LunarCalendar | A Java Calendar for Chinese Lunar | Calendar library

 by   XhinLiang Java Version: 4.0.7 License: Apache-2.0

X-RayKey FeaturesCode SnippetsCommunity Discussions(4)VulnerabilitiesInstallSupport

kandi X-RAY | LunarCalendar Summary

kandi X-RAY | LunarCalendar Summary

LunarCalendar is a Java library typically used in User Interface, Calendar applications. LunarCalendar has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub, Maven.

A Java Calendar for Chinese Lunar.
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            kandi-support Support

              LunarCalendar has a low active ecosystem.
              It has 180 star(s) with 47 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 6 have been closed. On average issues are closed in 167 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of LunarCalendar is 4.0.7

            kandi-Quality Quality

              LunarCalendar has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              LunarCalendar 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.

            kandi-Reuse Reuse

              LunarCalendar releases are available to install and integrate.
              Deployable package is available in Maven.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 1170 lines of code, 81 functions and 11 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed LunarCalendar and discovered the below as its top functions. This is intended to give you an instant insight into LunarCalendar implemented functionality, and help decide if they suit your requirements.
            • Prints a few arguments
            • Parses a Gregorian Gregorian Calendar
            • Builds a list of Festivals
            • Calculates the angle between two angles
            Get all kandi verified functions for this library.

            LunarCalendar Key Features

            No Key Features are available at this moment for LunarCalendar.

            LunarCalendar Examples and Code Snippets

            No Code Snippets are available at this moment for LunarCalendar.

            Community Discussions

            Trending Discussions on LunarCalendar

            Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas
            Discrepancy between two hosts running the same docker commands
            Usage of LSTM/GRU and Flatten throws dimensional incompatibility error
            How to successfully install fbprophet via Gitlab CI?

            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.

            ...

            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

            Discrepancy between two hosts running the same docker commands
            Asked 2020-Dec-24 at 00:58

            A colleague and I have a big Docker puzzle.

            When we run the following commands we get different results.

            ...

            ANSWER

            Answered 2020-Dec-19 at 06:15

            This is solution. This problem is not just a matter on docker, but fbprophet itself causes. To avoid:

            Source https://stackoverflow.com/questions/65366434

            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

            How to successfully install fbprophet via Gitlab CI?
            Asked 2020-Jul-29 at 10:05

            I am trying to deploy a code of mine (that uses fbprophet) as an EC2 instance using Gitlab CI.

            my requirements.txt file:

            ...

            ANSWER

            Answered 2020-Jul-29 at 10:05

            The issue with fbprophet is that it imports and executes its own code in setup.py. This is sometimes called a "race condition", although it has nothing to do with parallel code execution - one has to be careful about importing code which is being installed.

            Here, fbprophet.models imported in setup.py triggers import of fbprophet.forecaster (even if unused) via fbprophet/__init__.py, which triggers the imports of numpy, pandas etc. None of the packages is declared as build dependency via setup_requires, thus the error. To avoid it, you have to install the dependencies in a separate command before installing your own requirements:

            Source https://stackoverflow.com/questions/62931259

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

            Vulnerabilities

            No vulnerabilities reported

            Install LunarCalendar

            You can download it from GitHub, Maven.
            You can use LunarCalendar like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the LunarCalendar component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            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 .
            Find more information at:

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            gh repo clone XhinLiang/LunarCalendar

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