






'''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        _UpperCAmelCase						(		unittest.TestCase			):




    def 				lowerCAmelCase__				(			self  :       Any			):






       '''simple docstring'''






       lowercase_	:    List[Any]           =     tempfile.mkdtemp()

       # fmt: off
       lowercase_	:    List[str]           =     ["", "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_	:    Optional[Any]           =     dict(zip(a  ,     range(len(a			)			)			)			)
       lowercase_	:    Union[str, Any]           =     ["#version: 0.2", "l o", "lo w</w>", "e r</w>", ""]
       lowercase_	:    List[Any]           =     {"unk_token": "<unk>"}

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

       lowercase_	:    Any           =     {
           "do_resize": True,
           "size": 2_0,
           "do_center_crop": True,
           "crop_size": 1_8,
           "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_	:    List[Any]           =     os.path.join(self.tmpdirname  ,     a			)
       with open(self.image_processor_file  ,     "w"  ,     encoding="utf-8"			) as fp:
          json.dump(a  ,     a			)




    def 				lowerCAmelCase__				(			self  :       int  ,     **a  :       Any			):






       '''simple docstring'''






       return CLIPTokenizer.from_pretrained(self.tmpdirname  ,     pad_token="!"  ,     **a			)




    def 				lowerCAmelCase__				(			self  :       List[Any]  ,     **a  :       str			):






       '''simple docstring'''






       return CLIPTokenizerFast.from_pretrained(self.tmpdirname  ,     pad_token="!"  ,     **a			)




    def 				lowerCAmelCase__				(			self  :       Any  ,     **a  :       Dict			):






       '''simple docstring'''






       return OwlViTImageProcessor.from_pretrained(self.tmpdirname  ,     **a			)




    def 				lowerCAmelCase__				(			self  :       Optional[Any]			):






       '''simple docstring'''






       shutil.rmtree(self.tmpdirname			)




    def 				lowerCAmelCase__				(			self  :       int			):






       '''simple docstring'''






       lowercase_	:    int           =     [np.random.randint(2_5_5  ,     size=(3, 3_0, 4_0_0)  ,     dtype=np.uinta			)]

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

       return image_inputs




    def 				lowerCAmelCase__				(			self  :       Tuple			):






       '''simple docstring'''






       lowercase_	:    List[Any]           =     self.get_tokenizer()
       lowercase_	:    Dict           =     self.get_rust_tokenizer()
       lowercase_	:    str           =     self.get_image_processor()

       lowercase_	:    List[str]           =     OwlViTProcessor(tokenizer=a  ,     image_processor=a			)
       processor_slow.save_pretrained(self.tmpdirname			)
       lowercase_	:    Optional[Any]           =     OwlViTProcessor.from_pretrained(self.tmpdirname  ,     use_fast=a			)

       lowercase_	:    Optional[int]           =     OwlViTProcessor(tokenizer=a  ,     image_processor=a			)
       processor_fast.save_pretrained(self.tmpdirname			)
       lowercase_	:    Optional[int]           =     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  ,     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 				lowerCAmelCase__				(			self  :       List[str]			):






       '''simple docstring'''






       lowercase_	:    List[Any]           =     OwlViTProcessor(tokenizer=self.get_tokenizer()  ,     image_processor=self.get_image_processor()			)
       processor.save_pretrained(self.tmpdirname			)

       lowercase_	:    str           =     self.get_tokenizer(bos_token="(BOS)"  ,     eos_token="(EOS)"			)
       lowercase_	:    Dict           =     self.get_image_processor(do_normalize=a			)

       lowercase_	:    str           =     OwlViTProcessor.from_pretrained(
           self.tmpdirname  ,     bos_token="(BOS)"  ,     eos_token="(EOS)"  ,     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 				lowerCAmelCase__				(			self  :       int			):






       '''simple docstring'''






       lowercase_	:    List[Any]           =     self.get_image_processor()
       lowercase_	:    Optional[int]           =     self.get_tokenizer()

       lowercase_	:    List[str]           =     OwlViTProcessor(tokenizer=a  ,     image_processor=a			)

       lowercase_	:    Any           =     self.prepare_image_inputs()

       lowercase_	:    Any           =     image_processor(a  ,     return_tensors="np"			)
       lowercase_	:    Optional[Any]           =     processor(images=a  ,     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 				lowerCAmelCase__				(			self  :       List[Any]			):






       '''simple docstring'''






       lowercase_	:    Dict           =     self.get_image_processor()
       lowercase_	:    str           =     self.get_tokenizer()

       lowercase_	:    Optional[Any]           =     OwlViTProcessor(tokenizer=a  ,     image_processor=a			)

       lowercase_	:    List[Any]           =     "lower newer"

       lowercase_	:    Dict           =     processor(text=a  ,     return_tensors="np"			)

       lowercase_	:    Optional[int]           =     tokenizer(a  ,     return_tensors="np"			)

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




    def 				lowerCAmelCase__				(			self  :       Tuple			):






       '''simple docstring'''






       lowercase_	:    str           =     self.get_image_processor()
       lowercase_	:    str           =     self.get_tokenizer()

       lowercase_	:    Tuple           =     OwlViTProcessor(tokenizer=a  ,     image_processor=a			)

       lowercase_	:    Optional[int]           =     "lower newer"
       lowercase_	:    Optional[int]           =     self.prepare_image_inputs()

       lowercase_	:    int           =     processor(text=a  ,     images=a			)

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

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




    def 				lowerCAmelCase__				(			self  :       Any			):






       '''simple docstring'''






       lowercase_	:    str           =     "google/owlvit-base-patch32"
       lowercase_	:    Optional[int]           =     OwlViTProcessor.from_pretrained(a			)

       lowercase_	:    Any           =     ["cat", "nasa badge"]
       lowercase_	:    List[Any]           =     processor(text=a			)

       lowercase_	:    Any           =     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(a			):
          processor()




    def 				lowerCAmelCase__				(			self  :       Dict			):






       '''simple docstring'''






       lowercase_	:    int           =     "google/owlvit-base-patch32"
       lowercase_	:    Union[str, Any]           =     OwlViTProcessor.from_pretrained(a			)

       lowercase_	:    Optional[int]           =     [["cat", "nasa badge"], ["person"]]
       lowercase_	:    Dict           =     processor(text=a			)

       lowercase_	:    Tuple           =     1_6
       lowercase_	:    List[Any]           =     len(a			)
       lowercase_	:    Optional[Any]           =     max([len(a			) 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(a			):
          processor()




    def 				lowerCAmelCase__				(			self  :       int			):






       '''simple docstring'''






       lowercase_	:    Optional[int]           =     "google/owlvit-base-patch32"
       lowercase_	:    int           =     OwlViTProcessor.from_pretrained(a			)

       lowercase_	:    Tuple           =     ["cat", "nasa badge"]
       lowercase_	:    Optional[int]           =     processor(text=a			)

       lowercase_	:    Dict           =     1_6
       lowercase_	:    int           =     inputs["input_ids"]
       lowercase_	:    Union[str, Any]           =     [
           [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 				lowerCAmelCase__				(			self  :       str			):






       '''simple docstring'''






       lowercase_	:    List[str]           =     self.get_image_processor()
       lowercase_	:    List[Any]           =     self.get_tokenizer()

       lowercase_	:    Optional[Any]           =     OwlViTProcessor(tokenizer=a  ,     image_processor=a			)

       lowercase_	:    str           =     self.prepare_image_inputs()
       lowercase_	:    List[str]           =     self.prepare_image_inputs()

       lowercase_	:    Union[str, Any]           =     processor(images=a  ,     query_images=a			)

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

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





    def 				lowerCAmelCase__				(			self  :       str			):






       '''simple docstring'''






       lowercase_	:    str           =     self.get_image_processor()
       lowercase_	:    List[Any]           =     self.get_tokenizer()

       lowercase_	:    Any           =     OwlViTProcessor(tokenizer=a  ,     image_processor=a			)

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

       lowercase_	:    Union[str, Any]           =     processor.batch_decode(a			)
       lowercase_	:    List[str]           =     tokenizer.batch_decode(a			)

       self.assertListEqual(a  ,     a			)








'''simple docstring'''
from pathlib import Path
from typing import List

from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import get_tests_dir, is_tool_test
from transformers.tools.agent_types import AGENT_TYPE_MAPPING, AgentAudio, AgentImage, AgentText


if is_torch_available():
 import torch

if is_vision_available():
 from PIL import Image


UpperCamelCase__ =			['text', 'image', 'audio']




def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase							):


   """simple docstring"""




   lowercase_	:    List[Any]           =     []

   for input_type in input_types:
      if input_type == "text":
         inputs.append("Text input"							)
      elif input_type == "image":
         inputs.append(
             Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"							)							) / "000000039769.png"							).resize((512, 512)							)							)
      elif input_type == "audio":
         inputs.append(torch.ones(3000							)							)
      elif isinstance(_UpperCamelCase						,		_UpperCamelCase							):
         inputs.append(create_inputs(_UpperCamelCase							)							)
      else:
         raise ValueError(F"""Invalid type requested: {input_type}"""							)

   return inputs




def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase							):


   """simple docstring"""




   lowercase_	:    Optional[int]           =     []

   for output in outputs:
      if isinstance(_UpperCamelCase						,		(str, AgentText)							):
         output_types.append("text"							)
      elif isinstance(_UpperCamelCase						,		(Image.Image, AgentImage)							):
         output_types.append("image"							)
      elif isinstance(_UpperCamelCase						,		(torch.Tensor, AgentAudio)							):
         output_types.append("audio"							)
      else:
         raise ValueError(F"""Invalid output: {output}"""							)

   return output_types





@is_tool_test
class        _UpperCAmelCase						:




    def 				lowerCAmelCase__				(			self  :       List[Any]			):






       '''simple docstring'''






       self.assertTrue(hasattr(self.tool  ,     "inputs"			)			)
       self.assertTrue(hasattr(self.tool  ,     "outputs"			)			)

       lowercase_	:    Optional[Any]           =     self.tool.inputs
       for _input in inputs:
          if isinstance(_input  ,     a			):
             for __input in _input:
                self.assertTrue(__input in authorized_types			)
          else:
             self.assertTrue(_input in authorized_types			)

       lowercase_	:    Any           =     self.tool.outputs
       for _output in outputs:
          self.assertTrue(_output in authorized_types			)




    def 				lowerCAmelCase__				(			self  :       Any			):






       '''simple docstring'''






       lowercase_	:    List[str]           =     create_inputs(self.tool.inputs			)
       lowercase_	:    List[str]           =     self.tool(*a			)

       # There is a single output
       if len(self.tool.outputs			) == 1:
          lowercase_	:    Union[str, Any]           =     [outputs]

       self.assertListEqual(output_types(a			)  ,     self.tool.outputs			)




    def 				lowerCAmelCase__				(			self  :       List[str]			):






       '''simple docstring'''






       self.assertTrue(hasattr(self.tool  ,     "description"			)			)
       self.assertTrue(hasattr(self.tool  ,     "default_checkpoint"			)			)
       self.assertTrue(self.tool.description.startswith("This is a tool that"			)			)




    def 				lowerCAmelCase__				(			self  :       Any			):






       '''simple docstring'''






       lowercase_	:    Any           =     create_inputs(self.tool.inputs			)
       lowercase_	:    str           =     self.tool(*a			)

       if not isinstance(a  ,     a			):
          lowercase_	:    List[Any]           =     [outputs]

       self.assertEqual(len(a			)  ,     len(self.tool.outputs			)			)

       for output, output_type in zip(a  ,     self.tool.outputs			):
          lowercase_	:    int           =     AGENT_TYPE_MAPPING[output_type]
          self.assertTrue(isinstance(a  ,     a			)			)





    def 				lowerCAmelCase__				(			self  :       Tuple			):






       '''simple docstring'''






       lowercase_	:    Dict           =     create_inputs(self.tool.inputs			)

       lowercase_	:    Optional[int]           =     []

       for _input, input_type in zip(a  ,     self.tool.inputs			):
          if isinstance(a  ,     a			):
             _inputs.append([AGENT_TYPE_MAPPING[_input_type](_input			) for _input_type in input_type]			)
          else:
             _inputs.append(AGENT_TYPE_MAPPING[input_type](_input			)			)

        # Should not raise an error
       lowercase_	:    Any           =     self.tool(*a			)

       if not isinstance(a  ,     a			):
          lowercase_	:    Any           =     [outputs]

       self.assertEqual(len(a			)  ,     len(self.tool.outputs			)			)




