input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
"""Imports"""
import json
import pytest
import demistomock as demisto
from netaddr import IPAddress
IOC_RES_LEN = 38
'''Tests'''
@pytest.mark.helper_commands
class TestHelperFunctions:
@pytest.mark.get_outbound_ioc_values
def test_get_outbound_ioc_values_1(self, mocker):
"""Test on_demand"""
from ExportIndicat... | |
# coding: utf-8
import pprint
import re
import six
class CreateListenerOption:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
sensitive_list = []
openapi_typ... | |
a child or children
as a father (mother), in place of the natural or adoptive
father (mother). [thefreedictionary]"""),
'lino_xl.lib.humanlinks.Link' : _("""A link between two persons."""),
'lino_xl.lib.humanlinks.Link.parent' : _("""Pointer to the person who is "parent"."""),
'lino_xl.lib.humanlinks.Link.child' : _... | |
= self.owner_id
result['DomainName'] = self.domain_name
result['StartTime'] = self.start_time
result['EndTime'] = self.end_time
result['Interval'] = self.interval
result['IspNameEn'] = self.isp_name_en
result['LocationNameEn'] = self.location_name_en
return result
def from_map(self, map={}):
self.owner_id = m... | |
<gh_stars>10-100
from logging import Logger
import requests
import time
try:
# web3 4.0
from eth_account.internal.transactions import assert_valid_fields
except ImportError:
# web3 5.0
from eth_account._utils.transactions import assert_valid_fields
from sto.ethereum.utils import mk_contract_address, get_construct... | |
<reponame>lesyk/Evolife<filename>Other/Ants/Ants.py
#!/usr/bin/env python
##############################################################################
# EVOLIFE www.dessalles.fr/Evolife <NAME> #
# Telecom ParisTech 2014 www.dessalles.fr #
##############################################################################
... | |
<filename>data_processor.py
import numpy as np
import json
import glob
import copy
import os.path
import re
from tqdm import tqdm
from sklearn.feature_extraction import FeatureHasher
def read_label_csv(path):
label_table = dict()
with open(path, "r", encoding='ISO-8859-1') as f:
for line in f.readlines()[1:]:
fna... | |
[4.4270e+00, 1.5150e+00, 1.9412e+01],
[5.4930e+00, 2.4339e+01, 1.8848e+01],
[5.2230e+00, 2.3079e+01, 1.9656e+01],
[5.4960e+00, 2.1839e+01, 1.8816e+01],
[5.6050e+00, 2.4950e+00, 2.1551e+01],
[3.9530e+00, 1.3860e+00, 1.8622e+01],
[4.8760e+00, 2.4386e+01, 1.8089e+01],
[4.2980e+00, 2.3074e+01, 1.9952e+01],
[5.7910e... | |
<reponame>ariroffe/logics<gh_stars>10-100
from itertools import product
from copy import copy
from logics.classes.propositional import Formula
from logics.classes.exceptions import NotWellFormed
class LocalValidityMixin:
def _get_truth_value_combinations(self, formula_or_inference):
"""Will return an iterator that... | |
returned have QUERY's head in the head
and the stored instances of TABLENAMES in the body.
"""
# This is different than abduction because instead of replacing
# a proof attempt with saving a literal, we want to save a literal
# after a successful proof attempt.
assert False, "Not yet implemented"
def abduce(sel... | |
<reponame>hotpxl/minpy-jit<filename>minpy/segment.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
import ast
import types
import inspect
from collections import OrderedDict
from functools import wraps, reduce
from mxnet import nd
from . import core
_segment_cnt = 0
_ndarray_fun... | |
# @today 0 -> text:today, meaning:monday
if "@today" in constraints:
if "0" in constraints["@today"]:
resolved_dict["@today_00"] = "today"
if "1" in constraints["@today"]:
resolved_dict["@today_01"] = "current"
if "2" in constraints["@today"]:
resolved_dict["@today_02"] = "currently"
# @weekly_time: could mak... | |
0.1992188, 0.1718750, 0.1484375, 0.1289062, 0.1132812,
0.0976562, 0.0859375, 0.0781250, 0.0742188, 0.0742188, 0.0742188,
0.0781250, 0.0859375, 0.0976562, 0.1132812, 0.1289062, 0.1484375,
0.1718750, 0.1992188, 0.2265625, 0.2539062, 0.2851562, 0.3164062,
0.3476562, 0.3828125, 0.4179688, 0.4492188, 0.4843750, 0.515625... | |
state_out = State(x=x, v=vf, beta=state.beta)
logdet = tf.reduce_sum(scale, axis=1)
return state_out, logdet
def _update_v_forward(
self,
state: State,
step: int,
training: bool = None
):
"""Update the momentum `v` in the forward leapfrog step.
Args:
network (tf.keras.Layers): Network to use
state (State... | |
logits = logits + weights['b_output']
if config.label_type == 'multi_head_sparse' or config.label_type == 'multi_head_one_hot':
logits2= tf.matmul(kc, weights['w_output_head2']) + weights['b_output_head2']
else:
logits2 = tf.constant(0, dtype=tf.float32)
self.logits = logits
self.logits2 = logits2
return logit... | |
await msg.edit(content="")
await msg.edit(
content=f"```diff\n{int(msg_react.content)}ページ/{len(embeds)}ページ目を表示中\n見たいページを発言してください。\n30秒経ったら処理は止まります。\n0と発言したら強制的に処理は止まります。```",
embed=embeds[int(msg_react.content) - 1])
except asyncio.TimeoutError: # wait_forの時間制限を超過した場合
# このcontentの中にはゼロ幅スペースが入っています。Noneでもいいのですが編集者... | |
<filename>python/src/ties/test/schema_validation_tests.py
################################################################################
# Copyright 2019 Noblis, 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... | |
# -*- coding: utf-8 -*-
#!/usr/bin/python
# Author: <NAME>
# UY - 2017
# License: MIT
# One way or another...
# One and Two ways ANOVA conducting with Python
# %matplotlib inline
import warnings
warnings.filterwarnings('ignore')
import pandas as pd
import matplotlib.axes
pd.set_option("display.width", 100)
import matp... | |
import logging
import typing
from itertools import combinations
import spydrnet as sdn
from spydrnet.ir import Definition as DefinitionBase
from spydrnet.ir.innerpin import InnerPin
from spydrnet.ir.outerpin import OuterPin
from spydrnet.ir.port import Port
logger = logging.getLogger('spydrnet_logs')
try:
import ne... | |
# ==========================================================================================================================================================
# mappo gnn class
# purpose: class to train multiple agents
# =====================================================================================================... | |
to reconfirm')
class PersonalInformationForm(RegistrationFormStep):
title = 'Personal Information'
t_shirt_cut = forms.ChoiceField(
label='My t-shirt cut',
choices=(
('', NO_T_SHIRT_LABEL),
('s', STRAIGHT_CUT_LABEL),
('w', WOMENS_FITTED_CUT_LABEL),
),
required=False,
)
t_shirt_size = forms.ChoiceField(
l... | |
import hashlib
import json
import os
import re
import shlex
import shutil
import subprocess
from argparse import ArgumentParser
from configparser import ConfigParser
from io import StringIO
from subprocess import CalledProcessError
from django.conf import settings
from django.template.loader import render_to_string
fr... | |
print("set rotation speed: {} deg/sec".format(rs))
@stage_decorator(list(detectors) + motor)
@bpp.monitor_during_decorator([zps.pi_r])
@run_decorator(md=_md)
def fly_inner_scan():
# close shutter, dark images: numer=chunk_size (e.g.20)
print("\nshutter closed, taking dark images...")
yield from _set_andor_param... | |
<filename>data-hub-api/apps/cdms_api/soap/api.py
import os
import hmac
import base64
import hashlib
import datetime
import requests
import logging
from uuid import uuid4
from suds.sax.parser import Parser
from django.utils import timezone
from django.conf import settings
from django.template import Engine, Context
fr... | |
"""
GCore/SolveIK.py
Requires:
sys
numpy
scipy
Grip
ISCV (project, cloud, )
"""
import sys
import numpy as np
import ISCV
from GCore import Character, Recon, list_of_lists_to_splits
import scipy.linalg.lapack as LAPACK
def computeChannelAffectedEffectors(jointCutOff, jointParents, jointChanSplits, effect... | |
<reponame>leilinen/flink
################################################################################
# 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. Th... | |
else:
unknown_words.add(word)
print(f"Bonusing {len(known_words)} prewrite words: {' '.join(sorted(known_words))}")
print(f"Not bonusing {len(unknown_words)} unknown words: {' '.join(sorted(unknown_words))}")
# Beginning of sentence suggestions
if use_bos_suggs and use_bos_suggs != 'manual' and not enable_bos_sug... | |
#!/usr/bin/env python
# coding: utf-8
# For python 2 compatibility
from __future__ import unicode_literals
import sys
from codecs import open
from os.path import split, join, exists
from os import getcwd, mkdir
import subprocess
import unicodedata
#from traceback import print_exc
# Python Version Compatibility
majo... | |
from django.shortcuts import render
from . import models, forms
from django.contrib.auth.models import User
from django.contrib.auth import authenticate, login, logout
from django.http import HttpResponse, HttpResponseRedirect
from django.contrib.auth.decorators import login_required
from django.contrib.admin.views.dec... | |
f.close()
commandSuccess=True
elif a[0] == 'showall':
for i in range(len(texts)):
#print texts(i)
_ba.chatmessage(str(i) + '. ' + texts[i])
commandSuccess=True
elif a[0] == 'del' and len(a)>1:
try:
if len(texts) > 1:
texts.pop(int(a[1]))
#write to file
with open(python_path + '/BsTextOnMap.py') as (file):
... | |
<filename>src/DCGMM/dataset/TF2_Dataset.py
# 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 w... | |
# 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... | |
from tkinter import *
from tkinter import ttk
from colorexlib.colorexlib.common.datastructures import HeatMap, Tile
from colorexlib.colorexlib.common.styling import Themes, StyleSheet
import math
class HeatMapWindow(Frame):
def __init__(self, parent, heatmap=None, **kwargs):
# Determine the val... | |
<reponame>AlexRaschia/Py-nergie_demo
# -*- coding: utf-8 -*-
"""
Projet Py-nergie
DS Bootcamp Juin 2021
"""
import streamlit as st
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
#from sklearn.preprocessing import StandardScaler, MinMaxScaler
st.set_option('deprecation.showPypl... | |
the client"""
with self.metadata_lock:
details = {}
for field in CLIENT_FIELDS:
if hasattr(self, field):
details[field] = getattr(self, field)
if self.sensors:
details['sensors'] = []
for sensor_id, sensor in self.sensors.items():
sensor_details = sensor.to_dict()
sensor_details['sensor_id'] = sensor_id
deta... | |
<reponame>awb-carleton/pattern-analysis<filename>foldit/check_models.py
from foldit.foldit_data import load_extend_data, make_series
from pattern_extraction import *
import argparse
from sklearn import svm, linear_model, ensemble
from sklearn.metrics import mean_squared_error, r2_score, explained_variance_score
import ... | |
from copy import deepcopy
import time
# Agent that solves Sudoku puzzles
present_mode = True; # step by step
class Sudoku:
def __init__(self):
self.boards_so_far = []
self.sudoku_table = [0]*9
self.read_table()
self.heuristic = 0 # number of zeros
for i in range(0,len(self.sudoku_table)):
for j in ran... | |
EmptyResultException:
return iter([])
else:
# call the __iter__ method directly
return iter(self._qr)
def __iter__(self):
return self.execute()
class UpdateQuery(BaseQuery):
def __init__(self, model, **kwargs):
self.update_query = kwargs
super(UpdateQuery, self).__init__(model)
def clone(self):
query =... | |
include_earliest_year="all_bioactivity_records",
ic50_conversion_strategy="all_relations_half_ic50",
fit_ic50=False,
)["final"]
c_doc_uid = Counter(ds.data["doc_uid"])
x = np.vectorize(lambda uid: c_doc_uid[uid])(ds.data["doc_uid"])
y = value = to_pki(ds.data["value"])
kernel = Benchmarks2018StructuralSimilarity... | |
% dvmrel.mat_type
raise NotImplementedError(msg)
elif card_type == 'DVGRID':
for dvgrid_id in ids:
dvgrids = model.dvgrids[dvgrid_id]
for dvgrid in dvgrids:
desvars_used.add(dvgrid.desvar_id)
nids_used.add(dvgrid.nid)
cids_used.add(dvgrid.cid)
elif card_type == 'TF':
for tf_id in ids:
tfs = model.transfer_fu... | |
key in opts:
opts[key] = value
else:
raise ValueError('%s is not a valid option'%(key))
if opts['use_jd']:
# Set the recycling strategy
if opts['recycle_type'] == 'num_recycling':
recycle_type = TACS.NUM_RECYCLE
else:
recycle_type = TACS.SUM_TWO
problem.addFrequencyConstraint(opts['sigma'], opts['num_eigs']... | |
# processed Android keys
out_key_p = [
<KEY>, <KEY>, 0x872bc2af, 0x740c67d2, 0x06b5b538, 0x203471d9,
0x5b166908, 0x1992e2dd, 0x709c1604, 0xf44b2f24, 0x80b4e61e, 0xf4dd369b,
0x0b635c77, 0x3ece8651, 0x0d0bcd5b, 0x577afa1f, 0xef341b74, 0xfe722dca
]
out_key_s = [[
0xe15f9e9b, 0x03555599, <KEY>, 0xaddfbacb, 0x8563f318, 0x1... | |
<filename>renderchan/launcher.py<gh_stars>10-100
__author__ = '<NAME>'
from gettext import gettext as _
from argparse import ArgumentParser
import os
import subprocess
import datetime
import pwd
class Launcher:
def __init__(self):
self.pidFile = ""
self.logFile = "-"
self.outputFile = "-"
self.sourceDir = ""
s... | |
*args)
return api_call
def net_firewall_config_get(*args):
api_call = _invoke_api('net-firewall-config-get', *args)
return api_call
def net_firewall_config_get_iter(*args):
api_call = _invoke_api('net-firewall-config-get-iter', *args)
return api_call
def net_firewall_config_modify(*args):
api_call = _invoke_ap... | |
<filename>tools/ins2000_parser.py<gh_stars>10-100
import os
import sys
import argparse
import json
import struct
import math
import collections
import datetime
import time
PI = 3.1415926535897932
WGS84 = {
'a': 6378137.0,
'b': 6356752.3142,
'f': 0.0033528106643315515,
'e': 0.081819190837555025,
'e2': 0.0066943799... | |
400.000, 100.000, 0.000, 100.000, 900.000, 16695.000, 0.000, 35773.358],
[700.000, 710.484, 400.000, 100.000, 0.000, 100.000, 900.000, 16695.000, 0.000, 36274.946],
[700.000, 710.484, 400.000, 100.000, 0.000, 100.000, 900.000, 16695.000, 0.000, 35739.309],
[500.000, 710.484, 1100.000, 100.000, 0.000, 100.000, 900.00... | |
return Ravel(Add([self.func, other.func]), self.axis)
return Ravel(Add([self.func, Unravel(other, self.axis, self.func.shape[self.axis:self.axis+2])]), self.axis)
def _get(self, i, item):
if i != self.axis:
return Ravel(Get(self.func, i+(i>self.axis), item), self.axis-(i<self.axis))
if item.isconstant and numeric... | |
# Copyright 2019 T-Mobile US, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing... | |
isinstance(val, CpoExpr):
return val
# Check atoms (not cached)
vtyp = type(val)
ctyp = _PYTHON_TO_CPO_TYPE.get(vtyp)
if ctyp:
return CpoValue(val, ctyp)
# Check numpy scalars (special case when called from overloaded operator)
#if vtyp is NUMPY_NDARRAY and not val.shape:
if vtyp is NUMPY_NDARRAY:
return Cp... | |
<reponame>gAldeia/itea-python
# Author: <NAME>
# Contact: <EMAIL>
# Version: 1.0.2
# Last modified: 06-25-2021 by <NAME>
"""Base class to represent an IT expression.
"""
import numpy as np
from sklearn.base import BaseEstimator
from sklearn.utils.validation import check_array
class BaseITExpr(BaseE... | |
<filename>src/falconpy/malquery.py
"""Falcon MalQuery API Interface Class
_______ __ _______ __ __ __
| _ .----.-----.--.--.--.--| | _ | |_.----|__| |--.-----.
|. 1___| _| _ | | | | _ | 1___| _| _| | <| -__|
|. |___|__| |_____|________|_____|____ |____|__| |__|__|__|_____|
|: 1 | |: 1 |
|::.. . | CROWDSTRIKE FALCON |... | |
""" Affine image registration module consisting of the following classes:
AffineMap: encapsulates the necessary information to perform affine
transforms between two domains, defined by a `static` and a `moving`
image. The `domain` of the transform is the set of points in the
`static` image's grid, and the `codomai... | |
<reponame>nikitaborisov/autowordl
words = ['AAHED', 'AALII', 'AARGH', 'AARTI', 'ABACA', 'ABACI', 'ABACK',
'ABACS', 'ABAFT', 'ABAKA', 'ABAMP', 'ABAND', 'ABASE', 'ABASH',
'ABASK', 'ABATE', 'ABAYA', 'ABBAS', 'ABBED', 'ABBES', 'ABBEY',
'ABBOT', 'ABCEE', 'ABEAM', 'ABEAR', 'ABELE', 'ABERS', 'ABETS',
'ABHOR', 'ABIDE', 'AB... | |
<filename>services/models.py
from collections import defaultdict
from django.conf import settings
from django.contrib.gis.db import models
from django.contrib.gis.geos import Point
from django.contrib.sites.models import Site
from django.core.exceptions import ValidationError
from django.core.urlresolvers import revers... | |
radius: int, h: float, sigma: float,
mse: tuple[float, float], hard_thr: float, block_size: int, block_step: int, group_size: int, bm_range: int, bm_step: int,
ps_num: int, ps_range: int, ps_step: int, lowpass: list[float], color: bool, matrix: int
):
mask = core.GenBlockMask(core.ShufflePlanes(src, 0, vs.GRAY))
c... | |
<reponame>alewis/jax_vumps<filename>testing/old_contractions.py
"""
A docstring
"""
import numpy as np
import scipy as sp
import numpy.linalg as npla
import scipy.linalg as spla
from functools import reduce
from bhtools.tebd.scon import scon
import bhtools.tebd.utils as utils
#from scipy.linalg import solve
"""
Con... | |
self.plotMeanButton3D = qt.QPushButton("Toggle mean shape visibility")
self.plotMeanButton3D.checkable = True
self.plotMeanButton3D.toolTip = "Toggle visibility of mean shape plot"
meanShapeLayout.addWidget(self.plotMeanButton3D,1,2)
self.plotMeanButton3D.enabled = False
self.plotMeanButton3D.connect('clicked(bool... | |
import json
from _sha1 import sha1
from datetime import datetime
from unittest import TestCase
from unittest.mock import patch, Mock
from urllib.parse import urlencode
from verification.application.handlers.jumio_verification_handlers import submit
from verification.application.handlers.verification_handlers import in... | |
<reponame>jeetsukumaran/spdw<gh_stars>0
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
import math
import os
import collections
import json
import sys
import argparse
import inspect
import itertools
import io
import dendropy
class Partition(object):
@staticmethod
def build_species_leafsets(d):
if d is None:
ret... | |
<reponame>cabrittin/elegansbrainmap
"""
connectome.py
Connectome data structures. Inherits from iGraph
See http://igraph.org/python/
Required 3rd party packages:
igraph
csv
numpy
Author: <NAME>
"""
import igraph
import csv
import numpy as np
import ioaux
SCREEN = ['old']
class Connectome:
"""
Class to rep... | |
1
t = max(A, B, C)
if t >= p:
a -= 1
B += D[a]
A -= D[a]
break
p = t
ans = min(ans, p)
return p
def func_185eefb746f742679e04ba34753568f0(N, D):
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... | |
<gh_stars>0
# Dimensional Analysis code
# author: <NAME>
# date: 02/18/2021
# email: <EMAIL>
import sys
import numpy as np
try:
import Tkinter as tk
except ImportError:
import tkinter as tk
try:
import ttk
py3 = False
except ImportError:
import tkinter.ttk as ttk
py3 = True
from dimensional_analysis import so... | |
<gh_stars>1-10
import hashlib
import tempfile
import os
from babel.dates import get_timezone, format_datetime, format_date
from django.http import HttpResponse
from django.utils import timezone
from reportlab.lib import colors
from reportlab.lib.enums import TA_CENTER, TA_RIGHT
from reportlab.lib.styles import getSa... | |
{
"id": "56255f3807599c377bf0e5bf072359fd",
"username": "Chachou",
"email": "<EMAIL>",
}
response = self.client.get(
"/api/liveregistrations/",
HTTP_AUTHORIZATION=f"Bearer {jwt_token}",
)
self.assertEqual(response.status_code, 200)
self.assertEqual(response.json()["count"], 1)
self.assertEqual(
response.js... | |
<reponame>ThomasEdwardRiley/nestcheck<filename>nestcheck/diagnostics_tables.py
#!/usr/bin/env python
"""
High-level functions for calculating results of error analysis and diagnostic
tests for batches of nested sampling runs.
"""
import numpy as np
import pandas as pd
import nestcheck.error_analysis
import nestcheck.i... | |
<reponame>maxwerhahn/Multi-pass-GAN
#******************************************************************************
#
# tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow
# Copyright 2018 <NAME>, <NAME>, <NAME>, <NAME>, <NAME>
#
#*************************************************************... | |
<gh_stars>1-10
"""Base graph class specialized for neural networks on graphs."""
from __future__ import absolute_import
import networkx as nx
import numpy as np
import dgl
from .base import ALL, is_all, DGLError, dgl_warning
from . import backend as F
from .frame import FrameRef, Frame, merge_frames
from .graph_index... | |
ret_val, response = self._make_rest_call_helper_oauth2(action_result, endpoint, json=param, method=method)
if phantom.is_fail(ret_val):
return None
if response.get("resources"):
list_ids_details.extend(response.get("resources"))
del list_ids[:min(100, len(list_ids))]
return list_ids_details
def _get_device_... | |
import libvirt
from xml.etree import ElementTree
from jinja2 import Environment, PackageLoader, FileSystemLoader
import os
import time
import shutil
import random
from qcow2 import Qcow2
from js9 import j
import atexit
LOCKCREATED = 1
LOCKREMOVED = 2
NOLOCK = 3
LOCKEXIST = 4
JSBASE = j.application.jsbase_get_class()
... | |
import argparse
import threading
import socket
import time
import _pickle as cpickle
import hashlib
import pygame
import copyreg
import ctypes
import lz4.frame
def get_ip_address():
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.connect(("8.8.8.8", 80))
return s.getsockname()[0]
class GLL... | |
<reponame>lawrence14701/galaxy<gh_stars>10-100
#!/usr/bin/env python
# % brew vinstall samtools 1.0
# % brew vinstall samtools 0.1.19
# % brew vinstall samtools 1.1
# % brew env samtools 1.1
# PATH=/home/john/.linuxbrew/Cellar/htslib/1.1/bin:/home/john/.linuxbrew/Cellar/samtools/1.1/bin:$PATH
# export PATH
# LD_LIBRAR... | |
X.509 cert"
x509Cert = X509().parse(open(os.path.join(dir, "serverX509Cert.pem")).read())
x509Chain = X509CertChain([x509Cert])
s = open(os.path.join(dir, "serverX509Key.pem")).read()
x509Key = parsePEMKey(s, private=True)
connection = connect()
connection.handshakeServer(verifierDB=verifierDB, \
certChain=x509... | |
properties=dict(
addresses=relationship(
Address, cascade="all,delete-orphan", backref="user"
),
orders=relationship(Order, cascade="all, delete-orphan"),
),
)
s = Session()
# the standalone Address goes in, its foreign key
# allows NULL
a = Address()
s.add(a)
s.commit()
# the standalone Order does not.
... | |
<gh_stars>0
# encoding: utf-8
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
depends_on = [
("core", "0001_initial"),
("environments", "0001_initial"),
("library", "0001_initial"),
]
def forwards(self, orm):
# Addin... | |
:param str workload_type: Workload type for which registration was sent.
"""
if backup_management_type is not None:
pulumi.set(__self__, "backup_management_type", backup_management_type)
if container_type is not None:
pulumi.set(__self__, "container_type", 'AzureWorkloadContainer')
if extended_info is not None:
... | |
"""
Just another Python API for Travis CI (API).
A module which provides the "Repository" resource type.
Author:
<NAME>, @funilrys, contactTATAfunilrysTODTODcom
Project link:
https://github.com/funilrys/PyTravisCI
Project documentation:
https://pytravisci.readthedocs.io/en/latest/
License
::
MIT License
Co... | |
# -*- coding: utf-8 -*-
import os
import json
from collections import OrderedDict
from django.conf import settings
from bs4 import BeautifulSoup
from portal.portal_helper import Content
class SphinxContent:
PADDLE = 'paddle'
PADDLE_API = 'api'
VISUALDL = 'visualdl'
def paddle_sphinx_fluid_sitemap(original_docume... | |
Method': 'طريقة التحديث',
'Update Policy': 'سياسة التحديث',
'Update Report': 'تحديث التقرير',
'Update Request': 'تحديث الطلب',
'Update Service Profile': 'تحديث خدمة البيانات الشخصية',
'Update this entry': 'تحديث هذه الادخال',
'Update Unit': 'تحديث وحدة',
'Update your current ordered list': 'تحديث القائمة المرتبة... | |
<reponame>samadhicsec/threatware
#!/usr/bin/env python3
"""
Handler to invoke verifier
"""
import logging
import sys
import argparse
import json
from pathlib import Path
from storage.gitrepo import GitStorage
from utils.error import ThreatwareError
from utils.output import FormatOutput
import utils.logging
from provid... | |
from __future__ import absolute_import
from __future__ import unicode_literals
import logging
from functools import reduce
import paramiko
import os
import MySQLdb
import random
from orchestration.database import database_update
from orchestration.moosefs import commands as mfs_commands
from orchestration.network imp... | |
# ===========================
# Imports required libraries
# ===========================
import pygame
import random
from sys import exit
# =============================================
# Sets up window - might move to display class
# =============================================
print("Setting up window")
pygame.i... | |
# -*- coding: utf-8 -*-
from __future__ import (unicode_literals, absolute_import)
from julia import node
EQUIPMENT = {
'0': 'None',
'1': 'M4 Super90',
'2': 'Nova Pump',
'3': 'Shotgun',
'4': 'Less Lethal Shotgun',
'5': 'Pepper-ball',
'6': 'Colt M4A1 Carbine',
'7': 'AK-47 Machinegun',
'8': 'GB36s Assault Rif... | |
49, 'R', 'F') : 'RF2',
(131, 49, 'R', 'U') : 'UR0',
(131, 49, 'U', 'B') : 'UB2',
(131, 49, 'U', 'F') : 'UF2',
(131, 49, 'U', 'L') : 'UL2',
(131, 49, 'U', 'R') : 'UR2',
(135, 97, 'B', 'D') : 'DB2',
(135, 97, 'B', 'L') : 'LB2',
(135, 97, 'B', 'R') : 'RB2',
(135, 97, 'B', 'U') : 'UB2',
(135, 97, 'D', 'B') : 'DB0... | |
'''
This is right after migrating last V2 env. refer to xls design file. -- Entrada_v2
/Users/qiyang/Documents/qduan/git/work_git/field_service_robot/doc/dispatch_ai_model_design.xlsx
step 1: move rules out of env definition.
step 2: Then I will change network layout to multiple input (cnn + dense)
https://www.pyimag... | |
__next__(self):
global set_global_value
set_global_value('MyFilter', '__next__')
return 'infinite loop'
o = MyFilter(lambda: None, [])
getattr(o, attribute_name)
assert is_global_value_set('MyFilter', '__getattribute__')
iter(o)
assert is_global_value_set('MyFilter', '__iter__')
next(o)
assert is_global_value_set(... | |
#!/usr/bin/env python
# coding: utf-8
# # 8. Interactivity in Python
# ### Announcements
# - Lab 7 due Wednesday
# - Interview with <NAME> on Friday
# - Code Review I for final projects due on November 19 (50% complete, working examples)
# So far this semester, our interaction with Python has been primarily based i... | |
<filename>type4py/preprocess.py<gh_stars>10-100
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder
from type4py import logger, AVAILABLE_TYPES_NUMBER, MAX_PARAM_TYPE_DEPTH
from libsa4py.merge import merge_jsons_to_dict, create_dataframe_fns, create_dataframe_vars
from li... | |
"""
Training script. Should be pretty adaptable to whatever.
"""
import argparse
import os
import shutil
import json
from copy import deepcopy
import multiprocessing
import numpy as np
import pandas as pd
import torch
from allennlp.common.params import Params
from allennlp.training.learning_rate_schedule... | |
SP.array of I0 interaction variables to be included in the
background model when testing for interaction with Inters
K1r: [N x N] SP.array of LMM-covariance/kinship koefficients (optional)
If not provided, then linear regression analysis is performed
K1c: [P x P] SP.array of LMM-covariance/kinship koefficients (opt... | |
"""Channel.
A channel is used to send values to streams.
The stream will iterate over incoming events in the channel.
"""
import asyncio
from typing import (
Any,
Awaitable,
Callable,
Mapping,
MutableSet,
Optional,
Set,
cast,
)
from weakref import WeakSet
from mode import Seconds, get_logger, want_seconds
... | |
<filename>position inference/csv_to_db_correctBAD.py
import numpy as np
import sqlite3
import pandas as pd
import time
import sys
bTime = time.time()
try:
f = open("../DATAcorrected.db", "xt")
f.close()
except:
print("\nDelete DATAcorrected.db in order to use the program")
sys.exit()
db = sqlite3.... | |
RuntimeError("There isn't enough documents in the database for training the Top2Vec model.")
else:
if len(docs) > 1000:
self.train(docs=list(map(lambda d: d.text, docs))) # training the Top2Vec model with the uploaded documents
else:
raise RuntimeError("There isn't enough documents in the database or in the upload... | |
# Copyright 2016-2017 Capital One Services, LLC
# Copyright The Cloud Custodian Authors.
# SPDX-License-Identifier: Apache-2.0
import itertools
import operator
import zlib
import jmespath
from c7n.actions import BaseAction, ModifyVpcSecurityGroupsAction
from c7n.exceptions import PolicyValidationError, ClientError
fro... | |
cmap = Colormap(self._coltbl(cmap_file), name=cname)
matplotlib.cm.register_cmap(name=cname, cmap=cmap)
return cmap
@property
def cet_d_rainbow_bgymr_r(self):
cname = "cet_d_rainbow_bgymr_r"
if cname in matplotlib.cm._cmap_registry:
return matplotlib.cm.get_cmap(cname)
cmap_file = os.path.join(CMAPSFILE_DIR, "... | |
recvbuf=[Segment_X_spread[gtx].mask, MPI.BOOL], op=MPI.LAND)
Distributed_X_spread = None
#-- along-track Y coordinates of segment fit
Segment_Y_atc[gtx] = np.ma.zeros((n_seg),fill_value=fill_value)
Segment_Y_atc[gtx].mask = np.ones((n_seg),dtype=bool)
comm.Allreduce(sendbuf=[Distributed_Y_atc.data, MPI.DOUBLE], \
... | |
the neighbor allreduce precision (sum) 1D, 2D, 3D tensors correctly."""
size = bf.size()
rank = bf.rank()
if size <= 1:
fname = inspect.currentframe().f_code.co_name
warnings.warn("Skip {} due to size 1".format(fname))
return
dtypes = [torch.DoubleTensor]
if TEST_ON_GPU:
dtypes += [torch.cuda.DoubleTensor]
#... | |
<reponame>yubocai-poly/CSE102
#! /usr/bin/env python3
# --------------------------------------------------------------------
import math
# --------------------------------------------------------------------
class Node:
def __init__(self, value, left=None, right=None):
self.value = value
self.left = left
self.ri... | |
<gh_stars>0
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import math
import to... | |
"""
This is to understand how Config.extra works.
See also: https://pydantic-docs.helpmanual.io/usage/model_config/
TL;DR - There are some surprises when you have properties on your Models both set/get and when exporting via dict()
"""
import pytest
from pydantic import BaseModel, Extra, ValidationError
DATA = {"th... | |
is not None:
scale = scale.to(device=device, dtype=dtype)
assert len(scale.shape) == 1 and (
len(scale) == 2 or len(scale) == 4
), f"`scale` shall have 2 or 4 elements. Got {scale}."
_joint_range_check(cast(torch.Tensor, scale[:2]), "scale")
_scale = _adapted_uniform((batch_size,), scale[0], scale[1], same_on_bat... |
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