input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
from django.shortcuts import render, redirect
from django.http import JsonResponse
from django.conf import settings
from django.contrib.auth import authenticate, login
from django.core.mail import send_mail
import json
from .models import *
from .forms import *
from django.http import HttpResponseRedirect,HttpResponse
... | |
data
def get_land_sea_mask(self):
if self.resolution == 1000:
satellite_type1 = ['FY3A', 'FY3B']
satellite_type2 = ['FY3C']
if self.satellite in satellite_type1:
data_file = self.in_file
if not os.path.isfile(data_file):
raise ValueError(
'Data file is not exist. {}'.format(data_file))
with h5py.File(data_f... | |
from __future__ import print_function, absolute_import
import os, sys, subprocess, shlex, tempfile, time, sklearn.base, math
import numpy as np
import pandas as pd
from pandas_extensions import *
_vw_default_path = 'utils/lib/vw'
class _VW(sklearn.base.BaseEstimator):
def __init__(self,
logger=None,
... | |
BOLD DIGIT SIX
1D7D5 MATHEMATICAL BOLD DIGIT SEVEN
1D7D6 MATHEMATICAL BOLD DIGIT EIGHT
1D7D7 MATHEMATICAL BOLD DIGIT NINE
1D7D8 MATHEMATICAL DOUBLE-STRUCK DIGIT ZERO
1D7D9 MATHEMATICAL DOUBLE-STRUCK DIGIT ONE
1D7DA MATHEMATICAL DOUBLE-STRUCK DIGIT TWO
1D7DB MATHEMATICAL DOUBLE-STRUCK DIGIT THREE
1D7DC MATHEMATICAL DOUB... | |
#
# Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# Copyright (C) 2018-2021 UAVCAN Development Team <uavcan.org>
# This software is distributed under the terms of the MIT License.
#
import datetime
import inspect
import logging
import types
import typing
import nunavut.lang
from ..templates ... | |
#!/usr/bin/env python
# Copyright (c) 2015:
# Istituto Nazionale di Fisica Nucleare (INFN), Italy
#
# See http://www.infn.it for details on the copyrigh holder
#
# 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 o... | |
from .core import KeyStore, KeyStoreError, PinError
from platform import CriticalErrorWipeImmediately
import platform
from rng import get_random_bytes
import hashlib
import hmac
from bitcoin import ec, bip39, bip32
from bitcoin.transaction import SIGHASH
from helpers import aead_encrypt, aead_decrypt, tagged_hash
impor... | |
<filename>data/external/repositories_2to3/154929/march-ml-mania-2015-master/src/hardcoded.py
# this was produced by calling kaggle_to_collected(2011) and then manually fixing it by looking at
# http://en.wikipedia.org/wiki/List_of_colloquial_names_for_universities_and_colleges_in_the_United_States
# For schools for w... | |
# Ultroid - UserBot
# Copyright (C) 2020 TeamUltroid
#
# This file is a part of < https://github.com/TeamUltroid/Ultroid/ >
# PLease read the GNU Affero General Public License in
# <https://www.github.com/TeamUltroid/Ultroid/blob/main/LICENSE/>.
"""
✘ Commands Available -
• `{i}gban <reply user/ username>`
• `{i}ungb... | |
"modifiedTime":
suggest = "modified_time"
elif key == "azureDataLakeSection":
suggest = "azure_data_lake_section"
elif key == "azureMySqlSection":
suggest = "azure_my_sql_section"
elif key == "azurePostgreSqlSection":
suggest = "azure_postgre_sql_section"
elif key == "azureSqlDatabaseSection":
suggest = "azure... | |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# =============================================================================
## @file ostap/fitting/dataset.py
# Module with decoration for RooAbsData and related RooFit classes
# @see RooAbsData
# @see RooDataSet
# @author <NAME> <EMAIL>
# @date 2011-06-07
# =========... | |
inferred from
the general limits/nominal values (e.g. i)
"""
I_SD_IDX = 0
I_SQ_IDX = 1
EPSILON_IDX = 2
CURRENTS_IDX = [0, 1]
CURRENTS = ['i_sd', 'i_sq']
VOLTAGES = ['u_sd', 'u_sq']
_model_constants = None
_initializer = None
def __init__(self, motor_parameter=None, nominal_values=None,
lim... | |
# Copyright (c) 2015 Shotgun Software Inc.
#
# CONFIDENTIAL AND PROPRIETARY
#
# This work is provided "AS IS" and subject to the Shotgun Pipeline Toolkit
# Source Code License included in this distribution package. See LICENSE.
# By accessing, using, copying or modifying this work you indicate your
# agreement to the S... | |
import torch
import re
import os
import collections
from torch._six import string_classes, int_classes
import cv2
from opt import opt
from tqdm import tqdm
import time
import matplotlib.pyplot as plt
from PIL import Image
import numpy as np
import math
import copy
from put_gif import put_gif
import stati... | |
# Copyright 2022 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | |
pandas series and got {0}'.\
format(type(data)))
if user_col not in data or pd.isnull(data[user_col]):
raise ValueError('Missing required username')
if (hpc_user_col not in data or pd.isnull(data[hpc_user_col])) and \
(password_col not in data or pd.isnull(data[password_col])):
raise ValueError('Missin... | |
- **MaxItems** *(integer) --*
The total number of items to return. If the total number of items available is more than the value specified in max-items then a ``NextToken`` will be provided in the output that you can use to resume pagination.
- **PageSize** *(integer) --*
The size of each page.
- **StartingToken** ... | |
#!/usr/bin/env python3
import sys
import os
import os.path
import subprocess
import tempfile
import re
import itertools
import hashlib
import shutil
import argparse
import codecs
import json
import multiprocessing
from functools import partial
backend = 'glsl'
args = {}
def remove_file(path):
#print('Removing file:... | |
'.6e'), '# cluPh1322'],
[1280, format(angle(scaled_wc('lu_1332')), '.6e'), '# cluPh1332'],
[1281, format(angle(scaled_wc('lu_1323')), '.6e'), '# cluPh1323'],
[1282, format(angle(scaled_wc('lu_1333')), '.6e'), '# cluPh1333'],
[1283, format(angle(scaled_wc('lu_2213')), '.6e'), '# cluPh2213'],
[1284, format(angle(sca... | |
for path: ['S', 'W', 'W', 'W', 'S', 'E', 'E', 'S', 'E', 'S', 'W', 'W', 'W', 'S', 'S', 'E']
# D4 E1 E4 F1 G1 I4 J4
# Score 6 for path: ['E', 'S', 'E', 'S', 'S', 'W', 'W', 'W', 'W', 'W', 'N', 'E', 'N', 'W', 'N', 'E']
# D2 D4 D7 E7 F5 H7
# Score 6 for path: ['E', 'S', 'W', 'W', 'W', 'S', 'S', 'E', 'E', 'S', 'W', 'W', 'W',... | |
+ database._cacheDB['ftpd'][i]._sub_id + "\", "
particle = particle + "\"super_id\" : \"" + database._cacheDB['ftpd'][i]._super_id + "\"}, "
particles = particles + particle
particles = particles[0:(len(particles)-2)]
result = "{ \"retrunValue\" : \"True\", \"data\" : " + particles +" } }"
#
#
#
if (command[1]... | |
* defaultReverseAcceleration,
'maxReverseSpeed': 0.69999999999999996 * defaultMaxReverseAcceleration,
'turn': 0.59999999999999998 * defaultTurn,
'maxTurn': 0.59999999999999998 * defaultMaxTurn },
NAVY_DREADNOUGHT: {
'setShipClass': NAVY_DREADNOUGHT,
'modelClass': WARSHIPL3,
'defaultStyle': Styles.Navy,
'mastCon... | |
<reponame>ratschlab/spladder<gh_stars>10-100
import numpy as np
import statsmodels.api as sm
import statsmodels.sandbox as sms
import h5py
import sys
import os
import pdb
import pickle
import warnings
import time
import datetime
from scipy.optimize import minimize_scalar
from scipy.special import polygamma
from scipy.s... | |
:param data_list: list of dicts with keys `xml_id` (XMLID to
assign), `noupdate` (flag on XMLID), `values` (field values)
:param update: should be ``True`` when upgrading a module
:return: the records corresponding to ``data_list``
"""
original_self = self.browse()
# records created during installation should no... | |
"Ankor Wat: Map 186 to Map 183"],
586: [587, 0, 0, 379, 381, "", b"", False, True, False, "Ankor Wat: Map 186 to Map 187 (W)"],
587: [586, 0, 0, 0, 0, "", b"", False, True, False, "Ankor Wat: Map 187 to Map 186 (W)"],
588: [589, 0, 0, 381, 380, "", b"", False, True, False, "Ankor Wat: Map 187 to Map 186 (E)"],
589:... | |
OUTbound from the newly-created node.
Note: this is a simpler version of create_node_with_relationships()
EXAMPLE:
create_node_with_children(
labels="PERSON",
properties={"name": "Julian", "city": "Berkeley"},
children_list=[ (123, "EMPLOYS") , (456, "OWNS") ]
)
:param labels: Labels to assign to the newly-c... | |
match_expressions is not None:
pulumi.set(__self__, "match_expressions", match_expressions)
if match_labels is not None:
pulumi.set(__self__, "match_labels", match_labels)
@property
@pulumi.getter(name="matchExpressions")
def match_expressions(self) -> Optional[Sequence['outputs.NoSQLInstanceSpecClassSelectorMat... | |
ret = vmdk_ops.disk_attach(vmdk_path=fullpath, vm=vm[0])
self.assertTrue("Error" in ret)
# detach all the attached disks
for id in range(1, self.max_vol_count + 1):
volName = 'VmdkAttachDetachTestVol' + str(id)
fullpath = os.path.join(self.datastore_path, volName + '.vmdk')
ret = vmdk_ops.disk_detach(vmdk_path=fu... | |
def metadata(self):
return self.ll_table.metadata
@property
def metadata_offset(self):
return self.ll_table.metadata_offset
def add_row(self, metadata=None):
"""
Adds a new row to this :class:`PopulationTable` and returns the ID of the
corresponding population.
:param bytes metadata: The binary-encoded meta... | |
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': 0.442343,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic':... | |
npy_int32 const [] Bp, npy_int32 const [] Bi,
unsigned short const [] Bx, npy_int32 [] Cp, npy_int32 [] Ci, unsigned short [] Cx)
csc_eldiv_csc(npy_int32 const n_row, npy_int32 const n_col, npy_int32 const [] Ap, npy_int32 const [] Ai,
int const [] Ax, npy_int32 const [] Bp, npy_int32 const [] Bi, int const [] Bx,... | |
from typing import Union
class Profile():
"""This class contains all API endpoints for the Profile category of the Retail World of Warcraft API
:param api: An instance of our generic API object
:type api: API
"""
def __init__(self, api):
"""Constructor method
"""
self.api = api
async def getProfileApiReso... | |
directory')
dump.add_lines(self.DIRECTORY_ENTRY_RESOURCE.struct.dump())
for resource_type in self.DIRECTORY_ENTRY_RESOURCE.entries:
if resource_type.name is not None:
# name = str(resource_type.name) #.string if resource_type.name.string else ''
dump.add_line(u'Name: [{0}]'.format(
resource_type.name.decode(en... | |
<reponame>vincenttran-msft/azure-sdk-for-python
# coding: utf-8
#-------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#----------------------... | |
formats from self.formats to be used for this column
date_formats_used[j] = list(subformats)
random_idxs = np.array_split(rng.choice(nrow, size=nrow, replace=False), len(subformats)) #randomly split dataframe indices into len(subformats) number of groups
for i in range(len(subformats)): #for each group of indic... | |
from utils.vocab import Vocab
from utils.util import initialize_weights, set_seed, count_parameters, save_params, build_vocab
import utils.constants as constants
from utils.loss import LabelSmoothing, LossCompute
from utils.optimizer import NoamOpt
from Dataloader import ParallelDataset, get_dataloader
from Translate... | |
ONTAP 8.2 or later
operating in Cluster-Mode if the relationship control
plane is 'v1'.
</ul>
:param destination_snapshot: Creates the specified snapshot (in addition to the regular
SnapMirror snapshot) on the destination after the qtree
SnapMirror transfer is over.
:param transfer_priority: Specifies the pr... | |
def view_diff_working_copy(self, data=None):
return (self.vcs.is_in_a_or_a_working_copy(self.path) and len(self.revisions) == 1)
def copy_clipboard(self, data=None):
return (len(self.revisions) > 0)
def view_diff_previous_revision(self, data=None):
item = self.revisions[0]["revision"]
return ("previous_revision... | |
"""
Sentence Pair Classification with Bidirectional Encoder Representations from Transformers
=========================================================================================
This example shows how to implement finetune a model with pre-trained BERT parameters for
sentence pair classification, with Gluon NLP... | |
#!/usr/bin/env python
# Copyright (c) Microsoft Corporation
# All rights reserved.
#
# MIT License
#
# 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 limi... | |
<reponame>NextThought/nti.schema
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
For producing a JSON schema appropriate for use by clients, based on a
Zope schema.
The ``TAG`` constants are intended to be set as (boolean) tagged values
on fields of interfaces, helping determine how the schema is built.
.. note:: T... | |
reqd_string_in_label, nsamples_per_condition, label_value_counts, srs_subset, all_indexes_to_use, all_samples_to_use, labels_to_use, counts_to_use, conditions_list], os.path.join(data_directory, 'datasets', dataset_name), dataset_name+'.pkl')
# Write all the data for input into DESeq2, instead of just a sample
def wr... | |
returned, i.e., the points where there
isn't complete overlap between kernel and spike train
are discarded
NOTE: if True and an asymmetrical kernel is provided
the output will not be aligned with [t_start, t_stop]
Returns
-------
rate : neo.AnalogSignal
Contains the rate estimation in unit hertz (Hz).
Has a p... | |
0, 1, 1],
[0, 1, 1, 1],
[0, 1, 0, 0]], dtype=np.uint8)
base_img1_flipped = np.array([[1, 1, 0, 0],
[1, 1, 0, 0],
[1, 1, 1, 0]], dtype=np.uint8)
base_img2_flipped = np.array([[1, 1, 0, 0],
[1, 1, 1, 0],
[0, 0, 1, 0]], dtype=np.uint8)
images = np.array([base_img1, base_img2])
images_flipped = np.array([base_i... | |
import sys
from io import StringIO
from PySide6.QtCore import *
from PySide6.QtGui import *
from PySide6.QtWidgets import *
from modules.settings.settings import SettingsManager
from modules.pseudo_id.pseudo_id import PseudoIDManager
from gms_uploader.modules.models.pandasmodel import PandasModel
from gms_uploader.mo... | |
import argparse
import itertools
import json
import logging
import os
import pickle
import time
import warnings
from collections import Counter, defaultdict
from typing import Dict, Any, List, Iterable, Tuple, Set
warnings.filterwarnings(action='ignore', category=UserWarning, module='gensim')
import langdetect
import... | |
easier and less verbose! These options are meant to be
used in conjunction with a config file for overriding certain
configuration options and testing them.
"""),
formatter_class=argparse.RawDescriptionHelpFormatter)
add_list_args(plot_parser, True)
add_dump_args(plot_parser, True)
add_plot_args(plot_parser, Fa... | |
the redundancy of the filters
(the larger r_psi, the larger the overlap between adjacent wavelets),
and stability against time-warp deformations (larger r_psi improves it).
Defaults to sqrt(0.5).
Tuple sets separately for first- and second-order filters.
criterion_amplitude : float, optional
Represents the numeri... | |
<reponame>AvinashSingh786/W2RC
import tkinter
from tkinter import messagebox
import tkinter.filedialog as fd
import signal
import subprocess
import hashlib
import os
import sys
import ctypes
import winreg
import psutil
import datetime
import pickle
import logging
import datetime as dt
import json
import requests
impor... | |
<reponame>LuisPalacios/iptv2hts
# Stardard tools
import struct
import re
import sys
import os
import itertools
import logging
import json
# Networking
import socket
from errno import EAGAIN
# Time handling
import time
import pytz
import datetime
from datetime import timedelta
# XML
import urllib
import xml.etree.Ele... | |
cluster.
:rtype: dict
:returns:
"""
pass
def batch_modify_cluster_snapshots(self, SnapshotIdentifierList: List, ManualSnapshotRetentionPeriod: int = None, Force: bool = None) -> Dict:
"""
Modifies the settings for a list of snapshots.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/re... | |
import functools
import warnings
from pathlib import Path
import numpy as np
import pandas as pd
from estimagic import batch_evaluators as be
from estimagic.config import CRITERION_PENALTY_CONSTANT
from estimagic.config import CRITERION_PENALTY_SLOPE
from estimagic.logging.database_utilities import append_row
from est... | |
# -*- coding: utf-8 -*-
######################################################
# PROJECT : Anuvaad PDF Paragraph Parser
# AUTHOR : <NAME>
# DATE : Apr 27, 2020
######################################################
import ast
import cv2
import io
import numpy
import os
import re
import pyspark.sql.functions as F
im... | |
** 2
# 2) vx/vy = dx/dy
vy = sqrt(1600 / (1 + dx**2/dy**2)) if dy != 0 else 0
vx = sqrt(1600 / (1 + dy**2/dx**2)) if dx != 0 else 0
self.owner.spawner.spawn('tall_spark', (2 + 2*dx_sign,
7 + 2*dy_sign),
vx=vx * dx_sign,
vy=vy * dy_sign,
**kwargs)
self.dispatcher.add_event(BearEvent('play_sound',
'spark'))
d... | |
superfreq, superf / superfreq
)
+ superblob
)
else:
superblob = (
"\n{} 0 N/A\n".format(supercat.capitalize()) + superblob
)
totalfreq += superfreq
totalf += superf # TODO is this correct?
bprint("".join(superblob))
bprint("Total frequency: {}".format(totalfreq))
bprint("Total F-score: {}".format(totalf / t... | |
ans = float(S - ans) / S
return A
def func_8ac373f0b58c4f80a2a6c5b1152ffbf0(r, s, q, N):
D = [((i * p + q) % r + s) for i in range(N)]
S = sum(D)
ans = S
A, B, C = 0, 0, S
a = 0
b = -1
while b < N - 1:
b += 1
C -= D[b]
B += D[b]
p = max(A, B, C)
while a < b:
B -= D[a]
A += D[a]
a += 1
t = max(A, B, C... | |
import torch
from torch import nn
from torch.nn import functional as F
from torch.nn import init
from torch.autograd import Function
from math import sqrt
import torch.utils.data
import torch.utils.data.distributed
from torch.nn.utils import spectral_norm
F_conv = torch.nn.functional.conv2d
''' fix the last four layer... | |
nerc region matches the nerc region of operation (TRUE)
df['nerc_match'] = df['nerc_region'] == df['nerc_regions_of_operation']
# Group by utility, state, and report date to see which groups have at least one TRUE value
grouped_nerc_match_bools = (
df.groupby(['utility_id_eia', 'state', 'report_date'])
[['nerc_ma... | |
dparam in pdC]
else:
# Don't kill gradients
dC = pdC
# Set class attributes and return
self.C, self.dC, self.L = C, dC, L
return C, dC, L
# Method to get updates
def getupdates(self, cost=None, gradients=None, method='sgd', **kwargs):
"""
:type cost: theano.tensor.var.TensorVariable
:param cost: Cost scala... | |
<reponame>WindRiver-Labs/wrlinux<filename>wrlinux-ovp/recipes-extended/system-report/files/systemReporter.py
#!/usr/bin/env python
###############################################################################
#
# Copyright (C) 2013 Wind River Systems, Inc.
#
# This code is licensed under the GPLv2.
#
################... | |
0
#sometimes the HTTPS connection gets rejected/terminated
except requests.exceptions.ConnectionError:
logger.warning(f'GQ >>> Connection error encountered for {product_id}.')
return 0
except:
logger.critical('GQ >>> Processing has failed!')
#uncomment for debugging purposes only
#logger.error(traceback.for... | |
# Copyright 2016 Brocade Communications System, 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 require... | |
<gh_stars>0
import copy
import numpy as np
import os
import random
import sys
import time
import warnings
from contextlib import redirect_stdout
import ipdb
with warnings.catch_warnings():
warnings.filterwarnings("ignore", category=FutureWarning)
# To deactivate warnings: https://github.com/tensorflow/tensorflow/issu... | |
The identity provider input for data plane
authentication.
:type data_plane_authentication_identity_input:
~azure.mgmt.recoveryservicessiterecovery.models.IdentityProviderInput
"""
_validation = {
'machine_name': {'required': True},
'authentication_identity_input': {'required': True},
'resource_access_identity... | |
from operator import attrgetter
import pyangbind.lib.xpathhelper as xpathhelper
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType
from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType
from pyangbind.lib.base import PybindBase
from d... | |
# The piwheels project
# Copyright (c) 2017 <NAME> <https://github.com/bennuttall>
# Copyright (c) 2017 <NAME> <<EMAIL>>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain t... | |
to `1000`") # noqa: E501
collection_formats = {}
path_params = {}
if 'list_id' in params:
path_params['list_id'] = params['list_id'] # noqa: E501
query_params = []
if 'fields' in params:
query_params.append(('fields', params['fields'])) # noqa: E501
collection_formats['fields'] = 'csv' # noqa: E501
if 'exclu... | |
of optical depth grid
self.L = self.M = len(self.x)
self.ll = self.mm = np.arange(self.L)
self.logE = np.log10(self.E)
self.n0 = min(self.nn)
self.dE = np.diff(self.E)
self.dlogE = np.diff(self.logE)
# Pre-compute cross-sections
self.sigma_E = np.array([np.array([self.sigma(E, i) for E in self.E]) \
for i i... | |
will rise or fall
# Note: R = Rising, F = Falling
#--------------------------------------------------
# wR = (self.dV > 0) # boolean array
# wF = np.invert(wR) # boolean array
# n_rising = wR.sum()
# n_falling = wF.sum()
# print(' n_rising = ' + str(n_rising))
# print(' n_falling = ' + str(n_falling))
#-... | |
<filename>varCall_filtering/scripts/helpers.py<gh_stars>1-10
import ConfigParser
import os
import re
import sys
import subprocess
from threading import Thread
def mpileup_cmdgen(args,case_name,source_dir):
#generate command for mpileup
cmd = "qsub -sync y -t " + str(args.start) + "-" + str(args.end) \
+ " -V " \
+... | |
# -*- coding: utf-8 -*-
"""
Workflow and workflow proxy base class definitions.
"""
__all__ = ["BaseWorkflow", "workflow_property", "cached_workflow_property"]
import sys
import functools
import logging
from collections import OrderedDict
from abc import abstractmethod
import luigi
import six
from law.task.base ... | |
#!/usr/bin/env python
#
# BEDOPS
# Copyright (C) 2011-2017 <NAME>, <NAME> and <NAME>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any... | |
<reponame>Cloudxtreme/tmux-cssh-gui
#!/usr/bin/env python
import gtk
import gtk.glade
import subprocess
import shlex
from service import environment
from model.setting import Setting
from service.settings import Settings
from service.config import Config
from gui.entrydlg import EntryDlg
class TMUXCSSHGUI:
# Cons... | |
0)
# Offsets for start and end of k loop.
# Prevents mapping of space beyond the grid.
k1start = 0
k1end = 0
k2start = 0
k2end = 0
for d in xrange(max_d):
# Bail out if deadline is reached.
if time.time() > deadline:
break
# Walk the front path one step.
for k1 in xrange(-d + k1start, d + 1 - k1end, 2):
k... | |
in self.cif.keys():
cifpat = self.cif[pattern]
if (
x_ordinate not in cifpat
or y_ordinate not in cifpat
and y_ordinate != "Pattern number"
or z_ordinate not in cifpat
):
continue
# we now know that both x and z are in the pattern
x = cifpat[x_ordinate]
z = cifpat[z_ordinate]
y = i if y_ordinate == "Pattern... | |
import unittest
from myunittest_settings import *
import os,sys,inspect
current_dir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parent_dir = os.path.dirname(current_dir)
sys.path.insert(0, parent_dir)
from find_dups import *
class TestUM(unittest.TestCase):
def setUp(self):
pass
... | |
tbi_ids, write_to_outstore = True)
output_gvcf_id = concat_job.rv(0)
output_gvcf_index_id = concat_job.rv(1)
elif options.caller == 'dragen':
dragen_job = merge_chr_bams_job.addChildJobFn(run_dragen_gvcf, context, sample_name, merge_chr_bams_job.rv(0), dragen_ref_index_name, udp_data_dir, helix_username, write_to_o... | |
# E[d][31:0]
e_d_1 = self.get("d{0}".format(self.data['d']+1), Type.int_32) # E[d][62:32]
result_w0 = e_d_0 - mul_res0
result_w1 = e_d_1 + mul_res1
# compute ssov32
max_pos = self.constant(INT32_MAX_POS, Type.int_32)
max_neg = self.constant(INT32_MAX_NEG, Type.int_32)
result_w0_ssov = ssov32(result_w0, max_pos,... | |
# coding: utf-8
# /*##########################################################################
#
# Copyright (c) 2004-2021 European Synchrotron Radiation Facility
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to d... | |
__nutils_hash__(self):
h = hashlib.sha1('{}.{}:{}\0'.format(type(self).__module__, type(self).__qualname__, type(self)._version).encode())
for arg in self._args:
h.update(nutils_hash(arg))
for name in sorted(self._kwargs):
h.update(nutils_hash(name))
h.update(nutils_hash(self._kwargs[name]))
return h.digest()
... | |
<gh_stars>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 under the Apache License, Version 2.0
# (the "License"); you m... | |
*,
duration: pulumi.Input[int],
filename: pulumi.Input[str],
filter: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[int] duration: Time frame in seconds of the capture.
:param pulumi.Input[str] filename: Defines the name of the capture file.
:param pulumi.Input[str] filter: Additional filter to app... | |
<gh_stars>1-10
"""Main entry file, definition of ColumnDT and DataTables."""
import sys
from collections import namedtuple
from logging import getLogger
from dateutil.parser import parse as date_parse
import datetime
from sqlalchemy.dialects import postgresql, mysql, sqlite
from sqlalchemy import func, Text, or_
import... | |
<filename>cisco-ios-xr/ydk/models/cisco_ios_xr/_meta/_Cisco_IOS_XR_asr9k_lc_ethctrl_oper.py
import re
import collections
from enum import Enum
from ydk._core._dm_meta_info import _MetaInfoClassMember, _MetaInfoClass, _MetaInfoEnum
from ydk.types import Empty, YList, YLeafList, DELETE, Decimal64, FixedBitsDict
from... | |
zeff, zorig, rel,
nr, r, r2, dl, q0, xm1, xm2, njrc, vi):
'''setqmm subroutine'''
c = 137.038
alpha = rel / c
aa = alpha * alpha
a2 = aa / 2.
lp = l + 1
lpx = lp
if lp > 4:
lpx = 4
lp2 = l + l + 1
if lp2 > 7:
lp2 = 7
zeff = zorig
if njrc[lpx] > 0:
zeff = 0.
zaa = zeff * aa
za2 = zeff * a2
if idof... | |
<reponame>wawzat/pa-get-data<gh_stars>1-10
# Get PurpleAir sensor data from PurpleAir and Thingspeak API's for year-month and store as csv files
# similar to downloaded CSV's from PurpleAir map list.
# Rename config_template py to config.py and edit to include PurpleAir keys, directory path and bounding box variables.
... | |
<gh_stars>1-10
# replicas.models
# Database models for the replicas app.
#
# Author: <NAME> <<EMAIL>>
# Created: Wed Jun 06 22:20:21 2018 -0400
#
# ID: models.py [] <EMAIL> $
"""
Database models for the replicas app.
"""
##########################################################################
## Imports
###########... | |
<reponame>hrnciar/klusta
# -*- coding: utf-8 -*-
"""SpikeDetekt algorithm."""
#------------------------------------------------------------------------------
# Imports
#------------------------------------------------------------------------------
from collections import defaultdict
import logging
import numpy as n... | |
<gh_stars>0
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright © 2007, 2008 <NAME> <<EMAIL>>
#
# This file is part of the Bobcat program.
#
# Bobcat is free software; you can use it, redistribute it and/or modify it
# under the terms of the MIT license.
#
# You should have received a copy of the MIT license wi... | |
"""
Calculate the cost basis.
"""
import csv
import decimal
import io
from decimal import Decimal
from typing import Sequence
from yabc import coinpool
from yabc import ohlcprovider
from yabc import transaction
from yabc.costbasisreport import CostBasisReport
from yabc.transaction import Transaction
from yabc.transact... | |
import numpy as np
from scipy.ndimage import imread
from scipy.misc import imsave
from itertools import izip
from collections import deque
from pylibs.spatialfunclib import projection_onto_line
import sqlite3
import math
import sys
import os
import pickle
# globals
min_lat, min_lon, max_lat, max_lon = None, None, None... | |
""" drivers for conformer
"""
import numpy
from qcelemental import constants as qcc
import automol
import elstruct
import autofile
import moldr
from automol.convert import _pyx2z
WAVEN2KCAL = qcc.conversion_factor('wavenumber', 'kcal/mol')
EH2KCAL = qcc.conversion_factor('hartree', 'kcal/mol')
def conformer_sampling... | |
return jnp.where(self.concentration <= 1, jnp.inf, a)
@property
def variance(self):
# var is inf for alpha <= 2
a = (self.rate / (self.concentration - 1)) ** 2 / (self.concentration - 2)
return jnp.where(self.concentration <= 2, jnp.inf, a)
def tree_flatten(self):
return super(TransformedDistribution, self).tr... | |
import re
from datetime import datetime
from aiohttp import web
from sqlalchemy.sql import func, or_
from sqlalchemy.orm import aliased
from ..app import app, logger
from ..model.build import Build, BUILD_STATES, DATETIME_FORMAT
from ..model.sourcerepository import SourceRepository
from ..model.project import Project... | |
in this segment, in the order [11, 3, 6, 4, 9].
The segment can be read has having length 4 because four consecutive
pitch classes, [3, 6, 4, 9], can be read from this sequence
in such a way that the first pitch class of this subsequence is part of the
first chord in the segment, and the last pitch class
is that ... | |
"""
The ID of the function associated with the trigger.
"""
return pulumi.get(self, "function_id")
@function_id.setter
def function_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "function_id", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of th... | |
<gh_stars>1-10
"""
# hdl21 Elaboration
Defines the primary `elaborate` method used to flesh out an in-memory `Module` or `Generator`.
Internally defines and uses a number of hierarchical visitor-classes which traverse the hardware hierarchy,
performing one or more transformation-passes.
"""
# Std-Lib Imports
impo... | |
#
# amber_test_generation.py
# Author: <NAME> #
import sys
import re
from configuration import Configuration
# Configuration object to be used in the Amber test generation
# Notes: saturation_level describes the heuristic of running many
# instances of the same test in the same kernel. Each instance of the
# test op... | |
= x.index_select(axis, x_index)
self.assertEqual(
y, np.take(data.reshape(flatten_shape), index, axis=axes[0]))
def test_isfinite(self):
data = np.array([0., float('nan'), float('inf')])
x = new_tensor(data)
self.assertEqual(x.isfinite(), np.isfinite(data))
def test_isinf(self):
data = np.array([0., 1., float... | |
' + str(nts.shape) + '}' for nts_id_name, nts in
_f.outputs.items()]))
if f_name not in nodes:
nodes[f_name] = (node_x, node_y, node_text)
for label_to, (label_from, node_from) in _f.inputs.items():
to_x, to_y = ind.node2X[_f.id_name], n2d[_f.id_name]
from_x, from_y = ind.node2X[node_from], n2d[node_from]
inter... |
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