repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
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|---|---|---|---|---|---|---|
3d_sir | 3d_sir-master/sir3d/synth/multiprocessing.py | import numpy as np
try:
from mpi4py import MPI
_mpi_available = True
except:
_mpi_available = False
from enum import IntEnum
import h5py
from tqdm import tqdm, trange
import logging
from . import slant
class tags(IntEnum):
READY = 0
DONE = 1
EXIT = 2
START = 3
class Iterator(object):
... | 22,823 | 41.033149 | 155 | py |
3d_sir | 3d_sir-master/sir3d/synth/jaime_slant.py | import numpy as np
import sys
"""
Model slant+projection tools
"""
# *****************************************************************************
def fftshift_image(im_in, dy=0.0, dx=0.0, isPeriodic=True, useLog=False):
"""
FFTSHIFT_IMAGE, shifts an image by dy, dx pixels using
Fourier transforms.
... | 7,068 | 30.558036 | 143 | py |
3d_sir | 3d_sir-master/sir3d/psf/degrade_backup.py | import numpy as np
try:
from mpi4py import MPI
_mpi_available = True
except:
_mpi_available = False
from enum import IntEnum
import h5py
from tqdm import tqdm, trange
import logging
import scipy.interpolate
import skimage.transform
import pyfftw.interfaces as fft
# from ipdb import set_trace as stop
clas... | 15,334 | 36.585784 | 159 | py |
3d_sir | 3d_sir-master/sir3d/psf/__init__.py | from .degrade import *
| 23 | 11 | 22 | py |
3d_sir | 3d_sir-master/sir3d/psf/degrade.py | import numpy as np
try:
from mpi4py import MPI
_mpi_available = True
except:
_mpi_available = False
from enum import IntEnum
import h5py
from tqdm import tqdm, trange
import logging
import scipy.interpolate
import skimage.transform
import pyfftw.interfaces as fft
# from ipdb import set_trace as stop
clas... | 16,222 | 36.640371 | 158 | py |
HamiltonianOpInf | HamiltonianOpInf-main/KdV_BBM_utils.py | # Functions for running the KdV and BBM experiments
# Anthony Gruber 3-31-2023
# Import necessary packages
from functools import partial
import numpy as np
from numpy.linalg import norm, solve
from numpy.fft import rfft, irfft
from scipy.optimize import root
from scipy.integrate import solve_ivp
from scipy.linalg im... | 14,804 | 29.588843 | 79 | py |
HamiltonianOpInf | HamiltonianOpInf-main/OpInf_utils.py | # Convenience functions for running the various OpInf procedures
# Anthony Gruber 5-28-2023
import numpy as np
from numpy.linalg import solve
from scipy.sparse import csc_matrix, identity, issparse
from scipy.sparse.linalg import spsolve
# Finite differences: 4th order in middle, 1st order at ends
def FDapprox(y, st... | 6,737 | 32.859296 | 77 | py |
HamiltonianOpInf | HamiltonianOpInf-main/ROM_utils.py | # Convenience functions for running the ROMs
# Anthony Gruber 3-31-2023
# Standared numpy/scipy imports
import numpy as np
from numpy.linalg import norm, eigvals
from scipy.linalg import lu_factor, lu_solve
from scipy.sparse import csc_matrix, identity
from scipy.sparse.linalg import factorized
# For additional plott... | 8,335 | 29.093863 | 78 | py |
degree2 | degree2-master/vector_valued_smfs.py | # -*- coding: utf-8 -*-
'''
The space of vector valued Siegel modular forms of degree two.
cf
Satoh, On vector valued Siegel modular forms of degree two,
Ibukiyama, Vector valued Siegel modular forms of symmetric tensor weight
of small degrees.
'''
import operator
from sage.misc.cachefunc import cached_method
from d... | 6,907 | 34.06599 | 82 | py |
degree2 | degree2-master/const.py | # -*- coding: utf-8 -*-
'''
A module for construction of vector valued Siegel modular forms.
'''
from __future__ import print_function
from abc import ABCMeta, abstractmethod, abstractproperty
import os
import hashlib
import time
from sage.all import (cached_method, mul, fork, matrix, QQ, gcd, latex,
... | 24,913 | 30.10362 | 79 | py |
degree2 | degree2-master/hecke_module.py | # -*- coding: utf-8 -*-
from abc import ABCMeta, abstractmethod, abstractproperty
import operator
import sage
from sage.all import (factor, ZZ, QQ, PolynomialRing, matrix,
zero_vector, vector, gcd, valuation)
from sage.misc.cachefunc import cached_method
from degree2.utils import (_is_triple_of... | 17,368 | 31.648496 | 87 | py |
degree2 | degree2-master/modular_form_module.py | # -*- coding: utf-8; mode: sage -*-
from abc import ABCMeta, abstractmethod
from sage.all import matrix, QQ, PolynomialRing, identity_matrix, vector
class ModularFormModule(object):
__metaclass__ = ABCMeta
@abstractmethod
def basis(self):
'''
Should return a list [b_i for i = 0, ..., n-1... | 3,849 | 33.684685 | 72 | py |
degree2 | degree2-master/all.py | # -*- coding: utf-8 -*-
from degree2.scalar_valued_smfs import (
x10_with_prec, x12_with_prec,
x35_with_prec, eisenstein_series_degree2,
KlingenEisensteinAndCuspForms,
y12_with_prec, CuspFormsDegree2,
degree2_modular_forms_ring_level1_gens)
from degree2.scalar_valued_smfs import SpaceOfModForms as ... | 759 | 32.043478 | 78 | py |
degree2 | degree2-master/tsushima_dimension_formula.py | # -*- coding: utf-8 -*-
from sage.all import (NumberField, var, QQ, PolynomialRing, cached_function,
dimension_cusp_forms, O, PowerSeriesRing)
global_ring = PolynomialRing(QQ, names="t,s")
def derivative_exp(f, n, t):
if n == 0:
return f
else:
return derivative_exp(t * f... | 8,747 | 30.467626 | 79 | py |
degree2 | degree2-master/utils.py | # -*- coding: utf-8 -*-
from __future__ import print_function
import traceback
from multiprocessing import Process, Pipe, cpu_count
import operator
from itertools import groupby
from abc import ABCMeta, abstractmethod
import sage
from sage.misc.cachefunc import cached_function
from sage.all import CC, RR, factorial, ... | 7,573 | 24.761905 | 82 | py |
degree2 | degree2-master/__init__.py | # -*- coding: utf-8 -*-
| 24 | 11.5 | 23 | py |
degree2 | degree2-master/elements.py | # -*- coding: utf-8 -*-
from abc import ABCMeta, abstractmethod
import operator
from itertools import imap
import sage
from sage.all import (QQ, save, load, gcd, PolynomialRing, divisors, mod,
vector)
from degree2.utils import (is_number, list_group_by, CommRingLikeElment, pmap)
from degree2.b... | 39,573 | 32.881849 | 92 | py |
degree2 | degree2-master/standard_l_scalar_valued.py | # -*- coding: utf-8; mode: sage -*-
'''
Algebraic part of a value of the standard L of Siegel cusp forms of
degree 2.
Cf.
[Kat] H. Katsurada, exact standard zeta values of Siegel modular forms,
Experimental Mathematics (2010), 19:1, 65-77
Original implementation was done by H. Katsurada by the wolfram language.
'''
fr... | 4,536 | 32.858209 | 92 | py |
degree2 | degree2-master/scalar_valued_smfs.py | # -*- coding: utf-8 -*-
import os
import operator
from abc import ABCMeta, abstractproperty
import sage
from sage.misc.cachefunc import cached_method, cached_function
from sage.all import (QQ, save, load, gcd, PolynomialRing,
ZZ, CuspForms,
floor, matrix, factor, sqrt, ceil,
... | 22,427 | 30.994294 | 83 | py |
degree2 | degree2-master/diff_operator_pullback_vector_valued.py | # -*- coding: utf-8 -*-
'''
cf.
[Bö] S.Böcherer, Über die Fourier-Jacobi-Entwickling Siegelscher Eisensteinreihen II,
Mathematische Zeichtschrift, 189 (1985), 81 - 110.
[BSY] S. Böcherer, T. Satoh, T. Yamazaki, On the pullback of a differential operator
and its application to vector valued Eisenstein series,
Comment. ... | 12,790 | 32.484293 | 96 | py |
degree2 | degree2-master/rankin_cohen_diff.py | # -*- coding: utf-8 -*-
from sage.all import QQ, PolynomialRing, matrix, log, cached_function, fork
from degree2.utils import mul, combination, group, pmap
from degree2.elements import SymWtGenElt as SWGElt
from degree2.elements import (QexpLevel1, QseriesTimesQminushalf,
ModFormQexpLev... | 17,142 | 31.467803 | 89 | py |
degree2 | degree2-master/basic_operation.py | # -*- coding: utf-8 -*-
import multiprocessing
from sage.all import Integer, ZZ, gcd, QQ, mod, floor, sqrt
from sage.misc.cachefunc import cached_function
from degree2.utils import (list_group_by, partition_weighted,
_is_triple_of_integers, pmap)
def _common_base_ring(r1, r2):
if r1.h... | 12,176 | 28.555825 | 82 | py |
degree2 | degree2-master/interpolate.py | # -*- coding: utf-8 -*-
import multiprocessing
from degree2.basic_operation import PrecisionDeg2
from degree2.elements import ModFormQexpLevel1, QexpLevel1
from degree2.utils import group, mul, pmap
from sage.all import QQ, ZZ, PolynomialRing, floor, matrix, sqrt
def _to_polynomial(f, val1):
prec = f.prec.value
... | 3,922 | 34.026786 | 90 | py |
degree2 | degree2-master/vector_valued_impl/utils.py | # -*- coding: utf-8; mode: sage -*-
import os
data_dir = os.path.join(os.getenv("HOME"), "data/vector_valued")
| 112 | 21.6 | 64 | py |
degree2 | degree2-master/vector_valued_impl/__init__.py | 0 | 0 | 0 | py | |
degree2 | degree2-master/vector_valued_impl/sym2/odd_structure.py | '''
This module provides functions gen_consts and ignored_dct.
cf. Ibukiyama, Vector valued Siegel modular forms of symmetric tensor weight
of small degrees.
'''
from degree2.const import ScalarModFormConst as SMFC
from degree2.const import ConstVectValued
def cvv(w1, w2, w3):
return ConstVectValued(2, [SMFC([w]... | 556 | 23.217391 | 76 | py |
degree2 | degree2-master/vector_valued_impl/sym2/even_structure.py | '''This module provides functions gen_consts and ignored_dct.
cf. Satoh, On vector valued Siegel modular forms of degree two.
'''
from degree2.const import ScalarModFormConst as SMFC
from degree2.const import ConstVectValued
def cvv(w1, w2):
return ConstVectValued(2, [SMFC([w1]), SMFC([w2])], inc=0, tp=None)
d... | 531 | 25.6 | 71 | py |
degree2 | degree2-master/vector_valued_impl/sym2/__init__.py | 0 | 0 | 0 | py | |
degree2 | degree2-master/vector_valued_impl/tests/test_eigenvalue.py | from sage.all import (ComplexField, NumberField, PolynomialRing, CuspForms, QQ,
CartesianProduct, fork)
import unittest
from degree2.vector_valued_smfs import vector_valued_siegel_modular_forms as vvsmf
from degree2.basic_operation import number_of_procs
def _hecke_pol_klingen(k, j):
'''k: e... | 3,563 | 38.6 | 88 | py |
degree2 | degree2-master/vector_valued_impl/tests/__init__.py | 0 | 0 | 0 | py | |
degree2 | degree2-master/vector_valued_impl/sym4/odd_structure.py | '''
This module provides functions gen_consts and ignored_dct.
cf. Ibukiyama, Vector valued Siegel modular forms of symmetric tensor weight
of small degrees.
'''
from degree2.const import ScalarModFormConst as SMFC
from degree2.const import ConstVectValued
def cvv(w1, w2, w3):
return ConstVectValued(4, [SMFC([w]... | 545 | 22.73913 | 76 | py |
degree2 | degree2-master/vector_valued_impl/sym4/even_structure.py | '''
This module provides functions gen_consts and ignored_dct.
cf. Ibukiyama, Vector valued Siegel modular forms of symmetric tensor weight
of small degrees.
'''
from degree2.const import ScalarModFormConst as SMFC
from degree2.const import ConstVectValued
def cvv(w1, w2, inc=0):
return ConstVectValued(4, [SMFC(... | 517 | 22.545455 | 76 | py |
degree2 | degree2-master/vector_valued_impl/sym4/__init__.py | 0 | 0 | 0 | py | |
degree2 | degree2-master/vector_valued_impl/sym10/relation.py | '''
This module provides a function 'relation' that returns
a linear relation as a dictionary among generators.
'''
from sage.all import QQ, gcd
from degree2.vector_valued_smfs import vector_valued_siegel_modular_forms as vvsmf
def relation(wt, data_directory=None):
'''For a given weight wt, this funciton return... | 1,135 | 36.866667 | 82 | py |
degree2 | degree2-master/vector_valued_impl/sym10/odd_structure.py | # -*- coding: utf-8 -*-
'''This module provides functions gen_consts and ignored_dct.'''
from degree2.const import ScalarModFormConst as SMFC
from degree2.const import (CalculatorVectValued, ConstDivision,
ConstMul, ConstVectValued)
from sage.all import QQ, PolynomialRing
from degree2.vecto... | 6,057 | 31.223404 | 86 | py |
degree2 | degree2-master/vector_valued_impl/sym10/even_structure.py | # -*- coding: utf-8; mode: sage -*-
'''This modules provides functions gen_consts and ignored_dct.
'''
from sage.all import Integer, matrix
import os
from degree2.const import ScalarModFormConst as SMFC
from degree2.const import (CalculatorVectValued, ConstDivision,
ConstMul, ConstVectValued)... | 9,857 | 33.711268 | 74 | py |
degree2 | degree2-master/vector_valued_impl/sym10/__init__.py | 0 | 0 | 0 | py | |
degree2 | degree2-master/vector_valued_impl/sym10/tests/test_relation.py | '''Test relations among generators.
'''
import unittest
from degree2.vector_valued_impl.sym10.module_of_given_wt import relation, sym10_space
import os
from degree2.const import CalculatorVectValued
from degree2.vector_valued_impl.sym10.even_structure import gen_consts as even_gen_consts
from degree2.vector_valued_impl... | 1,342 | 40.96875 | 89 | py |
degree2 | degree2-master/vector_valued_impl/sym10/tests/test_division.py | '''
A module for testing generators of smaller weights.
'''
import unittest
from degree2.const import CalculatorVectValued
from degree2.vector_valued_impl.sym10.even_structure import _wt18_consts
from degree2.const import ConstVectValuedHeckeOp as CVH
from degree2.const import ConstDivision, ScalarModFormConst
from deg... | 7,508 | 32.977376 | 89 | py |
degree2 | degree2-master/vector_valued_impl/sym10/tests/test_ramanujan_conj.py | '''This module tests Ramanujan conjecture for eigenforms in M_{det^k Sym(10)}
for k <= 29 and tests Hecke polynomials of degree 4 for known lifts and
Eisenstein series.
'''
import os
from degree2.vector_valued_impl.sym10.module_of_given_wt import sym10_space
from sage.all import ComplexField, NumberField, PolynomialRin... | 4,232 | 39.701923 | 89 | py |
degree2 | degree2-master/vector_valued_impl/sym10/tests/__init__.py | 0 | 0 | 0 | py | |
degree2 | degree2-master/tests/test_interpolate.py | # -*- coding: utf-8 -*-
import unittest
from degree2.all import eisenstein_series_degree2, x35_with_prec
from degree2.interpolate import calc_forms, det_deg2
class TestInterpolate(unittest.TestCase):
def test_interpolate(self):
prec = 15
es4 = eisenstein_series_degree2(4, prec)
x35 = x35... | 1,297 | 36.085714 | 78 | py |
degree2 | degree2-master/tests/test_fc_mul_add.py | # -*- coding: utf-8 -*-
from degree2.scalar_valued_smfs import eisenstein_series_degree2, QexpLevel1,\
x10_with_prec, x12_with_prec, x35_with_prec, ModFormQexpLevel1
from degree2.basic_operation import PrecisionDeg2
import unittest
from sage.all import FiniteField, ZZ, QQ, PolynomialRing
import operator
global_pre... | 8,797 | 30.992727 | 78 | py |
degree2 | degree2-master/tests/test_eigenforms.py | # -*- coding: utf-8 -*-
import unittest
import operator
from sage.all import NumberField, QQ, var, Integer, ZZ, PolynomialRing
from degree2.scalar_valued_smfs import (
eisenstein_series_degree2, x10_with_prec,
x12_with_prec, x35_with_prec,
KlingenEisensteinAndCuspForms,
CuspFormsDegree2)
from .data_... | 6,618 | 33.473958 | 94 | py |
degree2 | degree2-master/tests/misc_test.py | # -*- coding: utf-8 -*-
import unittest
from unittest import skip
from degree2.basic_operation import (
PrecisionDeg2,
semi_pos_def_matarices, _spos_def_mats_lt)
from degree2.scalar_valued_smfs import (KlingenEisensteinAndCuspForms,
eisenstein_series_degree2,
... | 5,310 | 36.666667 | 98 | py |
degree2 | degree2-master/tests/data_dir.py | import os.path as opath
from sage.all import load
def data_dir(name):
return opath.join(opath.dirname(opath.abspath(__file__)), "data", name)
def load_from_data_dir(fname, dirname):
return load(opath.join(data_dir(dirname), fname))
| 244 | 21.272727 | 75 | py |
degree2 | degree2-master/tests/test_save_load.py | # -*- coding: utf-8 -*-
import unittest
from degree2.scalar_valued_smfs import eisenstein_series_degree2, x12_with_prec, x35_with_prec,\
ModFormQexpLevel1, QexpLevel1
import tempfile
from sage.all import FiniteField, ZZ
global_prec = 8
es4 = eisenstein_series_degree2(4, global_prec)
qsres4 = QexpLevel1(es4.fc_dct,... | 2,241 | 32.462687 | 96 | py |
degree2 | degree2-master/tests/test_prec_class.py | # -*- coding: utf-8 -*-
import unittest
from degree2.basic_operation import PrecisionDeg2, reduced_form_with_sign
class TestPrecClass(unittest.TestCase):
def test_eq(self):
l = [(n, r, m) for n, r, m in PrecisionDeg2(10) if n == 10 and m == 10]
self.assertTrue(PrecisionDeg2(10) == PrecisionDeg2(l... | 1,501 | 37.512821 | 87 | py |
degree2 | degree2-master/tests/test_divide.py | # -*- coding: utf-8 -*-
import unittest
# from unittest import skip
from degree2.scalar_valued_smfs import eisenstein_series_degree2, x10_with_prec
from degree2.rankin_cohen_diff import rankin_cohen_pair_sym
class TestDivide(unittest.TestCase):
def testdivide(self):
prec = 10
x10 = x10_with_prec... | 996 | 31.16129 | 79 | py |
degree2 | degree2-master/tests/test_const.py | '''A module for testing degree2.const.
'''
import unittest
from degree2.const import (ConstMul, ConstDivision, ConstVectValued,
dependencies, needed_precs, ConstVectValuedHeckeOp)
from degree2.all import degree2_modular_forms_ring_level1_gens
from degree2.scalar_valued_smfs import x10_with_p... | 4,115 | 36.761468 | 78 | py |
degree2 | degree2-master/tests/test_vector_valued.py | # -*- coding: utf-8 -*-
import os.path as opath
import unittest
# from unittest import skip
from sage.all import CuspForms, PolynomialRing, QQ, matrix, identity_matrix
from degree2.scalar_valued_smfs import (
eisenstein_series_degree2,
degree2_modular_forms_ring_level1_gens, x5__with_prec)
from degree2.elem... | 5,627 | 35.545455 | 78 | py |
degree2 | degree2-master/tests/__init__.py | 0 | 0 | 0 | py | |
degree2 | degree2-master/tests/test_pullback_se_vector_valued.py | # -*- coding: utf-8 -*-
import unittest
from degree2.diff_operator_pullback_vector_valued import (
bracket_power, ad_bracket, _Z_U_ring, _diff_z_exp,
fc_of_pullback_of_diff_eisen, _U_ring, sqcap_mul, D_tilde_nu,
algebraic_part_of_standard_l, _pullback_vector, _u3_u4_nonzero)
from sage.all import (random_mat... | 10,101 | 38.155039 | 99 | py |
degree2 | degree2-master/tests/test_all.py | import os
import re
# import imp
from os.path import dirname, isfile, join
pat = re.compile(".*test.+py$")
this_dir = dirname(__file__)
def test_module_names():
return [f for f in os.listdir(this_dir) if re.match(pat, f)
and isfile(join(this_dir, f)) and join(this_dir, f) != __file__]
from degree2.t... | 774 | 28.807692 | 76 | py |
degree2 | degree2-master/tests/test_gens.py | # -*- coding: utf-8 -*-
import unittest
from degree2.scalar_valued_smfs import eisenstein_series_degree2, x10_with_prec, x12_with_prec,\
x35_with_prec
from degree2.basic_operation import PrecisionDeg2
from .data_dir import load_from_data_dir
fc_dct4 = load_from_data_dir("es4_fc_dct.sobj", "eigen_forms")
fc_dct6 ... | 1,528 | 30.204082 | 96 | py |
degree2 | degree2-master/tests/test_pullback_se_scalar_valued.py | import unittest
from sage.all import random_prime, matrix, PolynomialRing, QQ, mul, vector
from degree2.all import CuspFormsDegree2
from degree2.standard_l_scalar_valued import (epsilon_tilde_l_k_degree2, tpl_to_half_int_mat,
first_elt_of_kern_of_vandermonde)
from degree2.b... | 1,824 | 40.477273 | 93 | py |
SAFE | SAFE-master/safe.py | # SAFE TEAM
# Copyright (C) 2019 Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Leonardo Querzoni, Roberto Baldoni
from asm_embedding.FunctionAnalyzerRadare import RadareFunctionAnalyzer
from argparse import ArgumentParser
from asm_embedding.FunctionNormalizer import FunctionNormalizer
from asm_embedding.... | 2,105 | 35.947368 | 114 | py |
SAFE | SAFE-master/downloader.py | # SAFE TEAM
# Copyright (C) 2019 Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Leonardo Querzoni, Roberto Baldoni
import argparse
import os
import sys
from subprocess import call
class Downloader:
def __init__(self):
parser = argparse.ArgumentParser(description='SAFE downloader')
p... | 5,027 | 46.885714 | 281 | py |
SAFE | SAFE-master/__init__.py | 0 | 0 | 0 | py | |
SAFE | SAFE-master/dataset_creation/DatabaseFactory.py | # SAFE TEAM
# Copyright (C) 2019 Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Leonardo Querzoni, Roberto Baldoni
from asm_embedding.InstructionsConverter import InstructionsConverter
from asm_embedding.FunctionAnalyzerRadare import RadareFunctionAnalyzer
import json
import multiprocessing
from multiproce... | 6,785 | 38.684211 | 118 | py |
SAFE | SAFE-master/dataset_creation/ExperimentUtil.py | # SAFE TEAM
# Copyright (C) 2019 Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Leonardo Querzoni, Roberto Baldoni
import argparse
from dataset_creation import DatabaseFactory, DataSplitter, FunctionsEmbedder
from utils.utils import print_safe
def debug_msg():
msg = "SAFE DATABASE UTILITY"
msg +=... | 5,282 | 47.916667 | 120 | py |
SAFE | SAFE-master/dataset_creation/DataSplitter.py | # SAFE TEAM
# Copyright (C) 2019 Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Leonardo Querzoni, Roberto Baldoni
import json
import random
import sqlite3
from tqdm import tqdm
class DataSplitter:
def __init__(self, db_name):
self.db_name = db_name
def create_pair_table(self, table_nam... | 5,467 | 37.237762 | 119 | py |
SAFE | SAFE-master/dataset_creation/__init__.py | 0 | 0 | 0 | py | |
SAFE | SAFE-master/dataset_creation/convertDB.py | # SAFE TEAM
# Copyright (C) 2019 Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Leonardo Querzoni, Roberto Baldoni
import sqlite3
import json
from networkx.readwrite import json_graph
import logging
from tqdm import tqdm
from asm_embedding.InstructionsConverter import InstructionsConverter
# Create the d... | 4,558 | 36.368852 | 134 | py |
SAFE | SAFE-master/dataset_creation/FunctionsEmbedder.py | # SAFE TEAM
# Copyright (C) 2019 Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Leonardo Querzoni, Roberto Baldoni
from asm_embedding.FunctionNormalizer import FunctionNormalizer
import json
from neural_network.SAFEEmbedder import SAFEEmbedder
import numpy as np
import sqlite3
from tqdm import tqdm
class... | 2,021 | 37.884615 | 118 | py |
SAFE | SAFE-master/neural_network/SAFE_model.py | # SAFE TEAM
# distributed under license: GPL 3 License http://www.gnu.org/licenses/
from SiameseSAFE import SiameseSelfAttentive
from PairFactory import PairFactory
import tensorflow as tf
import random
import sys, os
import numpy as np
from sklearn import metrics
import matplotlib
import tqdm
matplotlib.use('Agg')
i... | 13,262 | 43.959322 | 119 | py |
SAFE | SAFE-master/neural_network/SiameseSAFE.py | import tensorflow as tf
# SAFE TEAM
#
#
# distributed under license: CC BY-NC-SA 4.0 (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.txt)
#
# Siamese Self-Attentive Network for Binary Similarity:
#
# arXiv Nostro.
#
# based on the self attentive network:arXiv:1703.03130 Z. Lin at al. “A structured self-a... | 7,721 | 48.819355 | 155 | py |
SAFE | SAFE-master/neural_network/SAFEEmbedder.py | import tensorflow as tf
# SAFE TEAM
# distributed under license: GPL 3 License http://www.gnu.org/licenses/
class SAFEEmbedder:
def __init__(self, model_file):
self.model_file = model_file
self.session = None
self.x_1 = None
self.adj_1 = None
self.len_1 = None
self.... | 1,282 | 31.075 | 121 | py |
SAFE | SAFE-master/neural_network/parameters.py | # SAFE TEAM
# distributed under license: GPL 3 License http://www.gnu.org/licenses/
import argparse
import time
import sys, os
import logging
#
# Parameters File for the SAFE network.
#
# Authors: SAFE team
def getLogger(logfile):
logger = logging.getLogger(__name__)
hdlr = logging.FileHandler(logfile)
... | 5,285 | 37.867647 | 118 | py |
SAFE | SAFE-master/neural_network/__init__.py | 0 | 0 | 0 | py | |
SAFE | SAFE-master/neural_network/PairFactory.py | # SAFE TEAM
# distributed under license: GPL 3 License http://www.gnu.org/licenses/
import sqlite3
import json
import numpy as np
from multiprocessing import Queue
from multiprocessing import Process
from asm_embedding.FunctionNormalizer import FunctionNormalizer
#
# PairFactory class, used for training the SAFE net... | 6,350 | 32.962567 | 150 | py |
SAFE | SAFE-master/neural_network/train.py | from SAFE_model import modelSAFE
from parameters import Flags
import sys
import os
import numpy as np
from utils import utils
import traceback
def load_embedding_matrix(embedder_folder):
matrix_file='embedding_matrix.npy'
matrix_path=os.path.join(embedder_folder,matrix_file)
if os.path.isfile(matrix_path)... | 2,675 | 30.482353 | 103 | py |
SAFE | SAFE-master/utils/utils.py | from pyfiglet import figlet_format
def print_safe():
a = figlet_format('SAFE', font='starwars')
print(a)
print("By Massarelli L., Di Luna G. A., Petroni F., Querzoni L., Baldoni R.")
print("Please cite: http://arxiv.org/abs/1811.05296 \n") | 257 | 31.25 | 81 | py |
SAFE | SAFE-master/utils/__init__.py | 0 | 0 | 0 | py | |
SAFE | SAFE-master/function_search/FunctionSearchEngine.py | # SAFE TEAM
# Copyright (C) 2019 Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Leonardo Querzoni, Roberto Baldoni
import sys
import numpy as np
import sqlite3
import pandas as pd
import tqdm
import tensorflow as tf
if sys.version_info >= (3, 0):
from functools import reduce
pd.set_option('display.m... | 5,075 | 34.25 | 137 | py |
SAFE | SAFE-master/function_search/fromJsonSearchToPlot.py | # SAFE TEAM
# Copyright (C) 2019 Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Leonardo Querzoni, Roberto Baldoni
import matplotlib.pyplot as plt
import json
import math
import numpy as np
from multiprocessing import Pool
def find_dcg(element_list):
dcg_score = 0.0
for j, sim in enumerate(elemen... | 3,260 | 25.088 | 114 | py |
SAFE | SAFE-master/function_search/EvaluateSearchEngine.py | # SAFE TEAM
# Copyright (C) 2019 Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Leonardo Querzoni, Roberto Baldoni
from FunctionSearchEngine import FunctionSearchEngine
from sklearn import metrics
import sqlite3
from multiprocessing import Process
import math
import warnings
import random
import json
c... | 4,821 | 35.255639 | 139 | py |
SAFE | SAFE-master/function_search/__init__.py | 0 | 0 | 0 | py | |
SAFE | SAFE-master/asm_embedding/FunctionNormalizer.py | # SAFE TEAM
# Copyright (C) 2019 Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Leonardo Querzoni, Roberto Baldoni
import numpy as np
class FunctionNormalizer:
def __init__(self, max_instruction):
self.max_instructions = max_instruction
def normalize(self, f):
f = np.asarray(f[0... | 1,121 | 29.324324 | 114 | py |
SAFE | SAFE-master/asm_embedding/DocumentManipulation.py | import json
import re
import os
def list_to_str(li):
i=''
for x in li:
i=i+' '+x
i=i+' endfun'*5
return i
def document_append(strin):
with open('/Users/giuseppe/docuent_X86','a') as f:
f.write(strin)
ciro=set()
cantina=[]
num_total=0
num_filtered=0
with open('/Users/giuseppe/dump.... | 869 | 22.513514 | 54 | py |
SAFE | SAFE-master/asm_embedding/__init__.py | 0 | 0 | 0 | py | |
SAFE | SAFE-master/asm_embedding/FunctionAnalyzerRadare.py | # SAFE TEAM
# Copyright (C) 2019 Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Leonardo Querzoni, Roberto Baldoni
import json
import r2pipe
class RadareFunctionAnalyzer:
def __init__(self, filename, use_symbol, depth):
self.r2 = r2pipe.open(filename, flags=['-2'])
self.filename = fi... | 5,885 | 29.030612 | 117 | py |
SAFE | SAFE-master/asm_embedding/InstructionsConverter.py | # SAFE TEAM
# Copyright (C) 2019 Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Leonardo Querzoni, Roberto Baldoni
import json
class InstructionsConverter:
def __init__(self, json_i2id):
f = open(json_i2id, 'r')
self.i2id = json.load(f)
f.close()
def convert_to_ids(self,... | 1,118 | 32.909091 | 114 | py |
CaBERT-SLU | CaBERT-SLU-main/baseline_midsf.py | """For model training and inference
Data input should be a single sentence.
"""
import random
import torch
import torch.nn as nn
from torch.autograd import Variable
from torch.optim import Adam, RMSprop
from transformers import BertTokenizer, BertModel, BertConfig
from keras.preprocessing.sequence import pad_sequences... | 16,880 | 36.182819 | 138 | py |
CaBERT-SLU | CaBERT-SLU-main/all_data_context.py | import torch as t
from torch.utils.data import Dataset, DataLoader
import pickle
from config import opt
from sklearn.model_selection import train_test_split
import numpy as np
from keras.preprocessing.sequence import pad_sequences
class Turns:
def __init__(self, token_ids, slot_ids):
token_ids, mask = self... | 4,711 | 34.164179 | 113 | py |
CaBERT-SLU | CaBERT-SLU-main/all_data_slot.py | import torch as t
from torch.utils.data import Dataset, DataLoader
import pickle
from config import opt
from sklearn.model_selection import train_test_split
from keras.preprocessing.sequence import pad_sequences
import numpy as np
class CoreDataset(Dataset):
def __init__(self, data, num_labels, num_slot_labels, o... | 1,819 | 29.847458 | 100 | py |
CaBERT-SLU | CaBERT-SLU-main/utils.py | import random
import torch
import torch.nn as nn
from torch.autograd import Variable
from torch.optim import Adam, RMSprop
from transformers import BertTokenizer, BertModel, BertConfig, AdamW
from keras.preprocessing.sequence import pad_sequences
from sklearn.model_selection import train_test_split
import pickle
impor... | 6,421 | 34.877095 | 115 | py |
CaBERT-SLU | CaBERT-SLU-main/config.py | class Config:
#################### For BERT fine-tuning ####################
# control
datatype = "e2e"
retrain = False # Reuse trained model weights
test_mode = "data" # "validation", "data"
data_mode = "multi" #"single" # single or multi intent in data
###########... | 1,463 | 39.666667 | 122 | py |
CaBERT-SLU | CaBERT-SLU-main/bert_context.py | """For model training and inference (multi dialogue act & slot detection)
"""
import random
import torch
import torch.nn as nn
from torch.autograd import Variable
from torch.optim import Adam, RMSprop
from transformers import BertTokenizer, BertModel, BertConfig, AdamW
from keras.preprocessing.sequence import pad_sequ... | 15,293 | 36.211679 | 192 | py |
CaBERT-SLU | CaBERT-SLU-main/__MACOSX/CaBERT-SLU-main/._config.py |