text string |
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#!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import sympy
import matplotlib.pyplot as plt
from scipy import integrate
from scipy.special import legendre
from numpy.polynomial.legendre import Legendre
import matplotlib.ticker as mtick
import itertools
# Legendre polynomial
def leg(n, x):
r... |
<reponame>robertokcanale/Tests_grayscale<filename>Scripts/use_handsnet.py
import os
import numpy as np
import tensorflow as tf
from sympy import print_ccode
from tensorflow import keras
#LIMITING THE GPU, i need this or it blows away
gpus = tf.config.experimental.list_physical_devices('GPU')
if gpus:
# Restrict Te... |
<gh_stars>0
import pandas as pd
import sys
from sklearn.naive_bayes import MultinomialNB
from scipy.stats import f_oneway
from mlxtend.evaluate import cochrans_q
from mlxtend.evaluate import mcnemar
from mlxtend.evaluate import mcnemar_table
import classifier_tool as tool
if __name__ == "__main__":
f_in = sys.a... |
#!/usr/bin/env pythonw
# -*- coding: utf-8 -*-
import wx
import sys
import os
import scipy
from scipy import *
# need to set matplotlib backend to WXAgg or else the program just hangs
import matplotlib
matplotlib.use('WXAgg')
from pmagpy import pmag
from pmagpy import convert_2_magic as convert
from pmagpy import contr... |
<reponame>MickaelRigault/pysedm<gh_stars>1-10
#! /usr/bin/env python
# -*- coding: utf-8 -*-
""" This modules is made to find and handle the position on the spectral traces on the CCDs. """
import warnings
import numpy as np
import matplotlib.pyplot as mpl
from scipy import sparse
from astropy.utils.console import Pr... |
#!/usr/bin/env python3
# vim: set noexpandtab tabstop=2 shiftwidth=2 softtabstop=-1 fileencoding=utf-8:
__version__ = "0.0.3.2"
import os
import sys
import argparse
import yaml
import subprocess
def runcmd(cmd, log=subprocess.PIPE, echo=False):
if echo:
print('Running: ' + cmd)
try:
cp=subprocess.run('bash -c ... |
'''
------------------------------------
Assignment 10 - EE2703 (Jan-May 2020)
Done by <NAME> (EE18B122)
Created on 02/05/20
Last Modified on 02/05/20
------------------------------------
'''
# Imports
import csv
import numpy as np
import numpy.fft as fft
import matplotlib.pyplot as plt
import scipy.signal as sgnl
# ... |
import unittest
import numpy as np
import sympy
from sympy import symbols, Matrix, Eq, sqrt, FiniteSet, Derivative
from scipy.optimize import root
from scipy.stats import poisson, entropy
from epipack import (
SymbolicEpiModel,
SymbolicODEModel,
SymbolicSISModel,
Symbo... |
<filename>plot_result.py
import numpy as np
import argparse
import matplotlib.pyplot as plt
import copy
import scipy.io as sio
if __name__ == '__main__':
trial = 50
K = 20
N = 1
SNR = 100
B = 0
E = 1
lr = 0.05
PL = 3.0
P_r = 0.1
iid = 1
noniid_level = 2
loc = 50
kap... |
<reponame>kanderso-nrel/pvOps<gh_stars>0
from scipy.interpolate import interp1d
from sklearn.utils import resample
from sklearn.metrics import classification_report, confusion_matrix
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split, StratifiedKFold
from sklearn.preprocessi... |
from scipy.integrate import odeint
import operator
import inspect
import numpy as np
class ODEPetri:
def __init__(self):
self.stateVariables = []
self.stateVariableNames = {}
self.dSdT = []
def add_StateVariable(self, theName, theInitial):
if (theName in self.stateVariableNames... |
"""
Functions for creating a document-term matrix (DTM) and some compatibility functions for Gensim.
"""
import numpy as np
from scipy.sparse import coo_matrix, issparse
from .._pd_dt_compat import USE_DT
#%% DTM creation
def create_sparse_dtm(vocab, docs, n_unique_tokens, vocab_is_sorted=False, dtype=np.intc):
... |
<filename>scripts/Figure_plotter/bckgrd_subtract_redefine_paper_figure.py<gh_stars>0
"""
Created on Feb 8, 2017
@author: fangren
"""
import os.path
import matplotlib.pyplot as plt
import numpy as np
from scipy.optimize import basinhopping
from scipy.interpolate import interp1d
from numpy.polynomial.chebyshev import c... |
'''
@author: <NAME>
@copyright: Copyright 2016-2019, <NAME>.
@license: MIT
@contact: <EMAIL>
'''
from __future__ import division
import numpy as np
from numpy.fft import rfft
from numpy import argmax, mean, diff, log
from scipy.signal import blackmanharris
from scipy.fftpack import fft
from scipy.signal... |
import numpy as np
import scipy.sparse as sp
def unique_songs(file):
""" This function returns a set of unique user
- param:
file : training file
"""
s = set()
with open(file, "r") as f:
for line in f:
_, song, _ = line.strip().split('\t')
if song not in s:... |
# -*- coding: utf-8 -*-
import tensorflow as tf
import numpy as np
import scipy.misc
import time
import os
import glob
import cv2
reader = tf.train.NewCheckpointReader("./checkpoint/CGAN_120/CGAN.model-9")
def imread(path, is_grayscale=True):
"""
Read image using its path.
Default value is gray-scale, and imag... |
<reponame>MRN-Code/coinstac_gica
'''
Independent Component Analysis (ICA):
This script computes ICA using the INFOMAX criteria.
The preprocessing steps include demeaning and whitening.
'''
import numpy as np
from numpy import dot
from numpy.linalg import matrix_rank, inv
from numpy.random import permutation
from scipy.... |
<gh_stars>0
import jax.numpy as jnp
import jax
from jax.scipy.fft import dctn as jax_dctn
from jax.numpy.fft import ifftn as jax_ifftn
from scipy.fftpack import dctn as scp_dctn, idctn as scp_idctn, ifftn as scp_ifftn
import cvgutils.Image as cvgim
fn = '/home/mohammad/Projects/optimizer/DifferentiableSolver/testImage... |
<reponame>OliverBamford/msc-proj
from ern_functions import *
from fenics import *
import numpy as np
import sympy as sym
from matplotlib import rc
import matplotlib.pylab as plt
rc('font', **{'family': 'serif', 'serif': ['Computer Modern']})
rc('text', usetex=True)
## MODEL PROBLEM 1 ###
mesh = UnitSquareMesh(... |
'''
手动解码flv文件
用pvav frame推送保存！
比之前自己写的bitarray解码要精简，单文件完成解码
pts
开始后20秒大致
pyav解码播放：
pts=17290
手工解码timestamp
timestamp 4422400 /1000= pts=4422
不对
4422400/17290 = 255.77
20秒附近 手工
模拟玩家开始录像
timestamp 4426240
timestamp 4426240 CompoistionTime=0
直播中
pts 17290.0
解码结果 h264 [<av.VideoFrame #258, pts=17290 yuv420p 384x... |
<gh_stars>1-10
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jul 14 12:10:33 2020
@author: <NAME>, Cambridge University, <EMAIL>
"""
import numpy as np
import os
import os.path
from scipy.stats import beta
import numpy.matlib as npm
from scipy import interpolate
def KLDiv(P,Q):
# dist = KLDi... |
#!/usr/bin/env python
# coding: utf-8
# # 02__pairwise_alignment
#
# in this notebook, i determine the pairwise seq alignment scores between non-conserved TSS regions vs. closest TSS
# In[1]:
import warnings
warnings.filterwarnings('ignore')
import pandas as pd
import math
import matplotlib.pyplot as plt
import n... |
<gh_stars>0
import sys
input = sys.stdin.readline
n, m = [int(i) for i in input().split()]
a = [int(i) for i in input().split()]
num = [0] * n
count = None
for i, v in enumerate(a):
num[i] = v // 2
_v = num[i]
_count = 0
while True:
if _v % 2 == 0:
_v = _v // 2
_count... |
<filename>climvis/graphics.py
import matplotlib.pyplot as plt
from climvis import core
from scipy.stats import linregress
def plot_annual_cycle(df, filepath=None):
z = df.grid_point_elevation
df = df.loc['1981':'2010']
df = df.groupby(df.index.month).mean()
df.index = list('JFMAMJJASOND')
f, ax... |
<reponame>edawson/parliament2
# Authors: <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
# License: BSD 3 clause
import numpy as np
from scipy import interpolate
from .base import BaseEstimator, TransformerMixin, RegressorMixin
from .utils import as_float_array, check_arrays
from ._isotonic im... |
<filename>scqtl/simple.py<gh_stars>1-10
import numpy as np
import scipy.optimize as so
import scipy.special as sp
import scipy.stats as st
def check_args(x, size):
n = x.shape[0]
if x.shape != (n,):
raise ValueError
size = np.array(size)
if size.shape != () and size.shape != x.shape:
raise ValueError
... |
<reponame>Krittisak/ShapeDeepLearning
import numpy as np
import math
import random
import scipy.misc
from numpy.polynomial import Polynomial as P
from numpy.polynomial.polynomial import polyval2d as p2d
from scipy.linalg import qr
from scipy.stats import ortho_group
try:
from poly import applyfixedpolynomial
except... |
from __future__ import absolute_import
# import scipy.io as sio
import os
import matplotlib.pyplot as plt
###########################################
# ML and AI Procedures for FTIR/Raman Spectroscopy
#
#
#
###########################################
import numpy as np
# python 2.7 from sklearn.cross_validation impo... |
from typing import List
from math import sin,cos
from scipy.stats import gmean, hmean
from scipy.fft import fftn
from numpy.linalg import norm
from numpy import (
ndarray, concatenate, argmax, array,
zeros, mean, sum, pad
)
import numpy
from ffast.poincare.token import Token
from ffast.poincare.utils import P... |
<gh_stars>1-10
import keras
import numpy as np
from keras import backend as K
from keras.callbacks import ModelCheckpoint
from keras.datasets import mnist
from keras.layers import Conv2D, MaxPooling2D
from keras.layers import Dense, Dropout, Flatten, Activation
from keras.models import Sequential
from scipy.special imp... |
<reponame>leonheld/INE5118<gh_stars>0
from scipy.stats import binom
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
n, p = 5, 0.4
data_binom = binom.rvs(n=20, p=0.8, loc=0, size=100000)
sns.distplot(data_binom, kde = False)
plt.show() |
#!/usr/bin/env python
# --------------------------------------------------------
# Faster R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by <NAME>
# --------------------------------------------------------
"""
Demo script showing detections in sample images.
... |
<reponame>YashengFu/exo-200_scripts<filename>ml-scripts/shapement_.py
import pandas as pd
import numpy as np
import random
#import nestpy
import argparse
import time
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
from scipy.optimize import curve_fit
random.seed(0)
def concat... |
<reponame>NULLCT/LOMC<filename>src/data/943.py<gh_stars>0
#import sys
#import numpy as np
import math
#from fractions import Fraction
import itertools
from collections import deque
from collections import Counter
import heapq
from fractions import gcd
#input=sys.stdin.readline
#import bisect
n, q = map(int, input().sp... |
# Some helpful functions for Krylov methods
# <NAME>, Texas Tech.
# This code is in the public domain.
import time
import numpy as np
import scipy.sparse as sp
# A simple timer class
class MyTimer:
def __init__(self, name):
self.name = name
self.start = time.time()
def stop(self):
se... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
file: LaguerreGauss3d.py
brief: Python configuration input file for the FDTD solver Meep simulating the
scattering of a polarised Laguerre-Gaussian beam at a planar dielectric
interface (3d)
author: <NAME>
version: 1.4.2
release date: 27.02.2020... |
import torch
import torchio as tio
from torch.utils.data import DataLoader
from time import time
import pathlib
import numpy as np
import os
from scipy.ndimage import find_objects
import pytorch_lightning as pl
from models import APetNet
from fileio import read_nifty
#------------------------------------------------... |
<reponame>NumericalEnvironmental/A_Prototype_Lake_Package_for_Solute_Transport_Modeling_with_PHAST<filename>PhastLake.py
####################################################
#
# PhastLake.py - a lake boundary condition package
# for the USGS's PHAST reactive transport model
#
######################################... |
from scipy import misc
from math import floor, sqrt, sin, cos, pi, ceil
import numpy as np
import tsp
from tree import Tree, TreeSegmention
from pyChristofides import christofides
from collections import deque
class sceneGraph:
def __init__(self, config_file, comm_radius, client_pos, offset=(0, 0)):
self.... |
<gh_stars>0
import matplotlib.pyplot as plt
from scipy.special import gamma
import numpy as np
# Plots Histogram along side acutal distribution
def plotHistogram(sample, a1, a2, N):
hist, bins, _ = plt.hist(sample, density=True, bins=100)
xAxis = (bins[1:]+bins[:-1])/2
yAxis = []
for x in xAxis:
yAxis.append(fx... |
# Formalizing flowline selection algorithm for Greenland glaciers
# Adding functionality to find widths
# 16 March 2018 EHU
## Edits 20 Sept 2018: adding automated identification of centerline
from netCDF4 import Dataset
import numpy as np
import matplotlib.pyplot as plt
import csv
import shapely.geometry as geom
fro... |
import tensorflow as tf
import tensorflow_hub as hub
from scipy.spatial import distance
from sklearn.metrics.pairwise import cosine_similarity
import numpy as np
import math
def s2v(text, embed):
with tf.Session() as session:
session.run([tf.global_variables_initializer(), tf.tables_initializer()])
... |
# -*- coding: utf-8 -*-
"""
Created on Fri Jul 10 11:23:44 2020
@author: SNC6SI: <NAME> <<EMAIL>>
"""
import os
import re
import numpy as np
from .dbcparser import dbc2code
from .blfc import read_info, read_data
# import matlab.engine
class blfload():
def __init__(self, dbc=None, blf=None, signals=None):
... |
<gh_stars>0
# -*- coding: utf-8 -*-
"""projectcode.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1rrIdi-hMsLCm7nahb419JX9JPZ36lpeX
### Libraries
"""
import pandas as pd
import numpy as np
from scipy.stats import ttest_ind
import matplotlib.pyp... |
<reponame>HDI-Project/fhub_core
import numbers
from typing import Tuple
import numpy as np
import scipy.stats
from scipy.special import digamma, gamma
from sklearn.neighbors import NearestNeighbors
from sklearn.utils import check_consistent_length
from ballet.util import asarray2d, nonnegative
from ballet.util.log im... |
<filename>pvpy/PowerSpectrum.py
# coding=utf-8
from copy import deepcopy
import numpy as np
from scipy import interpolate, integrate, constants
from os import path
# Solar Solid angular diameter from earth surface is 1919 arcseconds = 0.009303575 radians
# Source: http://nssdc.gsfc.nasa.gov/planetary/factsheet/sunfact... |
from requests import get, exceptions
from bs4 import BeautifulSoup
from datetime import datetime
from termcolor import colored
from yaml import safe_dump
from random import uniform
from time import sleep, time
from statistics import median
def save_data(data, file_path, open_mode, timestamp=False):
try:
i... |
import sympy as sp
from sympy.matrices.expressions.matadd import MatAdd
'''
实现Laplace展开的模块
有矩阵的表达式，请用MatAdd,MatMul实现加和乘
'''
def lap_expand(matrix, n: int = 0, coe = 1, axis: int = 0):
#axis 0表示按行展开，否则按列展开
expr = _lap_expr_0(matrix, n, coe) if axis == 0 else _lap_expr_1(matrix, n, coe)
return expr
def ... |
<reponame>ross-fisher/Post-Here-Reddit-Ranker
import src.prawapi as prawapi
from src.util import *
import praw
import pandas as pd
from flask import Flask, request, json
from sqlalchemy import create_engine
from flask_jsonpify import jsonify
from decouple import config
from scipy.sparse import bsr_matrix
from joblib im... |
<gh_stars>0
"""
A script for computing g_corr factor from simulation bandpowers.
"""
import os
import glob
import numpy as np
import scipy.optimize as opt
import argparse as ap
from configparser import ConfigParser
import xfaster as xf
from xfaster import parse_tools as pt
P = ap.ArgumentParser()
P.add_argument("--gco... |
#!/usr/bin/python
'''
This script is an implementation for tanglegram for the KEGG-decoder.py
versions after V.0.8
Runs tanglegram on two DataFrames - one generated from clustered KEGG
metabolisms & one phylogenetic newick file provided by the user
Added by <NAME> : <EMAIL>
'''
def make_tanglegram(genome_df, newick, ... |
import sys
import os
import numpy as np
from scipy import stats
import json
import matplotlib.pyplot as plt
from matplotlib import rc
import collections
rc('text', usetex=True)
plt.rcParams["font.family"] = "Times New Roman"
current_path = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.join(curren... |
# -*- coding: utf-8 -*-
# cython: profile=False
"""
Created on Fri Nov 4 13:05:59 2011
@author: <NAME>
TODO:
Look into using e.g. sp.linalg.fblas.zgemm._cpointer from cython? Or
link it to blas at compile time using distutils...
"""
import scipy as sp
import scipy.linalg as la
#import scipy.sparse as spa
c... |
<reponame>Song-Jingyu/Carla-Roadside-Dataset-Generator
## Maintainer: <NAME> #####
## Contact: <EMAIL> #####
from numpy.lib.function_base import append
from scipy.optimize.nonlin import Jacobian
# import torch
import os
import cv2
import numpy as np
from sort import *
from scipy.optimize import least_squares
import s... |
# -*- coding: utf-8 -*-
import click
import itertools
import random
import re
import cPickle as pickle
import numpy as np
from collections import Counter
from keras.preprocessing.sequence import pad_sequences
from scipy.sparse import lil_matrix
from sklearn.utils.class_weight import compute_class_weight
from utils.to... |
<reponame>luyang93/scripts
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @File : LA.py
# @Date : 18-9-14
# @Author : luyang(<EMAIL>)
import sys
import os
import argparse
from itertools import product
from math import ceil
import numpy as np
from scipy.stats import chi2_contingency
import xlsxwriter
def pars... |
from scipy.signal import filtfilt, butter
def butterworth(x, order, freq=0.05):
b, a = butter(order, freq)
return filtfilt(b, a, x)
|
#!/usr/bin/env python3
'''
Tranformer GeoTiff DEM file to STL format
'''
import argparse
import numpy as np
from osgeo import gdal
from stltools import stlgenerator
import scipy as sp
import scipy.ndimage as scimage
import click
CMAX = np.inf
CMIN = -np.inf
ALLOWED_TYPES = {gdal.GDT_Byte,gdal.GDT_Int16,gdal.GDT_Int3... |
# Problem: https://projecteuler.net/problem=581
"""
Basically find all pairs of (n, n+1) such that both n and n+1 are 47-smooth.
"""
import sympy
from sympy.solvers.diophantine.diophantine import diop_DN
primes = [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47]
def is_47_smooth(n):
for prime in prim... |
<filename>pyllars/validation_utils.py<gh_stars>1-10
"""
This module contains helpers for typical validation routines.
"""
import logging
logger = logging.getLogger(__name__)
import pyllars.utils as utils
import collections
import importlib
import numpy as np
import operator
import scipy.sparse
import sklearn
import ... |
<gh_stars>0
import networkx as nx
import igraph as ig
import numpy as np
import glob
import re
from pathlib import Path
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import gridspec
import seaborn as sns;
sns.set_style('white')
import sys; sys.path.extend(['../', '../../', ])
from VRG.src.genera... |
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import gridspec
from scipy.spatial.distance import pdist, squareform
from csb.bio.utils import rmsd, radius_of_gyration as rog
from ensemble_hic.analysis_functions import load_sr_samples
def calculate_rgs(X):
tad1 = X[:,:,:107]
tad2 = X[:... |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 8 09:12:38 2020
@author: marianne
"""
import numpy as np
import os
from tqdm import tqdm
import matplotlib.pyplot as plt
from PIL import Image
from scipy import interpolate
import cv2
from autolabel.transformation_utilities import transform_xyz_po... |
from scipy.io.wavfile import write
import librosa
import numpy as np
def make_sr16(wav_file):
sr = 16000
max_wav_value=32768.0
trim_fft_size = 1024
trim_hop_size = 256
trim_top_db = 23
silence_audio_size = trim_hop_size * 3
wav_file = 'another_audio/nem00397.wav'
data, sampling_rate =... |
<filename>examples/plot_generalized_cross_validation.py
#! /usr/bin/env python
# SPDX-FileCopyrightText: Copyright 2021, <NAME> <<EMAIL>>
# SPDX-License-Identifier: BSD-3-Clause
# SPDX-FileType: SOURCE
#
# This program is free software: you can redistribute it and/or modify it
# under the terms of the license found in... |
import csv
import numpy as np
from statistics import mean
# inicializa os vetores/matrizes
x = [[] for i in range(3)] #Inicializa a Matriz X com 3 colunas
theta = np.random.rand(3) #Vetor Theta com valores aleatórios entre 0 e 1
y = [] #Vetor Y com o tamanho dos peixes
l_cost=[] #Lista com o custo ap... |
<filename>neural_deprojection/models/Simple_complete_model_GCD/visualize_3d.py<gh_stars>0
import sys
sys.path.insert(1, '/data/s2675544/git/neural_deprojection/')
sys.path.insert(1, '/home/matthijs/git/neural_deprojection/')
import os
import tensorflow as tf
import glob
from neural_deprojection.models.Simple_complete... |
<reponame>Dovermore/vae-audio<filename>trainer/trainer.py
import numpy as np
import torch
from torchvision.utils import make_grid
from base import BaseTrainer
from os import path
from librosa.feature import inverse
from librosa import core
from scipy.io import wavfile
class SpecVaeTrainer(BaseTrainer):
"""
Tr... |
<gh_stars>0
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import glob
import re
import sys
import urllib
import tarfile
import zipfile
from collections import defaultdict
import os.path as osp
from scipy.io import loadmat
import pdb
import numpy ... |
# -*- coding: utf-8 -*-
"""
Created on 28 Aug 28 2021
@author: <NAME>
"""
import copy as _copy
import matplotlib as mpl
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable as _mal
import numpy as _np
import pandas as _pd
import scipy.stats as _sst
from . import stat_error_measure... |
<gh_stars>100-1000
"""
based on https://github.com/supikiti/PNCC/blob/master/pncc.py
"""
import scipy
import numpy as np
from ..utils.spectral import stft, powspec
from ..utils.preprocessing import pre_emphasis
from ..utils.cepstral import cms, cmvn, lifter_ceps
from ..utils.exceptions import ParameterError, ErrorMsgs
... |
<gh_stars>1-10
from __future__ import division
from __future__ import print_function
import time
import tensorflow as tf
from gcn.utils import *
from scipy import sparse
from gcn.models import GCN, MLP
# Set random seed
# seed = 3
# np.random.seed(seed)
# tf.set_random_seed(seed)
# Settings
flags = tf.app.flags
FLA... |
import os,sys
import numpy as np
from scipy import signal
from pandas import DataFrame
import sympy
def createPairs(n):
pairs=np.zeros((n*n,2),dtype=int)
c=0
for i in range(n):
for j in range(n):
pairs[c,0]=i
pairs[c,1]=j
c+=1
return pairs
coeffs=np.loadtxt... |
<filename>SimPEG/electromagnetics/natural_source/receivers.py
""" Module RxNSEM.py
Receivers for the NSEM problem
"""
from ...utils.code_utils import deprecate_class
import numpy as np
from scipy.constants import mu_0
import properties
from ...survey import BaseRx
def _alpha(src):
return 1 / (2 * np.pi * mu_0... |
from __future__ import division, print_function, absolute_import
import numpy as np
from scipy.optimize import fsolve, root
from .multiflash import multiflash
from .equilibriumresult import EquilibriumResult
from warnings import warn
def haz_objb(inc, T_P, type, model, index, equilibrium):
X0 = inc[:-1].reshape(... |
<gh_stars>0
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# cd /Volumes/Transcend/KibanDEM
# extract_bl.py bl_template.txt
import sys
import cv2
import numpy as np
from scipy import interpolate
import conv_util as ut
import kdem_util as kd
kd.fname1='FG-GML-'
kd.fname2='-dem10b-20161001.xml'
param=sys.argv
if len(p... |
# -*- coding: utf-8 -*-
"""This is a fast Python implementation of SLFN.
Created on Sun Sep 6 11:18:55 2015
@author: akusok
"""
import os
import platform
from .slfn import SLFN
import numpy as np
from scipy.linalg import blas, lapack
class SLFNPython(SLFN):
"""Single Layer Feed-forward Network (SLFN), the neu... |
import glob, re, html, nltk, os, heapq, argparse, sys, time, statistics, shutil
from w3lib.html import replace_entities
from collections import Counter
from collections import OrderedDict
from nltk.stem.porter import PorterStemmer
# global variable
size_limit = 1000
single_term_idx = Counter()
sti_fn = 0
sin... |
"""
Supplementary Figure 20
"""
"""This script is used to generate the plot from the previously trained HLA, TCR, TCR+HLA
models showing the certainty of the predictions for each sample for these models on the
CheckMate-038 clinical trial data. """
import numpy as np
from matplotlib import pyplot as plt
import seabo... |
<gh_stars>1-10
from cmath import exp, inf, pi
from hypothesis import strategies as st
JUST_FINITE = dict(allow_nan=False, allow_infinity=False)
BIG = 1e10
SMALL = 1e-9
def _real_number_(min_value=-BIG, max_value=BIG, **kwargs):
return st.floats(min_value, max_value, **JUST_FINITE, **kwargs)
_real_number = _r... |
<reponame>HPCCS/PARIS
import pdb
import csv
import numpy as np
from numpy import linalg as LA
from scipy import stats
import matplotlib.pyplot as plt
from sklearn import linear_model
from sklearn.kernel_ridge import KernelRidge
from sklearn.neural_network import MLPRegressor
from sklearn import preprocessing
from skle... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 20 17:58:55 2020
@author: aayush
"""
import pickle
import scipy.signal as sig
import pandas as pd
import unicodedata
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.gridspec as gridspec
import seaborn as sns
import pylab
impor... |
# -*- coding: utf-8 -*-
"""
Created on Sat Nov 11 21:57:16 2017
@author: cham
Aim: wrap astropy.table.Table as parsec class
"""
import numpy as np
from astropy.table import Table, vstack, Column
from scipy.interpolate import Rbf, LinearNDInterpolator
from tqdm import tqdm
from collections import OrderedDict
class... |
<reponame>lamanno-epfl/tomographer<filename>tutorials/data_loaders.py
import numpy as np
import pandas as pd
import h5py
import re
import os
import matplotlib
import matplotlib.pyplot as plt
from sklearn.neighbors import NearestNeighbors
from scipy.spatial.distance import pdist, squareform
from sklearn.cluster import ... |
"""
Programmer: <NAME>
Purpose: To develop a system for quick n' dirty genre classification
based on ideas and data from
[1]Tzanetakis, George, and <NAME>. "Musical genre classification of audio signals." IEEE Transactions on speech and audio processing 10.5 (2002): 293-302.
DISCLAIMER: The notion of "genre" as descri... |
from networkx.utils.decorators import random_state
import numpy as np
import time
from numpy.core.fromnumeric import size
import scipy.stats as stats
import os
import shutil
try:
from nextorch import plotting, bo, doe
except ImportError:
pass
import copy
from typing import Optional, Tuple, TypeVar
import ppri... |
<filename>all code (not organized)/wave maker.py
from Virtuoso_utils.utils import *
import os
import re
import time
import numpy as np
import midi
import sounddevice as sd
from scipy.signal import istft
from scipy.signal import stft
import librosa
import librosa.display
import skimage.transform
import h5py... |
import matplotlib.pyplot as plt
import numpy as np
from scipy.interpolate import interp1d
x_array = [2, 4, 8, 16, 20, 40]
y_array = [101.266, 58.3955, 45.395, 37.3023, 34.4435, 31.764]
plt.figure(figsize=(13.33,7.5))
plt.plot(x_array, y_array, 'ro', ms=5.0, label='Completion Time')
plt.legend(fontsize=13, loc=0)
pl... |
<reponame>certik/sympy-oldcore
from sympy.core import SingleValuedFunction, S, Basic, pi
###############################################################################
###################### HURWITZ GENERALIZED ZETA FUNCTION ######################
################################################################... |
<reponame>neural-reckoning/decoding_sound_location
'''
Shared imports, etc. modified from newlocalisation.
'''
from brian import *
from brian.hears import *
from brian.tools import datamanager
from brian.utils.progressreporting import *
import os, sys, time, multiprocessing, Tkinter, pickle, gc, glob, datetime
import ... |
# coding=UTF-8
#------------------------------------------------------------------------------
# Copyright (c) 2007-2016, Acoular Development Team.
#------------------------------------------------------------------------------
from setuptools import setup, Extension
from os.path import join, abspath, dirname
f... |
"""
Methods to analyze the lightcurve that is not related to FFT analysis
"""
import time
import os,sys
import numpy as np
from scipy.signal import find_peaks
#from astropy.convolution import convolve, Box1DKernel
DIR = os.path.abspath(os.path.dirname(__file__))
sys.path.insert(0, os.path.join(DIR, '../..'))
from s... |
# ----------------------------------
# CCF1d.py (SPARTA UNICOR class)
# ----------------------------------
# This file defines the "CCF1d" class. An object of this class stores
# a Spectrum object, saved in the self.spec field and a Template object
# stored in th... |
#!/usr/bin/env python
#encoding: utf-8
import numpy as np
import scipy.io as sio
import caffe
np.set_printoptions(threshold='nan')
MODEL_FILE = '/Users/lianshanchun/caffe/examples/imageFusion_Gold/train_val.prototxt'
PRETRAIN_FILE = '/Users/lianshanchun/caffe/examples/imageFusion_Gold/models/solver_iter_122000.caffemo... |
from cmath import pi
from datetime import datetime
from tkinter import Button, Frame, LabelFrame, StringVar, Tk, E, N, W
from tkinter.filedialog import askdirectory, asksaveasfilename
from tkinter.messagebox import askyesno, showinfo, showwarning
from tkinter.ttk import Combobox, Entry, Label
from generator import Gene... |
<reponame>bartolsthoorn/SOAPY<filename>soap.py
from ase.io import read
from ase.neighborlist import neighbor_list
import numpy as np
from numba import jit
from scipy.special import spherical_in, sph_harm
import argparse
from tqdm import tqdm
from multiprocessing import Pool
parser = argparse.ArgumentParser()
parser.ad... |
<gh_stars>0
import numpy as np
from scipy.linalg import sqrtm
from scipy.linalg import inv
from sklearn.cluster import KMeans
class SignedNetworkSpectralClustering:
def __init__(self, positive_weight_matrix, negative_weight_matrix, num_clusters):
self.positive_weight_matrix = positive_weight_matrix
... |
<filename>gedi/calc.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as _np
from scipy.linalg import cho_factor as _cho_factor
from scipy.linalg import cho_solve as _cho_solve
from gedi import kernels as _kernels
def build_matrix(kern, x, yerr):
"""
build_matrix() creates the covariance mat... |
import os
import sys
import xarray as xr
import pandas as pd
import scipy.io as sio
import numpy as np
import features.mds as mds
def make_TS_ds(sose_dir=os.path.join(os.environ.get('extdir'),'sose'),records=None):
'''Reads in SothernOceanStateEstimate Temperatures and Salinities and returns them in a Xarray data... |
<filename>mir3/lib/feature_selection.py
import numpy
import numpy.linalg
import scipy.stats
def minimum_variance(data, n_features=1):
"""Selects features that have minimum variance
"""
variances = numpy.maximum(0.001, numpy.apply_along_axis(numpy.var, 0, data))
mask = numpy.zeros(variances.shape)... |
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