import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin





class UpperCAmelCase						( __A ,	unittest.TestCase  ):


				'''simple docstring'''






				lowerCamelCase_    = CTRLTokenizer
				lowerCamelCase_    = False
				lowerCamelCase_    = False
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						super().setUp()

						# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
						A_		:    List[str]         =				['adapt', 're@@', 'a@@', 'apt', 'c@@', 't', '<unk>']
						A_		:    List[Any]         =				dict(zip(lowercase		,     range(len(lowercase ) ) ) )
						A_		:    str         =				['#version: 0.2', 'a p', 'ap t</w>', 'r e', 'a d', 'ad apt</w>', '']
						A_		:    int         =				{'unk_token': '<unk>'}

						A_		:    Dict         =				os.path.join(self.tmpdirname		,     VOCAB_FILES_NAMES['vocab_file'] )
						A_		:    Union[str, Any]         =				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 ) )
				def   lowerCAmelCase_       (						self		,     **lowercase ):



						"""simple docstring"""





						kwargs.update(self.special_tokens_map )
						return CTRLTokenizer.from_pretrained(self.tmpdirname		,     **lowercase )
				def   lowerCAmelCase_       (						self		,     lowercase ):



						"""simple docstring"""





						A_		:    Union[str, Any]         =				'adapt react readapt apt'
						A_		:    Union[str, Any]         =				'adapt react readapt apt'
						return input_text, output_text







				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    int         =				CTRLTokenizer(self.vocab_file		,     self.merges_file		,     **self.special_tokens_map )
						A_		:    Optional[int]         =				'adapt react readapt apt'
						A_		:    Optional[int]         =				'adapt re@@ a@@ c@@ t re@@ adapt apt'.split()
						A_		:    int         =				tokenizer.tokenize(lowercase )
						self.assertListEqual(lowercase		,     lowercase )

						A_		:    str         =				tokens + [tokenizer.unk_token]

						A_		:    Optional[int]         =				[0, 1, 2, 4, 5, 1, 0, 3, 6]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase )		,     lowercase )







from __future__ import annotations

import requests

_UpperCAmelCase            =		set(
    """approved_at_utc approved_by author_flair_background_color
author_flair_css_class author_flair_richtext author_flair_template_id author_fullname
author_premium can_mod_post category clicked content_categories created_utc downs
edited gilded gildings hidden hide_score is_created_from_ads_ui is_meta
is_original_content is_reddit_media_domain is_video link_flair_css_class
link_flair_richtext link_flair_text link_flair_text_color media_embed mod_reason_title
name permalink pwls quarantine saved score secure_media secure_media_embed selftext
subreddit subreddit_name_prefixed subreddit_type thumbnail title top_awarded_type
total_awards_received ups upvote_ratio url user_reports""".split()
)




def     UpperCamelCase						(	__lowercase						:			str						,__lowercase						:			int = 1						,__lowercase						:			str = "new"						,__lowercase						:			list | None = None     ):
		'''simple docstring'''




		A_		:    Tuple         =				wanted_data or []
		if invalid_search_terms := ", ".join(sorted(set(__lowercase     ) - valid_terms     )     ):
				A_		:    int         =				f'''Invalid search term: {invalid_search_terms}'''
				raise ValueError(__lowercase     )
		A_		:    Optional[int]         =				requests.get(
		    f'''https://reddit.com/r/{subreddit}/{age}.json?limit={limit}'''						,headers={'User-agent': 'A random string'}						,)
		if response.status_code == 4_29:
				raise requests.HTTPError

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

		A_		:    Union[str, Any]         =				{}
		for id_ in range(__lowercase     ):
				A_		:    List[str]         =				{
				    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"""]))






