def __init__(self, data, checklines=10, transform=None,
force_dialect_check=False, dialect=None):
self.data = data
self.checklines = checklines
self.current_item = None
self.current_item_number = None
self.dialect = None
self._observed_dialects = []
self.directives = []
self.transform = transform
self.warnings = []
if force_dialect_check and dialect is not None:
raise ValueError("force_dialect_check is True, but a dialect "
"is provided")
if force_dialect_check:
# In this case, self.dialect remains None. When
# parser._split_keyvals gets None as a dialect, it tries to infer
# a dialect.
self._iter = self._custom_iter()
elif dialect is not None:
self._observed_dialects = [dialect]
self.dialect = helpers._choose_dialect(self._observed_dialects)
self._iter = self._custom_iter()
else:
# Otherwise, check some lines to determine what the dialect should
# be
self.peek, self._iter = peek(self._custom_iter(), checklines)
self._observed_dialects = [i.dialect for i in self.peek]
self.dialect = helpers._choose_dialect(self._observed_dialects)
def __init__(self,
data,
checklines=10,
transform=None,
force_dialect_check=False,
dialect=None):
self.data = data
self.checklines = checklines
self.current_item = None
self.current_item_number = None
self.dialect = None
self._observed_dialects = []
self.directives = []
self.transform = transform
self.warnings = []
if force_dialect_check and dialect is not None:
raise ValueError("force_dialect_check is True, but a dialect "
"is provided")
if force_dialect_check:
# In this case, self.dialect remains None. When
# parser._split_keyvals gets None as a dialect, it tries to infer
# a dialect.
self._iter = self._custom_iter()
elif dialect is not None:
self._observed_dialects = [dialect]
self.dialect = helpers._choose_dialect(self._observed_dialects)
self._iter = self._custom_iter()
else:
# Otherwise, check some lines to determine what the dialect should
# be
self.peek, self._iter = peek(self._custom_iter(), checklines)
self._observed_dialects = [i.dialect for i in self.peek]
self.dialect = helpers._choose_dialect(self._observed_dialects)
def __init__(self,
data,
checklines=10,
transform=None,
force_dialect_check=False,
dialect=None):
"""
Base class for iterating over features. In general, you should use
DataIterator -- so see the docstring of class for argument
descriptions.
All subclasses -- _FileIterator, _URLIterator, _FeatureIterator,
_StringIterator -- gain the following behavior:
- self.current_item and self.current_item_number are set on every
iteration. This is very useful for debugging, or reporting to
the user exactly what item or line number caused the issue.
- transform a Feature before it gets yielded, filter out a Feature
- auto-detect dialect by peeking `checklines` items into the
iterator, and then re-reading those, applying the detected
dialect. If multiple dialects are found, use
helpers._choose_dialect to figure out the best one.
- keep track of directives
"""
self.data = data
self.checklines = checklines
self.current_item = None
self.current_item_number = None
self.dialect = None
self._observed_dialects = []
self.directives = []
self.transform = transform
self.warnings = []
if force_dialect_check and dialect is not None:
raise ValueError("force_dialect_check is True, but a dialect "
"is provided")
if force_dialect_check:
# In this case, self.dialect remains None. When
# parser._split_keyvals gets None as a dialect, it tries to infer
# a dialect.
self._iter = self._custom_iter()
elif dialect is not None:
self._observed_dialects = [dialect]
self.dialect = helpers._choose_dialect(self._observed_dialects)
self._iter = self._custom_iter()
else:
# Otherwise, check some lines to determine what the dialect should
# be
self.peek, self._iter = peek(self._custom_iter(), checklines)
self._observed_dialects = [i.dialect for i in self.peek]
self.dialect = helpers._choose_dialect(self._observed_dialects)
def __init__(self, data, checklines=10, transform=None,
force_dialect_check=False, dialect=None):
"""
Base class for iterating over features. In general, you should use
DataIterator -- so see the docstring of class for argument
descriptions.
All subclasses -- _FileIterator, _URLIterator, _FeatureIterator,
_StringIterator -- gain the following behavior:
- self.current_item and self.current_item_number are set on every
iteration. This is very useful for debugging, or reporting to
the user exactly what item or line number caused the issue.
- transform a Feature before it gets yielded, filter out a Feature
- auto-detect dialect by peeking `checklines` items into the
iterator, and then re-reading those, applying the detected
dialect. If multiple dialects are found, use
helpers._choose_dialect to figure out the best one.
- keep track of directives
"""
self.data = data
self.checklines = checklines
self.current_item = None
self.current_item_number = None
self.dialect = None
self._observed_dialects = []
self.directives = []
self.transform = transform
self.warnings = []
if force_dialect_check and dialect is not None:
raise ValueError("force_dialect_check is True, but a dialect "
"is provided")
if force_dialect_check:
# In this case, self.dialect remains None. When
# parser._split_keyvals gets None as a dialect, it tries to infer
# a dialect.
self._iter = self._custom_iter()
elif dialect is not None:
self._observed_dialects = [dialect]
self.dialect = helpers._choose_dialect(self._observed_dialects)
self._iter = self._custom_iter()
else:
# Otherwise, check some lines to determine what the dialect should
# be
self.peek, self._iter = peek(self._custom_iter(), checklines)
self._observed_dialects = [i.dialect for i in self.peek]
self.dialect = helpers._choose_dialect(self._observed_dialects)