python-paillier | A library for Partially Homomorphic Encryption in Python | Cryptography library

 by   data61 Python Version: 1.5.1 License: GPL-3.0

kandi X-RAY | python-paillier Summary

kandi X-RAY | python-paillier Summary

python-paillier is a Python library typically used in Security, Cryptography applications. python-paillier has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install python-paillier' or download it from GitHub, PyPI.

A library for Partially Homomorphic Encryption in Python
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            kandi-support Support

              python-paillier has a low active ecosystem.
              It has 433 star(s) with 114 fork(s). There are 32 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 15 open issues and 48 have been closed. On average issues are closed in 46 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of python-paillier is 1.5.1

            kandi-Quality Quality

              python-paillier has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              python-paillier is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              python-paillier releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              python-paillier saves you 1049 person hours of effort in developing the same functionality from scratch.
              It has 2380 lines of code, 276 functions and 17 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed python-paillier and discovered the below as its top functions. This is intended to give you an instant insight into python-paillier implemented functionality, and help decide if they suit your requirements.
            • Perform federated learning
            • Compute the gradient of the curve
            • Compute the gradient of the model
            • Sum the encrypted vectors
            • Generate a paillier private key pair
            • Return a random prime number
            • Adds a key to the keyring
            • Generate test time
            • Call a method with the given arguments
            • Import data from disk
            • Encrypt the given plaintext
            • Adds encrypted number to plaintext
            • Encrypt the weights and intercept
            • Download data from enron
            • Add encrypted numbers together
            • Local learning function
            • Extract public key
            • Encrypts and encodes the given number
            • Decrypt encrypted number
            • Calculate the h_function of x
            • Multiply encrypted number
            • Get training data
            • Encodes two numbers
            • Decrypt a ciphertext using a private key
            • Generate paillier keypair
            • Creates a PaillierPrivateKey from the given totient
            Get all kandi verified functions for this library.

            python-paillier Key Features

            No Key Features are available at this moment for python-paillier.

            python-paillier Examples and Code Snippets

            copy iconCopy
            def translate(rna):
                amino_acid = []
                for i in range(len(rna) - 2):
                    three_letter = rna[i:i + 3]
                    if three_letter in ['UAA', 'UGA', 'UAG']:
                        break
                    if three_letter in CODON_TABLE:
                        amino_aci
            RNA to Protein simulation program's TypeErorr?
            Pythondot img2Lines of Code : 23dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            range(0, len(rna), 3)
            
            p = rna[i:i+3]
            
            def translate(rna):
              amino_acid = []
              for i in range(len(rna) - 2):
                p = rna[i:i+3]
                if p == "UUU" :
                  amino_acid.append(CODON_TABLE["UUU"])
            RNA to Protein simulation program's TypeErorr?
            Pythondot img3Lines of Code : 41dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            CODON_TABLE = {'UUU':'Phe','UUC':'Phe','UUA':'Leu','UUG':'Leu','CUU':'Leu','CUC':'Leu'} # etc
            
            def translate(rna):
                amino_acid = ""
                for i in range(len(rna)-2):
                    three_letter = rna[i:i+3]
                    if three_letter in CODON_TABLE
            Iterating through dictionary lists with another list, and finding associated key of value
            Pythondot img4Lines of Code : 59dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            thisdict = {
                "Arg": ['CGT', 'CGC','CGA','CGG'],
                "Phe": ['TTT','TTC'],
                "Leu": ['TTA','TTG','CTT','CTC','CTA','CTG'],
                "Ile": ['ATT','ATC'],
                "Met": ['ATA','ATG'],
                "Val": ['GTT','GTC','GTA','GTG'],
                "Ser": ['TCT','TC
            sort dataframe index by the second position from nested dictionaries
            Pythondot img5Lines of Code : 41dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            df = df.sort_index(key=lambda x: x.str.split().str[1].str.zfill(5))
            print(df)
            
            # Output
                           f1        f2        f3
            ARG 403 -0.265999       NaN -0.390653
            LYS 417       NaN -1.115154       NaN
            LEU 455 -1.948253 -2.125521 -1.988445
            .replace codes will not replace column with new column in python
            Pythondot img6Lines of Code : 18dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            df = pd.DataFrame({
                'WT_RESIDUE':['ALA', "REMARK", 'VAL', "LYS"]
            })
            codes = {'ALA':'A', 'ARG':'R', 'ASN':'N', 'ASP':'D', 'CYS':'C', 'GLU':'E', 'GLN':'Q', 'GLY':'G', 'HIS':'H', 'ILE':'I', 'LEU':'L', 'LYS':'K', 'MET':'M', 'PHE':'F', 'PRO
            Struggling to find the number of distinct amino acids
            Pythondot img7Lines of Code : 3dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            conversion_result = tuple(mrna_list)
            return [conversion_result, len(set(conversion_result))
            
            Iterate over and index a list?
            Pythondot img8Lines of Code : 37dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            AA_3_Letter_Code = {'A':"ALA",
                                "C":"CYS",
                                "D":"ASP",
                                "E":"GLU",
                                "F":"PHE",
                                "G":"GLY",
                                "H":"HIS",
                                "I
            Iterate over and index a list?
            Pythondot img9Lines of Code : 5dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            ref = {'T': 'Thr', 'H': 'His', 'G': 'Gly', 'I': 'Ile', 'L': 'Leu'}
            [f'{ref[s]} {i+1}' for i,s in enumerate(Seq)]
            
            ['Thr 1', 'His 2', 'Gly 3', 'Thr 4', 'Ile 5', 'Leu 6', 'His 7']
            
            copy iconCopy
            
            
            #This is my "main"
            def ElegirCamino():
                global códigoARN
                global códigoAA
                #here you can input your brainF*ck code that is going to be translated
                print("Inserte usted su código en notación especificada en el  README.txt")
              

            Community Discussions

            QUESTION

            How to force convert all my values from uint8 to int and not int64
            Asked 2018-Jul-20 at 01:16

            I have a numpy ndarray of size 112 * 92. This is basically a grayscale image read usingcv2.imread. Since its grayscale so its maximum value is 255.

            I am trying to encrypt this array using the phe paillier library: http://python-paillier.readthedocs.io/en/stable/usage.html#role-1

            But I get an error when I run the public_key.encrypt() command:

            ...

            ANSWER

            Answered 2018-Jul-19 at 16:42

            As far as I know (and you can see it in the sources here), you should pass only int or float. So you need to convert the ndarray to a nested list with int or float items. See ndarray.tolist.

            For example:

            Source https://stackoverflow.com/questions/51427180

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

            Vulnerabilities

            No vulnerabilities reported

            Install python-paillier

            You can install using 'pip install python-paillier' or download it from GitHub, PyPI.
            You can use python-paillier 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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