
import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_vision_available


if is_vision_available():
			from PIL import Image

			from transformers import CLIPImageProcessor, CLIPProcessor




@require_vision
class     _SCREAMING_SNAKE_CASE     (      unittest.TestCase						):



	def     SCREAMING_SNAKE_CASE_(    self )				->       Tuple:
					lowerCamelCase_						=			tempfile.mkdtemp()

					# fmt: off
					lowerCamelCase_						=			["l", "o", "w", "e", "r", "s", "t", "i", "d", "n", "lo", "l</w>", "w</w>", "r</w>", "t</w>", "low</w>", "er</w>", "lowest</w>", "newer</w>", "wider", "<unk>", "<|startoftext|>", "<|endoftext|>"]
					# fmt: on
					lowerCamelCase_						=			dict(zip(lowercase						,  range(len(lowercase ) ) ) )
					lowerCamelCase_						=			["#version: 0.2", "l o", "lo w</w>", "e r</w>", ""]
					lowerCamelCase_						=			{"unk_token": "<unk>"}

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

					lowerCamelCase_						=			{
					    "do_resize": True,
					    "size": 20,
					    "do_center_crop": True,
					    "crop_size": 18,
					    "do_normalize": True,
					    "image_mean": [0.4_8_1_4_5_4_6_6, 0.4_5_7_8_2_7_5, 0.4_0_8_2_1_0_7_3],
					    "image_std": [0.2_6_8_6_2_9_5_4, 0.2_6_1_3_0_2_5_8, 0.2_7_5_7_7_7_1_1],
					}
					lowerCamelCase_						=			os.path.join(self.tmpdirname						,  lowercase )
					with open(self.image_processor_file						,  "w"						,  encoding="utf-8" ) as fp:
									json.dump(lowercase						,  lowercase )



	def     SCREAMING_SNAKE_CASE_(    self						,  **lowercase )				->       Optional[int]:
					return CLIPTokenizer.from_pretrained(self.tmpdirname						,  **lowercase )



	def     SCREAMING_SNAKE_CASE_(    self						,  **lowercase )				->       List[str]:
					return CLIPTokenizerFast.from_pretrained(self.tmpdirname						,  **lowercase )



	def     SCREAMING_SNAKE_CASE_(    self						,  **lowercase )				->       Union[str, Any]:
					return CLIPImageProcessor.from_pretrained(self.tmpdirname						,  **lowercase )



	def     SCREAMING_SNAKE_CASE_(    self )				->       Any:
					shutil.rmtree(self.tmpdirname )



	def     SCREAMING_SNAKE_CASE_(    self )				->       Tuple:
					lowerCamelCase_						=			[np.random.randint(255						,  size=(3, 30, 400)						,  dtype=np.uinta )]

					lowerCamelCase_						=			[Image.fromarray(np.moveaxis(lowercase						,  0						,  -1 ) ) for x in image_inputs]

					return image_inputs



	def     SCREAMING_SNAKE_CASE_(    self )				->       Optional[int]:
					lowerCamelCase_						=			self.get_tokenizer()
					lowerCamelCase_						=			self.get_rust_tokenizer()
					lowerCamelCase_						=			self.get_image_processor()

					lowerCamelCase_						=			CLIPProcessor(tokenizer=lowercase						,  image_processor=lowercase )
					processor_slow.save_pretrained(self.tmpdirname )
					lowerCamelCase_						=			CLIPProcessor.from_pretrained(self.tmpdirname						,  use_fast=lowercase )

					lowerCamelCase_						=			CLIPProcessor(tokenizer=lowercase						,  image_processor=lowercase )
					processor_fast.save_pretrained(self.tmpdirname )
					lowerCamelCase_						=			CLIPProcessor.from_pretrained(self.tmpdirname )

					self.assertEqual(processor_slow.tokenizer.get_vocab()						,  tokenizer_slow.get_vocab() )
					self.assertEqual(processor_fast.tokenizer.get_vocab()						,  tokenizer_fast.get_vocab() )
					self.assertEqual(tokenizer_slow.get_vocab()						,  tokenizer_fast.get_vocab() )
					self.assertIsInstance(processor_slow.tokenizer						,  lowercase )
					self.assertIsInstance(processor_fast.tokenizer						,  lowercase )

					self.assertEqual(processor_slow.image_processor.to_json_string()						,  image_processor.to_json_string() )
					self.assertEqual(processor_fast.image_processor.to_json_string()						,  image_processor.to_json_string() )
					self.assertIsInstance(processor_slow.image_processor						,  lowercase )
					self.assertIsInstance(processor_fast.image_processor						,  lowercase )



	def     SCREAMING_SNAKE_CASE_(    self )				->       Union[str, Any]:
					lowerCamelCase_						=			CLIPProcessor(tokenizer=self.get_tokenizer()						,  image_processor=self.get_image_processor() )
					processor.save_pretrained(self.tmpdirname )

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

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

					self.assertEqual(processor.tokenizer.get_vocab()						,  tokenizer_add_kwargs.get_vocab() )
					self.assertIsInstance(processor.tokenizer						,  lowercase )

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



	def     SCREAMING_SNAKE_CASE_(    self )				->       Tuple:
					lowerCamelCase_						=			self.get_image_processor()
					lowerCamelCase_						=			self.get_tokenizer()

					lowerCamelCase_						=			CLIPProcessor(tokenizer=lowercase						,  image_processor=lowercase )

					lowerCamelCase_						=			self.prepare_image_inputs()

					lowerCamelCase_						=			image_processor(lowercase						,  return_tensors="np" )
					lowerCamelCase_						=			processor(images=lowercase						,  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     SCREAMING_SNAKE_CASE_(    self )				->       Optional[int]:
					lowerCamelCase_						=			self.get_image_processor()
					lowerCamelCase_						=			self.get_tokenizer()

					lowerCamelCase_						=			CLIPProcessor(tokenizer=lowercase						,  image_processor=lowercase )

					lowerCamelCase_						=			"lower newer"

					lowerCamelCase_						=			processor(text=lowercase )

					lowerCamelCase_						=			tokenizer(lowercase )

					for key in encoded_tok.keys():
									self.assertListEqual(encoded_tok[key]						,  encoded_processor[key] )



	def     SCREAMING_SNAKE_CASE_(    self )				->       Optional[int]:
					lowerCamelCase_						=			self.get_image_processor()
					lowerCamelCase_						=			self.get_tokenizer()

					lowerCamelCase_						=			CLIPProcessor(tokenizer=lowercase						,  image_processor=lowercase )

					lowerCamelCase_						=			"lower newer"
					lowerCamelCase_						=			self.prepare_image_inputs()

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

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

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



	def     SCREAMING_SNAKE_CASE_(    self )				->       Tuple:
					lowerCamelCase_						=			self.get_image_processor()
					lowerCamelCase_						=			self.get_tokenizer()

					lowerCamelCase_						=			CLIPProcessor(tokenizer=lowercase						,  image_processor=lowercase )

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

					lowerCamelCase_						=			processor.batch_decode(lowercase )
					lowerCamelCase_						=			tokenizer.batch_decode(lowercase )

					self.assertListEqual(lowercase						,  lowercase )



	def     SCREAMING_SNAKE_CASE_(    self )				->       str:
					lowerCamelCase_						=			self.get_image_processor()
					lowerCamelCase_						=			self.get_tokenizer()

					lowerCamelCase_						=			CLIPProcessor(tokenizer=lowercase						,  image_processor=lowercase )

					lowerCamelCase_						=			"lower newer"
					lowerCamelCase_						=			self.prepare_image_inputs()

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

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




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     _SCREAMING_SNAKE_CASE     (      snake_case_						):



	def     SCREAMING_SNAKE_CASE_(    self )				->       List[str]:
					lowerCamelCase_						=			Dataset.from_dict({"filename": ["my_name-train" + "_" + str(lowercase ) for x in np.arange(30 ).tolist()]} )
					return dset



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

					lowerCamelCase_						=			self._create_dummy_dataset()
					lowerCamelCase_						=			dset.map(
					    lambda lowercase						,  lowercase : {"vecs": i * np.ones(5						,  dtype=np.floataa )}						,  with_indices=lowercase						,  keep_in_memory=lowercase )
					lowerCamelCase_						=			dset.add_faiss_index("vecs"						,  batch_size=100						,  metric_type=faiss.METRIC_INNER_PRODUCT )
					lowerCamelCase_	,    lowerCamelCase_						=			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     SCREAMING_SNAKE_CASE_(    self )				->       Dict:
					import faiss

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



	def     SCREAMING_SNAKE_CASE_(    self )				->       Optional[int]:
					import faiss

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



	def     SCREAMING_SNAKE_CASE_(    self )				->       Union[str, Any]:
					lowerCamelCase_						=			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(lowercase						,  partial(dset.get_nearest_examples						,  "vecs2"						,  np.ones(5						,  dtype=np.floataa ) ) )



	def     SCREAMING_SNAKE_CASE_(    self )				->       Optional[int]:
					from elasticsearch import Elasticsearch

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

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




@require_faiss
class     _SCREAMING_SNAKE_CASE     (      snake_case_						):



	def     SCREAMING_SNAKE_CASE_(    self )				->       Tuple:
					import faiss

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

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



	def     SCREAMING_SNAKE_CASE_(    self )				->       Any:
					import faiss

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



	def     SCREAMING_SNAKE_CASE_(    self )				->       Optional[int]:
					import faiss

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



	def     SCREAMING_SNAKE_CASE_(    self )				->       List[str]:
					import faiss

					lowerCamelCase_						=			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=lowercase ) as tmp_file:
									index.save(tmp_file.name )
									lowerCamelCase_						=			FaissIndex.load(tmp_file.name )
					os.unlink(tmp_file.name )

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





@require_faiss
def 			lowerCamelCase_ (				lowerCamelCase__    ):
				import faiss

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

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

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





@require_elasticsearch
class     _SCREAMING_SNAKE_CASE     (      snake_case_						):



	def     SCREAMING_SNAKE_CASE_(    self )				->       Optional[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:
									lowerCamelCase_						=			Elasticsearch()
									lowerCamelCase_						=			{"acknowledged": True}
									lowerCamelCase_						=			ElasticSearchIndex(es_client=lowercase )
									mocked_bulk.return_value([(True, None)] * 3 )
									index.add_documents(["foo", "bar", "foobar"] )

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

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

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

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


