from __future__ import annotations

import gc
import inspect
import os
import time
from pathlib import Path
from typing import List

import dill as pickle
import pytest
from inference.core.workflows.core_steps.loader import load_kinds
from inference.core.workflows.execution_engine.entities.types import (
    BAR_CODE_DETECTION_KIND, BOOLEAN_KIND, BYTES_KIND,
    CLASSIFICATION_PREDICTION_KIND, CONTOURS_KIND, DETECTION_KIND,
    DICTIONARY_KIND, EMBEDDING_KIND, FLOAT_KIND, FLOAT_ZERO_TO_ONE_KIND,
    IMAGE_KEYPOINTS_KIND, IMAGE_KIND, IMAGE_METADATA_KIND, INFERENCE_ID_KIND,
    INSTANCE_SEGMENTATION_PREDICTION_KIND, INTEGER_KIND,
    KEYPOINT_DETECTION_PREDICTION_KIND, LANGUAGE_MODEL_OUTPUT_KIND,
    LIST_OF_VALUES_KIND, NUMPY_ARRAY_KIND, OBJECT_DETECTION_PREDICTION_KIND,
    PARENT_ID_KIND, POINT_KIND, PREDICTION_TYPE_KIND, QR_CODE_DETECTION_KIND,
    RGB_COLOR_KIND, ROBOFLOW_API_KEY_KIND, ROBOFLOW_MANAGED_KEY,
    ROBOFLOW_MODEL_ID_KIND, ROBOFLOW_PROJECT_KIND, SECRET_KIND,
    SEMANTIC_SEGMENTATION_PREDICTION_KIND, SERIALISED_PAYLOADS_KIND,
    STRING_KIND, TIMESTAMP_KIND, TOP_CLASS_KIND, VIDEO_METADATA_KIND,
    WILDCARD_KIND, ZONE_KIND, Kind)


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

def test_load_kinds_returns_list():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that load_kinds returns a list.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_returns_list', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_returns_non_empty_list():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that load_kinds returns a non-empty list.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_returns_non_empty_list', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_contains_kind_instances():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that all items in the returned list are Kind instances.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_kind_instances', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    for item in result:
        pass

def test_load_kinds_exact_count():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that load_kinds returns exactly 39 kinds.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_exact_count', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_starts_with_wildcard():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that the first kind returned is WILDCARD_KIND.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_starts_with_wildcard', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_ends_with_timestamp():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that the last kind returned is TIMESTAMP_KIND.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_ends_with_timestamp', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_contains_image_kind():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that IMAGE_KIND is included in the returned list.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_image_kind', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_contains_all_detection_kinds():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that all detection-related kinds are included.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_all_detection_kinds', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    detection_kinds = [OBJECT_DETECTION_PREDICTION_KIND, INSTANCE_SEGMENTATION_PREDICTION_KIND, KEYPOINT_DETECTION_PREDICTION_KIND, SEMANTIC_SEGMENTATION_PREDICTION_KIND, QR_CODE_DETECTION_KIND, BAR_CODE_DETECTION_KIND]
    for kind in detection_kinds:
        pass

def test_load_kinds_second_element_is_image():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that the second element is IMAGE_KIND.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_second_element_is_image', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_contains_roboflow_api_key():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that ROBOFLOW_API_KEY_KIND is in the list.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_roboflow_api_key', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_contains_secret_kind():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that SECRET_KIND is in the list.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_secret_kind', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_all_items_are_hashable():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that all returned kinds are hashable (have __hash__).'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_all_items_are_hashable', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    for kind in result:
        try:
            hash(kind)
        except TypeError:
            pytest.fail(f'Kind {kind.name} should be hashable')

def test_load_kinds_no_duplicate_items():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that there are no duplicate kinds in the returned list.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_no_duplicate_items', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_all_kinds_have_name_attribute():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that all returned kinds have a non-empty name attribute.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_all_kinds_have_name_attribute', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    for kind in result:
        pass

def test_load_kinds_immutability():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that subsequent calls return the same kinds in the same order.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_immutability', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result1 = codeflash_output
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_immutability', 'load_kinds', '3', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result2 = codeflash_output
    for i, (k1, k2) in enumerate(zip(result1, result2)):
        pass

def test_load_kinds_contains_boolean_kind():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that BOOLEAN_KIND is in the list.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_boolean_kind', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_contains_numeric_kinds():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that numeric kinds are included.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_numeric_kinds', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    numeric_kinds = [INTEGER_KIND, FLOAT_KIND, FLOAT_ZERO_TO_ONE_KIND]
    for kind in numeric_kinds:
        pass

def test_load_kinds_contains_string_kind():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that STRING_KIND is in the list.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_string_kind', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_contains_complex_types():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that complex type kinds are included.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_complex_types', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    complex_kinds = [DICTIONARY_KIND, LIST_OF_VALUES_KIND, NUMPY_ARRAY_KIND, EMBEDDING_KIND]
    for kind in complex_kinds:
        pass

def test_load_kinds_contains_metadata_kinds():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that metadata kinds are included.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_metadata_kinds', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    metadata_kinds = [VIDEO_METADATA_KIND, IMAGE_METADATA_KIND, INFERENCE_ID_KIND, TIMESTAMP_KIND]
    for kind in metadata_kinds:
        pass

def test_load_kinds_contains_roboflow_kinds():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that Roboflow-specific kinds are included.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_roboflow_kinds', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    roboflow_kinds = [ROBOFLOW_MODEL_ID_KIND, ROBOFLOW_PROJECT_KIND, ROBOFLOW_API_KEY_KIND, ROBOFLOW_MANAGED_KEY]
    for kind in roboflow_kinds:
        pass

def test_load_kinds_contains_geometric_kinds():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that geometric/spatial kinds are included.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_geometric_kinds', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    geometric_kinds = [POINT_KIND, ZONE_KIND, CONTOURS_KIND, IMAGE_KEYPOINTS_KIND]
    for kind in geometric_kinds:
        pass

def test_load_kinds_contains_color_kind():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that RGB_COLOR_KIND is in the list.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_color_kind', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_contains_language_model_output():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that LANGUAGE_MODEL_OUTPUT_KIND is in the list.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_language_model_output', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_contains_prediction_type_kind():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that PREDICTION_TYPE_KIND is in the list.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_prediction_type_kind', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_contains_bytes_kind():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that BYTES_KIND is in the list.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_bytes_kind', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_contains_parent_id_kind():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that PARENT_ID_KIND is in the list.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_parent_id_kind', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_contains_serialised_payloads():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that SERIALISED_PAYLOADS_KIND is in the list.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_serialised_payloads', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_contains_detection_kind():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that DETECTION_KIND is in the list.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_detection_kind', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_contains_classification_prediction():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that CLASSIFICATION_PREDICTION_KIND is in the list.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_classification_prediction', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_contains_top_class_kind():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that TOP_CLASS_KIND is in the list.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_contains_top_class_kind', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_load_kinds_all_kinds_are_pydantic_models():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that all returned kinds are instances of pydantic BaseModel.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_all_kinds_are_pydantic_models', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    for kind in result:
        pass

def test_load_kinds_kind_names_are_unique():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that all kind names are unique.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_kind_names_are_unique', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    names = [kind.name for kind in result]

def test_load_kinds_performance_multiple_calls():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that load_kinds performs efficiently over multiple calls.'
    for _ in range(100):
        _call__bound__arguments = inspect.signature(load_kinds).bind()
        _call__bound__arguments.apply_defaults()
        codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_performance_multiple_calls', 'load_kinds', '1_0', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
        codeflash_output = codeflash_return_value
        result = codeflash_output

def test_load_kinds_list_iteration_performance():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that the returned list can be iterated efficiently.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_list_iteration_performance', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    count = 0
    for kind in result:
        count += 1

def test_load_kinds_membership_checks():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that membership checks work correctly on the returned list.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_membership_checks', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    test_kinds = [WILDCARD_KIND, IMAGE_KIND, BOOLEAN_KIND, INTEGER_KIND, STRING_KIND, FLOAT_KIND, DETECTION_KIND, OBJECT_DETECTION_PREDICTION_KIND, SEMANTIC_SEGMENTATION_PREDICTION_KIND, ROBOFLOW_API_KEY_KIND, CLASSIFICATION_PREDICTION_KIND, POINT_KIND, ZONE_KIND, RGB_COLOR_KIND, BYTES_KIND, SECRET_KIND, EMBEDDING_KIND, TIMESTAMP_KIND, IMAGE_METADATA_KIND, ROBOFLOW_MANAGED_KEY]
    for kind in test_kinds:
        pass

def test_load_kinds_indexing_access():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that indexed access to the returned list works correctly.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_indexing_access', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    for i in range(0, len(result), 5):
        kind = result[i]

def test_load_kinds_slicing():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that slicing operations work on the returned list.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_slicing', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    sliced = result[0:10]
    sliced_middle = result[15:25]
    sliced_end = result[-5:]

def test_load_kinds_hashing_large_set():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that all kinds can be added to a set (tests hashing).'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_hashing_large_set', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    kinds_set = set(result)

def test_load_kinds_kind_attributes_consistent():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that kind attributes remain consistent over multiple retrievals.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_kind_attributes_consistent', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result1 = codeflash_output
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_kind_attributes_consistent', 'load_kinds', '3', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result2 = codeflash_output
    for k1, k2 in zip(result1, result2):
        pass

def test_load_kinds_comprehensive_kind_coverage():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that a comprehensive set of expected kinds are all present.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_comprehensive_kind_coverage', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    all_expected_kinds = [WILDCARD_KIND, IMAGE_KIND, VIDEO_METADATA_KIND, ROBOFLOW_MODEL_ID_KIND, ROBOFLOW_PROJECT_KIND, ROBOFLOW_API_KEY_KIND, FLOAT_ZERO_TO_ONE_KIND, LIST_OF_VALUES_KIND, SERIALISED_PAYLOADS_KIND, BOOLEAN_KIND, INTEGER_KIND, STRING_KIND, TOP_CLASS_KIND, FLOAT_KIND, DICTIONARY_KIND, DETECTION_KIND, CLASSIFICATION_PREDICTION_KIND, POINT_KIND, ZONE_KIND, OBJECT_DETECTION_PREDICTION_KIND, INSTANCE_SEGMENTATION_PREDICTION_KIND, KEYPOINT_DETECTION_PREDICTION_KIND, SEMANTIC_SEGMENTATION_PREDICTION_KIND, RGB_COLOR_KIND, IMAGE_KEYPOINTS_KIND, CONTOURS_KIND, LANGUAGE_MODEL_OUTPUT_KIND, NUMPY_ARRAY_KIND, QR_CODE_DETECTION_KIND, BAR_CODE_DETECTION_KIND, PREDICTION_TYPE_KIND, ROBOFLOW_MANAGED_KEY, PARENT_ID_KIND, IMAGE_METADATA_KIND, BYTES_KIND, INFERENCE_ID_KIND, SECRET_KIND, EMBEDDING_KIND, TIMESTAMP_KIND]
    for expected_kind in all_expected_kinds:
        pass

def test_load_kinds_order_preservation():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that the order of kinds is preserved across multiple calls.'
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_order_preservation', 'load_kinds', '1', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result1 = codeflash_output
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_order_preservation', 'load_kinds', '3', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result2 = codeflash_output
    _call__bound__arguments = inspect.signature(load_kinds).bind()
    _call__bound__arguments.apply_defaults()
    codeflash_return_value = codeflash_wrap(load_kinds, 'tests.inference.unit_tests.test_load_kinds__unit_test_1', None, 'test_load_kinds_order_preservation', 'load_kinds', '5', codeflash_loop_index, *_call__bound__arguments.args, **_call__bound__arguments.kwargs)
    codeflash_output = codeflash_return_value
    result3 = codeflash_output
    for i in range(len(result1)):
        pass

def test_load_kinds_list_length_consistency():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Verify that the returned list length is consistent.'
    lengths = [len(load_kinds()) for _ in range(50)]