

"""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    snake_case     (    unittest.TestCase  ):

				def 							lowercase_					(     self							:    List[str])->       str:



						'''simple docstring'''


						__lowerCAmelCase:	Tuple   				=      tempfile.mkdtemp()

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

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

						__lowerCAmelCase:	Optional[int]   				=      {
						    "do_resize": True,
						    "size": 2_0,
						    "do_center_crop": True,
						    "crop_size": 1_8,
						    "do_normalize": True,
						    "image_mean": [0.48145466, 0.4578275, 0.40821073],
						    "image_std": [0.26862954, 0.26130258, 0.27577711],
						}
						__lowerCAmelCase:	Tuple   				=      os.path.join(self.tmpdirname					,  lowercase__)
						with open(self.image_processor_file					,  "w"					,  encoding="utf-8") as fp:
								json.dump(lowercase__					,  lowercase__)

				def 							lowercase_					(     self							:    Tuple					,  **UpperCamelCase__							:    Optional[int])->       Union[str, Any]:



						'''simple docstring'''


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

				def 							lowercase_					(     self							:    Optional[int]					,  **UpperCamelCase__							:    Union[str, Any])->       List[Any]:



						'''simple docstring'''


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

				def 							lowercase_					(     self							:    int					,  **UpperCamelCase__							:    int)->       str:



						'''simple docstring'''


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

				def 							lowercase_					(     self							:    int)->       Union[str, Any]:



						'''simple docstring'''


						shutil.rmtree(self.tmpdirname)

				def 							lowercase_					(     self							:    int)->       Union[str, Any]:



						'''simple docstring'''


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

						__lowerCAmelCase:	Union[str, Any]   				=      [Image.fromarray(np.moveaxis(lowercase__					,  0					,  -1)) for x in image_inputs]

						return image_inputs

				def 							lowercase_					(     self							:    str)->       Optional[int]:



						'''simple docstring'''


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

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

						__lowerCAmelCase:	Any   				=      OwlViTProcessor(tokenizer=lowercase__					,  image_processor=lowercase__)
						processor_fast.save_pretrained(self.tmpdirname)
						__lowerCAmelCase:	str   				=      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					,  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 							lowercase_					(     self							:    List[str])->       Any:



						'''simple docstring'''


						__lowerCAmelCase:	Tuple   				=      OwlViTProcessor(tokenizer=self.get_tokenizer()					,  image_processor=self.get_image_processor())
						processor.save_pretrained(self.tmpdirname)

						__lowerCAmelCase:	List[Any]   				=      self.get_tokenizer(bos_token="(BOS)"					,  eos_token="(EOS)")
						__lowerCAmelCase:	int   				=      self.get_image_processor(do_normalize=lowercase__)

						__lowerCAmelCase:	Union[str, Any]   				=      OwlViTProcessor.from_pretrained(
						    self.tmpdirname					,  bos_token="(BOS)"					,  eos_token="(EOS)"					,  do_normalize=lowercase__)

						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 							lowercase_					(     self							:    int)->       List[str]:



						'''simple docstring'''


						__lowerCAmelCase:	str   				=      self.get_image_processor()
						__lowerCAmelCase:	Any   				=      self.get_tokenizer()

						__lowerCAmelCase:	Dict   				=      OwlViTProcessor(tokenizer=lowercase__					,  image_processor=lowercase__)

						__lowerCAmelCase:	Optional[int]   				=      self.prepare_image_inputs()

						__lowerCAmelCase:	Tuple   				=      image_processor(lowercase__					,  return_tensors="np")
						__lowerCAmelCase:	Optional[Any]   				=      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 							lowercase_					(     self							:    Union[str, Any])->       List[str]:



						'''simple docstring'''


						__lowerCAmelCase:	Tuple   				=      self.get_image_processor()
						__lowerCAmelCase:	Optional[Any]   				=      self.get_tokenizer()

						__lowerCAmelCase:	int   				=      OwlViTProcessor(tokenizer=lowercase__					,  image_processor=lowercase__)

						__lowerCAmelCase:	Any   				=      "lower newer"

						__lowerCAmelCase:	Union[str, Any]   				=      processor(text=lowercase__					,  return_tensors="np")

						__lowerCAmelCase:	str   				=      tokenizer(lowercase__					,  return_tensors="np")

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

				def 							lowercase_					(     self							:    str)->       int:



						'''simple docstring'''


						__lowerCAmelCase:	Dict   				=      self.get_image_processor()
						__lowerCAmelCase:	List[str]   				=      self.get_tokenizer()

						__lowerCAmelCase:	Any   				=      OwlViTProcessor(tokenizer=lowercase__					,  image_processor=lowercase__)

						__lowerCAmelCase:	int   				=      "lower newer"
						__lowerCAmelCase:	str   				=      self.prepare_image_inputs()

						__lowerCAmelCase:	Any   				=      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 							lowercase_					(     self							:    Optional[int])->       Optional[int]:



						'''simple docstring'''


						__lowerCAmelCase:	List[str]   				=      "google/owlvit-base-patch32"
						__lowerCAmelCase:	Optional[int]   				=      OwlViTProcessor.from_pretrained(lowercase__)

						__lowerCAmelCase:	int   				=      ["cat", "nasa badge"]
						__lowerCAmelCase:	List[str]   				=      processor(text=lowercase__)

						__lowerCAmelCase:	Tuple   				=      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(lowercase__):
								processor()

				def 							lowercase_					(     self							:    List[str])->       Union[str, Any]:



						'''simple docstring'''


						__lowerCAmelCase:	str   				=      "google/owlvit-base-patch32"
						__lowerCAmelCase:	int   				=      OwlViTProcessor.from_pretrained(lowercase__)

						__lowerCAmelCase:	Any   				=      [["cat", "nasa badge"], ["person"]]
						__lowerCAmelCase:	List[str]   				=      processor(text=lowercase__)

						__lowerCAmelCase:	str   				=      1_6
						__lowerCAmelCase:	Any   				=      len(lowercase__)
						__lowerCAmelCase:	List[str]   				=      max([len(lowercase__) 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(lowercase__):
								processor()

				def 							lowercase_					(     self							:    List[Any])->       Any:



						'''simple docstring'''


						__lowerCAmelCase:	Optional[int]   				=      "google/owlvit-base-patch32"
						__lowerCAmelCase:	Optional[Any]   				=      OwlViTProcessor.from_pretrained(lowercase__)

						__lowerCAmelCase:	Optional[int]   				=      ["cat", "nasa badge"]
						__lowerCAmelCase:	Dict   				=      processor(text=lowercase__)

						__lowerCAmelCase:	Optional[int]   				=      1_6
						__lowerCAmelCase:	Tuple   				=      inputs["input_ids"]
						__lowerCAmelCase:	Dict   				=      [
						    [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							:    Optional[int])->       str:



						'''simple docstring'''


						__lowerCAmelCase:	Optional[Any]   				=      self.get_image_processor()
						__lowerCAmelCase:	Union[str, Any]   				=      self.get_tokenizer()

						__lowerCAmelCase:	Tuple   				=      OwlViTProcessor(tokenizer=lowercase__					,  image_processor=lowercase__)

						__lowerCAmelCase:	List[Any]   				=      self.prepare_image_inputs()
						__lowerCAmelCase:	List[str]   				=      self.prepare_image_inputs()

						__lowerCAmelCase:	Optional[int]   				=      processor(images=lowercase__					,  query_images=lowercase__)

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

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




				def 							lowercase_					(     self							:    List[Any])->       Optional[int]:



						'''simple docstring'''


						__lowerCAmelCase:	Union[str, Any]   				=      self.get_image_processor()
						__lowerCAmelCase:	str   				=      self.get_tokenizer()

						__lowerCAmelCase:	str   				=      OwlViTProcessor(tokenizer=lowercase__					,  image_processor=lowercase__)

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

						__lowerCAmelCase:	int   				=      processor.batch_decode(lowercase__)
						__lowerCAmelCase:	Dict   				=      tokenizer.batch_decode(lowercase__)

						self.assertListEqual(lowercase__					,  lowercase__)






"""simple docstring"""


from __future__ import annotations

from decimal import Decimal
from math import *  # noqa: F403

from sympy import diff






def    a__   (   __SCREAMING_SNAKE_CASE ,			__SCREAMING_SNAKE_CASE ,			__SCREAMING_SNAKE_CASE = 1_0**-1_0			)     ->     float:
		__lowerCAmelCase:	Union[str, Any]   				=      a
		while True:
				__lowerCAmelCase:	Optional[int]   				=      Decimal(__SCREAMING_SNAKE_CASE			) - (
				    Decimal(eval(__SCREAMING_SNAKE_CASE			)			) / Decimal(eval(str(diff(__SCREAMING_SNAKE_CASE			)			)			)			)  # noqa: S307
				)
				# This number dictates the accuracy of the answer
				if abs(eval(__SCREAMING_SNAKE_CASE			)			) < precision:  # noqa: S307
						return float(__SCREAMING_SNAKE_CASE			)


# Let's Execute
if __name__ == "__main__":
			# Find root of trigonometric function
			# Find value of pi
			print(F'''The root of sin(x) = 0 is {newton_raphson("sin(x)", 2)}''')
			# Find root of polynomial
			print(F'''The root of x**2 - 5*x + 2 = 0 is {newton_raphson("x**2 - 5*x + 2", 0.4)}''')
			# Find Square Root of 5
			print(F'''The root of log(x) - 1 = 0 is {newton_raphson("log(x) - 1", 2)}''')
			# Exponential Roots
			print(F'''The root of exp(x) - 1 = 0 is {newton_raphson("exp(x) - 1", 0)}''')


