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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,62 @@ | ||
| from typing import TypeAlias | ||
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| from omnipy.modules.frozen.models import NestedFrozenDictsOrTuplesModel | ||
| from omnipy.modules.general.models import Model | ||
| from tests.modules.general.cases.raw.examples import (e_complex_key_dict, | ||
| e_int_key_dict, | ||
| e_none_key_dict, | ||
| ej_frozendict_iterable_scalar, | ||
| ej_frozendict_iterable_scalar_empty, | ||
| ej_frozendict_wrong_scalar, | ||
| ej_tuple_iterable_scalar, | ||
| ej_tuple_wrong_scalar, | ||
| ej_type, | ||
| f_complex, | ||
| f_dict, | ||
| f_frozendict, | ||
| f_int, | ||
| f_list, | ||
| f_none, | ||
| f_set, | ||
| f_str, | ||
| f_tuple) | ||
|
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| FSK: TypeAlias = int | str | complex # for keys | ||
| FSV: TypeAlias = None | int | str | complex # for values | ||
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| def run_nested_frozen_dicts_or_tuples_model() -> None: | ||
| _two_level_list: list[FSV | list[FSV] | dict[str, FSV]] = \ | ||
| f_list + [list(f_list)] + [dict(f_dict)] | ||
| _two_level_dict: dict[str, str | list[FSV] | dict[str, FSV]] = \ | ||
| {'a': f_str, 'b': list(f_list), 'c': dict(f_dict)} | ||
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| number_model = Model[int](123) | ||
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| print(number_model.snapshot_holder._deepcopy_memo) | ||
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| number_model.snapshot_holder._deepcopy_memo.clear() | ||
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| print(number_model.snapshot_holder._deepcopy_memo) | ||
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| nested_frozen_dicts_or_tuples = ( | ||
| list(f_list + [list(f_list), dict(f_dict), list(_two_level_list), dict(_two_level_dict)])) | ||
| nested_frozen_dicts_or_tuples_model = NestedFrozenDictsOrTuplesModel( | ||
| nested_frozen_dicts_or_tuples) | ||
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| print(len(number_model.snapshot_holder._deepcopy_memo)) | ||
| k = 0 | ||
| v = 0 | ||
| for k, v in number_model.snapshot_holder._deepcopy_memo.items(): | ||
| print(f'{k}: {v}') | ||
| del k | ||
| del v | ||
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| del nested_frozen_dicts_or_tuples_model | ||
| number_model.snapshot_holder.delete_scheduled_deepcopy_content_ids() | ||
| print(number_model.snapshot_holder._deepcopy_memo) | ||
|
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| assert len(number_model.snapshot_holder._deepcopy_memo) == 0 | ||
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| run_nested_frozen_dicts_or_tuples_model() |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,11 @@ | ||
| def omnipy_import() -> None: | ||
| import omnipy | ||
| import omnipy._dynamic_all | ||
| omnipy.data | ||
| from omnipy import Model | ||
| import omnipy.data | ||
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| # omnipy._dynamic_all.data | ||
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| omnipy_import() |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,60 @@ | ||
| from typing import Generic, get_args, get_origin, Literal | ||
|
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| from pydantic.fields import UndefinedType | ||
| from typing_extensions import TypeVar | ||
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| from omnipy import Model | ||
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| D = TypeVar('D', default=object) | ||
| S = TypeVar('S', default=object) | ||
| T = TypeVar('T', default=Literal[',']) | ||
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| class Param(Model[UndefinedType | S | D], Generic[S, D]): | ||
| @classmethod | ||
| def _parse_data(cls, data: UndefinedType | S | D): | ||
| override, default = get_args(cls.outer_type(with_args=True))[1:3] | ||
| print(f'default: {repr(default)}, override: {repr(override)}, data: {repr(data)}') | ||
| assert get_origin(default) == Literal | ||
| target = override if get_origin(override) == Literal else default | ||
| print( | ||
| f'data: {repr(data)}, target: {repr(target)}, check: {type(data) is not UndefinedType and data != target}' | ||
| ) | ||
| if type(data) is not UndefinedType and data != target: | ||
| print('I amm asserting!') | ||
| raise AssertionError( | ||
| f'Data other than the default or override literals are not allowed: {data}') | ||
| return target | ||
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| DefaultDelim = Literal[','] | ||
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| class DelimitParam(Param[S, DefaultDelim], Generic[S]): | ||
| ... | ||
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| class Y(Model[list[str] | tuple[str, DelimitParam]]): | ||
| ... | ||
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| class ValueWithParam(Model[tuple[DelimitParam[S], T]], Generic[T, S]): | ||
| @classmethod | ||
| def _parse_data(cls, data: tuple[T, DelimitParam[S]]): | ||
| print(f'data: {repr(data)}') | ||
| return data | ||
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|
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| class D(Model[T], Generic[T]): | ||
| ... | ||
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| D[Literal['asd']]() | ||
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| class Splitter(Model[list[str] | str | Model[T]], Generic[T]): | ||
| ... | ||
|
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|
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| class A(Model[tuple[T, S]], Generic[T, S]): | ||
| ... |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,32 @@ | ||
| import cProfile | ||
| from importlib import import_module | ||
| import os | ||
| import pstats | ||
| import sys | ||
|
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| if __name__ == '__main__': | ||
| script_path = os.path.abspath(sys.argv[1]) | ||
| project_path = os.path.abspath(__file__ + '/../..') | ||
|
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| print(f'script_path: {script_path}') | ||
| print(f'project_path: {project_path}') | ||
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| assert script_path.startswith(project_path) | ||
| module = '.'.join(script_path.split('.')[0][len(project_path) + 1:].split('/')) | ||
|
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| # print(f'package: {package}') | ||
| print(f'module: {module}') | ||
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| sys.path.append(project_path) | ||
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| mod = import_module(module) | ||
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| profiler = cProfile.Profile() | ||
| profiler.enable() | ||
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| mod.run() | ||
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| profiler.disable() | ||
| stats = pstats.Stats(profiler).sort_stats('cumtime') | ||
| stats.dump_stats('latest4.pstats') | ||
| print('dumped') |
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