input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
dy = self.map_canvas.yview()[0] * len(self.tilemap)
x = max(int(dx + event.x / 64), 0)
y = max(int(dy + event.y / 64), 0)
# Regular base-layer tile mode
if view_mode.get() == 0:
map_of_tiles = list(self.tilemap)
self.map_canvas.create_image((32 + 64 * x, 32 + 64 * y), image=App.tiles[selected_image.get()])
row =... | |
<filename>models/tripletext2seq.py
from __future__ import print_function
import time
import math
import pickle
import tensorflow as tf
from tensorflow.python.layers.core import Dense
import numpy as np
class TripleText2SeqModel():
"""
This Model is called triples sequences to sequence model
model takes a single tr... | |
not include PyPI.
argv.extend(
[
"--no-pypi",
*(f"--index={index}" for index in python_repos.indexes),
*(f"--repo={repo}" for repo in python_repos.repos),
"--resolver-version",
"pip-2020-resolver",
]
)
python: PythonExecutable | None = None
# NB: If `--platform` is specified, this signals that the PEX shou... | |
custom radius",
default = False)
fit = bpy.props.EnumProperty(name = "Method",
items = (("best", "Best fit", "Non-linear least squares"),
("inside", "Fit inside","Only move vertices towards the center")),
description = "Method used for fitting a circle to the vertices",
default = 'best')
flatten = bpy.props.Bool... | |
Creator)
sendMention(msg.to, msg._from, "","Success Invite AllGroup")
else:
sendMention(msg.to, msg._from, "","Limit boss")
elif text.lower() == 'kiinviteme':
if msg._from in admin:
gid = ki.getGroupIdsJoined()
for i in gid:
ki.inviteIntoGroup(i, Creator)
sendMention(msg.to, msg._from, "","Success Invite AllGr... | |
box. """
@staticmethod
def box_type_default():
box_type = BoxType.objects \
.filter(box_type_code__istartswith='ev') \
.first()
if box_type:
return box_type
box_type = BoxType.objects.first()
if box_type:
return box_type
return None
box_type_help_text = 'Type of box with this number.'
box_type = models.F... | |
'C6H14O8P',
'g3pi': 'C9H18O11P',
'g3pi_e': 'C9H18O11P',
'g3pi_p': 'C9H18O11P',
'g3ps': 'C6H13NO8P',
'g3ps_e': 'C6H13NO8P',
'g3ps_p': 'C6H13NO8P',
'g6p': 'C6H11O9P',
'g6p_e': 'C6H11O9P',
'g6p_p': 'C6H11O9P',
'gagicolipa': 'C157H271N2O84P4',
'gal': 'C6H12O6',
'gal1p': 'C6H11O9P',
'gal1p_e': 'C6H11O9P',
'gal... | |
from torch.cuda.amp import GradScaler
from utils.loss_accumulator import LossAccumulator
from torch.nn import Module
import logging
from trainer.losses import create_loss
import torch
from collections import OrderedDict
from trainer.inject import create_injector
from utils.util import recursively_detach, opt_get
logg... | |
<reponame>SobolGaming/Trivianator
import json
import re
from django.db import models
from django.core.exceptions import ValidationError, ImproperlyConfigured
from django.core.validators import MaxValueValidator, validate_comma_separated_integer_list
from django.utils.timezone import now
from django.conf import settings... | |
[종목명, 단축코드, 확장코드, ETF구분, 상한가, 하한가, 전일가, 주문수량단위, 기준가, 구분, 증권그룹, 기업인수목적회사여부]
result.append(lst)
columns = ['종목명', '단축코드', '확장코드', 'ETF구분', '상한가', '하한가', '전일가', '주문수량단위', '기준가', '구분', '증권그룹', '기업인수목적회사여부']
df = DataFrame(data=result, columns=columns)
if self.parent != None:
self.parent.OnReceiveData(szTrCode, [df])... | |
# a_i^{(1)} = x_i
# Compute z values at second layer
# zSup2 (i.e., z^{(2)}) is the matrix of z values at layer 2
# zSup2 = W^{(1)} x + b^{(1)}
zSup2 = W1.dot(data) + numpy.tile(b1, (m, 1)).transpose()
# Compute activations at second layer by mapping z^{(2)} to sigmoid(z^{(2)})
aSup2 = sigmoid(zSup2)
#Comput... | |
0:
self.ListSize = 0
return self.ListSize
if self.ItemSize == 0:
self.ListSize = self.GetInterOffset(len(self.RawDataList) - 1) + len(self.RawDataList[len(self.RawDataList)-1])
else:
for Datas in self.RawDataList:
if type(Datas) in (list, tuple):
self.ListSize += len(Datas) * self.ItemSize
else:
self.ListSize... | |
PlotSnapList, simulation_norm,
mean_galaxy_sfr, std_galaxy_sfr,
mean_galaxy_ssfr, std_galaxy_ssfr,
N_galaxy, model_tags, output_tag):
"""
Plots the specific star formation rate (sSFR) as a function of stellar mass.
Parallel compatible.
Accepts 3D arrays of the sSFR binned into Stellar Mass bins.
Mass units ... | |
from __future__ import division
from itertools import chain
from numpy import inf
from span.chunking.utils.fixed_step import fixed_step_chunker
import random
def fragment_list(tot_len, n_frags):
"""
A little function to help trouble shoot list_chunker. Creates a list of lists
by randomly fragmenting range(tot_len)... | |
= True
break
if not found:
res.append({
# 轮次
'round_financing_id': round_financing_and_foundation_entity.round_financing_id.id,
'round_financing_name': round_financing_and_foundation_entity.round_financing_id.name,
'foundation_names': [{
'foundation_id': round_financing_and_foundation_entity.found... | |
<reponame>PeterJackNaylor/segmentation_net
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""segnet package file tf_record
Segmentation_base_class -> SegmentationInput -> SegmentationCompile ->
SegmentationSummaries -> Segmentation_model_utils -> Segmentation_train
"""
from datetime import datetime
from tqdm import... | |
is sex-stratified).
"""
file_base = 'pananc_31063_pcgc_covariates'
file_base = file_base + ('_nosexcovar' if sex_specific else '')
suffix = '.tsv'
if dictout:
out = {anc: anc + '_' + file_base + suffix for anc in ancestries}
else:
out = [anc + '_' + file_base + suffix for anc in ancestries]
return out
def g... | |
275: 'podoon',
276: 'life_time_fitness',
277: 'falco_e_motors', # Falco eMotors Inc.
5759: 'actigraphcorp',
},
),
'mesg_count': FieldType(
name='mesg_count',
base_type=BASE_TYPES[0x00], # enum
values={
0: 'num_per_file',
1: 'max_per_file',
2: 'max_per_file_type',
},
),
'mesg_num': FieldType(
name='mesg_... | |
# Normal-exponential using out-of-band probes
# normex: negative control probes
# noob: ‘out-of-band’ Infinium I probes
# Lib
import logging
import numpy as np
import pandas as pd
from statsmodels import robust
from scipy.stats import norm, lognorm
# App
from ..models import ControlType, ArrayType
from ..models.sketch... | |
<filename>rbs_m2/solver/solver.py
import argparse
import csv
import re
import sys, os
import struct
from attr import dataclass
from abc import abstractmethod
from typing import Iterator, List, Tuple, Set
#from skyfield.sgp4lib import EarthSatellite
from skyfield.api import load, Topos, EarthSatellite
from randomize_c... | |
(go_trials, nogo_trials) = (0, 0)
for lever in lever_on:
if eventcode[lever + 1] in ('LightOn1', 'LightOn2'):
nogo_trials += 1
else:
go_trials += 1
return go_trials, nogo_trials
def num_switch_trials(eventcode):
"""
:param eventcode: list of event codes from operant conditioning file
:return: number of lar... | |
# MIT license
# <EMAIL>
import OpenGL
from OpenGL.GL import *
from OpenGL.GLU import *
from .math import *
from .tool import *
from .qt import *
from . import gl
import time
import sys
class Camera(object):
def __init__(self, owner):
self.owner = owner
# frame/pivot
self.frame = Rigid3()
self.frame.cente... | |
<= 27:
return 1
else:
if f5 <= 26:
if f6 <= 20:
if f6 <= 5:
if f4 <= 4:
return 3
else:
return 4
else:
return 3
else:
return 3
else:
return 3
else:
if f4 <= 17:
if f4 <= 8:
if f4 <= 7:
if f5 <= 27:
if f1 <= 28:
return 1
else:
return 6
else:
return 5
else:
if f5 <= 33:
return 4
else:
return... | |
return default
return "Default"
row = cloud_utils.lower_key(db.get_row_dict("tblEntities", {"id": dbid}, order="ORDER BY id LIMIT 1"))
if row:
return row["name"]
else:
return "None"
## "external_address_type": row["externalipaddresstype"],
# "external_address": row["externalipaddress"],
# "external_address_nat"... | |
<gh_stars>0
import pandas as pd
import os, sys, inspect
import xlsxwriter
from math import floor, log10, isnan
# below 3 lines add the parent directory to the path, so that SQL_functions can be found.
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(curr... | |
self.solver.solve(N, self.solver.dynamics_local, x0=x0, u0=u0)
self.tti, self.F, self.f = ret
return ret
def compute_tti(self, x):
"""
Returns time to impact in seconds
"""
return self.dynamics_global.get_time_to_impact(x)[0]
def run(self, x0):
""" Execute the controller for a given system
The control... | |
<filename>src/crl/devutils/tasks.py
from __future__ import print_function
import os
import shutil
import sys
from collections import namedtuple
from contextlib import contextmanager
from invoke import task
from invoke.main import program
from crl.devutils import (
versionhandler,
githandler,
packagehandler,
setupha... | |
"""Base implementation of event loop.
The event loop can be broken up into a multiplexer (the part
responsible for notifying us of IO events) and the event loop proper,
which wraps a multiplexer with functionality for scheduling callbacks,
immediately or at a given time in the future.
Whenever a public API takes a ca... | |
<reponame>geoboxers/thatsDEM2<filename>thatsDEM2/array_geometry.py
# Original work Copyright (c) 2015, Danish Geodata Agency <<EMAIL>>
# Modified work Copyright (c) 2015-2016, Geoboxers <<EMAIL>>
# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted, ... | |
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import skimage.io as io
import skimage.filters as flt
#%matplotlib inline
# since we can't use imports
import numpy as np
import scipy.ndimage.filters as flt
import warnings
from sklearn.mixture import GaussianMixture as GM
from scipy import interpo... | |
"fair_share:TAGS TIME %s"%(time.time()-start_t, ))
start_t=time.time()
Trace.trace(self.trace_level+4, 'fair_share:postponed rqs %s'%(self.postponed_requests))
if len(tags) > 1:
for key in tags:
if self.pending_work.get_sg(key) in self.postponed_requests.sg_list.keys():
pass # request for this SG is already in po... | |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Generated Tue Oct 10 00:42:20 2017 by generateDS.py version 2.28b.
# Python 2.7.12 (default, Nov 19 2016, 06:48:10) [GCC 5.4.0 20160609]
#
# Command line options:
# ('--no-process-includes', '')
# ('-o', 'esociallib/v2_04/evtAltContratual.py')
#
# Command line argument... | |
<reponame>codegrande/hammer
import boto3
import json
import logging
import configparser
import re
from functools import lru_cache
from datetime import datetime, timedelta, timezone
class Config(object):
"""
Basic class do deal with hammer configuration.
It takes uses local file to construct config object.
"""
... | |
import os
import numpy as np
import logging
import h5py
from ..builder_utils import mpi_rank, mpi_size, barrier
from .edge_props_table import EdgeTypesTableMPI
logger = logging.getLogger(__name__)
class EdgesCollatorSingular(object):
"""Used to collect all the edges data-tables created and stored in the EdgeTypes... | |
<filename>compute_xlmetrics.py
#!/usr/bin/env python
import errno
import os
import sys
import subprocess
import json
import argparse
def mkdir_p(path):
""" mkdir -p
"""
try:
os.makedirs(path)
except OSError as exc:
if exc.errno == errno.EEXIST and os.path.isdir(path):
pass
else:
raise
def listdir_full_path... | |
'v_10'), ('v_10', 't_2'), ('t_2', 'v_10'), ('v_7', 't_3'), ('c_1', 't_3'), ('v_8', 't_4')},
'>': {('c_1', 'v_5'), ('t_3', 'v_8'), ('t_3', 'v_9'), ('c_1', 't_4'), ('t_2', 'v_5'), ('t_2', 'v_6'),
('t_3', 'v_10'), ('t_2', 'v_7'), ('c_1', 'v_7'), ('t_4', 'v_8'), ('c_1', 'v_6'), ('t_4', 'v_10'),
('c_1', 't_3'), ('t_2', '... | |
###############################################################################
#
# The MIT License (MIT)
#
# Copyright (c) Crossbar.io Technologies GmbH
#
# 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 ... | |
# -*- coding: utf-8 -*-
"""Classes for interacting with models."""
import logging
from datetime import datetime
from ._api_object import ApiObject
from urllib.parse import urlencode
from .error import NotFoundError, ResponseError
from typing import Union
from time import time as t
from time import sleep
class Models:... | |
<filename>src/cnlpt/cnlp_data.py
import os
from os.path import basename, dirname
import time
import logging
from filelock import FileLock
from typing import Callable, Dict, Optional, List, Union, Tuple
import numpy as np
import torch
from torch.utils.data.dataset import Dataset
from transformers.data.processors.utils... | |
entity=None, removed=None, **unknown_fields):
'''
entity : Any
removed : bool
'''
entity_ = entity
removed_ = removed
# Validate arguments against known Juju API types.
if removed_ is not None and not isinstance(removed_, bool):
raise Exception("Expected removed_ to be a bool, received: {}".format(type(remove... | |
may have been deprecated
such as 'crs_transform'.
Returns:
An unstarted Task that exports the image to Drive.
"""
config = _capture_parameters(locals(), ['image'])
config = _prepare_image_export_config(image, config,
Task.ExportDestination.ASSET)
return _create_export_task(config, Task.Type.EXPORT_IMAGE)
# D... | |
<filename>yapypy/extended_python/grammar.py<gh_stars>0
RBNF = r"""
NEWLINE := ''
ENDMARKER := ''
NAME := ''
INDENT := ''
DEDENT := ''
NUMBER := ''
STRING := ''
single_input ::= it=NEWLINE | seq=simple_stmt | it=compound_stmt NEWLINE
file_input ::= (NEWLINE | seqs<<stmt)* [ENDMARKER] -> mod=Module(sum(seqs or [], []));... | |
#coding: utf-8
import subprocess, sys, os
import threading, time, datetime
import logging, argparse
import shutil
from inter.apkcookpy.lib.apk import APKCook
import xml.etree.ElementTree as ET
logging.basicConfig(level = logging.INFO, format='%(asctime)s - %(levelname)s [%(filename)s:%(lineno)d]: %(message)s')
def ... | |
<filename>pypsexec/scmr.py
# -*- coding: utf-8 -*-
# Copyright: (c) 2019, <NAME> (@jborean93) <<EMAIL>>
# MIT License (see LICENSE or https://opensource.org/licenses/MIT)
import logging
import struct
import uuid
from collections import (
OrderedDict,
)
from smbprotocol.connection import (
NtStatus,
)
from smbprot... | |
<reponame>vaMuchenje/Template-Python
#
# The Template-Python distribution is Copyright (C) <NAME> 2007-2008,
# derived from the Perl Template Toolkit Copyright (C) 1996-2007 Andy
# Wardley. All Rights Reserved.
#
# The file "LICENSE" at the top level of this source distribution describes
# the terms under which this fi... | |
# This file was automatically generated by SWIG (http://www.swig.org).
# Version 2.0.10
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info
if version_info >= (3,0,0):
new_instancemethod = lambda func, inst, cls: _IntCurvesF... | |
the level's random effects
covariance
Returns
-------
Jf: dict of array_like
For each level contains the derivative of the cholesky parameters
with respect to the covariance
Notes
-----
Function evaluates the derivative of the cholesky parameterization
with respect to the lower triangular componen... | |
<reponame>msobrevillac/sockeye
# Copyright 2017 Amazon.com, Inc. or its affiliates. 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. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# o... | |
table table-striped table-bordered "
"table-condensed"))
@property
def name(self):
return self.table_name
@property
def table_link(self):
return '<a href="{obj.explore_url}">{obj.table_name}</a>'.format(obj=self)
@property
def metrics_combo(self):
return sorted(
[
(m.metric_name, m.verbose_name or m.metr... | |
<reponame>piyengar/jigsaw-severity<gh_stars>0
#!/usr/bin/env python
# coding: utf-8
# In[1]:
import os # operating system library
import gc # Garbage Collector - module provides the ability to disable the collector, tune the collection frequency, and set debugging options
import copy # The assignment operation does ... | |
<gh_stars>10-100
# -*- coding: utf-8 -*-
# Copyright 2022, SERTIT-ICube - France, https://sertit.unistra.fr/
# This file is part of eoreader project
# https://github.com/sertit/eoreader
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.... | |
broker._waitForStable()
return self.schemaCache.getClasses(packageName)
def getSchema(self, classKey):
""" Get the schema for a QMF class """
for broker in self.brokers:
broker._waitForStable()
return self.schemaCache.getSchema(classKey)
def bindPackage(self, packageName):
""" Filter object and event callba... | |
if "transition_y" in slide.overlay_text else "center"
text = slide.overlay_text["title"].replace(':', r'\:')
# fixed text in the middle
if transition_x == "center":
x = "(main_w/2-text_w/2)"
# scroll from left to right till the middle of the image in half of the duration time
elif transition_x == "left-in" or tr... | |
"""
mfcln module. Contains the ModflowCln class. Note that the user can access
the ModflowCln class as `flopy.modflow.ModflowCln`.
Compatible with USG-Transport Version 1.7.0. which can be downloade from
https://www.gsi-net.com/en/software/free-software/modflow-usg.html
Additional information for this MODFLOW package... | |
k_hop: Number of layers for gcnii.
lambda_l: The hyperparameter of lambda in the paper.
alpha: The hyperparameter of alpha in the paper.
dropout: Feature dropout rate.
"""
def __init__(self,
hidden_size,
activation=None,
lambda_l=0.5,
alpha=0.2,
k_hop=10,
dropout=0.6):
super(GCNII, self).__init__()
s... | |
<reponame>hbrunie/cctbx_project
from __future__ import absolute_import, division, print_function
from iotbx.pdb.atom_selection import selection_string_from_selection
from scitbx.array_family import flex
from mmtbx.ncs import ncs_search
from libtbx.utils import Sorry, null_out
import libtbx.phil
import iotbx.pdb.hierarc... | |
from __future__ import print_function
import torch
import torch.nn as nn
import torch.utils.data
from torch.autograd import Variable
import torch.nn.functional as F
import math
import numpy as np
import pdb
import kornia
class residualBlock(nn.Module):
expansion = 1
def __init__(self, in_channels, n_filters, stride... | |
#Python 2.7.9 (default, Apr 5 2015, 22:21:35)
# full env in environment.yml
import sys, os
'''
This is a full aggregation of the Pulsar Hunters project, including user weighting.
Note it's quite a simple project - basically one Yes/No question - and there is gold-standard data, so the weighting is relatively straigh... | |
<gh_stars>1-10
'''
Class for transforming a lexed list of tokens into a parse tree
for a WoW macro.
'''
import re
import sys
from sys import exit
# Macro modules
from macro.exceptions import *
from macro.logger import logger
from macro.util import clean_macro
from macro.lex.lexer import GLOBAL_MACRO_TOKENIZER, MacroC... | |
#!/usr/bin/env python
# coding=utf-8
# author=<NAME>
"""SFTPClone tests."""
# Simply launch me by using nosetests and I'll do the magic.
# I require paramiko
# Python 2.7 backward compatibility
from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
impor... | |
'''expand the INCA Ecoli model to account for additional metabolites'''
query = stage02_isotopomer_query()
# get the xml model
cobra_model_sbml = ''
cobra_model_sbml = query.get_row_modelID_dataStage02IsotopomerModels(model_id_I);
# load the model
if cobra_model_sbml:
if cobra_model_sbml['file_type'] == 'sbml':... | |
#!/usr/bin/env python
#
# Copyright 2020 Autodesk
#
# 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 agre... | |
<reponame>dbernaciak/bayes-np<gh_stars>1-10
import scipy.stats as st
import numpy as np
import numba as nb
import matplotlib.pyplot as plt
from tqdm.auto import tqdm
import asyncio
import nest_asyncio
from nb_stats import *
nest_asyncio.apply()
class GaussianMixture:
def __init__(self, sd, rho, mu=None):
"""
:par... | |
a zero form pressed.
def plot(self, axis):
'''
Finilises the plotting
Uses the attribues of the object as set originally and as customised
with methods to create a plot of the 2-form.
parametes:
-------------
axis - matplotlib axis that 0-form will be plotted on
'''
# Extract L from the x and y grids
Lx ... | |
'blocking':
self.mode = 'blocking'
curses.flushinp()
return self.__poll_waiting_blocking(0, flag, indent)
# change verbosity
if k == ord('v'):
self.verbose_mode += 1
if self.verbose_mode > 3:
self.verbose_mode = 1
do_refresh = True
# change duration mode
if k == ord('T'):
self.duration_mode += 1
if self.du... | |
<filename>pinkfish/statistics.py
"""
statistics
---------
Calculate trading statistics
"""
# Use future imports for python 3.0 forward compatibility
from __future__ import print_function
from __future__ import unicode_literals
from __future__ import division
from __future__ import absolute_import
# Other imports
impo... | |
# Part of the JBEI Quantitative Metabolic Modeling Library (JQMM)
# Copyright (c) 2016, The Regents of the University of California.
# For licensing details see "license.txt" and "legal.txt".
"""
All functions to obtain the Toya data and a test suite.
This module effectively reproduces all figures in Garcia Martin et a... | |
FileName in L:
MSG.append (" - " + FileName);
MSG.append ("-"*80);
self.__PRJ.lp (MSG);
allsentences = [] ;
for FileAddress in L:
Sentences , Root , LOCAL_TotalCorpusRootAnalysisResult = self.__PRJ.Preprocessor.ProcessCorpus (FileAddress,DuplicationRemovalPolicy,SkipSentences);
allsentences.extend (Sente... | |
= os.stat(fname)
os.chmod(fname, st.st_mode | stat.S_IEXEC)
if stage:
param = stage.replace('-', '_')
option = "stage_" + param
dict_ = vars(self.args)
if option in dict_:
if dict_[option]:
print("*"*20)
print("Executing ", fname)
print("*"*20)
os.system("./" + fname)
pass
def build_nuitkas(self):
# i... | |
"HAK": {
"symbol": "HAK",
"name": "Shaka",
"type": "ERC20",
"address": "0x93a7174dafd31d13400cD9fa01f4e5B5BAa00D39",
"ens_address": "",
"decimals": 18,
"website": "https://www.friendsfingers.com",
"logo": {
"src": "https://www.friendsfingers.com/img/brand-resources/shaka_logo_white.png",
"width": "600px",
"h... | |
"""
auralib module containing plotting functions and related stuff...
Author: <NAME>
Created: 20-Jan-2017
Last Mod: 20-Aug-2016
"""
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from matplotlib.widgets import MultiCursor
import numpy as np
def t2xy(d1, d2, d3, norm=True):
... | |
'Not Found':
logger.debug('**%s %s already deleted.' % (kind, name))
else:
logger.error(e)
raise e
def create_and_start_vm_from_iso(params):
metadata_name = _get_param('--name', params)
network_config = _get_param('--network', params)
try:
operation_queue = ['virsh dommemstat --period %s --domain %s --config ... | |
op):
bk = self.rtyper.annotator.bookkeeper
funcdesc, = s_pbc.descriptions
args = simple_args(args_s)
with bk.at_position(None):
graph = funcdesc.get_graph(args, op)
llfn = self.rtyper.getcallable(graph)
return inputconst(typeOf(llfn), llfn)
class __extend__(pairtype(FunctionRepr, FunctionRepr)):
def convert_... | |
<reponame>tlapusan/DecisionTreeStructure
import logging
import sys
import graphviz
import numpy as np
import pygraphviz as pgv
from matplotlib import pyplot as plt
from sklearn import tree as sklearn_tree
from sklearn.tree import DecisionTreeRegressor, DecisionTreeClassifier
logging.basicConfig(level=logging.INFO, fo... | |
<gh_stars>1-10
# -*- coding: utf-8 -*-
import sys, os
import subprocess
import datetime, time
import argparse
import cairo
from math import pi, radians, sin, cos, asin, sqrt
from multiprocessing import Process, Queue
gpxfile = None
output = None
parser = argparse.ArgumentParser()
parser.add_argument("-g", "--gpx", de... | |
<reponame>alvarolgn/toolium
# -*- coding: utf-8 -*-
"""
Copyright 2022 Telefónica Investigación y Desarrollo, S.A.U.
This file is part of Toolium.
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
h... | |
#!/usr/bin/python3
# First choice pack and unpack into sqlite
# <NAME> 2021
try:
import sys
except:
print("Please install the sys module")
print("\tit should be part of the standard python3 distribution")
raise
try:
import struct
except:
print("Please install the struct module")
print("\tit should be part o... | |
<reponame>wangg12/torchsample
import os.path as osp
import random
import math
import numpy as np
from collections import Sequence
import torch
import mmcv
import torch as th
import torch.nn.functional as F
from ..utils import th_random_choice
class Compose(object):
"""Composes several transforms together."""
def ... | |
"""A set of stream oriented parsers for http requests and responses, inline
with the current draft recommendations from the http working group.
http://tools.ietf.org/html/draft-ietf-httpbis-p1-messaging-17
Unlike other libraries, this is for clients, servers and proxies.
Missing:
comma parsing/header folding
"""
... | |
import collections
import json
import logging
import os
import numpy as np
import torch
from torch.utils.data import TensorDataset, DataLoader
from tqdm import tqdm
from transformers import AutoTokenizer, AutoModelForSequenceClassification
current_script_path = __file__
project_root = os.path.realpath(
os.path.join(... | |
# 100,15,300003
tem=1
for j in range(sequence_length[0]-1):
tem*=prob_old[j][input[0][j+1]]
tem*=prob_old[j+1][option.dict_size+1]
prob_old_prob=tem
if sim!=None:
similarity_old=similarity(input, input_original,sta_vec,\
id2sen, emb_word, option, similaritymodel)[0]
prob_old_prob=prob_old_prob*similarity_old
... | |
50, "all"),
("Fcst", "T", "SCALAR", 6, 9, 70, "all"),
("Fcst", "T", "SCALAR", 9, 12, 70, "all"),
("Fcst", "MaxT", "SCALAR", "MaxTBegin", "MaxTEnd", 47, ["AboveElev"]),
("Fcst", "MaxT", "SCALAR", "MaxTBegin", "MaxTEnd", 52, ["BelowElev"]),
],
"checkStrings": ["Highs 47 to 52"],
},
{
"name": "Temp_25-30",
"co... | |
{'name': '土默特右旗', 'pid': 96, 'zipcode': 14100},
1430: {'name': '昆都仑区', 'pid': 96, 'zipcode': 14000},
1431: {'name': '白云鄂博矿区', 'pid': 96, 'zipcode': 14000},
1432: {'name': '石拐区', 'pid': 96, 'zipcode': 14000},
1433: {'name': '达尔罕茂明安联合旗', 'pid': 96, 'zipcode': 14500},
1434: {'name': '青山区', 'pid': 96, 'zipcode': 14000... | |
= m.get('enabled')
if m.get('remark') is not None:
self.remark = m.get('remark')
return self
class UpdateAlertStrategyResponse(TeaModel):
def __init__(
self,
req_msg_id: str = None,
result_code: str = None,
result_msg: str = None,
):
# 请求唯一ID，用于链路跟踪和问题排查
self.req_msg_id = req_msg_id
# 结果码，一般OK表示调用成功
self... | |
# Copyright 2019 D-Wave Systems Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writi... | |
#<NAME> mouseExpMan, that big old file with classes for all the data I'm going to collect
#lol how this is all actually metadata... >_<
#sqlite3 and/or sqlalchemy backed by sqlite, franky, I'm going to use sqlite one way or another, and I think sqlalchemy is a better fit for my needs
#FIXME: this is old, should it be h... | |
= image_file_reader.read_frame(frame_index)
if frame_number > int(getattr(metadata, 'NumberOfFrames', '1')):
raise ValueError(
f'Provided frame number {frame_number} exceeds number '
'of available frames.'
)
if not transfer_syntax_uid.is_encapsulated:
pixels = frame
else:
if reencoding_media_type is None:
p... | |
else:
column_args.insert(0, Column(record_key, String, primary_key=True))
elif datatype == 'float':
column_args.insert(0, Column(record_key, Float, primary_key=True))
elif datatype == 'integer':
column_args.insert(0, Column(record_key, Integer, primary_key=True))
else:
raise ValueError('Field "id" in record_sche... | |
crime | candy"], gain, "statgems")
else:
desc += " :lollipop:`lollipop`"
sql.add(PlayerID, "lollipop", gain, "inventory")
sql.add(PlayerID, ["Halloween", "Halloween | crime | lollipop"], gain, "statgems")
else:
desc = "{1} {0} :gem:`gems`".format(gain, lang_P.forge_msg(lang, "crime array", None, True))
sql.addGe... | |
list
:param size: Number of sample to draw from data
:return:
"""
# Hack to avoid skipping the first value of the parameter list.
# This function is called once when the _algorithm __init__
# has to initialize the parameter names. Because of this, we end up
# losing the first value in the list, which is undesira... | |
<reponame>lauraschachter/pydrograph
__author__ = 'lschachter'
import datetime as dt
import time
from urllib.request import urlopen
import numpy as np
import pandas as pd
from shapely.geometry import Point, Polygon, shape
import pyproj
import gisutils
import urllib3
import xmltodict
import datetime
def make_url(site_c... | |
YOLO format and export as files.
If you pass classes, classes.txt will be generated based on it .
If not , classes.txt will be generated based on passed tasks .(Annotations never used in your project will not be exported.)
tasks is a list of tasks. (Required)
classes is a list of annotation values. e.g. ['dog','bi... | |
<reponame>Kochise/canette
#!/usr/bin/env python
# author: d.koch
# coding: utf-8
# naming: pep-0008
# typing: pep-0484
# docstring: pep-0257
# indentation: tabulation
""" canp_node.py
Node
card-chan-NODE-conf
"""
# --- IMPORT ---
# Standard libraries (installed with python)
#import logging
import os
import sys
s... | |
need_num = 2
break
d_ite.append(pool[j])
need_num = need_num - 1
pai_num = pai_num - 1
if need_num == 0:
combine(qua_two,r_qua[i],d_ite)
remove_pack(pool,d_ite)
d_ite = []
d_qua.append(r_qua[i])
break
else:
if is_pai(pool[j]):
continue
else:
if len(d_ite) == 1 and n_need == 1:
if d_ite[0] == pool[j]:
... | |
= Var(within=Reals,bounds=(0,500),initialize=0)
m.x1877 = Var(within=Reals,bounds=(0,500),initialize=0)
m.x1878 = Var(within=Reals,bounds=(0,500),initialize=0)
m.x1879 = Var(within=Reals,bounds=(0,500),initialize=0)
m.x1880 = Var(within=Reals,bounds=(0,500),initialize=0)
m.x1881 = Var(within=Reals,bounds=(0,500),initia... | |
<gh_stars>0
# -*- coding: utf-8 -*-
"""
Created by <NAME> on 08/20/2020
"""
import tkinter as tk
import tkinter.messagebox as messagebox
from tkinter import ttk
from datetime import datetime
import sys
from PIL import ImageTk, Image
import cv2
import database
from win10toast import ToastNotifier
from os import path
... | |
for batch in to_insert_batches(rows):
res = self.cursor.executemany(stmt, batch)
# new version of crate does not bomb anymore when
# something goes wrong in multi entries
# simply it returns -2 for each row that have an issue
# TODO: improve error handling.
# using batches, we don't need to fail the whole set
# ... | |
85, 13),
(166, 54, 3)],
6: [
(254, 237, 222),
(253, 208, 162),
(253, 174, 107),
(253, 141, 60),
(230, 85, 13),
(166, 54, 3)],
7: [
(254, 237, 222),
(253, 208, 162),
(253, 174, 107),
(253, 141, 60),
(241, 105, 19),
(217, 72, 1),
(140, 45, 4)],
8: [
(255, 245, 235),
(254, 230, 206),
(253, 208, 162),
... | |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | |
<filename>day05/day05_puz1.py<gh_stars>1-10
#! /usr/bin/env python
def run_opcode(code_list, programme_input=1):
"""Run the opcode as determined by the values in code_list
Before you enter the next loop, check to see if the opcode
(the first number in the sequence) is 99. If it is, then
you can stop and return t... |
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