






from __future__ import annotations

from collections.abc import Callable
from typing import Generic, TypeVar

A__			:    Union[str, Any]         =				TypeVar('T')
A__			:    Any         =				TypeVar('U')
class    _UpperCAmelCase      ( Generic[T, U]			):

				"""simple docstring"""




				def __init__(  self		:					Optional[Any],						lowerCamelCase		:					str,						lowerCamelCase		:					str						):

								'''simple docstring'''
								lowercase__     				=    key
								lowercase__     				=    val
								lowercase__     				=    None
								lowercase__     				=    None




				def __repr__(  self		:					Optional[Any]						):

								'''simple docstring'''
								return (
								    F"""Node: key: {self.key}, val: {self.val}, """
								    F"""has next: {bool(self.next						)}, has prev: {bool(self.prev						)}"""
								)



class    _UpperCAmelCase      ( Generic[T, U]			):

				"""simple docstring"""




				def __init__(  self		:					str						):

								'''simple docstring'''
								lowercase__     				=    DoubleLinkedListNode(lowercase_,						lowercase_						)
								lowercase__     				=    DoubleLinkedListNode(lowercase_,						lowercase_						)
								lowercase__     				=    self.rear, self.head




				def __repr__(  self		:					Any						):

								'''simple docstring'''
								lowercase__     				=    ["DoubleLinkedList"]
								lowercase__     				=    self.head
								while node.next is not None:
												rep.append(str(lowercase_						)						)
												lowercase__     				=    node.next
								rep.append(str(self.rear						)						)
								return ",\n    ".join(lowercase_						)




				def        lowercase__     (  self		:					str,						lowerCamelCase		:					List[Any]						):

								'''simple docstring'''
								lowercase__     				=    self.rear.prev

								# All nodes other than self.head are guaranteed to have non-None previous
								assert previous is not None

								lowercase__     				=    node
								lowercase__     				=    previous
								lowercase__     				=    node
								lowercase__     				=    self.rear




				def        lowercase__     (  self		:					List[Any],						lowerCamelCase		:					Optional[Any]						):

								'''simple docstring'''

								if node.prev is None or node.next is None:
												return None

								lowercase__     				=    node.next
								lowercase__     				=    node.prev
								lowercase__     				=    None
								lowercase__     				=    None
								return node



class    _UpperCAmelCase      ( Generic[T, U]			):

				"""simple docstring"""




				lowercase__       							= {}




				def __init__(  self		:					Tuple,						lowerCamelCase		:					Tuple						):

								'''simple docstring'''
								lowercase__     				=    DoubleLinkedList()
								lowercase__     				=    capacity
								lowercase__     				=    0
								lowercase__     				=    0
								lowercase__     				=    0
								lowercase__     				=    {}




				def __repr__(  self		:					int						):

								'''simple docstring'''
								return (
								    F"""CacheInfo(hits={self.hits}, misses={self.miss}, """
								    F"""capacity={self.capacity}, current size={self.num_keys})"""
								)




				def __contains__(  self		:					Optional[Any],						lowerCamelCase		:					Dict						):

								'''simple docstring'''
								return key in self.cache




				def        lowercase__     (  self		:					Any,						lowerCamelCase		:					Tuple						):

								'''simple docstring'''
								# Note: pythonic interface would throw KeyError rather than return None

								if key in self.cache:
												self.hits += 1
												lowercase__     				=    self.cache[key]
												lowercase__     				=    self.list.remove(self.cache[key]						)
												assert node == value_node

												# node is guaranteed not None because it is in self.cache
												assert node is not None
												self.list.add(lowercase_						)
												return node.val
								self.miss += 1
								return None




				def        lowercase__     (  self		:					List[str],						lowerCamelCase		:					str,						lowerCamelCase		:					Optional[Any]						):

								'''simple docstring'''

								if key not in self.cache:
												if self.num_keys >= self.capacity:
																# delete first node (oldest) when over capacity
																lowercase__     				=    self.list.head.next

																# guaranteed to have a non-None first node when num_keys > 0
																# explain to type checker via assertions
																assert first_node is not None
																assert first_node.key is not None
																assert (
																    self.list.remove(lowercase_						) is not None
																)  # node guaranteed to be in list assert node.key is not None

																del self.cache[first_node.key]
																self.num_keys -= 1
												lowercase__     				=    DoubleLinkedListNode(lowercase_,						lowercase_						)
												self.list.add(self.cache[key]						)
												self.num_keys += 1

								else:
												# bump node to the end of the list, update value
												lowercase__     				=    self.list.remove(self.cache[key]						)
												assert node is not None  # node guaranteed to be in list
												lowercase__     				=    value
												self.list.add(lowercase_						)




				@classmethod
				def        lowercase__     (  cls		:					List[Any],						lowerCamelCase		:					Optional[int] = 128						):

								'''simple docstring'''

								def cache_decorator_inner(lowerCamelCase		:					Any						) -> Callable[..., U]:
												def cache_decorator_wrapper(*lowerCamelCase		:					str						) -> U:
																if func not in cls.decorator_function_to_instance_map:
																				lowercase__     				=    LRUCache(lowercase_						)

																lowercase__     				=    cls.decorator_function_to_instance_map[func].get(args[0]						)
																if result is None:
																				lowercase__     				=    func(*lowercase_						)
																				cls.decorator_function_to_instance_map[func].put(args[0],						lowercase_						)
																return result

												def cache_info() -> LRUCache[T, U]:
																return cls.decorator_function_to_instance_map[func]

												setattr(lowercase_,						'''cache_info''',						lowercase_						)  # noqa: B010

												return cache_decorator_wrapper

								return cache_decorator_inner


if __name__ == "__main__":
				import doctest

				doctest.testmod()












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			):

				"""simple docstring"""




				lowercase__       							= ViTImageProcessor if is_vision_available() else None




				@property
				def        lowercase__     (  self		:					List[str]						):

								'''simple docstring'''
								return self.image_processor_tester.prepare_image_processor_dict()




				def        lowercase__     (  self		:					Any						):

								'''simple docstring'''
								lowercase__     				=    (3, 32, 128)
								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(lowerCamelCase,						range(len(lowerCamelCase						)						)						)						)

								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(lowerCamelCase						) + '''\n'''						)

								lowercase__     				=    {
								    '''do_normalize''': False,
								    '''do_resize''': True,
								    '''image_processor_type''': '''ViTImageProcessor''',
								    '''resample''': 3,
								    '''size''': {'''height''': 32, '''width''': 128},
								}
								lowercase__     				=    os.path.join(self.tmpdirname,						lowerCamelCase						)
								with open(self.image_processor_file,						'''w''',						encoding='''utf-8'''						) as fp:
												json.dump(lowerCamelCase,						lowerCamelCase						)




				def        lowercase__     (  self		:					int,						**lowerCamelCase		:					Optional[Any]						):

								'''simple docstring'''
								return MgpstrTokenizer.from_pretrained(self.tmpdirname,						**lowerCamelCase						)




				def        lowercase__     (  self		:					str,						**lowerCamelCase		:					Union[str, Any]						):

								'''simple docstring'''
								return ViTImageProcessor.from_pretrained(self.tmpdirname,						**lowerCamelCase						)




				def        lowercase__     (  self		:					int						):

								'''simple docstring'''
								shutil.rmtree(self.tmpdirname						)




				def        lowercase__     (  self		:					List[Any]						):

								'''simple docstring'''
								lowercase__     				=    np.random.randint(255,						size=(3, 30, 400),						dtype=np.uinta						)

								lowercase__     				=    Image.fromarray(np.moveaxis(lowerCamelCase,						0,						-1						)						)

								return image_input




				def        lowercase__     (  self		:					int						):

								'''simple docstring'''
								lowercase__     				=    self.get_tokenizer()
								lowercase__     				=    self.get_image_processor()

								lowercase__     				=    MgpstrProcessor(tokenizer=lowerCamelCase,						image_processor=lowerCamelCase						)
								processor.save_pretrained(self.tmpdirname						)
								lowercase__     				=    MgpstrProcessor.from_pretrained(self.tmpdirname,						use_fast=lowerCamelCase						)

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

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




				def        lowercase__     (  self		:					Optional[Any]						):

								'''simple docstring'''
								lowercase__     				=    self.get_tokenizer()
								lowercase__     				=    self.get_image_processor()

								lowercase__     				=    MgpstrProcessor(tokenizer=lowerCamelCase,						image_processor=lowerCamelCase						)
								processor.save_pretrained(self.tmpdirname						)

								lowercase__     				=    self.get_tokenizer(bos_token='''(BOS)''',						eos_token='''(EOS)'''						)
								lowercase__     				=    self.get_image_processor(do_normalize=lowerCamelCase,						padding_value=1.0						)

								lowercase__     				=    MgpstrProcessor.from_pretrained(
								    self.tmpdirname,						bos_token='''(BOS)''',						eos_token='''(EOS)''',						do_normalize=lowerCamelCase,						padding_value=1.0						)

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

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




				def        lowercase__     (  self		:					Tuple						):

								'''simple docstring'''
								lowercase__     				=    self.get_image_processor()
								lowercase__     				=    self.get_tokenizer()

								lowercase__     				=    MgpstrProcessor(tokenizer=lowerCamelCase,						image_processor=lowerCamelCase						)

								lowercase__     				=    self.prepare_image_inputs()

								lowercase__     				=    image_processor(lowerCamelCase,						return_tensors='''np'''						)
								lowercase__     				=    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        lowercase__     (  self		:					Union[str, Any]						):

								'''simple docstring'''
								lowercase__     				=    self.get_image_processor()
								lowercase__     				=    self.get_tokenizer()

								lowercase__     				=    MgpstrProcessor(tokenizer=lowerCamelCase,						image_processor=lowerCamelCase						)

								lowercase__     				=    '''test'''

								lowercase__     				=    processor(text=lowerCamelCase						)

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




				def        lowercase__     (  self		:					List[str]						):

								'''simple docstring'''
								lowercase__     				=    self.get_image_processor()
								lowercase__     				=    self.get_tokenizer()

								lowercase__     				=    MgpstrProcessor(tokenizer=lowerCamelCase,						image_processor=lowerCamelCase						)

								lowercase__     				=    '''test'''
								lowercase__     				=    self.prepare_image_inputs()

								lowercase__     				=    processor(text=lowerCamelCase,						images=lowerCamelCase						)

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

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




				def        lowercase__     (  self		:					int						):

								'''simple docstring'''
								lowercase__     				=    self.get_image_processor()
								lowercase__     				=    self.get_tokenizer()

								lowercase__     				=    MgpstrProcessor(tokenizer=lowerCamelCase,						image_processor=lowerCamelCase						)

								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(lowerCamelCase						)
								lowercase__     				=    tokenizer.batch_decode(lowerCamelCase						)
								lowercase__     				=    [seq.replace(''' ''',						''''''						) for seq in decoded_tok]

								self.assertListEqual(lowerCamelCase,						lowerCamelCase						)




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

								'''simple docstring'''
								lowercase__     				=    self.get_image_processor()
								lowercase__     				=    self.get_tokenizer()

								lowercase__     				=    MgpstrProcessor(tokenizer=lowerCamelCase,						image_processor=lowerCamelCase						)

								lowercase__     				=    None
								lowercase__     				=    self.prepare_image_inputs()

								lowercase__     				=    processor(text=lowerCamelCase,						images=lowerCamelCase						)

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




				def        lowercase__     (  self		:					Optional[Any]						):

								'''simple docstring'''
								lowercase__     				=    self.get_image_processor()
								lowercase__     				=    self.get_tokenizer()

								lowercase__     				=    MgpstrProcessor(tokenizer=lowerCamelCase,						image_processor=lowerCamelCase						)

								lowercase__     				=    torch.randn(1,						27,						38						)
								lowercase__     				=    torch.randn(1,						27,						50_257						)
								lowercase__     				=    torch.randn(1,						27,						30_522						)

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

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




