





"""simple docstring"""





import collections
import importlib.util
import os
import re
from pathlib import Path


_lowerCamelCase    	=      "src/transformers"


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




def 						lowerCAmelCase_      (    lowercase_  :				str						):

 '''simple docstring'''






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




def 						lowerCAmelCase_      (    lowercase_  :				Any						):

 '''simple docstring'''






 with open(lowercase_					, '''r'''					, encoding='''utf-8'''					, newline='''\n'''						) as f:
  __SCREAMING_SNAKE_CASE					:     Dict   				=			f.readlines()

 __SCREAMING_SNAKE_CASE					:     Dict   				=			0
 while line_index < len(lowercase_						) and not lines[line_index].startswith('''_import_structure = {'''						):
  line_index += 1

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

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

 __SCREAMING_SNAKE_CASE					:     Union[str, Any]   				=			{'''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.
  __SCREAMING_SNAKE_CASE					:     str   				=			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:
   __SCREAMING_SNAKE_CASE					:     Any   				=			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

   __SCREAMING_SNAKE_CASE					:     List[str]   				=			[]
   # Until we unindent, add backend objects to the list
   while len(lines[line_index]						) <= 1 or lines[line_index].startswith(''' ''' * 4						):
    __SCREAMING_SNAKE_CASE					:     Union[str, Any]   				=			lines[line_index]
    if _re_import_struct_add_one.search(lowercase_						) is not None:
     objects.append(_re_import_struct_add_one.search(lowercase_						).groups()[0]						)
    elif _re_import_struct_add_many.search(lowercase_						) is not None:
     __SCREAMING_SNAKE_CASE					:     List[str]   				=			_re_import_struct_add_many.search(lowercase_						).groups()[0].split(''', '''						)
     __SCREAMING_SNAKE_CASE					:     Optional[int]   				=			[obj[1:-1] for obj in imports if len(lowercase_						) > 0]
     objects.extend(lowercase_						)
    elif _re_between_brackets.search(lowercase_						) is not None:
     __SCREAMING_SNAKE_CASE					:     Union[str, Any]   				=			_re_between_brackets.search(lowercase_						).groups()[0].split(''', '''						)
     __SCREAMING_SNAKE_CASE					:     str   				=			[obj[1:-1] for obj in imports if len(lowercase_						) > 0]
     objects.extend(lowercase_						)
    elif _re_quote_object.search(lowercase_						) is not None:
     objects.append(_re_quote_object.search(lowercase_						).groups()[0]						)
    elif line.startswith(''' ''' * 8 + '''"'''						):
     objects.append(line[9:-3]						)
    elif line.startswith(''' ''' * 12 + '''"'''						):
     objects.append(line[13:-3]						)
    line_index += 1

   __SCREAMING_SNAKE_CASE					:     Any   				=			objects
  else:
   line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
 __SCREAMING_SNAKE_CASE					:     Optional[int]   				=			[]
 while (
     line_index < len(lowercase_						)
     and find_backend(lines[line_index]						) is None
     and not lines[line_index].startswith('''else'''						)
 ):
  __SCREAMING_SNAKE_CASE					:     Optional[int]   				=			lines[line_index]
  __SCREAMING_SNAKE_CASE					:     Tuple   				=			_re_import.search(lowercase_						)
  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

 __SCREAMING_SNAKE_CASE					:     Any   				=			{'''none''': objects}
 # Let's continue with backend-specific objects
 while line_index < len(lowercase_						):
  # If the line is an if is_backend_available, we grab all objects associated.
  __SCREAMING_SNAKE_CASE					:     List[str]   				=			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:
   __SCREAMING_SNAKE_CASE					:     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

   __SCREAMING_SNAKE_CASE					:     Optional[int]   				=			[]
   # Until we unindent, add backend objects to the list
   while len(lines[line_index]						) <= 1 or lines[line_index].startswith(''' ''' * 8						):
    __SCREAMING_SNAKE_CASE					:     Optional[int]   				=			lines[line_index]
    __SCREAMING_SNAKE_CASE					:     Dict   				=			_re_import.search(lowercase_						)
    if single_line_import_search is not None:
     objects.extend(single_line_import_search.groups()[0].split(''', '''						)						)
    elif line.startswith(''' ''' * 12						):
     objects.append(line[12:-2]						)
    line_index += 1

   __SCREAMING_SNAKE_CASE					:     List[str]   				=			objects
  else:
   line_index += 1

 return import_dict_objects, type_hint_objects




def 						lowerCAmelCase_      (    lowercase_  :				Union[str, Any]					, lowercase_  :				str						):

 '''simple docstring'''






 def find_duplicates(lowercase_  :				Tuple						):
  return [k for k, v in collections.Counter(lowercase_						).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!"]

 __SCREAMING_SNAKE_CASE					:     int   				=			[]
 for key in import_dict_objects.keys():
  __SCREAMING_SNAKE_CASE					:     Dict   				=			find_duplicates(import_dict_objects[key]						)
  if duplicate_imports:
   errors.append(F'''Duplicate _import_structure definitions for: {duplicate_imports}'''						)
  __SCREAMING_SNAKE_CASE					:     Optional[Any]   				=			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]						)						):
   __SCREAMING_SNAKE_CASE					:     Tuple   				=			'''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 						lowerCAmelCase_      (    ):

 '''simple docstring'''






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




def 						lowerCAmelCase_      (    ):

 '''simple docstring'''






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


_lowerCamelCase    	=      [
    "convert_pytorch_checkpoint_to_tf2",
    "modeling_flax_pytorch_utils",
]




def 						lowerCAmelCase_      (    ):

 '''simple docstring'''






 __SCREAMING_SNAKE_CASE					:     str   				=			importlib.util.spec_from_file_location(
     '''transformers'''					, os.path.join(lowercase_					, '''__init__.py'''						)					, submodule_search_locations=[PATH_TO_TRANSFORMERS]					, )
 __SCREAMING_SNAKE_CASE					:     List[Any]   				=			spec.loader.load_module()

 __SCREAMING_SNAKE_CASE					:     List[str]   				=			[
     module
     for module in get_transformers_submodules()
     if module not in IGNORE_SUBMODULES and module not in transformers._import_structure.keys()
 ]
 if len(lowercase_						) > 0:
  __SCREAMING_SNAKE_CASE					:     Optional[int]   				=			'''\n'''.join(F'''- {module}''' for module in module_not_registered						)
  raise ValueError(
      '''The following submodules are not properly registered 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'''



import gc
import unittest

from diffusers import FlaxControlNetModel, FlaxStableDiffusionControlNetPipeline
from diffusers.utils import is_flax_available, load_image, slow
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
     import jax
     import jax.numpy as jnp
     from flax.jax_utils import replicate
     from flax.training.common_utils import shard



@slow
@require_flax
class 				_snake_case					(   unittest.TestCase			):

  def   _SCREAMING_SNAKE_CASE				(				self	):





      '''simple docstring'''

      super().tearDown()
      gc.collect()

  def   _SCREAMING_SNAKE_CASE				(				self	):





      '''simple docstring'''

      lowerCAmelCase						,   lowerCAmelCase 						=							FlaxControlNetModel.from_pretrained(
          'lllyasviel/sd-controlnet-canny'      , from_pt=_SCREAMING_SNAKE_CASE      , dtype=jnp.bfloataa	)
      lowerCAmelCase						,   lowerCAmelCase 						=							FlaxStableDiffusionControlNetPipeline.from_pretrained(
          'runwayml/stable-diffusion-v1-5'      , controlnet=_SCREAMING_SNAKE_CASE      , from_pt=_SCREAMING_SNAKE_CASE      , dtype=jnp.bfloataa	)
      lowerCAmelCase 						=							controlnet_params

      lowerCAmelCase 						=							'bird'
      lowerCAmelCase 						=							jax.device_count()
      lowerCAmelCase 						=							pipe.prepare_text_inputs([prompts] * num_samples	)

      lowerCAmelCase 						=							load_image(
          'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd_controlnet/bird_canny.png'	)
      lowerCAmelCase 						=							pipe.prepare_image_inputs([canny_image] * num_samples	)

      lowerCAmelCase 						=							jax.random.PRNGKey(0	)
      lowerCAmelCase 						=							jax.random.split(_SCREAMING_SNAKE_CASE      , jax.device_count()	)

      lowerCAmelCase 						=							replicate(_SCREAMING_SNAKE_CASE	)
      lowerCAmelCase 						=							shard(_SCREAMING_SNAKE_CASE	)
      lowerCAmelCase 						=							shard(_SCREAMING_SNAKE_CASE	)

      lowerCAmelCase 						=							pipe(
          prompt_ids=_SCREAMING_SNAKE_CASE      , image=_SCREAMING_SNAKE_CASE      , params=_SCREAMING_SNAKE_CASE      , prng_seed=_SCREAMING_SNAKE_CASE      , num_inference_steps=50      , jit=_SCREAMING_SNAKE_CASE      , ).images
      assert images.shape == (jax.device_count(), 1, 7_68, 5_12, 3)

      lowerCAmelCase 						=							images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:]	)
      lowerCAmelCase 						=							images[0, 2_53:2_56, 2_53:2_56, -1]

      lowerCAmelCase 						=							jnp.asarray(jax.device_get(image_slice.flatten()	)	)
      lowerCAmelCase 						=							jnp.array(
          [0.167_969, 0.116_699, 0.081_543, 0.154_297, 0.132_812, 0.108_887, 0.169_922, 0.169_922, 0.205_078]	)
      print(F'output_slice: {output_slice}'	)
      assert jnp.abs(output_slice - expected_slice	).max() < 1e-2


  def   _SCREAMING_SNAKE_CASE				(				self	):





      '''simple docstring'''

      lowerCAmelCase						,   lowerCAmelCase 						=							FlaxControlNetModel.from_pretrained(
          'lllyasviel/sd-controlnet-openpose'      , from_pt=_SCREAMING_SNAKE_CASE      , dtype=jnp.bfloataa	)
      lowerCAmelCase						,   lowerCAmelCase 						=							FlaxStableDiffusionControlNetPipeline.from_pretrained(
          'runwayml/stable-diffusion-v1-5'      , controlnet=_SCREAMING_SNAKE_CASE      , from_pt=_SCREAMING_SNAKE_CASE      , dtype=jnp.bfloataa	)
      lowerCAmelCase 						=							controlnet_params

      lowerCAmelCase 						=							'Chef in the kitchen'
      lowerCAmelCase 						=							jax.device_count()
      lowerCAmelCase 						=							pipe.prepare_text_inputs([prompts] * num_samples	)

      lowerCAmelCase 						=							load_image(
          'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd_controlnet/pose.png'	)
      lowerCAmelCase 						=							pipe.prepare_image_inputs([pose_image] * num_samples	)

      lowerCAmelCase 						=							jax.random.PRNGKey(0	)
      lowerCAmelCase 						=							jax.random.split(_SCREAMING_SNAKE_CASE      , jax.device_count()	)

      lowerCAmelCase 						=							replicate(_SCREAMING_SNAKE_CASE	)
      lowerCAmelCase 						=							shard(_SCREAMING_SNAKE_CASE	)
      lowerCAmelCase 						=							shard(_SCREAMING_SNAKE_CASE	)

      lowerCAmelCase 						=							pipe(
          prompt_ids=_SCREAMING_SNAKE_CASE      , image=_SCREAMING_SNAKE_CASE      , params=_SCREAMING_SNAKE_CASE      , prng_seed=_SCREAMING_SNAKE_CASE      , num_inference_steps=50      , jit=_SCREAMING_SNAKE_CASE      , ).images
      assert images.shape == (jax.device_count(), 1, 7_68, 5_12, 3)

      lowerCAmelCase 						=							images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:]	)
      lowerCAmelCase 						=							images[0, 2_53:2_56, 2_53:2_56, -1]

      lowerCAmelCase 						=							jnp.asarray(jax.device_get(image_slice.flatten()	)	)
      lowerCAmelCase 						=							jnp.array(
          [[0.271_484, 0.261_719, 0.275_391, 0.277_344, 0.279_297, 0.291_016, 0.294_922, 0.302_734, 0.302_734]]	)
      print(F'output_slice: {output_slice}'	)
      assert jnp.abs(output_slice - expected_slice	).max() < 1e-2





