Python dependencies removed from Sequre

.github/workflows/ci.yml

@@ -25,7 +25,7 @@ jobs:
           tag_name: ${{ github.ref }}
           release_name: ${{ github.ref }}
           draft: false
-          prerelease: false
+          prerelease: true
 
       - name: Output Release URL File
         if: steps.check.outputs.MAKE_RELEASE

README.md

@@ -13,7 +13,7 @@ mkdir $HOME/.codon && curl -L https://github.com/0xTCG/sequre-mhe/releases/downl
 
 Then install Sequre:
 ```bash
-curl -L https://github.com/0xTCG/sequre-mhe/releases/download/v0.0.3-alpha/sequre-$(uname -s | awk '{print tolower($0)}')-$(uname -m).tar.gz | tar zxvf - -C $HOME/.codon/lib/codon/plugins
+curl -L https://github.com/0xTCG/sequre-mhe/releases/download/v0.0.4-alpha/sequre-$(uname -s | awk '{print tolower($0)}')-$(uname -m).tar.gz | tar zxvf - -C $HOME/.codon/lib/codon/plugins
 ```
 
 Afterwards, add alias for sequre command:

stdlib/helpers.codon

@@ -205,28 +205,3 @@ def _evaluate_and_reorder(mpc, mats):
 
 def matmul_reordering(mpc, mats):
     return _evaluate_and_reorder(mpc, [m for m in mats])
-
-
-# Python helpers
-@python
-def python_modulus(n: str, q: str) -> str:
-    return str(int(n) % int(q))
-
-
-@python
-def python_lin_reg_stat_sig(X: List[List[float]], y: List[float], predictions: List[float], weights: List[float]) -> List[float]:
-    import numpy as np
-    from scipy import stats
-
-    np_X = np.array(X)
-    np_y = np.array(y)
-    np_pred = np.array(predictions)
-    np_w = np.array(weights)
-
-    X_tilde = np.append(np.ones((len(np_X), 1)), np_X, axis=1)
-    mse = (sum((np_y - np_pred) ** 2)) / (len(X_tilde) - len(X_tilde[0]))
-    v_b = mse * (np.linalg.inv(np.dot(X_tilde.T, X_tilde)).diagonal())
-    s_b = np.sqrt(v_b)
-    t_b = np_w / s_b
-
-    return [2 * (1 - stats.t.cdf(np.abs(i), (len(X_tilde) - len(X_tilde[0])))) for i in t_b]

stdlib/sequre/utils/param.codon

@@ -48,5 +48,4 @@ P1_P2_SOCKET_PATH = f'{AF_PREFIX}{PORT_P1_P2}'
 # Stdlib
 DIV_MAX_N = 100000
 MATMUL_LEAF_SIZE = 64
-SIGMOID_APPROX_PATH = 'data/sigmoid_approx.txt'
 EIGEN_DECOMP_ITER_PER_EVAL = 5

tests/unit_tests/test_primitives.codon

@@ -4,7 +4,11 @@ from sequre.utils.testing import assert_eq
 from sequre.utils.param import *
 from sequre.utils.primitives import strassen, mod_inv, mod_pow
 
-from helpers import python_modulus
+
+# Python helpers required in this module
+@python
+def python_modulus(n: str, q: str) -> str:
+    return str(int(n) % int(q))
 
 
 def test_modular[TP](modulus: TP, algebraic_structure: str):