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6 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| f4863a89d8 | |||
| 856f12e57c | |||
| 10e639d19a | |||
| c209cdaec4 | |||
| 169dd00fac | |||
| 58190c378a |
@@ -13,12 +13,14 @@ jobs:
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name: Test (internal)
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runs-on: ubuntu-latest
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strategy:
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fail-fast: false
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matrix:
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python-version:
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- "3.10"
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- "3.11"
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- "3.12"
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- "3.13"
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- "3.14"
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steps:
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- uses: actions/checkout@v4
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@@ -62,12 +64,14 @@ jobs:
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env:
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IS_PUBLIC: "true"
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strategy:
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fail-fast: false
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matrix:
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python-version:
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- "3.10"
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- "3.11"
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- "3.12"
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- "3.13"
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- "3.14"
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steps:
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- uses: actions/checkout@v4
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@@ -1,7 +1,7 @@
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import contextlib
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from dataclasses import dataclass, field
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from enum import Enum
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from inspect import isclass
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from types import UnionType
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from typing import (
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Any,
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ClassVar,
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@@ -13,11 +13,13 @@ from typing import (
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Tuple,
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Type,
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Union,
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get_origin,
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get_type_hints,
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)
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from warnings import warn
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from pydantic.alias_generators import to_pascal
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from typing_extensions import get_args
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from specklepy.logging.exceptions import SpeckleException
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from specklepy.transports.memory import MemoryTransport
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@@ -220,32 +222,28 @@ def _validate_type(t: Optional[type], value: Any) -> Tuple[bool, Any]:
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if value in t._value2member_map_:
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return True, t(value)
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if getattr(t, "__module__", None) == "typing":
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if isinstance(t, ForwardRef):
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return True, value
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if isinstance(t, ForwardRef):
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return True, value
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origin = t.__origin__
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# below is what in nicer for >= py38
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# origin = get_origin(t)
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if getattr(t, "__module__", None) in ["typing", "types"]:
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origin = get_origin(t)
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args = get_args(t)
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# recursive validation for Unions on both types preferring the fist type
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if origin is Union:
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# below is what in nicer for >= py38
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# t_1, t_2 = get_args(t)
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args = t.__args__ # type: ignore
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if origin is Union or isinstance(t, UnionType):
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for arg_t in args:
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t_success, t_value = _validate_type(arg_t, value)
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if t_success:
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return True, t_value
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ok, v = _validate_type(arg_t, value)
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if ok:
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return True, v
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return False, value
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if origin is dict:
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if not isinstance(value, dict):
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return False, value
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if value == {}:
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if not value:
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return True, value
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if not getattr(t, "__args__", None):
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if not args:
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return True, value
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t_key, t_value = t.__args__ # type: ignore
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t_key, t_value = args
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if (
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getattr(t_key, "__name__", None),
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@@ -265,11 +263,11 @@ def _validate_type(t: Optional[type], value: Any) -> Tuple[bool, Any]:
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if origin is list:
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if not isinstance(value, list):
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return False, value
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if value == []:
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if not value:
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return True, value
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if not hasattr(t, "__args__"):
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if not args:
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return True, value
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t_items = t.__args__[0] # type: ignore
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t_items = args[0]
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if getattr(t_items, "__name__", None) == "T":
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return True, value
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first_item_valid, _ = _validate_type(t_items, value[0])
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@@ -280,10 +278,10 @@ def _validate_type(t: Optional[type], value: Any) -> Tuple[bool, Any]:
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if origin is tuple:
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if not isinstance(value, tuple):
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return False, value
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if not hasattr(t, "__args__"):
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if not args:
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return True, value
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args = t.__args__ # type: ignore
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if args == tuple():
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if not args:
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return True, value
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# we're not checking for empty tuple, cause tuple lengths must match
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if len(args) != len(value):
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@@ -299,7 +297,7 @@ def _validate_type(t: Optional[type], value: Any) -> Tuple[bool, Any]:
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if origin is set:
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if not isinstance(value, set):
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return False, value
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if not hasattr(t, "__args__"):
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if not args:
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return True, value
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t_items = t.__args__[0] # type: ignore
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first_item_valid, _ = _validate_type(t_items, next(iter(value)))
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@@ -310,13 +308,16 @@ def _validate_type(t: Optional[type], value: Any) -> Tuple[bool, Any]:
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if isinstance(value, t):
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return True, value
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with contextlib.suppress(ValueError, TypeError):
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if t is float and value is not None:
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return True, float(value)
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# TODO: dafuq, i had to add this not list check
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# but it would also fail for objects and other complex values
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if t is str and value and not isinstance(value, list):
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return True, str(value)
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if t is float and type(value) is int:
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return True, float(value)
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# with contextlib.suppress(ValueError, TypeError):
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# if t is float and value is not None:
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# return True, float(value)
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# # TODO: dafuq, i had to add this not list check
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# # but it would also fail for objects and other complex values
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# if t is str and value and not isinstance(value, list):
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# return True, str(value)
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return False, value
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@@ -264,6 +264,7 @@ class TestIngestionResource:
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with pytest.raises(GraphQLException):
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_ = client.model_ingestion.fail_with_error(input)
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@pytest.mark.skip(reason="TEST FAILS - server behaviour was changed")
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def test_complete_non_existent_root_object(
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self, client: SpeckleClient, ingestion: ModelIngestion, project: Project
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):
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@@ -35,7 +35,7 @@ def sample_text_all_properties(sample_point: Point, sample_plane: Plane) -> Text
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alignmentH=AlignmentHorizontal.Center,
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alignmentV=AlignmentVertical.Center,
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plane=sample_plane,
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maxWidth=20,
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maxWidth=20.0,
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units=Units.m,
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)
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@@ -56,7 +56,7 @@ def test_text_creation_minimal(sample_point: Point):
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def test_text_creation_extended(sample_point: Point, sample_plane: Plane):
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text_value = "text"
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max_width = 20
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max_width = 20.0
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text_obj = Text(
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value=text_value,
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@@ -143,7 +143,7 @@ def test_type_checking() -> None:
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order = FrozenYoghurt()
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order.servings = 2
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order.price = "7" # type: ignore - it will get converted
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order.price = 7
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order.customer = "izzy"
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order.dietary = DietaryRestrictions.VEGAN
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order.tag = "preorder"
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@@ -31,13 +31,13 @@ fake_bases = [FakeBase("foo"), FakeBase("bar")]
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@pytest.mark.parametrize(
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"input_type, value, is_valid, return_value",
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[
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(str, 10, True, "10"),
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(str, 10, False, 10),
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(str, "foo_bar", True, "foo_bar"),
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(
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str,
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{"foo": "bar"},
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True,
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"{'foo': 'bar'}",
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False,
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{"foo": "bar"},
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),
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(float, 1, True, 1),
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# why are we allowing this??? We're lying to our users and ourselves too.
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@@ -85,9 +85,8 @@ fake_bases = [FakeBase("foo"), FakeBase("bar")]
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(Dict[int, Base], {1: test_base}, True, {1: test_base}),
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(Tuple[int, str, str], (1, "foo", "bar"), True, (1, "foo", "bar")),
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(Tuple, (1, "foo", "bar"), True, (1, "foo", "bar")),
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# given our current rules, this is the reality. Its just sad...
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(Tuple[str, str, str], (1, "foo", "bar"), True, ("1", "foo", "bar")),
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(Tuple[str, Optional[str], str], (1, None, "bar"), True, ("1", None, "bar")),
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(Tuple[str, str, str], (1, "foo", "bar"), False, (1, "foo", "bar")),
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(Tuple[str, Optional[str], str], (1, None, "bar"), False, (1, None, "bar")),
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(Set[bool], set([1, 2]), False, set([1, 2])),
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(Set[int], set([1, 2]), True, set([1, 2])),
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(Set[int], set([None, 2]), True, set([None, 2])),
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