


import os
import textwrap

import pyarrow as pa
import pytest

from datasets import ClassLabel, Features, Image
from datasets.packaged_modules.csv.csv import Csv

from ..utils import require_pil

@pytest.fixture
def 	_a     ( SCREAMING_SNAKE_CASE		: Dict   ):







 """simple docstring"""



 UpperCamelCase__    :			Dict      				=      tmp_path / '''file.csv'''
 UpperCamelCase__    :			Any      				=      textwrap.dedent(
     '''\
        header1,header2
        1,2
        10,20
        '''   )
 with open(lowercase_			,       '''w'''   ) as f:
  f.write(lowercase_   )
 return str(lowercase_   )

@pytest.fixture
def 	_a     ( SCREAMING_SNAKE_CASE		: Dict   ):







 """simple docstring"""



 UpperCamelCase__    :			Union[str, Any]      				=      tmp_path / '''malformed_file.csv'''
 UpperCamelCase__    :			Any      				=      textwrap.dedent(
     '''\
        header1,header2
        1,2
        10,20,
        '''   )
 with open(lowercase_			,       '''w'''   ) as f:
  f.write(lowercase_   )
 return str(lowercase_   )

@pytest.fixture
def 	_a     ( SCREAMING_SNAKE_CASE		: Tuple			,       SCREAMING_SNAKE_CASE		: Any   ):







 """simple docstring"""



 UpperCamelCase__    :			Any      				=      tmp_path / '''csv_with_image.csv'''
 UpperCamelCase__    :			str      				=      textwrap.dedent(
     F"\\n        image\n        {image_file}\n        "   )
 with open(lowercase_			,       '''w'''   ) as f:
  f.write(lowercase_   )
 return str(lowercase_   )

@pytest.fixture
def 	_a     ( SCREAMING_SNAKE_CASE		: Optional[Any]   ):







 """simple docstring"""



 UpperCamelCase__    :			Any      				=      tmp_path / '''csv_with_label.csv'''
 UpperCamelCase__    :			List[str]      				=      textwrap.dedent(
     '''\
        label
        good
        bad
        good
        '''   )
 with open(lowercase_			,       '''w'''   ) as f:
  f.write(lowercase_   )
 return str(lowercase_   )

@pytest.fixture
def 	_a     ( SCREAMING_SNAKE_CASE		: Dict   ):







 """simple docstring"""



 UpperCamelCase__    :			Union[str, Any]      				=      tmp_path / '''csv_with_int_list.csv'''
 UpperCamelCase__    :			Tuple      				=      textwrap.dedent(
     '''\
        int_list
        1 2 3
        4 5 6
        7 8 9
        '''   )
 with open(lowercase_			,       '''w'''   ) as f:
  f.write(lowercase_   )
 return str(lowercase_   )

def 	_a     ( SCREAMING_SNAKE_CASE		: Union[str, Any]			,       SCREAMING_SNAKE_CASE		: Optional[Any]			,       SCREAMING_SNAKE_CASE		: Optional[Any]   ):







 """simple docstring"""



 UpperCamelCase__    :			Optional[int]      				=      Csv()
 UpperCamelCase__    :			List[str]      				=      csv._generate_tables([[csv_file, malformed_csv_file]]   )
 with pytest.raises(lowercase_			,       match='''Error tokenizing data'''   ):
  for _ in generator:
   pass
 assert any(
     record.levelname == '''ERROR'''
     and '''Failed to read file''' in record.message
     and os.path.basename(lowercase_   ) in record.message
     for record in caplog.records   )

@require_pil
def 	_a     ( SCREAMING_SNAKE_CASE		: Dict   ):







 """simple docstring"""



 with open(lowercase_			,       encoding='''utf-8'''   ) as f:
  UpperCamelCase__    :			List[Any]      				=      f.read().splitlines()[1]
 UpperCamelCase__    :			List[str]      				=      Csv(encoding='''utf-8'''			,       features=Features({'''image''': Image()}   )   )
 UpperCamelCase__    :			str      				=      csv._generate_tables([[csv_file_with_image]]   )
 UpperCamelCase__    :			List[str]      				=      pa.concat_tables([table for _, table in generator]   )
 assert pa_table.schema.field('''image'''   ).type == Image()()
 UpperCamelCase__    :			Any      				=      pa_table.to_pydict()['''image''']
 assert generated_content == [{"path": image_file, "bytes": None}]

def 	_a     ( SCREAMING_SNAKE_CASE		: Any   ):







 """simple docstring"""



 with open(lowercase_			,       encoding='''utf-8'''   ) as f:
  UpperCamelCase__    :			Any      				=      f.read().splitlines()[1:]
 UpperCamelCase__    :			str      				=      Csv(encoding='''utf-8'''			,       features=Features({'''label''': ClassLabel(names=['''good''', '''bad''']   )}   )   )
 UpperCamelCase__    :			Union[str, Any]      				=      csv._generate_tables([[csv_file_with_label]]   )
 UpperCamelCase__    :			Dict      				=      pa.concat_tables([table for _, table in generator]   )
 assert pa_table.schema.field('''label'''   ).type == ClassLabel(names=['''good''', '''bad''']   )()
 UpperCamelCase__    :			Tuple      				=      pa_table.to_pydict()['''label''']
 assert generated_content == [ClassLabel(names=['''good''', '''bad''']   ).straint(lowercase_   ) for label in labels]






def 	_a     ( SCREAMING_SNAKE_CASE		: Any   ):







 """simple docstring"""



 UpperCamelCase__    :			Dict      				=      Csv(encoding='''utf-8'''			,       sep=''','''			,       converters={'''int_list''': lambda SCREAMING_SNAKE_CASE   : [int(lowercase_   ) for i in x.split()]}   )
 UpperCamelCase__    :			str      				=      csv._generate_tables([[csv_file_with_int_list]]   )
 UpperCamelCase__    :			Optional[Any]      				=      pa.concat_tables([table for _, table in generator]   )
 assert pa.types.is_list(pa_table.schema.field('''int_list'''   ).type   )
 UpperCamelCase__    :			Dict      				=      pa_table.to_pydict()['''int_list''']
 assert generated_content == [[1, 2, 3], [4, 5, 6], [7, 8, 9]]








def SCREAMING_SNAKE_CASE				(       lowercase_						)   ->       "list[int]":



       """simple docstring"""

       if upper_limit < 0:
              raise ValueError('''Limit for the Catalan sequence must be ≥ 0'''						)

       A__       =    [0] * (upper_limit + 1)

       # Base case: C(0) = C(1) = 1
       A__       =    1
       if upper_limit > 0:
              A__       =    1

       # Recurrence relation: C(i) = sum(C(j).C(i-j-1)), from j = 0 to i
       for i in range(2 ,				upper_limit + 1						):
              for j in range(lowercase_						):
                     catalan_list[i] += catalan_list[j] * catalan_list[i - j - 1]

       return catalan_list


if __name__ == "__main__":
  print("""\n********* Catalan Numbers Using Dynamic Programming ************\n""")
  print("""\n*** Enter -1 at any time to quit ***""")
  print("""\nEnter the upper limit (≥ 0) for the Catalan number sequence: """, end="""""")
  try:
    while True:
      _lowerCamelCase	:		List[Any]							       =   int(input().strip())
      if N < 0:
        print("""\n********* Goodbye!! ************""")
        break
      else:
        print(F'''The Catalan numbers from 0 through {N} are:''')
        print(catalan_numbers(N))
        print("""Try another upper limit for the sequence: """, end="""""")
  except (NameError, ValueError):
    print("""\n********* Invalid input, goodbye! ************\n""")

  import doctest

  doctest.testmod()


