from __future__ import annotations

import gc
import os
import time

import pytest
from inference.core.workflows.core_steps.models.roboflow.semantic_segmentation.v1 import \
    BlockManifest
from inference.core.workflows.execution_engine.constants import \
    INFERENCE_ID_KEY
from inference.core.workflows.execution_engine.entities.base import \
    OutputDefinition
from inference.core.workflows.execution_engine.entities.types import (
    INFERENCE_ID_KIND, ROBOFLOW_MODEL_ID_KIND,
    SEMANTIC_SEGMENTATION_PREDICTION_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}:{codeflash_duration}######!')
    if exception:
        raise exception
    return return_value

def test_describe_outputs_returns_list():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that describe_outputs returns a list type.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_returns_list', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_describe_outputs_returns_three_items():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that describe_outputs returns exactly three output definitions.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_returns_three_items', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_describe_outputs_all_items_are_output_definitions():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that all items in the returned list are OutputDefinition instances.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_all_items_are_output_definitions', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    for item in result:
        pass

def test_describe_outputs_contains_inference_id_output():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that the first output is the INFERENCE_ID_KEY output.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_contains_inference_id_output', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    inference_id_output = result[0]

def test_describe_outputs_inference_id_has_correct_kind():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that INFERENCE_ID output has the correct kind.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_inference_id_has_correct_kind', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    inference_id_output = result[0]

def test_describe_outputs_contains_predictions_output():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    "Test that the second output is the 'predictions' output."
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_contains_predictions_output', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    predictions_output = result[1]

def test_describe_outputs_predictions_has_correct_kind():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that predictions output has the correct kind.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_predictions_has_correct_kind', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    predictions_output = result[1]

def test_describe_outputs_contains_model_id_output():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    "Test that the third output is the 'model_id' output."
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_contains_model_id_output', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    model_id_output = result[2]

def test_describe_outputs_model_id_has_correct_kind():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that model_id output has the correct kind.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_model_id_has_correct_kind', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    model_id_output = result[2]

def test_describe_outputs_output_order():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that outputs are returned in the expected order.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_output_order', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    expected_names = [INFERENCE_ID_KEY, 'predictions', 'model_id']
    actual_names = [output.name for output in result]

def test_describe_outputs_is_class_method():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that describe_outputs is callable as a class method.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_is_class_method', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_describe_outputs_consistent_across_calls():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that describe_outputs returns the same result on multiple calls.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_consistent_across_calls', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result1 = codeflash_output
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_consistent_across_calls', 'describe_outputs', '3', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result2 = codeflash_output
    for out1, out2 in zip(result1, result2):
        pass

def test_describe_outputs_each_output_has_name():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that each output has a non-empty name attribute.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_each_output_has_name', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    for output in result:
        pass

def test_describe_outputs_each_output_has_kind():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that each output has a kind attribute.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_each_output_has_kind', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    for output in result:
        pass

def test_describe_outputs_kind_is_list_of_strings():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    "Test that each output's kind is a list of strings."
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_kind_is_list_of_strings', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    for output in result:
        for kind_item in output.kind:
            pass

def test_describe_outputs_not_none():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that describe_outputs never returns None.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_not_none', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_describe_outputs_returns_new_list_each_call():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that describe_outputs returns a new list instance each time.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_returns_new_list_each_call', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result1 = codeflash_output
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_returns_new_list_each_call', 'describe_outputs', '3', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result2 = codeflash_output

def test_describe_outputs_output_names_unique():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that all output names are unique.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_output_names_unique', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    names = [output.name for output in result]

def test_describe_outputs_inference_id_kind_contains_inference_id_kind_constant():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    "Test that INFERENCE_ID_KIND constant is present in first output's kind."
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_inference_id_kind_contains_inference_id_kind_constant', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_describe_outputs_predictions_kind_contains_semantic_segmentation_constant():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    "Test that SEMANTIC_SEGMENTATION_PREDICTION_KIND is in predictions output's kind."
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_predictions_kind_contains_semantic_segmentation_constant', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_describe_outputs_model_id_kind_contains_roboflow_model_id_constant():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    "Test that ROBOFLOW_MODEL_ID_KIND is in model_id output's kind."
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_model_id_kind_contains_roboflow_model_id_constant', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_describe_outputs_inference_id_kind_has_exactly_one_item():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that INFERENCE_ID output has exactly one kind.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_inference_id_kind_has_exactly_one_item', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_describe_outputs_predictions_kind_has_exactly_one_item():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that predictions output has exactly one kind.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_predictions_kind_has_exactly_one_item', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_describe_outputs_model_id_kind_has_exactly_one_item():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that model_id output has exactly one kind.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_model_id_kind_has_exactly_one_item', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_describe_outputs_output_names_are_strings():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that all output names are string type.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_output_names_are_strings', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    for output in result:
        pass

def test_describe_outputs_specific_inference_id_constant_value():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that the INFERENCE_ID_KEY constant value matches expected string.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_specific_inference_id_constant_value', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_describe_outputs_no_negative_length():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that output list has non-negative length.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_no_negative_length', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output

def test_describe_outputs_kind_not_empty_lists():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that no output has an empty kind list.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_kind_not_empty_lists', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    for output in result:
        pass

def test_describe_outputs_performance_multiple_calls():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that describe_outputs handles many repeated calls efficiently.'
    results = []
    for i in range(1000):
        codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_performance_multiple_calls', 'describe_outputs', '2_0', codeflash_loop_index)
    first_result = results[0]
    for result in results[1:]:
        for output1, output2 in zip(first_result, result):
            pass

def test_describe_outputs_list_iteration_large_scale():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that the returned list can be efficiently iterated many times.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_list_iteration_large_scale', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    for iteration in range(1000):
        for idx, output in enumerate(result):
            pass

def test_describe_outputs_consistency_across_large_sequence():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test consistency by checking outputs in a large sequence of calls.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_consistency_across_large_sequence', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    baseline = codeflash_output
    baseline_names = [o.name for o in baseline]
    baseline_kinds = [o.kind for o in baseline]
    for call_num in range(500):
        codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_consistency_across_large_sequence', 'describe_outputs', '5_0', codeflash_loop_index)
        codeflash_output = codeflash_return_value
        current = codeflash_output
        current_names = [o.name for o in current]
        current_kinds = [o.kind for o in current]

def test_describe_outputs_output_definition_attributes_accessible_at_scale():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that OutputDefinition attributes are accessible for many items.'
    codeflash_return_value = codeflash_wrap(BlockManifest.describe_outputs, 'tests.inference.unit_tests.test_describe_outputs__unit_test_1', None, 'test_describe_outputs_output_definition_attributes_accessible_at_scale', 'describe_outputs', '1', codeflash_loop_index)
    codeflash_output = codeflash_return_value
    result = codeflash_output
    for _ in range(500):
        for output in result:
            name = output.name
            kind = output.kind
            for kind_item in kind:
                pass