import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import MaMaaaTokenizer, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)
from transformers.utils import is_sentencepiece_available


if is_sentencepiece_available():
						from transformers.models.mam_aaa.tokenization_mam_aaa import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


if is_sentencepiece_available():
						__SCREAMING_SNAKE_CASE						:   str         =			get_tests_dir('fixtures/test_sentencepiece.model')


if is_torch_available():
						from transformers.models.mam_aaa.modeling_mam_aaa import shift_tokens_right

__SCREAMING_SNAKE_CASE						:   Optional[Any]         =			1_2_8_0_2_2
__SCREAMING_SNAKE_CASE						:   List[Any]         =			1_2_8_0_2_8



@require_sentencepiece
class        lowercase_   (					__snake_case						,			unittest.TestCase		):
							_lowerCamelCase						=		MaMaaaTokenizer
							_lowerCamelCase						=		False
							_lowerCamelCase						=		False
							_lowerCamelCase						=		True



							def 	UpperCamelCase	(						self    ):
													super().setUp()

													_snake_case						:					str    =   ["</s>", "<unk>", "▁This", "▁is", "▁a", "▁t", "est", "\u0120", "<pad>"]
													_snake_case						:					Optional[int]    =   dict(zip(lowercase_				,    range(len(lowercase_    )    )    )    )
													_snake_case						:					List[Any]    =   Path(self.tmpdirname    )
													save_json(lowercase_				,    save_dir / VOCAB_FILES_NAMES["vocab_file"]    )
													if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
																			copyfile(lowercase_				,    save_dir / VOCAB_FILES_NAMES["spm_file"]    )

													_snake_case						:					str    =   MaMaaaTokenizer.from_pretrained(self.tmpdirname    )
													tokenizer.save_pretrained(self.tmpdirname    )



							def 	UpperCamelCase	(						self				,    **lowercase_    ):
													return MaMaaaTokenizer.from_pretrained(self.tmpdirname				,    **lowercase_    )



							def 	UpperCamelCase	(						self				,    lowercase_    ):
													return (
													    "This is a test",
													    "This is a test",
													)



							def 	UpperCamelCase	(						self    ):
													_snake_case						:					List[Any]    =   "</s>"
													_snake_case						:					Tuple    =   0

													self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowercase_    )				,    lowercase_    )
													self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowercase_    )				,    lowercase_    )



							def 	UpperCamelCase	(						self    ):
													_snake_case						:					Any    =   self.get_tokenizer()
													_snake_case						:					str    =   list(tokenizer.get_vocab().keys()    )

													self.assertEqual(vocab_keys[0]				,    "</s>"    )
													self.assertEqual(vocab_keys[1]				,    "<unk>"    )
													self.assertEqual(vocab_keys[-1]				,    "<s>"    )
													self.assertEqual(len(lowercase_    )				,    tokenizer.vocab_size + len(tokenizer.get_added_vocab()    )    )



							@unittest.skip("Skip this test while all models are still to be uploaded."    )
							def 	UpperCamelCase	(						self    ):
													pass



							def 	UpperCamelCase	(						self    ):
													_snake_case						:					Optional[int]    =   self.get_tokenizer()

													_snake_case						:					Optional[Any]    =   tokenizer.tokenize("This is a test"    )
													self.assertListEqual(lowercase_				,    ["▁This", "▁is", "▁a", "▁t", "est"]    )

													self.assertListEqual(
													    tokenizer.convert_tokens_to_ids(lowercase_    )				,    [2, 3, 4, 5, 6]				,    )

													_snake_case						:					Dict    =   tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6]    )
													self.assertListEqual(lowercase_				,    ["▁This", "▁is", "▁a", "▁t", "est"]    )

													_snake_case						:					Dict    =   tokenizer.convert_tokens_to_string(lowercase_    )
													self.assertEqual(lowercase_				,    "This is a test"    )



							@slow
							def 	UpperCamelCase	(						self    ):
													# fmt: off
													_snake_case						:					Union[str, Any]    =   {"input_ids": [[128_022, 110_108, 397, 11, 38_272, 2_247, 124_811, 285, 18_105, 1_586, 207, 7, 39_534, 4_428, 397, 1_019, 18_105, 1_586, 207, 7, 41_337, 16_786, 241, 7, 20_214, 17, 125_690, 10_398, 7, 44_378, 58_069, 68_342, 7_798, 7_343, 11, 299, 33_310, 4, 158, 37_350, 94_077, 4_569, 299, 33_310, 90, 4, 52_840, 290, 4, 31_270, 112, 299, 682, 4, 52_840, 39_953, 14_079, 193, 52_519, 90_894, 17_894, 120_697, 11, 40_445, 551, 17, 1_019, 52_519, 90_894, 17_756, 963, 11, 40_445, 480, 17, 9_792, 1_120, 5_173, 1_393, 6_240, 16_786, 241, 120_996, 28, 1_245, 1_393, 118_240, 11_123, 1_019, 93_612, 2_691, 10_618, 98_058, 120_409, 1_928, 279, 4, 40_683, 367, 178, 207, 1_019, 103, 103_121, 506, 65_296, 5, 2], [128_022, 21_217, 367, 117, 125_450, 128, 719, 7, 7_308, 40, 93_612, 12_669, 1_116, 16_704, 71, 17_785, 3_699, 15_592, 35, 144, 9_584, 241, 11_943, 713, 950, 799, 2_247, 88_427, 150, 149, 118_813, 120_706, 1_019, 106_906, 81_518, 28, 1_224, 22_799, 397, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [128_022, 1_658, 123_311, 5_155, 5_578, 4_722, 279, 14_947, 2_366, 1_120, 1_197, 14, 1_348, 9_232, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
													# fmt: on

													self.tokenizer_integration_test_util(
													    expected_encoding=lowercase_				,    model_name="facebook/m2m100_418M"				,    revision="c168bae485c864188cf9aa0e4108b0b6934dc91e"				,    )




@require_torch
@require_sentencepiece
@require_tokenizers
class        lowercase_   (					unittest.TestCase		):
							_lowerCamelCase						=		'facebook/m2m100_418M'
							_lowerCamelCase						=		[
							    'In my opinion, there are two levels of response from the French government.',
							    'NSA Affair Emphasizes Complete Lack of Debate on Intelligence',
							]
							_lowerCamelCase						=		[
							    'Selon moi, il y a deux niveaux de réponse de la part du gouvernement français.',
							    'L\'affaire NSA souligne l\'absence totale de débat sur le renseignement',
							]

							# fmt: off
							_lowerCamelCase						=		[EN_CODE, 593, 1_949, 115_781, 4, 71_586, 4_234, 60_633, 126_233, 432, 123_808, 15_592, 1_197, 117_132, 120_618, 5, 2]



							@classmethod
							def 	UpperCamelCase	(						cls    ):
													_snake_case						:					MaMaaaTokenizer    =   MaMaaaTokenizer.from_pretrained(
													    cls.checkpoint_name				,    src_lang="en"				,    tgt_lang="fr"    )
													_snake_case						:					Union[str, Any]    =   1
													return cls



							def 	UpperCamelCase	(						self    ):
													self.assertEqual(self.tokenizer.get_lang_id("ar"    )				,    128_006    )
													self.assertEqual(self.tokenizer.get_lang_id("en"    )				,    128_022    )
													self.assertEqual(self.tokenizer.get_lang_id("ro"    )				,    128_076    )
													self.assertEqual(self.tokenizer.get_lang_id("mr"    )				,    128_063    )



							def 	UpperCamelCase	(						self    ):
													_snake_case						:					Optional[Any]    =   self.tokenizer.get_vocab()
													self.assertEqual(len(lowercase_    )				,    self.tokenizer.vocab_size    )
													self.assertEqual(vocab["<unk>"]				,    3    )
													self.assertIn(self.tokenizer.get_lang_token("en"    )				,    lowercase_    )



							def 	UpperCamelCase	(						self    ):
													_snake_case						:					List[str]    =   "en"
													_snake_case						:					str    =   self.tokenizer.batch_encode_plus(self.src_text    ).input_ids[0]
													self.assertListEqual(self.expected_src_tokens				,    lowercase_    )



							def 	UpperCamelCase	(						self    ):
													self.assertIn(lowercase_				,    self.tokenizer.all_special_ids    )
													# fmt: off
													_snake_case						:					Tuple    =   [FR_CODE, 5_364, 82, 8_642, 4, 294, 47, 8, 14_028, 136, 3_286, 9_706, 6, 90_797, 6, 144_012, 162, 88_128, 30_061, 5, 2]
													# fmt: on
													_snake_case						:					List[Any]    =   self.tokenizer.decode(lowercase_				,    skip_special_tokens=lowercase_    )
													_snake_case						:					Optional[Any]    =   self.tokenizer.decode(generated_ids[1:]				,    skip_special_tokens=lowercase_    )
													self.assertEqual(lowercase_				,    lowercase_    )
													self.assertNotIn(self.tokenizer.eos_token				,    lowercase_    )



							def 	UpperCamelCase	(						self    ):
													_snake_case						:					str    =   tempfile.mkdtemp()
													_snake_case						:					List[Any]    =   self.tokenizer.lang_token_to_id
													self.tokenizer.save_pretrained(lowercase_    )
													_snake_case						:					Dict    =   MaMaaaTokenizer.from_pretrained(lowercase_    )
													self.assertDictEqual(new_tok.lang_token_to_id				,    lowercase_    )



							@require_torch
							def 	UpperCamelCase	(						self    ):
													_snake_case						:					Union[str, Any]    =   "en"
													_snake_case						:					int    =   "fr"

													_snake_case						:					Dict    =   self.tokenizer(self.src_text				,    text_target=self.tgt_text				,    padding=lowercase_				,    return_tensors="pt"    )

													_snake_case						:					Dict    =   shift_tokens_right(
													    batch["labels"]				,    self.tokenizer.pad_token_id				,    self.tokenizer.eos_token_id    )

													for k in batch:
																			_snake_case						:					int    =   batch[k].tolist()
													# batch = {k: v.tolist() for k,v in batch.items()}
													# fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
													# batch.decoder_inputs_ids[0][0] ==
													assert batch.input_ids[1][0] == EN_CODE
													assert batch.input_ids[1][-1] == 2
													assert batch.labels[1][0] == FR_CODE
													assert batch.labels[1][-1] == 2
													assert batch.decoder_input_ids[1][:2] == [2, FR_CODE]



							@require_torch
							def 	UpperCamelCase	(						self    ):
													_snake_case						:					int    =   "mr"
													self.assertListEqual(self.tokenizer.prefix_tokens				,    [self.tokenizer.get_lang_id("mr"    )]    )
													self.assertListEqual(self.tokenizer.suffix_tokens				,    [self.tokenizer.eos_token_id]    )

													_snake_case						:					List[str]    =   "zh"
													self.assertListEqual(self.tokenizer.prefix_tokens				,    [self.tokenizer.get_lang_id("zh"    )]    )
													self.assertListEqual(self.tokenizer.suffix_tokens				,    [self.tokenizer.eos_token_id]    )



							@require_torch
							def 	UpperCamelCase	(						self    ):
													_snake_case						:					List[Any]    =   "mr"
													self.tokenizer._switch_to_target_mode()
													self.assertListEqual(self.tokenizer.prefix_tokens				,    [self.tokenizer.get_lang_id("mr"    )]    )
													self.assertListEqual(self.tokenizer.suffix_tokens				,    [self.tokenizer.eos_token_id]    )
													self.tokenizer._switch_to_input_mode()
													self.assertListEqual(self.tokenizer.prefix_tokens				,    [self.tokenizer.get_lang_id(self.tokenizer.src_lang    )]    )

													_snake_case						:					List[Any]    =   "zh"
													self.tokenizer._switch_to_target_mode()
													self.assertListEqual(self.tokenizer.prefix_tokens				,    [self.tokenizer.get_lang_id("zh"    )]    )
													self.assertListEqual(self.tokenizer.suffix_tokens				,    [self.tokenizer.eos_token_id]    )
													self.tokenizer._switch_to_input_mode()
													self.assertListEqual(self.tokenizer.prefix_tokens				,    [self.tokenizer.get_lang_id(self.tokenizer.src_lang    )]    )



							@require_torch
							def 	UpperCamelCase	(						self    ):
													_snake_case						:					Any    =   self.tokenizer._build_translation_inputs("A test"				,    return_tensors="pt"				,    src_lang="en"				,    tgt_lang="ar"    )

													self.assertEqual(
													    nested_simplify(lowercase_    )				,    {
													        # en_XX, A, test, EOS
													        "input_ids": [[128_022, 58, 4_183, 2]],
													        "attention_mask": [[1, 1, 1, 1]],
													        # ar_AR
													        "forced_bos_token_id": 128_006,
													    }				,    )
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']))