





'''simple docstring'''

from __future__ import annotations





def lowerCamelCase		(  __lowerCamelCase				:					list[int | float]      , __lowerCamelCase				:					int      , __lowerCamelCase				:					int					)		->int | float:
    if len(__lowerCamelCase					) == 0:
        raise ValueError("""find_min() arg is an empty sequence"""					)
    if (
        left >= len(__lowerCamelCase					)
        or left < -len(__lowerCamelCase					)
        or right >= len(__lowerCamelCase					)
        or right < -len(__lowerCamelCase					)
    ):
        raise IndexError("""list index out of range"""					)
    if left == right:
        return nums[left]
    _SCREAMING_SNAKE_CASE             =    (left + right) >> 1  # the middle
    _SCREAMING_SNAKE_CASE             =    find_min(__lowerCamelCase      , __lowerCamelCase      , __lowerCamelCase					)  # find min in range[left, mid]
    _SCREAMING_SNAKE_CASE             =    find_min(__lowerCamelCase      , mid + 1      , __lowerCamelCase					)  # find min in range[mid + 1, right]

    return left_min if left_min <= right_min else right_min


if __name__ == "__main__":
      import doctest

      doctest.testmod(verbose=True)










'''simple docstring'''

# Copyright 2022 The HuggingFace 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 os
from typing import List





def lowerCamelCase		(  __lowerCamelCase				:					List[str]      , __lowerCamelCase				:					str					)		->Tuple:
    if name != "training_function" and name != "main":
        raise ValueError(F'Incorrect function name passed: {name}, choose either \'main\' or \'training_function\''					)
    _SCREAMING_SNAKE_CASE       , _SCREAMING_SNAKE_CASE             =    [], False
    for line in lines:
        if not found_start and F'def {name}' in line:
            _SCREAMING_SNAKE_CASE             =    True
            good_lines.append(__lowerCamelCase					)
            continue
        if found_start:
            if name == "training_function" and "def main" in line:
                return good_lines
            if name == "main" and "if __name__" in line:
                return good_lines
            good_lines.append(__lowerCamelCase					)





def lowerCamelCase		(  __lowerCamelCase				:					List[str]					)		->List[str]:
    return [line for line in lines if not line.lstrip().startswith("""#"""					) and line != "\n"]






def lowerCamelCase		(  __lowerCamelCase				:					str      , __lowerCamelCase				:					str      , __lowerCamelCase				:					bool      , __lowerCamelCase				:					str = None					)		->List[str]:
    with open(__lowerCamelCase      , """r"""					) as f:
        _SCREAMING_SNAKE_CASE             =    f.readlines()
    with open(os.path.abspath(os.path.join("""examples"""      , """nlp_example.py"""					)					)      , """r"""					) as f:
        _SCREAMING_SNAKE_CASE             =    f.readlines()
    with open(__lowerCamelCase      , """r"""					) as f:
        _SCREAMING_SNAKE_CASE             =    f.readlines()
    if secondary_filename is not None:
        with open(__lowerCamelCase      , """r"""					) as f:
            _SCREAMING_SNAKE_CASE             =    f.readlines()

    # This is our base, we remove all the code from here in our `full_filename` and `feature_filename` to find the new content
    if parser_only:
        _SCREAMING_SNAKE_CASE             =    clean_lines(get_function_contents_by_name(__lowerCamelCase      , """main"""					)					)
        _SCREAMING_SNAKE_CASE             =    clean_lines(get_function_contents_by_name(__lowerCamelCase      , """main"""					)					)
        _SCREAMING_SNAKE_CASE             =    clean_lines(get_function_contents_by_name(__lowerCamelCase      , """main"""					)					)
        if secondary_filename is not None:
            _SCREAMING_SNAKE_CASE             =    clean_lines(get_function_contents_by_name(__lowerCamelCase      , """main"""					)					)
    else:
        _SCREAMING_SNAKE_CASE             =    clean_lines(get_function_contents_by_name(__lowerCamelCase      , """training_function"""					)					)
        _SCREAMING_SNAKE_CASE             =    clean_lines(get_function_contents_by_name(__lowerCamelCase      , """training_function"""					)					)
        _SCREAMING_SNAKE_CASE             =    clean_lines(get_function_contents_by_name(__lowerCamelCase      , """training_function"""					)					)
        if secondary_filename is not None:
            _SCREAMING_SNAKE_CASE             =    clean_lines(
                get_function_contents_by_name(__lowerCamelCase      , """training_function"""					)					)

    _SCREAMING_SNAKE_CASE             =    """train_dataloader, eval_dataloader = get_dataloaders(accelerator, batch_size)\n"""

    # Specific code in our script that differs from the full version, aka what is new
    _SCREAMING_SNAKE_CASE             =    []
    _SCREAMING_SNAKE_CASE             =    []  # We keep track of the idxs just in case it's a repeated statement
    _SCREAMING_SNAKE_CASE             =    iter(__lowerCamelCase					)
    for i in range(len(__lowerCamelCase					) - 1					):
        if i not in passed_idxs:
            _SCREAMING_SNAKE_CASE             =    next(__lowerCamelCase					)
            if (line not in full_file_func) and (line.lstrip() != _dl_line):
                if "TESTING_MOCKED_DATALOADERS" not in line:
                    new_feature_code.append(__lowerCamelCase					)
                    passed_idxs.append(__lowerCamelCase					)
                else:
                    # Skip over the `config['num_epochs'] = 2` statement
                    _SCREAMING_SNAKE_CASE             =    next(__lowerCamelCase					)

    # Extract out just the new parts from the full_file_training_func
    _SCREAMING_SNAKE_CASE             =    []
    _SCREAMING_SNAKE_CASE             =    []  # We keep track of the idxs just in case it's a repeated statement
    for i, line in enumerate(__lowerCamelCase					):
        if i not in passed_idxs:
            if (line not in full_file_func) and (line.lstrip() != _dl_line):
                if "TESTING_MOCKED_DATALOADERS" not in line:
                    new_full_example_parts.append(__lowerCamelCase					)
                    passed_idxs.append(__lowerCamelCase					)

    # Finally, get the overall diff
    _SCREAMING_SNAKE_CASE             =    [line for line in new_feature_code if line not in new_full_example_parts]
    if secondary_filename is not None:
        _SCREAMING_SNAKE_CASE             =    [line for line in full_file_contents if line not in secondary_file_func]
        _SCREAMING_SNAKE_CASE             =    [line for line in diff_from_example if line not in diff_from_two]

    return diff_from_example



