
"""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 CLIPImageProcessor, CLIPProcessor
@require_vision
class 						SCREAMING_SNAKE_CASE_ (						unittest.TestCase ):




		"""simple docstring"""





		def 	snake_case_     (     self):
				__SCREAMING_SNAKE_CASE            = tempfile.mkdtemp()

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

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

				__SCREAMING_SNAKE_CASE            = {
				    """do_resize""": True,
				    """size""": 2_0,
				    """do_center_crop""": True,
				    """crop_size""": 1_8,
				    """do_normalize""": True,
				    """image_mean""": [0.48_14_54_66, 0.4_57_82_75, 0.40_82_10_73],
				    """image_std""": [0.26_86_29_54, 0.26_13_02_58, 0.27_57_77_11],
				}
				__SCREAMING_SNAKE_CASE            = os.path.join(self.tmpdirname							,  lowercase_)
				with open(self.image_processor_file							,  """w"""							,  encoding="""utf-8""") as fp:
						json.dump(lowercase_							,  lowercase_)




		def 	snake_case_     (     self							,  **lowerCAmelCase__):
				return CLIPTokenizer.from_pretrained(self.tmpdirname							,  **lowercase_)




		def 	snake_case_     (     self							,  **lowerCAmelCase__):
				return CLIPTokenizerFast.from_pretrained(self.tmpdirname							,  **lowercase_)




		def 	snake_case_     (     self							,  **lowerCAmelCase__):
				return CLIPImageProcessor.from_pretrained(self.tmpdirname							,  **lowercase_)




		def 	snake_case_     (     self):
				shutil.rmtree(self.tmpdirname)




		def 	snake_case_     (     self):
				__SCREAMING_SNAKE_CASE            = [np.random.randint(2_5_5							,  size=(3, 3_0, 4_0_0)							,  dtype=np.uinta)]

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

				return image_inputs




		def 	snake_case_     (     self):
				__SCREAMING_SNAKE_CASE            = self.get_tokenizer()
				__SCREAMING_SNAKE_CASE            = self.get_rust_tokenizer()
				__SCREAMING_SNAKE_CASE            = self.get_image_processor()

				__SCREAMING_SNAKE_CASE            = CLIPProcessor(tokenizer=lowercase_							,  image_processor=lowercase_)
				processor_slow.save_pretrained(self.tmpdirname)
				__SCREAMING_SNAKE_CASE            = CLIPProcessor.from_pretrained(self.tmpdirname							,  use_fast=lowercase_)

				__SCREAMING_SNAKE_CASE            = CLIPProcessor(tokenizer=lowercase_							,  image_processor=lowercase_)
				processor_fast.save_pretrained(self.tmpdirname)
				__SCREAMING_SNAKE_CASE            = CLIPProcessor.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							,  lowercase_)
				self.assertIsInstance(processor_fast.tokenizer							,  lowercase_)

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




		def 	snake_case_     (     self):
				__SCREAMING_SNAKE_CASE            = CLIPProcessor(tokenizer=self.get_tokenizer()							,  image_processor=self.get_image_processor())
				processor.save_pretrained(self.tmpdirname)

				__SCREAMING_SNAKE_CASE            = self.get_tokenizer(bos_token="""(BOS)"""							,  eos_token="""(EOS)""")
				__SCREAMING_SNAKE_CASE            = self.get_image_processor(do_normalize=lowercase_							,  padding_value=1.0)

				__SCREAMING_SNAKE_CASE            = CLIPProcessor.from_pretrained(
				    self.tmpdirname							,  bos_token="""(BOS)"""							,  eos_token="""(EOS)"""							,  do_normalize=lowercase_							,  padding_value=1.0)

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

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




		def 	snake_case_     (     self):
				__SCREAMING_SNAKE_CASE            = self.get_image_processor()
				__SCREAMING_SNAKE_CASE            = self.get_tokenizer()

				__SCREAMING_SNAKE_CASE            = CLIPProcessor(tokenizer=lowercase_							,  image_processor=lowercase_)

				__SCREAMING_SNAKE_CASE            = self.prepare_image_inputs()

				__SCREAMING_SNAKE_CASE            = image_processor(lowercase_							,  return_tensors="""np""")
				__SCREAMING_SNAKE_CASE            = processor(images=lowercase_							,  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 	snake_case_     (     self):
				__SCREAMING_SNAKE_CASE            = self.get_image_processor()
				__SCREAMING_SNAKE_CASE            = self.get_tokenizer()

				__SCREAMING_SNAKE_CASE            = CLIPProcessor(tokenizer=lowercase_							,  image_processor=lowercase_)

				__SCREAMING_SNAKE_CASE            = """lower newer"""

				__SCREAMING_SNAKE_CASE            = processor(text=lowercase_)

				__SCREAMING_SNAKE_CASE            = tokenizer(lowercase_)

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




		def 	snake_case_     (     self):
				__SCREAMING_SNAKE_CASE            = self.get_image_processor()
				__SCREAMING_SNAKE_CASE            = self.get_tokenizer()

				__SCREAMING_SNAKE_CASE            = CLIPProcessor(tokenizer=lowercase_							,  image_processor=lowercase_)

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

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

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

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




		def 	snake_case_     (     self):
				__SCREAMING_SNAKE_CASE            = self.get_image_processor()
				__SCREAMING_SNAKE_CASE            = self.get_tokenizer()

				__SCREAMING_SNAKE_CASE            = CLIPProcessor(tokenizer=lowercase_							,  image_processor=lowercase_)

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

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

				self.assertListEqual(lowercase_							,  lowercase_)




		def 	snake_case_     (     self):
				__SCREAMING_SNAKE_CASE            = self.get_image_processor()
				__SCREAMING_SNAKE_CASE            = self.get_tokenizer()

				__SCREAMING_SNAKE_CASE            = CLIPProcessor(tokenizer=lowercase_							,  image_processor=lowercase_)

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

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

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











'''simple docstring'''

# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works
from ...utils import deprecate
from ..controlnet.multicontrolnet import MultiControlNetModel  # noqa: F401
from ..controlnet.pipeline_controlnet import StableDiffusionControlNetPipeline  # noqa: F401


deprecate(
    "stable diffusion controlnet",
    "0.22.0",
    "Importing `StableDiffusionControlNetPipeline` or `MultiControlNetModel` from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_controlnet is deprecated. Please import `from diffusers import StableDiffusionControlNetPipeline` instead.",
    standard_warn=False,
    stacklevel=3,
)



