from .modules import *  # noqa: F403

            

Reported by Pylint.

              from .modules import *  # noqa: F403

            

Reported by Pylint.

              from .modules import *  # noqa: F403

            

Reported by Pylint.

              from .modules import *  # noqa: F403

            

Reported by Pylint.

              from .modules import *  # noqa: F403

            

Reported by Pylint.

              from .modules import *  # noqa: F403

            

Reported by Pylint.

              #ifdef DEBUG_LOG
#define COLOR "\033[31;1m"
#define RESET "\033[0m"
#define __DEBUG(msg, ...) fprintf(stderr, COLOR msg "%c" RESET, __VA_ARGS__);
#define DEBUG(...) __DEBUG(__VA_ARGS__, '\n')
#else
#define DEBUG(...) (void)0
#endif


            

Reported by FlawFinder.

                // NOLINTNEXTLINE(cppcoreguidelines-init-variables)
  size_t unused;
  // NOLINTNEXTLINE(clang-analyzer-deadcode.DeadStores)
  unused = write(1, message, strlen(message));
  // NOLINTNEXTLINE(clang-analyzer-deadcode.DeadStores)
  unused = write(1, "\n", 1);
}

bool object_exists(const char *name) {

            

Reported by FlawFinder.

              from io import BufferedIOBase
from typing import Any, Callable, Iterable, Iterator, Sized, Tuple

from torch.utils.data import IterDataPipe, functional_datapipe
from torch.utils.data.datapipes.utils.decoder import (
    Decoder,
    basichandlers as decoder_basichandlers,
    imagehandler as decoder_imagehandler,
    extension_extract_fn)

            

Reported by Pylint.

                          handlers = (decoder_basichandlers, decoder_imagehandler('torch'))
        self.decoder = Decoder(*handlers, key_fn=key_fn)

    def add_handler(self, *handler: Callable) -> None:
        self.decoder.add_handler(*handler)

    def __iter__(self) -> Iterator[Tuple[str, Any]]:
        for data in self.datapipe:
            pathname = data[0]

            

Reported by Pylint.

              from typing import Tuple
from torch.utils.data import IterDataPipe


class ReadLinesFromFileIterDataPipe(IterDataPipe[Tuple[str, str]]):
    r""" :class:`ReadLinesFromFileDataPipe`

    Iterable DataPipe to load file names as source iter data pipe
    and yield filename and line(s).

            

Reported by Pylint.

              from torch.utils.data import IterDataPipe


class ReadLinesFromFileIterDataPipe(IterDataPipe[Tuple[str, str]]):
    r""" :class:`ReadLinesFromFileDataPipe`

    Iterable DataPipe to load file names as source iter data pipe
    and yield filename and line(s).
    """

            

Reported by Pylint.

              import os
import time


class FileBaton:
    '''A primitive, file-based synchronization utility.'''

    def __init__(self, lock_file_path, wait_seconds=0.1):
        '''

            

Reported by Pylint.

                      '''
        self.lock_file_path = lock_file_path
        self.wait_seconds = wait_seconds
        self.fd = None

    def try_acquire(self):
        '''
        Tries to atomically create a file under exclusive access.


            

Reported by Pylint.

              from .version import __version__

            

Reported by Pylint.

              from .version import __version__

            

Reported by Pylint.

              from .modules import *  # noqa: F403

            

Reported by Pylint.

              from .modules import *  # noqa: F403

            

Reported by Pylint.

              from .modules import *  # noqa: F403

            

Reported by Pylint.

              from .modules import *  # noqa: F403

            

Reported by Pylint.