input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
Telha - PI', 'pt': 'Cocal de Telha - PI'},
'55863264':{'en': u('Jos\u00e9 de Freitas - PI'), 'pt': u('Jos\u00e9 de Freitas - PI')},
'55863265':{'en': u('Uni\u00e3o - PI'), 'pt': u('Uni\u00e3o - PI')},
'55863267':{'en': 'Lagoa Alegre - PI', 'pt': 'Lagoa Alegre - PI'},
'55863269':{'en': 'Beneditinos - PI', 'pt': 'Ben... | |
9.23844143e-01,
],
[
1.19368104e00,
1.01462773e00,
8.94331130e-01,
8.51431703e-01,
8.94331130e-01,
1.01462773e00,
1.19368104e00,
],
]
)
if do_tests is True:
np.testing.assert_allclose(rjb, dctx.rjb, rtol=0, atol=0.01)
else:
print(repr(dctx.rjb))
rrup = np.array(
[
[
4.0129619,
3.93137849,
3.8765... | |
"""
Module for PAMPAC action classes.
"""
from abc import ABC, abstractmethod
from gatenlp import Annotation
from gatenlp.features import Features
class Getter(ABC):
"""
Common base class of all Getter helper classes.
"""
@abstractmethod
def __call__(self, succ, context=None, location=None):
pass
def _get_mat... | |
recursively.
This method is designed to initialize each layer instance once, even if the
same layer instance occurs in multiple places in the network. This enables
weight sharing to be implemented as layer sharing.
Args:
input_shapes: A tuple representing a shape (if this layer takes one input)
or a tuple of sh... | |
<reponame>AshKelly/PyAutoLens<filename>workspace/howtolens/chapter_4_inversions/scripts/tutorial_5_borders.py
from autolens.data import ccd
from autolens.data.array import mask as msk
from autolens.model.profiles import light_profiles as lp
from autolens.model.profiles import mass_profiles as mp
from autolens.model.gal... | |
# -*- coding: utf-8 -*-
from openerp import models,fields,api,_
import logging
import base64
import io
import time
import commands
import os
import datetime
from datetime import datetime
from openerp.exceptions import ValidationError, except_orm
from openerp.osv.osv import osv
_logger = logging.getLogger(__name__)
fro... | |
<filename>tests/retirement_constants.py
FONDO_PARA_RETIRO_JSON_0 = {
"reg_wdr": 2000,
"num_of_years": 2,
"freq": 12,
"rate": 5,
"wdr_when": 0,
}
FONDO_PARA_RETIRO_JSON_1 = {
"reg_wdr": 2000,
"num_of_years": 2,
"freq": 12,
"rate": 5,
"wdr_when": 1,
}
# noinspection DuplicatedCode
FONDO_PARA_... | |
#!/usr/bin/python
##------------------------------------------------------------------------------------------------------------------
## Module: demoPPP.py
## Release Information:
## V1.0.0 (<NAME>, 06/29/2012) : Initial release
## V1.1.0 (<NAME>, 11/12/2012) : Added connection testing
## V1.1.1 (<NAME>, 11/13/2012) ... | |
"""Generate training input/output pairs."""
raise NotImplementedError('Subclasses must override this method.')
def fidelity_test(self, *args):
"""Test the fidelity function using a different method."""
raise NotImplementedError('Subclasses must override fidelity_test().')
def fidelity(self, *args):
"""Compute t... | |
= []
for mi, atoms1 in enumerate(g) :
ress1 = atoms1[0].residue
ressN = atoms1[-1].residue
print " - %d/%d, %d-%d" % (mi+1, numProc, ress1.id.position, ressN.id.position)
procAtomsPath = os.path.join ( tempPath, "%d_atoms.txt" % mi )
fout = open ( procAtomsPath, "w" )
for at in atoms1 :
r = at.residue
altLoc... | |
from pyflamegpu import *
import sys, random, math
"""
FLAME GPU 2 implementation of the Boids model, using spatial3D messaging.
This is based on the FLAME GPU 1 implementation, but with dynamic generation of agents.
Agents are also clamped to be within the environment bounds, rather than wrapped as in FLAME GPU 1.... | |
# 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 writing, software
# distributed under the Li... | |
# Copyright (c) 2021, <NAME>
# May 2021. Started on May 17 for Localized Conflict Modeling.
# First, read GPW population count data as GeoTIFF.
# Write-up and theoretical results in late May.
#-------------------------------------------------------------------
#
# conda activate tf36
# python
# from topoflow.utils imp... | |
dist_reps.shape) [30, 33, 30]
# print("self.opt['use_biw2v']=", self.opt['use_biw2v']) 0
word_feats = []
if not self.opt['use_biw2v']:
word_embeds = self.get_xlmr_reps(combined_task_inputs) # [batch size, seq len, xlmr dim]
word_embeds = self.dropout(word_embeds)
else:
word_embeds = self.biw2v_embedding(biw... | |
None), slice(2, (- 30), None))]
new_data_df = pd.DataFrame(new_data)
installment_amt = new_data[(slice(None, None, None), 5)]
bins = np.linspace(installment_amt.min(), installment_amt.max(), 10)
installment_amt = installment_amt.astype(float).reshape(installment_amt.size, 1)
binned_installment_amt = pd.DataFrame(n... | |
<filename>use_cases/2020_12/run/dispatchers/dereg.py
import os
import sys
from functools import partial
import numpy as np
import pyomo.environ as pyo
from pyomo.opt import SolverStatus, TerminationCondition
# 43 kWh/kgH2 = 4.3e1 kWh/kgH2
e_per_h2 = 43e-6 # GWh / kgH2
def dispatch(info):
"""
Dispatches the compone... | |
without path
if not name:
if not hasattr(file, 'name'):
raise click.UsageError('The --file must have a name attribute, or --name must be specified')
name = os.path.basename(file.name)
client = build_client('object_storage', ctx)
total_size = os.fstat(file.fileno()).st_size
if total_size > 0:
upload_manager_kw... | |
<reponame>armingeiser/KratosSalomePlugin<gh_stars>1-10
# _ __ _ ___ _ ___ _ _
# | |/ /_ _ __ _| |_ ___ __/ __| __ _| |___ _ __ ___| _ \ |_ _ __ _(_)_ _
# | ' <| '_/ _` | _/ _ (_-<__ \/ _` | / _ \ ' \/ -_) _/ | || / _` | | ' \
# |_|\_\_| \__,_|\__\___/__/___/\__,_|_\___/_|_|_\___|_| |_|\_,_\__, |_|_||_|
# |___/
# Licens... | |
Returns
-------
list
List of envs for the given context.
"""
# First, get the context in data
contextData = self._data.get(context, None)
if contextData is None:
return []
# Then, get the env in the precedently queried context dict.
envData = contextData.get('envs', None)
if envData is None:
return []
r... | |
""""
STRIP Scanning Strategy Tools test module.
"""
import unittest
import healpy as hp
import numpy as np
from ScanningTools import ScanningTools as st
from astropy.time import Time
from astropy.coordinates import SkyCoord, AltAz
from ScanningTools.Quaternions import Quaternion as q
angles = np.array([[-10, 45, 59... | |
import os, sys
sys.path.append(os.getcwd())
import time
import numpy as np
import tensorflow as tf
import tflib as lib
import tflib.ops.linear
import tflib.ops.conv2d
import tflib.ops.batchnorm
import tflib.ops.deconv2d
import tflib.save_images
import tflib.plot
import tflib.flow_handler as fh
import tflib.SINTELdata... | |
<filename>tests/test_cookies.py
import pytest
from flask import Flask
from flask import jsonify
from flask import request
from flask_jwt_extended import create_access_token
from flask_jwt_extended import create_refresh_token
from flask_jwt_extended import jwt_required
from flask_jwt_extended import JWTManager
from fla... | |
<filename>src/models/new_allen_nlp/Mortality/MortalityReader.py
import tempfile
from typing import Dict, Iterable, List, Tuple
from overrides import overrides
import torch
import allennlp
from allennlp.data import DataLoader, DatasetReader, Instance, Vocabulary
from allennlp.data.fields import LabelField, TextField,... | |
from __future__ import print_function
import argparse
from datetime import datetime
import os
import re
import signal
import ssl
import subprocess
import sys
import tempfile
import time
from werkzeug.serving import make_ssl_devcert
# pylint: disable=wrong-import-order
try:
from urllib.parse import urlsplit, splitport
... | |
<filename>netket/operator/_hamiltonian.py
# Copyright 2021 The NetKet 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... | |
import pygame, pygcurse
from pygame.locals import *
import LED_display as LD
import HC_SR04 as RS
import threading
import time
import copy
import os
t=threading.Thread(target=LD.main, args=())
t.setDaemon(True)
t.start()
WINWIDTH = 32
WINHEIGHT = 16
FPS = 60
mode_list = ['mouse', 'keyboard', 'sensor']
mode = mode... | |
<gh_stars>1-10
#!/usr/bin/env python
import json, os, string, sys, tempfile
from contextlib import nested
from distutils.core import run_setup
from django.utils.importlib import import_module
from fabric.context_managers import settings as fab_settings
from fabric.context_managers import _setenv, cd
from fabric.contr... | |
in slices:
try:
self.recover_slice(slice_obj=s)
except Exception as e:
self.logger.error(traceback.format_exc())
self.logger.error("Error in recoverSlice for property list {}".format(e))
if s.is_inventory():
raise e
def recover_broker_slice(self, *, slice_obj: ABCSlice):
"""
Recover broker slice at the AM, d... | |
<reponame>jhill1/thetis
r"""
3D advection diffusion equation for tracers.
The advection-diffusion equation of tracer :math:`T` in conservative form reads
.. math::
\frac{\partial T}{\partial t}
+ \nabla_h \cdot (\textbf{u} T)
+ \frac{\partial (w T)}{\partial z}
= \nabla_h \cdot (\mu_h \nabla_h T)
+ \frac{\partia... | |
<reponame>twopis/twopis
# -*- coding: utf-8 -*-
# Code for creating many graphs
import numpy as np
import json
import copy
from scipy.stats import beta, linregress
import matplotlib.patches as mpatches
from matplotlib.colors import LinearSegmentedColormap
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d impor... | |
<filename>pilot_main.py
#!/usr/bin/python
"""Parses and loads RGI questions from excel into MongoDB"""
from xlrd import open_workbook
from sys import argv
from pilot_parser import parse
from pymongo import MongoClient
import json
from pprint import pprint
# from utils import write_json
def main(args):
"""Main bod... | |
<gh_stars>1-10
from Multiple_GAN_codes.Basic_structure import *
from keras.datasets import mnist
import time
from utils import *
from scipy.misc import imsave as ims
from ops import *
from utils import *
from Utlis2 import *
import random as random
from glob import glob
import os,gzip
import keras as keras
... | |
import sys, os, time
import numpy as np
import scipy as sci
import scipy.stats as ss
import scipy.sparse.linalg as slin
import copy
from .mytools.MinTree import MinTree
from scipy.sparse import coo_matrix, csr_matrix, lil_matrix
from .mytools.ioutil import loadedge2sm
from .edgepropertyAnalysis import MultiEedgePropBiG... | |
<filename>examples/signal_processing_examples/dsp_filters.py
import scipy.signal
import numpy as np
import sys
"""
This module shows how to use map_element in IoTPy
to build a library of classes for filtering streams
by encapsulating software from scipy.signal and
other software libraries.
The module consists of a bas... | |
[]
for j in range(len(bp_shear[0])):
na_std.append([
np.std(bp_shear[:, j]), np.std(bp_stretch[:, j]), np.std(bp_stagger[:, j]),
np.std(bp_buckle[:j]), np.std(bp_prop[:, j]), np.std(bp_open[:, j]), np.std(bp_shift[:, j]),
np.std(bp_slide[:, j]), np.std(bp_rise[:, j]), np.std(bp_tilt[:, j]), np.std(bp_roll[:, j]),
... | |
<gh_stars>10-100
#
# Copyright (c) SAS Institute 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 a... | |
<reponame>brandherd/PyCosmic<gh_stars>0
from astropy.io import fits as pyfits
import numpy
from scipy import ndimage
from scipy import stats
__author__ = "<NAME>"
__credit__ = ['<NAME>', '<NAME>', '<NAME>']
__copyright__ = "Copyright 2020, <NAME>"
__license__ = "MIT"
__url__ = 'https://github.com/brandherd/PyCosmic'
_... | |
__all__ = [
'get_summary_mapping',
'generate_summaryxref_files',
'merge_oed_to_mapping',
'write_exposure_summary',
'write_summary_levels',
'write_mapping_file',
]
import io
import json
import os
import warnings
import pandas as pd
from ..utils.coverages import SUPPORTED_COVERAGE_TYPES
from ..utils.data import ... | |
m.b596 <= 0)
m.e871 = Constraint(expr= m.b533 - m.b597 <= 0)
m.e872 = Constraint(expr= -m.b533 + m.b534 - m.b598 <= 0)
m.e873 = Constraint(expr= m.b535 - m.b599 <= 0)
m.e874 = Constraint(expr= -m.b535 + m.b536 - m.b600 <= 0)
m.e875 = Constraint(expr= m.b539 - m.b603 <= 0)
m.e876 = Constraint(expr= -m.b539 + m.b540 - m.... | |
desc limit 1",
(base_id,),
)
row = cur.fetchone()
latest = None
if row:
latest = row[0]
else:
warnings.warn(
"Failed to fetch latest version number for JASPAR motif"
f" with base ID '{base_id}'. No JASPAR motif with this"
" base ID appears to exist in the database.",
BiopythonWarning,
)
return latest
... | |
<gh_stars>1-10
import random
import time
from time import sleep
from uuid import uuid4
from datetime import datetime
from Jumpscale import j
from Jumpscale.data.schema.tests.schema import Schema
import unittest
T = unittest.TestCase()
def log(msg):
j.core.tools.log(msg, level=20)
def random_string():
return "s"... | |
# Copyright (c) 2015, University of Memphis, MD2K Center of Excellence
# - <NAME> <<EMAIL>>
# - <NAME> <<EMAIL>>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source cod... | |
<filename>pyxrf/model/load_data_from_db.py
from __future__ import absolute_import, division, print_function, unicode_literals
import h5py
import numpy as np
import os
import json
import multiprocessing
import pandas as pd
import platform
import math
import time as ttime
import copy
from distutils.version import LooseV... | |
Passed to `ax.plot`
# """
# top, bottom = self.get_border()
# color = kwargs.pop("color", "cyan")
# label = kwargs.pop("label", None)
# etop = self._plot_one_edge(
# ax, top, smooth, sg_kwargs, color=color, label=label, **kwargs
# )
# ebottom = self._plot_one_edge(
# ax, bottom, smooth, sg_kwargs, color=color, **kwar... | |
# Copyright 2011 <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 applicable law or agreed to in writing, software
... | |
"""
The `ModelSerializer` and `HyperlinkedModelSerializer` classes are essentially
shortcuts for automatically creating serializers based on a given model class.
These tests deal with ensuring that we correctly map the model fields onto
an appropriate set of serializer fields for each case.
"""
from __future__ import ... | |
<reponame>IBM/graph4nlp<gh_stars>10-100
from collections import namedtuple
import dgl
import numpy as np
import scipy.sparse
import torch
from .utils import SizeMismatchException, NodeNotFoundException, EdgeNotFoundException
from .utils import entail_zero_padding, slice_to_list
from .views import NodeView, NodeFeatVi... | |
<reponame>jvazquez77/marvin
#!/usr/bin/python
# -------------------------------------------------------------------
# Import statements
# -------------------------------------------------------------------
import math
import os
import re
import sys
from decimal import *
from operator import *
import marvin.db.models.... | |
1 0 1 0 1 1 2 2
V 2 -1 0 1 0 0 0 2 1 2 0 1 0 1 1 1 1 2
W 0 -1 -1 -1 0 -1 -1 0 -1 0 -1 -1 -1 -1 0 0 -1 0 2
Y 0 -1 0 0 2 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 2
A C D E F G H I K L M N P Q R S T V W Y""",
)
mat = SubsMat.SeqMat(MatrixInfo.structure)
self.assertEqual(len(mat), 210)
self.checkMatrix(
mat,
"""\
A 4
C -2 11
D ... | |
{
'project_id': 'path',
'location_id': 'path',
'replica_id': 'path',
'service_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__compute_project_replica_service_get
)
def __compute_project_replica_se... | |
<reponame>techthiyanes/dalle-mini
# coding=utf-8
# Copyright 2021-2022 The Fairseq Authors and The Google Flax Team Authors And The HuggingFace Inc. team and & DALL·E Mini team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with... | |
157 ],
[ 227, 137, 158 ],
[ 227, 137, 159 ],
[ 227, 138, 128 ],
[ 227, 138, 129 ],
[ 227, 138, 130 ],
[ 227, 138, 131 ],
[ 227, 138, 132 ],
[ 227, 138, 133 ],
[ 227, 138, 134 ],
[ 227, 138, 135 ],
[ 227, 138, 136 ],
[ 227, 138, 137 ],
[ 227, 138, 177 ],
[ 227, 138, 178 ],
[ 227, 138, 179 ],
[ 227, 138, ... | |
fieldidx = 0
for field in insertRow:
if field == None:
InsertQuery += "''"
else:
InsertQuery += "'" + field + "'"
if fieldidx < len(insertRow)-1:
InsertQuery += ","
fieldidx += 1
InsertQuery += ");"
SelectQuery = "select ParentID, UserContentsLocation from ProcessContentsTable where ContentsID = '... | |
values for dataset: {mat}'.format(
mat=dataset_name, dt=dt)
raise DateValidityError(message)
else:
cost_data = cost_data[cost_data['Metadata', 'Date'] == dt].squeeze()
if cost_data.empty:
raise DateValidityError('No valid cost values found for date: {dt} for dataset: {mat}'.format(
mat=dataset_name, dt=dt))
... | |
# imports
import bpy
import os
from bpy.props import StringProperty, BoolProperty, IntProperty, FloatProperty
from bpy_extras.io_utils import ImportHelper
from bpy.types import Operator
import math
import mathutils
from mathutils import *
from math import *
# BLENDER ADDON INFORMATION
bl_info = {
"name": "LatticeP... | |
"""Spectral Projection gurgle tools"""
from functools import wraps, cached_property
import numpy as np
from scipy.spatial.distance import cdist
from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import IncrementalPCA, PCA
from sklearn.utils.validation import check_is_fitted, check_array
from ... | |
"
oooo0OOo = ""
for III1Iiii1I11 in lisp . lisp_get_all_addresses ( ) :
i1IIii1iiIi += "{} or " . format ( III1Iiii1I11 )
oooo0OOo += "{} or " . format ( III1Iiii1I11 )
if 72 - 72: O0 / ooOoO0o + OoooooooOO * iII111i
i1IIii1iiIi = i1IIii1iiIi [ 0 : - 4 ]
i1IIii1iiIi += ") and ((udp dst port 4341 or 8472 or 4789)... | |
# -*- coding: utf-8 -*-
# Created by makepy.py version 0.5.00
# By python version 2.6.6 |EPD 6.3-2 (32-bit)| (r266:84292, Sep 20 2010, 11:26:16) [MSC v.1500 32 bit (Intel)]
# From type library 'TTankInterfaces.ocx'
# On Thu Dec 02 21:00:50 2010
"""TTankInterfaces"""
makepy_version = '0.5.00'
python_version = 0x20606f0
... | |
<gh_stars>10-100
# coding=utf-8
"""
Module for low level OSM file retrieval.
:copyright: (c) 2013 by <NAME>
:license: GPLv3, see LICENSE for more details.
"""
import hashlib
import time
import os
import re
import sys
import datetime
from subprocess import call
from shutil import copyfile
from reporter.utilities impo... | |
<reponame>maulikjs/hue
from __future__ import absolute_import, unicode_literals
import socket
import sys
from collections import defaultdict
from datetime import datetime, timedelta
import pytest
from case import Mock, call, patch
from kombu import pidbox
from kombu.utils.uuid import uuid
from celery.five import Que... | |
<filename>main_pba.py<gh_stars>0
import pba
from datetime import datetime
from dateutil.relativedelta import relativedelta
import os
import matplotlib.pyplot as plt
import math
import pba
import numpy as np
#from pbox import pnt
#from pbox import rng
from math import pi
from vf_overview import truncate
from vf_overv... | |
name = "com_google_cloud_go_firestore",
importpath = "cloud.google.com/go/firestore",
sum = "h1:9x7Bx0A9R5/M9jibeJeZWqjeVEIxYW9fZYqB9a70/bY=",
version = "v1.1.0",
)
go_repository(
name = "com_google_cloud_go_pubsub",
importpath = "cloud.google.com/go/pubsub",
sum = "h1:ukjixP1wl0LpnZ6LWtZJ0mX5tBmjp1f8Sqer8Z2OMU... | |
between normalized log ratios of pairs of genes predicted to be
in the same operon per experiment
"adjcor" (float): Correlation between normalized log ratios of pairs of adjacent genes per experiment
"gccor" (float): Correlation between normalized log ratios of genes and their GC percentage per experiment
"maxFit"... | |
<filename>code/data.py
"""
This file defines the Hierarchy of Graph Tree class and PartNet data loader.
"""
import sys
import os
import json
import torch
import numpy as np
from torch.utils import data
from pyquaternion import Quaternion
from sklearn.decomposition import PCA
from collections import namedt... | |
function, in seconds.
:type DestinationConfig: dict
:param DestinationConfig: (Streams) An Amazon SQS queue or Amazon SNS topic destination for discarded records.\n\nOnSuccess (dict) --The destination configuration for successful invocations.\n\nDestination (string) --The Amazon Resource Name (ARN) of the destinatio... | |
self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'ServiceRefTargetList') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class ServiceRefV... | |
<gh_stars>0
import numpy as np
import tensorflow as tf
from tensorflow.keras import regularizers
from tensorflow.keras.layers import Input
from tensorflow.keras.models import Model
from tensorflow.keras.optimizers import Adam, SGD
from tensorflow.keras.layers import Conv2D, MaxPool2D, AveragePooling2D, Flatten, Dense, ... | |
"""
Visual demonstrations of anarchy system.
viz.py
"""
import random
import os
import PIL.Image
from . import rng, cohort
MAX_RANDOM = rng.ID_MASK
def builtin_next():
"""
Returns random numbers using built-in random.
"""
return random.randint(0, MAX_RANDOM)
def demo_prng():
"""
Creates images that demon... | |
<filename>iso-langs/iso639_3.py
# ISO 639-3 codes retrieved from https://iso639-3.sil.org/code_tables/download_tables
#
# Prepared as python module by <NAME> for mtdata https://github.com/thammegowda/mtdata
data='''aaa Ghotuo
aab Alumu-Tesu
aac Ari
aad Amal
aae Arbëreshë Albanian
aaf Aranadan
aag Ambrak
aah Ab... | |
#引入套件
import tkinter as tk
import pandas as pd
#建立主視窗和框架
window = tk.Tk() #創建主視窗
top_frame = tk.Frame(window) #創建Frame
window.title("SLOT RTP計算機") #顯示標題
window.geometry('440x1000') #設定視窗大小
def dataimport(): #設定函數 : 取得輸入的名稱
result1_str.set("{}".format(ICON1_entry0.get()))
result2_str.set("{}".format(ICON2_entry0.g... | |
<reponame>dasxran/seleniumMachineLearning
MV_FLAG = 4096 # Multi-value flag
PT_UNSPECIFIED = 0
PT_NULL = 1
PT_I2 = 2
PT_LONG = 3
PT_R4 = 4
PT_DOUBLE = 5
PT_CURRENCY = 6
PT_APPTIME = 7
PT_ERROR = 10
PT_BOOLEAN = 11
PT_OBJECT = 13
PT_I8 = 20
PT_STRING8 = 30
PT_UNICODE = 31
PT_SYSTIME = 64
PT_CLSID = 72
PT_BINARY = 258
... | |
<filename>src/installer/src/tortuga/resourceAdapter/resourceAdapter.py
# Copyright 2008-2018 Univa 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/licens... | |
from datetime import date
from unittest.mock import patch, call
from django.contrib.auth.models import User
from django.core import mail
from django.core.exceptions import ValidationError
from django.urls import reverse
from django.test import TestCase, Client, override_settings, RequestFactory
from solenoid.people.m... | |
0:
raise click.UsageError('Parameter --policy-assignment-id cannot be whitespace or empty string')
kwargs = {}
client = cli_util.build_client('blockstorage', ctx)
result = client.get_volume_backup_policy_assignment(
policy_assignment_id=policy_assignment_id,
**kwargs
)
cli_util.render_response(result, ctx)
@... | |
<gh_stars>1-10
import os
import sys
import warnings
import builtins
import numpy as np
import time
import torch
import utils
from tqdm import tqdm
import glob
import random
import logging
import argparse
import torch.nn as nn
import genotypes as genotypes
import torch.utils
from torch.utils.tensorboard import SummaryWr... | |
# -*- coding: utf-8 -*-
#
# Copyright 2018 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/
#
# or i... | |
event = CEventExit()
self.m_event_dispatcher.fire_event(event)
def send_events(self, event):
pass
def set_request_go_timer(self, timeout):
"""
Set timeout thread to release debugger from waiting for a client
to attach.
"""
self.cancel_request_go_timer()
if timeout is None:
return
_timeout = max(1.... | |
# -*- coding: utf-8 -*-
##
# Copyright 2018 Telefonica S.A.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | |
s3.dataTable.js and the values used.
config = Storage()
config.id = id
config.lengthMenu = attr.get("dt_lengthMenu",
[[ 25, 50, -1], [ 25, 50, str(current.T("All"))]]
)
config.displayLength = attr.get("dt_displayLength", s3.ROWSPERPAGE)
config.sDom = attr.get("dt_sDom", 'fril<"dataTable_table"t>pi')
config.pagi... | |
return X.asformat("csr")
return X
def kronpow(a, p, **kron_opts):
"""Returns `a` tensored with itself `p` times
Equivalent to ``reduce(lambda x, y: x & y, [a] * p)``.
Parameters
----------
a : dense or sparse vector or operator
Object to tensor power.
p : int
Tensor power.
kron_opts :
Supplied to :func:... | |
10,
(39, '<'): 10,
(39, '='): 10,
(39, '>'): 10,
(39, '?'): 10,
(39, '@'): 10,
(39, 'A'): 10,
(39, 'B'): 10,
(39, 'C'): 10,
(39, 'D'): 10,
(39, 'E'): 10,
(39, 'F'): 10,
(39, 'G'): 10,
(39, 'H'): 10,
(39, 'I'): 10,
(39, 'J'): 10,
(39, 'K'): 10,
(39, 'L'): 10,
(39, 'M'): 10,
(39, 'N'): 10,
(39, 'O'): ... | |
<filename>localstack/aws/api/ssm/__init__.py
import sys
from datetime import datetime
from typing import Dict, List, Optional
if sys.version_info >= (3, 8):
from typing import TypedDict
else:
from typing_extensions import TypedDict
from localstack.aws.api import RequestContext, ServiceException, ServiceRequest, han... | |
by Viewport.
# Bounding Box.
self.add_argument('-B', '--bbox', dest='viewport_bbox_in',
action='store', default=None,
help='the bounding box, or viewport, for a read query')
# Exclusion Box.
self.add_argument('-E', '--bbex', dest='viewport_bbox_ex',
action='store', default=None,
help='the exclusionary bounding... | |
<gh_stars>1-10
from datetime import datetime
from contextlib import contextmanager
import os
import os.path
import re
import selectors
import shlex
import subprocess
import sys
import textwrap
import types
import pytest
import warnings
BINDIR = os.path.join(os.path.abspath(os.environ['PWD']))
class HlwmBridge:
H... | |
firstvalid, lastvalid, votekey, selectionkey
):
assert context.response["accounts"][0]["status"] == "Online"
assert context.response["accounts"][0]["address"] == address
assert context.response["accounts"][0]["participation"][
"vote-key-dilution"
] == int(keydilution)
assert context.response["accounts"][0]["parti... | |
<gh_stars>0
''' Common utilities for transient bubble calculation.
'''
from numpy import (
append, arange, around, array, atleast_2d, concatenate, copy,
diag, hstack, isnan, ix_,
ones, prod, shape, sum, unique, where, zeros, exp, log, repeat)
from numpy import int64 as my_int
from scipy.sparse import csc_matrix as s... | |
from stanza.models.pos.hunspeller.pos import Verb, Noun, Pronoun, Adjective, Numeral, Adverb, numeralise
# Decline numerals and convert other pos features into XPOS and UFeats formats
def decline_num(num, rqrd_infl, rqrd_num=None, rqrd_gen=None):
"""Decline numerals
:param num: Numeral object
:param rqrd_infl: th... | |
3188, 3189, 260, 2574, 3293, 2695, 3293,
3294, 2805, 3293, 3294, 3295, 2904, 3293, 3294,
3295, 3296, 2992, 3293, 3294, 3295, 3296, 3297,
3069, 3293, 3294, 3295, 3296, 3297, 3298, 3135,
3293, 3294, 3295, 3296, 3297, 3298, 3299, 3190,
3227, 3228, 3229, 3230, 3231, 3232, 3233, 3234,
272, 2575, 3293, 2696, 3293, 3294... | |
#! /usr/bin/env python
'''
tensorflow==2.5.0+
python3 openvino2tensorflow.py \
--model_path openvino/448x448/FP32/Resnet34_3inputs_448x448_20200609.xml \
--output_saved_model \
--output_pb \
--output_weight_quant_tflite \
--output_float16_quant_tflite \
--output_no_quant_float32_tflite
python3 openvino2tensorflow.py ... | |
GetNAFltI(self, *args):
"""
GetNAFltI(TNEANet self, TStr attr, int const & NId) -> TNEANet::TAFltI
Parameters:
attr: TStr const &
NId: int const &
"""
return _snap.TNEANet_GetNAFltI(self, *args)
def AttrNameNI(self, *args):
"""
AttrNameNI(TNEANet self, TInt NId, TStrV Names)
Parameters:
NId: TInt const ... | |
# Eliminando colunas adicionais
X = X.drop(['ae', 'aggreg_dict'], axis=1)
return X
# Definindo transformador para RMS Energy
class RMSEnergy(BaseEstimator, TransformerMixin):
"""
Classe responsável por extrair a raíz da energia média quadrática de sinais de áudio
considerando agregados estatísticos pré defin... | |
"""
SLURM batch system interface module.
"""
# TODO: Check if there are any bugfixes to the bash SLURM back-end scripts which has not ported to this SLURM python module.
from __future__ import absolute_import
import os, sys, time, re
import arc
from .common.cancel import cancel
from .common.config import Config, con... | |
noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_object_device_ip_port_port_get(self, ip, port, **kwargs): # noqa: E501
"""a... | |
self.transaction_visibility = transaction_visibility
self.trust_proxy = trust_proxy
self.trust_unknown_certs = trust_unknown_certs
self.versions = versions
@classmethod
def from_dict(cls, _dict: Dict) -> 'GetPublicSettingsResponse':
"""Initialize a GetPublicSettingsResponse object from a json dictionary."""
arg... | |
#!/usr/bin/env python
import collections
# import itertools
import numpy as np
# from sklearn import linear_model as linear # for VAR
# from .utils import sliding_window as window
# from .utils.distance import kmeans, dists_sq
# from .utils import distance as dist
# from python import compress
# ================... | |
into json.
subtask_status = {subtask_id: (SubtaskStatus.create(subtask_id)).to_dict() for subtask_id in subtask_id_list}
subtask_dict = {
'total': num_subtasks,
'succeeded': 0,
'failed': 0,
'status': subtask_status
}
entry.subtasks = json.dumps(subtask_dict)
# and save the entry immediately, before any subtas... | |
if brokerObj.delete_queue(queue):
if not silent:
print("Deleted queue: {}".format(queue))
deleted_queues += 1
if not silent and deleted_queues>1:
print('Deleted {} queues'.format(deleted_queues))
def publish(args=None):
"""
Handle the command-line sub-command publish
Usage:
ddmq publish [options] <root> ... | |
%(self.minFFWidth))
print("")
def ClassifyInsts(self):
self.pinNonFFInstDict = {}
self.pinFFInstDict = {}
self.numSkipInsts = 0
self.numFFInsts = 0
allFixedStdInsts = [l for l in self.fixedInsts if self.IsMacro(l.height) == False]
self.allStdInsts = self.movableStdInsts + allFixedStdInsts
# retrive mi... | |
<reponame>emilysturdivant/BI-geomorph-extraction
# -*- coding: utf-8 -*-
#! python3
'''
Barrier Island Geomorphology Extraction along transects (BI-geomorph-extraction module)
Author: <NAME>
email: <EMAIL>;
These functions require arcpy.
Designed to be imported by either prepper.ipynb or extractor.py.
'''
import time
... | |
<filename>TranskribusDU/gcn/DU_gcn_task.py<gh_stars>10-100
# -*- coding: utf-8 -*-
import numpy as np
import tensorflow as tf
import pickle
import os.path
import random
import gcn.gcn_models as gcn_models
from gcn.gcn_datasets import GCNDataset
import time
FLAGS = tf.app.flags.FLAGS
tf.app.flags.DEFINE_string('tra... |
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