

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 						__UpperCamelCase    (					unittest.TestCase						):




	def       __A					(		self	:						Optional[int]							):


		'''simple docstring'''







		UpperCAmelCase_       				=			tempfile.mkdtemp()

		# fmt: off
		UpperCAmelCase_       				=			["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
		UpperCAmelCase_       				=			dict(zip(lowerCAmelCase		,	range(len(lowerCAmelCase							)							)							)							)
		UpperCAmelCase_       				=			["#version: 0.2", "l o", "lo w</w>", "e r</w>", ""]
		UpperCAmelCase_       				=			{"unk_token": "<unk>"}

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

		UpperCAmelCase_       				=			{
		    "do_resize": True,
		    "size": 20,
		    "do_center_crop": True,
		    "crop_size": 18,
		    "do_normalize": True,
		    "image_mean": [0.48_145_466, 0.4_578_275, 0.40_821_073],
		    "image_std": [0.26_862_954, 0.26_130_258, 0.27_577_711],
		}
		UpperCAmelCase_       				=			os.path.join(self.tmpdirname		,	lowerCAmelCase							)
		with open(self.image_processor_file		,	"w"		,	encoding="utf-8"							) as fp:
			json.dump(lowerCAmelCase		,	lowerCAmelCase							)




	def       __A					(		self	:						Optional[Any]		,	**lowerCAmelCase	:						Any							):


		'''simple docstring'''







		return CLIPTokenizer.from_pretrained(self.tmpdirname		,	**lowerCAmelCase							)




	def       __A					(		self	:						Tuple		,	**lowerCAmelCase	:						List[Any]							):


		'''simple docstring'''







		return CLIPTokenizerFast.from_pretrained(self.tmpdirname		,	**lowerCAmelCase							)




	def       __A					(		self	:						Union[str, Any]		,	**lowerCAmelCase	:						int							):


		'''simple docstring'''







		return CLIPImageProcessor.from_pretrained(self.tmpdirname		,	**lowerCAmelCase							)




	def       __A					(		self	:						str							):


		'''simple docstring'''







		shutil.rmtree(self.tmpdirname							)




	def       __A					(		self	:						Dict							):


		'''simple docstring'''







		UpperCAmelCase_       				=			[np.random.randint(255		,	size=(3, 30, 400)		,	dtype=np.uinta							)]

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

		return image_inputs




	def       __A					(		self	:						Tuple							):


		'''simple docstring'''







		UpperCAmelCase_       				=			self.get_tokenizer()
		UpperCAmelCase_       				=			self.get_rust_tokenizer()
		UpperCAmelCase_       				=			self.get_image_processor()

		UpperCAmelCase_       				=			CLIPProcessor(tokenizer=lowerCAmelCase		,	image_processor=lowerCAmelCase							)
		processor_slow.save_pretrained(self.tmpdirname							)
		UpperCAmelCase_       				=			CLIPProcessor.from_pretrained(self.tmpdirname		,	use_fast=lowerCAmelCase							)

		UpperCAmelCase_       				=			CLIPProcessor(tokenizer=lowerCAmelCase		,	image_processor=lowerCAmelCase							)
		processor_fast.save_pretrained(self.tmpdirname							)
		UpperCAmelCase_       				=			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		,	lowerCAmelCase							)
		self.assertIsInstance(processor_fast.tokenizer		,	lowerCAmelCase							)

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




	def       __A					(		self	:						Tuple							):


		'''simple docstring'''







		UpperCAmelCase_       				=			CLIPProcessor(tokenizer=self.get_tokenizer()		,	image_processor=self.get_image_processor()							)
		processor.save_pretrained(self.tmpdirname							)

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

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

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

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




	def       __A					(		self	:						Optional[Any]							):


		'''simple docstring'''







		UpperCAmelCase_       				=			self.get_image_processor()
		UpperCAmelCase_       				=			self.get_tokenizer()

		UpperCAmelCase_       				=			CLIPProcessor(tokenizer=lowerCAmelCase		,	image_processor=lowerCAmelCase							)

		UpperCAmelCase_       				=			self.prepare_image_inputs()

		UpperCAmelCase_       				=			image_processor(lowerCAmelCase		,	return_tensors="np"							)
		UpperCAmelCase_       				=			processor(images=lowerCAmelCase		,	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       __A					(		self	:						Tuple							):


		'''simple docstring'''







		UpperCAmelCase_       				=			self.get_image_processor()
		UpperCAmelCase_       				=			self.get_tokenizer()

		UpperCAmelCase_       				=			CLIPProcessor(tokenizer=lowerCAmelCase		,	image_processor=lowerCAmelCase							)

		UpperCAmelCase_       				=			"lower newer"

		UpperCAmelCase_       				=			processor(text=lowerCAmelCase							)

		UpperCAmelCase_       				=			tokenizer(lowerCAmelCase							)

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




	def       __A					(		self	:						Any							):


		'''simple docstring'''







		UpperCAmelCase_       				=			self.get_image_processor()
		UpperCAmelCase_       				=			self.get_tokenizer()

		UpperCAmelCase_       				=			CLIPProcessor(tokenizer=lowerCAmelCase		,	image_processor=lowerCAmelCase							)

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

		UpperCAmelCase_       				=			processor(text=lowerCAmelCase		,	images=lowerCAmelCase							)

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

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




	def       __A					(		self	:						Union[str, Any]							):


		'''simple docstring'''







		UpperCAmelCase_       				=			self.get_image_processor()
		UpperCAmelCase_       				=			self.get_tokenizer()

		UpperCAmelCase_       				=			CLIPProcessor(tokenizer=lowerCAmelCase		,	image_processor=lowerCAmelCase							)

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

		UpperCAmelCase_       				=			processor.batch_decode(lowerCAmelCase							)
		UpperCAmelCase_       				=			tokenizer.batch_decode(lowerCAmelCase							)

		self.assertListEqual(lowerCAmelCase		,	lowerCAmelCase							)




	def       __A					(		self	:						List[Any]							):


		'''simple docstring'''







		UpperCAmelCase_       				=			self.get_image_processor()
		UpperCAmelCase_       				=			self.get_tokenizer()

		UpperCAmelCase_       				=			CLIPProcessor(tokenizer=lowerCAmelCase		,	image_processor=lowerCAmelCase							)

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

		UpperCAmelCase_       				=			processor(text=lowerCAmelCase		,	images=lowerCAmelCase							)

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


from ...configuration_utils import PretrainedConfig
from ...utils import logging


_a:    List[str] 							=			logging.get_logger(__name__)

_a:    Any 							=			{
    """sayakpaul/vit-msn-base""": """https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json""",
    # See all ViT MSN models at https://huggingface.co/models?filter=vit_msn
}

class 						__UpperCamelCase    (					lowercase						):
	SCREAMING_SNAKE_CASE__    				=     'vit_msn'




	def __init__(		self	:						Union[str, Any]		,	lowerCAmelCase	:						Optional[int]=768		,	lowerCAmelCase	:						Dict=12		,	lowerCAmelCase	:						str=12		,	lowerCAmelCase	:						List[str]=3_072		,	lowerCAmelCase	:						Tuple="gelu"		,	lowerCAmelCase	:						int=0.0		,	lowerCAmelCase	:						Optional[int]=0.0		,	lowerCAmelCase	:						Union[str, Any]=0.02		,	lowerCAmelCase	:						str=1e-06		,	lowerCAmelCase	:						Dict=224		,	lowerCAmelCase	:						str=16		,	lowerCAmelCase	:						List[Any]=3		,	lowerCAmelCase	:						Union[str, Any]=True		,	**lowerCAmelCase	:						List[str]		,	):


		'''simple docstring'''







		super().__init__(**lowerCAmelCase							)

		UpperCAmelCase_       				=			hidden_size
		UpperCAmelCase_       				=			num_hidden_layers
		UpperCAmelCase_       				=			num_attention_heads
		UpperCAmelCase_       				=			intermediate_size
		UpperCAmelCase_       				=			hidden_act
		UpperCAmelCase_       				=			hidden_dropout_prob
		UpperCAmelCase_       				=			attention_probs_dropout_prob
		UpperCAmelCase_       				=			initializer_range
		UpperCAmelCase_       				=			layer_norm_eps
		UpperCAmelCase_       				=			image_size
		UpperCAmelCase_       				=			patch_size
		UpperCAmelCase_       				=			num_channels
		UpperCAmelCase_       				=			qkv_bias