index
int64 0
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| package
stringlengths 2
98
⌀ | name
stringlengths 1
76
| docstring
stringlengths 0
281k
⌀ | code
stringlengths 4
8.19k
| signature
stringlengths 2
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⌀ | embed_func_code
listlengths 768
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23,427 | conexions.proxy | set_proxy |
Devolve un proxy e automáticamente eliminao da lista.
De non ter ningún proxy que devolver, escraperá a páxina
por máis.
@entradas:
Ningunha.
@saídas:
ProxyDTO - Sempre
└ O proxy a usar nas conexións.
| def set_proxy(self) -> None:
"""
Devolve un proxy e automáticamente eliminao da lista.
De non ter ningún proxy que devolver, escraperá a páxina
por máis.
@entradas:
Ningunha.
@saídas:
ProxyDTO - Sempre
└ O proxy a usar nas conexións.
"""
try:
self.__proxy = self.get_proxys().pop()
# se a lista de proxys está baleira
except IndexError:
self.set_proxys()
self.get_proxy() # recursion
finally:
self.__set_cant_cons(0)
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] |
23,428 | conexions.proxy | set_proxys |
Colle a páxina e saca toda a info sobre os proxys que contén.
@entradas:
Ningunha.
@saidas:
Ningunha.
| def set_proxys(self) -> None:
"""
Colle a páxina e saca toda a info sobre os proxys que contén.
@entradas:
Ningunha.
@saidas:
Ningunha.
"""
while True:
try:
pax_web = requests.get(url= self.get_ligazon(),
headers= self.get_cabeceira())
except ConnectionError:
pass
except Exception:
raise
else:
# se saiu todo ben sáese do bucle
if pax_web.ok:
pax_web.encoding = 'utf-8'
break
if self.get_verbose() and self.get_cant_cons_totais()>0: print(f'{__name__}: Enchendo a lista de proxys.')
taboa_proxys = bs(pax_web.text, 'html.parser').find(class_='table')
lst_nomes_cols_esperados = [
'IP Address',
'Port',
'Code',
'Country',
'Anonymity',
'Google',
'Https',
'Last Checked'
]
lst_nomes_cols_obtidos = taboa_proxys.thead.find_all('th')
if len(lst_nomes_cols_esperados) != len(lst_nomes_cols_obtidos):
raise CambioNaPaxinaErro('Modificado o número de columnas')
for esperado, obtido in zip(lst_nomes_cols_esperados, lst_nomes_cols_obtidos):
if esperado != obtido.text:
raise CambioNaPaxinaErro('Modificado o orde ou nome das columnas')
for fila in taboa_proxys.tbody:
novo_proxy = ProxyDTO([atributo.text for atributo in fila.find_all('td')])
if (novo_proxy.tipo == 'elite proxy') and (novo_proxy.google == 'no') and (novo_proxy.https == 'yes'):
# métoos desta forma na lista porque así vou sacando e eliminando dende atrás
self.__lst_proxys.insert(0, novo_proxy)
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23,429 | conexions.proxy | set_reintentos | null | def set_reintentos(self, novo_reintentos: int) -> None:
self.__reintentos = novo_reintentos
| (self, novo_reintentos: int) -> NoneType | [
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23,430 | conexions.proxy | set_sesion | def set_sesion(self, reset: Union[bool, int] = False) -> None:
"""
"""
if reset:
self.__sesion = None
else:
self.__sesion = requests.Session()
| (self, reset: Union[bool, int] = False) -> NoneType | [
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|
23,431 | conexions.proxy | set_timeout | null | def set_timeout(self, novo_timeout: int) -> None:
self.__timeout = novo_timeout
| (self, novo_timeout: int) -> NoneType | [
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23,432 | conexions.proxy | set_verbosalo | null | def set_verbosalo(self, novo_verbosalo: bool) -> None:
self.__verbosalo = novo_verbosalo
| (self, novo_verbosalo: bool) -> NoneType | [
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23,433 | conexions.proxy | set_verbose | null | def set_verbose(self, novo_verbose: bool) -> None:
self.__verbose = novo_verbose
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23,437 | tryme.tryme | Again |
Again of :py:class:`Failure`.
A handy alias of :py:class:`Failure` to indicate that an operation should be retried
| class Again(Failure):
"""
Again of :py:class:`Failure`.
A handy alias of :py:class:`Failure` to indicate that an operation should be retried
"""
pass
| (value, message=None, start=None, end=None, count=1) | [
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23,438 | tryme.tryme | __bool__ | null | def __bool__(self):
# pylint: disable = no-self-use
return False
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23,439 | tryme.tryme | __eq__ | null | def __eq__(self, other):
if self is other:
return True
elif not isinstance(other, type(self)):
return NotImplemented
else:
return self._value == other._value
| (self, other) | [
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23,440 | functools | __ge__ | Return a >= b. Computed by @total_ordering from (not a < b). | def _ge_from_lt(self, other, NotImplemented=NotImplemented):
'Return a >= b. Computed by @total_ordering from (not a < b).'
op_result = type(self).__lt__(self, other)
if op_result is NotImplemented:
return op_result
return not op_result
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23,441 | functools | __gt__ | Return a > b. Computed by @total_ordering from (not a < b) and (a != b). | def _gt_from_lt(self, other, NotImplemented=NotImplemented):
'Return a > b. Computed by @total_ordering from (not a < b) and (a != b).'
op_result = type(self).__lt__(self, other)
if op_result is NotImplemented:
return op_result
return not op_result and self != other
| (self, other, NotImplemented=NotImplemented) | [
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23,442 | tryme.tryme | __init__ | null | def __init__(self, value, message=None, start=None, end=None, count=1):
super(Try, self).__init__(value)
self._message = message
self._start = start
self._end = end
self._count = count
if (start is None and end is not None) or (end is None and start is not None):
raise InvalidTryError(
"The start and end argument must either be both None or not None")
if type(self) is Try:
raise NotImplementedError('Please use Failure or Success instead')
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23,443 | functools | __le__ | Return a <= b. Computed by @total_ordering from (a < b) or (a == b). | def _le_from_lt(self, other, NotImplemented=NotImplemented):
'Return a <= b. Computed by @total_ordering from (a < b) or (a == b).'
op_result = type(self).__lt__(self, other)
if op_result is NotImplemented:
return op_result
return op_result or self == other
| (self, other, NotImplemented=NotImplemented) | [
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23,444 | tryme.tryme | __lt__ | Override to handle special case: Success. | def __lt__(self, monad):
"""Override to handle special case: Success."""
if not isinstance(monad, (Failure, Success)):
fmt = "unorderable types: {} and {}'".format
raise TypeError(fmt(type(self), type(monad)))
if type(self) is type(monad):
# same type, either both lefts or rights, compare against value
return self._value < monad._value
if monad:
# self is Failure and monad is Success, left is less than right
return True
else:
return False
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23,446 | tryme.tryme | __repr__ | Customize Show. | def __repr__(self):
"""Customize Show."""
fmt = 'Success({})' if self else 'Failure({})'
return fmt.format(repr(self._value))
| (self) | [
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23,447 | tryme.tryme | fail_for_error |
If a Failure, write the message to stderr and exit with return code of `exit_status`
Does nothing if a Success
:param exit_status: (optional) the numeric exist status to return if exit is True
:type exit_status: int
| def fail_for_error(self, exit_status=1):
'''
If a Failure, write the message to stderr and exit with return code of `exit_status`
Does nothing if a Success
:param exit_status: (optional) the numeric exist status to return if exit is True
:type exit_status: int
'''
if self.failed():
to_console(self.message, nl=True, err=True, exit_err=True,
exit_status=exit_status)
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] |
23,448 | tryme.tryme | failed | Return a Boolean that indicates if the value is an instance of Failure
>>> Failure('shit is fucked up').failed()
True
>>> Success('it worked!').failed()
False
| def failed(self):
"""Return a Boolean that indicates if the value is an instance of Failure
>>> Failure('shit is fucked up').failed()
True
>>> Success('it worked!').failed()
False
"""
return not(bool(self))
| (self) | [
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] |
23,449 | tryme.tryme | filter |
If a Success, convert this to a Failure if the predicate is not satisfied.
Applies predicate to the wrapped value
:param predicate: a function that takes the wrapped value as its argument and returns a boolean value
:rtype: :class:`Try <Try>` object
:return: Try
| def filter(self, predicate):
'''
If a Success, convert this to a Failure if the predicate is not satisfied.
Applies predicate to the wrapped value
:param predicate: a function that takes the wrapped value as its argument and returns a boolean value
:rtype: :class:`Try <Try>` object
:return: Try
'''
if self.failed():
return self
else:
wrapped_value = self.get()
if predicate(wrapped_value):
return self
else:
return Failure(wrapped_value)
| (self, predicate) | [
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23,450 | tryme.tryme | get | Gets the Success value if this is a Success otherwise throws an exception | def get(self):
'''Gets the Success value if this is a Success otherwise throws an exception'''
if self.succeeded():
return self._value
else:
raise NoSuchElementError('You cannot call `get` on a Failure, use `get_failure` instead')
| (self) | [
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23,451 | tryme.tryme | get_failure | Gets the Failure value if this is a Failure otherwise throws an exception | def get_failure(self):
'''Gets the Failure value if this is a Failure otherwise throws an exception'''
if self.failed():
return self._value
else:
raise NoSuchElementError('You cannot call `get_failure` on a Success, use `get` instead')
| (self) | [
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23,452 | tryme.tryme | get_or_else | Returns the value from this Success or the given default argument if this is a Failure. | def get_or_else(self, default):
'''Returns the value from this Success or the given default argument if this is a Failure.'''
if self.succeeded():
return self._value
else:
return default
| (self, default) | [
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] |
23,453 | tryme.tryme | map | The map operation of :py:class:`Try` to Success instances
Applies function to the value if and only if this is a
:py:class:`Success`.
| def map(self, function):
"""The map operation of :py:class:`Try` to Success instances
Applies function to the value if and only if this is a
:py:class:`Success`.
"""
constructor = type(self)
if self.succeeded():
return constructor(function(self._value))
else:
return self
| (self, function) | [
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] |
23,454 | tryme.tryme | map_failure | The map operation of :py:class:`Try` to Failure instances
Applies function to the value if and only if this is a
:py:class:`Success`.
| def map_failure(self, function):
"""The map operation of :py:class:`Try` to Failure instances
Applies function to the value if and only if this is a
:py:class:`Success`.
"""
constructor = type(self)
if self.failed():
return constructor(function(self._value))
else:
return self
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] |
23,455 | tryme.tryme | raise_for_error |
Raise an exception if self is an instance of Failure. If the wrapped value is an
instance of Exeception or one of its subclasses, it is raised directly. The the
optional argument ``exception`` is specified, that type is raised with the wrapped
value as its argument. Otherwise, FailureError is raised. This method has no effect
is self is an instance of Success.
:param exception: (optional) type of Exception to raise
| def raise_for_error(self, exception=FailureError):
'''
Raise an exception if self is an instance of Failure. If the wrapped value is an
instance of Exeception or one of its subclasses, it is raised directly. The the
optional argument ``exception`` is specified, that type is raised with the wrapped
value as its argument. Otherwise, FailureError is raised. This method has no effect
is self is an instance of Success.
:param exception: (optional) type of Exception to raise
'''
if self.succeeded():
return
wrapped_value = self.get_failure()
if isinstance(wrapped_value, Exception):
raise wrapped_value
else:
raise exception(wrapped_value)
| (self, exception=<class 'tryme.tryme.FailureError'>) | [
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23,456 | tryme.tryme | succeeded | Return a Boolean that indicates if the value is an instance of Success
>>> Success(True).succeeded()
True
>>> Failure('fubar').succeeded()
False
| def succeeded(self):
"""Return a Boolean that indicates if the value is an instance of Success
>>> Success(True).succeeded()
True
>>> Failure('fubar').succeeded()
False
"""
return bool(self)
| (self) | [
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23,457 | tryme.tryme | to_console |
Write a message to the console. By convention, Success messages are written to stdout
and Failure messages are written to stderr. The Failure's `cause` is written to stderr
while the string repesentation of the Success's _value is written.
:param message: the message to print
:param err: (optional) if set to true the file defaults to ``stderr`` instead of ``stdout``.
:param nl: (optional) if set to `True` (the default) a newline is printed afterwards.
:param exit_err: (optional) if set to True, exit the running program with a non-zero exit code
:param exit_status: (optional) the numeric exist status to return if exit is True
| def to_console(self, nl=True, exit_err=False, exit_status=1):
'''
Write a message to the console. By convention, Success messages are written to stdout
and Failure messages are written to stderr. The Failure's `cause` is written to stderr
while the string repesentation of the Success's _value is written.
:param message: the message to print
:param err: (optional) if set to true the file defaults to ``stderr`` instead of ``stdout``.
:param nl: (optional) if set to `True` (the default) a newline is printed afterwards.
:param exit_err: (optional) if set to True, exit the running program with a non-zero exit code
:param exit_status: (optional) the numeric exist status to return if exit is True
'''
if self.succeeded():
to_console(self.message, nl=nl)
else:
to_console(self.message, nl=nl, err=True, exit_err=exit_err, exit_status=exit_status)
| (self, nl=True, exit_err=False, exit_status=1) | [
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] |
23,458 | tryme.tryme | update |
Update the Try with new properties but the same value. Returns a new :class:`Failure`
or :py:class:`Success` and does not actually update in place.
:param message: (optional) message to output to console if to_console is called.
If None, a string representation of the contained value is output.
Defaults to ``None``
:param start: (optional) start time for the operation, in seconds since the UNIX epoch
`time.time()` is typically used for this value. Defaults to ``None``.
:type start: int
:param end: (optional) end time for the operation, in seconds since the UNIX epoch
``time.time()`` is typically used for this value. Defaults to ``None``.
:type end: int
:param count: (optional) number of times the operation has been executed. Defaults to ``1``
:type end: int
| def update(self, message=None, start=None, end=None, count=1):
'''
Update the Try with new properties but the same value. Returns a new :class:`Failure`
or :py:class:`Success` and does not actually update in place.
:param message: (optional) message to output to console if to_console is called.
If None, a string representation of the contained value is output.
Defaults to ``None``
:param start: (optional) start time for the operation, in seconds since the UNIX epoch
`time.time()` is typically used for this value. Defaults to ``None``.
:type start: int
:param end: (optional) end time for the operation, in seconds since the UNIX epoch
``time.time()`` is typically used for this value. Defaults to ``None``.
:type end: int
:param count: (optional) number of times the operation has been executed. Defaults to ``1``
:type end: int
'''
if (start is None and end is not None) or (end is None and start is not None):
raise InvalidTryError(
"The start and end argument must either be both None or not None")
message = message or self._message
# start = start or self._start does not work because start may == 0 and is therefore falsey
if start is None:
start = self._start
if end is None:
end = self._end
if count is None:
count = self._count
constructor = type(self)
return constructor(self._value, message=message, start=start, end=end, count=count)
| (self, message=None, start=None, end=None, count=1) | [
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23,459 | tryme.tryme | Failure | Failure of :py:class:`Try`. | class Failure(Try):
"""Failure of :py:class:`Try`."""
def __bool__(self):
# pylint: disable = no-self-use
return False
__nonzero__ = __bool__
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23,481 | tryme.tryme | Maybe | A wrapper for values that be None
>>> Some(42)
Some(42)
>>> Some([1, 2, 3])
Some([1, 2, 3])
>>> Some(Nothing)
Some(Nothing)
>>> Some(Some(2))
Some(Some(2))
>>> isinstance(Some(1), Maybe)
True
>>> isinstance(Nothing, Maybe)
True
>>> saving = 100
>>> spend = lambda cost: Nothing if cost > saving else Some(saving - cost)
>>> spend(90)
Some(10)
>>> spend(120)
Nothing
>>> safe_div = lambda a, b: Nothing if b == 0 else Some(a / b)
>>> safe_div(12.0, 6)
Some(2.0)
>>> safe_div(12.0, 0)
Nothing
Map operation with ``map``. Not that map only applies a function if the object is an
instance of Some. In the case of a Some, ``map`` returns the transformed value inside a Some.
No action is taken for a Nothing.
>>> inc = lambda n: n + 1
>>> Some(0)
Some(0)
>>> Some(0).map(inc)
Some(1)
>>> Some(0).map(inc).map(inc)
Some(2)
>>> Nothing.map(inc)
Nothing
Comparison with ``==``, as long as what's wrapped inside are comparable.
>>> Some(42) == Some(42)
True
>>> Some(42) == Nothing
False
>>> Nothing == Nothing
True
| class Maybe(Monad, Ord):
"""A wrapper for values that be None
>>> Some(42)
Some(42)
>>> Some([1, 2, 3])
Some([1, 2, 3])
>>> Some(Nothing)
Some(Nothing)
>>> Some(Some(2))
Some(Some(2))
>>> isinstance(Some(1), Maybe)
True
>>> isinstance(Nothing, Maybe)
True
>>> saving = 100
>>> spend = lambda cost: Nothing if cost > saving else Some(saving - cost)
>>> spend(90)
Some(10)
>>> spend(120)
Nothing
>>> safe_div = lambda a, b: Nothing if b == 0 else Some(a / b)
>>> safe_div(12.0, 6)
Some(2.0)
>>> safe_div(12.0, 0)
Nothing
Map operation with ``map``. Not that map only applies a function if the object is an
instance of Some. In the case of a Some, ``map`` returns the transformed value inside a Some.
No action is taken for a Nothing.
>>> inc = lambda n: n + 1
>>> Some(0)
Some(0)
>>> Some(0).map(inc)
Some(1)
>>> Some(0).map(inc).map(inc)
Some(2)
>>> Nothing.map(inc)
Nothing
Comparison with ``==``, as long as what's wrapped inside are comparable.
>>> Some(42) == Some(42)
True
>>> Some(42) == Nothing
False
>>> Nothing == Nothing
True
"""
@classmethod
def from_value(cls, value):
"""Wraps ``value`` in a :class:`Maybe` monad.
Returns a :class:`Some` if the value is evaluated as true.
:data:`Nothing` otherwise.
"""
return cls.unit(value) if value else Nothing
def get(self):
'''Return the wrapped value if this is Some otherwise throws an exception'''
if self.is_empty():
raise NoSuchElementError('You cannot call `get` on Nothing')
else:
return self._value
def get_or_else(self, default):
'''Returns the value from this Some or the given default argument otherwise.'''
if self.is_empty():
return default
else:
return self._value
def filter(self, predicate):
'''
Returns Some(value) if this is a Some and the value satisfies the given predicate.
:param predicate: a function that takes the wrapped value as its argument and returns a boolean value
:rtype: :class:`Maybe <Maybe>` object
:return: Maybe
'''
if self.is_empty():
return self
else:
wrapped_value = self.get()
if predicate(wrapped_value):
return self
else:
return Nothing
def map(self, function):
"""The map operation of :class:`Maybe`.
Applies function to the value if and only if this is a :class:`Some`.
"""
constructor = type(self)
return self and constructor(function(self._value))
def is_empty(self):
'''Returns true, if this is None, otherwise false, if this is Some.'''
return self is Nothing
def is_defined(self):
'''Returns true, if this is Some, otherwise false, if this is Nothing.'''
return self is not Nothing
def __bool__(self):
return self is not Nothing
__nonzero__ = __bool__
def __repr__(self):
"""Customized Show."""
if self is Nothing:
return 'Nothing'
else:
return 'Some({})'.format(repr(self._value))
def __iter__(self):
if self is not Nothing:
yield self._value
| (value) | [
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23,482 | tryme.tryme | __bool__ | null | def __bool__(self):
return self is not Nothing
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23,486 | tryme.tryme | __init__ | null | def __init__(self, value):
self._value = value
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23,487 | tryme.tryme | __iter__ | null | def __iter__(self):
if self is not Nothing:
yield self._value
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23,489 | tryme.tryme | __lt__ | null | def __lt__(self, other):
if self is other:
return False
elif isinstance(other, type(self)):
return self._value < other._value
else:
fmt = "unorderable types: {} and {}'".format
raise TypeError(fmt(type(self), type(other)))
| (self, other) | [
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23,491 | tryme.tryme | __repr__ | Customized Show. | def __repr__(self):
"""Customized Show."""
if self is Nothing:
return 'Nothing'
else:
return 'Some({})'.format(repr(self._value))
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23,492 | tryme.tryme | filter |
Returns Some(value) if this is a Some and the value satisfies the given predicate.
:param predicate: a function that takes the wrapped value as its argument and returns a boolean value
:rtype: :class:`Maybe <Maybe>` object
:return: Maybe
| def filter(self, predicate):
'''
Returns Some(value) if this is a Some and the value satisfies the given predicate.
:param predicate: a function that takes the wrapped value as its argument and returns a boolean value
:rtype: :class:`Maybe <Maybe>` object
:return: Maybe
'''
if self.is_empty():
return self
else:
wrapped_value = self.get()
if predicate(wrapped_value):
return self
else:
return Nothing
| (self, predicate) | [
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23,493 | tryme.tryme | get | Return the wrapped value if this is Some otherwise throws an exception | def get(self):
'''Return the wrapped value if this is Some otherwise throws an exception'''
if self.is_empty():
raise NoSuchElementError('You cannot call `get` on Nothing')
else:
return self._value
| (self) | [
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23,494 | tryme.tryme | get_or_else | Returns the value from this Some or the given default argument otherwise. | def get_or_else(self, default):
'''Returns the value from this Some or the given default argument otherwise.'''
if self.is_empty():
return default
else:
return self._value
| (self, default) | [
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23,495 | tryme.tryme | is_defined | Returns true, if this is Some, otherwise false, if this is Nothing. | def is_defined(self):
'''Returns true, if this is Some, otherwise false, if this is Nothing.'''
return self is not Nothing
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23,496 | tryme.tryme | is_empty | Returns true, if this is None, otherwise false, if this is Some. | def is_empty(self):
'''Returns true, if this is None, otherwise false, if this is Some.'''
return self is Nothing
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23,497 | tryme.tryme | map | The map operation of :class:`Maybe`.
Applies function to the value if and only if this is a :class:`Some`.
| def map(self, function):
"""The map operation of :class:`Maybe`.
Applies function to the value if and only if this is a :class:`Some`.
"""
constructor = type(self)
return self and constructor(function(self._value))
| (self, function) | [
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23,515 | tryme.tryme | Stop |
Stop of :py:class:`Success`.
A handy alias of :py:class:`Success` to indicate that an operation should **not** be retried
| class Stop(Success):
"""
Stop of :py:class:`Success`.
A handy alias of :py:class:`Success` to indicate that an operation should **not** be retried
"""
pass
| (value, message=None, start=None, end=None, count=1) | [
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23,516 | tryme.tryme | __bool__ | null | def __bool__(self):
# pylint: disable = no-self-use
return True
| (self) | [
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23,536 | tryme.tryme | Success | Success of :py:class:`Try`. | class Success(Try):
"""Success of :py:class:`Try`."""
def __bool__(self):
# pylint: disable = no-self-use
return True
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23,557 | tryme.tryme | Try | A wrapper for operations that may fail
Represents values/computations with two possibilities.
:param value: value to contain
:param message: (optional) message to output to console if to_console is called.
If None, a string representation of the contained value is output.
Defaults to ``None``
:param start: (optional) start time for the operation, in seconds since the UNIX epoch
`time.time()` is typically used for this value. Defaults to ``None``.
:type start: int
:param end: (optional) end time for the operation, in seconds since the UNIX epoch
``time.time()`` is typically used for this value. Defaults to ``None``.
:type end: int
:param count: (optional) number of times the operation has been executed. Defaults to ``1``
:type end: int
Usage::
>>> Success(42)
Success(42)
>>> Success([1, 2, 3])
Success([1, 2, 3])
>>> Failure('Error')
Failure('Error')
>>> Success(Failure('Error'))
Success(Failure('Error'))
>>> isinstance(Success(1), Try)
True
>>> isinstance(Failure(None), Try)
True
>>> saving = 100
>>> insolvent = Failure('I am insolvent')
>>> spend = lambda cost: insolvent if cost > saving else Success(saving - cost)
>>> spend(90)
Success(10)
>>> spend(120)
Failure('I am insolvent')
Map operation with ``map``, applies function to value only if it is a Success and returns a Success
>>> inc = lambda n: n + 1
>>> Success(0)
Success(0)
>>> Success(0).map(inc)
Success(1)
>>> Success(0).map(inc).map(inc)
Success(2)
>>> Failure(0).map(inc)
Failure(0)
Comparison with ``==``, as long as they are the same type and what's
wrapped inside are comparable.
>>> Failure(42) == Failure(42)
True
>>> Success(42) == Success(42)
True
>>> Failure(42) == Success(42)
False
A :py:class:`Failure` is less than a :py:class:`Success`, or compare the two by
the values inside if thay are of the same type.
>>> Failure(42) < Success(42)
True
>>> Success(0) > Failure(100)
True
>>> Failure('Error message') > Success(42)
False
>>> Failure(100) > Failure(42)
True
>>> Success(-2) < Success(-1)
True
| class Try(Monad, Ord):
"""A wrapper for operations that may fail
Represents values/computations with two possibilities.
:param value: value to contain
:param message: (optional) message to output to console if to_console is called.
If None, a string representation of the contained value is output.
Defaults to ``None``
:param start: (optional) start time for the operation, in seconds since the UNIX epoch
`time.time()` is typically used for this value. Defaults to ``None``.
:type start: int
:param end: (optional) end time for the operation, in seconds since the UNIX epoch
``time.time()`` is typically used for this value. Defaults to ``None``.
:type end: int
:param count: (optional) number of times the operation has been executed. Defaults to ``1``
:type end: int
Usage::
>>> Success(42)
Success(42)
>>> Success([1, 2, 3])
Success([1, 2, 3])
>>> Failure('Error')
Failure('Error')
>>> Success(Failure('Error'))
Success(Failure('Error'))
>>> isinstance(Success(1), Try)
True
>>> isinstance(Failure(None), Try)
True
>>> saving = 100
>>> insolvent = Failure('I am insolvent')
>>> spend = lambda cost: insolvent if cost > saving else Success(saving - cost)
>>> spend(90)
Success(10)
>>> spend(120)
Failure('I am insolvent')
Map operation with ``map``, applies function to value only if it is a Success and returns a Success
>>> inc = lambda n: n + 1
>>> Success(0)
Success(0)
>>> Success(0).map(inc)
Success(1)
>>> Success(0).map(inc).map(inc)
Success(2)
>>> Failure(0).map(inc)
Failure(0)
Comparison with ``==``, as long as they are the same type and what's
wrapped inside are comparable.
>>> Failure(42) == Failure(42)
True
>>> Success(42) == Success(42)
True
>>> Failure(42) == Success(42)
False
A :py:class:`Failure` is less than a :py:class:`Success`, or compare the two by
the values inside if thay are of the same type.
>>> Failure(42) < Success(42)
True
>>> Success(0) > Failure(100)
True
>>> Failure('Error message') > Success(42)
False
>>> Failure(100) > Failure(42)
True
>>> Success(-2) < Success(-1)
True
"""
def __init__(self, value, message=None, start=None, end=None, count=1):
super(Try, self).__init__(value)
self._message = message
self._start = start
self._end = end
self._count = count
if (start is None and end is not None) or (end is None and start is not None):
raise InvalidTryError(
"The start and end argument must either be both None or not None")
if type(self) is Try:
raise NotImplementedError('Please use Failure or Success instead')
def map(self, function):
"""The map operation of :py:class:`Try` to Success instances
Applies function to the value if and only if this is a
:py:class:`Success`.
"""
constructor = type(self)
if self.succeeded():
return constructor(function(self._value))
else:
return self
def map_failure(self, function):
"""The map operation of :py:class:`Try` to Failure instances
Applies function to the value if and only if this is a
:py:class:`Success`.
"""
constructor = type(self)
if self.failed():
return constructor(function(self._value))
else:
return self
def get(self):
'''Gets the Success value if this is a Success otherwise throws an exception'''
if self.succeeded():
return self._value
else:
raise NoSuchElementError('You cannot call `get` on a Failure, use `get_failure` instead')
def get_failure(self):
'''Gets the Failure value if this is a Failure otherwise throws an exception'''
if self.failed():
return self._value
else:
raise NoSuchElementError('You cannot call `get_failure` on a Success, use `get` instead')
def get_or_else(self, default):
'''Returns the value from this Success or the given default argument if this is a Failure.'''
if self.succeeded():
return self._value
else:
return default
def succeeded(self):
"""Return a Boolean that indicates if the value is an instance of Success
>>> Success(True).succeeded()
True
>>> Failure('fubar').succeeded()
False
"""
return bool(self)
def failed(self):
"""Return a Boolean that indicates if the value is an instance of Failure
>>> Failure('shit is fucked up').failed()
True
>>> Success('it worked!').failed()
False
"""
return not(bool(self))
@property
def message(self):
'''
Return the message for the Try. If the ``message`` argument was provided to the constructor
that value is returned. Otherwise the string representation of the contained value is returened
'''
if self._message is not None:
return self._message
else:
return str(self._value)
@property
def start(self):
'''
Start time of the operation in seconds since the UNIX epoch if specified in
the constructor or with the ``update`` method, ``None`` otherwise
'''
return self._start
@property
def end(self):
'''
End time of the operation in seconds since the UNIX epoch if specified in
the constructor or with the ``update`` method, ``None`` otherwise
'''
return self._end
@property
def elapsed(self):
'''
End time of the operation in seconds since the UNIX epoch if the start and end arguments
were specified in the constructor or with the ``update`` method, ``None`` otherwise
'''
if self._end is None and self._start is None:
return None
return self.end - self.start
@property
def count(self):
'''Number of times the operation has been tried'''
return self._count
def update(self, message=None, start=None, end=None, count=1):
'''
Update the Try with new properties but the same value. Returns a new :class:`Failure`
or :py:class:`Success` and does not actually update in place.
:param message: (optional) message to output to console if to_console is called.
If None, a string representation of the contained value is output.
Defaults to ``None``
:param start: (optional) start time for the operation, in seconds since the UNIX epoch
`time.time()` is typically used for this value. Defaults to ``None``.
:type start: int
:param end: (optional) end time for the operation, in seconds since the UNIX epoch
``time.time()`` is typically used for this value. Defaults to ``None``.
:type end: int
:param count: (optional) number of times the operation has been executed. Defaults to ``1``
:type end: int
'''
if (start is None and end is not None) or (end is None and start is not None):
raise InvalidTryError(
"The start and end argument must either be both None or not None")
message = message or self._message
# start = start or self._start does not work because start may == 0 and is therefore falsey
if start is None:
start = self._start
if end is None:
end = self._end
if count is None:
count = self._count
constructor = type(self)
return constructor(self._value, message=message, start=start, end=end, count=count)
def to_console(self, nl=True, exit_err=False, exit_status=1):
'''
Write a message to the console. By convention, Success messages are written to st | (value, message=None, start=None, end=None, count=1) | [
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23,577 | tryme.tryme | retry |
Function that wraps a callable with a retry loop. The callable should only return
:class:Failure, :class:Success, or raise an exception. This function can
be used as a decorator or directly wrap a function. This method returns a
a result object which is an instance of py:class:`Success` or py:class:`Failure`.
This function updates the result with the time of the first attempt, the time
of the last attempt, and the total count of attempts
:param acallable: object that can be called
:type acallable: function
:param timeout: (optional) maximum period, in seconds, to wait until an individual try succeeds.
Defaults to ``300`` seconds.
:type timeout: int
:param delay: (optional) delay between retries in seconds. Defaults to ``5`` seconds.
:type delay: int
:param status_callback: (optional) callback to invoke after each retry, is passed the result
as an argument. Defaults to ``None``.
:type status_callback: function
Usage::
>>> deadline = time.time() + 300
>>> dinner_iterator = iter([False, False, True])
>>> def dinner_is_ready():
... return next(dinner_iterator)
>>> breakfast_iterator = iter([False, False, True])
>>> def breakfast_is_ready():
... return next(breakfast_iterator)
>>> @retry
... def wait_for_dinner():
... if dinner_is_ready():
... return Success("Ready!")
... else:
... return Failure("not ready yet")
>>> result = wait_for_dinner() # doctest: +SKIP
>>> result # doctest: +SKIP
Success("Ready!")
>>> result.elapsed # doctest: +SKIP
8
>>> result.count # doctest: +SKIP
3
>>> @retry
... def wait_for_breakfast():
... if breakfast_is_ready():
... return Success("Ready!")
... else:
... return Failure("not ready yet")
>>> result = wait_for_breakfast() # doctest: +SKIP
Success("Ready!")
>>> result.elapsed # doctest: +SKIP
8
>>> result.count # doctest: +SKIP
3
The names py:class:`Success` and py:class:`Failure` do not always
map well to operations that need to be retried. The subclasses
py:class:`Stop` and py:class:`Again` can be more intuitive.::
>>> breakfast_iterator = iter([False, False, True])
>>> def breakfast_is_ready():
... return next(breakfast_iterator)
>>> @retry
... def wait_for_breakfast():
... if breakfast_is_ready():
... return Stop("Ready!")
... else:
... return Again("not ready yet")
| def retry(*args, **kwargs):
'''
Function that wraps a callable with a retry loop. The callable should only return
:class:Failure, :class:Success, or raise an exception. This function can
be used as a decorator or directly wrap a function. This method returns a
a result object which is an instance of py:class:`Success` or py:class:`Failure`.
This function updates the result with the time of the first attempt, the time
of the last attempt, and the total count of attempts
:param acallable: object that can be called
:type acallable: function
:param timeout: (optional) maximum period, in seconds, to wait until an individual try succeeds.
Defaults to ``300`` seconds.
:type timeout: int
:param delay: (optional) delay between retries in seconds. Defaults to ``5`` seconds.
:type delay: int
:param status_callback: (optional) callback to invoke after each retry, is passed the result
as an argument. Defaults to ``None``.
:type status_callback: function
Usage::
>>> deadline = time.time() + 300
>>> dinner_iterator = iter([False, False, True])
>>> def dinner_is_ready():
... return next(dinner_iterator)
>>> breakfast_iterator = iter([False, False, True])
>>> def breakfast_is_ready():
... return next(breakfast_iterator)
>>> @retry
... def wait_for_dinner():
... if dinner_is_ready():
... return Success("Ready!")
... else:
... return Failure("not ready yet")
>>> result = wait_for_dinner() # doctest: +SKIP
>>> result # doctest: +SKIP
Success("Ready!")
>>> result.elapsed # doctest: +SKIP
8
>>> result.count # doctest: +SKIP
3
>>> @retry
... def wait_for_breakfast():
... if breakfast_is_ready():
... return Success("Ready!")
... else:
... return Failure("not ready yet")
>>> result = wait_for_breakfast() # doctest: +SKIP
Success("Ready!")
>>> result.elapsed # doctest: +SKIP
8
>>> result.count # doctest: +SKIP
3
The names py:class:`Success` and py:class:`Failure` do not always
map well to operations that need to be retried. The subclasses
py:class:`Stop` and py:class:`Again` can be more intuitive.::
>>> breakfast_iterator = iter([False, False, True])
>>> def breakfast_is_ready():
... return next(breakfast_iterator)
>>> @retry
... def wait_for_breakfast():
... if breakfast_is_ready():
... return Stop("Ready!")
... else:
... return Again("not ready yet")
'''
# if used as a decorator without arguments `@retry`, the first argument is
# is the decorated function
# If used as a decorator with keyword arguments, say `@retry(timeout=900)`
# the args are empty and the decorated function is supplied sometime later
# as the argument to the decorator. Confusing!
acallable = None
if len(args) > 0:
acallable = args[0]
if acallable is not None:
return retry_wrapper(acallable, **kwargs)
else:
def decorator(func):
return retry_wrapper(func, **kwargs)
return decorator
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23,578 | tryme.tryme | tick_counter | null | def tick_counter(column_limit=80):
counter = Counter()
def write_tick(log):
sys.stdout.write('.')
counter.increment()
# if we have reached the max # of columns, write a newline and reset the counter
if counter.count == column_limit:
sys.stdout.write(os.linesep)
counter.reset()
sys.stdout.flush()
return write_tick
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23,579 | tryme.tryme | to_console |
Write a message to the console
:param message: the message to print
:param err: (optional) if set to true the file defaults to ``stderr`` instead of ``stdout``.
:param nl: (optional) if set to `True` (the default) a newline is printed afterwards.
:param exit_err: (optional) if set to True, exit the running program with a non-zero exit code
:param exit_status: (optional) the numeric exist status to return if exit is True
| def to_console(message=None, nl=True, err=False, exit_err=False, exit_status=1):
'''
Write a message to the console
:param message: the message to print
:param err: (optional) if set to true the file defaults to ``stderr`` instead of ``stdout``.
:param nl: (optional) if set to `True` (the default) a newline is printed afterwards.
:param exit_err: (optional) if set to True, exit the running program with a non-zero exit code
:param exit_status: (optional) the numeric exist status to return if exit is True
'''
if err:
stream = sys.stderr
else:
stream = sys.stdout
stream.write(message)
if nl:
stream.write(os.linesep)
stream.flush()
if exit_err:
sys.exit(exit_status)
| (message=None, nl=True, err=False, exit_err=False, exit_status=1) | [
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23,580 | tryme.tryme | try_out |
Executes a callable and wraps a raised exception in a Failure class. If an exception was
not raised, a Success is returned. If the keyword argument ``exception`` is not None,
only wrap the specified exception. Raise all other exceptions.
The stacktrace related to the exception is added to the wrapped exception
as the `stracktrace` property
:param callable: A callable reference, should return a value other than None
:rtype Try: a Success or Failure
| def try_out(callable, exception=None):
'''
Executes a callable and wraps a raised exception in a Failure class. If an exception was
not raised, a Success is returned. If the keyword argument ``exception`` is not None,
only wrap the specified exception. Raise all other exceptions.
The stacktrace related to the exception is added to the wrapped exception
as the `stracktrace` property
:param callable: A callable reference, should return a value other than None
:rtype Try: a Success or Failure
'''
if exception is None:
catch_exception = Exception
else:
catch_exception = exception
try:
return Success(callable())
except catch_exception as e:
stacktrace = _get_stacktrace()
e.stacktrace = stacktrace
return Failure(e)
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23,582 | panphon.featuretable | FeatureTable | null | class FeatureTable(object):
TRIE_LEAF_MARKER = None
def __init__(self, feature_set='spe+'):
bases_fn, weights_fn = feature_sets[feature_set]
self.weights = self._read_weights(weights_fn)
self.segments, self.seg_dict, self.names = self._read_bases(bases_fn, self.weights)
self.seg_regex = self._build_seg_regex()
self.seg_trie = self._build_seg_trie()
self.longest_seg = max([len(x) for x in self.seg_dict.keys()])
self.xsampa = xsampa.XSampa()
@staticmethod
def normalize(data):
return unicodedata.normalize('NFD', data)
def _read_bases(self, fn, weights):
fn = pkg_resources.resource_filename(__name__, fn)
segments = []
with open(fn, 'rb') as f:
reader = csv.reader(f, encoding='utf-8')
header = next(reader)
names = header[1:]
for row in reader:
ipa = FeatureTable.normalize(row[0])
vals = [{'-': -1, '0': 0, '+': 1}[x] for x in row[1:]]
vec = Segment(names,
{n: v for (n, v) in zip(names, vals)},
weights=weights)
segments.append((ipa, vec))
seg_dict = dict(segments)
return segments, seg_dict, names
def _read_weights(self, weights_fn):
weights_fn = pkg_resources.resource_filename(__name__, weights_fn)
with open(weights_fn, 'rb') as f:
reader = csv.reader(f, encoding='utf-8')
next(reader)
weights = [float(x) for x in next(reader)]
return weights
def _build_seg_regex(self):
segs = sorted(self.seg_dict.keys(), key=lambda x: len(x), reverse=True)
return re.compile(r'(?P<all>{})'.format('|'.join(segs)))
def _build_seg_trie(self):
trie = {}
for seg in self.seg_dict.keys():
node = trie
for char in seg:
if char not in node:
node[char] = {}
node = node[char]
node[self.TRIE_LEAF_MARKER] = None
return trie
def fts(self, ipa, normalize=True):
if normalize:
ipa = FeatureTable.normalize(ipa)
if ipa in self.seg_dict:
return self.seg_dict[ipa]
else:
return None
def longest_one_seg_prefix(self, word, normalize=True):
"""Return longest Unicode IPA prefix of a word
Args:
word (unicode): input word as Unicode IPA string
normalize (bool): whether the word should be pre-normalized
Returns:
unicode: longest single-segment prefix of `word` in database
"""
if normalize:
word = FeatureTable.normalize(word)
last_found_length = 0
node = self.seg_trie
for pos in range(len(word) + 1):
if pos == len(word) or word[pos] not in node:
return word[:last_found_length]
node = node[word[pos]]
if self.TRIE_LEAF_MARKER in node:
last_found_length = pos + 1
def ipa_segs(self, word, normalize=True):
"""Returns a list of segments from a word
Args:
word (unicode): input word as Unicode IPA string
normalize (bool): whether to pre-normalize the word
Returns:
list: list of strings corresponding to segments found in `word`
"""
if normalize:
word = FeatureTable.normalize(word)
return self._segs(word, include_invalid=False, normalize=normalize)
def validate_word(self, word, normalize=True):
"""Returns True if `word` consists exhaustively of valid IPA segments
Args:
word (unicode): input word as Unicode IPA string
normalize (bool): whether to pre-normalize the word
Returns:
bool: True if `word` can be divided exhaustively into IPA segments
that exist in the database
"""
return not self._segs(word, include_valid=False, include_invalid=True, normalize=normalize)
def word_fts(self, word, normalize=True):
"""Return a list of Segment objects corresponding to the segments in
word.
Args:
word (unicode): word consisting of IPA segments
normalize (bool): whether to pre-normalize the word
Returns:
list: list of Segment objects corresponding to word
"""
return [self.fts(ipa, False) for ipa in self.ipa_segs(word, normalize)]
def word_array(self, ft_names, word, normalize=True):
"""Return a nparray of features namd in ft_name for the segments in word
Args:
ft_names (list): strings naming subset of features in self.names
word (unicode): word to be analyzed
normalize (bool): whether to pre-normalize the word
Returns:
ndarray: segments in rows, features in columns as [-1, 0, 1]
"""
return numpy.array([s.numeric(ft_names) for s in self.word_fts(word, normalize)])
def bag_of_features(self, word, normalize=True):
"""Return a vector in which each dimension is the number of times a feature-value pair occurs in the word
Args:
word (unicode): word consisting of IPA segments
normalize (bool): whether to pre-normalize the word
Returns:
array: array of integers corresponding to a bag of feature-value pair counts
"""
word_features = self.word_fts(word, normalize)
features = [v + f for f in self.names for v in ['+', '0', '-']]
bag = collections.OrderedDict()
for f in features:
bag[f] = 0
vdict = {-1: '-', 0: '0', 1: '+'}
for w in word_features:
for (f, v) in w.items():
bag[vdict[v] + f] += 1
return numpy.array(list(bag.values()))
def seg_known(self, segment, normalize=True):
"""Return True if `segment` is in segment <=> features database
Args:
segment (unicode): consonant or vowel
normalize (bool): whether to pre-normalize the segment
Returns:
bool: True, if `segment` is in the database
"""
if normalize:
segment = FeatureTable.normalize(segment)
return segment in self.seg_dict
def segs_safe(self, word, normalize=True):
"""Return a list of segments (as strings) from a word
Characters that are not valid segments are included in the list as
individual characters.
Args:
word (unicode): word as an IPA string
normalize (bool): whether to pre-normalize the word
Returns:
list: list of Unicode IPA strings corresponding to segments in
`word`
"""
if normalize:
word = FeatureTable.normalize(word)
return self._segs(word, include_invalid=True, normalize=normalize)
def _segs(self, word, *, include_valid=True, include_invalid, normalize):
if normalize:
word = FeatureTable.normalize(word)
segs = []
while word:
m = self.longest_one_seg_prefix(word, False)
if m:
if include_valid:
segs.append(m)
word = word[len(m):]
else:
if include_invalid:
segs.append(word[0])
word = word[1:]
return segs
def filter_segs(self, segs, normalize=True):
"""Given list of strings, return only those which are valid segments
Args:
segs (list): list of IPA Unicode strings
normalize (bool): whether to pre-normalize the segments
Return:
list: list of IPA Unicode strings identical to `segs` but with
invalid segments filtered out
"""
return list(filter(lambda seg: self.seg_known(seg, normalize), segs))
def filter_string(self, word, normalize=True):
"""Return a string like the input but containing only legal IPA segments
Args:
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23,583 | panphon.featuretable | __init__ | null | def __init__(self, feature_set='spe+'):
bases_fn, weights_fn = feature_sets[feature_set]
self.weights = self._read_weights(weights_fn)
self.segments, self.seg_dict, self.names = self._read_bases(bases_fn, self.weights)
self.seg_regex = self._build_seg_regex()
self.seg_trie = self._build_seg_trie()
self.longest_seg = max([len(x) for x in self.seg_dict.keys()])
self.xsampa = xsampa.XSampa()
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23,584 | panphon.featuretable | _build_seg_regex | null | def _build_seg_regex(self):
segs = sorted(self.seg_dict.keys(), key=lambda x: len(x), reverse=True)
return re.compile(r'(?P<all>{})'.format('|'.join(segs)))
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-0.007563695777207613
] |
23,585 | panphon.featuretable | _build_seg_trie | null | def _build_seg_trie(self):
trie = {}
for seg in self.seg_dict.keys():
node = trie
for char in seg:
if char not in node:
node[char] = {}
node = node[char]
node[self.TRIE_LEAF_MARKER] = None
return trie
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23,586 | panphon.featuretable | _read_bases | null | def _read_bases(self, fn, weights):
fn = pkg_resources.resource_filename(__name__, fn)
segments = []
with open(fn, 'rb') as f:
reader = csv.reader(f, encoding='utf-8')
header = next(reader)
names = header[1:]
for row in reader:
ipa = FeatureTable.normalize(row[0])
vals = [{'-': -1, '0': 0, '+': 1}[x] for x in row[1:]]
vec = Segment(names,
{n: v for (n, v) in zip(names, vals)},
weights=weights)
segments.append((ipa, vec))
seg_dict = dict(segments)
return segments, seg_dict, names
| (self, fn, weights) | [
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23,587 | panphon.featuretable | _read_weights | null | def _read_weights(self, weights_fn):
weights_fn = pkg_resources.resource_filename(__name__, weights_fn)
with open(weights_fn, 'rb') as f:
reader = csv.reader(f, encoding='utf-8')
next(reader)
weights = [float(x) for x in next(reader)]
return weights
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23,588 | panphon.featuretable | _segs | null | def _segs(self, word, *, include_valid=True, include_invalid, normalize):
if normalize:
word = FeatureTable.normalize(word)
segs = []
while word:
m = self.longest_one_seg_prefix(word, False)
if m:
if include_valid:
segs.append(m)
word = word[len(m):]
else:
if include_invalid:
segs.append(word[0])
word = word[1:]
return segs
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23,589 | panphon.featuretable | all_segs_matching_fts | Return segments matching a feature mask, a dict of features
Args:
ft_mask (list): feature mask dict, e.g. {'voi': -1, 'cont': 1}.
Returns:
list: segments matching `ft_mask`, sorted in reverse order by length
| def all_segs_matching_fts(self, ft_mask):
"""Return segments matching a feature mask, a dict of features
Args:
ft_mask (list): feature mask dict, e.g. {'voi': -1, 'cont': 1}.
Returns:
list: segments matching `ft_mask`, sorted in reverse order by length
"""
matching_segs = [ipa for (ipa, fts) in self.segments if fts >= ft_mask]
return sorted(matching_segs, key=lambda x: len(x), reverse=True)
| (self, ft_mask) | [
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0.019062375649809837,
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23,590 | panphon.featuretable | bag_of_features | Return a vector in which each dimension is the number of times a feature-value pair occurs in the word
Args:
word (unicode): word consisting of IPA segments
normalize (bool): whether to pre-normalize the word
Returns:
array: array of integers corresponding to a bag of feature-value pair counts
| def bag_of_features(self, word, normalize=True):
"""Return a vector in which each dimension is the number of times a feature-value pair occurs in the word
Args:
word (unicode): word consisting of IPA segments
normalize (bool): whether to pre-normalize the word
Returns:
array: array of integers corresponding to a bag of feature-value pair counts
"""
word_features = self.word_fts(word, normalize)
features = [v + f for f in self.names for v in ['+', '0', '-']]
bag = collections.OrderedDict()
for f in features:
bag[f] = 0
vdict = {-1: '-', 0: '0', 1: '+'}
for w in word_features:
for (f, v) in w.items():
bag[vdict[v] + f] += 1
return numpy.array(list(bag.values()))
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] |
23,591 | panphon.featuretable | compile_regex_from_str | Given a string describing features masks for a sequence of segments,
return a compiled regex matching the corresponding strings.
Args:
pat (str): feature masks, each enclosed in square brackets, in
which the features are delimited by any standard delimiter.
Returns:
Pattern: regular expression pattern equivalent to `pat`
| def compile_regex_from_str(self, pat):
"""Given a string describing features masks for a sequence of segments,
return a compiled regex matching the corresponding strings.
Args:
pat (str): feature masks, each enclosed in square brackets, in
which the features are delimited by any standard delimiter.
Returns:
Pattern: regular expression pattern equivalent to `pat`
"""
s2n = {'-': -1, '0': 0, '+': 1}
seg_res = []
for mat in re.findall(r'\[[^]]+\]+', pat):
ft_mask = {k: s2n[v] for (v, k) in re.findall(r'([+-])(\w+)', mat)}
segs = self.all_segs_matching_fts(ft_mask)
seg_res.append('({})'.format('|'.join(segs)))
regexp = ''.join(seg_res)
return re.compile(regexp)
| (self, pat) | [
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23,592 | panphon.featuretable | filter_segs | Given list of strings, return only those which are valid segments
Args:
segs (list): list of IPA Unicode strings
normalize (bool): whether to pre-normalize the segments
Return:
list: list of IPA Unicode strings identical to `segs` but with
invalid segments filtered out
| def filter_segs(self, segs, normalize=True):
"""Given list of strings, return only those which are valid segments
Args:
segs (list): list of IPA Unicode strings
normalize (bool): whether to pre-normalize the segments
Return:
list: list of IPA Unicode strings identical to `segs` but with
invalid segments filtered out
"""
return list(filter(lambda seg: self.seg_known(seg, normalize), segs))
| (self, segs, normalize=True) | [
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] |
23,593 | panphon.featuretable | filter_string | Return a string like the input but containing only legal IPA segments
Args:
word (unicode): input string to be filtered
normalize (bool): whether to pre-normalize the word (and return a normalized string)
Returns:
unicode: string identical to `word` but with invalid IPA segments
absent
| def filter_string(self, word, normalize=True):
"""Return a string like the input but containing only legal IPA segments
Args:
word (unicode): input string to be filtered
normalize (bool): whether to pre-normalize the word (and return a normalized string)
Returns:
unicode: string identical to `word` but with invalid IPA segments
absent
"""
return ''.join(self.ipa_segs(word, normalize))
| (self, word, normalize=True) | [
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23,594 | panphon.featuretable | fts | null | def fts(self, ipa, normalize=True):
if normalize:
ipa = FeatureTable.normalize(ipa)
if ipa in self.seg_dict:
return self.seg_dict[ipa]
else:
return None
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23,595 | panphon.featuretable | fts_contrast | Return `True` if there is a segment in `inv` that contrasts in feature
`ft_name`.
Args:
fs (dict): feature specifications used to filter `inv`.
ft_name (str): name of the feature where contrast must be present.
inv (list): collection of segments represented as Unicode strings.
normalize (bool): whether to pre-normalize the segments
Returns:
bool: `True` if two segments in `inv` are identical in features except
for feature `ft_name`
| def fts_contrast(self, fs, ft_name, inv, normalize=True):
"""Return `True` if there is a segment in `inv` that contrasts in feature
`ft_name`.
Args:
fs (dict): feature specifications used to filter `inv`.
ft_name (str): name of the feature where contrast must be present.
inv (list): collection of segments represented as Unicode strings.
normalize (bool): whether to pre-normalize the segments
Returns:
bool: `True` if two segments in `inv` are identical in features except
for feature `ft_name`
"""
inv_segs = filter(lambda x: x >= fs, map(lambda seg: self.fts(seg, normalize), inv))
for a in inv_segs:
for b in inv_segs:
if a != b:
if a.differing_specs(b) == [ft_name]:
return True
return False
| (self, fs, ft_name, inv, normalize=True) | [
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23,596 | panphon.featuretable | fts_count | Return the count of segments in an inventory matching a given
feature mask.
Args:
fts (dict): feature mask given as a set of (value, feature) tuples
inv (list): inventory of segments (as Unicode IPA strings)
normalize (bool): whether to pre-normalize the segments
Returns:
int: number of segments in `inv` that match feature mask `fts`
| def fts_count(self, fts, inv, normalize=True):
"""Return the count of segments in an inventory matching a given
feature mask.
Args:
fts (dict): feature mask given as a set of (value, feature) tuples
inv (list): inventory of segments (as Unicode IPA strings)
normalize (bool): whether to pre-normalize the segments
Returns:
int: number of segments in `inv` that match feature mask `fts`
"""
return len(list(filter(lambda s: self.fts(s, normalize) >= fts, inv)))
| (self, fts, inv, normalize=True) | [
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23,597 | panphon.featuretable | fts_intersection | Return a Segment object containing the features shared by all segments
Args:
segs (list): IPA segments
normalize (bool): whether to pre-normalize the segments
Returns:
Segment: the features shared by all segments in segs
| def fts_intersection(self, segs, normalize=True):
"""Return a Segment object containing the features shared by all segments
Args:
segs (list): IPA segments
normalize (bool): whether to pre-normalize the segments
Returns:
Segment: the features shared by all segments in segs
"""
return reduce(lambda a, b: a & b,
[self.fts(s, normalize) for s in self.filter_segs(segs, normalize)])
| (self, segs, normalize=True) | [
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23,598 | panphon.featuretable | fts_match_all | Return `True` if all segments in `inv` matches the features in fts
Args:
fts (dict): a dictionary of features
inv (list): a collection of IPA segments represented as Unicode
strings
normalize (bool): whether to pre-normalize the segments
Returns:
bool: `True` if all segments in `inv` matches the features in `fts`
| def fts_match_all(self, fts, inv, normalize=True):
"""Return `True` if all segments in `inv` matches the features in fts
Args:
fts (dict): a dictionary of features
inv (list): a collection of IPA segments represented as Unicode
strings
normalize (bool): whether to pre-normalize the segments
Returns:
bool: `True` if all segments in `inv` matches the features in `fts`
"""
return all([self.fts(s, normalize) >= fts for s in inv])
| (self, fts, inv, normalize=True) | [
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23,599 | panphon.featuretable | fts_match_any | Return `True` if any segments in `inv` matches the features in fts
Args:
fts (dict): a dictionary of features
inv (list): a collection of IPA segments represented as Unicode
strings
normalize (bool): whether to pre-normalize the segments
Returns:
bool: `True` if any segments in `inv` matches the features in `fts`
| def fts_match_any(self, fts, inv, normalize=True):
"""Return `True` if any segments in `inv` matches the features in fts
Args:
fts (dict): a dictionary of features
inv (list): a collection of IPA segments represented as Unicode
strings
normalize (bool): whether to pre-normalize the segments
Returns:
bool: `True` if any segments in `inv` matches the features in `fts`
"""
return any([self.fts(s, normalize) >= fts for s in inv])
| (self, fts, inv, normalize=True) | [
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23,600 | panphon.featuretable | ipa_segs | Returns a list of segments from a word
Args:
word (unicode): input word as Unicode IPA string
normalize (bool): whether to pre-normalize the word
Returns:
list: list of strings corresponding to segments found in `word`
| def ipa_segs(self, word, normalize=True):
"""Returns a list of segments from a word
Args:
word (unicode): input word as Unicode IPA string
normalize (bool): whether to pre-normalize the word
Returns:
list: list of strings corresponding to segments found in `word`
"""
if normalize:
word = FeatureTable.normalize(word)
return self._segs(word, include_invalid=False, normalize=normalize)
| (self, word, normalize=True) | [
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23,601 | panphon.featuretable | longest_one_seg_prefix | Return longest Unicode IPA prefix of a word
Args:
word (unicode): input word as Unicode IPA string
normalize (bool): whether the word should be pre-normalized
Returns:
unicode: longest single-segment prefix of `word` in database
| def longest_one_seg_prefix(self, word, normalize=True):
"""Return longest Unicode IPA prefix of a word
Args:
word (unicode): input word as Unicode IPA string
normalize (bool): whether the word should be pre-normalized
Returns:
unicode: longest single-segment prefix of `word` in database
"""
if normalize:
word = FeatureTable.normalize(word)
last_found_length = 0
node = self.seg_trie
for pos in range(len(word) + 1):
if pos == len(word) or word[pos] not in node:
return word[:last_found_length]
node = node[word[pos]]
if self.TRIE_LEAF_MARKER in node:
last_found_length = pos + 1
| (self, word, normalize=True) | [
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23,602 | panphon.featuretable | match_pattern | Implements fixed-width pattern matching.
Matches just in case pattern is the same length (in segments) as the
word and each of the segments in the pattern is a featural subset of the
corresponding segment in the word. Matches return the corresponding list
of feature sets; failed matches return None.
Args:
pat (list): pattern consisting of a sequence of feature dicts
word (unicode): a Unicode IPA string consisting of zero or more
segments
normalize (bool): whether to pre-normalize the word
Returns:
list: corresponding list of feature dicts or, if there is no match,
None
| def match_pattern(self, pat, word, normalize=True):
"""Implements fixed-width pattern matching.
Matches just in case pattern is the same length (in segments) as the
word and each of the segments in the pattern is a featural subset of the
corresponding segment in the word. Matches return the corresponding list
of feature sets; failed matches return None.
Args:
pat (list): pattern consisting of a sequence of feature dicts
word (unicode): a Unicode IPA string consisting of zero or more
segments
normalize (bool): whether to pre-normalize the word
Returns:
list: corresponding list of feature dicts or, if there is no match,
None
"""
segs = self.word_fts(word, normalize)
if len(pat) != len(segs):
return None
else:
if all([s >= p for (s, p) in zip(segs, pat)]):
return segs
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23,603 | panphon.featuretable | match_pattern_seq | Implements limited pattern matching. Matches just in case pattern is
the same length (in segments) as the constituent and each of the
segments in the pattern is a featural subset of the corresponding
segment in the word.
Args:
pat (list): pattern consisting of a list of feature dicts, e.g.
[{'voi': 1}]
const (list): a sequence of Unicode IPA strings consisting of zero
or more segments.
normalize (bool): whether to pre-normalize the segments
Returns:
bool: `True` if `const` matches `pat`
| def match_pattern_seq(self, pat, const, normalize=True):
"""Implements limited pattern matching. Matches just in case pattern is
the same length (in segments) as the constituent and each of the
segments in the pattern is a featural subset of the corresponding
segment in the word.
Args:
pat (list): pattern consisting of a list of feature dicts, e.g.
[{'voi': 1}]
const (list): a sequence of Unicode IPA strings consisting of zero
or more segments.
normalize (bool): whether to pre-normalize the segments
Returns:
bool: `True` if `const` matches `pat`
"""
segs = [self.fts(s, normalize) for s in const]
if len(pat) != len(segs):
return False
else:
return all([s >= p for (s, p) in zip(segs, pat)])
| (self, pat, const, normalize=True) | [
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] |
23,604 | panphon.featuretable | normalize | null | @staticmethod
def normalize(data):
return unicodedata.normalize('NFD', data)
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23,605 | panphon.featuretable | seg_known | Return True if `segment` is in segment <=> features database
Args:
segment (unicode): consonant or vowel
normalize (bool): whether to pre-normalize the segment
Returns:
bool: True, if `segment` is in the database
| def seg_known(self, segment, normalize=True):
"""Return True if `segment` is in segment <=> features database
Args:
segment (unicode): consonant or vowel
normalize (bool): whether to pre-normalize the segment
Returns:
bool: True, if `segment` is in the database
"""
if normalize:
segment = FeatureTable.normalize(segment)
return segment in self.seg_dict
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23,606 | panphon.featuretable | segment_to_vector | Given a Unicode IPA segment, return a list of feature specificiations
in canonical order.
Args:
seg (unicode): IPA consonant or vowel
normalize: whether to pre-normalize the segment
Returns:
list: feature specifications ('+'/'-'/'0') in the order from
`FeatureTable.names`
| def segment_to_vector(self, seg, normalize=True):
"""Given a Unicode IPA segment, return a list of feature specificiations
in canonical order.
Args:
seg (unicode): IPA consonant or vowel
normalize: whether to pre-normalize the segment
Returns:
list: feature specifications ('+'/'-'/'0') in the order from
`FeatureTable.names`
"""
return self.fts(seg, normalize).strings()
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23,607 | panphon.featuretable | segs_safe | Return a list of segments (as strings) from a word
Characters that are not valid segments are included in the list as
individual characters.
Args:
word (unicode): word as an IPA string
normalize (bool): whether to pre-normalize the word
Returns:
list: list of Unicode IPA strings corresponding to segments in
`word`
| def segs_safe(self, word, normalize=True):
"""Return a list of segments (as strings) from a word
Characters that are not valid segments are included in the list as
individual characters.
Args:
word (unicode): word as an IPA string
normalize (bool): whether to pre-normalize the word
Returns:
list: list of Unicode IPA strings corresponding to segments in
`word`
"""
if normalize:
word = FeatureTable.normalize(word)
return self._segs(word, include_invalid=True, normalize=normalize)
| (self, word, normalize=True) | [
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23,608 | panphon.featuretable | validate_word | Returns True if `word` consists exhaustively of valid IPA segments
Args:
word (unicode): input word as Unicode IPA string
normalize (bool): whether to pre-normalize the word
Returns:
bool: True if `word` can be divided exhaustively into IPA segments
that exist in the database
| def validate_word(self, word, normalize=True):
"""Returns True if `word` consists exhaustively of valid IPA segments
Args:
word (unicode): input word as Unicode IPA string
normalize (bool): whether to pre-normalize the word
Returns:
bool: True if `word` can be divided exhaustively into IPA segments
that exist in the database
"""
return not self._segs(word, include_valid=False, include_invalid=True, normalize=normalize)
| (self, word, normalize=True) | [
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] |
23,609 | panphon.featuretable | word_array | Return a nparray of features namd in ft_name for the segments in word
Args:
ft_names (list): strings naming subset of features in self.names
word (unicode): word to be analyzed
normalize (bool): whether to pre-normalize the word
Returns:
ndarray: segments in rows, features in columns as [-1, 0, 1]
| def word_array(self, ft_names, word, normalize=True):
"""Return a nparray of features namd in ft_name for the segments in word
Args:
ft_names (list): strings naming subset of features in self.names
word (unicode): word to be analyzed
normalize (bool): whether to pre-normalize the word
Returns:
ndarray: segments in rows, features in columns as [-1, 0, 1]
"""
return numpy.array([s.numeric(ft_names) for s in self.word_fts(word, normalize)])
| (self, ft_names, word, normalize=True) | [
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23,610 | panphon.featuretable | word_fts | Return a list of Segment objects corresponding to the segments in
word.
Args:
word (unicode): word consisting of IPA segments
normalize (bool): whether to pre-normalize the word
Returns:
list: list of Segment objects corresponding to word
| def word_fts(self, word, normalize=True):
"""Return a list of Segment objects corresponding to the segments in
word.
Args:
word (unicode): word consisting of IPA segments
normalize (bool): whether to pre-normalize the word
Returns:
list: list of Segment objects corresponding to word
"""
return [self.fts(ipa, False) for ipa in self.ipa_segs(word, normalize)]
| (self, word, normalize=True) | [
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23,611 | panphon.featuretable | word_to_vector_list | Return a list of feature vectors, given a Unicode IPA word.
Args:
word (unicode): string in IPA (or X-SAMPA, provided `xsampa` is True)
numeric (bool): if True, return features as numeric values instead
of strings
xsampa (bool): whether the word is in X-SAMPA instead of IPA
normalize: whether to pre-normalize the word (applies to IPA only)
Returns:
list: a list of lists of '+'/'-'/'0' or 1/-1/0
| def word_to_vector_list(self, word, numeric=False, xsampa=False, normalize=True):
"""Return a list of feature vectors, given a Unicode IPA word.
Args:
word (unicode): string in IPA (or X-SAMPA, provided `xsampa` is True)
numeric (bool): if True, return features as numeric values instead
of strings
xsampa (bool): whether the word is in X-SAMPA instead of IPA
normalize: whether to pre-normalize the word (applies to IPA only)
Returns:
list: a list of lists of '+'/'-'/'0' or 1/-1/0
"""
if xsampa:
word = self.xsampa.convert(word)
segs = self.word_fts(word, normalize or xsampa)
if numeric:
tensor = [x.numeric() for x in segs]
else:
tensor = [x.strings() for x in segs]
return tensor
| (self, word, numeric=False, xsampa=False, normalize=True) | [
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23,615 | panphon._panphon | pat | Given a string `p` with feature matrices (features grouped with square
brackets into segments, return a list of sets of (value, feature) tuples.
Args:
p (str): list of feature matrices as strings
Return:
list: list of sets of (value, feature) tuples
| def pat(p):
"""Given a string `p` with feature matrices (features grouped with square
brackets into segments, return a list of sets of (value, feature) tuples.
Args:
p (str): list of feature matrices as strings
Return:
list: list of sets of (value, feature) tuples
"""
pattern = []
for matrix in [m.group(0) for m in MT_REGEX.finditer(p)]:
segment = set([m.groups() for m in FT_REGEX.finditer(matrix)])
pattern.append(segment)
return pattern
| (p) | [
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23,618 | iso8601.iso8601 | FixedOffset | null | def FixedOffset(
offset_hours: float, offset_minutes: float, name: str
) -> datetime.timezone:
return datetime.timezone(
datetime.timedelta(hours=offset_hours, minutes=offset_minutes), name
)
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] |
23,619 | iso8601.iso8601 | ParseError | Raised when there is a problem parsing a date string | class ParseError(ValueError):
"""Raised when there is a problem parsing a date string"""
| null | [
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23,620 | iso8601.iso8601 | is_iso8601 | Check if a string matches an ISO 8601 format.
:param datestring: The string to check for validity
:returns: True if the string matches an ISO 8601 format, False otherwise
| def is_iso8601(datestring: str) -> bool:
"""Check if a string matches an ISO 8601 format.
:param datestring: The string to check for validity
:returns: True if the string matches an ISO 8601 format, False otherwise
"""
try:
m = ISO8601_REGEX.match(datestring)
return bool(m)
except Exception as e:
raise ParseError(e)
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] |
23,622 | iso8601.iso8601 | parse_date | Parses ISO 8601 dates into datetime objects
The timezone is parsed from the date string. However it is quite common to
have dates without a timezone (not strictly correct). In this case the
default timezone specified in default_timezone is used. This is UTC by
default.
:param datestring: The date to parse as a string
:param default_timezone: A datetime tzinfo instance to use when no timezone
is specified in the datestring. If this is set to
None then a naive datetime object is returned.
:returns: A datetime.datetime instance
:raises: ParseError when there is a problem parsing the date or
constructing the datetime instance.
| def parse_date(
datestring: str, default_timezone: typing.Optional[datetime.timezone] = UTC
) -> datetime.datetime:
"""Parses ISO 8601 dates into datetime objects
The timezone is parsed from the date string. However it is quite common to
have dates without a timezone (not strictly correct). In this case the
default timezone specified in default_timezone is used. This is UTC by
default.
:param datestring: The date to parse as a string
:param default_timezone: A datetime tzinfo instance to use when no timezone
is specified in the datestring. If this is set to
None then a naive datetime object is returned.
:returns: A datetime.datetime instance
:raises: ParseError when there is a problem parsing the date or
constructing the datetime instance.
"""
try:
m = ISO8601_REGEX.match(datestring)
except Exception as e:
raise ParseError(e)
if not m:
raise ParseError(f"Unable to parse date string {datestring!r}")
# Drop any Nones from the regex matches
# TODO: check if there's a way to omit results in regexes
groups: typing.Dict[str, str] = {
k: v for k, v in m.groupdict().items() if v is not None
}
try:
return datetime.datetime(
year=int(groups.get("year", 0)),
month=int(groups.get("month", groups.get("monthdash", 1))),
day=int(groups.get("day", groups.get("daydash", 1))),
hour=int(groups.get("hour", 0)),
minute=int(groups.get("minute", 0)),
second=int(groups.get("second", 0)),
microsecond=int(
Decimal(f"0.{groups.get('second_fraction', 0)}") * Decimal("1000000.0")
),
tzinfo=parse_timezone(groups, default_timezone=default_timezone),
)
except Exception as e:
raise ParseError(e)
| (datestring: str, default_timezone: Optional[datetime.timezone] = datetime.timezone.utc) -> datetime.datetime | [
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23,623 | docutils.parsers.rst | Directive |
Base class for reStructuredText directives.
The following attributes may be set by subclasses. They are
interpreted by the directive parser (which runs the directive
class):
- `required_arguments`: The number of required arguments (default:
0).
- `optional_arguments`: The number of optional arguments (default:
0).
- `final_argument_whitespace`: A boolean, indicating if the final
argument may contain whitespace (default: False).
- `option_spec`: A dictionary, mapping known option names to
conversion functions such as `int` or `float` (default: {}, no
options). Several conversion functions are defined in the
directives/__init__.py module.
Option conversion functions take a single parameter, the option
argument (a string or ``None``), validate it and/or convert it
to the appropriate form. Conversion functions may raise
`ValueError` and `TypeError` exceptions.
- `has_content`: A boolean; True if content is allowed. Client
code must handle the case where content is required but not
supplied (an empty content list will be supplied).
Arguments are normally single whitespace-separated words. The
final argument may contain whitespace and/or newlines if
`final_argument_whitespace` is True.
If the form of the arguments is more complex, specify only one
argument (either required or optional) and set
`final_argument_whitespace` to True; the client code must do any
context-sensitive parsing.
When a directive implementation is being run, the directive class
is instantiated, and the `run()` method is executed. During
instantiation, the following instance variables are set:
- ``name`` is the directive type or name (string).
- ``arguments`` is the list of positional arguments (strings).
- ``options`` is a dictionary mapping option names (strings) to
values (type depends on option conversion functions; see
`option_spec` above).
- ``content`` is a list of strings, the directive content line by line.
- ``lineno`` is the absolute line number of the first line
of the directive.
- ``content_offset`` is the line offset of the first line
of the content from the beginning of the current input.
Used when initiating a nested parse.
- ``block_text`` is a string containing the entire directive.
- ``state`` is the state which called the directive function.
- ``state_machine`` is the state machine which controls the state
which called the directive function.
- ``reporter`` is the state machine's `reporter` instance.
Directive functions return a list of nodes which will be inserted
into the document tree at the point where the directive was
encountered. This can be an empty list if there is nothing to
insert.
For ordinary directives, the list must contain body elements or
structural elements. Some directives are intended specifically
for substitution definitions, and must return a list of `Text`
nodes and/or inline elements (suitable for inline insertion, in
place of the substitution reference). Such directives must verify
substitution definition context, typically using code like this::
if not isinstance(state, states.SubstitutionDef):
error = self.reporter.error(
'Invalid context: the "%s" directive can only be used '
'within a substitution definition.' % (name),
nodes.literal_block(block_text, block_text), line=lineno)
return [error]
| class Directive:
"""
Base class for reStructuredText directives.
The following attributes may be set by subclasses. They are
interpreted by the directive parser (which runs the directive
class):
- `required_arguments`: The number of required arguments (default:
0).
- `optional_arguments`: The number of optional arguments (default:
0).
- `final_argument_whitespace`: A boolean, indicating if the final
argument may contain whitespace (default: False).
- `option_spec`: A dictionary, mapping known option names to
conversion functions such as `int` or `float` (default: {}, no
options). Several conversion functions are defined in the
directives/__init__.py module.
Option conversion functions take a single parameter, the option
argument (a string or ``None``), validate it and/or convert it
to the appropriate form. Conversion functions may raise
`ValueError` and `TypeError` exceptions.
- `has_content`: A boolean; True if content is allowed. Client
code must handle the case where content is required but not
supplied (an empty content list will be supplied).
Arguments are normally single whitespace-separated words. The
final argument may contain whitespace and/or newlines if
`final_argument_whitespace` is True.
If the form of the arguments is more complex, specify only one
argument (either required or optional) and set
`final_argument_whitespace` to True; the client code must do any
context-sensitive parsing.
When a directive implementation is being run, the directive class
is instantiated, and the `run()` method is executed. During
instantiation, the following instance variables are set:
- ``name`` is the directive type or name (string).
- ``arguments`` is the list of positional arguments (strings).
- ``options`` is a dictionary mapping option names (strings) to
values (type depends on option conversion functions; see
`option_spec` above).
- ``content`` is a list of strings, the directive content line by line.
- ``lineno`` is the absolute line number of the first line
of the directive.
- ``content_offset`` is the line offset of the first line
of the content from the beginning of the current input.
Used when initiating a nested parse.
- ``block_text`` is a string containing the entire directive.
- ``state`` is the state which called the directive function.
- ``state_machine`` is the state machine which controls the state
which called the directive function.
- ``reporter`` is the state machine's `reporter` instance.
Directive functions return a list of nodes which will be inserted
into the document tree at the point where the directive was
encountered. This can be an empty list if there is nothing to
insert.
For ordinary directives, the list must contain body elements or
structural elements. Some directives are intended specifically
for substitution definitions, and must return a list of `Text`
nodes and/or inline elements (suitable for inline insertion, in
place of the substitution reference). Such directives must verify
substitution definition context, typically using code like this::
if not isinstance(state, states.SubstitutionDef):
error = self.reporter.error(
'Invalid context: the "%s" directive can only be used '
'within a substitution definition.' % (name),
nodes.literal_block(block_text, block_text), line=lineno)
return [error]
"""
# There is a "Creating reStructuredText Directives" how-to at
# <https://docutils.sourceforge.io/docs/howto/rst-directives.html>. If you
# update this docstring, please update the how-to as well.
required_arguments = 0
"""Number of required directive arguments."""
optional_arguments = 0
"""Number of optional arguments after the required arguments."""
final_argument_whitespace = False
"""May the final argument contain whitespace?"""
option_spec = None
"""Mapping of option names to validator functions."""
has_content = False
"""May the directive have content?"""
def __init__(self, name, arguments, options, content, lineno,
content_offset, block_text, state, state_machine):
self.name = name
self.arguments = arguments
self.options = options
self.content = content
self.lineno = lineno
self.content_offset = content_offset
self.block_text = block_text
self.state = state
self.state_machine = state_machine
self.reporter = state_machine.reporter
def run(self):
raise NotImplementedError('Must override run() in subclass.')
# Directive errors:
def directive_error(self, level, message):
"""
Return a DirectiveError suitable for being thrown as an exception.
Call "raise self.directive_error(level, message)" from within
a directive implementation to return one single system message
at level `level`, which automatically gets the directive block
and the line number added.
Preferably use the `debug`, `info`, `warning`, `error`, or `severe`
wrapper methods, e.g. ``self.error(message)`` to generate an
ERROR-level directive error.
"""
return DirectiveError(level, message)
def debug(self, message):
return self.directive_error(0, message)
def info(self, message):
return self.directive_error(1, message)
def warning(self, message):
return self.directive_error(2, message)
def error(self, message):
return self.directive_error(3, message)
def severe(self, message):
return self.directive_error(4, message)
# Convenience methods:
def assert_has_content(self):
"""
Throw an ERROR-level DirectiveError if the directive doesn't
have contents.
"""
if not self.content:
raise self.error('Content block expected for the "%s" directive; '
'none found.' % self.name)
def add_name(self, node):
"""Append self.options['name'] to node['names'] if it exists.
Also normalize the name string and register it as explicit target.
"""
if 'name' in self.options:
name = nodes.fully_normalize_name(self.options.pop('name'))
if 'name' in node:
del node['name']
node['names'].append(name)
self.state.document.note_explicit_target(node, node)
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23,624 | docutils.parsers.rst | __init__ | null | def __init__(self, name, arguments, options, content, lineno,
content_offset, block_text, state, state_machine):
self.name = name
self.arguments = arguments
self.options = options
self.content = content
self.lineno = lineno
self.content_offset = content_offset
self.block_text = block_text
self.state = state
self.state_machine = state_machine
self.reporter = state_machine.reporter
| (self, name, arguments, options, content, lineno, content_offset, block_text, state, state_machine) | [
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23,625 | docutils.parsers.rst | add_name | Append self.options['name'] to node['names'] if it exists.
Also normalize the name string and register it as explicit target.
| def add_name(self, node):
"""Append self.options['name'] to node['names'] if it exists.
Also normalize the name string and register it as explicit target.
"""
if 'name' in self.options:
name = nodes.fully_normalize_name(self.options.pop('name'))
if 'name' in node:
del node['name']
node['names'].append(name)
self.state.document.note_explicit_target(node, node)
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] |
23,626 | docutils.parsers.rst | assert_has_content |
Throw an ERROR-level DirectiveError if the directive doesn't
have contents.
| def assert_has_content(self):
"""
Throw an ERROR-level DirectiveError if the directive doesn't
have contents.
"""
if not self.content:
raise self.error('Content block expected for the "%s" directive; '
'none found.' % self.name)
| (self) | [
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23,627 | docutils.parsers.rst | debug | null | def debug(self, message):
return self.directive_error(0, message)
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] |
23,628 | docutils.parsers.rst | directive_error |
Return a DirectiveError suitable for being thrown as an exception.
Call "raise self.directive_error(level, message)" from within
a directive implementation to return one single system message
at level `level`, which automatically gets the directive block
and the line number added.
Preferably use the `debug`, `info`, `warning`, `error`, or `severe`
wrapper methods, e.g. ``self.error(message)`` to generate an
ERROR-level directive error.
| def directive_error(self, level, message):
"""
Return a DirectiveError suitable for being thrown as an exception.
Call "raise self.directive_error(level, message)" from within
a directive implementation to return one single system message
at level `level`, which automatically gets the directive block
and the line number added.
Preferably use the `debug`, `info`, `warning`, `error`, or `severe`
wrapper methods, e.g. ``self.error(message)`` to generate an
ERROR-level directive error.
"""
return DirectiveError(level, message)
| (self, level, message) | [
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23,629 | docutils.parsers.rst | error | null | def error(self, message):
return self.directive_error(3, message)
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23,630 | docutils.parsers.rst | info | null | def info(self, message):
return self.directive_error(1, message)
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23,631 | docutils.parsers.rst | run | null | def run(self):
raise NotImplementedError('Must override run() in subclass.')
| (self) | [
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23,632 | docutils.parsers.rst | severe | null | def severe(self, message):
return self.directive_error(4, message)
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23,633 | docutils.parsers.rst | warning | null | def warning(self, message):
return self.directive_error(2, message)
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23,701 | sphinx_thebe | ThebeButton | Specify a button to activate thebe on the page
Arguments
---------
text : str (optional)
If provided, the button text to display
Content
-------
None
| class ThebeButton(Directive):
"""Specify a button to activate thebe on the page
Arguments
---------
text : str (optional)
If provided, the button text to display
Content
-------
None
"""
optional_arguments = 1
final_argument_whitespace = True
has_content = False
def run(self):
kwargs = {"text": self.arguments[0]} if self.arguments else {}
return [ThebeButtonNode(**kwargs)]
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23,709 | sphinx_thebe | run | null | def run(self):
kwargs = {"text": self.arguments[0]} if self.arguments else {}
return [ThebeButtonNode(**kwargs)]
| (self) | [
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23,712 | sphinx_thebe | ThebeButtonNode | Appended to the doctree by the ThebeButton directive
Renders as a button to enable thebe on the page.
If no ThebeButton directive is found in the document but thebe
is enabled, the node is added at the bottom of the document.
| class ThebeButtonNode(nodes.Element):
"""Appended to the doctree by the ThebeButton directive
Renders as a button to enable thebe on the page.
If no ThebeButton directive is found in the document but thebe
is enabled, the node is added at the bottom of the document.
"""
def __init__(self, rawsource="", *children, text="Run code", **attributes):
super().__init__("", text=text)
def html(self):
text = self["text"]
return (
'<button title="{text}" class="thebelab-button thebe-launch-button" '
'onclick="initThebe()">{text}</button>'.format(text=text)
)
| (rawsource='', *children, text='Run code', **attributes) | [
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23,719 | sphinx_thebe | __init__ | null | def __init__(self, rawsource="", *children, text="Run code", **attributes):
super().__init__("", text=text)
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23,722 | docutils.nodes | __repr__ | null | def __repr__(self):
data = ''
for c in self.children:
data += c.shortrepr()
if len(data) > 60:
data = data[:56] + ' ...'
break
if self['names']:
return '<%s "%s": %s>' % (self.__class__.__name__,
'; '.join(self['names']), data)
else:
return '<%s: %s>' % (self.__class__.__name__, data)
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