



import pytest

from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.text import TextDatasetReader

from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases





def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase				):
    assert isinstance(__lowerCAmelCase   , __lowerCAmelCase				)
    assert dataset.num_rows == 4
    assert dataset.num_columns == 1
    assert dataset.column_names == ["text"]
    for feature, expected_dtype in expected_features.items():
        assert dataset.features[feature].dtype == expected_dtype





@pytest.mark.parametrize('''keep_in_memory'''   , [False, True]				)
def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase				):
    __a						       =				tmp_path / "cache"
    __a						       =				{"text": "string"}
    with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
        __a						       =				TextDatasetReader(__lowerCAmelCase   , cache_dir=__lowerCAmelCase   , keep_in_memory=__lowerCAmelCase				).read()
    _check_text_dataset(__lowerCAmelCase   , __lowerCAmelCase				)





@pytest.mark.parametrize(
    '''features'''   , [
        None,
        {'''text''': '''string'''},
        {'''text''': '''int32'''},
        {'''text''': '''float32'''},
    ]   , )
def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase				):
    __a						       =				tmp_path / "cache"
    __a						       =				{"text": "string"}
    __a						       =				features.copy() if features else default_expected_features
    __a						       =				(
        Features({feature: Value(__lowerCAmelCase				) for feature, dtype in features.items()}				) if features is not None else None
    )
    __a						       =				TextDatasetReader(__lowerCAmelCase   , features=__lowerCAmelCase   , cache_dir=__lowerCAmelCase				).read()
    _check_text_dataset(__lowerCAmelCase   , __lowerCAmelCase				)





@pytest.mark.parametrize('''split'''   , [None, NamedSplit('''train'''				), '''train''', '''test''']				)
def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase				):
    __a						       =				tmp_path / "cache"
    __a						       =				{"text": "string"}
    __a						       =				TextDatasetReader(__lowerCAmelCase   , cache_dir=__lowerCAmelCase   , split=__lowerCAmelCase				).read()
    _check_text_dataset(__lowerCAmelCase   , __lowerCAmelCase				)
    assert dataset.split == split if split else "train"





@pytest.mark.parametrize('''path_type'''   , [str, list]				)
def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase				):
    if issubclass(__lowerCAmelCase   , __lowerCAmelCase				):
        __a						       =				text_path
    elif issubclass(__lowerCAmelCase   , __lowerCAmelCase				):
        __a						       =				[text_path]
    __a						       =				tmp_path / "cache"
    __a						       =				{"text": "string"}
    __a						       =				TextDatasetReader(__lowerCAmelCase   , cache_dir=__lowerCAmelCase				).read()
    _check_text_dataset(__lowerCAmelCase   , __lowerCAmelCase				)





def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase=("train",)				):
    assert isinstance(__lowerCAmelCase   , __lowerCAmelCase				)
    for split in splits:
        __a						       =				dataset_dict[split]
        assert dataset.num_rows == 4
        assert dataset.num_columns == 1
        assert dataset.column_names == ["text"]
        for feature, expected_dtype in expected_features.items():
            assert dataset.features[feature].dtype == expected_dtype





@pytest.mark.parametrize('''keep_in_memory'''   , [False, True]				)
def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase				):
    __a						       =				tmp_path / "cache"
    __a						       =				{"text": "string"}
    with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
        __a						       =				TextDatasetReader({'''train''': text_path}   , cache_dir=__lowerCAmelCase   , keep_in_memory=__lowerCAmelCase				).read()
    _check_text_datasetdict(__lowerCAmelCase   , __lowerCAmelCase				)





@pytest.mark.parametrize(
    '''features'''   , [
        None,
        {'''text''': '''string'''},
        {'''text''': '''int32'''},
        {'''text''': '''float32'''},
    ]   , )
def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase				):
    __a						       =				tmp_path / "cache"
    # CSV file loses col_1 string dtype information: default now is "int64" instead of "string"
    __a						       =				{"text": "string"}
    __a						       =				features.copy() if features else default_expected_features
    __a						       =				(
        Features({feature: Value(__lowerCAmelCase				) for feature, dtype in features.items()}				) if features is not None else None
    )
    __a						       =				TextDatasetReader({'''train''': text_path}   , features=__lowerCAmelCase   , cache_dir=__lowerCAmelCase				).read()
    _check_text_datasetdict(__lowerCAmelCase   , __lowerCAmelCase				)





@pytest.mark.parametrize('''split'''   , [None, NamedSplit('''train'''				), '''train''', '''test''']				)
def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase				):
    if split:
        __a						       =				{split: text_path}
    else:
        __a						       =				"train"
        __a						       =				{"train": text_path, "test": text_path}
    __a						       =				tmp_path / "cache"
    __a						       =				{"text": "string"}
    __a						       =				TextDatasetReader(__lowerCAmelCase   , cache_dir=__lowerCAmelCase				).read()
    _check_text_datasetdict(__lowerCAmelCase   , __lowerCAmelCase   , splits=list(path.keys()				)				)
    assert all(dataset[split].split == split for split in path.keys()				)









'''simple docstring'''


from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

lowerCamelCase__					=   {'UserAgent': UserAgent().random}






def        __lowerCAmelCase       (__lowerCAmelCase      ):
		_UpperCAmelCase						:				List[str]	    =					script.contents[0]
		_UpperCAmelCase						:				Any	    =					json.loads(data[data.find("{\"config\""      ) : -1]      )
		return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]






class 		lowerCAmelCase__	:




			def __init__(						self     :   str		,     lowerCamelCase__     :   List[Any]       )      ->List[str]:



					'''simple docstring'''







					_UpperCAmelCase						:				List[Any]	    =					F"""https://www.instagram.com/{username}/"""
					_UpperCAmelCase						:				Dict	    =					self.get_json()




			def 							lowerCAmelCase__			(						self     :   Any       )      ->dict:



					'''simple docstring'''







					_UpperCAmelCase						:				Optional[int]	    =					requests.get(self.url		,     headers=lowerCamelCase__       ).text
					_UpperCAmelCase						:				Any	    =					BeautifulSoup(lowerCamelCase__		,     "html.parser"       ).find_all("script"       )
					try:
							return extract_user_profile(scripts[4]       )
					except (json.decoder.JSONDecodeError, KeyError):
							return extract_user_profile(scripts[3]       )




			def __repr__(						self     :   Optional[Any]       )      ->str:



					'''simple docstring'''







					return F"""{self.__class__.__name__}('{self.username}')"""




			def __str__(						self     :   List[Any]       )      ->str:



					'''simple docstring'''







					return F"""{self.fullname} ({self.username}) is {self.biography}"""




			@property
			def 							lowerCAmelCase__			(						self     :   Optional[int]       )      ->str:



					'''simple docstring'''







					return self.user_data["username"]




			@property
			def 							lowerCAmelCase__			(						self     :   Optional[int]       )      ->str:



					'''simple docstring'''







					return self.user_data["full_name"]




			@property
			def 							lowerCAmelCase__			(						self     :   Optional[int]       )      ->str:



					'''simple docstring'''







					return self.user_data["biography"]




			@property
			def 							lowerCAmelCase__			(						self     :   int       )      ->str:



					'''simple docstring'''







					return self.user_data["business_email"]




			@property
			def 							lowerCAmelCase__			(						self     :   str       )      ->str:



					'''simple docstring'''







					return self.user_data["external_url"]




			@property
			def 							lowerCAmelCase__			(						self     :   Tuple       )      ->int:



					'''simple docstring'''







					return self.user_data["edge_followed_by"]["count"]




			@property
			def 							lowerCAmelCase__			(						self     :   str       )      ->int:



					'''simple docstring'''







					return self.user_data["edge_follow"]["count"]




			@property
			def 							lowerCAmelCase__			(						self     :   Any       )      ->int:



					'''simple docstring'''







					return self.user_data["edge_owner_to_timeline_media"]["count"]




			@property
			def 							lowerCAmelCase__			(						self     :   List[Any]       )      ->str:



					'''simple docstring'''







					return self.user_data["profile_pic_url_hd"]




			@property
			def 							lowerCAmelCase__			(						self     :   Optional[Any]       )      ->bool:



					'''simple docstring'''







					return self.user_data["is_verified"]






			@property
			def 							lowerCAmelCase__			(						self     :   int       )      ->bool:



					'''simple docstring'''







					return self.user_data["is_private"]






def        __lowerCAmelCase       (__lowerCAmelCase = "github"      ):
		import os

		if os.environ.get("CI"      ):
				return  # test failing on GitHub Actions
		_UpperCAmelCase						:				Dict	    =					InstagramUser(__lowerCAmelCase      )
		assert instagram_user.user_data
		assert isinstance(instagram_user.user_data					,       __lowerCAmelCase      )
		assert instagram_user.username == username
		if username != "github":
				return
		assert instagram_user.fullname == "GitHub"
		assert instagram_user.biography == "Built for developers."
		assert instagram_user.number_of_posts > 150
		assert instagram_user.number_of_followers > 120_000
		assert instagram_user.number_of_followings > 15
		assert instagram_user.email == "support@github.com"
		assert instagram_user.website == "https://github.com/readme"
		assert instagram_user.profile_picture_url.startswith("https://instagram."      )
		assert instagram_user.is_verified is True
		assert instagram_user.is_private is False


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						lowerCamelCase__					=   InstagramUser('github')
						print(instagram_user)
						print(F'''{instagram_user.number_of_posts = }''')
						print(F'''{instagram_user.number_of_followers = }''')
						print(F'''{instagram_user.number_of_followings = }''')
						print(F'''{instagram_user.email = }''')
						print(F'''{instagram_user.website = }''')
						print(F'''{instagram_user.profile_picture_url = }''')
						print(F'''{instagram_user.is_verified = }''')
						print(F'''{instagram_user.is_private = }''')



