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the SMILES separated by new lines. """ with open(smiles_file, 'r') as smiles_file_fd: for line in smiles_file_fd: self.smiles.append(line.strip()) return def obtain_SMILES_from_table(self, drugbankids, drugbank_smiles_file): """ Obtains the SMILES of a drug from an input table and stores them into a list. """...
along each of the leading diagonals. 1=lst, 2=days, 3=triads. 'dlst' [scalar] LST interval (in mins) or difference between LST pairs which will be determined and used for cross-power spectrum. Will only apply if values under 'axes' contains the LST axis(=1). 'dlst_range' [scalar, numpy array, or NoneType] Spe...
#!/usr/bin/env python3 import calendar import json import os import pickle import platform import sys import unittest import warnings import yaml from io import StringIO from contextlib import redirect_stderr, redirect_stdout from collections import OrderedDict from random import randint, shuffle from jsonargparse imp...
"""Input and output (IO) of information from and to the persistence layer. Currently, input and output of both, datasets and recipes can be handled. Datasets ======== Both, data and metadata contained in datasets as well as the information stored in recipes for recipe-driven data analysis can be read and written. ...
the FLT file. """ import pyregion mask_files = glob.glob(flt_file.replace('_flt.fits','.*.mask.reg').replace('_flc.fits','.*.mask.reg').replace('_c0m.fits','.*.mask.reg').replace('_c0f.fits','.*.mask.reg')) if len(mask_files) == 0: return True logstr = '# Region mask for {0}: {1}'.format(flt_file, mask_files...
follow_val_x, '$\mathregular{^%s}\!$' % follow_val_x) # # Deal with formatting of y axis labels y_ax_lab = '' y_ax_lab_components = plot_dict['y_label'].split(' \\n ') if len(y_ax_lab_components) > 1: for k in range(len(y_ax_lab_components)): if k < len(y_ax_lab_components) - 1: y_ax_lab += y_ax_lab_components[...
outstanding perturbations in this iteration mapped_x, mapped_unnormalized_x = compute_x_after_mapping_back( domain, url_id, html, html_fname, working_dir=working_dir, browser_id=browser_id, final_domain=final_domain ) return mapped_x, mapped_unnormalized_x, original_url, url def _deprocess_x(self, x,...
= other + va assert isinstance(result2, Other) assert_equal(tuple(result2), (self.Vec2(1,0), self.Vec2(4,1), self.Vec2(6,1))) def test_add_vector_to_array(self): va = self.Vec2Array([(0,1), (2,3), (3,4)]) + self.Vec2(-2,3) assert isinstance(va, self.Vec2Array), repr(va) assert_equal(tuple(va), (self.Vec2(-2,4...
<filename>scripts/PT_WebExtractor_v2_0/extras/Merge_Inventories/Merge_PT_to_XL.py import os import sys import argparse import glob import traceback import codecs import fileinput import datetime import time import dateutil.parser as parser import csv import collections import re from StringIO import String...
REGEXP attached. """ self.__test_clean_regexp_good_h(self.STR, "1e.+") def test_clean_regexp_int_good(self): """ Testing clean() on an int with a good REGEXP attached. """ # Note that this would be a pretty dumb regexp to put on an integer! self.__test_clean_regexp_good_h(self.STR, "bar") def test_clean_rege...
<gh_stars>0 # encoding=utf8 """Particle swarm algorithm module.""" import numpy as np from niapy.algorithms.algorithm import Algorithm from niapy.util import full_array from niapy.util.repair import reflect __all__ = [ 'ParticleSwarmAlgorithm', 'ParticleSwarmOptimization', 'CenterParticleSwarmOptimization', 'Mu...
'session_token', 'uid', 'payload', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'session_token': (str,), 'uid': (int,), 'payload': (StringId,), }, 'attribute_map': { 'session_token': 'sessionToken', 'uid': 'uid',...
equivalences that go away because of cexs in cex_list""" #### global f_name #### abc('&r %s_gores.aig'%f_name) #### for j in range(len(cex_list)): #### cex_put(cex_list[j]) #### run_command('&resim') #put the jth cex into the cex space and use it to refine the equivs #### abc('&w %s_gores.aig'%f_name) #### return #### ...
<gh_stars>0 # -*- coding: utf-8 -*- """ main ==== Typical GUI screen, adapted from prior pyqt work Attributes: na Todo: * clean up docstrings (ideally to sphinx format, but to numpy/scipy minimally) Related projects: Adapted from initial toy project https://github.com/sonlexqt/whack-a-mole which is under MIT l...
"Dragon Tooth+4", 854005: "Dragon Tooth+5", 855000: "Large Club", 855001: "Large Club+1", 855002: "Large Club+2", 855003: "Large Club+3", 855004: "Large Club+4", 855005: "Large Club+5", 855006: "Large Club+6", 855007: "Large Club+7", 855008: "Large Club+8", 855009: "Large Club+9", 855010: "Large...
#!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. """Configuration file (powered by YACS).""" import os from pycls.core.io import pathmgr from yacs.config import CfgN...
UnaryExpression(Keyword('waypointloiterradius'), Array, Number), UnaryExpression(Keyword('waypointloitertype'), Array, String), UnaryExpression(Keyword('waypointname'), Array, String), UnaryExpression(Keyword('waypointposition'), Array, Array), UnaryExpression(Keyword('waypoints'), Object, Array), UnaryExpression(...
'mwot', 'n': 'wikinews', 'netvillage': 'netvillage', 'nkcells': 'nkcells', 'nomcom': 'nomcom', 'nosmoke': 'nosmoke', 'nost': 'nost', 'oeis': 'oeis', 'oldwikisource': 'oldwikisource', 'olpc': 'olpc', 'onelook': 'onelook', 'openfacts': 'openfacts', 'openstreetmap': 'openstreetmap', 'openwetware': 'openwetwar...
import math from PySide2 import QtGui from .core import Object __author__ = "<NAME>" class Point(Object): def __init__(self, x = 0, y = 0): super(Point, self).__init__() if not isinstance(x, (int, float)): x = 0 if not isinstance(y, (int, float)): y = 0 self.x = x self.y = y def __str__(self)...
<gh_stars>10-100 # encoding: utf-8 # --------------------------------------------------------------------------- # Copyright (C) 2008-2014, IPython Development Team and Enthought, Inc. # Distributed under the terms of the BSD License. See COPYING.rst. # ------------------------------------------------------------------...
+ m.x2328 + m.x2428 + m.x2528 + m.x2628 + m.x2728 + m.x2828 + m.x2928 == 1) m.c3030 = Constraint(expr= m.x29 + m.x129 + m.x229 + m.x329 + m.x429 + m.x529 + m.x629 + m.x729 + m.x829 + m.x929 + m.x1029 + m.x1129 + m.x1229 + m.x1329 + m.x1429 + m.x1529 + m.x1629 + m.x1729 + m.x1829 + m.x1929 + m.x2029 + m.x2129 + m.x2...
% l) self.save_flow(up_flow_f, '%s_flow_f_upflow' % l) self.save_flow(up_flow_b, '%s_flow_b_upflow' % l) x2_warp = self.warping_layer(x2, flow_f) x1_warp = self.warping_layer(x1, flow_b) # if norm feature if self.if_norm_before_cost_volume: x1, x2_warp = network_tools.normalize_features((x1, x2_warp), normalize=...
<filename>roboticstoolbox/blocks/arm.py import numpy as np from math import sin, cos, atan2, tan, sqrt, pi import matplotlib.pyplot as plt import time from spatialmath import base, SE3 from bdsim.components import TransferBlock, FunctionBlock, SourceBlock from bdsim.graphics import GraphicsBlock from roboticstoolbox...
<filename>tools/upgrade/errors.py # Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import itertools import json import logging import re import subprocess import sys from collections import d...
<filename>model_lr_and_gdbt_and_xgboost/feature_construct/feature_construct_part_1.py import pandas as pd import numpy as np ''' this file for data_set_part_1 ''' ##### file path # input path_df_D = "tianchi_fresh_comp_train_user.csv" path_df_part_1 = "df_part_1.csv" path_df_part_2 = "df_part_2.csv"...
annotate the item. """ return pulumi.get(self, "comment") @pulumi.output_type class LoadBalancerMonitorHeader(dict): def __init__(__self__, *, header: str, values: Sequence[str]): """ :param str header: The header name. :param Sequence[str] values: A list of string values for the header. """ pulumi.set(__se...
""" Distributed Cloud Emulator (dcemulator) (c) 2015 by <NAME> <<EMAIL>> """ import logging import site import time from subprocess import Popen import os import re import urllib2 from functools import partial from mininet.net import Containernet from mininet.node import Controller, DefaultController, OVSSwitch, OVSK...
import os import time import PIL import numpy as np import scipy.sparse import cv2 from sklearn.cluster import DBSCAN from collections import Counter #from utils.cython_bbox import bbox_overlaps #from utils.boxes_grid import get_boxes_grid #import subprocess #import cPickle #from fast_rcnn.config import cfg #import mat...
or 'application/octet-stream').split('/', 1) if maintype == 'image': att = MIMEImage(data, _subtype=subtype) else: att = MIMEBase(maintype, subtype) att.set_payload(data) encoders.encode_base64(att) att.add_header('Content-Disposition', 'attachment', filename=os.path.basename(fn)) return att def add_attachme...
be populated by parsing raw responses # - these are aggregated into project_campaign_response_summary # #tablename = "project_campaign_response" #define_table(tablename, # message_id(), # This is a component, so needs to be a super_link # - can't override field name, ondelete or requires # super_link("parameter...
<gh_stars>0 import os import sys import json import numpy as np import tensorflow as tf from tqdm import tqdm from nn import * from myLSTM import * class BaseModel(object): def __init__(self, params, mode, num_words, word2vec, idx2word): self.params = params self.mode = mode self.batch_size = params.batch_size i...
<filename>reinvent-2019/drone-zone/ground-control.py #!/usr/bin/env python import argparse import base64 import csv import json import logging import os import sys import tempfile import time import uuid import cv2 import numpy as np import olympe from AWSIoTPythonSDK.MQTTLib import AWSIoTMQTTShadowClient from AWSIoT...
: 2 * mini_batch_size] # ... # ``` # # Note that the last mini-batch might end up smaller than `mini_batch_size=64`. Let $\lfloor s \rfloor$ represents $s$ rounded down to the nearest integer (this is `math.floor(s)` in Python). If the total number of examples is not a multiple of `mini_batch_size=64` then there will ...
# -*- coding: utf-8 -*- # ----------------------------------------------------------------------------- # observingconditions - Implements ASCOM Alpaca ObservingConditions device class # # Part of the Alpyca Client application interface package # # Author: <NAME> <<EMAIL>> (rbd) # # Python Compatibility: Requires Pytho...
# -*- coding: utf-8 -*- """ Survey_Estimate3dCoord.py *************************************************************************** * * * This program is free software; you can redistribute it and/or modify * * it under the terms of the GNU General Public License as published by * * the Free Software Foundation; either ...
QubitHamiltonian = bravyi_kitaev_tree(FermionicHamiltonian) else: raise ValueError('unknown transformation') if threshold is None: return QubitHamiltonian else: from openfermion.ops import QubitOperator reduced_QubitHamiltonian = QubitOperator() for key in QubitHamiltonian.terms: if np.abs(QubitHamiltonian.te...
<filename>albaceaScript.py #!/usr/bin/env python3 ################################################################################################ # # AlbaceaScript: based on the Glacier Protocol (http://glacierprotocol.org) # # It is designed specifically for use in the context of executing the broader Glacier # Prot...
import numpy as np import scipy.io as scio import scipy.sparse as scsp import h5py as hp from util import read_mymat73, read_mymat, build_img_dataset, process_ad_dataset, mv_dataset, mv_tabular_collate, AverageMeter, save_roc_pr_curve_data, get_all_labels, \ load_print_results, filter_nan_grad, read_dataset, build_vad...
# based on x360_imports.idc by xorloser # work out which name generating function to use # # args: name of the library to get name from # version of the library to get name from # id that represents the function/data in the library # returns: generated name def DoNameGen(libName, version, id): # remove the extension...
from typing import Callable, Dict, Optional, Sequence, Tuple from functools import partial import numpy as np import torch from torch import Tensor from torch.nn import functional as F # @TODO: # after full classification metrics re-implementation, make a reference to # https://github.com/scikit-learn/scikit-learn/b...
<reponame>machinezone/kubespec<filename>kubespec/certmanager/v1alpha3.py<gh_stars>1-10 # Code is generated: DO NOT EDIT # Copyright 2019 Machine Zone, Inc. All rights reserved. # Use of this source code is governed by a BSD-style # license that can be found in the LICENSE file. from kubespec import context from kube...
import os, math, ctypes import numpy as np from OpenGL import GL from art import VERT_LENGTH from palette import MAX_COLORS # inactive layer alphas LAYER_VIS_FULL = 1 LAYER_VIS_DIM = 0.25 LAYER_VIS_NONE = 0 class TileRenderable: """ 3D visual representation of an Art. Each layer is rendered as grids of rectangula...
<gh_stars>0 from collections import defaultdict from enum import Enum, auto import logging import numpy as np from PfgUtil import debug_mode class TransformationOption(Enum): NONE = auto() AGGREGATE_CALLS = auto() VERTICAL_STACK_CPU = auto() COLLAPSE_GROUPS = auto() class ColourMode(Enum): BY_PARENT = auto() B...
""" Code take from <NAME>'s excellent python tracing library: https://github.com/donkirkby/live-py-plugin """ import argparse from ast import (fix_missing_locations, iter_fields, parse, Add, Assign, AST, Attribute, BitAnd, BitOr, BitXor, Call, Div, Ellipsis, ExceptHandler, Expr, ExtSlice, FloorDiv, ImportFrom, Inde...
have a cache, return *None* """ if node in self.model.cache: return self.model.cache[node].has(content) def local_cache_lookup(self, node, content): """Check if the local cache of a node has a content object, without changing the internal state of the cache. The local cache is an area of the cache of a node re...
<gh_stars>1-10 import importlib import os.path import warnings import numpy as np import pysb from pysb.simulator import ScipyOdeSimulator from scipy.stats import norm, uniform from ..sampled_parameter import SampledParameter default_solver = ScipyOdeSimulator def is_numbers(inputString): return all(char.isdigit()...
a freq argument as current index has none." raise ValueError(msg) if freq is None: freq = self.freq return PeriodIndex(self.values, freq=freq) def order(self, return_indexer=False, ascending=True): """ Return sorted copy of Index """ if return_indexer: _as = self.argsort() if not ascending: _as = _as[::-...
returned by getList.""" result = _convert_dict( asset, { 'name': 'id', }, defaults={'type': 'Image'}) return result def _convert_asset_type_for_get_list_result(asset_type): """Converts an EarthEngineAsset.Type to the format returned by getList.""" return _convert_value( asset_type, { 'IMAGE': 'Image', 'IMA...
raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_members_id_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_m...
2min and 30 min data two_minute = [327587572,247923021,149505899,147921014,471015233,383553764,166698220, 41232189,298165335,198456033,181240911,165370459,219752116,27533327, 39464221,441120034,140282069,32869782,365653206,229980646] thirty_minute = [219820925,229945862,440765193,8591766,417544924,144599609,2074404...
import codecs import csv from io import StringIO, BytesIO from unittest.mock import MagicMock from zipfile import ZipFile import pytest from export.enums import FileFormat from logs.logic.reporting.filters import ( DateDimensionFilter, ForeignKeyDimensionFilter, ExplicitDimensionFilter, ) from logs.logic.reporting...
<filename>code/multidop_time.py<gh_stars>0 import matplotlib # Needed for Blues matplotlib.use('agg') from matplotlib import rcParams from matplotlib import pyplot as plt # PyART import pyart import gzip import sys from scipy import ndimage import shutil, os from datetime import timedelta, datetime import numpy as np i...
# FileName:AWGboard.py # Author: # E-mail: # All right reserved. # Modified: 2019.2.18 # Description:The class of AWG import os import socket import time import numpy as np from . import AWGBoardDefines # import AWGBoardDefines import struct from itertools import repeat awg_para = { '000423' : [[1.030,1.025,1.018,1....
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sun Apr 5 09:10:58 2020 Module for visualising Metrica tracking and event data Data can be found at: https://github.com/metrica-sports/sample-data @author: <NAME> (@EightyFivePoint) """ import matplotlib.pyplot as plt import numpy as np import matplotlib...
from smartvadhis2.cli import remove_keys, print_error_categories def test_remove_keys(): metadata = { "programStages": [ { "lastUpdated": "2018-04-19T13:38:20.185", "id": "pQ8gaWKD3pi", "created": "2018-03-07T19:31:51.060", "name": "<NAME>", "executionDateLabel": "Date of death", "allowGenerateNextVisit": Fa...
#!/usr/bin/env """ Read in two extracted light curves (interest band and reference band), split into segments, compute the power spectra per band and cross spectrum of each segment, averages cross spectrum of all the segments, and computes frequency lags between the two bands. Example call: python simple_cross_spectra...
<reponame>CUAHSI/qa-automation-engine<gh_stars>1-10 """ Runs various smoke tests for the data.cuahsi.org """ from hc_macros import ( Search, Marker, Services, Keywords, Advanced, Filter, About, QuickStart, Zendesk, Workspace, ResourceCreator, ) from hc_elements import ZendeskArticlePage from cuahsi_base.uti...
<gh_stars>1-10 # coding=utf-8 # Copyright 2019 The Open AI Team Authors and The HuggingFace Inc. team. # # 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/LICEN...
settings are in default_hparams() function in mask_rcnn_params.py. labels: The input labels in a dictionary. The labels include groundtruth masks, boxes and classes. class_targets: A tensor with a shape of [batch_size, batch_size_per_im, num_classes] representing the classification target of each object. box_targe...
with density sensor.""" xknx = XKNX() sensor = Sensor( xknx, "TestSensor", group_address_state="1/2/3", value_type="density" ) sensor.sensor_value.payload = DPTArray( ( 0x44, 0xA5, 0xCB, 0x27, ) ) self.assertEqual(sensor.resolve_state(), 1326.3485107421875) self.assertEqual(sensor.unit_of_measurement(), ...
from django.db import transaction from django.db.models import Q from rest_framework import exceptions from rest_framework.serializers import ( CharField, DateField, FloatField, IntegerField, ListField, PrimaryKeyRelatedField, ) from ..core import serializers from . import models, validators from .jexl import Qu...
shape[axis] = mult.shape[axis] mult = mult.reshape(shape) return (digits * mult).sum(axis=axis, keepdims=keepdims) def numbers_to_digits(numbers, n_digits, base=10): """ Convert number to array of digits, assumed little-endian. """ numbers = numbers.copy() digits = [] for i in range(n_digits): digits.append(nu...
""" Removes a template. Returns: dict: """ return self._router_request( self._make_request_data( 'deleteTemplate', dict(uid=self.uid), ) ) def get_data_sources(self): """ Gets data sources configured for a template. Returns: list(ZenossDataSource): """ ds_data = self._router_request( self._make_req...
# don't want to modify the original (there's a big # chance that we break it). # Copy it every time, because the source file might # have changed since last time we ran. assert file.filename.exists(), "File doesn't exist: %s" % file.filename tmpfile = Filename.temporary('', "p3d_" + file.filename.getBasename()) ...
list of locales for available DisplayText translations that can be performed using this form. return: (osid.locale.LocaleList) - a list of available locales or an empty list if no translation operations are available compliance: mandatory - This method must be implemented. """ raise Unimplemented() def set_l...
<reponame>xuuuuuuchen/PASTA import tensorflow as tf def Combining_Affine_Para(tensors): imgs = tensors[0] array = tensors[1] n_batch = tf.shape(imgs)[0] tx = tf.squeeze(tf.slice(array, [0,0], [n_batch, 1]), 1) ty = tf.squeeze(tf.slice(array, [0,1], [n_batch, 1]), 1) sin0 = tf.squeeze(tf.slice(array, [0,2...
#!/bin/env python3 """Main executable for running puppetmaster.""" import bisect import json import os import random import statistics from argparse import ArgumentParser, Namespace from multiprocessing import Pool from pathlib import PurePath from typing import Dict, List, Sequence, Set try: import matplotlib.pyplot...
import moderngl from .p4dyna.equation import Equation from numpy.random import random class ParticleSystem: def __init__(self, game, brender, fname, target, miss, move_data): self.game = game self.brender = brender # meh self.N = 500000 self.particles = 0 self.fname = fname self.target = target self.miss = mi...
# coding: utf-8 # # Copyright 2017 The Oppia 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 # # Unless required b...
<gh_stars>100-1000 import numpy as np import torch.nn as nn from mmcv.cnn import normal_init from ..registry import HEADS from ..utils import ConvModule, bias_init_with_prob from .anchor_head import AnchorHead import torch import torch.nn as nn import torch.nn.functional as F from ..losses import sigmoid_focal_loss,...
from __future__ import division import logging try: from Queue import Empty except: from queue import Empty from redis import StrictRedis from time import time, sleep from threading import Thread from collections import defaultdict # @modified 20190522 - Task #3034: Reduce multiprocessing Manager list usage # Use Red...
ticket_dependences=ticket_dependences_code_list) if form.is_valid(): main_ticket = form.cleaned_data['ticket'] note = form.cleaned_data['note'] if Ticket2Ticket.main_is_already_used(main_ticket): messages.add_message(request, messages.ERROR, _("La dipendenza non può essere aggiunta. " "La richiesta <b>{}</b> è d...
#!/usr/bin/env python3 """ Helper functions and classes for GUI controls """ import logging import re import tkinter as tk from tkinter import ttk from itertools import zip_longest from functools import partial from .tooltip import Tooltip from .utils import ContextMenu, FileHandler, get_config, get_images logger = ...
<gh_stars>0 #!/usr/bin/env python3 # Copyright (c) 2022 <NAME>. All rights reserved # coding=utf-8 # -*- coding: utf8 -* # reference [1]: https://zhuanlan.zhihu.com/p/22252270 # reference [2]: https://zh.d2l.ai/chapter_optimization/adadelta.html import copy import numpy as np try: from OptimizerClass import Iterat...
import sys import logging import time import argparse import os import shutil import tarfile import subprocess sys.path.append(".") try: from . import util from . import configuration except: import util import configuration def process_hl7_shell_commands(my_config, target_file): process_shell_commands(my_conf...
from logging import PlaceHolder from sqlite3 import Cursor import streamlit as st from hydralit import HydraHeadApp from db import db_conn as oracle_db import streamlit as st import pandas as pd import numpy as np import datetime import altair as alt import pydeck as pdk from PIL import Image import matplotlib.pyplot a...
import re import xml.etree.ElementTree as ET from os import path from collections import Counter import argparse import csv import json import os import random # package local imports import sys import uuid import matplotlib.pyplot as plt import math from dateutil.parser import parse from tdigest import TDigest impo...
well_id_to_cell_map_48 = { 1: { 'col_and_row': u'A1', 'row': 1, 'col': 1, 'well_id': 1, }, 2: { 'col_and_row': u'A2', 'row': 1, 'col': 2, 'well_id': 2, }, 3: { 'col_and_row': u'A3', 'row': 1, 'col': 3, 'well_id': 3, }, 4: { 'col_and_row': u'A4', 'row': 1, 'col': 4, 'well_id': 4, }, 5: { '...
""" Contains the abstraction for a commit in GitLab. """ from typing import Optional from typing import Set from typing import Union from urllib.parse import quote_plus from IGitt import ElementDoesntExistError from IGitt.GitHub.GitHubCommit import get_diff_index from IGitt.GitLab import GitLabMixin from IGitt.GitLab ...
# -*- coding: utf-8 -*- ########################################################################### ## Python code generated with wxFormBuilder (version 3.10.1-0-g8feb16b3) ## http://www.wxformbuilder.org/ ## ## PLEASE DO *NOT* EDIT THIS FILE! ###########################################################################...
#!/usr/bin/env python # Functions: # parse_phenotypes # parse_groups # parse_ignore_samples # # ignore_samples # calc_association # center_scores # # write_prism_file # plot_boxplot # plot_waterfall def parse_phenotypes(phenotypes): # list of phenotypes. # e.g. ["STEM", "EMT"] # Return (potentially empty) list of...
<gh_stars>0 # Licensed to Elasticsearch B.V. under one or more contributor # license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright # ownership. Elasticsearch B.V. licenses this file to you under # the Apache License, Version 2.0 (the "License"); you may # no...
helix: int """index of the :any:`Helix` on which this :any:`Domain` resides.""" forward: bool """Whether the strand "points" forward (i.e., its 3' end has a larger offset than its 5' end). If :any:`Domain.forward` is ``True``, then :any:`Domain.start` is the 5' end of the :any:`Domain` and :any:`Domain.end` is...
drug scores. @param method str: normalize by the average or max within the vectors @return Returns None """ # dimensions include drugs or features (e.g. "proteins") # methods are average ('avg') or max ('max') dvs = {} # drug vectors cc = 0 if dimension == 'drugs': for vec in self.values: for vi in range(len(...
<reponame>cmc333333/parsons import logging import re from parsons.etl import Table from parsons.utilities import check_env from parsons.utilities.api_connector import APIConnector logger = logging.getLogger(__name__) class Mailchimp(): """ Instantiate Mailchimp Class `Args:` api_key: The Mailchimp-provided app...
the URL to check it is indeed on the domain - Issue the URL to check effective roles on project1 - this should return 3 roles. """ role_list = [] for _ in range(4): role = unit.new_role_ref() PROVIDERS.role_api.create_role(role['id'], role) role_list.append(role) domain = unit.new_domain_ref() PROVIDERS.res...
f.write(bygene_lorad_conf_contents) f.close() bygene_gss_conf_template = open('conf-bygene-gss-template.txt','r').read() bygene_gss_conf_filename = os.path.join(bygene_gss_dir,'lorad-gss.conf') bygene_gss_conf_contents = re.sub('__FIRST_SITE_COI__', '1', bygene_gss_conf_template, re.M | re.S) bygene_gss_conf_cont...
"out_right_tag_with-conflict_with-rerun" target.TaggedOutputLocalTarget._already_changed = False # Wait for the beginning of the next second pause.until(int(time.time()) + 1.01) # The t1 task has no conflict # Note that we have to specify the prefix in the target to avoid conflict. If we do not, # the default p...
<filename>pirates/economy/SimpleStoreGUI.py from direct.directnotify.DirectNotifyGlobal import directNotify from direct.gui.DirectGui import * from pandac.PandaModules import * from pirates.ai import HolidayGlobals from pirates.battle import WeaponGlobals from pirates.economy import EconomyGlobals from pirates.economy....
new input parameter vector for the predator prey and grass model. Population max 5000, Energy gains max 200, reproduction chance max 0.25 def generate_parameter_vector(lim): new = [0]*len(lim) for i in range(len(lim)): if type(lim[i][0])==int: new[i] = str(int(random.uniform(lim[i][0],lim[i][1]))) else: new[i] = ...
<filename>panoptic_benchmark/structures/segmentation_mask.py import cv2 import copy import torch import numpy as np from panoptic_benchmark.layers.misc import interpolate import pycocotools.mask as mask_utils # transpose FLIP_LEFT_RIGHT = 0 FLIP_TOP_BOTTOM = 1 """ ABSTRACT Segmentations come in either: 1) Binary ma...
<filename>BesselHelmert.py ################### # A "plugin like" implementation of the Bessel Helmert tab for trui # simlk, March 2013 ################### # Copyright (c) 2013, National Geodata Agency, Denmark # (Geodatastyrelsen), <EMAIL> # # Permission to use, copy, modify, and/or distribute this software for any # p...
oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__clas...
self.device1 = Mock(**self.empty_output) ipv6_vrf_all_interface_obj = ShowIpv6VrfAllInterface(device=self.device1) with self.assertRaises(SchemaEmptyParserError): parsed_output = ipv6_vrf_all_interface_obj.parse() def test_golden(self): self.device = Mock(**self.golden_output) ipv6_vrf_all_interface_obj = ShowIp...
xlabelname=None, format='png'): """Plotting decoding of the response with respect to dose. Params ------ df : `DataFrame` Table with columns=[perturbation_key, contvar_key, response_name]. The last column is always "response". contvar_key : str Name of the column in df for values to use for x axis. perturba...
True to negate the shifted points. Returns ------- ndata : ndarray Array of shifted NMR data. """ return roll(data, pts, neg) def roll(data, pts=0.0, neg=False): """ Roll axis Parameters ---------- data : ndarray Array of NMR data. pts : int Number of points to shift. Positive value will right shift ...
<gh_stars>10-100 ''' Jabber Protocol. ''' from common import pref, netcall from digsby.loadbalance import DigsbyLoadBalanceManager from hashlib import sha256 from jabber.JabberProtocol import JabberProtocol from jabber.threadstream import ThreadStream from logging import getLogger from peak.util.imports import lazyMod...
<reponame>JetBrains-Research/pubtrends import logging import numpy as np import pandas as pd from networkx.readwrite import json_graph from sklearn.decomposition import PCA from sklearn.manifold import TSNE from sklearn.preprocessing import StandardScaler from pysrc.papers.analysis.citations import find_top_cited_pap...
#!/usr/bin/env python """The classes in this module aid the specification of tally `units` in :py:class:`pyne.simplesim.cards.ICellSurfTally` (see examples below). The class focuses on the ability to specify cells and surfaces that are nested within universes or other cells in nearly arbitrarily complex ways. Apart fr...
genes for the junctions that aren't in our # database. We can associate each start and end with a gene and use this. start_gene = dict(zip(extDF['chrom:start'], extDF.gene)) end_gene = dict(zip(extDF['chrom:end'], extDF.gene)) genes = [] for ind in annotDF[annotDF.ext_annotated == False].index: cur_start = anno...