'''simple docstring'''

import tempfile
import unittest

import numpy as np
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError

from transformers import BertConfig, is_flax_available
from transformers.testing_utils import TOKEN, USER, is_staging_test, require_flax


if is_flax_available():
	import os

	from flax.core.frozen_dict import unfreeze
	from flax.traverse_util import flatten_dict

	from transformers import FlaxBertModel

	_UpperCAmelCase				: Optional[Any]							    =				"""0.12"""  # assumed parallelism: 8


@require_flax
@is_staging_test
class       a__				( unittest.TestCase      ):







				"""simple docstring"""



				@classmethod
				def 					_snake_case  (cls		):
										__lowerCAmelCase							       =				TOKEN
										HfFolder.save_token(lowerCAmelCase_		)




				@classmethod
				def 					_snake_case  (cls		):
										try:
																delete_repo(token=cls._token       ,			repo_id='''test-model-flax'''		)
										except HTTPError:
																pass

										try:
																delete_repo(token=cls._token       ,			repo_id='''valid_org/test-model-flax-org'''		)
										except HTTPError:
																pass




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				BertConfig(
										    vocab_size=99       ,			hidden_size=32       ,			num_hidden_layers=5       ,			num_attention_heads=4       ,			intermediate_size=37		)
										__lowerCAmelCase							       =				FlaxBertModel(lowerCAmelCase_		)
										model.push_to_hub('''test-model-flax'''       ,			use_auth_token=self._token		)

										__lowerCAmelCase							       =				FlaxBertModel.from_pretrained(F"""{USER}/test-model-flax"""		)

										__lowerCAmelCase							       =				flatten_dict(unfreeze(model.params		)		)
										__lowerCAmelCase							       =				flatten_dict(unfreeze(new_model.params		)		)

										for key in base_params.keys():
																__lowerCAmelCase							       =				(base_params[key] - new_params[key]).sum().item()
																self.assertLessEqual(lowerCAmelCase_       ,			1e-3       ,			msg=F"""{key} not identical"""		)

										# Reset repo
										delete_repo(token=self._token       ,			repo_id='''test-model-flax'''		)

										# Push to hub via save_pretrained
										with tempfile.TemporaryDirectory() as tmp_dir:
																model.save_pretrained(lowerCAmelCase_       ,			repo_id='''test-model-flax'''       ,			push_to_hub=lowerCAmelCase_       ,			use_auth_token=self._token		)

										__lowerCAmelCase							       =				FlaxBertModel.from_pretrained(F"""{USER}/test-model-flax"""		)

										__lowerCAmelCase							       =				flatten_dict(unfreeze(model.params		)		)
										__lowerCAmelCase							       =				flatten_dict(unfreeze(new_model.params		)		)

										for key in base_params.keys():
																__lowerCAmelCase							       =				(base_params[key] - new_params[key]).sum().item()
																self.assertLessEqual(lowerCAmelCase_       ,			1e-3       ,			msg=F"""{key} not identical"""		)




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				BertConfig(
										    vocab_size=99       ,			hidden_size=32       ,			num_hidden_layers=5       ,			num_attention_heads=4       ,			intermediate_size=37		)
										__lowerCAmelCase							       =				FlaxBertModel(lowerCAmelCase_		)
										model.push_to_hub('''valid_org/test-model-flax-org'''       ,			use_auth_token=self._token		)

										__lowerCAmelCase							       =				FlaxBertModel.from_pretrained('''valid_org/test-model-flax-org'''		)

										__lowerCAmelCase							       =				flatten_dict(unfreeze(model.params		)		)
										__lowerCAmelCase							       =				flatten_dict(unfreeze(new_model.params		)		)

										for key in base_params.keys():
																__lowerCAmelCase							       =				(base_params[key] - new_params[key]).sum().item()
																self.assertLessEqual(lowerCAmelCase_       ,			1e-3       ,			msg=F"""{key} not identical"""		)

										# Reset repo
										delete_repo(token=self._token       ,			repo_id='''valid_org/test-model-flax-org'''		)

										# Push to hub via save_pretrained
										with tempfile.TemporaryDirectory() as tmp_dir:
																model.save_pretrained(
																    lowerCAmelCase_       ,			repo_id='''valid_org/test-model-flax-org'''       ,			push_to_hub=lowerCAmelCase_       ,			use_auth_token=self._token		)

										__lowerCAmelCase							       =				FlaxBertModel.from_pretrained('''valid_org/test-model-flax-org'''		)

										__lowerCAmelCase							       =				flatten_dict(unfreeze(model.params		)		)
										__lowerCAmelCase							       =				flatten_dict(unfreeze(new_model.params		)		)

										for key in base_params.keys():
																__lowerCAmelCase							       =				(base_params[key] - new_params[key]).sum().item()
																self.assertLessEqual(lowerCAmelCase_       ,			1e-3       ,			msg=F"""{key} not identical"""		)

def 							__magic_name__(						lowerCamelCase,				lowerCamelCase):
						__lowerCAmelCase							       =				True
						__lowerCAmelCase							       =				flatten_dict(modela.params)
						__lowerCAmelCase							       =				flatten_dict(modela.params)
						for key in flat_params_a.keys():
												if np.sum(np.abs(flat_params_a[key] - flat_params_a[key])) > 1E-4:
																		__lowerCAmelCase							       =				False

						return models_are_equal




@require_flax
class       a__				( unittest.TestCase      ):







				"""simple docstring"""



				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				BertConfig.from_pretrained('''hf-internal-testing/tiny-bert-flax-only'''		)
										__lowerCAmelCase							       =				FlaxBertModel(lowerCAmelCase_		)

										__lowerCAmelCase							       =				'''bert'''
										with tempfile.TemporaryDirectory() as tmp_dir:
																model.save_pretrained(os.path.join(lowerCAmelCase_       ,			lowerCAmelCase_		)		)

																with self.assertRaises(lowerCAmelCase_		):
																						__lowerCAmelCase							       =				FlaxBertModel.from_pretrained(lowerCAmelCase_		)

																__lowerCAmelCase							       =				FlaxBertModel.from_pretrained(lowerCAmelCase_       ,			subfolder=lowerCAmelCase_		)

										self.assertTrue(check_models_equal(lowerCAmelCase_       ,			lowerCAmelCase_		)		)




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				BertConfig.from_pretrained('''hf-internal-testing/tiny-bert-flax-only'''		)
										__lowerCAmelCase							       =				FlaxBertModel(lowerCAmelCase_		)

										__lowerCAmelCase							       =				'''bert'''
										with tempfile.TemporaryDirectory() as tmp_dir:
																model.save_pretrained(os.path.join(lowerCAmelCase_       ,			lowerCAmelCase_		)       ,			max_shard_size='''10KB'''		)

																with self.assertRaises(lowerCAmelCase_		):
																						__lowerCAmelCase							       =				FlaxBertModel.from_pretrained(lowerCAmelCase_		)

																__lowerCAmelCase							       =				FlaxBertModel.from_pretrained(lowerCAmelCase_       ,			subfolder=lowerCAmelCase_		)

										self.assertTrue(check_models_equal(lowerCAmelCase_       ,			lowerCAmelCase_		)		)




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				'''bert'''
										__lowerCAmelCase							       =				'''hf-internal-testing/tiny-random-bert-subfolder'''

										with self.assertRaises(lowerCAmelCase_		):
																__lowerCAmelCase							       =				FlaxBertModel.from_pretrained(lowerCAmelCase_		)

										__lowerCAmelCase							       =				FlaxBertModel.from_pretrained(lowerCAmelCase_       ,			subfolder=lowerCAmelCase_		)

										self.assertIsNotNone(lowerCAmelCase_		)




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				'''bert'''
										__lowerCAmelCase							       =				'''hf-internal-testing/tiny-random-bert-sharded-subfolder'''
										with self.assertRaises(lowerCAmelCase_		):
																__lowerCAmelCase							       =				FlaxBertModel.from_pretrained(lowerCAmelCase_		)

										__lowerCAmelCase							       =				FlaxBertModel.from_pretrained(lowerCAmelCase_       ,			subfolder=lowerCAmelCase_		)

										self.assertIsNotNone(lowerCAmelCase_		)





'''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)

