






"""simple docstring"""
import json
import sys






def 			__UpperCamelCase	(		snake_case__   ,   snake_case__					):

	with open(UpperCAmelCase__   ,   encoding="""utf-8"""					) as f:
		A_		:						int	    =   json.load(UpperCAmelCase__					)

	A_		:						str	    =   ["""<details>""", """<summary>Show updated benchmarks!</summary>""", """ """]

	for benchmark_name in sorted(UpperCAmelCase__					):
		A_		:						str	    =   results[benchmark_name]

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

		A_		:						Optional[Any]	    =   """| metric |"""
		A_		:						Optional[Any]	    =   """|--------|"""
		A_		:						List[str]	    =   """| new / old (diff) |"""
		for metric_name in sorted(UpperCAmelCase__					):
			A_		:						Union[str, Any]	    =   benchmark_res[metric_name]
			A_		:						Union[str, Any]	    =   metric_vals["""new"""]
			A_		:						str	    =   metric_vals.get("""old"""   ,   UpperCAmelCase__					)
			A_		:						str	    =   metric_vals.get("""diff"""   ,   UpperCAmelCase__					)

			A_		:						List[Any]	    =   F""" {new_val:f}""" if isinstance(UpperCAmelCase__   ,   (int, float)					) else """None"""

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

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

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

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

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


if __name__ == "__main__":
							_lowerCAmelCase         =		sys.argv[1]
							_lowerCAmelCase         =		sys.argv[2]

							format_json_to_md(input_json_file, output_md_file)









"""simple docstring"""
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding



class      SCREAMING_SNAKE_CASE  (				_SCREAMING_SNAKE_CASE						):





	"""simple docstring"""




	_A       :				Optional[int]    =				["""image_processor""", """tokenizer"""]
	_A       :				str    =				"""AutoImageProcessor"""
	_A       :				Union[str, Any]    =				"""AutoTokenizer"""





	def __init__(self     ,     lowerCAmelCase_     ,     lowerCAmelCase_							):
		super().__init__(lowerCAmelCase_     ,     lowerCAmelCase_							)
		A_		:						Union[str, Any]	    =   self.image_processor





	def __call__(self     ,     lowerCAmelCase_=None     ,     lowerCAmelCase_=None     ,     lowerCAmelCase_=None     ,     **lowerCAmelCase_							):

		if text is None and images is None:
			raise ValueError("""You have to specify either text or images. Both cannot be none."""							)

		if text is not None:
			A_		:						Optional[int]	    =   self.tokenizer(lowerCAmelCase_     ,     return_tensors=lowerCAmelCase_     ,     **lowerCAmelCase_							)

		if images is not None:
			A_		:						List[Any]	    =   self.image_processor(lowerCAmelCase_     ,     return_tensors=lowerCAmelCase_     ,     **lowerCAmelCase_							)

		if text is not None and images is not None:
			A_		:						int	    =   image_features.pixel_values
			return encoding
		elif text is not None:
			return encoding
		else:
			return BatchEncoding(data=dict(**lowerCAmelCase_							)     ,     tensor_type=lowerCAmelCase_							)





	def    lowerCamelCase(self     ,     *lowerCAmelCase_     ,     **lowerCAmelCase_							):
		return self.tokenizer.batch_decode(*lowerCAmelCase_     ,     **lowerCAmelCase_							)





	def    lowerCamelCase(self     ,     *lowerCAmelCase_     ,     **lowerCAmelCase_							):
		return self.tokenizer.decode(*lowerCAmelCase_     ,     **lowerCAmelCase_							)





	@property
	def    lowerCamelCase(self							):
		return ["input_ids", "attention_mask", "pixel_values"]

