


"""simple docstring"""


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 OwlViTImageProcessor, OwlViTProcessor
@require_vision
class   _UpperCamelCase  (   unittest.TestCase		):
							'''simple docstring'''







							def 			snake_case				(     self	):
										__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(UpperCAmelCase__    ,   range(len(UpperCAmelCase__	)	)	)	)
										__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(UpperCAmelCase__	) + "\n"	)
										with open(self.merges_file    ,   "w"    ,   encoding="utf-8"	) as fp:
													fp.write("\n".join(UpperCAmelCase__	)	)

										__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    ,   UpperCAmelCase__	)
										with open(self.image_processor_file    ,   "w"    ,   encoding="utf-8"	) as fp:
													json.dump(UpperCAmelCase__    ,   UpperCAmelCase__	)

							def 			snake_case				(     self    ,   **__a	):
										return CLIPTokenizer.from_pretrained(self.tmpdirname    ,   pad_token="!"    ,   **UpperCAmelCase__	)

							def 			snake_case				(     self    ,   **__a	):
										return CLIPTokenizerFast.from_pretrained(self.tmpdirname    ,   pad_token="!"    ,   **UpperCAmelCase__	)

							def 			snake_case				(     self    ,   **__a	):
										return OwlViTImageProcessor.from_pretrained(self.tmpdirname    ,   **UpperCAmelCase__	)

							def 			snake_case				(     self	):
										shutil.rmtree(self.tmpdirname	)

							def 			snake_case				(     self	):
										__lowerCAmelCase				    =			[np.random.randint(2_55    ,   size=(3, 30, 4_00)    ,   dtype=np.uinta	)]

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

										return image_inputs

							def 			snake_case				(     self	):
										__lowerCAmelCase				    =			self.get_tokenizer()
										__lowerCAmelCase				    =			self.get_rust_tokenizer()
										__lowerCAmelCase				    =			self.get_image_processor()

										__lowerCAmelCase				    =			OwlViTProcessor(tokenizer=UpperCAmelCase__    ,   image_processor=UpperCAmelCase__	)
										processor_slow.save_pretrained(self.tmpdirname	)
										__lowerCAmelCase				    =			OwlViTProcessor.from_pretrained(self.tmpdirname    ,   use_fast=UpperCAmelCase__	)

										__lowerCAmelCase				    =			OwlViTProcessor(tokenizer=UpperCAmelCase__    ,   image_processor=UpperCAmelCase__	)
										processor_fast.save_pretrained(self.tmpdirname	)
										__lowerCAmelCase				    =			OwlViTProcessor.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    ,   UpperCAmelCase__	)
										self.assertIsInstance(processor_fast.tokenizer    ,   UpperCAmelCase__	)

										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    ,   UpperCAmelCase__	)
										self.assertIsInstance(processor_fast.image_processor    ,   UpperCAmelCase__	)

							def 			snake_case				(     self	):
										__lowerCAmelCase				    =			OwlViTProcessor(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=UpperCAmelCase__	)

										__lowerCAmelCase				    =			OwlViTProcessor.from_pretrained(
										    self.tmpdirname    ,   bos_token="(BOS)"    ,   eos_token="(EOS)"    ,   do_normalize=UpperCAmelCase__	)

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

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

							def 			snake_case				(     self	):
										__lowerCAmelCase				    =			self.get_image_processor()
										__lowerCAmelCase				    =			self.get_tokenizer()

										__lowerCAmelCase				    =			OwlViTProcessor(tokenizer=UpperCAmelCase__    ,   image_processor=UpperCAmelCase__	)

										__lowerCAmelCase				    =			self.prepare_image_inputs()

										__lowerCAmelCase				    =			image_processor(UpperCAmelCase__    ,   return_tensors="np"	)
										__lowerCAmelCase				    =			processor(images=UpperCAmelCase__    ,   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 			snake_case				(     self	):
										__lowerCAmelCase				    =			self.get_image_processor()
										__lowerCAmelCase				    =			self.get_tokenizer()

										__lowerCAmelCase				    =			OwlViTProcessor(tokenizer=UpperCAmelCase__    ,   image_processor=UpperCAmelCase__	)

										__lowerCAmelCase				    =			"lower newer"

										__lowerCAmelCase				    =			processor(text=UpperCAmelCase__    ,   return_tensors="np"	)

										__lowerCAmelCase				    =			tokenizer(UpperCAmelCase__    ,   return_tensors="np"	)

										for key in encoded_tok.keys():
													self.assertListEqual(encoded_tok[key][0].tolist()    ,   encoded_processor[key][0].tolist()	)

							def 			snake_case				(     self	):
										__lowerCAmelCase				    =			self.get_image_processor()
										__lowerCAmelCase				    =			self.get_tokenizer()

										__lowerCAmelCase				    =			OwlViTProcessor(tokenizer=UpperCAmelCase__    ,   image_processor=UpperCAmelCase__	)

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

										__lowerCAmelCase				    =			processor(text=UpperCAmelCase__    ,   images=UpperCAmelCase__	)

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

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

							def 			snake_case				(     self	):
										__lowerCAmelCase				    =			"google/owlvit-base-patch32"
										__lowerCAmelCase				    =			OwlViTProcessor.from_pretrained(UpperCAmelCase__	)

										__lowerCAmelCase				    =			["cat", "nasa badge"]
										__lowerCAmelCase				    =			processor(text=UpperCAmelCase__	)

										__lowerCAmelCase				    =			16
										self.assertListEqual(list(inputs.keys()	)    ,   ["input_ids", "attention_mask"]	)
										self.assertEqual(inputs["input_ids"].shape    ,   (2, seq_length)	)

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

							def 			snake_case				(     self	):
										__lowerCAmelCase				    =			"google/owlvit-base-patch32"
										__lowerCAmelCase				    =			OwlViTProcessor.from_pretrained(UpperCAmelCase__	)

										__lowerCAmelCase				    =			[["cat", "nasa badge"], ["person"]]
										__lowerCAmelCase				    =			processor(text=UpperCAmelCase__	)

										__lowerCAmelCase				    =			16
										__lowerCAmelCase				    =			len(UpperCAmelCase__	)
										__lowerCAmelCase				    =			max([len(UpperCAmelCase__	) for texts in input_texts]	)

										self.assertListEqual(list(inputs.keys()	)    ,   ["input_ids", "attention_mask"]	)
										self.assertEqual(inputs["input_ids"].shape    ,   (batch_size * num_max_text_queries, seq_length)	)

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

							def 			snake_case				(     self	):
										__lowerCAmelCase				    =			"google/owlvit-base-patch32"
										__lowerCAmelCase				    =			OwlViTProcessor.from_pretrained(UpperCAmelCase__	)

										__lowerCAmelCase				    =			["cat", "nasa badge"]
										__lowerCAmelCase				    =			processor(text=UpperCAmelCase__	)

										__lowerCAmelCase				    =			16
										__lowerCAmelCase				    =			inputs["input_ids"]
										__lowerCAmelCase				    =			[
										    [4_94_06, 23_68, 4_94_07, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
										    [4_94_06, 68_41, 1_13_01, 4_94_07, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
										]

										self.assertListEqual(list(inputs.keys()	)    ,   ["input_ids", "attention_mask"]	)
										self.assertEqual(inputs["input_ids"].shape    ,   (2, seq_length)	)
										self.assertListEqual(list(input_ids[0]	)    ,   predicted_ids[0]	)
										self.assertListEqual(list(input_ids[1]	)    ,   predicted_ids[1]	)

							def 			snake_case				(     self	):
										__lowerCAmelCase				    =			self.get_image_processor()
										__lowerCAmelCase				    =			self.get_tokenizer()

										__lowerCAmelCase				    =			OwlViTProcessor(tokenizer=UpperCAmelCase__    ,   image_processor=UpperCAmelCase__	)

										__lowerCAmelCase				    =			self.prepare_image_inputs()
										__lowerCAmelCase				    =			self.prepare_image_inputs()

										__lowerCAmelCase				    =			processor(images=UpperCAmelCase__    ,   query_images=UpperCAmelCase__	)

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

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



							def 			snake_case				(     self	):
										__lowerCAmelCase				    =			self.get_image_processor()
										__lowerCAmelCase				    =			self.get_tokenizer()

										__lowerCAmelCase				    =			OwlViTProcessor(tokenizer=UpperCAmelCase__    ,   image_processor=UpperCAmelCase__	)

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

										__lowerCAmelCase				    =			processor.batch_decode(UpperCAmelCase__	)
										__lowerCAmelCase				    =			tokenizer.batch_decode(UpperCAmelCase__	)

										self.assertListEqual(UpperCAmelCase__    ,   UpperCAmelCase__	)








'''simple docstring'''




from typing import List, Optional

from tokenizers import ByteLevelBPETokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer


__snake_case    						=logging.get_logger(__name__)

__snake_case    						={
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

__snake_case    						={
    """vocab_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"""
    },
    """merges_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"""
    },
    """tokenizer_config_file""": {
        """facebook/blenderbot_small-90M""": (
            """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"""
        )
    },
}

__snake_case    						={
    """facebook/blenderbot_small-90M""": 512,
}

class 		UpperCAmelCase_      (  __lowercase		):
     lowerCamelCase				:	Tuple		=     VOCAB_FILES_NAMES
     lowerCamelCase				:	Optional[int]		=     PRETRAINED_VOCAB_FILES_MAP
     lowerCamelCase				:	Union[str, Any]		=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowerCamelCase				:	Optional[Any]		=     BlenderbotSmallTokenizer





     def __init__( self       :      Any    ,      UpperCAmelCase__       :      Union[str, Any]=None    ,      UpperCAmelCase__       :      Dict=None    ,      UpperCAmelCase__       :      int="<|endoftext|>"    ,      UpperCAmelCase__       :      Dict="<|endoftext|>"    ,      UpperCAmelCase__       :      str="<|endoftext|>"    ,      UpperCAmelCase__       :      str=False    ,      UpperCAmelCase__       :      Tuple=True    ,      **UpperCAmelCase__       :      Optional[Any]    ,      )				->  Any:
        super().__init__(
            ByteLevelBPETokenizer(
                vocab=UpperCAmelCase__    ,      merges=UpperCAmelCase__    ,      add_prefix_space=UpperCAmelCase__    ,      trim_offsets=UpperCAmelCase__    ,      )    ,      bos_token=UpperCAmelCase__    ,      eos_token=UpperCAmelCase__    ,      unk_token=UpperCAmelCase__    ,      **UpperCAmelCase__    ,      )
        lowerCAmelCase     =			add_prefix_space





     def 							__UpperCAmelCase      ( self       :      List[Any]    ,      UpperCAmelCase__       :      Union[str, Any]    ,      UpperCAmelCase__       :      Dict=None    )				->  Any:
        lowerCAmelCase     =			[self.bos_token_id] + token_ids_a + [self.eos_token_id]
        if token_ids_a is None:
           return output

        return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]





     def 							__UpperCAmelCase      ( self       :      Any    ,      UpperCAmelCase__       :      List[int]    ,      UpperCAmelCase__       :      Optional[List[int]] = None    )				->  List[int]:
        lowerCAmelCase     =			[self.sep_token_id]
        lowerCAmelCase     =			[self.cls_token_id]

        if token_ids_a is None:
           return len(cls + token_ids_a + sep    ) * [0]
        return len(cls + token_ids_a + sep + sep + token_ids_a + sep    ) * [0]





