
"""simple docstring"""
import json
import os
import shutil
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError

from transformers import AutoConfig, BertConfig, GPTaConfig
from transformers.configuration_utils import PretrainedConfig
from transformers.testing_utils import TOKEN, USER, is_staging_test


sys.path.append(str(Path(__file__).parent.parent / """utils"""))

from test_module.custom_configuration import CustomConfig  # noqa E402


_a      :			List[Any]					=							{
    """return_dict""": False,
    """output_hidden_states""": True,
    """output_attentions""": True,
    """torchscript""": True,
    """torch_dtype""": """float16""",
    """use_bfloat16""": True,
    """tf_legacy_loss""": True,
    """pruned_heads""": {"""a""": 1},
    """tie_word_embeddings""": False,
    """is_decoder""": True,
    """cross_attention_hidden_size""": 128,
    """add_cross_attention""": True,
    """tie_encoder_decoder""": True,
    """max_length""": 50,
    """min_length""": 3,
    """do_sample""": True,
    """early_stopping""": True,
    """num_beams""": 3,
    """num_beam_groups""": 3,
    """diversity_penalty""": 0.5,
    """temperature""": 2.0,
    """top_k""": 10,
    """top_p""": 0.7,
    """typical_p""": 0.2,
    """repetition_penalty""": 0.8,
    """length_penalty""": 0.8,
    """no_repeat_ngram_size""": 5,
    """encoder_no_repeat_ngram_size""": 5,
    """bad_words_ids""": [1, 2, 3],
    """num_return_sequences""": 3,
    """chunk_size_feed_forward""": 5,
    """output_scores""": True,
    """return_dict_in_generate""": True,
    """forced_bos_token_id""": 2,
    """forced_eos_token_id""": 3,
    """remove_invalid_values""": True,
    """architectures""": ["""BertModel"""],
    """finetuning_task""": """translation""",
    """id2label""": {0: """label"""},
    """label2id""": {"""label""": """0"""},
    """tokenizer_class""": """BertTokenizerFast""",
    """prefix""": """prefix""",
    """bos_token_id""": 6,
    """pad_token_id""": 7,
    """eos_token_id""": 8,
    """sep_token_id""": 9,
    """decoder_start_token_id""": 10,
    """exponential_decay_length_penalty""": (5, 1.01),
    """suppress_tokens""": [0, 1],
    """begin_suppress_tokens""": 2,
    """task_specific_params""": {"""translation""": """some_params"""},
    """problem_type""": """regression""",
}






@is_staging_test
class      _UpperCAmelCase				(					unittest.TestCase):
       @classmethod
       def 					lowerCamelCase__	(    cls     ):
         _snake_case     :						Union[str, Any]						=   TOKEN
         HfFolder.save_token(snake_case_     )
       @classmethod
       def 					lowerCamelCase__	(    cls     ):
         try:
           delete_repo(token=cls._token						,    repo_id="test-config"     )
         except HTTPError:
           pass

         try:
           delete_repo(token=cls._token						,    repo_id="valid_org/test-config-org"     )
         except HTTPError:
           pass

         try:
           delete_repo(token=cls._token						,    repo_id="test-dynamic-config"     )
         except HTTPError:
           pass
       def 					lowerCamelCase__	(    self     ):
         _snake_case     :						str						=   BertConfig(
             vocab_size=99						,    hidden_size=32						,    num_hidden_layers=5						,    num_attention_heads=4						,    intermediate_size=37     )
         config.push_to_hub("test-config"						,    use_auth_token=self._token     )

         _snake_case     :						List[Any]						=   BertConfig.from_pretrained(F'{USER}/test-config'     )
         for k, v in config.to_dict().items():
           if k != "transformers_version":
             self.assertEqual(snake_case_						,    getattr(snake_case_						,    snake_case_     )     )

           # Reset repo
         delete_repo(token=self._token						,    repo_id="test-config"     )

         # Push to hub via save_pretrained
         with tempfile.TemporaryDirectory() as tmp_dir:
           config.save_pretrained(snake_case_						,    repo_id="test-config"						,    push_to_hub=snake_case_						,    use_auth_token=self._token     )

         _snake_case     :						Tuple						=   BertConfig.from_pretrained(F'{USER}/test-config'     )
         for k, v in config.to_dict().items():
           if k != "transformers_version":
             self.assertEqual(snake_case_						,    getattr(snake_case_						,    snake_case_     )     )
       def 					lowerCamelCase__	(    self     ):
         _snake_case     :						Tuple						=   BertConfig(
             vocab_size=99						,    hidden_size=32						,    num_hidden_layers=5						,    num_attention_heads=4						,    intermediate_size=37     )
         config.push_to_hub("valid_org/test-config-org"						,    use_auth_token=self._token     )

         _snake_case     :						List[Any]						=   BertConfig.from_pretrained("valid_org/test-config-org"     )
         for k, v in config.to_dict().items():
           if k != "transformers_version":
             self.assertEqual(snake_case_						,    getattr(snake_case_						,    snake_case_     )     )

           # Reset repo
         delete_repo(token=self._token						,    repo_id="valid_org/test-config-org"     )

         # Push to hub via save_pretrained
         with tempfile.TemporaryDirectory() as tmp_dir:
           config.save_pretrained(
               snake_case_						,    repo_id="valid_org/test-config-org"						,    push_to_hub=snake_case_						,    use_auth_token=self._token     )

         _snake_case     :						List[Any]						=   BertConfig.from_pretrained("valid_org/test-config-org"     )
         for k, v in config.to_dict().items():
           if k != "transformers_version":
             self.assertEqual(snake_case_						,    getattr(snake_case_						,    snake_case_     )     )


       def 					lowerCamelCase__	(    self     ):
         CustomConfig.register_for_auto_class()
         _snake_case     :						List[Any]						=   CustomConfig(attribute=42     )

         config.push_to_hub("test-dynamic-config"						,    use_auth_token=self._token     )

         # This has added the proper auto_map field to the config
         self.assertDictEqual(config.auto_map						,    {"AutoConfig": "custom_configuration.CustomConfig"}     )

         _snake_case     :						Optional[int]						=   AutoConfig.from_pretrained(F'{USER}/test-dynamic-config'						,    trust_remote_code=snake_case_     )
         # Can't make an isinstance check because the new_config is from the FakeConfig class of a dynamic module
         self.assertEqual(new_config.__class__.__name__						,    "CustomConfig"     )
         self.assertEqual(new_config.attribute						,    42     )






class      _UpperCAmelCase				(					unittest.TestCase):
       def 					lowerCamelCase__	(    self     ):
         _snake_case     :						List[Any]						=   GPTaConfig()

         # attempt to modify each of int/float/bool/str config records and verify they were updated
         _snake_case     :						Optional[Any]						=   c.n_embd + 1  # int
         _snake_case     :						Tuple						=   c.resid_pdrop + 1.0  # float
         _snake_case     :						int						=   not c.scale_attn_weights  # bool
         _snake_case     :						str						=   c.summary_type + "foo"  # str
         c.update_from_string(
             F'n_embd={n_embd},resid_pdrop={resid_pdrop},scale_attn_weights={scale_attn_weights},summary_type={summary_type}'     )
         self.assertEqual(snake_case_						,    c.n_embd						,    "mismatch for key: n_embd"     )
         self.assertEqual(snake_case_						,    c.resid_pdrop						,    "mismatch for key: resid_pdrop"     )
         self.assertEqual(snake_case_						,    c.scale_attn_weights						,    "mismatch for key: scale_attn_weights"     )
         self.assertEqual(snake_case_						,    c.summary_type						,    "mismatch for key: summary_type"     )
       def 					lowerCamelCase__	(    self     ):
         _snake_case     :						List[Any]						=   PretrainedConfig()
         _snake_case     :						Optional[int]						=   [key for key in base_config.__dict__ if key not in config_common_kwargs]
         # If this part of the test fails, you have arguments to addin config_common_kwargs above.
         self.assertListEqual(
             snake_case_						,    ["is_encoder_decoder", "_name_or_path", "_commit_hash", "transformers_version"]     )
         _snake_case     :						int						=   [key for key, value in config_common_kwargs.items() if value == getattr(snake_case_						,    snake_case_     )]
         if len(snake_case_     ) > 0:
           raise ValueError(
               "The following keys are set with the default values in"
               " `test_configuration_common.config_common_kwargs` pick another value for them:"
               F' {", ".join(snake_case_     )}.'     )
       def 					lowerCamelCase__	(    self     ):
         with self.assertRaises(snake_case_     ):
           # config is in subfolder, the following should not work without specifying the subfolder
           _snake_case     :						Optional[int]						=   BertConfig.from_pretrained("hf-internal-testing/tiny-random-bert-subfolder"     )

         _snake_case     :						Any						=   BertConfig.from_pretrained("hf-internal-testing/tiny-random-bert-subfolder"						,    subfolder="bert"     )

         self.assertIsNotNone(snake_case_     )
       def 					lowerCamelCase__	(    self     ):
         # A mock response for an HTTP head request to emulate server down
         _snake_case     :						Optional[int]						=   mock.Mock()
         _snake_case     :						Dict						=   5_00
         _snake_case     :						Union[str, Any]						=   {}
         _snake_case     :						List[Any]						=   HTTPError
         _snake_case     :						Union[str, Any]						=   {}

         # Download this model to make sure it's in the cache.
         _snake_case     :						Optional[Any]						=   BertConfig.from_pretrained("hf-internal-testing/tiny-random-bert"     )

         # Under the mock environment we get a 500 error when trying to reach the model.
         with mock.patch("requests.Session.request"						,    return_value=snake_case_     ) as mock_head:
           _snake_case     :						str						=   BertConfig.from_pretrained("hf-internal-testing/tiny-random-bert"     )
           # This check we did call the fake head request
           mock_head.assert_called()
       def 					lowerCamelCase__	(    self     ):
         # This test is for deprecated behavior and can be removed in v5
         _snake_case     :						Union[str, Any]						=   BertConfig.from_pretrained(
             "https://huggingface.co/hf-internal-testing/tiny-random-bert/resolve/main/config.json"     )
       def 					lowerCamelCase__	(    self     ):
         _snake_case     :						Union[str, Any]						=   AutoConfig.from_pretrained("bert-base-cased"     )
         _snake_case     :						Dict						=   ["config.4.0.0.json"]

         with tempfile.TemporaryDirectory() as tmp_dir:
           configuration.save_pretrained(snake_case_     )
           _snake_case     :						Optional[Any]						=   2
           json.dump(configuration.to_dict()						,    open(os.path.join(snake_case_						,    "config.4.0.0.json"     )						,    "w"     )     )

           # This should pick the new configuration file as the version of Transformers is > 4.0.0
           _snake_case     :						List[Any]						=   AutoConfig.from_pretrained(snake_case_     )
           self.assertEqual(new_configuration.hidden_size						,    2     )

           # Will need to be adjusted if we reach v42 and this test is still here.
           # Should pick the old configuration file as the version of Transformers is < 4.42.0
           _snake_case     :						Optional[Any]						=   ["config.42.0.0.json"]
           _snake_case     :						str						=   7_68
           configuration.save_pretrained(snake_case_     )
           shutil.move(os.path.join(snake_case_						,    "config.4.0.0.json"     )						,    os.path.join(snake_case_						,    "config.42.0.0.json"     )     )
           _snake_case     :						Any						=   AutoConfig.from_pretrained(snake_case_     )
           self.assertEqual(new_configuration.hidden_size						,    7_68     )


       def 					lowerCamelCase__	(    self     ):
         # This repo has two configuration files, one for v4.0.0 and above with a different hidden size.
         _snake_case     :						Optional[Any]						=   "hf-internal-testing/test-two-configs"

         import transformers as new_transformers

         _snake_case     :						Tuple						=   "v4.0.0"
         _snake_case     :						Union[str, Any]						=   new_transformers.models.auto.AutoConfig.from_pretrained(
             snake_case_						,    return_unused_kwargs=snake_case_     )
         self.assertEqual(new_configuration.hidden_size						,    2     )
         # This checks `_configuration_file` ia not kept in the kwargs by mistake.
         self.assertDictEqual(snake_case_						,    {}     )

         # Testing an older version by monkey-patching the version in the module it's used.
         import transformers as old_transformers

         _snake_case     :						str						=   "v3.0.0"
         _snake_case     :						Optional[int]						=   old_transformers.models.auto.AutoConfig.from_pretrained(snake_case_     )
         self.assertEqual(old_configuration.hidden_size						,    7_68     )



"""simple docstring"""
from __future__ import annotations

import requests

_a      :			List[str]					=							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 				a__   (   a   :				str       ,     a   :				int = 1       ,     a   :				str = "new"       ,     a   :				list | None = None		):

  """simple docstring"""







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

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

  _snake_case     :						Tuple						=   {}
  for id_ in range(a		):
    _snake_case     :						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"""]))

