
"""simple docstring"""

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 		UpperCAmelCase (		a_      ):





  '''simple docstring'''


  lowerCamelCase					:      Union[str, Any]          =   _re_indent.search(a_      )
  return "" if search is None else search.groups()[0]
def 		UpperCAmelCase (		a_,						a_="",						a_=None,						a_=None      ):





  '''simple docstring'''


  lowerCamelCase					:      str          =   0
  lowerCamelCase					:      List[Any]          =   code.split('\n'      )
  if start_prompt is not None:
    while not lines[index].startswith(a_      ):
      index += 1
    lowerCamelCase					:      List[Any]          =   ['\n'.join(lines[:index]      )]
  else:
    lowerCamelCase					:      str          =   []

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

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

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

  return blocks
def 		UpperCAmelCase (		a_      ):





  '''simple docstring'''


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

  return _inner
def 		UpperCAmelCase (		a_,						a_=None      ):





  '''simple docstring'''


  def noop(a_      ):
    return x

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

  lowerCamelCase					:      Optional[Any]          =   ignore_underscore(a_      )
  return sorted(a_,						key=a_      ) + sorted(a_,						key=a_      ) + sorted(a_,						key=a_      )
def 		UpperCAmelCase (		a_      ):





  '''simple docstring'''


  def _replace(a_      ):
    lowerCamelCase					:      Dict          =   match.groups()[0]
    if "," not in imports:
      return F"""[{imports}]"""
    lowerCamelCase					:      Optional[int]          =   [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					:      Any          =   keys[:-1]
    return "[" + ", ".join([F"""\"{k}\"""" for k in sort_objects(a_      )]      ) + "]"

  lowerCamelCase					:      int          =   import_statement.split('\n'      )
  if len(a_      ) > 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					:      int          =   2 if lines[1].strip() == '[' else 1
    lowerCamelCase					:      Union[str, Any]          =   [(i, _re_strip_line.search(a_      ).groups()[0]) for i, line in enumerate(lines[idx:-idx]      )]
    lowerCamelCase					:      Tuple          =   sort_objects(a_,						key=lambda a_      : x[1]      )
    lowerCamelCase					:      List[Any]          =   [lines[x[0] + idx] for x in sorted_indices]
    return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]      )
  elif len(a_      ) == 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					:      List[Any]          =   _re_bracket_content.sub(_replace,						lines[1]      )
    else:
      lowerCamelCase					:      Any          =   [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					:      Dict          =   keys[:-1]
      lowerCamelCase					:      Dict          =   get_indent(lines[1]      ) + ', '.join([F"""\"{k}\"""" for k in sort_objects(a_      )]      )
    return "\n".join(a_      )
  else:
    # Finally we have to deal with imports fitting on one line
    lowerCamelCase					:      Tuple          =   _re_bracket_content.sub(_replace,						a_      )
    return import_statement
def 		UpperCAmelCase (		a_,						a_=True      ):





  '''simple docstring'''


  with open(a_,						encoding='utf-8'      ) as f:
    lowerCamelCase					:      Union[str, Any]          =   f.read()

  if "_import_structure" not in code:
    return

  # Blocks of indent level 0
  lowerCamelCase					:      Any          =   split_code_in_indented_blocks(
      a_,						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(a_      ) - 1      ):
    # Check if the block contains some `_import_structure`s thingy to sort.
    lowerCamelCase					:      List[Any]          =   main_blocks[block_idx]
    lowerCamelCase					:      str          =   block.split('\n'      )

    # Get to the start of the imports.
    lowerCamelCase					:      int          =   0
    while line_idx < len(a_      ) and "_import_structure" not in block_lines[line_idx]:
      # Skip dummy import blocks
      if "import dummy" in block_lines[line_idx]:
        lowerCamelCase					:      Optional[int]          =   len(a_      )
      else:
        line_idx += 1
    if line_idx >= len(a_      ):
      continue

    # Ignore beginning and last line: they don't contain anything.
    lowerCamelCase					:      Union[str, Any]          =   '\n'.join(block_lines[line_idx:-1]      )
    lowerCamelCase					:      Dict          =   get_indent(block_lines[1]      )
    # Slit the internal block into blocks of indent level 1.
    lowerCamelCase					:      int          =   split_code_in_indented_blocks(a_,						indent_level=a_      )
    # We have two categories of import key: list or _import_structure[key].append/extend
    lowerCamelCase					:      Union[str, 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[int]          =   [(pattern.search(a_      ).groups()[0] if pattern.search(a_      ) is not None else None) for b in internal_blocks]
    # We only sort the lines with a key.
    lowerCamelCase					:      List[Any]          =   [(i, key) for i, key in enumerate(a_      ) if key is not None]
    lowerCamelCase					:      Union[str, Any]          =   [x[0] for x in sorted(a_,						key=lambda a_      : x[1]      )]

    # We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
    lowerCamelCase					:      Dict          =   0
    lowerCamelCase					:      str          =   []
    for i in range(len(a_      )      ):
      if keys[i] is None:
        reorderded_blocks.append(internal_blocks[i]      )
      else:
        lowerCamelCase					:      Tuple          =   sort_objects_in_import(internal_blocks[sorted_indices[count]]      )
        reorderded_blocks.append(a_      )
        count += 1

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

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





  '''simple docstring'''


  lowerCamelCase					:      Tuple          =   []
  for root, _, files in os.walk(a_      ):
    if "__init__.py" in files:
      lowerCamelCase					:      int          =   sort_imports(os.path.join(a_,						'__init__.py'      ),						check_only=a_      )
      if result:
        lowerCamelCase					:      Optional[Any]          =   [os.path.join(a_,						'__init__.py'      )]
  if len(a_      ) > 0:
    raise ValueError(F"""Would overwrite {len(a_      )} 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 os
import tempfile
from functools import partial
from unittest import TestCase
from unittest.mock import patch

import numpy as np
import pytest

from datasets.arrow_dataset import Dataset
from datasets.search import ElasticSearchIndex, FaissIndex, MissingIndex

from .utils import require_elasticsearch, require_faiss


_A						=			pytest.mark.integration






@require_faiss
class 	_lowercase       (    __UpperCAmelCase		):




	def       _UpperCamelCase   (			self )		->							Union[str, Any]:
			lowerCamelCase					:      Any          =   Dataset.from_dict({'filename': ['my_name-train' + '_' + str(UpperCAmelCase_ ) for x in np.arange(30 ).tolist()]} )
			return dset




	def       _UpperCamelCase   (			self )		->							List[Any]:
			import faiss

			lowerCamelCase					:      Dataset          =   self._create_dummy_dataset()
			lowerCamelCase					:      Optional[int]          =   dset.map(
			    lambda UpperCAmelCase_		,			UpperCAmelCase_ : {"vecs": i * np.ones(5		,			dtype=np.floataa )}		,			with_indices=UpperCAmelCase_		,			keep_in_memory=UpperCAmelCase_ )
			lowerCamelCase					:      Dict          =   dset.add_faiss_index('vecs'		,			batch_size=100		,			metric_type=faiss.METRIC_INNER_PRODUCT )
			lowerCamelCase     ,   lowerCamelCase					:      List[str]          =   dset.get_nearest_examples('vecs'		,			np.ones(5		,			dtype=np.floataa ) )
			self.assertEqual(examples['filename'][0]		,			'my_name-train_29' )
			dset.drop_index('vecs' )




	def       _UpperCamelCase   (			self )		->							Tuple:
			import faiss

			lowerCamelCase					:      Dataset          =   self._create_dummy_dataset()
			dset.add_faiss_index_from_external_arrays(
			    external_arrays=np.ones((30, 5) ) * np.arange(30 ).reshape(-1		,			1 )		,			index_name='vecs'		,			batch_size=100		,			metric_type=faiss.METRIC_INNER_PRODUCT		,			)
			lowerCamelCase     ,   lowerCamelCase					:      str          =   dset.get_nearest_examples('vecs'		,			np.ones(5		,			dtype=np.floataa ) )
			self.assertEqual(examples['filename'][0]		,			'my_name-train_29' )




	def       _UpperCamelCase   (			self )		->							int:
			import faiss

			lowerCamelCase					:      Dataset          =   self._create_dummy_dataset()
			dset.add_faiss_index_from_external_arrays(
			    external_arrays=np.ones((30, 5) ) * np.arange(30 ).reshape(-1		,			1 )		,			index_name='vecs'		,			metric_type=faiss.METRIC_INNER_PRODUCT		,			)

			# Setting delete=False and unlinking manually is not pretty... but it is required on Windows to
			# ensure somewhat stable behaviour. If we don't, we get PermissionErrors. This is an age-old issue.
			# see https://bugs.python.org/issue14243 and
			# https://stackoverflow.com/questions/23212435/permission-denied-to-write-to-my-temporary-file/23212515
			with tempfile.NamedTemporaryFile(delete=UpperCAmelCase_ ) as tmp_file:
					dset.save_faiss_index('vecs'		,			tmp_file.name )
					dset.load_faiss_index('vecs2'		,			tmp_file.name )
			os.unlink(tmp_file.name )

			lowerCamelCase     ,   lowerCamelCase					:      List[str]          =   dset.get_nearest_examples('vecs2'		,			np.ones(5		,			dtype=np.floataa ) )
			self.assertEqual(examples['filename'][0]		,			'my_name-train_29' )




	def       _UpperCamelCase   (			self )		->							Any:
			lowerCamelCase					:      Dataset          =   self._create_dummy_dataset()
			dset.add_faiss_index_from_external_arrays(
			    external_arrays=np.ones((30, 5) ) * np.arange(30 ).reshape(-1		,			1 )		,			index_name='vecs' )
			dset.drop_index('vecs' )
			self.assertRaises(UpperCAmelCase_		,			partial(dset.get_nearest_examples		,			'vecs2'		,			np.ones(5		,			dtype=np.floataa ) ) )




	def       _UpperCamelCase   (			self )		->							Union[str, Any]:
			from elasticsearch import Elasticsearch

			lowerCamelCase					:      Dataset          =   self._create_dummy_dataset()
			with patch('elasticsearch.Elasticsearch.search' ) as mocked_search, patch(
			    'elasticsearch.client.IndicesClient.create' ) as mocked_index_create, patch('elasticsearch.helpers.streaming_bulk' ) as mocked_bulk:
					lowerCamelCase					:      Tuple          =   {'acknowledged': True}
					mocked_bulk.return_value([(True, None)] * 30 )
					lowerCamelCase					:      int          =   {'hits': {'hits': [{'_score': 1, '_id': 29}]}}
					lowerCamelCase					:      Optional[Any]          =   Elasticsearch()

					dset.add_elasticsearch_index('filename'		,			es_client=UpperCAmelCase_ )
					lowerCamelCase     ,   lowerCamelCase					:      str          =   dset.get_nearest_examples('filename'		,			'my_name-train_29' )
					self.assertEqual(examples['filename'][0]		,			'my_name-train_29' )






@require_faiss
class 	_lowercase       (    __UpperCAmelCase		):




	def       _UpperCamelCase   (			self )		->							Union[str, Any]:
			import faiss

			lowerCamelCase					:      str          =   FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT )

			# add vectors
			index.add_vectors(np.eye(5		,			dtype=np.floataa ) )
			self.assertIsNotNone(index.faiss_index )
			self.assertEqual(index.faiss_index.ntotal		,			5 )
			index.add_vectors(np.zeros((5, 5)		,			dtype=np.floataa ) )
			self.assertEqual(index.faiss_index.ntotal		,			10 )

			# single query
			lowerCamelCase					:      Optional[int]          =   np.zeros(5		,			dtype=np.floataa )
			lowerCamelCase					:      List[str]          =   1
			lowerCamelCase     ,   lowerCamelCase					:      int          =   index.search(UpperCAmelCase_ )
			self.assertRaises(UpperCAmelCase_		,			index.search		,			query.reshape(-1		,			1 ) )
			self.assertGreater(scores[0]		,			0 )
			self.assertEqual(indices[0]		,			1 )

			# batched queries
			lowerCamelCase					:      Tuple          =   np.eye(5		,			dtype=np.floataa )[::-1]
			lowerCamelCase     ,   lowerCamelCase					:      List[str]          =   index.search_batch(UpperCAmelCase_ )
			self.assertRaises(UpperCAmelCase_		,			index.search_batch		,			queries[0] )
			lowerCamelCase					:      List[str]          =   [scores[0] for scores in total_scores]
			lowerCamelCase					:      List[str]          =   [indices[0] for indices in total_indices]
			self.assertGreater(np.min(UpperCAmelCase_ )		,			0 )
			self.assertListEqual([4, 3, 2, 1, 0]		,			UpperCAmelCase_ )




	def       _UpperCamelCase   (			self )		->							Dict:
			import faiss

			lowerCamelCase					:      List[Any]          =   FaissIndex(string_factory='Flat' )
			index.add_vectors(np.eye(5		,			dtype=np.floataa ) )
			self.assertIsInstance(index.faiss_index		,			faiss.IndexFlat )
			lowerCamelCase					:      int          =   FaissIndex(string_factory='LSH' )
			index.add_vectors(np.eye(5		,			dtype=np.floataa ) )
			self.assertIsInstance(index.faiss_index		,			faiss.IndexLSH )
			with self.assertRaises(UpperCAmelCase_ ):
					lowerCamelCase					:      str          =   FaissIndex(string_factory='Flat'		,			custom_index=faiss.IndexFlat(5 ) )




	def       _UpperCamelCase   (			self )		->							Any:
			import faiss

			lowerCamelCase					:      Any          =   faiss.IndexFlat(5 )
			lowerCamelCase					:      Any          =   FaissIndex(custom_index=UpperCAmelCase_ )
			index.add_vectors(np.eye(5		,			dtype=np.floataa ) )
			self.assertIsInstance(index.faiss_index		,			faiss.IndexFlat )




	def       _UpperCamelCase   (			self )		->							Any:
			import faiss

			lowerCamelCase					:      Any          =   FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT )
			index.add_vectors(np.eye(5		,			dtype=np.floataa ) )

			# Setting delete=False and unlinking manually is not pretty... but it is required on Windows to
			# ensure somewhat stable behaviour. If we don't, we get PermissionErrors. This is an age-old issue.
			# see https://bugs.python.org/issue14243 and
			# https://stackoverflow.com/questions/23212435/permission-denied-to-write-to-my-temporary-file/23212515
			with tempfile.NamedTemporaryFile(delete=UpperCAmelCase_ ) as tmp_file:
					index.save(tmp_file.name )
					lowerCamelCase					:      List[str]          =   FaissIndex.load(tmp_file.name )
			os.unlink(tmp_file.name )

			lowerCamelCase					:      Dict          =   np.zeros(5		,			dtype=np.floataa )
			lowerCamelCase					:      Optional[Any]          =   1
			lowerCamelCase     ,   lowerCamelCase					:      str          =   index.search(UpperCAmelCase_ )
			self.assertGreater(scores[0]		,			0 )
			self.assertEqual(indices[0]		,			1 )


@require_faiss
def 		UpperCAmelCase (		a_      ):





		'''simple docstring'''


		import faiss

		lowerCamelCase					:      int          =   FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT      )
		index.add_vectors(np.eye(5,						dtype=np.floataa      )      )

		lowerCamelCase					:      Union[str, Any]          =   'index.faiss'
		lowerCamelCase					:      List[Any]          =   F"""mock://{index_name}"""
		index.save(a_,						storage_options=mockfs.storage_options      )
		lowerCamelCase					:      Optional[int]          =   FaissIndex.load(a_,						storage_options=mockfs.storage_options      )

		lowerCamelCase					:      str          =   np.zeros(5,						dtype=np.floataa      )
		lowerCamelCase					:      str          =   1
		lowerCamelCase     ,   lowerCamelCase					:      int          =   index.search(a_      )
		assert scores[0] > 0
		assert indices[0] == 1






@require_elasticsearch
class 	_lowercase       (    __UpperCAmelCase		):




	def       _UpperCamelCase   (			self )		->							int:
			from elasticsearch import Elasticsearch

			with patch('elasticsearch.Elasticsearch.search' ) as mocked_search, patch(
			    'elasticsearch.client.IndicesClient.create' ) as mocked_index_create, patch('elasticsearch.helpers.streaming_bulk' ) as mocked_bulk:
					lowerCamelCase					:      Union[str, Any]          =   Elasticsearch()
					lowerCamelCase					:      Optional[Any]          =   {'acknowledged': True}
					lowerCamelCase					:      str          =   ElasticSearchIndex(es_client=UpperCAmelCase_ )
					mocked_bulk.return_value([(True, None)] * 3 )
					index.add_documents(['foo', 'bar', 'foobar'] )

					# single query
					lowerCamelCase					:      Tuple          =   'foo'
					lowerCamelCase					:      List[str]          =   {'hits': {'hits': [{'_score': 1, '_id': 0}]}}
					lowerCamelCase     ,   lowerCamelCase					:      Any          =   index.search(UpperCAmelCase_ )
					self.assertEqual(scores[0]		,			1 )
					self.assertEqual(indices[0]		,			0 )

					# single query with timeout
					lowerCamelCase					:      Dict          =   'foo'
					lowerCamelCase					:      Optional[Any]          =   {'hits': {'hits': [{'_score': 1, '_id': 0}]}}
					lowerCamelCase     ,   lowerCamelCase					:      Optional[Any]          =   index.search(UpperCAmelCase_		,			request_timeout=30 )
					self.assertEqual(scores[0]		,			1 )
					self.assertEqual(indices[0]		,			0 )

					# batched queries
					lowerCamelCase					:      str          =   ['foo', 'bar', 'foobar']
					lowerCamelCase					:      Union[str, Any]          =   {'hits': {'hits': [{'_score': 1, '_id': 1}]}}
					lowerCamelCase     ,   lowerCamelCase					:      Optional[int]          =   index.search_batch(UpperCAmelCase_ )
					lowerCamelCase					:      Dict          =   [scores[0] for scores in total_scores]
					lowerCamelCase					:      Optional[int]          =   [indices[0] for indices in total_indices]
					self.assertGreater(np.min(UpperCAmelCase_ )		,			0 )
					self.assertListEqual([1, 1, 1]		,			UpperCAmelCase_ )

					# batched queries with timeout
					lowerCamelCase					:      List[str]          =   ['foo', 'bar', 'foobar']
					lowerCamelCase					:      str          =   {'hits': {'hits': [{'_score': 1, '_id': 1}]}}
					lowerCamelCase     ,   lowerCamelCase					:      Dict          =   index.search_batch(UpperCAmelCase_		,			request_timeout=30 )
					lowerCamelCase					:      Dict          =   [scores[0] for scores in total_scores]
					lowerCamelCase					:      int          =   [indices[0] for indices in total_indices]
					self.assertGreater(np.min(UpperCAmelCase_ )		,			0 )
					self.assertListEqual([1, 1, 1]		,			UpperCAmelCase_ )






