text string |
|---|
# -*- coding: utf8 -*-
'''
demo/compOmpIsta.py
-------------------------------------------------- part of the fastmat demos
Author : wcw
Introduced :
------------------------------------------------------------------------------
Copyright 2016 <NAME>, <NAME>
https://www.tu-ilmenau.de/ems/
... |
from __future__ import print_function, division, absolute_import
import os
os.environ['ODIN'] = 'float32,gpu'
import pickle
from collections import OrderedDict, defaultdict
import numpy as np
from scipy.io import savemat
from scipy import stats
import tensorflow as tf
from sklearn.decomposition import PCA
from skle... |
from typing import Dict, List, Optional
from scipy.integrate import solve_ivp
from frispy.environment import Environment
from frispy.equations_of_motion import EOM
from frispy.model import Model
from frispy.trajectory import Trajectory
class Disc:
"""Flying spinning disc object. The disc object contains only ph... |
<reponame>ameldocena/StratifiedAggregation
from utilities import SelectionStrategy
import data_distribution as dd
import numpy as np
import random as rd
import statistics as stat
import math
from sklearn.cluster import KMeans, DBSCAN
class StratifiedRandomSampling(SelectionStrategy):
#PO1: We use an init
#PO2:... |
<reponame>josemiserra/CLEMSite_notebooks
# -*- coding: utf-8 -*-
"""
Created on Mon Aug 10 09:48:36 2015
@author: JMS
"""
from virtualGridMap import *
from abc import ABCMeta, abstractmethod
from scipy.spatial import distance
import ast
from skimage import transform as tf
from scipy.spatial import KDTree,distance
fro... |
import numpy as np
from sklearn.neighbors import NearestNeighbors
import scipy.sparse
from sklearn.metrics import silhouette_score
from sklearn.cluster import KMeans
from sklearn.metrics import normalized_mutual_info_score as NMI
from sklearn.metrics import adjusted_rand_score as ARI
from sklearn.linear_model import L... |
# -*- coding: utf-8 -*-
"""
Created on Thur June 18, 2015
Last modified: February, 2016
@author: pauliuk
"""
"""
# Script MaTrace_Global_ScenarioCompare.py
# Standalone script for cross-comparing scenarios for the global multiregional version of MaTrace model (Nakamura et al. 2014)
# Import required libr... |
<filename>data/get_visual_poses.py
import numpy as np
import cv2, PIL, os
from cv2 import aruco
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import matplotlib as mpl
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import pandas as pd
import time
from scipy import inter... |
<filename>photosom.py
import numpy as np
import altair as alt
import pandas as pd
from minisom import MiniSom
import scipy.stats as sps
from sklearn.ensemble import RandomForestClassifier
alt.data_transformers.disable_max_rows()
class ClassCond(object):
def __init__(self, classifier, bins):
"""This is the ... |
<reponame>sunilson/Neural-Network-Backpropagation<filename>tests/emnist_test.py
import sys
sys.path.insert(0, '../library/')
from neural_network import NeuralNetwork, TanhActivationFunction, SigmoidActivationFunction, ReluActivationFunction
import numpy
from matplotlib import pyplot as plt
import scipy.io as scipy
impo... |
<gh_stars>1-10
import tensorflow as tf
import demogen.data_util as data_util
import demogen.model_config as mc
import demogen.extract_layers_util as elu
import json
import os
import scipy.io
import numpy as np
root_dir = '../concept/data/demogen_models/'
data_dir = '../t2t_data/'
spec = os.path.join(root_dir, 'all_mo... |
# -*- coding: utf-8 -*-
"""
Created on Mon Feb 3 23:21:54 2020
@author: <EMAIL>
"""
import numpy as np
import scipy as sc
import sympy as sp
from sympy import I
from scipy.interpolate import CubicSpline
class butcher:
def __init__(self, order, decs):
# s = ... |
<reponame>obsmax/seispy
from scipy.signal import butter, lfilter
# ---- filter coefficients or frequency response
def butter_bandpass_coefficients(freqmin, freqmax, sampling_rate, order=4.):
"""
:param freqmin:
:param freqmax:
:param sampling_rate:
:param order:
:return:
"""
nyq = 0.5 ... |
import numpy as np
import pandas as pd
import os
import sys
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
import scipy
import json
from scipy.cluster import hierarchy
import seaborn as sns
from functools import reduce
import matplotlib.patches as patches
import warnings
# Create a nest... |
<filename>ocr_validation/ocrolib_edist.py<gh_stars>10-100
"""
Import from Ocrolib edist which is for python2
NOTE:
pylab is part of matplotlib
"""
from scipy.ndimage import filters
import re
class Edist3:
@staticmethod
def normed_levenshtein(a, b):
""" or nlevenshtein (with longest align... |
import pandas as pd
import numpy as np
from scipy.io.arff import loadarff
if __name__ == '__main__':
raw_data = loadarff('autism_adult_data.arff')
data = pd.DataFrame(raw_data[0])
for col in data.columns:
if col in ['age', 'result']: continue
try:
# Map from bytes to string... |
from functools import reduce
from math import exp, isclose, log, pi
from os import makedirs, path
import matplotlib.pyplot as plt
import numpy as np
from scipy import special
working_dir = path.dirname(path.abspath(__file__))
makedirs(path.join(working_dir, 'plots'), exist_ok=True)
try:
data = np.load(path.join(... |
<filename>experiments/simulation_experiments/hypothesis_testing/bayes_factors_roc.py
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import pandas as pd
import os
from scipy.stats import poisson
from scipy.special import logsumexp
from sklearn.metrics import roc_curve
from sklearn.metrics impor... |
# -*- coding: utf-8 -*-
"""
Created on 2021/12/10 20:27:50
@File -> entropy.py
@Author: luolei
@Email: <EMAIL>
@Describe: 数据信息熵和互信息计算
"""
from sklearn.neighbors import BallTree, KDTree
from scipy.special import digamma
from numpy import log
import numpy as np
import warnings
__doc__ = """
(补充参考文献)
"""
# ---... |
<filename>src/setisim/calib.py
from setisim import gaincal, table
import os
from pathlib import Path
import numpy as np
from os import path, makedirs
import matplotlib.pyplot as plt
def solint_p(vis,**kwargs):
params={'read':False}
params.update(kwargs)
tablefolder=f'tables/{Path(vis).stem}/'
if not pa... |
<reponame>tariks/peakachu<filename>peakachu/peakacluster.py
from collections import Counter
import numpy as np
from scipy.signal import find_peaks, peak_widths
from sklearn.cluster import dbscan
from scipy.spatial.distance import euclidean
def find_anchors(pos, min_count=3, min_dis=20000, wlen=800000, res=1000... |
<reponame>sunbelbd/PaddleEBM
import os
import numpy as np
import scipy.io
from .builder import DATASETS
from .base_dataset import BaseDataset
@DATASETS.register()
class VoxelDataSet(BaseDataset):
"""Import voxel from mat files.
"""
def __init__(self, dataroot, data_size=100000, resolution=64, mode="train"... |
<filename>components/isceobj/TopsProc/runIon.py
#
# Author: <NAME>
# Copyright 2018
# California Institute of Technology
#
import os
import shutil
import datetime
import numpy as np
import numpy.matlib
import isceobj
import logging
from isceobj.Constants import SPEED_OF_LIGHT
from isceobj.TopsProc.runBurstIfg import ... |
#!/usr/bin/env Python
# coding=utf-8
import codecs
import csv
import sys
import gensim
import nltk
import numpy as np
import pickle
from scipy.linalg import norm
from queue import PriorityQueue
import re
class Sen_Index(object):
def __init__(self, index, score):
self.index = index
self.score = sco... |
# -*- coding: utf-8 -*-
import os
import numpy as np
import SimpleITK as sitk
from random import random
from scipy.ndimage.interpolation import zoom,rotate
import copy
import itertools
def generate_permutation_keys():
return set(itertools.product(
itertools.combinations_with_replacement(rang... |
<filename>errorpro/core.py<gh_stars>0
import numpy as np
from sympy import S, Expr, latex, Function, Symbol
from errorpro.units import parse_unit
from errorpro.quantities import Quantity, get_value, get_error, get_dimension
from errorpro.dimensions.dimensions import Dimension
from errorpro import pytex
from IPython.d... |
import context
import numpy as np
import scipy as sp
import matplotlib.pyplot as plt
from functools import partial
from jax import grad, jit, vmap
from jax import lax
from jax import random
from jax import jvp
import jax
import jax.numpy as jnp
import time
import jax_ls
from jax import random
key = random.PRNGKey... |
import numpy as np
import scipy.interpolate as interp
import subprocess
from strain.models.strain_2d import Strain_2d
class wavelets(Strain_2d):
""" Wavelets (Tape) class for 2d strain rate, with general strain_2d behavior """
def __init__(self, params):
Strain_2d.__init__(self, params.inc, params.ran... |
"""
Plots Supplemental Figure 1 and 2: Size Distribution of Pathogenic and Non-Pathogenic Variants.
"""
import argparse
import pathlib
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import seaborn as sns
from scipy import stats
import numpy as np
from decimal import Decima... |
<gh_stars>1-10
import traceback
# Other libraries.
import pyart
import cftime
import numpy as np
from scipy.interpolate import griddata
def _transform_grid(r, azi, dbz):
# Sort reflectivity field such as dbz[0, :] corresponds to azimuth 0 degree.
pos = np.argsort(azi)
azi = azi[pos]
dbz = dbz[pos, :... |
<gh_stars>0
import igraph
import countries as COS
#import numpy as np
import matplotlib.pyplot as plt
import scipy.stats as stats
import pprint
import tabulate
import math
import random
countryDict = COS.countries()
contiguousBorders = COS.contiguousBorders(countryDict)
waterRoutes = COS.waterRoutes(countryDict)
coun... |
<gh_stars>1-10
"""
Computes a range of spherical harmonics using `sph_harm` of `scipy.special` and prints it
to the terminal as CSV.
"""
from math import pi
from scipy.special import sph_harm
def main():
"""
Computes a range of spherical harmonics for comparison
"""
num_phis = 10
num_thetas = 2 *... |
"""Kolmogorov-Smirnov test based Metric."""
import pandas as pd
from scipy.stats import ks_2samp
from sdmetrics.goal import Goal
from sdmetrics.single_column.base import SingleColumnMetric
class KSTest(SingleColumnMetric):
"""Kolmogorov-Smirnov test based metric.
This function uses the two-sample Kolmogoro... |
"""
Given a GW event name, gets the NRsur and LVC result and plots the samples on a corner.
"""
from __future__ import print_function
import argparse
import glob
import os
import re
from pprint import pprint
import numpy as np
import pandas as pd
from astropy import units
from astropy.cosmology import Planck15
from... |
#!/usr/bin/env python
import numpy as np
from scipy.interpolate import interp1d
def linear_resample(samples, out_len):
"""
Resamples samples to have length equal to out_len.
Uses a 1d linear interpolator
Args:
samples: samples to resample using an interpolator
out_len: Length of outp... |
<gh_stars>10-100
'''
Process the .json file generated by transfer_learning_cnn_cv.py.
It generates:
1. average training/validating accuracy over the 10 folds when picking
the epoch with the best MCC.
2. average training/validating MCC over the 10 folds when picking the epoch
... |
from __future__ import division
import numpy as np
import pandas as pd
from scipy.stats import norm
from scipy.signal import detrend
def sdt_mle(h, m, cr, fa):
"""Calculates maximum-likelihood estimates of sensitivity and bias.
Args:
h: Hits
m: Misses
cr: Correct Rejections.
... |
# Importing required libraries
import tkinter
from tkinter import *
from tkinter import Tk
from tkinter import Label
from tkinter import filedialog
from matplotlib import pyplot as plt
import numpy as np
import statistics as st
# Creating the class of the application
class Application(Tk):
# Defining the __i... |
<filename>6_google_trace/VMFuzzyPrediction/estimators/periodicity.py
# coding: utf-8
# In[1]:
from scipy import signal
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from io_utils.GFeeder import GFeeder
# In[9]:
dataFeeder = GFeeder(split_size=5)
raw_data = dataFeeder.read()
n_row = raw_da... |
<filename>internal_ui/viewer.py
# from PyInstaller import log as logging
# from PyInstaller import compat
# from os import listdir
# from os.path import join
#
# mkldir = join(compat.base_prefix, "Library", "bin")
# binaries = [(join(mkldir, mkl), '') for mkl in listdir(mkldir) if mkl.startswith('mkl_')]
import sys
sy... |
import numpy as np
from gym.spaces import Box
from scipy.spatial.transform import Rotation
from metaworld.envs import reward_utils
from metaworld.envs.asset_path_utils import full_v2_path_for
from metaworld.envs.mujoco.sawyer_xyz.sawyer_xyz_env import SawyerXYZEnv, _assert_task_is_set
class SawyerStickPushEnvV2(Sawy... |
'''
'''
import os
import logging
import time
import numpy as np
from scipy import ndimage
from numba import jit
from _jitfuncs.init_helpers import (
_rotate2azimuth,
_calc_horizon_indices,
_calc_horizon_slope,
)
#logger = logging.getLogger(__name__)
#logger.setLevel(logging.WARNING)
@jit(nopython=True)... |
<reponame>weightan/some-numerical-experiments
import numpy as np
import itertools
import math
from tqdm import tqdm
# import scipy
# import functools
# import operator
from sympy import primefactors, sieve
import random
from sympy import *
from itertools import combinations
from itertools import permutations
def to... |
from __future__ import print_function
import inspect
from math import pi, sqrt, factorial
import qutip
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import patches as mpatches
from matplotlib.gridspec import GridSpec
from os import path
from scipy.special import genlaguerre
from scipy.linalg import... |
# -*- coding: utf-8 -*-
"""
Created on Wed Jul 13 11:56:47 2016
@module: mixed_logit_calcs.py
@name: Mixed Logit Choice Calculations
@author: <NAME>
@summary: Contains generic functions necessary for calculating choice
probabilities and for estimating Mixed MNL models.
Current Assumptions (to... |
<gh_stars>0
import tqdm
import tqdm.auto
import random
import numpy as np
from joblib import Parallel, delayed
from multiprocessing import cpu_count
from fastdtw import fastdtw
from collections import Counter
from scipy.spatial.distance import euclidean
from sklearn.metrics import confusion_matrix
from ...internals imp... |
# Processing tools
#############
## Imports ##
#############
## General imports
import numpy as np
from scipy import interpolate
from skimage import morphology
import cv2 as cv
## Custom imports
from .mask import *
from .cluster import *
###############
## Constants ##
###############
#############
## Classes ##
#... |
"""
--- Day 24: Lobby Layout ---
https://adventofcode.com/2020/day/24
"""
from aocd import data
import re
from aoc_wim import zgrid
import numpy as np
from scipy.signal import convolve2d
pat = r"(se|sw|ne|nw|e|w)"
grid = zgrid.ZGrid(on=1, off=0)
for i, line in enumerate(data.splitlines()):
steps = re.findall(pat,... |
import numpy as np
import sklearn.metrics as metrics
from scipy.interpolate import splev
from scipy.interpolate import splrep
from scipy.optimize import minimize
from sklearn.base import BaseEstimator
from qpsolvers import solve_qp
from wtda.spline import MonotoneQuadraticSplineBasis
from wtda.wasserstein.distributio... |
# -*- coding: utf-8 -*-
"""
This module handles the identification and cleaning of noise in signals. A 'noisy' signal
is one that has spikes in it or sudden variations in a continuous looking
function. Most of these functions are built to detect and handle sudden
spikes in the frequency profile estimates of a sound.... |
<filename>LP/Solver1.py<gh_stars>1-10
# This little solver is only good for *bounded* LPs of the form
# maximize cx
# subject to: Ax <= b
from sympy import *
from itertools import combinations
def enumeratevertices(A, b):
'''enumerates all the vertices of {x | Ax <= b}'''
m, n = A.rows, A.cols
for rowlis... |
"""Integration test based on the 1D rocket problem in the CasADi docs.
See the example `examples/rocket_1d.py` for a description of and
reference for this optimal control problem.
"""
import numpy as np
import pytest
import sympy as sym
import pycollo
@pytest.fixture(scope="module")
def state():
"""Fixture i... |
<filename>helpers.py<gh_stars>1-10
import os.path as osp
import numpy as np
import torch_geometric.transforms as T
from scipy.optimize import linear_sum_assignment
from torch_geometric.datasets import Planetoid
def map_labels(Y_pred, Y):
assert Y_pred.size == Y.size
D = max(Y_pred.max(), Y.max()) + 1
w =... |
<reponame>BasedJellyfish11/Advent-of-Code-2021
from itertools import product
from fractions import Fraction
import numpy as np
with open("../input/day5.txt") as f:
f_lines = [x.strip() for x in f.readlines()]
lines = set()
for line in f_lines:
l, r = line.split("->")
l = tuple(int(x) for x in l.strip().s... |
<gh_stars>1-10
# coding=utf-8
import numpy as np
# para metodos regularizados
from numpy.linalg import norm
import scipy.sparse.linalg
from sys import version_info
if(version_info >= (3,0)):
from importlib import reload as reload
import FarFieldSignal
reload(FarFieldSignal)
from FarFieldSignal imp... |
<filename>plot_interspecies_LD.py
import sample_utils
import config
import parse_midas_data
import os.path
import os
import sys
import numpy
import scipy.stats as stats
import random
import gzip
import matplotlib
matplotlib.use('Agg')
from matplotlib import rcParams
import matplotlib.pyplot as plt
import calculate_lin... |
<reponame>dsa110/dsa110-calib
"""Functions for calibration of DSA-110 visibilities.
These functions use the CASA package casatools to calibrate
visibilities stored as measurement sets.
Author: <NAME>, <EMAIL>, 10/2019
"""
import os
# Always import scipy before casatools
from scipy.fftpack import fft, fftshift, fftfr... |
<reponame>MostaphaG/Summer_project-df
# Merging all files with simplifications, no blocks, no splitting options
# for 2-forms.
#%% Import Modules
import timeit
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import tkinter as tk
from tkinter import ttk
from matplotlib.backends.ba... |
from ignition.dsl.sfl.language import *
from sympy import latex
u = Variable('u')
f = Coefficient('f')
rho, mu, g = Constants('rho mu g')
k_i = RegionConstant('k_i')
a = (k_i * rho * g) / mu
eqn = strong_form(div(-a * grad(u)) - f)
print "eqn:", latex(eqn)
|
#!/usr/bin/env python
#### <license> ####
# Copyright (c) 2016-2017, Lawrence Livermore National Security,
# LLC. Produced at the Lawrence Livermore National Laboratory. Written
# by <NAME> <<EMAIL>>.
#
# LLNL-CODE-720003.
# All rights reserved.
#
# This file is part of MELODEE. For details, see
# http://github.com/ll... |
<reponame>lpereira95/numerical_utils<gh_stars>0
import os
import glob
import re
import statistics
import time
import json
from matplotlib import pyplot as plt
# TODO: change name (do not forget about dependencies)
# TODO: probably this should go to other lib (numerical_utils or utils)
def load_timer(filename):
... |
# File: main.py
# File Created: Tuesday, 7th July 2020 9:43:48 am
# Author: <NAME> (<EMAIL>)
"""
Finite difference solver for wave equation
"""
import abc
import json
import os
from argparse import ArgumentParser
from collections import namedtuple
from time import time
from celluloid import Camera
im... |
<filename>nappy/vasp/elastic_constants.py<gh_stars>10-100
#!/opt/local/bin/python
"""
Calculate elastic constants, C11, C12, C44,
Young's modulus, poison's ratio, and shear modulus,
by static method which measures energy differences
w.r.t. given strains.
Usage:
elastic_constants.py [options]
Options:
-h, --help ... |
<reponame>paolofiorio/Micro-Influencer-Classifier<filename>Twitter/Economic-Approach/TwitterMIC.py
import numpy as np
import tweepy
import datetime
import pandas as pd
from langdetect import detect
import stopwordsiso as stopwords
from emoji import demojize
from nltk.stem.wordnet import WordNetLemmatizer
import re
from... |
<reponame>omid-arhami/Factor-Model-Manager-Performance<gh_stars>1-10
# -*- coding: utf-8 -*-
"""
SCRIPT # 2
Created on Fri Jul 31 01:40:28 2020
@author: omid
"""
import numpy as np
import pandas as pd
import glob
from statistics import median
#################################### Reading the yearly BookVal... |
"""
A custom MPI-enabled linear solver.
"""
#***************************************************************************************************
# Copyright 2015, 2019 National Technology & Engineering Solutions of Sandia, LLC (NTESS).
# Under the terms of Contract DE-NA0003525 with NTESS, the U.S. Government retains c... |
<filename>dolfyn/adp/clean.py
"""Module containing functions to clean data
"""
import numpy as np
from scipy.signal import medfilt
import xarray as xr
from ..tools.misc import medfiltnan
from ..rotate.api import rotate2
from ..rotate.base import _make_model, quaternion2orient
def set_range_offset(ds, h_deploy):
"... |
from ignite.exceptions import NotComputableError
from ignite.metrics.metric import Metric
import scipy.stats as stats
import torch
class PearsonCorrelation(Metric):
"""
Calculates the Pearson correlation.
`update` must receive output of the form (ids, y_pred, y).
"""
def reset(self):
self.... |
<reponame>MendozaEmerson/AriMath
from django.shortcuts import render
import numpy as np
from sympy import *
def newtonRaphson(f, fderivative, xn, e, N):
imprimir=['','','']
resultados=[]
x = symbols('x')
step = 1
flag = 1
condition = True
while condition:
if np.float64(fderivative.e... |
"""
Test the utility functions.
"""
from unittest import mock
import numpy as np
import numpy.testing as npt
from scipy.spatial import cKDTree # pylint: disable=no-name-in-module
import pytest
from ..coordinates import grid_coordinates
from ..utils import parse_engine, dummy_jit, kdtree
from .. import utils
def te... |
import numpy as np
import pandas as pd
import pyapprox as pya
from scipy.stats import uniform, beta
def to_df(partial_order, fix_dict):
"""
Help function to convert difference between
conditioned and unconditioned into dataframe.
Parameters:
===========
partial_order : dict, partial ranking of... |
# we use the tplquad command to integrate f(x,y,z)=ysin(x)+zcos(x)
# over the region
# 0<=x<=π
# 0<=y<=1
# −1<=z<=1
from scipy.integrate import tplquad
import numpy as np
def integrand(z, y, x):
return y * np.sin(x) + z * np.cos(x)
ans, err = tplquad(integrand,
0, np.pi, # x limits
... |
<gh_stars>1-10
import os
import shutil
import time
from datetime import datetime
import keyboard
import smtplib
from email.mime.text import MIMEText
from email.mime.image import MIMEImage
from email.mime.audio import MIMEAudio
from email.mime.multipart import MIMEMultipart
from threading import Semaphore, Timer, Event,... |
<reponame>hplgit/fem-book<gh_stars>10-100
import sympy as sym
from approx1D import least_squares
import scipy
import scipy.integrate
def sin_series(N):
psi = []
for k in range(1,N):
psi_k = sym.sin(sym.pi*k*x)
psi.append(psi_k)
return psi
def taylor_series(N):
psi = []
for k in range(1,N):
... |
import numpy as np
from scipy import stats
import perfplot
from matplotlib import pyplot as plt
from kdenumba import KDE_Numba
plt.figure(figsize=(6,5))
for ii in range(1,5):
def pdf_scipy(x):
smpl = np.random.gumbel(0, 0.1, 10**ii)
weights = np.ones(smpl.shape)
return stats.gaussian_kde(... |
<filename>specutils/wcs/specwcs.py
# This module provides a basic and probably temporary WCS solution until astropy has a wcs built-in
import warnings
import numpy as np
from astropy.extern import six
from astropy.utils import misc
from astropy.modeling import Model, polynomial
from astropy.modeling.parameters import... |
"""
Solve the resonant cavity problem with Whitney forms.
References:
<NAME> and <NAME> and <NAME>
"Finite element exterior calculus: from Hodge theory to numerical
stability"
Bull. Amer. Math. Soc. (N.S.), vol. 47, No. 2, pp. 281--354
DOI : 10.1090/S0273-0979-10-01278-4
"""
from pydec import simp... |
<gh_stars>1-10
from __future__ import division #WHY DOES THIS NOT WORK????????????????????????
import numpy as np
import scipy.stats
import itertools
def forward_stepping(particles,weights,h,potential):
N_steps = int(1. / h)
d=particles.shape[0]
h = 1. / N_steps
N_particles = particles.shape[1]
part... |
<filename>hdpg1d/adaptation.py<gh_stars>0
import numpy as np
from numpy import concatenate as cat
from scipy.sparse import csr_matrix
import scipy.sparse.linalg as spla
from copy import copy
import matplotlib.pyplot as plt
import warnings
from .preprocess import shape, discretization, boundaryCondition
plt.rc('text', ... |
<filename>qutip/sesolve.py
# This file is part of QuTiP: Quantum Toolbox in Python.
#
# Copyright (c) 2011 and later, <NAME> and <NAME>.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# ... |
# -*- coding: utf-8 -*-
import copy
import os
import numpy as np
from scipy import misc
from skimage.transform import resize
from scipy import ndimage
################################################################################
#
# Utility functions for performing object localization.
#
######################... |
<reponame>shahkv95/healthurance-prems
# -*- coding: utf-8 -*-
# Commented out IPython magic to ensure Python compatibility.
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
# %matplotlib inline
"""The insurance.csv dataset contains 1300+ observations (rows) and 7 features (... |
import json
import math
import sys
import typing
import numpy as np
import requests
import pandas as pd
from collections import defaultdict
from pathlib import Path
from scipy.spatial.distance import cosine, euclidean
from tl.utility.utility import Utility
from tl.exceptions import TLException
# column,row,label,... |
import os
import sys
import json
import logging
import re
import numpy as np
import pandas as pd
import glob
from scipy.io import mmwrite
from scipy.sparse import csr_matrix
from celescope.tools.report import reporter
from celescope.tools.utils import glob_genomeDir, log
from celescope.tools.Analysis import Analysis
im... |
"""
Repackage package itsmr in R
https://cran.r-project.org/web/packages/itsmr/itsmr.pdf
"""
import sys
import numpy as np
import itertools
import math
import warnings
import pprint
from scipy.stats import norm
from statsmodels.tsa.arima_model import ARIMA
from statsmodels.tsa.stattools import acovf
class ITSM:
de... |
<filename>task_generator.py
import os
import random
import torch
from torch.utils.data import DataLoader, Dataset
from torch.utils.data.sampler import Sampler
import torchvision.transforms as transforms
import numpy as np
from PIL import Image
from scipy.special import binom
class FewShotDataset(Dataset):
def __i... |
<filename>abtestoo/frequentist/proportions.py<gh_stars>1-10
from typing import Tuple
import numpy as np
import scipy as sp
import pandas as pd
from plotnine import *
from mizani import *
__all__ = [
'proportion_samples',
'proportion_test',
'proportion_ci',
'proportion_plot'
]
def proportion_samples(m... |
<filename>semseg/VOC.py<gh_stars>0
#!/usr/bin/env python
import os.path as osp
import numpy as np
import PIL.Image as Image
import scipy.io
import torch
import torchvision
from torch.utils import data
from matplotlib import pyplot as plt
import random
import cv2
from torch.utils.data import DataLoader
uni_size = (16... |
<reponame>ARCCA/cogs3
import datetime
from statistics import mean
from dateutil.relativedelta import relativedelta
from django.db.models import Avg, Count, F, Q, Sum
from django.db.models.functions import TruncMonth
from project.models import Project, ProjectUserMembership
from stats.models import ComputeDaily, Storag... |
import sys
sys.path.insert(0,'./../../..')
from limix.core.cobj import *
from limix.utils.preprocess import regressOut
from limix.core.mean.mean import compute_X1KX2
from limix.core.mean.mean import compute_XYA
import limix.utils.psd_solve as psd_solve
import numpy as np
import scipy.linalg as la
import copy
i... |
"""
Homework 5
Helper Functions
"""
import cv2 as cv
import numpy as np
import scipy.optimize
import submission as sub
import numpy.linalg as la
import matplotlib.pyplot as plt
def _epipoles(E):
U, S, V = np.linalg.svd(E)
e1 = V[-1, :]
U, S, V = np.linalg.svd(E.T)
e2 = V[-1, :]
return e1, e2
d... |
<reponame>piotrsobecki/PCa-CNNs2<filename>src/cnn/network_history.py
from math import ceil
from numpy import ndarray, random
import numpy as np
import os
from cnn.network import Network
from cnn.network_input import NetworkInput, NetworkInputSplit
from cnn.threaded_batch_iter import _gen_batches
from constants import ... |
import datetime
import re
import statistics
import subprocess
import threading
import traceback
import ivr
last_check = None
localtime_trusted = None
# Correct the local time when the difference from GPS time is large.
# The local time on the Raspberry Pi is often very wrong since it doesn't have an RTC.
def correct... |
<reponame>dvorapa/modelovani-fch<filename>Ukol_8.py<gh_stars>0
### Skript pro výpočet řádu reakce a rychlostní konstanty
from sympy import *
import numpy as np
import matplotlib.pyplot as plt
R = 8.314
## Nadefinované podmínky
T = 273.15 + 50 # K
# Koncentrace
t = [0, 40, 70, 220, 320, 404, 642] # s
c = [0.04, 0.037,... |
<reponame>tttthomasssss/whatlies
import pytest
import numpy as np
import matplotlib as mpl
import scipy.spatial.distance as scipy_distance
from whatlies import Embedding, EmbeddingSet
from common import validate_plot_general_properties
"""
*Guide*
Here are the plot's propertites which could be checked (some of them... |
<filename>src/python/manifold_learning/le.py
from __future__ import division
from __future__ import absolute_import
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.utils import check_array
import numpy as np
from scipy import sparse
from scipy.sparse import csr_matrix, spdiags, identity
from ut... |
<gh_stars>10-100
from scipy.optimize import minimize
from autograd import grad
from copy import deepcopy
class ParameterEstimation:
def __init__(self, x, y, model, loss_function, callback=None):
"""
Base class of parameter estimation of a model using regression.
:param x: Array of input v... |
<reponame>rsiddharth-clustrex/PRNet<gh_stars>0
import numpy as np
import os
from glob import glob
import scipy.io as sio
from skimage.io import imread, imsave
from time import time
import argparse
from api import PRN
from utils.write import write_obj
from utils.render_app import get_depth_image
# ---- init PRN
os.env... |
<reponame>selkurdy/MLSeistoLog
"""
python preparelogs.py "BA DEEP-001.las" "BA DEEP-001.dev" "BA DEEP-001TDR.txt" BA_DEEP-001 --logheader 32 --logcols 0 4 --logcolname GR --devheader 17 --devflipzsign
**new update : input is las file
python preparelogs.py BA_DEEP-001.las BA_DEEP-001.dev --logcolname GR --devheader 17... |
<reponame>ratschlab/tools-omicstools
import scipy as sp
def append(f, data, name):
### get current shape
tmp = f[name].shape
### resize
if len(tmp) == 1:
f[name].resize((tmp[0] + data.shape[0],))
f[name][tmp[0]:] = data
elif len(tmp) == 2:
f[name].resize((tmp[0], tmp[1... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.