
"""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

    _a		       =							'0.12'  # assumed parallelism: 8


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




  '''simple docstring'''







  @classmethod
  def        UpperCamelCase__					(		cls  ):

     """simple docstring"""
     UpperCAmelCase_					:					Any			     =    TOKEN
     HfFolder.save_token(lowercase_  )







  @classmethod
  def        UpperCamelCase__					(		cls  ):

     """simple docstring"""
     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        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					List[str]			     =    BertConfig(
         vocab_size=99				,   hidden_size=32				,   num_hidden_layers=5				,   num_attention_heads=4				,   intermediate_size=37  )
     UpperCAmelCase_					:					Optional[Any]			     =    FlaxBertModel(lowercase_  )
     model.push_to_hub("test-model-flax"				,   use_auth_token=self._token  )

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

     UpperCAmelCase_					:					Any			     =    flatten_dict(unfreeze(model.params  )  )
     UpperCAmelCase_					:					str			     =    flatten_dict(unfreeze(new_model.params  )  )

     for key in base_params.keys():
        UpperCAmelCase_					:					Union[str, Any]			     =    (base_params[key] - new_params[key]).sum().item()
        self.assertLessEqual(lowercase_				,   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(lowercase_				,   repo_id="test-model-flax"				,   push_to_hub=lowercase_				,   use_auth_token=self._token  )

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

     UpperCAmelCase_					:					Optional[Any]			     =    flatten_dict(unfreeze(model.params  )  )
     UpperCAmelCase_					:					Dict			     =    flatten_dict(unfreeze(new_model.params  )  )

     for key in base_params.keys():
        UpperCAmelCase_					:					Union[str, Any]			     =    (base_params[key] - new_params[key]).sum().item()
        self.assertLessEqual(lowercase_				,   1E-3				,   msg=F"""{key} not identical"""  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Any			     =    BertConfig(
         vocab_size=99				,   hidden_size=32				,   num_hidden_layers=5				,   num_attention_heads=4				,   intermediate_size=37  )
     UpperCAmelCase_					:					Tuple			     =    FlaxBertModel(lowercase_  )
     model.push_to_hub("valid_org/test-model-flax-org"				,   use_auth_token=self._token  )

     UpperCAmelCase_					:					Union[str, Any]			     =    FlaxBertModel.from_pretrained("valid_org/test-model-flax-org"  )

     UpperCAmelCase_					:					List[str]			     =    flatten_dict(unfreeze(model.params  )  )
     UpperCAmelCase_					:					Any			     =    flatten_dict(unfreeze(new_model.params  )  )

     for key in base_params.keys():
        UpperCAmelCase_					:					List[str]			     =    (base_params[key] - new_params[key]).sum().item()
        self.assertLessEqual(lowercase_				,   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(
            lowercase_				,   repo_id="valid_org/test-model-flax-org"				,   push_to_hub=lowercase_				,   use_auth_token=self._token  )

     UpperCAmelCase_					:					List[Any]			     =    FlaxBertModel.from_pretrained("valid_org/test-model-flax-org"  )

     UpperCAmelCase_					:					Optional[int]			     =    flatten_dict(unfreeze(model.params  )  )
     UpperCAmelCase_					:					Any			     =    flatten_dict(unfreeze(new_model.params  )  )

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







def 	__a     (		__lowerCamelCase,		__lowerCamelCase  ):
   UpperCAmelCase_					:					Optional[Any]			     =    True
   UpperCAmelCase_					:					int			     =    flatten_dict(modela.params  )
   UpperCAmelCase_					:					str			     =    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:
         UpperCAmelCase_					:					Optional[int]			     =    False

   return models_are_equal


@require_flax
class A_	(unittest.TestCase      ):




  '''simple docstring'''







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Any			     =    BertConfig.from_pretrained("hf-internal-testing/tiny-bert-flax-only"  )
     UpperCAmelCase_					:					Optional[Any]			     =    FlaxBertModel(lowercase_  )

     UpperCAmelCase_					:					Any			     =    "bert"
     with tempfile.TemporaryDirectory() as tmp_dir:
        model.save_pretrained(os.path.join(lowercase_				,   lowercase_  )  )

        with self.assertRaises(lowercase_  ):
           UpperCAmelCase_					:					int			     =    FlaxBertModel.from_pretrained(lowercase_  )

        UpperCAmelCase_					:					Union[str, Any]			     =    FlaxBertModel.from_pretrained(lowercase_				,   subfolder=lowercase_  )

     self.assertTrue(check_models_equal(lowercase_				,   lowercase_  )  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					List[str]			     =    BertConfig.from_pretrained("hf-internal-testing/tiny-bert-flax-only"  )
     UpperCAmelCase_					:					str			     =    FlaxBertModel(lowercase_  )

     UpperCAmelCase_					:					Optional[Any]			     =    "bert"
     with tempfile.TemporaryDirectory() as tmp_dir:
        model.save_pretrained(os.path.join(lowercase_				,   lowercase_  )				,   max_shard_size="10KB"  )

        with self.assertRaises(lowercase_  ):
           UpperCAmelCase_					:					str			     =    FlaxBertModel.from_pretrained(lowercase_  )

        UpperCAmelCase_					:					str			     =    FlaxBertModel.from_pretrained(lowercase_				,   subfolder=lowercase_  )

     self.assertTrue(check_models_equal(lowercase_				,   lowercase_  )  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					int			     =    "bert"
     UpperCAmelCase_					:					Dict			     =    "hf-internal-testing/tiny-random-bert-subfolder"

     with self.assertRaises(lowercase_  ):
        UpperCAmelCase_					:					Union[str, Any]			     =    FlaxBertModel.from_pretrained(lowercase_  )

     UpperCAmelCase_					:					Any			     =    FlaxBertModel.from_pretrained(lowercase_				,   subfolder=lowercase_  )

     self.assertIsNotNone(lowercase_  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					str			     =    "bert"
     UpperCAmelCase_					:					Optional[Any]			     =    "hf-internal-testing/tiny-random-bert-sharded-subfolder"
     with self.assertRaises(lowercase_  ):
        UpperCAmelCase_					:					Any			     =    FlaxBertModel.from_pretrained(lowercase_  )

     UpperCAmelCase_					:					Optional[Any]			     =    FlaxBertModel.from_pretrained(lowercase_				,   subfolder=lowercase_  )

     self.assertIsNotNone(lowercase_  )






'''simple docstring'''






# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__A					:  Dict											=      {"configuration_timm_backbone": ["TimmBackboneConfig"]}


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __A					:  str											=      ["TimmBackbone"]


if TYPE_CHECKING:
  from .configuration_timm_backbone import TimmBackboneConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_timm_backbone import TimmBackbone

else:
  import sys

  __A					:  Dict											=      _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



