text string |
|---|
#!/usr/bin/env python3
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import glob, re, argparse, sys, os
import sklearn.metrics
import scipy.stats
import seaborn as sns
import seaborn.utils, seaborn.palettes
from seaborn.palettes import blend_palette
from inspect import sign... |
# 一行データ記述統計
def describe1(data):
# 必要なライブラリをインポート
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# 元データ出力
print(data)
# サンプルサイズ
def length(data):
count = 0
for d in data:
count += 1
return count
# 合計値
def ... |
<gh_stars>1-10
#!/usr/bin/python
import numpy as np
import os
import sys
import math
import matplotlib
matplotlib.use('Pdf')
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.font_manager as fm
## 6-1-15
## S... |
import statistics
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
from .core import natural_keys
from .core import rename_alg
from .core import sort_algorithms
def violin_plot(data_table, gen, rename_map, output_folder, alg_order):
plt.style.... |
'''a lot from gsas but still not in use
'''
import numpy as np
# import numpy.linalg as nl
from scipy.spatial.transform import Rotation as R
from .ransac import ransac_lin
def sind(x):
return np.sin(x * np.pi / 180.)
def asind(x):
return 180. * np.arcsin(x) / np.pi
def tand(x):
return np.tan(x * np.p... |
<filename>scripts/mod_grav/old/grav_class_test.py<gh_stars>0
import sys, time, itertools
import dill as pickle
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import scipy.interpolate as interp
import scipy.stats as stats
import scipy.optimize as opti
import scipy.linalg a... |
#!/usr/bin/env python
"""Tools for fitting 3rd order Birch-Murnaghan EOS"""
import numpy as np
import scipy.optimize as spopt
def fit_BM3_EOS(V, F, verbose=False):
"""Fit parameters of a 3rd order BM EOS"""
popt, pconv = spopt.curve_fit(BM3_EOS_energy, V, F,
p0=[np.mean(V), np.mean(F), 150... |
<filename>smt/applications/tests/test_ego.py
"""
Author: <NAME> <<EMAIL>> and <NAME>
This package is distributed under New BSD license.
"""
import warnings
warnings.filterwarnings("ignore")
import unittest
import numpy as np
from sys import argv
import matplotlib
matplotlib.use("Agg")
from smt.applications import ... |
from scipy.sparse.linalg import LinearOperator, aslinearoperator
from scipy.sparse import diags, issparse, vstack, hstack
from scipy.sparse.linalg import norm as norm_sparse
from numpy.linalg import norm
import numpy as np
# TODO: document these!!
def safe_norm(X, ord=None, axis=0):
if is_sparse_or_lin_op(X):
... |
<filename>software/nnet/isbi/Antipasti/Antipasti/prepkit.py
__author__ = 'nasimrahaman'
__doc__ = \
"""
PREProcessing KIT: Module to handle preprocessing business.
Contents:
preptrain: Train of preprocessing functions.
prepkit: Collection of basic prep functions. Each of these functions ret... |
# Starting from the target condition, which normally refers to network
# outputs such as one class being chosen, rule sets are extracted using
# conditions on the activations of the next shallower layer. The process
# is repeated with each of these conditions, and so on until the conditions
# are with respect to th... |
from audioop import cross
from lib2to3.pgen2.pgen import generate_grammar
from typing import Callable, Iterable, Iterator, Union
from matplotlib import pyplot as plt
from sympy import Sum, gcd, lambdify
from inference import BinaryOperator, Distributive
from elements import AlgebraicStructure, Group, Field, Module, Ve... |
from __future__ import generators, print_function
import numpy as np
from random import shuffle
from scipy.io import loadmat
from copy import deepcopy
import functools
import Queue
#from multiprocessing import Process, Queue, Manager, Pool
import threading
import time
from collections import defaultdict
def async_pre... |
import cv2 as cv
import numpy as np
import matplotlib.pyplot as plt
from scipy.ndimage.filters import convolve
img = cv.imread('img.png')#read Image
img_gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
img_RGB = cv.cvtColor(img, cv.COLOR_BGR2RGB)
plt.imshow(img_RGB)
plt.title("Original IMG")
plt.show()
#Smoothing using Ga... |
import pandas as pd
import numpy as np
import scipy
from scipy.optimize import minimize_scalar
from numpy import linalg as LA
from scipy.stats import gaussian_kde
from numpy.linalg import inv
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.backends.backend_pdf
import statsmodels.formula.api as sm
d... |
<filename>moabb/datasets/Lee2019.py
"""
BMI/OpenBMI dataset (Motor Imagery).
"""
import numpy as np
from mne import create_info
from mne.channels import make_standard_montage
from mne.io import RawArray
from scipy.io import loadmat
from moabb.datasets import download as dl
from moabb.datasets.base import BaseDataset
... |
"""
Appendix material
Plot 2 different tight layout adv. results of dim for each dataset (MNIST and CIFAR10)
"""
import os
import numpy as np
from glob import glob
import scipy.misc
import utils
EDGE_SIZE = 1
IMAGE_SIZE = 28
BLOCK_SIZE = IMAGE_SIZE + 2*EDGE_SIZE
def compare_targetCap_vs_diffDims(model_dataset_lv... |
from networks import *
from utils import *
from Train_DCGAN import DCGAN
from PIL import Image
import scipy.misc as misc
class SemanticImageInpainting:
def __init__(self):
self.img = tf.placeholder(tf.float32, [1, IMG_H, IMG_W, IMG_C])
self.mask = tf.placeholder(tf.float32, [1, IMG_H, IMG_... |
<reponame>Surabhivj/BraneMF
from sklearn.cluster import KMeans
import numpy as np
import pandas as pd
import scipy.io as sio
from sklearn import metrics
from scipy.stats import ttest_ind
import argparse
import scipy.stats as stats
import glob
import os
import gseapy
import statistics as st
def parse... |
"""Utilities for selection."""
import operator
import warnings
from functools import reduce
import numpy as np
from scipy.stats import rankdata
from sklearn.utils import check_array
from ._validation import check_random_state, check_scalar, check_type
def rand_argmin(a, random_state=None, **argmin_kwargs):
"""R... |
import time
import os
import sys
import numpy as np
import scipy.io
import scipy.misc
import torch
import torchvision
from nams import *
NAME = 'cars196.triplet.fc6'
DESCRIPTION = ''
batch_size = 32
test_frequency = 1000
loss_frequency = 100
###############################################################
# Read c... |
<filename>func_DrawLine.py
import numpy as np
from math import pi
from math import sin
from math import cos
import matplotlib.pyplot as plt
import scipy.io
def func_DrawLine(Img, X0, Y0, X1, Y1, nG):
W = Img.shape[0]
H = Img.shape[1]
if X0 >= 0 and X0 < W and Y0 >= 0 and Y0 < H:
Img[X0, Y0] = nG
... |
<filename>code/functions/parsing.py
# code adapted from <NAME>, which is adapted from <NAME>
from scipy.io import loadmat
from numpy import genfromtxt
def parse_fb100_mat_file(filename):
""" Parse FB100 .mat files.
Metadata values:
0 - student/faculty status
1 - gender
... |
<filename>3rd/main_optim_anim.py
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import fmin_l_bfgs_b
import random
# original
from datafunctions import load_data
from main_basic_gp import calc_cov_K, Gaussian_process
from kernels import RBF_kernel_with_exp
from main_optim import optimize_gaussi... |
# -*- coding: utf-8 -*-
"""
Created on Tue Sep 8 09:55:55 2020
@author: mi19356
"""
# -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import numpy as np
import matplotlib.pyplot as plt
import sympy
from sympy import *
from sympy.solvers import solve
import copy
cla... |
<reponame>jthomas03/gpSTS<filename>src/controls.py
# -*- coding: utf-8 -*-
#
# <NAME> 2021 gpSTS
#################################
##Bias Spectroscopy Collection###
#################################
import numpy as np
import Config
import os
import random
import time
from scipy.interpolate import griddata
import sys
i... |
<filename>xml-cnn/code/header.py
import torch
import torch.nn as nn
import torch.autograd as autograd
import torch.optim as optim
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import os
from torch.autograd import Variable
import sys
import numpy as np
sys.path.append('../util... |
"""Generate Gaussian distribution of point loads."""
import logging
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger(__name__)
def main():
opts = read_cli()
loadfilename = ("gauss_exc_sigma_%.3f_%.3f_%.3f_"
"center_%.3f_%.3f_%.3f_amp_%.3f_amp_cut_%.3f_%s.dyn" %
... |
<filename>coeficientesConIntegral.py
import sympy as sym
T=2; W0=sym.pi
t, n=sym.symbols('t n')
print 'ao='
a0=(sym.integrate(t+1, (t, -1, 0)) + sym.integrate(-t+1, (t, 0, 1)))/T
sym.pprint(a0)
print 'an='
an=2*(sym.integrate((t+1)*sym.cos(n*W0*t), (t, -1, 0)) + sym.integrate((-t+1)*sym.cos(n*W0*t), (t, 0, 1)))/T
sym... |
<gh_stars>1-10
from __future__ import division
import numpy as np
import numba
import scipy.fftpack
def get_nodes(size, length=1.):
return length*(np.linspace(0, 1, size, endpoint=False) + 1/2/size)
def resample(wave, new_size):
size = len(wave)
new_nodes = get_nodes(new_size)
resampled = np.interp(... |
<reponame>ikhovryak/speech_analysis<gh_stars>0
import sounddevice as sd
from scipy.io.wavfile import write
def record_audio(correct_length):
print("Start speaking...")
fs = 44100 # Sample rate
seconds = correct_length*2.5 # Duration of recording
myrecording = sd.rec(int(seconds * fs), samplerate=fs,... |
<reponame>nbvc1003/stockAnalyst<filename>examples/stock_analisys.py
from pandas_datareader import data
from pandas_datareader._utils import RemoteDataError
from datetime import date
import pandas as pd
import matplotlib.pyplot as plt
from scipy import stats, polyval
import time, sys
# #++++++++++++++++++++++++++++++... |
<reponame>fabiocarrara/adversarial-detection
"""Implementation of adversarial detection.
This code builds the search database extracing features from the network to
defend.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import lmdb
import nu... |
<reponame>jiangfuqing/SpatialDE<gh_stars>10-100
import click
import numpy as np
from scipy import stats
import pandas as pd
from tqdm import tqdm
import SpatialDE
@click.command()
@click.argument('prefix')
@click.argument('n_samples', default=100)
@click.argument('n_genes', default=10000)
def make_data(prefix, n_sam... |
import cf
import numpy as np
import pandas as pd
from scipy.stats import norm
import read_amo_index as idxamo
import sys
from colorama import Fore, Style
YR=int(sys.argv[1:][0])
#Reading the forecasting model
forecast_model = pd.read_pickle('obs_forecast_model_feb.pkl')
#AMO
MON = np.array([1,11,12])
amo = np.nanme... |
<reponame>kirthevasank/mps
"""
Implements some example discriminative models.
-- <EMAIL>
"""
# pylint: disable=invalid-name
# pylint: disable=abstract-method
# pylint: disable=no-member
from copy import deepcopy
import numpy as np
try:
from scipy.stats import multivariate_normal
except ImportError:
from numpy... |
<reponame>Bhumbra/probayes<gh_stars>0
'''
A wrapper for sympy-based probability objectsj
Note we eschew sympy.stats.density etc...
'''
import collections
import functools
import numpy as np
import sympy
import sympy.stats
import scipy.stats
from probayes.expr import Expr
#---------------------------------------------... |
import numpy as np
from scipy.sparse.linalg import eigs
class TCA:
# an implementation of TCA domain adaptation
def __init__(self, source_data, target_data, kernel):
Xs = source_data
Xt = target_data
self.X = np.row_stack((Xs, Xt)) # data from each domain combined
# normal... |
<filename>imaging/man.py
#This submodule includes routines to manipulate image arrays
import numpy as np
from scipy.interpolate import griddata
from utilities.imaging.fitting import legendre2d
import pdb
def unpackimage(data,xlim=[-1,1],ylim=[-1,1],remove=True):
"""Convert a 2D image into x,y,z coordinates.
x... |
<gh_stars>1-10
import os
import glob
from ctypes import CDLL, c_int, c_void_p, c_double
from typing import Optional
import numpy as np
from scipy.linalg import blas
from scipy.sparse import csr_matrix
libdir = os.path.dirname(os.path.realpath(__file__))
try:
libfile = glob.glob('{}/liblinalg_kernels*.so'.format(li... |
import sys
import subprocess
import logging
from pathlib import Path
import numpy as np
from types import SimpleNamespace
import io
from contextlib import redirect_stdout
from PyQt5 import QtGui, QtWidgets, QtCore
from PyQt5.QtCore import Qt, QObject, pyqtSlot, QThread, pyqtSignal, QLocale
from PyQt5.QtGui import QIco... |
#!/usr/bin/env python3
"""
"""
import pytorch_lightning as pl
from torch import optim
from argparse import ArgumentParser
import torch
import numpy as np
from sklearn.linear_model import LogisticRegression
from sklearn import metrics
import torch_optimizer
from sklearn.neighbors import NearestCentroid
from learn2lea... |
import numpy as np
import matplotlib.pyplot as plt
import time
import scipy.io as scio
import os
import pygame
import signal
import torch
from torch.utils.tensorboard import SummaryWriter
writer = SummaryWriter('./TD3_based_DRL/checkpoints/log')
seed = 2
np.random.seed(seed)
torch.manual_seed(seed)
torch.backends.... |
<filename>modules/analysis/molecule.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
################################################################################
#
# ChemPy - A chemistry toolkit for Python
#
# Copyright (c) 2010 by <NAME> (<EMAIL>)
#
# Permission is hereby granted, free of charge, to any person ... |
<filename>simulation/simulation_tracing.py
import numpy as np
from scipy import spatial
#SIMULATION PARAMETERS
p_init = 0.05 #fraction of infected people at the beginning of the simulation
r_cont = 3 #radius of transmission in pixels (0-100)
p_cont = 0.6 #probability of transmission
p_heal = 0.8 #propa recovering n... |
<gh_stars>0
import numpy as np
import matplotlib.pyplot as plt
import h5py
from scipy.integrate import quad
import matplotlib.animation as animation
# =============================================================================
# Plot results
# ========================================================================... |
from scipy.optimize import brent, brentq
from .lattice import ele_bounds
def autophase_and_scale(impact_object,
phase_ele_name=None,
phase_attribute='theta0_deg',
scale_ele_name=None,
scale_attribute='rf_field_scale',
phase_r... |
<filename>broadspectrum/fit2.py
from __future__ import division
import math
import os
import sys
import time
import numpy as np
import scipy.stats
from scipy.optimize import curve_fit
from math import log10
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from scipy import pi as nombrepi
##### Lecture du fic... |
import support.classes as classes
import numpy as np
import scipy
from scipy import stats
class LgstReg(classes.Data):
def __init__(self, dinfo):
'''
Given data with X_tr, X_te, y_tr, y_te, we
initialize a model object with loss functions, gradients,
Hessians, etc., as well as an ... |
import numpy as np
from scipy import stats
from sklearn.metrics import pairwise_distances
from sklearn.preprocessing import normalize
from .DATE import DATESampling
from .badge import init_centers
from utils import timer_func
class bATESampling(DATESampling):
""" bATE strategy: Our proposed model for better explo... |
<gh_stars>1-10
import matplotlib.pyplot as pyplot
import scipy.misc as sm
import numpy as np
import cv2 as cv
import os
import sys
from scipy.spatial import distance
import scipy.io as sio
from tqdm import tqdm
import copy
path=os.path.dirname(os.getcwd()+"/code_material_python")
sys.path.append(path)
from helper impo... |
<reponame>ColdMatter/PhotonBEC
#Utilities for data analysis on Photon BEC experiment
#heavily added to and some names changed by JM 1/4/2014
from socket import gethostname
import time, datetime
import os
import csv
import json
from pylab import *
from scipy.interpolate import interp1d
from scipy import constants
from n... |
# Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
from typing import Tuple, Union
import scipy.stats
import numpy as np
from ...core.interfaces import IModel, IDifferentiable
from ...core.acquisition import Acquisition
class ExpectedImprovement(Acquisi... |
# The application object sets up and provides access to the facenet neural network interfaces
import numpy as np
import tensorflow as tf
from facenet.src.align import detect_face
from models import Face, db
from facenet.src import facenet
from scipy import misc
class Application:
def detect_faces(self, img):
... |
<filename>hkdataminer/lumping/apm_.py<gh_stars>1-10
__author__ = 'stephen'
# ===============================================================================
# GLOBAL IMPORTS:
import os, sys
import time
import scipy.sparse.linalg
import numpy as np
# ======================================================================... |
<filename>lfd/rapprentice/eq_solve_exps.py
import h5py
import numpy as np
import scipy.sparse, scipy.sparse.linalg
import IPython as ipy
import pycuda.gpuarray as gpuarray
import pycuda.autoinit
import scikits.cuda.linalg as culinalg
from lfd.rapprentice.culinalg_wrappers import dot
culinalg.init()
@profile
def test... |
<filename>analysis_scripts/prose_CCLE_UMAP.py
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 6 18:54:13 2021
@author: <NAME>
"""
import prose as pgx
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import seaborn as sns
import numpy as np
import itertools
import glob... |
import os
from PIL import Image
import numpy as np
import h5py
import tensorflow as tf
import scipy.misc
import time
#压缩图片,把图片压缩成64*64的
def resize_img():
dirs = os.listdir("split_pic//6")
for filename in dirs:
im = tf.gfile.FastGFile("split_pic//6//{}".format(filename), 'rb').read()
# print("正在处理第%d张照片"%counter)... |
import numpy as np
import cv2
import scipy.misc
import os
cap = cv2.VideoCapture(1)
faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
name = 'Julius'
count = 0
path = os.getcwd() + '/dataperson/' + name
if not os.path.exists(path):
os.makedirs(path)
while(True):
ret, frame = cap.re... |
import numpy as np
import json
import os
import skimage
from scipy.io import loadmat
from skimage.io import imread
from skimage.transform import resize
from transforms3d.quaternions import quat2mat, mat2quat
from transforms3d.euler import euler2mat, mat2euler
from math import atan2
import random
def rgb_to_hsv(rgb):
... |
<reponame>eda-ricercatore/bibtex-analytics
#!/Library/Frameworks/Python.framework/Versions/3.6/bin/python3
### /usr/bin/python
### /Library/Frameworks/Python.framework/Versions/3.6/bin/python3
### #!/usr/bin/python -mtimeit
"""
This Python script is written by Zhiyang Ong to incrementally
test features for perform... |
import autograd.numpy as np
import scipy.linalg as lg
from scipy.stats import multivariate_normal
from autograd import value_and_grad
from autograd import grad as automatic_grad
from scipy.optimize import minimize
from tools import create_splits
def compute_h(kernel,base_density, Y, K_X):
# computes the vector ... |
# Neural Net Average Derivative Monte Carlo Simulations
# 0. Importing modules
import numpy as np
import matplotlib.pyplot as plt
from joblib import Parallel, delayed, dump
import scipy
import scipy.stats
import scipy.special
import torch
import torch.nn as nn
from itertools import chain, combinations
from itertools i... |
import os
import pickle
import numpy as np
from utils.topology import NetworkTopology, get_msg_graph
from model.block_gibbs import BlockGibbs
from model.hmc import HMC
from model.min_cut import MinCut
from scipy.sparse import coo_matrix
import argparse
def mkdir(dir_name):
if not os.path.exists(dir_name):
os.mak... |
<filename>utils.py
import matplotlib.pyplot as plt
import numpy as np
import scipy
from scipy import io as sio
from sklearn import preprocessing
from sklearn.cluster import KMeans
def normalize(data):
meanv = np.mean(data, axis=0)
stdv = np.std(data, axis=0)
delta = data - meanv
data = d... |
from itertools import count, islice
from fractions import Fraction
from functools import lru_cache, reduce
from math import sqrt, floor
import operator
memoize = lru_cache(maxsize=None)
@memoize
def is_prime(n):
"""Return True if n is a prime number (1 is not considered prime)."""
# Inspired by https://github... |
# Copyright (C) 2017 Beijing Didi Infinity Technology and Development Co.,Ltd.
# All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICE... |
<gh_stars>1-10
"""
JMOSS Air Data Utilities
Written by <NAME>, <NAME>
Based on:
Jurado, <NAME>., and <NAME>. "Complete Online Algorithm for
Air Data System Calibration." Journal of Aircraft 56.2 (2019): 517-528.
Erb, <NAME>. "Pitot-Statics Textbook." US Air Force Test Pilot School, Edward... |
<filename>RoboFace17_Final_Version/Lip_Trajecory.py
# coding: utf-8
# In[2]:
import numpy as np
import matplotlib.pyplot as plt
from scipy.io import wavfile
from scipy.ndimage.filters import maximum_filter1d,gaussian_filter
from scipy.signal import argrelextrema
from threading import Thread
import os
# In[3]:
def... |
#!/usr/bin/python3
import numpy as np
import scipy.interpolate
from .parent_function import ParentFunction
class NonUniformBSpline(ParentFunction):
def __init__(self, p, xi, k=None, nu=0):
if k is None:
super().__init__(nu)
fakeXi = np.hstack([p * [xi[0]], xi, p * [xi[-1]]])
fakeC = np.zeros(... |
<reponame>Mecanon/morphing_wing
# -*- coding: utf-8 -*-
"""
Created on Wed Jul 06 12:33:31 2016
@author: <NAME>
"""
import math
import datetime
import time
import pickle
import numpy as np
from scipy import polyfit, polyval
from scipy.interpolate import interp1d
import matplotlib.pyplot as plt
from xfoil_module impor... |
"""Module for calibrating the double spike composition."""
import numpy as np
from scipy.optimize import minimize
from .isodata import normalise_composition, realproptoratioprop, ratioproptorealprop
from .errors import calcratiocov
def spike_calibration(
isodata, spike_measurement, mixture_measurement, isoinv=No... |
from numpy.lib.function_base import percentile
from .base import SparseEncoderBase
from scipy import sparse as sps
from typing import List
from numbers import Number
import numpy as np
class BinningEncoder(SparseEncoderBase):
"""The class to one-hot encode a List of numerical values into a sparse matrix represent... |
import sympy as sp
import numpy as np
from sympy import Matrix, Array, shape,symbols, diff, sin, cos, tan, sinh, tanh, acos, atan, sqrt, limit, oo, ln, evalf
#importing the previous module
import CalculationsForEinsteinTensor as ein
from TensorModule import *
from CoordinateSystems import *
import matplotlib... |
<reponame>TXM-DOOM/B.Tech-CSE-Y2<filename>intro-AI/theory/revision/1.2 - crowdComputingFinal.py
import pandas as pd
import math
import statistics
def trimList(ls, updatedLen):
trimmedList = ls[trimVal:updatedLen]
return trimmedList
def calculateDelta(ls, count):
delta = abs(count - statistics.mean(ls))
... |
#this script is used to fit the full SP2 scattering signal of real particles
#when run for non-incandescent reals this gives a set of data that can be used to set the fixed LEO fit parameters (width and centre position) over time
import sys
import os
import datetime
import pickle
import numpy as np
import matplotlib.... |
from scipy.sparse import csr_matrix
from .text import WordPieceParser
from collections.abc import Mapping, Iterable
class RecordVectorMap(Mapping):
def __init__(self, records, wp_model_path, vec_format='bag-of-words'):
text_parser = WordPieceParser(wp_model_path)
self.rec_seq_map, self.reco... |
# Copyright (c) 2015 MaxPoint Interactive, Inc.
#
# 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 code must retain the above copyright notice, this list of conditi... |
<reponame>simonchamorro/pyro
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 24 13:05:15 2020
@author: alex
"""
##############################################################################
import numpy as np
from scipy.linalg import solve_continuous_are
######################################... |
import numpy as np
import attr
from .sampler import Sampler
from scipy.optimize import differential_evolution
@attr.s
class DifferentialEvolution(Sampler):
samples = attr.ib(default=100, converter=int)
popsize = attr.ib(default=15, converter=int)
def run(self):
bounds = [b for b in self.bounds.val... |
<filename>5-fold/PR-5fold.py
import os
import time
import numpy as np
import pandas as pd
import csv
import math
import random
from sklearn.model_selection import KFold,StratifiedKFold
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
from sklearn.metrics import c... |
<filename>day_19/part_2/main.py
from __future__ import annotations
import dataclasses
import functools
import itertools
import timeit
from typing import Generator
import fire
import numpy as np
from pipe import select, where
from scipy.spatial.distance import cityblock
from scipy.spatial.transform import Rotation
fro... |
# Module to test Expressions
#-------------------------------------------------------------------------------
import pytest
import math
import numpy as np
import scipy.stats
import sympy
import probayes as pb
#-------------------------------------------------------------------------------
VALUE_TESTS = [(4,), ((2, 3)... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Python version
import sys
print('Python: {}'.format(sys.version))
# scipy
import scipy
print('scipy: {}'.format(scipy.__version__))
# numpy
import numpy
print('numpy: {}'.format(numpy.__version__))
# matplotlib
import matplotlib
print('matplotlib: {}'.format(m... |
<gh_stars>1-10
# -*- coding: utf-8 -*-
import warnings
import functools
import numpy as np
import pandas as pd
import sklearn.cluster
import sklearn.mixture
import sklearn.decomposition
import scipy.spatial
import scipy.linalg
def cluster(data, method="kmeans", n_clusters=2, random_state=None, **kwargs):
"""Perfo... |
#!/usr/bin/python
"""
Perform HI survey Fisher forecast based on Pedro's formalism (see notes from
August 2013).
Requires up-to-date NumPy, SciPy (tested with version 0.11.0) and matplotlib.
A number of functions can optionally use MPI (mpi4py).
(<NAME> & <NAME>, 2013--2014)
"""
import numpy as np
import scipy.inte... |
<reponame>pauldmccarthy/fsleyes
#!/usr/bin/env python
#
# compare_images.py - compare two images
#
# Author: <NAME> <<EMAIL>>
#
import sys
import numpy as np
import scipy.ndimage as ndi
import matplotlib.image as mplimg
def compare_images(img1, img2, threshold):
"""Compares two images using the euclid... |
# -*- coding: utf-8 -*-
from __future__ import print_function
import numpy as np
from scipy.integrate import ode, odeint
import scipy.optimize as optimize
from ipydex import IPS
class Simulator(object):
"""
This class simulates the initial value problem that results from solving
the boundary value proble... |
from hydroDL import kPath, utils
from hydroDL.app import waterQuality
from hydroDL.master import basins
from hydroDL.data import usgs, gageII, gridMET, ntn
from hydroDL.master import slurm
from hydroDL.post import axplot, figplot
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import os
import js... |
import os
import numpy as np
import matplotlib.pyplot as plt
from scipy import ndimage
from scipy.special import jn
from scipy.integrate import quad
from astropy.io import fits
from scipy.signal import fftconvolve as convolution
from math import ceil
def I_airy(u,epsilon):
#Intensity of Airy pattern
#I_airy =... |
# -*- coding: utf-8 -*-
from os.path import dirname, abspath
from math import sqrt
import numpy as np
from scipy.stats import spearmanr, pearsonr
from scipy.spatial.distance import cosine
import matplotlib
matplotlib.use('Agg') # Must be before importing matplotlib.pyplot or pylab! Needed for calculations on server.... |
#%%
import numpy as np
import ansatz_class_package as acp
import pauli_class_package as pcp
import hamiltonian_class_package as hcp
import matrix_class_package as mcp
import post_processing as pp
import scipy as scp
import scipy.io
import qutip
import plotting_package as plotp
import pickle
import os
if not os.p... |
import numpy as np
import matplotlib.pyplot as plt
from scipy import special as sp
from constants import eps_0, mu_0, c
import space
import source
import dielectric
import measurement
def experiment(J0, eps_r, start_time, simulation_time):
d = 0.05
# PEC box parameters
x_length, y_length = 0.5, 0.5 # [m]... |
<reponame>yourmoonlight/maro
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import os
from statistics import mean
import numpy as np
from maro.simulator import Env
from maro.rl import AgentManagerMode, Scheduler, SimpleActor, SimpleLearner
from maro.utils import LogFormat, Logger, convert_d... |
import numpy as np
from scipy.optimize import fsolve
####
# NB: d0 is distance projected on Galactic plane
##### to change between different coordinate systems: polar, cartesian, lon/lat/dist
def rt2xy(rad, theta):
x = -rad * np.sin(theta)
y = rad * np.cos(theta)
return x, y
def rt2lond0(rad,theta,R0):
... |
import sys
import sacrebleu
from eval_sacrebleu import tokenize_sentence, raw_corpus_bleu, raw_corpus_chrf
from scipy.stats import ttest_ind
if __name__ == '__main__':
ref = open(sys.argv[1]).readlines()
hyp1 = open(sys.argv[2]).readlines()
hyp2 = open(sys.argv[3]).readlines()
# Lower evaluation
... |
<reponame>CoyoPartners/forestplanner
from trees.models import Stand, ForestProperty, IdbSummary, Strata, FVSAggregate
from django.contrib.gis.gdal import DataSource
from django.contrib.gis.gdal.error import OGRIndexError
from django.conf import settings
from madrona.common.utils import get_logger
from django.db.models ... |
<filename>pymanopt/manifolds/special_orthogonal_group.py
import numpy as np
import scipy.special
from pymanopt.manifolds.manifold import RiemannianSubmanifold
from pymanopt.tools.multi import (
multiexpm,
multilogm,
multiqr,
multiskew,
multisym,
multitransp,
)
class SpecialOrthogonalGroup(Rie... |
#!/usr/bin/env python
"""
Classes and functions for image correlation.
Hazen 07/09
"""
import math
import matplotlib
import matplotlib.pyplot as pyplot
import numpy
import scipy
import scipy.optimize
import scipy.signal
import storm_analysis.sa_library.gaussfit as gaussfit
class ImageCorrelationException(Exception)... |
from concurrent.futures import ProcessPoolExecutor
import copy
import logging
import os
import cupy
import cupyx.scipy.special
import numpy
import scipy.linalg
import scipy.sparse.linalg
from numba import jit, prange
from models.base_separator import (BaseSeparator, UnknownNdarrayModuleError,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.