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How to use _max_name_length method in avocado

Best Python code snippet using avocado_python

output_logger.py

Source:output_logger.py

1import asyncio2import logging3import os4import sys5from contextlib import contextmanager, redirect_stderr, redirect_stdout, suppress6import click7from async_generator import asynccontextmanager8from .utils import capture_subprocess_output, remove_ansi_escape_sequences9class OutputLogger:10    def __init__(self, file):11        self.file = file12        self.stdout = sys.stdout13        self.stderr = sys.stderr14        self.outs = {}15        self._max_name_length = None16    def out(self, name, stream=None, color=None):17        if stream in (None, sys.stderr):18            stream = self.stderr19        elif stream is sys.stdout:20            stream = self.stdout21        out = Out(self, name, file=self.file, stream=stream, color=color)22        self.outs[name] = out23        self._max_name_length = None24        return out25    @property26    def max_name_length(self):27        if self._max_name_length is None:28            name_lengths = [len(name) for name in self.outs.keys()]29            self._max_name_length = max(name_lengths, default=0)30        return self._max_name_length31class LineWriter:32    NEWLINE = "\n"33    def __init__(self, out):34        self.__out = out35        self.__skip_next_newline = False36    def __getattr__(self, name):37        return getattr(self.__out, name)38    def write(self, line):39        # Pre 3.7, `logging.StreamHandler.emit` will40        # write the message and terminator separately41        if self.__skip_next_newline:42            self.__skip_next_newline = False43            if line == self.NEWLINE:44                return45        if not line.endswith(self.NEWLINE):46            line = line + self.NEWLINE47            self.__skip_next_newline = True48        self.__out.writeline(line)49class FileDescriptorWriter:50    def __init__(self, out, fd):51        self.__out = out52        self.__writer = os.fdopen(fd, "w")53    def __getattr__(self, name):54        return getattr(self.__writer, name)55    def isatty(self):56        return self.__out.isatty()57class Out:58    """59    Simple Out class to log anything written in a stream to a file60     and then also write it to the stream.61    """62    def __init__(self, output_logger, name, file, stream, color="white"):63        self.output_logger = output_logger64        self.name = name65        self.color = color66        self.file = file67        self.stream = stream68        self.last_line = ""69        self._prefix = None70        self._max_name_length = None71    @property72    def prefix(self):73        max_name_length = self.output_logger.max_name_length74        if self._prefix is None or self._max_name_length != max_name_length:75            self._max_name_length = max_name_length76            padding = max(max_name_length, 6)77            padded_name = self.name.ljust(padding)78            self._prefix = click.style(f"{padded_name} | ", fg=self.color)79        return self._prefix80    @contextmanager81    def line_writer(self):82        yield LineWriter(self)83    @contextmanager84    def redirect_logging(self, format=None, ignore_errors=()):85        logger = logging.getLogger()86        original_log_handlers = logger.handlers87        line_writer = LineWriter(self)88        handler = logging.StreamHandler(line_writer)89        if not format:90            if logger.getEffectiveLevel() == logging.DEBUG:91                format = "%(levelname)s %(message)s"92            else:93                format = "%(message)s"94        formatter = logging.Formatter(fmt=format)95        handler.setFormatter(formatter)96        logger.handlers = [handler]97        try:98            yield99        except (KeyboardInterrupt, asyncio.CancelledError, *ignore_errors):100            raise101        except Exception as err:102            logger.error(str(err), exc_info=True)103            raise104        finally:105            logger.handlers = original_log_handlers106    @asynccontextmanager107    async def writer(self):108        read_fd, write_fd = os.pipe()109        reader = asyncio.ensure_future(self._read_from_fd(read_fd))110        writer = FileDescriptorWriter(self, write_fd)111        try:112            yield writer113        finally:114            writer.close()115            with suppress(asyncio.CancelledError):116                await reader117    @asynccontextmanager118    async def redirect_stdout(self):119        async with self.writer() as stdout:120            with redirect_stdout(stdout):121                yield122    @asynccontextmanager123    async def redirect_stderr(self):124        async with self.writer() as stderr:125            with redirect_stderr(stderr):126                yield127    def writeline(self, line):128        self.last_line = line129        click.echo(self.prefix + line, nl=False, file=self)130        self.flush()131    def write(self, data):132        self.stream.write(data)133        self.file.write(remove_ansi_escape_sequences(data))134        # always flush the file to keep it up to date with the stream135        self.file.flush()136    def flush(self):137        self.stream.flush()138        self.file.flush()139    def isatty(self):140        # Explicitly claim we're connected to a TTY to stop Click141        # from stripping ANSI codes142        return self.stream.isatty()143    async def _read_from_fd(self, read_fd):144        # Since we're redirecting our own stdout and stderr output,145        # the line length limit can be arbitrarily large.146        line_length_limit = 1024 * 1024 * 1024  # 1 GiB147        reader = asyncio.StreamReader(limit=line_length_limit)148        read_protocol = asyncio.StreamReaderProtocol(reader)149        loop = asyncio.get_event_loop()150        read_transport, _ = await loop.connect_read_pipe(151            lambda: read_protocol, os.fdopen(read_fd)152        )...

util.py

Source:util.py

1"""2General utility non-I/O code for gpu_specter.3"""4import time, datetime5import os, logging6import numpy as np7try:8    import cupy as cp9except ImportError:10    pass11def gather_ndarray(sendbuf, comm, root=0):12    """Gather multidimensional ndarray objects to one process from all other processes in a group.13    Args:14        sendbuf: multidimensional ndarray15        comm: mpi communicator16        root: rank of receiving process17    Returns:18        recvbuf: A stacked multidemsional ndarray if comm.rank == root, otherwise None.19    """20    rank = comm.rank21    # Save shape and flatten input array22    sendbuf = np.array(sendbuf)23    shape = sendbuf.shape24    sendbuf = sendbuf.ravel()25    # Collect local array sizes using the high-level mpi4py gather26    sendcounts = np.array(comm.gather(len(sendbuf), root))27    if rank == root:28        recvbuf = np.empty(sum(sendcounts), dtype=sendbuf.dtype)29    else:30        recvbuf = None31    comm.Gatherv(sendbuf=sendbuf, recvbuf=(recvbuf, sendcounts), root=root)32    if rank == root:33        # Reshape output before returning34        recvbuf = recvbuf.reshape((-1,) + shape[1:])35    return recvbuf36def get_array_module(x):37    """Returns the array module for arguments.38    This function is used to implement CPU/GPU generic code. If the argument39    is a :class:`cupy.ndarray` object, the :mod:`cupy` module is returned.40    For more details see: https://docs-cupy.chainer.org/en/stable/reference/generated/cupy.get_array_module.html41    Args:42        args: array to determine whether NumPy or CuPy should be used.43    Returns:44        module: :mod:`cupy` or :mod:`numpy` is returned based on the types of45        the arguments.46    """47    try:48        return cp.get_array_module(x)49    except NameError:50        # If the cupy module is unavailble, default to numpy51        return np52#- subset of desiutil.log.get_logger, to avoid desiutil dependency53_loggers = dict()54def get_logger(level=None):55    if level is None:56        level = os.getenv('DESI_LOGLEVEL', 'INFO')57    level = level.upper()58    if level == 'DEBUG':59        loglevel = logging.DEBUG60    elif level == 'INFO':61        loglevel = logging.INFO62    elif level == 'WARN' or level == 'WARNING':63        loglevel = logging.WARNING64    elif level == 'ERROR':65        loglevel = logging.ERROR66    elif level == 'FATAL' or level == 'CRITICAL':67        loglevel = logging.CRITICAL68    else:69        raise ValueError('Unknown log level {}; should be DEBUG/INFO/WARNING/ERROR/CRITICAL'.format(level))70    if level not in _loggers:71        logger = logging.getLogger('desimeter.'+level)72        logger.setLevel(loglevel)73        #- handler and formatter code adapted from74        #- https://docs.python.org/3/howto/logging.html#configuring-logging75        # create console handler and set level to debug76        ch = logging.StreamHandler()77        ch.setLevel(loglevel)78        # create formatter79        formatter = logging.Formatter('%(levelname)s:%(filename)s:%(lineno)s:%(funcName)s:%(message)s')80        # add formatter to ch81        ch.setFormatter(formatter)82        # add ch to logger83        logger.addHandler(ch)84        _loggers[level] = logger85    return _loggers[level]86class Timer(object):87    def __init__(self):88        """A helper class for capturing timing splits.89        The start time is set on instantiation.90        """91        self.start = self.time()92        self.splits = list()93        self._max_name_length = 594    def split(self, name):95        """Capture timing split since start or previous split.96        Args:97            name: name to use for the captured interval98        """99        split = (name, self.time())100        self._max_name_length = max(len(name), self._max_name_length)101        self.splits.append(split)102    def time(self):103        """Returns the number of seconds since start of unix epoch.104        """105        return time.time()106    def _gen_split_summary(self):107        """Split summary generator.108        """109        start_iso = datetime.datetime.utcfromtimestamp(self.start).isoformat()110        yield '{name:>{n}s}:{time}'.format(name='start', time=start_iso, n=self._max_name_length)111        last = self.start112        fmt = '{name:>{n}s}:{delta:>22.2f}'113        for name, time in self.splits:114            delta = time - last115            yield fmt.format(name=name, delta=delta, n=self._max_name_length)116            last = time117        yield fmt.format(name='total', delta=last-self.start, n=self._max_name_length)118    def log_splits(self, log):119        """Logs the timer's split summary as INFO120        Args:121            log: a logger object122        """123        for line in self._gen_split_summary():124            log.info(line)125    def print_splits(self):126        """Prints the timer's split summary127        """128        for line in self._gen_split_summary():...

test.py

Source:test.py

1class Person:2    _min_length = 23    _max_name_length = 154    def __init__(self, name, age):5        self.name = name6        self.age = age7    @property8    def name(self):9        return self.__name10    @name.setter11    def name(self, value):12        self._validate_name(value)13        self.__name = value14    @classmethod15    def _validate_name(cls, value):16        value_len = len(value)17        if value_len < cls._min_length or cls._max_name_length < value_len:18            raise ValueError(f"The length of the name must be between {cls._min_length} and {cls._max_name_length}")19class Student(Person):20    attr1 = "Student"21    _min_length = 1022    # _max_name_length = 19...

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