

"""simple docstring"""


import collections
import os
import re
from pathlib import Path


__A						   =			"src/transformers"


# Matches is_xxx_available()
__A						   =			re.compile(r"is\_([a-z_]*)_available()")
# Catches a one-line _import_struct = {xxx}
__A						   =			re.compile(r"^_import_structure\s+=\s+\{([^\}]+)\}")
# Catches a line with a key-values pattern: "bla": ["foo", "bar"]
__A						   =			re.compile(r"\s+\"\S*\":\s+\[([^\]]*)\]")
# Catches a line if not is_foo_available
__A						   =			re.compile(r"^\s*if\s+not\s+is\_[a-z_]*\_available\(\)")
# Catches a line _import_struct["bla"].append("foo")
__A						   =			re.compile(r"^\s*_import_structure\[\"\S*\"\]\.append\(\"(\S*)\"\)")
# Catches a line _import_struct["bla"].extend(["foo", "bar"]) or _import_struct["bla"] = ["foo", "bar"]
__A						   =			re.compile(r"^\s*_import_structure\[\S*\](?:\.extend\(|\s*=\s+)\[([^\]]*)\]")
# Catches a line with an object between quotes and a comma:     "MyModel",
__A						   =			re.compile(r"^\s+\"([^\"]+)\",")
# Catches a line with objects between brackets only:    ["foo", "bar"],
__A						   =			re.compile(r"^\s+\[([^\]]+)\]")
# Catches a line with from foo import bar, bla, boo
__A						   =			re.compile(r"\s+from\s+\S*\s+import\s+([^\(\s].*)\n")
# Catches a line with try:
__A						   =			re.compile(r"^\s*try:")
# Catches a line with else:
__A						   =			re.compile(r"^\s*else:")






def     a__    (    __SCREAMING_SNAKE_CASE )	->	Dict:


		if _re_test_backend.search(_A ) is None:
				return None
		__lowerCAmelCase:       Optional[Any]          =			[b[0] for b in _re_backend.findall(_A )]
		backends.sort()
		return "_and_".join(_A )






def     a__    (    __SCREAMING_SNAKE_CASE )	->	Dict:


		with open(_A					, "r"					, encoding="utf-8"					, newline="\n" ) as f:
				__lowerCAmelCase:       Any          =			f.readlines()

		__lowerCAmelCase:       List[Any]          =			0
		while line_index < len(_A ) and not lines[line_index].startswith("_import_structure = {" ):
				line_index += 1

		# If this is a traditional init, just return.
		if line_index >= len(_A ):
				return None

		# First grab the objects without a specific backend in _import_structure
		__lowerCAmelCase:       List[str]          =			[]
		while not lines[line_index].startswith("if TYPE_CHECKING" ) and find_backend(lines[line_index] ) is None:
				__lowerCAmelCase:       List[str]          =			lines[line_index]
				# If we have everything on a single line, let's deal with it.
				if _re_one_line_import_struct.search(_A ):
						__lowerCAmelCase:       List[Any]          =			_re_one_line_import_struct.search(_A ).groups()[0]
						__lowerCAmelCase:       Optional[Any]          =			re.findall(R"\[([^\]]+)\]"					, _A )
						for imp in imports:
								objects.extend([obj[1:-1] for obj in imp.split(", " )] )
						line_index += 1
						continue
				__lowerCAmelCase:       Union[str, Any]          =			_re_import_struct_key_value.search(_A )
				if single_line_import_search is not None:
						__lowerCAmelCase:       Optional[Any]          =			[obj[1:-1] for obj in single_line_import_search.groups()[0].split(", " ) if len(_A ) > 0]
						objects.extend(_A )
				elif line.startswith(" " * 8 + "\"" ):
						objects.append(line[9:-3] )
				line_index += 1

		__lowerCAmelCase:       Dict          =			{"none": objects}
		# Let's continue with backend-specific objects in _import_structure
		while not lines[line_index].startswith("if TYPE_CHECKING" ):
				# If the line is an if not is_backend_available, we grab all objects associated.
				__lowerCAmelCase:       Any          =			find_backend(lines[line_index] )
				# Check if the backend declaration is inside a try block:
				if _re_try.search(lines[line_index - 1] ) is None:
						__lowerCAmelCase:       Optional[int]          =			None

				if backend is not None:
						line_index += 1

						# Scroll until we hit the else block of try-except-else
						while _re_else.search(lines[line_index] ) is None:
								line_index += 1

						line_index += 1

						__lowerCAmelCase:       str          =			[]
						# Until we unindent, add backend objects to the list
						while len(lines[line_index] ) <= 1 or lines[line_index].startswith(" " * 4 ):
								__lowerCAmelCase:       Any          =			lines[line_index]
								if _re_import_struct_add_one.search(_A ) is not None:
										objects.append(_re_import_struct_add_one.search(_A ).groups()[0] )
								elif _re_import_struct_add_many.search(_A ) is not None:
										__lowerCAmelCase:       Tuple          =			_re_import_struct_add_many.search(_A ).groups()[0].split(", " )
										__lowerCAmelCase:       str          =			[obj[1:-1] for obj in imports if len(_A ) > 0]
										objects.extend(_A )
								elif _re_between_brackets.search(_A ) is not None:
										__lowerCAmelCase:       int          =			_re_between_brackets.search(_A ).groups()[0].split(", " )
										__lowerCAmelCase:       Optional[int]          =			[obj[1:-1] for obj in imports if len(_A ) > 0]
										objects.extend(_A )
								elif _re_quote_object.search(_A ) is not None:
										objects.append(_re_quote_object.search(_A ).groups()[0] )
								elif line.startswith(" " * 8 + "\"" ):
										objects.append(line[9:-3] )
								elif line.startswith(" " * 1_2 + "\"" ):
										objects.append(line[1_3:-3] )
								line_index += 1

						__lowerCAmelCase:       Any          =			objects
				else:
						line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
		__lowerCAmelCase:       int          =			[]
		while (
		    line_index < len(_A )
		    and find_backend(lines[line_index] ) is None
		    and not lines[line_index].startswith("else" )
		):
				__lowerCAmelCase:       Any          =			lines[line_index]
				__lowerCAmelCase:       Optional[Any]          =			_re_import.search(_A )
				if single_line_import_search is not None:
						objects.extend(single_line_import_search.groups()[0].split(", " ) )
				elif line.startswith(" " * 8 ):
						objects.append(line[8:-2] )
				line_index += 1

		__lowerCAmelCase:       Dict          =			{"none": objects}
		# Let's continue with backend-specific objects
		while line_index < len(_A ):
				# If the line is an if is_backend_available, we grab all objects associated.
				__lowerCAmelCase:       Optional[Any]          =			find_backend(lines[line_index] )
				# Check if the backend declaration is inside a try block:
				if _re_try.search(lines[line_index - 1] ) is None:
						__lowerCAmelCase:       Optional[int]          =			None

				if backend is not None:
						line_index += 1

						# Scroll until we hit the else block of try-except-else
						while _re_else.search(lines[line_index] ) is None:
								line_index += 1

						line_index += 1

						__lowerCAmelCase:       Any          =			[]
						# Until we unindent, add backend objects to the list
						while len(lines[line_index] ) <= 1 or lines[line_index].startswith(" " * 8 ):
								__lowerCAmelCase:       str          =			lines[line_index]
								__lowerCAmelCase:       Any          =			_re_import.search(_A )
								if single_line_import_search is not None:
										objects.extend(single_line_import_search.groups()[0].split(", " ) )
								elif line.startswith(" " * 1_2 ):
										objects.append(line[1_2:-2] )
								line_index += 1

						__lowerCAmelCase:       Optional[int]          =			objects
				else:
						line_index += 1

		return import_dict_objects, type_hint_objects






def     a__    (    __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE )	->	List[Any]:


		def find_duplicates(__SCREAMING_SNAKE_CASE ):
				return [k for k, v in collections.Counter(_A ).items() if v > 1]

		if list(import_dict_objects.keys() ) != list(type_hint_objects.keys() ):
				return ["Both sides of the init do not have the same backends!"]

		__lowerCAmelCase:       int          =			[]
		for key in import_dict_objects.keys():
				__lowerCAmelCase:       List[str]          =			find_duplicates(import_dict_objects[key] )
				if duplicate_imports:
						errors.append(F"Duplicate _import_structure definitions for: {duplicate_imports}" )
				__lowerCAmelCase:       Tuple          =			find_duplicates(type_hint_objects[key] )
				if duplicate_type_hints:
						errors.append(F"Duplicate TYPE_CHECKING objects for: {duplicate_type_hints}" )

				if sorted(set(import_dict_objects[key] ) ) != sorted(set(type_hint_objects[key] ) ):
						__lowerCAmelCase:       List[str]          =			"base imports" if key == "none" else F"{key} backend"
						errors.append(F"Differences for {name}:" )
						for a in type_hint_objects[key]:
								if a not in import_dict_objects[key]:
										errors.append(F"  {a} in TYPE_HINT but not in _import_structure." )
						for a in import_dict_objects[key]:
								if a not in type_hint_objects[key]:
										errors.append(F"  {a} in _import_structure but not in TYPE_HINT." )
		return errors






def     a__    (    )	->	List[str]:
		__lowerCAmelCase:       Tuple          =			[]
		for root, _, files in os.walk(_A ):
				if "__init__.py" in files:
						__lowerCAmelCase:       Any          =			os.path.join(_A					, "__init__.py" )
						__lowerCAmelCase:       Optional[Any]          =			parse_init(_A )
						if objects is not None:
								__lowerCAmelCase:       Optional[Any]          =			analyze_results(*_A )
								if len(_A ) > 0:
										__lowerCAmelCase:       Optional[Any]          =			F"Problem in {fname}, both halves do not define the same objects.\n{errors[0]}"
										failures.append("\n".join(_A ) )
		if len(_A ) > 0:
				raise ValueError("\n\n".join(_A ) )






def     a__    (    )	->	int:
		__lowerCAmelCase:       Tuple          =			[]
		for path, directories, files in os.walk(_A ):
				for folder in directories:
						# Ignore private modules
						if folder.startswith("_" ):
								directories.remove(_A )
								continue
						# Ignore leftovers from branches (empty folders apart from pycache)
						if len(list((Path(_A ) / folder).glob("*.py" ) ) ) == 0:
								continue
						__lowerCAmelCase:       str          =			str((Path(_A ) / folder).relative_to(_A ) )
						__lowerCAmelCase:       Union[str, Any]          =			short_path.replace(os.path.sep					, "." )
						submodules.append(_A )
				for fname in files:
						if fname == "__init__.py":
								continue
						__lowerCAmelCase:       int          =			str((Path(_A ) / fname).relative_to(_A ) )
						__lowerCAmelCase:       str          =			short_path.replace(".py"					, "" ).replace(os.path.sep					, "." )
						if len(submodule.split("." ) ) == 1:
								submodules.append(_A )
		return submodules


__A						   =			[
    "convert_pytorch_checkpoint_to_tf2",
    "modeling_flax_pytorch_utils",
    "models.esm.openfold_utils",
]






def     a__    (    )	->	Any:
		from transformers.utils import direct_transformers_import

		__lowerCAmelCase:       List[str]          =			direct_transformers_import(_A )

		__lowerCAmelCase:       int          =			set(transformers._import_structure.keys() )
		# This contains all the base keys of the _import_structure object defined in the init, but if the user is missing
		# some optional dependencies, they may not have all of them. Thus we read the init to read all additions and
		# (potentiall re-) add them.
		with open(os.path.join(_A					, "__init__.py" )					, "r" ) as f:
				__lowerCAmelCase:       Tuple          =			f.read()
		import_structure_keys.update(set(re.findall(R"import_structure\[\"([^\"]*)\"\]"					, _A ) ) )

		__lowerCAmelCase:       int          =			[
		    module
		    for module in get_transformers_submodules()
		    if module not in IGNORE_SUBMODULES and module not in import_structure_keys
		]

		if len(_A ) > 0:
				__lowerCAmelCase:       Optional[Any]          =			"\n".join(F"- {module}" for module in module_not_registered )
				raise ValueError(
				    "The following submodules are not properly registed in the main init of Transformers:\n"
				    F"{list_of_modules}\n"
				    "Make sure they appear somewhere in the keys of `_import_structure` with an empty list as value." )


if __name__ == "__main__":
			check_all_inits()
			check_submodules()



'''simple docstring'''




from typing import Optional, Tuple

import jax
import jax.numpy as jnp
from flax import linen as nn
from flax.core.frozen_dict import FrozenDict
from transformers import CLIPConfig, FlaxPreTrainedModel
from transformers.models.clip.modeling_flax_clip import FlaxCLIPVisionModule






def 				snake_case__							(			_A:					Union[str, Any]      ,   _A:					Tuple      ,   _A:					Any=1e-12 )    ->	str:

		'''simple docstring'''


		lowerCAmelCase   					=  jnp.divide(emb_a.T      ,   jnp.clip(jnp.linalg.norm(_A      ,   axis=1 )      ,   a_min=_A ) ).T
		lowerCAmelCase   					=  jnp.divide(emb_a.T      ,   jnp.clip(jnp.linalg.norm(_A      ,   axis=1 )      ,   a_min=_A ) ).T
		return jnp.matmul(_A      ,   norm_emb_a.T )






class 				a__(					nn.Module	):


			'''simple docstring'''






			UpperCAmelCase_			:     CLIPConfig
			UpperCAmelCase_			:     jnp.dtype      =       jnp.floataa



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  FlaxCLIPVisionModule(self.config.vision_config)
					lowerCAmelCase   					=  nn.Dense(self.config.projection_dim       ,    use_bias=__lowerCAmelCase       ,    dtype=self.dtype)

					lowerCAmelCase   					=  self.param("""concept_embeds"""       ,    jax.nn.initializers.ones       ,    (17, self.config.projection_dim))
					lowerCAmelCase   					=  self.param(
					    """special_care_embeds"""       ,    jax.nn.initializers.ones       ,    (3, self.config.projection_dim))

					lowerCAmelCase   					=  self.param("""concept_embeds_weights"""       ,    jax.nn.initializers.ones       ,    (17,))
					lowerCAmelCase   					=  self.param("""special_care_embeds_weights"""       ,    jax.nn.initializers.ones       ,    (3,))







			def __call__(   self       ,    __lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase   					=  self.vision_model(__lowerCAmelCase)[1]
					lowerCAmelCase   					=  self.visual_projection(__lowerCAmelCase)

					lowerCAmelCase   					=  jax_cosine_distance(__lowerCAmelCase       ,    self.special_care_embeds)
					lowerCAmelCase   					=  jax_cosine_distance(__lowerCAmelCase       ,    self.concept_embeds)

					# increase this value to create a stronger `nfsw` filter
					# at the cost of increasing the possibility of filtering benign image inputs
					lowerCAmelCase   					=  0.0

					lowerCAmelCase   					=  special_cos_dist - self.special_care_embeds_weights[None, :] + adjustment
					lowerCAmelCase   					=  jnp.round(__lowerCAmelCase       ,    3)
					lowerCAmelCase   					=  jnp.any(special_scores > 0       ,    axis=1       ,    keepdims=__lowerCAmelCase)
					# Use a lower threshold if an image has any special care concept
					lowerCAmelCase   					=  is_special_care * 0.01

					lowerCAmelCase   					=  cos_dist - self.concept_embeds_weights[None, :] + special_adjustment
					lowerCAmelCase   					=  jnp.round(__lowerCAmelCase       ,    3)
					lowerCAmelCase   					=  jnp.any(concept_scores > 0       ,    axis=1)

					return has_nsfw_concepts







class 				a__(					lowerCAmelCase__	):


			'''simple docstring'''






			UpperCAmelCase_			:     int      =       CLIPConfig
			UpperCAmelCase_			:     Any      =       '''clip_input'''
			UpperCAmelCase_			:     List[str]      =       FlaxStableDiffusionSafetyCheckerModule



			def __init__(   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase = None       ,    __lowerCAmelCase = 0       ,    __lowerCAmelCase = jnp.floataa       ,    __lowerCAmelCase = True       ,    **__lowerCAmelCase       ,    ):




					"""simple docstring"""


					if input_shape is None:
							lowerCAmelCase   					=  (1, 224, 224, 3)
					lowerCAmelCase   					=  self.module_class(config=__lowerCAmelCase       ,    dtype=__lowerCAmelCase       ,    **__lowerCAmelCase)
					super().__init__(__lowerCAmelCase       ,    __lowerCAmelCase       ,    input_shape=__lowerCAmelCase       ,    seed=__lowerCAmelCase       ,    dtype=__lowerCAmelCase       ,    _do_init=_do_init)



			def 							a_       (   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase       ,    __lowerCAmelCase = None):




					"""simple docstring"""


					lowerCAmelCase   					=  jax.random.normal(__lowerCAmelCase       ,    __lowerCAmelCase)

					lowerCAmelCase					,     lowerCAmelCase   					=  jax.random.split(__lowerCAmelCase)
					lowerCAmelCase   					=  {"""params""": params_rng, """dropout""": dropout_rng}

					lowerCAmelCase   					=  self.module.init(__lowerCAmelCase       ,    __lowerCAmelCase)["""params"""]

					return random_params







			def __call__(   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase = None       ,    ):




					"""simple docstring"""


					lowerCAmelCase   					=  jnp.transpose(__lowerCAmelCase       ,    (0, 2, 3, 1))

					return self.module.apply(
					    {"""params""": params or self.params}       ,    jnp.array(__lowerCAmelCase       ,    dtype=jnp.floataa)       ,    rngs={}       ,    )




