead of a simple product.
"""
factors = _expand_powers(product)
new_factors = []
n = 0
while n < len(factors) - 1:
if isinstance(factors[n], BosonOp):
# boson
if not isinstance(factors[n + 1], BosonOp):
new_factors.append(factors[n])
elif factors[n].is_annihilation == factors[n + 1].is_annihilation:
if (independent and
str(factors[n].name) > str(factors[n + 1].name)):
new_factors.append(factors[n + 1])
new_factors.append(factors[n])
n += 1
else:
new_factors.append(factors[n])
elif not factors[n].is_annihilation:
new_factors.append(factors[n])
else:
if factors[n + 1].is_annihilation:
new_factors.append(factors[n])
else:
if factors[n].args[0] != factors[n + 1].args[0]:
if independent:
c = 0
else:
c = Commutator(factors[n], factors[n + 1])
new_factors.append(factors[n + 1] * factors[n] + c)
else:
c = Commutator(factors[n], factors[n + 1])
new_factors.append(
factors[n + 1] * factors[n] + c.doit())
n += 1
elif isinstance(factors[n], FermionOp):
# fermion
if not isinstance(factors[n + 1], FermionOp):
new_factors.append(factors[n])
elif factors[n].is_annihilation == factors[n + 1].is_annihilation:
if (independent and
str(factors[n].name) > str(factors[n + 1].name)):
new_factors.append(factors[n + 1])
new_factors.append(factors[n])
n += 1
else:
new_factors.append(factors[n])
elif not factors[n].is_annihilation:
new_factors.append(factors[n])
else:
if factors[n + 1].is_annihilation:
new_factors.append(factors[n])
else:
if factors[n].args[0] != factors[n + 1].args[0]:
if independent:
c = 0
else:
c = AntiCommutator(factors[n], factors[n + 1])
new_factors.append(-factors[n + 1] * factors[n] + c)
else:
c = AntiCommutator(factors[n], factors[n + 1])
new_factors.append(
-factors[n + 1] * factors[n] + c.doit())
n += 1
elif isinstance(factors[n], Operator):
if isinstance(factors[n + 1], (BosonOp, FermionOp)):
new_factors.append(factors[n + 1])
new_factors.append(factors[n])
n += 1
else:
new_factors.append(factors[n])
else:
new_factors.append(factors[n])
n += 1
if n == len(factors) - 1:
new_factors.append(factors[-1])
if new_factors == factors:
return product
else:
expr = Mul(*new_factors).expand()
return normal_ordered_form(expr,
recursive_limit=recursive_limit,
_recursive_depth=_recursive_depth + 1,
independent=independent)
def _normal_ordered_form_terms(expr, independent=False, recursive_limit=10,
_recursive_depth=0):
"""
Helper function for normal_ordered_form: loop through each term in an
addition expression and call _normal_ordered_form_factor to perform the
factor to an normally ordered expression.
"""
new_terms = []
for term in expr.args:
if isinstance(term, Mul):
new_term = _normal_ordered_form_factor(
term, recursive_limit=recursive_limit,
_recursive_depth=_recursive_depth, independent=independent)
new_terms.append(new_term)
else:
new_terms.append(term)
return Add(*new_terms)
def normal_ordered_form(expr, independent=False, recursive_limit=10,
_recursive_depth=0):
"""Write an expression with bosonic or fermionic operators on normal
ordered form, where each term is normally ordered. Note that this
normal ordered form is equivalent to the original expression.
Parameters
==========
expr : expression
The expression write on normal ordered form.
recursive_limit : int (default 10)
The number of allowed recursive applications of the function.
Examples
========
>>> from sympy.physics.quantum import Dagger
>>> from sympy.physics.quantum.boson import BosonOp
>>> from sympy.physics.quantum.operatorordering import normal_ordered_form
>>> a = BosonOp("a")
>>> normal_ordered_form(a * Dagger(a))
1 + Dagger(a)*a
"""
if _recursive_depth > recursive_limit:
warnings.warn("Too many recursions, aborting")
return expr
if isinstance(expr, Add):
return _normal_ordered_form_terms(expr,
recursive_limit=recursive_limit,
_recursive_depth=_recursive_depth,
independent=independent)
elif isinstance(expr, Mul):
return _normal_ordered_form_factor(expr,
recursive_limit=recursive_limit,
_recursive_depth=_recursive_depth,
independent=independent)
else:
return expr
def _normal_order_factor(product, recursive_limit=10, _recursive_depth=0):
"""
Helper function for normal_order: Normal order a multiplication expression
with bosonic or fermionic operators. In general the resulting operator
expression will not be equivalent to original product.
"""
factors = _expand_powers(product)
n = 0
new_factors = []
while n < len(factors) - 1:
if (isinstance(factors[n], BosonOp) and
factors[n].is_annihilation):
# boson
if not isinstance(factors[n + 1], BosonOp):
new_factors.append(factors[n])
else:
if factors[n + 1].is_annihilation:
new_factors.append(factors[n])
else:
if factors[n].args[0] != factors[n + 1].args[0]:
new_factors.append(factors[n + 1] * factors[n])
else:
new_factors.append(factors[n + 1] * factors[n])
n += 1
elif (isinstance(factors[n], FermionOp) and
factors[n].is_annihilation):
# fermion
if not isinstance(factors[n + 1], FermionOp):
new_factors.append(factors[n])
else:
if factors[n + 1].is_annihilation:
new_factors.append(factors[n])
else:
if factors[n].args[0] != factors[n + 1].args[0]:
new_factors.append(-factors[n + 1] * factors[n])
else:
new_factors.append(-factors[n + 1] * factors[n])
n += 1
else:
new_factors.append(factors[n])
n += 1
if n == len(factors) - 1:
new_factors.append(factors[-1])
if new_factors == factors:
return product
else:
expr = Mul(*new_factors).expand()
return normal_order(expr,
recursive_limit=recursive_limit,
_recursive_depth=_recursive_depth + 1)
def _normal_order_terms(expr, recursive_limit=10, _recursive_depth=0):
"""
Helper function for normal_order: look through each term in an addition
expression and call _normal_order_factor to perform the normal ordering
on the factors.
"""
new_terms = []
for term in expr.args:
if isinstance(term, Mul):
new_term = _normal_order_factor(term,
recursive_limit=recursive_limit,
_recursive_depth=_recursive_depth)
new_terms.append(new_term)
else:
new_terms.append(term)
return Add(*new_terms)
def normal_order(expr, recursive_limit=10, _recursive_depth=0):
"""Normal order an expression with bosonic or fermionic operators. Note
that this normal order is not equivalent to the original expression, but
the creation and annihilation operators in each term in expr is reordered
so that the expression becomes normal ordered.
Parameters
==========
expr : expression
The expression to normal order.
recursive_limit : int (default 10)
The number of allowed recursive applications of the function.
Examples
========
>>> from sympy.physics.quantum import Dagger
>>> from sympy.physics.quantum.boson import BosonOp
>>> from sympy.physics.quantum.operatorordering import normal_order
>>> a = BosonOp("a")
>>> normal_order(a * Dagger(a))
Dagger(a)*a
"""
if _recursive_depth > recursive_limit:
warnings.warn("Too many recursions, aborting")
return expr
if isinstance(expr, Add):
return _normal_order_terms(expr, recursive_limit=recursive_limit,
_recursive_depth=_recursive_depth)
elif isinstance(expr, Mul):
return _normal_order_factor(expr, recursive_limit=recursive_limit,
_recursive_depth=_recursive_depth)
else:
return expr
|
bsd-3-clause
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1228,
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gaddman/ansible
|
lib/ansible/modules/network/f5/bigiq_regkey_pool.py
|
3
|
12432
|
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2017 F5 Networks Inc.
# GNU General Public License v3.0 (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'certified'}
DOCUMENTATION = r'''
---
module: bigiq_regkey_pool
short_description: Manages registration key pools on BIG-IQ
description:
- Manages registration key (regkey) pools on a BIG-IQ. These pools function as
a container in-which you will add lists of registration keys. To add registration
keys, use the C(bigiq_regkey_license) module.
version_added: 2.5
options:
name:
description:
- Specifies the name of the registration key pool.
- You must be mindful to name your registration pools unique names. While
BIG-IQ does not require this, this module does. If you do not do this,
the behavior of the module is undefined and you may end up putting
licenses in the wrong registration key pool.
required: True
description:
description:
- A description to attach to the pool.
state:
description:
- The state of the regkey pool on the system.
- When C(present), guarantees that the pool exists.
- When C(absent), removes the pool, and the licenses it contains, from the
system.
default: present
choices:
- absent
- present
requirements:
- BIG-IQ >= 5.3.0
extends_documentation_fragment: f5
author:
- Tim Rupp (@caphrim007)
'''
EXAMPLES = r'''
- name: Create a registration key (regkey) pool to hold individual device licenses
bigiq_regkey_pool:
name: foo-pool
state: present
provider:
user: admin
password: secret
server: lb.mydomain.com
delegate_to: localhost
'''
RETURN = r'''
description:
description: New description of the regkey pool.
returned: changed
type: string
sample: My description
'''
from ansible.module_utils.basic import AnsibleModule
try:
from library.module_utils.network.f5.bigiq import F5RestClient
from library.module_utils.network.f5.common import F5ModuleError
from library.module_utils.network.f5.common import AnsibleF5Parameters
from library.module_utils.network.f5.common import f5_argument_spec
except ImportError:
from ansible.module_utils.network.f5.bigiq import F5RestClient
from ansible.module_utils.network.f5.common import F5ModuleError
from ansible.module_utils.network.f5.common import AnsibleF5Parameters
from ansible.module_utils.network.f5.common import f5_argument_spec
class Parameters(AnsibleF5Parameters):
api_map = {
}
api_attributes = [
'description'
]
returnables = [
'description'
]
updatables = [
'description'
]
def to_return(self):
result = {}
try:
for returnable in self.returnables:
result[returnable] = getattr(self, returnable)
result = self._filter_params(result)
except Exception:
pass
return result
class ModuleParameters(Parameters):
@property
def uuid(self):
"""Returns UUID of a given name
Will search for a given name and return the first one returned to us. If no name,
and therefore no ID, is found, will return the string "none". The string "none"
is returned because if we were to return the None value, it would cause the
license loading code to append a None string to the URI; essentially asking the
remote device for its collection (which we dont want and which would cause the SDK
to return an False error.
:return:
"""
collection = self.read_current_from_device()
resource = next((x for x in collection if x.name == self._values['name']), None)
if resource:
return resource.id
else:
return "none"
def read_current_from_device(self):
uri = "https://{0}:{1}/mgmt/cm/device/licensing/pool/regkey/licenses".format(
self.client.provider['server'],
self.client.provider['server_port'],
)
resp = self.client.api.get(uri)
try:
response = resp.json()
except ValueError as ex:
raise F5ModuleError(str(ex))
if 'code' in response and response['code'] == 400:
if 'message' in response:
raise F5ModuleError(response['message'])
else:
raise F5ModuleError(resp.content)
if 'items' not in response:
return []
result = [ApiParameters(params=r) for r in response['items']]
return result
class ApiParameters(Parameters):
@property
def uuid(self):
return self._values['id']
class Changes(Parameters):
pass
class ReportableChanges(Changes):
pass
class UsableChanges(Changes):
pass
class Difference(object):
def __init__(self, want, have=None):
self.want = want
self.have = have
def compare(self, param):
try:
result = getattr(self, param)
return result
except AttributeError:
return self.__default(param)
def __default(self, param):
attr1 = getattr(self.want, param)
try:
attr2 = getattr(self.have, param)
if attr1 != attr2:
return attr1
except AttributeError:
return attr1
class ModuleManager(object):
def __init__(self, *args, **kwargs):
self.module = kwargs.get('module', None)
self.client = kwargs.get('client', None)
self.client = F5RestClient(**self.module.params)
self.want = ModuleParameters(client=self.client, params=self.module.params)
self.have = ApiParameters()
self.changes = UsableChanges()
def _set_changed_options(self):
changed = {}
for key in Parameters.returnables:
if getattr(self.want, key) is not None:
changed[key] = getattr(self.want, key)
if changed:
self.changes = UsableChanges(params=changed)
def _update_changed_options(self):
diff = Difference(self.want, self.have)
updatables = Parameters.updatables
changed = dict()
for k in updatables:
change = diff.compare(k)
if change is None:
continue
else:
if isinstance(change, dict):
changed.update(change)
else:
changed[k] = change
if changed:
self.changes = Changes(params=changed)
return True
return False
def should_update(self):
result = self._update_changed_options()
if result:
return True
return False
def exec_module(self):
changed = False
result = dict()
state = self.want.state
if state == "present":
changed = self.present()
elif state == "absent":
changed = self.absent()
reportable = ReportableChanges(params=self.changes.to_return())
changes = reportable.to_return()
result.update(**changes)
result.update(dict(changed=changed))
self._announce_deprecations(result)
return result
def _announce_deprecations(self, result):
warnings = result.pop('__warnings', [])
for warning in warnings:
self.module.deprecate(
msg=warning['msg'],
version=warning['version']
)
def present(self):
if self.exists():
return self.update()
else:
return self.create()
def exists(self):
uri = "https://{0}:{1}/mgmt/cm/device/licensing/pool/regkey/licenses/{2}".format(
self.client.provider['server'],
self.client.provider['server_port'],
self.want.uuid,
)
resp = self.client.api.get(uri)
try:
response = resp.json()
except ValueError:
return False
if resp.status == 404 or 'code' in response and response['code'] == 404:
return False
return True
def update(self):
self.have = self.read_current_from_device()
if not self.should_update():
return False
if self.module.check_mode:
return True
self.update_on_device()
return True
def remove(self):
if self.module.check_mode:
return True
self.remove_from_device()
if self.exists():
raise F5ModuleError("Failed to delete the resource.")
return True
def create(self):
self._set_changed_options()
if self.module.check_mode:
return True
self.create_on_device()
return True
def create_on_device(self):
params = self.want.api_params()
params['name'] = self.want.name
uri = "https://{0}:{1}/mgmt/cm/device/licensing/pool/regkey/licenses/".format(
self.client.provider['server'],
self.client.provider['server_port'],
)
resp = self.client.api.post(uri, json=params)
try:
response = resp.json()
except ValueError as ex:
raise F5ModuleError(str(ex))
if 'code' in response and response['code'] in [400, 403]:
if 'message' in response:
raise F5ModuleError(response['message'])
else:
raise F5ModuleError(resp.content)
def update_on_device(self):
params = self.changes.api_params()
uri = "https://{0}:{1}/mgmt/cm/device/licensing/pool/regkey/licenses/{2}".format(
self.client.provider['server'],
self.client.provider['server_port'],
self.want.uuid
)
resp = self.client.api.patch(uri, json=params)
try:
response = resp.json()
except ValueError as ex:
raise F5ModuleError(str(ex))
if 'code' in response and response['code'] == 400:
if 'message' in response:
raise F5ModuleError(response['message'])
else:
raise F5ModuleError(resp.content)
def absent(self):
if self.exists():
return self.remove()
return False
def remove_from_device(self):
uri = "https://{0}:{1}/mgmt/cm/device/licensing/pool/regkey/licenses/{2}".format(
self.client.provider['server'],
self.client.provider['server_port'],
self.want.uuid
)
resp = self.client.api.delete(uri)
if resp.status == 200:
return True
def read_current_from_device(self):
uri = "https://{0}:{1}/mgmt/cm/device/licensing/pool/regkey/licenses/{2}".format(
self.client.provider['server'],
self.client.provider['server_port'],
self.want.uuid
)
resp = self.client.api.get(uri)
try:
response = resp.json()
except ValueError as ex:
raise F5ModuleError(str(ex))
if 'code' in response and response['code'] == 400:
if 'message' in response:
raise F5ModuleError(response['message'])
else:
raise F5ModuleError(resp.content)
return ApiParameters(params=response)
class ArgumentSpec(object):
def __init__(self):
self.supports_check_mode = True
argument_spec = dict(
name=dict(required=True),
description=dict(),
state=dict(
default='present',
choices=['absent', 'present']
)
)
self.argument_spec = {}
self.argument_spec.update(f5_argument_spec)
self.argument_spec.update(argument_spec)
def main():
spec = ArgumentSpec()
module = AnsibleModule(
argument_spec=spec.argument_spec,
supports_check_mode=spec.supports_check_mode,
)
try:
mm = ModuleManager(module=module)
results = mm.exec_module()
module.exit_json(**results)
except F5ModuleError as ex:
module.fail_json(msg=str(ex))
if __name__ == '__main__':
main()
|
gpl-3.0
|
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nomadcube/scikit-learn
|
examples/bicluster/plot_spectral_coclustering.py
|
276
|
1736
|
"""
==============================================
A demo of the Spectral Co-Clustering algorithm
==============================================
This example demonstrates how to generate a dataset and bicluster it
using the the Spectral Co-Clustering algorithm.
The dataset is generated using the ``make_biclusters`` function, which
creates a matrix of small values and implants bicluster with large
values. The rows and columns are then shuffled and passed to the
Spectral Co-Clustering algorithm. Rearranging the shuffled matrix to
make biclusters contiguous shows how accurately the algorithm found
the biclusters.
"""
print(__doc__)
# Author: Kemal Eren <kemal@kemaleren.com>
# License: BSD 3 clause
import numpy as np
from matplotlib import pyplot as plt
from sklearn.datasets import make_biclusters
from sklearn.datasets import samples_generator as sg
from sklearn.cluster.bicluster import SpectralCoclustering
from sklearn.metrics import consensus_score
data, rows, columns = make_biclusters(
shape=(300, 300), n_clusters=5, noise=5,
shuffle=False, random_state=0)
plt.matshow(data, cmap=plt.cm.Blues)
plt.title("Original dataset")
data, row_idx, col_idx = sg._shuffle(data, random_state=0)
plt.matshow(data, cmap=plt.cm.Blues)
plt.title("Shuffled dataset")
model = SpectralCoclustering(n_clusters=5, random_state=0)
model.fit(data)
score = consensus_score(model.biclusters_,
(rows[:, row_idx], columns[:, col_idx]))
print("consensus score: {:.3f}".format(score))
fit_data = data[np.argsort(model.row_labels_)]
fit_data = fit_data[:, np.argsort(model.column_labels_)]
plt.matshow(fit_data, cmap=plt.cm.Blues)
plt.title("After biclustering; rearranged to show biclusters")
plt.show()
|
bsd-3-clause
|
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] |
chrisspen/dtree
|
dtree.py
|
1
|
68634
|
"""
2012.1.24 CKS
Algorithms for building and using a decision tree for classification or regression.
"""
from __future__ import print_function
from collections import defaultdict
from decimal import Decimal
from pprint import pprint
import copy
import csv
import math
from math import pi
import os
import random
import re
import unittest
import pickle
VERSION = (2, 0, 0)
__version__ = '.'.join(map(str, VERSION))
# Traditional entropy.
ENTROPY1 = 'entropy1'
# Modified entropy that penalizes universally unique values.
ENTROPY2 = 'entropy2'
# Modified entropy that penalizes universally unique values
# as well as features with large numbers of values.
ENTROPY3 = 'entropy3'
DISCRETE_METRICS = [
ENTROPY1,
ENTROPY2,
ENTROPY3,
]
# Simple statistical variance, the measure of how far a set of numbers
# is spread out.
VARIANCE1 = 'variance1'
# Like ENTROPY2, is the variance weighted to penalize attributes with
# universally unique values.
VARIANCE2 = 'variance2'
CONTINUOUS_METRICS = [
VARIANCE1,
VARIANCE2,
]
DEFAULT_DISCRETE_METRIC = ENTROPY1
DEFAULT_CONTINUOUS_METRIC = VARIANCE1
# Methods for aggregating the predictions of trees in a forest.
EQUAL_MEAN = 'equal-mean'
WEIGHTED_MEAN = 'weighted-mean'
BEST = 'best'
AGGREGATION_METHODS = [
EQUAL_MEAN,
WEIGHTED_MEAN,
BEST,
]
# Forest growth algorithms.
GROW_RANDOM = 'random'
GROW_AUTO_MINI_BATCH = 'auto-mini-batch'
GROW_AUTO_INCREMENTAL = 'auto-incremental'
GROW_METHODS = [
GROW_RANDOM,
GROW_AUTO_MINI_BATCH,
GROW_AUTO_INCREMENTAL,
]
# Data format names.
ATTR_TYPE_NOMINAL = NOM = 'nominal'
ATTR_TYPE_DISCRETE = DIS = 'discrete'
ATTR_TYPE_CONTINUOUS = CON = 'continuous'
ATTR_MODE_CLASS = CLS = 'class'
ATTR_HEADER_PATTERN = re.compile("([^,:]+):(nominal|discrete|continuous)(?::(class))?")
def get_mean(seq):
"""
Batch mean calculation.
"""
return sum(seq)/float(len(seq))
def get_variance(seq):
"""
Batch variance calculation.
"""
m = get_mean(seq)
return sum((v-m)**2 for v in seq)/float(len(seq))
def standard_deviation(seq):
return math.sqrt(get_variance(seq))
def mean_absolute_error(seq, correct):
"""
Batch mean absolute error calculation.
"""
assert len(seq) == len(correct)
diffs = [abs(a-b) for a, b in zip(seq, correct)]
return sum(diffs)/float(len(diffs))
def normalize(seq):
"""
Scales each number in the sequence so that the sum of all numbers equals 1.
"""
s = float(sum(seq))
return [v/s for v in seq]
def erfcc(x):
"""
Complementary error function.
"""
z = abs(x)
t = 1. / (1. + 0.5*z)
r = t * math.exp(-z*z-1.26551223+t*(1.00002368+t*(.37409196+
t*(.09678418+t*(-.18628806+t*(.27886807+
t*(-1.13520398+t*(1.48851587+t*(-.82215223+
t*.17087277)))))))))
if (x >= 0.):
return r
else:
return 2. - r
def normcdf(x, mu, sigma):
"""
Describes the probability that a real-valued random variable X with a given
probability distribution will be found at a value less than or equal to X
in a normal distribution.
http://en.wikipedia.org/wiki/Cumulative_distribution_function
"""
t = x-mu
y = 0.5*erfcc(-t/(sigma*math.sqrt(2.0)))
if y > 1.0:
y = 1.0
return y
def normpdf(x, mu, sigma):
"""
Describes the relative likelihood that a real-valued random variable X will
take on a given value.
http://en.wikipedia.org/wiki/Probability_density_function
"""
u = (x-mu)/abs(sigma)
y = (1/(math.sqrt(2*pi)*abs(sigma)))*math.exp(-u*u/2)
return y
def normdist(x, mu, sigma, f=True):
if f:
y = normcdf(x, mu, sigma)
else:
y = normpdf(x, mu, sigma)
return y
def normrange(x1, x2, mu, sigma, f=True):
p1 = normdist(x1, mu, sigma, f)
p2 = normdist(x2, mu, sigma, f)
return abs(p1-p2)
def cmp(a, b): # pylint: disable=redefined-builtin
return (a > b) - (a < b)
class DDist:
"""
Incrementally tracks the probability distribution of discrete elements.
"""
def __init__(self, seq=None):
self.clear()
if seq:
for k in seq:
self.counts[k] += 1
self.total += 1
def __cmp__(self, other):
if not isinstance(other, type(self)):
return NotImplemented
return cmp(
(frozenset(self.counts.items()), self.total),
(frozenset(other.counts.items()), other.total)
)
def __eq__(self, other):
if not isinstance(other, type(self)):
return NotImplemented
return (frozenset(self.counts.items()), self.total) == \
(frozenset(other.counts.items()), other.total)
def __getitem__(self, k):
"""
Returns the probability for the given element.
"""
cnt = 0
if k in self.counts:
cnt = self.counts[k]
return cnt/float(self.total)
def __hash__(self):
return hash((frozenset(self.counts.items()), self.total))
def __repr__(self):
s = []
for k, prob in self.probs:
s.append("%s=%s" % (k, prob))
return "<%s %s>" % (type(self).__name__, ', '.join(s))
def add(self, k, count=1):
"""
Increments the count for the given element.
"""
self.counts[k] += count
self.total += count
@property
def best(self):
"""
Returns the element with the highest probability.
"""
b = (-1e999999, None)
for k, c in self.counts.items():
b = max(b, (c, k))
return b[1]
@property
def best_prob(self):
probs = self.probs
if not probs:
return
best = -1e999999
for _, prob in probs:
best = max(best, prob)
return best
def clear(self):
self.counts = defaultdict(int)
self.total = 0
def copy(self):
return copy.deepcopy(self)
@property
def count(self):
"""
The total number of samples forming this distribution.
"""
return self.total
def keys(self):
return self.counts.keys()
@property
def probs(self):
"""
Returns a list of probabilities for all elements in the form
[(value1,prob1),(value2,prob2),...].
"""
return [
(k, self.counts[k]/float(self.total))
for k in self.counts.keys()
]
def update(self, dist):
"""
Adds the given distribution's counts to the current distribution.
"""
assert isinstance(dist, DDist)
for k, c in dist.counts.items():
self.counts[k] += c
self.total += dist.total
class CDist:
"""
Incrementally tracks the probability distribution of continuous numbers.
"""
def __init__(self, seq=None, mean=None, var=None, stdev=None):
self.clear()
if mean is not None:
self.mean_sum = mean
self.mean_count = 1
if var is not None:
self.last_variance = var
self.mean_count = 1
if stdev is not None:
self.last_variance = stdev**2
self.mean_count = 1
if seq:
for n in seq:
self += n
def clear(self):
self.mean_sum = 0
self.mean_count = 0
self.last_variance = 0
def copy(self):
return copy.deepcopy(self)
def __repr__(self):
return "<%s mean=%s variance=%s>" % (type(self).__name__, self.mean, self.variance)
def __iadd__(self, value):
last_mean = self.mean
self.mean_sum += value
self.mean_count += 1
if last_mean is not None:
self.last_variance = self.last_variance \
+ (value - last_mean)*(value - self.mean)
return self
@property
def count(self):
"""
The total number of samples forming this distribution.
"""
return self.mean_count
@property
def mean(self):
if self.mean_count:
return self.mean_sum/float(self.mean_count)
@property
def variance(self):
if self.mean_count:
return self.last_variance/float(self.mean_count)
@property
def standard_deviation(self):
var = self.variance
if var is None:
return
return math.sqrt(var)
def probability_lt(self, x):
"""
Returns the probability of a random variable being less than the
given value.
"""
if self.mean is None:
return
return normdist(x=x, mu=self.mean, sigma=self.standard_deviation)
def probability_in(self, a, b):
"""
Returns the probability of a random variable falling between the given
values.
"""
if self.mean is None:
return
p1 = normdist(x=a, mu=self.mean, sigma=self.standard_deviation)
p2 = normdist(x=b, mu=self.mean, sigma=self.standard_deviation)
return abs(p1 - p2)
def probability_gt(self, x):
"""
Returns the probability of a random variable being greater than the
given value.
"""
if self.mean is None:
return
p = normdist(x=x, mu=self.mean, sigma=self.standard_deviation)
return 1-p
def entropy(data, class_attr=None, method=DEFAULT_DISCRETE_METRIC):
"""
Calculates the entropy of the attribute attr in given data set data.
Parameters:
data<dict|list> :=
if dict, treated as value counts of the given attribute name
if list, treated as a raw list from which the value counts will be generated
attr<string> := the name of the class attribute
"""
assert (class_attr is None and isinstance(data, dict)) or (class_attr is not None and isinstance(data, list))
if isinstance(data, dict):
counts = data
else:
counts = defaultdict(float) # {attr:count}
for record in data:
# Note: A missing attribute is treated like an attribute with a value
# of None, representing the attribute is "irrelevant".
counts[record.get(class_attr)] += 1.0
len_data = float(sum(cnt for _, cnt in counts.items()))
n = max(2, len(counts))
total = float(sum(counts.values()))
assert total, "There must be at least one non-zero count."
if method == ENTROPY1:
return -sum((count/len_data)*math.log(count/len_data, n)
for count in counts.values() if count)
elif method == ENTROPY2:
return -sum((count/len_data)*math.log(count/len_data, n)
for count in counts.values() if count) - ((len(counts)-1)/float(total))
elif method == ENTROPY3:
return -sum((count/len_data)*math.log(count/len_data, n)
for count in counts.values() if count) - 100*((len(counts)-1)/float(total))
else:
raise Exception("Unknown entropy method %s." % method)
def entropy_variance(data, class_attr=None,
method=DEFAULT_CONTINUOUS_METRIC):
"""
Calculates the variance fo a continuous class attribute, to be used as an
entropy metric.
"""
assert method in CONTINUOUS_METRICS, "Unknown entropy variance metric: %s" % (method,)
assert (class_attr is None and isinstance(data, dict)) or (class_attr is not None and isinstance(data, list))
if isinstance(data, dict):
lst = data
else:
lst = [record.get(class_attr) for record in data]
return get_variance(lst)
def get_gain(data, attr, class_attr,
method=DEFAULT_DISCRETE_METRIC,
only_sub=0, prefer_fewer_values=False, entropy_func=None):
"""
Calculates the information gain (reduction in entropy) that would
result by splitting the data on the chosen attribute (attr).
Parameters:
prefer_fewer_values := Weights the gain by the count of the attribute's
unique values. If multiple attributes have the same gain, but one has
slightly fewer attributes, this will cause the one with fewer
attributes to be preferred.
"""
entropy_func = entropy_func or entropy
val_freq = defaultdict(float)
subset_entropy = 0.0
# Calculate the frequency of each of the values in the target attribute
for record in data:
val_freq[record.get(attr)] += 1.0
# Calculate the sum of the entropy for each subset of records weighted
# by their probability of occuring in the training set.
for val in val_freq.keys():
val_prob = val_freq[val] / sum(val_freq.values())
data_subset = [record for record in data if record.get(attr) == val]
e = entropy_func(data_subset, class_attr, method=method)
subset_entropy += val_prob * e
if only_sub:
return subset_entropy
# Subtract the entropy of the chosen attribute from the entropy of the
# whole data set with respect to the target attribute (and return it)
main_entropy = entropy_func(data, class_attr, method=method)
# Prefer gains on attributes with fewer values.
if prefer_fewer_values:
return ((main_entropy - subset_entropy), 1./len(val_freq))
else:
return (main_entropy - subset_entropy)
def gain_variance(*args, **kwargs):
"""
Calculates information gain using variance as the comparison metric.
"""
return get_gain(entropy_func=entropy_variance, *args, **kwargs)
def majority_value(data, class_attr):
"""
Creates a list of all values in the target attribute for each record
in the data list object, and returns the value that appears in this list
the most frequently.
"""
if is_continuous(data[0][class_attr]):
return CDist(seq=[record[class_attr] for record in data])
else:
return most_frequent([record[class_attr] for record in data])
def most_frequent(lst):
"""
Returns the item that appears most frequently in the given list.
"""
lst = lst[:]
highest_freq = 0
most_freq = None
for val in unique(lst):
if lst.count(val) > highest_freq:
most_freq = val
highest_freq = lst.count(val)
return most_freq
def unique(lst):
"""
Returns a list made up of the unique values found in lst. i.e., it
removes the redundant values in lst.
"""
lst = lst[:]
unique_lst = []
# Cycle through the list and add each value to the unique list only once.
for item in lst:
if unique_lst.count(item) <= 0:
unique_lst.append(item)
# Return the list with all redundant values removed.
return unique_lst
def get_values(data, attr):
"""
Creates a list of values in the chosen attribut for each record in data,
prunes out all of the redundant values, and return the list.
"""
return unique([record[attr] for record in data])
def choose_attribute(data, attributes, class_attr, fitness, method):
"""
Cycles through all the attributes and returns the attribute with the
highest information gain (or lowest entropy).
"""
best = (-1e999999, None)
for attr in attributes:
if attr == class_attr:
continue
gain = fitness(data, attr, class_attr, method=method)
best = max(best, (gain, attr))
return best[1]
def is_continuous(v):
return isinstance(v, (float, Decimal))
def create_decision_tree(data, attributes, class_attr, fitness_func, wrapper, **kwargs):
"""
Returns a new decision tree based on the examples given.
"""
split_attr = kwargs.get('split_attr', None)
split_val = kwargs.get('split_val', None)
assert class_attr not in attributes
node = None
data = list(data) if isinstance(data, Data) else data
if wrapper.is_continuous_class:
stop_value = CDist(seq=[r[class_attr] for r in data])
# For a continuous class case, stop if all the remaining records have
# a variance below the given threshold.
stop = wrapper.leaf_threshold is not None \
and stop_value.variance <= wrapper.leaf_threshold
else:
stop_value = DDist(seq=[r[class_attr] for r in data])
# For a discrete class, stop if all remaining records have the same
# classification.
stop = len(stop_value.counts) <= 1
if not data or len(attributes) <= 0:
# If the dataset is empty or the attributes list is empty, return the
# default value. The target attribute is not in the attributes list, so
# we need not subtract 1 to account for the target attribute.
if wrapper:
wrapper.leaf_count += 1
return stop_value
elif stop:
# If all the records in the dataset have the same classification,
# return that classification.
if wrapper:
wrapper.leaf_count += 1
return stop_value
else:
# Choose the next best attribute to best classify our data
best = choose_attribute(
data,
attributes,
class_attr,
fitness_func,
method=wrapper.metric)
# Create a new decision tree/node with the best attribute and an empty
# dictionary object--we'll fill that up next.
node = Node(tree=wrapper, attr_name=best)
node.n += len(data)
# Create a new decision tree/sub-node for each of the values in the
# best attribute field
for val in get_values(data, best):
# Create a subtree for the current value under the "best" field
subtree = create_decision_tree(
[r for r in data if r[best] == val],
[attr for attr in attributes if attr != best],
class_attr,
fitness_func,
split_attr=best,
split_val=val,
wrapper=wrapper)
# Add the new subtree to the empty dictionary object in our new
# tree/node we just created.
if isinstance(subtree, Node):
node._branches[val] = subtree
elif isinstance(subtree, (CDist, DDist)):
node.set_leaf_dist(attr_value=val, dist=subtree)
else:
raise Exception("Unknown subtree type: %s" % (type(subtree),))
return node
class Data:
"""
Parses, validates and iterates over tabular data in a file
or an generic iterator.
This does not store the actual data rows. It only stores the row schema.
"""
def __init__(self, inp, order=None, types=None, modes=None):
self.header_types = types or {} # {attr_name:type}
self.header_modes = modes or {} # {attr_name:mode}
if isinstance(order, str):
order = order.split(',')
self.header_order = order or [] # [attr_name,...]
# Validate header type.
if isinstance(self.header_types, (tuple, list)):
assert self.header_order, 'If header type names were not given, an explicit order must be specified.'
assert len(self.header_types) == len(self.header_order), 'Header order length must match header type length.'
self.header_types = dict(zip(self.header_order, self.header_types))
self.filename = None
self.data = None
if isinstance(inp, str):
filename = inp
assert os.path.isfile(filename), "File \"%s\" does not exist." % filename
self.filename = filename
else:
assert self.header_types, "No attribute types specified."
assert self.header_modes, "No attribute modes specified."
self.data = inp
self._class_attr_name = None
if self.header_modes:
for k, v in self.header_modes.items():
if v != CLS:
continue
self._class_attr_name = k
break
assert self._class_attr_name, "No class attribute specified."
def copy_no_data(self):
"""
Returns a copy of the object without any data.
"""
return type(self)(
[],
order=list(self.header_modes),
types=self.header_types.copy(),
modes=self.header_modes.copy())
def __len__(self):
if self.filename:
return max(0, open(self.filename).read().strip().count('\n'))
elif hasattr(self.data, '__len__'):
return len(self.data)
def __bool__(self):
return bool(len(self))
__nonzero__ = __bool__
@property
def class_attribute_name(self):
return self._class_attr_name
@property
def attribute_names(self):
self._read_header()
return [
n for n in self.header_types.keys()
if n != self._class_attr_name
]
def get_attribute_type(self, name):
if not self.header_types:
self._read_header()
return self.header_types[name]
@property
def is_continuous_class(self):
self._read_header()
return self.get_attribute_type(self._class_attr_name) == ATTR_TYPE_CONTINUOUS
def is_valid(self, name, value):
"""
Returns true if the given value matches the type for the given name
according to the schema.
Returns false otherwise.
"""
if name not in self.header_types:
return False
t = self.header_types[name]
if t == ATTR_TYPE_DISCRETE:
return isinstance(value, int)
elif t == ATTR_TYPE_CONTINUOUS:
return isinstance(value, (float, Decimal))
return True
def _read_header(self):
"""
When a CSV file is given, extracts header information the file.
Otherwise, this header data must be explicitly given when the object
is instantiated.
"""
if not self.filename or self.header_types:
return
rows = csv.reader(open(self.filename))
header = next(rows)
self.header_types = {} # {attr_name:type}
self._class_attr_name = None
self.header_order = [] # [attr_name,...]
for el in header:
matches = ATTR_HEADER_PATTERN.findall(el)
assert matches, "Invalid header element: %s" % (el,)
el_name, el_type, el_mode = matches[0]
el_name = el_name.strip()
self.header_order.append(el_name)
self.header_types[el_name] = el_type
if el_mode == ATTR_MODE_CLASS:
assert self._class_attr_name is None, "Multiple class attributes are not supported."
self._class_attr_name = el_name
else:
assert self.header_types[el_name] != ATTR_TYPE_CONTINUOUS, "Non-class continuous attributes are not supported."
assert self._class_attr_name, "A class attribute must be specified."
def validate_row(self, row):
"""
Ensure each element in the row matches the schema.
"""
clean_row = {}
if isinstance(row, (tuple, list)):
assert self.header_order, "No attribute order specified."
assert len(row) == len(self.header_order), "Row length does not match header length."
itr = zip(self.header_order, row)
else:
assert isinstance(row, dict)
itr = row.items()
for el_name, el_value in itr:
if self.header_types[el_name] == ATTR_TYPE_DISCRETE:
clean_row[el_name] = int(el_value)
elif self.header_types[el_name] == ATTR_TYPE_CONTINUOUS:
clean_row[el_name] = float(el_value)
else:
clean_row[el_name] = el_value
return clean_row
def _get_iterator(self):
if self.filename:
self._read_header()
itr = csv.reader(open(self.filename))
next(itr) # Skip header.
return itr
return self.data
def __iter__(self):
for row in self._get_iterator():
if not row:
continue
yield self.validate_row(row)
def split(self, ratio=0.5, leave_one_out=False):
"""
Returns two Data instances, containing the data randomly split between
the two according to the given ratio.
The first instance will contain the ratio of data specified.
The second instance will contain the remaining ratio of data.
If leave_one_out is True, the ratio will be ignored and the first
instance will contain exactly one record for each class label, and
the second instance will contain all remaining data.
"""
a_labels = set()
a = self.copy_no_data()
b = self.copy_no_data()
for row in self:
if leave_one_out and not self.is_continuous_class:
label = row[self.class_attribute_name]
if label not in a_labels:
a_labels.add(label)
a.data.append(row)
else:
b.data.append(row)
elif not a:
a.data.append(row)
elif not b:
b.data.append(row)
elif random.random() <= ratio:
a.data.append(row)
else:
b.data.append(row)
return a, b
USE_NEAREST = 'use_nearest'
MISSING_VALUE_POLICIES = set([
USE_NEAREST,
])
def _get_dd_int():
return defaultdict(int)
def _get_dd_dd_int():
return defaultdict(_get_dd_int)
def _get_dd_cdist():
return defaultdict(CDist)
class NodeNotReadyToPredict(Exception):
pass
class Node:
"""
Represents a specific split or branch in the tree.
"""
def __init__(self, tree, attr_name=None):
# The number of samples this node has been trained on.
self.n = 0
# A reference to the container tree instance.
self._tree = tree
# The splitting attribute at this node.
self.attr_name = attr_name
#### Discrete values.
# Counts of each observed attribute value, used to calculate an
# attribute value's probability.
# {attr_name:{attr_value:count}}
self._attr_value_counts = defaultdict(_get_dd_int)
# {attr_name:total}
self._attr_value_count_totals = defaultdict(int)
# Counts of each observed class value and attribute value in
# combination, used to calculate an attribute value's entropy.
# {attr_name:{attr_value:{class_value:count}}}
self._attr_class_value_counts = defaultdict(_get_dd_dd_int)
#### Continuous values.
# Counts of each observed class value, used to calculate a class
# value's probability.
# {class_value:count}
self._class_ddist = DDist()
# {attr_name:{attr_value:CDist(variance)}}
self._attr_value_cdist = defaultdict(_get_dd_cdist)
self._class_cdist = CDist()
self._branches = {} # {v:Node}
def __getitem__(self, attr_name):
assert attr_name == self.attr_name
branches = self._branches.copy()
for value in self.get_values(attr_name):
if value in branches:
continue
if self.tree.data.is_continuous_class:
branches[value] = self._attr_value_cdist[self.attr_name][value].copy()
else:
branches[value] = self.get_value_ddist(self.attr_name, value)
return branches
def _get_attribute_value_for_node(self, record):
"""
Gets the closest value for the current node's attribute matching the
given record.
"""
# Abort if this node has not get split on an attribute.
if self.attr_name is None:
return
# Otherwise, lookup the attribute value for this node in the given record.
attr = self.attr_name
attr_value = record[attr]
attr_values = self.get_values(attr)
if attr_value in attr_values:
return attr_value
else:
# The value of the attribute in the given record does not directly
# map to any previously known values, so apply a missing value
# policy.
policy = self.tree.missing_value_policy.get(attr)
assert policy, "No missing value policy specified for attribute %s." % (attr,)
if policy == USE_NEAREST:
# Use the value that the tree has seen that's also has the
# smallest Euclidean distance to the actual value.
assert self.tree.data.header_types[attr] in (ATTR_TYPE_DISCRETE, ATTR_TYPE_CONTINUOUS), "The use-nearest policy is invalid for nominal types."
nearest = (1e999999, None)
for _value in attr_values:
nearest = min(nearest, (abs(_value - attr_value), _value))
_, nearest_value = nearest
return nearest_value
else:
raise Exception("Unknown missing value policy: %s" % (policy,))
@property
def attributes(self):
return self._attr_value_counts.keys()
def get_values(self, attr_name):
"""
Retrieves the unique set of values seen for the given attribute
at this node.
"""
ret = list(self._attr_value_cdist[attr_name].keys()) \
+ list(self._attr_value_counts[attr_name].keys()) \
+ list(self._branches.keys())
ret = set(ret)
return ret
@property
def is_continuous_class(self):
return self._tree.is_continuous_class
def get_best_splitting_attr(self):
"""
Returns the name of the attribute with the highest gain.
"""
best = (-1e999999, None)
for attr in self.attributes:
best = max(best, (self.get_gain(attr), attr))
best_gain, best_attr = best
return best_attr
def get_entropy(self, attr_name=None, attr_value=None):
"""
Calculates the entropy of a specific attribute/value combination.
"""
is_con = self.tree.data.is_continuous_class
if is_con:
if attr_name is None:
# Calculate variance of class attribute.
var = self._class_cdist.variance
else:
# Calculate variance of the given attribute.
var = self._attr_value_cdist[attr_name][attr_value].variance
if self.tree.metric == VARIANCE1 or attr_name is None:
return var
elif self.tree.metric == VARIANCE2:
unique_value_count = len(self._attr_value_counts[attr_name])
attr_total = float(self._attr_value_count_totals[attr_name])
return var*(unique_value_count/attr_total)
else:
if attr_name is None:
# The total number of times this attr/value pair has been seen.
total = float(self._class_ddist.total)
# The total number of times each class value has been seen for
# this attr/value pair.
counts = self._class_ddist.counts
# The total number of unique values seen for this attribute.
unique_value_count = len(self._class_ddist.counts)
# The total number of times this attribute has been seen.
attr_total = total
else:
total = float(self._attr_value_counts[attr_name][attr_value])
counts = self._attr_class_value_counts[attr_name][attr_value]
unique_value_count = len(self._attr_value_counts[attr_name])
attr_total = float(self._attr_value_count_totals[attr_name])
assert total, "There must be at least one non-zero count."
n = max(2, len(counts))
if self._tree.metric == ENTROPY1:
# Traditional entropy.
return -sum(
(count/total)*math.log(count/total, n)
for count in counts.values()
)
elif self._tree.metric == ENTROPY2:
# Modified entropy that down-weights universally unique values.
# e.g. If the number of unique attribute values equals the total
# count of the attribute, then it has the maximum amount of unique
# values.
return -sum(
(count/total)*math.log(count/total, n)
for count in counts.values()
) + (unique_value_count/attr_total)
elif self._tree.metric == ENTROPY3:
# Modified entropy that down-weights universally unique values
# as well as features with large numbers of values.
return -sum(
(count/total)*math.log(count/total, n)
for count in counts.values()
) + 100*(unique_value_count/attr_total)
def get_gain(self, attr_name):
"""
Calculates the information gain from splitting on the given attribute.
"""
subset_entropy = 0.0
for value in self._attr_value_counts[attr_name].keys():
value_prob = self.get_value_prob(attr_name, value)
e = self.get_entropy(attr_name, value)
subset_entropy += value_prob * e
return (self.main_entropy - subset_entropy)
def get_value_ddist(self, attr_name, attr_value):
"""
Returns the class value probability distribution of the given
attribute value.
"""
assert not self.tree.data.is_continuous_class, "Discrete distributions are only maintained for discrete class types."
ddist = DDist()
cls_counts = self._attr_class_value_counts[attr_name][attr_value]
for cls_value, cls_count in cls_counts.items():
ddist.add(cls_value, count=cls_count)
return ddist
def get_value_prob(self, attr_name, value):
"""
Returns the value probability of the given attribute at this node.
"""
if attr_name not in self._attr_value_count_totals:
return
n = self._attr_value_counts[attr_name][value]
d = self._attr_value_count_totals[attr_name]
return n/float(d)
@property
def main_entropy(self):
"""
Calculates the overall entropy of the class attribute.
"""
return self.get_entropy()
def predict(self, record, depth=0):
"""
Returns the estimated value of the class attribute for the given
record.
"""
# Check if we're ready to predict.
if not self.ready_to_predict:
raise NodeNotReadyToPredict
# Lookup attribute value.
attr_value = self._get_attribute_value_for_node(record)
# Propagate decision to leaf node.
if self.attr_name:
if attr_value in self._branches:
try:
return self._branches[attr_value].predict(record, depth=depth+1)
except NodeNotReadyToPredict:
#TODO:allow re-raise if user doesn't want an intermediate prediction?
pass
# Otherwise make decision at current node.
if self.attr_name:
if self._tree.data.is_continuous_class:
return self._attr_value_cdist[self.attr_name][attr_value].copy()
else:
return self.get_value_ddist(self.attr_name, attr_value)
elif self._tree.data.is_continuous_class:
# Make decision at current node, which may be a true leaf node
# or an incomplete branch in a tree currently being built.
assert self._class_cdist is not None
return self._class_cdist.copy()
else:
return self._class_ddist.copy()
@property
def ready_to_predict(self):
return self.n > 0
@property
def ready_to_split(self):
"""
Returns true if this node is ready to branch off additional nodes.
Returns false otherwise.
"""
# Never split if we're a leaf that predicts adequately.
threshold = self._tree.leaf_threshold
if self._tree.data.is_continuous_class:
var = self._class_cdist.variance
if var is not None and threshold is not None and var <= threshold:
return False
else:
best_prob = self._class_ddist.best_prob
if best_prob is not None and threshold is not None and best_prob >= threshold:
return False
return self._tree.auto_grow \
and not self.attr_name \
and self.n >= self._tree.splitting_n
def set_leaf_dist(self, attr_value, dist):
"""
Sets the probability distribution at a leaf node.
"""
assert self.attr_name
assert self.tree.data.is_valid(self.attr_name, attr_value), "Value %s is invalid for attribute %s." % (attr_value, self.attr_name)
if self.is_continuous_class:
assert isinstance(dist, CDist)
assert self.attr_name
self._attr_value_cdist[self.attr_name][attr_value] = dist.copy()
else:
assert isinstance(dist, DDist)
# {attr_name:{attr_value:count}}
self._attr_value_counts[self.attr_name][attr_value] += 1
# {attr_name:total}
self._attr_value_count_totals[self.attr_name] += 1
# {attr_name:{attr_value:{class_value:count}}}
for cls_value, cls_count in dist.counts.items():
self._attr_class_value_counts[self.attr_name][attr_value][cls_value] += cls_count
def to_dict(self):
if self.attr_name:
# Show a value's branch, whether it's a leaf or another node.
ret = {self.attr_name:{}} # {attr_name:{attr_value:dist or node}}
values = self.get_values(self.attr_name)
for attr_value in values:
if attr_value in self._branches:
ret[self.attr_name][attr_value] = self._branches[attr_value].to_dict()
elif self._tree.data.is_continuous_class:
ret[self.attr_name][attr_value] = self._attr_value_cdist[self.attr_name][attr_value].copy()
else:
ret[self.attr_name][attr_value] = self.get_value_ddist(self.attr_name, attr_value)
return ret
elif self.tree.data.is_continuous_class:
# Otherwise we're at a continuous leaf node.
return self._class_cdist.copy()
else:
# Or a discrete leaf node.
return self._class_ddist.copy()
@property
def tree(self):
return self._tree
def train(self, record):
"""
Incrementally update the statistics at this node.
"""
self.n += 1
class_attr = self.tree.data.class_attribute_name
class_value = record[class_attr]
# Update class statistics.
is_con = self.tree.data.is_continuous_class
if is_con:
# For a continuous class.
self._class_cdist += class_value
else:
# For a discrete class.
self._class_ddist.add(class_value)
# Update attribute statistics.
for an, av in record.items():
if an == class_attr:
continue
self._attr_value_counts[an][av] += 1
self._attr_value_count_totals[an] += 1
if is_con:
self._attr_value_cdist[an][av] += class_value
else:
self._attr_class_value_counts[an][av][class_value] += 1
# Decide if branch should split on an attribute.
if self.ready_to_split:
self.attr_name = self.get_best_splitting_attr()
self.tree.leaf_count -= 1
for av in self._attr_value_counts[self.attr_name]:
self._branches[av] = Node(tree=self.tree)
self.tree.leaf_count += 1
# If we've split, then propagate the update to appropriate sub-branch.
if self.attr_name:
key = record[self.attr_name]
del record[self.attr_name]
self._branches[key].train(record)
class Tree:
"""
Represents a single grown or built decision tree.
"""
def __init__(self, data, **kwargs):
assert isinstance(data, Data)
self._data = data
# Root splitting node.
# This can be traversed via [name1][value1][name2][value2]...
self._tree = Node(self)
# The mean absolute error.
self.mae = CDist()
self._mae_clean = True
# Set the metric used to calculate the information gain after an attribute split.
if self.data.is_continuous_class:
self.metric = kwargs.get('metric', DEFAULT_CONTINUOUS_METRIC)
assert self.metric in CONTINUOUS_METRICS
else:
self.metric = kwargs.get('metric', DEFAULT_DISCRETE_METRIC)
assert self.metric in DISCRETE_METRICS
# Set metric to splitting nodes after a sample threshold has been met.
self.splitting_n = kwargs.get('splitting_n', 100)
# Declare the policy for handling missing values for each attribute.
self.missing_value_policy = {}
# Allow the tree to automatically grow and split after an update().
self.auto_grow = kwargs.get('auto_grow', False)
# Determine the threshold at which further splitting is unnecessary
# if enough accuracy has been achieved.
if self.data.is_continuous_class:
# Zero variance is the default continuous stopping criteria.
self.leaf_threshold = kwargs.get('leaf_threshold', 0.0)
else:
# A 100% probability is the default discrete stopping criteria.
self.leaf_threshold = kwargs.get('leaf_threshold', 1.0)
# The total number of leaf nodes.
self.leaf_count = 0
# The total number of samples trained on.
self.sample_count = 0
### Used for forests.
# The prediction accuracy on held-out samples.
self.out_of_bag_accuracy = CDist()
# Samples not given to the tree for training with which the
# out-of-bag accuracy is calculated from.
self._out_of_bag_samples = []
# The mean absolute error for predictions on out-of-bag samples.
self._out_of_bag_mae = CDist()
self._out_of_bag_mae_clean = True
def __getitem__(self, attr_name):
return self.tree[attr_name]
@classmethod
def build(cls, data, *args, **kwargs):
"""
Constructs a classification or regression tree in a single batch by
analyzing the given data.
"""
assert isinstance(data, Data)
if data.is_continuous_class:
fitness_func = gain_variance
else:
fitness_func = get_gain
t = cls(data=data, *args, **kwargs)
t._data = data
t.sample_count = len(data)
t._tree = create_decision_tree(
data=data,
attributes=data.attribute_names,
class_attr=data.class_attribute_name,
fitness_func=fitness_func,
wrapper=t,
)
return t
@property
def data(self):
return self._data
@property
def is_continuous_class(self):
return self.data.is_continuous_class
@classmethod
def load(cls, fn):
tree = pickle.load(open(fn))
assert isinstance(tree, cls), "Invalid pickle."
return tree
@property
def out_of_bag_mae(self):
"""
Returns the mean absolute error for predictions on the out-of-bag
samples.
"""
if not self._out_of_bag_mae_clean:
try:
self._out_of_bag_mae = self.test(self.out_of_bag_samples)
self._out_of_bag_mae_clean = True
except NodeNotReadyToPredict:
return
return self._out_of_bag_mae.copy()
@property
def out_of_bag_samples(self):
"""
Returns the out-of-bag samples list, inside a wrapper to keep track
of modifications.
"""
#TODO:replace with more a generic pass-through wrapper?
class O:
def __init__(self, tree):
self.tree = tree
def __len__(self):
return len(self.tree._out_of_bag_samples)
def append(self, v):
self.tree._out_of_bag_mae_clean = False
return self.tree._out_of_bag_samples.append(v)
def pop(self, v):
self.tree._out_of_bag_mae_clean = False
return self.tree._out_of_bag_samples.pop(v)
def __iter__(self):
for _ in self.tree._out_of_bag_samples:
yield _
return O(self)
def predict(self, record):
record = record.copy()
return self._tree.predict(record)
def save(self, fn):
pickle.dump(self, open(fn, 'w'))
def set_missing_value_policy(self, policy, target_attr_name=None):
"""
Sets the behavior for one or all attributes to use when traversing the
tree using a query vector and it encounters a branch that does not
exist.
"""
assert policy in MISSING_VALUE_POLICIES, "Unknown policy: %s" % (policy,)
for attr_name in self.data.attribute_names:
if target_attr_name is not None and target_attr_name != attr_name:
continue
self.missing_value_policy[attr_name] = policy
def test(self, data):
"""
Iterates over the data, classifying or regressing each element and then
finally returns the classification accuracy or mean-absolute-error.
"""
is_cont = self._data.is_continuous_class
agg = CDist()
for record in data:
actual_value = self.predict(record)
expected_value = record[self._data.class_attribute_name]
if is_cont:
assert isinstance(actual_value, CDist)
actual_value = actual_value.mean
agg += abs(actual_value - expected_value)
else:
assert isinstance(actual_value, DDist)
agg += actual_value.best == expected_value
return agg
def to_dict(self):
return self._tree.to_dict()
@property
def tree(self):
return self._tree
def train(self, record):
"""
Incrementally updates the tree with the given sample record.
"""
assert self.data.class_attribute_name in record, "The class attribute must be present in the record."
record = record.copy()
self.sample_count += 1
self.tree.train(record)
def _get_defaultdict_cdist():
return defaultdict(CDist)
class Forest:
def __init__(self, data, tree_kwargs=None, **kwargs):
assert isinstance(data, Data)
self._data = data
# The population of trees.
self.trees = []
# Arguments that will be passed to each tree during init.
self.tree_kwargs = tree_kwargs or {}
self.grow_method = kwargs.get('grow_method', GROW_RANDOM)
assert self.grow_method in GROW_METHODS, "Growth method %s is not supported." % (self.grow_method,)
# The number of trees in the forest.
self.size = kwargs.get('size', 10)
# The ratio of training samples given to each tree.
# The rest are held to test tree accuracy.
self.sample_ratio = kwargs.get('sample_ratio', 0.9)
# The maximum number of out of bag samples to store in each tree.
self.max_out_of_bag_samples = kwargs.get('max_out_of_bag_samples', 1000)
# The method for how we consolidate each tree's prediction into
# a single prediction.
self.weighting_method = kwargs.get('weighting_method', Forest.mean_oob_mae_weight)
# The criteria defining how and when old trees are removed from the
# forest and replaced by new trees.
# This is a callable that is given a list of all the current trees
# and returns a list of trees that should be removed.
self.fell_method = kwargs.get('fell_method', None)
def _fell_trees(self):
"""
Removes trees from the forest according to the specified fell method.
"""
if callable(self.fell_method):
for tree in self.fell_method(list(self.trees)):
self.trees.remove(tree)
def _get_best_prediction(self, record, train=True):
"""
Gets the prediction from the tree with the lowest mean absolute error.
"""
if not self.trees:
return
best = (+1e999999, None)
for tree in self.trees:
best = min(best, (tree.mae.mean, tree))
_, best_tree = best
prediction, tree_mae = best_tree.predict(record, train=train)
return prediction.mean
@staticmethod
def best_oob_mae_weight(trees):
"""
Returns weights so that the tree with smallest out-of-bag mean absolute error
"""
best = (+1e999999, None)
for tree in trees:
oob_mae = tree.out_of_bag_mae
if oob_mae is None or oob_mae.mean is None:
continue
best = min(best, (oob_mae.mean, tree))
best_mae, best_tree = best
if best_tree is None:
return
return [(1.0, best_tree)]
@staticmethod
def mean_oob_mae_weight(trees):
"""
Returns weights proportional to the out-of-bag mean absolute error for each tree.
"""
weights = []
active_trees = []
for tree in trees:
oob_mae = tree.out_of_bag_mae
if oob_mae is None or oob_mae.mean is None:
continue
weights.append(oob_mae.mean)
active_trees.append(tree)
if not active_trees:
return
weights = normalize(weights)
return zip(weights, active_trees)
def _grow_trees(self):
"""
Adds new trees to the forest according to the specified growth method.
"""
if self.grow_method == GROW_AUTO_INCREMENTAL:
self.tree_kwargs['auto_grow'] = True
while len(self.trees) < self.size:
self.trees.append(Tree(data=self.data, **self.tree_kwargs))
@property
def data(self):
return self._data
def predict(self, record):
"""
Attempts to predict the value of the class attribute by aggregating
the predictions of each tree.
Parameters:
weighting_formula := a callable that takes a list of trees and
returns a list of weights.
"""
# Get raw predictions.
# {tree:raw prediction}
predictions = {}
for tree in self.trees:
_p = tree.predict(record)
if _p is None:
continue
if isinstance(_p, CDist):
if _p.mean is None:
continue
elif isinstance(_p, DDist):
if not _p.count:
continue
predictions[tree] = _p
if not predictions:
return
# Normalize weights and aggregate final prediction.
weights = self.weighting_method(predictions.keys())
if not weights:
return
if self.data.is_continuous_class:
# Merge continuous class predictions.
total = sum(w*predictions[tree].mean for w, tree in weights)
else:
# Merge discrete class predictions.
total = DDist()
for weight, tree in weights:
prediction = predictions[tree]
for cls_value, cls_prob in prediction.probs:
total.add(cls_value, cls_prob*weight)
return total
def set_missing_value_policy(self, policy, target_attr_name=None):
for tree in self.trees:
tree.set_missing_value_policy(policy, target_attr_name)
def test(self, data):
"""
Iterates over the data, classifying or regressing each element and then
finally returns the classification accuracy or mean-absolute-error.
"""
is_cont = self.data.is_continuous_class
agg = CDist()
for record in data:
actual_value = self.predict(record)
if actual_value is None:
continue
expected_value = record[self._data.class_attribute_name]
if is_cont:
assert isinstance(actual_value, CDist), \
"Invalid prediction type: %s" % (type(actual_value),)
actual_value = actual_value.mean
agg += abs(actual_value - expected_value)
else:
assert isinstance(actual_value, DDist), \
"Invalid prediction type: %s" % (type(actual_value),)
agg += actual_value.best == expected_value
return agg
def train(self, record):
"""
Updates the trees with the given training record.
"""
self._fell_trees()
self._grow_trees()
for tree in self.trees:
if random.random() < self.sample_ratio:
tree.train(record)
else:
tree.out_of_bag_samples.append(record)
while len(tree.out_of_bag_samples) > self.max_out_of_bag_samples:
tree.out_of_bag_samples.pop(0)
class Test(unittest.TestCase):
def test_stat(self):
print('Testing statistics classes...')
nums = range(1, 10)
s = CDist()
seen = []
for n in nums:
seen.append(n)
s += n
print('mean:', s.mean)
print('variance:', get_variance(seen))
print('variance:', s.variance)
self.assertAlmostEqual(s.mean, get_mean(nums), 1)
self.assertAlmostEqual(s.variance, get_variance(nums), 2)
self.assertEqual(s.count, 9)
self.assertAlmostEqual(s.probability_lt(s.mean-s.standard_deviation*6), 0.0, 5)
self.assertAlmostEqual(s.probability_lt(s.mean+s.standard_deviation*6), 1.0, 5)
self.assertAlmostEqual(s.probability_gt(s.mean-s.standard_deviation*6), 1.0, 5)
self.assertAlmostEqual(s.probability_gt(s.mean+s.standard_deviation*6), 0.0, 5)
self.assertAlmostEqual(s.probability_in(s.mean, 50), 0.5, 5)
d1 = DDist(['a', 'b', 'a', 'a', 'b'])
d2 = DDist(['a', 'b', 'a', 'a', 'b'])
d3 = DDist(['a', 'b', 'a', 'a', 'b', 'c'])
self.assertEqual(d1, d2)
self.assertNotEqual(d1, d3)
self.assertNotEqual(d2, d3)
self.assertEqual(d1.best, 'a')
self.assertEqual(d1.best_prob, 3/5.)
self.assertEqual(d2.best, 'a')
self.assertEqual(d3.best, 'a')
print('Done.')
def test_data(self):
print('Testing data class...')
# Load data from a file.
data = Data('rdata1')
self.assertEqual(len(data), 16)
data = list(Data('rdata1'))
self.assertEqual(len(data), 16)
# Load data from memory or some other arbitrary source.
data = """a,b,c,d,cls
1,1,1,1,a
1,1,1,2,a
1,1,2,3,a
1,1,2,4,a
1,2,3,5,a
1,2,3,6,a
1,2,4,7,a
1,2,4,8,a
2,3,5,1,b
2,3,5,2,b
2,3,6,3,b
2,3,6,4,b
2,4,7,5,b
2,4,7,6,b
2,4,8,7,b
2,4,8,8,b""".strip().split('\n')
rows = list(csv.DictReader(data))
self.assertEqual(len(rows), 16)
rows = Data(
[r.split(',') for r in data[1:]],
order=['a', 'b', 'c', 'd', 'cls'],
types=dict(a=DIS, b=DIS, c=DIS, d=DIS, cls=NOM),
modes=dict(cls=CLS))
self.assertEqual(len(rows), 16)
self.assertEqual(len(list(rows)), 16)
for row in rows:
print(row)
a, b = rows.split(ratio=0.1)
self.assertEqual(len(rows), len(a)+len(b))
print('-'*80)
print('a:')
for row in a:
print(row)
print('-'*80)
print('b:')
for row in b:
print(row)
print('Done.')
def test_batch_tree(self):
print('Testing batch tree...')
# If we set no leaf threshold for a continuous class
# then there will be the same number of leaf nodes
# as there are number of records.
t = Tree.build(Data('rdata2'))
self.assertEqual(type(t), Tree)
print("Tree:")
pprint(t.to_dict(), indent=4)
self.assertEqual(set(t._tree['b'].keys()), set([1, 2, 3, 4]))
result = t.test(Data('rdata1'))
self.assertEqual(type(result), CDist)
print('MAE:', result.mean)
self.assertAlmostEqual(result.mean, 0.001368, 5)
self.assertEqual(t.leaf_count, 16)
# If we set a leaf threshold, then this will limit the number of leaf
# nodes created, speeding up prediction, at the expense of increasing
# the mean absolute error.
t = Tree.build(Data('rdata2'), leaf_threshold=0.0005)
print("Tree:")
pprint(t.to_dict(), indent=4)
print(t._tree['b'].keys())
self.assertEqual(t._tree.get_values('b'), set([1, 2, 3, 4]))
result = t.test(Data('rdata1'))
print('MAE:', result.mean)
self.assertAlmostEqual(result.mean, 0.00623, 5)
self.assertEqual(t.leaf_count, 10)
t = Tree.build(Data('cdata1'))
print("Tree:")
self.assertEqual(t['Age']['36 - 55'].attr_name, 'Marital Status')
self.assertEqual(t['Age']['36 - 55']\
.get_values('Marital Status'), set(['single', 'married']))
self.assertEqual(set(t['Age'].keys()), set(['< 18', '18 - 35', '36 - 55', '> 55']))
self.assertEqual(t['Age']['18 - 35'].best, 'won\'t buy')
self.assertEqual(t['Age']['36 - 55']['Marital Status']['single'].best, 'will buy')
d = t.to_dict()
pprint(d, indent=4)
result = t.test(Data('cdata1'))
print('Accuracy:', result.mean)
self.assertAlmostEqual(result.mean, 1.0, 5)
t = Tree.build(Data('cdata2'))
pprint(t.to_dict(), indent=4)
result = t.test(Data('cdata2'))
print('Accuracy:', result.mean)
self.assertAlmostEqual(result.mean, 1.0, 5)
result = t.test(Data('cdata3'))
print('Accuracy:', result.mean)
self.assertAlmostEqual(result.mean, 0.75, 5)
# Send it a corpus that's purposefully difficult to predict.
t = Tree.build(Data('cdata4'))
pprint(t.to_dict(), indent=4)
result = t.test(Data('cdata4'))
print('Accuracy:', result.mean)
self.assertAlmostEqual(result.mean, 0.5, 5)
# Send it a case it's never seen.
with self.assertRaises(AssertionError):
# By default, it should throw an exception because it hasn't been
# given a policy for resolving unseen attribute value.
t.predict(dict(a=1, b=2, c=3, d=4))
# But if we tell it to use the nearest value, then it should pass.
t.set_missing_value_policy(USE_NEAREST)
result = t.predict(dict(a=1, b=2, c=3, d=4))
print(result)
print('Done.')
def test_online_tree(self):
print('Testing online tree...')
rdata3 = Data('rdata3')
rdata3_lst = list(rdata3)
cdata2 = Data('cdata2')
cdata2_lst = list(cdata2)
cdata5 = Data('cdata5')
cdata5_lst = list(cdata5)
tree = Tree(cdata2, metric=ENTROPY1)
for row in cdata2:
tree.train(row)
node = tree._tree
attr_gains = [(node.get_gain(attr_name), attr_name) for attr_name in node.attributes]
attr_gains.sort()
# With traditional entropy, a b and c all evenly divide the class
# and therefore have the same gain, even though all three
# have different value frequencies.
self.assertEqual(attr_gains,
[(0.0, 'd'), (1.0, 'a'), (1.0, 'b'), (1.0, 'c')])
tree = Tree(cdata2, metric=ENTROPY2)
for row in cdata2:
tree.train(row)
self.assertEqual(set(node.attributes), set(['a', 'b', 'c', 'd']))
node = tree._tree
attr_gains = [(node.get_gain(attr_name), attr_name) for attr_name in node.attributes]
attr_gains.sort()
# With entropy metric 2, attributes that have fewer unique values
# will have a slightly greater gain relative to attributes with more
# unique values.
self.assertEqual(attr_gains,
[(-0.375, 'd'), (0.625, 'c'), (0.875, 'b'), (1.0, 'a')])
tree = Tree(rdata3, metric=VARIANCE1)
for row in rdata3:
tree.train(row)
node = tree._tree
self.assertEqual(set(node.attributes), set(['a', 'b', 'c', 'd']))
attr_gains = [(node.get_gain(attr_name), attr_name) for attr_name in node.attributes]
attr_gains.sort()
# With entropy metric 2, attributes that have fewer unique values
# will have a slightly greater gain relative to attributes with more
# unique values.
self.assertEqual([v for _, v in attr_gains], ['d', 'a', 'b', 'c'])
tree = Tree(rdata3, metric=VARIANCE2)
for row in rdata3:
tree.train(row)
node = tree._tree
self.assertEqual(set(node.attributes), set(['a', 'b', 'c', 'd']))
attr_gains = [(node.get_gain(attr_name), attr_name) for attr_name in node.attributes]
attr_gains.sort()
# With entropy metric 2, attributes that have fewer unique values
# will have a slightly greater gain relative to attributes with more
# unique values.
self.assertEqual([v for _, v in attr_gains], ['d', 'c', 'b', 'a'])
# Incrementally grow a classification tree.
print("-"*80)
print("Incrementally growing classification tree...")
tree = Tree(cdata5, metric=ENTROPY2, splitting_n=17, auto_grow=True)
for row in cdata5:
tree.train(row)
acc = tree.test(cdata5)
print('Initial accuracy:', acc.mean)
self.assertEqual(acc.mean, 0.25)
# Update tree several times to give leaf nodes potential time to split.
for _ in range(5):
for row in cdata5:
#print(row
tree.train(row)
acc = tree.test(cdata5)
print('Accuracy:', acc.mean)
print('Final tree:')
pprint(tree.to_dict(), indent=4)
# Confirm no more nodes have split, since the optimal split has
# already been found and the tree is fully grown.
self.assertEqual(tree['b'][1].ready_to_split, False)
self.assertEqual(tree['b'][1]._branches, {})
# Test accuracy of fully grown tree.
acc = tree.test(cdata5)
self.assertEqual(acc.mean, 1.0)
# Incrementally grow a regression tree.
print("-"*80)
print("Incrementally growing regression tree...")
tree = Tree(rdata3, metric=VARIANCE2, splitting_n=17, auto_grow=True, leaf_threshold=0.0)
for row in rdata3:
tree.train(row)
mae = tree.test(rdata3)
print('Initial MAE:', mae.mean)
self.assertAlmostEqual(mae.mean, 0.4, 5)
for _ in range(20):
for row in rdata3:
tree.train(row)
mae = tree.test(rdata3)
print('MAE:', mae.mean)
print("Final tree:")
pprint(tree.to_dict(), indent=4)
self.assertEqual(mae.mean, 0.0)
print('Done.')
def test_forest(self):
print('Testing forest...')
print('Growing forest incrementally...')
cdata2 = Data('cdata2')
cdata2_lst = list(cdata2)
# Incrementally train and test the forest on the same data.
forest = Forest(
data=cdata2,
size=10, # Grow 10 trees.
sample_ratio=0.8, # Train each tree on 80% of all records.
grow_method=GROW_AUTO_INCREMENTAL, # Incrementally grow each tree.
weighting_method=Forest.mean_oob_mae_weight,
tree_kwargs=dict(metric=ENTROPY2),
)
mae = None
for _ in range(10):
for row in cdata2_lst:
forest.train(row)
mae = forest.test(cdata2_lst)
print('Forest MAE:', mae.mean)
self.assertEqual(mae.mean, 1.0)
trees = list(forest.trees)
trees.sort(key=lambda t: t.out_of_bag_mae.mean)
print('Best tree:')
pprint(trees[-1].to_dict(), indent=4)
self.assertEqual(trees[-1].auto_grow, True)
print('Done.')
def test_milksets(self):
try:
from milksets import wine, yeast # pylint: disable=import-outside-toplevel
except ImportError:
print('Skipping milkset tests because milksets is not installed.')
print('Run `sudo pip install milksets` and rerun these tests.')
return
def leave_one_out(all_data, metric=None):
test_data, train_data = all_data.split(leave_one_out=True)
tree = Tree.build(train_data, metric=metric)
tree.set_missing_value_policy(USE_NEAREST)
result = tree.test(test_data)
return result.mean
def cross_validate(all_data, epoches=10, test_ratio=0.25, metric=None):
accuracies = []
for epoche in range(epoches):
test_data, train_data = all_data.split(ratio=test_ratio)
tree = Tree.build(train_data, metric=metric)
tree.set_missing_value_policy(USE_NEAREST)
result = tree.test(test_data)
accuracies.append(result.mean)
return sum(accuracies)/float(len(accuracies))
# Load wine dataset.
# Each record has 13 continuous features
# and one discrete class containing 2 unique values.
print('Loading UCI wine data...')
wine_data = Data(
[list(a)+[b] for a, b in zip(*wine.load())],
order=map(str, range(13))+['cls'],
types=[CON]*13 + [DIS],
modes=dict(cls=CLS))
self.assertEqual(len(wine_data), 178)
self.assertEqual(len(list(wine_data)), 178)
# Load yeast dataset.
# Each record has 8 continuous features
# and one discrete class containing 10 values.
print('Loading UCI yeast data...')
yeast_data = Data(
[list(a)+[b] for a, b in zip(*yeast.load())],
order=map(str, range(8))+['cls'],
types=[CON]*8 + [DIS],
modes=dict(cls=CLS))
self.assertEqual(len(yeast_data), 1484)
self.assertEqual(len(list(yeast_data)), 1484)
acc = leave_one_out(wine_data, metric=ENTROPY1)
print('Wine leave-one-out accuracy: %0.2f' % (acc,))
acc = cross_validate(wine_data, metric=ENTROPY1, test_ratio=0.01, epoches=25)
print('Wine cross-validated accuracy: %0.2f' % (acc,))
acc = leave_one_out(yeast_data, metric=ENTROPY1)
print('Yeast leave-one-out accuracy: %0.2f' % (acc,))
acc = cross_validate(yeast_data, metric=ENTROPY1, test_ratio=0.005, epoches=25)
print('Yeast cross-validated accuracy: %0.2f' % (acc,))
def test_entropy(self):
# Lopsided distribution with mostly all events in one group
# is low entropy.
self.assertAlmostEqual(entropy({+1:10, -1:10, 0:980}), 0.1018576)
# Everything in one group is 0 entropy.
self.assertAlmostEqual(entropy({0:1000}), 0.0)
# Everything equally divided is highest entropy.
self.assertAlmostEqual(entropy({+1:500, -1:500}), 1.0)
data1 = {+1:1, -1:1}#,0:200-2}
data2 = {+1:100, -1:100}
# Entropy1 doesn't care about size.
e11 = entropy(data1, method=ENTROPY1)
e21 = entropy(data2, method=ENTROPY1)
self.assertEqual(e11, 1.0)
self.assertEqual(e11, e21)
# Entropy2 takes size into account.
e12 = entropy(data1, method=ENTROPY2)
e22 = entropy(data2, method=ENTROPY2)
self.assertEqual(e12, 0.5)
self.assertEqual(e22, 0.995)
# Entropy3 takes large numbers of values into account, but otherwise ignores size.
e13 = entropy(data1, method=ENTROPY3)
e23 = entropy(data2, method=ENTROPY3)
self.assertEqual(e13, -49.0)
self.assertEqual(e23, 0.5)
if __name__ == '__main__':
unittest.main()
|
lgpl-3.0
|
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] |
endlessm/chromium-browser
|
native_client/pnacl/driver/pnacl-readelf.py
|
2
|
3751
|
#!/usr/bin/python
# Copyright (c) 2012 The Native Client Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
from __future__ import print_function
from driver_env import env
from driver_log import Log
import driver_tools
import filetype
EXTRA_ENV = {
'INPUTS': '',
'FLAGS': '',
}
PATTERNS = [
( '(-.*)', "env.append('FLAGS', $0)"),
( '(.*)', "env.append('INPUTS', pathtools.normalize($0))"),
]
def main(argv):
env.update(EXTRA_ENV)
driver_tools.ParseArgs(argv, PATTERNS)
inputs = env.get('INPUTS')
if len(inputs) == 0:
Log.Fatal("No input files given")
for infile in inputs:
driver_tools.CheckPathLength(infile)
env.push()
env.set('input', infile)
if filetype.IsLLVMBitcode(infile):
# Hack to support newlib build.
# Newlib determines whether the toolchain supports .init_array, etc., by
# compiling a small test and looking for a specific section tidbit using
# "readelf -S". Since pnacl compiles to bitcode, readelf isn't available.
# (there is a line: "if ${READELF} -S conftest | grep -e INIT_ARRAY"
# in newlib's configure file).
# TODO(sehr): we may want to implement a whole readelf on bitcode.
flags = env.get('FLAGS')
if len(flags) == 1 and flags[0] == '-S':
print('INIT_ARRAY')
return 0
Log.Fatal('Cannot handle pnacl-readelf %s' % str(argv))
return 1
driver_tools.Run('"${READELF}" ${FLAGS} ${input}')
env.pop()
# only reached in case of no errors
return 0
def get_help(unused_argv):
return """
Usage: %s <option(s)> elf-file(s)
Display information about the contents of ELF format files
Options are:
-a --all Equivalent to: -h -l -S -s -r -d -V -A -I
-h --file-header Display the ELF file header
-l --program-headers Display the program headers
--segments An alias for --program-headers
-S --section-headers Display the sections' header
--sections An alias for --section-headers
-g --section-groups Display the section groups
-t --section-details Display the section details
-e --headers Equivalent to: -h -l -S
-s --syms Display the symbol table
--symbols An alias for --syms
-n --notes Display the core notes (if present)
-r --relocs Display the relocations (if present)
-u --unwind Display the unwind info (if present)
-d --dynamic Display the dynamic section (if present)
-V --version-info Display the version sections (if present)
-A --arch-specific Display architecture specific information (if any).
-c --archive-index Display the symbol/file index in an archive
-D --use-dynamic Use the dynamic section info when displaying symbols
-x --hex-dump=<number|name>
Dump the contents of section <number|name> as bytes
-p --string-dump=<number|name>
Dump the contents of section <number|name> as strings
-R --relocated-dump=<number|name>
Dump the contents of section <number|name> as relocated bytes
-w[lLiaprmfFsoR] or
--debug-dump[=rawline,=decodedline,=info,=abbrev,=pubnames,=aranges,=macro,=frames,=str,=loc,=Ranges]
Display the contents of DWARF2 debug sections
-I --histogram Display histogram of bucket list lengths
-W --wide Allow output width to exceed 80 characters
@<file> Read options from <file>
-H --help Display this information
-v --version Display the version number of readelf
""" % env.getone('SCRIPT_NAME')
|
bsd-3-clause
|
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kreatorkodi/repository.torrentbr
|
script.module.urlresolver/lib/urlresolver/plugins/lib/recaptcha_v2.py
|
1
|
7299
|
# -*- coding: utf-8 -*-
"""
urlresolver XBMC Addon
Copyright (C) 2016 tknorris
Derived from Shani's LPro Code (https://github.com/Shani-08/ShaniXBMCWork2/blob/master/plugin.video.live.streamspro/unCaptcha.py)
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
reusable captcha methods
"""
import re
import os
import xbmcgui
from urlresolver import common
class cInputWindow(xbmcgui.WindowDialog):
def __init__(self, *args, **kwargs):
bg_image = os.path.join(common.addon_path, 'resources', 'images', 'DialogBack2.png')
check_image = os.path.join(common.addon_path, 'resources', 'images', 'checked.png')
button_fo = os.path.join(common.kodi.get_path(), 'resources', 'skins', 'Default', 'media', 'button-fo.png')
button_nofo = os.path.join(common.kodi.get_path(), 'resources', 'skins', 'Default', 'media', 'button-nofo.png')
self.cancelled = False
self.chk = [0] * 9
self.chkbutton = [0] * 9
self.chkstate = [False] * 9
imgX, imgY, imgw, imgh = 436, 210, 408, 300
ph, pw = imgh / 3, imgw / 3
x_gap = 70
y_gap = 70
button_gap = 40
button_h = 40
button_y = imgY + imgh + button_gap
middle = imgX + (imgw / 2)
win_x = imgX - x_gap
win_y = imgY - y_gap
win_h = imgh + 2 * y_gap + button_h + button_gap
win_w = imgw + 2 * x_gap
ctrlBackgound = xbmcgui.ControlImage(win_x, win_y, win_w, win_h, bg_image)
self.addControl(ctrlBackgound)
self.msg = '[COLOR red]%s[/COLOR]' % (kwargs.get('msg'))
self.strActionInfo = xbmcgui.ControlLabel(imgX, imgY - 30, imgw, 20, self.msg, 'font13')
self.addControl(self.strActionInfo)
img = xbmcgui.ControlImage(imgX, imgY, imgw, imgh, kwargs.get('captcha'))
self.addControl(img)
self.iteration = kwargs.get('iteration')
self.strActionInfo = xbmcgui.ControlLabel(imgX, imgY + imgh, imgw, 20, common.i18n('captcha_round') % (str(self.iteration)), 'font40')
self.addControl(self.strActionInfo)
self.cancelbutton = xbmcgui.ControlButton(middle - 110, button_y, 100, button_h, common.i18n('cancel'), focusTexture=button_fo, noFocusTexture=button_nofo, alignment=2)
self.okbutton = xbmcgui.ControlButton(middle + 10, button_y, 100, button_h, common.i18n('ok'), focusTexture=button_fo, noFocusTexture=button_nofo, alignment=2)
self.addControl(self.okbutton)
self.addControl(self.cancelbutton)
for i in xrange(9):
row = i / 3
col = i % 3
x_pos = imgX + (pw * col)
y_pos = imgY + (ph * row)
self.chk[i] = xbmcgui.ControlImage(x_pos, y_pos, pw, ph, check_image)
self.addControl(self.chk[i])
self.chk[i].setVisible(False)
self.chkbutton[i] = xbmcgui.ControlButton(x_pos, y_pos, pw, ph, str(i + 1), font='font1', focusTexture=button_fo, noFocusTexture=button_nofo)
self.addControl(self.chkbutton[i])
for i in xrange(9):
row_start = (i / 3) * 3
right = row_start + (i + 1) % 3
left = row_start + (i - 1) % 3
up = (i - 3) % 9
down = (i + 3) % 9
self.chkbutton[i].controlRight(self.chkbutton[right])
self.chkbutton[i].controlLeft(self.chkbutton[left])
if i <= 2:
self.chkbutton[i].controlUp(self.okbutton)
else:
self.chkbutton[i].controlUp(self.chkbutton[up])
if i >= 6:
self.chkbutton[i].controlDown(self.okbutton)
else:
self.chkbutton[i].controlDown(self.chkbutton[down])
self.okbutton.controlLeft(self.cancelbutton)
self.okbutton.controlRight(self.cancelbutton)
self.cancelbutton.controlLeft(self.okbutton)
self.cancelbutton.controlRight(self.okbutton)
self.okbutton.controlDown(self.chkbutton[2])
self.okbutton.controlUp(self.chkbutton[8])
self.cancelbutton.controlDown(self.chkbutton[0])
self.cancelbutton.controlUp(self.chkbutton[6])
self.setFocus(self.okbutton)
def get(self):
self.doModal()
self.close()
if not self.cancelled:
return [i for i in xrange(9) if self.chkstate[i]]
def onControl(self, control):
if control == self.okbutton and any(self.chkstate):
self.close()
elif control == self.cancelbutton:
self.cancelled = True
self.close()
else:
label = control.getLabel()
if label.isnumeric():
index = int(label) - 1
self.chkstate[index] = not self.chkstate[index]
self.chk[index].setVisible(self.chkstate[index])
def onAction(self, action):
if action == 10:
self.cancelled = True
self.close()
class UnCaptchaReCaptcha:
net = common.Net()
def processCaptcha(self, key, lang):
headers = {'Referer': 'https://www.google.com/recaptcha/api2/demo', 'Accept-Language': lang}
html = self.net.http_GET('http://www.google.com/recaptcha/api/fallback?k=%s' % (key), headers=headers).content
token = ''
iteration = 0
while True:
payload = re.findall('"(/recaptcha/api2/payload[^"]+)', html)
iteration += 1
message = re.findall('<label[^>]+class="fbc-imageselect-message-text"[^>]*>(.*?)</label>', html)
if not message:
message = re.findall('<div[^>]+class="fbc-imageselect-message-error">(.*?)</div>', html)
if not message:
token = re.findall('"this\.select\(\)">(.*?)</textarea>', html)[0]
if token:
common.log_utils.log_debug('Captcha Success: %s' % (token))
else:
common.log_utils.log_debug('Captcha Failed: %s')
break
else:
message = message[0]
payload = payload[0]
cval = re.findall('name="c"\s+value="([^"]+)', html)[0]
captcha_imgurl = 'https://www.google.com%s' % (payload.replace('&', '&'))
message = re.sub('</?strong>', '', message)
oSolver = cInputWindow(captcha=captcha_imgurl, msg=message, iteration=iteration)
captcha_response = oSolver.get()
if not captcha_response:
break
data = {'c': cval, 'response': captcha_response}
html = self.net.http_POST("http://www.google.com/recaptcha/api/fallback?k=%s" % (key), form_data=data, headers=headers).content
return token
|
gpl-2.0
|
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histed/pylibnidaqmxMH
|
nidaqmx/optparse_options.py
|
16
|
8570
|
import os
from optparse import OptionGroup
def get_method_arguments(methodname, options, kws=None):
args = []
if kws is None:
kws = {}
for name in dir (options):
value = getattr (options, name)
if name.startswith(methodname) and value is not None:
kws[name[len(methodname)+1:]] = value
return tuple(args), kws
def set_di_options (parser):
if os.name == 'posix':
parser.run_methods = ['subcommand']
import nidaqmx
from nidaqmx.libnidaqmx import make_pattern
parser.set_usage ('''\
%prog [options]
Description:
%prog provides graphical interface to NIDAQmx digital input task.
''')
phys_channel_choices = []
for dev in nidaqmx.DigitalInputTask.get_system_devices():
phys_channel_choices.extend(dev.get_digital_input_lines())
pattern = make_pattern(phys_channel_choices)
parser.add_option ('--create-channel-lines',
type = 'string',
help = 'Specify digital lines as a pattern ['+pattern+']. Default: %default.')
get_digital_io_options_group (parser, parser)
get_di_read_options_group (parser, parser)
parser.add_option('--di-task',
default = 'print',
choices = ['print'])
def set_do_options (parser):
if os.name == 'posix':
parser.run_methods = ['subcommand']
import nidaqmx
from nidaqmx.libnidaqmx import make_pattern
parser.set_usage ('''\
%prog [options]
Description:
%prog provides graphical interface to NIDAQmx digital output task.
''')
phys_channel_choices = []
for dev in nidaqmx.DigitalOutputTask.get_system_devices():
phys_channel_choices.extend(dev.get_digital_output_lines())
pattern = make_pattern(phys_channel_choices)
parser.add_option ('--create-channel-lines',
type = 'string',
help = 'Specify digital lines as a pattern ['+pattern+']. Default: %default.')
get_digital_io_options_group (parser, parser)
get_do_write_options_group (parser, parser)
parser.add_option('--do-task', default = 'scalar1', choices = ['scalar1', 'scalar0', 'ten', 'tenfive'])
parser.add_option ('--do-task-duration',
type = 'float',
default = 60.0)
def set_ai_options (parser):
if os.name == 'posix':
parser.run_methods = ['subcommand']
import nidaqmx
from nidaqmx.libnidaqmx import make_pattern
parser.set_usage ('''\
%prog [options]
Description:
%prog provides graphical interface to NIDAQmx analog input task.
''')
ai_phys_channel_choices = []
for dev in nidaqmx.AnalogInputTask.get_system_devices():
ai_phys_channel_choices.extend(dev.get_analog_input_channels())
pattern = make_pattern(ai_phys_channel_choices)
parser.add_option ('--create-voltage-channel-phys-channel',
type = 'string',
help = 'Specify physical channel as a pattern ['+pattern+']. Default: %default.')
get_analog_io_options_group (parser, parser)
get_ai_read_options_group (parser, parser)
parser.add_option('--ai-task',
default = 'print',
choices = ['print', 'plot', 'show'])
parser.add_option_group (get_configure_timing_options_group (parser))
def set_ao_options (parser):
if os.name == 'posix':
parser.run_methods = ['subcommand']
import nidaqmx
from nidaqmx.libnidaqmx import make_pattern
parser.set_usage ('''\
%prog [options]
Description:
%prog provides graphical interface to NIDAQmx analog output task.
''')
ao_phys_channel_choices = []
for dev in nidaqmx.AnalogOutputTask.get_system_devices():
ao_phys_channel_choices.extend(dev.get_analog_output_channels())
pattern = make_pattern(ao_phys_channel_choices)
parser.add_option ('--create-voltage-channel-phys-channel',
type = 'string',
help = 'Specify physical channel as a pattern ['+pattern+']. Default: %default.')
get_analog_io_options_group(parser, parser, skip_terminal=True)
get_ao_write_options_group (parser, parser)
parser.add_option('--ao-task',
default = 'sin',
choices = ['sin'])
parser.add_option ('--ao-task-duration',
type = 'float',
default = 10.0)
parser.add_option_group (get_configure_timing_options_group (parser))
def get_configure_timing_options_group(parser, group=None):
if group is None:
group = OptionGroup(parser, 'Timing options')
group.add_option ('--configure-timing-sample-clock-source',
type = 'string', default='OnboardClock',
)
group.add_option ('--configure-timing-sample-clock-rate',
default = 1.0,
type = 'float',
)
group.add_option ('--configure-timing-sample-clock-active-edge',
choices = ['rising','falling'],
)
group.add_option ('--configure-timing-sample-clock-sample-mode',
default = 'continuous',
choices = ['finite','continuous','hwtimed'])
group.add_option ('--configure-timing-sample-clock-samples-per-channel',
type = 'int'
)
return group
def get_analog_io_options_group (parser, group=None, skip_terminal=False):
if group is None:
group = OptionGroup (parser, 'Analog I/O options')
group.add_option ('--create-voltage-channel-channel-name',
type = 'string')
if not skip_terminal:
group.add_option ('--create-voltage-channel-terminal',
choices = ['default','rse','nrse','diff','pseudodiff'])
group.add_option ('--create-voltage-channel-min-val',
type = 'float')
group.add_option ('--create-voltage-channel-max-val',
type = 'float',
)
group.add_option ('--create-voltage-channel-units',
choices = ['volts', 'custom'])
group.add_option ('--create-voltage-channel-custom-scale-name')
return group
def get_digital_io_options_group (parser, group=None):
if group is None:
group = OptionGroup (parser, 'Digital I/O options')
group.add_option ('--create-channel-name',
type = 'string')
group.add_option ('--create-channel-grouping',
choices = ['per_line', 'for_all_lines']
)
return group
def get_ai_read_options_group(parser, group=None):
assert group is not None, `group`
group.add_option ('--ai-read-samples-per-channel',
type = 'int')
group.add_option ('--ai-read-timeout',
default = 10.0,
type = 'float')
group.add_option ('--ai-read-fill-mode',
choices = ['group_by_scan_number','group_by_channel'])
return group
def get_di_read_options_group(parser, group=None):
assert group is not None, `group`
group.add_option ('--di-read-samples-per-channel',
type = 'int')
group.add_option ('--di-read-timeout',
default = 10.0,
type = 'float')
group.add_option ('--di-read-fill-mode',
choices = ['group_by_scan_number','group_by_channel'])
return group
def get_ao_write_options_group(parser, group=None):
assert group is not None, `group`
group.add_option ('--ao-write-auto-start', action='store_true')
group.add_option ('--no-ao-write-auto-start', dest='ao_write_auto_start', action='store_false')
group.add_option ('--ao-write-timeout',
default = 10.0,
type = 'float')
group.add_option ('--ao-write-layout',
choices = ['group_by_scan_number','group_by_channel'])
return group
def get_do_write_options_group(parser, group=None):
assert group is not None, `group`
group.add_option ('--do-write-auto-start', action='store_true')
group.add_option ('--no-do-write-auto-start', dest='do_write_auto_start', action='store_false')
group.add_option ('--do-write-timeout',
default = 10.0,
type = 'float')
group.add_option ('--do-write-layout',
choices = ['group_by_scan_number','group_by_channel'])
return group
|
bsd-3-clause
|
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compbrain/dexcom_reader
|
dexcom_reader/database_records.py
|
2
|
6109
|
import crc16
import constants
import struct
import util
import binascii
class BaseDatabaseRecord(object):
FORMAT = None
@classmethod
def _CheckFormat(cls):
if cls.FORMAT is None or not cls.FORMAT:
raise NotImplementedError("Subclasses of %s need to define FORMAT"
% cls.__name__)
@classmethod
def _ClassFormat(cls):
cls._CheckFormat()
return struct.Struct(cls.FORMAT)
@classmethod
def _ClassSize(cls):
return cls._ClassFormat().size
@property
def FMT(self):
self._CheckFormat()
return _ClassFormat()
@property
def SIZE(self):
return self._ClassSize()
@property
def crc(self):
return self.data[-1]
def __init__(self, data, raw_data):
self.raw_data = raw_data
self.data = data
self.check_crc()
def check_crc(self):
local_crc = self.calculate_crc()
if local_crc != self.crc:
raise constants.CrcError('Could not parse %s' % self.__class__.__name__)
def dump(self):
return ''.join('\\x%02x' % ord(c) for c in self.raw_data)
def calculate_crc(self):
return crc16.crc16(self.raw_data[:-2])
@classmethod
def Create(cls, data, record_counter):
offset = record_counter * cls._ClassSize()
raw_data = data[offset:offset + cls._ClassSize()]
unpacked_data = cls._ClassFormat().unpack(raw_data)
return cls(unpacked_data, raw_data)
class GenericTimestampedRecord(BaseDatabaseRecord):
FIELDS = [ ]
BASE_FIELDS = [ 'system_time', 'display_time' ]
@property
def system_time(self):
return util.ReceiverTimeToTime(self.data[0])
@property
def display_time(self):
return util.ReceiverTimeToTime(self.data[1])
def to_dict (self):
d = dict( )
for k in self.BASE_FIELDS + self.FIELDS:
d[k] = getattr(self, k)
if callable(getattr(d[k], 'isoformat', None)):
d[k] = d[k].isoformat( )
return d
class GenericXMLRecord(GenericTimestampedRecord):
FORMAT = '<II490sH'
@property
def xmldata(self):
data = self.data[2].replace("\x00", "")
return data
class InsertionRecord(GenericTimestampedRecord):
FORMAT = '<3IcH'
@property
def insertion_time(self):
return util.ReceiverTimeToTime(self.data[2])
@property
def session_state(self):
states = [None, 'REMOVED', 'EXPIRED', 'RESIDUAL_DEVIATION',
'COUNTS_DEVIATION', 'SECOND_SESSION', 'OFF_TIME_LOSS',
'STARTED', 'BAD_TRANSMITTER', 'MANUFACTURING_MODE']
return states[ord(self.data[3])]
def __repr__(self):
return '%s: state=%s' % (self.display_time, self.session_state)
class Calibration(GenericTimestampedRecord):
@property
def raw(self):
return binascii.hexlify(bytearray(self.data))
def __repr__(self):
return '%s: CAL SET:%s' % (self.display_time, self.raw)
class MeterRecord(GenericTimestampedRecord):
FORMAT = '<2IHIH'
@property
def meter_glucose(self):
return self.data[2]
@property
def meter_time(self):
return util.ReceiverTimeToTime(self.data[3])
def __repr__(self):
return '%s: Meter BG:%s' % (self.display_time, self.meter_glucose)
class EventRecord(GenericTimestampedRecord):
# sys_time,display_time,glucose,meter_time,crc
FORMAT = '<2I2c2IH'
@property
def event_type(self):
event_types = [None, 'CARBS', 'INSULIN', 'HEALTH', 'EXCERCISE',
'MAX_VALUE']
return event_types[ord(self.data[2])]
@property
def event_sub_type(self):
subtypes = {'HEALTH': [None, 'ILLNESS', 'STRESS', 'HIGH_SYMPTOMS',
'LOW_SYMTOMS', 'CYCLE', 'ALCOHOL'],
'EXCERCISE': [None, 'LIGHT', 'MEDIUM', 'HEAVY',
'MAX_VALUE']}
if self.event_type in subtypes:
return subtypes[self.event_type][ord(self.data[3])]
@property
def display_time(self):
return util.ReceiverTimeToTime(self.data[4])
@property
def event_value(self):
value = self.data[5]
if self.event_type == 'INSULIN':
value = value / 100.0
return value
def __repr__(self):
return '%s: event_type=%s sub_type=%s value=%s' % (self.display_time, self.event_type,
self.event_sub_type, self.event_value)
class SensorRecord(GenericTimestampedRecord):
# uint, uint, uint, uint, ushort
# (system_seconds, display_seconds, unfiltered, filtered, rssi, crc)
FORMAT = '<2IIIHH'
# (unfiltered, filtered, rssi)
FIELDS = ['unfiltered', 'filtered', 'rssi']
@property
def unfiltered(self):
return self.data[2]
@property
def filtered(self):
return self.data[3]
@property
def rssi(self):
return self.data[3]
"""
def to_dict (self):
return dict(display_time=self.display_time.isoformat( )
, system_time=self.system_time.isoformat( )
, unfiltered=self.unfiltered
, filtered=self.filtered
, rssi=self.rssi
)
"""
class EGVRecord(GenericTimestampedRecord):
# uint, uint, ushort, byte, ushort
# (system_seconds, display_seconds, glucose, trend_arrow, crc)
FIELDS = ['glucose', 'trend_arrow']
FORMAT = '<2IHcH'
@property
def full_glucose(self):
return self.data[2]
@property
def full_trend(self):
return self.data[3]
@property
def display_only(self):
return bool(self.full_glucose & constants.EGV_DISPLAY_ONLY_MASK)
@property
def glucose(self):
return self.full_glucose & constants.EGV_VALUE_MASK
@property
def glucose_special_meaning(self):
if self.glucose in constants.SPECIAL_GLUCOSE_VALUES:
return constants.SPECIAL_GLUCOSE_VALUES[self.glucose]
@property
def is_special(self):
return self.glucose_special_meaning is not None
@property
def trend_arrow(self):
arrow_value = ord(self.full_trend) & constants.EGV_TREND_ARROW_MASK
return constants.TREND_ARROW_VALUES[arrow_value]
def __repr__(self):
if self.is_special:
return '%s: %s' % (self.display_time, self.glucose_special_meaning)
else:
return '%s: CGM BG:%s (%s) DO:%s' % (self.display_time, self.glucose,
self.trend_arrow, self.display_only)
|
mit
|
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nixcloud/linux-odroid
|
tools/perf/scripts/python/futex-contention.py
|
1997
|
1508
|
# futex contention
# (c) 2010, Arnaldo Carvalho de Melo <acme@redhat.com>
# Licensed under the terms of the GNU GPL License version 2
#
# Translation of:
#
# http://sourceware.org/systemtap/wiki/WSFutexContention
#
# to perf python scripting.
#
# Measures futex contention
import os, sys
sys.path.append(os.environ['PERF_EXEC_PATH'] + '/scripts/python/Perf-Trace-Util/lib/Perf/Trace')
from Util import *
process_names = {}
thread_thislock = {}
thread_blocktime = {}
lock_waits = {} # long-lived stats on (tid,lock) blockage elapsed time
process_names = {} # long-lived pid-to-execname mapping
def syscalls__sys_enter_futex(event, ctxt, cpu, s, ns, tid, comm, callchain,
nr, uaddr, op, val, utime, uaddr2, val3):
cmd = op & FUTEX_CMD_MASK
if cmd != FUTEX_WAIT:
return # we don't care about originators of WAKE events
process_names[tid] = comm
thread_thislock[tid] = uaddr
thread_blocktime[tid] = nsecs(s, ns)
def syscalls__sys_exit_futex(event, ctxt, cpu, s, ns, tid, comm, callchain,
nr, ret):
if thread_blocktime.has_key(tid):
elapsed = nsecs(s, ns) - thread_blocktime[tid]
add_stats(lock_waits, (tid, thread_thislock[tid]), elapsed)
del thread_blocktime[tid]
del thread_thislock[tid]
def trace_begin():
print "Press control+C to stop and show the summary"
def trace_end():
for (tid, lock) in lock_waits:
min, max, avg, count = lock_waits[tid, lock]
print "%s[%d] lock %x contended %d times, %d avg ns" % \
(process_names[tid], tid, lock, count, avg)
|
gpl-2.0
|
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MA3STR0/python-instagram
|
instagram/client.py
|
33
|
8778
|
from . import oauth2
from .bind import bind_method
from .models import MediaShortcode, Media, User, Location, Tag, Comment, Relationship
MEDIA_ACCEPT_PARAMETERS = ["count", "max_id"]
SEARCH_ACCEPT_PARAMETERS = ["q", "count"]
SUPPORTED_FORMATS = ['json']
class InstagramAPI(oauth2.OAuth2API):
host = "api.instagram.com"
base_path = "/v1"
access_token_field = "access_token"
authorize_url = "https://api.instagram.com/oauth/authorize"
access_token_url = "https://api.instagram.com/oauth/access_token"
protocol = "https"
api_name = "Instagram"
x_ratelimit_remaining = None
x_ratelimit = None
def __init__(self, *args, **kwargs):
format = kwargs.get('format', 'json')
if format in SUPPORTED_FORMATS:
self.format = format
else:
raise Exception("Unsupported format")
super(InstagramAPI, self).__init__(**kwargs)
media_popular = bind_method(
path="/media/popular",
accepts_parameters=MEDIA_ACCEPT_PARAMETERS,
root_class=Media)
media_search = bind_method(
path="/media/search",
accepts_parameters=SEARCH_ACCEPT_PARAMETERS + ['lat', 'lng', 'min_timestamp', 'max_timestamp', 'distance'],
root_class=Media)
media_shortcode = bind_method(
path="/media/shortcode/{shortcode}",
accepts_parameters=['shortcode'],
response_type="entry",
root_class=MediaShortcode,
exclude_format=True)
media_likes = bind_method(
path="/media/{media_id}/likes",
accepts_parameters=['media_id'],
root_class=User)
like_media = bind_method(
path="/media/{media_id}/likes",
method="POST",
signature=True,
accepts_parameters=['media_id'],
response_type="empty")
unlike_media = bind_method(
path="/media/{media_id}/likes",
method="DELETE",
signature=True,
accepts_parameters=['media_id'],
response_type="empty")
create_media_comment = bind_method(
path="/media/{media_id}/comments",
method="POST",
signature=True,
accepts_parameters=['media_id', 'text'],
response_type="empty",
root_class=Comment)
delete_comment = bind_method(
path="/media/{media_id}/comments/{comment_id}",
method="DELETE",
signature=True,
accepts_parameters=['media_id', 'comment_id'],
response_type="empty")
media_comments = bind_method(
path="/media/{media_id}/comments",
method="GET",
accepts_parameters=['media_id'],
response_type="list",
root_class=Comment)
media = bind_method(
path="/media/{media_id}",
accepts_parameters=['media_id'],
response_type="entry",
root_class=Media)
user_media_feed = bind_method(
path="/users/self/feed",
accepts_parameters=MEDIA_ACCEPT_PARAMETERS,
root_class=Media,
paginates=True)
user_liked_media = bind_method(
path="/users/self/media/liked",
accepts_parameters=MEDIA_ACCEPT_PARAMETERS,
root_class=Media,
paginates=True)
user_recent_media = bind_method(
path="/users/{user_id}/media/recent",
accepts_parameters=MEDIA_ACCEPT_PARAMETERS + ['user_id', 'min_id', 'max_timestamp', 'min_timestamp'],
root_class=Media,
paginates=True)
user_search = bind_method(
path="/users/search",
accepts_parameters=SEARCH_ACCEPT_PARAMETERS,
root_class=User)
user_follows = bind_method(
path="/users/{user_id}/follows",
accepts_parameters=["user_id"],
paginates=True,
root_class=User)
user_followed_by = bind_method(
path="/users/{user_id}/followed-by",
accepts_parameters=["user_id"],
paginates=True,
root_class=User)
user = bind_method(
path="/users/{user_id}",
accepts_parameters=["user_id"],
root_class=User,
response_type="entry")
location_recent_media = bind_method(
path="/locations/{location_id}/media/recent",
accepts_parameters=MEDIA_ACCEPT_PARAMETERS + ['location_id'],
root_class=Media,
paginates=True)
location_search = bind_method(
path="/locations/search",
accepts_parameters=SEARCH_ACCEPT_PARAMETERS + ['lat', 'lng', 'foursquare_id', 'foursquare_v2_id'],
root_class=Location)
location = bind_method(
path="/locations/{location_id}",
accepts_parameters=["location_id"],
root_class=Location,
response_type="entry")
geography_recent_media = bind_method(
path="/geographies/{geography_id}/media/recent",
accepts_parameters=MEDIA_ACCEPT_PARAMETERS + ["geography_id"],
root_class=Media,
paginates=True)
tag_recent_media = bind_method(
path="/tags/{tag_name}/media/recent",
accepts_parameters=['count', 'max_tag_id', 'tag_name'],
root_class=Media,
paginates=True)
tag_search = bind_method(
path="/tags/search",
accepts_parameters=SEARCH_ACCEPT_PARAMETERS,
root_class=Tag,
paginates=True)
tag = bind_method(
path="/tags/{tag_name}",
accepts_parameters=["tag_name"],
root_class=Tag,
response_type="entry")
user_incoming_requests = bind_method(
path="/users/self/requested-by",
root_class=User)
change_user_relationship = bind_method(
method="POST",
path="/users/{user_id}/relationship",
signature=True,
root_class=Relationship,
accepts_parameters=["user_id", "action"],
paginates=True,
requires_target_user=True,
response_type="entry")
user_relationship = bind_method(
method="GET",
path="/users/{user_id}/relationship",
root_class=Relationship,
accepts_parameters=["user_id"],
paginates=False,
requires_target_user=True,
response_type="entry")
def _make_relationship_shortcut(action):
def _inner(self, *args, **kwargs):
return self.change_user_relationship(user_id=kwargs.get("user_id"),
action=action)
return _inner
follow_user = _make_relationship_shortcut('follow')
unfollow_user = _make_relationship_shortcut('unfollow')
block_user = _make_relationship_shortcut('block')
unblock_user = _make_relationship_shortcut('unblock')
approve_user_request = _make_relationship_shortcut('approve')
ignore_user_request = _make_relationship_shortcut('ignore')
def _make_subscription_action(method, include=None, exclude=None):
accepts_parameters = ["object",
"aspect",
"object_id", # Optional if subscribing to all users
"callback_url",
"lat", # Geography
"lng", # Geography
"radius", # Geography
"verify_token"]
if include:
accepts_parameters.extend(include)
if exclude:
accepts_parameters = [x for x in accepts_parameters if x not in exclude]
signature = False if method == 'GET' else True
return bind_method(
path="/subscriptions",
method=method,
accepts_parameters=accepts_parameters,
include_secret=True,
objectify_response=False,
signature=signature,
)
create_subscription = _make_subscription_action('POST')
list_subscriptions = _make_subscription_action('GET')
delete_subscriptions = _make_subscription_action('DELETE', exclude=['object_id'], include=['id'])
|
bsd-3-clause
|
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] |
mandiant/ioc_writer
|
ioc_writer/scripts/iocdump.py
|
1
|
2104
|
# iocdump.py
#
# Copyright 2016 FireEye
# Licensed under the Apache 2.0 license. Developed for Mandiant by William
# Gibb.
#
# Mandiant licenses this file to you under the Apache License, Version
# 2.0 (the "License"); you may not use this file except in compliance with the
# License. You may obtain a copy of the License at:
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
# implied. See the License for the specific language governing
# permissions and limitations under the License.
#
# Allows for the upgrade of OpenIOC 1.0 IOCs to OpenIOC 1.1 format
#
# Stdlib
from __future__ import print_function
import argparse
import logging
import os
import sys
# Third Party code
# Custom Code
from ..managers import IOCManager
log = logging.getLogger(__name__)
def main(options):
if not options.verbose:
logging.disable(logging.DEBUG)
iocm = IOCManager()
for i in options.input:
iocm.insert(i)
for ioc_obj in iocm.iocs.values():
if options.hide_params:
ioc_obj.display_params = False
print(ioc_obj)
def makeargpaser():
parser = argparse.ArgumentParser(description="Display a textual representation of an IOC or directory of IOCs")
parser.add_argument('input', type=str, nargs='+',
help='Input files or folders')
parser.add_argument('-n', '--no-params', dest='hide_params', default=False, action='store_true',
help='Do not display parameters attached to an IOC.')
parser.add_argument('-v', '--verbose', dest='verbose', default=False, action='store_true',
help='Enable verbose output')
return parser
def _main():
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s %(levelname)s %(message)s [%(filename)s:%(funcName)s]')
p = makeargpaser()
opts = p.parse_args()
main(opts)
if __name__ == '__main__':
_main()
|
apache-2.0
|
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ingenioustechie/zamboni
|
mkt/zadmin/forms.py
|
19
|
4020
|
from django import forms
from django.conf import settings
import commonware.log
import happyforms
LOGGER_NAME = 'z.zadmin'
log = commonware.log.getLogger(LOGGER_NAME)
class DevMailerForm(happyforms.Form):
_choices = [('apps', 'Developers of active apps (not add-ons)'),
('free_apps_region_enabled',
'Developers of free apps and new region enabled'),
('free_apps_region_disabled',
'Developers of free apps with new regions disabled'),
('payments',
'Developers of non-deleted apps (not add-ons) with payments'),
('payments_region_enabled',
'Developers of apps with payments and new regions enabled'),
('payments_region_disabled',
'Developers of apps with payments and new regions disabled'),
('desktop_apps',
'Developers of non-deleted apps supported on desktop')]
recipients = forms.ChoiceField(choices=_choices, required=True)
subject = forms.CharField(widget=forms.TextInput(attrs=dict(size='100')),
required=True)
preview_only = forms.BooleanField(initial=True, required=False,
label=u'Log emails instead of sending')
message = forms.CharField(widget=forms.Textarea, required=True)
class YesImSure(happyforms.Form):
yes = forms.BooleanField(required=True, label="Yes, I'm sure")
class GenerateErrorForm(happyforms.Form):
error = forms.ChoiceField(choices=(
['zerodivisionerror', 'Zero Division Error (will email)'],
['iorequesterror', 'IORequest Error (no email)'],
['heka_statsd', 'Heka statsd message'],
['heka_json', 'Heka JSON message'],
['heka_cef', 'Heka CEF message'],
['heka_sentry', 'Heka Sentry message'],
['amo_cef', 'AMO CEF message'],
))
def explode(self):
error = self.cleaned_data.get('error')
if error == 'zerodivisionerror':
1 / 0
elif error == 'iorequesterror':
class IOError(Exception):
pass
raise IOError('request data read error')
elif error == 'heka_cef':
environ = {'REMOTE_ADDR': '127.0.0.1', 'HTTP_HOST': '127.0.0.1',
'PATH_INFO': '/', 'REQUEST_METHOD': 'GET',
'HTTP_USER_AGENT': 'MySuperBrowser'}
config = {'cef.version': '0',
'cef.vendor': 'Mozilla',
'cef.device_version': '3',
'cef.product': 'zamboni',
'cef': True}
settings.HEKA.cef('xx\nx|xx\rx', 5, environ, config,
username='me', ext1='ok=ok', ext2='ok\\ok',
logger_info='settings.HEKA')
elif error == 'heka_statsd':
settings.HEKA.incr(name=LOGGER_NAME)
elif error == 'heka_json':
settings.HEKA.heka(type="heka_json",
fields={'foo': 'bar', 'secret': 42,
'logger_type': 'settings.HEKA'})
elif error == 'heka_sentry':
# These are local variables only used
# by Sentry's frame hacking magic.
# They won't be referenced which may trigger flake8
# errors.
heka_conf = settings.HEKA_CONF # NOQA
active_heka_conf = settings.HEKA._config # NOQA
try:
1 / 0
except:
settings.HEKA.raven('heka_sentry error triggered')
elif error == 'amo_cef':
from mkt.site.utils import log_cef
env = {'REMOTE_ADDR': '127.0.0.1', 'HTTP_HOST': '127.0.0.1',
'PATH_INFO': '/', 'REQUEST_METHOD': 'GET',
'HTTP_USER_AGENT': 'MySuperBrowser'}
log_cef(settings.STATSD_PREFIX, 6, env)
class PriceTiersForm(happyforms.Form):
prices = forms.FileField()
|
bsd-3-clause
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kidaa/pySDC
|
examples/fenics_advection_diffusion_1d/TransferClass.py
|
3
|
2365
|
from __future__ import division
from pySDC.Transfer import transfer
from pySDC.datatype_classes.fenics_mesh import fenics_mesh,rhs_fenics_mesh
import dolfin as df
class mesh_to_mesh_fenics(transfer):
"""
Custon transfer class, implements Transfer.py
This implementation can restrict and prolong between fenics meshes
Attributes:
fine: reference to the fine level
coarse: reference to the coarse level
init_f: number of variables on the fine level (whatever init represents there)
init_c: number of variables on the coarse level (whatever init represents there)
"""
def __init__(self,fine_level,coarse_level,params):
"""
Initialization routine
Args:
fine_level: fine level connected with the transfer operations (passed to parent)
coarse_level: coarse level connected with the transfer operations (passed to parent)
params: parameters for the transfer operators
"""
# invoke super initialization
super(mesh_to_mesh_fenics,self).__init__(fine_level,coarse_level,params)
pass
def restrict_space(self,F):
"""
Restriction implementation
Args:
F: the fine level data (easier to access than via the fine attribute)
"""
if isinstance(F,fenics_mesh):
u_coarse = fenics_mesh(self.init_c)
u_coarse.values = df.interpolate(F.values,u_coarse.V)
elif isinstance(F,rhs_fenics_mesh):
u_coarse = rhs_fenics_mesh(self.init_c)
u_coarse.impl.values = df.interpolate(F.impl.values,u_coarse.impl.V)
u_coarse.expl.values = df.interpolate(F.expl.values,u_coarse.expl.V)
return u_coarse
def prolong_space(self,G):
"""
Prolongation implementation
Args:
G: the coarse level data (easier to access than via the coarse attribute)
"""
if isinstance(G,fenics_mesh):
u_fine = fenics_mesh(self.init_f)
u_fine.values = df.interpolate(G.values,u_fine.V)
elif isinstance(G,rhs_fenics_mesh):
u_fine = rhs_fenics_mesh(self.init_f)
u_fine.impl.values = df.interpolate(G.impl.values,u_fine.impl.V)
u_fine.expl.values = df.interpolate(G.expl.values,u_fine.expl.V)
return u_fine
|
bsd-2-clause
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adamkh/micropython
|
tests/wipy/time.py
|
67
|
2937
|
import time
DAYS_PER_MONTH = [0, 31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]
def is_leap(year):
return (year % 4) == 0
def test():
seconds = 0
wday = 5 # Jan 1, 2000 was a Saturday
for year in range(2000, 2049):
print("Testing %d" % year)
yday = 1
for month in range(1, 13):
if month == 2 and is_leap(year):
DAYS_PER_MONTH[2] = 29
else:
DAYS_PER_MONTH[2] = 28
for day in range(1, DAYS_PER_MONTH[month] + 1):
secs = time.mktime((year, month, day, 0, 0, 0, 0, 0))
if secs != seconds:
print("mktime failed for %d-%02d-%02d got %d expected %d" % (year, month, day, secs, seconds))
tuple = time.localtime(seconds)
secs = time.mktime(tuple)
if secs != seconds:
print("localtime failed for %d-%02d-%02d got %d expected %d" % (year, month, day, secs, seconds))
return
seconds += 86400
if yday != tuple[7]:
print("locatime for %d-%02d-%02d got yday %d, expecting %d" % (year, month, day, tuple[7], yday))
return
if wday != tuple[6]:
print("locatime for %d-%02d-%02d got wday %d, expecting %d" % (year, month, day, tuple[6], wday))
return
yday += 1
wday = (wday + 1) % 7
def spot_test(seconds, expected_time):
actual_time = time.localtime(seconds)
for i in range(len(actual_time)):
if actual_time[i] != expected_time[i]:
print("time.localtime(", seconds, ") returned", actual_time, "expecting", expected_time)
return
print("time.localtime(", seconds, ") returned", actual_time, "(pass)")
test()
spot_test( 0, (2000, 1, 1, 0, 0, 0, 5, 1))
spot_test( 1, (2000, 1, 1, 0, 0, 1, 5, 1))
spot_test( 59, (2000, 1, 1, 0, 0, 59, 5, 1))
spot_test( 60, (2000, 1, 1, 0, 1, 0, 5, 1))
spot_test( 3599, (2000, 1, 1, 0, 59, 59, 5, 1))
spot_test( 3600, (2000, 1, 1, 1, 0, 0, 5, 1))
spot_test( -1, (1999, 12, 31, 23, 59, 59, 4, 365))
spot_test( 447549467, (2014, 3, 7, 23, 17, 47, 4, 66))
spot_test( -940984933, (1970, 3, 7, 23, 17, 47, 5, 66))
spot_test(-1072915199, (1966, 1, 1, 0, 0, 1, 5, 1))
spot_test(-1072915200, (1966, 1, 1, 0, 0, 0, 5, 1))
spot_test(-1072915201, (1965, 12, 31, 23, 59, 59, 4, 365))
t1 = time.time()
time.sleep(2)
t2 = time.time()
print(abs(time.ticks_diff(t1, t2) -2) <= 1)
t1 = time.ticks_ms()
time.sleep_ms(50)
t2 = time.ticks_ms()
print(abs(time.ticks_diff(t1, t2)- 50) <= 1)
t1 = time.ticks_us()
time.sleep_us(1000)
t2 = time.ticks_us()
print(time.ticks_diff(t1, t2) < 1500)
print(time.ticks_diff(time.ticks_cpu(), time.ticks_cpu()) < 16384)
|
mit
|
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txomon/pytest
|
testing/python/collect.py
|
1
|
53514
|
# -*- coding: utf-8 -*-
import os
import sys
import textwrap
import _pytest._code
import pytest
from _pytest.main import EXIT_NOTESTSCOLLECTED
from _pytest.nodes import Collector
from _pytest.warnings import SHOW_PYTEST_WARNINGS_ARG
class TestModule(object):
def test_failing_import(self, testdir):
modcol = testdir.getmodulecol("import alksdjalskdjalkjals")
pytest.raises(Collector.CollectError, modcol.collect)
def test_import_duplicate(self, testdir):
a = testdir.mkdir("a")
b = testdir.mkdir("b")
p = a.ensure("test_whatever.py")
p.pyimport()
del sys.modules["test_whatever"]
b.ensure("test_whatever.py")
result = testdir.runpytest()
result.stdout.fnmatch_lines(
[
"*import*mismatch*",
"*imported*test_whatever*",
"*%s*" % a.join("test_whatever.py"),
"*not the same*",
"*%s*" % b.join("test_whatever.py"),
"*HINT*",
]
)
def test_import_prepend_append(self, testdir, monkeypatch):
syspath = list(sys.path)
monkeypatch.setattr(sys, "path", syspath)
root1 = testdir.mkdir("root1")
root2 = testdir.mkdir("root2")
root1.ensure("x456.py")
root2.ensure("x456.py")
p = root2.join("test_x456.py")
monkeypatch.syspath_prepend(str(root1))
p.write(
textwrap.dedent(
"""\
import x456
def test():
assert x456.__file__.startswith({!r})
""".format(
str(root2)
)
)
)
with root2.as_cwd():
reprec = testdir.inline_run("--import-mode=append")
reprec.assertoutcome(passed=0, failed=1)
reprec = testdir.inline_run()
reprec.assertoutcome(passed=1)
def test_syntax_error_in_module(self, testdir):
modcol = testdir.getmodulecol("this is a syntax error")
pytest.raises(modcol.CollectError, modcol.collect)
pytest.raises(modcol.CollectError, modcol.collect)
def test_module_considers_pluginmanager_at_import(self, testdir):
modcol = testdir.getmodulecol("pytest_plugins='xasdlkj',")
pytest.raises(ImportError, lambda: modcol.obj)
def test_invalid_test_module_name(self, testdir):
a = testdir.mkdir("a")
a.ensure("test_one.part1.py")
result = testdir.runpytest("-rw")
result.stdout.fnmatch_lines(
[
"ImportError while importing test module*test_one.part1*",
"Hint: make sure your test modules/packages have valid Python names.",
]
)
@pytest.mark.parametrize("verbose", [0, 1, 2])
def test_show_traceback_import_error(self, testdir, verbose):
"""Import errors when collecting modules should display the traceback (#1976).
With low verbosity we omit pytest and internal modules, otherwise show all traceback entries.
"""
testdir.makepyfile(
foo_traceback_import_error="""
from bar_traceback_import_error import NOT_AVAILABLE
""",
bar_traceback_import_error="",
)
testdir.makepyfile(
"""
import foo_traceback_import_error
"""
)
args = ("-v",) * verbose
result = testdir.runpytest(*args)
result.stdout.fnmatch_lines(
[
"ImportError while importing test module*",
"Traceback:",
"*from bar_traceback_import_error import NOT_AVAILABLE",
"*cannot import name *NOT_AVAILABLE*",
]
)
assert result.ret == 2
stdout = result.stdout.str()
for name in ("_pytest", os.path.join("py", "_path")):
if verbose == 2:
assert name in stdout
else:
assert name not in stdout
def test_show_traceback_import_error_unicode(self, testdir):
"""Check test modules collected which raise ImportError with unicode messages
are handled properly (#2336).
"""
testdir.makepyfile(
u"""
# -*- coding: utf-8 -*-
raise ImportError(u'Something bad happened ☺')
"""
)
result = testdir.runpytest()
result.stdout.fnmatch_lines(
[
"ImportError while importing test module*",
"Traceback:",
"*raise ImportError*Something bad happened*",
]
)
assert result.ret == 2
class TestClass(object):
def test_class_with_init_warning(self, testdir):
testdir.makepyfile(
"""
class TestClass1(object):
def __init__(self):
pass
"""
)
result = testdir.runpytest("-rw")
result.stdout.fnmatch_lines(
[
"*cannot collect test class 'TestClass1' because it has a __init__ constructor"
]
)
def test_class_subclassobject(self, testdir):
testdir.getmodulecol(
"""
class test(object):
pass
"""
)
result = testdir.runpytest()
result.stdout.fnmatch_lines(["*collected 0*"])
def test_static_method(self, testdir):
"""Support for collecting staticmethod tests (#2528, #2699)"""
testdir.getmodulecol(
"""
import pytest
class Test(object):
@staticmethod
def test_something():
pass
@pytest.fixture
def fix(self):
return 1
@staticmethod
def test_fix(fix):
assert fix == 1
"""
)
result = testdir.runpytest()
result.stdout.fnmatch_lines(["*collected 2 items*", "*2 passed in*"])
def test_setup_teardown_class_as_classmethod(self, testdir):
testdir.makepyfile(
test_mod1="""
class TestClassMethod(object):
@classmethod
def setup_class(cls):
pass
def test_1(self):
pass
@classmethod
def teardown_class(cls):
pass
"""
)
result = testdir.runpytest()
result.stdout.fnmatch_lines(["*1 passed*"])
def test_issue1035_obj_has_getattr(self, testdir):
modcol = testdir.getmodulecol(
"""
class Chameleon(object):
def __getattr__(self, name):
return True
chameleon = Chameleon()
"""
)
colitems = modcol.collect()
assert len(colitems) == 0
def test_issue1579_namedtuple(self, testdir):
testdir.makepyfile(
"""
import collections
TestCase = collections.namedtuple('TestCase', ['a'])
"""
)
result = testdir.runpytest("-rw")
result.stdout.fnmatch_lines(
"*cannot collect test class 'TestCase' "
"because it has a __new__ constructor*"
)
def test_issue2234_property(self, testdir):
testdir.makepyfile(
"""
class TestCase(object):
@property
def prop(self):
raise NotImplementedError()
"""
)
result = testdir.runpytest()
assert result.ret == EXIT_NOTESTSCOLLECTED
@pytest.mark.filterwarnings(
"ignore:usage of Generator.Function is deprecated, please use pytest.Function instead"
)
class TestGenerator(object):
def test_generative_functions(self, testdir):
modcol = testdir.getmodulecol(
"""
def func1(arg, arg2):
assert arg == arg2
def test_gen():
yield func1, 17, 3*5
yield func1, 42, 6*7
"""
)
colitems = modcol.collect()
assert len(colitems) == 1
gencol = colitems[0]
assert isinstance(gencol, pytest.Generator)
gencolitems = gencol.collect()
assert len(gencolitems) == 2
assert isinstance(gencolitems[0], pytest.Function)
assert isinstance(gencolitems[1], pytest.Function)
assert gencolitems[0].name == "[0]"
assert gencolitems[0].obj.__name__ == "func1"
def test_generative_methods(self, testdir):
modcol = testdir.getmodulecol(
"""
def func1(arg, arg2):
assert arg == arg2
class TestGenMethods(object):
def test_gen(self):
yield func1, 17, 3*5
yield func1, 42, 6*7
"""
)
gencol = modcol.collect()[0].collect()[0].collect()[0]
assert isinstance(gencol, pytest.Generator)
gencolitems = gencol.collect()
assert len(gencolitems) == 2
assert isinstance(gencolitems[0], pytest.Function)
assert isinstance(gencolitems[1], pytest.Function)
assert gencolitems[0].name == "[0]"
assert gencolitems[0].obj.__name__ == "func1"
def test_generative_functions_with_explicit_names(self, testdir):
modcol = testdir.getmodulecol(
"""
def func1(arg, arg2):
assert arg == arg2
def test_gen():
yield "seventeen", func1, 17, 3*5
yield "fortytwo", func1, 42, 6*7
"""
)
colitems = modcol.collect()
assert len(colitems) == 1
gencol = colitems[0]
assert isinstance(gencol, pytest.Generator)
gencolitems = gencol.collect()
assert len(gencolitems) == 2
assert isinstance(gencolitems[0], pytest.Function)
assert isinstance(gencolitems[1], pytest.Function)
assert gencolitems[0].name == "['seventeen']"
assert gencolitems[0].obj.__name__ == "func1"
assert gencolitems[1].name == "['fortytwo']"
assert gencolitems[1].obj.__name__ == "func1"
def test_generative_functions_unique_explicit_names(self, testdir):
# generative
modcol = testdir.getmodulecol(
"""
def func(): pass
def test_gen():
yield "name", func
yield "name", func
"""
)
colitems = modcol.collect()
assert len(colitems) == 1
gencol = colitems[0]
assert isinstance(gencol, pytest.Generator)
pytest.raises(ValueError, "gencol.collect()")
def test_generative_methods_with_explicit_names(self, testdir):
modcol = testdir.getmodulecol(
"""
def func1(arg, arg2):
assert arg == arg2
class TestGenMethods(object):
def test_gen(self):
yield "m1", func1, 17, 3*5
yield "m2", func1, 42, 6*7
"""
)
gencol = modcol.collect()[0].collect()[0].collect()[0]
assert isinstance(gencol, pytest.Generator)
gencolitems = gencol.collect()
assert len(gencolitems) == 2
assert isinstance(gencolitems[0], pytest.Function)
assert isinstance(gencolitems[1], pytest.Function)
assert gencolitems[0].name == "['m1']"
assert gencolitems[0].obj.__name__ == "func1"
assert gencolitems[1].name == "['m2']"
assert gencolitems[1].obj.__name__ == "func1"
def test_order_of_execution_generator_same_codeline(self, testdir, tmpdir):
o = testdir.makepyfile(
"""
from __future__ import print_function
def test_generative_order_of_execution():
import py, pytest
test_list = []
expected_list = list(range(6))
def list_append(item):
test_list.append(item)
def assert_order_of_execution():
print('expected order', expected_list)
print('but got ', test_list)
assert test_list == expected_list
for i in expected_list:
yield list_append, i
yield assert_order_of_execution
"""
)
reprec = testdir.inline_run(o, SHOW_PYTEST_WARNINGS_ARG)
passed, skipped, failed = reprec.countoutcomes()
assert passed == 7
assert not skipped and not failed
def test_order_of_execution_generator_different_codeline(self, testdir):
o = testdir.makepyfile(
"""
from __future__ import print_function
def test_generative_tests_different_codeline():
import py, pytest
test_list = []
expected_list = list(range(3))
def list_append_2():
test_list.append(2)
def list_append_1():
test_list.append(1)
def list_append_0():
test_list.append(0)
def assert_order_of_execution():
print('expected order', expected_list)
print('but got ', test_list)
assert test_list == expected_list
yield list_append_0
yield list_append_1
yield list_append_2
yield assert_order_of_execution
"""
)
reprec = testdir.inline_run(o, SHOW_PYTEST_WARNINGS_ARG)
passed, skipped, failed = reprec.countoutcomes()
assert passed == 4
assert not skipped and not failed
def test_setupstate_is_preserved_134(self, testdir):
# yield-based tests are messy wrt to setupstate because
# during collection they already invoke setup functions
# and then again when they are run. For now, we want to make sure
# that the old 1.3.4 behaviour is preserved such that all
# yielded functions all share the same "self" instance that
# has been used during collection.
o = testdir.makepyfile(
"""
setuplist = []
class TestClass(object):
def setup_method(self, func):
#print "setup_method", self, func
setuplist.append(self)
self.init = 42
def teardown_method(self, func):
self.init = None
def test_func1(self):
pass
def test_func2(self):
yield self.func2
yield self.func2
def func2(self):
assert self.init
def test_setuplist():
# once for test_func2 during collection
# once for test_func1 during test run
# once for test_func2 during test run
#print setuplist
assert len(setuplist) == 3, len(setuplist)
assert setuplist[0] == setuplist[2], setuplist
assert setuplist[1] != setuplist[2], setuplist
"""
)
reprec = testdir.inline_run(o, "-v", SHOW_PYTEST_WARNINGS_ARG)
passed, skipped, failed = reprec.countoutcomes()
assert passed == 4
assert not skipped and not failed
class TestFunction(object):
@pytest.fixture
def ignore_parametrized_marks_args(self):
"""Provides arguments to pytester.runpytest() to ignore the warning about marks being applied directly
to parameters.
"""
return ("-W", "ignore:Applying marks directly to parameters")
def test_getmodulecollector(self, testdir):
item = testdir.getitem("def test_func(): pass")
modcol = item.getparent(pytest.Module)
assert isinstance(modcol, pytest.Module)
assert hasattr(modcol.obj, "test_func")
@pytest.mark.filterwarnings("default")
def test_function_as_object_instance_ignored(self, testdir):
testdir.makepyfile(
"""
class A(object):
def __call__(self, tmpdir):
0/0
test_a = A()
"""
)
result = testdir.runpytest()
result.stdout.fnmatch_lines(
[
"collected 0 items",
"*test_function_as_object_instance_ignored.py:2: "
"*cannot collect 'test_a' because it is not a function.",
]
)
def test_function_equality(self, testdir, tmpdir):
from _pytest.fixtures import FixtureManager
config = testdir.parseconfigure()
session = testdir.Session(config)
session._fixturemanager = FixtureManager(session)
def func1():
pass
def func2():
pass
f1 = pytest.Function(
name="name", parent=session, config=config, args=(1,), callobj=func1
)
assert f1 == f1
f2 = pytest.Function(name="name", config=config, callobj=func2, parent=session)
assert f1 != f2
def test_issue197_parametrize_emptyset(self, testdir):
testdir.makepyfile(
"""
import pytest
@pytest.mark.parametrize('arg', [])
def test_function(arg):
pass
"""
)
reprec = testdir.inline_run()
reprec.assertoutcome(skipped=1)
def test_single_tuple_unwraps_values(self, testdir):
testdir.makepyfile(
"""
import pytest
@pytest.mark.parametrize(('arg',), [(1,)])
def test_function(arg):
assert arg == 1
"""
)
reprec = testdir.inline_run()
reprec.assertoutcome(passed=1)
def test_issue213_parametrize_value_no_equal(self, testdir):
testdir.makepyfile(
"""
import pytest
class A(object):
def __eq__(self, other):
raise ValueError("not possible")
@pytest.mark.parametrize('arg', [A()])
def test_function(arg):
assert arg.__class__.__name__ == "A"
"""
)
reprec = testdir.inline_run("--fulltrace")
reprec.assertoutcome(passed=1)
def test_parametrize_with_non_hashable_values(self, testdir):
"""Test parametrization with non-hashable values."""
testdir.makepyfile(
"""
archival_mapping = {
'1.0': {'tag': '1.0'},
'1.2.2a1': {'tag': 'release-1.2.2a1'},
}
import pytest
@pytest.mark.parametrize('key value'.split(),
archival_mapping.items())
def test_archival_to_version(key, value):
assert key in archival_mapping
assert value == archival_mapping[key]
"""
)
rec = testdir.inline_run()
rec.assertoutcome(passed=2)
def test_parametrize_with_non_hashable_values_indirect(self, testdir):
"""Test parametrization with non-hashable values with indirect parametrization."""
testdir.makepyfile(
"""
archival_mapping = {
'1.0': {'tag': '1.0'},
'1.2.2a1': {'tag': 'release-1.2.2a1'},
}
import pytest
@pytest.fixture
def key(request):
return request.param
@pytest.fixture
def value(request):
return request.param
@pytest.mark.parametrize('key value'.split(),
archival_mapping.items(), indirect=True)
def test_archival_to_version(key, value):
assert key in archival_mapping
assert value == archival_mapping[key]
"""
)
rec = testdir.inline_run()
rec.assertoutcome(passed=2)
def test_parametrize_overrides_fixture(self, testdir):
"""Test parametrization when parameter overrides existing fixture with same name."""
testdir.makepyfile(
"""
import pytest
@pytest.fixture
def value():
return 'value'
@pytest.mark.parametrize('value',
['overridden'])
def test_overridden_via_param(value):
assert value == 'overridden'
@pytest.mark.parametrize('somevalue', ['overridden'])
def test_not_overridden(value, somevalue):
assert value == 'value'
assert somevalue == 'overridden'
@pytest.mark.parametrize('other,value', [('foo', 'overridden')])
def test_overridden_via_multiparam(other, value):
assert other == 'foo'
assert value == 'overridden'
"""
)
rec = testdir.inline_run()
rec.assertoutcome(passed=3)
def test_parametrize_overrides_parametrized_fixture(self, testdir):
"""Test parametrization when parameter overrides existing parametrized fixture with same name."""
testdir.makepyfile(
"""
import pytest
@pytest.fixture(params=[1, 2])
def value(request):
return request.param
@pytest.mark.parametrize('value',
['overridden'])
def test_overridden_via_param(value):
assert value == 'overridden'
"""
)
rec = testdir.inline_run()
rec.assertoutcome(passed=1)
def test_parametrize_overrides_indirect_dependency_fixture(self, testdir):
"""Test parametrization when parameter overrides a fixture that a test indirectly depends on"""
testdir.makepyfile(
"""
import pytest
fix3_instantiated = False
@pytest.fixture
def fix1(fix2):
return fix2 + '1'
@pytest.fixture
def fix2(fix3):
return fix3 + '2'
@pytest.fixture
def fix3():
global fix3_instantiated
fix3_instantiated = True
return '3'
@pytest.mark.parametrize('fix2', ['2'])
def test_it(fix1):
assert fix1 == '21'
assert not fix3_instantiated
"""
)
rec = testdir.inline_run()
rec.assertoutcome(passed=1)
@pytest.mark.filterwarnings("ignore:Applying marks directly to parameters")
def test_parametrize_with_mark(self, testdir):
items = testdir.getitems(
"""
import pytest
@pytest.mark.foo
@pytest.mark.parametrize('arg', [
1,
pytest.mark.bar(pytest.mark.baz(2))
])
def test_function(arg):
pass
"""
)
keywords = [item.keywords for item in items]
assert (
"foo" in keywords[0]
and "bar" not in keywords[0]
and "baz" not in keywords[0]
)
assert "foo" in keywords[1] and "bar" in keywords[1] and "baz" in keywords[1]
def test_function_equality_with_callspec(self, testdir, tmpdir):
items = testdir.getitems(
"""
import pytest
@pytest.mark.parametrize('arg', [1,2])
def test_function(arg):
pass
"""
)
assert items[0] != items[1]
assert not (items[0] == items[1])
def test_pyfunc_call(self, testdir):
item = testdir.getitem("def test_func(): raise ValueError")
config = item.config
class MyPlugin1(object):
def pytest_pyfunc_call(self, pyfuncitem):
raise ValueError
class MyPlugin2(object):
def pytest_pyfunc_call(self, pyfuncitem):
return True
config.pluginmanager.register(MyPlugin1())
config.pluginmanager.register(MyPlugin2())
config.hook.pytest_runtest_setup(item=item)
config.hook.pytest_pyfunc_call(pyfuncitem=item)
def test_multiple_parametrize(self, testdir):
modcol = testdir.getmodulecol(
"""
import pytest
@pytest.mark.parametrize('x', [0, 1])
@pytest.mark.parametrize('y', [2, 3])
def test1(x, y):
pass
"""
)
colitems = modcol.collect()
assert colitems[0].name == "test1[2-0]"
assert colitems[1].name == "test1[2-1]"
assert colitems[2].name == "test1[3-0]"
assert colitems[3].name == "test1[3-1]"
def test_issue751_multiple_parametrize_with_ids(self, testdir):
modcol = testdir.getmodulecol(
"""
import pytest
@pytest.mark.parametrize('x', [0], ids=['c'])
@pytest.mark.parametrize('y', [0, 1], ids=['a', 'b'])
class Test(object):
def test1(self, x, y):
pass
def test2(self, x, y):
pass
"""
)
colitems = modcol.collect()[0].collect()[0].collect()
assert colitems[0].name == "test1[a-c]"
assert colitems[1].name == "test1[b-c]"
assert colitems[2].name == "test2[a-c]"
assert colitems[3].name == "test2[b-c]"
def test_parametrize_skipif(self, testdir, ignore_parametrized_marks_args):
testdir.makepyfile(
"""
import pytest
m = pytest.mark.skipif('True')
@pytest.mark.parametrize('x', [0, 1, m(2)])
def test_skip_if(x):
assert x < 2
"""
)
result = testdir.runpytest(*ignore_parametrized_marks_args)
result.stdout.fnmatch_lines("* 2 passed, 1 skipped in *")
def test_parametrize_skip(self, testdir, ignore_parametrized_marks_args):
testdir.makepyfile(
"""
import pytest
m = pytest.mark.skip('')
@pytest.mark.parametrize('x', [0, 1, m(2)])
def test_skip(x):
assert x < 2
"""
)
result = testdir.runpytest(*ignore_parametrized_marks_args)
result.stdout.fnmatch_lines("* 2 passed, 1 skipped in *")
def test_parametrize_skipif_no_skip(self, testdir, ignore_parametrized_marks_args):
testdir.makepyfile(
"""
import pytest
m = pytest.mark.skipif('False')
@pytest.mark.parametrize('x', [0, 1, m(2)])
def test_skipif_no_skip(x):
assert x < 2
"""
)
result = testdir.runpytest(*ignore_parametrized_marks_args)
result.stdout.fnmatch_lines("* 1 failed, 2 passed in *")
def test_parametrize_xfail(self, testdir, ignore_parametrized_marks_args):
testdir.makepyfile(
"""
import pytest
m = pytest.mark.xfail('True')
@pytest.mark.parametrize('x', [0, 1, m(2)])
def test_xfail(x):
assert x < 2
"""
)
result = testdir.runpytest(*ignore_parametrized_marks_args)
result.stdout.fnmatch_lines("* 2 passed, 1 xfailed in *")
def test_parametrize_passed(self, testdir, ignore_parametrized_marks_args):
testdir.makepyfile(
"""
import pytest
m = pytest.mark.xfail('True')
@pytest.mark.parametrize('x', [0, 1, m(2)])
def test_xfail(x):
pass
"""
)
result = testdir.runpytest(*ignore_parametrized_marks_args)
result.stdout.fnmatch_lines("* 2 passed, 1 xpassed in *")
def test_parametrize_xfail_passed(self, testdir, ignore_parametrized_marks_args):
testdir.makepyfile(
"""
import pytest
m = pytest.mark.xfail('False')
@pytest.mark.parametrize('x', [0, 1, m(2)])
def test_passed(x):
pass
"""
)
result = testdir.runpytest(*ignore_parametrized_marks_args)
result.stdout.fnmatch_lines("* 3 passed in *")
def test_function_original_name(self, testdir):
items = testdir.getitems(
"""
import pytest
@pytest.mark.parametrize('arg', [1,2])
def test_func(arg):
pass
"""
)
assert [x.originalname for x in items] == ["test_func", "test_func"]
class TestSorting(object):
def test_check_equality(self, testdir):
modcol = testdir.getmodulecol(
"""
def test_pass(): pass
def test_fail(): assert 0
"""
)
fn1 = testdir.collect_by_name(modcol, "test_pass")
assert isinstance(fn1, pytest.Function)
fn2 = testdir.collect_by_name(modcol, "test_pass")
assert isinstance(fn2, pytest.Function)
assert fn1 == fn2
assert fn1 != modcol
if sys.version_info < (3, 0):
assert cmp(fn1, fn2) == 0 # NOQA
assert hash(fn1) == hash(fn2)
fn3 = testdir.collect_by_name(modcol, "test_fail")
assert isinstance(fn3, pytest.Function)
assert not (fn1 == fn3)
assert fn1 != fn3
for fn in fn1, fn2, fn3:
assert fn != 3
assert fn != modcol
assert fn != [1, 2, 3]
assert [1, 2, 3] != fn
assert modcol != fn
def test_allow_sane_sorting_for_decorators(self, testdir):
modcol = testdir.getmodulecol(
"""
def dec(f):
g = lambda: f(2)
g.place_as = f
return g
def test_b(y):
pass
test_b = dec(test_b)
def test_a(y):
pass
test_a = dec(test_a)
"""
)
colitems = modcol.collect()
assert len(colitems) == 2
assert [item.name for item in colitems] == ["test_b", "test_a"]
class TestConftestCustomization(object):
def test_pytest_pycollect_module(self, testdir):
testdir.makeconftest(
"""
import pytest
class MyModule(pytest.Module):
pass
def pytest_pycollect_makemodule(path, parent):
if path.basename == "test_xyz.py":
return MyModule(path, parent)
"""
)
testdir.makepyfile("def test_some(): pass")
testdir.makepyfile(test_xyz="def test_func(): pass")
result = testdir.runpytest("--collect-only")
result.stdout.fnmatch_lines(["*<Module*test_pytest*", "*<MyModule*xyz*"])
def test_customized_pymakemodule_issue205_subdir(self, testdir):
b = testdir.mkdir("a").mkdir("b")
b.join("conftest.py").write(
textwrap.dedent(
"""\
import pytest
@pytest.hookimpl(hookwrapper=True)
def pytest_pycollect_makemodule():
outcome = yield
mod = outcome.get_result()
mod.obj.hello = "world"
"""
)
)
b.join("test_module.py").write(
textwrap.dedent(
"""\
def test_hello():
assert hello == "world"
"""
)
)
reprec = testdir.inline_run()
reprec.assertoutcome(passed=1)
def test_customized_pymakeitem(self, testdir):
b = testdir.mkdir("a").mkdir("b")
b.join("conftest.py").write(
textwrap.dedent(
"""\
import pytest
@pytest.hookimpl(hookwrapper=True)
def pytest_pycollect_makeitem():
outcome = yield
if outcome.excinfo is None:
result = outcome.get_result()
if result:
for func in result:
func._some123 = "world"
"""
)
)
b.join("test_module.py").write(
textwrap.dedent(
"""\
import pytest
@pytest.fixture()
def obj(request):
return request.node._some123
def test_hello(obj):
assert obj == "world"
"""
)
)
reprec = testdir.inline_run()
reprec.assertoutcome(passed=1)
def test_pytest_pycollect_makeitem(self, testdir):
testdir.makeconftest(
"""
import pytest
class MyFunction(pytest.Function):
pass
def pytest_pycollect_makeitem(collector, name, obj):
if name == "some":
return MyFunction(name, collector)
"""
)
testdir.makepyfile("def some(): pass")
result = testdir.runpytest("--collect-only")
result.stdout.fnmatch_lines(["*MyFunction*some*"])
def test_makeitem_non_underscore(self, testdir, monkeypatch):
modcol = testdir.getmodulecol("def _hello(): pass")
values = []
monkeypatch.setattr(
pytest.Module, "makeitem", lambda self, name, obj: values.append(name)
)
values = modcol.collect()
assert "_hello" not in values
def test_issue2369_collect_module_fileext(self, testdir):
"""Ensure we can collect files with weird file extensions as Python
modules (#2369)"""
# We'll implement a little finder and loader to import files containing
# Python source code whose file extension is ".narf".
testdir.makeconftest(
"""
import sys, os, imp
from _pytest.python import Module
class Loader(object):
def load_module(self, name):
return imp.load_source(name, name + ".narf")
class Finder(object):
def find_module(self, name, path=None):
if os.path.exists(name + ".narf"):
return Loader()
sys.meta_path.append(Finder())
def pytest_collect_file(path, parent):
if path.ext == ".narf":
return Module(path, parent)"""
)
testdir.makefile(
".narf",
"""\
def test_something():
assert 1 + 1 == 2""",
)
# Use runpytest_subprocess, since we're futzing with sys.meta_path.
result = testdir.runpytest_subprocess()
result.stdout.fnmatch_lines("*1 passed*")
def test_setup_only_available_in_subdir(testdir):
sub1 = testdir.mkpydir("sub1")
sub2 = testdir.mkpydir("sub2")
sub1.join("conftest.py").write(
textwrap.dedent(
"""\
import pytest
def pytest_runtest_setup(item):
assert item.fspath.purebasename == "test_in_sub1"
def pytest_runtest_call(item):
assert item.fspath.purebasename == "test_in_sub1"
def pytest_runtest_teardown(item):
assert item.fspath.purebasename == "test_in_sub1"
"""
)
)
sub2.join("conftest.py").write(
textwrap.dedent(
"""\
import pytest
def pytest_runtest_setup(item):
assert item.fspath.purebasename == "test_in_sub2"
def pytest_runtest_call(item):
assert item.fspath.purebasename == "test_in_sub2"
def pytest_runtest_teardown(item):
assert item.fspath.purebasename == "test_in_sub2"
"""
)
)
sub1.join("test_in_sub1.py").write("def test_1(): pass")
sub2.join("test_in_sub2.py").write("def test_2(): pass")
result = testdir.runpytest("-v", "-s")
result.assert_outcomes(passed=2)
def test_modulecol_roundtrip(testdir):
modcol = testdir.getmodulecol("pass", withinit=False)
trail = modcol.nodeid
newcol = modcol.session.perform_collect([trail], genitems=0)[0]
assert modcol.name == newcol.name
class TestTracebackCutting(object):
def test_skip_simple(self):
excinfo = pytest.raises(pytest.skip.Exception, 'pytest.skip("xxx")')
assert excinfo.traceback[-1].frame.code.name == "skip"
assert excinfo.traceback[-1].ishidden()
def test_traceback_argsetup(self, testdir):
testdir.makeconftest(
"""
import pytest
@pytest.fixture
def hello(request):
raise ValueError("xyz")
"""
)
p = testdir.makepyfile("def test(hello): pass")
result = testdir.runpytest(p)
assert result.ret != 0
out = result.stdout.str()
assert "xyz" in out
assert "conftest.py:5: ValueError" in out
numentries = out.count("_ _ _") # separator for traceback entries
assert numentries == 0
result = testdir.runpytest("--fulltrace", p)
out = result.stdout.str()
assert "conftest.py:5: ValueError" in out
numentries = out.count("_ _ _ _") # separator for traceback entries
assert numentries > 3
def test_traceback_error_during_import(self, testdir):
testdir.makepyfile(
"""
x = 1
x = 2
x = 17
asd
"""
)
result = testdir.runpytest()
assert result.ret != 0
out = result.stdout.str()
assert "x = 1" not in out
assert "x = 2" not in out
result.stdout.fnmatch_lines([" *asd*", "E*NameError*"])
result = testdir.runpytest("--fulltrace")
out = result.stdout.str()
assert "x = 1" in out
assert "x = 2" in out
result.stdout.fnmatch_lines([">*asd*", "E*NameError*"])
def test_traceback_filter_error_during_fixture_collection(self, testdir):
"""integration test for issue #995.
"""
testdir.makepyfile(
"""
import pytest
def fail_me(func):
ns = {}
exec('def w(): raise ValueError("fail me")', ns)
return ns['w']
@pytest.fixture(scope='class')
@fail_me
def fail_fixture():
pass
def test_failing_fixture(fail_fixture):
pass
"""
)
result = testdir.runpytest()
assert result.ret != 0
out = result.stdout.str()
assert "INTERNALERROR>" not in out
result.stdout.fnmatch_lines(["*ValueError: fail me*", "* 1 error in *"])
def test_filter_traceback_generated_code(self):
"""test that filter_traceback() works with the fact that
py.code.Code.path attribute might return an str object.
In this case, one of the entries on the traceback was produced by
dynamically generated code.
See: https://bitbucket.org/pytest-dev/py/issues/71
This fixes #995.
"""
from _pytest.python import filter_traceback
try:
ns = {}
exec("def foo(): raise ValueError", ns)
ns["foo"]()
except ValueError:
_, _, tb = sys.exc_info()
tb = _pytest._code.Traceback(tb)
assert isinstance(tb[-1].path, str)
assert not filter_traceback(tb[-1])
def test_filter_traceback_path_no_longer_valid(self, testdir):
"""test that filter_traceback() works with the fact that
py.code.Code.path attribute might return an str object.
In this case, one of the files in the traceback no longer exists.
This fixes #1133.
"""
from _pytest.python import filter_traceback
testdir.syspathinsert()
testdir.makepyfile(
filter_traceback_entry_as_str="""
def foo():
raise ValueError
"""
)
try:
import filter_traceback_entry_as_str
filter_traceback_entry_as_str.foo()
except ValueError:
_, _, tb = sys.exc_info()
testdir.tmpdir.join("filter_traceback_entry_as_str.py").remove()
tb = _pytest._code.Traceback(tb)
assert isinstance(tb[-1].path, str)
assert filter_traceback(tb[-1])
class TestReportInfo(object):
def test_itemreport_reportinfo(self, testdir, linecomp):
testdir.makeconftest(
"""
import pytest
class MyFunction(pytest.Function):
def reportinfo(self):
return "ABCDE", 42, "custom"
def pytest_pycollect_makeitem(collector, name, obj):
if name == "test_func":
return MyFunction(name, parent=collector)
"""
)
item = testdir.getitem("def test_func(): pass")
item.config.pluginmanager.getplugin("runner")
assert item.location == ("ABCDE", 42, "custom")
def test_func_reportinfo(self, testdir):
item = testdir.getitem("def test_func(): pass")
fspath, lineno, modpath = item.reportinfo()
assert fspath == item.fspath
assert lineno == 0
assert modpath == "test_func"
def test_class_reportinfo(self, testdir):
modcol = testdir.getmodulecol(
"""
# lineno 0
class TestClass(object):
def test_hello(self): pass
"""
)
classcol = testdir.collect_by_name(modcol, "TestClass")
fspath, lineno, msg = classcol.reportinfo()
assert fspath == modcol.fspath
assert lineno == 1
assert msg == "TestClass"
@pytest.mark.filterwarnings(
"ignore:usage of Generator.Function is deprecated, please use pytest.Function instead"
)
def test_generator_reportinfo(self, testdir):
modcol = testdir.getmodulecol(
"""
# lineno 0
def test_gen():
def check(x):
assert x
yield check, 3
"""
)
gencol = testdir.collect_by_name(modcol, "test_gen")
fspath, lineno, modpath = gencol.reportinfo()
assert fspath == modcol.fspath
assert lineno == 1
assert modpath == "test_gen"
genitem = gencol.collect()[0]
fspath, lineno, modpath = genitem.reportinfo()
assert fspath == modcol.fspath
assert lineno == 2
assert modpath == "test_gen[0]"
"""
def test_func():
pass
def test_genfunc():
def check(x):
pass
yield check, 3
class TestClass(object):
def test_method(self):
pass
"""
def test_reportinfo_with_nasty_getattr(self, testdir):
# https://github.com/pytest-dev/pytest/issues/1204
modcol = testdir.getmodulecol(
"""
# lineno 0
class TestClass(object):
def __getattr__(self, name):
return "this is not an int"
def test_foo(self):
pass
"""
)
classcol = testdir.collect_by_name(modcol, "TestClass")
instance = classcol.collect()[0]
fspath, lineno, msg = instance.reportinfo()
def test_customized_python_discovery(testdir):
testdir.makeini(
"""
[pytest]
python_files=check_*.py
python_classes=Check
python_functions=check
"""
)
p = testdir.makepyfile(
"""
def check_simple():
pass
class CheckMyApp(object):
def check_meth(self):
pass
"""
)
p2 = p.new(basename=p.basename.replace("test", "check"))
p.move(p2)
result = testdir.runpytest("--collect-only", "-s")
result.stdout.fnmatch_lines(
["*check_customized*", "*check_simple*", "*CheckMyApp*", "*check_meth*"]
)
result = testdir.runpytest()
assert result.ret == 0
result.stdout.fnmatch_lines(["*2 passed*"])
def test_customized_python_discovery_functions(testdir):
testdir.makeini(
"""
[pytest]
python_functions=_test
"""
)
testdir.makepyfile(
"""
def _test_underscore():
pass
"""
)
result = testdir.runpytest("--collect-only", "-s")
result.stdout.fnmatch_lines(["*_test_underscore*"])
result = testdir.runpytest()
assert result.ret == 0
result.stdout.fnmatch_lines(["*1 passed*"])
def test_collector_attributes(testdir):
testdir.makeconftest(
"""
import pytest
def pytest_pycollect_makeitem(collector):
assert collector.Function == pytest.Function
assert collector.Class == pytest.Class
assert collector.Instance == pytest.Instance
assert collector.Module == pytest.Module
"""
)
testdir.makepyfile(
"""
def test_hello():
pass
"""
)
result = testdir.runpytest(SHOW_PYTEST_WARNINGS_ARG)
result.stdout.fnmatch_lines(["*1 passed*"])
def test_customize_through_attributes(testdir):
testdir.makeconftest(
"""
import pytest
class MyFunction(pytest.Function):
pass
class MyInstance(pytest.Instance):
Function = MyFunction
class MyClass(pytest.Class):
Instance = MyInstance
def pytest_pycollect_makeitem(collector, name, obj):
if name.startswith("MyTestClass"):
return MyClass(name, parent=collector)
"""
)
testdir.makepyfile(
"""
class MyTestClass(object):
def test_hello(self):
pass
"""
)
result = testdir.runpytest("--collect-only", SHOW_PYTEST_WARNINGS_ARG)
result.stdout.fnmatch_lines(["*MyClass*", "*MyFunction*test_hello*"])
def test_unorderable_types(testdir):
testdir.makepyfile(
"""
class TestJoinEmpty(object):
pass
def make_test():
class Test(object):
pass
Test.__name__ = "TestFoo"
return Test
TestFoo = make_test()
"""
)
result = testdir.runpytest()
assert "TypeError" not in result.stdout.str()
assert result.ret == EXIT_NOTESTSCOLLECTED
def test_collect_functools_partial(testdir):
"""
Test that collection of functools.partial object works, and arguments
to the wrapped functions are dealt correctly (see #811).
"""
testdir.makepyfile(
"""
import functools
import pytest
@pytest.fixture
def fix1():
return 'fix1'
@pytest.fixture
def fix2():
return 'fix2'
def check1(i, fix1):
assert i == 2
assert fix1 == 'fix1'
def check2(fix1, i):
assert i == 2
assert fix1 == 'fix1'
def check3(fix1, i, fix2):
assert i == 2
assert fix1 == 'fix1'
assert fix2 == 'fix2'
test_ok_1 = functools.partial(check1, i=2)
test_ok_2 = functools.partial(check1, i=2, fix1='fix1')
test_ok_3 = functools.partial(check1, 2)
test_ok_4 = functools.partial(check2, i=2)
test_ok_5 = functools.partial(check3, i=2)
test_ok_6 = functools.partial(check3, i=2, fix1='fix1')
test_fail_1 = functools.partial(check2, 2)
test_fail_2 = functools.partial(check3, 2)
"""
)
result = testdir.inline_run()
result.assertoutcome(passed=6, failed=2)
@pytest.mark.filterwarnings("default")
def test_dont_collect_non_function_callable(testdir):
"""Test for issue https://github.com/pytest-dev/pytest/issues/331
In this case an INTERNALERROR occurred trying to report the failure of
a test like this one because py test failed to get the source lines.
"""
testdir.makepyfile(
"""
class Oh(object):
def __call__(self):
pass
test_a = Oh()
def test_real():
pass
"""
)
result = testdir.runpytest("-rw")
result.stdout.fnmatch_lines(
[
"*collected 1 item*",
"*test_dont_collect_non_function_callable.py:2: *cannot collect 'test_a' because it is not a function*",
"*1 passed, 1 warnings in *",
]
)
def test_class_injection_does_not_break_collection(testdir):
"""Tests whether injection during collection time will terminate testing.
In this case the error should not occur if the TestClass itself
is modified during collection time, and the original method list
is still used for collection.
"""
testdir.makeconftest(
"""
from test_inject import TestClass
def pytest_generate_tests(metafunc):
TestClass.changed_var = {}
"""
)
testdir.makepyfile(
test_inject='''
class TestClass(object):
def test_injection(self):
"""Test being parametrized."""
pass
'''
)
result = testdir.runpytest()
assert (
"RuntimeError: dictionary changed size during iteration"
not in result.stdout.str()
)
result.stdout.fnmatch_lines(["*1 passed*"])
def test_syntax_error_with_non_ascii_chars(testdir):
"""Fix decoding issue while formatting SyntaxErrors during collection (#578)
"""
testdir.makepyfile(
u"""
# -*- coding: UTF-8 -*-
☃
"""
)
result = testdir.runpytest()
result.stdout.fnmatch_lines(["*ERROR collecting*", "*SyntaxError*", "*1 error in*"])
def test_skip_duplicates_by_default(testdir):
"""Test for issue https://github.com/pytest-dev/pytest/issues/1609 (#1609)
Ignore duplicate directories.
"""
a = testdir.mkdir("a")
fh = a.join("test_a.py")
fh.write(
textwrap.dedent(
"""\
import pytest
def test_real():
pass
"""
)
)
result = testdir.runpytest(a.strpath, a.strpath)
result.stdout.fnmatch_lines(["*collected 1 item*"])
def test_keep_duplicates(testdir):
"""Test for issue https://github.com/pytest-dev/pytest/issues/1609 (#1609)
Use --keep-duplicates to collect tests from duplicate directories.
"""
a = testdir.mkdir("a")
fh = a.join("test_a.py")
fh.write(
textwrap.dedent(
"""\
import pytest
def test_real():
pass
"""
)
)
result = testdir.runpytest("--keep-duplicates", a.strpath, a.strpath)
result.stdout.fnmatch_lines(["*collected 2 item*"])
def test_package_collection_infinite_recursion(testdir):
testdir.copy_example("collect/package_infinite_recursion")
result = testdir.runpytest()
result.stdout.fnmatch_lines("*1 passed*")
def test_package_collection_init_given_as_argument(testdir):
"""Regression test for #3749"""
p = testdir.copy_example("collect/package_init_given_as_arg")
result = testdir.runpytest(p / "pkg" / "__init__.py")
result.stdout.fnmatch_lines("*1 passed*")
def test_package_with_modules(testdir):
"""
.
└── root
├── __init__.py
├── sub1
│ ├── __init__.py
│ └── sub1_1
│ ├── __init__.py
│ └── test_in_sub1.py
└── sub2
└── test
└── test_in_sub2.py
"""
root = testdir.mkpydir("root")
sub1 = root.mkdir("sub1")
sub1.ensure("__init__.py")
sub1_test = sub1.mkdir("sub1_1")
sub1_test.ensure("__init__.py")
sub2 = root.mkdir("sub2")
sub2_test = sub2.mkdir("sub2")
sub1_test.join("test_in_sub1.py").write("def test_1(): pass")
sub2_test.join("test_in_sub2.py").write("def test_2(): pass")
# Execute from .
result = testdir.runpytest("-v", "-s")
result.assert_outcomes(passed=2)
# Execute from . with one argument "root"
result = testdir.runpytest("-v", "-s", "root")
result.assert_outcomes(passed=2)
# Chdir into package's root and execute with no args
root.chdir()
result = testdir.runpytest("-v", "-s")
result.assert_outcomes(passed=2)
def test_package_ordering(testdir):
"""
.
└── root
├── Test_root.py
├── __init__.py
├── sub1
│ ├── Test_sub1.py
│ └── __init__.py
└── sub2
└── test
└── test_sub2.py
"""
testdir.makeini(
"""
[pytest]
python_files=*.py
"""
)
root = testdir.mkpydir("root")
sub1 = root.mkdir("sub1")
sub1.ensure("__init__.py")
sub2 = root.mkdir("sub2")
sub2_test = sub2.mkdir("sub2")
root.join("Test_root.py").write("def test_1(): pass")
sub1.join("Test_sub1.py").write("def test_2(): pass")
sub2_test.join("test_sub2.py").write("def test_3(): pass")
# Execute from .
result = testdir.runpytest("-v", "-s")
result.assert_outcomes(passed=3)
|
mit
|
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nhomar/odoo-mirror
|
addons/base_report_designer/plugin/openerp_report_designer/bin/script/About.py
|
293
|
3815
|
#########################################################################
#
# Copyright (c) 2003-2004 Danny Brewer d29583@groovegarden.com
# Copyright (C) 2004-2010 OpenERP SA (<http://openerp.com>).
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
#
# See: http://www.gnu.org/licenses/lgpl.html
#
#############################################################################
import uno
from com.sun.star.task import XJobExecutor
if __name__<>'package':
from lib.gui import *
class About(unohelper.Base, XJobExecutor):
def __init__(self, ctx):
self.ctx = ctx
self.module = "openerp_report"
self.version = "0.1"
self.win = DBModalDialog(60, 50, 175, 115, "About Odoo Report Designer")
fdBigFont = createUnoStruct("com.sun.star.awt.FontDescriptor")
fdBigFont.Width = 20
fdBigFont.Height = 25
fdBigFont.Weight = 120
fdBigFont.Family= 3
oLabelTitle1 = self.win.addFixedText("lblTitle1", 1, 1, 35, 30)
oLabelTitle1.Model.TextColor = 16056320
oLabelTitle1.Model.FontDescriptor = fdBigFont
oLabelTitle1.Model.FontRelief = 1
oLabelTitle1.Text = "Open"
oLabelTitle2 = self.win.addFixedText("lblTitle2", 35, 1, 30, 30)
oLabelTitle2.Model.TextColor = 1
oLabelTitle2.Model.FontDescriptor = fdBigFont
oLabelTitle2.Model.FontRelief = 1
oLabelTitle2.Text = "ERP"
oLabelProdDesc = self.win.addFixedText("lblProdDesc", 1, 30, 173, 75)
oLabelProdDesc.Model.TextColor = 1
fdBigFont.Width = 10
fdBigFont.Height = 11
fdBigFont.Weight = 76
oLabelProdDesc.Model.FontDescriptor = fdBigFont
oLabelProdDesc.Model.Align = 1
oLabelProdDesc.Model.FontRelief = 1
oLabelProdDesc.Model.MultiLine = True
oLabelProdDesc.Text = "This package helps you to create or modify\nreports in Odoo. Once connected to the\nserver, you can design your template of reports\nusing fields and expressions and browsing the\ncomplete structure of Odoo object database."
oLabelFooter = self.win.addFixedText("lblFooter", -1, -1, 173, 25)
oLabelFooter.Model.TextColor = 255
#oLabelFooter.Model.BackgroundColor = 1
oLabelFooter.Model.Border = 2
oLabelFooter.Model.BorderColor = 255
fdBigFont.Width = 8
fdBigFont.Height = 9
fdBigFont.Weight = 100
oLabelFooter.Model.FontDescriptor = fdBigFont
oLabelFooter.Model.Align = 1
oLabelFooter.Model.FontRelief = 1
oLabelFooter.Model.MultiLine = True
sMessage = "Odoo Report Designer v1.0 \nCopyright 2007-TODAY Tiny sprl \nThis product is free software, under the GNU Affero General Public License."
oLabelFooter.Text = sMessage
self.win.doModalDialog("",None)
if __name__<>"package" and __name__=="__main__":
About(None)
elif __name__=="package":
g_ImplementationHelper.addImplementation( About, "org.openoffice.openerp.report.about", ("com.sun.star.task.Job",),)
# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
|
agpl-3.0
|
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axbaretto/beam
|
sdks/python/apache_beam/io/gcp/datastore/v1/datastoreio_test.py
|
1
|
12457
|
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# pytype: skip-file
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
import unittest
from builtins import map
from builtins import range
from builtins import zip
from mock import MagicMock
from mock import call
from mock import patch
# Protect against environments where datastore library is not available.
# pylint: disable=wrong-import-order, wrong-import-position, ungrouped-imports
try:
from google.cloud.proto.datastore.v1 import datastore_pb2
from apache_beam.io.gcp.datastore.v1 import fake_datastore
from apache_beam.io.gcp.datastore.v1 import helper
from google.cloud.proto.datastore.v1 import query_pb2
from apache_beam.io.gcp.datastore.v1 import query_splitter
from apache_beam.io.gcp.datastore.v1 import util
from apache_beam.io.gcp.datastore.v1.datastoreio import ReadFromDatastore
from apache_beam.io.gcp.datastore.v1.datastoreio import WriteToDatastore
from apache_beam.io.gcp.datastore.v1.datastoreio import _Mutate
from google.protobuf import timestamp_pb2
from googledatastore import helper as datastore_helper
except (ImportError, TypeError):
datastore_pb2 = None
# pylint: enable=wrong-import-order, wrong-import-position, ungrouped-imports
class DatastoreioTest(unittest.TestCase):
_PROJECT = 'project'
_KIND = 'kind'
_NAMESPACE = 'namespace'
@unittest.skipIf(
sys.version_info[0] == 3,
'v1/datastoreio does not support Python 3 TODO: BEAM-4543')
@unittest.skipIf(datastore_pb2 is None, 'GCP dependencies are not installed')
def setUp(self):
self._mock_datastore = MagicMock()
self._query = query_pb2.Query()
self._query.kind.add().name = self._KIND
self._WRITE_BATCH_INITIAL_SIZE = util.WRITE_BATCH_INITIAL_SIZE
def get_timestamp(self):
return timestamp_pb2.Timestamp(seconds=1234)
def test_get_estimated_size_bytes_without_namespace(self):
entity_bytes = 100
timestamp = self.get_timestamp()
self.check_estimated_size_bytes(entity_bytes, timestamp)
def test_get_estimated_size_bytes_with_namespace(self):
entity_bytes = 100
timestamp = self.get_timestamp()
self.check_estimated_size_bytes(entity_bytes, timestamp, self._NAMESPACE)
def test_SplitQueryFn_with_num_splits(self):
with patch.object(helper,
'get_datastore',
return_value=self._mock_datastore):
num_splits = 23
def fake_get_splits(datastore, query, num_splits, partition=None):
return self.split_query(query, num_splits)
with patch.object(query_splitter,
'get_splits',
side_effect=fake_get_splits):
split_query_fn = ReadFromDatastore.SplitQueryFn(
self._PROJECT, self._query, None, num_splits)
split_query_fn.start_bundle()
returned_split_queries = []
for split_query in split_query_fn.process(self._query):
returned_split_queries.append(split_query)
self.assertEqual(len(returned_split_queries), num_splits)
self.assertEqual(0, len(self._mock_datastore.run_query.call_args_list))
self.verify_unique_keys(returned_split_queries)
def test_SplitQueryFn_without_num_splits(self):
with patch.object(helper,
'get_datastore',
return_value=self._mock_datastore):
# Force SplitQueryFn to compute the number of query splits
num_splits = 0
expected_num_splits = 23
entity_bytes = (
expected_num_splits * ReadFromDatastore._DEFAULT_BUNDLE_SIZE_BYTES)
with patch.object(ReadFromDatastore,
'get_estimated_size_bytes',
return_value=entity_bytes):
def fake_get_splits(datastore, query, num_splits, partition=None):
return self.split_query(query, num_splits)
with patch.object(query_splitter,
'get_splits',
side_effect=fake_get_splits):
split_query_fn = ReadFromDatastore.SplitQueryFn(
self._PROJECT, self._query, None, num_splits)
split_query_fn.start_bundle()
returned_split_queries = []
for split_query in split_query_fn.process(self._query):
returned_split_queries.append(split_query)
self.assertEqual(len(returned_split_queries), expected_num_splits)
self.assertEqual(
0, len(self._mock_datastore.run_query.call_args_list))
self.verify_unique_keys(returned_split_queries)
def test_SplitQueryFn_with_query_limit(self):
"""A test that verifies no split is performed when the query has a limit."""
with patch.object(helper,
'get_datastore',
return_value=self._mock_datastore):
self._query.limit.value = 3
split_query_fn = ReadFromDatastore.SplitQueryFn(
self._PROJECT, self._query, None, 4)
split_query_fn.start_bundle()
returned_split_queries = []
for split_query in split_query_fn.process(self._query):
returned_split_queries.append(split_query)
self.assertEqual(1, len(returned_split_queries))
self.assertEqual(0, len(self._mock_datastore.method_calls))
def test_SplitQueryFn_with_exception(self):
"""A test that verifies that no split is performed when failures occur."""
with patch.object(helper,
'get_datastore',
return_value=self._mock_datastore):
# Force SplitQueryFn to compute the number of query splits
num_splits = 0
expected_num_splits = 1
entity_bytes = (
expected_num_splits * ReadFromDatastore._DEFAULT_BUNDLE_SIZE_BYTES)
with patch.object(ReadFromDatastore,
'get_estimated_size_bytes',
return_value=entity_bytes):
with patch.object(query_splitter,
'get_splits',
side_effect=ValueError("Testing query split error")):
split_query_fn = ReadFromDatastore.SplitQueryFn(
self._PROJECT, self._query, None, num_splits)
split_query_fn.start_bundle()
returned_split_queries = []
for split_query in split_query_fn.process(self._query):
returned_split_queries.append(split_query)
self.assertEqual(len(returned_split_queries), expected_num_splits)
self.assertEqual(returned_split_queries[0][1], self._query)
self.assertEqual(
0, len(self._mock_datastore.run_query.call_args_list))
self.verify_unique_keys(returned_split_queries)
def test_DatastoreWriteFn_with_empty_batch(self):
self.check_DatastoreWriteFn(0)
def test_DatastoreWriteFn_with_one_batch(self):
num_entities_to_write = self._WRITE_BATCH_INITIAL_SIZE * 1 - 50
self.check_DatastoreWriteFn(num_entities_to_write)
def test_DatastoreWriteFn_with_multiple_batches(self):
num_entities_to_write = self._WRITE_BATCH_INITIAL_SIZE * 3 + 50
self.check_DatastoreWriteFn(num_entities_to_write)
def test_DatastoreWriteFn_with_batch_size_exact_multiple(self):
num_entities_to_write = self._WRITE_BATCH_INITIAL_SIZE * 2
self.check_DatastoreWriteFn(num_entities_to_write)
def test_DatastoreWriteFn_with_dynamic_batch_sizes(self):
num_entities_to_write = self._WRITE_BATCH_INITIAL_SIZE * 3 + 50
self.check_DatastoreWriteFn(
num_entities_to_write, use_fixed_batch_size=False)
def check_DatastoreWriteFn(self, num_entities, use_fixed_batch_size=True):
"""A helper function to test DatastoreWriteFn."""
with patch.object(helper,
'get_datastore',
return_value=self._mock_datastore):
entities = [
e.entity for e in fake_datastore.create_entities(num_entities)
]
expected_mutations = list(
map(WriteToDatastore.to_upsert_mutation, entities))
actual_mutations = []
self._mock_datastore.commit.side_effect = (
fake_datastore.create_commit(actual_mutations))
fixed_batch_size = None
if use_fixed_batch_size:
fixed_batch_size = self._WRITE_BATCH_INITIAL_SIZE
datastore_write_fn = _Mutate.DatastoreWriteFn(
self._PROJECT, fixed_batch_size=fixed_batch_size)
datastore_write_fn.start_bundle()
for mutation in expected_mutations:
datastore_write_fn.process(mutation)
datastore_write_fn.finish_bundle()
self.assertEqual(actual_mutations, expected_mutations)
if use_fixed_batch_size:
self.assertEqual(
(num_entities - 1) // self._WRITE_BATCH_INITIAL_SIZE + 1,
self._mock_datastore.commit.call_count)
else:
self._mock_datastore.commit.assert_called()
def test_DatastoreWriteLargeEntities(self):
"""100*100kB entities gets split over two Commit RPCs."""
with patch.object(helper,
'get_datastore',
return_value=self._mock_datastore):
entities = [e.entity for e in fake_datastore.create_entities(100)]
datastore_write_fn = _Mutate.DatastoreWriteFn(
self._PROJECT, fixed_batch_size=self._WRITE_BATCH_INITIAL_SIZE)
datastore_write_fn.start_bundle()
for entity in entities:
datastore_helper.add_properties(
entity, {'large': u'A' * 100000}, exclude_from_indexes=True)
datastore_write_fn.process(WriteToDatastore.to_upsert_mutation(entity))
datastore_write_fn.finish_bundle()
self.assertEqual(2, self._mock_datastore.commit.call_count)
def verify_unique_keys(self, queries):
"""A helper function that verifies if all the queries have unique keys."""
keys, _ = zip(*queries)
keys = set(keys)
self.assertEqual(len(keys), len(queries))
def check_estimated_size_bytes(self, entity_bytes, timestamp, namespace=None):
"""A helper method to test get_estimated_size_bytes"""
timestamp_req = helper.make_request(
self._PROJECT, namespace, helper.make_latest_timestamp_query(namespace))
timestamp_resp = self.make_stats_response(
{'timestamp': datastore_helper.from_timestamp(timestamp)})
kind_stat_req = helper.make_request(
self._PROJECT,
namespace,
helper.make_kind_stats_query(
namespace,
self._query.kind[0].name,
datastore_helper.micros_from_timestamp(timestamp)))
kind_stat_resp = self.make_stats_response({'entity_bytes': entity_bytes})
def fake_run_query(req):
if req == timestamp_req:
return timestamp_resp
elif req == kind_stat_req:
return kind_stat_resp
else:
print(kind_stat_req)
raise ValueError("Unknown req: %s" % req)
self._mock_datastore.run_query.side_effect = fake_run_query
self.assertEqual(
entity_bytes,
ReadFromDatastore.get_estimated_size_bytes(
self._PROJECT, namespace, self._query, self._mock_datastore))
self.assertEqual(
self._mock_datastore.run_query.call_args_list,
[call(timestamp_req), call(kind_stat_req)])
def make_stats_response(self, property_map):
resp = datastore_pb2.RunQueryResponse()
entity_result = resp.batch.entity_results.add()
datastore_helper.add_properties(entity_result.entity, property_map)
return resp
def split_query(self, query, num_splits):
"""Generate dummy query splits."""
split_queries = []
for _ in range(0, num_splits):
q = query_pb2.Query()
q.CopyFrom(query)
split_queries.append(q)
return split_queries
if __name__ == '__main__':
unittest.main()
|
apache-2.0
|
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garbled1/ansible
|
lib/ansible/modules/network/nxos/nxos_vxlan_vtep_vni.py
|
22
|
12128
|
#!/usr/bin/python
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
#
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'network'}
DOCUMENTATION = '''
---
module: nxos_vxlan_vtep_vni
extends_documentation_fragment: nxos
version_added: "2.2"
short_description: Creates a Virtual Network Identifier member (VNI)
description:
- Creates a Virtual Network Identifier member (VNI) for an NVE
overlay interface.
author: Gabriele Gerbino (@GGabriele)
notes:
- Tested against NXOSv 7.3.(0)D1(1) on VIRL
- default, where supported, restores params default value.
options:
interface:
description:
- Interface name for the VXLAN Network Virtualization Endpoint.
required: true
vni:
description:
- ID of the Virtual Network Identifier.
required: true
assoc_vrf:
description:
- This attribute is used to identify and separate processing VNIs
that are associated with a VRF and used for routing. The VRF
and VNI specified with this command must match the configuration
of the VNI under the VRF.
required: false
choices: ['true','false']
default: null
ingress_replication:
description:
- Specifies mechanism for host reachability advertisement.
required: false
choices: ['bgp','static']
default: null
multicast_group:
description:
- The multicast group (range) of the VNI. Valid values are
string and keyword 'default'.
required: false
default: null
peer_list:
description:
- Set the ingress-replication static peer list. Valid values
are an array, a space-separated string of ip addresses,
or the keyword 'default'.
required: false
default: null
suppress_arp:
description:
- Suppress arp under layer 2 VNI.
required: false
choices: ['true','false']
default: null
state:
description:
- Determines whether the config should be present or not
on the device.
required: false
default: present
choices: ['present','absent']
'''
EXAMPLES = '''
- nxos_vxlan_vtep_vni:
interface: nve1
vni: 6000
ingress_replication: default
'''
RETURN = '''
commands:
description: commands sent to the device
returned: always
type: list
sample: ["interface nve1", "member vni 6000"]
'''
import re
from ansible.module_utils.nxos import get_config, load_config
from ansible.module_utils.nxos import nxos_argument_spec, check_args
from ansible.module_utils.basic import AnsibleModule
from ansible.module_utils.netcfg import CustomNetworkConfig
BOOL_PARAMS = [
'assoc_vrf',
'suppress_arp',
]
PARAM_TO_COMMAND_KEYMAP = {
'assoc_vrf': 'associate-vrf',
'interface': 'interface',
'vni': 'member vni',
'ingress_replication': 'ingress-replication protocol',
'multicast_group': 'mcast-group',
'peer_list': 'peer-ip',
'suppress_arp': 'suppress-arp'
}
def get_value(arg, config, module):
command = PARAM_TO_COMMAND_KEYMAP[arg]
command_val_re = re.compile(r'(?:{0}\s)(?P<value>.*)$'.format(command), re.M)
if arg in BOOL_PARAMS:
command_re = re.compile(r'\s+{0}\s*$'.format(command), re.M)
value = False
if command_re.search(config):
value = True
elif arg == 'peer_list':
has_command_val = command_val_re.findall(config, re.M)
value = []
if has_command_val:
value = has_command_val
else:
value = ''
has_command_val = command_val_re.search(config, re.M)
if has_command_val:
value = has_command_val.group('value')
return value
def check_interface(module, netcfg):
config = str(netcfg)
has_interface = re.search(r'(?:interface nve)(?P<value>.*)$', config, re.M)
value = ''
if has_interface:
value = 'nve{0}'.format(has_interface.group('value'))
return value
def get_existing(module, args):
existing = {}
netcfg = CustomNetworkConfig(indent=2, contents=get_config(module))
interface_exist = check_interface(module, netcfg)
if interface_exist:
parents = ['interface {0}'.format(interface_exist)]
temp_config = netcfg.get_section(parents)
if 'member vni {0} associate-vrf'.format(module.params['vni']) in temp_config:
parents.append('member vni {0} associate-vrf'.format(module.params['vni']))
config = netcfg.get_section(parents)
elif "member vni {0}".format(module.params['vni']) in temp_config:
parents.append('member vni {0}'.format(module.params['vni']))
config = netcfg.get_section(parents)
else:
config = {}
if config:
for arg in args:
if arg not in ['interface', 'vni']:
existing[arg] = get_value(arg, config, module)
existing['interface'] = interface_exist
existing['vni'] = module.params['vni']
return existing, interface_exist
def apply_key_map(key_map, table):
new_dict = {}
for key, value in table.items():
new_key = key_map.get(key)
if new_key:
new_dict[new_key] = value
return new_dict
def state_present(module, existing, proposed, candidate):
commands = list()
proposed_commands = apply_key_map(PARAM_TO_COMMAND_KEYMAP, proposed)
existing_commands = apply_key_map(PARAM_TO_COMMAND_KEYMAP, existing)
for key, value in proposed_commands.items():
if key == 'associate-vrf':
command = 'member vni {0} {1}'.format(module.params['vni'], key)
if not value:
command = 'no {0}'.format(command)
commands.append(command)
elif key == 'peer-ip' and value != 'default':
for peer in value:
commands.append('{0} {1}'.format(key, peer))
elif key == 'mcast-group' and value != existing_commands.get(key):
commands.append('no {0}'.format(key))
commands.append('{0} {1}'.format(key, value))
elif value is True:
commands.append(key)
elif value is False:
commands.append('no {0}'.format(key))
elif value == 'default':
if existing_commands.get(key):
existing_value = existing_commands.get(key)
if key == 'peer-ip':
for peer in existing_value:
commands.append('no {0} {1}'.format(key, peer))
else:
commands.append('no {0} {1}'.format(key, existing_value))
else:
if key.replace(' ', '_').replace('-', '_') in BOOL_PARAMS:
commands.append('no {0}'.format(key.lower()))
else:
command = '{0} {1}'.format(key, value.lower())
commands.append(command)
if commands:
vni_command = 'member vni {0}'.format(module.params['vni'])
ingress_replication_command = 'ingress-replication protocol static'
interface_command = 'interface {0}'.format(module.params['interface'])
if ingress_replication_command in commands:
static_level_cmds = [cmd for cmd in commands if 'peer' in cmd]
parents = [interface_command, vni_command, ingress_replication_command]
candidate.add(static_level_cmds, parents=parents)
commands = [cmd for cmd in commands if 'peer' not in cmd]
if vni_command in commands:
parents = [interface_command]
commands.remove(vni_command)
if module.params['assoc_vrf'] is None:
parents.append(vni_command)
candidate.add(commands, parents=parents)
def state_absent(module, existing, proposed, candidate):
if existing['assoc_vrf']:
commands = ['no member vni {0} associate-vrf'.format(
module.params['vni'])]
else:
commands = ['no member vni {0}'.format(module.params['vni'])]
parents = ['interface {0}'.format(module.params['interface'])]
candidate.add(commands, parents=parents)
def main():
argument_spec = dict(
interface=dict(required=True, type='str'),
vni=dict(required=True, type='str'),
assoc_vrf=dict(required=False, type='bool'),
multicast_group=dict(required=False, type='str'),
peer_list=dict(required=False, type='list'),
suppress_arp=dict(required=False, type='bool'),
ingress_replication=dict(required=False, type='str', choices=['bgp', 'static', 'default']),
state=dict(choices=['present', 'absent'], default='present', required=False),
)
argument_spec.update(nxos_argument_spec)
module = AnsibleModule(argument_spec=argument_spec, supports_check_mode=True)
warnings = list()
check_args(module, warnings)
result = {'changed': False, 'commands': [], 'warnings': warnings}
if module.params['assoc_vrf']:
mutually_exclusive_params = ['multicast_group',
'suppress_arp',
'ingress_replication']
for param in mutually_exclusive_params:
if module.params[param]:
module.fail_json(msg='assoc_vrf cannot be used with '
'{0} param'.format(param))
if module.params['peer_list']:
if module.params['ingress_replication'] != 'static':
module.fail_json(msg='ingress_replication=static is required '
'when using peer_list param')
else:
peer_list = module.params['peer_list']
if peer_list[0] == 'default':
module.params['peer_list'] = 'default'
else:
stripped_peer_list = map(str.strip, peer_list)
module.params['peer_list'] = stripped_peer_list
state = module.params['state']
args = PARAM_TO_COMMAND_KEYMAP.keys()
existing, interface_exist = get_existing(module, args)
if state == 'present':
if not interface_exist:
module.fail_json(msg="The proposed NVE interface does not exist. Use nxos_interface to create it first.")
elif interface_exist != module.params['interface']:
module.fail_json(msg='Only 1 NVE interface is allowed on the switch.')
elif state == 'absent':
if interface_exist != module.params['interface']:
module.exit_json(**result)
elif existing and existing['vni'] != module.params['vni']:
module.fail_json(
msg="ERROR: VNI delete failed: Could not find vni node for {0}".format(module.params['vni']),
existing_vni=existing['vni']
)
proposed_args = dict((k, v) for k, v in module.params.items()
if v is not None and k in args)
proposed = {}
for key, value in proposed_args.items():
if key != 'interface' and existing.get(key) != value:
proposed[key] = value
candidate = CustomNetworkConfig(indent=3)
if state == 'present':
state_present(module, existing, proposed, candidate)
elif existing and state == 'absent':
state_absent(module, existing, proposed, candidate)
if candidate:
candidate = candidate.items_text()
result['changed'] = True
result['commands'] = candidate
if not module.check_mode:
load_config(module, candidate)
module.exit_json(**result)
if __name__ == '__main__':
main()
|
gpl-3.0
|
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tayebzaidi/snova_analysis
|
Miscellaneous/typ1a_features.py
|
1
|
2252
|
import matplotlib.pyplot as plt
import scipy.interpolate as scinterp
import numpy as np
import peakfinding
import peak_original
import smoothing
import plotter
import random
import readin
import sys
import os
if __name__== '__main__':
Mbdata = []
delM15data = []
path = "/Users/zaidi/Documents/REU/restframe/"
filenames = os.listdir(path)
random.shuffle(filenames)
for filename in filenames:
current_file = os.path.join(path, filename)
data= readin.readin_SNrest(filename)
indB = np.where((data.band == 'B'))
Bdata = data[indB]
Bdata = np.sort(Bdata)
if len(Bdata.phase) > 3:
spl = scinterp.UnivariateSpline(Bdata.phase, Bdata.mag)
spl.set_smoothing_factor(2./len(Bdata.phase))
phase_new = np.arange(Bdata.phase[0], Bdata.phase[-1], 1)
mag_new = spl(phase_new)
maxp, minp = peak_original.peakdet(mag_new, 0.5, phase_new)
if len(minp) > 0 and minp[0][0] < 5 and minp[0][0] > -5:
Mb = minp[0][1]
delM15 = minp[0][1] - spl(minp[0][0]+15)
Mbdata.append(Mb)
delM15data.append(delM15)
if delM15 > 0 or delM15 < -5:
print minp
print filename
print spl(minp[0][0] + 15)
fig = plt.figure(1)
ax = fig.add_subplot(1,1,1)
ax.plot(phase_new, mag_new)
ax.plot(Bdata.phase, Bdata.mag)
if len(minp) > 0:
ax.scatter(minp[:,0],minp[:,1])
plt.show(fig)
'''
maxp, minp = peakfinding.peakdetect(mag_new, phase_new, 200, 1.5)
if len(minp) > 0:
print minp
print filename
fig = plt.figure(1)
ax = fig.add_subplot(1,1,1)
#ax.scatter(minp[:,0], minp[:,1],'bo')
#ax.plot(Bdata.phase, Bdata.mag)
#plt.show(fig)
'''
#interp = smoothing.Interpolate1D(data.phase
print Mbdata
print delM15data
fig = plt.figure(2)
ax = fig.add_subplot(1,1,1)
ax.scatter(Mbdata, delM15data)
plt.show(fig)
|
gpl-3.0
|
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jwren/intellij-community
|
python/python-features-trainer/resources/learnProjects/python/PyCharmLearningProject/src/warehouse/warehouse.py
|
9
|
1037
|
from util.util import FRUITS
class Warehouse:
# Fruit name to amount of it in warehouse
entry = {} # Apple, banana, etc...
def __init__(self) -> None:
for fruit in FRUITS:
self.entry[fruit] = 0
# fruit name from util.FRUITS (mango, apple...)
def add_fruits(self, fruit_name, quantity) -> None:
cur_quantity = self.entry.get(fruit_name)
if cur_quantity is not None:
self.entry[fruit_name] = cur_quantity + quantity
else:
raise KeyError(f"Not found fruit with name: {fruit_name}")
def take_fruit(self, fruit_name) -> bool:
cur_quantity = self.entry.get(fruit_name)
if cur_quantity is None:
raise KeyError(f"Not found fruit with name: {fruit_name}")
elif cur_quantity > 0:
self.entry[fruit_name] = cur_quantity - 1
return True
return False
def print_all_fruits(self) -> None:
for fruit, quantity in self.entry.items():
print(f"{fruit}: {quantity}")
|
apache-2.0
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hackers-terabit/portage
|
bin/check-implicit-pointer-usage.py
|
6
|
2942
|
#!/usr/bin/python -b
# Ripped from HP and updated from Debian
# Update by Gentoo to support unicode output
#
# Copyright (c) 2004 Hewlett-Packard Development Company, L.P.
# David Mosberger <davidm@hpl.hp.com>
#
# Scan standard input for GCC warning messages that are likely to
# source of real 64-bit problems. In particular, see whether there
# are any implicitly declared functions whose return values are later
# interpreted as pointers. Those are almost guaranteed to cause
# crashes.
#
from __future__ import print_function
import re
import sys
implicit_pattern = re.compile("([^:]*):(\d+): warning: implicit declaration "
+ "of function [`']([^']*)'")
pointer_pattern = (
"([^:]*):(\d+): warning: "
+ "("
+ "(assignment"
+ "|initialization"
+ "|return"
+ "|passing arg \d+ of `[^']*'"
+ "|passing arg \d+ of pointer to function"
+ ") makes pointer from integer without a cast"
+ "|"
+ "cast to pointer from integer of different size)")
if sys.hexversion < 0x3000000:
# Use encoded byte strings in python-2.x, since the python ebuilds are
# known to remove the encodings module when USE=build is enabled (thus
# disabling unicode decoding/encoding). The portage module has a
# workaround for this, but currently we don't import that here since we
# don't want to trigger potential sandbox violations due to stale pyc
# files for the portage module.
unicode_quote_open = '\xE2\x80\x98'
unicode_quote_close = '\xE2\x80\x99'
def write(msg):
sys.stdout.write(msg)
else:
unicode_quote_open = '\u2018'
unicode_quote_close = '\u2019'
def write(msg):
sys.stdout.buffer.write(msg.encode('utf_8', 'backslashreplace'))
pointer_pattern = re.compile(pointer_pattern)
last_implicit_filename = ""
last_implicit_linenum = -1
last_implicit_func = ""
while True:
if sys.hexversion >= 0x3000000:
line = sys.stdin.buffer.readline().decode('utf_8', 'replace')
else:
line = sys.stdin.readline()
if not line:
break
# translate unicode open/close quotes to ascii ones
line = line.replace(unicode_quote_open, "`")
line = line.replace(unicode_quote_close, "'")
m = implicit_pattern.match(line)
if m:
last_implicit_filename = m.group(1)
last_implicit_linenum = int(m.group(2))
last_implicit_func = m.group(3)
else:
m = pointer_pattern.match(line)
if m:
pointer_filename = m.group(1)
pointer_linenum = int(m.group(2))
if (last_implicit_filename == pointer_filename
and last_implicit_linenum == pointer_linenum):
write("Function `%s' implicitly converted to pointer at " \
"%s:%d\n" % (last_implicit_func,
last_implicit_filename,
last_implicit_linenum))
|
gpl-2.0
|
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DREAM-ODA-OS/tools
|
metadata/dimap2eop.py
|
1
|
3474
|
#!/usr/bin/env python
#------------------------------------------------------------------------------
#
# Extract O&M-EOP metadata document.
#
# Project: EO Metadata Handling
# Authors: Martin Paces <martin.paces@eox.at>
#
#-------------------------------------------------------------------------------
# Copyright (C) 2013 EOX IT Services GmbH
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies of this Software or works derived from this Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#-------------------------------------------------------------------------------
import traceback
import sys
import os.path
from lxml import etree as et
from profiles.interfaces import ProfileDimap
from profiles.spot6_ortho import ProfileSpot6Ortho
from profiles.spot_view import ProfileSpotView
from profiles.spot_scene_1a import ProfileSpotScene1a
from profiles.pleiades1_ortho import ProfilePleiades1Ortho
XML_OPTS = {'pretty_print': True, 'xml_declaration': True, 'encoding': 'utf-8'}
PROFILES = (
ProfileSpotScene1a, ProfileSpotView,
ProfileSpot6Ortho, ProfilePleiades1Ortho,
)
def main(fname):
xml = et.parse(fname, et.XMLParser(remove_blank_text=True))
profile = get_profile(xml)
print et.tostring(profile.extract_eop_metadata(xml, file_name=fname), **XML_OPTS)
def get_profile(xml):
for item in PROFILES:
if item.check_profile(xml):
return item
prf = ProfileDimap.get_dimap_profile(xml)
if prf is None:
raise ValueError("Not a DIMAP XML document!")
profile, version = prf
raise ValueError("Unsupported DIMAP version %s profile '%s'!"%(version, profile))
#------------------------------------------------------------------------------
if __name__ == "__main__":
EXENAME = os.path.basename(sys.argv[0])
DEBUG = False
try:
XML = sys.argv[1]
for arg in sys.argv[2:]:
if arg == "DEBUG":
DEBUG = True # dump debuging output
except IndexError:
print >>sys.stderr, "ERROR: %s: Not enough input arguments!"%EXENAME
print >>sys.stderr
print >>sys.stderr, "Extract EOP XML metadata from DIMAP XML metadata."
print >>sys.stderr
print >>sys.stderr, "USAGE: %s <input-xml> [DEBUG]"%EXENAME
sys.exit(1)
if DEBUG:
print >>sys.stderr, "input-xml: ", XML
try:
main(XML)
except Exception as exc:
print >>sys.stderr, "ERROR: %s: %s "%(EXENAME, exc)
if DEBUG:
print >>sys.stderr, traceback.format_exc()
sys.exit(1)
|
mit
|
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jhawkesworth/ansible
|
lib/ansible/modules/cloud/univention/udm_user.py
|
37
|
18102
|
#!/usr/bin/python
# -*- coding: UTF-8 -*-
# Copyright: (c) 2016, Adfinis SyGroup AG
# Tobias Rueetschi <tobias.ruetschi@adfinis-sygroup.ch>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'}
DOCUMENTATION = '''
---
module: udm_user
version_added: "2.2"
author:
- Tobias Rüetschi (@keachi)
short_description: Manage posix users on a univention corporate server
description:
- "This module allows to manage posix users on a univention corporate
server (UCS).
It uses the python API of the UCS to create a new object or edit it."
requirements:
- Python >= 2.6
options:
state:
default: "present"
choices: [ present, absent ]
description:
- Whether the user is present or not.
username:
required: true
description:
- User name
aliases: ['name']
firstname:
description:
- First name. Required if C(state=present).
lastname:
description:
- Last name. Required if C(state=present).
password:
description:
- Password. Required if C(state=present).
birthday:
description:
- Birthday
city:
description:
- City of users business address.
country:
description:
- Country of users business address.
department_number:
description:
- Department number of users business address.
aliases: [ departmentNumber ]
description:
description:
- Description (not gecos)
display_name:
description:
- Display name (not gecos)
aliases: [ displayName ]
email:
default: []
description:
- A list of e-mail addresses.
employee_number:
description:
- Employee number
aliases: [ employeeNumber ]
employee_type:
description:
- Employee type
aliases: [ employeeType ]
gecos:
description:
- GECOS
groups:
default: []
description:
- "POSIX groups, the LDAP DNs of the groups will be found with the
LDAP filter for each group as $GROUP:
C((&(objectClass=posixGroup)(cn=$GROUP)))."
home_share:
description:
- "Home NFS share. Must be a LDAP DN, e.g.
C(cn=home,cn=shares,ou=school,dc=example,dc=com)."
aliases: [ homeShare ]
home_share_path:
description:
- Path to home NFS share, inside the homeShare.
aliases: [ homeSharePath ]
home_telephone_number:
default: []
description:
- List of private telephone numbers.
aliases: [ homeTelephoneNumber ]
homedrive:
description:
- Windows home drive, e.g. C("H:").
mail_alternative_address:
default: []
description:
- List of alternative e-mail addresses.
aliases: [ mailAlternativeAddress ]
mail_home_server:
description:
- FQDN of mail server
aliases: [ mailHomeServer ]
mail_primary_address:
description:
- Primary e-mail address
aliases: [ mailPrimaryAddress ]
mobile_telephone_number:
default: []
description:
- Mobile phone number
aliases: [ mobileTelephoneNumber ]
organisation:
description:
- Organisation
aliases: [ organization ]
override_pw_history:
type: bool
default: 'no'
description:
- Override password history
aliases: [ overridePWHistory ]
override_pw_length:
type: bool
default: 'no'
description:
- Override password check
aliases: [ overridePWLength ]
pager_telephonenumber:
default: []
description:
- List of pager telephone numbers.
aliases: [ pagerTelephonenumber ]
phone:
description:
- List of telephone numbers.
postcode:
description:
- Postal code of users business address.
primary_group:
default: cn=Domain Users,cn=groups,$LDAP_BASE_DN
description:
- Primary group. This must be the group LDAP DN.
aliases: [ primaryGroup ]
profilepath:
description:
- Windows profile directory
pwd_change_next_login:
choices: [ '0', '1' ]
description:
- Change password on next login.
aliases: [ pwdChangeNextLogin ]
room_number:
description:
- Room number of users business address.
aliases: [ roomNumber ]
samba_privileges:
description:
- "Samba privilege, like allow printer administration, do domain
join."
aliases: [ sambaPrivileges ]
samba_user_workstations:
description:
- Allow the authentication only on this Microsoft Windows host.
aliases: [ sambaUserWorkstations ]
sambahome:
description:
- Windows home path, e.g. C('\\\\$FQDN\\$USERNAME').
scriptpath:
description:
- Windows logon script.
secretary:
default: []
description:
- A list of superiors as LDAP DNs.
serviceprovider:
default: []
description:
- Enable user for the following service providers.
shell:
default: '/bin/bash'
description:
- Login shell
street:
description:
- Street of users business address.
title:
description:
- Title, e.g. C(Prof.).
unixhome:
default: '/home/$USERNAME'
description:
- Unix home directory
userexpiry:
default: Today + 1 year
description:
- Account expiry date, e.g. C(1999-12-31).
position:
default: ''
description:
- "Define the whole position of users object inside the LDAP tree,
e.g. C(cn=employee,cn=users,ou=school,dc=example,dc=com)."
update_password:
default: always
description:
- "C(always) will update passwords if they differ.
C(on_create) will only set the password for newly created users."
version_added: "2.3"
ou:
default: ''
description:
- "Organizational Unit inside the LDAP Base DN, e.g. C(school) for
LDAP OU C(ou=school,dc=example,dc=com)."
subpath:
default: 'cn=users'
description:
- "LDAP subpath inside the organizational unit, e.g.
C(cn=teachers,cn=users) for LDAP container
C(cn=teachers,cn=users,dc=example,dc=com)."
'''
EXAMPLES = '''
# Create a user on a UCS
- udm_user:
name: FooBar
password: secure_password
firstname: Foo
lastname: Bar
# Create a user with the DN
# C(uid=foo,cn=teachers,cn=users,ou=school,dc=school,dc=example,dc=com)
- udm_user:
name: foo
password: secure_password
firstname: Foo
lastname: Bar
ou: school
subpath: 'cn=teachers,cn=users'
# or define the position
- udm_user:
name: foo
password: secure_password
firstname: Foo
lastname: Bar
position: 'cn=teachers,cn=users,ou=school,dc=school,dc=example,dc=com'
'''
RETURN = '''# '''
import crypt
from datetime import date, timedelta
from ansible.module_utils.basic import AnsibleModule
from ansible.module_utils.univention_umc import (
umc_module_for_add,
umc_module_for_edit,
ldap_search,
base_dn,
)
def main():
expiry = date.strftime(date.today() + timedelta(days=365), "%Y-%m-%d")
module = AnsibleModule(
argument_spec=dict(
birthday=dict(default=None,
type='str'),
city=dict(default=None,
type='str'),
country=dict(default=None,
type='str'),
department_number=dict(default=None,
type='str',
aliases=['departmentNumber']),
description=dict(default=None,
type='str'),
display_name=dict(default=None,
type='str',
aliases=['displayName']),
email=dict(default=[''],
type='list'),
employee_number=dict(default=None,
type='str',
aliases=['employeeNumber']),
employee_type=dict(default=None,
type='str',
aliases=['employeeType']),
firstname=dict(default=None,
type='str'),
gecos=dict(default=None,
type='str'),
groups=dict(default=[],
type='list'),
home_share=dict(default=None,
type='str',
aliases=['homeShare']),
home_share_path=dict(default=None,
type='str',
aliases=['homeSharePath']),
home_telephone_number=dict(default=[],
type='list',
aliases=['homeTelephoneNumber']),
homedrive=dict(default=None,
type='str'),
lastname=dict(default=None,
type='str'),
mail_alternative_address=dict(default=[],
type='list',
aliases=['mailAlternativeAddress']),
mail_home_server=dict(default=None,
type='str',
aliases=['mailHomeServer']),
mail_primary_address=dict(default=None,
type='str',
aliases=['mailPrimaryAddress']),
mobile_telephone_number=dict(default=[],
type='list',
aliases=['mobileTelephoneNumber']),
organisation=dict(default=None,
type='str',
aliases=['organization']),
overridePWHistory=dict(default=False,
type='bool',
aliases=['override_pw_history']),
overridePWLength=dict(default=False,
type='bool',
aliases=['override_pw_length']),
pager_telephonenumber=dict(default=[],
type='list',
aliases=['pagerTelephonenumber']),
password=dict(default=None,
type='str',
no_log=True),
phone=dict(default=[],
type='list'),
postcode=dict(default=None,
type='str'),
primary_group=dict(default=None,
type='str',
aliases=['primaryGroup']),
profilepath=dict(default=None,
type='str'),
pwd_change_next_login=dict(default=None,
type='str',
choices=['0', '1'],
aliases=['pwdChangeNextLogin']),
room_number=dict(default=None,
type='str',
aliases=['roomNumber']),
samba_privileges=dict(default=[],
type='list',
aliases=['sambaPrivileges']),
samba_user_workstations=dict(default=[],
type='list',
aliases=['sambaUserWorkstations']),
sambahome=dict(default=None,
type='str'),
scriptpath=dict(default=None,
type='str'),
secretary=dict(default=[],
type='list'),
serviceprovider=dict(default=[''],
type='list'),
shell=dict(default='/bin/bash',
type='str'),
street=dict(default=None,
type='str'),
title=dict(default=None,
type='str'),
unixhome=dict(default=None,
type='str'),
userexpiry=dict(default=expiry,
type='str'),
username=dict(required=True,
aliases=['name'],
type='str'),
position=dict(default='',
type='str'),
update_password=dict(default='always',
choices=['always', 'on_create'],
type='str'),
ou=dict(default='',
type='str'),
subpath=dict(default='cn=users',
type='str'),
state=dict(default='present',
choices=['present', 'absent'],
type='str')
),
supports_check_mode=True,
required_if=([
('state', 'present', ['firstname', 'lastname', 'password'])
])
)
username = module.params['username']
position = module.params['position']
ou = module.params['ou']
subpath = module.params['subpath']
state = module.params['state']
changed = False
diff = None
users = list(ldap_search(
'(&(objectClass=posixAccount)(uid={0}))'.format(username),
attr=['uid']
))
if position != '':
container = position
else:
if ou != '':
ou = 'ou={0},'.format(ou)
if subpath != '':
subpath = '{0},'.format(subpath)
container = '{0}{1}{2}'.format(subpath, ou, base_dn())
user_dn = 'uid={0},{1}'.format(username, container)
exists = bool(len(users))
if state == 'present':
try:
if not exists:
obj = umc_module_for_add('users/user', container)
else:
obj = umc_module_for_edit('users/user', user_dn)
if module.params['displayName'] is None:
module.params['displayName'] = '{0} {1}'.format(
module.params['firstname'],
module.params['lastname']
)
if module.params['unixhome'] is None:
module.params['unixhome'] = '/home/{0}'.format(
module.params['username']
)
for k in obj.keys():
if (k != 'password' and
k != 'groups' and
k != 'overridePWHistory' and
k in module.params and
module.params[k] is not None):
obj[k] = module.params[k]
# handle some special values
obj['e-mail'] = module.params['email']
password = module.params['password']
if obj['password'] is None:
obj['password'] = password
if module.params['update_password'] == 'always':
old_password = obj['password'].split('}', 2)[1]
if crypt.crypt(password, old_password) != old_password:
obj['overridePWHistory'] = module.params['overridePWHistory']
obj['overridePWLength'] = module.params['overridePWLength']
obj['password'] = password
diff = obj.diff()
if exists:
for k in obj.keys():
if obj.hasChanged(k):
changed = True
else:
changed = True
if not module.check_mode:
if not exists:
obj.create()
elif changed:
obj.modify()
except Exception:
module.fail_json(
msg="Creating/editing user {0} in {1} failed".format(
username,
container
)
)
try:
groups = module.params['groups']
if groups:
filter = '(&(objectClass=posixGroup)(|(cn={0})))'.format(
')(cn='.join(groups)
)
group_dns = list(ldap_search(filter, attr=['dn']))
for dn in group_dns:
grp = umc_module_for_edit('groups/group', dn[0])
if user_dn not in grp['users']:
grp['users'].append(user_dn)
if not module.check_mode:
grp.modify()
changed = True
except Exception:
module.fail_json(
msg="Adding groups to user {0} failed".format(username)
)
if state == 'absent' and exists:
try:
obj = umc_module_for_edit('users/user', user_dn)
if not module.check_mode:
obj.remove()
changed = True
except Exception:
module.fail_json(
msg="Removing user {0} failed".format(username)
)
module.exit_json(
changed=changed,
username=username,
diff=diff,
container=container
)
if __name__ == '__main__':
main()
|
gpl-3.0
|
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jalexvig/tensorflow
|
tensorflow/python/kernel_tests/matrix_inverse_op_test.py
|
43
|
7575
|
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for tensorflow.ops.math_ops.matrix_inverse."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from tensorflow.python.client import session
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import ops
from tensorflow.python.ops import control_flow_ops
from tensorflow.python.ops import linalg_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import random_ops
from tensorflow.python.ops import variables
from tensorflow.python.platform import test
class InverseOpTest(test.TestCase):
def _verifyInverse(self, x, np_type):
for adjoint in False, True:
y = x.astype(np_type)
with self.test_session(use_gpu=True):
# Verify that x^{-1} * x == Identity matrix.
inv = linalg_ops.matrix_inverse(y, adjoint=adjoint)
tf_ans = math_ops.matmul(inv, y, adjoint_b=adjoint)
np_ans = np.identity(y.shape[-1])
if x.ndim > 2:
tiling = list(y.shape)
tiling[-2:] = [1, 1]
np_ans = np.tile(np_ans, tiling)
out = tf_ans.eval()
self.assertAllClose(np_ans, out, rtol=1e-4, atol=1e-3)
self.assertShapeEqual(y, tf_ans)
def _verifyInverseReal(self, x):
for np_type in [np.float32, np.float64]:
self._verifyInverse(x, np_type)
def _verifyInverseComplex(self, x):
for np_type in [np.complex64, np.complex128]:
self._verifyInverse(x, np_type)
def _makeBatch(self, matrix1, matrix2):
matrix_batch = np.concatenate(
[np.expand_dims(matrix1, 0),
np.expand_dims(matrix2, 0)])
matrix_batch = np.tile(matrix_batch, [2, 3, 1, 1])
return matrix_batch
def testNonsymmetric(self):
# 2x2 matrices
matrix1 = np.array([[1., 2.], [3., 4.]])
matrix2 = np.array([[1., 3.], [3., 5.]])
self._verifyInverseReal(matrix1)
self._verifyInverseReal(matrix2)
# A multidimensional batch of 2x2 matrices
self._verifyInverseReal(self._makeBatch(matrix1, matrix2))
# Complex
matrix1 = matrix1.astype(np.complex64)
matrix1 += 1j * matrix1
matrix2 = matrix2.astype(np.complex64)
matrix2 += 1j * matrix2
self._verifyInverseComplex(matrix1)
self._verifyInverseComplex(matrix2)
# Complex batch
self._verifyInverseComplex(self._makeBatch(matrix1, matrix2))
def testSymmetricPositiveDefinite(self):
# 2x2 matrices
matrix1 = np.array([[2., 1.], [1., 2.]])
matrix2 = np.array([[3., -1.], [-1., 3.]])
self._verifyInverseReal(matrix1)
self._verifyInverseReal(matrix2)
# A multidimensional batch of 2x2 matrices
self._verifyInverseReal(self._makeBatch(matrix1, matrix2))
# Complex
matrix1 = matrix1.astype(np.complex64)
matrix1 += 1j * matrix1
matrix2 = matrix2.astype(np.complex64)
matrix2 += 1j * matrix2
self._verifyInverseComplex(matrix1)
self._verifyInverseComplex(matrix2)
# Complex batch
self._verifyInverseComplex(self._makeBatch(matrix1, matrix2))
def testNonSquareMatrix(self):
# When the inverse of a non-square matrix is attempted we should return
# an error
with self.assertRaises(ValueError):
linalg_ops.matrix_inverse(np.array([[1., 2., 3.], [3., 4., 5.]]))
def testWrongDimensions(self):
# The input to the inverse should be at least a 2-dimensional tensor.
tensor3 = constant_op.constant([1., 2.])
with self.assertRaises(ValueError):
linalg_ops.matrix_inverse(tensor3)
def testNotInvertible(self):
# The input should be invertible.
with self.test_session():
with self.assertRaisesOpError("Input is not invertible."):
# All rows of the matrix below add to zero.
tensor3 = constant_op.constant([[1., 0., -1.], [-1., 1., 0.],
[0., -1., 1.]])
linalg_ops.matrix_inverse(tensor3).eval()
def testEmpty(self):
self._verifyInverseReal(np.empty([0, 2, 2]))
self._verifyInverseReal(np.empty([2, 0, 0]))
def testRandomSmallAndLarge(self):
np.random.seed(42)
for dtype in np.float32, np.float64, np.complex64, np.complex128:
for batch_dims in [(), (1,), (3,), (2, 2)]:
for size in 8, 31, 32:
shape = batch_dims + (size, size)
matrix = np.random.uniform(
low=-1.0, high=1.0,
size=np.prod(shape)).reshape(shape).astype(dtype)
self._verifyInverseReal(matrix)
def testConcurrentExecutesWithoutError(self):
with self.test_session(use_gpu=True) as sess:
all_ops = []
for adjoint_ in True, False:
matrix1 = random_ops.random_normal([5, 5], seed=42)
matrix2 = random_ops.random_normal([5, 5], seed=42)
inv1 = linalg_ops.matrix_inverse(matrix1, adjoint=adjoint_)
inv2 = linalg_ops.matrix_inverse(matrix2, adjoint=adjoint_)
all_ops += [inv1, inv2]
inv = sess.run(all_ops)
self.assertAllEqual(inv[0], inv[1])
self.assertAllEqual(inv[2], inv[3])
class MatrixInverseBenchmark(test.Benchmark):
shapes = [
(4, 4),
(10, 10),
(16, 16),
(101, 101),
(256, 256),
(1000, 1000),
(1024, 1024),
(2048, 2048),
(513, 4, 4),
(513, 16, 16),
(513, 256, 256),
]
def _GenerateMatrix(self, shape):
batch_shape = shape[:-2]
shape = shape[-2:]
assert shape[0] == shape[1]
n = shape[0]
matrix = np.ones(shape).astype(np.float32) / (
2.0 * n) + np.diag(np.ones(n).astype(np.float32))
return variables.Variable(np.tile(matrix, batch_shape + (1, 1)))
def benchmarkMatrixInverseOp(self):
for adjoint in False, True:
for shape in self.shapes:
with ops.Graph().as_default(), \
session.Session() as sess, \
ops.device("/cpu:0"):
matrix = self._GenerateMatrix(shape)
inv = linalg_ops.matrix_inverse(matrix, adjoint=adjoint)
variables.global_variables_initializer().run()
self.run_op_benchmark(
sess,
control_flow_ops.group(inv),
min_iters=25,
name="matrix_inverse_cpu_{shape}_adjoint_{adjoint}".format(
shape=shape, adjoint=adjoint))
if test.is_gpu_available(True):
with ops.Graph().as_default(), \
session.Session() as sess, \
ops.device("/gpu:0"):
matrix = self._GenerateMatrix(shape)
inv = linalg_ops.matrix_inverse(matrix, adjoint=adjoint)
variables.global_variables_initializer().run()
self.run_op_benchmark(
sess,
control_flow_ops.group(inv),
min_iters=25,
name="matrix_inverse_gpu_{shape}_adjoint_{adjoint}".format(
shape=shape, adjoint=adjoint))
if __name__ == "__main__":
test.main()
|
apache-2.0
|
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billbrod/spatial-frequency-preferences
|
sfp/image_computable.py
|
1
|
6815
|
#!/usr/bin/python
"""code to help run the image-computable version of the model
we're using this primarily to check the effect of vignetting, but this does make our project
image-computable (though it's a linear model and so will fail in some trivial cases)
"""
import itertools
import argparse
import numpy as np
import pandas as pd
import pyrtools as pt
from scipy import interpolate
def upsample(signal, target_shape):
"""upsample a signal to target_shape
this uses scipy's interpolate.interp2d (and so will end up with a smoothed signal)
"""
x = np.linspace(-(signal.shape[0]-1)/2, (signal.shape[0]-1)/2, num=signal.shape[0])
y = np.linspace(-(signal.shape[1]-1)/2, (signal.shape[1]-1)/2, num=signal.shape[1])
f = interpolate.interp2d(x, y, signal)
x = np.linspace(-(signal.shape[0]-1)/2, (signal.shape[0]-1)/2, num=target_shape[0])
y = np.linspace(-(signal.shape[1]-1)/2, (signal.shape[1]-1)/2, num=target_shape[1])
return f(x,y)
def calc_energy_and_filters(stim, stim_df, n_orientations=6, save_path_template=None):
"""this creates the energy and filter arrays
We assume the stimuli have natural groups, here indexed by the "class_idx" column in stim_df,
and all stimuli within these groups should be considered the same stimuli, that is, we sum the
energy across all of them. for the spatial frequency project, these are the different phases of
the gratings (because of how we structure our experiment, we estimate a response amplitude to
all phases together).
Note that this will take a while to run (~10 or 20 minutes). Since it only needs to run once
per experiment, didn't bother to make it efficient at all. The outputs will also be very large,
totalling about 11GB
Parameters
----------
stim : np.ndarray
The stimuli to produce energy for. Should have shape (n, *img_size), where n is the number
of total stimuli.
stim_df : pd.DataFrame
The DataFrame describing the stimuli. Must contain the column "class_idx", which indexes
the different stimulus classes (see above)
n_orientations : int
the number of orientations in the steerable pyramid. 6 is the number used to model fMRI
voxels in Roth, Z. N., Heeger, D., & Merriam, E. (2018). Stimulus vignetting and
orientation selectivity in human visual cortex. bioRxiv.
save_path_template : str or None
the template string for the save path we'll use for energy and filters. should end in .npy
and contain one %s, which we'll replace with "energy" and "filters".
Returns
-------
energy : np.ndarray
energy has shape (stim_df.class_idx.nunique(), max_ht, n_orientations, *img_size) and
contains the energy (square and absolute value the complex valued output of
SteerablePyramidFreq; equivalently, square and sum the output of the quadrature pair of
filters that make up the pyramid) for each image, at each scale and orientation. the energy
has all been upsampled to the size of the initial image.
filters : np.ndarray
filters has shape (max_ht, n_orientations, *img_size) and is the fourier transform of the
filters at each scale and orientation, zero-padded so they all have the same size. we only
have one set of filters (instead of one per stimulus class) because the same pyramid was
used for each of them; we ensure this by getting the filters for each stimulus class and
checking that they're individually equal to the average across classes.
"""
img_size = stim.shape[1:]
# this computation comes from the SteerablePyramidFreq code
max_ht = int(np.floor(np.log2(min(img_size))) - 2)
energy = np.zeros((stim_df.class_idx.nunique(), max_ht, n_orientations, *img_size),
dtype=np.float32)
filters = np.zeros_like(energy)
for i, g in stim_df.groupby('class_idx'):
idx = g.index
filled_filters = False
for j in idx:
pyr = pt.pyramids.SteerablePyramidFreq(stim[j], order=n_orientations-1, is_complex=True)
for k, l in itertools.product(range(max_ht), range(n_orientations)):
energy[int(i), k, l, :, :] += upsample(np.abs(pyr.pyr_coeffs[(k, l)])**2, img_size)
# we only want to run this once per stimulus class
if not filled_filters:
if k > 0:
lomask = pyr._lomasks[k-1]
else:
lomask = pyr._lo0mask
filt = pyr._anglemasks[k][l] * pyr._himasks[k] * lomask
pad_num = []
for m in range(2):
pad_num.append([(img_size[m] - filt.shape[m])//2, (img_size[m] - filt.shape[m])//2])
if filt.shape[m] + 2*pad_num[m][0] != img_size[m]:
pad_num[m][0] += img_size[m] - (filt.shape[m] + 2*pad_num[m][0])
filters[int(i), k, l, :, :] = np.pad(filt, pad_num, 'constant', constant_values=0)
filled_filters = True
filter_mean = np.mean(filters, 0)
for i in range(filters.shape[0]):
if not(np.allclose(filter_mean, filters[i,:,:,:,:])):
raise Exception("Something has gone terribly wrong, the filters for stim class %d are different than the rest!" % i)
filters = filter_mean
if save_path_template is not None:
np.save(save_path_template % "energy", energy)
np.save(save_path_template % "filters", filters)
return energy, filters
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description=("Calculate and save the energy for each stimulus class, as well as the Fourier"
" transform of the filters of the steerable pyramid we use to get this. For "
"use with image-computable version of this model"),
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument("stimuli",
help=("Path to the stimulus .npy file."))
parser.add_argument("stimuli_description_df",
help=("Path to the stimulus description dataframe .csv file."))
parser.add_argument("save_path_template",
help=("Path template (with .npy extension) where we'll save the results. "
"Should contain one %s."))
parser.add_argument('--n_orientations', '-n', default=6, type=int,
help=("The number of orientations in the steerable pyramid used here."))
args = vars(parser.parse_args())
stim = np.load(args.pop('stimuli'))
stim_df = pd.read_csv(args.pop('stimuli_description_df'))
calc_energy_and_filters(stim, stim_df, **args)
|
mit
|
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ritchyteam/odoo
|
addons/point_of_sale/wizard/pos_confirm.py
|
343
|
2403
|
# -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>).
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
##############################################################################
from openerp.osv import osv
class pos_confirm(osv.osv_memory):
_name = 'pos.confirm'
_description = 'Post POS Journal Entries'
def action_confirm(self, cr, uid, ids, context=None):
order_obj = self.pool.get('pos.order')
ids = order_obj.search(cr, uid, [('state','=','paid')], context=context)
for order in order_obj.browse(cr, uid, ids, context=context):
todo = True
for line in order.statement_ids:
if line.statement_id.state != 'confirm':
todo = False
break
if todo:
order.signal_workflow('done')
# Check if there is orders to reconcile their invoices
ids = order_obj.search(cr, uid, [('state','=','invoiced'),('invoice_id.state','=','open')], context=context)
for order in order_obj.browse(cr, uid, ids, context=context):
invoice = order.invoice_id
data_lines = [x.id for x in invoice.move_id.line_id if x.account_id.id == invoice.account_id.id]
for st in order.statement_ids:
for move in st.move_ids:
data_lines += [x.id for x in move.line_id if x.account_id.id == invoice.account_id.id]
self.pool.get('account.move.line').reconcile(cr, uid, data_lines, context=context)
return {}
# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
|
agpl-3.0
|
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] |
Bysmyyr/chromium-crosswalk
|
content/test/gpu/gpu_tests/gpu_test_base.py
|
19
|
6203
|
# Copyright 2015 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import logging
from telemetry import benchmark as benchmark_module
from telemetry.page import page as page_module
from telemetry.page import page_test
from telemetry.page import shared_page_state as shared_page_state_module
from telemetry.testing import fakes
from gpu_tests import exception_formatter
from gpu_tests import gpu_test_expectations
class TestBase(benchmark_module.Benchmark):
"""Base classes for all GPU tests in this directory. Implements
support for per-page test expectations."""
def __init__(self, max_failures=None):
super(TestBase, self).__init__(max_failures=max_failures)
self._cached_expectations = None
def GetExpectations(self):
"""Returns the expectations that apply to this test."""
if not self._cached_expectations:
self._cached_expectations = self._CreateExpectations()
if not isinstance(self._cached_expectations,
gpu_test_expectations.GpuTestExpectations):
raise Exception('gpu_test_base requires use of GpuTestExpectations')
return self._cached_expectations
def _CreateExpectations(self):
# By default, creates an empty GpuTestExpectations object. Override
# this in subclasses to set up test-specific expectations. Must
# return an instance of GpuTestExpectations or a subclass.
#
# Do not call this directly. Call GetExpectations where necessary.
return gpu_test_expectations.GpuTestExpectations()
# Provides a single subclass of PageTest in case it's useful in the
# future.
class ValidatorBase(page_test.PageTest):
def __init__(self,
needs_browser_restart_after_each_page=False,
clear_cache_before_each_run=False):
super(ValidatorBase, self).__init__(
needs_browser_restart_after_each_page=\
needs_browser_restart_after_each_page,
clear_cache_before_each_run=clear_cache_before_each_run)
def ValidateAndMeasurePage(self, page, tab, result):
pass
def _CanRunOnBrowser(browser_info, page):
expectations = page.GetExpectations()
return expectations.GetExpectationForPage(
browser_info.browser, page) != 'skip'
def RunStoryWithRetries(cls, shared_page_state, results):
page = shared_page_state.current_page
expectations = page.GetExpectations()
expectation = 'pass'
if expectations:
expectation = expectations.GetExpectationForPage(
shared_page_state.browser, page)
if expectation == 'skip':
raise Exception(
'Skip expectations should have been handled in CanRunOnBrowser')
try:
super(cls, shared_page_state).RunStory(results)
except Exception:
if expectation == 'pass':
raise
elif expectation == 'fail':
msg = 'Expected exception while running %s' % page.display_name
exception_formatter.PrintFormattedException(msg=msg)
return
if expectation != 'flaky':
logging.warning(
'Unknown expectation %s while handling exception for %s',
expectation, page.display_name)
raise
# Flaky tests are handled here.
num_retries = expectations.GetFlakyRetriesForPage(
shared_page_state.browser, page)
if not num_retries:
# Re-raise the exception.
raise
# Re-run the test up to |num_retries| times.
for ii in xrange(0, num_retries):
print 'FLAKY TEST FAILURE, retrying: ' + page.display_name
try:
super(cls, shared_page_state).RunStory(results)
break
except Exception:
# Squelch any exceptions from any but the last retry.
if ii == num_retries - 1:
raise
else:
if expectation == 'fail':
logging.warning(
'%s was expected to fail, but passed.\n', page.display_name)
class GpuSharedPageState(shared_page_state_module.SharedPageState):
def CanRunOnBrowser(self, browser_info, page):
return _CanRunOnBrowser(browser_info, page)
def RunStory(self, results):
RunStoryWithRetries(GpuSharedPageState, self, results)
# TODO(kbr): re-evaluate the need for this SharedPageState
# subclass. It's only used by the WebGL conformance suite.
class DesktopGpuSharedPageState(
shared_page_state_module.SharedDesktopPageState):
def CanRunOnBrowser(self, browser_info, page):
return _CanRunOnBrowser(browser_info, page)
def RunStory(self, results):
RunStoryWithRetries(DesktopGpuSharedPageState, self, results)
class FakeGpuSharedPageState(fakes.FakeSharedPageState):
def CanRunOnBrowser(self, browser_info, page):
return _CanRunOnBrowser(browser_info, page)
def RunStory(self, results):
RunStoryWithRetries(FakeGpuSharedPageState, self, results)
class PageBase(page_module.Page):
# The convention is that pages subclassing this class must be
# configured with the test expectations.
def __init__(self, url, page_set=None, base_dir=None, name='',
shared_page_state_class=GpuSharedPageState,
make_javascript_deterministic=True,
expectations=None):
super(PageBase, self).__init__(
url=url, page_set=page_set, base_dir=base_dir, name=name,
shared_page_state_class=shared_page_state_class,
make_javascript_deterministic=make_javascript_deterministic)
# Disable automatic garbage collection to reduce the test's cycle time.
self._collect_garbage_before_run = False
# TODO(kbr): this is fragile -- if someone needs to independently
# derive a new independent SharedPageState subclass which handles
# skip expectations, this code will have to be updated.
assert issubclass(
shared_page_state_class,
(GpuSharedPageState,
DesktopGpuSharedPageState,
FakeGpuSharedPageState)), \
'shared_page_state_class must be one which handles skip expectations'
# TODO(kbr): this is fragile -- if someone changes the
# shared_page_state_class to something that doesn't handle skip
# expectations, then they'll hit the exception in
# RunStoryWithRetries, above. Need to rethink.
self._expectations = expectations
def GetExpectations(self):
return self._expectations
|
bsd-3-clause
|
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] |
GoogleCloudPlatform/python-compat-runtime
|
appengine-compat/exported_appengine_sdk/google/appengine/ext/mapreduce/api/map_job/map_job_control.py
|
10
|
7129
|
#!/usr/bin/env python
#
# Copyright 2007 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""User API for controlling Map job execution."""
from google.appengine.api import taskqueue
from google.appengine.datastore import datastore_rpc
from google.appengine.ext import db
from google.appengine.ext.mapreduce import model
from google.appengine.ext.mapreduce import util
from google.appengine.ext.mapreduce.api.map_job import map_job_config
class Job(object):
"""The job submitter's view of the job.
The class allows user to submit a job, control a submitted job,
query its state and result.
"""
RUNNING = "running"
FAILED = model.MapreduceState.RESULT_FAILED
ABORTED = model.MapreduceState.RESULT_ABORTED
SUCCESS = model.MapreduceState.RESULT_SUCCESS
STATUS_ENUM = [RUNNING, FAILED, ABORTED, SUCCESS]
def __init__(self, state=None):
"""Init the job instance representing the job with id job_id.
Do not directly call this method. Use class methods to construct
new instances.
Args:
state: model.MapreduceState.
"""
self._state = state
self.job_config = map_job_config.JobConfig._to_map_job_config(
state.mapreduce_spec,
queue_name=state.mapreduce_spec.params.get("queue_name"))
@classmethod
def get_job_by_id(cls, job_id=None):
"""Gets the job instance representing the job with id job_id.
Args:
job_id: a job id, job_config.job_id, of a submitted job.
Returns:
A Job instance for job_id.
"""
state = cls.__get_state_by_id(job_id)
return cls(state)
def get_status(self):
"""Get status enum.
Returns:
One of the status enum.
"""
self.__update_state()
if self._state.active:
return self.RUNNING
else:
return self._state.result_status
def abort(self):
"""Aborts the job."""
model.MapreduceControl.abort(self.job_config.job_id)
def get_counters(self):
"""Get counters from this job.
When a job is running, counter values won't be very accurate.
Returns:
An iterator that returns (counter_name, value) pairs of type
(basestring, int)
"""
self.__update_state()
return self._state.counters_map.counters.iteritems()
def get_counter(self, counter_name, default=0):
"""Get the value of the named counter from this job.
When a job is running, counter values won't be very accurate.
Args:
counter_name: name of the counter in string.
default: default value if the counter doesn't exist.
Returns:
Value in int of the named counter.
"""
self.__update_state()
return self._state.counters_map.get(counter_name, default)
def get_outputs(self):
"""Get outputs of this job.
Should only call if status is SUCCESS.
Yields:
Iterators, one for each shard. Each iterator is
from the argument of map_job.output_writer.commit_output.
"""
assert self.SUCCESS == self.get_status()
ss = model.ShardState.find_all_by_mapreduce_state(self._state)
for s in ss:
yield iter(s.writer_state.get("outs", []))
@classmethod
def submit(cls, job_config, in_xg_transaction=False):
"""Submit the job to run.
Args:
job_config: an instance of map_job.MapJobConfig.
in_xg_transaction: controls what transaction scope to use to start this MR
job. If True, there has to be an already opened cross-group transaction
scope. MR will use one entity group from it.
If False, MR will create an independent transaction to start the job
regardless of any existing transaction scopes.
Returns:
a Job instance representing the submitted job.
"""
cls.__validate_job_config(job_config)
mapper_spec = job_config._get_mapper_spec()
mapreduce_params = job_config._get_mr_params()
mapreduce_spec = model.MapreduceSpec(
job_config.job_name,
job_config.job_id,
mapper_spec.to_json(),
mapreduce_params,
util._obj_to_path(job_config._hooks_cls))
if in_xg_transaction:
propagation = db.MANDATORY
else:
propagation = db.INDEPENDENT
state = None
@db.transactional(propagation=propagation)
def _txn():
state = cls.__create_and_save_state(job_config, mapreduce_spec)
cls.__add_kickoff_task(job_config, mapreduce_spec)
return state
state = _txn()
return cls(state)
def __update_state(self):
"""Fetches most up to date state from db."""
if self._state.active:
self._state = self.__get_state_by_id(self.job_config.job_id)
@classmethod
def __get_state_by_id(cls, job_id):
"""Get job state by id.
Args:
job_id: job id.
Returns:
model.MapreduceState for the job.
Raises:
ValueError: if the job state is missing.
"""
state = model.MapreduceState.get_by_job_id(job_id)
if state is None:
raise ValueError("Job state for job %s is missing." % job_id)
return state
@classmethod
def __validate_job_config(cls, job_config):
job_config.input_reader_cls.validate(job_config)
if job_config.output_writer_cls:
job_config.output_writer_cls.validate(job_config._get_mapper_spec())
@classmethod
def __create_and_save_state(cls, job_config, mapreduce_spec):
"""Save map job state to datastore.
Save state to datastore so that UI can see it immediately.
Args:
job_config: map_job.JobConfig.
mapreduce_spec: model.MapreduceSpec.
Returns:
model.MapreduceState for this job.
"""
state = model.MapreduceState.create_new(job_config.job_id)
state.mapreduce_spec = mapreduce_spec
state.active = True
state.active_shards = 0
state.app_id = job_config._app
config = datastore_rpc.Configuration(force_writes=job_config._force_writes)
state.put(config=config)
return state
@classmethod
def __add_kickoff_task(cls, job_config, mapreduce_spec):
"""Add kickoff task to taskqueue.
Args:
job_config: map_job.JobConfig.
mapreduce_spec: model.MapreduceSpec,
"""
params = {"mapreduce_id": job_config.job_id}
kickoff_task = taskqueue.Task(
url=job_config._base_path + "/kickoffjob_callback/" + job_config.job_id,
headers=util._get_task_headers(job_config.job_id),
params=params)
if job_config._hooks_cls:
hooks = job_config._hooks_cls(mapreduce_spec)
try:
hooks.enqueue_kickoff_task(kickoff_task, job_config.queue_name)
return
except NotImplementedError:
pass
kickoff_task.add(job_config.queue_name, transactional=True)
|
apache-2.0
|
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msabramo/kallithea
|
kallithea/lib/dbmigrate/versions/010_version_1_5_2.py
|
2
|
1491
|
import logging
from sqlalchemy import *
from kallithea.lib.dbmigrate.migrate import *
from kallithea.lib.dbmigrate.migrate.changeset import *
from kallithea.model import meta
from kallithea.lib.dbmigrate.versions import _reset_base, notify
log = logging.getLogger(__name__)
def upgrade(migrate_engine):
"""
Upgrade operations go here.
Don't create your own engine; bind migrate_engine to your metadata
"""
_reset_base(migrate_engine)
from kallithea.lib.dbmigrate.schema import db_1_5_2
#==========================================================================
# USER LOGS
#==========================================================================
tbl = db_1_5_2.UserIpMap.__table__
tbl.create()
#==========================================================================
# REPOSITORIES
#==========================================================================
tbl = db_1_5_2.Repository.__table__
changeset_cache = Column("changeset_cache", LargeBinary(), nullable=True)
# create username column
changeset_cache.create(table=tbl)
# issue fixups
fixups(db_1_5_2, meta.Session)
def downgrade(migrate_engine):
meta = MetaData()
meta.bind = migrate_engine
def fixups(models, _SESSION):
notify('Upgrading repositories Caches')
repositories = models.Repository.getAll()
for repo in repositories:
print repo
repo.update_changeset_cache()
_SESSION().commit()
|
gpl-3.0
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flyfei/python-for-android
|
python-build/python-libs/gdata/build/lib/gdata/spreadsheet/__init__.py
|
147
|
17942
|
#!/usr/bin/python
#
# Copyright (C) 2007 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Contains extensions to Atom objects used with Google Spreadsheets.
"""
__author__ = 'api.laurabeth@gmail.com (Laura Beth Lincoln)'
try:
from xml.etree import cElementTree as ElementTree
except ImportError:
try:
import cElementTree as ElementTree
except ImportError:
try:
from xml.etree import ElementTree
except ImportError:
from elementtree import ElementTree
import atom
import gdata
import re
import string
# XML namespaces which are often used in Google Spreadsheets entities.
GSPREADSHEETS_NAMESPACE = 'http://schemas.google.com/spreadsheets/2006'
GSPREADSHEETS_TEMPLATE = '{http://schemas.google.com/spreadsheets/2006}%s'
GSPREADSHEETS_EXTENDED_NAMESPACE = ('http://schemas.google.com/spreadsheets'
'/2006/extended')
GSPREADSHEETS_EXTENDED_TEMPLATE = ('{http://schemas.google.com/spreadsheets'
'/2006/extended}%s')
class ColCount(atom.AtomBase):
"""The Google Spreadsheets colCount element """
_tag = 'colCount'
_namespace = GSPREADSHEETS_NAMESPACE
_children = atom.AtomBase._children.copy()
_attributes = atom.AtomBase._attributes.copy()
def __init__(self, text=None, extension_elements=None,
extension_attributes=None):
self.text = text
self.extension_elements = extension_elements or []
self.extension_attributes = extension_attributes or {}
def ColCountFromString(xml_string):
return atom.CreateClassFromXMLString(ColCount, xml_string)
class RowCount(atom.AtomBase):
"""The Google Spreadsheets rowCount element """
_tag = 'rowCount'
_namespace = GSPREADSHEETS_NAMESPACE
_children = atom.AtomBase._children.copy()
_attributes = atom.AtomBase._attributes.copy()
def __init__(self, text=None, extension_elements=None,
extension_attributes=None):
self.text = text
self.extension_elements = extension_elements or []
self.extension_attributes = extension_attributes or {}
def RowCountFromString(xml_string):
return atom.CreateClassFromXMLString(RowCount, xml_string)
class Cell(atom.AtomBase):
"""The Google Spreadsheets cell element """
_tag = 'cell'
_namespace = GSPREADSHEETS_NAMESPACE
_children = atom.AtomBase._children.copy()
_attributes = atom.AtomBase._attributes.copy()
_attributes['row'] = 'row'
_attributes['col'] = 'col'
_attributes['inputValue'] = 'inputValue'
_attributes['numericValue'] = 'numericValue'
def __init__(self, text=None, row=None, col=None, inputValue=None,
numericValue=None, extension_elements=None, extension_attributes=None):
self.text = text
self.row = row
self.col = col
self.inputValue = inputValue
self.numericValue = numericValue
self.extension_elements = extension_elements or []
self.extension_attributes = extension_attributes or {}
def CellFromString(xml_string):
return atom.CreateClassFromXMLString(Cell, xml_string)
class Custom(atom.AtomBase):
"""The Google Spreadsheets custom element"""
_namespace = GSPREADSHEETS_EXTENDED_NAMESPACE
_children = atom.AtomBase._children.copy()
_attributes = atom.AtomBase._attributes.copy()
def __init__(self, column=None, text=None, extension_elements=None,
extension_attributes=None):
self.column = column # The name of the column
self.text = text
self.extension_elements = extension_elements or []
self.extension_attributes = extension_attributes or {}
def _BecomeChildElement(self, tree):
new_child = ElementTree.Element('')
tree.append(new_child)
new_child.tag = '{%s}%s' % (self.__class__._namespace,
self.column)
self._AddMembersToElementTree(new_child)
def _ToElementTree(self):
new_tree = ElementTree.Element('{%s}%s' % (self.__class__._namespace,
self.column))
self._AddMembersToElementTree(new_tree)
return new_tree
def _HarvestElementTree(self, tree):
namespace_uri, local_tag = string.split(tree.tag[1:], "}", 1)
self.column = local_tag
# Fill in the instance members from the contents of the XML tree.
for child in tree:
self._ConvertElementTreeToMember(child)
for attribute, value in tree.attrib.iteritems():
self._ConvertElementAttributeToMember(attribute, value)
self.text = tree.text
def CustomFromString(xml_string):
element_tree = ElementTree.fromstring(xml_string)
return _CustomFromElementTree(element_tree)
def _CustomFromElementTree(element_tree):
namespace_uri, local_tag = string.split(element_tree.tag[1:], "}", 1)
if namespace_uri == GSPREADSHEETS_EXTENDED_NAMESPACE:
new_custom = Custom()
new_custom._HarvestElementTree(element_tree)
new_custom.column = local_tag
return new_custom
return None
class SpreadsheetsSpreadsheet(gdata.GDataEntry):
"""A Google Spreadsheets flavor of a Spreadsheet Atom Entry """
_tag = 'entry'
_namespace = atom.ATOM_NAMESPACE
_children = gdata.GDataEntry._children.copy()
_attributes = gdata.GDataEntry._attributes.copy()
def __init__(self, author=None, category=None, content=None,
contributor=None, atom_id=None, link=None, published=None, rights=None,
source=None, summary=None, title=None, control=None, updated=None,
text=None, extension_elements=None, extension_attributes=None):
self.author = author or []
self.category = category or []
self.content = content
self.contributor = contributor or []
self.id = atom_id
self.link = link or []
self.published = published
self.rights = rights
self.source = source
self.summary = summary
self.control = control
self.title = title
self.updated = updated
self.text = text
self.extension_elements = extension_elements or []
self.extension_attributes = extension_attributes or {}
def SpreadsheetsSpreadsheetFromString(xml_string):
return atom.CreateClassFromXMLString(SpreadsheetsSpreadsheet,
xml_string)
class SpreadsheetsWorksheet(gdata.GDataEntry):
"""A Google Spreadsheets flavor of a Worksheet Atom Entry """
_tag = 'entry'
_namespace = atom.ATOM_NAMESPACE
_children = gdata.GDataEntry._children.copy()
_attributes = gdata.GDataEntry._attributes.copy()
_children['{%s}rowCount' % GSPREADSHEETS_NAMESPACE] = ('row_count',
RowCount)
_children['{%s}colCount' % GSPREADSHEETS_NAMESPACE] = ('col_count',
ColCount)
def __init__(self, author=None, category=None, content=None,
contributor=None, atom_id=None, link=None, published=None, rights=None,
source=None, summary=None, title=None, control=None, updated=None,
row_count=None, col_count=None, text=None, extension_elements=None,
extension_attributes=None):
self.author = author or []
self.category = category or []
self.content = content
self.contributor = contributor or []
self.id = atom_id
self.link = link or []
self.published = published
self.rights = rights
self.source = source
self.summary = summary
self.control = control
self.title = title
self.updated = updated
self.row_count = row_count
self.col_count = col_count
self.text = text
self.extension_elements = extension_elements or []
self.extension_attributes = extension_attributes or {}
def SpreadsheetsWorksheetFromString(xml_string):
return atom.CreateClassFromXMLString(SpreadsheetsWorksheet,
xml_string)
class SpreadsheetsCell(gdata.BatchEntry):
"""A Google Spreadsheets flavor of a Cell Atom Entry """
_tag = 'entry'
_namespace = atom.ATOM_NAMESPACE
_children = gdata.BatchEntry._children.copy()
_attributes = gdata.BatchEntry._attributes.copy()
_children['{%s}cell' % GSPREADSHEETS_NAMESPACE] = ('cell', Cell)
def __init__(self, author=None, category=None, content=None,
contributor=None, atom_id=None, link=None, published=None, rights=None,
source=None, summary=None, title=None, control=None, updated=None,
cell=None, batch_operation=None, batch_id=None, batch_status=None,
text=None, extension_elements=None, extension_attributes=None):
self.author = author or []
self.category = category or []
self.content = content
self.contributor = contributor or []
self.id = atom_id
self.link = link or []
self.published = published
self.rights = rights
self.source = source
self.summary = summary
self.control = control
self.title = title
self.batch_operation = batch_operation
self.batch_id = batch_id
self.batch_status = batch_status
self.updated = updated
self.cell = cell
self.text = text
self.extension_elements = extension_elements or []
self.extension_attributes = extension_attributes or {}
def SpreadsheetsCellFromString(xml_string):
return atom.CreateClassFromXMLString(SpreadsheetsCell,
xml_string)
class SpreadsheetsList(gdata.GDataEntry):
"""A Google Spreadsheets flavor of a List Atom Entry """
_tag = 'entry'
_namespace = atom.ATOM_NAMESPACE
_children = gdata.GDataEntry._children.copy()
_attributes = gdata.GDataEntry._attributes.copy()
def __init__(self, author=None, category=None, content=None,
contributor=None, atom_id=None, link=None, published=None, rights=None,
source=None, summary=None, title=None, control=None, updated=None,
custom=None,
text=None, extension_elements=None, extension_attributes=None):
self.author = author or []
self.category = category or []
self.content = content
self.contributor = contributor or []
self.id = atom_id
self.link = link or []
self.published = published
self.rights = rights
self.source = source
self.summary = summary
self.control = control
self.title = title
self.updated = updated
self.custom = custom or {}
self.text = text
self.extension_elements = extension_elements or []
self.extension_attributes = extension_attributes or {}
# We need to overwrite _ConvertElementTreeToMember to add special logic to
# convert custom attributes to members
def _ConvertElementTreeToMember(self, child_tree):
# Find the element's tag in this class's list of child members
if self.__class__._children.has_key(child_tree.tag):
member_name = self.__class__._children[child_tree.tag][0]
member_class = self.__class__._children[child_tree.tag][1]
# If the class member is supposed to contain a list, make sure the
# matching member is set to a list, then append the new member
# instance to the list.
if isinstance(member_class, list):
if getattr(self, member_name) is None:
setattr(self, member_name, [])
getattr(self, member_name).append(atom._CreateClassFromElementTree(
member_class[0], child_tree))
else:
setattr(self, member_name,
atom._CreateClassFromElementTree(member_class, child_tree))
elif child_tree.tag.find('{%s}' % GSPREADSHEETS_EXTENDED_NAMESPACE) == 0:
# If this is in the custom namespace, make add it to the custom dict.
name = child_tree.tag[child_tree.tag.index('}')+1:]
custom = _CustomFromElementTree(child_tree)
if custom:
self.custom[name] = custom
else:
ExtensionContainer._ConvertElementTreeToMember(self, child_tree)
# We need to overwtite _AddMembersToElementTree to add special logic to
# convert custom members to XML nodes.
def _AddMembersToElementTree(self, tree):
# Convert the members of this class which are XML child nodes.
# This uses the class's _children dictionary to find the members which
# should become XML child nodes.
member_node_names = [values[0] for tag, values in
self.__class__._children.iteritems()]
for member_name in member_node_names:
member = getattr(self, member_name)
if member is None:
pass
elif isinstance(member, list):
for instance in member:
instance._BecomeChildElement(tree)
else:
member._BecomeChildElement(tree)
# Convert the members of this class which are XML attributes.
for xml_attribute, member_name in self.__class__._attributes.iteritems():
member = getattr(self, member_name)
if member is not None:
tree.attrib[xml_attribute] = member
# Convert all special custom item attributes to nodes
for name, custom in self.custom.iteritems():
custom._BecomeChildElement(tree)
# Lastly, call the ExtensionContainers's _AddMembersToElementTree to
# convert any extension attributes.
atom.ExtensionContainer._AddMembersToElementTree(self, tree)
def SpreadsheetsListFromString(xml_string):
return atom.CreateClassFromXMLString(SpreadsheetsList,
xml_string)
element_tree = ElementTree.fromstring(xml_string)
return _SpreadsheetsListFromElementTree(element_tree)
class SpreadsheetsSpreadsheetsFeed(gdata.GDataFeed):
"""A feed containing Google Spreadsheets Spreadsheets"""
_tag = 'feed'
_namespace = atom.ATOM_NAMESPACE
_children = gdata.GDataFeed._children.copy()
_attributes = gdata.GDataFeed._attributes.copy()
_children['{%s}entry' % atom.ATOM_NAMESPACE] = ('entry',
[SpreadsheetsSpreadsheet])
def SpreadsheetsSpreadsheetsFeedFromString(xml_string):
return atom.CreateClassFromXMLString(SpreadsheetsSpreadsheetsFeed,
xml_string)
class SpreadsheetsWorksheetsFeed(gdata.GDataFeed):
"""A feed containing Google Spreadsheets Spreadsheets"""
_tag = 'feed'
_namespace = atom.ATOM_NAMESPACE
_children = gdata.GDataFeed._children.copy()
_attributes = gdata.GDataFeed._attributes.copy()
_children['{%s}entry' % atom.ATOM_NAMESPACE] = ('entry',
[SpreadsheetsWorksheet])
def SpreadsheetsWorksheetsFeedFromString(xml_string):
return atom.CreateClassFromXMLString(SpreadsheetsWorksheetsFeed,
xml_string)
class SpreadsheetsCellsFeed(gdata.BatchFeed):
"""A feed containing Google Spreadsheets Cells"""
_tag = 'feed'
_namespace = atom.ATOM_NAMESPACE
_children = gdata.BatchFeed._children.copy()
_attributes = gdata.BatchFeed._attributes.copy()
_children['{%s}entry' % atom.ATOM_NAMESPACE] = ('entry',
[SpreadsheetsCell])
_children['{%s}rowCount' % GSPREADSHEETS_NAMESPACE] = ('row_count',
RowCount)
_children['{%s}colCount' % GSPREADSHEETS_NAMESPACE] = ('col_count',
ColCount)
def __init__(self, author=None, category=None, contributor=None,
generator=None, icon=None, atom_id=None, link=None, logo=None,
rights=None, subtitle=None, title=None, updated=None,
entry=None, total_results=None, start_index=None,
items_per_page=None, extension_elements=None,
extension_attributes=None, text=None, row_count=None,
col_count=None, interrupted=None):
gdata.BatchFeed.__init__(self, author=author, category=category,
contributor=contributor, generator=generator,
icon=icon, atom_id=atom_id, link=link,
logo=logo, rights=rights, subtitle=subtitle,
title=title, updated=updated, entry=entry,
total_results=total_results,
start_index=start_index,
items_per_page=items_per_page,
extension_elements=extension_elements,
extension_attributes=extension_attributes,
text=text, interrupted=interrupted)
self.row_count = row_count
self.col_count = col_count
def GetBatchLink(self):
for link in self.link:
if link.rel == 'http://schemas.google.com/g/2005#batch':
return link
return None
def SpreadsheetsCellsFeedFromString(xml_string):
return atom.CreateClassFromXMLString(SpreadsheetsCellsFeed,
xml_string)
class SpreadsheetsListFeed(gdata.GDataFeed):
"""A feed containing Google Spreadsheets Spreadsheets"""
_tag = 'feed'
_namespace = atom.ATOM_NAMESPACE
_children = gdata.GDataFeed._children.copy()
_attributes = gdata.GDataFeed._attributes.copy()
_children['{%s}entry' % atom.ATOM_NAMESPACE] = ('entry',
[SpreadsheetsList])
def SpreadsheetsListFeedFromString(xml_string):
return atom.CreateClassFromXMLString(SpreadsheetsListFeed,
xml_string)
|
apache-2.0
|
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ProjectQ-Framework/ProjectQ
|
projectq/meta/_loop.py
|
1
|
9774
|
# -*- coding: utf-8 -*-
# Copyright 2017 ProjectQ-Framework (www.projectq.ch)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Tools to implement loops.
Example:
.. code-block:: python
with Loop(eng, 4):
H | qb
Rz(M_PI/3.) | qb
"""
from copy import deepcopy
from projectq.cengines import BasicEngine
from projectq.ops import Allocate, Deallocate
from ._util import insert_engine, drop_engine_after
class QubitManagementError(Exception):
"""Exception raised when the lifetime of a qubit is problematic within a loop"""
class LoopTag:
"""
Loop meta tag
"""
def __init__(self, num):
self.num = num
self.id = LoopTag.loop_tag_id
LoopTag.loop_tag_id += 1
def __eq__(self, other):
return isinstance(other, LoopTag) and self.id == other.id and self.num == other.num
def __ne__(self, other):
return not self.__eq__(other)
loop_tag_id = 0
class LoopEngine(BasicEngine):
"""
Stores all commands and, when done, executes them num times if no loop tag
handler engine is available.
If there is one, it adds a loop_tag to the commands and sends them on.
"""
def __init__(self, num):
"""
Initialize a LoopEngine.
Args:
num (int): Number of loop iterations.
"""
BasicEngine.__init__(self)
self._tag = LoopTag(num)
self._cmd_list = []
self._allocated_qubit_ids = set()
self._deallocated_qubit_ids = set()
# key: qubit id of a local qubit, i.e. a qubit which has been allocated
# and deallocated within the loop body.
# value: list contain reference to each weakref qubit with this qubit
# id either within control_qubits or qubits.
self._refs_to_local_qb = dict()
self._next_engines_support_loop_tag = False
def run(self):
"""
Apply the loop statements to all stored commands.
Unrolls the loop if LoopTag is not supported by any of the following
engines, i.e., if
.. code-block:: python
is_meta_tag_supported(next_engine, LoopTag) == False
"""
error_message = (
"\n Error. Qubits have been allocated in with "
"Loop(eng, num) context,\n which have not "
"explicitely been deallocated in the Loop context.\n"
"Correct usage:\nwith Loop(eng, 5):\n"
" qubit = eng.allocate_qubit()\n"
" ...\n"
" del qubit[0]\n"
)
if not self._next_engines_support_loop_tag: # pylint: disable=too-many-nested-blocks
# Unroll the loop
# Check that local qubits have been deallocated:
if self._deallocated_qubit_ids != self._allocated_qubit_ids:
raise QubitManagementError(error_message)
if len(self._allocated_qubit_ids) == 0:
# No local qubits, just send the circuit num times
for i in range(self._tag.num):
self.send(deepcopy(self._cmd_list))
else:
# Ancilla qubits have been allocated in loop body
# For each iteration, allocate and deallocate a new qubit and
# replace the qubit id in all commands using it.
for i in range(self._tag.num):
if i == 0: # Don't change local qubit ids
self.send(deepcopy(self._cmd_list))
else:
# Change local qubit ids before sending them
for refs_loc_qubit in self._refs_to_local_qb.values():
new_qb_id = self.main_engine.get_new_qubit_id()
for qubit_ref in refs_loc_qubit:
qubit_ref.id = new_qb_id
self.send(deepcopy(self._cmd_list))
else:
# Next engines support loop tag so no unrolling needed only
# check that all qubits have been deallocated which have been
# allocated in the loop body
if self._deallocated_qubit_ids != self._allocated_qubit_ids:
raise QubitManagementError(error_message)
def receive(self, command_list): # pylint: disable=too-many-branches
"""
Receive (and potentially temporarily store) all commands.
Add LoopTag to all receiving commands and send to the next engine if
a further engine is a LoopTag-handling engine. Otherwise store all
commands (to later unroll them). Check that within the loop body,
all allocated qubits have also been deallocated. If loop needs to be
unrolled and ancilla qubits have been allocated within the loop body,
then store a reference all these qubit ids (to change them when
unrolling the loop)
Args:
command_list (list<Command>): List of commands to store and later
unroll or, if there is a LoopTag-handling engine, add the
LoopTag.
"""
# pylint: disable=too-many-nested-blocks
if self._next_engines_support_loop_tag or self.next_engine.is_meta_tag_supported(LoopTag):
# Loop tag is supported, send everything with a LoopTag
# Don't check is_meta_tag_supported anymore
self._next_engines_support_loop_tag = True
if self._tag.num == 0:
return
for cmd in command_list:
if cmd.gate == Allocate:
self._allocated_qubit_ids.add(cmd.qubits[0][0].id)
elif cmd.gate == Deallocate:
self._deallocated_qubit_ids.add(cmd.qubits[0][0].id)
cmd.tags.append(self._tag)
self.send([cmd])
else:
# LoopTag is not supported, save the full loop body
self._cmd_list += command_list
# Check for all local qubits allocated and deallocated in loop body
for cmd in command_list:
if cmd.gate == Allocate:
self._allocated_qubit_ids.add(cmd.qubits[0][0].id)
# Save reference to this local qubit
self._refs_to_local_qb[cmd.qubits[0][0].id] = [cmd.qubits[0][0]]
elif cmd.gate == Deallocate:
self._deallocated_qubit_ids.add(cmd.qubits[0][0].id)
# Save reference to this local qubit
self._refs_to_local_qb[cmd.qubits[0][0].id].append(cmd.qubits[0][0])
else:
# Add a reference to each place a local qubit id is
# used as within either control_qubit or qubits
for control_qubit in cmd.control_qubits:
if control_qubit.id in self._allocated_qubit_ids:
self._refs_to_local_qb[control_qubit.id].append(control_qubit)
for qureg in cmd.qubits:
for qubit in qureg:
if qubit.id in self._allocated_qubit_ids:
self._refs_to_local_qb[qubit.id].append(qubit)
class Loop:
"""
Loop n times over an entire code block.
Example:
.. code-block:: python
with Loop(eng, 4):
# [quantum gates to be executed 4 times]
Warning:
If the code in the loop contains allocation of qubits, those qubits have to be deleted prior to exiting the
'with Loop()' context.
This code is **NOT VALID**:
.. code-block:: python
with Loop(eng, 4):
qb = eng.allocate_qubit()
H | qb # qb is still available!!!
The **correct way** of handling qubit (de-)allocation is as follows:
.. code-block:: python
with Loop(eng, 4):
qb = eng.allocate_qubit()
...
del qb # sends deallocate gate
"""
def __init__(self, engine, num):
"""
Enter a looped section.
Args:
engine: Engine handling the commands (usually MainEngine)
num (int): Number of loop iterations
Example:
.. code-block:: python
with Loop(eng, 4):
H | qb
Rz(M_PI/3.) | qb
Raises:
TypeError: If number of iterations (num) is not an integer
ValueError: If number of iterations (num) is not >= 0
"""
self.engine = engine
if not isinstance(num, int):
raise TypeError("Number of loop iterations must be an int.")
if num < 0:
raise ValueError("Number of loop iterations must be >=0.")
self.num = num
self._loop_eng = None
def __enter__(self):
if self.num != 1:
self._loop_eng = LoopEngine(self.num)
insert_engine(self.engine, self._loop_eng)
def __exit__(self, exc_type, exc_value, exc_traceback):
if self.num != 1:
# remove loop handler from engine list (i.e. skip it)
self._loop_eng.run()
self._loop_eng = None
drop_engine_after(self.engine)
|
apache-2.0
|
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[
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Zsailer/epistasis
|
epistasis/models/nonlinear/minimizer.py
|
2
|
3564
|
import inspect
import lmfit
from lmfit import Parameter, Parameters
from abc import ABC, abstractmethod
# ---------------------- Abstract Minimizer class -------------------------
class Minimizer(ABC):
"""Abstract Base Class for function minimizers.
Wraps a function. Fits data using the function. Then, that fitted function
can be used to transform data.
"""
def __init__(self, function, **p0):
pass
@abstractmethod
def function(self, x, **params):
"""Execute function given parameters.
"""
@abstractmethod
def predict(self, x):
"""Predict y, given x, from the fitted model.
"""
@abstractmethod
def transform(self, x, y):
"""Method that transforms y onto the x scale using the minimized fit.
"""
@abstractmethod
def fit(self, x, y):
"""Fit the x, y data using the function. Store fit.
"""
# ---------------------- Abstract Minimizer class -------------------------
class FunctionMinimizer(Minimizer):
"""Minimizer object that fits data using a function.
"""
def __init__(self, function, **p0):
# Do some inspection to get the parameters from the nonlinear
# function argument list.
func_signature = inspect.signature(function)
func_params = list(func_signature.parameters.keys())
if func_params[0] != "x":
raise Exception("First argument of the nonlinear function must "
"be `x`.")
# Construct lmfit parameters object
self.parameters = Parameters()
for p in func_params[1:]:
# Get starting value of parameter if given.
val = None
if p in p0:
val = p0[p]
# Add parameter.
self.parameters.add(name=p, value=val)
# Set function
self._function = function
def function(self, x, *args, **kwargs):
"""Execute the function."""
return self._function(x, *args, **kwargs)
def predict(self, x):
"""Call function"""
return self._function(x, **self.parameters)
def transform(self, x, y):
"""Transform y onto the x scale."""
ymodel = self.predict(x)
return (y - ymodel) + x
def fit(self, x, y):
"""Fit the function"""
# Store residual steps in case fit fails.
last_residual_set = None
# Residual function to minimize.
def residual(params, func, x, y=None):
# Fit model
parvals = list(params.values())
ymodel = func(x, *parvals)
# Store items in case of error.
nonlocal last_residual_set
last_residual_set = (params, ymodel)
return y - ymodel
# Minimize the above residual function.
try:
self.minimizer = lmfit.minimize(
residual,
self.parameters,
args=[self._function, x],
kws={'y': y})
# Point to nonlinear.
self.parameters = self.minimizer.params
# If fitting fails, print what happened
except Exception as e:
# if e is ValueError
print("ERROR! Some of the transformed phenotypes are invalid.")
print("\nParameters:")
print("----------")
print(last_residual_set[0].pretty_print())
print("\nTransformed phenotypes:")
print("----------------------")
print(last_residual_set[1])
raise e
|
unlicense
|
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