pyct | python crontab | Cron Utils library

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kandi X-RAY | pyct Summary

pyct is a Python library typically used in Utilities, Cron Utils, Pandas applications. pyct has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

pyct

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Support

pyct has a low active ecosystem.

It has 7 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyct is current.

Quality

pyct has 0 bugs and 0 code smells.

Security

pyct has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pyct code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyct does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

pyct releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 238 lines of code, 27 functions and 5 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pyct and discovered the below as its top functions. This is intended to give you an instant insight into pyct implemented functionality, and help decide if they suit your requirements.

Initialize parameters .
check value range
Run all crontabs .
Wrapper for cron .
Parse ct_string .
Parse condition .
Returns True if obj is equal to conditions
Creates a crontab object

Get all kandi verified functions for this library.

pyct Key Features

No Key Features are available at this moment for pyct.

pyct Examples and Code Snippets

No Code Snippets are available at this moment for pyct.

Community Discussions

Trending Discussions on pyct

Access and modify weights sent from client on the server tensorflow federated

Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas

Visualize proposal regions from RPN head in Faster R-CNN with Tensorflow Object Detection API

problem with importing tensorflow probability

Cannot import tensorflow_probability

Usage of LSTM/GRU and Flatten throws dimensional incompatibility error

Using functional Api in tensorflow throws KeyError: 'input_1'

Python3.6 ImportError when running script outside the directory. Runs correctly within same directory

QUESTION

Access and modify weights sent from client on the server tensorflow federated

Asked 2021-Nov-08 at 09:49

I'm using Tensorflow Federated, but i'm actually have some problem while trying to executes some operation on the server after reading the client update.

This is the function

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ANSWER

Answered 2021-Oct-19 at 09:04

I think this reply to your other question I just wrote applies here, too.

When you print client_outputs.weights_delta you get abstract representation fo a result of another computation, a primarily internal implementation detail of TFF.

Write a tff.tf_computation-decorated method with TensorFlow code, which does the modification you need, and then invoke it using tff.federated_map operator from where you are trying to print the values.

Source https://stackoverflow.com/questions/69619028

QUESTION

Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas

Asked 2021-Oct-11 at 14:51

data source: https://catalog.data.gov/dataset/nyc-transit-subway-entrance-and-exit-data

I tried looking for a similar problem but I can't find an answer and the error does not help much. I'm kinda frustrated at this point. Thanks for the help. I'm calculating the closest distance from a point.

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ANSWER

Answered 2021-Oct-11 at 14:21

geopandas 0.10.1

have noted that your data is on kaggle, so start by sourcing it
there really is only one issue shapely.geometry.MultiPoint() constructor does not work with a filtered series. Pass it a numpy array instead and it works.
full code below, have randomly selected a point to serve as gpdPoint

Source https://stackoverflow.com/questions/69521034

QUESTION

Visualize proposal regions from RPN head in Faster R-CNN with Tensorflow Object Detection API

Asked 2021-Aug-03 at 09:42

I'm trying debug my trained Faster R-CNN model using Tensorflow Object Detection API and I want to visualize the proposal regions of RPN on an image. Can anyone tell me how to do it? I found a post here but it hasn't been answered. I tried to export the model using exporter_main_v2.py with only the RPN head as said here and this is the massage when I deleted the second_stage.

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ANSWER

Answered 2021-Aug-03 at 09:42

Found the solution!
In the config file add number_of_stages: 1
Instead of using exporter_main_v2.pyI write code that builds the model from the checkpoint file

Source https://stackoverflow.com/questions/68623936

QUESTION

problem with importing tensorflow probability

Asked 2021-Jan-19 at 14:24

I am using Anaconda and Ubuntu 18.04. I installed TensorFlow probability base on Anaconda's command:

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ANSWER

Answered 2021-Jan-19 at 14:24

I think it's been a long time since the conda recipe for TFP was updated (TFP is now at 0.12), so you would need to ensure the version of TensorFlow you have is compatible. FWIW from the 0.8 release notes: "It is tested and stable against TensorFlow version 2.0.0 and 1.15.0rc1."

Source https://stackoverflow.com/questions/65740676

QUESTION

Cannot import tensorflow_probability

Asked 2020-Oct-22 at 16:52

When I try to import tensorflow_probability, I get this error:

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ANSWER

Answered 2020-Oct-22 at 16:52

I have tried to import in Google colab and Ubuntu 18 version. In colab it worked directly, in ubuntu I faced issues.
Upgrading to the latest pip and TensorFlow version resolved my issue.

Colab:

Source https://stackoverflow.com/questions/62743492

QUESTION

Usage of LSTM/GRU and Flatten throws dimensional incompatibility error

Asked 2020-Sep-15 at 20:26

I want to make use of a promising NN I found at towardsdatascience for my case study.

The data shapes I have are:

...

ANSWER

Answered 2020-Aug-17 at 18:14

I cannot reproduce your error, check if the following code works for you:

Source https://stackoverflow.com/questions/63455257

QUESTION

Using functional Api in tensorflow throws KeyError: 'input_1'

Asked 2020-May-25 at 02:55

I'm trying to build a simple linear model using TensorFlow functional API.

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ANSWER

Answered 2020-May-25 at 02:55

Since you have feature columns that are not directly compatible with tf.keras.Input, you have to use a workaround that assigns tf.keras.Input to each original feature column. The workaround via this Github issue is:

Source https://stackoverflow.com/questions/61994299

QUESTION

Python3.6 ImportError when running script outside the directory. Runs correctly within same directory

Asked 2020-May-22 at 14:18

I have the following set up.

...

ANSWER

Answered 2020-May-22 at 14:18

The problem here is that ~/python/pyct/lib/printer.py looks for module named utils in its working directory - not in directory where it is placed itself.

You can use relative import in ~/python/pyct/lib/printer.py:

Source https://stackoverflow.com/questions/61956564

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

Vulnerabilities

No vulnerabilities reported

Install pyct

You can download it from GitHub.
You can use pyct 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.

Support

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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