lamda | ⚡️ Android reverse engineering & amp ; automation framework

 by   rev1si0n Python Version: 7.67 License: No License

kandi X-RAY | lamda Summary

kandi X-RAY | lamda Summary

lamda is a Python library. lamda has no bugs, it has no vulnerabilities, it has build file available and it has medium support. You can install using 'pip install lamda' or download it from GitHub, PyPI.

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              lamda has a medium active ecosystem.
              It has 3212 star(s) with 481 fork(s). There are 38 watchers for this library.
              There were 8 major release(s) in the last 12 months.
              There are 11 open issues and 34 have been closed. On average issues are closed in 17 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of lamda is 7.67

            kandi-Quality Quality

              lamda has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              lamda does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              lamda 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 are not available. Examples and code snippets are available.

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            lamda Key Features

            No Key Features are available at this moment for lamda.

            lamda Examples and Code Snippets

            Tesseract lamda layer
            Pythondot img1Lines of Code : 35dot img1no licencesLicense : No License
            copy iconCopy
            cd tesseract-layer
            
            ./build.sh
            
            ./build.sh -l eng,por -m fast # downloads FAST models for English and Portugese
            
            $ ls layer
            bin #compiled tesseract binary
            data #tesseract language package eng
            lib #compiled lib dependencies
            python #python dependencies  
            copy iconCopy
            "Hello, {name}".Expand(n => "John")
            // returns "Hello, John"
            
            "Hello, @name".Expand(n => "John")
            // returns "Hello, John"
            
            "Hello, @(name)".Expand(n => "John")
            // returns "Hello, John"
            
            "Hello, ${name}".Expand(n => "John")
            // returns "Hel  
            ZeroDivisionError: division by zero error in gradient descent.py
            Pythondot img3Lines of Code : 3dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            if len(actual) == 0:
                return 0
            
            Duplicate rows in dataframe and add 1 value in a different field
            Pythondot img4Lines of Code : 8dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            pd.concat([df1, df1.assign(Project="Admin")],
                      ignore_index=True).sort_values(["Name", "Project"])
            #     Name Project Task Hours
            # 1  David                   
            # 3  David   Admin           
            # 0  Julia                   
            # 2  Julia 
            Python pandas how to use a lamda function to convert duplicated code in 1 line
            Pythondot img5Lines of Code : 2dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            df = df.assign(**{f'mul3{i}': df[f'tpx{i}'] * df[f'tqy{i}'] * df[f'vtin{i}'] * df['slife1'] for i in range(1,6)})
            
            Python pandas how to use a lamda function to convert duplicated code in 1 line
            Pythondot img6Lines of Code : 3dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            N = 5
            df[[f'mul3{i}' for i in range(1, N+1)]] = [df[f'tpx{i}'].values * df[f'tqy{i}'].values * df[f'vtin{i}'].values * df['slife1'].values for i in range(1, N+1)]
            
            Using container image for Lamda function
            Pythondot img7Lines of Code : 6dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            curl -X POST http://localhost:9000/2015-03-31/functions/function/invocations -d '{}'
            
            START RequestId: da204eb4-7ff2-4382-85fb-44a01166194b Version: $LATEST
            END RequestId: da204eb4-7ff2-4382-85fb-44a01166194b
            REPORT
            i made right set, but there is key error in gurobipy
            Pythondot img8Lines of Code : 6dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            for r in s[0]:
            
            for r in s:
            
            for r in ['AUC']:
            
            functions within functions python
            Pythondot img9Lines of Code : 49dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            def get_klambda():
                print("Do you wish to plot curves which vary in:")
                print("Shape parameter (k) or scale parameter (lambda)?")
                global klambda
                Lamda = -1
                k = -1
                while True:
                    klambda = input("Please select ")
            
            Different outputs depending on responses to multiple questions (Python)
            Pythondot img10Lines of Code : 26dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            #ask user if they want a fixed value of k or lambda  
                
            def get_klambda():
                print("Do you wish to plot curves which vary in:")
                print("Shape parameter (k) or scale parameter (lambda)?")
            
                lamda = -1
                k = -1
                while True:
             

            Community Discussions

            No Community Discussions are available at this moment for lamda.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install lamda

            You can install using 'pip install lamda' or download it from GitHub, PyPI.
            You can use lamda 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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            Install
          • PyPI

            pip install lamda

          • CLONE
          • HTTPS

            https://github.com/rev1si0n/lamda.git

          • CLI

            gh repo clone rev1si0n/lamda

          • sshUrl

            git@github.com:rev1si0n/lamda.git

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