'''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 							lowercase						(						unittest.TestCase ):


   def __UpperCAmelCase       (   self				:	str)      ->					Union[str, Any]:
         lowercase_     =      tempfile.mkdtemp()

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

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

         lowercase_     =      {
             "do_resize": True,
             "size": 20,
             "do_center_crop": True,
             "crop_size": 18,
             "do_normalize": True,
             "image_mean": [0.4814_5466, 0.457_8275, 0.4082_1073],
             "image_std": [0.2686_2954, 0.2613_0258, 0.2757_7711],
         }
         lowercase_     =      os.path.join(self.tmpdirname   ,		SCREAMING_SNAKE_CASE_)
         with open(self.image_processor_file   ,		"w"   ,		encoding="utf-8") as fp:
               json.dump(SCREAMING_SNAKE_CASE_   ,		SCREAMING_SNAKE_CASE_)


   def __UpperCAmelCase       (   self				:	Any   ,		**__lowerCAmelCase				:	List[str])      ->					Tuple:
         return CLIPTokenizer.from_pretrained(self.tmpdirname   ,		pad_token="!"   ,		**SCREAMING_SNAKE_CASE_)


   def __UpperCAmelCase       (   self				:	Dict   ,		**__lowerCAmelCase				:	List[str])      ->					str:
         return CLIPTokenizerFast.from_pretrained(self.tmpdirname   ,		pad_token="!"   ,		**SCREAMING_SNAKE_CASE_)


   def __UpperCAmelCase       (   self				:	Any   ,		**__lowerCAmelCase				:	Dict)      ->					Optional[int]:
         return OwlViTImageProcessor.from_pretrained(self.tmpdirname   ,		**SCREAMING_SNAKE_CASE_)


   def __UpperCAmelCase       (   self				:	List[str])      ->					List[str]:
         shutil.rmtree(self.tmpdirname)


   def __UpperCAmelCase       (   self				:	str)      ->					int:
         lowercase_     =      [np.random.randint(255   ,		size=(3, 30, 400)   ,		dtype=np.uinta)]

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

         return image_inputs


   def __UpperCAmelCase       (   self				:	int)      ->					Tuple:
         lowercase_     =      self.get_tokenizer()
         lowercase_     =      self.get_rust_tokenizer()
         lowercase_     =      self.get_image_processor()

         lowercase_     =      OwlViTProcessor(tokenizer=SCREAMING_SNAKE_CASE_   ,		image_processor=SCREAMING_SNAKE_CASE_)
         processor_slow.save_pretrained(self.tmpdirname)
         lowercase_     =      OwlViTProcessor.from_pretrained(self.tmpdirname   ,		use_fast=SCREAMING_SNAKE_CASE_)

         lowercase_     =      OwlViTProcessor(tokenizer=SCREAMING_SNAKE_CASE_   ,		image_processor=SCREAMING_SNAKE_CASE_)
         processor_fast.save_pretrained(self.tmpdirname)
         lowercase_     =      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   ,		SCREAMING_SNAKE_CASE_)
         self.assertIsInstance(processor_fast.tokenizer   ,		SCREAMING_SNAKE_CASE_)

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


   def __UpperCAmelCase       (   self				:	Optional[Any])      ->					Optional[Any]:
         lowercase_     =      OwlViTProcessor(tokenizer=self.get_tokenizer()   ,		image_processor=self.get_image_processor())
         processor.save_pretrained(self.tmpdirname)

         lowercase_     =      self.get_tokenizer(bos_token="(BOS)"   ,		eos_token="(EOS)")
         lowercase_     =      self.get_image_processor(do_normalize=SCREAMING_SNAKE_CASE_)

         lowercase_     =      OwlViTProcessor.from_pretrained(
             self.tmpdirname   ,		bos_token="(BOS)"   ,		eos_token="(EOS)"   ,		do_normalize=SCREAMING_SNAKE_CASE_)

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

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


   def __UpperCAmelCase       (   self				:	Optional[int])      ->					Any:
         lowercase_     =      self.get_image_processor()
         lowercase_     =      self.get_tokenizer()

         lowercase_     =      OwlViTProcessor(tokenizer=SCREAMING_SNAKE_CASE_   ,		image_processor=SCREAMING_SNAKE_CASE_)

         lowercase_     =      self.prepare_image_inputs()

         lowercase_     =      image_processor(SCREAMING_SNAKE_CASE_   ,		return_tensors="np")
         lowercase_     =      processor(images=SCREAMING_SNAKE_CASE_   ,		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 __UpperCAmelCase       (   self				:	Tuple)      ->					Tuple:
         lowercase_     =      self.get_image_processor()
         lowercase_     =      self.get_tokenizer()

         lowercase_     =      OwlViTProcessor(tokenizer=SCREAMING_SNAKE_CASE_   ,		image_processor=SCREAMING_SNAKE_CASE_)

         lowercase_     =      "lower newer"

         lowercase_     =      processor(text=SCREAMING_SNAKE_CASE_   ,		return_tensors="np")

         lowercase_     =      tokenizer(SCREAMING_SNAKE_CASE_   ,		return_tensors="np")

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


   def __UpperCAmelCase       (   self				:	Dict)      ->					str:
         lowercase_     =      self.get_image_processor()
         lowercase_     =      self.get_tokenizer()

         lowercase_     =      OwlViTProcessor(tokenizer=SCREAMING_SNAKE_CASE_   ,		image_processor=SCREAMING_SNAKE_CASE_)

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

         lowercase_     =      processor(text=SCREAMING_SNAKE_CASE_   ,		images=SCREAMING_SNAKE_CASE_)

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

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


   def __UpperCAmelCase       (   self				:	Union[str, Any])      ->					str:
         lowercase_     =      "google/owlvit-base-patch32"
         lowercase_     =      OwlViTProcessor.from_pretrained(SCREAMING_SNAKE_CASE_)

         lowercase_     =      ["cat", "nasa badge"]
         lowercase_     =      processor(text=SCREAMING_SNAKE_CASE_)

         lowercase_     =      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(SCREAMING_SNAKE_CASE_):
               processor()


   def __UpperCAmelCase       (   self				:	List[str])      ->					int:
         lowercase_     =      "google/owlvit-base-patch32"
         lowercase_     =      OwlViTProcessor.from_pretrained(SCREAMING_SNAKE_CASE_)

         lowercase_     =      [["cat", "nasa badge"], ["person"]]
         lowercase_     =      processor(text=SCREAMING_SNAKE_CASE_)

         lowercase_     =      16
         lowercase_     =      len(SCREAMING_SNAKE_CASE_)
         lowercase_     =      max([len(SCREAMING_SNAKE_CASE_) 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(SCREAMING_SNAKE_CASE_):
               processor()


   def __UpperCAmelCase       (   self				:	Optional[Any])      ->					List[str]:
         lowercase_     =      "google/owlvit-base-patch32"
         lowercase_     =      OwlViTProcessor.from_pretrained(SCREAMING_SNAKE_CASE_)

         lowercase_     =      ["cat", "nasa badge"]
         lowercase_     =      processor(text=SCREAMING_SNAKE_CASE_)

         lowercase_     =      16
         lowercase_     =      inputs["input_ids"]
         lowercase_     =      [
             [4_9406, 2368, 4_9407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
             [4_9406, 6841, 1_1301, 4_9407, 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 __UpperCAmelCase       (   self				:	Tuple)      ->					Any:
         lowercase_     =      self.get_image_processor()
         lowercase_     =      self.get_tokenizer()

         lowercase_     =      OwlViTProcessor(tokenizer=SCREAMING_SNAKE_CASE_   ,		image_processor=SCREAMING_SNAKE_CASE_)

         lowercase_     =      self.prepare_image_inputs()
         lowercase_     =      self.prepare_image_inputs()

         lowercase_     =      processor(images=SCREAMING_SNAKE_CASE_   ,		query_images=SCREAMING_SNAKE_CASE_)

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

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


   def __UpperCAmelCase       (   self				:	Any)      ->					Optional[int]:
         lowercase_     =      self.get_image_processor()
         lowercase_     =      self.get_tokenizer()

         lowercase_     =      OwlViTProcessor(tokenizer=SCREAMING_SNAKE_CASE_   ,		image_processor=SCREAMING_SNAKE_CASE_)

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

         lowercase_     =      processor.batch_decode(SCREAMING_SNAKE_CASE_)
         lowercase_     =      tokenizer.batch_decode(SCREAMING_SNAKE_CASE_)

         self.assertListEqual(SCREAMING_SNAKE_CASE_   ,		SCREAMING_SNAKE_CASE_)







'''simple docstring'''

# Author: OMKAR PATHAK, Nwachukwu Chidiebere

# Use a Python dictionary to construct the graph.
from __future__ import annotations

from pprint import pformat
from typing import Generic, TypeVar

lowerCAmelCase_ : Dict						  =      TypeVar("T")





class 							lowercase						(						Generic[T] ):


   def __init__(   self				:	int   ,		__lowerCAmelCase				:	bool = True)      ->					None:
         lowercase_     =      {}  # dictionary of lists
         lowercase_     =      directed


   def __UpperCAmelCase       (   self				:	int   ,		__lowerCAmelCase				:	T   ,		__lowerCAmelCase				:	T)      ->					GraphAdjacencyList[T]:

         if not self.directed:  # For undirected graphs
               # if both source vertex and destination vertex are both present in the
               # adjacency list, add destination vertex to source vertex list of adjacent
               # vertices and add source vertex to destination vertex list of adjacent
               # vertices.
               if source_vertex in self.adj_list and destination_vertex in self.adj_list:
                     self.adj_list[source_vertex].append(__lowerCAmelCase)
                     self.adj_list[destination_vertex].append(__lowerCAmelCase)
               # if only source vertex is present in adjacency list, add destination vertex
               # to source vertex list of adjacent vertices, then create a new vertex with
               # destination vertex as key and assign a list containing the source vertex
               # as it's first adjacent vertex.
               elif source_vertex in self.adj_list:
                     self.adj_list[source_vertex].append(__lowerCAmelCase)
                     lowercase_     =      [source_vertex]
               # if only destination vertex is present in adjacency list, add source vertex
               # to destination vertex list of adjacent vertices, then create a new vertex
               # with source vertex as key and assign a list containing the source vertex
               # as it's first adjacent vertex.
               elif destination_vertex in self.adj_list:
                     self.adj_list[destination_vertex].append(__lowerCAmelCase)
                     lowercase_     =      [destination_vertex]
               # if both source vertex and destination vertex are not present in adjacency
               # list, create a new vertex with source vertex as key and assign a list
               # containing the destination vertex as it's first adjacent vertex also
               # create a new vertex with destination vertex as key and assign a list
               # containing the source vertex as it's first adjacent vertex.
               else:
                     lowercase_     =      [destination_vertex]
                     lowercase_     =      [source_vertex]
         else:  # For directed graphs
               # if both source vertex and destination vertex are present in adjacency
               # list, add destination vertex to source vertex list of adjacent vertices.
               if source_vertex in self.adj_list and destination_vertex in self.adj_list:
                     self.adj_list[source_vertex].append(__lowerCAmelCase)
               # if only source vertex is present in adjacency list, add destination
               # vertex to source vertex list of adjacent vertices and create a new vertex
               # with destination vertex as key, which has no adjacent vertex
               elif source_vertex in self.adj_list:
                     self.adj_list[source_vertex].append(__lowerCAmelCase)
                     lowercase_     =      []
               # if only destination vertex is present in adjacency list, create a new
               # vertex with source vertex as key and assign a list containing destination
               # vertex as first adjacent vertex
               elif destination_vertex in self.adj_list:
                     lowercase_     =      [destination_vertex]
               # if both source vertex and destination vertex are not present in adjacency
               # list, create a new vertex with source vertex as key and a list containing
               # destination vertex as it's first adjacent vertex. Then create a new vertex
               # with destination vertex as key, which has no adjacent vertex
               else:
                     lowercase_     =      [destination_vertex]
                     lowercase_     =      []

         return self


   def __repr__(   self				:	str)      ->					str:
         return pformat(self.adj_list)






