text string |
|---|
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Implement the explicit finite difference method to calculate the price of
various options
@author: ucaiado
Created on 07/03/2016
"""
# import libraries
import matplotlib.pylab as plt
import math
import numpy as np
import pandas as pd
from scipy import stats
import seabor... |
#!/usr/bin/python
import numpy as np
import random
import rospy
from rbpf_mtt.msg import GMMPoses, ObjectMeasurement
#from rbpf_mtt.rbpf_filter import RBPFMTTFilter
from geometry_msgs.msg import Pose, PoseArray, PoseStamped, PoseWithCovariance, PoseWithCovarianceStamped
from visualization_msgs.msg import Marker, Marke... |
<reponame>jgoodknight/spectroscopy<gh_stars>1-10
# -*- coding: utf-8 -*-
#Gone through for release 10 Feb 2017
import copy
import time
import matplotlib.pyplot as plt
import scipy.integrate
try:
from matplotlib import animation
except:
animation = object() #allows this to still run on clusters without the anim... |
import numpy as np
import pylab as plt
from scipy.special import hankel1
from born_rime.fourier import fourier, ifft_freqs, inv_fourier
def _get_dx(X, i):
i0 = [0] * len(X.shape)
i0[i] = 0
i1 = [0] * len(X.shape)
i1[i] = 1
return X[tuple(i1)] - X[tuple(i0)]
def two_dim_g(k0, X, Y):
r = np.sqr... |
'''
This module contains analysis for a growing network.
'''
import numpy as np
import scipy.optimize as sco
import scipy.stats as scs
import matplotlib as mat
import matplotlib.pylab as plt
import matplotlib.cm as cm
from graph import Graph
import logbin as lb
font = {'size' : 20}
mat.rc('font', **font... |
<gh_stars>1-10
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
# %% [markdown]
# # Process the raw mooring data
#
# Contents:
# * <a href=#raw>Raw data reprocessing.</a>
# * <a href=#corrected>Interpolated data processing.</a>
# * <a href=#ADCP>ADCP processing.</a>
# * <a href=#VMP>VMP processing.</a>
#
# Import the nee... |
import json
import numpy as np
import scipy.io.wavfile as wf
with open('../ml_data/12.json', 'r') as f:
freqs = json.loads(f.read())
tones = [
('G5', 1.5),
('A5', 0.5),
('G5', 1.5),
('E5', 0.5),
('D5', 0.5),
('E5', 0.25),
('D5', 0.25),
('C5', 0.5),
('A4', 0.5),
('C5', 0.75)]
... |
# TEST ON BATCH GRADIENT DESCENT ALGORITHM
# <NAME>, July 2020
import batch_gradient_descent
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy import stats
import os
def get_data():
# Lets try to import our own dataset (otherwise create a default one)
try:
# Current fo... |
import os
import random
import numpy as np
import scipy.io as sio
from tensorflow.keras.utils import to_categorical
def load_data(dataset_dir, subject_n=32, img_size=(8, 9, 8), number_of_inputs=1,
features_type='multi', num_classes=2, frames_per_subject=4800, seed=7):
img_rows, img_cols, num_chan ... |
<reponame>l-modolo/midr
#!/usr/bin/python3
"""Compute the Irreproducible Discovery Rate (IDR) from NarrowPeaks files
This section of the project provides facilitites to handle NarrowPeaks files
and compute IDR on the choosen value in the NarrowPeaks columns
"""
from scipy.stats import rankdata
def benjamini_hochbe... |
<gh_stars>1000+
import copy
import sys
if sys.version_info < (3,):
range = xrange
import numpy as np
import pandas as pd
import scipy.stats as ss
from .. import families as fam
from .. import tsm as tsm
from .. import data_check as dc
from .kalman import *
class LLT(tsm.TSM):
""" Inherits time series method... |
from time import time
import numpy as np
from scipy import ndimage as ndi
from skimage import color, filters, morphology
from sklearn.cluster import dbscan
def intensity_func(img_slice):
norm_gray = np.array(rgb2gray(img_slice / 255.0))
scaled_gray = norm_gray * 255.0
scaled_gray.astype("uint8")
retu... |
<reponame>youbaji/outlier
import numpy as np
import networkx as nx
from scipy.spatial import KDTree
#import pdb
#
#
# implement algorithms in "Outlier Dection Using k-Nearest Neighbour Graph"
#
#
class KnnGraph(object):
def __init__(self, k):
self.k = k
def fit(self, x):
tree = KDTree(x)
... |
<reponame>jna29/SymGP<gh_stars>1-10
import sys
# Add the symgp folder path to the sys.path list
module_path = r'/Users/jaduol/Documents/Uni (original)/Part II/IIB/MEng Project/'
if module_path not in sys.path:
sys.path.append(module_path)
from symgp import SuperMatSymbol, utils, MVG, Variable, SuperDiagMat, Kernel... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import pytest
import dask_image.ndinterp as da_ndinterp
import numpy as np
import dask.array as da
from scipy import ndimage
def validate_rotate(n=2,
axes=(0,1),
reshape=False,
input_output... |
"""
Module for the feature map class
:References:
- <NAME>, <NAME>, <NAME>, <NAME>.
Kernel-based Active Subspaces with application to CFD problems using
Discontinuous Galerkin Method. 2020.
arxiv: https://arxiv.org/abs/2008.12083
"""
from functools import partial
import numpy as np
from scipy.o... |
<gh_stars>0
"""
2015-2016 <NAME> <EMAIL>
"""
import numpy as np
import scipy as sp
from scipy import linalg, sparse
from scipy.sparse import coo_matrix, csr_matrix, csc_matrix, lil_matrix
def csvd(a, r=None):
if r is None or r > min(a.shape):
r = min(a.shape)
u, s, v = np.linalg.svd(a, full_matrice... |
<reponame>dhfbk/ai4eu-competences
from transformers import AutoTokenizer, AutoModel
import torch
from sklearn.metrics.pairwise import cosine_similarity
import tqdm
import time
import argparse
import pandas as pd
import fasttext
import scipy.spatial
import json
from http.server import BaseHTTPRequestHandler, HTTPServer... |
<filename>main_node/repeater/acceptable_error_based.py
from math import exp, sqrt
from core_entities.configuration import Configuration
from core_entities.experiment import Experiment
from repeater.repeater import Repeater
from scipy.stats import t
class AcceptableErrorBasedType(Repeater):
"""
Repeats ea... |
import functions as f
import numpy as np
import cv2
from scipy import ndimage as ndi
#all the video names and the zstack ranges
vidnames = ["040417E10_5_VH5_Het_pos1_tiffseries","04082016_VH5_Het_E10_5_pos2_tiffseries","13012017_E10_5_VH5Het_pos5_tiffseries","16122016_VH5Het_E10_5_pos5_tiffseries","26072016_VH5_Het_E1... |
<filename>pysymoro/robot.py
# -*- coding: utf-8 -*-
# This file is part of the OpenSYMORO project. Please see
# https://github.com/symoro/symoro/blob/master/LICENCE for the licence.
"""
This module of SYMORO package provides description
of the robot parametrizaion container and symbol replacer class.
"""
import r... |
<gh_stars>0
"""
Functions used for distorting images for training
"""
# Import the necessary libraries
import numpy as np
import torch
from scipy.ndimage.filters import gaussian_filter
from PIL import Image
# Import the necessary source codes
from Preprocessing.utils import dct_2d
from Preprocessing.utils import... |
<gh_stars>10-100
import json
import os
import argparse
import scipy.stats as stats
import numpy as np
import pandas as pd
import torch
import random
import sys
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import time
import torch.utils.data as data
from sklearn.model_selection import StratifiedK... |
<reponame>y-jeong/RET-SLR<filename>src/1DNPSLR.py<gh_stars>0
# For each given array geometry, this program calculates the extinction cross section, differential scattering cross section (partially driven array), or multi donor-multi acceptor resonance energy transfer (RET) rate
import numpy as np
import matplotlib.pyp... |
#!/usr/bin/env python3
import numpy as np
import scipy.interpolate
import math
import bdsim
import unittest
import numpy.testing as nt
class BlockTest(unittest.TestCase):
pass
class BlockDiagramTest(unittest.TestCase):
pass
class WiringTest(unittest.TestCase):
def test_connect_1(self):
bd = ... |
<filename>app/main.py
import math
from tkinter import *
from tkinter import messagebox, filedialog
from tkinter.font import Font
from tkinter.ttk import Progressbar
import geopandas as gpd
import numpy as np
import shapefile
from descartes import PolygonPatch
from geopandas import GeoDataFrame, points_from_xy
from matp... |
import argparse
import json
import logging
import os
import os.path as osp
import random
import sys
import time
from collections import Counter
from collections import defaultdict
from collections import namedtuple
import cvxpy as cp
import matplotlib.pyplot as plt
import numpy as np
import torch
from scipy.sparse imp... |
<gh_stars>100-1000
import pdb
import cv2
import torch
import torch.nn.functional as F
import numpy as np
import scipy
from scipy.spatial.distance import cdist
import lap
from cython_bbox import bbox_overlaps as bbox_ious
from core.motion import kalman_filter
import time
def merge_matches(m1, m2, shape):
... |
<gh_stars>0
#!/usr/bin/env python
# coding: utf-8
# In[ ]:
#!/usr/bin/env python
# coding: utf-8
# In[ ]:
#!/usr/bin/env python
# coding: utf-8
# In[ ]:
#Requirements
from __future__ import division
from __future__ import print_function
from operator import itemgetter
from itertools import combinations
from IP... |
<filename>napari_plugin_test/widgets/data_preprocessing.py
#!/usr/bin/env python3
# coding: utf-8
import numpy as np
from magicgui import magic_factory, widgets
from scipy import ndimage
from napari.types import ImageData
@magic_factory
def make_data_preprocessing(
viewer: "napari.viewer.Viewer",
input: ImageD... |
try:
import alpaca_trade_api
except:
print("!pip install PyYAML==5.4.1 --ignore-installed")
print("!pip install alpaca_trade_api")
try:
import stldecompose
except:
print("!pip install scipy==1.2.1")
print("!pip install statsmodels==0.10.2")
print("!pip install stldecompose==0.0.5")
try: ... |
from joblib import Parallel, delayed
from numba import jit
import numpy as np
import openturns as ot
from anastruct.fem.system import SystemElements, Vertex
from scipy.interpolate import CubicSpline
N = ot.Normal(2, 1)
pts_normal_reversed = np.arange(2, 0, -1*(2/50))
pts_normal = np.array(list(map(N.computeCDF, pts_... |
import numpy as np
from scipy.linalg import block_diag
import math
from dynamics import Dynamics
class Quadrotor14D(Dynamics):
def __init__(self, mass, Ix, Iy, Iz, time_step=0.05):
self._mass = mass
self._Ix = Ix
self._Iy = Iy
self._Iz = Iz
super(Quadrotor14D, self).__init_... |
"""Setup component of the game."""
import audioop
import cmd
import socket
import statistics
from collections import namedtuple
from configparser import ConfigParser
from typing import Any, Optional
import cv2
import pyaudio
import serial
from serial.tools.list_ports import comports
from .utils import elicit_float, ... |
<filename>VevoLab Data Extraction Helper.py
# -*- coding: utf-8 -*-
"""
VevoLab Data Extraction Helper
@author: <NAME> (C) 2021
This program will ask the user for exported data from VevoLab as well as
metadata and analysis settings information
inputs...
report_path : a list of the paths to all VevoLab files that con... |
<reponame>GuoshenLi/Machine-Learning-From-Zero-to-Hero<filename>pca/eign_faces.py
import os
from scipy.io import loadmat
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
def pca(X):
"""
Run principal component analysis.
Parameters
----------
X : array_like
The data... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import json
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from collections import defaultdict
from scipy.stats import spearmanr
def req(api_method, renew=False):
try:
if renew:
raise
with open(f'./cache/{api_meth... |
<reponame>voxie-viewer/voxie
#!/usr/bin/python3
#
# Copyright (c) 2014-2022 The Voxie Authors
#
# 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 limitati... |
<filename>scripts/calibrate.py
# Copyright: 2021, <NAME>, Berlin . All rights reserved.
import pathlib
import argparse
import datetime as dt
import json
from collections import defaultdict
from bokeh.plotting import figure
from bokeh.layouts import column, row
from bokeh.models.annotations import Label
from bokeh.io i... |
# coding: utf-8
import numpy as np
import h5py
import yaml
import yamlloader
import os
from collections import OrderedDict
from collections import abc
from sympy import Integer
from sympy.core.singleton import Singleton
from sympy.core.compatibility import with_metaclass, is_sequence
from sympy.core import Basic, sy... |
#!/usr/bin/env python
import rospy
import numpy as np
from geometry_msgs.msg import PoseStamped
from styx_msgs.msg import Lane, Waypoint
from scipy.spatial import KDTree
from std_msgs.msg import Int32
import math
'''
This node will publish waypoints from the car's current position to some `x` distance ahead.
As ment... |
'''
Classes for modeling slowness on a 3-D voxel grid as a function of some number
of parameters.
'''
import numpy as np
from scipy.sparse import csr_matrix, coo_matrix, eye as speye
import re
from itertools import product as iproduct
class Slowness(object):
'''
A class representing an unconstrained slowness on a ... |
<reponame>jmfrancklab/proc_scripts
"""
Phasing and Timing Correction Using a Varied Tau Experiment
===========================================================
Take real data with varying echo times,
and demonstrate how we can automatically find the zeroth order phase and the
center of the echo in order to get data th... |
# UQpy is distributed under the MIT license.
#
# Copyright (C) 2018 -- <NAME>
#
# 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 limitation the
# rights t... |
<filename>scripts/aero/Functions/Models/wind_model.py
# Author : <NAME>
# Last update : 16 October 2020
# EPFL Rocket Team, 1015 Lausanne, Switzerland
import numpy as np
from scipy import interpolate
def wind_model(t, I, V_inf, Model, h_alt):
t_wind_ = []
wind_ = []
if Model == 'None':
U = V_inf... |
<filename>CT_PET_preprocessing/compare_matrix.py
from scipy.io import loadmat
from math import fabs
def compare_3D_matrix(python_array,
matlab_array,
max_count_num=100,
diff_threshold=0):
A = python_array
B = matlab_array
assert A.shape == ... |
import pandas as pd
import numpy as np
import yfinance as yf
from sklearn.linear_model import LinearRegression
import statsmodels
import statsmodels.api as sm
import statsmodels.tsa.stattools as ts
import datetime
import scipy.stats
import math
import openpyxl as pyxl
from scipy import signal
from scipy import stats... |
<gh_stars>1-10
from __future__ import division, print_function, absolute_import
### THIS SCRIPT IS BASED ON PyTran, WHICH IS PART OF THE COURSEWARE IN
### Pierrehumbert, 2010, Principles of Planetary Climate
###
### MODIFIED BY dkoll
#--------------------------------------------------------
#Description:
# [...]
#
#N... |
<reponame>mroberto166/RadiativeTransportPinns<filename>EquationModels/RadTrans3D.py
from ImportFile import *
from pyevtk.hl import gridToVTK
pi = math.pi
space_dimensions = 3
time_dimensions = 0
output_dimension = 1
extrema_values = None
parameters_values = torch.tensor([[0, 2 * pi], # phi
... |
from cgbind.log import logger
from scipy.spatial import distance_matrix
import networkx as nx
import numpy as np
import pickle
import os
from cgbind.exceptions import CgbindCritical
from cgbind.input_output import mol2file_to_atoms
from cgbind.bonds import get_bond_list_from_atoms
from cgbind.geom import calc_com
from ... |
from scipy.spatial.distance import cosine, cityblock, jaccard, canberra, euclidean, minkowski, braycurtis
class Word2vecModel(object):
def __init__(self, data, corpus, model):
'''
:param data:
:param corpus: segment doc, dict type
:param model: word2vec
'''
self.dat... |
<filename>Tools/Gaussian_fit.py
import numpy as np
from scipy import optimize
import matplotlib.pyplot as plt
#For GUI
import tkinter as tk
from matplotlib.figure import Figure
from matplotlib.backends.backend_tkagg import (FigureCanvasTkAgg,NavigationToolbar2Tk)
#amplitude,mean,stddev=gaussian_fit(x,data,manual=Fals... |
<filename>unrolr/core/pca.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# <NAME> 2016-2020
# Unrolr
#
# Principal Component Analysis
# Author: <NAME> <<EMAIL>>
#
# License: MIT
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
import numpy as np
from sc... |
<gh_stars>10-100
# -*- encoding: utf-8 -*-
# @Author: <NAME>
# @Time: 2021/08/29 21:49:07
# @File: stack_machine.py
import sympy
import torch
class OPERATIONS:
def __init__(self, out_symbol2idx):
self.NOOP = -1
self.GEN_VAR = -2
self.PAD = out_symbol2idx['<PAD>']
self.ADD = out_sy... |
from Provider import Provider
from foundation.FoundationException import FoundationException
from ProviderAgentException import ProviderException
from foundation.Agent import AgentServerHandler
from foundation.DecisionVariable import DecisionVariable
import logging
import numpy as np
from scipy.cluster.vq import kmeans... |
#!/usr/bin/env python
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import cPickle as pickle
import glob
import os
import os.path as osp
import re
import fcn
import matplotlib.pyplot as plt
import numpy as np
import scipy.ndimage as ndi
i... |
"""
<NAME>
This module computes contract fixpoints induced by the realizability relation
between the assumption and guarantee sets
California Institute of Technology
April 16, 2019
"""
import os, sys
import numpy as np
if __name__ == '__main__':
sys.path.append('..') # for import
from contracts.compute_refinement ... |
<reponame>vihari/crossgrad
# Copyright 2016 The TensorFlow Authors. 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/LICENSE-2.0
#
# Unl... |
<gh_stars>1-10
"""
.. deprecated:: 1.6
sympy.utilities.benchmarking has been renamed to sympy.testing.benchmarking.
"""
from sympy.utilities.exceptions import sympy_deprecation_warning
sympy_deprecation_warning("The sympy.utilities.benchmarking submodule is deprecated. Use sympy.testing.benchmarking instead.",
... |
'''
Notes
------
Available keys in annotation: dict_keys(['__header__', '__version__', '__globals__', 'sequence', 'clipNo', 'source', 'bg', 'gender', 'light', 'stride', 'camDist', 'camLoc', 'joints2D', 'joints3D', 'pose', 'zrot', 'cloth', 'shape'])
'''
import os
import scipy.io as sio
from tqdm import tqdm
import numpy... |
import numpy as np
from PIL import Image
from scipy.ndimage import convolve
import matplotlib.pyplot as plt
from utils import greyscale_convert
def sobel_filter_x(image):
g_x = np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]])
return convolve(image, g_x)
def sobel_filter_y(image):
g_y = np.array([[1, 2, 1]... |
<filename>neurophox/helpers.py
from typing import Optional, Callable, Tuple
import numpy as np
import tensorflow as tf
try:
import torch
except ImportError:
# if the user did not install pytorch, just do tensorflow stuff
pass
from scipy.stats import multivariate_normal
from .config import NP_FLOAT
def ... |
<filename>mandelbulb_raytrace.py
import numpy as np
from power3d import pow3d
import matplotlib.pyplot as plt
import scipy.optimize
IMAGE_WIDTH = 100
IMAGE_HEIGHT = IMAGE_WIDTH
BAILOUT = 64
ORDER = 5
MAX_ITERS = 6
PATIENCE = 120
ACCURACY = 0.02
MIN_DISTANCE = 2.9
CAMERA_POS = np.array([-0.1, 0.2, -4])
LOOK_XS = np.... |
<gh_stars>0
"""
Copyright 2017 <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 applicable law or agreed to in writing, soft... |
'''This script contains all of the functions used in our study'''
from __future__ import print_function
import math
import numpy as np
import scipy as sp
from scipy import special as spsp
from scipy import sparse as sparse
from scipy import stats as stats
from scipy import optimize as opt
from scipy import interpolate... |
<filename>scripts/python/plot_sound_eeg.py<gh_stars>1-10
"""
* Smartphone Brain Scanner 2 License Agreement (MIT License)
*
* Copyright (c) 2012 <NAME>, <NAME>, <NAME>, <NAME>, <NAME>.
* Technical University of Denmark, DTU Informatics, Cognitive Systems Section. http://code.google.com/p/smartphonebrainscanner2
*
* Pe... |
""" Utility methods for handling complex numbers in networks, converted from TF """
import numpy as np
import scipy.signal
import torch
import torch.nn as nn
import torch.nn.functional as F
def compute_psnr(predictions, ground_truths, maxpsnr=100):
"""Compute PSNR."""
ndims = len(predictions.get_shape().as_li... |
import matplotlib.pyplot as plt
from matplotlib import cm
from mpl_toolkits.mplot3d import Axes3D
import sys, os, time, glob, collections
from argparse import ArgumentParser
import numpy as np
import scipy.sparse as sp
from scipy.sparse import csr_matrix
from scipy.sparse.csgraph import reverse_cuthill_mckee
from _i... |
<reponame>shreysrins/bond-calculator<gh_stars>1-10
#!/usr/bin/env python
"""Bond Calculator with associated functions.
This script allows the user to calculate the Yield-to-Maturity, Price, Duration, or Convexity of a bond.
It is operated purely through a Command Line Interface (CLI).
"""
from pyfiglet import Figlet
... |
<filename>examples/domain_adaptation/segmentation/data/data_prep.py
# -*- coding: utf-8 -*-
"""
@author: <NAME>
"""
from __future__ import print_function
import numpy as np
#import cv2
from scipy import ndimage
from skimage.restoration import denoise_nl_means,estimate_sigma
# from skimage import data, util
from skimag... |
<reponame>jnietol/DVH-Analytics
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# tools.stats.py
"""
Take numerical data from main app and convert to a format suitable for statistical analysis
in Regression and Control Chart tabs
"""
# Copyright (c) 2016-2019 <NAME>
# This file is part of DVH Analytics, released under ... |
<filename>growth_modeling/growth.py<gh_stars>0
r"""The growth.py module implements the Growth base class.
This module implements the Growth class: a parent class that will be inherited
by the different specific growth modules. It allows to encapsulate at a shared
level most of the general behaviors of the different ... |
<reponame>Yongbinkang/ExpFinder<filename>src/controller/generator.py<gh_stars>1-10
import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.preprocessing import normalize
from sklearn.metrics.pairwise import cosine_similarity
from scipy.sparse import csr_matrix
fr... |
################################################################################
# Copyright 2019-2020 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the LICENSE file for details.
# SPDX-License-Identifier: MIT
#
# Fusion models for Atomic and molecular STructures (FAST)
# Evaluatio... |
<reponame>JakeMaeker/utk-fusion<filename>misc/lams/SIMMS.py<gh_stars>1-10
import numpy as np
import scipy.interpolate as sinter
import pandas as pd
def doALL(EFfileNAM="AU02_dict.csv", RBSfileNAM="A02_RminRsep_data.csv", FOLDpath='/.',
simmBG=0.0435, HDFdump=0):
efFOLDpath = FOLDpath+'CP_LAMS_Dictionar... |
#!/usr/bin/env python
import rospy
import tf
import cv2
import yaml
import numpy as np
from std_msgs.msg import Int32
from geometry_msgs.msg import PoseStamped, Pose
from styx_msgs.msg import TrafficLightArray, TrafficLight
from styx_msgs.msg import Lane
from sensor_msgs.msg import Image
from cv_bridge import CvBridge... |
"""The WaveBlocks Project
This file contains code to represent linear combinations of compatible
Hagedorn wavepackets in a more efficient and storage friendly way
than the general linear combination class.
@author: <NAME>
@copyright: Copyright (C) 2013, 2014 <NAME>
@license: Modified BSD License
"""
from numpy impor... |
from abc import ABCMeta, abstractmethod
import numpy as np
from scipy.signal import lfilter
import matplotlib.pyplot as plt
#import scipy.signal.ltisys, scipy.signal.dltisys
class DynamicalSystem(object):
"""
The DynamicalSystem class serves as the base for all Dynamical System
specializations and defines... |
import math
import random
from typing import List, Tuple, Callable
import numpy as np
import scipy.misc
from clustering_system.clustering.ClusteringABC import CovarianceType
from clustering_system.clustering.GibbsClusteringABC import GibbsClusteringABC
from clustering_system.clustering.mixture.GaussianMixtureABC impo... |
<reponame>MilesCranmer/bnn_chaos_model
#!/usr/bin/env python
# coding: utf-8
# %matplotlib inline
import sys
sys.path.append('../')
import os
os.environ['XLA_PYTHON_CLIENT_PREALLOCATE'] = 'false'
# import jax
# import jax.numpy as jnp
# from jax.random import PRNGKey, normal
import numpy as np
# +
import numpy a... |
<filename>main copy 3.py
import plotly.figure_factory as ff
import plotly.graph_objects as go
import statistics
import random
import pandas as pd
import csv
df = pd.read_csv("data.csv")
data = df["temp"].tolist()
population_mean = statistics.mean(data)
std_deviation = statistics.stdev(data)
print("population mean:- ",... |
<reponame>alsuren/robokite
#!/usr/bin/env python
# -*- coding: utf8 -*-
#
# Copyright (c) 2013 Nautilabs
#
# Licensed under the MIT License,
# https://github.com/baptistelabat/robokite
# Authors: <NAME>
from SimpleCV import Camera, Image, VirtualCamera, Display, DrawingLayer, Color, JpegStreamCamera, JpegStreamer
imp... |
# -*- coding: utf-8 -*-
"""
Created on Sun Nov 22 21:08:04 2020
@author: franklin
https://aaronschlegel.me/black-scholes-formula-python.html
"""
import numpy as np
import scipy.stats as si
import itertools
def euro_vanilla(S, K, T, r, sigma, option = 'call'):
#S: spot price
#K: strike p... |
<reponame>novasush/computer-vision-plant-disease-classification
import tensorflow as tf # Default graph is initialized when the library is imported
import os
from tensorflow.python.platform import gfile
from PIL import Image
import numpy as np
import scipy
from scipy import misc
import matplotlib.pyplot as plt
import ... |
'''
Script to test simple functionality of radiation models.
It is recommended to run this in IPython.
'''
import numpy as np
import matplotlib.pyplot as plt
plt.ion()
from omfit_classes import omfit_eqdsk, omfit_gapy
import sys, os
from scipy.interpolate import interp1d
# Make sure that package home is added to sys... |
import numpy as np
import os
from scipy.stats import norm
import matplotlib.pyplot as plt
from collections import Counter
from parameter import element_dict, amino_acid_dict, common_dict_create, h2o_mass, proton_mass
def mass_diff_list_compute(lines, mass, common_dict=None):
mass_diff_list = []
... |
<reponame>JunCEEE/hummingbird
# --------------------------------------------------------------------------------------
# Copyright 2016, <NAME>, <NAME>, <NAME>, <NAME>
# Hummingbird is distributed under the terms of the Simplified BSD License.
# -------------------------------------------------------------------------
... |
<filename>scripts/2d_spde_prob/generate_data/generate_data_multiple_ellxs_a=e^GRF_var0.75/heateqsolver.py
#!/usr/bin/env python
"""
We define a class ``SteadyStateHeat2DSolver'' which
solves the steady state heat equation
in a two-dimensional square grid.
For now we don't add any forcing function and the
boundary cond... |
"""Module for solving different master equations."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import scipy as sp
import scipy.sparse.linalg
import copy
from qmeq.mytypes import doublenp
from qmeq.mytypes import complexnp
from qmeq... |
import numpy as np
import random
from numpy.random import *
from itertools import combinations
import numpy as np
from sympy.utilities.iterables import multiset_permutations
def unit_vector(vec):
"""
Returns unit vector
"""
return vec / np.linalg.norm(vec)
def cos_sim(v1, v2):
"""
Returns ... |
<gh_stars>0
import mnist
import scipy.misc
import matplotlib.pyplot as plt
import tensorflow as tf
# Importing the required Keras modules containing model and layers
from keras.models import Sequential
from keras.layers import Dense, Conv2D, Dropout, Flatten, MaxPooling2D
if __name__ == '__main__':
images = mnist.... |
#! /usr/bin/python3
##############################################################
## User-centric QoS-based pricing model ##
## Authors: <NAME>, <NAME> ##
## Year: November, 2019 ##
##############################################################
from pyes.base i... |
import numpy as np
from scipy.optimize import least_squares
import matplotlib.pyplot as plt
from tqdm import tqdm
from flex.flex import FlexFile
from scipy.ndimage.filters import gaussian_filter1d
from astropy import units as u
from petitRADTRANS import Radtrans
from petitRADTRANS import nat_cst as nc
from ..pysysr... |
<filename>src/pml.py
from .constants import *
import numpy as np
import scipy.sparse as sp
class PML:
'''
the PML is actually a preconditioner, not a boundary BoundaryCondition
'''
def __init__(self, N, Npml, omega):
self.lnR = -16; #-12;
self.m = 4; #3.5;
self.sigma_max ... |
<reponame>colour-science/sample_code
# -*- coding: utf-8 -*-
"""
Countdown動画を作るクラスの定義
===============================
"""
# import standard libraries
from typing import NamedTuple
# import third-party libraries
import numpy as np
import cv2
from sympy import symbols
from colour import RGB_COLOURSPACES
# import my l... |
<reponame>Fernandez-Trincado/DataReductionPy
#!/usr/bin/python
# Created by: <NAME>
# Date: 2013 June 25
# Program: This program generate the Master Bias
# 1 m Reflector telescope, National Astronomical Observatory of Venezuela
# Mode f/5, 21 arcmin x 21 arcmin
# Project: Omega Centauri, Tidal Tails.
# The program As... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Jan 10 00:01:20 2021
@author: afo
"""
import asyncio
import json
import traceback
from os.path import abspath
from inspect import getsourcefile
import os
import aiohttp
import pandas as pd
from datetime import datetime
import itertools as it
import sta... |
<gh_stars>0
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Sep 5 10:39:04 2017
@author: BallBlueMeercat
"""
# zombie apocalypse modeling
import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import odeint
plt.ion()
P = 0 # birth rate
d = 0.0001 # natural death percent (per... |
<reponame>founture123/LSAFGCMR
import torch
import torch.nn as nn
import scipy.spatial
class CenterLoss(nn.Module):
"""Center loss.
Reference:
Wen et al. A Discriminative Feature Learning Approach for Deep Face Recognition. ECCV 2016.
Args:
num_classes (int): number of clas... |
import scipy.signal
import numpy as np
import random
import tensorflow as tf
def set_global_seeds(env, seed):
tf.set_random_seed(seed)
np.random.seed(seed)
random.seed(seed)
env_seeds = np.random.randint(low=0, high=1e6, size=env.num_envs)
env.set_random_seed(env_seeds)
class RunningMeanStd(obje... |
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