Source code for tqdm.std

"""
Customisable progressbar decorator for iterators.
Includes a default (x)range iterator printing to stderr.

Usage:
  >>> from tqdm import trange[, tqdm]
  >>> for i in trange(10): #same as: for i in tqdm(xrange(10))
  ...     ...
"""
from __future__ import absolute_import
# integer division / : float, // : int
from __future__ import division
# compatibility functions and utilities
from .utils import _supports_unicode, _environ_cols_wrapper, _range, _unich, \
    _term_move_up, _unicode, WeakSet, _basestring, _OrderedDict, \
    Comparable, RE_ANSI, _is_ascii, SimpleTextIOWrapper, FormatReplace
from ._monitor import TMonitor
# native libraries
import sys
from numbers import Number
from time import time
from contextlib import contextmanager
# For parallelism safety
import threading as th
from warnings import warn

__author__ = {"github.com/": ["noamraph", "obiwanus", "kmike", "hadim",
                              "casperdcl", "lrq3000"]}
__all__ = ['tqdm', 'trange',
           'TqdmTypeError', 'TqdmKeyError', 'TqdmWarning',
           'TqdmExperimentalWarning', 'TqdmDeprecationWarning',
           'TqdmMonitorWarning']


class TqdmTypeError(TypeError):
    pass


class TqdmKeyError(KeyError):
    pass


class TqdmWarning(Warning):
    """base class for all tqdm warnings.

    Used for non-external-code-breaking errors, such as garbled printing.
    """
    def __init__(self, msg, fp_write=None, *a, **k):
        if fp_write is not None:
            fp_write("\n" + self.__class__.__name__ + ": " +
                     str(msg).rstrip() + '\n')
        else:
            super(TqdmWarning, self).__init__(msg, *a, **k)


class TqdmExperimentalWarning(TqdmWarning, FutureWarning):
    """beta feature, unstable API and behaviour"""
    pass


class TqdmDeprecationWarning(TqdmWarning, DeprecationWarning):
    # not suppressed if raised
    pass


class TqdmMonitorWarning(TqdmWarning, RuntimeWarning):
    """tqdm monitor errors which do not affect external functionality"""
    pass


class TqdmDefaultWriteLock(object):
    """
    Provide a default write lock for thread and multiprocessing safety.
    Works only on platforms supporting `fork` (so Windows is excluded).
    You must initialise a `tqdm` or `TqdmDefaultWriteLock` instance
    before forking in order for the write lock to work.
    On Windows, you need to supply the lock from the parent to the children as
    an argument to joblib or the parallelism lib you use.
    """
    def __init__(self):
        # Create global parallelism locks to avoid racing issues with parallel
        # bars works only if fork available (Linux/MacOSX, but not Windows)
        self.create_mp_lock()
        self.create_th_lock()
        cls = type(self)
        self.locks = [lk for lk in [cls.mp_lock, cls.th_lock] if lk is not None]

    def acquire(self):
        for lock in self.locks:
            lock.acquire()

    def release(self):
        for lock in self.locks[::-1]:  # Release in inverse order of acquisition
            lock.release()

    def __enter__(self):
        self.acquire()

    def __exit__(self, *exc):
        self.release()

    @classmethod
    def create_mp_lock(cls):
        if not hasattr(cls, 'mp_lock'):
            try:
                from multiprocessing import RLock
                cls.mp_lock = RLock()  # multiprocessing lock
            except ImportError:  # pragma: no cover
                cls.mp_lock = None
            except OSError:  # pragma: no cover
                cls.mp_lock = None

    @classmethod
    def create_th_lock(cls):
        if not hasattr(cls, 'th_lock'):
            try:
                cls.th_lock = th.RLock()  # thread lock
            except OSError:  # pragma: no cover
                cls.th_lock = None


# Create a thread lock before instantiation so that no setup needs to be done
# before running in a multithreaded environment.
# Do not create the multiprocessing lock because it sets the multiprocessing
# context and does not allow the user to use 'spawn' or 'forkserver' methods.
TqdmDefaultWriteLock.create_th_lock()


class Bar(object):
    """
    `str.format`-able bar with format specifiers: `[width][type]`

    - `width`
      + unspecified (default): use `self.default_len`
      + `int >= 0`: overrides `self.default_len`
      + `int < 0`: subtract from `self.default_len`
    - `type`
      + `a`: ascii (`charset=self.ASCII` override)
      + `u`: unicode (`charset=self.UTF` override)
      + `b`: blank (`charset="  "` override)
    """
    ASCII = " 123456789#"
    UTF = u" " + u''.join(map(_unich, range(0x258F, 0x2587, -1)))
    BLANK = "  "

    def __init__(self, frac, default_len=10, charset=UTF):
        assert 0 <= frac <= 1
        assert default_len > 0
        self.frac = frac
        self.default_len = default_len
        self.charset = charset

    def __format__(self, format_spec):
        if format_spec:
            _type = format_spec[-1].lower()
            try:
                charset = dict(a=self.ASCII, u=self.UTF, b=self.BLANK)[_type]
            except KeyError:
                charset = self.charset
            else:
                format_spec = format_spec[:-1]
            if format_spec:
                N_BARS = int(format_spec)
                if N_BARS < 0:
                    N_BARS += self.default_len
            else:
                N_BARS = self.default_len
        else:
            charset = self.charset
            N_BARS = self.default_len

        nsyms = len(charset) - 1
        bar_length, frac_bar_length = divmod(
            int(self.frac * N_BARS * nsyms), nsyms)

        bar = charset[-1] * bar_length
        frac_bar = charset[frac_bar_length]

        # whitespace padding
        if bar_length < N_BARS:
            return bar + frac_bar + \
                charset[0] * (N_BARS - bar_length - 1)
        return bar + charset[0] * (N_BARS - bar_length)


[docs]class tqdm(Comparable): """ Decorate an iterable object, returning an iterator which acts exactly like the original iterable, but prints a dynamically updating progressbar every time a value is requested. """ monitor_interval = 10 # set to 0 to disable the thread monitor = None
[docs] @staticmethod def format_sizeof(num, suffix='', divisor=1000): """ Formats a number (greater than unity) with SI Order of Magnitude prefixes. Parameters ---------- num : float Number ( >= 1) to format. suffix : str, optional Post-postfix [default: '']. divisor : float, optional Divisor between prefixes [default: 1000]. Returns ------- out : str Number with Order of Magnitude SI unit postfix. """ for unit in ['', 'k', 'M', 'G', 'T', 'P', 'E', 'Z']: if abs(num) < 999.5: if abs(num) < 99.95: if abs(num) < 9.995: return '{0:1.2f}'.format(num) + unit + suffix return '{0:2.1f}'.format(num) + unit + suffix return '{0:3.0f}'.format(num) + unit + suffix num /= divisor return '{0:3.1f}Y'.format(num) + suffix
[docs] @staticmethod def format_interval(t): """ Formats a number of seconds as a clock time, [H:]MM:SS Parameters ---------- t : int Number of seconds. Returns ------- out : str [H:]MM:SS """ mins, s = divmod(int(t), 60) h, m = divmod(mins, 60) if h: return '{0:d}:{1:02d}:{2:02d}'.format(h, m, s) else: return '{0:02d}:{1:02d}'.format(m, s)
[docs] @staticmethod def format_num(n): """ Intelligent scientific notation (.3g). Parameters ---------- n : int or float or Numeric A Number. Returns ------- out : str Formatted number. """ f = '{0:.3g}'.format(n).replace('+0', '+').replace('-0', '-') n = str(n) return f if len(f) < len(n) else n
[docs] @staticmethod def ema(x, mu=None, alpha=0.3): """ Exponential moving average: smoothing to give progressively lower weights to older values. Parameters ---------- x : float New value to include in EMA. mu : float, optional Previous EMA value. alpha : float, optional Smoothing factor in range [0, 1], [default: 0.3]. Increase to give more weight to recent values. Ranges from 0 (yields mu) to 1 (yields x). """ return x if mu is None else (alpha * x) + (1 - alpha) * mu
[docs] @staticmethod def status_printer(file): """ Manage the printing and in-place updating of a line of characters. Note that if the string is longer than a line, then in-place updating may not work (it will print a new line at each refresh). """ fp = file fp_flush = getattr(fp, 'flush', lambda: None) # pragma: no cover def fp_write(s): fp.write(_unicode(s)) fp_flush() last_len = [0] def print_status(s): len_s = len(s) fp_write('\r' + s + (' ' * max(last_len[0] - len_s, 0))) last_len[0] = len_s return print_status
[docs] @staticmethod def format_meter(n, total, elapsed, ncols=None, prefix='', ascii=False, unit='it', unit_scale=False, rate=None, bar_format=None, postfix=None, unit_divisor=1000, **extra_kwargs): """ Return a string-based progress bar given some parameters Parameters ---------- n : int Number of finished iterations. total : int The expected total number of iterations. If meaningless (), only basic progress statistics are displayed (no ETA). elapsed : float Number of seconds passed since start. ncols : int, optional The width of the entire output message. If specified, dynamically resizes `{bar}` to stay within this bound [default: None]. If `0`, will not print any bar (only stats). The fallback is `{bar:10}`. prefix : str, optional Prefix message (included in total width) [default: '']. Use as {desc} in bar_format string. ascii : bool, optional or str, optional If not set, use unicode (smooth blocks) to fill the meter [default: False]. The fallback is to use ASCII characters " 123456789#". unit : str, optional The iteration unit [default: 'it']. unit_scale : bool or int or float, optional If 1 or True, the number of iterations will be printed with an appropriate SI metric prefix (k = 10^3, M = 10^6, etc.) [default: False]. If any other non-zero number, will scale `total` and `n`. rate : float, optional Manual override for iteration rate. If [default: None], uses n/elapsed. bar_format : str, optional Specify a custom bar string formatting. May impact performance. [default: '{l_bar}{bar}{r_bar}'], where l_bar='{desc}: {percentage:3.0f}%|' and r_bar='| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, ' '{rate_fmt}{postfix}]' Possible vars: l_bar, bar, r_bar, n, n_fmt, total, total_fmt, percentage, elapsed, elapsed_s, ncols, desc, unit, rate, rate_fmt, rate_noinv, rate_noinv_fmt, rate_inv, rate_inv_fmt, postfix, unit_divisor, remaining, remaining_s. Note that a trailing ": " is automatically removed after {desc} if the latter is empty. postfix : *, optional Similar to `prefix`, but placed at the end (e.g. for additional stats). Note: postfix is usually a string (not a dict) for this method, and will if possible be set to postfix = ', ' + postfix. However other types are supported (#382). unit_divisor : float, optional [default: 1000], ignored unless `unit_scale` is True. Returns ------- out : Formatted meter and stats, ready to display. """ # sanity check: total if total and n > total: total = None # apply custom scale if necessary if unit_scale and unit_scale not in (True, 1): if total: total *= unit_scale n *= unit_scale if rate: rate *= unit_scale # by default rate = 1 / self.avg_time unit_scale = False elapsed_str = tqdm.format_interval(elapsed) # if unspecified, attempt to use rate = average speed # (we allow manual override since predicting time is an arcane art) if rate is None and elapsed: rate = n / elapsed inv_rate = 1 / rate if rate else None format_sizeof = tqdm.format_sizeof rate_noinv_fmt = ((format_sizeof(rate) if unit_scale else '{0:5.2f}'.format(rate)) if rate else '?') + unit + '/s' rate_inv_fmt = ((format_sizeof(inv_rate) if unit_scale else '{0:5.2f}'.format(inv_rate)) if inv_rate else '?') + 's/' + unit rate_fmt = rate_inv_fmt if inv_rate and inv_rate > 1 else rate_noinv_fmt if unit_scale: n_fmt = format_sizeof(n, divisor=unit_divisor) total_fmt = format_sizeof(total, divisor=unit_divisor) \ if total is not None else '?' else: n_fmt = str(n) total_fmt = str(total) if total is not None else '?' try: postfix = ', ' + postfix if postfix else '' except TypeError: pass remaining = (total - n) / rate if rate and total else 0 remaining_str = tqdm.format_interval(remaining) if rate else '?' # format the stats displayed to the left and right sides of the bar if prefix: # old prefix setup work around bool_prefix_colon_already = (prefix[-2:] == ": ") l_bar = prefix if bool_prefix_colon_already else prefix + ": " else: l_bar = '' r_bar = '| {0}/{1} [{2}<{3}, {4}{5}]'.format( n_fmt, total_fmt, elapsed_str, remaining_str, rate_fmt, postfix) # Custom bar formatting # Populate a dict with all available progress indicators format_dict = dict( # slight extension of self.format_dict n=n, n_fmt=n_fmt, total=total, total_fmt=total_fmt, elapsed=elapsed_str, elapsed_s=elapsed, ncols=ncols, desc=prefix or '', unit=unit, rate=inv_rate if inv_rate and inv_rate > 1 else rate, rate_fmt=rate_fmt, rate_noinv=rate, rate_noinv_fmt=rate_noinv_fmt, rate_inv=inv_rate, rate_inv_fmt=rate_inv_fmt, postfix=postfix, unit_divisor=unit_divisor, # plus more useful definitions remaining=remaining_str, remaining_s=remaining, l_bar=l_bar, r_bar=r_bar, **extra_kwargs) # total is known: we can predict some stats if total: # fractional and percentage progress frac = n / total percentage = frac * 100 l_bar += '{0:3.0f}%|'.format(percentage) if ncols == 0: return l_bar[:-1] + r_bar[1:] format_dict.update(l_bar=l_bar) if bar_format: format_dict.update(percentage=percentage) # auto-remove colon for empty `desc` if not prefix: bar_format = bar_format.replace("{desc}: ", '') else: bar_format = "{l_bar}{bar}{r_bar}" full_bar = FormatReplace() nobar = bar_format.format(bar=full_bar, **format_dict) if not full_bar.format_called: # no {bar}, we can just format and return return nobar # Formatting progress bar space available for bar's display full_bar = Bar( frac, max(1, ncols - len(RE_ANSI.sub('', nobar))) if ncols else 10, charset=Bar.ASCII if ascii is True else ascii or Bar.UTF) if not _is_ascii(full_bar.charset) and _is_ascii(bar_format): bar_format = _unicode(bar_format) return bar_format.format(bar=full_bar, **format_dict) elif bar_format: # user-specified bar_format but no total l_bar += '|' format_dict.update(l_bar=l_bar, percentage=0) full_bar = FormatReplace() nobar = bar_format.format(bar=full_bar, **format_dict) if not full_bar.format_called: return nobar full_bar = Bar( 0, max(1, ncols - len(RE_ANSI.sub('', nobar))) if ncols else 10, charset=Bar.BLANK) return bar_format.format(bar=full_bar, **format_dict) else: # no total: no progressbar, ETA, just progress stats return ((prefix + ": ") if prefix else '') + \ '{0}{1} [{2}, {3}{4}]'.format( n_fmt, unit, elapsed_str, rate_fmt, postfix)
[docs] def __new__(cls, *args, **kwargs): # Create a new instance instance = object.__new__(cls) # Construct the lock if it does not exist with cls.get_lock(): # Add to the list of instances if not hasattr(cls, '_instances'): cls._instances = WeakSet() cls._instances.add(instance) # Create the monitoring thread if cls.monitor_interval and (cls.monitor is None or not cls.monitor.report()): try: cls.monitor = TMonitor(cls, cls.monitor_interval) except Exception as e: # pragma: nocover warn("tqdm:disabling monitor support" " (monitor_interval = 0) due to:\n" + str(e), TqdmMonitorWarning) cls.monitor_interval = 0 # Return the instance return instance
[docs] @classmethod def _get_free_pos(cls, instance=None): """Skips specified instance.""" positions = set(abs(inst.pos) for inst in cls._instances if inst is not instance and hasattr(inst, "pos")) return min(set(range(len(positions) + 1)).difference(positions))
[docs] @classmethod def _decr_instances(cls, instance): """ Remove from list and reposition other bars so that newer bars won't overlap previous bars """ with cls._lock: try: cls._instances.remove(instance) except KeyError: # if not instance.gui: # pragma: no cover # raise pass # py2: maybe magically removed already # else: if not instance.gui: for inst in cls._instances: # negative `pos` means fixed if hasattr(inst, "pos") and inst.pos > abs(instance.pos): inst.clear(nolock=True) inst.pos -= 1 # TODO: check this doesn't overwrite another fixed bar # Kill monitor if no instances are left if not cls._instances and cls.monitor: try: cls.monitor.exit() del cls.monitor except AttributeError: # pragma: nocover pass else: cls.monitor = None
[docs] @classmethod def write(cls, s, file=None, end="\n", nolock=False): """Print a message via tqdm (without overlap with bars).""" fp = file if file is not None else sys.stdout with cls.external_write_mode(file=file, nolock=nolock): # Write the message fp.write(s) fp.write(end)
[docs] @classmethod @contextmanager def external_write_mode(cls, file=None, nolock=False): """ Disable tqdm within context and refresh tqdm when exits. Useful when writing to standard output stream """ fp = file if file is not None else sys.stdout if not nolock: cls.get_lock().acquire() # Clear all bars inst_cleared = [] for inst in getattr(cls, '_instances', []): # Clear instance if in the target output file # or if write output + tqdm output are both either # sys.stdout or sys.stderr (because both are mixed in terminal) if hasattr(inst, "start_t") and (inst.fp == fp or all( f in (sys.stdout, sys.stderr) for f in (fp, inst.fp))): inst.clear(nolock=True) inst_cleared.append(inst) yield # Force refresh display of bars we cleared for inst in inst_cleared: inst.refresh(nolock=True) if not nolock: cls._lock.release()
[docs] @classmethod def set_lock(cls, lock): """Set the global lock.""" cls._lock = lock
[docs] @classmethod def get_lock(cls): """Get the global lock. Construct it if it does not exist.""" if not hasattr(cls, '_lock'): cls._lock = TqdmDefaultWriteLock() return cls._lock
[docs] @classmethod def pandas(tclass, *targs, **tkwargs): """ Registers the given `tqdm` class with pandas.core. ( frame.DataFrame | series.Series | groupby.(generic.)DataFrameGroupBy | groupby.(generic.)SeriesGroupBy ).progress_apply A new instance will be create every time `progress_apply` is called, and each instance will automatically close() upon completion. Parameters ---------- targs, tkwargs : arguments for the tqdm instance Examples -------- >>> import pandas as pd >>> import numpy as np >>> from tqdm import tqdm >>> from tqdm.gui import tqdm as tqdm_gui >>> >>> df = pd.DataFrame(np.random.randint(0, 100, (100000, 6))) >>> tqdm.pandas(ncols=50) # can use tqdm_gui, optional kwargs, etc >>> # Now you can use `progress_apply` instead of `apply` >>> df.groupby(0).progress_apply(lambda x: x**2) References ---------- https://stackoverflow.com/questions/18603270/ progress-indicator-during-pandas-operations-python """ from pandas.core.frame import DataFrame from pandas.core.series import Series from pandas import Panel try: # pandas>=0.18.0 from pandas.core.window import _Rolling_and_Expanding except ImportError: # pragma: no cover _Rolling_and_Expanding = None try: # pandas>=0.25.0 from pandas.core.groupby.generic import DataFrameGroupBy, \ SeriesGroupBy # , NDFrameGroupBy except ImportError: try: # pandas>=0.23.0 from pandas.core.groupby.groupby import DataFrameGroupBy, \ SeriesGroupBy except ImportError: from pandas.core.groupby import DataFrameGroupBy, \ SeriesGroupBy try: # pandas>=0.23.0 from pandas.core.groupby.groupby import GroupBy except ImportError: from pandas.core.groupby import GroupBy try: # pandas>=0.23.0 from pandas.core.groupby.groupby import PanelGroupBy except ImportError: try: from pandas.core.groupby import PanelGroupBy except ImportError: # pandas>=0.25.0 PanelGroupBy = None deprecated_t = [tkwargs.pop('deprecated_t', None)] def inner_generator(df_function='apply'): def inner(df, func, *args, **kwargs): """ Parameters ---------- df : (DataFrame|Series)[GroupBy] Data (may be grouped). func : function To be applied on the (grouped) data. **kwargs : optional Transmitted to `df.apply()`. """ # Precompute total iterations total = tkwargs.pop("total", getattr(df, 'ngroups', None)) if total is None: # not grouped if df_function == 'applymap': total = df.size elif isinstance(df, Series): total = len(df) elif _Rolling_and_Expanding is None or \ not isinstance(df, _Rolling_and_Expanding): # DataFrame or Panel axis = kwargs.get('axis', 0) if axis == 'index': axis = 0 elif axis == 'columns': axis = 1 # when axis=0, total is shape[axis1] total = df.size // df.shape[axis] # Init bar if deprecated_t[0] is not None: t = deprecated_t[0] deprecated_t[0] = None else: t = tclass(*targs, total=total, **tkwargs) if len(args) > 0: # *args intentionally not supported (see #244, #299) TqdmDeprecationWarning( "Except func, normal arguments are intentionally" + " not supported by" + " `(DataFrame|Series|GroupBy).progress_apply`." + " Use keyword arguments instead.", fp_write=getattr(t.fp, 'write', sys.stderr.write)) # Define bar updating wrapper def wrapper(*args, **kwargs): # update tbar correctly # it seems `pandas apply` calls `func` twice # on the first column/row to decide whether it can # take a fast or slow code path; so stop when t.total==t.n t.update(n=1 if not t.total or t.n < t.total else 0) return func(*args, **kwargs) # Apply the provided function (in **kwargs) # on the df using our wrapper (which provides bar updating) result = getattr(df, df_function)(wrapper, **kwargs) # Close bar and return pandas calculation result t.close() return result return inner # Monkeypatch pandas to provide easy methods # Enable custom tqdm progress in pandas! Series.progress_apply = inner_generator() SeriesGroupBy.progress_apply = inner_generator() Series.progress_map = inner_generator('map') SeriesGroupBy.progress_map = inner_generator('map') DataFrame.progress_apply = inner_generator() DataFrameGroupBy.progress_apply = inner_generator() DataFrame.progress_applymap = inner_generator('applymap') Panel.progress_apply = inner_generator() if PanelGroupBy is not None: PanelGroupBy.progress_apply = inner_generator() GroupBy.progress_apply = inner_generator() GroupBy.progress_aggregate = inner_generator('aggregate') GroupBy.progress_transform = inner_generator('transform') if _Rolling_and_Expanding is not None: # pragma: no cover _Rolling_and_Expanding.progress_apply = inner_generator()
[docs] def __init__(self, iterable=None, desc=None, total=None, leave=True, file=None, ncols=None, mininterval=0.1, maxinterval=10.0, miniters=None, ascii=None, disable=False, unit='it', unit_scale=False, dynamic_ncols=False, smoothing=0.3, bar_format=None, initial=0, position=None, postfix=None, unit_divisor=1000, write_bytes=None, gui=False, **kwargs): """ Parameters ---------- iterable : iterable, optional Iterable to decorate with a progressbar. Leave blank to manually manage the updates. desc : str, optional Prefix for the progressbar. total : int, optional The number of expected iterations. If unspecified, len(iterable) is used if possible. If float("inf") or as a last resort, only basic progress statistics are displayed (no ETA, no progressbar). If `gui` is True and this parameter needs subsequent updating, specify an initial arbitrary large positive integer, e.g. int(9e9). leave : bool, optional If [default: True], keeps all traces of the progressbar upon termination of iteration. If `None`, will leave only if `position` is `0`. file : `io.TextIOWrapper` or `io.StringIO`, optional Specifies where to output the progress messages (default: sys.stderr). Uses `file.write(str)` and `file.flush()` methods. For encoding, see `write_bytes`. ncols : int, optional The width of the entire output message. If specified, dynamically resizes the progressbar to stay within this bound. If unspecified, attempts to use environment width. The fallback is a meter width of 10 and no limit for the counter and statistics. If 0, will not print any meter (only stats). mininterval : float, optional Minimum progress display update interval [default: 0.1] seconds. maxinterval : float, optional Maximum progress display update interval [default: 10] seconds. Automatically adjusts `miniters` to correspond to `mininterval` after long display update lag. Only works if `dynamic_miniters` or monitor thread is enabled. miniters : int, optional Minimum progress display update interval, in iterations. If 0 and `dynamic_miniters`, will automatically adjust to equal `mininterval` (more CPU efficient, good for tight loops). If > 0, will skip display of specified number of iterations. Tweak this and `mininterval` to get very efficient loops. If your progress is erratic with both fast and slow iterations (network, skipping items, etc) you should set miniters=1. ascii : bool or str, optional If unspecified or False, use unicode (smooth blocks) to fill the meter. The fallback is to use ASCII characters " 123456789#". disable : bool, optional Whether to disable the entire progressbar wrapper [default: False]. If set to None, disable on non-TTY. unit : str, optional String that will be used to define the unit of each iteration [default: it]. unit_scale : bool or int or float, optional If 1 or True, the number of iterations will be reduced/scaled automatically and a metric prefix following the International System of Units standard will be added (kilo, mega, etc.) [default: False]. If any other non-zero number, will scale `total` and `n`. dynamic_ncols : bool, optional If set, constantly alters `ncols` to the environment (allowing for window resizes) [default: False]. smoothing : float, optional Exponential moving average smoothing factor for speed estimates (ignored in GUI mode). Ranges from 0 (average speed) to 1 (current/instantaneous speed) [default: 0.3]. bar_format : str, optional Specify a custom bar string formatting. May impact performance. [default: '{l_bar}{bar}{r_bar}'], where l_bar='{desc}: {percentage:3.0f}%|' and r_bar='| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, ' '{rate_fmt}{postfix}]' Possible vars: l_bar, bar, r_bar, n, n_fmt, total, total_fmt, percentage, elapsed, elapsed_s, ncols, desc, unit, rate, rate_fmt, rate_noinv, rate_noinv_fmt, rate_inv, rate_inv_fmt, postfix, unit_divisor, remaining, remaining_s. Note that a trailing ": " is automatically removed after {desc} if the latter is empty. initial : int, optional The initial counter value. Useful when restarting a progress bar [default: 0]. position : int, optional Specify the line offset to print this bar (starting from 0) Automatic if unspecified. Useful to manage multiple bars at once (eg, from threads). postfix : dict or *, optional Specify additional stats to display at the end of the bar. Calls `set_postfix(**postfix)` if possible (dict). unit_divisor : float, optional [default: 1000], ignored unless `unit_scale` is True. write_bytes : bool, optional If (default: None) and `file` is unspecified, bytes will be written in Python 2. If `True` will also write bytes. In all other cases will default to unicode. gui : bool, optional WARNING: internal parameter - do not use. Use tqdm.gui.tqdm(...) instead. If set, will attempt to use matplotlib animations for a graphical output [default: False]. Returns ------- out : decorated iterator. """ if write_bytes is None: write_bytes = file is None and sys.version_info < (3,) if file is None: file = sys.stderr if write_bytes: # Despite coercing unicode into bytes, py2 sys.std* streams # should have bytes written to them. file = SimpleTextIOWrapper( file, encoding=getattr(file, 'encoding', None) or 'utf-8') if disable is None and hasattr(file, "isatty") and not file.isatty(): disable = True if total is None and iterable is not None: try: total = len(iterable) except (TypeError, AttributeError): total = None if total == float("inf"): # Infinite iterations, behave same as unknown total = None if disable: self.iterable = iterable self.disable = disable with self._lock: self.pos = self._get_free_pos(self) self._instances.remove(self) self.n = initial self.total = total return if kwargs: self.disable = True with self._lock: self.pos = self._get_free_pos(self) self._instances.remove(self) from textwrap import dedent raise (TqdmDeprecationWarning(dedent("""\ `nested` is deprecated and automated. Use `position` instead for manual control. """), fp_write=getattr(file, 'write', sys.stderr.write)) if "nested" in kwargs else TqdmKeyError("Unknown argument(s): " + str(kwargs))) # Preprocess the arguments if ((ncols is None) and (file in (sys.stderr, sys.stdout))) or \ dynamic_ncols: # pragma: no cover if dynamic_ncols: dynamic_ncols = _environ_cols_wrapper() if dynamic_ncols: ncols = dynamic_ncols(file) else: _dynamic_ncols = _environ_cols_wrapper() if _dynamic_ncols: ncols = _dynamic_ncols(file) if miniters is None: miniters = 0 dynamic_miniters = True else: dynamic_miniters = False if mininterval is None: mininterval = 0 if maxinterval is None: maxinterval = 0 if ascii is None: ascii = not _supports_unicode(file) if bar_format and not ((ascii is True) or _is_ascii(ascii)): # Convert bar format into unicode since terminal uses unicode bar_format = _unicode(bar_format) if smoothing is None: smoothing = 0 # Store the arguments self.iterable = iterable self.desc = desc or '' self.total = total self.leave = leave self.fp = file self.ncols = ncols self.mininterval = mininterval self.maxinterval = maxinterval self.miniters = miniters self.dynamic_miniters = dynamic_miniters self.ascii = ascii self.disable = disable self.unit = unit self.unit_scale = unit_scale self.unit_divisor = unit_divisor self.gui = gui self.dynamic_ncols = dynamic_ncols self.smoothing = smoothing self.avg_time = None self._time = time self.bar_format = bar_format self.postfix = None if postfix: try: self.set_postfix(refresh=False, **postfix) except TypeError: self.postfix = postfix # Init the iterations counters self.last_print_n = initial self.n = initial # if nested, at initial sp() call we replace '\r' by '\n' to # not overwrite the outer progress bar with self._lock: if position is None: self.pos = self._get_free_pos(self) else: # mark fixed positions as negative self.pos = -position if not gui: # Initialize the screen printer self.sp = self.status_printer(self.fp) with self._lock: self.display() # Init the time counter self.last_print_t = self._time() # NB: Avoid race conditions by setting start_t at the very end of init self.start_t = self.last_print_t
[docs] def __bool__(self): if self.total is not None: return self.total > 0 if self.iterable is None: raise TypeError('bool() undefined when iterable == total == None') return bool(self.iterable)
[docs] def __nonzero__(self): return self.__bool__()
[docs] def __len__(self): return self.total if self.iterable is None else \ (self.iterable.shape[0] if hasattr(self.iterable, "shape") else len(self.iterable) if hasattr(self.iterable, "__len__") else getattr(self, "total", None))
[docs] def __enter__(self): return self
[docs] def __exit__(self, exc_type, exc_value, traceback): try: self.close() except AttributeError: # maybe eager thread cleanup upon external error if (exc_type, exc_value, traceback) == (None, None, None): raise warn("AttributeError ignored", TqdmWarning)
[docs] def __del__(self): self.close()
[docs] def __repr__(self): return self.format_meter(**self.format_dict)
@property def _comparable(self): return abs(getattr(self, "pos", 1 << 31))
[docs] def __hash__(self): return id(self)
[docs] def __iter__(self): """Backward-compatibility to use: for x in tqdm(iterable)""" # Inlining instance variables as locals (speed optimisation) iterable = self.iterable # If the bar is disabled, then just walk the iterable # (note: keep this check outside the loop for performance) if self.disable: for obj in iterable: yield obj return mininterval = self.mininterval maxinterval = self.maxinterval miniters = self.miniters dynamic_miniters = self.dynamic_miniters last_print_t = self.last_print_t last_print_n = self.last_print_n n = self.n smoothing = self.smoothing avg_time = self.avg_time time = self._time if not hasattr(self, 'sp'): from textwrap import dedent raise TqdmDeprecationWarning(dedent("""\ Please use `tqdm.gui.tqdm(...)` instead of `tqdm(..., gui=True)` """), fp_write=getattr(self.fp, 'write', sys.stderr.write)) for obj in iterable: yield obj # Update and possibly print the progressbar. # Note: does not call self.update(1) for speed optimisation. n += 1 # check counter first to avoid calls to time() if n - last_print_n >= self.miniters: miniters = self.miniters # watch monitoring thread changes delta_t = time() - last_print_t if delta_t >= mininterval: cur_t = time() delta_it = n - last_print_n # EMA (not just overall average) if smoothing and delta_t and delta_it: rate = delta_t / delta_it avg_time = self.ema(rate, avg_time, smoothing) self.avg_time = avg_time self.n = n with self._lock: self.display() # If no `miniters` was specified, adjust automatically # to the max iteration rate seen so far between 2 prints if dynamic_miniters: if maxinterval and delta_t >= maxinterval: # Adjust miniters to time interval by rule of 3 if mininterval: # Set miniters to correspond to mininterval miniters = delta_it * mininterval / delta_t else: # Set miniters to correspond to maxinterval miniters = delta_it * maxinterval / delta_t elif smoothing: # EMA-weight miniters to converge # towards the timeframe of mininterval rate = delta_it if mininterval and delta_t: rate *= mininterval / delta_t miniters = self.ema(rate, miniters, smoothing) else: # Maximum nb of iterations between 2 prints miniters = max(miniters, delta_it) # Store old values for next call self.n = self.last_print_n = last_print_n = n self.last_print_t = last_print_t = cur_t self.miniters = miniters # Closing the progress bar. # Update some internal variables for close(). self.last_print_n = last_print_n self.n = n self.miniters = miniters self.close()
[docs] def update(self, n=1): """ Manually update the progress bar, useful for streams such as reading files. E.g.: >>> t = tqdm(total=filesize) # Initialise >>> for current_buffer in stream: ... ... ... t.update(len(current_buffer)) >>> t.close() The last line is highly recommended, but possibly not necessary if `t.update()` will be called in such a way that `filesize` will be exactly reached and printed. Parameters ---------- n : int, optional Increment to add to the internal counter of iterations [default: 1]. """ # N.B.: see __iter__() for more comments. if self.disable: return if n < 0: self.last_print_n += n # for auto-refresh logic to work self.n += n # check counter first to reduce calls to time() if self.n - self.last_print_n >= self.miniters: delta_t = self._time() - self.last_print_t if delta_t >= self.mininterval: cur_t = self._time() delta_it = self.n - self.last_print_n # >= n # elapsed = cur_t - self.start_t # EMA (not just overall average) if self.smoothing and delta_t and delta_it: rate = delta_t / delta_it self.avg_time = self.ema( rate, self.avg_time, self.smoothing) if not hasattr(self, "sp"): raise TqdmDeprecationWarning( "Please use `tqdm.gui.tqdm(...)`" " instead of `tqdm(..., gui=True)`\n", fp_write=getattr(self.fp, 'write', sys.stderr.write)) with self._lock: self.display() # If no `miniters` was specified, adjust automatically to the # maximum iteration rate seen so far between two prints. # e.g.: After running `tqdm.update(5)`, subsequent # calls to `tqdm.update()` will only cause an update after # at least 5 more iterations. if self.dynamic_miniters: if self.maxinterval and delta_t >= self.maxinterval: if self.mininterval: self.miniters = delta_it * self.mininterval \ / delta_t else: self.miniters = delta_it * self.maxinterval \ / delta_t elif self.smoothing: self.miniters = self.smoothing * delta_it * \ (self.mininterval / delta_t if self.mininterval and delta_t else 1) + \ (1 - self.smoothing) * self.miniters else: self.miniters = max(self.miniters, delta_it) # Store old values for next call self.last_print_n = self.n self.last_print_t = cur_t
[docs] def close(self): """Cleanup and (if leave=False) close the progressbar.""" if self.disable: return # Prevent multiple closures self.disable = True # decrement instance pos and remove from internal set pos = abs(self.pos) self._decr_instances(self) # GUI mode if not hasattr(self, "sp"): return # annoyingly, _supports_unicode isn't good enough def fp_write(s): self.fp.write(_unicode(s)) try: fp_write('') except ValueError as e: if 'closed' in str(e): return raise # pragma: no cover leave = pos == 0 if self.leave is None else self.leave with self._lock: if leave: # stats for overall rate (no weighted average) self.avg_time = None self.display(pos=0) fp_write('\n') else: self.display(msg='', pos=pos) if not pos: fp_write('\r')
[docs] def clear(self, nolock=False): """Clear current bar display.""" if self.disable: return if not nolock: self._lock.acquire() self.moveto(abs(self.pos)) self.sp('') self.fp.write('\r') # place cursor back at the beginning of line self.moveto(-abs(self.pos)) if not nolock: self._lock.release()
[docs] def refresh(self, nolock=False): """Force refresh the display of this bar.""" if self.disable: return if not nolock: self._lock.acquire() self.display() if not nolock: self._lock.release()
[docs] def unpause(self): """Restart tqdm timer from last print time.""" cur_t = self._time() self.start_t += cur_t - self.last_print_t self.last_print_t = cur_t
[docs] def reset(self, total=None): """ Resets to 0 iterations for repeated use. Consider combining with `leave=True`. Parameters ---------- total : int, optional. Total to use for the new bar. """ self.last_print_n = self.n = 0 self.last_print_t = self.start_t = self._time() if total is not None: self.total = total self.refresh()
[docs] def set_description(self, desc=None, refresh=True): """ Set/modify description of the progress bar. Parameters ---------- desc : str, optional refresh : bool, optional Forces refresh [default: True]. """ self.desc = desc + ': ' if desc else '' if refresh: self.refresh()
[docs] def set_description_str(self, desc=None, refresh=True): """Set/modify description without ': ' appended.""" self.desc = desc or '' if refresh: self.refresh()
[docs] def set_postfix(self, ordered_dict=None, refresh=True, **kwargs): """ Set/modify postfix (additional stats) with automatic formatting based on datatype. Parameters ---------- ordered_dict : dict or OrderedDict, optional refresh : bool, optional Forces refresh [default: True]. kwargs : dict, optional """ # Sort in alphabetical order to be more deterministic postfix = _OrderedDict([] if ordered_dict is None else ordered_dict) for key in sorted(kwargs.keys()): postfix[key] = kwargs[key] # Preprocess stats according to datatype for key in postfix.keys(): # Number: limit the length of the string if isinstance(postfix[key], Number): postfix[key] = self.format_num(postfix[key]) # Else for any other type, try to get the string conversion elif not isinstance(postfix[key], _basestring): postfix[key] = str(postfix[key]) # Else if it's a string, don't need to preprocess anything # Stitch together to get the final postfix self.postfix = ', '.join(key + '=' + postfix[key].strip() for key in postfix.keys()) if refresh: self.refresh()
[docs] def set_postfix_str(self, s='', refresh=True): """ Postfix without dictionary expansion, similar to prefix handling. """ self.postfix = str(s) if refresh: self.refresh()
[docs] def moveto(self, n): # TODO: private method self.fp.write(_unicode('\n' * n + _term_move_up() * -n)) self.fp.flush()
@property def format_dict(self): """Public API for read-only member access.""" return dict( n=self.n, total=self.total, elapsed=self._time() - self.start_t if hasattr(self, 'start_t') else 0, ncols=self.dynamic_ncols(self.fp) if self.dynamic_ncols else self.ncols, prefix=self.desc, ascii=self.ascii, unit=self.unit, unit_scale=self.unit_scale, rate=1 / self.avg_time if self.avg_time else None, bar_format=self.bar_format, postfix=self.postfix, unit_divisor=self.unit_divisor)
[docs] def display(self, msg=None, pos=None): """ Use `self.sp` to display `msg` in the specified `pos`. Consider overloading this function when inheriting to use e.g.: `self.some_frontend(**self.format_dict)` instead of `self.sp`. Parameters ---------- msg : str, optional. What to display (default: `repr(self)`). pos : int, optional. Position to `moveto` (default: `abs(self.pos)`). """ if pos is None: pos = abs(self.pos) if pos: self.moveto(pos) self.sp(self.__repr__() if msg is None else msg) if pos: self.moveto(-pos)
def trange(*args, **kwargs): """ A shortcut for tqdm(xrange(*args), **kwargs). On Python3+ range is used instead of xrange. """ return tqdm(_range(*args), **kwargs)