input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
########################################
#
# These functions edit sessions
#
########################################
from datetime import date, timedelta, datetime
from skipole import FailPage, GoTo, ValidateError, ServerError
from .. import sun, database_ops
def fill_edit_sessions(skicall):
"""Populates the ed... | |
'''
Created on Jan 11, 2012
@author: <NAME>, 2nd Look Consulting
http://www.2ndlookconsulting.com/
Copyright (c) 2013, <NAME>, Argonne National Laboratory
All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following con... | |
string_array.num_total_chars,
builder.extract_value(ptr, 0), length, kind, is_ascii, ind
])
return context.get_dummy_value()
return types.void(str_arr_t, ind_t, ptr_t, len_t), codegen
def lower_is_na(context, builder, bull_bitmap, ind):
fnty = lir.FunctionType(lir.IntType(1),
[lir.IntType(8).as_pointer(),
lir... | |
+ m.b431 <= 1)
m.c4622 = Constraint(expr= m.b326 - m.b342 + m.b432 <= 1)
m.c4623 = Constraint(expr= m.b327 - m.b328 + m.b433 <= 1)
m.c4624 = Constraint(expr= m.b327 - m.b329 + m.b434 <= 1)
m.c4625 = Constraint(expr= m.b327 - m.b330 + m.b435 <= 1)
m.c4626 = Constraint(expr= m.b327 - m.b331 + m.b436 <= 1)
m.c4627 =... | |
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 25 15:52:05 2017
@author: Xian_Work
"""
param_path="../Parameters/params_ui.json"
execfile("prelim.py")
from model_plotting import norm , compute_dist, gen_model_target, sim_plot, make_base_plot, mk_mix_agent, gen_evolve_share_series
#For writing output
import xlsxwrit... | |
client extensions to add to the Order. Do not set,
modify, or delete clientExtensions if your account is associated with MT4.
take_profit_on_fill: :class:`~async_v20.TakeProfitDetails`
TakeProfitDetails specifies the details of a Take Profit Order to be created on behalf of
a client. This may happen when an Order
... | |
refreshing the WSDL file terminated with error message')
self.log('Changing wsdl to wsdl which can\'t be validated')
warning, error, console = edit_wsdl(self, wsdl_error_url)
expected_error_msg = WSDL_EDIT_ERROR_VALIDATION_FAILED.format(wsdl_error_url)
self.log('SERVICE_10 3a.1 System displays the error message "{0... | |
to solve i think, 152 has high occlusion and 4 objects
skip_list = ['kitchen_4/000006.left.jpg', 'kitchen_4/000014.left.jpg', 'kitchen_4/000169.left.jpg', 'kitchen_4/000177.left.jpg']
# 120 has some bug
# for img_i in range(0,100):
# for img_i in range(100,150):
# for img_i in range(155,177):
#for img_i in list... | |
# Copyright 2014 Cisco Systems, Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law ... | |
<filename>layerserver/api/dblayer_content.py
import logging
import mimetypes
import os
import warnings
from functools import reduce
from operator import __or__ as OR
from django.conf import settings
from django.contrib.gis.gdal import CoordTransform, SpatialReference
from django.contrib.gis.geos import GEOSGeometry, ... | |
= [event['daily_perf']['capital_used']
for event in results]
self.assertEqual(cash_flows, [-1000, 0, 1000, 0, 0, 0])
cumulative_cash_flows = \
[event['cumulative_perf']['capital_used'] for event in results]
self.assertEqual(cumulative_cash_flows, [-1000, -1000, 0, 0, 0, 0])
cash_pos = \
[event['cumulative_perf']... | |
1 to n-2, with point 2 to n-1 as other vertex of triangle
# this could definitely be written more nicely
b_point = vertices[1]
root_b_dist = haversine_distance(root_point, b_point)
for i in np.arange(1, n - 1):
a_point = b_point
b_point = vertices[i + 1]
root_a_dist = root_b_dist
root_b_dist = haversine_distanc... | |
#!/usr/bin/env python3
# smugsync v2.3
# to keep my sanity since local directories can be both folders and galleries in SmugMug
# I use the following terminology in the code:
# local filesystem directory intended to be a 'Folder' in SmugMug is called a directory
# local filesystem directory intended to be a 'Gallery'... | |
from django.shortcuts import render
from django.contrib import messages
from django.shortcuts import render_to_response, redirect
from django.contrib import auth
from django.contrib.auth.decorators import login_required
from django.http import JsonResponse, HttpResponse
from django.utils import timezone
from django.cor... | |
<reponame>ZihanWangKi/scratch
import collections
import os
import unicodedata
from transformers.tokenization_utils import PreTrainedTokenizer, _is_control, _is_punctuation, _is_whitespace
def load_vocab(vocab_file):
"""Loads a vocabulary file into a dictionary."""
vocab = collections.OrderedDict()
with open(vocab_... | |
cannot really do much to recover, because cluster is not in usable state anyway
metadata = flink.get("metadata")
labels = metadata.get("labels")
config_sha = labels.get(paasta_prefixed("config_sha"))
if config_sha is None:
raise ValueError(f"expected config sha on Flink, but received {metadata}")
if config_sha.st... | |
<filename>environment.py
from tkinter import *
from tkinter import ttk
import time
import numpy as np
import copy
import random
from mujoco_py import load_model_from_path, MjSim, MjViewer
from gym.envs.robotics import rotations, utils
from gym.utils import seeding
def seed(self, seed=None):
self.np_random, seed = see... | |
<reponame>turicas/nltk
# Natural Language Toolkit: Concordance Application
#
# Copyright (C) 2001-2013 NLTK Project
# Author: <NAME> <<EMAIL>>
# URL: <http://www.nltk.org/>
# For license information, see LICENSE.TXT
from __future__ import print_function
import re
import threading
import tkFont
from Tkinter import (Tk,... | |
= reward_network.estimate_temporal_difference(mu1[t1_i].unsqueeze(0), mu1[t2_i].unsqueeze(0))
est_dt_j = reward_network.estimate_temporal_difference(mu2[t1_j].unsqueeze(0), mu2[t2_j].unsqueeze(0))
real_dt_i = (times_i[t2_i] - times_i[t1_i])/100.0
real_dt_j = (times_j[t2_j] - times_j[t1_j])/100.0
actions_1 = reward... | |
'sections in model': sec_in_model,
'recorded sections': recorded_sections,
'spacings': spacing, 'max spacing': max(spacing), 'min spacing': min(spacing)}
line_color_coding, puls_method_map, puls_sp_or_up_map = \
{}, {None: 0, 'buckling': 0.5, 'ultimate': 1}, {None:0, 'SP': 0.5, 'UP': 1}
cmap_sections = plt.get_cma... | |
defined one. Note that this may happen
# on a first poll after server side config for a bot has changed. The bot
# doesn't know about new server-assigned dimensions yet in this case. Also
# don't report ['default'], bot sends it in the handshake before it knows
# anything at all.
for dim_key, from_cfg in bot_group... | |
if X_embedding is None:
if vkey == "velocity_S":
X_embedding = adata.obsm["X_" + basis]
else:
adata = reduceDimension(adata, layer=layer, reduction_method=basis)
X_embedding = adata.obsm[layer + "_" + basis]
if X.shape[0] != X_embedding.shape[0] and X.shape[1] > X_embedding.shape[1]:
raise Exception(f"X and X_e... | |
" to method proxy_get_namespaced_node_19" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'name' is set
if ('name' not in params) or (params['name'] is None):
raise ValueError("Missing the required parameter `name` when calling `proxy_get_namespaced_node_19`")
# verify the require... | |
<gh_stars>10-100
import argparse
import glob
import logging
import os
import subprocess
from collections import defaultdict
from datetime import datetime
import pandas as pd
from tqdm import tqdm
from nanocompare.global_config import set_log_debug_level, pic_base_dir, logger
run_log_dir = '/projects/li-lab/Nanopore_... | |
<reponame>artbees/python-aiplatform
# -*- coding: utf-8 -*-
# Copyright 2020 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
#
# Unl... | |
# -*- coding: utf-8 -*-
"""Simple functions and lookup tables for nucleic acid and amino acid sequences.
"""
import logging
import re
from string import ascii_lowercase
_logger = logging.getLogger(__name__)
aa3_to_aa1_lut = {
"Ala": "A",
"Arg": "R",
"Asn": "N",
"Asp": "D",
"Cys": "C",
"Gln": "Q",
"Glu": "E",... | |
<filename>mcos/optimizer.py
from __future__ import division
from abc import ABC, abstractmethod
from typing import Dict, List
import numpy as np
import pandas as pd
import scipy.cluster.hierarchy as sch
from numpy.linalg import inv, pinv
#Compute the (multiplicative) inverse of a matrix.
from pypfopt.efficient_front... | |
Node.TEXT_NODE) :
data['fromPeriod']=node2.data
for node1 in xmlTree.getElementsByTagName("error") :
for node2 in node1.childNodes:
if(node2.nodeType == Node.TEXT_NODE) :
data['error']=node2.data
for node1 in xmlTree.getElementsByTagName("status") :
for node2 in node1.childNodes:
if(node2.nodeType == Node.TEXT_... | |
<gh_stars>10-100
# Advanced Multi-Mission Operations System (AMMOS) Instrument Toolkit (AIT)
# Bespoke Link to Instruments and Small Satellites (BLISS)
#
# Copyright 2018, by the California Institute of Technology. ALL RIGHTS
# RESERVED. United States Government Sponsorship acknowledged. Any
# commercial use must be ne... | |
<filename>util_write_cap.py
#! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
Utilities to prepare files for CAP
For reference see versions prior to Aug 25, 2016 for:
getwaveform_iris.py
getwaveform_llnl.py
20160825 cralvizuri <<EMAIL>>
"""
import obspy
from obspy.io.sac import SACTrace
import obspy.signal.rotate ... | |
import argparse
import collections
import copy
import json
import os
import pprint
import re
from operator import itemgetter
from warnings import warn
import pandas as pd
import plotly
import plotly.graph_objs as go
from docopt import docopt
from matplotlib import cm
from matplotlib.colors import rgb2hex
from munkres ... | |
<gh_stars>0
# Omid55
# Test module for group dynamics logs library.
from __future__ import division, print_function, absolute_import, unicode_literals
import os
import unittest
import numpy as np
import pandas as pd
from pandas import testing as pd_testing
from numpy import testing as np_testing
from parameterized i... | |
DialogResult """
pass
def ShowModal(self):
""" ShowModal(self: LayerTransparencyDialog) -> Nullable[bool] """
pass
Percent = property(lambda self: object(), lambda self, v: None, lambda self: None) # default
"""Get: Percent(self: LayerTransparencyDialog) -> UInt32
Set: Percent(self: LayerTransparen... | |
<reponame>nitram509/nitram-micro-font<gh_stars>1-10
#!/usr/bin/python
# -*- coding: utf-8 -*-
nitram_micro_mono_CP437 = [
0, 0, 0, 0, 0,
10, 0, 4, 17, 14,
10, 0, 0, 14, 17,
27, 31, 31, 14, 4,
0, 0, 0, 0, 0,
0, 4, 10, 4, 14,
4, 14, 14, 4, 14,
0, 14, 14, 14, 0,
0, 0, 0, 0, 0,
0, 4, 10, 4, 0,
0, 0, 0, 0, 0,
3... | |
import codecs
import errno
import fcntl
import io
import os
import pty
import resource
import signal
import struct
import sys
import termios
import time
try:
import builtins # Python 3
except ImportError:
import __builtin__ as builtins # Python 2
# Constants
from pty import (STDIN_FILENO, CHILD)
from .util import ... | |
<reponame>bb-froggy/tpm2-pkcs11
# SPDX-License-Identifier: BSD-2-Clause
# python stdlib dependencies
import binascii
import io
import os
import struct
import sys
import yaml
from tempfile import mkstemp
# local imports
from .command import Command
from .command import commandlet
from .db import Db
from .objects impor... | |
"""Compilation of functions for analyzing maizsim output."""
import os
import collections
import pandas as pd
import numpy as np
from numpy import genfromtxt
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LinearRegression
from sklearn.metrics im... | |
<filename>Lib/test/test_xml_etree.py
# IMPORTANT: the same tests are run from "test_xml_etree_c" in order
# to ensure consistency between the C implementation and the Python
# implementation.
#
# For this purpose, the module-level "ET" symbol is temporarily
# monkey-patched when running the "test_xml_etree_c" test suit... | |
<filename>models.py
import torch
from torch import nn
from torch.nn import CrossEntropyLoss
import torch.nn.functional as F
import math
import os
from pytorch_pretrained_bert.file_utils import PYTORCH_PRETRAINED_BERT_CACHE
from pytorch_pretrained_bert.modeling import BertConfig, WEIGHTS_NAME, CONFIG_NAME, BertPreTraine... | |
'''
Created on Apr 15, 2014
@author: <NAME>
'''
import argparse
import cv2
import numpy as np
import os
from obj_detect import SegmentedObject
from obj_baxter import BaxterObject
class BaxterExperiment(BaxterObject):
'''
A BaxterExperiment is a BaxterObject with methods to facilitate the
use a ... | |
import numpy as np
import math
def l2_regularization(W, reg_strength):
'''
Computes L2 regularization loss on weights and its gradient
Arguments:
W, np array - weights
reg_strength - float value
Returns:
loss, single value - l2 regularization loss
gradient, np.array same shape as W - gradient of weight by l2... | |
import numpy as np
from cdlib.evaluation.internal import onmi
from cdlib.evaluation.internal.omega import Omega
from nf1 import NF1
from collections import namedtuple, defaultdict
__all__ = [
"MatchingResult",
"normalized_mutual_information",
"overlapping_normalized_mutual_information_LFK",
"overlapping_normalized... | |
<gh_stars>0
import time
import numpy as np
import numpy.random as rd
import gym
import torch
import torch.nn as nn
class EvaluateRewardSV: # SV: Simplify Version. Only for tutorial.
def __init__(self, env):
self.env = env
self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
def get_eva_rew... | |
"""
Notebook management module.
"""
import os
import markdown
from copy import deepcopy
from PyQt5.QtCore import Qt
from PyQt5 import QtCore, QtGui, QtWidgets
"""
from PyQt4.QtCore import Qt, QDir, QFile, QSettings, QSize
from PyQt4.QtGui import (QAbstractItemDelegate, QAbstractItemView, QColor, QDialog, QDialogButto... | |
local_var_params and
len(local_var_params['namespace']) > 1024):
raise ValueError("Invalid value for parameter `namespace` when calling `namespaces_namespace_jobs_get`, length must be less than or equal to `1024`") # noqa: E501
collection_formats = {}
path_params = {}
if 'namespace' in local_var_params:
path_par... | |
# -*- coding: utf-8 -*-
# Copyright (c) 2009-2014, <NAME>
#
# This module is part of oyProjectManager and is released under the BSD 2
# License: http://www.opensource.org/licenses/BSD-2-Clause
import os
import logging
logger = logging.getLogger(__name__)
class Config(object):
"""Config abstraction
Idea is coming... | |
#This file is part of ElectricEye.
#SPDX-License-Identifier: Apache-2.0
#Licensed to the Apache Software Foundation (ASF) under one
#or more contributor license agreements. See the NOTICE file
#distributed with this work for additional information
#regarding copyright ownership. The ASF licenses this file
#to you unde... | |
#!/usr/bin/python
# todo: preview doesnt work
# TODO: new types: pixel (rgba)
# todo: legacy? e.g. compute image of points, computation illustration etc.
# todo: doesn't detect wrong number of args
# todo: set color
# todo: filled julia with the number of it
# todo: implement missing rect and arg and line complex
# to... | |
################################
########### Imports ############
################################
import sys
import traceback
import numpy as np
import scipy.special as ss
import scipy.optimize as so
import scipy.integrate as si
import scipy.interpolate as inter
try:
import h5py as h5
h5py = 1
except ModuleNotFoundE... | |
# -*- coding: utf-8 -*-
# Copyright 2020 Red Hat
# GNU General Public License v3.0+
# (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
"""
The Bgp_global parser templates file. This contains
a list of parser definitions an... | |
<filename>visnav/dataset-gen.py<gh_stars>1-10
import argparse
import csv
import sys
import math
import re
import cv2
import numpy as np
import quaternion
from tqdm import tqdm
from visnav.algo import tools
from visnav.algo.keypoint import KeypointAlgo
from visnav.algo.tools import PositioningException
f... | |
#!/usr/local/bin/python
# -*- coding: utf-8 -*-
from IPython import embed
from multiprocessing import Pool, cpu_count
#import mega_nn
import numpy as np
import scipy as sc
import scipy.stats as stats
import pandas as pd
from itertools import product, chain
import pickle
import os
import sys
import time
networks_path = ... | |
<filename>miner/strategies/kubernetes/dynamic/k8sDynamicMiner.py
from miner.generic.dynamic.dynamicMiner import DynamicMiner
from topology.node import Node, Direction
from topology.communication import Communication
from topology.communicationFactory import CommunicationFactory
from topology.concreteCommunicationFactor... | |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
# -*- mode: Python -*-
'''
LJ Laser Server v0.8.2
Inspiration for a future WebUI icon menu :
https://codepen.io/AlbertFeynman/pen/mjXeMV
Laser server + webUI servers (ws + OSC)
- get point list to draw : /pl/lasernumber
- for report /lstt/lasernumber /lack/lasernumber /cap/... | |
def enabled(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "enabled")
@enabled.setter
def enabled(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "enabled", value)
@property
@pulumi.getter(name="externalTrafficPolicy")
def external_traffic_policy(self) -> Optional[pulumi.Input[str]... | |
<reponame>sparkslabs/kamaelia_orig<gh_stars>10-100
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2010 British Broadcasting Corporation and Kamaelia Contributors(1)
#
# (1) Kamaelia Contributors are listed in the AUTHORS file and at
# http://www.kamaelia.org/AUTHORS - please extend this file,
# not this no... | |
<gh_stars>1-10
import math
import os
import pickle
import typing
from concurrent.futures.thread import ThreadPoolExecutor
import torch
from sklearn import mixture
from sklearn.exceptions import NotFittedError
from torch import nn as nn
from torch.nn import functional as F
from config import WAVENET_LAYERS, WAVENET_BL... | |
# ----------------------------------------------------------------------------
# CLASSES: nightly
#
# Test Case: atts_assign.py
#
# Tests: Behavior of assignment for attribute objects. Ensures good cases
# succeed and bad cases fail with specific python exceptions. Tests variety
# of types present in members of VisIt a... | |
<filename>test/unit_tests/braket/aws/test_aws_quantum_job.py<gh_stars>0
# Copyright 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
#
# ht... | |
<gh_stars>0
# -*- coding: utf-8 -*-
#---------------------------------------------------------------------------
# Copyright 2020 VMware, Inc. All rights reserved.
# AUTO GENERATED FILE -- DO NOT MODIFY!
#
# vAPI stub file for package com.vmware.nsx_policy.infra.tier_0s.locale_services.
#------------------------------... | |
from __future__ import absolute_import, unicode_literals, print_function, division
import datetime
import decimal
import json
import logging
import re
from dateutil.parser import parse as date_parse
from django.contrib.gis.geos import Point
from future.utils import raise_with_traceback
from tableschema import Field a... | |
import logging
import sys
import pandas as pd
import pyprind
import six
import warnings
from joblib import Parallel, delayed
from collections import deque, OrderedDict
import heapq
from itertools import chain
import py_entitymatching.catalog.catalog_manager as cm
from py_entitymatching.blocker.blocker import Blocker
... | |
{POS: ADP},
"<first-cjt>|PRP|@<OA": {POS: ADP},
"<first-cjt>|PRP|@<OC": {POS: ADP},
"<first-cjt>|PRP|@<PIV": {POS: ADP},
"<first-cjt>|PRP|@<PRED": {POS: ADP},
"<first-cjt>|PRP|@<SA": {POS: ADP},
"<first-cjt>|PRP|@<SC": {POS: ADP},
"<first-cjt>|PRP|@A<": {POS: ADP},
"<first-cjt>|PRP|@A<ARG": {POS: ADP},
... | |
<gh_stars>1-10
from collections import deque
import pickle
class EpicTree:
"""Epic Tree module"""
# Constructor
def __init__(self, filename=''):
self.tree = {}
self.materialised_paths = []
self.garbage = []
# Load data file if provided
if filename != '':
self.tree = pickle.load(open(filename, "rb"))
# reg... | |
# Saves distribution and dependency for particular dimension
distributions.append(distribution)
dependencies.append(dependency)
# Add fit inspection data for current dimension
self.multiple_fit_inspection_data.append(fit_inspection_data)
# Save the used number of intervals
for dep_index, dep in enumerate(depend... | |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use... | |
# Autogenerated file. ANY CHANGES WILL BE OVERWRITTEN
from to_python.core.types import FunctionType, \
FunctionArgument, \
FunctionArgumentValues, \
FunctionReturnTypes, \
FunctionSignature, \
FunctionDoc, \
FunctionOOP, \
FunctionOOPField, \
CompoundOOPData, \
FunctionData, \
CompoundFunctionData
DUMP_PARTI... | |
<gh_stars>10-100
"""
This module uses the h5py (HDF5) package to read and write numpy
arrays to disk.
See the h5py and HDF5 documentation for further info on the details of
this approach.
"""
# pylint: disable=no-member
import h5py as h5
import numpy as np
from . import base
from ..data import base_legacy as db
from... | |
<filename>galois/_fields/_linalg.py<gh_stars>0
"""
A module that contains linear algebra routines over Galois fields.
"""
import numpy as np
from ._dtypes import DTYPES
def _lapack_linalg(a, b, function, out=None, n_sum=None):
"""
In prime fields GF(p), it's much more efficient to use LAPACK/BLAS implementations o... | |
<filename>mars/dataframe/base/cut.py
# Copyright 1999-2020 Alibaba Group Holding 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... | |
np.zeros(im_size, dtype=np.uint8)
for i in range(nb_patterns):
label = (i + 1)
if len(im_size) == 2:
atlas = draw_rand_ellipse(atlas, color=label)
elif len(im_size) == 3:
atlas = draw_rand_ellipsoid(atlas, clr=label)
# logging.debug(type(atlas))
atlas_def = image_deform_elastic(atlas)
# logging.debug(np.unique... | |
0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.0293014,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic'... | |
<gh_stars>1-10
# pylint: disable-msg=E1101,W0612
import operator
import nose # noqa
from numpy import nan
import numpy as np
import pandas as pd
from pandas import Series, DataFrame, bdate_range, Panel
from pandas.tseries.index import DatetimeIndex
import pandas.core.datetools as datetools
import pandas.util.testing... | |
# Copyright (c) 2021, DjaoDjin inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and the ... | |
import os, re, sys, shutil, glob, time, csv, xlsxwriter
import argparse as ap
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
matplotlib.style.use('ggplot')
import msvcrt as m
version = "VNX Onions for MS Windows 0.1"
# col_filter = [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14... | |
from datetime import datetime
from typing import List, Dict, Union
import pytest
from dataclasses import field
from krake.data.config import HooksConfiguration
from krake.data.core import Metadata, ListMetadata
from krake.data.kubernetes import ClusterList
from marshmallow import ValidationError
from krake.data.serial... | |
# encoding: utf-8
import os
import pytest
from ...config import Configuration
from ...testing import DummyHTTPClient
from ...model import create
from ...model.datasource import DataSource
from ...model.edition import Edition
from ...model.identifier import Identifier
from ...model.licensing import RightsStatus
from ..... | |
<reponame>usermicrodevices/pywingui
## Copyright (c) 2003 <NAME>
## Permission is hereby granted, free of charge, to any person obtaining
## a copy of this software and associated documentation files (the
## "Software"), to deal in the Software without restriction, including
## without limitation the rights to use, ... | |
== int(abs(y)) and abs(y) <= 512:
pow2 = [xsym]
pow2_scal = [theano.scalar.get_scalar_type(xsym.dtype)()]
y_to_do = abs(y)
for i in xrange(int(numpy.log2(y_to_do))):
pow2.append(T.sqr(pow2[i]))
pow2_scal.append(theano.scalar.sqr(pow2_scal[i]))
rval1 = None
rval1_scal = None
while y_to_do > 0:
log_to_do = int(... | |
IV'] = sum([c['Minimum Levenshtein Distance'] for c in eval_distance_result if c['Minimum Levenshtein Distance'] == 1 and c['original spelling status'] == 'misspell' and c['OOV/IV'] == 'IV']) / ALL_IV_NEED_CORRECTION
original_dict['Minimum Levenshtein Distance']['Recall for Minimum Levenshtein Distance on Entire Datase... | |
uk_98
+ 31680 * uk_99,
uk_0
+ 50719 * uk_1
+ 2789545 * uk_10
+ 170280 * uk_100
+ 297000 * uk_101
+ 60720 * uk_102
+ 915255 * uk_103
+ 1596375 * uk_104
+ 326370 * uk_105
+ 2784375 * uk_106
+ 569250 * uk_107
+ 116380 * uk_108
+ 10648 * uk_109
+ 1115818 * uk_11
+ 22264 * uk_110
+ 11616 * uk_111
+ 62436 *... | |
import pandas as pd
def get_toy_data_seqclassification():
train_data = {
"sentence1": [
'Amrozi accused his brother , whom he called " the witness " , of deliberately distorting his evidence .',
"Yucaipa owned Dominick 's before selling the chain to Safeway in 1998 for $ 2.5 billion .",
"They had published an ad... | |
fields = ("id","state","alter")
# 所有字段验证
def validate(self, attrs):
try:
del attrs['alter'] # 删除alter字段
except Exception:
pass
return attrs
# 状态字段验证
def validate_state(self, value):
validate_states2(self.instance.state, value)
if not self.instance.state == "使用中":
if ((self.instance.create_us... | |
== subject_tokens:
if forbidden_index is None:
labels[index][label_subject] = 1
for i in range(subject_tokens_len - 1):
labels[index + i + 1][1] = 1
break
elif index < forbidden_index or index >= forbidden_index + len(
object_tokens):
labels[index][label_subject] = 1
for i in range(subject_tokens_len - 1):
la... | |
data_type=(u'R',u'1',u'18'), position=4,
codes=[] ) ),
Element( u'STC05', Properties(desc=u'Monetary Amount', req_sit=u'R', data_type=(u'R',u'1',u'18'), position=5,
codes=[] ) ),
Element( u'STC06', Properties(desc=u'Date', req_sit=u'S', data_type=(u'DT',u'8',u'8'), position=6,
codes=[] ) ),
Element( u'STC07', Pro... | |
1)*ido;
ch[ah] = ref(cc,ac - ido - 1) + tr2 + tr3;
ch[ah + 1] = ref(cc,ac - ido) + ti2 + ti3;
cr2 = ref(cc,ac - ido - 1) + tr11*tr2 + tr12*tr3;
ci2 = ref(cc,ac - ido) + tr11*ti2 + tr12*ti3;
cr3 = ref(cc,ac - ido - 1) + tr12*tr2 + tr11*tr3;
ci3 = ref(cc,ac - ido) + tr12*ti2 + tr11*ti3;
cr5 = isign*(ti11*tr5 + ti1... | |
{}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_conte... | |
to form initial markov state. Stack along last dimension
init_markov_state = torch.cat(self.markov_length * [initial_env_state], dim=-1)
return init_markov_state
def env2markov(self, old_markov_state: torch.tensor, new_env_state: np.ndarray):
# Function to update Markov states by dropping the oldest environmenta... | |
value.
value: The value to locate in the System.Collections.SortedList object. The value can be null.
Returns: true if the System.Collections.SortedList object contains an element with the specified value; otherwise,false.
"""
pass
def CopyTo(self,array,arrayIndex):
"""
CopyTo(self: SortedList,array... | |
x+2, y, s->dots);
# } else {
# PUT0("\n");
# }
# }
#
# #*************************************************************************
# * draw_tabrest - draws rest at position x
# *************************************************************************
# void draw_tabrest (float x, struct SYMBOL *s)
# {
# int flags;
# flo... | |
<reponame>louisVottero/vtool<filename>python/vtool/maya_lib/corrective.py
# Copyright (C) 2022 <NAME> <EMAIL> All rights reserved.
from __future__ import absolute_import
import string
from .. import util
if util.is_in_maya():
import maya.cmds as cmds
from . import anim
from . import core
from . im... | |
from __future__ import annotations
__all__ = (
"ResourceEvent",
"ResourceConflict",
"ResourceNotFound",
"NoCurrentContext",
"TeardownError",
"Context",
"executor",
"context_teardown",
"current_context",
"get_resource",
"get_resources",
"require_resource",
"_Dependency",
"inject",
"resource",
)
import l... | |
path(self, *paths):
"""Convert build path to msvc path and prepend root"""
return self.rootpath + msvc_path_join(*list(map(msvc_path, paths)))
def apath(self, path, *paths):
"""Convert build path to msvc path and prepend root if not absolute"""
### On Unix, os.path.isabs won't do the right thing if "item"
### co... | |
<reponame>paulguerrero/points2surf<gh_stars>100-1000
import os
import os.path
import sys
import torch
import torch.utils.data as data
import numpy as np
import scipy.spatial as spatial
import trimesh
from source.base import mesh_io
from source.base import utils
from source.base import file_utils
from source import sdf... | |
from tkinter import *
from tkinter import Tk, ttk, messagebox, simpledialog
from classes import readFile
from random import randint
objList = []
tournamentList = []
gender = ""
read = readFile.ReadFile()
json = read.readPrize()
ranking = read.readRankingPoints()
tournamentList = read.readTournement()
class App:
def ... | |
kwargs}}
def model_HistGradientBoostingRegressor(self, **kwargs):
### https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html
# TODO not hpo not converging
self.path = "sklearn.ensemble.HistGradientBoostingRegressor"
self.param_space = [
Real(low=0.0001, high=0.9, pr... | |
'QL User\'s Timer count-from date time must remain unchanged')
def test_set_description_valid_q(self):
new_desc_q1 = 'New Timer Description Q1'
desc_changed = self.write_timer_helper_q.set_description(
self.timer_q1_p_id, new_desc_q1)
ref_timestamp = timezone.now().timestamp()
timer_rel = PADSTimer.objects.get(... | |
ccs_seq[i] for i in reads if i is not None]
jobs.append(pool.apply_async(scan_ccs_chunk, (chunk, is_canonical)))
pool.close()
prog = ProgressBar()
finished_cnt = 0
reads_count = defaultdict(int)
short_reads = []
with open('{}/{}.cand_circ.fa'.format(out_dir, prefix), 'w') as out:
for job in jobs:
... | |
matplotlib axes containing a plot of the surface.
Parameters
==========
ax : Axes
An existing matplotlib axes to plot to.
plot_kwargs : dict
Arguments to be passed to Axes.plot().
"""
if ax is None:
fig, ax = plt.subplots(1, 1)
ax.set_ylabel('Vertical Position [m]')
ax.set_xlabel('Horizontal Position [m]'... | |
<reponame>psuchand/capstone-taxi
##############################################
#Helper functions
#Plot profit for given cabbies
##############################################
import pandas as pd
import numpy as np
def plot_profit_for_drivers(drivers):
"""
If cabbies is a list, we plot the profit
(calculated via ... |
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