giws | A wrapper generator to generate C mapping Java classes

by opencollab Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | giws Summary

giws is a Python library. giws has no bugs, it has no vulnerabilities, it has build file available and it has low support. However giws has a Non-SPDX License. You can download it from GitHub.

GIWS is basically the opposite of SWIG. When SWIG generates wrappers to call C/C functions/methods from other languages, GIWS creates wrapper for those who wants to call Java methods from C/C. GIWS is widely used in Scilab (from version 5.0) to drive the rendering and the GUI.

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Quality

Security

License

Reuse

Support

giws has a low active ecosystem.

It has 37 star(s) with 12 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 1757 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of giws is current.

Quality

giws has 0 bugs and 0 code smells.

Security

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

giws code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

giws 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.

Reuse

giws 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.

giws saves you 1275 person hours of effort in developing the same functionality from scratch.

It has 2864 lines of code, 252 functions and 55 files.

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

Top functions reviewed by kandi - BETA

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

Gets the constructor of the class
Preprocessing of the given parameter
Creates the method body
Gets the creation of an array
Calls the post processing of the component
Returns the method name for a method
Returns the license code .
Loads the methods of a method
Create a new data type
Get the CXX header for the given configuration .

Get all kandi verified functions for this library.

giws Key Features

No Key Features are available at this moment for giws.

giws Examples and Code Snippets

No Code Snippets are available at this moment for giws.

Community Discussions

Trending Discussions on giws

Execution time is longer when Reading Multiple levels of repeated JSON structure data in Google BigQuery

Reading Multiple levels of repeated JSON structure data in Google BigQuery

QUESTION

Execution time is longer when Reading Multiple levels of repeated JSON structure data in Google BigQuery

Asked 2020-Mar-30 at 22:30

I am facing Issues with Query execution time, when I tried to read the multiple levels of repeated JSON structure. it works fine for upto 6-7 fields but as I read more columns its slowing down.

Input Data: { "ProjectId": "P.2000002", "OperationId": "O.2000002.01", "ActivityId": "A.2000002.01.01", "Description": "", "Combos": [ { "ComboId": "9146", "Demands": { "DownHoleTools": { "PrimaryTools": [ { "ToolCode": "19139", "ToolDescription": "ABCD-C/D", "IsEdoApplicable": true, "Source": "A", "DemandDurationInfo": { "StartDate": "2019-09-09T17:42:10", "EndDate": "2019-09-19T23:00:00" }, "HashNumber": 1, "ClassificationName": "ABCD-C/D", "ClassificationType": 0, "GroupInfo": { "Code": "1519", "Description": "ABCD" }, "CategoryInfo": { "Code": "1519", "Description": "ABCD" }, "Comments": "", "IsDeleted": false, "PartNumber": "", "Description": "", "CreatedDate": "0001-01-01T00:00:00", "CreatedBy": "", "LastModifiedDate": "0001-01-01T00:00:00", "LastModifiedBy": "", "Id": "1" }, { "ToolCode": "7030", "ToolDescription": "VSIB-P", "IsEdoApplicable": false, "Source": "A", "DemandDurationInfo": { "StartDate": "2019-09-09T17:42:12", "EndDate": "2019-09-19T23:00:00" }, "HashNumber": 1, "ClassificationName": "VSIB-P", "ClassificationType": 0, "GroupInfo": { "Code": "1519", "Description": "ABCD" }, "CategoryInfo": { "Code": "1519", "Description": "ABCD" }, "Comments": "", "IsDeleted": false, "PartNumber": "", "Description": "", "CreatedDate": "0001-01-01T00:00:00", "CreatedBy": "", "LastModifiedDate": "0001-01-01T00:00:00", "LastModifiedBy": "", "Id": "1" }, { "ToolCode": "3707", "ToolDescription": "HILT-TLD-H", "IsEdoApplicable": false, "Source": "A", "DemandDurationInfo": { "StartDate": "2020-02-12T15:18:32", "EndDate": "2020-02-13T15:18:32" }, "HashNumber": 1, "ClassificationName": "HILT-TLD-H", "ClassificationType": 0, "GroupInfo": { "Code": "842", "Description": "HILT" }, "CategoryInfo": { "Code": "842", "Description": "HILT" }, "Comments": "", "IsDeleted": false, "PartNumber": "", "Description": "HILT-TLD-H", "CreatedDate": "0001-01-01T00:00:00", "CreatedBy": "", "LastModifiedDate": "0001-01-01T00:00:00", "LastModifiedBy": "", "Id": "1" }, { "ToolCode": "3707", "ToolDescription": "HILT-TLD-H", "IsEdoApplicable": false, "Source": "A", "DemandDurationInfo": { "StartDate": "2020-02-12T15:18:32", "EndDate": "2020-02-13T15:18:32" }, "HashNumber": 2, "ClassificationName": "HILT-TLD-H", "ClassificationType": 0, "GroupInfo": { "Code": "842", "Description": "HILT" }, "CategoryInfo": { "Code": "842", "Description": "HILT" }, "Comments": "", "IsDeleted": false, "PartNumber": "", "Description": "HILT-TLD-H", "CreatedDate": "0001-01-01T00:00:00", "CreatedBy": "", "LastModifiedDate": "0001-01-01T00:00:00", "LastModifiedBy": "", "Id": "1" } ], "BackupTools": [

...

ANSWER

Answered 2020-Mar-30 at 22:30

Below is for BigQuery Standard SQL (and addresses performance issue)

Source https://stackoverflow.com/questions/60938834

QUESTION

Reading Multiple levels of repeated JSON structure data in Google BigQuery

Asked 2020-Mar-30 at 18:31

I am trying to read the below JSON structure. Was able to get the data to 1 level and see its reading Correctly, but when I go deeper into the other sections.its not reading data correctly. Below is the Input data and the Code Iam using and Output for your perusal. Request your help with this.

INPUT DATA:

{ "ProjectId": "P.2000002", "OperationId": "O.2000002.01", "ActivityId": "A.2000002.01.01", "Description": "", "Combos": [ { "ComboId": "9146", "Demands": { "DownHoleTools": { "PrimaryTools": [ { "ToolCode": "19139", "ToolDescription": "VSIT-C/D", "IsEdoApplicable": true, "Source": "A", "DemandDurationInfo": { "StartDate": "2019-09-09T17:42:10", "EndDate": "2019-09-19T23:00:00" }, "HashNumber": 1, "ClassificationName": "VSIT-C/D", "ClassificationType": 0, "GroupInfo": { "Code": "1519", "Description": "VSIT" }, "CategoryInfo": { "Code": "1519", "Description": "VSIT" }, "Comments": "", "IsDeleted": false, "PartNumber": "", "Description": "", "CreatedDate": "0001-01-01T00:00:00", "CreatedBy": "", "LastModifiedDate": "0001-01-01T00:00:00", "LastModifiedBy": "", "Id": "1" }, { "ToolCode": "7030", "ToolDescription": "VSIB-P", "IsEdoApplicable": false, "Source": "A", "DemandDurationInfo": { "StartDate": "2019-09-09T17:42:12", "EndDate": "2019-09-19T23:00:00" }, "HashNumber": 1, "ClassificationName": "VSIB-P", "ClassificationType": 0, "GroupInfo": { "Code": "1519", "Description": "VSIT" }, "CategoryInfo": { "Code": "1519", "Description": "VSIT" }, "Comments": "", "IsDeleted": false, "PartNumber": "", "Description": "", "CreatedDate": "0001-01-01T00:00:00", "CreatedBy": "", "LastModifiedDate": "0001-01-01T00:00:00", "LastModifiedBy": "", "Id": "1" }, { "ToolCode": "3707", "ToolDescription": "HILT-TLD-H", "IsEdoApplicable": false, "Source": "A", "DemandDurationInfo": { "StartDate": "2020-02-12T15:18:32", "EndDate": "2020-02-13T15:18:32" }, "HashNumber": 1, "ClassificationName": "HILT-TLD-H", "ClassificationType": 0, "GroupInfo": { "Code": "842", "Description": "HILT" }, "CategoryInfo": { "Code": "842", "Description": "HILT" }, "Comments": "", "IsDeleted": false, "PartNumber": "", "Description": "HILT-TLD-H", "CreatedDate": "0001-01-01T00:00:00", "CreatedBy": "", "LastModifiedDate": "0001-01-01T00:00:00", "LastModifiedBy": "", "Id": "1" }, { "ToolCode": "3707", "ToolDescription": "HILT-TLD-H", "IsEdoApplicable": false, "Source": "A", "DemandDurationInfo": { "StartDate": "2020-02-12T15:18:32", "EndDate": "2020-02-13T15:18:32" }, "HashNumber": 2, "ClassificationName": "HILT-TLD-H", "ClassificationType": 0, "GroupInfo": { "Code": "842", "Description": "HILT" }, "CategoryInfo": { "Code": "842", "Description": "HILT" }, "Comments": "", "IsDeleted": false, "PartNumber": "", "Description": "HILT-TLD-H", "CreatedDate": "0001-01-01T00:00:00", "CreatedBy": "", "LastModifiedDate": "0001-01-01T00:00:00", "LastModifiedBy": "", "Id": "1" } ], "BackupTools": [
...

ANSWER

Answered 2020-Mar-30 at 18:31

Below is for BigQuery Standard SQL

Source https://stackoverflow.com/questions/60935365

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

Vulnerabilities

No vulnerabilities reported

Install giws

You can download it from GitHub.
You can use giws 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

The best way to understand how to use GIWS is to read the examples. Code using C++ generated files examples/*/main.cpp. XML declaration files: examples//.xml.

Find more information at: