






import enum
import warnings

from ..tokenization_utils import TruncationStrategy
from ..utils import add_end_docstrings, is_tf_available, is_torch_available, logging
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_tf_available():
							import tensorflow as tf

							from ..models.auto.modeling_tf_auto import TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING

if is_torch_available():
							from ..models.auto.modeling_auto import MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING

A__			:    Tuple         =				logging.get_logger(__name__)
class    _UpperCAmelCase      ( enum.Enum			):

				"""simple docstring"""




				lowercase__       							= 0
				lowercase__       							= 1



@add_end_docstrings(A__			)
class    _UpperCAmelCase      ( A__			):

				"""simple docstring"""




				lowercase__       							= """generated"""




				def __init__(  self		:					Any,						*lowerCamelCase		:					Dict,						**lowerCamelCase		:					Tuple						):

								'''simple docstring'''
								super().__init__(*lowercase_,						**lowercase_						)

								self.check_model_type(
								    TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
								    if self.framework == '''tf'''
								    else MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING						)




				def        lowercase__     (  self		:					Optional[int],						lowerCamelCase		:					Union[str, Any]=None,						lowerCamelCase		:					Optional[Any]=None,						lowerCamelCase		:					Optional[int]=None,						lowerCamelCase		:					Optional[Any]=None,						lowerCamelCase		:					Any=None,						lowerCamelCase		:					Union[str, Any]=None,						**lowerCamelCase		:					Optional[Any],						):

								'''simple docstring'''
								lowercase__     				=    {}
								if truncation is not None:
												lowercase__     				=    truncation

								lowercase__     				=    generate_kwargs

								lowercase__     				=    {}
								if return_tensors is not None and return_type is None:
												lowercase__     				=    ReturnType.TENSORS if return_tensors else ReturnType.TEXT
								if return_type is not None:
												lowercase__     				=    return_type

								if clean_up_tokenization_spaces is not None:
												lowercase__     				=    clean_up_tokenization_spaces

								if stop_sequence is not None:
												lowercase__     				=    self.tokenizer.encode(lowercase_,						add_special_tokens=lowercase_						)
												if len(lowercase_						) > 1:
																warnings.warn(
																    '''Stopping on a multiple token sequence is not yet supported on transformers. The first token of'''
																    ''' the stop sequence will be used as the stop sequence string in the interim.'''						)
												lowercase__     				=    stop_sequence_ids[0]

								return preprocess_params, forward_params, postprocess_params




				def        lowercase__     (  self		:					int,						lowerCamelCase		:					int,						lowerCamelCase		:					int,						lowerCamelCase		:					int						):

								'''simple docstring'''
								return True




				def        lowercase__     (  self		:					Dict,						*lowerCamelCase		:					List[str],						lowerCamelCase		:					List[Any]						):

								'''simple docstring'''
								lowercase__     				=    self.model.config.prefix if self.model.config.prefix is not None else ''''''
								if isinstance(args[0],						lowercase_						):
												if self.tokenizer.pad_token_id is None:
																raise ValueError('''Please make sure that the tokenizer has a pad_token_id when using a batch input'''						)
												lowercase__     				=    ([prefix + arg for arg in args[0]],)
												lowercase__     				=    True

								elif isinstance(args[0],						lowercase_						):
												lowercase__     				=    (prefix + args[0],)
												lowercase__     				=    False
								else:
												raise ValueError(
												    F""" `args[0]`: {args[0]} have the wrong format. The should be either of type `str` or type `list`"""						)
								lowercase__     				=    self.tokenizer(*lowercase_,						padding=lowercase_,						truncation=lowercase_,						return_tensors=self.framework						)
								# This is produced by tokenizers but is an invalid generate kwargs
								if "token_type_ids" in inputs:
												del inputs["token_type_ids"]
								return inputs




				def __call__(  self		:					List[Any],						*lowerCamelCase		:					Any,						**lowerCamelCase		:					int						):

								'''simple docstring'''
								lowercase__     				=    super().__call__(*lowercase_,						**lowercase_						)
								if (
								    isinstance(args[0],						lowercase_						)
								    and all(isinstance(lowercase_,						lowercase_						) for el in args[0]						)
								    and all(len(lowercase_						) == 1 for res in result						)
								):
												return [res[0] for res in result]
								return result




				def        lowercase__     (  self		:					Tuple,						lowerCamelCase		:					Union[str, Any],						lowerCamelCase		:					str=TruncationStrategy.DO_NOT_TRUNCATE,						**lowerCamelCase		:					Dict						):

								'''simple docstring'''
								lowercase__     				=    self._parse_and_tokenize(lowercase_,						truncation=lowercase_,						**lowercase_						)
								return inputs




				def        lowercase__     (  self		:					str,						lowerCamelCase		:					str,						**lowerCamelCase		:					str						):

								'''simple docstring'''







								if self.framework == "pt":
												lowercase__				,		lowercase__     				=    model_inputs['''input_ids'''].shape
								elif self.framework == "tf":
												lowercase__				,		lowercase__     				=    tf.shape(model_inputs['''input_ids''']						).numpy()

								lowercase__     				=    generate_kwargs.get('''min_length''',						self.model.config.min_length						)
								lowercase__     				=    generate_kwargs.get('''max_length''',						self.model.config.max_length						)
								self.check_inputs(lowercase_,						generate_kwargs['''min_length'''],						generate_kwargs['''max_length''']						)
								lowercase__     				=    self.model.generate(**lowercase_,						**lowercase_						)
								lowercase__     				=    output_ids.shape[0]
								if self.framework == "pt":
												lowercase__     				=    output_ids.reshape(lowercase_,						out_b // in_b,						*output_ids.shape[1:]						)
								elif self.framework == "tf":
												lowercase__     				=    tf.reshape(lowercase_,						(in_b, out_b // in_b, *output_ids.shape[1:])						)
								return {"output_ids": output_ids}




				def        lowercase__     (  self		:					Dict,						lowerCamelCase		:					str,						lowerCamelCase		:					int=ReturnType.TEXT,						lowerCamelCase		:					int=False						):

								'''simple docstring'''
								lowercase__     				=    []
								for output_ids in model_outputs["output_ids"][0]:
												if return_type == ReturnType.TENSORS:
																lowercase__     				=    {F"""{self.return_name}_token_ids""": output_ids}
												elif return_type == ReturnType.TEXT:
																lowercase__     				=    {
																    F"""{self.return_name}_text""": self.tokenizer.decode(
																        lowercase_,						skip_special_tokens=lowercase_,						clean_up_tokenization_spaces=lowercase_,						)
																}
												records.append(lowercase_						)
								return records



@add_end_docstrings(A__			)
class    _UpperCAmelCase      ( A__			):

				"""simple docstring"""




				lowercase__       							= """summary"""




				def __call__(  self		:					Optional[Any],						*lowerCamelCase		:					int,						**lowerCamelCase		:					Dict						):

								'''simple docstring'''
								return super().__call__(*lowercase_,						**lowercase_						)




				def        lowercase__     (  self		:					List[str],						lowerCamelCase		:					int,						lowerCamelCase		:					int,						lowerCamelCase		:					int						):

								'''simple docstring'''







								if max_length < min_length:
												logger.warning(F"""Your min_length={min_length} must be inferior than your max_length={max_length}."""						)

								if input_length < max_length:
												logger.warning(
												    F"""Your max_length is set to {max_length}, but your input_length is only {input_length}. Since this is """
												    '''a summarization task, where outputs shorter than the input are typically wanted, you might '''
												    F"""consider decreasing max_length manually, e.g. summarizer(\'...\', max_length={input_length//2})"""						)



@add_end_docstrings(A__			)
class    _UpperCAmelCase      ( A__			):

				"""simple docstring"""




				lowercase__       							= """translation"""




				def        lowercase__     (  self		:					Dict,						lowerCamelCase		:					int,						lowerCamelCase		:					int,						lowerCamelCase		:					int						):

								'''simple docstring'''







								if input_length > 0.9 * max_length:
												logger.warning(
												    F"""Your input_length: {input_length} is bigger than 0.9 * max_length: {max_length}. You might consider """
												    '''increasing your max_length manually, e.g. translator(\'...\', max_length=400)'''						)
								return True




				def        lowercase__     (  self		:					Tuple,						*lowerCamelCase		:					Any,						lowerCamelCase		:					List[Any]=TruncationStrategy.DO_NOT_TRUNCATE,						lowerCamelCase		:					Any=None,						lowerCamelCase		:					Optional[Any]=None						):

								'''simple docstring'''







								if getattr(self.tokenizer,						'''_build_translation_inputs''',						lowercase_						):
												return self.tokenizer._build_translation_inputs(
												    *lowercase_,						return_tensors=self.framework,						truncation=lowercase_,						src_lang=lowercase_,						tgt_lang=lowercase_						)
								else:
												return super()._parse_and_tokenize(*lowercase_,						truncation=lowercase_						)




				def        lowercase__     (  self		:					List[str],						lowerCamelCase		:					Dict=None,						lowerCamelCase		:					str=None,						**lowerCamelCase		:					List[Any]						):

								'''simple docstring'''
								lowercase__				,		lowercase__				,		lowercase__     				=    super()._sanitize_parameters(**lowercase_						)
								if src_lang is not None:
												lowercase__     				=    src_lang
								if tgt_lang is not None:
												lowercase__     				=    tgt_lang
								if src_lang is None and tgt_lang is None:
												# Backward compatibility, direct arguments use is preferred.
												lowercase__     				=    kwargs.get('''task''',						self.task						)
												lowercase__     				=    task.split('''_'''						)
												if task and len(lowercase_						) == 4:
																# translation, XX, to YY
																lowercase__     				=    items[1]
																lowercase__     				=    items[3]
								return preprocess_params, forward_params, postprocess_params




				def __call__(  self		:					List[str],						*lowerCamelCase		:					List[str],						**lowerCamelCase		:					str						):

								'''simple docstring'''
								return super().__call__(*lowercase_,						**lowercase_						)












import argparse
import os
import re


A__			:    Optional[int]         =				'src/transformers'

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






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				lowercase__     				=    _re_indent.search(lowerCamelCase_       )
				return "" if search is None else search.groups()[0]






def 						a    (		lowerCamelCase_	,     lowerCamelCase_=""	,     lowerCamelCase_=None	,     lowerCamelCase_=None       ):






				'''simple docstring'''
				lowercase__     				=    0
				lowercase__     				=    code.split('''\n'''       )
				if start_prompt is not None:
								while not lines[index].startswith(lowerCamelCase_       ):
												index += 1
								lowercase__     				=    ['''\n'''.join(lines[:index]       )]
				else:
								lowercase__     				=    []

				# We split into blocks until we get to the `end_prompt` (or the end of the block).
				lowercase__     				=    [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:
																				lowercase__     				=    [lines[index + 1]]
																				index += 1
																else:
																				lowercase__     				=    []
												else:
																blocks.append('''\n'''.join(lowerCamelCase_       )       )
																lowercase__     				=    [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 						a    (		lowerCamelCase_       ):






				'''simple docstring'''

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

				return _inner






def 						a    (		lowerCamelCase_	,     lowerCamelCase_=None       ):






				'''simple docstring'''

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

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

				lowercase__     				=    ignore_underscore(lowerCamelCase_       )
				return sorted(lowerCamelCase_	,     key=lowerCamelCase_       ) + sorted(lowerCamelCase_	,     key=lowerCamelCase_       ) + sorted(lowerCamelCase_	,     key=lowerCamelCase_       )






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''

				# This inner function sort imports between [ ].
				def _replace(lowerCamelCase_       ):
								lowercase__     				=    match.groups()[0]
								if "," not in imports:
												return F"""[{imports}]"""
								lowercase__     				=    [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:
												lowercase__     				=    keys[:-1]
								return "[" + ", ".join([F"""\"{k}\"""" for k in sort_objects(lowerCamelCase_       )]       ) + "]"

				lowercase__     				=    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.
								lowercase__     				=    2 if lines[1].strip() == '''[''' else 1
								lowercase__     				=    [(i, _re_strip_line.search(lowerCamelCase_       ).groups()[0]) for i, line in enumerate(lines[idx:-idx]       )]
								lowercase__     				=    sort_objects(lowerCamelCase_	,     key=lambda lowerCamelCase_       : x[1]       )
								lowercase__     				=    [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:
												lowercase__     				=    _re_bracket_content.sub(_replace	,     lines[1]       )
								else:
												lowercase__     				=    [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:
																lowercase__     				=    keys[:-1]
												lowercase__     				=    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
								lowercase__     				=    _re_bracket_content.sub(_replace	,     lowerCamelCase_       )
								return import_statement






def 						a    (		lowerCamelCase_	,     lowerCamelCase_=True       ):






				'''simple docstring'''
				with open(lowerCamelCase_	,     encoding='''utf-8'''       ) as f:
								lowercase__     				=    f.read()

				if "_import_structure" not in code:
								return

				# Blocks of indent level 0
				lowercase__     				=    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.
								lowercase__     				=    main_blocks[block_idx]
								lowercase__     				=    block.split('''\n'''       )

								# Get to the start of the imports.
								lowercase__     				=    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]:
																lowercase__     				=    len(lowerCamelCase_       )
												else:
																line_idx += 1
								if line_idx >= len(lowerCamelCase_       ):
												continue

								# Ignore beginning and last line: they don't contain anything.
								lowercase__     				=    '''\n'''.join(block_lines[line_idx:-1]       )
								lowercase__     				=    get_indent(block_lines[1]       )
								# Slit the internal block into blocks of indent level 1.
								lowercase__     				=    split_code_in_indented_blocks(lowerCamelCase_	,     indent_level=lowerCamelCase_       )
								# We have two categories of import key: list or _import_structure[key].append/extend
								lowercase__     				=    _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.
								lowercase__     				=    [(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.
								lowercase__     				=    [(i, key) for i, key in enumerate(lowerCamelCase_       ) if key is not None]
								lowercase__     				=    [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.
								lowercase__     				=    0
								lowercase__     				=    []
								for i in range(len(lowerCamelCase_       )       ):
												if keys[i] is None:
																reorderded_blocks.append(internal_blocks[i]       )
												else:
																lowercase__     				=    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.
								lowercase__     				=    '''\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 						a    (		lowerCamelCase_=True       ):






				'''simple docstring'''
				lowercase__     				=    []
				for root, _, files in os.walk(lowerCamelCase_       ):
								if "__init__.py" in files:
												lowercase__     				=    sort_imports(os.path.join(lowerCamelCase_	,     '''__init__.py'''       )	,     check_only=lowerCamelCase_       )
												if result:
																lowercase__     				=    [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__			:    str         =				argparse.ArgumentParser()
							parser.add_argument('--check_only', action='store_true', help='Whether to only check or fix style.')
							A__			:    int         =				parser.parse_args()

							sort_imports_in_all_inits(check_only=args.check_only)




