from __future__ import annotations

import gc
import inspect
import os
import time
from pathlib import Path
from unittest.mock import MagicMock, patch

import dill as pickle
import pytest
from inference.core.models.base import Model
from inference.models.qwen3_5vl.qwen3_5vl_inference_models import \
    InferenceModelsQwen35VLAdapter


def codeflash_wrap(codeflash_wrapped, codeflash_test_module_name, codeflash_test_class_name, codeflash_test_name, codeflash_function_name, codeflash_line_id, codeflash_loop_index, *args, **kwargs):
    test_id = f'{codeflash_test_module_name}:{codeflash_test_class_name}:{codeflash_test_name}:{codeflash_line_id}:{codeflash_loop_index}'
    if not hasattr(codeflash_wrap, 'index'):
        codeflash_wrap.index = {}
    if test_id in codeflash_wrap.index:
        codeflash_wrap.index[test_id] += 1
    else:
        codeflash_wrap.index[test_id] = 0
    codeflash_test_index = codeflash_wrap.index[test_id]
    invocation_id = f'{codeflash_line_id}_{codeflash_test_index}'
    test_stdout_tag = f"{codeflash_test_module_name}:{(codeflash_test_class_name + '.' if codeflash_test_class_name else '')}{codeflash_test_name}:{codeflash_function_name}:{codeflash_loop_index}:{invocation_id}"
    print(f'!$######{test_stdout_tag}######$!')
    exception = None
    gc.disable()
    try:
        counter = time.perf_counter_ns()
        return_value = codeflash_wrapped(*args, **kwargs)
        codeflash_duration = time.perf_counter_ns() - counter
    except Exception as e:
        codeflash_duration = time.perf_counter_ns() - counter
        exception = e
    gc.enable()
    print(f'!######{test_stdout_tag}######!')
    iteration = os.environ['CODEFLASH_TEST_ITERATION']
    with Path('{codeflash_run_tmp_dir_client_side}', f'test_return_values_{iteration}.bin').open('ab') as f:
        pickled_values = pickle.dumps((args, kwargs, exception)) if exception else pickle.dumps((args, kwargs, return_value))
        _test_name = f"{codeflash_test_module_name}:{(codeflash_test_class_name + '.' if codeflash_test_class_name else '')}{codeflash_test_name}:{codeflash_function_name}:{codeflash_line_id}".encode('ascii')
        f.write(len(_test_name).to_bytes(4, byteorder='big'))
        f.write(_test_name)
        f.write(codeflash_duration.to_bytes(8, byteorder='big'))
        f.write(len(pickled_values).to_bytes(4, byteorder='big'))
        f.write(pickled_values)
        f.write(codeflash_loop_index.to_bytes(8, byteorder='big'))
        f.write(len(invocation_id).to_bytes(4, byteorder='big'))
        f.write(invocation_id.encode('ascii'))
    if exception:
        raise exception
    return return_value

@pytest.fixture
def adapter_instance():
    """Create a real adapter instance with mocked dependencies."""
    with patch('inference.models.qwen3_5vl.qwen3_5vl_inference_models.AutoModel'):
        with patch('inference.models.qwen3_5vl.qwen3_5vl_inference_models.get_extra_weights_provider_headers'):
            with patch('inference.models.qwen3_5vl.qwen3_5vl_inference_models.API_KEY', 'test_api_key'):
                adapter = InferenceModelsQwen35VLAdapter(model_id='test_model')
                return adapter

def test_map_inference_kwargs_returns_dict(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs returns a dictionary.'
    input_kwargs = {'key': 'value'}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_returns_dict', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_empty_dict(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles an empty dictionary.'
    input_kwargs = {}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_empty_dict', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_preserves_single_key_value(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs preserves a single key-value pair.'
    input_kwargs = {'param1': 'value1'}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_preserves_single_key_value', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_preserves_multiple_key_values(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs preserves multiple key-value pairs.'
    input_kwargs = {'param1': 'value1', 'param2': 'value2', 'param3': 'value3'}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_preserves_multiple_key_values', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_string_values(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs preserves string values correctly.'
    input_kwargs = {'text': 'hello', 'prompt': 'describe the image'}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_string_values', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_numeric_values(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs preserves numeric values.'
    input_kwargs = {'temperature': 0.7, 'max_tokens': 100, 'top_p': 0.9}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_numeric_values', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_boolean_values(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs preserves boolean values.'
    input_kwargs = {'stream': True, 'debug': False}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_boolean_values', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_list_values(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs preserves list values.'
    input_kwargs = {'classes': ['cat', 'dog', 'bird']}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_list_values', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_nested_dict_values(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs preserves nested dictionary values.'
    input_kwargs = {'config': {'model': 'qwen35', 'version': '1.0'}}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_nested_dict_values', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_returns_same_object(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs returns the input dict (or an identical copy).'
    input_kwargs = {'key1': 'value1', 'key2': 'value2'}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_returns_same_object', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_none_values(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs preserves None values.'
    input_kwargs = {'optional_param': None}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_none_values', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_preserves_dict_keys_exactly(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs preserves dictionary keys exactly as provided.'
    input_kwargs = {'CamelCase': 'value', 'snake_case': 'value', 'UPPER_CASE': 'value'}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_preserves_dict_keys_exactly', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_very_long_string_values(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles very long string values.'
    long_string = 'a' * 10000
    input_kwargs = {'long_prompt': long_string}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_very_long_string_values', 'map_inference_kwargs', '3', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_special_characters_in_keys(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles special characters in keys.'
    input_kwargs = {'param-1': 'value', 'param.2': 'value', 'param_3': 'value'}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_special_characters_in_keys', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_special_characters_in_string_values(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles special characters in string values.'
    input_kwargs = {'text': 'Hello @#$%^&*()', 'prompt': 'What is this? [image]', 'special': '\n\t\r'}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_special_characters_in_string_values', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_unicode_characters(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs preserves Unicode characters.'
    input_kwargs = {'chinese': '你好', 'arabic': 'مرحبا', 'emoji': '🎨🖼️'}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_unicode_characters', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_zero_values(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles zero numeric values.'
    input_kwargs = {'count': 0, 'temperature': 0.0, 'timeout': 0}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_zero_values', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_negative_values(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles negative numeric values.'
    input_kwargs = {'offset': -10, 'penalty': -0.5, 'index': -1}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_negative_values', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_very_large_numbers(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles very large numeric values.'
    input_kwargs = {'big_int': 10 ** 15, 'big_float': 1.7976931348623157e+308}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_very_large_numbers', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_very_small_float(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles very small float values.'
    input_kwargs = {'tiny': 1e-15}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_very_small_float', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_empty_list(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles empty lists.'
    input_kwargs = {'items': [], 'filters': []}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_empty_list', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_empty_string(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles empty strings.'
    input_kwargs = {'text': '', 'prompt': ''}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_empty_string', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_mixed_types(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles mixed data types together.'
    input_kwargs = {'string': 'text', 'integer': 42, 'float': 3.14, 'boolean': True, 'none': None, 'list': [1, 2, 3], 'dict': {'nested': 'value'}}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_mixed_types', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_tuple_values(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles tuple values.'
    input_kwargs = {'coordinates': (10, 20), 'range': (0, 100)}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_tuple_values', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_deeply_nested_structures(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles deeply nested data structures.'
    input_kwargs = {'config': {'model': {'params': {'layers': {'attention': {'heads': 8}}}}}}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_deeply_nested_structures', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_duplicate_values(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles duplicate values in different keys.'
    input_kwargs = {'param1': 'same_value', 'param2': 'same_value', 'param3': 'same_value'}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_duplicate_values', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_whitespace_strings(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs preserves whitespace in strings.'
    input_kwargs = {'spaces': '   ', 'tabs': '\t\t', 'newlines': '\n\n', 'mixed': '  \t\n  '}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_whitespace_strings', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_boolean_false_distinct_from_none(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that False is distinct from None and 0.'
    input_kwargs = {'is_false': False, 'is_none': None, 'is_zero': 0}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_boolean_false_distinct_from_none', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_idempotent(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that applying map_inference_kwargs multiple times gives the same result.'
    input_kwargs = {'param1': 'value1', 'param2': 42, 'param3': [1, 2, 3]}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_idempotent', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result1 = codeflash_output
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(result1)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_idempotent', 'map_inference_kwargs', '4', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result2 = codeflash_output
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(result2)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_idempotent', 'map_inference_kwargs', '6', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result3 = codeflash_output

def test_map_inference_kwargs_does_not_modify_original(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs does not modify the original input dict.'
    input_kwargs = {'param1': 'value1', 'param2': [1, 2, 3]}
    original_copy = dict(input_kwargs)
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_does_not_modify_original', 'map_inference_kwargs', '3', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_many_keys(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles dictionaries with many keys.'
    input_kwargs = {f'key_{i}': f'value_{i}' for i in range(1000)}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_many_keys', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    for i in range(1000):
        pass

def test_map_inference_kwargs_with_large_list_values(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles large list values.'
    input_kwargs = {'items': list(range(1000))}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_large_list_values', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_many_nested_dicts(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles many nested dictionaries.'
    input_kwargs = {}
    for i in range(100):
        input_kwargs[f'config_{i}'] = {'name': f'config_{i}', 'values': list(range(10))}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_many_nested_dicts', 'map_inference_kwargs', '3', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    for i in range(100):
        pass

def test_map_inference_kwargs_with_very_large_dict_multiple_iterations(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs can handle large dicts in multiple iterations.'
    input_kwargs = {f'param_{i}': i for i in range(500)}
    results = []
    for _ in range(500):
        _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
        _call__bound__arguments.apply_defaults()
        codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_very_large_dict_multiple_iterations', 'map_inference_kwargs', '3_0', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
        codeflash_output = codeflash_return_value
        result = codeflash_output
        results.append(result)
    for result in results:
        pass

def test_map_inference_kwargs_with_large_string_values_multiple_keys(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles many large string values.'
    large_string = 'x' * 1000
    input_kwargs = {f'text_{i}': large_string for i in range(100)}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_large_string_values_multiple_keys', 'map_inference_kwargs', '3', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    for i in range(100):
        pass

def test_map_inference_kwargs_performance_with_complex_structure(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs performs well with complex data structures.'
    input_kwargs = {'data': [{'id': i, 'values': list(range(10)), 'nested': {'key': f'value_{i}'}} for i in range(500)]}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_performance_with_complex_structure', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    for i in range(500):
        pass

def test_map_inference_kwargs_with_mixed_scales(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles mixed scale data correctly.'
    input_kwargs = {'small_int': 1, 'large_int': 10 ** 10, 'small_string': 'a', 'large_string': 'b' * 5000, 'small_list': [1], 'large_list': list(range(500))}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_mixed_scales', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_map_inference_kwargs_with_100_numeric_variations(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs preserves 100 different numeric values correctly.'
    input_kwargs = {}
    for i in range(100):
        input_kwargs[f'number_{i}'] = i + i * 0.1
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_100_numeric_variations', 'map_inference_kwargs', '3', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    for i in range(100):
        pass

def test_map_inference_kwargs_with_heterogeneous_list(adapter_instance):
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that map_inference_kwargs handles heterogeneous lists with many elements.'
    input_kwargs = {'mixed_list': [1 if i % 5 == 0 else 'string' if i % 5 == 1 else 3.14 if i % 5 == 2 else True if i % 5 == 3 else None for i in range(1000)]}
    _call__bound__arguments = inspect.signature(adapter_instance.map_inference_kwargs).bind(input_kwargs)
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(adapter_instance.map_inference_kwargs, 'tests.inference.unit_tests.test_map_inference_kwargs__unit_test_1', None, 'test_map_inference_kwargs_with_heterogeneous_list', 'map_inference_kwargs', '2', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output