





import unittest

import numpy as np

from transformers import RoFormerConfig, is_flax_available
from transformers.testing_utils import require_flax, slow

from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask


if is_flax_available():
     import jax.numpy as jnp

     from transformers.models.roformer.modeling_flax_roformer import (
         FlaxRoFormerForMaskedLM,
         FlaxRoFormerForMultipleChoice,
         FlaxRoFormerForQuestionAnswering,
         FlaxRoFormerForSequenceClassification,
         FlaxRoFormerForTokenClassification,
         FlaxRoFormerModel,
     )

class      A       (	unittest.TestCase						):



      def __init__(	self:						Dict		,  _lowerCAmelCase:						Optional[Any]		,  _lowerCAmelCase:						Any=13		,  _lowerCAmelCase:						List[str]=7		,  _lowerCAmelCase:						Any=True		,  _lowerCAmelCase:						Any=True		,  _lowerCAmelCase:						List[str]=True		,  _lowerCAmelCase:						List[str]=True		,  _lowerCAmelCase:						Optional[Any]=99		,  _lowerCAmelCase:						Dict=32		,  _lowerCAmelCase:						int=5		,  _lowerCAmelCase:						Dict=4		,  _lowerCAmelCase:						List[Any]=37		,  _lowerCAmelCase:						Any="gelu"		,  _lowerCAmelCase:						Any=0.1		,  _lowerCAmelCase:						str=0.1		,  _lowerCAmelCase:						Dict=512		,  _lowerCAmelCase:						List[Any]=16		,  _lowerCAmelCase:						Optional[Any]=2		,  _lowerCAmelCase:						str=0.02		,  _lowerCAmelCase:						int=4		,  )						->    str:
         '''simple docstring'''

         UpperCAmelCase_											=parent
         UpperCAmelCase_											=batch_size
         UpperCAmelCase_											=seq_length
         UpperCAmelCase_											=is_training
         UpperCAmelCase_											=use_attention_mask
         UpperCAmelCase_											=use_token_type_ids
         UpperCAmelCase_											=use_labels
         UpperCAmelCase_											=vocab_size
         UpperCAmelCase_											=hidden_size
         UpperCAmelCase_											=num_hidden_layers
         UpperCAmelCase_											=num_attention_heads
         UpperCAmelCase_											=intermediate_size
         UpperCAmelCase_											=hidden_act
         UpperCAmelCase_											=hidden_dropout_prob
         UpperCAmelCase_											=attention_probs_dropout_prob
         UpperCAmelCase_											=max_position_embeddings
         UpperCAmelCase_											=type_vocab_size
         UpperCAmelCase_											=type_sequence_label_size
         UpperCAmelCase_											=initializer_range
         UpperCAmelCase_											=num_choices



      def 	lowerCAmelCase__    (	self:						int       )						->    Optional[Any]:
         '''simple docstring'''

         UpperCAmelCase_											=ids_tensor([self.batch_size, self.seq_length]		,  self.vocab_size       )

         UpperCAmelCase_											=None
         if self.use_attention_mask:
            UpperCAmelCase_											=random_attention_mask([self.batch_size, self.seq_length]       )

         UpperCAmelCase_											=None
         if self.use_token_type_ids:
            UpperCAmelCase_											=ids_tensor([self.batch_size, self.seq_length]		,  self.type_vocab_size       )

         UpperCAmelCase_											=RoFormerConfig(
             vocab_size=self.vocab_size		,  hidden_size=self.hidden_size		,  num_hidden_layers=self.num_hidden_layers		,  num_attention_heads=self.num_attention_heads		,  intermediate_size=self.intermediate_size		,  hidden_act=self.hidden_act		,  hidden_dropout_prob=self.hidden_dropout_prob		,  attention_probs_dropout_prob=self.attention_probs_dropout_prob		,  max_position_embeddings=self.max_position_embeddings		,  type_vocab_size=self.type_vocab_size		,  is_decoder=_lowerCAmelCase		,  initializer_range=self.initializer_range		,  )

         return config, input_ids, token_type_ids, attention_mask






      def 	lowerCAmelCase__    (	self:						Dict       )						->    int:
         '''simple docstring'''

         UpperCAmelCase_											=self.prepare_config_and_inputs()
         UpperCAmelCase_						,       UpperCAmelCase_						,       UpperCAmelCase_						,       UpperCAmelCase_											=config_and_inputs
         UpperCAmelCase_											={"input_ids": input_ids, "token_type_ids": token_type_ids, "attention_mask": attention_mask}
         return config, inputs_dict

@require_flax
class      A       (	__lowercase		,      unittest.TestCase						):
      _snake_case							     =True

      _snake_case							     =(
          (
              FlaxRoFormerModel,
              FlaxRoFormerForMaskedLM,
              FlaxRoFormerForSequenceClassification,
              FlaxRoFormerForTokenClassification,
              FlaxRoFormerForMultipleChoice,
              FlaxRoFormerForQuestionAnswering,
          )
          if is_flax_available()
          else ()
      )



      def 	lowerCAmelCase__    (	self:						Any       )						->    Optional[Any]:
         '''simple docstring'''

         UpperCAmelCase_											=FlaxRoFormerModelTester(self       )






      @slow
      def 	lowerCAmelCase__    (	self:						int       )						->    Tuple:
         '''simple docstring'''

         for model_class_name in self.all_model_classes:
            UpperCAmelCase_											=model_class_name.from_pretrained("junnyu/roformer_chinese_small"		,  from_pt=_lowerCAmelCase       )
            UpperCAmelCase_											=model(np.ones((1, 1)       )       )
            self.assertIsNotNone(_lowerCAmelCase       )

@require_flax
class      A       (	unittest.TestCase						):



      @slow
      def 	lowerCAmelCase__    (	self:						Optional[int]       )						->    List[Any]:
         '''simple docstring'''

         UpperCAmelCase_											=FlaxRoFormerForMaskedLM.from_pretrained("junnyu/roformer_chinese_base"       )
         UpperCAmelCase_											=jnp.array([[0, 1, 2, 3, 4, 5]]       )
         UpperCAmelCase_											=model(_lowerCAmelCase       )[0]

         UpperCAmelCase_											=5_0000

         UpperCAmelCase_											=(1, 6, vocab_size)
         self.assertEqual(output.shape		,  _lowerCAmelCase       )

         UpperCAmelCase_											=jnp.array(
             [[[-0.12_05, -1.02_65, 0.29_22], [-1.51_34, 0.19_74, 0.15_19], [-5.01_35, -3.90_03, -0.84_04]]]       )

         self.assertTrue(jnp.allclose(output[:, :3, :3]		,  _lowerCAmelCase		,  atol=1e-4       )       )











import json
import os
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from requests.exceptions import HTTPError

from transformers.utils import (
    CONFIG_NAME,
    FLAX_WEIGHTS_NAME,
    TF2_WEIGHTS_NAME,
    TRANSFORMERS_CACHE,
    WEIGHTS_NAME,
    cached_file,
    get_file_from_repo,
    has_file,
)


__lowercase  :   Any						      ="""hf-internal-testing/tiny-random-bert"""
__lowercase  :   List[str]						      =os.path.join(TRANSFORMERS_CACHE, """models--hf-internal-testing--tiny-random-bert""")
__lowercase  :   Dict						      ="""9b8c223d42b2188cb49d29af482996f9d0f3e5a6"""

class      A       (	unittest.TestCase						):



      def 	lowerCAmelCase__    (	self:						List[str]       )						->    str:
         '''simple docstring'''

         UpperCAmelCase_											=cached_file(_lowerCAmelCase		,  _lowerCAmelCase       )
         # Should have downloaded the file in here
         self.assertTrue(os.path.isdir(_lowerCAmelCase       )       )
         # Cache should contain at least those three subfolders:
         for subfolder in ["blobs", "refs", "snapshots"]:
            self.assertTrue(os.path.isdir(os.path.join(_lowerCAmelCase		,  _lowerCAmelCase       )       )       )
         with open(os.path.join(_lowerCAmelCase		,  "refs"		,  "main"       )       ) as f:
            UpperCAmelCase_											=f.read()
         self.assertEqual(_lowerCAmelCase		,  os.path.join(_lowerCAmelCase		,  "snapshots"		,  _lowerCAmelCase		,  _lowerCAmelCase       )       )
         self.assertTrue(os.path.isfile(_lowerCAmelCase       )       )

         # File is cached at the same place the second time.
         UpperCAmelCase_											=cached_file(_lowerCAmelCase		,  _lowerCAmelCase       )
         self.assertEqual(_lowerCAmelCase		,  _lowerCAmelCase       )

         # Using a specific revision to test the full commit hash.
         UpperCAmelCase_											=cached_file(_lowerCAmelCase		,  _lowerCAmelCase		,  revision="9b8c223"       )
         self.assertEqual(_lowerCAmelCase		,  os.path.join(_lowerCAmelCase		,  "snapshots"		,  _lowerCAmelCase		,  _lowerCAmelCase       )       )



      def 	lowerCAmelCase__    (	self:						Any       )						->    Optional[Any]:
         '''simple docstring'''

         with self.assertRaisesRegex(_lowerCAmelCase		,  "is not a valid model identifier"       ):
            UpperCAmelCase_											=cached_file("tiny-random-bert"		,  _lowerCAmelCase       )

         with self.assertRaisesRegex(_lowerCAmelCase		,  "is not a valid git identifier"       ):
            UpperCAmelCase_											=cached_file(_lowerCAmelCase		,  _lowerCAmelCase		,  revision="aaaa"       )

         with self.assertRaisesRegex(_lowerCAmelCase		,  "does not appear to have a file named"       ):
            UpperCAmelCase_											=cached_file(_lowerCAmelCase		,  "conf"       )



      def 	lowerCAmelCase__    (	self:						Tuple       )						->    Optional[Any]:
         '''simple docstring'''

         with self.assertRaisesRegex(_lowerCAmelCase		,  "does not appear to have a file named"       ):
            UpperCAmelCase_											=cached_file(_lowerCAmelCase		,  "conf"       )

         with open(os.path.join(_lowerCAmelCase		,  "refs"		,  "main"       )       ) as f:
            UpperCAmelCase_											=f.read()
         self.assertTrue(os.path.isfile(os.path.join(_lowerCAmelCase		,  ".no_exist"		,  _lowerCAmelCase		,  "conf"       )       )       )

         UpperCAmelCase_											=cached_file(_lowerCAmelCase		,  "conf"		,  _raise_exceptions_for_missing_entries=_lowerCAmelCase       )
         self.assertIsNone(_lowerCAmelCase       )

         UpperCAmelCase_											=cached_file(_lowerCAmelCase		,  "conf"		,  local_files_only=_lowerCAmelCase		,  _raise_exceptions_for_missing_entries=_lowerCAmelCase       )
         self.assertIsNone(_lowerCAmelCase       )

         UpperCAmelCase_											=mock.Mock()
         UpperCAmelCase_											=500
         UpperCAmelCase_											={}
         UpperCAmelCase_											=HTTPError
         UpperCAmelCase_											={}

         # Under the mock environment we get a 500 error when trying to reach the tokenizer.
         with mock.patch("requests.Session.request"		,  return_value=_lowerCAmelCase       ) as mock_head:
            UpperCAmelCase_											=cached_file(_lowerCAmelCase		,  "conf"		,  _raise_exceptions_for_connection_errors=_lowerCAmelCase       )
            self.assertIsNone(_lowerCAmelCase       )
            # This check we did call the fake head request
            mock_head.assert_called()



      def 	lowerCAmelCase__    (	self:						Any       )						->    Tuple:
         '''simple docstring'''

         self.assertTrue(has_file("hf-internal-testing/tiny-bert-pt-only"		,  _lowerCAmelCase       )       )
         self.assertFalse(has_file("hf-internal-testing/tiny-bert-pt-only"		,  _lowerCAmelCase       )       )
         self.assertFalse(has_file("hf-internal-testing/tiny-bert-pt-only"		,  _lowerCAmelCase       )       )



      def 	lowerCAmelCase__    (	self:						Any       )						->    Dict:
         '''simple docstring'''

         self.assertIsNone(get_file_from_repo("bert-base-cased"		,  "ahah.txt"       )       )

         # The function raises if the repository does not exist.
         with self.assertRaisesRegex(_lowerCAmelCase		,  "is not a valid model identifier"       ):
            get_file_from_repo("bert-base-case"		,  _lowerCAmelCase       )

         # The function raises if the revision does not exist.
         with self.assertRaisesRegex(_lowerCAmelCase		,  "is not a valid git identifier"       ):
            get_file_from_repo("bert-base-cased"		,  _lowerCAmelCase		,  revision="ahaha"       )

         UpperCAmelCase_											=get_file_from_repo("bert-base-cased"		,  _lowerCAmelCase       )
         # The name is the cached name which is not very easy to test, so instead we load the content.
         UpperCAmelCase_											=json.loads(open(_lowerCAmelCase		,  "r"       ).read()       )
         self.assertEqual(config["hidden_size"]		,  768       )






      def 	lowerCAmelCase__    (	self:						Optional[int]       )						->    Dict:
         '''simple docstring'''

         with tempfile.TemporaryDirectory() as tmp_dir:
            UpperCAmelCase_											=Path(_lowerCAmelCase       ) / "a.txt"
            filename.touch()
            self.assertEqual(get_file_from_repo(_lowerCAmelCase		,  "a.txt"       )		,  str(_lowerCAmelCase       )       )

            self.assertIsNone(get_file_from_repo(_lowerCAmelCase		,  "b.txt"       )       )




