

"""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  _lowerCAmelCase  (     unittest.TestCase       ):







 """simple docstring"""







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

    __lowercase								=						{
        "do_resize": True,
        "size": 2_0,
        "do_center_crop": True,
        "crop_size": 1_8,
        "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],
    }
    __lowercase								=						os.path.join(self.tmpdirname, UpperCAmelCase__     )
    with open(self.image_processor_file, "w", encoding="utf-8"     ) as fp:
       json.dump(UpperCAmelCase__, UpperCAmelCase__     )


 def  _lowercase			(      self							:      Optional[int], **UpperCAmelCase__							:      Tuple     ):
    return CLIPTokenizer.from_pretrained(self.tmpdirname, pad_token="!", **UpperCAmelCase__     )


 def  _lowercase			(      self							:      str, **UpperCAmelCase__							:      Any     ):
    return CLIPTokenizerFast.from_pretrained(self.tmpdirname, pad_token="!", **UpperCAmelCase__     )


 def  _lowercase			(      self							:      str, **UpperCAmelCase__							:      Any     ):
    return OwlViTImageProcessor.from_pretrained(self.tmpdirname, **UpperCAmelCase__     )


 def  _lowercase			(      self							:      int     ):
    shutil.rmtree(self.tmpdirname     )


 def  _lowercase			(      self							:      Optional[int]     ):
    __lowercase								=						[np.random.randint(2_5_5, size=(3, 3_0, 4_0_0), dtype=np.uinta     )]

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

    return image_inputs


 def  _lowercase			(      self							:      str     ):
    __lowercase								=						self.get_tokenizer()
    __lowercase								=						self.get_rust_tokenizer()
    __lowercase								=						self.get_image_processor()

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

    __lowercase								=						OwlViTProcessor(tokenizer=UpperCAmelCase__, image_processor=UpperCAmelCase__     )
    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, 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  _lowercase			(      self							:      Dict     ):
    __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=UpperCAmelCase__     )

    __lowercase								=						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  _lowercase			(      self							:      Tuple     ):
    __lowercase								=						self.get_image_processor()
    __lowercase								=						self.get_tokenizer()

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

    __lowercase								=						self.prepare_image_inputs()

    __lowercase								=						image_processor(UpperCAmelCase__, return_tensors="np"     )
    __lowercase								=						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  _lowercase			(      self							:      Optional[Any]     ):
    __lowercase								=						self.get_image_processor()
    __lowercase								=						self.get_tokenizer()

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

    __lowercase								=						"lower newer"

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

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

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


 def  _lowercase			(      self							:      Any     ):
    __lowercase								=						self.get_image_processor()
    __lowercase								=						self.get_tokenizer()

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

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

    __lowercase								=						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  _lowercase			(      self							:      Optional[Any]     ):
    __lowercase								=						"google/owlvit-base-patch32"
    __lowercase								=						OwlViTProcessor.from_pretrained(UpperCAmelCase__     )

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

    __lowercase								=						1_6
    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  _lowercase			(      self							:      List[str]     ):
    __lowercase								=						"google/owlvit-base-patch32"
    __lowercase								=						OwlViTProcessor.from_pretrained(UpperCAmelCase__     )

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

    __lowercase								=						1_6
    __lowercase								=						len(UpperCAmelCase__     )
    __lowercase								=						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  _lowercase			(      self							:      Dict     ):
    __lowercase								=						"google/owlvit-base-patch32"
    __lowercase								=						OwlViTProcessor.from_pretrained(UpperCAmelCase__     )

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

    __lowercase								=						1_6
    __lowercase								=						inputs["input_ids"]
    __lowercase								=						[
        [4_9_4_0_6, 2_3_6_8, 4_9_4_0_7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
        [4_9_4_0_6, 6_8_4_1, 1_1_3_0_1, 4_9_4_0_7, 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  _lowercase			(      self							:      List[str]     ):
    __lowercase								=						self.get_image_processor()
    __lowercase								=						self.get_tokenizer()

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

    __lowercase								=						self.prepare_image_inputs()
    __lowercase								=						self.prepare_image_inputs()

    __lowercase								=						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  _lowercase			(      self							:      List[Any]     ):
    __lowercase								=						self.get_image_processor()
    __lowercase								=						self.get_tokenizer()

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

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

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

    self.assertListEqual(UpperCAmelCase__, UpperCAmelCase__     )







"""simple docstring"""





from __future__ import annotations

from typing import Any




class  _lowerCAmelCase  :







 """simple docstring"""







 def __init__(      self							:      Union[str, Any], UpperCAmelCase__							:      int     ):
    __lowercase								=						num_of_nodes
    __lowercase								=						[]
    __lowercase								=						{}


 def  _lowercase			(      self							:      Tuple, UpperCAmelCase__							:      int, UpperCAmelCase__							:      int, UpperCAmelCase__							:      int     ):
    self.m_edges.append([u_node, v_node, weight]     )


 def  _lowercase			(      self							:      Dict, UpperCAmelCase__							:      int     ):

    if self.m_component[u_node] == u_node:
       return u_node
    return self.find_component(self.m_component[u_node]     )


 def  _lowercase			(      self							:      Dict, UpperCAmelCase__							:      int     ):

    if self.m_component[u_node] != u_node:
       for k in self.m_component:
          __lowercase								=						self.find_component(UpperCAmelCase__     )


 def  _lowercase			(      self							:      str, UpperCAmelCase__							:      list[int], UpperCAmelCase__							:      int, UpperCAmelCase__							:      int     ):

    if component_size[u_node] <= component_size[v_node]:
       __lowercase								=						v_node
       component_size[v_node] += component_size[u_node]
       self.set_component(UpperCAmelCase__     )

    elif component_size[u_node] >= component_size[v_node]:
       __lowercase								=						self.find_component(UpperCAmelCase__     )
       component_size[u_node] += component_size[v_node]
       self.set_component(UpperCAmelCase__     )



 def  _lowercase			(      self							:      Tuple     ):
    __lowercase								=						[]
    __lowercase								=						0

    __lowercase								=						[-1] * self.m_num_of_nodes

    # A list of components (initialized to all of the nodes)
    for node in range(self.m_num_of_nodes     ):
       self.m_component.update({node: node}     )
       component_size.append(1     )

    __lowercase								=						self.m_num_of_nodes

    while num_of_components > 1:
       for edge in self.m_edges:
          __lowercase		,__lowercase		,__lowercase								=						edge

          __lowercase								=						self.m_component[u]
          __lowercase								=						self.m_component[v]

          if u_component != v_component:

             for component in (u_component, v_component):
                if (
                    minimum_weight_edge[component] == -1
                    or minimum_weight_edge[component][2] > w
                ):
                   __lowercase								=						[u, v, w]

       for edge in minimum_weight_edge:
          if isinstance(UpperCAmelCase__, UpperCAmelCase__     ):
             __lowercase		,__lowercase		,__lowercase								=						edge

             __lowercase								=						self.m_component[u]
             __lowercase								=						self.m_component[v]

             if u_component != v_component:
                mst_weight += w
                self.union(UpperCAmelCase__, UpperCAmelCase__, UpperCAmelCase__     )
                print(F"""Added edge [{u} - {v}]\nAdded weight: {w}\n"""     )
                num_of_components -= 1

       __lowercase								=						[-1] * self.m_num_of_nodes
    print(F"""The total weight of the minimal spanning tree is: {mst_weight}"""     )







def   _A  (  )     ->						None:
   '''simple docstring'''




if __name__ == "__main__":
   import doctest

   doctest.testmod()




