from __future__ import annotations

from typing import ClassVar

# imports
import pytest  # used for our unit tests
from datadog_api_client.model_utils import ModelSimple, cached_property
from src.datadog_api_client.v2.model.logs_archive_storage_class_s3_type import \
    LogsArchiveStorageClassS3Type

LogsArchiveStorageClassS3Type.STANDARD = LogsArchiveStorageClassS3Type("STANDARD")
LogsArchiveStorageClassS3Type.STANDARD_IA = LogsArchiveStorageClassS3Type("STANDARD_IA")
LogsArchiveStorageClassS3Type.ONEZONE_IA = LogsArchiveStorageClassS3Type("ONEZONE_IA")
LogsArchiveStorageClassS3Type.INTELLIGENT_TIERING = LogsArchiveStorageClassS3Type("INTELLIGENT_TIERING")
LogsArchiveStorageClassS3Type.GLACIER_IR = LogsArchiveStorageClassS3Type("GLACIER_IR")


# unit tests

# --- Basic Test Cases ---




def test_openapi_types_bulk_instance_calls():
    # Test that openapi_types works for many instances and always returns the same mapping
    instances = [LogsArchiveStorageClassS3Type("STANDARD") for _ in range(100)]
    for instance in instances:
        codeflash_output = instance.openapi_types(); result = codeflash_output



#------------------------------------------------
from __future__ import annotations

from typing import ClassVar

# imports
import pytest  # used for our unit tests
from datadog_api_client.model_utils import ModelSimple, cached_property
from src.datadog_api_client.v2.model.logs_archive_storage_class_s3_type import \
    LogsArchiveStorageClassS3Type

LogsArchiveStorageClassS3Type.STANDARD = LogsArchiveStorageClassS3Type("STANDARD")
LogsArchiveStorageClassS3Type.STANDARD_IA = LogsArchiveStorageClassS3Type("STANDARD_IA")
LogsArchiveStorageClassS3Type.ONEZONE_IA = LogsArchiveStorageClassS3Type("ONEZONE_IA")
LogsArchiveStorageClassS3Type.INTELLIGENT_TIERING = LogsArchiveStorageClassS3Type("INTELLIGENT_TIERING")
LogsArchiveStorageClassS3Type.GLACIER_IR = LogsArchiveStorageClassS3Type("GLACIER_IR")

# unit tests

# Basic Test Cases
def test_openapi_types_returns_correct_dict():
    # Test that openapi_types returns the expected dictionary
    expected = {"value": (str,)}
    result = LogsArchiveStorageClassS3Type.openapi_types

def test_openapi_types_keys_and_types():
    # Test that the key is 'value' and the value is a tuple containing str
    result = LogsArchiveStorageClassS3Type.openapi_types

def test_openapi_types_is_cached_property():
    # It should be accessed as an attribute, not called as a method
    result = LogsArchiveStorageClassS3Type.openapi_types

# Edge Test Cases
def test_openapi_types_is_immutable():
    # Test that modifying the returned dict does not affect subsequent calls (cached_property returns a new dict)
    result1 = LogsArchiveStorageClassS3Type.openapi_types
    result1["new_key"] = (int,)  # Mutate the dict
    result2 = LogsArchiveStorageClassS3Type.openapi_types

def test_openapi_types_with_incorrect_access():
    # Test that calling openapi_types as a method raises TypeError
    with pytest.raises(TypeError):
        LogsArchiveStorageClassS3Type.openapi_types() # 2.20μs -> 1.86μs (18.2% faster)

def test_openapi_types_type_tuple_contents():
    # Test that the tuple contains only the str type, not any other type
    result = LogsArchiveStorageClassS3Type.openapi_types

def test_openapi_types_not_empty():
    # Test that openapi_types is not an empty dictionary
    result = LogsArchiveStorageClassS3Type.openapi_types


def test_openapi_types_performance_large_access():
    # Test repeated access to openapi_types does not degrade performance or change result
    # This is a basic performance/scalability test for up to 1000 accesses
    expected = {"value": (str,)}
    for _ in range(1000):
        result = LogsArchiveStorageClassS3Type.openapi_types

def test_openapi_types_thread_safety():
    # Simulate concurrent access to openapi_types
    # This is a basic concurrency test for cached_property
    import threading

    results = []
    def access_openapi_types():
        results.append(LogsArchiveStorageClassS3Type.openapi_types)

    threads = [threading.Thread(target=access_openapi_types) for _ in range(10)]
    for t in threads:
        t.start()
    for t in threads:
        t.join()

    # All results should be identical
    for r in results:
        pass

def test_openapi_types_large_dict_mutation():
    # Test mutation of the returned dict with many keys (simulate large dict)
    result = LogsArchiveStorageClassS3Type.openapi_types
    for i in range(100):
        result[f"extra_{i}"] = (int,)
    # The mutation should persist due to cached_property
    for i in range(100):
        pass

# Additional Edge Case: Ensure openapi_types is not a method
def test_openapi_types_is_not_callable():
    # openapi_types should not be callable
    result = LogsArchiveStorageClassS3Type.openapi_types

# Additional Edge Case: Ensure tuple is not empty
def test_openapi_types_value_tuple_not_empty():
    result = LogsArchiveStorageClassS3Type.openapi_types

# Additional Large Scale: Access after mutation
def test_openapi_types_access_after_mutation():
    # Mutate the dict and check subsequent access
    result = LogsArchiveStorageClassS3Type.openapi_types
    result["another_key"] = (float,)
    # All subsequent accesses should reflect the mutation
    for _ in range(10):
        pass
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.