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liangwang/m5
|
configs/example/fs.py
|
1
|
5997
|
# Copyright (c) 2006-2007 The Regents of The University of Michigan
# 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 the copyright holders 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.
#
# Authors: Ali Saidi
import optparse
import os
import sys
import m5
from m5.defines import buildEnv
from m5.objects import *
from m5.util import addToPath, fatal
if not buildEnv['FULL_SYSTEM']:
fatal("This script requires full-system mode (*_FS).")
addToPath('../common')
from FSConfig import *
from SysPaths import *
from Benchmarks import *
import Simulation
import CacheConfig
from Caches import *
# Get paths we might need. It's expected this file is in m5/configs/example.
config_path = os.path.dirname(os.path.abspath(__file__))
config_root = os.path.dirname(config_path)
parser = optparse.OptionParser()
# System options
parser.add_option("--kernel", action="store", type="string")
parser.add_option("--script", action="store", type="string")
# Benchmark options
parser.add_option("--dual", action="store_true",
help="Simulate two systems attached with an ethernet link")
parser.add_option("-b", "--benchmark", action="store", type="string",
dest="benchmark",
help="Specify the benchmark to run. Available benchmarks: %s"\
% DefinedBenchmarks)
# Metafile options
parser.add_option("--etherdump", action="store", type="string", dest="etherdump",
help="Specify the filename to dump a pcap capture of the" \
"ethernet traffic")
execfile(os.path.join(config_root, "common", "Options.py"))
(options, args) = parser.parse_args()
if args:
print "Error: script doesn't take any positional arguments"
sys.exit(1)
# driver system CPU is always simple... note this is an assignment of
# a class, not an instance.
DriveCPUClass = AtomicSimpleCPU
drive_mem_mode = 'atomic'
# system under test can be any CPU
(TestCPUClass, test_mem_mode, FutureClass) = Simulation.setCPUClass(options)
TestCPUClass.clock = '2GHz'
DriveCPUClass.clock = '2GHz'
if options.benchmark:
try:
bm = Benchmarks[options.benchmark]
except KeyError:
print "Error benchmark %s has not been defined." % options.benchmark
print "Valid benchmarks are: %s" % DefinedBenchmarks
sys.exit(1)
else:
if options.dual:
bm = [SysConfig(), SysConfig()]
else:
bm = [SysConfig()]
np = options.num_cpus
if buildEnv['TARGET_ISA'] == "alpha":
test_sys = makeLinuxAlphaSystem(test_mem_mode, bm[0])
elif buildEnv['TARGET_ISA'] == "mips":
test_sys = makeLinuxMipsSystem(test_mem_mode, bm[0])
elif buildEnv['TARGET_ISA'] == "sparc":
test_sys = makeSparcSystem(test_mem_mode, bm[0])
elif buildEnv['TARGET_ISA'] == "x86":
test_sys = makeLinuxX86System(test_mem_mode, np, bm[0])
else:
fatal("incapable of building non-alpha or non-sparc full system!")
if options.kernel is not None:
test_sys.kernel = binary(options.kernel)
if options.script is not None:
test_sys.readfile = options.script
test_sys.cpu = [TestCPUClass(cpu_id=i) for i in xrange(np)]
CacheConfig.config_cache(options, test_sys)
if options.caches or options.l2cache:
test_sys.bridge.filter_ranges_a=[AddrRange(0, Addr.max)]
test_sys.bridge.filter_ranges_b=[AddrRange(0, size='8GB')]
test_sys.iocache = IOCache(addr_range=AddrRange(0, size='8GB'))
test_sys.iocache.cpu_side = test_sys.iobus.port
test_sys.iocache.mem_side = test_sys.membus.port
for i in xrange(np):
if options.fastmem:
test_sys.cpu[i].physmem_port = test_sys.physmem.port
if buildEnv['TARGET_ISA'] == 'mips':
setMipsOptions(TestCPUClass)
if len(bm) == 2:
if buildEnv['TARGET_ISA'] == 'alpha':
drive_sys = makeLinuxAlphaSystem(drive_mem_mode, bm[1])
elif buildEnv['TARGET_ISA'] == 'mips':
drive_sys = makeLinuxMipsSystem(drive_mem_mode, bm[1])
elif buildEnv['TARGET_ISA'] == 'sparc':
drive_sys = makeSparcSystem(drive_mem_mode, bm[1])
elif buildEnv['TARGET_ISA'] == 'x86':
drive_sys = makeX86System(drive_mem_mode, np, bm[1])
drive_sys.cpu = DriveCPUClass(cpu_id=0)
drive_sys.cpu.connectMemPorts(drive_sys.membus)
if options.fastmem:
drive_sys.cpu.physmem_port = drive_sys.physmem.port
if options.kernel is not None:
drive_sys.kernel = binary(options.kernel)
root = makeDualRoot(test_sys, drive_sys, options.etherdump)
elif len(bm) == 1:
root = Root(system=test_sys)
else:
print "Error I don't know how to create more than 2 systems."
sys.exit(1)
Simulation.run(options, root, test_sys, FutureClass)
|
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ghickman/django
|
django/template/defaultfilters.py
|
13
|
27084
|
"""Default variable filters."""
from __future__ import unicode_literals
import random as random_module
import re
from decimal import ROUND_HALF_UP, Context, Decimal, InvalidOperation
from functools import wraps
from pprint import pformat
from django.conf import settings
from django.utils import formats, six
from django.utils.dateformat import format, time_format
from django.utils.encoding import force_text, iri_to_uri
from django.utils.html import (
avoid_wrapping, conditional_escape, escape, escapejs, linebreaks,
strip_tags, urlize as _urlize,
)
from django.utils.http import urlquote
from django.utils.safestring import SafeData, mark_for_escaping, mark_safe
from django.utils.text import (
Truncator, normalize_newlines, phone2numeric, slugify as _slugify, wrap,
)
from django.utils.timesince import timesince, timeuntil
from django.utils.translation import ugettext, ungettext
from .base import Variable, VariableDoesNotExist
from .library import Library
register = Library()
#######################
# STRING DECORATOR #
#######################
def stringfilter(func):
"""
Decorator for filters which should only receive unicode objects. The object
passed as the first positional argument will be converted to a unicode
object.
"""
def _dec(*args, **kwargs):
if args:
args = list(args)
args[0] = force_text(args[0])
if (isinstance(args[0], SafeData) and
getattr(_dec._decorated_function, 'is_safe', False)):
return mark_safe(func(*args, **kwargs))
return func(*args, **kwargs)
# Include a reference to the real function (used to check original
# arguments by the template parser, and to bear the 'is_safe' attribute
# when multiple decorators are applied).
_dec._decorated_function = getattr(func, '_decorated_function', func)
return wraps(func)(_dec)
###################
# STRINGS #
###################
@register.filter(is_safe=True)
@stringfilter
def addslashes(value):
"""
Adds slashes before quotes. Useful for escaping strings in CSV, for
example. Less useful for escaping JavaScript; use the ``escapejs``
filter instead.
"""
return value.replace('\\', '\\\\').replace('"', '\\"').replace("'", "\\'")
@register.filter(is_safe=True)
@stringfilter
def capfirst(value):
"""Capitalizes the first character of the value."""
return value and value[0].upper() + value[1:]
@register.filter("escapejs")
@stringfilter
def escapejs_filter(value):
"""Hex encodes characters for use in JavaScript strings."""
return escapejs(value)
# Values for testing floatformat input against infinity and NaN representations,
# which differ across platforms and Python versions. Some (i.e. old Windows
# ones) are not recognized by Decimal but we want to return them unchanged vs.
# returning an empty string as we do for completely invalid input. Note these
# need to be built up from values that are not inf/nan, since inf/nan values do
# not reload properly from .pyc files on Windows prior to some level of Python 2.5
# (see Python Issue757815 and Issue1080440).
pos_inf = 1e200 * 1e200
neg_inf = -1e200 * 1e200
nan = (1e200 * 1e200) // (1e200 * 1e200)
special_floats = [str(pos_inf), str(neg_inf), str(nan)]
@register.filter(is_safe=True)
def floatformat(text, arg=-1):
"""
Displays a float to a specified number of decimal places.
If called without an argument, it displays the floating point number with
one decimal place -- but only if there's a decimal place to be displayed:
* num1 = 34.23234
* num2 = 34.00000
* num3 = 34.26000
* {{ num1|floatformat }} displays "34.2"
* {{ num2|floatformat }} displays "34"
* {{ num3|floatformat }} displays "34.3"
If arg is positive, it will always display exactly arg number of decimal
places:
* {{ num1|floatformat:3 }} displays "34.232"
* {{ num2|floatformat:3 }} displays "34.000"
* {{ num3|floatformat:3 }} displays "34.260"
If arg is negative, it will display arg number of decimal places -- but
only if there are places to be displayed:
* {{ num1|floatformat:"-3" }} displays "34.232"
* {{ num2|floatformat:"-3" }} displays "34"
* {{ num3|floatformat:"-3" }} displays "34.260"
If the input float is infinity or NaN, the (platform-dependent) string
representation of that value will be displayed.
"""
try:
input_val = force_text(text)
d = Decimal(input_val)
except UnicodeEncodeError:
return ''
except InvalidOperation:
if input_val in special_floats:
return input_val
try:
d = Decimal(force_text(float(text)))
except (ValueError, InvalidOperation, TypeError, UnicodeEncodeError):
return ''
try:
p = int(arg)
except ValueError:
return input_val
try:
m = int(d) - d
except (ValueError, OverflowError, InvalidOperation):
return input_val
if not m and p < 0:
return mark_safe(formats.number_format('%d' % (int(d)), 0))
if p == 0:
exp = Decimal(1)
else:
exp = Decimal('1.0') / (Decimal(10) ** abs(p))
try:
# Set the precision high enough to avoid an exception, see #15789.
tupl = d.as_tuple()
units = len(tupl[1]) - tupl[2]
prec = abs(p) + units + 1
# Avoid conversion to scientific notation by accessing `sign`, `digits`
# and `exponent` from `Decimal.as_tuple()` directly.
sign, digits, exponent = d.quantize(exp, ROUND_HALF_UP,
Context(prec=prec)).as_tuple()
digits = [six.text_type(digit) for digit in reversed(digits)]
while len(digits) <= abs(exponent):
digits.append('0')
digits.insert(-exponent, '.')
if sign:
digits.append('-')
number = ''.join(reversed(digits))
return mark_safe(formats.number_format(number, abs(p)))
except InvalidOperation:
return input_val
@register.filter(is_safe=True)
@stringfilter
def iriencode(value):
"""Escapes an IRI value for use in a URL."""
return force_text(iri_to_uri(value))
@register.filter(is_safe=True, needs_autoescape=True)
@stringfilter
def linenumbers(value, autoescape=True):
"""Displays text with line numbers."""
lines = value.split('\n')
# Find the maximum width of the line count, for use with zero padding
# string format command
width = six.text_type(len(six.text_type(len(lines))))
if not autoescape or isinstance(value, SafeData):
for i, line in enumerate(lines):
lines[i] = ("%0" + width + "d. %s") % (i + 1, line)
else:
for i, line in enumerate(lines):
lines[i] = ("%0" + width + "d. %s") % (i + 1, escape(line))
return mark_safe('\n'.join(lines))
@register.filter(is_safe=True)
@stringfilter
def lower(value):
"""Converts a string into all lowercase."""
return value.lower()
@register.filter(is_safe=False)
@stringfilter
def make_list(value):
"""
Returns the value turned into a list.
For an integer, it's a list of digits.
For a string, it's a list of characters.
"""
return list(value)
@register.filter(is_safe=True)
@stringfilter
def slugify(value):
"""
Converts to ASCII. Converts spaces to hyphens. Removes characters that
aren't alphanumerics, underscores, or hyphens. Converts to lowercase.
Also strips leading and trailing whitespace.
"""
return _slugify(value)
@register.filter(is_safe=True)
def stringformat(value, arg):
"""
Formats the variable according to the arg, a string formatting specifier.
This specifier uses Python string formating syntax, with the exception that
the leading "%" is dropped.
See http://docs.python.org/lib/typesseq-strings.html for documentation
of Python string formatting
"""
try:
return ("%" + six.text_type(arg)) % value
except (ValueError, TypeError):
return ""
@register.filter(is_safe=True)
@stringfilter
def title(value):
"""Converts a string into titlecase."""
t = re.sub("([a-z])'([A-Z])", lambda m: m.group(0).lower(), value.title())
return re.sub("\d([A-Z])", lambda m: m.group(0).lower(), t)
@register.filter(is_safe=True)
@stringfilter
def truncatechars(value, arg):
"""
Truncates a string after a certain number of characters.
Argument: Number of characters to truncate after.
"""
try:
length = int(arg)
except ValueError: # Invalid literal for int().
return value # Fail silently.
return Truncator(value).chars(length)
@register.filter(is_safe=True)
@stringfilter
def truncatechars_html(value, arg):
"""
Truncates HTML after a certain number of chars.
Argument: Number of chars to truncate after.
Newlines in the HTML are preserved.
"""
try:
length = int(arg)
except ValueError: # invalid literal for int()
return value # Fail silently.
return Truncator(value).chars(length, html=True)
@register.filter(is_safe=True)
@stringfilter
def truncatewords(value, arg):
"""
Truncates a string after a certain number of words.
Argument: Number of words to truncate after.
Newlines within the string are removed.
"""
try:
length = int(arg)
except ValueError: # Invalid literal for int().
return value # Fail silently.
return Truncator(value).words(length, truncate=' ...')
@register.filter(is_safe=True)
@stringfilter
def truncatewords_html(value, arg):
"""
Truncates HTML after a certain number of words.
Argument: Number of words to truncate after.
Newlines in the HTML are preserved.
"""
try:
length = int(arg)
except ValueError: # invalid literal for int()
return value # Fail silently.
return Truncator(value).words(length, html=True, truncate=' ...')
@register.filter(is_safe=False)
@stringfilter
def upper(value):
"""Converts a string into all uppercase."""
return value.upper()
@register.filter(is_safe=False)
@stringfilter
def urlencode(value, safe=None):
"""
Escapes a value for use in a URL.
Takes an optional ``safe`` parameter used to determine the characters which
should not be escaped by Django's ``urlquote`` method. If not provided, the
default safe characters will be used (but an empty string can be provided
when *all* characters should be escaped).
"""
kwargs = {}
if safe is not None:
kwargs['safe'] = safe
return urlquote(value, **kwargs)
@register.filter(is_safe=True, needs_autoescape=True)
@stringfilter
def urlize(value, autoescape=True):
"""Converts URLs in plain text into clickable links."""
return mark_safe(_urlize(value, nofollow=True, autoescape=autoescape))
@register.filter(is_safe=True, needs_autoescape=True)
@stringfilter
def urlizetrunc(value, limit, autoescape=True):
"""
Converts URLs into clickable links, truncating URLs to the given character
limit, and adding 'rel=nofollow' attribute to discourage spamming.
Argument: Length to truncate URLs to.
"""
return mark_safe(_urlize(value, trim_url_limit=int(limit), nofollow=True,
autoescape=autoescape))
@register.filter(is_safe=False)
@stringfilter
def wordcount(value):
"""Returns the number of words."""
return len(value.split())
@register.filter(is_safe=True)
@stringfilter
def wordwrap(value, arg):
"""
Wraps words at specified line length.
Argument: number of characters to wrap the text at.
"""
return wrap(value, int(arg))
@register.filter(is_safe=True)
@stringfilter
def ljust(value, arg):
"""
Left-aligns the value in a field of a given width.
Argument: field size.
"""
return value.ljust(int(arg))
@register.filter(is_safe=True)
@stringfilter
def rjust(value, arg):
"""
Right-aligns the value in a field of a given width.
Argument: field size.
"""
return value.rjust(int(arg))
@register.filter(is_safe=True)
@stringfilter
def center(value, arg):
"""Centers the value in a field of a given width."""
return value.center(int(arg))
@register.filter
@stringfilter
def cut(value, arg):
"""
Removes all values of arg from the given string.
"""
safe = isinstance(value, SafeData)
value = value.replace(arg, '')
if safe and arg != ';':
return mark_safe(value)
return value
###################
# HTML STRINGS #
###################
@register.filter("escape", is_safe=True)
@stringfilter
def escape_filter(value):
"""
Marks the value as a string that should be auto-escaped.
"""
return mark_for_escaping(value)
@register.filter(is_safe=True)
@stringfilter
def force_escape(value):
"""
Escapes a string's HTML. This returns a new string containing the escaped
characters (as opposed to "escape", which marks the content for later
possible escaping).
"""
return escape(value)
@register.filter("linebreaks", is_safe=True, needs_autoescape=True)
@stringfilter
def linebreaks_filter(value, autoescape=True):
"""
Replaces line breaks in plain text with appropriate HTML; a single
newline becomes an HTML line break (``<br />``) and a new line
followed by a blank line becomes a paragraph break (``</p>``).
"""
autoescape = autoescape and not isinstance(value, SafeData)
return mark_safe(linebreaks(value, autoescape))
@register.filter(is_safe=True, needs_autoescape=True)
@stringfilter
def linebreaksbr(value, autoescape=True):
"""
Converts all newlines in a piece of plain text to HTML line breaks
(``<br />``).
"""
autoescape = autoescape and not isinstance(value, SafeData)
value = normalize_newlines(value)
if autoescape:
value = escape(value)
return mark_safe(value.replace('\n', '<br />'))
@register.filter(is_safe=True)
@stringfilter
def safe(value):
"""
Marks the value as a string that should not be auto-escaped.
"""
return mark_safe(value)
@register.filter(is_safe=True)
def safeseq(value):
"""
A "safe" filter for sequences. Marks each element in the sequence,
individually, as safe, after converting them to unicode. Returns a list
with the results.
"""
return [mark_safe(force_text(obj)) for obj in value]
@register.filter(is_safe=True)
@stringfilter
def striptags(value):
"""Strips all [X]HTML tags."""
return strip_tags(value)
###################
# LISTS #
###################
@register.filter(is_safe=False)
def dictsort(value, arg):
"""
Takes a list of dicts, returns that list sorted by the property given in
the argument.
"""
try:
return sorted(value, key=Variable(arg).resolve)
except (TypeError, VariableDoesNotExist):
return ''
@register.filter(is_safe=False)
def dictsortreversed(value, arg):
"""
Takes a list of dicts, returns that list sorted in reverse order by the
property given in the argument.
"""
try:
return sorted(value, key=Variable(arg).resolve, reverse=True)
except (TypeError, VariableDoesNotExist):
return ''
@register.filter(is_safe=False)
def first(value):
"""Returns the first item in a list."""
try:
return value[0]
except IndexError:
return ''
@register.filter(is_safe=True, needs_autoescape=True)
def join(value, arg, autoescape=True):
"""
Joins a list with a string, like Python's ``str.join(list)``.
"""
value = map(force_text, value)
if autoescape:
value = [conditional_escape(v) for v in value]
try:
data = conditional_escape(arg).join(value)
except AttributeError: # fail silently but nicely
return value
return mark_safe(data)
@register.filter(is_safe=True)
def last(value):
"Returns the last item in a list"
try:
return value[-1]
except IndexError:
return ''
@register.filter(is_safe=False)
def length(value):
"""Returns the length of the value - useful for lists."""
try:
return len(value)
except (ValueError, TypeError):
return 0
@register.filter(is_safe=False)
def length_is(value, arg):
"""Returns a boolean of whether the value's length is the argument."""
try:
return len(value) == int(arg)
except (ValueError, TypeError):
return ''
@register.filter(is_safe=True)
def random(value):
"""Returns a random item from the list."""
return random_module.choice(value)
@register.filter("slice", is_safe=True)
def slice_filter(value, arg):
"""
Returns a slice of the list.
Uses the same syntax as Python's list slicing; see
http://www.diveintopython3.net/native-datatypes.html#slicinglists
for an introduction.
"""
try:
bits = []
for x in arg.split(':'):
if len(x) == 0:
bits.append(None)
else:
bits.append(int(x))
return value[slice(*bits)]
except (ValueError, TypeError):
return value # Fail silently.
@register.filter(is_safe=True, needs_autoescape=True)
def unordered_list(value, autoescape=True):
"""
Recursively takes a self-nested list and returns an HTML unordered list --
WITHOUT opening and closing <ul> tags.
The list is assumed to be in the proper format. For example, if ``var``
contains: ``['States', ['Kansas', ['Lawrence', 'Topeka'], 'Illinois']]``,
then ``{{ var|unordered_list }}`` would return::
<li>States
<ul>
<li>Kansas
<ul>
<li>Lawrence</li>
<li>Topeka</li>
</ul>
</li>
<li>Illinois</li>
</ul>
</li>
"""
if autoescape:
escaper = conditional_escape
else:
escaper = lambda x: x
def walk_items(item_list):
item_iterator = iter(item_list)
try:
item = next(item_iterator)
while True:
try:
next_item = next(item_iterator)
except StopIteration:
yield item, None
break
if not isinstance(next_item, six.string_types):
try:
iter(next_item)
except TypeError:
pass
else:
yield item, next_item
item = next(item_iterator)
continue
yield item, None
item = next_item
except StopIteration:
pass
def list_formatter(item_list, tabs=1):
indent = '\t' * tabs
output = []
for item, children in walk_items(item_list):
sublist = ''
if children:
sublist = '\n%s<ul>\n%s\n%s</ul>\n%s' % (
indent, list_formatter(children, tabs + 1), indent, indent)
output.append('%s<li>%s%s</li>' % (
indent, escaper(force_text(item)), sublist))
return '\n'.join(output)
return mark_safe(list_formatter(value))
###################
# INTEGERS #
###################
@register.filter(is_safe=False)
def add(value, arg):
"""Adds the arg to the value."""
try:
return int(value) + int(arg)
except (ValueError, TypeError):
try:
return value + arg
except Exception:
return ''
@register.filter(is_safe=False)
def get_digit(value, arg):
"""
Given a whole number, returns the requested digit of it, where 1 is the
right-most digit, 2 is the second-right-most digit, etc. Returns the
original value for invalid input (if input or argument is not an integer,
or if argument is less than 1). Otherwise, output is always an integer.
"""
try:
arg = int(arg)
value = int(value)
except ValueError:
return value # Fail silently for an invalid argument
if arg < 1:
return value
try:
return int(str(value)[-arg])
except IndexError:
return 0
###################
# DATES #
###################
@register.filter(expects_localtime=True, is_safe=False)
def date(value, arg=None):
"""Formats a date according to the given format."""
if value in (None, ''):
return ''
if arg is None:
arg = settings.DATE_FORMAT
try:
return formats.date_format(value, arg)
except AttributeError:
try:
return format(value, arg)
except AttributeError:
return ''
@register.filter(expects_localtime=True, is_safe=False)
def time(value, arg=None):
"""Formats a time according to the given format."""
if value in (None, ''):
return ''
if arg is None:
arg = settings.TIME_FORMAT
try:
return formats.time_format(value, arg)
except AttributeError:
try:
return time_format(value, arg)
except AttributeError:
return ''
@register.filter("timesince", is_safe=False)
def timesince_filter(value, arg=None):
"""Formats a date as the time since that date (i.e. "4 days, 6 hours")."""
if not value:
return ''
try:
if arg:
return timesince(value, arg)
return timesince(value)
except (ValueError, TypeError):
return ''
@register.filter("timeuntil", is_safe=False)
def timeuntil_filter(value, arg=None):
"""Formats a date as the time until that date (i.e. "4 days, 6 hours")."""
if not value:
return ''
try:
return timeuntil(value, arg)
except (ValueError, TypeError):
return ''
###################
# LOGIC #
###################
@register.filter(is_safe=False)
def default(value, arg):
"""If value is unavailable, use given default."""
return value or arg
@register.filter(is_safe=False)
def default_if_none(value, arg):
"""If value is None, use given default."""
if value is None:
return arg
return value
@register.filter(is_safe=False)
def divisibleby(value, arg):
"""Returns True if the value is divisible by the argument."""
return int(value) % int(arg) == 0
@register.filter(is_safe=False)
def yesno(value, arg=None):
"""
Given a string mapping values for true, false and (optionally) None,
returns one of those strings according to the value:
========== ====================== ==================================
Value Argument Outputs
========== ====================== ==================================
``True`` ``"yeah,no,maybe"`` ``yeah``
``False`` ``"yeah,no,maybe"`` ``no``
``None`` ``"yeah,no,maybe"`` ``maybe``
``None`` ``"yeah,no"`` ``"no"`` (converts None to False
if no mapping for None is given.
========== ====================== ==================================
"""
if arg is None:
arg = ugettext('yes,no,maybe')
bits = arg.split(',')
if len(bits) < 2:
return value # Invalid arg.
try:
yes, no, maybe = bits
except ValueError:
# Unpack list of wrong size (no "maybe" value provided).
yes, no, maybe = bits[0], bits[1], bits[1]
if value is None:
return maybe
if value:
return yes
return no
###################
# MISC #
###################
@register.filter(is_safe=True)
def filesizeformat(bytes_):
"""
Formats the value like a 'human-readable' file size (i.e. 13 KB, 4.1 MB,
102 bytes, etc).
"""
try:
bytes_ = float(bytes_)
except (TypeError, ValueError, UnicodeDecodeError):
value = ungettext("%(size)d byte", "%(size)d bytes", 0) % {'size': 0}
return avoid_wrapping(value)
filesize_number_format = lambda value: formats.number_format(round(value, 1), 1)
KB = 1 << 10
MB = 1 << 20
GB = 1 << 30
TB = 1 << 40
PB = 1 << 50
negative = bytes_ < 0
if negative:
bytes_ = -bytes_ # Allow formatting of negative numbers.
if bytes_ < KB:
value = ungettext("%(size)d byte", "%(size)d bytes", bytes_) % {'size': bytes_}
elif bytes_ < MB:
value = ugettext("%s KB") % filesize_number_format(bytes_ / KB)
elif bytes_ < GB:
value = ugettext("%s MB") % filesize_number_format(bytes_ / MB)
elif bytes_ < TB:
value = ugettext("%s GB") % filesize_number_format(bytes_ / GB)
elif bytes_ < PB:
value = ugettext("%s TB") % filesize_number_format(bytes_ / TB)
else:
value = ugettext("%s PB") % filesize_number_format(bytes_ / PB)
if negative:
value = "-%s" % value
return avoid_wrapping(value)
@register.filter(is_safe=False)
def pluralize(value, arg='s'):
"""
Returns a plural suffix if the value is not 1. By default, 's' is used as
the suffix:
* If value is 0, vote{{ value|pluralize }} displays "0 votes".
* If value is 1, vote{{ value|pluralize }} displays "1 vote".
* If value is 2, vote{{ value|pluralize }} displays "2 votes".
If an argument is provided, that string is used instead:
* If value is 0, class{{ value|pluralize:"es" }} displays "0 classes".
* If value is 1, class{{ value|pluralize:"es" }} displays "1 class".
* If value is 2, class{{ value|pluralize:"es" }} displays "2 classes".
If the provided argument contains a comma, the text before the comma is
used for the singular case and the text after the comma is used for the
plural case:
* If value is 0, cand{{ value|pluralize:"y,ies" }} displays "0 candies".
* If value is 1, cand{{ value|pluralize:"y,ies" }} displays "1 candy".
* If value is 2, cand{{ value|pluralize:"y,ies" }} displays "2 candies".
"""
if ',' not in arg:
arg = ',' + arg
bits = arg.split(',')
if len(bits) > 2:
return ''
singular_suffix, plural_suffix = bits[:2]
try:
if float(value) != 1:
return plural_suffix
except ValueError: # Invalid string that's not a number.
pass
except TypeError: # Value isn't a string or a number; maybe it's a list?
try:
if len(value) != 1:
return plural_suffix
except TypeError: # len() of unsized object.
pass
return singular_suffix
@register.filter("phone2numeric", is_safe=True)
def phone2numeric_filter(value):
"""Takes a phone number and converts it in to its numerical equivalent."""
return phone2numeric(value)
@register.filter(is_safe=True)
def pprint(value):
"""A wrapper around pprint.pprint -- for debugging, really."""
try:
return pformat(value)
except Exception as e:
return "Error in formatting: %s: %s" % (e.__class__.__name__, force_text(e, errors="replace"))
|
bsd-3-clause
|
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geminateCoder/Character-Archive-Website
|
Lib/site-packages/pip/_vendor/distlib/markers.py
|
1261
|
6282
|
# -*- coding: utf-8 -*-
#
# Copyright (C) 2012-2013 Vinay Sajip.
# Licensed to the Python Software Foundation under a contributor agreement.
# See LICENSE.txt and CONTRIBUTORS.txt.
#
"""Parser for the environment markers micro-language defined in PEP 345."""
import ast
import os
import sys
import platform
from .compat import python_implementation, string_types
from .util import in_venv
__all__ = ['interpret']
class Evaluator(object):
"""
A limited evaluator for Python expressions.
"""
operators = {
'eq': lambda x, y: x == y,
'gt': lambda x, y: x > y,
'gte': lambda x, y: x >= y,
'in': lambda x, y: x in y,
'lt': lambda x, y: x < y,
'lte': lambda x, y: x <= y,
'not': lambda x: not x,
'noteq': lambda x, y: x != y,
'notin': lambda x, y: x not in y,
}
allowed_values = {
'sys_platform': sys.platform,
'python_version': '%s.%s' % sys.version_info[:2],
# parsing sys.platform is not reliable, but there is no other
# way to get e.g. 2.7.2+, and the PEP is defined with sys.version
'python_full_version': sys.version.split(' ', 1)[0],
'os_name': os.name,
'platform_in_venv': str(in_venv()),
'platform_release': platform.release(),
'platform_version': platform.version(),
'platform_machine': platform.machine(),
'platform_python_implementation': python_implementation(),
}
def __init__(self, context=None):
"""
Initialise an instance.
:param context: If specified, names are looked up in this mapping.
"""
self.context = context or {}
self.source = None
def get_fragment(self, offset):
"""
Get the part of the source which is causing a problem.
"""
fragment_len = 10
s = '%r' % (self.source[offset:offset + fragment_len])
if offset + fragment_len < len(self.source):
s += '...'
return s
def get_handler(self, node_type):
"""
Get a handler for the specified AST node type.
"""
return getattr(self, 'do_%s' % node_type, None)
def evaluate(self, node, filename=None):
"""
Evaluate a source string or node, using ``filename`` when
displaying errors.
"""
if isinstance(node, string_types):
self.source = node
kwargs = {'mode': 'eval'}
if filename:
kwargs['filename'] = filename
try:
node = ast.parse(node, **kwargs)
except SyntaxError as e:
s = self.get_fragment(e.offset)
raise SyntaxError('syntax error %s' % s)
node_type = node.__class__.__name__.lower()
handler = self.get_handler(node_type)
if handler is None:
if self.source is None:
s = '(source not available)'
else:
s = self.get_fragment(node.col_offset)
raise SyntaxError("don't know how to evaluate %r %s" % (
node_type, s))
return handler(node)
def get_attr_key(self, node):
assert isinstance(node, ast.Attribute), 'attribute node expected'
return '%s.%s' % (node.value.id, node.attr)
def do_attribute(self, node):
if not isinstance(node.value, ast.Name):
valid = False
else:
key = self.get_attr_key(node)
valid = key in self.context or key in self.allowed_values
if not valid:
raise SyntaxError('invalid expression: %s' % key)
if key in self.context:
result = self.context[key]
else:
result = self.allowed_values[key]
return result
def do_boolop(self, node):
result = self.evaluate(node.values[0])
is_or = node.op.__class__ is ast.Or
is_and = node.op.__class__ is ast.And
assert is_or or is_and
if (is_and and result) or (is_or and not result):
for n in node.values[1:]:
result = self.evaluate(n)
if (is_or and result) or (is_and and not result):
break
return result
def do_compare(self, node):
def sanity_check(lhsnode, rhsnode):
valid = True
if isinstance(lhsnode, ast.Str) and isinstance(rhsnode, ast.Str):
valid = False
#elif (isinstance(lhsnode, ast.Attribute)
# and isinstance(rhsnode, ast.Attribute)):
# klhs = self.get_attr_key(lhsnode)
# krhs = self.get_attr_key(rhsnode)
# valid = klhs != krhs
if not valid:
s = self.get_fragment(node.col_offset)
raise SyntaxError('Invalid comparison: %s' % s)
lhsnode = node.left
lhs = self.evaluate(lhsnode)
result = True
for op, rhsnode in zip(node.ops, node.comparators):
sanity_check(lhsnode, rhsnode)
op = op.__class__.__name__.lower()
if op not in self.operators:
raise SyntaxError('unsupported operation: %r' % op)
rhs = self.evaluate(rhsnode)
result = self.operators[op](lhs, rhs)
if not result:
break
lhs = rhs
lhsnode = rhsnode
return result
def do_expression(self, node):
return self.evaluate(node.body)
def do_name(self, node):
valid = False
if node.id in self.context:
valid = True
result = self.context[node.id]
elif node.id in self.allowed_values:
valid = True
result = self.allowed_values[node.id]
if not valid:
raise SyntaxError('invalid expression: %s' % node.id)
return result
def do_str(self, node):
return node.s
def interpret(marker, execution_context=None):
"""
Interpret a marker and return a result depending on environment.
:param marker: The marker to interpret.
:type marker: str
:param execution_context: The context used for name lookup.
:type execution_context: mapping
"""
return Evaluator(execution_context).evaluate(marker.strip())
|
cc0-1.0
|
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kkusch/HoneyPy
|
loggers/twitter/honeypy_twitter.py
|
1
|
1837
|
# HoneyPy Copyright (C) 2013-2017 foospidy
# https://github.com/foospidy/HoneyPy
# See LICENSE for details
# HoneyPy twitter module
from twitter import Twitter
from twitter.oauth import OAuth
from twisted.python import log
def process(config, section, parts, time_parts):
# TCP
# parts[0]: date
# parts[1]: time_parts
# parts[2]: plugin
# parts[3]: session
# parts[4]: protocol
# parts[5]: event
# parts[6]: local_host
# parts[7]: local_port
# parts[8]: service
# parts[9]: remote_host
# parts[10]: remote_port
# parts[11]: data
# UDP
# parts[0]: date
# parts[1]: time_parts
# parts[2]: plugin string part
# parts[3]: plugin string part
# parts[4]: session
# parts[5]: protocol
# parts[6]: event
# parts[7]: local_host
# parts[8]: local_port
# parts[9]: service
# parts[10]: remote_host
# parts[11]: remote_port
# parts[12]: data
if parts[4] == 'TCP':
post(config, parts[8], parts[9])
else:
# UDP splits differently (see comment section above)
post(config, parts[9], parts[10])
def post(honeypycfg, service, clientip):
ck = honeypycfg.get('twitter', 'consumerkey')
cs = honeypycfg.get('twitter', 'consumersecret')
ot = honeypycfg.get('twitter', 'oauthtoken')
os = honeypycfg.get('twitter', 'oauthsecret')
t = Twitter(auth=OAuth(ot, os, ck, cs))
nodename = honeypycfg.get('honeypy', 'nodename')
try:
t.statuses.update(status=nodename + ': #' + service + ' Possible ' + service + ' attack from ' + clientip + ' https://riskdiscovery.com/honeydb/#host/' + clientip)
except Exception, err:
log.msg('Error posting to Twitter: %s' % err)
|
gpl-2.0
|
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] |
wartman4404/servo
|
tests/wpt/css-tests/tools/pywebsocket/src/test/test_handshake_hybi.py
|
413
|
22552
|
#!/usr/bin/env python
#
# Copyright 2011, 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.
"""Tests for handshake module."""
import unittest
import set_sys_path # Update sys.path to locate mod_pywebsocket module.
from mod_pywebsocket import common
from mod_pywebsocket.handshake._base import AbortedByUserException
from mod_pywebsocket.handshake._base import HandshakeException
from mod_pywebsocket.handshake._base import VersionException
from mod_pywebsocket.handshake.hybi import Handshaker
import mock
class RequestDefinition(object):
"""A class for holding data for constructing opening handshake strings for
testing the opening handshake processor.
"""
def __init__(self, method, uri, headers):
self.method = method
self.uri = uri
self.headers = headers
def _create_good_request_def():
return RequestDefinition(
'GET', '/demo',
{'Host': 'server.example.com',
'Upgrade': 'websocket',
'Connection': 'Upgrade',
'Sec-WebSocket-Key': 'dGhlIHNhbXBsZSBub25jZQ==',
'Sec-WebSocket-Version': '13',
'Origin': 'http://example.com'})
def _create_request(request_def):
conn = mock.MockConn('')
return mock.MockRequest(
method=request_def.method,
uri=request_def.uri,
headers_in=request_def.headers,
connection=conn)
def _create_handshaker(request):
handshaker = Handshaker(request, mock.MockDispatcher())
return handshaker
class SubprotocolChoosingDispatcher(object):
"""A dispatcher for testing. This dispatcher sets the i-th subprotocol
of requested ones to ws_protocol where i is given on construction as index
argument. If index is negative, default_value will be set to ws_protocol.
"""
def __init__(self, index, default_value=None):
self.index = index
self.default_value = default_value
def do_extra_handshake(self, conn_context):
if self.index >= 0:
conn_context.ws_protocol = conn_context.ws_requested_protocols[
self.index]
else:
conn_context.ws_protocol = self.default_value
def transfer_data(self, conn_context):
pass
class HandshakeAbortedException(Exception):
pass
class AbortingDispatcher(object):
"""A dispatcher for testing. This dispatcher raises an exception in
do_extra_handshake to reject the request.
"""
def do_extra_handshake(self, conn_context):
raise HandshakeAbortedException('An exception to reject the request')
def transfer_data(self, conn_context):
pass
class AbortedByUserDispatcher(object):
"""A dispatcher for testing. This dispatcher raises an
AbortedByUserException in do_extra_handshake to reject the request.
"""
def do_extra_handshake(self, conn_context):
raise AbortedByUserException('An AbortedByUserException to reject the '
'request')
def transfer_data(self, conn_context):
pass
_EXPECTED_RESPONSE = (
'HTTP/1.1 101 Switching Protocols\r\n'
'Upgrade: websocket\r\n'
'Connection: Upgrade\r\n'
'Sec-WebSocket-Accept: s3pPLMBiTxaQ9kYGzzhZRbK+xOo=\r\n\r\n')
class HandshakerTest(unittest.TestCase):
"""A unittest for draft-ietf-hybi-thewebsocketprotocol-06 and later
handshake processor.
"""
def test_do_handshake(self):
request = _create_request(_create_good_request_def())
dispatcher = mock.MockDispatcher()
handshaker = Handshaker(request, dispatcher)
handshaker.do_handshake()
self.assertTrue(dispatcher.do_extra_handshake_called)
self.assertEqual(
_EXPECTED_RESPONSE, request.connection.written_data())
self.assertEqual('/demo', request.ws_resource)
self.assertEqual('http://example.com', request.ws_origin)
self.assertEqual(None, request.ws_protocol)
self.assertEqual(None, request.ws_extensions)
self.assertEqual(common.VERSION_HYBI_LATEST, request.ws_version)
def test_do_handshake_with_extra_headers(self):
request_def = _create_good_request_def()
# Add headers not related to WebSocket opening handshake.
request_def.headers['FooKey'] = 'BarValue'
request_def.headers['EmptyKey'] = ''
request = _create_request(request_def)
handshaker = _create_handshaker(request)
handshaker.do_handshake()
self.assertEqual(
_EXPECTED_RESPONSE, request.connection.written_data())
def test_do_handshake_with_capitalized_value(self):
request_def = _create_good_request_def()
request_def.headers['upgrade'] = 'WEBSOCKET'
request = _create_request(request_def)
handshaker = _create_handshaker(request)
handshaker.do_handshake()
self.assertEqual(
_EXPECTED_RESPONSE, request.connection.written_data())
request_def = _create_good_request_def()
request_def.headers['Connection'] = 'UPGRADE'
request = _create_request(request_def)
handshaker = _create_handshaker(request)
handshaker.do_handshake()
self.assertEqual(
_EXPECTED_RESPONSE, request.connection.written_data())
def test_do_handshake_with_multiple_connection_values(self):
request_def = _create_good_request_def()
request_def.headers['Connection'] = 'Upgrade, keep-alive, , '
request = _create_request(request_def)
handshaker = _create_handshaker(request)
handshaker.do_handshake()
self.assertEqual(
_EXPECTED_RESPONSE, request.connection.written_data())
def test_aborting_handshake(self):
handshaker = Handshaker(
_create_request(_create_good_request_def()),
AbortingDispatcher())
# do_extra_handshake raises an exception. Check that it's not caught by
# do_handshake.
self.assertRaises(HandshakeAbortedException, handshaker.do_handshake)
def test_do_handshake_with_protocol(self):
request_def = _create_good_request_def()
request_def.headers['Sec-WebSocket-Protocol'] = 'chat, superchat'
request = _create_request(request_def)
handshaker = Handshaker(request, SubprotocolChoosingDispatcher(0))
handshaker.do_handshake()
EXPECTED_RESPONSE = (
'HTTP/1.1 101 Switching Protocols\r\n'
'Upgrade: websocket\r\n'
'Connection: Upgrade\r\n'
'Sec-WebSocket-Accept: s3pPLMBiTxaQ9kYGzzhZRbK+xOo=\r\n'
'Sec-WebSocket-Protocol: chat\r\n\r\n')
self.assertEqual(EXPECTED_RESPONSE, request.connection.written_data())
self.assertEqual('chat', request.ws_protocol)
def test_do_handshake_protocol_not_in_request_but_in_response(self):
request_def = _create_good_request_def()
request = _create_request(request_def)
handshaker = Handshaker(
request, SubprotocolChoosingDispatcher(-1, 'foobar'))
# No request has been made but ws_protocol is set. HandshakeException
# must be raised.
self.assertRaises(HandshakeException, handshaker.do_handshake)
def test_do_handshake_with_protocol_no_protocol_selection(self):
request_def = _create_good_request_def()
request_def.headers['Sec-WebSocket-Protocol'] = 'chat, superchat'
request = _create_request(request_def)
handshaker = _create_handshaker(request)
# ws_protocol is not set. HandshakeException must be raised.
self.assertRaises(HandshakeException, handshaker.do_handshake)
def test_do_handshake_with_extensions(self):
request_def = _create_good_request_def()
request_def.headers['Sec-WebSocket-Extensions'] = (
'permessage-compress; method=deflate, unknown')
EXPECTED_RESPONSE = (
'HTTP/1.1 101 Switching Protocols\r\n'
'Upgrade: websocket\r\n'
'Connection: Upgrade\r\n'
'Sec-WebSocket-Accept: s3pPLMBiTxaQ9kYGzzhZRbK+xOo=\r\n'
'Sec-WebSocket-Extensions: permessage-compress; method=deflate\r\n'
'\r\n')
request = _create_request(request_def)
handshaker = _create_handshaker(request)
handshaker.do_handshake()
self.assertEqual(EXPECTED_RESPONSE, request.connection.written_data())
self.assertEqual(1, len(request.ws_extensions))
extension = request.ws_extensions[0]
self.assertEqual(common.PERMESSAGE_COMPRESSION_EXTENSION,
extension.name())
self.assertEqual(['method'], extension.get_parameter_names())
self.assertEqual('deflate', extension.get_parameter_value('method'))
self.assertEqual(1, len(request.ws_extension_processors))
self.assertEqual(common.PERMESSAGE_COMPRESSION_EXTENSION,
request.ws_extension_processors[0].name())
def test_do_handshake_with_permessage_compress(self):
request_def = _create_good_request_def()
request_def.headers['Sec-WebSocket-Extensions'] = (
'permessage-compress; method=deflate')
request = _create_request(request_def)
handshaker = _create_handshaker(request)
handshaker.do_handshake()
self.assertEqual(1, len(request.ws_extensions))
self.assertEqual(common.PERMESSAGE_COMPRESSION_EXTENSION,
request.ws_extensions[0].name())
self.assertEqual(1, len(request.ws_extension_processors))
self.assertEqual(common.PERMESSAGE_COMPRESSION_EXTENSION,
request.ws_extension_processors[0].name())
def test_do_handshake_with_quoted_extensions(self):
request_def = _create_good_request_def()
request_def.headers['Sec-WebSocket-Extensions'] = (
'permessage-compress; method=deflate, , '
'unknown; e = "mc^2"; ma="\r\n \\\rf "; pv=nrt')
request = _create_request(request_def)
handshaker = _create_handshaker(request)
handshaker.do_handshake()
self.assertEqual(2, len(request.ws_requested_extensions))
first_extension = request.ws_requested_extensions[0]
self.assertEqual('permessage-compress', first_extension.name())
self.assertEqual(['method'], first_extension.get_parameter_names())
self.assertEqual('deflate',
first_extension.get_parameter_value('method'))
second_extension = request.ws_requested_extensions[1]
self.assertEqual('unknown', second_extension.name())
self.assertEqual(
['e', 'ma', 'pv'], second_extension.get_parameter_names())
self.assertEqual('mc^2', second_extension.get_parameter_value('e'))
self.assertEqual(' \rf ', second_extension.get_parameter_value('ma'))
self.assertEqual('nrt', second_extension.get_parameter_value('pv'))
def test_do_handshake_with_optional_headers(self):
request_def = _create_good_request_def()
request_def.headers['EmptyValue'] = ''
request_def.headers['AKey'] = 'AValue'
request = _create_request(request_def)
handshaker = _create_handshaker(request)
handshaker.do_handshake()
self.assertEqual(
'AValue', request.headers_in['AKey'])
self.assertEqual(
'', request.headers_in['EmptyValue'])
def test_abort_extra_handshake(self):
handshaker = Handshaker(
_create_request(_create_good_request_def()),
AbortedByUserDispatcher())
# do_extra_handshake raises an AbortedByUserException. Check that it's
# not caught by do_handshake.
self.assertRaises(AbortedByUserException, handshaker.do_handshake)
def test_do_handshake_with_mux_and_deflate_frame(self):
request_def = _create_good_request_def()
request_def.headers['Sec-WebSocket-Extensions'] = ('%s, %s' % (
common.MUX_EXTENSION,
common.DEFLATE_FRAME_EXTENSION))
request = _create_request(request_def)
handshaker = _create_handshaker(request)
handshaker.do_handshake()
# mux should be rejected.
self.assertEqual(1, len(request.ws_extensions))
self.assertEqual(common.DEFLATE_FRAME_EXTENSION,
request.ws_extensions[0].name())
self.assertEqual(2, len(request.ws_extension_processors))
self.assertEqual(common.MUX_EXTENSION,
request.ws_extension_processors[0].name())
self.assertEqual(common.DEFLATE_FRAME_EXTENSION,
request.ws_extension_processors[1].name())
self.assertFalse(hasattr(request, 'mux_processor'))
def test_do_handshake_with_deflate_frame_and_mux(self):
request_def = _create_good_request_def()
request_def.headers['Sec-WebSocket-Extensions'] = ('%s, %s' % (
common.DEFLATE_FRAME_EXTENSION,
common.MUX_EXTENSION))
request = _create_request(request_def)
handshaker = _create_handshaker(request)
handshaker.do_handshake()
# mux should be rejected.
self.assertEqual(1, len(request.ws_extensions))
first_extension = request.ws_extensions[0]
self.assertEqual(common.DEFLATE_FRAME_EXTENSION,
first_extension.name())
self.assertEqual(2, len(request.ws_extension_processors))
self.assertEqual(common.DEFLATE_FRAME_EXTENSION,
request.ws_extension_processors[0].name())
self.assertEqual(common.MUX_EXTENSION,
request.ws_extension_processors[1].name())
self.assertFalse(hasattr(request, 'mux'))
def test_do_handshake_with_permessage_compress_and_mux(self):
request_def = _create_good_request_def()
request_def.headers['Sec-WebSocket-Extensions'] = (
'%s; method=deflate, %s' % (
common.PERMESSAGE_COMPRESSION_EXTENSION,
common.MUX_EXTENSION))
request = _create_request(request_def)
handshaker = _create_handshaker(request)
handshaker.do_handshake()
self.assertEqual(1, len(request.ws_extensions))
self.assertEqual(common.MUX_EXTENSION,
request.ws_extensions[0].name())
self.assertEqual(2, len(request.ws_extension_processors))
self.assertEqual(common.PERMESSAGE_COMPRESSION_EXTENSION,
request.ws_extension_processors[0].name())
self.assertEqual(common.MUX_EXTENSION,
request.ws_extension_processors[1].name())
self.assertTrue(hasattr(request, 'mux_processor'))
self.assertTrue(request.mux_processor.is_active())
mux_extensions = request.mux_processor.extensions()
self.assertEqual(1, len(mux_extensions))
self.assertEqual(common.PERMESSAGE_COMPRESSION_EXTENSION,
mux_extensions[0].name())
def test_do_handshake_with_mux_and_permessage_compress(self):
request_def = _create_good_request_def()
request_def.headers['Sec-WebSocket-Extensions'] = (
'%s, %s; method=deflate' % (
common.MUX_EXTENSION,
common.PERMESSAGE_COMPRESSION_EXTENSION))
request = _create_request(request_def)
handshaker = _create_handshaker(request)
handshaker.do_handshake()
# mux should be rejected.
self.assertEqual(1, len(request.ws_extensions))
first_extension = request.ws_extensions[0]
self.assertEqual(common.PERMESSAGE_COMPRESSION_EXTENSION,
first_extension.name())
self.assertEqual(2, len(request.ws_extension_processors))
self.assertEqual(common.MUX_EXTENSION,
request.ws_extension_processors[0].name())
self.assertEqual(common.PERMESSAGE_COMPRESSION_EXTENSION,
request.ws_extension_processors[1].name())
self.assertFalse(hasattr(request, 'mux_processor'))
def test_bad_requests(self):
bad_cases = [
('HTTP request',
RequestDefinition(
'GET', '/demo',
{'Host': 'www.google.com',
'User-Agent':
'Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10.5;'
' en-US; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3'
' GTB6 GTBA',
'Accept':
'text/html,application/xhtml+xml,application/xml;q=0.9,'
'*/*;q=0.8',
'Accept-Language': 'en-us,en;q=0.5',
'Accept-Encoding': 'gzip,deflate',
'Accept-Charset': 'ISO-8859-1,utf-8;q=0.7,*;q=0.7',
'Keep-Alive': '300',
'Connection': 'keep-alive'}), None, True)]
request_def = _create_good_request_def()
request_def.method = 'POST'
bad_cases.append(('Wrong method', request_def, None, True))
request_def = _create_good_request_def()
del request_def.headers['Host']
bad_cases.append(('Missing Host', request_def, None, True))
request_def = _create_good_request_def()
del request_def.headers['Upgrade']
bad_cases.append(('Missing Upgrade', request_def, None, True))
request_def = _create_good_request_def()
request_def.headers['Upgrade'] = 'nonwebsocket'
bad_cases.append(('Wrong Upgrade', request_def, None, True))
request_def = _create_good_request_def()
del request_def.headers['Connection']
bad_cases.append(('Missing Connection', request_def, None, True))
request_def = _create_good_request_def()
request_def.headers['Connection'] = 'Downgrade'
bad_cases.append(('Wrong Connection', request_def, None, True))
request_def = _create_good_request_def()
del request_def.headers['Sec-WebSocket-Key']
bad_cases.append(('Missing Sec-WebSocket-Key', request_def, 400, True))
request_def = _create_good_request_def()
request_def.headers['Sec-WebSocket-Key'] = (
'dGhlIHNhbXBsZSBub25jZQ==garbage')
bad_cases.append(('Wrong Sec-WebSocket-Key (with garbage on the tail)',
request_def, 400, True))
request_def = _create_good_request_def()
request_def.headers['Sec-WebSocket-Key'] = 'YQ==' # BASE64 of 'a'
bad_cases.append(
('Wrong Sec-WebSocket-Key (decoded value is not 16 octets long)',
request_def, 400, True))
request_def = _create_good_request_def()
# The last character right before == must be any of A, Q, w and g.
request_def.headers['Sec-WebSocket-Key'] = (
'AQIDBAUGBwgJCgsMDQ4PEC==')
bad_cases.append(
('Wrong Sec-WebSocket-Key (padding bits are not zero)',
request_def, 400, True))
request_def = _create_good_request_def()
request_def.headers['Sec-WebSocket-Key'] = (
'dGhlIHNhbXBsZSBub25jZQ==,dGhlIHNhbXBsZSBub25jZQ==')
bad_cases.append(
('Wrong Sec-WebSocket-Key (multiple values)',
request_def, 400, True))
request_def = _create_good_request_def()
del request_def.headers['Sec-WebSocket-Version']
bad_cases.append(('Missing Sec-WebSocket-Version', request_def, None,
True))
request_def = _create_good_request_def()
request_def.headers['Sec-WebSocket-Version'] = '3'
bad_cases.append(('Wrong Sec-WebSocket-Version', request_def, None,
False))
request_def = _create_good_request_def()
request_def.headers['Sec-WebSocket-Version'] = '13, 13'
bad_cases.append(('Wrong Sec-WebSocket-Version (multiple values)',
request_def, 400, True))
request_def = _create_good_request_def()
request_def.headers['Sec-WebSocket-Protocol'] = 'illegal\x09protocol'
bad_cases.append(('Illegal Sec-WebSocket-Protocol',
request_def, 400, True))
request_def = _create_good_request_def()
request_def.headers['Sec-WebSocket-Protocol'] = ''
bad_cases.append(('Empty Sec-WebSocket-Protocol',
request_def, 400, True))
for (case_name, request_def, expected_status,
expect_handshake_exception) in bad_cases:
request = _create_request(request_def)
handshaker = Handshaker(request, mock.MockDispatcher())
try:
handshaker.do_handshake()
self.fail('No exception thrown for \'%s\' case' % case_name)
except HandshakeException, e:
self.assertTrue(expect_handshake_exception)
self.assertEqual(expected_status, e.status)
except VersionException, e:
self.assertFalse(expect_handshake_exception)
if __name__ == '__main__':
unittest.main()
# vi:sts=4 sw=4 et
|
mpl-2.0
|
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schuylermartin45/mood_switch
|
musicservice.py
|
1
|
1849
|
#/usr/bin/python
from __future__ import print_function
'''
musicservice.py
Parent class for all music services. "Enforces" a strict interface.
These classes are used by the Playback class.
@author: Schuyler Martin <schuylermartin45@gmail.com>
'''
__author__ = "Schuyler Martin"
class MusicService:
'''
Music Service class "enforces" a common interface for all music services
'''
def __init__(self, strType, plTypeTTS):
'''
Constructor
:param: strType String version of the service type's name
:param: plTypeTTS String indicating what the playlist is over TTS
(For example, radio stations may report "Playing station x" over
"Playing playlist x")
'''
self.strType = strType
self.plTypeTTS = plTypeTTS
def __str__(self):
'''
__str__()
:return: Return the service's string-name equivalent
'''
return self.strType
def getPlaylists(self):
'''
Returns a dictionary of playlists from this service
:return: Dictionary of playlists ([playlist_id] -> playlist)
'''
# "Enforce" interface
raise Exception("getPlaylists() not implemented for service "
+ self.strType)
def getStream(self, playlist):
'''
Retrieves the location of the (current) song to play
:param: playlist Reference to Playlist object to use
:return: Music stream location
'''
# "Enforce" interface
raise Exception("getStream() not implemented for service "
+ self.strType)
class ServiceException(Exception):
'''
Custom exception to throw if there is an issue with a music service
'''
pass
def main():
'''
Main execution point for testing
'''
if __name__ == '__main__':
main()
|
mit
|
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khertan/KhtBMA
|
khtbma/bna.py
|
1
|
5890
|
"""
python-bna
Battle.net Authenticator routines in Python.
Specification can be found here:
<http://bnetauth.freeportal.us/specification.html>
Python implementation by Jerome Leclanche <jerome.leclanche@gmail.com>
"""
__version__ = "3.1"
import hmac
from binascii import hexlify
from hashlib import sha1
try:
from http.client import HTTPConnection
except ImportError:
from httplib import HTTPConnection
from time import time
RSA_MOD = 104890018807986556874007710914205443157030159668034197186125678960287470894290830530618284943118405110896322835449099433232093151168250152146023319326491587651685252774820340995950744075665455681760652136576493028733914892166700899109836291180881063097461175643998356321993663868233366705340758102567742483097
RSA_KEY = 257
ENROLL_HOSTS = {
"EU": "m.eu.mobileservice.blizzard.com",
"US": "m.us.mobileservice.blizzard.com",
#"EU": "eu.mobile-service.blizzard.com",
#"US": "us.mobile-service.blizzard.com",
"default": "mobile-service.blizzard.com",
}
class HTTPError(Exception):
def __init__(self, msg, response):
self.response = response
super(HTTPError, self).__init__(msg)
def getOneTimePad(length):
def timedigest():
return sha1(str(time()).encode()).digest()
return (timedigest() + timedigest())[:length]
def getServerResponse(data, host, path):
"""
Send computed data to Blizzard servers
Return the answer from the server
"""
conn = HTTPConnection(host)
conn.request("POST", path, data)
response = conn.getresponse()
if response.status != 200:
raise HTTPError("%s returned status %i" % (host, response.status), response)
ret = response.read()
conn.close()
return ret
def enroll(data, host=ENROLL_HOSTS["default"], path="/enrollment/enroll.htm"):
return getServerResponse(data, host, path)
def encrypt(data):
data = int(hexlify(data), 16)
n = data ** RSA_KEY % RSA_MOD
ret = ""
while n > 0:
n, m = divmod(n, 256)
ret = chr(m) + ret
return ret
def decrypt(response, otp):
ret = bytearray()
for c, e in zip(response, otp):
# python2 compatibility
if isinstance(c, str):
c = ord(c)
e = ord(e)
ret.append(c ^ e)
return ret
def requestNewSerial(region="US", model="Motorola RAZR v3"):
"""
Requests a new authenticator
This will connect to the Blizzard servers
"""
def baseMsg(otp, region, model):
ret = (otp + b"\0" * 37)[:37]
ret += region.encode() or b"\0\0"
ret += (model.encode() + b"\0" * 16)[:16]
return b"\1" + ret
otp = getOneTimePad(37)
data = baseMsg(otp, region, model)
e = encrypt(data)
host = ENROLL_HOSTS.get(region, ENROLL_HOSTS["default"]) # get the host, or fallback to default
response = decrypt(enroll(e, host)[8:], otp)
secret = bytes(response[:20])
serial = response[20:].decode()
region = serial[:2]
if region not in ("EU", "US"):
raise ValueError("Unexpected region: %r" % (region))
return serial, secret
def bytesToRestoreCode(digest):
ret = []
for i in digest:
# Python2 compat
if isinstance(i, str):
i = ord(i)
c = i & 0x1f
if c < 10:
c += 48
else:
c += 55
if c > 72: # I
c += 1
if c > 75: # L
c += 1
if c > 78: # O
c += 1
if c > 82: # S
c += 1
ret.append(chr(c))
return "".join(ret)
def getRestoreCode(serial, secret):
data = (serial.encode() + secret)
digest = sha1(data).digest()[-10:]
return bytesToRestoreCode(digest)
def getToken(secret, digits=8, seconds=30):
"""
Computes the token for a given secret
Returns the token, and the seconds remaining
for that token
"""
from struct import pack, unpack
t = int(time())
msg = pack(">Q", int(t / seconds))
r = hmac.new(secret, msg, sha1).digest()
k = r[19]
# Python2 compat
if isinstance(k, str):
k = ord(k)
idx = k & 0x0f
h = unpack(">L", r[idx:idx+4])[0] & 0x7fffffff
return h % (10 ** digits), -(t % seconds - seconds)
def normalizeSerial(serial):
"""
Normalizes a serial
Will uppercase it, remove its dashes and strip
any whitespace
"""
return serial.upper().replace("-", "").strip()
def prettifySerial(serial):
"""
Returns the prettified version of a serial
It should look like XX-AAAA-BBBB-CCCC-DDDD
"""
serial = normalizeSerial(serial)
if len(serial) != 14:
raise ValueError("serial %r should be 14 characters long" % (serial))
def digits(chars):
if not chars.isdigit():
raise ValueError("bad serial %r" % (serial))
return "%04i" % int((chars))
return "%s-%s-%s-%s" % (serial[0:2].upper(), digits(serial[2:6]), digits(serial[6:10]), digits(serial[10:14]))
# restore functions, as reverse-engineered from the android implementation
def restore(serial, code):
serial = normalizeSerial(serial)
if len(code) != 10:
raise ValueError("invalid restore code (should be 10 bytes): %r" % (code))
challenge = initiatePaperRestore(serial)
if len(challenge) != 32:
raise HTTPError("Invalid challenge length (expected 32, got %i)" % (len(challenge)))
code = restoreCodeToBytes(code)
hash = hmac.new(code, serial.encode() + challenge, digestmod=sha1).digest()
otp = getOneTimePad(20)
e = encrypt(hash + otp)
response = validatePaperRestore(serial + e)
secret = decrypt(response, otp)
return secret
def restoreCodeToBytes(code):
ret = bytearray()
for c in code:
c = ord(c)
if 58 > c > 47:
c -= 48
else:
mod = c - 55
if c > 72:
mod -= 1
if c > 75:
mod -= 1
if c > 78:
mod -= 1
if c > 82:
mod -= 1
c = mod
ret.append(c)
return bytes(ret)
def initiatePaperRestore(serial, host=ENROLL_HOSTS["default"], path="/enrollment/initiatePaperRestore.htm"):
return getServerResponse(serial, host, path)
def validatePaperRestore(data, host=ENROLL_HOSTS["default"], path="/enrollment/validatePaperRestore.htm"):
try:
response = getServerResponse(data, host, path)
except HTTPError as e:
if e.response.status == 600:
raise HTTPError("Invalid serial or restore key", e.response)
else:
raise
return response
|
gpl-3.0
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Bloodyaugust/pongsugarlabcpp
|
lib/boost/tools/build/src/util/order.py
|
9
|
4322
|
# Copyright (C) 2003 Vladimir Prus
# Use, modification, and distribution is subject to the Boost Software
# License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy
# at http://www.boost.org/LICENSE_1_0.txt)
class Order:
"""Allows ordering arbitrary objects with regard to arbitrary binary relation.
The primary use case is the gcc toolset, which is sensitive to
library order: if library 'a' uses symbols from library 'b',
then 'a' must be present before 'b' on the linker's command line.
This requirement can be lifted for gcc with GNU ld, but for gcc with
Solaris LD (and for Solaris toolset as well), the order always matters.
So, we need to store order requirements and then order libraries
according to them. It it not possible to use dependency graph as
order requirements. What we need is "use symbols" relationship
while dependency graph provides "needs to be updated" relationship.
For example::
lib a : a.cpp b;
lib b ;
For static linking, the 'a' library need not depend on 'b'. However, it
still should come before 'b' on the command line.
"""
def __init__ (self):
self.constraints_ = []
def add_pair (self, first, second):
""" Adds the constraint that 'first' should precede 'second'.
"""
self.constraints_.append ((first, second))
def order (self, objects):
""" Given a list of objects, reorder them so that the constains specified
by 'add_pair' are satisfied.
The algorithm was adopted from an awk script by Nikita Youshchenko
(yoush at cs dot msu dot su)
"""
# The algorithm used is the same is standard transitive closure,
# except that we're not keeping in-degree for all vertices, but
# rather removing edges.
result = []
if not objects:
return result
constraints = self.__eliminate_unused_constraits (objects)
# Find some library that nobody depends upon and add it to
# the 'result' array.
obj = None
while objects:
new_objects = []
while objects:
obj = objects [0]
if self.__has_no_dependents (obj, constraints):
# Emulate break ;
new_objects.extend (objects [1:])
objects = []
else:
new_objects.append (obj)
obj = None
objects = objects [1:]
if not obj:
raise BaseException ("Circular order dependencies")
# No problem with placing first.
result.append (obj)
# Remove all containts where 'obj' comes first,
# since they are already satisfied.
constraints = self.__remove_satisfied (constraints, obj)
# Add the remaining objects for further processing
# on the next iteration
objects = new_objects
return result
def __eliminate_unused_constraits (self, objects):
""" Eliminate constraints which mention objects not in 'objects'.
In graph-theory terms, this is finding subgraph induced by
ordered vertices.
"""
result = []
for c in self.constraints_:
if c [0] in objects and c [1] in objects:
result.append (c)
return result
def __has_no_dependents (self, obj, constraints):
""" Returns true if there's no constraint in 'constraints' where
'obj' comes second.
"""
failed = False
while constraints and not failed:
c = constraints [0]
if c [1] == obj:
failed = True
constraints = constraints [1:]
return not failed
def __remove_satisfied (self, constraints, obj):
result = []
for c in constraints:
if c [0] != obj:
result.append (c)
return result
|
gpl-2.0
|
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msegado/edx-platform
|
lms/djangoapps/course_api/blocks/views.py
|
25
|
9338
|
"""
CourseBlocks API views
"""
from django.core.exceptions import ValidationError
from django.http import Http404
from rest_framework.generics import ListAPIView
from rest_framework.response import Response
from opaque_keys import InvalidKeyError
from opaque_keys.edx.keys import CourseKey
from openedx.core.lib.api.view_utils import view_auth_classes, DeveloperErrorViewMixin
from xmodule.modulestore.django import modulestore
from xmodule.modulestore.exceptions import ItemNotFoundError
from .api import get_blocks
from .forms import BlockListGetForm
@view_auth_classes()
class BlocksView(DeveloperErrorViewMixin, ListAPIView):
"""
**Use Case**
Returns the blocks within the requested block tree according to the
requesting user's access level.
**Example requests**:
GET /api/courses/v1/blocks/<root_block_usage_id>/?depth=all
GET /api/courses/v1/blocks/<usage_id>/?
username=anjali
&depth=all
&requested_fields=graded,format,student_view_multi_device
&block_counts=video
&student_view_data=video
**Parameters**:
* username: (string) The name of the user on whose behalf we want to
see the data.
Example: username=anjali
* student_view_data: (list) Indicates for which block types to return
student_view_data.
Example: student_view_data=video
* block_counts: (list) Indicates for which block types to return the
aggregate count of the blocks.
Example: block_counts=video,problem
* requested_fields: (list) Indicates which additional fields to return
for each block. For a list of available fields see under `Response
Values -> blocks`, below.
The following fields are always returned: id, type, display_name
Example: requested_fields=graded,format,student_view_multi_device
* depth: (integer or all) Indicates how deep to traverse into the blocks
hierarchy. A value of all means the entire hierarchy.
Default is 0
Example: depth=all
* nav_depth: (integer)
WARNING: nav_depth is not supported, and may be removed at any time.
Indicates how far deep to traverse into the
course hierarchy before bundling all the descendants.
Default is 3 since typical navigational views of the course show a
maximum of chapter->sequential->vertical.
Example: nav_depth=3
* return_type (string) Indicates in what data type to return the
blocks.
Default is dict. Supported values are: dict, list
Example: return_type=dict
**Response Values**
The following fields are returned with a successful response.
* root: The ID of the root node of the course blocks.
* blocks: A dictionary that maps block usage IDs to a collection of
information about each block. Each block contains the following
fields.
* id: (string) The usage ID of the block.
* type: (string) The type of block. Possible values include course,
chapter, sequential, vertical, html, problem, video, and
discussion. The type can also be the name of a custom type of block
used for the course.
* display_name: (string) The display name of the block.
* children: (list) If the block has child blocks, a list of IDs of
the child blocks. Returned only if "children" is included in the
"requested_fields" parameter.
* block_counts: (dict) For each block type specified in the
block_counts parameter to the endpoint, the aggregate number of
blocks of that type for this block and all of its descendants.
Returned only if the "block_counts" input parameter contains this
block's type.
* graded (boolean) Whether or not the block or any of its descendants
is graded. Returned only if "graded" is included in the
"requested_fields" parameter.
* format: (string) The assignment type of the block. Possible values
can be "Homework", "Lab", "Midterm Exam", and "Final Exam".
Returned only if "format" is included in the "requested_fields"
parameter.
* student_view_data: (dict) The JSON data for this block.
Returned only if the "student_view_data" input parameter contains
this block's type.
* student_view_url: (string) The URL to retrieve the HTML rendering
of this block's student view. The HTML could include CSS and
Javascript code. This field can be used in combination with the
student_view_multi_device field to decide whether to display this
content to the user.
This URL can be used as a fallback if the student_view_data for
this block type is not supported by the client or the block.
* student_view_multi_device: (boolean) Whether or not the block's
rendering obtained via block_url has support for multiple devices.
Returned only if "student_view_multi_device" is included in the
"requested_fields" parameter.
* lms_web_url: (string) The URL to the navigational container of the
xBlock on the web LMS. This URL can be used as a further fallback
if the student_view_url and the student_view_data fields are not
supported.
"""
def list(self, request, usage_key_string): # pylint: disable=arguments-differ
"""
REST API endpoint for listing all the blocks information in the course,
while regarding user access and roles.
Arguments:
request - Django request object
usage_key_string - The usage key for a block.
"""
# validate request parameters
requested_params = request.query_params.copy()
requested_params.update({'usage_key': usage_key_string})
params = BlockListGetForm(requested_params, initial={'requesting_user': request.user})
if not params.is_valid():
raise ValidationError(params.errors)
try:
return Response(
get_blocks(
request,
params.cleaned_data['usage_key'],
params.cleaned_data['user'],
params.cleaned_data['depth'],
params.cleaned_data.get('nav_depth'),
params.cleaned_data['requested_fields'],
params.cleaned_data.get('block_counts', []),
params.cleaned_data.get('student_view_data', []),
params.cleaned_data['return_type']
)
)
except ItemNotFoundError as exception:
raise Http404("Block not found: {}".format(exception.message))
@view_auth_classes()
class BlocksInCourseView(BlocksView):
"""
**Use Case**
Returns the blocks in the course according to the requesting user's
access level.
**Example requests**:
GET /api/courses/v1/blocks/?course_id=<course_id>
GET /api/courses/v1/blocks/?course_id=<course_id>
&username=anjali
&depth=all
&requested_fields=graded,format,student_view_multi_device
&block_counts=video
&student_view_data=video
**Parameters**:
This view redirects to /api/courses/v1/blocks/<root_usage_key>/ for the
root usage key of the course specified by course_id. The view accepts
all parameters accepted by :class:`BlocksView`, plus the following
required parameter
* course_id: (string, required) The ID of the course whose block data
we want to return
**Response Values**
Responses are identical to those returned by :class:`BlocksView` when
passed the root_usage_key of the requested course.
If the course_id is not supplied, a 400: Bad Request is returned, with
a message indicating that course_id is required.
If an invalid course_id is supplied, a 400: Bad Request is returned,
with a message indicating that the course_id is not valid.
"""
def list(self, request): # pylint: disable=arguments-differ
"""
Retrieves the usage_key for the requested course, and then returns the
same information that would be returned by BlocksView.list, called with
that usage key
Arguments:
request - Django request object
"""
# convert the requested course_key to the course's root block's usage_key
course_key_string = request.query_params.get('course_id', None)
if not course_key_string:
raise ValidationError('course_id is required.')
try:
course_key = CourseKey.from_string(course_key_string)
course_usage_key = modulestore().make_course_usage_key(course_key)
except InvalidKeyError:
raise ValidationError("'{}' is not a valid course key.".format(unicode(course_key_string)))
return super(BlocksInCourseView, self).list(request, course_usage_key)
|
agpl-3.0
|
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jgcaaprom/android_external_chromium_org
|
third_party/closure_linter/closure_linter/scopeutil.py
|
84
|
5414
|
#!/usr/bin/env python
#
# Copyright 2012 The Closure Linter 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.
"""Tools to match goog.scope alias statements."""
# Allow non-Google copyright
# pylint: disable=g-bad-file-header
__author__ = ('nnaze@google.com (Nathan Naze)')
import itertools
from closure_linter import ecmametadatapass
from closure_linter import tokenutil
from closure_linter.javascripttokens import JavaScriptTokenType
def IsGoogScopeBlock(context):
"""Whether the given context is a goog.scope block.
This function only checks that the block is a function block inside
a goog.scope() call.
TODO(nnaze): Implement goog.scope checks that verify the call is
in the root context and contains only a single function literal.
Args:
context: An EcmaContext of type block.
Returns:
Whether the context is a goog.scope block.
"""
if context.type != ecmametadatapass.EcmaContext.BLOCK:
return False
if not _IsFunctionLiteralBlock(context):
return False
# Check that this function is contained by a group
# of form "goog.scope(...)".
parent = context.parent
if parent and parent.type is ecmametadatapass.EcmaContext.GROUP:
last_code_token = parent.start_token.metadata.last_code
if (last_code_token and
last_code_token.type is JavaScriptTokenType.IDENTIFIER and
last_code_token.string == 'goog.scope'):
return True
return False
def _IsFunctionLiteralBlock(block_context):
"""Check if a context is a function literal block (without parameters).
Example function literal block: 'function() {}'
Args:
block_context: An EcmaContext of type block.
Returns:
Whether this context is a function literal block.
"""
previous_code_tokens_iter = itertools.ifilter(
lambda token: token not in JavaScriptTokenType.NON_CODE_TYPES,
reversed(block_context.start_token))
# Ignore the current token
next(previous_code_tokens_iter, None)
# Grab the previous three tokens and put them in correct order.
previous_code_tokens = list(itertools.islice(previous_code_tokens_iter, 3))
previous_code_tokens.reverse()
# There aren't three previous tokens.
if len(previous_code_tokens) is not 3:
return False
# Check that the previous three code tokens are "function ()"
previous_code_token_types = [token.type for token in previous_code_tokens]
if (previous_code_token_types == [
JavaScriptTokenType.FUNCTION_DECLARATION,
JavaScriptTokenType.START_PARAMETERS,
JavaScriptTokenType.END_PARAMETERS]):
return True
return False
def IsInClosurizedNamespace(symbol, closurized_namespaces):
"""Match a goog.scope alias.
Args:
symbol: An identifier like 'goog.events.Event'.
closurized_namespaces: Iterable of valid Closurized namespaces (strings).
Returns:
True if symbol is an identifier in a Closurized namespace, otherwise False.
"""
for ns in closurized_namespaces:
if symbol.startswith(ns + '.'):
return True
return False
def MatchAlias(context):
"""Match an alias statement (some identifier assigned to a variable).
Example alias: var MyClass = proj.longNamespace.MyClass.
Args:
context: An EcmaContext of type EcmaContext.VAR.
Returns:
If a valid alias, returns a tuple of alias and symbol, otherwise None.
"""
if context.type != ecmametadatapass.EcmaContext.VAR:
return
# The var's parent is a STATEMENT, which should be directly below goog.scope.
if not IsGoogScopeBlock(context.parent.parent):
return
# Get the tokens in this statement.
if context.start_token and context.end_token:
statement_tokens = tokenutil.GetTokenRange(context.start_token,
context.end_token)
else:
return
# And now just those tokens that are actually code.
is_non_code_type = lambda t: t.type not in JavaScriptTokenType.NON_CODE_TYPES
code_tokens = filter(is_non_code_type, statement_tokens)
# This section identifies statements of the alias form "var alias = symbol".
# Pop off the semicolon if present.
if code_tokens and code_tokens[-1].IsType(JavaScriptTokenType.SEMICOLON):
code_tokens.pop()
if len(code_tokens) < 4:
return
# Verify that this is of the form "var lvalue = identifier;".
# The identifier may span multiple lines and could be multiple tokens.
if (code_tokens[0].IsKeyword('var') and
code_tokens[1].IsType(JavaScriptTokenType.SIMPLE_LVALUE) and
code_tokens[2].IsOperator('=') and
all(t.IsType(JavaScriptTokenType.IDENTIFIER) for t in code_tokens[3:])):
alias, symbol = code_tokens[1], code_tokens[3]
# Mark both tokens as an alias definition to avoid counting them as usages.
alias.metadata.is_alias_definition = True
symbol.metadata.is_alias_definition = True
return alias.string, tokenutil.GetIdentifierForToken(symbol)
|
bsd-3-clause
|
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myfluxi/xxICSKernel
|
scripts/tracing/draw_functrace.py
|
14676
|
3560
|
#!/usr/bin/python
"""
Copyright 2008 (c) Frederic Weisbecker <fweisbec@gmail.com>
Licensed under the terms of the GNU GPL License version 2
This script parses a trace provided by the function tracer in
kernel/trace/trace_functions.c
The resulted trace is processed into a tree to produce a more human
view of the call stack by drawing textual but hierarchical tree of
calls. Only the functions's names and the the call time are provided.
Usage:
Be sure that you have CONFIG_FUNCTION_TRACER
# mount -t debugfs nodev /sys/kernel/debug
# echo function > /sys/kernel/debug/tracing/current_tracer
$ cat /sys/kernel/debug/tracing/trace_pipe > ~/raw_trace_func
Wait some times but not too much, the script is a bit slow.
Break the pipe (Ctrl + Z)
$ scripts/draw_functrace.py < raw_trace_func > draw_functrace
Then you have your drawn trace in draw_functrace
"""
import sys, re
class CallTree:
""" This class provides a tree representation of the functions
call stack. If a function has no parent in the kernel (interrupt,
syscall, kernel thread...) then it is attached to a virtual parent
called ROOT.
"""
ROOT = None
def __init__(self, func, time = None, parent = None):
self._func = func
self._time = time
if parent is None:
self._parent = CallTree.ROOT
else:
self._parent = parent
self._children = []
def calls(self, func, calltime):
""" If a function calls another one, call this method to insert it
into the tree at the appropriate place.
@return: A reference to the newly created child node.
"""
child = CallTree(func, calltime, self)
self._children.append(child)
return child
def getParent(self, func):
""" Retrieve the last parent of the current node that
has the name given by func. If this function is not
on a parent, then create it as new child of root
@return: A reference to the parent.
"""
tree = self
while tree != CallTree.ROOT and tree._func != func:
tree = tree._parent
if tree == CallTree.ROOT:
child = CallTree.ROOT.calls(func, None)
return child
return tree
def __repr__(self):
return self.__toString("", True)
def __toString(self, branch, lastChild):
if self._time is not None:
s = "%s----%s (%s)\n" % (branch, self._func, self._time)
else:
s = "%s----%s\n" % (branch, self._func)
i = 0
if lastChild:
branch = branch[:-1] + " "
while i < len(self._children):
if i != len(self._children) - 1:
s += "%s" % self._children[i].__toString(branch +\
" |", False)
else:
s += "%s" % self._children[i].__toString(branch +\
" |", True)
i += 1
return s
class BrokenLineException(Exception):
"""If the last line is not complete because of the pipe breakage,
we want to stop the processing and ignore this line.
"""
pass
class CommentLineException(Exception):
""" If the line is a comment (as in the beginning of the trace file),
just ignore it.
"""
pass
def parseLine(line):
line = line.strip()
if line.startswith("#"):
raise CommentLineException
m = re.match("[^]]+?\\] +([0-9.]+): (\\w+) <-(\\w+)", line)
if m is None:
raise BrokenLineException
return (m.group(1), m.group(2), m.group(3))
def main():
CallTree.ROOT = CallTree("Root (Nowhere)", None, None)
tree = CallTree.ROOT
for line in sys.stdin:
try:
calltime, callee, caller = parseLine(line)
except BrokenLineException:
break
except CommentLineException:
continue
tree = tree.getParent(caller)
tree = tree.calls(callee, calltime)
print CallTree.ROOT
if __name__ == "__main__":
main()
|
gpl-2.0
|
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moreati/numpy
|
numpy/lib/npyio.py
|
35
|
71412
|
from __future__ import division, absolute_import, print_function
import sys
import os
import re
import itertools
import warnings
import weakref
from operator import itemgetter
import numpy as np
from . import format
from ._datasource import DataSource
from numpy.core.multiarray import packbits, unpackbits
from ._iotools import (
LineSplitter, NameValidator, StringConverter, ConverterError,
ConverterLockError, ConversionWarning, _is_string_like, has_nested_fields,
flatten_dtype, easy_dtype, _bytes_to_name
)
from numpy.compat import (
asbytes, asstr, asbytes_nested, bytes, basestring, unicode
)
if sys.version_info[0] >= 3:
import pickle
else:
import cPickle as pickle
from future_builtins import map
loads = pickle.loads
__all__ = [
'savetxt', 'loadtxt', 'genfromtxt', 'ndfromtxt', 'mafromtxt',
'recfromtxt', 'recfromcsv', 'load', 'loads', 'save', 'savez',
'savez_compressed', 'packbits', 'unpackbits', 'fromregex', 'DataSource'
]
class BagObj(object):
"""
BagObj(obj)
Convert attribute look-ups to getitems on the object passed in.
Parameters
----------
obj : class instance
Object on which attribute look-up is performed.
Examples
--------
>>> from numpy.lib.npyio import BagObj as BO
>>> class BagDemo(object):
... def __getitem__(self, key): # An instance of BagObj(BagDemo)
... # will call this method when any
... # attribute look-up is required
... result = "Doesn't matter what you want, "
... return result + "you're gonna get this"
...
>>> demo_obj = BagDemo()
>>> bagobj = BO(demo_obj)
>>> bagobj.hello_there
"Doesn't matter what you want, you're gonna get this"
>>> bagobj.I_can_be_anything
"Doesn't matter what you want, you're gonna get this"
"""
def __init__(self, obj):
# Use weakref to make NpzFile objects collectable by refcount
self._obj = weakref.proxy(obj)
def __getattribute__(self, key):
try:
return object.__getattribute__(self, '_obj')[key]
except KeyError:
raise AttributeError(key)
def __dir__(self):
"""
Enables dir(bagobj) to list the files in an NpzFile.
This also enables tab-completion in an interpreter or IPython.
"""
return object.__getattribute__(self, '_obj').keys()
def zipfile_factory(*args, **kwargs):
import zipfile
kwargs['allowZip64'] = True
return zipfile.ZipFile(*args, **kwargs)
class NpzFile(object):
"""
NpzFile(fid)
A dictionary-like object with lazy-loading of files in the zipped
archive provided on construction.
`NpzFile` is used to load files in the NumPy ``.npz`` data archive
format. It assumes that files in the archive have a ``.npy`` extension,
other files are ignored.
The arrays and file strings are lazily loaded on either
getitem access using ``obj['key']`` or attribute lookup using
``obj.f.key``. A list of all files (without ``.npy`` extensions) can
be obtained with ``obj.files`` and the ZipFile object itself using
``obj.zip``.
Attributes
----------
files : list of str
List of all files in the archive with a ``.npy`` extension.
zip : ZipFile instance
The ZipFile object initialized with the zipped archive.
f : BagObj instance
An object on which attribute can be performed as an alternative
to getitem access on the `NpzFile` instance itself.
allow_pickle : bool, optional
Allow loading pickled data. Default: True
pickle_kwargs : dict, optional
Additional keyword arguments to pass on to pickle.load.
These are only useful when loading object arrays saved on
Python 2 when using Python 3.
Parameters
----------
fid : file or str
The zipped archive to open. This is either a file-like object
or a string containing the path to the archive.
own_fid : bool, optional
Whether NpzFile should close the file handle.
Requires that `fid` is a file-like object.
Examples
--------
>>> from tempfile import TemporaryFile
>>> outfile = TemporaryFile()
>>> x = np.arange(10)
>>> y = np.sin(x)
>>> np.savez(outfile, x=x, y=y)
>>> outfile.seek(0)
>>> npz = np.load(outfile)
>>> isinstance(npz, np.lib.io.NpzFile)
True
>>> npz.files
['y', 'x']
>>> npz['x'] # getitem access
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
>>> npz.f.x # attribute lookup
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
"""
def __init__(self, fid, own_fid=False, allow_pickle=True,
pickle_kwargs=None):
# Import is postponed to here since zipfile depends on gzip, an
# optional component of the so-called standard library.
_zip = zipfile_factory(fid)
self._files = _zip.namelist()
self.files = []
self.allow_pickle = allow_pickle
self.pickle_kwargs = pickle_kwargs
for x in self._files:
if x.endswith('.npy'):
self.files.append(x[:-4])
else:
self.files.append(x)
self.zip = _zip
self.f = BagObj(self)
if own_fid:
self.fid = fid
else:
self.fid = None
def __enter__(self):
return self
def __exit__(self, exc_type, exc_value, traceback):
self.close()
def close(self):
"""
Close the file.
"""
if self.zip is not None:
self.zip.close()
self.zip = None
if self.fid is not None:
self.fid.close()
self.fid = None
self.f = None # break reference cycle
def __del__(self):
self.close()
def __getitem__(self, key):
# FIXME: This seems like it will copy strings around
# more than is strictly necessary. The zipfile
# will read the string and then
# the format.read_array will copy the string
# to another place in memory.
# It would be better if the zipfile could read
# (or at least uncompress) the data
# directly into the array memory.
member = 0
if key in self._files:
member = 1
elif key in self.files:
member = 1
key += '.npy'
if member:
bytes = self.zip.open(key)
magic = bytes.read(len(format.MAGIC_PREFIX))
bytes.close()
if magic == format.MAGIC_PREFIX:
bytes = self.zip.open(key)
return format.read_array(bytes,
allow_pickle=self.allow_pickle,
pickle_kwargs=self.pickle_kwargs)
else:
return self.zip.read(key)
else:
raise KeyError("%s is not a file in the archive" % key)
def __iter__(self):
return iter(self.files)
def items(self):
"""
Return a list of tuples, with each tuple (filename, array in file).
"""
return [(f, self[f]) for f in self.files]
def iteritems(self):
"""Generator that returns tuples (filename, array in file)."""
for f in self.files:
yield (f, self[f])
def keys(self):
"""Return files in the archive with a ``.npy`` extension."""
return self.files
def iterkeys(self):
"""Return an iterator over the files in the archive."""
return self.__iter__()
def __contains__(self, key):
return self.files.__contains__(key)
def load(file, mmap_mode=None, allow_pickle=True, fix_imports=True,
encoding='ASCII'):
"""
Load arrays or pickled objects from ``.npy``, ``.npz`` or pickled files.
Parameters
----------
file : file-like object or string
The file to read. File-like objects must support the
``seek()`` and ``read()`` methods. Pickled files require that the
file-like object support the ``readline()`` method as well.
mmap_mode : {None, 'r+', 'r', 'w+', 'c'}, optional
If not None, then memory-map the file, using the given mode (see
`numpy.memmap` for a detailed description of the modes). A
memory-mapped array is kept on disk. However, it can be accessed
and sliced like any ndarray. Memory mapping is especially useful
for accessing small fragments of large files without reading the
entire file into memory.
allow_pickle : bool, optional
Allow loading pickled object arrays stored in npy files. Reasons for
disallowing pickles include security, as loading pickled data can
execute arbitrary code. If pickles are disallowed, loading object
arrays will fail.
Default: True
fix_imports : bool, optional
Only useful when loading Python 2 generated pickled files on Python 3,
which includes npy/npz files containing object arrays. If `fix_imports`
is True, pickle will try to map the old Python 2 names to the new names
used in Python 3.
encoding : str, optional
What encoding to use when reading Python 2 strings. Only useful when
loading Python 2 generated pickled files on Python 3, which includes
npy/npz files containing object arrays. Values other than 'latin1',
'ASCII', and 'bytes' are not allowed, as they can corrupt numerical
data. Default: 'ASCII'
Returns
-------
result : array, tuple, dict, etc.
Data stored in the file. For ``.npz`` files, the returned instance
of NpzFile class must be closed to avoid leaking file descriptors.
Raises
------
IOError
If the input file does not exist or cannot be read.
ValueError
The file contains an object array, but allow_pickle=False given.
See Also
--------
save, savez, savez_compressed, loadtxt
memmap : Create a memory-map to an array stored in a file on disk.
Notes
-----
- If the file contains pickle data, then whatever object is stored
in the pickle is returned.
- If the file is a ``.npy`` file, then a single array is returned.
- If the file is a ``.npz`` file, then a dictionary-like object is
returned, containing ``{filename: array}`` key-value pairs, one for
each file in the archive.
- If the file is a ``.npz`` file, the returned value supports the
context manager protocol in a similar fashion to the open function::
with load('foo.npz') as data:
a = data['a']
The underlying file descriptor is closed when exiting the 'with'
block.
Examples
--------
Store data to disk, and load it again:
>>> np.save('/tmp/123', np.array([[1, 2, 3], [4, 5, 6]]))
>>> np.load('/tmp/123.npy')
array([[1, 2, 3],
[4, 5, 6]])
Store compressed data to disk, and load it again:
>>> a=np.array([[1, 2, 3], [4, 5, 6]])
>>> b=np.array([1, 2])
>>> np.savez('/tmp/123.npz', a=a, b=b)
>>> data = np.load('/tmp/123.npz')
>>> data['a']
array([[1, 2, 3],
[4, 5, 6]])
>>> data['b']
array([1, 2])
>>> data.close()
Mem-map the stored array, and then access the second row
directly from disk:
>>> X = np.load('/tmp/123.npy', mmap_mode='r')
>>> X[1, :]
memmap([4, 5, 6])
"""
import gzip
own_fid = False
if isinstance(file, basestring):
fid = open(file, "rb")
own_fid = True
else:
fid = file
if encoding not in ('ASCII', 'latin1', 'bytes'):
# The 'encoding' value for pickle also affects what encoding
# the serialized binary data of Numpy arrays is loaded
# in. Pickle does not pass on the encoding information to
# Numpy. The unpickling code in numpy.core.multiarray is
# written to assume that unicode data appearing where binary
# should be is in 'latin1'. 'bytes' is also safe, as is 'ASCII'.
#
# Other encoding values can corrupt binary data, and we
# purposefully disallow them. For the same reason, the errors=
# argument is not exposed, as values other than 'strict'
# result can similarly silently corrupt numerical data.
raise ValueError("encoding must be 'ASCII', 'latin1', or 'bytes'")
if sys.version_info[0] >= 3:
pickle_kwargs = dict(encoding=encoding, fix_imports=fix_imports)
else:
# Nothing to do on Python 2
pickle_kwargs = {}
try:
# Code to distinguish from NumPy binary files and pickles.
_ZIP_PREFIX = asbytes('PK\x03\x04')
N = len(format.MAGIC_PREFIX)
magic = fid.read(N)
fid.seek(-N, 1) # back-up
if magic.startswith(_ZIP_PREFIX):
# zip-file (assume .npz)
# Transfer file ownership to NpzFile
tmp = own_fid
own_fid = False
return NpzFile(fid, own_fid=tmp, allow_pickle=allow_pickle,
pickle_kwargs=pickle_kwargs)
elif magic == format.MAGIC_PREFIX:
# .npy file
if mmap_mode:
return format.open_memmap(file, mode=mmap_mode)
else:
return format.read_array(fid, allow_pickle=allow_pickle,
pickle_kwargs=pickle_kwargs)
else:
# Try a pickle
if not allow_pickle:
raise ValueError("allow_pickle=False, but file does not contain "
"non-pickled data")
try:
return pickle.load(fid, **pickle_kwargs)
except:
raise IOError(
"Failed to interpret file %s as a pickle" % repr(file))
finally:
if own_fid:
fid.close()
def save(file, arr, allow_pickle=True, fix_imports=True):
"""
Save an array to a binary file in NumPy ``.npy`` format.
Parameters
----------
file : file or str
File or filename to which the data is saved. If file is a file-object,
then the filename is unchanged. If file is a string, a ``.npy``
extension will be appended to the file name if it does not already
have one.
allow_pickle : bool, optional
Allow saving object arrays using Python pickles. Reasons for disallowing
pickles include security (loading pickled data can execute arbitrary
code) and portability (pickled objects may not be loadable on different
Python installations, for example if the stored objects require libraries
that are not available, and not all pickled data is compatible between
Python 2 and Python 3).
Default: True
fix_imports : bool, optional
Only useful in forcing objects in object arrays on Python 3 to be
pickled in a Python 2 compatible way. If `fix_imports` is True, pickle
will try to map the new Python 3 names to the old module names used in
Python 2, so that the pickle data stream is readable with Python 2.
arr : array_like
Array data to be saved.
See Also
--------
savez : Save several arrays into a ``.npz`` archive
savetxt, load
Notes
-----
For a description of the ``.npy`` format, see the module docstring
of `numpy.lib.format` or the Numpy Enhancement Proposal
http://docs.scipy.org/doc/numpy/neps/npy-format.html
Examples
--------
>>> from tempfile import TemporaryFile
>>> outfile = TemporaryFile()
>>> x = np.arange(10)
>>> np.save(outfile, x)
>>> outfile.seek(0) # Only needed here to simulate closing & reopening file
>>> np.load(outfile)
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
"""
own_fid = False
if isinstance(file, basestring):
if not file.endswith('.npy'):
file = file + '.npy'
fid = open(file, "wb")
own_fid = True
else:
fid = file
if sys.version_info[0] >= 3:
pickle_kwargs = dict(fix_imports=fix_imports)
else:
# Nothing to do on Python 2
pickle_kwargs = None
try:
arr = np.asanyarray(arr)
format.write_array(fid, arr, allow_pickle=allow_pickle,
pickle_kwargs=pickle_kwargs)
finally:
if own_fid:
fid.close()
def savez(file, *args, **kwds):
"""
Save several arrays into a single file in uncompressed ``.npz`` format.
If arguments are passed in with no keywords, the corresponding variable
names, in the ``.npz`` file, are 'arr_0', 'arr_1', etc. If keyword
arguments are given, the corresponding variable names, in the ``.npz``
file will match the keyword names.
Parameters
----------
file : str or file
Either the file name (string) or an open file (file-like object)
where the data will be saved. If file is a string, the ``.npz``
extension will be appended to the file name if it is not already there.
args : Arguments, optional
Arrays to save to the file. Since it is not possible for Python to
know the names of the arrays outside `savez`, the arrays will be saved
with names "arr_0", "arr_1", and so on. These arguments can be any
expression.
kwds : Keyword arguments, optional
Arrays to save to the file. Arrays will be saved in the file with the
keyword names.
Returns
-------
None
See Also
--------
save : Save a single array to a binary file in NumPy format.
savetxt : Save an array to a file as plain text.
savez_compressed : Save several arrays into a compressed ``.npz`` archive
Notes
-----
The ``.npz`` file format is a zipped archive of files named after the
variables they contain. The archive is not compressed and each file
in the archive contains one variable in ``.npy`` format. For a
description of the ``.npy`` format, see `numpy.lib.format` or the
Numpy Enhancement Proposal
http://docs.scipy.org/doc/numpy/neps/npy-format.html
When opening the saved ``.npz`` file with `load` a `NpzFile` object is
returned. This is a dictionary-like object which can be queried for
its list of arrays (with the ``.files`` attribute), and for the arrays
themselves.
Examples
--------
>>> from tempfile import TemporaryFile
>>> outfile = TemporaryFile()
>>> x = np.arange(10)
>>> y = np.sin(x)
Using `savez` with \\*args, the arrays are saved with default names.
>>> np.savez(outfile, x, y)
>>> outfile.seek(0) # Only needed here to simulate closing & reopening file
>>> npzfile = np.load(outfile)
>>> npzfile.files
['arr_1', 'arr_0']
>>> npzfile['arr_0']
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
Using `savez` with \\**kwds, the arrays are saved with the keyword names.
>>> outfile = TemporaryFile()
>>> np.savez(outfile, x=x, y=y)
>>> outfile.seek(0)
>>> npzfile = np.load(outfile)
>>> npzfile.files
['y', 'x']
>>> npzfile['x']
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
"""
_savez(file, args, kwds, False)
def savez_compressed(file, *args, **kwds):
"""
Save several arrays into a single file in compressed ``.npz`` format.
If keyword arguments are given, then filenames are taken from the keywords.
If arguments are passed in with no keywords, then stored file names are
arr_0, arr_1, etc.
Parameters
----------
file : str
File name of ``.npz`` file.
args : Arguments
Function arguments.
kwds : Keyword arguments
Keywords.
See Also
--------
numpy.savez : Save several arrays into an uncompressed ``.npz`` file format
numpy.load : Load the files created by savez_compressed.
"""
_savez(file, args, kwds, True)
def _savez(file, args, kwds, compress, allow_pickle=True, pickle_kwargs=None):
# Import is postponed to here since zipfile depends on gzip, an optional
# component of the so-called standard library.
import zipfile
# Import deferred for startup time improvement
import tempfile
if isinstance(file, basestring):
if not file.endswith('.npz'):
file = file + '.npz'
namedict = kwds
for i, val in enumerate(args):
key = 'arr_%d' % i
if key in namedict.keys():
raise ValueError(
"Cannot use un-named variables and keyword %s" % key)
namedict[key] = val
if compress:
compression = zipfile.ZIP_DEFLATED
else:
compression = zipfile.ZIP_STORED
zipf = zipfile_factory(file, mode="w", compression=compression)
# Stage arrays in a temporary file on disk, before writing to zip.
fd, tmpfile = tempfile.mkstemp(suffix='-numpy.npy')
os.close(fd)
try:
for key, val in namedict.items():
fname = key + '.npy'
fid = open(tmpfile, 'wb')
try:
format.write_array(fid, np.asanyarray(val),
allow_pickle=allow_pickle,
pickle_kwargs=pickle_kwargs)
fid.close()
fid = None
zipf.write(tmpfile, arcname=fname)
finally:
if fid:
fid.close()
finally:
os.remove(tmpfile)
zipf.close()
def _getconv(dtype):
""" Find the correct dtype converter. Adapted from matplotlib """
def floatconv(x):
x.lower()
if b'0x' in x:
return float.fromhex(asstr(x))
return float(x)
typ = dtype.type
if issubclass(typ, np.bool_):
return lambda x: bool(int(x))
if issubclass(typ, np.uint64):
return np.uint64
if issubclass(typ, np.int64):
return np.int64
if issubclass(typ, np.integer):
return lambda x: int(float(x))
elif issubclass(typ, np.longdouble):
return np.longdouble
elif issubclass(typ, np.floating):
return floatconv
elif issubclass(typ, np.complex):
return lambda x: complex(asstr(x))
elif issubclass(typ, np.bytes_):
return bytes
else:
return str
def loadtxt(fname, dtype=float, comments='#', delimiter=None,
converters=None, skiprows=0, usecols=None, unpack=False,
ndmin=0):
"""
Load data from a text file.
Each row in the text file must have the same number of values.
Parameters
----------
fname : file or str
File, filename, or generator to read. If the filename extension is
``.gz`` or ``.bz2``, the file is first decompressed. Note that
generators should return byte strings for Python 3k.
dtype : data-type, optional
Data-type of the resulting array; default: float. If this is a
structured data-type, the resulting array will be 1-dimensional, and
each row will be interpreted as an element of the array. In this
case, the number of columns used must match the number of fields in
the data-type.
comments : str or sequence, optional
The characters or list of characters used to indicate the start of a
comment;
default: '#'.
delimiter : str, optional
The string used to separate values. By default, this is any
whitespace.
converters : dict, optional
A dictionary mapping column number to a function that will convert
that column to a float. E.g., if column 0 is a date string:
``converters = {0: datestr2num}``. Converters can also be used to
provide a default value for missing data (but see also `genfromtxt`):
``converters = {3: lambda s: float(s.strip() or 0)}``. Default: None.
skiprows : int, optional
Skip the first `skiprows` lines; default: 0.
usecols : sequence, optional
Which columns to read, with 0 being the first. For example,
``usecols = (1,4,5)`` will extract the 2nd, 5th and 6th columns.
The default, None, results in all columns being read.
unpack : bool, optional
If True, the returned array is transposed, so that arguments may be
unpacked using ``x, y, z = loadtxt(...)``. When used with a structured
data-type, arrays are returned for each field. Default is False.
ndmin : int, optional
The returned array will have at least `ndmin` dimensions.
Otherwise mono-dimensional axes will be squeezed.
Legal values: 0 (default), 1 or 2.
.. versionadded:: 1.6.0
Returns
-------
out : ndarray
Data read from the text file.
See Also
--------
load, fromstring, fromregex
genfromtxt : Load data with missing values handled as specified.
scipy.io.loadmat : reads MATLAB data files
Notes
-----
This function aims to be a fast reader for simply formatted files. The
`genfromtxt` function provides more sophisticated handling of, e.g.,
lines with missing values.
.. versionadded:: 1.10.0
The strings produced by the Python float.hex method can be used as
input for floats.
Examples
--------
>>> from io import StringIO # StringIO behaves like a file object
>>> c = StringIO("0 1\\n2 3")
>>> np.loadtxt(c)
array([[ 0., 1.],
[ 2., 3.]])
>>> d = StringIO("M 21 72\\nF 35 58")
>>> np.loadtxt(d, dtype={'names': ('gender', 'age', 'weight'),
... 'formats': ('S1', 'i4', 'f4')})
array([('M', 21, 72.0), ('F', 35, 58.0)],
dtype=[('gender', '|S1'), ('age', '<i4'), ('weight', '<f4')])
>>> c = StringIO("1,0,2\\n3,0,4")
>>> x, y = np.loadtxt(c, delimiter=',', usecols=(0, 2), unpack=True)
>>> x
array([ 1., 3.])
>>> y
array([ 2., 4.])
"""
# Type conversions for Py3 convenience
if comments is not None:
if isinstance(comments, (basestring, bytes)):
comments = [asbytes(comments)]
else:
comments = [asbytes(comment) for comment in comments]
# Compile regex for comments beforehand
comments = (re.escape(comment) for comment in comments)
regex_comments = re.compile(asbytes('|').join(comments))
user_converters = converters
if delimiter is not None:
delimiter = asbytes(delimiter)
if usecols is not None:
usecols = list(usecols)
fown = False
try:
if _is_string_like(fname):
fown = True
if fname.endswith('.gz'):
import gzip
fh = iter(gzip.GzipFile(fname))
elif fname.endswith('.bz2'):
import bz2
fh = iter(bz2.BZ2File(fname))
elif sys.version_info[0] == 2:
fh = iter(open(fname, 'U'))
else:
fh = iter(open(fname))
else:
fh = iter(fname)
except TypeError:
raise ValueError('fname must be a string, file handle, or generator')
X = []
def flatten_dtype(dt):
"""Unpack a structured data-type, and produce re-packing info."""
if dt.names is None:
# If the dtype is flattened, return.
# If the dtype has a shape, the dtype occurs
# in the list more than once.
shape = dt.shape
if len(shape) == 0:
return ([dt.base], None)
else:
packing = [(shape[-1], list)]
if len(shape) > 1:
for dim in dt.shape[-2::-1]:
packing = [(dim*packing[0][0], packing*dim)]
return ([dt.base] * int(np.prod(dt.shape)), packing)
else:
types = []
packing = []
for field in dt.names:
tp, bytes = dt.fields[field]
flat_dt, flat_packing = flatten_dtype(tp)
types.extend(flat_dt)
# Avoid extra nesting for subarrays
if len(tp.shape) > 0:
packing.extend(flat_packing)
else:
packing.append((len(flat_dt), flat_packing))
return (types, packing)
def pack_items(items, packing):
"""Pack items into nested lists based on re-packing info."""
if packing is None:
return items[0]
elif packing is tuple:
return tuple(items)
elif packing is list:
return list(items)
else:
start = 0
ret = []
for length, subpacking in packing:
ret.append(pack_items(items[start:start+length], subpacking))
start += length
return tuple(ret)
def split_line(line):
"""Chop off comments, strip, and split at delimiter.
Note that although the file is opened as text, this function
returns bytes.
"""
line = asbytes(line)
if comments is not None:
line = regex_comments.split(asbytes(line), maxsplit=1)[0]
line = line.strip(asbytes('\r\n'))
if line:
return line.split(delimiter)
else:
return []
try:
# Make sure we're dealing with a proper dtype
dtype = np.dtype(dtype)
defconv = _getconv(dtype)
# Skip the first `skiprows` lines
for i in range(skiprows):
next(fh)
# Read until we find a line with some values, and use
# it to estimate the number of columns, N.
first_vals = None
try:
while not first_vals:
first_line = next(fh)
first_vals = split_line(first_line)
except StopIteration:
# End of lines reached
first_line = ''
first_vals = []
warnings.warn('loadtxt: Empty input file: "%s"' % fname)
N = len(usecols or first_vals)
dtype_types, packing = flatten_dtype(dtype)
if len(dtype_types) > 1:
# We're dealing with a structured array, each field of
# the dtype matches a column
converters = [_getconv(dt) for dt in dtype_types]
else:
# All fields have the same dtype
converters = [defconv for i in range(N)]
if N > 1:
packing = [(N, tuple)]
# By preference, use the converters specified by the user
for i, conv in (user_converters or {}).items():
if usecols:
try:
i = usecols.index(i)
except ValueError:
# Unused converter specified
continue
converters[i] = conv
# Parse each line, including the first
for i, line in enumerate(itertools.chain([first_line], fh)):
vals = split_line(line)
if len(vals) == 0:
continue
if usecols:
vals = [vals[i] for i in usecols]
if len(vals) != N:
line_num = i + skiprows + 1
raise ValueError("Wrong number of columns at line %d"
% line_num)
# Convert each value according to its column and store
items = [conv(val) for (conv, val) in zip(converters, vals)]
# Then pack it according to the dtype's nesting
items = pack_items(items, packing)
X.append(items)
finally:
if fown:
fh.close()
X = np.array(X, dtype)
# Multicolumn data are returned with shape (1, N, M), i.e.
# (1, 1, M) for a single row - remove the singleton dimension there
if X.ndim == 3 and X.shape[:2] == (1, 1):
X.shape = (1, -1)
# Verify that the array has at least dimensions `ndmin`.
# Check correctness of the values of `ndmin`
if ndmin not in [0, 1, 2]:
raise ValueError('Illegal value of ndmin keyword: %s' % ndmin)
# Tweak the size and shape of the arrays - remove extraneous dimensions
if X.ndim > ndmin:
X = np.squeeze(X)
# and ensure we have the minimum number of dimensions asked for
# - has to be in this order for the odd case ndmin=1, X.squeeze().ndim=0
if X.ndim < ndmin:
if ndmin == 1:
X = np.atleast_1d(X)
elif ndmin == 2:
X = np.atleast_2d(X).T
if unpack:
if len(dtype_types) > 1:
# For structured arrays, return an array for each field.
return [X[field] for field in dtype.names]
else:
return X.T
else:
return X
def savetxt(fname, X, fmt='%.18e', delimiter=' ', newline='\n', header='',
footer='', comments='# '):
"""
Save an array to a text file.
Parameters
----------
fname : filename or file handle
If the filename ends in ``.gz``, the file is automatically saved in
compressed gzip format. `loadtxt` understands gzipped files
transparently.
X : array_like
Data to be saved to a text file.
fmt : str or sequence of strs, optional
A single format (%10.5f), a sequence of formats, or a
multi-format string, e.g. 'Iteration %d -- %10.5f', in which
case `delimiter` is ignored. For complex `X`, the legal options
for `fmt` are:
a) a single specifier, `fmt='%.4e'`, resulting in numbers formatted
like `' (%s+%sj)' % (fmt, fmt)`
b) a full string specifying every real and imaginary part, e.g.
`' %.4e %+.4j %.4e %+.4j %.4e %+.4j'` for 3 columns
c) a list of specifiers, one per column - in this case, the real
and imaginary part must have separate specifiers,
e.g. `['%.3e + %.3ej', '(%.15e%+.15ej)']` for 2 columns
delimiter : str, optional
String or character separating columns.
newline : str, optional
String or character separating lines.
.. versionadded:: 1.5.0
header : str, optional
String that will be written at the beginning of the file.
.. versionadded:: 1.7.0
footer : str, optional
String that will be written at the end of the file.
.. versionadded:: 1.7.0
comments : str, optional
String that will be prepended to the ``header`` and ``footer`` strings,
to mark them as comments. Default: '# ', as expected by e.g.
``numpy.loadtxt``.
.. versionadded:: 1.7.0
See Also
--------
save : Save an array to a binary file in NumPy ``.npy`` format
savez : Save several arrays into an uncompressed ``.npz`` archive
savez_compressed : Save several arrays into a compressed ``.npz`` archive
Notes
-----
Further explanation of the `fmt` parameter
(``%[flag]width[.precision]specifier``):
flags:
``-`` : left justify
``+`` : Forces to precede result with + or -.
``0`` : Left pad the number with zeros instead of space (see width).
width:
Minimum number of characters to be printed. The value is not truncated
if it has more characters.
precision:
- For integer specifiers (eg. ``d,i,o,x``), the minimum number of
digits.
- For ``e, E`` and ``f`` specifiers, the number of digits to print
after the decimal point.
- For ``g`` and ``G``, the maximum number of significant digits.
- For ``s``, the maximum number of characters.
specifiers:
``c`` : character
``d`` or ``i`` : signed decimal integer
``e`` or ``E`` : scientific notation with ``e`` or ``E``.
``f`` : decimal floating point
``g,G`` : use the shorter of ``e,E`` or ``f``
``o`` : signed octal
``s`` : string of characters
``u`` : unsigned decimal integer
``x,X`` : unsigned hexadecimal integer
This explanation of ``fmt`` is not complete, for an exhaustive
specification see [1]_.
References
----------
.. [1] `Format Specification Mini-Language
<http://docs.python.org/library/string.html#
format-specification-mini-language>`_, Python Documentation.
Examples
--------
>>> x = y = z = np.arange(0.0,5.0,1.0)
>>> np.savetxt('test.out', x, delimiter=',') # X is an array
>>> np.savetxt('test.out', (x,y,z)) # x,y,z equal sized 1D arrays
>>> np.savetxt('test.out', x, fmt='%1.4e') # use exponential notation
"""
# Py3 conversions first
if isinstance(fmt, bytes):
fmt = asstr(fmt)
delimiter = asstr(delimiter)
own_fh = False
if _is_string_like(fname):
own_fh = True
if fname.endswith('.gz'):
import gzip
fh = gzip.open(fname, 'wb')
else:
if sys.version_info[0] >= 3:
fh = open(fname, 'wb')
else:
fh = open(fname, 'w')
elif hasattr(fname, 'write'):
fh = fname
else:
raise ValueError('fname must be a string or file handle')
try:
X = np.asarray(X)
# Handle 1-dimensional arrays
if X.ndim == 1:
# Common case -- 1d array of numbers
if X.dtype.names is None:
X = np.atleast_2d(X).T
ncol = 1
# Complex dtype -- each field indicates a separate column
else:
ncol = len(X.dtype.descr)
else:
ncol = X.shape[1]
iscomplex_X = np.iscomplexobj(X)
# `fmt` can be a string with multiple insertion points or a
# list of formats. E.g. '%10.5f\t%10d' or ('%10.5f', '$10d')
if type(fmt) in (list, tuple):
if len(fmt) != ncol:
raise AttributeError('fmt has wrong shape. %s' % str(fmt))
format = asstr(delimiter).join(map(asstr, fmt))
elif isinstance(fmt, str):
n_fmt_chars = fmt.count('%')
error = ValueError('fmt has wrong number of %% formats: %s' % fmt)
if n_fmt_chars == 1:
if iscomplex_X:
fmt = [' (%s+%sj)' % (fmt, fmt), ] * ncol
else:
fmt = [fmt, ] * ncol
format = delimiter.join(fmt)
elif iscomplex_X and n_fmt_chars != (2 * ncol):
raise error
elif ((not iscomplex_X) and n_fmt_chars != ncol):
raise error
else:
format = fmt
else:
raise ValueError('invalid fmt: %r' % (fmt,))
if len(header) > 0:
header = header.replace('\n', '\n' + comments)
fh.write(asbytes(comments + header + newline))
if iscomplex_X:
for row in X:
row2 = []
for number in row:
row2.append(number.real)
row2.append(number.imag)
fh.write(asbytes(format % tuple(row2) + newline))
else:
for row in X:
try:
fh.write(asbytes(format % tuple(row) + newline))
except TypeError:
raise TypeError("Mismatch between array dtype ('%s') and "
"format specifier ('%s')"
% (str(X.dtype), format))
if len(footer) > 0:
footer = footer.replace('\n', '\n' + comments)
fh.write(asbytes(comments + footer + newline))
finally:
if own_fh:
fh.close()
def fromregex(file, regexp, dtype):
"""
Construct an array from a text file, using regular expression parsing.
The returned array is always a structured array, and is constructed from
all matches of the regular expression in the file. Groups in the regular
expression are converted to fields of the structured array.
Parameters
----------
file : str or file
File name or file object to read.
regexp : str or regexp
Regular expression used to parse the file.
Groups in the regular expression correspond to fields in the dtype.
dtype : dtype or list of dtypes
Dtype for the structured array.
Returns
-------
output : ndarray
The output array, containing the part of the content of `file` that
was matched by `regexp`. `output` is always a structured array.
Raises
------
TypeError
When `dtype` is not a valid dtype for a structured array.
See Also
--------
fromstring, loadtxt
Notes
-----
Dtypes for structured arrays can be specified in several forms, but all
forms specify at least the data type and field name. For details see
`doc.structured_arrays`.
Examples
--------
>>> f = open('test.dat', 'w')
>>> f.write("1312 foo\\n1534 bar\\n444 qux")
>>> f.close()
>>> regexp = r"(\\d+)\\s+(...)" # match [digits, whitespace, anything]
>>> output = np.fromregex('test.dat', regexp,
... [('num', np.int64), ('key', 'S3')])
>>> output
array([(1312L, 'foo'), (1534L, 'bar'), (444L, 'qux')],
dtype=[('num', '<i8'), ('key', '|S3')])
>>> output['num']
array([1312, 1534, 444], dtype=int64)
"""
own_fh = False
if not hasattr(file, "read"):
file = open(file, 'rb')
own_fh = True
try:
if not hasattr(regexp, 'match'):
regexp = re.compile(asbytes(regexp))
if not isinstance(dtype, np.dtype):
dtype = np.dtype(dtype)
seq = regexp.findall(file.read())
if seq and not isinstance(seq[0], tuple):
# Only one group is in the regexp.
# Create the new array as a single data-type and then
# re-interpret as a single-field structured array.
newdtype = np.dtype(dtype[dtype.names[0]])
output = np.array(seq, dtype=newdtype)
output.dtype = dtype
else:
output = np.array(seq, dtype=dtype)
return output
finally:
if own_fh:
file.close()
#####--------------------------------------------------------------------------
#---- --- ASCII functions ---
#####--------------------------------------------------------------------------
def genfromtxt(fname, dtype=float, comments='#', delimiter=None,
skip_header=0, skip_footer=0, converters=None,
missing_values=None, filling_values=None, usecols=None,
names=None, excludelist=None, deletechars=None,
replace_space='_', autostrip=False, case_sensitive=True,
defaultfmt="f%i", unpack=None, usemask=False, loose=True,
invalid_raise=True, max_rows=None):
"""
Load data from a text file, with missing values handled as specified.
Each line past the first `skip_header` lines is split at the `delimiter`
character, and characters following the `comments` character are discarded.
Parameters
----------
fname : file, str, list of str, generator
File, filename, list, or generator to read. If the filename
extension is `.gz` or `.bz2`, the file is first decompressed. Mote
that generators must return byte strings in Python 3k. The strings
in a list or produced by a generator are treated as lines.
dtype : dtype, optional
Data type of the resulting array.
If None, the dtypes will be determined by the contents of each
column, individually.
comments : str, optional
The character used to indicate the start of a comment.
All the characters occurring on a line after a comment are discarded
delimiter : str, int, or sequence, optional
The string used to separate values. By default, any consecutive
whitespaces act as delimiter. An integer or sequence of integers
can also be provided as width(s) of each field.
skiprows : int, optional
`skiprows` was removed in numpy 1.10. Please use `skip_header` instead.
skip_header : int, optional
The number of lines to skip at the beginning of the file.
skip_footer : int, optional
The number of lines to skip at the end of the file.
converters : variable, optional
The set of functions that convert the data of a column to a value.
The converters can also be used to provide a default value
for missing data: ``converters = {3: lambda s: float(s or 0)}``.
missing : variable, optional
`missing` was removed in numpy 1.10. Please use `missing_values`
instead.
missing_values : variable, optional
The set of strings corresponding to missing data.
filling_values : variable, optional
The set of values to be used as default when the data are missing.
usecols : sequence, optional
Which columns to read, with 0 being the first. For example,
``usecols = (1, 4, 5)`` will extract the 2nd, 5th and 6th columns.
names : {None, True, str, sequence}, optional
If `names` is True, the field names are read from the first valid line
after the first `skip_header` lines.
If `names` is a sequence or a single-string of comma-separated names,
the names will be used to define the field names in a structured dtype.
If `names` is None, the names of the dtype fields will be used, if any.
excludelist : sequence, optional
A list of names to exclude. This list is appended to the default list
['return','file','print']. Excluded names are appended an underscore:
for example, `file` would become `file_`.
deletechars : str, optional
A string combining invalid characters that must be deleted from the
names.
defaultfmt : str, optional
A format used to define default field names, such as "f%i" or "f_%02i".
autostrip : bool, optional
Whether to automatically strip white spaces from the variables.
replace_space : char, optional
Character(s) used in replacement of white spaces in the variables
names. By default, use a '_'.
case_sensitive : {True, False, 'upper', 'lower'}, optional
If True, field names are case sensitive.
If False or 'upper', field names are converted to upper case.
If 'lower', field names are converted to lower case.
unpack : bool, optional
If True, the returned array is transposed, so that arguments may be
unpacked using ``x, y, z = loadtxt(...)``
usemask : bool, optional
If True, return a masked array.
If False, return a regular array.
loose : bool, optional
If True, do not raise errors for invalid values.
invalid_raise : bool, optional
If True, an exception is raised if an inconsistency is detected in the
number of columns.
If False, a warning is emitted and the offending lines are skipped.
max_rows : int, optional
The maximum number of rows to read. Must not be used with skip_footer
at the same time. If given, the value must be at least 1. Default is
to read the entire file.
.. versionadded:: 1.10.0
Returns
-------
out : ndarray
Data read from the text file. If `usemask` is True, this is a
masked array.
See Also
--------
numpy.loadtxt : equivalent function when no data is missing.
Notes
-----
* When spaces are used as delimiters, or when no delimiter has been given
as input, there should not be any missing data between two fields.
* When the variables are named (either by a flexible dtype or with `names`,
there must not be any header in the file (else a ValueError
exception is raised).
* Individual values are not stripped of spaces by default.
When using a custom converter, make sure the function does remove spaces.
References
----------
.. [1] Numpy User Guide, section `I/O with Numpy
<http://docs.scipy.org/doc/numpy/user/basics.io.genfromtxt.html>`_.
Examples
---------
>>> from io import StringIO
>>> import numpy as np
Comma delimited file with mixed dtype
>>> s = StringIO("1,1.3,abcde")
>>> data = np.genfromtxt(s, dtype=[('myint','i8'),('myfloat','f8'),
... ('mystring','S5')], delimiter=",")
>>> data
array((1, 1.3, 'abcde'),
dtype=[('myint', '<i8'), ('myfloat', '<f8'), ('mystring', '|S5')])
Using dtype = None
>>> s.seek(0) # needed for StringIO example only
>>> data = np.genfromtxt(s, dtype=None,
... names = ['myint','myfloat','mystring'], delimiter=",")
>>> data
array((1, 1.3, 'abcde'),
dtype=[('myint', '<i8'), ('myfloat', '<f8'), ('mystring', '|S5')])
Specifying dtype and names
>>> s.seek(0)
>>> data = np.genfromtxt(s, dtype="i8,f8,S5",
... names=['myint','myfloat','mystring'], delimiter=",")
>>> data
array((1, 1.3, 'abcde'),
dtype=[('myint', '<i8'), ('myfloat', '<f8'), ('mystring', '|S5')])
An example with fixed-width columns
>>> s = StringIO("11.3abcde")
>>> data = np.genfromtxt(s, dtype=None, names=['intvar','fltvar','strvar'],
... delimiter=[1,3,5])
>>> data
array((1, 1.3, 'abcde'),
dtype=[('intvar', '<i8'), ('fltvar', '<f8'), ('strvar', '|S5')])
"""
if max_rows is not None:
if skip_footer:
raise ValueError(
"The keywords 'skip_footer' and 'max_rows' can not be "
"specified at the same time.")
if max_rows < 1:
raise ValueError("'max_rows' must be at least 1.")
# Py3 data conversions to bytes, for convenience
if comments is not None:
comments = asbytes(comments)
if isinstance(delimiter, unicode):
delimiter = asbytes(delimiter)
if isinstance(missing_values, (unicode, list, tuple)):
missing_values = asbytes_nested(missing_values)
#
if usemask:
from numpy.ma import MaskedArray, make_mask_descr
# Check the input dictionary of converters
user_converters = converters or {}
if not isinstance(user_converters, dict):
raise TypeError(
"The input argument 'converter' should be a valid dictionary "
"(got '%s' instead)" % type(user_converters))
# Initialize the filehandle, the LineSplitter and the NameValidator
own_fhd = False
try:
if isinstance(fname, basestring):
if sys.version_info[0] == 2:
fhd = iter(np.lib._datasource.open(fname, 'rbU'))
else:
fhd = iter(np.lib._datasource.open(fname, 'rb'))
own_fhd = True
else:
fhd = iter(fname)
except TypeError:
raise TypeError(
"fname must be a string, filehandle, list of strings, "
"or generator. Got %s instead." % type(fname))
split_line = LineSplitter(delimiter=delimiter, comments=comments,
autostrip=autostrip)._handyman
validate_names = NameValidator(excludelist=excludelist,
deletechars=deletechars,
case_sensitive=case_sensitive,
replace_space=replace_space)
# Skip the first `skip_header` rows
for i in range(skip_header):
next(fhd)
# Keep on until we find the first valid values
first_values = None
try:
while not first_values:
first_line = next(fhd)
if names is True:
if comments in first_line:
first_line = (
asbytes('').join(first_line.split(comments)[1:]))
first_values = split_line(first_line)
except StopIteration:
# return an empty array if the datafile is empty
first_line = asbytes('')
first_values = []
warnings.warn('genfromtxt: Empty input file: "%s"' % fname)
# Should we take the first values as names ?
if names is True:
fval = first_values[0].strip()
if fval in comments:
del first_values[0]
# Check the columns to use: make sure `usecols` is a list
if usecols is not None:
try:
usecols = [_.strip() for _ in usecols.split(",")]
except AttributeError:
try:
usecols = list(usecols)
except TypeError:
usecols = [usecols, ]
nbcols = len(usecols or first_values)
# Check the names and overwrite the dtype.names if needed
if names is True:
names = validate_names([_bytes_to_name(_.strip())
for _ in first_values])
first_line = asbytes('')
elif _is_string_like(names):
names = validate_names([_.strip() for _ in names.split(',')])
elif names:
names = validate_names(names)
# Get the dtype
if dtype is not None:
dtype = easy_dtype(dtype, defaultfmt=defaultfmt, names=names,
excludelist=excludelist,
deletechars=deletechars,
case_sensitive=case_sensitive,
replace_space=replace_space)
# Make sure the names is a list (for 2.5)
if names is not None:
names = list(names)
if usecols:
for (i, current) in enumerate(usecols):
# if usecols is a list of names, convert to a list of indices
if _is_string_like(current):
usecols[i] = names.index(current)
elif current < 0:
usecols[i] = current + len(first_values)
# If the dtype is not None, make sure we update it
if (dtype is not None) and (len(dtype) > nbcols):
descr = dtype.descr
dtype = np.dtype([descr[_] for _ in usecols])
names = list(dtype.names)
# If `names` is not None, update the names
elif (names is not None) and (len(names) > nbcols):
names = [names[_] for _ in usecols]
elif (names is not None) and (dtype is not None):
names = list(dtype.names)
# Process the missing values ...............................
# Rename missing_values for convenience
user_missing_values = missing_values or ()
# Define the list of missing_values (one column: one list)
missing_values = [list([asbytes('')]) for _ in range(nbcols)]
# We have a dictionary: process it field by field
if isinstance(user_missing_values, dict):
# Loop on the items
for (key, val) in user_missing_values.items():
# Is the key a string ?
if _is_string_like(key):
try:
# Transform it into an integer
key = names.index(key)
except ValueError:
# We couldn't find it: the name must have been dropped
continue
# Redefine the key as needed if it's a column number
if usecols:
try:
key = usecols.index(key)
except ValueError:
pass
# Transform the value as a list of string
if isinstance(val, (list, tuple)):
val = [str(_) for _ in val]
else:
val = [str(val), ]
# Add the value(s) to the current list of missing
if key is None:
# None acts as default
for miss in missing_values:
miss.extend(val)
else:
missing_values[key].extend(val)
# We have a sequence : each item matches a column
elif isinstance(user_missing_values, (list, tuple)):
for (value, entry) in zip(user_missing_values, missing_values):
value = str(value)
if value not in entry:
entry.append(value)
# We have a string : apply it to all entries
elif isinstance(user_missing_values, bytes):
user_value = user_missing_values.split(asbytes(","))
for entry in missing_values:
entry.extend(user_value)
# We have something else: apply it to all entries
else:
for entry in missing_values:
entry.extend([str(user_missing_values)])
# Process the filling_values ...............................
# Rename the input for convenience
user_filling_values = filling_values
if user_filling_values is None:
user_filling_values = []
# Define the default
filling_values = [None] * nbcols
# We have a dictionary : update each entry individually
if isinstance(user_filling_values, dict):
for (key, val) in user_filling_values.items():
if _is_string_like(key):
try:
# Transform it into an integer
key = names.index(key)
except ValueError:
# We couldn't find it: the name must have been dropped,
continue
# Redefine the key if it's a column number and usecols is defined
if usecols:
try:
key = usecols.index(key)
except ValueError:
pass
# Add the value to the list
filling_values[key] = val
# We have a sequence : update on a one-to-one basis
elif isinstance(user_filling_values, (list, tuple)):
n = len(user_filling_values)
if (n <= nbcols):
filling_values[:n] = user_filling_values
else:
filling_values = user_filling_values[:nbcols]
# We have something else : use it for all entries
else:
filling_values = [user_filling_values] * nbcols
# Initialize the converters ................................
if dtype is None:
# Note: we can't use a [...]*nbcols, as we would have 3 times the same
# ... converter, instead of 3 different converters.
converters = [StringConverter(None, missing_values=miss, default=fill)
for (miss, fill) in zip(missing_values, filling_values)]
else:
dtype_flat = flatten_dtype(dtype, flatten_base=True)
# Initialize the converters
if len(dtype_flat) > 1:
# Flexible type : get a converter from each dtype
zipit = zip(dtype_flat, missing_values, filling_values)
converters = [StringConverter(dt, locked=True,
missing_values=miss, default=fill)
for (dt, miss, fill) in zipit]
else:
# Set to a default converter (but w/ different missing values)
zipit = zip(missing_values, filling_values)
converters = [StringConverter(dtype, locked=True,
missing_values=miss, default=fill)
for (miss, fill) in zipit]
# Update the converters to use the user-defined ones
uc_update = []
for (j, conv) in user_converters.items():
# If the converter is specified by column names, use the index instead
if _is_string_like(j):
try:
j = names.index(j)
i = j
except ValueError:
continue
elif usecols:
try:
i = usecols.index(j)
except ValueError:
# Unused converter specified
continue
else:
i = j
# Find the value to test - first_line is not filtered by usecols:
if len(first_line):
testing_value = first_values[j]
else:
testing_value = None
converters[i].update(conv, locked=True,
testing_value=testing_value,
default=filling_values[i],
missing_values=missing_values[i],)
uc_update.append((i, conv))
# Make sure we have the corrected keys in user_converters...
user_converters.update(uc_update)
# Fixme: possible error as following variable never used.
#miss_chars = [_.missing_values for _ in converters]
# Initialize the output lists ...
# ... rows
rows = []
append_to_rows = rows.append
# ... masks
if usemask:
masks = []
append_to_masks = masks.append
# ... invalid
invalid = []
append_to_invalid = invalid.append
# Parse each line
for (i, line) in enumerate(itertools.chain([first_line, ], fhd)):
values = split_line(line)
nbvalues = len(values)
# Skip an empty line
if nbvalues == 0:
continue
if usecols:
# Select only the columns we need
try:
values = [values[_] for _ in usecols]
except IndexError:
append_to_invalid((i + skip_header + 1, nbvalues))
continue
elif nbvalues != nbcols:
append_to_invalid((i + skip_header + 1, nbvalues))
continue
# Store the values
append_to_rows(tuple(values))
if usemask:
append_to_masks(tuple([v.strip() in m
for (v, m) in zip(values,
missing_values)]))
if len(rows) == max_rows:
break
if own_fhd:
fhd.close()
# Upgrade the converters (if needed)
if dtype is None:
for (i, converter) in enumerate(converters):
current_column = [itemgetter(i)(_m) for _m in rows]
try:
converter.iterupgrade(current_column)
except ConverterLockError:
errmsg = "Converter #%i is locked and cannot be upgraded: " % i
current_column = map(itemgetter(i), rows)
for (j, value) in enumerate(current_column):
try:
converter.upgrade(value)
except (ConverterError, ValueError):
errmsg += "(occurred line #%i for value '%s')"
errmsg %= (j + 1 + skip_header, value)
raise ConverterError(errmsg)
# Check that we don't have invalid values
nbinvalid = len(invalid)
if nbinvalid > 0:
nbrows = len(rows) + nbinvalid - skip_footer
# Construct the error message
template = " Line #%%i (got %%i columns instead of %i)" % nbcols
if skip_footer > 0:
nbinvalid_skipped = len([_ for _ in invalid
if _[0] > nbrows + skip_header])
invalid = invalid[:nbinvalid - nbinvalid_skipped]
skip_footer -= nbinvalid_skipped
#
# nbrows -= skip_footer
# errmsg = [template % (i, nb)
# for (i, nb) in invalid if i < nbrows]
# else:
errmsg = [template % (i, nb)
for (i, nb) in invalid]
if len(errmsg):
errmsg.insert(0, "Some errors were detected !")
errmsg = "\n".join(errmsg)
# Raise an exception ?
if invalid_raise:
raise ValueError(errmsg)
# Issue a warning ?
else:
warnings.warn(errmsg, ConversionWarning)
# Strip the last skip_footer data
if skip_footer > 0:
rows = rows[:-skip_footer]
if usemask:
masks = masks[:-skip_footer]
# Convert each value according to the converter:
# We want to modify the list in place to avoid creating a new one...
if loose:
rows = list(
zip(*[[conv._loose_call(_r) for _r in map(itemgetter(i), rows)]
for (i, conv) in enumerate(converters)]))
else:
rows = list(
zip(*[[conv._strict_call(_r) for _r in map(itemgetter(i), rows)]
for (i, conv) in enumerate(converters)]))
# Reset the dtype
data = rows
if dtype is None:
# Get the dtypes from the types of the converters
column_types = [conv.type for conv in converters]
# Find the columns with strings...
strcolidx = [i for (i, v) in enumerate(column_types)
if v in (type('S'), np.string_)]
# ... and take the largest number of chars.
for i in strcolidx:
column_types[i] = "|S%i" % max(len(row[i]) for row in data)
#
if names is None:
# If the dtype is uniform, don't define names, else use ''
base = set([c.type for c in converters if c._checked])
if len(base) == 1:
(ddtype, mdtype) = (list(base)[0], np.bool)
else:
ddtype = [(defaultfmt % i, dt)
for (i, dt) in enumerate(column_types)]
if usemask:
mdtype = [(defaultfmt % i, np.bool)
for (i, dt) in enumerate(column_types)]
else:
ddtype = list(zip(names, column_types))
mdtype = list(zip(names, [np.bool] * len(column_types)))
output = np.array(data, dtype=ddtype)
if usemask:
outputmask = np.array(masks, dtype=mdtype)
else:
# Overwrite the initial dtype names if needed
if names and dtype.names:
dtype.names = names
# Case 1. We have a structured type
if len(dtype_flat) > 1:
# Nested dtype, eg [('a', int), ('b', [('b0', int), ('b1', 'f4')])]
# First, create the array using a flattened dtype:
# [('a', int), ('b1', int), ('b2', float)]
# Then, view the array using the specified dtype.
if 'O' in (_.char for _ in dtype_flat):
if has_nested_fields(dtype):
raise NotImplementedError(
"Nested fields involving objects are not supported...")
else:
output = np.array(data, dtype=dtype)
else:
rows = np.array(data, dtype=[('', _) for _ in dtype_flat])
output = rows.view(dtype)
# Now, process the rowmasks the same way
if usemask:
rowmasks = np.array(
masks, dtype=np.dtype([('', np.bool) for t in dtype_flat]))
# Construct the new dtype
mdtype = make_mask_descr(dtype)
outputmask = rowmasks.view(mdtype)
# Case #2. We have a basic dtype
else:
# We used some user-defined converters
if user_converters:
ishomogeneous = True
descr = []
for i, ttype in enumerate([conv.type for conv in converters]):
# Keep the dtype of the current converter
if i in user_converters:
ishomogeneous &= (ttype == dtype.type)
if ttype == np.string_:
ttype = "|S%i" % max(len(row[i]) for row in data)
descr.append(('', ttype))
else:
descr.append(('', dtype))
# So we changed the dtype ?
if not ishomogeneous:
# We have more than one field
if len(descr) > 1:
dtype = np.dtype(descr)
# We have only one field: drop the name if not needed.
else:
dtype = np.dtype(ttype)
#
output = np.array(data, dtype)
if usemask:
if dtype.names:
mdtype = [(_, np.bool) for _ in dtype.names]
else:
mdtype = np.bool
outputmask = np.array(masks, dtype=mdtype)
# Try to take care of the missing data we missed
names = output.dtype.names
if usemask and names:
for (name, conv) in zip(names or (), converters):
missing_values = [conv(_) for _ in conv.missing_values
if _ != asbytes('')]
for mval in missing_values:
outputmask[name] |= (output[name] == mval)
# Construct the final array
if usemask:
output = output.view(MaskedArray)
output._mask = outputmask
if unpack:
return output.squeeze().T
return output.squeeze()
def ndfromtxt(fname, **kwargs):
"""
Load ASCII data stored in a file and return it as a single array.
Parameters
----------
fname, kwargs : For a description of input parameters, see `genfromtxt`.
See Also
--------
numpy.genfromtxt : generic function.
"""
kwargs['usemask'] = False
return genfromtxt(fname, **kwargs)
def mafromtxt(fname, **kwargs):
"""
Load ASCII data stored in a text file and return a masked array.
Parameters
----------
fname, kwargs : For a description of input parameters, see `genfromtxt`.
See Also
--------
numpy.genfromtxt : generic function to load ASCII data.
"""
kwargs['usemask'] = True
return genfromtxt(fname, **kwargs)
def recfromtxt(fname, **kwargs):
"""
Load ASCII data from a file and return it in a record array.
If ``usemask=False`` a standard `recarray` is returned,
if ``usemask=True`` a MaskedRecords array is returned.
Parameters
----------
fname, kwargs : For a description of input parameters, see `genfromtxt`.
See Also
--------
numpy.genfromtxt : generic function
Notes
-----
By default, `dtype` is None, which means that the data-type of the output
array will be determined from the data.
"""
kwargs.setdefault("dtype", None)
usemask = kwargs.get('usemask', False)
output = genfromtxt(fname, **kwargs)
if usemask:
from numpy.ma.mrecords import MaskedRecords
output = output.view(MaskedRecords)
else:
output = output.view(np.recarray)
return output
def recfromcsv(fname, **kwargs):
"""
Load ASCII data stored in a comma-separated file.
The returned array is a record array (if ``usemask=False``, see
`recarray`) or a masked record array (if ``usemask=True``,
see `ma.mrecords.MaskedRecords`).
Parameters
----------
fname, kwargs : For a description of input parameters, see `genfromtxt`.
See Also
--------
numpy.genfromtxt : generic function to load ASCII data.
Notes
-----
By default, `dtype` is None, which means that the data-type of the output
array will be determined from the data.
"""
# Set default kwargs for genfromtxt as relevant to csv import.
kwargs.setdefault("case_sensitive", "lower")
kwargs.setdefault("names", True)
kwargs.setdefault("delimiter", ",")
kwargs.setdefault("dtype", None)
output = genfromtxt(fname, **kwargs)
usemask = kwargs.get("usemask", False)
if usemask:
from numpy.ma.mrecords import MaskedRecords
output = output.view(MaskedRecords)
else:
output = output.view(np.recarray)
return output
|
bsd-3-clause
|
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] |
qusp/orange3
|
Orange/widgets/utils/scaling.py
|
1
|
25636
|
from datetime import time
import sys
import random
import numpy as np
import Orange
from Orange.data import Table, ContinuousVariable, DiscreteVariable
from Orange.statistics.basic_stats import DomainBasicStats
from Orange.widgets.settings import Setting
from Orange.widgets.utils.datacaching import getCached, setCached
# noinspection PyBroadException
def checksum(x):
if x is None:
return None
try:
return x.checksum()
except:
return float('nan')
def get_variable_values_sorted(variable):
"""
Return a list of sorted values for given attribute, if all its values can be
cast to int's.
"""
if isinstance(variable, ContinuousVariable):
return []
try:
return sorted(variable.values, key=int)
except ValueError:
return variable.values
def get_variable_value_indices(variable, sort_values=True):
"""
Create a dictionary with given variable. Keys are variable values, values
are indices (transformed from string to int); in case all values are
integers, we also sort them.
"""
if isinstance(variable, ContinuousVariable):
return {}
if sort_values:
values = get_variable_values_sorted(variable)
else:
values = variable.values
return {value: i for i, value in enumerate(values)}
class ScaleData:
jitter_size = Setting(10)
jitter_continuous = Setting(False)
def __init__(self):
self.raw_data = None # input data
self.attribute_names = [] # list of attribute names from self.raw_data
self.attribute_name_index = {} # dict with indices to attributes
self.attribute_flip_info = {} # dictionary with attrName: 0/1 attribute is flipped or not
self.data_has_class = False
self.data_has_continuous_class = False
self.data_has_discrete_class = False
self.data_class_name = None
self.data_domain = None
self.data_class_index = None
self.have_data = False
self.jitter_seed = 0
self.attr_values = {}
self.domain_data_stat = []
self.original_data = None # input (nonscaled) data in a numpy array
self.scaled_data = None # scaled data to the interval 0-1
self.no_jittering_scaled_data = None
self.valid_data_array = None
def rescale_data(self):
"""
Force the existing data to be rescaled due to changes like
jitter_continuous, jitter_size, ...
"""
self.set_data(self.raw_data, skipIfSame=0)
def set_data(self, data, **args):
if args.get("skipIfSame", 1):
if checksum(data) == checksum(self.raw_data):
return
self.domain_data_stat = []
self.attr_values = {}
self.original_data = None
self.scaled_data = None
self.no_jittering_scaled_data = None
self.valid_data_array = None
self.raw_data = None
self.have_data = False
self.data_has_class = False
self.data_has_continuous_class = False
self.data_has_discrete_class = False
self.data_class_name = None
self.data_domain = None
self.data_class_index = None
if data is None:
return
full_data = data
self.raw_data = data
len_data = data and len(data) or 0
self.attribute_names = [attr.name for attr in full_data.domain]
self.attribute_name_index = dict([(full_data.domain[i].name, i)
for i in range(len(full_data.domain))])
self.attribute_flip_info = {}
self.data_domain = full_data.domain
self.data_has_class = bool(full_data.domain.class_var)
self.data_has_continuous_class = \
isinstance(full_data.domain.class_var, ContinuousVariable)
self.data_has_discrete_class = \
isinstance(full_data.domain.class_var, DiscreteVariable)
self.data_class_name = self.data_has_class and full_data.domain.class_var.name
if self.data_has_class:
self.data_class_index = self.attribute_name_index[self.data_class_name]
self.have_data = bool(self.raw_data and len(self.raw_data) > 0)
self.domain_data_stat = getCached(full_data,
DomainBasicStats,
(full_data,))
sort_values_for_discrete_attrs = args.get("sort_values_for_discrete_attrs",
1)
for index in range(len(full_data.domain)):
attr = full_data.domain[index]
if isinstance(attr, DiscreteVariable):
self.attr_values[attr.name] = [0, len(attr.values)]
elif isinstance(attr, ContinuousVariable):
self.attr_values[attr.name] = [self.domain_data_stat[index].min,
self.domain_data_stat[index].max]
if 'no_data' in args:
return
# the original_data, no_jittering_scaled_data and validArray are arrays
# that we can cache so that other visualization widgets don't need to
# compute it. The scaled_data on the other hand has to be computed for
# each widget separately because of different
# jitter_continuous and jitter_size values
if getCached(data, "visualizationData"):
self.original_data, self.no_jittering_scaled_data, self.valid_data_array = getCached(data,
"visualizationData")
else:
no_jittering_data = np.c_[full_data.X, full_data.Y].T
valid_data_array = no_jittering_data != np.NaN
original_data = no_jittering_data.copy()
for index in range(len(data.domain)):
attr = data.domain[index]
if isinstance(attr, DiscreteVariable):
# see if the values for discrete attributes have to be resorted
variable_value_indices = get_variable_value_indices(data.domain[index],
sort_values_for_discrete_attrs)
if 0 in [i == variable_value_indices[attr.values[i]]
for i in range(len(attr.values))]:
# make the array a contiguous, otherwise the putmask
# function does not work
line = no_jittering_data[index].copy()
indices = [np.where(line == val, 1, 0)
for val in range(len(attr.values))]
for i in range(len(attr.values)):
np.putmask(line, indices[i],
variable_value_indices[attr.values[i]])
no_jittering_data[index] = line # save the changed array
original_data[index] = line # reorder also the values in the original data
no_jittering_data[index] = ((no_jittering_data[index] * 2.0 + 1.0)
/ float(2 * len(attr.values)))
elif isinstance(attr, ContinuousVariable):
diff = self.domain_data_stat[index].max - self.domain_data_stat[
index].min or 1 # if all values are the same then prevent division by zero
no_jittering_data[index] = (no_jittering_data[index] -
self.domain_data_stat[index].min) / diff
self.original_data = original_data
self.no_jittering_scaled_data = no_jittering_data
self.valid_data_array = valid_data_array
if data:
setCached(data, "visualizationData",
(self.original_data, self.no_jittering_scaled_data,
self.valid_data_array))
# compute the scaled_data arrays
scaled_data = self.no_jittering_scaled_data
# Random generators for jittering
random = np.random.RandomState(seed=self.jitter_seed)
rand_seeds = random.random_integers(0, 2 ** 30 - 1,
size=len(data.domain))
for index, rseed in zip(list(range(len(data.domain))), rand_seeds):
# Need to use a different seed for each feature
random = np.random.RandomState(seed=rseed)
attr = data.domain[index]
if isinstance(attr, DiscreteVariable):
scaled_data[index] += (self.jitter_size / (50.0 * max(1, len(attr.values)))) * \
(random.rand(len(full_data)) - 0.5)
elif isinstance(attr, ContinuousVariable) and self.jitter_continuous:
scaled_data[index] += self.jitter_size / 50.0 * (0.5 - random.rand(len(full_data)))
scaled_data[index] = np.absolute(scaled_data[index]) # fix values below zero
ind = np.where(scaled_data[index] > 1.0, 1, 0) # fix values above 1
np.putmask(scaled_data[index], ind, 2.0 - np.compress(ind, scaled_data[index]))
self.scaled_data = scaled_data[:, :len_data]
def scale_example_value(self, instance, index):
"""
Scale instance's value at index index to a range between 0 and 1 with
respect to self.raw_data.
"""
if instance[index].isSpecial():
print("Warning: scaling instance with missing value")
return 0.5
if isinstance(instance.domain[index], DiscreteVariable):
d = get_variable_value_indices(instance.domain[index])
return (d[instance[index].value] * 2 + 1) / float(2 * len(d))
elif isinstance(instance.domain[index], ContinuousVariable):
diff = self.domain_data_stat[index].max - self.domain_data_stat[index].min
if diff == 0:
diff = 1 # if all values are the same then prevent division by zero
return (instance[index] - self.domain_data_stat[index].min) / diff
def get_attribute_label(self, attr_name):
if self.attribute_flip_info.get(attr_name, 0) and \
isinstance(self.data_domain[attr_name], ContinuousVariable):
return "-" + attr_name
return attr_name
def flip_attribute(self, attr_name):
if attr_name not in self.attribute_names:
return 0
if isinstance(self.data_domain[attr_name], DiscreteVariable):
return 0
index = self.attribute_name_index[attr_name]
self.attribute_flip_info[attr_name] = 1 - self.attribute_flip_info.get(attr_name, 0)
if isinstance(self.data_domain[attr_name], ContinuousVariable):
self.attr_values[attr_name] = [-self.attr_values[attr_name][1], -self.attr_values[attr_name][0]]
self.scaled_data[index] = 1 - self.scaled_data[index]
self.no_jittering_scaled_data[index] = 1 - self.no_jittering_scaled_data[index]
return 1
def get_min_max_val(self, attr):
if type(attr) == int:
attr = self.attribute_names[attr]
diff = self.attr_values[attr][1] - self.attr_values[attr][0]
return diff or 1.0
def get_valid_list(self, indices, also_class_if_exists=1):
"""
Get array of 0 and 1 of len = len(self.raw_data). If there is a missing
value at any attribute in indices return 0 for that instance.
"""
if self.valid_data_array is None or len(self.valid_data_array) == 0:
return np.array([], np.bool)
inds = indices[:]
if also_class_if_exists and self.data_has_class:
inds.append(self.data_class_index)
selected_array = self.valid_data_array.take(inds, axis=0)
arr = np.add.reduce(selected_array)
return np.equal(arr, len(inds))
def get_valid_indices(self, indices):
"""
Get array with numbers that represent the instance indices that have a
valid data value.
"""
valid_list = self.get_valid_list(indices)
return np.nonzero(valid_list)[0]
def rnd_correction(self, max):
"""
Return a number from -max to max.
"""
return (random.random() - 0.5) * 2 * max
class ScaleScatterPlotData(ScaleData):
def get_original_data(self, indices):
data = self.original_data.take(indices, axis = 0)
for i, ind in enumerate(indices):
[minVal, maxVal] = self.attr_values[self.data_domain[ind].name]
if isinstance(self.data_domain[ind], DiscreteVariable):
data[i] += (self.jitter_size/50.0)*(np.random.random(len(self.raw_data)) - 0.5)
elif isinstance(self.data_domain[ind], ContinuousVariable) and self.jitter_continuous:
data[i] += (self.jitter_size/(50.0*(maxVal-minVal or 1)))*(np.random.random(len(self.raw_data)) - 0.5)
return data
getOriginalData = get_original_data
# @deprecated_keywords({"xAttr": "xattr", "yAttr": "yattr"})
def get_xy_data_positions(self, xattr, yattr, filter_valid=False,
copy=True):
"""
Create x-y projection of attributes in attrlist.
"""
xattr_index = self.attribute_name_index[xattr]
yattr_index = self.attribute_name_index[yattr]
xattr_index = self.attribute_name_index[xattr]
yattr_index = self.attribute_name_index[yattr]
if filter_valid is True:
filter_valid = self.get_valid_list([xattr_index, yattr_index])
if isinstance(filter_valid, np.ndarray):
xdata = self.scaled_data[xattr_index, filter_valid]
ydata = self.scaled_data[yattr_index, filter_valid]
elif copy:
xdata = self.scaled_data[xattr_index].copy()
ydata = self.scaled_data[yattr_index].copy()
else:
xdata = self.scaled_data[xattr_index]
ydata = self.scaled_data[yattr_index]
if isinstance(self.data_domain[xattr_index], DiscreteVariable):
xdata *= len(self.data_domain[xattr_index].values)
xdata -= 0.5
else:
xdata *= self.attr_values[xattr][1] - self.attr_values[xattr][0]
xdata += float(self.attr_values[xattr][0])
if isinstance(self.data_domain[yattr_index], DiscreteVariable):
ydata *= len(self.data_domain[yattr_index].values)
ydata -= 0.5
else:
ydata *= self.attr_values[yattr][1] - self.attr_values[yattr][0]
ydata += float(self.attr_values[yattr][0])
return xdata, ydata
getXYDataPositions = get_xy_data_positions
# @deprecated_keywords({"attrIndices": "attr_indices",
# "settingsDict": "settings_dict"})
def get_projected_point_position(self, attr_indices, values, **settings_dict):
"""
For attributes in attr_indices and values of these attributes in values
compute point positions this function has more sense in radviz and
polyviz methods. settings_dict has to be because radviz and polyviz have
this parameter.
"""
return values
getProjectedPointPosition = get_projected_point_position
# @deprecated_keywords({"attrIndices": "attr_indices",
# "settingsDict": "settings_dict"})
def create_projection_as_example_table(self, attr_indices, **settings_dict):
"""
Create the projection of attribute indices given in attr_indices and
create an example table with it.
"""
if self.data_has_class:
domain = settings_dict.get("domain") or \
Orange.data.Domain([Orange.feature.Continuous(self.data_domain[attr_indices[0]].name),
Orange.feature.Continuous(self.data_domain[attr_indices[1]].name),
Orange.feature.Discrete(self.data_domain.class_var.name,
values = get_variable_values_sorted(self.data_domain.class_var))])
else:
domain = settings_dict.get("domain") or \
Orange.data.Domain([Orange.feature.Continuous(self.data_domain[attr_indices[0]].name),
Orange.feature.Continuous(self.data_domain[attr_indices[1]].name)])
data = self.create_projection_as_numeric_array(attr_indices,
**settings_dict)
if data != None:
return Orange.data.Table(domain, data)
else:
return Orange.data.Table(domain)
createProjectionAsExampleTable = create_projection_as_example_table
# @deprecated_keywords({"attrIndices": "attr_indices",
# "settingsDict": "settings_dict"})
def create_projection_as_example_table_3D(self, attr_indices, **settings_dict):
"""
Create the projection of attribute indices given in attr_indices and
create an example table with it.
"""
if self.data_has_class:
domain = settings_dict.get("domain") or \
Orange.data.Domain([Orange.feature.Continuous(self.data_domain[attr_indices[0]].name),
Orange.feature.Continuous(self.data_domain[attr_indices[1]].name),
Orange.feature.Continuous(self.data_domain[attr_indices[2]].name),
Orange.feature.Discrete(self.data_domain.class_var.name,
values = get_variable_values_sorted(self.data_domain.class_var))])
else:
domain = settings_dict.get("domain") or \
Orange.data.Domain([Orange.feature.Continuous(self.data_domain[attr_indices[0]].name),
Orange.feature.Continuous(self.data_domain[attr_indices[1]].name),
Orange.feature.Continuous(self.data_domain[attr_indices[2]].name)])
data = self.create_projection_as_numeric_array_3D(attr_indices,
**settings_dict)
if data != None:
return Orange.data.Table(domain, data)
else:
return Orange.data.Table(domain)
createProjectionAsExampleTable3D = create_projection_as_example_table_3D
# @deprecated_keywords({"attrIndices": "attr_indices",
# "settingsDict": "settings_dict",
# "validData": "valid_data",
# "classList": "class_list",
# "jutterSize": "jitter_size"})
def create_projection_as_numeric_array(self, attr_indices, **settings_dict):
valid_data = settings_dict.get("valid_data")
class_list = settings_dict.get("class_list")
jitter_size = settings_dict.get("jitter_size", 0.0)
if valid_data == None:
valid_data = self.get_valid_list(attr_indices)
if sum(valid_data) == 0:
return None
if class_list == None and self.data_has_class:
class_list = self.original_data[self.data_class_index]
xarray = self.no_jittering_scaled_data[attr_indices[0]]
yarray = self.no_jittering_scaled_data[attr_indices[1]]
if jitter_size > 0.0:
xarray += (np.random.random(len(xarray))-0.5)*jitter_size
yarray += (np.random.random(len(yarray))-0.5)*jitter_size
if class_list != None:
data = np.compress(valid_data, np.array((xarray, yarray, class_list)), axis = 1)
else:
data = np.compress(valid_data, np.array((xarray, yarray)), axis = 1)
data = np.transpose(data)
return data
createProjectionAsNumericArray = create_projection_as_numeric_array
# @deprecated_keywords({"attrIndices": "attr_indices",
# "settingsDict": "settings_dict",
# "validData": "valid_data",
# "classList": "class_list",
# "jutterSize": "jitter_size"})
def create_projection_as_numeric_array_3D(self, attr_indices, **settings_dict):
valid_data = settings_dict.get("valid_data")
class_list = settings_dict.get("class_list")
jitter_size = settings_dict.get("jitter_size", 0.0)
if valid_data == None:
valid_data = self.get_valid_list(attr_indices)
if sum(valid_data) == 0:
return None
if class_list == None and self.data_has_class:
class_list = self.original_data[self.data_class_index]
xarray = self.no_jittering_scaled_data[attr_indices[0]]
yarray = self.no_jittering_scaled_data[attr_indices[1]]
zarray = self.no_jittering_scaled_data[attr_indices[2]]
if jitter_size > 0.0:
xarray += (np.random.random(len(xarray))-0.5)*jitter_size
yarray += (np.random.random(len(yarray))-0.5)*jitter_size
zarray += (np.random.random(len(zarray))-0.5)*jitter_size
if class_list != None:
data = np.compress(valid_data, np.array((xarray, yarray, zarray, class_list)), axis = 1)
else:
data = np.compress(valid_data, np.array((xarray, yarray, zarray)), axis = 1)
data = np.transpose(data)
return data
createProjectionAsNumericArray3D = create_projection_as_numeric_array_3D
# @deprecated_keywords({"attributeNameOrder": "attribute_name_order",
# "addResultFunct": "add_result_funct"})
def get_optimal_clusters(self, attribute_name_order, add_result_funct):
if not self.data_has_class or self.data_has_continuous_class:
return
jitter_size = 0.001 * self.clusterOptimization.jitterDataBeforeTriangulation
domain = Orange.data.Domain([Orange.feature.Continuous("xVar"),
Orange.feature.Continuous("yVar"),
self.data_domain.class_var])
# init again, in case that the attribute ordering took too much time
self.scatterWidget.progressBarInit()
start_time = time.time()
count = len(attribute_name_order)*(len(attribute_name_order)-1)/2
test_index = 0
for i in range(len(attribute_name_order)):
for j in range(i):
try:
attr1 = self.attribute_name_index[attribute_name_order[j]]
attr2 = self.attribute_name_index[attribute_name_order[i]]
test_index += 1
if self.clusterOptimization.isOptimizationCanceled():
secs = time.time() - start_time
self.clusterOptimization.setStatusBarText("Evaluation stopped (evaluated %d projections in %d min, %d sec)"
% (test_index, secs/60, secs%60))
self.scatterWidget.progressBarFinished()
return
data = self.create_projection_as_example_table([attr1, attr2],
domain = domain,
jitter_size = jitter_size)
graph, valuedict, closuredict, polygon_vertices_dict, enlarged_closure_dict, other_dict = self.clusterOptimization.evaluateClusters(data)
all_value = 0.0
classes_dict = {}
for key in valuedict.keys():
add_result_funct(valuedict[key], closuredict[key],
polygon_vertices_dict[key],
[attribute_name_order[i],
attribute_name_order[j]],
int(graph.objects[polygon_vertices_dict[key][0]].getclass()),
enlarged_closure_dict[key], other_dict[key])
classes_dict[key] = int(graph.objects[polygon_vertices_dict[key][0]].getclass())
all_value += valuedict[key]
add_result_funct(all_value, closuredict, polygon_vertices_dict,
[attribute_name_order[i], attribute_name_order[j]],
classes_dict, enlarged_closure_dict, other_dict) # add all the clusters
self.clusterOptimization.setStatusBarText("Evaluated %d projections..."
% (test_index))
self.scatterWidget.progressBarSet(100.0*test_index/float(count))
del data, graph, valuedict, closuredict, polygon_vertices_dict, enlarged_closure_dict, other_dict, classes_dict
except:
type, val, traceback = sys.exc_info()
sys.excepthook(type, val, traceback) # print the exception
secs = time.time() - start_time
self.clusterOptimization.setStatusBarText("Finished evaluation (evaluated %d projections in %d min, %d sec)" % (test_index, secs/60, secs%60))
self.scatterWidget.progressBarFinished()
getOptimalClusters = get_optimal_clusters
|
bsd-2-clause
|
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Jasoning/namebench
|
nb_third_party/dns/rdtypes/ANY/RP.py
|
248
|
3275
|
# 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.exception
import dns.rdata
import dns.name
class RP(dns.rdata.Rdata):
"""RP record
@ivar mbox: The responsible person's mailbox
@type mbox: dns.name.Name object
@ivar txt: The owner name of a node with TXT records, or the root name
if no TXT records are associated with this RP.
@type txt: dns.name.Name object
@see: RFC 1183"""
__slots__ = ['mbox', 'txt']
def __init__(self, rdclass, rdtype, mbox, txt):
super(RP, self).__init__(rdclass, rdtype)
self.mbox = mbox
self.txt = txt
def to_text(self, origin=None, relativize=True, **kw):
mbox = self.mbox.choose_relativity(origin, relativize)
txt = self.txt.choose_relativity(origin, relativize)
return "%s %s" % (str(mbox), str(txt))
def from_text(cls, rdclass, rdtype, tok, origin = None, relativize = True):
mbox = tok.get_name()
txt = tok.get_name()
mbox = mbox.choose_relativity(origin, relativize)
txt = txt.choose_relativity(origin, relativize)
tok.get_eol()
return cls(rdclass, rdtype, mbox, txt)
from_text = classmethod(from_text)
def to_wire(self, file, compress = None, origin = None):
self.mbox.to_wire(file, None, origin)
self.txt.to_wire(file, None, origin)
def to_digestable(self, origin = None):
return self.mbox.to_digestable(origin) + \
self.txt.to_digestable(origin)
def from_wire(cls, rdclass, rdtype, wire, current, rdlen, origin = None):
(mbox, cused) = dns.name.from_wire(wire[: current + rdlen],
current)
current += cused
rdlen -= cused
if rdlen <= 0:
raise dns.exception.FormError
(txt, cused) = dns.name.from_wire(wire[: current + rdlen],
current)
if cused != rdlen:
raise dns.exception.FormError
if not origin is None:
mbox = mbox.relativize(origin)
txt = txt.relativize(origin)
return cls(rdclass, rdtype, mbox, txt)
from_wire = classmethod(from_wire)
def choose_relativity(self, origin = None, relativize = True):
self.mbox = self.mbox.choose_relativity(origin, relativize)
self.txt = self.txt.choose_relativity(origin, relativize)
def _cmp(self, other):
v = cmp(self.mbox, other.mbox)
if v == 0:
v = cmp(self.txt, other.txt)
return v
|
apache-2.0
|
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] |
openstack/networking-bagpipe-l2
|
networking_bagpipe/db/sfc_db.py
|
3
|
5828
|
# Copyright (c) 2017 Orange.
# 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.
import sqlalchemy as sa
from oslo_config import cfg
from oslo_log import helpers as log_helpers
from oslo_log import log as logging
from neutron_lib import context as n_context
from neutron_lib.db import model_base
LOG = logging.getLogger(__name__)
sfc_bagpipe_opts = [
cfg.IntOpt('as_number', default=64512,
help=_("Autonomous System number used to generate BGP Route "
"Targets that will be used for Port Chain allocations")),
cfg.ListOpt('rtnn',
default=[5000, 5999],
help=_("List containing <rtnn_min>, <rtnn_max> "
"defining a range of BGP Route Targets that will "
"be used for Port Chain allocations. This range MUST "
"not intersect the one used for network segmentation "
"identifiers")),
]
cfg.CONF.register_opts(sfc_bagpipe_opts, "sfc_bagpipe")
class BaGPipePpgRTAssoc(model_base.BASEV2, model_base.HasId):
'''Mapping from Port Pair Group to the NN part of an AS:NN route target'''
__tablename__ = 'sfc_bagpipe_ppg_rtnn_associations'
ppg_id = sa.Column(sa.String(36), primary_key=True)
rtnn = sa.Column(sa.Integer, unique=True, nullable=False)
is_redirect = sa.Column(sa.Boolean(), nullable=False)
reverse = sa.Column(sa.Boolean(), nullable=False)
def singleton(class_):
instances = {}
def getinstance(*args, **kwargs):
if class_ not in instances:
instances[class_] = class_(*args, **kwargs)
return instances[class_]
return getinstance
@singleton
class RTAllocator(object):
def __init__(self):
self.config = cfg.CONF.sfc_bagpipe
self.session = n_context.get_admin_context().session
def _get_rt_from_rtnn(self, rtnn):
return ':'.join([str(self.config.as_number), str(rtnn)])
@log_helpers.log_method_call
def allocate_rt(self, ppg_id, is_redirect=False, reverse=False):
query = self.session.query(
BaGPipePpgRTAssoc).order_by(
BaGPipePpgRTAssoc.rtnn)
allocated_rtnns = {obj.rtnn for obj in query.all()}
# Find first one available in range
start, end = int(self.config.rtnn[0]), int(self.config.rtnn[1]) + 1
for rtnn in range(start, end):
if rtnn not in allocated_rtnns:
with self.session.begin(subtransactions=True):
ppg_rtnn = BaGPipePpgRTAssoc(ppg_id=ppg_id,
rtnn=rtnn,
is_redirect=is_redirect,
reverse=reverse)
self.session.add(ppg_rtnn)
return self._get_rt_from_rtnn(rtnn)
LOG.error("Can't allocate route target, all range in use")
return None
@log_helpers.log_method_call
def get_rts_by_ppg(self, ppg_id):
ppg_rts = self.session.query(
BaGPipePpgRTAssoc).filter_by(ppg_id=ppg_id).all()
if not ppg_rts:
return None
return [ppg_rt.rtnn for ppg_rt in ppg_rts]
@log_helpers.log_method_call
def get_redirect_rt_by_ppg(self, ppg_id, reverse=False):
ppg_redirect_rt = self.session.query(
BaGPipePpgRTAssoc).filter_by(ppg_id=ppg_id,
is_redirect=True,
reverse=reverse).one()
return self._get_rt_from_rtnn(ppg_redirect_rt.rtnn)
@log_helpers.log_method_call
def release_rt(self, rtnn):
with self.session.begin(subtransactions=True):
ppg_rtnn = self.session.query(
BaGPipePpgRTAssoc).filter_by(rtnn=rtnn).first()
if ppg_rtnn:
self.session.delete(ppg_rtnn)
else:
LOG.warning("Can't release route target %s, not used", rtnn)
class BaGPipeChainHop(model_base.BASEV2, model_base.HasId,
model_base.HasProject):
__tablename__ = 'sfc_bagpipe_chain_hops'
ingress_ppg = sa.Column(sa.String(36),
nullable=True)
egress_ppg = sa.Column(sa.String(36),
nullable=True)
ingress_network = sa.Column(sa.String(36),
sa.ForeignKey('networks.id'),
nullable=True)
egress_network = sa.Column(sa.String(36),
sa.ForeignKey('networks.id'),
nullable=True)
rts = sa.Column(sa.String(255))
ingress_gw = sa.Column(sa.String(64))
egress_gw = sa.Column(sa.String(64))
readv_from_rts = sa.Column(sa.String(255))
readv_to_rt = sa.Column(sa.String(255))
attract_to_rt = sa.Column(sa.String(255))
redirect_rts = sa.Column(sa.String(255))
classifiers = sa.Column(sa.String(255))
reverse_hop = sa.Column(sa.Boolean(), nullable=False)
portchain_id = sa.Column(sa.String(36),
nullable=False,
primary_key=True)
class BaGPipeSfcDriverDB(object):
def initialize(self):
self.admin_context = n_context.get_admin_context()
|
apache-2.0
|
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Widiot/simpleblog
|
venv/lib/python3.5/site-packages/flask_admin/babel.py
|
12
|
1945
|
try:
from flask_babelex import Domain
except ImportError:
def gettext(string, **variables):
return string % variables
def ngettext(singular, plural, num, **variables):
variables.setdefault('num', num)
return (singular if num == 1 else plural) % variables
def lazy_gettext(string, **variables):
return gettext(string, **variables)
class Translations(object):
''' dummy Translations class for WTForms, no translation support '''
def gettext(self, string):
return string
def ngettext(self, singular, plural, n):
return singular if n == 1 else plural
else:
from flask_admin import translations
class CustomDomain(Domain):
def __init__(self):
super(CustomDomain, self).__init__(translations.__path__[0], domain='admin')
def get_translations_path(self, ctx):
view = get_current_view()
if view is not None:
dirname = view.admin.translations_path
if dirname is not None:
return dirname
return super(CustomDomain, self).get_translations_path(ctx)
domain = CustomDomain()
gettext = domain.gettext
ngettext = domain.ngettext
lazy_gettext = domain.lazy_gettext
try:
from wtforms.i18n import messages_path
except ImportError:
from wtforms.ext.i18n.utils import messages_path
wtforms_domain = Domain(messages_path(), domain='wtforms')
class Translations(object):
''' Fixes WTForms translation support and uses wtforms translations '''
def gettext(self, string):
t = wtforms_domain.get_translations()
return t.ugettext(string)
def ngettext(self, singular, plural, n):
t = wtforms_domain.get_translations()
return t.ungettext(singular, plural, n)
# lazy imports
from .helpers import get_current_view
|
mit
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xxshutong/openerp-7.0
|
openerp/addons/base/module/wizard/base_module_configuration.py
|
447
|
2274
|
# -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>).
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
##############################################################################
from openerp.osv import osv
from openerp.tools.translate import _
class base_module_configuration(osv.osv_memory):
_name = "base.module.configuration"
def start(self, cr, uid, ids, context=None):
todo_ids = self.pool.get('ir.actions.todo').search(cr, uid,
['|', ('type','=','recurring'), ('state', '=', 'open')])
if not todo_ids:
# When there is no wizard todo it will display message
data_obj = self.pool.get('ir.model.data')
result = data_obj._get_id(cr, uid, 'base', 'view_base_module_configuration_form')
view_id = data_obj.browse(cr, uid, result).res_id
value = {
'name': _('System Configuration done'),
'view_type': 'form',
'view_mode': 'form',
'res_model': 'base.module.configuration',
'view_id': [view_id],
'type': 'ir.actions.act_window',
'target': 'new'
}
return value
# Run the config wizards
config_pool = self.pool.get('res.config')
return config_pool.start(cr, uid, ids, context=context)
base_module_configuration()
# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
|
agpl-3.0
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mythsmith/veusz
|
veusz/dialogs/preferences.py
|
4
|
9670
|
# Copyright (C) 2006 Jeremy S. Sanders
# Email: Jeremy Sanders <jeremy@jeremysanders.net>
#
# 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.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
##############################################################################
from __future__ import division
from .. import qtall as qt4
from .. import setting
from .. import utils
from .veuszdialog import VeuszDialog
def _(text, disambiguation=None, context="PrefsDialog"):
"""Translate text."""
return qt4.QCoreApplication.translate(context, text, disambiguation)
# names for display of colors and a longer description
color_names = {
'page': (_('Page'),
_('Page background color')),
'error': (_('Error'),
_('Color for errors')),
'command': (_('Console command'),
_('Commands in the console window color')),
'cntrlline': (_('Control line'),
_('Color of lines controlling widgets')),
'cntrlcorner': (_('Control corner'),
_('Color of corners controlling widgets')),
}
class PreferencesDialog(VeuszDialog):
"""Preferences dialog."""
def __init__(self, mainwindow):
"""Setup dialog."""
VeuszDialog.__init__(self, mainwindow, 'preferences.ui', modal=True)
self.plotwindow = mainwindow.plot
# for ease of use
setdb = setting.settingdb
# view settings
self.antialiasCheck.setChecked( setdb['plot_antialias'] )
self.englishCheck.setChecked( setdb['ui_english'] )
for intv in self.plotwindow.updateintervals:
self.intervalCombo.addItem(intv[1])
index = [i[0] for i in self.plotwindow.updateintervals].index(
setdb['plot_updatepolicy'])
self.intervalCombo.setCurrentIndex(index)
self.threadSpinBox.setValue( setdb['plot_numthreads'] )
# disable thread option if not supported
if not qt4.QFontDatabase.supportsThreadedFontRendering():
self.threadSpinBox.setEnabled(False)
self.threadSpinBox.setToolTip(_("Disabled because of lack of "
"threaded drawing support"))
# use cwd for file dialogs
(self.dirDocCWDRadio if setdb['dirname_usecwd'] else self.dirDocPrevRadio).click()
# exporting documents
{
'doc': self.dirExportDocRadio,
'cwd': self.dirExportCWDRadio,
'prev': self.dirExportPrevRadio,
}[setdb.get('dirname_export_location')].click()
# set icon size
self.iconSizeCombo.setCurrentIndex(
self.iconSizeCombo.findText(
str(setdb['toolbar_size'])))
# default stylesheet
self.styleLineEdit.setText(setdb['stylesheet_default'])
self.styleBrowseButton.clicked.connect(self.styleBrowseClicked)
# default custom settings
self.customLineEdit.setText(setdb['custom_default'])
self.customBrowseButton.clicked.connect(self.customBrowseClicked)
# for plugins
plugins = list( setdb.get('plugins', []) )
self.pluginmodel = qt4.QStringListModel(plugins)
self.pluginList.setModel(self.pluginmodel)
self.pluginAddButton.clicked.connect(self.pluginAddClicked)
self.pluginRemoveButton.clicked.connect(self.pluginRemoveClicked)
# specifics for color tab
self.setupColorTab()
# for point picker
self.pickerToConsoleCheck.setChecked( setdb['picker_to_console'] )
self.pickerToClipboardCheck.setChecked( setdb['picker_to_clipboard'] )
# python path
self.externalPythonPath.setText(setdb['external_pythonpath'])
def setupColorTab(self):
"""Initialise color tab
this makes a grid of controls for each color
consisting of label, isdefault check and change color button."""
self.chosencolors = {}
self.colorbutton = {}
self.colordefaultcheck = {}
layout = qt4.QGridLayout()
setdb = setting.settingdb
for row, colname in enumerate(setdb.colors):
isdefault, colval = setting.settingdb['color_%s' % colname]
self.chosencolors[colname] = qt4.QColor(colval)
# label
name, tooltip = color_names[colname]
label = qt4.QLabel(name)
label.setToolTip(tooltip)
layout.addWidget(label, row, 0)
# is default check
defcheck = qt4.QCheckBox(_("Default"))
defcheck.setToolTip(
_("Use the default color instead of the one chosen here"))
layout.addWidget(defcheck, row, 1)
self.colordefaultcheck[colname] = defcheck
defcheck.setChecked(isdefault)
# connect button to method to change color
button = self.colorbutton[colname] = qt4.QPushButton()
def getcolclick(cname):
# double function to get around colname changing
return lambda: self.colorButtonClicked(cname)
button.clicked.connect(getcolclick(colname))
layout.addWidget(button, row, 2)
self.colorGroup.setLayout(layout)
self.updateButtonColors()
def colorButtonClicked(self, cname):
"""Open color dialog if color button clicked."""
retcolor = qt4.QColorDialog.getColor( self.chosencolors[cname], self )
if retcolor.isValid():
self.chosencolors[cname] = retcolor
self.updateButtonColors()
def updateButtonColors(self):
"""Update color icons on color buttons."""
for name, val in self.chosencolors.items():
pixmap = qt4.QPixmap(16, 16)
pixmap.fill(val)
self.colorbutton[name].setIcon( qt4.QIcon(pixmap) )
def accept(self):
"""Keep settings if okay pressed."""
qt4.QDialog.accept(self)
# view settings
setdb = setting.settingdb
setdb['plot_updatepolicy'] = (
self.plotwindow.updateintervals[self.intervalCombo.currentIndex()][0] )
setdb['plot_antialias'] = self.antialiasCheck.isChecked()
setdb['ui_english'] = self.englishCheck.isChecked()
setdb['plot_numthreads'] = self.threadSpinBox.value()
# use cwd
setdb['dirname_usecwd'] = self.dirDocCWDRadio.isChecked()
for radio, val in (
(self.dirExportDocRadio, 'doc'),
(self.dirExportCWDRadio, 'cwd'),
(self.dirExportPrevRadio, 'prev'),
):
if radio.isChecked():
setdb['dirname_export_location'] = val
# update icon size if necessary
iconsize = int( self.iconSizeCombo.currentText() )
if iconsize != setdb['toolbar_size']:
setdb['toolbar_size'] = iconsize
for widget in self.parent().children(): # find toolbars
if isinstance(widget, qt4.QToolBar):
widget.setIconSize( qt4.QSize(iconsize, iconsize) )
# new document settings
setdb['stylesheet_default'] = self.styleLineEdit.text()
setdb['custom_default'] = self.customLineEdit.text()
# colors
for name, color in self.chosencolors.items():
isdefault = self.colordefaultcheck[name].isChecked()
colorname = color.name()
setdb['color_' + name] = (isdefault, colorname)
# plugins
plugins = self.pluginmodel.stringList()
setdb['plugins'] = plugins
# picker
setdb['picker_to_clipboard'] = self.pickerToClipboardCheck.isChecked()
setdb['picker_to_console'] = self.pickerToConsoleCheck.isChecked()
# python path
setdb['external_pythonpath'] = self.externalPythonPath.text()
self.plotwindow.updatePlotSettings()
# write settings out now, rather than wait until the end
setdb.writeSettings()
def styleBrowseClicked(self):
"""Browse for a stylesheet."""
filename = self.parent().fileOpenDialog(
[_('Veusz stylesheet (*.vst)')], _('Choose stylesheet'))
if filename:
self.styleLineEdit.setText(filename)
def customBrowseClicked(self):
"""Browse for a custom definitons."""
filename = self.parent().fileOpenDialog(
[_('Veusz document (*.vsz)')], _('Choose custom definitons'))
if filename:
self.customLineEdit.setText(filename)
def pluginAddClicked(self):
"""Add a new plugin."""
filename = self.parent().fileOpenDialog(
[_('Python scripts (*.py)')], _('Choose plugin'))
if filename:
self.pluginmodel.insertRows(0, 1)
self.pluginmodel.setData( self.pluginmodel.index(0),
filename )
def pluginRemoveClicked(self):
"""Remove selected plugin."""
sel = self.pluginList.selectionModel().currentIndex()
if sel.isValid():
self.pluginmodel.removeRow( sel.row() )
|
gpl-2.0
|
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dcroc16/skunk_works
|
google_appengine/lib/django-1.3/django/template/loader.py
|
149
|
8326
|
# Wrapper for loading templates from storage of some sort (e.g. filesystem, database).
#
# This uses the TEMPLATE_LOADERS setting, which is a list of loaders to use.
# Each loader is expected to have this interface:
#
# callable(name, dirs=[])
#
# name is the template name.
# dirs is an optional list of directories to search instead of TEMPLATE_DIRS.
#
# The loader should return a tuple of (template_source, path). The path returned
# might be shown to the user for debugging purposes, so it should identify where
# the template was loaded from.
#
# A loader may return an already-compiled template instead of the actual
# template source. In that case the path returned should be None, since the
# path information is associated with the template during the compilation,
# which has already been done.
#
# Each loader should have an "is_usable" attribute set. This is a boolean that
# specifies whether the loader can be used in this Python installation. Each
# loader is responsible for setting this when it's initialized.
#
# For example, the eggs loader (which is capable of loading templates from
# Python eggs) sets is_usable to False if the "pkg_resources" module isn't
# installed, because pkg_resources is necessary to read eggs.
from django.core.exceptions import ImproperlyConfigured
from django.template.base import Origin, Template, Context, TemplateDoesNotExist, add_to_builtins
from django.utils.importlib import import_module
from django.conf import settings
template_source_loaders = None
class BaseLoader(object):
is_usable = False
def __init__(self, *args, **kwargs):
pass
def __call__(self, template_name, template_dirs=None):
return self.load_template(template_name, template_dirs)
def load_template(self, template_name, template_dirs=None):
source, display_name = self.load_template_source(template_name, template_dirs)
origin = make_origin(display_name, self.load_template_source, template_name, template_dirs)
try:
template = get_template_from_string(source, origin, template_name)
return template, None
except TemplateDoesNotExist:
# If compiling the template we found raises TemplateDoesNotExist, back off to
# returning the source and display name for the template we were asked to load.
# This allows for correct identification (later) of the actual template that does
# not exist.
return source, display_name
def load_template_source(self, template_name, template_dirs=None):
"""
Returns a tuple containing the source and origin for the given template
name.
"""
raise NotImplementedError
def reset(self):
"""
Resets any state maintained by the loader instance (e.g., cached
templates or cached loader modules).
"""
pass
class LoaderOrigin(Origin):
def __init__(self, display_name, loader, name, dirs):
super(LoaderOrigin, self).__init__(display_name)
self.loader, self.loadname, self.dirs = loader, name, dirs
def reload(self):
return self.loader(self.loadname, self.dirs)[0]
def make_origin(display_name, loader, name, dirs):
if settings.TEMPLATE_DEBUG and display_name:
return LoaderOrigin(display_name, loader, name, dirs)
else:
return None
def find_template_loader(loader):
if isinstance(loader, (tuple, list)):
loader, args = loader[0], loader[1:]
else:
args = []
if isinstance(loader, basestring):
module, attr = loader.rsplit('.', 1)
try:
mod = import_module(module)
except ImportError, e:
raise ImproperlyConfigured('Error importing template source loader %s: "%s"' % (loader, e))
try:
TemplateLoader = getattr(mod, attr)
except AttributeError, e:
raise ImproperlyConfigured('Error importing template source loader %s: "%s"' % (loader, e))
if hasattr(TemplateLoader, 'load_template_source'):
func = TemplateLoader(*args)
else:
# Try loading module the old way - string is full path to callable
if args:
raise ImproperlyConfigured("Error importing template source loader %s - can't pass arguments to function-based loader." % loader)
func = TemplateLoader
if not func.is_usable:
import warnings
warnings.warn("Your TEMPLATE_LOADERS setting includes %r, but your Python installation doesn't support that type of template loading. Consider removing that line from TEMPLATE_LOADERS." % loader)
return None
else:
return func
else:
raise ImproperlyConfigured('Loader does not define a "load_template" callable template source loader')
def find_template(name, dirs=None):
# Calculate template_source_loaders the first time the function is executed
# because putting this logic in the module-level namespace may cause
# circular import errors. See Django ticket #1292.
global template_source_loaders
if template_source_loaders is None:
loaders = []
for loader_name in settings.TEMPLATE_LOADERS:
loader = find_template_loader(loader_name)
if loader is not None:
loaders.append(loader)
template_source_loaders = tuple(loaders)
for loader in template_source_loaders:
try:
source, display_name = loader(name, dirs)
return (source, make_origin(display_name, loader, name, dirs))
except TemplateDoesNotExist:
pass
raise TemplateDoesNotExist(name)
def find_template_source(name, dirs=None):
# For backward compatibility
import warnings
warnings.warn(
"`django.template.loader.find_template_source` is deprecated; use `django.template.loader.find_template` instead.",
DeprecationWarning
)
template, origin = find_template(name, dirs)
if hasattr(template, 'render'):
raise Exception("Found a compiled template that is incompatible with the deprecated `django.template.loader.find_template_source` function.")
return template, origin
def get_template(template_name):
"""
Returns a compiled Template object for the given template name,
handling template inheritance recursively.
"""
template, origin = find_template(template_name)
if not hasattr(template, 'render'):
# template needs to be compiled
template = get_template_from_string(template, origin, template_name)
return template
def get_template_from_string(source, origin=None, name=None):
"""
Returns a compiled Template object for the given template code,
handling template inheritance recursively.
"""
return Template(source, origin, name)
def render_to_string(template_name, dictionary=None, context_instance=None):
"""
Loads the given template_name and renders it with the given dictionary as
context. The template_name may be a string to load a single template using
get_template, or it may be a tuple to use select_template to find one of
the templates in the list. Returns a string.
"""
dictionary = dictionary or {}
if isinstance(template_name, (list, tuple)):
t = select_template(template_name)
else:
t = get_template(template_name)
if not context_instance:
return t.render(Context(dictionary))
# Add the dictionary to the context stack, ensuring it gets removed again
# to keep the context_instance in the same state it started in.
context_instance.update(dictionary)
try:
return t.render(context_instance)
finally:
context_instance.pop()
def select_template(template_name_list):
"Given a list of template names, returns the first that can be loaded."
not_found = []
for template_name in template_name_list:
try:
return get_template(template_name)
except TemplateDoesNotExist, e:
if e.args[0] not in not_found:
not_found.append(e.args[0])
continue
# If we get here, none of the templates could be loaded
raise TemplateDoesNotExist(', '.join(not_found))
add_to_builtins('django.template.loader_tags')
|
mit
|
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yuanyelele/solfege
|
tools/mk-classhier-graph.py
|
2
|
4488
|
#!/usr/bin/python
import re
import sys
import os
import textwrap
if len(sys.argv) == 1 or sys.argv[1] == '-h':
print "\nUsage:"
print "\t./tools/classhier.py file1.py file2.py ...\n"
print "\n\t".join(textwrap.wrap("\tGenerate a nice graph of the class hierarchy in the files supplied as arguments."))
print
sys.exit(0)
class ClassInfo(object):
def __init__(self, module, name):
self.module = module
self.name = name
class ClassDb(object):
def __init__(self):
self.db = {}
def add_classdef(self, mod, name):
"""
mod - the module the class is defined in
name - the name of the class
"""
if mod not in self.db:
self.db[mod] = {}
self.db[mod][name] = []
def add_class_parent(self, mod, name, parent):
"""
mod - the module the class is defined in
name - the name of the class
parent - a (mod, name) tuple of one parent
"""
self.db[mod][name].append(parent)
def has_class(self, mod, name):
return mod in self.db and name in self.db[mod]
def write(self, filename, filetype):
def fmt(mod, cls):
return cls
return r'"%s %s"' % (mod.replace(".", "_"), cls)
f = open(filename, 'w')
if filetype == 'fdp':
joinstr = " -- "
print >> f, "graph G {"
print >> f, "overlap=false;"
print >> f, "splines=true;"
elif filetype == 'dot':
print >> f, "digraph G {"
#print >> f, 'size = "8,10";'
print >> f, 'ratio = fill;'
print >> f, 'margin = 1;'
print >> f, 'center = 1;'
print >> f, 'bgcolor=white;'
print >> f, 'edge [color=blue,arrowhead=normal,arrowsize=1.5];'
print >> f, "rankdir=LR;"
joinstr = " -> "
for mod in self.db:
for cl in self.db[mod]:
this_mod = mod.replace(".", "_")
#print >> f, fmt(mod, cl)
for parent in self.db[mod][cl]:
p = r'"%s\n%s"' % (this_mod, parent)
print >> f, r'%s%s%s;' % (fmt(mod, cl), joinstr, fmt(*parent))
print >> f, "}"
f.close()
class_re = re.compile("""
(?P<all>class\s*
(?P<classname>[a-zA-Z]\w*)
(\(
(?P<parentlist>
(.*?) # The first parent
(,(.*?))* # unknown number of more parents
)\))?:)""", re.VERBOSE)#(\(*?\))")
db = ClassDb()
def mod_split(modulename):
"""
Split the complete modulename into (package, modulename) tuple
"""
v = modulename.split(".")
return ".".join(modulename.split(".")[:-1]), v[-1]
def mod_to_filename(mod):
" solfege.abstract => solfege/abstract.py"
return mod.replace(".", "/") + ".py"
def do_file(fn):
modulename = fn[:-3].replace("/", ".")
package = mod_split(modulename)[0]
s = open(fn).read()
for m in class_re.finditer(s):
if m:
parents = m.group('parentlist')
if parents:
parents = [p.strip() for p in parents.split(",")]
else:
parents = []
db.add_classdef(modulename, m.group('classname'))
for p in parents:
# Continue if this is not a module in this project.
if p in ('unicode', 'list', 'dict', 'object'):
continue
if p.startswith("Gtk."):
continue
mname = os.path.join(mod_split(modulename)[0], mod_split(p)[0])+".py"
if mod_split(p)[0] and not os.path.exists(mname):
print "DROPPING", p
continue
if "." in p:
mm = ".".join((package, mod_split(p)[0]))
nn = mod_split(p)[1]
db.add_class_parent(modulename, m.group('classname'),
(mm, nn))
else:
db.add_class_parent(modulename, m.group('classname'),
(modulename, p))
for fn in sys.argv[1:]:
do_file(fn)
for mod, d in db.db.items():
for deps in d.values():
for dep in deps:
if dep[0] not in db.db.keys():
do_file(mod_to_filename(dep[0]))
db.write("classhier.dot", 'dot')
os.system("dot -T png -o classhier.png classhier.dot")
print "created classhier.png"
#os.system("fdp -T png -o classhier.png classhier.dot")
|
gpl-3.0
|
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] |
rfdrake/netbox
|
netbox/extras/management/commands/run_inventory.py
|
1
|
5738
|
from getpass import getpass
from ncclient.transport.errors import AuthenticationError
from paramiko import AuthenticationException
from django.conf import settings
from django.core.management.base import BaseCommand, CommandError
from django.db import transaction
from dcim.models import Device, Module, Site
class Command(BaseCommand):
help = "Update inventory information for specified devices"
username = settings.NETBOX_USERNAME
password = settings.NETBOX_PASSWORD
def add_arguments(self, parser):
parser.add_argument('-u', '--username', dest='username', help="Specify the username to use")
parser.add_argument('-p', '--password', action='store_true', default=False, help="Prompt for password to use")
parser.add_argument('-s', '--site', dest='site', action='append',
help="Filter devices by site (include argument once per site)")
parser.add_argument('-n', '--name', dest='name', help="Filter devices by name (regular expression)")
parser.add_argument('--full', action='store_true', default=False, help="For inventory update for all devices")
parser.add_argument('--fake', action='store_true', default=False, help="Do not actually update database")
def handle(self, *args, **options):
def create_modules(modules, parent=None):
for module in modules:
m = Module(device=device, parent=parent, name=module['name'], part_id=module['part_id'],
serial=module['serial'], discovered=True)
m.save()
create_modules(module.get('modules', []), parent=m)
# Credentials
if options['username']:
self.username = options['username']
if options['password']:
self.password = getpass("Password: ")
# Attempt to inventory only active devices
device_list = Device.objects.filter(status=True)
# --site: Include only devices belonging to specified site(s)
if options['site']:
sites = Site.objects.filter(slug__in=options['site'])
if sites:
site_names = [s.name for s in sites]
self.stdout.write("Running inventory for these sites: {}".format(', '.join(site_names)))
else:
raise CommandError("One or more sites specified but none found.")
device_list = device_list.filter(rack__site__in=sites)
# --name: Filter devices by name matching a regex
if options['name']:
device_list = device_list.filter(name__iregex=options['name'])
# --full: Gather inventory data for *all* devices
if options['full']:
self.stdout.write("WARNING: Running inventory for all devices! Prior data will be overwritten. (--full)")
# --fake: Gathering data but not updating the database
if options['fake']:
self.stdout.write("WARNING: Inventory data will not be saved! (--fake)")
device_count = device_list.count()
self.stdout.write("** Found {} devices...".format(device_count))
for i, device in enumerate(device_list, start=1):
self.stdout.write("[{}/{}] {}: ".format(i, device_count, device.name), ending='')
# Skip inactive devices
if not device.status:
self.stdout.write("Skipped (inactive)")
continue
# Skip devices without primary_ip set
if not device.primary_ip:
self.stdout.write("Skipped (no primary IP set)")
continue
# Skip devices which have already been inventoried if not doing a full update
if device.serial and not options['full']:
self.stdout.write("Skipped (Serial: {})".format(device.serial))
continue
RPC = device.get_rpc_client()
if not RPC:
self.stdout.write("Skipped (no RPC client available for platform {})".format(device.platform))
continue
# Connect to device and retrieve inventory info
try:
with RPC(device, self.username, self.password) as rpc_client:
inventory = rpc_client.get_inventory()
except KeyboardInterrupt:
raise
except (AuthenticationError, AuthenticationException):
self.stdout.write("Authentication error!")
continue
except Exception as e:
self.stdout.write("Error: {}".format(e))
continue
if options['verbosity'] > 1:
self.stdout.write("")
self.stdout.write("\tSerial: {}".format(inventory['chassis']['serial']))
self.stdout.write("\tDescription: {}".format(inventory['chassis']['description']))
for module in inventory['modules']:
self.stdout.write("\tModule: {} / {} ({})".format(module['name'], module['part_id'],
module['serial']))
else:
self.stdout.write("{} ({})".format(inventory['chassis']['description'], inventory['chassis']['serial']))
if not options['fake']:
with transaction.atomic():
# Update device serial
if device.serial != inventory['chassis']['serial']:
device.serial = inventory['chassis']['serial']
device.save()
Module.objects.filter(device=device, discovered=True).delete()
create_modules(inventory.get('modules', []))
self.stdout.write("Finished!")
|
apache-2.0
|
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shupelneker/gae_new_structure
|
boilerplate/_lib/utils.py
|
25
|
7368
|
# *-* coding: UTF-8 *-*
# standard library imports
import os
import re
import random
import hashlib
import logging
import string
import unicodedata
from datetime import datetime, timedelta
import Cookie
import webapp2
def random_string(size=6, chars=string.ascii_letters + string.digits):
""" Generate random string """
return ''.join(random.choice(chars) for _ in range(size))
def hashing(plaintext, salt="", sha="512"):
""" Returns the hashed and encrypted hexdigest of a plaintext and salt"""
app = webapp2.get_app()
# Hashing
if sha == "1":
phrase = hashlib.sha1()
elif sha == "256":
phrase = hashlib.sha256()
else:
phrase = hashlib.sha512()
phrase.update("%s@%s" % (plaintext, salt))
phrase_digest = phrase.hexdigest()
# Encryption (PyCrypto)
# wow... it's so secure :)
try:
from Crypto.Cipher import AES
mode = AES.MODE_CBC
# We can not generate random initialization vector because is difficult to retrieve them later without knowing
# a priori the hash to match. We take 16 bytes from the hexdigest to make the vectors different for each hashed
# plaintext.
iv = phrase_digest[:16]
encryptor = AES.new(app.config.get('aes_key'), mode, iv)
ciphertext = [encryptor.encrypt(chunk) for chunk in chunks(phrase_digest, 16)]
return ''.join(ciphertext)
except Exception, e:
logging.error("CRYPTO is not running: {}".format(e))
raise
def chunks(list, size):
""" Yield successive sized chunks from list. """
for i in xrange(0, len(list), size):
yield list[i:i + size]
def encode(plainText):
num = 0
key = "0123456789abcdefghijklmnopqrstuvwxyz"
key += "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
for c in plainText: num = (num << 8) + ord(c)
encodedMsg = ""
while num > 0:
encodedMsg = key[num % len(key)] + encodedMsg
num /= len(key)
return encodedMsg
def decode(encodedMsg):
num = 0
key = "0123456789abcdefghijklmnopqrstuvwxyz"
key += "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
for c in encodedMsg: num = num * len(key) + key.index(c)
text = ""
while num > 0:
text = chr(num % 256) + text
num /= 256
return text
def write_cookie(cls, COOKIE_NAME, COOKIE_VALUE, path, expires=7200):
"""
Write a cookie
@path = could be a cls.request.path to set a specific path
@expires = seconds (integer) to expire the cookie, by default 2 hours ()
expires = 7200 # 2 hours
expires = 1209600 # 2 weeks
expires = 2629743 # 1 month
"""
# days, seconds, then other fields.
time_expire = datetime.now() + timedelta(seconds=expires)
time_expire = time_expire.strftime("%a, %d-%b-%Y %H:%M:%S GMT")
cls.response.headers.add_header(
'Set-Cookie',
COOKIE_NAME + '=' + COOKIE_VALUE + '; expires=' + str(time_expire) + '; path=' + path + '; HttpOnly')
return
def read_cookie(cls, name):
""" Use: cook.read(cls, COOKIE_NAME) """
string_cookie = os.environ.get('HTTP_COOKIE', '')
cls.cookie = Cookie.SimpleCookie()
cls.cookie.load(string_cookie)
value = None
if cls.cookie.get(name):
value = cls.cookie[name].value
return value
def get_date_time(format="%Y-%m-%d %H:%M:%S", UTC_OFFSET=3):
"""
Get date and time in UTC with a specific format
By default it UTC = -3 (Chilean Time)
"""
local_datetime = datetime.now()
now = local_datetime - timedelta(hours=UTC_OFFSET)
if format != "datetimeProperty":
now = now.strftime(format)
# now = datetime.fromtimestamp(1321925140.78)
return now
EMAIL_REGEXP = "^.+\\@(\\[?)[a-zA-Z0-9\\-\\.]+\\.([a-zA-Z]{2,4}|[0-9]{1,3})(\\]?)$"
ALPHANUMERIC_REGEXP = "^\w+$"
VALID_USERNAME_REGEXP = "^(\w+([\-\.])?\w*)$"
NAME_LASTNAME_REGEXP = "^[a-zA-ZàáâäãåąćęèéêëìíîïłńòóôöõøùúûüÿýżźñçčšžÀÁÂÄÃÅĄĆĘÈÉÊËÌÍÎÏŁŃÒÓÔÖÕØÙÚÛÜŸÝŻŹÑßÇŒÆČŠŽ∂ð ,.'-]*$"
def is_email_valid(email):
if len(email) > 7:
if re.match(EMAIL_REGEXP, email) != None:
return 1
return 0
def is_alphanumeric(field):
if re.match(ALPHANUMERIC_REGEXP, field) is not None:
return 1
return 0
def get_device(cls):
# TODO: Remove this function
uastring = cls.request.user_agent or 'unknown'
is_mobile = (("Mobile" in uastring and "Safari" in uastring) or \
("Windows Phone OS" in uastring and "IEMobile" in uastring) or \
("Blackberry") in uastring)
if "MSIE" in uastring:
browser = "Explorer"
elif "Firefox" in uastring:
browser = "Firefox"
elif "Presto" in uastring:
browser = "Opera"
elif "Android" in uastring and "AppleWebKit" in uastring:
browser = "Chrome for Android"
elif "iPhone" in uastring and "AppleWebKit" in uastring:
browser = "Safari for iPhone"
elif "iPod" in uastring and "AppleWebKit" in uastring:
browser = "Safari for iPod"
elif "iPad" in uastring and "AppleWebKit" in uastring:
browser = "Safari for iPad"
elif "Chrome" in uastring:
browser = "Chrome"
elif "AppleWebKit" in uastring:
browser = "Safari"
else:
browser = "unknown"
device = {
"is_mobile": is_mobile,
"browser": browser,
"uastring": uastring
}
return device
def set_device_cookie_and_return_bool(cls, force=""):
"""
set a cookie for device (dvc) returning a dict and set cookie
Cookie value has to be "mobile" or "desktop" string
"""
if force != "":
# force cookie to param
device_cookie = force
elif cls.request.get("device") == "":
# ask for cookie of device
device_cookie = str(read_cookie(cls, "dvc"))
if not device_cookie or device_cookie == "None" or device_cookie == "":
# If cookie has an error, check which device is been used
if get_device(cls)["is_mobile"]:
device_cookie = "mobile"
else:
device_cookie = "desktop"
else:
# set cookie to param 'is_mobile' value directly
device_cookie = cls.request.get("device")
# Set Cookie for Two weeks with 'device_cookie' value
write_cookie(cls, "dvc", str(device_cookie), "/", 1209600)
return device_cookie == "mobile"
def slugify(value):
"""
Normalizes string, converts to lowercase, removes non-ascii characters,
and converts spaces to hyphens. For use in urls and filenames
From Django's "django/template/defaultfilters.py".
"""
_slugify_strip_re = re.compile(r'[^\w\s-]')
_slugify_hyphenate_re = re.compile(r'[-\s]+')
if not isinstance(value, unicode):
value = unicode(value)
value = unicodedata.normalize('NFKD', value).encode('ascii', 'ignore')
value = unicode(_slugify_strip_re.sub('', value).strip().lower())
return _slugify_hyphenate_re.sub('-', value)
def parse_if_int(s):
"""Try to parse a string to an int.
Return the int on success or string on failure.
Useful for parsing entity ids from urls when
entity ids could be manually assigned strings or
automatically assigned numbers.
"""
try:
return int(s)
except ValueError:
return s
|
lgpl-3.0
|
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etzhou/edx-platform
|
common/lib/capa/capa/tests/test_input_templates.py
|
13
|
38980
|
"""
Tests for the logic in input type mako templates.
"""
import unittest
import capa
import os.path
import json
from lxml import etree
from mako.template import Template as MakoTemplate
from mako import exceptions
from capa.inputtypes import Status
class TemplateError(Exception):
"""
Error occurred while rendering a Mako template.
"""
pass
class TemplateTestCase(unittest.TestCase):
"""
Utilitites for testing templates.
"""
# Subclasses override this to specify the file name of the template
# to be loaded from capa/templates.
# The template name should include the .html extension:
# for example: choicegroup.html
TEMPLATE_NAME = None
def setUp(self):
"""
Load the template under test.
"""
super(TemplateTestCase, self).setUp()
capa_path = capa.__path__[0]
self.template_path = os.path.join(capa_path,
'templates',
self.TEMPLATE_NAME)
with open(self.template_path) as f:
self.template = MakoTemplate(f.read())
def render_to_xml(self, context_dict):
"""
Render the template using the `context_dict` dict.
Returns an `etree` XML element.
"""
# add dummy STATIC_URL to template context
context_dict.setdefault("STATIC_URL", "/dummy-static/")
try:
xml_str = self.template.render_unicode(**context_dict)
except:
raise TemplateError(exceptions.text_error_template().render())
# Attempt to construct an XML tree from the template
# This makes it easy to use XPath to make assertions, rather
# than dealing with a string.
# We modify the string slightly by wrapping it in <test>
# tags, to ensure it has one root element.
try:
xml = etree.fromstring("<test>" + xml_str + "</test>")
except Exception as exc:
raise TemplateError("Could not parse XML from '{0}': {1}".format(
xml_str, str(exc)))
else:
return xml
def assert_has_xpath(self, xml_root, xpath, context_dict, exact_num=1):
"""
Asserts that the xml tree has an element satisfying `xpath`.
`xml_root` is an etree XML element
`xpath` is an XPath string, such as `'/foo/bar'`
`context` is used to print a debugging message
`exact_num` is the exact number of matches to expect.
"""
message = ("XML does not have %d match(es) for xpath '%s'\nXML: %s\nContext: %s"
% (exact_num, str(xpath), etree.tostring(xml_root), str(context_dict)))
self.assertEqual(len(xml_root.xpath(xpath)), exact_num, msg=message)
def assert_no_xpath(self, xml_root, xpath, context_dict):
"""
Asserts that the xml tree does NOT have an element
satisfying `xpath`.
`xml_root` is an etree XML element
`xpath` is an XPath string, such as `'/foo/bar'`
`context` is used to print a debugging message
"""
self.assert_has_xpath(xml_root, xpath, context_dict, exact_num=0)
def assert_has_text(self, xml_root, xpath, text, exact=True):
"""
Find the element at `xpath` in `xml_root` and assert
that its text is `text`.
`xml_root` is an etree XML element
`xpath` is an XPath string, such as `'/foo/bar'`
`text` is the expected text that the element should contain
If multiple elements are found, checks the first one.
If no elements are found, the assertion fails.
"""
element_list = xml_root.xpath(xpath)
self.assertTrue(len(element_list) > 0,
"Could not find element at '%s'" % str(xpath))
if exact:
self.assertEqual(text, element_list[0].text)
else:
self.assertIn(text, element_list[0].text)
class ChoiceGroupTemplateTest(TemplateTestCase):
"""
Test mako template for `<choicegroup>` input.
"""
TEMPLATE_NAME = 'choicegroup.html'
def setUp(self):
choices = [('1', 'choice 1'), ('2', 'choice 2'), ('3', 'choice 3')]
self.context = {'id': '1',
'choices': choices,
'status': Status('correct'),
'label': 'test',
'input_type': 'checkbox',
'name_array_suffix': '1',
'value': '3'}
super(ChoiceGroupTemplateTest, self).setUp()
def test_problem_marked_correct(self):
"""
Test conditions under which the entire problem
(not a particular option) is marked correct.
"""
self.context['status'] = Status('correct')
self.context['input_type'] = 'checkbox'
self.context['value'] = ['1', '2']
# Should mark the entire problem correct
xml = self.render_to_xml(self.context)
xpath = "//div[@class='indicator-container']/span[@class='status correct']"
self.assert_has_xpath(xml, xpath, self.context)
# Should NOT mark individual options
self.assert_no_xpath(xml, "//label[@class='choicegroup_incorrect']",
self.context)
self.assert_no_xpath(xml, "//label[@class='choicegroup_correct']",
self.context)
def test_problem_marked_incorrect(self):
"""
Test all conditions under which the entire problem
(not a particular option) is marked incorrect.
"""
conditions = [
{'status': Status('incorrect'), 'input_type': 'radio', 'value': ''},
{'status': Status('incorrect'), 'input_type': 'checkbox', 'value': []},
{'status': Status('incorrect'), 'input_type': 'checkbox', 'value': ['2']},
{'status': Status('incorrect'), 'input_type': 'checkbox', 'value': ['2', '3']},
{'status': Status('incomplete'), 'input_type': 'radio', 'value': ''},
{'status': Status('incomplete'), 'input_type': 'checkbox', 'value': []},
{'status': Status('incomplete'), 'input_type': 'checkbox', 'value': ['2']},
{'status': Status('incomplete'), 'input_type': 'checkbox', 'value': ['2', '3']}]
for test_conditions in conditions:
self.context.update(test_conditions)
xml = self.render_to_xml(self.context)
xpath = "//div[@class='indicator-container']/span[@class='status incorrect']"
self.assert_has_xpath(xml, xpath, self.context)
# Should NOT mark individual options
self.assert_no_xpath(xml,
"//label[@class='choicegroup_incorrect']",
self.context)
self.assert_no_xpath(xml,
"//label[@class='choicegroup_correct']",
self.context)
def test_problem_marked_unsubmitted(self):
"""
Test all conditions under which the entire problem
(not a particular option) is marked unanswered.
"""
conditions = [
{'status': Status('unsubmitted'), 'input_type': 'radio', 'value': ''},
{'status': Status('unsubmitted'), 'input_type': 'radio', 'value': []},
{'status': Status('unsubmitted'), 'input_type': 'checkbox', 'value': []},
{'input_type': 'radio', 'value': ''},
{'input_type': 'radio', 'value': []},
{'input_type': 'checkbox', 'value': []},
{'input_type': 'checkbox', 'value': ['1']},
{'input_type': 'checkbox', 'value': ['1', '2']}]
self.context['status'] = Status('unanswered')
for test_conditions in conditions:
self.context.update(test_conditions)
xml = self.render_to_xml(self.context)
xpath = "//div[@class='indicator-container']/span[@class='status unanswered']"
self.assert_has_xpath(xml, xpath, self.context)
# Should NOT mark individual options
self.assert_no_xpath(xml,
"//label[@class='choicegroup_incorrect']",
self.context)
self.assert_no_xpath(xml,
"//label[@class='choicegroup_correct']",
self.context)
def test_option_marked_correct(self):
"""
Test conditions under which a particular option
(not the entire problem) is marked correct.
"""
conditions = [
{'input_type': 'radio', 'value': '2'},
{'input_type': 'radio', 'value': ['2']}]
self.context['status'] = Status('correct')
for test_conditions in conditions:
self.context.update(test_conditions)
xml = self.render_to_xml(self.context)
xpath = "//label[@class='choicegroup_correct']"
self.assert_has_xpath(xml, xpath, self.context)
# Should NOT mark the whole problem
xpath = "//div[@class='indicator-container']/span"
self.assert_no_xpath(xml, xpath, self.context)
def test_option_marked_incorrect(self):
"""
Test conditions under which a particular option
(not the entire problem) is marked incorrect.
"""
conditions = [
{'input_type': 'radio', 'value': '2'},
{'input_type': 'radio', 'value': ['2']}]
self.context['status'] = Status('incorrect')
for test_conditions in conditions:
self.context.update(test_conditions)
xml = self.render_to_xml(self.context)
xpath = "//label[@class='choicegroup_incorrect']"
self.assert_has_xpath(xml, xpath, self.context)
# Should NOT mark the whole problem
xpath = "//div[@class='indicator-container']/span"
self.assert_no_xpath(xml, xpath, self.context)
def test_never_show_correctness(self):
"""
Test conditions under which we tell the template to
NOT show correct/incorrect, but instead show a message.
This is used, for example, by the Justice course to ask
questions without specifying a correct answer. When
the student responds, the problem displays "Thank you
for your response"
"""
conditions = [
{'input_type': 'radio', 'status': Status('correct'), 'value': ''},
{'input_type': 'radio', 'status': Status('correct'), 'value': '2'},
{'input_type': 'radio', 'status': Status('correct'), 'value': ['2']},
{'input_type': 'radio', 'status': Status('incorrect'), 'value': '2'},
{'input_type': 'radio', 'status': Status('incorrect'), 'value': []},
{'input_type': 'radio', 'status': Status('incorrect'), 'value': ['2']},
{'input_type': 'checkbox', 'status': Status('correct'), 'value': []},
{'input_type': 'checkbox', 'status': Status('correct'), 'value': ['2']},
{'input_type': 'checkbox', 'status': Status('incorrect'), 'value': []},
{'input_type': 'checkbox', 'status': Status('incorrect'), 'value': ['2']}]
self.context['show_correctness'] = 'never'
self.context['submitted_message'] = 'Test message'
for test_conditions in conditions:
self.context.update(test_conditions)
xml = self.render_to_xml(self.context)
# Should NOT mark the entire problem correct/incorrect
xpath = "//div[@class='indicator-container']/span[@class='status correct']"
self.assert_no_xpath(xml, xpath, self.context)
xpath = "//div[@class='indicator-container']/span[@class='status incorrect']"
self.assert_no_xpath(xml, xpath, self.context)
# Should NOT mark individual options
self.assert_no_xpath(xml,
"//label[@class='choicegroup_incorrect']",
self.context)
self.assert_no_xpath(xml,
"//label[@class='choicegroup_correct']",
self.context)
# Expect to see the message
self.assert_has_text(xml, "//div[@class='capa_alert']",
self.context['submitted_message'])
def test_no_message_before_submission(self):
"""
Ensure that we don't show the `submitted_message`
before submitting.
"""
conditions = [
{'input_type': 'radio', 'status': Status('unsubmitted'), 'value': ''},
{'input_type': 'radio', 'status': Status('unsubmitted'), 'value': []},
{'input_type': 'checkbox', 'status': Status('unsubmitted'), 'value': []},
# These tests expose bug #365
# When the bug is fixed, uncomment these cases.
#{'input_type': 'radio', 'status': 'unsubmitted', 'value': '2'},
#{'input_type': 'radio', 'status': 'unsubmitted', 'value': ['2']},
#{'input_type': 'radio', 'status': 'unsubmitted', 'value': '2'},
#{'input_type': 'radio', 'status': 'unsubmitted', 'value': ['2']},
#{'input_type': 'checkbox', 'status': 'unsubmitted', 'value': ['2']},
#{'input_type': 'checkbox', 'status': 'unsubmitted', 'value': ['2']}]
]
self.context['show_correctness'] = 'never'
self.context['submitted_message'] = 'Test message'
for test_conditions in conditions:
self.context.update(test_conditions)
xml = self.render_to_xml(self.context)
# Expect that we do NOT see the message yet
self.assert_no_xpath(xml, "//div[@class='capa_alert']", self.context)
def test_label(self):
xml = self.render_to_xml(self.context)
xpath = "//fieldset[@aria-label='%s']" % self.context['label']
self.assert_has_xpath(xml, xpath, self.context)
class TextlineTemplateTest(TemplateTestCase):
"""
Test mako template for `<textline>` input.
"""
TEMPLATE_NAME = 'textline.html'
def setUp(self):
self.context = {'id': '1',
'status': Status('correct'),
'label': 'test',
'value': '3',
'preprocessor': None,
'trailing_text': None}
super(TextlineTemplateTest, self).setUp()
def test_section_class(self):
cases = [({}, ' capa_inputtype textline'),
({'do_math': True}, 'text-input-dynamath capa_inputtype textline'),
({'inline': True}, ' capa_inputtype inline textline'),
({'do_math': True, 'inline': True}, 'text-input-dynamath capa_inputtype inline textline'), ]
for (context, css_class) in cases:
base_context = self.context.copy()
base_context.update(context)
xml = self.render_to_xml(base_context)
xpath = "//div[@class='%s']" % css_class
self.assert_has_xpath(xml, xpath, self.context)
def test_status(self):
cases = [('correct', 'correct', 'correct'),
('unsubmitted', 'unanswered', 'unanswered'),
('incorrect', 'incorrect', 'incorrect'),
('incomplete', 'incorrect', 'incomplete')]
for (context_status, div_class, status_mark) in cases:
self.context['status'] = Status(context_status)
xml = self.render_to_xml(self.context)
# Expect that we get a <div> with correct class
xpath = "//div[@class='%s ']" % div_class
self.assert_has_xpath(xml, xpath, self.context)
# Expect that we get a <span> with class="status"
# (used to by CSS to draw the green check / red x)
self.assert_has_text(xml, "//span[@class='status']/span[@class='sr']",
status_mark, exact=False)
def test_label(self):
xml = self.render_to_xml(self.context)
xpath = "//input[@aria-label='%s']" % self.context['label']
self.assert_has_xpath(xml, xpath, self.context)
def test_hidden(self):
self.context['hidden'] = True
xml = self.render_to_xml(self.context)
xpath = "//div[@style='display:none;']"
self.assert_has_xpath(xml, xpath, self.context)
xpath = "//input[@style='display:none;']"
self.assert_has_xpath(xml, xpath, self.context)
def test_do_math(self):
self.context['do_math'] = True
xml = self.render_to_xml(self.context)
xpath = "//input[@class='math']"
self.assert_has_xpath(xml, xpath, self.context)
xpath = "//div[@class='equation']"
self.assert_has_xpath(xml, xpath, self.context)
xpath = "//textarea[@id='input_1_dynamath']"
self.assert_has_xpath(xml, xpath, self.context)
def test_size(self):
self.context['size'] = '20'
xml = self.render_to_xml(self.context)
xpath = "//input[@size='20']"
self.assert_has_xpath(xml, xpath, self.context)
def test_preprocessor(self):
self.context['preprocessor'] = {'class_name': 'test_class',
'script_src': 'test_script'}
xml = self.render_to_xml(self.context)
xpath = "//div[contains(@class, 'text-input-dynamath_data') and @data-preprocessor='test_class']"
self.assert_has_xpath(xml, xpath, self.context)
xpath = "//div[@class='script_placeholder' and @data-src='test_script']"
self.assert_has_xpath(xml, xpath, self.context)
def test_do_inline_and_preprocessor(self):
self.context['preprocessor'] = {'class_name': 'test_class',
'script_src': 'test_script'}
self.context['inline'] = True
xml = self.render_to_xml(self.context)
xpath = "//div[contains(@class, 'text-input-dynamath_data inline') and @data-preprocessor='test_class']"
self.assert_has_xpath(xml, xpath, self.context)
def test_do_inline(self):
cases = [('correct', 'correct'),
('unsubmitted', 'unanswered'),
('incorrect', 'incorrect'),
('incomplete', 'incorrect')]
self.context['inline'] = True
for (context_status, div_class) in cases:
self.context['status'] = Status(context_status)
xml = self.render_to_xml(self.context)
# Expect that we get a <div> with correct class
xpath = "//div[@class='%s inline']" % div_class
self.assert_has_xpath(xml, xpath, self.context)
def test_message(self):
self.context['msg'] = "Test message"
xml = self.render_to_xml(self.context)
xpath = "//span[@class='message']"
self.assert_has_text(xml, xpath, self.context['msg'])
class FormulaEquationInputTemplateTest(TemplateTestCase):
"""
Test make template for `<formulaequationinput>`s.
"""
TEMPLATE_NAME = 'formulaequationinput.html'
def setUp(self):
self.context = {
'id': 2,
'value': 'PREFILLED_VALUE',
'status': Status('unsubmitted'),
'label': 'test',
'previewer': 'file.js',
'reported_status': 'REPORTED_STATUS',
'trailing_text': None,
}
super(FormulaEquationInputTemplateTest, self).setUp()
def test_no_size(self):
xml = self.render_to_xml(self.context)
self.assert_no_xpath(xml, "//input[@size]", self.context)
def test_size(self):
self.context['size'] = '40'
xml = self.render_to_xml(self.context)
self.assert_has_xpath(xml, "//input[@size='40']", self.context)
class AnnotationInputTemplateTest(TemplateTestCase):
"""
Test mako template for `<annotationinput>` input.
"""
TEMPLATE_NAME = 'annotationinput.html'
def setUp(self):
self.context = {'id': 2,
'value': '<p>Test value</p>',
'title': '<h1>This is a title</h1>',
'text': '<p><b>This</b> is a test.</p>',
'comment': '<p>This is a test comment</p>',
'comment_prompt': '<p>This is a test comment prompt</p>',
'comment_value': '<p>This is the value of a test comment</p>',
'tag_prompt': '<p>This is a tag prompt</p>',
'options': [],
'has_options_value': False,
'debug': False,
'status': Status('unsubmitted'),
'return_to_annotation': False,
'msg': '<p>This is a test message</p>', }
super(AnnotationInputTemplateTest, self).setUp()
def test_return_to_annotation(self):
"""
Test link for `Return to Annotation` appears if and only if
the flag is set.
"""
xpath = "//a[@class='annotation-return']"
# If return_to_annotation set, then show the link
self.context['return_to_annotation'] = True
xml = self.render_to_xml(self.context)
self.assert_has_xpath(xml, xpath, self.context)
# Otherwise, do not show the links
self.context['return_to_annotation'] = False
xml = self.render_to_xml(self.context)
self.assert_no_xpath(xml, xpath, self.context)
def test_option_selection(self):
"""
Test that selected options are selected.
"""
# Create options 0-4 and select option 2
self.context['options_value'] = [2]
self.context['options'] = [
{'id': id_num,
'choice': 'correct',
'description': '<p>Unescaped <b>HTML {0}</b></p>'.format(id_num)}
for id_num in range(5)]
xml = self.render_to_xml(self.context)
# Expect that each option description is visible
# with unescaped HTML.
# Since the HTML is unescaped, we can traverse the XML tree
for id_num in range(5):
xpath = "//span[@data-id='{0}']/p/b".format(id_num)
self.assert_has_text(xml, xpath, 'HTML {0}'.format(id_num), exact=False)
# Expect that the correct option is selected
xpath = "//span[contains(@class,'selected')]/p/b"
self.assert_has_text(xml, xpath, 'HTML 2', exact=False)
def test_submission_status(self):
"""
Test that the submission status displays correctly.
"""
# Test cases of `(input_status, expected_css_class)` tuples
test_cases = [('unsubmitted', 'unanswered'),
('incomplete', 'incorrect'),
('incorrect', 'incorrect')]
for (input_status, expected_css_class) in test_cases:
self.context['status'] = Status(input_status)
xml = self.render_to_xml(self.context)
xpath = "//span[@class='status {0}']".format(expected_css_class)
self.assert_has_xpath(xml, xpath, self.context)
# If individual options are being marked, then expect
# just the option to be marked incorrect, not the whole problem
self.context['has_options_value'] = True
self.context['status'] = Status('incorrect')
xpath = "//span[@class='incorrect']"
xml = self.render_to_xml(self.context)
self.assert_no_xpath(xml, xpath, self.context)
def test_display_html_comment(self):
"""
Test that HTML comment and comment prompt render.
"""
self.context['comment'] = "<p>Unescaped <b>comment HTML</b></p>"
self.context['comment_prompt'] = "<p>Prompt <b>prompt HTML</b></p>"
self.context['text'] = "<p>Unescaped <b>text</b></p>"
xml = self.render_to_xml(self.context)
# Because the HTML is unescaped, we should be able to
# descend to the <b> tag
xpath = "//div[@class='block']/p/b"
self.assert_has_text(xml, xpath, 'prompt HTML')
xpath = "//div[@class='block block-comment']/p/b"
self.assert_has_text(xml, xpath, 'comment HTML')
xpath = "//div[@class='block block-highlight']/p/b"
self.assert_has_text(xml, xpath, 'text')
def test_display_html_tag_prompt(self):
"""
Test that HTML tag prompts render.
"""
self.context['tag_prompt'] = "<p>Unescaped <b>HTML</b></p>"
xml = self.render_to_xml(self.context)
# Because the HTML is unescaped, we should be able to
# descend to the <b> tag
xpath = "//div[@class='block']/p/b"
self.assert_has_text(xml, xpath, 'HTML')
class MathStringTemplateTest(TemplateTestCase):
"""
Test mako template for `<mathstring>` input.
"""
TEMPLATE_NAME = 'mathstring.html'
def setUp(self):
self.context = {'isinline': False, 'mathstr': '', 'tail': ''}
super(MathStringTemplateTest, self).setUp()
def test_math_string_inline(self):
self.context['isinline'] = True
self.context['mathstr'] = 'y = ax^2 + bx + c'
xml = self.render_to_xml(self.context)
xpath = "//section[@class='math-string']/span[1]"
self.assert_has_text(xml, xpath,
'[mathjaxinline]y = ax^2 + bx + c[/mathjaxinline]')
def test_math_string_not_inline(self):
self.context['isinline'] = False
self.context['mathstr'] = 'y = ax^2 + bx + c'
xml = self.render_to_xml(self.context)
xpath = "//section[@class='math-string']/span[1]"
self.assert_has_text(xml, xpath,
'[mathjax]y = ax^2 + bx + c[/mathjax]')
def test_tail_html(self):
self.context['tail'] = "<p>This is some <b>tail</b> <em>HTML</em></p>"
xml = self.render_to_xml(self.context)
# HTML from `tail` should NOT be escaped.
# We should be able to traverse it as part of the XML tree
xpath = "//section[@class='math-string']/span[2]/p/b"
self.assert_has_text(xml, xpath, 'tail')
xpath = "//section[@class='math-string']/span[2]/p/em"
self.assert_has_text(xml, xpath, 'HTML')
class OptionInputTemplateTest(TemplateTestCase):
"""
Test mako template for `<optioninput>` input.
"""
TEMPLATE_NAME = 'optioninput.html'
def setUp(self):
self.context = {
'id': 2,
'options': [],
'status': Status('unsubmitted'),
'label': 'test',
'value': 0
}
super(OptionInputTemplateTest, self).setUp()
def test_select_options(self):
# Create options 0-4, and select option 2
self.context['options'] = [(id_num, '<b>Option {0}</b>'.format(id_num))
for id_num in range(5)]
self.context['value'] = 2
xml = self.render_to_xml(self.context)
# Should have a dummy default
xpath = "//option[@value='option_2_dummy_default']"
self.assert_has_xpath(xml, xpath, self.context)
# Should have each of the options, with the correct description
# The description HTML should NOT be escaped
# (that's why we descend into the <b> tag)
for id_num in range(5):
xpath = "//option[@value='{0}']/b".format(id_num)
self.assert_has_text(xml, xpath, 'Option {0}'.format(id_num))
# Should have the correct option selected
xpath = "//option[@selected='true']/b"
self.assert_has_text(xml, xpath, 'Option 2')
def test_status(self):
# Test cases, where each tuple represents
# `(input_status, expected_css_class)`
test_cases = [('unsubmitted', 'status unanswered'),
('correct', 'status correct'),
('incorrect', 'status incorrect'),
('incomplete', 'status incorrect')]
for (input_status, expected_css_class) in test_cases:
self.context['status'] = Status(input_status)
xml = self.render_to_xml(self.context)
xpath = "//span[@class='{0}']".format(expected_css_class)
self.assert_has_xpath(xml, xpath, self.context)
def test_label(self):
xml = self.render_to_xml(self.context)
xpath = "//select[@aria-label='%s']" % self.context['label']
self.assert_has_xpath(xml, xpath, self.context)
class DragAndDropTemplateTest(TemplateTestCase):
"""
Test mako template for `<draganddropinput>` input.
"""
TEMPLATE_NAME = 'drag_and_drop_input.html'
def setUp(self):
self.context = {'id': 2,
'drag_and_drop_json': '',
'value': 0,
'status': Status('unsubmitted'),
'msg': ''}
super(DragAndDropTemplateTest, self).setUp()
def test_status(self):
# Test cases, where each tuple represents
# `(input_status, expected_css_class, expected_text)`
test_cases = [('unsubmitted', 'unanswered', 'unanswered'),
('correct', 'correct', 'correct'),
('incorrect', 'incorrect', 'incorrect'),
('incomplete', 'incorrect', 'incomplete')]
for (input_status, expected_css_class, expected_text) in test_cases:
self.context['status'] = Status(input_status)
xml = self.render_to_xml(self.context)
# Expect a <div> with the status
xpath = "//div[@class='{0}']".format(expected_css_class)
self.assert_has_xpath(xml, xpath, self.context)
# Expect a <p> with the status
xpath = "//p[@class='status']"
self.assert_has_text(xml, xpath, expected_text, exact=False)
def test_drag_and_drop_json_html(self):
json_with_html = json.dumps({'test': '<p>Unescaped <b>HTML</b></p>'})
self.context['drag_and_drop_json'] = json_with_html
xml = self.render_to_xml(self.context)
# Assert that the JSON-encoded string was inserted without
# escaping the HTML. We should be able to traverse the XML tree.
xpath = "//div[@class='drag_and_drop_problem_json']/p/b"
self.assert_has_text(xml, xpath, 'HTML')
class ChoiceTextGroupTemplateTest(TemplateTestCase):
"""Test mako template for `<choicetextgroup>` input"""
TEMPLATE_NAME = 'choicetext.html'
VALUE_DICT = {'1_choiceinput_0bc': '1_choiceinput_0bc', '1_choiceinput_0_textinput_0': '0',
'1_choiceinput_1_textinput_0': '0'}
EMPTY_DICT = {'1_choiceinput_0_textinput_0': '',
'1_choiceinput_1_textinput_0': ''}
BOTH_CHOICE_CHECKBOX = {'1_choiceinput_0bc': 'choiceinput_0',
'1_choiceinput_1bc': 'choiceinput_1',
'1_choiceinput_0_textinput_0': '0',
'1_choiceinput_1_textinput_0': '0'}
WRONG_CHOICE_CHECKBOX = {'1_choiceinput_1bc': 'choiceinput_1',
'1_choiceinput_0_textinput_0': '0',
'1_choiceinput_1_textinput_0': '0'}
def setUp(self):
choices = [
(
'1_choiceinput_0bc',
[
{'tail_text': '', 'type': 'text', 'value': '', 'contents': ''},
{'tail_text': '', 'type': 'textinput', 'value': '', 'contents': 'choiceinput_0_textinput_0'},
]
),
(
'1_choiceinput_1bc',
[
{'tail_text': '', 'type': 'text', 'value': '', 'contents': ''},
{'tail_text': '', 'type': 'textinput', 'value': '', 'contents': 'choiceinput_1_textinput_0'},
]
)
]
self.context = {
'id': '1',
'choices': choices,
'status': Status('correct'),
'input_type': 'radio',
'label': 'choicetext label',
'value': self.VALUE_DICT,
}
super(ChoiceTextGroupTemplateTest, self).setUp()
def test_grouping_tag(self):
"""
Tests whether we are using a section or a label to wrap choice elements.
Section is used for checkbox, so inputting text does not deselect
"""
input_tags = ('radio', 'checkbox')
self.context['status'] = Status('correct')
xpath = "//section[@id='forinput1_choiceinput_0bc']"
self.context['value'] = {}
for input_type in input_tags:
self.context['input_type'] = input_type
xml = self.render_to_xml(self.context)
self.assert_has_xpath(xml, xpath, self.context)
def test_problem_marked_correct(self):
"""Test conditions under which the entire problem
(not a particular option) is marked correct"""
self.context['status'] = Status('correct')
self.context['input_type'] = 'checkbox'
self.context['value'] = self.VALUE_DICT
# Should mark the entire problem correct
xml = self.render_to_xml(self.context)
xpath = "//div[@class='indicator-container']/span[@class='status correct']"
self.assert_has_xpath(xml, xpath, self.context)
# Should NOT mark individual options
self.assert_no_xpath(xml, "//label[@class='choicetextgroup_incorrect']",
self.context)
self.assert_no_xpath(xml, "//label[@class='choicetextgroup_correct']",
self.context)
def test_problem_marked_incorrect(self):
"""Test all conditions under which the entire problem
(not a particular option) is marked incorrect"""
grouping_tags = {'radio': 'label', 'checkbox': 'section'}
conditions = [
{'status': Status('incorrect'), 'input_type': 'radio', 'value': {}},
{'status': Status('incorrect'), 'input_type': 'checkbox', 'value': self.WRONG_CHOICE_CHECKBOX},
{'status': Status('incorrect'), 'input_type': 'checkbox', 'value': self.BOTH_CHOICE_CHECKBOX},
{'status': Status('incorrect'), 'input_type': 'checkbox', 'value': self.VALUE_DICT},
{'status': Status('incomplete'), 'input_type': 'radio', 'value': {}},
{'status': Status('incomplete'), 'input_type': 'checkbox', 'value': self.WRONG_CHOICE_CHECKBOX},
{'status': Status('incomplete'), 'input_type': 'checkbox', 'value': self.BOTH_CHOICE_CHECKBOX},
{'status': Status('incomplete'), 'input_type': 'checkbox', 'value': self.VALUE_DICT}]
for test_conditions in conditions:
self.context.update(test_conditions)
xml = self.render_to_xml(self.context)
xpath = "//div[@class='indicator-container']/span[@class='status incorrect']"
self.assert_has_xpath(xml, xpath, self.context)
# Should NOT mark individual options
grouping_tag = grouping_tags[test_conditions['input_type']]
self.assert_no_xpath(xml,
"//{0}[@class='choicetextgroup_incorrect']".format(grouping_tag),
self.context)
self.assert_no_xpath(xml,
"//{0}[@class='choicetextgroup_correct']".format(grouping_tag),
self.context)
def test_problem_marked_unsubmitted(self):
"""Test all conditions under which the entire problem
(not a particular option) is marked unanswered"""
grouping_tags = {'radio': 'label', 'checkbox': 'section'}
conditions = [
{'status': Status('unsubmitted'), 'input_type': 'radio', 'value': {}},
{'status': Status('unsubmitted'), 'input_type': 'radio', 'value': self.EMPTY_DICT},
{'status': Status('unsubmitted'), 'input_type': 'checkbox', 'value': {}},
{'status': Status('unsubmitted'), 'input_type': 'checkbox', 'value': self.EMPTY_DICT},
{'status': Status('unsubmitted'), 'input_type': 'checkbox', 'value': self.VALUE_DICT},
{'status': Status('unsubmitted'), 'input_type': 'checkbox', 'value': self.BOTH_CHOICE_CHECKBOX},
]
self.context['status'] = Status('unanswered')
for test_conditions in conditions:
self.context.update(test_conditions)
xml = self.render_to_xml(self.context)
xpath = "//div[@class='indicator-container']/span[@class='status unanswered']"
self.assert_has_xpath(xml, xpath, self.context)
# Should NOT mark individual options
grouping_tag = grouping_tags[test_conditions['input_type']]
self.assert_no_xpath(xml,
"//{0}[@class='choicetextgroup_incorrect']".format(grouping_tag),
self.context)
self.assert_no_xpath(xml,
"//{0}[@class='choicetextgroup_correct']".format(grouping_tag),
self.context)
def test_option_marked_correct(self):
"""Test conditions under which a particular option
(not the entire problem) is marked correct."""
conditions = [
{'input_type': 'radio', 'value': self.VALUE_DICT}]
self.context['status'] = 'correct'
for test_conditions in conditions:
self.context.update(test_conditions)
xml = self.render_to_xml(self.context)
xpath = "//section[@id='forinput1_choiceinput_0bc' and\
@class='choicetextgroup_correct']"
self.assert_has_xpath(xml, xpath, self.context)
# Should NOT mark the whole problem
xpath = "//div[@class='indicator-container']/span"
self.assert_no_xpath(xml, xpath, self.context)
def test_option_marked_incorrect(self):
"""Test conditions under which a particular option
(not the entire problem) is marked incorrect."""
conditions = [
{'input_type': 'radio', 'value': self.VALUE_DICT}]
self.context['status'] = 'incorrect'
for test_conditions in conditions:
self.context.update(test_conditions)
xml = self.render_to_xml(self.context)
xpath = "//section[@id='forinput1_choiceinput_0bc' and\
@class='choicetextgroup_incorrect']"
self.assert_has_xpath(xml, xpath, self.context)
# Should NOT mark the whole problem
xpath = "//div[@class='indicator-container']/span"
self.assert_no_xpath(xml, xpath, self.context)
def test_label(self):
xml = self.render_to_xml(self.context)
xpath = "//fieldset[@aria-label='%s']" % self.context['label']
self.assert_has_xpath(xml, xpath, self.context)
|
agpl-3.0
|
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ran5515/DeepDecision
|
tensorflow/contrib/timeseries/python/timeseries/state_space_models/state_space_model.py
|
8
|
56990
|
# 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.
# ==============================================================================
"""Abstract base for state space models."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import abc
import collections
import numpy
from tensorflow.contrib.layers.python.layers import layers
from tensorflow.contrib.timeseries.python.timeseries import math_utils
from tensorflow.contrib.timeseries.python.timeseries import model
from tensorflow.contrib.timeseries.python.timeseries import model_utils
from tensorflow.contrib.timeseries.python.timeseries.feature_keys import TrainEvalFeatures
from tensorflow.contrib.timeseries.python.timeseries.state_space_models import kalman_filter
from tensorflow.python.estimator import estimator_lib
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import control_flow_ops
from tensorflow.python.ops import gen_math_ops
from tensorflow.python.ops import linalg_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import variable_scope
class StateSpaceModelConfiguration(
collections.namedtuple(
typename="StateSpaceModelConfiguration",
field_names=[
"num_features", "use_observation_noise", "dtype",
"covariance_prior_fn", "bayesian_prior_weighting",
"filtering_postprocessor", "trainable_start_state",
"exogenous_noise_increases", "exogenous_noise_decreases",
"exogenous_feature_columns", "exogenous_update_condition",
"filtering_maximum_posterior_variance_ratio",
"filtering_minimum_posterior_variance",
"transition_covariance_initial_log_scale_bias",
"static_unrolling_window_size_threshold"])):
"""Configuration options for StateSpaceModels."""
def __new__(
cls,
num_features=1,
use_observation_noise=True,
dtype=dtypes.float32,
covariance_prior_fn=math_utils.log_noninformative_covariance_prior,
bayesian_prior_weighting=True,
filtering_postprocessor=None,
trainable_start_state=False,
exogenous_noise_increases=True,
exogenous_noise_decreases=False,
exogenous_feature_columns=None,
exogenous_update_condition=None,
filtering_maximum_posterior_variance_ratio=1e6,
filtering_minimum_posterior_variance=0.,
transition_covariance_initial_log_scale_bias=-5.,
static_unrolling_window_size_threshold=None):
"""Configuration options for StateSpaceModels.
Args:
num_features: Output dimension for model
use_observation_noise: If true, observations are modeled as noisy
functions of the current state. If false, observations are a
deterministic function of the current state. Only applicable to the
top-level model in an ensemble. Consider also changing the
transition_covariance_initial_log_scale_bias when disabling observation
noise, as its default setting assumes that observation noise is part of
the model.
dtype: The float dtype to use when defining the model.
covariance_prior_fn: A function mapping from a covariance matrix to a
scalar value (e.g. log likelihood) which can be summed across
matrices. Defaults to an independent Jeffreys prior on the diagonal
elements (regularizing as log(1. / variance)). To use a flat prior
(i.e. no regularization), set to `lambda _: 0.`. Defaults to
relatively uninformative priors on state transition and observation
noise, which have the effect of encouraging low-noise solutions which
provide confident predictions when possible. Without regularization,
transition noise tends to remain high, and multi-step predictions are
under-confident.
bayesian_prior_weighting: If True, weights the prior (covariance_prior_fn)
based on an estimate of the full dataset size. If False, weights it
based on the mini-batch window size, which (while statistically
improper) can lead to more desirable low-noise solutions in cases
where the full dataset is large enough to overwhelm the prior.
filtering_postprocessor: A FilteringStepPostprocessor object to use,
useful for ignoring anomalies in training data.
trainable_start_state: If True, start state may depend on trainable
Variables. If False, it will not.
exogenous_noise_increases: If True, exogenous regressors can add to model
state, increasing uncertainty. If both this parameter and
exogenous_noise_decreases are False, exogenous regressors are ignored.
exogenous_noise_decreases: If True, exogenous regressors can "set" model
state, decreasing uncertainty. If both this parameter and
exogenous_noise_increases are False, exogenous regressors are ignored.
exogenous_feature_columns: A list of tf.contrib.layers.FeatureColumn
objects (for example tf.contrib.layers.embedding_column) corresponding
to exogenous features which provide extra information to the model but
are not part of the series to be predicted. Passed to
tf.contrib.layers.input_from_feature_columns.
exogenous_update_condition: A function taking two Tensor arguments `times`
(shape [batch size]) and `features` (a dictionary mapping exogenous
feature keys to Tensors with shapes [batch size, ...]) and returning a
boolean Tensor with shape [batch size] indicating whether state should
be updated using exogenous features for each part of the batch. Where
it is False, no exogenous update is performed. If None (default),
exogenous updates are always performed. Useful for avoiding "leaky"
frequent exogenous updates when sparse updates are desired. Called
only during graph construction.
filtering_maximum_posterior_variance_ratio: The maximum allowed ratio of
two diagonal entries in a state covariance matrix just prior to
filtering. Lower values mean that filtering will be more numerically
stable, at the cost of artificially increasing estimated uncertainty
in some cases. This parameter can be important when learning a
transition matrix.
filtering_minimum_posterior_variance: The minimum diagonal value in a
state covariance matrix just prior to filtering, preventing numerical
instability due to deterministic beliefs (sometimes an issue when
learning transition matrices). This value should be set several orders
of magnitude below any expected minimum state uncertainty.
transition_covariance_initial_log_scale_bias: Controls the initial
tradeoff between the transition noise covariance matrix and the
observation noise covariance matrix, on a log scale (the elements of
the transition noise covariance matrix are proportional to `e^{X +
transition_covariance_initial_log_scale_bias}` where `X` is learned
and may depend on input statistics, observation noise covariance is
proportional to `e^{Y -
transition_covariance_initial_log_scale_bias}`). For models *with*
observation noise, -5 is a reasonable value. Models which do not use
observation noise, and are not part of an ensemble which does use
observation noise, should have this set to 0 or more to avoid
numerical issues due to filtering with too little noise.
static_unrolling_window_size_threshold: Only relevant for the top-level
StateSpaceModel in an ensemble; enables switching between static and
dynamic looping (if not None, default, meaning that no static
unrolling is performed) based on the window size (windows with this
size and smaller will have their graphs unrolled statically). See the
SequentialTimeSeriesModel constructor for details.
Returns:
A StateSpaceModelConfiguration object.
"""
if exogenous_feature_columns is None:
exogenous_feature_columns = []
return super(StateSpaceModelConfiguration, cls).__new__(
cls, num_features, use_observation_noise, dtype,
covariance_prior_fn, bayesian_prior_weighting,
filtering_postprocessor, trainable_start_state,
exogenous_noise_increases, exogenous_noise_decreases,
exogenous_feature_columns, exogenous_update_condition,
filtering_maximum_posterior_variance_ratio,
filtering_minimum_posterior_variance,
transition_covariance_initial_log_scale_bias,
static_unrolling_window_size_threshold)
class StateSpaceModel(model.SequentialTimeSeriesModel):
"""Base class for linear state space models.
Sub-classes can specify the model to be learned by overriding
get_state_transition, get_noise_transform, and get_observation_model.
See kalman_filter.py for a detailed description of the class of models covered
by StateSpaceModel.
Briefly, state space models are defined by a state transition equation:
state[t] = StateTransition * state[t-1] + NoiseTransform * StateNoise[t]
+ ExogenousNoiseIncreasing[t]
StateNoise[t] ~ Gaussian(0, StateNoiseCovariance)
ExogenousNoiseIncreasing[t] ~ Gaussian(ExogenousNoiseIncreasingMean[t],
ExogenousNoiseIncreasingCovariance[t])
And an observation model:
observation[t] = ObservationModel * state[t] + ObservationNoise[t]
ObservationNoise[t] ~ Gaussian(0, ObservationNoiseCovariance)
Additionally, exogenous regressors can act as observations, decreasing
uncertainty:
ExogenousNoiseDecreasingObservation[t] ~ Gaussian(
ExogenousNoiseDecreasingMean[t], ExogenousNoiseDecreasingCovariance[t])
Attributes:
kalman_filter: If initialize_graph has been called, the initialized
KalmanFilter to use for inference. None otherwise.
prior_state_mean: If initialize_graph has been called, a
Variable-parameterized Tensor with shape [state dimension];
the initial prior mean for one or more time series. None otherwise.
prior_state_var: If initialize_graph has been called, a
Variable-parameterized Tensor with shape [state dimension x state
dimension]; the initial prior covariance. None otherwise.
state_transition_noise_covariance: If initialize_graph has been called, a
Variable-parameterized Tensor with shape [state noise dimension x state
noise dimension] indicating the amount of noise added at each
transition.
"""
def __init__(self, configuration):
"""Initialize a state space model.
Args:
configuration: A StateSpaceModelConfiguration object.
"""
self._configuration = configuration
if configuration.filtering_postprocessor is not None:
filtering_postprocessor_names = (
configuration.filtering_postprocessor.output_names)
else:
filtering_postprocessor_names = []
super(StateSpaceModel, self).__init__(
train_output_names=(["mean", "covariance", "log_likelihood"]
+ filtering_postprocessor_names),
predict_output_names=["mean", "covariance"],
num_features=configuration.num_features,
dtype=configuration.dtype,
exogenous_feature_columns=configuration.exogenous_feature_columns,
exogenous_update_condition=configuration.exogenous_update_condition,
static_unrolling_window_size_threshold=
configuration.static_unrolling_window_size_threshold)
self._kalman_filter = None
self.prior_state_mean = None
self.prior_state_var = None
self.state_transition_noise_covariance = None
self._total_observation_count = None
self._observation_noise_covariance = None
# Capture the current variable scope and use it to define all model
# variables. Especially useful for ensembles, where variables may be defined
# for every component model in one function call, which would otherwise
# prevent the user from separating variables from different models into
# different scopes.
self._variable_scope = variable_scope.get_variable_scope()
def transition_power_noise_accumulator(self, num_steps):
r"""Sum a transitioned covariance matrix over a number of steps.
Computes
\sum_{i=0}^{num_steps - 1} (
state_transition^i
* state_transition_noise_covariance
* (state_transition^i)^T)
If special cases are available, overriding this function can lead to more
efficient inferences.
Args:
num_steps: A [...] shape integer Tensor with numbers of steps to compute
power sums for.
Returns:
The computed power sum, with shape [..., state dimension, state
dimension].
"""
# TODO(allenl): This general case should use cumsum if transition_to_powers
# can be computed in constant time (important for correlated ensembles,
# where transition_power_noise_accumulator special cases cannot be
# aggregated from member models).
noise_transform = ops.convert_to_tensor(self.get_noise_transform(),
self.dtype)
noise_transformed = math_ops.matmul(
math_ops.matmul(noise_transform,
self.state_transition_noise_covariance),
noise_transform,
transpose_b=True)
noise_additions = math_utils.power_sums_tensor(
math_ops.reduce_max(num_steps) + 1,
ops.convert_to_tensor(self.get_state_transition(), dtype=self.dtype),
noise_transformed)
return array_ops.gather(noise_additions, indices=num_steps)
def transition_to_powers(self, powers):
"""Raise the transition matrix to a batch of powers.
Computes state_transition^powers. If special cases are available, overriding
this function can lead to more efficient inferences.
Args:
powers: A [...] shape integer Tensor with powers to raise the transition
matrix to.
Returns:
The computed matrix powers, with shape [..., state dimension, state
dimension].
"""
return math_utils.matrix_to_powers(
ops.convert_to_tensor(self.get_state_transition(), dtype=self.dtype),
powers)
def _window_initializer(self, times, state):
"""Prepare to impute across the gaps in a window."""
_, _, priors_from_time = state
times = ops.convert_to_tensor(times)
priors_from_time = ops.convert_to_tensor(priors_from_time)
with ops.control_dependencies([
control_flow_ops.Assert(
math_ops.reduce_all(priors_from_time <= times[:, 0]),
[priors_from_time, times[:, 0]],
summarize=100)
]):
times = array_ops.identity(times)
intra_batch_gaps = array_ops.reshape(times[:, 1:] - times[:, :-1], [-1])
starting_gaps = times[:, 0] - priors_from_time
# Pre-define transition matrices raised to powers (and their sums) for every
# gap in this window. This avoids duplicate computation (for example many
# steps will use the transition matrix raised to the first power) and
# batches the computation rather than doing it inside the per-step loop.
unique_gaps, _ = array_ops.unique(
array_ops.concat([intra_batch_gaps, starting_gaps], axis=0))
self._window_power_sums = self.transition_power_noise_accumulator(
unique_gaps)
self._window_transition_powers = self.transition_to_powers(unique_gaps)
self._window_gap_sizes = unique_gaps
def _lookup_window_caches(self, caches, indices):
_, window_power_ids = array_ops.unique(
array_ops.concat(
[
self._window_gap_sizes, math_ops.cast(
indices, self._window_gap_sizes.dtype)
],
axis=0))
all_gathered_indices = []
for cache in caches:
gathered_indices = array_ops.gather(
cache, window_power_ids[-array_ops.shape(indices)[0]:])
gathered_indices.set_shape(indices.get_shape().concatenate(
gathered_indices.get_shape()[-2:]))
all_gathered_indices.append(gathered_indices)
return all_gathered_indices
def _cached_transition_powers_and_sums(self, num_steps):
return self._lookup_window_caches(
caches=[self._window_transition_powers, self._window_power_sums],
indices=num_steps)
def _imputation_step(self, current_times, state):
"""Add state transition noise to catch `state` up to `current_times`.
State space models are inherently sequential, so we need to "predict
through" any missing time steps to catch up each element of the batch to its
next observation/prediction time.
Args:
current_times: A [batch size] Tensor of times to impute up to, not
inclusive.
state: A tuple of (mean, covariance, previous_times) having shapes
mean; [batch size x state dimension]
covariance; [batch size x state dimension x state dimension]
previous_times; [batch size]
Returns:
Imputed model state corresponding to the `state` argument.
"""
estimated_state, estimated_state_var, previous_times = state
catchup_times = current_times - previous_times
non_negative_assertion = control_flow_ops.Assert(
math_ops.reduce_all(catchup_times >= 0), [
"Negative imputation interval", catchup_times, current_times,
previous_times
],
summarize=100)
with ops.control_dependencies([non_negative_assertion]):
transition_matrices, transition_noise_sums = ( # pylint: disable=unbalanced-tuple-unpacking
self._cached_transition_powers_and_sums(catchup_times))
estimated_state = self._kalman_filter.predict_state_mean(
estimated_state, transition_matrices)
estimated_state_var = self._kalman_filter.predict_state_var(
estimated_state_var, transition_matrices, transition_noise_sums)
return (estimated_state, estimated_state_var,
previous_times + catchup_times)
def _filtering_step(self, current_times, current_values, state, predictions):
"""Compute posteriors and accumulate one-step-ahead predictions.
Args:
current_times: A [batch size] Tensor for times for each observation.
current_values: A [batch size] Tensor of values for each observaiton.
state: A tuple of (mean, covariance, previous_times) having shapes
mean; [batch size x state dimension]
covariance; [batch size x state dimension x state dimension]
previous_times; [batch size]
predictions: A dictionary containing mean and covariance Tensors, the
output of _prediction_step.
Returns:
A tuple of (posteriors, outputs):
posteriors: Model state updated to take `current_values` into account.
outputs: The `predictions` dictionary updated to include "loss" and
"log_likelihood" entries (loss simply being negative log
likelihood).
"""
estimated_state, estimated_state_covariance, previous_times = state
observation_model = self.get_broadcasted_observation_model(current_times)
imputed_to_current_step_assert = control_flow_ops.Assert(
math_ops.reduce_all(math_ops.equal(current_times, previous_times)),
["Attempted to perform filtering without imputation/prediction"])
with ops.control_dependencies([imputed_to_current_step_assert]):
estimated_state_covariance = math_utils.clip_covariance(
estimated_state_covariance,
self._configuration.filtering_maximum_posterior_variance_ratio,
self._configuration.filtering_minimum_posterior_variance)
(filtered_state, filtered_state_covariance,
log_prob) = self._kalman_filter.do_filter(
estimated_state=estimated_state,
estimated_state_covariance=estimated_state_covariance,
predicted_observation=predictions["mean"],
predicted_observation_covariance=predictions["covariance"],
observation=current_values,
observation_model=observation_model,
observation_noise=self._observation_noise_covariance)
filtered_state = (filtered_state, filtered_state_covariance, current_times)
log_prob.set_shape(current_times.get_shape())
predictions["loss"] = -log_prob
predictions["log_likelihood"] = log_prob
if self._configuration.filtering_postprocessor is not None:
return self._configuration.filtering_postprocessor.process_filtering_step(
current_times=current_times,
current_values=current_values,
predicted_state=state,
filtered_state=filtered_state,
outputs=predictions)
return (filtered_state, predictions)
def _prediction_step(self, current_times, state):
"""Make a prediction based on `state`.
Computes predictions based on the current `state`, checking that it has
already been updated (in `_imputation_step`) to `current_times`.
Args:
current_times: A [batch size] Tensor for times to make predictions for.
state: A tuple of (mean, covariance, previous_times) having shapes
mean; [batch size x state dimension]
covariance; [batch size x state dimension x state dimension]
previous_times; [batch size]
Returns:
A tuple of (updated state, predictions):
updated state: Model state with added transition noise.
predictions: A dictionary with "mean" and "covariance", having shapes
"mean": [batch size x num features]
"covariance: [batch size x num features x num features]
"""
estimated_state, estimated_state_var, previous_times = state
advanced_to_current_assert = control_flow_ops.Assert(
math_ops.reduce_all(math_ops.equal(current_times, previous_times)),
["Attempted to predict without imputation"])
with ops.control_dependencies([advanced_to_current_assert]):
observation_model = self.get_broadcasted_observation_model(current_times)
predicted_obs, predicted_obs_var = (
self._kalman_filter.observed_from_state(
state_mean=estimated_state,
state_var=estimated_state_var,
observation_model=observation_model,
observation_noise=self._observation_noise_covariance))
predicted_obs_var.set_shape(
ops.convert_to_tensor(current_times).get_shape()
.concatenate([self.num_features, self.num_features]))
predicted_obs.set_shape(current_times.get_shape().concatenate(
(self.num_features,)))
predicted_obs_var.set_shape(current_times.get_shape().concatenate(
(self.num_features, self.num_features)))
predictions = {
"mean": predicted_obs,
"covariance": predicted_obs_var}
state = (estimated_state, estimated_state_var, current_times)
return (state, predictions)
def _exogenous_noise_decreasing(self, current_times, exogenous_values, state):
"""Update state with exogenous regressors, decreasing uncertainty.
Constructs a mean and covariance based on transformations of
`exogenous_values`, then performs Bayesian inference on the constructed
observation. This has the effect of lowering uncertainty.
This update refines or overrides previous inferences, useful for modeling
exogenous inputs which "set" state, e.g. we dumped boiling water on the
thermometer so we're pretty sure it's 100 degrees C.
Args:
current_times: A [batch size] Tensor of times for the exogenous values
being input.
exogenous_values: A [batch size x exogenous input dimension] Tensor of
exogenous values for each part of the batch.
state: A tuple of (mean, covariance, previous_times) having shapes
mean; [batch size x state dimension]
covariance; [batch size x state dimension x state dimension]
previous_times; [batch size]
Returns:
Updated state taking the exogenous regressors into account (with lower
uncertainty than the input state).
"""
estimated_state, estimated_state_covariance, previous_times = state
state_transition = ops.convert_to_tensor(
self.get_state_transition(), dtype=self.dtype)
state_dimension = state_transition.get_shape()[0].value
# Learning the observation model would be redundant since we transform
# `exogenous_values` to the state space via a linear transformation anyway.
observation_model = linalg_ops.eye(
state_dimension,
batch_shape=array_ops.shape(exogenous_values)[:-1],
dtype=self.dtype)
with variable_scope.variable_scope("exogenous_noise_decreasing_covariance"):
observation_noise = math_utils.transform_to_covariance_matrices(
exogenous_values, state_dimension)
with variable_scope.variable_scope(
"exogenous_noise_decreasing_observation"):
observation = layers.fully_connected(
exogenous_values, state_dimension, activation_fn=None)
# Pretend that we are making an observation with an observation model equal
# to the identity matrix (i.e. a direct observation of the latent state),
# with learned observation noise.
posterior_state, posterior_state_var = (
self._kalman_filter.posterior_from_prior_state(
prior_state=estimated_state,
prior_state_var=estimated_state_covariance,
observation=observation,
observation_model=observation_model,
predicted_observations=(
estimated_state,
# The predicted noise covariance is noise due to current state
# uncertainty plus noise learned based on the exogenous
# observation (a somewhat trivial call to
# self._kalman_filter.observed_from_state has been omitted).
observation_noise + estimated_state_covariance),
observation_noise=observation_noise))
return (posterior_state, posterior_state_var, previous_times)
def _exogenous_noise_increasing(self, current_times, exogenous_values, state):
"""Update state with exogenous regressors, increasing uncertainty.
Adds to the state mean a linear transformation of `exogenous_values`, and
increases uncertainty by constructing a covariance matrix based on
`exogenous_values` and adding it to the state covariance.
This update is useful for modeling changes relative to current state,
e.g. the furnace turned on so the temperature will be increasing at an
additional 1 degree per minute with some uncertainty, this uncertainty being
added to our current uncertainty in the per-minute change in temperature.
Args:
current_times: A [batch size] Tensor of times for the exogenous values
being input.
exogenous_values: A [batch size x exogenous input dimension] Tensor of
exogenous values for each part of the batch.
state: A tuple of (mean, covariance, previous_times) having shapes
mean; [batch size x state dimension]
covariance; [batch size x state dimension x state dimension]
previous_times; [batch size]
Returns:
Updated state taking the exogenous regressors into account (with higher
uncertainty than the input state).
"""
start_mean, start_covariance, previous_times = state
with variable_scope.variable_scope("exogenous_noise_increasing_mean"):
mean_addition = layers.fully_connected(
exogenous_values, start_mean.get_shape()[1].value, activation_fn=None)
state_dimension = start_covariance.get_shape()[1].value
with variable_scope.variable_scope("exogenous_noise_increasing_covariance"):
covariance_addition = (
math_utils.transform_to_covariance_matrices(
exogenous_values, state_dimension))
return (start_mean + mean_addition,
start_covariance + covariance_addition,
previous_times)
def _exogenous_input_step(
self, current_times, current_exogenous_regressors, state):
"""Update state with exogenous regressors.
Allows both increases and decreases in uncertainty.
Args:
current_times: A [batch size] Tensor of times for the exogenous values
being input.
current_exogenous_regressors: A [batch size x exogenous input dimension]
Tensor of exogenous values for each part of the batch.
state: A tuple of (mean, covariance, previous_times) having shapes
mean; [batch size x state dimension]
covariance; [batch size x state dimension x state dimension]
previous_times; [batch size]
Returns:
Updated state taking the exogenous regressors into account.
"""
if self._configuration.exogenous_noise_decreases:
state = self._exogenous_noise_decreasing(
current_times, current_exogenous_regressors, state)
if self._configuration.exogenous_noise_increases:
state = self._exogenous_noise_increasing(
current_times, current_exogenous_regressors, state)
return state
def _loss_additions(self, times, values, mode):
"""Add regularization during training."""
if mode == estimator_lib.ModeKeys.TRAIN:
if (self._input_statistics is not None
and self._configuration.bayesian_prior_weighting):
normalization = 1. / math_ops.cast(
self._input_statistics.total_observation_count, self.dtype)
else:
# If there is no total observation count recorded, or if we are not
# doing a Bayesian prior weighting, assumes/pretends that the full
# dataset size is the window size.
normalization = 1. / math_ops.cast(
array_ops.shape(times)[1], self.dtype)
transition_contribution = ops.convert_to_tensor(
self._configuration.covariance_prior_fn(
self.state_transition_noise_covariance),
dtype=self.dtype)
if (self._configuration.use_observation_noise
and self._observation_noise_covariance is not None):
observation_contribution = ops.convert_to_tensor(
self._configuration.covariance_prior_fn(
self._observation_noise_covariance),
dtype=self.dtype)
regularization_sum = transition_contribution + observation_contribution
else:
regularization_sum = transition_contribution
return -normalization * regularization_sum
else:
return array_ops.zeros([], dtype=self.dtype)
def _variable_observation_transition_tradeoff_log(self):
"""Define a variable to trade off observation and transition noise."""
return variable_scope.get_variable(
name="observation_transition_tradeoff_log_scale",
initializer=constant_op.constant(
-self._configuration.transition_covariance_initial_log_scale_bias,
dtype=self.dtype),
dtype=self.dtype)
def _define_parameters(self, observation_transition_tradeoff_log=None):
"""Define extra model-specific parameters.
Models should wrap any variables defined here in the model's variable scope.
Args:
observation_transition_tradeoff_log: An ensemble-global parameter
controlling the tradeoff between observation noise and transition
noise. If its value is not None, component transition noise should scale
with e^-observation_transition_tradeoff_log.
"""
with variable_scope.variable_scope(self._variable_scope):
# A scalar which allows the optimizer to quickly shift from observation
# noise to transition noise (this value is subtracted from log transition
# noise and added to log observation noise).
if observation_transition_tradeoff_log is None:
self._observation_transition_tradeoff_log_scale = (
self._variable_observation_transition_tradeoff_log())
else:
self._observation_transition_tradeoff_log_scale = (
observation_transition_tradeoff_log)
self.state_transition_noise_covariance = (
self.get_state_transition_noise_covariance())
def _set_input_statistics(self, input_statistics=None):
super(StateSpaceModel, self).initialize_graph(
input_statistics=input_statistics)
def initialize_graph(self, input_statistics=None):
"""Define variables and ops relevant to the top-level model in an ensemble.
For generic model parameters, _define_parameters() is called recursively on
all members of an ensemble.
Args:
input_statistics: A math_utils.InputStatistics object containing input
statistics. If None, data-independent defaults are used, which may
result in longer or unstable training.
"""
self._set_input_statistics(input_statistics=input_statistics)
self._define_parameters()
with variable_scope.variable_scope(self._variable_scope):
self._observation_noise_covariance = ops.convert_to_tensor(
self.get_observation_noise_covariance(), dtype=self.dtype)
self._kalman_filter = kalman_filter.KalmanFilter(dtype=self.dtype)
(self.prior_state_mean,
self.prior_state_var) = self._make_priors()
def _make_priors(self):
"""Creates and returns model priors."""
prior_state_covariance = self.get_prior_covariance()
prior_state_mean = self.get_prior_mean()
return (prior_state_mean, prior_state_covariance)
def get_prior_covariance(self):
"""Constructs a variable prior covariance with data-based initialization.
Models should wrap any variables defined here in the model's variable scope.
Returns:
A two-dimensional [state dimension, state dimension] floating point Tensor
with a (positive definite) prior state covariance matrix.
"""
with variable_scope.variable_scope(self._variable_scope):
state_dimension = ops.convert_to_tensor(
self.get_state_transition()).get_shape()[0].value
if self._configuration.trainable_start_state:
base_covariance = math_utils.variable_covariance_matrix(
state_dimension, "prior_state_var",
dtype=self.dtype)
else:
return linalg_ops.eye(state_dimension, dtype=self.dtype)
if self._input_statistics is not None:
# Make sure initial latent value uncertainty is at least on the same
# scale as noise in the data.
covariance_multiplier = math_ops.reduce_max(
self._input_statistics.series_start_moments.variance)
return base_covariance * gen_math_ops.maximum(
covariance_multiplier, 1.0)
else:
return base_covariance
def get_prior_mean(self):
"""Constructs a Variable-parameterized prior mean.
Models should wrap any variables defined here in the model's variable scope.
Returns:
A one-dimensional floating point Tensor with shape [state dimension]
indicating the prior mean.
"""
with variable_scope.variable_scope(self._variable_scope):
state_transition = ops.convert_to_tensor(
self.get_state_transition(), dtype=self.dtype)
state_dimension = state_transition.get_shape()[0].value
return variable_scope.get_variable(
name="prior_state_mean",
shape=[state_dimension],
dtype=self.dtype,
trainable=self._configuration.trainable_start_state)
# TODO(allenl): It would be nice if the generation were done with TensorFlow
# ops, and if the model parameters were somehow set instead of being passed
# around in a dictionary. Maybe unconditional generation should be through a
# special set of initializers?
def random_model_parameters(self, seed=None):
if self.num_features != 1:
raise NotImplementedError("Generation for multivariate state space models"
" is not currently implemented.")
if seed:
numpy.random.seed(seed)
state_dimension, noise_dimension = ops.convert_to_tensor(
self.get_noise_transform()).get_shape().as_list()
transition_var = 1.0 / numpy.random.gamma(shape=10., scale=10.,
size=[noise_dimension])
initial_state = numpy.random.normal(size=[state_dimension])
params_dict = {}
if self.prior_state_mean is not None:
params_dict[self.prior_state_mean] = initial_state
if self.state_transition_noise_covariance is not None:
params_dict[self.state_transition_noise_covariance] = numpy.diag(
transition_var)
if self.prior_state_var is not None:
params_dict[self.prior_state_var] = numpy.zeros(
[state_dimension, state_dimension])
if self._configuration.use_observation_noise:
observation_var = 1.0 / numpy.random.gamma(shape=4, scale=4)
params_dict[self._observation_noise_covariance] = [[observation_var]]
return params_dict
def generate(self, number_of_series, series_length,
model_parameters=None, seed=None, add_observation_noise=None):
if seed is not None:
numpy.random.seed(seed)
if self.num_features != 1:
raise NotImplementedError("Generation for multivariate state space models"
" is not currently implemented.")
if add_observation_noise is None:
add_observation_noise = self._configuration.use_observation_noise
if model_parameters is None:
model_parameters = {}
transitions = ops.convert_to_tensor(
self.get_state_transition(), dtype=self.dtype).eval(
feed_dict=model_parameters)
noise_transform = ops.convert_to_tensor(self.get_noise_transform()).eval(
feed_dict=model_parameters)
noise_dimension = noise_transform.shape[1]
get_passed_or_trained_value = model_utils.parameter_switch(model_parameters)
transition_var = numpy.diag(get_passed_or_trained_value(
self.state_transition_noise_covariance))
transition_std = numpy.sqrt(transition_var)
if add_observation_noise:
observation_var = get_passed_or_trained_value(
self._observation_noise_covariance)[0][0]
observation_std = numpy.sqrt(observation_var)
initial_state = get_passed_or_trained_value(self.prior_state_mean)
current_state = numpy.tile(numpy.expand_dims(initial_state, 0),
[number_of_series, 1])
observations = numpy.zeros([number_of_series, series_length])
observation_models = self.get_broadcasted_observation_model(
times=math_ops.range(series_length)).eval(feed_dict=model_parameters)
for timestep, observation_model in enumerate(observation_models):
current_state = numpy.dot(current_state, transitions.T)
current_state += numpy.dot(
numpy.random.normal(
loc=numpy.zeros([number_of_series, noise_dimension]),
scale=numpy.tile(numpy.expand_dims(transition_std, 0),
[number_of_series, 1])),
noise_transform.T)
observation_mean = numpy.dot(current_state, observation_model[0].T)
if add_observation_noise:
observations[:, timestep] = numpy.random.normal(loc=observation_mean,
scale=observation_std)
else:
observations[:, timestep] = observation_mean
observations = numpy.expand_dims(observations, -1)
times = numpy.tile(
numpy.expand_dims(numpy.arange(observations.shape[1]), 0),
[observations.shape[0], 1])
return {TrainEvalFeatures.TIMES: times,
TrainEvalFeatures.VALUES: observations}
@abc.abstractmethod
def get_state_transition(self):
"""Specifies the state transition model to use.
Returns:
A [state dimension x state dimension] Tensor specifying how states
transition from one timestep to the next.
"""
pass
@abc.abstractmethod
def get_noise_transform(self):
"""Specifies the noise transition model to use.
Returns:
A [state dimension x state noise dimension] Tensor specifying how noise
(generated with shape [state noise dimension]) affects the model's state.
"""
pass
@abc.abstractmethod
def get_observation_model(self, times):
"""Specifies the observation model to use.
Args:
times: A [batch dimension] int32 Tensor with times for each part of the
batch, on which the observation model can depend.
Returns:
This function, when overridden, has three possible return values:
- A [state dimension] Tensor with a static, univariate observation
model.
- A [self.num_features x state dimension] static, multivariate model.
- A [batch dimension x self.num_features x state dimension] observation
model, which may depend on `times`.
See get_broadcasted_observation_model for details of the broadcasting.
"""
pass
def get_broadcasted_observation_model(self, times):
"""Broadcast this model's observation model if necessary.
The model can define a univariate observation model which will be broadcast
over both self.num_features and the batch dimension of `times`.
The model can define a multi-variate observation model which does not depend
on `times`, and it will be broadcast over the batch dimension of `times`.
Finally, the model can define a multi-variate observation model with a batch
dimension, which will not be broadcast.
Args:
times: A [batch dimension] int32 Tensor with times for each part of the
batch, on which the observation model can depend.
Returns:
A [batch dimension x self.num_features x state dimension] Tensor
specifying the observation model to use for each time in `times` and each
feature.
"""
unbroadcasted_model = ops.convert_to_tensor(
self.get_observation_model(times), dtype=self.dtype)
unbroadcasted_shape = (unbroadcasted_model.get_shape()
.with_rank_at_least(1).with_rank_at_most(3))
if unbroadcasted_shape.ndims is None:
# Pass through fully undefined shapes, but make sure they're rank 3 at
# graph eval time
assert_op = control_flow_ops.Assert(
math_ops.equal(array_ops.rank(unbroadcasted_model), 3),
[array_ops.shape(unbroadcasted_model)])
with ops.control_dependencies([assert_op]):
return array_ops.identity(unbroadcasted_model)
if unbroadcasted_shape.ndims == 1:
# Unbroadcasted shape [state dimension]
broadcasted_model = array_ops.tile(
array_ops.reshape(tensor=unbroadcasted_model, shape=[1, 1, -1]),
[array_ops.shape(times)[0], self.num_features, 1])
elif unbroadcasted_shape.ndims == 2:
# Unbroadcasted shape [num features x state dimension]
broadcasted_model = array_ops.tile(
array_ops.expand_dims(unbroadcasted_model, dim=0),
[array_ops.shape(times)[0], 1, 1])
elif unbroadcasted_shape.ndims == 3:
broadcasted_model = unbroadcasted_model
broadcasted_model.get_shape().assert_has_rank(3)
return broadcasted_model
def get_state_transition_noise_covariance(
self, minimum_initial_variance=1e-5):
state_noise_transform = ops.convert_to_tensor(
self.get_noise_transform(), dtype=self.dtype)
state_noise_dimension = state_noise_transform.get_shape()[1].value
if self._input_statistics is not None:
feature_variance = self._input_statistics.series_start_moments.variance
initial_transition_noise_scale = math_ops.log(
gen_math_ops.maximum(
math_ops.reduce_mean(feature_variance) / math_ops.cast(
self._input_statistics.total_observation_count, self.dtype),
minimum_initial_variance))
else:
initial_transition_noise_scale = 0.
# Generally high transition noise is undesirable; we want to set it quite
# low to start so that we don't need too much training to get to good
# solutions (i.e. with confident predictions into the future if possible),
# but not so low that training can't yield a high transition noise if the
# data demands it.
initial_transition_noise_scale -= (
self._observation_transition_tradeoff_log_scale)
return math_utils.variable_covariance_matrix(
state_noise_dimension, "state_transition_noise",
dtype=self.dtype,
initial_overall_scale_log=initial_transition_noise_scale)
def get_observation_noise_covariance(self, minimum_initial_variance=1e-5):
if self._configuration.use_observation_noise:
if self._input_statistics is not None:
# Get variance across the first few values in each batch for each
# feature, for an initial observation noise (over-)estimate.
feature_variance = self._input_statistics.series_start_moments.variance
else:
feature_variance = None
if feature_variance is not None:
feature_variance = gen_math_ops.maximum(feature_variance,
minimum_initial_variance)
return math_utils.variable_covariance_matrix(
size=self.num_features,
dtype=self.dtype,
name="observation_noise_covariance",
initial_diagonal_values=feature_variance,
initial_overall_scale_log=(
self._observation_transition_tradeoff_log_scale))
else:
return array_ops.zeros(
shape=[self.num_features, self.num_features],
name="observation_noise_covariance",
dtype=self.dtype)
def get_start_state(self):
"""Defines and returns a non-batched prior state and covariance."""
# TODO(allenl,vitalyk): Add an option for non-Gaussian priors once extended
# Kalman filtering is implemented (ideally any Distribution object).
if self._input_statistics is not None:
start_time = self._input_statistics.start_time
else:
start_time = array_ops.zeros([], dtype=dtypes.int64)
return (self.prior_state_mean,
self.prior_state_var,
start_time - 1)
def get_features_for_timesteps(self, timesteps):
"""Get features for a batch of timesteps. Default to no features."""
return array_ops.zeros([array_ops.shape(timesteps)[0], 0], dtype=self.dtype)
class StateSpaceEnsemble(StateSpaceModel):
"""Base class for combinations of state space models."""
def __init__(self, ensemble_members, configuration):
"""Initialize the ensemble by specifying its members.
Args:
ensemble_members: A list of StateSpaceModel objects which will be included
in this ensemble.
configuration: A StateSpaceModelConfiguration object.
"""
self._ensemble_members = ensemble_members
super(StateSpaceEnsemble, self).__init__(configuration=configuration)
def _set_input_statistics(self, input_statistics):
super(StateSpaceEnsemble, self)._set_input_statistics(input_statistics)
for member in self._ensemble_members:
member._set_input_statistics(input_statistics) # pylint: disable=protected-access
def _loss_additions(self, times, values, mode):
# Allow sub-models to regularize
return (super(StateSpaceEnsemble, self)._loss_additions(
times, values, mode) + math_ops.add_n([
member._loss_additions(times, values, mode) # pylint: disable=protected-access
for member in self._ensemble_members
]))
def _compute_blocked(self, member_fn, name):
with variable_scope.variable_scope(self._variable_scope):
return math_utils.block_diagonal(
[member_fn(member)
for member in self._ensemble_members],
dtype=self.dtype,
name=name)
def transition_to_powers(self, powers):
return self._compute_blocked(
member_fn=lambda member: member.transition_to_powers(powers),
name="ensemble_transition_to_powers")
def _define_parameters(self, observation_transition_tradeoff_log=None):
with variable_scope.variable_scope(self._variable_scope):
if observation_transition_tradeoff_log is None:
# Define the tradeoff parameter between observation and transition noise
# once for the whole ensemble, and pass it down to members.
observation_transition_tradeoff_log = (
self._variable_observation_transition_tradeoff_log())
for member in self._ensemble_members:
member._define_parameters(observation_transition_tradeoff_log=( # pylint: disable=protected-access
observation_transition_tradeoff_log))
super(StateSpaceEnsemble, self)._define_parameters(
observation_transition_tradeoff_log
=observation_transition_tradeoff_log)
def random_model_parameters(self, seed=None):
param_union = {}
for i, member in enumerate(self._ensemble_members):
member_params = member.random_model_parameters(
seed=seed + i if seed else None)
param_union.update(member_params)
param_union.update(
super(StateSpaceEnsemble, self).random_model_parameters(seed=seed))
return param_union
def get_prior_mean(self):
return array_ops.concat(
values=[member.get_prior_mean() for member in self._ensemble_members],
axis=0,
name="ensemble_prior_state_mean")
def get_state_transition(self):
return self._compute_blocked(
member_fn=
lambda member: member.get_state_transition(),
name="ensemble_state_transition")
def get_noise_transform(self):
return self._compute_blocked(
member_fn=
lambda member: member.get_noise_transform(),
name="ensemble_noise_transform")
def get_observation_model(self, times):
raise NotImplementedError("No un-broadcasted observation model defined for"
" ensembles.")
def get_broadcasted_observation_model(self, times):
"""Computes a combined observation model based on member models.
The effect is that predicted observations from each model are summed.
Args:
times: A [batch dimension] int32 Tensor with times for each part of the
batch, on which member observation models can depend.
Returns:
A [batch dimension x num features x combined state dimension] Tensor with
the combined observation model.
"""
member_observation_models = [
ops.convert_to_tensor(
member.get_broadcasted_observation_model(times), dtype=self.dtype)
for member in self._ensemble_members
]
return array_ops.concat(values=member_observation_models, axis=2)
class StateSpaceIndependentEnsemble(StateSpaceEnsemble):
"""Implements ensembles of independent state space models.
Useful for fitting multiple independent state space models together while
keeping their specifications decoupled. The "ensemble" is simply a state space
model with the observation models of its members concatenated, and the
transition matrices and noise transforms stacked in block-diagonal
matrices. This means that the dimensionality of the ensemble's state is the
sum of those of its components, which can lead to slow and memory-intensive
training and inference as the posterior (shape [state dimension x state
dimension]) gets large.
Each individual model j's state at time t is defined by:
state[t, j] = StateTransition[j] * state[t-1, j]
+ NoiseTransform[j] * StateNoise[t, j]
StateNoise[t, j] ~ Gaussian(0, StateNoiseCovariance[j])
and the ensemble observation model is:
observation[t] = Sum { ObservationModel[j] * state[t, j] }
+ ObservationNoise[t]
ObservationNoise[t] ~ Gaussian(0, ObservationNoiseCovariance)
"""
def transition_power_noise_accumulator(self, num_steps):
return self._compute_blocked(
member_fn=lambda m: m.transition_power_noise_accumulator(num_steps),
name="ensemble_power_noise_accumulator")
def get_prior_covariance(self):
"""Construct the ensemble prior covariance based on component models."""
return self._compute_blocked(
member_fn=
lambda member: member.get_prior_covariance(),
name="ensemble_prior_state_covariance")
def get_state_transition_noise_covariance(self):
"""Construct the ensemble transition noise covariance from components."""
return self._compute_blocked(
member_fn=
lambda member: member.state_transition_noise_covariance,
name="ensemble_state_transition_noise")
# TODO(allenl): It would be nice to have replicated feature models which are
# identical batched together to reduce the graph size.
# TODO(allenl): Support for sharing M independent models across N features, with
# N > M.
# TODO(allenl): Stack component prior covariances while allowing cross-model
# correlations to be learned (currently a full covariance prior is learned, but
# custom component model covariances are not used).
class StateSpaceCorrelatedFeaturesEnsemble(StateSpaceEnsemble):
"""An correlated ensemble where each model represents a feature.
Unlike `StateSpaceIndependentEnsemble`, a full state transition noise
covariance matrix is learned for this ensemble; the models are not assumed to
be independent. Rather than concatenating observation models (i.e. summing the
contributions of each model to each feature),
StateSpaceCorrelatedFeaturesEnsemble stacks observation models diagonally,
meaning that each model corresponds to one feature of the series.
Behaves like (and is) a single state space model where:
StateTransition = Diag(StateTransition[j] for models j)
ObservationModel = Diag(ObservationModel[j] for models j)
Note that each ObservationModel[j] is a [1 x S_j] matrix (S_j being the state
dimension of model j), i.e. a univariate model. The combined model is
multivariate, the number of features of the series being equal to the number
of component models in the ensemble.
"""
def __init__(self, ensemble_members, configuration):
"""Specify the ensemble's configuration and component models.
Args:
ensemble_members: A list of `StateSpaceModel` objects, with length equal
to `configuration.num_features`. Each of these models, which must be
univariate, corresponds to a single feature of the time series.
configuration: A StateSpaceModelConfiguration object.
Raises:
ValueError: If the length of `ensemble_members` does not equal the number
of features in the series, or any component is not univariate.
"""
if len(ensemble_members) != configuration.num_features:
raise ValueError(
"The number of members in a StateSpaceCorrelatedFeaturesEnsemble "
"must equal the number of features in the time series.")
for member in ensemble_members:
if member.num_features != 1:
raise ValueError(
"StateSpaceCorrelatedFeaturesEnsemble components must be "
"univariate.")
super(StateSpaceCorrelatedFeaturesEnsemble, self).__init__(
ensemble_members=ensemble_members, configuration=configuration)
def transition_power_noise_accumulator(self, num_steps):
"""Use a noise accumulator special case when possible."""
if len(self._ensemble_members) == 1:
# If this is a univariate series, we should use the special casing built
# into the single component model.
return self._ensemble_members[0].transition_power_noise_accumulator(
num_steps=num_steps)
# If we have multiple features, and therefore multiple models, we have
# introduced correlations which make noise accumulation more
# complicated. Here we fall back to the general case, since we can't just
# aggregate member special cases.
return super(StateSpaceCorrelatedFeaturesEnsemble,
self).transition_power_noise_accumulator(num_steps=num_steps)
def get_broadcasted_observation_model(self, times):
"""Stack observation models diagonally."""
def _member_observation_model(member):
return ops.convert_to_tensor(
member.get_broadcasted_observation_model(times), dtype=self.dtype)
return self._compute_blocked(member_fn=_member_observation_model,
name="feature_ensemble_observation_model")
|
apache-2.0
|
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jelugbo/hebs_repo
|
lms/djangoapps/bulk_email/migrations/0001_initial.py
|
182
|
6854
|
# -*- coding: utf-8 -*-
from south.db import db
from south.v2 import SchemaMigration
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'CourseEmail'
db.create_table('bulk_email_courseemail', (
('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('sender', self.gf('django.db.models.fields.related.ForeignKey')(default=1, to=orm['auth.User'], null=True, blank=True)),
('hash', self.gf('django.db.models.fields.CharField')(max_length=128, db_index=True)),
('subject', self.gf('django.db.models.fields.CharField')(max_length=128, blank=True)),
('html_message', self.gf('django.db.models.fields.TextField')(null=True, blank=True)),
('created', self.gf('django.db.models.fields.DateTimeField')(auto_now_add=True, blank=True)),
('modified', self.gf('django.db.models.fields.DateTimeField')(auto_now=True, blank=True)),
('course_id', self.gf('django.db.models.fields.CharField')(max_length=255, db_index=True)),
('to', self.gf('django.db.models.fields.CharField')(default='myself', max_length=64)),
))
db.send_create_signal('bulk_email', ['CourseEmail'])
# Adding model 'Optout'
db.create_table('bulk_email_optout', (
('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('email', self.gf('django.db.models.fields.CharField')(max_length=255, db_index=True)),
('course_id', self.gf('django.db.models.fields.CharField')(max_length=255, db_index=True)),
))
db.send_create_signal('bulk_email', ['Optout'])
# Adding unique constraint on 'Optout', fields ['email', 'course_id']
db.create_unique('bulk_email_optout', ['email', 'course_id'])
def backwards(self, orm):
# Removing unique constraint on 'Optout', fields ['email', 'course_id']
db.delete_unique('bulk_email_optout', ['email', 'course_id'])
# Deleting model 'CourseEmail'
db.delete_table('bulk_email_courseemail')
# Deleting model 'Optout'
db.delete_table('bulk_email_optout')
models = {
'auth.group': {
'Meta': {'object_name': 'Group'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '80'}),
'permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'})
},
'auth.permission': {
'Meta': {'ordering': "('content_type__app_label', 'content_type__model', 'codename')", 'unique_together': "(('content_type', 'codename'),)", 'object_name': 'Permission'},
'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['contenttypes.ContentType']"}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '50'})
},
'auth.user': {
'Meta': {'object_name': 'User'},
'date_joined': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}),
'first_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'groups': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Group']", 'symmetrical': 'False', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'is_staff': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'is_superuser': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'last_login': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'last_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'password': ('django.db.models.fields.CharField', [], {'max_length': '128'}),
'user_permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}),
'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'})
},
'bulk_email.courseemail': {
'Meta': {'object_name': 'CourseEmail'},
'course_id': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}),
'created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'hash': ('django.db.models.fields.CharField', [], {'max_length': '128', 'db_index': 'True'}),
'html_message': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'modified': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'}),
'sender': ('django.db.models.fields.related.ForeignKey', [], {'default': '1', 'to': "orm['auth.User']", 'null': 'True', 'blank': 'True'}),
'subject': ('django.db.models.fields.CharField', [], {'max_length': '128', 'blank': 'True'}),
'to': ('django.db.models.fields.CharField', [], {'default': "'myself'", 'max_length': '64'})
},
'bulk_email.optout': {
'Meta': {'unique_together': "(('email', 'course_id'),)", 'object_name': 'Optout'},
'course_id': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}),
'email': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'})
},
'contenttypes.contenttype': {
'Meta': {'ordering': "('name',)", 'unique_together': "(('app_label', 'model'),)", 'object_name': 'ContentType', 'db_table': "'django_content_type'"},
'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '100'})
}
}
complete_apps = ['bulk_email']
|
agpl-3.0
|
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] |
linhdh/SnakeRepellerOnMbed50
|
mbed-os/tools/export/qtcreator/__init__.py
|
21
|
2260
|
"""
mbed SDK
Copyright (c) 2014-2017 ARM Limited
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 os.path import splitext, basename
from tools.targets import TARGET_MAP
from tools.export.exporters import Exporter
from tools.export.makefile import GccArm
class QtCreator(GccArm):
NAME = 'QtCreator'
MBED_CONFIG_HEADER_SUPPORTED = True
def generate(self):
self.resources.win_to_unix()
defines = [] # list of tuples ('D'/'U', [key, value]) (value is optional)
forced_includes = [] # list of strings
sources = [] # list of strings
include_paths = [] # list of strings
next_is_include = False
for f in self.flags['c_flags'] + self.flags['cxx_flags']:
f=f.strip()
if next_is_include:
forced_includes.append(f)
next_is_include = False
continue
if f.startswith('-D'):
defines.append(('D', f[2:].split('=', 1)))
elif f.startswith('-U'):
defines.append(('U', [f[2:]]))
elif f == "-include":
next_is_include = True
for r_type in ['headers', 'c_sources', 's_sources', 'cpp_sources']:
sources.extend(getattr(self.resources, r_type))
include_paths = self.resources.inc_dirs
ctx = {
'defines': defines,
'forced_includes': forced_includes,
'sources': sources,
'include_paths': self.resources.inc_dirs
}
for ext in ['creator', 'files', 'includes', 'config']:
self.gen_file('qtcreator/%s.tmpl' % ext, ctx, "%s.%s" % (self.project_name, ext))
# finally, generate the Makefile
super(QtCreator, self).generate()
|
gpl-2.0
|
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] |
laborautonomo/poedit
|
deps/boost/tools/build/v2/tools/gcc.py
|
15
|
38213
|
# Status: being ported by Steven Watanabe
# Base revision: 47077
# TODO: common.jam needs to be ported
# TODO: generators.jam needs to have register_c_compiler.
#
# Copyright 2001 David Abrahams.
# Copyright 2002-2006 Rene Rivera.
# Copyright 2002-2003 Vladimir Prus.
# Copyright (c) 2005 Reece H. Dunn.
# Copyright 2006 Ilya Sokolov.
# Copyright 2007 Roland Schwarz
# Copyright 2007 Boris Gubenko.
# Copyright 2008 Steven Watanabe
#
# Distributed under the Boost Software License, Version 1.0.
# (See accompanying file LICENSE_1_0.txt or copy at
# http://www.boost.org/LICENSE_1_0.txt)
import os
import subprocess
import re
import bjam
from b2.tools import unix, common, rc, pch, builtin
from b2.build import feature, type, toolset, generators, property_set
from b2.build.property import Property
from b2.util.utility import os_name, on_windows
from b2.manager import get_manager
from b2.build.generators import Generator
from b2.build.toolset import flags
from b2.util.utility import to_seq
__debug = None
def debug():
global __debug
if __debug is None:
__debug = "--debug-configuration" in bjam.variable("ARGV")
return __debug
feature.extend('toolset', ['gcc'])
toolset.inherit_generators('gcc', [], 'unix', ['unix.link', 'unix.link.dll'])
toolset.inherit_flags('gcc', 'unix')
toolset.inherit_rules('gcc', 'unix')
generators.override('gcc.prebuilt', 'builtin.prebuilt')
generators.override('gcc.searched-lib-generator', 'searched-lib-generator')
# Target naming is determined by types/lib.jam and the settings below this
# comment.
#
# On *nix:
# libxxx.a static library
# libxxx.so shared library
#
# On windows (mingw):
# libxxx.lib static library
# xxx.dll DLL
# xxx.lib import library
#
# On windows (cygwin) i.e. <target-os>cygwin
# libxxx.a static library
# xxx.dll DLL
# libxxx.dll.a import library
#
# Note: user can always override by using the <tag>@rule
# This settings have been choosen, so that mingw
# is in line with msvc naming conventions. For
# cygwin the cygwin naming convention has been choosen.
# Make the "o" suffix used for gcc toolset on all
# platforms
type.set_generated_target_suffix('OBJ', ['<toolset>gcc'], 'o')
type.set_generated_target_suffix('STATIC_LIB', ['<toolset>gcc', '<target-os>cygwin'], 'a')
type.set_generated_target_suffix('IMPORT_LIB', ['<toolset>gcc', '<target-os>cygwin'], 'dll.a')
type.set_generated_target_prefix('IMPORT_LIB', ['<toolset>gcc', '<target-os>cygwin'], 'lib')
__machine_match = re.compile('^([^ ]+)')
__version_match = re.compile('^([0-9.]+)')
def init(version = None, command = None, options = None):
"""
Initializes the gcc toolset for the given version. If necessary, command may
be used to specify where the compiler is located. The parameter 'options' is a
space-delimited list of options, each one specified as
<option-name>option-value. Valid option names are: cxxflags, linkflags and
linker-type. Accepted linker-type values are gnu, darwin, osf, hpux or sun
and the default value will be selected based on the current OS.
Example:
using gcc : 3.4 : : <cxxflags>foo <linkflags>bar <linker-type>sun ;
"""
options = to_seq(options)
command = to_seq(command)
# Information about the gcc command...
# The command.
command = to_seq(common.get_invocation_command('gcc', 'g++', command))
# The root directory of the tool install.
root = feature.get_values('<root>', options) ;
# The bin directory where to find the command to execute.
bin = None
# The flavor of compiler.
flavor = feature.get_values('<flavor>', options)
# Autodetect the root and bin dir if not given.
if command:
if not bin:
bin = common.get_absolute_tool_path(command[-1])
if not root:
root = os.path.dirname(bin)
# Autodetect the version and flavor if not given.
if command:
machine_info = subprocess.Popen(command + ['-dumpmachine'], stdout=subprocess.PIPE).communicate()[0]
machine = __machine_match.search(machine_info).group(1)
version_info = subprocess.Popen(command + ['-dumpversion'], stdout=subprocess.PIPE).communicate()[0]
version = __version_match.search(version_info).group(1)
if not flavor and machine.find('mingw') != -1:
flavor = 'mingw'
condition = None
if flavor:
condition = common.check_init_parameters('gcc', None,
('version', version),
('flavor', flavor))
else:
condition = common.check_init_parameters('gcc', None,
('version', version))
if command:
command = command[0]
common.handle_options('gcc', condition, command, options)
linker = feature.get_values('<linker-type>', options)
if not linker:
if os_name() == 'OSF':
linker = 'osf'
elif os_name() == 'HPUX':
linker = 'hpux' ;
else:
linker = 'gnu'
init_link_flags('gcc', linker, condition)
# If gcc is installed in non-standard location, we'd need to add
# LD_LIBRARY_PATH when running programs created with it (for unit-test/run
# rules).
if command:
# On multilib 64-bit boxes, there are both 32-bit and 64-bit libraries
# and all must be added to LD_LIBRARY_PATH. The linker will pick the
# right onces. Note that we don't provide a clean way to build 32-bit
# binary with 64-bit compiler, but user can always pass -m32 manually.
lib_path = [os.path.join(root, 'bin'),
os.path.join(root, 'lib'),
os.path.join(root, 'lib32'),
os.path.join(root, 'lib64')]
if debug():
print 'notice: using gcc libraries ::', condition, '::', lib_path
toolset.flags('gcc.link', 'RUN_PATH', condition, lib_path)
# If it's not a system gcc install we should adjust the various programs as
# needed to prefer using the install specific versions. This is essential
# for correct use of MinGW and for cross-compiling.
# - The archive builder.
archiver = common.get_invocation_command('gcc',
'ar', feature.get_values('<archiver>', options), [bin], path_last=True)
toolset.flags('gcc.archive', '.AR', condition, [archiver])
if debug():
print 'notice: using gcc archiver ::', condition, '::', archiver
# - The resource compiler.
rc_command = common.get_invocation_command_nodefault('gcc',
'windres', feature.get_values('<rc>', options), [bin], path_last=True)
rc_type = feature.get_values('<rc-type>', options)
if not rc_type:
rc_type = 'windres'
if not rc_command:
# If we can't find an RC compiler we fallback to a null RC compiler that
# creates empty object files. This allows the same Jamfiles to work
# across the board. The null RC uses the assembler to create the empty
# objects, so configure that.
rc_command = common.get_invocation_command('gcc', 'as', [], [bin], path_last=True)
rc_type = 'null'
rc.configure(rc_command, condition, '<rc-type>' + rc_type)
###if [ os.name ] = NT
###{
### # This causes single-line command invocation to not go through .bat files,
### # thus avoiding command-line length limitations.
### JAMSHELL = % ;
###}
#FIXME: when register_c_compiler is moved to
# generators, these should be updated
builtin.register_c_compiler('gcc.compile.c++', ['CPP'], ['OBJ'], ['<toolset>gcc'])
builtin.register_c_compiler('gcc.compile.c', ['C'], ['OBJ'], ['<toolset>gcc'])
builtin.register_c_compiler('gcc.compile.asm', ['ASM'], ['OBJ'], ['<toolset>gcc'])
# pch support
# The compiler looks for a precompiled header in each directory just before it
# looks for the include file in that directory. The name searched for is the
# name specified in the #include directive with ".gch" suffix appended. The
# logic in gcc-pch-generator will make sure that BASE_PCH suffix is appended to
# full name of the header.
type.set_generated_target_suffix('PCH', ['<toolset>gcc'], 'gch')
# GCC-specific pch generator.
class GccPchGenerator(pch.PchGenerator):
# Inherit the __init__ method
def run_pch(self, project, name, prop_set, sources):
# Find the header in sources. Ignore any CPP sources.
header = None
for s in sources:
if type.is_derived(s.type(), 'H'):
header = s
# Error handling: Base header file name should be the same as the base
# precompiled header name.
header_name = header.name()
header_basename = os.path.basename(header_name).rsplit('.', 1)[0]
if header_basename != name:
location = project.project_module
###FIXME:
raise Exception()
### errors.user-error "in" $(location)": pch target name `"$(name)"' should be the same as the base name of header file `"$(header-name)"'" ;
pch_file = Generator.run(self, project, name, prop_set, [header])
# return result of base class and pch-file property as usage-requirements
# FIXME: what about multiple results from generator.run?
return (property_set.create([Property('pch-file', pch_file[0]),
Property('cflags', '-Winvalid-pch')]),
pch_file)
# Calls the base version specifying source's name as the name of the created
# target. As result, the PCH will be named whatever.hpp.gch, and not
# whatever.gch.
def generated_targets(self, sources, prop_set, project, name = None):
name = sources[0].name()
return Generator.generated_targets(self, sources,
prop_set, project, name)
# Note: the 'H' source type will catch both '.h' header and '.hpp' header. The
# latter have HPP type, but HPP type is derived from H. The type of compilation
# is determined entirely by the destination type.
generators.register(GccPchGenerator('gcc.compile.c.pch', False, ['H'], ['C_PCH'], ['<pch>on', '<toolset>gcc' ]))
generators.register(GccPchGenerator('gcc.compile.c++.pch', False, ['H'], ['CPP_PCH'], ['<pch>on', '<toolset>gcc' ]))
# Override default do-nothing generators.
generators.override('gcc.compile.c.pch', 'pch.default-c-pch-generator')
generators.override('gcc.compile.c++.pch', 'pch.default-cpp-pch-generator')
flags('gcc.compile', 'PCH_FILE', ['<pch>on'], ['<pch-file>'])
# Declare flags and action for compilation
flags('gcc.compile', 'OPTIONS', ['<optimization>off'], ['-O0'])
flags('gcc.compile', 'OPTIONS', ['<optimization>speed'], ['-O3'])
flags('gcc.compile', 'OPTIONS', ['<optimization>space'], ['-Os'])
flags('gcc.compile', 'OPTIONS', ['<inlining>off'], ['-fno-inline'])
flags('gcc.compile', 'OPTIONS', ['<inlining>on'], ['-Wno-inline'])
flags('gcc.compile', 'OPTIONS', ['<inlining>full'], ['-finline-functions', '-Wno-inline'])
flags('gcc.compile', 'OPTIONS', ['<warnings>off'], ['-w'])
flags('gcc.compile', 'OPTIONS', ['<warnings>on'], ['-Wall'])
flags('gcc.compile', 'OPTIONS', ['<warnings>all'], ['-Wall', '-pedantic'])
flags('gcc.compile', 'OPTIONS', ['<warnings-as-errors>on'], ['-Werror'])
flags('gcc.compile', 'OPTIONS', ['<debug-symbols>on'], ['-g'])
flags('gcc.compile', 'OPTIONS', ['<profiling>on'], ['-pg'])
flags('gcc.compile.c++', 'OPTIONS', ['<rtti>off'], ['-fno-rtti'])
flags('gcc.compile.c++', 'OPTIONS', ['<exception-handling>off'], ['-fno-exceptions'])
# On cygwin and mingw, gcc generates position independent code by default, and
# warns if -fPIC is specified. This might not be the right way of checking if
# we're using cygwin. For example, it's possible to run cygwin gcc from NT
# shell, or using crosscompiling. But we'll solve that problem when it's time.
# In that case we'll just add another parameter to 'init' and move this login
# inside 'init'.
if not os_name () in ['CYGWIN', 'NT']:
# This logic will add -fPIC for all compilations:
#
# lib a : a.cpp b ;
# obj b : b.cpp ;
# exe c : c.cpp a d ;
# obj d : d.cpp ;
#
# This all is fine, except that 'd' will be compiled with -fPIC even though
# it's not needed, as 'd' is used only in exe. However, it's hard to detect
# where a target is going to be used. Alternative, we can set -fPIC only
# when main target type is LIB but than 'b' will be compiled without -fPIC.
# In x86-64 that will lead to link errors. So, compile everything with
# -fPIC.
#
# Yet another alternative would be to create propagated <sharedable>
# feature, and set it when building shared libraries, but that's hard to
# implement and will increase target path length even more.
flags('gcc.compile', 'OPTIONS', ['<link>shared'], ['-fPIC'])
if os_name() != 'NT' and os_name() != 'OSF' and os_name() != 'HPUX':
# OSF does have an option called -soname but it doesn't seem to work as
# expected, therefore it has been disabled.
HAVE_SONAME = ''
SONAME_OPTION = '-h'
flags('gcc.compile', 'USER_OPTIONS', [], ['<cflags>'])
flags('gcc.compile.c++', 'USER_OPTIONS',[], ['<cxxflags>'])
flags('gcc.compile', 'DEFINES', [], ['<define>'])
flags('gcc.compile', 'INCLUDES', [], ['<include>'])
engine = get_manager().engine()
engine.register_action('gcc.compile.c++.pch',
'"$(CONFIG_COMMAND)" -x c++-header $(OPTIONS) -D$(DEFINES) -I"$(INCLUDES)" -c -o "$(<)" "$(>)"')
engine.register_action('gcc.compile.c.pch',
'"$(CONFIG_COMMAND)" -x c-header $(OPTIONS) -D$(DEFINES) -I"$(INCLUDES)" -c -o "$(<)" "$(>)"')
def gcc_compile_cpp(targets, sources, properties):
# Some extensions are compiled as C++ by default. For others, we need to
# pass -x c++. We could always pass -x c++ but distcc does not work with it.
extension = os.path.splitext (sources [0]) [1]
lang = ''
if not extension in ['.cc', '.cp', '.cxx', '.cpp', '.c++', '.C']:
lang = '-x c++'
get_manager().engine().set_target_variable (targets, 'LANG', lang)
engine.add_dependency(targets, bjam.call('get-target-variable', targets, 'PCH_FILE'))
def gcc_compile_c(targets, sources, properties):
engine = get_manager().engine()
# If we use the name g++ then default file suffix -> language mapping does
# not work. So have to pass -x option. Maybe, we can work around this by
# allowing the user to specify both C and C++ compiler names.
#if $(>:S) != .c
#{
engine.set_target_variable (targets, 'LANG', '-x c')
#}
engine.add_dependency(targets, bjam.call('get-target-variable', targets, 'PCH_FILE'))
engine.register_action(
'gcc.compile.c++',
'"$(CONFIG_COMMAND)" $(LANG) -ftemplate-depth-128 $(OPTIONS) ' +
'$(USER_OPTIONS) -D$(DEFINES) -I"$(PCH_FILE:D)" -I"$(INCLUDES)" ' +
'-c -o "$(<:W)" "$(>:W)"',
function=gcc_compile_cpp,
bound_list=['PCH_FILE'])
engine.register_action(
'gcc.compile.c',
'"$(CONFIG_COMMAND)" $(LANG) $(OPTIONS) $(USER_OPTIONS) -D$(DEFINES) ' +
'-I"$(PCH_FILE:D)" -I"$(INCLUDES)" -c -o "$(<)" "$(>)"',
function=gcc_compile_c,
bound_list=['PCH_FILE'])
def gcc_compile_asm(targets, sources, properties):
get_manager().engine().set_target_variable(targets, 'LANG', '-x assembler-with-cpp')
engine.register_action(
'gcc.compile.asm',
'"$(CONFIG_COMMAND)" $(LANG) $(OPTIONS) -D$(DEFINES) -I"$(INCLUDES)" -c -o "$(<)" "$(>)"',
function=gcc_compile_asm)
class GccLinkingGenerator(unix.UnixLinkingGenerator):
"""
The class which check that we don't try to use the <runtime-link>static
property while creating or using shared library, since it's not supported by
gcc/libc.
"""
def run(self, project, name, ps, sources):
# TODO: Replace this with the use of a target-os property.
no_static_link = False
if bjam.variable('UNIX'):
no_static_link = True;
##FIXME: what does this mean?
## {
## switch [ modules.peek : JAMUNAME ]
## {
## case * : no-static-link = true ;
## }
## }
reason = None
if no_static_link and ps.get('runtime-link') == 'static':
if ps.get('link') == 'shared':
reason = "On gcc, DLL can't be build with '<runtime-link>static'."
elif type.is_derived(self.target_types[0], 'EXE'):
for s in sources:
source_type = s.type()
if source_type and type.is_derived(source_type, 'SHARED_LIB'):
reason = "On gcc, using DLLS together with the " +\
"<runtime-link>static options is not possible "
if reason:
print 'warning:', reason
print 'warning:',\
"It is suggested to use '<runtime-link>static' together",\
"with '<link>static'." ;
return
else:
generated_targets = unix.UnixLinkingGenerator.run(self, project,
name, ps, sources)
return generated_targets
if on_windows():
flags('gcc.link.dll', '.IMPLIB-COMMAND', [], ['-Wl,--out-implib,'])
generators.register(
GccLinkingGenerator('gcc.link', True,
['OBJ', 'SEARCHED_LIB', 'STATIC_LIB', 'IMPORT_LIB'],
[ 'EXE' ],
[ '<toolset>gcc' ]))
generators.register(
GccLinkingGenerator('gcc.link.dll', True,
['OBJ', 'SEARCHED_LIB', 'STATIC_LIB', 'IMPORT_LIB'],
['IMPORT_LIB', 'SHARED_LIB'],
['<toolset>gcc']))
else:
generators.register(
GccLinkingGenerator('gcc.link', True,
['LIB', 'OBJ'],
['EXE'],
['<toolset>gcc']))
generators.register(
GccLinkingGenerator('gcc.link.dll', True,
['LIB', 'OBJ'],
['SHARED_LIB'],
['<toolset>gcc']))
# Declare flags for linking.
# First, the common flags.
flags('gcc.link', 'OPTIONS', ['<debug-symbols>on'], ['-g'])
flags('gcc.link', 'OPTIONS', ['<profiling>on'], ['-pg'])
flags('gcc.link', 'USER_OPTIONS', [], ['<linkflags>'])
flags('gcc.link', 'LINKPATH', [], ['<library-path>'])
flags('gcc.link', 'FINDLIBS-ST', [], ['<find-static-library>'])
flags('gcc.link', 'FINDLIBS-SA', [], ['<find-shared-library>'])
flags('gcc.link', 'LIBRARIES', [], ['<library-file>'])
# For <runtime-link>static we made sure there are no dynamic libraries in the
# link. On HP-UX not all system libraries exist as archived libraries (for
# example, there is no libunwind.a), so, on this platform, the -static option
# cannot be specified.
if os_name() != 'HPUX':
flags('gcc.link', 'OPTIONS', ['<runtime-link>static'], ['-static'])
# Now, the vendor specific flags.
# The parameter linker can be either gnu, darwin, osf, hpux or sun.
def init_link_flags(toolset, linker, condition):
"""
Now, the vendor specific flags.
The parameter linker can be either gnu, darwin, osf, hpux or sun.
"""
toolset_link = toolset + '.link'
if linker == 'gnu':
# Strip the binary when no debugging is needed. We use --strip-all flag
# as opposed to -s since icc (intel's compiler) is generally
# option-compatible with and inherits from the gcc toolset, but does not
# support -s.
# FIXME: what does unchecked translate to?
flags(toolset_link, 'OPTIONS', map(lambda x: x + '/<debug-symbols>off', condition), ['-Wl,--strip-all']) # : unchecked ;
flags(toolset_link, 'RPATH', condition, ['<dll-path>']) # : unchecked ;
flags(toolset_link, 'RPATH_LINK', condition, ['<xdll-path>']) # : unchecked ;
flags(toolset_link, 'START-GROUP', condition, ['-Wl,--start-group'])# : unchecked ;
flags(toolset_link, 'END-GROUP', condition, ['-Wl,--end-group']) # : unchecked ;
# gnu ld has the ability to change the search behaviour for libraries
# referenced by -l switch. These modifiers are -Bstatic and -Bdynamic
# and change search for -l switches that follow them. The following list
# shows the tried variants.
# The search stops at the first variant that has a match.
# *nix: -Bstatic -lxxx
# libxxx.a
#
# *nix: -Bdynamic -lxxx
# libxxx.so
# libxxx.a
#
# windows (mingw,cygwin) -Bstatic -lxxx
# libxxx.a
# xxx.lib
#
# windows (mingw,cygwin) -Bdynamic -lxxx
# libxxx.dll.a
# xxx.dll.a
# libxxx.a
# xxx.lib
# cygxxx.dll (*)
# libxxx.dll
# xxx.dll
# libxxx.a
#
# (*) This is for cygwin
# Please note that -Bstatic and -Bdynamic are not a guarantee that a
# static or dynamic lib indeed gets linked in. The switches only change
# search patterns!
# On *nix mixing shared libs with static runtime is not a good idea.
flags(toolset_link, 'FINDLIBS-ST-PFX',
map(lambda x: x + '/<runtime-link>shared', condition),
['-Wl,-Bstatic']) # : unchecked ;
flags(toolset_link, 'FINDLIBS-SA-PFX',
map(lambda x: x + '/<runtime-link>shared', condition),
['-Wl,-Bdynamic']) # : unchecked ;
# On windows allow mixing of static and dynamic libs with static
# runtime.
flags(toolset_link, 'FINDLIBS-ST-PFX',
map(lambda x: x + '/<runtime-link>static/<target-os>windows', condition),
['-Wl,-Bstatic']) # : unchecked ;
flags(toolset_link, 'FINDLIBS-SA-PFX',
map(lambda x: x + '/<runtime-link>static/<target-os>windows', condition),
['-Wl,-Bdynamic']) # : unchecked ;
flags(toolset_link, 'OPTIONS',
map(lambda x: x + '/<runtime-link>static/<target-os>windows', condition),
['-Wl,-Bstatic']) # : unchecked ;
elif linker == 'darwin':
# On Darwin, the -s option to ld does not work unless we pass -static,
# and passing -static unconditionally is a bad idea. So, don't pass -s.
# at all, darwin.jam will use separate 'strip' invocation.
flags(toolset_link, 'RPATH', condition, ['<dll-path>']) # : unchecked ;
flags(toolset_link, 'RPATH_LINK', condition, ['<xdll-path>']) # : unchecked ;
elif linker == 'osf':
# No --strip-all, just -s.
flags(toolset_link, 'OPTIONS', map(lambda x: x + '/<debug-symbols>off', condition), ['-Wl,-s'])
# : unchecked ;
flags(toolset_link, 'RPATH', condition, ['<dll-path>']) # : unchecked ;
# This does not supports -R.
flags(toolset_link, 'RPATH_OPTION', condition, ['-rpath']) # : unchecked ;
# -rpath-link is not supported at all.
elif linker == 'sun':
flags(toolset_link, 'OPTIONS', map(lambda x: x + '/<debug-symbols>off', condition), ['-Wl,-s'])
# : unchecked ;
flags(toolset_link, 'RPATH', condition, ['<dll-path>']) # : unchecked ;
# Solaris linker does not have a separate -rpath-link, but allows to use
# -L for the same purpose.
flags(toolset_link, 'LINKPATH', condition, ['<xdll-path>']) # : unchecked ;
# This permits shared libraries with non-PIC code on Solaris.
# VP, 2004/09/07: Now that we have -fPIC hardcode in link.dll, the
# following is not needed. Whether -fPIC should be hardcoded, is a
# separate question.
# AH, 2004/10/16: it is still necessary because some tests link against
# static libraries that were compiled without PIC.
flags(toolset_link, 'OPTIONS', map(lambda x: x + '/<link>shared', condition), ['-mimpure-text'])
# : unchecked ;
elif linker == 'hpux':
flags(toolset_link, 'OPTIONS', map(lambda x: x + '/<debug-symbols>off', condition),
['-Wl,-s']) # : unchecked ;
flags(toolset_link, 'OPTIONS', map(lambda x: x + '/<link>shared', condition),
['-fPIC']) # : unchecked ;
else:
# FIXME:
errors.user_error(
"$(toolset) initialization: invalid linker '$(linker)' " +
"The value '$(linker)' specified for <linker> is not recognized. " +
"Possible values are 'gnu', 'darwin', 'osf', 'hpux' or 'sun'")
# Declare actions for linking.
def gcc_link(targets, sources, properties):
engine = get_manager().engine()
engine.set_target_variable(targets, 'SPACE', ' ')
# Serialize execution of the 'link' action, since running N links in
# parallel is just slower. For now, serialize only gcc links, it might be a
# good idea to serialize all links.
engine.set_target_variable(targets, 'JAM_SEMAPHORE', '<s>gcc-link-semaphore')
engine.register_action(
'gcc.link',
'"$(CONFIG_COMMAND)" -L"$(LINKPATH)" ' +
'-Wl,$(RPATH_OPTION:E=-R)$(SPACE)-Wl,"$(RPATH)" ' +
'-Wl,-rpath-link$(SPACE)-Wl,"$(RPATH_LINK)" -o "$(<)" ' +
'$(START-GROUP) "$(>)" "$(LIBRARIES)" $(FINDLIBS-ST-PFX) ' +
'-l$(FINDLIBS-ST) $(FINDLIBS-SA-PFX) -l$(FINDLIBS-SA) $(END-GROUP) ' +
'$(OPTIONS) $(USER_OPTIONS)',
function=gcc_link,
bound_list=['LIBRARIES'])
# Default value. Mostly for the sake of intel-linux that inherits from gcc, but
# does not have the same logic to set the .AR variable. We can put the same
# logic in intel-linux, but that's hardly worth the trouble as on Linux, 'ar' is
# always available.
__AR = 'ar'
flags('gcc.archive', 'AROPTIONS', [], ['<archiveflags>'])
def gcc_archive(targets, sources, properties):
# Always remove archive and start again. Here's rationale from
#
# Andre Hentz:
#
# I had a file, say a1.c, that was included into liba.a. I moved a1.c to
# a2.c, updated my Jamfiles and rebuilt. My program was crashing with absurd
# errors. After some debugging I traced it back to the fact that a1.o was
# *still* in liba.a
#
# Rene Rivera:
#
# Originally removing the archive was done by splicing an RM onto the
# archive action. That makes archives fail to build on NT when they have
# many files because it will no longer execute the action directly and blow
# the line length limit. Instead we remove the file in a different action,
# just before building the archive.
clean = targets[0] + '(clean)'
bjam.call('TEMPORARY', clean)
bjam.call('NOCARE', clean)
engine = get_manager().engine()
engine.set_target_variable('LOCATE', clean, bjam.call('get-target-variable', targets, 'LOCATE'))
engine.add_dependency(clean, sources)
engine.add_dependency(targets, clean)
engine.set_update_action('common.RmTemps', clean, targets)
# Declare action for creating static libraries.
# The letter 'r' means to add files to the archive with replacement. Since we
# remove archive, we don't care about replacement, but there's no option "add
# without replacement".
# The letter 'c' suppresses the warning in case the archive does not exists yet.
# That warning is produced only on some platforms, for whatever reasons.
engine.register_action('gcc.archive',
'"$(.AR)" $(AROPTIONS) rc "$(<)" "$(>)"',
function=gcc_archive,
flags=['piecemeal'])
def gcc_link_dll(targets, sources, properties):
engine = get_manager().engine()
engine.set_target_variable(targets, 'SPACE', ' ')
engine.set_target_variable(targets, 'JAM_SEMAPHORE', '<s>gcc-link-semaphore')
engine.set_target_variable(targets, "HAVE_SONAME", HAVE_SONAME)
engine.set_target_variable(targets, "SONAME_OPTION", SONAME_OPTION)
engine.register_action(
'gcc.link.dll',
# Differ from 'link' above only by -shared.
'"$(CONFIG_COMMAND)" -L"$(LINKPATH)" ' +
'-Wl,$(RPATH_OPTION:E=-R)$(SPACE)-Wl,"$(RPATH)" ' +
'"$(.IMPLIB-COMMAND)$(<[1])" -o "$(<[-1])" ' +
'$(HAVE_SONAME)-Wl,$(SONAME_OPTION)$(SPACE)-Wl,$(<[-1]:D=) ' +
'-shared $(START-GROUP) "$(>)" "$(LIBRARIES)" $(FINDLIBS-ST-PFX) ' +
'-l$(FINDLIBS-ST) $(FINDLIBS-SA-PFX) -l$(FINDLIBS-SA) $(END-GROUP) ' +
'$(OPTIONS) $(USER_OPTIONS)',
function = gcc_link_dll,
bound_list=['LIBRARIES'])
# Set up threading support. It's somewhat contrived, so perform it at the end,
# to avoid cluttering other code.
if on_windows():
flags('gcc', 'OPTIONS', ['<threading>multi'], ['-mthreads'])
elif bjam.variable('UNIX'):
jamuname = bjam.variable('JAMUNAME')
host_os_name = jamuname[0]
if host_os_name.startswith('SunOS'):
flags('gcc', 'OPTIONS', ['<threading>multi'], ['-pthreads'])
flags('gcc', 'FINDLIBS-SA', [], ['rt'])
elif host_os_name == 'BeOS':
# BeOS has no threading options, don't set anything here.
pass
elif host_os_name.endswith('BSD'):
flags('gcc', 'OPTIONS', ['<threading>multi'], ['-pthread'])
# there is no -lrt on BSD
elif host_os_name == 'DragonFly':
flags('gcc', 'OPTIONS', ['<threading>multi'], ['-pthread'])
# there is no -lrt on BSD - DragonFly is a FreeBSD variant,
# which anoyingly doesn't say it's a *BSD.
elif host_os_name == 'IRIX':
# gcc on IRIX does not support multi-threading, don't set anything here.
pass
elif host_os_name == 'Darwin':
# Darwin has no threading options, don't set anything here.
pass
else:
flags('gcc', 'OPTIONS', ['<threading>multi'], ['-pthread'])
flags('gcc', 'FINDLIBS-SA', [], ['rt'])
def cpu_flags(toolset, variable, architecture, instruction_set, values, default=None):
#FIXME: for some reason this fails. Probably out of date feature code
## if default:
## flags(toolset, variable,
## ['<architecture>' + architecture + '/<instruction-set>'],
## values)
flags(toolset, variable,
#FIXME: same as above
[##'<architecture>/<instruction-set>' + instruction_set,
'<architecture>' + architecture + '/<instruction-set>' + instruction_set],
values)
# Set architecture/instruction-set options.
#
# x86 and compatible
flags('gcc', 'OPTIONS', ['<architecture>x86/<address-model>32'], ['-m32'])
flags('gcc', 'OPTIONS', ['<architecture>x86/<address-model>64'], ['-m64'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'native', ['-march=native'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'i486', ['-march=i486'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'i586', ['-march=i586'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'i686', ['-march=i686'], default=True)
cpu_flags('gcc', 'OPTIONS', 'x86', 'pentium', ['-march=pentium'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'pentium-mmx', ['-march=pentium-mmx'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'pentiumpro', ['-march=pentiumpro'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'pentium2', ['-march=pentium2'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'pentium3', ['-march=pentium3'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'pentium3m', ['-march=pentium3m'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'pentium-m', ['-march=pentium-m'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'pentium4', ['-march=pentium4'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'pentium4m', ['-march=pentium4m'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'prescott', ['-march=prescott'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'nocona', ['-march=nocona'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'core2', ['-march=core2'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'conroe', ['-march=core2'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'conroe-xe', ['-march=core2'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'conroe-l', ['-march=core2'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'allendale', ['-march=core2'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'wolfdale', ['-march=core2', '-msse4.1'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'merom', ['-march=core2'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'merom-xe', ['-march=core2'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'kentsfield', ['-march=core2'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'kentsfield-xe', ['-march=core2'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'yorksfield', ['-march=core2'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'penryn', ['-march=core2'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'corei7', ['-march=corei7'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'nehalem', ['-march=corei7'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'corei7-avx', ['-march=corei7-avx'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'sandy-bridge', ['-march=corei7-avx'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'core-avx-i', ['-march=core-avx-i'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'ivy-bridge', ['-march=core-avx-i'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'haswell', ['-march=core-avx-i', '-mavx2', '-mfma', '-mbmi', '-mbmi2', '-mlzcnt'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'k6', ['-march=k6'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'k6-2', ['-march=k6-2'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'k6-3', ['-march=k6-3'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'athlon', ['-march=athlon'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'athlon-tbird', ['-march=athlon-tbird'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'athlon-4', ['-march=athlon-4'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'athlon-xp', ['-march=athlon-xp'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'athlon-mp', ['-march=athlon-mp'])
##
cpu_flags('gcc', 'OPTIONS', 'x86', 'k8', ['-march=k8'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'opteron', ['-march=opteron'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'athlon64', ['-march=athlon64'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'athlon-fx', ['-march=athlon-fx'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'k8-sse3', ['-march=k8-sse3'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'opteron-sse3', ['-march=opteron-sse3'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'athlon64-sse3', ['-march=athlon64-sse3'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'amdfam10', ['-march=amdfam10'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'barcelona', ['-march=barcelona'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'bdver1', ['-march=bdver1'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'bdver2', ['-march=bdver2'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'bdver3', ['-march=bdver3'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'btver1', ['-march=btver1'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'btver2', ['-march=btver2'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'winchip-c6', ['-march=winchip-c6'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'winchip2', ['-march=winchip2'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'c3', ['-march=c3'])
cpu_flags('gcc', 'OPTIONS', 'x86', 'c3-2', ['-march=c3-2'])
##
cpu_flags('gcc', 'OPTIONS', 'x86', 'atom', ['-march=atom'])
# Sparc
flags('gcc', 'OPTIONS', ['<architecture>sparc/<address-model>32'], ['-m32'])
flags('gcc', 'OPTIONS', ['<architecture>sparc/<address-model>64'], ['-m64'])
cpu_flags('gcc', 'OPTIONS', 'sparc', 'c3', ['-mcpu=c3'], default=True)
cpu_flags('gcc', 'OPTIONS', 'sparc', 'v7', ['-mcpu=v7'])
cpu_flags('gcc', 'OPTIONS', 'sparc', 'cypress', ['-mcpu=cypress'])
cpu_flags('gcc', 'OPTIONS', 'sparc', 'v8', ['-mcpu=v8'])
cpu_flags('gcc', 'OPTIONS', 'sparc', 'supersparc', ['-mcpu=supersparc'])
cpu_flags('gcc', 'OPTIONS', 'sparc', 'sparclite', ['-mcpu=sparclite'])
cpu_flags('gcc', 'OPTIONS', 'sparc', 'hypersparc', ['-mcpu=hypersparc'])
cpu_flags('gcc', 'OPTIONS', 'sparc', 'sparclite86x', ['-mcpu=sparclite86x'])
cpu_flags('gcc', 'OPTIONS', 'sparc', 'f930', ['-mcpu=f930'])
cpu_flags('gcc', 'OPTIONS', 'sparc', 'f934', ['-mcpu=f934'])
cpu_flags('gcc', 'OPTIONS', 'sparc', 'sparclet', ['-mcpu=sparclet'])
cpu_flags('gcc', 'OPTIONS', 'sparc', 'tsc701', ['-mcpu=tsc701'])
cpu_flags('gcc', 'OPTIONS', 'sparc', 'v9', ['-mcpu=v9'])
cpu_flags('gcc', 'OPTIONS', 'sparc', 'ultrasparc', ['-mcpu=ultrasparc'])
cpu_flags('gcc', 'OPTIONS', 'sparc', 'ultrasparc3', ['-mcpu=ultrasparc3'])
# RS/6000 & PowerPC
flags('gcc', 'OPTIONS', ['<architecture>power/<address-model>32'], ['-m32'])
flags('gcc', 'OPTIONS', ['<architecture>power/<address-model>64'], ['-m64'])
cpu_flags('gcc', 'OPTIONS', 'power', '403', ['-mcpu=403'])
cpu_flags('gcc', 'OPTIONS', 'power', '505', ['-mcpu=505'])
cpu_flags('gcc', 'OPTIONS', 'power', '601', ['-mcpu=601'])
cpu_flags('gcc', 'OPTIONS', 'power', '602', ['-mcpu=602'])
cpu_flags('gcc', 'OPTIONS', 'power', '603', ['-mcpu=603'])
cpu_flags('gcc', 'OPTIONS', 'power', '603e', ['-mcpu=603e'])
cpu_flags('gcc', 'OPTIONS', 'power', '604', ['-mcpu=604'])
cpu_flags('gcc', 'OPTIONS', 'power', '604e', ['-mcpu=604e'])
cpu_flags('gcc', 'OPTIONS', 'power', '620', ['-mcpu=620'])
cpu_flags('gcc', 'OPTIONS', 'power', '630', ['-mcpu=630'])
cpu_flags('gcc', 'OPTIONS', 'power', '740', ['-mcpu=740'])
cpu_flags('gcc', 'OPTIONS', 'power', '7400', ['-mcpu=7400'])
cpu_flags('gcc', 'OPTIONS', 'power', '7450', ['-mcpu=7450'])
cpu_flags('gcc', 'OPTIONS', 'power', '750', ['-mcpu=750'])
cpu_flags('gcc', 'OPTIONS', 'power', '801', ['-mcpu=801'])
cpu_flags('gcc', 'OPTIONS', 'power', '821', ['-mcpu=821'])
cpu_flags('gcc', 'OPTIONS', 'power', '823', ['-mcpu=823'])
cpu_flags('gcc', 'OPTIONS', 'power', '860', ['-mcpu=860'])
cpu_flags('gcc', 'OPTIONS', 'power', '970', ['-mcpu=970'])
cpu_flags('gcc', 'OPTIONS', 'power', '8540', ['-mcpu=8540'])
cpu_flags('gcc', 'OPTIONS', 'power', 'power', ['-mcpu=power'])
cpu_flags('gcc', 'OPTIONS', 'power', 'power2', ['-mcpu=power2'])
cpu_flags('gcc', 'OPTIONS', 'power', 'power3', ['-mcpu=power3'])
cpu_flags('gcc', 'OPTIONS', 'power', 'power4', ['-mcpu=power4'])
cpu_flags('gcc', 'OPTIONS', 'power', 'power5', ['-mcpu=power5'])
cpu_flags('gcc', 'OPTIONS', 'power', 'powerpc', ['-mcpu=powerpc'])
cpu_flags('gcc', 'OPTIONS', 'power', 'powerpc64', ['-mcpu=powerpc64'])
cpu_flags('gcc', 'OPTIONS', 'power', 'rios', ['-mcpu=rios'])
cpu_flags('gcc', 'OPTIONS', 'power', 'rios1', ['-mcpu=rios1'])
cpu_flags('gcc', 'OPTIONS', 'power', 'rios2', ['-mcpu=rios2'])
cpu_flags('gcc', 'OPTIONS', 'power', 'rsc', ['-mcpu=rsc'])
cpu_flags('gcc', 'OPTIONS', 'power', 'rs64a', ['-mcpu=rs64'])
# AIX variant of RS/6000 & PowerPC
flags('gcc', 'OPTIONS', ['<architecture>power/<address-model>32/<target-os>aix'], ['-maix32'])
flags('gcc', 'OPTIONS', ['<architecture>power/<address-model>64/<target-os>aix'], ['-maix64'])
flags('gcc', 'AROPTIONS', ['<architecture>power/<address-model>64/<target-os>aix'], ['-X 64'])
|
mit
|
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Juniper/neutron
|
neutron/db/migration/alembic_migrations/versions/3d2585038b95_vmware_nsx.py
|
16
|
2181
|
# Copyright 2014 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.
#
"""VMware NSX rebranding
Revision ID: 3d2585038b95
Revises: 157a5d299379
Create Date: 2014-02-11 18:18:34.319031
"""
# revision identifiers, used by Alembic.
revision = '3d2585038b95'
down_revision = '157a5d299379'
# Change to ['*'] if this migration applies to all plugins
migration_for_plugins = [
'neutron.plugins.nicira.NeutronPlugin.NvpPluginV2',
'neutron.plugins.nicira.NeutronServicePlugin.NvpAdvancedPlugin',
'neutron.plugins.vmware.plugin.NsxPlugin',
'neutron.plugins.vmware.plugin.NsxServicePlugin'
]
from alembic import op
from neutron.db import migration
def upgrade(active_plugins=None, options=None):
if not migration.should_run(active_plugins, migration_for_plugins):
return
op.rename_table('nvp_network_bindings', 'tz_network_bindings')
op.rename_table('nvp_multi_provider_networks', 'multi_provider_networks')
engine = op.get_bind().engine
if engine.name == 'postgresql':
op.execute("ALTER TYPE nvp_network_bindings_binding_type "
"RENAME TO tz_network_bindings_binding_type;")
def downgrade(active_plugins=None, options=None):
if not migration.should_run(active_plugins, migration_for_plugins):
return
engine = op.get_bind().engine
if engine.name == 'postgresql':
op.execute("ALTER TYPE tz_network_bindings_binding_type "
"RENAME TO nvp_network_bindings_binding_type;")
op.rename_table('multi_provider_networks', 'nvp_multi_provider_networks')
op.rename_table('tz_network_bindings', 'nvp_network_bindings')
|
apache-2.0
|
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0,
0,
0,
0,
0,
0
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gsehub/edx-platform
|
lms/djangoapps/verify_student/tests/test_fake_software_secure.py
|
13
|
2781
|
"""
Tests for the fake software secure response.
"""
from django.test import TestCase
from mock import patch
from lms.djangoapps.verify_student.models import SoftwareSecurePhotoVerification
from student.tests.factories import UserFactory
from util.testing import UrlResetMixin
class SoftwareSecureFakeViewTest(UrlResetMixin, TestCase):
"""
Base class to test the fake software secure view.
"""
URLCONF_MODULES = ['verify_student.urls']
def setUp(self, **kwargs):
enable_software_secure_fake = kwargs.get('enable_software_secure_fake', False)
with patch.dict('django.conf.settings.FEATURES', {'ENABLE_SOFTWARE_SECURE_FAKE': enable_software_secure_fake}):
super(SoftwareSecureFakeViewTest, self).setUp()
self.user = UserFactory.create(username="test", password="test")
self.attempt = SoftwareSecurePhotoVerification.objects.create(user=self.user)
self.client.login(username="test", password="test")
class SoftwareSecureFakeViewDisabledTest(SoftwareSecureFakeViewTest):
"""
Test the fake software secure response when feature flag
'ENABLE_SOFTWARE_SECURE_FAKE' is not enabled.
"""
shard = 4
def setUp(self):
super(SoftwareSecureFakeViewDisabledTest, self).setUp(enable_software_secure_fake=False)
def test_get_method_without_enable_feature_flag(self):
"""
Test that the user gets 404 response if the feature flag
'ENABLE_SOFTWARE_SECURE_FAKE' is not enabled.
"""
response = self.client.get(
'/verify_student/software-secure-fake-response'
)
self.assertEqual(response.status_code, 404)
class SoftwareSecureFakeViewEnabledTest(SoftwareSecureFakeViewTest):
"""
Test the fake software secure response when feature flag
'ENABLE_SOFTWARE_SECURE_FAKE' is enabled.
"""
shard = 4
def setUp(self):
super(SoftwareSecureFakeViewEnabledTest, self).setUp(enable_software_secure_fake=True)
def test_get_method_without_logged_in_user(self):
"""
Test that the user gets 302 response if that user is not logged in.
"""
self.client.logout()
response = self.client.get(
'/verify_student/software-secure-fake-response'
)
self.assertEqual(response.status_code, 302)
def test_get_method(self):
"""
Test that GET method of fake software secure view uses the most recent
attempt for the logged-in user.
"""
response = self.client.get(
'/verify_student/software-secure-fake-response'
)
self.assertEqual(response.status_code, 200)
self.assertIn('EdX-ID', response.content)
self.assertIn('results_callback', response.content)
|
agpl-3.0
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sh4t/Sick-Beard
|
lib/imdb/_logging.py
|
143
|
2171
|
"""
_logging module (imdb package).
This module provides the logging facilities used by the imdb package.
Copyright 2009-2010 Davide Alberani <da@erlug.linux.it>
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
"""
import logging
LEVELS = {'debug': logging.DEBUG,
'info': logging.INFO,
'warn': logging.WARNING,
'warning': logging.WARNING,
'error': logging.ERROR,
'critical': logging.CRITICAL}
imdbpyLogger = logging.getLogger('imdbpy')
imdbpyStreamHandler = logging.StreamHandler()
imdbpyFormatter = logging.Formatter('%(asctime)s %(levelname)s [%(name)s]' \
' %(pathname)s:%(lineno)d: %(message)s')
imdbpyStreamHandler.setFormatter(imdbpyFormatter)
imdbpyLogger.addHandler(imdbpyStreamHandler)
def setLevel(level):
"""Set logging level for the main logger."""
level = level.lower().strip()
imdbpyLogger.setLevel(LEVELS.get(level, logging.NOTSET))
imdbpyLogger.log(imdbpyLogger.level, 'set logging threshold to "%s"',
logging.getLevelName(imdbpyLogger.level))
#imdbpyLogger.setLevel(logging.DEBUG)
# It can be an idea to have a single function to log and warn:
#import warnings
#def log_and_warn(msg, args=None, logger=None, level=None):
# """Log the message and issue a warning."""
# if logger is None:
# logger = imdbpyLogger
# if level is None:
# level = logging.WARNING
# if args is None:
# args = ()
# #warnings.warn(msg % args, stacklevel=0)
# logger.log(level, msg % args)
|
gpl-3.0
|
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nishigori/boto
|
tests/unit/manage/test_ssh.py
|
114
|
2004
|
#!/usr/bin/env python
# Copyright (c) 2013 Amazon.com, Inc. or its affiliates. All Rights Reserved
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish, dis-
# tribute, sublicense, and/or sell copies of the Software, and to permit
# persons to whom the Software is furnished to do so, subject to the fol-
# lowing conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABIL-
# ITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
# SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
# IN THE SOFTWARE.
#
try:
import paramiko
from boto.manage.cmdshell import SSHClient
except ImportError:
paramiko = None
SSHClient = None
from tests.compat import mock, unittest
class TestSSHTimeout(unittest.TestCase):
@unittest.skipIf(not paramiko, 'Paramiko missing')
def test_timeout(self):
client_tmp = paramiko.SSHClient
def client_mock():
client = client_tmp()
client.connect = mock.Mock(name='connect')
return client
paramiko.SSHClient = client_mock
paramiko.RSAKey.from_private_key_file = mock.Mock()
server = mock.Mock()
test = SSHClient(server)
self.assertEqual(test._ssh_client.connect.call_args[1]['timeout'], None)
test2 = SSHClient(server, timeout=30)
self.assertEqual(test2._ssh_client.connect.call_args[1]['timeout'], 30)
|
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austinzheng/swift
|
utils/swift-api-dump.py
|
25
|
11781
|
#!/usr/bin/env python
# This tool dumps imported Swift APIs to help validate changes in the
# projection of (Objective-)C APIs into Swift, which is a function of the
# (Objective-)C APIs, any API notes added on top of those APIs, and the
# Clang importer itself. One can execute it to dump the API of a given
# module within a particular SDK, e.g., UIKit from the iOS SDK as seen in
# Swift 4 compatibility mode:
#
# /path/to/bin/dir/swift-api-dump.py -swift-version 4 -o output-dir \
# -m UIKit -s iphoneos
#
# The "-m" argument can be omitted, in which case the script will collect
# all of the frameworks in the named SDK(s) and dump their APIs.
#
# One can supply multiple SDKs, written as a list. For example, to
# dump the API for all frameworks across macOS, iOS, watchOS, and tvOS,
# in Swift 4.2, use:
#
# /path/to/bin/dir/swift-api-dump.py -swift-version 4.2 -o output-dir \
# -s macosx iphoneos watchos appletvos
#
from __future__ import print_function
import argparse
import multiprocessing
import os
import re
import subprocess
import sys
DEFAULT_TARGET_BASED_ON_SDK = {
'macosx': 'x86_64-apple-macosx10.11',
'iphoneos': 'arm64-apple-ios9.0',
'iphonesimulator': 'x86_64-apple-ios9.0',
'watchos': 'armv7k-apple-watchos2.0',
'watchos.simulator': 'i386-apple-watchos2.0',
'appletvos': 'arm64-apple-tvos9',
'appletvos.simulator': 'x86_64-apple-tvos9',
}
SKIPPED_FRAMEWORKS = {
'AppKitScripting',
'CalendarStore',
'CoreMIDIServer',
'DrawSprocket',
'DVComponentGlue',
'InstallerPlugins',
'InstantMessage',
'JavaFrameEmbedding',
'JavaVM',
'Kerberos',
'Kernel',
'LDAP',
'Message',
'PCSC',
'PubSub',
'QTKit',
'QuickTime',
'Ruby',
'Scripting',
'SyncServices',
'System',
'Tk',
'VideoDecodeAcceleration',
'vecLib',
}
def create_parser():
script_path = os.path.dirname(sys.argv[0])
script_path = os.path.abspath(script_path)
default_swift_ide_test = '%s/swift-ide-test' % (script_path)
parser = argparse.ArgumentParser(
description="Dumps imported Swift APIs for a module or SDK",
prog='swift-api-dump.py',
usage='%(prog)s -s iphoneos')
parser.add_argument('-m', '--module', help='The module name.')
parser.add_argument('-j', '--jobs', type=int,
help='The number of parallel jobs to execute')
parser.add_argument('-s', '--sdk', nargs='+',
required=True, help="The SDKs to use.")
parser.add_argument('-t', '--target', help="The target triple to use.")
parser.add_argument('-i', '--swift-ide-test',
default=default_swift_ide_test,
help="The swift-ide-test executable.")
parser.add_argument('-o', '--output-dir', default=os.getcwd(),
help='Directory to which the output will be emitted.')
parser.add_argument('-q', '--quiet', action='store_true',
help='Suppress printing of status messages.')
parser.add_argument('-v', '--verbose', action='store_true',
help='Print extra information.')
parser.add_argument('-F', '--framework-dir', action='append',
help='Add additional framework directories')
parser.add_argument('-iframework', '--system-framework-dir',
action='append',
help='Add additional system framework directories')
parser.add_argument('-I', '--include-dir', action='append',
help='Add additional include directories')
parser.add_argument('--enable-infer-import-as-member', action='store_true',
help='Infer when a global could be imported as a ' +
'member.')
parser.add_argument('-swift-version', metavar='N',
help='the Swift version to use')
parser.add_argument('-show-overlay', action='store_true',
help='Show overlay API in addition to Objective-C ' +
'module API')
parser.add_argument('-show-doc-comments', action='store_true',
help='Show documentation comments')
parser.add_argument('-show-unavailable', action='store_true',
help='Show declarations that are unavailable in Swift')
return parser
def output_command_result_to_file(command_args, filename):
with open(filename, 'w') as output_file:
subprocess.call(command_args, stdout=output_file)
def run_command(args):
proc = subprocess.Popen(
args, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
out, err = proc.communicate()
exitcode = proc.returncode
return (exitcode, out, err)
# Collect the set of submodules for the given module.
def collect_submodules(common_args, module):
# Execute swift-ide-test to print the interface.
my_args = ['-module-print-submodules', '-module-to-print=%s' % (module)]
(exitcode, out, _) = run_command(common_args + my_args)
if exitcode != 0:
print(
'error: submodule collection failed for module %s with error %d' %
(module, exitcode))
return ()
# Find all of the submodule imports.
import_matcher = re.compile(r'.*import\s+%s\.([A-Za-z_0-9.]+)' % (module))
submodules = set()
for line in out.splitlines():
match = import_matcher.match(line)
if match:
submodules.add(match.group(1))
return sorted(list(submodules))
# Print out the command we're about to execute
def print_command(cmd, outfile=""):
retstr = " ".join(cmd)
if outfile != "":
retstr += " > " + outfile
print(retstr)
# Dump the API for the given module.
def dump_module_api((cmd, extra_dump_args, output_dir, module, quiet,
verbose)):
# Collect the submodules
submodules = collect_submodules(cmd, module)
# Dump the top-level module
if verbose:
print("mkdir -p %s/%s" % (output_dir, module))
subprocess.call(['mkdir', '-p', ('%s/%s' % (output_dir, module))])
output_file = '%s/%s/%s.swift' % (output_dir, module, module)
if not quiet:
print('Writing %s...' % output_file)
top_level_cmd = cmd + extra_dump_args + ['-module-to-print=%s' % (module)]
if verbose:
print_command(top_level_cmd, output_file)
output_command_result_to_file(top_level_cmd, output_file)
# Dump each submodule.
for submodule in submodules:
output_file = '%s/%s/%s.swift' % (output_dir, module, submodule)
if not quiet:
print('Writing %s...' % output_file)
full_submodule = '%s.%s' % (module, submodule)
submodule_cmd = cmd + extra_dump_args
submodule_cmd = submodule_cmd + \
['-module-to-print=%s' % (full_submodule)]
if verbose:
print_command(submodule_cmd, output_file)
output_command_result_to_file(submodule_cmd, output_file)
return
def pretty_sdk_name(sdk):
if sdk.find("macosx") == 0:
return 'macOS'
if sdk.find("iphoneos") == 0:
return 'iOS'
if sdk.find("watchos") == 0:
return 'watchOS'
if sdk.find("appletvos") == 0:
return 'tvOS'
return 'unknownOS'
# Collect the set of frameworks we should dump
def collect_frameworks(sdk):
(exitcode, sdk_path, _) = run_command(
["xcrun", "--show-sdk-path", "-sdk", sdk])
if exitcode != 0:
print('error: framework collection failed to find SDK path for %s '
'with error %d' % (sdk, exitcode))
return ()
sdk_path = sdk_path.rstrip()
(exitcode, sdk_version, _) = run_command(
["xcrun", "--show-sdk-version", "-sdk", sdk])
if exitcode != 0:
print('error: framework collection failed to find SDK version for %s '
'with error %d' % (sdk, exitcode))
return ()
sdk_version = sdk_version.rstrip()
print('Collecting frameworks from %s %s at %s' %
(pretty_sdk_name(sdk), sdk_version, sdk_path))
# Collect all of the framework names
frameworks_dir = '%s/System/Library/Frameworks' % sdk_path
framework_matcher = re.compile(r'([A-Za-z_0-9.]+)\.framework')
frameworks = set()
for entry in os.listdir(frameworks_dir):
match = framework_matcher.match(entry)
if match:
framework = match.group(1)
if framework not in SKIPPED_FRAMEWORKS:
frameworks.add(framework)
return (sorted(list(frameworks)), sdk_path)
def get_short_sdk_name(sdk):
matched = re.match("[a-zA-Z]+", sdk)
return matched.group(0)
def create_dump_module_api_args(cmd_common, cmd_extra_args, sdk, module,
target, output_dir, quiet, verbose):
# Determine the SDK root and collect the set of frameworks.
(frameworks, sdk_root) = collect_frameworks(sdk)
# Figure out the "short" name of the SDK
short_sdk_name = get_short_sdk_name(sdk)
# Determine the default target.
if target:
sdk_target = target
else:
sdk_target = DEFAULT_TARGET_BASED_ON_SDK[short_sdk_name]
# Determine the output idirectory
pretty_sdk = pretty_sdk_name(short_sdk_name)
sdk_output_dir = '%s/%s' % (output_dir, pretty_sdk)
# Create the sets of arguments to dump_module_api.
results = []
cmd = cmd_common + ['-sdk', sdk_root, '-target', sdk_target]
if module:
results.append(
(cmd, cmd_extra_args, sdk_output_dir, module, quiet, verbose))
else:
for framework in frameworks:
results.append(
(cmd, cmd_extra_args, sdk_output_dir, framework, quiet,
verbose))
return results
def main():
source_filename = 'swift-api-dump.swift'
parser = create_parser()
args = parser.parse_args()
cmd_common = [
args.swift_ide_test,
'-print-module',
'-source-filename',
source_filename,
'-skip-overrides'
]
# Add -module-print-skip-overlay
if not args.show_overlay:
cmd_common += ['-module-print-skip-overlay']
# Add -skip-print-doc-comments
if not args.show_doc_comments:
cmd_common += ['-skip-print-doc-comments']
# Add -skip-unavailable
if not args.show_unavailable:
cmd_common += ['-skip-unavailable']
# Add -F / -iframework / -I arguments.
if args.framework_dir:
for path in args.framework_dir:
cmd_common = cmd_common + ['-F', path]
if args.system_framework_dir:
for path in args.system_framework_dir:
cmd_common = cmd_common + ['-iframework', path]
if args.include_dir:
for path in args.include_dir:
cmd_common = cmd_common + ['-I', path]
# Determine the set of extra arguments we'll use.
extra_args = ['-skip-imports']
if args.enable_infer_import_as_member:
extra_args = extra_args + ['-enable-infer-import-as-member']
if args.swift_version:
extra_args = extra_args + ['-swift-version', '%s' % args.swift_version]
# Create a .swift file we can feed into swift-ide-test
subprocess.call(['touch', source_filename])
# Construct the set of API dumps we should perform.
jobs = []
for sdk in args.sdk:
jobs = jobs + create_dump_module_api_args(
cmd_common, extra_args, sdk, args.module,
args.target, args.output_dir,
args.quiet, args.verbose)
# Execute the API dumps
pool = multiprocessing.Pool(processes=args.jobs)
pool.map(dump_module_api, jobs)
# Remove the .swift file we fed into swift-ide-test
subprocess.call(['rm', '-f', source_filename])
if __name__ == '__main__':
main()
|
apache-2.0
|
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geodynamics/burnman
|
tests/test_planet.py
|
2
|
1989
|
from __future__ import absolute_import
import unittest
import os
import sys
sys.path.insert(1, os.path.abspath('..'))
import warnings
import burnman
from burnman import minerals
from burnman import seismic
from burnman.planet import Planet
from burnman.layer import Layer
from burnman import mineral_helpers as helpers
from util import BurnManTest
import numpy as np
def make_simple_planet():
core = Layer("core", np.linspace(0.e3,3480.e3,10))
core.set_material(burnman.minerals.other.Liquid_Fe_Anderson())
core.set_temperature_mode('user-defined', temperatures= 300.*np.ones_like(core.radii))
mantle = Layer("mantle", np.linspace(3480.e3, 6371.e3, 10))
mantle.set_material(burnman.minerals.SLB_2011.mg_bridgmanite())
mantle.set_temperature_mode('adiabatic', temperature_top = 1200)
myplanet = Planet('earth_like',[core, mantle])
myplanet.make()
return myplanet, core, mantle
class test_planet(BurnManTest):
def test_planet_1(self):
myplanet, core, mantle = make_simple_planet()
assert(myplanet.get_layer("core") == core)
assert(myplanet.get_layer_by_radius(2000.e3) == core)
assert(myplanet.get_layer_by_radius(4000.e3) == mantle)
assert(myplanet.get_layer_by_radius(5000.e3) == mantle)
self.assertFloatEqual(myplanet.pressure[0], 445219931774.84, tol=1.e-4)
def test_sort_layers(self):
myplanet, core, mantle = make_simple_planet()
assert(myplanet.layers == [core, mantle])
def test_temperature(self):
myplanet, core, mantle = make_simple_planet()
self.assertArraysAlmostEqual(mantle.S, [mantle.S[-1] for S in mantle.S])
def test_evaluate(self):
myplanet, core, mantle = make_simple_planet()
alpha, rho = myplanet.evaluate(['alpha', 'rho'], myplanet.radii)
self.assertFloatEqual(alpha[-2], myplanet.alpha[-2])
self.assertFloatEqual(rho[-2], myplanet.density[-2])
if __name__ == '__main__':
unittest.main()
|
gpl-2.0
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mdaif/olympia
|
apps/versions/feeds.py
|
13
|
3897
|
from django.contrib.syndication.views import Feed
from django.shortcuts import get_object_or_404
from django.utils.feedgenerator import DefaultFeed
from jingo.helpers import datetime
from tower import ugettext as _
import amo
from amo.urlresolvers import reverse
from amo.helpers import absolutify, url
from amo.utils import urlparams
from addons.models import Addon
from versions.views import PER_PAGE
class PagedFeed(DefaultFeed):
page = None
def add_page_relation(self, handler, rel, page):
page = None if page == 1 else page
url = urlparams(self.feed['feed_url'], page=page)
handler.addQuickElement('atom:link', None, {'rel': rel, 'href': url})
def add_root_elements(self, handler):
# set feed_url to current page
page = None if self.page.number == 1 else self.page.number
self.feed['feed_url'] = urlparams(self.feed['feed_url'], page=page)
DefaultFeed.add_root_elements(self, handler)
# http://tools.ietf.org/html/rfc5005#section-3
self.add_page_relation(handler, 'first', 1)
if self.page.has_previous():
self.add_page_relation(handler, 'previous',
self.page.previous_page_number())
if self.page.has_next():
self.add_page_relation(handler, 'next',
self.page.next_page_number())
self.add_page_relation(handler, 'last', self.page.paginator.num_pages)
class VersionsRss(Feed):
feed_type = PagedFeed
addon = None
def get_object(self, request, addon_id, beta=False):
"""Get the Addon for which we are about to output
the RSS feed of it Versions"""
qs = Addon.objects
self.addon = get_object_or_404(qs.id_or_slug(addon_id) & qs.valid())
status_list = (amo.STATUS_BETA,) if beta else amo.VALID_STATUSES
items_qs = (self.addon.versions
.filter(files__status__in=status_list)
.distinct().order_by('-created'))
self.feed_type.page = amo.utils.paginate(request, items_qs, PER_PAGE)
return self.addon
def title(self, addon):
"""Title for the feed"""
return _(u'%s Version History' % addon.name)
def link(self, addon):
"""Link for the feed"""
return absolutify(url('home'))
def description(self, addon):
"""Description for the feed"""
return _('Version History with Changelogs')
def items(self, obj):
"""Return the Versions for this Addon to be output as RSS <item>'s"""
return self.feed_type.page
def item_link(self, version):
"""Link for a particular version (<item><link>)"""
return absolutify(version.get_url_path())
def item_title(self, version):
"""Title for particular version (<item><title>)"""
# L10n: This is the Title for this Version of the Addon
return u'{name} {version} - {created}'.format(
name=self.addon.name, version=version.version,
created=datetime(version.created))
def item_description(self, version):
"""Description for particular version (<item><description>)"""
return version.releasenotes
def item_guid(self, version):
"""Guid for a particuar version (<item><guid>)"""
url = absolutify(reverse('addons.versions', args=[version.addon_id]))
return "%s#version-%s" % (url, version.version)
def item_author_name(self, version):
"""Author for a particuar version (<item><dc:creator>)"""
# @todo should be able to output a <dc:creator for each author
if version.addon.listed_authors:
return version.addon.listed_authors[0].name
else:
return ''
def item_pubdate(self, version):
"""Pubdate for a particuar version (<item><pubDate>)"""
return version.created
|
bsd-3-clause
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randynobx/ansible
|
lib/ansible/modules/windows/win_find.py
|
22
|
10385
|
#!/usr/bin/python
# -*- coding: utf-8 -*-
# (c) 2016, Ansible, inc
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
#
ANSIBLE_METADATA = {'metadata_version': '1.0',
'status': ['preview'],
'supported_by': 'community'}
DOCUMENTATION = r'''
---
module: win_find
version_added: "2.3"
short_description: return a list of files based on specific criteria
description:
- Return a list of files based on specified criteria.
- Multiple criteria are AND'd together.
- For non-Windows targets, use the M(find) module instead.
options:
age:
description:
- Select files or folders whose age is equal to or greater than
the specified time. Use a negative age to find files equal to or
less than the specified time. You can choose seconds, minutes,
hours, days or weeks by specifying the first letter of an of
those words (e.g., "2s", "10d", 1w").
required: false
age_stamp:
description:
- Choose the file property against which we compare C(age). The
default attribute we compare with is the last modification time.
required: false
default: mtime
choices: ['atime', 'mtime', 'ctime']
checksum_algorithm:
description:
- Algorithm to determine the checksum of a file. Will throw an error
if the host is unable to use specified algorithm.
required: false
default: sha1
choices: ['md5', 'sha1', 'sha256', 'sha384', 'sha512']
file_type:
description: Type of file to search for
required: false
default: file
choices: ['file', 'directory']
follow:
description:
- Set this to true to follow symlinks in the path. This needs to
be used in conjunction with C(recurse).
required: false
default: false
choices: ['true', 'false']
get_checksum:
description:
- Whether to return a checksum of the file in the return info (default sha1),
use C(checksum_algorithm) to change from the default.
required: false
default: true
choices: ['true', 'false']
hidden:
description: Set this to include hidden files or folders
required: false
default: false
choices: ['true', 'false']
paths:
description:
- List of paths of directories to search for files or folders in.
This can be supplied as a single path or a list of paths.
required: true
patterns:
description:
- One or more (powershell or regex) patterns to compare filenames
with. The type of pattern matching is controlled by C(use_regex)
option. The patterns retrict the list of files or folders to be
returned based on the filenames. For a file to be matched it
only has to match with one pattern in a list provided.
required: false
recurse:
description:
- Will recursively descend into the directory looking for files
or folders
required: false
default: false
choices: ['true', 'false']
size:
description:
- Select files or folders whose size is equal to or greater than
the specified size. Use a negative value to find files equal to
or less than the specified size. You can specify the size with
a suffix of the byte type i.e. kilo = k, mega = m... Size is not
evaluated for symbolic links.
required: false
default: false
use_regex:
description:
- Will set patterns to run as a regex check if true
required: false
default: false
choices: ['true', 'false']
notes:
- For non-Windows targets, use the M(find) module instead.
author: "Jordan Borean (@jborean93)"
'''
EXAMPLES = r'''
# Find files in path
- win_find:
paths: D:\temp
# Find hidden files in path
- win_find:
paths: D:\temp
hidden: True
# Find files in multiple paths
- win_find:
paths: ['C:\temp', 'D:\temp']
# Find files in directory while searching recursively
- win_find:
paths: D:\temp
recurse: True
# Find files in directory while following symlinks
- win_find:
paths: D:\temp
recurse: True
follow: True
# Find files with .log and .out extension using powershell wildcards
- win_find:
paths: D:\temp
patterns: ['*.log', '*.out']
# Find files in path based on regex pattern
- win_find:
paths: D:\temp
patterns: 'out_\d{8}-\d{6}.log'
# Find files older than 1 day
- win_find:
paths: D:\temp
age: 86400
# Find files older than 1 day based on create time
- win_find:
paths: D:\temp
age: 86400
age_stamp: ctime
# Find files older than 1 day with unit syntax
- win_find:
paths: D:\temp
age: 1d
# Find files newer than 1 hour
- win_find:
paths: D:\temp
age: -3600
# Find files newer than 1 hour with unit syntax
- win_find:
paths: D:\temp
age: -1h
# Find files larger than 1MB
- win_find:
paths: D:\temp
size: 1048576
# Find files larger than 1GB with unit syntax
- win_find:
paths: D:\temp
size: 1g
# Find files smaller than 1MB
- win_find:
paths: D:\temp
size: -1048576
# Find files smaller than 1GB with unit syntax
- win_find:
paths: D:\temp
size: -1g
# Find folders/symlinks in multiple paths
- win_find:
paths: ['C:\temp', 'D:\temp']
file_type: directory
# Find files and return SHA256 checksum of files found
- win_find:
paths: C:\temp
get_checksum: True
checksum_algorithm: sha256
# Find files and do not return the checksum
- win_find:
path: C:\temp
get_checksum: False
'''
RETURN = r'''
changed:
description: Whether anything was chagned
returned: always
type: boolean
sample: True
examined:
description: The number of files/folders that was checked
returned: always
type: int
sample: 10
matched:
description: The number of files/folders that match the criteria
returned: always
type: int
sample: 2
files:
description: Information on the files/folders that match the criteria returned as a list of dictionary elements for each file matched
returned: success
type: complex
contains:
attributes:
description: attributes of the file at path in raw form
returned: success, path exists
type: string
sample: "Archive, Hidden"
checksum:
description: The checksum of a file based on checksum_algorithm specified
returned: success, path exists, path is a file, get_checksum == True
type: string
sample: 09cb79e8fc7453c84a07f644e441fd81623b7f98
creationtime:
description: the create time of the file represented in seconds since epoch
returned: success, path exists
type: float
sample: 1477984205.15
extension:
description: the extension of the file at path
returned: success, path exists, path is a file
type: string
sample: ".ps1"
isarchive:
description: if the path is ready for archiving or not
returned: success, path exists
type: boolean
sample: True
isdir:
description: if the path is a directory or not
returned: success, path exists
type: boolean
sample: True
ishidden:
description: if the path is hidden or not
returned: success, path exists
type: boolean
sample: True
islnk:
description: if the path is a symbolic link or junction or not
returned: success, path exists
type: boolean
sample: True
isreadonly:
description: if the path is read only or not
returned: success, path exists
type: boolean
sample: True
isshared:
description: if the path is shared or not
returned: success, path exists
type: boolean
sample: True
lastaccesstime:
description: the last access time of the file represented in seconds since epoch
returned: success, path exists
type: float
sample: 1477984205.15
lastwritetime:
description: the last modification time of the file represented in seconds since epoch
returned: success, path exists
type: float
sample: 1477984205.15
lnk_source:
description: the target of the symbolic link, will return null if not a link or the link is broken
return: success, path exists, path is a symbolic link
type: string
sample: C:\temp
owner:
description: the owner of the file
returned: success, path exists
type: string
sample: BUILTIN\Administrators
path:
description: the full absolute path to the file
returned: success, path exists
type: string
sample: BUILTIN\Administrators
sharename:
description: the name of share if folder is shared
returned: success, path exists, path is a directory and isshared == True
type: string
sample: file-share
size:
description: the size in bytes of a file or folder
returned: success, path exists, path is not a link
type: int
sample: 1024
'''
|
gpl-3.0
|
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kswiat/django
|
tests/model_options/test_tablespaces.py
|
34
|
5513
|
from __future__ import unicode_literals
from django.apps import apps
from django.conf import settings
from django.db import connection
from django.core.management.color import no_style
from django.test import TestCase, skipIfDBFeature, skipUnlessDBFeature
from .models.tablespaces import (Article, ArticleRef, Authors, Reviewers,
Scientist, ScientistRef)
def sql_for_table(model):
return '\n'.join(connection.creation.sql_create_model(model,
no_style())[0])
def sql_for_index(model):
return '\n'.join(connection.creation.sql_indexes_for_model(model,
no_style()))
# We can't test the DEFAULT_TABLESPACE and DEFAULT_INDEX_TABLESPACE settings
# because they're evaluated when the model class is defined. As a consequence,
# @override_settings doesn't work, and the tests depend
class TablespacesTests(TestCase):
def setUp(self):
# The unmanaged models need to be removed after the test in order to
# prevent bad interactions with the flush operation in other tests.
self._old_models = apps.app_configs['model_options'].models.copy()
for model in Article, Authors, Reviewers, Scientist:
model._meta.managed = True
def tearDown(self):
for model in Article, Authors, Reviewers, Scientist:
model._meta.managed = False
apps.app_configs['model_options'].models = self._old_models
apps.all_models['model_options'] = self._old_models
apps.clear_cache()
def assertNumContains(self, haystack, needle, count):
real_count = haystack.count(needle)
self.assertEqual(real_count, count, "Found %d instances of '%s', "
"expected %d" % (real_count, needle, count))
@skipUnlessDBFeature('supports_tablespaces')
def test_tablespace_for_model(self):
sql = sql_for_table(Scientist).lower()
if settings.DEFAULT_INDEX_TABLESPACE:
# 1 for the table
self.assertNumContains(sql, 'tbl_tbsp', 1)
# 1 for the index on the primary key
self.assertNumContains(sql, settings.DEFAULT_INDEX_TABLESPACE, 1)
else:
# 1 for the table + 1 for the index on the primary key
self.assertNumContains(sql, 'tbl_tbsp', 2)
@skipIfDBFeature('supports_tablespaces')
def test_tablespace_ignored_for_model(self):
# No tablespace-related SQL
self.assertEqual(sql_for_table(Scientist),
sql_for_table(ScientistRef))
@skipUnlessDBFeature('supports_tablespaces')
def test_tablespace_for_indexed_field(self):
sql = sql_for_table(Article).lower()
if settings.DEFAULT_INDEX_TABLESPACE:
# 1 for the table
self.assertNumContains(sql, 'tbl_tbsp', 1)
# 1 for the primary key + 1 for the index on code
self.assertNumContains(sql, settings.DEFAULT_INDEX_TABLESPACE, 2)
else:
# 1 for the table + 1 for the primary key + 1 for the index on code
self.assertNumContains(sql, 'tbl_tbsp', 3)
# 1 for the index on reference
self.assertNumContains(sql, 'idx_tbsp', 1)
@skipIfDBFeature('supports_tablespaces')
def test_tablespace_ignored_for_indexed_field(self):
# No tablespace-related SQL
self.assertEqual(sql_for_table(Article),
sql_for_table(ArticleRef))
@skipUnlessDBFeature('supports_tablespaces')
def test_tablespace_for_many_to_many_field(self):
sql = sql_for_table(Authors).lower()
# The join table of the ManyToManyField goes to the model's tablespace,
# and its indexes too, unless DEFAULT_INDEX_TABLESPACE is set.
if settings.DEFAULT_INDEX_TABLESPACE:
# 1 for the table
self.assertNumContains(sql, 'tbl_tbsp', 1)
# 1 for the primary key
self.assertNumContains(sql, settings.DEFAULT_INDEX_TABLESPACE, 1)
else:
# 1 for the table + 1 for the index on the primary key
self.assertNumContains(sql, 'tbl_tbsp', 2)
self.assertNumContains(sql, 'idx_tbsp', 0)
sql = sql_for_index(Authors).lower()
# The ManyToManyField declares no db_tablespace, its indexes go to
# the model's tablespace, unless DEFAULT_INDEX_TABLESPACE is set.
if settings.DEFAULT_INDEX_TABLESPACE:
self.assertNumContains(sql, settings.DEFAULT_INDEX_TABLESPACE, 2)
else:
self.assertNumContains(sql, 'tbl_tbsp', 2)
self.assertNumContains(sql, 'idx_tbsp', 0)
sql = sql_for_table(Reviewers).lower()
# The join table of the ManyToManyField goes to the model's tablespace,
# and its indexes too, unless DEFAULT_INDEX_TABLESPACE is set.
if settings.DEFAULT_INDEX_TABLESPACE:
# 1 for the table
self.assertNumContains(sql, 'tbl_tbsp', 1)
# 1 for the primary key
self.assertNumContains(sql, settings.DEFAULT_INDEX_TABLESPACE, 1)
else:
# 1 for the table + 1 for the index on the primary key
self.assertNumContains(sql, 'tbl_tbsp', 2)
self.assertNumContains(sql, 'idx_tbsp', 0)
sql = sql_for_index(Reviewers).lower()
# The ManyToManyField declares db_tablespace, its indexes go there.
self.assertNumContains(sql, 'tbl_tbsp', 0)
self.assertNumContains(sql, 'idx_tbsp', 2)
|
bsd-3-clause
|
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yencarnacion/jaikuengine
|
.google_appengine/lib/django-1.5/django/contrib/databrowse/datastructures.py
|
100
|
9090
|
"""
These classes are light wrappers around Django's database API that provide
convenience functionality and permalink functions for the databrowse app.
"""
from __future__ import unicode_literals
from django.db import models
from django.utils import formats
from django.utils.text import capfirst
from django.utils.encoding import smart_text, force_str, iri_to_uri
from django.db.models.query import QuerySet
from django.utils.encoding import python_2_unicode_compatible
EMPTY_VALUE = '(None)'
DISPLAY_SIZE = 100
class EasyModel(object):
def __init__(self, site, model):
self.site = site
self.model = model
self.model_list = list(site.registry.keys())
self.verbose_name = model._meta.verbose_name
self.verbose_name_plural = model._meta.verbose_name_plural
def __repr__(self):
return force_str('<EasyModel for %s>' % self.model._meta.object_name)
def model_databrowse(self):
"Returns the ModelDatabrowse class for this model."
return self.site.registry[self.model]
def url(self):
return '%s%s/%s/' % (self.site.root_url, self.model._meta.app_label, self.model._meta.module_name)
def objects(self, **kwargs):
return self.get_query_set().filter(**kwargs)
def get_query_set(self):
easy_qs = self.model._default_manager.get_query_set()._clone(klass=EasyQuerySet)
easy_qs._easymodel = self
return easy_qs
def object_by_pk(self, pk):
return EasyInstance(self, self.model._default_manager.get(pk=pk))
def sample_objects(self):
for obj in self.model._default_manager.all()[:3]:
yield EasyInstance(self, obj)
def field(self, name):
try:
f = self.model._meta.get_field(name)
except models.FieldDoesNotExist:
return None
return EasyField(self, f)
def fields(self):
return [EasyField(self, f) for f in (self.model._meta.fields + self.model._meta.many_to_many)]
class EasyField(object):
def __init__(self, easy_model, field):
self.model, self.field = easy_model, field
def __repr__(self):
return force_str('<EasyField for %s.%s>' % (self.model.model._meta.object_name, self.field.name))
def choices(self):
for value, label in self.field.choices:
yield EasyChoice(self.model, self, value, label)
def url(self):
if self.field.choices:
return '%s%s/%s/%s/' % (self.model.site.root_url, self.model.model._meta.app_label, self.model.model._meta.module_name, self.field.name)
elif self.field.rel:
return '%s%s/%s/' % (self.model.site.root_url, self.model.model._meta.app_label, self.model.model._meta.module_name)
class EasyChoice(object):
def __init__(self, easy_model, field, value, label):
self.model, self.field = easy_model, field
self.value, self.label = value, label
def __repr__(self):
return force_str('<EasyChoice for %s.%s>' % (self.model.model._meta.object_name, self.field.name))
def url(self):
return '%s%s/%s/%s/%s/' % (self.model.site.root_url, self.model.model._meta.app_label, self.model.model._meta.module_name, self.field.field.name, iri_to_uri(self.value))
@python_2_unicode_compatible
class EasyInstance(object):
def __init__(self, easy_model, instance):
self.model, self.instance = easy_model, instance
def __repr__(self):
return force_str('<EasyInstance for %s (%s)>' % (self.model.model._meta.object_name, self.instance._get_pk_val()))
def __str__(self):
val = smart_text(self.instance)
if len(val) > DISPLAY_SIZE:
return val[:DISPLAY_SIZE] + '...'
return val
def pk(self):
return self.instance._get_pk_val()
def url(self):
return '%s%s/%s/objects/%s/' % (self.model.site.root_url, self.model.model._meta.app_label, self.model.model._meta.module_name, iri_to_uri(self.pk()))
def fields(self):
"""
Generator that yields EasyInstanceFields for each field in this
EasyInstance's model.
"""
for f in self.model.model._meta.fields + self.model.model._meta.many_to_many:
yield EasyInstanceField(self.model, self, f)
def related_objects(self):
"""
Generator that yields dictionaries of all models that have this
EasyInstance's model as a ForeignKey or ManyToManyField, along with
lists of related objects.
"""
for rel_object in self.model.model._meta.get_all_related_objects() + self.model.model._meta.get_all_related_many_to_many_objects():
if rel_object.model not in self.model.model_list:
continue # Skip models that aren't in the model_list
em = EasyModel(self.model.site, rel_object.model)
yield {
'model': em,
'related_field': rel_object.field.verbose_name,
'object_list': [EasyInstance(em, i) for i in getattr(self.instance, rel_object.get_accessor_name()).all()],
}
class EasyInstanceField(object):
def __init__(self, easy_model, instance, field):
self.model, self.field, self.instance = easy_model, field, instance
self.raw_value = getattr(instance.instance, field.name)
def __repr__(self):
return force_str('<EasyInstanceField for %s.%s>' % (self.model.model._meta.object_name, self.field.name))
def values(self):
"""
Returns a list of values for this field for this instance. It's a list
so we can accomodate many-to-many fields.
"""
# This import is deliberately inside the function because it causes
# some settings to be imported, and we don't want to do that at the
# module level.
if self.field.rel:
if isinstance(self.field.rel, models.ManyToOneRel):
objs = getattr(self.instance.instance, self.field.name)
elif isinstance(self.field.rel, models.ManyToManyRel): # ManyToManyRel
return list(getattr(self.instance.instance, self.field.name).all())
elif self.field.choices:
objs = dict(self.field.choices).get(self.raw_value, EMPTY_VALUE)
elif isinstance(self.field, models.DateField) or isinstance(self.field, models.TimeField):
if self.raw_value:
if isinstance(self.field, models.DateTimeField):
objs = capfirst(formats.date_format(self.raw_value, 'DATETIME_FORMAT'))
elif isinstance(self.field, models.TimeField):
objs = capfirst(formats.time_format(self.raw_value, 'TIME_FORMAT'))
else:
objs = capfirst(formats.date_format(self.raw_value, 'DATE_FORMAT'))
else:
objs = EMPTY_VALUE
elif isinstance(self.field, models.BooleanField) or isinstance(self.field, models.NullBooleanField):
objs = {True: 'Yes', False: 'No', None: 'Unknown'}[self.raw_value]
else:
objs = self.raw_value
return [objs]
def urls(self):
"Returns a list of (value, URL) tuples."
# First, check the urls() method for each plugin.
plugin_urls = []
for plugin_name, plugin in self.model.model_databrowse().plugins.items():
urls = plugin.urls(plugin_name, self)
if urls is not None:
return zip(self.values(), urls)
if self.field.rel:
m = EasyModel(self.model.site, self.field.rel.to)
if self.field.rel.to in self.model.model_list:
lst = []
for value in self.values():
if value is None:
continue
url = '%s%s/%s/objects/%s/' % (self.model.site.root_url, m.model._meta.app_label, m.model._meta.module_name, iri_to_uri(value._get_pk_val()))
lst.append((smart_text(value), url))
else:
lst = [(value, None) for value in self.values()]
elif self.field.choices:
lst = []
for value in self.values():
url = '%s%s/%s/fields/%s/%s/' % (self.model.site.root_url, self.model.model._meta.app_label, self.model.model._meta.module_name, self.field.name, iri_to_uri(self.raw_value))
lst.append((value, url))
elif isinstance(self.field, models.URLField):
val = list(self.values())[0]
lst = [(val, iri_to_uri(val))]
else:
lst = [(list(self.values())[0], None)]
return lst
class EasyQuerySet(QuerySet):
"""
When creating (or cloning to) an `EasyQuerySet`, make sure to set the
`_easymodel` variable to the related `EasyModel`.
"""
def iterator(self, *args, **kwargs):
for obj in super(EasyQuerySet, self).iterator(*args, **kwargs):
yield EasyInstance(self._easymodel, obj)
def _clone(self, *args, **kwargs):
c = super(EasyQuerySet, self)._clone(*args, **kwargs)
c._easymodel = self._easymodel
return c
|
apache-2.0
|
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] |
specialkevin/ansible-modules-core
|
system/authorized_key.py
|
55
|
15877
|
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Ansible module to add authorized_keys for ssh logins.
(c) 2012, Brad Olson <brado@movedbylight.com>
This file is part of Ansible
Ansible is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Ansible is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with Ansible. If not, see <http://www.gnu.org/licenses/>.
"""
DOCUMENTATION = '''
---
module: authorized_key
short_description: Adds or removes an SSH authorized key
description:
- Adds or removes an SSH authorized key for a user from a remote host.
version_added: "0.5"
options:
user:
description:
- The username on the remote host whose authorized_keys file will be modified
required: true
default: null
key:
description:
- The SSH public key(s), as a string or (since 1.9) url (https://github.com/username.keys)
required: true
default: null
path:
description:
- Alternate path to the authorized_keys file
required: false
default: "(homedir)+/.ssh/authorized_keys"
version_added: "1.2"
manage_dir:
description:
- Whether this module should manage the directory of the authorized key file. If
set, the module will create the directory, as well as set the owner and permissions
of an existing directory. Be sure to
set C(manage_dir=no) if you are using an alternate directory for
authorized_keys, as set with C(path), since you could lock yourself out of
SSH access. See the example below.
required: false
choices: [ "yes", "no" ]
default: "yes"
version_added: "1.2"
state:
description:
- Whether the given key (with the given key_options) should or should not be in the file
required: false
choices: [ "present", "absent" ]
default: "present"
key_options:
description:
- A string of ssh key options to be prepended to the key in the authorized_keys file
required: false
default: null
version_added: "1.4"
exclusive:
description:
- Whether to remove all other non-specified keys from the authorized_keys file. Multiple keys
can be specified in a single C(key) string value by separating them by newlines.
- This option is not loop aware, so if you use C(with_) , it will be exclusive per iteration
of the loop, if you want multiple keys in the file you need to pass them all to C(key) in a
single batch as mentioned above.
required: false
choices: [ "yes", "no" ]
default: "no"
version_added: "1.9"
description:
- "Adds or removes authorized keys for particular user accounts"
author: "Brad Olson (@bradobro)"
'''
EXAMPLES = '''
# Example using key data from a local file on the management machine
- authorized_key: user=charlie key="{{ lookup('file', '/home/charlie/.ssh/id_rsa.pub') }}"
# Using github url as key source
- authorized_key: user=charlie key=https://github.com/charlie.keys
# Using alternate directory locations:
- authorized_key: user=charlie
key="{{ lookup('file', '/home/charlie/.ssh/id_rsa.pub') }}"
path='/etc/ssh/authorized_keys/charlie'
manage_dir=no
# Using with_file
- name: Set up authorized_keys for the deploy user
authorized_key: user=deploy
key="{{ item }}"
with_file:
- public_keys/doe-jane
- public_keys/doe-john
# Using key_options:
- authorized_key: user=charlie
key="{{ lookup('file', '/home/charlie/.ssh/id_rsa.pub') }}"
key_options='no-port-forwarding,from="10.0.1.1"'
# Set up authorized_keys exclusively with one key
- authorized_key: user=root key="{{ item }}" state=present
exclusive=yes
with_file:
- public_keys/doe-jane
'''
# Makes sure the public key line is present or absent in the user's .ssh/authorized_keys.
#
# Arguments
# =========
# user = username
# key = line to add to authorized_keys for user
# path = path to the user's authorized_keys file (default: ~/.ssh/authorized_keys)
# manage_dir = whether to create, and control ownership of the directory (default: true)
# state = absent|present (default: present)
#
# see example in examples/playbooks
import sys
import os
import pwd
import os.path
import tempfile
import re
import shlex
class keydict(dict):
""" a dictionary that maintains the order of keys as they are added """
# http://stackoverflow.com/questions/2328235/pythonextend-the-dict-class
def __init__(self, *args, **kw):
super(keydict,self).__init__(*args, **kw)
self.itemlist = super(keydict,self).keys()
def __setitem__(self, key, value):
self.itemlist.append(key)
super(keydict,self).__setitem__(key, value)
def __iter__(self):
return iter(self.itemlist)
def keys(self):
return self.itemlist
def values(self):
return [self[key] for key in self]
def itervalues(self):
return (self[key] for key in self)
def keyfile(module, user, write=False, path=None, manage_dir=True):
"""
Calculate name of authorized keys file, optionally creating the
directories and file, properly setting permissions.
:param str user: name of user in passwd file
:param bool write: if True, write changes to authorized_keys file (creating directories if needed)
:param str path: if not None, use provided path rather than default of '~user/.ssh/authorized_keys'
:param bool manage_dir: if True, create and set ownership of the parent dir of the authorized_keys file
:return: full path string to authorized_keys for user
"""
if module.check_mode and path is not None:
keysfile = path
return keysfile
try:
user_entry = pwd.getpwnam(user)
except KeyError, e:
if module.check_mode and path is None:
module.fail_json(msg="Either user must exist or you must provide full path to key file in check mode")
module.fail_json(msg="Failed to lookup user %s: %s" % (user, str(e)))
if path is None:
homedir = user_entry.pw_dir
sshdir = os.path.join(homedir, ".ssh")
keysfile = os.path.join(sshdir, "authorized_keys")
else:
sshdir = os.path.dirname(path)
keysfile = path
if not write:
return keysfile
uid = user_entry.pw_uid
gid = user_entry.pw_gid
if manage_dir:
if not os.path.exists(sshdir):
os.mkdir(sshdir, 0700)
if module.selinux_enabled():
module.set_default_selinux_context(sshdir, False)
os.chown(sshdir, uid, gid)
os.chmod(sshdir, 0700)
if not os.path.exists(keysfile):
basedir = os.path.dirname(keysfile)
if not os.path.exists(basedir):
os.makedirs(basedir)
try:
f = open(keysfile, "w") #touches file so we can set ownership and perms
finally:
f.close()
if module.selinux_enabled():
module.set_default_selinux_context(keysfile, False)
try:
os.chown(keysfile, uid, gid)
os.chmod(keysfile, 0600)
except OSError:
pass
return keysfile
def parseoptions(module, options):
'''
reads a string containing ssh-key options
and returns a dictionary of those options
'''
options_dict = keydict() #ordered dict
if options:
try:
# the following regex will split on commas while
# ignoring those commas that fall within quotes
regex = re.compile(r'''((?:[^,"']|"[^"]*"|'[^']*')+)''')
parts = regex.split(options)[1:-1]
for part in parts:
if "=" in part:
(key, value) = part.split("=", 1)
options_dict[key] = value
elif part != ",":
options_dict[part] = None
except:
module.fail_json(msg="invalid option string: %s" % options)
return options_dict
def parsekey(module, raw_key):
'''
parses a key, which may or may not contain a list
of ssh-key options at the beginning
'''
VALID_SSH2_KEY_TYPES = [
'ssh-ed25519',
'ecdsa-sha2-nistp256',
'ecdsa-sha2-nistp384',
'ecdsa-sha2-nistp521',
'ssh-dss',
'ssh-rsa',
]
options = None # connection options
key = None # encrypted key string
key_type = None # type of ssh key
type_index = None # index of keytype in key string|list
# remove comment yaml escapes
raw_key = raw_key.replace('\#', '#')
# split key safely
lex = shlex.shlex(raw_key)
lex.quotes = []
lex.commenters = '' #keep comment hashes
lex.whitespace_split = True
key_parts = list(lex)
for i in range(0, len(key_parts)):
if key_parts[i] in VALID_SSH2_KEY_TYPES:
type_index = i
key_type = key_parts[i]
break
# check for options
if type_index is None:
return None
elif type_index > 0:
options = " ".join(key_parts[:type_index])
# parse the options (if any)
options = parseoptions(module, options)
# get key after the type index
key = key_parts[(type_index + 1)]
# set comment to everything after the key
if len(key_parts) > (type_index + 1):
comment = " ".join(key_parts[(type_index + 2):])
return (key, key_type, options, comment)
def readkeys(module, filename):
if not os.path.isfile(filename):
return {}
keys = {}
f = open(filename)
for line in f.readlines():
key_data = parsekey(module, line)
if key_data:
# use key as identifier
keys[key_data[0]] = key_data
else:
# for an invalid line, just append the line
# to the array so it will be re-output later
keys[line] = line
f.close()
return keys
def writekeys(module, filename, keys):
fd, tmp_path = tempfile.mkstemp('', 'tmp', os.path.dirname(filename))
f = open(tmp_path,"w")
try:
for index, key in keys.items():
try:
(keyhash,type,options,comment) = key
option_str = ""
if options:
option_strings = []
for option_key in options.keys():
if options[option_key]:
option_strings.append("%s=%s" % (option_key, options[option_key]))
else:
option_strings.append("%s" % option_key)
option_str = ",".join(option_strings)
option_str += " "
key_line = "%s%s %s %s\n" % (option_str, type, keyhash, comment)
except:
key_line = key
f.writelines(key_line)
except IOError, e:
module.fail_json(msg="Failed to write to file %s: %s" % (tmp_path, str(e)))
f.close()
module.atomic_move(tmp_path, filename)
def enforce_state(module, params):
"""
Add or remove key.
"""
user = params["user"]
key = params["key"]
path = params.get("path", None)
manage_dir = params.get("manage_dir", True)
state = params.get("state", "present")
key_options = params.get("key_options", None)
exclusive = params.get("exclusive", False)
error_msg = "Error getting key from: %s"
# if the key is a url, request it and use it as key source
if key.startswith("http"):
try:
resp, info = fetch_url(module, key)
if info['status'] != 200:
module.fail_json(msg=error_msg % key)
else:
key = resp.read()
except Exception:
module.fail_json(msg=error_msg % key)
# extract individual keys into an array, skipping blank lines and comments
key = [s for s in key.splitlines() if s and not s.startswith('#')]
# check current state -- just get the filename, don't create file
do_write = False
params["keyfile"] = keyfile(module, user, do_write, path, manage_dir)
existing_keys = readkeys(module, params["keyfile"])
# Add a place holder for keys that should exist in the state=present and
# exclusive=true case
keys_to_exist = []
# Check our new keys, if any of them exist we'll continue.
for new_key in key:
parsed_new_key = parsekey(module, new_key)
if not parsed_new_key:
module.fail_json(msg="invalid key specified: %s" % new_key)
if key_options is not None:
parsed_options = parseoptions(module, key_options)
parsed_new_key = (parsed_new_key[0], parsed_new_key[1], parsed_options, parsed_new_key[3])
present = False
matched = False
non_matching_keys = []
if parsed_new_key[0] in existing_keys:
present = True
# Then we check if everything matches, including
# the key type and options. If not, we append this
# existing key to the non-matching list
# We only want it to match everything when the state
# is present
if parsed_new_key != existing_keys[parsed_new_key[0]] and state == "present":
non_matching_keys.append(existing_keys[parsed_new_key[0]])
else:
matched = True
# handle idempotent state=present
if state=="present":
keys_to_exist.append(parsed_new_key[0])
if len(non_matching_keys) > 0:
for non_matching_key in non_matching_keys:
if non_matching_key[0] in existing_keys:
del existing_keys[non_matching_key[0]]
do_write = True
if not matched:
existing_keys[parsed_new_key[0]] = parsed_new_key
do_write = True
elif state=="absent":
if not matched:
continue
del existing_keys[parsed_new_key[0]]
do_write = True
# remove all other keys to honor exclusive
if state == "present" and exclusive:
to_remove = frozenset(existing_keys).difference(keys_to_exist)
for key in to_remove:
del existing_keys[key]
do_write = True
if do_write:
if module.check_mode:
module.exit_json(changed=True)
writekeys(module, keyfile(module, user, do_write, path, manage_dir), existing_keys)
params['changed'] = True
else:
if module.check_mode:
module.exit_json(changed=False)
return params
def main():
module = AnsibleModule(
argument_spec = dict(
user = dict(required=True, type='str'),
key = dict(required=True, type='str'),
path = dict(required=False, type='str'),
manage_dir = dict(required=False, type='bool', default=True),
state = dict(default='present', choices=['absent','present']),
key_options = dict(required=False, type='str'),
unique = dict(default=False, type='bool'),
exclusive = dict(default=False, type='bool'),
),
supports_check_mode=True
)
results = enforce_state(module, module.params)
module.exit_json(**results)
# import module snippets
from ansible.module_utils.basic import *
from ansible.module_utils.urls import *
main()
|
gpl-3.0
|
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TeamExodus/external_chromium_org
|
content/test/gpu/gpu_tests/memory_test.py
|
26
|
4403
|
# Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import memory_test_expectations
import page_sets
from telemetry import benchmark
from telemetry.page import page_test
from telemetry.core.platform import tracing_category_filter
from telemetry.core.platform import tracing_options
from telemetry.timeline import counter
from telemetry.timeline import model
MEMORY_LIMIT_MB = 192
SINGLE_TAB_LIMIT_MB = 192
WIGGLE_ROOM_MB = 12
test_harness_script = r"""
var domAutomationController = {};
domAutomationController._finished = false;
domAutomationController.send = function(msg) {
// This should wait until all effects of memory management complete.
// We will need to wait until all
// 1. pending commits from the main thread to the impl thread in the
// compositor complete (for visible compositors).
// 2. allocations that the renderer's impl thread will make due to the
// compositor and WebGL are completed.
// 3. pending GpuMemoryManager::Manage() calls to manage are made.
// 4. renderers' OnMemoryAllocationChanged callbacks in response to
// manager are made.
// Each step in this sequence can cause trigger the next (as a 1-2-3-4-1
// cycle), so we will need to pump this cycle until it stabilizes.
// Pump the cycle 8 times (in principle it could take an infinite number
// of iterations to settle).
var rafCount = 0;
// Impl-side painting has changed the behavior of this test.
// Currently the background of the page shows up checkerboarded
// initially, causing the test to fail because the memory
// allocation is too low (no root layer). Temporarily increase the
// rAF count to 32 in order to make the test work reliably again.
// crbug.com/373098
// TODO(kbr): revert this change and put it back to 8 iterations.
var totalRafCount = 32;
function pumpRAF() {
if (rafCount == totalRafCount) {
domAutomationController._finished = true;
return;
}
++rafCount;
window.requestAnimationFrame(pumpRAF);
}
pumpRAF();
}
window.domAutomationController = domAutomationController;
window.addEventListener("load", function() {
useGpuMemory(%d);
}, false);
""" % MEMORY_LIMIT_MB
class _MemoryValidator(page_test.PageTest):
def ValidateAndMeasurePage(self, page, tab, results):
timeline_data = tab.browser.platform.tracing_controller.Stop()
timeline_model = model.TimelineModel(timeline_data)
for process in timeline_model.GetAllProcesses():
if 'gpu.GpuMemoryUsage' in process.counters:
counter = process.GetCounter('gpu', 'GpuMemoryUsage')
mb_used = counter.samples[-1] / 1048576
if mb_used + WIGGLE_ROOM_MB < SINGLE_TAB_LIMIT_MB:
raise page_test.Failure(self._FormatException('low', mb_used))
if mb_used - WIGGLE_ROOM_MB > MEMORY_LIMIT_MB:
raise page_test.Failure(self._FormatException('high', mb_used))
def CustomizeBrowserOptions(self, options):
options.AppendExtraBrowserArgs('--enable-logging')
options.AppendExtraBrowserArgs(
'--force-gpu-mem-available-mb=%s' % MEMORY_LIMIT_MB)
def WillNavigateToPage(self, page, tab):
# FIXME: Remove webkit.console when blink.console lands in chromium and the
# ref builds are updated. crbug.com/386847
custom_categories = ['webkit.console', 'blink.console', 'gpu']
category_filter = tracing_category_filter.TracingCategoryFilter()
for c in custom_categories:
category_filter.AddIncludedCategory(c)
options = tracing_options.TracingOptions()
options.enable_chrome_trace = True
tab.browser.platform.tracing_controller.Start(options, category_filter, 60)
def _FormatException(self, low_or_high, mb_used):
return 'Memory allocation too %s (was %d MB, should be %d MB +/- %d MB)' % (
low_or_high, mb_used, SINGLE_TAB_LIMIT_MB, WIGGLE_ROOM_MB)
class MemoryTest(benchmark.Benchmark):
"""Tests GPU memory limits"""
test = _MemoryValidator
def CreateExpectations(self, page_set):
return memory_test_expectations.MemoryTestExpectations()
def CreatePageSet(self, options):
page_set = page_sets.MemoryTestsPageSet()
for page in page_set.pages:
page.script_to_evaluate_on_commit = test_harness_script
return page_set
|
bsd-3-clause
|
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] |
bikong2/django
|
tests/nested_foreign_keys/tests.py
|
174
|
9494
|
from __future__ import unicode_literals
from django.test import TestCase
from .models import (
Event, Movie, Package, PackageNullFK, Person, Screening, ScreeningNullFK,
)
# These are tests for #16715. The basic scheme is always the same: 3 models with
# 2 relations. The first relation may be null, while the second is non-nullable.
# In some cases, Django would pick the wrong join type for the second relation,
# resulting in missing objects in the queryset.
#
# Model A
# | (Relation A/B : nullable)
# Model B
# | (Relation B/C : non-nullable)
# Model C
#
# Because of the possibility of NULL rows resulting from the LEFT OUTER JOIN
# between Model A and Model B (i.e. instances of A without reference to B),
# the second join must also be LEFT OUTER JOIN, so that we do not ignore
# instances of A that do not reference B.
#
# Relation A/B can either be an explicit foreign key or an implicit reverse
# relation such as introduced by one-to-one relations (through multi-table
# inheritance).
class NestedForeignKeysTests(TestCase):
def setUp(self):
self.director = Person.objects.create(name='Terry Gilliam / Terry Jones')
self.movie = Movie.objects.create(title='Monty Python and the Holy Grail', director=self.director)
# This test failed in #16715 because in some cases INNER JOIN was selected
# for the second foreign key relation instead of LEFT OUTER JOIN.
def test_inheritance(self):
Event.objects.create()
Screening.objects.create(movie=self.movie)
self.assertEqual(len(Event.objects.all()), 2)
self.assertEqual(len(Event.objects.select_related('screening')), 2)
# This failed.
self.assertEqual(len(Event.objects.select_related('screening__movie')), 2)
self.assertEqual(len(Event.objects.values()), 2)
self.assertEqual(len(Event.objects.values('screening__pk')), 2)
self.assertEqual(len(Event.objects.values('screening__movie__pk')), 2)
self.assertEqual(len(Event.objects.values('screening__movie__title')), 2)
# This failed.
self.assertEqual(len(Event.objects.values('screening__movie__pk', 'screening__movie__title')), 2)
# Simple filter/exclude queries for good measure.
self.assertEqual(Event.objects.filter(screening__movie=self.movie).count(), 1)
self.assertEqual(Event.objects.exclude(screening__movie=self.movie).count(), 1)
# These all work because the second foreign key in the chain has null=True.
def test_inheritance_null_FK(self):
Event.objects.create()
ScreeningNullFK.objects.create(movie=None)
ScreeningNullFK.objects.create(movie=self.movie)
self.assertEqual(len(Event.objects.all()), 3)
self.assertEqual(len(Event.objects.select_related('screeningnullfk')), 3)
self.assertEqual(len(Event.objects.select_related('screeningnullfk__movie')), 3)
self.assertEqual(len(Event.objects.values()), 3)
self.assertEqual(len(Event.objects.values('screeningnullfk__pk')), 3)
self.assertEqual(len(Event.objects.values('screeningnullfk__movie__pk')), 3)
self.assertEqual(len(Event.objects.values('screeningnullfk__movie__title')), 3)
self.assertEqual(len(Event.objects.values('screeningnullfk__movie__pk', 'screeningnullfk__movie__title')), 3)
self.assertEqual(Event.objects.filter(screeningnullfk__movie=self.movie).count(), 1)
self.assertEqual(Event.objects.exclude(screeningnullfk__movie=self.movie).count(), 2)
def test_null_exclude(self):
screening = ScreeningNullFK.objects.create(movie=None)
ScreeningNullFK.objects.create(movie=self.movie)
self.assertEqual(
list(ScreeningNullFK.objects.exclude(movie__id=self.movie.pk)),
[screening])
# This test failed in #16715 because in some cases INNER JOIN was selected
# for the second foreign key relation instead of LEFT OUTER JOIN.
def test_explicit_ForeignKey(self):
Package.objects.create()
screening = Screening.objects.create(movie=self.movie)
Package.objects.create(screening=screening)
self.assertEqual(len(Package.objects.all()), 2)
self.assertEqual(len(Package.objects.select_related('screening')), 2)
self.assertEqual(len(Package.objects.select_related('screening__movie')), 2)
self.assertEqual(len(Package.objects.values()), 2)
self.assertEqual(len(Package.objects.values('screening__pk')), 2)
self.assertEqual(len(Package.objects.values('screening__movie__pk')), 2)
self.assertEqual(len(Package.objects.values('screening__movie__title')), 2)
# This failed.
self.assertEqual(len(Package.objects.values('screening__movie__pk', 'screening__movie__title')), 2)
self.assertEqual(Package.objects.filter(screening__movie=self.movie).count(), 1)
self.assertEqual(Package.objects.exclude(screening__movie=self.movie).count(), 1)
# These all work because the second foreign key in the chain has null=True.
def test_explicit_ForeignKey_NullFK(self):
PackageNullFK.objects.create()
screening = ScreeningNullFK.objects.create(movie=None)
screening_with_movie = ScreeningNullFK.objects.create(movie=self.movie)
PackageNullFK.objects.create(screening=screening)
PackageNullFK.objects.create(screening=screening_with_movie)
self.assertEqual(len(PackageNullFK.objects.all()), 3)
self.assertEqual(len(PackageNullFK.objects.select_related('screening')), 3)
self.assertEqual(len(PackageNullFK.objects.select_related('screening__movie')), 3)
self.assertEqual(len(PackageNullFK.objects.values()), 3)
self.assertEqual(len(PackageNullFK.objects.values('screening__pk')), 3)
self.assertEqual(len(PackageNullFK.objects.values('screening__movie__pk')), 3)
self.assertEqual(len(PackageNullFK.objects.values('screening__movie__title')), 3)
self.assertEqual(len(PackageNullFK.objects.values('screening__movie__pk', 'screening__movie__title')), 3)
self.assertEqual(PackageNullFK.objects.filter(screening__movie=self.movie).count(), 1)
self.assertEqual(PackageNullFK.objects.exclude(screening__movie=self.movie).count(), 2)
# Some additional tests for #16715. The only difference is the depth of the
# nesting as we now use 4 models instead of 3 (and thus 3 relations). This
# checks if promotion of join types works for deeper nesting too.
class DeeplyNestedForeignKeysTests(TestCase):
def setUp(self):
self.director = Person.objects.create(name='Terry Gilliam / Terry Jones')
self.movie = Movie.objects.create(title='Monty Python and the Holy Grail', director=self.director)
def test_inheritance(self):
Event.objects.create()
Screening.objects.create(movie=self.movie)
self.assertEqual(len(Event.objects.all()), 2)
self.assertEqual(len(Event.objects.select_related('screening__movie__director')), 2)
self.assertEqual(len(Event.objects.values()), 2)
self.assertEqual(len(Event.objects.values('screening__movie__director__pk')), 2)
self.assertEqual(len(Event.objects.values('screening__movie__director__name')), 2)
self.assertEqual(
len(Event.objects.values('screening__movie__director__pk', 'screening__movie__director__name')),
2
)
self.assertEqual(len(Event.objects.values('screening__movie__pk', 'screening__movie__director__pk')), 2)
self.assertEqual(len(Event.objects.values('screening__movie__pk', 'screening__movie__director__name')), 2)
self.assertEqual(len(Event.objects.values('screening__movie__title', 'screening__movie__director__pk')), 2)
self.assertEqual(len(Event.objects.values('screening__movie__title', 'screening__movie__director__name')), 2)
self.assertEqual(Event.objects.filter(screening__movie__director=self.director).count(), 1)
self.assertEqual(Event.objects.exclude(screening__movie__director=self.director).count(), 1)
def test_explicit_ForeignKey(self):
Package.objects.create()
screening = Screening.objects.create(movie=self.movie)
Package.objects.create(screening=screening)
self.assertEqual(len(Package.objects.all()), 2)
self.assertEqual(len(Package.objects.select_related('screening__movie__director')), 2)
self.assertEqual(len(Package.objects.values()), 2)
self.assertEqual(len(Package.objects.values('screening__movie__director__pk')), 2)
self.assertEqual(len(Package.objects.values('screening__movie__director__name')), 2)
self.assertEqual(
len(Package.objects.values('screening__movie__director__pk', 'screening__movie__director__name')),
2
)
self.assertEqual(len(Package.objects.values('screening__movie__pk', 'screening__movie__director__pk')), 2)
self.assertEqual(len(Package.objects.values('screening__movie__pk', 'screening__movie__director__name')), 2)
self.assertEqual(len(Package.objects.values('screening__movie__title', 'screening__movie__director__pk')), 2)
self.assertEqual(len(Package.objects.values('screening__movie__title', 'screening__movie__director__name')), 2)
self.assertEqual(Package.objects.filter(screening__movie__director=self.director).count(), 1)
self.assertEqual(Package.objects.exclude(screening__movie__director=self.director).count(), 1)
|
bsd-3-clause
|
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j0nathan33/CouchPotatoServer
|
couchpotato/core/media/movie/charts/main.py
|
9
|
2409
|
import time
from couchpotato.core.logger import CPLog
from couchpotato.api import addApiView
from couchpotato.core.event import addEvent,fireEvent
from couchpotato.core.plugins.base import Plugin
import tmdb3
log = CPLog(__name__)
class Charts(Plugin):
update_in_progress = False
update_interval = 72 # hours
def __init__(self):
addApiView('charts.view', self.automationView)
addEvent('app.load', self.setCrons)
def setCrons(self):
fireEvent('schedule.interval', 'charts.update_cache', self.updateViewCache, hours = self.update_interval)
def automationView(self, force_update = False, **kwargs):
if force_update:
charts = self.updateViewCache()
else:
charts = self.getCache('charts_cached')
if not charts:
charts = self.updateViewCache()
y=0
for chart in charts:
x=0
for item in chart['list']:
movie = tmdb3.Movie(item['imdb'])
try:
charts[y]['list'][x]['plot']=movie.overview
charts[y]['list'][x]['titles'][0]=movie.title
charts[y]['list'][x]['images']['poster'][0]=charts[y]['list'][x]['images']['poster_original'][y][:charts[y]['list'][x]['images']['poster_original'][0].rfind('/')+1]+movie.posters[0].filename
except:
x+=1
continue
x+=1
y+=1
return {
'success': True,
'count': len(charts),
'charts': charts
}
def updateViewCache(self):
if self.update_in_progress:
while self.update_in_progress:
time.sleep(1)
catched_charts = self.getCache('charts_cached')
if catched_charts:
return catched_charts
charts = []
try:
self.update_in_progress = True
charts = fireEvent('automation.get_chart_list', merge = True)
for chart in charts:
chart['hide_wanted'] = self.conf('hide_wanted')
chart['hide_library'] = self.conf('hide_library')
self.setCache('charts_cached', charts, timeout = self.update_interval * 3600)
except:
log.error('Failed refreshing charts')
self.update_in_progress = False
return charts
|
gpl-3.0
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walteryang47/ovirt-engine
|
packaging/setup/plugins/ovirt-engine-setup/ovirt-engine/upgrade/async_tasks_map.py
|
8
|
3443
|
#
# ovirt-engine-setup -- ovirt engine setup
# Copyright (C) 2013 Red Hat, 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.
#
"""ASYNC TASKS MAP Constant."""
ASYNC_TASKS_MAP = {
'0': [
'Unknown',
'Unknown Task',
],
'1': [
'AddVmCommand',
'Adding a virtual machine',
],
'3': [
'AddVmFromScratch',
'Adding a virtual machine from scrtach',
],
'2': [
'AddVmFromTemplate',
'Adding a virtual machine based on a template',
],
'7': [
'StopVmCommand',
'Stopping a virtual machine',
],
'8': [
'ShutdownVmCommand',
'Shutting down a virtual machine',
],
'11': [
'HibernateVmCommand',
'Hibernating a virtual machine',
],
'12': [
'RunVmCommand',
'Running a virtual machine',
],
'13': [
'RunVmOnceCommand',
'Running a virtual machine once',
],
'14': [
'MigrateVmCommand',
'Migrating a virtual machine',
],
'16': [
'MigrateVmToServerCommand',
'Migrating a virtual machine to a dedicated server',
],
'15': [
'InternalMigrateVmCommand',
'Migrating a virtual machine due to an internal engine flow',
],
'23': [
'ExportVmCommand',
'Exporting a virtual machine to an export domain',
],
'24': [
'ExportVmTemplateCommand',
'Exporting a template to an export domain',
],
'26': [
'ImportVmCommand',
'Importing a virtual machine from an export domain',
],
'31': [
'AddDiskToVmCommand',
'Adding disk to virtual machine',
],
'32': [
'RemoveDiskFromVmCommand',
'Removing disk from a virtual machine',
],
'39': [
'ImportVmTemplateCommand',
'Importing a temaplte from an export domain',
],
'201': [
'AddVmTemplateCommand',
'Adding a template',
],
'203': [
'RemoveVmTemplateCommand',
'Removing a template',
],
'208': [
'CreateSnapshotFromTemplateCommand',
'Creating a snapshot of a template',
],
'210': [
'MergeSnapshotCommand',
'Merging a snapshot of a virtual machine',
],
'212': [
'RemoveAllVmImagesCommand',
'Removing all images from virtual machine',
],
'216': [
'RemoveAllVmTemplateImageTemplatesCommand',
'Removing all images of a template',
],
'226': [
'MoveOrCopyTemplateCommand',
'Moving or Copying a template image',
],
'228': [
'MoveMultipleImageGroupCommand',
'Moving multiple disks',
],
'314': [
'RemoveVmFromPoolCommand ',
'Removing virtual maching from pool',
],
'1010': [
'LiveMigrateDisk',
'Migrating Live Disk',
],
'1011': [
'MoveDisk',
'Move Disk',
],
}
|
apache-2.0
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lauria/Samba4
|
source4/scripting/python/samba/tests/core.py
|
2
|
2175
|
#!/usr/bin/env python
# Unix SMB/CIFS implementation.
# Copyright (C) Jelmer Vernooij <jelmer@samba.org> 2007-2008
#
# 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/>.
#
"""Samba Python tests."""
import ldb
import os
import samba
from samba.tests import TestCase, TestCaseInTempDir
class SubstituteVarTestCase(TestCase):
def test_empty(self):
self.assertEquals("", samba.substitute_var("", {}))
def test_nothing(self):
self.assertEquals("foo bar",
samba.substitute_var("foo bar", {"bar": "bla"}))
def test_replace(self):
self.assertEquals("foo bla",
samba.substitute_var("foo ${bar}", {"bar": "bla"}))
def test_broken(self):
self.assertEquals("foo ${bdkjfhsdkfh sdkfh ",
samba.substitute_var("foo ${bdkjfhsdkfh sdkfh ", {"bar": "bla"}))
def test_unknown_var(self):
self.assertEquals("foo ${bla} gsff",
samba.substitute_var("foo ${bla} gsff", {"bar": "bla"}))
def test_check_all_substituted(self):
samba.check_all_substituted("nothing to see here")
self.assertRaises(Exception, samba.check_all_substituted,
"Not subsituted: ${FOOBAR}")
class LdbExtensionTests(TestCaseInTempDir):
def test_searchone(self):
path = self.tempdir + "/searchone.ldb"
l = samba.Ldb(path)
try:
l.add({"dn": "foo=dc", "bar": "bla"})
self.assertEquals("bla",
l.searchone(basedn=ldb.Dn(l, "foo=dc"), attribute="bar"))
finally:
del l
os.unlink(path)
|
gpl-3.0
|
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crazyyoung01/vv
|
vn.qdp/pyscript/generate_md_functions.py
|
15
|
10378
|
# encoding: UTF-8
__author__ = 'CHENXY'
from string import join
from qdp_struct import structDict
def processCallBack(line):
orignalLine = line
line = line.replace('\tvirtual void ', '') # 删除行首的无效内容
line = line.replace('{};\n', '') # 删除行尾的无效内容
content = line.split('(')
cbName = content[0] # 回调函数名称
cbArgs = content[1] # 回调函数参数
if cbArgs[-1] == ' ':
cbArgs = cbArgs.replace(') ', '')
else:
cbArgs = cbArgs.replace(')', '')
cbArgsList = cbArgs.split(', ') # 将每个参数转化为列表
cbArgsTypeList = []
cbArgsValueList = []
for arg in cbArgsList: # 开始处理参数
content = arg.split(' ')
if len(content) > 1:
cbArgsTypeList.append(content[0]) # 参数类型列表
cbArgsValueList.append(content[1]) # 参数数据列表
createTask(cbName, cbArgsTypeList, cbArgsValueList, orignalLine)
createProcess(cbName, cbArgsTypeList, cbArgsValueList)
# 生成.h文件中的process部分
process_line = 'void process' + cbName[2:] + '(Task task);\n'
fheaderprocess.write(process_line)
fheaderprocess.write('\n')
# 生成.h文件中的on部分
if 'OnRspError' in cbName:
on_line = 'virtual void on' + cbName[2:] + '(dict error, int id, bool last) {};\n'
elif 'OnRsp' in cbName:
on_line = 'virtual void on' + cbName[2:] + '(dict data, dict error, int id, bool last) {};\n'
elif 'OnRtn' in cbName:
on_line = 'virtual void on' + cbName[2:] + '(dict data) {};\n'
elif 'OnErrRtn' in cbName:
on_line = 'virtual void on' + cbName[2:] + '(dict data, dict error) {};\n'
else:
on_line = ''
fheaderon.write(on_line)
fheaderon.write('\n')
# 生成封装部分
createWrap(cbName)
#----------------------------------------------------------------------
def createWrap(cbName):
"""在Python封装段代码中进行处理"""
# 生成.h文件中的on部分
if 'OnRspError' in cbName:
on_line = 'virtual void on' + cbName[2:] + '(dict error, int id, bool last)\n'
override_line = '("on' + cbName[2:] + '")(error, id, last);\n'
elif 'OnRsp' in cbName:
on_line = 'virtual void on' + cbName[2:] + '(dict data, dict error, int id, bool last)\n'
override_line = '("on' + cbName[2:] + '")(data, error, id, last);\n'
elif 'OnRtn' in cbName:
on_line = 'virtual void on' + cbName[2:] + '(dict data)\n'
override_line = '("on' + cbName[2:] + '")(data);\n'
elif 'OnErrRtn' in cbName:
on_line = 'virtual void on' + cbName[2:] + '(dict data, dict error)\n'
override_line = '("on' + cbName[2:] + '")(data, error);\n'
else:
on_line = ''
if on_line is not '':
fwrap.write(on_line)
fwrap.write('{\n')
fwrap.write('\ttry\n')
fwrap.write('\t{\n')
fwrap.write('\t\tthis->get_override'+override_line)
fwrap.write('\t}\n')
fwrap.write('\tcatch (error_already_set const &)\n')
fwrap.write('\t{\n')
fwrap.write('\t\tPyErr_Print();\n')
fwrap.write('\t}\n')
fwrap.write('};\n')
fwrap.write('\n')
def createTask(cbName, cbArgsTypeList, cbArgsValueList, orignalLine):
# 从回调函数生成任务对象，并放入队列
funcline = orignalLine.replace('\tvirtual void ', 'void ' + apiName + '::')
funcline = funcline.replace('{};', '')
ftask.write(funcline)
ftask.write('{\n')
ftask.write("\tTask task = Task();\n")
ftask.write("\ttask.task_name = " + cbName.upper() + ";\n")
# define常量
global define_count
fdefine.write("#define " + cbName.upper() + ' ' + str(define_count) + '\n')
define_count = define_count + 1
# switch段代码
fswitch.write("case " + cbName.upper() + ':\n')
fswitch.write("{\n")
fswitch.write("\tthis->" + cbName.replace('On', 'process') + '(task);\n')
fswitch.write("\tbreak;\n")
fswitch.write("}\n")
fswitch.write("\n")
for i, type_ in enumerate(cbArgsTypeList):
if type_ == 'int':
ftask.write("\ttask.task_id = " + cbArgsValueList[i] + ";\n")
elif type_ == 'bool':
ftask.write("\ttask.task_last = " + cbArgsValueList[i] + ";\n")
elif 'RspInfoField' in type_:
ftask.write("\n")
ftask.write("\tif (pRspInfo)\n")
ftask.write("\t{\n")
ftask.write("\t\ttask.task_error = " + cbArgsValueList[i] + ";\n")
ftask.write("\t}\n")
ftask.write("\telse\n")
ftask.write("\t{\n")
ftask.write("\t\tCQdpFtdcRspInfoField empty_error = CQdpFtdcRspInfoField();\n")
ftask.write("\t\tmemset(&empty_error, 0, sizeof(empty_error));\n")
ftask.write("\t\ttask.task_error = empty_error;\n")
ftask.write("\t}\n")
else:
ftask.write("\n")
ftask.write("\tif (" + cbArgsValueList[i][1:] + ")\n")
ftask.write("\t{\n")
ftask.write("\t\ttask.task_data = " + cbArgsValueList[i] + ";\n")
ftask.write("\t}\n")
ftask.write("\telse\n")
ftask.write("\t{\n")
ftask.write("\t\t" + type_ + " empty_data = " + type_ + "();\n")
ftask.write("\t\tmemset(&empty_data, 0, sizeof(empty_data));\n")
ftask.write("\t\ttask.task_data = empty_data;\n")
ftask.write("\t}\n")
ftask.write("\tthis->task_queue.push(task);\n")
ftask.write("};\n")
ftask.write("\n")
def createProcess(cbName, cbArgsTypeList, cbArgsValueList):
# 从队列中提取任务，并转化为python字典
fprocess.write("void " + apiName + '::' + cbName.replace('On', 'process') + '(Task task)' + "\n")
fprocess.write("{\n")
fprocess.write("\tPyLock lock;\n")
onArgsList = []
for i, type_ in enumerate(cbArgsTypeList):
if 'RspInfoField' in type_:
fprocess.write("\t"+ type_ + ' task_error = any_cast<' + type_ + '>(task.task_error);\n')
fprocess.write("\t"+ "dict error;\n")
struct = structDict[type_]
for key in struct.keys():
fprocess.write("\t"+ 'error["' + key + '"] = task_error.' + key + ';\n')
fprocess.write("\n")
onArgsList.append('error')
elif type_ in structDict:
fprocess.write("\t"+ type_ + ' task_data = any_cast<' + type_ + '>(task.task_data);\n')
fprocess.write("\t"+ "dict data;\n")
struct = structDict[type_]
for key in struct.keys():
fprocess.write("\t"+ 'data["' + key + '"] = task_data.' + key + ';\n')
fprocess.write("\n")
onArgsList.append('data')
elif type_ == 'bool':
onArgsList.append('task.task_last')
elif type_ == 'int':
onArgsList.append('task.task_id')
onArgs = join(onArgsList, ', ')
fprocess.write('\tthis->' + cbName.replace('On', 'on') + '(' + onArgs +');\n')
fprocess.write("};\n")
fprocess.write("\n")
def processFunction(line):
line = line.replace('\tvirtual int ', '') # 删除行首的无效内容
line = line.replace(') = 0;\n', '') # 删除行尾的无效内容
content = line.split('(')
fcName = content[0] # 回调函数名称
fcArgs = content[1] # 回调函数参数
fcArgs = fcArgs.replace(')', '')
fcArgsList = fcArgs.split(', ') # 将每个参数转化为列表
fcArgsTypeList = []
fcArgsValueList = []
for arg in fcArgsList: # 开始处理参数
content = arg.split(' ')
if len(content) > 1:
fcArgsTypeList.append(content[0]) # 参数类型列表
fcArgsValueList.append(content[1]) # 参数数据列表
if len(fcArgsTypeList)>0 and fcArgsTypeList[0] in structDict:
createFunction(fcName, fcArgsTypeList, fcArgsValueList)
# 生成.h文件中的主动函数部分
if 'Req' in fcName:
req_line = 'int req' + fcName[3:] + '(dict req, int nRequestID);\n'
fheaderfunction.write(req_line)
fheaderfunction.write('\n')
def createFunction(fcName, fcArgsTypeList, fcArgsValueList):
type_ = fcArgsTypeList[0]
struct = structDict[type_]
ffunction.write('int MdApi::req' + fcName[3:] + '(dict req, int nRequestID)\n')
ffunction.write('{\n')
ffunction.write('\t' + type_ +' myreq = ' + type_ + '();\n')
ffunction.write('\tmemset(&myreq, 0, sizeof(myreq));\n')
for key, value in struct.items():
if value == 'string':
line = '\tgetStr(req, "' + key + '", myreq.' + key + ');\n'
elif value == 'char':
line = '\tgetChar(req, "' + key + '", &myreq.' + key + ');\n'
elif value == 'int':
line = '\tgetInt(req, "' + key + '", &myreq.' + key + ');\n'
elif value == 'double':
line = '\tgetDouble(req, "' + key + '", &myreq.' + key + ');\n'
ffunction.write(line)
ffunction.write('\tint i = this->api->' + fcName + '(&myreq, nRequestID);\n')
ffunction.write('\treturn i;\n')
ffunction.write('};\n')
ffunction.write('\n')
#########################################################
apiName = 'MdApi'
fcpp = open('QdpFtdcMdApi.h', 'r')
ftask = open('qdp_md_task.cpp', 'w')
fprocess = open('qdp_md_process.cpp', 'w')
ffunction = open('qdp_md_function.cpp', 'w')
fdefine = open('qdp_md_define.cpp', 'w')
fswitch = open('qdp_md_switch.cpp', 'w')
fheaderprocess = open('qdp_md_header_process.h', 'w')
fheaderon = open('qdp_md_header_on.h', 'w')
fheaderfunction = open('qdp_md_header_function.h', 'w')
fwrap = open('qdp_md_wrap.cpp', 'w')
define_count = 1
for line in fcpp:
if "\tvirtual void On" in line:
processCallBack(line)
elif "\tvirtual int" in line:
processFunction(line)
fcpp.close()
ftask.close()
fprocess.close()
ffunction.close()
fswitch.close()
fdefine.close()
fheaderprocess.close()
fheaderon.close()
fheaderfunction.close()
fwrap.close()
|
mit
|
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HiroIshikawa/21playground
|
flask-rethink/env/lib/python3.5/site-packages/pip/_vendor/colorama/win32.py
|
446
|
5121
|
# Copyright Jonathan Hartley 2013. BSD 3-Clause license, see LICENSE file.
# from winbase.h
STDOUT = -11
STDERR = -12
try:
import ctypes
from ctypes import LibraryLoader
windll = LibraryLoader(ctypes.WinDLL)
from ctypes import wintypes
except (AttributeError, ImportError):
windll = None
SetConsoleTextAttribute = lambda *_: None
else:
from ctypes import byref, Structure, c_char, POINTER
COORD = wintypes._COORD
class CONSOLE_SCREEN_BUFFER_INFO(Structure):
"""struct in wincon.h."""
_fields_ = [
("dwSize", COORD),
("dwCursorPosition", COORD),
("wAttributes", wintypes.WORD),
("srWindow", wintypes.SMALL_RECT),
("dwMaximumWindowSize", COORD),
]
def __str__(self):
return '(%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d)' % (
self.dwSize.Y, self.dwSize.X
, self.dwCursorPosition.Y, self.dwCursorPosition.X
, self.wAttributes
, self.srWindow.Top, self.srWindow.Left, self.srWindow.Bottom, self.srWindow.Right
, self.dwMaximumWindowSize.Y, self.dwMaximumWindowSize.X
)
_GetStdHandle = windll.kernel32.GetStdHandle
_GetStdHandle.argtypes = [
wintypes.DWORD,
]
_GetStdHandle.restype = wintypes.HANDLE
_GetConsoleScreenBufferInfo = windll.kernel32.GetConsoleScreenBufferInfo
_GetConsoleScreenBufferInfo.argtypes = [
wintypes.HANDLE,
POINTER(CONSOLE_SCREEN_BUFFER_INFO),
]
_GetConsoleScreenBufferInfo.restype = wintypes.BOOL
_SetConsoleTextAttribute = windll.kernel32.SetConsoleTextAttribute
_SetConsoleTextAttribute.argtypes = [
wintypes.HANDLE,
wintypes.WORD,
]
_SetConsoleTextAttribute.restype = wintypes.BOOL
_SetConsoleCursorPosition = windll.kernel32.SetConsoleCursorPosition
_SetConsoleCursorPosition.argtypes = [
wintypes.HANDLE,
COORD,
]
_SetConsoleCursorPosition.restype = wintypes.BOOL
_FillConsoleOutputCharacterA = windll.kernel32.FillConsoleOutputCharacterA
_FillConsoleOutputCharacterA.argtypes = [
wintypes.HANDLE,
c_char,
wintypes.DWORD,
COORD,
POINTER(wintypes.DWORD),
]
_FillConsoleOutputCharacterA.restype = wintypes.BOOL
_FillConsoleOutputAttribute = windll.kernel32.FillConsoleOutputAttribute
_FillConsoleOutputAttribute.argtypes = [
wintypes.HANDLE,
wintypes.WORD,
wintypes.DWORD,
COORD,
POINTER(wintypes.DWORD),
]
_FillConsoleOutputAttribute.restype = wintypes.BOOL
_SetConsoleTitleW = windll.kernel32.SetConsoleTitleA
_SetConsoleTitleW.argtypes = [
wintypes.LPCSTR
]
_SetConsoleTitleW.restype = wintypes.BOOL
handles = {
STDOUT: _GetStdHandle(STDOUT),
STDERR: _GetStdHandle(STDERR),
}
def GetConsoleScreenBufferInfo(stream_id=STDOUT):
handle = handles[stream_id]
csbi = CONSOLE_SCREEN_BUFFER_INFO()
success = _GetConsoleScreenBufferInfo(
handle, byref(csbi))
return csbi
def SetConsoleTextAttribute(stream_id, attrs):
handle = handles[stream_id]
return _SetConsoleTextAttribute(handle, attrs)
def SetConsoleCursorPosition(stream_id, position, adjust=True):
position = COORD(*position)
# If the position is out of range, do nothing.
if position.Y <= 0 or position.X <= 0:
return
# Adjust for Windows' SetConsoleCursorPosition:
# 1. being 0-based, while ANSI is 1-based.
# 2. expecting (x,y), while ANSI uses (y,x).
adjusted_position = COORD(position.Y - 1, position.X - 1)
if adjust:
# Adjust for viewport's scroll position
sr = GetConsoleScreenBufferInfo(STDOUT).srWindow
adjusted_position.Y += sr.Top
adjusted_position.X += sr.Left
# Resume normal processing
handle = handles[stream_id]
return _SetConsoleCursorPosition(handle, adjusted_position)
def FillConsoleOutputCharacter(stream_id, char, length, start):
handle = handles[stream_id]
char = c_char(char.encode())
length = wintypes.DWORD(length)
num_written = wintypes.DWORD(0)
# Note that this is hard-coded for ANSI (vs wide) bytes.
success = _FillConsoleOutputCharacterA(
handle, char, length, start, byref(num_written))
return num_written.value
def FillConsoleOutputAttribute(stream_id, attr, length, start):
''' FillConsoleOutputAttribute( hConsole, csbi.wAttributes, dwConSize, coordScreen, &cCharsWritten )'''
handle = handles[stream_id]
attribute = wintypes.WORD(attr)
length = wintypes.DWORD(length)
num_written = wintypes.DWORD(0)
# Note that this is hard-coded for ANSI (vs wide) bytes.
return _FillConsoleOutputAttribute(
handle, attribute, length, start, byref(num_written))
def SetConsoleTitle(title):
return _SetConsoleTitleW(title)
|
mit
|
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ilya-epifanov/ansible
|
lib/ansible/plugins/callback/hipchat.py
|
101
|
5867
|
# (C) 2014, Matt Martz <matt@sivel.net>
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
import os
import urllib
import urllib2
try:
import prettytable
HAS_PRETTYTABLE = True
except ImportError:
HAS_PRETTYTABLE = False
from ansible.plugins.callback import CallbackBase
class CallbackModule(CallbackBase):
"""This is an example ansible callback plugin that sends status
updates to a HipChat channel during playbook execution.
This plugin makes use of the following environment variables:
HIPCHAT_TOKEN (required): HipChat API token
HIPCHAT_ROOM (optional): HipChat room to post in. Default: ansible
HIPCHAT_FROM (optional): Name to post as. Default: ansible
HIPCHAT_NOTIFY (optional): Add notify flag to important messages ("true" or "false"). Default: true
Requires:
prettytable
"""
CALLBACK_VERSION = 2.0
CALLBACK_VERSION = 2.0
CALLBACK_NAME = 'hipchat'
def __init__(self, display):
super(CallbackModule, self).__init__(display)
if not HAS_PRETTYTABLE:
self.disabled = True
self.display.warning('The `prettytable` python module is not installed. '
'Disabling the HipChat callback plugin.')
self.msg_uri = 'https://api.hipchat.com/v1/rooms/message'
self.token = os.getenv('HIPCHAT_TOKEN')
self.room = os.getenv('HIPCHAT_ROOM', 'ansible')
self.from_name = os.getenv('HIPCHAT_FROM', 'ansible')
self.allow_notify = (os.getenv('HIPCHAT_NOTIFY') != 'false')
if self.token is None:
self.disabled = True
self.display.warning('HipChat token could not be loaded. The HipChat '
'token can be provided using the `HIPCHAT_TOKEN` '
'environment variable.')
self.printed_playbook = False
self.playbook_name = None
def send_msg(self, msg, msg_format='text', color='yellow', notify=False):
"""Method for sending a message to HipChat"""
params = {}
params['room_id'] = self.room
params['from'] = self.from_name[:15] # max length is 15
params['message'] = msg
params['message_format'] = msg_format
params['color'] = color
params['notify'] = int(self.allow_notify and notify)
url = ('%s?auth_token=%s' % (self.msg_uri, self.token))
try:
response = urllib2.urlopen(url, urllib.urlencode(params))
return response.read()
except:
self.display.warning('Could not submit message to hipchat')
def playbook_on_play_start(self, name):
"""Display Playbook and play start messages"""
# This block sends information about a playbook when it starts
# The playbook object is not immediately available at
# playbook_on_start so we grab it via the play
#
# Displays info about playbook being started by a person on an
# inventory, as well as Tags, Skip Tags and Limits
if not self.printed_playbook:
self.playbook_name, _ = os.path.splitext(
os.path.basename(self.play.playbook.filename))
host_list = self.play.playbook.inventory.host_list
inventory = os.path.basename(os.path.realpath(host_list))
self.send_msg("%s: Playbook initiated by %s against %s" %
(self.playbook_name,
self.play.playbook.remote_user,
inventory), notify=True)
self.printed_playbook = True
subset = self.play.playbook.inventory._subset
skip_tags = self.play.playbook.skip_tags
self.send_msg("%s:\nTags: %s\nSkip Tags: %s\nLimit: %s" %
(self.playbook_name,
', '.join(self.play.playbook.only_tags),
', '.join(skip_tags) if skip_tags else None,
', '.join(subset) if subset else subset))
# This is where we actually say we are starting a play
self.send_msg("%s: Starting play: %s" %
(self.playbook_name, name))
def playbook_on_stats(self, stats):
"""Display info about playbook statistics"""
hosts = sorted(stats.processed.keys())
t = prettytable.PrettyTable(['Host', 'Ok', 'Changed', 'Unreachable',
'Failures'])
failures = False
unreachable = False
for h in hosts:
s = stats.summarize(h)
if s['failures'] > 0:
failures = True
if s['unreachable'] > 0:
unreachable = True
t.add_row([h] + [s[k] for k in ['ok', 'changed', 'unreachable',
'failures']])
self.send_msg("%s: Playbook complete" % self.playbook_name,
notify=True)
if failures or unreachable:
color = 'red'
self.send_msg("%s: Failures detected" % self.playbook_name,
color=color, notify=True)
else:
color = 'green'
self.send_msg("/code %s:\n%s" % (self.playbook_name, t), color=color)
|
gpl-3.0
|
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meabsence/python-for-android
|
python3-alpha/python3-src/Lib/distutils/tests/test_bdist_dumb.py
|
46
|
2555
|
"""Tests for distutils.command.bdist_dumb."""
import unittest
import sys
import os
from test.support import run_unittest
from distutils.core import Distribution
from distutils.command.bdist_dumb import bdist_dumb
from distutils.tests import support
SETUP_PY = """\
from distutils.core import setup
import foo
setup(name='foo', version='0.1', py_modules=['foo'],
url='xxx', author='xxx', author_email='xxx')
"""
try:
import zlib
ZLIB_SUPPORT = True
except ImportError:
ZLIB_SUPPORT = False
class BuildDumbTestCase(support.TempdirManager,
support.LoggingSilencer,
support.EnvironGuard,
unittest.TestCase):
def setUp(self):
super(BuildDumbTestCase, self).setUp()
self.old_location = os.getcwd()
self.old_sys_argv = sys.argv, sys.argv[:]
def tearDown(self):
os.chdir(self.old_location)
sys.argv = self.old_sys_argv[0]
sys.argv[:] = self.old_sys_argv[1]
super(BuildDumbTestCase, self).tearDown()
@unittest.skipUnless(ZLIB_SUPPORT, 'Need zlib support to run')
def test_simple_built(self):
# let's create a simple package
tmp_dir = self.mkdtemp()
pkg_dir = os.path.join(tmp_dir, 'foo')
os.mkdir(pkg_dir)
self.write_file((pkg_dir, 'setup.py'), SETUP_PY)
self.write_file((pkg_dir, 'foo.py'), '#')
self.write_file((pkg_dir, 'MANIFEST.in'), 'include foo.py')
self.write_file((pkg_dir, 'README'), '')
dist = Distribution({'name': 'foo', 'version': '0.1',
'py_modules': ['foo'],
'url': 'xxx', 'author': 'xxx',
'author_email': 'xxx'})
dist.script_name = 'setup.py'
os.chdir(pkg_dir)
sys.argv = ['setup.py']
cmd = bdist_dumb(dist)
# so the output is the same no matter
# what is the platform
cmd.format = 'zip'
cmd.ensure_finalized()
cmd.run()
# see what we have
dist_created = os.listdir(os.path.join(pkg_dir, 'dist'))
base = "%s.%s" % (dist.get_fullname(), cmd.plat_name)
if os.name == 'os2':
base = base.replace(':', '-')
wanted = ['%s.zip' % base]
self.assertEqual(dist_created, wanted)
# now let's check what we have in the zip file
# XXX to be done
def test_suite():
return unittest.makeSuite(BuildDumbTestCase)
if __name__ == '__main__':
run_unittest(test_suite())
|
apache-2.0
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[
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bettermirror/wget
|
testenv/Test-auth-digest.py
|
12
|
1568
|
#!/usr/bin/env python3
from sys import exit
from test.http_test import HTTPTest
from misc.wget_file import WgetFile
"""
This test ensures Wget's Digest Authorization Negotiation.
"""
############# File Definitions ###############################################
File1 = "Need a cookie?"
File2 = "Want cookies with milk!"
File1_rules = {
"Authentication" : {
"Type" : "Digest",
"User" : "Pacman",
"Pass" : "Omnomnom",
"Parm" : {
"qop" : "auth"
}
}
}
File2_rules = {
"Authentication" : {
"Type" : "Digest",
"User" : "Pacman",
"Pass" : "Omnomnom",
"Parm" : {
"qop" : None
}
}
}
A_File = WgetFile ("File1", File1, rules=File1_rules)
B_File = WgetFile ("File2", File2, rules=File2_rules)
WGET_OPTIONS = "--user=Pacman --password=Omnomnom"
WGET_URLS = [["File1", "File2"]]
Files = [[A_File, B_File]]
ExpectedReturnCode = 0
ExpectedDownloadedFiles = [A_File, B_File]
################ Pre and Post Test Hooks #####################################
pre_test = {
"ServerFiles" : Files
}
test_options = {
"WgetCommands" : WGET_OPTIONS,
"Urls" : WGET_URLS
}
post_test = {
"ExpectedFiles" : ExpectedDownloadedFiles,
"ExpectedRetcode" : ExpectedReturnCode
}
err = HTTPTest (
pre_hook=pre_test,
test_params=test_options,
post_hook=post_test
).begin ()
exit (err)
|
gpl-3.0
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ARM-software/mbed-beetle
|
tools/size.py
|
52
|
4111
|
"""
mbed SDK
Copyright (c) 2011-2013 ARM Limited
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 sys
from os.path import join, abspath, dirname, exists, splitext
from subprocess import Popen, PIPE
import csv
from collections import defaultdict
ROOT = abspath(join(dirname(__file__), ".."))
sys.path.insert(0, ROOT)
from tools.paths import BUILD_DIR, TOOLS_DATA
from tools.settings import GCC_ARM_PATH
from tools.tests import TEST_MAP
from tools.build_api import build_mbed_libs, build_project
SIZE = join(GCC_ARM_PATH, 'arm-none-eabi-size')
def get_size(path):
out = Popen([SIZE, path], stdout=PIPE).communicate()[0]
return map(int, out.splitlines()[1].split()[:4])
def get_percentage(before, after):
if before == 0:
return 0 if after == 0 else 100.0
return float(after - before) / float(before) * 100.0
def human_size(val):
if val>1024:
return "%.0fKb" % (float(val)/1024.0)
return "%d" % val
def print_diff(name, before, after):
print "%s: (%s -> %s) %.2f%%" % (name, human_size(before) , human_size(after) , get_percentage(before , after))
BENCHMARKS = [
("BENCHMARK_1", "CENV"),
("BENCHMARK_2", "PRINTF"),
("BENCHMARK_3", "FP"),
("BENCHMARK_4", "MBED"),
("BENCHMARK_5", "ALL"),
]
BENCHMARK_DATA_PATH = join(TOOLS_DATA, 'benchmarks.csv')
def benchmarks():
# CSV Data
csv_data = csv.writer(open(BENCHMARK_DATA_PATH, 'wb'))
csv_data.writerow(['Toolchain', "Target", "Benchmark", "code", "data", "bss", "flash"])
# Build
for toolchain in ['ARM', 'uARM', 'GCC_CR', 'GCC_ARM']:
for mcu in ["LPC1768", "LPC11U24"]:
# Build Libraries
build_mbed_libs(mcu, toolchain)
# Build benchmarks
build_dir = join(BUILD_DIR, "benchmarks", mcu, toolchain)
for test_id, title in BENCHMARKS:
# Build Benchmark
try:
test = TEST_MAP[test_id]
path = build_project(test.source_dir, join(build_dir, test_id),
mcu, toolchain, test.dependencies)
base, ext = splitext(path)
# Check Size
code, data, bss, flash = get_size(base+'.elf')
csv_data.writerow([toolchain, mcu, title, code, data, bss, flash])
except Exception, e:
print "Unable to build %s for toolchain %s targeting %s" % (test_id, toolchain, mcu)
print e
def compare(t1, t2, target):
if not exists(BENCHMARK_DATA_PATH):
benchmarks()
else:
print "Loading: %s" % BENCHMARK_DATA_PATH
data = csv.reader(open(BENCHMARK_DATA_PATH, 'rb'))
benchmarks_data = defaultdict(dict)
for (toolchain, mcu, name, code, data, bss, flash) in data:
if target == mcu:
for t in [t1, t2]:
if toolchain == t:
benchmarks_data[name][t] = map(int, (code, data, bss, flash))
print "%s vs %s for %s" % (t1, t2, target)
for name, data in benchmarks_data.iteritems():
try:
# Check Size
code_a, data_a, bss_a, flash_a = data[t1]
code_u, data_u, bss_u, flash_u = data[t2]
print "\n=== %s ===" % name
print_diff("code", code_a , code_u)
print_diff("data", data_a , data_u)
print_diff("bss", bss_a , bss_u)
print_diff("flash", flash_a , flash_u)
except Exception, e:
print "No data for benchmark %s" % (name)
print e
if __name__ == '__main__':
compare("GCC_CR", "LPC1768")
|
apache-2.0
|
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orione7/plugin.video.streamondemand-pureita
|
lib/elementtree/__init__.py
|
127
|
1491
|
# $Id: __init__.py 1821 2004-06-03 16:57:49Z fredrik $
# elementtree package
# --------------------------------------------------------------------
# The ElementTree toolkit is
#
# Copyright (c) 1999-2004 by Fredrik Lundh
#
# By obtaining, using, and/or copying this software and/or its
# associated documentation, you agree that you have read, understood,
# and will comply with the following terms and conditions:
#
# Permission to use, copy, modify, and distribute this software and
# its associated documentation for any purpose and without fee is
# hereby granted, provided that the above copyright notice appears in
# all copies, and that both that copyright notice and this permission
# notice appear in supporting documentation, and that the name of
# Secret Labs AB or the author not be used in advertising or publicity
# pertaining to distribution of the software without specific, written
# prior permission.
#
# SECRET LABS AB AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD
# TO THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANT-
# ABILITY AND FITNESS. IN NO EVENT SHALL SECRET LABS AB OR THE AUTHOR
# BE LIABLE FOR ANY SPECIAL, 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.
# --------------------------------------------------------------------
|
gpl-3.0
|
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rtucker-mozilla/mozilla_inventory
|
mozdns/txt/migrations/0001_initial.py
|
3
|
5233
|
# -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'TXT'
db.create_table('txt', (
('domain', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['domain.Domain'])),
('label', self.gf('django.db.models.fields.CharField')(max_length=63, null=True, blank=True)),
('fqdn', self.gf('django.db.models.fields.CharField')(db_index=True, max_length=255, null=True, blank=True)),
('ttl', self.gf('django.db.models.fields.PositiveIntegerField')(default=3600, null=True, blank=True)),
('description', self.gf('django.db.models.fields.CharField')(max_length=1000, null=True, blank=True)),
('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('txt_data', self.gf('django.db.models.fields.TextField')()),
))
db.send_create_signal('txt', ['TXT'])
# Adding M2M table for field views on 'TXT'
db.create_table('txt_views', (
('id', models.AutoField(verbose_name='ID', primary_key=True, auto_created=True)),
('txt', models.ForeignKey(orm['txt.txt'], null=False)),
('view', models.ForeignKey(orm['view.view'], null=False))
))
db.create_unique('txt_views', ['txt_id', 'view_id'])
def backwards(self, orm):
# Deleting model 'TXT'
db.delete_table('txt')
# Removing M2M table for field views on 'TXT'
db.delete_table('txt_views')
models = {
'domain.domain': {
'Meta': {'object_name': 'Domain', 'db_table': "'domain'"},
'delegated': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'dirty': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'is_reverse': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'master_domain': ('django.db.models.fields.related.ForeignKey', [], {'default': 'None', 'to': "orm['domain.Domain']", 'null': 'True', 'blank': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255'}),
'purgeable': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'soa': ('django.db.models.fields.related.ForeignKey', [], {'default': 'None', 'to': "orm['soa.SOA']", 'null': 'True', 'blank': 'True'})
},
'soa.soa': {
'Meta': {'unique_together': "(('primary', 'contact', 'description'),)", 'object_name': 'SOA', 'db_table': "'soa'"},
'contact': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'description': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}),
'dirty': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'expire': ('django.db.models.fields.PositiveIntegerField', [], {'default': '1209600'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'minimum': ('django.db.models.fields.PositiveIntegerField', [], {'default': '180'}),
'primary': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'refresh': ('django.db.models.fields.PositiveIntegerField', [], {'default': '180'}),
'retry': ('django.db.models.fields.PositiveIntegerField', [], {'default': '86400'}),
'serial': ('django.db.models.fields.PositiveIntegerField', [], {'default': '1360538205'}),
'ttl': ('django.db.models.fields.PositiveIntegerField', [], {'default': '3600', 'null': 'True', 'blank': 'True'})
},
'txt.txt': {
'Meta': {'object_name': 'TXT', 'db_table': "'txt'"},
'description': ('django.db.models.fields.CharField', [], {'max_length': '1000', 'null': 'True', 'blank': 'True'}),
'domain': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['domain.Domain']"}),
'fqdn': ('django.db.models.fields.CharField', [], {'db_index': 'True', 'max_length': '255', 'null': 'True', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'label': ('django.db.models.fields.CharField', [], {'max_length': '63', 'null': 'True', 'blank': 'True'}),
'ttl': ('django.db.models.fields.PositiveIntegerField', [], {'default': '3600', 'null': 'True', 'blank': 'True'}),
'txt_data': ('django.db.models.fields.TextField', [], {}),
'views': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['view.View']", 'symmetrical': 'False', 'blank': 'True'})
},
'view.view': {
'Meta': {'unique_together': "(('name',),)", 'object_name': 'View', 'db_table': "'view'"},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '255'})
}
}
complete_apps = ['txt']
|
bsd-3-clause
|
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] |
SEL-Columbia/commcare-hq
|
custom/openlmis/api.py
|
2
|
19029
|
from datetime import datetime
import json
import feedparser
import time
import requests
from corehq.apps.commtrack.const import REQUISITION_CASE_TYPE
from corehq.apps.commtrack.models import RequisitionCase
from custom.api.utils import EndpointMixin
from custom.openlmis.exceptions import OpenLMISAPIException
REQUISITION_APPROVED = "Requisition approved successfully"
class RssMetadata(object):
def __init__(self, id, updated, metadata):
self.id = id
self.updated = updated
self.metadata = metadata
@classmethod
def from_entry(cls, entry):
id = entry['id']
updated = datetime.fromtimestamp(time.mktime(entry['updated_parsed']))
[content] = entry['content']
metadata = json.loads(content['value'])
return cls(id, updated, metadata)
class RssWrapper(object):
def __init__(self, rss_meta):
self.rss_meta = rss_meta
@property
def metadata(self):
return self.rss_meta.metadata
class Facility(RssWrapper):
@property
def code(self):
return self.metadata['code']
@property
def name(self):
return self.metadata['name']
@property
def type(self):
return self.metadata['facilityType']
@property
def latitude(self):
return self.metadata.get('latitude', None)
@property
def longitude(self):
return self.metadata.get('longitude', None)
@property
def parent_id(self):
return self.metadata.get('parentFacility', None)
class FacilityProgramLink(RssWrapper):
pass
class Product(object):
def __init__(self, code, name, description, unit, category):
self.code = code
self.name = name
self.description = description
self.unit = unit
self.category = category
@classmethod
def from_json(cls, json_rep):
return cls(
code=json_rep['productCode'],
name=json_rep['productName'],
description=json_rep['description'],
unit=json_rep['unit'],
category=json_rep['category'],
)
class RequisitionStatus(RssWrapper):
@property
def requisition_id(self):
return self.metadata['requisitionId']
@property
def requisition_status(self):
return self.metadata['requisitionStatus']
@property
def order_id(self):
return self.metadata.get('orderId', None)
@property
def order_status(self):
return self.metadata.get('orderStatus', None)
@property
def emergency(self):
return self.metadata.get('emergency', None)
@property
def start_date(self):
return self.metadata.get('startDate', None)
@property
def end_date(self):
return self.metadata.get('endDate', None)
class Program(object):
def __init__(self, code, name, products=None):
self.code = code
self.name = name
self.products = products or []
@classmethod
def from_metadata(cls, metadata):
ret = cls(metadata['programCode'], metadata['programName'])
return ret
@classmethod
def from_json(cls, json_rep):
product_list = json_rep['programProductList']
if not product_list:
return None
name = product_list[0]['programName']
code = product_list[0]['programCode']
products = []
for p in product_list:
if p['programName'] != name or p['programCode'] != code:
raise OpenLMISAPIException('Product list was inconsistent')
products.append(Product.from_json(p))
return cls(code=code, name=name, products=products)
def get_facilities(uri_or_text):
parsed = feedparser.parse(uri_or_text)
for entry in parsed.entries:
yield Facility(RssMetadata.from_entry(entry))
def get_facility_programs(uri_or_text):
parsed = feedparser.parse(uri_or_text)
for entry in parsed.entries:
yield FacilityProgramLink(RssMetadata.from_entry(entry))
def get_programs_and_products(uri_or_text):
parsed = feedparser.parse(uri_or_text)
for entry in parsed.entries:
yield Program.from_metadata(RssMetadata.from_entry(entry).metadata)
def get_requisition_statuses(uri_or_text):
parsed = feedparser.parse(uri_or_text)
for entry in parsed.entries:
yield RequisitionStatus(RssMetadata.from_entry(entry))
class OpenLMISEndpoint(EndpointMixin):
"""
Endpoint for interfacing with the OpenLMIS APIs
"""
def __init__(self, base_uri, username, password):
self.base_uri = base_uri.rstrip('/')
self.username = username
self.password = password
# feeds
self._feed_uri = self._urlcombine(self.base_uri, '/feeds')
self.facility_master_feed_uri = self._urlcombine(self._feed_uri, '/facilities')
self.facility_program_feed_uri = self._urlcombine(self._feed_uri, '/programs-supported')
self.program_catalog_feed_uri = self._urlcombine(self._feed_uri, '/program-catalog-changes')
self.requisition_status_feed_uri = self._urlcombine(self._feed_uri, '/requisition-status')
# rest apis
self._rest_uri = self._urlcombine(self.base_uri, '/rest-api')
self.create_virtual_facility_url = self._urlcombine(self._rest_uri, '/agents.json')
self.update_virtual_facility_base_url = self._urlcombine(self._rest_uri, '/agents')
self.program_product_url = self._urlcombine(self._rest_uri, '/program-products.json')
self.requisition_details_url = self._urlcombine(self._rest_uri, '/requisitions')
self.confirm_delivery_base_url = self._urlcombine(self._rest_uri, '/orders')
def _page(self, base, page):
return '{base}/{page}'.format(base=base, page=page)
def _iter_feed(self, uri, item_wrapper):
results = True
page = 1
while results:
next = self._page(uri, page)
results = list(item_wrapper(next))
for r in results:
yield r
page += 1
def _response(self, response):
# todo: error handling and such
res = response.json()
if res.get('success', False) or res == ("%s" % REQUISITION_APPROVED):
return True
elif res.get('requisitionId', False):
return res
else:
raise OpenLMISAPIException(res['error'])
def get_all_facilities(self):
return (fac for fac in self._iter_feed(self.facility_master_feed_uri, get_facilities))
def get_all_requisition_statuses(self):
return (fac for fac in self._iter_feed(self.requisition_status_feed_uri, get_requisition_statuses))
def get_all_programs(self, include_products=True):
programs = (p for p in self._iter_feed(self.program_catalog_feed_uri, get_programs_and_products))
if include_products:
return (self.get_program_products(p.code) for p in programs)
else:
return programs
def get_program_products(self, program_code):
response = requests.get(self.program_product_url, params={'programCode': program_code},
auth=self._auth())
return Program.from_json(response.json())
def get_requisition_details(self, id):
response = requests.get(self.update_requisition_details_url(id), auth=self._auth())
if response.json().get('requisition'):
return RequisitionDetails.from_json(response.json())
else:
return None
def create_virtual_facility(self, facility_data):
response = requests.post(self.create_virtual_facility_url,
data=json.dumps(facility_data),
headers={'content-type': 'application/json'},
auth=self._auth())
return self._response(response)
def update_virtual_facility_url(self, id):
return self._urlcombine(self.update_virtual_facility_base_url, '/{id}.json'.format(id=id))
def update_requisition_details_url(self, id):
return self._urlcombine(self.requisition_details_url, '/{id}.json'.format(id=id))
def update_virtual_facility(self, id, facility_data):
facility_data['agentCode'] = id
response = requests.put(self.update_virtual_facility_url(id),
data=json.dumps(facility_data),
headers={'content-type': 'application/json'},
auth=self._auth())
return self._response(response)
def submit_requisition(self, requisition_data):
response = requests.post(self.requisition_details_url,
data=json.dumps(requisition_data),
headers={'content-type': 'application/json'},
auth=self._auth())
return self._response(response)
def update_confirm_delivery_url(self, order_id):
return self._urlcombine(self.confirm_delivery_base_url, '/{orderId}/pod.json'.format(orderId=order_id))
def confirm_delivery(self, order_id, delivery_data):
response = requests.post(self.update_confirm_delivery_url(order_id),
data=json.dumps(delivery_data),
headers={'content-type': 'application/json'},
auth=self._auth())
return self._response(response)
def approve_requisition_url(self, requisition_id):
return self._urlcombine(self.requisition_details_url, '/{requisitionId}/approve'.format(requisitionId=requisition_id))
def approve_requisition(self, approve_requisition, requisition_id):
response = requests.put(self.approve_requisition_url(requisition_id),
data=json.dumps(approve_requisition),
headers={'content-type': 'application/json'},
auth=self._auth())
return self._response(response)
class Requisition(object):
def __init__(self, agent_code, program_id, products, period_id=None):
self.agent_code = agent_code
self.program_id = program_id
self.period_id = period_id
self.products = products
@classmethod
def from_json(cls, json_rep):
product_list = json_rep['products']
if not product_list:
return None
agent_code = json_rep['agentCode']
program_id = json_rep['programId']
period_id = json_rep['periodId']
products = []
for p in product_list:
products.append(RequisitionProduct.from_json(p))
return cls(agent_code=agent_code, program_id=program_id, products=products, period_id=period_id)
class RequisitionProduct(Product):
def __init__(self, code, name=None, description=None, unit=None, category=None, beginning_balance=None,
quantity_received=None, quantity_dispensed=None, losses_and_adjustments=None, new_patient_count=None,
stock_in_hand=None, stock_out_days=None, quantity_requested=None, reason_for_requested_quantity=None, remarks=None):
self.beginning_balance = beginning_balance
self.quantity_received = quantity_received
self.quantity_dispensed = quantity_dispensed
self.losses_and_adjustments = losses_and_adjustments
self.new_patient_count = new_patient_count
self.stock_in_hand = stock_in_hand
self.stock_out_days = stock_out_days
self.quantity_requested = quantity_requested
self.reason_for_requested_quantity = reason_for_requested_quantity
self.remarks = remarks
super(RequisitionProduct, self).__init__(code, name, description, unit, category)
@classmethod
def from_json(cls, json_rep):
code = json_rep['productCode']
beginning_balance = json_rep.get('beginningBalance', None)
quantity_received = json_rep.get('quantityReceived', None)
quantity_dispensed = json_rep.get('quantityDispensed', None)
losses_and_adjustments = json_rep.get('lossesAndAdjustments', None)
new_patient_count = json_rep.get('newPatientCount', None)
stock_in_hand = json_rep.get('stockInHand', None)
stock_out_days = json_rep.get('stockOutDays', None)
quantity_requested = json_rep.get('quantityRequested', None)
reason_for_requested_quantity = json_rep.get('reasonForRequestedQuantity', None)
remarks = json_rep.get('remarks', None)
return cls(code=code, beginning_balance=beginning_balance, quantity_received=quantity_received, quantity_dispensed=quantity_dispensed,
losses_and_adjustments=losses_and_adjustments, new_patient_count=new_patient_count, stock_in_hand=stock_in_hand, stock_out_days=stock_out_days,
quantity_requested=quantity_requested, reason_for_requested_quantity=reason_for_requested_quantity, remarks=remarks)
class RequisitionDetails(Requisition):
def __init__(self, id, agent_code, program_code, emergency, period_start_date, period_end_date, requisition_status,
products, supplying_facility_code=None, order_id=None, order_status=None):
super(RequisitionDetails, self).__init__(agent_code=agent_code, program_id=program_code, products=products)
self.id = id
self.emergency = emergency
self.period_start_date = period_start_date
self.period_end_date = period_end_date
self.requisition_status = requisition_status
self.order_id = order_id
self.order_status = order_status
self.supplying_facility_code = supplying_facility_code
@classmethod
def from_json(cls, json_rep):
json_rep = json_rep["requisition"]
product_list = json_rep['products']
if not product_list:
return None
id = json_rep['id']
agent_code = json_rep['agentCode']
program_code = json_rep['programCode']
emergency = json_rep['emergency']
period_start_date = json_rep['stringPeriodStartDate']
period_end_date = json_rep['stringPeriodEndDate']
requisition_status = json_rep['requisitionStatus']
order_id = json_rep.get('orderId', None)
order_status = json_rep.get('orderStatus', None)
supplying_facility_code = json_rep.get('supplyingFacilityCode', None)
products = []
for p in product_list:
products.append(RequisitionProductDetails.from_json(p))
return cls(id, agent_code, program_code, emergency, period_start_date, period_end_date, requisition_status,
products, supplying_facility_code, order_id, order_status)
def to_requisition_case(self, product_id, case_id=None, case_rev=None):
req_case = RequisitionCase()
req_case.type = REQUISITION_CASE_TYPE
req_case.user_id = self.agent_code
req_case.set_case_property("program_id", self.program_id)
req_case.set_case_property("period_id", self.period_id)
req_case.product_id = product_id
req_case.external_id = self.id
req_case.requisition_status = self.requisition_status
req_case.set_case_property("order_id", self.order_id)
req_case.set_case_property("order_status", self.order_status)
req_case.set_case_property("emergency", self.emergency)
req_case.set_case_property("start_date", self.period_start_date)
req_case.set_case_property("end_date", self.period_end_date)
if case_id:
req_case._id = case_id
if case_rev:
req_case._rev = case_rev
return req_case
def to_dict(self, product_id):
dictionary = {
'product_id': product_id,
'program_id': self.program_id,
'order_id': self.order_id,
'agent_code': self.agent_code,
'order_status': self.order_status,
'emergency': self.emergency,
'start_date': self.period_start_date,
'end_date': self.period_end_date,
'supplyingFacilityCode': self.supplying_facility_code
}
return dictionary
class RequisitionProductDetails(RequisitionProduct):
def __init__(self, code, beginning_balance,
quantity_received, quantity_dispensed=None, losses_and_adjustments=None, new_patient_count=None,
stock_in_hand=None, stock_out_days=None, quantity_requested=None, reason_for_requested_quantity=None, remarks=None,
skipped=None, total_losses_and_adjustments=None, calculated_order_quantity=None, quantity_approved=None):
self.total_losses_and_adjustments = total_losses_and_adjustments
self.calculated_order_quantity = calculated_order_quantity
self.quantity_approved = quantity_approved
self.skipped = skipped
super(RequisitionProductDetails, self).__init__(code=code, beginning_balance=beginning_balance, quantity_received=quantity_received, quantity_dispensed=quantity_dispensed,
losses_and_adjustments=losses_and_adjustments, new_patient_count=new_patient_count, stock_in_hand=stock_in_hand, stock_out_days=stock_out_days,
quantity_requested=quantity_requested, reason_for_requested_quantity=reason_for_requested_quantity, remarks=remarks)
@classmethod
def from_json(cls, json_rep):
code = json_rep['productCode']
beginning_balance = json_rep.get('beginningBalance', None)
quantity_received = json_rep.get('quantityReceived', None)
quantity_dispensed = json_rep.get('quantityDispensed', None)
losses_and_adjustments = json_rep.get('lossesAndAdjustments', None)
new_patient_count = json_rep.get('newPatientCount', None)
stock_in_hand = json_rep.get('stockInHand', None)
stock_out_days = json_rep.get('stockOutDays', None)
quantity_requested = json_rep.get('quantityRequested', None)
reason_for_requested_quantity =json_rep.get('reasonForRequestedQuantity', None)
remarks = json_rep.get('remarks', None)
skipped = json_rep.get('skipped', None)
total_losses_and_adjustments = json_rep.get('totalLossesAndAdjustments', None)
calculated_order_quantity = json_rep.get('calculatedOrderQuantity', None)
quantity_approved = json_rep.get('quantityApproved', None)
return cls(code=code, beginning_balance=beginning_balance,
quantity_received=quantity_received, quantity_dispensed=quantity_dispensed, losses_and_adjustments=losses_and_adjustments, new_patient_count=new_patient_count,
stock_in_hand=stock_in_hand, stock_out_days=stock_out_days, quantity_requested=quantity_requested, reason_for_requested_quantity=reason_for_requested_quantity, remarks=remarks,
skipped=skipped, total_losses_and_adjustments=total_losses_and_adjustments, calculated_order_quantity=calculated_order_quantity, quantity_approved=quantity_approved)
|
bsd-3-clause
|
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dyoung418/tensorflow
|
tensorflow/contrib/session_bundle/exporter.py
|
35
|
12771
|
# 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.
# ==============================================================================
"""Export a TensorFlow model.
See: go/tf-exporter
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import re
import six
from google.protobuf.any_pb2 import Any
from tensorflow.contrib.session_bundle import constants
from tensorflow.contrib.session_bundle import gc
from tensorflow.contrib.session_bundle import manifest_pb2
from tensorflow.core.framework import graph_pb2
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.platform import gfile
from tensorflow.python.platform import tf_logging as logging
from tensorflow.python.training import saver as tf_saver
from tensorflow.python.training import training_util
from tensorflow.python.util import compat
from tensorflow.python.util.deprecation import deprecated
@deprecated("2017-06-30",
"No longer supported. Switch to SavedModel immediately.")
def gfile_copy_callback(files_to_copy, export_dir_path):
"""Callback to copy files using `gfile.Copy` to an export directory.
This method is used as the default `assets_callback` in `Exporter.init` to
copy assets from the `assets_collection`. It can also be invoked directly to
copy additional supplementary files into the export directory (in which case
it is not a callback).
Args:
files_to_copy: A dictionary that maps original file paths to desired
basename in the export directory.
export_dir_path: Directory to copy the files to.
"""
logging.info("Write assets into: %s using gfile_copy.", export_dir_path)
gfile.MakeDirs(export_dir_path)
for source_filepath, basename in files_to_copy.items():
new_path = os.path.join(
compat.as_bytes(export_dir_path), compat.as_bytes(basename))
logging.info("Copying asset %s to path %s.", source_filepath, new_path)
if gfile.Exists(new_path):
# Guard against being restarted while copying assets, and the file
# existing and being in an unknown state.
# TODO(b/28676216): Do some file checks before deleting.
logging.info("Removing file %s.", new_path)
gfile.Remove(new_path)
gfile.Copy(source_filepath, new_path)
@deprecated("2017-06-30",
"No longer supported. Switch to SavedModel immediately.")
def regression_signature(input_tensor, output_tensor):
"""Creates a regression signature.
Args:
input_tensor: Tensor specifying the input to a graph.
output_tensor: Tensor specifying the output of a graph.
Returns:
A Signature message.
"""
signature = manifest_pb2.Signature()
signature.regression_signature.input.tensor_name = input_tensor.name
signature.regression_signature.output.tensor_name = output_tensor.name
return signature
@deprecated("2017-06-30",
"No longer supported. Switch to SavedModel immediately.")
def classification_signature(input_tensor,
classes_tensor=None,
scores_tensor=None):
"""Creates a classification signature.
Args:
input_tensor: Tensor specifying the input to a graph.
classes_tensor: Tensor specifying the output classes of a graph.
scores_tensor: Tensor specifying the scores of the output classes.
Returns:
A Signature message.
"""
signature = manifest_pb2.Signature()
signature.classification_signature.input.tensor_name = input_tensor.name
if classes_tensor is not None:
signature.classification_signature.classes.tensor_name = classes_tensor.name
if scores_tensor is not None:
signature.classification_signature.scores.tensor_name = scores_tensor.name
return signature
@deprecated("2017-06-30",
"No longer supported. Switch to SavedModel immediately.")
def generic_signature(name_tensor_map):
"""Creates a generic signature of name to Tensor name.
Args:
name_tensor_map: Map from logical name to Tensor.
Returns:
A Signature message.
"""
signature = manifest_pb2.Signature()
for name, tensor in six.iteritems(name_tensor_map):
signature.generic_signature.map[name].tensor_name = tensor.name
return signature
class Exporter(object):
"""Exporter helps package a TensorFlow model for serving.
Args:
saver: Saver object.
"""
def __init__(self, saver):
# Makes a copy of the saver-def and disables garbage-collection, since the
# exporter enforces garbage-collection independently. Specifically, since
# the exporter performs atomic copies of the saver output, it is required
# that garbage-collection via the underlying saver be disabled.
saver_def = saver.as_saver_def()
saver_def.ClearField("max_to_keep")
self._saver = tf_saver.Saver(saver_def=saver_def)
self._has_init = False
self._assets_to_copy = {}
@deprecated("2017-06-30",
"No longer supported. Switch to SavedModel immediately.")
def init(self,
graph_def=None,
init_op=None,
clear_devices=False,
default_graph_signature=None,
named_graph_signatures=None,
assets_collection=None,
assets_callback=gfile_copy_callback):
"""Initialization.
Args:
graph_def: A GraphDef message of the graph to be used in inference.
GraphDef of default graph is used when None.
init_op: Op to be used in initialization.
clear_devices: If device info of the graph should be cleared upon export.
default_graph_signature: Default signature of the graph.
named_graph_signatures: Map of named input/output signatures of the graph.
assets_collection: A collection of constant asset filepath tensors. If set
the assets will be exported into the asset directory.
assets_callback: callback with two argument called during export with the
list of files to copy and the asset path.
Raises:
RuntimeError: if init is called more than once.
TypeError: if init_op is not an Operation or None.
ValueError: if asset file path tensors are not non-empty constant string
scalar tensors.
"""
# Avoid Dangerous default value []
if named_graph_signatures is None:
named_graph_signatures = {}
assets = []
if assets_collection:
for asset_tensor in assets_collection:
asset_filepath = self._file_path_value(asset_tensor)
if not asset_filepath:
raise ValueError("invalid asset filepath tensor %s" % asset_tensor)
basename = os.path.basename(asset_filepath)
assets.append((basename, asset_tensor))
self._assets_to_copy[asset_filepath] = basename
if self._has_init:
raise RuntimeError("init should be called only once")
self._has_init = True
if graph_def or clear_devices:
copy = graph_pb2.GraphDef()
if graph_def:
copy.CopyFrom(graph_def)
else:
copy.CopyFrom(ops.get_default_graph().as_graph_def())
if clear_devices:
for node in copy.node:
node.device = ""
graph_any_buf = Any()
graph_any_buf.Pack(copy)
ops.add_to_collection(constants.GRAPH_KEY, graph_any_buf)
if init_op:
if not isinstance(init_op, ops.Operation):
raise TypeError("init_op needs to be an Operation: %s" % init_op)
ops.add_to_collection(constants.INIT_OP_KEY, init_op)
signatures_proto = manifest_pb2.Signatures()
if default_graph_signature:
signatures_proto.default_signature.CopyFrom(default_graph_signature)
for signature_name, signature in six.iteritems(named_graph_signatures):
signatures_proto.named_signatures[signature_name].CopyFrom(signature)
signatures_any_buf = Any()
signatures_any_buf.Pack(signatures_proto)
ops.add_to_collection(constants.SIGNATURES_KEY, signatures_any_buf)
for filename, tensor in assets:
asset = manifest_pb2.AssetFile()
asset.filename = filename
asset.tensor_binding.tensor_name = tensor.name
asset_any_buf = Any()
asset_any_buf.Pack(asset)
ops.add_to_collection(constants.ASSETS_KEY, asset_any_buf)
self._assets_callback = assets_callback
@deprecated("2017-06-30",
"No longer supported. Switch to SavedModel immediately.")
def export(self,
export_dir_base,
global_step_tensor,
sess=None,
exports_to_keep=None):
"""Exports the model.
Args:
export_dir_base: A string path to the base export dir.
global_step_tensor: An Tensor or tensor name providing the
global step counter to append to the export directory path and set
in the manifest version.
sess: A Session to use to save the parameters.
exports_to_keep: a gc.Path filter function used to determine the set of
exports to keep. If set to None, all versions will be kept.
Returns:
The string path to the exported directory.
Raises:
RuntimeError: if init is not called.
RuntimeError: if the export would overwrite an existing directory.
"""
if not self._has_init:
raise RuntimeError("init must be called first")
# Export dir must not end with / or it will break exports to keep. Strip /.
if export_dir_base.endswith("/"):
export_dir_base = export_dir_base[:-1]
global_step = training_util.global_step(sess, global_step_tensor)
export_dir = os.path.join(
compat.as_bytes(export_dir_base),
compat.as_bytes(constants.VERSION_FORMAT_SPECIFIER % global_step))
# Prevent overwriting on existing exports which could lead to bad/corrupt
# storage and loading of models. This is an important check that must be
# done before any output files or directories are created.
if gfile.Exists(export_dir):
raise RuntimeError("Overwriting exports can cause corruption and are "
"not allowed. Duplicate export dir: %s" % export_dir)
# Output to a temporary directory which is atomically renamed to the final
# directory when complete.
tmp_export_dir = compat.as_text(export_dir) + "-tmp"
gfile.MakeDirs(tmp_export_dir)
self._saver.save(sess,
os.path.join(
compat.as_text(tmp_export_dir),
compat.as_text(constants.EXPORT_BASE_NAME)),
meta_graph_suffix=constants.EXPORT_SUFFIX_NAME)
# Run the asset callback.
if self._assets_callback and self._assets_to_copy:
assets_dir = os.path.join(
compat.as_bytes(tmp_export_dir),
compat.as_bytes(constants.ASSETS_DIRECTORY))
gfile.MakeDirs(assets_dir)
self._assets_callback(self._assets_to_copy, assets_dir)
# TODO(b/27794910): Delete *checkpoint* file before rename.
gfile.Rename(tmp_export_dir, export_dir)
if exports_to_keep:
# create a simple parser that pulls the export_version from the directory.
def parser(path):
if os.name == 'nt':
match = re.match("^" + export_dir_base.replace('\\','/') + "/(\\d{8})$",
path.path.replace('\\','/'))
else:
match = re.match("^" + export_dir_base + "/(\\d{8})$",
path.path)
if not match:
return None
return path._replace(export_version=int(match.group(1)))
paths_to_delete = gc.negation(exports_to_keep)
for p in paths_to_delete(gc.get_paths(export_dir_base, parser=parser)):
gfile.DeleteRecursively(p.path)
return export_dir
def _file_path_value(self, path_tensor):
"""Returns the filepath value stored in constant `path_tensor`."""
if not isinstance(path_tensor, ops.Tensor):
raise TypeError("tensor is not a Tensor")
if path_tensor.op.type != "Const":
raise TypeError("Only constants tensor are supported")
if path_tensor.dtype != dtypes.string:
raise TypeError("File paths should be string")
str_value = path_tensor.op.get_attr("value").string_val
if len(str_value) != 1:
raise TypeError("Only scalar tensors are supported")
return str_value[0]
|
apache-2.0
|
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] |
leesavide/pythonista-docs
|
Documentation/matplotlib/examples/old_animation/histogram_tkagg.py
|
3
|
1847
|
"""
This example shows how to use a path patch to draw a bunch of
rectangles for an animated histogram
"""
import numpy as np
import matplotlib
matplotlib.use('TkAgg') # do this before importing pylab
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.path as path
fig, ax = plt.subplots()
# histogram our data with numpy
data = np.random.randn(1000)
n, bins = np.histogram(data, 100)
# get the corners of the rectangles for the histogram
left = np.array(bins[:-1])
right = np.array(bins[1:])
bottom = np.zeros(len(left))
top = bottom + n
nrects = len(left)
# here comes the tricky part -- we have to set up the vertex and path
# codes arrays using moveto, lineto and closepoly
# for each rect: 1 for the MOVETO, 3 for the LINETO, 1 for the
# CLOSEPOLY; the vert for the closepoly is ignored but we still need
# it to keep the codes aligned with the vertices
nverts = nrects*(1+3+1)
verts = np.zeros((nverts, 2))
codes = np.ones(nverts, int) * path.Path.LINETO
codes[0::5] = path.Path.MOVETO
codes[4::5] = path.Path.CLOSEPOLY
verts[0::5,0] = left
verts[0::5,1] = bottom
verts[1::5,0] = left
verts[1::5,1] = top
verts[2::5,0] = right
verts[2::5,1] = top
verts[3::5,0] = right
verts[3::5,1] = bottom
barpath = path.Path(verts, codes)
patch = patches.PathPatch(barpath, facecolor='green', edgecolor='yellow', alpha=0.5)
ax.add_patch(patch)
ax.set_xlim(left[0], right[-1])
ax.set_ylim(bottom.min(), top.max())
def animate():
if animate.cnt>=100:
return
animate.cnt += 1
# simulate new data coming in
data = np.random.randn(1000)
n, bins = np.histogram(data, 100)
top = bottom + n
verts[1::5,1] = top
verts[2::5,1] = top
fig.canvas.draw()
fig.canvas.manager.window.after(100, animate)
animate.cnt = 0
fig.canvas.manager.window.after(100, animate)
plt.show()
|
apache-2.0
|
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RodrigoDev/Django-todo
|
todo/settings.py
|
1
|
2707
|
"""
Django settings for todo project.
For more information on this file, see
https://docs.djangoproject.com/en/1.7/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.7/ref/settings/
"""
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
import os
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.7/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'u%h0i!)2=b8h5!c_vh#n0(wpgl^i^8(*yzp^&jssckq7vj%)to'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
TEMPLATE_DEBUG = True
ALLOWED_HOSTS = ['localhost']
# Application definition
INSTALLED_APPS = (
'django_admin_bootstrapped.bootstrap3',
'django_admin_bootstrapped',
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'core',
'accounts',
'bootstrap3',
'inplaceeditform',
'debug_toolbar',
)
MIDDLEWARE_CLASSES = (
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.auth.middleware.SessionAuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
)
ROOT_URLCONF = 'todo.urls'
WSGI_APPLICATION = 'todo.wsgi.application'
SSO_URL = 'http://localhost:8021'
SSO_APP_KEY = '54b80e13a72bd33d834d3d04'
SSO_APP_SECRET = 'AI16496WSHCOyibdext3eeDA4RnMUzS52wm52RfdXnUU6OKD/yyeq'
# Database
# https://docs.djangoproject.com/en/1.7/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.to-do'),
}
}
TEMPLATE_CONTEXT_PROCESSORS = (
'django.contrib.auth.context_processors.auth',
'django.core.context_processors.request',
)
CACHES = {
'default': {
'BACKEND': 'django.core.cache.backends.memcached.MemcachedCache',
'LOCATION': '127.0.0.1:11211',
}
}
# Internationalization
# https://docs.djangoproject.com/en/1.7/topics/i18n/
LANGUAGE_CODE = 'pt-BR'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.7/howto/static-files/
STATIC_URL = '/static/'
AUTHENTICATION_BACKENDS = ('accounts.auth.SSOModelBackend',)
|
mit
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dkarakats/edx-platform
|
lms/envs/sauce.py
|
116
|
2389
|
"""
This config file extends the test environment configuration
so that we can run the lettuce acceptance tests on SauceLabs.
"""
# We intentionally define lots of variables that aren't used, and
# want to import all variables from base settings files
# pylint: disable=wildcard-import, unused-wildcard-import
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
import os
PORTS = [
2000, 2001, 2020, 2109, 2222, 2310, 3000, 3001,
3030, 3210, 3333, 4000, 4001, 4040, 4321, 4502, 4503,
5050, 5555, 5432, 6060, 6666, 6543, 7000, 7070, 7774,
7777, 8003, 8031, 8080, 8081, 8765, 8888,
9080, 9090, 9876, 9999, 49221, 55001
]
DESIRED_CAPABILITIES = {
'chrome': DesiredCapabilities.CHROME,
'internetexplorer': DesiredCapabilities.INTERNETEXPLORER,
'firefox': DesiredCapabilities.FIREFOX,
'opera': DesiredCapabilities.OPERA,
'iphone': DesiredCapabilities.IPHONE,
'ipad': DesiredCapabilities.IPAD,
'safari': DesiredCapabilities.SAFARI,
'android': DesiredCapabilities.ANDROID
}
# All keys must be URL and JSON encodable
# PLATFORM-BROWSER-VERSION_NUM-DEVICE
ALL_CONFIG = {
'Linux-chrome--': ['Linux', 'chrome', '', ''],
'Windows 8-chrome--': ['Windows 8', 'chrome', '', ''],
'Windows 7-chrome--': ['Windows 7', 'chrome', '', ''],
'Windows XP-chrome--': ['Windows XP', 'chrome', '', ''],
'OS X 10.8-chrome--': ['OS X 10.8', 'chrome', '', ''],
'OS X 10.6-chrome--': ['OS X 10.6', 'chrome', '', ''],
'Linux-firefox-23-': ['Linux', 'firefox', '23', ''],
'Windows 8-firefox-23-': ['Windows 8', 'firefox', '23', ''],
'Windows 7-firefox-23-': ['Windows 7', 'firefox', '23', ''],
'Windows XP-firefox-23-': ['Windows XP', 'firefox', '23', ''],
'OS X 10.8-safari-6-': ['OS X 10.8', 'safari', '6', ''],
'Windows 8-internetexplorer-10-': ['Windows 8', 'internetexplorer', '10', ''],
}
SAUCE_INFO = ALL_CONFIG.get(os.environ.get('SAUCE_INFO', 'Linux-chrome--'))
# Information needed to utilize Sauce Labs.
SAUCE = {
'USERNAME': os.environ.get('SAUCE_USER_NAME'),
'ACCESS_ID': os.environ.get('SAUCE_API_KEY'),
'PLATFORM': SAUCE_INFO[0],
'BROWSER': DESIRED_CAPABILITIES.get(SAUCE_INFO[1]),
'VERSION': SAUCE_INFO[2],
'DEVICE': SAUCE_INFO[3],
'SESSION': 'Jenkins Acceptance Tests',
'BUILD': os.environ.get('BUILD_DISPLAY_NAME', 'LETTUCE TESTS'),
}
|
agpl-3.0
|
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ntiufalara/openerp7
|
openerp/addons/l10n_pt/__openerp__.py
|
51
|
1844
|
# -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2012 Thinkopen Solutions, Lda. All Rights Reserved
# http://www.thinkopensolutions.com.
# $Id$
#
# 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': 'Portugal - Chart of Accounts',
'version': '0.011',
'author': 'ThinkOpen Solutions',
'website': 'http://www.thinkopensolutions.com/',
'category': 'Localization/Account Charts',
'description': 'Plano de contas SNC para Portugal',
'depends': ['base',
'base_vat',
'account',
'account_chart',
],
'init_xml': [],
'update_xml': ['account_types.xml',
'account_chart.xml',
'account_tax_code_template.xml',
'account_chart_template.xml',
'fiscal_position_templates.xml',
'account_taxes.xml',
'l10n_chart_pt_wizard.xml',
],
'demo_xml': [],
'installable': True,
}
|
mit
|
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Hazelsuko07/17WarmingUp
|
py3.6/lib/python3.6/site-packages/flask_wtf/recaptcha/widgets.py
|
91
|
1267
|
# -*- coding: utf-8 -*-
from flask import current_app, Markup
from flask import json
from werkzeug import url_encode
JSONEncoder = json.JSONEncoder
RECAPTCHA_SCRIPT = u'https://www.google.com/recaptcha/api.js'
RECAPTCHA_TEMPLATE = u'''
<script src='%s' async defer></script>
<div class="g-recaptcha" %s></div>
'''
__all__ = ["RecaptchaWidget"]
class RecaptchaWidget(object):
def recaptcha_html(self, public_key):
html = current_app.config.get('RECAPTCHA_HTML')
if html:
return Markup(html)
params = current_app.config.get('RECAPTCHA_PARAMETERS')
script = RECAPTCHA_SCRIPT
if params:
script += u'?' + url_encode(params)
attrs = current_app.config.get('RECAPTCHA_DATA_ATTRS', {})
attrs['sitekey'] = public_key
snippet = u' '.join([u'data-%s="%s"' % (k, attrs[k]) for k in attrs])
return Markup(RECAPTCHA_TEMPLATE % (script, snippet))
def __call__(self, field, error=None, **kwargs):
"""Returns the recaptcha input HTML."""
try:
public_key = current_app.config['RECAPTCHA_PUBLIC_KEY']
except KeyError:
raise RuntimeError("RECAPTCHA_PUBLIC_KEY config not set")
return self.recaptcha_html(public_key)
|
mit
|
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perryjrandall/arsenalsuite
|
cpp/lib/PyQt4/examples/widgets/screenshot.py
|
22
|
5860
|
#!/usr/bin/env python
#############################################################################
##
## Copyright (C) 2005-2005 Trolltech AS. All rights reserved.
##
## This file is part of the example classes of the Qt Toolkit.
##
## This file may be used under the terms of the GNU General Public
## License version 2.0 as published by the Free Software Foundation
## and appearing in the file LICENSE.GPL included in the packaging of
## this file. Please review the following information to ensure GNU
## General Public Licensing requirements will be met:
## http://www.trolltech.com/products/qt/opensource.html
##
## If you are unsure which license is appropriate for your use, please
## review the following information:
## http://www.trolltech.com/products/qt/licensing.html or contact the
## sales department at sales@trolltech.com.
##
## This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
## WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
##
#############################################################################
import sys
from PyQt4 import QtCore, QtGui
class Screenshot(QtGui.QWidget):
def __init__(self, parent = None):
QtGui.QWidget.__init__(self, parent)
self.screenshotLabel = QtGui.QLabel()
self.screenshotLabel.setSizePolicy(QtGui.QSizePolicy.Expanding,
QtGui.QSizePolicy.Expanding)
self.screenshotLabel.setAlignment(QtCore.Qt.AlignCenter)
self.screenshotLabel.setMinimumSize(240, 160)
self.createOptionsGroupBox()
self.createButtonsLayout()
self.mainLayout = QtGui.QVBoxLayout()
self.mainLayout.addWidget(self.screenshotLabel)
self.mainLayout.addWidget(self.optionsGroupBox)
self.mainLayout.addLayout(self.buttonsLayout)
self.setLayout(self.mainLayout)
self.shootScreen()
self.delaySpinBox.setValue(5)
self.setWindowTitle(self.tr("Screenshot"))
self.resize(300, 200)
def resizeEvent(self, event):
scaledSize = self.originalPixmap.size()
scaledSize.scale(self.screenshotLabel.size(), QtCore.Qt.KeepAspectRatio)
if not self.screenshotLabel.pixmap() or scaledSize != self.screenshotLabel.pixmap().size():
self.updateScreenshotLabel()
def newScreenshot(self):
if self.hideThisWindowCheckBox.isChecked():
self.hide()
self.newScreenshotButton.setDisabled(True)
QtCore.QTimer.singleShot(self.delaySpinBox.value() * 1000, self.shootScreen)
def saveScreenshot(self):
format = QtCore.QString("png")
initialPath = QtCore.QDir.currentPath() + self.tr("/untitled.") + format
fileName = QtGui.QFileDialog.getSaveFileName(self, self.tr("Save As"),
initialPath,
self.tr("%1 Files (*.%2);;All Files (*)")
.arg(format.toUpper())
.arg(format))
if not fileName.isEmpty():
self.originalPixmap.save(fileName, str(format))
def shootScreen(self):
if self.delaySpinBox.value() != 0:
QtGui.qApp.beep()
self.originalPixmap = QtGui.QPixmap.grabWindow(QtGui.QApplication.desktop().winId())
self.updateScreenshotLabel()
self.newScreenshotButton.setDisabled(False)
if self.hideThisWindowCheckBox.isChecked():
self.show()
def updateCheckBox(self):
if self.delaySpinBox.value() == 0:
self.hideThisWindowCheckBox.setDisabled(True)
else:
self.hideThisWindowCheckBox.setDisabled(False)
def createOptionsGroupBox(self):
self.optionsGroupBox = QtGui.QGroupBox(self.tr("Options"))
self.delaySpinBox = QtGui.QSpinBox()
self.delaySpinBox.setSuffix(self.tr(" s"))
self.delaySpinBox.setMaximum(60)
self.connect(self.delaySpinBox, QtCore.SIGNAL("valueChanged(int)"),
self.updateCheckBox)
self.delaySpinBoxLabel = QtGui.QLabel(self.tr("Screenshot Delay:"))
self.hideThisWindowCheckBox = QtGui.QCheckBox(self.tr("Hide This Window"))
self.optionsGroupBoxLayout = QtGui.QGridLayout()
self.optionsGroupBoxLayout.addWidget(self.delaySpinBoxLabel, 0, 0)
self.optionsGroupBoxLayout.addWidget(self.delaySpinBox, 0, 1)
self.optionsGroupBoxLayout.addWidget(self.hideThisWindowCheckBox, 1, 0, 1, 2)
self.optionsGroupBox.setLayout(self.optionsGroupBoxLayout)
def createButtonsLayout(self):
self.newScreenshotButton = self.createButton(self.tr("New Screenshot"),
self.newScreenshot)
self.saveScreenshotButton = self.createButton(self.tr("Save Screenshot"),
self.saveScreenshot)
self.quitScreenshotButton = self.createButton(self.tr("Quit"),
self.close)
self.buttonsLayout = QtGui.QHBoxLayout()
self.buttonsLayout.addStretch()
self.buttonsLayout.addWidget(self.newScreenshotButton)
self.buttonsLayout.addWidget(self.saveScreenshotButton)
self.buttonsLayout.addWidget(self.quitScreenshotButton)
def createButton(self, text, member):
button = QtGui.QPushButton(text)
button.connect(button, QtCore.SIGNAL("clicked()"), member)
return button
def updateScreenshotLabel(self):
self.screenshotLabel.setPixmap(self.originalPixmap.scaled(
self.screenshotLabel.size(), QtCore.Qt.KeepAspectRatio, QtCore.Qt.SmoothTransformation))
if __name__ == "__main__":
app = QtGui.QApplication(sys.argv)
screenshot = Screenshot()
screenshot.show()
sys.exit(app.exec_())
|
gpl-2.0
|
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thresholdsoftware/asylum-v2.0
|
openerp/addons/crm_profiling/crm_profiling.py
|
52
|
10442
|
# -*- 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
from openerp.osv import orm
from openerp.tools.translate import _
def _get_answers(cr, uid, ids):
"""
@param cr: the current row, from the database cursor,
@param uid: the current user’s ID for security checks,
@param ids: List of crm profiling’s IDs """
query = """
select distinct(answer)
from profile_question_yes_rel
where profile IN %s"""
cr.execute(query, (tuple(ids),))
ans_yes = [x[0] for x in cr.fetchall()]
query = """
select distinct(answer)
from profile_question_no_rel
where profile IN %s"""
cr.execute(query, (tuple(ids),))
ans_no = [x[0] for x in cr.fetchall()]
return [ans_yes, ans_no]
def _get_parents(cr, uid, ids):
"""
@param cr: the current row, from the database cursor,
@param uid: the current user’s ID for security checks,
@param ids: List of crm profiling’s IDs
@return: Get parents's Id """
ids_to_check = ids
cr.execute("""
select distinct(parent_id)
from crm_segmentation
where parent_id is not null
and id IN %s""",(tuple(ids),))
parent_ids = [x[0] for x in cr.fetchall()]
trigger = False
for x in parent_ids:
if x not in ids_to_check:
ids_to_check.append(x)
trigger = True
if trigger:
ids_to_check = _get_parents(cr, uid, ids_to_check)
return ids_to_check
def test_prof(cr, uid, seg_id, pid, answers_ids=None):
""" return True if the partner pid fetch the segmentation rule seg_id
@param cr: the current row, from the database cursor,
@param uid: the current user’s ID for security checks,
@param seg_id: Segmentaion's ID
@param pid: partner's ID
@param answers_ids: Answers's IDs
"""
ids_to_check = _get_parents(cr, uid, [seg_id])
[yes_answers, no_answers] = _get_answers(cr, uid, ids_to_check)
temp = True
for y_ans in yes_answers:
if y_ans not in answers_ids:
temp = False
break
if temp:
for ans in answers_ids:
if ans in no_answers:
temp = False
break
if temp:
return True
return False
def _recompute_categ(self, cr, uid, pid, answers_ids):
""" Recompute category
@param self: The object pointer
@param cr: the current row, from the database cursor,
@param uid: the current user’s ID for security checks,
@param pid: partner's ID
@param answers_ids: Answers's IDs
"""
ok = []
cr.execute('''
select r.category_id
from res_partner_res_partner_category_rel r left join crm_segmentation s on (r.category_id = s.categ_id)
where r.partner_id = %s and (s.exclusif = false or s.exclusif is null)
''', (pid,))
for x in cr.fetchall():
ok.append(x[0])
query = '''
select id, categ_id
from crm_segmentation
where profiling_active = true'''
if ok != []:
query = query +''' and categ_id not in(%s)'''% ','.join([str(i) for i in ok ])
query = query + ''' order by id '''
cr.execute(query)
segm_cat_ids = cr.fetchall()
for (segm_id, cat_id) in segm_cat_ids:
if test_prof(cr, uid, segm_id, pid, answers_ids):
ok.append(cat_id)
return ok
class question(osv.osv):
""" Question """
_name="crm_profiling.question"
_description= "Question"
_columns={
'name': fields.char("Question",size=128, required=True),
'answers_ids': fields.one2many("crm_profiling.answer","question_id","Avalaible Answers",),
}
question()
class questionnaire(osv.osv):
""" Questionnaire """
_name="crm_profiling.questionnaire"
_description= "Questionnaire"
_columns = {
'name': fields.char("Questionnaire",size=128, required=True),
'description':fields.text("Description", required=True),
'questions_ids': fields.many2many('crm_profiling.question','profile_questionnaire_quest_rel',\
'questionnaire', 'question', "Questions"),
}
questionnaire()
class answer(osv.osv):
_name="crm_profiling.answer"
_description="Answer"
_columns={
"name": fields.char("Answer",size=128, required=True),
"question_id": fields.many2one('crm_profiling.question',"Question"),
}
answer()
class partner(osv.osv):
_inherit="res.partner"
_columns={
"answers_ids": fields.many2many("crm_profiling.answer","partner_question_rel",\
"partner","answer","Answers"),
}
def _questionnaire_compute(self, cr, uid, answers, context=None):
"""
@param self: The object pointer
@param cr: the current row, from the database cursor,
@param uid: the current user’s ID for security checks,
@param data: Get Data
@param context: A standard dictionary for contextual values """
partner_id = context.get('active_id')
query = "select answer from partner_question_rel where partner=%s"
cr.execute(query, (partner_id,))
for x in cr.fetchall():
answers.append(x[0])
self.write(cr, uid, [partner_id], {'answers_ids': [[6, 0, answers]]}, context=context)
return {}
def write(self, cr, uid, ids, vals, context=None):
"""
@param self: The object pointer
@param cr: the current row, from the database cursor,
@param uid: the current user’s ID for security checks,
@param ids: List of crm profiling’s IDs
@param context: A standard dictionary for contextual values """
if 'answers_ids' in vals:
vals['category_id']=[[6, 0, _recompute_categ(self, cr, uid, ids[0], vals['answers_ids'][0][2])]]
return super(partner, self).write(cr, uid, ids, vals, context=context)
partner()
class crm_segmentation(osv.osv):
""" CRM Segmentation """
_inherit="crm.segmentation"
_columns={
"answer_yes": fields.many2many("crm_profiling.answer","profile_question_yes_rel",\
"profile","answer","Included Answers"),
"answer_no": fields.many2many("crm_profiling.answer","profile_question_no_rel",\
"profile","answer","Excluded Answers"),
'parent_id': fields.many2one('crm.segmentation', 'Parent Profile'),
'child_ids': fields.one2many('crm.segmentation', 'parent_id', 'Child Profiles'),
'profiling_active': fields.boolean('Use The Profiling Rules', help='Check\
this box if you want to use this tab as part of the \
segmentation rule. If not checked, the criteria beneath will be ignored')
}
_constraints = [
(osv.osv._check_recursion, 'Error ! You cannot create recursive profiles.', ['parent_id'])
]
def process_continue(self, cr, uid, ids, start=False):
"""
@param self: The object pointer
@param cr: the current row, from the database cursor,
@param uid: the current user’s ID for security checks,
@param ids: List of crm segmentation’s IDs """
partner_obj = self.pool.get('res.partner')
categs = self.read(cr,uid,ids,['categ_id','exclusif','partner_id', \
'sales_purchase_active', 'profiling_active'])
for categ in categs:
if start:
if categ['exclusif']:
cr.execute('delete from res_partner_res_partner_category_rel where \
category_id=%s', (categ['categ_id'][0],))
id = categ['id']
cr.execute('select id from res_partner order by id ')
partners = [x[0] for x in cr.fetchall()]
if categ['sales_purchase_active']:
to_remove_list=[]
cr.execute('select id from crm_segmentation_line where segmentation_id=%s', (id,))
line_ids = [x[0] for x in cr.fetchall()]
for pid in partners:
if (not self.pool.get('crm.segmentation.line').test(cr, uid, line_ids, pid)):
to_remove_list.append(pid)
for pid in to_remove_list:
partners.remove(pid)
if categ['profiling_active']:
to_remove_list = []
for pid in partners:
cr.execute('select distinct(answer) from partner_question_rel where partner=%s',(pid,))
answers_ids = [x[0] for x in cr.fetchall()]
if (not test_prof(cr, uid, id, pid, answers_ids)):
to_remove_list.append(pid)
for pid in to_remove_list:
partners.remove(pid)
for partner in partner_obj.browse(cr, uid, partners):
category_ids = [categ_id.id for categ_id in partner.category_id]
if categ['categ_id'][0] not in category_ids:
cr.execute('insert into res_partner_res_partner_category_rel (category_id,partner_id) values (%s,%s)', (categ['categ_id'][0],partner.id))
self.write(cr, uid, [id], {'state':'not running', 'partner_id':0})
return True
crm_segmentation()
# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
|
agpl-3.0
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jianglu/mojo
|
third_party/android_platform/development/scripts/stack_core.py
|
49
|
10687
|
#!/usr/bin/env python
#
# Copyright (C) 2013 The Android Open Source Project
#
# 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.
"""stack symbolizes native crash dumps."""
import re
import symbol
def PrintTraceLines(trace_lines):
"""Print back trace."""
maxlen = max(map(lambda tl: len(tl[1]), trace_lines))
print
print "Stack Trace:"
print " RELADDR " + "FUNCTION".ljust(maxlen) + " FILE:LINE"
for tl in trace_lines:
(addr, symbol_with_offset, location) = tl
print " %8s %s %s" % (addr, symbol_with_offset.ljust(maxlen), location)
return
def PrintValueLines(value_lines):
"""Print stack data values."""
maxlen = max(map(lambda tl: len(tl[2]), value_lines))
print
print "Stack Data:"
print " ADDR VALUE " + "FUNCTION".ljust(maxlen) + " FILE:LINE"
for vl in value_lines:
(addr, value, symbol_with_offset, location) = vl
print " %8s %8s %s %s" % (addr, value, symbol_with_offset.ljust(maxlen), location)
return
UNKNOWN = "<unknown>"
HEAP = "[heap]"
STACK = "[stack]"
def PrintOutput(trace_lines, value_lines, more_info):
if trace_lines:
PrintTraceLines(trace_lines)
if value_lines:
# TODO(cjhopman): it seems that symbol.SymbolInformation always fails to
# find information for addresses in value_lines in chrome libraries, and so
# value_lines have little value to us and merely clutter the output.
# Since information is sometimes contained in these lines (from system
# libraries), don't completely disable them.
if more_info:
PrintValueLines(value_lines)
def PrintDivider():
print
print "-----------------------------------------------------\n"
def ConvertTrace(lines, more_info):
"""Convert strings containing native crash to a stack."""
process_info_line = re.compile("(pid: [0-9]+, tid: [0-9]+.*)")
signal_line = re.compile("(signal [0-9]+ \(.*\).*)")
register_line = re.compile("(([ ]*[0-9a-z]{2} [0-9a-f]{8}){4})")
thread_line = re.compile("(.*)(\-\-\- ){15}\-\-\-")
dalvik_jni_thread_line = re.compile("(\".*\" prio=[0-9]+ tid=[0-9]+ NATIVE.*)")
dalvik_native_thread_line = re.compile("(\".*\" sysTid=[0-9]+ nice=[0-9]+.*)")
width = "{8}"
if symbol.ARCH == "arm64" or symbol.ARCH == "x86_64":
width = "{16}"
# Matches LOG(FATAL) lines, like the following example:
# [FATAL:source_file.cc(33)] Check failed: !instances_.empty()
log_fatal_line = re.compile("(\[FATAL\:.*\].*)$")
# Note that both trace and value line matching allow for variable amounts of
# whitespace (e.g. \t). This is because the we want to allow for the stack
# tool to operate on AndroidFeedback provided system logs. AndroidFeedback
# strips out double spaces that are found in tombsone files and logcat output.
#
# Examples of matched trace lines include lines from tombstone files like:
# #00 pc 001cf42e /data/data/com.my.project/lib/libmyproject.so
# #00 pc 001cf42e /data/data/com.my.project/lib/libmyproject.so (symbol)
# Or lines from AndroidFeedback crash report system logs like:
# 03-25 00:51:05.520 I/DEBUG ( 65): #00 pc 001cf42e /data/data/com.my.project/lib/libmyproject.so
# Please note the spacing differences.
trace_line = re.compile("(.*)\#(?P<frame>[0-9]+)[ \t]+(..)[ \t]+(0x)?(?P<address>[0-9a-f]{0,16})[ \t]+(?P<lib>[^\r\n \t]*)(?P<symbol_present> \((?P<symbol_name>.*)\))?") # pylint: disable-msg=C6310
# Matches lines emitted by src/base/debug/stack_trace_android.cc, like:
# #00 0x7324d92d /data/app-lib/org.chromium.native_test-1/libbase.cr.so+0x0006992d
# This pattern includes the unused named capture groups <symbol_present> and
# <symbol_name> so that it can interoperate with the |trace_line| regex.
debug_trace_line = re.compile(
'(.*)(?P<frame>\#[0-9]+ 0x[0-9a-f]' + width + ') '
'(?P<lib>[^+]+)\+0x(?P<address>[0-9a-f]' + width + ')'
'(?P<symbol_present>)(?P<symbol_name>)')
# Examples of matched value lines include:
# bea4170c 8018e4e9 /data/data/com.my.project/lib/libmyproject.so
# bea4170c 8018e4e9 /data/data/com.my.project/lib/libmyproject.so (symbol)
# 03-25 00:51:05.530 I/DEBUG ( 65): bea4170c 8018e4e9 /data/data/com.my.project/lib/libmyproject.so
# Again, note the spacing differences.
value_line = re.compile("(.*)([0-9a-f]" + width + ")[ \t]+([0-9a-f]" + width + ")[ \t]+([^\r\n \t]*)( \((.*)\))?")
# Lines from 'code around' sections of the output will be matched before
# value lines because otheriwse the 'code around' sections will be confused as
# value lines.
#
# Examples include:
# 801cf40c ffffc4cc 00b2f2c5 00b2f1c7 00c1e1a8
# 03-25 00:51:05.530 I/DEBUG ( 65): 801cf40c ffffc4cc 00b2f2c5 00b2f1c7 00c1e1a8
code_line = re.compile("(.*)[ \t]*[a-f0-9]" + width +
"[ \t]*[a-f0-9]" + width +
"[ \t]*[a-f0-9]" + width +
"[ \t]*[a-f0-9]" + width +
"[ \t]*[a-f0-9]" + width +
"[ \t]*[ \r\n]") # pylint: disable-msg=C6310
trace_lines = []
value_lines = []
last_frame = -1
# It is faster to get symbol information with a single call rather than with
# separate calls for each line. Since symbol.SymbolInformation caches results,
# we can extract all the addresses that we will want symbol information for
# from the log and call symbol.SymbolInformation so that the results are
# cached in the following lookups.
code_addresses = {}
for ln in lines:
line = unicode(ln, errors='ignore')
lib, address = None, None
match = trace_line.match(line) or debug_trace_line.match(line)
if match:
address, lib = match.group('address', 'lib')
match = value_line.match(line)
if match and not code_line.match(line):
(_0, _1, address, lib, _2, _3) = match.groups()
if lib:
code_addresses.setdefault(lib, set()).add(address)
for lib in code_addresses:
symbol.SymbolInformationForSet(
symbol.TranslateLibPath(lib), code_addresses[lib], more_info)
for ln in lines:
# AndroidFeedback adds zero width spaces into its crash reports. These
# should be removed or the regular expresssions will fail to match.
line = unicode(ln, errors='ignore')
process_header = process_info_line.search(line)
signal_header = signal_line.search(line)
register_header = register_line.search(line)
thread_header = thread_line.search(line)
dalvik_jni_thread_header = dalvik_jni_thread_line.search(line)
dalvik_native_thread_header = dalvik_native_thread_line.search(line)
log_fatal_header = log_fatal_line.search(line)
if (process_header or signal_header or register_header or thread_header or
dalvik_jni_thread_header or dalvik_native_thread_header or
log_fatal_header) :
if trace_lines or value_lines:
PrintOutput(trace_lines, value_lines, more_info)
PrintDivider()
trace_lines = []
value_lines = []
last_frame = -1
if process_header:
print process_header.group(1)
if signal_header:
print signal_header.group(1)
if register_header:
print register_header.group(1)
if thread_header:
print thread_header.group(1)
if dalvik_jni_thread_header:
print dalvik_jni_thread_header.group(1)
if dalvik_native_thread_header:
print dalvik_native_thread_header.group(1)
if log_fatal_header:
print log_fatal_header.group(1)
continue
match = trace_line.match(line) or debug_trace_line.match(line)
if match:
frame, code_addr, area, symbol_present, symbol_name = match.group(
'frame', 'address', 'lib', 'symbol_present', 'symbol_name')
if frame <= last_frame and (trace_lines or value_lines):
PrintOutput(trace_lines, value_lines, more_info)
PrintDivider()
trace_lines = []
value_lines = []
last_frame = frame
if area == UNKNOWN or area == HEAP or area == STACK:
trace_lines.append((code_addr, "", area))
else:
# If a calls b which further calls c and c is inlined to b, we want to
# display "a -> b -> c" in the stack trace instead of just "a -> c"
info = symbol.SymbolInformation(area, code_addr, more_info)
nest_count = len(info) - 1
for (source_symbol, source_location, object_symbol_with_offset) in info:
if not source_symbol:
if symbol_present:
source_symbol = symbol.CallCppFilt(symbol_name)
else:
source_symbol = UNKNOWN
if not source_location:
source_location = area
if nest_count > 0:
nest_count = nest_count - 1
trace_lines.append(("v------>", source_symbol, source_location))
else:
if not object_symbol_with_offset:
object_symbol_with_offset = source_symbol
trace_lines.append((code_addr,
object_symbol_with_offset,
source_location))
if code_line.match(line):
# Code lines should be ignored. If this were exluded the 'code around'
# sections would trigger value_line matches.
continue;
match = value_line.match(line)
if match:
(unused_, addr, value, area, symbol_present, symbol_name) = match.groups()
if area == UNKNOWN or area == HEAP or area == STACK or not area:
value_lines.append((addr, value, "", area))
else:
info = symbol.SymbolInformation(area, value, more_info)
(source_symbol, source_location, object_symbol_with_offset) = info.pop()
if not source_symbol:
if symbol_present:
source_symbol = symbol.CallCppFilt(symbol_name)
else:
source_symbol = UNKNOWN
if not source_location:
source_location = area
if not object_symbol_with_offset:
object_symbol_with_offset = source_symbol
value_lines.append((addr,
value,
object_symbol_with_offset,
source_location))
PrintOutput(trace_lines, value_lines, more_info)
|
bsd-3-clause
|
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rbarlow/pulp_docker
|
plugins/pulp_docker/plugins/importers/sync.py
|
1
|
16753
|
"""
This module contains the primary sync entry point for Docker v2 registries.
"""
from gettext import gettext as _
import errno
import httplib
import itertools
import logging
import os
from pulp.common.plugins import importer_constants
from pulp.plugins.util import nectar_config, publish_step
from pulp.server.controllers import repository
from pulp.server.exceptions import MissingValue, PulpCodedException
from pulp_docker.common import constants, error_codes
from pulp_docker.plugins import models, registry, token_util
from pulp_docker.plugins.importers import v1_sync
_logger = logging.getLogger(__name__)
class SyncStep(publish_step.PluginStep):
"""
This PluginStep is the primary entry point into a repository sync against a Docker v2 registry.
"""
# The sync will fail if these settings are not provided in the config
required_settings = (constants.CONFIG_KEY_UPSTREAM_NAME, importer_constants.KEY_FEED)
def __init__(self, repo=None, conduit=None, config=None):
"""
This method initializes the SyncStep. It first validates the config to ensure that the
required keys are present. It then constructs some needed items (such as a download config),
and determines whether the feed URL is a Docker v2 registry or not. If it is, it
instantiates child tasks that are appropriate for syncing a v2 registry, and if it is not it
raises a NotImplementedError.
:param repo: repository to sync
:type repo: pulp.plugins.model.Repository
:param conduit: sync conduit to use
:type conduit: pulp.plugins.conduits.repo_sync.RepoSyncConduit
:param config: config object for the sync
:type config: pulp.plugins.config.PluginCallConfiguration
"""
super(SyncStep, self).__init__(
step_type=constants.SYNC_STEP_MAIN, repo=repo, conduit=conduit, config=config,
plugin_type=constants.IMPORTER_TYPE_ID)
self.description = _('Syncing Docker Repository')
self._validate(config)
download_config = nectar_config.importer_config_to_nectar_config(config.flatten())
upstream_name = config.get(constants.CONFIG_KEY_UPSTREAM_NAME)
url = config.get(importer_constants.KEY_FEED)
# The DownloadMetadataSteps will set these to a list of Manifests and Blobs
self.available_manifests = []
self.available_blobs = []
# Unit keys, populated by v1_sync.GetMetadataStep
self.v1_available_units = []
# populated by v1_sync.GetMetadataStep
self.v1_tags = {}
# Create a Repository object to interact with.
self.index_repository = registry.V2Repository(
upstream_name, download_config, url, self.get_working_dir())
self.v1_index_repository = registry.V1Repository(upstream_name, download_config, url,
self.get_working_dir())
# determine which API versions are supported and add corresponding steps
v2_enabled = config.get(constants.CONFIG_KEY_ENABLE_V2, default=True)
v1_enabled = config.get(constants.CONFIG_KEY_ENABLE_V1, default=False)
if not v2_enabled:
_logger.debug(_('v2 API skipped due to config'))
if not v1_enabled:
_logger.debug(_('v1 API skipped due to config'))
v2_found = v2_enabled and self.index_repository.api_version_check()
v1_found = v1_enabled and self.v1_index_repository.api_version_check()
if v2_found:
_logger.debug(_('v2 API found'))
self.add_v2_steps(repo, conduit, config)
if v1_found:
_logger.debug(_('v1 API found'))
self.add_v1_steps(repo, config)
if not any((v1_found, v2_found)):
raise PulpCodedException(error_code=error_codes.DKR1008, registry=url)
def add_v2_steps(self, repo, conduit, config):
"""
Add v2 sync steps.
:param repo: repository to sync
:type repo: pulp.plugins.model.Repository
:param conduit: sync conduit to use
:type conduit: pulp.plugins.conduits.repo_sync.RepoSyncConduit
:param config: config object for the sync
:type config: pulp.plugins.config.PluginCallConfiguration
"""
self.add_child(DownloadManifestsStep(repo=repo, conduit=conduit, config=config))
# save these steps so their "units_to_download" attributes can be accessed later. We want
# them to be separate steps because we have already downloaded all the Manifests but should
# only save the new ones, while needing to go download the missing Blobs. Thus they must be
# handled separately.
self.step_get_local_manifests = publish_step.GetLocalUnitsStep(
importer_type=constants.IMPORTER_TYPE_ID, available_units=self.available_manifests)
self.step_get_local_blobs = publish_step.GetLocalUnitsStep(
importer_type=constants.IMPORTER_TYPE_ID, available_units=self.available_blobs)
self.add_child(self.step_get_local_manifests)
self.add_child(self.step_get_local_blobs)
self.add_child(
TokenAuthDownloadStep(
step_type=constants.SYNC_STEP_DOWNLOAD, downloads=self.generate_download_requests(),
repo=self.repo, config=self.config, description=_('Downloading remote files')))
self.add_child(SaveUnitsStep())
self.save_tags_step = SaveTagsStep()
self.add_child(self.save_tags_step)
def add_v1_steps(self, repo, config):
"""
Add v1 sync steps.
:param repo: repository to sync
:type repo: pulp.plugins.model.Repository
:param config: config object for the sync
:type config: pulp.plugins.config.PluginCallConfiguration
"""
self.add_child(v1_sync.GetMetadataStep())
# save this step so its "units_to_download" attribute can be accessed later
self.v1_step_get_local_units = publish_step.GetLocalUnitsStep(
constants.IMPORTER_TYPE_ID, available_units=self.v1_available_units)
self.v1_step_get_local_units.step_id = constants.SYNC_STEP_GET_LOCAL_V1
self.add_child(self.v1_step_get_local_units)
self.add_child(publish_step.DownloadStep(
constants.SYNC_STEP_DOWNLOAD_V1, downloads=self.v1_generate_download_requests(),
repo=repo, config=config, description=_('Downloading remote files')))
self.add_child(v1_sync.SaveImages())
def generate_download_requests(self):
"""
a generator that yields DownloadRequest objects based on which units
were determined to be needed. This looks at the GetLocalUnits step's
output, which includes a list of units that need their files downloaded.
:return: generator of DownloadRequest instances
:rtype: types.GeneratorType
"""
for unit in self.step_get_local_blobs.units_to_download:
yield self.index_repository.create_blob_download_request(unit.digest)
def v1_generate_download_requests(self):
"""
a generator that yields DownloadRequest objects based on which units
were determined to be needed. This looks at the GetLocalUnits step's
output, which includes a list of units that need their files downloaded.
:return: generator of DownloadRequest instances
:rtype: types.GeneratorType
"""
for unit in self.v1_step_get_local_units.units_to_download:
destination_dir = os.path.join(self.get_working_dir(), unit.image_id)
try:
os.makedirs(destination_dir, mode=0755)
except OSError, e:
# it's ok if the directory exists
if e.errno != errno.EEXIST:
raise
# we already retrieved the ancestry files for the tagged images, so
# some of these will already exist
if not os.path.exists(os.path.join(destination_dir, 'ancestry')):
yield self.v1_index_repository.create_download_request(unit.image_id, 'ancestry',
destination_dir)
yield self.v1_index_repository.create_download_request(unit.image_id, 'json',
destination_dir)
yield self.v1_index_repository.create_download_request(unit.image_id, 'layer',
destination_dir)
@classmethod
def _validate(cls, config):
"""
Ensure that any required settings have non-empty values.
:param config: config object for the sync
:type config: pulp.plugins.config.PluginCallConfiguration
:raises MissingValue: if any required sync setting is missing
"""
missing = []
for key in cls.required_settings:
if not config.get(key):
missing.append(key)
if missing:
raise MissingValue(missing)
class DownloadManifestsStep(publish_step.PluginStep):
def __init__(self, repo=None, conduit=None, config=None):
"""
:param repo: repository to sync
:type repo: pulp.plugins.model.Repository
:param conduit: sync conduit to use
:type conduit: pulp.plugins.conduits.repo_sync.RepoSyncConduit
:param config: config object for the sync
:type config: pulp.plugins.config.PluginCallConfiguration
"""
super(DownloadManifestsStep, self).__init__(
step_type=constants.SYNC_STEP_METADATA, repo=repo, conduit=conduit, config=config,
plugin_type=constants.IMPORTER_TYPE_ID)
self.description = _('Downloading manifests')
def process_main(self):
"""
Determine which manifests and blobs are available upstream, get the upstream tags, and
save a list of available unit keys and manifests on the SyncStep.
"""
super(DownloadManifestsStep, self).process_main()
_logger.debug(self.description)
try:
available_tags = self.parent.index_repository.get_tags()
except IOError:
_logger.info(_('Could not get tags through v2 API'))
return
# This will be a set of Blob digests. The set is used because they can be repeated and we
# only want to download each layer once.
available_blobs = set()
self.total_units = len(available_tags)
for tag in available_tags:
digest, manifest = self.parent.index_repository.get_manifest(tag)
# Save the manifest to the working directory
with open(os.path.join(self.get_working_dir(), digest), 'w') as manifest_file:
manifest_file.write(manifest)
manifest = models.Manifest.from_json(manifest, digest)
self.parent.available_manifests.append(manifest)
for layer in manifest.fs_layers:
available_blobs.add(layer.blob_sum)
# Remember this tag for the SaveTagsStep.
self.parent.save_tags_step.tagged_manifests[tag] = manifest
self.progress_successes += 1
# Update the available units with the Manifests and Blobs we learned about
available_blobs = [models.Blob(digest=d) for d in available_blobs]
self.parent.available_blobs.extend(available_blobs)
class SaveUnitsStep(publish_step.SaveUnitsStep):
"""
Save the Units that need to be added to the repository and move them to the content folder.
"""
def __init__(self):
"""
Initialize the step, setting its description.
"""
super(SaveUnitsStep, self).__init__(step_type=constants.SYNC_STEP_SAVE)
self.description = _('Saving Manifests and Blobs')
def get_iterator(self):
"""
Return an iterator that will traverse the list of Units that were downloaded.
:return: An iterable containing the Blobs and Manifests that were downloaded and are new to
Pulp.
:rtype: iterator
"""
return iter(itertools.chain(self.parent.step_get_local_blobs.units_to_download,
self.parent.step_get_local_manifests.units_to_download))
def process_main(self, item):
"""
This method gets called with each Unit that was downloaded from the parent step. It moves
each Unit's files into permanent storage, and saves each Unit into the database and into the
repository.
:param item: The Unit to save in Pulp.
:type item: pulp.server.db.model.FileContentUnit
"""
item.set_storage_path(item.digest)
item.save_and_import_content(os.path.join(self.get_working_dir(), item.digest))
repository.associate_single_unit(self.get_repo().repo_obj, item)
class SaveTagsStep(publish_step.SaveUnitsStep):
"""
Create or update Tag objects to reflect the tags that we found during the sync.
"""
def __init__(self):
"""
Initialize the step, setting its description.
"""
super(SaveTagsStep, self).__init__(step_type=constants.SYNC_STEP_SAVE)
self.description = _('Saving Tags')
# This dictionary maps tag named to Manifests that have the tag in the remote repository
self.tagged_manifests = {}
def process_main(self):
"""
For each tag found in the remote repository, if a Tag object exists in this repository we
need to make sure its manifest_digest attribute points at this Manifest. If not, we need to
create one. We'll rely on the uniqueness constraint in MongoDB to allow us to try to create
it, and if that fails we'll fall back to updating the existing one.
"""
tagged_manifest_items = self.tagged_manifests.items()
self.total_units = len(tagged_manifest_items)
for tag, manifest in tagged_manifest_items:
new_tag = models.Tag.objects.tag_manifest(repo_id=self.get_repo().repo_obj.repo_id,
tag_name=tag, manifest_digest=manifest.digest)
if new_tag:
repository.associate_single_unit(self.get_repo().repo_obj, new_tag)
self.progress_successes += 1
class TokenAuthDownloadStep(publish_step.DownloadStep):
"""
Download remote files. For v2, this may require a bearer token to be used. This step attempts
to download files, and if it fails due to a 401, it will retrieve the auth token and retry the
download.
"""
def __init__(self, step_type, downloads=None, repo=None, conduit=None, config=None,
working_dir=None, plugin_type=None, description=''):
"""
Initialize the step, setting its description.
"""
super(TokenAuthDownloadStep, self).__init__(
step_type, downloads=downloads, repo=repo, conduit=conduit, config=config,
working_dir=working_dir, plugin_type=plugin_type)
self.description = _('Downloading remote files')
self.token = None
self._requests_map = {}
def process_main(self, item=None):
"""
Overrides the parent method to get a new token and try again if response is a 401.
"""
# Allow the original request to be retrieved from the url.
for request in self.downloads:
self._requests_map[request.url] = request
for request in self.downloads:
if self.token:
token_util.add_auth_header(request, self.token)
self.downloader.download_one(request, events=True)
def download_failed(self, report):
"""
If the download fails due to a 401, attempt to retreive a token and try again.
:param report: download report
:type report: nectar.report.DownloadReport
"""
if report.error_report.get('response_code') == httplib.UNAUTHORIZED:
_logger.debug(_('Download unauthorized, attempting to retrieve a token.'))
request = self._requests_map[report.url]
token = token_util.request_token(self.downloader, request, report.headers)
token_util.add_auth_header(request, token)
_logger.debug("Trying download again with new bearer token.")
report = self.downloader.download_one(request, events=True)
if report.state == report.DOWNLOAD_FAILED:
super(TokenAuthDownloadStep, self).download_failed(report)
|
gpl-2.0
|
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ganeti/ganeti-doc
|
roles/ganeti-doc/files/srv/ganeti-vcs/hooks/ciabot.py
|
1
|
7112
|
#!/usr/bin/env python
# Copyright (c) 2010 Eric S. Raymond <esr@thyrsus.com>
# Distributed under BSD terms.
#
# Google changes (iustin):
# - taken from upstream git repo, contrib/ciabot/ciabot.py
# - disabled cgit.cgi and use gitweb as we use it on git.ganeti.org
# (url tweaked)
# - to not use tinyurl
# - remove the url from the log
# - hardcode hostname
#
# This script contains porcelain and porcelain byproducts.
# It's Python because the Python standard libraries avoid portability/security
# issues raised by callouts in the ancestral Perl and sh scripts. It should
# be compatible back to Python 2.1.5
#
# usage: ciabot.py [-V] [-n] [-p projectname] [refname [commits...]]
#
# This script is meant to be run either in a post-commit hook or in an
# update hook. If there's nothing unusual about your hosting setup,
# you can specify the project name with a -p option and avoid having
# to modify this script. Try it with -n to see the notification mail
# dumped to stdout and verify that it looks sane. With -V it dumps its
# version and exits.
#
# In post-commit, run it without arguments (other than possibly a -p
# option). It will query for current HEAD and the latest commit ID to
# get the information it needs.
#
# In update, call it with a refname followed by a list of commits:
# You want to reverse the order git rev-list emits becxause it lists
# from most recent to oldest.
#
# /path/to/ciabot.py ${refname} $(git rev-list ${oldhead}..${newhead} | tac)
#
# Note: this script uses mail, not XML-RPC, in order to avoid stalling
# until timeout when the CIA XML-RPC server is down.
#
#
# The project as known to CIA. You will either want to change this
# or invoke the script with a -p option to set it.
#
project=None
#
# You may not need to change these:
#
import os, sys, commands, socket, urllib
# Name of the repository.
# You can hardwire this to make the script faster.
repo = os.path.basename(os.getcwd())
# Fully-qualified domain name of this host.
# You can hardwire this to make the script faster.
#host = socket.getfqdn()
host = "git.ganeti.org"
# Changeset URL prefix for your repo: when the commit ID is appended
# to this, it should point at a CGI that will display the commit
# through gitweb or something similar. The defaults will probably
# work if you have a typical gitweb/cgit setup.
#
urlprefix="http://%(host)s/?p=%(repo)s;a=commit;h="
#urlprefix="http://%(host)s/cgi-bin/cgit.cgi/%(repo)s/commit/?id="
# The service used to turn your gitwebbish URL into a tinyurl so it
# will take up less space on the IRC notification line.
tinyifier = "http://tinyurl.com/api-create.php?url="
# The template used to generate the XML messages to CIA. You can make
# visible changes to the IRC-bot notification lines by hacking this.
# The default will produce a notfication line that looks like this:
#
# ${project}: ${author} ${repo}:${branch} * ${rev} ${files}: ${logmsg} ${url}
#
# By omitting $files you can collapse the files part to a single slash.
xml = '''\
<message>
<generator>
<name>CIA Python client for Git</name>
<version>%(gitver)s</version>
<url>%(generator)s</url>
</generator>
<source>
<project>%(project)s</project>
<branch>%(repo)s:%(branch)s</branch>
</source>
<timestamp>%(ts)s</timestamp>
<body>
<commit>
<author>%(author)s</author>
<revision>%(rev)s</revision>
<files>
%(files)s
</files>
<log>%(logmsg)s</log>
<url>%(url)s</url>
</commit>
</body>
</message>
'''
#
# No user-serviceable parts below this line:
#
# Addresses for the e-mail. The from address is a dummy, since CIA
# will never reply to this mail.
fromaddr = "CIABOT-NOREPLY@" + host
toaddr = "cia@cia.navi.cx"
# Identify the generator script.
# Should only change when the script itself gets a new home and maintainer.
generator="http://www.catb.org/~esr/ciabot.py"
def do(command):
return commands.getstatusoutput(command)[1]
def report(refname, merged):
"Generate a commit notification to be reported to CIA"
# Try to tinyfy a reference to a web view for this commit.
#try:
# url = open(urllib.urlretrieve(tinyifier + urlprefix + merged)[0]).read()
#except:
# url = urlprefix + merged
# tinyurl disabled
url = urlprefix + merged
branch = os.path.basename(refname)
# Compute a shortnane for the revision
rev = do("git describe ${merged} 2>/dev/null") or merged[:12]
# Extract the neta-information for the commit
rawcommit = do("git cat-file commit " + merged)
files=do("git diff-tree -r --name-only '"+ merged +"' | sed -e '1d' -e 's-.*-<file>&</file>-'")
inheader = True
headers = {}
logmsg = ""
for line in rawcommit.split("\n"):
if inheader:
if line:
fields = line.split()
headers[fields[0]] = " ".join(fields[1:])
else:
inheader = False
else:
logmsg = line
break
(author, ts) = headers["author"].split(">")
# This discards the part of the authors addrsss after @.
# Might be bnicece to ship the full email address, if not
# for spammers' address harvesters - getting this wrong
# would make the freenode #commits channel into harvester heaven.
author = author.replace("<", "").split("@")[0].split()[-1]
# This ignores the timezone. Not clear what to do with it...
ts = ts.strip().split()[0]
context = locals()
context.update(globals())
out = xml % context
message = '''\
Message-ID: <%(merged)s.%(author)s@%(project)s>
From: %(fromaddr)s
To: %(toaddr)s
Content-type: text/xml
Subject: DeliverXML
%(out)s''' % locals()
return message
if __name__ == "__main__":
import getopt
try:
(options, arguments) = getopt.getopt(sys.argv[1:], "np:V")
except getopt.GetoptError, msg:
print "ciabot.py: " + str(msg)
raise SystemExit, 1
mailit = True
for (switch, val) in options:
if switch == '-p':
project = val
elif switch == '-n':
mailit = False
elif switch == '-V':
print "ciabot.py: version 3.2"
sys.exit(0)
# Cough and die if user has not specified a project
if not project:
sys.stderr.write("ciabot.py: no project specified, bailing out.\n")
sys.exit(1)
# We'll need the git version number.
gitver = do("git --version").split()[0]
urlprefix = urlprefix % globals()
# The script wants a reference to head followed by the list of
# commit ID to report about.
if len(arguments) == 0:
refname = do("git symbolic-ref HEAD 2>/dev/null")
merges = [do("git rev-parse HEAD")]
else:
refname = arguments[0]
merges = arguments[1:]
if mailit:
import smtplib
server = smtplib.SMTP('localhost')
for merged in merges:
message = report(refname, merged)
if mailit:
server.sendmail(fromaddr, [toaddr], message)
else:
print message
if mailit:
server.quit()
#End
|
gpl-2.0
|
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ATIX-AG/ansible
|
contrib/inventory/openvz.py
|
196
|
2818
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# openvz.py
#
# Copyright 2014 jordonr <jordon@beamsyn.net>
#
# This file is part of Ansible.
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
#
# Inspired by libvirt_lxc.py inventory script
# https://github.com/ansible/ansible/blob/e5ef0eca03cbb6c8950c06dc50d0ca22aa8902f4/plugins/inventory/libvirt_lxc.py
#
# Groups are determined by the description field of openvz guests
# multiple groups can be separated by commas: webserver,dbserver
from subprocess import Popen, PIPE
import sys
import json
# List openvz hosts
vzhosts = ['vzhost1', 'vzhost2', 'vzhost3']
# Add openvz hosts to the inventory and Add "_meta" trick
inventory = {'vzhosts': {'hosts': vzhosts}, '_meta': {'hostvars': {}}}
# default group, when description not defined
default_group = ['vzguest']
def get_guests():
# Loop through vzhosts
for h in vzhosts:
# SSH to vzhost and get the list of guests in json
pipe = Popen(['ssh', h, 'vzlist', '-j'], stdout=PIPE, universal_newlines=True)
# Load Json info of guests
json_data = json.loads(pipe.stdout.read())
# loop through guests
for j in json_data:
# Add information to host vars
inventory['_meta']['hostvars'][j['hostname']] = {
'ctid': j['ctid'],
'veid': j['veid'],
'vpsid': j['vpsid'],
'private_path': j['private'],
'root_path': j['root'],
'ip': j['ip']
}
# determine group from guest description
if j['description'] is not None:
groups = j['description'].split(",")
else:
groups = default_group
# add guest to inventory
for g in groups:
if g not in inventory:
inventory[g] = {'hosts': []}
inventory[g]['hosts'].append(j['hostname'])
return inventory
if len(sys.argv) == 2 and sys.argv[1] == '--list':
inv_json = get_guests()
print(json.dumps(inv_json, sort_keys=True))
elif len(sys.argv) == 3 and sys.argv[1] == '--host':
print(json.dumps({}))
else:
print("Need an argument, either --list or --host <host>")
|
gpl-3.0
|
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Pragith/p8ste
|
src/app/user.py
|
2
|
1733
|
# Copyright 2008 Thomas Quemard
#
# Paste-It 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 3.0, or (at your option)
# any later version.
#
# Paste-It 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.
from google.appengine.api import users
import hashlib
import app
import app.model
class User:
def refresh (self):
guser = users.get_current_user()
self.db_user = None
self.id = None
self.is_google_admin = False
self.is_logged_in = False
self.url = ""
if guser:
self.google_id = guser.user_id()
self.google_email = guser.email()
self.gravatar_id = hashlib.md5(self.google_email).hexdigest()
self.is_logged_in_google = True
self.is_google_admin = users.is_current_user_admin()
else:
self.google_id = ""
self.google_email = ""
self.gravatar_id = ""
self.is_logged_in_google = False
if self.google_id != "":
qry_user = app.model.User.all()
qry_user.filter("google_id =", self.google_id)
self.db_user = qry_user.get()
if self.db_user:
self.is_logged_in = True
self.id = self.db_user.id
self.paste_count = self.db_user.paste_count
self.url = app.url("users/%s", self.id)
_user = User()
def get_current_user ():
return _user
|
gpl-3.0
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gylian/sickrage
|
lib/github/Commit.py
|
25
|
9927
|
# -*- coding: utf-8 -*-
# ########################## Copyrights and license ############################
# #
# Copyright 2012 Vincent Jacques <vincent@vincent-jacques.net> #
# Copyright 2012 Zearin <zearin@gonk.net> #
# Copyright 2013 AKFish <akfish@gmail.com> #
# Copyright 2013 Vincent Jacques <vincent@vincent-jacques.net> #
# Copyright 2013 martinqt <m.ki2@laposte.net> #
# #
# This file is part of PyGithub. http://jacquev6.github.com/PyGithub/ #
# #
# PyGithub 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 3 of the License, or (at your option) #
# any later version. #
# #
# PyGithub 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 PyGithub. If not, see <http://www.gnu.org/licenses/>. #
# #
# ##############################################################################
import github.GithubObject
import github.PaginatedList
import github.GitCommit
import github.NamedUser
import github.CommitStatus
import github.File
import github.CommitStats
import github.CommitComment
class Commit(github.GithubObject.CompletableGithubObject):
"""
This class represents Commits. The reference can be found here http://developer.github.com/v3/git/commits/
"""
@property
def author(self):
"""
:type: :class:`github.NamedUser.NamedUser`
"""
self._completeIfNotSet(self._author)
return self._author.value
@property
def comments_url(self):
"""
:type: string
"""
self._completeIfNotSet(self._comments_url)
return self._comments_url.value
@property
def commit(self):
"""
:type: :class:`github.GitCommit.GitCommit`
"""
self._completeIfNotSet(self._commit)
return self._commit.value
@property
def committer(self):
"""
:type: :class:`github.NamedUser.NamedUser`
"""
self._completeIfNotSet(self._committer)
return self._committer.value
@property
def files(self):
"""
:type: list of :class:`github.File.File`
"""
self._completeIfNotSet(self._files)
return self._files.value
@property
def html_url(self):
"""
:type: string
"""
self._completeIfNotSet(self._html_url)
return self._html_url.value
@property
def parents(self):
"""
:type: list of :class:`github.Commit.Commit`
"""
self._completeIfNotSet(self._parents)
return self._parents.value
@property
def sha(self):
"""
:type: string
"""
self._completeIfNotSet(self._sha)
return self._sha.value
@property
def stats(self):
"""
:type: :class:`github.CommitStats.CommitStats`
"""
self._completeIfNotSet(self._stats)
return self._stats.value
@property
def url(self):
"""
:type: string
"""
self._completeIfNotSet(self._url)
return self._url.value
def create_comment(self, body, line=github.GithubObject.NotSet, path=github.GithubObject.NotSet, position=github.GithubObject.NotSet):
"""
:calls: `POST /repos/:owner/:repo/commits/:sha/comments <http://developer.github.com/v3/repos/comments>`_
:param body: string
:param line: integer
:param path: string
:param position: integer
:rtype: :class:`github.CommitComment.CommitComment`
"""
assert isinstance(body, (str, unicode)), body
assert line is github.GithubObject.NotSet or isinstance(line, (int, long)), line
assert path is github.GithubObject.NotSet or isinstance(path, (str, unicode)), path
assert position is github.GithubObject.NotSet or isinstance(position, (int, long)), position
post_parameters = {
"body": body,
}
if line is not github.GithubObject.NotSet:
post_parameters["line"] = line
if path is not github.GithubObject.NotSet:
post_parameters["path"] = path
if position is not github.GithubObject.NotSet:
post_parameters["position"] = position
headers, data = self._requester.requestJsonAndCheck(
"POST",
self.url + "/comments",
input=post_parameters
)
return github.CommitComment.CommitComment(self._requester, headers, data, completed=True)
def create_status(self, state, target_url=github.GithubObject.NotSet, description=github.GithubObject.NotSet):
"""
:calls: `POST /repos/:owner/:repo/statuses/:sha <http://developer.github.com/v3/repos/statuses>`_
:param state: string
:param target_url: string
:param description: string
:rtype: :class:`github.CommitStatus.CommitStatus`
"""
assert isinstance(state, (str, unicode)), state
assert target_url is github.GithubObject.NotSet or isinstance(target_url, (str, unicode)), target_url
assert description is github.GithubObject.NotSet or isinstance(description, (str, unicode)), description
post_parameters = {
"state": state,
}
if target_url is not github.GithubObject.NotSet:
post_parameters["target_url"] = target_url
if description is not github.GithubObject.NotSet:
post_parameters["description"] = description
headers, data = self._requester.requestJsonAndCheck(
"POST",
self._parentUrl(self._parentUrl(self.url)) + "/statuses/" + self.sha,
input=post_parameters
)
return github.CommitStatus.CommitStatus(self._requester, headers, data, completed=True)
def get_comments(self):
"""
:calls: `GET /repos/:owner/:repo/commits/:sha/comments <http://developer.github.com/v3/repos/comments>`_
:rtype: :class:`github.PaginatedList.PaginatedList` of :class:`github.CommitComment.CommitComment`
"""
return github.PaginatedList.PaginatedList(
github.CommitComment.CommitComment,
self._requester,
self.url + "/comments",
None
)
def get_statuses(self):
"""
:calls: `GET /repos/:owner/:repo/statuses/:ref <http://developer.github.com/v3/repos/statuses>`_
:rtype: :class:`github.PaginatedList.PaginatedList` of :class:`github.CommitStatus.CommitStatus`
"""
return github.PaginatedList.PaginatedList(
github.CommitStatus.CommitStatus,
self._requester,
self._parentUrl(self._parentUrl(self.url)) + "/statuses/" + self.sha,
None
)
@property
def _identity(self):
return self.sha
def _initAttributes(self):
self._author = github.GithubObject.NotSet
self._comments_url = github.GithubObject.NotSet
self._commit = github.GithubObject.NotSet
self._committer = github.GithubObject.NotSet
self._files = github.GithubObject.NotSet
self._html_url = github.GithubObject.NotSet
self._parents = github.GithubObject.NotSet
self._sha = github.GithubObject.NotSet
self._stats = github.GithubObject.NotSet
self._url = github.GithubObject.NotSet
def _useAttributes(self, attributes):
if "author" in attributes: # pragma no branch
self._author = self._makeClassAttribute(github.NamedUser.NamedUser, attributes["author"])
if "comments_url" in attributes: # pragma no branch
self._comments_url = self._makeStringAttribute(attributes["comments_url"])
if "commit" in attributes: # pragma no branch
self._commit = self._makeClassAttribute(github.GitCommit.GitCommit, attributes["commit"])
if "committer" in attributes: # pragma no branch
self._committer = self._makeClassAttribute(github.NamedUser.NamedUser, attributes["committer"])
if "files" in attributes: # pragma no branch
self._files = self._makeListOfClassesAttribute(github.File.File, attributes["files"])
if "html_url" in attributes: # pragma no branch
self._html_url = self._makeStringAttribute(attributes["html_url"])
if "parents" in attributes: # pragma no branch
self._parents = self._makeListOfClassesAttribute(Commit, attributes["parents"])
if "sha" in attributes: # pragma no branch
self._sha = self._makeStringAttribute(attributes["sha"])
if "stats" in attributes: # pragma no branch
self._stats = self._makeClassAttribute(github.CommitStats.CommitStats, attributes["stats"])
if "url" in attributes: # pragma no branch
self._url = self._makeStringAttribute(attributes["url"])
|
gpl-3.0
|
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] |
lin-credible/scikit-learn
|
examples/cluster/plot_kmeans_stability_low_dim_dense.py
|
338
|
4324
|
"""
============================================================
Empirical evaluation of the impact of k-means initialization
============================================================
Evaluate the ability of k-means initializations strategies to make
the algorithm convergence robust as measured by the relative standard
deviation of the inertia of the clustering (i.e. the sum of distances
to the nearest cluster center).
The first plot shows the best inertia reached for each combination
of the model (``KMeans`` or ``MiniBatchKMeans``) and the init method
(``init="random"`` or ``init="kmeans++"``) for increasing values of the
``n_init`` parameter that controls the number of initializations.
The second plot demonstrate one single run of the ``MiniBatchKMeans``
estimator using a ``init="random"`` and ``n_init=1``. This run leads to
a bad convergence (local optimum) with estimated centers stuck
between ground truth clusters.
The dataset used for evaluation is a 2D grid of isotropic Gaussian
clusters widely spaced.
"""
print(__doc__)
# Author: Olivier Grisel <olivier.grisel@ensta.org>
# License: BSD 3 clause
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from sklearn.utils import shuffle
from sklearn.utils import check_random_state
from sklearn.cluster import MiniBatchKMeans
from sklearn.cluster import KMeans
random_state = np.random.RandomState(0)
# Number of run (with randomly generated dataset) for each strategy so as
# to be able to compute an estimate of the standard deviation
n_runs = 5
# k-means models can do several random inits so as to be able to trade
# CPU time for convergence robustness
n_init_range = np.array([1, 5, 10, 15, 20])
# Datasets generation parameters
n_samples_per_center = 100
grid_size = 3
scale = 0.1
n_clusters = grid_size ** 2
def make_data(random_state, n_samples_per_center, grid_size, scale):
random_state = check_random_state(random_state)
centers = np.array([[i, j]
for i in range(grid_size)
for j in range(grid_size)])
n_clusters_true, n_features = centers.shape
noise = random_state.normal(
scale=scale, size=(n_samples_per_center, centers.shape[1]))
X = np.concatenate([c + noise for c in centers])
y = np.concatenate([[i] * n_samples_per_center
for i in range(n_clusters_true)])
return shuffle(X, y, random_state=random_state)
# Part 1: Quantitative evaluation of various init methods
fig = plt.figure()
plots = []
legends = []
cases = [
(KMeans, 'k-means++', {}),
(KMeans, 'random', {}),
(MiniBatchKMeans, 'k-means++', {'max_no_improvement': 3}),
(MiniBatchKMeans, 'random', {'max_no_improvement': 3, 'init_size': 500}),
]
for factory, init, params in cases:
print("Evaluation of %s with %s init" % (factory.__name__, init))
inertia = np.empty((len(n_init_range), n_runs))
for run_id in range(n_runs):
X, y = make_data(run_id, n_samples_per_center, grid_size, scale)
for i, n_init in enumerate(n_init_range):
km = factory(n_clusters=n_clusters, init=init, random_state=run_id,
n_init=n_init, **params).fit(X)
inertia[i, run_id] = km.inertia_
p = plt.errorbar(n_init_range, inertia.mean(axis=1), inertia.std(axis=1))
plots.append(p[0])
legends.append("%s with %s init" % (factory.__name__, init))
plt.xlabel('n_init')
plt.ylabel('inertia')
plt.legend(plots, legends)
plt.title("Mean inertia for various k-means init across %d runs" % n_runs)
# Part 2: Qualitative visual inspection of the convergence
X, y = make_data(random_state, n_samples_per_center, grid_size, scale)
km = MiniBatchKMeans(n_clusters=n_clusters, init='random', n_init=1,
random_state=random_state).fit(X)
fig = plt.figure()
for k in range(n_clusters):
my_members = km.labels_ == k
color = cm.spectral(float(k) / n_clusters, 1)
plt.plot(X[my_members, 0], X[my_members, 1], 'o', marker='.', c=color)
cluster_center = km.cluster_centers_[k]
plt.plot(cluster_center[0], cluster_center[1], 'o',
markerfacecolor=color, markeredgecolor='k', markersize=6)
plt.title("Example cluster allocation with a single random init\n"
"with MiniBatchKMeans")
plt.show()
|
bsd-3-clause
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] |
tyler6389/count_kernel_grand
|
scripts/rt-tester/rt-tester.py
|
11005
|
5307
|
#!/usr/bin/python
#
# rt-mutex tester
#
# (C) 2006 Thomas Gleixner <tglx@linutronix.de>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License version 2 as
# published by the Free Software Foundation.
#
import os
import sys
import getopt
import shutil
import string
# Globals
quiet = 0
test = 0
comments = 0
sysfsprefix = "/sys/devices/system/rttest/rttest"
statusfile = "/status"
commandfile = "/command"
# Command opcodes
cmd_opcodes = {
"schedother" : "1",
"schedfifo" : "2",
"lock" : "3",
"locknowait" : "4",
"lockint" : "5",
"lockintnowait" : "6",
"lockcont" : "7",
"unlock" : "8",
"signal" : "11",
"resetevent" : "98",
"reset" : "99",
}
test_opcodes = {
"prioeq" : ["P" , "eq" , None],
"priolt" : ["P" , "lt" , None],
"priogt" : ["P" , "gt" , None],
"nprioeq" : ["N" , "eq" , None],
"npriolt" : ["N" , "lt" , None],
"npriogt" : ["N" , "gt" , None],
"unlocked" : ["M" , "eq" , 0],
"trylock" : ["M" , "eq" , 1],
"blocked" : ["M" , "eq" , 2],
"blockedwake" : ["M" , "eq" , 3],
"locked" : ["M" , "eq" , 4],
"opcodeeq" : ["O" , "eq" , None],
"opcodelt" : ["O" , "lt" , None],
"opcodegt" : ["O" , "gt" , None],
"eventeq" : ["E" , "eq" , None],
"eventlt" : ["E" , "lt" , None],
"eventgt" : ["E" , "gt" , None],
}
# Print usage information
def usage():
print "rt-tester.py <-c -h -q -t> <testfile>"
print " -c display comments after first command"
print " -h help"
print " -q quiet mode"
print " -t test mode (syntax check)"
print " testfile: read test specification from testfile"
print " otherwise from stdin"
return
# Print progress when not in quiet mode
def progress(str):
if not quiet:
print str
# Analyse a status value
def analyse(val, top, arg):
intval = int(val)
if top[0] == "M":
intval = intval / (10 ** int(arg))
intval = intval % 10
argval = top[2]
elif top[0] == "O":
argval = int(cmd_opcodes.get(arg, arg))
else:
argval = int(arg)
# progress("%d %s %d" %(intval, top[1], argval))
if top[1] == "eq" and intval == argval:
return 1
if top[1] == "lt" and intval < argval:
return 1
if top[1] == "gt" and intval > argval:
return 1
return 0
# Parse the commandline
try:
(options, arguments) = getopt.getopt(sys.argv[1:],'chqt')
except getopt.GetoptError, ex:
usage()
sys.exit(1)
# Parse commandline options
for option, value in options:
if option == "-c":
comments = 1
elif option == "-q":
quiet = 1
elif option == "-t":
test = 1
elif option == '-h':
usage()
sys.exit(0)
# Select the input source
if arguments:
try:
fd = open(arguments[0])
except Exception,ex:
sys.stderr.write("File not found %s\n" %(arguments[0]))
sys.exit(1)
else:
fd = sys.stdin
linenr = 0
# Read the test patterns
while 1:
linenr = linenr + 1
line = fd.readline()
if not len(line):
break
line = line.strip()
parts = line.split(":")
if not parts or len(parts) < 1:
continue
if len(parts[0]) == 0:
continue
if parts[0].startswith("#"):
if comments > 1:
progress(line)
continue
if comments == 1:
comments = 2
progress(line)
cmd = parts[0].strip().lower()
opc = parts[1].strip().lower()
tid = parts[2].strip()
dat = parts[3].strip()
try:
# Test or wait for a status value
if cmd == "t" or cmd == "w":
testop = test_opcodes[opc]
fname = "%s%s%s" %(sysfsprefix, tid, statusfile)
if test:
print fname
continue
while 1:
query = 1
fsta = open(fname, 'r')
status = fsta.readline().strip()
fsta.close()
stat = status.split(",")
for s in stat:
s = s.strip()
if s.startswith(testop[0]):
# Separate status value
val = s[2:].strip()
query = analyse(val, testop, dat)
break
if query or cmd == "t":
break
progress(" " + status)
if not query:
sys.stderr.write("Test failed in line %d\n" %(linenr))
sys.exit(1)
# Issue a command to the tester
elif cmd == "c":
cmdnr = cmd_opcodes[opc]
# Build command string and sys filename
cmdstr = "%s:%s" %(cmdnr, dat)
fname = "%s%s%s" %(sysfsprefix, tid, commandfile)
if test:
print fname
continue
fcmd = open(fname, 'w')
fcmd.write(cmdstr)
fcmd.close()
except Exception,ex:
sys.stderr.write(str(ex))
sys.stderr.write("\nSyntax error in line %d\n" %(linenr))
if not test:
fd.close()
sys.exit(1)
# Normal exit pass
print "Pass"
sys.exit(0)
|
gpl-2.0
|
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Mj258/weiboapi
|
srapyDemo/envs/Lib/site-packages/twisted/spread/ui/tktree.py
|
11
|
5515
|
# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
What I want it to look like:
+- One
| \- Two
| |- Three
| |- Four
| +- Five
| | \- Six
| |- Seven
+- Eight
| \- Nine
"""
import os
from Tkinter import END, Listbox, Tk, Scrollbar, LEFT, BOTH, RIGHT, Y
class Node:
def __init__(self):
"""
Do whatever you want here.
"""
self.item=None
def getName(self):
"""
Return the name of this node in the tree.
"""
pass
def isExpandable(self):
"""
Return true if this node is expandable.
"""
return len(self.getSubNodes())>0
def getSubNodes(self):
"""
Return the sub nodes of this node.
"""
return []
def gotDoubleClick(self):
"""
Called when we are double clicked.
"""
pass
def updateMe(self):
"""
Call me when something about me changes, so that my representation
changes.
"""
if self.item:
self.item.update()
class FileNode(Node):
def __init__(self,name):
Node.__init__(self)
self.name=name
def getName(self):
return os.path.basename(self.name)
def isExpandable(self):
return os.path.isdir(self.name)
def getSubNodes(self):
names=map(lambda x,n=self.name:os.path.join(n,x),os.listdir(self.name))
return map(FileNode,names)
class TreeItem:
def __init__(self,widget,parent,node):
self.widget=widget
self.node=node
node.item=self
if self.node.isExpandable():
self.expand=0
else:
self.expand=None
self.parent=parent
if parent:
self.level=self.parent.level+1
else:
self.level=0
self.first=0 # gets set in Tree.expand()
self.subitems=[]
def __del__(self):
del self.node
del self.widget
def __repr__(self):
return "<Item for Node %s at level %s>"%(self.node.getName(),self.level)
def render(self):
"""
Override in a subclass.
"""
raise NotImplementedError
def update(self):
self.widget.update(self)
class ListboxTreeItem(TreeItem):
def render(self):
start=self.level*"| "
if self.expand==None and not self.first:
start=start+"|"
elif self.expand==0:
start=start+"L"
elif self.expand==1:
start=start+"+"
else:
start=start+"\\"
r=[start+"- "+self.node.getName()]
if self.expand:
for i in self.subitems:
r.extend(i.render())
return r
class ListboxTree:
def __init__(self,parent=None,**options):
self.box=apply(Listbox,[parent],options)
self.box.bind("<Double-1>",self.flip)
self.roots=[]
self.items=[]
def pack(self,*args,**kw):
"""
for packing.
"""
apply(self.box.pack,args,kw)
def grid(self,*args,**kw):
"""
for gridding.
"""
apply(self.box.grid,args,kw)
def yview(self,*args,**kw):
"""
for scrolling.
"""
apply(self.box.yview,args,kw)
def addRoot(self,node):
r=ListboxTreeItem(self,None,node)
self.roots.append(r)
self.items.append(r)
self.box.insert(END,r.render()[0])
return r
def curselection(self):
c=self.box.curselection()
if not c: return
return self.items[int(c[0])]
def flip(self,*foo):
if not self.box.curselection(): return
item=self.items[int(self.box.curselection()[0])]
if item.expand==None: return
if not item.expand:
self.expand(item)
else:
self.close(item)
item.node.gotDoubleClick()
def expand(self,item):
if item.expand or item.expand==None: return
item.expand=1
item.subitems=map(lambda x,i=item,s=self:ListboxTreeItem(s,i,x),item.node.getSubNodes())
if item.subitems:
item.subitems[0].first=1
i=self.items.index(item)
self.items,after=self.items[:i+1],self.items[i+1:]
self.items=self.items+item.subitems+after
c=self.items.index(item)
self.box.delete(c)
r=item.render()
for i in r:
self.box.insert(c,i)
c=c+1
def close(self,item):
if not item.expand: return
item.expand=0
length=len(item.subitems)
for i in item.subitems:
self.close(i)
c=self.items.index(item)
del self.items[c+1:c+1+length]
for i in range(length+1):
self.box.delete(c)
self.box.insert(c,item.render()[0])
def remove(self,item):
if item.expand:
self.close(item)
c=self.items.index(item)
del self.items[c]
if item.parent:
item.parent.subitems.remove(item)
self.box.delete(c)
def update(self,item):
if item.expand==None:
c=self.items.index(item)
self.box.delete(c)
self.box.insert(c,item.render()[0])
elif item.expand:
self.close(item)
self.expand(item)
if __name__=="__main__":
tk=Tk()
s=Scrollbar()
t=ListboxTree(tk,yscrollcommand=s.set)
t.pack(side=LEFT,fill=BOTH)
s.config(command=t.yview)
s.pack(side=RIGHT,fill=Y)
t.addRoot(FileNode("C:/"))
#mainloop()
|
mit
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] |
resmo/cloudstack
|
scripts/vm/hypervisor/kvm/test_patchviasocket.py
|
4
|
4640
|
#!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import patchviasocket
import getpass
import os
import socket
import tempfile
import time
import threading
import unittest
KEY_DATA = "I luv\nCloudStack\n"
CMD_DATA = "/run/this-for-me --please=TRUE! very%quickly"
NON_EXISTING_FILE = "must-not-exist"
def write_key_file():
_, tmpfile = tempfile.mkstemp(".sck")
with open(tmpfile, "w") as f:
f.write(KEY_DATA)
return tmpfile
class SocketThread(threading.Thread):
def __init__(self):
super(SocketThread, self).__init__()
self._data = ""
self._folder = tempfile.mkdtemp(".sck")
self._file = os.path.join(self._folder, "socket")
self._ready = False
def data(self):
return self._data
def file(self):
return self._file
def wait_until_ready(self):
while not self._ready:
time.sleep(0.050)
def run(self):
TIMEOUT = 0.314 # Very short time for tests that don't write to socket.
MAX_SIZE = 10 * 1024
s = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
try:
s.bind(self._file)
s.listen(1)
s.settimeout(TIMEOUT)
try:
self._ready = True
client, address = s.accept()
self._data = client.recv(MAX_SIZE)
client.close()
except socket.timeout:
pass
finally:
s.close()
os.remove(self._file)
os.rmdir(self._folder)
class TestPatchViaSocket(unittest.TestCase):
def setUp(self):
self._key_file = write_key_file()
self._unreadable = write_key_file()
os.chmod(self._unreadable, 0)
self.assertFalse(os.path.exists(NON_EXISTING_FILE))
self.assertNotEqual("root", getpass.getuser(), "must be non-root user (to test access denied errors)")
def tearDown(self):
os.remove(self._key_file)
os.remove(self._unreadable)
def test_write_to_socket(self):
reader = SocketThread()
reader.start()
reader.wait_until_ready()
self.assertEquals(0, patchviasocket.send_to_socket(reader.file(), self._key_file, CMD_DATA))
reader.join()
data = reader.data()
self.assertIn(KEY_DATA, data)
self.assertIn(CMD_DATA.replace("%", " "), data)
self.assertNotIn("LUV", data)
self.assertNotIn("very%quickly", data) # Testing substitution
def test_host_key_error(self):
reader = SocketThread()
reader.start()
reader.wait_until_ready()
self.assertEquals(1, patchviasocket.send_to_socket(reader.file(), NON_EXISTING_FILE, CMD_DATA))
reader.join() # timeout
def test_host_key_access_denied(self):
reader = SocketThread()
reader.start()
reader.wait_until_ready()
self.assertEquals(1, patchviasocket.send_to_socket(reader.file(), self._unreadable, CMD_DATA))
reader.join() # timeout
def test_nonexistant_socket_error(self):
reader = SocketThread()
reader.start()
reader.wait_until_ready()
self.assertEquals(1, patchviasocket.send_to_socket(NON_EXISTING_FILE, self._key_file, CMD_DATA))
reader.join() # timeout
def test_invalid_socket_error(self):
reader = SocketThread()
reader.start()
reader.wait_until_ready()
self.assertEquals(1, patchviasocket.send_to_socket(self._key_file, self._key_file, CMD_DATA))
reader.join() # timeout
def test_access_denied_socket_error(self):
reader = SocketThread()
reader.start()
reader.wait_until_ready()
self.assertEquals(1, patchviasocket.send_to_socket(self._unreadable, self._key_file, CMD_DATA))
reader.join() # timeout
if __name__ == '__main__':
unittest.main()
|
apache-2.0
|
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HackerEcology/SuggestU
|
suggestu/scrapers/views.py
|
1
|
1827
|
from django.template import RequestContext
from django.core.context_processors import csrf
from django.shortcuts import render_to_response
from django.http import Http404, HttpResponse, HttpResponseRedirect
import json
from urllib import urlopen
from subprocess import call
def test(request):
c = {}
return render_to_response('test.html', c)
def list_spiders(request):
response = urlopen("http://127.0.0.1:6800/listspiders.json?project=default")
return HttpResponse(response.read(), content_type="application/json")
def list_jobs(request):
response = urlopen("http://127.0.0.1:6800/listjobs.json?project=default")
return HttpResponse(response.read(), content_type="application/json")
def list_items(request, spider, dump):
BASE = "http://127.0.0.1:6800/items/default"
if spider == '':
url = BASE
else:
print "spider: ", spider
print "dump: ", dump
url = BASE + '/' + spider + '/' + dump
print "url: ", url
response = urlopen(url)
return HttpResponse(response.read())
def deploy(request, spider):
url = "curl http://127.0.0.1:6800/schedule.json -d project=default -d spider=%s" % (spider)
try:
call(url.split())
return HttpResponse("Done!")
except:
return HttpResponse("Failed!")
def render(request, spider, job):
url = "http://127.0.0.1:6800/items/default/%s/%s.jl" % (spider, job)
response = urlopen(url).read()
if "404 - No Such Resource" in response:
return HttpResponse(response)
else:
response = response.split('\n')
try:
while True:
response.remove('')
except:
pass
response = [json.loads(x) for x in response]
return HttpResponse(json.dumps(response), content_type="application/json")
|
gpl-3.0
|
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] |
subailong/ns3-wireless-planning.ns-3
|
bindings/python/apidefs/gcc-LP64/ns3_module_radvd.py
|
8
|
21115
|
from pybindgen import Module, FileCodeSink, param, retval, cppclass, typehandlers
def register_types(module):
root_module = module.get_root()
## simple-ref-count.h: ns3::SimpleRefCount<ns3::RadvdInterface, ns3::empty, ns3::DefaultDeleter<ns3::RadvdInterface> > [class]
module.add_class('SimpleRefCount', automatic_type_narrowing=True, template_parameters=['ns3::RadvdInterface', 'ns3::empty', 'ns3::DefaultDeleter<ns3::RadvdInterface>'], parent=root_module['ns3::empty'], memory_policy=cppclass.ReferenceCountingMethodsPolicy(incref_method='Ref', decref_method='Unref', peekref_method='GetReferenceCount'))
## simple-ref-count.h: ns3::SimpleRefCount<ns3::RadvdPrefix, ns3::empty, ns3::DefaultDeleter<ns3::RadvdPrefix> > [class]
module.add_class('SimpleRefCount', automatic_type_narrowing=True, template_parameters=['ns3::RadvdPrefix', 'ns3::empty', 'ns3::DefaultDeleter<ns3::RadvdPrefix>'], parent=root_module['ns3::empty'], memory_policy=cppclass.ReferenceCountingMethodsPolicy(incref_method='Ref', decref_method='Unref', peekref_method='GetReferenceCount'))
## radvd.h: ns3::Radvd [class]
module.add_class('Radvd', parent=root_module['ns3::Application'])
## radvd-interface.h: ns3::RadvdInterface [class]
module.add_class('RadvdInterface', parent=root_module['ns3::SimpleRefCount< ns3::RadvdInterface, ns3::empty, ns3::DefaultDeleter<ns3::RadvdInterface> >'])
## radvd-prefix.h: ns3::RadvdPrefix [class]
module.add_class('RadvdPrefix', parent=root_module['ns3::SimpleRefCount< ns3::RadvdPrefix, ns3::empty, ns3::DefaultDeleter<ns3::RadvdPrefix> >'])
## Register a nested module for the namespace Config
nested_module = module.add_cpp_namespace('Config')
register_types_ns3_Config(nested_module)
## Register a nested module for the namespace TimeStepPrecision
nested_module = module.add_cpp_namespace('TimeStepPrecision')
register_types_ns3_TimeStepPrecision(nested_module)
## Register a nested module for the namespace addressUtils
nested_module = module.add_cpp_namespace('addressUtils')
register_types_ns3_addressUtils(nested_module)
## Register a nested module for the namespace aodv
nested_module = module.add_cpp_namespace('aodv')
register_types_ns3_aodv(nested_module)
## Register a nested module for the namespace dot11s
nested_module = module.add_cpp_namespace('dot11s')
register_types_ns3_dot11s(nested_module)
## Register a nested module for the namespace flame
nested_module = module.add_cpp_namespace('flame')
register_types_ns3_flame(nested_module)
## Register a nested module for the namespace internal
nested_module = module.add_cpp_namespace('internal')
register_types_ns3_internal(nested_module)
## Register a nested module for the namespace olsr
nested_module = module.add_cpp_namespace('olsr')
register_types_ns3_olsr(nested_module)
def register_types_ns3_Config(module):
root_module = module.get_root()
def register_types_ns3_TimeStepPrecision(module):
root_module = module.get_root()
def register_types_ns3_addressUtils(module):
root_module = module.get_root()
def register_types_ns3_aodv(module):
root_module = module.get_root()
def register_types_ns3_dot11s(module):
root_module = module.get_root()
def register_types_ns3_flame(module):
root_module = module.get_root()
def register_types_ns3_internal(module):
root_module = module.get_root()
def register_types_ns3_olsr(module):
root_module = module.get_root()
def register_methods(root_module):
register_Ns3Radvd_methods(root_module, root_module['ns3::Radvd'])
register_Ns3RadvdInterface_methods(root_module, root_module['ns3::RadvdInterface'])
register_Ns3RadvdPrefix_methods(root_module, root_module['ns3::RadvdPrefix'])
return
def register_Ns3Radvd_methods(root_module, cls):
## radvd.h: ns3::Radvd::Radvd(ns3::Radvd const & arg0) [copy constructor]
cls.add_constructor([param('ns3::Radvd const &', 'arg0')])
## radvd.h: ns3::Radvd::Radvd() [constructor]
cls.add_constructor([])
## radvd.h: void ns3::Radvd::AddConfiguration(ns3::Ptr<ns3::RadvdInterface> routerInterface) [member function]
cls.add_method('AddConfiguration',
'void',
[param('ns3::Ptr< ns3::RadvdInterface >', 'routerInterface')])
## radvd.h: static ns3::TypeId ns3::Radvd::GetTypeId() [member function]
cls.add_method('GetTypeId',
'ns3::TypeId',
[],
is_static=True)
## radvd.h: ns3::Radvd::MAX_RA_DELAY_TIME [variable]
cls.add_static_attribute('MAX_RA_DELAY_TIME', 'uint32_t const', is_const=True)
## radvd.h: void ns3::Radvd::DoDispose() [member function]
cls.add_method('DoDispose',
'void',
[],
visibility='protected', is_virtual=True)
## radvd.h: void ns3::Radvd::StartApplication() [member function]
cls.add_method('StartApplication',
'void',
[],
visibility='private', is_virtual=True)
## radvd.h: void ns3::Radvd::StopApplication() [member function]
cls.add_method('StopApplication',
'void',
[],
visibility='private', is_virtual=True)
return
def register_Ns3RadvdInterface_methods(root_module, cls):
## radvd-interface.h: ns3::RadvdInterface::RadvdInterface(ns3::RadvdInterface const & arg0) [copy constructor]
cls.add_constructor([param('ns3::RadvdInterface const &', 'arg0')])
## radvd-interface.h: ns3::RadvdInterface::RadvdInterface(uint32_t interface) [constructor]
cls.add_constructor([param('uint32_t', 'interface')])
## radvd-interface.h: ns3::RadvdInterface::RadvdInterface(uint32_t interface, uint32_t maxRtrAdvInterval, uint32_t minRtrAdvInterval) [constructor]
cls.add_constructor([param('uint32_t', 'interface'), param('uint32_t', 'maxRtrAdvInterval'), param('uint32_t', 'minRtrAdvInterval')])
## radvd-interface.h: void ns3::RadvdInterface::AddPrefix(ns3::Ptr<ns3::RadvdPrefix> routerPrefix) [member function]
cls.add_method('AddPrefix',
'void',
[param('ns3::Ptr< ns3::RadvdPrefix >', 'routerPrefix')])
## radvd-interface.h: uint8_t ns3::RadvdInterface::GetCurHopLimit() const [member function]
cls.add_method('GetCurHopLimit',
'uint8_t',
[],
is_const=True)
## radvd-interface.h: uint32_t ns3::RadvdInterface::GetDefaultLifeTime() const [member function]
cls.add_method('GetDefaultLifeTime',
'uint32_t',
[],
is_const=True)
## radvd-interface.h: uint8_t ns3::RadvdInterface::GetDefaultPreference() const [member function]
cls.add_method('GetDefaultPreference',
'uint8_t',
[],
is_const=True)
## radvd-interface.h: uint32_t ns3::RadvdInterface::GetHomeAgentLifeTime() const [member function]
cls.add_method('GetHomeAgentLifeTime',
'uint32_t',
[],
is_const=True)
## radvd-interface.h: uint32_t ns3::RadvdInterface::GetHomeAgentPreference() const [member function]
cls.add_method('GetHomeAgentPreference',
'uint32_t',
[],
is_const=True)
## radvd-interface.h: uint32_t ns3::RadvdInterface::GetInterface() const [member function]
cls.add_method('GetInterface',
'uint32_t',
[],
is_const=True)
## radvd-interface.h: uint32_t ns3::RadvdInterface::GetLinkMtu() const [member function]
cls.add_method('GetLinkMtu',
'uint32_t',
[],
is_const=True)
## radvd-interface.h: uint32_t ns3::RadvdInterface::GetMaxRtrAdvInterval() const [member function]
cls.add_method('GetMaxRtrAdvInterval',
'uint32_t',
[],
is_const=True)
## radvd-interface.h: uint32_t ns3::RadvdInterface::GetMinDelayBetweenRAs() const [member function]
cls.add_method('GetMinDelayBetweenRAs',
'uint32_t',
[],
is_const=True)
## radvd-interface.h: uint32_t ns3::RadvdInterface::GetMinRtrAdvInterval() const [member function]
cls.add_method('GetMinRtrAdvInterval',
'uint32_t',
[],
is_const=True)
## radvd-interface.h: std::list<ns3::Ptr<ns3::RadvdPrefix>, std::allocator<ns3::Ptr<ns3::RadvdPrefix> > > ns3::RadvdInterface::GetPrefixes() const [member function]
cls.add_method('GetPrefixes',
'std::list< ns3::Ptr< ns3::RadvdPrefix > >',
[],
is_const=True)
## radvd-interface.h: uint32_t ns3::RadvdInterface::GetReachableTime() const [member function]
cls.add_method('GetReachableTime',
'uint32_t',
[],
is_const=True)
## radvd-interface.h: uint32_t ns3::RadvdInterface::GetRetransTimer() const [member function]
cls.add_method('GetRetransTimer',
'uint32_t',
[],
is_const=True)
## radvd-interface.h: bool ns3::RadvdInterface::IsHomeAgentFlag() const [member function]
cls.add_method('IsHomeAgentFlag',
'bool',
[],
is_const=True)
## radvd-interface.h: bool ns3::RadvdInterface::IsHomeAgentInfo() const [member function]
cls.add_method('IsHomeAgentInfo',
'bool',
[],
is_const=True)
## radvd-interface.h: bool ns3::RadvdInterface::IsIntervalOpt() const [member function]
cls.add_method('IsIntervalOpt',
'bool',
[],
is_const=True)
## radvd-interface.h: bool ns3::RadvdInterface::IsManagedFlag() const [member function]
cls.add_method('IsManagedFlag',
'bool',
[],
is_const=True)
## radvd-interface.h: bool ns3::RadvdInterface::IsMobRtrSupportFlag() const [member function]
cls.add_method('IsMobRtrSupportFlag',
'bool',
[],
is_const=True)
## radvd-interface.h: bool ns3::RadvdInterface::IsOtherConfigFlag() const [member function]
cls.add_method('IsOtherConfigFlag',
'bool',
[],
is_const=True)
## radvd-interface.h: bool ns3::RadvdInterface::IsSendAdvert() const [member function]
cls.add_method('IsSendAdvert',
'bool',
[],
is_const=True)
## radvd-interface.h: bool ns3::RadvdInterface::IsSourceLLAddress() const [member function]
cls.add_method('IsSourceLLAddress',
'bool',
[],
is_const=True)
## radvd-interface.h: void ns3::RadvdInterface::SetCurHopLimit(uint8_t curHopLimit) [member function]
cls.add_method('SetCurHopLimit',
'void',
[param('uint8_t', 'curHopLimit')])
## radvd-interface.h: void ns3::RadvdInterface::SetDefaultLifeTime(uint32_t defaultLifeTime) [member function]
cls.add_method('SetDefaultLifeTime',
'void',
[param('uint32_t', 'defaultLifeTime')])
## radvd-interface.h: void ns3::RadvdInterface::SetDefaultPreference(uint8_t defaultPreference) [member function]
cls.add_method('SetDefaultPreference',
'void',
[param('uint8_t', 'defaultPreference')])
## radvd-interface.h: void ns3::RadvdInterface::SetHomeAgentFlag(bool homeAgentFlag) [member function]
cls.add_method('SetHomeAgentFlag',
'void',
[param('bool', 'homeAgentFlag')])
## radvd-interface.h: void ns3::RadvdInterface::SetHomeAgentInfo(bool homeAgentFlag) [member function]
cls.add_method('SetHomeAgentInfo',
'void',
[param('bool', 'homeAgentFlag')])
## radvd-interface.h: void ns3::RadvdInterface::SetHomeAgentLifeTime(uint32_t homeAgentLifeTime) [member function]
cls.add_method('SetHomeAgentLifeTime',
'void',
[param('uint32_t', 'homeAgentLifeTime')])
## radvd-interface.h: void ns3::RadvdInterface::SetHomeAgentPreference(uint32_t homeAgentPreference) [member function]
cls.add_method('SetHomeAgentPreference',
'void',
[param('uint32_t', 'homeAgentPreference')])
## radvd-interface.h: void ns3::RadvdInterface::SetIntervalOpt(bool intervalOpt) [member function]
cls.add_method('SetIntervalOpt',
'void',
[param('bool', 'intervalOpt')])
## radvd-interface.h: void ns3::RadvdInterface::SetLinkMtu(uint32_t linkMtu) [member function]
cls.add_method('SetLinkMtu',
'void',
[param('uint32_t', 'linkMtu')])
## radvd-interface.h: void ns3::RadvdInterface::SetManagedFlag(bool managedFlag) [member function]
cls.add_method('SetManagedFlag',
'void',
[param('bool', 'managedFlag')])
## radvd-interface.h: void ns3::RadvdInterface::SetMaxRtrAdvInterval(uint32_t maxRtrAdvInterval) [member function]
cls.add_method('SetMaxRtrAdvInterval',
'void',
[param('uint32_t', 'maxRtrAdvInterval')])
## radvd-interface.h: void ns3::RadvdInterface::SetMinDelayBetweenRAs(uint32_t minDelayBetweenRAs) [member function]
cls.add_method('SetMinDelayBetweenRAs',
'void',
[param('uint32_t', 'minDelayBetweenRAs')])
## radvd-interface.h: void ns3::RadvdInterface::SetMinRtrAdvInterval(uint32_t minRtrAdvInterval) [member function]
cls.add_method('SetMinRtrAdvInterval',
'void',
[param('uint32_t', 'minRtrAdvInterval')])
## radvd-interface.h: void ns3::RadvdInterface::SetMobRtrSupportFlag(bool mobRtrSupportFlag) [member function]
cls.add_method('SetMobRtrSupportFlag',
'void',
[param('bool', 'mobRtrSupportFlag')])
## radvd-interface.h: void ns3::RadvdInterface::SetOtherConfigFlag(bool otherConfigFlag) [member function]
cls.add_method('SetOtherConfigFlag',
'void',
[param('bool', 'otherConfigFlag')])
## radvd-interface.h: void ns3::RadvdInterface::SetReachableTime(uint32_t reachableTime) [member function]
cls.add_method('SetReachableTime',
'void',
[param('uint32_t', 'reachableTime')])
## radvd-interface.h: void ns3::RadvdInterface::SetRetransTimer(uint32_t retransTimer) [member function]
cls.add_method('SetRetransTimer',
'void',
[param('uint32_t', 'retransTimer')])
## radvd-interface.h: void ns3::RadvdInterface::SetSendAdvert(bool sendAdvert) [member function]
cls.add_method('SetSendAdvert',
'void',
[param('bool', 'sendAdvert')])
## radvd-interface.h: void ns3::RadvdInterface::SetSourceLLAddress(bool sourceLLAddress) [member function]
cls.add_method('SetSourceLLAddress',
'void',
[param('bool', 'sourceLLAddress')])
return
def register_Ns3RadvdPrefix_methods(root_module, cls):
## radvd-prefix.h: ns3::RadvdPrefix::RadvdPrefix(ns3::RadvdPrefix const & arg0) [copy constructor]
cls.add_constructor([param('ns3::RadvdPrefix const &', 'arg0')])
## radvd-prefix.h: ns3::RadvdPrefix::RadvdPrefix(ns3::Ipv6Address network, uint8_t prefixLength, uint32_t preferredLifeTime=604800, uint32_t validLifeTime=2592000, bool onLinkFlag=true, bool autonomousFlag=true, bool routerAddrFlag=false) [constructor]
cls.add_constructor([param('ns3::Ipv6Address', 'network'), param('uint8_t', 'prefixLength'), param('uint32_t', 'preferredLifeTime', default_value='604800'), param('uint32_t', 'validLifeTime', default_value='2592000'), param('bool', 'onLinkFlag', default_value='true'), param('bool', 'autonomousFlag', default_value='true'), param('bool', 'routerAddrFlag', default_value='false')])
## radvd-prefix.h: ns3::Ipv6Address ns3::RadvdPrefix::GetNetwork() const [member function]
cls.add_method('GetNetwork',
'ns3::Ipv6Address',
[],
is_const=True)
## radvd-prefix.h: uint32_t ns3::RadvdPrefix::GetPreferredLifeTime() const [member function]
cls.add_method('GetPreferredLifeTime',
'uint32_t',
[],
is_const=True)
## radvd-prefix.h: uint8_t ns3::RadvdPrefix::GetPrefixLength() const [member function]
cls.add_method('GetPrefixLength',
'uint8_t',
[],
is_const=True)
## radvd-prefix.h: uint32_t ns3::RadvdPrefix::GetValidLifeTime() const [member function]
cls.add_method('GetValidLifeTime',
'uint32_t',
[],
is_const=True)
## radvd-prefix.h: bool ns3::RadvdPrefix::IsAutonomousFlag() const [member function]
cls.add_method('IsAutonomousFlag',
'bool',
[],
is_const=True)
## radvd-prefix.h: bool ns3::RadvdPrefix::IsOnLinkFlag() const [member function]
cls.add_method('IsOnLinkFlag',
'bool',
[],
is_const=True)
## radvd-prefix.h: bool ns3::RadvdPrefix::IsRouterAddrFlag() const [member function]
cls.add_method('IsRouterAddrFlag',
'bool',
[],
is_const=True)
## radvd-prefix.h: void ns3::RadvdPrefix::SetAutonomousFlag(bool autonomousFlag) [member function]
cls.add_method('SetAutonomousFlag',
'void',
[param('bool', 'autonomousFlag')])
## radvd-prefix.h: void ns3::RadvdPrefix::SetNetwork(ns3::Ipv6Address network) [member function]
cls.add_method('SetNetwork',
'void',
[param('ns3::Ipv6Address', 'network')])
## radvd-prefix.h: void ns3::RadvdPrefix::SetOnLinkFlag(bool onLinkFlag) [member function]
cls.add_method('SetOnLinkFlag',
'void',
[param('bool', 'onLinkFlag')])
## radvd-prefix.h: void ns3::RadvdPrefix::SetPreferredLifeTime(uint32_t preferredLifeTime) [member function]
cls.add_method('SetPreferredLifeTime',
'void',
[param('uint32_t', 'preferredLifeTime')])
## radvd-prefix.h: void ns3::RadvdPrefix::SetPrefixLength(uint8_t prefixLength) [member function]
cls.add_method('SetPrefixLength',
'void',
[param('uint8_t', 'prefixLength')])
## radvd-prefix.h: void ns3::RadvdPrefix::SetRouterAddrFlag(bool routerAddrFlag) [member function]
cls.add_method('SetRouterAddrFlag',
'void',
[param('bool', 'routerAddrFlag')])
## radvd-prefix.h: void ns3::RadvdPrefix::SetValidLifeTime(uint32_t validLifeTime) [member function]
cls.add_method('SetValidLifeTime',
'void',
[param('uint32_t', 'validLifeTime')])
return
def register_functions(root_module):
module = root_module
register_functions_ns3_Config(module.get_submodule('Config'), root_module)
register_functions_ns3_TimeStepPrecision(module.get_submodule('TimeStepPrecision'), root_module)
register_functions_ns3_addressUtils(module.get_submodule('addressUtils'), root_module)
register_functions_ns3_aodv(module.get_submodule('aodv'), root_module)
register_functions_ns3_dot11s(module.get_submodule('dot11s'), root_module)
register_functions_ns3_flame(module.get_submodule('flame'), root_module)
register_functions_ns3_internal(module.get_submodule('internal'), root_module)
register_functions_ns3_olsr(module.get_submodule('olsr'), root_module)
return
def register_functions_ns3_Config(module, root_module):
return
def register_functions_ns3_TimeStepPrecision(module, root_module):
return
def register_functions_ns3_addressUtils(module, root_module):
return
def register_functions_ns3_aodv(module, root_module):
return
def register_functions_ns3_dot11s(module, root_module):
return
def register_functions_ns3_flame(module, root_module):
return
def register_functions_ns3_internal(module, root_module):
return
def register_functions_ns3_olsr(module, root_module):
return
|
gpl-2.0
|
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summerlight/anlp
|
src/dataset.py
|
1
|
1423
|
import glob
import json
from data_gen import segmentation
def iter_segment(doc):
text = doc['text']
for segment in doc['metadata']:
yield segment['lang'], text[segment['begin']:segment['end']]
def iter_sentences(doc):
for lang, segment in iter_segment(doc):
for st in segmentation.by_sentences(segment):
yield lang, st
def iter_words(doc):
for lang, segment in iter_segment(doc):
for word in segmentation.by_words(segment):
yield lang, word
def iter_words_from_st(st):
for lang, segment in iter_segment(doc):
for word in segmentation.by_words(st):
yield lang, word
def iter_words_by_st(doc):
for lang, segment in iter_segment(doc):
for st in segmentation.by_sentences(segment):
yield lang, (word for word in segmentation.by_words(st))
def iter_chars(doc):
for lang, segment in iter_segment(doc):
for ch in segment:
yield lang, ch
def tagged_words(doc):
for lang, word in iter_words(doc):
if word.isspace():
continue
if is_common(word):
yield 'zz', word
else:
yield lang, word
def read_dataset(name):
for file_path in sorted(glob.glob('../data/{}/*.txt'.format(name))):
with open(file_path, 'rt') as f:
val = json.load(f)
val['file_path'] = file_path
yield val
|
apache-2.0
|
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WarrenWeckesser/scipy
|
scipy/linalg/decomp_schur.py
|
17
|
10216
|
"""Schur decomposition functions."""
import numpy
from numpy import asarray_chkfinite, single, asarray, array
from numpy.linalg import norm
# Local imports.
from .misc import LinAlgError, _datacopied
from .lapack import get_lapack_funcs
from .decomp import eigvals
__all__ = ['schur', 'rsf2csf']
_double_precision = ['i', 'l', 'd']
def schur(a, output='real', lwork=None, overwrite_a=False, sort=None,
check_finite=True):
"""
Compute Schur decomposition of a matrix.
The Schur decomposition is::
A = Z T Z^H
where Z is unitary and T is either upper-triangular, or for real
Schur decomposition (output='real'), quasi-upper triangular. In
the quasi-triangular form, 2x2 blocks describing complex-valued
eigenvalue pairs may extrude from the diagonal.
Parameters
----------
a : (M, M) array_like
Matrix to decompose
output : {'real', 'complex'}, optional
Construct the real or complex Schur decomposition (for real matrices).
lwork : int, optional
Work array size. If None or -1, it is automatically computed.
overwrite_a : bool, optional
Whether to overwrite data in a (may improve performance).
sort : {None, callable, 'lhp', 'rhp', 'iuc', 'ouc'}, optional
Specifies whether the upper eigenvalues should be sorted. A callable
may be passed that, given a eigenvalue, returns a boolean denoting
whether the eigenvalue should be sorted to the top-left (True).
Alternatively, string parameters may be used::
'lhp' Left-hand plane (x.real < 0.0)
'rhp' Right-hand plane (x.real > 0.0)
'iuc' Inside the unit circle (x*x.conjugate() <= 1.0)
'ouc' Outside the unit circle (x*x.conjugate() > 1.0)
Defaults to None (no sorting).
check_finite : bool, optional
Whether to check that the input matrix contains only finite numbers.
Disabling may give a performance gain, but may result in problems
(crashes, non-termination) if the inputs do contain infinities or NaNs.
Returns
-------
T : (M, M) ndarray
Schur form of A. It is real-valued for the real Schur decomposition.
Z : (M, M) ndarray
An unitary Schur transformation matrix for A.
It is real-valued for the real Schur decomposition.
sdim : int
If and only if sorting was requested, a third return value will
contain the number of eigenvalues satisfying the sort condition.
Raises
------
LinAlgError
Error raised under three conditions:
1. The algorithm failed due to a failure of the QR algorithm to
compute all eigenvalues.
2. If eigenvalue sorting was requested, the eigenvalues could not be
reordered due to a failure to separate eigenvalues, usually because
of poor conditioning.
3. If eigenvalue sorting was requested, roundoff errors caused the
leading eigenvalues to no longer satisfy the sorting condition.
See also
--------
rsf2csf : Convert real Schur form to complex Schur form
Examples
--------
>>> from scipy.linalg import schur, eigvals
>>> A = np.array([[0, 2, 2], [0, 1, 2], [1, 0, 1]])
>>> T, Z = schur(A)
>>> T
array([[ 2.65896708, 1.42440458, -1.92933439],
[ 0. , -0.32948354, -0.49063704],
[ 0. , 1.31178921, -0.32948354]])
>>> Z
array([[0.72711591, -0.60156188, 0.33079564],
[0.52839428, 0.79801892, 0.28976765],
[0.43829436, 0.03590414, -0.89811411]])
>>> T2, Z2 = schur(A, output='complex')
>>> T2
array([[ 2.65896708, -1.22839825+1.32378589j, 0.42590089+1.51937378j],
[ 0. , -0.32948354+0.80225456j, -0.59877807+0.56192146j],
[ 0. , 0. , -0.32948354-0.80225456j]])
>>> eigvals(T2)
array([2.65896708, -0.32948354+0.80225456j, -0.32948354-0.80225456j])
An arbitrary custom eig-sorting condition, having positive imaginary part,
which is satisfied by only one eigenvalue
>>> T3, Z3, sdim = schur(A, output='complex', sort=lambda x: x.imag > 0)
>>> sdim
1
"""
if output not in ['real', 'complex', 'r', 'c']:
raise ValueError("argument must be 'real', or 'complex'")
if check_finite:
a1 = asarray_chkfinite(a)
else:
a1 = asarray(a)
if len(a1.shape) != 2 or (a1.shape[0] != a1.shape[1]):
raise ValueError('expected square matrix')
typ = a1.dtype.char
if output in ['complex', 'c'] and typ not in ['F', 'D']:
if typ in _double_precision:
a1 = a1.astype('D')
typ = 'D'
else:
a1 = a1.astype('F')
typ = 'F'
overwrite_a = overwrite_a or (_datacopied(a1, a))
gees, = get_lapack_funcs(('gees',), (a1,))
if lwork is None or lwork == -1:
# get optimal work array
result = gees(lambda x: None, a1, lwork=-1)
lwork = result[-2][0].real.astype(numpy.int_)
if sort is None:
sort_t = 0
sfunction = lambda x: None
else:
sort_t = 1
if callable(sort):
sfunction = sort
elif sort == 'lhp':
sfunction = lambda x: (x.real < 0.0)
elif sort == 'rhp':
sfunction = lambda x: (x.real >= 0.0)
elif sort == 'iuc':
sfunction = lambda x: (abs(x) <= 1.0)
elif sort == 'ouc':
sfunction = lambda x: (abs(x) > 1.0)
else:
raise ValueError("'sort' parameter must either be 'None', or a "
"callable, or one of ('lhp','rhp','iuc','ouc')")
result = gees(sfunction, a1, lwork=lwork, overwrite_a=overwrite_a,
sort_t=sort_t)
info = result[-1]
if info < 0:
raise ValueError('illegal value in {}-th argument of internal gees'
''.format(-info))
elif info == a1.shape[0] + 1:
raise LinAlgError('Eigenvalues could not be separated for reordering.')
elif info == a1.shape[0] + 2:
raise LinAlgError('Leading eigenvalues do not satisfy sort condition.')
elif info > 0:
raise LinAlgError("Schur form not found. Possibly ill-conditioned.")
if sort_t == 0:
return result[0], result[-3]
else:
return result[0], result[-3], result[1]
eps = numpy.finfo(float).eps
feps = numpy.finfo(single).eps
_array_kind = {'b': 0, 'h': 0, 'B': 0, 'i': 0, 'l': 0,
'f': 0, 'd': 0, 'F': 1, 'D': 1}
_array_precision = {'i': 1, 'l': 1, 'f': 0, 'd': 1, 'F': 0, 'D': 1}
_array_type = [['f', 'd'], ['F', 'D']]
def _commonType(*arrays):
kind = 0
precision = 0
for a in arrays:
t = a.dtype.char
kind = max(kind, _array_kind[t])
precision = max(precision, _array_precision[t])
return _array_type[kind][precision]
def _castCopy(type, *arrays):
cast_arrays = ()
for a in arrays:
if a.dtype.char == type:
cast_arrays = cast_arrays + (a.copy(),)
else:
cast_arrays = cast_arrays + (a.astype(type),)
if len(cast_arrays) == 1:
return cast_arrays[0]
else:
return cast_arrays
def rsf2csf(T, Z, check_finite=True):
"""
Convert real Schur form to complex Schur form.
Convert a quasi-diagonal real-valued Schur form to the upper-triangular
complex-valued Schur form.
Parameters
----------
T : (M, M) array_like
Real Schur form of the original array
Z : (M, M) array_like
Schur transformation matrix
check_finite : bool, optional
Whether to check that the input arrays contain only finite numbers.
Disabling may give a performance gain, but may result in problems
(crashes, non-termination) if the inputs do contain infinities or NaNs.
Returns
-------
T : (M, M) ndarray
Complex Schur form of the original array
Z : (M, M) ndarray
Schur transformation matrix corresponding to the complex form
See Also
--------
schur : Schur decomposition of an array
Examples
--------
>>> from scipy.linalg import schur, rsf2csf
>>> A = np.array([[0, 2, 2], [0, 1, 2], [1, 0, 1]])
>>> T, Z = schur(A)
>>> T
array([[ 2.65896708, 1.42440458, -1.92933439],
[ 0. , -0.32948354, -0.49063704],
[ 0. , 1.31178921, -0.32948354]])
>>> Z
array([[0.72711591, -0.60156188, 0.33079564],
[0.52839428, 0.79801892, 0.28976765],
[0.43829436, 0.03590414, -0.89811411]])
>>> T2 , Z2 = rsf2csf(T, Z)
>>> T2
array([[2.65896708+0.j, -1.64592781+0.743164187j, -1.21516887+1.00660462j],
[0.+0.j , -0.32948354+8.02254558e-01j, -0.82115218-2.77555756e-17j],
[0.+0.j , 0.+0.j, -0.32948354-0.802254558j]])
>>> Z2
array([[0.72711591+0.j, 0.28220393-0.31385693j, 0.51319638-0.17258824j],
[0.52839428+0.j, 0.24720268+0.41635578j, -0.68079517-0.15118243j],
[0.43829436+0.j, -0.76618703+0.01873251j, -0.03063006+0.46857912j]])
"""
if check_finite:
Z, T = map(asarray_chkfinite, (Z, T))
else:
Z, T = map(asarray, (Z, T))
for ind, X in enumerate([Z, T]):
if X.ndim != 2 or X.shape[0] != X.shape[1]:
raise ValueError("Input '{}' must be square.".format('ZT'[ind]))
if T.shape[0] != Z.shape[0]:
raise ValueError("Input array shapes must match: Z: {} vs. T: {}"
"".format(Z.shape, T.shape))
N = T.shape[0]
t = _commonType(Z, T, array([3.0], 'F'))
Z, T = _castCopy(t, Z, T)
for m in range(N-1, 0, -1):
if abs(T[m, m-1]) > eps*(abs(T[m-1, m-1]) + abs(T[m, m])):
mu = eigvals(T[m-1:m+1, m-1:m+1]) - T[m, m]
r = norm([mu[0], T[m, m-1]])
c = mu[0] / r
s = T[m, m-1] / r
G = array([[c.conj(), s], [-s, c]], dtype=t)
T[m-1:m+1, m-1:] = G.dot(T[m-1:m+1, m-1:])
T[:m+1, m-1:m+1] = T[:m+1, m-1:m+1].dot(G.conj().T)
Z[:, m-1:m+1] = Z[:, m-1:m+1].dot(G.conj().T)
T[m, m-1] = 0.0
return T, Z
|
bsd-3-clause
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10238,
15334,
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754,
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8826,
267,
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1556,
9030,
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2222,
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1556,
9030,
12,
2222,
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20667,
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315,
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31930,
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4038,
499,
14,
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1407,
1822,
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32340,
8425,
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17,
14,
30432,
1401,
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delmic/odemis
|
src/odemis/gui/dev/powermate.py
|
2
|
9666
|
# -*- coding: utf-8 -*-
"""
@author: Rinze de Laat
Copyright © 2015 Rinze de Laat, Éric Piel, Delmic
This file is part of Odemis.
Odemis is free software: you can redistribute it and/or modify it under the terms of the GNU
General Public License version 2 as published by the Free Software Foundation.
Odemis 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 Odemis. If not,
see http://www.gnu.org/licenses/.
"""
from __future__ import division
import logging
import os
import struct
import sys
import threading
import time
import wx
from odemis.acq.stream import StaticStream
from odemis.gui.evt import KnobRotateEvent, KnobPressEvent
class Powermate(threading.Thread):
""" Interface to Griffin PowerMate
It will translate the knob rotation movements into EVT_KNOB_ROTATE events
It also automatically turn on/off the led based on the whether the current
stream can focus.
"""
def __init__(self, main_data, **kwargs):
"""
Picks the first Powermate found, and
main_data (MainGUIData)
Raise:
NotImplementedError: if the OS doesn't support it
LookupError: if no Powermate is found
"""
# TODO: support other OS than Linux?
if not sys.platform.startswith('linux'):
raise NotImplementedError("Powermate only supported on Linux")
# Find the Powermate device (will stop here if nothing is found)
self.device = self._find_powermate_device()
# The currently opened GUI tab, so we can keep track of tab switching
self.current_tab = None
# To keep track of ALL streams associated with the current tab (addition, removal etc.)
self.tab_model_streams_va = None # .streams VA of the tab model
# All streams belonging to the current tab
self.current_tab_streams = ()
# Viewport to which we send our events
self.target_viewport = None
self.led_brightness = 255 # [0..255]
self.led_pulse_speed = 0 # [0..510]
self.keep_running = True
# Track tab switching, so we know when to look for a new viewport
main_data.tab.subscribe(self.on_tab_switch, init=True)
# Start listening for Knob input
threading.Thread.__init__(self, **kwargs)
self.daemon = True
self.start()
# TODO: allow to terminate the thread?
def on_tab_switch(self, tab):
""" Subscribe to focussed view changes when the opened tab is changed """
# Clear old tab subscriptions
if self.current_tab:
if hasattr(self.current_tab.tab_data_model, 'focussedView'):
# Clear the current subscription
self.current_tab.tab_data_model.focussedView.unsubscribe(self._on_focussed_view)
if self.tab_model_streams_va is not None:
self.tab_model_streams_va.unsubscribe(self.on_tab_stream_change)
self.current_tab = None
# Set new subscriptions
if hasattr(tab.tab_data_model, 'focussedView') and hasattr(tab, 'view_controller'):
self.tab_model_streams_va = tab.tab_data_model.streams
self.tab_model_streams_va.subscribe(self.on_tab_stream_change, init=True)
self.current_tab = tab
self.current_tab.tab_data_model.focussedView.subscribe(self._on_focussed_view,
init=True)
def on_tab_stream_change(self, streams):
""" Set the subscription for the stream when the tab's stream set changes """
if self.current_tab_streams:
for stream in self.current_tab_streams:
stream.should_update.unsubscribe(self._on_stream_update)
self.current_tab_streams = streams
if self.current_tab_streams:
for stream in self.current_tab_streams:
stream.should_update.subscribe(self._on_stream_update, init=True)
def _on_stream_update(self, _=None):
"""
Check all the streams of the currently focussed Viewport to see if the
LED should be on.
"""
if self.current_tab is None:
self.led_on(False)
return
view = self.current_tab.tab_data_model.focussedView.value
if view is None:
self.led_on(False)
return
for stream in view.stream_tree:
static = isinstance(stream, StaticStream)
updating = stream.should_update.value if hasattr(stream, "should_update") else False
if updating and stream.focuser and not static:
self.led_on(True)
break
else:
self.led_on(False)
def _on_focussed_view(self, view):
""" Set or clear the Viewport where we should send events to """
if view:
self.target_viewport = self.current_tab.view_controller.get_viewport_by_view(view)
self._on_stream_update()
logging.debug("New Viewport target set")
else:
self.target_viewport = None
self.led_on(False)
logging.debug("Viewport target cleared")
def _find_powermate_device(self):
try:
import evdev
except ImportError:
raise LookupError("python-evdev is not present")
# Look at all accessible /dev/input devices
for fn in evdev.util.list_devices():
d = evdev.InputDevice(fn)
# Check for PowerMate in the device name string
if "PowerMate" in d.name:
logging.info("Found Powermate device in %s", fn)
return d
else:
raise LookupError("No Powermate device found")
def run(self):
""" Listen for knob events and translate them into wx.Python events """
from evdev import ecodes
while self.keep_running:
try:
for evt in self.device.read_loop():
if self.target_viewport is not None:
if evt.type == ecodes.EV_REL:
knob_evt = KnobRotateEvent(
self.target_viewport.canvas.GetId(),
direction=(wx.RIGHT if evt.value > 0 else wx.LEFT),
step_value=evt.value,
device=self.device
)
wx.PostEvent(self.target_viewport.canvas, knob_evt)
elif evt.type == ecodes.EV_KEY and evt.value == 1:
knob_evt = KnobPressEvent(
self.target_viewport.canvas.GetId(),
device=self.device
)
wx.PostEvent(self.target_viewport.canvas, knob_evt)
except IOError:
logging.warn("Failed to communicate with the powermate, was unplugged?")
# Sleep and after try and find the device again
while True:
time.sleep(5)
try:
self.device = self._find_powermate_device()
break
except LookupError:
pass
except Exception:
logging.exception("Powermate listener failed")
self.keep_running = False
def led_on(self, on):
self.led_brightness = 255 if on else 0
self._set_led_state()
def led_pulse(self, pulse):
self.led_pulse_speed = 255 if pulse else 0
self._set_led_state()
def terminate(self):
self.led_on(False)
self.keep_running = False
if self.device:
self.device.close()
self.device = None
def _set_led_state(self, pulse_table=0, pulse_on_sleep=False):
""" Changes the led state of the powermate
pulse_table (0, 1, 2)
pulse_on_sleep (bool): starting pulsing when the device is suspended
"""
# What do these magic values mean:
# cf linux/drivers/input/misc/powermate.c:
# bits 0- 7: 8 bits: LED brightness
# bits 8-16: 9 bits: pulsing speed modifier (0 ... 510);
# 0-254 = slower, 255 = standard, 256-510 = faster
# bits 17-18: 2 bits: pulse table (0, 1, 2 valid)
# bit 19: 1 bit : pulse whilst asleep?
# bit 20: 1 bit : pulse constantly?
static_brightness = self.led_brightness & 0xff
pulse_speed = min(510, max(self.led_pulse_speed, 0))
pulse_table = min(2, max(pulse_table, 0))
pulse_on_sleep = not not pulse_on_sleep # not not = convert to 0/1
pulse_on_wake = 1 if pulse_speed else 0
magic = (
static_brightness |
(pulse_speed << 8) |
(pulse_table << 17) |
(pulse_on_sleep << 19) |
(pulse_on_wake << 20)
)
input_event_struct = "@llHHi"
data = struct.pack(input_event_struct, 0, 0, 0x04, 0x01, magic)
if self.device is None:
logging.debug("Powermate has disappeared, skipping led change")
return
try:
os.write(self.device.fd, data)
except OSError:
logging.info("Failed to communicate with the powermate, was unplugged?", exc_info=True)
self.device = None
|
gpl-2.0
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dvliman/jaikuengine
|
.google_appengine/lib/yaml/lib/yaml/dumper.py
|
131
|
2718
|
__all__ = ['BaseDumper', 'SafeDumper', 'Dumper']
from emitter import *
from serializer import *
from representer import *
from resolver import *
class BaseDumper(Emitter, Serializer, BaseRepresenter, BaseResolver):
def __init__(self, stream,
default_style=None, default_flow_style=None,
canonical=None, indent=None, width=None,
allow_unicode=None, line_break=None,
encoding=None, explicit_start=None, explicit_end=None,
version=None, tags=None):
Emitter.__init__(self, stream, canonical=canonical,
indent=indent, width=width,
allow_uncode=allow_unicode, line_break=line_break)
Serializer.__init__(self, encoding=encoding,
explicit_start=explicit_start, explicit_end=explicit_end,
version=version, tags=tags)
Representer.__init__(self, default_style=default_style,
default_flow_style=default_flow_style)
Resolver.__init__(self)
class SafeDumper(Emitter, Serializer, SafeRepresenter, Resolver):
def __init__(self, stream,
default_style=None, default_flow_style=None,
canonical=None, indent=None, width=None,
allow_unicode=None, line_break=None,
encoding=None, explicit_start=None, explicit_end=None,
version=None, tags=None):
Emitter.__init__(self, stream, canonical=canonical,
indent=indent, width=width,
allow_unicode=allow_unicode, line_break=line_break)
Serializer.__init__(self, encoding=encoding,
explicit_start=explicit_start, explicit_end=explicit_end,
version=version, tags=tags)
SafeRepresenter.__init__(self, default_style=default_style,
default_flow_style=default_flow_style)
Resolver.__init__(self)
class Dumper(Emitter, Serializer, Representer, Resolver):
def __init__(self, stream,
default_style=None, default_flow_style=None,
canonical=None, indent=None, width=None,
allow_unicode=None, line_break=None,
encoding=None, explicit_start=None, explicit_end=None,
version=None, tags=None):
Emitter.__init__(self, stream, canonical=canonical,
indent=indent, width=width,
allow_unicode=allow_unicode, line_break=line_break)
Serializer.__init__(self, encoding=encoding,
explicit_start=explicit_start, explicit_end=explicit_end,
version=version, tags=tags)
Representer.__init__(self, default_style=default_style,
default_flow_style=default_flow_style)
Resolver.__init__(self)
|
apache-2.0
|
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Khan/khan-linter
|
vendor/py2/yaml/tokens.py
|
985
|
2573
|
class Token(object):
def __init__(self, start_mark, end_mark):
self.start_mark = start_mark
self.end_mark = end_mark
def __repr__(self):
attributes = [key for key in self.__dict__
if not key.endswith('_mark')]
attributes.sort()
arguments = ', '.join(['%s=%r' % (key, getattr(self, key))
for key in attributes])
return '%s(%s)' % (self.__class__.__name__, arguments)
#class BOMToken(Token):
# id = '<byte order mark>'
class DirectiveToken(Token):
id = '<directive>'
def __init__(self, name, value, start_mark, end_mark):
self.name = name
self.value = value
self.start_mark = start_mark
self.end_mark = end_mark
class DocumentStartToken(Token):
id = '<document start>'
class DocumentEndToken(Token):
id = '<document end>'
class StreamStartToken(Token):
id = '<stream start>'
def __init__(self, start_mark=None, end_mark=None,
encoding=None):
self.start_mark = start_mark
self.end_mark = end_mark
self.encoding = encoding
class StreamEndToken(Token):
id = '<stream end>'
class BlockSequenceStartToken(Token):
id = '<block sequence start>'
class BlockMappingStartToken(Token):
id = '<block mapping start>'
class BlockEndToken(Token):
id = '<block end>'
class FlowSequenceStartToken(Token):
id = '['
class FlowMappingStartToken(Token):
id = '{'
class FlowSequenceEndToken(Token):
id = ']'
class FlowMappingEndToken(Token):
id = '}'
class KeyToken(Token):
id = '?'
class ValueToken(Token):
id = ':'
class BlockEntryToken(Token):
id = '-'
class FlowEntryToken(Token):
id = ','
class AliasToken(Token):
id = '<alias>'
def __init__(self, value, start_mark, end_mark):
self.value = value
self.start_mark = start_mark
self.end_mark = end_mark
class AnchorToken(Token):
id = '<anchor>'
def __init__(self, value, start_mark, end_mark):
self.value = value
self.start_mark = start_mark
self.end_mark = end_mark
class TagToken(Token):
id = '<tag>'
def __init__(self, value, start_mark, end_mark):
self.value = value
self.start_mark = start_mark
self.end_mark = end_mark
class ScalarToken(Token):
id = '<scalar>'
def __init__(self, value, plain, start_mark, end_mark, style=None):
self.value = value
self.plain = plain
self.start_mark = start_mark
self.end_mark = end_mark
self.style = style
|
apache-2.0
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tumbl3w33d/ansible
|
lib/ansible/modules/network/fortios/fortios_system_management_tunnel.py
|
13
|
11162
|
#!/usr/bin/python
from __future__ import (absolute_import, division, print_function)
# Copyright 2019 Fortinet, Inc.
#
# 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 <https://www.gnu.org/licenses/>.
__metaclass__ = type
ANSIBLE_METADATA = {'status': ['preview'],
'supported_by': 'community',
'metadata_version': '1.1'}
DOCUMENTATION = '''
---
module: fortios_system_management_tunnel
short_description: Management tunnel configuration in Fortinet's FortiOS and FortiGate.
description:
- This module is able to configure a FortiGate or FortiOS (FOS) device by allowing the
user to set and modify system feature and management_tunnel category.
Examples include all parameters and values need to be adjusted to datasources before usage.
Tested with FOS v6.0.5
version_added: "2.9"
author:
- Miguel Angel Munoz (@mamunozgonzalez)
- Nicolas Thomas (@thomnico)
notes:
- Requires fortiosapi library developed by Fortinet
- Run as a local_action in your playbook
requirements:
- fortiosapi>=0.9.8
options:
host:
description:
- FortiOS or FortiGate IP address.
type: str
required: false
username:
description:
- FortiOS or FortiGate username.
type: str
required: false
password:
description:
- FortiOS or FortiGate password.
type: str
default: ""
vdom:
description:
- Virtual domain, among those defined previously. A vdom is a
virtual instance of the FortiGate that can be configured and
used as a different unit.
type: str
default: root
https:
description:
- Indicates if the requests towards FortiGate must use HTTPS protocol.
type: bool
default: true
ssl_verify:
description:
- Ensures FortiGate certificate must be verified by a proper CA.
type: bool
default: true
system_management_tunnel:
description:
- Management tunnel configuration.
default: null
type: dict
suboptions:
allow_collect_statistics:
description:
- Enable/disable collection of run time statistics.
type: str
choices:
- enable
- disable
allow_config_restore:
description:
- Enable/disable allow config restore.
type: str
choices:
- enable
- disable
allow_push_configuration:
description:
- Enable/disable push configuration.
type: str
choices:
- enable
- disable
allow_push_firmware:
description:
- Enable/disable push firmware.
type: str
choices:
- enable
- disable
authorized_manager_only:
description:
- Enable/disable restriction of authorized manager only.
type: str
choices:
- enable
- disable
serial_number:
description:
- Serial number.
type: str
status:
description:
- Enable/disable FGFM tunnel.
type: str
choices:
- enable
- disable
'''
EXAMPLES = '''
- hosts: localhost
vars:
host: "192.168.122.40"
username: "admin"
password: ""
vdom: "root"
ssl_verify: "False"
tasks:
- name: Management tunnel configuration.
fortios_system_management_tunnel:
host: "{{ host }}"
username: "{{ username }}"
password: "{{ password }}"
vdom: "{{ vdom }}"
https: "False"
system_management_tunnel:
allow_collect_statistics: "enable"
allow_config_restore: "enable"
allow_push_configuration: "enable"
allow_push_firmware: "enable"
authorized_manager_only: "enable"
serial_number: "<your_own_value>"
status: "enable"
'''
RETURN = '''
build:
description: Build number of the fortigate image
returned: always
type: str
sample: '1547'
http_method:
description: Last method used to provision the content into FortiGate
returned: always
type: str
sample: 'PUT'
http_status:
description: Last result given by FortiGate on last operation applied
returned: always
type: str
sample: "200"
mkey:
description: Master key (id) used in the last call to FortiGate
returned: success
type: str
sample: "id"
name:
description: Name of the table used to fulfill the request
returned: always
type: str
sample: "urlfilter"
path:
description: Path of the table used to fulfill the request
returned: always
type: str
sample: "webfilter"
revision:
description: Internal revision number
returned: always
type: str
sample: "17.0.2.10658"
serial:
description: Serial number of the unit
returned: always
type: str
sample: "FGVMEVYYQT3AB5352"
status:
description: Indication of the operation's result
returned: always
type: str
sample: "success"
vdom:
description: Virtual domain used
returned: always
type: str
sample: "root"
version:
description: Version of the FortiGate
returned: always
type: str
sample: "v5.6.3"
'''
from ansible.module_utils.basic import AnsibleModule
from ansible.module_utils.connection import Connection
from ansible.module_utils.network.fortios.fortios import FortiOSHandler
from ansible.module_utils.network.fortimanager.common import FAIL_SOCKET_MSG
def login(data, fos):
host = data['host']
username = data['username']
password = data['password']
ssl_verify = data['ssl_verify']
fos.debug('on')
if 'https' in data and not data['https']:
fos.https('off')
else:
fos.https('on')
fos.login(host, username, password, verify=ssl_verify)
def filter_system_management_tunnel_data(json):
option_list = ['allow_collect_statistics', 'allow_config_restore', 'allow_push_configuration',
'allow_push_firmware', 'authorized_manager_only', 'serial_number',
'status']
dictionary = {}
for attribute in option_list:
if attribute in json and json[attribute] is not None:
dictionary[attribute] = json[attribute]
return dictionary
def underscore_to_hyphen(data):
if isinstance(data, list):
for elem in data:
elem = underscore_to_hyphen(elem)
elif isinstance(data, dict):
new_data = {}
for k, v in data.items():
new_data[k.replace('_', '-')] = underscore_to_hyphen(v)
data = new_data
return data
def system_management_tunnel(data, fos):
vdom = data['vdom']
system_management_tunnel_data = data['system_management_tunnel']
filtered_data = underscore_to_hyphen(filter_system_management_tunnel_data(system_management_tunnel_data))
return fos.set('system',
'management-tunnel',
data=filtered_data,
vdom=vdom)
def is_successful_status(status):
return status['status'] == "success" or \
status['http_method'] == "DELETE" and status['http_status'] == 404
def fortios_system(data, fos):
if data['system_management_tunnel']:
resp = system_management_tunnel(data, fos)
return not is_successful_status(resp), \
resp['status'] == "success", \
resp
def main():
fields = {
"host": {"required": False, "type": "str"},
"username": {"required": False, "type": "str"},
"password": {"required": False, "type": "str", "default": "", "no_log": True},
"vdom": {"required": False, "type": "str", "default": "root"},
"https": {"required": False, "type": "bool", "default": True},
"ssl_verify": {"required": False, "type": "bool", "default": True},
"system_management_tunnel": {
"required": False, "type": "dict", "default": None,
"options": {
"allow_collect_statistics": {"required": False, "type": "str",
"choices": ["enable", "disable"]},
"allow_config_restore": {"required": False, "type": "str",
"choices": ["enable", "disable"]},
"allow_push_configuration": {"required": False, "type": "str",
"choices": ["enable", "disable"]},
"allow_push_firmware": {"required": False, "type": "str",
"choices": ["enable", "disable"]},
"authorized_manager_only": {"required": False, "type": "str",
"choices": ["enable", "disable"]},
"serial_number": {"required": False, "type": "str"},
"status": {"required": False, "type": "str",
"choices": ["enable", "disable"]}
}
}
}
module = AnsibleModule(argument_spec=fields,
supports_check_mode=False)
# legacy_mode refers to using fortiosapi instead of HTTPAPI
legacy_mode = 'host' in module.params and module.params['host'] is not None and \
'username' in module.params and module.params['username'] is not None and \
'password' in module.params and module.params['password'] is not None
if not legacy_mode:
if module._socket_path:
connection = Connection(module._socket_path)
fos = FortiOSHandler(connection)
is_error, has_changed, result = fortios_system(module.params, fos)
else:
module.fail_json(**FAIL_SOCKET_MSG)
else:
try:
from fortiosapi import FortiOSAPI
except ImportError:
module.fail_json(msg="fortiosapi module is required")
fos = FortiOSAPI()
login(module.params, fos)
is_error, has_changed, result = fortios_system(module.params, fos)
fos.logout()
if not is_error:
module.exit_json(changed=has_changed, meta=result)
else:
module.fail_json(msg="Error in repo", meta=result)
if __name__ == '__main__':
main()
|
gpl-3.0
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rhyolight/nupic.son
|
tests/app/soc/modules/gci/views/helper/test_redirect_helper.py
|
1
|
2784
|
# Copyright 2012 the Melange authors.
#
# 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.
"""This module unit tests for RedirectHelper class."""
from soc.views.helper.access_checker import unset
from soc.modules.gci.views.base import GCIRequestHandler
from tests.test_utils import GCITestCase
from tests.test_utils import MockRequest
class RedirectHelperTest(GCITestCase):
"""Unit tests for RedirectHelper class."""
def setUp(self):
self.init()
request = MockRequest(path="/")
self.handler = GCIRequestHandler()
data, _, _ = self.handler.initializer.initialize(request, (), {})
self.redirect = data.redirect
def testProgram(self):
expected = {
'sponsor': self.sponsor.link_id,
'program': self.gci.link_id,
}
self.handler.kwargs = {}
self.redirect.program(program=self.gci)
self.assertEqual(self.redirect.kwargs, expected)
self.handler.kwargs = {}
self.redirect.program()
self.assertEqual(self.redirect.kwargs, expected)
self.redirect._data._program = unset
self._assertAssertionError(self.redirect.program)
def testUserOrg(self):
expected = {
'user': 'test_user',
'organization': self.org.link_id,
'sponsor': self.sponsor.link_id,
'program': self.gci.link_id
}
self.handler.kwargs = {}
self.redirect.userOrg(user='test_user', organization=self.org)
self.assertEqual(self.redirect.kwargs, expected)
self.handler.kwargs = {}
self.redirect._data.kwargs['user'] = 'test_user'
self.redirect.userOrg(organization=self.org)
self.assertEqual(self.redirect.kwargs, expected)
self.handler.kwargs = {}
del self.redirect._data.kwargs['user']
self.redirect._data.organization = self.org
self.redirect.userOrg(user='test_user')
self.assertEqual(self.redirect.kwargs, expected)
self.handler.kwargs = {}
self.redirect._data.organization = None
self._assertAssertionError(self.redirect.userOrg)
def _assertAssertionError(self, callable, *args, **kwargs):
# TODO(daniel): replace this with the commented code
# when app is updated to 2.7 runtime
self.assertRaises(AssertionError, callable, *args, **kwargs)
#with self.assertRaises(AssertionError):
# callable(*args, **kwargs)
|
apache-2.0
|
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schinke/solid-fortnight-ba
|
flask/venv/lib/python2.7/site-packages/pip/_vendor/packaging/_structures.py
|
1152
|
1416
|
# This file is dual licensed under the terms of the Apache License, Version
# 2.0, and the BSD License. See the LICENSE file in the root of this repository
# for complete details.
from __future__ import absolute_import, division, print_function
class Infinity(object):
def __repr__(self):
return "Infinity"
def __hash__(self):
return hash(repr(self))
def __lt__(self, other):
return False
def __le__(self, other):
return False
def __eq__(self, other):
return isinstance(other, self.__class__)
def __ne__(self, other):
return not isinstance(other, self.__class__)
def __gt__(self, other):
return True
def __ge__(self, other):
return True
def __neg__(self):
return NegativeInfinity
Infinity = Infinity()
class NegativeInfinity(object):
def __repr__(self):
return "-Infinity"
def __hash__(self):
return hash(repr(self))
def __lt__(self, other):
return True
def __le__(self, other):
return True
def __eq__(self, other):
return isinstance(other, self.__class__)
def __ne__(self, other):
return not isinstance(other, self.__class__)
def __gt__(self, other):
return False
def __ge__(self, other):
return False
def __neg__(self):
return Infinity
NegativeInfinity = NegativeInfinity()
|
mit
|
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guaix-ucm/numina
|
numina/user/clirundal.py
|
3
|
1572
|
#
# Copyright 2008-2019 Universidad Complutense de Madrid
#
# This file is part of Numina
#
# SPDX-License-Identifier: GPL-3.0+
# License-Filename: LICENSE.txt
#
"""User command line interface of Numina."""
import logging
from .baserun import run_reduce
from .helpers import create_datamanager, load_observations
_logger = logging.getLogger(__name__)
def mode_run_common(args, extra_args, mode):
# FIXME: implement 'recipe' run mode
if mode == 'rec':
print('Mode not implemented yet')
return 1
elif mode == 'obs':
return mode_run_common_obs(args, extra_args)
else:
raise ValueError(f'Not valid run mode {mode}')
def mode_run_common_obs(args, extra_args):
"""Observing mode processing mode of numina."""
# Loading observation result if exists
sessions, loaded_obs = load_observations(args.obsresult, args.session)
datamanager = create_datamanager(args.reqs, args.basedir, args.datadir, extra_args.extra_control)
datamanager.backend.add_obs(loaded_obs)
# Start processing
jobs = []
for session in sessions:
for job in session:
if job['enabled'] or job['id'] in args.enable:
jobs.append(job)
for job in jobs:
run_reduce(
datamanager, job['id'], copy_files=args.copy_files,
validate_inputs=args.validate, validate_results=args.validate
)
if args.dump_control:
_logger.debug('dump control status')
with open('control_dump.yaml', 'w') as fp:
datamanager.backend.dump(fp)
|
gpl-3.0
|
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OsirisSPS/osiris-sps
|
client/share/plugins/AF9A4C281070FDB0F34CF417CDB168AB38C8A388/lib/lib2to3/fixes/fix_sys_exc.py
|
327
|
1039
|
"""Fixer for sys.exc_{type, value, traceback}
sys.exc_type -> sys.exc_info()[0]
sys.exc_value -> sys.exc_info()[1]
sys.exc_traceback -> sys.exc_info()[2]
"""
# By Jeff Balogh and Benjamin Peterson
# Local imports
from .. import fixer_base
from ..fixer_util import Attr, Call, Name, Number, Subscript, Node, syms
class FixSysExc(fixer_base.BaseFix):
# This order matches the ordering of sys.exc_info().
exc_info = [u"exc_type", u"exc_value", u"exc_traceback"]
BM_compatible = True
PATTERN = """
power< 'sys' trailer< dot='.' attribute=(%s) > >
""" % '|'.join("'%s'" % e for e in exc_info)
def transform(self, node, results):
sys_attr = results["attribute"][0]
index = Number(self.exc_info.index(sys_attr.value))
call = Call(Name(u"exc_info"), prefix=sys_attr.prefix)
attr = Attr(Name(u"sys"), call)
attr[1].children[0].prefix = results["dot"].prefix
attr.append(Subscript(index))
return Node(syms.power, attr, prefix=node.prefix)
|
gpl-3.0
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groutr/numpy
|
numpy/matrixlib/tests/test_defmatrix.py
|
130
|
14801
|
from __future__ import division, absolute_import, print_function
import collections
import numpy as np
from numpy import matrix, asmatrix, bmat
from numpy.testing import (
TestCase, run_module_suite, assert_, assert_equal, assert_almost_equal,
assert_array_equal, assert_array_almost_equal, assert_raises
)
from numpy.matrixlib.defmatrix import matrix_power
from numpy.matrixlib import mat
class TestCtor(TestCase):
def test_basic(self):
A = np.array([[1, 2], [3, 4]])
mA = matrix(A)
assert_(np.all(mA.A == A))
B = bmat("A,A;A,A")
C = bmat([[A, A], [A, A]])
D = np.array([[1, 2, 1, 2],
[3, 4, 3, 4],
[1, 2, 1, 2],
[3, 4, 3, 4]])
assert_(np.all(B.A == D))
assert_(np.all(C.A == D))
E = np.array([[5, 6], [7, 8]])
AEresult = matrix([[1, 2, 5, 6], [3, 4, 7, 8]])
assert_(np.all(bmat([A, E]) == AEresult))
vec = np.arange(5)
mvec = matrix(vec)
assert_(mvec.shape == (1, 5))
def test_exceptions(self):
# Check for TypeError when called with invalid string data.
assert_raises(TypeError, matrix, "invalid")
def test_bmat_nondefault_str(self):
A = np.array([[1, 2], [3, 4]])
B = np.array([[5, 6], [7, 8]])
Aresult = np.array([[1, 2, 1, 2],
[3, 4, 3, 4],
[1, 2, 1, 2],
[3, 4, 3, 4]])
mixresult = np.array([[1, 2, 5, 6],
[3, 4, 7, 8],
[5, 6, 1, 2],
[7, 8, 3, 4]])
assert_(np.all(bmat("A,A;A,A") == Aresult))
assert_(np.all(bmat("A,A;A,A", ldict={'A':B}) == Aresult))
assert_raises(TypeError, bmat, "A,A;A,A", gdict={'A':B})
assert_(
np.all(bmat("A,A;A,A", ldict={'A':A}, gdict={'A':B}) == Aresult))
b2 = bmat("A,B;C,D", ldict={'A':A,'B':B}, gdict={'C':B,'D':A})
assert_(np.all(b2 == mixresult))
class TestProperties(TestCase):
def test_sum(self):
"""Test whether matrix.sum(axis=1) preserves orientation.
Fails in NumPy <= 0.9.6.2127.
"""
M = matrix([[1, 2, 0, 0],
[3, 4, 0, 0],
[1, 2, 1, 2],
[3, 4, 3, 4]])
sum0 = matrix([8, 12, 4, 6])
sum1 = matrix([3, 7, 6, 14]).T
sumall = 30
assert_array_equal(sum0, M.sum(axis=0))
assert_array_equal(sum1, M.sum(axis=1))
assert_equal(sumall, M.sum())
assert_array_equal(sum0, np.sum(M, axis=0))
assert_array_equal(sum1, np.sum(M, axis=1))
assert_equal(sumall, np.sum(M))
def test_prod(self):
x = matrix([[1, 2, 3], [4, 5, 6]])
assert_equal(x.prod(), 720)
assert_equal(x.prod(0), matrix([[4, 10, 18]]))
assert_equal(x.prod(1), matrix([[6], [120]]))
assert_equal(np.prod(x), 720)
assert_equal(np.prod(x, axis=0), matrix([[4, 10, 18]]))
assert_equal(np.prod(x, axis=1), matrix([[6], [120]]))
y = matrix([0, 1, 3])
assert_(y.prod() == 0)
def test_max(self):
x = matrix([[1, 2, 3], [4, 5, 6]])
assert_equal(x.max(), 6)
assert_equal(x.max(0), matrix([[4, 5, 6]]))
assert_equal(x.max(1), matrix([[3], [6]]))
assert_equal(np.max(x), 6)
assert_equal(np.max(x, axis=0), matrix([[4, 5, 6]]))
assert_equal(np.max(x, axis=1), matrix([[3], [6]]))
def test_min(self):
x = matrix([[1, 2, 3], [4, 5, 6]])
assert_equal(x.min(), 1)
assert_equal(x.min(0), matrix([[1, 2, 3]]))
assert_equal(x.min(1), matrix([[1], [4]]))
assert_equal(np.min(x), 1)
assert_equal(np.min(x, axis=0), matrix([[1, 2, 3]]))
assert_equal(np.min(x, axis=1), matrix([[1], [4]]))
def test_ptp(self):
x = np.arange(4).reshape((2, 2))
assert_(x.ptp() == 3)
assert_(np.all(x.ptp(0) == np.array([2, 2])))
assert_(np.all(x.ptp(1) == np.array([1, 1])))
def test_var(self):
x = np.arange(9).reshape((3, 3))
mx = x.view(np.matrix)
assert_equal(x.var(ddof=0), mx.var(ddof=0))
assert_equal(x.var(ddof=1), mx.var(ddof=1))
def test_basic(self):
import numpy.linalg as linalg
A = np.array([[1., 2.],
[3., 4.]])
mA = matrix(A)
assert_(np.allclose(linalg.inv(A), mA.I))
assert_(np.all(np.array(np.transpose(A) == mA.T)))
assert_(np.all(np.array(np.transpose(A) == mA.H)))
assert_(np.all(A == mA.A))
B = A + 2j*A
mB = matrix(B)
assert_(np.allclose(linalg.inv(B), mB.I))
assert_(np.all(np.array(np.transpose(B) == mB.T)))
assert_(np.all(np.array(np.transpose(B).conj() == mB.H)))
def test_pinv(self):
x = matrix(np.arange(6).reshape(2, 3))
xpinv = matrix([[-0.77777778, 0.27777778],
[-0.11111111, 0.11111111],
[ 0.55555556, -0.05555556]])
assert_almost_equal(x.I, xpinv)
def test_comparisons(self):
A = np.arange(100).reshape(10, 10)
mA = matrix(A)
mB = matrix(A) + 0.1
assert_(np.all(mB == A+0.1))
assert_(np.all(mB == matrix(A+0.1)))
assert_(not np.any(mB == matrix(A-0.1)))
assert_(np.all(mA < mB))
assert_(np.all(mA <= mB))
assert_(np.all(mA <= mA))
assert_(not np.any(mA < mA))
assert_(not np.any(mB < mA))
assert_(np.all(mB >= mA))
assert_(np.all(mB >= mB))
assert_(not np.any(mB > mB))
assert_(np.all(mA == mA))
assert_(not np.any(mA == mB))
assert_(np.all(mB != mA))
assert_(not np.all(abs(mA) > 0))
assert_(np.all(abs(mB > 0)))
def test_asmatrix(self):
A = np.arange(100).reshape(10, 10)
mA = asmatrix(A)
A[0, 0] = -10
assert_(A[0, 0] == mA[0, 0])
def test_noaxis(self):
A = matrix([[1, 0], [0, 1]])
assert_(A.sum() == matrix(2))
assert_(A.mean() == matrix(0.5))
def test_repr(self):
A = matrix([[1, 0], [0, 1]])
assert_(repr(A) == "matrix([[1, 0],\n [0, 1]])")
class TestCasting(TestCase):
def test_basic(self):
A = np.arange(100).reshape(10, 10)
mA = matrix(A)
mB = mA.copy()
O = np.ones((10, 10), np.float64) * 0.1
mB = mB + O
assert_(mB.dtype.type == np.float64)
assert_(np.all(mA != mB))
assert_(np.all(mB == mA+0.1))
mC = mA.copy()
O = np.ones((10, 10), np.complex128)
mC = mC * O
assert_(mC.dtype.type == np.complex128)
assert_(np.all(mA != mB))
class TestAlgebra(TestCase):
def test_basic(self):
import numpy.linalg as linalg
A = np.array([[1., 2.], [3., 4.]])
mA = matrix(A)
B = np.identity(2)
for i in range(6):
assert_(np.allclose((mA ** i).A, B))
B = np.dot(B, A)
Ainv = linalg.inv(A)
B = np.identity(2)
for i in range(6):
assert_(np.allclose((mA ** -i).A, B))
B = np.dot(B, Ainv)
assert_(np.allclose((mA * mA).A, np.dot(A, A)))
assert_(np.allclose((mA + mA).A, (A + A)))
assert_(np.allclose((3*mA).A, (3*A)))
mA2 = matrix(A)
mA2 *= 3
assert_(np.allclose(mA2.A, 3*A))
def test_pow(self):
"""Test raising a matrix to an integer power works as expected."""
m = matrix("1. 2.; 3. 4.")
m2 = m.copy()
m2 **= 2
mi = m.copy()
mi **= -1
m4 = m2.copy()
m4 **= 2
assert_array_almost_equal(m2, m**2)
assert_array_almost_equal(m4, np.dot(m2, m2))
assert_array_almost_equal(np.dot(mi, m), np.eye(2))
def test_notimplemented(self):
'''Check that 'not implemented' operations produce a failure.'''
A = matrix([[1., 2.],
[3., 4.]])
# __rpow__
try:
1.0**A
except TypeError:
pass
else:
self.fail("matrix.__rpow__ doesn't raise a TypeError")
# __mul__ with something not a list, ndarray, tuple, or scalar
try:
A*object()
except TypeError:
pass
else:
self.fail("matrix.__mul__ with non-numeric object doesn't raise"
"a TypeError")
class TestMatrixReturn(TestCase):
def test_instance_methods(self):
a = matrix([1.0], dtype='f8')
methodargs = {
'astype': ('intc',),
'clip': (0.0, 1.0),
'compress': ([1],),
'repeat': (1,),
'reshape': (1,),
'swapaxes': (0, 0),
'dot': np.array([1.0]),
}
excluded_methods = [
'argmin', 'choose', 'dump', 'dumps', 'fill', 'getfield',
'getA', 'getA1', 'item', 'nonzero', 'put', 'putmask', 'resize',
'searchsorted', 'setflags', 'setfield', 'sort',
'partition', 'argpartition',
'take', 'tofile', 'tolist', 'tostring', 'tobytes', 'all', 'any',
'sum', 'argmax', 'argmin', 'min', 'max', 'mean', 'var', 'ptp',
'prod', 'std', 'ctypes', 'itemset',
]
for attrib in dir(a):
if attrib.startswith('_') or attrib in excluded_methods:
continue
f = getattr(a, attrib)
if isinstance(f, collections.Callable):
# reset contents of a
a.astype('f8')
a.fill(1.0)
if attrib in methodargs:
args = methodargs[attrib]
else:
args = ()
b = f(*args)
assert_(type(b) is matrix, "%s" % attrib)
assert_(type(a.real) is matrix)
assert_(type(a.imag) is matrix)
c, d = matrix([0.0]).nonzero()
assert_(type(c) is np.ndarray)
assert_(type(d) is np.ndarray)
class TestIndexing(TestCase):
def test_basic(self):
x = asmatrix(np.zeros((3, 2), float))
y = np.zeros((3, 1), float)
y[:, 0] = [0.8, 0.2, 0.3]
x[:, 1] = y > 0.5
assert_equal(x, [[0, 1], [0, 0], [0, 0]])
class TestNewScalarIndexing(TestCase):
def setUp(self):
self.a = matrix([[1, 2], [3, 4]])
def test_dimesions(self):
a = self.a
x = a[0]
assert_equal(x.ndim, 2)
def test_array_from_matrix_list(self):
a = self.a
x = np.array([a, a])
assert_equal(x.shape, [2, 2, 2])
def test_array_to_list(self):
a = self.a
assert_equal(a.tolist(), [[1, 2], [3, 4]])
def test_fancy_indexing(self):
a = self.a
x = a[1, [0, 1, 0]]
assert_(isinstance(x, matrix))
assert_equal(x, matrix([[3, 4, 3]]))
x = a[[1, 0]]
assert_(isinstance(x, matrix))
assert_equal(x, matrix([[3, 4], [1, 2]]))
x = a[[[1], [0]], [[1, 0], [0, 1]]]
assert_(isinstance(x, matrix))
assert_equal(x, matrix([[4, 3], [1, 2]]))
def test_matrix_element(self):
x = matrix([[1, 2, 3], [4, 5, 6]])
assert_equal(x[0][0], matrix([[1, 2, 3]]))
assert_equal(x[0][0].shape, (1, 3))
assert_equal(x[0].shape, (1, 3))
assert_equal(x[:, 0].shape, (2, 1))
x = matrix(0)
assert_equal(x[0, 0], 0)
assert_equal(x[0], 0)
assert_equal(x[:, 0].shape, x.shape)
def test_scalar_indexing(self):
x = asmatrix(np.zeros((3, 2), float))
assert_equal(x[0, 0], x[0][0])
def test_row_column_indexing(self):
x = asmatrix(np.eye(2))
assert_array_equal(x[0,:], [[1, 0]])
assert_array_equal(x[1,:], [[0, 1]])
assert_array_equal(x[:, 0], [[1], [0]])
assert_array_equal(x[:, 1], [[0], [1]])
def test_boolean_indexing(self):
A = np.arange(6)
A.shape = (3, 2)
x = asmatrix(A)
assert_array_equal(x[:, np.array([True, False])], x[:, 0])
assert_array_equal(x[np.array([True, False, False]),:], x[0,:])
def test_list_indexing(self):
A = np.arange(6)
A.shape = (3, 2)
x = asmatrix(A)
assert_array_equal(x[:, [1, 0]], x[:, ::-1])
assert_array_equal(x[[2, 1, 0],:], x[::-1,:])
class TestPower(TestCase):
def test_returntype(self):
a = np.array([[0, 1], [0, 0]])
assert_(type(matrix_power(a, 2)) is np.ndarray)
a = mat(a)
assert_(type(matrix_power(a, 2)) is matrix)
def test_list(self):
assert_array_equal(matrix_power([[0, 1], [0, 0]], 2), [[0, 0], [0, 0]])
class TestShape(TestCase):
def setUp(self):
self.a = np.array([[1], [2]])
self.m = matrix([[1], [2]])
def test_shape(self):
assert_equal(self.a.shape, (2, 1))
assert_equal(self.m.shape, (2, 1))
def test_numpy_ravel(self):
assert_equal(np.ravel(self.a).shape, (2,))
assert_equal(np.ravel(self.m).shape, (2,))
def test_member_ravel(self):
assert_equal(self.a.ravel().shape, (2,))
assert_equal(self.m.ravel().shape, (1, 2))
def test_member_flatten(self):
assert_equal(self.a.flatten().shape, (2,))
assert_equal(self.m.flatten().shape, (1, 2))
def test_numpy_ravel_order(self):
x = np.array([[1, 2, 3], [4, 5, 6]])
assert_equal(np.ravel(x), [1, 2, 3, 4, 5, 6])
assert_equal(np.ravel(x, order='F'), [1, 4, 2, 5, 3, 6])
assert_equal(np.ravel(x.T), [1, 4, 2, 5, 3, 6])
assert_equal(np.ravel(x.T, order='A'), [1, 2, 3, 4, 5, 6])
x = matrix([[1, 2, 3], [4, 5, 6]])
assert_equal(np.ravel(x), [1, 2, 3, 4, 5, 6])
assert_equal(np.ravel(x, order='F'), [1, 4, 2, 5, 3, 6])
assert_equal(np.ravel(x.T), [1, 4, 2, 5, 3, 6])
assert_equal(np.ravel(x.T, order='A'), [1, 2, 3, 4, 5, 6])
def test_matrix_ravel_order(self):
x = matrix([[1, 2, 3], [4, 5, 6]])
assert_equal(x.ravel(), [[1, 2, 3, 4, 5, 6]])
assert_equal(x.ravel(order='F'), [[1, 4, 2, 5, 3, 6]])
assert_equal(x.T.ravel(), [[1, 4, 2, 5, 3, 6]])
assert_equal(x.T.ravel(order='A'), [[1, 2, 3, 4, 5, 6]])
def test_array_memory_sharing(self):
assert_(np.may_share_memory(self.a, self.a.ravel()))
assert_(not np.may_share_memory(self.a, self.a.flatten()))
def test_matrix_memory_sharing(self):
assert_(np.may_share_memory(self.m, self.m.ravel()))
assert_(not np.may_share_memory(self.m, self.m.flatten()))
if __name__ == "__main__":
run_module_suite()
|
bsd-3-clause
|
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] |
emijrp/WikiApiary
|
apiary/tasks/website/extensions.py
|
2
|
7314
|
"""Record extension data."""
# pylint: disable=C0301,W1201
from apiary.tasks import BaseApiaryTask
import requests
import logging
import HTMLParser
import re
import semantic_version
LOGGER = logging.getLogger()
class RecordExtensionsTask(BaseApiaryTask):
def run(self, site_id, sitename, api_url):
"""Get extensions from the website and write them to WikiApiary."""
LOGGER.info("Retrieve record_extensions for %d", site_id)
data_url = api_url + '?action=query&meta=siteinfo&siprop=extensions&format=json'
LOGGER.debug("Requesting from %s" % data_url)
try:
req = requests.get(data_url, timeout = 15, verify=False)
data = req.json()
except Exception, e:
LOGGER.error(e)
raise Exception(e)
if req.status_code == 200:
# Successfully pulled data
if 'query' in data:
# Looks like a valid response
template_block = self.generate_template(data['query']['extensions'])
wiki_return = self.bumble_bee.call({
'action': 'edit',
'title': "%s/Extensions" % sitename,
'text': template_block,
'token': self.bumble_bee_token,
'bot': 'true'
})
LOGGER.debug(wiki_return)
if 'error' in wiki_return:
raise Exception(wiki_return)
return wiki_return
else:
self.record_error(
site_id=site_id,
sitename=sitename,
log_message='Returned unexpected JSON when requesting extension data.',
log_type='warn',
log_severity='normal',
log_bot='Bumble Bee',
log_url=data_url
)
raise Exception('Returned unexpected JSON when requesting extension data.')
def generate_template(self, ext_obj):
"""Build a the wikitext for the extensions subpage."""
h = HTMLParser.HTMLParser()
# Some keys we do not want to store in WikiApiary
ignore_keys = ['descriptionmsg']
# Some keys we turn into more readable names for using inside of WikiApiary
key_names = {
'author': 'Extension author',
'name': 'Extension name',
'version': 'Extension version',
'type': 'Extension type',
'url': 'Extension URL'
}
template_block = "<noinclude>{{Extensions subpage}}</noinclude><includeonly>"
for extension in ext_obj:
if 'name' in extension:
template_block += "{{Extension in use\n"
for item in extension:
if item not in ignore_keys:
name = key_names.get(item, item)
value = extension[item]
if item == 'name':
# Sometimes people make the name of the extension a hyperlink using
# wikitext links and this makes things ugly. So, let's detect that if present.
if re.match(r'\[(http[^\s]+)\s+([^\]]+)\]', value):
(possible_url, value) = re.findall(r'\[(http[^\s]+)\s+([^\]]+)\]', value)[0]
# If a URL was given in the name, and not given as a formal part of the
# extension definition (yes, this happens) then add this to the template
# it is up to the template to decide what to do with this
template_block += "|URL Embedded in name=%s" % possible_url
value = self.filter_illegal_chars(value)
# Before unescaping 'regular' unicode characters, first deal with spaces
# because they cause problems when converted to unicode non-breaking spaces
value = value.replace(' ', ' ').replace(' ', ' ').replace('&160;', ' ')
value = h.unescape(value)
if item == 'version':
try:
# Breakdown the version information for more detailed analysis
version_details = semantic_version.Version(value, partial=True)
if version_details.major is not None:
template_block += "|Version major=%s\n" % version_details.major
if version_details.minor is not None:
template_block += "|Version minor=%s\n" % version_details.minor
if version_details.patch is not None:
template_block += "|Version patch=%s\n" % version_details.patch
if version_details.prerelease is not None:
prerelease_string = ','.join(version_details.prerelease)
template_block += "|Version prerelease=%s\n" % prerelease_string
if version_details.build is not None:
build_string = ','.join(version_details.build)
template_block += "|Version build=%s\n" % build_string
except Exception, e:
LOGGER.debug("Unable to parse version string %s (%s)" % (value, e))
if item == 'author':
# Authors can have a lot of junk in them, wikitext and such.
# We'll try to clean that up.
# Wikilinks with names
# "[[Foobar | Foo Bar]]"
value = re.sub(r'\[\[.*\|(.*)\]\]', r'\1', value)
# Simple Wikilinks
value = re.sub(r'\[\[(.*)\]\]', r'\1', value)
# Hyperlinks as wikiext
# "[https://www.mediawiki.org/wiki/User:Jeroen_De_Dauw Jeroen De Dauw]"
value = re.sub(r'\[\S+\s+([^\]]+)\]', r'\1', value)
# Misc text
value = re.sub(r'\sand\s', r', ', value)
value = re.sub(r'\.\.\.', r'', value)
value = re.sub(r' ', r' ', value)
# Lastly, there could be HTML encoded stuff in these
value = h.unescape(value)
if item == 'url':
# Seems some people really really love protocol agnostic URL's
# We detect them and add a generic http: protocol to them
if re.match(r'^\/\/', value):
value = 'http:' + value
template_block += "|%s=%s\n" % (name, value)
template_block += "}}\n"
template_block += "</includeonly>"
return template_block
|
gpl-2.0
|
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spininertia/graph-mining-rdbms
|
src/phase-3/src/radius/radius.py
|
1
|
5219
|
import sys
import random
import math
def time_it(fn):
def wrapped(*args):
import time
start = time.time()
fn(*args)
used = time.time() - start
print "%s used %s" % (str(fn), used)
return wrapped
@time_it
def assign_fm(conn, tbl_name, edge_table, k):
cur = conn.cursor()
# cur.execute("delete from %s" % tbl_name)
# cur.execute("insert into %s select src_id, fm_assign(%d) from %s group by src_id" % (tbl_name, s, edge_table))
cur.execute("select distinct src_id from %s"% edge_table)
records = cur.fetchall()
query = "insert into " + tbl_name + " values(%s, %s)"
for i in range(len(records)):
src_id = records[i][0]
fm_string = generate_k_fm_strings(k)
cur.execute(query, (src_id, fm_string))
conn.commit()
cur.close()
def generate_k_fm_strings(k):
return [generate_fm_string() for i in range(k)]
def generate_fm_string():
ran = random.random()
index = math.floor(math.log(ran, 0.5))
if index > 31:
index = 31
return 1<<int(index)
@time_it
def update_bitstring(conn, edge_table, vertex_table, tmp_table):
cur = conn.cursor()
#cur.execute("delete from %s" % tmp_table)
cur.execute("update %s as A set fm = foo.fm from (select src_id as id, agg_bit_or(fm) as fm from %s, %s where dst_id = id group by src_id) as foo where A.id = foo.id" %(tmp_table, edge_table, vertex_table))
conn.commit()
cur.close()
def is_stablized(conn, vertex_table, tmp_table):
cur = conn.cursor()
diff = cur.execute("select count(*) from %s as A, %s as B where A.id = B.id and A.fm <> B.fm" % (vertex_table, tmp_table))
diff = cur.fetchone()[0]
print diff
if diff == 0:
return True
else:
return False
def drop_if_exists(conn, table_name):
cur = conn.cursor()
cur.execute("drop table if exists %s" % table_name)
conn.commit()
cur.close()
@time_it
def summarize(conn, radius_table, dataset):
cur = conn.cursor()
drop_if_exists(conn, "tmp")
cur.execute("select radius, count(*) into tmp from %s group by radius order by radius" % radius_table)
f = open('radius_' + dataset + ".csv", 'w')
cur.copy_to(sys.stdout, "tmp", sep = '\t')
cur.copy_to(f, "tmp", sep = ',')
def compute_radius(conn, edge_table, dataset, s):
"""
edge_table: edge table
"""
print "computing radius.."
vertex_table = "vertex"
tmp_table = "tmp_v"
hop_table = "hops"
tmp_edge = "tmp_edge"
radius_table = "radius_" + dataset
cur = conn.cursor()
drop_if_exists(conn, tmp_table)
drop_if_exists(conn, vertex_table)
drop_if_exists(conn, tmp_edge)
drop_if_exists(conn, radius_table)
drop_if_exists(conn, hop_table)
cur.execute("create table %s(src_id int, dst_id int)" % tmp_edge)
cur.execute("insert into %s select src_id, dst_id from %s" % (tmp_edge, edge_table))
cur.execute("insert into %s select src_id, src_id from %s group by src_id except select src_id, dst_id from %s" % (tmp_edge, edge_table, edge_table))
#cur.execute("insert into %s select dst_id, dst_id from %s where dst_id not in (select src_id from %s) group by dst_id" % (tmp_edge, edge_table, edge_table))
#cur.execute("drop index if exists radius_index ")
#cur.execute("create index radius_index on %s (src_id) " % edge_table)
cur.execute("create table %s(id int, fm int[])" % vertex_table)
cur.execute("create table %s(id int, fm int[])" % tmp_table)
cur.execute("create table %s(id int, radius int)" % hop_table)
cur.execute("create table %s(id int, radius int)" % radius_table)
cur.execute("insert into %s select src_id, 0 from %s group by src_id" % (hop_table, tmp_edge))
cur.execute("drop index if exists edge_src_index")
cur.execute("drop index if exists edge_dst_index")
cur.execute("drop index if exists vertex_index")
cur.execute("drop index if exists tmp_index")
cur.execute("create index edge_src_index on %s (src_id)" % tmp_edge)
cur.execute("create index edge_dst_index on %s(dst_id)" % tmp_edge)
conn.commit()
assign_fm(conn, vertex_table, tmp_edge, s)
cur.execute("insert into %s select * from %s" % (tmp_table, vertex_table))
cur.execute("create index vertex_index on %s (id)" % vertex_table)
cur.execute("create index tmp_index on %s (id)" % tmp_table)
conn.commit()
print "initialized.."
max_iteration = 256
for i in range(max_iteration):
print "iteration %d" % i
if (i != 0):
# cur.execute("delete from %s" % vertex_table)
# cur.execute("insert into %s select * from %s" % (vertex_table, tmp_table))
cur.execute("update %s as A set fm = B.fm from %s as B where A.id = B.id" % (vertex_table, tmp_table))
conn.commit()
update_bitstring(conn, tmp_edge, vertex_table, tmp_table)
if (is_stablized(conn, vertex_table, tmp_table)):
break
cur.execute("insert into %s (select A.id, %d from %s as A, %s as B where A.id = B.id and A.fm <> B.fm)" % (hop_table, i + 1, vertex_table, tmp_table))
cur.execute("insert into %s select id, max(radius) from %s group by id" %(radius_table, hop_table))
cur.execute("insert into %s select distinct dst_id, 0 from %s except (select distinct src_id, 0 from %s)" % (radius_table, edge_table, edge_table))
conn.commit()
summarize(conn, radius_table, dataset)
drop_if_exists(conn, tmp_table)
drop_if_exists(conn, vertex_table)
drop_if_exists(conn, tmp_edge)
drop_if_exists(conn, hop_table)
cur.close()
conn.close()
|
mit
|
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CatherineWong/zxing-glass
|
cpp/scons/scons-local-2.0.0.final.0/SCons/Tool/bcc32.py
|
34
|
2986
|
"""SCons.Tool.bcc32
XXX
"""
#
# Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010 The SCons Foundation
#
# 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.
#
__revision__ = "src/engine/SCons/Tool/bcc32.py 5023 2010/06/14 22:05:46 scons"
import os
import os.path
import SCons.Defaults
import SCons.Tool
import SCons.Util
def findIt(program, env):
# First search in the SCons path and then the OS path:
borwin = env.WhereIs(program) or SCons.Util.WhereIs(program)
if borwin:
dir = os.path.dirname(borwin)
env.PrependENVPath('PATH', dir)
return borwin
def generate(env):
findIt('bcc32', env)
"""Add Builders and construction variables for bcc to an
Environment."""
static_obj, shared_obj = SCons.Tool.createObjBuilders(env)
for suffix in ['.c', '.cpp']:
static_obj.add_action(suffix, SCons.Defaults.CAction)
shared_obj.add_action(suffix, SCons.Defaults.ShCAction)
static_obj.add_emitter(suffix, SCons.Defaults.StaticObjectEmitter)
shared_obj.add_emitter(suffix, SCons.Defaults.SharedObjectEmitter)
env['CC'] = 'bcc32'
env['CCFLAGS'] = SCons.Util.CLVar('')
env['CFLAGS'] = SCons.Util.CLVar('')
env['CCCOM'] = '$CC -q $CFLAGS $CCFLAGS $CPPFLAGS $_CPPDEFFLAGS $_CPPINCFLAGS -c -o$TARGET $SOURCES'
env['SHCC'] = '$CC'
env['SHCCFLAGS'] = SCons.Util.CLVar('$CCFLAGS')
env['SHCFLAGS'] = SCons.Util.CLVar('$CFLAGS')
env['SHCCCOM'] = '$SHCC -WD $SHCFLAGS $SHCCFLAGS $CPPFLAGS $_CPPDEFFLAGS $_CPPINCFLAGS -c -o$TARGET $SOURCES'
env['CPPDEFPREFIX'] = '-D'
env['CPPDEFSUFFIX'] = ''
env['INCPREFIX'] = '-I'
env['INCSUFFIX'] = ''
env['SHOBJSUFFIX'] = '.dll'
env['STATIC_AND_SHARED_OBJECTS_ARE_THE_SAME'] = 0
env['CFILESUFFIX'] = '.cpp'
def exists(env):
return findIt('bcc32', env)
# Local Variables:
# tab-width:4
# indent-tabs-mode:nil
# End:
# vim: set expandtab tabstop=4 shiftwidth=4:
|
apache-2.0
|
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eabatalov/au-linux-kernel-autumn-2017
|
linux/tools/perf/python/tracepoint.py
|
270
|
1465
|
#! /usr/bin/python
# -*- python -*-
# -*- coding: utf-8 -*-
import perf
class tracepoint(perf.evsel):
def __init__(self, sys, name):
config = perf.tracepoint(sys, name)
perf.evsel.__init__(self,
type = perf.TYPE_TRACEPOINT,
config = config,
freq = 0, sample_period = 1, wakeup_events = 1,
sample_type = perf.SAMPLE_PERIOD | perf.SAMPLE_TID | perf.SAMPLE_CPU | perf.SAMPLE_RAW | perf.SAMPLE_TIME)
def main():
tp = tracepoint("sched", "sched_switch")
cpus = perf.cpu_map()
threads = perf.thread_map(-1)
evlist = perf.evlist(cpus, threads)
evlist.add(tp)
evlist.open()
evlist.mmap()
while True:
evlist.poll(timeout = -1)
for cpu in cpus:
event = evlist.read_on_cpu(cpu)
if not event:
continue
if not isinstance(event, perf.sample_event):
continue
print "time %u prev_comm=%s prev_pid=%d prev_prio=%d prev_state=0x%x ==> next_comm=%s next_pid=%d next_prio=%d" % (
event.sample_time,
event.prev_comm,
event.prev_pid,
event.prev_prio,
event.prev_state,
event.next_comm,
event.next_pid,
event.next_prio)
if __name__ == '__main__':
main()
|
gpl-3.0
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] |
vponomaryov/manila
|
manila/tests/network/linux/test_ovs_lib.py
|
4
|
2879
|
# Copyright 2014 Mirantis Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import mock
from manila.network.linux import ovs_lib
from manila import test
class OVS_Lib_Test(test.TestCase):
"""A test suite to exercise the OVS libraries."""
def setUp(self):
super(OVS_Lib_Test, self).setUp()
self.BR_NAME = "br-int"
self.TO = "--timeout=2"
self.br = ovs_lib.OVSBridge(self.BR_NAME)
self.execute_p = mock.patch('manila.utils.execute')
self.execute = self.execute_p.start()
def tearDown(self):
self.execute_p.stop()
super(OVS_Lib_Test, self).tearDown()
def test_reset_bridge(self):
self.br.reset_bridge()
self.execute.assert_has_calls([mock.call("ovs-vsctl", self.TO, "--",
"--if-exists", "del-br",
self.BR_NAME,
run_as_root=True),
mock.call("ovs-vsctl", self.TO,
"add-br",
self.BR_NAME,
run_as_root=True)])
def test_delete_port(self):
pname = "tap5"
self.br.delete_port(pname)
self.execute.assert_called_once_with("ovs-vsctl", self.TO, "--",
"--if-exists", "del-port",
self.BR_NAME, pname,
run_as_root=True)
def test_port_id_regex(self):
result = ('external_ids : {attached-mac="fa:16:3e:23:5b:f2",'
' iface-id="5c1321a7-c73f-4a77-95e6-9f86402e5c8f",'
' iface-status=active}\nname :'
' "dhc5c1321a7-c7"\nofport : 2\n')
match = self.br.re_id.search(result)
vif_mac = match.group('vif_mac')
vif_id = match.group('vif_id')
port_name = match.group('port_name')
ofport = int(match.group('ofport'))
self.assertEqual('fa:16:3e:23:5b:f2', vif_mac)
self.assertEqual('5c1321a7-c73f-4a77-95e6-9f86402e5c8f', vif_id)
self.assertEqual('dhc5c1321a7-c7', port_name)
self.assertEqual(2, ofport)
|
apache-2.0
|
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thomasvs/morituri
|
examples/readhtoa.py
|
2
|
1662
|
# -*- Mode: Python -*-
# vi:si:et:sw=4:sts=4:ts=4
import os
import sys
import optparse
import tempfile
import shutil
from morituri.common import task, checksum, log
from morituri.program import cdrdao, cdparanoia
import gobject
gobject.threads_init()
def main():
log.init()
parser = optparse.OptionParser()
default = 0
parser.add_option('-o', '--offset',
action="store", dest="offset",
help="sample offset (defaults to %d)" % default,
default=default)
options, args = parser.parse_args(sys.argv[1:])
runner = task.SyncRunner()
# first do a simple TOC scan
t = cdrdao.ReadTOCTask()
runner.run(t)
toc = t.table
offset = t.table.tracks[0].getIndex(1).absolute
if offset < 150:
print 'Disc is unlikely to have Hidden Track One Audio.'
else:
print 'Disc seems to have a %d frame HTOA.' % offset
# now do a more extensive scan
t = cdrdao.ReadTableTask()
runner.run(t)
# now check if we have a hidden track one audio
track = t.table.tracks[0]
try:
index = track.getIndex(0)
except KeyError:
print 'No Hidden Track One Audio found.'
return
start = index.absolute
stop = track.getIndex(1).absolute
print 'Found Hidden Track One Audio from frame %d to %d' % (start, stop)
# rip it
riptask = cdparanoia.ReadVerifyTrackTask('track00.wav', t.table,
start, stop - 1,
offset=int(options.offset))
runner.run(riptask)
print 'runner done'
if riptask.checksum is not None:
print 'Checksums match'
else:
print 'Checksums did not match'
main()
|
gpl-3.0
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trondhindenes/ansible
|
lib/ansible/plugins/action/enos.py
|
21
|
3504
|
# (C) 2017 Red Hat Inc.
# Copyright (C) 2017 Lenovo.
#
# GNU General Public License v3.0+
#
# 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.
#
# (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
#
# Contains Action Plugin methods for ENOS Config Module
# Lenovo Networking
#
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import sys
import copy
from ansible import constants as C
from ansible.plugins.action.normal import ActionModule as _ActionModule
from ansible.module_utils.network.enos.enos import enos_provider_spec
from ansible.module_utils.network.common.utils import load_provider
from ansible.module_utils.connection import Connection
from ansible.module_utils._text import to_text
try:
from __main__ import display
except ImportError:
from ansible.utils.display import Display
display = Display()
class ActionModule(_ActionModule):
def run(self, tmp=None, task_vars=None):
del tmp # tmp no longer has any effect
socket_path = None
if self._play_context.connection == 'local':
provider = load_provider(enos_provider_spec, self._task.args)
pc = copy.deepcopy(self._play_context)
pc.connection = 'network_cli'
pc.network_os = 'enos'
pc.remote_addr = provider['host'] or self._play_context.remote_addr
pc.port = provider['port'] or self._play_context.port or 22
pc.remote_user = provider['username'] or self._play_context.connection_user
pc.password = provider['password'] or self._play_context.password
pc.private_key_file = provider['ssh_keyfile'] or self._play_context.private_key_file
command_timeout = int(provider['timeout'] or C.PERSISTENT_COMMAND_TIMEOUT)
pc.become = provider['authorize'] or True
pc.become_pass = provider['auth_pass']
pc.become_method = 'enable'
display.vvv('using connection plugin %s (was local)' % pc.connection, pc.remote_addr)
connection = self._shared_loader_obj.connection_loader.get('persistent', pc, sys.stdin)
connection.set_options(direct={'persistent_command_timeout': command_timeout})
socket_path = connection.run()
display.vvvv('socket_path: %s' % socket_path, pc.remote_addr)
if not socket_path:
return {'failed': True,
'msg': 'unable to open shell. Please see: ' +
'https://docs.ansible.com/ansible/network_debug_troubleshooting.html#unable-to-open-shell'}
task_vars['ansible_socket'] = socket_path
# make sure we are in the right cli context which should be
# enable mode and not config module or exec mode
if socket_path is None:
socket_path = self._connection.socket_path
conn = Connection(socket_path)
out = conn.get_prompt()
if to_text(out, errors='surrogate_then_replace').strip().endswith(')#'):
display.vvvv('In Config mode, sending exit to device', self._play_context.remote_addr)
conn.send_command('exit')
else:
conn.send_command('enable')
result = super(ActionModule, self).run(task_vars=task_vars)
return result
|
gpl-3.0
|
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hwroitzsch/BikersLifeSaver
|
local/share/OpenCV/samples/python/video_threaded.py
|
5
|
2365
|
#!/usr/bin/env python
'''
Multithreaded video processing sample.
Usage:
video_threaded.py {<video device number>|<video file name>}
Shows how python threading capabilities can be used
to organize parallel captured frame processing pipeline
for smoother playback.
Keyboard shortcuts:
ESC - exit
space - switch between multi and single threaded processing
'''
# Python 2/3 compatibility
from __future__ import print_function
import numpy as np
import cv2
from multiprocessing.pool import ThreadPool
from collections import deque
from common import clock, draw_str, StatValue
import video
class DummyTask:
def __init__(self, data):
self.data = data
def ready(self):
return True
def get(self):
return self.data
if __name__ == '__main__':
import sys
print(__doc__)
try:
fn = sys.argv[1]
except:
fn = 0
cap = video.create_capture(fn)
def process_frame(frame, t0):
# some intensive computation...
frame = cv2.medianBlur(frame, 19)
frame = cv2.medianBlur(frame, 19)
return frame, t0
threadn = cv2.getNumberOfCPUs()
pool = ThreadPool(processes = threadn)
pending = deque()
threaded_mode = True
latency = StatValue()
frame_interval = StatValue()
last_frame_time = clock()
while True:
while len(pending) > 0 and pending[0].ready():
res, t0 = pending.popleft().get()
latency.update(clock() - t0)
draw_str(res, (20, 20), "threaded : " + str(threaded_mode))
draw_str(res, (20, 40), "latency : %.1f ms" % (latency.value*1000))
draw_str(res, (20, 60), "frame interval : %.1f ms" % (frame_interval.value*1000))
cv2.imshow('threaded video', res)
if len(pending) < threadn:
ret, frame = cap.read()
t = clock()
frame_interval.update(t - last_frame_time)
last_frame_time = t
if threaded_mode:
task = pool.apply_async(process_frame, (frame.copy(), t))
else:
task = DummyTask(process_frame(frame, t))
pending.append(task)
ch = 0xFF & cv2.waitKey(1)
if ch == ord(' '):
threaded_mode = not threaded_mode
if ch == 27:
break
cv2.destroyAllWindows()
|
mit
|
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py-geek/City-Air
|
venv/lib/python2.7/site-packages/pymysql/err.py
|
29
|
4025
|
import struct
from .constants import ER
class MySQLError(Exception):
"""Exception related to operation with MySQL."""
class Warning(Warning, MySQLError):
"""Exception raised for important warnings like data truncations
while inserting, etc."""
class Error(MySQLError):
"""Exception that is the base class of all other error exceptions
(not Warning)."""
class InterfaceError(Error):
"""Exception raised for errors that are related to the database
interface rather than the database itself."""
class DatabaseError(Error):
"""Exception raised for errors that are related to the
database."""
class DataError(DatabaseError):
"""Exception raised for errors that are due to problems with the
processed data like division by zero, numeric value out of range,
etc."""
class OperationalError(DatabaseError):
"""Exception raised for errors that are related to the database's
operation and not necessarily under the control of the programmer,
e.g. an unexpected disconnect occurs, the data source name is not
found, a transaction could not be processed, a memory allocation
error occurred during processing, etc."""
class IntegrityError(DatabaseError):
"""Exception raised when the relational integrity of the database
is affected, e.g. a foreign key check fails, duplicate key,
etc."""
class InternalError(DatabaseError):
"""Exception raised when the database encounters an internal
error, e.g. the cursor is not valid anymore, the transaction is
out of sync, etc."""
class ProgrammingError(DatabaseError):
"""Exception raised for programming errors, e.g. table not found
or already exists, syntax error in the SQL statement, wrong number
of parameters specified, etc."""
class NotSupportedError(DatabaseError):
"""Exception raised in case a method or database API was used
which is not supported by the database, e.g. requesting a
.rollback() on a connection that does not support transaction or
has transactions turned off."""
error_map = {}
def _map_error(exc, *errors):
for error in errors:
error_map[error] = exc
_map_error(ProgrammingError, ER.DB_CREATE_EXISTS, ER.SYNTAX_ERROR,
ER.PARSE_ERROR, ER.NO_SUCH_TABLE, ER.WRONG_DB_NAME,
ER.WRONG_TABLE_NAME, ER.FIELD_SPECIFIED_TWICE,
ER.INVALID_GROUP_FUNC_USE, ER.UNSUPPORTED_EXTENSION,
ER.TABLE_MUST_HAVE_COLUMNS, ER.CANT_DO_THIS_DURING_AN_TRANSACTION)
_map_error(DataError, ER.WARN_DATA_TRUNCATED, ER.WARN_NULL_TO_NOTNULL,
ER.WARN_DATA_OUT_OF_RANGE, ER.NO_DEFAULT, ER.PRIMARY_CANT_HAVE_NULL,
ER.DATA_TOO_LONG, ER.DATETIME_FUNCTION_OVERFLOW)
_map_error(IntegrityError, ER.DUP_ENTRY, ER.NO_REFERENCED_ROW,
ER.NO_REFERENCED_ROW_2, ER.ROW_IS_REFERENCED, ER.ROW_IS_REFERENCED_2,
ER.CANNOT_ADD_FOREIGN, ER.BAD_NULL_ERROR)
_map_error(NotSupportedError, ER.WARNING_NOT_COMPLETE_ROLLBACK,
ER.NOT_SUPPORTED_YET, ER.FEATURE_DISABLED, ER.UNKNOWN_STORAGE_ENGINE)
_map_error(OperationalError, ER.DBACCESS_DENIED_ERROR, ER.ACCESS_DENIED_ERROR,
ER.CON_COUNT_ERROR, ER.TABLEACCESS_DENIED_ERROR,
ER.COLUMNACCESS_DENIED_ERROR)
del _map_error, ER
def _get_error_info(data):
errno = struct.unpack('<h', data[1:3])[0]
is_41 = data[3:4] == b"#"
if is_41:
# version 4.1
sqlstate = data[4:9].decode("utf8", 'replace')
errorvalue = data[9:].decode("utf8", 'replace')
return (errno, sqlstate, errorvalue)
else:
# version 4.0
return (errno, None, data[3:].decode("utf8", 'replace'))
def _check_mysql_exception(errinfo):
errno, sqlstate, errorvalue = errinfo
errorclass = error_map.get(errno, None)
if errorclass:
raise errorclass(errno, errorvalue)
# couldn't find the right error number
raise InternalError(errno, errorvalue)
def raise_mysql_exception(data):
errinfo = _get_error_info(data)
_check_mysql_exception(errinfo)
|
mit
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aroche/django
|
django/core/cache/backends/locmem.py
|
586
|
4287
|
"Thread-safe in-memory cache backend."
import time
from contextlib import contextmanager
from django.core.cache.backends.base import DEFAULT_TIMEOUT, BaseCache
from django.utils.synch import RWLock
try:
from django.utils.six.moves import cPickle as pickle
except ImportError:
import pickle
# Global in-memory store of cache data. Keyed by name, to provide
# multiple named local memory caches.
_caches = {}
_expire_info = {}
_locks = {}
@contextmanager
def dummy():
"""A context manager that does nothing special."""
yield
class LocMemCache(BaseCache):
def __init__(self, name, params):
BaseCache.__init__(self, params)
self._cache = _caches.setdefault(name, {})
self._expire_info = _expire_info.setdefault(name, {})
self._lock = _locks.setdefault(name, RWLock())
def add(self, key, value, timeout=DEFAULT_TIMEOUT, version=None):
key = self.make_key(key, version=version)
self.validate_key(key)
pickled = pickle.dumps(value, pickle.HIGHEST_PROTOCOL)
with self._lock.writer():
if self._has_expired(key):
self._set(key, pickled, timeout)
return True
return False
def get(self, key, default=None, version=None, acquire_lock=True):
key = self.make_key(key, version=version)
self.validate_key(key)
pickled = None
with (self._lock.reader() if acquire_lock else dummy()):
if not self._has_expired(key):
pickled = self._cache[key]
if pickled is not None:
try:
return pickle.loads(pickled)
except pickle.PickleError:
return default
with (self._lock.writer() if acquire_lock else dummy()):
try:
del self._cache[key]
del self._expire_info[key]
except KeyError:
pass
return default
def _set(self, key, value, timeout=DEFAULT_TIMEOUT):
if len(self._cache) >= self._max_entries:
self._cull()
self._cache[key] = value
self._expire_info[key] = self.get_backend_timeout(timeout)
def set(self, key, value, timeout=DEFAULT_TIMEOUT, version=None):
key = self.make_key(key, version=version)
self.validate_key(key)
pickled = pickle.dumps(value, pickle.HIGHEST_PROTOCOL)
with self._lock.writer():
self._set(key, pickled, timeout)
def incr(self, key, delta=1, version=None):
with self._lock.writer():
value = self.get(key, version=version, acquire_lock=False)
if value is None:
raise ValueError("Key '%s' not found" % key)
new_value = value + delta
key = self.make_key(key, version=version)
pickled = pickle.dumps(new_value, pickle.HIGHEST_PROTOCOL)
self._cache[key] = pickled
return new_value
def has_key(self, key, version=None):
key = self.make_key(key, version=version)
self.validate_key(key)
with self._lock.reader():
if not self._has_expired(key):
return True
with self._lock.writer():
try:
del self._cache[key]
del self._expire_info[key]
except KeyError:
pass
return False
def _has_expired(self, key):
exp = self._expire_info.get(key, -1)
if exp is None or exp > time.time():
return False
return True
def _cull(self):
if self._cull_frequency == 0:
self.clear()
else:
doomed = [k for (i, k) in enumerate(self._cache) if i % self._cull_frequency == 0]
for k in doomed:
self._delete(k)
def _delete(self, key):
try:
del self._cache[key]
except KeyError:
pass
try:
del self._expire_info[key]
except KeyError:
pass
def delete(self, key, version=None):
key = self.make_key(key, version=version)
self.validate_key(key)
with self._lock.writer():
self._delete(key)
def clear(self):
self._cache.clear()
self._expire_info.clear()
|
bsd-3-clause
|
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shayanb/pycoin
|
pycoin/encoding.py
|
14
|
10776
|
# -*- coding: utf-8 -*-
"""
Various utilities useful for converting one Bitcoin format to another, including some
the human-transcribable format hashed_base58.
The MIT License (MIT)
Copyright (c) 2013 by Richard Kiss
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.
"""
import hashlib
from .intbytes import byte_to_int, bytes_from_int
BASE58_ALPHABET = b'123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz'
BASE58_BASE = len(BASE58_ALPHABET)
BASE58_LOOKUP = dict((c, i) for i, c in enumerate(BASE58_ALPHABET))
class EncodingError(Exception):
pass
def ripemd160(data):
return hashlib.new("ripemd160", data)
try:
ripemd160(b'').digest()
except Exception:
# stupid Google App Engine hashlib doesn't support ripemd160 for some stupid reason
# import it from pycrypto. You need to add
# - name: pycrypto
# version: "latest"
# to the "libraries" section of your app.yaml
from Crypto.Hash.RIPEMD import RIPEMD160Hash as ripemd160
def to_long(base, lookup_f, s):
"""
Convert an array to a (possibly bignum) integer, along with a prefix value
of how many prefixed zeros there are.
base:
the source base
lookup_f:
a function to convert an element of s to a value between 0 and base-1.
s:
the value to convert
"""
prefix = 0
v = 0
for c in s:
v *= base
try:
v += lookup_f(c)
except Exception:
raise EncodingError("bad character %s in string %s" % (c, s))
if v == 0:
prefix += 1
return v, prefix
def from_long(v, prefix, base, charset):
"""The inverse of to_long. Convert an integer to an arbitrary base.
v: the integer value to convert
prefix: the number of prefixed 0s to include
base: the new base
charset: an array indicating what printable character to use for each value.
"""
l = bytearray()
while v > 0:
try:
v, mod = divmod(v, base)
l.append(charset(mod))
except Exception:
raise EncodingError("can't convert to character corresponding to %d" % mod)
l.extend([charset(0)] * prefix)
l.reverse()
return bytes(l)
def to_bytes_32(v):
v = from_long(v, 0, 256, lambda x: x)
if len(v) > 32:
raise ValueError("input to to_bytes_32 is too large")
return ((b'\0' * 32) + v)[-32:]
if hasattr(int, "to_bytes"):
to_bytes_32 = lambda v: v.to_bytes(32, byteorder="big")
def from_bytes_32(v):
if len(v) != 32:
raise ValueError("input to from_bytes_32 is wrong length")
return to_long(256, byte_to_int, v)[0]
if hasattr(int, "from_bytes"):
from_bytes_32 = lambda v: int.from_bytes(v, byteorder="big")
def double_sha256(data):
"""A standard compound hash."""
return hashlib.sha256(hashlib.sha256(data).digest()).digest()
def hash160(data):
"""A standard compound hash."""
return ripemd160(hashlib.sha256(data).digest()).digest()
def b2a_base58(s):
"""Convert binary to base58 using BASE58_ALPHABET. Like Bitcoin addresses."""
v, prefix = to_long(256, byte_to_int, s)
s = from_long(v, prefix, BASE58_BASE, lambda v: BASE58_ALPHABET[v])
return s.decode("utf8")
def a2b_base58(s):
"""Convert base58 to binary using BASE58_ALPHABET."""
v, prefix = to_long(BASE58_BASE, lambda c: BASE58_LOOKUP[c], s.encode("utf8"))
return from_long(v, prefix, 256, lambda x: x)
def b2a_hashed_base58(data):
"""
A "hashed_base58" structure is a base58 integer (which looks like a string)
with four bytes of hash data at the end. Bitcoin does this in several places,
including Bitcoin addresses.
This function turns data (of type "bytes") into its hashed_base58 equivalent.
"""
return b2a_base58(data + double_sha256(data)[:4])
def a2b_hashed_base58(s):
"""
If the passed string is hashed_base58, return the binary data.
Otherwise raises an EncodingError.
"""
data = a2b_base58(s)
data, the_hash = data[:-4], data[-4:]
if double_sha256(data)[:4] == the_hash:
return data
raise EncodingError("hashed base58 has bad checksum %s" % s)
def is_hashed_base58_valid(base58):
"""Return True if and only if base58 is valid hashed_base58."""
try:
a2b_hashed_base58(base58)
except EncodingError:
return False
return True
def wif_to_tuple_of_prefix_secret_exponent_compressed(wif):
"""
Return a tuple of (prefix, secret_exponent, is_compressed).
"""
decoded = a2b_hashed_base58(wif)
actual_prefix, private_key = decoded[:1], decoded[1:]
compressed = len(private_key) > 32
return actual_prefix, from_bytes_32(private_key[:32]), compressed
def wif_to_tuple_of_secret_exponent_compressed(wif, allowable_wif_prefixes=[b'\x80']):
"""Convert a WIF string to the corresponding secret exponent. Private key manipulation.
Returns a tuple: the secret exponent, as a bignum integer, and a boolean indicating if the
WIF corresponded to a compressed key or not.
Not that it matters, since we can use the secret exponent to generate both the compressed
and uncompressed Bitcoin address."""
actual_prefix, secret_exponent, is_compressed = wif_to_tuple_of_prefix_secret_exponent_compressed(wif)
if actual_prefix not in allowable_wif_prefixes:
raise EncodingError("unexpected first byte of WIF %s" % wif)
return secret_exponent, is_compressed
def wif_to_secret_exponent(wif, allowable_wif_prefixes=[b'\x80']):
"""Convert a WIF string to the corresponding secret exponent."""
return wif_to_tuple_of_secret_exponent_compressed(wif, allowable_wif_prefixes=allowable_wif_prefixes)[0]
def is_valid_wif(wif, allowable_wif_prefixes=[b'\x80']):
"""Return a boolean indicating if the WIF is valid."""
try:
wif_to_secret_exponent(wif, allowable_wif_prefixes=allowable_wif_prefixes)
except EncodingError:
return False
return True
def secret_exponent_to_wif(secret_exp, compressed=True, wif_prefix=b'\x80'):
"""Convert a secret exponent (correspdong to a private key) to WIF format."""
d = wif_prefix + to_bytes_32(secret_exp)
if compressed:
d += b'\01'
return b2a_hashed_base58(d)
def public_pair_to_sec(public_pair, compressed=True):
"""Convert a public pair (a pair of bignums corresponding to a public key) to the
gross internal sec binary format used by OpenSSL."""
x_str = to_bytes_32(public_pair[0])
if compressed:
return bytes_from_int((2 + (public_pair[1] & 1))) + x_str
y_str = to_bytes_32(public_pair[1])
return b'\4' + x_str + y_str
def sec_to_public_pair(sec):
"""Convert a public key in sec binary format to a public pair."""
x = from_bytes_32(sec[1:33])
sec0 = sec[:1]
if sec0 == b'\4':
y = from_bytes_32(sec[33:65])
from .ecdsa import generator_secp256k1, is_public_pair_valid
public_pair = (x, y)
# verify this is on the curve
if not is_public_pair_valid(generator_secp256k1, public_pair):
raise EncodingError("invalid (x, y) pair")
return public_pair
if sec0 in (b'\2', b'\3'):
from .ecdsa import public_pair_for_x, generator_secp256k1
return public_pair_for_x(generator_secp256k1, x, is_even=(sec0 == b'\2'))
raise EncodingError("bad sec encoding for public key")
def is_sec_compressed(sec):
"""Return a boolean indicating if the sec represents a compressed public key."""
return sec[:1] in (b'\2', b'\3')
def public_pair_to_hash160_sec(public_pair, compressed=True):
"""Convert a public_pair (corresponding to a public key) to hash160_sec format.
This is a hash of the sec representation of a public key, and is used to generate
the corresponding Bitcoin address."""
return hash160(public_pair_to_sec(public_pair, compressed=compressed))
def hash160_sec_to_bitcoin_address(hash160_sec, address_prefix=b'\0'):
"""Convert the hash160 of a sec version of a public_pair to a Bitcoin address."""
return b2a_hashed_base58(address_prefix + hash160_sec)
def bitcoin_address_to_hash160_sec_with_prefix(bitcoin_address):
"""
Convert a Bitcoin address back to the hash160_sec format and
also return the prefix.
"""
blob = a2b_hashed_base58(bitcoin_address)
if len(blob) != 21:
raise EncodingError("incorrect binary length (%d) for Bitcoin address %s" %
(len(blob), bitcoin_address))
if blob[:1] not in [b'\x6f', b'\0']:
raise EncodingError("incorrect first byte (%s) for Bitcoin address %s" % (blob[0], bitcoin_address))
return blob[1:], blob[:1]
def bitcoin_address_to_hash160_sec(bitcoin_address, address_prefix=b'\0'):
"""Convert a Bitcoin address back to the hash160_sec format of the public key.
Since we only know the hash of the public key, we can't get the full public key back."""
hash160, actual_prefix = bitcoin_address_to_hash160_sec_with_prefix(bitcoin_address)
if (address_prefix == actual_prefix):
return hash160
raise EncodingError("Bitcoin address %s for wrong network" % bitcoin_address)
def public_pair_to_bitcoin_address(public_pair, compressed=True, address_prefix=b'\0'):
"""Convert a public_pair (corresponding to a public key) to a Bitcoin address."""
return hash160_sec_to_bitcoin_address(public_pair_to_hash160_sec(
public_pair, compressed=compressed), address_prefix=address_prefix)
def is_valid_bitcoin_address(bitcoin_address, allowable_prefixes=b'\0'):
"""Return True if and only if bitcoin_address is valid."""
try:
hash160, prefix = bitcoin_address_to_hash160_sec_with_prefix(bitcoin_address)
except EncodingError:
return False
return prefix in allowable_prefixes
|
mit
|
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rcarrillocruz/ansible
|
lib/ansible/modules/files/tempfile.py
|
17
|
3614
|
#!/usr/bin/python
#coding: utf-8 -*-
# (c) 2016 Krzysztof Magosa <krzysztof@magosa.pl>
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
ANSIBLE_METADATA = {'metadata_version': '1.0',
'status': ['preview'],
'supported_by': 'community'}
DOCUMENTATION = '''
---
module: tempfile
version_added: "2.3"
author:
- Krzysztof Magosa
short_description: Creates temporary files and directories.
description:
- The C(tempfile) module creates temporary files and directories. C(mktemp) command takes different parameters on various systems, this module helps
to avoid troubles related to that. Files/directories created by module are accessible only by creator. In case you need to make them world-accessible
you need to use M(file) module.
- For Windows targets, use the M(win_tempfile) module instead.
options:
state:
description:
- Whether to create file or directory.
required: false
choices: [ "file", "directory" ]
default: file
path:
description:
- Location where temporary file or directory should be created. If path is not specified default system temporary directory will be used.
required: false
default: null
prefix:
description:
- Prefix of file/directory name created by module.
required: false
default: ansible.
suffix:
description:
- Suffix of file/directory name created by module.
required: false
default: ""
notes:
- For Windows targets, use the M(win_tempfile) module instead.
'''
EXAMPLES = """
- name: create temporary build directory
tempfile:
state: directory
suffix: build
- name: create temporary file
tempfile:
state: file
suffix: temp
"""
RETURN = '''
path:
description: Path to created file or directory
returned: success
type: string
sample: "/tmp/ansible.bMlvdk"
'''
from ansible.module_utils.basic import AnsibleModule
from ansible.module_utils.pycompat24 import get_exception
from tempfile import mkstemp, mkdtemp
from os import close
def main():
module = AnsibleModule(
argument_spec = dict(
state = dict(default='file', choices=['file', 'directory']),
path = dict(default=None),
prefix = dict(default='ansible.'),
suffix = dict(default='')
)
)
try:
if module.params['state'] == 'file':
handle, path = mkstemp(
prefix=module.params['prefix'],
suffix=module.params['suffix'],
dir=module.params['path']
)
close(handle)
elif module.params['state'] == 'directory':
path = mkdtemp(
prefix=module.params['prefix'],
suffix=module.params['suffix'],
dir=module.params['path']
)
module.exit_json(changed=True, path=path)
except Exception:
e = get_exception()
module.fail_json(msg=str(e))
if __name__ == '__main__':
main()
|
gpl-3.0
|
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ronasimi/aosp-kernel_lge_geeb
|
tools/perf/python/twatch.py
|
7370
|
1334
|
#! /usr/bin/python
# -*- python -*-
# -*- coding: utf-8 -*-
# twatch - Experimental use of the perf python interface
# Copyright (C) 2011 Arnaldo Carvalho de Melo <acme@redhat.com>
#
# This application 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; version 2.
#
# This application 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.
import perf
def main():
cpus = perf.cpu_map()
threads = perf.thread_map()
evsel = perf.evsel(task = 1, comm = 1, mmap = 0,
wakeup_events = 1, watermark = 1,
sample_id_all = 1,
sample_type = perf.SAMPLE_PERIOD | perf.SAMPLE_TID | perf.SAMPLE_CPU | perf.SAMPLE_TID)
evsel.open(cpus = cpus, threads = threads);
evlist = perf.evlist(cpus, threads)
evlist.add(evsel)
evlist.mmap()
while True:
evlist.poll(timeout = -1)
for cpu in cpus:
event = evlist.read_on_cpu(cpu)
if not event:
continue
print "cpu: %2d, pid: %4d, tid: %4d" % (event.sample_cpu,
event.sample_pid,
event.sample_tid),
print event
if __name__ == '__main__':
main()
|
gpl-2.0
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miguelfervi/SSBW-Restaurantes
|
restaurantes/lib/python2.7/site-packages/django/core/servers/basehttp.py
|
274
|
7319
|
"""
HTTP server that implements the Python WSGI protocol (PEP 333, rev 1.21).
Based on wsgiref.simple_server which is part of the standard library since 2.5.
This is a simple server for use in testing or debugging Django apps. It hasn't
been reviewed for security issues. DON'T USE IT FOR PRODUCTION USE!
"""
from __future__ import unicode_literals
import socket
import sys
from wsgiref import simple_server
from django.core.exceptions import ImproperlyConfigured
from django.core.handlers.wsgi import ISO_8859_1, UTF_8
from django.core.management.color import color_style
from django.core.wsgi import get_wsgi_application
from django.utils import six
from django.utils.encoding import uri_to_iri
from django.utils.module_loading import import_string
from django.utils.six.moves import socketserver
__all__ = ('WSGIServer', 'WSGIRequestHandler')
def get_internal_wsgi_application():
"""
Loads and returns the WSGI application as configured by the user in
``settings.WSGI_APPLICATION``. With the default ``startproject`` layout,
this will be the ``application`` object in ``projectname/wsgi.py``.
This function, and the ``WSGI_APPLICATION`` setting itself, are only useful
for Django's internal server (runserver); external WSGI servers should just
be configured to point to the correct application object directly.
If settings.WSGI_APPLICATION is not set (is ``None``), we just return
whatever ``django.core.wsgi.get_wsgi_application`` returns.
"""
from django.conf import settings
app_path = getattr(settings, 'WSGI_APPLICATION')
if app_path is None:
return get_wsgi_application()
try:
return import_string(app_path)
except ImportError as e:
msg = (
"WSGI application '%(app_path)s' could not be loaded; "
"Error importing module: '%(exception)s'" % ({
'app_path': app_path,
'exception': e,
})
)
six.reraise(ImproperlyConfigured, ImproperlyConfigured(msg),
sys.exc_info()[2])
def is_broken_pipe_error():
exc_type, exc_value = sys.exc_info()[:2]
return issubclass(exc_type, socket.error) and exc_value.args[0] == 32
class WSGIServer(simple_server.WSGIServer, object):
"""BaseHTTPServer that implements the Python WSGI protocol"""
request_queue_size = 10
def __init__(self, *args, **kwargs):
if kwargs.pop('ipv6', False):
self.address_family = socket.AF_INET6
super(WSGIServer, self).__init__(*args, **kwargs)
def server_bind(self):
"""Override server_bind to store the server name."""
super(WSGIServer, self).server_bind()
self.setup_environ()
def handle_error(self, request, client_address):
if is_broken_pipe_error():
sys.stderr.write("- Broken pipe from %s\n" % (client_address,))
else:
super(WSGIServer, self).handle_error(request, client_address)
# Inheriting from object required on Python 2.
class ServerHandler(simple_server.ServerHandler, object):
def handle_error(self):
# Ignore broken pipe errors, otherwise pass on
if not is_broken_pipe_error():
super(ServerHandler, self).handle_error()
class WSGIRequestHandler(simple_server.WSGIRequestHandler, object):
def __init__(self, *args, **kwargs):
self.style = color_style()
super(WSGIRequestHandler, self).__init__(*args, **kwargs)
def address_string(self):
# Short-circuit parent method to not call socket.getfqdn
return self.client_address[0]
def log_message(self, format, *args):
msg = "[%s] " % self.log_date_time_string()
try:
msg += "%s\n" % (format % args)
except UnicodeDecodeError:
# e.g. accessing the server via SSL on Python 2
msg += "\n"
# Utilize terminal colors, if available
if args[1][0] == '2':
# Put 2XX first, since it should be the common case
msg = self.style.HTTP_SUCCESS(msg)
elif args[1][0] == '1':
msg = self.style.HTTP_INFO(msg)
elif args[1] == '304':
msg = self.style.HTTP_NOT_MODIFIED(msg)
elif args[1][0] == '3':
msg = self.style.HTTP_REDIRECT(msg)
elif args[1] == '404':
msg = self.style.HTTP_NOT_FOUND(msg)
elif args[1][0] == '4':
# 0x16 = Handshake, 0x03 = SSL 3.0 or TLS 1.x
if args[0].startswith(str('\x16\x03')):
msg = ("You're accessing the development server over HTTPS, "
"but it only supports HTTP.\n")
msg = self.style.HTTP_BAD_REQUEST(msg)
else:
# Any 5XX, or any other response
msg = self.style.HTTP_SERVER_ERROR(msg)
sys.stderr.write(msg)
def get_environ(self):
# Strip all headers with underscores in the name before constructing
# the WSGI environ. This prevents header-spoofing based on ambiguity
# between underscores and dashes both normalized to underscores in WSGI
# env vars. Nginx and Apache 2.4+ both do this as well.
for k, v in self.headers.items():
if '_' in k:
del self.headers[k]
env = super(WSGIRequestHandler, self).get_environ()
path = self.path
if '?' in path:
path = path.partition('?')[0]
path = uri_to_iri(path).encode(UTF_8)
# Under Python 3, non-ASCII values in the WSGI environ are arbitrarily
# decoded with ISO-8859-1. We replicate this behavior here.
# Refs comment in `get_bytes_from_wsgi()`.
env['PATH_INFO'] = path.decode(ISO_8859_1) if six.PY3 else path
return env
def handle(self):
"""Copy of WSGIRequestHandler, but with different ServerHandler"""
self.raw_requestline = self.rfile.readline(65537)
if len(self.raw_requestline) > 65536:
self.requestline = ''
self.request_version = ''
self.command = ''
self.send_error(414)
return
if not self.parse_request(): # An error code has been sent, just exit
return
handler = ServerHandler(
self.rfile, self.wfile, self.get_stderr(), self.get_environ()
)
handler.request_handler = self # backpointer for logging
handler.run(self.server.get_app())
def run(addr, port, wsgi_handler, ipv6=False, threading=False):
server_address = (addr, port)
if threading:
httpd_cls = type(str('WSGIServer'), (socketserver.ThreadingMixIn, WSGIServer), {})
else:
httpd_cls = WSGIServer
httpd = httpd_cls(server_address, WSGIRequestHandler, ipv6=ipv6)
if threading:
# ThreadingMixIn.daemon_threads indicates how threads will behave on an
# abrupt shutdown; like quitting the server by the user or restarting
# by the auto-reloader. True means the server will not wait for thread
# termination before it quits. This will make auto-reloader faster
# and will prevent the need to kill the server manually if a thread
# isn't terminating correctly.
httpd.daemon_threads = True
httpd.set_app(wsgi_handler)
httpd.serve_forever()
|
gpl-3.0
|
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] |
python-xlib/python-xlib
|
Xlib/ext/xtest.py
|
4
|
4564
|
# Xlib.ext.xtest -- XTEST extension module
#
# Copyright (C) 2000 Peter Liljenberg <petli@ctrl-c.liu.se>
#
# 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.,
# 59 Temple Place,
# Suite 330,
# Boston, MA 02111-1307 USA
from Xlib import X
from Xlib.protocol import rq
extname = 'XTEST'
CurrentCursor = 1
class GetVersion(rq.ReplyRequest):
_request = rq.Struct(rq.Card8('opcode'),
rq.Opcode(0),
rq.RequestLength(),
rq.Card8('major_version'),
rq.Pad(1),
rq.Card16('minor_version')
)
_reply = rq.Struct(rq.Pad(1),
rq.Card8('major_version'),
rq.Card16('sequence_number'),
rq.Pad(4),
rq.Card16('minor_version'),
rq.Pad(22)
)
def get_version(self, major, minor):
return GetVersion(display = self.display,
opcode = self.display.get_extension_major(extname),
major_version = major,
minor_version = minor)
class CompareCursor(rq.ReplyRequest):
_request = rq.Struct(rq.Card8('opcode'),
rq.Opcode(1),
rq.RequestLength(),
rq.Window('window'),
rq.Cursor('cursor', (X.NONE, CurrentCursor)),
)
_reply = rq.Struct(rq.Pad(1),
rq.Card8('same'),
rq.Card16('sequence_number'),
rq.Pad(28),
)
def compare_cursor(self, cursor):
r = CompareCursor(display = self.display,
opcode = self.display.get_extension_major(extname),
window = self.id,
cursor = cursor)
return r.same
class FakeInput(rq.Request):
_request = rq.Struct(rq.Card8('opcode'),
rq.Opcode(2),
rq.RequestLength(),
rq.Set('event_type', 1, (X.KeyPress,
X.KeyRelease,
X.ButtonPress,
X.ButtonRelease,
X.MotionNotify)),
rq.Card8('detail'),
rq.Pad(2),
rq.Card32('time'),
rq.Window('root', (X.NONE, )),
rq.Pad(8),
rq.Int16('x'),
rq.Int16('y'),
rq.Pad(8)
)
def fake_input(self, event_type, detail = 0, time = X.CurrentTime,
root = X.NONE, x = 0, y = 0):
FakeInput(display = self.display,
opcode = self.display.get_extension_major(extname),
event_type = event_type,
detail = detail,
time = time,
root = root,
x = x,
y = y)
class GrabControl(rq.Request):
_request = rq.Struct(rq.Card8('opcode'),
rq.Opcode(3),
rq.RequestLength(),
rq.Bool('impervious'),
rq.Pad(3)
)
def grab_control(self, impervious):
GrabControl(display = self.display,
opcode = self.display.get_extension_major(extname),
impervious = impervious)
def init(disp, info):
disp.extension_add_method('display', 'xtest_get_version', get_version)
disp.extension_add_method('window', 'xtest_compare_cursor', compare_cursor)
disp.extension_add_method('display', 'xtest_fake_input', fake_input)
disp.extension_add_method('display', 'xtest_grab_control', grab_control)
|
lgpl-2.1
|
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subhrm/google-code-jam-solutions
|
solutions/helpers/CodeJam-0.3.0/codejam/datastructures/summing_list.py
|
1
|
1482
|
class summing_list:
layers = [[0]]
size = 0
def __init__(self, iter=None):
if iter != None:
for i in iter:
self.append(i)
def _sum(self, i):
t = 0
for r in self.layers:
if i % 2:
t += r[i - 1]
i >>= 1
return t
def sum_elements(self, i=None, j=None):
if j == None:
if i == None:
i = self.size
return self._sum(i)
else:
return self._sum(max(i, j)) - self._sum(min(i, j))
def __getitem__(self, i):
if i < self.size:
return self.layers[0][i]
else:
raise ValueError()
def __setitem__(self, i, v):
d = v - self.layers[0][i]
for r in self.layers:
r[i] += d
i >>= 1
def _double_size(self):
for r in self.layers:
r += [0] * len(r)
self.layers += [[self.layers[-1][0]]]
def __iadd__(self, iter):
for i in iter:
self.append(i)
return self
def __add__(self, x):
both = summing_list(self)
both += x
return both
def append(self, x):
self.size += 1
if self.size > len(self.layers[0]):
self._double_size()
self[self.size - 1] = x
def __repr__(self):
return self.layers[0][:self.size].__repr__()
def __iter__(self):
return iter(self.layers[0][:self.size])
|
mit
|
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mschuurman/FMSpy
|
nomad/core/atom_lib.py
|
1
|
1315
|
"""
A library containing atom widths, atomic numbers, etc.
"""
import nomad.math.constants as constants
atom_name = ['X', 'H', 'D', 'T', 'He', 'Li', 'Be', 'B', 'C', 'N', 'O', 'F',
'Ne', 'Na', 'Mg', 'Al', 'Si', 'P', 'S', 'Cl', 'Ar']
atom_width = [0.0, 4.5, 4.5, 4.5, 0.0, 0.0, 0.0, 0.0, 22.5, 19.5, 13.0, 8.5,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 17.5, 0.0, 0.0]
atom_mass = [0.000000000, 1.007825037, 2.015650074, 3.023475111, 4.00260325,
7.0160045, 9.0121825, 11.0093053, 12.0, 14.003074008, 15.99491464,
18.99840325, 19.9924391, 22.9897697, 23.9850450, 26.9815413,
27.9769284, 30.9737634, 31.9720718, 34.968852729, 39.9623831]
atom_anum = [0., 1., 1., 1., 2., 3., 4., 5., 6., 7., 8., 9.,
10., 11., 12., 13., 14., 15., 16., 17., 18.]
def valid_atom(atom_sym):
"""Returns True if the atomic symbol is in the library."""
return atom_sym in atom_name
def atom_data(atom_sym):
"""Returns the Gaussian width, mass, and atomic number from the
atomic symbol"""
if valid_atom(atom_sym):
index = atom_name.index(atom_sym)
return (atom_width[index], atom_mass[index] * constants.amu2au,
atom_anum[index])
else:
raise KeyError('Atom: '+str(atom_sym)+' not found in library')
|
lgpl-3.0
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