




'''simple docstring'''


import inspect
import json
import os
import tempfile
import unittest

from transformers.models.speech_to_text_a import SpeechaTextaTokenizer
from transformers.models.speech_to_text_a.tokenization_speech_to_text_a import VOCAB_FILES_NAMES

from ...test_tokenization_common import TokenizerTesterMixin







class     SCREAMING_SNAKE_CASE						(	snake_case_       ,			unittest.TestCase							):
      __magic_name__     :					List[Any]             =				SpeechaTextaTokenizer
      __magic_name__     :					Optional[Any]             =				False






      def        lowercase_	(   self      :     List[str]					):


           '''simple docstring'''

           super().setUp()

           a_    :       Union[str, Any]    	=     """<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab""".split(""" """					)
           a_    :       str    	=     ["""he re</w> 123""", """here a 1456"""]
           a_    :       Any    	=     dict(zip(lowercase__	,	range(len(lowercase__					)					)					)					)

           a_    :       Dict    	=     {"""pad_token""": """<pad>""", """unk_token""": """<unk>""", """bos_token""": """<s>""", """eos_token""": """</s>"""}

           a_    :       str    	=     tempfile.mkdtemp()
           a_    :       Tuple    	=     os.path.join(self.tmpdirname	,	VOCAB_FILES_NAMES["""vocab_file"""]					)
           a_    :       Optional[int]    	=     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"""					) as fp:
                fp.write("""\n""".join(lowercase__					)					)






      def        lowercase_	(   self      :     str					):


           '''simple docstring'''

           a_    :       Union[str, Any]    	=     list(self.get_tokenizer().get_vocab().keys()					)

           self.assertEqual(vocab_keys[0]	,	"""<s>"""					)
           self.assertEqual(vocab_keys[1]	,	"""<pad>"""					)
           self.assertEqual(vocab_keys[-1]	,	"""vocab"""					)
           self.assertEqual(len(lowercase__					)	,	14					)






      def        lowercase_	(   self      :     Optional[int]					):


           '''simple docstring'''

           self.assertEqual(self.get_tokenizer().vocab_size	,	14					)






      def        lowercase_	(   self      :     Dict					):


           '''simple docstring'''

           a_    :       List[Any]    	=     SpeechaTextaTokenizer.from_pretrained(self.tmpdirname					)

           # make sure @@ is correctly concatenated
           a_    :       List[str]    	=     [4, 6, 8, 7, 10]  # ["here@@", "couple", "words", "of@@", "the"]
           a_    :       Dict    	=     tokenizer.decode(lowercase__					)

           self.assertTrue(output_string == """herecouple words ofthe"""					)






      def        lowercase_	(   self      :     str					):


           '''simple docstring'''

           a_    :       str    	=     SpeechaTextaTokenizer.from_pretrained(self.tmpdirname					)

           with tempfile.TemporaryDirectory() as tmp_dirname:
                tokenizer.save_pretrained(lowercase__					)
                os.remove(os.path.join(lowercase__	,	"""merges.txt"""					)					)

                # load tokenizer without merges file should not throw an error
                a_    :       List[str]    	=     SpeechaTextaTokenizer.from_pretrained(lowercase__					)

           with tempfile.TemporaryDirectory() as tmp_dirname:
                # save tokenizer and load again
                tokenizer.save_pretrained(lowercase__					)
                a_    :       Tuple    	=     SpeechaTextaTokenizer.from_pretrained(lowercase__					)

           self.assertIsNotNone(lowercase__					)






      def        lowercase_	(   self      :     Optional[Any]					):


           '''simple docstring'''

           if not self.test_slow_tokenizer:
                return

           a_    :       Any    	=     inspect.signature(self.tokenizer_class.__init__					)
           a_    :       Dict    	=     self.get_tokenizer()

           for parameter_name, parameter in signature.parameters.items():
                if parameter.default != inspect.Parameter.empty and parameter_name != "merges_file":
                     self.assertIn(lowercase__	,	tokenizer.init_kwargs					)






'''simple docstring'''


import shutil

import requests



def    _SCREAMING_SNAKE_CASE    (			UpperCamelCase__						:				str   ,						UpperCamelCase__						:				bool = False   ,						UpperCamelCase__						:				str = "."							):




     """simple docstring"""


     a_    :       Any    	=     """https://api.nasa.gov/planetary/apod"""
     return requests.get(UpperCamelCase__   ,						params={"""api_key""": api_key}							).json()



def    _SCREAMING_SNAKE_CASE    (			UpperCamelCase__						:				str   ,						UpperCamelCase__						:				str = "."							):




     """simple docstring"""


     a_    :       Tuple    	=     get_apod_data(UpperCamelCase__							)
     a_    :       Tuple    	=     apod_data["""url"""]
     a_    :       Any    	=     img_url.split("""/"""							)[-1]
     a_    :       Tuple    	=     requests.get(UpperCamelCase__   ,						stream=UpperCamelCase__							)

     with open(F"{path}/{img_name}"   ,						"""wb+"""							) as img_file:
          shutil.copyfileobj(response.raw   ,						UpperCamelCase__							)
     del response
     return apod_data



def    _SCREAMING_SNAKE_CASE    (			UpperCamelCase__						:				str							):




     """simple docstring"""


     a_    :       str    	=     """https://images-api.nasa.gov/search"""
     return requests.get(UpperCamelCase__   ,						params={"""q""": query}							).json()


if __name__ == "__main__":
 print(save_apod('YOUR API KEY'))
 lowerCAmelCase_			:     int							    =     get_archive_data('apollo 2011')['collection']['items']
 print(apollo_aaaa_items[0]['data'][0]['description'])
