





import copy
import tempfile
import unittest

from huggingface_hub import HfFolder, delete_repo
from parameterized import parameterized
from requests.exceptions import HTTPError

from transformers import AutoConfig, GenerationConfig
from transformers.testing_utils import TOKEN, USER, is_staging_test

class 		UpperCamelCase__			(				unittest.TestCase       ):



					'''simple docstring'''

					@parameterized.expand([(None,), ("""foo.json""",)]	)
					def     SCREAMING_SNAKE_CASE__  (							self						:   int						,lowerCamelCase__						:   int	)					->		Any:




											'''simple docstring'''


											SCREAMING_SNAKE_CASE		=						GenerationConfig(
											    do_sample=lowerCamelCase__						,temperature=0.7						,length_penalty=1.0						,bad_words_ids=[[1, 2, 3], [4, 5]]						,)
											with tempfile.TemporaryDirectory() as tmp_dir:
																	config.save_pretrained(lowerCamelCase__						,config_name=lowerCamelCase__	)
																	SCREAMING_SNAKE_CASE		=						GenerationConfig.from_pretrained(lowerCamelCase__						,config_name=lowerCamelCase__	)

											# Checks parameters that were specified
											self.assertEqual(loaded_config.do_sample						,lowerCamelCase__	)
											self.assertEqual(loaded_config.temperature						,0.7	)
											self.assertEqual(loaded_config.length_penalty						,1.0	)
											self.assertEqual(loaded_config.bad_words_ids						,[[1, 2, 3], [4, 5]]	)

											# Checks parameters that were not specified (defaults)
											self.assertEqual(loaded_config.top_k						,50	)
											self.assertEqual(loaded_config.max_length						,20	)
											self.assertEqual(loaded_config.max_time						,lowerCamelCase__	)






					def     SCREAMING_SNAKE_CASE__  (							self						:   List[Any]	)					->		Tuple:




											'''simple docstring'''


											SCREAMING_SNAKE_CASE		=						AutoConfig.from_pretrained("""gpt2"""	)
											SCREAMING_SNAKE_CASE		=						GenerationConfig.from_model_config(lowerCamelCase__	)
											SCREAMING_SNAKE_CASE		=						GenerationConfig()

											# The generation config has loaded a few non-default parameters from the model config
											self.assertNotEqual(lowerCamelCase__						,lowerCamelCase__	)

											# One of those parameters is eos_token_id -- check if it matches
											self.assertNotEqual(generation_config_from_model.eos_token_id						,default_generation_config.eos_token_id	)
											self.assertEqual(generation_config_from_model.eos_token_id						,model_config.eos_token_id	)






					def     SCREAMING_SNAKE_CASE__  (							self						:   Optional[Any]	)					->		Dict:




											'''simple docstring'''


											SCREAMING_SNAKE_CASE		=						GenerationConfig()
											SCREAMING_SNAKE_CASE		=						{
											    """max_new_tokens""": 1024,
											    """foo""": """bar""",
											}
											SCREAMING_SNAKE_CASE		=						copy.deepcopy(lowerCamelCase__	)
											SCREAMING_SNAKE_CASE		=						generation_config.update(**lowerCamelCase__	)

											# update_kwargs was not modified (no side effects)
											self.assertEqual(lowerCamelCase__						,lowerCamelCase__	)

											# update_kwargs was used to update the config on valid attributes
											self.assertEqual(generation_config.max_new_tokens						,1024	)

											# `.update()` returns a dictionary of unused kwargs
											self.assertEqual(lowerCamelCase__						,{"""foo""": """bar"""}	)






					def     SCREAMING_SNAKE_CASE__  (							self						:   Optional[int]	)					->		int:




											'''simple docstring'''


											SCREAMING_SNAKE_CASE		=						GenerationConfig()
											SCREAMING_SNAKE_CASE		=						"""bar"""

											with tempfile.TemporaryDirectory("""test-generation-config"""	) as tmp_dir:
																	generation_config.save_pretrained(lowerCamelCase__	)

																	SCREAMING_SNAKE_CASE		=						GenerationConfig.from_pretrained(lowerCamelCase__	)
											# update_kwargs was used to update the config on valid attributes
											self.assertEqual(new_config.foo						,"""bar"""	)

											SCREAMING_SNAKE_CASE		=						GenerationConfig.from_model_config(lowerCamelCase__	)
											assert not hasattr(lowerCamelCase__						,"""foo"""	)  # no new kwargs should be initialized if from config






					def     SCREAMING_SNAKE_CASE__  (							self						:   Tuple	)					->		int:




											'''simple docstring'''


											SCREAMING_SNAKE_CASE		=						GenerationConfig()
											self.assertEqual(default_config.temperature						,1.0	)
											self.assertEqual(default_config.do_sample						,lowerCamelCase__	)
											self.assertEqual(default_config.num_beams						,1	)

											SCREAMING_SNAKE_CASE		=						GenerationConfig(
											    do_sample=lowerCamelCase__						,temperature=0.7						,length_penalty=1.0						,bad_words_ids=[[1, 2, 3], [4, 5]]						,)
											self.assertEqual(config.temperature						,0.7	)
											self.assertEqual(config.do_sample						,lowerCamelCase__	)
											self.assertEqual(config.num_beams						,1	)

											with tempfile.TemporaryDirectory() as tmp_dir:
																	config.save_pretrained(lowerCamelCase__	)
																	SCREAMING_SNAKE_CASE		=						GenerationConfig.from_pretrained(lowerCamelCase__						,temperature=1.0	)

											self.assertEqual(loaded_config.temperature						,1.0	)
											self.assertEqual(loaded_config.do_sample						,lowerCamelCase__	)
											self.assertEqual(loaded_config.num_beams						,1	)  # default value

@is_staging_test
class 		UpperCamelCase__			(				unittest.TestCase       ):



					'''simple docstring'''

					@classmethod
					def     SCREAMING_SNAKE_CASE__  (							cls						:   Optional[int]	)					->		List[str]:




											'''simple docstring'''


											SCREAMING_SNAKE_CASE		=						TOKEN
											HfFolder.save_token(lowerCamelCase__	)






					@classmethod
					def     SCREAMING_SNAKE_CASE__  (							cls						:   Any	)					->		Union[str, Any]:




											'''simple docstring'''


											try:
																	delete_repo(token=cls._token						,repo_id="""test-generation-config"""	)
											except HTTPError:
																	pass

											try:
																	delete_repo(token=cls._token						,repo_id="""valid_org/test-generation-config-org"""	)
											except HTTPError:
																	pass






					def     SCREAMING_SNAKE_CASE__  (							self						:   List[Any]	)					->		Any:




											'''simple docstring'''


											SCREAMING_SNAKE_CASE		=						GenerationConfig(
											    do_sample=lowerCamelCase__						,temperature=0.7						,length_penalty=1.0						,)
											config.push_to_hub("""test-generation-config"""						,use_auth_token=self._token	)

											SCREAMING_SNAKE_CASE		=						GenerationConfig.from_pretrained(F"""{USER}/test-generation-config"""	)
											for k, v in config.to_dict().items():
																	if k != "transformers_version":
																							self.assertEqual(lowerCamelCase__						,getattr(lowerCamelCase__						,lowerCamelCase__	)	)

        # Reset repo
											delete_repo(token=self._token						,repo_id="""test-generation-config"""	)

											# Push to hub via save_pretrained
											with tempfile.TemporaryDirectory() as tmp_dir:
																	config.save_pretrained(
																	    lowerCamelCase__						,repo_id="""test-generation-config"""						,push_to_hub=lowerCamelCase__						,use_auth_token=self._token	)

											SCREAMING_SNAKE_CASE		=						GenerationConfig.from_pretrained(F"""{USER}/test-generation-config"""	)
											for k, v in config.to_dict().items():
																	if k != "transformers_version":
																							self.assertEqual(lowerCamelCase__						,getattr(lowerCamelCase__						,lowerCamelCase__	)	)






					def     SCREAMING_SNAKE_CASE__  (							self						:   Union[str, Any]	)					->		Union[str, Any]:




											'''simple docstring'''


											SCREAMING_SNAKE_CASE		=						GenerationConfig(
											    do_sample=lowerCamelCase__						,temperature=0.7						,length_penalty=1.0						,)
											config.push_to_hub("""valid_org/test-generation-config-org"""						,use_auth_token=self._token	)

											SCREAMING_SNAKE_CASE		=						GenerationConfig.from_pretrained("""valid_org/test-generation-config-org"""	)
											for k, v in config.to_dict().items():
																	if k != "transformers_version":
																							self.assertEqual(lowerCamelCase__						,getattr(lowerCamelCase__						,lowerCamelCase__	)	)

        # Reset repo
											delete_repo(token=self._token						,repo_id="""valid_org/test-generation-config-org"""	)

											# Push to hub via save_pretrained
											with tempfile.TemporaryDirectory() as tmp_dir:
																	config.save_pretrained(
																	    lowerCamelCase__						,repo_id="""valid_org/test-generation-config-org"""						,push_to_hub=lowerCamelCase__						,use_auth_token=self._token	)

											SCREAMING_SNAKE_CASE		=						GenerationConfig.from_pretrained("""valid_org/test-generation-config-org"""	)
											for k, v in config.to_dict().items():
																	if k != "transformers_version":
																							self.assertEqual(lowerCamelCase__						,getattr(lowerCamelCase__						,lowerCamelCase__	)	)









import json
import sys



def        __lowercase       (				_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     )			->       Any:


      '''simple docstring'''


      with open(_SCREAMING_SNAKE_CASE			,						encoding="""utf-8"""     ) as f:
            SCREAMING_SNAKE_CASE		=						json.load(_SCREAMING_SNAKE_CASE     )

      SCREAMING_SNAKE_CASE		=						["""<details>""", """<summary>Show updated benchmarks!</summary>""", """ """]

      for benchmark_name in sorted(_SCREAMING_SNAKE_CASE     ):
            SCREAMING_SNAKE_CASE		=						results[benchmark_name]

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

            SCREAMING_SNAKE_CASE		=						"""| metric |"""
            SCREAMING_SNAKE_CASE		=						"""|--------|"""
            SCREAMING_SNAKE_CASE		=						"""| new / old (diff) |"""
            for metric_name in sorted(_SCREAMING_SNAKE_CASE     ):
                  SCREAMING_SNAKE_CASE		=						benchmark_res[metric_name]
                  SCREAMING_SNAKE_CASE		=						metric_vals["""new"""]
                  SCREAMING_SNAKE_CASE		=						metric_vals.get("""old"""			,						_SCREAMING_SNAKE_CASE     )
                  SCREAMING_SNAKE_CASE		=						metric_vals.get("""diff"""			,						_SCREAMING_SNAKE_CASE     )

                  SCREAMING_SNAKE_CASE		=						F""" {new_val:f}""" if isinstance(_SCREAMING_SNAKE_CASE			,						(int, float)     ) else """None"""

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

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

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

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

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


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

      format_json_to_md(input_json_file, output_md_file)


