abseil-py | Abseil Common Libraries (Python)
kandi X-RAY | abseil-py Summary
kandi X-RAY | abseil-py Summary
abseil-py is a Python library typically used in Logging applications. abseil-py has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install abseil-py' or download it from GitHub, PyPI.
This repository is a collection of Python library code for building Python applications. The code is collected from Google's own Python code base, and has been extensively tested and used in production.
This repository is a collection of Python library code for building Python applications. The code is collected from Google's own Python code base, and has been extensively tested and used in production.
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Quality
Security
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Support
abseil-py has a medium active ecosystem.
It has 2091 star(s) with 249 fork(s). There are 73 watchers for this library.
It had no major release in the last 12 months.
There are 13 open issues and 86 have been closed. On average issues are closed in 49 days. There are 3 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of abseil-py is v1.4.0
Quality
abseil-py has 0 bugs and 0 code smells.
Security
abseil-py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
abseil-py code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
abseil-py is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
abseil-py releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
abseil-py saves you 8227 person hours of effort in developing the same functionality from scratch.
It has 17028 lines of code, 1725 functions and 71 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed abseil-py and discovered the below as its top functions. This is intended to give you an instant insight into abseil-py implemented functionality, and help decide if they suit your requirements.
- Registers a flag
- Register a flag
- Return the flags of the module
- Register a flag for a module
- Run the program
- Determine if an exception is wanted
- Calls the given exception handlers
- Run main function
- Registers a new enum flag
- Registers a flag whose value is a string
- Registers a flag whose value is a whitespace separated list
- Declare a key flag
- Validates flag_flags_as_exclusive
- Decorator for flag validation
- Skip the given function prefix
- Initialize a flag from a flag
- Emit a record
- Declare key flags for a module
- Wrap text into a list of lines
- Registers the flags parser
- Ensures that all flag_names are set to True
- Registers a flag whose value is a single enum
- Registers a single MultiEnum class flag
- Registers a boolean flag
- Registers a flag whose value is a float
- Registers an integer flag
Get all kandi verified functions for this library.
abseil-py Key Features
No Key Features are available at this moment for abseil-py.
abseil-py Examples and Code Snippets
Usage
Python
Lines of Code : 39
License : No License
Lines of Code : 39License : No License
CopySinusoid:
python3 example_metatrain.py --dataset="sinusoid" --metamodel="fomaml" \
--num_train_samples_per_class=10 --num_test_samples_per_class=100 --num_inner_training_iterations=5 --inner_batch_size=10 \
--meta_lr=0.001 --inner_lr=0.01 --m detach().cpu() kills kernel
PythonLines of Code : 8License : Strong Copyleft (CC BY-SA 4.0)
Lines of Code : 8License : Strong Copyleft (CC BY-SA 4.0)Copydef Exec_ShowImgGrid(ObjTensor, ch=1, size=(28,28), num=16):
#tensor: 128(pictures at the time ) * 784 (28*28)
Objdata= ObjTensor.detach().cpu().view(-1,ch,*size) #128 *1 *28*28
Objgrid= make_grid(Objdata[:num],nrow=4).permuteCan't install Tensorflow lower than 2.0
PythonLines of Code : 2License : Strong Copyleft (CC BY-SA 4.0)
Lines of Code : 2License : Strong Copyleft (CC BY-SA 4.0)Copytensorflow/tensorflow:1.14.0-gpu-py3
How to resolve compatibility issues for Tensorflow and associated packages?
PythonLines of Code : 7License : Strong Copyleft (CC BY-SA 4.0)
Lines of Code : 7License : Strong Copyleft (CC BY-SA 4.0)Copymodule purge
module load devel/cuda
/usr/bin/python3.8 -m venv venv
source venv/bin/activate
pip install --upgrade pip
pip install -r requirements.txt
OpenCV error on Heroku but model successfully deployed
PythonLines of Code : 4License : Strong Copyleft (CC BY-SA 4.0)
Lines of Code : 4License : Strong Copyleft (CC BY-SA 4.0)Copyopencv-python==4.2.0
opencv-python-headless==4.2.0.32
pycharm error happening at random time: Process finished with exit code 134 (interrupted by signal 6: SIGABRT)
PythonLines of Code : 5License : Strong Copyleft (CC BY-SA 4.0)
Lines of Code : 5License : Strong Copyleft (CC BY-SA 4.0)Copy # Save out figure if desired, then close
# Assuming not using a blocking draw/show call.
fig.savefig('myfig.png')
plt.close() # Object oriented: fig.close()
reorganize a list of tuples
PythonLines of Code : 33License : Strong Copyleft (CC BY-SA 4.0)
Lines of Code : 33License : Strong Copyleft (CC BY-SA 4.0)Copyfrom collections import defaultdict
list_packages_dep = [(['six'], 'absl-py'), (['html5lib', 'six'], 'bleach'), (['args'], 'clint'),
(['discord.py'], 'discord'), (['aiohttp'], 'discord.py'),
(['cliNo module named 'matplotlib' after conda installation
PythonLines of Code : 2License : Strong Copyleft (CC BY-SA 4.0)
Lines of Code : 2License : Strong Copyleft (CC BY-SA 4.0)Copyconda activate -n tf_plot
return _VF.norm(input, p, _dim, keepdim=keepdim) IndexError: Dimension out of range (expected to be in range of [-2, 1], but got 2)
PythonLines of Code : 7License : Strong Copyleft (CC BY-SA 4.0)
Lines of Code : 7License : Strong Copyleft (CC BY-SA 4.0)Copyif self.l2_norm:
masked_embedding = F.normalize(masked_embedding, p=2.0, dim=1, eps=1e-10)
if self.l2_norm:
norm = masked_embedding.norm(p=2, dim=1, keepdim=True) + 1e-10
masked_embedding /= norm
File "mtrand.pyx", line 905, in numpy.random.mtrand.RandomState.choice TypeError: 'dict_keys' object cannot be interpreted as an integer
PythonLines of Code : 2License : Strong Copyleft (CC BY-SA 4.0)
Lines of Code : 2License : Strong Copyleft (CC BY-SA 4.0)Copynp.random.choice(list(candidate_sets))
Community Discussions
Trending Discussions on abseil-py
QUESTION
What's the idiomatic way of performing conversions from python gflags to yaml and back?
Asked 2018-May-21 at 01:12
I'm using absl-py's python gflags for my project.
They're a convenient way of specifying configurations, but I frequently like to run the same configuration, and saving command line invocations is not preferable because they are hard to read and maintain.
I'd like to instead be able to maintain YAML text files that specify flag values. For instance, a program that might be invoked as
...ANSWER
Answered 2018-May-21 at 01:12FLAGS.flags_into_string() should return a string that can be put in a flagfile. Or FLAGS.append_flags_into_file('path/to/flagfile.txt') will append the flags to that file.
Does this work for you?
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install abseil-py
To install the package, simply run:.
Support
See the Abseil Python Developer Guide.
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