Initial commit

venv/lib/python3.8/site-packages/astroid/brain/brain_argparse.py

@@ -0,0 +1,33 @@
+from astroid import MANAGER, arguments, nodes, inference_tip, UseInferenceDefault
+
+
+def infer_namespace(node, context=None):
+    callsite = arguments.CallSite.from_call(node, context=context)
+    if not callsite.keyword_arguments:
+        # Cannot make sense of it.
+        raise UseInferenceDefault()
+
+    class_node = nodes.ClassDef("Namespace", "docstring")
+    class_node.parent = node.parent
+    for attr in set(callsite.keyword_arguments):
+        fake_node = nodes.EmptyNode()
+        fake_node.parent = class_node
+        fake_node.attrname = attr
+        class_node.instance_attrs[attr] = [fake_node]
+    return iter((class_node.instantiate_class(),))
+
+
+def _looks_like_namespace(node):
+    func = node.func
+    if isinstance(func, nodes.Attribute):
+        return (
+            func.attrname == "Namespace"
+            and isinstance(func.expr, nodes.Name)
+            and func.expr.name == "argparse"
+        )
+    return False
+
+
+MANAGER.register_transform(
+    nodes.Call, inference_tip(infer_namespace), _looks_like_namespace
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_attrs.py

@@ -0,0 +1,65 @@
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+"""
+Astroid hook for the attrs library
+
+Without this hook pylint reports unsupported-assignment-operation
+for attrs classes
+"""
+
+import astroid
+from astroid import MANAGER
+
+
+ATTRIB_NAMES = frozenset(("attr.ib", "attrib", "attr.attrib"))
+ATTRS_NAMES = frozenset(("attr.s", "attrs", "attr.attrs", "attr.attributes"))
+
+
+def is_decorated_with_attrs(node, decorator_names=ATTRS_NAMES):
+    """Return True if a decorated node has
+    an attr decorator applied."""
+    if not node.decorators:
+        return False
+    for decorator_attribute in node.decorators.nodes:
+        if isinstance(decorator_attribute, astroid.Call):  # decorator with arguments
+            decorator_attribute = decorator_attribute.func
+        if decorator_attribute.as_string() in decorator_names:
+            return True
+    return False
+
+
+def attr_attributes_transform(node):
+    """Given that the ClassNode has an attr decorator,
+    rewrite class attributes as instance attributes
+    """
+    # Astroid can't infer this attribute properly
+    # Prevents https://github.com/PyCQA/pylint/issues/1884
+    node.locals["__attrs_attrs__"] = [astroid.Unknown(parent=node)]
+
+    for cdefbodynode in node.body:
+        if not isinstance(cdefbodynode, (astroid.Assign, astroid.AnnAssign)):
+            continue
+        if isinstance(cdefbodynode.value, astroid.Call):
+            if cdefbodynode.value.func.as_string() not in ATTRIB_NAMES:
+                continue
+        else:
+            continue
+        targets = (
+            cdefbodynode.targets
+            if hasattr(cdefbodynode, "targets")
+            else [cdefbodynode.target]
+        )
+        for target in targets:
+
+            rhs_node = astroid.Unknown(
+                lineno=cdefbodynode.lineno,
+                col_offset=cdefbodynode.col_offset,
+                parent=cdefbodynode,
+            )
+            node.locals[target.name] = [rhs_node]
+            node.instance_attrs[target.name] = [rhs_node]
+
+
+MANAGER.register_transform(
+    astroid.ClassDef, attr_attributes_transform, is_decorated_with_attrs
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_boto3.py

@@ -0,0 +1,28 @@
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+"""Astroid hooks for understanding boto3.ServiceRequest()"""
+import astroid
+from astroid import MANAGER, extract_node
+
+BOTO_SERVICE_FACTORY_QUALIFIED_NAME = "boto3.resources.base.ServiceResource"
+
+
+def service_request_transform(node):
+    """Transform ServiceResource to look like dynamic classes"""
+    code = """
+    def __getattr__(self, attr):
+        return 0
+    """
+    func_getattr = extract_node(code)
+    node.locals["__getattr__"] = [func_getattr]
+    return node
+
+
+def _looks_like_boto3_service_request(node):
+    return node.qname() == BOTO_SERVICE_FACTORY_QUALIFIED_NAME
+
+
+MANAGER.register_transform(
+    astroid.ClassDef, service_request_transform, _looks_like_boto3_service_request
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_builtin_inference.py

@@ -0,0 +1,873 @@
+# -*- coding: utf-8 -*-
+# Copyright (c) 2014-2020 Claudiu Popa <pcmanticore@gmail.com>
+# Copyright (c) 2014-2015 LOGILAB S.A. (Paris, FRANCE) <contact@logilab.fr>
+# Copyright (c) 2015-2016 Ceridwen <ceridwenv@gmail.com>
+# Copyright (c) 2015 Rene Zhang <rz99@cornell.edu>
+# Copyright (c) 2018 Bryce Guinta <bryce.paul.guinta@gmail.com>
+# Copyright (c) 2018 Ville Skyttä <ville.skytta@iki.fi>
+# Copyright (c) 2019 Stanislav Levin <slev@altlinux.org>
+# Copyright (c) 2019 David Liu <david@cs.toronto.edu>
+# Copyright (c) 2019 Bryce Guinta <bryce.guinta@protonmail.com>
+# Copyright (c) 2019 Frédéric Chapoton <fchapoton2@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+"""Astroid hooks for various builtins."""
+
+from functools import partial
+from textwrap import dedent
+
+import six
+from astroid import (
+    MANAGER,
+    UseInferenceDefault,
+    AttributeInferenceError,
+    inference_tip,
+    InferenceError,
+    NameInferenceError,
+    AstroidTypeError,
+    MroError,
+)
+from astroid import arguments
+from astroid.builder import AstroidBuilder
+from astroid import helpers
+from astroid import nodes
+from astroid import objects
+from astroid import scoped_nodes
+from astroid import util
+
+
+OBJECT_DUNDER_NEW = "object.__new__"
+
+
+def _extend_str(class_node, rvalue):
+    """function to extend builtin str/unicode class"""
+    code = dedent(
+        """
+    class whatever(object):
+        def join(self, iterable):
+            return {rvalue}
+        def replace(self, old, new, count=None):
+            return {rvalue}
+        def format(self, *args, **kwargs):
+            return {rvalue}
+        def encode(self, encoding='ascii', errors=None):
+            return ''
+        def decode(self, encoding='ascii', errors=None):
+            return u''
+        def capitalize(self):
+            return {rvalue}
+        def title(self):
+            return {rvalue}
+        def lower(self):
+            return {rvalue}
+        def upper(self):
+            return {rvalue}
+        def swapcase(self):
+            return {rvalue}
+        def index(self, sub, start=None, end=None):
+            return 0
+        def find(self, sub, start=None, end=None):
+            return 0
+        def count(self, sub, start=None, end=None):
+            return 0
+        def strip(self, chars=None):
+            return {rvalue}
+        def lstrip(self, chars=None):
+            return {rvalue}
+        def rstrip(self, chars=None):
+            return {rvalue}
+        def rjust(self, width, fillchar=None):
+            return {rvalue}
+        def center(self, width, fillchar=None):
+            return {rvalue}
+        def ljust(self, width, fillchar=None):
+            return {rvalue}
+    """
+    )
+    code = code.format(rvalue=rvalue)
+    fake = AstroidBuilder(MANAGER).string_build(code)["whatever"]
+    for method in fake.mymethods():
+        method.parent = class_node
+        method.lineno = None
+        method.col_offset = None
+        if "__class__" in method.locals:
+            method.locals["__class__"] = [class_node]
+        class_node.locals[method.name] = [method]
+        method.parent = class_node
+
+
+def _extend_builtins(class_transforms):
+    builtin_ast = MANAGER.builtins_module
+    for class_name, transform in class_transforms.items():
+        transform(builtin_ast[class_name])
+
+
+_extend_builtins(
+    {
+        "bytes": partial(_extend_str, rvalue="b''"),
+        "str": partial(_extend_str, rvalue="''"),
+    }
+)
+
+
+def _builtin_filter_predicate(node, builtin_name):
+    if isinstance(node.func, nodes.Name) and node.func.name == builtin_name:
+        return True
+    if isinstance(node.func, nodes.Attribute):
+        return (
+            node.func.attrname == "fromkeys"
+            and isinstance(node.func.expr, nodes.Name)
+            and node.func.expr.name == "dict"
+        )
+    return False
+
+
+def register_builtin_transform(transform, builtin_name):
+    """Register a new transform function for the given *builtin_name*.
+
+    The transform function must accept two parameters, a node and
+    an optional context.
+    """
+
+    def _transform_wrapper(node, context=None):
+        result = transform(node, context=context)
+        if result:
+            if not result.parent:
+                # Let the transformation function determine
+                # the parent for its result. Otherwise,
+                # we set it to be the node we transformed from.
+                result.parent = node
+
+            if result.lineno is None:
+                result.lineno = node.lineno
+            if result.col_offset is None:
+                result.col_offset = node.col_offset
+        return iter([result])
+
+    MANAGER.register_transform(
+        nodes.Call,
+        inference_tip(_transform_wrapper),
+        partial(_builtin_filter_predicate, builtin_name=builtin_name),
+    )
+
+
+def _container_generic_inference(node, context, node_type, transform):
+    args = node.args
+    if not args:
+        return node_type()
+    if len(node.args) > 1:
+        raise UseInferenceDefault()
+
+    (arg,) = args
+    transformed = transform(arg)
+    if not transformed:
+        try:
+            inferred = next(arg.infer(context=context))
+        except (InferenceError, StopIteration):
+            raise UseInferenceDefault()
+        if inferred is util.Uninferable:
+            raise UseInferenceDefault()
+        transformed = transform(inferred)
+    if not transformed or transformed is util.Uninferable:
+        raise UseInferenceDefault()
+    return transformed
+
+
+def _container_generic_transform(arg, context, klass, iterables, build_elts):
+    if isinstance(arg, klass):
+        return arg
+    elif isinstance(arg, iterables):
+        if all(isinstance(elt, nodes.Const) for elt in arg.elts):
+            elts = [elt.value for elt in arg.elts]
+        else:
+            # TODO: Does not handle deduplication for sets.
+            elts = []
+            for element in arg.elts:
+                inferred = helpers.safe_infer(element, context=context)
+                if inferred:
+                    evaluated_object = nodes.EvaluatedObject(
+                        original=element, value=inferred
+                    )
+                    elts.append(evaluated_object)
+    elif isinstance(arg, nodes.Dict):
+        # Dicts need to have consts as strings already.
+        if not all(isinstance(elt[0], nodes.Const) for elt in arg.items):
+            raise UseInferenceDefault()
+        elts = [item[0].value for item in arg.items]
+    elif isinstance(arg, nodes.Const) and isinstance(
+        arg.value, (six.string_types, six.binary_type)
+    ):
+        elts = arg.value
+    else:
+        return
+    return klass.from_elements(elts=build_elts(elts))
+
+
+def _infer_builtin_container(
+    node, context, klass=None, iterables=None, build_elts=None
+):
+    transform_func = partial(
+        _container_generic_transform,
+        context=context,
+        klass=klass,
+        iterables=iterables,
+        build_elts=build_elts,
+    )
+
+    return _container_generic_inference(node, context, klass, transform_func)
+
+
+# pylint: disable=invalid-name
+infer_tuple = partial(
+    _infer_builtin_container,
+    klass=nodes.Tuple,
+    iterables=(
+        nodes.List,
+        nodes.Set,
+        objects.FrozenSet,
+        objects.DictItems,
+        objects.DictKeys,
+        objects.DictValues,
+    ),
+    build_elts=tuple,
+)
+
+infer_list = partial(
+    _infer_builtin_container,
+    klass=nodes.List,
+    iterables=(
+        nodes.Tuple,
+        nodes.Set,
+        objects.FrozenSet,
+        objects.DictItems,
+        objects.DictKeys,
+        objects.DictValues,
+    ),
+    build_elts=list,
+)
+
+infer_set = partial(
+    _infer_builtin_container,
+    klass=nodes.Set,
+    iterables=(nodes.List, nodes.Tuple, objects.FrozenSet, objects.DictKeys),
+    build_elts=set,
+)
+
+infer_frozenset = partial(
+    _infer_builtin_container,
+    klass=objects.FrozenSet,
+    iterables=(nodes.List, nodes.Tuple, nodes.Set, objects.FrozenSet, objects.DictKeys),
+    build_elts=frozenset,
+)
+
+
+def _get_elts(arg, context):
+    is_iterable = lambda n: isinstance(n, (nodes.List, nodes.Tuple, nodes.Set))
+    try:
+        inferred = next(arg.infer(context))
+    except (InferenceError, NameInferenceError):
+        raise UseInferenceDefault()
+    if isinstance(inferred, nodes.Dict):
+        items = inferred.items
+    elif is_iterable(inferred):
+        items = []
+        for elt in inferred.elts:
+            # If an item is not a pair of two items,
+            # then fallback to the default inference.
+            # Also, take in consideration only hashable items,
+            # tuples and consts. We are choosing Names as well.
+            if not is_iterable(elt):
+                raise UseInferenceDefault()
+            if len(elt.elts) != 2:
+                raise UseInferenceDefault()
+            if not isinstance(elt.elts[0], (nodes.Tuple, nodes.Const, nodes.Name)):
+                raise UseInferenceDefault()
+            items.append(tuple(elt.elts))
+    else:
+        raise UseInferenceDefault()
+    return items
+
+
+def infer_dict(node, context=None):
+    """Try to infer a dict call to a Dict node.
+
+    The function treats the following cases:
+
+        * dict()
+        * dict(mapping)
+        * dict(iterable)
+        * dict(iterable, **kwargs)
+        * dict(mapping, **kwargs)
+        * dict(**kwargs)
+
+    If a case can't be inferred, we'll fallback to default inference.
+    """
+    call = arguments.CallSite.from_call(node, context=context)
+    if call.has_invalid_arguments() or call.has_invalid_keywords():
+        raise UseInferenceDefault
+
+    args = call.positional_arguments
+    kwargs = list(call.keyword_arguments.items())
+
+    if not args and not kwargs:
+        # dict()
+        return nodes.Dict()
+    elif kwargs and not args:
+        # dict(a=1, b=2, c=4)
+        items = [(nodes.Const(key), value) for key, value in kwargs]
+    elif len(args) == 1 and kwargs:
+        # dict(some_iterable, b=2, c=4)
+        elts = _get_elts(args[0], context)
+        keys = [(nodes.Const(key), value) for key, value in kwargs]
+        items = elts + keys
+    elif len(args) == 1:
+        items = _get_elts(args[0], context)
+    else:
+        raise UseInferenceDefault()
+
+    value = nodes.Dict(
+        col_offset=node.col_offset, lineno=node.lineno, parent=node.parent
+    )
+    value.postinit(items)
+    return value
+
+
+def infer_super(node, context=None):
+    """Understand super calls.
+
+    There are some restrictions for what can be understood:
+
+        * unbounded super (one argument form) is not understood.
+
+        * if the super call is not inside a function (classmethod or method),
+          then the default inference will be used.
+
+        * if the super arguments can't be inferred, the default inference
+          will be used.
+    """
+    if len(node.args) == 1:
+        # Ignore unbounded super.
+        raise UseInferenceDefault
+
+    scope = node.scope()
+    if not isinstance(scope, nodes.FunctionDef):
+        # Ignore non-method uses of super.
+        raise UseInferenceDefault
+    if scope.type not in ("classmethod", "method"):
+        # Not interested in staticmethods.
+        raise UseInferenceDefault
+
+    cls = scoped_nodes.get_wrapping_class(scope)
+    if not len(node.args):
+        mro_pointer = cls
+        # In we are in a classmethod, the interpreter will fill
+        # automatically the class as the second argument, not an instance.
+        if scope.type == "classmethod":
+            mro_type = cls
+        else:
+            mro_type = cls.instantiate_class()
+    else:
+        try:
+            mro_pointer = next(node.args[0].infer(context=context))
+        except InferenceError:
+            raise UseInferenceDefault
+        try:
+            mro_type = next(node.args[1].infer(context=context))
+        except InferenceError:
+            raise UseInferenceDefault
+
+    if mro_pointer is util.Uninferable or mro_type is util.Uninferable:
+        # No way we could understand this.
+        raise UseInferenceDefault
+
+    super_obj = objects.Super(
+        mro_pointer=mro_pointer, mro_type=mro_type, self_class=cls, scope=scope
+    )
+    super_obj.parent = node
+    return super_obj
+
+
+def _infer_getattr_args(node, context):
+    if len(node.args) not in (2, 3):
+        # Not a valid getattr call.
+        raise UseInferenceDefault
+
+    try:
+        obj = next(node.args[0].infer(context=context))
+        attr = next(node.args[1].infer(context=context))
+    except InferenceError:
+        raise UseInferenceDefault
+
+    if obj is util.Uninferable or attr is util.Uninferable:
+        # If one of the arguments is something we can't infer,
+        # then also make the result of the getattr call something
+        # which is unknown.
+        return util.Uninferable, util.Uninferable
+
+    is_string = isinstance(attr, nodes.Const) and isinstance(
+        attr.value, six.string_types
+    )
+    if not is_string:
+        raise UseInferenceDefault
+
+    return obj, attr.value
+
+
+def infer_getattr(node, context=None):
+    """Understand getattr calls
+
+    If one of the arguments is an Uninferable object, then the
+    result will be an Uninferable object. Otherwise, the normal attribute
+    lookup will be done.
+    """
+    obj, attr = _infer_getattr_args(node, context)
+    if (
+        obj is util.Uninferable
+        or attr is util.Uninferable
+        or not hasattr(obj, "igetattr")
+    ):
+        return util.Uninferable
+
+    try:
+        return next(obj.igetattr(attr, context=context))
+    except (StopIteration, InferenceError, AttributeInferenceError):
+        if len(node.args) == 3:
+            # Try to infer the default and return it instead.
+            try:
+                return next(node.args[2].infer(context=context))
+            except InferenceError:
+                raise UseInferenceDefault
+
+    raise UseInferenceDefault
+
+
+def infer_hasattr(node, context=None):
+    """Understand hasattr calls
+
+    This always guarantees three possible outcomes for calling
+    hasattr: Const(False) when we are sure that the object
+    doesn't have the intended attribute, Const(True) when
+    we know that the object has the attribute and Uninferable
+    when we are unsure of the outcome of the function call.
+    """
+    try:
+        obj, attr = _infer_getattr_args(node, context)
+        if (
+            obj is util.Uninferable
+            or attr is util.Uninferable
+            or not hasattr(obj, "getattr")
+        ):
+            return util.Uninferable
+        obj.getattr(attr, context=context)
+    except UseInferenceDefault:
+        # Can't infer something from this function call.
+        return util.Uninferable
+    except AttributeInferenceError:
+        # Doesn't have it.
+        return nodes.Const(False)
+    return nodes.Const(True)
+
+
+def infer_callable(node, context=None):
+    """Understand callable calls
+
+    This follows Python's semantics, where an object
+    is callable if it provides an attribute __call__,
+    even though that attribute is something which can't be
+    called.
+    """
+    if len(node.args) != 1:
+        # Invalid callable call.
+        raise UseInferenceDefault
+
+    argument = node.args[0]
+    try:
+        inferred = next(argument.infer(context=context))
+    except InferenceError:
+        return util.Uninferable
+    if inferred is util.Uninferable:
+        return util.Uninferable
+    return nodes.Const(inferred.callable())
+
+
+def infer_property(node, context=None):
+    """Understand `property` class
+
+    This only infers the output of `property`
+    call, not the arguments themselves.
+    """
+    if len(node.args) < 1:
+        # Invalid property call.
+        raise UseInferenceDefault
+
+    getter = node.args[0]
+    try:
+        inferred = next(getter.infer(context=context))
+    except InferenceError:
+        raise UseInferenceDefault
+
+    if not isinstance(inferred, (nodes.FunctionDef, nodes.Lambda)):
+        raise UseInferenceDefault
+
+    return objects.Property(
+        function=inferred,
+        name=inferred.name,
+        doc=getattr(inferred, "doc", None),
+        lineno=node.lineno,
+        parent=node,
+        col_offset=node.col_offset,
+    )
+
+
+def infer_bool(node, context=None):
+    """Understand bool calls."""
+    if len(node.args) > 1:
+        # Invalid bool call.
+        raise UseInferenceDefault
+
+    if not node.args:
+        return nodes.Const(False)
+
+    argument = node.args[0]
+    try:
+        inferred = next(argument.infer(context=context))
+    except InferenceError:
+        return util.Uninferable
+    if inferred is util.Uninferable:
+        return util.Uninferable
+
+    bool_value = inferred.bool_value(context=context)
+    if bool_value is util.Uninferable:
+        return util.Uninferable
+    return nodes.Const(bool_value)
+
+
+def infer_type(node, context=None):
+    """Understand the one-argument form of *type*."""
+    if len(node.args) != 1:
+        raise UseInferenceDefault
+
+    return helpers.object_type(node.args[0], context)
+
+
+def infer_slice(node, context=None):
+    """Understand `slice` calls."""
+    args = node.args
+    if not 0 < len(args) <= 3:
+        raise UseInferenceDefault
+
+    infer_func = partial(helpers.safe_infer, context=context)
+    args = [infer_func(arg) for arg in args]
+    for arg in args:
+        if not arg or arg is util.Uninferable:
+            raise UseInferenceDefault
+        if not isinstance(arg, nodes.Const):
+            raise UseInferenceDefault
+        if not isinstance(arg.value, (type(None), int)):
+            raise UseInferenceDefault
+
+    if len(args) < 3:
+        # Make sure we have 3 arguments.
+        args.extend([None] * (3 - len(args)))
+
+    slice_node = nodes.Slice(
+        lineno=node.lineno, col_offset=node.col_offset, parent=node.parent
+    )
+    slice_node.postinit(*args)
+    return slice_node
+
+
+def _infer_object__new__decorator(node, context=None):
+    # Instantiate class immediately
+    # since that's what @object.__new__ does
+    return iter((node.instantiate_class(),))
+
+
+def _infer_object__new__decorator_check(node):
+    """Predicate before inference_tip
+
+    Check if the given ClassDef has an @object.__new__ decorator
+    """
+    if not node.decorators:
+        return False
+
+    for decorator in node.decorators.nodes:
+        if isinstance(decorator, nodes.Attribute):
+            if decorator.as_string() == OBJECT_DUNDER_NEW:
+                return True
+    return False
+
+
+def infer_issubclass(callnode, context=None):
+    """Infer issubclass() calls
+
+    :param nodes.Call callnode: an `issubclass` call
+    :param InferenceContext: the context for the inference
+    :rtype nodes.Const: Boolean Const value of the `issubclass` call
+    :raises UseInferenceDefault: If the node cannot be inferred
+    """
+    call = arguments.CallSite.from_call(callnode, context=context)
+    if call.keyword_arguments:
+        # issubclass doesn't support keyword arguments
+        raise UseInferenceDefault("TypeError: issubclass() takes no keyword arguments")
+    if len(call.positional_arguments) != 2:
+        raise UseInferenceDefault(
+            "Expected two arguments, got {count}".format(
+                count=len(call.positional_arguments)
+            )
+        )
+    # The left hand argument is the obj to be checked
+    obj_node, class_or_tuple_node = call.positional_arguments
+
+    try:
+        obj_type = next(obj_node.infer(context=context))
+    except InferenceError as exc:
+        raise UseInferenceDefault from exc
+    if not isinstance(obj_type, nodes.ClassDef):
+        raise UseInferenceDefault("TypeError: arg 1 must be class")
+
+    # The right hand argument is the class(es) that the given
+    # object is to be checked against.
+    try:
+        class_container = _class_or_tuple_to_container(
+            class_or_tuple_node, context=context
+        )
+    except InferenceError as exc:
+        raise UseInferenceDefault from exc
+    try:
+        issubclass_bool = helpers.object_issubclass(obj_type, class_container, context)
+    except AstroidTypeError as exc:
+        raise UseInferenceDefault("TypeError: " + str(exc)) from exc
+    except MroError as exc:
+        raise UseInferenceDefault from exc
+    return nodes.Const(issubclass_bool)
+
+
+def infer_isinstance(callnode, context=None):
+    """Infer isinstance calls
+
+    :param nodes.Call callnode: an isinstance call
+    :param InferenceContext: context for call
+        (currently unused but is a common interface for inference)
+    :rtype nodes.Const: Boolean Const value of isinstance call
+
+    :raises UseInferenceDefault: If the node cannot be inferred
+    """
+    call = arguments.CallSite.from_call(callnode, context=context)
+    if call.keyword_arguments:
+        # isinstance doesn't support keyword arguments
+        raise UseInferenceDefault("TypeError: isinstance() takes no keyword arguments")
+    if len(call.positional_arguments) != 2:
+        raise UseInferenceDefault(
+            "Expected two arguments, got {count}".format(
+                count=len(call.positional_arguments)
+            )
+        )
+    # The left hand argument is the obj to be checked
+    obj_node, class_or_tuple_node = call.positional_arguments
+    # The right hand argument is the class(es) that the given
+    # obj is to be check is an instance of
+    try:
+        class_container = _class_or_tuple_to_container(
+            class_or_tuple_node, context=context
+        )
+    except InferenceError:
+        raise UseInferenceDefault
+    try:
+        isinstance_bool = helpers.object_isinstance(obj_node, class_container, context)
+    except AstroidTypeError as exc:
+        raise UseInferenceDefault("TypeError: " + str(exc))
+    except MroError as exc:
+        raise UseInferenceDefault from exc
+    if isinstance_bool is util.Uninferable:
+        raise UseInferenceDefault
+    return nodes.Const(isinstance_bool)
+
+
+def _class_or_tuple_to_container(node, context=None):
+    # Move inferences results into container
+    # to simplify later logic
+    # raises InferenceError if any of the inferences fall through
+    node_infer = next(node.infer(context=context))
+    # arg2 MUST be a type or a TUPLE of types
+    # for isinstance
+    if isinstance(node_infer, nodes.Tuple):
+        class_container = [
+            next(node.infer(context=context)) for node in node_infer.elts
+        ]
+        class_container = [
+            klass_node for klass_node in class_container if klass_node is not None
+        ]
+    else:
+        class_container = [node_infer]
+    return class_container
+
+
+def infer_len(node, context=None):
+    """Infer length calls
+
+    :param nodes.Call node: len call to infer
+    :param context.InferenceContext: node context
+    :rtype nodes.Const: a Const node with the inferred length, if possible
+    """
+    call = arguments.CallSite.from_call(node, context=context)
+    if call.keyword_arguments:
+        raise UseInferenceDefault("TypeError: len() must take no keyword arguments")
+    if len(call.positional_arguments) != 1:
+        raise UseInferenceDefault(
+            "TypeError: len() must take exactly one argument "
+            "({len}) given".format(len=len(call.positional_arguments))
+        )
+    [argument_node] = call.positional_arguments
+    try:
+        return nodes.Const(helpers.object_len(argument_node, context=context))
+    except (AstroidTypeError, InferenceError) as exc:
+        raise UseInferenceDefault(str(exc)) from exc
+
+
+def infer_str(node, context=None):
+    """Infer str() calls
+
+    :param nodes.Call node: str() call to infer
+    :param context.InferenceContext: node context
+    :rtype nodes.Const: a Const containing an empty string
+    """
+    call = arguments.CallSite.from_call(node, context=context)
+    if call.keyword_arguments:
+        raise UseInferenceDefault("TypeError: str() must take no keyword arguments")
+    try:
+        return nodes.Const("")
+    except (AstroidTypeError, InferenceError) as exc:
+        raise UseInferenceDefault(str(exc)) from exc
+
+
+def infer_int(node, context=None):
+    """Infer int() calls
+
+    :param nodes.Call node: int() call to infer
+    :param context.InferenceContext: node context
+    :rtype nodes.Const: a Const containing the integer value of the int() call
+    """
+    call = arguments.CallSite.from_call(node, context=context)
+    if call.keyword_arguments:
+        raise UseInferenceDefault("TypeError: int() must take no keyword arguments")
+
+    if call.positional_arguments:
+        try:
+            first_value = next(call.positional_arguments[0].infer(context=context))
+        except (InferenceError, StopIteration) as exc:
+            raise UseInferenceDefault(str(exc)) from exc
+
+        if first_value is util.Uninferable:
+            raise UseInferenceDefault
+
+        if isinstance(first_value, nodes.Const) and isinstance(
+            first_value.value, (int, str)
+        ):
+            try:
+                actual_value = int(first_value.value)
+            except ValueError:
+                return nodes.Const(0)
+            return nodes.Const(actual_value)
+
+    return nodes.Const(0)
+
+
+def infer_dict_fromkeys(node, context=None):
+    """Infer dict.fromkeys
+
+    :param nodes.Call node: dict.fromkeys() call to infer
+    :param context.InferenceContext: node context
+    :rtype nodes.Dict:
+        a Dictionary containing the values that astroid was able to infer.
+        In case the inference failed for any reason, an empty dictionary
+        will be inferred instead.
+    """
+
+    def _build_dict_with_elements(elements):
+        new_node = nodes.Dict(
+            col_offset=node.col_offset, lineno=node.lineno, parent=node.parent
+        )
+        new_node.postinit(elements)
+        return new_node
+
+    call = arguments.CallSite.from_call(node, context=context)
+    if call.keyword_arguments:
+        raise UseInferenceDefault("TypeError: int() must take no keyword arguments")
+    if len(call.positional_arguments) not in {1, 2}:
+        raise UseInferenceDefault(
+            "TypeError: Needs between 1 and 2 positional arguments"
+        )
+
+    default = nodes.Const(None)
+    values = call.positional_arguments[0]
+    try:
+        inferred_values = next(values.infer(context=context))
+    except InferenceError:
+        return _build_dict_with_elements([])
+    if inferred_values is util.Uninferable:
+        return _build_dict_with_elements([])
+
+    # Limit to a couple of potential values, as this can become pretty complicated
+    accepted_iterable_elements = (nodes.Const,)
+    if isinstance(inferred_values, (nodes.List, nodes.Set, nodes.Tuple)):
+        elements = inferred_values.elts
+        for element in elements:
+            if not isinstance(element, accepted_iterable_elements):
+                # Fallback to an empty dict
+                return _build_dict_with_elements([])
+
+        elements_with_value = [(element, default) for element in elements]
+        return _build_dict_with_elements(elements_with_value)
+
+    elif isinstance(inferred_values, nodes.Const) and isinstance(
+        inferred_values.value, (str, bytes)
+    ):
+        elements = [
+            (nodes.Const(element), default) for element in inferred_values.value
+        ]
+        return _build_dict_with_elements(elements)
+    elif isinstance(inferred_values, nodes.Dict):
+        keys = inferred_values.itered()
+        for key in keys:
+            if not isinstance(key, accepted_iterable_elements):
+                # Fallback to an empty dict
+                return _build_dict_with_elements([])
+
+        elements_with_value = [(element, default) for element in keys]
+        return _build_dict_with_elements(elements_with_value)
+
+    # Fallback to an empty dictionary
+    return _build_dict_with_elements([])
+
+
+# Builtins inference
+register_builtin_transform(infer_bool, "bool")
+register_builtin_transform(infer_super, "super")
+register_builtin_transform(infer_callable, "callable")
+register_builtin_transform(infer_property, "property")
+register_builtin_transform(infer_getattr, "getattr")
+register_builtin_transform(infer_hasattr, "hasattr")
+register_builtin_transform(infer_tuple, "tuple")
+register_builtin_transform(infer_set, "set")
+register_builtin_transform(infer_list, "list")
+register_builtin_transform(infer_dict, "dict")
+register_builtin_transform(infer_frozenset, "frozenset")
+register_builtin_transform(infer_type, "type")
+register_builtin_transform(infer_slice, "slice")
+register_builtin_transform(infer_isinstance, "isinstance")
+register_builtin_transform(infer_issubclass, "issubclass")
+register_builtin_transform(infer_len, "len")
+register_builtin_transform(infer_str, "str")
+register_builtin_transform(infer_int, "int")
+register_builtin_transform(infer_dict_fromkeys, "dict.fromkeys")
+
+
+# Infer object.__new__ calls
+MANAGER.register_transform(
+    nodes.ClassDef,
+    inference_tip(_infer_object__new__decorator),
+    _infer_object__new__decorator_check,
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_collections.py

@@ -0,0 +1,75 @@
+# -*- coding: utf-8 -*-
+# Copyright (c) 2016, 2018 Claudiu Popa <pcmanticore@gmail.com>
+# Copyright (c) 2016-2017 Łukasz Rogalski <rogalski.91@gmail.com>
+# Copyright (c) 2017 Derek Gustafson <degustaf@gmail.com>
+# Copyright (c) 2018 Ioana Tagirta <ioana.tagirta@gmail.com>
+# Copyright (c) 2019 Hugo van Kemenade <hugovk@users.noreply.github.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+import sys
+
+import astroid
+
+
+def _collections_transform():
+    return astroid.parse(
+        """
+    class defaultdict(dict):
+        default_factory = None
+        def __missing__(self, key): pass
+        def __getitem__(self, key): return default_factory
+
+    """
+        + _deque_mock()
+        + _ordered_dict_mock()
+    )
+
+
+def _deque_mock():
+    base_deque_class = """
+    class deque(object):
+        maxlen = 0
+        def __init__(self, iterable=None, maxlen=None):
+            self.iterable = iterable or []
+        def append(self, x): pass
+        def appendleft(self, x): pass
+        def clear(self): pass
+        def count(self, x): return 0
+        def extend(self, iterable): pass
+        def extendleft(self, iterable): pass
+        def pop(self): return self.iterable[0]
+        def popleft(self): return self.iterable[0]
+        def remove(self, value): pass
+        def reverse(self): return reversed(self.iterable)
+        def rotate(self, n=1): return self
+        def __iter__(self): return self
+        def __reversed__(self): return self.iterable[::-1]
+        def __getitem__(self, index): return self.iterable[index]
+        def __setitem__(self, index, value): pass
+        def __delitem__(self, index): pass
+        def __bool__(self): return bool(self.iterable)
+        def __nonzero__(self): return bool(self.iterable)
+        def __contains__(self, o): return o in self.iterable
+        def __len__(self): return len(self.iterable)
+        def __copy__(self): return deque(self.iterable)
+        def copy(self): return deque(self.iterable)
+        def index(self, x, start=0, end=0): return 0
+        def insert(self, x, i): pass
+        def __add__(self, other): pass
+        def __iadd__(self, other): pass
+        def __mul__(self, other): pass
+        def __imul__(self, other): pass
+        def __rmul__(self, other): pass"""
+    return base_deque_class
+
+
+def _ordered_dict_mock():
+    base_ordered_dict_class = """
+    class OrderedDict(dict):
+        def __reversed__(self): return self[::-1]
+        def move_to_end(self, key, last=False): pass"""
+    return base_ordered_dict_class
+
+
+astroid.register_module_extender(astroid.MANAGER, "collections", _collections_transform)

venv/lib/python3.8/site-packages/astroid/brain/brain_crypt.py

@@ -0,0 +1,26 @@
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+import sys
+import astroid
+
+PY37 = sys.version_info >= (3, 7)
+
+if PY37:
+    # Since Python 3.7 Hashing Methods are added
+    # dynamically to globals()
+
+    def _re_transform():
+        return astroid.parse(
+            """
+        from collections import namedtuple
+        _Method = namedtuple('_Method', 'name ident salt_chars total_size')
+
+        METHOD_SHA512 = _Method('SHA512', '6', 16, 106)
+        METHOD_SHA256 = _Method('SHA256', '5', 16, 63)
+        METHOD_BLOWFISH = _Method('BLOWFISH', 2, 'b', 22)
+        METHOD_MD5 = _Method('MD5', '1', 8, 34)
+        METHOD_CRYPT = _Method('CRYPT', None, 2, 13)
+        """
+        )
+
+    astroid.register_module_extender(astroid.MANAGER, "crypt", _re_transform)

venv/lib/python3.8/site-packages/astroid/brain/brain_curses.py

@@ -0,0 +1,179 @@
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+import astroid
+
+
+def _curses_transform():
+    return astroid.parse(
+        """
+    A_ALTCHARSET = 1
+    A_BLINK = 1
+    A_BOLD = 1
+    A_DIM = 1
+    A_INVIS = 1
+    A_ITALIC = 1
+    A_NORMAL = 1
+    A_PROTECT = 1
+    A_REVERSE = 1
+    A_STANDOUT = 1
+    A_UNDERLINE = 1
+    A_HORIZONTAL = 1
+    A_LEFT = 1
+    A_LOW = 1
+    A_RIGHT = 1
+    A_TOP = 1
+    A_VERTICAL = 1
+    A_CHARTEXT = 1
+    A_ATTRIBUTES = 1
+    A_CHARTEXT = 1
+    A_COLOR = 1
+    KEY_MIN = 1
+    KEY_BREAK = 1
+    KEY_DOWN = 1
+    KEY_UP = 1
+    KEY_LEFT = 1
+    KEY_RIGHT = 1
+    KEY_HOME = 1
+    KEY_BACKSPACE = 1
+    KEY_F0 = 1
+    KEY_Fn = 1
+    KEY_DL = 1
+    KEY_IL = 1
+    KEY_DC = 1
+    KEY_IC = 1
+    KEY_EIC = 1
+    KEY_CLEAR = 1
+    KEY_EOS = 1
+    KEY_EOL = 1
+    KEY_SF = 1
+    KEY_SR = 1
+    KEY_NPAGE = 1
+    KEY_PPAGE = 1
+    KEY_STAB = 1
+    KEY_CTAB = 1
+    KEY_CATAB = 1
+    KEY_ENTER = 1
+    KEY_SRESET = 1
+    KEY_RESET = 1
+    KEY_PRINT = 1
+    KEY_LL = 1
+    KEY_A1 = 1
+    KEY_A3 = 1
+    KEY_B2 = 1
+    KEY_C1 = 1
+    KEY_C3 = 1
+    KEY_BTAB = 1
+    KEY_BEG = 1
+    KEY_CANCEL = 1
+    KEY_CLOSE = 1
+    KEY_COMMAND = 1
+    KEY_COPY = 1
+    KEY_CREATE = 1
+    KEY_END = 1
+    KEY_EXIT = 1
+    KEY_FIND = 1
+    KEY_HELP = 1
+    KEY_MARK = 1
+    KEY_MESSAGE = 1
+    KEY_MOVE = 1
+    KEY_NEXT = 1
+    KEY_OPEN = 1
+    KEY_OPTIONS = 1
+    KEY_PREVIOUS = 1
+    KEY_REDO = 1
+    KEY_REFERENCE = 1
+    KEY_REFRESH = 1
+    KEY_REPLACE = 1
+    KEY_RESTART = 1
+    KEY_RESUME = 1
+    KEY_SAVE = 1
+    KEY_SBEG = 1
+    KEY_SCANCEL = 1
+    KEY_SCOMMAND = 1
+    KEY_SCOPY = 1
+    KEY_SCREATE = 1
+    KEY_SDC = 1
+    KEY_SDL = 1
+    KEY_SELECT = 1
+    KEY_SEND = 1
+    KEY_SEOL = 1
+    KEY_SEXIT = 1
+    KEY_SFIND = 1
+    KEY_SHELP = 1
+    KEY_SHOME = 1
+    KEY_SIC = 1
+    KEY_SLEFT = 1
+    KEY_SMESSAGE = 1
+    KEY_SMOVE = 1
+    KEY_SNEXT = 1
+    KEY_SOPTIONS = 1
+    KEY_SPREVIOUS = 1
+    KEY_SPRINT = 1
+    KEY_SREDO = 1
+    KEY_SREPLACE = 1
+    KEY_SRIGHT = 1
+    KEY_SRSUME = 1
+    KEY_SSAVE = 1
+    KEY_SSUSPEND = 1
+    KEY_SUNDO = 1
+    KEY_SUSPEND = 1
+    KEY_UNDO = 1
+    KEY_MOUSE = 1
+    KEY_RESIZE = 1
+    KEY_MAX = 1
+    ACS_BBSS = 1
+    ACS_BLOCK = 1
+    ACS_BOARD = 1
+    ACS_BSBS = 1
+    ACS_BSSB = 1
+    ACS_BSSS = 1
+    ACS_BTEE = 1
+    ACS_BULLET = 1
+    ACS_CKBOARD = 1
+    ACS_DARROW = 1
+    ACS_DEGREE = 1
+    ACS_DIAMOND = 1
+    ACS_GEQUAL = 1
+    ACS_HLINE = 1
+    ACS_LANTERN = 1
+    ACS_LARROW = 1
+    ACS_LEQUAL = 1
+    ACS_LLCORNER = 1
+    ACS_LRCORNER = 1
+    ACS_LTEE = 1
+    ACS_NEQUAL = 1
+    ACS_PI = 1
+    ACS_PLMINUS = 1
+    ACS_PLUS = 1
+    ACS_RARROW = 1
+    ACS_RTEE = 1
+    ACS_S1 = 1
+    ACS_S3 = 1
+    ACS_S7 = 1
+    ACS_S9 = 1
+    ACS_SBBS = 1
+    ACS_SBSB = 1
+    ACS_SBSS = 1
+    ACS_SSBB = 1
+    ACS_SSBS = 1
+    ACS_SSSB = 1
+    ACS_SSSS = 1
+    ACS_STERLING = 1
+    ACS_TTEE = 1
+    ACS_UARROW = 1
+    ACS_ULCORNER = 1
+    ACS_URCORNER = 1
+    ACS_VLINE = 1
+    COLOR_BLACK = 1
+    COLOR_BLUE = 1
+    COLOR_CYAN = 1
+    COLOR_GREEN = 1
+    COLOR_MAGENTA = 1
+    COLOR_RED = 1
+    COLOR_WHITE = 1
+    COLOR_YELLOW = 1
+        """
+    )
+
+
+astroid.register_module_extender(astroid.MANAGER, "curses", _curses_transform)

venv/lib/python3.8/site-packages/astroid/brain/brain_dataclasses.py

@@ -0,0 +1,50 @@
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+"""
+Astroid hook for the dataclasses library
+"""
+
+import astroid
+from astroid import MANAGER
+
+
+DATACLASSES_DECORATORS = frozenset(("dataclasses.dataclass", "dataclass"))
+
+
+def is_decorated_with_dataclass(node, decorator_names=DATACLASSES_DECORATORS):
+    """Return True if a decorated node has a `dataclass` decorator applied."""
+    if not node.decorators:
+        return False
+    for decorator_attribute in node.decorators.nodes:
+        if isinstance(decorator_attribute, astroid.Call):  # decorator with arguments
+            decorator_attribute = decorator_attribute.func
+        if decorator_attribute.as_string() in decorator_names:
+            return True
+    return False
+
+
+def dataclass_transform(node):
+    """Rewrite a dataclass to be easily understood by pylint"""
+
+    for assign_node in node.body:
+        if not isinstance(assign_node, (astroid.AnnAssign, astroid.Assign)):
+            continue
+
+        targets = (
+            assign_node.targets
+            if hasattr(assign_node, "targets")
+            else [assign_node.target]
+        )
+        for target in targets:
+            rhs_node = astroid.Unknown(
+                lineno=assign_node.lineno,
+                col_offset=assign_node.col_offset,
+                parent=assign_node,
+            )
+            node.instance_attrs[target.name] = [rhs_node]
+            node.locals[target.name] = [rhs_node]
+
+
+MANAGER.register_transform(
+    astroid.ClassDef, dataclass_transform, is_decorated_with_dataclass
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_dateutil.py

@@ -0,0 +1,28 @@
+# Copyright (c) 2015-2016, 2018 Claudiu Popa <pcmanticore@gmail.com>
+# Copyright (c) 2015 raylu <lurayl@gmail.com>
+# Copyright (c) 2016 Ceridwen <ceridwenv@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+"""Astroid hooks for dateutil"""
+
+import textwrap
+
+from astroid import MANAGER, register_module_extender
+from astroid.builder import AstroidBuilder
+
+
+def dateutil_transform():
+    return AstroidBuilder(MANAGER).string_build(
+        textwrap.dedent(
+            """
+    import datetime
+    def parse(timestr, parserinfo=None, **kwargs):
+        return datetime.datetime()
+    """
+        )
+    )
+
+
+register_module_extender(MANAGER, "dateutil.parser", dateutil_transform)

venv/lib/python3.8/site-packages/astroid/brain/brain_fstrings.py

@@ -0,0 +1,51 @@
+# Copyright (c) 2017-2018 Claudiu Popa <pcmanticore@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+import collections
+import sys
+
+import astroid
+
+
+def _clone_node_with_lineno(node, parent, lineno):
+    cls = node.__class__
+    other_fields = node._other_fields
+    _astroid_fields = node._astroid_fields
+    init_params = {"lineno": lineno, "col_offset": node.col_offset, "parent": parent}
+    postinit_params = {param: getattr(node, param) for param in _astroid_fields}
+    if other_fields:
+        init_params.update({param: getattr(node, param) for param in other_fields})
+    new_node = cls(**init_params)
+    if hasattr(node, "postinit") and _astroid_fields:
+        for param, child in postinit_params.items():
+            if child and not isinstance(child, collections.Sequence):
+                cloned_child = _clone_node_with_lineno(
+                    node=child, lineno=new_node.lineno, parent=new_node
+                )
+                postinit_params[param] = cloned_child
+        new_node.postinit(**postinit_params)
+    return new_node
+
+
+def _transform_formatted_value(node):
+    if node.value and node.value.lineno == 1:
+        if node.lineno != node.value.lineno:
+            new_node = astroid.FormattedValue(
+                lineno=node.lineno, col_offset=node.col_offset, parent=node.parent
+            )
+            new_value = _clone_node_with_lineno(
+                node=node.value, lineno=node.lineno, parent=new_node
+            )
+            new_node.postinit(value=new_value, format_spec=node.format_spec)
+            return new_node
+
+
+if sys.version_info[:2] >= (3, 6):
+    # TODO: this fix tries to *patch* http://bugs.python.org/issue29051
+    # The problem is that FormattedValue.value, which is a Name node,
+    # has wrong line numbers, usually 1. This creates problems for pylint,
+    # which expects correct line numbers for things such as message control.
+    astroid.MANAGER.register_transform(
+        astroid.FormattedValue, _transform_formatted_value
+    )

venv/lib/python3.8/site-packages/astroid/brain/brain_functools.py

@@ -0,0 +1,159 @@
+# Copyright (c) 2016, 2018-2020 Claudiu Popa <pcmanticore@gmail.com>
+# Copyright (c) 2018 hippo91 <guillaume.peillex@gmail.com>
+# Copyright (c) 2018 Bryce Guinta <bryce.paul.guinta@gmail.com>
+
+"""Astroid hooks for understanding functools library module."""
+from functools import partial
+from itertools import chain
+
+import astroid
+from astroid import arguments
+from astroid import BoundMethod
+from astroid import extract_node
+from astroid import helpers
+from astroid.interpreter import objectmodel
+from astroid import MANAGER
+from astroid import objects
+
+
+LRU_CACHE = "functools.lru_cache"
+
+
+class LruWrappedModel(objectmodel.FunctionModel):
+    """Special attribute model for functions decorated with functools.lru_cache.
+
+    The said decorators patches at decoration time some functions onto
+    the decorated function.
+    """
+
+    @property
+    def attr___wrapped__(self):
+        return self._instance
+
+    @property
+    def attr_cache_info(self):
+        cache_info = extract_node(
+            """
+        from functools import _CacheInfo
+        _CacheInfo(0, 0, 0, 0)
+        """
+        )
+
+        class CacheInfoBoundMethod(BoundMethod):
+            def infer_call_result(self, caller, context=None):
+                yield helpers.safe_infer(cache_info)
+
+        return CacheInfoBoundMethod(proxy=self._instance, bound=self._instance)
+
+    @property
+    def attr_cache_clear(self):
+        node = extract_node("""def cache_clear(self): pass""")
+        return BoundMethod(proxy=node, bound=self._instance.parent.scope())
+
+
+def _transform_lru_cache(node, context=None):
+    # TODO: this is not ideal, since the node should be immutable,
+    # but due to https://github.com/PyCQA/astroid/issues/354,
+    # there's not much we can do now.
+    # Replacing the node would work partially, because,
+    # in pylint, the old node would still be available, leading
+    # to spurious false positives.
+    node.special_attributes = LruWrappedModel()(node)
+    return
+
+
+def _functools_partial_inference(node, context=None):
+    call = arguments.CallSite.from_call(node, context=context)
+    number_of_positional = len(call.positional_arguments)
+    if number_of_positional < 1:
+        raise astroid.UseInferenceDefault(
+            "functools.partial takes at least one argument"
+        )
+    if number_of_positional == 1 and not call.keyword_arguments:
+        raise astroid.UseInferenceDefault(
+            "functools.partial needs at least to have some filled arguments"
+        )
+
+    partial_function = call.positional_arguments[0]
+    try:
+        inferred_wrapped_function = next(partial_function.infer(context=context))
+    except astroid.InferenceError as exc:
+        raise astroid.UseInferenceDefault from exc
+    if inferred_wrapped_function is astroid.Uninferable:
+        raise astroid.UseInferenceDefault("Cannot infer the wrapped function")
+    if not isinstance(inferred_wrapped_function, astroid.FunctionDef):
+        raise astroid.UseInferenceDefault("The wrapped function is not a function")
+
+    # Determine if the passed keywords into the callsite are supported
+    # by the wrapped function.
+    function_parameters = chain(
+        inferred_wrapped_function.args.args or (),
+        inferred_wrapped_function.args.posonlyargs or (),
+        inferred_wrapped_function.args.kwonlyargs or (),
+    )
+    parameter_names = set(
+        param.name
+        for param in function_parameters
+        if isinstance(param, astroid.AssignName)
+    )
+    if set(call.keyword_arguments) - parameter_names:
+        raise astroid.UseInferenceDefault(
+            "wrapped function received unknown parameters"
+        )
+
+    partial_function = objects.PartialFunction(
+        call,
+        name=inferred_wrapped_function.name,
+        doc=inferred_wrapped_function.doc,
+        lineno=inferred_wrapped_function.lineno,
+        col_offset=inferred_wrapped_function.col_offset,
+        parent=inferred_wrapped_function.parent,
+    )
+    partial_function.postinit(
+        args=inferred_wrapped_function.args,
+        body=inferred_wrapped_function.body,
+        decorators=inferred_wrapped_function.decorators,
+        returns=inferred_wrapped_function.returns,
+        type_comment_returns=inferred_wrapped_function.type_comment_returns,
+        type_comment_args=inferred_wrapped_function.type_comment_args,
+    )
+    return iter((partial_function,))
+
+
+def _looks_like_lru_cache(node):
+    """Check if the given function node is decorated with lru_cache."""
+    if not node.decorators:
+        return False
+    for decorator in node.decorators.nodes:
+        if not isinstance(decorator, astroid.Call):
+            continue
+        if _looks_like_functools_member(decorator, "lru_cache"):
+            return True
+    return False
+
+
+def _looks_like_functools_member(node, member):
+    """Check if the given Call node is a functools.partial call"""
+    if isinstance(node.func, astroid.Name):
+        return node.func.name == member
+    elif isinstance(node.func, astroid.Attribute):
+        return (
+            node.func.attrname == member
+            and isinstance(node.func.expr, astroid.Name)
+            and node.func.expr.name == "functools"
+        )
+
+
+_looks_like_partial = partial(_looks_like_functools_member, member="partial")
+
+
+MANAGER.register_transform(
+    astroid.FunctionDef, _transform_lru_cache, _looks_like_lru_cache
+)
+
+
+MANAGER.register_transform(
+    astroid.Call,
+    astroid.inference_tip(_functools_partial_inference),
+    _looks_like_partial,
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_gi.py

@@ -0,0 +1,253 @@
+# -*- coding: utf-8 -*-
+# Copyright (c) 2013-2014 LOGILAB S.A. (Paris, FRANCE) <contact@logilab.fr>
+# Copyright (c) 2014 Google, Inc.
+# Copyright (c) 2014 Cole Robinson <crobinso@redhat.com>
+# Copyright (c) 2015-2016, 2018 Claudiu Popa <pcmanticore@gmail.com>
+# Copyright (c) 2015-2016 Ceridwen <ceridwenv@gmail.com>
+# Copyright (c) 2015 David Shea <dshea@redhat.com>
+# Copyright (c) 2016 Jakub Wilk <jwilk@jwilk.net>
+# Copyright (c) 2016 Giuseppe Scrivano <gscrivan@redhat.com>
+# Copyright (c) 2018 Christoph Reiter <reiter.christoph@gmail.com>
+# Copyright (c) 2019 Philipp Hörist <philipp@hoerist.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+"""Astroid hooks for the Python 2 GObject introspection bindings.
+
+Helps with understanding everything imported from 'gi.repository'
+"""
+
+import inspect
+import itertools
+import sys
+import re
+import warnings
+
+from astroid import MANAGER, AstroidBuildingError, nodes
+from astroid.builder import AstroidBuilder
+
+
+_inspected_modules = {}
+
+_identifier_re = r"^[A-Za-z_]\w*$"
+
+_special_methods = frozenset(
+    {
+        "__lt__",
+        "__le__",
+        "__eq__",
+        "__ne__",
+        "__ge__",
+        "__gt__",
+        "__iter__",
+        "__getitem__",
+        "__setitem__",
+        "__delitem__",
+        "__len__",
+        "__bool__",
+        "__nonzero__",
+        "__next__",
+        "__str__",
+        "__len__",
+        "__contains__",
+        "__enter__",
+        "__exit__",
+        "__repr__",
+        "__getattr__",
+        "__setattr__",
+        "__delattr__",
+        "__del__",
+        "__hash__",
+    }
+)
+
+
+def _gi_build_stub(parent):
+    """
+    Inspect the passed module recursively and build stubs for functions,
+    classes, etc.
+    """
+    classes = {}
+    functions = {}
+    constants = {}
+    methods = {}
+    for name in dir(parent):
+        if name.startswith("__") and name not in _special_methods:
+            continue
+
+        # Check if this is a valid name in python
+        if not re.match(_identifier_re, name):
+            continue
+
+        try:
+            obj = getattr(parent, name)
+        except:
+            continue
+
+        if inspect.isclass(obj):
+            classes[name] = obj
+        elif inspect.isfunction(obj) or inspect.isbuiltin(obj):
+            functions[name] = obj
+        elif inspect.ismethod(obj) or inspect.ismethoddescriptor(obj):
+            methods[name] = obj
+        elif (
+            str(obj).startswith("<flags")
+            or str(obj).startswith("<enum ")
+            or str(obj).startswith("<GType ")
+            or inspect.isdatadescriptor(obj)
+        ):
+            constants[name] = 0
+        elif isinstance(obj, (int, str)):
+            constants[name] = obj
+        elif callable(obj):
+            # Fall back to a function for anything callable
+            functions[name] = obj
+        else:
+            # Assume everything else is some manner of constant
+            constants[name] = 0
+
+    ret = ""
+
+    if constants:
+        ret += "# %s constants\n\n" % parent.__name__
+    for name in sorted(constants):
+        if name[0].isdigit():
+            # GDK has some busted constant names like
+            # Gdk.EventType.2BUTTON_PRESS
+            continue
+
+        val = constants[name]
+
+        strval = str(val)
+        if isinstance(val, str):
+            strval = '"%s"' % str(val).replace("\\", "\\\\")
+        ret += "%s = %s\n" % (name, strval)
+
+    if ret:
+        ret += "\n\n"
+    if functions:
+        ret += "# %s functions\n\n" % parent.__name__
+    for name in sorted(functions):
+        ret += "def %s(*args, **kwargs):\n" % name
+        ret += "    pass\n"
+
+    if ret:
+        ret += "\n\n"
+    if methods:
+        ret += "# %s methods\n\n" % parent.__name__
+    for name in sorted(methods):
+        ret += "def %s(self, *args, **kwargs):\n" % name
+        ret += "    pass\n"
+
+    if ret:
+        ret += "\n\n"
+    if classes:
+        ret += "# %s classes\n\n" % parent.__name__
+    for name, obj in sorted(classes.items()):
+        base = "object"
+        if issubclass(obj, Exception):
+            base = "Exception"
+        ret += "class %s(%s):\n" % (name, base)
+
+        classret = _gi_build_stub(obj)
+        if not classret:
+            classret = "pass\n"
+
+        for line in classret.splitlines():
+            ret += "    " + line + "\n"
+        ret += "\n"
+
+    return ret
+
+
+def _import_gi_module(modname):
+    # we only consider gi.repository submodules
+    if not modname.startswith("gi.repository."):
+        raise AstroidBuildingError(modname=modname)
+    # build astroid representation unless we already tried so
+    if modname not in _inspected_modules:
+        modnames = [modname]
+        optional_modnames = []
+
+        # GLib and GObject may have some special case handling
+        # in pygobject that we need to cope with. However at
+        # least as of pygobject3-3.13.91 the _glib module doesn't
+        # exist anymore, so if treat these modules as optional.
+        if modname == "gi.repository.GLib":
+            optional_modnames.append("gi._glib")
+        elif modname == "gi.repository.GObject":
+            optional_modnames.append("gi._gobject")
+
+        try:
+            modcode = ""
+            for m in itertools.chain(modnames, optional_modnames):
+                try:
+                    with warnings.catch_warnings():
+                        # Just inspecting the code can raise gi deprecation
+                        # warnings, so ignore them.
+                        try:
+                            from gi import PyGIDeprecationWarning, PyGIWarning
+
+                            warnings.simplefilter("ignore", PyGIDeprecationWarning)
+                            warnings.simplefilter("ignore", PyGIWarning)
+                        except Exception:
+                            pass
+
+                        __import__(m)
+                        modcode += _gi_build_stub(sys.modules[m])
+                except ImportError:
+                    if m not in optional_modnames:
+                        raise
+        except ImportError:
+            astng = _inspected_modules[modname] = None
+        else:
+            astng = AstroidBuilder(MANAGER).string_build(modcode, modname)
+            _inspected_modules[modname] = astng
+    else:
+        astng = _inspected_modules[modname]
+    if astng is None:
+        raise AstroidBuildingError(modname=modname)
+    return astng
+
+
+def _looks_like_require_version(node):
+    # Return whether this looks like a call to gi.require_version(<name>, <version>)
+    # Only accept function calls with two constant arguments
+    if len(node.args) != 2:
+        return False
+
+    if not all(isinstance(arg, nodes.Const) for arg in node.args):
+        return False
+
+    func = node.func
+    if isinstance(func, nodes.Attribute):
+        if func.attrname != "require_version":
+            return False
+        if isinstance(func.expr, nodes.Name) and func.expr.name == "gi":
+            return True
+
+        return False
+
+    if isinstance(func, nodes.Name):
+        return func.name == "require_version"
+
+    return False
+
+
+def _register_require_version(node):
+    # Load the gi.require_version locally
+    try:
+        import gi
+
+        gi.require_version(node.args[0].value, node.args[1].value)
+    except Exception:
+        pass
+
+    return node
+
+
+MANAGER.register_failed_import_hook(_import_gi_module)
+MANAGER.register_transform(
+    nodes.Call, _register_require_version, _looks_like_require_version
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_hashlib.py

@@ -0,0 +1,69 @@
+# Copyright (c) 2016, 2018 Claudiu Popa <pcmanticore@gmail.com>
+# Copyright (c) 2018 David Poirier <david-poirier-csn@users.noreply.github.com>
+# Copyright (c) 2018 wgehalo <wgehalo@gmail.com>
+# Copyright (c) 2018 Ioana Tagirta <ioana.tagirta@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+import sys
+
+import six
+
+import astroid
+
+PY36 = sys.version_info >= (3, 6)
+
+
+def _hashlib_transform():
+    signature = "value=''"
+    template = """
+    class %(name)s(object):
+      def __init__(self, %(signature)s): pass
+      def digest(self):
+        return %(digest)s
+      def copy(self):
+        return self
+      def update(self, value): pass
+      def hexdigest(self):
+        return ''
+      @property
+      def name(self):
+        return %(name)r
+      @property
+      def block_size(self):
+        return 1
+      @property
+      def digest_size(self):
+        return 1
+    """
+    algorithms_with_signature = dict.fromkeys(
+        ["md5", "sha1", "sha224", "sha256", "sha384", "sha512"], signature
+    )
+    if PY36:
+        blake2b_signature = "data=b'', *, digest_size=64, key=b'', salt=b'', \
+                person=b'', fanout=1, depth=1, leaf_size=0, node_offset=0, \
+                node_depth=0, inner_size=0, last_node=False"
+        blake2s_signature = "data=b'', *, digest_size=32, key=b'', salt=b'', \
+                person=b'', fanout=1, depth=1, leaf_size=0, node_offset=0, \
+                node_depth=0, inner_size=0, last_node=False"
+        new_algorithms = dict.fromkeys(
+            ["sha3_224", "sha3_256", "sha3_384", "sha3_512", "shake_128", "shake_256"],
+            signature,
+        )
+        algorithms_with_signature.update(new_algorithms)
+        algorithms_with_signature.update(
+            {"blake2b": blake2b_signature, "blake2s": blake2s_signature}
+        )
+    classes = "".join(
+        template
+        % {
+            "name": hashfunc,
+            "digest": 'b""' if six.PY3 else '""',
+            "signature": signature,
+        }
+        for hashfunc, signature in algorithms_with_signature.items()
+    )
+    return astroid.parse(classes)
+
+
+astroid.register_module_extender(astroid.MANAGER, "hashlib", _hashlib_transform)

venv/lib/python3.8/site-packages/astroid/brain/brain_http.py

@@ -0,0 +1,211 @@
+# Copyright (c) 2018-2019 Claudiu Popa <pcmanticore@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+"""Astroid brain hints for some of the `http` module."""
+import textwrap
+
+import astroid
+from astroid.builder import AstroidBuilder
+
+
+def _http_transform():
+    code = textwrap.dedent(
+        """
+    from collections import namedtuple
+    _HTTPStatus = namedtuple('_HTTPStatus', 'value phrase description')
+
+    class HTTPStatus:
+
+        @property
+        def phrase(self):
+            return ""
+        @property
+        def value(self):
+            return 0
+        @property
+        def description(self):
+            return ""
+
+        # informational
+        CONTINUE = _HTTPStatus(100, 'Continue', 'Request received, please continue')
+        SWITCHING_PROTOCOLS = _HTTPStatus(101, 'Switching Protocols',
+                'Switching to new protocol; obey Upgrade header')
+        PROCESSING = _HTTPStatus(102, 'Processing', '')
+        OK = _HTTPStatus(200, 'OK', 'Request fulfilled, document follows')
+        CREATED = _HTTPStatus(201, 'Created', 'Document created, URL follows')
+        ACCEPTED = _HTTPStatus(202, 'Accepted',
+            'Request accepted, processing continues off-line')
+        NON_AUTHORITATIVE_INFORMATION = _HTTPStatus(203,
+            'Non-Authoritative Information', 'Request fulfilled from cache')
+        NO_CONTENT = _HTTPStatus(204, 'No Content', 'Request fulfilled, nothing follows')
+        RESET_CONTENT =_HTTPStatus(205, 'Reset Content', 'Clear input form for further input')
+        PARTIAL_CONTENT = _HTTPStatus(206, 'Partial Content', 'Partial content follows')
+        MULTI_STATUS = _HTTPStatus(207, 'Multi-Status', '')
+        ALREADY_REPORTED = _HTTPStatus(208, 'Already Reported', '')
+        IM_USED = _HTTPStatus(226, 'IM Used', '')
+        MULTIPLE_CHOICES = _HTTPStatus(300, 'Multiple Choices',
+            'Object has several resources -- see URI list')
+        MOVED_PERMANENTLY = _HTTPStatus(301, 'Moved Permanently',
+            'Object moved permanently -- see URI list')
+        FOUND = _HTTPStatus(302, 'Found', 'Object moved temporarily -- see URI list')
+        SEE_OTHER = _HTTPStatus(303, 'See Other', 'Object moved -- see Method and URL list')
+        NOT_MODIFIED = _HTTPStatus(304, 'Not Modified',
+            'Document has not changed since given time')
+        USE_PROXY = _HTTPStatus(305, 'Use Proxy',
+            'You must use proxy specified in Location to access this resource')
+        TEMPORARY_REDIRECT = _HTTPStatus(307, 'Temporary Redirect',
+            'Object moved temporarily -- see URI list')
+        PERMANENT_REDIRECT = _HTTPStatus(308, 'Permanent Redirect',
+            'Object moved permanently -- see URI list')
+        BAD_REQUEST = _HTTPStatus(400, 'Bad Request',
+            'Bad request syntax or unsupported method')
+        UNAUTHORIZED = _HTTPStatus(401, 'Unauthorized',
+            'No permission -- see authorization schemes')
+        PAYMENT_REQUIRED = _HTTPStatus(402, 'Payment Required',
+            'No payment -- see charging schemes')
+        FORBIDDEN = _HTTPStatus(403, 'Forbidden',
+            'Request forbidden -- authorization will not help')
+        NOT_FOUND = _HTTPStatus(404, 'Not Found',
+            'Nothing matches the given URI')
+        METHOD_NOT_ALLOWED = _HTTPStatus(405, 'Method Not Allowed',
+            'Specified method is invalid for this resource')
+        NOT_ACCEPTABLE = _HTTPStatus(406, 'Not Acceptable',
+            'URI not available in preferred format')
+        PROXY_AUTHENTICATION_REQUIRED = _HTTPStatus(407,
+            'Proxy Authentication Required',
+            'You must authenticate with this proxy before proceeding')
+        REQUEST_TIMEOUT = _HTTPStatus(408, 'Request Timeout',
+            'Request timed out; try again later')
+        CONFLICT = _HTTPStatus(409, 'Conflict', 'Request conflict')
+        GONE = _HTTPStatus(410, 'Gone',
+            'URI no longer exists and has been permanently removed')
+        LENGTH_REQUIRED = _HTTPStatus(411, 'Length Required',
+            'Client must specify Content-Length')
+        PRECONDITION_FAILED = _HTTPStatus(412, 'Precondition Failed',
+            'Precondition in headers is false')
+        REQUEST_ENTITY_TOO_LARGE = _HTTPStatus(413, 'Request Entity Too Large',
+            'Entity is too large')
+        REQUEST_URI_TOO_LONG = _HTTPStatus(414, 'Request-URI Too Long',
+            'URI is too long')
+        UNSUPPORTED_MEDIA_TYPE = _HTTPStatus(415, 'Unsupported Media Type',
+            'Entity body in unsupported format')
+        REQUESTED_RANGE_NOT_SATISFIABLE = _HTTPStatus(416,
+            'Requested Range Not Satisfiable',
+            'Cannot satisfy request range')
+        EXPECTATION_FAILED = _HTTPStatus(417, 'Expectation Failed',
+            'Expect condition could not be satisfied')
+        MISDIRECTED_REQUEST = _HTTPStatus(421, 'Misdirected Request',
+            'Server is not able to produce a response')
+        UNPROCESSABLE_ENTITY = _HTTPStatus(422, 'Unprocessable Entity')
+        LOCKED = _HTTPStatus(423, 'Locked')
+        FAILED_DEPENDENCY = _HTTPStatus(424, 'Failed Dependency')
+        UPGRADE_REQUIRED = _HTTPStatus(426, 'Upgrade Required')
+        PRECONDITION_REQUIRED = _HTTPStatus(428, 'Precondition Required',
+            'The origin server requires the request to be conditional')
+        TOO_MANY_REQUESTS = _HTTPStatus(429, 'Too Many Requests',
+            'The user has sent too many requests in '
+            'a given amount of time ("rate limiting")')
+        REQUEST_HEADER_FIELDS_TOO_LARGE = _HTTPStatus(431,
+            'Request Header Fields Too Large',
+            'The server is unwilling to process the request because its header '
+            'fields are too large')
+        UNAVAILABLE_FOR_LEGAL_REASONS = _HTTPStatus(451,
+            'Unavailable For Legal Reasons',
+            'The server is denying access to the '
+            'resource as a consequence of a legal demand')
+        INTERNAL_SERVER_ERROR = _HTTPStatus(500, 'Internal Server Error',
+            'Server got itself in trouble')
+        NOT_IMPLEMENTED = _HTTPStatus(501, 'Not Implemented',
+            'Server does not support this operation')
+        BAD_GATEWAY = _HTTPStatus(502, 'Bad Gateway',
+            'Invalid responses from another server/proxy')
+        SERVICE_UNAVAILABLE = _HTTPStatus(503, 'Service Unavailable',
+            'The server cannot process the request due to a high load')
+        GATEWAY_TIMEOUT = _HTTPStatus(504, 'Gateway Timeout',
+            'The gateway server did not receive a timely response')
+        HTTP_VERSION_NOT_SUPPORTED = _HTTPStatus(505, 'HTTP Version Not Supported',
+            'Cannot fulfill request')
+        VARIANT_ALSO_NEGOTIATES = _HTTPStatus(506, 'Variant Also Negotiates')
+        INSUFFICIENT_STORAGE = _HTTPStatus(507, 'Insufficient Storage')
+        LOOP_DETECTED = _HTTPStatus(508, 'Loop Detected')
+        NOT_EXTENDED = _HTTPStatus(510, 'Not Extended')
+        NETWORK_AUTHENTICATION_REQUIRED = _HTTPStatus(511,
+            'Network Authentication Required',
+            'The client needs to authenticate to gain network access')
+    """
+    )
+    return AstroidBuilder(astroid.MANAGER).string_build(code)
+
+
+def _http_client_transform():
+    return AstroidBuilder(astroid.MANAGER).string_build(
+        textwrap.dedent(
+            """
+    from http import HTTPStatus
+
+    CONTINUE = HTTPStatus.CONTINUE
+    SWITCHING_PROTOCOLS = HTTPStatus.SWITCHING_PROTOCOLS
+    PROCESSING = HTTPStatus.PROCESSING
+    OK = HTTPStatus.OK
+    CREATED = HTTPStatus.CREATED
+    ACCEPTED = HTTPStatus.ACCEPTED
+    NON_AUTHORITATIVE_INFORMATION = HTTPStatus.NON_AUTHORITATIVE_INFORMATION
+    NO_CONTENT = HTTPStatus.NO_CONTENT
+    RESET_CONTENT = HTTPStatus.RESET_CONTENT
+    PARTIAL_CONTENT = HTTPStatus.PARTIAL_CONTENT
+    MULTI_STATUS = HTTPStatus.MULTI_STATUS
+    ALREADY_REPORTED = HTTPStatus.ALREADY_REPORTED
+    IM_USED = HTTPStatus.IM_USED
+    MULTIPLE_CHOICES = HTTPStatus.MULTIPLE_CHOICES
+    MOVED_PERMANENTLY = HTTPStatus.MOVED_PERMANENTLY
+    FOUND = HTTPStatus.FOUND
+    SEE_OTHER = HTTPStatus.SEE_OTHER
+    NOT_MODIFIED = HTTPStatus.NOT_MODIFIED
+    USE_PROXY = HTTPStatus.USE_PROXY
+    TEMPORARY_REDIRECT = HTTPStatus.TEMPORARY_REDIRECT
+    PERMANENT_REDIRECT = HTTPStatus.PERMANENT_REDIRECT
+    BAD_REQUEST = HTTPStatus.BAD_REQUEST
+    UNAUTHORIZED = HTTPStatus.UNAUTHORIZED
+    PAYMENT_REQUIRED = HTTPStatus.PAYMENT_REQUIRED
+    FORBIDDEN = HTTPStatus.FORBIDDEN
+    NOT_FOUND = HTTPStatus.NOT_FOUND
+    METHOD_NOT_ALLOWED = HTTPStatus.METHOD_NOT_ALLOWED
+    NOT_ACCEPTABLE = HTTPStatus.NOT_ACCEPTABLE
+    PROXY_AUTHENTICATION_REQUIRED = HTTPStatus.PROXY_AUTHENTICATION_REQUIRED
+    REQUEST_TIMEOUT = HTTPStatus.REQUEST_TIMEOUT
+    CONFLICT = HTTPStatus.CONFLICT
+    GONE = HTTPStatus.GONE
+    LENGTH_REQUIRED = HTTPStatus.LENGTH_REQUIRED
+    PRECONDITION_FAILED = HTTPStatus.PRECONDITION_FAILED
+    REQUEST_ENTITY_TOO_LARGE = HTTPStatus.REQUEST_ENTITY_TOO_LARGE
+    REQUEST_URI_TOO_LONG = HTTPStatus.REQUEST_URI_TOO_LONG
+    UNSUPPORTED_MEDIA_TYPE = HTTPStatus.UNSUPPORTED_MEDIA_TYPE
+    REQUESTED_RANGE_NOT_SATISFIABLE = HTTPStatus.REQUESTED_RANGE_NOT_SATISFIABLE
+    EXPECTATION_FAILED = HTTPStatus.EXPECTATION_FAILED
+    UNPROCESSABLE_ENTITY = HTTPStatus.UNPROCESSABLE_ENTITY
+    LOCKED = HTTPStatus.LOCKED
+    FAILED_DEPENDENCY = HTTPStatus.FAILED_DEPENDENCY
+    UPGRADE_REQUIRED = HTTPStatus.UPGRADE_REQUIRED
+    PRECONDITION_REQUIRED = HTTPStatus.PRECONDITION_REQUIRED
+    TOO_MANY_REQUESTS = HTTPStatus.TOO_MANY_REQUESTS
+    REQUEST_HEADER_FIELDS_TOO_LARGE = HTTPStatus.REQUEST_HEADER_FIELDS_TOO_LARGE
+    INTERNAL_SERVER_ERROR = HTTPStatus.INTERNAL_SERVER_ERROR
+    NOT_IMPLEMENTED = HTTPStatus.NOT_IMPLEMENTED
+    BAD_GATEWAY = HTTPStatus.BAD_GATEWAY
+    SERVICE_UNAVAILABLE = HTTPStatus.SERVICE_UNAVAILABLE
+    GATEWAY_TIMEOUT = HTTPStatus.GATEWAY_TIMEOUT
+    HTTP_VERSION_NOT_SUPPORTED = HTTPStatus.HTTP_VERSION_NOT_SUPPORTED
+    VARIANT_ALSO_NEGOTIATES = HTTPStatus.VARIANT_ALSO_NEGOTIATES
+    INSUFFICIENT_STORAGE = HTTPStatus.INSUFFICIENT_STORAGE
+    LOOP_DETECTED = HTTPStatus.LOOP_DETECTED
+    NOT_EXTENDED = HTTPStatus.NOT_EXTENDED
+    NETWORK_AUTHENTICATION_REQUIRED = HTTPStatus.NETWORK_AUTHENTICATION_REQUIRED
+    """
+        )
+    )
+
+
+astroid.register_module_extender(astroid.MANAGER, "http", _http_transform)
+astroid.register_module_extender(astroid.MANAGER, "http.client", _http_client_transform)

venv/lib/python3.8/site-packages/astroid/brain/brain_io.py

@@ -0,0 +1,45 @@
+# Copyright (c) 2016, 2018 Claudiu Popa <pcmanticore@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+"""Astroid brain hints for some of the _io C objects."""
+
+import astroid
+
+
+BUFFERED = {"BufferedWriter", "BufferedReader"}
+TextIOWrapper = "TextIOWrapper"
+FileIO = "FileIO"
+BufferedWriter = "BufferedWriter"
+
+
+def _generic_io_transform(node, name, cls):
+    """Transform the given name, by adding the given *class* as a member of the node."""
+
+    io_module = astroid.MANAGER.ast_from_module_name("_io")
+    attribute_object = io_module[cls]
+    instance = attribute_object.instantiate_class()
+    node.locals[name] = [instance]
+
+
+def _transform_text_io_wrapper(node):
+    # This is not always correct, since it can vary with the type of the descriptor,
+    # being stdout, stderr or stdin. But we cannot get access to the name of the
+    # stream, which is why we are using the BufferedWriter class as a default
+    # value
+    return _generic_io_transform(node, name="buffer", cls=BufferedWriter)
+
+
+def _transform_buffered(node):
+    return _generic_io_transform(node, name="raw", cls=FileIO)
+
+
+astroid.MANAGER.register_transform(
+    astroid.ClassDef, _transform_buffered, lambda node: node.name in BUFFERED
+)
+astroid.MANAGER.register_transform(
+    astroid.ClassDef,
+    _transform_text_io_wrapper,
+    lambda node: node.name == TextIOWrapper,
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_mechanize.py

@@ -0,0 +1,29 @@
+# Copyright (c) 2012-2013 LOGILAB S.A. (Paris, FRANCE) <contact@logilab.fr>
+# Copyright (c) 2014 Google, Inc.
+# Copyright (c) 2015-2016, 2018 Claudiu Popa <pcmanticore@gmail.com>
+# Copyright (c) 2016 Ceridwen <ceridwenv@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+from astroid import MANAGER, register_module_extender
+from astroid.builder import AstroidBuilder
+
+
+def mechanize_transform():
+    return AstroidBuilder(MANAGER).string_build(
+        """
+
+class Browser(object):
+    def open(self, url, data=None, timeout=None):
+        return None
+    def open_novisit(self, url, data=None, timeout=None):
+        return None
+    def open_local_file(self, filename):
+        return None
+
+"""
+    )
+
+
+register_module_extender(MANAGER, "mechanize", mechanize_transform)

venv/lib/python3.8/site-packages/astroid/brain/brain_multiprocessing.py

@@ -0,0 +1,107 @@
+# Copyright (c) 2016, 2018 Claudiu Popa <pcmanticore@gmail.com>
+# Copyright (c) 2019 Hugo van Kemenade <hugovk@users.noreply.github.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+import sys
+
+import astroid
+from astroid import exceptions
+
+
+def _multiprocessing_transform():
+    module = astroid.parse(
+        """
+    from multiprocessing.managers import SyncManager
+    def Manager():
+        return SyncManager()
+    """
+    )
+    # Multiprocessing uses a getattr lookup inside contexts,
+    # in order to get the attributes they need. Since it's extremely
+    # dynamic, we use this approach to fake it.
+    node = astroid.parse(
+        """
+    from multiprocessing.context import DefaultContext, BaseContext
+    default = DefaultContext()
+    base = BaseContext()
+    """
+    )
+    try:
+        context = next(node["default"].infer())
+        base = next(node["base"].infer())
+    except exceptions.InferenceError:
+        return module
+
+    for node in (context, base):
+        for key, value in node.locals.items():
+            if key.startswith("_"):
+                continue
+
+            value = value[0]
+            if isinstance(value, astroid.FunctionDef):
+                # We need to rebound this, since otherwise
+                # it will have an extra argument (self).
+                value = astroid.BoundMethod(value, node)
+            module[key] = value
+    return module
+
+
+def _multiprocessing_managers_transform():
+    return astroid.parse(
+        """
+    import array
+    import threading
+    import multiprocessing.pool as pool
+
+    import six
+
+    class Namespace(object):
+        pass
+
+    class Value(object):
+        def __init__(self, typecode, value, lock=True):
+            self._typecode = typecode
+            self._value = value
+        def get(self):
+            return self._value
+        def set(self, value):
+            self._value = value
+        def __repr__(self):
+            return '%s(%r, %r)'%(type(self).__name__, self._typecode, self._value)
+        value = property(get, set)
+
+    def Array(typecode, sequence, lock=True):
+        return array.array(typecode, sequence)
+
+    class SyncManager(object):
+        Queue = JoinableQueue = six.moves.queue.Queue
+        Event = threading.Event
+        RLock = threading.RLock
+        BoundedSemaphore = threading.BoundedSemaphore
+        Condition = threading.Condition
+        Barrier = threading.Barrier
+        Pool = pool.Pool
+        list = list
+        dict = dict
+        Value = Value
+        Array = Array
+        Namespace = Namespace
+        __enter__ = lambda self: self
+        __exit__ = lambda *args: args
+
+        def start(self, initializer=None, initargs=None):
+            pass
+        def shutdown(self):
+            pass
+    """
+    )
+
+
+astroid.register_module_extender(
+    astroid.MANAGER, "multiprocessing.managers", _multiprocessing_managers_transform
+)
+astroid.register_module_extender(
+    astroid.MANAGER, "multiprocessing", _multiprocessing_transform
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_namedtuple_enum.py

@@ -0,0 +1,453 @@
+# -*- coding: utf-8 -*-
+# Copyright (c) 2012-2015 LOGILAB S.A. (Paris, FRANCE) <contact@logilab.fr>
+# Copyright (c) 2013-2014 Google, Inc.
+# Copyright (c) 2014-2020 Claudiu Popa <pcmanticore@gmail.com>
+# Copyright (c) 2014 Eevee (Alex Munroe) <amunroe@yelp.com>
+# Copyright (c) 2015-2016 Ceridwen <ceridwenv@gmail.com>
+# Copyright (c) 2015 Dmitry Pribysh <dmand@yandex.ru>
+# Copyright (c) 2015 David Shea <dshea@redhat.com>
+# Copyright (c) 2015 Philip Lorenz <philip@bithub.de>
+# Copyright (c) 2016 Jakub Wilk <jwilk@jwilk.net>
+# Copyright (c) 2016 Mateusz Bysiek <mb@mbdev.pl>
+# Copyright (c) 2017 Hugo <hugovk@users.noreply.github.com>
+# Copyright (c) 2017 Łukasz Rogalski <rogalski.91@gmail.com>
+# Copyright (c) 2018 Ville Skyttä <ville.skytta@iki.fi>
+# Copyright (c) 2019 Ashley Whetter <ashley@awhetter.co.uk>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+"""Astroid hooks for the Python standard library."""
+
+import functools
+import keyword
+from textwrap import dedent
+
+from astroid import MANAGER, UseInferenceDefault, inference_tip, InferenceError
+from astroid import arguments
+from astroid import exceptions
+from astroid import nodes
+from astroid.builder import AstroidBuilder, extract_node
+from astroid import util
+
+
+TYPING_NAMEDTUPLE_BASENAMES = {"NamedTuple", "typing.NamedTuple"}
+ENUM_BASE_NAMES = {
+    "Enum",
+    "IntEnum",
+    "enum.Enum",
+    "enum.IntEnum",
+    "IntFlag",
+    "enum.IntFlag",
+}
+
+
+def _infer_first(node, context):
+    if node is util.Uninferable:
+        raise UseInferenceDefault
+    try:
+        value = next(node.infer(context=context))
+        if value is util.Uninferable:
+            raise UseInferenceDefault()
+        else:
+            return value
+    except StopIteration:
+        raise InferenceError()
+
+
+def _find_func_form_arguments(node, context):
+    def _extract_namedtuple_arg_or_keyword(position, key_name=None):
+
+        if len(args) > position:
+            return _infer_first(args[position], context)
+        if key_name and key_name in found_keywords:
+            return _infer_first(found_keywords[key_name], context)
+
+    args = node.args
+    keywords = node.keywords
+    found_keywords = (
+        {keyword.arg: keyword.value for keyword in keywords} if keywords else {}
+    )
+
+    name = _extract_namedtuple_arg_or_keyword(position=0, key_name="typename")
+    names = _extract_namedtuple_arg_or_keyword(position=1, key_name="field_names")
+    if name and names:
+        return name.value, names
+
+    raise UseInferenceDefault()
+
+
+def infer_func_form(node, base_type, context=None, enum=False):
+    """Specific inference function for namedtuple or Python 3 enum. """
+    # node is a Call node, class name as first argument and generated class
+    # attributes as second argument
+
+    # namedtuple or enums list of attributes can be a list of strings or a
+    # whitespace-separate string
+    try:
+        name, names = _find_func_form_arguments(node, context)
+        try:
+            attributes = names.value.replace(",", " ").split()
+        except AttributeError:
+            if not enum:
+                attributes = [
+                    _infer_first(const, context).value for const in names.elts
+                ]
+            else:
+                # Enums supports either iterator of (name, value) pairs
+                # or mappings.
+                if hasattr(names, "items") and isinstance(names.items, list):
+                    attributes = [
+                        _infer_first(const[0], context).value
+                        for const in names.items
+                        if isinstance(const[0], nodes.Const)
+                    ]
+                elif hasattr(names, "elts"):
+                    # Enums can support either ["a", "b", "c"]
+                    # or [("a", 1), ("b", 2), ...], but they can't
+                    # be mixed.
+                    if all(isinstance(const, nodes.Tuple) for const in names.elts):
+                        attributes = [
+                            _infer_first(const.elts[0], context).value
+                            for const in names.elts
+                            if isinstance(const, nodes.Tuple)
+                        ]
+                    else:
+                        attributes = [
+                            _infer_first(const, context).value for const in names.elts
+                        ]
+                else:
+                    raise AttributeError
+                if not attributes:
+                    raise AttributeError
+    except (AttributeError, exceptions.InferenceError):
+        raise UseInferenceDefault()
+
+    # If we can't infer the name of the class, don't crash, up to this point
+    # we know it is a namedtuple anyway.
+    name = name or "Uninferable"
+    # we want to return a Class node instance with proper attributes set
+    class_node = nodes.ClassDef(name, "docstring")
+    class_node.parent = node.parent
+    # set base class=tuple
+    class_node.bases.append(base_type)
+    # XXX add __init__(*attributes) method
+    for attr in attributes:
+        fake_node = nodes.EmptyNode()
+        fake_node.parent = class_node
+        fake_node.attrname = attr
+        class_node.instance_attrs[attr] = [fake_node]
+    return class_node, name, attributes
+
+
+def _has_namedtuple_base(node):
+    """Predicate for class inference tip
+
+    :type node: ClassDef
+    :rtype: bool
+    """
+    return set(node.basenames) & TYPING_NAMEDTUPLE_BASENAMES
+
+
+def _looks_like(node, name):
+    func = node.func
+    if isinstance(func, nodes.Attribute):
+        return func.attrname == name
+    if isinstance(func, nodes.Name):
+        return func.name == name
+    return False
+
+
+_looks_like_namedtuple = functools.partial(_looks_like, name="namedtuple")
+_looks_like_enum = functools.partial(_looks_like, name="Enum")
+_looks_like_typing_namedtuple = functools.partial(_looks_like, name="NamedTuple")
+
+
+def infer_named_tuple(node, context=None):
+    """Specific inference function for namedtuple Call node"""
+    tuple_base_name = nodes.Name(name="tuple", parent=node.root())
+    class_node, name, attributes = infer_func_form(
+        node, tuple_base_name, context=context
+    )
+    call_site = arguments.CallSite.from_call(node, context=context)
+    func = next(extract_node("import collections; collections.namedtuple").infer())
+    try:
+        rename = next(call_site.infer_argument(func, "rename", context)).bool_value()
+    except InferenceError:
+        rename = False
+
+    if rename:
+        attributes = _get_renamed_namedtuple_attributes(attributes)
+
+    replace_args = ", ".join("{arg}=None".format(arg=arg) for arg in attributes)
+    field_def = (
+        "    {name} = property(lambda self: self[{index:d}], "
+        "doc='Alias for field number {index:d}')"
+    )
+    field_defs = "\n".join(
+        field_def.format(name=name, index=index)
+        for index, name in enumerate(attributes)
+    )
+    fake = AstroidBuilder(MANAGER).string_build(
+        """
+class %(name)s(tuple):
+    __slots__ = ()
+    _fields = %(fields)r
+    def _asdict(self):
+        return self.__dict__
+    @classmethod
+    def _make(cls, iterable, new=tuple.__new__, len=len):
+        return new(cls, iterable)
+    def _replace(self, %(replace_args)s):
+        return self
+    def __getnewargs__(self):
+        return tuple(self)
+%(field_defs)s
+    """
+        % {
+            "name": name,
+            "fields": attributes,
+            "field_defs": field_defs,
+            "replace_args": replace_args,
+        }
+    )
+    class_node.locals["_asdict"] = fake.body[0].locals["_asdict"]
+    class_node.locals["_make"] = fake.body[0].locals["_make"]
+    class_node.locals["_replace"] = fake.body[0].locals["_replace"]
+    class_node.locals["_fields"] = fake.body[0].locals["_fields"]
+    for attr in attributes:
+        class_node.locals[attr] = fake.body[0].locals[attr]
+    # we use UseInferenceDefault, we can't be a generator so return an iterator
+    return iter([class_node])
+
+
+def _get_renamed_namedtuple_attributes(field_names):
+    names = list(field_names)
+    seen = set()
+    for i, name in enumerate(field_names):
+        if (
+            not all(c.isalnum() or c == "_" for c in name)
+            or keyword.iskeyword(name)
+            or not name
+            or name[0].isdigit()
+            or name.startswith("_")
+            or name in seen
+        ):
+            names[i] = "_%d" % i
+        seen.add(name)
+    return tuple(names)
+
+
+def infer_enum(node, context=None):
+    """ Specific inference function for enum Call node. """
+    enum_meta = extract_node(
+        """
+    class EnumMeta(object):
+        'docstring'
+        def __call__(self, node):
+            class EnumAttribute(object):
+                name = ''
+                value = 0
+            return EnumAttribute()
+        def __iter__(self):
+            class EnumAttribute(object):
+                name = ''
+                value = 0
+            return [EnumAttribute()]
+        def __reversed__(self):
+            class EnumAttribute(object):
+                name = ''
+                value = 0
+            return (EnumAttribute, )
+        def __next__(self):
+            return next(iter(self))
+        def __getitem__(self, attr):
+            class Value(object):
+                @property
+                def name(self):
+                    return ''
+                @property
+                def value(self):
+                    return attr
+
+            return Value()
+        __members__ = ['']
+    """
+    )
+    class_node = infer_func_form(node, enum_meta, context=context, enum=True)[0]
+    return iter([class_node.instantiate_class()])
+
+
+INT_FLAG_ADDITION_METHODS = """
+    def __or__(self, other):
+        return {name}(self.value | other.value)
+    def __and__(self, other):
+        return {name}(self.value & other.value)
+    def __xor__(self, other):
+        return {name}(self.value ^ other.value)
+    def __add__(self, other):
+        return {name}(self.value + other.value)
+    def __div__(self, other):
+        return {name}(self.value / other.value)
+    def __invert__(self):
+        return {name}(~self.value)
+    def __mul__(self, other):
+        return {name}(self.value * other.value)
+"""
+
+
+def infer_enum_class(node):
+    """ Specific inference for enums. """
+    for basename in node.basenames:
+        # TODO: doesn't handle subclasses yet. This implementation
+        # is a hack to support enums.
+        if basename not in ENUM_BASE_NAMES:
+            continue
+        if node.root().name == "enum":
+            # Skip if the class is directly from enum module.
+            break
+        for local, values in node.locals.items():
+            if any(not isinstance(value, nodes.AssignName) for value in values):
+                continue
+
+            targets = []
+            stmt = values[0].statement()
+            if isinstance(stmt, nodes.Assign):
+                if isinstance(stmt.targets[0], nodes.Tuple):
+                    targets = stmt.targets[0].itered()
+                else:
+                    targets = stmt.targets
+            elif isinstance(stmt, nodes.AnnAssign):
+                targets = [stmt.target]
+            else:
+                continue
+
+            inferred_return_value = None
+            if isinstance(stmt, nodes.Assign):
+                if isinstance(stmt.value, nodes.Const):
+                    if isinstance(stmt.value.value, str):
+                        inferred_return_value = repr(stmt.value.value)
+                    else:
+                        inferred_return_value = stmt.value.value
+                else:
+                    inferred_return_value = stmt.value.as_string()
+
+            new_targets = []
+            for target in targets:
+                # Replace all the assignments with our mocked class.
+                classdef = dedent(
+                    """
+                class {name}({types}):
+                    @property
+                    def value(self):
+                        return {return_value}
+                    @property
+                    def name(self):
+                        return "{name}"
+                """.format(
+                        name=target.name,
+                        types=", ".join(node.basenames),
+                        return_value=inferred_return_value,
+                    )
+                )
+                if "IntFlag" in basename:
+                    # Alright, we need to add some additional methods.
+                    # Unfortunately we still can't infer the resulting objects as
+                    # Enum members, but once we'll be able to do that, the following
+                    # should result in some nice symbolic execution
+                    classdef += INT_FLAG_ADDITION_METHODS.format(name=target.name)
+
+                fake = AstroidBuilder(MANAGER).string_build(classdef)[target.name]
+                fake.parent = target.parent
+                for method in node.mymethods():
+                    fake.locals[method.name] = [method]
+                new_targets.append(fake.instantiate_class())
+            node.locals[local] = new_targets
+        break
+    return node
+
+
+def infer_typing_namedtuple_class(class_node, context=None):
+    """Infer a subclass of typing.NamedTuple"""
+    # Check if it has the corresponding bases
+    annassigns_fields = [
+        annassign.target.name
+        for annassign in class_node.body
+        if isinstance(annassign, nodes.AnnAssign)
+    ]
+    code = dedent(
+        """
+    from collections import namedtuple
+    namedtuple({typename!r}, {fields!r})
+    """
+    ).format(typename=class_node.name, fields=",".join(annassigns_fields))
+    node = extract_node(code)
+    generated_class_node = next(infer_named_tuple(node, context))
+    for method in class_node.mymethods():
+        generated_class_node.locals[method.name] = [method]
+
+    for assign in class_node.body:
+        if not isinstance(assign, nodes.Assign):
+            continue
+
+        for target in assign.targets:
+            attr = target.name
+            generated_class_node.locals[attr] = class_node.locals[attr]
+
+    return iter((generated_class_node,))
+
+
+def infer_typing_namedtuple(node, context=None):
+    """Infer a typing.NamedTuple(...) call."""
+    # This is essentially a namedtuple with different arguments
+    # so we extract the args and infer a named tuple.
+    try:
+        func = next(node.func.infer())
+    except InferenceError:
+        raise UseInferenceDefault
+
+    if func.qname() != "typing.NamedTuple":
+        raise UseInferenceDefault
+
+    if len(node.args) != 2:
+        raise UseInferenceDefault
+
+    if not isinstance(node.args[1], (nodes.List, nodes.Tuple)):
+        raise UseInferenceDefault
+
+    names = []
+    for elt in node.args[1].elts:
+        if not isinstance(elt, (nodes.List, nodes.Tuple)):
+            raise UseInferenceDefault
+        if len(elt.elts) != 2:
+            raise UseInferenceDefault
+        names.append(elt.elts[0].as_string())
+
+    typename = node.args[0].as_string()
+    if names:
+        field_names = "({},)".format(",".join(names))
+    else:
+        field_names = "''"
+    node = extract_node(
+        "namedtuple({typename}, {fields})".format(typename=typename, fields=field_names)
+    )
+    return infer_named_tuple(node, context)
+
+
+MANAGER.register_transform(
+    nodes.Call, inference_tip(infer_named_tuple), _looks_like_namedtuple
+)
+MANAGER.register_transform(nodes.Call, inference_tip(infer_enum), _looks_like_enum)
+MANAGER.register_transform(
+    nodes.ClassDef,
+    infer_enum_class,
+    predicate=lambda cls: any(
+        basename for basename in cls.basenames if basename in ENUM_BASE_NAMES
+    ),
+)
+MANAGER.register_transform(
+    nodes.ClassDef, inference_tip(infer_typing_namedtuple_class), _has_namedtuple_base
+)
+MANAGER.register_transform(
+    nodes.Call, inference_tip(infer_typing_namedtuple), _looks_like_typing_namedtuple
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_nose.py

@@ -0,0 +1,77 @@
+# Copyright (c) 2015-2016, 2018 Claudiu Popa <pcmanticore@gmail.com>
+# Copyright (c) 2016 Ceridwen <ceridwenv@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+
+"""Hooks for nose library."""
+
+import re
+import textwrap
+
+import astroid
+import astroid.builder
+
+_BUILDER = astroid.builder.AstroidBuilder(astroid.MANAGER)
+
+
+def _pep8(name, caps=re.compile("([A-Z])")):
+    return caps.sub(lambda m: "_" + m.groups()[0].lower(), name)
+
+
+def _nose_tools_functions():
+    """Get an iterator of names and bound methods."""
+    module = _BUILDER.string_build(
+        textwrap.dedent(
+            """
+    import unittest
+
+    class Test(unittest.TestCase):
+        pass
+    a = Test()
+    """
+        )
+    )
+    try:
+        case = next(module["a"].infer())
+    except astroid.InferenceError:
+        return
+    for method in case.methods():
+        if method.name.startswith("assert") and "_" not in method.name:
+            pep8_name = _pep8(method.name)
+            yield pep8_name, astroid.BoundMethod(method, case)
+        if method.name == "assertEqual":
+            # nose also exports assert_equals.
+            yield "assert_equals", astroid.BoundMethod(method, case)
+
+
+def _nose_tools_transform(node):
+    for method_name, method in _nose_tools_functions():
+        node.locals[method_name] = [method]
+
+
+def _nose_tools_trivial_transform():
+    """Custom transform for the nose.tools module."""
+    stub = _BUILDER.string_build("""__all__ = []""")
+    all_entries = ["ok_", "eq_"]
+
+    for pep8_name, method in _nose_tools_functions():
+        all_entries.append(pep8_name)
+        stub[pep8_name] = method
+
+    # Update the __all__ variable, since nose.tools
+    # does this manually with .append.
+    all_assign = stub["__all__"].parent
+    all_object = astroid.List(all_entries)
+    all_object.parent = all_assign
+    all_assign.value = all_object
+    return stub
+
+
+astroid.register_module_extender(
+    astroid.MANAGER, "nose.tools.trivial", _nose_tools_trivial_transform
+)
+astroid.MANAGER.register_transform(
+    astroid.Module, _nose_tools_transform, lambda n: n.name == "nose.tools"
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_numpy_core_fromnumeric.py

@@ -0,0 +1,23 @@
+# Copyright (c) 2019 hippo91 <guillaume.peillex@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+
+"""Astroid hooks for numpy.core.fromnumeric module."""
+
+import astroid
+
+
+def numpy_core_fromnumeric_transform():
+    return astroid.parse(
+        """
+    def sum(a, axis=None, dtype=None, out=None, keepdims=None, initial=None):
+        return numpy.ndarray([0, 0])
+    """
+    )
+
+
+astroid.register_module_extender(
+    astroid.MANAGER, "numpy.core.fromnumeric", numpy_core_fromnumeric_transform
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_numpy_core_function_base.py

@@ -0,0 +1,29 @@
+# Copyright (c) 2019 hippo91 <guillaume.peillex@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+
+"""Astroid hooks for numpy.core.function_base module."""
+
+import functools
+import astroid
+from brain_numpy_utils import looks_like_numpy_member, infer_numpy_member
+
+
+METHODS_TO_BE_INFERRED = {
+    "linspace": """def linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None, axis=0):
+            return numpy.ndarray([0, 0])""",
+    "logspace": """def logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None, axis=0):
+            return numpy.ndarray([0, 0])""",
+    "geomspace": """def geomspace(start, stop, num=50, endpoint=True, dtype=None, axis=0):
+            return numpy.ndarray([0, 0])""",
+}
+
+for func_name, func_src in METHODS_TO_BE_INFERRED.items():
+    inference_function = functools.partial(infer_numpy_member, func_src)
+    astroid.MANAGER.register_transform(
+        astroid.Attribute,
+        astroid.inference_tip(inference_function),
+        functools.partial(looks_like_numpy_member, func_name),
+    )

venv/lib/python3.8/site-packages/astroid/brain/brain_numpy_core_multiarray.py

@@ -0,0 +1,92 @@
+# Copyright (c) 2019-2020 hippo91 <guillaume.peillex@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+
+"""Astroid hooks for numpy.core.multiarray module."""
+
+import functools
+import astroid
+from brain_numpy_utils import looks_like_numpy_member, infer_numpy_member
+
+
+def numpy_core_multiarray_transform():
+    return astroid.parse(
+        """
+    # different functions defined in multiarray.py
+    def inner(a, b):
+        return numpy.ndarray([0, 0])
+
+    def vdot(a, b):
+        return numpy.ndarray([0, 0])
+        """
+    )
+
+
+astroid.register_module_extender(
+    astroid.MANAGER, "numpy.core.multiarray", numpy_core_multiarray_transform
+)
+
+
+METHODS_TO_BE_INFERRED = {
+    "array": """def array(object, dtype=None, copy=True, order='K', subok=False, ndmin=0):
+            return numpy.ndarray([0, 0])""",
+    "dot": """def dot(a, b, out=None):
+            return numpy.ndarray([0, 0])""",
+    "empty_like": """def empty_like(a, dtype=None, order='K', subok=True):
+            return numpy.ndarray((0, 0))""",
+    "concatenate": """def concatenate(arrays, axis=None, out=None):
+            return numpy.ndarray((0, 0))""",
+    "where": """def where(condition, x=None, y=None):
+            return numpy.ndarray([0, 0])""",
+    "empty": """def empty(shape, dtype=float, order='C'):
+            return numpy.ndarray([0, 0])""",
+    "bincount": """def bincount(x, weights=None, minlength=0):
+            return numpy.ndarray([0, 0])""",
+    "busday_count": """def busday_count(begindates, enddates, weekmask='1111100', holidays=[], busdaycal=None, out=None):
+            return numpy.ndarray([0, 0])""",
+    "busday_offset": """def busday_offset(dates, offsets, roll='raise', weekmask='1111100', holidays=None, busdaycal=None, out=None):
+            return numpy.ndarray([0, 0])""",
+    "can_cast": """def can_cast(from_, to, casting='safe'):
+            return True""",
+    "copyto": """def copyto(dst, src, casting='same_kind', where=True):
+            return None""",
+    "datetime_as_string": """def datetime_as_string(arr, unit=None, timezone='naive', casting='same_kind'):
+            return numpy.ndarray([0, 0])""",
+    "is_busday": """def is_busday(dates, weekmask='1111100', holidays=None, busdaycal=None, out=None):
+            return numpy.ndarray([0, 0])""",
+    "lexsort": """def lexsort(keys, axis=-1):
+            return numpy.ndarray([0, 0])""",
+    "may_share_memory": """def may_share_memory(a, b, max_work=None):
+            return True""",
+    # Not yet available because dtype is not yet present in those brains
+    #     "min_scalar_type": """def min_scalar_type(a):
+    #             return numpy.dtype('int16')""",
+    "packbits": """def packbits(a, axis=None, bitorder='big'):
+            return numpy.ndarray([0, 0])""",
+    # Not yet available because dtype is not yet present in those brains
+    #     "result_type": """def result_type(*arrays_and_dtypes):
+    #             return numpy.dtype('int16')""",
+    "shares_memory": """def shares_memory(a, b, max_work=None):
+            return True""",
+    "unpackbits": """def unpackbits(a, axis=None, count=None, bitorder='big'):
+            return numpy.ndarray([0, 0])""",
+    "unravel_index": """def unravel_index(indices, shape, order='C'):
+            return (numpy.ndarray([0, 0]),)""",
+    "zeros": """def zeros(shape, dtype=float, order='C'):
+            return numpy.ndarray([0, 0])""",
+}
+
+for method_name, function_src in METHODS_TO_BE_INFERRED.items():
+    inference_function = functools.partial(infer_numpy_member, function_src)
+    astroid.MANAGER.register_transform(
+        astroid.Attribute,
+        astroid.inference_tip(inference_function),
+        functools.partial(looks_like_numpy_member, method_name),
+    )
+    astroid.MANAGER.register_transform(
+        astroid.Name,
+        astroid.inference_tip(inference_function),
+        functools.partial(looks_like_numpy_member, method_name),
+    )

venv/lib/python3.8/site-packages/astroid/brain/brain_numpy_core_numeric.py

@@ -0,0 +1,43 @@
+# Copyright (c) 2019 hippo91 <guillaume.peillex@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+
+"""Astroid hooks for numpy.core.numeric module."""
+
+import functools
+import astroid
+from brain_numpy_utils import looks_like_numpy_member, infer_numpy_member
+
+
+def numpy_core_numeric_transform():
+    return astroid.parse(
+        """
+    # different functions defined in numeric.py
+    import numpy
+    def zeros_like(a, dtype=None, order='K', subok=True): return numpy.ndarray((0, 0))
+    def ones_like(a, dtype=None, order='K', subok=True): return numpy.ndarray((0, 0))
+    def full_like(a, fill_value, dtype=None, order='K', subok=True): return numpy.ndarray((0, 0))
+        """
+    )
+
+
+astroid.register_module_extender(
+    astroid.MANAGER, "numpy.core.numeric", numpy_core_numeric_transform
+)
+
+
+METHODS_TO_BE_INFERRED = {
+    "ones": """def ones(shape, dtype=None, order='C'):
+            return numpy.ndarray([0, 0])"""
+}
+
+
+for method_name, function_src in METHODS_TO_BE_INFERRED.items():
+    inference_function = functools.partial(infer_numpy_member, function_src)
+    astroid.MANAGER.register_transform(
+        astroid.Attribute,
+        astroid.inference_tip(inference_function),
+        functools.partial(looks_like_numpy_member, method_name),
+    )

venv/lib/python3.8/site-packages/astroid/brain/brain_numpy_core_numerictypes.py

@@ -0,0 +1,254 @@
+# Copyright (c) 2019-2020 hippo91 <guillaume.peillex@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+# TODO(hippo91) : correct the methods signature.
+
+"""Astroid hooks for numpy.core.numerictypes module."""
+
+import astroid
+
+
+def numpy_core_numerictypes_transform():
+    # TODO: Uniformize the generic API with the ndarray one.
+    #       According to numpy doc the generic object should expose
+    #       the same API than ndarray. This has been done here partially
+    #       through the astype method.
+    return astroid.parse(
+        """
+    # different types defined in numerictypes.py
+    class generic(object):
+        def __init__(self, value):
+            self.T = None
+            self.base = None
+            self.data = None
+            self.dtype = None
+            self.flags = None
+            self.flat = None
+            self.imag = None
+            self.itemsize = None
+            self.nbytes = None
+            self.ndim = None
+            self.real = None
+            self.size = None
+            self.strides = None
+
+        def all(self): return uninferable
+        def any(self): return uninferable
+        def argmax(self): return uninferable
+        def argmin(self): return uninferable
+        def argsort(self): return uninferable
+        def astype(self, dtype, order='K', casting='unsafe', subok=True, copy=True): return np.ndarray([0, 0])
+        def base(self): return uninferable
+        def byteswap(self): return uninferable
+        def choose(self): return uninferable
+        def clip(self): return uninferable
+        def compress(self): return uninferable
+        def conj(self): return uninferable
+        def conjugate(self): return uninferable
+        def copy(self): return uninferable
+        def cumprod(self): return uninferable
+        def cumsum(self): return uninferable
+        def data(self): return uninferable
+        def diagonal(self): return uninferable
+        def dtype(self): return uninferable
+        def dump(self): return uninferable
+        def dumps(self): return uninferable
+        def fill(self): return uninferable
+        def flags(self): return uninferable
+        def flat(self): return uninferable
+        def flatten(self): return uninferable
+        def getfield(self): return uninferable
+        def imag(self): return uninferable
+        def item(self): return uninferable
+        def itemset(self): return uninferable
+        def itemsize(self): return uninferable
+        def max(self): return uninferable
+        def mean(self): return uninferable
+        def min(self): return uninferable
+        def nbytes(self): return uninferable
+        def ndim(self): return uninferable
+        def newbyteorder(self): return uninferable
+        def nonzero(self): return uninferable
+        def prod(self): return uninferable
+        def ptp(self): return uninferable
+        def put(self): return uninferable
+        def ravel(self): return uninferable
+        def real(self): return uninferable
+        def repeat(self): return uninferable
+        def reshape(self): return uninferable
+        def resize(self): return uninferable
+        def round(self): return uninferable
+        def searchsorted(self): return uninferable
+        def setfield(self): return uninferable
+        def setflags(self): return uninferable
+        def shape(self): return uninferable
+        def size(self): return uninferable
+        def sort(self): return uninferable
+        def squeeze(self): return uninferable
+        def std(self): return uninferable
+        def strides(self): return uninferable
+        def sum(self): return uninferable
+        def swapaxes(self): return uninferable
+        def take(self): return uninferable
+        def tobytes(self): return uninferable
+        def tofile(self): return uninferable
+        def tolist(self): return uninferable
+        def tostring(self): return uninferable
+        def trace(self): return uninferable
+        def transpose(self): return uninferable
+        def var(self): return uninferable
+        def view(self): return uninferable
+
+
+    class dtype(object):
+        def __init__(self, obj, align=False, copy=False):
+            self.alignment = None
+            self.base = None
+            self.byteorder = None
+            self.char = None
+            self.descr = None
+            self.fields = None
+            self.flags = None
+            self.hasobject = None
+            self.isalignedstruct = None
+            self.isbuiltin = None
+            self.isnative = None
+            self.itemsize = None
+            self.kind = None
+            self.metadata = None
+            self.name = None
+            self.names = None
+            self.num = None
+            self.shape = None
+            self.str = None
+            self.subdtype = None
+            self.type = None
+
+        def newbyteorder(self, new_order='S'): return uninferable
+        def __neg__(self): return uninferable
+
+    class busdaycalendar(object):
+        def __init__(self, weekmask='1111100', holidays=None):
+            self.holidays = None
+            self.weekmask = None
+
+    class flexible(generic): pass
+    class bool_(generic): pass
+    class number(generic):
+        def __neg__(self): return uninferable
+    class datetime64(generic):
+        def __init__(self, nb, unit=None): pass
+
+
+    class void(flexible):
+        def __init__(self, *args, **kwargs):
+            self.base = None
+            self.dtype = None
+            self.flags = None
+        def getfield(self): return uninferable
+        def setfield(self): return uninferable
+
+
+    class character(flexible): pass
+
+
+    class integer(number):
+        def __init__(self, value):
+           self.denominator = None
+           self.numerator = None
+
+
+    class inexact(number): pass
+
+
+    class str_(str, character):
+        def maketrans(self, x, y=None, z=None): return uninferable
+
+
+    class bytes_(bytes, character):
+        def fromhex(self, string): return uninferable
+        def maketrans(self, frm, to): return uninferable
+
+
+    class signedinteger(integer): pass
+
+
+    class unsignedinteger(integer): pass
+
+
+    class complexfloating(inexact): pass
+
+
+    class floating(inexact): pass
+
+
+    class float64(floating, float):
+        def fromhex(self, string): return uninferable
+
+
+    class uint64(unsignedinteger): pass
+    class complex64(complexfloating): pass
+    class int16(signedinteger): pass
+    class float96(floating): pass
+    class int8(signedinteger): pass
+    class uint32(unsignedinteger): pass
+    class uint8(unsignedinteger): pass
+    class _typedict(dict): pass
+    class complex192(complexfloating): pass
+    class timedelta64(signedinteger):
+        def __init__(self, nb, unit=None): pass
+    class int32(signedinteger): pass
+    class uint16(unsignedinteger): pass
+    class float32(floating): pass
+    class complex128(complexfloating, complex): pass
+    class float16(floating): pass
+    class int64(signedinteger): pass
+
+    buffer_type = memoryview
+    bool8 = bool_
+    byte = int8
+    bytes0 = bytes_
+    cdouble = complex128
+    cfloat = complex128
+    clongdouble = complex192
+    clongfloat = complex192
+    complex_ = complex128
+    csingle = complex64
+    double = float64
+    float_ = float64
+    half = float16
+    int0 = int32
+    int_ = int32
+    intc = int32
+    intp = int32
+    long = int32
+    longcomplex = complex192
+    longdouble = float96
+    longfloat = float96
+    longlong = int64
+    object0 = object_
+    object_ = object_
+    short = int16
+    single = float32
+    singlecomplex = complex64
+    str0 = str_
+    string_ = bytes_
+    ubyte = uint8
+    uint = uint32
+    uint0 = uint32
+    uintc = uint32
+    uintp = uint32
+    ulonglong = uint64
+    unicode = str_
+    unicode_ = str_
+    ushort = uint16
+    void0 = void
+    """
+    )
+
+
+astroid.register_module_extender(
+    astroid.MANAGER, "numpy.core.numerictypes", numpy_core_numerictypes_transform
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_numpy_core_umath.py

@@ -0,0 +1,147 @@
+# Copyright (c) 2019 hippo91 <guillaume.peillex@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+
+"""Astroid hooks for numpy.core.umath module."""
+
+import astroid
+
+
+def numpy_core_umath_transform():
+    ufunc_optional_keyword_arguments = (
+        """out=None, where=True, casting='same_kind', order='K', """
+        """dtype=None, subok=True"""
+    )
+    return astroid.parse(
+        """
+    class FakeUfunc:
+        def __init__(self):
+            self.__doc__ = str()
+            self.__name__ = str()
+            self.nin = 0
+            self.nout = 0
+            self.nargs = 0
+            self.ntypes = 0
+            self.types = None
+            self.identity = None
+            self.signature = None
+
+        @classmethod
+        def reduce(cls, a, axis=None, dtype=None, out=None):
+            return numpy.ndarray([0, 0])
+
+        @classmethod
+        def accumulate(cls, array, axis=None, dtype=None, out=None):
+            return numpy.ndarray([0, 0])
+
+        @classmethod
+        def reduceat(cls, a, indices, axis=None, dtype=None, out=None):
+            return numpy.ndarray([0, 0])
+
+        @classmethod
+        def outer(cls, A, B, **kwargs):
+            return numpy.ndarray([0, 0])
+
+        @classmethod
+        def at(cls, a, indices, b=None):
+            return numpy.ndarray([0, 0])
+
+    class FakeUfuncOneArg(FakeUfunc):
+        def __call__(self, x, {opt_args:s}):
+            return numpy.ndarray([0, 0])
+
+    class FakeUfuncOneArgBis(FakeUfunc):
+        def __call__(self, x, {opt_args:s}):
+            return numpy.ndarray([0, 0]), numpy.ndarray([0, 0])
+
+    class FakeUfuncTwoArgs(FakeUfunc):
+        def __call__(self, x1, x2, {opt_args:s}):
+            return numpy.ndarray([0, 0])
+
+    # Constants
+    e = 2.718281828459045
+    euler_gamma = 0.5772156649015329
+
+    # One arg functions with optional kwargs
+    arccos = FakeUfuncOneArg()
+    arccosh = FakeUfuncOneArg()
+    arcsin = FakeUfuncOneArg()
+    arcsinh = FakeUfuncOneArg()
+    arctan = FakeUfuncOneArg()
+    arctanh = FakeUfuncOneArg()
+    cbrt = FakeUfuncOneArg()
+    conj = FakeUfuncOneArg()
+    conjugate = FakeUfuncOneArg()
+    cosh = FakeUfuncOneArg()
+    deg2rad = FakeUfuncOneArg()
+    exp2 = FakeUfuncOneArg()
+    expm1 = FakeUfuncOneArg()
+    fabs = FakeUfuncOneArg()
+    frexp = FakeUfuncOneArgBis()
+    isfinite = FakeUfuncOneArg()
+    isinf = FakeUfuncOneArg()
+    log = FakeUfuncOneArg()
+    log1p = FakeUfuncOneArg()
+    log2 = FakeUfuncOneArg()
+    logical_not = FakeUfuncOneArg()
+    modf = FakeUfuncOneArgBis()
+    negative = FakeUfuncOneArg()
+    positive = FakeUfuncOneArg()
+    rad2deg = FakeUfuncOneArg()
+    reciprocal = FakeUfuncOneArg()
+    rint = FakeUfuncOneArg()
+    sign = FakeUfuncOneArg()
+    signbit = FakeUfuncOneArg()
+    sinh = FakeUfuncOneArg()
+    spacing = FakeUfuncOneArg()
+    square = FakeUfuncOneArg()
+    tan = FakeUfuncOneArg()
+    tanh = FakeUfuncOneArg()
+    trunc = FakeUfuncOneArg()
+
+    # Two args functions with optional kwargs
+    bitwise_and = FakeUfuncTwoArgs()
+    bitwise_or = FakeUfuncTwoArgs()
+    bitwise_xor = FakeUfuncTwoArgs()
+    copysign = FakeUfuncTwoArgs()
+    divide = FakeUfuncTwoArgs()
+    divmod = FakeUfuncTwoArgs()
+    equal = FakeUfuncTwoArgs()
+    float_power = FakeUfuncTwoArgs()
+    floor_divide = FakeUfuncTwoArgs()
+    fmax = FakeUfuncTwoArgs()
+    fmin = FakeUfuncTwoArgs()
+    fmod = FakeUfuncTwoArgs()
+    greater = FakeUfuncTwoArgs()
+    gcd = FakeUfuncTwoArgs()
+    hypot = FakeUfuncTwoArgs()
+    heaviside = FakeUfuncTwoArgs()
+    lcm = FakeUfuncTwoArgs()
+    ldexp = FakeUfuncTwoArgs()
+    left_shift = FakeUfuncTwoArgs()
+    less = FakeUfuncTwoArgs()
+    logaddexp = FakeUfuncTwoArgs()
+    logaddexp2 = FakeUfuncTwoArgs()
+    logical_and = FakeUfuncTwoArgs()
+    logical_or = FakeUfuncTwoArgs()
+    logical_xor = FakeUfuncTwoArgs()
+    maximum = FakeUfuncTwoArgs()
+    minimum = FakeUfuncTwoArgs()
+    nextafter = FakeUfuncTwoArgs()
+    not_equal = FakeUfuncTwoArgs()
+    power = FakeUfuncTwoArgs()
+    remainder = FakeUfuncTwoArgs()
+    right_shift = FakeUfuncTwoArgs()
+    subtract = FakeUfuncTwoArgs()
+    true_divide = FakeUfuncTwoArgs()
+    """.format(
+            opt_args=ufunc_optional_keyword_arguments
+        )
+    )
+
+
+astroid.register_module_extender(
+    astroid.MANAGER, "numpy.core.umath", numpy_core_umath_transform
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_numpy_ndarray.py

@@ -0,0 +1,153 @@
+# Copyright (c) 2015-2016, 2018-2019 Claudiu Popa <pcmanticore@gmail.com>
+# Copyright (c) 2016 Ceridwen <ceridwenv@gmail.com>
+# Copyright (c) 2017-2020 hippo91 <guillaume.peillex@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+
+"""Astroid hooks for numpy ndarray class."""
+
+import functools
+import astroid
+
+
+def infer_numpy_ndarray(node, context=None):
+    ndarray = """
+    class ndarray(object):
+        def __init__(self, shape, dtype=float, buffer=None, offset=0,
+                     strides=None, order=None):
+            self.T = None
+            self.base = None
+            self.ctypes = None
+            self.data = None
+            self.dtype = None
+            self.flags = None
+            self.flat = None
+            self.imag = np.ndarray([0, 0])
+            self.itemsize = None
+            self.nbytes = None
+            self.ndim = None
+            self.real = np.ndarray([0, 0])
+            self.shape = numpy.ndarray([0, 0])
+            self.size = None
+            self.strides = None
+
+        def __abs__(self): return numpy.ndarray([0, 0])
+        def __add__(self, value): return numpy.ndarray([0, 0])
+        def __and__(self, value): return numpy.ndarray([0, 0])
+        def __array__(self, dtype=None): return numpy.ndarray([0, 0])
+        def __array_wrap__(self, obj): return numpy.ndarray([0, 0])
+        def __contains__(self, key): return True
+        def __copy__(self): return numpy.ndarray([0, 0])
+        def __deepcopy__(self, memo): return numpy.ndarray([0, 0])
+        def __divmod__(self, value): return (numpy.ndarray([0, 0]), numpy.ndarray([0, 0]))
+        def __eq__(self, value): return numpy.ndarray([0, 0])
+        def __float__(self): return 0.
+        def __floordiv__(self): return numpy.ndarray([0, 0])
+        def __ge__(self, value): return numpy.ndarray([0, 0])
+        def __getitem__(self, key): return uninferable
+        def __gt__(self, value): return numpy.ndarray([0, 0])
+        def __iadd__(self, value): return numpy.ndarray([0, 0])
+        def __iand__(self, value): return numpy.ndarray([0, 0])
+        def __ifloordiv__(self, value): return numpy.ndarray([0, 0])
+        def __ilshift__(self, value): return numpy.ndarray([0, 0])
+        def __imod__(self, value): return numpy.ndarray([0, 0])
+        def __imul__(self, value): return numpy.ndarray([0, 0])
+        def __int__(self): return 0
+        def __invert__(self): return numpy.ndarray([0, 0])
+        def __ior__(self, value): return numpy.ndarray([0, 0])
+        def __ipow__(self, value): return numpy.ndarray([0, 0])
+        def __irshift__(self, value): return numpy.ndarray([0, 0])
+        def __isub__(self, value): return numpy.ndarray([0, 0])
+        def __itruediv__(self, value): return numpy.ndarray([0, 0])
+        def __ixor__(self, value): return numpy.ndarray([0, 0])
+        def __le__(self, value): return numpy.ndarray([0, 0])
+        def __len__(self): return 1
+        def __lshift__(self, value): return numpy.ndarray([0, 0])
+        def __lt__(self, value): return numpy.ndarray([0, 0])
+        def __matmul__(self, value): return numpy.ndarray([0, 0])
+        def __mod__(self, value): return numpy.ndarray([0, 0])
+        def __mul__(self, value): return numpy.ndarray([0, 0])
+        def __ne__(self, value): return numpy.ndarray([0, 0])
+        def __neg__(self): return numpy.ndarray([0, 0])
+        def __or__(self): return numpy.ndarray([0, 0])
+        def __pos__(self): return numpy.ndarray([0, 0])
+        def __pow__(self): return numpy.ndarray([0, 0])
+        def __repr__(self): return str()
+        def __rshift__(self): return numpy.ndarray([0, 0])
+        def __setitem__(self, key, value): return uninferable
+        def __str__(self): return str()
+        def __sub__(self, value): return numpy.ndarray([0, 0])
+        def __truediv__(self, value): return numpy.ndarray([0, 0])
+        def __xor__(self, value): return numpy.ndarray([0, 0])
+        def all(self, axis=None, out=None, keepdims=False): return np.ndarray([0, 0])
+        def any(self, axis=None, out=None, keepdims=False): return np.ndarray([0, 0])
+        def argmax(self, axis=None, out=None): return np.ndarray([0, 0])
+        def argmin(self, axis=None, out=None): return np.ndarray([0, 0])
+        def argpartition(self, kth, axis=-1, kind='introselect', order=None): return np.ndarray([0, 0])
+        def argsort(self, axis=-1, kind='quicksort', order=None): return np.ndarray([0, 0])
+        def astype(self, dtype, order='K', casting='unsafe', subok=True, copy=True): return np.ndarray([0, 0])
+        def byteswap(self, inplace=False): return np.ndarray([0, 0])
+        def choose(self, choices, out=None, mode='raise'): return np.ndarray([0, 0])
+        def clip(self, min=None, max=None, out=None): return np.ndarray([0, 0])
+        def compress(self, condition, axis=None, out=None): return np.ndarray([0, 0])
+        def conj(self): return np.ndarray([0, 0])
+        def conjugate(self): return np.ndarray([0, 0])
+        def copy(self, order='C'): return np.ndarray([0, 0])
+        def cumprod(self, axis=None, dtype=None, out=None): return np.ndarray([0, 0])
+        def cumsum(self, axis=None, dtype=None, out=None): return np.ndarray([0, 0])
+        def diagonal(self, offset=0, axis1=0, axis2=1): return np.ndarray([0, 0])
+        def dot(self, b, out=None): return np.ndarray([0, 0])
+        def dump(self, file): return None
+        def dumps(self): return str()
+        def fill(self, value): return None
+        def flatten(self, order='C'): return np.ndarray([0, 0])
+        def getfield(self, dtype, offset=0): return np.ndarray([0, 0])
+        def item(self, *args): return uninferable
+        def itemset(self, *args): return None
+        def max(self, axis=None, out=None): return np.ndarray([0, 0])
+        def mean(self, axis=None, dtype=None, out=None, keepdims=False): return np.ndarray([0, 0])
+        def min(self, axis=None, out=None, keepdims=False): return np.ndarray([0, 0])
+        def newbyteorder(self, new_order='S'): return np.ndarray([0, 0])
+        def nonzero(self): return (1,)
+        def partition(self, kth, axis=-1, kind='introselect', order=None): return None
+        def prod(self, axis=None, dtype=None, out=None, keepdims=False): return np.ndarray([0, 0])
+        def ptp(self, axis=None, out=None): return np.ndarray([0, 0])
+        def put(self, indices, values, mode='raise'): return None
+        def ravel(self, order='C'): return np.ndarray([0, 0])
+        def repeat(self, repeats, axis=None): return np.ndarray([0, 0])
+        def reshape(self, shape, order='C'): return np.ndarray([0, 0])
+        def resize(self, new_shape, refcheck=True): return None
+        def round(self, decimals=0, out=None): return np.ndarray([0, 0])
+        def searchsorted(self, v, side='left', sorter=None): return np.ndarray([0, 0])
+        def setfield(self, val, dtype, offset=0): return None
+        def setflags(self, write=None, align=None, uic=None): return None
+        def sort(self, axis=-1, kind='quicksort', order=None): return None
+        def squeeze(self, axis=None): return np.ndarray([0, 0])
+        def std(self, axis=None, dtype=None, out=None, ddof=0, keepdims=False): return np.ndarray([0, 0])
+        def sum(self, axis=None, dtype=None, out=None, keepdims=False): return np.ndarray([0, 0])
+        def swapaxes(self, axis1, axis2): return np.ndarray([0, 0])
+        def take(self, indices, axis=None, out=None, mode='raise'): return np.ndarray([0, 0])
+        def tobytes(self, order='C'): return b''
+        def tofile(self, fid, sep="", format="%s"): return None
+        def tolist(self, ): return []
+        def tostring(self, order='C'): return b''
+        def trace(self, offset=0, axis1=0, axis2=1, dtype=None, out=None): return np.ndarray([0, 0])
+        def transpose(self, *axes): return np.ndarray([0, 0])
+        def var(self, axis=None, dtype=None, out=None, ddof=0, keepdims=False): return np.ndarray([0, 0])
+        def view(self, dtype=None, type=None): return np.ndarray([0, 0])
+    """
+    node = astroid.extract_node(ndarray)
+    return node.infer(context=context)
+
+
+def _looks_like_numpy_ndarray(node):
+    return isinstance(node, astroid.Attribute) and node.attrname == "ndarray"
+
+
+astroid.MANAGER.register_transform(
+    astroid.Attribute,
+    astroid.inference_tip(infer_numpy_ndarray),
+    _looks_like_numpy_ndarray,
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_numpy_random_mtrand.py

@@ -0,0 +1,70 @@
+# Copyright (c) 2019 hippo91 <guillaume.peillex@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+# TODO(hippo91) : correct the functions return types
+"""Astroid hooks for numpy.random.mtrand module."""
+
+import astroid
+
+
+def numpy_random_mtrand_transform():
+    return astroid.parse(
+        """
+    def beta(a, b, size=None): return uninferable
+    def binomial(n, p, size=None): return uninferable
+    def bytes(length): return uninferable
+    def chisquare(df, size=None): return uninferable
+    def choice(a, size=None, replace=True, p=None): return uninferable
+    def dirichlet(alpha, size=None): return uninferable
+    def exponential(scale=1.0, size=None): return uninferable
+    def f(dfnum, dfden, size=None): return uninferable
+    def gamma(shape, scale=1.0, size=None): return uninferable
+    def geometric(p, size=None): return uninferable
+    def get_state(): return uninferable
+    def gumbel(loc=0.0, scale=1.0, size=None): return uninferable
+    def hypergeometric(ngood, nbad, nsample, size=None): return uninferable
+    def laplace(loc=0.0, scale=1.0, size=None): return uninferable
+    def logistic(loc=0.0, scale=1.0, size=None): return uninferable
+    def lognormal(mean=0.0, sigma=1.0, size=None): return uninferable
+    def logseries(p, size=None): return uninferable
+    def multinomial(n, pvals, size=None): return uninferable
+    def multivariate_normal(mean, cov, size=None): return uninferable
+    def negative_binomial(n, p, size=None): return uninferable
+    def noncentral_chisquare(df, nonc, size=None): return uninferable
+    def noncentral_f(dfnum, dfden, nonc, size=None): return uninferable
+    def normal(loc=0.0, scale=1.0, size=None): return uninferable
+    def pareto(a, size=None): return uninferable
+    def permutation(x): return uninferable
+    def poisson(lam=1.0, size=None): return uninferable
+    def power(a, size=None): return uninferable
+    def rand(*args): return uninferable
+    def randint(low, high=None, size=None, dtype='l'):
+        import numpy
+        return numpy.ndarray((1,1))
+    def randn(*args): return uninferable
+    def random_integers(low, high=None, size=None): return uninferable
+    def random_sample(size=None): return uninferable
+    def rayleigh(scale=1.0, size=None): return uninferable
+    def seed(seed=None): return uninferable
+    def set_state(state): return uninferable
+    def shuffle(x): return uninferable
+    def standard_cauchy(size=None): return uninferable
+    def standard_exponential(size=None): return uninferable
+    def standard_gamma(shape, size=None): return uninferable
+    def standard_normal(size=None): return uninferable
+    def standard_t(df, size=None): return uninferable
+    def triangular(left, mode, right, size=None): return uninferable
+    def uniform(low=0.0, high=1.0, size=None): return uninferable
+    def vonmises(mu, kappa, size=None): return uninferable
+    def wald(mean, scale, size=None): return uninferable
+    def weibull(a, size=None): return uninferable
+    def zipf(a, size=None): return uninferable
+    """
+    )
+
+
+astroid.register_module_extender(
+    astroid.MANAGER, "numpy.random.mtrand", numpy_random_mtrand_transform
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_numpy_utils.py

@@ -0,0 +1,65 @@
+# Copyright (c) 2019-2020 hippo91 <guillaume.peillex@gmail.com>
+# Copyright (c) 2019 Claudiu Popa <pcmanticore@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+
+"""Different utilities for the numpy brains"""
+
+
+import astroid
+
+
+def infer_numpy_member(src, node, context=None):
+    node = astroid.extract_node(src)
+    return node.infer(context=context)
+
+
+def _is_a_numpy_module(node: astroid.node_classes.Name) -> bool:
+    """
+    Returns True if the node is a representation of a numpy module.
+
+    For example in :
+        import numpy as np
+        x = np.linspace(1, 2)
+    The node <Name.np> is a representation of the numpy module.
+
+    :param node: node to test
+    :return: True if the node is a representation of the numpy module.
+    """
+    module_nickname = node.name
+    potential_import_target = [
+        x for x in node.lookup(module_nickname)[1] if isinstance(x, astroid.Import)
+    ]
+    for target in potential_import_target:
+        if ("numpy", module_nickname) in target.names:
+            return True
+    return False
+
+
+def looks_like_numpy_member(
+    member_name: str, node: astroid.node_classes.NodeNG
+) -> bool:
+    """
+    Returns True if the node is a member of numpy whose
+    name is member_name.
+
+    :param member_name: name of the member
+    :param node: node to test
+    :return: True if the node is a member of numpy
+    """
+    if (
+        isinstance(node, astroid.Attribute)
+        and node.attrname == member_name
+        and isinstance(node.expr, astroid.Name)
+        and _is_a_numpy_module(node.expr)
+    ):
+        return True
+    if (
+        isinstance(node, astroid.Name)
+        and node.name == member_name
+        and node.root().name.startswith("numpy")
+    ):
+        return True
+    return False

venv/lib/python3.8/site-packages/astroid/brain/brain_pkg_resources.py

@@ -0,0 +1,75 @@
+# Copyright (c) 2016, 2018 Claudiu Popa <pcmanticore@gmail.com>
+# Copyright (c) 2016 Ceridwen <ceridwenv@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+
+import astroid
+from astroid import parse
+from astroid import inference_tip
+from astroid import register_module_extender
+from astroid import MANAGER
+
+
+def pkg_resources_transform():
+    return parse(
+        """
+def require(*requirements):
+    return pkg_resources.working_set.require(*requirements)
+
+def run_script(requires, script_name):
+    return pkg_resources.working_set.run_script(requires, script_name)
+
+def iter_entry_points(group, name=None):
+    return pkg_resources.working_set.iter_entry_points(group, name)
+
+def resource_exists(package_or_requirement, resource_name):
+    return get_provider(package_or_requirement).has_resource(resource_name)
+
+def resource_isdir(package_or_requirement, resource_name):
+    return get_provider(package_or_requirement).resource_isdir(
+        resource_name)
+
+def resource_filename(package_or_requirement, resource_name):
+    return get_provider(package_or_requirement).get_resource_filename(
+        self, resource_name)
+
+def resource_stream(package_or_requirement, resource_name):
+    return get_provider(package_or_requirement).get_resource_stream(
+        self, resource_name)
+
+def resource_string(package_or_requirement, resource_name):
+    return get_provider(package_or_requirement).get_resource_string(
+        self, resource_name)
+
+def resource_listdir(package_or_requirement, resource_name):
+    return get_provider(package_or_requirement).resource_listdir(
+        resource_name)
+
+def extraction_error():
+    pass
+
+def get_cache_path(archive_name, names=()):
+    extract_path = self.extraction_path or get_default_cache()
+    target_path = os.path.join(extract_path, archive_name+'-tmp', *names)
+    return target_path
+
+def postprocess(tempname, filename):
+    pass
+
+def set_extraction_path(path):
+    pass
+
+def cleanup_resources(force=False):
+    pass
+
+def get_distribution(dist):
+    return Distribution(dist)
+
+_namespace_packages = {}
+"""
+    )
+
+
+register_module_extender(MANAGER, "pkg_resources", pkg_resources_transform)

venv/lib/python3.8/site-packages/astroid/brain/brain_pytest.py

@@ -0,0 +1,88 @@
+# Copyright (c) 2014-2016, 2018 Claudiu Popa <pcmanticore@gmail.com>
+# Copyright (c) 2014 Jeff Quast <contact@jeffquast.com>
+# Copyright (c) 2014 Google, Inc.
+# Copyright (c) 2016 Florian Bruhin <me@the-compiler.org>
+# Copyright (c) 2016 Ceridwen <ceridwenv@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+"""Astroid hooks for pytest."""
+from __future__ import absolute_import
+from astroid import MANAGER, register_module_extender
+from astroid.builder import AstroidBuilder
+
+
+def pytest_transform():
+    return AstroidBuilder(MANAGER).string_build(
+        """
+
+try:
+    import _pytest.mark
+    import _pytest.recwarn
+    import _pytest.runner
+    import _pytest.python
+    import _pytest.skipping
+    import _pytest.assertion
+except ImportError:
+    pass
+else:
+    deprecated_call = _pytest.recwarn.deprecated_call
+    warns = _pytest.recwarn.warns
+
+    exit = _pytest.runner.exit
+    fail = _pytest.runner.fail
+    skip = _pytest.runner.skip
+    importorskip = _pytest.runner.importorskip
+
+    xfail = _pytest.skipping.xfail
+    mark = _pytest.mark.MarkGenerator()
+    raises = _pytest.python.raises
+
+    # New in pytest 3.0
+    try:
+        approx = _pytest.python.approx
+        register_assert_rewrite = _pytest.assertion.register_assert_rewrite
+    except AttributeError:
+        pass
+
+
+# Moved in pytest 3.0
+
+try:
+    import _pytest.freeze_support
+    freeze_includes = _pytest.freeze_support.freeze_includes
+except ImportError:
+    try:
+        import _pytest.genscript
+        freeze_includes = _pytest.genscript.freeze_includes
+    except ImportError:
+        pass
+
+try:
+    import _pytest.debugging
+    set_trace = _pytest.debugging.pytestPDB().set_trace
+except ImportError:
+    try:
+        import _pytest.pdb
+        set_trace = _pytest.pdb.pytestPDB().set_trace
+    except ImportError:
+        pass
+
+try:
+    import _pytest.fixtures
+    fixture = _pytest.fixtures.fixture
+    yield_fixture = _pytest.fixtures.yield_fixture
+except ImportError:
+    try:
+        import _pytest.python
+        fixture = _pytest.python.fixture
+        yield_fixture = _pytest.python.yield_fixture
+    except ImportError:
+        pass
+"""
+    )
+
+
+register_module_extender(MANAGER, "pytest", pytest_transform)
+register_module_extender(MANAGER, "py.test", pytest_transform)

venv/lib/python3.8/site-packages/astroid/brain/brain_qt.py

@@ -0,0 +1,83 @@
+# Copyright (c) 2015-2016, 2018 Claudiu Popa <pcmanticore@gmail.com>
+# Copyright (c) 2016 Ceridwen <ceridwenv@gmail.com>
+# Copyright (c) 2017 Roy Wright <roy@wright.org>
+# Copyright (c) 2018 Ashley Whetter <ashley@awhetter.co.uk>
+# Copyright (c) 2019 Antoine Boellinger <aboellinger@hotmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+"""Astroid hooks for the PyQT library."""
+
+from astroid import MANAGER, register_module_extender
+from astroid.builder import AstroidBuilder
+from astroid import nodes
+from astroid import parse
+
+
+def _looks_like_signal(node, signal_name="pyqtSignal"):
+    if "__class__" in node.instance_attrs:
+        try:
+            cls = node.instance_attrs["__class__"][0]
+            return cls.name == signal_name
+        except AttributeError:
+            # return False if the cls does not have a name attribute
+            pass
+    return False
+
+
+def transform_pyqt_signal(node):
+    module = parse(
+        """
+    class pyqtSignal(object):
+        def connect(self, slot, type=None, no_receiver_check=False):
+            pass
+        def disconnect(self, slot):
+            pass
+        def emit(self, *args):
+            pass
+    """
+    )
+    signal_cls = module["pyqtSignal"]
+    node.instance_attrs["emit"] = signal_cls["emit"]
+    node.instance_attrs["disconnect"] = signal_cls["disconnect"]
+    node.instance_attrs["connect"] = signal_cls["connect"]
+
+
+def transform_pyside_signal(node):
+    module = parse(
+        """
+    class NotPySideSignal(object):
+        def connect(self, receiver, type=None):
+            pass
+        def disconnect(self, receiver):
+            pass
+        def emit(self, *args):
+            pass
+    """
+    )
+    signal_cls = module["NotPySideSignal"]
+    node.instance_attrs["connect"] = signal_cls["connect"]
+    node.instance_attrs["disconnect"] = signal_cls["disconnect"]
+    node.instance_attrs["emit"] = signal_cls["emit"]
+
+
+def pyqt4_qtcore_transform():
+    return AstroidBuilder(MANAGER).string_build(
+        """
+
+def SIGNAL(signal_name): pass
+
+class QObject(object):
+    def emit(self, signal): pass
+"""
+    )
+
+
+register_module_extender(MANAGER, "PyQt4.QtCore", pyqt4_qtcore_transform)
+MANAGER.register_transform(nodes.FunctionDef, transform_pyqt_signal, _looks_like_signal)
+MANAGER.register_transform(
+    nodes.ClassDef,
+    transform_pyside_signal,
+    lambda node: node.qname() in ("PySide.QtCore.Signal", "PySide2.QtCore.Signal"),
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_random.py

@@ -0,0 +1,75 @@
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+import random
+
+import astroid
+from astroid import helpers
+from astroid import MANAGER
+
+
+ACCEPTED_ITERABLES_FOR_SAMPLE = (astroid.List, astroid.Set, astroid.Tuple)
+
+
+def _clone_node_with_lineno(node, parent, lineno):
+    cls = node.__class__
+    other_fields = node._other_fields
+    _astroid_fields = node._astroid_fields
+    init_params = {"lineno": lineno, "col_offset": node.col_offset, "parent": parent}
+    postinit_params = {param: getattr(node, param) for param in _astroid_fields}
+    if other_fields:
+        init_params.update({param: getattr(node, param) for param in other_fields})
+    new_node = cls(**init_params)
+    if hasattr(node, "postinit") and _astroid_fields:
+        new_node.postinit(**postinit_params)
+    return new_node
+
+
+def infer_random_sample(node, context=None):
+    if len(node.args) != 2:
+        raise astroid.UseInferenceDefault
+
+    length = node.args[1]
+    if not isinstance(length, astroid.Const):
+        raise astroid.UseInferenceDefault
+    if not isinstance(length.value, int):
+        raise astroid.UseInferenceDefault
+
+    inferred_sequence = helpers.safe_infer(node.args[0], context=context)
+    if not inferred_sequence:
+        raise astroid.UseInferenceDefault
+
+    if not isinstance(inferred_sequence, ACCEPTED_ITERABLES_FOR_SAMPLE):
+        raise astroid.UseInferenceDefault
+
+    if length.value > len(inferred_sequence.elts):
+        # In this case, this will raise a ValueError
+        raise astroid.UseInferenceDefault
+
+    try:
+        elts = random.sample(inferred_sequence.elts, length.value)
+    except ValueError:
+        raise astroid.UseInferenceDefault
+
+    new_node = astroid.List(
+        lineno=node.lineno, col_offset=node.col_offset, parent=node.scope()
+    )
+    new_elts = [
+        _clone_node_with_lineno(elt, parent=new_node, lineno=new_node.lineno)
+        for elt in elts
+    ]
+    new_node.postinit(new_elts)
+    return iter((new_node,))
+
+
+def _looks_like_random_sample(node):
+    func = node.func
+    if isinstance(func, astroid.Attribute):
+        return func.attrname == "sample"
+    if isinstance(func, astroid.Name):
+        return func.name == "sample"
+    return False
+
+
+MANAGER.register_transform(
+    astroid.Call, astroid.inference_tip(infer_random_sample), _looks_like_random_sample
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_re.py

@@ -0,0 +1,36 @@
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+import sys
+import astroid
+
+PY36 = sys.version_info >= (3, 6)
+
+if PY36:
+    # Since Python 3.6 there is the RegexFlag enum
+    # where every entry will be exposed via updating globals()
+
+    def _re_transform():
+        return astroid.parse(
+            """
+        import sre_compile
+        ASCII = sre_compile.SRE_FLAG_ASCII
+        IGNORECASE = sre_compile.SRE_FLAG_IGNORECASE
+        LOCALE = sre_compile.SRE_FLAG_LOCALE
+        UNICODE = sre_compile.SRE_FLAG_UNICODE
+        MULTILINE = sre_compile.SRE_FLAG_MULTILINE
+        DOTALL = sre_compile.SRE_FLAG_DOTALL
+        VERBOSE = sre_compile.SRE_FLAG_VERBOSE
+        A = ASCII
+        I = IGNORECASE
+        L = LOCALE
+        U = UNICODE
+        M = MULTILINE
+        S = DOTALL
+        X = VERBOSE
+        TEMPLATE = sre_compile.SRE_FLAG_TEMPLATE
+        T = TEMPLATE
+        DEBUG = sre_compile.SRE_FLAG_DEBUG
+        """
+        )
+
+    astroid.register_module_extender(astroid.MANAGER, "re", _re_transform)

venv/lib/python3.8/site-packages/astroid/brain/brain_responses.py

@@ -0,0 +1,73 @@
+"""
+Astroid hooks for responses.
+
+It might need to be manually updated from the public methods of
+:class:`responses.RequestsMock`.
+
+See: https://github.com/getsentry/responses/blob/master/responses.py
+
+"""
+import astroid
+
+
+def responses_funcs():
+    return astroid.parse(
+        """
+        DELETE = "DELETE"
+        GET = "GET"
+        HEAD = "HEAD"
+        OPTIONS = "OPTIONS"
+        PATCH = "PATCH"
+        POST = "POST"
+        PUT = "PUT"
+        response_callback = None
+
+        def reset():
+            return
+
+        def add(
+            method=None,  # method or ``Response``
+            url=None,
+            body="",
+            adding_headers=None,
+            *args,
+            **kwargs
+        ):
+            return
+
+        def add_passthru(prefix):
+            return
+
+        def remove(method_or_response=None, url=None):
+            return
+
+        def replace(method_or_response=None, url=None, body="", *args, **kwargs):
+            return
+
+        def add_callback(
+            method, url, callback, match_querystring=False, content_type="text/plain"
+        ):
+            return
+
+        calls = []
+
+        def __enter__():
+            return
+
+        def __exit__(type, value, traceback):
+            success = type is None
+            return success
+
+        def activate(func):
+            return func
+
+        def start():
+            return
+
+        def stop(allow_assert=True):
+            return
+        """
+    )
+
+
+astroid.register_module_extender(astroid.MANAGER, "responses", responses_funcs)

venv/lib/python3.8/site-packages/astroid/brain/brain_scipy_signal.py

@@ -0,0 +1,89 @@
+# Copyright (c) 2019 Valentin Valls <valentin.valls@esrf.fr>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+
+"""Astroid hooks for scipy.signal module."""
+
+import astroid
+
+
+def scipy_signal():
+    return astroid.parse(
+        """
+    # different functions defined in scipy.signals
+
+    def barthann(M, sym=True):
+        return numpy.ndarray([0])
+
+    def bartlett(M, sym=True):
+        return numpy.ndarray([0])
+
+    def blackman(M, sym=True):
+        return numpy.ndarray([0])
+
+    def blackmanharris(M, sym=True):
+        return numpy.ndarray([0])
+
+    def bohman(M, sym=True):
+        return numpy.ndarray([0])
+
+    def boxcar(M, sym=True):
+        return numpy.ndarray([0])
+
+    def chebwin(M, at, sym=True):
+        return numpy.ndarray([0])
+
+    def cosine(M, sym=True):
+        return numpy.ndarray([0])
+
+    def exponential(M, center=None, tau=1.0, sym=True):
+        return numpy.ndarray([0])
+
+    def flattop(M, sym=True):
+        return numpy.ndarray([0])
+
+    def gaussian(M, std, sym=True):
+        return numpy.ndarray([0])
+
+    def general_gaussian(M, p, sig, sym=True):
+        return numpy.ndarray([0])
+
+    def hamming(M, sym=True):
+        return numpy.ndarray([0])
+
+    def hann(M, sym=True):
+        return numpy.ndarray([0])
+
+    def hanning(M, sym=True):
+        return numpy.ndarray([0])
+
+    def impulse2(system, X0=None, T=None, N=None, **kwargs):
+        return numpy.ndarray([0]), numpy.ndarray([0])
+
+    def kaiser(M, beta, sym=True):
+        return numpy.ndarray([0])
+
+    def nuttall(M, sym=True):
+        return numpy.ndarray([0])
+
+    def parzen(M, sym=True):
+        return numpy.ndarray([0])
+
+    def slepian(M, width, sym=True):
+        return numpy.ndarray([0])
+
+    def step2(system, X0=None, T=None, N=None, **kwargs):
+        return numpy.ndarray([0]), numpy.ndarray([0])
+
+    def triang(M, sym=True):
+        return numpy.ndarray([0])
+
+    def tukey(M, alpha=0.5, sym=True):
+        return numpy.ndarray([0])
+        """
+    )
+
+
+astroid.register_module_extender(astroid.MANAGER, "scipy.signal", scipy_signal)

venv/lib/python3.8/site-packages/astroid/brain/brain_six.py

@@ -0,0 +1,201 @@
+# Copyright (c) 2014-2016, 2018, 2020 Claudiu Popa <pcmanticore@gmail.com>
+# Copyright (c) 2015-2016 Ceridwen <ceridwenv@gmail.com>
+# Copyright (c) 2018 Bryce Guinta <bryce.paul.guinta@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+
+"""Astroid hooks for six module."""
+
+from textwrap import dedent
+
+from astroid import MANAGER, register_module_extender
+from astroid.builder import AstroidBuilder
+from astroid.exceptions import (
+    AstroidBuildingError,
+    InferenceError,
+    AttributeInferenceError,
+)
+from astroid import nodes
+
+
+SIX_ADD_METACLASS = "six.add_metaclass"
+
+
+def _indent(text, prefix, predicate=None):
+    """Adds 'prefix' to the beginning of selected lines in 'text'.
+
+    If 'predicate' is provided, 'prefix' will only be added to the lines
+    where 'predicate(line)' is True. If 'predicate' is not provided,
+    it will default to adding 'prefix' to all non-empty lines that do not
+    consist solely of whitespace characters.
+    """
+    if predicate is None:
+        predicate = lambda line: line.strip()
+
+    def prefixed_lines():
+        for line in text.splitlines(True):
+            yield prefix + line if predicate(line) else line
+
+    return "".join(prefixed_lines())
+
+
+_IMPORTS = """
+import _io
+cStringIO = _io.StringIO
+filter = filter
+from itertools import filterfalse
+input = input
+from sys import intern
+map = map
+range = range
+from importlib import reload
+reload_module = lambda module: reload(module)
+from functools import reduce
+from shlex import quote as shlex_quote
+from io import StringIO
+from collections import UserDict, UserList, UserString
+xrange = range
+zip = zip
+from itertools import zip_longest
+import builtins
+import configparser
+import copyreg
+import _dummy_thread
+import http.cookiejar as http_cookiejar
+import http.cookies as http_cookies
+import html.entities as html_entities
+import html.parser as html_parser
+import http.client as http_client
+import http.server as http_server
+BaseHTTPServer = CGIHTTPServer = SimpleHTTPServer = http.server
+import pickle as cPickle
+import queue
+import reprlib
+import socketserver
+import _thread
+import winreg
+import xmlrpc.server as xmlrpc_server
+import xmlrpc.client as xmlrpc_client
+import urllib.robotparser as urllib_robotparser
+import email.mime.multipart as email_mime_multipart
+import email.mime.nonmultipart as email_mime_nonmultipart
+import email.mime.text as email_mime_text
+import email.mime.base as email_mime_base
+import urllib.parse as urllib_parse
+import urllib.error as urllib_error
+import tkinter
+import tkinter.dialog as tkinter_dialog
+import tkinter.filedialog as tkinter_filedialog
+import tkinter.scrolledtext as tkinter_scrolledtext
+import tkinter.simpledialog as tkinder_simpledialog
+import tkinter.tix as tkinter_tix
+import tkinter.ttk as tkinter_ttk
+import tkinter.constants as tkinter_constants
+import tkinter.dnd as tkinter_dnd
+import tkinter.colorchooser as tkinter_colorchooser
+import tkinter.commondialog as tkinter_commondialog
+import tkinter.filedialog as tkinter_tkfiledialog
+import tkinter.font as tkinter_font
+import tkinter.messagebox as tkinter_messagebox
+import urllib
+import urllib.request as urllib_request
+import urllib.robotparser as urllib_robotparser
+import urllib.parse as urllib_parse
+import urllib.error as urllib_error
+"""
+
+
+def six_moves_transform():
+    code = dedent(
+        """
+    class Moves(object):
+    {}
+    moves = Moves()
+    """
+    ).format(_indent(_IMPORTS, "    "))
+    module = AstroidBuilder(MANAGER).string_build(code)
+    module.name = "six.moves"
+    return module
+
+
+def _six_fail_hook(modname):
+    """Fix six.moves imports due to the dynamic nature of this
+    class.
+
+    Construct a pseudo-module which contains all the necessary imports
+    for six
+
+    :param modname: Name of failed module
+    :type modname: str
+
+    :return: An astroid module
+    :rtype: nodes.Module
+    """
+
+    attribute_of = modname != "six.moves" and modname.startswith("six.moves")
+    if modname != "six.moves" and not attribute_of:
+        raise AstroidBuildingError(modname=modname)
+    module = AstroidBuilder(MANAGER).string_build(_IMPORTS)
+    module.name = "six.moves"
+    if attribute_of:
+        # Facilitate import of submodules in Moves
+        start_index = len(module.name)
+        attribute = modname[start_index:].lstrip(".").replace(".", "_")
+        try:
+            import_attr = module.getattr(attribute)[0]
+        except AttributeInferenceError:
+            raise AstroidBuildingError(modname=modname)
+        if isinstance(import_attr, nodes.Import):
+            submodule = MANAGER.ast_from_module_name(import_attr.names[0][0])
+            return submodule
+    # Let dummy submodule imports pass through
+    # This will cause an Uninferable result, which is okay
+    return module
+
+
+def _looks_like_decorated_with_six_add_metaclass(node):
+    if not node.decorators:
+        return False
+
+    for decorator in node.decorators.nodes:
+        if not isinstance(decorator, nodes.Call):
+            continue
+        if decorator.func.as_string() == SIX_ADD_METACLASS:
+            return True
+    return False
+
+
+def transform_six_add_metaclass(node):
+    """Check if the given class node is decorated with *six.add_metaclass*
+
+    If so, inject its argument as the metaclass of the underlying class.
+    """
+    if not node.decorators:
+        return
+
+    for decorator in node.decorators.nodes:
+        if not isinstance(decorator, nodes.Call):
+            continue
+
+        try:
+            func = next(decorator.func.infer())
+        except InferenceError:
+            continue
+        if func.qname() == SIX_ADD_METACLASS and decorator.args:
+            metaclass = decorator.args[0]
+            node._metaclass = metaclass
+            return node
+
+
+register_module_extender(MANAGER, "six", six_moves_transform)
+register_module_extender(
+    MANAGER, "requests.packages.urllib3.packages.six", six_moves_transform
+)
+MANAGER.register_failed_import_hook(_six_fail_hook)
+MANAGER.register_transform(
+    nodes.ClassDef,
+    transform_six_add_metaclass,
+    _looks_like_decorated_with_six_add_metaclass,
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_ssl.py

@@ -0,0 +1,75 @@
+# Copyright (c) 2016, 2018 Claudiu Popa <pcmanticore@gmail.com>
+# Copyright (c) 2016 Ceridwen <ceridwenv@gmail.com>
+# Copyright (c) 2019 Benjamin Elven <25181435+S3ntinelX@users.noreply.github.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+"""Astroid hooks for the ssl library."""
+
+from astroid import MANAGER, register_module_extender
+from astroid.builder import AstroidBuilder
+from astroid import nodes
+from astroid import parse
+
+
+def ssl_transform():
+    return parse(
+        """
+    from _ssl import OPENSSL_VERSION_NUMBER, OPENSSL_VERSION_INFO, OPENSSL_VERSION
+    from _ssl import _SSLContext, MemoryBIO
+    from _ssl import (
+        SSLError, SSLZeroReturnError, SSLWantReadError, SSLWantWriteError,
+        SSLSyscallError, SSLEOFError,
+        )
+    from _ssl import CERT_NONE, CERT_OPTIONAL, CERT_REQUIRED
+    from _ssl import txt2obj as _txt2obj, nid2obj as _nid2obj
+    from _ssl import RAND_status, RAND_add, RAND_bytes, RAND_pseudo_bytes
+    try:
+        from _ssl import RAND_egd
+    except ImportError:
+        # LibreSSL does not provide RAND_egd
+        pass
+    from _ssl import (OP_ALL, OP_CIPHER_SERVER_PREFERENCE,
+                      OP_NO_COMPRESSION, OP_NO_SSLv2, OP_NO_SSLv3,
+                      OP_NO_TLSv1, OP_NO_TLSv1_1, OP_NO_TLSv1_2,
+                      OP_SINGLE_DH_USE, OP_SINGLE_ECDH_USE)
+
+    from _ssl import (ALERT_DESCRIPTION_ACCESS_DENIED, ALERT_DESCRIPTION_BAD_CERTIFICATE,
+                      ALERT_DESCRIPTION_BAD_CERTIFICATE_HASH_VALUE,
+                      ALERT_DESCRIPTION_BAD_CERTIFICATE_STATUS_RESPONSE,
+                      ALERT_DESCRIPTION_BAD_RECORD_MAC,
+                      ALERT_DESCRIPTION_CERTIFICATE_EXPIRED,
+                      ALERT_DESCRIPTION_CERTIFICATE_REVOKED,
+                      ALERT_DESCRIPTION_CERTIFICATE_UNKNOWN,
+                      ALERT_DESCRIPTION_CERTIFICATE_UNOBTAINABLE,
+                      ALERT_DESCRIPTION_CLOSE_NOTIFY, ALERT_DESCRIPTION_DECODE_ERROR,
+                      ALERT_DESCRIPTION_DECOMPRESSION_FAILURE,
+                      ALERT_DESCRIPTION_DECRYPT_ERROR,
+                      ALERT_DESCRIPTION_HANDSHAKE_FAILURE,
+                      ALERT_DESCRIPTION_ILLEGAL_PARAMETER,
+                      ALERT_DESCRIPTION_INSUFFICIENT_SECURITY,
+                      ALERT_DESCRIPTION_INTERNAL_ERROR,
+                      ALERT_DESCRIPTION_NO_RENEGOTIATION,
+                      ALERT_DESCRIPTION_PROTOCOL_VERSION,
+                      ALERT_DESCRIPTION_RECORD_OVERFLOW,
+                      ALERT_DESCRIPTION_UNEXPECTED_MESSAGE,
+                      ALERT_DESCRIPTION_UNKNOWN_CA,
+                      ALERT_DESCRIPTION_UNKNOWN_PSK_IDENTITY,
+                      ALERT_DESCRIPTION_UNRECOGNIZED_NAME,
+                      ALERT_DESCRIPTION_UNSUPPORTED_CERTIFICATE,
+                      ALERT_DESCRIPTION_UNSUPPORTED_EXTENSION,
+                      ALERT_DESCRIPTION_USER_CANCELLED)
+    from _ssl import (SSL_ERROR_EOF, SSL_ERROR_INVALID_ERROR_CODE, SSL_ERROR_SSL,
+                      SSL_ERROR_SYSCALL, SSL_ERROR_WANT_CONNECT, SSL_ERROR_WANT_READ,
+                      SSL_ERROR_WANT_WRITE, SSL_ERROR_WANT_X509_LOOKUP, SSL_ERROR_ZERO_RETURN)
+    from _ssl import VERIFY_CRL_CHECK_CHAIN, VERIFY_CRL_CHECK_LEAF, VERIFY_DEFAULT, VERIFY_X509_STRICT
+    from _ssl import HAS_SNI, HAS_ECDH, HAS_NPN, HAS_ALPN
+    from _ssl import _OPENSSL_API_VERSION
+    from _ssl import PROTOCOL_SSLv23, PROTOCOL_TLSv1, PROTOCOL_TLSv1_1, PROTOCOL_TLSv1_2
+    from _ssl import PROTOCOL_TLS, PROTOCOL_TLS_CLIENT, PROTOCOL_TLS_SERVER
+    """
+    )
+
+
+register_module_extender(MANAGER, "ssl", ssl_transform)

venv/lib/python3.8/site-packages/astroid/brain/brain_subprocess.py

@@ -0,0 +1,146 @@
+# Copyright (c) 2016-2020 Claudiu Popa <pcmanticore@gmail.com>
+# Copyright (c) 2017 Hugo <hugovk@users.noreply.github.com>
+# Copyright (c) 2018 Peter Talley <peterctalley@gmail.com>
+# Copyright (c) 2018 Bryce Guinta <bryce.paul.guinta@gmail.com>
+# Copyright (c) 2019 Hugo van Kemenade <hugovk@users.noreply.github.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+import sys
+import textwrap
+
+import astroid
+
+
+PY37 = sys.version_info >= (3, 7)
+PY36 = sys.version_info >= (3, 6)
+
+
+def _subprocess_transform():
+    communicate = (bytes("string", "ascii"), bytes("string", "ascii"))
+    communicate_signature = "def communicate(self, input=None, timeout=None)"
+    if PY37:
+        init = """
+        def __init__(self, args, bufsize=0, executable=None,
+                     stdin=None, stdout=None, stderr=None,
+                     preexec_fn=None, close_fds=False, shell=False,
+                     cwd=None, env=None, universal_newlines=False,
+                     startupinfo=None, creationflags=0, restore_signals=True,
+                     start_new_session=False, pass_fds=(), *,
+                     encoding=None, errors=None, text=None):
+            pass
+        """
+    elif PY36:
+        init = """
+        def __init__(self, args, bufsize=0, executable=None,
+                     stdin=None, stdout=None, stderr=None,
+                     preexec_fn=None, close_fds=False, shell=False,
+                     cwd=None, env=None, universal_newlines=False,
+                     startupinfo=None, creationflags=0, restore_signals=True,
+                     start_new_session=False, pass_fds=(), *,
+                     encoding=None, errors=None):
+            pass
+        """
+    else:
+        init = """
+        def __init__(self, args, bufsize=0, executable=None,
+                     stdin=None, stdout=None, stderr=None,
+                     preexec_fn=None, close_fds=False, shell=False,
+                     cwd=None, env=None, universal_newlines=False,
+                     startupinfo=None, creationflags=0, restore_signals=True,
+                     start_new_session=False, pass_fds=()):
+            pass
+        """
+    wait_signature = "def wait(self, timeout=None)"
+    ctx_manager = """
+        def __enter__(self): return self
+        def __exit__(self, *args): pass
+    """
+    py3_args = "args = []"
+
+    if PY37:
+        check_output_signature = """
+        check_output(
+            args, *,
+            stdin=None,
+            stderr=None,
+            shell=False,
+            cwd=None,
+            encoding=None,
+            errors=None,
+            universal_newlines=False,
+            timeout=None,
+            env=None,
+            text=None,
+            restore_signals=True,
+            preexec_fn=None,
+            pass_fds=(),
+            input=None,
+            start_new_session=False
+        ):
+        """.strip()
+    else:
+        check_output_signature = """
+        check_output(
+            args, *,
+            stdin=None,
+            stderr=None,
+            shell=False,
+            cwd=None,
+            encoding=None,
+            errors=None,
+            universal_newlines=False,
+            timeout=None,
+            env=None,
+            restore_signals=True,
+            preexec_fn=None,
+            pass_fds=(),
+            input=None,
+            start_new_session=False
+        ):
+        """.strip()
+
+    code = textwrap.dedent(
+        """
+    def %(check_output_signature)s
+        if universal_newlines:
+            return ""
+        return b""
+
+    class Popen(object):
+        returncode = pid = 0
+        stdin = stdout = stderr = file()
+        %(py3_args)s
+
+        %(communicate_signature)s:
+            return %(communicate)r
+        %(wait_signature)s:
+            return self.returncode
+        def poll(self):
+            return self.returncode
+        def send_signal(self, signal):
+            pass
+        def terminate(self):
+            pass
+        def kill(self):
+            pass
+        %(ctx_manager)s
+       """
+        % {
+            "check_output_signature": check_output_signature,
+            "communicate": communicate,
+            "communicate_signature": communicate_signature,
+            "wait_signature": wait_signature,
+            "ctx_manager": ctx_manager,
+            "py3_args": py3_args,
+        }
+    )
+
+    init_lines = textwrap.dedent(init).splitlines()
+    indented_init = "\n".join(" " * 4 + line for line in init_lines)
+    code += indented_init
+    return astroid.parse(code)
+
+
+astroid.register_module_extender(astroid.MANAGER, "subprocess", _subprocess_transform)

venv/lib/python3.8/site-packages/astroid/brain/brain_threading.py

@@ -0,0 +1,31 @@
+# -*- coding: utf-8 -*-
+# Copyright (c) 2016, 2018-2019 Claudiu Popa <pcmanticore@gmail.com>
+# Copyright (c) 2017 Łukasz Rogalski <rogalski.91@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+import astroid
+
+
+def _thread_transform():
+    return astroid.parse(
+        """
+    class lock(object):
+        def acquire(self, blocking=True, timeout=-1):
+            return False
+        def release(self):
+            pass
+        def __enter__(self):
+            return True
+        def __exit__(self, *args):
+            pass
+        def locked(self):
+            return False
+
+    def Lock():
+        return lock()
+    """
+    )
+
+
+astroid.register_module_extender(astroid.MANAGER, "threading", _thread_transform)

venv/lib/python3.8/site-packages/astroid/brain/brain_typing.py

@@ -0,0 +1,96 @@
+# -*- coding: utf-8 -*-
+# Copyright (c) 2017-2018 Claudiu Popa <pcmanticore@gmail.com>
+# Copyright (c) 2017 Łukasz Rogalski <rogalski.91@gmail.com>
+# Copyright (c) 2017 David Euresti <github@euresti.com>
+# Copyright (c) 2018 Bryce Guinta <bryce.paul.guinta@gmail.com>
+
+"""Astroid hooks for typing.py support."""
+import typing
+
+from astroid import (
+    MANAGER,
+    UseInferenceDefault,
+    extract_node,
+    inference_tip,
+    nodes,
+    InferenceError,
+)
+
+
+TYPING_NAMEDTUPLE_BASENAMES = {"NamedTuple", "typing.NamedTuple"}
+TYPING_TYPEVARS = {"TypeVar", "NewType"}
+TYPING_TYPEVARS_QUALIFIED = {"typing.TypeVar", "typing.NewType"}
+TYPING_TYPE_TEMPLATE = """
+class Meta(type):
+    def __getitem__(self, item):
+        return self
+
+    @property
+    def __args__(self):
+        return ()
+
+class {0}(metaclass=Meta):
+    pass
+"""
+TYPING_MEMBERS = set(typing.__all__)
+
+
+def looks_like_typing_typevar_or_newtype(node):
+    func = node.func
+    if isinstance(func, nodes.Attribute):
+        return func.attrname in TYPING_TYPEVARS
+    if isinstance(func, nodes.Name):
+        return func.name in TYPING_TYPEVARS
+    return False
+
+
+def infer_typing_typevar_or_newtype(node, context=None):
+    """Infer a typing.TypeVar(...) or typing.NewType(...) call"""
+    try:
+        func = next(node.func.infer(context=context))
+    except InferenceError as exc:
+        raise UseInferenceDefault from exc
+
+    if func.qname() not in TYPING_TYPEVARS_QUALIFIED:
+        raise UseInferenceDefault
+    if not node.args:
+        raise UseInferenceDefault
+
+    typename = node.args[0].as_string().strip("'")
+    node = extract_node(TYPING_TYPE_TEMPLATE.format(typename))
+    return node.infer(context=context)
+
+
+def _looks_like_typing_subscript(node):
+    """Try to figure out if a Subscript node *might* be a typing-related subscript"""
+    if isinstance(node, nodes.Name):
+        return node.name in TYPING_MEMBERS
+    elif isinstance(node, nodes.Attribute):
+        return node.attrname in TYPING_MEMBERS
+    elif isinstance(node, nodes.Subscript):
+        return _looks_like_typing_subscript(node.value)
+    return False
+
+
+def infer_typing_attr(node, context=None):
+    """Infer a typing.X[...] subscript"""
+    try:
+        value = next(node.value.infer())
+    except InferenceError as exc:
+        raise UseInferenceDefault from exc
+
+    if not value.qname().startswith("typing."):
+        raise UseInferenceDefault
+
+    node = extract_node(TYPING_TYPE_TEMPLATE.format(value.qname().split(".")[-1]))
+    return node.infer(context=context)
+
+
+MANAGER.register_transform(
+    nodes.Call,
+    inference_tip(infer_typing_typevar_or_newtype),
+    looks_like_typing_typevar_or_newtype,
+)
+MANAGER.register_transform(
+    nodes.Subscript, inference_tip(infer_typing_attr), _looks_like_typing_subscript
+)

venv/lib/python3.8/site-packages/astroid/brain/brain_uuid.py

@@ -0,0 +1,20 @@
+# Copyright (c) 2017-2018 Claudiu Popa <pcmanticore@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+"""Astroid hooks for the UUID module."""
+
+
+from astroid import MANAGER
+from astroid import nodes
+
+
+def _patch_uuid_class(node):
+    # The .int member is patched using __dict__
+    node.locals["int"] = [nodes.Const(0, parent=node)]
+
+
+MANAGER.register_transform(
+    nodes.ClassDef, _patch_uuid_class, lambda node: node.qname() == "uuid.UUID"
+)