Reflow dataclasses comments (GH-6893)

To be more consistent with other code (and so people stop hassling me!), reflow the dataclasses comments to not use a single space indentation when continuing a paragraph of text.
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Eric V. Smith 2018-05-16 05:14:53 -04:00 committed by GitHub
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@ -25,8 +25,8 @@ __all__ = ['dataclass',
# about init=, repr=, eq=, order=, unsafe_hash=, or frozen=, I'm # about init=, repr=, eq=, order=, unsafe_hash=, or frozen=, I'm
# referring to the arguments to the @dataclass decorator. When # referring to the arguments to the @dataclass decorator. When
# checking if a dunder method already exists, I mean check for an # checking if a dunder method already exists, I mean check for an
# entry in the class's __dict__. I never check to see if an # entry in the class's __dict__. I never check to see if an attribute
# attribute is defined in a base class. # is defined in a base class.
# Key: # Key:
# +=========+=========================================+ # +=========+=========================================+
@ -138,19 +138,20 @@ __all__ = ['dataclass',
# For boxes that are blank, __hash__ is untouched and therefore # For boxes that are blank, __hash__ is untouched and therefore
# inherited from the base class. If the base is object, then # inherited from the base class. If the base is object, then
# id-based hashing is used. # id-based hashing is used.
#
# Note that a class may already have __hash__=None if it specified an # Note that a class may already have __hash__=None if it specified an
# __eq__ method in the class body (not one that was created by # __eq__ method in the class body (not one that was created by
# @dataclass). # @dataclass).
#
# See _hash_action (below) for a coded version of this table. # See _hash_action (below) for a coded version of this table.
# Raised when an attempt is made to modify a frozen class. # Raised when an attempt is made to modify a frozen class.
class FrozenInstanceError(AttributeError): pass class FrozenInstanceError(AttributeError): pass
# A sentinel object for default values to signal that a # A sentinel object for default values to signal that a default
# default factory will be used. # factory will be used. This is given a nice repr() which will appear
# This is given a nice repr() which will appear in the function # in the function signature of dataclasses' constructors.
# signature of dataclasses' constructors.
class _HAS_DEFAULT_FACTORY_CLASS: class _HAS_DEFAULT_FACTORY_CLASS:
def __repr__(self): def __repr__(self):
return '<factory>' return '<factory>'
@ -204,9 +205,11 @@ class InitVar(metaclass=_InitVarMeta):
# Instances of Field are only ever created from within this module, # Instances of Field are only ever created from within this module,
# and only from the field() function, although Field instances are # and only from the field() function, although Field instances are
# exposed externally as (conceptually) read-only objects. # exposed externally as (conceptually) read-only objects.
# name and type are filled in after the fact, not in __init__. They're #
# not known at the time this class is instantiated, but it's # name and type are filled in after the fact, not in __init__.
# They're not known at the time this class is instantiated, but it's
# convenient if they're available later. # convenient if they're available later.
#
# When cls._FIELDS is filled in with a list of Field objects, the name # When cls._FIELDS is filled in with a list of Field objects, the name
# and type fields will have been populated. # and type fields will have been populated.
class Field: class Field:
@ -255,14 +258,15 @@ class Field:
# case where we're using a field that contains a descriptor as a # case where we're using a field that contains a descriptor as a
# defaul value. For details on __set_name__, see # defaul value. For details on __set_name__, see
# https://www.python.org/dev/peps/pep-0487/#implementation-details. # https://www.python.org/dev/peps/pep-0487/#implementation-details.
# Note that in _process_class, this Field object is overwritten with #
# the default value, so the end result is a descriptor that had # Note that in _process_class, this Field object is overwritten
# __set_name__ called on it at the right time. # with the default value, so the end result is a descriptor that
# had __set_name__ called on it at the right time.
def __set_name__(self, owner, name): def __set_name__(self, owner, name):
func = getattr(type(self.default), '__set_name__', None) func = getattr(type(self.default), '__set_name__', None)
if func: if func:
# There is a __set_name__ method on the descriptor, # There is a __set_name__ method on the descriptor, call
# call it. # it.
func(self.default, owner, name) func(self.default, owner, name)
@ -306,9 +310,9 @@ def field(*, default=MISSING, default_factory=MISSING, init=True, repr=True,
is True, the field will be a parameter to the class's __init__() is True, the field will be a parameter to the class's __init__()
function. If repr is True, the field will be included in the function. If repr is True, the field will be included in the
object's repr(). If hash is True, the field will be included in object's repr(). If hash is True, the field will be included in
the object's hash(). If compare is True, the field will be used in the object's hash(). If compare is True, the field will be used
comparison functions. metadata, if specified, must be a mapping in comparison functions. metadata, if specified, must be a
which is stored but not otherwise examined by dataclass. mapping which is stored but not otherwise examined by dataclass.
It is an error to specify both default and default_factory. It is an error to specify both default and default_factory.
""" """
@ -333,9 +337,9 @@ def _tuple_str(obj_name, fields):
def _create_fn(name, args, body, *, globals=None, locals=None, def _create_fn(name, args, body, *, globals=None, locals=None,
return_type=MISSING): return_type=MISSING):
# Note that we mutate locals when exec() is called. Caller beware! # Note that we mutate locals when exec() is called. Caller
# The only callers are internal to this module, so no worries # beware! The only callers are internal to this module, so no
# about external callers. # worries about external callers.
if locals is None: if locals is None:
locals = {} locals = {}
return_annotation = '' return_annotation = ''
@ -356,6 +360,7 @@ def _field_assign(frozen, name, value, self_name):
# If we're a frozen class, then assign to our fields in __init__ # If we're a frozen class, then assign to our fields in __init__
# via object.__setattr__. Otherwise, just use a simple # via object.__setattr__. Otherwise, just use a simple
# assignment. # assignment.
#
# self_name is what "self" is called in this function: don't # self_name is what "self" is called in this function: don't
# hard-code "self", since that might be a field name. # hard-code "self", since that might be a field name.
if frozen: if frozen:
@ -403,8 +408,8 @@ def _field_init(f, frozen, globals, self_name):
globals[default_name] = f.default globals[default_name] = f.default
value = f.name value = f.name
else: else:
# This field does not need initialization. Signify that to # This field does not need initialization. Signify that
# the caller by returning None. # to the caller by returning None.
return None return None
# Only test this now, so that we can create variables for the # Only test this now, so that we can create variables for the
@ -418,16 +423,17 @@ def _field_init(f, frozen, globals, self_name):
def _init_param(f): def _init_param(f):
# Return the __init__ parameter string for this field. # Return the __init__ parameter string for this field. For
# For example, the equivalent of 'x:int=3' (except instead of 'int', # example, the equivalent of 'x:int=3' (except instead of 'int',
# reference a variable set to int, and instead of '3', reference a # reference a variable set to int, and instead of '3', reference a
# variable set to 3). # variable set to 3).
if f.default is MISSING and f.default_factory is MISSING: if f.default is MISSING and f.default_factory is MISSING:
# There's no default, and no default_factory, just # There's no default, and no default_factory, just output the
# output the variable name and type. # variable name and type.
default = '' default = ''
elif f.default is not MISSING: elif f.default is not MISSING:
# There's a default, this will be the name that's used to look it up. # There's a default, this will be the name that's used to look
# it up.
default = f'=_dflt_{f.name}' default = f'=_dflt_{f.name}'
elif f.default_factory is not MISSING: elif f.default_factory is not MISSING:
# There's a factory function. Set a marker. # There's a factory function. Set a marker.
@ -493,8 +499,8 @@ def _repr_fn(fields):
def _frozen_get_del_attr(cls, fields): def _frozen_get_del_attr(cls, fields):
# XXX: globals is modified on the first call to _create_fn, then the # XXX: globals is modified on the first call to _create_fn, then
# modified version is used in the second call. Is this okay? # the modified version is used in the second call. Is this okay?
globals = {'cls': cls, globals = {'cls': cls,
'FrozenInstanceError': FrozenInstanceError} 'FrozenInstanceError': FrozenInstanceError}
if fields: if fields:
@ -573,25 +579,25 @@ def _is_type(annotation, cls, a_module, a_type, is_type_predicate):
# instead only a module (global) lookup), there are some things it # instead only a module (global) lookup), there are some things it
# gets wrong. # gets wrong.
# With string annotations, this will work: # With string annotations, cv0 will be detected as a ClassVar:
# CV = ClassVar # CV = ClassVar
# @dataclass # @dataclass
# class C0: # class C0:
# cv0: CV # cv0: CV
# But this will not: # But in this example cv1 will not be detected as a ClassVar:
# @dataclass # @dataclass
# class C1: # class C1:
# CV = ClassVar # CV = ClassVar
# cv1: CV # cv1: CV
# In C1, the code in this function will look up "CV" in the module # In C1, the code in this function (_is_type) will look up "CV" in
# and not find it, so it will not consider cv1 as a ClassVar. # the module and not find it, so it will not consider cv1 as a
# This is a fairly obscure corner case, and the best way to fix it # ClassVar. This is a fairly obscure corner case, and the best
# would be to eval() the string "CV" with the correct global and # way to fix it would be to eval() the string "CV" with the
# local namespaces. However that would involve a eval() penalty # correct global and local namespaces. However that would involve
# for every single field of every dataclass that's defined. It # a eval() penalty for every single field of every dataclass
# was judged not worth it. # that's defined. It was judged not worth it.
match = _MODULE_IDENTIFIER_RE.match(annotation) match = _MODULE_IDENTIFIER_RE.match(annotation)
if match: if match:
@ -616,8 +622,8 @@ def _get_field(cls, a_name, a_type):
# and InitVars are also returned, but marked as such (see # and InitVars are also returned, but marked as such (see
# f._field_type). # f._field_type).
# If the default value isn't derived from Field, then it's # If the default value isn't derived from Field, then it's only a
# only a normal default value. Convert it to a Field(). # normal default value. Convert it to a Field().
default = getattr(cls, a_name, MISSING) default = getattr(cls, a_name, MISSING)
if isinstance(default, Field): if isinstance(default, Field):
f = default f = default
@ -640,9 +646,9 @@ def _get_field(cls, a_name, a_type):
# string annotations. get_type_hints() won't always work for us # string annotations. get_type_hints() won't always work for us
# (see https://github.com/python/typing/issues/508 for example), # (see https://github.com/python/typing/issues/508 for example),
# plus it's expensive and would require an eval for every stirng # plus it's expensive and would require an eval for every stirng
# annotation. So, make a best effort to see if this is a # annotation. So, make a best effort to see if this is a ClassVar
# ClassVar or InitVar using regex's and checking that the thing # or InitVar using regex's and checking that the thing referenced
# referenced is actually of the correct type. # is actually of the correct type.
# For the complete discussion, see https://bugs.python.org/issue33453 # For the complete discussion, see https://bugs.python.org/issue33453
@ -652,8 +658,6 @@ def _get_field(cls, a_name, a_type):
# module). # module).
typing = sys.modules.get('typing') typing = sys.modules.get('typing')
if typing: if typing:
# This test uses a typing internal class, but it's the best
# way to test if this is a ClassVar.
if (_is_classvar(a_type, typing) if (_is_classvar(a_type, typing)
or (isinstance(f.type, str) or (isinstance(f.type, str)
and _is_type(f.type, cls, typing, typing.ClassVar, and _is_type(f.type, cls, typing, typing.ClassVar,
@ -682,8 +686,8 @@ def _get_field(cls, a_name, a_type):
raise TypeError(f'field {f.name} cannot have a ' raise TypeError(f'field {f.name} cannot have a '
'default factory') 'default factory')
# Should I check for other field settings? default_factory # Should I check for other field settings? default_factory
# seems the most serious to check for. Maybe add others. # seems the most serious to check for. Maybe add others. For
# For example, how about init=False (or really, # example, how about init=False (or really,
# init=<not-the-default-init-value>)? It makes no sense for # init=<not-the-default-init-value>)? It makes no sense for
# ClassVar and InitVar to specify init=<anything>. # ClassVar and InitVar to specify init=<anything>.
@ -763,8 +767,8 @@ def _process_class(cls, init, repr, eq, order, unsafe_hash, frozen):
# Find our base classes in reverse MRO order, and exclude # Find our base classes in reverse MRO order, and exclude
# ourselves. In reversed order so that more derived classes # ourselves. In reversed order so that more derived classes
# override earlier field definitions in base classes. # override earlier field definitions in base classes. As long as
# As long as we're iterating over them, see if any are frozen. # we're iterating over them, see if any are frozen.
any_frozen_base = False any_frozen_base = False
has_dataclass_bases = False has_dataclass_bases = False
for b in cls.__mro__[-1:0:-1]: for b in cls.__mro__[-1:0:-1]:
@ -780,29 +784,30 @@ def _process_class(cls, init, repr, eq, order, unsafe_hash, frozen):
# Annotations that are defined in this class (not in base # Annotations that are defined in this class (not in base
# classes). If __annotations__ isn't present, then this class # classes). If __annotations__ isn't present, then this class
# adds no new annotations. We use this to compute fields that # adds no new annotations. We use this to compute fields that are
# are added by this class. # added by this class.
#
# Fields are found from cls_annotations, which is guaranteed to be # Fields are found from cls_annotations, which is guaranteed to be
# ordered. Default values are from class attributes, if a field # ordered. Default values are from class attributes, if a field
# has a default. If the default value is a Field(), then it # has a default. If the default value is a Field(), then it
# contains additional info beyond (and possibly including) the # contains additional info beyond (and possibly including) the
# actual default value. Pseudo-fields ClassVars and InitVars are # actual default value. Pseudo-fields ClassVars and InitVars are
# included, despite the fact that they're not real fields. # included, despite the fact that they're not real fields. That's
# That's dealt with later. # dealt with later.
cls_annotations = cls.__dict__.get('__annotations__', {}) cls_annotations = cls.__dict__.get('__annotations__', {})
# Now find fields in our class. While doing so, validate some # Now find fields in our class. While doing so, validate some
# things, and set the default values (as class attributes) # things, and set the default values (as class attributes) where
# where we can. # we can.
cls_fields = [_get_field(cls, name, type) cls_fields = [_get_field(cls, name, type)
for name, type in cls_annotations.items()] for name, type in cls_annotations.items()]
for f in cls_fields: for f in cls_fields:
fields[f.name] = f fields[f.name] = f
# If the class attribute (which is the default value for # If the class attribute (which is the default value for this
# this field) exists and is of type 'Field', replace it # field) exists and is of type 'Field', replace it with the
# with the real default. This is so that normal class # real default. This is so that normal class introspection
# introspection sees a real default value, not a Field. # sees a real default value, not a Field.
if isinstance(getattr(cls, f.name, None), Field): if isinstance(getattr(cls, f.name, None), Field):
if f.default is MISSING: if f.default is MISSING:
# If there's no default, delete the class attribute. # If there's no default, delete the class attribute.
@ -832,8 +837,8 @@ def _process_class(cls, init, repr, eq, order, unsafe_hash, frozen):
raise TypeError('cannot inherit frozen dataclass from a ' raise TypeError('cannot inherit frozen dataclass from a '
'non-frozen one') 'non-frozen one')
# Remember all of the fields on our class (including bases). This also # Remember all of the fields on our class (including bases). This
# marks this class as being a dataclass. # also marks this class as being a dataclass.
setattr(cls, _FIELDS, fields) setattr(cls, _FIELDS, fields)
# Was this class defined with an explicit __hash__? Note that if # Was this class defined with an explicit __hash__? Note that if
@ -845,8 +850,8 @@ def _process_class(cls, init, repr, eq, order, unsafe_hash, frozen):
has_explicit_hash = not (class_hash is MISSING or has_explicit_hash = not (class_hash is MISSING or
(class_hash is None and '__eq__' in cls.__dict__)) (class_hash is None and '__eq__' in cls.__dict__))
# If we're generating ordering methods, we must be generating # If we're generating ordering methods, we must be generating the
# the eq methods. # eq methods.
if order and not eq: if order and not eq:
raise ValueError('eq must be true if order is true') raise ValueError('eq must be true if order is true')
@ -861,8 +866,9 @@ def _process_class(cls, init, repr, eq, order, unsafe_hash, frozen):
_init_fn(flds, _init_fn(flds,
frozen, frozen,
has_post_init, has_post_init,
# The name to use for the "self" param # The name to use for the "self"
# in __init__. Use "self" if possible. # param in __init__. Use "self"
# if possible.
'__dataclass_self__' if 'self' in fields '__dataclass_self__' if 'self' in fields
else 'self', else 'self',
)) ))
@ -1130,8 +1136,8 @@ def replace(obj, **changes):
assert c1.x == 3 and c1.y == 2 assert c1.x == 3 and c1.y == 2
""" """
# We're going to mutate 'changes', but that's okay because it's a new # We're going to mutate 'changes', but that's okay because it's a
# dict, even if called with 'replace(obj, **my_changes)'. # new dict, even if called with 'replace(obj, **my_changes)'.
if not _is_dataclass_instance(obj): if not _is_dataclass_instance(obj):
raise TypeError("replace() should be called on dataclass instances") raise TypeError("replace() should be called on dataclass instances")
@ -1152,8 +1158,8 @@ def replace(obj, **changes):
changes[f.name] = getattr(obj, f.name) changes[f.name] = getattr(obj, f.name)
# Create the new object, which calls __init__() and # Create the new object, which calls __init__() and
# __post_init__() (if defined), using all of the init fields # __post_init__() (if defined), using all of the init fields we've
# we've added and/or left in 'changes'. If there are values # added and/or left in 'changes'. If there are values supplied in
# supplied in changes that aren't fields, this will correctly # changes that aren't fields, this will correctly raise a
# raise a TypeError. # TypeError.
return obj.__class__(**changes) return obj.__class__(**changes)