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from config.utils import * from collections import defaultdict import config.anchor as anchor import time class MatchEngine(object): """A class that handles the book-keeping for the matching process. Attributes ---------- logger (logger): elementals logger instance disas (disassembler): disassembler layer handle...
<reponame>wpj1530882136/RCDemo<gh_stars>0 # -*- coding:utf8 -*- # ============================================================================== # Copyright 2017 Baidu.com, Inc. All Rights Reserved # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with ...
#!/usr/bin/env python """Make ATLAS Stamps in the context of the transient server database. Usage: %s <configfile> [<candidate>...] [--detectionlist=<detectionlist>] [--customlist=<customlist>] [--limit=<limit>] [--earliest] [--nondetections] [--discoverylimit=<discoverylimit>] [--lastdetectionlimit=<lastdetectionlim...
<reponame>alexbowers/pulumi-aws # coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence...
import logging import json import glob import pandas as pd import multiprocessing import numpy as np from sklearn.ensemble import RandomForestClassifier from sklearn.ensemble import ExtraTreesClassifier from sklearn.tree import DecisionTreeClassifier from sklearn.ensemble import AdaBoostClassifier from sklearn.metrics...
<gh_stars>1-10 ########################################################################## # # Copyright (c) 2012, <NAME>. All rights reserved. # Copyright (c) 2013, Image Engine Design Inc. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided...
= rest_get(host, secure_boot_uri, None, iLO_loginname, iLO_password) # if the BIOS doesn't support PATCH, go get the Settings, which should if not operation_allowed(headers, 'PATCH'): # this is GET-only secure_boot_uri = secure_boot_settings['links']['Settings']['href'] status, headers, boot_settings = rest_get(ho...
# Copyright 2015 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 # # Unless required by applicable ...
<reponame>r1mikey/research-unix-v7 #!/usr/bin/env python3 from collections import deque import os import time import sys import struct """ struct filsys { u16 s_isize; /* size in blocks of i-list */ v7_daddr_t s_fsize; /* size in blocks of entire volume */ i16 s_nfree; /* number of addresses in s_free */ v7_daddr...
available versions are: - 2021-12-16 - 2021-01-21 - 2021-11-15 - 2021-12-06 """ return AutomaticallyRetrievedGraph( "RXNO", version, "kgobo", directed, preprocess, load_nodes, load_node_types, load_edge_weights, auto_enable_tradeoffs, sort_tmp_dir, verbose, cache, cache_path, cache_sys_var, kwargs )()...
v S^2) Defn: [v_0, sigma_2] --> [*, sigma_2] sage: W.projection_map(1) Simplicial set morphism: From: Wedge: (S^2 v S^3 v S^2) To: Quotient: (Wedge: (S^2 v S^3 v S^2)/Simplicial set with 3 non-degenerate simplices) Defn: [*, sigma_2, sigma_2, sigma_3] --> [*, s_1 s_0 *, s_1 s_0 *, sigma_3] Note that the codomai...
import json from django.core import mail from .. import test from ...acl.test import patch_user_acl from ...users.test import create_test_user from ..models import Thread, ThreadParticipant from ..test import other_user_cant_use_private_threads from .test_privatethreads import PrivateThreadsTestCase class PrivateTh...
<filename>neo4j/aio/__init__.py #!/usr/bin/env python # -*- encoding: utf-8 -*- # Copyright (c) 2002-2019 "Neo4j," # Neo4j Sweden AB [http://neo4j.com] # # This file is part of Neo4j. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. ...
'wcfg':{'bd':6}, 'gridcfg':{'sticky':tkinter.E+tkinter.W, 'column': 3, 'row':-1,'columnspan':3}, 'command':self.Close_cb}) def setNumEvals(self, event=None): t = self.ifd.entryByName['run_type']['widget'].get() self.ga_num_evals.set(self.runDict[t]) self.runType.set(t) def set_crossover_mode(self, event=None...
# Copyright (c) 2022, NVIDIA CORPORATION. # 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 wr...
<reponame>yjbanov/chromium_build<filename>scripts/slave/recipe_modules/v8/testing.py<gh_stars>0 # Copyright 2015 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import re from recipe_engine.types import freeze TEST_CONFI...
label = 'Tumor-Normal-{}'.format(tissue) else: n = gtex[gtex.tissue == tissue][gene].median() label = 'Tumor-GTEx-{}'.format(tissue) # Calculate l2fc for each tumor sample and save l2fcs = [] for i, row in tumor[tumor.tissue == tissue].iterrows(): l2fcs.append(log2fc(row[gene], n)) # Create distribution dist...
""" Modular ball chaser robot. To play yourself, type: python modular_ball_chaser.py Created by <NAME>. Licensed on the same terms as the rest of OpenAI Gym. Modified by <NAME>. """ import numpy as np import Box2D from Box2D.b2 import fixtureDef from Box2D.b2 import circleShape from Box2D.b2 import polygonShape fro...
# -*- coding: utf-8 -*- """ eve.flaskapp ~~~~~~~~~~~~ This module implements the central WSGI application object as a Flask subclass. :copyright: (c) 2013 by <NAME>. :license: BSD, see LICENSE for more details. """ import eve import sys import os from flask import Flask from werkzeug.routing import BaseConver...
"metadataonly", ("prop", "1943:309"): "metadataonly", ("prop", "1943:31"): "metadataonly", ("prop", "1943:310"): "metadataonly", ("prop", "1943:311"): "metadataonly", ("prop", "1943:312"): "metadataonly", ("prop", "1943:313"): "metadataonly", ("prop", "1943:314"): "metadataonly", ("prop", "1943:315"): "metadata...
as uuid on user.id = uuid.user_id where uuid.uuid = '%s' """ % uuid try: cur.execute(sql) except sqltool.Error as e: funct.out_error(e) else: for user_id in cur.fetchall(): return user_id[0] cur.close() con.close() def get_user_telegram_by_uuid(uuid): con, cur = get_cur() sql = """ select telegram....
style.A.update({'type':'text/css'}) >>> html = style.render() >>> a = '<style type="text/css">body { margin:4px; } p { color:blue; }</style>' >>> b = '<style type="text/css">p { color:blue; } body { margin:4px; }</style>' >>> html in (a,b) # order is indeterminate, so test both ways True >>> Style(body=dict(_moz_...
import base64 import json import uuid from abc import ABCMeta, abstractmethod # Abstract Base Class import logging from typing import List, Union, Dict, Any from nexinfosys import Issue, IssuesOutputPairType from nexinfosys.common.helper import create_dictionary, PartialRetrievalDictionary logger = logging.getLogger...
# This file is part of PRAW. # # PRAW 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 version 3 of the License, or (at your option) any later # version. # # PRAW is distributed in the hope that i...
the Android ' 'NDK, not that you don\'t have a normal compiler ' 'installed. Exiting.') exit(1) env['CC'] = '{toolchain_prefix}-gcc {cflags}'.format( toolchain_prefix=toolchain_prefix, cflags=env['CFLAGS']) env['CXX'] = '{toolchain_prefix}-g++ {cxxflags}'.format( toolchain_prefix=toolchain_prefix, cxxflags=en...
try: iwd = Path(job_ad["iwd"]) except KeyError: raise KeyError("Could not find iwd in job ad.") return iwd / container_image def annex_inner_func( logger, annex_name, nodes, lifetime, allocation, queue_at_machine, owners, collector, token_file, password_file, ssh_target, control_path, cpus, mem_mb,...
from enum import Enum, auto import itertools from .figure import Figure, Circle from .scene import Scene from .util import Comment, divide, normalize_number, keys_for_triangle class Property: def __init__(self, property_key, point_set): self.implications = [] self.property_key = property_key self.point_set = poin...
<reponame>joschabach/micropsi2<filename>micropsi_core/nodenet/native_modules.py """ Builtin native modules Currently contains * GradientDescent for 3 layers (input, hidden, outpu) * GradientDescent for LSTMS """ import os nodetypes = {} try: import numpy as np import theano numpy_installed = True except Import...
<filename>src/panfrost/bifrost/valhall/valhall.py #encoding=utf-8 # Copyright (C) 2016 Intel Corporation # Copyright (C) 2016 Broadcom # Copyright (C) 2020 Collabora, Ltd. # # Permission is hereby granted, free of charge, to any person obtaining a # copy of this software and associated documentation files (the "Softwa...
<filename>rpython/jit/backend/llvm/llvm_api.py<gh_stars>1-10 from rpython.rtyper.lltypesystem import rffi, lltype from rpython.translator.tool.cbuild import ExternalCompilationInfo from rpython.rtyper.lltypesystem.rffi import str2constcharp, constcharp2str class LLVMAPI: def __init__(self, debug=False): self.debug =...
import argparse import time import pickle import os import json import numpy as np # import matplotlib.pyplot as plt import matplotlib as mpl mpl.use('Agg') import matplotlib.pyplot as plt import tensorflow as tf import tensorflow_probability as tfp from utils import plot_mnist, generate_init_inducing_points, import_...
value=None): """Corresponds to IDD field `Drift Loss Fraction`""" self["Drift Loss Fraction"] = value @property def blowdown_concentration_ratio(self): """field `Blowdown Concentration Ratio` | Characterizes the rate of blowdown in the evaporative cooler. | Blowdown is water intentionally drained from the cool...
word[6] == "n" : toGuess = toGuess[:6] + "n" + toGuess[7:] if word[1] != "N" and word[1] != "n" and word[2] != "N" and word[2] != "n" and word[3] != "N" and word[3] != "n" and word[4] != "N" and word[4] != "n" and word[5] != "N" and word[5] != "n" and word[6] != "N" and word[6] != "n" : print("\nWrong!\n") ...
(120.4679, 0.48156900000000002), (40.980319999999999, 0.34456520000000002)]), ('S', [(786.28520000000003, 0.0024518629999999999), (186.887, 0.032595789999999999), (60.009349999999998, 0.1238242), (22.25883, -0.043598900000000003), (8.8851490000000002, -0.61771810000000005), (3.6092110000000002, -0.4432823000000...
. is_exact_match ( address ) ) : return ( OooOoOoo0OOoo ) if 32 - 32: OoooooooOO . I1Ii111 - I1ii11iIi11i return ( None ) if 29 - 29: OoO0O00 if 33 - 33: I1ii11iIi11i - O0 if 72 - 72: Oo0Ooo * iII111i - I11i if 81 - 81: I1Ii111 if 85 - 85: O0 % OoOoOO00 . I1ii11iIi11i if 46 - 46: OOooOOo * iIii1I11I1II1 if 33 ...
<filename>tests/integration/test_s3.py import io import os import ssl import boto3 import gzip import json import time import uuid import unittest import datetime import requests from io import BytesIO from pytz import timezone from urllib.parse import parse_qs, quote from botocore.exceptions import ClientError from si...
:param cloned_requirements_count: Number of Requirments cloned so far. :type cloned_requirements_count: int :param cloned_shared_steps_count: Number of shared steps cloned so far. :type cloned_shared_steps_count: int :param cloned_test_cases_count: Number of test cases cloned so far :type cloned_test_cases_count: ...
del_objects=del_objects) def delete_object(self, container, obj): """ Deletes the object from the specified container. The 'obj' parameter can either be the name of the object, or a StorageObject representing the object to be deleted. """ return self._manager.delete_object(container, obj) def copy_object(s...
<filename>qiskit/providers/ibmq/experiment/ibm_experiment_service.py<gh_stars>100-1000 # This code is part of Qiskit. # # (C) Copyright IBM 2021. # # This code is licensed under the Apache License, Version 2.0. You may # obtain a copy of this license in the LICENSE.txt file in the root directory # of this source tree o...
self._md_template.translate_cols_dict.values(): handler = ( lambda x: self._md_template.str_cols_handlers[key][x]) key = "%s_id" % key # Check if we have either to query the table with required columns # or the dynamic table if key in get_table_cols(self._table, conn_handler): result = conn_handler.execute_fetch...
values include: "Default", "Copy", "Secondary", "PointInTimeRestore", "Restore", "Recovery", "RestoreExternalBackup", "RestoreExternalBackupSecondary", "RestoreLongTermRetentionBackup", "OnlineSecondary". :type create_mode: str or ~azure.mgmt.sql.models.CreateMode :param collation: The collation of the database. :...
import numpy as np import matplotlib.pyplot as plt from qibo.models import Circuit from qibo import gates import aux_functions as aux def rw_circuit(qubits, parameters, X=True): """Circuit that implements the amplitude distributor part of the option pricing algorithm. Args: qubits (int): number of qubits used for ...
""" jobs.py - base notification routines Author <NAME> <<EMAIL>> License Copyright (c) 2010-2012 Massachusetts Institute of Technology. MIT License (cf. MIT-LICENSE.txt or http://www.opensource.org/licenses/mit-license.php) """ import sys,os import datetime if "." not in sys.path: sys.path.append(".") if "DJANG...
df = df.dropna(subset=[CN.cdr3b, CN.epitope]) df = df[ (df[CN.cdr3b].map(is_valid_aaseq)) & (df[CN.epitope].map(is_valid_aaseq)) ] logger.debug('Current df_enc.shape: %s' % str(df.shape)) logger.debug('Loaded Zhang data. Current df_enc.shape: %s' % str(df.shape)) return df class IEDBTCREpitopeDFLoader(FileTCRE...
to shift and scale the distribution. Specifically, this is equivalent to computing :math:`f(y)` where :math:`y=(x-loc)/scale`. **Inputs:** * **loc** (`float`): location parameter * **scale** (`float`): scale parameter The following methods are available for ``Rayleigh``: * ``cdf``, ``pdf``, ``log_pdf``, ``i...
import numpy as np import matplotlib as mpl if os.environ.get('DISPLAY','') == '': print('no display found. Using non-interactive Agg backend') mpl.use('Agg') import matplotlib.pyplot as plt from matplotlib.lines import Line2D import paths import counterfactuals.infrastructurefunctions as infr import counterfactua...
<reponame>schnusch/nimble2nix #!/usr/bin/env nix-shell #!nix-shell -i python3 -p git nim nix-prefetch-git python3Packages.packaging import argparse import contextlib from functools import cache import itertools import json import logging import os import shlex import subprocess import sys import tempfile import urllib....
else: v_sql = v_sql.replace('--#FILTER_PATTERN_REGEX_CASE_INSENSITIVE#', '').replace('#VALUE_PATTERN_REGEX_CASE_INSENSITIVE#', p_textPattern.replace("'", "''")) else: if p_caseSentive: v_sql = v_sql.replace('--#FILTER_PATTERN_CASE_SENSITIVE#', '').replace('#VALUE_PATTERN_CASE_SENSITIVE#', p_textPattern.replace("'",...
assert isinstance(event, Event) assert isinstance(event.assoc, Association) assert isinstance(event.timestamp, datetime) assert event.event.name == 'EVT_ABORTED' scp.shutdown() def test_abort_bind(self): """Test binding a handler to EVT_ABORTED.""" triggered = [] def handle(event): triggered.append(event) ...
need any diffs if not self.produce_diffs: return {} result = {} for col in self.diff_generator_data: # Only process attributes for which out it set. attname = col['out'] incol = (col['in'] if 'in' in col and col['in'] else attname) # if diff is False = copy the attribute as is. if 'diff' in col and col['diff']...
label='IMF 1 with 11 knots') axs[2].plot(time, imfs_31[2, :], label='IMF 2 with 31 knots') axs[2].plot(time, imfs_51[3, :], label='IMF 3 with 51 knots') for knot in knots_11: axs[2].plot(knot * np.ones(101), np.linspace(-5, 5, 101), '--', c='grey', zorder=1) axs[2].plot(knot * np.ones(101), np.linspace(-5, 5, 101), '-...
str): lines.append(Line(x=args[i], y=args[i+1], format=args[i+2])) i = i+3 else: lines.append(Line(y=args[i+1], x=args[i], format='')) i = i+2 # Next element is str --> no x-value else: lines.append(Line(y=args[i], x='auto', format=args[i+1])) i = i+2 # These last cases could be run outside the while l...
<filename>pycrud/query.py import dataclasses import json from dataclasses import dataclass, field from typing import List, Union, Set, Dict, Any, Type, Mapping from typing_extensions import Literal from pycrud.const import QUERY_OP_COMPARE, QUERY_OP_RELATION, QUERY_OP_FROM_TXT from pycrud.error import UnknownQueryOpe...
<reponame>ujjwalsh/CSB<filename>csb/bio/fragments/rosetta.py """ Rosetta fragment libraries. This module defines the L{RosettaFragmentMap} objects, which describes a fragment library in Rosetta NNmake format. L{RosettaFragmentMap} has a static factory method for building a library from a fragment file: >>> Rosetta...
<filename>Dietscheduler/lib/diet_sched.py from pulp import * from collections import defaultdict import json import math import itertools import datetime class Menu: '''class for all menues to be built''' def __init__(self): self.status = False def calculate_menu(self,food_database,groups,exclude_list...
""" In fit phase, only select motifs. table: start index, weight, column it applies to, and count of rows that follow motif slice into possible motifs compare motifs (efficiently) choose the motifs to use for each series if not shared, can drop column part of index ref combine the following values into forecasts...
tok in break_tokens: if tok in tokenizer.encode(tokenizer._eos_token): continue new_tokens.append(tok) # ipdb.set_trace() response = tokenizer.decode(new_tokens).strip(' ,.') return response def convert_belief(belief): dic = {} for bs in belief: if bs in [' ', '']: continue domain = bs.split(' ')[0] slot ...
SLIDE MICROSCOPY IOD': ['Series'], '12-LEAD ECG IOD': ['Series'], 'MR IMAGE IOD': ['Series'], 'ENHANCED MR COLOR IMAGE IOD': ['Series'], 'ENHANCED CT IMAGE IOD': ['Series'], 'XRF IMAGE IOD': ['Series'], 'RESPIRATORY WAVEFORM IOD': ['Series'], 'GENERAL AUDIO WAVEFORM IOD': ['Series'], 'GRAYSCALE SOFTCOPY PRESENT...
<gh_stars>1-10 """ Contains for for Gaussian process Bayesian optimization """ import logging import random import pprint import heapq from typing import Union import numpy as np import torch from function_utils import CachedFunction, CachedBatchFunction from gp import TanimotoGP, batch_predict_mu_var_numpy from gra...
<reponame>armel/RRFDisplay #!/usr/bin/env python3 # -*- coding: utf-8 -*- ''' RRFDisplay version Raspberry Pi 3B et Orange Pi Zero Learn more about RRF on https://f5nlg.wordpress.com Check video about RRFDisplay on https://www.youtube.com/watch?v=rVW8xczVpEo 73 & 88 de F4HWN Armel ''' import settings as s import lib ...
np.cos(drive_cell[t - 1]))) * ((1.0 - s_de[:, t - 1]) / self.tau_R)) s_db[:, t] = s_db[:, t - 1] + self.dt * (-1.0 * (s_db[:, t - 1] / self.tau_ex) + np.exp( -1.0 * self.eta * (1 + np.cos(drive_cell[t - 1]))) * ((1.0 - s_db[:, t - 1]) / self.tau_R)) s_dc[:, t] = s_dc[:, t - 1] + self.dt * (-1.0 * (s_dc[:, t - 1] ...
+f on the 2-dimensional topological manifold M sage: g == f True """ result = type(self)(self.parent()) for chart in self._express: result._express[chart] = + self._express[chart] if self._name is not None: result._name = '+' + self._name if self._latex_name is not None: result._latex_name = '+' + self._late...
import numpy as np def length(x, axis=-1, keepdims=True): """ Computes vector norm along a tensor axis(axes) :param x: tensor :param axis: axis(axes) along which to compute the norm :param keepdims: indicates if the dimension(s) on axis should be kept :return: The length or vector of lengths. """ lgth = np.sqr...
<reponame>chuckyin/Instruments # coding=utf-8 # ============================================================================= # Copyright © 2017 FLIR Integrated Imaging Solutions, Inc. All Rights Reserved. # # This software is the confidential and proprietary information of FLIR # Integrated Imaging Solutions, Inc. ("C...
else: self.largest_mcs_mmp_result[(molid_L, molid_R)] = [ (self.ref_smi_props[ctx_id], ), (ctx_id, ), frag_L_id, frag_R_id] # now build the final results on the fly # double - for each one we compare against what we already have in self.largest_mcs_mmp_result ctx_natoms = None if cut_type_id >= 2: for molid_...
<reponame>cdmacfadyen/MedPicPy<gh_stars>1-10 """medpicpy's higher level functions to abstract over reading in medical imaging data """ import glob from pathlib import Path from os.path import normpath import pandas as pd import numpy as np import cv2 import logging from . import io from .utils import remove_sub_pat...
'Yulin, Guangxi', 'zh': u('\u5e7f\u897f\u7389\u6797\u5e02')}, '861777614':{'en': 'Yulin, Guangxi', 'zh': u('\u5e7f\u897f\u7389\u6797\u5e02')}, '861777615':{'en': 'Yulin, Guangxi', 'zh': u('\u5e7f\u897f\u7389\u6797\u5e02')}, '861777616':{'en': 'Baise, Guangxi', 'zh': u('\u5e7f\u897f\u767e\u8272\u5e02')}, '861777617'...
<reponame>ndessart/olympe<gh_stars>0 # -*- coding: UTF-8 -*- # Copyright (C) 2019 Parrot Drones SAS # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # * Redistributions of source code must retain the above copyright #...
""" Operative and Processing Interface - OPI module of SOSim application. Copyright (C) 2019 <NAME> & <NAME> This file is part of SOSim - Subsurface Oil Simulator. SOSim 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 F...
"""Implements a class for Latin Square puzzles. A Latin Square is a square grid of numbers from 1..N, where a number may not be repeated in the same row or column. Such squares form the basis of puzzles like Sudoku, Kenken(tm), and their variants. Classes: LatinSquare: Implements a square puzzle constrained by not r...
################################################################################ # Copyright (c) 2017 <NAME>, <NAME>, <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 restricti...
[False, True]) def test_numpy_properties(self): data = np.arange(6).reshape(3, 2) arr = TensorArray(data) self.assertEqual(arr.numpy_ndim, data.ndim) self.assertEqual(arr.numpy_shape, data.shape) self.assertEqual(arr.numpy_dtype, data.dtype) def test_bool_tensor_selection(self): data = TensorArray([[1, 2], [3...
output = StockItem.objects.get(pk=output) context['output'] = output context['fully_allocated'] = build.isFullyAllocated(output) context['allocated_parts'] = build.allocatedParts(output) context['unallocated_parts'] = build.unallocatedParts(output) except (ValueError, StockItem.DoesNotExist): pass return contex...
indicatorOfParameter == 215: return '0to1' if table2Version == 203 and indicatorOfParameter == 214: return '0to1' if table2Version == 203 and indicatorOfParameter == 213: return 'kg m-2' if table2Version == 203 and indicatorOfParameter == 212: return 'kg/m2/h' if table2Version == 203 and indicatorOfParamete...
enormous_training assert training_size == (len(no_training) + len(tiny_training) + len(low_training) + len(medium_training) + len(high_training) + len(huge_training))# + #len(enormous_training)) no_testing = no_cer_set[no_training_size:] tiny_testing = tiny_cer_set[tiny_training_size:] low_testing = low_cer...
**kwargs): mypatch = [] for key, value in kwargs.items(): mypatch.append(dict(path='/' + key, value=value, op='replace')) return cgtsclient(request).icpu.update(cpu_id, mypatch) def host_memory_list(request, host_id): memorys = cgtsclient(request).imemory.list(host_id) return [Memory(n) for n in memorys] def ...
self.private_endpoint_status = None class OriginGroup(Resource): """Origin group comprising of origins is used for load balancing to origins when the content cannot be served from CDN. Variables are only populated by the server, and will be ignored when sending a request. :ivar id: Resource ID. :vartype id: str...
context.get_admin_context(), router1['id'], {'subnet_id': sub['subnet']['id']}) self.l3_plugin.add_router_interface( context.get_admin_context(), router['id'], {'subnet_id': sub3['subnet']['id']}) self.l3_plugin.add_router_interface( context.get_admin_context(), router1['id'], {'subnet_id': sub_route_leak['subne...
<reponame>basvandervlies/cfengine_beautifier<filename>cfbeautifier/parser.py from __future__ import absolute_import from __future__ import print_function from __future__ import unicode_literals from . import lexer from .util import ParserError from . import structure from . import util from .version_abstraction import ...
<filename>main_fr.py import imp import time #====================================================================== def board_print(board, move=[], num=0): print("====== The current board(", num, ") is (after move): ======") if move: # move not empty print("move = ", move) for i in [4, 3, 2, 1, 0]: ...
<filename>epic_stuff_and_things.py # -*- coding: utf-8 -*- """ Spyder Editor This is a temporary script file. """ import sys print("") print("") print("") print( "Epic Stuff and Things" ) print( "By: <NAME>") name = input("Enter your name: ") color = input("Enter a color: ") print("") print("Welcome to epic stuff an...
<gh_stars>0 #!/usr/bin/env python # Copyright (C) 2015 OpenStack, LLC. # # 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 ap...
<gh_stars>10-100 #!/usr/bin/python import numpy as np import scipy.special as spc ''' We have oribtals Phi_1 = c_a * chi_a + c_b * chi_b Phi_2 = c_c * chi_c + c_d * chi_d where chi_i are gaussian type basis functions and c_i are expansion coefficients electron density of molecular orbitals Rho_1 = <phi_1|phi_1>...
<gh_stars>10-100 # -*- coding: utf-8 -*- ''' stacking.py raet protocol stacking classes ''' # pylint: skip-file # pylint: disable=W0611 # Import python libs import socket import binascii import struct try: import simplejson as json except ImportError: import json # Import ioflo libs from ioflo.aid.odicting import ...
to compute the output shape. Input shape: This depends on the `layout` parameter. Input is 4D array of shape (batch_size, channels, height, width) if `layout` is `NCHW`. Output shape: This depends on the `layout` parameter. Output is 4D array of shape (batch_size, channels, out_height, out_width) if `layout` i...
def table_slice_2_cc1(table, r2, r_max, c1, c2): """ Function to cut a correct slice out of array for CC1 in _find_cc1_cc2(). Cuts out the row header. """ # one more row and column index than in the published pseudocode is needed, # since the a:b notation in python doesn't include b # contrary to the published p...
from datetime import timedelta from astropy import units as u import numpy as np from sunpy.time import parse_time def get_sky_position(time, offset): """Code for converting solar offsets to pointing position. Parameters ---------- time: Date that is parsable by sunpy.time.parse_time() i.e., time='2016-07-2...
<reponame>ActionAnalytics/tfrs """ REST API Documentation for the NRS TFRS Credit Trading Application The Transportation Fuels Reporting System is being designed to streamline compliance reporting for transportation fuel suppliers in accordance with the Renewable & Low Carbon Fuel Requirements Regulation. OpenAP...
# -*- coding: utf-8 -*- {{{ # vim: set fenc=utf-8 ft=python sw=4 ts=4 sts=4 et: # # Copyright 2019, Battelle Memorial Institute. # # 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...
'C', 10,'AN'], ['SRT07', 'C', 10,'AN'], ['SRT08', 'C', 2,'AN'], ['SRT09', 'C', 7,'N1'], ['SRT10', 'C', 7,'N1'], ['SRT11', 'C', 3,'R'], ['SRT12', 'C', (3,3),'AN'], ['SRT13', 'C', (2,25),'AN'], ], 'SS': [ ['BOTSID', 'M', 3,'AN'], ['SS01', 'M', (6,6),'DT'], ['SS02', 'M', 5,'AN'], ['SS03', 'M', 1,'AN'], ['SS04'...
code-block:: python ''' with fluid.layers.Switch() as switch: with switch.case(cond1): i = fluid.layers.fill_constant(shape=[1], dtype='int64', value=1) with switch.case(cond2): i = fluid.layers.fill_constant(shape=[1], dtype='int64', value=2) with switch.default(): i = fluid.layers.fill_constant(shape=[1], dt...
<filename>src/classify.py import csv, os, json, argparse, sys, random from rdkit import Chem """ Load data from directory, classify given molecule or test file """ # Walk reverse ontology subgraph (root = hitem) upwards, depth first. If any member of hitemset # is encountered, add it to minor set. These are later di...
""" Решения задач пробного раунда онлайн-чемпионата по программированию Yandex Сup в категории Алгоритм. https://contest.yandex.ru/yacup/ """ from time import time def A(): """ На различных мероприятиях команда стажировок регулярно разыгрывает призы в лотерею. Организаторы выбирают 10 случайных различных чисел от...
<reponame>alecomunian/geone<filename>geone/customcolors.py<gh_stars>1-10 #!/usr/bin/env python # -*- coding: utf-8 -*- """ Python module: 'customcolors.py' author: <NAME> date: jan-2018 Definition of custom colors and colormap. """ import numpy as np import matplotlib.colors as mcolors import matplotlib.pyplot as pl...
<reponame>Mikehem/tfx<filename>tensorflow_transform/tf_utils.py # Copyright 2017 Google Inc. 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/lic...
import random import pytest from faker import Faker from flask import url_for from .models import Location, Address, Area, Country, AreaSchema, LocationSchema, AddressSchema from .. import db from ..images.create_image_data import create_images_locations, create_test_images from ..images.models import Image, ImageLoc...
import * # NOQA >>> scores, labels = testdata_scores_labels() >>> self = ConfusionMetrics().fit(scores, labels) >>> xdata = self.tpr >>> ydata = self.thresholds >>> pt = 1.0 >>> #xdata = self.fpr >>> #ydata = self.thresholds >>> #pt = 0.0 >>> thresh = interpolate_replbounds(xdata, ydata, pt, maximize=True) >>...
source, destination, extraHopLimit = 0 ): """Same as findShortestPaths, but it uses the heuristic path so it runs much faster. I believe the results should be the same, but I have not thought about it enough to be able to be certain about it.""" if not self.neighboursFound: self.findNeighbours() if so...
/ 2) + 30) y = 0 while left > 0 : if getTile(x + dX, y) != Tiles.NOTHING: setTile(x + dX, y, Tiles.SAND) left -= 1 y += 1 print("Rocks in dirt") for i in range(1000): x = random.randrange(0, WORLD_WIDTH) y = random.randrange(0, WORLD_HEIGHT // 2.8) if getTile(x, y) == Tiles.DIRT: clump(x, y, poisson(10), ...
<filename>jiant/tasks/lib/templates/shared.py import numpy as np from dataclasses import dataclass from typing import List, NamedTuple, Tuple from jiant.tasks.core import FeaturizationSpec from jiant.tasks.utils import truncate_sequences, pad_to_max_seq_length from jiant.utils.python.datastructures import BiMap MAX_...