






"""simple docstring"""
import argparse
import os
import re

import packaging.version


lowerCamelCase_       			=   '''examples/'''
lowerCamelCase_       			=   {
    '''examples''': (re.compile(r'''^check_min_version\("[^"]+"\)\s*$''', re.MULTILINE), '''check_min_version("VERSION")\n'''),
    '''init''': (re.compile(r'''^__version__\s+=\s+"([^"]+)"\s*$''', re.MULTILINE), '''__version__ = "VERSION"\n'''),
    '''setup''': (re.compile(r'''^(\s*)version\s*=\s*"[^"]+",''', re.MULTILINE), r'''\1version="VERSION",'''),
    '''doc''': (re.compile(r'''^(\s*)release\s*=\s*"[^"]+"$''', re.MULTILINE), '''release = "VERSION"\n'''),
}
lowerCamelCase_       			=   {
    '''init''': '''src/diffusers/__init__.py''',
    '''setup''': '''setup.py''',
}
lowerCamelCase_       			=   '''README.md'''

def        snake_case   (     A__			,A__			,A__		):
			with open(A__			,"r"			,encoding="utf-8"			,newline="\n"		) as f:
						UpperCAmelCase_  :				int      =      f.read()
			UpperCAmelCase_  :				Union[str, Any]      =      REPLACE_PATTERNS[pattern]
			UpperCAmelCase_  :				Union[str, Any]      =      replace.replace("VERSION"			,A__		)
			UpperCAmelCase_  :				List[Any]      =      re_pattern.sub(A__			,A__		)
			with open(A__			,"w"			,encoding="utf-8"			,newline="\n"		) as f:
						f.write(A__		)

def        snake_case   (     A__		):
			for folder, directories, fnames in os.walk(A__		):
						# Removing some of the folders with non-actively maintained examples from the walk
						if "research_projects" in directories:
									directories.remove("research_projects"		)
						if "legacy" in directories:
									directories.remove("legacy"		)
						for fname in fnames:
									if fname.endswith(".py"		):
												update_version_in_file(os.path.join(A__			,A__		)			,A__			,pattern="examples"		)

def        snake_case   (     A__			,A__=False		):
			for pattern, fname in REPLACE_FILES.items():
						update_version_in_file(A__			,A__			,A__		)
			if not patch:
						update_version_in_examples(A__		)

def        snake_case   (     ):
			UpperCAmelCase_  :				Optional[Any]      =      """🤗 Transformers currently provides the following architectures"""
			UpperCAmelCase_  :				Optional[int]      =      """1. Want to contribute a new model?"""
			with open(A__			,"r"			,encoding="utf-8"			,newline="\n"		) as f:
						UpperCAmelCase_  :				List[Any]      =      f.readlines()

			# Find the start of the list.
			UpperCAmelCase_  :				Optional[int]      =      0
			while not lines[start_index].startswith(_start_prompt		):
						start_index += 1
			start_index += 1

			UpperCAmelCase_  :				List[str]      =      start_index
			# Update the lines in the model list.
			while not lines[index].startswith(_end_prompt		):
						if lines[index].startswith("1."		):
									UpperCAmelCase_  :				Optional[int]      =      lines[index].replace(
									    "https://huggingface.co/docs/diffusers/main/model_doc"			,"https://huggingface.co/docs/diffusers/model_doc"			,)
						index += 1

			with open(A__			,"w"			,encoding="utf-8"			,newline="\n"		) as f:
						f.writelines(A__		)

def        snake_case   (     ):
			with open(REPLACE_FILES["init"]			,"r"		) as f:
						UpperCAmelCase_  :				Optional[Any]      =      f.read()
			UpperCAmelCase_  :				int      =      REPLACE_PATTERNS["""init"""][0].search(A__		).groups()[0]
			return packaging.version.parse(A__		)

def        snake_case   (     A__=False		):
			UpperCAmelCase_  :				Dict      =      get_version()
			if patch and default_version.is_devrelease:
						raise ValueError("Can't create a patch version from the dev branch, checkout a released version!"		)
			if default_version.is_devrelease:
						UpperCAmelCase_  :				Optional[int]      =      default_version.base_version
			elif patch:
						UpperCAmelCase_  :				int      =      F"""{default_version.major}.{default_version.minor}.{default_version.micro + 1}"""
			else:
						UpperCAmelCase_  :				Union[str, Any]      =      F"""{default_version.major}.{default_version.minor + 1}.0"""

			# Now let's ask nicely if that's the right one.
			UpperCAmelCase_  :				Tuple      =      input(F"""Which version are you releasing? [{default_version}]"""		)
			if len(A__		) == 0:
						UpperCAmelCase_  :				List[str]      =      default_version

			print(F"""Updating version to {version}."""		)
			global_version_update(A__			,patch=A__		)

def        snake_case   (     ):
			UpperCAmelCase_  :				Optional[Any]      =      get_version()
			UpperCAmelCase_  :				Tuple      =      F"""{current_version.major}.{current_version.minor + 1}.0.dev0"""
			UpperCAmelCase_  :				List[str]      =      current_version.base_version

			# Check with the user we got that right.
			UpperCAmelCase_  :				List[Any]      =      input(F"""Which version are we developing now? [{dev_version}]"""		)
			if len(A__		) == 0:
						UpperCAmelCase_  :				Tuple      =      dev_version

			print(F"""Updating version to {version}."""		)
			global_version_update(A__		)


#    print("Cleaning main README, don't forget to run `make fix-copies`.")
#    clean_main_ref_in_model_list()


if __name__ == "__main__":
			lowerCamelCase_       			=   argparse.ArgumentParser()
			parser.add_argument('''--post_release''', action='''store_true''', help='''Whether this is pre or post release.''')
			parser.add_argument('''--patch''', action='''store_true''', help='''Whether or not this is a patch release.''')
			lowerCamelCase_       			=   parser.parse_args()
			if not args.post_release:
						pre_release_work(patch=args.patch)
			elif args.patch:
						print('''Nothing to do after a patch :-)''')
			else:
						post_release_work()












"""simple docstring"""
from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
			import numpy as np
			import tensorflow as tf

			from transformers import TFCamembertModel







@require_tf
@require_sentencepiece
@require_tokenizers
class     UpperCamelCase_ (unittest.TestCase  ):





	@slow
	def   _SCREAMING_SNAKE_CASE   (   self      :				Optional[Any]		)		->    Optional[Any]:
				UpperCAmelCase_  :				List[Any]      =      TFCamembertModel.from_pretrained("jplu/tf-camembert-base"		)

				UpperCAmelCase_  :				Tuple      =      tf.convert_to_tensor(
				    [[5, 121, 11, 660, 16, 730, 25_543, 110, 83, 6]]			,			dtype=tf.intaa			,			)  # J'aime le camembert !"

				UpperCAmelCase_  :				Any      =      model(lowerCAmelCase_		)["last_hidden_state"]
				UpperCAmelCase_  :				str      =      tf.TensorShape((1, 10, 768)		)
				self.assertEqual(output.shape			,			lowerCAmelCase_		)
				# compare the actual values for a slice.
				UpperCAmelCase_  :				Tuple      =      tf.convert_to_tensor(
				    [[[-0.0_2_5_4, 0.0_2_3_5, 0.1_0_2_7], [0.0_6_0_6, -0.1_8_1_1, -0.0_4_1_8], [-0.1_5_6_1, -0.1_1_2_7, 0.2_6_8_7]]]			,			dtype=tf.floataa			,			)
				# camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
				# camembert.eval()
				# expected_slice = roberta.model.forward(input_ids)[0][:, :3, :3].detach()

				self.assertTrue(np.allclose(output[:, :3, :3].numpy()			,			expected_slice.numpy()			,			atol=1e-4		)		)



