python-paillier | A library for Partially Homomorphic Encryption in Python | Cryptography library
kandi X-RAY | python-paillier Summary
kandi X-RAY | python-paillier Summary
A library for Partially Homomorphic Encryption in Python
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- 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
python-paillier Key Features
python-paillier Examples and Code Snippets
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
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"])
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
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
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
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
conversion_result = tuple(mrna_list)
return [conversion_result, len(set(conversion_result))
AA_3_Letter_Code = {'A':"ALA",
"C":"CYS",
"D":"ASP",
"E":"GLU",
"F":"PHE",
"G":"GLY",
"H":"HIS",
"I
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']
#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
Trending Discussions on python-paillier
QUESTION
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 16:42As 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:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install python-paillier
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.
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