text string |
|---|
<reponame>ManishSahu53/Vector-Map-Generation-from-Aerial-Imagery-using-Deep-Learning-GeoSpatial-UNET
"""Post Processing of vector and Raster dataset"""
import shapefile
import numpy as np
import os
import cv2
from src import io
import gdal
import ogr
import osr
import config
import logging
# For Post Processing librar... |
import numpy as np
import scipy
from scipy.stats import invgamma
from base_model import *
from output_format import *
import math
class NIGNormal(BaseModel):
'''
Normal-inverse-Gamma_Normal model for Thompson Sampling.
This model does not consider the context.
'''
init_mu = 0
init_v = 1
in... |
import os
import json
from collections import Counter, defaultdict
import pandas as pd
import networkx as nx
import statistics
import math
from sklearn.metrics import cohen_kappa_score
import seaborn as sns
import pandas
import matplotlib.pyplot as plt
ANNOTATION_TASKS = ["participants", "subevents"]
TASK_TO_INDEX ... |
<gh_stars>100-1000
import os
import re
import argparse
import codecs
import cPickle
import numpy as np
import matplotlib as mpl
from scipy.misc import imresize
from multiprocessing import Pool
import scipy.io as sio
import cv2
import subprocess
import shlex
from log import logging
from easydict import EasyDict as edict... |
<reponame>Tuyki/mogp-decomposition<filename>experiments/Jester/jester.py
"""
Copyright 2021 Siemens AG
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limita... |
<filename>experiments/sdr_document_ranking/method/aes.py<gh_stars>0
import math
from six import iteritems
from six.moves import xrange
import numpy
from numpy import dot
import sys
from numpy.linalg import norm
from gensim.models import KeyedVectors
from gensim.utils import simple_preprocess
import scipy
import scipy.s... |
<reponame>kumagai-group/pydefect
# -*- coding: utf-8 -*-
# Copyright (c) 2020. Distributed under the terms of the MIT License.
import string
from dataclasses import dataclass, asdict
from itertools import product
from typing import Dict, Optional, Union, List, Set, Tuple
import numpy as np
import yaml
from monty.json... |
<reponame>StevenHuang2020/OpencvPython
# python3 Steven segmentation test
# import cv2
import numpy as np
import argparse
from ImageBase import binaryImage, loadImg, grayImg, autoThresholdValue
from ImageBase import plotImg, thresHoldModel, cannyImg
# from mainImageHist import plotImagAndHist, plotImgHist
from mainImag... |
<gh_stars>100-1000
from typing import Any, List
import numpy as np
import numpy.typing as npt
from scipy.signal import savgol_filter
from shapely.geometry import Polygon
from nuplan.common.actor_state.agent import Agent
from nuplan.common.actor_state.ego_state import EgoState
from nuplan.common.actor_state.oriented_b... |
import numpy as np
import pandas as pd
from scipy.stats import beta
import deTiN.deTiN_utilities as du
np.seterr(all='ignore')
class model:
"""Model of tumor in normal (TiN) based on only candidate SSNVs. This estimate is most
reliable when there are greater then 6 mutations and TiN is less then ~30%. Previ... |
'''Utility functions for icnn.
Author: <NAME> <<EMAIL>>
'''
import numpy as np
import PIL.Image
import scipy.io as sio
import scipy.ndimage as nd
from scipy.misc import imresize
def img_preprocess(img, img_mean=np.float32([104, 117, 123])):
'''convert to Caffe's input image layout'''
return np.float32(np.t... |
"""Code to generate edge dislocations/singularities in lattices"""
import numpy as np
import dask.array as da
import itertools as itert
from skimage.feature import peak_local_max
from scipy.interpolate import RectBivariateSpline
from scipy.optimize import minimize
from latticegen.transformations import (
rotate,
... |
<filename>Test24_gan/test24_gan.py
# -*- coding: utf-8 -*-
import os
import random
import numpy as np
import tensorflow as tf
from PIL import Image
# import cv2
import scipy.misc as misc
#http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
CELEBA_DATE_DIR = '../../data/img_align_celeba'
train_images = []
for image_filen... |
<reponame>huangshenno1/project_euler
from fractions import Fraction
ex = [Fraction(0, 1)] * 1001
def expansion(n):
if ex[n] > 0: return ex[n]
if n == 0: ex[n] = Fraction(1, 1)
else: ex[n] = 1 + 1 / (1 + expansion(n-1))
return ex[n]
def valid(n):
f = expansion(n)
return len(str(f.numerator)) >... |
"""
calculates best erd/s and feeds it into REWB model:
correlation of ERD/S with performance?
later also correlation of BP and performance
"""
import numpy as np
import sys
import os.path
import scipy
from scipy.stats import zscore, iqr
import csv
import sklearn
from sklearn.linear_model import LinearRegression
import... |
import numpy as np
import pandas as pd
from functools import reduce
import scipy.ndimage.measurements as spm
from regional import many as Many
from regional import one as One
from scipy.sparse import coo_matrix
def stack_describe(stack):
num_hybs = stack.shape[0]
stats = [im_describe(stack[k, :]) for k in ran... |
<filename>AutoXGBoost/gridSpec.py
"""A really stupid dumb uniform grid spec with only ranges/boxes available and separate messing with params in the spec and out of it"""
from UniOpt.core.Spec import *
import scipy.stats
defaultGridSpec = {
"colsample_bytree": HyperparamDefinition(float, scipy.stats.beta(a=10, b=1))... |
import numpy as np
from scipy.misc import imresize
import gym
import matplotlib.pyplot as plt
def preprocess_frame(frame, v_crop=(0, 0), h_crop=(0, 0)):
"""
Preprocess image for faster computation
Parameters
----------
frame : ndarray
Color image, of shape (H,W,C)
v_crop : tuple, opti... |
import torch
import torch.nn as nn
import numpy as np
import scipy
from scipy import interpolate
try:
import matplotlib.pyplot as plt
except Exception:
plt = None
class RandomSplineSCM(nn.Module):
def __init__(self, input_noise=False, output_noise=True,
span=6, num_anchors=10, order=3, ... |
'''
Static class dataset generator for inductive bias experiment
Author: <NAME>
'''
import numpy as np
from scipy.stats import norm
from scipy.stats import matrix_normal
from tqdm import tqdm #compatible with jupyter after vscode update
class DatasetGenerator:
@staticmethod
def generate_2d_rotation(theta=0,... |
import os
import numpy as np
import scipy.io as scpio
import tofu as tf
_PATH_HERE = os.path.dirname(__file__)
_PATH_INPUTS = os.path.dirname(_PATH_HERE)
_PATH_SAVE = _PATH_INPUTS
# #############################################################################
# ################################################... |
<reponame>lwa19/dsc
#!/usr/bin/env python
__author__ = "<NAME>"
__copyright__ = "Copyright 2016, Stephens lab"
__email__ = "<EMAIL>"
__license__ = "MIT"
import sys, os, re, yaml, itertools, collections, sympy
from itertools import cycle, chain, islice
from fnmatch import fnmatch
from difflib import SequenceMatcher
fro... |
<filename>tools.py
import numpy as np
import matplotlib.pyplot as plt
from scipy.ndimage import gaussian_filter
from numpy.lib import stride_tricks
import matplotlib as mpl
import socket
import os
import copy
def sliding_window(im, win_height=128, win_width=64, x_stride=1, y_stride=1):
"""Returns a view win into ... |
"""The Beta distribution."""
from equadratures.distributions.template import Distribution
from equadratures.distributions.recurrence_utils import jacobi_recurrence_coefficients
import numpy as np
from scipy.special import erf, erfinv, gamma, beta, betainc, gammainc
from scipy.stats import beta
RECURRENCE_PDF_SAMPLES ... |
<gh_stars>1-10
from __future__ import print_function, division, absolute_import, unicode_literals
from builtins import bytes, dict, object, range, map, input#, str
from future.utils import itervalues, viewitems, iteritems, listvalues, listitems
from io import open
import numpy as np
import math
import random
from time... |
<reponame>frejanordsiek/hdf5storage<filename>tests/test_matlab_compatibility.py
# Copyright (c) 2014-2021, <NAME>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# 1. Redistributions of source... |
<gh_stars>1-10
# -*- coding: utf-8 -*-
"""
======================
Laplacian segmentation
======================
This notebook implements the laplacian segmentation method of
`McFee and Ellis, 2014 <http://bmcfee.github.io/papers/ismir2014_spectral.pdf>`_,
with a couple of minor stability improvements.
Throughout the ... |
import time
import cv2 as cv
import numpy as np
import math
from libs.centroid_object_tracker import CentroidTracker
from scipy.spatial import distance as dist
from libs.loggers.loggers import Logger
class Distancing:
def __init__(self, config):
self.config = config
self.ui = None
self.de... |
<reponame>AntoineSIMTEK/NuMPI
#
# Copyright 2018, 2020 <NAME>
# 2019 <NAME>
#
# ### MIT license
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including with... |
import sklearn.datasets
import scipy as sp
all_data = sklearn.datasets.fetch_20newsgroups(subset="all")
print("Number of total posts: %i" % len(all_data.filenames))
groups = [
'comp.graphics', 'comp.os.ms-windows.misc', 'comp.sys.ibm.pc.hardware',
'comp.sys.mac.hardware', 'comp.windows.x', 'sci.spac... |
<reponame>wangyifan717/UncertainSCI
import numpy as np
import scipy as sp
from scipy import sparse as sprs
from UncertainSCI.families import JacobiPolynomials, HermitePolynomials, LaguerrePolynomials
from UncertainSCI.families import DiscreteChebyshevPolynomials
from UncertainSCI.opolynd import TensorialPolynomials
fr... |
<filename>pysal/lib/io/iohandlers/mat.py
import scipy.io as sio
from .. import fileio
from ...weights import W
from ...weights.util import full, full2W
__author__ = "<NAME> <<EMAIL>>"
__all__ = ["MatIO"]
class MatIO(fileio.FileIO):
"""
Opens, reads, and writes weights file objects in MATLAB Level 4-5 MAT for... |
<gh_stars>1-10
import os
import pandas as pd
import numpy as np
from genepy.utils import helper as h
from genepy.utils import plot
from genepy.epigenetics.chipseq import *
import seaborn as sns
import pyBigWig
import matplotlib.pyplot as plt
from scipy.optimize import minimize
from scipy.special import factorial
import... |
# Question 01, Lab 07
# AB Satyaprakash - 180123062
# imports
from math import sqrt, log, exp
from scipy.stats import norm
# functions
def calEurCallPutPrices(T, K, S, r, σ, t):
if(T == t):
putp = max(K-S, 0)
callp = max(S-K, 0)
return [callp, putp]
d1 = (log(S/K)+(r+(σ**2/2))*(T-t)... |
<filename>simba/validate_model_on_single_video_copy.py<gh_stars>100-1000
import pickle
from configparser import ConfigParser
import os
import pandas as pd
import cv2
import numpy as np
import matplotlib.pyplot as plt
import imutils
import subprocess
from scipy import ndimage
import warnings
warnings.simplefilter(action... |
<reponame>napoles-uach/streamlit_apps
import streamlit as st
import os
import networkx as nx
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import imageio
from scipy.spatial.distance import cdist
import random
#st.title('Empty app :rocket:')
# Put your Python+Streamlit code here ...
# you can m... |
#===============================================================================
# Copyright (c) 2012-2015, GPy authors (see AUTHORS.txt).
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Red... |
<reponame>shibaji7/submarine_cable_modeling
"""
simulate_synB_synT.py: Module is used to implement Synthetic B-Field structures.
"""
__author__ = "<NAME>."
__copyright__ = ""
__credits__ = []
__license__ = "MIT"
__version__ = "1.0."
__maintainer__ = "<NAME>."
__email__ = "<EMAIL>"
__status__ = "Research"
import n... |
import numpy as np
from scipy import interpolate, integrate
class Signal:
# Implements a signal that was sampled.
def __init__(self, time, samples):
if type(time) == list:
time = np.array(time)
if type(samples) == list:
samples = np.array(samples)
self.time = time
self.samples = samples
@property
d... |
<filename>nppac/clone_from_dataset_gp.py
from gym.envs.mujoco import HalfCheetahEnv, HopperEnv, Walker2dEnv, AntEnv
from rlkit.envs.wrappers import NormalizedBoxEnv
import rlkit.torch.pytorch_util as ptu
import torch
import argparse
import numpy as np
import random
import gpytorch
import datetime
import gym
import m... |
<reponame>ryanjdillon/smartmove
'''
This module contains functions for generating individual plots for the smartmove
paper, as well as a function to load the necessary data and call them all
'''
from os.path import join as _join
_linewidth = 0.5
def plot_sgls_tmbd(exps_all, path_plot=None, dpi=300):
'''Plot percen... |
<gh_stars>0
# from emuBot import
from definintions import *
import time
class orderSet(list):
def __sub__(self, y):
x = self
for a in y:
if a in x:
x.remove(a)
return x
class Reader(object):
def __init__(self, filename):
# Initialises the file to be ... |
<gh_stars>0
import os
import shutil
import numericalunits as nu
import pandas as pd
from dddm import utils, exporter
import warnings
from scipy.interpolate import interp1d
import numpy as np
export, __all__ = exporter()
@export
class ShieldedSHM:
"""
class used to pass a halo model to the rate computation ba... |
import numpy as np
import matplotlib.pyplot as plt
from tqdm import tqdm
import cv2
import os
import pickle
import json
from roipoly.roipoly import RoiPoly, MultiRoi
import argparse
import datetime
import time
from threading import Timer, Thread
from OPTIMAS.utils.files_handling import images_list, read_fps, \
... |
import shutil, atexit, os, tempfile, logging
import numpy as np
import cv2
from scipy import ndimage
import ray
from src.focus_stack.utilities import Utilities
import src.focus_stack.RayFunctions as RayFunctions
# Setup logging
log = logging.getLogger(__name__)
class ImageHandler:
image_storage = {}
image_s... |
"""
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Make animations of rotating polytopes
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
This script computes the data of a given polytope and writes it
into a POV-Ray .inc file, then automatically calls POV-Ray
to render the frames and calls FFmpeg to convert the frames to
a mp4 movie. Yo... |
import torchgeometry as tgm
import torch.nn as nn
import torch.nn.functional as F
import torch
import logging
import datetime
import os, json, sys
import numpy as np
from utils.Quaternions import Quaternions
from utils.Pivots import Pivots
import scipy.ndimage.filters as filters
import copy
device = torch.device("cud... |
<reponame>4dnucleome/cog-abm
import time
from statistics import correct
def timeit(fun, *args, **kwargs):
start = time.time()
ret = fun(*args, **kwargs)
elapsed = time.time() - start
return (ret, elapsed)
def analyse_classifier(classifier, d_train, d_test):
train_t = timeit(classifier.train, d_t... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Support functions for the sindy toolkit.
Called by 'runToolkit.py', 'runToolkitExtended.py' and by 'plotSelectedIterations.py'.
For the full procedure, see "README.md".
For method details, please see "A toolkit for data-driven discovery of governing equations in
h... |
import numpy as np
from GPy.kern import RBF
from GPy.models import SparseGPRegression
from hyperopt import fmin, hp, tpe
from scipy.stats import spearmanr
from sklearn import svm
from sklearn.ensemble import (
GradientBoostingClassifier,
GradientBoostingRegressor,
RandomForestRegressor,
)
from sklearn.linea... |
#import cPickle as pickle
import numpy as np
import os
from math import sqrt, ceil
from random import randrange
from scipy.misc import imread
from sklearn.datasets import fetch_mldata
def get_MNIST_data(num_training=50000, num_validation=10000, num_test=10000):
"""
Load the CIFAR-10 dataset from disk and perfo... |
<reponame>fcoclavero/wordvectors
__author__ = ["<NAME>"]
__email__ = ["<EMAIL>"]
__status__ = "Prototype"
import sys
from random import randrange
import numpy as np
from scipy.spatial.distance import cosine
def random_insert(lst, item):
"""
Inserts an item into a list, at a random position.
:param ls... |
from .differentiation import Derivative, register
from .utils import deriv, integ
import numpy as np
from numpy.linalg import inv
from scipy import interpolate
from scipy.special import legendre
from sklearn.linear_model import Lasso
@register("spectral")
class Spectral(Derivative):
def __init__(self, **kwargs):... |
<reponame>zmlabe/ModelBiasesANN
"""
ANN for evaluating model biases, differences, and other thresholds using
explainable AI for historical data for regional data
Author : <NAME>
Date : 7 June 2021
Version : 1 - adds extra class (#8), but tries the MMean
"""
### Import packages
import matplotlib.pyplot a... |
<reponame>yifan-you-37/omnihang<gh_stars>1-10
from torch.utils.data import Dataset, DataLoader
import os
import json
import sys
import csv
import itertools
import numpy as np
import pickle
from scipy.spatial import KDTree, cKDTree
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
UTILS_DIR = os.path.abspath(os.pat... |
import numpy as np
from tabulate import tabulate
import matplotlib.pyplot as plt
from scipy.stats import chi2
from .core import *
# Set the font size
plt.rcParams.update({'font.size': 14})
class JointModel(ReadData, ModelFit, BaseFunc):
def __init__(self, df, formula, poly_orders=(), optim_meth='defau... |
<reponame>rutgerhartog/apocrypha
from scipy.stats import chisquare as chi2
def calculate_chisquare(text: bytes) -> float:
return chi2(text).statistics
|
<reponame>zozo123/tcrdist3
"""
centers
Module contains functions for evaluating TCRs as center(oids) of meta-clonotypes.
find_center
"""
import warnings
import numpy as np
from tcrdist.ecdf import distance_ecdf
def calc_radii(tr, tr_bkgd, chain = 'beta', ctrl_bkgd = 10**-5, use_sparse = True, max_radius=50, chunk... |
<reponame>mbp28/determinantal-point-processes
import numpy as np
from scipy.linalg import orth
def sample_dpp(vals, vecs, k=0, one_hot=False):
"""
This function expects
Arguments:
vals: NumPy 1D Array of Eigenvalues of Kernel Matrix
vecs: Numpy 2D Array of Eigenvectors of Kernel Matrix
... |
<reponame>rknop/amuse<filename>src/amuse/ic/_limepy/limepy.py
# -*- coding: utf-8 -*-
import numpy
import scipy
from numpy import exp, sqrt, pi, sin
from scipy.interpolate import PiecewisePolynomial, interp1d
from scipy.special import gamma, gammainc, dawsn, hyp1f1
from scipy.integrate import ode, quad, simps
from mat... |
#!/usr/bin/env python
import numpy as np
from scipy.optimize import fmin_cg
from scipy.sparse.linalg import svds
from sklearn.metrics.pairwise import pairwise_distances
class ModelBasedRecommender():
def __init__(self, lambda_=0.1, n_features=20):
self.lambda_ = lambda_
self.n_features = n_featur... |
#!/usr/bin/env python
# File: dataset_misr.py
# Author: <NAME>, 5/7/13
#
# Readers and plotters for MISR data sets
#
# Copyright 2013-2015, by the California Institute of Technology. ALL
# RIGHTS RESERVED. United States Government Sponsorship
# acknowledged. Any commercial use must be negotiated with the Office
# of T... |
# Project Quipu - data augmentation methods
import scipy.signal as signal
import numpy as np
import Quipu.tools
def addNoise(xs, std = 0.05):
"Add gaussian noise"
return xs + np.random.normal(0, std, xs.shape)
def stretchDuration(xs, std = 0.1, probability = 0.5):
"""
Augment the length by re-samp... |
from sklearn.cluster import KMeans
from sklearn.neighbors import kneighbors_graph
from scipy.spatial.distance import pdist, squareform
from scipy.sparse.csgraph import laplacian
import numpy as np
"""Args:
X: input samples, array (num, dim)
n_clusters: no. of clusters
n_neighbours: neighborhood size
... |
<reponame>andersx/fitmndod<gh_stars>0
#!/usr/bin/env python2
#
# This is free and unencumbered software released into the public domain.
#
# Anyone is free to copy, modify, publish, use, compile, sell, or
# distribute this software, either in source code form or as a compiled
# binary, for any purpose, commercial or no... |
<gh_stars>0
#!/usr/bin/env python3
#
# This file is part of https://github.com/martinruenz/maskfusion
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at ... |
<reponame>chengyu0910/DeepFusion_IQA_V1.1
import scipy.io as sio
import numpy as np
import torch.nn as nn
import torch
from models.BCNN import BCNN
#matlab文件名
class IQANet_trancated(nn.Module):
def __init__(self, matfile):
super(IQANet_trancated, self).__init__()
# matfile = r"C:\Users\chengyu\De... |
<gh_stars>0
from sympy import Rational as frac
from ..helpers import book
from ._helpers import QuadrilateralScheme, concat, symm_s, symm_s_t
citation = book(
authors=["<NAME>"],
title="On quadrature and cubature",
publisher="Cambridge University Press",
year="1923",
url="https://books.google.de/b... |
<filename>jhfuncs/add_ellipse.py
def add_ellipse(ax, scores, group, comp1 = 0, comp2 = 1, palette=None, alpha=0.95, **kwargs):
"""Add ellipses to a PCA ordination plot based on categorical variables. The indexes of scores and group must match.
Parameters
----------
ax : matplotlib axes
... |
<reponame>campovski/model-analysis-II<gh_stars>0
import os
import numpy
import matplotlib
import matplotlib.pyplot as plt
import scipy.integrate
import scipy.constants
def planetary_motion(y0, t0, t1, dt, G=1, M=1, a=1, omega=1):
def system(t, ys):
x = ys[0]
y = ys[1]
u = ys[2]
v =... |
from flerken.video.utils import apply_single
from flerken.utils import BaseDict
from torchtree import Directory_Tree
from tqdm import tqdm
from scipy.io.wavfile import read
import sys
from collections import deque
import threading
sys.path.append('/home/jfm/GitHub/OpenposeWrapper')
from openpose_wrapper.co... |
<filename>create_sound_files.py
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 31 08:40:33 2019
@author: Pertum
# This code has the funcionality of create the sound files to the DSP test
"""
# includes
import math
import numpy as np
from scipy import signal
import pathlib
import librosa
# diretório de tra... |
<filename>mlopt/tests/test_kkt_solver.py
import unittest
import cvxpy as cp
from cvxpy.error import SolverError
from mlopt.kkt import KKTSolver
from mlopt.tests.settings import TEST_TOL as TOL
from mlopt.strategy import Strategy
import mlopt.settings as stg
import numpy as np
import numpy.testing as npt
import scipy.sp... |
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
from scipy.special import gamma as Gamma
from scipy.integrate import quad
G = 4.300918e-6 ## in units solar mass, km/s kpc
GEV2cm5toMsol2kpc5 = 2.2482330e-07
GEVcm2toMsolkpc2 = 8.5358230e-15
def integrate_J_spherical_alphabe... |
<reponame>Eagle517/io_scene_dts
import os
import bpy
from colorsys import hsv_to_rgb
from itertools import count
from fractions import Fraction
texture_extensions = ("png", "jpg")
default_materials = {
"black": (0, 0, 0, 255),
"black25": (191, 191, 191, 255),
"black50": (128, 128, 128, 255),
"black75"... |
<filename>singlecelltools/nonzero_wilcoxon.py
from scipy import stats
import numpy as np
import pandas as pd
from typing import Literal, Union, Iterable, Optional
from statsmodels.stats.multitest import multipletests
def nonzero_wilcoxon(
adata,
groupby: str,
groups: Union[Literal['all'], Iterable[str]]... |
#calculate the extinction between two bands
#from Rieke & Lebofsky 1985 Table 3
import argparse
parser=argparse.ArgumentParser(
prog = 'CalcMIRExtinction',
formatter_class=argparse.RawDescriptionHelpFormatter,
description='''Calculate the MIR extinction and flux ratios between two wavelengths or bands based on Rie... |
<filename>sfof/python/functions/kdtree.py
############################
# CLUSTER KDTREE FUNCTIONS #
############################
import numpy as np, scipy
from scipy import spatial
def make_kdtree(object_list):
"""
Function that returns a kd-tree of the
provided object list.
"""
pos = []
for i... |
<filename>baselines/neural_best_buddies/pyflow/poisson_image_editing.py
"""Poisson image editing.
"""
import numpy as np
import cv2
import scipy.sparse
from scipy.sparse.linalg import spsolve
from os import path
def laplacian_matrix(n, m):
"""Generate the Poisson matrix.
Refer to:
https://en.wikipedi... |
<reponame>uchileFI3104B-2021A/informe-ejemplo
'''
Este script resuelve la ecuacion (1) del documento enunciado.pdf. La idea es
buscar el valor de a para el cual la integral toma un valor de 0.05.
'''
import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import quad
from scipy.optimize import newton
... |
<filename>Drivers/ZI_MFLI_Lockin/criterion.py
import os
import math
import time
import pickle
def get_pickle_filename(filename_helper):
time_string = time.strftime('%Y-%m-%d_%H-%M-%S', time.localtime())
return os.path.join(os.path.dirname(__file__), 'data_{}{}.pickle'.format(time_string, filename_helper))
def... |
<filename>move_points.py
import numpy as np
from tqdm import tqdm
from sklearn.neighbors import KDTree
from scipy.spatial import Voronoi
from config import *
from multiprocessing import Pool
import os
import traceback
import time
from matplotlib import pyplot as plt
from matplotlib import collections as mc
from sklear... |
<reponame>wacky6/bilibili-live-tools
from statistics import Statistics
import printer
import rafflehandler
import utils
import asyncio
import struct
import json
import sys
import aiohttp
import zlib
class BaseDanmu():
structer = struct.Struct('!I2H2I')
def __init__(self, room_id, area_id):
self.clien... |
""" Functions to apply models.
"""
import glob
import itertools
import os
import numpy as np
import pandas as pd
from pickle5 import pickle
from scipy.special import softmax
from sklearn.utils import shuffle
from tqdm import tqdm
def MAP_score(source_id, target_labels, prediction):
""" Function to compute the M... |
<gh_stars>0
import numpy as np
from scipy.special import gamma
from prml.rv.rv import RandomVariable
np.seterr(all="ignore")
class Beta(RandomVariable):
"""
Beta distribution
p(mu|n_ones, n_zeros)
= gamma(n_ones + n_zeros)
* mu^(n_ones - 1) * (1 - mu)^(n_zeros - 1)
/ gamma(n_ones) / gamm... |
<gh_stars>0
import xdesign
from xdesign.propagation import *
from xdesign.plot import *
from xdesign.acquisition import Simulator
import h5py
from scipy.ndimage.interpolation import rotate
import numpy as np
import tensorflow as tf
from tensorflow.contrib.image import rotate as tf_rotate
import matplotlib.pyplot as plt... |
from .base import Patient
import numpy as np
from scipy.integrate import ode
import pandas as pd
from collections import namedtuple
import logging
import pkg_resources
logger = logging.getLogger(__name__)
Action = namedtuple("patient_action", ['CHO', 'insulin'])
Observation = namedtuple("observation", ['Gsub'])
PATI... |
<reponame>bataeves/kaggle<filename>instacart/imba/lgbm_cv.py
import gc
from concurrent.futures import ThreadPoolExecutor
import pandas as pd
import numpy as np
import os
import arboretum
import lightgbm as lgb
import json
import sklearn.metrics
from sklearn.metrics import f1_score, roc_auc_score
from sklearn.model_sel... |
import os
import numpy as np
import sys
import cStringIO
import re
import scipy.io as sio
import copy
def cell2strtable(celltable, delim='\t'):
''' convert a cell table into a string table that can be printed nicely
Parameters:
celltable - array-like, ndarray with rows and columns in desired order... |
#!/usr/bin/env python2.7
import sympy
import z3
import numpy as np
import scipy.optimize as op
import argparse
import sys, os
import time
import collections
import subprocess
import multiprocessing as mp
import warnings
import struct
import cPickle as pickle
sys.path.insert(0,os.path.join(os.getcwd(),"build/R_ulp"))
i... |
# --------------------------------------------------------------------------
# Source file provided under Apache License, Version 2.0, January 2004,
# http://www.apache.org/licenses/
# (c) Copyright IBM Corp. 2015, 2016
# --------------------------------------------------------------------------
# gendoc: ignore
impo... |
<reponame>bu-bioinfo/workshops
import pandas as pd
import numpy as np
import scanpy as sc
from scipy import sparse
def preprocess_cells(adata, min_cells, min_genes, pct_mito, n_hvgs):
"""
Preprocess and clean up scRNAseq data.
params
------
adata : sc.AnnData
dataset to clean
min_cells... |
<filename>datasetsnx/readers/voc.py<gh_stars>0
import os
import ntpath
import numpy as np
from PIL import Image
from addict import Dict
from scipy.io import loadmat
from .reader import Reader
from .utils import read_image_paths
try:
import xml.etree.cElementTree as ET
except ImportError:
import xml.etree.Elemen... |
<gh_stars>0
# Copyright (c) 2020 <NAME> & <NAME>
# FEniCS Project
# SPDX-License-Identifier: MIT
import basix
import numpy
import pytest
import sympy
from .test_lagrange import sympy_lagrange
def sympy_rt(celltype, n):
x = sympy.Symbol("x")
y = sympy.Symbol("y")
z = sympy.Symbol("z")
from sympy impo... |
<gh_stars>10-100
'''
################################################################################
#
# SiEPIC-Tools
#
################################################################################
Circuit simulations using Lumerical INTERCONNECT and a Compact Model Library
- run_INTC: run INTERCONNECT using P... |
"""The module for training ENAS."""
import contextlib
import glob
import math
import os
import numpy as np
import scipy.signal
from tensorboard import TensorBoard
import torch
from torch import nn
import torch.nn.parallel
from torch.autograd import Variable
import models
import utils
logger = utils.get_logger()
d... |
# -*- coding: utf-8 -*-
from __future__ import division, print_function
__all__ = ["GP"]
import warnings
import numpy as np
from scipy.linalg import LinAlgError
from . import kernels
from .solvers import TrivialSolver, BasicSolver
from .modeling import ModelSet, ConstantModel
from .utils import multivariate_gaussia... |
import sys
import pdb
import scipy.stats as stats
import scipy.special
import pickle
from rdatkit.settings import *
from matplotlib.pylab import *
import numpy as np
from scipy import stats, optimize
########## patching scipy
stats.distributions.vonmises.a = -np.pi
stats.distributions.vonmises.b = np.pi
def _fitst... |
from basic import S, C
from expr import Expr
from sympify import _sympify, sympify
from cache import cacheit
from sympy.utilities.iterables import all
# from add import Add /cyclic/
# from mul import Mul /cyclic/
# from function import Lambda, WildFunction /cyclic/
class AssocOp(Expr):
""" Associative operati... |
'''
Created on Nov 27, 2017
@author: fan
'''
import numpy as np
import scipy.stats
import pyfan.amto.array.mesh as mesh
def three_vec_grids(vara_min, vara_max, vara_grid, vara_grid_add=None,
varb_min=None, varb_max=None, varb_grid=None, varb_grid_add=None,
varc_min=None, var... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.