diff options
| author | orivej <[email protected]> | 2022-02-10 16:44:49 +0300 |
|---|---|---|
| committer | Daniil Cherednik <[email protected]> | 2022-02-10 16:44:49 +0300 |
| commit | 718c552901d703c502ccbefdfc3c9028d608b947 (patch) | |
| tree | 46534a98bbefcd7b1f3faa5b52c138ab27db75b7 /contrib/tools/python3/src/Lib/dataclasses.py | |
| parent | e9656aae26e0358d5378e5b63dcac5c8dbe0e4d0 (diff) | |
Restoring authorship annotation for <[email protected]>. Commit 1 of 2.
Diffstat (limited to 'contrib/tools/python3/src/Lib/dataclasses.py')
| -rw-r--r-- | contrib/tools/python3/src/Lib/dataclasses.py | 2398 |
1 files changed, 1199 insertions, 1199 deletions
diff --git a/contrib/tools/python3/src/Lib/dataclasses.py b/contrib/tools/python3/src/Lib/dataclasses.py index 5ff67ad2ea9..f909924c9ea 100644 --- a/contrib/tools/python3/src/Lib/dataclasses.py +++ b/contrib/tools/python3/src/Lib/dataclasses.py @@ -1,211 +1,211 @@ -import re -import sys -import copy -import types -import inspect -import keyword -import builtins -import functools -import _thread +import re +import sys +import copy +import types +import inspect +import keyword +import builtins +import functools +import _thread from types import GenericAlias - - -__all__ = ['dataclass', - 'field', - 'Field', - 'FrozenInstanceError', - 'InitVar', - 'MISSING', - - # Helper functions. - 'fields', - 'asdict', - 'astuple', - 'make_dataclass', - 'replace', - 'is_dataclass', - ] - -# Conditions for adding methods. The boxes indicate what action the -# dataclass decorator takes. For all of these tables, when I talk -# 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. - -# Key: -# +=========+=========================================+ -# + Value | Meaning | -# +=========+=========================================+ -# | <blank> | No action: no method is added. | -# +---------+-----------------------------------------+ -# | add | Generated method is added. | -# +---------+-----------------------------------------+ -# | raise | TypeError is raised. | -# +---------+-----------------------------------------+ -# | None | Attribute is set to None. | -# +=========+=========================================+ - -# __init__ -# -# +--- init= parameter -# | -# v | | | -# | no | yes | <--- class has __init__ in __dict__? -# +=======+=======+=======+ -# | False | | | -# +-------+-------+-------+ -# | True | add | | <- the default -# +=======+=======+=======+ - -# __repr__ -# -# +--- repr= parameter -# | -# v | | | -# | no | yes | <--- class has __repr__ in __dict__? -# +=======+=======+=======+ -# | False | | | -# +-------+-------+-------+ -# | True | add | | <- the default -# +=======+=======+=======+ - - -# __setattr__ -# __delattr__ -# -# +--- frozen= parameter -# | -# v | | | -# | no | yes | <--- class has __setattr__ or __delattr__ in __dict__? -# +=======+=======+=======+ -# | False | | | <- the default -# +-------+-------+-------+ -# | True | add | raise | -# +=======+=======+=======+ -# Raise because not adding these methods would break the "frozen-ness" -# of the class. - -# __eq__ -# -# +--- eq= parameter -# | -# v | | | -# | no | yes | <--- class has __eq__ in __dict__? -# +=======+=======+=======+ -# | False | | | -# +-------+-------+-------+ -# | True | add | | <- the default -# +=======+=======+=======+ - -# __lt__ -# __le__ -# __gt__ -# __ge__ -# -# +--- order= parameter -# | -# v | | | -# | no | yes | <--- class has any comparison method in __dict__? -# +=======+=======+=======+ -# | False | | | <- the default -# +-------+-------+-------+ -# | True | add | raise | -# +=======+=======+=======+ -# Raise because to allow this case would interfere with using -# functools.total_ordering. - -# __hash__ - -# +------------------- unsafe_hash= parameter -# | +----------- eq= parameter -# | | +--- frozen= parameter -# | | | -# v v v | | | -# | no | yes | <--- class has explicitly defined __hash__ -# +=======+=======+=======+========+========+ -# | False | False | False | | | No __eq__, use the base class __hash__ -# +-------+-------+-------+--------+--------+ -# | False | False | True | | | No __eq__, use the base class __hash__ -# +-------+-------+-------+--------+--------+ -# | False | True | False | None | | <-- the default, not hashable -# +-------+-------+-------+--------+--------+ -# | False | True | True | add | | Frozen, so hashable, allows override -# +-------+-------+-------+--------+--------+ -# | True | False | False | add | raise | Has no __eq__, but hashable -# +-------+-------+-------+--------+--------+ -# | True | False | True | add | raise | Has no __eq__, but hashable -# +-------+-------+-------+--------+--------+ -# | True | True | False | add | raise | Not frozen, but hashable -# +-------+-------+-------+--------+--------+ -# | True | True | True | add | raise | Frozen, so hashable -# +=======+=======+=======+========+========+ -# 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. -class _HAS_DEFAULT_FACTORY_CLASS: - def __repr__(self): - return '<factory>' -_HAS_DEFAULT_FACTORY = _HAS_DEFAULT_FACTORY_CLASS() - -# A sentinel object to detect if a parameter is supplied or not. Use -# a class to give it a better repr. -class _MISSING_TYPE: - pass -MISSING = _MISSING_TYPE() - -# Since most per-field metadata will be unused, create an empty -# read-only proxy that can be shared among all fields. -_EMPTY_METADATA = types.MappingProxyType({}) - -# Markers for the various kinds of fields and pseudo-fields. -class _FIELD_BASE: - def __init__(self, name): - self.name = name - def __repr__(self): - return self.name -_FIELD = _FIELD_BASE('_FIELD') -_FIELD_CLASSVAR = _FIELD_BASE('_FIELD_CLASSVAR') -_FIELD_INITVAR = _FIELD_BASE('_FIELD_INITVAR') - -# The name of an attribute on the class where we store the Field -# objects. Also used to check if a class is a Data Class. -_FIELDS = '__dataclass_fields__' - -# The name of an attribute on the class that stores the parameters to -# @dataclass. -_PARAMS = '__dataclass_params__' - -# The name of the function, that if it exists, is called at the end of -# __init__. -_POST_INIT_NAME = '__post_init__' - -# String regex that string annotations for ClassVar or InitVar must match. -# Allows "identifier.identifier[" or "identifier[". -# https://bugs.python.org/issue33453 for details. -_MODULE_IDENTIFIER_RE = re.compile(r'^(?:\s*(\w+)\s*\.)?\s*(\w+)') - + + +__all__ = ['dataclass', + 'field', + 'Field', + 'FrozenInstanceError', + 'InitVar', + 'MISSING', + + # Helper functions. + 'fields', + 'asdict', + 'astuple', + 'make_dataclass', + 'replace', + 'is_dataclass', + ] + +# Conditions for adding methods. The boxes indicate what action the +# dataclass decorator takes. For all of these tables, when I talk +# 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. + +# Key: +# +=========+=========================================+ +# + Value | Meaning | +# +=========+=========================================+ +# | <blank> | No action: no method is added. | +# +---------+-----------------------------------------+ +# | add | Generated method is added. | +# +---------+-----------------------------------------+ +# | raise | TypeError is raised. | +# +---------+-----------------------------------------+ +# | None | Attribute is set to None. | +# +=========+=========================================+ + +# __init__ +# +# +--- init= parameter +# | +# v | | | +# | no | yes | <--- class has __init__ in __dict__? +# +=======+=======+=======+ +# | False | | | +# +-------+-------+-------+ +# | True | add | | <- the default +# +=======+=======+=======+ + +# __repr__ +# +# +--- repr= parameter +# | +# v | | | +# | no | yes | <--- class has __repr__ in __dict__? +# +=======+=======+=======+ +# | False | | | +# +-------+-------+-------+ +# | True | add | | <- the default +# +=======+=======+=======+ + + +# __setattr__ +# __delattr__ +# +# +--- frozen= parameter +# | +# v | | | +# | no | yes | <--- class has __setattr__ or __delattr__ in __dict__? +# +=======+=======+=======+ +# | False | | | <- the default +# +-------+-------+-------+ +# | True | add | raise | +# +=======+=======+=======+ +# Raise because not adding these methods would break the "frozen-ness" +# of the class. + +# __eq__ +# +# +--- eq= parameter +# | +# v | | | +# | no | yes | <--- class has __eq__ in __dict__? +# +=======+=======+=======+ +# | False | | | +# +-------+-------+-------+ +# | True | add | | <- the default +# +=======+=======+=======+ + +# __lt__ +# __le__ +# __gt__ +# __ge__ +# +# +--- order= parameter +# | +# v | | | +# | no | yes | <--- class has any comparison method in __dict__? +# +=======+=======+=======+ +# | False | | | <- the default +# +-------+-------+-------+ +# | True | add | raise | +# +=======+=======+=======+ +# Raise because to allow this case would interfere with using +# functools.total_ordering. + +# __hash__ + +# +------------------- unsafe_hash= parameter +# | +----------- eq= parameter +# | | +--- frozen= parameter +# | | | +# v v v | | | +# | no | yes | <--- class has explicitly defined __hash__ +# +=======+=======+=======+========+========+ +# | False | False | False | | | No __eq__, use the base class __hash__ +# +-------+-------+-------+--------+--------+ +# | False | False | True | | | No __eq__, use the base class __hash__ +# +-------+-------+-------+--------+--------+ +# | False | True | False | None | | <-- the default, not hashable +# +-------+-------+-------+--------+--------+ +# | False | True | True | add | | Frozen, so hashable, allows override +# +-------+-------+-------+--------+--------+ +# | True | False | False | add | raise | Has no __eq__, but hashable +# +-------+-------+-------+--------+--------+ +# | True | False | True | add | raise | Has no __eq__, but hashable +# +-------+-------+-------+--------+--------+ +# | True | True | False | add | raise | Not frozen, but hashable +# +-------+-------+-------+--------+--------+ +# | True | True | True | add | raise | Frozen, so hashable +# +=======+=======+=======+========+========+ +# 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. +class _HAS_DEFAULT_FACTORY_CLASS: + def __repr__(self): + return '<factory>' +_HAS_DEFAULT_FACTORY = _HAS_DEFAULT_FACTORY_CLASS() + +# A sentinel object to detect if a parameter is supplied or not. Use +# a class to give it a better repr. +class _MISSING_TYPE: + pass +MISSING = _MISSING_TYPE() + +# Since most per-field metadata will be unused, create an empty +# read-only proxy that can be shared among all fields. +_EMPTY_METADATA = types.MappingProxyType({}) + +# Markers for the various kinds of fields and pseudo-fields. +class _FIELD_BASE: + def __init__(self, name): + self.name = name + def __repr__(self): + return self.name +_FIELD = _FIELD_BASE('_FIELD') +_FIELD_CLASSVAR = _FIELD_BASE('_FIELD_CLASSVAR') +_FIELD_INITVAR = _FIELD_BASE('_FIELD_INITVAR') + +# The name of an attribute on the class where we store the Field +# objects. Also used to check if a class is a Data Class. +_FIELDS = '__dataclass_fields__' + +# The name of an attribute on the class that stores the parameters to +# @dataclass. +_PARAMS = '__dataclass_params__' + +# The name of the function, that if it exists, is called at the end of +# __init__. +_POST_INIT_NAME = '__post_init__' + +# String regex that string annotations for ClassVar or InitVar must match. +# Allows "identifier.identifier[" or "identifier[". +# https://bugs.python.org/issue33453 for details. +_MODULE_IDENTIFIER_RE = re.compile(r'^(?:\s*(\w+)\s*\.)?\s*(\w+)') + class InitVar: __slots__ = ('type', ) - + def __init__(self, type): self.type = type - + def __repr__(self): if isinstance(self.type, type) and not isinstance(self.type, GenericAlias): type_name = self.type.__name__ @@ -218,601 +218,601 @@ class InitVar: return InitVar(type) -# 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 -# 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: - __slots__ = ('name', - 'type', - 'default', - 'default_factory', - 'repr', - 'hash', - 'init', - 'compare', - 'metadata', - '_field_type', # Private: not to be used by user code. - ) - - def __init__(self, default, default_factory, init, repr, hash, compare, - metadata): - self.name = None - self.type = None - self.default = default - self.default_factory = default_factory - self.init = init - self.repr = repr - self.hash = hash - self.compare = compare - self.metadata = (_EMPTY_METADATA - if metadata is None else - types.MappingProxyType(metadata)) - self._field_type = None - - def __repr__(self): - return ('Field(' - f'name={self.name!r},' - f'type={self.type!r},' - f'default={self.default!r},' - f'default_factory={self.default_factory!r},' - f'init={self.init!r},' - f'repr={self.repr!r},' - f'hash={self.hash!r},' - f'compare={self.compare!r},' - f'metadata={self.metadata!r},' - f'_field_type={self._field_type}' - ')') - - # This is used to support the PEP 487 __set_name__ protocol in the - # case where we're using a field that contains a descriptor as a - # default 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. - 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. - func(self.default, owner, name) - +# 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 +# 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: + __slots__ = ('name', + 'type', + 'default', + 'default_factory', + 'repr', + 'hash', + 'init', + 'compare', + 'metadata', + '_field_type', # Private: not to be used by user code. + ) + + def __init__(self, default, default_factory, init, repr, hash, compare, + metadata): + self.name = None + self.type = None + self.default = default + self.default_factory = default_factory + self.init = init + self.repr = repr + self.hash = hash + self.compare = compare + self.metadata = (_EMPTY_METADATA + if metadata is None else + types.MappingProxyType(metadata)) + self._field_type = None + + def __repr__(self): + return ('Field(' + f'name={self.name!r},' + f'type={self.type!r},' + f'default={self.default!r},' + f'default_factory={self.default_factory!r},' + f'init={self.init!r},' + f'repr={self.repr!r},' + f'hash={self.hash!r},' + f'compare={self.compare!r},' + f'metadata={self.metadata!r},' + f'_field_type={self._field_type}' + ')') + + # This is used to support the PEP 487 __set_name__ protocol in the + # case where we're using a field that contains a descriptor as a + # default 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. + 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. + func(self.default, owner, name) + __class_getitem__ = classmethod(GenericAlias) - - -class _DataclassParams: - __slots__ = ('init', - 'repr', - 'eq', - 'order', - 'unsafe_hash', - 'frozen', - ) - - def __init__(self, init, repr, eq, order, unsafe_hash, frozen): - self.init = init - self.repr = repr - self.eq = eq - self.order = order - self.unsafe_hash = unsafe_hash - self.frozen = frozen - - def __repr__(self): - return ('_DataclassParams(' - f'init={self.init!r},' - f'repr={self.repr!r},' - f'eq={self.eq!r},' - f'order={self.order!r},' - f'unsafe_hash={self.unsafe_hash!r},' - f'frozen={self.frozen!r}' - ')') - - -# This function is used instead of exposing Field creation directly, -# so that a type checker can be told (via overloads) that this is a -# function whose type depends on its parameters. -def field(*, default=MISSING, default_factory=MISSING, init=True, repr=True, - hash=None, compare=True, metadata=None): - """Return an object to identify dataclass fields. - - default is the default value of the field. default_factory is a - 0-argument function called to initialize a field's value. If 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 - 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. - - It is an error to specify both default and default_factory. - """ - - if default is not MISSING and default_factory is not MISSING: - raise ValueError('cannot specify both default and default_factory') - return Field(default, default_factory, init, repr, hash, compare, - metadata) - - -def _tuple_str(obj_name, fields): - # Return a string representing each field of obj_name as a tuple - # member. So, if fields is ['x', 'y'] and obj_name is "self", - # return "(self.x,self.y)". - - # Special case for the 0-tuple. - if not fields: - return '()' - # Note the trailing comma, needed if this turns out to be a 1-tuple. - return f'({",".join([f"{obj_name}.{f.name}" for f in fields])},)' - - -# This function's logic is copied from "recursive_repr" function in -# reprlib module to avoid dependency. -def _recursive_repr(user_function): - # Decorator to make a repr function return "..." for a recursive - # call. - repr_running = set() - - @functools.wraps(user_function) - def wrapper(self): - key = id(self), _thread.get_ident() - if key in repr_running: - return '...' - repr_running.add(key) - try: - result = user_function(self) - finally: - repr_running.discard(key) - return result - return wrapper - - -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. - if locals is None: - locals = {} + + +class _DataclassParams: + __slots__ = ('init', + 'repr', + 'eq', + 'order', + 'unsafe_hash', + 'frozen', + ) + + def __init__(self, init, repr, eq, order, unsafe_hash, frozen): + self.init = init + self.repr = repr + self.eq = eq + self.order = order + self.unsafe_hash = unsafe_hash + self.frozen = frozen + + def __repr__(self): + return ('_DataclassParams(' + f'init={self.init!r},' + f'repr={self.repr!r},' + f'eq={self.eq!r},' + f'order={self.order!r},' + f'unsafe_hash={self.unsafe_hash!r},' + f'frozen={self.frozen!r}' + ')') + + +# This function is used instead of exposing Field creation directly, +# so that a type checker can be told (via overloads) that this is a +# function whose type depends on its parameters. +def field(*, default=MISSING, default_factory=MISSING, init=True, repr=True, + hash=None, compare=True, metadata=None): + """Return an object to identify dataclass fields. + + default is the default value of the field. default_factory is a + 0-argument function called to initialize a field's value. If 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 + 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. + + It is an error to specify both default and default_factory. + """ + + if default is not MISSING and default_factory is not MISSING: + raise ValueError('cannot specify both default and default_factory') + return Field(default, default_factory, init, repr, hash, compare, + metadata) + + +def _tuple_str(obj_name, fields): + # Return a string representing each field of obj_name as a tuple + # member. So, if fields is ['x', 'y'] and obj_name is "self", + # return "(self.x,self.y)". + + # Special case for the 0-tuple. + if not fields: + return '()' + # Note the trailing comma, needed if this turns out to be a 1-tuple. + return f'({",".join([f"{obj_name}.{f.name}" for f in fields])},)' + + +# This function's logic is copied from "recursive_repr" function in +# reprlib module to avoid dependency. +def _recursive_repr(user_function): + # Decorator to make a repr function return "..." for a recursive + # call. + repr_running = set() + + @functools.wraps(user_function) + def wrapper(self): + key = id(self), _thread.get_ident() + if key in repr_running: + return '...' + repr_running.add(key) + try: + result = user_function(self) + finally: + repr_running.discard(key) + return result + return wrapper + + +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. + if locals is None: + locals = {} if 'BUILTINS' not in locals: locals['BUILTINS'] = builtins - return_annotation = '' - if return_type is not MISSING: - locals['_return_type'] = return_type - return_annotation = '->_return_type' - args = ','.join(args) + return_annotation = '' + if return_type is not MISSING: + locals['_return_type'] = return_type + return_annotation = '->_return_type' + args = ','.join(args) body = '\n'.join(f' {b}' for b in body) - - # Compute the text of the entire function. + + # Compute the text of the entire function. txt = f' def {name}({args}){return_annotation}:\n{body}' - + local_vars = ', '.join(locals.keys()) txt = f"def __create_fn__({local_vars}):\n{txt}\n return {name}" - + ns = {} exec(txt, globals, ns) return ns['__create_fn__'](**locals) - - -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: + + +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: return f'BUILTINS.object.__setattr__({self_name},{name!r},{value})' - return f'{self_name}.{name}={value}' - - -def _field_init(f, frozen, globals, self_name): - # Return the text of the line in the body of __init__ that will - # initialize this field. - - default_name = f'_dflt_{f.name}' - if f.default_factory is not MISSING: - if f.init: - # This field has a default factory. If a parameter is - # given, use it. If not, call the factory. - globals[default_name] = f.default_factory - value = (f'{default_name}() ' - f'if {f.name} is _HAS_DEFAULT_FACTORY ' - f'else {f.name}') - else: - # This is a field that's not in the __init__ params, but - # has a default factory function. It needs to be - # initialized here by calling the factory function, - # because there's no other way to initialize it. - - # For a field initialized with a default=defaultvalue, the - # class dict just has the default value - # (cls.fieldname=defaultvalue). But that won't work for a - # default factory, the factory must be called in __init__ - # and we must assign that to self.fieldname. We can't - # fall back to the class dict's value, both because it's - # not set, and because it might be different per-class - # (which, after all, is why we have a factory function!). - - globals[default_name] = f.default_factory - value = f'{default_name}()' - else: - # No default factory. - if f.init: - if f.default is MISSING: - # There's no default, just do an assignment. - value = f.name - elif f.default is not MISSING: - globals[default_name] = f.default - value = f.name - else: - # 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 - # default. However, return None to signify that we're not going - # to actually do the assignment statement for InitVars. - if f._field_type is _FIELD_INITVAR: - return None - - # Now, actually generate the field assignment. - return _field_assign(frozen, f.name, value, 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', - # 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. - default = '' - elif f.default is not MISSING: - # 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. - default = '=_HAS_DEFAULT_FACTORY' - return f'{f.name}:_type_{f.name}{default}' - - + return f'{self_name}.{name}={value}' + + +def _field_init(f, frozen, globals, self_name): + # Return the text of the line in the body of __init__ that will + # initialize this field. + + default_name = f'_dflt_{f.name}' + if f.default_factory is not MISSING: + if f.init: + # This field has a default factory. If a parameter is + # given, use it. If not, call the factory. + globals[default_name] = f.default_factory + value = (f'{default_name}() ' + f'if {f.name} is _HAS_DEFAULT_FACTORY ' + f'else {f.name}') + else: + # This is a field that's not in the __init__ params, but + # has a default factory function. It needs to be + # initialized here by calling the factory function, + # because there's no other way to initialize it. + + # For a field initialized with a default=defaultvalue, the + # class dict just has the default value + # (cls.fieldname=defaultvalue). But that won't work for a + # default factory, the factory must be called in __init__ + # and we must assign that to self.fieldname. We can't + # fall back to the class dict's value, both because it's + # not set, and because it might be different per-class + # (which, after all, is why we have a factory function!). + + globals[default_name] = f.default_factory + value = f'{default_name}()' + else: + # No default factory. + if f.init: + if f.default is MISSING: + # There's no default, just do an assignment. + value = f.name + elif f.default is not MISSING: + globals[default_name] = f.default + value = f.name + else: + # 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 + # default. However, return None to signify that we're not going + # to actually do the assignment statement for InitVars. + if f._field_type is _FIELD_INITVAR: + return None + + # Now, actually generate the field assignment. + return _field_assign(frozen, f.name, value, 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', + # 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. + default = '' + elif f.default is not MISSING: + # 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. + default = '=_HAS_DEFAULT_FACTORY' + return f'{f.name}:_type_{f.name}{default}' + + def _init_fn(fields, frozen, has_post_init, self_name, globals): - # fields contains both real fields and InitVar pseudo-fields. - - # Make sure we don't have fields without defaults following fields - # with defaults. This actually would be caught when exec-ing the - # function source code, but catching it here gives a better error - # message, and future-proofs us in case we build up the function - # using ast. - seen_default = False - for f in fields: - # Only consider fields in the __init__ call. - if f.init: - if not (f.default is MISSING and f.default_factory is MISSING): - seen_default = True - elif seen_default: - raise TypeError(f'non-default argument {f.name!r} ' - 'follows default argument') - + # fields contains both real fields and InitVar pseudo-fields. + + # Make sure we don't have fields without defaults following fields + # with defaults. This actually would be caught when exec-ing the + # function source code, but catching it here gives a better error + # message, and future-proofs us in case we build up the function + # using ast. + seen_default = False + for f in fields: + # Only consider fields in the __init__ call. + if f.init: + if not (f.default is MISSING and f.default_factory is MISSING): + seen_default = True + elif seen_default: + raise TypeError(f'non-default argument {f.name!r} ' + 'follows default argument') + locals = {f'_type_{f.name}': f.type for f in fields} locals.update({ 'MISSING': MISSING, '_HAS_DEFAULT_FACTORY': _HAS_DEFAULT_FACTORY, }) - - body_lines = [] - for f in fields: + + body_lines = [] + for f in fields: line = _field_init(f, frozen, locals, self_name) - # line is None means that this field doesn't require - # initialization (it's a pseudo-field). Just skip it. - if line: - body_lines.append(line) - - # Does this class have a post-init function? - if has_post_init: - params_str = ','.join(f.name for f in fields - if f._field_type is _FIELD_INITVAR) - body_lines.append(f'{self_name}.{_POST_INIT_NAME}({params_str})') - - # If no body lines, use 'pass'. - if not body_lines: - body_lines = ['pass'] - - return _create_fn('__init__', - [self_name] + [_init_param(f) for f in fields if f.init], - body_lines, - locals=locals, - globals=globals, - return_type=None) - - + # line is None means that this field doesn't require + # initialization (it's a pseudo-field). Just skip it. + if line: + body_lines.append(line) + + # Does this class have a post-init function? + if has_post_init: + params_str = ','.join(f.name for f in fields + if f._field_type is _FIELD_INITVAR) + body_lines.append(f'{self_name}.{_POST_INIT_NAME}({params_str})') + + # If no body lines, use 'pass'. + if not body_lines: + body_lines = ['pass'] + + return _create_fn('__init__', + [self_name] + [_init_param(f) for f in fields if f.init], + body_lines, + locals=locals, + globals=globals, + return_type=None) + + def _repr_fn(fields, globals): - fn = _create_fn('__repr__', - ('self',), - ['return self.__class__.__qualname__ + f"(' + - ', '.join([f"{f.name}={{self.{f.name}!r}}" - for f in fields]) + + fn = _create_fn('__repr__', + ('self',), + ['return self.__class__.__qualname__ + f"(' + + ', '.join([f"{f.name}={{self.{f.name}!r}}" + for f in fields]) + ')"'], globals=globals) - return _recursive_repr(fn) - - + return _recursive_repr(fn) + + def _frozen_get_del_attr(cls, fields, globals): locals = {'cls': cls, - 'FrozenInstanceError': FrozenInstanceError} - if fields: - fields_str = '(' + ','.join(repr(f.name) for f in fields) + ',)' - else: - # Special case for the zero-length tuple. - fields_str = '()' - return (_create_fn('__setattr__', - ('self', 'name', 'value'), - (f'if type(self) is cls or name in {fields_str}:', - ' raise FrozenInstanceError(f"cannot assign to field {name!r}")', - f'super(cls, self).__setattr__(name, value)'), + 'FrozenInstanceError': FrozenInstanceError} + if fields: + fields_str = '(' + ','.join(repr(f.name) for f in fields) + ',)' + else: + # Special case for the zero-length tuple. + fields_str = '()' + return (_create_fn('__setattr__', + ('self', 'name', 'value'), + (f'if type(self) is cls or name in {fields_str}:', + ' raise FrozenInstanceError(f"cannot assign to field {name!r}")', + f'super(cls, self).__setattr__(name, value)'), locals=locals, - globals=globals), - _create_fn('__delattr__', - ('self', 'name'), - (f'if type(self) is cls or name in {fields_str}:', - ' raise FrozenInstanceError(f"cannot delete field {name!r}")', - f'super(cls, self).__delattr__(name)'), + globals=globals), + _create_fn('__delattr__', + ('self', 'name'), + (f'if type(self) is cls or name in {fields_str}:', + ' raise FrozenInstanceError(f"cannot delete field {name!r}")', + f'super(cls, self).__delattr__(name)'), locals=locals, - globals=globals), - ) - - + globals=globals), + ) + + def _cmp_fn(name, op, self_tuple, other_tuple, globals): - # Create a comparison function. If the fields in the object are - # named 'x' and 'y', then self_tuple is the string - # '(self.x,self.y)' and other_tuple is the string - # '(other.x,other.y)'. - - return _create_fn(name, - ('self', 'other'), - [ 'if other.__class__ is self.__class__:', - f' return {self_tuple}{op}{other_tuple}', + # Create a comparison function. If the fields in the object are + # named 'x' and 'y', then self_tuple is the string + # '(self.x,self.y)' and other_tuple is the string + # '(other.x,other.y)'. + + return _create_fn(name, + ('self', 'other'), + [ 'if other.__class__ is self.__class__:', + f' return {self_tuple}{op}{other_tuple}', 'return NotImplemented'], globals=globals) - - + + def _hash_fn(fields, globals): - self_tuple = _tuple_str('self', fields) - return _create_fn('__hash__', - ('self',), + self_tuple = _tuple_str('self', fields) + return _create_fn('__hash__', + ('self',), [f'return hash({self_tuple})'], globals=globals) - - -def _is_classvar(a_type, typing): - # This test uses a typing internal class, but it's the best way to - # test if this is a ClassVar. - return (a_type is typing.ClassVar - or (type(a_type) is typing._GenericAlias - and a_type.__origin__ is typing.ClassVar)) - - -def _is_initvar(a_type, dataclasses): - # The module we're checking against is the module we're - # currently in (dataclasses.py). + + +def _is_classvar(a_type, typing): + # This test uses a typing internal class, but it's the best way to + # test if this is a ClassVar. + return (a_type is typing.ClassVar + or (type(a_type) is typing._GenericAlias + and a_type.__origin__ is typing.ClassVar)) + + +def _is_initvar(a_type, dataclasses): + # The module we're checking against is the module we're + # currently in (dataclasses.py). return (a_type is dataclasses.InitVar or type(a_type) is dataclasses.InitVar) - - -def _is_type(annotation, cls, a_module, a_type, is_type_predicate): - # Given a type annotation string, does it refer to a_type in - # a_module? For example, when checking that annotation denotes a - # ClassVar, then a_module is typing, and a_type is - # typing.ClassVar. - - # It's possible to look up a_module given a_type, but it involves - # looking in sys.modules (again!), and seems like a waste since - # the caller already knows a_module. - - # - annotation is a string type annotation - # - cls is the class that this annotation was found in - # - a_module is the module we want to match - # - a_type is the type in that module we want to match - # - is_type_predicate is a function called with (obj, a_module) - # that determines if obj is of the desired type. - - # Since this test does not do a local namespace lookup (and - # instead only a module (global) lookup), there are some things it - # gets wrong. - - # With string annotations, cv0 will be detected as a ClassVar: - # CV = ClassVar - # @dataclass - # class C0: - # cv0: CV - - # 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 (_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: - ns = None - module_name = match.group(1) - if not module_name: - # No module name, assume the class's module did - # "from dataclasses import InitVar". - ns = sys.modules.get(cls.__module__).__dict__ - else: - # Look up module_name in the class's module. - module = sys.modules.get(cls.__module__) - if module and module.__dict__.get(module_name) is a_module: - ns = sys.modules.get(a_type.__module__).__dict__ - if ns and is_type_predicate(ns.get(match.group(2)), a_module): - return True - return False - - -def _get_field(cls, a_name, a_type): - # Return a Field object for this field name and type. ClassVars - # 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(). - default = getattr(cls, a_name, MISSING) - if isinstance(default, Field): - f = default - else: - if isinstance(default, types.MemberDescriptorType): - # This is a field in __slots__, so it has no default value. - default = MISSING - f = field(default=default) - - # Only at this point do we know the name and the type. Set them. - f.name = a_name - f.type = a_type - - # Assume it's a normal field until proven otherwise. We're next - # going to decide if it's a ClassVar or InitVar, everything else - # is just a normal field. - f._field_type = _FIELD - - # In addition to checking for actual types here, also check for - # string annotations. get_type_hints() won't always work for us - # (see https://github.com/python/typing/issues/508 for example), + + +def _is_type(annotation, cls, a_module, a_type, is_type_predicate): + # Given a type annotation string, does it refer to a_type in + # a_module? For example, when checking that annotation denotes a + # ClassVar, then a_module is typing, and a_type is + # typing.ClassVar. + + # It's possible to look up a_module given a_type, but it involves + # looking in sys.modules (again!), and seems like a waste since + # the caller already knows a_module. + + # - annotation is a string type annotation + # - cls is the class that this annotation was found in + # - a_module is the module we want to match + # - a_type is the type in that module we want to match + # - is_type_predicate is a function called with (obj, a_module) + # that determines if obj is of the desired type. + + # Since this test does not do a local namespace lookup (and + # instead only a module (global) lookup), there are some things it + # gets wrong. + + # With string annotations, cv0 will be detected as a ClassVar: + # CV = ClassVar + # @dataclass + # class C0: + # cv0: CV + + # 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 (_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: + ns = None + module_name = match.group(1) + if not module_name: + # No module name, assume the class's module did + # "from dataclasses import InitVar". + ns = sys.modules.get(cls.__module__).__dict__ + else: + # Look up module_name in the class's module. + module = sys.modules.get(cls.__module__) + if module and module.__dict__.get(module_name) is a_module: + ns = sys.modules.get(a_type.__module__).__dict__ + if ns and is_type_predicate(ns.get(match.group(2)), a_module): + return True + return False + + +def _get_field(cls, a_name, a_type): + # Return a Field object for this field name and type. ClassVars + # 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(). + default = getattr(cls, a_name, MISSING) + if isinstance(default, Field): + f = default + else: + if isinstance(default, types.MemberDescriptorType): + # This is a field in __slots__, so it has no default value. + default = MISSING + f = field(default=default) + + # Only at this point do we know the name and the type. Set them. + f.name = a_name + f.type = a_type + + # Assume it's a normal field until proven otherwise. We're next + # going to decide if it's a ClassVar or InitVar, everything else + # is just a normal field. + f._field_type = _FIELD + + # In addition to checking for actual types here, also check for + # 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 string - # 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 - - # If typing has not been imported, then it's impossible for any - # annotation to be a ClassVar. So, only look for ClassVar if - # typing has been imported by any module (not necessarily cls's - # module). - typing = sys.modules.get('typing') - if typing: - if (_is_classvar(a_type, typing) - or (isinstance(f.type, str) - and _is_type(f.type, cls, typing, typing.ClassVar, - _is_classvar))): - f._field_type = _FIELD_CLASSVAR - - # If the type is InitVar, or if it's a matching string annotation, - # then it's an InitVar. - if f._field_type is _FIELD: - # The module we're checking against is the module we're - # currently in (dataclasses.py). - dataclasses = sys.modules[__name__] - if (_is_initvar(a_type, dataclasses) - or (isinstance(f.type, str) - and _is_type(f.type, cls, dataclasses, dataclasses.InitVar, - _is_initvar))): - f._field_type = _FIELD_INITVAR - - # Validations for individual fields. This is delayed until now, - # instead of in the Field() constructor, since only here do we - # know the field name, which allows for better error reporting. - - # Special restrictions for ClassVar and InitVar. - if f._field_type in (_FIELD_CLASSVAR, _FIELD_INITVAR): - if f.default_factory is not MISSING: - 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, - # init=<not-the-default-init-value>)? It makes no sense for - # ClassVar and InitVar to specify init=<anything>. - - # For real fields, disallow mutable defaults for known types. - if f._field_type is _FIELD and isinstance(f.default, (list, dict, set)): - raise ValueError(f'mutable default {type(f.default)} for field ' - f'{f.name} is not allowed: use default_factory') - - return f - - -def _set_new_attribute(cls, name, value): - # Never overwrites an existing attribute. Returns True if the - # attribute already exists. - if name in cls.__dict__: - return True - setattr(cls, name, value) - return False - - -# Decide if/how we're going to create a hash function. Key is -# (unsafe_hash, eq, frozen, does-hash-exist). Value is the action to -# take. The common case is to do nothing, so instead of providing a -# function that is a no-op, use None to signify that. - + # 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 + + # If typing has not been imported, then it's impossible for any + # annotation to be a ClassVar. So, only look for ClassVar if + # typing has been imported by any module (not necessarily cls's + # module). + typing = sys.modules.get('typing') + if typing: + if (_is_classvar(a_type, typing) + or (isinstance(f.type, str) + and _is_type(f.type, cls, typing, typing.ClassVar, + _is_classvar))): + f._field_type = _FIELD_CLASSVAR + + # If the type is InitVar, or if it's a matching string annotation, + # then it's an InitVar. + if f._field_type is _FIELD: + # The module we're checking against is the module we're + # currently in (dataclasses.py). + dataclasses = sys.modules[__name__] + if (_is_initvar(a_type, dataclasses) + or (isinstance(f.type, str) + and _is_type(f.type, cls, dataclasses, dataclasses.InitVar, + _is_initvar))): + f._field_type = _FIELD_INITVAR + + # Validations for individual fields. This is delayed until now, + # instead of in the Field() constructor, since only here do we + # know the field name, which allows for better error reporting. + + # Special restrictions for ClassVar and InitVar. + if f._field_type in (_FIELD_CLASSVAR, _FIELD_INITVAR): + if f.default_factory is not MISSING: + 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, + # init=<not-the-default-init-value>)? It makes no sense for + # ClassVar and InitVar to specify init=<anything>. + + # For real fields, disallow mutable defaults for known types. + if f._field_type is _FIELD and isinstance(f.default, (list, dict, set)): + raise ValueError(f'mutable default {type(f.default)} for field ' + f'{f.name} is not allowed: use default_factory') + + return f + + +def _set_new_attribute(cls, name, value): + # Never overwrites an existing attribute. Returns True if the + # attribute already exists. + if name in cls.__dict__: + return True + setattr(cls, name, value) + return False + + +# Decide if/how we're going to create a hash function. Key is +# (unsafe_hash, eq, frozen, does-hash-exist). Value is the action to +# take. The common case is to do nothing, so instead of providing a +# function that is a no-op, use None to signify that. + def _hash_set_none(cls, fields, globals): - return None - + return None + def _hash_add(cls, fields, globals): - flds = [f for f in fields if (f.compare if f.hash is None else f.hash)] + flds = [f for f in fields if (f.compare if f.hash is None else f.hash)] return _hash_fn(flds, globals) - + def _hash_exception(cls, fields, globals): - # Raise an exception. - raise TypeError(f'Cannot overwrite attribute __hash__ ' - f'in class {cls.__name__}') - -# -# +-------------------------------------- unsafe_hash? -# | +------------------------------- eq? -# | | +------------------------ frozen? -# | | | +---------------- has-explicit-hash? -# | | | | -# | | | | +------- action -# | | | | | -# v v v v v -_hash_action = {(False, False, False, False): None, - (False, False, False, True ): None, - (False, False, True, False): None, - (False, False, True, True ): None, - (False, True, False, False): _hash_set_none, - (False, True, False, True ): None, - (False, True, True, False): _hash_add, - (False, True, True, True ): None, - (True, False, False, False): _hash_add, - (True, False, False, True ): _hash_exception, - (True, False, True, False): _hash_add, - (True, False, True, True ): _hash_exception, - (True, True, False, False): _hash_add, - (True, True, False, True ): _hash_exception, - (True, True, True, False): _hash_add, - (True, True, True, True ): _hash_exception, - } -# See https://bugs.python.org/issue32929#msg312829 for an if-statement -# version of this table. - - -def _process_class(cls, init, repr, eq, order, unsafe_hash, frozen): - # Now that dicts retain insertion order, there's no reason to use - # an ordered dict. I am leveraging that ordering here, because - # derived class fields overwrite base class fields, but the order - # is defined by the base class, which is found first. - fields = {} - + # Raise an exception. + raise TypeError(f'Cannot overwrite attribute __hash__ ' + f'in class {cls.__name__}') + +# +# +-------------------------------------- unsafe_hash? +# | +------------------------------- eq? +# | | +------------------------ frozen? +# | | | +---------------- has-explicit-hash? +# | | | | +# | | | | +------- action +# | | | | | +# v v v v v +_hash_action = {(False, False, False, False): None, + (False, False, False, True ): None, + (False, False, True, False): None, + (False, False, True, True ): None, + (False, True, False, False): _hash_set_none, + (False, True, False, True ): None, + (False, True, True, False): _hash_add, + (False, True, True, True ): None, + (True, False, False, False): _hash_add, + (True, False, False, True ): _hash_exception, + (True, False, True, False): _hash_add, + (True, False, True, True ): _hash_exception, + (True, True, False, False): _hash_add, + (True, True, False, True ): _hash_exception, + (True, True, True, False): _hash_add, + (True, True, True, True ): _hash_exception, + } +# See https://bugs.python.org/issue32929#msg312829 for an if-statement +# version of this table. + + +def _process_class(cls, init, repr, eq, order, unsafe_hash, frozen): + # Now that dicts retain insertion order, there's no reason to use + # an ordered dict. I am leveraging that ordering here, because + # derived class fields overwrite base class fields, but the order + # is defined by the base class, which is found first. + fields = {} + if cls.__module__ in sys.modules: globals = sys.modules[cls.__module__].__dict__ else: @@ -823,462 +823,462 @@ def _process_class(cls, init, repr, eq, order, unsafe_hash, frozen): # correctly. globals = {} - setattr(cls, _PARAMS, _DataclassParams(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. - any_frozen_base = False - has_dataclass_bases = False - for b in cls.__mro__[-1:0:-1]: - # Only process classes that have been processed by our - # decorator. That is, they have a _FIELDS attribute. - base_fields = getattr(b, _FIELDS, None) + setattr(cls, _PARAMS, _DataclassParams(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. + any_frozen_base = False + has_dataclass_bases = False + for b in cls.__mro__[-1:0:-1]: + # Only process classes that have been processed by our + # decorator. That is, they have a _FIELDS attribute. + base_fields = getattr(b, _FIELDS, None) if base_fields is not None: - has_dataclass_bases = True - for f in base_fields.values(): - fields[f.name] = f - if getattr(b, _PARAMS).frozen: - any_frozen_base = True - - # 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. - # - # 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. - 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. - 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 isinstance(getattr(cls, f.name, None), Field): - if f.default is MISSING: - # If there's no default, delete the class attribute. - # This happens if we specify field(repr=False), for - # example (that is, we specified a field object, but - # no default value). Also if we're using a default - # factory. The class attribute should not be set at - # all in the post-processed class. - delattr(cls, f.name) - else: - setattr(cls, f.name, f.default) - - # Do we have any Field members that don't also have annotations? - for name, value in cls.__dict__.items(): - if isinstance(value, Field) and not name in cls_annotations: - raise TypeError(f'{name!r} is a field but has no type annotation') - - # Check rules that apply if we are derived from any dataclasses. - if has_dataclass_bases: - # Raise an exception if any of our bases are frozen, but we're not. - if any_frozen_base and not frozen: - raise TypeError('cannot inherit non-frozen dataclass from a ' - 'frozen one') - - # Raise an exception if we're frozen, but none of our bases are. - if not any_frozen_base and 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. - setattr(cls, _FIELDS, fields) - - # Was this class defined with an explicit __hash__? Note that if - # __eq__ is defined in this class, then python will automatically - # set __hash__ to None. This is a heuristic, as it's possible - # that such a __hash__ == None was not auto-generated, but it - # close enough. - class_hash = cls.__dict__.get('__hash__', MISSING) - 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 order and not eq: - raise ValueError('eq must be true if order is true') - - if init: - # Does this class have a post-init function? - has_post_init = hasattr(cls, _POST_INIT_NAME) - - # Include InitVars and regular fields (so, not ClassVars). - flds = [f for f in fields.values() - if f._field_type in (_FIELD, _FIELD_INITVAR)] - _set_new_attribute(cls, '__init__', - _init_fn(flds, - frozen, - has_post_init, - # The name to use for the "self" - # param in __init__. Use "self" - # if possible. - '__dataclass_self__' if 'self' in fields - else 'self', + has_dataclass_bases = True + for f in base_fields.values(): + fields[f.name] = f + if getattr(b, _PARAMS).frozen: + any_frozen_base = True + + # 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. + # + # 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. + 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. + 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 isinstance(getattr(cls, f.name, None), Field): + if f.default is MISSING: + # If there's no default, delete the class attribute. + # This happens if we specify field(repr=False), for + # example (that is, we specified a field object, but + # no default value). Also if we're using a default + # factory. The class attribute should not be set at + # all in the post-processed class. + delattr(cls, f.name) + else: + setattr(cls, f.name, f.default) + + # Do we have any Field members that don't also have annotations? + for name, value in cls.__dict__.items(): + if isinstance(value, Field) and not name in cls_annotations: + raise TypeError(f'{name!r} is a field but has no type annotation') + + # Check rules that apply if we are derived from any dataclasses. + if has_dataclass_bases: + # Raise an exception if any of our bases are frozen, but we're not. + if any_frozen_base and not frozen: + raise TypeError('cannot inherit non-frozen dataclass from a ' + 'frozen one') + + # Raise an exception if we're frozen, but none of our bases are. + if not any_frozen_base and 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. + setattr(cls, _FIELDS, fields) + + # Was this class defined with an explicit __hash__? Note that if + # __eq__ is defined in this class, then python will automatically + # set __hash__ to None. This is a heuristic, as it's possible + # that such a __hash__ == None was not auto-generated, but it + # close enough. + class_hash = cls.__dict__.get('__hash__', MISSING) + 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 order and not eq: + raise ValueError('eq must be true if order is true') + + if init: + # Does this class have a post-init function? + has_post_init = hasattr(cls, _POST_INIT_NAME) + + # Include InitVars and regular fields (so, not ClassVars). + flds = [f for f in fields.values() + if f._field_type in (_FIELD, _FIELD_INITVAR)] + _set_new_attribute(cls, '__init__', + _init_fn(flds, + frozen, + has_post_init, + # The name to use for the "self" + # param in __init__. Use "self" + # if possible. + '__dataclass_self__' if 'self' in fields + else 'self', globals, - )) - - # Get the fields as a list, and include only real fields. This is - # used in all of the following methods. - field_list = [f for f in fields.values() if f._field_type is _FIELD] - - if repr: - flds = [f for f in field_list if f.repr] + )) + + # Get the fields as a list, and include only real fields. This is + # used in all of the following methods. + field_list = [f for f in fields.values() if f._field_type is _FIELD] + + if repr: + flds = [f for f in field_list if f.repr] _set_new_attribute(cls, '__repr__', _repr_fn(flds, globals)) - - if eq: + + if eq: # Create __eq__ method. There's no need for a __ne__ method, - # since python will call __eq__ and negate it. - flds = [f for f in field_list if f.compare] - self_tuple = _tuple_str('self', flds) - other_tuple = _tuple_str('other', flds) - _set_new_attribute(cls, '__eq__', - _cmp_fn('__eq__', '==', + # since python will call __eq__ and negate it. + flds = [f for f in field_list if f.compare] + self_tuple = _tuple_str('self', flds) + other_tuple = _tuple_str('other', flds) + _set_new_attribute(cls, '__eq__', + _cmp_fn('__eq__', '==', self_tuple, other_tuple, globals=globals)) - - if order: - # Create and set the ordering methods. - flds = [f for f in field_list if f.compare] - self_tuple = _tuple_str('self', flds) - other_tuple = _tuple_str('other', flds) - for name, op in [('__lt__', '<'), - ('__le__', '<='), - ('__gt__', '>'), - ('__ge__', '>='), - ]: - if _set_new_attribute(cls, name, + + if order: + # Create and set the ordering methods. + flds = [f for f in field_list if f.compare] + self_tuple = _tuple_str('self', flds) + other_tuple = _tuple_str('other', flds) + for name, op in [('__lt__', '<'), + ('__le__', '<='), + ('__gt__', '>'), + ('__ge__', '>='), + ]: + if _set_new_attribute(cls, name, _cmp_fn(name, op, self_tuple, other_tuple, globals=globals)): - raise TypeError(f'Cannot overwrite attribute {name} ' - f'in class {cls.__name__}. Consider using ' - 'functools.total_ordering') - - if frozen: + raise TypeError(f'Cannot overwrite attribute {name} ' + f'in class {cls.__name__}. Consider using ' + 'functools.total_ordering') + + if frozen: for fn in _frozen_get_del_attr(cls, field_list, globals): - if _set_new_attribute(cls, fn.__name__, fn): - raise TypeError(f'Cannot overwrite attribute {fn.__name__} ' - f'in class {cls.__name__}') - - # Decide if/how we're going to create a hash function. - hash_action = _hash_action[bool(unsafe_hash), - bool(eq), - bool(frozen), - has_explicit_hash] - if hash_action: - # No need to call _set_new_attribute here, since by the time - # we're here the overwriting is unconditional. + if _set_new_attribute(cls, fn.__name__, fn): + raise TypeError(f'Cannot overwrite attribute {fn.__name__} ' + f'in class {cls.__name__}') + + # Decide if/how we're going to create a hash function. + hash_action = _hash_action[bool(unsafe_hash), + bool(eq), + bool(frozen), + has_explicit_hash] + if hash_action: + # No need to call _set_new_attribute here, since by the time + # we're here the overwriting is unconditional. cls.__hash__ = hash_action(cls, field_list, globals) - - if not getattr(cls, '__doc__'): - # Create a class doc-string. - cls.__doc__ = (cls.__name__ + - str(inspect.signature(cls)).replace(' -> None', '')) - - return cls - - + + if not getattr(cls, '__doc__'): + # Create a class doc-string. + cls.__doc__ = (cls.__name__ + + str(inspect.signature(cls)).replace(' -> None', '')) + + return cls + + def dataclass(cls=None, /, *, init=True, repr=True, eq=True, order=False, - unsafe_hash=False, frozen=False): - """Returns the same class as was passed in, with dunder methods - added based on the fields defined in the class. - - Examines PEP 526 __annotations__ to determine fields. - - If init is true, an __init__() method is added to the class. If - repr is true, a __repr__() method is added. If order is true, rich - comparison dunder methods are added. If unsafe_hash is true, a - __hash__() method function is added. If frozen is true, fields may - not be assigned to after instance creation. - """ - - def wrap(cls): - return _process_class(cls, init, repr, eq, order, unsafe_hash, frozen) - - # See if we're being called as @dataclass or @dataclass(). + unsafe_hash=False, frozen=False): + """Returns the same class as was passed in, with dunder methods + added based on the fields defined in the class. + + Examines PEP 526 __annotations__ to determine fields. + + If init is true, an __init__() method is added to the class. If + repr is true, a __repr__() method is added. If order is true, rich + comparison dunder methods are added. If unsafe_hash is true, a + __hash__() method function is added. If frozen is true, fields may + not be assigned to after instance creation. + """ + + def wrap(cls): + return _process_class(cls, init, repr, eq, order, unsafe_hash, frozen) + + # See if we're being called as @dataclass or @dataclass(). if cls is None: - # We're called with parens. - return wrap - - # We're called as @dataclass without parens. + # We're called with parens. + return wrap + + # We're called as @dataclass without parens. return wrap(cls) - - -def fields(class_or_instance): - """Return a tuple describing the fields of this dataclass. - - Accepts a dataclass or an instance of one. Tuple elements are of - type Field. - """ - - # Might it be worth caching this, per class? - try: - fields = getattr(class_or_instance, _FIELDS) - except AttributeError: - raise TypeError('must be called with a dataclass type or instance') - - # Exclude pseudo-fields. Note that fields is sorted by insertion - # order, so the order of the tuple is as the fields were defined. - return tuple(f for f in fields.values() if f._field_type is _FIELD) - - -def _is_dataclass_instance(obj): - """Returns True if obj is an instance of a dataclass.""" + + +def fields(class_or_instance): + """Return a tuple describing the fields of this dataclass. + + Accepts a dataclass or an instance of one. Tuple elements are of + type Field. + """ + + # Might it be worth caching this, per class? + try: + fields = getattr(class_or_instance, _FIELDS) + except AttributeError: + raise TypeError('must be called with a dataclass type or instance') + + # Exclude pseudo-fields. Note that fields is sorted by insertion + # order, so the order of the tuple is as the fields were defined. + return tuple(f for f in fields.values() if f._field_type is _FIELD) + + +def _is_dataclass_instance(obj): + """Returns True if obj is an instance of a dataclass.""" return hasattr(type(obj), _FIELDS) - - -def is_dataclass(obj): - """Returns True if obj is a dataclass or an instance of a - dataclass.""" + + +def is_dataclass(obj): + """Returns True if obj is a dataclass or an instance of a + dataclass.""" cls = obj if isinstance(obj, type) and not isinstance(obj, GenericAlias) else type(obj) return hasattr(cls, _FIELDS) - - -def asdict(obj, *, dict_factory=dict): - """Return the fields of a dataclass instance as a new dictionary mapping - field names to field values. - - Example usage: - - @dataclass - class C: - x: int - y: int - - c = C(1, 2) - assert asdict(c) == {'x': 1, 'y': 2} - - If given, 'dict_factory' will be used instead of built-in dict. - The function applies recursively to field values that are - dataclass instances. This will also look into built-in containers: - tuples, lists, and dicts. - """ - if not _is_dataclass_instance(obj): - raise TypeError("asdict() should be called on dataclass instances") - return _asdict_inner(obj, dict_factory) - - -def _asdict_inner(obj, dict_factory): - if _is_dataclass_instance(obj): - result = [] - for f in fields(obj): - value = _asdict_inner(getattr(obj, f.name), dict_factory) - result.append((f.name, value)) - return dict_factory(result) - elif isinstance(obj, tuple) and hasattr(obj, '_fields'): - # obj is a namedtuple. Recurse into it, but the returned - # object is another namedtuple of the same type. This is - # similar to how other list- or tuple-derived classes are - # treated (see below), but we just need to create them - # differently because a namedtuple's __init__ needs to be - # called differently (see bpo-34363). - - # I'm not using namedtuple's _asdict() - # method, because: - # - it does not recurse in to the namedtuple fields and - # convert them to dicts (using dict_factory). + + +def asdict(obj, *, dict_factory=dict): + """Return the fields of a dataclass instance as a new dictionary mapping + field names to field values. + + Example usage: + + @dataclass + class C: + x: int + y: int + + c = C(1, 2) + assert asdict(c) == {'x': 1, 'y': 2} + + If given, 'dict_factory' will be used instead of built-in dict. + The function applies recursively to field values that are + dataclass instances. This will also look into built-in containers: + tuples, lists, and dicts. + """ + if not _is_dataclass_instance(obj): + raise TypeError("asdict() should be called on dataclass instances") + return _asdict_inner(obj, dict_factory) + + +def _asdict_inner(obj, dict_factory): + if _is_dataclass_instance(obj): + result = [] + for f in fields(obj): + value = _asdict_inner(getattr(obj, f.name), dict_factory) + result.append((f.name, value)) + return dict_factory(result) + elif isinstance(obj, tuple) and hasattr(obj, '_fields'): + # obj is a namedtuple. Recurse into it, but the returned + # object is another namedtuple of the same type. This is + # similar to how other list- or tuple-derived classes are + # treated (see below), but we just need to create them + # differently because a namedtuple's __init__ needs to be + # called differently (see bpo-34363). + + # I'm not using namedtuple's _asdict() + # method, because: + # - it does not recurse in to the namedtuple fields and + # convert them to dicts (using dict_factory). # - I don't actually want to return a dict here. The main - # use case here is json.dumps, and it handles converting - # namedtuples to lists. Admittedly we're losing some - # information here when we produce a json list instead of a - # dict. Note that if we returned dicts here instead of - # namedtuples, we could no longer call asdict() on a data - # structure where a namedtuple was used as a dict key. - - return type(obj)(*[_asdict_inner(v, dict_factory) for v in obj]) - elif isinstance(obj, (list, tuple)): - # Assume we can create an object of this type by passing in a - # generator (which is not true for namedtuples, handled - # above). - return type(obj)(_asdict_inner(v, dict_factory) for v in obj) - elif isinstance(obj, dict): - return type(obj)((_asdict_inner(k, dict_factory), - _asdict_inner(v, dict_factory)) - for k, v in obj.items()) - else: - return copy.deepcopy(obj) - - -def astuple(obj, *, tuple_factory=tuple): - """Return the fields of a dataclass instance as a new tuple of field values. - - Example usage:: - - @dataclass - class C: - x: int - y: int - - c = C(1, 2) - assert astuple(c) == (1, 2) - - If given, 'tuple_factory' will be used instead of built-in tuple. - The function applies recursively to field values that are - dataclass instances. This will also look into built-in containers: - tuples, lists, and dicts. - """ - - if not _is_dataclass_instance(obj): - raise TypeError("astuple() should be called on dataclass instances") - return _astuple_inner(obj, tuple_factory) - - -def _astuple_inner(obj, tuple_factory): - if _is_dataclass_instance(obj): - result = [] - for f in fields(obj): - value = _astuple_inner(getattr(obj, f.name), tuple_factory) - result.append(value) - return tuple_factory(result) - elif isinstance(obj, tuple) and hasattr(obj, '_fields'): - # obj is a namedtuple. Recurse into it, but the returned - # object is another namedtuple of the same type. This is - # similar to how other list- or tuple-derived classes are - # treated (see below), but we just need to create them - # differently because a namedtuple's __init__ needs to be - # called differently (see bpo-34363). - return type(obj)(*[_astuple_inner(v, tuple_factory) for v in obj]) - elif isinstance(obj, (list, tuple)): - # Assume we can create an object of this type by passing in a - # generator (which is not true for namedtuples, handled - # above). - return type(obj)(_astuple_inner(v, tuple_factory) for v in obj) - elif isinstance(obj, dict): - return type(obj)((_astuple_inner(k, tuple_factory), _astuple_inner(v, tuple_factory)) - for k, v in obj.items()) - else: - return copy.deepcopy(obj) - - -def make_dataclass(cls_name, fields, *, bases=(), namespace=None, init=True, - repr=True, eq=True, order=False, unsafe_hash=False, - frozen=False): - """Return a new dynamically created dataclass. - - The dataclass name will be 'cls_name'. 'fields' is an iterable - of either (name), (name, type) or (name, type, Field) objects. If type is - omitted, use the string 'typing.Any'. Field objects are created by - the equivalent of calling 'field(name, type [, Field-info])'. - - C = make_dataclass('C', ['x', ('y', int), ('z', int, field(init=False))], bases=(Base,)) - - is equivalent to: - - @dataclass - class C(Base): - x: 'typing.Any' - y: int - z: int = field(init=False) - - For the bases and namespace parameters, see the builtin type() function. - - The parameters init, repr, eq, order, unsafe_hash, and frozen are passed to - dataclass(). - """ - - if namespace is None: - namespace = {} - else: - # Copy namespace since we're going to mutate it. - namespace = namespace.copy() - - # While we're looking through the field names, validate that they - # are identifiers, are not keywords, and not duplicates. - seen = set() - anns = {} - for item in fields: - if isinstance(item, str): - name = item - tp = 'typing.Any' - elif len(item) == 2: - name, tp, = item - elif len(item) == 3: - name, tp, spec = item - namespace[name] = spec - else: - raise TypeError(f'Invalid field: {item!r}') - - if not isinstance(name, str) or not name.isidentifier(): + # use case here is json.dumps, and it handles converting + # namedtuples to lists. Admittedly we're losing some + # information here when we produce a json list instead of a + # dict. Note that if we returned dicts here instead of + # namedtuples, we could no longer call asdict() on a data + # structure where a namedtuple was used as a dict key. + + return type(obj)(*[_asdict_inner(v, dict_factory) for v in obj]) + elif isinstance(obj, (list, tuple)): + # Assume we can create an object of this type by passing in a + # generator (which is not true for namedtuples, handled + # above). + return type(obj)(_asdict_inner(v, dict_factory) for v in obj) + elif isinstance(obj, dict): + return type(obj)((_asdict_inner(k, dict_factory), + _asdict_inner(v, dict_factory)) + for k, v in obj.items()) + else: + return copy.deepcopy(obj) + + +def astuple(obj, *, tuple_factory=tuple): + """Return the fields of a dataclass instance as a new tuple of field values. + + Example usage:: + + @dataclass + class C: + x: int + y: int + + c = C(1, 2) + assert astuple(c) == (1, 2) + + If given, 'tuple_factory' will be used instead of built-in tuple. + The function applies recursively to field values that are + dataclass instances. This will also look into built-in containers: + tuples, lists, and dicts. + """ + + if not _is_dataclass_instance(obj): + raise TypeError("astuple() should be called on dataclass instances") + return _astuple_inner(obj, tuple_factory) + + +def _astuple_inner(obj, tuple_factory): + if _is_dataclass_instance(obj): + result = [] + for f in fields(obj): + value = _astuple_inner(getattr(obj, f.name), tuple_factory) + result.append(value) + return tuple_factory(result) + elif isinstance(obj, tuple) and hasattr(obj, '_fields'): + # obj is a namedtuple. Recurse into it, but the returned + # object is another namedtuple of the same type. This is + # similar to how other list- or tuple-derived classes are + # treated (see below), but we just need to create them + # differently because a namedtuple's __init__ needs to be + # called differently (see bpo-34363). + return type(obj)(*[_astuple_inner(v, tuple_factory) for v in obj]) + elif isinstance(obj, (list, tuple)): + # Assume we can create an object of this type by passing in a + # generator (which is not true for namedtuples, handled + # above). + return type(obj)(_astuple_inner(v, tuple_factory) for v in obj) + elif isinstance(obj, dict): + return type(obj)((_astuple_inner(k, tuple_factory), _astuple_inner(v, tuple_factory)) + for k, v in obj.items()) + else: + return copy.deepcopy(obj) + + +def make_dataclass(cls_name, fields, *, bases=(), namespace=None, init=True, + repr=True, eq=True, order=False, unsafe_hash=False, + frozen=False): + """Return a new dynamically created dataclass. + + The dataclass name will be 'cls_name'. 'fields' is an iterable + of either (name), (name, type) or (name, type, Field) objects. If type is + omitted, use the string 'typing.Any'. Field objects are created by + the equivalent of calling 'field(name, type [, Field-info])'. + + C = make_dataclass('C', ['x', ('y', int), ('z', int, field(init=False))], bases=(Base,)) + + is equivalent to: + + @dataclass + class C(Base): + x: 'typing.Any' + y: int + z: int = field(init=False) + + For the bases and namespace parameters, see the builtin type() function. + + The parameters init, repr, eq, order, unsafe_hash, and frozen are passed to + dataclass(). + """ + + if namespace is None: + namespace = {} + else: + # Copy namespace since we're going to mutate it. + namespace = namespace.copy() + + # While we're looking through the field names, validate that they + # are identifiers, are not keywords, and not duplicates. + seen = set() + anns = {} + for item in fields: + if isinstance(item, str): + name = item + tp = 'typing.Any' + elif len(item) == 2: + name, tp, = item + elif len(item) == 3: + name, tp, spec = item + namespace[name] = spec + else: + raise TypeError(f'Invalid field: {item!r}') + + if not isinstance(name, str) or not name.isidentifier(): raise TypeError(f'Field names must be valid identifiers: {name!r}') - if keyword.iskeyword(name): - raise TypeError(f'Field names must not be keywords: {name!r}') - if name in seen: - raise TypeError(f'Field name duplicated: {name!r}') - - seen.add(name) - anns[name] = tp - - namespace['__annotations__'] = anns - # We use `types.new_class()` instead of simply `type()` to allow dynamic creation - # of generic dataclassses. - cls = types.new_class(cls_name, bases, {}, lambda ns: ns.update(namespace)) - return dataclass(cls, init=init, repr=repr, eq=eq, order=order, - unsafe_hash=unsafe_hash, frozen=frozen) - - + if keyword.iskeyword(name): + raise TypeError(f'Field names must not be keywords: {name!r}') + if name in seen: + raise TypeError(f'Field name duplicated: {name!r}') + + seen.add(name) + anns[name] = tp + + namespace['__annotations__'] = anns + # We use `types.new_class()` instead of simply `type()` to allow dynamic creation + # of generic dataclassses. + cls = types.new_class(cls_name, bases, {}, lambda ns: ns.update(namespace)) + return dataclass(cls, init=init, repr=repr, eq=eq, order=order, + unsafe_hash=unsafe_hash, frozen=frozen) + + def replace(obj, /, **changes): - """Return a new object replacing specified fields with new values. - - This is especially useful for frozen classes. Example usage: - - @dataclass(frozen=True) - class C: - x: int - y: int - - c = C(1, 2) - c1 = replace(c, x=3) - 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)'. - - if not _is_dataclass_instance(obj): - raise TypeError("replace() should be called on dataclass instances") - - # It's an error to have init=False fields in 'changes'. - # If a field is not in 'changes', read its value from the provided obj. - - for f in getattr(obj, _FIELDS).values(): - # Only consider normal fields or InitVars. - if f._field_type is _FIELD_CLASSVAR: - continue - - if not f.init: - # Error if this field is specified in changes. - if f.name in changes: - raise ValueError(f'field {f.name} is declared with ' - 'init=False, it cannot be specified with ' - 'replace()') - continue - - if f.name not in changes: + """Return a new object replacing specified fields with new values. + + This is especially useful for frozen classes. Example usage: + + @dataclass(frozen=True) + class C: + x: int + y: int + + c = C(1, 2) + c1 = replace(c, x=3) + 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)'. + + if not _is_dataclass_instance(obj): + raise TypeError("replace() should be called on dataclass instances") + + # It's an error to have init=False fields in 'changes'. + # If a field is not in 'changes', read its value from the provided obj. + + for f in getattr(obj, _FIELDS).values(): + # Only consider normal fields or InitVars. + if f._field_type is _FIELD_CLASSVAR: + continue + + if not f.init: + # Error if this field is specified in changes. + if f.name in changes: + raise ValueError(f'field {f.name} is declared with ' + 'init=False, it cannot be specified with ' + 'replace()') + continue + + if f.name not in changes: if f._field_type is _FIELD_INITVAR and f.default is MISSING: - raise ValueError(f"InitVar {f.name!r} " - 'must be specified with replace()') - 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. - return obj.__class__(**changes) + raise ValueError(f"InitVar {f.name!r} " + 'must be specified with replace()') + 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. + return obj.__class__(**changes) |