py4j | A opensource Java library for converting Chinese to Pinyin

 by   TFdream Java Version: v1.0.0 License: Apache-2.0

kandi X-RAY | py4j Summary

kandi X-RAY | py4j Summary

py4j is a Java library. py4j has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can download it from GitHub.

A open-source Java library for converting Chinese to Pinyin.
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            kandi-support Support

              py4j has a highly active ecosystem.
              It has 46 star(s) with 30 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 3 open issues and 1 have been closed. On average issues are closed in 45 days. There are no pull requests.
              OutlinedDot
              It has a negative sentiment in the developer community.
              The latest version of py4j is v1.0.0

            kandi-Quality Quality

              py4j has 0 bugs and 22 code smells.

            kandi-Security Security

              py4j has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              py4j code analysis shows 0 unresolved vulnerabilities.
              There are 1 security hotspots that need review.

            kandi-License License

              py4j 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

              py4j releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              py4j saves you 187 person hours of effort in developing the same functionality from scratch.
              It has 461 lines of code, 41 functions and 10 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed py4j and discovered the below as its top functions. This is intended to give you an instant insight into py4j implemented functionality, and help decide if they suit your requirements.
            • Get DuoYin map
            • Load a vocabulary from the classpath
            • Parse python dictionary
            • Load vocabulary
            • Closes a closable
            • Return true if the CharSequence is empty
            • Check if the given string is not null or empty
            • Checks if the vocabulary is initialized
            • Log at debug level
            • Log an error
            • Returns true if the CharSequence is not blank
            • Returns true if the CharSequence is blank
            • Capitalizes the first letter of the given string
            • Check if string contains the given string
            • Checks if two strings are equal
            • Compares two strings ignoring case
            Get all kandi verified functions for this library.

            py4j Key Features

            No Key Features are available at this moment for py4j.

            py4j Examples and Code Snippets

            Kitty,Performance Tips
            Javadot img1Lines of Code : 21dot img1License : Permissive (Apache-2.0)
            copy iconCopy
            final String[] arr = {"大夫", "重庆银行", "长沙银行", "便宜坊", "西藏", "藏宝图", "出差", "参加", "列车长"};
            final Converter converter = new PinyinConverter();
            
            int threadNum = 20;
            ExecutorService pool = Executors.newFixedThreadPool(threadNum);
            for(int i=0;i() {
                    @Ove  
            Kitty,Usage,2. word
            Javadot img2Lines of Code : 16dot img2License : Permissive (Apache-2.0)
            copy iconCopy
            Converter converter = new PinyinConverter();
            
            final String[] arr = {"肯德基", "重庆银行", "长沙银行", "便宜坊", "西藏", "藏宝图", "出差", "参加", "列车长"};
            for (String chinese : arr){
                String py = converter.getPinyin(chinese);
                System.out.println(chinese+"\t"+py);
            }
            
            肯  
            Kitty,Usage,1. single char
            Javadot img3Lines of Code : 16dot img3License : Permissive (Apache-2.0)
            copy iconCopy
            Converter converter = new PinyinConverter();
            
            char[] chs = {'长', '行', '藏', '度', '阿', '佛', '2', 'A', 'a'};
            for(char ch : chs){
                String[] arr_py = converter.getPinyin(ch);
                System.out.println(ch+"\t"+Arrays.toString(arr_py));
            }
            
            长	[chang, zhang]
              

            Community Discussions

            QUESTION

            How to read a csv file from s3 bucket using pyspark
            Asked 2022-Mar-16 at 22:53

            I'm using Apache Spark 3.1.0 with Python 3.9.6. I'm trying to read csv file from AWS S3 bucket something like this:

            ...

            ANSWER

            Answered 2021-Aug-25 at 11:11

            You need to use hadoop-aws version 3.2.0 for spark 3. In --packages specifying hadoop-aws library is enough to read files from S3.

            Source https://stackoverflow.com/questions/68921060

            QUESTION

            Errors initialising PySpark installed using pip on Mac
            Asked 2022-Mar-11 at 02:43

            I'm trying to get started with pyspark, but having some trouble. I have python 3.10 installed and an M1 MacBook Pro. I installed pyspark using the command:

            ...

            ANSWER

            Answered 2021-Dec-02 at 17:46

            You need to setup JAVA_HOME and SPARK_DIST_CLASSPATH as well. You can download Hadoop from the main website https://hadoop.apache.org/releases.html

            Source https://stackoverflow.com/questions/70203498

            QUESTION

            Multi-processing in Azure Databricks
            Asked 2022-Mar-01 at 12:19

            I have been tasked lately, to ingest JSON responses onto Databricks Delta-lake. I have to hit the REST API endpoint URL 6500 times with different parameters and pull the responses.

            I have tried two modules, ThreadPool and Pool from the multiprocessing library, to make each execution a little quicker.

            ThreadPool:

            1. How to choose the number of threads for ThreadPool, when the Azure Databricks cluster is set to autoscale from 2 to 13 worker nodes?

            Right now, I've set n_pool = multiprocessing.cpu_count(), will it make any difference, if the cluster auto-scales?

            Pool

            1. When I use Pool to use processors instead of threads. I see the following errors randomly on each execution. Well, I understand from the error that Spark Session/Conf is missing and I need to set it from each process. But I am on Databricks with default spark session enabled, then why do I see these errors.
            ...

            ANSWER

            Answered 2022-Feb-28 at 08:56

            You can try following way to resolve

            Source https://stackoverflow.com/questions/71094840

            QUESTION

            Use csv from GitHub in PySpark
            Asked 2022-Feb-24 at 12:33

            Usually, to read a local .csv file I use this:

            ...

            ANSWER

            Answered 2022-Feb-24 at 12:33

            It's not possible to access external data from driver. There are some workarounds like simple using pandas:

            Source https://stackoverflow.com/questions/71251538

            QUESTION

            Getting "An error occurred while calling o58.csv" error while writing a spark dataframe into a csv file
            Asked 2022-Feb-23 at 20:04

            After using df.write.csv to try to export my spark dataframe into a csv file, I get the following error message:

            ...

            ANSWER

            Answered 2021-Dec-01 at 13:43

            The issue was with the Java SDK (or JDK) version. Currently pyspark only supports JDK versions 8 and 11 (the most recent one is 17) To download the legacy versions of JDK, head to https://www.oracle.com/br/java/technologies/javase/jdk11-archive-downloads.html and download the version 11 (note: you will need to provide a valid e-mail and password to create an Oracle account)

            Source https://stackoverflow.com/questions/70100519

            QUESTION

            pyspark- snowflake unable to load data from table
            Asked 2022-Feb-19 at 15:03

            i am trying to query data from snowflake using pyspark in glue with below code

            ...

            ANSWER

            Answered 2022-Feb-19 at 15:03

            QUESTION

            StructuredStreaming withWatermark - TypeError: 'module' object is not callable
            Asked 2022-Feb-17 at 03:46

            I have a Structured Streaming pyspark program running on GCP Dataproc, which reads data from Kafka, and does some data massaging, and aggregation. I'm trying to use withWatermark(), and it is giving error.

            Here is the code :

            ...

            ANSWER

            Answered 2022-Feb-17 at 03:46

            As @ewertonvsilva mentioned, this was related to import error. specifically ->

            Source https://stackoverflow.com/questions/71137296

            QUESTION

            Spring Boot Logging to a File
            Asked 2022-Feb-16 at 14:49

            In my application config i have defined the following properties:

            ...

            ANSWER

            Answered 2022-Feb-16 at 13:12

            Acording to this answer: https://stackoverflow.com/a/51236918/16651073 tomcat falls back to default logging if it can resolve the location

            Can you try to save the properties without the spaces.

            Like this: logging.file.name=application.logs

            Source https://stackoverflow.com/questions/71142413

            QUESTION

            GCP Dataproc - Failed to construct kafka consumer, Failed to load SSL keystore dataproc.jks of type JKS
            Asked 2022-Feb-10 at 05:16

            I'm trying to run a Structured Streaming program on GCP Dataproc, which accesses the data from Kafka and prints it.

            Access to Kafka is using SSL, and the truststore and keystore files are stored in buckets. I'm using Google Storage API to access the bucket, and store the file in the current working directory. The truststore and keystores are passed onto the Kafka Consumer/Producer. However - i'm getting an error

            Command :

            ...

            ANSWER

            Answered 2022-Feb-03 at 17:15

            I would add the following option if you want to use jks

            Source https://stackoverflow.com/questions/70964198

            QUESTION

            GCP dataproc - java.lang.NoClassDefFoundError: org/apache/kafka/common/serialization/ByteArraySerializer
            Asked 2022-Feb-10 at 04:07

            i'm trying to run a StructuredStreaming job on GCP DataProc, which reads from Kafka nd prints out the values. The code is giving error -> java.lang.NoClassDefFoundError: org/apache/kafka/common/serialization/ByteArraySerializer

            Here is the code:

            ...

            ANSWER

            Answered 2022-Feb-02 at 08:39

            Please have a look at the official deployment guideline here: https://spark.apache.org/docs/latest/structured-streaming-kafka-integration.html#deploying

            Extracting the important part:

            Source https://stackoverflow.com/questions/70951195

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

            Vulnerabilities

            No vulnerabilities reported

            Install py4j

            You can download it from GitHub.
            You can use py4j 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 py4j 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 .
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