






"""simple docstring"""





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,
)


__lowerCamelCase							=  'hf-internal-testing/tiny-random-bert'
__lowerCamelCase							=  os.path.join(TRANSFORMERS_CACHE, 'models--hf-internal-testing--tiny-random-bert')
__lowerCamelCase							=  '9b8c223d42b2188cb49d29af482996f9d0f3e5a6'



class       __A		(   unittest.TestCase			):

					def   lowerCamelCase__   (			self  :      Tuple					)			->							Optional[int]:
											__magic_name__:	Optional[Any]							=       cached_file(_UpperCAmelCase     ,		_UpperCAmelCase					)
											# Should have downloaded the file in here
											self.assertTrue(os.path.isdir(_UpperCAmelCase					)					)
											# Cache should contain at least those three subfolders:
											for subfolder in ["blobs", "refs", "snapshots"]:
																	self.assertTrue(os.path.isdir(os.path.join(_UpperCAmelCase     ,		_UpperCAmelCase					)					)					)
											with open(os.path.join(_UpperCAmelCase     ,		"""refs"""     ,		"""main"""					)					) as f:
																	__magic_name__:	Tuple							=       f.read()
											self.assertEqual(_UpperCAmelCase     ,		os.path.join(_UpperCAmelCase     ,		"""snapshots"""     ,		_UpperCAmelCase     ,		_UpperCAmelCase					)					)
											self.assertTrue(os.path.isfile(_UpperCAmelCase					)					)

											# File is cached at the same place the second time.
											__magic_name__:	Tuple							=       cached_file(_UpperCAmelCase     ,		_UpperCAmelCase					)
											self.assertEqual(_UpperCAmelCase     ,		_UpperCAmelCase					)

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

					def   lowerCamelCase__   (			self  :      List[Any]					)			->							Optional[int]:


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

											with self.assertRaisesRegex(_UpperCAmelCase     ,		"""is not a valid git identifier"""					):
																	__magic_name__:	Union[str, Any]							=       cached_file(_UpperCAmelCase     ,		_UpperCAmelCase     ,		revision="""aaaa"""					)

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

					def   lowerCamelCase__   (			self  :      List[Any]					)			->							Optional[Any]:


											with self.assertRaisesRegex(_UpperCAmelCase     ,		"""does not appear to have a file named"""					):
																	__magic_name__:	List[str]							=       cached_file(_UpperCAmelCase     ,		"""conf"""					)

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

											__magic_name__:	Union[str, Any]							=       cached_file(_UpperCAmelCase     ,		"""conf"""     ,		_raise_exceptions_for_missing_entries=_UpperCAmelCase					)
											self.assertIsNone(_UpperCAmelCase					)

											__magic_name__:	Union[str, Any]							=       cached_file(_UpperCAmelCase     ,		"""conf"""     ,		local_files_only=_UpperCAmelCase     ,		_raise_exceptions_for_missing_entries=_UpperCAmelCase					)
											self.assertIsNone(_UpperCAmelCase					)

											__magic_name__:	Dict							=       mock.Mock()
											__magic_name__:	Any							=       5_0_0
											__magic_name__:	Union[str, Any]							=       {}
											__magic_name__:	Any							=       HTTPError
											__magic_name__:	Any							=       {}

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

					def   lowerCamelCase__   (			self  :      str					)			->							Union[str, Any]:
											self.assertTrue(has_file("""hf-internal-testing/tiny-bert-pt-only"""     ,		_UpperCAmelCase					)					)
											self.assertFalse(has_file("""hf-internal-testing/tiny-bert-pt-only"""     ,		_UpperCAmelCase					)					)
											self.assertFalse(has_file("""hf-internal-testing/tiny-bert-pt-only"""     ,		_UpperCAmelCase					)					)

					def   lowerCamelCase__   (			self  :      int					)			->							int:
											self.assertIsNone(get_file_from_repo("""bert-base-cased"""     ,		"""ahah.txt"""					)					)

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

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

											__magic_name__:	List[Any]							=       get_file_from_repo("""bert-base-cased"""     ,		_UpperCAmelCase					)
											# The name is the cached name which is not very easy to test, so instead we load the content.
											__magic_name__:	List[str]							=       json.loads(open(_UpperCAmelCase     ,		"""r"""					).read()					)
											self.assertEqual(config["""hidden_size"""]     ,		7_6_8					)






					def   lowerCamelCase__   (			self  :      List[str]					)			->							Optional[int]:


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

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







import argparse

import torch
from torch import nn

from transformers import MBartConfig, MBartForConditionalGeneration






def 					UpperCamelCase   (      __magic_name__	:				Optional[Any]	)  ->    Tuple:
		"""simple docstring"""




		lowercase__	     =						[
		    """encoder.version""",
		    """decoder.version""",
		    """model.encoder.version""",
		    """model.decoder.version""",
		    """_float_tensor""",
		    """decoder.output_projection.weight""",
		]
		for k in ignore_keys:
				state_dict.pop(__magic_name__       ,       __magic_name__	)






def 					UpperCamelCase   (      __magic_name__	:				int	)  ->    Union[str, Any]:
		"""simple docstring"""




		lowercase__     ,      lowercase__	     =						emb.weight.shape
		lowercase__	     =						nn.Linear(__magic_name__       ,       __magic_name__       ,       bias=__magic_name__	)
		lowercase__	     =						emb.weight.data
		return lin_layer






def 					UpperCamelCase   (      __magic_name__	:				str       ,       __magic_name__	:				str="facebook/mbart-large-en-ro"       ,       __magic_name__	:				Any=False       ,       __magic_name__	:				int=False	)  ->    Optional[int]:
		"""simple docstring"""




		lowercase__	     =						torch.load(__magic_name__       ,       map_location="""cpu"""	)["""model"""]
		remove_ignore_keys_(__magic_name__	)
		lowercase__	     =						state_dict["""encoder.embed_tokens.weight"""].shape[0]

		lowercase__	     =						MBartConfig.from_pretrained(__magic_name__       ,       vocab_size=__magic_name__	)
		if mbart_aa and finetuned:
				lowercase__	     =						"""relu"""

		lowercase__	     =						state_dict["""decoder.embed_tokens.weight"""]
		lowercase__	     =						MBartForConditionalGeneration(__magic_name__	)
		model.model.load_state_dict(__magic_name__	)

		if finetuned:
				lowercase__	     =						make_linear_from_emb(model.model.shared	)

		return model


if __name__ == "__main__":
	A			:						Optional[Any]        =  argparse.ArgumentParser()
	# Required parameters
	parser.add_argument(
	    'fairseq_path', type=str, help='bart.large, bart.large.cnn or a path to a model.pt on local filesystem.'
	)
	parser.add_argument('pytorch_dump_folder_path', default=None, type=str, help='Path to the output PyTorch model.')
	parser.add_argument(
	    '--hf_config',
	    default='facebook/mbart-large-cc25',
	    type=str,
	    help='Which huggingface architecture to use: mbart-large',
	)
	parser.add_argument('--mbart_50', action='store_true', help='whether the model is mMART-50 checkpoint')
	parser.add_argument('--finetuned', action='store_true', help='whether the model is a fine-tuned checkpoint')
	A			:						Any        =  parser.parse_args()
	A			:						str        =  convert_fairseq_mbart_checkpoint_from_disk(
	    args.fairseq_path, hf_config_path=args.hf_config, finetuned=args.finetuned, mbart_aa=args.mbart_aa
	)
	model.save_pretrained(args.pytorch_dump_folder_path)

