input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
<reponame>atn34/foundationdb
#
# vector.py
#
# This source file is part of the FoundationDB open source project
#
# Copyright 2013-2018 Apple Inc. and the FoundationDB project authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
#... | |
"https://api.github.com/users/jwodder/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jwodder",
"id": 98207,
"login": "jwodder",
"organizations_url": "https://api.github.com/users/jwodder/orgs",
"received_events_url": "https://api.github.com/users/jwodder/received_events",
"repos_url": "http... | |
: self.current_source_dir_method,
'current_build_dir' : self.current_build_dir_method,
'source_root' : self.source_root_method,
'build_root' : self.build_root_method,
'add_install_script' : self.add_install_script_method,
'add_postconf_script' : self.add_postconf_script_method,
'install_dependency_manifest': self... | |
import os
import matplotlib.pyplot as plt
from matplotlib.ticker import StrMethodFormatter
import pandas as pd
import numpy as np
from sklearn.metrics import confusion_matrix
from helpers import filter_models_info, get_log_metric, get_test_metric
from sklearn.metrics import accuracy_score, balanced_accuracy_score, reca... | |
+(?P<last_notif_sent>[\w\-]+)$')
p20 = re.compile(r'^\s*Nve +Mcast +Src +node +last +notif +sent: +(?P<last_notif_sent>[\w\-]+)$')
p20_1 = re.compile(r'^\s*Nve +MultiSite +Src +node +last +notif +sent: +(?P<notif_sent>[\w\-]+)$')
p21 = re.compile(
r'^\s*Multisite +bgw\-if: +(?P<multisite_bgw_if>[\w\/\-]+) +\(ip: +(... | |
"""
There are a few important sets of datastructures:
dimensions
* N - Size of the dstore.
* K - Number of retrieved neighbors.
* D - Size of the key vectors.
dstore - This is the "ground truth" source of keys, values, and other important
items created by the KNN-LM.
* dstore_keys.npy - The vectors. NxD
* d... | |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# (c) 2012 <NAME> <mkalewski at cs.put.poznan.pl>
#
# This file is a part of the Simple Network Simulator (sim2net) project.
# USE, MODIFICATION, COPYING AND DISTRIBUTION OF THIS SOFTWARE IS SUBJECT TO
# THE TERMS AND CONDITIONS OF THE MIT LICENSE. YOU SHOULD HAVE RECEIVE... | |
<filename>pypet2bids/pypet2bids/dcm2niix4pet.py
import os
import sys
import warnings
from json_maj.main import JsonMAJ, load_json_or_dict
from pypet2bids.helper_functions import ParseKwargs, get_version, translate_metadata, expand_path
import subprocess
import pandas as pd
from os.path import join
from os import listd... | |
os.path.join(outFolderraven, Model_Name + ".rvt")
obsflodername = "./" + os.path.split(outObsfileFolder)[1] + "/"
output_string = (
" \n"
+ ":RedirectToFile "
+ obsflodername
+ obsnm["Obs_NM"]
+ "_"
+ str(obsnm["SubId"])
+ ".rvt"
+ " \n"
)
return output_string
def Generate_Raven_Obs_rvt_String(
catinfo,
... | |
41.6666666666667*m.b11 + m.x1993 <= 0)
m.c3678 = Constraint(expr= - 41.6666666666667*m.b12 + m.x1994 <= 0)
m.c3679 = Constraint(expr= - 41.6666666666667*m.b13 + m.x1995 <= 0)
m.c3680 = Constraint(expr= - 41.6666666666667*m.b14 + m.x1996 <= 0)
m.c3681 = Constraint(expr= - 41.6666666666667*m.b15 + m.x1997 <= 0)
m.c3... | |
1.15, 1.10])
a_sig = np.array([250, 300, 210, 430, 470, 495])
a_ref = np.array([450, 460, 470, 480, 490, 500])
a_off = np.array([0.35, 0.30, 0.25, 0.20, 0.15, 0.10])
# traw, T, and PS must be scalar (before vectorization).
traw = 48355
Tcal = 20.0
T = 12.0
PS = 35.0
# also test case of user selected referenc... | |
<gh_stars>1-10
# coding=utf-8
# Copyright 2020 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required ... | |
to build the final bilayer, will be saved in that directory. Example: --output_directory ./my_output/", 70, subsequent_indent = " ")
print textwrap.fill("--use_disk_instead_of_memory: For very large systems, storing the growing model in memory can be problematic. If this parameter is set to TRUE, the growing model wil... | |
<reponame>rwl/godot<filename>godot/node.py
#------------------------------------------------------------------------------
# Copyright (c) 2009 <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... | |
# coding: utf-8
"""
OpenSilex API
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: INSTANCE-SNAPSHOT
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re #... | |
) -> List[Gallery]:
"""
Executes the search given by the `q` query parameter, and returns **gallery responses** sorted by descending creation time.
A request will be sent to the following endpoint: `/api/v1/json/search/galleries`
It will take in account `self._base_url` and fill in all url variables and append the... | |
# -*- coding: utf-8 -*-
import os
from hashlib import sha512
from datetime import datetime, timedelta
from uuid import uuid4
from copy import deepcopy
from openprocurement.api.constants import SANDBOX_MODE
from openprocurement.api.tests.base import BaseWebTest
from openprocurement.api.utils import get_now
from openproc... | |
feature = cols[2]
feat_s = int(cols[3])
feat_e = int(cols[4])
feat_pol = cols[6]
infos = cols[8]
if not feature == "gene":
continue
# Restrict to standard chromosomes.
new_chr_id = check_convert_chr_id(chr_id)
if not new_chr_id:
continue
else:
chr_id = new_chr_id
# Make start coordinate 0-base (BED stand... | |
ctxcls
def formatfields(
self,
formatter: str = 'str',
) -> Iterator[Tuple[str, str]]:
"""Return an iterator over fields formatted using `formatter`."""
for name, field in self.__class__._fields.items():
value = getattr(self, name)
default = field.default
formatter_obj = field.formatters.get(formatter)
if fo... | |
<reponame>MattiasBeming/LiU-AI-Project-Active-Learning-for-Music
# FMA: A Dataset For Music Analysis
# <NAME>, <NAME>, <NAME>,
# <NAME>, EPFL LTS2.
# All features are extracted
# using [librosa](https://github.com/librosa/librosa).
# Note:
# This file was edited to work for emo-music in our project.
# All credit for ... | |
"""
Type inference for user-defined classes.
"""
from __future__ import absolute_import
import types
from rpython.flowspace.model import Constant
from rpython.tool.flattenrec import FlattenRecursion
from rpython.tool.sourcetools import func_with_new_name
from rpython.tool.uid import Hashable
from rpython.annotator.mod... | |
default to all "
"accounts, you may pass the optional argument --force. When "
"the argument messages was omitted the default number of "
"messages 0 (zero) will be applied."
)
),
formatter_class=RawDescriptionHelpFormatter,
)
dq.add_argument("fqdn", help=_("a fully qualified domain name"))
dq.add_argument(
"... | |
<filename>lib/stsci/tools/convertwaiveredfits.py
#!/usr/bin/env python
# $Id$
"""
Convert a waivered FITS file to various other formats.
Syntax for the command line::
convertwaiveredfits.py [-hm] [-o <outputFileName>,...] FILE ...
Convert the waivered FITS files (wFITS) to various formats.
The default conversion ... | |
unique_queries:
if self.count(query, distinct=False) != 0:
# one of the 'OR' queries failed, see which one
raise Exception(
"NOT UNIQUE constraint failed: %s" % query.first.name
)
def insert(self, table, fields, safe=None):
"""Safe determines whether a asynchronous request is done or a
synchronous action is do... | |
<reponame>cdown/statsmodels<filename>statsmodels/stats/sandwich_covariance.py
# -*- coding: utf-8 -*-
"""Sandwich covariance estimators
Created on Sun Nov 27 14:10:57 2011
Author: <NAME>
Author: <NAME> for HCxxx in linear_model.RegressionResults
License: BSD-3
Notes
-----
for calculating it, we have two versions
... | |
that
is associated with this System.Windows.Automation.Peers.UIElementAutomationPeer
is understood by the end user as interactive. Optionally, the user might
understand the System.Windows.UIElement as contributing to the logical
structure of the control in the GUI. This method is called by
System.Wi... | |
pulumi.get(self, "enabled")
@enabled.setter
def enabled(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "enabled", value)
@property
@pulumi.getter
def extra(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
Free-form key/value pairs of extra information.
"""
return pulumi.get(self, "extra... | |
# Copyright 2021, 2022 Cambridge Quantum Computing Ltd.
#
# 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... | |
esse consequat eiusmod duis eiusmod id elit laboris laborum."
}
],
"paraphraseQuestions": [
{
"id": "d27bb0a6-c3c3-11e7-8d29-d15d28ee5381",
"question": "Quis nulla excepteur magna id elit ullamco occaecat aliqua officia ipsum sint veniam occaecat reprehenderit."
}
],
"created": 1500641947,
"modified": 1505739... | |
req.body_file.read(MAX_RPC_BODY_SIZE).split(b'\n')
if req.body_file.read(1):
return swob.HTTPRequestEntityTooLarge(request=req)
else:
if cl > MAX_RPC_BODY_SIZE:
return swob.HTTPRequestEntityTooLarge(request=req)
json_payloads = req.body.split(b'\n')
if self.bypass_mode == 'read-write':
allowed_methods = rpc.al... | |
<gh_stars>0
#
# Copyright (C) 2001-2004 <NAME> and Rational Discovery LLC
# All Rights Reserved
#
""" The "parser" for compound descriptors.
I almost hesitate to document this, because it's not the prettiest
thing the world has ever seen... but it does work (for at least some
definitions of the word).
Rather than get... | |
< len(name):
index_letter = name[index].upper()
else:
index_letter = '->'
if index_letter not in index_letters:
index_letters.append(index_letter)
letter_name_info[index_letter] = []
letter_name_info[index_letter].append(name)
index += 1
for index_letter in index_letters:
text += ',\n'
text += '\t' * 7 + '{... | |
by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_customer_sessions_multiple_with_http_info(customer_id, body, callback=callback_function)
:param call... | |
& 0x0F))
if lightModeHigh != LightModeDrone.None_ and lightModeLow != LightModeDrone.None_:
drone.sendLightModeColor(lightMode, interval, r, g, b)
def lightModeSingle(self, strLightPart, strLightMode, interval):
#drone = Drone(True, True, True, True, True)
drone = Drone()
if drone.open() == False:
print(Fore... | |
Quobyte represents a Quobyte mount on the host that shares a pod's lifetime
"""
return pulumi.get(self, "quobyte")
@property
@pulumi.getter
def rbd(self) -> Optional['outputs.DatadogAgentSpecClusterChecksRunnerConfigVolumesRbd']:
"""
RBD represents a Rados Block Device mount on the host that shares a pod's life... | |
# @date 2018-08-25
# @author <NAME>, All rights reserved without prejudices.
# @license Copyright (c) 2018 Dream Overflow
# Trader connector for ig.com
from __future__ import annotations
from typing import TYPE_CHECKING, List, Union, Optional
if TYPE_CHECKING:
from trader.service import TraderService
from trader.m... | |
import tensorflow as tf
from tensorflow.python.layers.core import Dense
import numpy as np
import time
import matplotlib as mpl
import copy
import os
from tensorflow.python.ops import rnn_cell_impl
# mpl.use('Agg')
# import matplotlib.pyplot as plt
import os
# Number of Epochs
epochs = 100
# Batch Size
... | |
Optional[pulumi.Input[str]]:
"""
A string indicating the Operating System type for this function app.
"""
return pulumi.get(self, "os_type")
@os_type.setter
def os_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "os_type", value)
@property
@pulumi.getter(name="siteConfig")
def site_config(s... | |
"""Private module for the DataIO class."""
import json
import logging
import warnings
from collections import OrderedDict
from copy import deepcopy
from datetime import datetime
from pathlib import Path
from typing import Tuple
import numpy as np
import pandas as pd
try:
import pyarrow as pa
except ImportError:
HAS... | |
are stored
# percent is a value between 0 and 1
# The lowest value is taken
valueArray = numpy.sort(valueArray)
index = (valueArray.size * percent) - 1
ceilIndex = int(math.ceil(index))
return round(valueArray[ceilIndex], self.numberOfDecimals)
def computeAll(self, fieldArray, fieldState, ROIArray):
bool, arra... | |
<reponame>Rakaneth/python-tcod
"""This module handles backward compatibility with the ctypes libtcodpy module.
"""
from __future__ import absolute_import as _
import os
import sys
import threading as _threading
from typing import Any, AnyStr, Optional, Sequence, Tuple
import warnings
import numpy as _np
import nump... | |
***********
path : string, path to file
Returns:
********
prod_array : array-like, the visibility products.
"""
# If given list of files, use first one:
if isinstance(path, list):
path = path[0]
# Get file with single time, single frequency:
data_aux = andata.AnData.from_acq_h5(path, start=0, stop=1, freq_... | |
and if there is one,
# have it return to 00 instead of unspecified
self.arp_mod = arp
if arp:
self.last_arp = self.last_arp or '00'
arp = arp or self.arp_mod or self.last_arp
return self.fixup_downward_arp(notenum, arp)
pitchRE = re.compile(r"""
(>*|<*) # MML style octave
([a-hrwlq]) # note name
(b|bb|-|--|es|e... | |
import os.path
import sys
import numpy as np
import copy
import shutil
import astropy.units as u
import pandas as pd
import pickle
from sklearn.neighbors import BallTree
import time
from nexoclom import math as mathMB
from nexoclom.atomicdata import gValue
from nexoclom.modelcode.input_classes import InputError
from ne... | |
<reponame>FeralFlows/pysedsim
# -*- coding: utf-8 -*-
'''
Module imports and exports data inputs and outputs to and from PySedSim.
Contains numerous functions to do this.
'''
# Import relevant libraries
from __future__ import division
from openpyxl import load_workbook # Purpose: load excel workbooks
from datetime... | |
passed as None. If None then use the engine's
default config script name.
@type configScriptName: string or None
@param keywords: Keywords used to filter the set of variants the
script will be executed with.
@type keywords: dictionary of string -> string or list of string
@return: A task that will complete whe... | |
<gh_stars>1-10
import re
def br(**kwargs):
args = ' '+' '.join([re.sub('_','','{}="{}"'.format(s,kwargs[s])) for s in [ ss for ss in kwargs.keys()]])
args = args[:-1] if args[-1:]==' ' else args
return '<br{}>\n'.format(args)
def img(**kwargs):
args = ' '+' '.join([re.sub('_','','{}="{}"'.format(s,kwargs[s])) for s... | |
import os,sys,math
import numpy
import random
import time
import pglobals
import pio
import copy
import inspect
import timeit
try: from collections import defaultdict
except: pass
from scipy.optimize import *
from scipy.linalg import *
import pminimise
def printl(*args):
if(pio.verbose):
frm = inspect.stack()[1]
... | |
properties
# The task type string.
self.task_type = task_type
# Member ID of the discord user that owns this schedule.
self.owner_id = owner_id
# Guild ID of the guild this schedule was created in.
self.guild_id = guild_id
# Schedule string for this schedule. Determines the time that this
# job ... | |
if executor:
target = executor.get_all_targets()
source = executor.get_all_sources()
cmd_list, ignore, silent = self.process(target, list(map(rfile, source)), env, executor)
# Use len() to filter out any "command" that's zero-length.
for cmd_line in filter(len, cmd_list):
# Escape the command line for the interp... | |
<gh_stars>0
import pandas as pd
import numpy as np
from warnings import warn
from pandas.core.internals import SingleBlockManager, BlockManager
use_pandas_metadata = True
class Range:
"""
A class defining a range to restrict analyses.
This is used as a context manager, taking a :func:`~neuroseries.interval_set.I... | |
<gh_stars>0
# 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, Union, overload
fr... | |
import opentracing
from opentracing import (
child_of,
Format,
InvalidCarrierException,
UnsupportedFormatException,
SpanContextCorruptedException,
)
import ddtrace
from ddtrace.ext.priority import AUTO_KEEP
from ddtrace.opentracer import Tracer, set_global_tracer
from ddtrace.opentracer.span_context import SpanCo... | |
r"[boxy] -- B4 -- [disky]"
else:
cosHarmonicLabel = "B%1d" % m
if xtitle is None:
if plotList:
unitName = efit[0].sma_units
else:
unitName = efit.sma_units
xLabelString = "Semi-major axis [" + unitName + "]"
else:
xLabelString = xtitle
if noErase is False:
plt.clf()
if merge is True:
ax1 = pl... | |
# Built-in
import copy
import logging
import time
# External
from Qt.QtWidgets import QUndoCommand
# Internal
from nxt_editor import colors
from nxt_editor import user_dir
from nxt import nxt_path
from nxt.nxt_layer import LAYERS, SAVE_KEY
from nxt.nxt_node import (INTERNAL_ATTRS, META_ATTRS, get_node_as_dict,
list_... | |
Y.values, feature_names=X.columns)
del X
del Y
gc.collect()
t1 = time()
print("=> xgboost: Performing cross validation")
# def decay_eta(boosting_round, num_boost_round):
# @todo
cv_xgb = xgb.cv(params, train_data, num_boost_round=max_rounds, nfold=3,
metrics=('logloss'), stratified=True,
seed=0, fpreproc... | |
"""TestAuthZ implementations of grading.GradeSystem"""
import datetime
import pytest
from tests.utilities.general import is_never_authz, is_no_authz, uses_cataloging
from dlkit.abstract_osid.authorization import objects as ABCObjects
from dlkit.abstract_osid.authorization import queries as ABCQueries
from dlkit.abstra... | |
#! /usr/bin/env python
"""
WFIRST Infrared Nearby Galaxies Test Image Product Simulator
Produces input files for the WFIRST STIPS simulator
"""
import time
import subprocess
import resource
import gc
import numpy as np
from astropy import wcs
from astropy.io import fits, ascii
from astropy.table import Table
import das... | |
"""new experimental paragraph implementation
Intended to allow support for paragraphs in paragraphs, hotlinks,
embedded flowables, and underlining. The main entry point is the
function
def Paragraph(text, style, bulletText=None, frags=None)
Which is intended to be plug compatible with the "usual" platypus
paragraph ... | |
save_output=save_output,
output_format=output_format,
structure_style="filenames",
)
def test_list_token_pattern_2_nistxml_sv_iv_list_token_pattern_3_1(mode, save_output, output_format):
r"""
Type list/token is restricted by facet pattern with value \d{1,5}_([A-
Z][a-z]{1,20}_){2}Street_([A-Z][a-z]{1,20}_){3},_... | |
#https://nbviewer.org/github/amanchadha/coursera-deep-learning-specialization/blob/master/C5%20-%20Sequence%20Models/Week%201/Building%20a%20Recurrent%20Neural%20Network%20-%20Step%20by%20Step/Building_a_Recurrent_Neural_Network_Step_by_Step.ipynb
###########################################
# exercise 3 - lstm_cell_fo... | |
for x in X):
if self.params["compTabFormat"]:
raise TypeError("If 'compTabFormat' is True. X must be a path to a folder. Either set compTabFormat to False or provide a path.")
print("Multiple dataset detected - each one will be analysed separetely")
if self.params["analysisName"] is None or not isinstance(self.para... | |
<reponame>uk-gov-mirror/dwp.dataworks-snapshot-sender-status-checker<gh_stars>0
#!/usr/bin/env python3
import unittest
import pytest
import argparse
import json
import prometheus_client
from copy import deepcopy
from unittest import mock
from status_checker_lambda import status_checker
EXPORTING_STATUS = "Exporting"... | |
from guppy.heapy.test import support
PORTABLE_TEST = 1 # Relax tests to be more portable
class TestCase(support.TestCase):
def setUp(self):
support.TestCase.setUp(self)
self.View.is_rg_update_all = False
self.US = US = self.heapy.UniSet
self.Use = Use = self.heapy.Use
Use.reprefix = 'hp.'
self.do = lambda x... | |
New Logic:
Attachments must all have counters so know if txt or bny format for
attachments. So even when framed==True must still have counters.
"""
parsator = self.allParsator(ims=ims,
framed=framed,
pipeline=pipeline,
kvy=kvy,
tvy=tvy,
exc=exc,
rvy=rvy,
vry=vry)
while True:
try:
next(parsator)
except S... | |
0.00000, 0.80392),
(0.23137, 0.00000, 0.80392),
(0.23137, 0.00000, 0.80392),
(0.00000, 0.00000, 0.97647),
(0.00000, 0.00000, 0.97647),
(0.00000, 0.00000, 0.97647),
(0.00000, 0.00000, 0.97647),
(0.00000, 0.00000, 0.97647),
(0.00000, 0.00000, 0.97647),
(0.00000, 0.00000, 0.97647),
(0.00000, 0.00000, 0.97647),
... | |
<reponame>gautelinga/-BERNAISE<filename>solvers/basic.py
"""This module defines the basic solver.
Binary electrohydrodynamics solved using a partial splitting approach and
linearisation. The problem is split between the following subproblems.
* PF: The phase-field equation is solved simultaneously with the phase-fiel... | |
is not run through
library's validation logic.
Args:
soap_message: str SOAP XML message.
url: str URL of the API service for the method to call.
server: str API server to access for this API call.
http_proxy: str HTTP proxy to use for this API call.
Returns:
tuple Response from the API method (SOAP XML respon... | |
import os
import gzip
from xml.etree import cElementTree as ElementTree
import pandas as pd
from docx import Document # from python-docx package
class XmlDictConfig(dict):
"""
Note: need to add a root into if no exising
Example usage:
>>> tree = ElementTree.parse('your_file.xml')
>>> root = tree.getroot()
>>> x... | |
IOD': ['Image'],
None: ['Image', 'Raw Data', 'Waveform', 'Document', 'Dose', 'Segmentation'],
'SEGMENTATION IOD': ['Segmentation'],
'BASIC VOICE AUDIO IOD': ['Waveform'],
'OPHTHALMIC PHOTOGRAPHY 16 BIT IMAGE IOD': ['Image'],
'MULTI-FRAME GRAYSCALE BYTE SC IMAGE IOD': ['Image'],
'GENERAL ECG IOD': ['Waveform'],
'... | |
<gh_stars>1-10
"""
Siamese neural networks for GAN evaluation,
this code defines the following classes:
- `SiameseDataset`, a class to prepair the dataset for training
- `Model`, The neural network model used in Siamese architecture
- `ContrastiveLoss`, The specific loss function object used to train the Siamese ar... | |
None:
for wrapper in wrappers:
wrapper.apply(self)
router.append(self)
return Router(router)
else:
if is_global and (guild_ids is not None):
raise TypeError(
f'`is_guild` and `guild` contradict each other, got is_global={is_global!r}, '
f'guild={guild!r}'
)
if command is None:
sub_commands = {}
command_... | |
import math
import cmath
import numpy as np
import sys
import os
import json
import collections
sys.path.append('/usr/src/gridappsd-python')
from gridappsd import GridAPPSD
prefix17 = '''
PREFIX r: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX c: <http://iec.ch/TC57/2012/CIM-schema-cim17#>
'''
prefix_cim100... | |
depth1.append(moves)
if re.match('\+B', Bboard.b6d)and b8b==''\
and board.s7c=='':
moves = '6d8b'
kaihimore(moves)
if oute.oute == 0:
depth1.append(moves)
if re.match(r'\+B|B', Bboard.b6d)and b4f==''\
and board.s5e=='':
moves = '6d4f'
kaihimore(moves)
if oute.oute == 0:
depth1.append(moves)
if re.match(r'\... | |
import pkg_resources
try:
pkg_resources.get_distribution('numpy')
except pkg_resources.DistributionNotFound:
numpyPresent = False
print("Error: Numpy package not available.")
else:
numpyPresent = True
import numpy as np
try:
pkg_resources.get_distribution('pandas')
except pkg_resources.DistributionNotFound:
p... | |
= URIRef(value)
return predicate
@staticmethod
def from_rdf(g: Graph, parent: Union[BNode, URIRef] = None) -> Set[TermMap]:
term_maps = set()
query = prepareQuery(
"""
SELECT DISTINCT ?tripleMap ?predicateMap ?reference ?template ?constant
WHERE {
?tripleMap rr:predicateMap ?predicateMap
OPTIONAL{?predica... | |
# -*- coding: future_fstrings -*-
from __future__ import print_function
import argparse
import struct
import sys
import logging
from libptmalloc.frontend import printutils as pu
from libptmalloc.ptmalloc import malloc_chunk as mc
from libptmalloc.ptmalloc import malloc_state as ms
from libptmalloc.ptmalloc import ptm... | |
#!/usr/bin/env python
# -*- encoding: utf-8 -*-
'''
@Title :图片处理工具类
@File : image_util.py
@Time : 2019/11/7 5:25 下午
@Version : 1.0
'''
import cv2
import os, math
import numpy as np
import random
from PIL import Image, ImageDraw, ImageFile
from app.main.app.utils import text_util
ImageFile.LOAD_TRUNCATED_IMAGES = True... | |
Als uw partner 1♣ opent betekent dat dat hij of een erg gebalanceerde kaart heeft, of klaveren.
Idealiter vertelt u eerst uw hoge kleuren maar soms is dat gewoon geen optie dus kunt u als u een vijfkaart heeft of een vierkaart met in de rest van de kleuren een driekaart uw partners klaveren steunen.
'''
if state =... | |
download if possible (remote has refs)
self.replace_mirrorrepo_from_remote_deposit_if_needed()
# reevaluate
existing_repo = GitRepo.is_valid(self._mirrorrepodir)
else:
# we have nothing local, pull from the remote, because it
# reports stuff to exist
self.replace_mirrorrepo_from_remote_deposit()
existing_repo =... | |
@", Path(self.fname).absolute().as_uri())
else:
print(f"Nothing to be saved by GIF writer.")
return self.fname
class GIFFileBased(GenericSave):
def __init__(self, fps=4, dpi=100, bitrate=1800, _type='GIFFileBased', **kwargs):
super().__init__(**kwargs)
from matplotlib.animation import ImageMagickWriter as Write... | |
'''
Other Functions
This is a collection of several other functions that did not otherwise fit within their own module.
Included functions are:
similar_distributions - finds the parameters of distributions that are similar to the input distribution and plots the results.
convert_dataframe_to_grouped_lists - groups val... | |
"""
Train a recurrent neural network using minibatch stochastic gradient descent
with the modifications described in
On the difficulty of training recurrent neural networks.
<NAME>, <NAME>, & <NAME>, ICML 2013.
https://github.com/pascanur/trainingRNNs
"""
from __future__ import absolute_import
from __future__ imp... | |
. I1IiiI * iIii1I11I1II1 / Ii1I . I1IiiI
if 63 - 63: ooOoO0o . Ii1I - I1Ii111 - oO0o * I1Ii111 + ooOoO0o
o00OoOO0O0 = "ip route | egrep 'default via'"
I1III = commands . getoutput ( o00OoOO0O0 ) . split ( "\n" )
if 85 - 85: II111iiii + I1ii11iIi11i
oOo0OO00oo0 = [ ]
for IIIiIi1iI1i1 in I1III :
if ( IIIiIi1iI1i1 ... | |
"""Test logic blocks."""
from mpf.tests.MpfFakeGameTestCase import MpfFakeGameTestCase
from mpf.tests.MpfTestCase import test_config_directory
class TestLogicBlocks(MpfFakeGameTestCase):
def get_config_file(self):
return 'config.yaml'
def get_machine_path(self):
return 'tests/machine_files/logic_blocks/'
def ... | |
<filename>deepcell_toolbox/metrics.py
# Copyright 2016-2021 The <NAME> at the California Institute of
# Technology (Caltech), with support from the Paul Allen Family Foundation,
# Google, & National Institutes of Health (NIH) under Grant U24CA224309-01.
# All rights reserved.
#
# Licensed under a modified Apache Licens... | |
if question_name_parsed == question["nameFull"]:
answer_free_text = answer_current
for attribute, value in question.items():
if attribute == 'answers':
values = []
labels = []
for index, answer in enumerate(value):
values.append(str(index))
labels.append(answer)
row['question_answers_values'] = ':::'.join(val... | |
#!/usr/bin/env python
#
# A library that provides a Python interface to the Telegram Bot API
# Copyright (C) 2015-2022
# <NAME> <<EMAIL>>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser Public License as published by
# the Free Software Foundation, either ... | |
<filename>tests/unit/test_client.py
# Copyright 2014 Google 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 applicabl... | |
[0.26, 0.27, 0.28, 0.28, 0.28, 0.28, 0.28, 0.29, 0.29, 0.29, 0.3 ,
0.3 , 0.31, 0.32, 0.33, 0.35, 0.36, 0.37, 0.39, 0.4 , 0.41, 0.42,
0.43, 0.44, 0.44, 0.45, 0.45, 0.45, 0.46, 0.46, 0.46, 0.46, 0.46,
0.47, 0.47, 0.47, 0.47, 0.48, 0.48, 0.49, 0.49, 0.5 , 0.51, 0.52,
0.53, 0.55, 0.55, 0.55, 0.55, 0.55, 0.55, 0.55,... | |
= 54
Const = 55
Continue = 56
Declare = 57
Default = 58
Do = 59
DoubleCast = 60
DoubleType = 61
Echo = 62
Else = 63
ElseIf = 64
Empty = 65
EndDeclare = 66
EndFor = 67
EndForeach = 68
EndIf = 69
EndSwitch = 70
EndWhile = 71
Eval = 72
Exit = 73
Extends = 74
Final = 75
Finally = 76
FloatCast = 77
F... | |
<filename>src/dominh/__init__.py
# Copyright (c) 2020-2021, <NAME>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | |
"""
Module to write setpoint commands to a GridLAB-D model (.glm)
NOTE: This module is in 'prototype' mode. As such, it certainly isn't
optimally efficient.
Created on Jul 27, 2017
@author: thay838
"""
import re
import os
import helper
import csv
import copy
# Time formatting:
TIME_FMT = "%Y-%m-%d %H:%M:%S"
# Def... | |
<reponame>aliyun/dingtalk-sdk<filename>dingtalk/python/alibabacloud_dingtalk/workflow_1_0/models.py
# -*- coding: utf-8 -*-
# This file is auto-generated, don't edit it. Thanks.
from Tea.model import TeaModel
from typing import List, Dict, Any
class SelectOption(TeaModel):
def __init__(
self,
key: str = None,
val... | |
+ m.b24 - m.b25 <= 0)
m.c377 = Constraint(expr= - m.b1 + m.b4 - m.b26 <= 0)
m.c378 = Constraint(expr= - m.b1 + m.b6 - m.b27 <= 0)
m.c379 = Constraint(expr= - m.b1 + m.b8 - m.b28 <= 0)
m.c380 = Constraint(expr= - m.b1 + m.b10 - m.b29 <= 0)
m.c381 = Constraint(expr= - m.b1 + m.b12 - m.b30 <= 0)
m.c382 = Constraint(... | |
else [0, 0, 0]
# Process and output
def _ShowAverageFrame(n, f):
text = ""
if sNumPlanes == 1:
average = f.props.PlaneAverage * valueRange + offset[0]
text += "PlaneAverage[{plane}]={average}".format(plane=0, average=average)
else:
for p in range(sNumPlanes):
average = f[p].props.PlaneAverage * valueRange + ... | |
if self.preprocessed:
tokens[pos] = self.indexer(tokens[pos])
masked_weights = [1]*len(masked_tokens)
# Token Indexing #to-check
if not self.preprocessed:
input_ids = self.indexer(tokens)
masked_ids = self.indexer(masked_tokens)
else:
input_ids = tokens[:]
masked_ids = masked_tokens[:]
# Zero Padding
n_p... | |
collector ndarray
if nodata:
window=np.full((bbands,crop_win[2],crop_win[3]), nodata, dtype)
else:
window=np.empty((bbands,crop_win[2],crop_win[3]), dtype)
wxind=np.arange(crop_win[0],crop_win[0]+crop_win[2])
wyind=np.arange(crop_win[1],crop_win[1]+crop_win[3])
# override classic bottom-left corner coord system... | |
""" Script to store all functions"""
import numpy as np
#from osgeo.gdalconst import *
#from osgeo import ogr, gdal
import subprocess
import simplekml
import sys
import scipy
import multiprocessing as mp
from scipy import ndimage
import os
#import cv2
#import multiprocessing as mp
import matplotlib.pyplot as plt
from ... | |
<filename>synapse/groups/groups_server.py
# -*- coding: utf-8 -*-
# Copyright 2017 Vector Creations Ltd
# Copyright 2018 New Vector Ltd
# Copyright 2019 <NAME> <<EMAIL>>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtai... |
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