import hashlib
import importlib.util
import json
import os
import pathlib
from types import ModuleType

import pytest
import requests

A_:      Tuple        =			pathlib.Path.cwd().joinpath('project_euler')
A_:      str        =			pathlib.Path.cwd().joinpath(
    'scripts', 'project_euler_answers.json'
)

with open(PROJECT_EULER_ANSWERS_PATH) as file_handle:
				A_:      dict[str, str]        =			json.load(file_handle)


def 					__lowerCAmelCase			(  _A					):



							"""simple docstring"""


							_lowercase				=	importlib.util.spec_from_file_location(file_path.name ,str(_A					)					)
							_lowercase				=	importlib.util.module_from_spec(_A					)  # type: ignore
							spec.loader.exec_module(_A					)  # type: ignore
							return module


def 					__lowerCAmelCase			(  ):



							"""simple docstring"""


							_lowercase				=	[]
							for problem_dir_path in PROJECT_EULER_DIR_PATH.iterdir():
														if problem_dir_path.is_file() or problem_dir_path.name.startswith("""_"""					):
																					continue
														for file_path in problem_dir_path.iterdir():
																					if file_path.suffix != ".py" or file_path.name.startswith(("""_""", """test""")					):
																												continue
																					solution_file_paths.append(_A					)
							return solution_file_paths


def 					__lowerCAmelCase			(  ):



							"""simple docstring"""


							with open(os.environ["""GITHUB_EVENT_PATH"""]					) as file:
														_lowercase				=	json.load(_A					)
							return event["pull_request"]["url"] + "/files"


def 					__lowerCAmelCase			(  ):



							"""simple docstring"""


							_lowercase				=	[]
							_lowercase				=	{
							    """Accept""": """application/vnd.github.v3+json""",
							    """Authorization""": """token """ + os.environ["""GITHUB_TOKEN"""],
							}
							_lowercase				=	requests.get(get_files_url() ,headers=_A					).json()
							for file in files:
														_lowercase				=	pathlib.Path.cwd().joinpath(file["""filename"""]					)
														if (
														    filepath.suffix != ".py"
														    or filepath.name.startswith(("""_""", """test""")					)
														    or not filepath.name.startswith("""sol"""					)
														):
																					continue
														solution_file_paths.append(_A					)
							return solution_file_paths


def 					__lowerCAmelCase			(  ):



							"""simple docstring"""


							if os.environ.get("""CI"""					) and os.environ.get("""GITHUB_EVENT_NAME"""					) == "pull_request":
														# Return only if there are any, otherwise default to all solutions
														if filepaths := added_solution_file_path():
																					return filepaths
							return all_solution_file_paths()







@pytest.mark.parametrize(
    """solution_path""" ,collect_solution_file_paths() ,ids=lambda _A					: f'''{path.parent.name}/{path.name}''' ,)
def 					__lowerCAmelCase			(  _A					):



							"""simple docstring"""


							_lowercase				=	solution_path.parent.name[8:].zfill(3					)
							_lowercase				=	PROBLEM_ANSWERS[problem_number]
							_lowercase				=	convert_path_to_module(_A					)
							_lowercase				=	str(solution_module.solution()					)  # type: ignore
							_lowercase				=	hashlib.shaaaa(answer.encode()					).hexdigest()
							assert (
							    answer == expected
							), f'''Expected solution to {problem_number} to have hash {expected}, got {answer}'''



import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
				from PIL import Image

				from transformers import AutoProcessor, BertTokenizer, CLIPImageProcessor, GitProcessor, PreTrainedTokenizerFast


@require_vision
class _lowercase					(       unittest.TestCase						):





							"""simple docstring"""




							def     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






														_lowercase				=	tempfile.mkdtemp()

														_lowercase				=	CLIPImageProcessor()
														_lowercase				=	BertTokenizer.from_pretrained(
														    """hf-internal-testing/tiny-random-BertModel"""     ,   model_input_names=["""input_ids""", """attention_mask"""]  )

														_lowercase				=	GitProcessor(UpperCAmelCase     ,   UpperCAmelCase  )

														processor.save_pretrained(self.tmpdirname  )



							def     _UpperCAmelCase       (    self     ,   **UpperCAmelCase  ):







														'''simple docstring'''






														return AutoProcessor.from_pretrained(self.tmpdirname     ,   **UpperCAmelCase  ).tokenizer



							def     _UpperCAmelCase       (    self     ,   **UpperCAmelCase  ):







														'''simple docstring'''






														return AutoProcessor.from_pretrained(self.tmpdirname     ,   **UpperCAmelCase  ).image_processor



							def     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






														shutil.rmtree(self.tmpdirname  )



							def     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






														_lowercase				=	[np.random.randint(255     ,   size=(3, 30, 400)     ,   dtype=np.uinta  )]

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

														return image_inputs



							def     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






														_lowercase				=	GitProcessor(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     ,   padding_value=1.0  )

														_lowercase				=	GitProcessor.from_pretrained(
														    self.tmpdirname     ,   bos_token="""(BOS)"""     ,   eos_token="""(EOS)"""     ,   do_normalize=UpperCAmelCase     ,   padding_value=1.0  )

														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     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






														_lowercase				=	self.get_image_processor()
														_lowercase				=	self.get_tokenizer()

														_lowercase				=	GitProcessor(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_feat_extract.keys():
																					self.assertAlmostEqual(input_feat_extract[key].sum()     ,   input_processor[key].sum()     ,   delta=1e-2  )



							def     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






														_lowercase				=	self.get_image_processor()
														_lowercase				=	self.get_tokenizer()

														_lowercase				=	GitProcessor(tokenizer=UpperCAmelCase     ,   image_processor=UpperCAmelCase  )

														_lowercase				=	"""lower newer"""

														_lowercase				=	processor(text=UpperCAmelCase  )

														_lowercase				=	tokenizer(UpperCAmelCase     ,   return_token_type_ids=UpperCAmelCase  )

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



							def     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






														_lowercase				=	self.get_image_processor()
														_lowercase				=	self.get_tokenizer()

														_lowercase				=	GitProcessor(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     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






														_lowercase				=	self.get_image_processor()
														_lowercase				=	self.get_tokenizer()

														_lowercase				=	GitProcessor(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  )



							def     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






														_lowercase				=	self.get_image_processor()
														_lowercase				=	self.get_tokenizer()

														_lowercase				=	GitProcessor(tokenizer=UpperCAmelCase     ,   image_processor=UpperCAmelCase  )

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

														_lowercase				=	processor(text=UpperCAmelCase     ,   images=UpperCAmelCase  )

														# For now the processor supports only ['input_ids', 'attention_mask', 'pixel_values']
														self.assertListEqual(list(inputs.keys()  )     ,   ["""input_ids""", """attention_mask""", """pixel_values"""]  )


