ai-content-maker/.venv/Lib/site-packages/tqdm/std.py

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2024-05-03 04:18:51 +03:00
"""
Customisable progressbar decorator for iterators.
Includes a default `range` iterator printing to `stderr`.
Usage:
>>> from tqdm import trange, tqdm
>>> for i in trange(10):
... ...
"""
import sys
from collections import OrderedDict, defaultdict
from contextlib import contextmanager
from datetime import datetime, timedelta, timezone
from numbers import Number
from time import time
from warnings import warn
from weakref import WeakSet
from ._monitor import TMonitor
from .utils import (
CallbackIOWrapper, Comparable, DisableOnWriteError, FormatReplace, SimpleTextIOWrapper,
_is_ascii, _screen_shape_wrapper, _supports_unicode, _term_move_up, disp_len, disp_trim,
envwrap)
__author__ = "https://github.com/tqdm/tqdm#contributions"
__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
def TRLock(*args, **kwargs):
"""threading RLock"""
try:
from threading import RLock
return RLock(*args, **kwargs)
except (ImportError, OSError): # pragma: no cover
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.
"""
# global thread lock so no setup required for multithreading.
# NB: Do not create multiprocessing lock as it sets the multiprocessing
# context, disallowing `spawn()`/`forkserver()`
th_lock = TRLock()
def __init__(self):
# Create global parallelism locks to avoid racing issues with parallel
# bars works only if fork available (Linux/MacOSX, but not Windows)
cls = type(self)
root_lock = cls.th_lock
if root_lock is not None:
root_lock.acquire()
cls.create_mp_lock()
self.locks = [lk for lk in [cls.mp_lock, cls.th_lock] if lk is not None]
if root_lock is not None:
root_lock.release()
def acquire(self, *a, **k):
for lock in self.locks:
lock.acquire(*a, **k)
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()
except (ImportError, OSError): # pragma: no cover
cls.mp_lock = None
@classmethod
def create_th_lock(cls):
assert hasattr(cls, 'th_lock')
warn("create_th_lock not needed anymore", TqdmDeprecationWarning, stacklevel=2)
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(chr, range(0x258F, 0x2587, -1)))
BLANK = " "
COLOUR_RESET = '\x1b[0m'
COLOUR_RGB = '\x1b[38;2;%d;%d;%dm'
COLOURS = {'BLACK': '\x1b[30m', 'RED': '\x1b[31m', 'GREEN': '\x1b[32m',
'YELLOW': '\x1b[33m', 'BLUE': '\x1b[34m', 'MAGENTA': '\x1b[35m',
'CYAN': '\x1b[36m', 'WHITE': '\x1b[37m'}
def __init__(self, frac, default_len=10, charset=UTF, colour=None):
if not 0 <= frac <= 1:
warn("clamping frac to range [0, 1]", TqdmWarning, stacklevel=2)
frac = max(0, min(1, frac))
assert default_len > 0
self.frac = frac
self.default_len = default_len
self.charset = charset
self.colour = colour
@property
def colour(self):
return self._colour
@colour.setter
def colour(self, value):
if not value:
self._colour = None
return
try:
if value.upper() in self.COLOURS:
self._colour = self.COLOURS[value.upper()]
elif value[0] == '#' and len(value) == 7:
self._colour = self.COLOUR_RGB % tuple(
int(i, 16) for i in (value[1:3], value[3:5], value[5:7]))
else:
raise KeyError
except (KeyError, AttributeError):
warn("Unknown colour (%s); valid choices: [hex (#00ff00), %s]" % (
value, ", ".join(self.COLOURS)),
TqdmWarning, stacklevel=2)
self._colour = None
def __format__(self, format_spec):
if format_spec:
_type = format_spec[-1].lower()
try:
charset = {'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)
res = charset[-1] * bar_length
if bar_length < N_BARS: # whitespace padding
res = res + charset[frac_bar_length] + charset[0] * (N_BARS - bar_length - 1)
return self.colour + res + self.COLOUR_RESET if self.colour else res
class EMA(object):
"""
Exponential moving average: smoothing to give progressively lower
weights to older values.
Parameters
----------
smoothing : float, optional
Smoothing factor in range [0, 1], [default: 0.3].
Increase to give more weight to recent values.
Ranges from 0 (yields old value) to 1 (yields new value).
"""
def __init__(self, smoothing=0.3):
self.alpha = smoothing
self.last = 0
self.calls = 0
def __call__(self, x=None):
"""
Parameters
----------
x : float
New value to include in EMA.
"""
beta = 1 - self.alpha
if x is not None:
self.last = self.alpha * x + beta * self.last
self.calls += 1
return self.last / (1 - beta ** self.calls) if self.calls else self.last
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.
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 or float, 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 number,
e.g. 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 or float, 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` and `nrows` 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, nrows, desc, unit,
rate, rate_fmt, rate_noinv, rate_noinv_fmt,
rate_inv, rate_inv_fmt, postfix, unit_divisor,
remaining, remaining_s, eta.
Note that a trailing ": " is automatically removed after {desc}
if the latter is empty.
initial : int or float, optional
The initial counter value. Useful when restarting a progress
bar [default: 0]. If using float, consider specifying `{n:.3f}`
or similar in `bar_format`, or specifying `unit_scale`.
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
Whether to write bytes. If (default: False) will write unicode.
lock_args : tuple, optional
Passed to `refresh` for intermediate output
(initialisation, iterating, and updating).
nrows : int, optional
The screen height. If specified, hides nested bars outside this
bound. If unspecified, attempts to use environment height.
The fallback is 20.
colour : str, optional
Bar colour (e.g. 'green', '#00ff00').
delay : float, optional
Don't display until [default: 0] seconds have elapsed.
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.
"""
monitor_interval = 10 # set to 0 to disable the thread
monitor = None
_instances = WeakSet()
@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 f'{num:1.2f}{unit}{suffix}'
return f'{num:2.1f}{unit}{suffix}'
return f'{num:3.0f}{unit}{suffix}'
num /= divisor
return f'{num:3.1f}Y{suffix}'
@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)
return f'{h:d}:{m:02d}:{s:02d}' if h else f'{m:02d}:{s:02d}'
@staticmethod
def format_num(n):
"""
Intelligent scientific notation (.3g).
Parameters
----------
n : int or float or Numeric
A Number.
Returns
-------
out : str
Formatted number.
"""
f = f'{n:.3g}'.replace('e+0', 'e+').replace('e-0', 'e-')
n = str(n)
return f if len(f) < len(n) else n
@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
if fp in (sys.stderr, sys.stdout):
getattr(sys.stderr, 'flush', lambda: None)()
getattr(sys.stdout, 'flush', lambda: None)()
def fp_write(s):
fp.write(str(s))
fp_flush()
last_len = [0]
def print_status(s):
len_s = disp_len(s)
fp_write('\r' + s + (' ' * max(last_len[0] - len_s, 0)))
last_len[0] = len_s
return print_status
@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, initial=0, colour=None, **extra_kwargs):
"""
Return a string-based progress bar given some parameters
Parameters
----------
n : int or float
Number of finished iterations.
total : int or float
The expected total number of iterations. If meaningless (None),
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, nrows, desc, unit,
rate, rate_fmt, rate_noinv, rate_noinv_fmt,
rate_inv, rate_inv_fmt, postfix, unit_divisor,
remaining, remaining_s, eta.
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.
initial : int or float, optional
The initial counter value [default: 0].
colour : str, optional
Bar colour (e.g. 'green', '#00ff00').
Returns
-------
out : Formatted meter and stats, ready to display.
"""
# sanity check: total
if total and n >= (total + 0.5): # allow float imprecision (#849)
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 = self.avg_dn / self.avg_dt
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 - initial) / elapsed
inv_rate = 1 / rate if rate else None
format_sizeof = tqdm.format_sizeof
rate_noinv_fmt = ((format_sizeof(rate) if unit_scale else f'{rate:5.2f}')
if rate else '?') + unit + '/s'
rate_inv_fmt = (
(format_sizeof(inv_rate) if unit_scale else f'{inv_rate:5.2f}')
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 '?'
try:
eta_dt = (datetime.now() + timedelta(seconds=remaining)
if rate and total else datetime.fromtimestamp(0, timezone.utc))
except OverflowError:
eta_dt = datetime.max
# 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 = f'| {n_fmt}/{total_fmt} [{elapsed_str}<{remaining_str}, {rate_fmt}{postfix}]'
# Custom bar formatting
# Populate a dict with all available progress indicators
format_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,
'colour': colour,
# plus more useful definitions
'remaining': remaining_str, 'remaining_s': remaining,
'l_bar': l_bar, 'r_bar': r_bar, 'eta': eta_dt,
**extra_kwargs}
# total is known: we can predict some stats
if total:
# fractional and percentage progress
frac = n / total
percentage = frac * 100
l_bar += f'{percentage:3.0f}%|'
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:
return nobar # no `{bar}`; nothing else to do
# Formatting progress bar space available for bar's display
full_bar = Bar(frac,
max(1, ncols - disp_len(nobar)) if ncols else 10,
charset=Bar.ASCII if ascii is True else ascii or Bar.UTF,
colour=colour)
if not _is_ascii(full_bar.charset) and _is_ascii(bar_format):
bar_format = str(bar_format)
res = bar_format.format(bar=full_bar, **format_dict)
return disp_trim(res, ncols) if ncols else res
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 - disp_len(nobar)) if ncols else 10,
charset=Bar.BLANK, colour=colour)
res = bar_format.format(bar=full_bar, **format_dict)
return disp_trim(res, ncols) if ncols else res
else:
# no total: no progressbar, ETA, just progress stats
return (f'{(prefix + ": ") if prefix else ""}'
f'{n_fmt}{unit} [{elapsed_str}, {rate_fmt}{postfix}]')
def __new__(cls, *_, **__):
instance = object.__new__(cls)
with cls.get_lock(): # also constructs lock if non-existent
cls._instances.add(instance)
# create 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, stacklevel=2)
cls.monitor_interval = 0
return instance
@classmethod
def _get_free_pos(cls, instance=None):
"""Skips specified instance."""
positions = {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))
@classmethod
def _decr_instances(cls, instance):
"""
Remove from list and reposition another unfixed bar
to fill the new gap.
This means that by default (where all nested bars are unfixed),
order is not maintained but screen flicker/blank space is minimised.
(tqdm<=4.44.1 moved ALL subsequent unfixed bars up.)
"""
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:
last = (instance.nrows or 20) - 1
# find unfixed (`pos >= 0`) overflow (`pos >= nrows - 1`)
instances = list(filter(
lambda i: hasattr(i, "pos") and last <= i.pos,
cls._instances))
# set first found to current `pos`
if instances:
inst = min(instances, key=lambda i: i.pos)
inst.clear(nolock=True)
inst.pos = abs(instance.pos)
@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)
@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
try:
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)
finally:
if not nolock:
cls._lock.release()
@classmethod
def set_lock(cls, lock):
"""Set the global lock."""
cls._lock = lock
@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
@classmethod
def pandas(cls, **tqdm_kwargs):
"""
Registers the current `tqdm` class with
pandas.core.
( frame.DataFrame
| series.Series
| groupby.(generic.)DataFrameGroupBy
| groupby.(generic.)SeriesGroupBy
).progress_apply
A new instance will be created every time `progress_apply` is called,
and each instance will automatically `close()` upon completion.
Parameters
----------
tqdm_kwargs : 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 warnings import catch_warnings, simplefilter
from pandas.core.frame import DataFrame
from pandas.core.series import Series
try:
with catch_warnings():
simplefilter("ignore", category=FutureWarning)
from pandas import Panel
except ImportError: # pandas>=1.2.0
Panel = None
Rolling, Expanding = None, None
try: # pandas>=1.0.0
from pandas.core.window.rolling import _Rolling_and_Expanding
except ImportError:
try: # pandas>=0.18.0
from pandas.core.window import _Rolling_and_Expanding
except ImportError: # pandas>=1.2.0
try: # pandas>=1.2.0
from pandas.core.window.expanding import Expanding
from pandas.core.window.rolling import Rolling
_Rolling_and_Expanding = Rolling, Expanding
except ImportError: # pragma: no cover
_Rolling_and_Expanding = None
try: # pandas>=0.25.0
from pandas.core.groupby.generic import SeriesGroupBy # , NDFrameGroupBy
from pandas.core.groupby.generic import DataFrameGroupBy
except ImportError: # pragma: no cover
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: # pragma: no cover
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
tqdm_kwargs = tqdm_kwargs.copy()
deprecated_t = [tqdm_kwargs.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 = tqdm_kwargs.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 = cls(total=total, **tqdm_kwargs)
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))
try: # pandas>=1.3.0
from pandas.core.common import is_builtin_func
except ImportError:
is_builtin_func = df._is_builtin_func
try:
func = is_builtin_func(func)
except TypeError:
pass
# 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)
try:
return getattr(df, df_function)(wrapper, **kwargs)
finally:
t.close()
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')
DataFrame.progress_map = inner_generator('map')
DataFrameGroupBy.progress_map = inner_generator('map')
if Panel is not None:
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 is not None and Expanding is not None:
Rolling.progress_apply = inner_generator()
Expanding.progress_apply = inner_generator()
elif _Rolling_and_Expanding is not None:
_Rolling_and_Expanding.progress_apply = inner_generator()
# override defaults via env vars
@envwrap("TQDM_", is_method=True, types={'total': float, 'ncols': int, 'miniters': float,
'position': int, 'nrows': int})
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=False,
lock_args=None, nrows=None, colour=None, delay=0.0, gui=False,
**kwargs):
"""see tqdm.tqdm for arguments"""
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')
file = DisableOnWriteError(file, tqdm_instance=self)
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
self.leave = leave
return
if kwargs:
self.disable = True
with self._lock:
self.pos = self._get_free_pos(self)
self._instances.remove(self)
raise (
TqdmDeprecationWarning(
"`nested` is deprecated and automated.\n"
"Use `position` instead for manual control.\n",
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 or nrows is None) and (file in (sys.stderr, sys.stdout))
) or dynamic_ncols: # pragma: no cover
if dynamic_ncols:
dynamic_ncols = _screen_shape_wrapper()
if dynamic_ncols:
ncols, nrows = dynamic_ncols(file)
else:
_dynamic_ncols = _screen_shape_wrapper()
if _dynamic_ncols:
_ncols, _nrows = _dynamic_ncols(file)
if ncols is None:
ncols = _ncols
if nrows is None:
nrows = _nrows
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 ascii is not True and not _is_ascii(ascii):
# Convert bar format into unicode since terminal uses unicode
bar_format = str(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.nrows = nrows
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.initial = initial
self.lock_args = lock_args
self.delay = delay
self.gui = gui
self.dynamic_ncols = dynamic_ncols
self.smoothing = smoothing
self._ema_dn = EMA(smoothing)
self._ema_dt = EMA(smoothing)
self._ema_miniters = EMA(smoothing)
self.bar_format = bar_format
self.postfix = None
self.colour = colour
self._time = time
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:
# mark fixed positions as negative
self.pos = self._get_free_pos(self) if position is None else -position
if not gui:
# Initialize the screen printer
self.sp = self.status_printer(self.fp)
if delay <= 0:
self.refresh(lock_args=self.lock_args)
# 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
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)
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 self.iterable.__length_hint__() if hasattr(self.iterable, "__length_hint__")
else getattr(self, "total", None))
def __reversed__(self):
try:
orig = self.iterable
except AttributeError:
raise TypeError("'tqdm' object is not reversible")
else:
self.iterable = reversed(self.iterable)
return self.__iter__()
finally:
self.iterable = orig
def __contains__(self, item):
contains = getattr(self.iterable, '__contains__', None)
return contains(item) if contains is not None else item in self.__iter__()
def __enter__(self):
return self
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, stacklevel=2)
def __del__(self):
self.close()
def __str__(self):
return self.format_meter(**self.format_dict)
@property
def _comparable(self):
return abs(getattr(self, "pos", 1 << 31))
def __hash__(self):
return id(self)
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
last_print_t = self.last_print_t
last_print_n = self.last_print_n
min_start_t = self.start_t + self.delay
n = self.n
time = self._time
try:
for obj in iterable:
yield obj
# Update and possibly print the progressbar.
# Note: does not call self.update(1) for speed optimisation.
n += 1
if n - last_print_n >= self.miniters:
cur_t = time()
dt = cur_t - last_print_t
if dt >= mininterval and cur_t >= min_start_t:
self.update(n - last_print_n)
last_print_n = self.last_print_n
last_print_t = self.last_print_t
finally:
self.n = n
self.close()
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 or float, optional
Increment to add to the internal counter of iterations
[default: 1]. If using float, consider specifying `{n:.3f}`
or similar in `bar_format`, or specifying `unit_scale`.
Returns
-------
out : bool or None
True if a `display()` was triggered.
"""
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:
cur_t = self._time()
dt = cur_t - self.last_print_t
if dt >= self.mininterval and cur_t >= self.start_t + self.delay:
cur_t = self._time()
dn = self.n - self.last_print_n # >= n
if self.smoothing and dt and dn:
# EMA (not just overall average)
self._ema_dn(dn)
self._ema_dt(dt)
self.refresh(lock_args=self.lock_args)
if self.dynamic_miniters:
# 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.maxinterval and dt >= self.maxinterval:
self.miniters = dn * (self.mininterval or self.maxinterval) / dt
elif self.smoothing:
# EMA miniters update
self.miniters = self._ema_miniters(
dn * (self.mininterval / dt if self.mininterval and dt
else 1))
else:
# max iters between two prints
self.miniters = max(self.miniters, dn)
# Store old values for next call
self.last_print_n = self.n
self.last_print_t = cur_t
return True
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)
if self.last_print_t < self.start_t + self.delay:
# haven't ever displayed; nothing to clear
return
# GUI mode
if getattr(self, 'sp', None) is None:
return
# annoyingly, _supports_unicode isn't good enough
def fp_write(s):
self.fp.write(str(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._ema_dt = lambda: None
self.display(pos=0)
fp_write('\n')
else:
# clear previous display
if self.display(msg='', pos=pos) and not pos:
fp_write('\r')
def clear(self, nolock=False):
"""Clear current bar display."""
if self.disable:
return
if not nolock:
self._lock.acquire()
pos = abs(self.pos)
if pos < (self.nrows or 20):
self.moveto(pos)
self.sp('')
self.fp.write('\r') # place cursor back at the beginning of line
self.moveto(-pos)
if not nolock:
self._lock.release()
def refresh(self, nolock=False, lock_args=None):
"""
Force refresh the display of this bar.
Parameters
----------
nolock : bool, optional
If `True`, does not lock.
If [default: `False`]: calls `acquire()` on internal lock.
lock_args : tuple, optional
Passed to internal lock's `acquire()`.
If specified, will only `display()` if `acquire()` returns `True`.
"""
if self.disable:
return
if not nolock:
if lock_args:
if not self._lock.acquire(*lock_args):
return False
else:
self._lock.acquire()
self.display()
if not nolock:
self._lock.release()
return True
def unpause(self):
"""Restart tqdm timer from last print time."""
if self.disable:
return
cur_t = self._time()
self.start_t += cur_t - self.last_print_t
self.last_print_t = cur_t
def reset(self, total=None):
"""
Resets to 0 iterations for repeated use.
Consider combining with `leave=True`.
Parameters
----------
total : int or float, optional. Total to use for the new bar.
"""
self.n = 0
if total is not None:
self.total = total
if self.disable:
return
self.last_print_n = 0
self.last_print_t = self.start_t = self._time()
self._ema_dn = EMA(self.smoothing)
self._ema_dt = EMA(self.smoothing)
self._ema_miniters = EMA(self.smoothing)
self.refresh()
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()
def set_description_str(self, desc=None, refresh=True):
"""Set/modify description without ': ' appended."""
self.desc = desc or ''
if refresh:
self.refresh()
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], str):
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()
def set_postfix_str(self, s='', refresh=True):
"""
Postfix without dictionary expansion, similar to prefix handling.
"""
self.postfix = str(s)
if refresh:
self.refresh()
def moveto(self, n):
# TODO: private method
self.fp.write('\n' * n + _term_move_up() * -n)
getattr(self.fp, 'flush', lambda: None)()
@property
def format_dict(self):
"""Public API for read-only member access."""
if self.disable and not hasattr(self, 'unit'):
return defaultdict(lambda: None, {
'n': self.n, 'total': self.total, 'elapsed': 0, 'unit': 'it'})
if self.dynamic_ncols:
self.ncols, self.nrows = self.dynamic_ncols(self.fp)
return {
'n': self.n, 'total': self.total,
'elapsed': self._time() - self.start_t if hasattr(self, 'start_t') else 0,
'ncols': self.ncols, 'nrows': self.nrows, 'prefix': self.desc,
'ascii': self.ascii, 'unit': self.unit, 'unit_scale': self.unit_scale,
'rate': self._ema_dn() / self._ema_dt() if self._ema_dt() else None,
'bar_format': self.bar_format, 'postfix': self.postfix,
'unit_divisor': self.unit_divisor, 'initial': self.initial,
'colour': self.colour}
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)
nrows = self.nrows or 20
if pos >= nrows - 1:
if pos >= nrows:
return False
if msg or msg is None: # override at `nrows - 1`
msg = " ... (more hidden) ..."
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))
if pos:
self.moveto(pos)
self.sp(self.__str__() if msg is None else msg)
if pos:
self.moveto(-pos)
return True
@classmethod
@contextmanager
def wrapattr(cls, stream, method, total=None, bytes=True, **tqdm_kwargs):
"""
stream : file-like object.
method : str, "read" or "write". The result of `read()` and
the first argument of `write()` should have a `len()`.
>>> with tqdm.wrapattr(file_obj, "read", total=file_obj.size) as fobj:
... while True:
... chunk = fobj.read(chunk_size)
... if not chunk:
... break
"""
with cls(total=total, **tqdm_kwargs) as t:
if bytes:
t.unit = "B"
t.unit_scale = True
t.unit_divisor = 1024
yield CallbackIOWrapper(t.update, stream, method)
def trange(*args, **kwargs):
"""Shortcut for tqdm(range(*args), **kwargs)."""
return tqdm(range(*args), **kwargs)