from typing import Any, Dict, List, Optional, Set, Type, Union

import pydantic
# imports
import pytest
from src.deepgram.core.pydantic_utilities import UniversalBaseModel

# --- Test models for use in unit tests ---

class SimpleModel(UniversalBaseModel):
    a: int
    b: str

class DefaultModel(UniversalBaseModel):
    a: int = 10
    b: str = "default"

class OptionalModel(UniversalBaseModel):
    a: int
    b: Optional[str] = None

class NestedModel(UniversalBaseModel):
    x: int
    y: SimpleModel

class ListModel(UniversalBaseModel):
    items: List[int]

class DictModel(UniversalBaseModel):
    mapping: Dict[str, int]

class UnionModel(UniversalBaseModel):
    a: Union[int, str]

# --- Unit tests for model_construct ---

# 1. Basic Test Cases

def test_simple_model_basic():
    # Test constructing a simple model with required fields
    codeflash_output = SimpleModel.model_construct(a=1, b="foo"); m = codeflash_output # 203μs -> 126μs (60.1% faster)

def test_default_model_with_and_without_values():
    # Test model with default values, both overridden and not
    codeflash_output = DefaultModel.model_construct(a=5); m1 = codeflash_output # 195μs -> 123μs (58.2% faster)
    codeflash_output = DefaultModel.model_construct(); m2 = codeflash_output # 127μs -> 79.1μs (60.8% faster)
    codeflash_output = DefaultModel.model_construct(a=7, b="bar"); m3 = codeflash_output # 140μs -> 81.3μs (72.6% faster)

def test_optional_field_model():
    # Test model with optional field, both provided and omitted
    codeflash_output = OptionalModel.model_construct(a=3); m1 = codeflash_output # 228μs -> 141μs (61.4% faster)
    codeflash_output = OptionalModel.model_construct(a=3, b="hello"); m2 = codeflash_output # 195μs -> 112μs (72.6% faster)

def test_nested_model():
    # Test model with a nested UniversalBaseModel field
    codeflash_output = NestedModel.model_construct(x=5, y={"a": 10, "b": "hi"}); m = codeflash_output # 334μs -> 202μs (65.0% faster)

def test_list_model():
    # Test model with a list field
    codeflash_output = ListModel.model_construct(items=[1, 2, 3]); m = codeflash_output # 221μs -> 134μs (64.5% faster)

def test_dict_model():
    # Test model with a dict field
    codeflash_output = DictModel.model_construct(mapping={"one": 1, "two": 2}); m = codeflash_output # 217μs -> 132μs (64.0% faster)

def test_union_model_int():
    # Test model with Union field, int value
    codeflash_output = UnionModel.model_construct(a=42); m = codeflash_output # 221μs -> 136μs (63.0% faster)

def test_union_model_str():
    # Test model with Union field, str value
    codeflash_output = UnionModel.model_construct(a="forty-two"); m = codeflash_output # 204μs -> 125μs (62.5% faster)

# 2. Edge Test Cases





def test_empty_list_and_dict():
    # Should handle empty list and dict
    codeflash_output = ListModel.model_construct(items=[]); m1 = codeflash_output # 191μs -> 118μs (61.5% faster)
    codeflash_output = DictModel.model_construct(mapping={}); m2 = codeflash_output # 147μs -> 88.6μs (66.2% faster)



def test_optional_field_explicit_none():
    # Should allow explicit None for Optional field
    codeflash_output = OptionalModel.model_construct(a=1, b=None); m = codeflash_output # 235μs -> 143μs (64.4% faster)

# 3. Large Scale Test Cases

def test_large_list_model():
    # Test model with a large list (up to 1000 elements)
    big_list = list(range(1000))
    codeflash_output = ListModel.model_construct(items=big_list); m = codeflash_output # 9.90ms -> 4.98ms (98.6% faster)

def test_large_dict_model():
    # Test model with a large dict (up to 1000 elements)
    big_dict = {str(i): i for i in range(1000)}
    codeflash_output = DictModel.model_construct(mapping=big_dict); m = codeflash_output # 10.1ms -> 5.10ms (98.0% faster)




#------------------------------------------------
import collections.abc
import inspect
import typing
from datetime import datetime

import pydantic
# imports
import pytest
import typing_extensions
from src.deepgram.core.pydantic_utilities import UniversalBaseModel

# ---- TEST CASES ----

# Basic Test Cases































#------------------------------------------------
from src.deepgram.core.pydantic_utilities import UniversalBaseModel