
'''simple docstring'''




from __future__ import annotations







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__ = None						,							snake_case__ = None						,							snake_case__ = False						,							):




    '''simple docstring'''



    A			:  Dict   =		cipher_alphabet or [chr(snake_case__		) for i in range(97						,							123		)]

    # If the argument is None or the user provided an empty dictionary
    if not frequencies_dict:
        # Frequencies of letters in the english language (how much they show up)
        A			:  Union[str, Any]   =		{
            '''a''': 0.0_84_97,
            '''b''': 0.0_14_92,
            '''c''': 0.0_22_02,
            '''d''': 0.0_42_53,
            '''e''': 0.1_11_62,
            '''f''': 0.0_22_28,
            '''g''': 0.0_20_15,
            '''h''': 0.0_60_94,
            '''i''': 0.0_75_46,
            '''j''': 0.0_01_53,
            '''k''': 0.0_12_92,
            '''l''': 0.0_40_25,
            '''m''': 0.0_24_06,
            '''n''': 0.0_67_49,
            '''o''': 0.0_75_07,
            '''p''': 0.0_19_29,
            '''q''': 0.0_00_95,
            '''r''': 0.0_75_87,
            '''s''': 0.0_63_27,
            '''t''': 0.0_93_56,
            '''u''': 0.0_27_58,
            '''v''': 0.0_09_78,
            '''w''': 0.0_25_60,
            '''x''': 0.0_01_50,
            '''y''': 0.0_19_94,
            '''z''': 0.0_00_77,
        }
    else:
        # Custom frequencies dictionary
        A			:  List[Any]   =		frequencies_dict

    if not case_sensitive:
        A			:  List[Any]   =		ciphertext.lower()

    # Chi squared statistic values
    A			:  dict[int, tuple[float, str]]   =		{}

    # cycle through all of the shifts
    for shift in range(len(snake_case__		)		):
        A			:  Optional[Any]   =		''''''

        # decrypt the message with the shift
        for letter in ciphertext:
            try:
                # Try to index the letter in the alphabet
                A			:  List[Any]   =		(alphabet_letters.index(letter.lower()		) - shift) % len(
                    snake_case__		)
                decrypted_with_shift += (
                    alphabet_letters[new_key].upper()
                    if case_sensitive and letter.isupper()
                    else alphabet_letters[new_key]
                )
            except ValueError:
                # Append the character if it isn't in the alphabet
                decrypted_with_shift += letter

        A			:  Dict   =		0.0

        # Loop through each letter in the decoded message with the shift
        for letter in decrypted_with_shift:
            if case_sensitive:
                A			:  Dict   =		letter.lower()
                if letter in frequencies:
                    # Get the amount of times the letter occurs in the message
                    A			:  Optional[Any]   =		decrypted_with_shift.lower().count(snake_case__		)

                    # Get the excepcted amount of times the letter should appear based
                    # on letter frequencies
                    A			:  List[Any]   =		frequencies[letter] * occurrences

                    # Complete the chi squared statistic formula
                    A			:  List[str]   =		((occurrences - expected) ** 2) / expected

                    # Add the margin of error to the total chi squared statistic
                    chi_squared_statistic += chi_letter_value
            else:
                if letter.lower() in frequencies:
                    # Get the amount of times the letter occurs in the message
                    A			:  Union[str, Any]   =		decrypted_with_shift.count(snake_case__		)

                    # Get the excepcted amount of times the letter should appear based
                    # on letter frequencies
                    A			:  List[Any]   =		frequencies[letter] * occurrences

                    # Complete the chi squared statistic formula
                    A			:  int   =		((occurrences - expected) ** 2) / expected

                    # Add the margin of error to the total chi squared statistic
                    chi_squared_statistic += chi_letter_value

        # Add the data to the chi_squared_statistic_values dictionary
        A			:  Any   =		(
            chi_squared_statistic,
            decrypted_with_shift,
        )

    # Get the most likely cipher by finding the cipher with the smallest chi squared
    # statistic
    def chi_squared_statistic_values_sorting_key(snake_case__		) -> tuple[float, str]:
        return chi_squared_statistic_values[key]

    A			:  int   =		min(
        snake_case__						,							key=snake_case__						,							)

    # Get all the data from the most likely cipher (key, decoded message)
    (
        (
        A
    ),    (
        A
    ),    
    )			:  int   =		chi_squared_statistic_values[most_likely_cipher]

    # Return the data on the most likely shift
    return (
        most_likely_cipher,
        most_likely_cipher_chi_squared_value,
        decoded_most_likely_cipher,
    )






'''simple docstring'''




# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import re

from ..utils import cached_file


# docstyle-ignore
lowercase     :							Tuple       						=     '\nHuman: <<task>>\n\nAssistant: '


lowercase     :							Union[str, Any]       						=     'huggingface-tools/default-prompts'
lowercase     :							int       						=     {'chat': 'chat_prompt_template.txt', 'run': 'run_prompt_template.txt'}







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__						,							snake_case__="run"		):




    '''simple docstring'''



    if prompt_or_repo_id is None:
        A			:  List[Any]   =		DEFAULT_PROMPTS_REPO

    # prompt is considered a repo ID when it does not contain any kind of space
    if re.search('''\\s'''						,							snake_case__		) is not None:
        return prompt_or_repo_id

    A			:  int   =		cached_file(
        snake_case__						,							PROMPT_FILES[mode]						,							repo_type='''dataset'''						,							user_agent={'''agent''': agent_name}		)
    with open(snake_case__						,							'''r'''						,							encoding='''utf-8'''		) as f:
        return f.read()




