



import unittest

from transformers import BigBirdConfig, 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

	from transformers.models.big_bird.modeling_flax_big_bird import (
	    FlaxBigBirdForCausalLM,
	    FlaxBigBirdForMaskedLM,
	    FlaxBigBirdForMultipleChoice,
	    FlaxBigBirdForPreTraining,
	    FlaxBigBirdForQuestionAnswering,
	    FlaxBigBirdForSequenceClassification,
	    FlaxBigBirdForTokenClassification,
	    FlaxBigBirdModel,
	)


class       _lowercase   (unittest.TestCase      ):
				'''simple docstring'''







				def __init__( self     , snake_case__     , snake_case__=2     , snake_case__=56     , snake_case__=True     , snake_case__=True     , snake_case__=True     , snake_case__=True     , snake_case__=99     , snake_case__=32     , snake_case__=2     , snake_case__=2     , snake_case__=7     , snake_case__="gelu_new"     , snake_case__=0.1     , snake_case__=0.1     , snake_case__=512     , snake_case__=16     , snake_case__=2     , snake_case__=0.02     , snake_case__=4     , snake_case__="block_sparse"     , snake_case__=True     , snake_case__=False     , snake_case__=2     , snake_case__=3     , ):

									'''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

									UpperCamelCase_		  =   rescale_embeddings
									UpperCamelCase_		  =   attention_type
									UpperCamelCase_		  =   use_bias
									UpperCamelCase_		  =   block_size
									UpperCamelCase_		  =   num_random_blocks

				def       _lowerCamelCase					( self    ):

									'''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_		  =   BigBirdConfig(
									    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=snake_case__     , initializer_range=self.initializer_range     , attention_type=self.attention_type     , block_size=self.block_size     , num_random_blocks=self.num_random_blocks     , use_bias=self.use_bias     , rescale_embeddings=self.rescale_embeddings     , )

									return config, input_ids, token_type_ids, attention_mask

				def       _lowerCamelCase					( self    ):

									'''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       _lowercase   (a_      ,   unittest.TestCase      ):
				'''simple docstring'''







				lowercase__   						=						(
				    (
				        FlaxBigBirdForCausalLM,
				        FlaxBigBirdModel,
				        FlaxBigBirdForPreTraining,
				        FlaxBigBirdForMaskedLM,
				        FlaxBigBirdForMultipleChoice,
				        FlaxBigBirdForQuestionAnswering,
				        FlaxBigBirdForSequenceClassification,
				        FlaxBigBirdForTokenClassification,
				    )
				    if is_flax_available()
				    else ()
				)

				lowercase__   						=						False
				lowercase__   						=						False

				def       _lowerCamelCase					( self    ):

									'''simple docstring'''


									UpperCamelCase_		  =   FlaxBigBirdModelTester(self    )

				@slow
				# copied from `test_modeling_flax_common` because it takes much longer than other models
				def       _lowerCamelCase					( self    ):

									'''simple docstring'''


									super().test_from_pretrained_save_pretrained()

				@slow
				# copied from `test_modeling_flax_common` because it takes much longer than other models
				def       _lowerCamelCase					( self    ):

									'''simple docstring'''


									super().test_from_pretrained_with_no_automatic_init()

				@slow
				# copied from `test_modeling_flax_common` because it takes much longer than other models
				def       _lowerCamelCase					( self    ):

									'''simple docstring'''


									super().test_no_automatic_init()

				@slow
				# copied from `test_modeling_flax_common` because it takes much longer than other models
				def       _lowerCamelCase					( self    ):

									'''simple docstring'''


									super().test_hidden_states_output()

				@slow
				def       _lowerCamelCase					( self    ):

									'''simple docstring'''


									for model_class_name in self.all_model_classes:
														UpperCamelCase_		  =   model_class_name.from_pretrained("google/bigbird-roberta-base"    )
														self.assertIsNotNone(snake_case__    )

				def       _lowerCamelCase					( self    ):

									'''simple docstring'''


									if self.test_attn_probs:
														super().test_attention_outputs()

				@slow
				# copied from `test_modeling_flax_common` because it takes much longer than other models
				def       _lowerCamelCase					( self    ):

									'''simple docstring'''


									UpperCamelCase_  ,    UpperCamelCase_		  =   self.model_tester.prepare_config_and_inputs_for_common()

									for model_class in self.all_model_classes:
														with self.subTest(model_class.__name__    ):
																			UpperCamelCase_		  =   self._prepare_for_class(snake_case__     , snake_case__    )
																			UpperCamelCase_		  =   model_class(snake_case__    )

																			@jax.jit
																			def model_jitted(snake_case__     , snake_case__=None     , **snake_case__    ):
																								return model(input_ids=snake_case__     , attention_mask=snake_case__     , **snake_case__    )

																			with self.subTest("JIT Enabled"    ):
																								UpperCamelCase_		  =   model_jitted(**snake_case__    ).to_tuple()

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

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

				def       _lowerCamelCase					( self     , snake_case__     , snake_case__     , snake_case__     , snake_case__=1e-5     , snake_case__="outputs"     , snake_case__=None    ):

									'''simple docstring'''


									if name.startswith("outputs.attentions"    ):
														return
									else:
														super().check_pt_flax_outputs(snake_case__     , snake_case__     , snake_case__     , snake_case__     , snake_case__     , snake_case__    )





import argparse
import glob
import importlib.util
import os
import re

import black
from doc_builder.style_doc import style_docstrings_in_code


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
UpperCAmelCase   :							Any							 ="""src/diffusers"""
UpperCAmelCase   :							Union[str, Any]							 ="""."""


# This is to make sure the diffusers module imported is the one in the repo.
UpperCAmelCase   :							int							 =importlib.util.spec_from_file_location(
    """diffusers""",
    os.path.join(DIFFUSERS_PATH, """__init__.py"""),
    submodule_search_locations=[DIFFUSERS_PATH],
)
UpperCAmelCase   :							Optional[Any]							 =spec.loader.load_module()



def    _lowerCAmelCase    (_lowerCAmelCase   ,	_lowerCAmelCase):
					return line.startswith(_lowerCAmelCase) or len(_lowerCAmelCase) <= 1 or re.search(r"^\s*\)(\s*->.*:|:)\s*$"   ,	_lowerCAmelCase) is not None



def    _lowerCAmelCase    (_lowerCAmelCase):
					UpperCamelCase_		  =   object_name.split(".")
					UpperCamelCase_		  =   0

					# First let's find the module where our object lives.
					UpperCamelCase_		  =   parts[i]
					while i < len(_lowerCAmelCase) and not os.path.isfile(os.path.join(_lowerCAmelCase   ,	f"""{module}.py""")):
										i += 1
										if i < len(_lowerCAmelCase):
															UpperCamelCase_		  =   os.path.join(_lowerCAmelCase   ,	parts[i])
					if i >= len(_lowerCAmelCase):
										raise ValueError(f"""`object_name` should begin with the name of a module of diffusers but got {object_name}.""")

					with open(os.path.join(_lowerCAmelCase   ,	f"""{module}.py""")   ,	"r"   ,	encoding="utf-8"   ,	newline="\n") as f:
										UpperCamelCase_		  =   f.readlines()

					# Now let's find the class / func in the code!
					UpperCamelCase_		  =   ""
					UpperCamelCase_		  =   0
					for name in parts[i + 1 :]:
										while (
										    line_index < len(_lowerCAmelCase) and re.search(rf"""^{indent}(class|def)\s+{name}(\(|\:)"""   ,	lines[line_index]) is None
										):
															line_index += 1
										indent += "    "
										line_index += 1

					if line_index >= len(_lowerCAmelCase):
										raise ValueError(f""" {object_name} does not match any function or class in {module}.""")

					# We found the beginning of the class / func, now let's find the end (when the indent diminishes).
					UpperCamelCase_		  =   line_index
					while line_index < len(_lowerCAmelCase) and _should_continue(lines[line_index]   ,	_lowerCAmelCase):
										line_index += 1
					# Clean up empty lines at the end (if any).
					while len(lines[line_index - 1]) <= 1:
										line_index -= 1

					UpperCamelCase_		  =   lines[start_index:line_index]
					return "".join(_lowerCAmelCase)


UpperCAmelCase   :							Any							 =re.compile(r"""^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)""")
UpperCAmelCase   :							Any							 =re.compile(r"""^\s*(\S+)->(\S+)(\s+.*|$)""")
UpperCAmelCase   :							Dict							 =re.compile(r"""<FILL\s+[^>]*>""")



def    _lowerCAmelCase    (_lowerCAmelCase):
					UpperCamelCase_		  =   code.split("\n")
					UpperCamelCase_		  =   0
					while idx < len(_lowerCAmelCase) and len(lines[idx]) == 0:
										idx += 1
					if idx < len(_lowerCAmelCase):
										return re.search(r"^(\s*)\S"   ,	lines[idx]).groups()[0]
					return ""



def    _lowerCAmelCase    (_lowerCAmelCase):
					UpperCamelCase_		  =   len(get_indent(_lowerCAmelCase)) > 0
					if has_indent:
										UpperCamelCase_		  =   f"""class Bla:\n{code}"""
					UpperCamelCase_		  =   black.Mode(target_versions={black.TargetVersion.PYaa}   ,	line_length=1_19   ,	preview=_lowerCAmelCase)
					UpperCamelCase_		  =   black.format_str(_lowerCAmelCase   ,	mode=_lowerCAmelCase)
					UpperCamelCase_  ,    UpperCamelCase_		  =   style_docstrings_in_code(_lowerCAmelCase)
					return result[len("class Bla:\n") :] if has_indent else result



def    _lowerCAmelCase    (_lowerCAmelCase   ,	_lowerCAmelCase=False):
					with open(_lowerCAmelCase   ,	"r"   ,	encoding="utf-8"   ,	newline="\n") as f:
										UpperCamelCase_		  =   f.readlines()
					UpperCamelCase_		  =   []
					UpperCamelCase_		  =   0
					# Not a for loop cause `lines` is going to change (if `overwrite=True`).
					while line_index < len(_lowerCAmelCase):
										UpperCamelCase_		  =   _re_copy_warning.search(lines[line_index])
										if search is None:
															line_index += 1
															continue

										# There is some copied code here, let's retrieve the original.
										UpperCamelCase_  ,    UpperCamelCase_  ,    UpperCamelCase_		  =   search.groups()
										UpperCamelCase_		  =   find_code_in_diffusers(_lowerCAmelCase)
										UpperCamelCase_		  =   get_indent(_lowerCAmelCase)

										UpperCamelCase_		  =   line_index + 1 if indent == theoretical_indent else line_index + 2
										UpperCamelCase_		  =   theoretical_indent
										UpperCamelCase_		  =   start_index

										# Loop to check the observed code, stop when indentation diminishes or if we see a End copy comment.
										UpperCamelCase_		  =   True
										while line_index < len(_lowerCAmelCase) and should_continue:
															line_index += 1
															if line_index >= len(_lowerCAmelCase):
																				break
															UpperCamelCase_		  =   lines[line_index]
															UpperCamelCase_		  =   _should_continue(_lowerCAmelCase   ,	_lowerCAmelCase) and re.search(f"""^{indent}# End copy"""   ,	_lowerCAmelCase) is None
										# Clean up empty lines at the end (if any).
										while len(lines[line_index - 1]) <= 1:
															line_index -= 1

										UpperCamelCase_		  =   lines[start_index:line_index]
										UpperCamelCase_		  =   "".join(_lowerCAmelCase)

										# Remove any nested `Copied from` comments to avoid circular copies
										UpperCamelCase_		  =   [line for line in theoretical_code.split("\n") if _re_copy_warning.search(_lowerCAmelCase) is None]
										UpperCamelCase_		  =   "\n".join(_lowerCAmelCase)

										# Before comparing, use the `replace_pattern` on the original code.
										if len(_lowerCAmelCase) > 0:
															UpperCamelCase_		  =   replace_pattern.replace("with"   ,	"").split(",")
															UpperCamelCase_		  =   [_re_replace_pattern.search(_lowerCAmelCase) for p in patterns]
															for pattern in patterns:
																				if pattern is None:
																									continue
																				UpperCamelCase_  ,    UpperCamelCase_  ,    UpperCamelCase_		  =   pattern.groups()
																				UpperCamelCase_		  =   re.sub(_lowerCAmelCase   ,	_lowerCAmelCase   ,	_lowerCAmelCase)
																				if option.strip() == "all-casing":
																									UpperCamelCase_		  =   re.sub(obja.lower()   ,	obja.lower()   ,	_lowerCAmelCase)
																									UpperCamelCase_		  =   re.sub(obja.upper()   ,	obja.upper()   ,	_lowerCAmelCase)

            # Blackify after replacement. To be able to do that, we need the header (class or function definition)
            # from the previous line
															UpperCamelCase_		  =   blackify(lines[start_index - 1] + theoretical_code)
															UpperCamelCase_		  =   theoretical_code[len(lines[start_index - 1]) :]

										# Test for a diff and act accordingly.
										if observed_code != theoretical_code:
															diffs.append([object_name, start_index])
															if overwrite:
																				UpperCamelCase_		  =   lines[:start_index] + [theoretical_code] + lines[line_index:]
																				UpperCamelCase_		  =   start_index + 1

					if overwrite and len(_lowerCAmelCase) > 0:
										# Warn the user a file has been modified.
										print(f"""Detected changes, rewriting {filename}.""")
										with open(_lowerCAmelCase   ,	"w"   ,	encoding="utf-8"   ,	newline="\n") as f:
															f.writelines(_lowerCAmelCase)
					return diffs



def    _lowerCAmelCase    (_lowerCAmelCase = False):
					UpperCamelCase_		  =   glob.glob(os.path.join(_lowerCAmelCase   ,	"**/*.py")   ,	recursive=_lowerCAmelCase)
					UpperCamelCase_		  =   []
					for filename in all_files:
										UpperCamelCase_		  =   is_copy_consistent(_lowerCAmelCase   ,	_lowerCAmelCase)
										diffs += [f"""- {filename}: copy does not match {d[0]} at line {d[1]}""" for d in new_diffs]
					if not overwrite and len(_lowerCAmelCase) > 0:
										UpperCamelCase_		  =   "\n".join(_lowerCAmelCase)
										raise Exception(
										    "Found the following copy inconsistencies:\n"
										    + diff
										    + "\nRun `make fix-copies` or `python utils/check_copies.py --fix_and_overwrite` to fix them.")


if __name__ == "__main__":
	UpperCAmelCase   :							List[str]							 =argparse.ArgumentParser()
	parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
	UpperCAmelCase   :							Tuple							 =parser.parse_args()

	check_copies(args.fix_and_overwrite)
