



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


UpperCAmelCase__     = pytest.mark.integration







@require_faiss
class     __lowerCAmelCase					(    A		):



			def 					_lowerCamelCase (		self     :						Optional[Any])     ->					Optional[Any]:



						"""simple docstring"""






						_UpperCAmelCase	 =     Dataset.from_dict({'filename': ['my_name-train' + '_' + str(A) for x in np.arange(30).tolist()]})
						return dset



			def 					_lowerCamelCase (		self     :						Optional[Any])     ->					List[str]:



						"""simple docstring"""






						import faiss

						_UpperCAmelCase	 =     self._create_dummy_dataset()
						_UpperCAmelCase	 =     dset.map(
						    lambda A				,	A: {"vecs": i * np.ones(5				,	dtype=np.floataa)}				,	with_indices=A				,	keep_in_memory=A)
						_UpperCAmelCase	 =     dset.add_faiss_index('vecs'				,	batch_size=1_00				,	metric_type=faiss.METRIC_INNER_PRODUCT)
						_UpperCAmelCase ,  _UpperCAmelCase	 =     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 					_lowerCamelCase (		self     :						Any)     ->					Optional[int]:



						"""simple docstring"""






						import faiss

						_UpperCAmelCase	 =     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=1_00				,	metric_type=faiss.METRIC_INNER_PRODUCT				,	)
						_UpperCAmelCase ,  _UpperCAmelCase	 =     dset.get_nearest_examples('vecs'				,	np.ones(5				,	dtype=np.floataa))
						self.assertEqual(examples['filename'][0]				,	'my_name-train_29')



			def 					_lowerCamelCase (		self     :						List[Any])     ->					Union[str, Any]:



						"""simple docstring"""






						import faiss

						_UpperCAmelCase	 =     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=A) as tmp_file:
									dset.save_faiss_index('vecs'				,	tmp_file.name)
									dset.load_faiss_index('vecs2'				,	tmp_file.name)
						os.unlink(tmp_file.name)

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



			def 					_lowerCamelCase (		self     :						List[str])     ->					Union[str, Any]:



						"""simple docstring"""






						_UpperCAmelCase	 =     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(A				,	partial(dset.get_nearest_examples				,	'vecs2'				,	np.ones(5				,	dtype=np.floataa)))



			def 					_lowerCamelCase (		self     :						Any)     ->					Any:



						"""simple docstring"""






						from elasticsearch import Elasticsearch

						_UpperCAmelCase	 =     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:
									_UpperCAmelCase	 =     {'acknowledged': True}
									mocked_bulk.return_value([(True, None)] * 30)
									_UpperCAmelCase	 =     {'hits': {'hits': [{'_score': 1, '_id': 29}]}}
									_UpperCAmelCase	 =     Elasticsearch()

									dset.add_elasticsearch_index('filename'				,	es_client=A)
									_UpperCAmelCase ,  _UpperCAmelCase	 =     dset.get_nearest_examples('filename'				,	'my_name-train_29')
									self.assertEqual(examples['filename'][0]				,	'my_name-train_29')







@require_faiss
class     __lowerCAmelCase					(    A		):



			def 					_lowerCamelCase (		self     :						Union[str, Any])     ->					Optional[Any]:



						"""simple docstring"""






						import faiss

						_UpperCAmelCase	 =     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
						_UpperCAmelCase	 =     np.zeros(5				,	dtype=np.floataa)
						_UpperCAmelCase	 =     1
						_UpperCAmelCase ,  _UpperCAmelCase	 =     index.search(A)
						self.assertRaises(A				,	index.search				,	query.reshape(-1				,	1))
						self.assertGreater(scores[0]				,	0)
						self.assertEqual(indices[0]				,	1)

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



			def 					_lowerCamelCase (		self     :						Dict)     ->					List[Any]:



						"""simple docstring"""






						import faiss

						_UpperCAmelCase	 =     FaissIndex(string_factory='Flat')
						index.add_vectors(np.eye(5				,	dtype=np.floataa))
						self.assertIsInstance(index.faiss_index				,	faiss.IndexFlat)
						_UpperCAmelCase	 =     FaissIndex(string_factory='LSH')
						index.add_vectors(np.eye(5				,	dtype=np.floataa))
						self.assertIsInstance(index.faiss_index				,	faiss.IndexLSH)
						with self.assertRaises(A):
									_UpperCAmelCase	 =     FaissIndex(string_factory='Flat'				,	custom_index=faiss.IndexFlat(5))



			def 					_lowerCamelCase (		self     :						Optional[int])     ->					Any:



						"""simple docstring"""






						import faiss

						_UpperCAmelCase	 =     faiss.IndexFlat(5)
						_UpperCAmelCase	 =     FaissIndex(custom_index=A)
						index.add_vectors(np.eye(5				,	dtype=np.floataa))
						self.assertIsInstance(index.faiss_index				,	faiss.IndexFlat)



			def 					_lowerCamelCase (		self     :						str)     ->					int:



						"""simple docstring"""






						import faiss

						_UpperCAmelCase	 =     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=A) as tmp_file:
									index.save(tmp_file.name)
									_UpperCAmelCase	 =     FaissIndex.load(tmp_file.name)
						os.unlink(tmp_file.name)

						_UpperCAmelCase	 =     np.zeros(5				,	dtype=np.floataa)
						_UpperCAmelCase	 =     1
						_UpperCAmelCase ,  _UpperCAmelCase	 =     index.search(A)
						self.assertGreater(scores[0]				,	0)
						self.assertEqual(indices[0]				,	1)





@require_faiss
def 							A			(  _UpperCAmelCase       :     Optional[Any]					)       ->				List[Any]:







			'''simple docstring'''
			import faiss

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

			_UpperCAmelCase	 =     'index.faiss'
			_UpperCAmelCase	 =     F"mock://{index_name}"
			index.save(_UpperCAmelCase							,     storage_options=mockfs.storage_options					)
			_UpperCAmelCase	 =     FaissIndex.load(_UpperCAmelCase							,     storage_options=mockfs.storage_options					)

			_UpperCAmelCase	 =     np.zeros(5							,     dtype=np.floataa					)
			_UpperCAmelCase	 =     1
			_UpperCAmelCase ,  _UpperCAmelCase	 =     index.search(_UpperCAmelCase					)
			assert scores[0] > 0
			assert indices[0] == 1







@require_elasticsearch
class     __lowerCAmelCase					(    A		):



			def 					_lowerCamelCase (		self     :						int)     ->					List[str]:



						"""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:
									_UpperCAmelCase	 =     Elasticsearch()
									_UpperCAmelCase	 =     {'acknowledged': True}
									_UpperCAmelCase	 =     ElasticSearchIndex(es_client=A)
									mocked_bulk.return_value([(True, None)] * 3)
									index.add_documents(['foo', 'bar', 'foobar'])

									# single query
									_UpperCAmelCase	 =     'foo'
									_UpperCAmelCase	 =     {'hits': {'hits': [{'_score': 1, '_id': 0}]}}
									_UpperCAmelCase ,  _UpperCAmelCase	 =     index.search(A)
									self.assertEqual(scores[0]				,	1)
									self.assertEqual(indices[0]				,	0)

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

									# batched queries
									_UpperCAmelCase	 =     ['foo', 'bar', 'foobar']
									_UpperCAmelCase	 =     {'hits': {'hits': [{'_score': 1, '_id': 1}]}}
									_UpperCAmelCase ,  _UpperCAmelCase	 =     index.search_batch(A)
									_UpperCAmelCase	 =     [scores[0] for scores in total_scores]
									_UpperCAmelCase	 =     [indices[0] for indices in total_indices]
									self.assertGreater(np.min(A)				,	0)
									self.assertListEqual([1, 1, 1]				,	A)

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





import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class     __lowerCAmelCase					(    A       ,		unittest.TestCase		):
			UpperCamelCase           =  MgpstrTokenizer
			UpperCamelCase           =  False
			UpperCamelCase           =  {}
			UpperCamelCase           =  False



			def 					_lowerCamelCase (		self     :						int)     ->					List[Any]:



						"""simple docstring"""






						super().setUp()

						# fmt: off
						_UpperCAmelCase	 =     ['[GO]', '[s]', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
						# fmt: on
						_UpperCAmelCase	 =     dict(zip(A				,	range(len(A))))

						_UpperCAmelCase	 =     os.path.join(self.tmpdirname				,	VOCAB_FILES_NAMES['vocab_file'])
						with open(self.vocab_file				,	'w'				,	encoding='utf-8') as fp:
									fp.write(json.dumps(A) + '\n')



			def 					_lowerCamelCase (		self     :						Dict				,	**A     :						List[Any])     ->					Optional[Any]:



						"""simple docstring"""






						return MgpstrTokenizer.from_pretrained(self.tmpdirname				,	**A)



			def 					_lowerCamelCase (		self     :						List[str]				,	A     :						Optional[int])     ->					Dict:



						"""simple docstring"""






						_UpperCAmelCase	 =     'tester'
						_UpperCAmelCase	 =     'tester'
						return input_text, output_text



			@unittest.skip('MGP-STR always lower cases letters.')
			def 					_lowerCamelCase (		self     :						Optional[Any])     ->					int:



						"""simple docstring"""






						pass



			def 					_lowerCamelCase (		self     :						Optional[int])     ->					Optional[int]:



						"""simple docstring"""






						_UpperCAmelCase	 =     self.get_tokenizers(do_lower_case=A)
						for tokenizer in tokenizers:
									with self.subTest(F"{tokenizer.__class__.__name__}"):
												_UpperCAmelCase	 =     '[SPECIAL_TOKEN]'

												tokenizer.add_special_tokens({'cls_token': special_token})
												_UpperCAmelCase	 =     tokenizer.encode([special_token]				,	add_special_tokens=A)
												self.assertEqual(len(A)				,	1)

												_UpperCAmelCase	 =     tokenizer.decode(A				,	skip_special_tokens=A)
												self.assertTrue(special_token not in decoded)



			def 					_lowerCamelCase (		self     :						Any)     ->					str:



						"""simple docstring"""






						_UpperCAmelCase	 =     self.get_tokenizers()
						for tokenizer in tokenizers:
									with self.subTest(F"{tokenizer.__class__.__name__}"):
												_UpperCAmelCase ,  _UpperCAmelCase	 =     self.get_input_output_texts(A)

												_UpperCAmelCase	 =     tokenizer.tokenize(A)
												_UpperCAmelCase	 =     tokenizer.convert_tokens_to_ids(A)
												_UpperCAmelCase	 =     tokenizer.encode(A				,	add_special_tokens=A)
												self.assertListEqual(A				,	A)

												_UpperCAmelCase	 =     tokenizer.convert_ids_to_tokens(A)
												self.assertNotEqual(len(A)				,	0)
												_UpperCAmelCase	 =     tokenizer.decode(A)
												self.assertIsInstance(A				,	A)

												self.assertEqual(text_a.replace(' '				,	'')				,	A)



			@unittest.skip('MGP-STR tokenizer only handles one sequence.')
			def 					_lowerCamelCase (		self     :						str)     ->					List[str]:



						"""simple docstring"""






						pass



			@unittest.skip('inputs cannot be pretokenized in MgpstrTokenizer')
			def 					_lowerCamelCase (		self     :						Dict)     ->					Tuple:



						"""simple docstring"""






						pass
