tqdm | A Fast , Extensible Progress Bar for Python and CLI | Command Line Interface library

 by   tqdm Python Version: 4.66.2 License: Non-SPDX

kandi X-RAY | tqdm Summary

kandi X-RAY | tqdm Summary

tqdm is a Python library typically used in Utilities, Command Line Interface applications. tqdm has no bugs, it has no vulnerabilities, it has build file available and it has high support. However tqdm has a Non-SPDX License. You can install using 'pip install tqdm' or download it from GitHub, PyPI.

A Fast, Extensible Progress Bar for Python and CLI

            kandi-support Support

              tqdm has a highly active ecosystem.
              It has 25025 star(s) with 1277 fork(s). There are 213 watchers for this library.
              There were 1 major release(s) in the last 6 months.
              There are 347 open issues and 569 have been closed. On average issues are closed in 189 days. There are 101 open pull requests and 0 closed requests.
              It has a negative sentiment in the developer community.
              The latest version of tqdm is 4.66.2

            kandi-Quality Quality

              tqdm has 0 bugs and 0 code smells.

            kandi-Security Security

              tqdm has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              tqdm code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              tqdm has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              tqdm releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              It has 5564 lines of code, 438 functions and 62 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed tqdm and discovered the below as its top functions. This is intended to give you an instant insight into tqdm implemented functionality, and help decide if they suit your requirements.
            • Process instances
            • Get the lock
            • Get instances of tqdm_cls
            • Refresh the widget
            • A context manager that allows you to change the bars
            • Display the progress bar
            • Close progress bar
            • Format a time
            • Format a time bar
            • Run the progress bar
            • Write text to chat
            • Write text to file
            • A parallel map function
            • Decorator to return the shape of the screen
            • Progress bar
            • Convert docstring to rst
            • Display the tqdm progress bar
            • Set the description
            • Writes a pipe to fout
            • Edit the message text
            • Returns a function that prints the status of the given file
            • Reset the parameters
            • Apply a function to a map
            • A context manager that temporarily clears the bar
            • Cast val to given typ
            • Create a tqdm progress bar
            • Initialize tqdm progress bar
            Get all kandi verified functions for this library.

            tqdm Key Features

            No Key Features are available at this moment for tqdm.

            tqdm Examples and Code Snippets

            Pythondot img1Lines of Code : 0dot img1License : Non-SPDX (NOASSERTION)
            copy iconCopy
            from tqdm import tqdm
            for i in tqdm(range(10000)):
            $ seq 9999999 | tqdm --bytes | wc -l
            75.2MB [00:00, 217MB/s]
            $ tar -zcf - docs/ | tqdm --bytes --total `du -sb docs/ | cut -f1` \
                > backup.tgz
            Interoperability with `tqdm` iterations
            Pythondot img2Lines of Code : 0dot img2License : Permissive (MIT)
            copy iconCopy
            from loguru import logger
            from tqdm import tqdm
            logger.add(lambda msg: tqdm.write(msg, end=""), colorize=True)
            for x in tqdm(range(100)):
                logger.info("Iterating #{}", x)
            tqdm - 7zx
            Pythondot img3Lines of Code : 82dot img3License : Non-SPDX
            copy iconCopy
            # -*- coding: utf-8 -*-
              7zx.py [--help | options] ...
              -h, --help     Print this help and exit
              -v, --version  Print version and exit
              -c, --compressed       Use compressed (instead of uncompressed) file sizes
              -s, --silent   
            tqdm - parallel bars
            Pythondot img4Lines of Code : 46dot img4License : Non-SPDX
            copy iconCopy
            from __future__ import print_function
            import sys
            from concurrent.futures import ThreadPoolExecutor
            from functools import partial
            from multiprocessing import Pool, RLock, freeze_support
            from random import random
            from threading import RLock as TRLock
            tqdm - coroutine pipe
            Pythondot img5Lines of Code : 36dot img5License : Non-SPDX
            copy iconCopy
            Inserting `tqdm` as a "pipe" in a chain of coroutines.
            Not to be confused with `asyncio.coroutine`.
            from functools import wraps
            from tqdm.auto import tqdm
            def autonext(func):
                def inner(*args, **kwargs):
                    res = f  

            Community Discussions


            Get the postfix string in tqdm
            Asked 2022-Apr-08 at 13:57

            I have a tqdm progressbar. I set the postfix string using the method set_postfix_str in some part of my code. In another part, I need to append to this string. Here is an MWE.



            Answered 2022-Apr-08 at 13:57

            You could just append the new postfix to the old one like so:

            Source https://stackoverflow.com/questions/71797809


            BeautifulSoup and pd.read_html - how to save the links into separate column in the final dataframe?
            Asked 2022-Mar-31 at 13:28

            My question is somehow similiar to this one: How to save out in a new column the url which is reading pandas read_html() function?

            I have a set of links that contain tables (4 tables each and I need only first three of them). The goal is to store the link of each table in the separate 'address' column.



            Answered 2022-Mar-31 at 13:28

            You are close to your goal - Add df['address'] in each iteration to your DataFrame before appending it to your list:

            Source https://stackoverflow.com/questions/71692223


            tf2.0: Gradient Tape returns None gradient in RNN model
            Asked 2022-Mar-27 at 23:56

            In a model with an embedding layer and SimpleRNN layer, I would like to compute the partial derivative dh_t/dh_0 for each step t.

            The structure of my model, including imports and data preprocessing.
            Toxic comment train data available: https://www.kaggle.com/c/jigsaw-multilingual-toxic-comment-classification/data?select=jigsaw-toxic-comment-train.csv
            GloVe 6B 100d embeddings available: https://nlp.stanford.edu/projects/glove/



            Answered 2022-Feb-18 at 14:02

            You could maybe try using tf.gradients. Also rather use tf.Variable for h0:

            Source https://stackoverflow.com/questions/71153292


            PIP failed to build package cytoolz
            Asked 2022-Mar-26 at 18:26

            I'm trying to install eth-brownie using 'pipx install eth-brownie' but I get an error saying



            Answered 2022-Jan-02 at 09:59

            I used pip install eth-brownie and it worked fine, I didnt need to downgrade. Im new to this maybe I could be wrong but it worked fine with me.

            Source https://stackoverflow.com/questions/69875694


            How does a gradient backpropagates through random samples?
            Asked 2022-Mar-25 at 03:06

            I'm learning about policy gradients and I'm having hard time understanding how does the gradient passes through a random operation. From here: It is not possible to directly backpropagate through random samples. However, there are two main methods for creating surrogate functions that can be backpropagated through.

            They have an example of the score function:



            Answered 2021-Nov-30 at 05:48

            It is indeed true that sampling is not a differentiable operation per se. However, there exist two (broad) ways to mitigate this - [1] The REINFORCE way and [2] The reparameterization way. Since your example is related to [1], I will stick my answer to REINFORCE.

            What REINFORCE does is it entirely gets rid of sampling operation in the computation graph. However, the sampling operation remains outside the graph. So, your statement

            .. how does the gradient passes through a random operation ..

            isn't correct. It does not pass through any random operation. Let's see your example

            Source https://stackoverflow.com/questions/70163823


            How to speed up async requests in Python
            Asked 2022-Mar-02 at 09:16

            I want to download/scrape 50 million log records from a site. Instead of downloading 50 million in one go, I was trying to download it in parts like 10 million at a time using the following code but it's only handling 20,000 at a time (more than that throws an error) so it becomes time-consuming to download that much data. Currently, it takes 3-4 mins to download 20,000 records with the speed of 100%|██████████| 20000/20000 [03:48<00:00, 87.41it/s] so how to speed it up?



            Answered 2022-Feb-27 at 14:37

            If it's not the bandwidth that limits you (but I cannot check this), there is a solution less complicated than the celery and rabbitmq but it is not as scalable as the celery and rabbitmq, it will be limited by your number of CPU.

            Instead of splitting calls on celery workers, you split them on multiple processes.

            I modified the fetch function like this:

            Source https://stackoverflow.com/questions/71232879


            ModuleNotFoundError: No module named 'milvus'
            Asked 2022-Feb-15 at 19:23

            Goal: to run this Auto Labelling Notebook on AWS SageMaker Jupyter Labs.

            Kernels tried: conda_pytorch_p36, conda_python3, conda_amazonei_mxnet_p27.



            Answered 2022-Feb-03 at 09:29

            I would recommend to downgrade your milvus version to a version before the 2.0 release just a week ago. Here is a discussion on that topic: https://github.com/deepset-ai/haystack/issues/2081

            Source https://stackoverflow.com/questions/70954157


            Colab: (0) UNIMPLEMENTED: DNN library is not found
            Asked 2022-Feb-08 at 19:27

            I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:



            Answered 2022-Feb-07 at 09:19

            It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason

            Source https://stackoverflow.com/questions/71000120


            Cannot find conda info. Please verify your conda installation on EMR
            Asked 2022-Feb-05 at 00:17

            I am trying to install conda on EMR and below is my bootstrap script, it looks like conda is getting installed but it is not getting added to environment variable. When I manually update the $PATH variable on EMR master node, it can identify conda. I want to use conda on Zeppelin.

            I also tried adding condig into configuration like below while launching my EMR instance however I still get the below mentioned error.



            Answered 2022-Feb-05 at 00:17

            I got the conda working by modifying the script as below, emr python versions were colliding with the conda version.:

            Source https://stackoverflow.com/questions/70901724


            ERROR: Could not build wheels for pycairo, which is required to install pyproject.toml-based projects
            Asked 2022-Jan-28 at 03:50

            Error while installing manimce, I have been trying to install manimce library on windows subsystem for linux and after running



            Answered 2022-Jan-28 at 02:24
            apt-get install sox ffmpeg libcairo2 libcairo2-dev
            apt-get install texlive-full
            pip3 install manimlib  # or pip install manimlib

            Source https://stackoverflow.com/questions/70508775

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install tqdm

            You can install using 'pip install tqdm' or download it from GitHub, PyPI.
            You can use tqdm like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            pip install tqdm

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