

import argparse
import os
import re


a		="""src/transformers"""

# Pattern that looks at the indentation in a line.
a		=re.compile(r"""^(\s*)\S""")
# Pattern that matches `"key":" and puts `key` in group 0.
a		=re.compile(r"""^\s*\"([^\"]+)\":""")
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
a		=re.compile(r"""^\s*_import_structure\[\"([^\"]+)\"\]""")
# Pattern that matches `"key",` and puts `key` in group 0.
a		=re.compile(r"""^\s*\"([^\"]+)\",\s*$""")
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
a		=re.compile(r"""\[([^\]]+)\]""")






def    SCREAMING_SNAKE_CASE__       (  lowerCamelCase__			)  ->     Union[str, Any]:
	__lowerCamelCase				:				List[str]					       = _re_indent.search(lowerCamelCase__			)
	return "" if search is None else search.groups()[0]






def    SCREAMING_SNAKE_CASE__       (  lowerCamelCase__	, lowerCamelCase__=""	, lowerCamelCase__=None	, lowerCamelCase__=None			)  ->     Any:
	__lowerCamelCase				:				int					       = 0
	__lowerCamelCase				:				int					       = code.split('\n'			)
	if start_prompt is not None:
		while not lines[index].startswith(lowerCamelCase__			):
			index += 1
		__lowerCamelCase				:				Dict					       = ['\n'.join(lines[:index]			)]
	else:
		__lowerCamelCase				:				int					       = []

	# We split into blocks until we get to the `end_prompt` (or the end of the block).
	__lowerCamelCase				:				str					       = [lines[index]]
	index += 1
	while index < len(lowerCamelCase__			) and (end_prompt is None or not lines[index].startswith(lowerCamelCase__			)):
		if len(lines[index]			) > 0 and get_indent(lines[index]			) == indent_level:
			if len(lowerCamelCase__			) > 0 and get_indent(current_block[-1]			).startswith(indent_level + ' '			):
				current_block.append(lines[index]			)
				blocks.append('\n'.join(lowerCamelCase__			)			)
				if index < len(lowerCamelCase__			) - 1:
					__lowerCamelCase				:				Dict					       = [lines[index + 1]]
					index += 1
				else:
					__lowerCamelCase				:				List[str]					       = []
			else:
				blocks.append('\n'.join(lowerCamelCase__			)			)
				__lowerCamelCase				:				Any					       = [lines[index]]
		else:
			current_block.append(lines[index]			)
		index += 1

	# Adds current block if it's nonempty.
	if len(lowerCamelCase__			) > 0:
		blocks.append('\n'.join(lowerCamelCase__			)			)

	# Add final block after end_prompt if provided.
	if end_prompt is not None and index < len(lowerCamelCase__			):
		blocks.append('\n'.join(lines[index:]			)			)

	return blocks






def    SCREAMING_SNAKE_CASE__       (  lowerCamelCase__			)  ->     Optional[int]:

	def _inner(lowerCamelCase__			):
		return key(lowerCamelCase__			).lower().replace('_'	, ''			)

	return _inner






def    SCREAMING_SNAKE_CASE__       (  lowerCamelCase__	, lowerCamelCase__=None			)  ->     Union[str, Any]:

	# If no key is provided, we use a noop.
	def noop(lowerCamelCase__			):
		return x

	if key is None:
		__lowerCamelCase				:				Dict					       = noop
	# Constants are all uppercase, they go first.
	__lowerCamelCase				:				List[Any]					       = [obj for obj in objects if key(lowerCamelCase__			).isupper()]
	# Classes are not all uppercase but start with a capital, they go second.
	__lowerCamelCase				:				Union[str, Any]					       = [obj for obj in objects if key(lowerCamelCase__			)[0].isupper() and not key(lowerCamelCase__			).isupper()]
	# Functions begin with a lowercase, they go last.
	__lowerCamelCase				:				Union[str, Any]					       = [obj for obj in objects if not key(lowerCamelCase__			)[0].isupper()]

	__lowerCamelCase				:				List[Any]					       = ignore_underscore(lowerCamelCase__			)
	return sorted(lowerCamelCase__	, key=lowerCamelCase__			) + sorted(lowerCamelCase__	, key=lowerCamelCase__			) + sorted(lowerCamelCase__	, key=lowerCamelCase__			)






def    SCREAMING_SNAKE_CASE__       (  lowerCamelCase__			)  ->     str:

	# This inner function sort imports between [ ].
	def _replace(lowerCamelCase__			):
		__lowerCamelCase				:				Dict					       = match.groups()[0]
		if "," not in imports:
			return F"[{imports}]"
		__lowerCamelCase				:				Any					       = [part.strip().replace('"'	, ''			) for part in imports.split(','			)]
		# We will have a final empty element if the line finished with a comma.
		if len(keys[-1]			) == 0:
			__lowerCamelCase				:				List[Any]					       = keys[:-1]
		return "[" + ", ".join([F"\"{k}\"" for k in sort_objects(lowerCamelCase__			)]			) + "]"

	__lowerCamelCase				:				int					       = import_statement.split('\n'			)
	if len(lowerCamelCase__			) > 3:
		# Here we have to sort internal imports that are on several lines (one per name):
		# key: [
		#     "object1",
		#     "object2",
		#     ...
		# ]

		# We may have to ignore one or two lines on each side.
		__lowerCamelCase				:				Any					       = 2 if lines[1].strip() == '[' else 1
		__lowerCamelCase				:				Optional[Any]					       = [(i, _re_strip_line.search(lowerCamelCase__			).groups()[0]) for i, line in enumerate(lines[idx:-idx]			)]
		__lowerCamelCase				:				Tuple					       = sort_objects(lowerCamelCase__	, key=lambda lowerCamelCase__			: x[1]			)
		__lowerCamelCase				:				Optional[int]					       = [lines[x[0] + idx] for x in sorted_indices]
		return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]			)
	elif len(lowerCamelCase__			) == 3:
		# Here we have to sort internal imports that are on one separate line:
		# key: [
		#     "object1", "object2", ...
		# ]
		if _re_bracket_content.search(lines[1]			) is not None:
			__lowerCamelCase				:				Optional[int]					       = _re_bracket_content.sub(_replace	, lines[1]			)
		else:
			__lowerCamelCase				:				int					       = [part.strip().replace('"'	, ''			) for part in lines[1].split(','			)]
			# We will have a final empty element if the line finished with a comma.
			if len(keys[-1]			) == 0:
				__lowerCamelCase				:				Optional[int]					       = keys[:-1]
			__lowerCamelCase				:				List[str]					       = get_indent(lines[1]			) + ', '.join([F"\"{k}\"" for k in sort_objects(lowerCamelCase__			)]			)
		return "\n".join(lowerCamelCase__			)
	else:
		# Finally we have to deal with imports fitting on one line
		__lowerCamelCase				:				Any					       = _re_bracket_content.sub(_replace	, lowerCamelCase__			)
		return import_statement






def    SCREAMING_SNAKE_CASE__       (  lowerCamelCase__	, lowerCamelCase__=True			)  ->     Dict:
	with open(lowerCamelCase__	, encoding='utf-8'			) as f:
		__lowerCamelCase				:				int					       = f.read()

	if "_import_structure" not in code:
		return

	# Blocks of indent level 0
	__lowerCamelCase				:				str					       = split_code_in_indented_blocks(
	    lowerCamelCase__	, start_prompt='_import_structure = {'	, end_prompt='if TYPE_CHECKING:'			)

	# We ignore block 0 (everything untils start_prompt) and the last block (everything after end_prompt).
	for block_idx in range(1	, len(lowerCamelCase__			) - 1			):
		# Check if the block contains some `_import_structure`s thingy to sort.
		__lowerCamelCase				:				Optional[int]					       = main_blocks[block_idx]
		__lowerCamelCase				:				str					       = block.split('\n'			)

		# Get to the start of the imports.
		__lowerCamelCase				:				Union[str, Any]					       = 0
		while line_idx < len(lowerCamelCase__			) and "_import_structure" not in block_lines[line_idx]:
			# Skip dummy import blocks
			if "import dummy" in block_lines[line_idx]:
				__lowerCamelCase				:				List[Any]					       = len(lowerCamelCase__			)
			else:
				line_idx += 1
		if line_idx >= len(lowerCamelCase__			):
			continue

		# Ignore beginning and last line: they don't contain anything.
		__lowerCamelCase				:				Dict					       = '\n'.join(block_lines[line_idx:-1]			)
		__lowerCamelCase				:				Any					       = get_indent(block_lines[1]			)
		# Slit the internal block into blocks of indent level 1.
		__lowerCamelCase				:				Any					       = split_code_in_indented_blocks(lowerCamelCase__	, indent_level=lowerCamelCase__			)
		# We have two categories of import key: list or _import_structure[key].append/extend
		__lowerCamelCase				:				Optional[Any]					       = _re_direct_key if '_import_structure = {' in block_lines[0] else _re_indirect_key
		# Grab the keys, but there is a trap: some lines are empty or just comments.
		__lowerCamelCase				:				Optional[Any]					       = [(pattern.search(lowerCamelCase__			).groups()[0] if pattern.search(lowerCamelCase__			) is not None else None) for b in internal_blocks]
		# We only sort the lines with a key.
		__lowerCamelCase				:				Optional[Any]					       = [(i, key) for i, key in enumerate(lowerCamelCase__			) if key is not None]
		__lowerCamelCase				:				str					       = [x[0] for x in sorted(lowerCamelCase__	, key=lambda lowerCamelCase__			: x[1]			)]

		# We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
		__lowerCamelCase				:				int					       = 0
		__lowerCamelCase				:				Union[str, Any]					       = []
		for i in range(len(lowerCamelCase__			)			):
			if keys[i] is None:
				reorderded_blocks.append(internal_blocks[i]			)
			else:
				__lowerCamelCase				:				Optional[int]					       = sort_objects_in_import(internal_blocks[sorted_indices[count]]			)
				reorderded_blocks.append(lowerCamelCase__			)
				count += 1

        # And we put our main block back together with its first and last line.
		__lowerCamelCase				:				Tuple					       = '\n'.join(block_lines[:line_idx] + reorderded_blocks + [block_lines[-1]]			)

	if code != "\n".join(lowerCamelCase__			):
		if check_only:
			return True
		else:
			print(F"Overwriting {file}."			)
			with open(lowerCamelCase__	, 'w'	, encoding='utf-8'			) as f:
				f.write('\n'.join(lowerCamelCase__			)			)






def    SCREAMING_SNAKE_CASE__       (  lowerCamelCase__=True			)  ->     Optional[Any]:
	__lowerCamelCase				:				Optional[int]					       = []
	for root, _, files in os.walk(lowerCamelCase__			):
		if "__init__.py" in files:
			__lowerCamelCase				:				Optional[Any]					       = sort_imports(os.path.join(lowerCamelCase__	, '__init__.py'			)	, check_only=lowerCamelCase__			)
			if result:
				__lowerCamelCase				:				Tuple					       = [os.path.join(lowerCamelCase__	, '__init__.py'			)]
	if len(lowerCamelCase__			) > 0:
		raise ValueError(F"Would overwrite {len(lowerCamelCase__			)} files, run `make style`."			)


if __name__ == "__main__":
					a		=argparse.ArgumentParser()
					parser.add_argument("""--check_only""", action="""store_true""", help="""Whether to only check or fix style.""")
					a		=parser.parse_args()

					sort_imports_in_all_inits(check_only=args.check_only)







"""simple docstring"""





import inspect
import unittest

import numpy as np

from transformers import BeitConfig
from transformers.testing_utils import require_flax, require_vision, slow
from transformers.utils import cached_property, is_flax_available, is_vision_available

from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor


if is_flax_available():
   import jax

   from transformers import FlaxBeitForImageClassification, FlaxBeitForMaskedImageModeling, FlaxBeitModel

if is_vision_available():
   from PIL import Image

   from transformers import BeitImageProcessor




class 					_lowerCAmelCase  (	unittest.TestCase   ):







 """simple docstring"""







 def __init__(			self							:			str,					UpperCAmelCase__							:			List[Any],					UpperCAmelCase__							:			int=1_0_0,					UpperCAmelCase__							:			Any=1_3,					UpperCAmelCase__							:			List[Any]=3_0,					UpperCAmelCase__							:			Dict=2,					UpperCAmelCase__							:			Any=3,					UpperCAmelCase__							:			Optional[Any]=True,					UpperCAmelCase__							:			List[str]=True,					UpperCAmelCase__							:			Optional[Any]=3_2,					UpperCAmelCase__							:			Any=5,					UpperCAmelCase__							:			Any=4,					UpperCAmelCase__							:			Any=3_7,					UpperCAmelCase__							:			Optional[int]="gelu",					UpperCAmelCase__							:			Dict=0.1,					UpperCAmelCase__							:			Optional[int]=0.1,					UpperCAmelCase__							:			Dict=1_0,					UpperCAmelCase__							:			Tuple=0.02,					UpperCAmelCase__							:			List[Any]=3,					):
    __lowercase								=						parent
    __lowercase								=						vocab_size
    __lowercase								=						batch_size
    __lowercase								=						image_size
    __lowercase								=						patch_size
    __lowercase								=						num_channels
    __lowercase								=						is_training
    __lowercase								=						use_labels
    __lowercase								=						hidden_size
    __lowercase								=						num_hidden_layers
    __lowercase								=						num_attention_heads
    __lowercase								=						intermediate_size
    __lowercase								=						hidden_act
    __lowercase								=						hidden_dropout_prob
    __lowercase								=						attention_probs_dropout_prob
    __lowercase								=						type_sequence_label_size
    __lowercase								=						initializer_range

    # in BeiT, the seq length equals the number of patches + 1 (we add 1 for the [CLS] token)
    __lowercase								=						(image_size // patch_size) ** 2
    __lowercase								=						num_patches + 1


 def 					_lowercase (			self							:			int	):
    __lowercase								=						floats_tensor([self.batch_size, self.num_channels, self.image_size, self.image_size]	)

    __lowercase								=						None
    if self.use_labels:
       __lowercase								=						ids_tensor([self.batch_size],					self.type_sequence_label_size	)

    __lowercase								=						BeitConfig(
        vocab_size=self.vocab_size,					image_size=self.image_size,					patch_size=self.patch_size,					num_channels=self.num_channels,					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,					is_decoder=UpperCAmelCase__,					initializer_range=self.initializer_range,					)

    return config, pixel_values, labels


 def 					_lowercase (			self							:			Any,					UpperCAmelCase__							:			List[Any],					UpperCAmelCase__							:			List[str],					UpperCAmelCase__							:			List[str]	):
    __lowercase								=						FlaxBeitModel(config=UpperCAmelCase__	)
    __lowercase								=						model(UpperCAmelCase__	)
    self.parent.assertEqual(result.last_hidden_state.shape,					(self.batch_size, self.seq_length, self.hidden_size)	)


 def 					_lowercase (			self							:			Optional[Any],					UpperCAmelCase__							:			Optional[Any],					UpperCAmelCase__							:			int,					UpperCAmelCase__							:			List[Any]	):
    __lowercase								=						FlaxBeitForMaskedImageModeling(config=UpperCAmelCase__	)
    __lowercase								=						model(UpperCAmelCase__	)
    self.parent.assertEqual(result.logits.shape,					(self.batch_size, self.seq_length - 1, self.vocab_size)	)


 def 					_lowercase (			self							:			Dict,					UpperCAmelCase__							:			List[Any],					UpperCAmelCase__							:			Any,					UpperCAmelCase__							:			Union[str, Any]	):
    __lowercase								=						self.type_sequence_label_size
    __lowercase								=						FlaxBeitForImageClassification(config=UpperCAmelCase__	)
    __lowercase								=						model(UpperCAmelCase__	)
    self.parent.assertEqual(result.logits.shape,					(self.batch_size, self.type_sequence_label_size)	)

    # test greyscale images
    __lowercase								=						1
    __lowercase								=						FlaxBeitForImageClassification(UpperCAmelCase__	)

    __lowercase								=						floats_tensor([self.batch_size, 1, self.image_size, self.image_size]	)
    __lowercase								=						model(UpperCAmelCase__	)



 def 					_lowercase (			self							:			List[str]	):
    __lowercase								=						self.prepare_config_and_inputs()
    (
        (
        __lowercase
    )		,(
        __lowercase
    )		,(
        __lowercase
    )		,
    )								=						config_and_inputs
    __lowercase								=						{"pixel_values": pixel_values}
    return config, inputs_dict







@require_flax
class 					_lowerCAmelCase  (	lowercase     ,unittest.TestCase   ):







 """simple docstring"""







 __UpperCAmelCase	:					str   		=	(
     (FlaxBeitModel, FlaxBeitForImageClassification, FlaxBeitForMaskedImageModeling) if is_flax_available() else ()
 )


 def 					_lowercase (			self							:			List[Any]	):
    __lowercase								=						FlaxBeitModelTester(self	)
    __lowercase								=						ConfigTester(self,					config_class=UpperCAmelCase__,					has_text_modality=UpperCAmelCase__,					hidden_size=3_7	)


 def 					_lowercase (			self							:			Union[str, Any]	):
    self.config_tester.run_common_tests()


 def 					_lowercase (			self							:			Optional[int]	):
    __lowercase		,__lowercase								=						self.model_tester.prepare_config_and_inputs_for_common()

    for model_class in self.all_model_classes:
       __lowercase								=						model_class(UpperCAmelCase__	)
       __lowercase								=						inspect.signature(model.__call__	)
       # signature.parameters is an OrderedDict => so arg_names order is deterministic
       __lowercase								=						[*signature.parameters.keys()]

       __lowercase								=						["pixel_values"]
       self.assertListEqual(arg_names[:1],					UpperCAmelCase__	)


 def 					_lowercase (			self							:			Tuple	):
    __lowercase		,__lowercase								=						self.model_tester.prepare_config_and_inputs_for_common()

    for model_class in self.all_model_classes:
       with self.subTest(model_class.__name__	):
          __lowercase								=						self._prepare_for_class(UpperCAmelCase__,					UpperCAmelCase__	)
          __lowercase								=						model_class(UpperCAmelCase__	)

          @jax.jit
          def model_jitted(UpperCAmelCase__							:			str,					**UpperCAmelCase__							:			Dict	):
             return model(pixel_values=UpperCAmelCase__,					**UpperCAmelCase__	)

          with self.subTest("JIT Enabled"	):
             __lowercase								=						model_jitted(**UpperCAmelCase__	).to_tuple()

          with self.subTest("JIT Disabled"	):
             with jax.disable_jit():
                __lowercase								=						model_jitted(**UpperCAmelCase__	).to_tuple()

          self.assertEqual(len(UpperCAmelCase__	),					len(UpperCAmelCase__	)	)
          for jitted_output, output in zip(UpperCAmelCase__,					UpperCAmelCase__	):
             self.assertEqual(jitted_output.shape,					output.shape	)


 def 					_lowercase (			self							:			List[str]	):
    __lowercase								=						self.model_tester.prepare_config_and_inputs()
    self.model_tester.create_and_check_model(*UpperCAmelCase__	)


 def 					_lowercase (			self							:			int	):
    __lowercase								=						self.model_tester.prepare_config_and_inputs()
    self.model_tester.create_and_check_for_masked_lm(*UpperCAmelCase__	)


 def 					_lowercase (			self							:			Tuple	):
    __lowercase								=						self.model_tester.prepare_config_and_inputs()
    self.model_tester.create_and_check_for_image_classification(*UpperCAmelCase__	)



 @slow
 def 					_lowercase (			self							:			Union[str, Any]	):
    for model_class_name in self.all_model_classes:
       __lowercase								=						model_class_name.from_pretrained("microsoft/beit-base-patch16-224"	)
       __lowercase								=						model(np.ones((1, 3, 2_2_4, 2_2_4)	)	)
       self.assertIsNotNone(UpperCAmelCase__	)







def   _A  (  )	->						str:
   '''simple docstring'''


   __lowercase								=						Image.open("./tests/fixtures/tests_samples/COCO/000000039769.png")
   return image




@require_vision
@require_flax
class 					_lowerCAmelCase  (	unittest.TestCase   ):







 """simple docstring"""







 @cached_property
 def 					_lowercase (			self							:			Optional[int]	):
    return BeitImageProcessor.from_pretrained("microsoft/beit-base-patch16-224"	) if is_vision_available() else None


 @slow
 def 					_lowercase (			self							:			Any	):
    __lowercase								=						FlaxBeitForMaskedImageModeling.from_pretrained("microsoft/beit-base-patch16-224-pt22k"	)

    __lowercase								=						self.default_image_processor
    __lowercase								=						prepare_img()
    __lowercase								=						image_processor(images=UpperCAmelCase__,					return_tensors="np"	).pixel_values

    # prepare bool_masked_pos
    __lowercase								=						np.ones((1, 1_9_6),					dtype=UpperCAmelCase__	)

    # forward pass
    __lowercase								=						model(pixel_values=UpperCAmelCase__,					bool_masked_pos=UpperCAmelCase__	)
    __lowercase								=						outputs.logits

    # verify the logits
    __lowercase								=						(1, 1_9_6, 8_1_9_2)
    self.assertEqual(logits.shape,					UpperCAmelCase__	)

    __lowercase								=						np.array(
        [[-3.2_437, 0.5_072, -13.9_174], [-3.2_456, 0.4_948, -13.9_401], [-3.2_033, 0.5_121, -13.8_550]]	)

    self.assertTrue(np.allclose(logits[bool_masked_pos][:3, :3],					UpperCAmelCase__,					atol=1E-2	)	)


 @slow
 def 					_lowercase (			self							:			Any	):
    __lowercase								=						FlaxBeitForImageClassification.from_pretrained("microsoft/beit-base-patch16-224"	)

    __lowercase								=						self.default_image_processor
    __lowercase								=						prepare_img()
    __lowercase								=						image_processor(images=UpperCAmelCase__,					return_tensors="np"	)

    # forward pass
    __lowercase								=						model(**UpperCAmelCase__	)
    __lowercase								=						outputs.logits

    # verify the logits
    __lowercase								=						(1, 1_0_0_0)
    self.assertEqual(logits.shape,					UpperCAmelCase__	)

    __lowercase								=						np.array([-1.2_385, -1.0_987, -1.0_108]	)

    self.assertTrue(np.allclose(logits[0, :3],					UpperCAmelCase__,					atol=1E-4	)	)

    __lowercase								=						2_8_1
    self.assertEqual(logits.argmax(-1	).item(),					UpperCAmelCase__	)



 @slow
 def 					_lowercase (			self							:			List[str]	):
    __lowercase								=						FlaxBeitForImageClassification.from_pretrained("microsoft/beit-large-patch16-224-pt22k-ft22k"	)

    __lowercase								=						self.default_image_processor
    __lowercase								=						prepare_img()
    __lowercase								=						image_processor(images=UpperCAmelCase__,					return_tensors="np"	)

    # forward pass
    __lowercase								=						model(**UpperCAmelCase__	)
    __lowercase								=						outputs.logits

    # verify the logits
    __lowercase								=						(1, 2_1_8_4_1)
    self.assertEqual(logits.shape,					UpperCAmelCase__	)

    __lowercase								=						np.array([1.6_881, -0.2_787, 0.5_901]	)

    self.assertTrue(np.allclose(logits[0, :3],					UpperCAmelCase__,					atol=1E-4	)	)

    __lowercase								=						2_3_9_6
    self.assertEqual(logits.argmax(-1	).item(),					UpperCAmelCase__	)




