repo_name
stringlengths 5
100
| path
stringlengths 4
375
| copies
stringclasses 991
values | size
stringlengths 4
7
| content
stringlengths 666
1M
| license
stringclasses 15
values |
|---|---|---|---|---|---|
landryb/QGIS | python/plugins/processing/algs/exampleprovider/ProcessingExampleProviderPlugin.py | 26 | 1655 | # -*- coding: utf-8 -*-
"""
***************************************************************************
__init__.py
---------------------
Date : July 2013
Copyright : (C) 2013 by Victor Olaya
Email : volayaf at gmail dot 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 2 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************
"""
__author__ = 'Victor Olaya'
__date__ = 'July 2013'
__copyright__ = '(C) 2013, Victor Olaya'
# This will get replaced with a git SHA1 when you do a git archive
__revision__ = '$Format:%H$'
import os
import sys
import inspect
from processing.core.Processing import Processing
from exampleprovider.ExampleAlgorithmProvider import ExampleAlgorithmProvider
cmd_folder = os.path.split(inspect.getfile(inspect.currentframe()))[0]
if cmd_folder not in sys.path:
sys.path.insert(0, cmd_folder)
class ProcessingExampleProviderPlugin:
def __init__(self):
self.provider = ExampleAlgorithmProvider()
def initGui(self):
Processing.addProvider(self.provider)
def unload(self):
Processing.removeProvider(self.provider)
| gpl-2.0 |
MalloyPower/parsing-python | front-end/testsuite-python-lib/Python-2.6/Lib/curses/has_key.py | 81 | 5633 |
#
# Emulation of has_key() function for platforms that don't use ncurses
#
import _curses
# Table mapping curses keys to the terminfo capability name
_capability_names = {
_curses.KEY_A1: 'ka1',
_curses.KEY_A3: 'ka3',
_curses.KEY_B2: 'kb2',
_curses.KEY_BACKSPACE: 'kbs',
_curses.KEY_BEG: 'kbeg',
_curses.KEY_BTAB: 'kcbt',
_curses.KEY_C1: 'kc1',
_curses.KEY_C3: 'kc3',
_curses.KEY_CANCEL: 'kcan',
_curses.KEY_CATAB: 'ktbc',
_curses.KEY_CLEAR: 'kclr',
_curses.KEY_CLOSE: 'kclo',
_curses.KEY_COMMAND: 'kcmd',
_curses.KEY_COPY: 'kcpy',
_curses.KEY_CREATE: 'kcrt',
_curses.KEY_CTAB: 'kctab',
_curses.KEY_DC: 'kdch1',
_curses.KEY_DL: 'kdl1',
_curses.KEY_DOWN: 'kcud1',
_curses.KEY_EIC: 'krmir',
_curses.KEY_END: 'kend',
_curses.KEY_ENTER: 'kent',
_curses.KEY_EOL: 'kel',
_curses.KEY_EOS: 'ked',
_curses.KEY_EXIT: 'kext',
_curses.KEY_F0: 'kf0',
_curses.KEY_F1: 'kf1',
_curses.KEY_F10: 'kf10',
_curses.KEY_F11: 'kf11',
_curses.KEY_F12: 'kf12',
_curses.KEY_F13: 'kf13',
_curses.KEY_F14: 'kf14',
_curses.KEY_F15: 'kf15',
_curses.KEY_F16: 'kf16',
_curses.KEY_F17: 'kf17',
_curses.KEY_F18: 'kf18',
_curses.KEY_F19: 'kf19',
_curses.KEY_F2: 'kf2',
_curses.KEY_F20: 'kf20',
_curses.KEY_F21: 'kf21',
_curses.KEY_F22: 'kf22',
_curses.KEY_F23: 'kf23',
_curses.KEY_F24: 'kf24',
_curses.KEY_F25: 'kf25',
_curses.KEY_F26: 'kf26',
_curses.KEY_F27: 'kf27',
_curses.KEY_F28: 'kf28',
_curses.KEY_F29: 'kf29',
_curses.KEY_F3: 'kf3',
_curses.KEY_F30: 'kf30',
_curses.KEY_F31: 'kf31',
_curses.KEY_F32: 'kf32',
_curses.KEY_F33: 'kf33',
_curses.KEY_F34: 'kf34',
_curses.KEY_F35: 'kf35',
_curses.KEY_F36: 'kf36',
_curses.KEY_F37: 'kf37',
_curses.KEY_F38: 'kf38',
_curses.KEY_F39: 'kf39',
_curses.KEY_F4: 'kf4',
_curses.KEY_F40: 'kf40',
_curses.KEY_F41: 'kf41',
_curses.KEY_F42: 'kf42',
_curses.KEY_F43: 'kf43',
_curses.KEY_F44: 'kf44',
_curses.KEY_F45: 'kf45',
_curses.KEY_F46: 'kf46',
_curses.KEY_F47: 'kf47',
_curses.KEY_F48: 'kf48',
_curses.KEY_F49: 'kf49',
_curses.KEY_F5: 'kf5',
_curses.KEY_F50: 'kf50',
_curses.KEY_F51: 'kf51',
_curses.KEY_F52: 'kf52',
_curses.KEY_F53: 'kf53',
_curses.KEY_F54: 'kf54',
_curses.KEY_F55: 'kf55',
_curses.KEY_F56: 'kf56',
_curses.KEY_F57: 'kf57',
_curses.KEY_F58: 'kf58',
_curses.KEY_F59: 'kf59',
_curses.KEY_F6: 'kf6',
_curses.KEY_F60: 'kf60',
_curses.KEY_F61: 'kf61',
_curses.KEY_F62: 'kf62',
_curses.KEY_F63: 'kf63',
_curses.KEY_F7: 'kf7',
_curses.KEY_F8: 'kf8',
_curses.KEY_F9: 'kf9',
_curses.KEY_FIND: 'kfnd',
_curses.KEY_HELP: 'khlp',
_curses.KEY_HOME: 'khome',
_curses.KEY_IC: 'kich1',
_curses.KEY_IL: 'kil1',
_curses.KEY_LEFT: 'kcub1',
_curses.KEY_LL: 'kll',
_curses.KEY_MARK: 'kmrk',
_curses.KEY_MESSAGE: 'kmsg',
_curses.KEY_MOVE: 'kmov',
_curses.KEY_NEXT: 'knxt',
_curses.KEY_NPAGE: 'knp',
_curses.KEY_OPEN: 'kopn',
_curses.KEY_OPTIONS: 'kopt',
_curses.KEY_PPAGE: 'kpp',
_curses.KEY_PREVIOUS: 'kprv',
_curses.KEY_PRINT: 'kprt',
_curses.KEY_REDO: 'krdo',
_curses.KEY_REFERENCE: 'kref',
_curses.KEY_REFRESH: 'krfr',
_curses.KEY_REPLACE: 'krpl',
_curses.KEY_RESTART: 'krst',
_curses.KEY_RESUME: 'kres',
_curses.KEY_RIGHT: 'kcuf1',
_curses.KEY_SAVE: 'ksav',
_curses.KEY_SBEG: 'kBEG',
_curses.KEY_SCANCEL: 'kCAN',
_curses.KEY_SCOMMAND: 'kCMD',
_curses.KEY_SCOPY: 'kCPY',
_curses.KEY_SCREATE: 'kCRT',
_curses.KEY_SDC: 'kDC',
_curses.KEY_SDL: 'kDL',
_curses.KEY_SELECT: 'kslt',
_curses.KEY_SEND: 'kEND',
_curses.KEY_SEOL: 'kEOL',
_curses.KEY_SEXIT: 'kEXT',
_curses.KEY_SF: 'kind',
_curses.KEY_SFIND: 'kFND',
_curses.KEY_SHELP: 'kHLP',
_curses.KEY_SHOME: 'kHOM',
_curses.KEY_SIC: 'kIC',
_curses.KEY_SLEFT: 'kLFT',
_curses.KEY_SMESSAGE: 'kMSG',
_curses.KEY_SMOVE: 'kMOV',
_curses.KEY_SNEXT: 'kNXT',
_curses.KEY_SOPTIONS: 'kOPT',
_curses.KEY_SPREVIOUS: 'kPRV',
_curses.KEY_SPRINT: 'kPRT',
_curses.KEY_SR: 'kri',
_curses.KEY_SREDO: 'kRDO',
_curses.KEY_SREPLACE: 'kRPL',
_curses.KEY_SRIGHT: 'kRIT',
_curses.KEY_SRSUME: 'kRES',
_curses.KEY_SSAVE: 'kSAV',
_curses.KEY_SSUSPEND: 'kSPD',
_curses.KEY_STAB: 'khts',
_curses.KEY_SUNDO: 'kUND',
_curses.KEY_SUSPEND: 'kspd',
_curses.KEY_UNDO: 'kund',
_curses.KEY_UP: 'kcuu1'
}
def has_key(ch):
if isinstance(ch, str):
ch = ord(ch)
# Figure out the correct capability name for the keycode.
capability_name = _capability_names.get(ch)
if capability_name is None:
return False
#Check the current terminal description for that capability;
#if present, return true, else return false.
if _curses.tigetstr( capability_name ):
return True
else:
return False
if __name__ == '__main__':
# Compare the output of this implementation and the ncurses has_key,
# on platforms where has_key is already available
try:
L = []
_curses.initscr()
for key in _capability_names.keys():
system = _curses.has_key(key)
python = has_key(key)
if system != python:
L.append( 'Mismatch for key %s, system=%i, Python=%i'
% (_curses.keyname( key ), system, python) )
finally:
_curses.endwin()
for i in L: print i
| mit |
mscuthbert/abjad | abjad/tools/timespantools/test/test_timespantools_Timespan_is_congruent_to_timespan.py | 2 | 2925 | # -*- encoding: utf-8 -*-
from abjad import *
def test_timespantools_Timespan_is_congruent_to_timespan_01():
timespan_1 = timespantools.Timespan(0, 15)
timespan_2 = timespantools.Timespan(-10, -5)
assert not timespan_1.is_congruent_to_timespan(timespan_2)
def test_timespantools_Timespan_is_congruent_to_timespan_02():
timespan_1 = timespantools.Timespan(0, 15)
timespan_2 = timespantools.Timespan(-10, 0)
assert not timespan_1.is_congruent_to_timespan(timespan_2)
def test_timespantools_Timespan_is_congruent_to_timespan_03():
timespan_1 = timespantools.Timespan(0, 15)
timespan_2 = timespantools.Timespan(-10, 5)
assert not timespan_1.is_congruent_to_timespan(timespan_2)
def test_timespantools_Timespan_is_congruent_to_timespan_04():
timespan_1 = timespantools.Timespan(0, 15)
timespan_2 = timespantools.Timespan(-10, 15)
assert not timespan_1.is_congruent_to_timespan(timespan_2)
def test_timespantools_Timespan_is_congruent_to_timespan_05():
timespan_1 = timespantools.Timespan(0, 15)
timespan_2 = timespantools.Timespan(-10, 25)
assert not timespan_1.is_congruent_to_timespan(timespan_2)
def test_timespantools_Timespan_is_congruent_to_timespan_06():
timespan_1 = timespantools.Timespan(0, 15)
timespan_2 = timespantools.Timespan(0, 10)
assert not timespan_1.is_congruent_to_timespan(timespan_2)
def test_timespantools_Timespan_is_congruent_to_timespan_07():
timespan_1 = timespantools.Timespan(0, 15)
timespan_2 = timespantools.Timespan(0, 15)
assert timespan_1.is_congruent_to_timespan(timespan_2)
def test_timespantools_Timespan_is_congruent_to_timespan_08():
timespan_1 = timespantools.Timespan(0, 15)
timespan_2 = timespantools.Timespan(5, 10)
assert not timespan_1.is_congruent_to_timespan(timespan_2)
def test_timespantools_Timespan_is_congruent_to_timespan_09():
timespan_1 = timespantools.Timespan(0, 15)
timespan_2 = timespantools.Timespan(5, 15)
assert not timespan_1.is_congruent_to_timespan(timespan_2)
def test_timespantools_Timespan_is_congruent_to_timespan_10():
timespan_1 = timespantools.Timespan(0, 15)
timespan_2 = timespantools.Timespan(0, 25)
assert not timespan_1.is_congruent_to_timespan(timespan_2)
def test_timespantools_Timespan_is_congruent_to_timespan_11():
timespan_1 = timespantools.Timespan(0, 15)
timespan_2 = timespantools.Timespan(5, 25)
assert not timespan_1.is_congruent_to_timespan(timespan_2)
def test_timespantools_Timespan_is_congruent_to_timespan_12():
timespan_1 = timespantools.Timespan(0, 15)
timespan_2 = timespantools.Timespan(15, 25)
assert not timespan_1.is_congruent_to_timespan(timespan_2)
def test_timespantools_Timespan_is_congruent_to_timespan_13():
timespan_1 = timespantools.Timespan(0, 15)
timespan_2 = timespantools.Timespan(20, 25)
assert not timespan_1.is_congruent_to_timespan(timespan_2) | gpl-3.0 |
PySide/Shiboken | tests/samplebinding/multi_cpp_inheritance_test.py | 6 | 3178 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# This file is part of the Shiboken Python Bindings Generator project.
#
# Copyright (C) 2013 Digia Plc and/or its subsidiary(-ies).
#
# Contact: PySide team <[email protected]>
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public License
# version 2.1 as published by the Free Software Foundation. Please
# review the following information to ensure the GNU Lesser General
# Public License version 2.1 requirements will be met:
# http://www.gnu.org/licenses/old-licenses/lgpl-2.1.html.
# #
# 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
# 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., 51 Franklin St, Fifth Floor, Boston, MA
# 02110-1301 USA
'''Test cases for multiple inheritance'''
import sys
import unittest
from sample import *
class SimpleUseCase(ObjectType, Str):
def __init__(self, name):
ObjectType.__init__(self)
Str.__init__(self, name)
class SimpleUseCaseReverse(Str, ObjectType):
def __init__(self, name):
ObjectType.__init__(self)
Str.__init__(self, name)
class SimpleUseCase2(SimpleUseCase):
def __init__(self, name):
SimpleUseCase.__init__(self, name)
class ComplexUseCase(SimpleUseCase2, Point):
def __init__(self, name):
SimpleUseCase2.__init__(self, name)
Point.__init__(self)
class ComplexUseCaseReverse(Point, SimpleUseCase2):
def __init__(self, name):
SimpleUseCase2.__init__(self, name)
Point.__init__(self)
class MultipleCppDerivedTest(unittest.TestCase):
def testInstanciation(self):
s = SimpleUseCase("Hi")
self.assertEqual(s, "Hi")
s.setObjectName(s)
self.assertEqual(s.objectName(), "Hi")
def testInstanciation2(self):
s = SimpleUseCase2("Hi")
self.assertEqual(s, "Hi")
s.setObjectName(s)
self.assertEqual(s.objectName(), "Hi")
def testComplexInstanciation(self):
c = ComplexUseCase("Hi")
self.assertEqual(c, "Hi")
c.setObjectName(c)
self.assertEqual(c.objectName(), "Hi")
c.setX(2);
self.assertEqual(c.x(), 2)
class MultipleCppDerivedReverseTest(unittest.TestCase):
def testInstanciation(self):
s = SimpleUseCaseReverse("Hi")
self.assertEqual(s, "Hi")
s.setObjectName(s)
self.assertEqual(s.objectName(), "Hi")
def testInstanciation2(self):
s = SimpleUseCase2("Hi")
self.assertEqual(s, "Hi")
s.setObjectName(s)
self.assertEqual(s.objectName(), "Hi")
def testComplexInstanciation(self):
c = ComplexUseCaseReverse("Hi")
c.setObjectName(c)
self.assertEqual(c.objectName(), "Hi")
c.setX(2);
self.assertEqual(c, Point(2, 0))
if __name__ == '__main__':
unittest.main()
| gpl-2.0 |
bazitur/brackets-python-tools | pythonfiles/parso/python/token.py | 2 | 1777 | from __future__ import absolute_import
from itertools import count
from token import *
from parso._compatibility import py_version
_counter = count(N_TOKENS)
# Never want to see this thing again.
del N_TOKENS
COMMENT = next(_counter)
tok_name[COMMENT] = 'COMMENT'
NL = next(_counter)
tok_name[NL] = 'NL'
# Sets the attributes that don't exist in these tok_name versions.
if py_version >= 30:
BACKQUOTE = next(_counter)
tok_name[BACKQUOTE] = 'BACKQUOTE'
else:
RARROW = next(_counter)
tok_name[RARROW] = 'RARROW'
ELLIPSIS = next(_counter)
tok_name[ELLIPSIS] = 'ELLIPSIS'
if py_version < 35:
ATEQUAL = next(_counter)
tok_name[ATEQUAL] = 'ATEQUAL'
ERROR_DEDENT = next(_counter)
tok_name[ERROR_DEDENT] = 'ERROR_DEDENT'
# Map from operator to number (since tokenize doesn't do this)
opmap_raw = """\
( LPAR
) RPAR
[ LSQB
] RSQB
: COLON
, COMMA
; SEMI
+ PLUS
- MINUS
* STAR
/ SLASH
| VBAR
& AMPER
< LESS
> GREATER
= EQUAL
. DOT
% PERCENT
` BACKQUOTE
{ LBRACE
} RBRACE
@ AT
== EQEQUAL
!= NOTEQUAL
<> NOTEQUAL
<= LESSEQUAL
>= GREATEREQUAL
~ TILDE
^ CIRCUMFLEX
<< LEFTSHIFT
>> RIGHTSHIFT
** DOUBLESTAR
+= PLUSEQUAL
-= MINEQUAL
*= STAREQUAL
/= SLASHEQUAL
%= PERCENTEQUAL
&= AMPEREQUAL
|= VBAREQUAL
@= ATEQUAL
^= CIRCUMFLEXEQUAL
<<= LEFTSHIFTEQUAL
>>= RIGHTSHIFTEQUAL
**= DOUBLESTAREQUAL
// DOUBLESLASH
//= DOUBLESLASHEQUAL
-> RARROW
... ELLIPSIS
"""
opmap = {}
for line in opmap_raw.splitlines():
op, name = line.split()
opmap[op] = globals()[name]
def generate_token_id(string):
"""
Uses a token in the grammar (e.g. `'+'` or `'and'`returns the corresponding
ID for it. The strings are part of the grammar file.
"""
try:
return opmap[string]
except KeyError:
pass
return globals()[string]
| mit |
glaubitz/fs-uae-debian | arcade/launcher/settings/settings_header.py | 2 | 1384 | import fsui
from fsbc.util import unused
from launcher.ui.skin import Skin
class SettingsHeader(fsui.Group):
ICON_LEFT = 0
ICON_RIGHT = 1
def __init__(
self, parent, icon, title, subtitle="", icon_position=ICON_RIGHT
):
unused(subtitle)
fsui.Group.__init__(self, parent)
self.layout = fsui.HorizontalLayout()
image = icon.image(48)
self.image_view = fsui.ImageView(self, image)
if icon_position == self.ICON_LEFT:
self.layout.add(self.image_view)
self.layout.add_spacer(20)
# vert_layout = fsui.VerticalLayout()
# self.layout.add(
# vert_layout, expand=True, fill=False, valign=0.5)
self.title_label = fsui.HeadingLabel(self, title)
if Skin.fws() or True:
font = fsui.Font("Roboto", 26)
self.title_label.set_font(font)
self.layout.add(
self.title_label, expand=True, fill=False, valign=0.0
)
else:
font = self.title_label.get_font()
font.increase_size(3)
self.title_label.set_font(font)
self.layout.add(
self.title_label, expand=True, fill=False, valign=0.5
)
if icon_position == self.ICON_RIGHT:
self.layout.add_spacer(20)
self.layout.add(self.image_view)
| gpl-2.0 |
twoh/leevee | env/Lib/encodings/aliases.py | 418 | 14848 | """ Encoding Aliases Support
This module is used by the encodings package search function to
map encodings names to module names.
Note that the search function normalizes the encoding names before
doing the lookup, so the mapping will have to map normalized
encoding names to module names.
Contents:
The following aliases dictionary contains mappings of all IANA
character set names for which the Python core library provides
codecs. In addition to these, a few Python specific codec
aliases have also been added.
"""
aliases = {
# Please keep this list sorted alphabetically by value !
# ascii codec
'646' : 'ascii',
'ansi_x3.4_1968' : 'ascii',
'ansi_x3_4_1968' : 'ascii', # some email headers use this non-standard name
'ansi_x3.4_1986' : 'ascii',
'cp367' : 'ascii',
'csascii' : 'ascii',
'ibm367' : 'ascii',
'iso646_us' : 'ascii',
'iso_646.irv_1991' : 'ascii',
'iso_ir_6' : 'ascii',
'us' : 'ascii',
'us_ascii' : 'ascii',
# base64_codec codec
'base64' : 'base64_codec',
'base_64' : 'base64_codec',
# big5 codec
'big5_tw' : 'big5',
'csbig5' : 'big5',
# big5hkscs codec
'big5_hkscs' : 'big5hkscs',
'hkscs' : 'big5hkscs',
# bz2_codec codec
'bz2' : 'bz2_codec',
# cp037 codec
'037' : 'cp037',
'csibm037' : 'cp037',
'ebcdic_cp_ca' : 'cp037',
'ebcdic_cp_nl' : 'cp037',
'ebcdic_cp_us' : 'cp037',
'ebcdic_cp_wt' : 'cp037',
'ibm037' : 'cp037',
'ibm039' : 'cp037',
# cp1026 codec
'1026' : 'cp1026',
'csibm1026' : 'cp1026',
'ibm1026' : 'cp1026',
# cp1140 codec
'1140' : 'cp1140',
'ibm1140' : 'cp1140',
# cp1250 codec
'1250' : 'cp1250',
'windows_1250' : 'cp1250',
# cp1251 codec
'1251' : 'cp1251',
'windows_1251' : 'cp1251',
# cp1252 codec
'1252' : 'cp1252',
'windows_1252' : 'cp1252',
# cp1253 codec
'1253' : 'cp1253',
'windows_1253' : 'cp1253',
# cp1254 codec
'1254' : 'cp1254',
'windows_1254' : 'cp1254',
# cp1255 codec
'1255' : 'cp1255',
'windows_1255' : 'cp1255',
# cp1256 codec
'1256' : 'cp1256',
'windows_1256' : 'cp1256',
# cp1257 codec
'1257' : 'cp1257',
'windows_1257' : 'cp1257',
# cp1258 codec
'1258' : 'cp1258',
'windows_1258' : 'cp1258',
# cp424 codec
'424' : 'cp424',
'csibm424' : 'cp424',
'ebcdic_cp_he' : 'cp424',
'ibm424' : 'cp424',
# cp437 codec
'437' : 'cp437',
'cspc8codepage437' : 'cp437',
'ibm437' : 'cp437',
# cp500 codec
'500' : 'cp500',
'csibm500' : 'cp500',
'ebcdic_cp_be' : 'cp500',
'ebcdic_cp_ch' : 'cp500',
'ibm500' : 'cp500',
# cp775 codec
'775' : 'cp775',
'cspc775baltic' : 'cp775',
'ibm775' : 'cp775',
# cp850 codec
'850' : 'cp850',
'cspc850multilingual' : 'cp850',
'ibm850' : 'cp850',
# cp852 codec
'852' : 'cp852',
'cspcp852' : 'cp852',
'ibm852' : 'cp852',
# cp855 codec
'855' : 'cp855',
'csibm855' : 'cp855',
'ibm855' : 'cp855',
# cp857 codec
'857' : 'cp857',
'csibm857' : 'cp857',
'ibm857' : 'cp857',
# cp858 codec
'858' : 'cp858',
'csibm858' : 'cp858',
'ibm858' : 'cp858',
# cp860 codec
'860' : 'cp860',
'csibm860' : 'cp860',
'ibm860' : 'cp860',
# cp861 codec
'861' : 'cp861',
'cp_is' : 'cp861',
'csibm861' : 'cp861',
'ibm861' : 'cp861',
# cp862 codec
'862' : 'cp862',
'cspc862latinhebrew' : 'cp862',
'ibm862' : 'cp862',
# cp863 codec
'863' : 'cp863',
'csibm863' : 'cp863',
'ibm863' : 'cp863',
# cp864 codec
'864' : 'cp864',
'csibm864' : 'cp864',
'ibm864' : 'cp864',
# cp865 codec
'865' : 'cp865',
'csibm865' : 'cp865',
'ibm865' : 'cp865',
# cp866 codec
'866' : 'cp866',
'csibm866' : 'cp866',
'ibm866' : 'cp866',
# cp869 codec
'869' : 'cp869',
'cp_gr' : 'cp869',
'csibm869' : 'cp869',
'ibm869' : 'cp869',
# cp932 codec
'932' : 'cp932',
'ms932' : 'cp932',
'mskanji' : 'cp932',
'ms_kanji' : 'cp932',
# cp949 codec
'949' : 'cp949',
'ms949' : 'cp949',
'uhc' : 'cp949',
# cp950 codec
'950' : 'cp950',
'ms950' : 'cp950',
# euc_jis_2004 codec
'jisx0213' : 'euc_jis_2004',
'eucjis2004' : 'euc_jis_2004',
'euc_jis2004' : 'euc_jis_2004',
# euc_jisx0213 codec
'eucjisx0213' : 'euc_jisx0213',
# euc_jp codec
'eucjp' : 'euc_jp',
'ujis' : 'euc_jp',
'u_jis' : 'euc_jp',
# euc_kr codec
'euckr' : 'euc_kr',
'korean' : 'euc_kr',
'ksc5601' : 'euc_kr',
'ks_c_5601' : 'euc_kr',
'ks_c_5601_1987' : 'euc_kr',
'ksx1001' : 'euc_kr',
'ks_x_1001' : 'euc_kr',
# gb18030 codec
'gb18030_2000' : 'gb18030',
# gb2312 codec
'chinese' : 'gb2312',
'csiso58gb231280' : 'gb2312',
'euc_cn' : 'gb2312',
'euccn' : 'gb2312',
'eucgb2312_cn' : 'gb2312',
'gb2312_1980' : 'gb2312',
'gb2312_80' : 'gb2312',
'iso_ir_58' : 'gb2312',
# gbk codec
'936' : 'gbk',
'cp936' : 'gbk',
'ms936' : 'gbk',
# hex_codec codec
'hex' : 'hex_codec',
# hp_roman8 codec
'roman8' : 'hp_roman8',
'r8' : 'hp_roman8',
'csHPRoman8' : 'hp_roman8',
# hz codec
'hzgb' : 'hz',
'hz_gb' : 'hz',
'hz_gb_2312' : 'hz',
# iso2022_jp codec
'csiso2022jp' : 'iso2022_jp',
'iso2022jp' : 'iso2022_jp',
'iso_2022_jp' : 'iso2022_jp',
# iso2022_jp_1 codec
'iso2022jp_1' : 'iso2022_jp_1',
'iso_2022_jp_1' : 'iso2022_jp_1',
# iso2022_jp_2 codec
'iso2022jp_2' : 'iso2022_jp_2',
'iso_2022_jp_2' : 'iso2022_jp_2',
# iso2022_jp_2004 codec
'iso_2022_jp_2004' : 'iso2022_jp_2004',
'iso2022jp_2004' : 'iso2022_jp_2004',
# iso2022_jp_3 codec
'iso2022jp_3' : 'iso2022_jp_3',
'iso_2022_jp_3' : 'iso2022_jp_3',
# iso2022_jp_ext codec
'iso2022jp_ext' : 'iso2022_jp_ext',
'iso_2022_jp_ext' : 'iso2022_jp_ext',
# iso2022_kr codec
'csiso2022kr' : 'iso2022_kr',
'iso2022kr' : 'iso2022_kr',
'iso_2022_kr' : 'iso2022_kr',
# iso8859_10 codec
'csisolatin6' : 'iso8859_10',
'iso_8859_10' : 'iso8859_10',
'iso_8859_10_1992' : 'iso8859_10',
'iso_ir_157' : 'iso8859_10',
'l6' : 'iso8859_10',
'latin6' : 'iso8859_10',
# iso8859_11 codec
'thai' : 'iso8859_11',
'iso_8859_11' : 'iso8859_11',
'iso_8859_11_2001' : 'iso8859_11',
# iso8859_13 codec
'iso_8859_13' : 'iso8859_13',
'l7' : 'iso8859_13',
'latin7' : 'iso8859_13',
# iso8859_14 codec
'iso_8859_14' : 'iso8859_14',
'iso_8859_14_1998' : 'iso8859_14',
'iso_celtic' : 'iso8859_14',
'iso_ir_199' : 'iso8859_14',
'l8' : 'iso8859_14',
'latin8' : 'iso8859_14',
# iso8859_15 codec
'iso_8859_15' : 'iso8859_15',
'l9' : 'iso8859_15',
'latin9' : 'iso8859_15',
# iso8859_16 codec
'iso_8859_16' : 'iso8859_16',
'iso_8859_16_2001' : 'iso8859_16',
'iso_ir_226' : 'iso8859_16',
'l10' : 'iso8859_16',
'latin10' : 'iso8859_16',
# iso8859_2 codec
'csisolatin2' : 'iso8859_2',
'iso_8859_2' : 'iso8859_2',
'iso_8859_2_1987' : 'iso8859_2',
'iso_ir_101' : 'iso8859_2',
'l2' : 'iso8859_2',
'latin2' : 'iso8859_2',
# iso8859_3 codec
'csisolatin3' : 'iso8859_3',
'iso_8859_3' : 'iso8859_3',
'iso_8859_3_1988' : 'iso8859_3',
'iso_ir_109' : 'iso8859_3',
'l3' : 'iso8859_3',
'latin3' : 'iso8859_3',
# iso8859_4 codec
'csisolatin4' : 'iso8859_4',
'iso_8859_4' : 'iso8859_4',
'iso_8859_4_1988' : 'iso8859_4',
'iso_ir_110' : 'iso8859_4',
'l4' : 'iso8859_4',
'latin4' : 'iso8859_4',
# iso8859_5 codec
'csisolatincyrillic' : 'iso8859_5',
'cyrillic' : 'iso8859_5',
'iso_8859_5' : 'iso8859_5',
'iso_8859_5_1988' : 'iso8859_5',
'iso_ir_144' : 'iso8859_5',
# iso8859_6 codec
'arabic' : 'iso8859_6',
'asmo_708' : 'iso8859_6',
'csisolatinarabic' : 'iso8859_6',
'ecma_114' : 'iso8859_6',
'iso_8859_6' : 'iso8859_6',
'iso_8859_6_1987' : 'iso8859_6',
'iso_ir_127' : 'iso8859_6',
# iso8859_7 codec
'csisolatingreek' : 'iso8859_7',
'ecma_118' : 'iso8859_7',
'elot_928' : 'iso8859_7',
'greek' : 'iso8859_7',
'greek8' : 'iso8859_7',
'iso_8859_7' : 'iso8859_7',
'iso_8859_7_1987' : 'iso8859_7',
'iso_ir_126' : 'iso8859_7',
# iso8859_8 codec
'csisolatinhebrew' : 'iso8859_8',
'hebrew' : 'iso8859_8',
'iso_8859_8' : 'iso8859_8',
'iso_8859_8_1988' : 'iso8859_8',
'iso_ir_138' : 'iso8859_8',
# iso8859_9 codec
'csisolatin5' : 'iso8859_9',
'iso_8859_9' : 'iso8859_9',
'iso_8859_9_1989' : 'iso8859_9',
'iso_ir_148' : 'iso8859_9',
'l5' : 'iso8859_9',
'latin5' : 'iso8859_9',
# johab codec
'cp1361' : 'johab',
'ms1361' : 'johab',
# koi8_r codec
'cskoi8r' : 'koi8_r',
# latin_1 codec
#
# Note that the latin_1 codec is implemented internally in C and a
# lot faster than the charmap codec iso8859_1 which uses the same
# encoding. This is why we discourage the use of the iso8859_1
# codec and alias it to latin_1 instead.
#
'8859' : 'latin_1',
'cp819' : 'latin_1',
'csisolatin1' : 'latin_1',
'ibm819' : 'latin_1',
'iso8859' : 'latin_1',
'iso8859_1' : 'latin_1',
'iso_8859_1' : 'latin_1',
'iso_8859_1_1987' : 'latin_1',
'iso_ir_100' : 'latin_1',
'l1' : 'latin_1',
'latin' : 'latin_1',
'latin1' : 'latin_1',
# mac_cyrillic codec
'maccyrillic' : 'mac_cyrillic',
# mac_greek codec
'macgreek' : 'mac_greek',
# mac_iceland codec
'maciceland' : 'mac_iceland',
# mac_latin2 codec
'maccentraleurope' : 'mac_latin2',
'maclatin2' : 'mac_latin2',
# mac_roman codec
'macroman' : 'mac_roman',
# mac_turkish codec
'macturkish' : 'mac_turkish',
# mbcs codec
'dbcs' : 'mbcs',
# ptcp154 codec
'csptcp154' : 'ptcp154',
'pt154' : 'ptcp154',
'cp154' : 'ptcp154',
'cyrillic_asian' : 'ptcp154',
# quopri_codec codec
'quopri' : 'quopri_codec',
'quoted_printable' : 'quopri_codec',
'quotedprintable' : 'quopri_codec',
# rot_13 codec
'rot13' : 'rot_13',
# shift_jis codec
'csshiftjis' : 'shift_jis',
'shiftjis' : 'shift_jis',
'sjis' : 'shift_jis',
's_jis' : 'shift_jis',
# shift_jis_2004 codec
'shiftjis2004' : 'shift_jis_2004',
'sjis_2004' : 'shift_jis_2004',
's_jis_2004' : 'shift_jis_2004',
# shift_jisx0213 codec
'shiftjisx0213' : 'shift_jisx0213',
'sjisx0213' : 'shift_jisx0213',
's_jisx0213' : 'shift_jisx0213',
# tactis codec
'tis260' : 'tactis',
# tis_620 codec
'tis620' : 'tis_620',
'tis_620_0' : 'tis_620',
'tis_620_2529_0' : 'tis_620',
'tis_620_2529_1' : 'tis_620',
'iso_ir_166' : 'tis_620',
# utf_16 codec
'u16' : 'utf_16',
'utf16' : 'utf_16',
# utf_16_be codec
'unicodebigunmarked' : 'utf_16_be',
'utf_16be' : 'utf_16_be',
# utf_16_le codec
'unicodelittleunmarked' : 'utf_16_le',
'utf_16le' : 'utf_16_le',
# utf_32 codec
'u32' : 'utf_32',
'utf32' : 'utf_32',
# utf_32_be codec
'utf_32be' : 'utf_32_be',
# utf_32_le codec
'utf_32le' : 'utf_32_le',
# utf_7 codec
'u7' : 'utf_7',
'utf7' : 'utf_7',
'unicode_1_1_utf_7' : 'utf_7',
# utf_8 codec
'u8' : 'utf_8',
'utf' : 'utf_8',
'utf8' : 'utf_8',
'utf8_ucs2' : 'utf_8',
'utf8_ucs4' : 'utf_8',
# uu_codec codec
'uu' : 'uu_codec',
# zlib_codec codec
'zip' : 'zlib_codec',
'zlib' : 'zlib_codec',
}
| mit |
djw8605/htcondor | src/condor_contrib/condor_pigeon/src/condor_pigeon_client/skype_linux_tools/find_chat.py | 10 | 4722 | #! /usr/bin/python
#
# Displays all multi-chats and allows to open them.
#
# (c) Copyright 2007, Vincent Oberle, [email protected]
#
# This software may be used and distributed according to the terms
# of the GNU Public License, incorporated herein by reference.
import sys
import re
from optparse import OptionParser
from skype_api import *
appname = 'chat_finder'
class SkypeChat:
def __init__(self, _chunk_size = 5, debug = False):
self.ids = None
self.chunk = 0
self.chunk_size = _chunk_size
self.topics = {}
self.members = {}
self.friendlyname = {}
self.api = SkypeAPI(appname, debug)
def init_chat_ids(self):
ret = self.api.send_and_block('SEARCH CHATS')
r = re.search (r'CHATS (.*)', ret)
if r:
self.ids = r.group(1).strip().split(', ')
# convert percentage to actual value
self.chunk_size = len(self.ids) * self.chunk_size / 100
# Gets chat info by chunks
def get_all_chats(self):
if not self.ids:
self.init_chat_ids()
lo = self.chunk
self.hi = min([self.chunk + self.chunk_size - 1, len(self.ids) - 1])
for i in self.ids[lo:self.hi]:
self.api.send('GET CHAT ' + i + ' TOPIC')
self.api.send('GET CHAT ' + i + ' MEMBERS')
self.api.send('GET CHAT ' + i + ' FRIENDLYNAME')
while True:
msgs = self.api.response_wait(1)
if not msgs: break
for reply in msgs:
r = re.search (r'CHAT (\S+) TOPIC (.+)', reply)
if r: self.topics[r.group(1).strip()] = r.group(2).strip()
r = re.search (r'CHAT (\S+) MEMBERS (.+)', reply)
if r: self.members[r.group(1).strip()] = r.group(2).strip()
r = re.search (r'CHAT (\S+) FRIENDLYNAME (.+)', reply)
if r: self.friendlyname[r.group(1).strip()] = r.group(2).strip()
self.chunk = min([self.chunk + self.chunk_size, len(self.ids) - 1])
def open_chat(self, name):
self.api.send('OPEN CHAT ' + name)
def open_chat_by_index(self, index):
self.open_chat(self.ids[index])
def print_chat_list(self, filter):
for i in self.ids[:self.hi]:
# display only multi-chats
if not self.members.has_key(i) or len(self.members[i].split()) < 3:
continue
# string we filter on
search_str = ''
if self.topics.has_key(i):
search_str = search_str + self.topics[i]
elif self.friendlyname.has_key(i):
search_str = search_str + self.friendlyname[i]
if self.members.has_key(i):
search_str = search_str + self.members[i]
search_str = search_str.lower()
if not filter or search_str.find(filter) >= 0:
t = ''
if self.topics.has_key(i): t = '**' + self.topics[i] + '**'
elif self.friendlyname.has_key(i): t = '"' + self.friendlyname[i] + '"'
if self.members.has_key(i): t = t + ' ' + self.members[i]
if t:
print str(self.ids.index(i)) + ': ' + t
def perc_loaded(self):
return str( int(float(self.chunk) / len(self.ids) * 100) )
if __name__ == "__main__":
parser = OptionParser('%prog [options]')
parser.add_option('-c', '--chunk', dest='chunk',
default = 5, help='Percentage of total number of chats to load each time (100 for all)')
parser.add_option('-d', '--debug', action='store_true', dest='debug',
default = False, help='Print debug messages')
options, args = parser.parse_args()
if len(args):
parser.print_help()
sys.exit(0)
try:
api = SkypeChat(int(options.chunk), options.debug)
except StandardError:
print 'Could not connect to Skype. Check if "' + appname + '" is authorized to connect to Skype (Options - Public API)'
sys.exit(0)
print 'Please patient while chats are being loaded...'
api.get_all_chats()
filter = None
refresh = True
while True:
if refresh:
print ''
api.print_chat_list(filter)
refresh = False
print 'Loaded: ' + api.perc_loaded() + ' %'
print 'Quick help: "/word" filter by word; "/" clean filter; "m" load more chats; number to open a chat; "q" to quit'
print '> ',
sys.stdout.flush()
result = sys.stdin.readline().strip().lower()
if not result: continue
elif result == '/':
filter = None
refresh = True
elif result[0] == '/':
filter = result[1:]
refresh = True
elif result.isdigit():
api.open_chat_by_index(int(result))
elif result[0] == '#':
api.open_chat(result)
elif result == 'm':
print 'Loading more chats...'
api.get_all_chats()
refresh = True
elif result == 'h':
print 'Skype Chat Finder: Finds old multi-chats and allows to open them'
print 'Commands:'
print ' /word Filters chat topic and member list with "word"'
print ' / Show all chats (reset filter)'
print ' m Loads more chats'
print ' Chat number Opens the chat window in Skype'
print ' q Quits'
elif result == 'q':
break
| apache-2.0 |
dangtrinhnt/django-saml2 | djangosaml2/templatetags/idplist.py | 8 | 1419 | # Copyright (C) 2011-2012 Yaco Sistemas (http://www.yaco.es)
#
# 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 django import template
from djangosaml2.conf import config_settings_loader
register = template.Library()
class IdPListNode(template.Node):
def __init__(self, variable_name):
self.variable_name = variable_name
def render(self, context):
conf = config_settings_loader()
context[self.variable_name] = conf.idps()
return ''
@register.tag
def idplist(parser, token):
try:
tag_name, as_part, variable = token.split_contents()
except ValueError:
raise template.TemplateSyntaxError(
'%r tag requires two arguments' % token.contents.split()[0])
if not as_part == 'as':
raise template.TemplateSyntaxError(
'%r tag first argument must be the literal "as"' % tag_name)
return IdPListNode(variable)
| apache-2.0 |
nevir/plexability | extern/depot_tools/third_party/boto/mashups/server.py | 91 | 14043 | # Copyright (c) 2006,2007 Mitch Garnaat http://garnaat.org/
#
# 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.
"""
High-level abstraction of an EC2 server
"""
import boto
import boto.utils
from boto.mashups.iobject import IObject
from boto.pyami.config import Config, BotoConfigPath
from boto.mashups.interactive import interactive_shell
from boto.sdb.db.model import Model
from boto.sdb.db.property import StringProperty
import os
import StringIO
class ServerSet(list):
def __getattr__(self, name):
results = []
is_callable = False
for server in self:
try:
val = getattr(server, name)
if callable(val):
is_callable = True
results.append(val)
except:
results.append(None)
if is_callable:
self.map_list = results
return self.map
return results
def map(self, *args):
results = []
for fn in self.map_list:
results.append(fn(*args))
return results
class Server(Model):
@property
def ec2(self):
if self._ec2 is None:
self._ec2 = boto.connect_ec2()
return self._ec2
@classmethod
def Inventory(cls):
"""
Returns a list of Server instances, one for each Server object
persisted in the db
"""
l = ServerSet()
rs = cls.find()
for server in rs:
l.append(server)
return l
@classmethod
def Register(cls, name, instance_id, description=''):
s = cls()
s.name = name
s.instance_id = instance_id
s.description = description
s.save()
return s
def __init__(self, id=None, **kw):
Model.__init__(self, id, **kw)
self._reservation = None
self._instance = None
self._ssh_client = None
self._pkey = None
self._config = None
self._ec2 = None
name = StringProperty(unique=True, verbose_name="Name")
instance_id = StringProperty(verbose_name="Instance ID")
config_uri = StringProperty()
ami_id = StringProperty(verbose_name="AMI ID")
zone = StringProperty(verbose_name="Availability Zone")
security_group = StringProperty(verbose_name="Security Group", default="default")
key_name = StringProperty(verbose_name="Key Name")
elastic_ip = StringProperty(verbose_name="Elastic IP")
instance_type = StringProperty(verbose_name="Instance Type")
description = StringProperty(verbose_name="Description")
log = StringProperty()
def setReadOnly(self, value):
raise AttributeError
def getInstance(self):
if not self._instance:
if self.instance_id:
try:
rs = self.ec2.get_all_instances([self.instance_id])
except:
return None
if len(rs) > 0:
self._reservation = rs[0]
self._instance = self._reservation.instances[0]
return self._instance
instance = property(getInstance, setReadOnly, None, 'The Instance for the server')
def getAMI(self):
if self.instance:
return self.instance.image_id
ami = property(getAMI, setReadOnly, None, 'The AMI for the server')
def getStatus(self):
if self.instance:
self.instance.update()
return self.instance.state
status = property(getStatus, setReadOnly, None,
'The status of the server')
def getHostname(self):
if self.instance:
return self.instance.public_dns_name
hostname = property(getHostname, setReadOnly, None,
'The public DNS name of the server')
def getPrivateHostname(self):
if self.instance:
return self.instance.private_dns_name
private_hostname = property(getPrivateHostname, setReadOnly, None,
'The private DNS name of the server')
def getLaunchTime(self):
if self.instance:
return self.instance.launch_time
launch_time = property(getLaunchTime, setReadOnly, None,
'The time the Server was started')
def getConsoleOutput(self):
if self.instance:
return self.instance.get_console_output()
console_output = property(getConsoleOutput, setReadOnly, None,
'Retrieve the console output for server')
def getGroups(self):
if self._reservation:
return self._reservation.groups
else:
return None
groups = property(getGroups, setReadOnly, None,
'The Security Groups controlling access to this server')
def getConfig(self):
if not self._config:
remote_file = BotoConfigPath
local_file = '%s.ini' % self.instance.id
self.get_file(remote_file, local_file)
self._config = Config(local_file)
return self._config
def setConfig(self, config):
local_file = '%s.ini' % self.instance.id
fp = open(local_file)
config.write(fp)
fp.close()
self.put_file(local_file, BotoConfigPath)
self._config = config
config = property(getConfig, setConfig, None,
'The instance data for this server')
def set_config(self, config):
"""
Set SDB based config
"""
self._config = config
self._config.dump_to_sdb("botoConfigs", self.id)
def load_config(self):
self._config = Config(do_load=False)
self._config.load_from_sdb("botoConfigs", self.id)
def stop(self):
if self.instance:
self.instance.stop()
def start(self):
self.stop()
ec2 = boto.connect_ec2()
ami = ec2.get_all_images(image_ids = [str(self.ami_id)])[0]
groups = ec2.get_all_security_groups(groupnames=[str(self.security_group)])
if not self._config:
self.load_config()
if not self._config.has_section("Credentials"):
self._config.add_section("Credentials")
self._config.set("Credentials", "aws_access_key_id", ec2.aws_access_key_id)
self._config.set("Credentials", "aws_secret_access_key", ec2.aws_secret_access_key)
if not self._config.has_section("Pyami"):
self._config.add_section("Pyami")
if self._manager.domain:
self._config.set('Pyami', 'server_sdb_domain', self._manager.domain.name)
self._config.set("Pyami", 'server_sdb_name', self.name)
cfg = StringIO.StringIO()
self._config.write(cfg)
cfg = cfg.getvalue()
r = ami.run(min_count=1,
max_count=1,
key_name=self.key_name,
security_groups = groups,
instance_type = self.instance_type,
placement = self.zone,
user_data = cfg)
i = r.instances[0]
self.instance_id = i.id
self.put()
if self.elastic_ip:
ec2.associate_address(self.instance_id, self.elastic_ip)
def reboot(self):
if self.instance:
self.instance.reboot()
def get_ssh_client(self, key_file=None, host_key_file='~/.ssh/known_hosts',
uname='root'):
import paramiko
if not self.instance:
print 'No instance yet!'
return
if not self._ssh_client:
if not key_file:
iobject = IObject()
key_file = iobject.get_filename('Path to OpenSSH Key file')
self._pkey = paramiko.RSAKey.from_private_key_file(key_file)
self._ssh_client = paramiko.SSHClient()
self._ssh_client.load_system_host_keys()
self._ssh_client.load_host_keys(os.path.expanduser(host_key_file))
self._ssh_client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
self._ssh_client.connect(self.instance.public_dns_name,
username=uname, pkey=self._pkey)
return self._ssh_client
def get_file(self, remotepath, localpath):
ssh_client = self.get_ssh_client()
sftp_client = ssh_client.open_sftp()
sftp_client.get(remotepath, localpath)
def put_file(self, localpath, remotepath):
ssh_client = self.get_ssh_client()
sftp_client = ssh_client.open_sftp()
sftp_client.put(localpath, remotepath)
def listdir(self, remotepath):
ssh_client = self.get_ssh_client()
sftp_client = ssh_client.open_sftp()
return sftp_client.listdir(remotepath)
def shell(self, key_file=None):
ssh_client = self.get_ssh_client(key_file)
channel = ssh_client.invoke_shell()
interactive_shell(channel)
def bundle_image(self, prefix, key_file, cert_file, size):
print 'bundling image...'
print '\tcopying cert and pk over to /mnt directory on server'
ssh_client = self.get_ssh_client()
sftp_client = ssh_client.open_sftp()
path, name = os.path.split(key_file)
remote_key_file = '/mnt/%s' % name
self.put_file(key_file, remote_key_file)
path, name = os.path.split(cert_file)
remote_cert_file = '/mnt/%s' % name
self.put_file(cert_file, remote_cert_file)
print '\tdeleting %s' % BotoConfigPath
# delete the metadata.ini file if it exists
try:
sftp_client.remove(BotoConfigPath)
except:
pass
command = 'sudo ec2-bundle-vol '
command += '-c %s -k %s ' % (remote_cert_file, remote_key_file)
command += '-u %s ' % self._reservation.owner_id
command += '-p %s ' % prefix
command += '-s %d ' % size
command += '-d /mnt '
if self.instance.instance_type == 'm1.small' or self.instance_type == 'c1.medium':
command += '-r i386'
else:
command += '-r x86_64'
print '\t%s' % command
t = ssh_client.exec_command(command)
response = t[1].read()
print '\t%s' % response
print '\t%s' % t[2].read()
print '...complete!'
def upload_bundle(self, bucket, prefix):
print 'uploading bundle...'
command = 'ec2-upload-bundle '
command += '-m /mnt/%s.manifest.xml ' % prefix
command += '-b %s ' % bucket
command += '-a %s ' % self.ec2.aws_access_key_id
command += '-s %s ' % self.ec2.aws_secret_access_key
print '\t%s' % command
ssh_client = self.get_ssh_client()
t = ssh_client.exec_command(command)
response = t[1].read()
print '\t%s' % response
print '\t%s' % t[2].read()
print '...complete!'
def create_image(self, bucket=None, prefix=None, key_file=None, cert_file=None, size=None):
iobject = IObject()
if not bucket:
bucket = iobject.get_string('Name of S3 bucket')
if not prefix:
prefix = iobject.get_string('Prefix for AMI file')
if not key_file:
key_file = iobject.get_filename('Path to RSA private key file')
if not cert_file:
cert_file = iobject.get_filename('Path to RSA public cert file')
if not size:
size = iobject.get_int('Size (in MB) of bundled image')
self.bundle_image(prefix, key_file, cert_file, size)
self.upload_bundle(bucket, prefix)
print 'registering image...'
self.image_id = self.ec2.register_image('%s/%s.manifest.xml' % (bucket, prefix))
return self.image_id
def attach_volume(self, volume, device="/dev/sdp"):
"""
Attach an EBS volume to this server
:param volume: EBS Volume to attach
:type volume: boto.ec2.volume.Volume
:param device: Device to attach to (default to /dev/sdp)
:type device: string
"""
if hasattr(volume, "id"):
volume_id = volume.id
else:
volume_id = volume
return self.ec2.attach_volume(volume_id=volume_id, instance_id=self.instance_id, device=device)
def detach_volume(self, volume):
"""
Detach an EBS volume from this server
:param volume: EBS Volume to detach
:type volume: boto.ec2.volume.Volume
"""
if hasattr(volume, "id"):
volume_id = volume.id
else:
volume_id = volume
return self.ec2.detach_volume(volume_id=volume_id, instance_id=self.instance_id)
def install_package(self, package_name):
print 'installing %s...' % package_name
command = 'yum -y install %s' % package_name
print '\t%s' % command
ssh_client = self.get_ssh_client()
t = ssh_client.exec_command(command)
response = t[1].read()
print '\t%s' % response
print '\t%s' % t[2].read()
print '...complete!'
| gpl-2.0 |
kalahbrown/HueBigSQL | desktop/core/ext-py/django-extensions-1.5.0/docs/conf.py | 33 | 6439 | # -*- coding: utf-8 -*-
#
# django-extensions documentation build configuration file, created by
# sphinx-quickstart on Wed Apr 1 20:39:40 2009.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are commented out
# serve to show the default.
#import sys, os
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
#sys.path.append(os.path.abspath('.'))
# -- General configuration -----------------------------------------------------
# Add any Sphinx extension module names here, as strings. They can be extensions
# coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
extensions = []
# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
# The suffix of source filenames.
source_suffix = '.rst'
# The encoding of source files.
#source_encoding = 'utf-8'
# The master toctree document.
master_doc = 'index'
# General information about the project.
project = u'django-extensions'
copyright = u'Copyright (C) 2008-2015 Michael Trier, Bas van Oostveen and contributors'
# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
# built documents.
#
# The short X.Y version.
version = '1.5'
# The full version, including alpha/beta/rc tags.
release = '1.5.0'
# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
#language = None
# There are two options for replacing |today|: either, you set today to some
# non-false value, then it is used:
#today = ''
# Else, today_fmt is used as the format for a strftime call.
#today_fmt = '%B %d, %Y'
# List of documents that shouldn't be included in the build.
#unused_docs = []
# List of directories, relative to source directory, that shouldn't be searched
# for source files.
exclude_trees = ['_build']
# The reST default role (used for this markup: `text`) to use for all documents.
#default_role = None
# If true, '()' will be appended to :func: etc. cross-reference text.
#add_function_parentheses = True
# If true, the current module name will be prepended to all description
# unit titles (such as .. function::).
#add_module_names = True
# If true, sectionauthor and moduleauthor directives will be shown in the
# output. They are ignored by default.
#show_authors = False
# The name of the Pygments (syntax highlighting) style to use.
pygments_style = 'sphinx'
# A list of ignored prefixes for module index sorting.
#modindex_common_prefix = []
# -- Options for HTML output ---------------------------------------------------
# The theme to use for HTML and HTML Help pages. Major themes that come with
# Sphinx are currently 'default' and 'sphinxdoc'.
html_theme = 'default'
# Theme options are theme-specific and customize the look and feel of a theme
# further. For a list of options available for each theme, see the
# documentation.
#html_theme_options = {}
# Add any paths that contain custom themes here, relative to this directory.
#html_theme_path = []
# The name for this set of Sphinx documents. If None, it defaults to
# "<project> v<release> documentation".
#html_title = None
# A shorter title for the navigation bar. Default is the same as html_title.
#html_short_title = None
# The name of an image file (relative to this directory) to place at the top
# of the sidebar.
#html_logo = None
# The name of an image file (within the static path) to use as favicon of the
# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32
# pixels large.
#html_favicon = None
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']
# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
# using the given strftime format.
#html_last_updated_fmt = '%b %d, %Y'
# If true, SmartyPants will be used to convert quotes and dashes to
# typographically correct entities.
#html_use_smartypants = True
# Custom sidebar templates, maps document names to template names.
#html_sidebars = {}
# Additional templates that should be rendered to pages, maps page names to
# template names.
#html_additional_pages = {}
# If false, no module index is generated.
#html_use_modindex = True
# If false, no index is generated.
#html_use_index = True
# If true, the index is split into individual pages for each letter.
#html_split_index = False
# If true, links to the reST sources are added to the pages.
#html_show_sourcelink = True
# If true, an OpenSearch description file will be output, and all pages will
# contain a <link> tag referring to it. The value of this option must be the
# base URL from which the finished HTML is served.
#html_use_opensearch = ''
# If nonempty, this is the file name suffix for HTML files (e.g. ".xhtml").
#html_file_suffix = ''
# Output file base name for HTML help builder.
htmlhelp_basename = 'django-extensionsdoc'
# -- Options for LaTeX output --------------------------------------------------
# The paper size ('letter' or 'a4').
#latex_paper_size = 'letter'
# The font size ('10pt', '11pt' or '12pt').
#latex_font_size = '10pt'
# Grouping the document tree into LaTeX files. List of tuples
# (source start file, target name, title, author, documentclass [howto/manual]).
latex_documents = [(
'index', 'django-extensions.tex', u'django-extensions Documentation',
u'Michael Trier, Bas van Oostveen, and contributors', 'manual'
), ]
# The name of an image file (relative to this directory) to place at the top of
# the title page.
#latex_logo = None
# For "manual" documents, if this is true, then toplevel headings are parts,
# not chapters.
#latex_use_parts = False
# Additional stuff for the LaTeX preamble.
#latex_preamble = ''
# Documents to append as an appendix to all manuals.
#latex_appendices = []
# If false, no module index is generated.
#latex_use_modindex = True
| apache-2.0 |
kriswuollett/grpc | examples/python/multiplex/route_guide_resources.py | 115 | 2221 | # Copyright 2015, Google Inc.
# 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.
# * Neither the name of Google Inc. nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# 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
# OWNER 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.
"""Common resources used in the gRPC route guide example."""
import json
import route_guide_pb2
def read_route_guide_database():
"""Reads the route guide database.
Returns:
The full contents of the route guide database as a sequence of
route_guide_pb2.Features.
"""
feature_list = []
with open("route_guide_db.json") as route_guide_db_file:
for item in json.load(route_guide_db_file):
feature = route_guide_pb2.Feature(
name=item["name"],
location=route_guide_pb2.Point(
latitude=item["location"]["latitude"],
longitude=item["location"]["longitude"]))
feature_list.append(feature)
return feature_list
| bsd-3-clause |
howethomas/synapse | tests/rest/client/v1/test_presence.py | 2 | 12591 | # -*- coding: utf-8 -*-
# Copyright 2014 OpenMarket Ltd
#
# 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 REST events for /presence paths."""
from tests import unittest
from twisted.internet import defer
from mock import Mock
from ....utils import MockHttpResource, setup_test_homeserver
from synapse.api.constants import PresenceState
from synapse.handlers.presence import PresenceHandler
from synapse.rest.client.v1 import presence
from synapse.rest.client.v1 import events
from synapse.types import UserID
from synapse.util.async import run_on_reactor
from collections import namedtuple
OFFLINE = PresenceState.OFFLINE
UNAVAILABLE = PresenceState.UNAVAILABLE
ONLINE = PresenceState.ONLINE
myid = "@apple:test"
PATH_PREFIX = "/_matrix/client/api/v1"
class JustPresenceHandlers(object):
def __init__(self, hs):
self.presence_handler = PresenceHandler(hs)
class PresenceStateTestCase(unittest.TestCase):
@defer.inlineCallbacks
def setUp(self):
self.mock_resource = MockHttpResource(prefix=PATH_PREFIX)
hs = yield setup_test_homeserver(
datastore=Mock(spec=[
"get_presence_state",
"set_presence_state",
"insert_client_ip",
]),
http_client=None,
resource_for_client=self.mock_resource,
resource_for_federation=self.mock_resource,
)
hs.handlers = JustPresenceHandlers(hs)
self.datastore = hs.get_datastore()
self.datastore.get_app_service_by_token = Mock(return_value=None)
def get_presence_list(*a, **kw):
return defer.succeed([])
self.datastore.get_presence_list = get_presence_list
def _get_user_by_token(token=None):
return {
"user": UserID.from_string(myid),
"admin": False,
"device_id": None,
"token_id": 1,
}
hs.get_v1auth().get_user_by_token = _get_user_by_token
room_member_handler = hs.handlers.room_member_handler = Mock(
spec=[
"get_joined_rooms_for_user",
]
)
def get_rooms_for_user(user):
return defer.succeed([])
room_member_handler.get_joined_rooms_for_user = get_rooms_for_user
presence.register_servlets(hs, self.mock_resource)
self.u_apple = UserID.from_string(myid)
@defer.inlineCallbacks
def test_get_my_status(self):
mocked_get = self.datastore.get_presence_state
mocked_get.return_value = defer.succeed(
{"state": ONLINE, "status_msg": "Available"}
)
(code, response) = yield self.mock_resource.trigger("GET",
"/presence/%s/status" % (myid), None)
self.assertEquals(200, code)
self.assertEquals(
{"presence": ONLINE, "status_msg": "Available"},
response
)
mocked_get.assert_called_with("apple")
@defer.inlineCallbacks
def test_set_my_status(self):
mocked_set = self.datastore.set_presence_state
mocked_set.return_value = defer.succeed({"state": OFFLINE})
(code, response) = yield self.mock_resource.trigger("PUT",
"/presence/%s/status" % (myid),
'{"presence": "unavailable", "status_msg": "Away"}')
self.assertEquals(200, code)
mocked_set.assert_called_with("apple",
{"state": UNAVAILABLE, "status_msg": "Away"}
)
class PresenceListTestCase(unittest.TestCase):
@defer.inlineCallbacks
def setUp(self):
self.mock_resource = MockHttpResource(prefix=PATH_PREFIX)
hs = yield setup_test_homeserver(
datastore=Mock(spec=[
"has_presence_state",
"get_presence_state",
"allow_presence_visible",
"is_presence_visible",
"add_presence_list_pending",
"set_presence_list_accepted",
"del_presence_list",
"get_presence_list",
"insert_client_ip",
]),
http_client=None,
resource_for_client=self.mock_resource,
resource_for_federation=self.mock_resource,
)
hs.handlers = JustPresenceHandlers(hs)
self.datastore = hs.get_datastore()
self.datastore.get_app_service_by_token = Mock(return_value=None)
def has_presence_state(user_localpart):
return defer.succeed(
user_localpart in ("apple", "banana",)
)
self.datastore.has_presence_state = has_presence_state
def _get_user_by_token(token=None):
return {
"user": UserID.from_string(myid),
"admin": False,
"device_id": None,
"token_id": 1,
}
hs.handlers.room_member_handler = Mock(
spec=[
"get_joined_rooms_for_user",
]
)
hs.get_v1auth().get_user_by_token = _get_user_by_token
presence.register_servlets(hs, self.mock_resource)
self.u_apple = UserID.from_string("@apple:test")
self.u_banana = UserID.from_string("@banana:test")
@defer.inlineCallbacks
def test_get_my_list(self):
self.datastore.get_presence_list.return_value = defer.succeed(
[{"observed_user_id": "@banana:test", "accepted": True}],
)
(code, response) = yield self.mock_resource.trigger("GET",
"/presence/list/%s" % (myid), None)
self.assertEquals(200, code)
self.assertEquals([
{"user_id": "@banana:test", "presence": OFFLINE, "accepted": True},
], response)
self.datastore.get_presence_list.assert_called_with(
"apple", accepted=True
)
@defer.inlineCallbacks
def test_invite(self):
self.datastore.add_presence_list_pending.return_value = (
defer.succeed(())
)
self.datastore.is_presence_visible.return_value = defer.succeed(
True
)
(code, response) = yield self.mock_resource.trigger("POST",
"/presence/list/%s" % (myid),
"""{"invite": ["@banana:test"]}"""
)
self.assertEquals(200, code)
self.datastore.add_presence_list_pending.assert_called_with(
"apple", "@banana:test"
)
self.datastore.set_presence_list_accepted.assert_called_with(
"apple", "@banana:test"
)
@defer.inlineCallbacks
def test_drop(self):
self.datastore.del_presence_list.return_value = (
defer.succeed(())
)
(code, response) = yield self.mock_resource.trigger("POST",
"/presence/list/%s" % (myid),
"""{"drop": ["@banana:test"]}"""
)
self.assertEquals(200, code)
self.datastore.del_presence_list.assert_called_with(
"apple", "@banana:test"
)
class PresenceEventStreamTestCase(unittest.TestCase):
@defer.inlineCallbacks
def setUp(self):
self.mock_resource = MockHttpResource(prefix=PATH_PREFIX)
# HIDEOUS HACKERY
# TODO(paul): This should be injected in via the HomeServer DI system
from synapse.streams.events import (
PresenceEventSource, NullSource, EventSources
)
old_SOURCE_TYPES = EventSources.SOURCE_TYPES
def tearDown():
EventSources.SOURCE_TYPES = old_SOURCE_TYPES
self.tearDown = tearDown
EventSources.SOURCE_TYPES = {
k: NullSource for k in old_SOURCE_TYPES.keys()
}
EventSources.SOURCE_TYPES["presence"] = PresenceEventSource
hs = yield setup_test_homeserver(
http_client=None,
resource_for_client=self.mock_resource,
resource_for_federation=self.mock_resource,
datastore=Mock(spec=[
"set_presence_state",
"get_presence_list",
"get_rooms_for_user",
]),
clock=Mock(spec=[
"call_later",
"cancel_call_later",
"time_msec",
"looping_call",
]),
)
hs.get_clock().time_msec.return_value = 1000000
def _get_user_by_req(req=None):
return (UserID.from_string(myid), "")
hs.get_v1auth().get_user_by_req = _get_user_by_req
presence.register_servlets(hs, self.mock_resource)
events.register_servlets(hs, self.mock_resource)
hs.handlers.room_member_handler = Mock(spec=[])
self.room_members = []
def get_rooms_for_user(user):
if user in self.room_members:
return ["a-room"]
else:
return []
hs.handlers.room_member_handler.get_joined_rooms_for_user = get_rooms_for_user
hs.handlers.room_member_handler.get_room_members = (
lambda r: self.room_members if r == "a-room" else []
)
self.mock_datastore = hs.get_datastore()
self.mock_datastore.get_app_service_by_token = Mock(return_value=None)
self.mock_datastore.get_app_service_by_user_id = Mock(
return_value=defer.succeed(None)
)
self.mock_datastore.get_rooms_for_user = (
lambda u: [
namedtuple("Room", "room_id")(r)
for r in get_rooms_for_user(UserID.from_string(u))
]
)
def get_profile_displayname(user_id):
return defer.succeed("Frank")
self.mock_datastore.get_profile_displayname = get_profile_displayname
def get_profile_avatar_url(user_id):
return defer.succeed(None)
self.mock_datastore.get_profile_avatar_url = get_profile_avatar_url
def user_rooms_intersect(user_list):
room_member_ids = map(lambda u: u.to_string(), self.room_members)
shared = all(map(lambda i: i in room_member_ids, user_list))
return defer.succeed(shared)
self.mock_datastore.user_rooms_intersect = user_rooms_intersect
def get_joined_hosts_for_room(room_id):
return []
self.mock_datastore.get_joined_hosts_for_room = get_joined_hosts_for_room
self.presence = hs.get_handlers().presence_handler
self.u_apple = UserID.from_string("@apple:test")
self.u_banana = UserID.from_string("@banana:test")
@defer.inlineCallbacks
def test_shortpoll(self):
self.room_members = [self.u_apple, self.u_banana]
self.mock_datastore.set_presence_state.return_value = defer.succeed(
{"state": ONLINE}
)
self.mock_datastore.get_presence_list.return_value = defer.succeed(
[]
)
(code, response) = yield self.mock_resource.trigger("GET",
"/events?timeout=0", None)
self.assertEquals(200, code)
# We've forced there to be only one data stream so the tokens will
# all be ours
# I'll already get my own presence state change
self.assertEquals({"start": "0_1_0", "end": "0_1_0", "chunk": []},
response
)
self.mock_datastore.set_presence_state.return_value = defer.succeed(
{"state": ONLINE}
)
self.mock_datastore.get_presence_list.return_value = defer.succeed([])
yield self.presence.set_state(self.u_banana, self.u_banana,
state={"presence": ONLINE}
)
yield run_on_reactor()
(code, response) = yield self.mock_resource.trigger("GET",
"/events?from=s0_1_0&timeout=0", None)
self.assertEquals(200, code)
self.assertEquals({"start": "s0_1_0", "end": "s0_2_0", "chunk": [
{"type": "m.presence",
"content": {
"user_id": "@banana:test",
"presence": ONLINE,
"displayname": "Frank",
"last_active_ago": 0,
}},
]}, response)
| apache-2.0 |
leiferikb/bitpop | src/third_party/pyftpdlib/src/demo/basic_ftpd.py | 4 | 2796 | #!/usr/bin/env python
# $Id: basic_ftpd.py 977 2012-01-22 23:05:09Z g.rodola $
# pyftpdlib is released under the MIT license, reproduced below:
# ======================================================================
# Copyright (C) 2007-2012 Giampaolo Rodola' <[email protected]>
#
# 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, 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 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 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.
#
# ======================================================================
"""A basic FTP server which uses a DummyAuthorizer for managing 'virtual
users', setting a limit for incoming connections.
"""
import os
from pyftpdlib import ftpserver
def main():
# Instantiate a dummy authorizer for managing 'virtual' users
authorizer = ftpserver.DummyAuthorizer()
# Define a new user having full r/w permissions and a read-only
# anonymous user
authorizer.add_user('user', '12345', os.getcwd(), perm='elradfmwM')
authorizer.add_anonymous(os.getcwd())
# Instantiate FTP handler class
ftp_handler = ftpserver.FTPHandler
ftp_handler.authorizer = authorizer
# Define a customized banner (string returned when client connects)
ftp_handler.banner = "pyftpdlib %s based ftpd ready." %ftpserver.__ver__
# Specify a masquerade address and the range of ports to use for
# passive connections. Decomment in case you're behind a NAT.
#ftp_handler.masquerade_address = '151.25.42.11'
#ftp_handler.passive_ports = range(60000, 65535)
# Instantiate FTP server class and listen to 0.0.0.0:21
address = ('', 21)
ftpd = ftpserver.FTPServer(address, ftp_handler)
# set a limit for connections
ftpd.max_cons = 256
ftpd.max_cons_per_ip = 5
# start ftp server
ftpd.serve_forever()
if __name__ == '__main__':
main()
| gpl-3.0 |
joachimmetz/plaso | plaso/parsers/asl.py | 2 | 11003 | # -*- coding: utf-8 -*-
"""The Apple System Log (ASL) file parser."""
import os
from dfdatetime import posix_time as dfdatetime_posix_time
from dfdatetime import semantic_time as dfdatetime_semantic_time
from plaso.containers import events
from plaso.containers import time_events
from plaso.lib import definitions
from plaso.lib import dtfabric_helper
from plaso.lib import errors
from plaso.lib import specification
from plaso.parsers import interface
from plaso.parsers import manager
class ASLEventData(events.EventData):
"""Apple System Log (ASL) event data.
Attributes:
computer_name (str): name of the host.
extra_information (str): extra fields associated to the event.
facility (str): facility.
group_id (int): group identifier (GID).
level (str): level of criticality of the event.
message_id (int): message identifier.
message (str): message of the event.
pid (int): process identifier (PID).
read_uid (int): user identifier that can read this file, where -1
represents all.
read_gid (int): the group identifier that can read this file, where -1
represents all.
record_position (int): position of the event record.
sender (str): sender or process that created the event.
user_sid (str): user identifier (UID).
"""
DATA_TYPE = 'mac:asl:event'
def __init__(self):
"""Initializes event data."""
super(ASLEventData, self).__init__(data_type=self.DATA_TYPE)
self.computer_name = None
self.extra_information = None
self.facility = None
self.group_id = None
self.level = None
self.message_id = None
self.message = None
self.pid = None
self.read_gid = None
self.read_uid = None
self.record_position = None
self.sender = None
self.user_sid = None
class ASLFileEventData(events.EventData):
"""Apple System Log (ASL) file event data.
Attributes:
format_version (int): ASL file format version.
is_dirty (bool): True if the last log entry offset does not match value
in file header and the file is considered dirty.
"""
DATA_TYPE = 'mac:asl:file'
def __init__(self):
"""Initializes event data."""
super(ASLFileEventData, self).__init__(data_type=self.DATA_TYPE)
self.format_version = None
self.is_dirty = None
class ASLParser(interface.FileObjectParser, dtfabric_helper.DtFabricHelper):
"""Parser for Apple System Log (ASL) files."""
NAME = 'asl_log'
DATA_FORMAT = 'Apple System Log (ASL) file'
_DEFINITION_FILE = os.path.join(
os.path.dirname(__file__), 'asl.yaml')
# Most significant bit of a 64-bit string offset.
_STRING_OFFSET_MSB = 1 << 63
def _ParseRecord(self, parser_mediator, file_object, record_offset):
"""Parses a record and produces events.
Args:
parser_mediator (ParserMediator): mediates interactions between parsers
and other components, such as storage and dfvfs.
file_object (file): file-like object.
record_offset (int): offset of the record relative to the start of
the file.
Returns:
int: next record offset.
Raises:
ParseError: if the record cannot be parsed.
"""
record_map = self._GetDataTypeMap('asl_record')
try:
record, record_data_size = self._ReadStructureFromFileObject(
file_object, record_offset, record_map)
except (ValueError, errors.ParseError) as exception:
raise errors.ParseError((
'Unable to parse record at offset: 0x{0:08x} with error: '
'{1!s}').format(record_offset, exception))
hostname = self._ParseRecordString(
file_object, record.hostname_string_offset)
sender = self._ParseRecordString(
file_object, record.sender_string_offset)
facility = self._ParseRecordString(
file_object, record.facility_string_offset)
message = self._ParseRecordString(
file_object, record.message_string_offset)
file_offset = record_offset + record_data_size
additional_data_size = record.data_size + 6 - record_data_size
if additional_data_size % 8 != 0:
raise errors.ParseError(
'Invalid record additional data size: {0:d}.'.format(
additional_data_size))
additional_data = self._ReadData(
file_object, file_offset, additional_data_size)
extra_fields = {}
for additional_data_offset in range(0, additional_data_size - 8, 16):
record_extra_field = self._ParseRecordExtraField(
additional_data[additional_data_offset:], file_offset)
file_offset += 16
name = self._ParseRecordString(
file_object, record_extra_field.name_string_offset)
value = self._ParseRecordString(
file_object, record_extra_field.value_string_offset)
if name is not None:
extra_fields[name] = value
# TODO: implement determine previous record offset
event_data = ASLEventData()
event_data.computer_name = hostname
event_data.extra_information = ', '.join([
'{0:s}: {1!s}'.format(name, value)
for name, value in sorted(extra_fields.items())])
event_data.facility = facility
event_data.group_id = record.group_identifier
event_data.level = record.alert_level
event_data.message_id = record.message_identifier
event_data.message = message
event_data.pid = record.process_identifier
event_data.read_gid = record.real_group_identifier
event_data.read_uid = record.real_user_identifier
event_data.record_position = record_offset
event_data.sender = sender
# Note that the user_sid value is expected to be a string.
event_data.user_sid = '{0:d}'.format(record.user_identifier)
timestamp = (
(record.written_time * 1000000000) + record.written_time_nanoseconds)
date_time = dfdatetime_posix_time.PosixTimeInNanoseconds(
timestamp=timestamp)
event = time_events.DateTimeValuesEvent(
date_time, definitions.TIME_DESCRIPTION_WRITTEN)
parser_mediator.ProduceEventWithEventData(event, event_data)
return record.next_record_offset
def _ParseRecordExtraField(self, byte_stream, file_offset):
"""Parses a record extra field.
Args:
byte_stream (bytes): byte stream.
file_offset (int): offset of the record extra field relative to
the start of the file.
Returns:
asl_record_extra_field: record extra field.
Raises:
ParseError: if the record extra field cannot be parsed.
"""
extra_field_map = self._GetDataTypeMap('asl_record_extra_field')
try:
record_extra_field = self._ReadStructureFromByteStream(
byte_stream, file_offset, extra_field_map)
except (ValueError, errors.ParseError) as exception:
raise errors.ParseError((
'Unable to parse record extra field at offset: 0x{0:08x} with error: '
'{1!s}').format(file_offset, exception))
return record_extra_field
def _ParseRecordString(self, file_object, string_offset):
"""Parses a record string.
Args:
file_object (file): file-like object.
string_offset (int): offset of the string relative to the start of
the file.
Returns:
str: record string or None if string offset is 0.
Raises:
ParseError: if the record string cannot be parsed.
"""
if string_offset == 0:
return None
if string_offset & self._STRING_OFFSET_MSB:
if (string_offset >> 60) != 8:
raise errors.ParseError('Invalid inline record string flag.')
string_size = (string_offset >> 56) & 0x0f
if string_size >= 8:
raise errors.ParseError('Invalid inline record string size.')
string_data = bytes(bytearray([
string_offset >> (8 * byte_index) & 0xff
for byte_index in range(6, -1, -1)]))
try:
return string_data[:string_size].decode('utf-8')
except UnicodeDecodeError as exception:
raise errors.ParseError(
'Unable to decode inline record string with error: {0!s}.'.format(
exception))
record_string_map = self._GetDataTypeMap('asl_record_string')
try:
record_string, _ = self._ReadStructureFromFileObject(
file_object, string_offset, record_string_map)
except (ValueError, errors.ParseError) as exception:
raise errors.ParseError((
'Unable to parse record string at offset: 0x{0:08x} with error: '
'{1!s}').format(string_offset, exception))
return record_string.string.rstrip('\x00')
@classmethod
def GetFormatSpecification(cls):
"""Retrieves the format specification.
Returns:
FormatSpecification: format specification.
"""
format_specification = specification.FormatSpecification(cls.NAME)
format_specification.AddNewSignature(
b'ASL DB\x00\x00\x00\x00\x00\x00', offset=0)
return format_specification
def ParseFileObject(self, parser_mediator, file_object):
"""Parses an ASL file-like object.
Args:
parser_mediator (ParserMediator): mediates interactions between parsers
and other components, such as storage and dfvfs.
file_object (dfvfs.FileIO): file-like object.
Raises:
UnableToParseFile: when the file cannot be parsed.
"""
file_header_map = self._GetDataTypeMap('asl_file_header')
try:
file_header, _ = self._ReadStructureFromFileObject(
file_object, 0, file_header_map)
except (ValueError, errors.ParseError) as exception:
raise errors.UnableToParseFile(
'Unable to parse file header with error: {0!s}'.format(
exception))
is_dirty = False
file_size = file_object.get_size()
if file_header.first_log_entry_offset > 0:
last_log_entry_offset = 0
file_offset = file_header.first_log_entry_offset
while file_offset < file_size:
last_log_entry_offset = file_offset
try:
file_offset = self._ParseRecord(
parser_mediator, file_object, file_offset)
except errors.ParseError as exception:
parser_mediator.ProduceExtractionWarning(
'unable to parse record with error: {0!s}'.format(exception))
return
if file_offset == 0:
break
if last_log_entry_offset != file_header.last_log_entry_offset:
is_dirty = True
parser_mediator.ProduceRecoveryWarning(
'last log entry offset does not match value in file header.')
event_data = ASLFileEventData()
event_data.format_version = file_header.format_version
event_data.is_dirty = is_dirty
if file_header.creation_time:
date_time = dfdatetime_posix_time.PosixTime(
timestamp=file_header.creation_time)
else:
date_time = dfdatetime_semantic_time.NotSet()
event = time_events.DateTimeValuesEvent(
date_time, definitions.TIME_DESCRIPTION_CREATION)
parser_mediator.ProduceEventWithEventData(event, event_data)
manager.ParsersManager.RegisterParser(ASLParser)
| apache-2.0 |
FireWRT/OpenWrt-Firefly-Libraries | staging_dir/target-mipsel_1004kc+dsp_uClibc-0.9.33.2/usr/lib/python3.4/ctypes/test/test_parameters.py | 80 | 6196 | import unittest, sys
from ctypes.test import need_symbol
class SimpleTypesTestCase(unittest.TestCase):
def setUp(self):
import ctypes
try:
from _ctypes import set_conversion_mode
except ImportError:
pass
else:
self.prev_conv_mode = set_conversion_mode("ascii", "strict")
def tearDown(self):
try:
from _ctypes import set_conversion_mode
except ImportError:
pass
else:
set_conversion_mode(*self.prev_conv_mode)
def test_subclasses(self):
from ctypes import c_void_p, c_char_p
# ctypes 0.9.5 and before did overwrite from_param in SimpleType_new
class CVOIDP(c_void_p):
def from_param(cls, value):
return value * 2
from_param = classmethod(from_param)
class CCHARP(c_char_p):
def from_param(cls, value):
return value * 4
from_param = classmethod(from_param)
self.assertEqual(CVOIDP.from_param("abc"), "abcabc")
self.assertEqual(CCHARP.from_param("abc"), "abcabcabcabc")
@need_symbol('c_wchar_p')
def test_subclasses_c_wchar_p(self):
from ctypes import c_wchar_p
class CWCHARP(c_wchar_p):
def from_param(cls, value):
return value * 3
from_param = classmethod(from_param)
self.assertEqual(CWCHARP.from_param("abc"), "abcabcabc")
# XXX Replace by c_char_p tests
def test_cstrings(self):
from ctypes import c_char_p, byref
# c_char_p.from_param on a Python String packs the string
# into a cparam object
s = b"123"
self.assertIs(c_char_p.from_param(s)._obj, s)
# new in 0.9.1: convert (encode) unicode to ascii
self.assertEqual(c_char_p.from_param(b"123")._obj, b"123")
self.assertRaises(TypeError, c_char_p.from_param, "123\377")
self.assertRaises(TypeError, c_char_p.from_param, 42)
# calling c_char_p.from_param with a c_char_p instance
# returns the argument itself:
a = c_char_p(b"123")
self.assertIs(c_char_p.from_param(a), a)
@need_symbol('c_wchar_p')
def test_cw_strings(self):
from ctypes import byref, c_wchar_p
c_wchar_p.from_param("123")
self.assertRaises(TypeError, c_wchar_p.from_param, 42)
self.assertRaises(TypeError, c_wchar_p.from_param, b"123\377")
pa = c_wchar_p.from_param(c_wchar_p("123"))
self.assertEqual(type(pa), c_wchar_p)
def test_int_pointers(self):
from ctypes import c_short, c_uint, c_int, c_long, POINTER, pointer
LPINT = POINTER(c_int)
## p = pointer(c_int(42))
## x = LPINT.from_param(p)
x = LPINT.from_param(pointer(c_int(42)))
self.assertEqual(x.contents.value, 42)
self.assertEqual(LPINT(c_int(42)).contents.value, 42)
self.assertEqual(LPINT.from_param(None), None)
if c_int != c_long:
self.assertRaises(TypeError, LPINT.from_param, pointer(c_long(42)))
self.assertRaises(TypeError, LPINT.from_param, pointer(c_uint(42)))
self.assertRaises(TypeError, LPINT.from_param, pointer(c_short(42)))
def test_byref_pointer(self):
# The from_param class method of POINTER(typ) classes accepts what is
# returned by byref(obj), it type(obj) == typ
from ctypes import c_short, c_uint, c_int, c_long, pointer, POINTER, byref
LPINT = POINTER(c_int)
LPINT.from_param(byref(c_int(42)))
self.assertRaises(TypeError, LPINT.from_param, byref(c_short(22)))
if c_int != c_long:
self.assertRaises(TypeError, LPINT.from_param, byref(c_long(22)))
self.assertRaises(TypeError, LPINT.from_param, byref(c_uint(22)))
def test_byref_pointerpointer(self):
# See above
from ctypes import c_short, c_uint, c_int, c_long, pointer, POINTER, byref
LPLPINT = POINTER(POINTER(c_int))
LPLPINT.from_param(byref(pointer(c_int(42))))
self.assertRaises(TypeError, LPLPINT.from_param, byref(pointer(c_short(22))))
if c_int != c_long:
self.assertRaises(TypeError, LPLPINT.from_param, byref(pointer(c_long(22))))
self.assertRaises(TypeError, LPLPINT.from_param, byref(pointer(c_uint(22))))
def test_array_pointers(self):
from ctypes import c_short, c_uint, c_int, c_long, POINTER
INTARRAY = c_int * 3
ia = INTARRAY()
self.assertEqual(len(ia), 3)
self.assertEqual([ia[i] for i in range(3)], [0, 0, 0])
# Pointers are only compatible with arrays containing items of
# the same type!
LPINT = POINTER(c_int)
LPINT.from_param((c_int*3)())
self.assertRaises(TypeError, LPINT.from_param, c_short*3)
self.assertRaises(TypeError, LPINT.from_param, c_long*3)
self.assertRaises(TypeError, LPINT.from_param, c_uint*3)
def test_noctypes_argtype(self):
import _ctypes_test
from ctypes import CDLL, c_void_p, ArgumentError
func = CDLL(_ctypes_test.__file__)._testfunc_p_p
func.restype = c_void_p
# TypeError: has no from_param method
self.assertRaises(TypeError, setattr, func, "argtypes", (object,))
class Adapter(object):
def from_param(cls, obj):
return None
func.argtypes = (Adapter(),)
self.assertEqual(func(None), None)
self.assertEqual(func(object()), None)
class Adapter(object):
def from_param(cls, obj):
return obj
func.argtypes = (Adapter(),)
# don't know how to convert parameter 1
self.assertRaises(ArgumentError, func, object())
self.assertEqual(func(c_void_p(42)), 42)
class Adapter(object):
def from_param(cls, obj):
raise ValueError(obj)
func.argtypes = (Adapter(),)
# ArgumentError: argument 1: ValueError: 99
self.assertRaises(ArgumentError, func, 99)
################################################################
if __name__ == '__main__':
unittest.main()
| gpl-2.0 |
SamReha/Concepts-Game | languages/pt-br.py | 88 | 7249 | # -*- coding: utf-8 -*-
{
'!langcode!': 'pt-br',
'!langname!': 'Português (do Brasil)',
'"update" is an optional expression like "field1=\'newvalue\'". You cannot update or delete the results of a JOIN': '"update" é uma expressão opcional como "campo1=\'novovalor\'". Você não pode atualizar ou apagar os resultados de um JOIN',
'%s %%{row} deleted': '%s linhas apagadas',
'%s %%{row} updated': '%s linhas atualizadas',
'%s selected': '%s selecionado',
'%Y-%m-%d': '%d-%m-%Y',
'%Y-%m-%d %H:%M:%S': '%d-%m-%Y %H:%M:%S',
'About': 'Sobre',
'Access Control': 'Controle de Acesso',
'Administrative Interface': 'Interface Administrativa',
'@markmin\x01An error occured, please [[reload %s]] the page': 'Ocorreu um erro, por favor [[reload %s]] a página',
'Administrative interface': 'Interface administrativa',
'Ajax Recipes': 'Receitas de Ajax',
'appadmin is disabled because insecure channel': 'Administração desativada porque o canal não é seguro',
'Are you sure you want to delete this object?': 'Você está certo que deseja apagar este objeto?',
'Available Databases and Tables': 'Bancos de dados e tabelas disponíveis',
'Buy this book': 'Compre o livro',
'cache': 'cache',
'Cache': 'Cache',
'Cache Keys': 'Chaves de cache',
'Cannot be empty': 'Não pode ser vazio',
'change password': 'modificar senha',
'Check to delete': 'Marque para apagar',
'Clear CACHE?': 'Limpar CACHE?',
'Clear DISK': 'Limpar DISCO',
'Clear RAM': 'Limpar memória RAM',
'Client IP': 'IP do cliente',
'Community': 'Comunidade',
'Components and Plugins': 'Componentes e Plugins',
'Controller': 'Controlador',
'Copyright': 'Copyright',
'Current request': 'Requisição atual',
'Current response': 'Resposta atual',
'Current session': 'Sessão atual',
'customize me!': 'Personalize-me!',
'data uploaded': 'dados enviados',
'Database': 'banco de dados',
'Database %s select': 'Selecionar banco de dados %s',
'db': 'bd',
'DB Model': 'Modelo BD',
'Delete:': 'Apagar:',
'Demo': 'Demo',
'Deployment Recipes': 'Receitas de deploy',
'Description': 'Descrição',
'design': 'projeto',
'DISK': 'DISK',
'Disk Cache Keys': 'Chaves do Cache de Disco',
'Disk Cleared': 'Disco Limpo',
'Documentation': 'Documentação',
"Don't know what to do?": "Não sabe o que fazer?",
'done!': 'concluído!',
'Download': 'Download',
'E-mail': 'E-mail',
'Edit': 'Editar',
'Edit current record': 'Editar o registro atual',
'edit profile': 'editar perfil',
'Edit This App': 'Editar esta aplicação',
'Email and SMS': 'Email e SMS',
'Errors': 'Erros',
'Enter an integer between %(min)g and %(max)g': 'Informe um valor inteiro entre %(min)g e %(max)g',
'export as csv file': 'exportar como um arquivo csv',
'FAQ': 'Perguntas frequentes',
'First name': 'Nome',
'Forms and Validators': 'Formulários e Validadores',
'Free Applications': 'Aplicações gratuitas',
'Group ID': 'ID do Grupo',
'Groups': 'Grupos',
'Hello World': 'Olá Mundo',
'Home': 'Principal',
'How did you get here?': 'Como você chegou aqui?',
'import': 'importar',
'Import/Export': 'Importar/Exportar',
'Index': 'Início',
'insert new': 'inserir novo',
'insert new %s': 'inserir novo %s',
'Internal State': 'Estado Interno',
'Introduction': 'Introdução',
'Invalid email': 'Email inválido',
'Invalid Query': 'Consulta Inválida',
'invalid request': 'requisição inválida',
'Key': 'Chave',
'Last name': 'Sobrenome',
'Layout': 'Layout',
'Layout Plugins': 'Plugins de Layout',
'Layouts': 'Layouts',
'Live chat': 'Chat ao vivo',
'Live Chat': 'Chat ao vivo',
'login': 'Entrar',
'Login': 'Autentique-se',
'logout': 'Sair',
'Lost Password': 'Esqueceu sua senha?',
'lost password?': 'esqueceu sua senha?',
'Main Menu': 'Menu Principal',
'Manage Cache': 'Gerenciar Cache',
'Menu Model': 'Modelo de Menu',
'My Sites': 'Meus sites',
'Name': 'Nome',
'New Record': 'Novo Registro',
'new record inserted': 'novo registro inserido',
'next 100 rows': 'próximas 100 linhas',
'No databases in this application': 'Não há bancos de dados nesta aplicação',
'Object or table name': 'Nome do objeto do da tabela',
'Online examples': 'Exemplos online',
'or import from csv file': 'ou importar de um arquivo csv',
'Origin': 'Origem',
'Other Plugins': 'Outros Plugins',
'Other Recipes': 'Outras Receitas',
'Overview': 'Visão Geral',
'Password': 'Senha',
'Plugins': 'Plugins',
'Powered by': 'Desenvolvido com',
'Preface': 'Prefácio',
'previous 100 rows': '100 linhas anteriores',
'Python': 'Python',
'Query:': 'Consulta:',
'Quick Examples': 'Exemplos rápidos',
'RAM': 'RAM',
'RAM Cache Keys': 'RAM Cache Keys',
'Ram Cleared': 'Ram Cleared',
'Recipes': 'Receitas',
'Record': 'Registro',
'record does not exist': 'registro não existe',
'Record ID': 'ID do Registro',
'Record id': 'id do registro',
'Register': 'Registre-se',
'register': 'Registre-se',
'Registration key': 'Chave de registro',
'Reset Password key': 'Resetar chave de senha',
'Resources': 'Recursos',
'Role': 'Papel',
'Registration identifier': 'Idenficador de registro',
'Rows in Table': 'Linhas na tabela',
'Rows selected': 'Linhas selecionadas',
'Semantic': 'Semântico',
'Services': 'Serviço',
'Size of cache:': 'Tamanho do cache:',
'state': 'estado',
'Statistics': 'Estatísticas',
'Stylesheet': 'Folha de estilo',
'submit': 'enviar',
'Support': 'Suporte',
'Sure you want to delete this object?': 'Está certo(a) que deseja apagar este objeto?',
'Table': 'Tabela',
'Table name': 'Nome da tabela',
'The "query" is a condition like "db.table1.field1==\'value\'". Something like "db.table1.field1==db.table2.field2" results in a SQL JOIN.': 'Uma "consulta" é uma condição como "db.tabela1.campo1==\'valor\'". Expressões como "db.tabela1.campo1==db.tabela2.campo2" resultam em um JOIN SQL.',
'The Core': 'The Core',
'The output of the file is a dictionary that was rendered by the view %s': 'A saída do arquivo é um dicionário que foi apresentado pela visão %s',
'The Views': 'As views',
'This App': 'Esta aplicação',
'This email already has an account': 'Este email já tem uma conta',
'This is a copy of the scaffolding application': 'Isto é uma cópia da aplicação modelo',
'Time in Cache (h:m:s)': 'Tempo em Cache (h:m:s)',
'Timestamp': 'Timestamp',
'Twitter': 'Twitter',
'unable to parse csv file': 'não foi possível analisar arquivo csv',
'Update:': 'Atualizar:',
'Use (...)&(...) for AND, (...)|(...) for OR, and ~(...) for NOT to build more complex queries.': 'Use (...)&(...) para AND, (...)|(...) para OR, e ~(...) para NOT para construir consultas mais complexas.',
'User ID': 'ID do Usuário',
'User Voice': 'Opinião dos usuários',
'Videos': 'Vídeos',
'View': 'Visualização',
'Web2py': 'Web2py',
'Welcome': 'Bem-vindo',
'Welcome %s': 'Bem-vindo %s',
'Welcome to web2py': 'Bem-vindo ao web2py',
'Welcome to web2py!': 'Bem-vindo ao web2py!',
'Which called the function %s located in the file %s': 'Que chamou a função %s localizada no arquivo %s',
'You are successfully running web2py': 'Você está executando o web2py com sucesso',
'You are successfully running web2py.': 'Você está executando o web2py com sucesso.',
'You can modify this application and adapt it to your needs': 'Você pode modificar esta aplicação e adaptá-la às suas necessidades',
'You visited the url %s': 'Você acessou a url %s',
'Working...': 'Trabalhando...',
}
| gpl-2.0 |
ubic135/odoo-design | addons/auth_signup/__openerp__.py | 313 | 1571 | # -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2009-today OpenERP SA (<http://www.openerp.com>)
#
# 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': 'Signup',
'description': """
Allow users to sign up and reset their password
===============================================
""",
'author': 'OpenERP SA',
'version': '1.0',
'category': 'Authentication',
'website': 'https://www.odoo.com',
'installable': True,
'auto_install': True,
'depends': [
'base_setup',
'email_template',
'web',
],
'data': [
'auth_signup_data.xml',
'res_config.xml',
'res_users_view.xml',
'views/auth_signup_login.xml',
],
'bootstrap': True,
}
| agpl-3.0 |
dlazz/ansible | lib/ansible/plugins/connection/funcd.py | 59 | 3533 | # Based on local.py (c) 2012, Michael DeHaan <[email protected]>
# Based on chroot.py (c) 2013, Maykel Moya <[email protected]>
# Copyright (c) 2013, Michael Scherer <[email protected]>
# Copyright (c) 2017 Ansible Project
# 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 = """
author: Michael Scherer (@msherer) <[email protected]>
connection: funcd
short_description: Use funcd to connect to target
description:
- This transport permits you to use Ansible over Func.
- For people who have already setup func and that wish to play with ansible,
this permit to move gradually to ansible without having to redo completely the setup of the network.
version_added: "1.1"
options:
remote_addr:
description:
- The path of the chroot you want to access.
default: inventory_hostname
vars:
- name: ansible_host
- name: ansible_func_host
"""
HAVE_FUNC = False
try:
import func.overlord.client as fc
HAVE_FUNC = True
except ImportError:
pass
import os
import tempfile
import shutil
from ansible.errors import AnsibleError
from ansible.utils.display import Display
display = Display()
class Connection(object):
''' Func-based connections '''
has_pipelining = False
def __init__(self, runner, host, port, *args, **kwargs):
self.runner = runner
self.host = host
# port is unused, this go on func
self.port = port
def connect(self, port=None):
if not HAVE_FUNC:
raise AnsibleError("func is not installed")
self.client = fc.Client(self.host)
return self
def exec_command(self, cmd, become_user=None, sudoable=False, executable='/bin/sh', in_data=None):
''' run a command on the remote minion '''
if in_data:
raise AnsibleError("Internal Error: this module does not support optimized module pipelining")
# totally ignores privlege escalation
display.vvv("EXEC %s" % (cmd), host=self.host)
p = self.client.command.run(cmd)[self.host]
return (p[0], p[1], p[2])
def _normalize_path(self, path, prefix):
if not path.startswith(os.path.sep):
path = os.path.join(os.path.sep, path)
normpath = os.path.normpath(path)
return os.path.join(prefix, normpath[1:])
def put_file(self, in_path, out_path):
''' transfer a file from local to remote '''
out_path = self._normalize_path(out_path, '/')
display.vvv("PUT %s TO %s" % (in_path, out_path), host=self.host)
self.client.local.copyfile.send(in_path, out_path)
def fetch_file(self, in_path, out_path):
''' fetch a file from remote to local '''
in_path = self._normalize_path(in_path, '/')
display.vvv("FETCH %s TO %s" % (in_path, out_path), host=self.host)
# need to use a tmp dir due to difference of semantic for getfile
# ( who take a # directory as destination) and fetch_file, who
# take a file directly
tmpdir = tempfile.mkdtemp(prefix="func_ansible")
self.client.local.getfile.get(in_path, tmpdir)
shutil.move(os.path.join(tmpdir, self.host, os.path.basename(in_path)), out_path)
shutil.rmtree(tmpdir)
def close(self):
''' terminate the connection; nothing to do here '''
pass
| gpl-3.0 |
chamakov/namebench | nb_third_party/dns/rdtypes/ANY/CNAME.py | 248 | 1092 | # Copyright (C) 2003-2007, 2009, 2010 Nominum, Inc.
#
# Permission to use, copy, modify, and distribute this software and its
# documentation for any purpose with or without fee is hereby granted,
# provided that the above copyright notice and this permission notice
# appear in all copies.
#
# THE SOFTWARE IS PROVIDED "AS IS" AND NOMINUM DISCLAIMS ALL WARRANTIES
# WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
# MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL NOMINUM BE LIABLE FOR
# ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
# WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
# ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT
# OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
import dns.rdtypes.nsbase
class CNAME(dns.rdtypes.nsbase.NSBase):
"""CNAME record
Note: although CNAME is officially a singleton type, dnspython allows
non-singleton CNAME rdatasets because such sets have been commonly
used by BIND and other nameservers for load balancing."""
pass
| apache-2.0 |
alfredoavanzosc/odoomrp-wip-1 | sale_product_variants/__openerp__.py | 14 | 1775 |
# -*- encoding: utf-8 -*-
##############################################################################
#
# 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/.
#
##############################################################################
{
"name": "Sale - Product variants",
"version": "1.0",
"depends": [
"product",
"sale",
"product_variants_no_automatic_creation",
],
"author": "OdooMRP team,"
"AvanzOSC,"
"Serv. Tecnol. Avanzados - Pedro M. Baeza",
"contributors": [
"Mikel Arregi <[email protected]>",
"Oihane Crucelaegui <[email protected]>",
"Pedro M. Baeza <[email protected]>",
"Ana Juaristi <[email protected]>",
],
"category": "Sales Management",
"website": "http://www.odoomrp.com",
"summary": "Product variants in sale management",
"data": [
"security/ir.model.access.csv",
"security/sale_product_variants_security.xml",
'views/res_config_view.xml',
"views/sale_view.xml",
],
"installable": True,
"post_init_hook": "assign_product_template",
}
| agpl-3.0 |
titasakgm/brc-stock | openerp/addons/report_geraldo/lib/geraldo/site/newsite/django_1_0/tests/regressiontests/null_queries/models.py | 16 | 1789 | from django.db import models
class Poll(models.Model):
question = models.CharField(max_length=200)
def __unicode__(self):
return u"Q: %s " % self.question
class Choice(models.Model):
poll = models.ForeignKey(Poll)
choice = models.CharField(max_length=200)
def __unicode__(self):
return u"Choice: %s in poll %s" % (self.choice, self.poll)
__test__ = {'API_TESTS':"""
# Regression test for the use of None as a query value. None is interpreted as
# an SQL NULL, but only in __exact queries.
# Set up some initial polls and choices
>>> p1 = Poll(question='Why?')
>>> p1.save()
>>> c1 = Choice(poll=p1, choice='Because.')
>>> c1.save()
>>> c2 = Choice(poll=p1, choice='Why Not?')
>>> c2.save()
# Exact query with value None returns nothing ("is NULL" in sql, but every 'id'
# field has a value).
>>> Choice.objects.filter(choice__exact=None)
[]
Excluding the previous result returns everything.
>>> Choice.objects.exclude(choice=None).order_by('id')
[<Choice: Choice: Because. in poll Q: Why? >, <Choice: Choice: Why Not? in poll Q: Why? >]
# Valid query, but fails because foo isn't a keyword
>>> Choice.objects.filter(foo__exact=None)
Traceback (most recent call last):
...
FieldError: Cannot resolve keyword 'foo' into field. Choices are: choice, id, poll
# Can't use None on anything other than __exact
>>> Choice.objects.filter(id__gt=None)
Traceback (most recent call last):
...
ValueError: Cannot use None as a query value
# Can't use None on anything other than __exact
>>> Choice.objects.filter(foo__gt=None)
Traceback (most recent call last):
...
ValueError: Cannot use None as a query value
# Related managers use __exact=None implicitly if the object hasn't been saved.
>>> p2 = Poll(question="How?")
>>> p2.choice_set.all()
[]
"""}
| agpl-3.0 |
gsmaxwell/phase_offset_rx | gr-digital/python/qa_probe_density.py | 7 | 2141 | #!/usr/bin/env python
#
# Copyright 2012 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.
#
from gnuradio import gr, gr_unittest
import digital_swig as digital
class test_probe_density(gr_unittest.TestCase):
def setUp(self):
self.tb = gr.top_block()
def tearDown(self):
self.tb = None
def test_001(self):
src_data = [0, 1, 0, 1]
expected_data = 1
src = gr.vector_source_b (src_data)
op = digital.probe_density_b(1)
self.tb.connect (src, op)
self.tb.run ()
result_data = op.density()
self.assertEqual (expected_data, result_data)
def test_002(self):
src_data = [1, 1, 1, 1]
expected_data = 1
src = gr.vector_source_b (src_data)
op = digital.probe_density_b(0.01)
self.tb.connect (src, op)
self.tb.run ()
result_data = op.density()
self.assertEqual (expected_data, result_data)
def test_003(self):
src_data = [0, 1, 0, 1, 0, 1, 0, 1, 0, 1]
expected_data = 0.95243
src = gr.vector_source_b (src_data)
op = digital.probe_density_b(0.01)
self.tb.connect (src, op)
self.tb.run ()
result_data = op.density()
print result_data
self.assertAlmostEqual (expected_data, result_data, 5)
if __name__ == '__main__':
gr_unittest.run(test_probe_density, "test_probe_density.xml")
| gpl-3.0 |
rnestler/servo | tests/wpt/mozilla/tests/webgl/conformance-2.0.0/deqp/functional/gles3/uniformbuffers/uniformbuffers_test_generator.py | 51 | 3333 | #!/usr/bin/env python
# Copyright (c) 2016 The Khronos Group Inc.
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and/or associated documentation files (the
# "Materials"), to deal in the Materials without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Materials, and to
# permit persons to whom the Materials are furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Materials.
#
# THE MATERIALS ARE 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
# MATERIALS OR THE USE OR OTHER DEALINGS IN THE MATERIALS.
"""
Generator for uniformbuffers* tests.
This file needs to be run in its folder.
"""
import sys
_DO_NOT_EDIT_WARNING = """<!--
This file is auto-generated from uniformbuffers_test_generator.py
DO NOT EDIT!
-->
"""
_HTML_TEMPLATE = """<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<title>WebGL Uniform Block Conformance Tests</title>
<link rel="stylesheet" href="../../../../resources/js-test-style.css"/>
<script src="../../../../js/js-test-pre.js"></script>
<script src="../../../../js/webgl-test-utils.js"></script>
<script src="../../../../closure-library/closure/goog/base.js"></script>
<script src="../../../deqp-deps.js"></script>
<script>goog.require('functional.gles3.es3fUniformBlockTests');</script>
</head>
<body>
<div id="description"></div>
<div id="console"></div>
<canvas id="canvas" width="200" height="100"> </canvas>
<script>
var wtu = WebGLTestUtils;
var gl = wtu.create3DContext('canvas', null, 2);
functional.gles3.es3fUniformBlockTests.run([%(start)s, %(end)s]);
</script>
</body>
</html>
"""
_GROUPS = [
'single_basic_type',
'single_basic_array',
'single_struct',
'single_struct_array',
'single_nested_struct',
'single_nested_struct_array',
'instance_array_basic_type',
'multi_basic_types',
'multi_nested_struct',
'random',
]
def GenerateFilename(group):
"""Generate test filename."""
filename = group
filename += ".html"
return filename
def WriteTest(filename, start, end):
"""Write one test."""
file = open(filename, "wb")
file.write(_DO_NOT_EDIT_WARNING)
file.write(_HTML_TEMPLATE % {
'start': start,
'end': end
})
file.close
def GenerateTests():
"""Generate all tests."""
filelist = []
for ii in range(len(_GROUPS)):
filename = GenerateFilename(_GROUPS[ii])
filelist.append(filename)
WriteTest(filename, ii, ii + 1)
return filelist
def GenerateTestList(filelist):
file = open("00_test_list.txt", "wb")
file.write('\n'.join(filelist))
file.close
def main(argv):
"""This is the main function."""
filelist = GenerateTests()
GenerateTestList(filelist)
if __name__ == '__main__':
sys.exit(main(sys.argv[1:]))
| mpl-2.0 |
alu042/edx-platform | common/djangoapps/student/tests/test_credit.py | 28 | 8077 | """
Tests for credit courses on the student dashboard.
"""
import unittest
import datetime
from mock import patch
import pytz
from django.conf import settings
from django.core.urlresolvers import reverse
from django.test.utils import override_settings
from xmodule.modulestore.tests.django_utils import ModuleStoreTestCase
from xmodule.modulestore.tests.factories import CourseFactory
from student.models import CourseEnrollmentAttribute
from student.tests.factories import UserFactory, CourseEnrollmentFactory
from openedx.core.djangoapps.credit.models import CreditCourse, CreditProvider, CreditEligibility
from openedx.core.djangoapps.credit import api as credit_api
TEST_CREDIT_PROVIDER_SECRET_KEY = "931433d583c84ca7ba41784bad3232e6"
@unittest.skipUnless(settings.ROOT_URLCONF == 'lms.urls', 'Test only valid in lms')
@override_settings(CREDIT_PROVIDER_SECRET_KEYS={
"hogwarts": TEST_CREDIT_PROVIDER_SECRET_KEY,
})
@patch.dict(settings.FEATURES, {"ENABLE_CREDIT_ELIGIBILITY": True})
class CreditCourseDashboardTest(ModuleStoreTestCase):
"""
Tests for credit courses on the student dashboard.
"""
USERNAME = "ron"
PASSWORD = "mobiliarbus"
PROVIDER_ID = "hogwarts"
PROVIDER_NAME = "Hogwarts School of Witchcraft and Wizardry"
PROVIDER_STATUS_URL = "http://credit.example.com/status"
def setUp(self):
"""Create a course and an enrollment. """
super(CreditCourseDashboardTest, self).setUp()
# Create a user and log in
self.user = UserFactory.create(username=self.USERNAME, password=self.PASSWORD)
result = self.client.login(username=self.USERNAME, password=self.PASSWORD)
self.assertTrue(result, msg="Could not log in")
# Create a course and configure it as a credit course
self.course = CourseFactory()
CreditCourse.objects.create(course_key=self.course.id, enabled=True) # pylint: disable=no-member
# Configure a credit provider
CreditProvider.objects.create(
provider_id=self.PROVIDER_ID,
display_name=self.PROVIDER_NAME,
provider_status_url=self.PROVIDER_STATUS_URL,
enable_integration=True,
)
# Configure a single credit requirement (minimum passing grade)
credit_api.set_credit_requirements(
self.course.id, # pylint: disable=no-member
[
{
"namespace": "grade",
"name": "grade",
"display_name": "Final Grade",
"criteria": {
"min_grade": 0.8
}
}
]
)
# Enroll the user in the course as "verified"
self.enrollment = CourseEnrollmentFactory(
user=self.user,
course_id=self.course.id, # pylint: disable=no-member
mode="verified"
)
def test_not_eligible_for_credit(self):
# The user is not yet eligible for credit, so no additional information should be displayed on the dashboard.
response = self._load_dashboard()
self.assertNotContains(response, "credit-eligibility-msg")
self.assertNotContains(response, "purchase-credit-btn")
def test_eligible_for_credit(self):
# Simulate that the user has completed the only requirement in the course
# so the user is eligible for credit.
self._make_eligible()
# The user should have the option to purchase credit
response = self._load_dashboard()
self.assertContains(response, "credit-eligibility-msg")
self.assertContains(response, "purchase-credit-btn")
# Move the eligibility deadline so it's within 30 days
eligibility = CreditEligibility.objects.get(username=self.USERNAME)
eligibility.deadline = datetime.datetime.now(pytz.UTC) + datetime.timedelta(days=29)
eligibility.save()
# The user should still have the option to purchase credit,
# but there should also be a message urging the user to purchase soon.
response = self._load_dashboard()
self.assertContains(response, "credit-eligibility-msg")
self.assertContains(response, "purchase-credit-btn")
def test_purchased_credit(self):
# Simulate that the user has purchased credit, but has not
# yet initiated a request to the credit provider
self._make_eligible()
self._purchase_credit()
response = self._load_dashboard()
self.assertContains(response, "credit-request-not-started-msg")
def test_purchased_credit_and_request_pending(self):
# Simulate that the user has purchased credit and initiated a request,
# but we haven't yet heard back from the credit provider.
self._make_eligible()
self._purchase_credit()
self._initiate_request()
# Expect that the user's status is "pending"
response = self._load_dashboard()
self.assertContains(response, "credit-request-pending-msg")
def test_purchased_credit_and_request_approved(self):
# Simulate that the user has purchased credit and initiated a request,
# and had that request approved by the credit provider
self._make_eligible()
self._purchase_credit()
request_uuid = self._initiate_request()
self._set_request_status(request_uuid, "approved")
# Expect that the user's status is "approved"
response = self._load_dashboard()
self.assertContains(response, "credit-request-approved-msg")
def test_purchased_credit_and_request_rejected(self):
# Simulate that the user has purchased credit and initiated a request,
# and had that request rejected by the credit provider
self._make_eligible()
self._purchase_credit()
request_uuid = self._initiate_request()
self._set_request_status(request_uuid, "rejected")
# Expect that the user's status is "approved"
response = self._load_dashboard()
self.assertContains(response, "credit-request-rejected-msg")
def test_credit_status_error(self):
# Simulate an error condition: the user has a credit enrollment
# but no enrollment attribute indicating which provider the user
# purchased credit from.
self._make_eligible()
self._purchase_credit()
CourseEnrollmentAttribute.objects.all().delete()
# Expect an error message
response = self._load_dashboard()
self.assertContains(response, "credit-error-msg")
def _load_dashboard(self):
"""Load the student dashboard and return the HttpResponse. """
return self.client.get(reverse("dashboard"))
def _make_eligible(self):
"""Make the user eligible for credit in the course. """
credit_api.set_credit_requirement_status(
self.USERNAME,
self.course.id, # pylint: disable=no-member
"grade", "grade",
status="satisfied",
reason={
"final_grade": 0.95
}
)
def _purchase_credit(self):
"""Purchase credit from a provider in the course. """
self.enrollment.mode = "credit"
self.enrollment.save() # pylint: disable=no-member
CourseEnrollmentAttribute.objects.create(
enrollment=self.enrollment,
namespace="credit",
name="provider_id",
value=self.PROVIDER_ID,
)
def _initiate_request(self):
"""Initiate a request for credit from a provider. """
request = credit_api.create_credit_request(
self.course.id, # pylint: disable=no-member
self.PROVIDER_ID,
self.USERNAME
)
return request["parameters"]["request_uuid"]
def _set_request_status(self, uuid, status):
"""Set the status of a request for credit, simulating the notification from the provider. """
credit_api.update_credit_request_status(uuid, self.PROVIDER_ID, status)
| agpl-3.0 |
snnn/tensorflow | tensorflow/contrib/losses/python/losses/loss_ops.py | 19 | 28132 | # 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.
# ==============================================================================
"""Loss operations for use in neural networks.
Note: All the losses are added to the `GraphKeys.LOSSES` collection.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib.framework.python.ops import add_arg_scope
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import nn
from tensorflow.python.ops import nn_ops
from tensorflow.python.util.deprecation import deprecated
from tensorflow.python.util.deprecation import deprecated_args
from tensorflow.python.util.deprecation import deprecated_argument_lookup
__all__ = [
"absolute_difference", "add_loss", "cosine_distance",
"compute_weighted_loss", "get_losses", "get_regularization_losses",
"get_total_loss", "hinge_loss", "log_loss", "mean_pairwise_squared_error",
"mean_squared_error", "sigmoid_cross_entropy", "softmax_cross_entropy",
"sparse_softmax_cross_entropy"
]
def _scale_losses(losses, weights):
"""Computes the scaled loss.
Args:
losses: A `Tensor` of size [batch_size, d1, ... dN].
weights: A `Tensor` of size [1], [batch_size] or [batch_size, d1, ... dN].
The `losses` are reduced (tf.reduce_sum) until its dimension matches
that of `weights` at which point the reduced `losses` are element-wise
multiplied by `weights` and a final reduce_sum is computed on the result.
Conceptually, this operation is equivalent to broadcasting (tiling)
`weights` to be the same size as `losses`, performing an element-wise
multiplication, and summing the result.
Returns:
A scalar tf.float32 `Tensor` whose value represents the sum of the scaled
`losses`.
"""
# First, compute the sum of the losses over all elements:
start_index = max(0, weights.get_shape().ndims)
reduction_indices = list(range(start_index, losses.get_shape().ndims))
reduced_losses = math_ops.reduce_sum(
losses, reduction_indices=reduction_indices)
reduced_losses = math_ops.multiply(reduced_losses, weights)
return math_ops.reduce_sum(reduced_losses)
def _safe_div(numerator, denominator, name="value"):
"""Computes a safe divide which returns 0 if the denominator is zero.
Note that the function contains an additional conditional check that is
necessary for avoiding situations where the loss is zero causing NaNs to
creep into the gradient computation.
Args:
numerator: An arbitrary `Tensor`.
denominator: A `Tensor` whose shape matches `numerator` and whose values are
assumed to be non-negative.
name: An optional name for the returned op.
Returns:
The element-wise value of the numerator divided by the denominator.
"""
return array_ops.where(
math_ops.greater(denominator, 0),
math_ops.div(numerator,
array_ops.where(
math_ops.equal(denominator, 0),
array_ops.ones_like(denominator), denominator)),
array_ops.zeros_like(numerator),
name=name)
def _safe_mean(losses, num_present):
"""Computes a safe mean of the losses.
Args:
losses: A tensor whose elements contain individual loss measurements.
num_present: The number of measurable losses in the tensor.
Returns:
A scalar representing the mean of the losses. If `num_present` is zero,
then zero is returned.
"""
total_loss = math_ops.reduce_sum(losses)
return _safe_div(total_loss, num_present)
@deprecated("2016-12-30", "Use tf.losses.compute_weighted_loss instead.")
def compute_weighted_loss(losses, weights=1.0, scope=None):
"""Computes the weighted loss.
Args:
losses: A tensor of size [batch_size, d1, ... dN].
weights: A tensor of size [1] or [batch_size, d1, ... dK] where K < N.
scope: the scope for the operations performed in computing the loss.
Returns:
A scalar `Tensor` that returns the weighted loss.
Raises:
ValueError: If `weights` is `None` or the shape is not compatible with
`losses`, or if the number of dimensions (rank) of either `losses` or
`weights` is missing.
"""
with ops.name_scope(scope, "weighted_loss", [losses, weights]):
losses = ops.convert_to_tensor(losses)
input_dtype = losses.dtype
losses = math_ops.to_float(losses)
weights = math_ops.to_float(ops.convert_to_tensor(weights))
if losses.get_shape().ndims is None:
raise ValueError("losses.get_shape().ndims cannot be None")
weights_shape = weights.get_shape()
if weights_shape.ndims is None:
raise ValueError("weights.get_shape().ndims cannot be None")
if weights_shape.ndims > 1 and weights_shape.dims[-1].is_compatible_with(1):
weights = array_ops.squeeze(weights, [-1])
total_loss = _scale_losses(losses, weights)
num_present = _num_present(losses, weights)
mean_loss = _safe_mean(total_loss, num_present)
# convert the result back to the input type
mean_loss = math_ops.cast(mean_loss, input_dtype)
add_loss(mean_loss)
return mean_loss
def _num_present(losses, weights, per_batch=False):
"""Computes the number of elements in the loss function induced by `weights`.
A given weights tensor induces different numbers of usable elements in the
`losses` tensor. The `weights` tensor is broadcast across `losses` for all
possible dimensions. For example, if `losses` is a tensor of dimension
[4, 5, 6, 3] and `weights` is a tensor of size [4, 5], then `weights` is, in
effect, tiled to match the size of `losses`. Following this effective tile,
the total number of present elements is the number of non-zero weights.
Args:
losses: A tensor of size [batch_size, d1, ... dN].
weights: A tensor of size [1] or [batch_size, d1, ... dK] where K < N.
per_batch: Whether to return the number of elements per batch or as a sum
total.
Returns:
The number of present (non-zero) elements in the losses tensor. If
`per_batch` is True, the value is returned as a tensor of size
[batch_size]. Otherwise, a single scalar tensor is returned.
"""
# If weights is a scalar, its easy to compute:
if weights.get_shape().ndims == 0:
batch_size = array_ops.reshape(
array_ops.slice(array_ops.shape(losses), [0], [1]), [])
num_per_batch = math_ops.div(
math_ops.to_float(array_ops.size(losses)),
math_ops.to_float(batch_size))
num_per_batch = array_ops.where(
math_ops.equal(weights, 0), 0.0, num_per_batch)
num_per_batch = math_ops.multiply(
array_ops.ones(array_ops.reshape(batch_size, [1])), num_per_batch)
return num_per_batch if per_batch else math_ops.reduce_sum(num_per_batch)
# First, count the number of nonzero weights:
if weights.get_shape().ndims >= 1:
reduction_indices = list(range(1, weights.get_shape().ndims))
num_nonzero_per_batch = math_ops.reduce_sum(
math_ops.to_float(math_ops.not_equal(weights, 0)),
reduction_indices=reduction_indices)
# Next, determine the number of elements that weights would broadcast to:
broadcast_dims = array_ops.slice(
array_ops.shape(losses), [weights.get_shape().ndims], [-1])
num_to_broadcast = math_ops.to_float(math_ops.reduce_prod(broadcast_dims))
num_per_batch = math_ops.multiply(num_nonzero_per_batch, num_to_broadcast)
return num_per_batch if per_batch else math_ops.reduce_sum(num_per_batch)
@deprecated("2016-12-30", "Use tf.losses.add_loss instead.")
@add_arg_scope
def add_loss(loss, loss_collection=ops.GraphKeys.LOSSES):
"""Adds a externally defined loss to the collection of losses.
Args:
loss: A loss `Tensor`.
loss_collection: Optional collection to add the loss to.
"""
if loss_collection:
ops.add_to_collection(loss_collection, loss)
@deprecated("2016-12-30", "Use tf.losses.get_losses instead.")
def get_losses(scope=None, loss_collection=ops.GraphKeys.LOSSES):
"""Gets the list of losses from the loss_collection.
Args:
scope: an optional scope for filtering the losses to return.
loss_collection: Optional losses collection.
Returns:
a list of loss tensors.
"""
return ops.get_collection(loss_collection, scope)
@deprecated("2016-12-30", "Use tf.losses.get_regularization_losses instead.")
def get_regularization_losses(scope=None):
"""Gets the regularization losses.
Args:
scope: an optional scope for filtering the losses to return.
Returns:
A list of regularization losses as Tensors.
"""
return ops.get_collection(ops.GraphKeys.REGULARIZATION_LOSSES, scope)
@deprecated("2016-12-30", "Use tf.losses.get_total_loss instead.")
def get_total_loss(add_regularization_losses=True, name="total_loss"):
"""Returns a tensor whose value represents the total loss.
Notice that the function adds the given losses to the regularization losses.
Args:
add_regularization_losses: A boolean indicating whether or not to use the
regularization losses in the sum.
name: The name of the returned tensor.
Returns:
A `Tensor` whose value represents the total loss.
Raises:
ValueError: if `losses` is not iterable.
"""
losses = get_losses()
if add_regularization_losses:
losses += get_regularization_losses()
return math_ops.add_n(losses, name=name)
@deprecated("2016-12-30", "Use tf.losses.absolute_difference instead.")
def absolute_difference(predictions, labels=None, weights=1.0, scope=None):
"""Adds an Absolute Difference loss to the training procedure.
`weights` acts as a coefficient for the loss. If a scalar is provided, then
the loss is simply scaled by the given value. If `weights` is a tensor of size
[batch_size], then the total loss for each sample of the batch is rescaled
by the corresponding element in the `weights` vector. If the shape of
`weights` matches the shape of `predictions`, then the loss of each
measurable element of `predictions` is scaled by the corresponding value of
`weights`.
Args:
predictions: The predicted outputs.
labels: The ground truth output tensor, same dimensions as 'predictions'.
weights: Coefficients for the loss a scalar, a tensor of shape
[batch_size] or a tensor whose shape matches `predictions`.
scope: The scope for the operations performed in computing the loss.
Returns:
A scalar `Tensor` representing the loss value.
Raises:
ValueError: If the shape of `predictions` doesn't match that of `labels` or
if the shape of `weights` is invalid.
"""
with ops.name_scope(scope, "absolute_difference",
[predictions, labels, weights]) as scope:
predictions.get_shape().assert_is_compatible_with(labels.get_shape())
predictions = math_ops.to_float(predictions)
labels = math_ops.to_float(labels)
losses = math_ops.abs(math_ops.subtract(predictions, labels))
return compute_weighted_loss(losses, weights, scope=scope)
@deprecated("2016-12-30",
"Use tf.losses.sigmoid_cross_entropy instead. Note that the order "
"of the predictions and labels arguments has been changed.")
def sigmoid_cross_entropy(logits,
multi_class_labels,
weights=1.0,
label_smoothing=0,
scope=None):
"""Creates a cross-entropy loss using tf.nn.sigmoid_cross_entropy_with_logits.
`weights` acts as a coefficient for the loss. If a scalar is provided,
then the loss is simply scaled by the given value. If `weights` is a
tensor of size [`batch_size`], then the loss weights apply to each
corresponding sample.
If `label_smoothing` is nonzero, smooth the labels towards 1/2:
new_multiclass_labels = multiclass_labels * (1 - label_smoothing)
+ 0.5 * label_smoothing
Args:
logits: [batch_size, num_classes] logits outputs of the network .
multi_class_labels: [batch_size, num_classes] labels in (0, 1).
weights: Coefficients for the loss. The tensor must be a scalar, a tensor of
shape [batch_size] or shape [batch_size, num_classes].
label_smoothing: If greater than 0 then smooth the labels.
scope: The scope for the operations performed in computing the loss.
Returns:
A scalar `Tensor` representing the loss value.
Raises:
ValueError: If the shape of `logits` doesn't match that of
`multi_class_labels` or if the shape of `weights` is invalid, or if
`weights` is None.
"""
with ops.name_scope(scope, "sigmoid_cross_entropy_loss",
[logits, multi_class_labels, weights]) as scope:
logits.get_shape().assert_is_compatible_with(multi_class_labels.get_shape())
multi_class_labels = math_ops.cast(multi_class_labels, logits.dtype)
if label_smoothing > 0:
multi_class_labels = (
multi_class_labels * (1 - label_smoothing) + 0.5 * label_smoothing)
losses = nn.sigmoid_cross_entropy_with_logits(
labels=multi_class_labels, logits=logits, name="xentropy")
return compute_weighted_loss(losses, weights, scope=scope)
@deprecated("2016-12-30",
"Use tf.losses.softmax_cross_entropy instead. Note that the order "
"of the logits and labels arguments has been changed.")
def softmax_cross_entropy(logits,
onehot_labels,
weights=1.0,
label_smoothing=0,
scope=None):
"""Creates a cross-entropy loss using tf.nn.softmax_cross_entropy_with_logits.
`weights` acts as a coefficient for the loss. If a scalar is provided,
then the loss is simply scaled by the given value. If `weights` is a
tensor of size [`batch_size`], then the loss weights apply to each
corresponding sample.
If `label_smoothing` is nonzero, smooth the labels towards 1/num_classes:
new_onehot_labels = onehot_labels * (1 - label_smoothing)
+ label_smoothing / num_classes
Args:
logits: [batch_size, num_classes] logits outputs of the network .
onehot_labels: [batch_size, num_classes] one-hot-encoded labels.
weights: Coefficients for the loss. The tensor must be a scalar or a tensor
of shape [batch_size].
label_smoothing: If greater than 0 then smooth the labels.
scope: the scope for the operations performed in computing the loss.
Returns:
A scalar `Tensor` representing the mean loss value.
Raises:
ValueError: If the shape of `logits` doesn't match that of `onehot_labels`
or if the shape of `weights` is invalid or if `weights` is None.
"""
with ops.name_scope(scope, "softmax_cross_entropy_loss",
[logits, onehot_labels, weights]) as scope:
logits.get_shape().assert_is_compatible_with(onehot_labels.get_shape())
onehot_labels = math_ops.cast(onehot_labels, logits.dtype)
if label_smoothing > 0:
num_classes = math_ops.cast(
array_ops.shape(onehot_labels)[1], logits.dtype)
smooth_positives = 1.0 - label_smoothing
smooth_negatives = label_smoothing / num_classes
onehot_labels = onehot_labels * smooth_positives + smooth_negatives
losses = nn.softmax_cross_entropy_with_logits(
labels=onehot_labels, logits=logits, name="xentropy")
return compute_weighted_loss(losses, weights, scope=scope)
@deprecated("2016-12-30",
"Use tf.losses.sparse_softmax_cross_entropy instead. Note that "
"the order of the logits and labels arguments has been changed.")
def sparse_softmax_cross_entropy(logits, labels, weights=1.0, scope=None):
"""Cross-entropy loss using `tf.nn.sparse_softmax_cross_entropy_with_logits`.
`weights` acts as a coefficient for the loss. If a scalar is provided,
then the loss is simply scaled by the given value. If `weights` is a
tensor of size [`batch_size`], then the loss weights apply to each
corresponding sample.
Args:
logits: [batch_size, num_classes] logits outputs of the network .
labels: [batch_size, 1] or [batch_size] labels of dtype `int32` or `int64`
in the range `[0, num_classes)`.
weights: Coefficients for the loss. The tensor must be a scalar or a tensor
of shape [batch_size] or [batch_size, 1].
scope: the scope for the operations performed in computing the loss.
Returns:
A scalar `Tensor` representing the mean loss value.
Raises:
ValueError: If the shapes of `logits`, `labels`, and `weights` are
incompatible, or if `weights` is None.
"""
with ops.name_scope(scope, "sparse_softmax_cross_entropy_loss",
[logits, labels, weights]) as scope:
labels = array_ops.reshape(labels, shape=[array_ops.shape(labels)[0]])
losses = nn.sparse_softmax_cross_entropy_with_logits(
labels=labels, logits=logits, name="xentropy")
return compute_weighted_loss(losses, weights, scope=scope)
@deprecated("2016-12-30",
"Use tf.losses.log_loss instead. Note that the order of the "
"predictions and labels arguments has been changed.")
def log_loss(predictions, labels=None, weights=1.0, epsilon=1e-7, scope=None):
"""Adds a Log Loss term to the training procedure.
`weights` acts as a coefficient for the loss. If a scalar is provided, then
the loss is simply scaled by the given value. If `weights` is a tensor of size
[batch_size], then the total loss for each sample of the batch is rescaled
by the corresponding element in the `weights` vector. If the shape of
`weights` matches the shape of `predictions`, then the loss of each
measurable element of `predictions` is scaled by the corresponding value of
`weights`.
Args:
predictions: The predicted outputs.
labels: The ground truth output tensor, same dimensions as 'predictions'.
weights: Coefficients for the loss a scalar, a tensor of shape
[batch_size] or a tensor whose shape matches `predictions`.
epsilon: A small increment to add to avoid taking a log of zero.
scope: The scope for the operations performed in computing the loss.
Returns:
A scalar `Tensor` representing the loss value.
Raises:
ValueError: If the shape of `predictions` doesn't match that of `labels` or
if the shape of `weights` is invalid.
"""
with ops.name_scope(scope, "log_loss",
[predictions, labels, weights]) as scope:
predictions.get_shape().assert_is_compatible_with(labels.get_shape())
predictions = math_ops.to_float(predictions)
labels = math_ops.to_float(labels)
losses = -math_ops.multiply(
labels, math_ops.log(predictions + epsilon)) - math_ops.multiply(
(1 - labels), math_ops.log(1 - predictions + epsilon))
return compute_weighted_loss(losses, weights, scope=scope)
@deprecated("2016-12-30",
"Use tf.losses.hinge_loss instead. Note that the order of the "
"logits and labels arguments has been changed, and to stay "
"unweighted, reduction=Reduction.NONE")
def hinge_loss(logits, labels=None, scope=None):
"""Method that returns the loss tensor for hinge loss.
Args:
logits: The logits, a float tensor. Note that logits are assumed to be
unbounded and 0-centered. A value > 0 (resp. < 0) is considered a positive
(resp. negative) binary prediction.
labels: The ground truth output tensor. Its shape should match the shape of
logits. The values of the tensor are expected to be 0.0 or 1.0. Internally
the {0,1} labels are converted to {-1,1} when calculating the hinge loss.
scope: The scope for the operations performed in computing the loss.
Returns:
An unweighted `Tensor` of same shape as `logits` and `labels` representing
the
loss values across the batch.
Raises:
ValueError: If the shapes of `logits` and `labels` don't match.
"""
with ops.name_scope(scope, "hinge_loss", [logits, labels]) as scope:
logits.get_shape().assert_is_compatible_with(labels.get_shape())
# We first need to convert binary labels to -1/1 labels (as floats).
labels = math_ops.to_float(labels)
all_ones = array_ops.ones_like(labels)
labels = math_ops.subtract(2 * labels, all_ones)
return nn_ops.relu(
math_ops.subtract(all_ones, math_ops.multiply(labels, logits)))
@deprecated("2016-12-30", "Use tf.losses.mean_squared_error instead.")
def mean_squared_error(predictions, labels=None, weights=1.0, scope=None):
"""Adds a Sum-of-Squares loss to the training procedure.
`weights` acts as a coefficient for the loss. If a scalar is provided, then
the loss is simply scaled by the given value. If `weights` is a tensor of size
[batch_size], then the total loss for each sample of the batch is rescaled
by the corresponding element in the `weights` vector. If the shape of
`weights` matches the shape of `predictions`, then the loss of each
measurable element of `predictions` is scaled by the corresponding value of
`weights`.
Args:
predictions: The predicted outputs.
labels: The ground truth output tensor, same dimensions as 'predictions'.
weights: Coefficients for the loss a scalar, a tensor of shape
[batch_size] or a tensor whose shape matches `predictions`.
scope: The scope for the operations performed in computing the loss.
Returns:
A scalar `Tensor` representing the loss value.
Raises:
ValueError: If the shape of `predictions` doesn't match that of `labels` or
if the shape of `weights` is invalid.
"""
with ops.name_scope(scope, "mean_squared_error",
[predictions, labels, weights]) as scope:
predictions.get_shape().assert_is_compatible_with(labels.get_shape())
predictions = math_ops.to_float(predictions)
labels = math_ops.to_float(labels)
losses = math_ops.square(math_ops.subtract(predictions, labels))
return compute_weighted_loss(losses, weights, scope=scope)
@deprecated("2016-12-30",
"Use tf.losses.mean_pairwise_squared_error instead. Note that the "
"order of the predictions and labels arguments has been changed.")
def mean_pairwise_squared_error(predictions,
labels=None,
weights=1.0,
scope=None):
"""Adds a pairwise-errors-squared loss to the training procedure.
Unlike `mean_squared_error`, which is a measure of the differences between
corresponding elements of `predictions` and `labels`,
`mean_pairwise_squared_error` is a measure of the differences between pairs of
corresponding elements of `predictions` and `labels`.
For example, if `labels`=[a, b, c] and `predictions`=[x, y, z], there are
three pairs of differences are summed to compute the loss:
loss = [ ((a-b) - (x-y)).^2 + ((a-c) - (x-z)).^2 + ((b-c) - (y-z)).^2 ] / 3
Note that since the inputs are of size [batch_size, d0, ... dN], the
corresponding pairs are computed within each batch sample but not across
samples within a batch. For example, if `predictions` represents a batch of
16 grayscale images of dimension [batch_size, 100, 200], then the set of pairs
is drawn from each image, but not across images.
`weights` acts as a coefficient for the loss. If a scalar is provided, then
the loss is simply scaled by the given value. If `weights` is a tensor of size
[batch_size], then the total loss for each sample of the batch is rescaled
by the corresponding element in the `weights` vector.
Args:
predictions: The predicted outputs, a tensor of size [batch_size, d0, .. dN]
where N+1 is the total number of dimensions in `predictions`.
labels: The ground truth output tensor, whose shape must match the shape of
the `predictions` tensor.
weights: Coefficients for the loss a scalar, a tensor of shape [batch_size]
or a tensor whose shape matches `predictions`.
scope: The scope for the operations performed in computing the loss.
Returns:
A scalar `Tensor` representing the loss value.
Raises:
ValueError: If the shape of `predictions` doesn't match that of `labels` or
if the shape of `weights` is invalid.
"""
with ops.name_scope(scope, "mean_pairwise_squared_error",
[predictions, labels, weights]) as scope:
predictions.get_shape().assert_is_compatible_with(labels.get_shape())
predictions = math_ops.to_float(predictions)
labels = math_ops.to_float(labels)
weights = math_ops.to_float(ops.convert_to_tensor(weights))
diffs = math_ops.subtract(predictions, labels)
# Need to verify here since the function doesn't use compute_weighted_loss
if diffs.get_shape().ndims is None:
raise ValueError("diffs.get_shape().ndims cannot be None")
if weights.get_shape().ndims is None:
raise ValueError("weights.get_shape().ndims cannot be None")
reduction_indices = list(range(1, diffs.get_shape().ndims))
sum_squares_diff_per_batch = math_ops.reduce_sum(
math_ops.square(diffs), reduction_indices=reduction_indices)
num_present_per_batch = _num_present(diffs, weights, per_batch=True)
term1 = 2.0 * _safe_div(sum_squares_diff_per_batch, num_present_per_batch)
sum_diff = math_ops.reduce_sum(diffs, reduction_indices=reduction_indices)
term2 = 2.0 * _safe_div(
math_ops.square(sum_diff), math_ops.square(num_present_per_batch))
loss = _scale_losses(term1 - term2, weights)
mean_loss = array_ops.where(
math_ops.reduce_sum(num_present_per_batch) > 0,
loss,
array_ops.zeros_like(loss),
name="value")
add_loss(mean_loss)
return mean_loss
@deprecated("2016-12-30", "Use tf.losses.cosine_distance instead.")
@deprecated_args(None, "dim is deprecated, use axis instead", "dim")
def cosine_distance(predictions,
labels=None,
axis=None,
weights=1.0,
scope=None,
dim=None):
"""Adds a cosine-distance loss to the training procedure.
Note that the function assumes that `predictions` and `labels` are already
unit-normalized.
Args:
predictions: An arbitrary matrix.
labels: A `Tensor` whose shape matches 'predictions'
axis: The dimension along which the cosine distance is computed.
weights: Coefficients for the loss a scalar, a tensor of shape
[batch_size] or a tensor whose shape matches `predictions`.
scope: The scope for the operations performed in computing the loss.
dim: The old (deprecated) name for `axis`.
Returns:
A scalar `Tensor` representing the loss value.
Raises:
ValueError: If `predictions` shape doesn't match `labels` shape, or
`weights` is `None`.
"""
axis = deprecated_argument_lookup(
"axis", axis, "dim", dim)
if axis is None:
raise ValueError("You must specify 'axis'.")
with ops.name_scope(scope, "cosine_distance_loss",
[predictions, labels, weights]) as scope:
predictions.get_shape().assert_is_compatible_with(labels.get_shape())
predictions = math_ops.to_float(predictions)
labels = math_ops.to_float(labels)
radial_diffs = math_ops.multiply(predictions, labels)
losses = 1 - math_ops.reduce_sum(
radial_diffs, reduction_indices=[
axis,
])
return compute_weighted_loss(losses, weights, scope=scope)
| apache-2.0 |
tjanez/ansible | lib/ansible/module_utils/dellos9.py | 47 | 4862 | #
# (c) 2015 Peter Sprygada, <[email protected]>
#
# Copyright (c) 2016 Dell Inc.
#
# 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.
#
# 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 re
from ansible.module_utils.shell import CliBase
from ansible.module_utils.network import register_transport, to_list, Command
from ansible.module_utils.netcfg import NetworkConfig, ConfigLine
def get_config(module):
contents = module.params['config']
if not contents:
contents = module.config.get_config()
module.params['config'] = contents
return NetworkConfig(indent=1, contents=contents[0])
else:
return NetworkConfig(indent=1, contents=contents)
def get_sublevel_config(running_config, module):
contents = list()
current_config_contents = list()
obj = running_config.get_object(module.params['parents'])
if obj:
contents = obj.children
contents[:0] = module.params['parents']
indent = 0
for c in contents:
if isinstance(c, str):
current_config_contents.append(c.rjust(len(c) + indent, ' '))
if isinstance(c, ConfigLine):
current_config_contents.append(c.raw)
indent = indent + 1
sublevel_config = '\n'.join(current_config_contents)
return sublevel_config
class Cli(CliBase):
NET_PASSWD_RE = re.compile(r"[\r\n]?password:\s?$", re.I)
WARNING_PROMPTS_RE = [
re.compile(r"[\r\n]?\[confirm yes/no\]:\s?$"),
re.compile(r"[\r\n]?\[y/n\]:\s?$"),
re.compile(r"[\r\n]?\[yes/no\]:\s?$")
]
CLI_PROMPTS_RE = [
re.compile(r"[\r\n]?[\w+\-\.:\/\[\]]+(?:\([^\)]+\)){,3}(?:>|#) ?$"),
re.compile(r"\[\w+\@[\w\-\.]+(?: [^\]])\] ?[>#\$] ?$")
]
CLI_ERRORS_RE = [
re.compile(r"% ?Error: (?:(?!\bdoes not exist\b)(?!\balready exists\b)(?!\bHost not found\b)(?!\bnot active\b).)*$"),
re.compile(r"% ?Bad secret"),
re.compile(r"invalid input", re.I),
re.compile(r"(?:incomplete|ambiguous) command", re.I),
re.compile(r"connection timed out", re.I),
re.compile(r"'[^']' +returned error code: ?\d+"),
]
def connect(self, params, **kwargs):
super(Cli, self).connect(params, kickstart=False, **kwargs)
self.shell.send('terminal length 0')
def authorize(self, params, **kwargs):
passwd = params['auth_pass']
self.run_commands(
Command('enable', prompt=self.NET_PASSWD_RE, response=passwd)
)
def configure(self, commands, **kwargs):
cmds = ['configure terminal']
cmdlist = list()
for c in to_list(commands):
cmd = Command(c, prompt=self.WARNING_PROMPTS_RE, response='yes')
cmdlist.append(cmd)
cmds.extend(cmdlist)
cmds.append('end')
responses = self.execute(cmds)
responses.pop(0)
return responses
def get_config(self, **kwargs):
return self.execute(['show running-config'])
def load_config(self, commands, **kwargs):
return self.configure(commands)
def save_config(self):
cmdlist = list()
cmd = 'copy running-config startup-config'
cmdlist.append(Command(cmd, prompt=self.WARNING_PROMPTS_RE, response='yes'))
self.execute(cmdlist)
Cli = register_transport('cli', default=True)(Cli)
| gpl-3.0 |
TaylorOshan/pysal | pysal/contrib/glm/links.py | 35 | 20123 | '''
Defines the link functions to be used with GLM and GEE families.
'''
import numpy as np
import scipy.stats
FLOAT_EPS = np.finfo(float).eps
class Link(object):
"""
A generic link function for one-parameter exponential family.
`Link` does nothing, but lays out the methods expected of any subclass.
"""
def __call__(self, p):
"""
Return the value of the link function. This is just a placeholder.
Parameters
----------
p : array-like
Probabilities
Returns
-------
g(p) : array-like
The value of the link function g(p) = z
"""
return NotImplementedError
def inverse(self, z):
"""
Inverse of the link function. Just a placeholder.
Parameters
----------
z : array-like
`z` is usually the linear predictor of the transformed variable
in the IRLS algorithm for GLM.
Returns
-------
g^(-1)(z) : array
The value of the inverse of the link function g^(-1)(z) = p
"""
return NotImplementedError
def deriv(self, p):
"""
Derivative of the link function g'(p). Just a placeholder.
Parameters
----------
p : array-like
Returns
-------
g'(p) : array
The value of the derivative of the link function g'(p)
"""
return NotImplementedError
def deriv2(self, p):
"""Second derivative of the link function g''(p)
implemented through numerical differentiation
"""
from statsmodels.tools.numdiff import approx_fprime_cs
# TODO: workaround proplem with numdiff for 1d
return np.diag(approx_fprime_cs(p, self.deriv))
def inverse_deriv(self, z):
"""
Derivative of the inverse link function g^(-1)(z).
Notes
-----
This reference implementation gives the correct result but is
inefficient, so it can be overriden in subclasses.
Parameters
----------
z : array-like
`z` is usually the linear predictor for a GLM or GEE model.
Returns
-------
g'^(-1)(z) : array
The value of the derivative of the inverse of the link function
"""
return 1 / self.deriv(self.inverse(z))
class Logit(Link):
"""
The logit transform
Notes
-----
call and derivative use a private method _clean to make trim p by
machine epsilon so that p is in (0,1)
Alias of Logit:
logit = Logit()
"""
def _clean(self, p):
"""
Clip logistic values to range (eps, 1-eps)
Parameters
-----------
p : array-like
Probabilities
Returns
--------
pclip : array
Clipped probabilities
"""
return np.clip(p, FLOAT_EPS, 1. - FLOAT_EPS)
def __call__(self, p):
"""
The logit transform
Parameters
----------
p : array-like
Probabilities
Returns
-------
z : array
Logit transform of `p`
Notes
-----
g(p) = log(p / (1 - p))
"""
p = self._clean(p)
return np.log(p / (1. - p))
def inverse(self, z):
"""
Inverse of the logit transform
Parameters
----------
z : array-like
The value of the logit transform at `p`
Returns
-------
p : array
Probabilities
Notes
-----
g^(-1)(z) = exp(z)/(1+exp(z))
"""
z = np.asarray(z)
t = np.exp(-z)
return 1. / (1. + t)
def deriv(self, p):
"""
Derivative of the logit transform
Parameters
----------
p: array-like
Probabilities
Returns
-------
g'(p) : array
Value of the derivative of logit transform at `p`
Notes
-----
g'(p) = 1 / (p * (1 - p))
Alias for `Logit`:
logit = Logit()
"""
p = self._clean(p)
return 1. / (p * (1 - p))
def inverse_deriv(self, z):
"""
Derivative of the inverse of the logit transform
Parameters
----------
z : array-like
`z` is usually the linear predictor for a GLM or GEE model.
Returns
-------
g'^(-1)(z) : array
The value of the derivative of the inverse of the logit function
"""
t = np.exp(z)
return t/(1 + t)**2
def deriv2(self, p):
"""
Second derivative of the logit function.
Parameters
----------
p : array-like
probabilities
Returns
-------
g''(z) : array
The value of the second derivative of the logit function
"""
v = p * (1 - p)
return (2*p - 1) / v**2
class logit(Logit):
pass
class Power(Link):
"""
The power transform
Parameters
----------
power : float
The exponent of the power transform
Notes
-----
Aliases of Power:
inverse = Power(power=-1)
sqrt = Power(power=.5)
inverse_squared = Power(power=-2.)
identity = Power(power=1.)
"""
def __init__(self, power=1.):
self.power = power
def __call__(self, p):
"""
Power transform link function
Parameters
----------
p : array-like
Mean parameters
Returns
-------
z : array-like
Power transform of x
Notes
-----
g(p) = x**self.power
"""
z = np.power(p, self.power)
return z
def inverse(self, z):
"""
Inverse of the power transform link function
Parameters
----------
`z` : array-like
Value of the transformed mean parameters at `p`
Returns
-------
`p` : array
Mean parameters
Notes
-----
g^(-1)(z`) = `z`**(1/`power`)
"""
p = np.power(z, 1. / self.power)
return p
def deriv(self, p):
"""
Derivative of the power transform
Parameters
----------
p : array-like
Mean parameters
Returns
--------
g'(p) : array
Derivative of power transform of `p`
Notes
-----
g'(`p`) = `power` * `p`**(`power` - 1)
"""
return self.power * np.power(p, self.power - 1)
def deriv2(self, p):
"""
Second derivative of the power transform
Parameters
----------
p : array-like
Mean parameters
Returns
--------
g''(p) : array
Second derivative of the power transform of `p`
Notes
-----
g''(`p`) = `power` * (`power` - 1) * `p`**(`power` - 2)
"""
return self.power * (self.power - 1) * np.power(p, self.power - 2)
def inverse_deriv(self, z):
"""
Derivative of the inverse of the power transform
Parameters
----------
z : array-like
`z` is usually the linear predictor for a GLM or GEE model.
Returns
-------
g^(-1)'(z) : array
The value of the derivative of the inverse of the power transform
function
"""
return np.power(z, (1 - self.power)/self.power) / self.power
class inverse_power(Power):
"""
The inverse transform
Notes
-----
g(p) = 1/p
Alias of statsmodels.family.links.Power(power=-1.)
"""
def __init__(self):
super(inverse_power, self).__init__(power=-1.)
class sqrt(Power):
"""
The square-root transform
Notes
-----
g(`p`) = sqrt(`p`)
Alias of statsmodels.family.links.Power(power=.5)
"""
def __init__(self):
super(sqrt, self).__init__(power=.5)
class inverse_squared(Power):
"""
The inverse squared transform
Notes
-----
g(`p`) = 1/(`p`\ \*\*2)
Alias of statsmodels.family.links.Power(power=2.)
"""
def __init__(self):
super(inverse_squared, self).__init__(power=-2.)
class identity(Power):
"""
The identity transform
Notes
-----
g(`p`) = `p`
Alias of statsmodels.family.links.Power(power=1.)
"""
def __init__(self):
super(identity, self).__init__(power=1.)
class Log(Link):
"""
The log transform
Notes
-----
call and derivative call a private method _clean to trim the data by
machine epsilon so that p is in (0,1). log is an alias of Log.
"""
def _clean(self, x):
return np.clip(x, FLOAT_EPS, np.inf)
def __call__(self, p, **extra):
"""
Log transform link function
Parameters
----------
x : array-like
Mean parameters
Returns
-------
z : array
log(x)
Notes
-----
g(p) = log(p)
"""
x = self._clean(p)
return np.log(x)
def inverse(self, z):
"""
Inverse of log transform link function
Parameters
----------
z : array
The inverse of the link function at `p`
Returns
-------
p : array
The mean probabilities given the value of the inverse `z`
Notes
-----
g^{-1}(z) = exp(z)
"""
return np.exp(z)
def deriv(self, p):
"""
Derivative of log transform link function
Parameters
----------
p : array-like
Mean parameters
Returns
-------
g'(p) : array
derivative of log transform of x
Notes
-----
g'(x) = 1/x
"""
p = self._clean(p)
return 1. / p
def deriv2(self, p):
"""
Second derivative of the log transform link function
Parameters
----------
p : array-like
Mean parameters
Returns
-------
g''(p) : array
Second derivative of log transform of x
Notes
-----
g''(x) = -1/x^2
"""
p = self._clean(p)
return -1. / p**2
def inverse_deriv(self, z):
"""
Derivative of the inverse of the log transform link function
Parameters
----------
z : array
The inverse of the link function at `p`
Returns
-------
g^(-1)'(z) : array
The value of the derivative of the inverse of the log function,
the exponential function
"""
return np.exp(z)
class log(Log):
"""
The log transform
Notes
-----
log is a an alias of Log.
"""
pass
# TODO: the CDFLink is untested
class CDFLink(Logit):
"""
The use the CDF of a scipy.stats distribution
CDFLink is a subclass of logit in order to use its _clean method
for the link and its derivative.
Parameters
----------
dbn : scipy.stats distribution
Default is dbn=scipy.stats.norm
Notes
-----
The CDF link is untested.
"""
def __init__(self, dbn=scipy.stats.norm):
self.dbn = dbn
def __call__(self, p):
"""
CDF link function
Parameters
----------
p : array-like
Mean parameters
Returns
-------
z : array
(ppf) inverse of CDF transform of p
Notes
-----
g(`p`) = `dbn`.ppf(`p`)
"""
p = self._clean(p)
return self.dbn.ppf(p)
def inverse(self, z):
"""
The inverse of the CDF link
Parameters
----------
z : array-like
The value of the inverse of the link function at `p`
Returns
-------
p : array
Mean probabilities. The value of the inverse of CDF link of `z`
Notes
-----
g^(-1)(`z`) = `dbn`.cdf(`z`)
"""
return self.dbn.cdf(z)
def deriv(self, p):
"""
Derivative of CDF link
Parameters
----------
p : array-like
mean parameters
Returns
-------
g'(p) : array
The derivative of CDF transform at `p`
Notes
-----
g'(`p`) = 1./ `dbn`.pdf(`dbn`.ppf(`p`))
"""
p = self._clean(p)
return 1. / self.dbn.pdf(self.dbn.ppf(p))
def deriv2(self, p):
"""
Second derivative of the link function g''(p)
implemented through numerical differentiation
"""
from statsmodels.tools.numdiff import approx_fprime
p = np.atleast_1d(p)
# Note: special function for norm.ppf does not support complex
return np.diag(approx_fprime(p, self.deriv, centered=True))
def inverse_deriv(self, z):
"""
Derivative of the inverse of the CDF transformation link function
Parameters
----------
z : array
The inverse of the link function at `p`
Returns
-------
g^(-1)'(z) : array
The value of the derivative of the inverse of the logit function
"""
return 1/self.deriv(self.inverse(z))
class probit(CDFLink):
"""
The probit (standard normal CDF) transform
Notes
--------
g(p) = scipy.stats.norm.ppf(p)
probit is an alias of CDFLink.
"""
pass
class cauchy(CDFLink):
"""
The Cauchy (standard Cauchy CDF) transform
Notes
-----
g(p) = scipy.stats.cauchy.ppf(p)
cauchy is an alias of CDFLink with dbn=scipy.stats.cauchy
"""
def __init__(self):
super(cauchy, self).__init__(dbn=scipy.stats.cauchy)
def deriv2(self, p):
"""
Second derivative of the Cauchy link function.
Parameters
----------
p: array-like
Probabilities
Returns
-------
g''(p) : array
Value of the second derivative of Cauchy link function at `p`
"""
a = np.pi * (p - 0.5)
d2 = 2 * np.pi**2 * np.sin(a) / np.cos(a)**3
return d2
class CLogLog(Logit):
"""
The complementary log-log transform
CLogLog inherits from Logit in order to have access to its _clean method
for the link and its derivative.
Notes
-----
CLogLog is untested.
"""
def __call__(self, p):
"""
C-Log-Log transform link function
Parameters
----------
p : array
Mean parameters
Returns
-------
z : array
The CLogLog transform of `p`
Notes
-----
g(p) = log(-log(1-p))
"""
p = self._clean(p)
return np.log(-np.log(1 - p))
def inverse(self, z):
"""
Inverse of C-Log-Log transform link function
Parameters
----------
z : array-like
The value of the inverse of the CLogLog link function at `p`
Returns
-------
p : array
Mean parameters
Notes
-----
g^(-1)(`z`) = 1-exp(-exp(`z`))
"""
return 1 - np.exp(-np.exp(z))
def deriv(self, p):
"""
Derivative of C-Log-Log transform link function
Parameters
----------
p : array-like
Mean parameters
Returns
-------
g'(p) : array
The derivative of the CLogLog transform link function
Notes
-----
g'(p) = - 1 / ((p-1)*log(1-p))
"""
p = self._clean(p)
return 1. / ((p - 1) * (np.log(1 - p)))
def deriv2(self, p):
"""
Second derivative of the C-Log-Log ink function
Parameters
----------
p : array-like
Mean parameters
Returns
-------
g''(p) : array
The second derivative of the CLogLog link function
"""
p = self._clean(p)
fl = np.log(1 - p)
d2 = -1 / ((1 - p)**2 * fl)
d2 *= 1 + 1 / fl
return d2
def inverse_deriv(self, z):
"""
Derivative of the inverse of the C-Log-Log transform link function
Parameters
----------
z : array-like
The value of the inverse of the CLogLog link function at `p`
Returns
-------
g^(-1)'(z) : array
The derivative of the inverse of the CLogLog link function
"""
return np.exp(z - np.exp(z))
class cloglog(CLogLog):
"""
The CLogLog transform link function.
Notes
-----
g(`p`) = log(-log(1-`p`))
cloglog is an alias for CLogLog
cloglog = CLogLog()
"""
pass
class NegativeBinomial(object):
'''
The negative binomial link function
Parameters
----------
alpha : float, optional
Alpha is the ancillary parameter of the Negative Binomial link
function. It is assumed to be nonstochastic. The default value is 1.
Permissible values are usually assumed to be in (.01, 2).
'''
def __init__(self, alpha=1.):
self.alpha = alpha
def _clean(self, x):
return np.clip(x, FLOAT_EPS, np.inf)
def __call__(self, p):
'''
Negative Binomial transform link function
Parameters
----------
p : array-like
Mean parameters
Returns
-------
z : array
The negative binomial transform of `p`
Notes
-----
g(p) = log(p/(p + 1/alpha))
'''
p = self._clean(p)
return np.log(p/(p + 1/self.alpha))
def inverse(self, z):
'''
Inverse of the negative binomial transform
Parameters
-----------
z : array-like
The value of the inverse of the negative binomial link at `p`.
Returns
-------
p : array
Mean parameters
Notes
-----
g^(-1)(z) = exp(z)/(alpha*(1-exp(z)))
'''
return -1/(self.alpha * (1 - np.exp(-z)))
def deriv(self, p):
'''
Derivative of the negative binomial transform
Parameters
----------
p : array-like
Mean parameters
Returns
-------
g'(p) : array
The derivative of the negative binomial transform link function
Notes
-----
g'(x) = 1/(x+alpha*x^2)
'''
return 1/(p + self.alpha * p**2)
def deriv2(self,p):
'''
Second derivative of the negative binomial link function.
Parameters
----------
p : array-like
Mean parameters
Returns
-------
g''(p) : array
The second derivative of the negative binomial transform link
function
Notes
-----
g''(x) = -(1+2*alpha*x)/(x+alpha*x^2)^2
'''
numer = -(1 + 2 * self.alpha * p)
denom = (p + self.alpha * p**2)**2
return numer / denom
def inverse_deriv(self, z):
'''
Derivative of the inverse of the negative binomial transform
Parameters
-----------
z : array-like
Usually the linear predictor for a GLM or GEE model
Returns
-------
g^(-1)'(z) : array
The value of the derivative of the inverse of the negative
binomial link
'''
t = np.exp(z)
return t / (self.alpha * (1-t)**2)
class nbinom(NegativeBinomial):
"""
The negative binomial link function.
Notes
-----
g(p) = log(p/(p + 1/alpha))
nbinom is an alias of NegativeBinomial.
nbinom = NegativeBinomial(alpha=1.)
"""
pass
| bsd-3-clause |
athena-voice/athena-voice-client | athena/modules/active/athena_control.py | 1 | 1425 | """
Finds and returns the latest bitcoin price
Usage Examples:
- "What is the price of bitcoin?"
- "How much is a bitcoin worth?"
"""
from athena.classes.module import Module
from athena.classes.task import ActiveTask
from athena import brain
class QuitTask(ActiveTask):
def __init__(self):
super().__init__(patterns=[r'\b(athena )?(quit|stop)\b.*'])
def action(self, text):
brain.inst.quit()
class ListModulesTask(ActiveTask):
def __init__(self):
super().__init__(words=['list modules', 'list mods'])
def action(self, text):
brain.inst.list_mods()
class ToggleModuleTask(ActiveTask):
def __init__(self):
super().__init__(patterns=[r'.*\b(enable|add|disable|remove) (.*)'])
self.groups = {1: 'enable', 2: 'module'}
def match(self, text):
return self.match_and_save_groups(text, self.groups)
def action(self, text):
mod_name = self.module.lower().strip().replace(' ', '_')
if 'disable' in self.enable.lower() or 'remove' in self.enable.lower():
brain.inst.disable_mod(mod_name)
else:
brain.inst.enable_mod(mod_name)
class AthenaControl(Module):
def __init__(self):
tasks = [QuitTask(), ListModulesTask(), ToggleModuleTask()]
super().__init__('athena_control', tasks, priority=3)
| gpl-3.0 |
jumpstarter-io/neutron | neutron/tests/unit/ryu/test_ryu_plugin.py | 9 | 1570 | # Copyright (c) 2012 OpenStack Foundation.
#
# 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 neutron import manager
from neutron.tests.unit.ryu import fake_ryu
from neutron.tests.unit import test_db_plugin as test_plugin
class RyuPluginV2TestCase(test_plugin.NeutronDbPluginV2TestCase):
_plugin_name = 'neutron.plugins.ryu.ryu_neutron_plugin.RyuNeutronPluginV2'
def setUp(self):
self.ryu_patcher = fake_ryu.patch_fake_ryu_client()
self.ryu_patcher.start()
super(RyuPluginV2TestCase, self).setUp(self._plugin_name)
self.addCleanup(self.ryu_patcher.stop)
plugin = manager.NeutronManager.get_plugin()
plugin.notifier = mock.Mock()
class TestRyuBasicGet(test_plugin.TestBasicGet, RyuPluginV2TestCase):
pass
class TestRyuV2HTTPResponse(test_plugin.TestV2HTTPResponse,
RyuPluginV2TestCase):
pass
class TestRyuPortsV2(test_plugin.TestPortsV2, RyuPluginV2TestCase):
pass
class TestRyuNetworksV2(test_plugin.TestNetworksV2, RyuPluginV2TestCase):
pass
| apache-2.0 |
TimBuckley/effective_django | tests/custom_pk/fields.py | 33 | 1629 | import random
import string
from django.db import models
from django.utils import six
from django.utils.encoding import python_2_unicode_compatible
@python_2_unicode_compatible
class MyWrapper(object):
def __init__(self, value):
self.value = value
def __repr__(self):
return "<%s: %s>" % (self.__class__.__name__, self.value)
def __str__(self):
return self.value
def __eq__(self, other):
if isinstance(other, self.__class__):
return self.value == other.value
return self.value == other
class MyAutoField(six.with_metaclass(models.SubfieldBase, models.CharField)):
def __init__(self, *args, **kwargs):
kwargs['max_length'] = 10
super(MyAutoField, self).__init__(*args, **kwargs)
def pre_save(self, instance, add):
value = getattr(instance, self.attname, None)
if not value:
value = MyWrapper(''.join(random.sample(string.ascii_lowercase, 10)))
setattr(instance, self.attname, value)
return value
def to_python(self, value):
if not value:
return
if not isinstance(value, MyWrapper):
value = MyWrapper(value)
return value
def get_db_prep_save(self, value, connection):
if not value:
return
if isinstance(value, MyWrapper):
return six.text_type(value)
return value
def get_db_prep_value(self, value, connection, prepared=False):
if not value:
return
if isinstance(value, MyWrapper):
return six.text_type(value)
return value
| bsd-3-clause |
CeltonMcGrath/TACTIC | 3rd_party/CherryPy/cherrypy/test/modfcgid.py | 6 | 4258 | """Wrapper for mod_fcgid, for use as a CherryPy HTTP server when testing.
To autostart fcgid, the "apache" executable or script must be
on your system path, or you must override the global APACHE_PATH.
On some platforms, "apache" may be called "apachectl", "apache2ctl",
or "httpd"--create a symlink to them if needed.
You'll also need the WSGIServer from flup.servers.
See http://projects.amor.org/misc/wiki/ModPythonGateway
KNOWN BUGS
==========
1. Apache processes Range headers automatically; CherryPy's truncated
output is then truncated again by Apache. See test_core.testRanges.
This was worked around in http://www.cherrypy.org/changeset/1319.
2. Apache does not allow custom HTTP methods like CONNECT as per the spec.
See test_core.testHTTPMethods.
3. Max request header and body settings do not work with Apache.
4. Apache replaces status "reason phrases" automatically. For example,
CherryPy may set "304 Not modified" but Apache will write out
"304 Not Modified" (capital "M").
5. Apache does not allow custom error codes as per the spec.
6. Apache (or perhaps modpython, or modpython_gateway) unquotes %xx in the
Request-URI too early.
7. mod_python will not read request bodies which use the "chunked"
transfer-coding (it passes REQUEST_CHUNKED_ERROR to ap_setup_client_block
instead of REQUEST_CHUNKED_DECHUNK, see Apache2's http_protocol.c and
mod_python's requestobject.c).
8. Apache will output a "Content-Length: 0" response header even if there's
no response entity body. This isn't really a bug; it just differs from
the CherryPy default.
"""
import os
curdir = os.path.join(os.getcwd(), os.path.dirname(__file__))
import re
import sys
import time
import cherrypy
from cherrypy.process import plugins, servers
from cherrypy.test import test
def read_process(cmd, args=""):
pipein, pipeout = os.popen4("%s %s" % (cmd, args))
try:
firstline = pipeout.readline()
if (re.search(r"(not recognized|No such file|not found)", firstline,
re.IGNORECASE)):
raise IOError('%s must be on your system path.' % cmd)
output = firstline + pipeout.read()
finally:
pipeout.close()
return output
APACHE_PATH = "httpd"
CONF_PATH = "fcgi.conf"
conf_fcgid = """
# Apache2 server conf file for testing CherryPy with mod_fcgid.
DocumentRoot "%(root)s"
ServerName 127.0.0.1
Listen %(port)s
LoadModule fastcgi_module modules/mod_fastcgi.dll
LoadModule rewrite_module modules/mod_rewrite.so
Options ExecCGI
SetHandler fastcgi-script
RewriteEngine On
RewriteRule ^(.*)$ /fastcgi.pyc [L]
FastCgiExternalServer "%(server)s" -host 127.0.0.1:4000
"""
class ModFCGISupervisor(test.LocalSupervisor):
using_apache = True
using_wsgi = True
template = conf_fcgid
def __str__(self):
return "FCGI Server on %s:%s" % (self.host, self.port)
def start(self, modulename):
cherrypy.server.httpserver = servers.FlupFCGIServer(
application=cherrypy.tree, bindAddress=('127.0.0.1', 4000))
cherrypy.server.httpserver.bind_addr = ('127.0.0.1', 4000)
# For FCGI, we both start apache...
self.start_apache()
# ...and our local server
test.LocalServer.start(self, modulename)
def start_apache(self):
fcgiconf = CONF_PATH
if not os.path.isabs(fcgiconf):
fcgiconf = os.path.join(curdir, fcgiconf)
# Write the Apache conf file.
f = open(fcgiconf, 'wb')
try:
server = repr(os.path.join(curdir, 'fastcgi.pyc'))[1:-1]
output = self.template % {'port': self.port, 'root': curdir,
'server': server}
output = output.replace('\r\n', '\n')
f.write(output)
finally:
f.close()
result = read_process(APACHE_PATH, "-k start -f %s" % fcgiconf)
if result:
print(result)
def stop(self):
"""Gracefully shutdown a server that is serving forever."""
read_process(APACHE_PATH, "-k stop")
test.LocalServer.stop(self)
def sync_apps(self):
cherrypy.server.httpserver.fcgiserver.application = self.get_app()
| epl-1.0 |
bergercookie/Pump3000 | for_keep/final_code/device_configuration.py | 1 | 1621 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'new_dev.ui'
#
# Created: Sun Jun 8 13:50:08 2014
# by: pyside-uic 0.2.15 running on PySide 1.2.1
#
# WARNING! All changes made in this file will be lost!
from PySide import QtCore, QtGui
class Ui_Dialog(object):
def setupUi(self, Dialog):
Dialog.setObjectName("Dialog")
Dialog.resize(619, 391)
self.horizontalLayout_2 = QtGui.QHBoxLayout(Dialog)
self.horizontalLayout_2.setObjectName("horizontalLayout_2")
self.horizontalLayout = QtGui.QHBoxLayout()
self.horizontalLayout.setObjectName("horizontalLayout")
self.listWidget = QtGui.QListWidget(Dialog)
self.listWidget.setObjectName("listWidget")
self.horizontalLayout.addWidget(self.listWidget)
self.horizontalLayout_2.addLayout(self.horizontalLayout)
self.buttonBox = QtGui.QDialogButtonBox(Dialog)
self.buttonBox.setOrientation(QtCore.Qt.Vertical)
self.buttonBox.setStandardButtons(QtGui.QDialogButtonBox.Cancel|QtGui.QDialogButtonBox.Ok)
self.buttonBox.setObjectName("buttonBox")
self.horizontalLayout_2.addWidget(self.buttonBox)
self.retranslateUi(Dialog)
QtCore.QObject.connect(self.buttonBox, QtCore.SIGNAL("accepted()"), Dialog.accept)
QtCore.QObject.connect(self.buttonBox, QtCore.SIGNAL("rejected()"), Dialog.reject)
QtCore.QMetaObject.connectSlotsByName(Dialog)
def retranslateUi(self, Dialog):
Dialog.setWindowTitle(QtGui.QApplication.translate("Dialog", "Dialog", None, QtGui.QApplication.UnicodeUTF8))
| bsd-2-clause |
FrankTsui/robust_rescaled_svm | common.py | 1 | 1636 | import numpy as np
import matplotlib.pyplot as plt
def plot_decision_function(classifier, fea, gnd, title):
'''
plot the decision function in 2-d plane
classifiers: the svm models
fea: array like, shape = (smp_num, fea_num)
gnd: array like, shape = (smp_num,)
title: title of plot
'''
fea_min = fea.min(axis = 0)
fea_max = fea.max(axis = 0)
mesh_num = 100
# meshgrid
xx, yy = np.meshgrid(np.linspace(fea_min[0], fea_max[0], mesh_num), \
np.linspace(fea_min[1], fea_max[1], mesh_num))
Z = classifier.decision_function(np.c_[xx.ravel(), yy.ravel()], last_model_flag = False)
Z_first = Z[:, 0].copy()
Z_last = Z[:, -1].copy()
Z_first = Z_first.reshape(xx.shape)
Z_last = Z_last.reshape(xx.shape)
del Z
# plot the line, the points
leg_svm = plt.contour(xx, yy, Z_first, levels = [0.0], colors = 'k')
leg_rsvm = plt.contour(xx, yy, Z_last, levels = [0.0], colors = 'r')
posi_index = gnd == 1
nega_index = gnd == -1
marker_size = 70
plt.scatter(fea[:, 0], fea[:, 1], marker = 'o', \
s = classifier.smp_weights_mat[:, -1] * marker_size * 4, c = 'w', alpha = 1.0, edgecolors = 'm', label = 'weights')
plt.scatter(fea[posi_index, 0], fea[posi_index, 1], marker = '^', s = marker_size, c = 'g', alpha = 0.8, label = 'posi')
plt.scatter(fea[nega_index, 0], fea[nega_index, 1], marker = 'x', s = marker_size, c = 'b', label = 'nega')
leg_svm.collections[0].set_label('svm')
leg_rsvm.collections[0].set_label('rsvm')
plt.legend(loc = 'upper left')
plt.axis('on')
plt.title(title) | apache-2.0 |
JeanKossaifi/scikit-learn | sklearn/tree/tests/test_tree.py | 48 | 47506 | """
Testing for the tree module (sklearn.tree).
"""
import pickle
from functools import partial
from itertools import product
import platform
import numpy as np
from scipy.sparse import csc_matrix
from scipy.sparse import csr_matrix
from scipy.sparse import coo_matrix
from sklearn.random_projection import sparse_random_matrix
from sklearn.metrics import accuracy_score
from sklearn.metrics import mean_squared_error
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_in
from sklearn.utils.testing import assert_raises
from sklearn.utils.testing import assert_greater
from sklearn.utils.testing import assert_greater_equal
from sklearn.utils.testing import assert_less
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import raises
from sklearn.utils.validation import check_random_state
from sklearn.utils.validation import NotFittedError
from sklearn.utils.testing import ignore_warnings
from sklearn.tree import DecisionTreeClassifier
from sklearn.tree import DecisionTreeRegressor
from sklearn.tree import ExtraTreeClassifier
from sklearn.tree import ExtraTreeRegressor
from sklearn import tree
from sklearn.tree.tree import SPARSE_SPLITTERS
from sklearn.tree._tree import TREE_LEAF
from sklearn import datasets
from sklearn.preprocessing._weights import _balance_weights
CLF_CRITERIONS = ("gini", "entropy")
REG_CRITERIONS = ("mse", )
CLF_TREES = {
"DecisionTreeClassifier": DecisionTreeClassifier,
"Presort-DecisionTreeClassifier": partial(DecisionTreeClassifier,
splitter="presort-best"),
"ExtraTreeClassifier": ExtraTreeClassifier,
}
REG_TREES = {
"DecisionTreeRegressor": DecisionTreeRegressor,
"Presort-DecisionTreeRegressor": partial(DecisionTreeRegressor,
splitter="presort-best"),
"ExtraTreeRegressor": ExtraTreeRegressor,
}
ALL_TREES = dict()
ALL_TREES.update(CLF_TREES)
ALL_TREES.update(REG_TREES)
SPARSE_TREES = [name for name, Tree in ALL_TREES.items()
if Tree().splitter in SPARSE_SPLITTERS]
X_small = np.array([
[0, 0, 4, 0, 0, 0, 1, -14, 0, -4, 0, 0, 0, 0, ],
[0, 0, 5, 3, 0, -4, 0, 0, 1, -5, 0.2, 0, 4, 1, ],
[-1, -1, 0, 0, -4.5, 0, 0, 2.1, 1, 0, 0, -4.5, 0, 1, ],
[-1, -1, 0, -1.2, 0, 0, 0, 0, 0, 0, 0.2, 0, 0, 1, ],
[-1, -1, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 1, ],
[-1, -2, 0, 4, -3, 10, 4, 0, -3.2, 0, 4, 3, -4, 1, ],
[2.11, 0, -6, -0.5, 0, 11, 0, 0, -3.2, 6, 0.5, 0, -3, 1, ],
[2.11, 0, -6, -0.5, 0, 11, 0, 0, -3.2, 6, 0, 0, -2, 1, ],
[2.11, 8, -6, -0.5, 0, 11, 0, 0, -3.2, 6, 0, 0, -2, 1, ],
[2.11, 8, -6, -0.5, 0, 11, 0, 0, -3.2, 6, 0.5, 0, -1, 0, ],
[2, 8, 5, 1, 0.5, -4, 10, 0, 1, -5, 3, 0, 2, 0, ],
[2, 0, 1, 1, 1, -1, 1, 0, 0, -2, 3, 0, 1, 0, ],
[2, 0, 1, 2, 3, -1, 10, 2, 0, -1, 1, 2, 2, 0, ],
[1, 1, 0, 2, 2, -1, 1, 2, 0, -5, 1, 2, 3, 0, ],
[3, 1, 0, 3, 0, -4, 10, 0, 1, -5, 3, 0, 3, 1, ],
[2.11, 8, -6, -0.5, 0, 1, 0, 0, -3.2, 6, 0.5, 0, -3, 1, ],
[2.11, 8, -6, -0.5, 0, 1, 0, 0, -3.2, 6, 1.5, 1, -1, -1, ],
[2.11, 8, -6, -0.5, 0, 10, 0, 0, -3.2, 6, 0.5, 0, -1, -1, ],
[2, 0, 5, 1, 0.5, -2, 10, 0, 1, -5, 3, 1, 0, -1, ],
[2, 0, 1, 1, 1, -2, 1, 0, 0, -2, 0, 0, 0, 1, ],
[2, 1, 1, 1, 2, -1, 10, 2, 0, -1, 0, 2, 1, 1, ],
[1, 1, 0, 0, 1, -3, 1, 2, 0, -5, 1, 2, 1, 1, ],
[3, 1, 0, 1, 0, -4, 1, 0, 1, -2, 0, 0, 1, 0, ]])
y_small = [1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0,
0, 0]
y_small_reg = [1.0, 2.1, 1.2, 0.05, 10, 2.4, 3.1, 1.01, 0.01, 2.98, 3.1, 1.1,
0.0, 1.2, 2, 11, 0, 0, 4.5, 0.201, 1.06, 0.9, 0]
# toy sample
X = [[-2, -1], [-1, -1], [-1, -2], [1, 1], [1, 2], [2, 1]]
y = [-1, -1, -1, 1, 1, 1]
T = [[-1, -1], [2, 2], [3, 2]]
true_result = [-1, 1, 1]
# also load the iris dataset
# and randomly permute it
iris = datasets.load_iris()
rng = np.random.RandomState(1)
perm = rng.permutation(iris.target.size)
iris.data = iris.data[perm]
iris.target = iris.target[perm]
# also load the boston dataset
# and randomly permute it
boston = datasets.load_boston()
perm = rng.permutation(boston.target.size)
boston.data = boston.data[perm]
boston.target = boston.target[perm]
digits = datasets.load_digits()
perm = rng.permutation(digits.target.size)
digits.data = digits.data[perm]
digits.target = digits.target[perm]
random_state = check_random_state(0)
X_multilabel, y_multilabel = datasets.make_multilabel_classification(
random_state=0, n_samples=30, n_features=10)
X_sparse_pos = random_state.uniform(size=(20, 5))
X_sparse_pos[X_sparse_pos <= 0.8] = 0.
y_random = random_state.randint(0, 4, size=(20, ))
X_sparse_mix = sparse_random_matrix(20, 10, density=0.25, random_state=0)
DATASETS = {
"iris": {"X": iris.data, "y": iris.target},
"boston": {"X": boston.data, "y": boston.target},
"digits": {"X": digits.data, "y": digits.target},
"toy": {"X": X, "y": y},
"clf_small": {"X": X_small, "y": y_small},
"reg_small": {"X": X_small, "y": y_small_reg},
"multilabel": {"X": X_multilabel, "y": y_multilabel},
"sparse-pos": {"X": X_sparse_pos, "y": y_random},
"sparse-neg": {"X": - X_sparse_pos, "y": y_random},
"sparse-mix": {"X": X_sparse_mix, "y": y_random},
"zeros": {"X": np.zeros((20, 3)), "y": y_random}
}
for name in DATASETS:
DATASETS[name]["X_sparse"] = csc_matrix(DATASETS[name]["X"])
def assert_tree_equal(d, s, message):
assert_equal(s.node_count, d.node_count,
"{0}: inequal number of node ({1} != {2})"
"".format(message, s.node_count, d.node_count))
assert_array_equal(d.children_right, s.children_right,
message + ": inequal children_right")
assert_array_equal(d.children_left, s.children_left,
message + ": inequal children_left")
external = d.children_right == TREE_LEAF
internal = np.logical_not(external)
assert_array_equal(d.feature[internal], s.feature[internal],
message + ": inequal features")
assert_array_equal(d.threshold[internal], s.threshold[internal],
message + ": inequal threshold")
assert_array_equal(d.n_node_samples.sum(), s.n_node_samples.sum(),
message + ": inequal sum(n_node_samples)")
assert_array_equal(d.n_node_samples, s.n_node_samples,
message + ": inequal n_node_samples")
assert_almost_equal(d.impurity, s.impurity,
err_msg=message + ": inequal impurity")
assert_array_almost_equal(d.value[external], s.value[external],
err_msg=message + ": inequal value")
def test_classification_toy():
# Check classification on a toy dataset.
for name, Tree in CLF_TREES.items():
clf = Tree(random_state=0)
clf.fit(X, y)
assert_array_equal(clf.predict(T), true_result,
"Failed with {0}".format(name))
clf = Tree(max_features=1, random_state=1)
clf.fit(X, y)
assert_array_equal(clf.predict(T), true_result,
"Failed with {0}".format(name))
def test_weighted_classification_toy():
# Check classification on a weighted toy dataset.
for name, Tree in CLF_TREES.items():
clf = Tree(random_state=0)
clf.fit(X, y, sample_weight=np.ones(len(X)))
assert_array_equal(clf.predict(T), true_result,
"Failed with {0}".format(name))
clf.fit(X, y, sample_weight=np.ones(len(X)) * 0.5)
assert_array_equal(clf.predict(T), true_result,
"Failed with {0}".format(name))
def test_regression_toy():
# Check regression on a toy dataset.
for name, Tree in REG_TREES.items():
reg = Tree(random_state=1)
reg.fit(X, y)
assert_almost_equal(reg.predict(T), true_result,
err_msg="Failed with {0}".format(name))
clf = Tree(max_features=1, random_state=1)
clf.fit(X, y)
assert_almost_equal(reg.predict(T), true_result,
err_msg="Failed with {0}".format(name))
def test_xor():
# Check on a XOR problem
y = np.zeros((10, 10))
y[:5, :5] = 1
y[5:, 5:] = 1
gridx, gridy = np.indices(y.shape)
X = np.vstack([gridx.ravel(), gridy.ravel()]).T
y = y.ravel()
for name, Tree in CLF_TREES.items():
clf = Tree(random_state=0)
clf.fit(X, y)
assert_equal(clf.score(X, y), 1.0,
"Failed with {0}".format(name))
clf = Tree(random_state=0, max_features=1)
clf.fit(X, y)
assert_equal(clf.score(X, y), 1.0,
"Failed with {0}".format(name))
def test_iris():
# Check consistency on dataset iris.
for (name, Tree), criterion in product(CLF_TREES.items(), CLF_CRITERIONS):
clf = Tree(criterion=criterion, random_state=0)
clf.fit(iris.data, iris.target)
score = accuracy_score(clf.predict(iris.data), iris.target)
assert_greater(score, 0.9,
"Failed with {0}, criterion = {1} and score = {2}"
"".format(name, criterion, score))
clf = Tree(criterion=criterion, max_features=2, random_state=0)
clf.fit(iris.data, iris.target)
score = accuracy_score(clf.predict(iris.data), iris.target)
assert_greater(score, 0.5,
"Failed with {0}, criterion = {1} and score = {2}"
"".format(name, criterion, score))
def test_boston():
# Check consistency on dataset boston house prices.
for (name, Tree), criterion in product(REG_TREES.items(), REG_CRITERIONS):
reg = Tree(criterion=criterion, random_state=0)
reg.fit(boston.data, boston.target)
score = mean_squared_error(boston.target, reg.predict(boston.data))
assert_less(score, 1,
"Failed with {0}, criterion = {1} and score = {2}"
"".format(name, criterion, score))
# using fewer features reduces the learning ability of this tree,
# but reduces training time.
reg = Tree(criterion=criterion, max_features=6, random_state=0)
reg.fit(boston.data, boston.target)
score = mean_squared_error(boston.target, reg.predict(boston.data))
assert_less(score, 2,
"Failed with {0}, criterion = {1} and score = {2}"
"".format(name, criterion, score))
def test_probability():
# Predict probabilities using DecisionTreeClassifier.
for name, Tree in CLF_TREES.items():
clf = Tree(max_depth=1, max_features=1, random_state=42)
clf.fit(iris.data, iris.target)
prob_predict = clf.predict_proba(iris.data)
assert_array_almost_equal(np.sum(prob_predict, 1),
np.ones(iris.data.shape[0]),
err_msg="Failed with {0}".format(name))
assert_array_equal(np.argmax(prob_predict, 1),
clf.predict(iris.data),
err_msg="Failed with {0}".format(name))
assert_almost_equal(clf.predict_proba(iris.data),
np.exp(clf.predict_log_proba(iris.data)), 8,
err_msg="Failed with {0}".format(name))
def test_arrayrepr():
# Check the array representation.
# Check resize
X = np.arange(10000)[:, np.newaxis]
y = np.arange(10000)
for name, Tree in REG_TREES.items():
reg = Tree(max_depth=None, random_state=0)
reg.fit(X, y)
def test_pure_set():
# Check when y is pure.
X = [[-2, -1], [-1, -1], [-1, -2], [1, 1], [1, 2], [2, 1]]
y = [1, 1, 1, 1, 1, 1]
for name, TreeClassifier in CLF_TREES.items():
clf = TreeClassifier(random_state=0)
clf.fit(X, y)
assert_array_equal(clf.predict(X), y,
err_msg="Failed with {0}".format(name))
for name, TreeRegressor in REG_TREES.items():
reg = TreeRegressor(random_state=0)
reg.fit(X, y)
assert_almost_equal(clf.predict(X), y,
err_msg="Failed with {0}".format(name))
def test_numerical_stability():
# Check numerical stability.
X = np.array([
[152.08097839, 140.40744019, 129.75102234, 159.90493774],
[142.50700378, 135.81935120, 117.82884979, 162.75781250],
[127.28772736, 140.40744019, 129.75102234, 159.90493774],
[132.37025452, 143.71923828, 138.35694885, 157.84558105],
[103.10237122, 143.71928406, 138.35696411, 157.84559631],
[127.71276855, 143.71923828, 138.35694885, 157.84558105],
[120.91514587, 140.40744019, 129.75102234, 159.90493774]])
y = np.array(
[1., 0.70209277, 0.53896582, 0., 0.90914464, 0.48026916, 0.49622521])
with np.errstate(all="raise"):
for name, Tree in REG_TREES.items():
reg = Tree(random_state=0)
reg.fit(X, y)
reg.fit(X, -y)
reg.fit(-X, y)
reg.fit(-X, -y)
def test_importances():
# Check variable importances.
X, y = datasets.make_classification(n_samples=2000,
n_features=10,
n_informative=3,
n_redundant=0,
n_repeated=0,
shuffle=False,
random_state=0)
for name, Tree in CLF_TREES.items():
clf = Tree(random_state=0)
clf.fit(X, y)
importances = clf.feature_importances_
n_important = np.sum(importances > 0.1)
assert_equal(importances.shape[0], 10, "Failed with {0}".format(name))
assert_equal(n_important, 3, "Failed with {0}".format(name))
X_new = clf.transform(X, threshold="mean")
assert_less(0, X_new.shape[1], "Failed with {0}".format(name))
assert_less(X_new.shape[1], X.shape[1], "Failed with {0}".format(name))
# Check on iris that importances are the same for all builders
clf = DecisionTreeClassifier(random_state=0)
clf.fit(iris.data, iris.target)
clf2 = DecisionTreeClassifier(random_state=0,
max_leaf_nodes=len(iris.data))
clf2.fit(iris.data, iris.target)
assert_array_equal(clf.feature_importances_,
clf2.feature_importances_)
@raises(ValueError)
def test_importances_raises():
# Check if variable importance before fit raises ValueError.
clf = DecisionTreeClassifier()
clf.feature_importances_
def test_importances_gini_equal_mse():
# Check that gini is equivalent to mse for binary output variable
X, y = datasets.make_classification(n_samples=2000,
n_features=10,
n_informative=3,
n_redundant=0,
n_repeated=0,
shuffle=False,
random_state=0)
# The gini index and the mean square error (variance) might differ due
# to numerical instability. Since those instabilities mainly occurs at
# high tree depth, we restrict this maximal depth.
clf = DecisionTreeClassifier(criterion="gini", max_depth=5,
random_state=0).fit(X, y)
reg = DecisionTreeRegressor(criterion="mse", max_depth=5,
random_state=0).fit(X, y)
assert_almost_equal(clf.feature_importances_, reg.feature_importances_)
assert_array_equal(clf.tree_.feature, reg.tree_.feature)
assert_array_equal(clf.tree_.children_left, reg.tree_.children_left)
assert_array_equal(clf.tree_.children_right, reg.tree_.children_right)
assert_array_equal(clf.tree_.n_node_samples, reg.tree_.n_node_samples)
def test_max_features():
# Check max_features.
for name, TreeRegressor in REG_TREES.items():
reg = TreeRegressor(max_features="auto")
reg.fit(boston.data, boston.target)
assert_equal(reg.max_features_, boston.data.shape[1])
for name, TreeClassifier in CLF_TREES.items():
clf = TreeClassifier(max_features="auto")
clf.fit(iris.data, iris.target)
assert_equal(clf.max_features_, 2)
for name, TreeEstimator in ALL_TREES.items():
est = TreeEstimator(max_features="sqrt")
est.fit(iris.data, iris.target)
assert_equal(est.max_features_,
int(np.sqrt(iris.data.shape[1])))
est = TreeEstimator(max_features="log2")
est.fit(iris.data, iris.target)
assert_equal(est.max_features_,
int(np.log2(iris.data.shape[1])))
est = TreeEstimator(max_features=1)
est.fit(iris.data, iris.target)
assert_equal(est.max_features_, 1)
est = TreeEstimator(max_features=3)
est.fit(iris.data, iris.target)
assert_equal(est.max_features_, 3)
est = TreeEstimator(max_features=0.01)
est.fit(iris.data, iris.target)
assert_equal(est.max_features_, 1)
est = TreeEstimator(max_features=0.5)
est.fit(iris.data, iris.target)
assert_equal(est.max_features_,
int(0.5 * iris.data.shape[1]))
est = TreeEstimator(max_features=1.0)
est.fit(iris.data, iris.target)
assert_equal(est.max_features_, iris.data.shape[1])
est = TreeEstimator(max_features=None)
est.fit(iris.data, iris.target)
assert_equal(est.max_features_, iris.data.shape[1])
# use values of max_features that are invalid
est = TreeEstimator(max_features=10)
assert_raises(ValueError, est.fit, X, y)
est = TreeEstimator(max_features=-1)
assert_raises(ValueError, est.fit, X, y)
est = TreeEstimator(max_features=0.0)
assert_raises(ValueError, est.fit, X, y)
est = TreeEstimator(max_features=1.5)
assert_raises(ValueError, est.fit, X, y)
est = TreeEstimator(max_features="foobar")
assert_raises(ValueError, est.fit, X, y)
def test_error():
# Test that it gives proper exception on deficient input.
for name, TreeEstimator in CLF_TREES.items():
# predict before fit
est = TreeEstimator()
assert_raises(NotFittedError, est.predict_proba, X)
est.fit(X, y)
X2 = [[-2, -1, 1]] # wrong feature shape for sample
assert_raises(ValueError, est.predict_proba, X2)
for name, TreeEstimator in ALL_TREES.items():
# Invalid values for parameters
assert_raises(ValueError, TreeEstimator(min_samples_leaf=-1).fit, X, y)
assert_raises(ValueError,
TreeEstimator(min_weight_fraction_leaf=-1).fit,
X, y)
assert_raises(ValueError,
TreeEstimator(min_weight_fraction_leaf=0.51).fit,
X, y)
assert_raises(ValueError, TreeEstimator(min_samples_split=-1).fit,
X, y)
assert_raises(ValueError, TreeEstimator(max_depth=-1).fit, X, y)
assert_raises(ValueError, TreeEstimator(max_features=42).fit, X, y)
# Wrong dimensions
est = TreeEstimator()
y2 = y[:-1]
assert_raises(ValueError, est.fit, X, y2)
# Test with arrays that are non-contiguous.
Xf = np.asfortranarray(X)
est = TreeEstimator()
est.fit(Xf, y)
assert_almost_equal(est.predict(T), true_result)
# predict before fitting
est = TreeEstimator()
assert_raises(NotFittedError, est.predict, T)
# predict on vector with different dims
est.fit(X, y)
t = np.asarray(T)
assert_raises(ValueError, est.predict, t[:, 1:])
# wrong sample shape
Xt = np.array(X).T
est = TreeEstimator()
est.fit(np.dot(X, Xt), y)
assert_raises(ValueError, est.predict, X)
assert_raises(ValueError, est.apply, X)
clf = TreeEstimator()
clf.fit(X, y)
assert_raises(ValueError, clf.predict, Xt)
assert_raises(ValueError, clf.apply, Xt)
# apply before fitting
est = TreeEstimator()
assert_raises(NotFittedError, est.apply, T)
def test_min_samples_leaf():
# Test if leaves contain more than leaf_count training examples
X = np.asfortranarray(iris.data.astype(tree._tree.DTYPE))
y = iris.target
# test both DepthFirstTreeBuilder and BestFirstTreeBuilder
# by setting max_leaf_nodes
for max_leaf_nodes in (None, 1000):
for name, TreeEstimator in ALL_TREES.items():
est = TreeEstimator(min_samples_leaf=5,
max_leaf_nodes=max_leaf_nodes,
random_state=0)
est.fit(X, y)
out = est.tree_.apply(X)
node_counts = np.bincount(out)
# drop inner nodes
leaf_count = node_counts[node_counts != 0]
assert_greater(np.min(leaf_count), 4,
"Failed with {0}".format(name))
def check_min_weight_fraction_leaf(name, datasets, sparse=False):
"""Test if leaves contain at least min_weight_fraction_leaf of the
training set"""
if sparse:
X = DATASETS[datasets]["X_sparse"].astype(np.float32)
else:
X = DATASETS[datasets]["X"].astype(np.float32)
y = DATASETS[datasets]["y"]
weights = rng.rand(X.shape[0])
total_weight = np.sum(weights)
TreeEstimator = ALL_TREES[name]
# test both DepthFirstTreeBuilder and BestFirstTreeBuilder
# by setting max_leaf_nodes
for max_leaf_nodes, frac in product((None, 1000), np.linspace(0, 0.5, 6)):
est = TreeEstimator(min_weight_fraction_leaf=frac,
max_leaf_nodes=max_leaf_nodes,
random_state=0)
est.fit(X, y, sample_weight=weights)
if sparse:
out = est.tree_.apply(X.tocsr())
else:
out = est.tree_.apply(X)
node_weights = np.bincount(out, weights=weights)
# drop inner nodes
leaf_weights = node_weights[node_weights != 0]
assert_greater_equal(
np.min(leaf_weights),
total_weight * est.min_weight_fraction_leaf,
"Failed with {0} "
"min_weight_fraction_leaf={1}".format(
name, est.min_weight_fraction_leaf))
def test_min_weight_fraction_leaf():
# Check on dense input
for name in ALL_TREES:
yield check_min_weight_fraction_leaf, name, "iris"
# Check on sparse input
for name in SPARSE_TREES:
yield check_min_weight_fraction_leaf, name, "multilabel", True
def test_pickle():
# Check that tree estimator are pickable
for name, TreeClassifier in CLF_TREES.items():
clf = TreeClassifier(random_state=0)
clf.fit(iris.data, iris.target)
score = clf.score(iris.data, iris.target)
serialized_object = pickle.dumps(clf)
clf2 = pickle.loads(serialized_object)
assert_equal(type(clf2), clf.__class__)
score2 = clf2.score(iris.data, iris.target)
assert_equal(score, score2, "Failed to generate same score "
"after pickling (classification) "
"with {0}".format(name))
for name, TreeRegressor in REG_TREES.items():
reg = TreeRegressor(random_state=0)
reg.fit(boston.data, boston.target)
score = reg.score(boston.data, boston.target)
serialized_object = pickle.dumps(reg)
reg2 = pickle.loads(serialized_object)
assert_equal(type(reg2), reg.__class__)
score2 = reg2.score(boston.data, boston.target)
assert_equal(score, score2, "Failed to generate same score "
"after pickling (regression) "
"with {0}".format(name))
def test_multioutput():
# Check estimators on multi-output problems.
X = [[-2, -1],
[-1, -1],
[-1, -2],
[1, 1],
[1, 2],
[2, 1],
[-2, 1],
[-1, 1],
[-1, 2],
[2, -1],
[1, -1],
[1, -2]]
y = [[-1, 0],
[-1, 0],
[-1, 0],
[1, 1],
[1, 1],
[1, 1],
[-1, 2],
[-1, 2],
[-1, 2],
[1, 3],
[1, 3],
[1, 3]]
T = [[-1, -1], [1, 1], [-1, 1], [1, -1]]
y_true = [[-1, 0], [1, 1], [-1, 2], [1, 3]]
# toy classification problem
for name, TreeClassifier in CLF_TREES.items():
clf = TreeClassifier(random_state=0)
y_hat = clf.fit(X, y).predict(T)
assert_array_equal(y_hat, y_true)
assert_equal(y_hat.shape, (4, 2))
proba = clf.predict_proba(T)
assert_equal(len(proba), 2)
assert_equal(proba[0].shape, (4, 2))
assert_equal(proba[1].shape, (4, 4))
log_proba = clf.predict_log_proba(T)
assert_equal(len(log_proba), 2)
assert_equal(log_proba[0].shape, (4, 2))
assert_equal(log_proba[1].shape, (4, 4))
# toy regression problem
for name, TreeRegressor in REG_TREES.items():
reg = TreeRegressor(random_state=0)
y_hat = reg.fit(X, y).predict(T)
assert_almost_equal(y_hat, y_true)
assert_equal(y_hat.shape, (4, 2))
def test_classes_shape():
# Test that n_classes_ and classes_ have proper shape.
for name, TreeClassifier in CLF_TREES.items():
# Classification, single output
clf = TreeClassifier(random_state=0)
clf.fit(X, y)
assert_equal(clf.n_classes_, 2)
assert_array_equal(clf.classes_, [-1, 1])
# Classification, multi-output
_y = np.vstack((y, np.array(y) * 2)).T
clf = TreeClassifier(random_state=0)
clf.fit(X, _y)
assert_equal(len(clf.n_classes_), 2)
assert_equal(len(clf.classes_), 2)
assert_array_equal(clf.n_classes_, [2, 2])
assert_array_equal(clf.classes_, [[-1, 1], [-2, 2]])
def test_unbalanced_iris():
# Check class rebalancing.
unbalanced_X = iris.data[:125]
unbalanced_y = iris.target[:125]
sample_weight = _balance_weights(unbalanced_y)
for name, TreeClassifier in CLF_TREES.items():
clf = TreeClassifier(random_state=0)
clf.fit(unbalanced_X, unbalanced_y, sample_weight=sample_weight)
assert_almost_equal(clf.predict(unbalanced_X), unbalanced_y)
def test_memory_layout():
# Check that it works no matter the memory layout
for (name, TreeEstimator), dtype in product(ALL_TREES.items(),
[np.float64, np.float32]):
est = TreeEstimator(random_state=0)
# Nothing
X = np.asarray(iris.data, dtype=dtype)
y = iris.target
assert_array_equal(est.fit(X, y).predict(X), y)
# C-order
X = np.asarray(iris.data, order="C", dtype=dtype)
y = iris.target
assert_array_equal(est.fit(X, y).predict(X), y)
# F-order
X = np.asarray(iris.data, order="F", dtype=dtype)
y = iris.target
assert_array_equal(est.fit(X, y).predict(X), y)
# Contiguous
X = np.ascontiguousarray(iris.data, dtype=dtype)
y = iris.target
assert_array_equal(est.fit(X, y).predict(X), y)
if est.splitter in SPARSE_SPLITTERS:
# csr matrix
X = csr_matrix(iris.data, dtype=dtype)
y = iris.target
assert_array_equal(est.fit(X, y).predict(X), y)
# csc_matrix
X = csc_matrix(iris.data, dtype=dtype)
y = iris.target
assert_array_equal(est.fit(X, y).predict(X), y)
# Strided
X = np.asarray(iris.data[::3], dtype=dtype)
y = iris.target[::3]
assert_array_equal(est.fit(X, y).predict(X), y)
def test_sample_weight():
# Check sample weighting.
# Test that zero-weighted samples are not taken into account
X = np.arange(100)[:, np.newaxis]
y = np.ones(100)
y[:50] = 0.0
sample_weight = np.ones(100)
sample_weight[y == 0] = 0.0
clf = DecisionTreeClassifier(random_state=0)
clf.fit(X, y, sample_weight=sample_weight)
assert_array_equal(clf.predict(X), np.ones(100))
# Test that low weighted samples are not taken into account at low depth
X = np.arange(200)[:, np.newaxis]
y = np.zeros(200)
y[50:100] = 1
y[100:200] = 2
X[100:200, 0] = 200
sample_weight = np.ones(200)
sample_weight[y == 2] = .51 # Samples of class '2' are still weightier
clf = DecisionTreeClassifier(max_depth=1, random_state=0)
clf.fit(X, y, sample_weight=sample_weight)
assert_equal(clf.tree_.threshold[0], 149.5)
sample_weight[y == 2] = .5 # Samples of class '2' are no longer weightier
clf = DecisionTreeClassifier(max_depth=1, random_state=0)
clf.fit(X, y, sample_weight=sample_weight)
assert_equal(clf.tree_.threshold[0], 49.5) # Threshold should have moved
# Test that sample weighting is the same as having duplicates
X = iris.data
y = iris.target
duplicates = rng.randint(0, X.shape[0], 100)
clf = DecisionTreeClassifier(random_state=1)
clf.fit(X[duplicates], y[duplicates])
sample_weight = np.bincount(duplicates, minlength=X.shape[0])
clf2 = DecisionTreeClassifier(random_state=1)
clf2.fit(X, y, sample_weight=sample_weight)
internal = clf.tree_.children_left != tree._tree.TREE_LEAF
assert_array_almost_equal(clf.tree_.threshold[internal],
clf2.tree_.threshold[internal])
def test_sample_weight_invalid():
# Check sample weighting raises errors.
X = np.arange(100)[:, np.newaxis]
y = np.ones(100)
y[:50] = 0.0
clf = DecisionTreeClassifier(random_state=0)
sample_weight = np.random.rand(100, 1)
assert_raises(ValueError, clf.fit, X, y, sample_weight=sample_weight)
sample_weight = np.array(0)
assert_raises(ValueError, clf.fit, X, y, sample_weight=sample_weight)
sample_weight = np.ones(101)
assert_raises(ValueError, clf.fit, X, y, sample_weight=sample_weight)
sample_weight = np.ones(99)
assert_raises(ValueError, clf.fit, X, y, sample_weight=sample_weight)
def check_class_weights(name):
"""Check class_weights resemble sample_weights behavior."""
TreeClassifier = CLF_TREES[name]
# Iris is balanced, so no effect expected for using 'balanced' weights
clf1 = TreeClassifier(random_state=0)
clf1.fit(iris.data, iris.target)
clf2 = TreeClassifier(class_weight='balanced', random_state=0)
clf2.fit(iris.data, iris.target)
assert_almost_equal(clf1.feature_importances_, clf2.feature_importances_)
# Make a multi-output problem with three copies of Iris
iris_multi = np.vstack((iris.target, iris.target, iris.target)).T
# Create user-defined weights that should balance over the outputs
clf3 = TreeClassifier(class_weight=[{0: 2., 1: 2., 2: 1.},
{0: 2., 1: 1., 2: 2.},
{0: 1., 1: 2., 2: 2.}],
random_state=0)
clf3.fit(iris.data, iris_multi)
assert_almost_equal(clf2.feature_importances_, clf3.feature_importances_)
# Check against multi-output "auto" which should also have no effect
clf4 = TreeClassifier(class_weight='balanced', random_state=0)
clf4.fit(iris.data, iris_multi)
assert_almost_equal(clf3.feature_importances_, clf4.feature_importances_)
# Inflate importance of class 1, check against user-defined weights
sample_weight = np.ones(iris.target.shape)
sample_weight[iris.target == 1] *= 100
class_weight = {0: 1., 1: 100., 2: 1.}
clf1 = TreeClassifier(random_state=0)
clf1.fit(iris.data, iris.target, sample_weight)
clf2 = TreeClassifier(class_weight=class_weight, random_state=0)
clf2.fit(iris.data, iris.target)
assert_almost_equal(clf1.feature_importances_, clf2.feature_importances_)
# Check that sample_weight and class_weight are multiplicative
clf1 = TreeClassifier(random_state=0)
clf1.fit(iris.data, iris.target, sample_weight ** 2)
clf2 = TreeClassifier(class_weight=class_weight, random_state=0)
clf2.fit(iris.data, iris.target, sample_weight)
assert_almost_equal(clf1.feature_importances_, clf2.feature_importances_)
def test_class_weights():
for name in CLF_TREES:
yield check_class_weights, name
def check_class_weight_errors(name):
# Test if class_weight raises errors and warnings when expected.
TreeClassifier = CLF_TREES[name]
_y = np.vstack((y, np.array(y) * 2)).T
# Invalid preset string
clf = TreeClassifier(class_weight='the larch', random_state=0)
assert_raises(ValueError, clf.fit, X, y)
assert_raises(ValueError, clf.fit, X, _y)
# Not a list or preset for multi-output
clf = TreeClassifier(class_weight=1, random_state=0)
assert_raises(ValueError, clf.fit, X, _y)
# Incorrect length list for multi-output
clf = TreeClassifier(class_weight=[{-1: 0.5, 1: 1.}], random_state=0)
assert_raises(ValueError, clf.fit, X, _y)
def test_class_weight_errors():
for name in CLF_TREES:
yield check_class_weight_errors, name
def test_max_leaf_nodes():
# Test greedy trees with max_depth + 1 leafs.
from sklearn.tree._tree import TREE_LEAF
X, y = datasets.make_hastie_10_2(n_samples=100, random_state=1)
k = 4
for name, TreeEstimator in ALL_TREES.items():
est = TreeEstimator(max_depth=None, max_leaf_nodes=k + 1).fit(X, y)
tree = est.tree_
assert_equal((tree.children_left == TREE_LEAF).sum(), k + 1)
# max_leaf_nodes in (0, 1) should raise ValueError
est = TreeEstimator(max_depth=None, max_leaf_nodes=0)
assert_raises(ValueError, est.fit, X, y)
est = TreeEstimator(max_depth=None, max_leaf_nodes=1)
assert_raises(ValueError, est.fit, X, y)
est = TreeEstimator(max_depth=None, max_leaf_nodes=0.1)
assert_raises(ValueError, est.fit, X, y)
def test_max_leaf_nodes_max_depth():
# Test preceedence of max_leaf_nodes over max_depth.
X, y = datasets.make_hastie_10_2(n_samples=100, random_state=1)
k = 4
for name, TreeEstimator in ALL_TREES.items():
est = TreeEstimator(max_depth=1, max_leaf_nodes=k).fit(X, y)
tree = est.tree_
assert_greater(tree.max_depth, 1)
def test_arrays_persist():
# Ensure property arrays' memory stays alive when tree disappears
# non-regression for #2726
for attr in ['n_classes', 'value', 'children_left', 'children_right',
'threshold', 'impurity', 'feature', 'n_node_samples']:
value = getattr(DecisionTreeClassifier().fit([[0]], [0]).tree_, attr)
# if pointing to freed memory, contents may be arbitrary
assert_true(-2 <= value.flat[0] < 2,
'Array points to arbitrary memory')
def test_only_constant_features():
random_state = check_random_state(0)
X = np.zeros((10, 20))
y = random_state.randint(0, 2, (10, ))
for name, TreeEstimator in ALL_TREES.items():
est = TreeEstimator(random_state=0)
est.fit(X, y)
assert_equal(est.tree_.max_depth, 0)
def test_with_only_one_non_constant_features():
X = np.hstack([np.array([[1.], [1.], [0.], [0.]]),
np.zeros((4, 1000))])
y = np.array([0., 1., 0., 1.0])
for name, TreeEstimator in CLF_TREES.items():
est = TreeEstimator(random_state=0, max_features=1)
est.fit(X, y)
assert_equal(est.tree_.max_depth, 1)
assert_array_equal(est.predict_proba(X), 0.5 * np.ones((4, 2)))
for name, TreeEstimator in REG_TREES.items():
est = TreeEstimator(random_state=0, max_features=1)
est.fit(X, y)
assert_equal(est.tree_.max_depth, 1)
assert_array_equal(est.predict(X), 0.5 * np.ones((4, )))
def test_big_input():
# Test if the warning for too large inputs is appropriate.
X = np.repeat(10 ** 40., 4).astype(np.float64).reshape(-1, 1)
clf = DecisionTreeClassifier()
try:
clf.fit(X, [0, 1, 0, 1])
except ValueError as e:
assert_in("float32", str(e))
def test_realloc():
from sklearn.tree._utils import _realloc_test
assert_raises(MemoryError, _realloc_test)
def test_huge_allocations():
n_bits = int(platform.architecture()[0].rstrip('bit'))
X = np.random.randn(10, 2)
y = np.random.randint(0, 2, 10)
# Sanity check: we cannot request more memory than the size of the address
# space. Currently raises OverflowError.
huge = 2 ** (n_bits + 1)
clf = DecisionTreeClassifier(splitter='best', max_leaf_nodes=huge)
assert_raises(Exception, clf.fit, X, y)
# Non-regression test: MemoryError used to be dropped by Cython
# because of missing "except *".
huge = 2 ** (n_bits - 1) - 1
clf = DecisionTreeClassifier(splitter='best', max_leaf_nodes=huge)
assert_raises(MemoryError, clf.fit, X, y)
def check_sparse_input(tree, dataset, max_depth=None):
TreeEstimator = ALL_TREES[tree]
X = DATASETS[dataset]["X"]
X_sparse = DATASETS[dataset]["X_sparse"]
y = DATASETS[dataset]["y"]
# Gain testing time
if dataset in ["digits", "boston"]:
n_samples = X.shape[0] // 5
X = X[:n_samples]
X_sparse = X_sparse[:n_samples]
y = y[:n_samples]
for sparse_format in (csr_matrix, csc_matrix, coo_matrix):
X_sparse = sparse_format(X_sparse)
# Check the default (depth first search)
d = TreeEstimator(random_state=0, max_depth=max_depth).fit(X, y)
s = TreeEstimator(random_state=0, max_depth=max_depth).fit(X_sparse, y)
assert_tree_equal(d.tree_, s.tree_,
"{0} with dense and sparse format gave different "
"trees".format(tree))
y_pred = d.predict(X)
if tree in CLF_TREES:
y_proba = d.predict_proba(X)
y_log_proba = d.predict_log_proba(X)
for sparse_matrix in (csr_matrix, csc_matrix, coo_matrix):
X_sparse_test = sparse_matrix(X_sparse, dtype=np.float32)
assert_array_almost_equal(s.predict(X_sparse_test), y_pred)
if tree in CLF_TREES:
assert_array_almost_equal(s.predict_proba(X_sparse_test),
y_proba)
assert_array_almost_equal(s.predict_log_proba(X_sparse_test),
y_log_proba)
def test_sparse_input():
for tree, dataset in product(SPARSE_TREES,
("clf_small", "toy", "digits", "multilabel",
"sparse-pos", "sparse-neg", "sparse-mix",
"zeros")):
max_depth = 3 if dataset == "digits" else None
yield (check_sparse_input, tree, dataset, max_depth)
# Due to numerical instability of MSE and too strict test, we limit the
# maximal depth
for tree, dataset in product(REG_TREES, ["boston", "reg_small"]):
if tree in SPARSE_TREES:
yield (check_sparse_input, tree, dataset, 2)
def check_sparse_parameters(tree, dataset):
TreeEstimator = ALL_TREES[tree]
X = DATASETS[dataset]["X"]
X_sparse = DATASETS[dataset]["X_sparse"]
y = DATASETS[dataset]["y"]
# Check max_features
d = TreeEstimator(random_state=0, max_features=1, max_depth=2).fit(X, y)
s = TreeEstimator(random_state=0, max_features=1,
max_depth=2).fit(X_sparse, y)
assert_tree_equal(d.tree_, s.tree_,
"{0} with dense and sparse format gave different "
"trees".format(tree))
assert_array_almost_equal(s.predict(X), d.predict(X))
# Check min_samples_split
d = TreeEstimator(random_state=0, max_features=1,
min_samples_split=10).fit(X, y)
s = TreeEstimator(random_state=0, max_features=1,
min_samples_split=10).fit(X_sparse, y)
assert_tree_equal(d.tree_, s.tree_,
"{0} with dense and sparse format gave different "
"trees".format(tree))
assert_array_almost_equal(s.predict(X), d.predict(X))
# Check min_samples_leaf
d = TreeEstimator(random_state=0,
min_samples_leaf=X_sparse.shape[0] // 2).fit(X, y)
s = TreeEstimator(random_state=0,
min_samples_leaf=X_sparse.shape[0] // 2).fit(X_sparse, y)
assert_tree_equal(d.tree_, s.tree_,
"{0} with dense and sparse format gave different "
"trees".format(tree))
assert_array_almost_equal(s.predict(X), d.predict(X))
# Check best-first search
d = TreeEstimator(random_state=0, max_leaf_nodes=3).fit(X, y)
s = TreeEstimator(random_state=0, max_leaf_nodes=3).fit(X_sparse, y)
assert_tree_equal(d.tree_, s.tree_,
"{0} with dense and sparse format gave different "
"trees".format(tree))
assert_array_almost_equal(s.predict(X), d.predict(X))
def test_sparse_parameters():
for tree, dataset in product(SPARSE_TREES,
["sparse-pos", "sparse-neg", "sparse-mix",
"zeros"]):
yield (check_sparse_parameters, tree, dataset)
def check_sparse_criterion(tree, dataset):
TreeEstimator = ALL_TREES[tree]
X = DATASETS[dataset]["X"]
X_sparse = DATASETS[dataset]["X_sparse"]
y = DATASETS[dataset]["y"]
# Check various criterion
CRITERIONS = REG_CRITERIONS if tree in REG_TREES else CLF_CRITERIONS
for criterion in CRITERIONS:
d = TreeEstimator(random_state=0, max_depth=3,
criterion=criterion).fit(X, y)
s = TreeEstimator(random_state=0, max_depth=3,
criterion=criterion).fit(X_sparse, y)
assert_tree_equal(d.tree_, s.tree_,
"{0} with dense and sparse format gave different "
"trees".format(tree))
assert_array_almost_equal(s.predict(X), d.predict(X))
def test_sparse_criterion():
for tree, dataset in product(SPARSE_TREES,
["sparse-pos", "sparse-neg", "sparse-mix",
"zeros"]):
yield (check_sparse_criterion, tree, dataset)
def check_explicit_sparse_zeros(tree, max_depth=3,
n_features=10):
TreeEstimator = ALL_TREES[tree]
# n_samples set n_feature to ease construction of a simultaneous
# construction of a csr and csc matrix
n_samples = n_features
samples = np.arange(n_samples)
# Generate X, y
random_state = check_random_state(0)
indices = []
data = []
offset = 0
indptr = [offset]
for i in range(n_features):
n_nonzero_i = random_state.binomial(n_samples, 0.5)
indices_i = random_state.permutation(samples)[:n_nonzero_i]
indices.append(indices_i)
data_i = random_state.binomial(3, 0.5, size=(n_nonzero_i, )) - 1
data.append(data_i)
offset += n_nonzero_i
indptr.append(offset)
indices = np.concatenate(indices)
data = np.array(np.concatenate(data), dtype=np.float32)
X_sparse = csc_matrix((data, indices, indptr),
shape=(n_samples, n_features))
X = X_sparse.toarray()
X_sparse_test = csr_matrix((data, indices, indptr),
shape=(n_samples, n_features))
X_test = X_sparse_test.toarray()
y = random_state.randint(0, 3, size=(n_samples, ))
# Ensure that X_sparse_test owns its data, indices and indptr array
X_sparse_test = X_sparse_test.copy()
# Ensure that we have explicit zeros
assert_greater((X_sparse.data == 0.).sum(), 0)
assert_greater((X_sparse_test.data == 0.).sum(), 0)
# Perform the comparison
d = TreeEstimator(random_state=0, max_depth=max_depth).fit(X, y)
s = TreeEstimator(random_state=0, max_depth=max_depth).fit(X_sparse, y)
assert_tree_equal(d.tree_, s.tree_,
"{0} with dense and sparse format gave different "
"trees".format(tree))
Xs = (X_test, X_sparse_test)
for X1, X2 in product(Xs, Xs):
assert_array_almost_equal(s.tree_.apply(X1), d.tree_.apply(X2))
assert_array_almost_equal(s.apply(X1), d.apply(X2))
assert_array_almost_equal(s.apply(X1), s.tree_.apply(X1))
assert_array_almost_equal(s.predict(X1), d.predict(X2))
if tree in CLF_TREES:
assert_array_almost_equal(s.predict_proba(X1),
d.predict_proba(X2))
def test_explicit_sparse_zeros():
for tree in SPARSE_TREES:
yield (check_explicit_sparse_zeros, tree)
@ignore_warnings
def check_raise_error_on_1d_input(name):
TreeEstimator = ALL_TREES[name]
X = iris.data[:, 0].ravel()
X_2d = iris.data[:, 0].reshape((-1, 1))
y = iris.target
assert_raises(ValueError, TreeEstimator(random_state=0).fit, X, y)
est = TreeEstimator(random_state=0)
est.fit(X_2d, y)
assert_raises(ValueError, est.predict, [X])
@ignore_warnings
def test_1d_input():
for name in ALL_TREES:
yield check_raise_error_on_1d_input, name
def _check_min_weight_leaf_split_level(TreeEstimator, X, y, sample_weight):
# Private function to keep pretty printing in nose yielded tests
est = TreeEstimator(random_state=0)
est.fit(X, y, sample_weight=sample_weight)
assert_equal(est.tree_.max_depth, 1)
est = TreeEstimator(random_state=0, min_weight_fraction_leaf=0.4)
est.fit(X, y, sample_weight=sample_weight)
assert_equal(est.tree_.max_depth, 0)
def check_min_weight_leaf_split_level(name):
TreeEstimator = ALL_TREES[name]
X = np.array([[0], [0], [0], [0], [1]])
y = [0, 0, 0, 0, 1]
sample_weight = [0.2, 0.2, 0.2, 0.2, 0.2]
_check_min_weight_leaf_split_level(TreeEstimator, X, y, sample_weight)
if TreeEstimator().splitter in SPARSE_SPLITTERS:
_check_min_weight_leaf_split_level(TreeEstimator, csc_matrix(X), y,
sample_weight)
def test_min_weight_leaf_split_level():
for name in ALL_TREES:
yield check_min_weight_leaf_split_level, name
def check_public_apply(name):
X_small32 = X_small.astype(tree._tree.DTYPE)
est = ALL_TREES[name]()
est.fit(X_small, y_small)
assert_array_equal(est.apply(X_small),
est.tree_.apply(X_small32))
def check_public_apply_sparse(name):
X_small32 = csr_matrix(X_small.astype(tree._tree.DTYPE))
est = ALL_TREES[name]()
est.fit(X_small, y_small)
assert_array_equal(est.apply(X_small),
est.tree_.apply(X_small32))
def test_public_apply():
for name in ALL_TREES:
yield (check_public_apply, name)
for name in SPARSE_TREES:
yield (check_public_apply_sparse, name)
| bsd-3-clause |
miku/siskin | siskin/test_openurl.py | 1 | 5627 | from siskin.openurl import openurl_parameters_from_intermediateschema
def test_openurl_from_intermediateschema():
cases = (
('empty doc', {}, {}),
(
'title only',
{
'rft.atitle': 'empty doc'
},
{
'ctx_enc': 'info:ofi/enc:UTF-8',
'ctx_ver': 'Z39.88-2004',
'rfr_id': 'info:sid/www.ub.uni-leipzig.de:generator',
'rft.atitle': 'empty doc',
'url_ver': 'Z39.88-2004',
},
),
(
'title and date',
{
'rft.atitle': 'title and date',
'rft.date': '2018-10-10',
},
{
'ctx_enc': 'info:ofi/enc:UTF-8',
'ctx_ver': 'Z39.88-2004',
'rfr_id': 'info:sid/www.ub.uni-leipzig.de:generator',
'rft.date': '2018-10-10',
'rft.atitle': 'title and date',
'url_ver': 'Z39.88-2004',
},
),
(
'title and date, language',
{
'languages': ['eng', 'fra'],
'rft.atitle': 'title and date, language',
'rft.date': '2018-10-10',
},
{
'ctx_enc': 'info:ofi/enc:UTF-8',
'ctx_ver': 'Z39.88-2004',
'rfr_id': 'info:sid/www.ub.uni-leipzig.de:generator',
'rft.date': '2018-10-10',
'rft.language': 'eng',
'rft.atitle': 'title and date, language',
'url_ver': 'Z39.88-2004',
},
),
(
'title and date, language, book',
{
'languages': ['eng', 'fra'],
'rft.atitle': 'Hello',
'rft.date': '2018-10-10',
'rft.genre': 'book',
},
{
'ctx_enc': 'info:ofi/enc:UTF-8',
'ctx_ver': 'Z39.88-2004',
'rfr_id': 'info:sid/www.ub.uni-leipzig.de:generator',
'rft.atitle': 'Hello',
'rft.btitle': 'Hello',
'rft.date': '2018-10-10',
'rft.genre': 'book',
'rft.language': 'eng',
'rft_val_fmt': 'info:ofi/fmt:kev:mtx:book',
'url_ver': 'Z39.88-2004',
},
),
(
'crossref-1',
{
"finc.format":
"ElectronicArticle",
"finc.mega_collection": ["Springer Science + Business Media (CrossRef)"],
"finc.id":
"ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAxNi9qLm51cnguMjAwNi4wNS4wMjU",
"finc.source_id":
"49",
"ris.type":
"EJOUR",
"rft.atitle":
"An Analysis of Correlations Among 4 Outcome Scales Employed in Clinical Trials of Patients With Major Depressive Disorder",
"rft.epage":
"412",
"rft.genre":
"article",
"rft.issn": ["1545-5343"],
"rft.issue":
"3",
"rft.jtitle":
"NeuroRX",
"rft.tpages":
"2",
"rft.pages":
"411-412",
"rft.pub": ["Springer Science + Business Media"],
"rft.date":
"2006-07-01",
"x.date":
"2006-07-01T00:00:00Z",
"rft.spage":
"411",
"rft.volume":
"3",
"authors": [{
"rft.aulast": "JIANG",
"rft.aufirst": "Q"
}, {
"rft.aulast": "AHMED",
"rft.aufirst": "S"
}, {
"rft.aulast": "PEDERSEN",
"rft.aufirst": "R"
}, {
"rft.aulast": "MUSGNUNG",
"rft.aufirst": "J"
}, {
"rft.aulast": "ENTSUAH",
"rft.aufirst": "R"
}],
"doi":
"10.1016/j.nurx.2006.05.025",
"languages": ["eng"],
"url": ["http://dx.doi.org/10.1016/j.nurx.2006.05.025"],
"version":
"0.9",
"x.subjects": ["Pharmacology (medical)"],
"x.type":
"journal-article"
},
{
'ctx_enc': 'info:ofi/enc:UTF-8',
'ctx_ver': 'Z39.88-2004',
'rfr_id': 'info:sid/www.ub.uni-leipzig.de:generator',
'rft.atitle': 'An Analysis of Correlations Among 4 Outcome Scales Employed in Clinical Trials of Patients With Major Depressive Disorder',
'rft.aufirst': 'Q',
'rft.aulast': 'JIANG',
'rft.date': '2006-07-01',
'rft.epage': '412',
'rft.genre': 'article',
'rft.issn': '1545-5343',
'rft.issue': '3',
'rft.jtitle': 'NeuroRX',
'rft.language': 'eng',
'rft.pages': '411-412',
'rft.spage': '411',
'rft.volume': '3',
'rft_id': 'info:doi/10.1016/j.nurx.2006.05.025',
'url_ver': 'Z39.88-2004',
},
),
)
for _, doc, want in cases:
result = openurl_parameters_from_intermediateschema(doc)
assert result == want
| gpl-3.0 |
barryHub20/ServerAss2 | lib/itsdangerous.py | 626 | 31840 | # -*- coding: utf-8 -*-
"""
itsdangerous
~~~~~~~~~~~~
A module that implements various functions to deal with untrusted
sources. Mainly useful for web applications.
:copyright: (c) 2014 by Armin Ronacher and the Django Software Foundation.
:license: BSD, see LICENSE for more details.
"""
import sys
import hmac
import zlib
import time
import base64
import hashlib
import operator
from datetime import datetime
PY2 = sys.version_info[0] == 2
if PY2:
from itertools import izip
text_type = unicode
int_to_byte = chr
number_types = (int, long, float)
else:
from functools import reduce
izip = zip
text_type = str
int_to_byte = operator.methodcaller('to_bytes', 1, 'big')
number_types = (int, float)
try:
import simplejson as json
except ImportError:
import json
class _CompactJSON(object):
"""Wrapper around simplejson that strips whitespace.
"""
def loads(self, payload):
return json.loads(payload)
def dumps(self, obj):
return json.dumps(obj, separators=(',', ':'))
compact_json = _CompactJSON()
# 2011/01/01 in UTC
EPOCH = 1293840000
def want_bytes(s, encoding='utf-8', errors='strict'):
if isinstance(s, text_type):
s = s.encode(encoding, errors)
return s
def is_text_serializer(serializer):
"""Checks wheather a serializer generates text or binary."""
return isinstance(serializer.dumps({}), text_type)
# Starting with 3.3 the standard library has a c-implementation for
# constant time string compares.
_builtin_constant_time_compare = getattr(hmac, 'compare_digest', None)
def constant_time_compare(val1, val2):
"""Returns True if the two strings are equal, False otherwise.
The time taken is independent of the number of characters that match. Do
not use this function for anything else than comparision with known
length targets.
This is should be implemented in C in order to get it completely right.
"""
if _builtin_constant_time_compare is not None:
return _builtin_constant_time_compare(val1, val2)
len_eq = len(val1) == len(val2)
if len_eq:
result = 0
left = val1
else:
result = 1
left = val2
for x, y in izip(bytearray(left), bytearray(val2)):
result |= x ^ y
return result == 0
class BadData(Exception):
"""Raised if bad data of any sort was encountered. This is the
base for all exceptions that itsdangerous is currently using.
.. versionadded:: 0.15
"""
message = None
def __init__(self, message):
Exception.__init__(self, message)
self.message = message
def __str__(self):
return text_type(self.message)
if PY2:
__unicode__ = __str__
def __str__(self):
return self.__unicode__().encode('utf-8')
class BadPayload(BadData):
"""This error is raised in situations when payload is loaded without
checking the signature first and an exception happend as a result of
that. The original exception that caused that will be stored on the
exception as :attr:`original_error`.
This can also happen with a :class:`JSONWebSignatureSerializer` that
is subclassed and uses a different serializer for the payload than
the expected one.
.. versionadded:: 0.15
"""
def __init__(self, message, original_error=None):
BadData.__init__(self, message)
#: If available, the error that indicates why the payload
#: was not valid. This might be `None`.
self.original_error = original_error
class BadSignature(BadData):
"""This error is raised if a signature does not match. As of
itsdangerous 0.14 there are helpful attributes on the exception
instances. You can also catch down the baseclass :exc:`BadData`.
"""
def __init__(self, message, payload=None):
BadData.__init__(self, message)
#: The payload that failed the signature test. In some
#: situations you might still want to inspect this, even if
#: you know it was tampered with.
#:
#: .. versionadded:: 0.14
self.payload = payload
class BadTimeSignature(BadSignature):
"""Raised for time based signatures that fail. This is a subclass
of :class:`BadSignature` so you can catch those down as well.
"""
def __init__(self, message, payload=None, date_signed=None):
BadSignature.__init__(self, message, payload)
#: If the signature expired this exposes the date of when the
#: signature was created. This can be helpful in order to
#: tell the user how long a link has been gone stale.
#:
#: .. versionadded:: 0.14
self.date_signed = date_signed
class BadHeader(BadSignature):
"""Raised if a signed header is invalid in some form. This only
happens for serializers that have a header that goes with the
signature.
.. versionadded:: 0.24
"""
def __init__(self, message, payload=None, header=None,
original_error=None):
BadSignature.__init__(self, message, payload)
#: If the header is actually available but just malformed it
#: might be stored here.
self.header = header
#: If available, the error that indicates why the payload
#: was not valid. This might be `None`.
self.original_error = original_error
class SignatureExpired(BadTimeSignature):
"""Signature timestamp is older than required max_age. This is a
subclass of :exc:`BadTimeSignature` so you can use the baseclass for
catching the error.
"""
def base64_encode(string):
"""base64 encodes a single bytestring (and is tolerant to getting
called with a unicode string).
The resulting bytestring is safe for putting into URLs.
"""
string = want_bytes(string)
return base64.urlsafe_b64encode(string).strip(b'=')
def base64_decode(string):
"""base64 decodes a single bytestring (and is tolerant to getting
called with a unicode string).
The result is also a bytestring.
"""
string = want_bytes(string, encoding='ascii', errors='ignore')
return base64.urlsafe_b64decode(string + b'=' * (-len(string) % 4))
def int_to_bytes(num):
assert num >= 0
rv = []
while num:
rv.append(int_to_byte(num & 0xff))
num >>= 8
return b''.join(reversed(rv))
def bytes_to_int(bytestr):
return reduce(lambda a, b: a << 8 | b, bytearray(bytestr), 0)
class SigningAlgorithm(object):
"""Subclasses of `SigningAlgorithm` have to implement `get_signature` to
provide signature generation functionality.
"""
def get_signature(self, key, value):
"""Returns the signature for the given key and value"""
raise NotImplementedError()
def verify_signature(self, key, value, sig):
"""Verifies the given signature matches the expected signature"""
return constant_time_compare(sig, self.get_signature(key, value))
class NoneAlgorithm(SigningAlgorithm):
"""This class provides a algorithm that does not perform any signing and
returns an empty signature.
"""
def get_signature(self, key, value):
return b''
class HMACAlgorithm(SigningAlgorithm):
"""This class provides signature generation using HMACs."""
#: The digest method to use with the MAC algorithm. This defaults to sha1
#: but can be changed for any other function in the hashlib module.
default_digest_method = staticmethod(hashlib.sha1)
def __init__(self, digest_method=None):
if digest_method is None:
digest_method = self.default_digest_method
self.digest_method = digest_method
def get_signature(self, key, value):
mac = hmac.new(key, msg=value, digestmod=self.digest_method)
return mac.digest()
class Signer(object):
"""This class can sign bytes and unsign it and validate the signature
provided.
Salt can be used to namespace the hash, so that a signed string is only
valid for a given namespace. Leaving this at the default value or re-using
a salt value across different parts of your application where the same
signed value in one part can mean something different in another part
is a security risk.
See :ref:`the-salt` for an example of what the salt is doing and how you
can utilize it.
.. versionadded:: 0.14
`key_derivation` and `digest_method` were added as arguments to the
class constructor.
.. versionadded:: 0.18
`algorithm` was added as an argument to the class constructor.
"""
#: The digest method to use for the signer. This defaults to sha1 but can
#: be changed for any other function in the hashlib module.
#:
#: .. versionchanged:: 0.14
default_digest_method = staticmethod(hashlib.sha1)
#: Controls how the key is derived. The default is Django style
#: concatenation. Possible values are ``concat``, ``django-concat``
#: and ``hmac``. This is used for deriving a key from the secret key
#: with an added salt.
#:
#: .. versionadded:: 0.14
default_key_derivation = 'django-concat'
def __init__(self, secret_key, salt=None, sep='.', key_derivation=None,
digest_method=None, algorithm=None):
self.secret_key = want_bytes(secret_key)
self.sep = sep
self.salt = 'itsdangerous.Signer' if salt is None else salt
if key_derivation is None:
key_derivation = self.default_key_derivation
self.key_derivation = key_derivation
if digest_method is None:
digest_method = self.default_digest_method
self.digest_method = digest_method
if algorithm is None:
algorithm = HMACAlgorithm(self.digest_method)
self.algorithm = algorithm
def derive_key(self):
"""This method is called to derive the key. If you're unhappy with
the default key derivation choices you can override them here.
Keep in mind that the key derivation in itsdangerous is not intended
to be used as a security method to make a complex key out of a short
password. Instead you should use large random secret keys.
"""
salt = want_bytes(self.salt)
if self.key_derivation == 'concat':
return self.digest_method(salt + self.secret_key).digest()
elif self.key_derivation == 'django-concat':
return self.digest_method(salt + b'signer' +
self.secret_key).digest()
elif self.key_derivation == 'hmac':
mac = hmac.new(self.secret_key, digestmod=self.digest_method)
mac.update(salt)
return mac.digest()
elif self.key_derivation == 'none':
return self.secret_key
else:
raise TypeError('Unknown key derivation method')
def get_signature(self, value):
"""Returns the signature for the given value"""
value = want_bytes(value)
key = self.derive_key()
sig = self.algorithm.get_signature(key, value)
return base64_encode(sig)
def sign(self, value):
"""Signs the given string."""
return value + want_bytes(self.sep) + self.get_signature(value)
def verify_signature(self, value, sig):
"""Verifies the signature for the given value."""
key = self.derive_key()
try:
sig = base64_decode(sig)
except Exception:
return False
return self.algorithm.verify_signature(key, value, sig)
def unsign(self, signed_value):
"""Unsigns the given string."""
signed_value = want_bytes(signed_value)
sep = want_bytes(self.sep)
if sep not in signed_value:
raise BadSignature('No %r found in value' % self.sep)
value, sig = signed_value.rsplit(sep, 1)
if self.verify_signature(value, sig):
return value
raise BadSignature('Signature %r does not match' % sig,
payload=value)
def validate(self, signed_value):
"""Just validates the given signed value. Returns `True` if the
signature exists and is valid, `False` otherwise."""
try:
self.unsign(signed_value)
return True
except BadSignature:
return False
class TimestampSigner(Signer):
"""Works like the regular :class:`Signer` but also records the time
of the signing and can be used to expire signatures. The unsign
method can rause a :exc:`SignatureExpired` method if the unsigning
failed because the signature is expired. This exception is a subclass
of :exc:`BadSignature`.
"""
def get_timestamp(self):
"""Returns the current timestamp. This implementation returns the
seconds since 1/1/2011. The function must return an integer.
"""
return int(time.time() - EPOCH)
def timestamp_to_datetime(self, ts):
"""Used to convert the timestamp from `get_timestamp` into a
datetime object.
"""
return datetime.utcfromtimestamp(ts + EPOCH)
def sign(self, value):
"""Signs the given string and also attaches a time information."""
value = want_bytes(value)
timestamp = base64_encode(int_to_bytes(self.get_timestamp()))
sep = want_bytes(self.sep)
value = value + sep + timestamp
return value + sep + self.get_signature(value)
def unsign(self, value, max_age=None, return_timestamp=False):
"""Works like the regular :meth:`~Signer.unsign` but can also
validate the time. See the base docstring of the class for
the general behavior. If `return_timestamp` is set to `True`
the timestamp of the signature will be returned as naive
:class:`datetime.datetime` object in UTC.
"""
try:
result = Signer.unsign(self, value)
sig_error = None
except BadSignature as e:
sig_error = e
result = e.payload or b''
sep = want_bytes(self.sep)
# If there is no timestamp in the result there is something
# seriously wrong. In case there was a signature error, we raise
# that one directly, otherwise we have a weird situation in which
# we shouldn't have come except someone uses a time-based serializer
# on non-timestamp data, so catch that.
if not sep in result:
if sig_error:
raise sig_error
raise BadTimeSignature('timestamp missing', payload=result)
value, timestamp = result.rsplit(sep, 1)
try:
timestamp = bytes_to_int(base64_decode(timestamp))
except Exception:
timestamp = None
# Signature is *not* okay. Raise a proper error now that we have
# split the value and the timestamp.
if sig_error is not None:
raise BadTimeSignature(text_type(sig_error), payload=value,
date_signed=timestamp)
# Signature was okay but the timestamp is actually not there or
# malformed. Should not happen, but well. We handle it nonetheless
if timestamp is None:
raise BadTimeSignature('Malformed timestamp', payload=value)
# Check timestamp is not older than max_age
if max_age is not None:
age = self.get_timestamp() - timestamp
if age > max_age:
raise SignatureExpired(
'Signature age %s > %s seconds' % (age, max_age),
payload=value,
date_signed=self.timestamp_to_datetime(timestamp))
if return_timestamp:
return value, self.timestamp_to_datetime(timestamp)
return value
def validate(self, signed_value, max_age=None):
"""Just validates the given signed value. Returns `True` if the
signature exists and is valid, `False` otherwise."""
try:
self.unsign(signed_value, max_age=max_age)
return True
except BadSignature:
return False
class Serializer(object):
"""This class provides a serialization interface on top of the
signer. It provides a similar API to json/pickle and other modules but is
slightly differently structured internally. If you want to change the
underlying implementation for parsing and loading you have to override the
:meth:`load_payload` and :meth:`dump_payload` functions.
This implementation uses simplejson if available for dumping and loading
and will fall back to the standard library's json module if it's not
available.
Starting with 0.14 you do not need to subclass this class in order to
switch out or customer the :class:`Signer`. You can instead also pass a
different class to the constructor as well as keyword arguments as
dictionary that should be forwarded::
s = Serializer(signer_kwargs={'key_derivation': 'hmac'})
.. versionchanged:: 0.14:
The `signer` and `signer_kwargs` parameters were added to the
constructor.
"""
#: If a serializer module or class is not passed to the constructor
#: this one is picked up. This currently defaults to :mod:`json`.
default_serializer = json
#: The default :class:`Signer` class that is being used by this
#: serializer.
#:
#: .. versionadded:: 0.14
default_signer = Signer
def __init__(self, secret_key, salt=b'itsdangerous', serializer=None,
signer=None, signer_kwargs=None):
self.secret_key = want_bytes(secret_key)
self.salt = want_bytes(salt)
if serializer is None:
serializer = self.default_serializer
self.serializer = serializer
self.is_text_serializer = is_text_serializer(serializer)
if signer is None:
signer = self.default_signer
self.signer = signer
self.signer_kwargs = signer_kwargs or {}
def load_payload(self, payload, serializer=None):
"""Loads the encoded object. This function raises :class:`BadPayload`
if the payload is not valid. The `serializer` parameter can be used to
override the serializer stored on the class. The encoded payload is
always byte based.
"""
if serializer is None:
serializer = self.serializer
is_text = self.is_text_serializer
else:
is_text = is_text_serializer(serializer)
try:
if is_text:
payload = payload.decode('utf-8')
return serializer.loads(payload)
except Exception as e:
raise BadPayload('Could not load the payload because an '
'exception occurred on unserializing the data',
original_error=e)
def dump_payload(self, obj):
"""Dumps the encoded object. The return value is always a
bytestring. If the internal serializer is text based the value
will automatically be encoded to utf-8.
"""
return want_bytes(self.serializer.dumps(obj))
def make_signer(self, salt=None):
"""A method that creates a new instance of the signer to be used.
The default implementation uses the :class:`Signer` baseclass.
"""
if salt is None:
salt = self.salt
return self.signer(self.secret_key, salt=salt, **self.signer_kwargs)
def dumps(self, obj, salt=None):
"""Returns a signed string serialized with the internal serializer.
The return value can be either a byte or unicode string depending
on the format of the internal serializer.
"""
payload = want_bytes(self.dump_payload(obj))
rv = self.make_signer(salt).sign(payload)
if self.is_text_serializer:
rv = rv.decode('utf-8')
return rv
def dump(self, obj, f, salt=None):
"""Like :meth:`dumps` but dumps into a file. The file handle has
to be compatible with what the internal serializer expects.
"""
f.write(self.dumps(obj, salt))
def loads(self, s, salt=None):
"""Reverse of :meth:`dumps`, raises :exc:`BadSignature` if the
signature validation fails.
"""
s = want_bytes(s)
return self.load_payload(self.make_signer(salt).unsign(s))
def load(self, f, salt=None):
"""Like :meth:`loads` but loads from a file."""
return self.loads(f.read(), salt)
def loads_unsafe(self, s, salt=None):
"""Like :meth:`loads` but without verifying the signature. This is
potentially very dangerous to use depending on how your serializer
works. The return value is ``(signature_okay, payload)`` instead of
just the payload. The first item will be a boolean that indicates
if the signature is okay (``True``) or if it failed. This function
never fails.
Use it for debugging only and if you know that your serializer module
is not exploitable (eg: do not use it with a pickle serializer).
.. versionadded:: 0.15
"""
return self._loads_unsafe_impl(s, salt)
def _loads_unsafe_impl(self, s, salt, load_kwargs=None,
load_payload_kwargs=None):
"""Lowlevel helper function to implement :meth:`loads_unsafe` in
serializer subclasses.
"""
try:
return True, self.loads(s, salt=salt, **(load_kwargs or {}))
except BadSignature as e:
if e.payload is None:
return False, None
try:
return False, self.load_payload(e.payload,
**(load_payload_kwargs or {}))
except BadPayload:
return False, None
def load_unsafe(self, f, *args, **kwargs):
"""Like :meth:`loads_unsafe` but loads from a file.
.. versionadded:: 0.15
"""
return self.loads_unsafe(f.read(), *args, **kwargs)
class TimedSerializer(Serializer):
"""Uses the :class:`TimestampSigner` instead of the default
:meth:`Signer`.
"""
default_signer = TimestampSigner
def loads(self, s, max_age=None, return_timestamp=False, salt=None):
"""Reverse of :meth:`dumps`, raises :exc:`BadSignature` if the
signature validation fails. If a `max_age` is provided it will
ensure the signature is not older than that time in seconds. In
case the signature is outdated, :exc:`SignatureExpired` is raised
which is a subclass of :exc:`BadSignature`. All arguments are
forwarded to the signer's :meth:`~TimestampSigner.unsign` method.
"""
base64d, timestamp = self.make_signer(salt) \
.unsign(s, max_age, return_timestamp=True)
payload = self.load_payload(base64d)
if return_timestamp:
return payload, timestamp
return payload
def loads_unsafe(self, s, max_age=None, salt=None):
load_kwargs = {'max_age': max_age}
load_payload_kwargs = {}
return self._loads_unsafe_impl(s, salt, load_kwargs, load_payload_kwargs)
class JSONWebSignatureSerializer(Serializer):
"""This serializer implements JSON Web Signature (JWS) support. Only
supports the JWS Compact Serialization.
"""
jws_algorithms = {
'HS256': HMACAlgorithm(hashlib.sha256),
'HS384': HMACAlgorithm(hashlib.sha384),
'HS512': HMACAlgorithm(hashlib.sha512),
'none': NoneAlgorithm(),
}
#: The default algorithm to use for signature generation
default_algorithm = 'HS256'
default_serializer = compact_json
def __init__(self, secret_key, salt=None, serializer=None,
signer=None, signer_kwargs=None, algorithm_name=None):
Serializer.__init__(self, secret_key, salt, serializer,
signer, signer_kwargs)
if algorithm_name is None:
algorithm_name = self.default_algorithm
self.algorithm_name = algorithm_name
self.algorithm = self.make_algorithm(algorithm_name)
def load_payload(self, payload, return_header=False):
payload = want_bytes(payload)
if b'.' not in payload:
raise BadPayload('No "." found in value')
base64d_header, base64d_payload = payload.split(b'.', 1)
try:
json_header = base64_decode(base64d_header)
except Exception as e:
raise BadHeader('Could not base64 decode the header because of '
'an exception', original_error=e)
try:
json_payload = base64_decode(base64d_payload)
except Exception as e:
raise BadPayload('Could not base64 decode the payload because of '
'an exception', original_error=e)
try:
header = Serializer.load_payload(self, json_header,
serializer=json)
except BadData as e:
raise BadHeader('Could not unserialize header because it was '
'malformed', original_error=e)
if not isinstance(header, dict):
raise BadHeader('Header payload is not a JSON object',
header=header)
payload = Serializer.load_payload(self, json_payload)
if return_header:
return payload, header
return payload
def dump_payload(self, header, obj):
base64d_header = base64_encode(self.serializer.dumps(header))
base64d_payload = base64_encode(self.serializer.dumps(obj))
return base64d_header + b'.' + base64d_payload
def make_algorithm(self, algorithm_name):
try:
return self.jws_algorithms[algorithm_name]
except KeyError:
raise NotImplementedError('Algorithm not supported')
def make_signer(self, salt=None, algorithm=None):
if salt is None:
salt = self.salt
key_derivation = 'none' if salt is None else None
if algorithm is None:
algorithm = self.algorithm
return self.signer(self.secret_key, salt=salt, sep='.',
key_derivation=key_derivation, algorithm=algorithm)
def make_header(self, header_fields):
header = header_fields.copy() if header_fields else {}
header['alg'] = self.algorithm_name
return header
def dumps(self, obj, salt=None, header_fields=None):
"""Like :meth:`~Serializer.dumps` but creates a JSON Web Signature. It
also allows for specifying additional fields to be included in the JWS
Header.
"""
header = self.make_header(header_fields)
signer = self.make_signer(salt, self.algorithm)
return signer.sign(self.dump_payload(header, obj))
def loads(self, s, salt=None, return_header=False):
"""Reverse of :meth:`dumps`. If requested via `return_header` it will
return a tuple of payload and header.
"""
payload, header = self.load_payload(
self.make_signer(salt, self.algorithm).unsign(want_bytes(s)),
return_header=True)
if header.get('alg') != self.algorithm_name:
raise BadHeader('Algorithm mismatch', header=header,
payload=payload)
if return_header:
return payload, header
return payload
def loads_unsafe(self, s, salt=None, return_header=False):
kwargs = {'return_header': return_header}
return self._loads_unsafe_impl(s, salt, kwargs, kwargs)
class TimedJSONWebSignatureSerializer(JSONWebSignatureSerializer):
"""Works like the regular :class:`JSONWebSignatureSerializer` but also
records the time of the signing and can be used to expire signatures.
JWS currently does not specify this behavior but it mentions a possibility
extension like this in the spec. Expiry date is encoded into the header
similarily as specified in `draft-ietf-oauth-json-web-token
<http://self-issued.info/docs/draft-ietf-oauth-json-web-token.html#expDef`_.
The unsign method can raise a :exc:`SignatureExpired` method if the
unsigning failed because the signature is expired. This exception is a
subclass of :exc:`BadSignature`.
"""
DEFAULT_EXPIRES_IN = 3600
def __init__(self, secret_key, expires_in=None, **kwargs):
JSONWebSignatureSerializer.__init__(self, secret_key, **kwargs)
if expires_in is None:
expires_in = self.DEFAULT_EXPIRES_IN
self.expires_in = expires_in
def make_header(self, header_fields):
header = JSONWebSignatureSerializer.make_header(self, header_fields)
iat = self.now()
exp = iat + self.expires_in
header['iat'] = iat
header['exp'] = exp
return header
def loads(self, s, salt=None, return_header=False):
payload, header = JSONWebSignatureSerializer.loads(
self, s, salt, return_header=True)
if 'exp' not in header:
raise BadSignature('Missing expiry date', payload=payload)
if not (isinstance(header['exp'], number_types)
and header['exp'] > 0):
raise BadSignature('expiry date is not an IntDate',
payload=payload)
if header['exp'] < self.now():
raise SignatureExpired('Signature expired', payload=payload,
date_signed=self.get_issue_date(header))
if return_header:
return payload, header
return payload
def get_issue_date(self, header):
rv = header.get('iat')
if isinstance(rv, number_types):
return datetime.utcfromtimestamp(int(rv))
def now(self):
return int(time.time())
class URLSafeSerializerMixin(object):
"""Mixed in with a regular serializer it will attempt to zlib compress
the string to make it shorter if necessary. It will also base64 encode
the string so that it can safely be placed in a URL.
"""
def load_payload(self, payload):
decompress = False
if payload.startswith(b'.'):
payload = payload[1:]
decompress = True
try:
json = base64_decode(payload)
except Exception as e:
raise BadPayload('Could not base64 decode the payload because of '
'an exception', original_error=e)
if decompress:
try:
json = zlib.decompress(json)
except Exception as e:
raise BadPayload('Could not zlib decompress the payload before '
'decoding the payload', original_error=e)
return super(URLSafeSerializerMixin, self).load_payload(json)
def dump_payload(self, obj):
json = super(URLSafeSerializerMixin, self).dump_payload(obj)
is_compressed = False
compressed = zlib.compress(json)
if len(compressed) < (len(json) - 1):
json = compressed
is_compressed = True
base64d = base64_encode(json)
if is_compressed:
base64d = b'.' + base64d
return base64d
class URLSafeSerializer(URLSafeSerializerMixin, Serializer):
"""Works like :class:`Serializer` but dumps and loads into a URL
safe string consisting of the upper and lowercase character of the
alphabet as well as ``'_'``, ``'-'`` and ``'.'``.
"""
default_serializer = compact_json
class URLSafeTimedSerializer(URLSafeSerializerMixin, TimedSerializer):
"""Works like :class:`TimedSerializer` but dumps and loads into a URL
safe string consisting of the upper and lowercase character of the
alphabet as well as ``'_'``, ``'-'`` and ``'.'``.
"""
default_serializer = compact_json
| apache-2.0 |
felixbb/forseti-security | tests/common/gcp_api/bigquery_test.py | 1 | 5019 | # Copyright 2017 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.
"""Tests the Bigquery client."""
import mock
import httplib2
from googleapiclient.errors import HttpError
from google.apputils import basetest
from google.cloud.security.common.gcp_api import bigquery as bq
from google.cloud.security.common.gcp_api import _base_client as _base_client
from google.cloud.security.common.gcp_api import errors as api_errors
from tests.common.gcp_api.test_data import fake_bigquery as fbq
class BigqueryTestCase(basetest.TestCase):
"""Test the Bigquery API Client."""
MAX_BIGQUERY_API_CALLS_PER_100_SECONDS = 88888
@mock.patch.object(bq, 'FLAGS')
@mock.patch.object(_base_client.BaseClient, '__init__', autospec=True)
def setUp(self, mock_base_client, mock_flags):
"""Set up."""
mock_flags.max_bigquery_api_calls_per_100_seconds = (
self.MAX_BIGQUERY_API_CALLS_PER_100_SECONDS)
self.bq_api_client = bq.BigQueryClient()
self.http_response = httplib2.Response(
{'status': '400', 'content-type': 'application/json'}
)
def test_api_client_is_initialized(self):
"""Test that the api client is initialized."""
self.assertEquals(
self.MAX_BIGQUERY_API_CALLS_PER_100_SECONDS,
self.bq_api_client.rate_limiter.max_calls)
self.assertEquals(
bq.BigQueryClient.DEFAULT_QUOTA_TIMESPAN_PER_SECONDS,
self.bq_api_client.rate_limiter.period)
def test_get_bigquery_projectids_raises(self):
mock_bq_stub = mock.MagicMock()
self.bq_api_client.service = mock.MagicMock()
self.bq_api_client.service.projects.return_value = mock_bq_stub
self.bq_api_client._execute = mock.MagicMock(
side_effect=HttpError(self.http_response, '{}')
)
with self.assertRaises(api_errors.ApiExecutionError):
self.bq_api_client.get_bigquery_projectids()
def test_get_bigquery_projectids(self):
mock_bq_stub = mock.MagicMock()
self.bq_api_client.service = mock.MagicMock()
self.bq_api_client.service.projects.return_value = mock_bq_stub
self.bq_api_client._build_paged_result = mock.MagicMock(
return_value=fbq.PROJECTS_LIST_REQUEST_RESPONSE
)
return_value = self.bq_api_client.get_bigquery_projectids()
self.assertListEqual(return_value, fbq.PROJECTS_LIST_EXPECTED)
def test_get_datasets_for_projectid_raises(self):
mock_bq_stub = mock.MagicMock()
self.bq_api_client.service = mock.MagicMock()
self.bq_api_client.service.datasets.return_value = mock_bq_stub
self.bq_api_client._execute = mock.MagicMock(
side_effect=HttpError(self.http_response, '{}')
)
with self.assertRaises(api_errors.ApiExecutionError):
self.bq_api_client.get_datasets_for_projectid(fbq.PROJECT_IDS[0])
def test_getdatasets_for_projectid(self):
mock_bq_stub = mock.MagicMock()
self.bq_api_client.service = mock.MagicMock()
self.bq_api_client.service.datasets.return_value = mock_bq_stub
self.bq_api_client._build_paged_result = mock.MagicMock(
return_value=fbq.DATASETS_LIST_REQUEST_RESPONSE
)
return_value = self.bq_api_client.get_datasets_for_projectid('')
self.assertListEqual(return_value, fbq.DATASETS_LIST_EXPECTED)
def test_get_dataset_access_raises(self):
mock_bq_stub = mock.MagicMock()
self.bq_api_client.service = mock.MagicMock()
self.bq_api_client.service.datasets.return_value = mock_bq_stub
self.bq_api_client._execute = mock.MagicMock(
side_effect=HttpError(self.http_response, '{}')
)
with self.assertRaises(api_errors.ApiExecutionError):
self.bq_api_client.get_dataset_access(fbq.PROJECT_IDS[0],
fbq.DATASET_ID)
def test_get_dataset_access(self):
mock_bq_stub = mock.MagicMock()
self.bq_api_client.service = mock.MagicMock()
self.bq_api_client.service.datasets.return_value = mock_bq_stub
self.bq_api_client._build_paged_result = mock.MagicMock(
return_value=fbq.DATASETS_GET_REQUEST_RESPONSE
)
return_value = self.bq_api_client.get_dataset_access('','')
self.assertListEqual(return_value, fbq.DATASETS_GET_EXPECTED)
if __name__ == '__main__':
basetest.main()
| apache-2.0 |
slohse/ansible | setup.py | 34 | 11028 |
from __future__ import print_function
import json
import os
import os.path
import re
import sys
import warnings
from collections import defaultdict
from distutils.command.build_scripts import build_scripts as BuildScripts
from distutils.command.sdist import sdist as SDist
try:
from setuptools import setup, find_packages
from setuptools.command.build_py import build_py as BuildPy
from setuptools.command.install_lib import install_lib as InstallLib
from setuptools.command.install_scripts import install_scripts as InstallScripts
except ImportError:
print("Ansible now needs setuptools in order to build. Install it using"
" your package manager (usually python-setuptools) or via pip (pip"
" install setuptools).", file=sys.stderr)
sys.exit(1)
sys.path.insert(0, os.path.abspath('lib'))
from ansible.release import __version__, __author__
SYMLINK_CACHE = 'SYMLINK_CACHE.json'
def _find_symlinks(topdir, extension=''):
"""Find symlinks that should be maintained
Maintained symlinks exist in the bin dir or are modules which have
aliases. Our heuristic is that they are a link in a certain path which
point to a file in the same directory.
"""
symlinks = defaultdict(list)
for base_path, dirs, files in os.walk(topdir):
for filename in files:
filepath = os.path.join(base_path, filename)
if os.path.islink(filepath) and filename.endswith(extension):
target = os.readlink(filepath)
if os.path.dirname(target) == '':
link = filepath[len(topdir):]
if link.startswith('/'):
link = link[1:]
symlinks[os.path.basename(target)].append(link)
return symlinks
def _cache_symlinks(symlink_data):
with open(SYMLINK_CACHE, 'w') as f:
json.dump(symlink_data, f)
def _maintain_symlinks(symlink_type, base_path):
"""Switch a real file into a symlink"""
try:
# Try the cache first because going from git checkout to sdist is the
# only time we know that we're going to cache correctly
with open(SYMLINK_CACHE, 'r') as f:
symlink_data = json.load(f)
except (IOError, OSError) as e:
# IOError on py2, OSError on py3. Both have errno
if e.errno == 2:
# SYMLINKS_CACHE doesn't exist. Fallback to trying to create the
# cache now. Will work if we're running directly from a git
# checkout or from an sdist created earlier.
symlink_data = {'script': _find_symlinks('bin'),
'library': _find_symlinks('lib', '.py'),
}
# Sanity check that something we know should be a symlink was
# found. We'll take that to mean that the current directory
# structure properly reflects symlinks in the git repo
if 'ansible-playbook' in symlink_data['script']['ansible']:
_cache_symlinks(symlink_data)
else:
raise RuntimeError(
"Pregenerated symlink list was not present and expected "
"symlinks in ./bin were missing or broken. "
"Perhaps this isn't a git checkout?"
)
else:
raise
symlinks = symlink_data[symlink_type]
for source in symlinks:
for dest in symlinks[source]:
dest_path = os.path.join(base_path, dest)
if not os.path.islink(dest_path):
try:
os.unlink(dest_path)
except OSError as e:
if e.errno == 2:
# File does not exist which is all we wanted
pass
os.symlink(source, dest_path)
class BuildPyCommand(BuildPy):
def run(self):
BuildPy.run(self)
_maintain_symlinks('library', self.build_lib)
class BuildScriptsCommand(BuildScripts):
def run(self):
BuildScripts.run(self)
_maintain_symlinks('script', self.build_dir)
class InstallLibCommand(InstallLib):
def run(self):
InstallLib.run(self)
_maintain_symlinks('library', self.install_dir)
class InstallScriptsCommand(InstallScripts):
def run(self):
InstallScripts.run(self)
_maintain_symlinks('script', self.install_dir)
class SDistCommand(SDist):
def run(self):
# have to generate the cache of symlinks for release as sdist is the
# only command that has access to symlinks from the git repo
symlinks = {'script': _find_symlinks('bin'),
'library': _find_symlinks('lib', '.py'),
}
_cache_symlinks(symlinks)
SDist.run(self)
def read_file(file_name):
"""Read file and return its contents."""
with open(file_name, 'r') as f:
return f.read()
def read_requirements(file_name):
"""Read requirements file as a list."""
reqs = read_file(file_name).splitlines()
if not reqs:
raise RuntimeError(
"Unable to read requirements from the %s file"
"That indicates this copy of the source code is incomplete."
% file_name
)
return reqs
PYCRYPTO_DIST = 'pycrypto'
def get_crypto_req():
"""Detect custom crypto from ANSIBLE_CRYPTO_BACKEND env var.
pycrypto or cryptography. We choose a default but allow the user to
override it. This translates into pip install of the sdist deciding what
package to install and also the runtime dependencies that pkg_resources
knows about.
"""
crypto_backend = os.environ.get('ANSIBLE_CRYPTO_BACKEND', '').strip()
if crypto_backend == PYCRYPTO_DIST:
# Attempt to set version requirements
return '%s >= 2.6' % PYCRYPTO_DIST
return crypto_backend or None
def substitute_crypto_to_req(req):
"""Replace crypto requirements if customized."""
crypto_backend = get_crypto_req()
if crypto_backend is None:
return req
def is_not_crypto(r):
CRYPTO_LIBS = PYCRYPTO_DIST, 'cryptography'
return not any(r.lower().startswith(c) for c in CRYPTO_LIBS)
return [r for r in req if is_not_crypto(r)] + [crypto_backend]
def read_extras():
"""Specify any extra requirements for installation."""
extras = dict()
extra_requirements_dir = 'packaging/requirements'
for extra_requirements_filename in os.listdir(extra_requirements_dir):
filename_match = re.search(r'^requirements-(\w*).txt$', extra_requirements_filename)
if not filename_match:
continue
extra_req_file_path = os.path.join(extra_requirements_dir, extra_requirements_filename)
try:
extras[filename_match.group(1)] = read_file(extra_req_file_path).splitlines()
except RuntimeError:
pass
return extras
def get_dynamic_setup_params():
"""Add dynamically calculated setup params to static ones."""
return {
# Retrieve the long description from the README
'long_description': read_file('README.rst'),
'install_requires': substitute_crypto_to_req(
read_requirements('requirements.txt'),
),
'extras_require': read_extras(),
}
static_setup_params = dict(
# Use the distutils SDist so that symlinks are not expanded
# Use a custom Build for the same reason
cmdclass={
'build_py': BuildPyCommand,
'build_scripts': BuildScriptsCommand,
'install_lib': InstallLibCommand,
'install_scripts': InstallScriptsCommand,
'sdist': SDistCommand,
},
name='ansible',
version=__version__,
description='Radically simple IT automation',
author=__author__,
author_email='[email protected]',
url='https://ansible.com/',
project_urls={
'Bug Tracker': 'https://github.com/ansible/ansible/issues',
'CI: Shippable': 'https://app.shippable.com/github/ansible/ansible',
'Code of Conduct': 'https://docs.ansible.com/ansible/latest/community/code_of_conduct.html',
'Documentation': 'https://docs.ansible.com/ansible/',
'Mailing lists': 'https://docs.ansible.com/ansible/latest/community/communication.html#mailing-list-information',
'Source Code': 'https://github.com/ansible/ansible',
},
license='GPLv3+',
# Ansible will also make use of a system copy of python-six and
# python-selectors2 if installed but use a Bundled copy if it's not.
python_requires='>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*',
package_dir={'': 'lib'},
packages=find_packages('lib'),
package_data={
'': [
'executor/powershell/*.ps1',
'module_utils/csharp/*.cs',
'module_utils/csharp/*/*.cs',
'module_utils/powershell/*.psm1',
'module_utils/powershell/*/*.psm1',
'modules/windows/*.ps1',
'modules/windows/*/*.ps1',
'galaxy/data/*/*.*',
'galaxy/data/*/*/.*',
'galaxy/data/*/*/*.*',
'galaxy/data/*/tests/inventory',
'config/base.yml',
'config/module_defaults.yml',
],
},
classifiers=[
'Development Status :: 5 - Production/Stable',
'Environment :: Console',
'Intended Audience :: Developers',
'Intended Audience :: Information Technology',
'Intended Audience :: System Administrators',
'License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)',
'Natural Language :: English',
'Operating System :: POSIX',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Topic :: System :: Installation/Setup',
'Topic :: System :: Systems Administration',
'Topic :: Utilities',
],
scripts=[
'bin/ansible',
'bin/ansible-playbook',
'bin/ansible-pull',
'bin/ansible-doc',
'bin/ansible-galaxy',
'bin/ansible-console',
'bin/ansible-connection',
'bin/ansible-vault',
'bin/ansible-config',
'bin/ansible-inventory',
],
data_files=[],
# Installing as zip files would break due to references to __file__
zip_safe=False
)
def main():
"""Invoke installation process using setuptools."""
setup_params = dict(static_setup_params, **get_dynamic_setup_params())
ignore_warning_regex = (
r"Unknown distribution option: '(project_urls|python_requires)'"
)
warnings.filterwarnings(
'ignore',
message=ignore_warning_regex,
category=UserWarning,
module='distutils.dist',
)
setup(**setup_params)
warnings.resetwarnings()
if __name__ == '__main__':
main()
| gpl-3.0 |
sekikn/incubator-airflow | airflow/contrib/hooks/aws_athena_hook.py | 12 | 1153 | #
# 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.
"""This module is deprecated. Please use `airflow.providers.amazon.aws.hooks.athena`."""
import warnings
# pylint: disable=unused-import
from airflow.providers.amazon.aws.hooks.athena import AWSAthenaHook # noqa
warnings.warn(
"This module is deprecated. Please use `airflow.providers.amazon.aws.hooks.athena`.",
DeprecationWarning,
stacklevel=2,
)
| apache-2.0 |
clumsy/intellij-community | python/lib/Lib/encodings/cp866.py | 593 | 34652 | """ Python Character Mapping Codec generated from 'VENDORS/MICSFT/PC/CP866.TXT' with gencodec.py.
"""#"
import codecs
### Codec APIs
class Codec(codecs.Codec):
def encode(self,input,errors='strict'):
return codecs.charmap_encode(input,errors,encoding_map)
def decode(self,input,errors='strict'):
return codecs.charmap_decode(input,errors,decoding_table)
class IncrementalEncoder(codecs.IncrementalEncoder):
def encode(self, input, final=False):
return codecs.charmap_encode(input,self.errors,encoding_map)[0]
class IncrementalDecoder(codecs.IncrementalDecoder):
def decode(self, input, final=False):
return codecs.charmap_decode(input,self.errors,decoding_table)[0]
class StreamWriter(Codec,codecs.StreamWriter):
pass
class StreamReader(Codec,codecs.StreamReader):
pass
### encodings module API
def getregentry():
return codecs.CodecInfo(
name='cp866',
encode=Codec().encode,
decode=Codec().decode,
incrementalencoder=IncrementalEncoder,
incrementaldecoder=IncrementalDecoder,
streamreader=StreamReader,
streamwriter=StreamWriter,
)
### Decoding Map
decoding_map = codecs.make_identity_dict(range(256))
decoding_map.update({
0x0080: 0x0410, # CYRILLIC CAPITAL LETTER A
0x0081: 0x0411, # CYRILLIC CAPITAL LETTER BE
0x0082: 0x0412, # CYRILLIC CAPITAL LETTER VE
0x0083: 0x0413, # CYRILLIC CAPITAL LETTER GHE
0x0084: 0x0414, # CYRILLIC CAPITAL LETTER DE
0x0085: 0x0415, # CYRILLIC CAPITAL LETTER IE
0x0086: 0x0416, # CYRILLIC CAPITAL LETTER ZHE
0x0087: 0x0417, # CYRILLIC CAPITAL LETTER ZE
0x0088: 0x0418, # CYRILLIC CAPITAL LETTER I
0x0089: 0x0419, # CYRILLIC CAPITAL LETTER SHORT I
0x008a: 0x041a, # CYRILLIC CAPITAL LETTER KA
0x008b: 0x041b, # CYRILLIC CAPITAL LETTER EL
0x008c: 0x041c, # CYRILLIC CAPITAL LETTER EM
0x008d: 0x041d, # CYRILLIC CAPITAL LETTER EN
0x008e: 0x041e, # CYRILLIC CAPITAL LETTER O
0x008f: 0x041f, # CYRILLIC CAPITAL LETTER PE
0x0090: 0x0420, # CYRILLIC CAPITAL LETTER ER
0x0091: 0x0421, # CYRILLIC CAPITAL LETTER ES
0x0092: 0x0422, # CYRILLIC CAPITAL LETTER TE
0x0093: 0x0423, # CYRILLIC CAPITAL LETTER U
0x0094: 0x0424, # CYRILLIC CAPITAL LETTER EF
0x0095: 0x0425, # CYRILLIC CAPITAL LETTER HA
0x0096: 0x0426, # CYRILLIC CAPITAL LETTER TSE
0x0097: 0x0427, # CYRILLIC CAPITAL LETTER CHE
0x0098: 0x0428, # CYRILLIC CAPITAL LETTER SHA
0x0099: 0x0429, # CYRILLIC CAPITAL LETTER SHCHA
0x009a: 0x042a, # CYRILLIC CAPITAL LETTER HARD SIGN
0x009b: 0x042b, # CYRILLIC CAPITAL LETTER YERU
0x009c: 0x042c, # CYRILLIC CAPITAL LETTER SOFT SIGN
0x009d: 0x042d, # CYRILLIC CAPITAL LETTER E
0x009e: 0x042e, # CYRILLIC CAPITAL LETTER YU
0x009f: 0x042f, # CYRILLIC CAPITAL LETTER YA
0x00a0: 0x0430, # CYRILLIC SMALL LETTER A
0x00a1: 0x0431, # CYRILLIC SMALL LETTER BE
0x00a2: 0x0432, # CYRILLIC SMALL LETTER VE
0x00a3: 0x0433, # CYRILLIC SMALL LETTER GHE
0x00a4: 0x0434, # CYRILLIC SMALL LETTER DE
0x00a5: 0x0435, # CYRILLIC SMALL LETTER IE
0x00a6: 0x0436, # CYRILLIC SMALL LETTER ZHE
0x00a7: 0x0437, # CYRILLIC SMALL LETTER ZE
0x00a8: 0x0438, # CYRILLIC SMALL LETTER I
0x00a9: 0x0439, # CYRILLIC SMALL LETTER SHORT I
0x00aa: 0x043a, # CYRILLIC SMALL LETTER KA
0x00ab: 0x043b, # CYRILLIC SMALL LETTER EL
0x00ac: 0x043c, # CYRILLIC SMALL LETTER EM
0x00ad: 0x043d, # CYRILLIC SMALL LETTER EN
0x00ae: 0x043e, # CYRILLIC SMALL LETTER O
0x00af: 0x043f, # CYRILLIC SMALL LETTER PE
0x00b0: 0x2591, # LIGHT SHADE
0x00b1: 0x2592, # MEDIUM SHADE
0x00b2: 0x2593, # DARK SHADE
0x00b3: 0x2502, # BOX DRAWINGS LIGHT VERTICAL
0x00b4: 0x2524, # BOX DRAWINGS LIGHT VERTICAL AND LEFT
0x00b5: 0x2561, # BOX DRAWINGS VERTICAL SINGLE AND LEFT DOUBLE
0x00b6: 0x2562, # BOX DRAWINGS VERTICAL DOUBLE AND LEFT SINGLE
0x00b7: 0x2556, # BOX DRAWINGS DOWN DOUBLE AND LEFT SINGLE
0x00b8: 0x2555, # BOX DRAWINGS DOWN SINGLE AND LEFT DOUBLE
0x00b9: 0x2563, # BOX DRAWINGS DOUBLE VERTICAL AND LEFT
0x00ba: 0x2551, # BOX DRAWINGS DOUBLE VERTICAL
0x00bb: 0x2557, # BOX DRAWINGS DOUBLE DOWN AND LEFT
0x00bc: 0x255d, # BOX DRAWINGS DOUBLE UP AND LEFT
0x00bd: 0x255c, # BOX DRAWINGS UP DOUBLE AND LEFT SINGLE
0x00be: 0x255b, # BOX DRAWINGS UP SINGLE AND LEFT DOUBLE
0x00bf: 0x2510, # BOX DRAWINGS LIGHT DOWN AND LEFT
0x00c0: 0x2514, # BOX DRAWINGS LIGHT UP AND RIGHT
0x00c1: 0x2534, # BOX DRAWINGS LIGHT UP AND HORIZONTAL
0x00c2: 0x252c, # BOX DRAWINGS LIGHT DOWN AND HORIZONTAL
0x00c3: 0x251c, # BOX DRAWINGS LIGHT VERTICAL AND RIGHT
0x00c4: 0x2500, # BOX DRAWINGS LIGHT HORIZONTAL
0x00c5: 0x253c, # BOX DRAWINGS LIGHT VERTICAL AND HORIZONTAL
0x00c6: 0x255e, # BOX DRAWINGS VERTICAL SINGLE AND RIGHT DOUBLE
0x00c7: 0x255f, # BOX DRAWINGS VERTICAL DOUBLE AND RIGHT SINGLE
0x00c8: 0x255a, # BOX DRAWINGS DOUBLE UP AND RIGHT
0x00c9: 0x2554, # BOX DRAWINGS DOUBLE DOWN AND RIGHT
0x00ca: 0x2569, # BOX DRAWINGS DOUBLE UP AND HORIZONTAL
0x00cb: 0x2566, # BOX DRAWINGS DOUBLE DOWN AND HORIZONTAL
0x00cc: 0x2560, # BOX DRAWINGS DOUBLE VERTICAL AND RIGHT
0x00cd: 0x2550, # BOX DRAWINGS DOUBLE HORIZONTAL
0x00ce: 0x256c, # BOX DRAWINGS DOUBLE VERTICAL AND HORIZONTAL
0x00cf: 0x2567, # BOX DRAWINGS UP SINGLE AND HORIZONTAL DOUBLE
0x00d0: 0x2568, # BOX DRAWINGS UP DOUBLE AND HORIZONTAL SINGLE
0x00d1: 0x2564, # BOX DRAWINGS DOWN SINGLE AND HORIZONTAL DOUBLE
0x00d2: 0x2565, # BOX DRAWINGS DOWN DOUBLE AND HORIZONTAL SINGLE
0x00d3: 0x2559, # BOX DRAWINGS UP DOUBLE AND RIGHT SINGLE
0x00d4: 0x2558, # BOX DRAWINGS UP SINGLE AND RIGHT DOUBLE
0x00d5: 0x2552, # BOX DRAWINGS DOWN SINGLE AND RIGHT DOUBLE
0x00d6: 0x2553, # BOX DRAWINGS DOWN DOUBLE AND RIGHT SINGLE
0x00d7: 0x256b, # BOX DRAWINGS VERTICAL DOUBLE AND HORIZONTAL SINGLE
0x00d8: 0x256a, # BOX DRAWINGS VERTICAL SINGLE AND HORIZONTAL DOUBLE
0x00d9: 0x2518, # BOX DRAWINGS LIGHT UP AND LEFT
0x00da: 0x250c, # BOX DRAWINGS LIGHT DOWN AND RIGHT
0x00db: 0x2588, # FULL BLOCK
0x00dc: 0x2584, # LOWER HALF BLOCK
0x00dd: 0x258c, # LEFT HALF BLOCK
0x00de: 0x2590, # RIGHT HALF BLOCK
0x00df: 0x2580, # UPPER HALF BLOCK
0x00e0: 0x0440, # CYRILLIC SMALL LETTER ER
0x00e1: 0x0441, # CYRILLIC SMALL LETTER ES
0x00e2: 0x0442, # CYRILLIC SMALL LETTER TE
0x00e3: 0x0443, # CYRILLIC SMALL LETTER U
0x00e4: 0x0444, # CYRILLIC SMALL LETTER EF
0x00e5: 0x0445, # CYRILLIC SMALL LETTER HA
0x00e6: 0x0446, # CYRILLIC SMALL LETTER TSE
0x00e7: 0x0447, # CYRILLIC SMALL LETTER CHE
0x00e8: 0x0448, # CYRILLIC SMALL LETTER SHA
0x00e9: 0x0449, # CYRILLIC SMALL LETTER SHCHA
0x00ea: 0x044a, # CYRILLIC SMALL LETTER HARD SIGN
0x00eb: 0x044b, # CYRILLIC SMALL LETTER YERU
0x00ec: 0x044c, # CYRILLIC SMALL LETTER SOFT SIGN
0x00ed: 0x044d, # CYRILLIC SMALL LETTER E
0x00ee: 0x044e, # CYRILLIC SMALL LETTER YU
0x00ef: 0x044f, # CYRILLIC SMALL LETTER YA
0x00f0: 0x0401, # CYRILLIC CAPITAL LETTER IO
0x00f1: 0x0451, # CYRILLIC SMALL LETTER IO
0x00f2: 0x0404, # CYRILLIC CAPITAL LETTER UKRAINIAN IE
0x00f3: 0x0454, # CYRILLIC SMALL LETTER UKRAINIAN IE
0x00f4: 0x0407, # CYRILLIC CAPITAL LETTER YI
0x00f5: 0x0457, # CYRILLIC SMALL LETTER YI
0x00f6: 0x040e, # CYRILLIC CAPITAL LETTER SHORT U
0x00f7: 0x045e, # CYRILLIC SMALL LETTER SHORT U
0x00f8: 0x00b0, # DEGREE SIGN
0x00f9: 0x2219, # BULLET OPERATOR
0x00fa: 0x00b7, # MIDDLE DOT
0x00fb: 0x221a, # SQUARE ROOT
0x00fc: 0x2116, # NUMERO SIGN
0x00fd: 0x00a4, # CURRENCY SIGN
0x00fe: 0x25a0, # BLACK SQUARE
0x00ff: 0x00a0, # NO-BREAK SPACE
})
### Decoding Table
decoding_table = (
u'\x00' # 0x0000 -> NULL
u'\x01' # 0x0001 -> START OF HEADING
u'\x02' # 0x0002 -> START OF TEXT
u'\x03' # 0x0003 -> END OF TEXT
u'\x04' # 0x0004 -> END OF TRANSMISSION
u'\x05' # 0x0005 -> ENQUIRY
u'\x06' # 0x0006 -> ACKNOWLEDGE
u'\x07' # 0x0007 -> BELL
u'\x08' # 0x0008 -> BACKSPACE
u'\t' # 0x0009 -> HORIZONTAL TABULATION
u'\n' # 0x000a -> LINE FEED
u'\x0b' # 0x000b -> VERTICAL TABULATION
u'\x0c' # 0x000c -> FORM FEED
u'\r' # 0x000d -> CARRIAGE RETURN
u'\x0e' # 0x000e -> SHIFT OUT
u'\x0f' # 0x000f -> SHIFT IN
u'\x10' # 0x0010 -> DATA LINK ESCAPE
u'\x11' # 0x0011 -> DEVICE CONTROL ONE
u'\x12' # 0x0012 -> DEVICE CONTROL TWO
u'\x13' # 0x0013 -> DEVICE CONTROL THREE
u'\x14' # 0x0014 -> DEVICE CONTROL FOUR
u'\x15' # 0x0015 -> NEGATIVE ACKNOWLEDGE
u'\x16' # 0x0016 -> SYNCHRONOUS IDLE
u'\x17' # 0x0017 -> END OF TRANSMISSION BLOCK
u'\x18' # 0x0018 -> CANCEL
u'\x19' # 0x0019 -> END OF MEDIUM
u'\x1a' # 0x001a -> SUBSTITUTE
u'\x1b' # 0x001b -> ESCAPE
u'\x1c' # 0x001c -> FILE SEPARATOR
u'\x1d' # 0x001d -> GROUP SEPARATOR
u'\x1e' # 0x001e -> RECORD SEPARATOR
u'\x1f' # 0x001f -> UNIT SEPARATOR
u' ' # 0x0020 -> SPACE
u'!' # 0x0021 -> EXCLAMATION MARK
u'"' # 0x0022 -> QUOTATION MARK
u'#' # 0x0023 -> NUMBER SIGN
u'$' # 0x0024 -> DOLLAR SIGN
u'%' # 0x0025 -> PERCENT SIGN
u'&' # 0x0026 -> AMPERSAND
u"'" # 0x0027 -> APOSTROPHE
u'(' # 0x0028 -> LEFT PARENTHESIS
u')' # 0x0029 -> RIGHT PARENTHESIS
u'*' # 0x002a -> ASTERISK
u'+' # 0x002b -> PLUS SIGN
u',' # 0x002c -> COMMA
u'-' # 0x002d -> HYPHEN-MINUS
u'.' # 0x002e -> FULL STOP
u'/' # 0x002f -> SOLIDUS
u'0' # 0x0030 -> DIGIT ZERO
u'1' # 0x0031 -> DIGIT ONE
u'2' # 0x0032 -> DIGIT TWO
u'3' # 0x0033 -> DIGIT THREE
u'4' # 0x0034 -> DIGIT FOUR
u'5' # 0x0035 -> DIGIT FIVE
u'6' # 0x0036 -> DIGIT SIX
u'7' # 0x0037 -> DIGIT SEVEN
u'8' # 0x0038 -> DIGIT EIGHT
u'9' # 0x0039 -> DIGIT NINE
u':' # 0x003a -> COLON
u';' # 0x003b -> SEMICOLON
u'<' # 0x003c -> LESS-THAN SIGN
u'=' # 0x003d -> EQUALS SIGN
u'>' # 0x003e -> GREATER-THAN SIGN
u'?' # 0x003f -> QUESTION MARK
u'@' # 0x0040 -> COMMERCIAL AT
u'A' # 0x0041 -> LATIN CAPITAL LETTER A
u'B' # 0x0042 -> LATIN CAPITAL LETTER B
u'C' # 0x0043 -> LATIN CAPITAL LETTER C
u'D' # 0x0044 -> LATIN CAPITAL LETTER D
u'E' # 0x0045 -> LATIN CAPITAL LETTER E
u'F' # 0x0046 -> LATIN CAPITAL LETTER F
u'G' # 0x0047 -> LATIN CAPITAL LETTER G
u'H' # 0x0048 -> LATIN CAPITAL LETTER H
u'I' # 0x0049 -> LATIN CAPITAL LETTER I
u'J' # 0x004a -> LATIN CAPITAL LETTER J
u'K' # 0x004b -> LATIN CAPITAL LETTER K
u'L' # 0x004c -> LATIN CAPITAL LETTER L
u'M' # 0x004d -> LATIN CAPITAL LETTER M
u'N' # 0x004e -> LATIN CAPITAL LETTER N
u'O' # 0x004f -> LATIN CAPITAL LETTER O
u'P' # 0x0050 -> LATIN CAPITAL LETTER P
u'Q' # 0x0051 -> LATIN CAPITAL LETTER Q
u'R' # 0x0052 -> LATIN CAPITAL LETTER R
u'S' # 0x0053 -> LATIN CAPITAL LETTER S
u'T' # 0x0054 -> LATIN CAPITAL LETTER T
u'U' # 0x0055 -> LATIN CAPITAL LETTER U
u'V' # 0x0056 -> LATIN CAPITAL LETTER V
u'W' # 0x0057 -> LATIN CAPITAL LETTER W
u'X' # 0x0058 -> LATIN CAPITAL LETTER X
u'Y' # 0x0059 -> LATIN CAPITAL LETTER Y
u'Z' # 0x005a -> LATIN CAPITAL LETTER Z
u'[' # 0x005b -> LEFT SQUARE BRACKET
u'\\' # 0x005c -> REVERSE SOLIDUS
u']' # 0x005d -> RIGHT SQUARE BRACKET
u'^' # 0x005e -> CIRCUMFLEX ACCENT
u'_' # 0x005f -> LOW LINE
u'`' # 0x0060 -> GRAVE ACCENT
u'a' # 0x0061 -> LATIN SMALL LETTER A
u'b' # 0x0062 -> LATIN SMALL LETTER B
u'c' # 0x0063 -> LATIN SMALL LETTER C
u'd' # 0x0064 -> LATIN SMALL LETTER D
u'e' # 0x0065 -> LATIN SMALL LETTER E
u'f' # 0x0066 -> LATIN SMALL LETTER F
u'g' # 0x0067 -> LATIN SMALL LETTER G
u'h' # 0x0068 -> LATIN SMALL LETTER H
u'i' # 0x0069 -> LATIN SMALL LETTER I
u'j' # 0x006a -> LATIN SMALL LETTER J
u'k' # 0x006b -> LATIN SMALL LETTER K
u'l' # 0x006c -> LATIN SMALL LETTER L
u'm' # 0x006d -> LATIN SMALL LETTER M
u'n' # 0x006e -> LATIN SMALL LETTER N
u'o' # 0x006f -> LATIN SMALL LETTER O
u'p' # 0x0070 -> LATIN SMALL LETTER P
u'q' # 0x0071 -> LATIN SMALL LETTER Q
u'r' # 0x0072 -> LATIN SMALL LETTER R
u's' # 0x0073 -> LATIN SMALL LETTER S
u't' # 0x0074 -> LATIN SMALL LETTER T
u'u' # 0x0075 -> LATIN SMALL LETTER U
u'v' # 0x0076 -> LATIN SMALL LETTER V
u'w' # 0x0077 -> LATIN SMALL LETTER W
u'x' # 0x0078 -> LATIN SMALL LETTER X
u'y' # 0x0079 -> LATIN SMALL LETTER Y
u'z' # 0x007a -> LATIN SMALL LETTER Z
u'{' # 0x007b -> LEFT CURLY BRACKET
u'|' # 0x007c -> VERTICAL LINE
u'}' # 0x007d -> RIGHT CURLY BRACKET
u'~' # 0x007e -> TILDE
u'\x7f' # 0x007f -> DELETE
u'\u0410' # 0x0080 -> CYRILLIC CAPITAL LETTER A
u'\u0411' # 0x0081 -> CYRILLIC CAPITAL LETTER BE
u'\u0412' # 0x0082 -> CYRILLIC CAPITAL LETTER VE
u'\u0413' # 0x0083 -> CYRILLIC CAPITAL LETTER GHE
u'\u0414' # 0x0084 -> CYRILLIC CAPITAL LETTER DE
u'\u0415' # 0x0085 -> CYRILLIC CAPITAL LETTER IE
u'\u0416' # 0x0086 -> CYRILLIC CAPITAL LETTER ZHE
u'\u0417' # 0x0087 -> CYRILLIC CAPITAL LETTER ZE
u'\u0418' # 0x0088 -> CYRILLIC CAPITAL LETTER I
u'\u0419' # 0x0089 -> CYRILLIC CAPITAL LETTER SHORT I
u'\u041a' # 0x008a -> CYRILLIC CAPITAL LETTER KA
u'\u041b' # 0x008b -> CYRILLIC CAPITAL LETTER EL
u'\u041c' # 0x008c -> CYRILLIC CAPITAL LETTER EM
u'\u041d' # 0x008d -> CYRILLIC CAPITAL LETTER EN
u'\u041e' # 0x008e -> CYRILLIC CAPITAL LETTER O
u'\u041f' # 0x008f -> CYRILLIC CAPITAL LETTER PE
u'\u0420' # 0x0090 -> CYRILLIC CAPITAL LETTER ER
u'\u0421' # 0x0091 -> CYRILLIC CAPITAL LETTER ES
u'\u0422' # 0x0092 -> CYRILLIC CAPITAL LETTER TE
u'\u0423' # 0x0093 -> CYRILLIC CAPITAL LETTER U
u'\u0424' # 0x0094 -> CYRILLIC CAPITAL LETTER EF
u'\u0425' # 0x0095 -> CYRILLIC CAPITAL LETTER HA
u'\u0426' # 0x0096 -> CYRILLIC CAPITAL LETTER TSE
u'\u0427' # 0x0097 -> CYRILLIC CAPITAL LETTER CHE
u'\u0428' # 0x0098 -> CYRILLIC CAPITAL LETTER SHA
u'\u0429' # 0x0099 -> CYRILLIC CAPITAL LETTER SHCHA
u'\u042a' # 0x009a -> CYRILLIC CAPITAL LETTER HARD SIGN
u'\u042b' # 0x009b -> CYRILLIC CAPITAL LETTER YERU
u'\u042c' # 0x009c -> CYRILLIC CAPITAL LETTER SOFT SIGN
u'\u042d' # 0x009d -> CYRILLIC CAPITAL LETTER E
u'\u042e' # 0x009e -> CYRILLIC CAPITAL LETTER YU
u'\u042f' # 0x009f -> CYRILLIC CAPITAL LETTER YA
u'\u0430' # 0x00a0 -> CYRILLIC SMALL LETTER A
u'\u0431' # 0x00a1 -> CYRILLIC SMALL LETTER BE
u'\u0432' # 0x00a2 -> CYRILLIC SMALL LETTER VE
u'\u0433' # 0x00a3 -> CYRILLIC SMALL LETTER GHE
u'\u0434' # 0x00a4 -> CYRILLIC SMALL LETTER DE
u'\u0435' # 0x00a5 -> CYRILLIC SMALL LETTER IE
u'\u0436' # 0x00a6 -> CYRILLIC SMALL LETTER ZHE
u'\u0437' # 0x00a7 -> CYRILLIC SMALL LETTER ZE
u'\u0438' # 0x00a8 -> CYRILLIC SMALL LETTER I
u'\u0439' # 0x00a9 -> CYRILLIC SMALL LETTER SHORT I
u'\u043a' # 0x00aa -> CYRILLIC SMALL LETTER KA
u'\u043b' # 0x00ab -> CYRILLIC SMALL LETTER EL
u'\u043c' # 0x00ac -> CYRILLIC SMALL LETTER EM
u'\u043d' # 0x00ad -> CYRILLIC SMALL LETTER EN
u'\u043e' # 0x00ae -> CYRILLIC SMALL LETTER O
u'\u043f' # 0x00af -> CYRILLIC SMALL LETTER PE
u'\u2591' # 0x00b0 -> LIGHT SHADE
u'\u2592' # 0x00b1 -> MEDIUM SHADE
u'\u2593' # 0x00b2 -> DARK SHADE
u'\u2502' # 0x00b3 -> BOX DRAWINGS LIGHT VERTICAL
u'\u2524' # 0x00b4 -> BOX DRAWINGS LIGHT VERTICAL AND LEFT
u'\u2561' # 0x00b5 -> BOX DRAWINGS VERTICAL SINGLE AND LEFT DOUBLE
u'\u2562' # 0x00b6 -> BOX DRAWINGS VERTICAL DOUBLE AND LEFT SINGLE
u'\u2556' # 0x00b7 -> BOX DRAWINGS DOWN DOUBLE AND LEFT SINGLE
u'\u2555' # 0x00b8 -> BOX DRAWINGS DOWN SINGLE AND LEFT DOUBLE
u'\u2563' # 0x00b9 -> BOX DRAWINGS DOUBLE VERTICAL AND LEFT
u'\u2551' # 0x00ba -> BOX DRAWINGS DOUBLE VERTICAL
u'\u2557' # 0x00bb -> BOX DRAWINGS DOUBLE DOWN AND LEFT
u'\u255d' # 0x00bc -> BOX DRAWINGS DOUBLE UP AND LEFT
u'\u255c' # 0x00bd -> BOX DRAWINGS UP DOUBLE AND LEFT SINGLE
u'\u255b' # 0x00be -> BOX DRAWINGS UP SINGLE AND LEFT DOUBLE
u'\u2510' # 0x00bf -> BOX DRAWINGS LIGHT DOWN AND LEFT
u'\u2514' # 0x00c0 -> BOX DRAWINGS LIGHT UP AND RIGHT
u'\u2534' # 0x00c1 -> BOX DRAWINGS LIGHT UP AND HORIZONTAL
u'\u252c' # 0x00c2 -> BOX DRAWINGS LIGHT DOWN AND HORIZONTAL
u'\u251c' # 0x00c3 -> BOX DRAWINGS LIGHT VERTICAL AND RIGHT
u'\u2500' # 0x00c4 -> BOX DRAWINGS LIGHT HORIZONTAL
u'\u253c' # 0x00c5 -> BOX DRAWINGS LIGHT VERTICAL AND HORIZONTAL
u'\u255e' # 0x00c6 -> BOX DRAWINGS VERTICAL SINGLE AND RIGHT DOUBLE
u'\u255f' # 0x00c7 -> BOX DRAWINGS VERTICAL DOUBLE AND RIGHT SINGLE
u'\u255a' # 0x00c8 -> BOX DRAWINGS DOUBLE UP AND RIGHT
u'\u2554' # 0x00c9 -> BOX DRAWINGS DOUBLE DOWN AND RIGHT
u'\u2569' # 0x00ca -> BOX DRAWINGS DOUBLE UP AND HORIZONTAL
u'\u2566' # 0x00cb -> BOX DRAWINGS DOUBLE DOWN AND HORIZONTAL
u'\u2560' # 0x00cc -> BOX DRAWINGS DOUBLE VERTICAL AND RIGHT
u'\u2550' # 0x00cd -> BOX DRAWINGS DOUBLE HORIZONTAL
u'\u256c' # 0x00ce -> BOX DRAWINGS DOUBLE VERTICAL AND HORIZONTAL
u'\u2567' # 0x00cf -> BOX DRAWINGS UP SINGLE AND HORIZONTAL DOUBLE
u'\u2568' # 0x00d0 -> BOX DRAWINGS UP DOUBLE AND HORIZONTAL SINGLE
u'\u2564' # 0x00d1 -> BOX DRAWINGS DOWN SINGLE AND HORIZONTAL DOUBLE
u'\u2565' # 0x00d2 -> BOX DRAWINGS DOWN DOUBLE AND HORIZONTAL SINGLE
u'\u2559' # 0x00d3 -> BOX DRAWINGS UP DOUBLE AND RIGHT SINGLE
u'\u2558' # 0x00d4 -> BOX DRAWINGS UP SINGLE AND RIGHT DOUBLE
u'\u2552' # 0x00d5 -> BOX DRAWINGS DOWN SINGLE AND RIGHT DOUBLE
u'\u2553' # 0x00d6 -> BOX DRAWINGS DOWN DOUBLE AND RIGHT SINGLE
u'\u256b' # 0x00d7 -> BOX DRAWINGS VERTICAL DOUBLE AND HORIZONTAL SINGLE
u'\u256a' # 0x00d8 -> BOX DRAWINGS VERTICAL SINGLE AND HORIZONTAL DOUBLE
u'\u2518' # 0x00d9 -> BOX DRAWINGS LIGHT UP AND LEFT
u'\u250c' # 0x00da -> BOX DRAWINGS LIGHT DOWN AND RIGHT
u'\u2588' # 0x00db -> FULL BLOCK
u'\u2584' # 0x00dc -> LOWER HALF BLOCK
u'\u258c' # 0x00dd -> LEFT HALF BLOCK
u'\u2590' # 0x00de -> RIGHT HALF BLOCK
u'\u2580' # 0x00df -> UPPER HALF BLOCK
u'\u0440' # 0x00e0 -> CYRILLIC SMALL LETTER ER
u'\u0441' # 0x00e1 -> CYRILLIC SMALL LETTER ES
u'\u0442' # 0x00e2 -> CYRILLIC SMALL LETTER TE
u'\u0443' # 0x00e3 -> CYRILLIC SMALL LETTER U
u'\u0444' # 0x00e4 -> CYRILLIC SMALL LETTER EF
u'\u0445' # 0x00e5 -> CYRILLIC SMALL LETTER HA
u'\u0446' # 0x00e6 -> CYRILLIC SMALL LETTER TSE
u'\u0447' # 0x00e7 -> CYRILLIC SMALL LETTER CHE
u'\u0448' # 0x00e8 -> CYRILLIC SMALL LETTER SHA
u'\u0449' # 0x00e9 -> CYRILLIC SMALL LETTER SHCHA
u'\u044a' # 0x00ea -> CYRILLIC SMALL LETTER HARD SIGN
u'\u044b' # 0x00eb -> CYRILLIC SMALL LETTER YERU
u'\u044c' # 0x00ec -> CYRILLIC SMALL LETTER SOFT SIGN
u'\u044d' # 0x00ed -> CYRILLIC SMALL LETTER E
u'\u044e' # 0x00ee -> CYRILLIC SMALL LETTER YU
u'\u044f' # 0x00ef -> CYRILLIC SMALL LETTER YA
u'\u0401' # 0x00f0 -> CYRILLIC CAPITAL LETTER IO
u'\u0451' # 0x00f1 -> CYRILLIC SMALL LETTER IO
u'\u0404' # 0x00f2 -> CYRILLIC CAPITAL LETTER UKRAINIAN IE
u'\u0454' # 0x00f3 -> CYRILLIC SMALL LETTER UKRAINIAN IE
u'\u0407' # 0x00f4 -> CYRILLIC CAPITAL LETTER YI
u'\u0457' # 0x00f5 -> CYRILLIC SMALL LETTER YI
u'\u040e' # 0x00f6 -> CYRILLIC CAPITAL LETTER SHORT U
u'\u045e' # 0x00f7 -> CYRILLIC SMALL LETTER SHORT U
u'\xb0' # 0x00f8 -> DEGREE SIGN
u'\u2219' # 0x00f9 -> BULLET OPERATOR
u'\xb7' # 0x00fa -> MIDDLE DOT
u'\u221a' # 0x00fb -> SQUARE ROOT
u'\u2116' # 0x00fc -> NUMERO SIGN
u'\xa4' # 0x00fd -> CURRENCY SIGN
u'\u25a0' # 0x00fe -> BLACK SQUARE
u'\xa0' # 0x00ff -> NO-BREAK SPACE
)
### Encoding Map
encoding_map = {
0x0000: 0x0000, # NULL
0x0001: 0x0001, # START OF HEADING
0x0002: 0x0002, # START OF TEXT
0x0003: 0x0003, # END OF TEXT
0x0004: 0x0004, # END OF TRANSMISSION
0x0005: 0x0005, # ENQUIRY
0x0006: 0x0006, # ACKNOWLEDGE
0x0007: 0x0007, # BELL
0x0008: 0x0008, # BACKSPACE
0x0009: 0x0009, # HORIZONTAL TABULATION
0x000a: 0x000a, # LINE FEED
0x000b: 0x000b, # VERTICAL TABULATION
0x000c: 0x000c, # FORM FEED
0x000d: 0x000d, # CARRIAGE RETURN
0x000e: 0x000e, # SHIFT OUT
0x000f: 0x000f, # SHIFT IN
0x0010: 0x0010, # DATA LINK ESCAPE
0x0011: 0x0011, # DEVICE CONTROL ONE
0x0012: 0x0012, # DEVICE CONTROL TWO
0x0013: 0x0013, # DEVICE CONTROL THREE
0x0014: 0x0014, # DEVICE CONTROL FOUR
0x0015: 0x0015, # NEGATIVE ACKNOWLEDGE
0x0016: 0x0016, # SYNCHRONOUS IDLE
0x0017: 0x0017, # END OF TRANSMISSION BLOCK
0x0018: 0x0018, # CANCEL
0x0019: 0x0019, # END OF MEDIUM
0x001a: 0x001a, # SUBSTITUTE
0x001b: 0x001b, # ESCAPE
0x001c: 0x001c, # FILE SEPARATOR
0x001d: 0x001d, # GROUP SEPARATOR
0x001e: 0x001e, # RECORD SEPARATOR
0x001f: 0x001f, # UNIT SEPARATOR
0x0020: 0x0020, # SPACE
0x0021: 0x0021, # EXCLAMATION MARK
0x0022: 0x0022, # QUOTATION MARK
0x0023: 0x0023, # NUMBER SIGN
0x0024: 0x0024, # DOLLAR SIGN
0x0025: 0x0025, # PERCENT SIGN
0x0026: 0x0026, # AMPERSAND
0x0027: 0x0027, # APOSTROPHE
0x0028: 0x0028, # LEFT PARENTHESIS
0x0029: 0x0029, # RIGHT PARENTHESIS
0x002a: 0x002a, # ASTERISK
0x002b: 0x002b, # PLUS SIGN
0x002c: 0x002c, # COMMA
0x002d: 0x002d, # HYPHEN-MINUS
0x002e: 0x002e, # FULL STOP
0x002f: 0x002f, # SOLIDUS
0x0030: 0x0030, # DIGIT ZERO
0x0031: 0x0031, # DIGIT ONE
0x0032: 0x0032, # DIGIT TWO
0x0033: 0x0033, # DIGIT THREE
0x0034: 0x0034, # DIGIT FOUR
0x0035: 0x0035, # DIGIT FIVE
0x0036: 0x0036, # DIGIT SIX
0x0037: 0x0037, # DIGIT SEVEN
0x0038: 0x0038, # DIGIT EIGHT
0x0039: 0x0039, # DIGIT NINE
0x003a: 0x003a, # COLON
0x003b: 0x003b, # SEMICOLON
0x003c: 0x003c, # LESS-THAN SIGN
0x003d: 0x003d, # EQUALS SIGN
0x003e: 0x003e, # GREATER-THAN SIGN
0x003f: 0x003f, # QUESTION MARK
0x0040: 0x0040, # COMMERCIAL AT
0x0041: 0x0041, # LATIN CAPITAL LETTER A
0x0042: 0x0042, # LATIN CAPITAL LETTER B
0x0043: 0x0043, # LATIN CAPITAL LETTER C
0x0044: 0x0044, # LATIN CAPITAL LETTER D
0x0045: 0x0045, # LATIN CAPITAL LETTER E
0x0046: 0x0046, # LATIN CAPITAL LETTER F
0x0047: 0x0047, # LATIN CAPITAL LETTER G
0x0048: 0x0048, # LATIN CAPITAL LETTER H
0x0049: 0x0049, # LATIN CAPITAL LETTER I
0x004a: 0x004a, # LATIN CAPITAL LETTER J
0x004b: 0x004b, # LATIN CAPITAL LETTER K
0x004c: 0x004c, # LATIN CAPITAL LETTER L
0x004d: 0x004d, # LATIN CAPITAL LETTER M
0x004e: 0x004e, # LATIN CAPITAL LETTER N
0x004f: 0x004f, # LATIN CAPITAL LETTER O
0x0050: 0x0050, # LATIN CAPITAL LETTER P
0x0051: 0x0051, # LATIN CAPITAL LETTER Q
0x0052: 0x0052, # LATIN CAPITAL LETTER R
0x0053: 0x0053, # LATIN CAPITAL LETTER S
0x0054: 0x0054, # LATIN CAPITAL LETTER T
0x0055: 0x0055, # LATIN CAPITAL LETTER U
0x0056: 0x0056, # LATIN CAPITAL LETTER V
0x0057: 0x0057, # LATIN CAPITAL LETTER W
0x0058: 0x0058, # LATIN CAPITAL LETTER X
0x0059: 0x0059, # LATIN CAPITAL LETTER Y
0x005a: 0x005a, # LATIN CAPITAL LETTER Z
0x005b: 0x005b, # LEFT SQUARE BRACKET
0x005c: 0x005c, # REVERSE SOLIDUS
0x005d: 0x005d, # RIGHT SQUARE BRACKET
0x005e: 0x005e, # CIRCUMFLEX ACCENT
0x005f: 0x005f, # LOW LINE
0x0060: 0x0060, # GRAVE ACCENT
0x0061: 0x0061, # LATIN SMALL LETTER A
0x0062: 0x0062, # LATIN SMALL LETTER B
0x0063: 0x0063, # LATIN SMALL LETTER C
0x0064: 0x0064, # LATIN SMALL LETTER D
0x0065: 0x0065, # LATIN SMALL LETTER E
0x0066: 0x0066, # LATIN SMALL LETTER F
0x0067: 0x0067, # LATIN SMALL LETTER G
0x0068: 0x0068, # LATIN SMALL LETTER H
0x0069: 0x0069, # LATIN SMALL LETTER I
0x006a: 0x006a, # LATIN SMALL LETTER J
0x006b: 0x006b, # LATIN SMALL LETTER K
0x006c: 0x006c, # LATIN SMALL LETTER L
0x006d: 0x006d, # LATIN SMALL LETTER M
0x006e: 0x006e, # LATIN SMALL LETTER N
0x006f: 0x006f, # LATIN SMALL LETTER O
0x0070: 0x0070, # LATIN SMALL LETTER P
0x0071: 0x0071, # LATIN SMALL LETTER Q
0x0072: 0x0072, # LATIN SMALL LETTER R
0x0073: 0x0073, # LATIN SMALL LETTER S
0x0074: 0x0074, # LATIN SMALL LETTER T
0x0075: 0x0075, # LATIN SMALL LETTER U
0x0076: 0x0076, # LATIN SMALL LETTER V
0x0077: 0x0077, # LATIN SMALL LETTER W
0x0078: 0x0078, # LATIN SMALL LETTER X
0x0079: 0x0079, # LATIN SMALL LETTER Y
0x007a: 0x007a, # LATIN SMALL LETTER Z
0x007b: 0x007b, # LEFT CURLY BRACKET
0x007c: 0x007c, # VERTICAL LINE
0x007d: 0x007d, # RIGHT CURLY BRACKET
0x007e: 0x007e, # TILDE
0x007f: 0x007f, # DELETE
0x00a0: 0x00ff, # NO-BREAK SPACE
0x00a4: 0x00fd, # CURRENCY SIGN
0x00b0: 0x00f8, # DEGREE SIGN
0x00b7: 0x00fa, # MIDDLE DOT
0x0401: 0x00f0, # CYRILLIC CAPITAL LETTER IO
0x0404: 0x00f2, # CYRILLIC CAPITAL LETTER UKRAINIAN IE
0x0407: 0x00f4, # CYRILLIC CAPITAL LETTER YI
0x040e: 0x00f6, # CYRILLIC CAPITAL LETTER SHORT U
0x0410: 0x0080, # CYRILLIC CAPITAL LETTER A
0x0411: 0x0081, # CYRILLIC CAPITAL LETTER BE
0x0412: 0x0082, # CYRILLIC CAPITAL LETTER VE
0x0413: 0x0083, # CYRILLIC CAPITAL LETTER GHE
0x0414: 0x0084, # CYRILLIC CAPITAL LETTER DE
0x0415: 0x0085, # CYRILLIC CAPITAL LETTER IE
0x0416: 0x0086, # CYRILLIC CAPITAL LETTER ZHE
0x0417: 0x0087, # CYRILLIC CAPITAL LETTER ZE
0x0418: 0x0088, # CYRILLIC CAPITAL LETTER I
0x0419: 0x0089, # CYRILLIC CAPITAL LETTER SHORT I
0x041a: 0x008a, # CYRILLIC CAPITAL LETTER KA
0x041b: 0x008b, # CYRILLIC CAPITAL LETTER EL
0x041c: 0x008c, # CYRILLIC CAPITAL LETTER EM
0x041d: 0x008d, # CYRILLIC CAPITAL LETTER EN
0x041e: 0x008e, # CYRILLIC CAPITAL LETTER O
0x041f: 0x008f, # CYRILLIC CAPITAL LETTER PE
0x0420: 0x0090, # CYRILLIC CAPITAL LETTER ER
0x0421: 0x0091, # CYRILLIC CAPITAL LETTER ES
0x0422: 0x0092, # CYRILLIC CAPITAL LETTER TE
0x0423: 0x0093, # CYRILLIC CAPITAL LETTER U
0x0424: 0x0094, # CYRILLIC CAPITAL LETTER EF
0x0425: 0x0095, # CYRILLIC CAPITAL LETTER HA
0x0426: 0x0096, # CYRILLIC CAPITAL LETTER TSE
0x0427: 0x0097, # CYRILLIC CAPITAL LETTER CHE
0x0428: 0x0098, # CYRILLIC CAPITAL LETTER SHA
0x0429: 0x0099, # CYRILLIC CAPITAL LETTER SHCHA
0x042a: 0x009a, # CYRILLIC CAPITAL LETTER HARD SIGN
0x042b: 0x009b, # CYRILLIC CAPITAL LETTER YERU
0x042c: 0x009c, # CYRILLIC CAPITAL LETTER SOFT SIGN
0x042d: 0x009d, # CYRILLIC CAPITAL LETTER E
0x042e: 0x009e, # CYRILLIC CAPITAL LETTER YU
0x042f: 0x009f, # CYRILLIC CAPITAL LETTER YA
0x0430: 0x00a0, # CYRILLIC SMALL LETTER A
0x0431: 0x00a1, # CYRILLIC SMALL LETTER BE
0x0432: 0x00a2, # CYRILLIC SMALL LETTER VE
0x0433: 0x00a3, # CYRILLIC SMALL LETTER GHE
0x0434: 0x00a4, # CYRILLIC SMALL LETTER DE
0x0435: 0x00a5, # CYRILLIC SMALL LETTER IE
0x0436: 0x00a6, # CYRILLIC SMALL LETTER ZHE
0x0437: 0x00a7, # CYRILLIC SMALL LETTER ZE
0x0438: 0x00a8, # CYRILLIC SMALL LETTER I
0x0439: 0x00a9, # CYRILLIC SMALL LETTER SHORT I
0x043a: 0x00aa, # CYRILLIC SMALL LETTER KA
0x043b: 0x00ab, # CYRILLIC SMALL LETTER EL
0x043c: 0x00ac, # CYRILLIC SMALL LETTER EM
0x043d: 0x00ad, # CYRILLIC SMALL LETTER EN
0x043e: 0x00ae, # CYRILLIC SMALL LETTER O
0x043f: 0x00af, # CYRILLIC SMALL LETTER PE
0x0440: 0x00e0, # CYRILLIC SMALL LETTER ER
0x0441: 0x00e1, # CYRILLIC SMALL LETTER ES
0x0442: 0x00e2, # CYRILLIC SMALL LETTER TE
0x0443: 0x00e3, # CYRILLIC SMALL LETTER U
0x0444: 0x00e4, # CYRILLIC SMALL LETTER EF
0x0445: 0x00e5, # CYRILLIC SMALL LETTER HA
0x0446: 0x00e6, # CYRILLIC SMALL LETTER TSE
0x0447: 0x00e7, # CYRILLIC SMALL LETTER CHE
0x0448: 0x00e8, # CYRILLIC SMALL LETTER SHA
0x0449: 0x00e9, # CYRILLIC SMALL LETTER SHCHA
0x044a: 0x00ea, # CYRILLIC SMALL LETTER HARD SIGN
0x044b: 0x00eb, # CYRILLIC SMALL LETTER YERU
0x044c: 0x00ec, # CYRILLIC SMALL LETTER SOFT SIGN
0x044d: 0x00ed, # CYRILLIC SMALL LETTER E
0x044e: 0x00ee, # CYRILLIC SMALL LETTER YU
0x044f: 0x00ef, # CYRILLIC SMALL LETTER YA
0x0451: 0x00f1, # CYRILLIC SMALL LETTER IO
0x0454: 0x00f3, # CYRILLIC SMALL LETTER UKRAINIAN IE
0x0457: 0x00f5, # CYRILLIC SMALL LETTER YI
0x045e: 0x00f7, # CYRILLIC SMALL LETTER SHORT U
0x2116: 0x00fc, # NUMERO SIGN
0x2219: 0x00f9, # BULLET OPERATOR
0x221a: 0x00fb, # SQUARE ROOT
0x2500: 0x00c4, # BOX DRAWINGS LIGHT HORIZONTAL
0x2502: 0x00b3, # BOX DRAWINGS LIGHT VERTICAL
0x250c: 0x00da, # BOX DRAWINGS LIGHT DOWN AND RIGHT
0x2510: 0x00bf, # BOX DRAWINGS LIGHT DOWN AND LEFT
0x2514: 0x00c0, # BOX DRAWINGS LIGHT UP AND RIGHT
0x2518: 0x00d9, # BOX DRAWINGS LIGHT UP AND LEFT
0x251c: 0x00c3, # BOX DRAWINGS LIGHT VERTICAL AND RIGHT
0x2524: 0x00b4, # BOX DRAWINGS LIGHT VERTICAL AND LEFT
0x252c: 0x00c2, # BOX DRAWINGS LIGHT DOWN AND HORIZONTAL
0x2534: 0x00c1, # BOX DRAWINGS LIGHT UP AND HORIZONTAL
0x253c: 0x00c5, # BOX DRAWINGS LIGHT VERTICAL AND HORIZONTAL
0x2550: 0x00cd, # BOX DRAWINGS DOUBLE HORIZONTAL
0x2551: 0x00ba, # BOX DRAWINGS DOUBLE VERTICAL
0x2552: 0x00d5, # BOX DRAWINGS DOWN SINGLE AND RIGHT DOUBLE
0x2553: 0x00d6, # BOX DRAWINGS DOWN DOUBLE AND RIGHT SINGLE
0x2554: 0x00c9, # BOX DRAWINGS DOUBLE DOWN AND RIGHT
0x2555: 0x00b8, # BOX DRAWINGS DOWN SINGLE AND LEFT DOUBLE
0x2556: 0x00b7, # BOX DRAWINGS DOWN DOUBLE AND LEFT SINGLE
0x2557: 0x00bb, # BOX DRAWINGS DOUBLE DOWN AND LEFT
0x2558: 0x00d4, # BOX DRAWINGS UP SINGLE AND RIGHT DOUBLE
0x2559: 0x00d3, # BOX DRAWINGS UP DOUBLE AND RIGHT SINGLE
0x255a: 0x00c8, # BOX DRAWINGS DOUBLE UP AND RIGHT
0x255b: 0x00be, # BOX DRAWINGS UP SINGLE AND LEFT DOUBLE
0x255c: 0x00bd, # BOX DRAWINGS UP DOUBLE AND LEFT SINGLE
0x255d: 0x00bc, # BOX DRAWINGS DOUBLE UP AND LEFT
0x255e: 0x00c6, # BOX DRAWINGS VERTICAL SINGLE AND RIGHT DOUBLE
0x255f: 0x00c7, # BOX DRAWINGS VERTICAL DOUBLE AND RIGHT SINGLE
0x2560: 0x00cc, # BOX DRAWINGS DOUBLE VERTICAL AND RIGHT
0x2561: 0x00b5, # BOX DRAWINGS VERTICAL SINGLE AND LEFT DOUBLE
0x2562: 0x00b6, # BOX DRAWINGS VERTICAL DOUBLE AND LEFT SINGLE
0x2563: 0x00b9, # BOX DRAWINGS DOUBLE VERTICAL AND LEFT
0x2564: 0x00d1, # BOX DRAWINGS DOWN SINGLE AND HORIZONTAL DOUBLE
0x2565: 0x00d2, # BOX DRAWINGS DOWN DOUBLE AND HORIZONTAL SINGLE
0x2566: 0x00cb, # BOX DRAWINGS DOUBLE DOWN AND HORIZONTAL
0x2567: 0x00cf, # BOX DRAWINGS UP SINGLE AND HORIZONTAL DOUBLE
0x2568: 0x00d0, # BOX DRAWINGS UP DOUBLE AND HORIZONTAL SINGLE
0x2569: 0x00ca, # BOX DRAWINGS DOUBLE UP AND HORIZONTAL
0x256a: 0x00d8, # BOX DRAWINGS VERTICAL SINGLE AND HORIZONTAL DOUBLE
0x256b: 0x00d7, # BOX DRAWINGS VERTICAL DOUBLE AND HORIZONTAL SINGLE
0x256c: 0x00ce, # BOX DRAWINGS DOUBLE VERTICAL AND HORIZONTAL
0x2580: 0x00df, # UPPER HALF BLOCK
0x2584: 0x00dc, # LOWER HALF BLOCK
0x2588: 0x00db, # FULL BLOCK
0x258c: 0x00dd, # LEFT HALF BLOCK
0x2590: 0x00de, # RIGHT HALF BLOCK
0x2591: 0x00b0, # LIGHT SHADE
0x2592: 0x00b1, # MEDIUM SHADE
0x2593: 0x00b2, # DARK SHADE
0x25a0: 0x00fe, # BLACK SQUARE
}
| apache-2.0 |
BackupTheBerlios/espressopp | contrib/mpi4py/mpi4py-1.3/test/test_attributes.py | 3 | 8196 | from mpi4py import MPI
import mpiunittest as unittest
from sys import getrefcount as getrc
class BaseTestCommAttr(object):
keyval = MPI.KEYVAL_INVALID
def tearDown(self):
self.comm.Free()
if self.keyval != MPI.KEYVAL_INVALID:
self.keyval = MPI.Comm.Free_keyval(self.keyval)
self.assertEqual(self.keyval, MPI.KEYVAL_INVALID)
def testAttr(self, copy_fn=None, delete_fn=None):
self.keyval = MPI.Comm.Create_keyval(copy_fn, delete_fn)
self.assertNotEqual(self.keyval, MPI.KEYVAL_INVALID)
attrval = [1,2,3]
rc = getrc(attrval)
self.comm.Set_attr(self.keyval, attrval)
self.assertEqual(getrc(attrval), rc+1)
o = self.comm.Get_attr(self.keyval)
self.assertTrue(o is attrval)
self.assertEqual(getrc(attrval), rc+2)
o = None
dupcomm = self.comm.Clone()
if copy_fn is True:
self.assertEqual(getrc(attrval), rc+2)
o = dupcomm.Get_attr(self.keyval)
if copy_fn is True:
self.assertTrue(o is attrval)
self.assertEqual(getrc(attrval), rc+3)
elif not copy_fn:
self.assertTrue(o is None)
self.assertEqual(getrc(attrval), rc+1)
dupcomm.Free()
o = None
self.assertEqual(getrc(attrval), rc+1)
self.comm.Delete_attr(self.keyval)
self.assertEqual(getrc(attrval), rc)
o = self.comm.Get_attr(self.keyval)
self.assertTrue(o is None)
def testAttrCopyFalse(self):
self.testAttr(False)
def testAttrCopyTrue(self):
self.testAttr(True)
def testAttrCopyDelete(self):
self.keyval = MPI.Comm.Create_keyval(
copy_fn=MPI.Comm.Clone,
delete_fn=MPI.Comm.Free)
self.assertNotEqual(self.keyval, MPI.KEYVAL_INVALID)
comm1 = self.comm
dupcomm1 = comm1.Clone()
rc = getrc(dupcomm1)
comm1.Set_attr(self.keyval, dupcomm1)
self.assertTrue(dupcomm1 != MPI.COMM_NULL)
self.assertTrue(getrc(dupcomm1), rc+1)
comm2 = comm1.Clone()
dupcomm2 = comm2.Get_attr(self.keyval)
self.assertTrue(dupcomm1 != dupcomm2)
self.assertTrue(getrc(dupcomm1), rc+1)
self.assertTrue(getrc(dupcomm2), 3)
comm2.Free()
self.assertTrue(dupcomm2 == MPI.COMM_NULL)
self.assertTrue(getrc(dupcomm1), rc+1)
self.assertTrue(getrc(dupcomm2), 2)
self.comm.Delete_attr(self.keyval)
self.assertTrue(dupcomm1 == MPI.COMM_NULL)
self.assertTrue(getrc(dupcomm1), rc)
class TestCommAttrWorld(BaseTestCommAttr, unittest.TestCase):
def setUp(self):
self.comm = MPI.COMM_WORLD.Dup()
class TestCommAttrSelf(BaseTestCommAttr, unittest.TestCase):
def setUp(self):
self.comm = MPI.COMM_SELF.Dup()
class BaseTestDatatypeAttr(object):
keyval = MPI.KEYVAL_INVALID
def tearDown(self):
self.datatype.Free()
if self.keyval != MPI.KEYVAL_INVALID:
self.keyval = MPI.Datatype.Free_keyval(self.keyval)
self.assertEqual(self.keyval, MPI.KEYVAL_INVALID)
def testAttr(self, copy_fn=None, delete_fn=None):
self.keyval = MPI.Datatype.Create_keyval(copy_fn, delete_fn)
self.assertNotEqual(self.keyval, MPI.KEYVAL_INVALID)
attrval = [1,2,3]
rc = getrc(attrval)
self.datatype.Set_attr(self.keyval, attrval)
self.assertEqual(getrc(attrval), rc+1)
o = self.datatype.Get_attr(self.keyval)
self.assertTrue(o is attrval)
self.assertEqual(getrc(attrval), rc+2)
o = None
dupdatatype = self.datatype.Dup()
if copy_fn is True:
self.assertEqual(getrc(attrval), rc+2)
o = dupdatatype.Get_attr(self.keyval)
if copy_fn is True:
self.assertTrue(o is attrval)
self.assertEqual(getrc(attrval), rc+3)
elif not copy_fn:
self.assertTrue(o is None)
self.assertEqual(getrc(attrval), rc+1)
dupdatatype.Free()
o = None
self.assertEqual(getrc(attrval), rc+1)
self.datatype.Delete_attr(self.keyval)
self.assertEqual(getrc(attrval), rc)
o = self.datatype.Get_attr(self.keyval)
self.assertTrue(o is None)
def testAttrCopyFalse(self):
self.testAttr(False)
def testAttrCopyTrue(self):
self.testAttr(True)
def testAttrCopyDelete(self):
self.keyval = MPI.Datatype.Create_keyval(
copy_fn=MPI.Datatype.Dup,
delete_fn=MPI.Datatype.Free)
self.assertNotEqual(self.keyval, MPI.KEYVAL_INVALID)
datatype1 = self.datatype
dupdatatype1 = datatype1.Dup()
rc = getrc(dupdatatype1)
datatype1.Set_attr(self.keyval, dupdatatype1)
self.assertTrue(dupdatatype1 != MPI.DATATYPE_NULL)
self.assertTrue(getrc(dupdatatype1), rc+1)
datatype2 = datatype1.Dup()
dupdatatype2 = datatype2.Get_attr(self.keyval)
self.assertTrue(dupdatatype1 != dupdatatype2)
self.assertTrue(getrc(dupdatatype1), rc+1)
self.assertTrue(getrc(dupdatatype2), 3)
datatype2.Free()
self.assertTrue(dupdatatype2 == MPI.DATATYPE_NULL)
self.assertTrue(getrc(dupdatatype1), rc+1)
self.assertTrue(getrc(dupdatatype2), 2)
self.datatype.Delete_attr(self.keyval)
self.assertTrue(dupdatatype1 == MPI.DATATYPE_NULL)
self.assertTrue(getrc(dupdatatype1), rc)
class TestDatatypeAttrBYTE(BaseTestDatatypeAttr, unittest.TestCase):
def setUp(self):
self.datatype = MPI.BYTE.Dup()
class TestDatatypeAttrINT(BaseTestDatatypeAttr, unittest.TestCase):
def setUp(self):
self.datatype = MPI.INT.Dup()
class TestDatatypeAttrFLOAT(BaseTestDatatypeAttr, unittest.TestCase):
def setUp(self):
self.datatype = MPI.FLOAT.Dup()
class TestWinAttr(unittest.TestCase):
keyval = MPI.KEYVAL_INVALID
def setUp(self):
self.win = MPI.Win.Create(MPI.BOTTOM, 1,
MPI.INFO_NULL, MPI.COMM_SELF)
def tearDown(self):
self.win.Free()
if self.keyval != MPI.KEYVAL_INVALID:
self.keyval = MPI.Win.Free_keyval(self.keyval)
self.assertEqual(self.keyval, MPI.KEYVAL_INVALID)
def testAttr(self, copy_fn=None, delete_fn=None):
self.keyval = MPI.Win.Create_keyval(copy_fn, delete_fn)
self.assertNotEqual(self.keyval, MPI.KEYVAL_INVALID)
attrval = [1,2,3]
rc = getrc(attrval)
self.win.Set_attr(self.keyval, attrval)
self.assertEqual(getrc(attrval), rc+1)
o = self.win.Get_attr(self.keyval)
self.assertTrue(o is attrval)
self.assertEqual(getrc(attrval), rc+2)
o = None
self.assertEqual(getrc(attrval), rc+1)
self.win.Delete_attr(self.keyval)
self.assertEqual(getrc(attrval), rc)
o = self.win.Get_attr(self.keyval)
self.assertTrue(o is None)
def testAttrCopyDelete(self):
self.keyval = MPI.Win.Create_keyval(delete_fn=MPI.Win.Free)
self.assertNotEqual(self.keyval, MPI.KEYVAL_INVALID)
newwin = MPI.Win.Create(MPI.BOTTOM, 1,
MPI.INFO_NULL, MPI.COMM_SELF)
rc = getrc(newwin)
#
self.win.Set_attr(self.keyval, newwin)
self.assertTrue(newwin != MPI.WIN_NULL)
self.assertTrue(getrc(newwin), rc+1)
#
self.win.Delete_attr(self.keyval)
self.assertTrue(newwin == MPI.WIN_NULL)
self.assertTrue(getrc(newwin), rc)
try:
k = MPI.Datatype.Create_keyval()
k = MPI.Datatype.Free_keyval(k)
except NotImplementedError:
del TestDatatypeAttrBYTE
del TestDatatypeAttrINT
del TestDatatypeAttrFLOAT
try:
k = MPI.Win.Create_keyval()
k = MPI.Win.Free_keyval(k)
except NotImplementedError:
del TestWinAttr
_name, _version = MPI.get_vendor()
if (_name == 'Open MPI' and
_version <= (1, 5, 1)):
if MPI.Query_thread() > MPI.THREAD_SINGLE:
del BaseTestCommAttr.testAttrCopyDelete
del TestWinAttr.testAttrCopyDelete
if __name__ == '__main__':
unittest.main()
| gpl-3.0 |
Simran-B/arangodb | 3rdParty/V8-4.3.61/third_party/python_26/Lib/numbers.py | 59 | 10271 | # Copyright 2007 Google, Inc. All Rights Reserved.
# Licensed to PSF under a Contributor Agreement.
"""Abstract Base Classes (ABCs) for numbers, according to PEP 3141.
TODO: Fill out more detailed documentation on the operators."""
from __future__ import division
from abc import ABCMeta, abstractmethod, abstractproperty
__all__ = ["Number", "Complex", "Real", "Rational", "Integral"]
class Number(object):
"""All numbers inherit from this class.
If you just want to check if an argument x is a number, without
caring what kind, use isinstance(x, Number).
"""
__metaclass__ = ABCMeta
__slots__ = ()
# Concrete numeric types must provide their own hash implementation
__hash__ = None
## Notes on Decimal
## ----------------
## Decimal has all of the methods specified by the Real abc, but it should
## not be registered as a Real because decimals do not interoperate with
## binary floats (i.e. Decimal('3.14') + 2.71828 is undefined). But,
## abstract reals are expected to interoperate (i.e. R1 + R2 should be
## expected to work if R1 and R2 are both Reals).
class Complex(Number):
"""Complex defines the operations that work on the builtin complex type.
In short, those are: a conversion to complex, .real, .imag, +, -,
*, /, abs(), .conjugate, ==, and !=.
If it is given heterogenous arguments, and doesn't have special
knowledge about them, it should fall back to the builtin complex
type as described below.
"""
__slots__ = ()
@abstractmethod
def __complex__(self):
"""Return a builtin complex instance. Called for complex(self)."""
# Will be __bool__ in 3.0.
def __nonzero__(self):
"""True if self != 0. Called for bool(self)."""
return self != 0
@abstractproperty
def real(self):
"""Retrieve the real component of this number.
This should subclass Real.
"""
raise NotImplementedError
@abstractproperty
def imag(self):
"""Retrieve the real component of this number.
This should subclass Real.
"""
raise NotImplementedError
@abstractmethod
def __add__(self, other):
"""self + other"""
raise NotImplementedError
@abstractmethod
def __radd__(self, other):
"""other + self"""
raise NotImplementedError
@abstractmethod
def __neg__(self):
"""-self"""
raise NotImplementedError
@abstractmethod
def __pos__(self):
"""+self"""
raise NotImplementedError
def __sub__(self, other):
"""self - other"""
return self + -other
def __rsub__(self, other):
"""other - self"""
return -self + other
@abstractmethod
def __mul__(self, other):
"""self * other"""
raise NotImplementedError
@abstractmethod
def __rmul__(self, other):
"""other * self"""
raise NotImplementedError
@abstractmethod
def __div__(self, other):
"""self / other without __future__ division
May promote to float.
"""
raise NotImplementedError
@abstractmethod
def __rdiv__(self, other):
"""other / self without __future__ division"""
raise NotImplementedError
@abstractmethod
def __truediv__(self, other):
"""self / other with __future__ division.
Should promote to float when necessary.
"""
raise NotImplementedError
@abstractmethod
def __rtruediv__(self, other):
"""other / self with __future__ division"""
raise NotImplementedError
@abstractmethod
def __pow__(self, exponent):
"""self**exponent; should promote to float or complex when necessary."""
raise NotImplementedError
@abstractmethod
def __rpow__(self, base):
"""base ** self"""
raise NotImplementedError
@abstractmethod
def __abs__(self):
"""Returns the Real distance from 0. Called for abs(self)."""
raise NotImplementedError
@abstractmethod
def conjugate(self):
"""(x+y*i).conjugate() returns (x-y*i)."""
raise NotImplementedError
@abstractmethod
def __eq__(self, other):
"""self == other"""
raise NotImplementedError
def __ne__(self, other):
"""self != other"""
# The default __ne__ doesn't negate __eq__ until 3.0.
return not (self == other)
Complex.register(complex)
class Real(Complex):
"""To Complex, Real adds the operations that work on real numbers.
In short, those are: a conversion to float, trunc(), divmod,
%, <, <=, >, and >=.
Real also provides defaults for the derived operations.
"""
__slots__ = ()
@abstractmethod
def __float__(self):
"""Any Real can be converted to a native float object.
Called for float(self)."""
raise NotImplementedError
@abstractmethod
def __trunc__(self):
"""trunc(self): Truncates self to an Integral.
Returns an Integral i such that:
* i>0 iff self>0;
* abs(i) <= abs(self);
* for any Integral j satisfying the first two conditions,
abs(i) >= abs(j) [i.e. i has "maximal" abs among those].
i.e. "truncate towards 0".
"""
raise NotImplementedError
def __divmod__(self, other):
"""divmod(self, other): The pair (self // other, self % other).
Sometimes this can be computed faster than the pair of
operations.
"""
return (self // other, self % other)
def __rdivmod__(self, other):
"""divmod(other, self): The pair (self // other, self % other).
Sometimes this can be computed faster than the pair of
operations.
"""
return (other // self, other % self)
@abstractmethod
def __floordiv__(self, other):
"""self // other: The floor() of self/other."""
raise NotImplementedError
@abstractmethod
def __rfloordiv__(self, other):
"""other // self: The floor() of other/self."""
raise NotImplementedError
@abstractmethod
def __mod__(self, other):
"""self % other"""
raise NotImplementedError
@abstractmethod
def __rmod__(self, other):
"""other % self"""
raise NotImplementedError
@abstractmethod
def __lt__(self, other):
"""self < other
< on Reals defines a total ordering, except perhaps for NaN."""
raise NotImplementedError
@abstractmethod
def __le__(self, other):
"""self <= other"""
raise NotImplementedError
# Concrete implementations of Complex abstract methods.
def __complex__(self):
"""complex(self) == complex(float(self), 0)"""
return complex(float(self))
@property
def real(self):
"""Real numbers are their real component."""
return +self
@property
def imag(self):
"""Real numbers have no imaginary component."""
return 0
def conjugate(self):
"""Conjugate is a no-op for Reals."""
return +self
Real.register(float)
class Rational(Real):
""".numerator and .denominator should be in lowest terms."""
__slots__ = ()
@abstractproperty
def numerator(self):
raise NotImplementedError
@abstractproperty
def denominator(self):
raise NotImplementedError
# Concrete implementation of Real's conversion to float.
def __float__(self):
"""float(self) = self.numerator / self.denominator
It's important that this conversion use the integer's "true"
division rather than casting one side to float before dividing
so that ratios of huge integers convert without overflowing.
"""
return self.numerator / self.denominator
class Integral(Rational):
"""Integral adds a conversion to long and the bit-string operations."""
__slots__ = ()
@abstractmethod
def __long__(self):
"""long(self)"""
raise NotImplementedError
def __index__(self):
"""index(self)"""
return long(self)
@abstractmethod
def __pow__(self, exponent, modulus=None):
"""self ** exponent % modulus, but maybe faster.
Accept the modulus argument if you want to support the
3-argument version of pow(). Raise a TypeError if exponent < 0
or any argument isn't Integral. Otherwise, just implement the
2-argument version described in Complex.
"""
raise NotImplementedError
@abstractmethod
def __lshift__(self, other):
"""self << other"""
raise NotImplementedError
@abstractmethod
def __rlshift__(self, other):
"""other << self"""
raise NotImplementedError
@abstractmethod
def __rshift__(self, other):
"""self >> other"""
raise NotImplementedError
@abstractmethod
def __rrshift__(self, other):
"""other >> self"""
raise NotImplementedError
@abstractmethod
def __and__(self, other):
"""self & other"""
raise NotImplementedError
@abstractmethod
def __rand__(self, other):
"""other & self"""
raise NotImplementedError
@abstractmethod
def __xor__(self, other):
"""self ^ other"""
raise NotImplementedError
@abstractmethod
def __rxor__(self, other):
"""other ^ self"""
raise NotImplementedError
@abstractmethod
def __or__(self, other):
"""self | other"""
raise NotImplementedError
@abstractmethod
def __ror__(self, other):
"""other | self"""
raise NotImplementedError
@abstractmethod
def __invert__(self):
"""~self"""
raise NotImplementedError
# Concrete implementations of Rational and Real abstract methods.
def __float__(self):
"""float(self) == float(long(self))"""
return float(long(self))
@property
def numerator(self):
"""Integers are their own numerators."""
return +self
@property
def denominator(self):
"""Integers have a denominator of 1."""
return 1
Integral.register(int)
Integral.register(long)
| apache-2.0 |
mgracer48/panda3d | direct/src/distributed/MsgTypes.py | 5 | 5594 | """MsgTypes module: contains distributed object message types"""
from direct.showbase.PythonUtil import invertDictLossless
MsgName2Id = {
# 2 new params: passwd, char bool 0/1 1 = new account
# 2 new return values: 129 = not found, 12 = bad passwd,
'CLIENT_LOGIN': 1,
'CLIENT_LOGIN_RESP': 2,
'CLIENT_GET_AVATARS': 3,
# Sent by the server when it is dropping the connection deliberately.
'CLIENT_GO_GET_LOST': 4,
'CLIENT_GET_AVATARS_RESP': 5,
'CLIENT_CREATE_AVATAR': 6,
'CLIENT_CREATE_AVATAR_RESP': 7,
'CLIENT_GET_FRIEND_LIST': 10,
'CLIENT_GET_FRIEND_LIST_RESP': 11,
'CLIENT_GET_AVATAR_DETAILS': 14,
'CLIENT_GET_AVATAR_DETAILS_RESP': 15,
'CLIENT_LOGIN_2': 16,
'CLIENT_LOGIN_2_RESP': 17,
'CLIENT_OBJECT_UPDATE_FIELD': 24,
'CLIENT_OBJECT_UPDATE_FIELD_RESP': 24,
'CLIENT_OBJECT_DISABLE': 25,
'CLIENT_OBJECT_DISABLE_RESP': 25,
'CLIENT_OBJECT_DISABLE_OWNER': 26,
'CLIENT_OBJECT_DISABLE_OWNER_RESP': 26,
'CLIENT_OBJECT_DELETE': 27,
'CLIENT_OBJECT_DELETE_RESP': 27,
'CLIENT_SET_ZONE_CMU': 29,
'CLIENT_REMOVE_ZONE': 30,
'CLIENT_SET_AVATAR': 32,
'CLIENT_CREATE_OBJECT_REQUIRED': 34,
'CLIENT_CREATE_OBJECT_REQUIRED_RESP': 34,
'CLIENT_CREATE_OBJECT_REQUIRED_OTHER': 35,
'CLIENT_CREATE_OBJECT_REQUIRED_OTHER_RESP': 35,
'CLIENT_CREATE_OBJECT_REQUIRED_OTHER_OWNER': 36,
'CLIENT_CREATE_OBJECT_REQUIRED_OTHER_OWNER_RESP':36,
'CLIENT_REQUEST_GENERATES': 36,
'CLIENT_DISCONNECT': 37,
'CLIENT_GET_STATE_RESP': 47,
'CLIENT_DONE_INTEREST_RESP': 48,
'CLIENT_DELETE_AVATAR': 49,
'CLIENT_DELETE_AVATAR_RESP': 5,
'CLIENT_HEARTBEAT': 52,
'CLIENT_FRIEND_ONLINE': 53,
'CLIENT_FRIEND_OFFLINE': 54,
'CLIENT_REMOVE_FRIEND': 56,
'CLIENT_CHANGE_PASSWORD': 65,
'CLIENT_SET_NAME_PATTERN': 67,
'CLIENT_SET_NAME_PATTERN_ANSWER': 68,
'CLIENT_SET_WISHNAME': 70,
'CLIENT_SET_WISHNAME_RESP': 71,
'CLIENT_SET_WISHNAME_CLEAR': 72,
'CLIENT_SET_SECURITY': 73,
'CLIENT_SET_DOID_RANGE': 74,
'CLIENT_GET_AVATARS_RESP2': 75,
'CLIENT_CREATE_AVATAR2': 76,
'CLIENT_SYSTEM_MESSAGE': 78,
'CLIENT_SET_AVTYPE': 80,
'CLIENT_GET_PET_DETAILS': 81,
'CLIENT_GET_PET_DETAILS_RESP': 82,
'CLIENT_ADD_INTEREST': 97,
'CLIENT_REMOVE_INTEREST': 99,
'CLIENT_OBJECT_LOCATION': 102,
'CLIENT_LOGIN_3': 111,
'CLIENT_LOGIN_3_RESP': 110,
'CLIENT_GET_FRIEND_LIST_EXTENDED': 115,
'CLIENT_GET_FRIEND_LIST_EXTENDED_RESP': 116,
'CLIENT_SET_FIELD_SENDABLE': 120,
'CLIENT_SYSTEMMESSAGE_AKNOWLEDGE': 123,
'CLIENT_CHANGE_GENERATE_ORDER': 124,
# new toontown specific login message, adds last logged in, and if child account has parent acount
'CLIENT_LOGIN_TOONTOWN': 125,
'CLIENT_LOGIN_TOONTOWN_RESP': 126,
'STATESERVER_OBJECT_GENERATE_WITH_REQUIRED': 2001,
'STATESERVER_OBJECT_GENERATE_WITH_REQUIRED_OTHER': 2003,
'STATESERVER_OBJECT_UPDATE_FIELD': 2004,
'STATESERVER_OBJECT_CREATE_WITH_REQUIRED_CONTEXT': 2050,
'STATESERVER_OBJECT_CREATE_WITH_REQUIR_OTHER_CONTEXT': 2051,
'STATESERVER_BOUNCE_MESSAGE': 2086,
}
# create id->name table for debugging
MsgId2Names = invertDictLossless(MsgName2Id)
# put msg names in module scope, assigned to msg value
globals().update(MsgName2Id)
# These messages are ignored when the client is headed to the quiet zone
QUIET_ZONE_IGNORED_LIST = [
# We mustn't ignore updates, because some updates for localToon
# are always important.
#CLIENT_OBJECT_UPDATE_FIELD,
# These are now handled. If it is a create for a class that is in the
# uber zone, we should create it.
#CLIENT_CREATE_OBJECT_REQUIRED,
#CLIENT_CREATE_OBJECT_REQUIRED_OTHER,
]
# The following is a different set of numbers from above.
# These are the sub-message types for CLIENT_LOGIN_2.
CLIENT_LOGIN_2_GREEN = 1 # Disney's GoReg subscription token, not used.
CLIENT_LOGIN_2_PLAY_TOKEN = 2 # VR Studio PlayToken.
CLIENT_LOGIN_2_BLUE = 3 # The international GoReg token.
CLIENT_LOGIN_3_DISL_TOKEN = 4 # SSL encoded blob from DISL system.
| bsd-3-clause |
Bulochkin/tensorflow_pack | tensorflow/python/kernel_tests/distributions/multinomial_test.py | 48 | 13141 | # 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.
# ==============================================================================
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import tensor_shape
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.ops.distributions import multinomial
from tensorflow.python.platform import test
class MultinomialTest(test.TestCase):
def setUp(self):
self._rng = np.random.RandomState(42)
def testSimpleShapes(self):
with self.test_session():
p = [.1, .3, .6]
dist = multinomial.Multinomial(total_count=1., probs=p)
self.assertEqual(3, dist.event_shape_tensor().eval())
self.assertAllEqual([], dist.batch_shape_tensor().eval())
self.assertEqual(tensor_shape.TensorShape([3]), dist.event_shape)
self.assertEqual(tensor_shape.TensorShape([]), dist.batch_shape)
def testComplexShapes(self):
with self.test_session():
p = 0.5 * np.ones([3, 2, 2], dtype=np.float32)
n = [[3., 2], [4, 5], [6, 7]]
dist = multinomial.Multinomial(total_count=n, probs=p)
self.assertEqual(2, dist.event_shape_tensor().eval())
self.assertAllEqual([3, 2], dist.batch_shape_tensor().eval())
self.assertEqual(tensor_shape.TensorShape([2]), dist.event_shape)
self.assertEqual(tensor_shape.TensorShape([3, 2]), dist.batch_shape)
def testN(self):
p = [[0.1, 0.2, 0.7], [0.2, 0.3, 0.5]]
n = [[3.], [4]]
with self.test_session():
dist = multinomial.Multinomial(total_count=n, probs=p)
self.assertEqual((2, 1), dist.total_count.get_shape())
self.assertAllClose(n, dist.total_count.eval())
def testP(self):
p = [[0.1, 0.2, 0.7]]
with self.test_session():
dist = multinomial.Multinomial(total_count=3., probs=p)
self.assertEqual((1, 3), dist.probs.get_shape())
self.assertEqual((1, 3), dist.logits.get_shape())
self.assertAllClose(p, dist.probs.eval())
def testLogits(self):
p = np.array([[0.1, 0.2, 0.7]], dtype=np.float32)
logits = np.log(p) - 50.
with self.test_session():
multinom = multinomial.Multinomial(total_count=3., logits=logits)
self.assertEqual((1, 3), multinom.probs.get_shape())
self.assertEqual((1, 3), multinom.logits.get_shape())
self.assertAllClose(p, multinom.probs.eval())
self.assertAllClose(logits, multinom.logits.eval())
def testPmfandCountsAgree(self):
p = [[0.1, 0.2, 0.7]]
n = [[5.]]
with self.test_session():
dist = multinomial.Multinomial(total_count=n, probs=p, validate_args=True)
dist.prob([2., 3, 0]).eval()
dist.prob([3., 0, 2]).eval()
with self.assertRaisesOpError("must be non-negative"):
dist.prob([-1., 4, 2]).eval()
with self.assertRaisesOpError("counts must sum to `self.total_count`"):
dist.prob([3., 3, 0]).eval()
def testPmfNonIntegerCounts(self):
p = [[0.1, 0.2, 0.7]]
n = [[5.]]
with self.test_session():
# No errors with integer n.
multinom = multinomial.Multinomial(
total_count=n, probs=p, validate_args=True)
multinom.prob([2., 1, 2]).eval()
multinom.prob([3., 0, 2]).eval()
# Counts don't sum to n.
with self.assertRaisesOpError("counts must sum to `self.total_count`"):
multinom.prob([2., 3, 2]).eval()
# Counts are non-integers.
x = array_ops.placeholder(dtypes.float32)
with self.assertRaisesOpError(
"cannot contain fractional components."):
multinom.prob(x).eval(feed_dict={x: [1.0, 2.5, 1.5]})
multinom = multinomial.Multinomial(
total_count=n, probs=p, validate_args=False)
multinom.prob([1., 2., 2.]).eval()
# Non-integer arguments work.
multinom.prob([1.0, 2.5, 1.5]).eval()
def testPmfBothZeroBatches(self):
with self.test_session():
# Both zero-batches. No broadcast
p = [0.5, 0.5]
counts = [1., 0]
pmf = multinomial.Multinomial(total_count=1., probs=p).prob(counts)
self.assertAllClose(0.5, pmf.eval())
self.assertEqual((), pmf.get_shape())
def testPmfBothZeroBatchesNontrivialN(self):
with self.test_session():
# Both zero-batches. No broadcast
p = [0.1, 0.9]
counts = [3., 2]
dist = multinomial.Multinomial(total_count=5., probs=p)
pmf = dist.prob(counts)
# 5 choose 3 = 5 choose 2 = 10. 10 * (.9)^2 * (.1)^3 = 81/10000.
self.assertAllClose(81. / 10000, pmf.eval())
self.assertEqual((), pmf.get_shape())
def testPmfPStretchedInBroadcastWhenSameRank(self):
with self.test_session():
p = [[0.1, 0.9]]
counts = [[1., 0], [0, 1]]
pmf = multinomial.Multinomial(total_count=1., probs=p).prob(counts)
self.assertAllClose([0.1, 0.9], pmf.eval())
self.assertEqual((2), pmf.get_shape())
def testPmfPStretchedInBroadcastWhenLowerRank(self):
with self.test_session():
p = [0.1, 0.9]
counts = [[1., 0], [0, 1]]
pmf = multinomial.Multinomial(total_count=1., probs=p).prob(counts)
self.assertAllClose([0.1, 0.9], pmf.eval())
self.assertEqual((2), pmf.get_shape())
def testPmfCountsStretchedInBroadcastWhenSameRank(self):
with self.test_session():
p = [[0.1, 0.9], [0.7, 0.3]]
counts = [[1., 0]]
pmf = multinomial.Multinomial(total_count=1., probs=p).prob(counts)
self.assertAllClose(pmf.eval(), [0.1, 0.7])
self.assertEqual((2), pmf.get_shape())
def testPmfCountsStretchedInBroadcastWhenLowerRank(self):
with self.test_session():
p = [[0.1, 0.9], [0.7, 0.3]]
counts = [1., 0]
pmf = multinomial.Multinomial(total_count=1., probs=p).prob(counts)
self.assertAllClose(pmf.eval(), [0.1, 0.7])
self.assertEqual(pmf.get_shape(), (2))
def testPmfShapeCountsStretchedN(self):
with self.test_session():
# [2, 2, 2]
p = [[[0.1, 0.9], [0.1, 0.9]], [[0.7, 0.3], [0.7, 0.3]]]
# [2, 2]
n = [[3., 3], [3, 3]]
# [2]
counts = [2., 1]
pmf = multinomial.Multinomial(total_count=n, probs=p).prob(counts)
pmf.eval()
self.assertEqual(pmf.get_shape(), (2, 2))
def testPmfShapeCountsPStretchedN(self):
with self.test_session():
p = [0.1, 0.9]
counts = [3., 2]
n = np.full([4, 3], 5., dtype=np.float32)
pmf = multinomial.Multinomial(total_count=n, probs=p).prob(counts)
pmf.eval()
self.assertEqual((4, 3), pmf.get_shape())
def testMultinomialMean(self):
with self.test_session():
n = 5.
p = [0.1, 0.2, 0.7]
dist = multinomial.Multinomial(total_count=n, probs=p)
expected_means = 5 * np.array(p, dtype=np.float32)
self.assertEqual((3,), dist.mean().get_shape())
self.assertAllClose(expected_means, dist.mean().eval())
def testMultinomialCovariance(self):
with self.test_session():
n = 5.
p = [0.1, 0.2, 0.7]
dist = multinomial.Multinomial(total_count=n, probs=p)
expected_covariances = [[9. / 20, -1 / 10, -7 / 20],
[-1 / 10, 4 / 5, -7 / 10],
[-7 / 20, -7 / 10, 21 / 20]]
self.assertEqual((3, 3), dist.covariance().get_shape())
self.assertAllClose(expected_covariances, dist.covariance().eval())
def testMultinomialCovarianceBatch(self):
with self.test_session():
# Shape [2]
n = [5.] * 2
# Shape [4, 1, 2]
p = [[[0.1, 0.9]], [[0.1, 0.9]]] * 2
dist = multinomial.Multinomial(total_count=n, probs=p)
# Shape [2, 2]
inner_var = [[9. / 20, -9 / 20], [-9 / 20, 9 / 20]]
# Shape [4, 2, 2, 2]
expected_covariances = [[inner_var, inner_var]] * 4
self.assertEqual((4, 2, 2, 2), dist.covariance().get_shape())
self.assertAllClose(expected_covariances, dist.covariance().eval())
def testCovarianceMultidimensional(self):
# Shape [3, 5, 4]
p = np.random.dirichlet([.25, .25, .25, .25], [3, 5]).astype(np.float32)
# Shape [6, 3, 3]
p2 = np.random.dirichlet([.3, .3, .4], [6, 3]).astype(np.float32)
ns = np.random.randint(low=1, high=11, size=[3, 5]).astype(np.float32)
ns2 = np.random.randint(low=1, high=11, size=[6, 1]).astype(np.float32)
with self.test_session():
dist = multinomial.Multinomial(ns, p)
dist2 = multinomial.Multinomial(ns2, p2)
covariance = dist.covariance()
covariance2 = dist2.covariance()
self.assertEqual((3, 5, 4, 4), covariance.get_shape())
self.assertEqual((6, 3, 3, 3), covariance2.get_shape())
def testCovarianceFromSampling(self):
# We will test mean, cov, var, stddev on a DirichletMultinomial constructed
# via broadcast between alpha, n.
theta = np.array([[1., 2, 3],
[2.5, 4, 0.01]], dtype=np.float32)
theta /= np.sum(theta, 1)[..., array_ops.newaxis]
# Ideally we'd be able to test broadcasting but, the multinomial sampler
# doesn't support different total counts.
n = np.float32(5)
with self.test_session() as sess:
# batch_shape=[2], event_shape=[3]
dist = multinomial.Multinomial(n, theta)
x = dist.sample(int(250e3), seed=1)
sample_mean = math_ops.reduce_mean(x, 0)
x_centered = x - sample_mean[array_ops.newaxis, ...]
sample_cov = math_ops.reduce_mean(math_ops.matmul(
x_centered[..., array_ops.newaxis],
x_centered[..., array_ops.newaxis, :]), 0)
sample_var = array_ops.matrix_diag_part(sample_cov)
sample_stddev = math_ops.sqrt(sample_var)
[
sample_mean_,
sample_cov_,
sample_var_,
sample_stddev_,
analytic_mean,
analytic_cov,
analytic_var,
analytic_stddev,
] = sess.run([
sample_mean,
sample_cov,
sample_var,
sample_stddev,
dist.mean(),
dist.covariance(),
dist.variance(),
dist.stddev(),
])
self.assertAllClose(sample_mean_, analytic_mean, atol=0., rtol=0.01)
self.assertAllClose(sample_cov_, analytic_cov, atol=0., rtol=0.01)
self.assertAllClose(sample_var_, analytic_var, atol=0., rtol=0.01)
self.assertAllClose(sample_stddev_, analytic_stddev, atol=0., rtol=0.01)
def testSampleUnbiasedNonScalarBatch(self):
with self.test_session() as sess:
dist = multinomial.Multinomial(
total_count=5.,
logits=math_ops.log(2. * self._rng.rand(4, 3, 2).astype(np.float32)))
n = int(3e3)
x = dist.sample(n, seed=0)
sample_mean = math_ops.reduce_mean(x, 0)
# Cyclically rotate event dims left.
x_centered = array_ops.transpose(x - sample_mean, [1, 2, 3, 0])
sample_covariance = math_ops.matmul(
x_centered, x_centered, adjoint_b=True) / n
[
sample_mean_,
sample_covariance_,
actual_mean_,
actual_covariance_,
] = sess.run([
sample_mean,
sample_covariance,
dist.mean(),
dist.covariance(),
])
self.assertAllEqual([4, 3, 2], sample_mean.get_shape())
self.assertAllClose(actual_mean_, sample_mean_, atol=0., rtol=0.07)
self.assertAllEqual([4, 3, 2, 2], sample_covariance.get_shape())
self.assertAllClose(
actual_covariance_, sample_covariance_, atol=0., rtol=0.10)
def testSampleUnbiasedScalarBatch(self):
with self.test_session() as sess:
dist = multinomial.Multinomial(
total_count=5.,
logits=math_ops.log(2. * self._rng.rand(4).astype(np.float32)))
n = int(5e3)
x = dist.sample(n, seed=0)
sample_mean = math_ops.reduce_mean(x, 0)
x_centered = x - sample_mean # Already transposed to [n, 2].
sample_covariance = math_ops.matmul(
x_centered, x_centered, adjoint_a=True) / n
[
sample_mean_,
sample_covariance_,
actual_mean_,
actual_covariance_,
] = sess.run([
sample_mean,
sample_covariance,
dist.mean(),
dist.covariance(),
])
self.assertAllEqual([4], sample_mean.get_shape())
self.assertAllClose(actual_mean_, sample_mean_, atol=0., rtol=0.07)
self.assertAllEqual([4, 4], sample_covariance.get_shape())
self.assertAllClose(
actual_covariance_, sample_covariance_, atol=0., rtol=0.10)
if __name__ == "__main__":
test.main()
| apache-2.0 |
sebmarchand/syzygy | third_party/numpy/files/numpy/distutils/fcompiler/gnu.py | 85 | 14383 | import re
import os
import sys
import warnings
import platform
import tempfile
from subprocess import Popen, PIPE, STDOUT
from numpy.distutils.cpuinfo import cpu
from numpy.distutils.fcompiler import FCompiler
from numpy.distutils.exec_command import exec_command
from numpy.distutils.misc_util import msvc_runtime_library
from numpy.distutils.compat import get_exception
compilers = ['GnuFCompiler', 'Gnu95FCompiler']
TARGET_R = re.compile("Target: ([a-zA-Z0-9_\-]*)")
# XXX: handle cross compilation
def is_win64():
return sys.platform == "win32" and platform.architecture()[0] == "64bit"
if is_win64():
#_EXTRAFLAGS = ["-fno-leading-underscore"]
_EXTRAFLAGS = []
else:
_EXTRAFLAGS = []
class GnuFCompiler(FCompiler):
compiler_type = 'gnu'
compiler_aliases = ('g77',)
description = 'GNU Fortran 77 compiler'
def gnu_version_match(self, version_string):
"""Handle the different versions of GNU fortran compilers"""
m = re.match(r'GNU Fortran', version_string)
if not m:
return None
m = re.match(r'GNU Fortran\s+95.*?([0-9-.]+)', version_string)
if m:
return ('gfortran', m.group(1))
m = re.match(r'GNU Fortran.*?([0-9-.]+)', version_string)
if m:
v = m.group(1)
if v.startswith('0') or v.startswith('2') or v.startswith('3'):
# the '0' is for early g77's
return ('g77', v)
else:
# at some point in the 4.x series, the ' 95' was dropped
# from the version string
return ('gfortran', v)
def version_match(self, version_string):
v = self.gnu_version_match(version_string)
if not v or v[0] != 'g77':
return None
return v[1]
# 'g77 --version' results
# SunOS: GNU Fortran (GCC 3.2) 3.2 20020814 (release)
# Debian: GNU Fortran (GCC) 3.3.3 20040110 (prerelease) (Debian)
# GNU Fortran (GCC) 3.3.3 (Debian 20040401)
# GNU Fortran 0.5.25 20010319 (prerelease)
# Redhat: GNU Fortran (GCC 3.2.2 20030222 (Red Hat Linux 3.2.2-5)) 3.2.2 20030222 (Red Hat Linux 3.2.2-5)
# GNU Fortran (GCC) 3.4.2 (mingw-special)
possible_executables = ['g77', 'f77']
executables = {
'version_cmd' : [None, "--version"],
'compiler_f77' : [None, "-g", "-Wall", "-fno-second-underscore"],
'compiler_f90' : None, # Use --fcompiler=gnu95 for f90 codes
'compiler_fix' : None,
'linker_so' : [None, "-g", "-Wall"],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"],
'linker_exe' : [None, "-g", "-Wall"]
}
module_dir_switch = None
module_include_switch = None
# Cygwin: f771: warning: -fPIC ignored for target (all code is
# position independent)
if os.name != 'nt' and sys.platform != 'cygwin':
pic_flags = ['-fPIC']
# use -mno-cygwin for g77 when Python is not Cygwin-Python
if sys.platform == 'win32':
for key in ['version_cmd', 'compiler_f77', 'linker_so', 'linker_exe']:
executables[key].append('-mno-cygwin')
g2c = 'g2c'
suggested_f90_compiler = 'gnu95'
#def get_linker_so(self):
# # win32 linking should be handled by standard linker
# # Darwin g77 cannot be used as a linker.
# #if re.match(r'(darwin)', sys.platform):
# # return
# return FCompiler.get_linker_so(self)
def get_flags_linker_so(self):
opt = self.linker_so[1:]
if sys.platform=='darwin':
target = os.environ.get('MACOSX_DEPLOYMENT_TARGET', None)
# If MACOSX_DEPLOYMENT_TARGET is set, we simply trust the value
# and leave it alone. But, distutils will complain if the
# environment's value is different from the one in the Python
# Makefile used to build Python. We let disutils handle this
# error checking.
if not target:
# If MACOSX_DEPLOYMENT_TARGET is not set in the environment,
# we try to get it first from the Python Makefile and then we
# fall back to setting it to 10.3 to maximize the set of
# versions we can work with. This is a reasonable default
# even when using the official Python dist and those derived
# from it.
import distutils.sysconfig as sc
g = {}
filename = sc.get_makefile_filename()
sc.parse_makefile(filename, g)
target = g.get('MACOSX_DEPLOYMENT_TARGET', '10.3')
os.environ['MACOSX_DEPLOYMENT_TARGET'] = target
if target == '10.3':
s = 'Env. variable MACOSX_DEPLOYMENT_TARGET set to 10.3'
warnings.warn(s)
opt.extend(['-undefined', 'dynamic_lookup', '-bundle'])
else:
opt.append("-shared")
if sys.platform.startswith('sunos'):
# SunOS often has dynamically loaded symbols defined in the
# static library libg2c.a The linker doesn't like this. To
# ignore the problem, use the -mimpure-text flag. It isn't
# the safest thing, but seems to work. 'man gcc' says:
# ".. Instead of using -mimpure-text, you should compile all
# source code with -fpic or -fPIC."
opt.append('-mimpure-text')
return opt
def get_libgcc_dir(self):
status, output = exec_command(self.compiler_f77 +
['-print-libgcc-file-name'],
use_tee=0)
if not status:
return os.path.dirname(output)
return None
def get_library_dirs(self):
opt = []
if sys.platform[:5] != 'linux':
d = self.get_libgcc_dir()
if d:
# if windows and not cygwin, libg2c lies in a different folder
if sys.platform == 'win32' and not d.startswith('/usr/lib'):
d = os.path.normpath(d)
if not os.path.exists(os.path.join(d, "lib%s.a" % self.g2c)):
d2 = os.path.abspath(os.path.join(d,
'../../../../lib'))
if os.path.exists(os.path.join(d2, "lib%s.a" % self.g2c)):
opt.append(d2)
opt.append(d)
return opt
def get_libraries(self):
opt = []
d = self.get_libgcc_dir()
if d is not None:
g2c = self.g2c + '-pic'
f = self.static_lib_format % (g2c, self.static_lib_extension)
if not os.path.isfile(os.path.join(d,f)):
g2c = self.g2c
else:
g2c = self.g2c
if g2c is not None:
opt.append(g2c)
c_compiler = self.c_compiler
if sys.platform == 'win32' and c_compiler and \
c_compiler.compiler_type=='msvc':
# the following code is not needed (read: breaks) when using MinGW
# in case want to link F77 compiled code with MSVC
opt.append('gcc')
runtime_lib = msvc_runtime_library()
if runtime_lib:
opt.append(runtime_lib)
if sys.platform == 'darwin':
opt.append('cc_dynamic')
return opt
def get_flags_debug(self):
return ['-g']
def get_flags_opt(self):
v = self.get_version()
if v and v<='3.3.3':
# With this compiler version building Fortran BLAS/LAPACK
# with -O3 caused failures in lib.lapack heevr,syevr tests.
opt = ['-O2']
else:
opt = ['-O3']
opt.append('-funroll-loops')
return opt
def _c_arch_flags(self):
""" Return detected arch flags from CFLAGS """
from distutils import sysconfig
try:
cflags = sysconfig.get_config_vars()['CFLAGS']
except KeyError:
return []
arch_re = re.compile(r"-arch\s+(\w+)")
arch_flags = []
for arch in arch_re.findall(cflags):
arch_flags += ['-arch', arch]
return arch_flags
def get_flags_arch(self):
return []
class Gnu95FCompiler(GnuFCompiler):
compiler_type = 'gnu95'
compiler_aliases = ('gfortran',)
description = 'GNU Fortran 95 compiler'
def version_match(self, version_string):
v = self.gnu_version_match(version_string)
if not v or v[0] != 'gfortran':
return None
v = v[1]
if v>='4.':
# gcc-4 series releases do not support -mno-cygwin option
pass
else:
# use -mno-cygwin flag for gfortran when Python is not Cygwin-Python
if sys.platform == 'win32':
for key in ['version_cmd', 'compiler_f77', 'compiler_f90',
'compiler_fix', 'linker_so', 'linker_exe']:
self.executables[key].append('-mno-cygwin')
return v
# 'gfortran --version' results:
# XXX is the below right?
# Debian: GNU Fortran 95 (GCC 4.0.3 20051023 (prerelease) (Debian 4.0.2-3))
# GNU Fortran 95 (GCC) 4.1.2 20061115 (prerelease) (Debian 4.1.1-21)
# OS X: GNU Fortran 95 (GCC) 4.1.0
# GNU Fortran 95 (GCC) 4.2.0 20060218 (experimental)
# GNU Fortran (GCC) 4.3.0 20070316 (experimental)
possible_executables = ['gfortran', 'f95']
executables = {
'version_cmd' : ["<F90>", "--version"],
'compiler_f77' : [None, "-Wall", "-ffixed-form",
"-fno-second-underscore"] + _EXTRAFLAGS,
'compiler_f90' : [None, "-Wall", "-fno-second-underscore"] + _EXTRAFLAGS,
'compiler_fix' : [None, "-Wall", "-ffixed-form",
"-fno-second-underscore"] + _EXTRAFLAGS,
'linker_so' : ["<F90>", "-Wall"],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"],
'linker_exe' : [None, "-Wall"]
}
module_dir_switch = '-J'
module_include_switch = '-I'
g2c = 'gfortran'
def _universal_flags(self, cmd):
"""Return a list of -arch flags for every supported architecture."""
if not sys.platform == 'darwin':
return []
arch_flags = []
# get arches the C compiler gets.
c_archs = self._c_arch_flags()
if "i386" in c_archs:
c_archs[c_archs.index("i386")] = "i686"
# check the arches the Fortran compiler supports, and compare with
# arch flags from C compiler
for arch in ["ppc", "i686", "x86_64", "ppc64"]:
if _can_target(cmd, arch) and arch in c_archs:
arch_flags.extend(["-arch", arch])
return arch_flags
def get_flags(self):
flags = GnuFCompiler.get_flags(self)
arch_flags = self._universal_flags(self.compiler_f90)
if arch_flags:
flags[:0] = arch_flags
return flags
def get_flags_linker_so(self):
flags = GnuFCompiler.get_flags_linker_so(self)
arch_flags = self._universal_flags(self.linker_so)
if arch_flags:
flags[:0] = arch_flags
return flags
def get_library_dirs(self):
opt = GnuFCompiler.get_library_dirs(self)
if sys.platform == 'win32':
c_compiler = self.c_compiler
if c_compiler and c_compiler.compiler_type == "msvc":
target = self.get_target()
if target:
d = os.path.normpath(self.get_libgcc_dir())
root = os.path.join(d, os.pardir, os.pardir, os.pardir, os.pardir)
mingwdir = os.path.normpath(os.path.join(root, target, "lib"))
full = os.path.join(mingwdir, "libmingwex.a")
if os.path.exists(full):
opt.append(mingwdir)
return opt
def get_libraries(self):
opt = GnuFCompiler.get_libraries(self)
if sys.platform == 'darwin':
opt.remove('cc_dynamic')
if sys.platform == 'win32':
c_compiler = self.c_compiler
if c_compiler and c_compiler.compiler_type == "msvc":
if "gcc" in opt:
i = opt.index("gcc")
opt.insert(i+1, "mingwex")
opt.insert(i+1, "mingw32")
# XXX: fix this mess, does not work for mingw
if is_win64():
c_compiler = self.c_compiler
if c_compiler and c_compiler.compiler_type == "msvc":
return []
else:
raise NotImplementedError("Only MS compiler supported with gfortran on win64")
return opt
def get_target(self):
status, output = exec_command(self.compiler_f77 +
['-v'],
use_tee=0)
if not status:
m = TARGET_R.search(output)
if m:
return m.group(1)
return ""
def get_flags_opt(self):
if is_win64():
return ['-O0']
else:
return GnuFCompiler.get_flags_opt(self)
def _can_target(cmd, arch):
"""Return true is the command supports the -arch flag for the given
architecture."""
newcmd = cmd[:]
fid, filename = tempfile.mkstemp(suffix=".f")
try:
d = os.path.dirname(filename)
output = os.path.splitext(filename)[0] + ".o"
try:
newcmd.extend(["-arch", arch, "-c", filename])
p = Popen(newcmd, stderr=STDOUT, stdout=PIPE, cwd=d)
p.communicate()
return p.returncode == 0
finally:
if os.path.exists(output):
os.remove(output)
finally:
os.remove(filename)
return False
if __name__ == '__main__':
from distutils import log
log.set_verbosity(2)
compiler = GnuFCompiler()
compiler.customize()
print(compiler.get_version())
raw_input('Press ENTER to continue...')
try:
compiler = Gnu95FCompiler()
compiler.customize()
print(compiler.get_version())
except Exception:
msg = get_exception()
print(msg)
raw_input('Press ENTER to continue...')
| apache-2.0 |
KirtoXX/Security_Camera | ssd_mobilenet/object_detection/models/faster_rcnn_inception_resnet_v2_feature_extractor.py | 13 | 9042 | # Copyright 2017 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.
# ==============================================================================
"""Inception Resnet v2 Faster R-CNN implementation.
See "Inception-v4, Inception-ResNet and the Impact of Residual Connections on
Learning" by Szegedy et al. (https://arxiv.org/abs/1602.07261)
as well as
"Speed/accuracy trade-offs for modern convolutional object detectors" by
Huang et al. (https://arxiv.org/abs/1611.10012)
"""
import tensorflow as tf
from object_detection.meta_architectures import faster_rcnn_meta_arch
from nets import inception_resnet_v2
slim = tf.contrib.slim
class FasterRCNNInceptionResnetV2FeatureExtractor(
faster_rcnn_meta_arch.FasterRCNNFeatureExtractor):
"""Faster R-CNN with Inception Resnet v2 feature extractor implementation."""
def __init__(self,
is_training,
first_stage_features_stride,
reuse_weights=None,
weight_decay=0.0):
"""Constructor.
Args:
is_training: See base class.
first_stage_features_stride: See base class.
reuse_weights: See base class.
weight_decay: See base class.
Raises:
ValueError: If `first_stage_features_stride` is not 8 or 16.
"""
if first_stage_features_stride != 8 and first_stage_features_stride != 16:
raise ValueError('`first_stage_features_stride` must be 8 or 16.')
super(FasterRCNNInceptionResnetV2FeatureExtractor, self).__init__(
is_training, first_stage_features_stride, reuse_weights, weight_decay)
def preprocess(self, resized_inputs):
"""Faster R-CNN with Inception Resnet v2 preprocessing.
Maps pixel values to the range [-1, 1].
Args:
resized_inputs: A [batch, height_in, width_in, channels] float32 tensor
representing a batch of images with values between 0 and 255.0.
Returns:
preprocessed_inputs: A [batch, height_out, width_out, channels] float32
tensor representing a batch of images.
"""
return (2.0 / 255.0) * resized_inputs - 1.0
def _extract_proposal_features(self, preprocessed_inputs, scope):
"""Extracts first stage RPN features.
Extracts features using the first half of the Inception Resnet v2 network.
We construct the network in `align_feature_maps=True` mode, which means
that all VALID paddings in the network are changed to SAME padding so that
the feature maps are aligned.
Args:
preprocessed_inputs: A [batch, height, width, channels] float32 tensor
representing a batch of images.
scope: A scope name.
Returns:
rpn_feature_map: A tensor with shape [batch, height, width, depth]
Raises:
InvalidArgumentError: If the spatial size of `preprocessed_inputs`
(height or width) is less than 33.
ValueError: If the created network is missing the required activation.
"""
if len(preprocessed_inputs.get_shape().as_list()) != 4:
raise ValueError('`preprocessed_inputs` must be 4 dimensional, got a '
'tensor of shape %s' % preprocessed_inputs.get_shape())
with slim.arg_scope(inception_resnet_v2.inception_resnet_v2_arg_scope(
weight_decay=self._weight_decay)):
# Forces is_training to False to disable batch norm update.
with slim.arg_scope([slim.batch_norm], is_training=False):
with tf.variable_scope('InceptionResnetV2',
reuse=self._reuse_weights) as scope:
rpn_feature_map, _ = (
inception_resnet_v2.inception_resnet_v2_base(
preprocessed_inputs, final_endpoint='PreAuxLogits',
scope=scope, output_stride=self._first_stage_features_stride,
align_feature_maps=True))
return rpn_feature_map
def _extract_box_classifier_features(self, proposal_feature_maps, scope):
"""Extracts second stage box classifier features.
This function reconstructs the "second half" of the Inception ResNet v2
network after the part defined in `_extract_proposal_features`.
Args:
proposal_feature_maps: A 4-D float tensor with shape
[batch_size * self.max_num_proposals, crop_height, crop_width, depth]
representing the feature map cropped to each proposal.
scope: A scope name.
Returns:
proposal_classifier_features: A 4-D float tensor with shape
[batch_size * self.max_num_proposals, height, width, depth]
representing box classifier features for each proposal.
"""
with tf.variable_scope('InceptionResnetV2', reuse=self._reuse_weights):
with slim.arg_scope(inception_resnet_v2.inception_resnet_v2_arg_scope(
weight_decay=self._weight_decay)):
# Forces is_training to False to disable batch norm update.
with slim.arg_scope([slim.batch_norm], is_training=False):
with slim.arg_scope([slim.conv2d, slim.max_pool2d, slim.avg_pool2d],
stride=1, padding='SAME'):
with tf.variable_scope('Mixed_7a'):
with tf.variable_scope('Branch_0'):
tower_conv = slim.conv2d(proposal_feature_maps,
256, 1, scope='Conv2d_0a_1x1')
tower_conv_1 = slim.conv2d(
tower_conv, 384, 3, stride=2,
padding='VALID', scope='Conv2d_1a_3x3')
with tf.variable_scope('Branch_1'):
tower_conv1 = slim.conv2d(
proposal_feature_maps, 256, 1, scope='Conv2d_0a_1x1')
tower_conv1_1 = slim.conv2d(
tower_conv1, 288, 3, stride=2,
padding='VALID', scope='Conv2d_1a_3x3')
with tf.variable_scope('Branch_2'):
tower_conv2 = slim.conv2d(
proposal_feature_maps, 256, 1, scope='Conv2d_0a_1x1')
tower_conv2_1 = slim.conv2d(tower_conv2, 288, 3,
scope='Conv2d_0b_3x3')
tower_conv2_2 = slim.conv2d(
tower_conv2_1, 320, 3, stride=2,
padding='VALID', scope='Conv2d_1a_3x3')
with tf.variable_scope('Branch_3'):
tower_pool = slim.max_pool2d(
proposal_feature_maps, 3, stride=2, padding='VALID',
scope='MaxPool_1a_3x3')
net = tf.concat(
[tower_conv_1, tower_conv1_1, tower_conv2_2, tower_pool], 3)
net = slim.repeat(net, 9, inception_resnet_v2.block8, scale=0.20)
net = inception_resnet_v2.block8(net, activation_fn=None)
proposal_classifier_features = slim.conv2d(
net, 1536, 1, scope='Conv2d_7b_1x1')
return proposal_classifier_features
def restore_from_classification_checkpoint_fn(
self,
first_stage_feature_extractor_scope,
second_stage_feature_extractor_scope):
"""Returns a map of variables to load from a foreign checkpoint.
Note that this overrides the default implementation in
faster_rcnn_meta_arch.FasterRCNNFeatureExtractor which does not work for
InceptionResnetV2 checkpoints.
TODO: revisit whether it's possible to force the
`Repeat` namescope as created in `_extract_box_classifier_features` to
start counting at 2 (e.g. `Repeat_2`) so that the default restore_fn can
be used.
Args:
first_stage_feature_extractor_scope: A scope name for the first stage
feature extractor.
second_stage_feature_extractor_scope: A scope name for the second stage
feature extractor.
Returns:
A dict mapping variable names (to load from a checkpoint) to variables in
the model graph.
"""
variables_to_restore = {}
for variable in tf.global_variables():
if variable.op.name.startswith(
first_stage_feature_extractor_scope):
var_name = variable.op.name.replace(
first_stage_feature_extractor_scope + '/', '')
variables_to_restore[var_name] = variable
if variable.op.name.startswith(
second_stage_feature_extractor_scope):
var_name = variable.op.name.replace(
second_stage_feature_extractor_scope
+ '/InceptionResnetV2/Repeat', 'InceptionResnetV2/Repeat_2')
var_name = var_name.replace(
second_stage_feature_extractor_scope + '/', '')
variables_to_restore[var_name] = variable
return variables_to_restore
| apache-2.0 |
jkyeung/XlsxWriter | xlsxwriter/test/comparison/test_fit_to_pages01.py | 1 | 1354 | ###############################################################################
#
# Tests for XlsxWriter.
#
# Copyright (c), 2013-2016, John McNamara, [email protected]
#
from ..excel_comparsion_test import ExcelComparisonTest
from ...workbook import Workbook
class TestCompareXLSXFiles(ExcelComparisonTest):
"""
Test file created by XlsxWriter against a file created by Excel.
"""
def setUp(self):
self.maxDiff = None
filename = 'fit_to_pages01.xlsx'
test_dir = 'xlsxwriter/test/comparison/'
self.got_filename = test_dir + '_test_' + filename
self.exp_filename = test_dir + 'xlsx_files/' + filename
self.ignore_files = ['xl/printerSettings/printerSettings1.bin',
'xl/worksheets/_rels/sheet1.xml.rels']
self.ignore_elements = {'[Content_Types].xml': ['<Default Extension="bin"'],
'xl/worksheets/sheet1.xml': ['<pageMargins', '<pageSetup']}
def test_create_file(self):
"""Test the creation of a simple XlsxWriter file with fit to print."""
workbook = Workbook(self.got_filename)
worksheet = workbook.add_worksheet()
worksheet.fit_to_pages(1, 1)
worksheet.set_paper(9)
worksheet.write('A1', 'Foo')
workbook.close()
self.assertExcelEqual()
| bsd-2-clause |
est31/godot | tools/translations/extract.py | 4 | 3162 | #!/bin/python
import fnmatch
import os
import shutil
import subprocess
import sys
line_nb = False
for arg in sys.argv[1:]:
if (arg == "--with-line-nb"):
print("Enabling line numbers in the context locations.")
line_nb = True
else:
os.sys.exit("Non supported argument '" + arg + "'. Aborting.")
if (not os.path.exists("tools")):
os.sys.exit("ERROR: This script should be started from the root of the git repo.")
matches = []
for root, dirnames, filenames in os.walk('.'):
for filename in fnmatch.filter(filenames, '*.cpp'):
if (filename.find("collada") != -1):
continue
matches.append(os.path.join(root, filename))
for filename in fnmatch.filter(filenames, '*.h'):
if (filename.find("collada") != -1):
continue
matches.append(os.path.join(root, filename))
matches.sort()
unique_str = []
unique_loc = {}
main_po = """
# LANGUAGE translation of the Godot Engine editor
# Copyright (C) 2016 Juan Linietsky, Ariel Manzur and the Godot community
# This file is distributed under the same license as the Godot source code.
# FIRST AUTHOR <EMAIL@ADDRESS>, YEAR.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: Godot Engine editor\\n"
"Content-Type: text/plain; charset=UTF-8\\n"
"Content-Transfer-Encoding: 8-bit\\n"
"""
print("Updating the tools.pot template...")
for fname in matches:
f = open(fname, "rb")
l = f.readline()
lc = 1
while (l):
patterns = ['RTR(\"', 'TTR(\"']
idx = 0
pos = 0
while (pos >= 0):
pos = l.find(patterns[idx], pos)
if (pos == -1):
if (idx < len(patterns) - 1):
idx += 1
pos = 0
continue
pos += 5
msg = ""
while (pos < len(l) and (l[pos] != '"' or l[pos - 1] == '\\')):
msg += l[pos]
pos += 1
location = os.path.relpath(fname).replace('\\','/')
if (line_nb):
location += ":" + str(lc)
if (not msg in unique_str):
main_po += "\n#: " + location + "\n"
main_po += 'msgid "' + msg + '"\n'
main_po += 'msgstr ""\n'
unique_str.append(msg)
unique_loc[msg] = [location]
elif (not location in unique_loc[msg]):
# Add additional location to previous occurence too
msg_pos = main_po.find('\nmsgid "' + msg + '"')
if (msg_pos == -1):
print("Someone apparently thought writing Python was as easy as GDScript. Ping Akien.")
main_po = main_po[:msg_pos] + ' ' + location + main_po[msg_pos:]
unique_loc[msg].append(location)
l = f.readline()
lc += 1
f.close()
f = open("tools.pot", "wb")
f.write(main_po)
f.close()
if (os.name == "posix"):
os.system("msgmerge -w80 tools.pot tools.pot > tools.pot.wrap")
shutil.move("tools.pot.wrap", "tools.pot")
shutil.move("tools.pot", "tools/translations/tools.pot")
# TODO: Make that in a portable way, if we care; if not, kudos to Unix users
if (os.name == "posix"):
added = subprocess.check_output("git diff tools/translations/tools.pot | grep \+msgid | wc -l", shell = True)
removed = subprocess.check_output("git diff tools/translations/tools.pot | grep \\\-msgid | wc -l", shell = True)
print("\n# Template changes compared to the staged status:")
print("# Additions: %s msgids.\n# Deletions: %s msgids." % (int(added), int(removed)))
| mit |
kerrpy/kerrpy | docs/source/conf.py | 1 | 10716 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# kerrpy documentation build configuration file, created by
# sphinx-quickstart on Wed Aug 10 14:00:40 2016.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are commented out
# serve to show the default.
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
#
import sphinx_bootstrap_theme
import os
import sys
sys.path.insert(0, os.path.abspath('../../kerrpy'))
print(sys.path)
# -- General configuration ------------------------------------------------
# If your documentation needs a minimal Sphinx version, state it here.
#
# needs_sphinx = '1.0'
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = ['sphinx.ext.autodoc', 'sphinx.ext.napoleon', 'sphinx.ext.todo', 'sphinx.ext.mathjax', 'sphinx.ext.viewcode', 'sphinx.ext.githubpages', 'sphinxcontrib.bibtex', 'breathe']
# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
# The suffix(es) of source filenames.
# You can specify multiple suffix as a list of string:
#
# source_suffix = ['.rst', '.md']
source_suffix = '.rst'
# The encoding of source files.
#
# source_encoding = 'utf-8-sig'
# The master toctree document.
master_doc = 'index'
# General information about the project.
project = 'kerrpy'
copyright = '2017, Pablo Galindo and Alejandro García'
author = 'Pablo Galindo and Alejandro García'
# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
# built documents.
#
# The short X.Y version.
version = '0.1'
# The full version, including alpha/beta/rc tags.
release = '0.1'
# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
#
# This is also used if you do content translation via gettext catalogs.
# Usually you set "language" from the command line for these cases.
language = None
# There are two options for replacing |today|: either, you set today to some
# non-false value, then it is used:
#
# today = ''
#
# Else, today_fmt is used as the format for a strftime call.
#
# today_fmt = '%B %d, %Y'
# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
# This patterns also effect to html_static_path and html_extra_path
exclude_patterns = []
# The reST default role (used for this markup: `text`) to use for all
# documents.
#
# default_role = None
# If true, '()' will be appended to :func: etc. cross-reference text.
#
# add_function_parentheses = True
# If true, the current module name will be prepended to all description
# unit titles (such as .. function::).
#
# add_module_names = True
# If true, sectionauthor and moduleauthor directives will be shown in the
# output. They are ignored by default.
#
# show_authors = False
# The name of the Pygments (syntax highlighting) style to use.
pygments_style = 'sphinx'
# A list of ignored prefixes for module index sorting.
# modindex_common_prefix = []
# If true, keep warnings as "system message" paragraphs in the built documents.
# keep_warnings = False
# If true, `todo` and `todoList` produce output, else they produce nothing.
todo_include_todos = True
# -- Options for HTML output ----------------------------------------------
# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
#
html_theme = 'bootstrap'
# Theme options are theme-specific and customize the look and feel of a theme
# further. For a list of options available for each theme, see the
# documentation.
#
html_theme_options = {'bootswatch_theme': "paper"}
# Add any paths that contain custom themes here, relative to this directory.
html_theme_path = sphinx_bootstrap_theme.get_html_theme_path()
# The name for this set of Sphinx documents.
# "<project> v<release> documentation" by default.
#
# html_title = 'kerrpy v0.1'
# A shorter title for the navigation bar. Default is the same as html_title.
#
# html_short_title = None
# The name of an image file (relative to this directory) to place at the top
# of the sidebar.
#
# html_logo = None
# The name of an image file (relative to this directory) to use as a favicon of
# the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32
# pixels large.
#
# html_favicon = None
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']
# Add any extra paths that contain custom files (such as robots.txt or
# .htaccess) here, relative to this directory. These files are copied
# directly to the root of the documentation.
#
# html_extra_path = []
# If not None, a 'Last updated on:' timestamp is inserted at every page
# bottom, using the given strftime format.
# The empty string is equivalent to '%b %d, %Y'.
#
# html_last_updated_fmt = None
# If true, SmartyPants will be used to convert quotes and dashes to
# typographically correct entities.
#
# html_use_smartypants = True
# Custom sidebar templates, maps document names to template names.
#
# html_sidebars = {}
# Additional templates that should be rendered to pages, maps page names to
# template names.
#
# html_additional_pages = {}
# If false, no module index is generated.
#
# html_domain_indices = True
# If false, no index is generated.
#
# html_use_index = True
# If true, the index is split into individual pages for each letter.
#
# html_split_index = False
# If true, links to the reST sources are added to the pages.
#
# html_show_sourcelink = True
# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
#
# html_show_sphinx = True
# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
#
# html_show_copyright = True
# If true, an OpenSearch description file will be output, and all pages will
# contain a <link> tag referring to it. The value of this option must be the
# base URL from which the finished HTML is served.
#
# html_use_opensearch = ''
# This is the file name suffix for HTML files (e.g. ".xhtml").
# html_file_suffix = None
# Language to be used for generating the HTML full-text search index.
# Sphinx supports the following languages:
# 'da', 'de', 'en', 'es', 'fi', 'fr', 'h', 'it', 'ja'
# 'nl', 'no', 'pt', 'ro', 'r', 'sv', 'tr', 'zh'
#
# html_search_language = 'en'
# A dictionary with options for the search language support, empty by default.
# 'ja' uses this config value.
# 'zh' user can custom change `jieba` dictionary path.
#
# html_search_options = {'type': 'default'}
# The name of a javascript file (relative to the configuration directory) that
# implements a search results scorer. If empty, the default will be used.
#
# html_search_scorer = 'scorer.js'
# Output file base name for HTML help builder.
htmlhelp_basename = 'kerrpydoc'
# -- Options for LaTeX output ---------------------------------------------
latex_elements = {
# The paper size ('letterpaper' or 'a4paper').
#
# 'papersize': 'letterpaper',
# The font size ('10pt', '11pt' or '12pt').
#
# 'pointsize': '10pt',
# Additional stuff for the LaTeX preamble.
#
# 'preamble': '',
# Latex figure (float) alignment
#
# 'figure_align': 'htbp',
}
# Grouping the document tree into LaTeX files. List of tuples
# (source start file, target name, title,
# author, documentclass [howto, manual, or own class]).
# latex_documents = [(master_doc, 'kerrpy.tex', 'kerrpy Documentation', 'Alejandro García Montoro', 'manual'), ]
# The name of an image file (relative to this directory) to place at the top of
# the title page.
#
# latex_logo = None
# For "manual" documents, if this is true, then toplevel headings are parts,
# not chapters.
#
# latex_use_parts = False
# If true, show page references after internal links.
#
# latex_show_pagerefs = False
# If true, show URL addresses after external links.
#
# latex_show_urls = False
# Documents to append as an appendix to all manuals.
#
# latex_appendices = []
# It false, will not define \strong, \code, itleref, \crossref ... but only
# \sphinxstrong, ..., \sphinxtitleref, ... To help avoid clash with user added
# packages.
#
# latex_keep_old_macro_names = True
# If false, no module index is generated.
#
# latex_domain_indices = True
# -- Options for manual page output ---------------------------------------
# One entry per manual page. List of tuples
# (source start file, name, description, authors, manual section).
man_pages = [(master_doc, 'kerrpy', 'kerrpy Documentation', [author], 1)]
# If true, show URL addresses after external links.
#
# man_show_urls = False
# -- Options for Texinfo output -------------------------------------------
# Grouping the document tree into Texinfo files. List of tuples
# (source start file, target name, title, author,
# dir menu entry, description, category)
texinfo_documents = [(master_doc, 'kerrpy', 'kerrpy Documentation', author, 'kerrpy', 'One line description of project.', 'Miscellaneous'), ]
# Documents to append as an appendix to all manuals.
#
# texinfo_appendices = []
# If false, no module index is generated.
#
# texinfo_domain_indices = True
# How to display URL addresses: 'footnote', 'no', or 'inline'.
#
# texinfo_show_urls = 'footnote'
# If true, do not generate a @detailmenu in the "Top" node's menu.
#
# texinfo_no_detailmenu = False
# Number the figures
numfig = True
# # Taken from http://stackoverflow.com/a/5599712
# def skip(app, what, name, obj, skip, options):
# if name == "__init__":
# return False
# return skip
#
#
# def setup(app):
# app.connect("autodoc-skip-member", skip)
autodoc_default_flags = ['members', 'special-members']
# -- Doxygen configuration ------------------------------------------------
breathe_projects = {"kerrpy": "../build/doxygen/xml/", }
breathe_default_project = "kerrpy"
# Sphinx goes nuts with cuda macros, so we need to add them (see http://www.sphinx-doc.org/en/1.5.1/config.html#confval-cpp_id_attributes)
cpp_id_attributes = ['__device__', '__global__']
| gpl-3.0 |
crazcalm/AngelHack_python34 | myenv/Lib/site-packages/pip/exceptions.py | 398 | 1086 | """Exceptions used throughout package"""
class PipError(Exception):
"""Base pip exception"""
class InstallationError(PipError):
"""General exception during installation"""
class UninstallationError(PipError):
"""General exception during uninstallation"""
class DistributionNotFound(InstallationError):
"""Raised when a distribution cannot be found to satisfy a requirement"""
class BestVersionAlreadyInstalled(PipError):
"""Raised when the most up-to-date version of a package is already
installed. """
class BadCommand(PipError):
"""Raised when virtualenv or a command is not found"""
class CommandError(PipError):
"""Raised when there is an error in command-line arguments"""
class PreviousBuildDirError(PipError):
"""Raised when there's a previous conflicting build directory"""
class HashMismatch(InstallationError):
"""Distribution file hash values don't match."""
class InvalidWheelFilename(InstallationError):
"""Invalid wheel filename."""
class UnsupportedWheel(InstallationError):
"""Unsupported wheel."""
| mit |
feroda/django | django/contrib/postgres/fields/hstore.py | 45 | 2945 | import json
from django.contrib.postgres import forms, lookups
from django.contrib.postgres.fields.array import ArrayField
from django.core import exceptions
from django.db.models import Field, TextField, Transform
from django.utils import six
from django.utils.translation import ugettext_lazy as _
__all__ = ['HStoreField']
class HStoreField(Field):
empty_strings_allowed = False
description = _('Map of strings to strings')
default_error_messages = {
'not_a_string': _('The value of "%(key)s" is not a string.'),
}
def db_type(self, connection):
return 'hstore'
def get_transform(self, name):
transform = super(HStoreField, self).get_transform(name)
if transform:
return transform
return KeyTransformFactory(name)
def validate(self, value, model_instance):
super(HStoreField, self).validate(value, model_instance)
for key, val in value.items():
if not isinstance(val, six.string_types):
raise exceptions.ValidationError(
self.error_messages['not_a_string'],
code='not_a_string',
params={'key': key},
)
def to_python(self, value):
if isinstance(value, six.string_types):
value = json.loads(value)
return value
def value_to_string(self, obj):
value = self._get_val_from_obj(obj)
return json.dumps(value)
def formfield(self, **kwargs):
defaults = {
'form_class': forms.HStoreField,
}
defaults.update(kwargs)
return super(HStoreField, self).formfield(**defaults)
HStoreField.register_lookup(lookups.DataContains)
HStoreField.register_lookup(lookups.ContainedBy)
@HStoreField.register_lookup
class HasKeyLookup(lookups.PostgresSimpleLookup):
lookup_name = 'has_key'
operator = '?'
@HStoreField.register_lookup
class HasKeysLookup(lookups.PostgresSimpleLookup):
lookup_name = 'has_keys'
operator = '?&'
class KeyTransform(Transform):
output_field = TextField()
def __init__(self, key_name, *args, **kwargs):
super(KeyTransform, self).__init__(*args, **kwargs)
self.key_name = key_name
def as_sql(self, compiler, connection):
lhs, params = compiler.compile(self.lhs)
return "%s -> '%s'" % (lhs, self.key_name), params
class KeyTransformFactory(object):
def __init__(self, key_name):
self.key_name = key_name
def __call__(self, *args, **kwargs):
return KeyTransform(self.key_name, *args, **kwargs)
@HStoreField.register_lookup
class KeysTransform(lookups.FunctionTransform):
lookup_name = 'keys'
function = 'akeys'
output_field = ArrayField(TextField())
@HStoreField.register_lookup
class ValuesTransform(lookups.FunctionTransform):
lookup_name = 'values'
function = 'avals'
output_field = ArrayField(TextField())
| bsd-3-clause |
Juniper/tempest | tempest/tests/lib/common/test_http.py | 1 | 2801 | # 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 tempest.lib.common import http
from tempest.tests import base
class TestClosingHttp(base.TestCase):
def setUp(self):
super(TestClosingHttp, self).setUp()
self.cert_none = "CERT_NONE"
self.cert_location = "/etc/ssl/certs/ca-certificates.crt"
def test_constructor_invalid_ca_certs_and_timeout(self):
connection = http.ClosingHttp(
disable_ssl_certificate_validation=False,
ca_certs=None,
timeout=None)
for attr in ('cert_reqs', 'ca_certs', 'timeout'):
self.assertNotIn(attr, connection.connection_pool_kw)
def test_constructor_valid_ca_certs(self):
cert_required = 'CERT_REQUIRED'
connection = http.ClosingHttp(
disable_ssl_certificate_validation=False,
ca_certs=self.cert_location,
timeout=None)
self.assertEqual(cert_required,
connection.connection_pool_kw['cert_reqs'])
self.assertEqual(self.cert_location,
connection.connection_pool_kw['ca_certs'])
self.assertNotIn('timeout',
connection.connection_pool_kw)
def test_constructor_ssl_cert_validation_disabled(self):
connection = http.ClosingHttp(
disable_ssl_certificate_validation=True,
ca_certs=None,
timeout=30)
self.assertEqual(self.cert_none,
connection.connection_pool_kw['cert_reqs'])
self.assertEqual(30,
connection.connection_pool_kw['timeout'])
self.assertNotIn('ca_certs',
connection.connection_pool_kw)
def test_constructor_ssl_cert_validation_disabled_and_ca_certs(self):
connection = http.ClosingHttp(
disable_ssl_certificate_validation=True,
ca_certs=self.cert_location,
timeout=None)
self.assertNotIn('timeout',
connection.connection_pool_kw)
self.assertEqual(self.cert_none,
connection.connection_pool_kw['cert_reqs'])
self.assertNotIn('ca_certs',
connection.connection_pool_kw)
| apache-2.0 |
PsychoGame/gee-caf-kernel | Documentation/networking/cxacru-cf.py | 14668 | 1626 | #!/usr/bin/env python
# Copyright 2009 Simon Arlott
#
# 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.
#
# Usage: cxacru-cf.py < cxacru-cf.bin
# Output: values string suitable for the sysfs adsl_config attribute
#
# Warning: cxacru-cf.bin with MD5 hash cdbac2689969d5ed5d4850f117702110
# contains mis-aligned values which will stop the modem from being able
# to make a connection. If the first and last two bytes are removed then
# the values become valid, but the modulation will be forced to ANSI
# T1.413 only which may not be appropriate.
#
# The original binary format is a packed list of le32 values.
import sys
import struct
i = 0
while True:
buf = sys.stdin.read(4)
if len(buf) == 0:
break
elif len(buf) != 4:
sys.stdout.write("\n")
sys.stderr.write("Error: read {0} not 4 bytes\n".format(len(buf)))
sys.exit(1)
if i > 0:
sys.stdout.write(" ")
sys.stdout.write("{0:x}={1}".format(i, struct.unpack("<I", buf)[0]))
i += 1
sys.stdout.write("\n")
| gpl-2.0 |
pratikmallya/hue | desktop/core/ext-py/Django-1.6.10/django/views/decorators/cache.py | 129 | 2286 | from functools import wraps
from django.utils.decorators import decorator_from_middleware_with_args, available_attrs
from django.utils.cache import patch_cache_control, add_never_cache_headers
from django.middleware.cache import CacheMiddleware
def cache_page(*args, **kwargs):
"""
Decorator for views that tries getting the page from the cache and
populates the cache if the page isn't in the cache yet.
The cache is keyed by the URL and some data from the headers.
Additionally there is the key prefix that is used to distinguish different
cache areas in a multi-site setup. You could use the
sites.get_current_site().domain, for example, as that is unique across a Django
project.
Additionally, all headers from the response's Vary header will be taken
into account on caching -- just like the middleware does.
"""
# We also add some asserts to give better error messages in case people are
# using other ways to call cache_page that no longer work.
if len(args) != 1 or callable(args[0]):
raise TypeError("cache_page has a single mandatory positional argument: timeout")
cache_timeout = args[0]
cache_alias = kwargs.pop('cache', None)
key_prefix = kwargs.pop('key_prefix', None)
if kwargs:
raise TypeError("cache_page has two optional keyword arguments: cache and key_prefix")
return decorator_from_middleware_with_args(CacheMiddleware)(cache_timeout=cache_timeout, cache_alias=cache_alias, key_prefix=key_prefix)
def cache_control(**kwargs):
def _cache_controller(viewfunc):
@wraps(viewfunc, assigned=available_attrs(viewfunc))
def _cache_controlled(request, *args, **kw):
response = viewfunc(request, *args, **kw)
patch_cache_control(response, **kwargs)
return response
return _cache_controlled
return _cache_controller
def never_cache(view_func):
"""
Decorator that adds headers to a response so that it will
never be cached.
"""
@wraps(view_func, assigned=available_attrs(view_func))
def _wrapped_view_func(request, *args, **kwargs):
response = view_func(request, *args, **kwargs)
add_never_cache_headers(response)
return response
return _wrapped_view_func
| apache-2.0 |
sf-wind/caffe2 | caffe2/python/pipeline_test.py | 4 | 3358 | # Copyright (c) 2016-present, Facebook, 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.
##############################################################################
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python.schema import (
Struct, FetchRecord, NewRecord, FeedRecord, InitEmptyRecord)
from caffe2.python import core, workspace
from caffe2.python.session import LocalSession
from caffe2.python.dataset import Dataset
from caffe2.python.pipeline import pipe
from caffe2.python.queue_util import Queue
from caffe2.python.task import TaskGroup
from caffe2.python.test_util import TestCase
from caffe2.python.net_builder import ops
import numpy as np
import math
class TestPipeline(TestCase):
def test_dequeue_many(self):
init_net = core.Net('init')
N = 17
NUM_DEQUEUE_RECORDS = 3
src_values = Struct(
('uid', np.array(range(N))),
('value', 0.1 * np.array(range(N))))
expected_dst = Struct(
('uid', 2 * np.array(range(N))),
('value', np.array(N * [0.0])))
with core.NameScope('init'):
src_blobs = NewRecord(init_net, src_values)
dst_blobs = InitEmptyRecord(init_net, src_values.clone_schema())
counter = init_net.Const(0)
ONE = init_net.Const(1)
def proc1(rec):
with core.NameScope('proc1'):
out = NewRecord(ops, rec)
ops.Add([rec.uid(), rec.uid()], [out.uid()])
out.value.set(blob=rec.value(), unsafe=True)
return out
def proc2(rec):
with core.NameScope('proc2'):
out = NewRecord(ops, rec)
out.uid.set(blob=rec.uid(), unsafe=True)
ops.Sub([rec.value(), rec.value()], [out.value()])
ops.Add([counter, ONE], [counter])
return out
src_ds = Dataset(src_blobs)
dst_ds = Dataset(dst_blobs)
with TaskGroup() as tg:
out1 = pipe(
src_ds.reader(),
output=Queue(
capacity=11, num_dequeue_records=NUM_DEQUEUE_RECORDS),
processor=proc1)
out2 = pipe(out1, processor=proc2)
pipe(out2, dst_ds.writer())
ws = workspace.C.Workspace()
FeedRecord(src_blobs, src_values, ws)
session = LocalSession(ws)
session.run(init_net)
session.run(tg)
output = FetchRecord(dst_blobs, ws=ws)
num_dequeues = ws.blobs[str(counter)].fetch()
self.assertEquals(
num_dequeues, int(math.ceil(float(N) / NUM_DEQUEUE_RECORDS)))
for a, b in zip(output.field_blobs(), expected_dst.field_blobs()):
np.testing.assert_array_equal(a, b)
| apache-2.0 |
tody411/ImageViewerFramework | ivf/cmds/save_depth.py | 1 | 1284 |
# -*- coding: utf-8 -*-
## @package ivf.cmds.save_depth
#
# ivf.cmds.save_depth utility package.
# @author tody
# @date 2016/02/02
from PyQt4.QtGui import *
from PyQt4.QtCore import *
import os
from ivf.cmds.base_cmds import BaseCommand
from ivf.scene.gl3d.image_plane import ImagePlane
from ivf.io_util.obj_model import saveOBJ
class SaveDepthCommand(BaseCommand):
def __init__(self, scene, file_path="", parent=None):
super(SaveDepthCommand, self).__init__(scene, "Save Depth Mesh", parent)
self._file_path = file_path
self._show_ui = file_path is ""
self._root_dir = os.path.expanduser('~')
def _runImp(self):
if self._show_ui:
self._file_path = str(QFileDialog.getSaveFileName(None, "Save Depth Mesh", self._root_dir, "Obj File (*.obj)" ))
if self._file_path is "":
return
RGBA_8U = self._scene.image()
D_32F = self._scene.depth()
if D_32F is None:
return
model = ImagePlane(RGBA_8U)
model.setDepth(D_32F)
vertices = model.mesh().positions()
index_array = model.mesh().indexArray()
vertex_colors = model.mesh().vertexColors()
saveOBJ(self._file_path, vertices, index_array, vertex_colors) | mit |
David-Amaro/bank-payment | account_payment_blocking/__init__.py | 16 | 1081 | # -*- encoding: utf-8 -*-
##############################################################################
#
# Account Payment Blocking module for Odoo
# Copyright (C) 2014-2015 ACSONE SA/NV (http://acsone.eu)
# @author Stéphane Bidoul <[email protected]>
#
# 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 . import model
from . import tests
| agpl-3.0 |
kisel/trex-core | scripts/astf/param_mss_err.py | 2 | 1056 | from trex_astf_lib.api import *
# IPV6 tunable example
#
# ipv6.src_msb
# ipv6.dst_msb
# ipv6.enable
#
class Prof1():
def __init__(self):
pass
def get_profile(self, **kwargs):
# ip generator
ip_gen_c = ASTFIPGenDist(ip_range=["16.0.0.0", "16.0.0.255"], distribution="seq")
ip_gen_s = ASTFIPGenDist(ip_range=["48.0.0.0", "48.0.255.255"], distribution="seq")
ip_gen = ASTFIPGen(glob=ASTFIPGenGlobal(ip_offset="1.0.0.0"),
dist_client=ip_gen_c,
dist_server=ip_gen_s)
c_glob_info = ASTFGlobalInfo()
c_glob_info.tcp.mss = 1
return ASTFProfile(default_ip_gen=ip_gen,
# Defaults affects all files
default_c_glob_info=c_glob_info,
cap_list=[
ASTFCapInfo(file="../avl/delay_10_http_browsing_0.pcap", cps=1)
]
)
def register():
return Prof1()
| apache-2.0 |
vschs007/buck | third-party/py/pex/pex/interpreter.py | 52 | 12996 | # Copyright 2014 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
"""pex support for interacting with interpreters."""
from __future__ import absolute_import
import os
import re
import subprocess
import sys
from collections import defaultdict
from pkg_resources import Distribution, Requirement, find_distributions
from .base import maybe_requirement
from .compatibility import string
from .tracer import TRACER
try:
from numbers import Integral
except ImportError:
Integral = (int, long)
# Determine in the most platform-compatible way possible the identity of the interpreter
# and its known packages.
ID_PY = b"""
import sys
if hasattr(sys, 'pypy_version_info'):
subversion = 'PyPy'
elif sys.platform.startswith('java'):
subversion = 'Jython'
else:
subversion = 'CPython'
print("%s %s %s %s" % (
subversion,
sys.version_info[0],
sys.version_info[1],
sys.version_info[2]))
setuptools_path = None
try:
import pkg_resources
except ImportError:
sys.exit(0)
requirements = {}
for item in sys.path:
for dist in pkg_resources.find_distributions(item):
requirements[str(dist.as_requirement())] = dist.location
for requirement_str, location in requirements.items():
rs = requirement_str.split('==', 2)
if len(rs) == 2:
print('%s %s %s' % (rs[0], rs[1], location))
"""
class PythonIdentity(object):
class Error(Exception): pass
class InvalidError(Error): pass
class UnknownRequirement(Error): pass
# TODO(wickman) Support interpreter-specific versions, e.g. PyPy-2.2.1
HASHBANGS = {
'CPython': 'python%(major)d.%(minor)d',
'Jython': 'jython',
'PyPy': 'pypy',
}
@classmethod
def get_subversion(cls):
if hasattr(sys, 'pypy_version_info'):
subversion = 'PyPy'
elif sys.platform.startswith('java'):
subversion = 'Jython'
else:
subversion = 'CPython'
return subversion
@classmethod
def get(cls):
return cls(cls.get_subversion(), sys.version_info[0], sys.version_info[1], sys.version_info[2])
@classmethod
def from_id_string(cls, id_string):
values = id_string.split()
if len(values) != 4:
raise cls.InvalidError("Invalid id string: %s" % id_string)
return cls(str(values[0]), int(values[1]), int(values[2]), int(values[3]))
@classmethod
def from_path(cls, dirname):
interp, version = dirname.split('-')
major, minor, patch = version.split('.')
return cls(str(interp), int(major), int(minor), int(patch))
def __init__(self, interpreter, major, minor, patch):
for var in (major, minor, patch):
assert isinstance(var, Integral)
self._interpreter = interpreter
self._version = (major, minor, patch)
@property
def interpreter(self):
return self._interpreter
@property
def version(self):
return self._version
@property
def requirement(self):
return self.distribution.as_requirement()
@property
def distribution(self):
return Distribution(project_name=self._interpreter, version='.'.join(map(str, self._version)))
@classmethod
def parse_requirement(cls, requirement, default_interpreter='CPython'):
if isinstance(requirement, Requirement):
return requirement
elif isinstance(requirement, string):
try:
requirement = Requirement.parse(requirement)
except ValueError:
try:
requirement = Requirement.parse('%s%s' % (default_interpreter, requirement))
except ValueError:
raise ValueError('Unknown requirement string: %s' % requirement)
return requirement
else:
raise ValueError('Unknown requirement type: %r' % (requirement,))
def matches(self, requirement):
"""Given a Requirement, check if this interpreter matches."""
try:
requirement = self.parse_requirement(requirement, self._interpreter)
except ValueError as e:
raise self.UnknownRequirement(str(e))
return self.distribution in requirement
def hashbang(self):
hashbang_string = self.HASHBANGS.get(self.interpreter, 'CPython') % {
'major': self._version[0],
'minor': self._version[1],
'patch': self._version[2],
}
return '#!/usr/bin/env %s' % hashbang_string
@property
def python(self):
# return the python version in the format of the 'python' key for distributions
# specifically, '2.6', '2.7', '3.2', etc.
return '%d.%d' % (self.version[0:2])
def __str__(self):
return '%s-%s.%s.%s' % (self._interpreter,
self._version[0], self._version[1], self._version[2])
def __repr__(self):
return 'PythonIdentity(%r, %s, %s, %s)' % (
self._interpreter, self._version[0], self._version[1], self._version[2])
def __eq__(self, other):
return all([isinstance(other, PythonIdentity),
self.interpreter == other.interpreter,
self.version == other.version])
def __hash__(self):
return hash((self._interpreter, self._version))
class PythonInterpreter(object):
REGEXEN = (
re.compile(r'jython$'),
# NB: OSX ships python binaries named Python so we allow for capital-P.
re.compile(r'[Pp]ython$'),
re.compile(r'python[23].[0-9]$'),
re.compile(r'pypy$'),
re.compile(r'pypy-1.[0-9]$'),
)
CACHE = {} # memoize executable => PythonInterpreter
try:
# Versions of distribute prior to the setuptools merge would automatically replace
# 'setuptools' requirements with 'distribute'. It provided the 'replacement' kwarg
# to toggle this, but it was removed post-merge.
COMPATIBLE_SETUPTOOLS = Requirement.parse('setuptools>=1.0', replacement=False)
except TypeError:
COMPATIBLE_SETUPTOOLS = Requirement.parse('setuptools>=1.0')
class Error(Exception): pass
class IdentificationError(Error): pass
class InterpreterNotFound(Error): pass
@classmethod
def get(cls):
return cls.from_binary(sys.executable)
@classmethod
def all(cls, paths=None):
if paths is None:
paths = os.getenv('PATH', '').split(':')
return cls.filter(cls.find(paths))
@classmethod
def _parse_extras(cls, output_lines):
def iter_lines():
for line in output_lines:
try:
dist_name, dist_version, location = line.split()
except ValueError:
raise cls.IdentificationError('Could not identify requirement: %s' % line)
yield ((dist_name, dist_version), location)
return dict(iter_lines())
@classmethod
def _from_binary_internal(cls, path_extras):
def iter_extras():
for item in sys.path + list(path_extras):
for dist in find_distributions(item):
if dist.version:
yield ((dist.key, dist.version), dist.location)
return cls(sys.executable, PythonIdentity.get(), dict(iter_extras()))
@classmethod
def _from_binary_external(cls, binary, path_extras):
environ = cls.sanitized_environment()
environ['PYTHONPATH'] = ':'.join(path_extras)
po = subprocess.Popen(
[binary],
stdin=subprocess.PIPE,
stdout=subprocess.PIPE,
env=environ)
so, _ = po.communicate(ID_PY)
output = so.decode('utf8').splitlines()
if len(output) == 0:
raise cls.IdentificationError('Could not establish identity of %s' % binary)
identity, extras = output[0], output[1:]
return cls(
binary,
PythonIdentity.from_id_string(identity),
extras=cls._parse_extras(extras))
@classmethod
def expand_path(cls, path):
if os.path.isfile(path):
return [path]
elif os.path.isdir(path):
return [os.path.join(path, fn) for fn in os.listdir(path)]
return []
@classmethod
def from_env(cls, hashbang):
"""Resolve a PythonInterpreter as /usr/bin/env would.
:param hashbang: A string, e.g. "python3.3" representing some binary on the $PATH.
"""
paths = os.getenv('PATH', '').split(':')
for path in paths:
for fn in cls.expand_path(path):
basefile = os.path.basename(fn)
if hashbang == basefile:
try:
return cls.from_binary(fn)
except Exception as e:
TRACER.log('Could not identify %s: %s' % (fn, e))
@classmethod
def from_binary(cls, binary, path_extras=None):
path_extras = path_extras or ()
if binary not in cls.CACHE:
if binary == sys.executable:
cls.CACHE[binary] = cls._from_binary_internal(path_extras)
else:
cls.CACHE[binary] = cls._from_binary_external(binary, path_extras)
return cls.CACHE[binary]
@classmethod
def find(cls, paths):
"""
Given a list of files or directories, try to detect python interpreters amongst them.
Returns a list of PythonInterpreter objects.
"""
pythons = []
for path in paths:
for fn in cls.expand_path(path):
basefile = os.path.basename(fn)
if any(matcher.match(basefile) is not None for matcher in cls.REGEXEN):
try:
pythons.append(cls.from_binary(fn))
except Exception as e:
TRACER.log('Could not identify %s: %s' % (fn, e))
continue
return pythons
@classmethod
def filter(cls, pythons):
"""
Given a map of python interpreters in the format provided by PythonInterpreter.find(),
filter out duplicate versions and versions we would prefer not to use.
Returns a map in the same format as find.
"""
good = []
MAJOR, MINOR, SUBMINOR = range(3)
def version_filter(version):
return (version[MAJOR] == 2 and version[MINOR] >= 6 or
version[MAJOR] == 3 and version[MINOR] >= 2)
all_versions = set(interpreter.identity.version for interpreter in pythons)
good_versions = filter(version_filter, all_versions)
for version in good_versions:
# For each candidate, use the latest version we find on the filesystem.
candidates = defaultdict(list)
for interp in pythons:
if interp.identity.version == version:
candidates[interp.identity.interpreter].append(interp)
for interp_class in candidates:
candidates[interp_class].sort(
key=lambda interp: os.path.getmtime(interp.binary), reverse=True)
good.append(candidates[interp_class].pop(0))
return good
@classmethod
def sanitized_environment(cls):
# N.B. This is merely a hack because sysconfig.py on the default OS X
# installation of 2.6/2.7 breaks.
env_copy = os.environ.copy()
env_copy.pop('MACOSX_DEPLOYMENT_TARGET', None)
return env_copy
@classmethod
def replace(cls, requirement):
self = cls.get()
if self.identity.matches(requirement):
return False
for pi in cls.all():
if pi.identity.matches(requirement):
break
else:
raise cls.InterpreterNotFound('Could not find interpreter matching filter!')
os.execve(pi.binary, [pi.binary] + sys.argv, cls.sanitized_environment())
def __init__(self, binary, identity, extras=None):
"""Construct a PythonInterpreter.
You should probably PythonInterpreter.from_binary instead.
:param binary: The full path of the python binary.
:param identity: The :class:`PythonIdentity` of the PythonInterpreter.
:param extras: A mapping from (dist.key, dist.version) to dist.location
of the extras associated with this interpreter.
"""
self._binary = os.path.realpath(binary)
self._extras = extras or {}
self._identity = identity
def with_extra(self, key, version, location):
extras = self._extras.copy()
extras[(key, version)] = location
return self.__class__(self._binary, self._identity, extras)
@property
def extras(self):
return self._extras.copy()
@property
def binary(self):
return self._binary
@property
def identity(self):
return self._identity
@property
def python(self):
return self._identity.python
@property
def version(self):
return self._identity.version
@property
def version_string(self):
return str(self._identity)
def satisfies(self, capability):
if not isinstance(capability, list):
raise TypeError('Capability must be a list, got %s' % type(capability))
return not any(self.get_location(req) is None for req in capability)
def get_location(self, req):
req = maybe_requirement(req)
for dist, location in self.extras.items():
dist_name, dist_version = dist
if req.key == dist_name and dist_version in req:
return location
def __hash__(self):
return hash((self._binary, self._identity))
def __eq__(self, other):
if not isinstance(other, PythonInterpreter):
return False
return (self._binary, self._identity) == (other._binary, other._identity)
def __lt__(self, other):
if not isinstance(other, PythonInterpreter):
return False
return self.version < other.version
def __repr__(self):
return '%s(%r, %r, %r)' % (self.__class__.__name__, self._binary, self._identity, self._extras)
| apache-2.0 |
AOKP/external_chromium_org | tools/python/google/gethash_timer.py | 182 | 4366 | #!/usr/bin/env python
# Copyright (c) 2011 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.
"""Issue a series of GetHash requests to the SafeBrowsing servers and measure
the response times.
Usage:
$ ./gethash_timer.py --period=600 --samples=20 --output=resp.csv
--period (or -p): The amount of time (in seconds) to wait between GetHash
requests. Using a value of more than 300 (5 minutes) to
include the effect of DNS.
--samples (or -s): The number of requests to issue. If this parameter is not
specified, the test will run indefinitely.
--output (or -o): The path to a file where the output will be written in
CSV format: sample_number,response_code,elapsed_time_ms
"""
import getopt
import httplib
import sys
import time
_GETHASH_HOST = 'safebrowsing.clients.google.com'
_GETHASH_REQUEST = (
'/safebrowsing/gethash?client=googleclient&appver=1.0&pver=2.1')
# Global logging file handle.
g_file_handle = None
def IssueGetHash(prefix):
'''Issue one GetHash request to the safebrowsing servers.
Args:
prefix: A 4 byte value to look up on the server.
Returns:
The HTTP response code for the GetHash request.
'''
body = '4:4\n' + prefix
h = httplib.HTTPConnection(_GETHASH_HOST)
h.putrequest('POST', _GETHASH_REQUEST)
h.putheader('content-length', str(len(body)))
h.endheaders()
h.send(body)
response_code = h.getresponse().status
h.close()
return response_code
def TimedGetHash(prefix):
'''Measure the amount of time it takes to receive a GetHash response.
Args:
prefix: A 4 byte value to look up on the the server.
Returns:
A tuple of HTTP resonse code and the response time (in milliseconds).
'''
start = time.time()
response_code = IssueGetHash(prefix)
return response_code, (time.time() - start) * 1000
def RunTimedGetHash(period, samples=None):
'''Runs an experiment to measure the amount of time it takes to receive
multiple responses from the GetHash servers.
Args:
period: A floating point value that indicates (in seconds) the delay
between requests.
samples: An integer value indicating the number of requests to make.
If 'None', the test continues indefinitely.
Returns:
None.
'''
global g_file_handle
prefix = '\x50\x61\x75\x6c'
sample_count = 1
while True:
response_code, elapsed_time = TimedGetHash(prefix)
LogResponse(sample_count, response_code, elapsed_time)
sample_count += 1
if samples is not None and sample_count == samples:
break
time.sleep(period)
def LogResponse(sample_count, response_code, elapsed_time):
'''Output the response for one GetHash query.
Args:
sample_count: The current sample number.
response_code: The HTTP response code for the GetHash request.
elapsed_time: The round-trip time (in milliseconds) for the
GetHash request.
Returns:
None.
'''
global g_file_handle
output_list = (sample_count, response_code, elapsed_time)
print 'Request: %d, status: %d, elapsed time: %f ms' % output_list
if g_file_handle is not None:
g_file_handle.write(('%d,%d,%f' % output_list) + '\n')
g_file_handle.flush()
def SetupOutputFile(file_name):
'''Open a file for logging results.
Args:
file_name: A path to a file to store the output.
Returns:
None.
'''
global g_file_handle
g_file_handle = open(file_name, 'w')
def main():
period = 10
samples = None
options, args = getopt.getopt(sys.argv[1:],
's:p:o:',
['samples=', 'period=', 'output='])
for option, value in options:
if option == '-s' or option == '--samples':
samples = int(value)
elif option == '-p' or option == '--period':
period = float(value)
elif option == '-o' or option == '--output':
file_name = value
else:
print 'Bad option: %s' % option
return 1
try:
print 'Starting Timed GetHash ----------'
SetupOutputFile(file_name)
RunTimedGetHash(period, samples)
except KeyboardInterrupt:
pass
print 'Timed GetHash complete ----------'
g_file_handle.close()
if __name__ == '__main__':
sys.exit(main())
| bsd-3-clause |
srinathv/vispy | vispy/visuals/isocurve.py | 18 | 7809 | # -*- coding: utf-8 -*-
# Copyright (c) 2015, Vispy Development Team.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
from __future__ import division
import numpy as np
from .line import LineVisual
from ..color import ColorArray
from ..color.colormap import _normalize, get_colormap
from ..geometry.isocurve import isocurve
from ..testing import has_matplotlib
# checking for matplotlib
_HAS_MPL = has_matplotlib()
if _HAS_MPL:
from matplotlib import _cntr as cntr
class IsocurveVisual(LineVisual):
"""Displays an isocurve of a 2D scalar array.
Parameters
----------
data : ndarray | None
2D scalar array.
levels : ndarray, shape (Nlev,) | None
The levels at which the isocurve is constructed from "*data*".
color_lev : Color, colormap name, tuple, list or array
The color to use when drawing the line. If a list is given, it
must be of shape (Nlev), if an array is given, it must be of
shape (Nlev, ...). and provide one color per level (rgba, colorname).
clim : tuple
(min, max) limits to apply when mapping level values through a
colormap.
**kwargs : dict
Keyword arguments to pass to `LineVisual`.
Notes
-----
"""
def __init__(self, data=None, levels=None, color_lev=None, clim=None,
**kwargs):
self._data = None
self._levels = levels
self._color_lev = color_lev
self._clim = clim
self._need_color_update = True
self._need_level_update = True
self._need_recompute = True
self._X = None
self._Y = None
self._iso = None
self._level_min = None
self._data_is_uniform = False
self._lc = None
self._cl = None
self._li = None
self._connect = None
self._verts = None
kwargs['method'] = 'gl'
kwargs['antialias'] = False
LineVisual.__init__(self, **kwargs)
if data is not None:
self.set_data(data)
@property
def levels(self):
""" The threshold at which the isocurve is constructed from the
2D data.
"""
return self._levels
@levels.setter
def levels(self, levels):
self._levels = levels
self._need_level_update = True
self._need_recompute = True
self.update()
@property
def color(self):
return self._color_lev
@color.setter
def color(self, color):
self._color_lev = color
self._need_level_update = True
self._need_color_update = True
self.update()
def set_data(self, data):
""" Set the scalar array data
Parameters
----------
data : ndarray
A 2D array of scalar values. The isocurve is constructed to show
all locations in the scalar field equal to ``self.levels``.
"""
self._data = data
# if using matplotlib isoline algorithm we have to check for meshgrid
# and we can setup the tracer object here
if _HAS_MPL:
if self._X is None or self._X.T.shape != data.shape:
self._X, self._Y = np.meshgrid(np.arange(data.shape[0]),
np.arange(data.shape[1]))
self._iso = cntr.Cntr(self._X, self._Y, self._data.astype(float))
if self._clim is None:
self._clim = (data.min(), data.max())
# sanity check,
# should we raise an error here, since no isolines can be drawn?
# for now, _prepare_draw returns False if no isoline can be drawn
if self._data.min() != self._data.max():
self._data_is_uniform = False
else:
self._data_is_uniform = True
self._need_recompute = True
self.update()
def _get_verts_and_connect(self, paths):
""" retrieve vertices and connects from given paths-list
"""
verts = np.vstack(paths)
gaps = np.add.accumulate(np.array([len(x) for x in paths])) - 1
connect = np.ones(gaps[-1], dtype=bool)
connect[gaps[:-1]] = False
return verts, connect
def _compute_iso_line(self):
""" compute LineVisual vertices, connects and color-index
"""
level_index = []
connects = []
verts = []
# calculate which level are within data range
# this works for now and the existing examples, but should be tested
# thoroughly also with the data-sanity check in set_data-function
choice = np.nonzero((self.levels > self._data.min()) &
(self._levels < self._data.max()))
levels_to_calc = np.array(self.levels)[choice]
# save minimum level index
self._level_min = choice[0][0]
for level in levels_to_calc:
# if we use matplotlib isoline algorithm we need to add half a
# pixel in both (x,y) dimensions because isolines are aligned to
# pixel centers
if _HAS_MPL:
nlist = self._iso.trace(level, level, 0)
paths = nlist[:len(nlist)//2]
v, c = self._get_verts_and_connect(paths)
v += np.array([0.5, 0.5])
else:
paths = isocurve(self._data.astype(float).T, level,
extend_to_edge=True, connected=True)
v, c = self._get_verts_and_connect(paths)
level_index.append(v.shape[0])
connects.append(np.hstack((c, [False])))
verts.append(v)
self._li = np.hstack(level_index)
self._connect = np.hstack(connects)
self._verts = np.vstack(verts)
def _compute_iso_color(self):
""" compute LineVisual color from level index and corresponding color
"""
level_color = []
colors = self._lc
for i, index in enumerate(self._li):
level_color.append(np.zeros((index, 4)) +
colors[i+self._level_min])
self._cl = np.vstack(level_color)
def _levels_to_colors(self):
# computes ColorArrays for given levels
# try _color_lev as colormap, except as everything else
try:
f_color_levs = get_colormap(self._color_lev)
except:
colors = ColorArray(self._color_lev).rgba
else:
lev = _normalize(self._levels, self._clim[0], self._clim[1])
# map function expects (Nlev,1)!
colors = f_color_levs.map(lev[:, np.newaxis])
# broadcast to (nlev, 4) array
if len(colors) == 1:
colors = colors * np.ones((len(self._levels), 1))
# detect color_lev/levels mismatch and raise error
if (len(colors) != len(self._levels)):
raise TypeError("Color/level mismatch. Color must be of shape "
"(Nlev, ...) and provide one color per level")
self._lc = colors
def _prepare_draw(self, view):
if (self._data is None or self._levels is None or
self._color_lev is None or self._data_is_uniform):
return False
if self._need_level_update:
self._levels_to_colors()
self._need_level_update = False
if self._need_recompute:
self._compute_iso_line()
self._compute_iso_color()
LineVisual.set_data(self, pos=self._verts, connect=self._connect,
color=self._cl)
self._need_recompute = False
if self._need_color_update:
self._compute_iso_color()
LineVisual.set_data(self, color=self._cl)
self._need_color_update = False
return LineVisual._prepare_draw(self, view)
| bsd-3-clause |
jef-n/QGIS | python/plugins/processing/tests/SagaAlgorithmsTest.py | 36 | 6002 | # -*- coding: utf-8 -*-
"""
***************************************************************************
SagaAlgorithmsTests.py
---------------------
Date : September 2017
Copyright : (C) 2017 by Alexander Bruy
Email : alexander dot bruy at gmail dot 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 2 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************
"""
__author__ = 'Alexander Bruy'
__date__ = 'September 2017'
__copyright__ = '(C) 2017, Alexander Bruy'
import os
import nose2
import shutil
import tempfile
from qgis.core import (QgsProcessingParameterNumber,
QgsProcessingParameterDefinition,
QgsVectorLayer,
QgsApplication,
QgsFeature,
QgsGeometry,
QgsPointXY,
QgsProcessingContext,
QgsProject,
QgsProcessingFeedback,
QgsProcessingFeatureSourceDefinition)
from qgis.testing import start_app, unittest
from processing.algs.saga.SagaParameters import Parameters, SagaImageOutputParam
import AlgorithmsTestBase
class TestSagaAlgorithms(unittest.TestCase, AlgorithmsTestBase.AlgorithmsTest):
@classmethod
def setUpClass(cls):
start_app()
from processing.core.Processing import Processing
Processing.initialize()
cls.cleanup_paths = []
cls.temp_dir = tempfile.mkdtemp()
cls.cleanup_paths.append(cls.temp_dir)
@classmethod
def tearDownClass(cls):
from processing.core.Processing import Processing
Processing.deinitialize()
for path in cls.cleanup_paths:
shutil.rmtree(path)
def test_definition_file(self):
return 'saga_algorithm_tests.yaml'
def test_is_parameter_line(self):
# Test determining whether a line is a parameter line
self.assertFalse(Parameters.is_parameter_line(''))
self.assertFalse(Parameters.is_parameter_line('xxxxxxxxx'))
self.assertTrue(Parameters.is_parameter_line('QgsProcessingParameterNumber|R_PERCTL_MIN|Percentiles Range for RED max|QgsProcessingParameterNumber.Integer|1|False|1|99'))
self.assertTrue(Parameters.is_parameter_line('*QgsProcessingParameterNumber|R_PERCTL_MIN|Percentiles Range for RED max|QgsProcessingParameterNumber.Integer|1|False|1|99'))
self.assertTrue(Parameters.is_parameter_line('SagaImageOutput|RGB|Output RGB'))
def test_param_line(self):
# Test creating a parameter from a description line
param = Parameters.create_parameter_from_line('QgsProcessingParameterNumber|R_PERCTL_MIN|Percentiles Range for RED max|QgsProcessingParameterNumber.Integer|1|False|1|99')
self.assertIsInstance(param, QgsProcessingParameterNumber)
self.assertEqual(param.name(), 'R_PERCTL_MIN')
self.assertEqual(param.description(), 'Percentiles Range for RED max')
self.assertEqual(param.dataType(), QgsProcessingParameterNumber.Integer)
self.assertFalse(param.flags() & QgsProcessingParameterDefinition.FlagOptional)
self.assertEqual(param.minimum(), 1)
self.assertEqual(param.maximum(), 99)
# Test SagaImageOutputParam line
param = Parameters.create_parameter_from_line('SagaImageOutput|RGB|Output RGB')
self.assertIsInstance(param, SagaImageOutputParam)
self.assertEqual(param.name(), 'RGB')
self.assertEqual(param.description(), 'Output RGB')
self.assertEqual(param.defaultFileExtension(), 'tif')
self.assertEqual(param.supportedOutputRasterLayerExtensions(), ['tif'])
def test_non_ascii_output(self):
# create a memory layer and add to project and context
layer = QgsVectorLayer("Point?crs=epsg:3857&field=fldtxt:string&field=fldint:integer",
"testmem", "memory")
self.assertTrue(layer.isValid())
pr = layer.dataProvider()
f = QgsFeature()
f.setAttributes(["test", 123])
f.setGeometry(QgsGeometry.fromPointXY(QgsPointXY(100, 200)))
f2 = QgsFeature()
f2.setAttributes(["test2", 457])
f2.setGeometry(QgsGeometry.fromPointXY(QgsPointXY(110, 200)))
self.assertTrue(pr.addFeatures([f, f2]))
self.assertEqual(layer.featureCount(), 2)
QgsProject.instance().addMapLayer(layer)
context = QgsProcessingContext()
context.setProject(QgsProject.instance())
alg = QgsApplication.processingRegistry().createAlgorithmById('saga:fixeddistancebuffer')
self.assertIsNotNone(alg)
temp_file = os.path.join(self.temp_dir, 'non_ascii_ñññ.shp')
parameters = {'SHAPES': 'testmem',
'DIST_FIELD_DEFAULT': 5,
'NZONES': 1,
'DARC': 5,
'DISSOLVE': False,
'POLY_INNER': False,
'BUFFER': temp_file}
feedback = QgsProcessingFeedback()
results, ok = alg.run(parameters, context, feedback)
self.assertTrue(ok)
self.assertTrue(os.path.exists(temp_file))
# make sure that layer has correct features
res = QgsVectorLayer(temp_file, 'res')
self.assertTrue(res.isValid())
self.assertEqual(res.featureCount(), 2)
QgsProject.instance().removeMapLayer(layer)
if __name__ == '__main__':
nose2.main()
| gpl-2.0 |
cbare/Etudes | python/strings.py | 1 | 1543 | """
String algorithms
"""
def balanced_parens(s: str) -> bool:
open = 0
for c in s:
if c=='(': open += 1
if c==')':
if open > 0:
open -= 1
else:
return False
return open==0
assert balanced_parens('')
assert balanced_parens('()')
assert balanced_parens('((()))')
assert balanced_parens('((()()()))')
assert balanced_parens('((()()()))()(())(()())')
assert not balanced_parens('(()')
assert not balanced_parens('((())))')
assert not balanced_parens('((()())')
assert not balanced_parens('())(()')
def longest_valid_parens(s: str) -> int:
"""
return the length of the longest run of valid nested parens.
Given a string containing just the characters '(' and ')', find the length
of the longest well-formed substring.
"""
seeds = [(i,i+1) for i in range(len(s)-1) if s[i:i+2]=='()']
grew = True
while grew or merged:
grew = 0
merged = 0
# grow
for i in range(len(seeds)):
a,b = seeds[i]
if a>0 and b+1<len(s) and s[a-1]=='(' and s[b+1]==')':
grew += 1
seeds[i] = (a-1, b+1)
# merge
new_seeds = []
s0 = seeds[0]
for s1 in seeds[1:]:
if s0[1]+1==s1[0]:
merged += 1
s0 = (s0[0], s1[1])
else:
new_seeds.append(s0)
s0 = s1
new_seeds.append(s0)
seeds = new_seeds
return max(b-a+1 for a,b in seeds)
| apache-2.0 |
lorenzo-desantis/mne-python | mne/preprocessing/eog.py | 6 | 7587 | # Authors: Alexandre Gramfort <[email protected]>
# Denis Engemann <[email protected]>
# Eric Larson <[email protected]>
#
# License: BSD (3-clause)
import numpy as np
from .peak_finder import peak_finder
from .. import pick_types, pick_channels
from ..utils import logger, verbose
from ..filter import band_pass_filter
from ..epochs import Epochs
@verbose
def find_eog_events(raw, event_id=998, l_freq=1, h_freq=10,
filter_length='10s', ch_name=None, tstart=0,
verbose=None):
"""Locate EOG artifacts
Parameters
----------
raw : instance of Raw
The raw data.
event_id : int
The index to assign to found events.
l_freq : float
Low cut-off frequency in Hz.
h_freq : float
High cut-off frequency in Hz.
filter_length : str | int | None
Number of taps to use for filtering.
ch_name: str | None
If not None, use specified channel(s) for EOG
tstart : float
Start detection after tstart seconds.
verbose : bool, str, int, or None
If not None, override default verbose level (see mne.verbose).
Returns
-------
eog_events : array
Events.
"""
# Getting EOG Channel
eog_inds = _get_eog_channel_index(ch_name, raw)
logger.info('EOG channel index for this subject is: %s' % eog_inds)
eog, _ = raw[eog_inds, :]
eog_events = _find_eog_events(eog, event_id=event_id, l_freq=l_freq,
h_freq=h_freq,
sampling_rate=raw.info['sfreq'],
first_samp=raw.first_samp,
filter_length=filter_length,
tstart=tstart)
return eog_events
def _find_eog_events(eog, event_id, l_freq, h_freq, sampling_rate, first_samp,
filter_length='10s', tstart=0.):
"""Helper function"""
logger.info('Filtering the data to remove DC offset to help '
'distinguish blinks from saccades')
# filtering to remove dc offset so that we know which is blink and saccades
fmax = np.minimum(45, sampling_rate / 2.0 - 0.75) # protect Nyquist
filteog = np.array([band_pass_filter(x, sampling_rate, 2, fmax,
filter_length=filter_length)
for x in eog])
temp = np.sqrt(np.sum(filteog ** 2, axis=1))
indexmax = np.argmax(temp)
# easier to detect peaks with filtering.
filteog = band_pass_filter(eog[indexmax], sampling_rate, l_freq, h_freq,
filter_length=filter_length)
# detecting eog blinks and generating event file
logger.info('Now detecting blinks and generating corresponding events')
temp = filteog - np.mean(filteog)
n_samples_start = int(sampling_rate * tstart)
if np.abs(np.max(temp)) > np.abs(np.min(temp)):
eog_events, _ = peak_finder(filteog[n_samples_start:], extrema=1)
else:
eog_events, _ = peak_finder(filteog[n_samples_start:], extrema=-1)
eog_events += n_samples_start
n_events = len(eog_events)
logger.info("Number of EOG events detected : %d" % n_events)
eog_events = np.array([eog_events + first_samp,
np.zeros(n_events, int),
event_id * np.ones(n_events, int)]).T
return eog_events
def _get_eog_channel_index(ch_name, inst):
if isinstance(ch_name, str):
# Check if multiple EOG Channels
if ',' in ch_name:
ch_name = ch_name.split(',')
else:
ch_name = [ch_name]
eog_inds = pick_channels(inst.ch_names, include=ch_name)
if len(eog_inds) == 0:
raise ValueError('%s not in channel list' % ch_name)
else:
logger.info('Using channel %s as EOG channel%s' % (
" and ".join(ch_name),
'' if len(eog_inds) < 2 else 's'))
elif ch_name is None:
eog_inds = pick_types(inst.info, meg=False, eeg=False, stim=False,
eog=True, ecg=False, emg=False, ref_meg=False,
exclude='bads')
if len(eog_inds) == 0:
logger.info('No EOG channels found')
logger.info('Trying with EEG 061 and EEG 062')
eog_inds = pick_channels(inst.ch_names,
include=['EEG 061', 'EEG 062'])
if len(eog_inds) != 2:
raise RuntimeError('EEG 61 or EEG 62 channel not found !!')
else:
raise ValueError('Could not find EOG channel.')
return eog_inds
@verbose
def create_eog_epochs(raw, ch_name=None, event_id=998, picks=None,
tmin=-0.5, tmax=0.5, l_freq=1, h_freq=10,
reject=None, flat=None, baseline=None,
preload=True, verbose=None):
"""Conveniently generate epochs around EOG artifact events
Parameters
----------
raw : instance of Raw
The raw data
ch_name : str
The name of the channel to use for EOG peak detection.
The argument is mandatory if the dataset contains no EOG channels.
event_id : int
The index to assign to found events
picks : array-like of int | None (default)
Indices of channels to include (if None, all channels
are used).
tmin : float
Start time before event.
tmax : float
End time after event.
l_freq : float
Low pass frequency.
h_freq : float
High pass frequency.
reject : dict | None
Rejection parameters based on peak-to-peak amplitude.
Valid keys are 'grad' | 'mag' | 'eeg' | 'eog' | 'ecg'.
If reject is None then no rejection is done. Example::
reject = dict(grad=4000e-13, # T / m (gradiometers)
mag=4e-12, # T (magnetometers)
eeg=40e-6, # uV (EEG channels)
eog=250e-6 # uV (EOG channels)
)
flat : dict | None
Rejection parameters based on flatness of signal.
Valid keys are 'grad' | 'mag' | 'eeg' | 'eog' | 'ecg', and values
are floats that set the minimum acceptable peak-to-peak amplitude.
If flat is None then no rejection is done.
baseline : tuple or list of length 2, or None
The time interval to apply rescaling / baseline correction.
If None do not apply it. If baseline is (a, b)
the interval is between "a (s)" and "b (s)".
If a is None the beginning of the data is used
and if b is None then b is set to the end of the interval.
If baseline is equal ot (None, None) all the time
interval is used. If None, no correction is applied.
preload : bool
Preload epochs or not.
verbose : bool, str, int, or None
If not None, override default verbose level (see mne.verbose).
Returns
-------
eog_epochs : instance of Epochs
Data epoched around EOG events.
"""
events = find_eog_events(raw, ch_name=ch_name, event_id=event_id,
l_freq=l_freq, h_freq=h_freq)
# create epochs around EOG events
eog_epochs = Epochs(raw, events=events, event_id=event_id,
tmin=tmin, tmax=tmax, proj=False, reject=reject,
flat=flat, picks=picks, baseline=baseline,
preload=preload)
return eog_epochs
| bsd-3-clause |
ttrifonov/EventBrain | src/eventbrain/bin/launcher.py | 1 | 9958 | #!/usr/bin/env python
# file: launcher.py
import os
import sys
import logging
from optparse import OptionParser, OptionGroup
from eventbrain.util.daemon import Daemon
FORMAT = '%(asctime)-15s:%(name)s:%(process)d:%(levelname)s === %(message)s'
logging.basicConfig(format=FORMAT, level=logging.INFO, stream=sys.stdout)
usage = "Usage: %prog [options] start|stop|restart"
def set_daemonize(option, opt_str, value, parser):
parser.values.daemonize = True
parser = OptionParser(usage=usage)
parser.add_option("-t", "--type", dest="type",
help="type of object to process('actor', 'a' "
"or 'decision', 'd')")
parser.add_option("-i", "--id", dest="Id",
help="Id of the object to process")
parser.add_option("-p", "--pid-dir", dest="pid_dir",
default="/var/run/eventbrain/",
help="Directory to store pid files for daemonized objects. "
"Default path is %default")
parser.add_option("-l", "--log-file", dest="logfile", default='/dev/null',
help="File to write logs. Default is %default")
parser.add_option("-d", "--daemonize", dest="daemonize", action="callback",
callback=set_daemonize, default=False,
help="Start in daemon mode")
parser.add_option("-o", "--options", dest="opts",
default=None,
help="Additional options to send to the class constructor")
parser.add_option("-c", "--config", dest="config",
default=None,
help="Config file with initial settings. "
"If a config file is provided, "
"other parameters are ignored.")
server_opts = OptionGroup(parser, "RabbitMQ options")
server_opts.add_option("-s", "--server", dest="host", default='localhost',
help="RabbitMQ server. Default is %default")
server_opts.add_option("-u", "--user", dest="user",
help="RabbitMQ credentials: username")
server_opts.add_option("-v", "--vhost", dest="vhost",
help="RabbitMQ credentials: virtual host")
server_opts.add_option("-w", "--password", dest="password",
help="RabbitMQ credentials: password")
parser.add_option_group(server_opts)
(options, args) = parser.parse_args()
commands = ('start', 'stop', 'restart')
types = ('actor', 'a', 'decision', 'd')
command = args[0]
class DaemonRunner(Daemon):
def run(self):
print "Run"
if hasattr(options, "kwargs"):
kwargs = options.kwargs
else:
kwargs = {}
if options.opts:
for opt in options.opts.split(";"):
(k, v) = opt.split("=")
kwargs[k] = v
print "kwargs", kwargs
if options.user and options.password:
kwargs['user'] = options.user
kwargs['vhost'] = options.vhost
kwargs['password'] = options.password
if options.host:
kwargs['host'] = options.host
inst = self.klass(**kwargs)
try:
inst.connect()
except KeyboardInterrupt:
inst.disconnect(reason="keyboard interruption")
def run_actor(obj_id):
print "Starting actor %s" % obj_id
klass = _import('actors', obj_id)
print "Found actor with exchange %s" % klass.id
if options.daemonize:
daemon = DaemonRunner(pid_file('a', klass),
stdout=options.logfile,
stderr=options.logfile)
daemon.klass = klass
daemon.start()
else:
kwargs = {}
if options.user and options.password:
kwargs['user'] = options.user
kwargs['vhost'] = options.vhost
kwargs['password'] = options.password
if options.host:
kwargs['host'] = options.host
if options.opts:
for opt in options.opts.split(";"):
(k, v) = opt.split("=")
kwargs[k] = v
print "kwargs", kwargs
inst = klass(**kwargs)
try:
inst.connect()
except KeyboardInterrupt:
inst.disconnect(reason="keyboard interruption")
print "Done"
def stop_actor(obj_id):
print "Stopping actor %s" % obj_id
klass = _import('actors', obj_id)
daemon = DaemonRunner(pid_file('a', klass))
daemon.stop()
print "Done"
def run_decision(obj_id):
print "Starting decision %s" % obj_id
klass = _import('decisions', obj_id)
print "Found decision with exchange %s" % klass.id
if options.daemonize:
daemon = DaemonRunner(pid_file('d', klass),
stdout=options.logfile,
stderr=options.logfile)
daemon.klass = klass
daemon.start()
else:
kwargs = {}
if options.user and options.password:
kwargs['user'] = options.user
kwargs['vhost'] = options.vhost
kwargs['password'] = options.password
if options.host:
kwargs['host'] = options.host
if options.opts:
for opt in options.opts.split(";"):
(k, v) = opt.split("=")
kwargs[k] = v
print "kwargs", kwargs
inst = klass(**kwargs)
try:
inst.connect()
except KeyboardInterrupt:
inst.disconnect(reason="keyboard interruption")
print "Done"
def stop_decision(obj_id):
print "Stopping decision %s" % obj_id
klass = _import('decisions', obj_id)
daemon = DaemonRunner(pid_file('d', klass))
daemon.stop()
print "Done"
def pid_file(prefix, klass):
pidfile = os.path.join(options.pid_dir, "".join([prefix,
'-',
klass.id,
".pid"]))
pidfile = os.path.abspath(pidfile)
print "PID file: %s" % pidfile
return pidfile
def _import(scope, obj_id):
try:
(_mod, _klass) = obj_id.split('.')
module = __import__('eventbrain.contrib.%s.%s' % (scope,
_mod),
fromlist=[_klass])
klass = getattr(module, _klass)
except Exception, ex:
print "Cannot import class %s\n%r" % (obj_id, ex)
exit(1)
return klass
def from_config():
import ConfigParser
config = ConfigParser.RawConfigParser()
config.readfp(open(options.config))
sections = config.sections()
if config.has_section("Main"):
if config.has_option("Main", "host"):
parser.values.host = config.get("Main", "host")
if config.has_option("Main", "user"):
parser.values.user = config.get("Main", "user")
if config.has_option("Main", "password"):
parser.values.password = config.get("Main", "password")
if config.has_option("Main", "vhost"):
parser.values.vhost = config.get("Main", "vhost")
for section in sections:
print ">>> Found section ", section
if section == "Main":
continue
else:
# Fork to avoid exiting from main thread after daemonizing
fpid = os.fork()
if fpid != 0:
process_section(config, section)
exit(0)
else:
continue
return True
def process_section(config, section):
if config.has_option(section, "type"):
_type = config.get(section, "type")
if _type not in types:
print "Unrecognized type: %s" % _type
return False
kwargs = {}
for item in config.items(section):
if item[0] == "daemonize":
parser.values.daemonize = config.getboolean(section,
"daemonize")
elif item[0] == "pid_dir":
parser.values.pid_dir = item[1]
elif item[0] == "log_file":
parser.values.logfile = item[1]
else:
kwargs[item[0]] = item[1]
print "kwargs", kwargs
parser.values.kwargs = kwargs
if _type in ('actor', 'a'):
if command == "start":
run_actor(section)
elif command == "stop":
stop_actor(section)
elif command == "restart":
stop_actor(section)
run_actor(section)
elif _type in ('decision', 'd'):
if command == "start":
run_decision(section)
elif command == "stop":
stop_decision(section)
elif command == "restart":
stop_decision(section)
run_decision(section)
if __name__ == "__main__":
if options.config:
if from_config():
exit(0)
else:
exit(1)
if not options.type:
print "Type not specified"
exit(1)
if options.type not in types:
print "Unrecognized type: %s" % options.type
exit(1)
if not options.Id:
print "Id not specified"
exit(1)
if not args or args[0] not in commands:
print "Unknown command %s" % ",".join(args)
exit(1)
if options.type in ('actor', 'a'):
# Actor
if command == "start":
run_actor(options.Id)
elif command == "stop":
stop_actor(options.Id)
elif command == "restart":
stop_actor(options.Id)
run_actor(options.Id)
if options.type in ('decision', 'd'):
# Decision
if command == "start":
run_decision(options.Id)
elif command == "stop":
stop_decision(options.Id)
elif command == "restart":
stop_decision(options.Id)
run_decision(options.Id)
| apache-2.0 |
dhalleine/tensorflow | tensorflow/contrib/distributions/python/kernel_tests/exponential_test.py | 3 | 4546 | # 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 initializers."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from scipy import stats
import tensorflow as tf
class ExponentialTest(tf.test.TestCase):
def testExponentialLogPDF(self):
with tf.Session():
batch_size = 6
lam = tf.constant([2.0] * batch_size)
lam_v = 2.0
x = np.array([2.5, 2.5, 4.0, 0.1, 1.0, 2.0], dtype=np.float32)
exponential = tf.contrib.distributions.Exponential(lam=lam)
expected_log_pdf = stats.expon.logpdf(x, scale=1 / lam_v)
log_pdf = exponential.log_pdf(x)
self.assertEqual(log_pdf.get_shape(), (6,))
self.assertAllClose(log_pdf.eval(), expected_log_pdf)
pdf = exponential.pdf(x)
self.assertEqual(pdf.get_shape(), (6,))
self.assertAllClose(pdf.eval(), np.exp(expected_log_pdf))
def testExponentialCDF(self):
with tf.Session():
batch_size = 6
lam = tf.constant([2.0] * batch_size)
lam_v = 2.0
x = np.array([2.5, 2.5, 4.0, 0.1, 1.0, 2.0], dtype=np.float32)
exponential = tf.contrib.distributions.Exponential(lam=lam)
expected_cdf = stats.expon.cdf(x, scale=1 / lam_v)
cdf = exponential.cdf(x)
self.assertEqual(cdf.get_shape(), (6,))
self.assertAllClose(cdf.eval(), expected_cdf)
def testExponentialMean(self):
with tf.Session():
lam_v = np.array([1.0, 4.0, 2.5])
expected_mean = stats.expon.mean(scale=1 / lam_v)
exponential = tf.contrib.distributions.Exponential(lam=lam_v)
self.assertEqual(exponential.mean().get_shape(), (3,))
self.assertAllClose(exponential.mean().eval(), expected_mean)
def testExponentialVariance(self):
with tf.Session():
lam_v = np.array([1.0, 4.0, 2.5])
expected_variance = stats.expon.var(scale=1 / lam_v)
exponential = tf.contrib.distributions.Exponential(lam=lam_v)
self.assertEqual(exponential.variance().get_shape(), (3,))
self.assertAllClose(exponential.variance().eval(), expected_variance)
def testExponentialEntropy(self):
with tf.Session():
lam_v = np.array([1.0, 4.0, 2.5])
expected_entropy = stats.expon.entropy(scale=1 / lam_v)
exponential = tf.contrib.distributions.Exponential(lam=lam_v)
self.assertEqual(exponential.entropy().get_shape(), (3,))
self.assertAllClose(exponential.entropy().eval(), expected_entropy)
def testExponentialSample(self):
with self.test_session():
lam = tf.constant([3.0, 4.0])
lam_v = [3.0, 4.0]
n = tf.constant(100000)
exponential = tf.contrib.distributions.Exponential(lam=lam)
samples = exponential.sample(n, seed=137)
sample_values = samples.eval()
self.assertEqual(sample_values.shape, (100000, 2))
self.assertFalse(np.any(sample_values < 0.0))
for i in range(2):
self.assertLess(
stats.kstest(
sample_values[:, i], stats.expon(scale=1.0/lam_v[i]).cdf)[0],
0.01)
def testExponentialSampleMultiDimensional(self):
with self.test_session():
batch_size = 2
lam_v = [3.0, 22.0]
lam = tf.constant([lam_v] * batch_size)
exponential = tf.contrib.distributions.Exponential(lam=lam)
n = 100000
samples = exponential.sample(n, seed=138)
self.assertEqual(samples.get_shape(), (n, batch_size, 2))
sample_values = samples.eval()
self.assertFalse(np.any(sample_values < 0.0))
for i in range(2):
self.assertLess(
stats.kstest(
sample_values[:, 0, i], stats.expon(scale=1.0/lam_v[i]).cdf)[0],
0.01)
self.assertLess(
stats.kstest(
sample_values[:, 1, i], stats.expon(scale=1.0/lam_v[i]).cdf)[0],
0.01)
if __name__ == '__main__':
tf.test.main()
| apache-2.0 |
BraveSirRobbo/steam-scraper | test.py | 1 | 4225 | import unittest
from bs4 import BeautifulSoup
import re
def justOne(ls):
assert(len(ls) == 1)
return ls[0]
def scrapePage(html_doc):
soup = BeautifulSoup(html_doc, 'html.parser')
ratings = [s.get_text() for s in soup.find_all("span",attrs={ "class": re.compile(r"game_review_summary .*")})]
assert(len(ratings) != 1)
reviewCounts = [x.attrs["content"] for x in soup.find_all("meta",attrs={"itemprop":"reviewCount"})]
aList = [t.get_text() for t in soup.find_all("div",class_="game_area_details_specs")]
def tagChecker(*things):
for thing in things:
if thing in aList:
return True
return False
return { "title":
justOne(soup.find_all("div",class_="apphub_AppName")).get_text()
, "overall_rating" :
ratings[1] if len(ratings) > 0 else None
, "num_reviews" :
reviewCounts[0] if len(reviewCounts) > 0 else None
, "release_year" :
justOne(soup.find_all("span",class_="date")).get_text()[-4:]
, "user_tags" :
[x.get_text().strip() for x in justOne(soup.find_all("div",class_="glance_tags popular_tags")).find_all("a")]
, "multiplayer" :
tagChecker("Multi-player")
, "co-op" :
tagChecker("Co-op")
, "local_multiplayer" :
tagChecker("Shared/Split Screen")
, "steam_cloud" :
tagChecker("Steam Cloud")
, "controller_supported" :
tagChecker("Full controller support", "Partial Controller Support")
}
class ScraperTests(unittest.TestCase):
def assertKeyValue(self, d, key, value):
self.assertIn(key, d)
self.assertEqual(d[key], value)
def test_example_page(self):
with open("examples/Age of Wonders III on Steam.html", "r") as f:
page_text = "".join(f.readlines())
res = scrapePage(page_text)
self.assertKeyValue(res, "title", "Age of Wonders III")
self.assertKeyValue(res, "overall_rating", "Very Positive")
self.assertKeyValue(res, "num_reviews", "3504")
self.assertKeyValue(res, "release_year","2014") #from class "release_date"
self.assertKeyValue(res, "user_tags", ['Strategy', 'Turn-Based Strategy', 'Fantasy', 'RPG', '4X', 'Turn-Based', 'Multiplayer', 'Singleplayer', 'Tactical', 'Co-op', 'Adventure', 'Hex Grid', 'Great Soundtrack', 'Grand Strategy', 'Classic', 'Atmospheric', 'Moddable', 'Action', 'Female Protagonist', 'Indie']) #from class "glance_tags popular_tags"
self.assertKeyValue(res, "multiplayer", True) #"Multi-Player" from class "game_area_details_specs"
self.assertKeyValue(res, "co-op", True) #"Co-op" from class "game_area_details_specs"
self.assertKeyValue(res, "local_multiplayer", True) #"Shared/Split Screen" from class "game_area_details_specs"
self.assertKeyValue(res, "steam_cloud", True) #Cross-Platform Multiplayer from class "game_area_details_specs"
self.assertKeyValue(res, "controller_supported", False) #Full OR Partial Controller Support from class "game_area_details_specs"
def test_no_recent_reviews(self):
with open("examples/No Recent Reviews.html") as f:
page_text = "".join(f.readlines())
res = scrapePage(page_text)
self.assertKeyValue(res,"overall_rating", "Very Positive")
def test_no_reviews(self):
with open("examples/No Reviews.html") as f:
page_text = "".join(f.readlines())
res = scrapePage(page_text)
self.assertKeyValue(res,"overall_rating", None)
self.assertKeyValue(res,"num_reviews", None)
# TODO: Real implementation
def filterGames(ls,q):
return [ls[0]]
# TODO: This is just a silly example
class FilterTests(unittest.TestCase):
def test_basic_filter(self):
examples = [ {"title" : "blah", "overall_rating" : "Very Positive"}
, {"title" : "bad", "overall_rating" : "Very Negative"} ]
# TODO: Will - Do you have ideas about the form of the query input to the filter
q = "overall_rating > Ok"
self.assertEqual(filterGames(examples, q),
[ {"title" : "blah", "overall_rating" : "Very Positive"} ])
if __name__ =="__main__":
unittest.main()
| apache-2.0 |
felipeAraujo/Bet-Calculator | test_bet.py | 1 | 13680 | import unittest
from bet_calculator.bet_calculator import Bet_Calculator
from decimal import *
class Bet_Test_Case(unittest.TestCase):
"""Test the Bet_Calculator class"""
def setUp(self):
self.bet_calculator = Bet_Calculator()
def test_if_is_calculating_that_odds_will_profit(self):
"""
Just remember that to be profit te quotation in houses
must follow the equation:
d1 => decimal 1 in one bet house,
d2 => decimal 2 in other bet house
1
________ < (d2-1)
(d1 - 1)
"""
# Testing edge cases
# Just remember 1.33333...4 is not a the reapeating decimal
# 1.33333.... and is bigger than it so it's an edge case
self.bet_calculator.decimal_team1_house1 = '1.333333333333333334'
self.bet_calculator.decimal_team2_house2 = '4.0'
# put in the edge to be more sure that is calculating
# correctly
self.bet_calculator.decimal_team1_house2 = '3.0000000001'
self.bet_calculator.decimal_team2_house1 = '1.5'
self.assertTrue(self.bet_calculator.can_bet_team1_house1)
self.assertTrue(self.bet_calculator.can_bet_team1_house2)
# Testing normal cases
self.bet_calculator.decimal_team1_house1 = '1.5'
self.bet_calculator.decimal_team2_house2 = '4.0'
self.bet_calculator.decimal_team1_house2 = '3.0'
self.bet_calculator.decimal_team2_house1 = '1.8'
self.assertTrue(self.bet_calculator.can_bet_team1_house1)
self.assertTrue(self.bet_calculator.can_bet_team1_house2)
def test_if_is_calculating_that_odds_will_not_profit(self):
"""
Just remember that to not be profit te quotation in houses
must follow the equation:
d1 => decimal 1 in one bet house,
d2 => decimal 2 in other bet house
1
________ >= (d2-1)
(d1 - 1)
"""
# Testing Edge Cases
# Just remember 1.333333333333333333 is not a the reapeating decimal
# 1.33333.... and is smaller than it so it's an edge case
self.bet_calculator.decimal_team1_house1 = '1.333333333333333333'
self.bet_calculator.decimal_team2_house2 = '4.0'
# put in the edge to be more sure that is calculating
# correctly
self.bet_calculator.decimal_team1_house2 = '2.999999999999999999'
self.bet_calculator.decimal_team2_house1 = '1.5'
self.assertFalse(self.bet_calculator.can_bet_team1_house1)
self.assertFalse(self.bet_calculator.can_bet_team1_house2)
# Testing Normal Cases
self.bet_calculator.decimal_team1_house1 = '1.3'
self.bet_calculator.decimal_team2_house2 = '1.5'
# put in the edge to be more sure that is calculating
# correctly
self.bet_calculator.decimal_team1_house2 = '1.01'
self.bet_calculator.decimal_team2_house1 = '3'
self.assertFalse(self.bet_calculator.can_bet_team1_house1)
self.assertFalse(self.bet_calculator.can_bet_team1_house2)
def test_cash_made_when_you_profit(self):
"""
Will be inserted some odds, and they don't need to profit
the Profit equation is simple:
d1 => decimal in team1
d2 => decimal in team 2,
tm => total money spent in your gamble
m1 => (money spent on team1) part of the tm you spent in team1 (It's obvious you spent tm-m1 in team2)
m2 => (money spent on team2) part of the tm you spent in team2 = tm-m1
cashMade => ?
you will win the following cash if team1 wins:
cashMade = m1 x d1 - tm
and if team2 wins the cashMade will be:
cashMade = m2 x d2 - tm
"""
self.bet_calculator.cash_to_bet = '200' # tm in the equation
self.bet_calculator.decimal_team1_house1 = '1.2'
self.bet_calculator.decimal_team2_house2 = '6.5'
self.bet_calculator.decimal_team1_house2 = '1.4'
self.bet_calculator.decimal_team2_house1 = '4.5'
# 180.43 x 1.2 = 216.516 =...> 216.516 - 200 = 16.516
self.assertEqual(self.bet_calculator.profit_if_team1_wins('180.43', bet_team1_house1 = True) , Decimal('16.516'))
# 150.75 x 1.4 = 211.05 =...> 211.05 - 200 = 11.05
self.assertEqual(self.bet_calculator.profit_if_team1_wins('150.75', bet_team1_house1 = False) , Decimal('11.05'))
# 35 x 6.5 = 227.5 =...> 227.5 - 200 = 27.05
# If you bet team1 in house 1 you bet team2 in house 2
self.assertEqual(self.bet_calculator.profit_if_team2_wins('35', bet_team1_house1 = True) , Decimal('27.5'))
# 64.41 x 4.5 = 289.845 =...> 289.845 - 200 = 89.845
# If you don't bet team1 in house 1 you bet team2 in house 1
self.assertEqual(self.bet_calculator.profit_if_team2_wins('64.41', bet_team1_house1 = False) , Decimal('89.845'))
def test_cash_made_when_you_lose(self):
"""
Will be inserted some odds, and they don't need to profit
the Profit equation is simple:
d1 => decimal in team1
d2 => decimal in team 2,
tm => total money spent in your gamble
m1 => (money spent on team1) part of the tm you spent in team1 (It's obvious you spent tm-m1 in team2)
m2 => (money spent on team2) part of the tm you spent in team2 = tm-m1
cashMade => ?
you will win the following cash if team1 wins:
cashMade = m1 x d1 - tm
and if team2 wins the cashMade will be:
cashMade = m2 x d2 - tm
So, if tm is bigger than m1 x d1, or m2 x d2 you will lose money if team1 or team2 win. So the result
will be negative
"""
self.bet_calculator.cash_to_bet = '200' # tm in the equation
self.bet_calculator.decimal_team1_house1 = '1.5'
self.bet_calculator.decimal_team2_house2 = '3.2'
self.bet_calculator.decimal_team1_house2 = '1.7'
self.bet_calculator.decimal_team2_house1 = '2.2'
# 50.54 x 1.5 = 75.81 =...> 75.81 - 200 = -124.19
self.assertEqual(self.bet_calculator.profit_if_team1_wins('50.54', bet_team1_house1 = True) , Decimal('-124.19'))
# 81.56 x 1.7 = 138.652 =...> 138.652 - 200 = -61.348
self.assertEqual(self.bet_calculator.profit_if_team1_wins('81.56', bet_team1_house1 = False) , Decimal('-61.348'))
# 55.17 x 3.2 = 176.544 =...> 176.544 - 200 = -23.456 (it was coincidence :) )
# If you bet team1 in house 1 you bet team2 in house 2
self.assertEqual(self.bet_calculator.profit_if_team2_wins('55.17', bet_team1_house1 = True) , Decimal('-23.456'))
# 85.42 x 2.2 = 187.924 =...> 187.924 - 200 = -12.076
# If you don't bet team1 in house 1 you bet team2 in house 1
self.assertEqual(self.bet_calculator.profit_if_team2_wins('85.42', bet_team1_house1 = False) , Decimal('-12.076'))
def test_cash_made_when_you_bet_more_than_total_cash(self):
"""
We don't have to see the all equation. But if you
bet in one team more than total cash you said
it was supposed to have an exception
"""
self.bet_calculator.cash_to_bet = '200' # tm in the equation
# these informations don't matter --------------
self.bet_calculator.decimal_team1_house1 = '1.5'
self.bet_calculator.decimal_team2_house2 = '3.2'
self.bet_calculator.decimal_team1_house2 = '1.7'
self.bet_calculator.decimal_team2_house1 = '2.2'
# ----------------------------------------------
# Edge Case
self.assertRaises(Exception, self.bet_calculator.profit_if_team1_wins, '200.000000000000001', bet_team1_house1 = True)
self.assertRaises(Exception, self.bet_calculator.profit_if_team1_wins, '200.000000000000001', bet_team1_house1 = False)
self.assertRaises(Exception, self.bet_calculator.profit_if_team2_wins, '200.000000000000001', bet_team1_house1 = True)
self.assertRaises(Exception, self.bet_calculator.profit_if_team2_wins, '200.000000000000001', bet_team1_house1 = False)
# Normal Case
self.assertRaises(Exception, self.bet_calculator.profit_if_team1_wins, '205', bet_team1_house1 = True)
self.assertRaises(Exception, self.bet_calculator.profit_if_team1_wins, '301', bet_team1_house1 = False)
self.assertRaises(Exception, self.bet_calculator.profit_if_team2_wins, '400', bet_team1_house1 = True)
self.assertRaises(Exception, self.bet_calculator.profit_if_team2_wins, '405', bet_team1_house1 = False)
def test_calc_of_least_guaranteed_profit_when_team1_wins(self):
"""
Test if team 1 wins, I will get the least possible profit (it will be 0, because
we want to assure any loses).
The least possible profit that you ensure no loses if team 1 wins, if
that occurs you will maintain the same mone you bet at the principle
Ps: Always remember that if the result of the match is draw you
will lose everything
You have to have in mind that you have to bet at least to guarantee
the return of your total money back.
The following equation must be followed to get your money back without loses:
d1 = decimal in team1
tm = total money invested (in team1 and team2)
m1 = How much I should spend in team1 without lose the tm I Invested => ?
tm
if d1 x m1 = tm => m1 = _________
d1
"""
self.bet_calculator.cash_to_bet = '200' # tm in the equation
self.bet_calculator.decimal_team1_house1 = '1.5'
self.bet_calculator.decimal_team2_house2 = '3.2'
self.bet_calculator.decimal_team1_house2 = '1.7'
self.bet_calculator.decimal_team2_house1 = '2.5'
# Because the real result is 133.3333333..., we need to quantize to 5 (don't have to be exactly 5)
# decimal points to ensure the result will be followed
self.assertEqual(
self.bet_calculator.least_possible_value_team1(bet_team1_house1 = True).quantize(Decimal('0.00001')),
Decimal('133.33333')
)
# Because the real result is 117.6470588235294..., we need to quantize to 5 (don't have to be exactly 5)
# decimal points to ensure the result will be followed
self.assertEqual(
self.bet_calculator.least_possible_value_team1(bet_team1_house1 = False).quantize(Decimal('0.00001')),
Decimal('117.64706')
)
def test_calc_of_least_guaranteed_profit_when_team1_wins_when_the_decimals_dont_profit(self):
"""
In this situation, when the decimals don't profit
it will raise Exception, because there is no guaranteed
pair of Bets
Ps: If the result of the match is draw you will lose
everything
"""
self.bet_calculator.cash_to_bet = '200' # tm in the equation
self.bet_calculator.decimal_team1_house1 = '1.5'
self.bet_calculator.decimal_team2_house2 = '1.8'
self.bet_calculator.decimal_team1_house2 = '1.01'
self.bet_calculator.decimal_team2_house1 = '10.999999999'
self.assertRaises(Exception, self.bet_calculator.least_possible_value_team1, bet_team1_house1 = True)
self.assertRaises(Exception, self.bet_calculator.least_possible_value_team1, bet_team1_house1 = False)
def test_calc_of_biggest_guaranteed_profit_if_team1_wins(self):
"""
Test if team1 wins I will win the most profitable bet
in this situation without having lost if team2 wins.
Ps: Always remember that if the result of the match is draw you
will lose everything
With this situation in mind, the equation is...
d2 = decimal in team2
tm = total money invested (in team1 and team2)
m2 = How much I shoud spend in team2 without lose the tm I Invested => ?
tm
m2 = __________ (The same as I did in the previous test with d1 and m1)
d2
m1 = How much I should spend in team1 having in mind that
if team1 wins I Will have that most profitable bet => ?
Be sure, that when I ensure that I will have no lost if team2 wins,
we will use the max money I could spent in team1, so this bet
ensure that I will have the most profitable return if team1 wins
so:
tm
m1 = tm - _________ OR tm - m2
d2
"""
self.bet_calculator.cash_to_bet = '200' # tm in the equation
self.bet_calculator.decimal_team1_house1 = '1.3'
self.bet_calculator.decimal_team2_house2 = '4.5'
self.bet_calculator.decimal_team1_house2 = '1.9'
self.bet_calculator.decimal_team2_house1 = '2.6'
# Because the real result is 155.55555..., we need to quantize to 5 (don't have to be exactly 5)
# decimal points to ensure the result will be followed
self.assertEqual(
self.bet_calculator.biggest_possible_value_team1(bet_team1_house1 = True).quantize(Decimal('0.00001')),
Decimal('155.55556')
)
# Because the real result is 123.0769230769..., we need to quantize to 5 (don't have to be exactly 5)
# decimal points to ensure the result will be followed
self.assertEqual(
self.bet_calculator.biggest_possible_value_team1(bet_team1_house1 = False).quantize(Decimal('0.00001')),
Decimal('123.07692')
)
if __name__ == '__main__':
unittest.main()
| mit |
zoyanhui/flask | tests/test_templating.py | 148 | 13057 | # -*- coding: utf-8 -*-
"""
tests.templating
~~~~~~~~~~~~~~~~
Template functionality
:copyright: (c) 2015 by Armin Ronacher.
:license: BSD, see LICENSE for more details.
"""
import pytest
import flask
import logging
from jinja2 import TemplateNotFound
def test_context_processing():
app = flask.Flask(__name__)
@app.context_processor
def context_processor():
return {'injected_value': 42}
@app.route('/')
def index():
return flask.render_template('context_template.html', value=23)
rv = app.test_client().get('/')
assert rv.data == b'<p>23|42'
def test_original_win():
app = flask.Flask(__name__)
@app.route('/')
def index():
return flask.render_template_string('{{ config }}', config=42)
rv = app.test_client().get('/')
assert rv.data == b'42'
def test_request_less_rendering():
app = flask.Flask(__name__)
app.config['WORLD_NAME'] = 'Special World'
@app.context_processor
def context_processor():
return dict(foo=42)
with app.app_context():
rv = flask.render_template_string('Hello {{ config.WORLD_NAME }} '
'{{ foo }}')
assert rv == 'Hello Special World 42'
def test_standard_context():
app = flask.Flask(__name__)
app.secret_key = 'development key'
@app.route('/')
def index():
flask.g.foo = 23
flask.session['test'] = 'aha'
return flask.render_template_string('''
{{ request.args.foo }}
{{ g.foo }}
{{ config.DEBUG }}
{{ session.test }}
''')
rv = app.test_client().get('/?foo=42')
assert rv.data.split() == [b'42', b'23', b'False', b'aha']
def test_escaping():
text = '<p>Hello World!'
app = flask.Flask(__name__)
@app.route('/')
def index():
return flask.render_template('escaping_template.html', text=text,
html=flask.Markup(text))
lines = app.test_client().get('/').data.splitlines()
assert lines == [
b'<p>Hello World!',
b'<p>Hello World!',
b'<p>Hello World!',
b'<p>Hello World!',
b'<p>Hello World!',
b'<p>Hello World!'
]
def test_no_escaping():
text = '<p>Hello World!'
app = flask.Flask(__name__)
@app.route('/')
def index():
return flask.render_template('non_escaping_template.txt', text=text,
html=flask.Markup(text))
lines = app.test_client().get('/').data.splitlines()
assert lines == [
b'<p>Hello World!',
b'<p>Hello World!',
b'<p>Hello World!',
b'<p>Hello World!',
b'<p>Hello World!',
b'<p>Hello World!',
b'<p>Hello World!',
b'<p>Hello World!'
]
def test_escaping_without_template_filename():
app = flask.Flask(__name__)
with app.test_request_context():
assert flask.render_template_string(
'{{ foo }}', foo='<test>') == '<test>'
assert flask.render_template('mail.txt', foo='<test>') == \
'<test> Mail'
def test_macros():
app = flask.Flask(__name__)
with app.test_request_context():
macro = flask.get_template_attribute('_macro.html', 'hello')
assert macro('World') == 'Hello World!'
def test_template_filter():
app = flask.Flask(__name__)
@app.template_filter()
def my_reverse(s):
return s[::-1]
assert 'my_reverse' in app.jinja_env.filters.keys()
assert app.jinja_env.filters['my_reverse'] == my_reverse
assert app.jinja_env.filters['my_reverse']('abcd') == 'dcba'
def test_add_template_filter():
app = flask.Flask(__name__)
def my_reverse(s):
return s[::-1]
app.add_template_filter(my_reverse)
assert 'my_reverse' in app.jinja_env.filters.keys()
assert app.jinja_env.filters['my_reverse'] == my_reverse
assert app.jinja_env.filters['my_reverse']('abcd') == 'dcba'
def test_template_filter_with_name():
app = flask.Flask(__name__)
@app.template_filter('strrev')
def my_reverse(s):
return s[::-1]
assert 'strrev' in app.jinja_env.filters.keys()
assert app.jinja_env.filters['strrev'] == my_reverse
assert app.jinja_env.filters['strrev']('abcd') == 'dcba'
def test_add_template_filter_with_name():
app = flask.Flask(__name__)
def my_reverse(s):
return s[::-1]
app.add_template_filter(my_reverse, 'strrev')
assert 'strrev' in app.jinja_env.filters.keys()
assert app.jinja_env.filters['strrev'] == my_reverse
assert app.jinja_env.filters['strrev']('abcd') == 'dcba'
def test_template_filter_with_template():
app = flask.Flask(__name__)
@app.template_filter()
def super_reverse(s):
return s[::-1]
@app.route('/')
def index():
return flask.render_template('template_filter.html', value='abcd')
rv = app.test_client().get('/')
assert rv.data == b'dcba'
def test_add_template_filter_with_template():
app = flask.Flask(__name__)
def super_reverse(s):
return s[::-1]
app.add_template_filter(super_reverse)
@app.route('/')
def index():
return flask.render_template('template_filter.html', value='abcd')
rv = app.test_client().get('/')
assert rv.data == b'dcba'
def test_template_filter_with_name_and_template():
app = flask.Flask(__name__)
@app.template_filter('super_reverse')
def my_reverse(s):
return s[::-1]
@app.route('/')
def index():
return flask.render_template('template_filter.html', value='abcd')
rv = app.test_client().get('/')
assert rv.data == b'dcba'
def test_add_template_filter_with_name_and_template():
app = flask.Flask(__name__)
def my_reverse(s):
return s[::-1]
app.add_template_filter(my_reverse, 'super_reverse')
@app.route('/')
def index():
return flask.render_template('template_filter.html', value='abcd')
rv = app.test_client().get('/')
assert rv.data == b'dcba'
def test_template_test():
app = flask.Flask(__name__)
@app.template_test()
def boolean(value):
return isinstance(value, bool)
assert 'boolean' in app.jinja_env.tests.keys()
assert app.jinja_env.tests['boolean'] == boolean
assert app.jinja_env.tests['boolean'](False)
def test_add_template_test():
app = flask.Flask(__name__)
def boolean(value):
return isinstance(value, bool)
app.add_template_test(boolean)
assert 'boolean' in app.jinja_env.tests.keys()
assert app.jinja_env.tests['boolean'] == boolean
assert app.jinja_env.tests['boolean'](False)
def test_template_test_with_name():
app = flask.Flask(__name__)
@app.template_test('boolean')
def is_boolean(value):
return isinstance(value, bool)
assert 'boolean' in app.jinja_env.tests.keys()
assert app.jinja_env.tests['boolean'] == is_boolean
assert app.jinja_env.tests['boolean'](False)
def test_add_template_test_with_name():
app = flask.Flask(__name__)
def is_boolean(value):
return isinstance(value, bool)
app.add_template_test(is_boolean, 'boolean')
assert 'boolean' in app.jinja_env.tests.keys()
assert app.jinja_env.tests['boolean'] == is_boolean
assert app.jinja_env.tests['boolean'](False)
def test_template_test_with_template():
app = flask.Flask(__name__)
@app.template_test()
def boolean(value):
return isinstance(value, bool)
@app.route('/')
def index():
return flask.render_template('template_test.html', value=False)
rv = app.test_client().get('/')
assert b'Success!' in rv.data
def test_add_template_test_with_template():
app = flask.Flask(__name__)
def boolean(value):
return isinstance(value, bool)
app.add_template_test(boolean)
@app.route('/')
def index():
return flask.render_template('template_test.html', value=False)
rv = app.test_client().get('/')
assert b'Success!' in rv.data
def test_template_test_with_name_and_template():
app = flask.Flask(__name__)
@app.template_test('boolean')
def is_boolean(value):
return isinstance(value, bool)
@app.route('/')
def index():
return flask.render_template('template_test.html', value=False)
rv = app.test_client().get('/')
assert b'Success!' in rv.data
def test_add_template_test_with_name_and_template():
app = flask.Flask(__name__)
def is_boolean(value):
return isinstance(value, bool)
app.add_template_test(is_boolean, 'boolean')
@app.route('/')
def index():
return flask.render_template('template_test.html', value=False)
rv = app.test_client().get('/')
assert b'Success!' in rv.data
def test_add_template_global():
app = flask.Flask(__name__)
@app.template_global()
def get_stuff():
return 42
assert 'get_stuff' in app.jinja_env.globals.keys()
assert app.jinja_env.globals['get_stuff'] == get_stuff
assert app.jinja_env.globals['get_stuff'](), 42
with app.app_context():
rv = flask.render_template_string('{{ get_stuff() }}')
assert rv == '42'
def test_custom_template_loader():
class MyFlask(flask.Flask):
def create_global_jinja_loader(self):
from jinja2 import DictLoader
return DictLoader({'index.html': 'Hello Custom World!'})
app = MyFlask(__name__)
@app.route('/')
def index():
return flask.render_template('index.html')
c = app.test_client()
rv = c.get('/')
assert rv.data == b'Hello Custom World!'
def test_iterable_loader():
app = flask.Flask(__name__)
@app.context_processor
def context_processor():
return {'whiskey': 'Jameson'}
@app.route('/')
def index():
return flask.render_template(
['no_template.xml', # should skip this one
'simple_template.html', # should render this
'context_template.html'],
value=23)
rv = app.test_client().get('/')
assert rv.data == b'<h1>Jameson</h1>'
def test_templates_auto_reload():
# debug is False, config option is None
app = flask.Flask(__name__)
assert app.debug is False
assert app.config['TEMPLATES_AUTO_RELOAD'] is None
assert app.jinja_env.auto_reload is False
# debug is False, config option is False
app = flask.Flask(__name__)
app.config['TEMPLATES_AUTO_RELOAD'] = False
assert app.debug is False
assert app.jinja_env.auto_reload is False
# debug is False, config option is True
app = flask.Flask(__name__)
app.config['TEMPLATES_AUTO_RELOAD'] = True
assert app.debug is False
assert app.jinja_env.auto_reload is True
# debug is True, config option is None
app = flask.Flask(__name__)
app.config['DEBUG'] = True
assert app.config['TEMPLATES_AUTO_RELOAD'] is None
assert app.jinja_env.auto_reload is True
# debug is True, config option is False
app = flask.Flask(__name__)
app.config['DEBUG'] = True
app.config['TEMPLATES_AUTO_RELOAD'] = False
assert app.jinja_env.auto_reload is False
# debug is True, config option is True
app = flask.Flask(__name__)
app.config['DEBUG'] = True
app.config['TEMPLATES_AUTO_RELOAD'] = True
assert app.jinja_env.auto_reload is True
def test_template_loader_debugging(test_apps):
from blueprintapp import app
called = []
class _TestHandler(logging.Handler):
def handle(x, record):
called.append(True)
text = str(record.msg)
assert '1: trying loader of application "blueprintapp"' in text
assert ('2: trying loader of blueprint "admin" '
'(blueprintapp.apps.admin)') in text
assert ('trying loader of blueprint "frontend" '
'(blueprintapp.apps.frontend)') in text
assert 'Error: the template could not be found' in text
assert ('looked up from an endpoint that belongs to '
'the blueprint "frontend"') in text
assert 'See http://flask.pocoo.org/docs/blueprints/#templates' in text
with app.test_client() as c:
try:
old_load_setting = app.config['EXPLAIN_TEMPLATE_LOADING']
old_handlers = app.logger.handlers[:]
app.logger.handlers = [_TestHandler()]
app.config['EXPLAIN_TEMPLATE_LOADING'] = True
with pytest.raises(TemplateNotFound) as excinfo:
c.get('/missing')
assert 'missing_template.html' in str(excinfo.value)
finally:
app.logger.handlers[:] = old_handlers
app.config['EXPLAIN_TEMPLATE_LOADING'] = old_load_setting
assert len(called) == 1
def test_custom_jinja_env():
class CustomEnvironment(flask.templating.Environment):
pass
class CustomFlask(flask.Flask):
jinja_environment = CustomEnvironment
app = CustomFlask(__name__)
assert isinstance(app.jinja_env, CustomEnvironment)
| bsd-3-clause |
eljost/pysisyphus | deprecated/tests/test_dynamics/test_dynamics.py | 1 | 2531 | from matplotlib.patches import Circle
import matplotlib.pyplot as plt
import numpy as np
import pytest
from pysisyphus.calculators.AnaPot import AnaPot
from pysisyphus.dynamics.velocity_verlet import md
def test_velocity_verlet():
geom = AnaPot.get_geom((0.52, 1.80, 0))
x0 = geom.coords.copy()
v0 = .1 * np.random.rand(*geom.coords.shape)
t = 3
dts = (.005, .01, .02, .04, .08)
all_xs = list()
for dt in dts:
geom.coords = x0.copy()
md_kwargs = {
"v0": v0.copy(),
"t": t,
"dt": dt,
}
md_result = md(geom, **md_kwargs)
all_xs.append(md_result.coords)
calc = geom.calculator
calc.plot()
ax = calc.ax
for dt, xs in zip(dts, all_xs):
ax.plot(*xs.T[:2], "o-", label=f"dt={dt:.3f}")
# ax.plot(*xs.T[:2], "-", label=f"dt={dt:.3f}")
ax.legend()
plt.show()
def ase_md_playground():
geom = AnaPot.get_geom((0.52, 1.80, 0), atoms=("H", ))
atoms = geom.as_ase_atoms()
# ase_calc = FakeASE(geom.calculator)
# from ase.optimize import BFGS
# dyn = BFGS(atoms)
# dyn.run(fmax=0.05)
import ase
from ase import units
from ase.io.trajectory import Trajectory
from ase.md.velocitydistribution import MaxwellBoltzmannDistribution
from ase.md.verlet import VelocityVerlet
MaxwellBoltzmannDistribution(atoms, 300 * units.kB)
momenta = atoms.get_momenta()
momenta[0, 2] = 0.
# Zero 3rd dimension
atoms.set_momenta(momenta)
dyn = VelocityVerlet(atoms, .005 * units.fs) # 5 fs time step.
def printenergy(a):
"""Function to print the potential, kinetic and total energy"""
epot = a.get_potential_energy() / len(a)
ekin = a.get_kinetic_energy() / len(a)
print('Energy per atom: Epot = %.3feV Ekin = %.3feV (T=%3.0fK) '
'Etot = %.3feV' % (epot, ekin, ekin / (1.5 * units.kB), epot + ekin))
# Now run the dynamics
printenergy(atoms)
traj_fn = 'asemd.traj'
traj = Trajectory(traj_fn, 'w', atoms)
dyn.attach(traj.write, interval=5)
# dyn.attach(bumms().bimms, interval=1)
dyn.run(10000)
printenergy(atoms)
traj.close()
traj = ase.io.read(traj_fn+"@:")#, "r")
pos = [a.get_positions() for a in traj]
from pysisyphus.constants import BOHR2ANG
pos = np.array(pos) / BOHR2ANG
calc = geom.calculator
calc.plot()
ax = calc.ax
ax.plot(*pos[:,0,:2].T)
plt.show()
if __name__ == "__main__":
ase_md_playground()
| gpl-3.0 |
yashsharan/sympy | sympy/calculus/euler.py | 16 | 3263 | """
This module implements a method to find
Euler-Lagrange Equations for given Lagrangian.
"""
from itertools import combinations_with_replacement
from sympy import Function, sympify, diff, Eq, S, Symbol, Derivative
from sympy.core.compatibility import (iterable, range)
def euler_equations(L, funcs=(), vars=()):
r"""
Find the Euler-Lagrange equations [1]_ for a given Lagrangian.
Parameters
==========
L : Expr
The Lagrangian that should be a function of the functions listed
in the second argument and their derivatives.
For example, in the case of two functions `f(x,y)`, `g(x,y)` and
two independent variables `x`, `y` the Lagrangian would have the form:
.. math:: L\left(f(x,y),g(x,y),\frac{\partial f(x,y)}{\partial x},
\frac{\partial f(x,y)}{\partial y},
\frac{\partial g(x,y)}{\partial x},
\frac{\partial g(x,y)}{\partial y},x,y\right)
In many cases it is not necessary to provide anything, except the
Lagrangian, it will be auto-detected (and an error raised if this
couldn't be done).
funcs : Function or an iterable of Functions
The functions that the Lagrangian depends on. The Euler equations
are differential equations for each of these functions.
vars : Symbol or an iterable of Symbols
The Symbols that are the independent variables of the functions.
Returns
=======
eqns : list of Eq
The list of differential equations, one for each function.
Examples
========
>>> from sympy import Symbol, Function
>>> from sympy.calculus.euler import euler_equations
>>> x = Function('x')
>>> t = Symbol('t')
>>> L = (x(t).diff(t))**2/2 - x(t)**2/2
>>> euler_equations(L, x(t), t)
[Eq(-x(t) - Derivative(x(t), t, t), 0)]
>>> u = Function('u')
>>> x = Symbol('x')
>>> L = (u(t, x).diff(t))**2/2 - (u(t, x).diff(x))**2/2
>>> euler_equations(L, u(t, x), [t, x])
[Eq(-Derivative(u(t, x), t, t) + Derivative(u(t, x), x, x), 0)]
References
==========
.. [1] http://en.wikipedia.org/wiki/Euler%E2%80%93Lagrange_equation
"""
funcs = tuple(funcs) if iterable(funcs) else (funcs,)
if not funcs:
funcs = tuple(L.atoms(Function))
else:
for f in funcs:
if not isinstance(f, Function):
raise TypeError('Function expected, got: %s' % f)
vars = tuple(vars) if iterable(vars) else (vars,)
if not vars:
vars = funcs[0].args
else:
vars = tuple(sympify(var) for var in vars)
if not all(isinstance(v, Symbol) for v in vars):
raise TypeError('Variables are not symbols, got %s' % vars)
for f in funcs:
if not vars == f.args:
raise ValueError("Variables %s don't match args: %s" % (vars, f))
order = max(len(d.variables) for d in L.atoms(Derivative)
if d.expr in funcs)
eqns = []
for f in funcs:
eq = diff(L, f)
for i in range(1, order + 1):
for p in combinations_with_replacement(vars, i):
eq = eq + S.NegativeOne**i*diff(L, diff(f, *p), *p)
eqns.append(Eq(eq))
return eqns
| bsd-3-clause |
Bachaco-ve/odoo | addons/account_test/report/account_test_report.py | 194 | 3819 | # -*- encoding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2004-2009 Tiny SPRL (<http://tiny.be>). All Rights Reserved
# $Id$
#
# 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 datetime
import time
from openerp.osv import osv
from openerp.tools.translate import _
from openerp.report import report_sxw
from openerp.tools.safe_eval import safe_eval as eval
#
# Use period and Journal for selection or resources
#
class report_assert_account(report_sxw.rml_parse):
def __init__(self, cr, uid, name, context):
super(report_assert_account, self).__init__(cr, uid, name, context=context)
self.localcontext.update( {
'time': time,
'datetime': datetime,
'execute_code': self.execute_code,
})
def execute_code(self, code_exec):
def reconciled_inv():
"""
returns the list of invoices that are set as reconciled = True
"""
return self.pool.get('account.invoice').search(self.cr, self.uid, [('reconciled','=',True)])
def order_columns(item, cols=None):
"""
This function is used to display a dictionary as a string, with its columns in the order chosen.
:param item: dict
:param cols: list of field names
:returns: a list of tuples (fieldname: value) in a similar way that would dict.items() do except that the
returned values are following the order given by cols
:rtype: [(key, value)]
"""
if cols is None:
cols = item.keys()
return [(col, item.get(col)) for col in cols if col in item.keys()]
localdict = {
'cr': self.cr,
'uid': self.uid,
'reconciled_inv': reconciled_inv, #specific function used in different tests
'result': None, #used to store the result of the test
'column_order': None, #used to choose the display order of columns (in case you are returning a list of dict)
}
eval(code_exec, localdict, mode="exec", nocopy=True)
result = localdict['result']
column_order = localdict.get('column_order', None)
if not isinstance(result, (tuple, list, set)):
result = [result]
if not result:
result = [_('The test was passed successfully')]
else:
def _format(item):
if isinstance(item, dict):
return ', '.join(["%s: %s" % (tup[0], tup[1]) for tup in order_columns(item, column_order)])
else:
return item
result = [_(_format(rec)) for rec in result]
return result
class report_accounttest(osv.AbstractModel):
_name = 'report.account_test.report_accounttest'
_inherit = 'report.abstract_report'
_template = 'account_test.report_accounttest'
_wrapped_report_class = report_assert_account
# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
| agpl-3.0 |
adit-chandra/tensorflow | tensorflow/python/keras/applications/imagenet_utils.py | 5 | 1439 | # 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.
# ==============================================================================
"""Utilities for ImageNet data preprocessing & prediction decoding.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from keras_applications import imagenet_utils
from tensorflow.python.keras.applications import keras_modules_injection
from tensorflow.python.util.tf_export import keras_export
@keras_export('keras.applications.imagenet_utils.decode_predictions')
@keras_modules_injection
def decode_predictions(*args, **kwargs):
return imagenet_utils.decode_predictions(*args, **kwargs)
@keras_export('keras.applications.imagenet_utils.preprocess_input')
@keras_modules_injection
def preprocess_input(*args, **kwargs):
return imagenet_utils.preprocess_input(*args, **kwargs)
| apache-2.0 |
fibbo/DIRAC | Interfaces/scripts/dirac-wms-job-attributes.py | 8 | 1197 | #!/usr/bin/env python
########################################################################
# $HeadURL$
# File : dirac-wms-job-attributes
# Author : Stuart Paterson
########################################################################
"""
Retrieve attributes associated with the given DIRAC job
"""
__RCSID__ = "$Id$"
import DIRAC
from DIRAC.Core.Base import Script
Script.setUsageMessage( '\n'.join( [ __doc__.split( '\n' )[1],
'Usage:',
' %s [option|cfgfile] ... JobID ...' % Script.scriptName,
'Arguments:',
' JobID: DIRAC Job ID' ] ) )
Script.parseCommandLine( ignoreErrors = True )
args = Script.getPositionalArgs()
if len( args ) < 1:
Script.showHelp()
from DIRAC.Interfaces.API.Dirac import Dirac
dirac = Dirac()
exitCode = 0
errorList = []
for job in args:
result = dirac.attributes( int(job), printOutput = True )
if not result['OK']:
errorList.append( ( job, result['Message'] ) )
exitCode = 2
for error in errorList:
print "ERROR %s: %s" % error
DIRAC.exit( exitCode )
| gpl-3.0 |
nikhil93uf/Qemu | scripts/tracetool/backend/simple.py | 97 | 2669 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Simple built-in backend.
"""
__author__ = "Lluís Vilanova <[email protected]>"
__copyright__ = "Copyright 2012-2014, Lluís Vilanova <[email protected]>"
__license__ = "GPL version 2 or (at your option) any later version"
__maintainer__ = "Stefan Hajnoczi"
__email__ = "[email protected]"
from tracetool import out
PUBLIC = True
def is_string(arg):
strtype = ('const char*', 'char*', 'const char *', 'char *')
if arg.lstrip().startswith(strtype):
return True
else:
return False
def generate_h_begin(events):
for event in events:
out('void _simple_%(api)s(%(args)s);',
api=event.api(),
args=event.args)
out('')
def generate_h(event):
out(' _simple_%(api)s(%(args)s);',
api=event.api(),
args=", ".join(event.args.names()))
def generate_c_begin(events):
out('#include "trace.h"',
'#include "trace/control.h"',
'#include "trace/simple.h"',
'')
def generate_c(event):
out('void _simple_%(api)s(%(args)s)',
'{',
' TraceBufferRecord rec;',
api=event.api(),
args=event.args)
sizes = []
for type_, name in event.args:
if is_string(type_):
out(' size_t arg%(name)s_len = %(name)s ? MIN(strlen(%(name)s), MAX_TRACE_STRLEN) : 0;',
name=name)
strsizeinfo = "4 + arg%s_len" % name
sizes.append(strsizeinfo)
else:
sizes.append("8")
sizestr = " + ".join(sizes)
if len(event.args) == 0:
sizestr = '0'
out('',
' if (!trace_event_get_state(%(event_id)s)) {',
' return;',
' }',
'',
' if (trace_record_start(&rec, %(event_id)s, %(size_str)s)) {',
' return; /* Trace Buffer Full, Event Dropped ! */',
' }',
event_id='TRACE_' + event.name.upper(),
size_str=sizestr)
if len(event.args) > 0:
for type_, name in event.args:
# string
if is_string(type_):
out(' trace_record_write_str(&rec, %(name)s, arg%(name)s_len);',
name=name)
# pointer var (not string)
elif type_.endswith('*'):
out(' trace_record_write_u64(&rec, (uintptr_t)(uint64_t *)%(name)s);',
name=name)
# primitive data type
else:
out(' trace_record_write_u64(&rec, (uint64_t)%(name)s);',
name=name)
out(' trace_record_finish(&rec);',
'}',
'')
| gpl-2.0 |
tod31/pyload | module/plugins/hoster/RPNetBiz.py | 5 | 3545 | # -*- coding: utf-8 -*-
import re
from module.plugins.internal.MultiHoster import MultiHoster
from module.plugins.internal.misc import json
class RPNetBiz(MultiHoster):
__name__ = "RPNetBiz"
__type__ = "hoster"
__version__ = "0.20"
__status__ = "testing"
__pattern__ = r'https?://.+rpnet\.biz'
__config__ = [("activated" , "bool", "Activated" , True ),
("use_premium" , "bool", "Use premium account if available" , True ),
("fallback" , "bool", "Fallback to free download if premium fails" , False),
("chk_filesize", "bool", "Check file size" , True ),
("max_wait" , "int" , "Reconnect if waiting time is greater than minutes", 10 ),
("revertfailed", "bool", "Revert to standard download if fails" , True )]
__description__ = """RPNet.biz multi-hoster plugin"""
__license__ = "GPLv3"
__authors__ = [("Dman", "[email protected]")]
def setup(self):
self.chunk_limit = -1
def handle_premium(self, pyfile):
user, info = self.account.select()
res = self.load("https://premium.rpnet.biz/client_api.php",
get={'username': user,
'password': info['login']['password'],
'action' : "generate",
'links' : pyfile.url})
self.log_debug("JSON data: %s" % res)
link_status = json.loads(res)['links'][0] #: Get the first link... since we only queried one
#: Check if we only have an id as a HDD link
if 'id' in link_status:
self.log_debug("Need to wait at least 30 seconds before requery")
self.wait(30) #: Wait for 30 seconds
#: Lets query the server again asking for the status on the link,
#: We need to keep doing this until we reach 100
attemps = 30
my_try = 0
while (my_try <= attemps):
self.log_debug("Try: %d ; Max Tries: %d" % (my_try, attemps))
res = self.load("https://premium.rpnet.biz/client_api.php",
get={'username': user,
'password': info['login']['password'],
'action' : "downloadInformation",
'id' : link_status['id']})
self.log_debug("JSON data hdd query: %s" % res)
download_status = json.loads(res)['download']
if download_status['status'] == "100":
link_status['generated'] = download_status['rpnet_link']
self.log_debug("Successfully downloaded to rpnet HDD: %s" % link_status['generated'])
break
else:
self.log_debug("At %s%% for the file download" % download_status['status'])
self.wait(30)
my_try += 1
if my_try > attemps: #: We went over the limit!
self.fail(_("Waited for about 15 minutes for download to finish but failed"))
if 'generated' in link_status:
self.link = link_status['generated']
return
elif 'error' in link_status:
self.fail(link_status['error'])
else:
self.fail(_("Something went wrong, not supposed to enter here"))
| gpl-3.0 |
yestech/gae-django-template | django/contrib/gis/db/backends/mysql/introspection.py | 624 | 1426 | from MySQLdb.constants import FIELD_TYPE
from django.contrib.gis.gdal import OGRGeomType
from django.db.backends.mysql.introspection import DatabaseIntrospection
class MySQLIntrospection(DatabaseIntrospection):
# Updating the data_types_reverse dictionary with the appropriate
# type for Geometry fields.
data_types_reverse = DatabaseIntrospection.data_types_reverse.copy()
data_types_reverse[FIELD_TYPE.GEOMETRY] = 'GeometryField'
def get_geometry_type(self, table_name, geo_col):
cursor = self.connection.cursor()
try:
# In order to get the specific geometry type of the field,
# we introspect on the table definition using `DESCRIBE`.
cursor.execute('DESCRIBE %s' %
self.connection.ops.quote_name(table_name))
# Increment over description info until we get to the geometry
# column.
for column, typ, null, key, default, extra in cursor.fetchall():
if column == geo_col:
# Using OGRGeomType to convert from OGC name to Django field.
# MySQL does not support 3D or SRIDs, so the field params
# are empty.
field_type = OGRGeomType(typ).django
field_params = {}
break
finally:
cursor.close()
return field_type, field_params
| bsd-3-clause |
jeffery-do/Vizdoombot | doom/lib/python3.5/site-packages/theano/tensor/tests/test_io.py | 7 | 2053 | import unittest
import theano
from theano import tensor, function, Variable, Generic
import numpy
import os
class T_load_tensor(unittest.TestCase):
def setUp(self):
self.data = numpy.arange(5, dtype=numpy.int32)
self.filename = os.path.join(
theano.config.compiledir,
"_test.npy")
numpy.save(self.filename, self.data)
def test0(self):
path = Variable(Generic())
# Not specifying mmap_mode defaults to None, and the data is
# copied into main memory
x = tensor.load(path, 'int32', (False,))
y = x * 2
fn = function([path], y)
assert (fn(self.filename) == (self.data * 2)).all()
def test_invalid_modes(self):
# Modes 'r+', 'r', and 'w+' cannot work with Theano, becausei
# the output array may be modified inplace, and that should not
# modify the original file.
path = Variable(Generic())
for mmap_mode in ('r+', 'r', 'w+', 'toto'):
self.assertRaises(ValueError,
tensor.load, path, 'int32', (False,), mmap_mode)
def test1(self):
path = Variable(Generic())
# 'c' means "copy-on-write", which allow the array to be overwritten
# by an inplace Op in the graph, without modifying the underlying
# file.
x = tensor.load(path, 'int32', (False,), 'c')
# x ** 2 has been chosen because it will work inplace.
y = (x ** 2).sum()
fn = function([path], y)
# Call fn() twice, to check that inplace ops do not cause trouble
assert (fn(self.filename) == (self.data ** 2).sum()).all()
assert (fn(self.filename) == (self.data ** 2).sum()).all()
def test_memmap(self):
path = Variable(Generic())
x = tensor.load(path, 'int32', (False,), mmap_mode='c')
fn = function([path], x)
assert type(fn(self.filename)) == numpy.core.memmap
def tearDown(self):
os.remove(os.path.join(
theano.config.compiledir,
"_test.npy"))
| mit |
Hellowlol/HTPC-Manager | libs/mako/_ast_util.py | 60 | 25652 | # mako/_ast_util.py
# Copyright (C) 2006-2015 the Mako authors and contributors <see AUTHORS file>
#
# This module is part of Mako and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
"""
ast
~~~
The `ast` module helps Python applications to process trees of the Python
abstract syntax grammar. The abstract syntax itself might change with
each Python release; this module helps to find out programmatically what
the current grammar looks like and allows modifications of it.
An abstract syntax tree can be generated by passing `ast.PyCF_ONLY_AST` as
a flag to the `compile()` builtin function or by using the `parse()`
function from this module. The result will be a tree of objects whose
classes all inherit from `ast.AST`.
A modified abstract syntax tree can be compiled into a Python code object
using the built-in `compile()` function.
Additionally various helper functions are provided that make working with
the trees simpler. The main intention of the helper functions and this
module in general is to provide an easy to use interface for libraries
that work tightly with the python syntax (template engines for example).
:copyright: Copyright 2008 by Armin Ronacher.
:license: Python License.
"""
from _ast import *
from mako.compat import arg_stringname
BOOLOP_SYMBOLS = {
And: 'and',
Or: 'or'
}
BINOP_SYMBOLS = {
Add: '+',
Sub: '-',
Mult: '*',
Div: '/',
FloorDiv: '//',
Mod: '%',
LShift: '<<',
RShift: '>>',
BitOr: '|',
BitAnd: '&',
BitXor: '^'
}
CMPOP_SYMBOLS = {
Eq: '==',
Gt: '>',
GtE: '>=',
In: 'in',
Is: 'is',
IsNot: 'is not',
Lt: '<',
LtE: '<=',
NotEq: '!=',
NotIn: 'not in'
}
UNARYOP_SYMBOLS = {
Invert: '~',
Not: 'not',
UAdd: '+',
USub: '-'
}
ALL_SYMBOLS = {}
ALL_SYMBOLS.update(BOOLOP_SYMBOLS)
ALL_SYMBOLS.update(BINOP_SYMBOLS)
ALL_SYMBOLS.update(CMPOP_SYMBOLS)
ALL_SYMBOLS.update(UNARYOP_SYMBOLS)
def parse(expr, filename='<unknown>', mode='exec'):
"""Parse an expression into an AST node."""
return compile(expr, filename, mode, PyCF_ONLY_AST)
def to_source(node, indent_with=' ' * 4):
"""
This function can convert a node tree back into python sourcecode. This
is useful for debugging purposes, especially if you're dealing with custom
asts not generated by python itself.
It could be that the sourcecode is evaluable when the AST itself is not
compilable / evaluable. The reason for this is that the AST contains some
more data than regular sourcecode does, which is dropped during
conversion.
Each level of indentation is replaced with `indent_with`. Per default this
parameter is equal to four spaces as suggested by PEP 8, but it might be
adjusted to match the application's styleguide.
"""
generator = SourceGenerator(indent_with)
generator.visit(node)
return ''.join(generator.result)
def dump(node):
"""
A very verbose representation of the node passed. This is useful for
debugging purposes.
"""
def _format(node):
if isinstance(node, AST):
return '%s(%s)' % (node.__class__.__name__,
', '.join('%s=%s' % (a, _format(b))
for a, b in iter_fields(node)))
elif isinstance(node, list):
return '[%s]' % ', '.join(_format(x) for x in node)
return repr(node)
if not isinstance(node, AST):
raise TypeError('expected AST, got %r' % node.__class__.__name__)
return _format(node)
def copy_location(new_node, old_node):
"""
Copy the source location hint (`lineno` and `col_offset`) from the
old to the new node if possible and return the new one.
"""
for attr in 'lineno', 'col_offset':
if attr in old_node._attributes and attr in new_node._attributes \
and hasattr(old_node, attr):
setattr(new_node, attr, getattr(old_node, attr))
return new_node
def fix_missing_locations(node):
"""
Some nodes require a line number and the column offset. Without that
information the compiler will abort the compilation. Because it can be
a dull task to add appropriate line numbers and column offsets when
adding new nodes this function can help. It copies the line number and
column offset of the parent node to the child nodes without this
information.
Unlike `copy_location` this works recursive and won't touch nodes that
already have a location information.
"""
def _fix(node, lineno, col_offset):
if 'lineno' in node._attributes:
if not hasattr(node, 'lineno'):
node.lineno = lineno
else:
lineno = node.lineno
if 'col_offset' in node._attributes:
if not hasattr(node, 'col_offset'):
node.col_offset = col_offset
else:
col_offset = node.col_offset
for child in iter_child_nodes(node):
_fix(child, lineno, col_offset)
_fix(node, 1, 0)
return node
def increment_lineno(node, n=1):
"""
Increment the line numbers of all nodes by `n` if they have line number
attributes. This is useful to "move code" to a different location in a
file.
"""
for node in zip((node,), walk(node)):
if 'lineno' in node._attributes:
node.lineno = getattr(node, 'lineno', 0) + n
def iter_fields(node):
"""Iterate over all fields of a node, only yielding existing fields."""
# CPython 2.5 compat
if not hasattr(node, '_fields') or not node._fields:
return
for field in node._fields:
try:
yield field, getattr(node, field)
except AttributeError:
pass
def get_fields(node):
"""Like `iter_fiels` but returns a dict."""
return dict(iter_fields(node))
def iter_child_nodes(node):
"""Iterate over all child nodes or a node."""
for name, field in iter_fields(node):
if isinstance(field, AST):
yield field
elif isinstance(field, list):
for item in field:
if isinstance(item, AST):
yield item
def get_child_nodes(node):
"""Like `iter_child_nodes` but returns a list."""
return list(iter_child_nodes(node))
def get_compile_mode(node):
"""
Get the mode for `compile` of a given node. If the node is not a `mod`
node (`Expression`, `Module` etc.) a `TypeError` is thrown.
"""
if not isinstance(node, mod):
raise TypeError('expected mod node, got %r' % node.__class__.__name__)
return {
Expression: 'eval',
Interactive: 'single'
}.get(node.__class__, 'expr')
def get_docstring(node):
"""
Return the docstring for the given node or `None` if no docstring can be
found. If the node provided does not accept docstrings a `TypeError`
will be raised.
"""
if not isinstance(node, (FunctionDef, ClassDef, Module)):
raise TypeError("%r can't have docstrings" % node.__class__.__name__)
if node.body and isinstance(node.body[0], Str):
return node.body[0].s
def walk(node):
"""
Iterate over all nodes. This is useful if you only want to modify nodes in
place and don't care about the context or the order the nodes are returned.
"""
from collections import deque
todo = deque([node])
while todo:
node = todo.popleft()
todo.extend(iter_child_nodes(node))
yield node
class NodeVisitor(object):
"""
Walks the abstract syntax tree and call visitor functions for every node
found. The visitor functions may return values which will be forwarded
by the `visit` method.
Per default the visitor functions for the nodes are ``'visit_'`` +
class name of the node. So a `TryFinally` node visit function would
be `visit_TryFinally`. This behavior can be changed by overriding
the `get_visitor` function. If no visitor function exists for a node
(return value `None`) the `generic_visit` visitor is used instead.
Don't use the `NodeVisitor` if you want to apply changes to nodes during
traversing. For this a special visitor exists (`NodeTransformer`) that
allows modifications.
"""
def get_visitor(self, node):
"""
Return the visitor function for this node or `None` if no visitor
exists for this node. In that case the generic visit function is
used instead.
"""
method = 'visit_' + node.__class__.__name__
return getattr(self, method, None)
def visit(self, node):
"""Visit a node."""
f = self.get_visitor(node)
if f is not None:
return f(node)
return self.generic_visit(node)
def generic_visit(self, node):
"""Called if no explicit visitor function exists for a node."""
for field, value in iter_fields(node):
if isinstance(value, list):
for item in value:
if isinstance(item, AST):
self.visit(item)
elif isinstance(value, AST):
self.visit(value)
class NodeTransformer(NodeVisitor):
"""
Walks the abstract syntax tree and allows modifications of nodes.
The `NodeTransformer` will walk the AST and use the return value of the
visitor functions to replace or remove the old node. If the return
value of the visitor function is `None` the node will be removed
from the previous location otherwise it's replaced with the return
value. The return value may be the original node in which case no
replacement takes place.
Here an example transformer that rewrites all `foo` to `data['foo']`::
class RewriteName(NodeTransformer):
def visit_Name(self, node):
return copy_location(Subscript(
value=Name(id='data', ctx=Load()),
slice=Index(value=Str(s=node.id)),
ctx=node.ctx
), node)
Keep in mind that if the node you're operating on has child nodes
you must either transform the child nodes yourself or call the generic
visit function for the node first.
Nodes that were part of a collection of statements (that applies to
all statement nodes) may also return a list of nodes rather than just
a single node.
Usually you use the transformer like this::
node = YourTransformer().visit(node)
"""
def generic_visit(self, node):
for field, old_value in iter_fields(node):
old_value = getattr(node, field, None)
if isinstance(old_value, list):
new_values = []
for value in old_value:
if isinstance(value, AST):
value = self.visit(value)
if value is None:
continue
elif not isinstance(value, AST):
new_values.extend(value)
continue
new_values.append(value)
old_value[:] = new_values
elif isinstance(old_value, AST):
new_node = self.visit(old_value)
if new_node is None:
delattr(node, field)
else:
setattr(node, field, new_node)
return node
class SourceGenerator(NodeVisitor):
"""
This visitor is able to transform a well formed syntax tree into python
sourcecode. For more details have a look at the docstring of the
`node_to_source` function.
"""
def __init__(self, indent_with):
self.result = []
self.indent_with = indent_with
self.indentation = 0
self.new_lines = 0
def write(self, x):
if self.new_lines:
if self.result:
self.result.append('\n' * self.new_lines)
self.result.append(self.indent_with * self.indentation)
self.new_lines = 0
self.result.append(x)
def newline(self, n=1):
self.new_lines = max(self.new_lines, n)
def body(self, statements):
self.new_line = True
self.indentation += 1
for stmt in statements:
self.visit(stmt)
self.indentation -= 1
def body_or_else(self, node):
self.body(node.body)
if node.orelse:
self.newline()
self.write('else:')
self.body(node.orelse)
def signature(self, node):
want_comma = []
def write_comma():
if want_comma:
self.write(', ')
else:
want_comma.append(True)
padding = [None] * (len(node.args) - len(node.defaults))
for arg, default in zip(node.args, padding + node.defaults):
write_comma()
self.visit(arg)
if default is not None:
self.write('=')
self.visit(default)
if node.vararg is not None:
write_comma()
self.write('*' + arg_stringname(node.vararg))
if node.kwarg is not None:
write_comma()
self.write('**' + arg_stringname(node.kwarg))
def decorators(self, node):
for decorator in node.decorator_list:
self.newline()
self.write('@')
self.visit(decorator)
# Statements
def visit_Assign(self, node):
self.newline()
for idx, target in enumerate(node.targets):
if idx:
self.write(', ')
self.visit(target)
self.write(' = ')
self.visit(node.value)
def visit_AugAssign(self, node):
self.newline()
self.visit(node.target)
self.write(BINOP_SYMBOLS[type(node.op)] + '=')
self.visit(node.value)
def visit_ImportFrom(self, node):
self.newline()
self.write('from %s%s import ' % ('.' * node.level, node.module))
for idx, item in enumerate(node.names):
if idx:
self.write(', ')
self.write(item)
def visit_Import(self, node):
self.newline()
for item in node.names:
self.write('import ')
self.visit(item)
def visit_Expr(self, node):
self.newline()
self.generic_visit(node)
def visit_FunctionDef(self, node):
self.newline(n=2)
self.decorators(node)
self.newline()
self.write('def %s(' % node.name)
self.signature(node.args)
self.write('):')
self.body(node.body)
def visit_ClassDef(self, node):
have_args = []
def paren_or_comma():
if have_args:
self.write(', ')
else:
have_args.append(True)
self.write('(')
self.newline(n=3)
self.decorators(node)
self.newline()
self.write('class %s' % node.name)
for base in node.bases:
paren_or_comma()
self.visit(base)
# XXX: the if here is used to keep this module compatible
# with python 2.6.
if hasattr(node, 'keywords'):
for keyword in node.keywords:
paren_or_comma()
self.write(keyword.arg + '=')
self.visit(keyword.value)
if node.starargs is not None:
paren_or_comma()
self.write('*')
self.visit(node.starargs)
if node.kwargs is not None:
paren_or_comma()
self.write('**')
self.visit(node.kwargs)
self.write(have_args and '):' or ':')
self.body(node.body)
def visit_If(self, node):
self.newline()
self.write('if ')
self.visit(node.test)
self.write(':')
self.body(node.body)
while True:
else_ = node.orelse
if len(else_) == 1 and isinstance(else_[0], If):
node = else_[0]
self.newline()
self.write('elif ')
self.visit(node.test)
self.write(':')
self.body(node.body)
else:
self.newline()
self.write('else:')
self.body(else_)
break
def visit_For(self, node):
self.newline()
self.write('for ')
self.visit(node.target)
self.write(' in ')
self.visit(node.iter)
self.write(':')
self.body_or_else(node)
def visit_While(self, node):
self.newline()
self.write('while ')
self.visit(node.test)
self.write(':')
self.body_or_else(node)
def visit_With(self, node):
self.newline()
self.write('with ')
self.visit(node.context_expr)
if node.optional_vars is not None:
self.write(' as ')
self.visit(node.optional_vars)
self.write(':')
self.body(node.body)
def visit_Pass(self, node):
self.newline()
self.write('pass')
def visit_Print(self, node):
# XXX: python 2.6 only
self.newline()
self.write('print ')
want_comma = False
if node.dest is not None:
self.write(' >> ')
self.visit(node.dest)
want_comma = True
for value in node.values:
if want_comma:
self.write(', ')
self.visit(value)
want_comma = True
if not node.nl:
self.write(',')
def visit_Delete(self, node):
self.newline()
self.write('del ')
for idx, target in enumerate(node):
if idx:
self.write(', ')
self.visit(target)
def visit_TryExcept(self, node):
self.newline()
self.write('try:')
self.body(node.body)
for handler in node.handlers:
self.visit(handler)
def visit_TryFinally(self, node):
self.newline()
self.write('try:')
self.body(node.body)
self.newline()
self.write('finally:')
self.body(node.finalbody)
def visit_Global(self, node):
self.newline()
self.write('global ' + ', '.join(node.names))
def visit_Nonlocal(self, node):
self.newline()
self.write('nonlocal ' + ', '.join(node.names))
def visit_Return(self, node):
self.newline()
self.write('return ')
self.visit(node.value)
def visit_Break(self, node):
self.newline()
self.write('break')
def visit_Continue(self, node):
self.newline()
self.write('continue')
def visit_Raise(self, node):
# XXX: Python 2.6 / 3.0 compatibility
self.newline()
self.write('raise')
if hasattr(node, 'exc') and node.exc is not None:
self.write(' ')
self.visit(node.exc)
if node.cause is not None:
self.write(' from ')
self.visit(node.cause)
elif hasattr(node, 'type') and node.type is not None:
self.visit(node.type)
if node.inst is not None:
self.write(', ')
self.visit(node.inst)
if node.tback is not None:
self.write(', ')
self.visit(node.tback)
# Expressions
def visit_Attribute(self, node):
self.visit(node.value)
self.write('.' + node.attr)
def visit_Call(self, node):
want_comma = []
def write_comma():
if want_comma:
self.write(', ')
else:
want_comma.append(True)
self.visit(node.func)
self.write('(')
for arg in node.args:
write_comma()
self.visit(arg)
for keyword in node.keywords:
write_comma()
self.write(keyword.arg + '=')
self.visit(keyword.value)
if node.starargs is not None:
write_comma()
self.write('*')
self.visit(node.starargs)
if node.kwargs is not None:
write_comma()
self.write('**')
self.visit(node.kwargs)
self.write(')')
def visit_Name(self, node):
self.write(node.id)
def visit_NameConstant(self, node):
self.write(str(node.value))
def visit_arg(self, node):
self.write(node.arg)
def visit_Str(self, node):
self.write(repr(node.s))
def visit_Bytes(self, node):
self.write(repr(node.s))
def visit_Num(self, node):
self.write(repr(node.n))
def visit_Tuple(self, node):
self.write('(')
idx = -1
for idx, item in enumerate(node.elts):
if idx:
self.write(', ')
self.visit(item)
self.write(idx and ')' or ',)')
def sequence_visit(left, right):
def visit(self, node):
self.write(left)
for idx, item in enumerate(node.elts):
if idx:
self.write(', ')
self.visit(item)
self.write(right)
return visit
visit_List = sequence_visit('[', ']')
visit_Set = sequence_visit('{', '}')
del sequence_visit
def visit_Dict(self, node):
self.write('{')
for idx, (key, value) in enumerate(zip(node.keys, node.values)):
if idx:
self.write(', ')
self.visit(key)
self.write(': ')
self.visit(value)
self.write('}')
def visit_BinOp(self, node):
self.write('(')
self.visit(node.left)
self.write(' %s ' % BINOP_SYMBOLS[type(node.op)])
self.visit(node.right)
self.write(')')
def visit_BoolOp(self, node):
self.write('(')
for idx, value in enumerate(node.values):
if idx:
self.write(' %s ' % BOOLOP_SYMBOLS[type(node.op)])
self.visit(value)
self.write(')')
def visit_Compare(self, node):
self.write('(')
self.visit(node.left)
for op, right in zip(node.ops, node.comparators):
self.write(' %s ' % CMPOP_SYMBOLS[type(op)])
self.visit(right)
self.write(')')
def visit_UnaryOp(self, node):
self.write('(')
op = UNARYOP_SYMBOLS[type(node.op)]
self.write(op)
if op == 'not':
self.write(' ')
self.visit(node.operand)
self.write(')')
def visit_Subscript(self, node):
self.visit(node.value)
self.write('[')
self.visit(node.slice)
self.write(']')
def visit_Slice(self, node):
if node.lower is not None:
self.visit(node.lower)
self.write(':')
if node.upper is not None:
self.visit(node.upper)
if node.step is not None:
self.write(':')
if not (isinstance(node.step, Name) and node.step.id == 'None'):
self.visit(node.step)
def visit_ExtSlice(self, node):
for idx, item in node.dims:
if idx:
self.write(', ')
self.visit(item)
def visit_Yield(self, node):
self.write('yield ')
self.visit(node.value)
def visit_Lambda(self, node):
self.write('lambda ')
self.signature(node.args)
self.write(': ')
self.visit(node.body)
def visit_Ellipsis(self, node):
self.write('Ellipsis')
def generator_visit(left, right):
def visit(self, node):
self.write(left)
self.visit(node.elt)
for comprehension in node.generators:
self.visit(comprehension)
self.write(right)
return visit
visit_ListComp = generator_visit('[', ']')
visit_GeneratorExp = generator_visit('(', ')')
visit_SetComp = generator_visit('{', '}')
del generator_visit
def visit_DictComp(self, node):
self.write('{')
self.visit(node.key)
self.write(': ')
self.visit(node.value)
for comprehension in node.generators:
self.visit(comprehension)
self.write('}')
def visit_IfExp(self, node):
self.visit(node.body)
self.write(' if ')
self.visit(node.test)
self.write(' else ')
self.visit(node.orelse)
def visit_Starred(self, node):
self.write('*')
self.visit(node.value)
def visit_Repr(self, node):
# XXX: python 2.6 only
self.write('`')
self.visit(node.value)
self.write('`')
# Helper Nodes
def visit_alias(self, node):
self.write(node.name)
if node.asname is not None:
self.write(' as ' + node.asname)
def visit_comprehension(self, node):
self.write(' for ')
self.visit(node.target)
self.write(' in ')
self.visit(node.iter)
if node.ifs:
for if_ in node.ifs:
self.write(' if ')
self.visit(if_)
def visit_excepthandler(self, node):
self.newline()
self.write('except')
if node.type is not None:
self.write(' ')
self.visit(node.type)
if node.name is not None:
self.write(' as ')
self.visit(node.name)
self.write(':')
self.body(node.body)
| mit |
40223117cda/cda | static/Brython3.1.1-20150328-091302/Lib/test/test_int.py | 765 | 12587 | import sys
import unittest
from test.support import run_unittest
L = [
('0', 0),
('1', 1),
('9', 9),
('10', 10),
('99', 99),
('100', 100),
('314', 314),
(' 314', 314),
('314 ', 314),
(' \t\t 314 \t\t ', 314),
(repr(sys.maxsize), sys.maxsize),
(' 1x', ValueError),
(' 1 ', 1),
(' 1\02 ', ValueError),
('', ValueError),
(' ', ValueError),
(' \t\t ', ValueError),
("\u0200", ValueError)
]
class IntTestCases(unittest.TestCase):
def test_basic(self):
self.assertEqual(int(314), 314)
self.assertEqual(int(3.14), 3)
# Check that conversion from float truncates towards zero
self.assertEqual(int(-3.14), -3)
self.assertEqual(int(3.9), 3)
self.assertEqual(int(-3.9), -3)
self.assertEqual(int(3.5), 3)
self.assertEqual(int(-3.5), -3)
self.assertEqual(int("-3"), -3)
self.assertEqual(int(" -3 "), -3)
self.assertEqual(int("\N{EM SPACE}-3\N{EN SPACE}"), -3)
# Different base:
self.assertEqual(int("10",16), 16)
# Test conversion from strings and various anomalies
for s, v in L:
for sign in "", "+", "-":
for prefix in "", " ", "\t", " \t\t ":
ss = prefix + sign + s
vv = v
if sign == "-" and v is not ValueError:
vv = -v
try:
self.assertEqual(int(ss), vv)
except ValueError:
pass
s = repr(-1-sys.maxsize)
x = int(s)
self.assertEqual(x+1, -sys.maxsize)
self.assertIsInstance(x, int)
# should return int
self.assertEqual(int(s[1:]), sys.maxsize+1)
# should return int
x = int(1e100)
self.assertIsInstance(x, int)
x = int(-1e100)
self.assertIsInstance(x, int)
# SF bug 434186: 0x80000000/2 != 0x80000000>>1.
# Worked by accident in Windows release build, but failed in debug build.
# Failed in all Linux builds.
x = -1-sys.maxsize
self.assertEqual(x >> 1, x//2)
self.assertRaises(ValueError, int, '123\0')
self.assertRaises(ValueError, int, '53', 40)
# SF bug 1545497: embedded NULs were not detected with
# explicit base
self.assertRaises(ValueError, int, '123\0', 10)
self.assertRaises(ValueError, int, '123\x00 245', 20)
x = int('1' * 600)
self.assertIsInstance(x, int)
self.assertRaises(TypeError, int, 1, 12)
self.assertEqual(int('0o123', 0), 83)
self.assertEqual(int('0x123', 16), 291)
# Bug 1679: "0x" is not a valid hex literal
self.assertRaises(ValueError, int, "0x", 16)
self.assertRaises(ValueError, int, "0x", 0)
self.assertRaises(ValueError, int, "0o", 8)
self.assertRaises(ValueError, int, "0o", 0)
self.assertRaises(ValueError, int, "0b", 2)
self.assertRaises(ValueError, int, "0b", 0)
# Bug #3236: Return small longs from PyLong_FromString
self.assertTrue(int("10") is 10)
self.assertTrue(int("-1") is -1)
# SF bug 1334662: int(string, base) wrong answers
# Various representations of 2**32 evaluated to 0
# rather than 2**32 in previous versions
self.assertEqual(int('100000000000000000000000000000000', 2), 4294967296)
self.assertEqual(int('102002022201221111211', 3), 4294967296)
self.assertEqual(int('10000000000000000', 4), 4294967296)
self.assertEqual(int('32244002423141', 5), 4294967296)
self.assertEqual(int('1550104015504', 6), 4294967296)
self.assertEqual(int('211301422354', 7), 4294967296)
self.assertEqual(int('40000000000', 8), 4294967296)
self.assertEqual(int('12068657454', 9), 4294967296)
self.assertEqual(int('4294967296', 10), 4294967296)
self.assertEqual(int('1904440554', 11), 4294967296)
self.assertEqual(int('9ba461594', 12), 4294967296)
self.assertEqual(int('535a79889', 13), 4294967296)
self.assertEqual(int('2ca5b7464', 14), 4294967296)
self.assertEqual(int('1a20dcd81', 15), 4294967296)
self.assertEqual(int('100000000', 16), 4294967296)
self.assertEqual(int('a7ffda91', 17), 4294967296)
self.assertEqual(int('704he7g4', 18), 4294967296)
self.assertEqual(int('4f5aff66', 19), 4294967296)
self.assertEqual(int('3723ai4g', 20), 4294967296)
self.assertEqual(int('281d55i4', 21), 4294967296)
self.assertEqual(int('1fj8b184', 22), 4294967296)
self.assertEqual(int('1606k7ic', 23), 4294967296)
self.assertEqual(int('mb994ag', 24), 4294967296)
self.assertEqual(int('hek2mgl', 25), 4294967296)
self.assertEqual(int('dnchbnm', 26), 4294967296)
self.assertEqual(int('b28jpdm', 27), 4294967296)
self.assertEqual(int('8pfgih4', 28), 4294967296)
self.assertEqual(int('76beigg', 29), 4294967296)
self.assertEqual(int('5qmcpqg', 30), 4294967296)
self.assertEqual(int('4q0jto4', 31), 4294967296)
self.assertEqual(int('4000000', 32), 4294967296)
self.assertEqual(int('3aokq94', 33), 4294967296)
self.assertEqual(int('2qhxjli', 34), 4294967296)
self.assertEqual(int('2br45qb', 35), 4294967296)
self.assertEqual(int('1z141z4', 36), 4294967296)
# tests with base 0
# this fails on 3.0, but in 2.x the old octal syntax is allowed
self.assertEqual(int(' 0o123 ', 0), 83)
self.assertEqual(int(' 0o123 ', 0), 83)
self.assertEqual(int('000', 0), 0)
self.assertEqual(int('0o123', 0), 83)
self.assertEqual(int('0x123', 0), 291)
self.assertEqual(int('0b100', 0), 4)
self.assertEqual(int(' 0O123 ', 0), 83)
self.assertEqual(int(' 0X123 ', 0), 291)
self.assertEqual(int(' 0B100 ', 0), 4)
# without base still base 10
self.assertEqual(int('0123'), 123)
self.assertEqual(int('0123', 10), 123)
# tests with prefix and base != 0
self.assertEqual(int('0x123', 16), 291)
self.assertEqual(int('0o123', 8), 83)
self.assertEqual(int('0b100', 2), 4)
self.assertEqual(int('0X123', 16), 291)
self.assertEqual(int('0O123', 8), 83)
self.assertEqual(int('0B100', 2), 4)
# the code has special checks for the first character after the
# type prefix
self.assertRaises(ValueError, int, '0b2', 2)
self.assertRaises(ValueError, int, '0b02', 2)
self.assertRaises(ValueError, int, '0B2', 2)
self.assertRaises(ValueError, int, '0B02', 2)
self.assertRaises(ValueError, int, '0o8', 8)
self.assertRaises(ValueError, int, '0o08', 8)
self.assertRaises(ValueError, int, '0O8', 8)
self.assertRaises(ValueError, int, '0O08', 8)
self.assertRaises(ValueError, int, '0xg', 16)
self.assertRaises(ValueError, int, '0x0g', 16)
self.assertRaises(ValueError, int, '0Xg', 16)
self.assertRaises(ValueError, int, '0X0g', 16)
# SF bug 1334662: int(string, base) wrong answers
# Checks for proper evaluation of 2**32 + 1
self.assertEqual(int('100000000000000000000000000000001', 2), 4294967297)
self.assertEqual(int('102002022201221111212', 3), 4294967297)
self.assertEqual(int('10000000000000001', 4), 4294967297)
self.assertEqual(int('32244002423142', 5), 4294967297)
self.assertEqual(int('1550104015505', 6), 4294967297)
self.assertEqual(int('211301422355', 7), 4294967297)
self.assertEqual(int('40000000001', 8), 4294967297)
self.assertEqual(int('12068657455', 9), 4294967297)
self.assertEqual(int('4294967297', 10), 4294967297)
self.assertEqual(int('1904440555', 11), 4294967297)
self.assertEqual(int('9ba461595', 12), 4294967297)
self.assertEqual(int('535a7988a', 13), 4294967297)
self.assertEqual(int('2ca5b7465', 14), 4294967297)
self.assertEqual(int('1a20dcd82', 15), 4294967297)
self.assertEqual(int('100000001', 16), 4294967297)
self.assertEqual(int('a7ffda92', 17), 4294967297)
self.assertEqual(int('704he7g5', 18), 4294967297)
self.assertEqual(int('4f5aff67', 19), 4294967297)
self.assertEqual(int('3723ai4h', 20), 4294967297)
self.assertEqual(int('281d55i5', 21), 4294967297)
self.assertEqual(int('1fj8b185', 22), 4294967297)
self.assertEqual(int('1606k7id', 23), 4294967297)
self.assertEqual(int('mb994ah', 24), 4294967297)
self.assertEqual(int('hek2mgm', 25), 4294967297)
self.assertEqual(int('dnchbnn', 26), 4294967297)
self.assertEqual(int('b28jpdn', 27), 4294967297)
self.assertEqual(int('8pfgih5', 28), 4294967297)
self.assertEqual(int('76beigh', 29), 4294967297)
self.assertEqual(int('5qmcpqh', 30), 4294967297)
self.assertEqual(int('4q0jto5', 31), 4294967297)
self.assertEqual(int('4000001', 32), 4294967297)
self.assertEqual(int('3aokq95', 33), 4294967297)
self.assertEqual(int('2qhxjlj', 34), 4294967297)
self.assertEqual(int('2br45qc', 35), 4294967297)
self.assertEqual(int('1z141z5', 36), 4294967297)
def test_intconversion(self):
# Test __int__()
class ClassicMissingMethods:
pass
self.assertRaises(TypeError, int, ClassicMissingMethods())
class MissingMethods(object):
pass
self.assertRaises(TypeError, int, MissingMethods())
class Foo0:
def __int__(self):
return 42
class Foo1(object):
def __int__(self):
return 42
class Foo2(int):
def __int__(self):
return 42
class Foo3(int):
def __int__(self):
return self
class Foo4(int):
def __int__(self):
return 42
class Foo5(int):
def __int__(self):
return 42.
self.assertEqual(int(Foo0()), 42)
self.assertEqual(int(Foo1()), 42)
self.assertEqual(int(Foo2()), 42)
self.assertEqual(int(Foo3()), 0)
self.assertEqual(int(Foo4()), 42)
self.assertRaises(TypeError, int, Foo5())
class Classic:
pass
for base in (object, Classic):
class IntOverridesTrunc(base):
def __int__(self):
return 42
def __trunc__(self):
return -12
self.assertEqual(int(IntOverridesTrunc()), 42)
class JustTrunc(base):
def __trunc__(self):
return 42
self.assertEqual(int(JustTrunc()), 42)
for trunc_result_base in (object, Classic):
class Integral(trunc_result_base):
def __int__(self):
return 42
class TruncReturnsNonInt(base):
def __trunc__(self):
return Integral()
self.assertEqual(int(TruncReturnsNonInt()), 42)
class NonIntegral(trunc_result_base):
def __trunc__(self):
# Check that we avoid infinite recursion.
return NonIntegral()
class TruncReturnsNonIntegral(base):
def __trunc__(self):
return NonIntegral()
try:
int(TruncReturnsNonIntegral())
except TypeError as e:
self.assertEqual(str(e),
"__trunc__ returned non-Integral"
" (type NonIntegral)")
else:
self.fail("Failed to raise TypeError with %s" %
((base, trunc_result_base),))
def test_error_message(self):
testlist = ('\xbd', '123\xbd', ' 123 456 ')
for s in testlist:
try:
int(s)
except ValueError as e:
self.assertIn(s.strip(), e.args[0])
else:
self.fail("Expected int(%r) to raise a ValueError", s)
def test_main():
run_unittest(IntTestCases)
if __name__ == "__main__":
test_main()
| gpl-3.0 |
mzdaniel/oh-mainline | vendor/packages/python-otp/otp/hash.py | 16 | 2386 | import struct
class BaseHash:
def __init__(self, name):
self.name = name
def prepare(self, hash):
if type(hash) is long:
newhash = ''
for i in range(56, -8, -8):
newhash += chr((hash>>i)%256)
hash = newhash
return hash
class HashMD5(BaseHash):
def __init__(self, name):
BaseHash.__init__(self, name)
import md5
self._hash = md5.md5
self.name = name
def hash(self, hash):
hash = self.prepare(hash)
return self.fold(self._hash(hash).digest())
def fold(self, hash):
result = map(ord, hash)
n = 0L
for i in range(8):
result[i] ^= result[i+8]
n <<= 8
n |= result[i]
return n
class HashSHA1(BaseHash):
def __init__(self, name):
BaseHash.__init__(self, name)
import sha
self._hash = sha.sha
self.name = name
def hash(self, hash):
hash = self.prepare(hash)
return self.fold(self._hash(hash).digest())
def fold(self, hash):
hash = map(ord, hash)
n = 0L
n |= hash[3]^hash[11]^hash[19]
n <<= 8
n |= hash[2]^hash[10]^hash[18]
n <<= 8
n |= hash[1]^hash[9]^hash[17]
n <<= 8
n |= hash[0]^hash[8]^hash[16]
n <<= 8
n |= hash[7]^hash[15]
n <<= 8
n |= hash[6]^hash[14]
n <<= 8
n |= hash[5]^hash[13]
n <<= 8
n |= hash[4]^hash[12]
return n
class HashMD4MHASH(HashMD5):
def __init__(self, name):
BaseHash.__init__(self, name)
import mhash
self._hash = mhash.MHASH
self._md4 = mhash.MHASH_MD4
self.name = name
def hash(self, hash):
hash = self.prepare(hash)
return self.fold(self._hash(self._md4, hash).digest())
def test():
try:
import mhash
except ImportError:
return 0
return 1
test = staticmethod(test)
class HashMD4Crypto(HashMD5):
def __init__(self, name):
BaseHash.__init__(self, name)
from Crypto.Hash import MD4
self._hash = MD4.new
self.name = name
def test():
try:
from Crypto.Hash import MD4
except ImportError:
return 0
return 1
test = staticmethod(test)
| agpl-3.0 |
rdio/sentry | tests/sentry/udp/tests.py | 4 | 1167 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from sentry.models import Project, User
from sentry.services.udp import SentryUDPServer
from sentry.testutils import TestCase, get_auth_header
class SentryUDPTest(TestCase):
def setUp(self):
self.address = (('0.0.0.0', 0))
self.server = SentryUDPServer(*self.address)
self.user = User.objects.create(username='coreapi')
self.project = Project.objects.create(owner=self.user, name='Foo', slug='bar')
self.pm = self.project.team.member_set.get_or_create(user=self.user)[0]
self.pk = self.project.key_set.get_or_create(user=self.user)[0]
def test_failure(self):
self.assertNotEquals(None, self.server.handle('deadbeef', self.address))
def test_success(self):
data = {'message': 'hello', 'server_name': 'not_dcramer.local', 'level': 40, 'site': 'not_a_real_site'}
message = self._makeMessage(data)
header = get_auth_header('udpTest', api_key=self.pk.public_key, secret_key=self.pk.secret_key)
packet = header + '\n\n' + message
self.assertEquals(None, self.server.handle(packet, self.address))
| bsd-3-clause |
hoonkim/Lesser | parsers/tests/test_http_parser.py | 1 | 1060 | from unittest import TestCase
from parsers.http_parser import *
__author__ = 'kimothy'
class TestHttpParser(TestCase):
def test_parse_url(self):
testList = parse_url("//foo/bar//")
self.assertEqual(testList[0], "foo")
self.assertEqual(testList[1], "bar")
self.assertEqual(len(testList), 2)
def test_parse_body(self):
jsonExample = '{\
"error": {\
"message": "(#803) Cannot query users by their username (kimothykr)",\
"type": "OAuthException",\
"code": 803,\
"fbtrace_id": "DtEEUjyuC6h"\
}\
}'
with self.assertRaises(Exception) :
testDictionary = parse_body('{error:te')
testDictionary = parse_body(jsonExample)
self.assertEqual(testDictionary["error"]["code"], 803)
self.assertEqual(testDictionary["error"]["fbtrace_id"], "DtEEUjyuC6h")
self.assertEqual(len(testDictionary), 1)
self.assertEqual(len(testDictionary["error"]), 4)
| mit |
kashev/kashev.rocks | manage.py | 1 | 1238 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# kashev.rocks
# Kashev Dalmia - [email protected]
from flask.ext.script import Manager
from flask.ext.assets import ManageAssets
from src.kashevrocks import app
from src.assets import register_assets
manager = Manager(app)
assets_env = register_assets(app)
manager.add_command("assets", ManageAssets(assets_env))
@manager.command
def liveserver(debug=True):
""" Runs a live reloading server which watches non-python code as well. """
import livereload
app.debug = debug
assets_env.debug = debug
server = livereload.Server(app.wsgi_app)
server.watch('src/')
server.serve()
@manager.command
def clean():
""" Cleans up all generated and cache files from the project. """
import shutil
import os
paths_to_clean = ['src/static/.webassets-cache',
'src/static/generated',
'debug.log']
for path in paths_to_clean:
try:
shutil.rmtree(path)
except NotADirectoryError:
os.remove(path) # It's a file, not a directory
except FileNotFoundError:
pass # They're not there, that's fine.
if __name__ == "__main__":
manager.run()
| mit |
brayden2544/Mystuff-final | account/cached_templates/templates/password_reset.html.py | 1 | 1886 | # -*- coding:ascii -*-
from mako import runtime, filters, cache
UNDEFINED = runtime.UNDEFINED
__M_dict_builtin = dict
__M_locals_builtin = locals
_magic_number = 9
_modified_time = 1397087641.387625
_enable_loop = True
_template_filename = 'C:\\app\\account\\templates/password_reset.html'
_template_uri = 'password_reset.html'
_source_encoding = 'ascii'
import os, os.path, re
_exports = ['content']
def _mako_get_namespace(context, name):
try:
return context.namespaces[(__name__, name)]
except KeyError:
_mako_generate_namespaces(context)
return context.namespaces[(__name__, name)]
def _mako_generate_namespaces(context):
pass
def _mako_inherit(template, context):
_mako_generate_namespaces(context)
return runtime._inherit_from(context, 'base_template.htm', _template_uri)
def render_body(context,**pageargs):
__M_caller = context.caller_stack._push_frame()
try:
__M_locals = __M_dict_builtin(pageargs=pageargs)
def content():
return render_content(context._locals(__M_locals))
__M_writer = context.writer()
# SOURCE LINE 2
__M_writer('\n\n\n')
if 'parent' not in context._data or not hasattr(context._data['parent'], 'content'):
context['self'].content(**pageargs)
# SOURCE LINE 12
__M_writer(' \n\n\n')
return ''
finally:
context.caller_stack._pop_frame()
def render_content(context,**pageargs):
__M_caller = context.caller_stack._push_frame()
try:
def content():
return render_content(context)
__M_writer = context.writer()
# SOURCE LINE 5
__M_writer('\n \n<h3>Password Reset</h3>\n\n<p>Your password has been reset. Please log in again with your new password.</p>\n\t\n\n')
return ''
finally:
context.caller_stack._pop_frame()
| apache-2.0 |
nathanial/lettuce | tests/integration/lib/Django-1.3/tests/modeltests/model_inheritance/models.py | 118 | 3888 | """
XX. Model inheritance
Model inheritance exists in two varieties:
- abstract base classes which are a way of specifying common
information inherited by the subclasses. They don't exist as a separate
model.
- non-abstract base classes (the default), which are models in their own
right with their own database tables and everything. Their subclasses
have references back to them, created automatically.
Both styles are demonstrated here.
"""
from django.db import models
#
# Abstract base classes
#
class CommonInfo(models.Model):
name = models.CharField(max_length=50)
age = models.PositiveIntegerField()
class Meta:
abstract = True
ordering = ['name']
def __unicode__(self):
return u'%s %s' % (self.__class__.__name__, self.name)
class Worker(CommonInfo):
job = models.CharField(max_length=50)
class Student(CommonInfo):
school_class = models.CharField(max_length=10)
class Meta:
pass
class StudentWorker(Student, Worker):
pass
#
# Abstract base classes with related models
#
class Post(models.Model):
title = models.CharField(max_length=50)
class Attachment(models.Model):
post = models.ForeignKey(Post, related_name='attached_%(class)s_set')
content = models.TextField()
class Meta:
abstract = True
def __unicode__(self):
return self.content
class Comment(Attachment):
is_spam = models.BooleanField()
class Link(Attachment):
url = models.URLField()
#
# Multi-table inheritance
#
class Chef(models.Model):
name = models.CharField(max_length=50)
def __unicode__(self):
return u"%s the chef" % self.name
class Place(models.Model):
name = models.CharField(max_length=50)
address = models.CharField(max_length=80)
def __unicode__(self):
return u"%s the place" % self.name
class Rating(models.Model):
rating = models.IntegerField(null=True, blank=True)
class Meta:
abstract = True
ordering = ['-rating']
class Restaurant(Place, Rating):
serves_hot_dogs = models.BooleanField()
serves_pizza = models.BooleanField()
chef = models.ForeignKey(Chef, null=True, blank=True)
class Meta(Rating.Meta):
db_table = 'my_restaurant'
def __unicode__(self):
return u"%s the restaurant" % self.name
class ItalianRestaurant(Restaurant):
serves_gnocchi = models.BooleanField()
def __unicode__(self):
return u"%s the italian restaurant" % self.name
class Supplier(Place):
customers = models.ManyToManyField(Restaurant, related_name='provider')
def __unicode__(self):
return u"%s the supplier" % self.name
class ParkingLot(Place):
# An explicit link to the parent (we can control the attribute name).
parent = models.OneToOneField(Place, primary_key=True, parent_link=True)
main_site = models.ForeignKey(Place, related_name='lot')
def __unicode__(self):
return u"%s the parking lot" % self.name
#
# Abstract base classes with related models where the sub-class has the
# same name in a different app and inherits from the same abstract base
# class.
# NOTE: The actual API tests for the following classes are in
# model_inheritance_same_model_name/models.py - They are defined
# here in order to have the name conflict between apps
#
class Title(models.Model):
title = models.CharField(max_length=50)
class NamedURL(models.Model):
title = models.ForeignKey(Title, related_name='attached_%(app_label)s_%(class)s_set')
url = models.URLField()
class Meta:
abstract = True
class Copy(NamedURL):
content = models.TextField()
def __unicode__(self):
return self.content
class Mixin(object):
def __init__(self):
self.other_attr = 1
super(Mixin, self).__init__()
class MixinModel(models.Model, Mixin):
pass
| gpl-3.0 |
AtsushiSakai/PythonRobotics | PathPlanning/Eta3SplinePath/eta3_spline_path.py | 1 | 13649 | """
eta^3 polynomials planner
author: Joe Dinius, Ph.D (https://jwdinius.github.io)
Atsushi Sakai (@Atsushi_twi)
Ref:
- [eta^3-Splines for the Smooth Path Generation of Wheeled Mobile Robots]
(https://ieeexplore.ieee.org/document/4339545/)
"""
import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import quad
# NOTE: *_pose is a 3-array:
# 0 - x coord, 1 - y coord, 2 - orientation angle \theta
show_animation = True
class Eta3Path(object):
"""
Eta3Path
input
segments: a list of `Eta3PathSegment` instances
defining a continuous path
"""
def __init__(self, segments):
# ensure input has the correct form
assert(isinstance(segments, list) and isinstance(
segments[0], Eta3PathSegment))
# ensure that each segment begins from the previous segment's end (continuity)
for r, s in zip(segments[:-1], segments[1:]):
assert(np.array_equal(r.end_pose, s.start_pose))
self.segments = segments
def calc_path_point(self, u):
"""
Eta3Path::calc_path_point
input
normalized interpolation point along path object, 0 <= u <= len(self.segments)
returns
2d (x,y) position vector
"""
assert(0 <= u <= len(self.segments))
if np.isclose(u, len(self.segments)):
segment_idx = len(self.segments) - 1
u = 1.
else:
segment_idx = int(np.floor(u))
u -= segment_idx
return self.segments[segment_idx].calc_point(u)
class Eta3PathSegment(object):
"""
Eta3PathSegment - constructs an eta^3 path segment based on desired
shaping, eta, and curvature vector, kappa. If either, or both,
of eta and kappa are not set during initialization,
they will default to zeros.
input
start_pose - starting pose array (x, y, \theta)
end_pose - ending pose array (x, y, \theta)
eta - shaping parameters, default=None
kappa - curvature parameters, default=None
"""
def __init__(self, start_pose, end_pose, eta=None, kappa=None):
# make sure inputs are of the correct size
assert(len(start_pose) == 3 and len(start_pose) == len(end_pose))
self.start_pose = start_pose
self.end_pose = end_pose
# if no eta is passed, initialize it to array of zeros
if not eta:
eta = np.zeros((6,))
else:
# make sure that eta has correct size
assert(len(eta) == 6)
# if no kappa is passed, initialize to array of zeros
if not kappa:
kappa = np.zeros((4,))
else:
assert(len(kappa) == 4)
# set up angle cosines and sines for simpler computations below
ca = np.cos(start_pose[2])
sa = np.sin(start_pose[2])
cb = np.cos(end_pose[2])
sb = np.sin(end_pose[2])
# 2 dimensions (x,y) x 8 coefficients per dimension
self.coeffs = np.empty((2, 8))
# constant terms (u^0)
self.coeffs[0, 0] = start_pose[0]
self.coeffs[1, 0] = start_pose[1]
# linear (u^1)
self.coeffs[0, 1] = eta[0] * ca
self.coeffs[1, 1] = eta[0] * sa
# quadratic (u^2)
self.coeffs[0, 2] = 1. / 2 * eta[2] * \
ca - 1. / 2 * eta[0]**2 * kappa[0] * sa
self.coeffs[1, 2] = 1. / 2 * eta[2] * \
sa + 1. / 2 * eta[0]**2 * kappa[0] * ca
# cubic (u^3)
self.coeffs[0, 3] = 1. / 6 * eta[4] * ca - 1. / 6 * \
(eta[0]**3 * kappa[1] + 3. * eta[0] * eta[2] * kappa[0]) * sa
self.coeffs[1, 3] = 1. / 6 * eta[4] * sa + 1. / 6 * \
(eta[0]**3 * kappa[1] + 3. * eta[0] * eta[2] * kappa[0]) * ca
# quartic (u^4)
tmp1 = 35. * (end_pose[0] - start_pose[0])
tmp2 = (20. * eta[0] + 5 * eta[2] + 2. / 3 * eta[4]) * ca
tmp3 = (5. * eta[0] ** 2 * kappa[0] + 2. / 3 * eta[0] ** 3 * kappa[1]
+ 2. * eta[0] * eta[2] * kappa[0]) * sa
tmp4 = (15. * eta[1] - 5. / 2 * eta[3] + 1. / 6 * eta[5]) * cb
tmp5 = (5. / 2 * eta[1] ** 2 * kappa[2] - 1. / 6 * eta[1] ** 3 *
kappa[3] - 1. / 2 * eta[1] * eta[3] * kappa[2]) * sb
self.coeffs[0, 4] = tmp1 - tmp2 + tmp3 - tmp4 - tmp5
tmp1 = 35. * (end_pose[1] - start_pose[1])
tmp2 = (20. * eta[0] + 5. * eta[2] + 2. / 3 * eta[4]) * sa
tmp3 = (5. * eta[0] ** 2 * kappa[0] + 2. / 3 * eta[0] ** 3 * kappa[1]
+ 2. * eta[0] * eta[2] * kappa[0]) * ca
tmp4 = (15. * eta[1] - 5. / 2 * eta[3] + 1. / 6 * eta[5]) * sb
tmp5 = (5. / 2 * eta[1] ** 2 * kappa[2] - 1. / 6 * eta[1] ** 3 *
kappa[3] - 1. / 2 * eta[1] * eta[3] * kappa[2]) * cb
self.coeffs[1, 4] = tmp1 - tmp2 - tmp3 - tmp4 + tmp5
# quintic (u^5)
tmp1 = -84. * (end_pose[0] - start_pose[0])
tmp2 = (45. * eta[0] + 10. * eta[2] + eta[4]) * ca
tmp3 = (10. * eta[0] ** 2 * kappa[0] + eta[0] ** 3 * kappa[1] + 3. *
eta[0] * eta[2] * kappa[0]) * sa
tmp4 = (39. * eta[1] - 7. * eta[3] + 1. / 2 * eta[5]) * cb
tmp5 = + (7. * eta[1] ** 2 * kappa[2] - 1. / 2 * eta[1] ** 3 * kappa[3]
- 3. / 2 * eta[1] * eta[3] * kappa[2]) * sb
self.coeffs[0, 5] = tmp1 + tmp2 - tmp3 + tmp4 + tmp5
tmp1 = -84. * (end_pose[1] - start_pose[1])
tmp2 = (45. * eta[0] + 10. * eta[2] + eta[4]) * sa
tmp3 = (10. * eta[0] ** 2 * kappa[0] + eta[0] ** 3 * kappa[1] + 3. *
eta[0] * eta[2] * kappa[0]) * ca
tmp4 = (39. * eta[1] - 7. * eta[3] + 1. / 2 * eta[5]) * sb
tmp5 = - (7. * eta[1] ** 2 * kappa[2] - 1. / 2 * eta[1] ** 3 * kappa[3]
- 3. / 2 * eta[1] * eta[3] * kappa[2]) * cb
self.coeffs[1, 5] = tmp1 + tmp2 + tmp3 + tmp4 + tmp5
# sextic (u^6)
tmp1 = 70. * (end_pose[0] - start_pose[0])
tmp2 = (36. * eta[0] + 15. / 2 * eta[2] + 2. / 3 * eta[4]) * ca
tmp3 = + (15. / 2 * eta[0] ** 2 * kappa[0] + 2. / 3 * eta[0] ** 3 *
kappa[1] + 2. * eta[0] * eta[2] * kappa[0]) * sa
tmp4 = (34. * eta[1] - 13. / 2 * eta[3] + 1. / 2 * eta[5]) * cb
tmp5 = - (13. / 2 * eta[1] ** 2 * kappa[2] - 1. / 2 * eta[1] ** 3 *
kappa[3] - 3. / 2 * eta[1] * eta[3] * kappa[2]) * sb
self.coeffs[0, 6] = tmp1 - tmp2 + tmp3 - tmp4 + tmp5
tmp1 = 70. * (end_pose[1] - start_pose[1])
tmp2 = - (36. * eta[0] + 15. / 2 * eta[2] + 2. / 3 * eta[4]) * sa
tmp3 = - (15. / 2 * eta[0] ** 2 * kappa[0] + 2. / 3 * eta[0] ** 3 *
kappa[1] + 2. * eta[0] * eta[2] * kappa[0]) * ca
tmp4 = - (34. * eta[1] - 13. / 2 * eta[3] + 1. / 2 * eta[5]) * sb
tmp5 = + (13. / 2 * eta[1] ** 2 * kappa[2] - 1. / 2 * eta[1] ** 3 *
kappa[3] - 3. / 2 * eta[1] * eta[3] * kappa[2]) * cb
self.coeffs[1, 6] = tmp1 + tmp2 + tmp3 + tmp4 + tmp5
# septic (u^7)
tmp1 = -20. * (end_pose[0] - start_pose[0])
tmp2 = (10. * eta[0] + 2. * eta[2] + 1. / 6 * eta[4]) * ca
tmp3 = - (2. * eta[0] ** 2 * kappa[0] + 1. / 6 * eta[0] ** 3 * kappa[1]
+ 1. / 2 * eta[0] * eta[2] * kappa[0]) * sa
tmp4 = (10. * eta[1] - 2. * eta[3] + 1. / 6 * eta[5]) * cb
tmp5 = (2. * eta[1] ** 2 * kappa[2] - 1. / 6 * eta[1] ** 3 * kappa[3]
- 1. / 2 * eta[1] * eta[3] * kappa[2]) * sb
self.coeffs[0, 7] = tmp1 + tmp2 + tmp3 + tmp4 + tmp5
tmp1 = -20. * (end_pose[1] - start_pose[1])
tmp2 = (10. * eta[0] + 2. * eta[2] + 1. / 6 * eta[4]) * sa
tmp3 = (2. * eta[0] ** 2 * kappa[0] + 1. / 6 * eta[0] ** 3 * kappa[1]
+ 1. / 2 * eta[0] * eta[2] * kappa[0]) * ca
tmp4 = (10. * eta[1] - 2. * eta[3] + 1. / 6 * eta[5]) * sb
tmp5 = - (2. * eta[1] ** 2 * kappa[2] - 1. / 6 * eta[1] ** 3 * kappa[3]
- 1. / 2 * eta[1] * eta[3] * kappa[2]) * cb
self.coeffs[1, 7] = tmp1 + tmp2 + tmp3 + tmp4 + tmp5
self.s_dot = lambda u: max(np.linalg.norm(
self.coeffs[:, 1:].dot(np.array(
[1, 2. * u, 3. * u**2, 4. * u**3,
5. * u**4, 6. * u**5, 7. * u**6]))), 1e-6)
self.f_length = lambda ue: quad(lambda u: self.s_dot(u), 0, ue)
self.segment_length = self.f_length(1)[0]
def calc_point(self, u):
"""
Eta3PathSegment::calc_point
input
u - parametric representation of a point along the segment, 0 <= u <= 1
returns
(x,y) of point along the segment
"""
assert(0 <= u <= 1)
return self.coeffs.dot(np.array([1, u, u**2, u**3, u**4, u**5, u**6, u**7]))
def calc_deriv(self, u, order=1):
"""
Eta3PathSegment::calc_deriv
input
u - parametric representation of a point along the segment, 0 <= u <= 1
returns
(d^nx/du^n,d^ny/du^n) of point along the segment, for 0 < n <= 2
"""
assert(0 <= u <= 1)
assert(0 < order <= 2)
if order == 1:
return self.coeffs[:, 1:].dot(np.array([1, 2. * u, 3. * u**2, 4. * u**3, 5. * u**4, 6. * u**5, 7. * u**6]))
return self.coeffs[:, 2:].dot(np.array([2, 6. * u, 12. * u**2, 20. * u**3, 30. * u**4, 42. * u**5]))
def test1():
for i in range(10):
path_segments = []
# segment 1: lane-change curve
start_pose = [0, 0, 0]
end_pose = [4, 3.0, 0]
# NOTE: The ordering on kappa is [kappa_A, kappad_A, kappa_B, kappad_B], with kappad_* being the curvature derivative
kappa = [0, 0, 0, 0]
eta = [i, i, 0, 0, 0, 0]
path_segments.append(Eta3PathSegment(
start_pose=start_pose, end_pose=end_pose, eta=eta, kappa=kappa))
path = Eta3Path(path_segments)
# interpolate at several points along the path
ui = np.linspace(0, len(path_segments), 1001)
pos = np.empty((2, ui.size))
for j, u in enumerate(ui):
pos[:, j] = path.calc_path_point(u)
if show_animation:
# plot the path
plt.plot(pos[0, :], pos[1, :])
# for stopping simulation with the esc key.
plt.gcf().canvas.mpl_connect(
'key_release_event',
lambda event: [exit(0) if event.key == 'escape' else None])
plt.pause(1.0)
if show_animation:
plt.close("all")
def test2():
for i in range(10):
path_segments = []
# segment 1: lane-change curve
start_pose = [0, 0, 0]
end_pose = [4, 3.0, 0]
# NOTE: The ordering on kappa is [kappa_A, kappad_A, kappa_B, kappad_B], with kappad_* being the curvature derivative
kappa = [0, 0, 0, 0]
eta = [0, 0, (i - 5) * 20, (5 - i) * 20, 0, 0]
path_segments.append(Eta3PathSegment(
start_pose=start_pose, end_pose=end_pose, eta=eta, kappa=kappa))
path = Eta3Path(path_segments)
# interpolate at several points along the path
ui = np.linspace(0, len(path_segments), 1001)
pos = np.empty((2, ui.size))
for j, u in enumerate(ui):
pos[:, j] = path.calc_path_point(u)
if show_animation:
# plot the path
plt.plot(pos[0, :], pos[1, :])
plt.pause(1.0)
if show_animation:
plt.close("all")
def test3():
path_segments = []
# segment 1: lane-change curve
start_pose = [0, 0, 0]
end_pose = [4, 1.5, 0]
# NOTE: The ordering on kappa is [kappa_A, kappad_A, kappa_B, kappad_B], with kappad_* being the curvature derivative
kappa = [0, 0, 0, 0]
eta = [4.27, 4.27, 0, 0, 0, 0]
path_segments.append(Eta3PathSegment(
start_pose=start_pose, end_pose=end_pose, eta=eta, kappa=kappa))
# segment 2: line segment
start_pose = [4, 1.5, 0]
end_pose = [5.5, 1.5, 0]
kappa = [0, 0, 0, 0]
eta = [0, 0, 0, 0, 0, 0]
path_segments.append(Eta3PathSegment(
start_pose=start_pose, end_pose=end_pose, eta=eta, kappa=kappa))
# segment 3: cubic spiral
start_pose = [5.5, 1.5, 0]
end_pose = [7.4377, 1.8235, 0.6667]
kappa = [0, 0, 1, 1]
eta = [1.88, 1.88, 0, 0, 0, 0]
path_segments.append(Eta3PathSegment(
start_pose=start_pose, end_pose=end_pose, eta=eta, kappa=kappa))
# segment 4: generic twirl arc
start_pose = [7.4377, 1.8235, 0.6667]
end_pose = [7.8, 4.3, 1.8]
kappa = [1, 1, 0.5, 0]
eta = [7, 10, 10, -10, 4, 4]
path_segments.append(Eta3PathSegment(
start_pose=start_pose, end_pose=end_pose, eta=eta, kappa=kappa))
# segment 5: circular arc
start_pose = [7.8, 4.3, 1.8]
end_pose = [5.4581, 5.8064, 3.3416]
kappa = [0.5, 0, 0.5, 0]
eta = [2.98, 2.98, 0, 0, 0, 0]
path_segments.append(Eta3PathSegment(
start_pose=start_pose, end_pose=end_pose, eta=eta, kappa=kappa))
# construct the whole path
path = Eta3Path(path_segments)
# interpolate at several points along the path
ui = np.linspace(0, len(path_segments), 1001)
pos = np.empty((2, ui.size))
for i, u in enumerate(ui):
pos[:, i] = path.calc_path_point(u)
# plot the path
if show_animation:
plt.figure('Path from Reference')
plt.plot(pos[0, :], pos[1, :])
plt.xlabel('x')
plt.ylabel('y')
plt.title('Path')
plt.pause(1.0)
plt.show()
def main():
"""
recreate path from reference (see Table 1)
"""
test1()
test2()
test3()
if __name__ == '__main__':
main()
| mit |
steenzout/python-barcode | docs/conf.py | 1 | 11075 | # -*- coding: utf-8 -*-
#
# Copyright 2010-2013, Thorsten Weimann; 2014, Alexander Shorin; 2016 Pedro Salgado
#
# 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.
#
"""
Sphinx documentation build configuration file.
All configuration values have a default;
values that are commented out serve to show the default.
If extensions (or modules to document with autodoc) are in another directory,
add these directories to sys.path here.
If the directory is relative to the documentation root,
use os.path.abspath to make it absolute, like shown here.
"""
import sys
import os
sys.path.insert(0, os.path.abspath('..'))
import semantic_version
from recommonmark.parser import CommonMarkParser
_package = 'steenzout.barcode'
_version = semantic_version.Version('1.0.0-beta3')
# -- General configuration ------------------------------------------------
# If your documentation needs a minimal Sphinx version, state it here.
#
# needs_sphinx = '1.0'
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.coverage',
'sphinx.ext.napoleon',
'sphinx.ext.viewcode',
]
# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
# The suffix(es) of source filenames.
# You can specify multiple suffix as a list of string:
#
# source_suffix = '.rst'
source_parsers = {
'.md': CommonMarkParser
}
source_suffix = [
'.md',
'.rst'
]
# The encoding of source files.
#
# source_encoding = 'utf-8-sig'
# The master toctree document.
master_doc = 'index'
# General information about the project.
project = _package
author = 'Thorsten Weimann, Alexander Shorin, Pedro Salgado'
copyright = '2010-2013, Thorsten Weimann; 2014, Alexander Shorin; 2016 Pedro Salgado'
# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
# built documents.
#
# The short X.Y version.
version = u'%d.%d' % (_version.major, _version.minor)
# The full version, including alpha/beta/rc tags.
release = version
# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
#
# This is also used if you do content translation via gettext catalogs.
# Usually you set "language" from the command line for these cases.
language = 'en'
# There are two options for replacing |today|: either, you set today to some
# non-false value, then it is used:
#
# today = ''
#
# Else, today_fmt is used as the format for a strftime call.
#
# today_fmt = '%B %d, %Y'
# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
# This patterns also effect to html_static_path and html_extra_path
exclude_patterns = ['_build', '_templates', 'Thumbs.db', '.DS_Store']
# The reST default role (used for this markup: `text`) to use for all
# documents.
#
# default_role = None
# If true, '()' will be appended to :func: etc. cross-reference text.
#
# add_function_parentheses = True
# If true, the current module name will be prepended to all description
# unit titles (such as .. function::).
#
add_module_names = False
# If true, sectionauthor and moduleauthor directives will be shown in the
# output. They are ignored by default.
#
# show_authors = False
# The name of the Pygments (syntax highlighting) style to use.
pygments_style = 'sphinx'
# A list of ignored prefixes for module index sorting.
# modindex_common_prefix = []
# If true, keep warnings as "system message" paragraphs in the built documents.
# keep_warnings = False
# If true, `todo` and `todoList` produce output, else they produce nothing.
todo_include_todos = False
# -- Options for HTML output ----------------------------------------------
# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
#
html_theme = 'sphinx_rtd_theme'
# Theme options are theme-specific and customize the look and feel of a theme
# further. For a list of options available for each theme, see the
# documentation.
#
html_theme_options = {
}
# Add any paths that contain custom themes here, relative to this directory.
# html_theme_path = []
# The name for this set of Sphinx documents.
# "<project> v<release> documentation" by default.
#
# html_title = u''
# A shorter title for the navigation bar. Default is the same as html_title.
#
# html_short_title = None
# The name of an image file (relative to this directory) to place at the top
# of the sidebar.
#
# html_logo = None
# The name of an image file (relative to this directory) to use as a favicon of
# the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32
# pixels large.
#
# html_favicon = None
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']
# Add any extra paths that contain custom files (such as robots.txt or
# .htaccess) here, relative to this directory. These files are copied
# directly to the root of the documentation.
#
# html_extra_path = []
# If not None, a 'Last updated on:' timestamp is inserted at every page
# bottom, using the given strftime format.
# The empty string is equivalent to '%b %d, %Y'.
#
# html_last_updated_fmt = None
# If true, SmartyPants will be used to convert quotes and dashes to
# typographically correct entities.
#
# html_use_smartypants = True
# Custom sidebar templates, maps document names to template names.
#
# html_sidebars = {}
# Additional templates that should be rendered to pages, maps page names to
# template names.
#
# html_additional_pages = {}
# If false, no module index is generated.
#
# html_domain_indices = True
# If false, no index is generated.
#
# html_use_index = True
# If true, the index is split into individual pages for each letter.
#
# html_split_index = False
# If true, links to the reST sources are added to the pages.
#
html_show_sourcelink = False
# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
#
# html_show_sphinx = True
# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
#
# html_show_copyright = True
# If true, an OpenSearch description file will be output, and all pages will
# contain a <link> tag referring to it. The value of this option must be the
# base URL from which the finished HTML is served.
#
# html_use_opensearch = ''
# This is the file name suffix for HTML files (e.g. ".xhtml").
# html_file_suffix = None
# Language to be used for generating the HTML full-text search index.
# Sphinx supports the following languages:
# 'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja'
# 'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr', 'zh'
#
# html_search_language = 'en'
# A dictionary with options for the search language support, empty by default.
# 'ja' uses this config value.
# 'zh' user can custom change `jieba` dictionary path.
#
# html_search_options = {'type': 'default'}
# The name of a javascript file (relative to the configuration directory) that
# implements a search results scorer. If empty, the default will be used.
#
# html_search_scorer = 'scorer.js'
# Output file base name for HTML help builder.
htmlhelp_basename = u'py_%s' % _package.replace('.', '_')
# -- Options for LaTeX output ---------------------------------------------
# latex_elements = {
# The paper size ('letterpaper' or 'a4paper').
#
# 'papersize': 'letterpaper',
#
# The font size ('10pt', '11pt' or '12pt').
#
# 'pointsize': '10pt',
#
# Additional stuff for the LaTeX preamble.
#
# 'preamble': '',
#
# Latex figure (float) alignment
#
# 'figure_align': 'htbp',
# }
latex_elements = {}
# Grouping the document tree into LaTeX files.
# List of tuples (
# source start file,
# target name,
# title,
# author,
# documentclass [howto, manual, or own class]
# ).
latex_documents = [(
master_doc,
u'py_%s.tex' % _package.replace('.', '_'),
u'%s documentation' % _package,
'Thorsten Weimann, Alexander Shorin, Pedro Salgado',
u'manual'
)]
# The name of an image file (relative to this directory) to place at the top of
# the title page.
#
# latex_logo = None
# For "manual" documents, if this is true, then toplevel headings are parts,
# not chapters.
#
# latex_use_parts = False
# If true, show page references after internal links.
#
# latex_show_pagerefs = False
# If true, show URL addresses after external links.
#
# latex_show_urls = False
# Documents to append as an appendix to all manuals.
#
# latex_appendices = []
# It false, will not define \strong, \code, itleref, \crossref ... but only
# \sphinxstrong, ..., \sphinxtitleref, ... To help avoid clash with user added
# sphinxs.
#
# latex_keep_old_macro_names = True
# If false, no module index is generated.
#
# latex_domain_indices = True
# -- Options for manual page output ---------------------------------------
# One entry per manual page.
# List of tuples (
# source start file,
# name,
# description,
# authors,
# manual section
# ).
man_pages = [(
master_doc,
'py_%s' % _package.replace('.', '_'),
'%s documentation' % _package,
['Thorsten Weimann, Alexander Shorin, Pedro Salgado'],
1
)]
# If true, show URL addresses after external links.
#
# man_show_urls = False
# -- Options for Texinfo output -------------------------------------------
# Grouping the document tree into Texinfo files.
# List of tuples (
# source start file,
# target name,
# title,
# author,
# dir menu entry,
# description,
# category
# ).
texinfo_documents = [(
master_doc,
u'py_%s' % _package.replace('.', '_'),
u'%s documentation' % _package,
'Thorsten Weimann, Alexander Shorin, Pedro Salgado',
u'',
u'%s documentation.' % _package,
u'Miscellaneous'
)]
# Documents to append as an appendix to all manuals.
#
# texinfo_appendices = []
# If false, no module index is generated.
#
# texinfo_domain_indices = True
# How to display URL addresses: 'footnote', 'no', or 'inline'.
#
# texinfo_show_urls = 'footnote'
# If true, do not generate a @detailmenu in the "Top" node's menu.
#
# texinfo_no_detailmenu = False
# Generate API doc
from sphinx import apidoc
apidoc.main(['-f', '-T', '--separate', '-o', 'apidoc', '../steenzout'])
| mit |
SpredfastLegacy/JsBeautify | jsbeautifier/unpackers/packer.py | 76 | 3302 | #
# Unpacker for Dean Edward's p.a.c.k.e.r, a part of javascript beautifier
# by Einar Lielmanis <[email protected]>
#
# written by Stefano Sanfilippo <[email protected]>
#
# usage:
#
# if detect(some_string):
# unpacked = unpack(some_string)
#
"""Unpacker for Dean Edward's p.a.c.k.e.r"""
import re
import string
from jsbeautifier.unpackers import UnpackingError
PRIORITY = 1
def detect(source):
"""Detects whether `source` is P.A.C.K.E.R. coded."""
return source.replace(' ', '').startswith('eval(function(p,a,c,k,e,r')
def unpack(source):
"""Unpacks P.A.C.K.E.R. packed js code."""
payload, symtab, radix, count = _filterargs(source)
if count != len(symtab):
raise UnpackingError('Malformed p.a.c.k.e.r. symtab.')
try:
unbase = Unbaser(radix)
except TypeError:
raise UnpackingError('Unknown p.a.c.k.e.r. encoding.')
def lookup(match):
"""Look up symbols in the synthetic symtab."""
word = match.group(0)
return symtab[unbase(word)] or word
source = re.sub(r'\b\w+\b', lookup, payload)
return _replacestrings(source)
def _filterargs(source):
"""Juice from a source file the four args needed by decoder."""
argsregex = (r"}\('(.*)', *(\d+), *(\d+), *'(.*)'\."
r"split\('\|'\), *(\d+), *(.*)\)\)")
args = re.search(argsregex, source, re.DOTALL).groups()
try:
return args[0], args[3].split('|'), int(args[1]), int(args[2])
except ValueError:
raise UnpackingError('Corrupted p.a.c.k.e.r. data.')
def _replacestrings(source):
"""Strip string lookup table (list) and replace values in source."""
match = re.search(r'var *(_\w+)\=\["(.*?)"\];', source, re.DOTALL)
if match:
varname, strings = match.groups()
startpoint = len(match.group(0))
lookup = strings.split('","')
variable = '%s[%%d]' % varname
for index, value in enumerate(lookup):
source = source.replace(variable % index, '"%s"' % value)
return source[startpoint:]
return source
class Unbaser(object):
"""Functor for a given base. Will efficiently convert
strings to natural numbers."""
ALPHABET = {
62 : '0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ',
95 : (' !"#$%&\'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ'
'[\]^_`abcdefghijklmnopqrstuvwxyz{|}~')
}
def __init__(self, base):
self.base = base
# If base can be handled by int() builtin, let it do it for us
if 2 <= base <= 36:
self.unbase = lambda string: int(string, base)
else:
# Build conversion dictionary cache
try:
self.dictionary = dict((cipher, index) for
index, cipher in enumerate(self.ALPHABET[base]))
except KeyError:
raise TypeError('Unsupported base encoding.')
self.unbase = self._dictunbaser
def __call__(self, string):
return self.unbase(string)
def _dictunbaser(self, string):
"""Decodes a value to an integer."""
ret = 0
for index, cipher in enumerate(string[::-1]):
ret += (self.base ** index) * self.dictionary[cipher]
return ret
| bsd-3-clause |
midma101/AndIWasJustGoingToBed | .venv/lib/python2.7/site-packages/markupsafe/__init__.py | 371 | 8205 | # -*- coding: utf-8 -*-
"""
markupsafe
~~~~~~~~~~
Implements a Markup string.
:copyright: (c) 2010 by Armin Ronacher.
:license: BSD, see LICENSE for more details.
"""
import re
from markupsafe._compat import text_type, string_types, int_types, \
unichr, PY2
__all__ = ['Markup', 'soft_unicode', 'escape', 'escape_silent']
_striptags_re = re.compile(r'(<!--.*?-->|<[^>]*>)')
_entity_re = re.compile(r'&([^;]+);')
class Markup(text_type):
r"""Marks a string as being safe for inclusion in HTML/XML output without
needing to be escaped. This implements the `__html__` interface a couple
of frameworks and web applications use. :class:`Markup` is a direct
subclass of `unicode` and provides all the methods of `unicode` just that
it escapes arguments passed and always returns `Markup`.
The `escape` function returns markup objects so that double escaping can't
happen.
The constructor of the :class:`Markup` class can be used for three
different things: When passed an unicode object it's assumed to be safe,
when passed an object with an HTML representation (has an `__html__`
method) that representation is used, otherwise the object passed is
converted into a unicode string and then assumed to be safe:
>>> Markup("Hello <em>World</em>!")
Markup(u'Hello <em>World</em>!')
>>> class Foo(object):
... def __html__(self):
... return '<a href="#">foo</a>'
...
>>> Markup(Foo())
Markup(u'<a href="#">foo</a>')
If you want object passed being always treated as unsafe you can use the
:meth:`escape` classmethod to create a :class:`Markup` object:
>>> Markup.escape("Hello <em>World</em>!")
Markup(u'Hello <em>World</em>!')
Operations on a markup string are markup aware which means that all
arguments are passed through the :func:`escape` function:
>>> em = Markup("<em>%s</em>")
>>> em % "foo & bar"
Markup(u'<em>foo & bar</em>')
>>> strong = Markup("<strong>%(text)s</strong>")
>>> strong % {'text': '<blink>hacker here</blink>'}
Markup(u'<strong><blink>hacker here</blink></strong>')
>>> Markup("<em>Hello</em> ") + "<foo>"
Markup(u'<em>Hello</em> <foo>')
"""
__slots__ = ()
def __new__(cls, base=u'', encoding=None, errors='strict'):
if hasattr(base, '__html__'):
base = base.__html__()
if encoding is None:
return text_type.__new__(cls, base)
return text_type.__new__(cls, base, encoding, errors)
def __html__(self):
return self
def __add__(self, other):
if isinstance(other, string_types) or hasattr(other, '__html__'):
return self.__class__(super(Markup, self).__add__(self.escape(other)))
return NotImplemented
def __radd__(self, other):
if hasattr(other, '__html__') or isinstance(other, string_types):
return self.escape(other).__add__(self)
return NotImplemented
def __mul__(self, num):
if isinstance(num, int_types):
return self.__class__(text_type.__mul__(self, num))
return NotImplemented
__rmul__ = __mul__
def __mod__(self, arg):
if isinstance(arg, tuple):
arg = tuple(_MarkupEscapeHelper(x, self.escape) for x in arg)
else:
arg = _MarkupEscapeHelper(arg, self.escape)
return self.__class__(text_type.__mod__(self, arg))
def __repr__(self):
return '%s(%s)' % (
self.__class__.__name__,
text_type.__repr__(self)
)
def join(self, seq):
return self.__class__(text_type.join(self, map(self.escape, seq)))
join.__doc__ = text_type.join.__doc__
def split(self, *args, **kwargs):
return list(map(self.__class__, text_type.split(self, *args, **kwargs)))
split.__doc__ = text_type.split.__doc__
def rsplit(self, *args, **kwargs):
return list(map(self.__class__, text_type.rsplit(self, *args, **kwargs)))
rsplit.__doc__ = text_type.rsplit.__doc__
def splitlines(self, *args, **kwargs):
return list(map(self.__class__, text_type.splitlines(self, *args, **kwargs)))
splitlines.__doc__ = text_type.splitlines.__doc__
def unescape(self):
r"""Unescape markup again into an text_type string. This also resolves
known HTML4 and XHTML entities:
>>> Markup("Main » <em>About</em>").unescape()
u'Main \xbb <em>About</em>'
"""
from markupsafe._constants import HTML_ENTITIES
def handle_match(m):
name = m.group(1)
if name in HTML_ENTITIES:
return unichr(HTML_ENTITIES[name])
try:
if name[:2] in ('#x', '#X'):
return unichr(int(name[2:], 16))
elif name.startswith('#'):
return unichr(int(name[1:]))
except ValueError:
pass
return u''
return _entity_re.sub(handle_match, text_type(self))
def striptags(self):
r"""Unescape markup into an text_type string and strip all tags. This
also resolves known HTML4 and XHTML entities. Whitespace is
normalized to one:
>>> Markup("Main » <em>About</em>").striptags()
u'Main \xbb About'
"""
stripped = u' '.join(_striptags_re.sub('', self).split())
return Markup(stripped).unescape()
@classmethod
def escape(cls, s):
"""Escape the string. Works like :func:`escape` with the difference
that for subclasses of :class:`Markup` this function would return the
correct subclass.
"""
rv = escape(s)
if rv.__class__ is not cls:
return cls(rv)
return rv
def make_wrapper(name):
orig = getattr(text_type, name)
def func(self, *args, **kwargs):
args = _escape_argspec(list(args), enumerate(args), self.escape)
#_escape_argspec(kwargs, kwargs.iteritems(), None)
return self.__class__(orig(self, *args, **kwargs))
func.__name__ = orig.__name__
func.__doc__ = orig.__doc__
return func
for method in '__getitem__', 'capitalize', \
'title', 'lower', 'upper', 'replace', 'ljust', \
'rjust', 'lstrip', 'rstrip', 'center', 'strip', \
'translate', 'expandtabs', 'swapcase', 'zfill':
locals()[method] = make_wrapper(method)
# new in python 2.5
if hasattr(text_type, 'partition'):
def partition(self, sep):
return tuple(map(self.__class__,
text_type.partition(self, self.escape(sep))))
def rpartition(self, sep):
return tuple(map(self.__class__,
text_type.rpartition(self, self.escape(sep))))
# new in python 2.6
if hasattr(text_type, 'format'):
format = make_wrapper('format')
# not in python 3
if hasattr(text_type, '__getslice__'):
__getslice__ = make_wrapper('__getslice__')
del method, make_wrapper
def _escape_argspec(obj, iterable, escape):
"""Helper for various string-wrapped functions."""
for key, value in iterable:
if hasattr(value, '__html__') or isinstance(value, string_types):
obj[key] = escape(value)
return obj
class _MarkupEscapeHelper(object):
"""Helper for Markup.__mod__"""
def __init__(self, obj, escape):
self.obj = obj
self.escape = escape
__getitem__ = lambda s, x: _MarkupEscapeHelper(s.obj[x], s.escape)
__unicode__ = __str__ = lambda s: text_type(s.escape(s.obj))
__repr__ = lambda s: str(s.escape(repr(s.obj)))
__int__ = lambda s: int(s.obj)
__float__ = lambda s: float(s.obj)
# we have to import it down here as the speedups and native
# modules imports the markup type which is define above.
try:
from markupsafe._speedups import escape, escape_silent, soft_unicode
except ImportError:
from markupsafe._native import escape, escape_silent, soft_unicode
if not PY2:
soft_str = soft_unicode
__all__.append('soft_str')
| mit |
denfromufa/pythonnet | demo/helloform.py | 8 | 1769 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import clr
SWF = clr.AddReference("System.Windows.Forms")
print (SWF.Location)
import System.Windows.Forms as WinForms
from System.Drawing import Size, Point
class HelloApp(WinForms.Form):
"""A simple hello world app that demonstrates the essentials of
winforms programming and event-based programming in Python."""
def __init__(self):
self.Text = "Hello World From Python"
self.AutoScaleBaseSize = Size(5, 13)
self.ClientSize = Size(392, 117)
h = WinForms.SystemInformation.CaptionHeight
self.MinimumSize = Size(392, (117 + h))
# Create the button
self.button = WinForms.Button()
self.button.Location = Point(160, 64)
self.button.Size = Size(820, 20)
self.button.TabIndex = 2
self.button.Text = "Click Me!"
# Register the event handler
self.button.Click += self.button_Click
# Create the text box
self.textbox = WinForms.TextBox()
self.textbox.Text = "Hello World"
self.textbox.TabIndex = 1
self.textbox.Size = Size(1260, 40)
self.textbox.Location = Point(160, 24)
# Add the controls to the form
self.AcceptButton = self.button
self.Controls.Add(self.button)
self.Controls.Add(self.textbox)
def button_Click(self, sender, args):
"""Button click event handler"""
print ("Click")
WinForms.MessageBox.Show("Please do not press this button again.")
def run(self):
WinForms.Application.Run(self)
def main():
form = HelloApp()
print ("form created")
app = WinForms.Application
print ("app referenced")
app.Run(form)
if __name__ == '__main__':
main()
| mit |
SpOOnman/claws | tools/vcard2xml.py | 11 | 8810 | #!/usr/bin/env python
# -*- coding: latin-1 -*-
"""
Copyright © 2003 Bogdan Sumanariu <[email protected]>
This file 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, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
script name : evolutionvcard2claws.py
script purpose : convert an evolution addressbook VCARD file
into a Claws Mail addressbook
tested with evolution 1.2.x, and 1.4.x
"""
import string
import sys
import time
import os
import StringIO
keywds = ('x-evolution-file-as','fn', 'n','email;internet','nickname', 'url', 'org')
def normalizeLongLines(file):
"""
Skip line breaks after 72 chars
"""
buf = ''
line = file.readline()
while line:
if line[0] == ' ':
buf = buf.rstrip('\n')
line = line.lstrip();
buf += line
else:
buf += line
line = file.readline()
return buf
def getEmailAddress(vcard):
"""
Get email address.
Supported formats:
- email;something
- email;type=something
something := (internet,work,home, other)
"""
for key in vcard:
items = key.split(';')
if len(items) == 2:
if items[0].lower() == 'email':
list = vcard[key]
return list[0]
else:
if key.lower() == 'email':
list = vcard[key]
return list[0]
return ""
def findName(vcard):
"""
Find a version 3.0 name
"""
for key in vcard:
items = key.split(';')
if len(items) == 2:
if items[0].lower() == 'n':
return vcard[key]
else:
if key.lower() == 'n':
return vcard[key]
return None
################################################################################
## reads a vcard and stores as hash pairs key/value where value is a list ##
################################################################################
def readVCARD (buffer) :
"""
skips fom <file> until a 'begin' tag from VCARD is encountered.
from this point starts constructing a map (key, [values] )
VCARD entry format -> tag:value
key <- tag
[values] <- list with the values of <tag> if there are more tags with the same name
"""
r=' '
bgn,end = -1, -1;
d = dict()
while r and bgn < 0 :
r = buffer.readline()
if len (r) == 0 : return dict()
if string.find('begin',string.lower(string.strip(r))) :
bgn = 1
while r and end < 0 :
r = buffer.readline()
s = string.split(string.lower(string.strip(r)),':')
if s[0] <> '' :
if d.has_key(s[0]) :
d[s[0]].append(s[1])
elif len(s) > 1:
d[s[0]] = [s[1]]
else :
d[s[0]] = ['']
if s[0] == 'end' : end = 1
return d
##################################################################################
###############################################################################################
## writes on a given file an xml representation for claws-mail addressbook received as a hash ##
###############################################################################################
def writeXMLREPR (vcard,file,uid) :
"""
based on <vcard> and <uid> writes only recognized tags (the ones defined in <keywds> list)
NOTE: <url> and <org> tag will be written as attributes (there are such tags in claws-mail's
XML schema)
"""
if len (vcard.keys()) == 0 : return
item = vcard.get(keywds[2]);
if item:
name = string.split(item[0],';')
else:
""" version 3.0 n ?"""
name = findName(vcard)
if not name:
return
fn, ln, nick, cn, a = '', '', '', '', ''
if len(name) >= 2 :
fn = name[0]
ln = name[1]
elif len(name) ==1 :
fn = name[0]
if vcard.has_key(keywds[4]) :
nick = vcard.get(keywds[4])[0]
if len(vcard.get(keywds[1])[0]) :
cn = vcard.get(keywds[1])[0]
else :
cn = vcard.get(keywds[0])[0];
a += str('\n<person uid=\"' + str(uid[0]) + '\" first-name=\"' + fn + '\" last-name=\"' + ln
+ '\" nick-name=\"' + nick + '\" cn=\"' + cn + '\" >\n')
a += '\t<address-list>\n'
if vcard.get(keywds[3]) :
for c in vcard.get(keywds[3]) :
uid[0] = uid[0] + 1
a += '\t\t<address uid=\"' + str(uid[0]) + '\" alias=\"' + nick + '\" email=\"' + c + '\" remarks=\"\" />\n'
else :
email = getEmailAddress(vcard)
uid[0] = uid[0]+1
a += '\t\t<address uid=\"' + str(uid[0]) + '\" alias=\"' + nick + '\" email=\"' + email + '\" remarks=\"\" />\n'
a += '\t</address-list>\n'
a += '\t<attribute-list>\n'
for key in keywds[5:] :
if vcard.get(key) :
for c in vcard.get(key) :
uid[0] = uid[0] + 1
a += '\t\t<attribute uid=\"' + str(uid[0]) + '\" name=\"' + key +'\">'+c+'</attribute>\n'
a += '\t</attribute-list>\n'
a += '</person>\n'
file.write(a)
file.flush()
###################################################################################################
def convert (in_f, o_f, name='INBOX') :
d = {'d':1}
uid = [int(time.time())]
try :
print 'proccessing...\n'
o_f.write('<?xml version="1.0" encoding="ISO-8859-1" ?>\n<address-book name="'+name+'" >\n');
buf = normalizeLongLines(in_f)
buffer = StringIO.StringIO(buf)
while len(d.keys()) > 0 :
d = readVCARD(buffer)
writeXMLREPR (d, o_f, uid)
uid[0] = uid [0]+1
o_f.write('\n</address-book>')
print 'finished processing...\n'
except IOError, err :
print 'Caught an IOError : ',err,'\t ABORTING!!!'
raise err
#################################################################################################
def execute () :
if len(sys.argv) <> 3 and len(sys.argv) <> 2 :
print str("\nUsage: vcard2xml.py source_file [destination_file]\n\n" +
'\tWhen only <source_file> is specified will overwrite the existing addressbook.\n'+
'\tWhen both arguments are suplied will create a new additional addressbook named \n\tas the destination file.'+'\n\tNOTE: in both cases the Claws Mail must be closed and ran at least once.\n\n')
sys.exit(1)
in_file = None
out_file = None
path_to_out = os.environ['HOME']+'/.claws-mail/'
adr_idx = 'addrbook--index.xml'
adr_idx_file = None
tmp_adr_idx_file= None
got_ex = 0
try :
in_file = open(sys.argv[1])
except IOError, e:
print 'Could not open input file <',sys.argv[1],'> ABORTING'
sys.exit(1)
if len(sys.argv) == 2 :
try :
dlist = os.listdir(path_to_out);
flist=[]
for l in dlist :
if l.find('addrbook') == 0 and l.find("addrbook--index.xml") < 0 and l.find('bak') < 0 :
flist.append(l)
flist.sort()
out_file = flist.pop()
os.rename(path_to_out+out_file, path_to_out+out_file+'.tmp')
out_file = open(path_to_out+out_file,'w')
convert(in_file, out_file)
except Exception, e:
got_ex = 1
print 'got exception: ', e
else :
try :
os.rename(path_to_out+adr_idx, path_to_out+adr_idx+'.tmp')
tmp_adr_idx_file = open(path_to_out+adr_idx+'.tmp')
adr_idx_file = open(path_to_out+adr_idx,'w')
except Exception, e :
print 'Could not open <', path_to_out+adr_idx,'> file. Make sure you started Claws Mail at least once.'
sys.exit(1)
try :
out_file = open(path_to_out+sys.argv[2],'w')
convert(in_file, out_file, sys.argv[2].split('.xml')[0])
l = tmp_adr_idx_file.readline()
while l :
if l.strip() == '</book_list>' :
adr_idx_file.write('\t<book name="'+sys.argv[2].split('.xml')[0] +'" file="'+sys.argv[2]+'" />\n')
adr_idx_file.write(l)
else :
adr_idx_file.write(l)
l = tmp_adr_idx_file.readline()
except Exception, e:
got_ex = 1
print 'got exception: ', e
if got_ex :
#clean up the mess
print 'got exception, cleaning up the mess... changed files will be restored...\n'
if adr_idx_file :
adr_idx_file.close()
if out_file :
out_file.close()
if len(sys.argv) == 2 :
os.rename(out_file.name+'.tmp', out_file.name)
else :
os.remove(out_file.name)
os.rename(path_to_out+adr_idx+'.tmp', path_to_out+adr_idx)
if tmp_adr_idx_file :
tmp_adr_idx_file.close()
else :
#closing all and moving temporary data into place
print 'closing open files...\n'
in_file.close()
out_file.close()
if len(sys.argv) == 3 :
os.rename(path_to_out+adr_idx+'.tmp',path_to_out+adr_idx+'.bak' )
if len(sys.argv) == 2 :
os.rename(out_file.name+'.tmp', out_file.name+'.bak')
if adr_idx_file :
adr_idx_file.close()
if tmp_adr_idx_file :
tmp_adr_idx_file.close()
print 'done!'
if __name__ == '__main__':
execute ()
| gpl-3.0 |
overtherain/scriptfile | software/googleAppEngine/lib/django_1_4/django/contrib/localflavor/za/forms.py | 89 | 1940 | """
South Africa-specific Form helpers
"""
from django.core.validators import EMPTY_VALUES
from django.forms import ValidationError
from django.forms.fields import CharField, RegexField
from django.utils.checksums import luhn
from django.utils.translation import gettext as _
import re
from datetime import date
id_re = re.compile(r'^(?P<yy>\d\d)(?P<mm>\d\d)(?P<dd>\d\d)(?P<mid>\d{4})(?P<end>\d{3})')
class ZAIDField(CharField):
"""A form field for South African ID numbers -- the checksum is validated
using the Luhn checksum, and uses a simlistic (read: not entirely accurate)
check for the birthdate
"""
default_error_messages = {
'invalid': _(u'Enter a valid South African ID number'),
}
def clean(self, value):
super(ZAIDField, self).clean(value)
if value in EMPTY_VALUES:
return u''
# strip spaces and dashes
value = value.strip().replace(' ', '').replace('-', '')
match = re.match(id_re, value)
if not match:
raise ValidationError(self.error_messages['invalid'])
g = match.groupdict()
try:
# The year 2000 is conveniently a leapyear.
# This algorithm will break in xx00 years which aren't leap years
# There is no way to guess the century of a ZA ID number
d = date(int(g['yy']) + 2000, int(g['mm']), int(g['dd']))
except ValueError:
raise ValidationError(self.error_messages['invalid'])
if not luhn(value):
raise ValidationError(self.error_messages['invalid'])
return value
class ZAPostCodeField(RegexField):
default_error_messages = {
'invalid': _(u'Enter a valid South African postal code'),
}
def __init__(self, max_length=None, min_length=None, *args, **kwargs):
super(ZAPostCodeField, self).__init__(r'^\d{4}$',
max_length, min_length, *args, **kwargs)
| mit |
charukiewicz/beer-manager | venv/lib/python3.4/site-packages/pip/_vendor/requests/packages/chardet/big5prober.py | 2931 | 1684 | ######################## BEGIN LICENSE BLOCK ########################
# The Original Code is Mozilla Communicator client code.
#
# The Initial Developer of the Original Code is
# Netscape Communications Corporation.
# Portions created by the Initial Developer are Copyright (C) 1998
# the Initial Developer. All Rights Reserved.
#
# Contributor(s):
# Mark Pilgrim - port to Python
#
# 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 St, Fifth Floor, Boston, MA
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine
from .chardistribution import Big5DistributionAnalysis
from .mbcssm import Big5SMModel
class Big5Prober(MultiByteCharSetProber):
def __init__(self):
MultiByteCharSetProber.__init__(self)
self._mCodingSM = CodingStateMachine(Big5SMModel)
self._mDistributionAnalyzer = Big5DistributionAnalysis()
self.reset()
def get_charset_name(self):
return "Big5"
| mit |
linearregression/socorro | socorro/app/fetch_transform_save_app.py | 7 | 11493 | # This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
"""this is the basis for any app that follows the fetch/transform/save model
* the configman versions of the crash mover and the processor apps will
derive from this class
The form of fetch/transform/save, of course, in three parts
1) fetch - some iterating or streaming function or object fetches packets of
from data a source
2) transform - some function transforms each packet of data into a new form
3) save - some function or class saves or streams the packet to some data
sink.
For the crash mover, the fetch phase is reading new crashes from the
collector's file system datastore. The transform phase is the degenerate
case of identity: no transformation. The save phase is just sending the
crashes to HBase.
For the processor, the fetch phase is reading from the new crash queue. In,
2012, that's the union of reading a postgres jobs/crash_id table and fetching
the crash from HBase. The transform phase is the running of minidump stackwalk
and production of the processed crash data. The save phase is the union of
sending new crash records to Postgres; sending the processed crash to HBase;
the the submission of the crash_id to Elastic Search."""
import signal
from functools import partial
from configman import Namespace
from configman.converters import class_converter
from socorro.lib.task_manager import respond_to_SIGTERM
from socorro.app.generic_app import App, main # main not used here, but
# is imported from generic_app
# into this scope to offer to
# apps that derive from the
# class defined here.
#==============================================================================
class FetchTransformSaveApp(App):
"""base class for apps that follow the fetch/transform/save model"""
app_name = 'generic_fetch_transform_save_app'
app_version = '0.1'
app_description = __doc__
required_config = Namespace()
# the required config is broken into two parts: the source and the
# destination. Each of those gets assigned a crasnstorage class.
required_config.source = Namespace()
# For source, the storage class should be one that defines a method
# of fetching new crashes through the three storage api methods: the
# iterator 'new_crashes' and the accessors 'get_raw_crash' and
# 'get_raw_dumps'
required_config.source.add_option(
'crashstorage_class',
doc='the source storage class',
default=None,
from_string_converter=class_converter
)
required_config.destination = Namespace()
# For destination, the storage class should implement the 'save_raw_crash'
# method. Of course, a subclass may redefine either the source_iterator
# or transform methods and therefore completely redefine what api calls
# are relevant.
required_config.destination.add_option(
'crashstorage_class',
doc='the destination storage class',
default=None,
from_string_converter=class_converter
)
required_config.producer_consumer = Namespace()
required_config.producer_consumer.add_option(
'producer_consumer_class',
doc='the class implements a threaded producer consumer queue',
default='socorro.lib.threaded_task_manager.ThreadedTaskManager',
from_string_converter=class_converter
)
###########################################################################
### TODO: add a feature where clients of this class may register a waiting
### function. The MainThread will run all the registered waiting
### functions at their configured interval. A first application of this
### feature will be to allow periodic reloading of config data from a
### database. Specifically, the skip list rules could be reloaded without
### having to restart the processor.
###########################################################################
#--------------------------------------------------------------------------
@staticmethod
def get_application_defaults():
"""this method allows an app to inject defaults into the configuration
that can override defaults not under the direct control of the app.
For example, if an app were to use a class that had a config default
of X and that was not appropriate as a default for this app, then
this method could be used to override that default.
This is a technique of getting defaults into an app that replaces
an older method of going to the configman option and using the
'set_default' method with 'force=True'"""
return {
'source.crashstorage_class':
'socorro.external.fs.crashstorage.FSPermanentStorage',
'destination.crashstorage_class':
'socorro.external.fs.crashstorage.FSPermanentStorage',
}
#--------------------------------------------------------------------------
def __init__(self, config):
super(FetchTransformSaveApp, self).__init__(config)
self.waiting_func = None
#--------------------------------------------------------------------------
def source_iterator(self):
"""this iterator yields individual crash_ids from the source
crashstorage class's 'new_crashes' method."""
while(True): # loop forever and never raise StopIteration
for x in self.source.new_crashes():
if x is None:
yield None
elif isinstance(x, tuple):
yield x # already in (args, kwargs) form
else:
yield ((x,), {}) # (args, kwargs)
else:
yield None # if the inner iterator yielded nothing at all,
# yield None to give the caller the chance to sleep
#--------------------------------------------------------------------------
def transform(
self,
crash_id,
finished_func=(lambda: None),
):
try:
self._transform(crash_id)
finally:
# no matter what causes this method to end, we need to make sure
# that the finished_func gets called. If the new crash source is
# RabbitMQ, this is what removes the job from the queue.
try:
finished_func()
except Exception, x:
# when run in a thread, a failure here is not a problem, but if
# we're running all in the same thread, a failure here could
# derail the the whole processor. Best just log the problem
# so that we can continue.
self.config.logger.error(
'Error completing job %s: %s',
crash_id,
x,
exc_info=True
)
#--------------------------------------------------------------------------
def _transform(self, crash_id):
"""this default transform function only transfers raw data from the
source to the destination without changing the data. While this may
be good enough for the raw crashmover, the processor would override
this method to create and save processed crashes"""
try:
raw_crash = self.source.get_raw_crash(crash_id)
except Exception as x:
self.config.logger.error(
"reading raw_crash: %s",
str(x),
exc_info=True
)
raw_crash = {}
try:
dumps = self.source.get_raw_dumps(crash_id)
except Exception as x:
self.config.logger.error(
"reading dump: %s",
str(x),
exc_info=True
)
dumps = {}
try:
self.destination.save_raw_crash(raw_crash, dumps, crash_id)
self.config.logger.info('saved - %s', crash_id)
except Exception as x:
self.config.logger.error(
"writing raw: %s",
str(x),
exc_info=True
)
else:
try:
self.source.remove(crash_id)
except Exception as x:
self.config.logger.error(
"removing raw: %s",
str(x),
exc_info=True
)
#--------------------------------------------------------------------------
def quit_check(self):
self.task_manager.quit_check()
#--------------------------------------------------------------------------
def signal_quit(self):
self.task_manager.stop()
#--------------------------------------------------------------------------
def _setup_source_and_destination(self):
"""instantiate the classes that implement the source and destination
crash storage systems."""
try:
self.source = self.config.source.crashstorage_class(
self.config.source,
quit_check_callback=self.quit_check
)
except Exception:
self.config.logger.critical(
'Error in creating crash source',
exc_info=True
)
raise
try:
self.destination = self.config.destination.crashstorage_class(
self.config.destination,
quit_check_callback=self.quit_check
)
except Exception:
self.config.logger.critical(
'Error in creating crash destination',
exc_info=True
)
raise
#--------------------------------------------------------------------------
def _setup_task_manager(self):
"""instantiate the threaded task manager to run the producer/consumer
queue that is the heart of the processor."""
self.config.logger.info('installing signal handers')
respond_to_SIGTERM_with_logging = partial(
respond_to_SIGTERM,
logger=self.config.logger
)
signal.signal(signal.SIGTERM, respond_to_SIGTERM_with_logging)
self.task_manager = \
self.config.producer_consumer.producer_consumer_class(
self.config.producer_consumer,
job_source_iterator=self.source_iterator,
task_func=self.transform
)
self.config.executor_identity = self.task_manager.executor_identity
#--------------------------------------------------------------------------
def _cleanup(self):
pass
#--------------------------------------------------------------------------
def main(self):
"""this main routine sets up the signal handlers, the source and
destination crashstorage systems at the theaded task manager. That
starts a flock of threads that are ready to shepherd crashes from
the source to the destination."""
self._setup_task_manager()
self._setup_source_and_destination()
self.task_manager.blocking_start(waiting_func=self.waiting_func)
self._cleanup()
| mpl-2.0 |
tzanussi/linux-yocto-micro-3.17 | Documentation/networking/cxacru-cf.py | 14668 | 1626 | #!/usr/bin/env python
# Copyright 2009 Simon Arlott
#
# 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.
#
# Usage: cxacru-cf.py < cxacru-cf.bin
# Output: values string suitable for the sysfs adsl_config attribute
#
# Warning: cxacru-cf.bin with MD5 hash cdbac2689969d5ed5d4850f117702110
# contains mis-aligned values which will stop the modem from being able
# to make a connection. If the first and last two bytes are removed then
# the values become valid, but the modulation will be forced to ANSI
# T1.413 only which may not be appropriate.
#
# The original binary format is a packed list of le32 values.
import sys
import struct
i = 0
while True:
buf = sys.stdin.read(4)
if len(buf) == 0:
break
elif len(buf) != 4:
sys.stdout.write("\n")
sys.stderr.write("Error: read {0} not 4 bytes\n".format(len(buf)))
sys.exit(1)
if i > 0:
sys.stdout.write(" ")
sys.stdout.write("{0:x}={1}".format(i, struct.unpack("<I", buf)[0]))
i += 1
sys.stdout.write("\n")
| gpl-2.0 |
Weihonghao/ECM | Vpy34/lib/python3.5/site-packages/numpy/f2py/__init__.py | 63 | 2038 | #!/usr/bin/env python
"""Fortran to Python Interface Generator.
"""
from __future__ import division, absolute_import, print_function
__all__ = ['run_main', 'compile', 'f2py_testing']
import sys
from . import f2py2e
from . import f2py_testing
from . import diagnose
run_main = f2py2e.run_main
main = f2py2e.main
def compile(source,
modulename='untitled',
extra_args='',
verbose=True,
source_fn=None,
extension='.f'
):
"""
Build extension module from processing source with f2py.
Parameters
----------
source : str
Fortran source of module / subroutine to compile
modulename : str, optional
The name of the compiled python module
extra_args : str, optional
Additional parameters passed to f2py
verbose : bool, optional
Print f2py output to screen
source_fn : str, optional
Name of the file where the fortran source is written.
The default is to use a temporary file with the extension
provided by the `extension` parameter
extension : {'.f', '.f90'}, optional
Filename extension if `source_fn` is not provided.
The extension tells which fortran standard is used.
The default is `.f`, which implies F77 standard.
.. versionadded:: 1.11.0
"""
from numpy.distutils.exec_command import exec_command
import tempfile
if source_fn is None:
f = tempfile.NamedTemporaryFile(suffix=extension)
else:
f = open(source_fn, 'w')
try:
f.write(source)
f.flush()
args = ' -c -m {} {} {}'.format(modulename, f.name, extra_args)
c = '{} -c "import numpy.f2py as f2py2e;f2py2e.main()" {}'
c = c.format(sys.executable, args)
status, output = exec_command(c)
if verbose:
print(output)
finally:
f.close()
return status
from numpy.testing.nosetester import _numpy_tester
test = _numpy_tester().test
bench = _numpy_tester().bench
| agpl-3.0 |
gomiero/PTVS | Python/Product/Pyvot/Pyvot/xl/__init__.py | 18 | 4494 | # Copyright (c) Microsoft Corporation.
#
# This source code is subject to terms and conditions of the Apache License, Version 2.0. A
# copy of the license can be found in the LICENSE.txt file at the root of this distribution. If
# you cannot locate the Apache License, Version 2.0, please send an email to
# [email protected]. By using this source code in any fashion, you are agreeing to be bound
# by the terms of the Apache License, Version 2.0.
#
# You must not remove this notice, or any other, from this software.
"""Pyvot - Pythonic interface for data exploration in Excel
The user-level API for the `xl` package follows. For interactive use, consider running the :ref:`interactive shell <interactive>`::
python -m xl.shell
**Managing Excel workbooks**:
- :class:`xl.Workbook() <xl.sheet.Workbook>` opens a new workbook
- xl.Workbook("filename") attaches to an existing workbook, or opens it
- :func:`xl.workbooks() <xl.tools.workbooks>` returns a Workbook for each that is currently open
**Excel Ranges**:
- :class:`xl.Range <xl.range.Range>` is the base type for a contiguous range of Excel cells.
- :func:`xl.get() <xl.tools.get>` / :meth:`Workbook.get <xl.sheet.Workbook.get>` / etc. return Ranges; namely, subclasses such as
:class:`xl.RowVector <xl.range.RowVector>`, :class:`xl.ColumnVector <xl.range.ColumnVector>`,
:class:`xl.Matrix <xl.range.Matrix>`, or :class:`xl.Scalar <xl.range.Scalar>`
- :meth:`xl.Range.get` / :meth:`xl.Range.set` allow reading from / writing to Excel
**Tools**:
- :func:`xl.map <xl.tools.map>` / :func:`xl.apply <xl.tools.apply>` / :func:`xl.filter <xl.tools.filter>` operate
like their Python counterparts, but read and write from an Excel workbook
``from xl import *`` imports :func:`xlmap`, etc. instead, to avoid overriding builtins.
- :func:`xl.join() <xl.tools.join>` allows joining two Excel tables by a pair of key columns
- :func:`xl.get() <xl.tools.get>` fetches a Range for a table column (by column name), named Excel range, or for an
Excel address (ex. A1:B1). It attempts to guess the active Workbook, and begins looking in the active sheet.
See also :meth:`Workbook.get <xl.sheet.Workbook.get>`
- :func:`xl.view() <xl.tools.view>` splats a list of Python values to an empty column in Excel
- :func:`xl.selected_range() <xl.tools.selected_range>` / :func:`xl.selected_value() <xl.tools.selected_value>`
provide the active sheet's selection"""
try:
__import__('win32com')
except ImportError as e:
import ctypes
import sys
is_64bit = ctypes.sizeof(ctypes.c_voidp) > 4
arch_str = "64-bit" if is_64bit else "32-bit"
ver = "%d.%d" % (sys.version_info.major, sys.version_info.minor)
raise Exception("pywin32 does not appear to be installed. Visit http://sourceforge.net/projects/pywin32/ and download "
"build 216 or above for Python %s (%s)" % (ver, arch_str), e)
from .version import __version__
# Conventions:
# - prefix excel COM objectss with "xl". Apply to field and method names.
# Design conventions:
# - Very low activation energy for users.
# Layer between "precise (dumb)" operations (which are often not useful) and "guess user intent (smart)" operations
# (which can be much more useful).
# Users start with "smart" general operations and work towards the precise ones.
# - Global functions user "current" workbook, which iterates all sheets.
from .range import Range, Vector, Scalar, RowVector, ColumnVector, Matrix, ExcelRangeError
from .cache import CacheManager, enable_caching, cache_result
from .tools import get, view, join, map, apply, filter, selected_range, selected_value, workbooks
from .sheet import Workbook
# We want to allow 'from xl import *' without clobbering builtin map / apply / filter.
# We define these aliases, and exclude map / apply / filter from __all__.
# This way xl.map works, but 'from xl import *' imports xlmap instead
xlmap, xlapply, xlfilter = map, apply, filter
__all__ = ['Range', 'Vector', 'Scalar', 'RowVector', 'ColumnVector', 'Matrix', 'ExcelRangeError',
'CacheManager', 'enable_caching', 'cache_result',
'get', 'view', 'join', 'selected_range', 'selected_value', 'workbooks',
'xlmap', 'xlapply', 'xlfilter', # We omit map / apply / filter from __all__ but include these. See above
'Workbook'] | apache-2.0 |
odootr/odoo | addons/account/wizard/account_tax_chart.py | 385 | 3247 | # -*- 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 fields, osv
class account_tax_chart(osv.osv_memory):
"""
For Chart of taxes
"""
_name = "account.tax.chart"
_description = "Account tax chart"
_columns = {
'period_id': fields.many2one('account.period', \
'Period', \
),
'target_move': fields.selection([('posted', 'All Posted Entries'),
('all', 'All Entries'),
], 'Target Moves', required=True),
}
def _get_period(self, cr, uid, context=None):
"""Return default period value"""
period_ids = self.pool.get('account.period').find(cr, uid, context=context)
return period_ids and period_ids[0] or False
def account_tax_chart_open_window(self, cr, uid, ids, context=None):
"""
Opens chart of Accounts
@param cr: the current row, from the database cursor,
@param uid: the current user’s ID for security checks,
@param ids: List of account chart’s IDs
@return: dictionary of Open account chart window on given fiscalyear and all Entries or posted entries
"""
mod_obj = self.pool.get('ir.model.data')
act_obj = self.pool.get('ir.actions.act_window')
if context is None:
context = {}
data = self.browse(cr, uid, ids, context=context)[0]
result = mod_obj.get_object_reference(cr, uid, 'account', 'action_tax_code_tree')
id = result and result[1] or False
result = act_obj.read(cr, uid, [id], context=context)[0]
if data.period_id:
result['context'] = str({'period_id': data.period_id.id, \
'fiscalyear_id': data.period_id.fiscalyear_id.id, \
'state': data.target_move})
period_code = data.period_id.code
result['name'] += period_code and (':' + period_code) or ''
else:
result['context'] = str({'state': data.target_move})
return result
_defaults = {
'period_id': _get_period,
'target_move': 'posted'
}
# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
| agpl-3.0 |