


"""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 					a__			(				SCREAMING_SNAKE_CASE    :    Dict				):


  '''simple docstring'''







  if _re_test_backend.search(SCREAMING_SNAKE_CASE				) is None:
    return None
  lowerCAmelCase     :     Dict								=							[b[0] for b in _re_backend.findall(SCREAMING_SNAKE_CASE				)]
  backends.sort()
  return "_and_".join(SCREAMING_SNAKE_CASE				)
def 					a__			(				SCREAMING_SNAKE_CASE    :    List[Any]				):


  '''simple docstring'''







  with open(SCREAMING_SNAKE_CASE				,      "r"				,      encoding="utf-8"				,      newline="\n"				) as f:
    lowerCAmelCase     :     Tuple								=							f.readlines()

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

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

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

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

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
  lowerCAmelCase     :     Optional[Any]								=							[]
  while (
      line_index < len(SCREAMING_SNAKE_CASE				)
      and find_backend(lines[line_index]				) is None
      and not lines[line_index].startswith("else"				)
  ):
    lowerCAmelCase     :     Tuple								=							lines[line_index]
    lowerCAmelCase     :     Dict								=							_re_import.search(SCREAMING_SNAKE_CASE				)
    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     :     Optional[int]								=							{"none": objects}
  # Let's continue with backend-specific objects
  while line_index < len(SCREAMING_SNAKE_CASE				):
    # If the line is an if is_backend_available, we grab all objects associated.
    lowerCAmelCase     :     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:
      lowerCAmelCase     :     Dict								=							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     :     Union[str, Any]								=							lines[line_index]
        lowerCAmelCase     :     Dict								=							_re_import.search(SCREAMING_SNAKE_CASE				)
        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     :     int								=							objects
    else:
      line_index += 1

  return import_dict_objects, type_hint_objects
def 					a__			(				SCREAMING_SNAKE_CASE    :    Optional[int]				,      SCREAMING_SNAKE_CASE    :    Union[str, Any]				):


  '''simple docstring'''







  def find_duplicates(SCREAMING_SNAKE_CASE    :    List[Any]				):
    return [k for k, v in collections.Counter(SCREAMING_SNAKE_CASE				).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     :     Dict								=							[]
  for key in import_dict_objects.keys():
    lowerCAmelCase     :     Optional[Any]								=							find_duplicates(import_dict_objects[key]				)
    if duplicate_imports:
      errors.append(f"""Duplicate _import_structure definitions for: {duplicate_imports}"""				)
    lowerCAmelCase     :     Dict								=							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[Any]								=							"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__			(				):


  '''simple docstring'''







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


  '''simple docstring'''







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


lowerCAmelCase__      				=   [
    '''convert_pytorch_checkpoint_to_tf2''',
    '''modeling_flax_pytorch_utils''',
]
def 					a__			(				):


  '''simple docstring'''







  lowerCAmelCase     :     int								=							importlib.util.spec_from_file_location(
      "transformers"				,      os.path.join(SCREAMING_SNAKE_CASE				,      "__init__.py"				)				,      submodule_search_locations=[PATH_TO_TRANSFORMERS]				,      )
  lowerCAmelCase     :     Optional[int]								=							spec.loader.load_module()

  lowerCAmelCase     :     Any								=							[
      module
      for module in get_transformers_submodules()
      if module not in IGNORE_SUBMODULES and module not in transformers._import_structure.keys()
  ]
  if len(SCREAMING_SNAKE_CASE				) > 0:
    lowerCAmelCase     :     Tuple								=							"\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 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


lowerCAmelCase__      				=   pytest.mark.integration


@require_faiss
class       SCREAMING_SNAKE_CASE__				(		lowercase				):
       """simple docstring"""


       def        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     List[str]								=							Dataset.from_dict({"filename": ["my_name-train" + "_" + str(snake_case__						) for x in np.arange(30						).tolist()]}						)
         return dset

       def        lowercase__							(						self						):






         """simple docstring"""





         import faiss

         lowerCAmelCase     :     Dataset								=							self._create_dummy_dataset()
         lowerCAmelCase     :     Union[str, Any]								=							dset.map(
             lambda snake_case__		,     snake_case__						: {"vecs": i * np.ones(5		,     dtype=np.floataa						)}		,     with_indices=snake_case__		,     keep_in_memory=snake_case__						)
         lowerCAmelCase     :     Union[str, Any]								=							dset.add_faiss_index("vecs"		,     batch_size=100		,     metric_type=faiss.METRIC_INNER_PRODUCT						)
         lowerCAmelCase						,  lowerCAmelCase     :     Tuple								=							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        lowercase__							(						self						):






         """simple docstring"""





         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     :     Optional[Any]								=							dset.get_nearest_examples("vecs"		,     np.ones(5		,     dtype=np.floataa						)						)
         self.assertEqual(examples["filename"][0]		,     "my_name-train_29"						)

       def        lowercase__							(						self						):






         """simple docstring"""





         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=snake_case__						) 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     :     int								=							dset.get_nearest_examples("vecs2"		,     np.ones(5		,     dtype=np.floataa						)						)
         self.assertEqual(examples["filename"][0]		,     "my_name-train_29"						)

       def        lowercase__							(						self						):






         """simple docstring"""





         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(snake_case__		,     partial(dset.get_nearest_examples		,     "vecs2"		,     np.ones(5		,     dtype=np.floataa						)						)						)







       def        lowercase__							(						self						):






         """simple docstring"""





         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     :     List[str]								=							{"acknowledged": True}
           mocked_bulk.return_value([(True, None)] * 30						)
           lowerCAmelCase     :     List[str]								=							{"hits": {"hits": [{"_score": 1, "_id": 29}]}}
           lowerCAmelCase     :     str								=							Elasticsearch()

           dset.add_elasticsearch_index("filename"		,     es_client=snake_case__						)
           lowerCAmelCase						,  lowerCAmelCase     :     int								=							dset.get_nearest_examples("filename"		,     "my_name-train_29"						)
           self.assertEqual(examples["filename"][0]		,     "my_name-train_29"						)


@require_faiss
class       SCREAMING_SNAKE_CASE__				(		lowercase				):
       """simple docstring"""


       def        lowercase__							(						self						):






         """simple docstring"""





         import faiss

         lowerCAmelCase     :     Optional[int]								=							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     :     int								=							np.zeros(5		,     dtype=np.floataa						)
         lowerCAmelCase     :     Optional[int]								=							1
         lowerCAmelCase						,  lowerCAmelCase     :     Optional[Any]								=							index.search(snake_case__						)
         self.assertRaises(snake_case__		,     index.search		,     query.reshape(-1		,     1						)						)
         self.assertGreater(scores[0]		,     0						)
         self.assertEqual(indices[0]		,     1						)

         # batched queries
         lowerCAmelCase     :     Union[str, Any]								=							np.eye(5		,     dtype=np.floataa						)[::-1]
         lowerCAmelCase						,  lowerCAmelCase     :     str								=							index.search_batch(snake_case__						)
         self.assertRaises(snake_case__		,     index.search_batch		,     queries[0]						)
         lowerCAmelCase     :     Optional[int]								=							[scores[0] for scores in total_scores]
         lowerCAmelCase     :     int								=							[indices[0] for indices in total_indices]
         self.assertGreater(np.min(snake_case__						)		,     0						)
         self.assertListEqual([4, 3, 2, 1, 0]		,     snake_case__						)

       def        lowercase__							(						self						):






         """simple docstring"""





         import faiss

         lowerCAmelCase     :     Dict								=							FaissIndex(string_factory="Flat"						)
         index.add_vectors(np.eye(5		,     dtype=np.floataa						)						)
         self.assertIsInstance(index.faiss_index		,     faiss.IndexFlat						)
         lowerCAmelCase     :     Union[str, Any]								=							FaissIndex(string_factory="LSH"						)
         index.add_vectors(np.eye(5		,     dtype=np.floataa						)						)
         self.assertIsInstance(index.faiss_index		,     faiss.IndexLSH						)
         with self.assertRaises(snake_case__						):
           lowerCAmelCase     :     List[Any]								=							FaissIndex(string_factory="Flat"		,     custom_index=faiss.IndexFlat(5						)						)

       def        lowercase__							(						self						):






         """simple docstring"""





         import faiss

         lowerCAmelCase     :     Any								=							faiss.IndexFlat(5						)
         lowerCAmelCase     :     Union[str, Any]								=							FaissIndex(custom_index=snake_case__						)
         index.add_vectors(np.eye(5		,     dtype=np.floataa						)						)
         self.assertIsInstance(index.faiss_index		,     faiss.IndexFlat						)







       def        lowercase__							(						self						):






         """simple docstring"""





         import faiss

         lowerCAmelCase     :     str								=							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=snake_case__						) as tmp_file:
           index.save(tmp_file.name						)
           lowerCAmelCase     :     int								=							FaissIndex.load(tmp_file.name						)
         os.unlink(tmp_file.name						)

         lowerCAmelCase     :     Union[str, Any]								=							np.zeros(5		,     dtype=np.floataa						)
         lowerCAmelCase     :     List[str]								=							1
         lowerCAmelCase						,  lowerCAmelCase     :     Tuple								=							index.search(snake_case__						)
         self.assertGreater(scores[0]		,     0						)
         self.assertEqual(indices[0]		,     1						)

@require_faiss
def 					a__			(				SCREAMING_SNAKE_CASE    :    Any				):


  '''simple docstring'''







  import faiss

  lowerCAmelCase     :     List[Any]								=							FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT				)
  index.add_vectors(np.eye(5				,      dtype=np.floataa				)				)

  lowerCAmelCase     :     Union[str, Any]								=							"index.faiss"
  lowerCAmelCase     :     List[str]								=							f"""mock://{index_name}"""
  index.save(SCREAMING_SNAKE_CASE				,      storage_options=mockfs.storage_options				)
  lowerCAmelCase     :     Optional[Any]								=							FaissIndex.load(SCREAMING_SNAKE_CASE				,      storage_options=mockfs.storage_options				)

  lowerCAmelCase     :     Optional[int]								=							np.zeros(5				,      dtype=np.floataa				)
  lowerCAmelCase     :     Any								=							1
  lowerCAmelCase						,  lowerCAmelCase     :     Optional[int]								=							index.search(SCREAMING_SNAKE_CASE				)
  assert scores[0] > 0
  assert indices[0] == 1





@require_elasticsearch
class       SCREAMING_SNAKE_CASE__				(		lowercase				):
       """simple docstring"""


       def        lowercase__							(						self						):






         """simple docstring"""





         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     :     List[str]								=							Elasticsearch()
           lowerCAmelCase     :     Dict								=							{"acknowledged": True}
           lowerCAmelCase     :     Optional[int]								=							ElasticSearchIndex(es_client=snake_case__						)
           mocked_bulk.return_value([(True, None)] * 3						)
           index.add_documents(["foo", "bar", "foobar"]						)

           # single query
           lowerCAmelCase     :     List[str]								=							"foo"
           lowerCAmelCase     :     List[str]								=							{"hits": {"hits": [{"_score": 1, "_id": 0}]}}
           lowerCAmelCase						,  lowerCAmelCase     :     Optional[int]								=							index.search(snake_case__						)
           self.assertEqual(scores[0]		,     1						)
           self.assertEqual(indices[0]		,     0						)

           # single query with timeout
           lowerCAmelCase     :     int								=							"foo"
           lowerCAmelCase     :     Any								=							{"hits": {"hits": [{"_score": 1, "_id": 0}]}}
           lowerCAmelCase						,  lowerCAmelCase     :     str								=							index.search(snake_case__		,     request_timeout=30						)
           self.assertEqual(scores[0]		,     1						)
           self.assertEqual(indices[0]		,     0						)

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

           # batched queries with timeout
           lowerCAmelCase     :     Optional[Any]								=							["foo", "bar", "foobar"]
           lowerCAmelCase     :     List[Any]								=							{"hits": {"hits": [{"_score": 1, "_id": 1}]}}
           lowerCAmelCase						,  lowerCAmelCase     :     Any								=							index.search_batch(snake_case__		,     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(snake_case__						)		,     0						)
           self.assertListEqual([1, 1, 1]		,     snake_case__						)





