_id
stringlengths 2
7
| title
stringlengths 1
88
| partition
stringclasses 3
values | text
stringlengths 75
19.8k
| language
stringclasses 1
value | meta_information
dict |
|---|---|---|---|---|---|
q4300
|
ModuleGraph.findModuleOfName
|
train
|
def findModuleOfName(self, dotted_name, level, filename, extrapath=None):
"""Given a fully qualified name, find what module contains it."""
if dotted_name.endswith('.*'):
return dotted_name[:-2]
name = dotted_name
# extrapath is None only in a couple of test cases; in real life it's
# always present
if level and level > 1 and extrapath:
# strip trailing path bits for each extra level to account for
# relative imports
# from . import X has level == 1 and nothing is stripped (the level > 1 check accounts for this case)
# from .. import X has level == 2 and one trailing path component must go
# from ... import X has level == 3 and two trailing path components must go
extrapath = extrapath.split(os.path.sep)
level -= 1
extrapath = extrapath[0:-level]
extrapath = os.path.sep.join(extrapath)
while name:
candidate = self.isModule(name, extrapath)
if candidate:
return candidate
candidate = self.isPackage(name, extrapath)
if candidate:
return candidate
name = name[:name.rfind('.')]
self.warn(dotted_name, '%s: could not find %s', filename, dotted_name)
return dotted_name
|
python
|
{
"resource": ""
}
|
q4301
|
ModuleGraph.isModule
|
train
|
def isModule(self, dotted_name, extrapath=None):
"""Is ``dotted_name`` the name of a module?"""
try:
return self._module_cache[(dotted_name, extrapath)]
except KeyError:
pass
if dotted_name in sys.modules or dotted_name in self.builtin_modules:
return dotted_name
filename = dotted_name.replace('.', os.path.sep)
if extrapath:
for ext in self._exts:
candidate = os.path.join(extrapath, filename) + ext
if os.path.exists(candidate):
modname = self.filenameToModname(candidate)
self._module_cache[(dotted_name, extrapath)] = modname
return modname
try:
return self._module_cache[(dotted_name, None)]
except KeyError:
pass
for dir in self.path:
if os.path.isfile(dir):
if dir.endswith('.egg-info'):
# distribute creates a setuptools-blah-blah.egg-info
# that ends up in sys.path
continue
try:
zf = zipfile.ZipFile(dir)
except zipfile.BadZipfile:
self.warn(dir, "%s: not a directory or zip file", dir)
continue
names = zf.namelist()
for ext in self._exts:
candidate = filename + ext
if candidate in names:
modname = filename.replace(os.path.sep, '.')
self._module_cache[(dotted_name, extrapath)] = modname
self._module_cache[(dotted_name, None)] = modname
return modname
else:
for ext in self._exts:
candidate = os.path.join(dir, filename) + ext
if os.path.exists(candidate):
modname = self.filenameToModname(candidate)
self._module_cache[(dotted_name, extrapath)] = modname
self._module_cache[(dotted_name, None)] = modname
return modname
return None
|
python
|
{
"resource": ""
}
|
q4302
|
ModuleGraph.isPackage
|
train
|
def isPackage(self, dotted_name, extrapath=None):
"""Is ``dotted_name`` the name of a package?"""
candidate = self.isModule(dotted_name + '.__init__', extrapath)
if candidate:
candidate = candidate[:-len(".__init__")]
return candidate
|
python
|
{
"resource": ""
}
|
q4303
|
ModuleGraph.packageOf
|
train
|
def packageOf(self, dotted_name, packagelevel=None):
"""Determine the package that contains ``dotted_name``."""
if '.' not in dotted_name:
return dotted_name
if not self.isPackage(dotted_name):
dotted_name = '.'.join(dotted_name.split('.')[:-1])
if packagelevel:
dotted_name = '.'.join(dotted_name.split('.')[:packagelevel])
return dotted_name
|
python
|
{
"resource": ""
}
|
q4304
|
ModuleGraph.listModules
|
train
|
def listModules(self):
"""Return an alphabetical list of all modules."""
modules = list(self.modules.items())
modules.sort()
return [module for name, module in modules]
|
python
|
{
"resource": ""
}
|
q4305
|
ModuleGraph.packageGraph
|
train
|
def packageGraph(self, packagelevel=None):
"""Convert a module graph to a package graph."""
packages = {}
for module in self.listModules():
package_name = self.packageOf(module.modname, packagelevel)
if package_name not in packages:
dirname = os.path.dirname(module.filename)
packages[package_name] = Module(package_name, dirname)
package = packages[package_name]
for name in module.imports:
package_name = self.packageOf(name, packagelevel)
if package_name != package.modname: # no loops
package.imports.add(package_name)
graph = ModuleGraph()
graph.modules = packages
return graph
|
python
|
{
"resource": ""
}
|
q4306
|
ModuleGraph.collapseCycles
|
train
|
def collapseCycles(self):
"""Create a graph with cycles collapsed.
Collapse modules participating in a cycle to a single node.
"""
# This algorithm determines Strongly Connected Components. Look it up.
# It is adapted to suit our data structures.
# Phase 0: prepare the graph
imports = {}
for u in self.modules:
imports[u] = set()
for v in self.modules[u].imports:
if v in self.modules: # skip external dependencies
imports[u].add(v)
# Phase 1: order the vertices
visited = {}
for u in self.modules:
visited[u] = False
order = []
def visit1(u):
visited[u] = True
for v in imports[u]:
if not visited[v]:
visit1(v)
order.append(u)
for u in self.modules:
if not visited[u]:
visit1(u)
order.reverse()
# Phase 2: compute the inverse graph
revimports = {}
for u in self.modules:
revimports[u] = set()
for u in self.modules:
for v in imports[u]:
revimports[v].add(u)
# Phase 3: determine the strongly connected components
components = {}
component_of = {}
for u in self.modules:
visited[u] = False
def visit2(u):
visited[u] = True
component.append(u)
for v in revimports[u]:
if not visited[v]:
visit2(v)
for u in order:
if not visited[u]:
component = []
visit2(u)
component.sort()
node = ModuleCycle(component)
components[node.modname] = node
for modname in component:
component_of[modname] = node
# Phase 4: construct the condensed graph
for node in components.values():
for modname in node.modnames:
for impname in imports[modname]:
other = component_of[impname].modname
if other != node.modname:
node.imports.add(other)
graph = ModuleGraph()
graph.modules = components
return graph
|
python
|
{
"resource": ""
}
|
q4307
|
ModuleGraph.printImportedNames
|
train
|
def printImportedNames(self):
"""Produce a report of imported names."""
for module in self.listModules():
print("%s:" % module.modname)
print(" %s" % "\n ".join(imp.name for imp in module.imported_names))
|
python
|
{
"resource": ""
}
|
q4308
|
ModuleGraph.printImports
|
train
|
def printImports(self):
"""Produce a report of dependencies."""
for module in self.listModules():
print("%s:" % module.label)
if self.external_dependencies:
imports = list(module.imports)
else:
imports = [modname for modname in module.imports
if modname in self.modules]
imports.sort()
print(" %s" % "\n ".join(imports))
|
python
|
{
"resource": ""
}
|
q4309
|
ModuleGraph.printUnusedImports
|
train
|
def printUnusedImports(self):
"""Produce a report of unused imports."""
for module in self.listModules():
names = [(unused.lineno, unused.name)
for unused in module.unused_names]
names.sort()
for lineno, name in names:
if not self.all_unused:
line = linecache.getline(module.filename, lineno)
if '#' in line:
# assume there's a comment explaining why it's not used
continue
print("%s:%s: %s not used" % (module.filename, lineno, name))
|
python
|
{
"resource": ""
}
|
q4310
|
ModuleGraph.printDot
|
train
|
def printDot(self):
"""Produce a dependency graph in dot format."""
print("digraph ModuleDependencies {")
print(" node[shape=box];")
allNames = set()
nameDict = {}
for n, module in enumerate(self.listModules()):
module._dot_name = "mod%d" % n
nameDict[module.modname] = module._dot_name
print(" %s[label=\"%s\"];" % (module._dot_name,
quote(module.label)))
allNames |= module.imports
print(" node[style=dotted];")
if self.external_dependencies:
myNames = set(self.modules)
extNames = list(allNames - myNames)
extNames.sort()
for n, name in enumerate(extNames):
nameDict[name] = id = "extmod%d" % n
print(" %s[label=\"%s\"];" % (id, name))
for modname, module in sorted(self.modules.items()):
for other in sorted(module.imports):
if other in nameDict:
print(" %s -> %s;" % (nameDict[module.modname],
nameDict[other]))
print("}")
|
python
|
{
"resource": ""
}
|
q4311
|
quote
|
train
|
def quote(text):
"""encode html entities"""
text = unicode(text)
return text.translate({
ord('&'): u'&',
ord('<'): u'<',
ord('"'): u'"',
ord('>'): u'>',
ord('@'): u'@',
0xa0: u' '})
|
python
|
{
"resource": ""
}
|
q4312
|
_create_tags
|
train
|
def _create_tags(ctx):
"create all classes and put them in ctx"
for (tag, info) in _TAGS.items():
class_name = tag.title()
quote_, compact, self_closing, docs = info
def __init__(self, *childs, **attrs):
TagBase.__init__(self, childs, attrs)
cls = type(class_name, (TagBase,), {
"__doc__": docs,
"__init__": __init__
})
cls.QUOTE = quote_
cls.COMPACT = compact
cls.SELF_CLOSING = self_closing
ctx[class_name] = cls
|
python
|
{
"resource": ""
}
|
q4313
|
tag_from_element
|
train
|
def tag_from_element(el):
"""
Convert an Element into a Tag.
``el`` is an instance of ``Element``. Returns an instance of the
corresponding subclass of ``TagBase``.
"""
tag = el.tag
namespace = None
if tag.startswith('{'):
# Strip namespace of the form "{namespace}tag"
namespace,tag = tag[1:].split('}')
try:
cls = globals()[tag.title()]
if not issubclass(cls, TagBase):
raise KeyError()
except KeyError:
raise ValueError("TagBase doesn't have a subclass for '%s'." % tag)
children = [tag_from_element(c) for c in el]
tag = cls(*children, **el.attrib)
tag.text = el.text
tag.tail = el.tail
if namespace:
tag.attrib['xmlns'] = namespace
return tag
|
python
|
{
"resource": ""
}
|
q4314
|
html_to_tags
|
train
|
def html_to_tags(code):
"""
Convert HTML code to tags.
``code`` is a string containing HTML code. The return value is a
list of corresponding instances of ``TagBase``.
"""
code = ('<div>' + code + '</div>').encode('utf8')
el = ET.fromstring(code)
return [tag_from_element(c) for c in el]
|
python
|
{
"resource": ""
}
|
q4315
|
HTMLTranslator._init_math_handler
|
train
|
def _init_math_handler(self):
"""
Parse math configuration and set up math handler.
"""
fields = self.settings.math_output.split(None, 1)
name = fields[0].lower()
option = fields[1] if len(fields) > 1 else None
if name == 'html':
option = self.settings.math_css or option
self.math_handler = HTMLMathHandler(css_filename=option)
elif name == 'mathml':
if option:
raise ValueError(('Math handler "%s" does not support ' +
'option "%s".') % (name, option))
self.math_handler = MathMLMathHandler()
elif name == 'mathjax':
# The MathJax handler can be configured via different ways:
#
# - By passing an additional JS url to "--math-output"
# (to stay backwards-compatible with docutils)
#
# - By using "--mathjax-opts" (to stay backwards compatible
# with the previous html5css3 mathjax postprocessor)
#
# - By using "--mathjax-url" and "--mathjax-config" (the
# preferred way)
js_url = option
config = None
if self.settings.mathjax_opts:
parts = self.settings.mathjax_opts.split(',')
options = dict(part.split('=', 1) for part in parts)
js_url = options.get('url', js_url)
config = options.get('config', config)
js_url = self.settings.mathjax_url or js_url
config = self.settings.mathjax_config or config
self.math_handler = MathJaxMathHandler(js_url=js_url,
config_filename=config)
elif name == 'latex':
if option:
raise ValueError(('Math handler "%s" does not support ' +
'option "%s".') % (name, option))
self.math_handler = LaTeXMathHandler()
else:
raise ValueError('Unknown math handler "%s".' % name)
|
python
|
{
"resource": ""
}
|
q4316
|
HTMLTranslator.append_default_stylesheets
|
train
|
def append_default_stylesheets(self):
"""
Appends the default styles defined on the translator settings.
"""
for style in utils.get_stylesheet_list(self.settings):
self.css(style)
|
python
|
{
"resource": ""
}
|
q4317
|
repr_args
|
train
|
def repr_args(args):
"""formats a list of function arguments prettily but as working code
(kwargs are tuples (argname, argvalue)
"""
res = []
for x in args:
if isinstance(x, tuple) and len(x) == 2:
key, value = x
# todo: exclude this key if value is its default
res += ["%s=%s" % (key, repr_arg(value))]
else:
res += [repr_arg(x)]
return ', '.join(res)
|
python
|
{
"resource": ""
}
|
q4318
|
repr_arg
|
train
|
def repr_arg(d):
"""formats a function argument prettily but as working code
unicode encodable as ascii is formatted as str"""
if isinstance(d, dict):
# if d can be expressed in key=value syntax:
return "{%s}" % ", ".join(
"%s: %s" % (repr_arg(k), repr_arg(v)) for k, v in d.items())
if isinstance(d, list):
return "[%s]" % ", ".join(repr_arg(elem) for elem in d)
if isinstance(d, unicode):
try:
return repr(d.encode("ascii"))
except UnicodeEncodeError:
return repr(d)
return repr(d)
|
python
|
{
"resource": ""
}
|
q4319
|
str_args
|
train
|
def str_args(args):
"""formats a list of function arguments prettily not as code
(kwargs are tuples (argname, argvalue)
"""
res = []
for x in args:
if isinstance(x, tuple) and len(x) == 2:
key, value = x
if value and str_arg(value):
res += ["%s=%s" % (key, str_arg(value))]
else:
res += [str_arg(x)]
return ', '.join(res)
|
python
|
{
"resource": ""
}
|
q4320
|
str_arg
|
train
|
def str_arg(d):
"""formats a function argument prettily not as code
dicts are expressed in {key=value} syntax
strings are formatted using str in quotes not repr"""
if not d:
return None
if isinstance(d, dict):
if len(d) == 2 and d.get('type') == 'text' and 'value' in d:
return str_arg(d['value'])
if len(d) == 2 and d.get('type') == 'text' and 'subkey' in d:
return ".%s" % d['subkey']
if d.get('type') == 'module':
return None
return "{%s}" % str_args(d.items())
if isinstance(d, list):
if len(d) == 1:
return str_arg(d[0])
return "[%s]" % ", ".join(str_arg(elem) for elem in d)
if isinstance(d, unicode):
return '"%s"' % d
return repr(d)
|
python
|
{
"resource": ""
}
|
q4321
|
asyncPipeHash
|
train
|
def asyncPipeHash(context=None, _INPUT=None, conf=None, **kwargs):
"""A string module that asynchronously hashes the given text. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : twisted Deferred iterable of items or strings
Returns
-------
_OUTPUT : twisted.internet.defer.Deferred generator of hashed strings
"""
splits = yield asyncGetSplits(_INPUT, conf, **cdicts(opts, kwargs))
parsed = yield asyncDispatch(splits, *get_async_dispatch_funcs())
_OUTPUT = yield asyncStarMap(partial(maybeDeferred, parse_result), parsed)
returnValue(iter(_OUTPUT))
|
python
|
{
"resource": ""
}
|
q4322
|
pipe_tail
|
train
|
def pipe_tail(context=None, _INPUT=None, conf=None, **kwargs):
"""Returns a specified number of items from the bottom of a feed.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipe2py.modules pipe like object (iterable of items)
kwargs -- terminal, if the truncation value is wired in
conf : count -- length of the truncated feed, if specified literally
Yields
------
_OUTPUT : items
"""
conf = DotDict(conf)
limit = conf.get('count', func=int, **kwargs)
for item in deque(_INPUT, limit):
yield item
|
python
|
{
"resource": ""
}
|
q4323
|
get_graph_component
|
train
|
def get_graph_component(graph):
""" Identify strongly connected components in a graph using
Tarjan's algorithm.
graph should be a dictionary mapping node names to
lists of successor nodes.
"""
components = map(partial(_visit, graph=graph), graph)
node_component = dict(_gen_node_component(components))
graph_component = {component: [] for component in components}
graph_component.update(
dict(_gen_graph_component(graph, node_component, _gen_graph_value)))
return graph_component
|
python
|
{
"resource": ""
}
|
q4324
|
pipe_xpathfetchpage
|
train
|
def pipe_xpathfetchpage(context=None, _INPUT=None, conf=None, **kwargs):
"""A source that fetches the content of a given website as DOM nodes or a
string. Loopable.
context : pipe2py.Context object
_INPUT : pipeforever pipe or an iterable of items or fields
conf : dict
URL -- url object contain the URL to download
xpath -- xpath to extract
html5 -- use html5 parser?
useAsString -- emit items as string?
TODOS:
- don't retrieve pages larger than 1.5MB
- don't retrieve if page is not indexable.
Yields
------
_OUTPUT : items
"""
conf = DotDict(conf)
urls = utils.listize(conf['URL'])
for item in _INPUT:
for item_url in urls:
url = utils.get_value(DotDict(item_url), DotDict(item), **kwargs)
url = utils.get_abspath(url)
f = urlopen(url)
# TODO: it seems that Yahoo! converts relative links to
# absolute. This needs to be done on the content but seems to
# be a non-trival task python?
content = unicode(f.read(), 'utf-8')
if context and context.verbose:
print '............Content .................'
print content
print '...............EOF...................'
xpath = conf.get('xpath', **kwargs)
html5 = conf.get('html5', **kwargs) == 'true'
use_as_string = conf.get('useAsString', **kwargs) == 'true'
tree = html5parser.parse(f) if html5 else html.parse(f)
root = tree.getroot()
items = root.xpath(xpath)
if context and context.verbose:
print 'XPathFetchPage: found count items:', len(items)
for etree in items:
i = utils.etree_to_dict(etree)
if context and context.verbose:
print '--------------item data --------------------'
print i
print '--------------EOF item data ----------------'
if use_as_string:
yield {'content': unicode(i)}
else:
yield i
if item.get('forever'):
# _INPUT is pipeforever and not a loop,
# so we just yield our item once
break
|
python
|
{
"resource": ""
}
|
q4325
|
extract_dependencies
|
train
|
def extract_dependencies(pipe_def=None, pipe_generator=None):
"""Extract modules used by a pipe"""
if pipe_def:
pydeps = gen_dependencies(pipe_def)
elif pipe_generator:
pydeps = pipe_generator(Context(describe_dependencies=True))
else:
raise Exception('Must supply at least one kwarg!')
return sorted(set(pydeps))
|
python
|
{
"resource": ""
}
|
q4326
|
extract_input
|
train
|
def extract_input(pipe_def=None, pipe_generator=None):
"""Extract inputs required by a pipe"""
if pipe_def:
pyinput = gen_input(pipe_def)
elif pipe_generator:
pyinput = pipe_generator(Context(describe_input=True))
else:
raise Exception('Must supply at least one kwarg!')
return sorted(list(pyinput))
|
python
|
{
"resource": ""
}
|
q4327
|
pythonise
|
train
|
def pythonise(id, encoding='ascii'):
"""Return a Python-friendly id"""
replace = {'-': '_', ':': '_', '/': '_'}
func = lambda id, pair: id.replace(pair[0], pair[1])
id = reduce(func, replace.iteritems(), id)
id = '_%s' % id if id[0] in string.digits else id
return id.encode(encoding)
|
python
|
{
"resource": ""
}
|
q4328
|
etree_to_dict
|
train
|
def etree_to_dict(element):
"""Convert an eTree xml into dict imitating how Yahoo Pipes does it.
todo: further investigate white space and multivalue handling
"""
i = dict(element.items())
content = element.text.strip() if element.text else None
i.update({'content': content}) if content else None
if len(element.getchildren()):
for child in element.iterchildren():
tag = child.tag.split('}', 1)[-1]
new = etree_to_dict(child)
content = _make_content(i, tag, new)
i.update({tag: content}) if content else None
tag = 'content'
new = child.tail.strip() if child.tail else None
content = _make_content(i, tag, new)
i.update({tag: content}) if content else None
elif content and not set(i).difference(['content']):
# element is leaf node and doesn't have attributes
i = content
return i
|
python
|
{
"resource": ""
}
|
q4329
|
broadcast
|
train
|
def broadcast(_INPUT, *funcs, **kwargs):
"""copies an iterable and delivers the items to multiple functions
/--> foo2bar(_INPUT) --> \
/ \
_INPUT ---> foo2baz(_INPUT) ---> _OUTPUT
\ /
\--> foo2qux(_INPUT) --> /
One way to construct such a flow in code would be::
_INPUT = repeat('foo', 3)
foo2bar = lambda word: word.replace('foo', 'bar')
foo2baz = lambda word: word.replace('foo', 'baz')
foo2qux = lambda word: word.replace('foo', 'quz')
_OUTPUT = broadcast(_INPUT, foo2bar, foo2baz, foo2qux)
_OUTPUT == repeat(('bar', 'baz', 'qux'), 3)
"""
map_func = kwargs.get('map_func', _map_func)
apply_func = kwargs.get('apply_func', _apply_func)
splits = izip(*tee(_INPUT, len(funcs)))
return map_func(partial(apply_func, funcs), splits)
|
python
|
{
"resource": ""
}
|
q4330
|
url_quote
|
train
|
def url_quote(url):
"""Ensure url is valid"""
try:
return quote(url, safe=URL_SAFE)
except KeyError:
return quote(encode(url), safe=URL_SAFE)
|
python
|
{
"resource": ""
}
|
q4331
|
asyncPipeItembuilder
|
train
|
def asyncPipeItembuilder(context=None, _INPUT=None, conf=None, **kwargs):
"""A source that asynchronously builds an item. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : asyncPipe like object (twisted Deferred iterable of items)
conf : {
'attrs': [
{'key': {'value': 'title'}, 'value': {'value': 'new title'}},
{'key': {'value': 'desc.content'}, 'value': {'value': 'new desc'}}
]
}
Returns
------
_OUTPUT : twisted.internet.defer.Deferred generator of items
"""
pkwargs = cdicts(opts, kwargs)
asyncFuncs = yield asyncGetSplits(None, conf['attrs'], **pkwargs)
_input = yield _INPUT
finite = utils.finitize(_input)
inputs = imap(DotDict, finite)
pieces = yield asyncImap(asyncFuncs[0], inputs)
results = imap(utils.parse_params, pieces)
_OUTPUT = imap(DotDict, results)
returnValue(_OUTPUT)
|
python
|
{
"resource": ""
}
|
q4332
|
pipe_itembuilder
|
train
|
def pipe_itembuilder(context=None, _INPUT=None, conf=None, **kwargs):
"""A source that builds an item. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipeforever pipe or an iterable of items
conf : {
'attrs': [
{'key': {'value': <'title'>}, 'value': {'value': <'chair'>}},
{'key': {'value': <'color'>}, 'value': {'value': <'red'>}}
]
}
Returns
------
_OUTPUT : generator of items
"""
funcs = get_splits(None, conf['attrs'], **cdicts(opts, kwargs))
finite = utils.finitize(_INPUT)
inputs = imap(DotDict, finite)
pieces = imap(funcs[0], inputs)
results = imap(utils.parse_params, pieces)
_OUTPUT = imap(DotDict, results)
return _OUTPUT
|
python
|
{
"resource": ""
}
|
q4333
|
asyncPipeLoop
|
train
|
def asyncPipeLoop(context=None, _INPUT=None, conf=None, embed=None, **kwargs):
"""An operator that asynchronously loops over the input and performs the
embedded submodule. Not loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : asyncPipe like object (twisted Deferred iterable of items)
embed : the submodule, i.e., asyncPipe*(context, _INPUT, conf)
Most modules, with the exception of User inputs and Operators can be
sub-modules.
conf : {
'assign_part': {'value': <all or first>},
'assign_to': {'value': <assigned field name>},
'emit_part': {'value': <all or first>},
'mode': {'value': <assign or EMIT>},
'with': {'value': <looped field name or blank>},
'embed': {'value': {'conf': <module conf>}}
}
Returns
-------
_OUTPUT : twisted.internet.defer.Deferred generator of items
"""
cust_func = get_cust_func(context, conf, embed, parse_embed, **kwargs)
opts.update({'cust_func': cust_func})
splits = yield asyncGetSplits(_INPUT, conf, **cdicts(opts, kwargs))
gathered = yield asyncStarMap(asyncParseResult, splits)
_OUTPUT = utils.multiplex(gathered)
returnValue(_OUTPUT)
|
python
|
{
"resource": ""
}
|
q4334
|
pipe_loop
|
train
|
def pipe_loop(context=None, _INPUT=None, conf=None, embed=None, **kwargs):
"""An operator that loops over the input and performs the embedded
submodule. Not loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipe2py.modules pipe like object (iterable of items)
embed : the submodule, i.e., pipe_*(context, _INPUT, conf)
Most modules, with the exception of User inputs and Operators can be
sub-modules.
conf : {
'assign_part': {'value': <all or first>},
'assign_to': {'value': <assigned field name>},
'emit_part': {'value': <all or first>},
'mode': {'value': <assign or EMIT>},
'with': {'value': <looped field name or blank>},
'embed': {'value': {'conf': <module conf>}}
}
Returns
-------
_OUTPUT : generator of items
"""
cust_func = get_cust_func(context, conf, embed, parse_embed, **kwargs)
opts.update({'cust_func': cust_func})
splits = get_splits(_INPUT, conf, **cdicts(opts, kwargs))
gathered = starmap(parse_result, splits)
_OUTPUT = utils.multiplex(gathered)
return _OUTPUT
|
python
|
{
"resource": ""
}
|
q4335
|
pipe_fetchpage
|
train
|
def pipe_fetchpage(context=None, _INPUT=None, conf=None, **kwargs):
"""A source that fetches the content of a given web site as a string.
Loopable.
context : pipe2py.Context object
_INPUT : pipeforever asyncPipe or an iterable of items or fields
conf : dict
URL -- url object contain the URL to download
from -- string from where to start the input
to -- string to limit the input
token -- if present, split the input on this token to generate items
Description: http://pipes.yahoo.com/pipes/docs?doc=sources#FetchPage
TODOS:
- don't retrieve pages larger than 200k
- don't retrieve if page is not indexable.
- item delimiter removes the closing tag if using a HTML tag
(not documented but happens)
- items should be cleaned, i.e. stripped of HTML tags
Yields
------
_OUTPUT : items
"""
conf = DotDict(conf)
split_token = conf.get('token', **kwargs)
urls = utils.listize(conf['URL'])
for item in _INPUT:
for item_url in urls:
url = utils.get_value(DotDict(item_url), DotDict(item), **kwargs)
url = utils.get_abspath(url)
if not url:
continue
f = urlopen(url)
# TODO: it seems that Yahoo! converts relative links to
# absolute. This needs to be done on the content but seems to
# be a non-trival task python?
content = unicode(f.read(), 'utf-8')
if context and context.verbose:
print '............Content .................'
print content
print '...............EOF...................'
parsed = _parse_content(content, conf, **kwargs)
items = parsed.split(split_token) if split_token else [parsed]
if context and context.verbose:
print "FetchPage: found count items:", len(items)
for i in items:
if context and context.verbose:
print "--------------item data --------------------"
print i
print "--------------EOF item data ----------------"
yield {"content": i}
if item.get('forever'):
# _INPUT is pipeforever and not a loop,
# so we just yield our item once
break
|
python
|
{
"resource": ""
}
|
q4336
|
pipe_fetchdata
|
train
|
def pipe_fetchdata(context=None, _INPUT=None, conf=None, **kwargs):
"""A source that fetches and parses an XML or JSON file. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipeforever pipe or an iterable of items or fields
conf : {
'URL': {'value': <url>},
'path': {'value': <dot separated path to data list>}
}
Yields
------
_OUTPUT : items
Examples
--------
>>> from os import path as p
>>> from pipe2py.modules.pipeforever import pipe_forever
>>> parent = p.dirname(p.dirname(__file__))
>>> abspath = p.abspath(p.join(parent, 'data', 'gigs.json'))
>>> path = 'value.items'
>>> url = "file://%s" % abspath
>>> conf = {'URL': {'value': url}, 'path': {'value': path}}
>>> pipe_fetchdata(_INPUT=pipe_forever(), conf=conf).next().keys()[:5]
[u'y:repeatcount', u'description', u'pubDate', u'title', u'y:published']
>>> abspath = p.abspath(p.join(parent, 'data', 'places.xml'))
>>> path = 'appointment'
>>> url = "file://%s" % abspath
>>> conf = {'URL': {'value': url}, 'path': {'value': path}}
>>> sorted(pipe_fetchdata(_INPUT=pipe_forever(), conf=conf).next().keys())
['alarmTime', 'begin', 'duration', 'places', 'subject', 'uid']
>>> conf = {'URL': {'value': url}, 'path': {'value': ''}}
>>> sorted(pipe_fetchdata(_INPUT=pipe_forever(), conf=conf).next().keys())
['appointment', 'reminder']
"""
# todo: iCal and KML
funcs = get_splits(None, conf, **cdicts(opts, kwargs))
parsed = get_parsed(_INPUT, funcs[0])
results = starmap(parse_result, parsed)
items = imap(utils.gen_items, results)
_OUTPUT = utils.multiplex(items)
return _OUTPUT
|
python
|
{
"resource": ""
}
|
q4337
|
asyncPipeFetch
|
train
|
def asyncPipeFetch(context=None, _INPUT=None, conf=None, **kwargs):
"""A source that asynchronously fetches and parses one or more feeds to
return the feed entries. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : asyncPipe like object (twisted Deferred iterable of items)
conf : {
'URL': [
{'type': 'url', 'value': <url1>},
{'type': 'url', 'value': <url2>},
{'type': 'url', 'value': <url3>},
]
}
Returns
-------
_OUTPUT : twisted.internet.defer.Deferred generator of items
"""
splits = yield asyncGetSplits(_INPUT, conf['URL'], **cdicts(opts, kwargs))
items = yield asyncStarMap(asyncParseResult, splits)
_OUTPUT = utils.multiplex(items)
returnValue(_OUTPUT)
|
python
|
{
"resource": ""
}
|
q4338
|
pipe_fetch
|
train
|
def pipe_fetch(context=None, _INPUT=None, conf=None, **kwargs):
"""A source that fetches and parses one or more feeds to return the
entries. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipeforever pipe or an iterable of items or fields
conf : {
'URL': [
{'type': 'url', 'value': <url1>},
{'type': 'url', 'value': <url2>},
{'type': 'url', 'value': <url3>},
]
}
Returns
-------
_OUTPUT : generator of items
"""
splits = get_splits(_INPUT, conf['URL'], **cdicts(opts, kwargs))
items = starmap(parse_result, splits)
_OUTPUT = utils.multiplex(items)
return _OUTPUT
|
python
|
{
"resource": ""
}
|
q4339
|
pipe_filter
|
train
|
def pipe_filter(context=None, _INPUT=None, conf=None, **kwargs):
"""An operator that filters for source items matching the given rules.
Not loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipe2py.modules pipe like object (iterable of items)
conf : {
'MODE': {'value': <'permit' or 'block'>},
'COMBINE': {'value': <'and' or 'or'>}
'RULE': [
{
'field': {'value': 'search field'},
'op': {'value': 'one of SWITCH above'},
'value': {'value': 'search term'}
}
]
}
kwargs : other inputs, e.g., to feed terminals for rule values
Returns
-------
_OUTPUT : generator of filtered items
Examples
--------
>>> import os.path as p
>>> from pipe2py.modules.pipeforever import pipe_forever
>>> from pipe2py.modules.pipefetchdata import pipe_fetchdata
>>> parent = p.dirname(p.dirname(__file__))
>>> file_name = p.abspath(p.join(parent, 'data', 'gigs.json'))
>>> path = 'value.items'
>>> url = 'file://%s' % file_name
>>> conf = {'URL': {'value': url}, 'path': {'value': path}}
>>> input = pipe_fetchdata(_INPUT=pipe_forever(), conf=conf)
>>> mode = {'value': 'permit'}
>>> combine = {'value': 'and'}
>>> rule = [{'field': {'value': 'title'}, 'op': {'value': 'contains'}, \
'value': {'value': 'web'}}]
>>> conf = {'MODE': mode, 'COMBINE': combine, 'RULE': rule}
>>> pipe_filter(_INPUT=input, conf=conf).next()['title']
u'E-Commerce Website Developer | Elance Job'
>>> rule = [{'field': {'value': 'title'}, 'op': {'value': 'contains'}, \
'value': {'value': 'kjhlked'}}]
>>> conf = {'MODE': mode, 'COMBINE': combine, 'RULE': rule}
>>> list(pipe_filter(_INPUT=input, conf=conf))
[]
"""
conf = DotDict(conf)
test = kwargs.pop('pass_if', None)
permit = conf.get('MODE', **kwargs) == 'permit'
combine = conf.get('COMBINE', **kwargs)
if not combine in {'and', 'or'}:
raise Exception(
"Invalid combine: %s. (Expected 'and' or 'or')" % combine)
rule_defs = map(DotDict, utils.listize(conf['RULE']))
get_pass = partial(utils.get_pass, test=test)
get_value = partial(utils.get_value, **kwargs)
parse_conf = partial(utils.parse_conf, parse_func=get_value, **kwargs)
get_rules = lambda i: imap(parse_conf, rule_defs, repeat(i))
funcs = [COMBINE_BOOLEAN[combine], utils.passthrough, utils.passthrough]
inputs = imap(DotDict, _INPUT)
splits = utils.broadcast(inputs, get_rules, utils.passthrough, get_pass)
outputs = starmap(partial(parse_rules, **kwargs), splits)
parsed = utils.dispatch(outputs, *funcs)
gathered = starmap(partial(parse_result, permit=permit), parsed)
_OUTPUT = ifilter(None, gathered)
return _OUTPUT
|
python
|
{
"resource": ""
}
|
q4340
|
pipe_split
|
train
|
def pipe_split(context, _INPUT, conf, splits, **kwargs):
"""An operator that splits a source into identical copies. Not loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipe2py.modules pipe like object (iterable of items)
conf : dict
splits : number of copies
Yields
------
_OUTPUT, _OUTPUT2... : copies of all source items
"""
return Split(context, _INPUT, conf, splits, **kwargs)
|
python
|
{
"resource": ""
}
|
q4341
|
pipe_datebuilder
|
train
|
def pipe_datebuilder(context=None, _INPUT=None, conf=None, **kwargs):
"""A date module that converts a text string into a datetime value. Useful
as terminal data. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipeforever pipe or an iterable of items
conf : {'DATE': {'type': 'datetime', 'value': '12/2/2014'}}
Yields
------
_OUTPUT : date timetuples
"""
conf = DotDict(conf)
for item in _INPUT:
_input = DotDict(item)
date = utils.get_value(conf['DATE'], _input, **kwargs).lower()
if date.endswith(' day') or date.endswith(' days'):
count = int(date.split(' ')[0])
new_date = dt.today() + timedelta(days=count)
elif date.endswith(' year') or date.endswith(' years'):
count = int(date.split(' ')[0])
new_date = dt.today().replace(year=dt.today().year + count)
else:
new_date = SWITCH.get(date)
if not new_date:
new_date = utils.get_date(date)
if not new_date:
raise Exception('Unrecognized date string: %s' % date)
yield new_date.timetuple()
|
python
|
{
"resource": ""
}
|
q4342
|
asyncImap
|
train
|
def asyncImap(asyncCallable, *iterables):
"""itertools.imap for deferred callables
"""
deferreds = imap(asyncCallable, *iterables)
return gatherResults(deferreds, consumeErrors=True)
|
python
|
{
"resource": ""
}
|
q4343
|
asyncStarCmap
|
train
|
def asyncStarCmap(asyncCallable, iterable):
"""itertools.starmap for deferred callables using cooperative multitasking
"""
results = []
yield coopStar(asyncCallable, results.append, iterable)
returnValue(results)
|
python
|
{
"resource": ""
}
|
q4344
|
asyncStarPmap
|
train
|
def asyncStarPmap(asyncCallable, iterable):
"""itertools.starmap for deferred callables using parallel cooperative
multitasking
"""
results = []
yield asyncStarParallel(asyncCallable, results.append, iterable)
returnValue(results)
|
python
|
{
"resource": ""
}
|
q4345
|
asyncStarMap
|
train
|
def asyncStarMap(asyncCallable, iterable):
"""itertools.starmap for deferred callables
"""
deferreds = starmap(asyncCallable, iterable)
return gatherResults(deferreds, consumeErrors=True)
|
python
|
{
"resource": ""
}
|
q4346
|
pipe_rssitembuilder
|
train
|
def pipe_rssitembuilder(context=None, _INPUT=None, conf=None, **kwargs):
"""A source that builds an rss item. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipeforever asyncPipe or an iterable of items or fields
conf : {
'mediaContentType': {'type': 'text', 'value': ''},
'mediaContentHeight': {'type': 'text', 'value': ''},
'mediaContentWidth': {'type': 'text', 'value': ''},
'mediaContentURL': {'type': 'text', 'value': 'url'},
'mediaThumbHeight': {'type': 'text', 'value': ''},
'mediaThumbWidth': {'type': 'text', 'value': ''},
'mediaThumbURL': {'type': 'text', 'value': 'url'},
'description': {'type': 'text', 'value': 'description'},
'pubdate': {'type': 'text', 'value': 'pubdate'},
'author': {'type': 'text', 'value': 'author'},
'title': {'type': 'text', 'value': 'title'},
'link': {'type': 'text', 'value': 'url'},
'guid': {'type': 'text', 'value': 'guid'},
}
Yields
------
_OUTPUT : items
"""
get_value = partial(utils.get_value, **kwargs)
pkwargs = utils.combine_dicts({'parse_func': get_value}, kwargs)
parse_conf = partial(utils.parse_conf, DotDict(conf), **pkwargs)
get_RSS = lambda key, value: (RSS.get(key, key), value)
get_YAHOO = lambda key, value: (YAHOO.get(key), value)
make_dict = lambda func, conf: dict(starmap(func, conf.iteritems()))
clean_dict = lambda d: dict(i for i in d.items() if all(i))
funcs = [partial(make_dict, get_RSS), partial(make_dict, get_YAHOO)]
finite = utils.finitize(_INPUT)
inputs = imap(DotDict, finite)
confs = imap(parse_conf, inputs)
splits = utils.broadcast(confs, *funcs)
combined = starmap(utils.combine_dicts, splits)
result = imap(clean_dict, combined)
_OUTPUT = imap(DotDict, result)
return _OUTPUT
|
python
|
{
"resource": ""
}
|
q4347
|
asyncPipeStrconcat
|
train
|
def asyncPipeStrconcat(context=None, _INPUT=None, conf=None, **kwargs):
"""A string module that asynchronously builds a string. Loopable. No direct
input.
Parameters
----------
context : pipe2py.Context object
_INPUT : asyncPipe like object (twisted Deferred iterable of items)
conf : {
'part': [
{'value': <'<img src="'>},
{'subkey': <'img.src'>},
{'value': <'">'>}
]
}
Returns
-------
_OUTPUT : twisted.internet.defer.Deferred generator of joined strings
"""
splits = yield asyncGetSplits(_INPUT, conf['part'], **cdicts(opts, kwargs))
_OUTPUT = yield asyncStarMap(partial(maybeDeferred, parse_result), splits)
returnValue(iter(_OUTPUT))
|
python
|
{
"resource": ""
}
|
q4348
|
pipe_strconcat
|
train
|
def pipe_strconcat(context=None, _INPUT=None, conf=None, **kwargs):
"""A string module that builds a string. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipeforever pipe or an iterable of items
conf : {
'part': [
{'value': '<img src="'},
{'subkey': 'img.src'},
{'value': '">'}
]
}
Returns
-------
_OUTPUT : generator of joined strings
"""
splits = get_splits(_INPUT, conf['part'], **cdicts(opts, kwargs))
_OUTPUT = starmap(parse_result, splits)
return _OUTPUT
|
python
|
{
"resource": ""
}
|
q4349
|
asyncPipeUniq
|
train
|
def asyncPipeUniq(context=None, _INPUT=None, conf=None, **kwargs):
"""An operator that asynchronously filters out non unique items according
to the specified field. Not loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : twisted Deferred iterable of items
conf : {'field': {'type': 'text', 'value': <field to be unique>}}
returns
-------
_OUTPUT : twisted.internet.defer.Deferred generator of unique items
"""
_input = yield _INPUT
asyncFuncs = yield asyncGetSplits(None, conf, **cdicts(opts, kwargs))
pieces = yield asyncFuncs[0]()
_pass = yield asyncFuncs[2]()
_OUTPUT = _input if _pass else unique_items(_input, pieces.field)
returnValue(_OUTPUT)
|
python
|
{
"resource": ""
}
|
q4350
|
pipe_uniq
|
train
|
def pipe_uniq(context=None, _INPUT=None, conf=None, **kwargs):
"""An operator that filters out non unique items according to the specified
field. Not loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipe2py.modules pipe like object (iterable of items)
kwargs -- other inputs, e.g. to feed terminals for rule values
conf : {'field': {'type': 'text', 'value': <field to be unique>}}
Returns
-------
_OUTPUT : generator of unique items
"""
funcs = get_splits(None, conf, **cdicts(opts, kwargs))
pieces, _pass = funcs[0](), funcs[2]()
_OUTPUT = _INPUT if _pass else unique_items(_INPUT, pieces.field)
return _OUTPUT
|
python
|
{
"resource": ""
}
|
q4351
|
asyncPipeUnion
|
train
|
def asyncPipeUnion(context=None, _INPUT=None, conf=None, **kwargs):
"""An operator that asynchronously merges multiple source together.
Not loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : asyncPipe like object (twisted Deferred iterable of items)
conf : unused
Keyword arguments
-----------------
_OTHER1 : asyncPipe like object
_OTHER2 : etc.
Returns
-------
_OUTPUT : twisted.internet.defer.Deferred generator of items
"""
_input = yield _INPUT
_OUTPUT = get_output(_input, **kwargs)
returnValue(_OUTPUT)
|
python
|
{
"resource": ""
}
|
q4352
|
pipe_union
|
train
|
def pipe_union(context=None, _INPUT=None, conf=None, **kwargs):
"""An operator that merges multiple source together. Not loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipe2py.modules pipe like object (iterable of items)
conf : unused
Keyword arguments
-----------------
_OTHER1 : pipe2py.modules pipe like object
_OTHER2 : etc.
Returns
-------
_OUTPUT : generator of items
"""
_OUTPUT = get_output(_INPUT, **kwargs)
return _OUTPUT
|
python
|
{
"resource": ""
}
|
q4353
|
pipe_sort
|
train
|
def pipe_sort(context=None, _INPUT=None, conf=None, **kwargs):
"""An operator that sorts the input source according to the specified key.
Not loopable. Not lazy.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipe2py.modules pipe like object (iterable of items)
kwargs -- other inputs, e.g. to feed terminals for rule values
conf : {
'KEY': [
{
'field': {'type': 'text', 'value': 'title'},
'dir': {'type': 'text', 'value': 'DESC'}
}
]
}
Returns
-------
_OUTPUT : generator of sorted items
"""
test = kwargs.pop('pass_if', None)
_pass = utils.get_pass(test=test)
key_defs = imap(DotDict, utils.listize(conf['KEY']))
get_value = partial(utils.get_value, **kwargs)
parse_conf = partial(utils.parse_conf, parse_func=get_value, **kwargs)
keys = imap(parse_conf, key_defs)
order = ('%s%s' % ('-' if k.dir == 'DESC' else '', k.field) for k in keys)
comparers = map(get_comparer, order)
cmp_func = partial(multikeysort, comparers=comparers)
_OUTPUT = _INPUT if _pass else iter(sorted(_INPUT, cmp=cmp_func))
return _OUTPUT
|
python
|
{
"resource": ""
}
|
q4354
|
pipe_createrss
|
train
|
def pipe_createrss(context=None, _INPUT=None, conf=None, **kwargs):
"""An operator that converts a source into an RSS stream. Not loopable.
"""
conf = DotDict(conf)
for item in _INPUT:
item = DotDict(item)
yield {
value: item.get(conf.get(key, **kwargs))
for key, value in RSS_FIELDS.items()}
|
python
|
{
"resource": ""
}
|
q4355
|
pipe_fetchsitefeed
|
train
|
def pipe_fetchsitefeed(context=None, _INPUT=None, conf=None, **kwargs):
"""A source that fetches and parses the first feed found on one or more
sites. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipeforever pipe or an iterable of items or fields
conf : URL -- url
Yields
------
_OUTPUT : items
"""
conf = DotDict(conf)
urls = utils.listize(conf['URL'])
for item in _INPUT:
for item_url in urls:
url = utils.get_value(DotDict(item_url), DotDict(item), **kwargs)
url = utils.get_abspath(url)
if context and context.verbose:
print "pipe_fetchsitefeed loading:", url
for link in autorss.getRSSLink(url.encode('utf-8')):
parsed = speedparser.parse(urlopen(link).read())
for entry in utils.gen_entries(parsed):
yield entry
if item.get('forever'):
# _INPUT is pipeforever and not a loop,
# so we just yield our item once
break
|
python
|
{
"resource": ""
}
|
q4356
|
asyncPipeStrreplace
|
train
|
def asyncPipeStrreplace(context=None, _INPUT=None, conf=None, **kwargs):
"""A string module that asynchronously replaces text. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : twisted Deferred iterable of items or strings
conf : {
'RULE': [
{
'param': {'value': <match type: 1=first, 2=last, 3=every>},
'find': {'value': <text to find>},
'replace': {'value': <replacement>}
}
]
}
Returns
-------
_OUTPUT : twisted.internet.defer.Deferred generator of replaced strings
"""
splits = yield asyncGetSplits(_INPUT, conf['RULE'], **kwargs)
parsed = yield asyncDispatch(splits, *get_async_dispatch_funcs())
_OUTPUT = yield asyncStarMap(asyncParseResult, parsed)
returnValue(iter(_OUTPUT))
|
python
|
{
"resource": ""
}
|
q4357
|
pipe_strreplace
|
train
|
def pipe_strreplace(context=None, _INPUT=None, conf=None, **kwargs):
"""A string module that replaces text. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : iterable of items or strings
conf : {
'RULE': [
{
'param': {'value': <match type: 1=first, 2=last, 3=every>},
'find': {'value': <text to find>},
'replace': {'value': <replacement>}
}
]
}
Returns
-------
_OUTPUT : generator of replaced strings
"""
splits = get_splits(_INPUT, conf['RULE'], **kwargs)
parsed = utils.dispatch(splits, *get_dispatch_funcs())
_OUTPUT = starmap(parse_result, parsed)
return _OUTPUT
|
python
|
{
"resource": ""
}
|
q4358
|
asyncPipeUniq
|
train
|
def asyncPipeUniq(context=None, _INPUT=None, conf=None, **kwargs):
"""An operator that asynchronously returns a specified number of items from
the top of a feed. Not loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : twisted Deferred iterable of items
conf : {
'start': {'type': 'number', value': <starting location>}
'count': {'type': 'number', value': <desired feed length>}
}
returns
-------
_OUTPUT : twisted.internet.defer.Deferred generator of unique items
"""
_input = yield _INPUT
asyncFuncs = yield asyncGetSplits(None, conf, **cdicts(opts, kwargs))
pieces = yield asyncFuncs[0]()
_pass = yield asyncFuncs[2]()
if _pass:
_OUTPUT = _input
else:
start = int(pieces.start)
stop = start + int(pieces.count)
_OUTPUT = islice(_input, start, stop)
returnValue(_OUTPUT)
|
python
|
{
"resource": ""
}
|
q4359
|
pipe_truncate
|
train
|
def pipe_truncate(context=None, _INPUT=None, conf=None, **kwargs):
"""An operator that returns a specified number of items from the top of a
feed. Not loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipe2py.modules pipe like object (iterable of items)
kwargs -- terminal, if the truncation value is wired in
conf : {
'start': {'type': 'number', value': <starting location>}
'count': {'type': 'number', value': <desired feed length>}
}
Returns
-------
_OUTPUT : generator of items
"""
funcs = get_splits(None, conf, **cdicts(opts, kwargs))
pieces, _pass = funcs[0](), funcs[2]()
if _pass:
_OUTPUT = _INPUT
else:
try:
start = int(pieces.start)
except AttributeError:
start = 0
stop = start + int(pieces.count)
_OUTPUT = islice(_INPUT, start, stop)
return _OUTPUT
|
python
|
{
"resource": ""
}
|
q4360
|
asyncPipeStringtokenizer
|
train
|
def asyncPipeStringtokenizer(context=None, _INPUT=None, conf=None, **kwargs):
"""A string module that asynchronously splits a string into tokens
delimited by separators. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : twisted Deferred iterable of items or strings
conf : {
'to-str': {'value': <delimiter>},
'dedupe': {'type': 'bool', value': <1>},
'sort': {'type': 'bool', value': <1>}
}
Returns
-------
_OUTPUT : twisted.internet.defer.Deferred generator of items
"""
conf['delimiter'] = conf.pop('to-str', dict.get(conf, 'delimiter'))
splits = yield asyncGetSplits(_INPUT, conf, **cdicts(opts, kwargs))
parsed = yield asyncDispatch(splits, *get_async_dispatch_funcs())
items = yield asyncStarMap(partial(maybeDeferred, parse_result), parsed)
_OUTPUT = utils.multiplex(items)
returnValue(_OUTPUT)
|
python
|
{
"resource": ""
}
|
q4361
|
asyncPipeExchangerate
|
train
|
def asyncPipeExchangerate(context=None, _INPUT=None, conf=None, **kwargs):
"""A string module that asynchronously retrieves the current exchange rate
for a given currency pair. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : twisted Deferred iterable of items or strings (base currency)
conf : {
'quote': {'value': <'USD'>},
'default': {'value': <'USD'>},
'offline': {'type': 'bool', 'value': '0'},
}
Returns
-------
_OUTPUT : twisted.internet.defer.Deferred generator of hashed strings
"""
offline = conf.get('offline', {}).get('value')
# TODO add async rate data fetching
rate_data = get_offline_rate_data() if offline else get_rate_data()
rates = parse_request(rate_data)
splits = yield asyncGetSplits(_INPUT, conf, **cdicts(opts, kwargs))
parsed = yield asyncDispatch(splits, *get_async_dispatch_funcs())
_OUTPUT = starmap(partial(parse_result, rates=rates), parsed)
returnValue(iter(_OUTPUT))
|
python
|
{
"resource": ""
}
|
q4362
|
pipe_exchangerate
|
train
|
def pipe_exchangerate(context=None, _INPUT=None, conf=None, **kwargs):
"""A string module that retrieves the current exchange rate for a given
currency pair. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : iterable of items or strings (base currency)
conf : {
'quote': {'value': <'USD'>},
'default': {'value': <'USD'>},
'offline': {'type': 'bool', 'value': '0'},
}
Returns
-------
_OUTPUT : generator of hashed strings
"""
offline = conf.get('offline', {}).get('value')
rate_data = get_offline_rate_data(err=False) if offline else get_rate_data()
rates = parse_request(rate_data)
splits = get_splits(_INPUT, conf, **cdicts(opts, kwargs))
parsed = utils.dispatch(splits, *get_dispatch_funcs())
_OUTPUT = starmap(partial(parse_result, rates=rates), parsed)
return _OUTPUT
|
python
|
{
"resource": ""
}
|
q4363
|
pipe_strtransform
|
train
|
def pipe_strtransform(context=None, _INPUT=None, conf=None, **kwargs):
"""A string module that splits a string into tokens delimited by
separators. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : iterable of items or strings
conf : {'transformation': {value': <'swapcase'>}}
Returns
-------
_OUTPUT : generator of tokenized strings
"""
splits = get_splits(_INPUT, conf, **cdicts(opts, kwargs))
parsed = utils.dispatch(splits, *get_dispatch_funcs())
_OUTPUT = starmap(parse_result, parsed)
return _OUTPUT
|
python
|
{
"resource": ""
}
|
q4364
|
pipe_privateinput
|
train
|
def pipe_privateinput(context=None, _INPUT=None, conf=None, **kwargs):
"""An input that prompts the user for some text and yields it forever.
Not loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : unused
conf : {
'name': {'value': 'parameter name'},
'prompt': {'value': 'User prompt'},
'default': {'value': 'default value'},
'debug': {'value': 'debug value'}
}
Yields
------
_OUTPUT : text
"""
value = utils.get_input(context, conf)
while True:
yield value
|
python
|
{
"resource": ""
}
|
q4365
|
pipe_dateformat
|
train
|
def pipe_dateformat(context=None, _INPUT=None, conf=None, **kwargs):
"""Formats a datetime value. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipedatebuilder pipe like object (iterable of date timetuples)
conf : {
'format': {'value': <'%B %d, %Y'>},
'timezone': {'value': <'EST'>}
}
Yields
------
_OUTPUT : formatted dates
"""
conf = DotDict(conf)
loop_with = kwargs.pop('with', None)
date_format = conf.get('format', **kwargs)
# timezone = conf.get('timezone', **kwargs)
for item in _INPUT:
_with = item.get(loop_with, **kwargs) if loop_with else item
try:
# todo: check that all PHP formats are covered by Python
date_string = time.strftime(date_format, _with)
except TypeError as e:
if context and context.verbose:
print 'Error formatting date: %s' % item
print e
continue
else:
yield date_string
|
python
|
{
"resource": ""
}
|
q4366
|
pipe_subelement
|
train
|
def pipe_subelement(context=None, _INPUT=None, conf=None, **kwargs):
"""An operator extracts select sub-elements from a feed. Not loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipe2py.modules pipe like object (iterable of items)
conf : {'path': {'value': <element path>}}
Yields
------
_OUTPUT : items
"""
path = DotDict(conf).get('path', **kwargs)
for item in _INPUT:
element = DotDict(item).get(path, **kwargs)
for i in utils.gen_items(element):
yield {'content': i}
if item.get('forever'):
# _INPUT is pipeforever and not a loop,
# so we just yield our item once
break
|
python
|
{
"resource": ""
}
|
q4367
|
pipe_feedautodiscovery
|
train
|
def pipe_feedautodiscovery(context=None, _INPUT=None, conf=None, **kwargs):
"""A source that searches for and returns feed links found in a page.
Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipeforever pipe or an iterable of items or fields
conf : URL -- url
Yields
------
_OUTPUT : items
"""
conf = DotDict(conf)
urls = utils.listize(conf['URL'])
for item in _INPUT:
for item_url in urls:
url = utils.get_value(DotDict(item_url), DotDict(item), **kwargs)
url = utils.get_abspath(url)
if context and context.verbose:
print "pipe_feedautodiscovery loading:", url
for entry in autorss.getRSSLink(url.encode('utf-8')):
yield {'link': entry}
# todo: add rel, type, title
if item.get('forever'):
# _INPUT is pipeforever and not a loop,
# so we just yield our item once
break
|
python
|
{
"resource": ""
}
|
q4368
|
pipe_urlinput
|
train
|
def pipe_urlinput(context=None, _INPUT=None, conf=None, **kwargs):
"""An input that prompts the user for a url and yields it forever.
Not loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : unused
conf : {
'name': {'value': 'parameter name'},
'prompt': {'value': 'User prompt'},
'default': {'value': 'default value'},
'debug': {'value': 'debug value'}
}
Yields
------
_OUTPUT : url
"""
value = utils.get_input(context, conf)
value = utils.url_quote(value)
while True:
yield value
|
python
|
{
"resource": ""
}
|
q4369
|
pipe_yql
|
train
|
def pipe_yql(context=None, _INPUT=None, conf=None, **kwargs):
"""A source that issues YQL queries. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipeforever pipe or an iterable of items or fields
conf : yqlquery -- YQL query
# todo: handle envURL
Yields
------
_OUTPUT : query results
"""
# todo: get from a config/env file
url = "http://query.yahooapis.com/v1/public/yql"
conf = DotDict(conf)
query = conf['yqlquery']
for item in _INPUT:
item = DotDict(item)
yql = utils.get_value(query, item, **kwargs)
# note: we use the default format of xml since json loses some
# structure
# todo: diagnostics=true e.g. if context.test
# todo: consider paging for large result sets
r = requests.get(url, params={'q': yql}, stream=True)
# Parse the response
tree = parse(r.raw)
if context and context.verbose:
print "pipe_yql loading xml:", yql
root = tree.getroot()
# note: query also has row count
results = root.find('results')
# Convert xml into generation of dicts
for element in results.getchildren():
yield utils.etree_to_dict(element)
if item.get('forever'):
# _INPUT is pipeforever and not a loop,
# so we just yield our item once
break
|
python
|
{
"resource": ""
}
|
q4370
|
pipe_numberinput
|
train
|
def pipe_numberinput(context=None, _INPUT=None, conf=None, **kwargs):
"""An input that prompts the user for a number and yields it forever.
Not loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : not used
conf : {
'name': {'value': 'parameter name'},
'prompt': {'value': 'User prompt'},
'default': {'value': 'default value'},
'debug': {'value': 'debug value'}
}
Yields
------
_OUTPUT : text
"""
value = utils.get_input(context, conf)
try:
value = int(value)
except:
value = 0
while True:
yield value
|
python
|
{
"resource": ""
}
|
q4371
|
pipe_urlbuilder
|
train
|
def pipe_urlbuilder(context=None, _INPUT=None, conf=None, **kwargs):
"""A url module that builds a url. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipeforever pipe or an iterable of items or fields
conf : {
'PARAM': [
{'key': {'value': <'order'>}, 'value': {'value': <'desc'>}},
{'key': {'value': <'page'>}, 'value': {'value': <'2'>}}
]
'PATH': {'type': 'text', 'value': <''>},
'BASE': {'type': 'text', 'value': <'http://site.com/feed.xml'>},
}
Yields
------
_OUTPUT : url
"""
pkwargs = cdicts(opts, kwargs)
get_params = get_funcs(conf.get('PARAM', []), **kwargs)[0]
get_paths = get_funcs(conf.get('PATH', []), **pkwargs)[0]
get_base = get_funcs(conf['BASE'], listize=False, **pkwargs)[0]
parse_params = utils.parse_params
splits = get_splits(_INPUT, funcs=[get_params, get_paths, get_base])
parsed = utils.dispatch(splits, *get_dispatch_funcs('pass', parse_params))
_OUTPUT = starmap(parse_result, parsed)
return _OUTPUT
|
python
|
{
"resource": ""
}
|
q4372
|
pipe_csv
|
train
|
def pipe_csv(context=None, _INPUT=None, conf=None, **kwargs):
"""A source that fetches and parses a csv file to yield items. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipeforever pipe or an iterable of items or fields
conf : URL -- url
skip -- number of header rows to skip
col_mode -- column name source: row=header row(s),
custom=defined in col_name
col_name -- list of custom column names
col_row_start -- first column header row
col_row_end -- last column header row
separator -- column separator
Yields
------
_OUTPUT : items
Note:
Current restrictions:
separator must be 1 character
assumes every row has exactly the expected number of fields, as defined
in the header
"""
conf = DotDict(conf)
conf_sep = conf['separator']
conf_mode = conf['col_mode']
col_name = conf['col_name']
for item in _INPUT:
item = DotDict(item)
url = utils.get_value(conf['URL'], item, **kwargs)
url = utils.get_abspath(url)
separator = utils.get_value(conf_sep, item, encode=True, **kwargs)
skip = int(utils.get_value(conf['skip'], item, **kwargs))
col_mode = utils.get_value(conf_mode, item, **kwargs)
f = urlopen(url)
if context and context.verbose:
print "pipe_csv loading:", url
for i in xrange(skip):
f.next()
reader = csv.UnicodeReader(f, delimiter=separator)
fieldnames = []
if col_mode == 'custom':
fieldnames = [DotDict(x).get() for x in col_name]
else:
fieldnames = _gen_fieldnames(conf, reader, item, **kwargs)
for rows in reader:
yield dict(zip(fieldnames, rows))
f.close()
if item.get('forever'):
# _INPUT is pipeforever and not a loop,
# so we just yield our item once
break
|
python
|
{
"resource": ""
}
|
q4373
|
asyncPipeRename
|
train
|
def asyncPipeRename(context=None, _INPUT=None, conf=None, **kwargs):
"""An operator that asynchronously renames or copies fields in the input
source. Not loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : asyncPipe like object (twisted Deferred iterable of items)
conf : {
'RULE': [
{
'op': {'value': 'rename or copy'},
'field': {'value': 'old field'},
'newval': {'value': 'new field'}
}
]
}
kwargs : other inputs, e.g., to feed terminals for rule values
Returns
-------
_OUTPUT : twisted.internet.defer.Deferred generator of items
"""
splits = yield asyncGetSplits(_INPUT, conf['RULE'], **cdicts(opts, kwargs))
_OUTPUT = yield maybeDeferred(parse_results, splits, **kwargs)
returnValue(_OUTPUT)
|
python
|
{
"resource": ""
}
|
q4374
|
pipe_rename
|
train
|
def pipe_rename(context=None, _INPUT=None, conf=None, **kwargs):
"""An operator that renames or copies fields in the input source.
Not loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipe2py.modules pipe like object (iterable of items)
conf : {
'RULE': [
{
'op': {'value': 'rename or copy'},
'field': {'value': 'old field'},
'newval': {'value': 'new field'}
}
]
}
kwargs : other inputs, e.g., to feed terminals for rule values
Returns
-------
_OUTPUT : generator of items
"""
splits = get_splits(_INPUT, conf['RULE'], **cdicts(opts, kwargs))
_OUTPUT = parse_results(splits, **kwargs)
return _OUTPUT
|
python
|
{
"resource": ""
}
|
q4375
|
pipe_reverse
|
train
|
def pipe_reverse(context=None, _INPUT=None, conf=None, **kwargs):
"""An operator that reverses the order of source items. Not loopable. Not
lazy.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipe2py.modules pipe like object (iterable of items)
conf : unused
Yields
------
_OUTPUT : items
"""
for item in reversed(list(_INPUT)):
yield item
|
python
|
{
"resource": ""
}
|
q4376
|
pipe_count
|
train
|
def pipe_count(context=None, _INPUT=None, conf=None, **kwargs):
"""An operator that counts the number of _INPUT items and yields it
forever. Not loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipe2py.modules pipe like object (iterable of items)
conf : not used
Yields
------
_OUTPUT : number of items in the feed
Examples
--------
>>> generator = (x for x in xrange(5))
>>> count = pipe_count(_INPUT=generator)
>>> count #doctest: +ELLIPSIS
<generator object pipe_count at 0x...>
>>> count.next()
5
"""
count = len(list(_INPUT))
# todo: check all operators (not placeable in loops)
while True:
yield count
|
python
|
{
"resource": ""
}
|
q4377
|
asyncPipeSubstr
|
train
|
def asyncPipeSubstr(context=None, _INPUT=None, conf=None, **kwargs):
"""A string module that asynchronously returns a substring. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : twisted Deferred iterable of items or strings
conf : {
'from': {'type': 'number', value': <starting position>},
'length': {'type': 'number', 'value': <count of characters to return>}
}
returns
-------
_OUTPUT : twisted.internet.defer.Deferred generator of substrings
"""
conf['start'] = conf.pop('from', dict.get(conf, 'start'))
splits = yield asyncGetSplits(_INPUT, conf, **cdicts(opts, kwargs))
parsed = yield asyncDispatch(splits, *get_async_dispatch_funcs())
_OUTPUT = yield asyncStarMap(partial(maybeDeferred, parse_result), parsed)
returnValue(iter(_OUTPUT))
|
python
|
{
"resource": ""
}
|
q4378
|
pipe_substr
|
train
|
def pipe_substr(context=None, _INPUT=None, conf=None, **kwargs):
"""A string module that returns a substring. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : iterable of items or strings
conf : {
'from': {'type': 'number', value': <starting position>},
'length': {'type': 'number', 'value': <count of characters to return>}
}
Returns
-------
_OUTPUT : generator of substrings
"""
conf['start'] = conf.pop('from', dict.get(conf, 'start'))
splits = get_splits(_INPUT, conf, **cdicts(opts, kwargs))
parsed = utils.dispatch(splits, *get_dispatch_funcs())
_OUTPUT = starmap(parse_result, parsed)
return _OUTPUT
|
python
|
{
"resource": ""
}
|
q4379
|
serialize_number
|
train
|
def serialize_number(x, fmt=SER_BINARY, outlen=None):
""" Serializes `x' to a string of length `outlen' in format `fmt' """
ret = b''
if fmt == SER_BINARY:
while x:
x, r = divmod(x, 256)
ret = six.int2byte(int(r)) + ret
if outlen is not None:
assert len(ret) <= outlen
ret = ret.rjust(outlen, b'\0')
return ret
assert fmt == SER_COMPACT
while x:
x, r = divmod(x, len(COMPACT_DIGITS))
ret = COMPACT_DIGITS[r:r + 1] + ret
if outlen is not None:
assert len(ret) <= outlen
ret = ret.rjust(outlen, COMPACT_DIGITS[0:1])
return ret
|
python
|
{
"resource": ""
}
|
q4380
|
deserialize_number
|
train
|
def deserialize_number(s, fmt=SER_BINARY):
""" Deserializes a number from a string `s' in format `fmt' """
ret = gmpy.mpz(0)
if fmt == SER_BINARY:
if isinstance(s, six.text_type):
raise ValueError(
"Encode `s` to a bytestring yourself to" +
" prevent problems with different default encodings")
for c in s:
ret *= 256
ret += byte2int(c)
return ret
assert fmt == SER_COMPACT
if isinstance(s, six.text_type):
s = s.encode('ascii')
for c in s:
ret *= len(COMPACT_DIGITS)
ret += R_COMPACT_DIGITS[c]
return ret
|
python
|
{
"resource": ""
}
|
q4381
|
mod_issquare
|
train
|
def mod_issquare(a, p):
""" Returns whether `a' is a square modulo p """
if not a:
return True
p1 = p // 2
p2 = pow(a, p1, p)
return p2 == 1
|
python
|
{
"resource": ""
}
|
q4382
|
mod_root
|
train
|
def mod_root(a, p):
""" Return a root of `a' modulo p """
if a == 0:
return 0
if not mod_issquare(a, p):
raise ValueError
n = 2
while mod_issquare(n, p):
n += 1
q = p - 1
r = 0
while not q.getbit(r):
r += 1
q = q >> r
y = pow(n, q, p)
h = q >> 1
b = pow(a, h, p)
x = (a * b) % p
b = (b * x) % p
while b != 1:
h = (b * b) % p
m = 1
while h != 1:
h = (h * h) % p
m += 1
h = gmpy.mpz(0)
h = h.setbit(r - m - 1)
t = pow(y, h, p)
y = (t * t) % p
r = m
x = (x * t) % p
b = (b * y) % p
return x
|
python
|
{
"resource": ""
}
|
q4383
|
encrypt
|
train
|
def encrypt(s, pk, pk_format=SER_COMPACT, mac_bytes=10, curve=None):
""" Encrypts `s' for public key `pk' """
curve = (Curve.by_pk_len(len(pk)) if curve is None
else Curve.by_name(curve))
p = curve.pubkey_from_string(pk, pk_format)
return p.encrypt(s, mac_bytes)
|
python
|
{
"resource": ""
}
|
q4384
|
decrypt
|
train
|
def decrypt(s, passphrase, curve='secp160r1', mac_bytes=10):
""" Decrypts `s' with passphrase `passphrase' """
curve = Curve.by_name(curve)
privkey = curve.passphrase_to_privkey(passphrase)
return privkey.decrypt(s, mac_bytes)
|
python
|
{
"resource": ""
}
|
q4385
|
encrypt_file
|
train
|
def encrypt_file(in_path_or_file, out_path_or_file, pk, pk_format=SER_COMPACT,
mac_bytes=10, chunk_size=4096, curve=None):
""" Encrypts `in_file' to `out_file' for pubkey `pk' """
close_in, close_out = False, False
in_file, out_file = in_path_or_file, out_path_or_file
try:
if stringlike(in_path_or_file):
in_file = open(in_path_or_file, 'rb')
close_in = True
if stringlike(out_path_or_file):
out_file = open(out_path_or_file, 'wb')
close_out = True
_encrypt_file(in_file, out_file, pk, pk_format, mac_bytes, chunk_size,
curve)
finally:
if close_out:
out_file.close()
if close_in:
in_file.close()
|
python
|
{
"resource": ""
}
|
q4386
|
decrypt_file
|
train
|
def decrypt_file(in_path_or_file, out_path_or_file, passphrase,
curve='secp160r1', mac_bytes=10, chunk_size=4096):
""" Decrypts `in_file' to `out_file' with passphrase `passphrase' """
close_in, close_out = False, False
in_file, out_file = in_path_or_file, out_path_or_file
try:
if stringlike(in_path_or_file):
in_file = open(in_path_or_file, 'rb')
close_in = True
if stringlike(out_path_or_file):
out_file = open(out_path_or_file, 'wb')
close_out = True
_decrypt_file(in_file, out_file, passphrase, curve, mac_bytes,
chunk_size)
finally:
if close_out:
out_file.close()
if close_in:
in_file.close()
|
python
|
{
"resource": ""
}
|
q4387
|
verify
|
train
|
def verify(s, sig, pk, sig_format=SER_COMPACT, pk_format=SER_COMPACT,
curve=None):
""" Verifies that `sig' is a signature of pubkey `pk' for the
message `s'. """
if isinstance(s, six.text_type):
raise ValueError("Encode `s` to a bytestring yourself to" +
" prevent problems with different default encodings")
curve = (Curve.by_pk_len(len(pk)) if curve is None
else Curve.by_name(curve))
p = curve.pubkey_from_string(pk, pk_format)
return p.verify(hashlib.sha512(s).digest(), sig, sig_format)
|
python
|
{
"resource": ""
}
|
q4388
|
sign
|
train
|
def sign(s, passphrase, sig_format=SER_COMPACT, curve='secp160r1'):
""" Signs `s' with passphrase `passphrase' """
if isinstance(s, six.text_type):
raise ValueError("Encode `s` to a bytestring yourself to" +
" prevent problems with different default encodings")
curve = Curve.by_name(curve)
privkey = curve.passphrase_to_privkey(passphrase)
return privkey.sign(hashlib.sha512(s).digest(), sig_format)
|
python
|
{
"resource": ""
}
|
q4389
|
PubKey.verify
|
train
|
def verify(self, h, sig, sig_fmt=SER_BINARY):
""" Verifies that `sig' is a signature for a message with
SHA-512 hash `h'. """
s = deserialize_number(sig, sig_fmt)
return self.p._ECDSA_verify(h, s)
|
python
|
{
"resource": ""
}
|
q4390
|
PubKey.encrypt_to
|
train
|
def encrypt_to(self, f, mac_bytes=10):
""" Returns a file like object `ef'. Anything written to `ef'
will be encrypted for this pubkey and written to `f'. """
ctx = EncryptionContext(f, self.p, mac_bytes)
yield ctx
ctx.finish()
|
python
|
{
"resource": ""
}
|
q4391
|
PubKey.encrypt
|
train
|
def encrypt(self, s, mac_bytes=10):
""" Encrypt `s' for this pubkey. """
if isinstance(s, six.text_type):
raise ValueError(
"Encode `s` to a bytestring yourself to" +
" prevent problems with different default encodings")
out = BytesIO()
with self.encrypt_to(out, mac_bytes) as f:
f.write(s)
return out.getvalue()
|
python
|
{
"resource": ""
}
|
q4392
|
PrivKey.decrypt_from
|
train
|
def decrypt_from(self, f, mac_bytes=10):
""" Decrypts a message from f. """
ctx = DecryptionContext(self.curve, f, self, mac_bytes)
yield ctx
ctx.read()
|
python
|
{
"resource": ""
}
|
q4393
|
PrivKey.sign
|
train
|
def sign(self, h, sig_format=SER_BINARY):
""" Signs the message with SHA-512 hash `h' with this private key. """
outlen = (self.curve.sig_len_compact if sig_format == SER_COMPACT
else self.curve.sig_len_bin)
sig = self._ECDSA_sign(h)
return serialize_number(sig, sig_format, outlen)
|
python
|
{
"resource": ""
}
|
q4394
|
Curve.hash_to_exponent
|
train
|
def hash_to_exponent(self, h):
""" Converts a 32 byte hash to an exponent """
ctr = Crypto.Util.Counter.new(128, initial_value=0)
cipher = Crypto.Cipher.AES.new(h,
Crypto.Cipher.AES.MODE_CTR, counter=ctr)
buf = cipher.encrypt(b'\0' * self.order_len_bin)
return self._buf_to_exponent(buf)
|
python
|
{
"resource": ""
}
|
q4395
|
run
|
train
|
def run(): # pragma: no cover
"""Defines how to start the CLI for the DomainTools API"""
out_file, out_format, arguments = parse()
user, key = arguments.pop('user', None), arguments.pop('key', None)
if not user or not key:
sys.stderr.write('Credentials are required to perform API calls.\n')
sys.exit(1)
api = API(user, key, https=arguments.pop('https'), verify_ssl=arguments.pop('verify_ssl'),
rate_limit=arguments.pop('rate_limit'))
response = getattr(api, arguments.pop('api_call'))(**arguments)
output = str(getattr(response, out_format) if out_format != 'list' else response.as_list())
out_file.write(output if output.endswith('\n') else output + '\n')
|
python
|
{
"resource": ""
}
|
q4396
|
permission_required
|
train
|
def permission_required(perm, *lookup_variables, **kwargs):
"""
Decorator for views that checks whether a user has a particular permission
enabled, redirecting to the log-in page if necessary.
"""
login_url = kwargs.pop('login_url', settings.LOGIN_URL)
redirect_field_name = kwargs.pop('redirect_field_name', REDIRECT_FIELD_NAME)
redirect_to_login = kwargs.pop('redirect_to_login', True)
def decorate(view_func):
def decorated(request, *args, **kwargs):
if request.user.is_authenticated():
params = []
for lookup_variable in lookup_variables:
if isinstance(lookup_variable, string_types):
value = kwargs.get(lookup_variable, None)
if value is None:
continue
params.append(value)
elif isinstance(lookup_variable, (tuple, list)):
model, lookup, varname = lookup_variable
value = kwargs.get(varname, None)
if value is None:
continue
if isinstance(model, string_types):
model_class = apps.get_model(*model.split("."))
else:
model_class = model
if model_class is None:
raise ValueError(
"The given argument '%s' is not a valid model." % model)
if (inspect.isclass(model_class) and
not issubclass(model_class, Model)):
raise ValueError(
'The argument %s needs to be a model.' % model)
obj = get_object_or_404(model_class, **{lookup: value})
params.append(obj)
check = get_check(request.user, perm)
granted = False
if check is not None:
granted = check(*params)
if granted or request.user.has_perm(perm):
return view_func(request, *args, **kwargs)
if redirect_to_login:
path = urlquote(request.get_full_path())
tup = login_url, redirect_field_name, path
return HttpResponseRedirect('%s?%s=%s' % tup)
return permission_denied(request)
return wraps(view_func)(decorated)
return decorate
|
python
|
{
"resource": ""
}
|
q4397
|
get_permissions
|
train
|
def get_permissions(parser, token):
"""
Retrieves all permissions associated with the given obj and user
and assigns the result to a context variable.
Syntax::
{% get_permissions obj %}
{% for perm in permissions %}
{{ perm }}
{% endfor %}
{% get_permissions obj as "my_permissions" %}
{% get_permissions obj for request.user as "my_permissions" %}
"""
return PermissionsForObjectNode.handle_token(parser, token, approved=True,
name='"permissions"')
|
python
|
{
"resource": ""
}
|
q4398
|
get_permission_requests
|
train
|
def get_permission_requests(parser, token):
"""
Retrieves all permissions requests associated with the given obj and user
and assigns the result to a context variable.
Syntax::
{% get_permission_requests obj %}
{% for perm in permissions %}
{{ perm }}
{% endfor %}
{% get_permission_requests obj as "my_permissions" %}
{% get_permission_requests obj for request.user as "my_permissions" %}
"""
return PermissionsForObjectNode.handle_token(parser, token,
approved=False,
name='"permission_requests"')
|
python
|
{
"resource": ""
}
|
q4399
|
get_permission
|
train
|
def get_permission(parser, token):
"""
Performs a permission check with the given signature, user and objects
and assigns the result to a context variable.
Syntax::
{% get_permission PERMISSION_LABEL.CHECK_NAME for USER and *OBJS [as VARNAME] %}
{% get_permission "poll_permission.change_poll"
for request.user and poll as "is_allowed" %}
{% get_permission "poll_permission.change_poll"
for request.user and poll,second_poll as "is_allowed" %}
{% if is_allowed %}
I've got ze power to change ze pollllllzzz. Muahahaa.
{% else %}
Meh. No power for meeeee.
{% endif %}
"""
return PermissionForObjectNode.handle_token(parser, token,
approved=True,
name='"permission"')
|
python
|
{
"resource": ""
}
|
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