text string |
|---|
<reponame>anze-gn/CBLBs<filename>cblb/run_ode_model_clb.py
import os
from scipy.integrate import ode
import matplotlib.pyplot as plt
from models import *
from parameters import *
"""
[[(S1, I1)], []]
"""
"""
states = [([0,0], [0,0,0,0]), ([0,0], [1,0,0,0]),
([1,0], [0,0,0,0]), ([1,0], [0,1,0,0]),
... |
<reponame>Yomguithereal/twembeddings
# -*- coding: utf-8 -*-
import argparse
import logging
import pandas as pd
from .embeddings import TfIdf, W2V, BERT, SBERT, Elmo, ResNetLayer, DenseNetLayer, USE
from scipy.sparse import issparse, save_npz, load_npz
import numpy as np
import os
import re
import csv
from unidecode im... |
#
# Measure Diversity
#
# <NAME>, August 9, 2020
#
# Diversity is the number of different types of ash observed.
#
# (1) For each of the four layers, for each generation, calculate
# the diversity of the elite sample as a whole, averaging over
# the 12 runs. Sample size is num_runs = 12. This is a kind
# of p... |
<gh_stars>1-10
#!/usr/bin/env python
# coding: utf-8
# # notebook: interactive analysis with jupyter notebook, napari, scikit-image, and scipy
#
# ## Overview
# In this activity, we will perform spot detection on some in situ sequencing data ([Feldman and Singh et al., Cell, 2019](https://www.cell.com/cell/fulltext/S... |
<reponame>kpessa/matplotlib-challenge<filename>Pymaceuticals/src.py
# Dependencies and Setup
import matplotlib.pyplot as plt
import pandas as pd
import scipy.stats as st
import numpy as np
import seaborn as sns
from matplotlib import cm
import ipywidgets as widgets
import importlib
import ipywidgets as widgets
import ... |
# Code for soft DTW is by <NAME> under Simplified BSD license
import numpy
from scipy.optimize import minimize
from tslearn.utils import to_time_series_dataset, check_equal_size, \
to_time_series
from tslearn.preprocessing import TimeSeriesResampler
from tslearn.metrics import SquaredEuclidean, SoftDTW
from .uti... |
import os
from pathlib import Path
import pyrefinebio
import statistics
import pandas as pd
import numpy as np
import seaborn as sns; sns.set_theme(color_codes=True)
import IPython
df1=pd.read_csv('a/file/path/only/I/have/SRP070849.tsv', sep='\t')
mdf=pd.read_csv('a/file/path/only/I/have/SRP070849_metadata.tsv', sep='\... |
import scipy
import numpy as np
import statsmodels.api as sm
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.ticker import EngFormatter
class FrequencyPlot:
def __init__(
self,
sample_rate = 48000,
num_fft = 8192,
smoothing_amount = 0.002,
... |
<gh_stars>10-100
# SIR model example for python 2.7
# <NAME> (<EMAIL>)
# <NAME> (<EMAIL>) -7-9-17
#### Import all the packages ####
import scipy.optimize as optimize
import numpy as np
import matplotlib.pyplot as plt
import scipy.stats as stats
import sir_ode
import sir_cost
import minifim
import proflike
from scipy.... |
<filename>pyiron_contrib/protocol/compound/tild.py<gh_stars>0
# coding: utf-8
# Copyright (c) Max-Planck-Institut für Eisenforschung GmbH - Computational Materials Design (CM) Department
# Distributed under the terms of "New BSD License", see the LICENSE file.
from __future__ import print_function
from pyiron_contrib... |
<gh_stars>1-10
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Fri May 18 15:04:43 2018
Code to represent the Private Flux Region
@author: max
"""
from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
from scipy.interpolate import griddata, UnivariateSpline
from scipy.constan... |
# coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# 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/LICENSE-2.0
#
# Unless required by applicab... |
from datetime import date
from pydap.client import open_url
import numpy
import numpy as N
def explore():
d = open_url('http://ourocean.jpl.nasa.gov:8080/thredds/dodsC/g1sst/sst_20130526.nc')
##v = d["SST"]
##
##v["lon"]
##
##v["SST"].shape
##
##s = v["SST"]
##
##print
##... |
from __future__ import absolute_import, division, print_function, unicode_literals
from shutil import copyfile
import numpy as np
from scipy.signal import lfilter, bessel, butter, lfiltic
from datutils.utils import read_metadata, write_metadata, BUFFER_SIZE
def datfilt(dat, channels, out, order, highpass, lowpass, fi... |
from itertools import chain
from sympy import *
from sympy.logic.boolalg import conjuncts, to_cnf
from utils import *
class PropositionalKB:
def __init__(self, sentence=None):
self.game_map = None
self.map_objects = None
self.clauses = []
if sentence:
self.tell(sent... |
import sys
sys.path.insert(0, '../')
import numpy as np
from jax.experimental import optimizers
import matplotlib.pyplot as plt
from matplotlib.colors import hsv_to_rgb, rgb_to_hsv, ListedColormap
from scipy.interpolate import interp1d
import time
from sde_gp import SDEGP
import approximate_inference as approx_inf
impo... |
<reponame>zblanks/water_pumps
from jax import random, vmap
from jax.example_libraries.optimizers import adam
import jax.numpy as jnp
import numpy as np
import numpy.typing as npt
import numpyro
import numpyro.distributions as dist
from numpyro.infer import SVI, Trace_ELBO
from numpyro.infer.autoguide import AutoNormal
... |
<filename>TDSS_VarStar_Vi.py
# %load_ext autoreload
# %autoreload 2
import matplotlib
import matplotlib.style as mplstyle
matplotlib.use('TkAGG')
mplstyle.use('fast')
matplotlib.rcParams['path.simplify'] = True
matplotlib.rcParams['path.simplify_threshold'] = 1.0
matplotlib.rcParams['agg.path.chunksize'] = 10000
imp... |
#ipython --pylab
import scipy
from mpl_toolkits.basemap import Basemap, addcyclic, shiftgrid
from netCDF4 import Dataset
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import pandas
import pylab
Folder = 'results'
species1 = ['Thunnus_obesus', 'Thunnus_albacares', 'Katsuwonus_pelamis... |
<filename>qumquat/measure.py
from .qvars import *
import cmath, math
from random import random
# measure.py
# - dist
# - measure
# - postselect
# - print, print_amp
class Measure:
######################################## Measurement and printing
def dist(self, *exprs, branches=False):
def cast(ex... |
"""Create the hash table.
This program is mainly for the insert function.
"""
import base64
import hashlib
import json
import math
import os
import random
try:
import sympy
except ImportError:
raise ImportError("Dependency sympy is missing. Use 'pip install sympy' to install it.")
import zlib
from typing impor... |
<reponame>wgurecky/bipymc<gh_stars>1-10
from __future__ import print_function, division
from six import iteritems
import h5py
import numpy as np
import scipy.stats as stats
from bipymc.util import var_ball
class McmcChain(object):
"""!
@brief A simple mcmc chain with some helper functions.
"""
def __i... |
<reponame>kilianFatras/unbisad_minibatch_sinkhorn_GAN<gh_stars>1-10
import numpy as np
import matplotlib.pylab as pl
import ot
import ot.plot
from itertools import combinations, chain
from scipy.special import comb
##############################################################
# Update transportation matrix
#########... |
<reponame>Vinomo4/Cryptography
# **BLOCKCHAIN**
# LIBRARIES
import sympy
import math
import random
import hashlib
import pickle
import time
import numpy as np
from prettytable import PrettyTable
import csv
#-------------------------------------------------------------------------------
# Filepaths
generated_path = "./... |
<reponame>hash2430/pitchtron<gh_stars>100-1000
'''
This inference code normalizes f0 by
1. Subtracting reference f0 mean from reference pitch contour
2. Divide reference pitch contour with reference speaker f0 variance obtained by 'max-min'.
3. Multiply reference pitch contour with target speaker f0 variance
4. Ad... |
<gh_stars>0
"""
povm.py
Class for the POVM object
Basic Principles:
-----------------
1. Indexing is by input state
2. Mean of the generating distribution is the "central state"
3.
"""
import numpy as np
from scipy.stats import binom
NUM_DIMS = 5 # Number of dimensions
class POVM(object):
de... |
<gh_stars>0
def rotationSum(a_z1, a_z2, a_x, b_z1, b_z2, b_x):
from pytom.angles.angleFnc import zxzToMat, matToZXZ
m1 = zxzToMat(a_z1, a_z2, a_x)
m2 = zxzToMat(b_z1, b_z2, b_x)
ms = m2*m1
if ms[2,2] > 1:
ms[2,2] = 1.0
elif ms[2,2] < -1:
ms[2,2] = -1.0
... |
<gh_stars>0
import nmrpy.data_objects
import logging, traceback
import numpy
import scipy
from matplotlib import pyplot as plt
import numbers
from datetime import datetime
from matplotlib.figure import Figure
from mpl_toolkits.mplot3d import Axes3D
from matplotlib.collections import PolyCollection
import copy
from mat... |
import json
import math
import os
import random
import sys
import time
import warnings
from functools import reduce
from itertools import combinations, product
from operator import add
from typing import List, Sequence, Union
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import pretty_errors
i... |
<filename>rlmbm.py
#simulation of Riemann-Liouville Multi-fractional Brownian Motion (RLMBM) from
#'Modelling of locally self-similar processes using multifractional Brownian motion of Riemann-Liouville type' by <NAME> and <NAME> (2001), Phys. Rev. E 63, 046104
#<NAME> 3.5.2020
import numpy as np
from scipy.special i... |
import scipy
import scipy.io as spio
import numpy as np
def loadmat(filename):
'''
this function should be called instead of direct spio.loadmat
as it cures the problem of not properly recovering python dictionaries
from mat files. It calls the function check keys to cure all entries
which are sti... |
import unittest
from functools import partial
from scipy import stats
import numpy as np
from pyapprox.mixture_model import \
get_leja_univariate_quadrature_rules_of_beta_mixture, sample_mixture, \
get_mixture_sparse_grid_quadrature_rule, \
get_mixture_tensor_product_gauss_quadrature, \
compute_grammia... |
import numpy as np
import torch
from sklearn.metrics import confusion_matrix, f1_score
from scipy.stats import pearsonr
from thop import profile
def convert2class(out):
if out < 0:
return -1
elif out > 0:
return 1
else:
return 0
def convert7class(out):
return np.clip(np.rint(... |
###############################################################################
# WaterTAP Copyright (c) 2021, The Regents of the University of California,
# through Lawrence Berkeley National Laboratory, Oak Ridge National
# Laboratory, National Renewable Energy Laboratory, and National Energy
# Technology Laboratory ... |
"""
This file will contain the class for tracking metrics of the system
"""
import os
import torch
import numpy as np
import scipy.io as sio
class MonitoringMultiAgentPerformance:
def __init__(self, config):
'''
Init a new performance tracker
Args:
config: global config
... |
import statistics
def calculate_everything(arg):
average = statistics.mean(arg)
minimum = min(arg)
maximum = max(arg)
standard_deviation = statistics.pstdev(arg)
return [average, minimum, maximum, standard_deviation]
def make_list(messages):
n_list = []
while True:
input_number ... |
<filename>TAD_Calling_By_Ratio.py
# -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import os
import sys
import numpy as np
import pandas as pd
#import seaborn as sns
from scipy.signal import find_peaks
#from scipy.signal import argrelextrema
directory = str(sys.argv[1])
ou... |
<filename>utils/speedtest.py
import math
import statistics
import time
import requests
CF_DOWNLOAD_ENDPOINT = "https://speed.cloudflare.com/__down?measId=0&bytes={}"
CF_UPLOAD_ENDPOINT = "https://speed.cloudflare.com/__up?measId=0"
REQ_SESSION = requests.Session()
def get_server_timing(server_timing: str) -> float:... |
#!/usr/bin/env python3
import numpy as np
from scipy import sparse
from scipy.sparse import issparse
from sklearn.compose import ColumnTransformer
from joblib import Parallel
from sklearn.utils.fixes import np_version, parse_version, delayed
from sklearn.base import clone
from sklearn.utils.validation import check_a... |
<filename>hyperion/transforms/cent_whiten_up.py
"""
Copyright 2018 Johns Hopkins University (Author: <NAME>)
Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""
import numpy as np
import h5py
import scipy.linalg as la
from ..hyp_model import HypModel
from ..pdfs import Normal
from .cent_whiten import Cen... |
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""
The modelgen module provides classes for specifying designs for individual
subject analysis of task-based fMRI experiments. In particular it also includes
algorithms for generating regressors for sparse... |
"""
PySurf Module:
Validation and Training of Interpolators
Provide infrastructure for the training of interpolators
and test them against a validation set
"""
import numpy as np
from scipy.optimize import minimize
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from pysurf.database import... |
<reponame>n3011/deepchem<gh_stars>1-10
"""
Computes putative binding pockets on protein.
"""
from __future__ import division
from __future__ import unicode_literals
__author__ = "<NAME>"
__copyright__ = "Copyright 2017, Stanford University"
__license__ = "MIT"
import os
import logging
import tempfile
import numpy as ... |
from __future__ import division, print_function, absolute_import
from numpy.testing import run_module_suite, assert_equal
import scipy.constants as sc
def test_fahrenheit_to_celcius():
assert_equal(sc.F2C(32), 0)
assert_equal(sc.F2C([32, 32]), [0, 0])
def test_celcius_to_kelvin():
assert_equal(sc.C2K([... |
<filename>Jupyter_notebook/dvv_module.py
import os
import glob
import copy
import obspy
import scipy
import time
import pycwt
import pyasdf
import datetime
import numpy as np
import pandas as pd
from numba import jit
from scipy.signal import hilbert
from obspy.signal.util import _npts2nfft
from obspy.signal.invsim impo... |
<reponame>dearkafka/inferno<gh_stars>0
try:
import tensorflow as tf
except ImportError:
tf = None
try:
import matplotlib.pyplot as plt
except ImportError:
plt = None
import numpy as np
from scipy.misc import toimage
from .base import Logger
from ....utils import torch_utils as tu
from ....utils import... |
# Author: <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
#
# License: BSD 3 clause
from sklearn.base import BaseEstimator
from scipy.sparse.csr import csr_matrix
from sklearn.neighbors import NearestCentroid, nearest_centroid
from sklearn.metrics.pairwise import pairwise_distances
import numpy as np
from scipy import spa... |
<reponame>ygCoconut/MRIreconUNET<gh_stars>1-10
# Train with MRI Cine Data with 20 Channels
# Date: 2nd April 2019
# Contact <NAME> at <EMAIL>
import os
import time
import numpy as np
import keras
from keras import backend as K
import pylab
import matplotlib.cm as cm
import keras.layers
import tensorflow as tf
from k... |
<reponame>tejas-9er/SVM-vs-LSSVM<filename>Iris Benchmarks/LSSVM.py<gh_stars>1-10
import numpy as np
import scipy
from scipy.sparse import linalg
from sklearn.metrics import accuracy_score
class LSSVM:
def __init__(self, kernel = 'linear', C = 1.0,gamma = 1.0, d = 2.0):
kernels = {
'rbf':self.rb... |
<reponame>aahmadian-liu/ood-likefree-invertible<filename>Codes/Resflow_Procs/preprocessing/create_imagenet_benchmark_datasets.py
"""
Run the following commands in ~ before running this file
wget http://image-net.org/small/train_64x64.tar
wget http://image-net.org/small/valid_64x64.tar
tar -xvf train_64x64.tar
tar -xvf ... |
<reponame>cristobaltapia/sajou
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
import scipy.sparse as sparse
class CoordSys(object):
"""Class implementing coordinating systems
Parameters
----------
type: str
type of the coordinate system
- 'cartesian'
- 'cyl... |
#!/usr/bin/env python
import sys
import re
import math
import numpy as np
import io
from JMLUtils import eprint
import scipy.stats
DEFAULT_RADIUS = 2.5
def main():
if not sys.argv or len(sys.argv) < 3:
# TODO: Restore effective scriptiness (i.e. all arguments).
eprint("Must have two arguments (p... |
<filename>preprocess_msra/preprocess.py
import os
import numpy as np
import matplotlib.pyplot as plt
import time
import numba as nb
from transform import transform
import pcl
import scipy.io as sio
dataset_dir='../../Hand-Pointnet/data/cvpr15_MSRAHandGestureDB/'
save_dir = '../data/MSRA/msra_process_fullsubvplenpy/'
... |
from os.path import join, isfile, isdir
import os, sys
import datetime, json
import scanpy as sc
def dim_name(mapName, dim):
return mapName + '_' + str(dim+1)
def buildsjson_scRNA_geneExp(output, cohort, label = None, metaPara = None):
fout = open(output +'.json', 'w')
J = {}
J['type'] ='genomicMatrix... |
<reponame>ivan-severin/peaks<gh_stars>0
from __future__ import print_function
import numpy as np
import peakutils
import pylab
from scipy.signal import savgol_filter
class Spetrumn(object):
x = np.array
y = np.array
# Additional data
smooth_y = np.array
baseline = np.array
indexes = np.arr... |
<reponame>iorodeo/water_channel_calcs
"""
inertial_sled_sim.py
Purpose: provides a simulation of the inertial sled system with the goal of
determining the required bandwith for the short range laser distance sensor,
the the required update frequency of the realtime loop and the required motor
performance.
"""
import ... |
<reponame>bmcmenamin/model_wrangler<gh_stars>0
"""End to end testing on autoencoders
"""
# pylint: disable=C0103
# pylint: disable=C0325
# pylint: disable=E1101
import numpy as np
from scipy.stats import zscore
from model_wrangler.model_wrangler import ModelWrangler
from model_wrangler.dataset_managers import Datase... |
<reponame>RichardScottOZ/geoapps<filename>geoapps/simpegPF/PF/GravAnalytics.py
from scipy.constants import G
from ..Utils import mkvc
import numpy as np
def GravSphereFreeSpace(x, y, z, R, xc, yc, zc, rho):
"""
Computing the induced response of magnetic sphere in free-space.
>> Input
x, y,... |
# -*- coding: utf-8 -*-
# Author: <NAME>
# Date: 09-10-2018
"""TopicRank keyphrase extraction model.
Graph-based ranking approach to keyphrase extraction described in:
* <NAME>, <NAME> and <NAME>.
TopicRank: Graph-Based Topic Ranking for Keyphrase Extraction.
*In proceedings of IJCNLP*, pages 543-551, 2013.
"""... |
from __future__ import division, print_function
import time
from abc import ABCMeta,abstractmethod
import numpy as np
from numpy.lib.stride_tricks import sliding_window_view
from scipy.fftpack import fft, fftfreq, ifft, next_fast_len
from scipy.signal import hilbert
from scipy.interpolate import RectBivariateSpline
... |
from scipy.spatial.distance import cdist
import matplotlib.pyplot as plt
from PIL import Image
import numpy as np
from glob import glob
import argparse
import time
import os
parser = argparse.ArgumentParser()
parser.add_argument("--clusters", type=int, default=4, help="Number of clusters")
parser.add_argument("--gam... |
<filename>models/GloVe/glove_clean_tfidf.py<gh_stars>0
import os
import string
import json
import requests
import pandas as pd
import numpy as np
from scipy import spatial
import nltk
nltk.download('punkt')
nltk.download('stopwords')
nltk.download('wordnet')
from nltk.tokenize import word_tokenize
from ... |
#!/usr/bin/env python3
'''
Author: <NAME>
Email: <EMAIL>
'''
from typing import List, Tuple
import numpy as np
from scipy.optimize import linear_sum_assignment
from .agent import Agent
# 这个文件两个函数的作用一致，就是为不同的车指派不同的终点。一种是用匈牙利算法进行指派，一种则是贪心搜索最近终点。
# Hungarian algorithm for global minimal cost 匈牙利算法
def min_cost(starts... |
<reponame>LBJ-Wade/SPT_SZ_cluster_likelihood
from __future__ import division
import numpy as np
import os
import imp
from multiprocessing import Pool
import scipy.ndimage
from scipy.stats import norm
from scipy.interpolate import RectBivariateSpline
from astropy.table import Table
from cosmosis.datablock import option... |
from PIL import Image
import glob
import numpy as np
import scipy.stats
import matplotlib.pyplot as plt
d = glob.glob('/Users/vignavramesh/Documents/CT2Xray/tests/ground_truth_masks/*')
for i in d:
im = Image.open(i)
im = im.resize((1024,1024))
im.save(i)
|
import numpy as np
import pandas as pd
from inspect import getmembers, isfunction
from sklearn.utils import check_X_y
from scipy.stats import rankdata
from . import sbfl_formula
class NoFailingTestError(Exception):
"""Raised when there is no failing test (0 not in y)"""
pass
class NotSupportedFormulaError(Exc... |
<reponame>xhulianoThe1/PySpike
""" regression benchmark
Copyright 2015, <NAME> <<EMAIL>>
Distributed under the BSD License
"""
from __future__ import print_function
import numpy as np
from scipy.io import loadmat
import pyspike as spk
from numpy.testing import assert_almost_equal
spk.disable_backend_warning = True... |
<filename>tests/external/plot_conics.py
# Plot conic sections using the below code
# Plots implicit equations in a graph
import matplotlib as mpl
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import scipy as sp
mpl.rcParams['lines.color'] = 'k'
mpl.rcParams['axes.prop_cycle'] = mpl.cycler('col... |
<reponame>taekyulee/flip
import numpy as np
from scipy.stats import pareto
import matplotlib as mpl
import matplotlib.pyplot as plt
import preprocessing as prep
import pdfplot as pdfplt
import kldplot as kldplt
name = "basic-pareto"
dir = "../../../flip-bench/experiments/basic-pareto/"
def data_loc(i):
return dir... |
<reponame>pygae/galgebra
import sys
import pytest
from sympy import symbols, sin, cos, Rational, expand, collect, simplify, Symbol, Add, S, eye
from galgebra.printer import Format, Eprint, latex, GaPrinter
from galgebra.ga import Ga
from galgebra.mv import Mv, Nga
# for backward compatibility
from galgebra import ga, m... |
<reponame>benjaminleroy/smooth_rf<filename>smooth_rf/smooth_level.py
import pandas as pd
import numpy as np
from sklearn.manifold import TSNE
import sklearn
import sys, os
import matplotlib.pyplot as plt
import scipy
import progressbar
import sparse
import scipy.sparse
from collections import Counter
import sklearn
imp... |
<gh_stars>1-10
import sympy as sp
import numpy as np
import pylab as plt
from model import ArmModel
from simulation import Simulation
from projection import TaskSpace, MuscleSpace
from controller import JointSpaceController, TaskSpaceController,\
MuscleSpaceControllerJS, PosturalMuscleSpaceController
from analysis ... |
<reponame>Anthony102899/Lego-ImageGenerator
from bricks_modeling.file_IO.model_reader import read_bricks_from_file
from bricks_modeling.file_IO.model_writer import write_bricks_to_file
from bricks_modeling.connectivity_graph import ConnectivityGraph
from util.debugger import MyDebugger
from bricks_modeling.connections.... |
<filename>control/matlab/wrappers.py
"""
Wrappers for the MATLAB compatibility module
"""
import numpy as np
from ..statesp import ss
from ..xferfcn import tf
from ..ctrlutil import issys
from ..exception import ControlArgument
from scipy.signal import zpk2tf
from warnings import warn
__all__ = ['bode', 'nyquist', 'n... |
from typing import Any, Callable, Dict, List, Tuple
import argparse
from itertools import repeat
import json
from pathlib import Path
from pprint import pprint
import numpy as np
import pandas as pd
from scipy.special import expit
from sklearn import metrics
from sklearn.model_selection import RepeatedStratifiedKFold
... |
import pyasdf
import numpy as np
import scipy.fftpack
import matplotlib.pyplot as plt
'''
this script takes a chunk of noise spectrum for a station pair and
compare their cross-correlation functions computed using two schemes:
one is averaging the frequency domain and the other is in the time
domain
'''
def cross... |
import wx
import numpy as np
from imagepy.core.engine import Tool, Filter
import scipy.ndimage as nimg
class ScaleTool(Tool):
def __init__(self, plg):
self.plg = plg
self.para = plg.para
self.moving = False
def snap(self, x, y, lim):
plg = self.plg
if abs(x-plg.... |
<filename>mgt2001/hyp/non.py
from matplotlib import pyplot as plt
import pandas as pd
import numpy as np
import math
import scipy.stats as stats
def inter_p_value(p_value):
# interpretation
if p_value >= 0 and p_value < 0.01:
inter_p = 'Overwhelming Evidence'
elif p_value >= 0.01 and p_value < 0.0... |
import bpy, math, os, gpu, bgl
import numpy as np
from . import utility
from fractions import Fraction
from gpu_extras.batch import batch_for_shader
def encodeLogLuvGPU(image, outDir, quality):
input_image = bpy.data.images[image.name]
image_name = input_image.name
offscreen = gpu.types.GPUOffScreen(input... |
import aesara
import aesara.tensor as at
import numpy as np
import pytest
import scipy.stats.distributions as sp
from aesara.graph.basic import Apply, ancestors, equal_computations
from aesara.graph.op import Op
from aesara.tensor.subtensor import (
AdvancedIncSubtensor,
AdvancedIncSubtensor1,
AdvancedSubte... |
<reponame>qcgm1978/formula<filename>py/getting_started.py
import unittest,math
from datatype import DataTypes
import numpy as np
from scipy import stats
class TDD_GETTING_STARTED(unittest.TestCase):
def test_mse(self):
a=[1,2,3]
b=[4,5,6]
self.assertRaises(TypeError,DataTypes({'a':a}).getMSE... |
#!/usr/bin/env python
# coding: utf-8
import sys
import numpy as np
import scipy.sparse as sp
from scipy.sparse.linalg import norm
from scipy.io import loadmat, savemat
from nbs_class import Ppi, Patient
from subprocess import call
# import h5py
import os
import glob
import time
import datetime
# NOTE mutationProfileD... |
import astral
import csv
import datetime
import math
import os
import random
import re
import statistics
def load_historical_data_headers():
"""Load the headers for historical weather data."""
with open(os.path.dirname(os.path.realpath(__file__)) + '/../data/1711054.csv') as f:
reader = csv.reader(f)
... |
import unittest
import numpy as np
import scipy
import random
import bayesian_bootstrap.bootstrap as bb
from bayesian_bootstrap.bootstrap import (
mean,
var,
bayesian_bootstrap,
central_credible_interval,
highest_density_interval,
BayesianBootstrapBagging,
covar,
)
from sklearn.linear_model ... |
<gh_stars>1-10
#!/usr/bin/env python3
###############################################################################
# Program: EPI-ClusT.py
# Type: Python Script
# Version: 1.0
# Author: <NAME>
# Description: Empiral Phylogeny Informed Cluster Tool for identifying
# distance thresholds and defining clus... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# ===========================================================
# File Name: MatchingScoreBench.py
# Author: <NAME>, Columbia University
# Creation Date: 01-25-2019
# Last Modified: Mon Apr 15 15:19:28 2019
#
# Description: Matching score benchmark
#
# Copyright (C) 2018 <N... |
<filename>multiclass_classification/cost.py<gh_stars>0
import numpy as np
from scipy.special import expit
def log_cost(theta, x, y_i, hyper_p):
"""
Logistic regression cost function with regularization.
Parameters
----------
theta : array_like
Shape (n+1,). Parameter v... |
from __future__ import division
import os
from collections import OrderedDict
from future.utils import iteritems
import numpy as np
import scipy.stats
from scipy.integrate import cumtrapz
from scipy.interpolate import interp1d
from scipy.special import erf, erfinv
# Keep import bilby statement, it is necessary for s... |
<reponame>BAMresearch/ctsimu-toolbox
# -*- coding: UTF-8 -*-
"""
This module provides classes for the virtual processing of images.
* `Image` reads, stores, writes and handles image data.
* `ImageFile` gathers information about an image file: file name, data type,
byte order. It is used to instruct the `Image.... |
from mnist import MNIST
import matplotlib.pyplot as plt
import numpy as np
import time
import datetime as dt
import sys
#Import datasets, classifiers and performance metrics
from sklearn import datasets, svm, metrics
from scipy.io import loadmat
from sklearn.datasets import fetch_mldata
# import custom module
from Cl... |
"""Imagniary time analytic continuation kernel routines."""
"""
Copyright 2021 <NAME>
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/LICENSE-2.0
Unless required by ... |
import cairo
import numpy as np
import primitives as pm
import geometry as gm
import matplotlib.pyplot as plt
from matplotlib import animation
from collections import deque
import scipy.misc as scm
tmpDir = '/data1/pulkitag/tmp/projPhysics/'
imName = tmpDir + 'im%d.jpg'
##
#Try to paste a ball at a certain location
d... |
<reponame>vdods/vorpy
import itertools
import numpy as np
import os
from .hamiltons_equations import deviation_form
from .kepler_nd import KeplerNd
from .pendulum_nd import PendulumNd
from .results import Results
import scipy.integrate
import vorpy
import vorpy.symplectic_integration
TEST_ARTIFACTS_DIR = 'test_artifac... |
# Starting from ONS dropout data, try to make model predicting proportions of dropouts of ORF1ab (abbreviated to OR), N, S.
# Following on from <NAME>'s analysis at https://theo.io/post/2021-01-22-ons-data/.
# Data from tabs 1a, 1b of spreadsheet here https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialc... |
import pandas as pd
import numpy as np
from scipy import sparse
import scipy as sp
import matplotlib.pylab as plt
# read the interaction matrix
#interaction_sparse_stage = sparse.load_npz('data/interaction_v3.npz')
# interaction_sparse.data = np.nan_to_num(interaction_sparse.data, copy=False)
interactio... |
<reponame>wathen/PhD<filename>MHD/FEniCS/MHD/Stabilised/Precond/MHDstabPrecond.py
import petsc4py
import sys
petsc4py.init(sys.argv)
from petsc4py import PETSc
import numpy as np
from dolfin import tic, toc
import HiptmairSetup
import scipy.sparse as sp
class BaseMyPC(object):
def setup(self, pc):
pass
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Feb 4 20:44:25 2018
@author: hendrawahyu
"""
import cv2
import numpy as np
from scipy.ndimage.filters import convolve, correlate
# =============================================================================
# demosaicking / debayering image using s... |
<filename>spectral_cluster_algo.py
from contextlib import contextmanager
import os, sys
from sklearn.neighbors import NearestNeighbors
import numpy as np
from scipy.stats import norm
import sklearn.metrics
from keras import backend as K
from keras.callbacks import Callback
import tensorflow as tf
from core import co... |
from cvxpy.expressions.variable import Variable
from cvxpy.atoms.suppfunc import SuppFuncAtom
from cvxpy.reductions.cvx_attr2constr import CONVEX_ATTRIBUTES
import numpy as np
from scipy import sparse
def scs_coniclift(x, constraints):
"""
Return (A, b, K) so that
{x : x satisfies constraints}
can... |
<filename>tests/framework/test_randomness_index_map.py
from itertools import chain, combinations, product
import pytest
import numpy as np
import pandas as pd
from scipy.stats import chisquare
from vivarium.framework.randomness import IndexMap, RandomnessError
def almost_powerset(iterable):
"""almost_powerset([... |
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