
"""simple docstring"""





import importlib.metadata
import sys

from transformers.testing_utils import TestCasePlus
from transformers.utils.versions import require_version, require_version_core


_a									=				importlib.metadata.version('numpy')
_a									=				'.'.join([str(x) for x in sys.version_info[:3]])


class A_      (lowercase__ ):




  '''simple docstring'''







  def 			UpperCamelCase__   (						self    ):

     """simple docstring"""
     # lt + different version strings
     require_version_core("numpy<1000.4.5"    )
     require_version_core("numpy<1000.4"    )
     require_version_core("numpy<1000"    )

     # le
     require_version_core("numpy<=1000.4.5"    )
     require_version_core(F"""numpy<={numpy_ver}"""    )

     # eq
     require_version_core(F"""numpy=={numpy_ver}"""    )

     # ne
     require_version_core("numpy!=1000.4.5"    )

     # ge
     require_version_core("numpy>=1.0"    )
     require_version_core("numpy>=1.0.0"    )
     require_version_core(F"""numpy>={numpy_ver}"""    )

     # gt
     require_version_core("numpy>1.0.0"    )

     # mix
     require_version_core("numpy>1.0.0,<1000"    )

     # requirement w/o version
     require_version_core("numpy"    )

     # unmet requirements due to version conflict
     for req in ["numpy==1.0.0", "numpy>=1000.0.0", F"""numpy<{numpy_ver}"""]:
        try:
           require_version_core(lowercase_    )
        except ImportError as e:
           self.assertIn(F"""{req} is required"""							,  str(lowercase_    )    )
           self.assertIn("but found"							,  str(lowercase_    )    )

        # unmet requirements due to missing module
     for req in ["numpipypie>1", "numpipypie2"]:
        try:
           require_version_core(lowercase_    )
        except importlib.metadata.PackageNotFoundError as e:
           self.assertIn(F"""The '{req}' distribution was not found and is required by this application"""							,  str(lowercase_    )    )
           self.assertIn("Try: pip install transformers -U"							,  str(lowercase_    )    )

        # bogus requirements formats:
        # 1. whole thing
     for req in ["numpy??1.0.0", "numpy1.0.0"]:
        try:
           require_version_core(lowercase_    )
        except ValueError as e:
           self.assertIn("requirement needs to be in the pip package format"							,  str(lowercase_    )    )
        # 2. only operators
     for req in ["numpy=1.0.0", "numpy == 1.00", "numpy<>1.0.0", "numpy><1.00", "numpy>>1.0.0"]:
        try:
           require_version_core(lowercase_    )
        except ValueError as e:
           self.assertIn("need one of "							,  str(lowercase_    )    )







  def 			UpperCamelCase__   (						self    ):

     """simple docstring"""
     # matching requirement
     require_version("python>=3.6.0"    )

     # not matching requirements
     for req in ["python>9.9.9", "python<3.0.0"]:
        try:
           require_version_core(lowercase_    )
        except ImportError as e:
           self.assertIn(F"""{req} is required"""							,  str(lowercase_    )    )
           self.assertIn(F"""but found python=={python_ver}"""							,  str(lowercase_    )    )








from string import ascii_uppercase

def       lowerCAmelCase_      (	lowerCamelCase:							str  ,					lowerCamelCase:							str  ,					lowerCamelCase:							bool = False  ,					lowerCamelCase:							str = ascii_uppercase    )       ->      str:


      '''simple docstring'''




      lowerCamelCase__   	=					keyword.upper()
      lowerCamelCase__   	=					plaintext.upper()
      lowerCamelCase__   	=					set(lowerCamelCase    )

      # create a list of unique characters in the keyword - their order matters
      # it determines how we will map plaintext characters to the ciphertext
      lowerCamelCase__   	=					[]
      for char in keyword:
            if char in alphabet_set and char not in unique_chars:
                  unique_chars.append(lowerCamelCase    )
    # the number of those unique characters will determine the number of rows
      lowerCamelCase__   	=					len(lowerCamelCase    )

      # create a shifted version of the alphabet
      lowerCamelCase__   	=					unique_chars + [
          char for char in alphabet if char not in unique_chars
      ]

      # create a modified alphabet by splitting the shifted alphabet into rows
      lowerCamelCase__   	=					[
          shifted_alphabet[k : k + num_unique_chars_in_keyword]
          for k in range(0  ,					26  ,					lowerCamelCase    )
      ]

      # map the alphabet characters to the modified alphabet characters
      # going 'vertically' through the modified alphabet - consider columns first
      lowerCamelCase__   	=					{}
      lowerCamelCase__   	=					0
      for column in range(lowerCamelCase    ):
            for row in modified_alphabet:
                  # if current row (the last one) is too short, break out of loop
                  if len(lowerCamelCase    ) <= column:
                        break

                  # map current letter to letter in modified alphabet
                  lowerCamelCase__   	=					row[column]
                  letter_index += 1

      if verbose:
            print(lowerCamelCase    )
      # create the encrypted text by mapping the plaintext to the modified alphabet
      return "".join(mapping[char] if char in mapping else char for char in plaintext    )


if __name__ == "__main__":
      # example use
      print(mixed_keyword("""college""", """UNIVERSITY"""))