

import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs






class      lowerCamelCase_      (	_lowercase	):




	def __init__(     self						:     int					,      __A						:     List[str]					,      __A						:     Optional[int]=None					,      __A						:     Any=True					,      __A						:     List[Any]=None					,      **__A						:     List[str]							):
		__A :			str		    =			parent
		__A :			str		    =			config_class
		__A :			List[str]		    =			has_text_modality
		__A :			int		    =			kwargs
		__A :			str		    =			common_properties




	def        lowerCAmelCase_       (     self						:     List[Any]							):
		__A :			List[Any]		    =			self.config_class(**self.inputs_dict							)
		__A :			List[Any]		    =			(
		    ["""hidden_size""", """num_attention_heads""", """num_hidden_layers"""]
		    if self.common_properties is None
		    else self.common_properties
		)

		# Add common fields for text models
		if self.has_text_modality:
			common_properties.extend(["""vocab_size"""]							)

		# Test that config has the common properties as getters
		for prop in common_properties:
			self.parent.assertTrue(hasattr(__A					,      __A							)					,      msg=F"""`{prop}` does not exist"""							)

		# Test that config has the common properties as setter
		for idx, name in enumerate(__A							):
			try:
				setattr(__A					,      __A					,      __A							)
				self.parent.assertEqual(
				    getattr(__A					,      __A							)					,      __A					,      msg=F"""`{name} value {idx} expected, but was {getattr(__A					,      __A							)}"""							)
			except NotImplementedError:
				# Some models might not be able to implement setters for common_properties
				# In that case, a NotImplementedError is raised
				pass

        # Test if config class can be called with Config(prop_name=..)
		for idx, name in enumerate(__A							):
			try:
				__A :			Dict		    =			self.config_class(**{name: idx}							)
				self.parent.assertEqual(
				    getattr(__A					,      __A							)					,      __A					,      msg=F"""`{name} value {idx} expected, but was {getattr(__A					,      __A							)}"""							)
			except NotImplementedError:
				# Some models might not be able to implement setters for common_properties
				# In that case, a NotImplementedError is raised
				pass




	def        lowerCAmelCase_       (     self						:     Optional[int]							):
		__A :			List[str]		    =			self.config_class(**self.inputs_dict							)
		__A :			Optional[Any]		    =			json.loads(config.to_json_string()							)
		for key, value in self.inputs_dict.items():
			self.parent.assertEqual(obj[key]					,      __A							)




	def        lowerCAmelCase_       (     self						:     List[str]							):
		__A :			List[str]		    =			self.config_class(**self.inputs_dict							)

		with tempfile.TemporaryDirectory() as tmpdirname:
			__A :			List[Any]		    =			os.path.join(__A					,      """config.json"""							)
			config_first.to_json_file(__A							)
			__A :			List[str]		    =			self.config_class.from_json_file(__A							)

		self.parent.assertEqual(config_second.to_dict()					,      config_first.to_dict()							)




	def        lowerCAmelCase_       (     self						:     List[Any]							):
		__A :			Tuple		    =			self.config_class(**self.inputs_dict							)

		with tempfile.TemporaryDirectory() as tmpdirname:
			config_first.save_pretrained(__A							)
			__A :			str		    =			self.config_class.from_pretrained(__A							)

		self.parent.assertEqual(config_second.to_dict()					,      config_first.to_dict()							)




	def        lowerCAmelCase_       (     self						:     Optional[int]							):
		__A :			str		    =			self.config_class(**self.inputs_dict							)

		__A :			Dict		    =			"""test"""
		with tempfile.TemporaryDirectory() as tmpdirname:
			__A :			Union[str, Any]		    =			os.path.join(__A					,      __A							)
			config_first.save_pretrained(__A							)
			__A :			Dict		    =			self.config_class.from_pretrained(__A					,      subfolder=__A							)

		self.parent.assertEqual(config_second.to_dict()					,      config_first.to_dict()							)




	def        lowerCAmelCase_       (     self						:     Optional[int]							):
		__A :			Optional[Any]		    =			self.config_class(**self.inputs_dict					,      num_labels=5							)
		self.parent.assertEqual(len(config.idalabel							)					,      5							)
		self.parent.assertEqual(len(config.labelaid							)					,      5							)

		__A :			str		    =			3
		self.parent.assertEqual(len(config.idalabel							)					,      3							)
		self.parent.assertEqual(len(config.labelaid							)					,      3							)




	def        lowerCAmelCase_       (     self						:     Union[str, Any]							):
		if self.config_class.is_composition:
			return
		__A :			List[str]		    =			self.config_class()
		self.parent.assertIsNotNone(__A							)




	def        lowerCAmelCase_       (     self						:     Any							):
		__A :			Optional[Any]		    =			copy.deepcopy(__A							)
		__A :			Optional[int]		    =			self.config_class(**__A							)
		__A :			List[str]		    =			[]
		for key, value in config_common_kwargs.items():
			if key == "torch_dtype":
				if not is_torch_available():
					continue
				else:
					import torch

					if config.torch_dtype != torch.floataa:
						wrong_values.append(("""torch_dtype""", config.torch_dtype, torch.floataa)							)
			elif getattr(__A					,      __A							) != value:
				wrong_values.append((key, getattr(__A					,      __A							), value)							)

		if len(__A							) > 0:
			__A :			Dict		    =			"""\n""".join([F"""- {v[0]}: got {v[1]} instead of {v[2]}""" for v in wrong_values]							)
			raise ValueError(F"""The following keys were not properly set in the config:\n{errors}"""							)




	def        lowerCAmelCase_       (     self						:     Dict							):
		self.create_and_test_config_common_properties()
		self.create_and_test_config_to_json_string()
		self.create_and_test_config_to_json_file()
		self.create_and_test_config_from_and_save_pretrained()
		self.create_and_test_config_from_and_save_pretrained_subfolder()
		self.create_and_test_config_with_num_labels()
		self.check_config_can_be_init_without_params()
		self.check_config_arguments_init()









from __future__ import annotations

import requests

lowerCAmelCase       		=    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     __SCREAMING_SNAKE_CASE							(       lowercase_      ,       lowercase_ = 1      ,       lowercase_ = "new"      ,       lowercase_ = None      )		->     dict:




						'''simple docstring'''







						__UpperCAmelCase			:							Tuple	    =	wanted_data or []
						if invalid_search_terms := ", ".join(sorted(set(lowercase_      ) - valid_terms      )      ):
												__UpperCAmelCase			:							List[Any]	    =	f"Invalid search term: {invalid_search_terms}"
												raise ValueError(lowercase_      )
						__UpperCAmelCase			:							Optional[int]	    =	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

						__UpperCAmelCase			:							List[str]	    =	response.json()
						if not wanted_data:
												return {id_: data["data"]["children"][id_] for id_ in range(lowercase_      )}

						__UpperCAmelCase			:							List[Any]	    =	{}
						for id_ in range(lowercase_      ):
												__UpperCAmelCase			:							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"""]))

