tqdm-conan 4.27.0

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tqdmconan 4.27.0

|Logo|tqdm====|PyPI-Status| |PyPI-Versions| |Conda-Forge-Status||Build-Status| |Coverage-Status| |Branch-Coverage-Status| |Codacy-Grade||DOI-URI| |LICENCE| |OpenHub-Status|``tqdm`` means "progress" in Arabic (taqadum, تقدّم)and is an abbreviation for "I love you so much" in Spanish (te quiero demasiado).Instantly make your loops show a smart progress meter - just wrap anyiterable with ``tqdm(iterable)``, and you're done!.. code:: python from tqdm import tqdm for i in tqdm(range(10000)): ...``76%|████████████████████████████         | 7568/10000 [00:33<00:10, 229.00it/s]````trange(N)`` can be also used as a convenient shortcut for``tqdm(xrange(N))``.|Screenshot| REPL: `ptpython <https://github.com/jonathanslenders/ptpython>`__It can also be executed as a module with pipes:.. code:: sh seq9999999|tqdm−−unitscale|wc−l10.0Mit[00:02,3.58Mit/s]9999999 7z a -bd -r backup.7z docs/ | grep Compressing | \ tqdm --total Missing open brace for subscriptMissing open brace for subscript time find . -name '*.py' -exec cat \{} \; | wc -l 857365 real 0m3.458s user 0m0.274s sys 0m3.325s Extra close brace or missing open braceExtra close brace or missing open brace find . -name '*.py' -exec cat \{} \; | tqdm --unit loc --unit_scale --total 857366 >> /dev/null 100%|███████████████████████████████████| 857K/857K [00:04<00:00, 246Kloc/s]Backing up a large directory?.. code:: sh 7za−bd−rbackup.7zdocs/|grepCompressing|tqdm−−total(find docs/ -type f | wc -l) --unit files >> backup.log 100%|███████████████████████████████▉| 8014/8014 [01:37<00:00, 82.29files/s]FAQ and Known Issues--------------------|GitHub-Issues|The most common issues relate to excessive output on multiple lines, insteadof a neat one-line progress bar.- Consoles in general: require support for carriage return (``CR``, ``\r``).- Nested progress bars: * Consoles in general: require support for moving cursors up to the previous line. For example, `IDLE <https://github.com/tqdm/tqdm/issues/191#issuecomment-230168030>`__, `ConEmu <https://github.com/tqdm/tqdm/issues/254>`__ and `PyCharm <https://github.com/tqdm/tqdm/issues/203>`__ (also `here <https://github.com/tqdm/tqdm/issues/208>`__, `here <https://github.com/tqdm/tqdm/issues/307>`__, and `here <https://github.com/tqdm/tqdm/issues/454#issuecomment-335416815>`__) lack full support. * Windows: additionally may require the Python module ``colorama`` to ensure nested bars stay within their respective lines.- Unicode: * Environments which report that they support unicode will have solid smooth progressbars. The fallback is an `ascii`-only bar. * Windows consoles often only partially support unicode and thus `often require explicit ascii=True <https://github.com/tqdm/tqdm/issues/454#issuecomment-335416815>`__ (also `here <https://github.com/tqdm/tqdm/issues/499>`__). This is due to either normal-width unicode characters being incorrectly displayed as "wide", or some unicode characters not rendering.- Wrapping enumerated iterables: use ``enumerate(tqdm(...))`` instead of ``tqdm(enumerate(...))``. The same applies to ``numpy.ndenumerate``. This is because enumerate functions tend to hide the length of iterables. ``tqdm`` does not.- Wrapping zipped iterables has similar issues due to internal optimisations. ``tqdm(zip(a, b))`` should be replaced with ``zip(tqdm(a), b)`` or even ``zip(tqdm(a), tqdm(b))``.If you come across any other difficulties, browse and file |GitHub-Issues|.Documentation-------------|PyPI-Versions| |README-Hits| (Since 19 May 2016).. code:: python class tqdm(object): """ 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. """ 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):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. 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.* 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.* 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, optional If unspecified or False, use unicode (smooth blocks) to fill the meter. The fallback is to use ASCII characters ``1-9 #``.* 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, rate, rate_fmt, rate_noinv, rate_noinv_fmt, rate_inv, rate_inv_fmt, elapsed, remaining, desc, postfix. 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.Extra CLI Options~~~~~~~~~~~~~~~~~* delim : chr, optional Delimiting character [default: '\n']. Use '\0' for null. N.B.: on Windows systems, Python converts '\n' to '\r\n'.* buf_size : int, optional String buffer size in bytes [default: 256] used when ``delim`` is specified.* bytes : bool, optional If true, will count bytes and ignore ``delim``.Returns~~~~~~~* out : decorated iterator... code:: python 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]. """ def close(self): """ Cleanup and (if leave=False) close the progressbar. """ def unpause(self): """ Restart tqdm timer from last print time. """ def clear(self, nomove=False): """ Clear current bar display """ def refresh(self): """ Force refresh the display of this bar """ def write(cls, s, file=sys.stdout, end="\n"): """ Print a message via tqdm (without overlap with bars) """ 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]. """ def set_postfix(self, ordered_dict=None, refresh=True, **kwargs): """ Set/modify postfix (additional stats) with automatic formatting based on datatype. Parameters ---------- refresh : bool, optional Forces refresh [default: True]. """ def trange(*args, **kwargs): """ A shortcut for tqdm(xrange(*args), **kwargs). On Python3+ range is used instead of xrange. """ class tqdm_gui(tqdm): """ Experimental GUI version of tqdm! """ def tgrange(*args, **kwargs): """ Experimental GUI version of trange! """ class tqdm_notebook(tqdm): """ Experimental IPython/Jupyter Notebook widget using tqdm! """ def tnrange(*args, **kwargs): """ Experimental IPython/Jupyter Notebook widget using tqdm! """Examples and Advanced Usage---------------------------- See the `examples <https://github.com/tqdm/tqdm/tree/master/examples>`__ folder;- import the module and run ``help()``, or- consult the `wiki <https://github.com/tqdm/tqdm/wiki>`__. - this has an `excellent article <https://github.com/tqdm/tqdm/wiki/How-to-make-a-great-Progress-Bar>`__ on how to make a **great** progressbar.Description and additional stats~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~Custom information can be displayed and updated dynamically on ``tqdm`` barswith the ``desc`` and ``postfix`` arguments:.. code:: python from tqdm import trange from random import random, randint from time import sleep with trange(100) as t: for i in t: # Description will be displayed on the left t.set_description('GEN %i' % i) # Postfix will be displayed on the right, # formatted automatically based on argument's datatype t.set_postfix(loss=random(), gen=randint(1,999), str='h', lst=[1, 2]) sleep(0.1) with tqdm(total=10, bar_format="{postfix[0]} {postfix[1][value]:>8.2g}", postfix=["Batch", dict(value=0)]) as t: for i in range(10): sleep(0.1) t.postfix[1]["value"] = i / 2 t.update()Points to remember when using ``{postfix[...]}`` in the ``bar_format`` string:- ``postfix`` also needs to be passed as an initial argument in a compatible format, and- ``postfix`` will be auto-converted to a string if it is a ``dict``-like object. To prevent this behaviour, insert an extra item into the dictionary where the key is not a string.Nested progress bars~~~~~~~~~~~~~~~~~~~~``tqdm`` supports nested progress bars. Here's an example:.. code:: python from tqdm import trange from time import sleep for i in trange(10, desc='1st loop'): for j in trange(5, desc='2nd loop', leave=False): for k in trange(100, desc='3nd loop'): sleep(0.01)On Windows `colorama <https://github.com/tartley/colorama>`__ will be used ifavailable to keep nested bars on their respective lines.For manual control over positioning (e.g. for multi-threaded use),you may specify ``position=n`` where ``n=0`` for the outermost bar,``n=1`` for the next, and so on:.. code:: python from time import sleep from tqdm import trange, tqdm from multiprocessing import Pool, freeze_support, RLock L = list(range(9)) def progresser(n): interval = 0.001 / (n + 2) total = 5000 text = "#{}, est. {:<04.2}s".format(n, interval * total) for i in trange(total, desc=text, position=n): sleep(interval) if __name__ == '__main__': freeze_support() # for Windows support p = Pool(len(L), # again, for Windows support initializer=tqdm.set_lock, initargs=(RLock(),)) p.map(progresser, L) print("\n" * (len(L) - 2))Hooks and callbacks~~~~~~~~~~~~~~~~~~~``tqdm`` can easily support callbacks/hooks and manual updates.Here's an example with ``urllib``:**urllib.urlretrieve documentation** | [...] | If present, the hook function will be called once | on establishment of the network connection and once after each block read | thereafter. The hook will be passed three arguments; a count of blocks | transferred so far, a block size in bytes, and the total size of the file. | [...].. code:: python import urllib, os from tqdm import tqdm class TqdmUpTo(tqdm): """Provides `update_to(n)` which uses `tqdm.update(delta_n)`.""" def update_to(self, b=1, bsize=1, tsize=None): """ b : int, optional Number of blocks transferred so far [default: 1]. bsize : int, optional Size of each block (in tqdm units) [default: 1]. tsize : int, optional Total size (in tqdm units). If [default: None] remains unchanged. """ if tsize is not None: self.total = tsize self.update(b * bsize - self.n) # will also set self.n = b * bsize eg_link = "https://caspersci.uk.to/matryoshka.zip" with TqdmUpTo(unit='B', unit_scale=True, miniters=1, desc=eg_link.split('/')[-1]) as t: # all optional kwargs urllib.urlretrieve(eg_link, filename=os.devnull, reporthook=t.update_to, data=None)Inspired by `twine#242 <https://github.com/pypa/twine/pull/242>`__.Functional alternative in`examples/tqdm_wget.py <https://github.com/tqdm/tqdm/blob/master/examples/tqdm_wget.py>`__.It is recommend to use ``miniters=1`` whenever there is potentiallylarge differences in iteration speed (e.g. downloading a file overa patchy connection).Pandas Integration~~~~~~~~~~~~~~~~~~Due to popular demand we've added support for ``pandas`` -- here's an examplefor ``DataFrame.progress_apply`` and ``DataFrameGroupBy.progress_apply``:.. code:: python import pandas as pd import numpy as np from tqdm import tqdm df = pd.DataFrame(np.random.randint(0, 100, (100000, 6))) # Register `pandas.progress_apply` and `pandas.Series.map_apply` with `tqdm` # (can use `tqdm_gui`, `tqdm_notebook`, optional kwargs, etc.) tqdm.pandas(desc="my bar!") # Now you can use `progress_apply` instead of `apply` # and `progress_map` instead of `map` df.progress_apply(lambda x: x**2) # can also groupby: # df.groupby(0).progress_apply(lambda x: x**2)In case you're interested in how this works (and how to modify it for yourown callbacks), see the`examples <https://github.com/tqdm/tqdm/tree/master/examples>`__folder or import the module and run ``help()``.IPython/Jupyter Integration~~~~~~~~~~~~~~~~~~~~~~~~~~~~IPython/Jupyter is supported via the ``tqdm_notebook`` submodule:.. code:: python from tqdm import tnrange, tqdm_notebook from time import sleep for i in tnrange(10, desc='1st loop'): for j in tqdm_notebook(xrange(100), desc='2nd loop'): sleep(0.01)In addition to ``tqdm`` features, the submodule provides a native Jupyterwidget (compatible with IPython v1-v4 and Jupyter), fully working nested barsand color hints (blue: normal, green: completed, red: error/interrupt,light blue: no ETA); as demonstrated below.|Screenshot-Jupyter1||Screenshot-Jupyter2||Screenshot-Jupyter3|It is also possible to let ``tqdm`` automatically choose betweenconsole or notebook versions by using the ``autonotebook`` submodule:.. code:: python from tqdm.autonotebook import tqdm tqdm.pandas()Note that this will issue a ``TqdmExperimentalWarning`` if run in a notebooksince it is not meant to be possible to distinguish between ``jupyter notebook``and ``jupyter console``. Use ``auto`` instead of ``autonotebook`` to suppressthis warning.Writing messages~~~~~~~~~~~~~~~~Since ``tqdm`` uses a simple printing mechanism to display progress bars,you should not write any message in the terminal using ``print()`` whilea progressbar is open.To write messages in the terminal without any collision with ``tqdm`` bardisplay, a ``.write()`` method is provided:.. code:: python from tqdm import tqdm, trange from time import sleep bar = trange(10) for i in bar: # Print using tqdm class method .write() sleep(0.1) if not (i % 3): tqdm.write("Done task %i" % i) # Can also use bar.write()By default, this will print to standard output ``sys.stdout``. but you canspecify any file-like object using the ``file`` argument. For example, thiscan be used to redirect the messages writing to a log file or class.Redirecting writing~~~~~~~~~~~~~~~~~~~If using a library that can print messages to the console, editing the libraryby replacing ``print()`` with ``tqdm.write()`` may not be desirable.In that case, redirecting ``sys.stdout`` to ``tqdm.write()`` is an option.To redirect ``sys.stdout``, create a file-like class that will writeany input string to ``tqdm.write()``, and supply the arguments``file=sys.stdout, dynamic_ncols=True``.A reusable canonical example is given below:.. code:: python from time import sleep import contextlib import sys from tqdm import tqdm class DummyTqdmFile(object): """Dummy file-like that will write to tqdm""" file = None def __init__(self, file): self.file = file def write(self, x): # Avoid print() second call (useless \n) if len(x.rstrip()) > 0: tqdm.write(x, file=self.file) def flush(self): return getattr(self.file, "flush", lambda: None)() @contextlib.contextmanager def std_out_err_redirect_tqdm(): orig_out_err = sys.stdout, sys.stderr try: sys.stdout, sys.stderr = map(DummyTqdmFile, orig_out_err) yield orig_out_err[0] # Relay exceptions except Exception as exc: raise exc # Always restore sys.stdout/err if necessary finally: sys.stdout, sys.stderr = orig_out_err def some_fun(i): print("Fee, fi, fo,".split()[i]) # Redirect stdout to tqdm.write() (don't forget the `as save_stdout`) with std_out_err_redirect_tqdm() as orig_stdout: # tqdm needs the original stdout # and dynamic_ncols=True to autodetect console width for i in tqdm(range(3), file=orig_stdout, dynamic_ncols=True): sleep(.5) some_fun(i) # After the `with`, printing is restored print("Done!")Monitoring thread, intervals and miniters~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~``tqdm`` implements a few tricks to to increase efficiency and reduce overhead.- Avoid unnecessary frequent bar refreshing: ``mininterval`` defines how long to wait between each refresh. ``tqdm`` always gets updated in the background, but it will diplay only every ``mininterval``.- Reduce number of calls to check system clock/time.- ``mininterval`` is more intuitive to configure than ``miniters``. A clever adjustment system ``dynamic_miniters`` will automatically adjust ``miniters`` to the amount of iterations that fit into time ``mininterval``. Essentially, ``tqdm`` will check if it's time to print without actually checking time. This behaviour can be still be bypassed by manually setting ``miniters``.However, consider a case with a combination of fast and slow iterations.After a few fast iterations, ``dynamic_miniters`` will set ``miniters`` to alarge number. When iteration rate subsequently slows, ``miniters`` willremain large and thus reduce display update frequency. To address this:- ``maxinterval`` defines the maximum time between display refreshes. A concurrent monitoring thread checks for overdue updates and forces one where necessary.The monitoring thread should not have a noticeable overhead, and guaranteesupdates at least every 10 seconds by default.This value can be directly changed by setting the ``monitor_interval`` ofany ``tqdm`` instance (i.e. ``t = tqdm.tqdm(...); t.monitor_interval = 2``).The monitor thread may be disabled application-wide by setting``tqdm.tqdm.monitor_interval = 0`` before instantiatiation of any ``tqdm`` bar.Contributions-------------|GitHub-Commits| |GitHub-Issues| |GitHub-PRs| |OpenHub-Status|All source code is hosted on `GitHub <https://github.com/tqdm/tqdm>`__.Contributions are welcome.See the`CONTRIBUTING <https://raw.githubusercontent.com/tqdm/tqdm/master/CONTRIBUTING.md>`__file for more information.Ports to Other Languages~~~~~~~~~~~~~~~~~~~~~~~~A list is available on`this wiki page <https://github.com/tqdm/tqdm/wiki/tqdm-ports>`__.LICENCE-------Open Source (OSI approved): |LICENCE|Citation information: |DOI-URI|Authors-------The main developers, ranked by surviving lines of code(`git fame -wMC <https://github.com/casperdcl/git-fame>`__), are:- Casper da Costa-Luis (`casperdcl <https://github.com/casperdcl>`__, ~2/3, |Gift-Casper|)- Stephen Larroque (`lrq3000 <https://github.com/lrq3000>`__, ~1/5)- Hadrien Mary (`hadim <https://github.com/hadim>`__, ~2%)- Guangshuo Chen (`chengs <https://github.com/chengs>`__, ~1%)- Noam Yorav-Raphael (`noamraph <https://github.com/noamraph>`__, ~1%, original author)- Mikhail Korobov (`kmike <https://github.com/kmike>`__, ~1%)There are also many |GitHub-Contributions| which we are grateful for.|README-Hits| (Since 19 May 2016).. |Logo| image:: https://raw.githubusercontent.com/tqdm/tqdm/master/images/logo.gif.. |Screenshot| image:: https://raw.githubusercontent.com/tqdm/tqdm/master/images/tqdm.gif.. |Build-Status| image:: https://travis-ci.org/tqdm/tqdm.svg?branch=master :target: https://travis-ci.org/tqdm/tqdm.. |Coverage-Status| image:: 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