





'''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 : Optional[Any]											=			pytest.mark.integration

@require_faiss
class       UpperCAmelCase (						_lowercase  ):




		def 				UpperCAmelCase__   (self      :	Union[str, Any]				)					-> Tuple:
						lowercase         = Dataset.from_dict({"filename": ["my_name-train" + "_" + str(A__				) for x in np.arange(3_0				).tolist()]}				)
						return dset




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

						lowercase         = self._create_dummy_dataset()
						lowercase         = dset.map(
						    lambda A__							,			A__				: {"vecs": i * np.ones(5							,			dtype=np.floataa				)}							,			with_indices=A__							,			keep_in_memory=A__				)
						lowercase         = dset.add_faiss_index("vecs"							,			batch_size=1_0_0							,			metric_type=faiss.METRIC_INNER_PRODUCT				)
						lowercase   ,							lowercase         = 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      :	Optional[int]				)					-> Any:
						import faiss

						lowercase         = self._create_dummy_dataset()
						dset.add_faiss_index_from_external_arrays(
						    external_arrays=np.ones((3_0, 5)				) * np.arange(3_0				).reshape(-1							,			1				)							,			index_name="vecs"							,			batch_size=1_0_0							,			metric_type=faiss.METRIC_INNER_PRODUCT							,			)
						lowercase   ,							lowercase         = dset.get_nearest_examples("vecs"							,			np.ones(5							,			dtype=np.floataa				)				)
						self.assertEqual(examples["filename"][0]							,			"my_name-train_29"				)




		def 				UpperCAmelCase__   (self      :	Tuple				)					-> Dict:
						import faiss

						lowercase         = self._create_dummy_dataset()
						dset.add_faiss_index_from_external_arrays(
						    external_arrays=np.ones((3_0, 5)				) * np.arange(3_0				).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				)

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




		def 				UpperCAmelCase__   (self      :	Any				)					-> int:
						lowercase         = self._create_dummy_dataset()
						dset.add_faiss_index_from_external_arrays(
						    external_arrays=np.ones((3_0, 5)				) * np.arange(3_0				).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 				UpperCAmelCase__   (self      :	Optional[Any]				)					-> Dict:
						from elasticsearch import Elasticsearch

						lowercase         = 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:
										lowercase         = {"acknowledged": True}
										mocked_bulk.return_value([(True, None)] * 3_0				)
										lowercase         = {"hits": {"hits": [{"_score": 1, "_id": 2_9}]}}
										lowercase         = Elasticsearch()

										dset.add_elasticsearch_index("filename"							,			es_client=A__				)
										lowercase   ,							lowercase         = dset.get_nearest_examples("filename"							,			"my_name-train_29"				)
										self.assertEqual(examples["filename"][0]							,			"my_name-train_29"				)




@require_faiss
class       UpperCAmelCase (						_lowercase  ):




		def 				UpperCAmelCase__   (self      :	Optional[Any]				)					-> Tuple:
						import faiss

						lowercase         = 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							,			1_0				)

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

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




		def 				UpperCAmelCase__   (self      :	Tuple				)					-> Optional[Any]:
						import faiss

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




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

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





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

						lowercase         = 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				)
										lowercase         = FaissIndex.load(tmp_file.name				)
						os.unlink(tmp_file.name				)

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







@require_faiss
def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				import faiss

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

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

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


@require_elasticsearch
class       UpperCAmelCase (						_lowercase  ):




		def 				UpperCAmelCase__   (self      :	Dict				)					-> Union[str, Any]:
						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:
										lowercase         = Elasticsearch()
										lowercase         = {"acknowledged": True}
										lowercase         = ElasticSearchIndex(es_client=A__				)
										mocked_bulk.return_value([(True, None)] * 3				)
										index.add_documents(["foo", "bar", "foobar"]				)

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

										# single query with timeout
										lowercase         = "foo"
										lowercase         = {"hits": {"hits": [{"_score": 1, "_id": 0}]}}
										lowercase   ,							lowercase         = index.search(A__							,			request_timeout=3_0				)
										self.assertEqual(scores[0]							,			1				)
										self.assertEqual(indices[0]							,			0				)

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

										# batched queries with timeout
										lowercase         = ["foo", "bar", "foobar"]
										lowercase         = {"hits": {"hits": [{"_score": 1, "_id": 1}]}}
										lowercase   ,							lowercase         = index.search_batch(A__							,			request_timeout=3_0				)
										lowercase         = [scores[0] for scores in total_scores]
										lowercase         = [indices[0] for indices in total_indices]
										self.assertGreater(np.min(A__				)							,			0				)
										self.assertListEqual([1, 1, 1]							,			A__				)











'''simple docstring'''

import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_torch_available, is_vision_available


if is_torch_available():
			import torch


if is_vision_available():
			from PIL import Image

			from transformers import MgpstrProcessor, ViTImageProcessor

@require_torch
@require_vision
class       UpperCAmelCase (						unittest.TestCase  ):
		UpperCAmelCase					:	Optional[int] 			=		ViTImageProcessor if is_vision_available() else None




		@property
		def 				UpperCAmelCase__   (self      :	Optional[int]				)					-> Optional[Any]:
						return self.image_processor_tester.prepare_image_processor_dict()




		def 				UpperCAmelCase__   (self      :	str				)					-> int:
						lowercase         = (3, 3_2, 1_2_8)
						lowercase         = tempfile.mkdtemp()

						# fmt: off
						lowercase         = ["[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
						lowercase         = dict(zip(A__							,			range(len(A__				)				)				)				)

						lowercase         = 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"				)

						lowercase         = {
						    "do_normalize": False,
						    "do_resize": True,
						    "image_processor_type": "ViTImageProcessor",
						    "resample": 3,
						    "size": {"height": 3_2, "width": 1_2_8},
						}
						lowercase         = os.path.join(self.tmpdirname							,			A__				)
						with open(self.image_processor_file							,			"w"							,			encoding="utf-8"				) as fp:
										json.dump(A__							,			A__				)




		def 				UpperCAmelCase__   (self      :	Dict							,			**A__      :	List[Any]				)					-> Union[str, Any]:
						return MgpstrTokenizer.from_pretrained(self.tmpdirname							,			**A__				)




		def 				UpperCAmelCase__   (self      :	Any							,			**A__      :	Tuple				)					-> Tuple:
						return ViTImageProcessor.from_pretrained(self.tmpdirname							,			**A__				)




		def 				UpperCAmelCase__   (self      :	Optional[int]				)					-> int:
						shutil.rmtree(self.tmpdirname				)




		def 				UpperCAmelCase__   (self      :	str				)					-> List[str]:
						lowercase         = np.random.randint(2_5_5							,			size=(3, 3_0, 4_0_0)							,			dtype=np.uinta				)

						lowercase         = Image.fromarray(np.moveaxis(A__							,			0							,			-1				)				)

						return image_input




		def 				UpperCAmelCase__   (self      :	str				)					-> List[Any]:
						lowercase         = self.get_tokenizer()
						lowercase         = self.get_image_processor()

						lowercase         = MgpstrProcessor(tokenizer=A__							,			image_processor=A__				)
						processor.save_pretrained(self.tmpdirname				)
						lowercase         = MgpstrProcessor.from_pretrained(self.tmpdirname							,			use_fast=A__				)

						self.assertEqual(processor.char_tokenizer.get_vocab()							,			tokenizer.get_vocab()				)
						self.assertIsInstance(processor.char_tokenizer							,			A__				)

						self.assertEqual(processor.image_processor.to_json_string()							,			image_processor.to_json_string()				)
						self.assertIsInstance(processor.image_processor							,			A__				)




		def 				UpperCAmelCase__   (self      :	Any				)					-> Optional[int]:
						lowercase         = self.get_tokenizer()
						lowercase         = self.get_image_processor()

						lowercase         = MgpstrProcessor(tokenizer=A__							,			image_processor=A__				)
						processor.save_pretrained(self.tmpdirname				)

						lowercase         = self.get_tokenizer(bos_token="(BOS)"							,			eos_token="(EOS)"				)
						lowercase         = self.get_image_processor(do_normalize=A__							,			padding_value=1.0				)

						lowercase         = MgpstrProcessor.from_pretrained(
						    self.tmpdirname							,			bos_token="(BOS)"							,			eos_token="(EOS)"							,			do_normalize=A__							,			padding_value=1.0				)

						self.assertEqual(processor.char_tokenizer.get_vocab()							,			tokenizer_add_kwargs.get_vocab()				)
						self.assertIsInstance(processor.char_tokenizer							,			A__				)

						self.assertEqual(processor.image_processor.to_json_string()							,			image_processor_add_kwargs.to_json_string()				)
						self.assertIsInstance(processor.image_processor							,			A__				)




		def 				UpperCAmelCase__   (self      :	List[Any]				)					-> List[Any]:
						lowercase         = self.get_image_processor()
						lowercase         = self.get_tokenizer()

						lowercase         = MgpstrProcessor(tokenizer=A__							,			image_processor=A__				)

						lowercase         = self.prepare_image_inputs()

						lowercase         = image_processor(A__							,			return_tensors="np"				)
						lowercase         = processor(images=A__							,			return_tensors="np"				)

						for key in input_image_proc.keys():
										self.assertAlmostEqual(input_image_proc[key].sum()							,			input_processor[key].sum()							,			delta=1e-2				)




		def 				UpperCAmelCase__   (self      :	List[Any]				)					-> Union[str, Any]:
						lowercase         = self.get_image_processor()
						lowercase         = self.get_tokenizer()

						lowercase         = MgpstrProcessor(tokenizer=A__							,			image_processor=A__				)

						lowercase         = "test"

						lowercase         = processor(text=A__				)

						lowercase         = tokenizer(A__				)
						for key in encoded_tok.keys():
										self.assertListEqual(encoded_tok[key]							,			encoded_processor[key]				)




		def 				UpperCAmelCase__   (self      :	int				)					-> Optional[int]:
						lowercase         = self.get_image_processor()
						lowercase         = self.get_tokenizer()

						lowercase         = MgpstrProcessor(tokenizer=A__							,			image_processor=A__				)

						lowercase         = "test"
						lowercase         = self.prepare_image_inputs()

						lowercase         = processor(text=A__							,			images=A__				)

						self.assertListEqual(list(inputs.keys()				)							,			["pixel_values", "labels"]				)

						# test if it raises when no input is passed
						with pytest.raises(A__				):
										processor()




		def 				UpperCAmelCase__   (self      :	List[Any]				)					-> Union[str, Any]:
						lowercase         = self.get_image_processor()
						lowercase         = self.get_tokenizer()

						lowercase         = MgpstrProcessor(tokenizer=A__							,			image_processor=A__				)

						lowercase         = [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9], [3, 4, 3, 1, 1, 8, 9]]

						lowercase         = processor.char_decode(A__				)
						lowercase         = tokenizer.batch_decode(A__				)
						lowercase         = [seq.replace(" "							,			""				) for seq in decoded_tok]

						self.assertListEqual(A__							,			A__				)




		def 				UpperCAmelCase__   (self      :	Any				)					-> Optional[int]:
						lowercase         = self.get_image_processor()
						lowercase         = self.get_tokenizer()

						lowercase         = MgpstrProcessor(tokenizer=A__							,			image_processor=A__				)

						lowercase         = None
						lowercase         = self.prepare_image_inputs()

						lowercase         = processor(text=A__							,			images=A__				)

						self.assertListEqual(list(inputs.keys()				)							,			processor.model_input_names				)





		def 				UpperCAmelCase__   (self      :	int				)					-> Optional[Any]:
						lowercase         = self.get_image_processor()
						lowercase         = self.get_tokenizer()

						lowercase         = MgpstrProcessor(tokenizer=A__							,			image_processor=A__				)

						lowercase         = torch.randn(1							,			2_7							,			3_8				)
						lowercase         = torch.randn(1							,			2_7							,			5_0_2_5_7				)
						lowercase         = torch.randn(1							,			2_7							,			3_0_5_2_2				)

						lowercase         = processor.batch_decode([char_input, bpe_input, wp_input]				)

						self.assertListEqual(list(results.keys()				)							,			["generated_text", "scores", "char_preds", "bpe_preds", "wp_preds"]				)




