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There is something wrong when Saving / Reloading ciphertexts in Windows10 Python3. Full error message:

======================================================================
ERROR: test_Pyfhel_5d_save_restore_batch (__main__.PyfhelTestCase)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "Pyfhel\Pyfhel.pyx", line 390, in Pyfhel.Pyfhel.Pyfhel.decryptBatch
RuntimeError: <Pyfhel ERROR> wrong encoding type in PyCtxt

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "..\Pyfhel\test.py", line 424, in test_Pyfhel_5d_save_restore_batch
    self.assertEqual(pyfhel.decryptBatch(loaded)[:4], [1, 2, 3, 4])
SystemError: <method 'decryptBatch' of 'Pyfhel.Pyfhel.Pyfhel' objects> returned a result with an error set

======================================================================
ERROR: test_Pyfhel_5d_save_restore_float (__main__.PyfhelTestCase)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "Pyfhel\Pyfhel.pyx", line 366, in Pyfhel.Pyfhel.Pyfhel.decryptFrac
RuntimeError: <Pyfhel ERROR> wrong encoding type in PyCtxt

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "..\Pyfhel\test.py", line 408, in test_Pyfhel_5d_save_restore_float
    self.assertEqual(pyfhel.decryptFrac(loaded), 3.125)
SystemError: <method 'decryptFrac' of 'Pyfhel.Pyfhel.Pyfhel' objects> returned a result with an error set

======================================================================
ERROR: test_Pyfhel_5d_save_restore_int (__main__.PyfhelTestCase)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "Pyfhel\Pyfhel.pyx", line 343, in Pyfhel.Pyfhel.Pyfhel.decryptInt
RuntimeError: <Pyfhel ERROR> wrong encoding type in PyCtxt

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "..\Pyfhel\test.py", line 392, in test_Pyfhel_5d_save_restore_int
    self.assertEqual(pyfhel.decryptInt(loaded), 42)
SystemError: <method 'decryptInt' of 'Pyfhel.Pyfhel.Pyfhel' objects> returned a result with an error set

======================================================================
FAIL: test_Pyfhel_5c_save_restore_all (__main__.PyfhelTestCase)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "..\Pyfhel\test.py", line 375, in test_Pyfhel_5c_save_restore_all
    pyfhel2.decryptInt(ctxt_restored), 42, "decrypting ciphertext should work"

Hello,

is it possible to manage the keys separately?

Hi Alberto,

I'm starting my final project master's degree and your python project is a must :)

I'm trying to make install everything (Ubuntu 16.04.2) and the first stopper is when I have tried to make & make install Afhel, HELib has been installed like a charm, however it throws an error:
Afhel.cpp:50:14: error: definition of implicitly-declared ‘Afhel::Afhel()’ Afhel::Afhel(){} ^ compilation terminated due to -Wfatal-errors. Makefile:145: recipe for target 'Afhel.lo' failed make: *** [Afhel.lo] Error 1

Could I have some advices to fix that and work with this Python project?
If you want to speak in Spanish about this, you can reach me at LinkedIn (request has been sent from myself).

Thanks in advance!

P.S.- Also, I have modified some separator errors in the makefiles due to spaces vs tab.
P.S.2.- Could you update the tutorial to install it with the new version? +The new SEAL library should be get from: https://download.microsoft.com/download/B/3/7/B3720F6B-4F4A-4B54-9C6C-751EF194CBE7/SEAL_2.3.1.tar.gz

The version 2.3.0 is not available anymore :(

Unable to install Pyfhle on MacBook. I have installed all the dependencies but it's showing this error when I try to run pip install. I tried looking at existing issue but could not find anything. Please let me know if I might have missed a similar issue for MacOS

Error:

ctxtSum = ctxt1 + ctxt2 # ctxt1 += ctxt2 for quicker inplace operation
Traceback (most recent call last):
File "", line 1, in
File "Pyfhel/PyCtxt.pyx", line 126, in Pyfhel.PyCtxt.PyCtxt.add
AttributeError: 'NoneType' object has no attribute 'add_encr'

i used :- pip install PyFhel , for installing pyfhel on my prompt but it has been showing errors " Failed building wheel for Pyfhel", please give a proper procedure to install pyfhel

Hi,I recently got my hands-on with this amazing library.But i got some problems when i applied logistic regression model with Stochastic gradient descent on encrypted data(Dataset:141rows3cols). when updating the weights until the fifth time,the size of Wx getting very large.Maybe I should use relinKeyGen(int bitCount, int size) and relinearize(PyCtxt ctxt) to reduce its size down to 2.

1.Before i didn't use relinearize(), the sizes showed as followings.

     <Pyfhel Ciphertext,encoding=FRACTIONAL,size=3>
     <Pyfhel Ciphertext,encoding=FRACTIONAL,size=12>
     <Pyfhel Ciphertext,encoding=FRACTIONAL,size=48>
     <Pyfhel Ciphertext,encoding=FRACTIONAL,size=192>
     <Pyfhel Ciphertext,encoding=FRACTIONAL,size=768>

And then the Server went wrong.

2.when initializing relinKeyGen(20,6) and using relinearize(),another problem occured.

SystemError: <method 'relinearize' of 'Pyfhel.Pyfhel.Pyfhel' objects> returned a result with an error set

The key codes are as follow.The only difference about situation 1&2 is " self.pyfhel.relinearize(hy) ".

def dot_product(self,a,theta):
       sum=self.pyfhel.encryptFrac(0)
       for i in range(len(a)):
            sum=self.pyfhel.add(sum,self.pyfhel.multiply(a[i],theta[i],in_new_ctxt=True),in_new_ctxt=True)
       print("dot:",sum)
       return sum

def sigmoid():
       pass
            
def BGD(self,X_enc,y_enc):
        m,n=X_enc.shape
        theta=np.ones((n,1))
        theta=self.encrypt_theta(theta)
        iters=100
        for i in range(iters):
            dataIndex=list(range(m))
            for j in range(m):
                alpha = 4.0/(1.0+i+j)+0.01
                alpha_enc=self.pyfhel.encryptFrac(alpha)
                randIndex=int(random.uniform(0,m))
                hy=self.dot_product(X_enc[randIndex],theta)
                **self.pyfhel.relinearize(hy) //SystemError:：<method 
                'relinearize' of 'Pyfhel.Pyfhel.Pyfhel' objects> returned a 
                 result with an error set**
                X_sigmoid=self.sigmoid(hy)
                error=self.pyfhel.sub(X_sigmoid,y_enc[randIndex])
                error_alpha=self.pyfhel.multiply(error,alpha_enc)
                x_error_alpha=self.mul_fra(X_enc[randIndex],error_alpha)
                theta=self.sub_array(theta,x_error_alpha)
                del(dataIndex[randIndex])
        return theta

My question:
1.problem ——the size of dot.product getting large,can we use the function relinKeyGen() and using relinearize() to solve it?
2.If it's,how to use the function relinKeyGen() and relinearize() ,even the Args relinKeyGen().I couldn't find any example in github -_- so sad.
If it's not,what should I do next?
Looking forward to your reply soon.Thankkkkkkk so much!

from Pyfhel import Pyfhel, PyPtxt, PyCtxt

def save_and_load():

	HE = Pyfhel()
	HE.contextGen(p=65537)
	HE.keyGen()
	integer1 = 10
	ctxt = HE.encryptInt(integer1)
	ctxt.save("ctxt.c1")
	m = PyCtxt()
	result = m.load("ctxt.c1")
	print(result)
	print(HE.decryptInt(result))


if __name__ == "__main__":
	save_and_load()
	print('------------')

Output:

------------
None
Traceback (most recent call last):
  File "Pyfhel/Pyfhel.pyx", line 338, in Pyfhel.Pyfhel.Pyfhel.decryptInt
RuntimeError: <Pyfhel ERROR> wrong encoding type in PyCtxt

The above exception was the direct cause of the following exception:

[...]
SystemError: <method 'decryptInt' of 'Pyfhel.Pyfhel.Pyfhel' objects> returned a result with an error set

In multiple places I see Conflicting Encoding types in the comments, for instance in
https://github.com/ibarrond/Pyfhel/blob/master/Pyfhel/PyCtxt.pyx

you can find both

# Encoding types: 1-UNDEFINED, 2-INTEGER, 3-FRACTIONAL, 4-BATCH

and

"""Sets Encoding type: 0-UNDEFINED, 1-INTEGER, 2-FRACTIONAL, 3-BATCH"""

I downloaded Pyfhel and when i am trying to install errors was occurred. I am attaching the screen shots of errors. Please help me to properly install Pyfhel and use the library.

Is there a way to get a copy of the public key so I can send it to another party to have them encrypt the data I want to compute?

Hi,
I have a problem with using Pyfhel. I installed with pip install command and tested it with file Demo_Batching_SIMD.py.

My environment : pip --version pip 19.0.3, Python 3.6.3, numpy==1.16.2, Pyfhel==2.0.0a5, Cython==0.29.6, g++ --version . g++ (Ubuntu 7.1.0-10ubuntu116.04.york0) 7.1.0, gcc (Ubuntu 7.1.0-10ubuntu116.04.york0) 7.1.0

The error is shown below. Can you help me?

(FHEenv):~/Pyfhel/examples$ python Demo_Batching_SIMD.py 
==============================================================
===================== Pyfhel HELLO WORLD =====================
==============================================================
1. Creating Context and KeyGen in a Pyfhel Object 
2. Encrypting integers
    int  127 -> ctxt1  <class 'Pyfhel.PyCtxt.PyCtxt'>
    int  -2 -> ctxt2  <class 'Pyfhel.PyCtxt.PyCtxt'>
3. Operating with encrypted integers
Traceback (most recent call last):
  File "Demo_Batching_SIMD.py", line 35, in <module>
    ctxtSum = ctxt1 + ctxt2         # `ctxt1 += ctxt2` for quicker inplace operation
  File "Pyfhel/PyCtxt.pyx", line 126, in Pyfhel.PyCtxt.PyCtxt.__add__
AttributeError: 'NoneType' object has no attribute 'add_encr'
(FHEenv):~/Pyfhel/examples$ 

when I install pyfhel, there is an error called:Pyfhel/SEAL/SEAL/seal/locks.h:12:50: error: 'shared_mutex' is unavailable: introduced in macOS 10.12
can you help me to fix it. Thank you.

Here is my code:

image_encrypted[0][0].save('a.pt')
PyPtxt.load('a.pt')

Error messages:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-61-d0c7229d6a9a> in <module>
      1 image_encrypted[0][0].save('a.pt')
----> 2 PyPtxt.load("a.pt")

TypeError: descriptor 'load' requires a 'Pyfhel.PyPtxt.PyPtxt' object but received a 'str'

How can I load plaintext from the file?

The test is not integrated into the jenkins build, which makes it harder to make sure new code does not break old code.

Demos and examples have not been updated for version2 for more than 3 months. It will be helpful to provide a document for the functionality and examples on how to use Pyfhel.

The following examples share the exact same code, and some of them do not reflect their name. It would be nice to be synced.

https://github.com/ibarrond/Pyfhel/blob/master/examples/Demo_HelloWorld.py

https://github.com/ibarrond/Pyfhel/blob/master/examples/Demo_Batching_SIMD.py

https://github.com/ibarrond/Pyfhel/blob/master/examples/Demo_ContextParameters.py

https://github.com/ibarrond/Pyfhel/blob/master/examples/Demo_Float.py

There is an issue with the multiplication part of two ciphertexts. The issue is present for integers and fractions (tested).



Also in the demo's the error pops up.
Is it an overflow?

Does this library support division? Thank you.

Apparently something with the memory views is not working correctly.
Sometimes this testcase works sometimes it does not work.
When creating and decrypting a ciphertext by hand the same happens when using the encryptArray and decryptArray functions.

I don't see why this is happening and in doubt I would suggest removing the two functions: encryptBatch and decryptBatch provide basically the same functionality without being weird. We could let encryptBatch support numpy arrays.

Oh,I met a new problem when I try to do addition between two loaded ciphertext.After serveral try,I found if we put the loaded ciphertext first when doing computation it will throw a bug
AttributeError: 'NoneType' object has no attribute 'add'.In fact,the ciphertext could be loaded and decrypted correctly.So we are now in trouble and need your help.

At least the following tests should be added:

• saving keys and a ciphertext and restoring them again
  • variant: only with public key
  • variant: including private key
  • variant: including relinearization key and rotation key
• less statefulness. convert as many self.field variables to local variables

Dear developer, I want to extract the symbol bits of encrypted data separately, and then decrypt the encrypted symbol bits. What should I do?

Full error title:

error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual C++ Build Tools": https://visualstudio.microsoft.com/downloads/

I got tired of getting this error, and thus I'm documenting it for my future self.

>>> import Pyfhel
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/myuser/Documents/Pyfhel/Pyfhel/__init__.py", line 1, in <module>
    from .Pyfhel import Pyfhel
ModuleNotFoundError: No module named 'Pyfhel.Pyfhel'

Include a dockerfile for easy setup

Is it possible to change the polynomial modulus? It doesn't appear in the arguments of contextGen().

When I execute the following command

./configure
cmake .
make
make install
These are all working fine.
But, an error is still reported when running examples: ImportError: No module named 'Pyfhel'
My system configuration is:Ubuntu16.04 Python 3.5 & Cython on top of C++17 g++==7.5.0

Test_sum_HElib.cpp includes a header-file utils/Timer.h which is not available in the repository. Hence the execution "make Test_sum_HElib_x" leads to an error as stated below.

''''''''''

electrical@electrical-desktop:~/Downloads/HElib/src$ make Test_sum_HElib_x
HElib requires NTL version 10.0.0 or higher, see http://shoup.net/ntl
If you get compilation errors, try to add/remove -std=c++11 in Makefile
g++ -g -O2 -std=c++11 -pthread -DFHE_THREADS -DFHE_BOOT_THREADS -fmax-errors=2 -o >Test_sum_HElib_x Test_sum_HElib.cpp fhe.a -L/usr/local/lib -lntl -lgmp -lm
Test_sum_HElib.cpp:2:25: fatal error: utils/Timer.h: No such file or directory
compilation terminated.
Makefile:154: recipe for target 'Test_sum_HElib_x' failed
make: *** [Test_sum_HElib_x] Error 1

''''''''''

Hello, i'm having trouble with saving some ciphertexts i guess. I have a code, which is like the simple integer summation test, but im trying to use the load and save functions, so with second he(smth like fhe) to do the summation with public key. Then it returns the answer and decrypts in the main he.
But when i try to decrypt, it says "Pyfhel object at xx........" returned a result with an error set.
My code example:

from Pyfhel import Pyfhel,PyCtxt

he = Pyfhel()

he.contextGen(1000)
he.saveContext(b'C:/Users/burhan/Desktop/last/context.txt')
he.keyGen()
he.savepublicKey(b'C:/Users/burhan/Desktop/last/pk.txt')

v1 = 5
v2 = 4
p1 = PyCtxt()
p2 = PyCtxt()
p3 = PyCtxt()
he.encryptInt(v1,p1)
he.encryptInt(v2,p2)

b = he.noiseLevel(p1)
k = he.noiseLevel(p2)
print(p1)
print(p2)
print(b)
print(k)

p1.save(b'C:/Users/burhan/Desktop/last/p1.c1')
p2.save(b'C:/Users/burhan/Desktop/last/p2.c1')

fhe = Pyfhel()
fhe.restoreContext(b'C:/Users/burhan/Desktop/last/context.txt')
fhe.restorepublicKey(b'C:/Users/burhan/Desktop/last/pk.txt')

p6 = PyCtxt()
p4 = PyCtxt()
p5 = PyCtxt()

p4.load(b'C:/Users/burhan/Desktop/last/p1.c1')
p5.load(b'C:/Users/burhan/Desktop/last/p2.c1')

p6 = fhe.add(p4,p5)
p6.save(b'C:/Users/burhan/Desktop/last/p6.c1')
p3.load(b'C:/Users/burhan/Desktop/last/p6.c1')
a = he.decryptInt(p3)
n = he.noiseLevel(p3)

print(a)
print(n)

I'm assuming its happening because of the windows language coding but im not sure. Thanks for your help , have a nice day!

Are there any plans for a conversion to python 3?

I installed pyfhel and ran some code. The operations performed on 2 numbers worked well but with the 3rd number, the result was wrong. This is my code:

from Pyfhel import Pyfhel
HE = Pyfhel()
HE.contextGen(p=65537)
HE.keyGen()

a = 1.1
b = 2.2
c = 3.0

enc_a = HE.encryptFrac(a)
enc_b = HE.encryptFrac(b)
enc_c = HE.encryptFrac(c)

print(HE.decryptFrac(enc_a*enc_b))
print(HE.decryptFrac(enc_b*enc_c))
print(HE.decryptFrac(enc_a*enc_b*enc_c))

the results are:

2.4199999982956797
6.599999999860302 
2.925756250316916e+18

When entering a bigger plaintext modulus, some weird overflows happen.
This is probably caused by a integer 32 / integer 64 thing.

Hello!

I just wanted to ask whether the shift operator was going to be implemented maybe in the future, since I saw in the old documentation the shift function reported in the class Pyfhel: "shift -> SHIFT each cyphertext inside PyCtxt ctxt for each ID in it."

Thank you!

By the way, amazing work with this library. I'm doing some research in this field and I found using Pyfhel really straightforward.

Not long ago, the original SEAL project was moved to GitHub (https://github.com/microsoft/seal) and several upgrades were included (CKKS scheme). The idea is to upgrade Pyfhel to use this SEAL as a submodule and include all this new functionality.

I haven't had time to test the installation properly (just one quick install with a virtualenv in the same machine I've developed it). Please come back to me wiht all those juicy errors!

# -*- coding:utf-8 -*-
from Pyfhel import Pyfhel, PyPtxt, PyCtxt
HE = Pyfhel()
HE.contextGen(p=65537)
HE.keyGen()
integer1 = 10
ctxt = HE.encryptInt(integer1)
ctxt.save("ctxt.c1")
m = PyCtxt()
result = m .load("ctxt.c1")
# print(HE.decryptInt(result))

It is just because the ciphertext exported by the load() function cannot be decrypted on the Windows platform.

The bot created this issue to inform you that pyup.io has been set up on this repo.
Once you have closed it, the bot will open pull requests for updates as soon as they are available.

Before I can exponentiate a ciphertext using the power function, I need to generate a relinearization key. But after invoking relinKeyGen and then using power, I still get the error message:
RuntimeError: Relinearization key not initialized

It seems that the culprit may be in the following line:

Hi,

I recently got my hands-on with this amazing library. I was able to encrypt/decrypt a simple image with help of Pyfhel's encrypt/decrypt operations. The image was converted to a 1D array first and then encryptBatch was applied. The resulted PyCtxt was decrypted with decryptBatch and converted back to image matrix while preserving its shape to get the original image.

I need to apply a classification model on this encrypted data now. The model should train with encrypted data and an unencrypted or encrypted label and predict the output.

However, I am getting following runtime error while training the model.

RuntimeError Traceback (most recent call last)
in
----> 1 clf = LogisticRegression(random_state=42,verbose=10).fit(X_train, y_train)

~/anaconda3/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py in fit(self, X, y, sample_weight)
1525
1526 X, y = check_X_y(X, y, accept_sparse='csr', dtype=dtype, order="C",
-> 1527 accept_large_sparse=solver != 'liblinear')
1528 check_classification_targets(y)
1529 self.classes = np.unique(y)

~/anaconda3/lib/python3.7/site-packages/sklearn/utils/validation.py in check_X_y(X, y, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, multi_output, ensure_min_samples, ensure_min_features, y_numeric, warn_on_dtype, estimator)
753 ensure_min_features=ensure_min_features,
754 warn_on_dtype=warn_on_dtype,
--> 755 estimator=estimator)
756 if multi_output:
757 y = check_array(y, 'csr', force_all_finite=True, ensure_2d=False,

~/anaconda3/lib/python3.7/site-packages/sklearn/utils/validation.py in check_array(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, warn_on_dtype, estimator)
529 array = array.astype(dtype, casting="unsafe", copy=False)
530 else:
--> 531 array = np.asarray(array, order=order, dtype=dtype)
532 except ComplexWarning:
533 raise ValueError("Complex data not supported

~/anaconda3/lib/python3.7/site-packages/numpy/core/_asarray.py in asarray(a, dtype, order)
83
84 """
---> 85 return array(a, dtype, copy=False, order=order)
86
87

~/anaconda3/lib/python3.7/site-packages/pandas/core/series.py in array(self, dtype)
752 dtype='datetime64[ns]')
753 """
--> 754 return np.asarray(self.array, dtype)
755
756 # ----------------------------------------------------------------------

~/anaconda3/lib/python3.7/site-packages/numpy/core/_asarray.py in asarray(a, dtype, order)
83
84 """
---> 85 return array(a, dtype, copy=False, order=order)
86
87

~/anaconda3/lib/python3.7/site-packages/pandas/core/arrays/numpy_.py in array(self, dtype)
182
183 def array(self, dtype=None) -> np.ndarray:
--> 184 return np.asarray(self._ndarray, dtype=dtype)
185
186 _HANDLED_TYPES = (np.ndarray, numbers.Number)

~/anaconda3/lib/python3.7/site-packages/numpy/core/_asarray.py in asarray(a, dtype, order)
83
84 """
---> 85 return array(a, dtype, copy=False, order=order)
86
87

Pyfhel/PyCtxt.pyx in Pyfhel.PyCtxt.PyCtxt.float()
RuntimeError: wrong PyCtxt encoding (not FRACTIONAL)

When running the Demo_Encrypting.py, result in a Windows10 Python3 is:

==============================================================
===================== Pyfhel ENCRYPTING ======================
==============================================================
1. Creating Context and KeyGen in a Pyfhel Object
2. Encrypting integers with encryptInt
    Empty created ctxt_i2:  <Pyfhel Ciphertext, encoding=UNDEFINED, size=2>
    int  94 -> ctxt_i1  <Pyfhel Ciphertext, encoding=INTEGER, size=2>
    int  -235 -> ctxt_i2  <Pyfhel Ciphertext, encoding=INTEGER, size=2>
3. Encrypting floating point values with encryptFrac
    float  3.5 -> ctxt_f1  <Pyfhel Ciphertext, encoding=FRACTIONAL, size=2>
    float  -7.8 -> ctxt_f2  <Pyfhel Ciphertext, encoding=FRACTIONAL, size=2>
4. Encrypting lists of integers using batching with encryptBatch
    list  [1, 2, 3, 4, 5, 6] -> ctxt_b1  <Pyfhel Ciphertext, encoding=BATCH, size=2>
    list  [-2, 3, -4, -3, 2, -1] -> ctxt_b2  <Pyfhel Ciphertext, encoding=BATCH, size=2>
5. Encrypting numpy 1D integer vectors using batching encryptArray
Traceback (most recent call last):
  File ".\Demo_Encrypting.py", line 49, in <module>
    ctxt_a1 = HE.encryptArray(array1)   # Encrypting array1 in a new PyCtxt with encryptArray
  File "Pyfhel/Pyfhel.pyx", line 228, in Pyfhel.Pyfhel.Pyfhel.encryptArray
ValueError: Buffer dtype mismatch, expected 'int64_t' but got 'long'

Maybe related to https://stackoverflow.com/questions/32262976/cython-buffer-type-mismatch-expected-int-but-got-long?

Hello,

I installed Pyfhel use pip install Pyfhel and use python3.6, then ran Pyfhel/examples/Demo_HelloWorld.py, but got the following error:

==============================================================
===================== Pyfhel HELLO WORLD =====================
==============================================================
1. Creating Context and KeyGen in a Pyfhel Object 
2. Encrypting integers
Traceback (most recent call last):
  File "Demo_HelloWorld.py", line 29, in <module>
    ctxt1 = HE.encryptInt(integer1) # Encryption makes use of the public key
  File "Pyfhel/Pyfhel.pyx", line 150, in Pyfhel.Pyfhel.Pyfhel.encryptInt
  File "Pyfhel/Pyfhel.pyx", line 168, in Pyfhel.Pyfhel.Pyfhel.encryptInt
RuntimeError: cannot resize aliased Ciphertext

Can this file be used to install HELib.

when i tried to make HELib using this file it resulted in error:

`libtool: link: g++  -fPIC -DPIC -shared   .libs/NumbTh.o .libs/timing.o .libs/bluestein.o .libs/PAlgebra.o  .libs/CModulus.o .libs/FHEContext.o .libs/IndexSet.o .libs/DoubleCRT.o .libs/FHE.o .libs/KeySwitching.o .libs/Ctxt.o .libs/EncryptedArray.o .libs/replicate.o .libs/hypercube.o .libs/matching.o .libs/powerful.o .libs/BenesNetwork.o .libs/permutations.o .libs/PermNetwork.o .libs/OptimizePermutations.o .libs/eqtesting.o .libs/polyEval.o .libs/extractDigits.o .libs/EvalMap.o .libs/recryption.o .libs/debugging.o .libs/matmul.o .libs/intraSlot.o .libs/binaryArith.o .libs/binaryCompare.o .libs/tableLookup.o   -L/usr/local/lib -lntl /usr/local/lib/libgmp.so -lstdc++ -lm -lc -lgcc_s   -g -O2 -pthread   -pthread -Wl,-soname -Wl,libfhe.so.1 -o .libs/libfhe.so.1.0.0`           

/usr/bin/ld: /usr/local/lib/libntl.a(FFT.o): relocation R_X86_64_32 against .rodata.str1.8' can not be used when making a shared object; recompile with -fPIC /usr/local/lib/libntl.a: error adding symbols: Bad value collect2: error: ld returned 1 exit status Makefile:159: recipe for target "libfhe.la" failed make: *** [libfhe.la] Error 1

thank you

Hello,

When installing Pyfhel with pip I got the following error :

Collecting Pyfhel
  Downloading https://files.pythonhosted.org/packages/36/ff/dddccc7f782acb14f62f2cd66bf54b90269fd7a30e9771a1378df2ffca9a/Pyfhel-2.0.0a4.tar.gz (745kB)
    100% |████████████████████████████████| 747kB 2.8MB/s 
    Complete output from command python setup.py egg_info:
    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "/tmp/pip-install-e3lbn659/Pyfhel/setup.py", line 7, in <module>
        import numpy
    ModuleNotFoundError: No module named 'numpy'
    
    ----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in /tmp/pip-install-e3lbn659/Pyfhel/

I think, it means that numpy should be moved from install_requires to setup_requires in setup.py.

Pyfhel does not automatically detect numpy as a dependency and install it.
Rather, it throws a traceback error "numpy not found" (in PyCharm).

Edit: after I manually installed numpy, the pyfhel install command executed fine.

Env: Python 3.7.8 (tags/v3.7.8:4b47a5b6ba, Jun 28 2020, 08:53:46) [MSC v.1916 64 bit (AMD64)] on win32

I have encrypted every value in a column in a pandas dataframe .
Now when I use np.mean() on that column, it is returning the unencrypted result.
I am expecting it to return the encrypted mean.
Is this an expected behaviour?

Dear developer, I downloaded this file earlier and found the Demo_Batching_SIMD.py file in examples does not mention SIMD operation, Could you show me an example of SIMD operation? Thanks.