from __future__ import annotations

from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray
def  snake_case						(__lowercase ,      __lowercase ,      __lowercase = False						)	->	Dict:

						'''simple docstring'''



						if radian_mode:
												return [magnitude * cos(_A						), magnitude * sin(_A						)]
						return [magnitude * cos(radians(_A						)						), magnitude * sin(radians(_A						)						)]
def  snake_case						(__lowercase ,      __lowercase ,      __lowercase = 10**-1						)	->	Dict:

						'''simple docstring'''



						_snake_case						:					NDArray[floataa]    =   cross(_A ,      _A						)
						_snake_case						:					float    =   sum(_A						)
						return abs(_A						) < eps


if __name__ == "__main__":
						# Test to check if it works
						__SCREAMING_SNAKE_CASE						:   Tuple         =			array(
						    [
						        polar_force(7_1_8.4, 1_8_0 - 3_0),
						        polar_force(8_7_9.5_4, 4_5),
						        polar_force(1_0_0, -9_0),
						    ]
						)

						__SCREAMING_SNAKE_CASE						:   NDArray[floataa]         =			array([[0, 0], [0, 0], [0, 0]])

						assert in_static_equilibrium(forces, location)

						# Problem 1 in image_data/2D_problems.jpg
						__SCREAMING_SNAKE_CASE						:   List[Any]         =			array(
						    [
						        polar_force(3_0 * 9.81, 1_5),
						        polar_force(2_1_5, 1_8_0 - 4_5),
						        polar_force(2_6_4, 9_0 - 3_0),
						    ]
						)

						__SCREAMING_SNAKE_CASE						:   Union[str, Any]         =			array([[0, 0], [0, 0], [0, 0]])

						assert in_static_equilibrium(forces, location)

						# Problem in image_data/2D_problems_1.jpg
						__SCREAMING_SNAKE_CASE						:   Optional[Any]         =			array([[0, -2_0_0_0], [0, -1_2_0_0], [0, 1_5_6_0_0], [0, -1_2_4_0_0]])

						__SCREAMING_SNAKE_CASE						:   Any         =			array([[0, 0], [6, 0], [1_0, 0], [1_2, 0]])

						assert in_static_equilibrium(forces, location)

						import doctest

						doctest.testmod()
from __future__ import annotations

import requests

__SCREAMING_SNAKE_CASE						:   Tuple         =			set(
    'approved_at_utc approved_by author_flair_background_color\nauthor_flair_css_class author_flair_richtext author_flair_template_id author_fullname\nauthor_premium can_mod_post category clicked content_categories created_utc downs\nedited gilded gildings hidden hide_score is_created_from_ads_ui is_meta\nis_original_content is_reddit_media_domain is_video link_flair_css_class\nlink_flair_richtext link_flair_text link_flair_text_color media_embed mod_reason_title\nname permalink pwls quarantine saved score secure_media secure_media_embed selftext\nsubreddit subreddit_name_prefixed subreddit_type thumbnail title top_awarded_type\ntotal_awards_received ups upvote_ratio url user_reports'.split()
)
def  snake_case						(__lowercase ,      __lowercase = 1 ,      __lowercase = "new" ,      __lowercase = None						)	->	dict:

						'''simple docstring'''



						_snake_case						:					Union[str, Any]    =   wanted_data or []
						if invalid_search_terms := ", ".join(sorted(set(__lowercase						) - valid_terms						)						):
												_snake_case						:					List[str]    =   F"""Invalid search term: {invalid_search_terms}"""
												raise ValueError(__lowercase						)
						_snake_case						:					Any    =   requests.get(
						    F"""https://reddit.com/r/{subreddit}/{age}.json?limit={limit}""" ,      headers={"User-agent": "A random string"} ,      )
						if response.status_code == 429:
												raise requests.HTTPError

						_snake_case						:					Optional[int]    =   response.json()
						if not wanted_data:
												return {id_: data["data"]["children"][id_] for id_ in range(__lowercase						)}

						_snake_case						:					Union[str, Any]    =   {}
						for id_ in range(__lowercase						):
												_snake_case						:					Dict    =   {
												    item: data["data"]["children"][id_]["data"][item] for item in wanted_data
												}
						return data_dict


if __name__ == "__main__":
				# If you get Error 429, that means you are rate limited.Try after some time
				print(get_subreddit_data('learnpython', wanted_data=['title', 'url', 'selftext']))