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.

Lib/dataclasses.py

@@ -25,8 +25,8 @@ __all__ = ['dataclass',
 # about init=, repr=, eq=, order=, unsafe_hash=, or frozen=, I'm
 # referring to the arguments to the @dataclass decorator.  When
 # 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
-#  attribute is defined in a base class.
+# entry in the class's __dict__.  I never check to see if an attribute
+# is defined in a base class.
 
 # Key:
 # +=========+=========================================+
@@ -138,19 +138,20 @@ __all__ = ['dataclass',
 # For boxes that are blank, __hash__ is untouched and therefore
 # inherited from the base class.  If the base is object, then
 # id-based hashing is used.
+#
 # 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
 # @dataclass).
+#
 # See _hash_action (below) for a coded version of this table.
 
 
 # Raised when an attempt is made to modify a frozen class.
 class FrozenInstanceError(AttributeError): pass
 
-# A sentinel object for default values to signal that a
-#  default factory will be used.
-# This is given a nice repr() which will appear in the function
-#  signature of dataclasses' constructors.
+# A sentinel object for default values to signal that a default
+# factory will be used.  This is given a nice repr() which will appear
+# in the function signature of dataclasses' constructors.
 class _HAS_DEFAULT_FACTORY_CLASS:
     def __repr__(self):
         return '<factory>'
@@ -204,9 +205,11 @@ class InitVar(metaclass=_InitVarMeta):
 # Instances of Field are only ever created from within this module,
 # and only from the field() function, although Field instances are
 # 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.
+#
 # When cls._FIELDS is filled in with a list of Field objects, the name
 # and type fields will have been populated.
 class Field:
@@ -255,14 +258,15 @@ class Field:
     # case where we're using a field that contains a descriptor as a
     # defaul value.  For details on __set_name__, see
     # 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
-    #  __set_name__ called on it at the right time.
+    #
+    # Note that in _process_class, this Field object is overwritten
+    # 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):
         func = getattr(type(self.default), '__set_name__', None)
         if func:
-            # There is a __set_name__ method on the descriptor,
-            #  call it.
+            # There is a __set_name__ method on the descriptor, call
+            # it.
             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__()
     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
-    the object's hash(). If compare is True, the field will be used in
-    comparison functions. metadata, if specified, must be a mapping
-    which is stored but not otherwise examined by dataclass.
+    the object's hash().  If compare is True, the field will be used
+    in comparison functions.  metadata, if specified, must be a
+    mapping which is stored but not otherwise examined by dataclass.
 
     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,
                return_type=MISSING):
-    # Note that we mutate locals when exec() is called. Caller beware!
-    #  The only callers are internal to this module, so no worries
-    #  about external callers.
+    # Note that we mutate locals when exec() is called.  Caller
+    # beware!  The only callers are internal to this module, so no
+    # worries about external callers.
     if locals is None:
         locals = {}
     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__
     # via object.__setattr__.  Otherwise, just use a simple
     # assignment.
+    #
     # self_name is what "self" is called in this function: don't
     # hard-code "self", since that might be a field name.
     if frozen:
@@ -403,8 +408,8 @@ def _field_init(f, frozen, globals, self_name):
                 globals[default_name] = f.default
                 value = f.name
         else:
-            # This field does not need initialization. Signify that to
-            #  the caller by returning None.
+            # This field does not need initialization.  Signify that
+            # to the caller by returning None.
             return None
 
     # 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):
-    # Return the __init__ parameter string for this field.
-    #  For example, the equivalent of 'x:int=3' (except instead of 'int',
+    # Return the __init__ parameter string for this field.  For
+    # example, the equivalent of 'x:int=3' (except instead of 'int',
     # reference a variable set to int, and instead of '3', reference a
     # variable set to 3).
     if f.default is MISSING and f.default_factory is MISSING:
-        # There's no default, and no default_factory, just
-        #  output the variable name and type.
+        # There's no default, and no default_factory, just output the
+        # variable name and type.
         default = ''
     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}'
     elif f.default_factory is not MISSING:
         # There's a factory function.  Set a marker.
@@ -493,8 +499,8 @@ def _repr_fn(fields):
 
 
 def _frozen_get_del_attr(cls, fields):
-    # XXX: globals is modified on the first call to _create_fn, then the
-    #  modified version is used in the second call.  Is this okay?
+    # XXX: globals is modified on the first call to _create_fn, then
+    # the modified version is used in the second call.  Is this okay?
     globals = {'cls': cls,
               'FrozenInstanceError': FrozenInstanceError}
     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
     # gets wrong.
 
-    # With string annotations, this will work:
+    # With string annotations, cv0 will be detected as a ClassVar:
     #   CV = ClassVar
     #   @dataclass
     #   class C0:
     #     cv0: CV
 
-    # But this will not:
+    # But in this example cv1 will not be detected as a ClassVar:
     #   @dataclass
     #   class C1:
     #     CV = ClassVar
     #     cv1: CV
 
-    # In C1, the code in this function will look up "CV" in the module
-    # and not find it, so it will not consider cv1 as a ClassVar.
-    # This is a fairly obscure corner case, and the best way to fix it
-    # would be to eval() the string "CV" with the correct global and
-    # local namespaces.  However that would involve a eval() penalty
-    # for every single field of every dataclass that's defined.  It
-    # was judged not worth it.
+    # In C1, the code in this function (_is_type) will look up "CV" in
+    # the module and not find it, so it will not consider cv1 as a
+    # ClassVar.  This is a fairly obscure corner case, and the best
+    # way to fix it would be to eval() the string "CV" with the
+    # correct global and local namespaces.  However that would involve
+    # a eval() penalty for every single field of every dataclass
+    # that's defined.  It was judged not worth it.
 
     match = _MODULE_IDENTIFIER_RE.match(annotation)
     if match:
@@ -616,8 +622,8 @@ def _get_field(cls, a_name, a_type):
     # and InitVars are also returned, but marked as such (see
     # f._field_type).
 
-    # If the default value isn't derived from Field, then it's
-    #  only a normal default value.  Convert it to a Field().
+    # If the default value isn't derived from Field, then it's only a
+    # normal default value.  Convert it to a Field().
     default = getattr(cls, a_name, MISSING)
     if isinstance(default, Field):
         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
     # (see https://github.com/python/typing/issues/508 for example),
     # plus it's expensive and would require an eval for every stirng
-    #  annotation.  So, make a best effort to see if this is a
-    #  ClassVar or InitVar using regex's and checking that the thing
-    #  referenced is actually of the correct type.
+    # annotation.  So, make a best effort to see if this is a ClassVar
+    # or InitVar using regex's and checking that the thing referenced
+    # is actually of the correct type.
 
     # For the complete discussion, see https://bugs.python.org/issue33453
 
@@ -652,8 +658,6 @@ def _get_field(cls, a_name, a_type):
     # module).
     typing = sys.modules.get('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)
             or (isinstance(f.type, str)
                 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 '
                             'default factory')
         # Should I check for other field settings? default_factory
-        #  seems the most serious to check for.  Maybe add others.
-        #  For example, how about init=False (or really,
+        # seems the most serious to check for.  Maybe add others.  For
+        # example, how about init=False (or really,
         # init=<not-the-default-init-value>)?  It makes no sense for
         # 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
     # ourselves.  In reversed order so that more derived classes
-    #  override earlier field definitions in base classes.
-    # As long as we're iterating over them, see if any are frozen.
+    # override earlier field definitions in base classes.  As long as
+    # we're iterating over them, see if any are frozen.
     any_frozen_base = False
     has_dataclass_bases = False
     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
     # classes).  If __annotations__ isn't present, then this class
-    #  adds no new annotations.  We use this to compute fields that
-    #  are added by this class.
+    # adds no new annotations.  We use this to compute fields that are
+    # added by this class.
+    #
     # Fields are found from cls_annotations, which is guaranteed to be
     # ordered.  Default values are from class attributes, if a field
     # has a default.  If the default value is a Field(), then it
     # contains additional info beyond (and possibly including) the
     # actual default value.  Pseudo-fields ClassVars and InitVars are
-    #  included, despite the fact that they're not real fields.
-    #  That's dealt with later.
+    # included, despite the fact that they're not real fields.  That's
+    # dealt with later.
     cls_annotations = cls.__dict__.get('__annotations__', {})
 
     # Now find fields in our class.  While doing so, validate some
-    #  things, and set the default values (as class attributes)
-    #  where we can.
+    # things, and set the default values (as class attributes) where
+    # we can.
     cls_fields = [_get_field(cls, name, type)
                   for name, type in cls_annotations.items()]
     for f in cls_fields:
         fields[f.name] = f
 
-        # If the class attribute (which is the default value for
-        #  this field) exists and is of type 'Field', replace it
-        #  with the real default.  This is so that normal class
-        #  introspection sees a real default value, not a Field.
+        # If the class attribute (which is the default value for this
+        # field) exists and is of type 'Field', replace it with the
+        # real default.  This is so that normal class introspection
+        # sees a real default value, not a Field.
         if isinstance(getattr(cls, f.name, None), Field):
             if f.default is MISSING:
                 # 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 '
                             'non-frozen one')
 
-    # Remember all of the fields on our class (including bases).  This also
-    #  marks this class as being a dataclass.
+    # Remember all of the fields on our class (including bases).  This
+    # also marks this class as being a dataclass.
     setattr(cls, _FIELDS, fields)
 
     # 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
                              (class_hash is None and '__eq__' in cls.__dict__))
 
-    # If we're generating ordering methods, we must be generating
-    #  the eq methods.
+    # If we're generating ordering methods, we must be generating the
+    # eq methods.
     if order and not eq:
         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,
                                     frozen,
                                     has_post_init,
-                                    # The name to use for the "self" param
-                                    #  in __init__.  Use "self" if possible.
+                                    # The name to use for the "self"
+                                    # param in __init__.  Use "self"
+                                    # if possible.
                                     '__dataclass_self__' if 'self' in fields
                                             else 'self',
                           ))
@@ -1130,8 +1136,8 @@ def replace(obj, **changes):
       assert c1.x == 3 and c1.y == 2
       """
 
-    # We're going to mutate 'changes', but that's okay because it's a new
-    #  dict, even if called with 'replace(obj, **my_changes)'.
+    # We're going to mutate 'changes', but that's okay because it's a
+    # new dict, even if called with 'replace(obj, **my_changes)'.
 
     if not _is_dataclass_instance(obj):
         raise TypeError("replace() should be called on dataclass instances")
@@ -1152,8 +1158,8 @@ def replace(obj, **changes):
             changes[f.name] = getattr(obj, f.name)
 
     # Create the new object, which calls __init__() and
-    #  __post_init__() (if defined), using all of the init fields
-    #  we've added and/or left in 'changes'.  If there are values
-    #  supplied in changes that aren't fields, this will correctly
-    #  raise a TypeError.
+    # __post_init__() (if defined), using all of the init fields we've
+    # added and/or left in 'changes'.  If there are values supplied in
+    # changes that aren't fields, this will correctly raise a
+    # TypeError.
     return obj.__class__(**changes)