
"""simple docstring"""







import argparse

import torch

from transformers import YosoConfig, YosoForMaskedLM
def    __lowerCAmelCase    (_UpperCamelCase		):
	if "model" in orig_key:
		__lowerCAmelCase      :						Optional[Any]						      =				orig_key.replace('model.'	,  ''		)
	if "norm1" in orig_key:
		__lowerCAmelCase      :						List[Any]						      =				orig_key.replace('norm1'	,  'attention.output.LayerNorm'		)
	if "norm2" in orig_key:
		__lowerCAmelCase      :						str						      =				orig_key.replace('norm2'	,  'output.LayerNorm'		)
	if "norm" in orig_key:
		__lowerCAmelCase      :						Tuple						      =				orig_key.replace('norm'	,  'LayerNorm'		)
	if "transformer" in orig_key:
		__lowerCAmelCase      :						Optional[int]						      =				orig_key.split('.'		)[0].split('_'		)[-1]
		__lowerCAmelCase      :						str						      =				orig_key.replace(F"transformer_{layer_num}"	,  F"encoder.layer.{layer_num}"		)
	if "mha.attn" in orig_key:
		__lowerCAmelCase      :						Union[str, Any]						      =				orig_key.replace('mha.attn'	,  'attention.self'		)
	if "mha" in orig_key:
		__lowerCAmelCase      :						str						      =				orig_key.replace('mha'	,  'attention'		)
	if "W_q" in orig_key:
		__lowerCAmelCase      :						Union[str, Any]						      =				orig_key.replace('W_q'	,  'self.query'		)
	if "W_k" in orig_key:
		__lowerCAmelCase      :						int						      =				orig_key.replace('W_k'	,  'self.key'		)
	if "W_v" in orig_key:
		__lowerCAmelCase      :						Any						      =				orig_key.replace('W_v'	,  'self.value'		)
	if "ff1" in orig_key:
		__lowerCAmelCase      :						Tuple						      =				orig_key.replace('ff1'	,  'intermediate.dense'		)
	if "ff2" in orig_key:
		__lowerCAmelCase      :						Any						      =				orig_key.replace('ff2'	,  'output.dense'		)
	if "ff" in orig_key:
		__lowerCAmelCase      :						List[Any]						      =				orig_key.replace('ff'	,  'output.dense'		)
	if "mlm_class" in orig_key:
		__lowerCAmelCase      :						Dict						      =				orig_key.replace('mlm.mlm_class'	,  'cls.predictions.decoder'		)
	if "mlm" in orig_key:
		__lowerCAmelCase      :						str						      =				orig_key.replace('mlm'	,  'cls.predictions.transform'		)
	if "cls" not in orig_key:
		__lowerCAmelCase      :						Optional[Any]						      =				'yoso.' + orig_key

	return orig_key
def    __lowerCAmelCase    (_UpperCamelCase	,  _UpperCamelCase		):
	for key in orig_state_dict.copy().keys():
		__lowerCAmelCase      :						str						      =				orig_state_dict.pop(_UpperCamelCase		)

		if ("pooler" in key) or ("sen_class" in key):
			continue
		else:
			__lowerCAmelCase      :						int						      =				val

	__lowerCAmelCase      :						Optional[int]						      =				orig_state_dict['cls.predictions.decoder.bias']
	__lowerCAmelCase      :						Optional[int]						      =				torch.arange(_UpperCamelCase		).expand((1, -1)		) + 2

	return orig_state_dict
def    __lowerCAmelCase    (_UpperCamelCase	,  _UpperCamelCase	,  _UpperCamelCase		):
	__lowerCAmelCase      :						str						      =				torch.load(_UpperCamelCase	,  map_location='cpu'		)['model_state_dict']
	__lowerCAmelCase      :						Union[str, Any]						      =				YosoConfig.from_json_file(_UpperCamelCase		)
	__lowerCAmelCase      :						Optional[Any]						      =				YosoForMaskedLM(_UpperCamelCase		)

	__lowerCAmelCase      :						List[Any]						      =				convert_checkpoint_helper(config.max_position_embeddings	,  _UpperCamelCase		)

	print(model.load_state_dict(_UpperCamelCase		)		)
	model.eval()
	model.save_pretrained(_UpperCamelCase		)

	print(F"Checkpoint successfuly converted. Model saved at {pytorch_dump_path}"		)


if __name__ == "__main__":
							lowerCamelCase__        =		argparse.ArgumentParser()
							# Required parameters
							parser.add_argument(
							    """--pytorch_model_path""", default=None, type=str, required=True, help="""Path to YOSO pytorch checkpoint."""
							)
							parser.add_argument(
							    """--config_file""",
							    default=None,
							    type=str,
							    required=True,
							    help="""The json file for YOSO model config.""",
							)
							parser.add_argument(
							    """--pytorch_dump_path""", default=None, type=str, required=True, help="""Path to the output PyTorch model."""
							)
							lowerCamelCase__        =		parser.parse_args()
							convert_yoso_checkpoint(args.pytorch_model_path, args.config_file, args.pytorch_dump_path)

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

			# File is cached at the same place the second time.
			__lowerCAmelCase      :						Union[str, Any]						      =				cached_file(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)
			self.assertEqual(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)

			# Using a specific revision to test the full commit hash.
			__lowerCAmelCase      :						Union[str, Any]						      =				cached_file(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		revision='9b8c223'			)
			self.assertEqual(_SCREAMING_SNAKE_CASE	,		os.path.join(_SCREAMING_SNAKE_CASE	,		'snapshots'	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)			)

		def 							__lowerCamelCase							(				self			):
			with self.assertRaisesRegex(_SCREAMING_SNAKE_CASE	,		'is not a valid model identifier'			):
				__lowerCAmelCase      :						Optional[Any]						      =				cached_file('tiny-random-bert'	,		_SCREAMING_SNAKE_CASE			)

			with self.assertRaisesRegex(_SCREAMING_SNAKE_CASE	,		'is not a valid git identifier'			):
				__lowerCAmelCase      :						str						      =				cached_file(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		revision='aaaa'			)

			with self.assertRaisesRegex(_SCREAMING_SNAKE_CASE	,		'does not appear to have a file named'			):
				__lowerCAmelCase      :						Optional[Any]						      =				cached_file(_SCREAMING_SNAKE_CASE	,		'conf'			)

		def 							__lowerCamelCase							(				self			):
			with self.assertRaisesRegex(_SCREAMING_SNAKE_CASE	,		'does not appear to have a file named'			):
				__lowerCAmelCase      :						Optional[int]						      =				cached_file(_SCREAMING_SNAKE_CASE	,		'conf'			)

			with open(os.path.join(_SCREAMING_SNAKE_CASE	,		'refs'	,		'main'			)			) as f:
				__lowerCAmelCase      :						Tuple						      =				f.read()
			self.assertTrue(os.path.isfile(os.path.join(_SCREAMING_SNAKE_CASE	,		'.no_exist'	,		_SCREAMING_SNAKE_CASE	,		'conf'			)			)			)

			__lowerCAmelCase      :						List[Any]						      =				cached_file(_SCREAMING_SNAKE_CASE	,		'conf'	,		_raise_exceptions_for_missing_entries=_SCREAMING_SNAKE_CASE			)
			self.assertIsNone(_SCREAMING_SNAKE_CASE			)

			__lowerCAmelCase      :						List[str]						      =				cached_file(_SCREAMING_SNAKE_CASE	,		'conf'	,		local_files_only=_SCREAMING_SNAKE_CASE	,		_raise_exceptions_for_missing_entries=_SCREAMING_SNAKE_CASE			)
			self.assertIsNone(_SCREAMING_SNAKE_CASE			)

			__lowerCAmelCase      :						List[Any]						      =				mock.Mock()
			__lowerCAmelCase      :						Tuple						      =				5_00
			__lowerCAmelCase      :						List[Any]						      =				{}
			__lowerCAmelCase      :						Dict						      =				HTTPError
			__lowerCAmelCase      :						str						      =				{}

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

		def 							__lowerCamelCase							(				self			):
			self.assertTrue(has_file('hf-internal-testing/tiny-bert-pt-only'	,		_SCREAMING_SNAKE_CASE			)			)
			self.assertFalse(has_file('hf-internal-testing/tiny-bert-pt-only'	,		_SCREAMING_SNAKE_CASE			)			)
			self.assertFalse(has_file('hf-internal-testing/tiny-bert-pt-only'	,		_SCREAMING_SNAKE_CASE			)			)

		def 							__lowerCamelCase							(				self			):
			# `get_file_from_repo` returns None if the file does not exist
			self.assertIsNone(get_file_from_repo('bert-base-cased'	,		'ahah.txt'			)			)

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

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

			__lowerCAmelCase      :						Union[str, Any]						      =				get_file_from_repo('bert-base-cased'	,		_SCREAMING_SNAKE_CASE			)
			# The name is the cached name which is not very easy to test, so instead we load the content.
			__lowerCAmelCase      :						List[Any]						      =				json.loads(open(_SCREAMING_SNAKE_CASE	,		'r'			).read()			)
			self.assertEqual(config['hidden_size']	,		7_68			)







		def 							__lowerCamelCase							(				self			):
			with tempfile.TemporaryDirectory() as tmp_dir:
				__lowerCAmelCase      :						str						      =				Path(_SCREAMING_SNAKE_CASE			) / 'a.txt'
				filename.touch()
				self.assertEqual(get_file_from_repo(_SCREAMING_SNAKE_CASE	,		'a.txt'			)	,		str(_SCREAMING_SNAKE_CASE			)			)

				self.assertIsNone(get_file_from_repo(_SCREAMING_SNAKE_CASE	,		'b.txt'			)			)