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#!/usr/bin/env python
from __future__ import print_function
try:
# If possible, use setuptools
from setuptools import setup
from setuptools.extension import Extension
from setuptools.command.build_ext import build_ext as distutils_build_ext
except ImportError:
from distutils.core import setup
... |
'''
Created on 2009-08-30
@author: beaudoin
Allows creation of a vertical collection of collapsible tool sets
'''
import wx
class ToolSet(wx.Panel):
"""A simple class that maintain tools and that can be hidden or showed."""
_triUp = None
_triDown = None
def __init__(self, parent, id =... |
# coding=utf-8
from g2p_aligner import load_transcription
def load_process_rules(process_rules_file_name):
"""
Load process rules file to rule list.
:param process_rules_file_name:
:return: a list containing rules like:
[
(grapheme:string, phones:list, modified_phone:string),... |
""" get scores for F1 Threshold(rho) experiments for competitive approaches """
# requires:
# - json file with predicted answers
# - json data file
from __future__ import print_function
from collections import Counter
import string
import re
import argparse
import json
import sys
import numpy as np
from collect... |
# -*- coding: utf-8 -*-
"""
Created on Fri May 14 14:11:23 2021
@author: freeridingeo
"""
import numpy as np
import xarray as xr
import pandas as pd
from eolearn.core import FeatureParser
import sys
sys.path.append("D:/Code/eotopia/metadata")
from metadata_geographical import (get_eopatch_coordinates)
from metadata... |
#!/usr/bin/env python3
import ast
from itertools import islice
import os
from pprint import pprint
import sys
import traceback
from arpeggio import Optional, ZeroOrMore, OneOrMore, EOF
from arpeggio import ParserPython, PTNodeVisitor, visit_parse_tree, ArpeggioError
from arpeggio import RegExMatch as _
from stdlib im... |
from decimal import *
import os
import random
import datetime
# Define Global Variables
Hopper = int(500)
InCred = int(0)
OutCred = int(0)
Balance = int(0)
SpinCount = int(0)
ToPay = int(0)
ReelDisplay = str("0 0 0")
InfoStrip = "See your host to begin!"
UseConfig = "N"
# Set Reels (This does determine odds and payou... |
#!/usr/bin/env python3
# Copyright 2015 Intel Corporation
#
# 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 to use, copy, modif... |
import os
import requests
import json
import traceback
import src.parsers.variant_xml_parser as v_xml_parser
from src.helpers.variant_helpers.primary_transcript import get_primary_transcript
from src.helpers.variant_helpers.hgvs_notation import get_hgvs_notation
def find(hgvs_notation: str, grouping=True):
"""Q... |
import numpy as np
import torch
import torch.nn as nn
import numpy as np
from PIL import Image
## NeRFmm Import
import thirdparty.ATE as ATE
def make_rand_axis(batch_size):
vec = (np.random.rand(batch_size, 3) - 0.5)
mag = np.linalg.norm(vec, 2, 1, keepdims=True)
vec = vec/mag
return vec
def R_axis_... |
# -*- coding: utf-8 -*-
################################################################################
# _____ _ _____ _ #
# / ____(_) / ____| | | #
# | | _ ___ ___ ___ | (___ _ _ ___... |
from dataclasses import dataclass
from typing import Callable, Tuple, List
import numpy as np
import torch
import torch.nn as nn
from devices.light_curtain import LCReturn
from policies.actors import Pi
from policies.actors.actor import Actor
from policies.critics.critic import Critic
import utils
@utils.register_c... |
# -*- coding: utf-8 -*-
"""
Created on Fri Feb 7 13:53:58 2020
@author: malot
"""
from __future__ import division
from PyQt5 import QtWidgets
#from PIL import Image
import os
import numpy as np
#import glob
#import pylab
import tomopy
from os import mkdir
from os.path import join, isdir
from imageio import imread, ... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Queries the commercetools API, transforms data into pandas DataFrame, and
exports data to csv (purchases/orders) and xml (product catalog) files.
@author: amagrabi
"""
import pandas as pd
from lxml import etree
import config
import nr
import make_df_full
import a... |
from __future__ import print_function, division
import torch
import torch.nn as nn
from torch.autograd.gradcheck import zero_gradients
import numpy as np
from . import utils as ut
from . import base_attack
from collections import namedtuple
Deepfool_Return_Payload = namedtuple("Deepfool_Return_Payload", ["delta",
... |
# Compute dN/dt, using the formalism in Lamers et al. (2005, L05),
# assuming a truncated power-law cluster IMF
#
# Author: <NAME>, with additions by <NAME> (ICCUB)
# Last modified: 27.11.2020
#
# Reference: https://ui.adsabs.harvard.edu/abs/2020arXiv200601690A/abstract
from __future__ import division
import numpy
fr... |
import argparse
from mmcv import Config
from mmcv.cnn import get_model_complexity_info
from mmcv.cnn.utils.flops_counter import flops_to_string, params_to_string
#from mmseg.models import build_segmentor
import torch
from isegm.model.modeling.segformer.segformer_model import SegFormer
from isegm.model.is_segformer_mo... |
# -*- coding: utf-8 -*-
"""
test_utils
~~~~~~~~~~
Tests for helper functions.
:copyright: 2015 by <NAME>, see AUTHORS
:license: United States Geological Survey (USGS), see LICENSE file
"""
import pytest
import numpy as np
from gagepy import utils
from datetime import datetime
import os
def test... |
import backbone.support.classes_and_adjustments as ca
import backbone.support.configurations_variables as confv
import numpy as np
import backbone.support.directory_file_checking as dfc
import os
from tqdm import tqdm
import backbone.support.data_loading as dl
import librosa
import backbone.support.calculations as calc... |
from math import ceil
import pandas as pd
import numpy as np
import torch
import torch.utils.data as tud
import os
import sys
sys.path.append('..')
from utils import config as cfg
class HarmonixDataset(tud.Dataset):
'''Harmonix dataset object.
To follow the idea of the original paper, each chunk is aligned w... |
# Burning Flame simulation and Tetris-like game
# BBC Micro:bit
# <NAME>, 2019
from microbit import display, button_a, button_b, sleep
import random
class Particle:
__max_x_pos = 4
__max_intensity = 9
__min_intensity = 1
__max_fading = 3
__min_fading = 1
def reset( self ):
self.ypos =... |
import caffe
import yaml
import json
import numpy as np
import os
import random
import gzip
def proto_load(file_path):
# load .gz version if exists
# AD_HOC implementation
if os.path.isfile(file_path + '.gz'):
file_path += '.gz'
if os.path.splitext(file_path)[1] == '.gz':
with gzip.Gzip... |
from torch import optim
from torch.utils.data import DataLoader
from tqdm import tqdm, trange
from emb_modeling import ContextStaticModel
from emb_dataset import Mydataset
import torch
from torch.nn import functional as F
import json
import time
import numpy as np
from emb_config import model_config,train_config,data_c... |
from PIL import Image
from matplotlib import pyplot as plt
import matplotlib.patches as patches
from collections import Counter
from pathlib import Path
import numpy as np
import tensorflow as tf
import os
from dataset import HandsegDataset
from dataset_bboxes import HandsegDatasetBboxes
from src.utils.paths import HAN... |
# Copyright 2020 Open Reaction Database Project 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 applicable l... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = '<NAME>'
__version__ = '0.1'
from os.path import dirname, abspath
from argparse import ArgumentParser
import re
parser = ArgumentParser(description='Update ChibiOS halconf and mcuconf from STM32CubeMX project files.')
parser.add_argument('cube', type=str, help='S... |
import pygame
SCREEN_WIDTH = 800
SCREEN_HEIGHT = 576
# Define some colors
BLACK = (0,0,0)
WHITE = (255,255,255)
class Player(pygame.sprite.Sprite):
change_x = 0
change_y = 0
explosion = False
game_over = False
def __init__(self,x,y,filename):
# Call the parent class (sprite... |
#%% [markdown]
# # Flow ranking and hypothesis testing
# TODO: explain the goal of finding a latent ordering, comparing between graphs
#%% [markdown]
# TODO: explain some of the math behind spring rank/signal flow
#%%
import os
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as ... |
from tkinter import *
# Defining region codes
INSIDE = 0 # 0000
LEFT = 1 # 0001
RIGHT = 2 # 0010
BOTTOM = 4 # 0100
TOP = 8 # 1000
x_max = 350
y_max = 350
x_min = 50
y_min = 50
def computeCode(x, y):
code = INSIDE
if x < x_min: # to the left of rectangle
code |= LEFT
elif... |
#!/usr/bin/env python3
"""
A script to run on your phone (running in Termux under Android).
"""
# TODO local sync with SFTP to an isolated location on the computer? Some watcher would pick up the files.
# TODO sync to cloud
# - get last filename from scaleaway
# - send encrypted chunks (contain entire photos)
# - enc... |
# -*- coding: utf-8 -*-
# @Time : 2018/5/8 下午7:24
# @Author : yidxue
# MLP 是一种前向结构的人工神经网络。一个MLP至少由三层节点组成。除输入节点外，每个节点都是使用非线性激活函数的神经元。
# MLP使用称为“反向传播”的监督学习技术进行训练。其多层和非线性激活将MLP与线性感知器区分开来。
# 它可以区分不能线性分离的数据。
# https://www.toutiao.com/a6552804995442409991/?tt_from=weixin&utm_campaign=client_share×tamp=1525776941&ap... |
# -*- coding: utf-8 -*-
'''
@author: <NAME>
@contact: <EMAIL>
@description: ranking comparison-related method tests.
'''
# DEPENDENCIES =================================================================
import numpy as np
import pandas as pd
from scipy.stats import norm
from gpseqc.compare import *
# PARAMS =======... |
import json
from unittest.mock import call, patch, sentinel
import pytest
import scaraplate.automation.gitlab
from scaraplate.automation.gitlab import (
GitLabCloneTemplateVCS,
GitLabMRProjectVCS,
gitlab_available,
gitlab_clone_url,
gitlab_project_url,
)
from scaraplate.template import TemplateMet... |
# -*- coding: latin-1 -*-
import copy
from . import conditions
from . import effects
from . import pddl_types
class Action(object):
def __init__(self, name, parameters, precondition, effects, cost):
self.name = name
self.parameters = parameters
self.precondition = precondition
sel... |
"""Mouse bindings."""
from copy import copy
import numpy as np
from ._region_constants import Orientation
from ._region_utils import preprocess_region
def highlight(layer, event):
"""Highlight hovered regions."""
layer._set_highlight()
def add(layer, event):
"""Add new infinite region."""
# on pre... |
from c0101_retrieve_ref import retrieve_ref
from c0101_retrieve_ref import retrieve_ref_color
from c0101_retrieve_ref import retrieve_ref_color_wearable_segment
from c0101_retrieve_ref import retrieve_sensor_unit
from c0102_build_path import build_path
from c0104_retrieve_meta import retrieve_meta
from c0402_retrieve_... |
from collections import Counter
from sarge import run, Capture
from dependency_management.Helper import is_executable_exists
from dependency_management.requirements.AnyOneOfRequirements import (
AnyOneOfRequirements)
from dependency_management.requirements.ExecutableRequirement import (
ExecutableRequirement)... |
"""
#Dashboard_Bokeh v1.0
#Autor: <NAME>
#Date: 1/Enero/2019
#Description: Make a dashboard with Bokeh library
"""
#Import modules
import pandas as pd
import numpy as np
from bokeh.io import curdoc
from bokeh.models import ColumnDataSource,Select
from bokeh.plotting import figure
from bokeh.palettes impor... |
"""Crystal Orbital Overlap Population calculation.
Index
-----
.. currentmodule:: nanoqm.workflows.workflow_coop
.. autosummary::
workflow_crystal_orbital_overlap_population
"""
from __future__ import annotations
__all__ = ['workflow_crystal_orbital_overlap_population']
from typing import Tuple, TYPE_CHECKING
... |
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions.categorical import Categorical
import sys
sys.path.insert(0, '../')
from networks.quant_layer import Linear_Q, Conv2d_Q
def batch_conv(x, weight, bias=None, stride=1, padding=0, dilation=1, groups=1):
if... |
#
# SPDX-FileCopyrightText: 2021 <NAME> <<EMAIL>>
#
# SPDX-License-Identifier: Apache-2.0
#
from os import path,makedirs,getcwd,mkdir
import errno
import logging
import argparse
import re
from subprocess import run
import tarfile
import yaml
from diadmin.utils.utils import add_defaultsuffix, toggle_mockapi
from di... |
# A streamline do searchlight analysis across participants
# Streamline included several steps below.
# 1. Seperate cifti t map from each subject into metrics in left/right hemispheres
# 2. Do searchlight analysis, and save it.
# 3. Merge correlations in left/right hemispheres together.
# 4. Extract the averaged correl... |
import torch
import torch.nn as nn
import torch.nn.functional as F
import math
import numpy as np
from .Util import *
import torch.distributed as dist
class ConvBlock_ablation(nn.Module):
def __init__(
self,
inputSize,
outputSize,
hiddenSize,
kernelSize... |
import time
import uuid
from botocore.stub import Stubber
from dagster import check
class ECSError(Exception):
pass
class ECSTimeout(ECSError):
pass
class ECSClient:
def __init__(self, client, cluster, subnets, polling_interval=5, max_polls=120):
check.invariant(
polling_interval ... |
from enum import Enum
class op(Enum):
GAP_A = 1
GAP_B = 2
MA_MM = 3
def parseNucleotide(nucleotide):
switcher = {
'A': 0,
'T': 1,
'G': 2,
'C': 3,
'N': 4
}
return switcher.get(nucleotide,"Invalid nucleotide")
def get_score(score_mtx,characterA,characterB... |
import locate
from pathlib import Path
import os
import tempfile
import shutil
import subprocess
import uuid
_compile_vbs = locate.this_dir().joinpath("bin", "compile.vbs")
_decompile_vbs = locate.this_dir().joinpath("bin", "decompile.vbs")
_runmacro_vbs = locate.this_dir().joinpath("bin", "runmacro.vbs")
_saveasxlsx_... |
from treelib import Node, Tree
import numpy as np
import math
import copy
from matplotlib import pyplot as plt
import time
import config
from car import Car
from optim_steer import optimSteer, ackermann_to_differential
from probability_map import generateMap, sample
def diff_kinematic(state,u):
newState... |
import config
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import numpy as np
import os
import random
import torch
from nms import nms
from collections import Counter
from torch.utils.data import DataLoader
from tqdm import tqdm
def plot_particles(image, boxes, scores=True, pixels=F... |
import pandas as pd
from sklearn import linear_model
from sklearn.exceptions import ConvergenceWarning
import logging
import warnings
def logistic_regression(
data=None, dependent=None, predictors=None, regressions='available',
inplace=False):
"""Performs logistic regression imputation on the data... |
from builtins import object
import logging
import os
from pynamodb.models import Model
from pynamodb.attributes import UnicodeAttribute, BooleanAttribute
from pynamodb.indexes import GlobalSecondaryIndex, AllProjection
"""
DbTrust handles all db operations for a trust
Google datastore for google is used as a b... |
"""
MIT License
Copyright (c) 2020-2022 thatsOven
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
to use, copy, modify, merge, publish... |
"""Definition and setup of the Satellite Tracker Sensors for Home Assistant."""
import logging
import time
import datetime
from homeassistant.util.dt import as_local, utc_from_timestamp
from homeassistant.components.sensor import ENTITY_ID_FORMAT
from homeassistant.const import TIME_SECONDS, ATTR_NAME
from homeassist... |
"""
Binary tree.
"""
class Node:
"""Binary tree node."""
def __init__(self, key, left=None, right=None, p=None):
self._key = key
self._left = left
self._right = right
self._p = p
@property
def key(self):
"""The key of the node."""
return self._key
... |
# -*- coding: utf-8 -*-
import math
import logging
logger = logging.getLogger(__name__)
class NoPruning:
@classmethod
def filter(cls, Pe, Le, Te, *args):
for i in range(1, len(Pe)+1):
for j in range(i+1, len(Pe)+1):
yield i, j
class LazyCountPruning:
@cla... |
from django.shortcuts import render, get_object_or_404, redirect
from django.contrib.auth import get_user_model, decorators
from django.core.paginator import Paginator
from django.db.models import Count
from .models import Post, Group, Comment, Follow
from .forms import PostForm, CommentForm
User = get_user_model()
... |
#!/usr/bin/env python
"""
This module runs the performance tests to compare the ``re`` module with the
``re2`` module. You can just run it from the command line, assuming you have re2
installed, and it will output a table in ReST format comparing everything.
To add a test, you can add a function to the bottom of this ... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 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 ... |
from pprint import pprint
from math import floor
from math import sqrt
from uuid import uuid4
### CHANGE THESE VARIABLES TO CHANGE GRID GENERATION
# digits = each point is placed in a box generated from the lat/lon coordinates,
# by rounding down to the nearest digit specified by digits.
# If ... |
"""
This program compares two snapshots generated with methodmap and outputs
a report showing the differences
difference reports follow this form:
REL=<relnumber>;VER=<vernumber>;MISSING|MOVED|DEL|ADD;<msg>
The message following MISSING|MOVED|DEL|ADD will have the following
interpretation and form:
MISSING: means e... |
import simpy
def main(tijd):
env = simpy.Environment()
wachtrij = simpy.Resource(env, capacity=4)
TL = TrafficLight(env, groen_duur=30, geel_duur=7, rood_duur=22, grens=2)
car0 = Car(env, TL, wachtrij, "Thijs", duurOp=10)
car1 = Car(env, TL, wachtrij, "Freek", duurOp=9)
car1 = Car(env, TL, w... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# @Author: <NAME> (<EMAIL>)
# @Date: 2019-10-05
# @Filename: testing.py
# @License: BSD 3-clause (http://www.opensource.org/licenses/BSD-3-Clause)
from __future__ import annotations
import asyncio
import json
import re
import sys
import types
import unittest.mock
from ... |
from time import time
from numba import njit
import re
from typing import Any, Callable, Collection, Dict, Hashable, List, Mapping, Optional, Set, Tuple
import numpy as np
import matplotlib.pyplot as plt
from enum import Enum, auto
import random
from itertools import count, product
from functools import partial
class... |
import csv
import random
import numpy as np
import math
import matplotlib.pyplot as plt
import time
from tqdm import tqdm
# setting
city_num = 48 # total number of cities
city_loc = np.loadtxt('city_location.txt') # list of city coordinates
neigh_max = 50 # neighbor max number
iter_num = 20000 # iterat... |
import pandas as pd
import plotly
from plotly import offline as py
from augustus.system.metabase_env import augustusEnvBase
class PlotBase(augustusEnvBase):
def __init__(self):
super().__init__()
self.positions_df = self.env.recorder.position.dataframe()
self.holding_pnl_df = self.env.r... |
import json
from unittest.mock import MagicMock, patch
import pytest
import requests
from airflow.models.connection import Connection
from ideafast_etl.hooks.jwt import JwtHook
def test_find_jwt_token(haystack):
"""Test that a deep token can be found"""
path = "haystack1.haystack2.haystack4"
jwt_hook = ... |
# Copyright 2021 UW-IT, University of Washington
# SPDX-License-Identifier: Apache-2.0
from django.utils import timezone
from django.conf import settings
from endorsement.dao.uwnetid_categories import (
set_active_category, set_former_category)
from endorsement.dao.uwnetid_subscriptions import (
activate_subscr... |
import numpy as np
from PyQt5 import QtGui, QtCore
from pyqtgraph import PlotWidget, mkPen, LegendItem
class PLWidget(PlotWidget):
def __init__(self, engine, lines):
super(PLWidget, self).__init__()
self.styles = {'color':'b', 'font-size':'18px'}
self.setBackground('w')
self.showGri... |
#!/usr/bin/env python3
# File: sudoku.py
# Author: <NAME>
# Contains a class which has a 9x9 grid, including all things necessary about a sudoku "backend"
# This class is made to not mix up with the Qt UI.
import random
import sys
def eprint(*args, **kwargs):
print(*args, **kwargs, file=sys.stderr)
class Sudo... |
import events
from entities import Deck, Player, Match, GameOverException, Effect
class IllegalOperation(Exception):
def __init__(self, message):
super(IllegalOperation, self).__init__(message)
def assert_get_resource_by_index(index, container, entity_name):
if index < 0 or index >= len(container):... |
from __future__ import absolute_import, print_function, unicode_literals
from validator.constants import BUGZILLA_BUG
from ..regex.generic import FILE_REGEXPS
from .jstypes import Global, Hook, Interfaces
# SQL.
SYNCHRONOUS_SQL_DESCRIPTION = (
'The use of synchronous SQL via the storage system leads to severe ... |
#
# File: FIXReader.py
# Author: blee4
# Date: 25 April 2018
# Purpose: Create a FIX parser and answer the following questions:
# 1. How many instruments of each security type (tag 167) exist?
# 2. How many futures (tag 167) instruments exist in each product complex (tag 462)?
# 3. ... |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
import re
import string
import nltk
import wordninja
from nltk import word_tokenize
from nltk.corpus import wordnet
from nltk.stem import WordNetLemmatizer
from nltk.stem.porter import PorterStemmer
from nltk.stem.snowball import SnowballStemmer
from sklearn.base import Bas... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
# Adapted from https://github.com/facebookresearch/SlowFast/blob/master/slowfast/visualization/gradcam_utils.py
from operator import attrgetter
import matplotlib.pyplot as plt
import torch
import torch.nn.functional as F
d... |
from itertools import combinations
from collections import Counter
import numpy as np
import pandas as pd
import networkx as nx
from networkx.algorithms import bipartite
def generate_edge_list(df: pd.DataFrame) -> pd.DataFrame:
df['pairs'] = df['author'].map(lambda x: list(combinations(x, 2)))
edge_list = pd... |
import numpy as np
from sklearn.pipeline import Pipeline
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.svm import LinearSVC, SVC
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.multiclass import OneVsRestClassifier
from sklearn.metrics import zero_one_loss
import sk... |
from __future__ import print_function
import json
import os
from collections import OrderedDict
from fhirclient.models import fhirdate, observation, patient, familymemberhistory, quantity, relatedperson
from observation_commons import *
from db_references import *
from dateutil.relativedelta import relativedelta
def ... |
from discord import Embed, Interaction, ButtonStyle
from discord.ui import button, View
from discord.ext import commands
from datetime import datetime
from typing import Optional
from ..echoes.echoes_cogs import EchoesCog
from ..db.db import Playlist
class PaginatorView(View):
def __init__(self, pages: list[Embed... |
"""
Example of how to trace a Fresnel Zone Plate
by <NAME> and <NAME>.
1) The source is from get_beam(), is a collimated source of squared cross section (800 microns),
monochromatic (1.54 A)
2) fresnel_zone_plane() calculates a fzp, centered at (0,0). It returns a new shadow3 beam
containing the beam after the... |
from typing import Optional, List
import numpy as np
from my_collection import suls
from PIL import Image
from matplotlib import pyplot as plt
from pathos.multiprocessing import ProcessPool
import basis
from basis.laplacian import create_grid_adj_matrix
"""
this example recovers an image with missing pixels
by trans... |
#all nine mole conversion functions
#Grams to Moles
def gramToMole(gram,molarMass):
return gram / molarMass
#Grams to Molels to Particles
def gramToMoleToParticle(gram,molarMass):
return (gram / molarMass) * (6.022*(10**23))
#Grams to Moles to Particles to Atoms
def gramToMoleToParticleToAtom(gram,molarMass,... |
# -*- coding: utf-8 -*-
"""
Created on Wed May 20 12:10:29 2020
@author: Nick
# ***********************************************************************
# read the 6-n params file. Format: atnum, rep, rmin,emin
# here is an example file for MM3 params
# 0 0.205 1.53 0.026
# 1 12.0 1.62 0.02
# 6 12.0 2.04 0.... |
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
class CausalConv1d(torch.nn.Conv1d):
def __init__(self,
in_channels,
out_channels,
kernel_size,
stride=1,
dilation=1,
groups=1... |
#!/usr/bin/env python3
import re
import logging
import argparse
import os
import subprocess
import time
import signal
logging.basicConfig(
level=logging.INFO,
format='%(asctime)-15s %(levelname)-8s %(name)-20s %(message)s'
)
logger = logging.getLogger('waveroam')
parser = argparse.ArgumentParser(description='w... |
import glob
import json
import math
import os
import shutil
import tarfile
import time
import typing
import pyrogram
config = None
with open(file="config.json", encoding="utf-8") as f:
config = json.load(fp=f)
def PrintUser(user: typing.Union[pyrogram.types.Chat, pyrogram.types.User]) -> str:
... |
import numpy as np
import tensorflow as tf
from functools import *
from tensorflow.keras import Model
from tensorflow.keras.layers import *
import matplotlib.pyplot as plt
import pandas as pd
def load_data():
data = np.load("data/batt_processed_min.npz", allow_pickle=True)
x_train = data['x_train']
y_trai... |
from contextlib import contextmanager
import filecmp
import mock
import os
import shutil
import tempfile
import pytest
from six.moves import shlex_quote
import yaml
import mlflow
from mlflow.projects import Project, ExecutionException
TEST_DIR = "tests"
TEST_PROJECT_DIR = os.path.join(TEST_DIR, "resources", "example... |
import shlex
import shutil
import subprocess
import json, os
from pathlib import Path
from collections import defaultdict, OrderedDict
def fairseq_preprocess(src, tgt, destdir, trainpref=None, validpref=None, testpref=None, srcdict=None, **kwargs):
additional_cmds = ''.join([f"--{k.replace('_', '-')} {v} " for k, ... |
import numpy as np
from scipy.special import hyp2f1
def from_nfw(rhos_NFW,rs_NFW):
'''
Convert from NFW profile to postencounter density profile. See
arXiv:1907.13133 for the profile and arXiv:xxxx.xxxxx for a refinement.
Parameters:
rhos_NFW, rs_NFW: scale parameters associated with th... |
# pylint:disable=unused-argument
import typing
from typing import List, Optional, Tuple, TYPE_CHECKING
import threading
import asyncio
from tornado.platform.asyncio import AnyThreadEventLoopPolicy
import PySide2
from PySide2.QtWidgets import QDialog, QPushButton, QHBoxLayout, QVBoxLayout, QMessageBox, QTableView, \
... |
"""
##################################################################################################
# Copyright Info : Copyright (c) <NAME> @ Hikvision Research Institute. All rights reserved.
# Filename : affine_transformation.py
# Abstract : Implementations of the affine transformation
# Curr... |
#!/usr/bin/python3
# from https://raw.githubusercontent.com/Klabbedi/ev3/master/Line_follow_2.py
# coding: utf-8
from time import sleep
from ev3dev.auto import *
# ------Input--------
print('Setting input values')
power = 60
power = 20
power = 40
target = 55
kp = float(0.65) # Proportional gain. Start value 1
kp = f... |
# -*- coding: utf-8 -*-
# @Author : gwentmaster(<EMAIL>)
# I regret in my life
"""代理管理"""
import ctypes
import logging
import random
import time
import winreg
from dataclasses import dataclass
from math import inf as INF
from queue import Empty, Queue
from threading import Event
from typing import Any, Dict, Optio... |
from ..optimize import cull, fuse
from ..core import flatten
from ..optimize import dealias, inline_functions
from .core import getarray
from operator import getitem
from dask.rewrite import RuleSet, RewriteRule
from toolz import valmap, partial
import numpy as np
def optimize(dsk, keys, **kwargs):
""" Optimize d... |
#!/usr/bin/python
#
# Copyright 2010 Google Inc.
#
# 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 ag... |
#!/usr/bin/python3
# Demonstrates using Quadric Objects
# <NAME>
# <EMAIL>
#
# Based heavily on: sphereworld.cpp
# OpenGL SuperBible
# Program by <NAME>.
from OpenGL.GL import *
from OpenGL.GLUT import *
from OpenGL.GLU import *
from PIL import Image
import time
ESCAPE = b'\033'
from random imp... |
import os
import sys
import copy
import difflib
import click
from .vagga import Config as Vagga
from . import lithos
from . import metadata
from .main import main as cli
from .human import panic
from .vagga_command import extract_command_info
def _careful_update(old_config, old_info, new_info, *, verbose):
new... |
from .jsobject import JSObject
import json
import IPython
# Store tool manager state
window = None
cache_time = None
tools = None
_py_funcs = {}
class NBTool:
"""
Tool class, used to register new tools with the manager
"""
origin = None
id = None
name = None
description = None
attrib... |
# -*- coding: utf-8 -*-
#------------------------------------------------------------------------------
# Importes das bibliotecas utilizadas
import logging
import time
import pandas as pd
import pickle
from utils.log_factory import Log
from os.path import dirname, abspath, join
import w... |
import numpy as np
from toolkitJ import cell2dmatlab_jsp
import GVal
def fScore(beta, P, R):
F = (1 + beta**2) * (P * R) / ((beta**2) * P + R)
return F
def dataSetPreparation(feature_index, X_train_raw, Y_train_raw, X_valid_raw, Y_valid_raw):
X = X_train_raw[:, feature_index]
y = Y_t... |
import time
import warnings
from itertools import count
from typing import Sequence, Tuple, Iterator
import gym
import numpy as np
import torch
from more_itertools import consume
from torch import Tensor
from learner.LSGAN import LSGAN
from learner.utils import print_message, display_goals
''' PARAMETERS '''
Rmin = ... |
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