


'''simple docstring'''

_UpperCAmelCase				: List[str]							    =				frozenset(
    [
        """prompt""",
        """height""",
        """width""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
        """cross_attention_kwargs""",
    ]
)

_UpperCAmelCase				: Optional[int]							    =				frozenset(["""prompt""", """negative_prompt"""])

_UpperCAmelCase				: List[str]							    =				frozenset([])

_UpperCAmelCase				: Tuple							    =				frozenset(["""image"""])

_UpperCAmelCase				: Any							    =				frozenset(
    [
        """image""",
        """height""",
        """width""",
        """guidance_scale""",
    ]
)

_UpperCAmelCase				: str							    =				frozenset(["""image"""])

_UpperCAmelCase				: str							    =				frozenset(
    [
        """prompt""",
        """image""",
        """height""",
        """width""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
    ]
)

_UpperCAmelCase				: Dict							    =				frozenset(["""prompt""", """image""", """negative_prompt"""])

_UpperCAmelCase				: Dict							    =				frozenset(
    [
        # Text guided image variation with an image mask
        """prompt""",
        """image""",
        """mask_image""",
        """height""",
        """width""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
    ]
)

_UpperCAmelCase				: Dict							    =				frozenset(["""prompt""", """image""", """mask_image""", """negative_prompt"""])

_UpperCAmelCase				: List[Any]							    =				frozenset(
    [
        # image variation with an image mask
        """image""",
        """mask_image""",
        """height""",
        """width""",
        """guidance_scale""",
    ]
)

_UpperCAmelCase				: int							    =				frozenset(["""image""", """mask_image"""])

_UpperCAmelCase				: Any							    =				frozenset(
    [
        """example_image""",
        """image""",
        """mask_image""",
        """height""",
        """width""",
        """guidance_scale""",
    ]
)

_UpperCAmelCase				: Tuple							    =				frozenset(["""example_image""", """image""", """mask_image"""])

_UpperCAmelCase				: str							    =				frozenset(["""class_labels"""])

_UpperCAmelCase				: int							    =				frozenset(["""class_labels"""])

_UpperCAmelCase				: List[Any]							    =				frozenset(["""batch_size"""])

_UpperCAmelCase				: Dict							    =				frozenset([])

_UpperCAmelCase				: List[str]							    =				frozenset(["""batch_size"""])

_UpperCAmelCase				: List[Any]							    =				frozenset([])

_UpperCAmelCase				: Any							    =				frozenset(
    [
        """prompt""",
        """audio_length_in_s""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
        """cross_attention_kwargs""",
    ]
)

_UpperCAmelCase				: Optional[int]							    =				frozenset(["""prompt""", """negative_prompt"""])
_UpperCAmelCase				: Any							    =				frozenset(["""input_tokens"""])

_UpperCAmelCase				: List[str]							    =				frozenset(["""input_tokens"""])





'''simple docstring'''

import json
import sys

def 							__magic_name__(						lowerCamelCase,				lowerCamelCase):
						with open(lowerCamelCase,				encoding='''utf-8''') as f:
												__lowerCAmelCase							       =				json.load(lowerCamelCase)

						__lowerCAmelCase							       =				['''<details>''', '''<summary>Show updated benchmarks!</summary>''', ''' ''']

						for benchmark_name in sorted(lowerCamelCase):
												__lowerCAmelCase							       =				results[benchmark_name]

												__lowerCAmelCase							       =				benchmark_name.split('''/''')[-1]
												output_md.append(F"""### Benchmark: {benchmark_file_name}""")

												__lowerCAmelCase							       =				'''| metric |'''
												__lowerCAmelCase							       =				'''|--------|'''
												__lowerCAmelCase							       =				'''| new / old (diff) |'''
												for metric_name in sorted(lowerCamelCase):
																		__lowerCAmelCase							       =				benchmark_res[metric_name]
																		__lowerCAmelCase							       =				metric_vals['''new''']
																		__lowerCAmelCase							       =				metric_vals.get('''old''',				lowerCamelCase)
																		__lowerCAmelCase							       =				metric_vals.get('''diff''',				lowerCamelCase)

																		__lowerCAmelCase							       =				F""" {new_val:f}""" if isinstance(lowerCamelCase,				(int, float)) else '''None'''

																		if old_val is not None:
																								val_str += F""" / {old_val:f}""" if isinstance(lowerCamelCase,				(int, float)) else "None"
																		if dif_val is not None:
																								val_str += F""" ({dif_val:f})""" if isinstance(lowerCamelCase,				(int, float)) else "None"

																		title += " " + metric_name + " |"
																		lines += "---|"
																		value += val_str + " |"

												output_md += [title, lines, value, " "]

						output_md.append('''</details>''')

						with open(lowerCamelCase,				'''w''',				encoding='''utf-8''') as f:
												f.writelines('''\n'''.join(lowerCamelCase))


if __name__ == "__main__":
	_UpperCAmelCase				: str							    =				sys.argv[1]
	_UpperCAmelCase				: Optional[Any]							    =				sys.argv[2]

	format_json_to_md(input_json_file, output_md_file)

