


"""simple docstring"""


import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import BertTokenizer, BertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transformers.utils import FEATURE_EXTRACTOR_NAME, is_vision_available


if is_vision_available():
	from PIL import Image

	from transformers import ChineseCLIPImageProcessor, ChineseCLIPProcessor
@require_vision
class     _UpperCamelCase    (  unittest.TestCase						):
							'''simple docstring'''







							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     tempfile.mkdtemp()

										__lowerCAmelCase							       =     [
										    "[UNK]",
										    "[CLS]",
										    "[SEP]",
										    "[PAD]",
										    "[MASK]",
										    "的",
										    "价",
										    "格",
										    "是",
										    "15",
										    "便",
										    "alex",
										    "##andra",
										    "，",
										    "。",
										    "-",
										    "t",
										    "shirt",
										]
										__lowerCAmelCase							       =     os.path.join(self.tmpdirname       ,  VOCAB_FILES_NAMES["vocab_file"]      )
										with open(self.vocab_file       ,  "w"       ,  encoding="utf-8"      ) as vocab_writer:
													vocab_writer.write("".join([x + "\n" for x in vocab_tokens]      )      )

										__lowerCAmelCase							       =     {
										    "do_resize": True,
										    "size": {"height": 2_24, "width": 2_24},
										    "do_center_crop": True,
										    "crop_size": {"height": 18, "width": 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],
										    "do_convert_rgb": True,
										}
										__lowerCAmelCase							       =     os.path.join(self.tmpdirname       ,  __a      )
										with open(self.image_processor_file       ,  "w"       ,  encoding="utf-8"      ) as fp:
													json.dump(__a       ,  __a      )

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

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

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

							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(__a       ,  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							       =     ChineseCLIPProcessor(tokenizer=__a       ,  image_processor=__a      )
										processor_slow.save_pretrained(self.tmpdirname      )
										__lowerCAmelCase							       =     ChineseCLIPProcessor.from_pretrained(self.tmpdirname       ,  use_fast=__a      )

										__lowerCAmelCase							       =     ChineseCLIPProcessor(tokenizer=__a       ,  image_processor=__a      )
										processor_fast.save_pretrained(self.tmpdirname      )
										__lowerCAmelCase							       =     ChineseCLIPProcessor.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       ,  __a      )
										self.assertIsInstance(processor_fast.tokenizer       ,  __a      )

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

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     ChineseCLIPProcessor(tokenizer=self.get_tokenizer()       ,  image_processor=self.get_image_processor()      )
										processor.save_pretrained(self.tmpdirname      )

										__lowerCAmelCase							       =     self.get_tokenizer(cls_token="(CLS)"       ,  sep_token="(SEP)"      )
										__lowerCAmelCase							       =     self.get_image_processor(do_normalize=__a      )

										__lowerCAmelCase							       =     ChineseCLIPProcessor.from_pretrained(
										    self.tmpdirname       ,  cls_token="(CLS)"       ,  sep_token="(SEP)"       ,  do_normalize=__a      )

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

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

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

										__lowerCAmelCase							       =     ChineseCLIPProcessor(tokenizer=__a       ,  image_processor=__a      )

										__lowerCAmelCase							       =     self.prepare_image_inputs()

										__lowerCAmelCase							       =     image_processor(__a       ,  return_tensors="np"      )
										__lowerCAmelCase							       =     processor(images=__a       ,  return_tensors="np"      )

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

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

										__lowerCAmelCase							       =     ChineseCLIPProcessor(tokenizer=__a       ,  image_processor=__a      )

										__lowerCAmelCase							       =     "Alexandra，T-shirt的价格是15便士。"

										__lowerCAmelCase							       =     processor(text=__a      )

										__lowerCAmelCase							       =     tokenizer(__a      )

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

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

										__lowerCAmelCase							       =     ChineseCLIPProcessor(tokenizer=__a       ,  image_processor=__a      )

										__lowerCAmelCase							       =     "Alexandra，T-shirt的价格是15便士。"
										__lowerCAmelCase							       =     self.prepare_image_inputs()

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

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

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

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

										__lowerCAmelCase							       =     ChineseCLIPProcessor(tokenizer=__a       ,  image_processor=__a      )

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

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

										self.assertListEqual(__a       ,  __a      )



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

										__lowerCAmelCase							       =     ChineseCLIPProcessor(tokenizer=__a       ,  image_processor=__a      )

										__lowerCAmelCase							       =     "Alexandra，T-shirt的价格是15便士。"
										__lowerCAmelCase							       =     self.prepare_image_inputs()

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

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








"""simple docstring"""


import heapq as hq
import math
from collections.abc import Iterator
class     _UpperCamelCase    :
							'''simple docstring'''







							def __init__(	self       ,  __a      ):
										__lowerCAmelCase							       =     str(id_      )
										__lowerCAmelCase							       =     None
										__lowerCAmelCase							       =     None
										__lowerCAmelCase							       =     []
										__lowerCAmelCase							       =     {}  # {vertex:distance}

							def __lt__(	self       ,  __a      ):
										return self.key < other.key

							def __repr__(	self      ):
										return self.id

							def      snake_case							(	self       ,  __a      ):
										self.neighbors.append(__a      )



							def      snake_case							(	self       ,  __a       ,  __a      ):
										__lowerCAmelCase							       =     weight


def _lowerCamelCase      (						_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase ):

			'''simple docstring'''




			graph[a - 1].add_neighbor(graph[b - 1] )
			graph[b - 1].add_neighbor(graph[a - 1] )
			# add the edges:
			graph[a - 1].add_edge(graph[b - 1]       ,					_UpperCamelCase )
			graph[b - 1].add_edge(graph[a - 1]       ,					_UpperCamelCase )


def _lowerCamelCase      (						_UpperCamelCase       ,					_UpperCamelCase ):

			'''simple docstring'''




			__lowerCAmelCase							       =     []
			for u in graph:
						__lowerCAmelCase							       =     math.inf
						__lowerCAmelCase							       =     None
			__lowerCAmelCase							       =     0
			__lowerCAmelCase							       =     graph[:]
			while q:
						__lowerCAmelCase							       =     min(_UpperCamelCase )
						q.remove(_UpperCamelCase )
						for v in u.neighbors:
									if (v in q) and (u.edges[v.id] < v.key):
												__lowerCAmelCase							       =     u
												__lowerCAmelCase							       =     u.edges[v.id]
			for i in range(1       ,					len(_UpperCamelCase ) ):
						a.append((int(graph[i].id ) + 1, int(graph[i].pi.id ) + 1) )
			return a


def _lowerCamelCase      (						_UpperCamelCase       ,					_UpperCamelCase ):

			'''simple docstring'''




			for u in graph:
						__lowerCAmelCase							       =     math.inf
						__lowerCAmelCase							       =     None
			__lowerCAmelCase							       =     0

			__lowerCAmelCase							       =     list(_UpperCamelCase )
			hq.heapify(_UpperCamelCase )

			while h:
						__lowerCAmelCase							       =     hq.heappop(_UpperCamelCase )
						for v in u.neighbors:
									if (v in h) and (u.edges[v.id] < v.key):
												__lowerCAmelCase							       =     u
												__lowerCAmelCase							       =     u.edges[v.id]
												hq.heapify(_UpperCamelCase )

			for i in range(1       ,					len(_UpperCamelCase ) ):
						yield (int(graph[i].id ) + 1, int(graph[i].pi.id ) + 1)


def _lowerCamelCase      (						):

			'''simple docstring'''






if __name__ == "__main__":
	import doctest

	doctest.testmod()




