input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
<filename>zonarPy/read_sat.py<gh_stars>0
"""
Created on Mon Nov 18 09:30:05 2019
@author: sveng
"""
#SAT file reader
import pandas as pd
import time
import numpy as np
from astral import Astral
def read_sat(fn):
"""
read sat file, the information send via satellite during the voyage
Parameters
----------
fn :... | |
#!/usr/bin/env python
# Edit this script to add your team's training code.
# Some functions are *required*, but you can edit most parts of the required functions, remove non-required functions, and add your own functions.
################################################################################
#
# Imported fu... | |
<filename>datastructures.py
import dataclasses
from typing import Dict, Any
@dataclasses.dataclass
class KenPom:
"""Lightweight wrapper around all available KenPom stats."""
rank: int
name: str
conf: str
record: str
eff_margin: float
offense: float
off_rank: int
defense: float
def_rank: int
tempo: float
... | |
'''
// Copyright (c) 2015 Intel Corporation
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agr... | |
# Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance
# with the License. A copy of the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompany... | |
# Databricks notebook source
# MAGIC %md
# MAGIC # CCU013_08 Paper subset data to cohort
# MAGIC
# MAGIC **Description**
# MAGIC
# MAGIC This notebook subsets the covid trajectory, severity and events tables to the cohort used for the phenotype severity paper.
# MAGIC
# MAGIC **Project(s)** CCU0013
# MAGIC
# MAGIC... | |
which case, add the gate in the next (new) time moment.
* `next` - add the gate in the next (new) time moment.
Returns:
``self`` - for chaining
"""
return self.add_gate(gate=Gate.Rx2T, qubits=(qubit, ), **kwargs)
def CX(self, qubitA, qubitB, **kwargs):
""" Add a CX gate to ``self`` at specified qubits and ti... | |
<filename>cave/com.raytheon.viz.gfe/localization/gfe/userPython/procedures/CreateNatlTCVZoneGroups.py
## ----------------------------------------------------------------------------
# This software is in the public domain, furnished "as is", without technical
# support, and with no warranty, express or implied, as to i... | |
scoreVal = float(cellResults[i][scoreOption])
except TypeError:
scoreVal = 0.0
if (scoreVal > vectorThreshold):
hotFile = cellResults[i]["image"]
hotCoords = rasterMap[hotFile[:-4]]
x = hotCoords["x"]
y = hotCoords["y"]
z = hotCoords["z"]
if (x<xmin):
xmin = x
ymin = y
zmin = z
if (x>xmax):
xmax = x
yma... | |
<reponame>james-portman/openstack-ansible
#!/usr/bin/env python
# Copyright 2014, Rackspace 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... | |
import re
import sys
import copy
from text_match import TextMatch
class HierarchicalConfiguration(object):
"""
A class for representing and comparing Cisco running configurations in a
hierarchical tree data structure. An instance represents one line of
a configuration. Each instance has text, indentation, and a l... | |
s
def first(repo, subset, x):
"""``first(set, [n])``
An alias for limit().
"""
return limit(repo, subset, x)
def _follow(repo, subset, x, name, followfirst=False):
l = getargs(x, 0, 1, _("%s takes no arguments or a filename") % name)
c = repo['.']
if l:
x = getstring(l[0], _("%s expected a filename") % name)
... | |
<filename>plugins/modules/oci_sch_service_connector.py
#!/usr/bin/python
# Copyright (c) 2017, 2020 Oracle and/or its affiliates.
# This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl... | |
# License: BSD 3-clause
# Authors: <NAME>,
# <NAME>
import numpy as np
from numpy.lib.stride_tricks import as_strided
import scipy.signal as sg
from scipy import linalg, fftpack
from numpy.testing import assert_almost_equal
def rolling_mean(X, window_size):
"""
Calculate the rolling mean
Parameters
----------
... | |
<reponame>epichide/ExonDataSimulation
import collections
import json
import os
import re
import matplotlib.pyplot as plt
from basic import *
class Line(object):
'''
when begin-end+1==1,it's 1 size region
when begin-end+1==0,it's 0 size point , point is right of end
when begin=='.' xor end=='.',change it to cas... | |
# Copyright 2018 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Build indexing and search."""
import heapq
import logging
import random
import re
from google.appengine.ext import db
from google.appengine.ext import n... | |
<reponame>Mehrad0711/oslo
import time
from math import sqrt
import psutil
import torch
import torch.distributed as dist
from anytree import Node
from oslo.pytorch.model_parallelism.network.broadcaster import Broadcaster
from oslo.pytorch.model_parallelism.utils.extensions import get_parameter_dtype
from oslo.pytorch.... | |
strArtOrd = ''
if intArtOrd == 1:
strArtOrd = 'Articles'
elif intArtOrd == 2:
strArtOrd = 'Orders'
else:
strArtOrd = 'Articles'
form = SQLFORM.factory(Field('Select', 'text', \
default = strArtOrd, \
widget = SQLFORM.widgets.radio.widget, \
requires = [IS_IN_SET(['Articles', 'Orders'], zero = None... | |
# Standard python
import json
# Dependencies
# This package
from domvrt.parser_mapping import ParserMapping
import domvrt.utils as utils
class Results(object):
"""docstring for Results."""
map = None
INSERT = "insert"
REMOVE = "remove"
UPDATE = "update"
MATCH = "match"
issueNumber = 1
# Issue = Actual chan... | |
<gh_stars>1-10
import math
import logging
from os import path
from abc import ABCMeta
from typing import List, Mapping, Optional, Dict
from glob import glob
import numpy as np
import emloop as el
import tensorflow as tf
from .third_party.tensorflow.freeze_graph import freeze_graph
from .third_party.tensorflow.average... | |
"""
***
python package to validate JSON data against a schema.
a **schema** is a python list containing dictionaries
describing each parameter / key in the JSON object (both
expected and optional)
***
a **schema** can have a list of *expected* (must be in the
JSON object) and *optional* keys (which may or m... | |
"""
LSTM point process model.
@author: manifold
"""
from typing import Tuple, List
import torch
from torch import Tensor
from torch import nn
from torch.nn.utils.rnn import PackedSequence
from models.base import SeqGenerator, predict_from_hidden
class HawkesLSTMCell(nn.Module):
def __init__(self, input_dim: int, ... | |
@block_size.setter
def block_size(self, block_size):
assert isinstance(block_size, int) or block_size is None, \
f'block_size must be an integer or None; got {block_size}'
self._blocksize = block_size
@property
def reps(self):
return self._reps
@reps.setter
def reps(self, reps):
assert isinstance(reps, int)... | |
PrincipalList(BaseModel):
__root__: List[Principal]
class CreateResourcePolicyStatementRequest(BaseModel):
statementId: Name
effect: Effect
principal: PrincipalList
action: OperationList
condition: Optional[ConditionMap] = None
class SlotTypeValues(BaseModel):
__root__: Annotated[List[SlotTypeValue], Field(m... | |
<reponame>picopock/core
"""The tests for the Template cover platform."""
import pytest
from homeassistant import setup
from homeassistant.components.cover import ATTR_POSITION, ATTR_TILT_POSITION, DOMAIN
from homeassistant.const import (
ATTR_DOMAIN,
ATTR_ENTITY_ID,
ATTR_SERVICE_DATA,
EVENT_CALL_SERVICE,
SERVICE_... | |
<filename>Master0.py
# app.py
import os, sys, time
import json
from threading import Thread
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from webwhatsapi import WhatsAPIDriver
from pprint import pprint
from ServiceImporter import *
# export PATH="$HOME/wholesomegarden/WhatsappRemin... | |
= info['coloring']
if coloring is None and info['static'] is not None:
coloring = driver._get_static_coloring()
if coloring and coloring_mod._use_total_sparsity:
# if we're using simultaneous total derivatives then our effective size is less
# than the full size
if coloring._fwd and coloring._rev:
pass # we're ... | |
# Pyrogram - Telegram MTProto API Client Library for Python
# Copyright (C) 2017-2021 Dan <https://github.com/delivrance>
#
# This file is part of Pyrogram.
#
# Pyrogram is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published
# by the Free Softw... | |
<filename>c6d.py
#!/usr/bin/env python
# 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 writ... | |
import collections
import fasteners
import hightime
import math
import niscope
import numpy
import os
import pytest
import tempfile
instruments = ['FakeDevice1', 'FakeDevice2']
# TODO(sbethur): Use `get_channel_names` when #1402 is fixed
test_channels = 'FakeDevice2/0,FakeDevice1/1'
# There are system tests below t... | |
== other.__dict__
def __ne__(self, other: 'CustomCertReqGeoRestrictions') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class LabelEnum(str, Enum):
"""
properties.
"""
US = 'us'
EU = 'eu'
HIGHEST_SECURITY = 'highest_security'
class Tls12SettingRe... | |
<reponame>Vincent-Vercruyssen/ML-stats
"""
Functions for the statistical comparison of multiple classifiers
1. Parametric:
2. Non-parametric:
- Friedman
3. Post-hocs:
- Nemenyi
- Bonferroni-Dunn
Terminology often used in literature is:
- blocks = datasets
- groups = treatment = the classifiers/methods
Author: <NA... | |
import matplotlib.pyplot as plt
import pandas as pd
import sys
import csv
import math
import neat
from sklearn.metrics import accuracy_score
from dateutil.parser import parse
from datetime import datetime
# from SPOT.spot import bidSPOT,dSPOT,SPOT
from functools import reduce
import numpy as np
import random
def col_b... | |
from math import exp, pi
from numpy.linalg import eig
from scipy.optimize import fmin_cg
from scipy.spatial.transform import Rotation
from sklearn.datasets import load_breast_cancer, load_digits, load_iris
from sklearn.decomposition import PCA, KernelPCA
from sklearn.preprocessing import StandardScaler
from sklearn.nei... | |
the top-level classes in the namespace to
be retrieved.
Default: `None`
DeepInheritance : `bool`
Optional: Indicates that all (direct and indirect) subclasses of
the specified class or of the top-level classes are to be included
in the result.
`False` indicates that only direct subclasses of the specified
cla... | |
and Other,1970-01-01 23:32:00,1.67,84.0,1.24
7029,3,846.0,1172,Housework,1970-01-01 23:32:00,1.15,82.0,1.21
7030,4,378.0,1172,Child Care,1970-01-01 23:32:00,0.51,29.0,0.43
7031,5,84.0,1172,Adult Care,1970-01-01 23:32:00,0.11,15.0,0.22
7032,10,68489.0,1173,Leisure,1970-01-01 23:33:00,92.86,6307.0,93.33
7033,6,2772.... | |
import functools
import json
import logging
import os
import re
import sys
import warnings
from dataclasses import dataclass, field
from typing import Dict, List, Optional, Union
import numpy as np
import torch
import torchaudio
import datasets
from datasets import DatasetDict, load_dataset, load_metric, set_caching_e... | |
define the flow of information through the network
def forward(self, x):
# Compute the output feature map from the convolutional layers
out = self.get_conv_output(x)
pool_indices = out[self.POOL_INDICES]
# Stretch out the feature map before feeding it to the FC layers
flat = out[self.CONV_OUTPUT].view(-1,... | |
"""
Defines the MapForwardSimulator calculator class
"""
#***************************************************************************************************
# Copyright 2015, 2019 National Technology & Engineering Solutions of Sandia, LLC (NTESS).
# Under the terms of Contract DE-NA0003525 with NTESS, the U.S. Governm... | |
capsules of layer L)
for all k:
for all l: (over all patches)
multiply input pose [(a,x)==(4,4)] with w [(x,d)==(4,4)]
'''
next_capsule_value = torch.einsum('nklm, bnklhwax, klnxdm->bmhwad', query_key,
_inputs, w)
else:
# Vectorised implementation
next_capsule_value = torch.einsum('nklm, bnklh... | |
(new_tab[6:9], )
def escolher_posicao_manual(tab):
""" Realiza a leitura de uma posicao introduzida manualmente por um jogador e devolve essa posicao escolhida.
:param tab: Um tuple, tabuleiro.
:return: Um int, posicao escolhida manualmente pelo jogador.
"""
if not eh_tabuleiro(tab):
raise ValueError... | |
pd.Series.to_frame(high_act(Stock))
df_act = pd.DataFrame(date)
df_act['Open'] = price_open
df_act['Close'] = price_close
df_act['Volume'] = v_act
df_act['Low Price'] = low_price
df_act['High Price'] = high_price
estrategia_promedio = ft.seleccion_estrategia(Stock, 'promedios')[4]
señales_1 = estrat... | |
<reponame>flatcar-linux/chromite
#!/usr/bin/python
# Copyright (c) 2012 The Chromium OS Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Program to run emerge in parallel, for significant speedup.
Usage:
./parallel_emerge [--board=... | |
<reponame>ro0tmylove/myokok
#!/usr/bin/env python3
# pylint: disable=invalid-name, too-many-branches, too-many-statements, broad-except, too-many-arguments, too-many-instance-attributes, line-too-long
'''
this script replaces build.sh, coz bash/sed/awk is driving me insane
'''
import atexit
import glob
import json
i... | |
- pmean) / float(pstd)
##normalize local batch as well before computing metrics
local_batch = local_batch.cpu().numpy()
local_batch.reshape((2, img_dim,img_dim))
local_batch = (local_batch / 255) * 65535.0
local_batch = (local_batch - np.mean(local_batch)) / float(np.std(local_batch))
for t in threshs:
TP, FP, ... | |
<filename>utils/reader.py
from cProfile import label
from collections import defaultdict
from turtle import shape
import torch
from torch.utils.data import Dataset
import random
from transformers import AutoTokenizer, LukeTokenizer
import copy
import ahocorasick
from intervaltree import IntervalTree, Interval
from log ... | |
self.phi_color,
})
def update_brace(brace):
brace.stretch_to_fit_width(
max(self.vector.get_width(), 0.001)
)
brace.next_to(self.vector.get_center(), DOWN, SMALL_BUFF)
return brace
moving_brace = ContinualUpdate(
Brace(Line(LEFT, RIGHT), DOWN), update_brace
)
moving_x_without_phi = ContinualUpdate(
x_witho... | |
import os
import logging
import json
from operator import itemgetter
import dtoolcore
import dtoolcore.utils
from ruamel.yaml import YAML
# This is a hack.
from dtool_info.inventory import _dataset_info
from dtool_info.utils import sizeof_fmt
from dtool_gui_tk.metadata import MetadataSchemaItem
logger = logging.g... | |
"teasable",
"teaseled",
"teaseler",
"teashops",
"teatimes",
"teawares",
"teazeled",
"teazling",
"techiest",
"tectites",
"teddered",
"teeniest",
"teensier",
"teenybop",
"teetered",
"teetotal",
"teetotum",
"tefillin",
"tegmenta",
"tegminal",
"tegument",
"tegumina",
"teiglach",
"tektites",
"tektiti... | |
# Copyright 2016 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 ... | |
<reponame>cjsteel/python3-venv-ansible-2.10.5<filename>lib/python3.8/site-packages/ansible_collections/community/network/plugins/modules/network/fortimanager/fmgr_secprof_av.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
... | |
<filename>senbonzakura.py
#!/usr/bin/env python3
import os
import fcntl
import time
import enum
import curses
#import pyaudio
#import math
senbonzakura = """
█████
██████████
███████████
████████ ███
█████ ████ █████ ██
████ ███████ █████ ███ ███
█ ██████████████████████████ ████ █ █████ ██████
████████... | |
<reponame>michi7x7/python-deltasigma<filename>deltasigma/tests/test_realizeQNTF.py
# -*- coding: utf-8 -*-
# test_realizeNTF.py
# This module provides the tests for the realizeNTF function.
# Copyright 2014 <NAME>
# This file is part of python-deltasigma.
#
# python-deltasigma is a 1:1 Python replacement of Richard Sch... | |
<gh_stars>1-10
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2017 <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 th... | |
<reponame>Bhaskers-Blu-Org1/SIC
from __future__ import print_function
import torch
from torch.utils.data import DataLoader
from torchvision import transforms
from torchvision.datasets.utils import download_url
import os
import errno
import numpy as np
import pandas as pd
class CCLE_Dataset(torch.utils.data.Dataset):
... | |
MyClass.my_class_method(n, n + 1))
@dist_init
def test_py_class_static_method(self):
n = self.rank + 1
dst_rank = n % self.world_size
ret = rpc.rpc_sync(
worker_name(dst_rank), MyClass.my_static_method, args=(n + 10,)
)
self.assertEqual(ret, MyClass.my_static_method(n + 10))
@dist_init
def test_py_multi_asy... | |
<reponame>DodoHan/mycroft-core-zh<filename>msk/actions/create.py
# Copyright (c) 2018 <NAME>, Inc.
#
# This file is part of Mycroft Skills Kit
# (see https://github.com/MycroftAI/mycroft-skills-kit).
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance wit... | |
120:
row_count = len(getRows('template1', qry))
if row_count == 1:
break
time.sleep(5)
current_time = datetime.now()
@when('wait until the process "{proc}" goes down')
@then('wait until the process "{proc}" goes down')
@given('wait until the process "{proc}" goes down')
def impl(context, proc):
start_time = cur... | |
is necessary.
self.b_setAnimState("Happy", self.animMultiplier)
self.wakeUp()
# Play the emote
duration = 0
self.emoteTrack, duration = Emote.globalEmote.doEmote(self, emoteIndex, ts)
self.setActiveShadow(1)
def doEmote(self, emoteIndex, animMultiplier=1, ts=0, callback=None, extraArgs=[]):
# don't play emot... | |
<gh_stars>1-10
"""Library to support dual-path speech separation.
Authors
* <NAME> 2020
* <NAME> 2020
* <NAME> 2020
* <NAME> 2020
* <NAME> 2020
"""
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
import copy
from speechbrain.nnet.linear import Linear
from speechbrain.lobes.models.t... | |
import os
import time
import sqlite3
import json
import uuid as unique_id
from sqlite3.dbapi2 import Connection
from eth_utils.crypto import keccak
from hexbytes import HexBytes
from dataclasses import dataclass
from pydantic import BaseModel
from typing import Optional, Tuple, Sequence
from devtools import debug
fr... | |
= ['comment', 'creator', 'ddns_principal', 'name',
'reclaimable', 'target', 'view', 'zone']
_return_fields = ['extattrs', 'name', 'target', 'view']
_remap = {}
_shadow_fields = ['_ref']
class DnskeyRecord(InfobloxObject):
""" DnskeyRecord: DNS DNSKEY record object.
Corresponds to WAPI object 'record:dnskey'
T... | |
"""This module is part of the PeptideBuilder library,
written by <NAME>, <NAME>,
<NAME>, and <NAME>.
The PeptideBuilder module contains code to generate 3D
structures of peptides. It requires the Geometry module
(also part of the PeptideBuilder library), which contains
default bond lengths and angles for all amino aci... | |
will be novel. Defaults to false.
The following example shows that after you train a model on the Nations dataset,
you can score all entities w.r.t a given relation and tail entity.
>>> from pykeen.pipeline import pipeline
>>> result = pipeline(
... dataset='Nations',
... model='RotatE',
... )
>>> df = result... | |
values
for i in vals:
self._labels.append(str(i))
a = df.loc[(df[exposure] == i) & (df[outcome] == 1)].shape[0]
self._a_list.append(a)
b = df.loc[(df[exposure] == i) & (df[outcome] == 0)].shape[0]
self._b_list.append(b)
em, lcl, ucl, sd, *_ = odds_ratio(a=a, b=b, c=self._c, d=self._d, alpha=self.alpha)
self.odd... | |
<reponame>megaden/drf-shortcuts<gh_stars>1-10
# -*- coding: utf-8 -*-
"""serializers module of DRF (Django REST Framework) shortcuts package.
Functions:
- #generate_detail_view_name: Generates detail view name for a viewset which DRF uses to expose it.
- #generate_serializer_base_name: Generates base name to be used... | |
"""New style (fast) tag count annos
Use these for new projects.
"""
from mbf_genomics.annotator import Annotator
from typing import Dict, List
from pypipegraph import Job
from mbf_genomics import DelayedDataFrame
import numpy as np
import pypipegraph as ppg
import hashlib
import pandas as pd
import mbf_r
import rpy2.... | |
#!/usr/bin/env python
# Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Check that explain_binary_size_delta seems to work."""
import cStringIO
import sys
import unittest
import explain_binary_size_delt... | |
= (s >= 60)
if np.any(h[mask] != 23) or np.any(m[mask] != 59):
raise ValueError("invalid numeric value in ISO time")
return sec_from_hms(h,m,s)
########################################
def day_sec_from_iso(strings, validate=True, strip=False):
"""Day and second based on a parsing of the string in ISO date-time f... | |
display_name is not None:
details['displayName'] = display_name
client = cli_util.build_client('blockstorage', ctx)
result = client.copy_volume_backup(
volume_backup_id=volume_backup_id,
copy_volume_backup_details=details,
**kwargs
)
if wait_for_state:
if hasattr(client, 'get_volume_backup') and callable(geta... | |
<filename>lt_torch.py<gh_stars>1-10
import torch
import torchvision
class MyReshape(torch.nn.Module):
def __init__(self, *args):
super(MyReshape, self).__init__()
self.shape = args
def forward(self, x):
return x.view(*self.shape)
def one_shot_iterator(dataloader):
while True:
for data in dataloader:
yie... | |
<gh_stars>0
"""Contains code related to the RecMA module."""
# standard
import logging
import time
import datetime
# local
from modules.constants import RUN_SLEEP, BOTTOM, NOT_PARTICIPANT
import modules.constants as constants
from resolve.enums import MessageType
# globals
logger = logging.getLogger(__name__)
clas... | |
<gh_stars>0
import pysam
import os
import re
import sys
from collections import Counter
import pandas as pd
from functools import reduce
#python3
#pysam 0.15.0
def getindelpos(cigarstring):
insertionpositions = []
deletionpositions = []
#Given a cigar string, return positions of insertions and deletions
cigarstri... | |
["Select Animation Frame:",
dcc.Dropdown(
id='anim-frame-2D',
multi=False,
placeholder='Select an option '
'for Animation Frame')],
), ],
style={
'padding': 10}),
],
style={
'display': 'inline-block',
'width': '32%',
'float': 'right',
'fontSize': 14,
'font-family': 'Raleway',
'backgroundColor': '#ffffff... | |
user, the user state must be DISABLED . Use the DescribeUser action to confirm the user state.
Deleting a user is permanent and cannot be undone. WorkMail archives user mailboxes for 30 days before they are permanently removed.
See also: AWS API Documentation
Exceptions
:example: response = client.delete_user(
... | |
import copy
import sys
from collections import OrderedDict
from django.utils import timezone
from django.db import models
from django.db.models.fields import FieldDoesNotExist, related, Field
from django import dispatch
from django.utils import formats
from django.core.exceptions import ValidationError
try:
from ..... | |
<filename>chroma_core/models/filesystem.py
# Copyright (c) 2020 DDN. All rights reserved.
# Use of this source code is governed by a MIT-style
# license that can be found in the LICENSE file.
from toolz.functoolz import pipe, partial, flip
from django.db import models
from django.db.models import CASCADE
from chroma_... | |
<filename>main.py
#!/usr/bin/env python3
import collections
import json
import os
import pprint
import sys # sys нужен для передачи argv в QApplication
from pathlib import Path
from time import sleep, time
import pyperclip
import xmltodict
from PyQt5 import QtCore, QtGui, QtWidgets, uic
# from PyQt5.QtCore import *
#... | |
#!/usr/bin/env python
#-*- coding: utf-8 -*-
#
#
#
#import wxversion
#wxversion.select('2.8')
#import sqlite3
import handy_utils as HUD
import datetime
import pout
from db_related import TableAware, SQConnect, Tabling, DBConnect, TableSupport
################## Support Table ####################################
pou... | |
<reponame>beliaev-maksim/pyaedt
import os
try:
import pytest
except ImportError:
import _unittest_ironpython.conf_unittest as pytest
# Setup paths for module imports
from _unittest.conftest import scratch_path
import gc
# Import required modules
from pyaedt import Hfss
from pyaedt.generic.filesystem import Scratch
... | |
from __future__ import absolute_import, division, print_function
from libtbx import test_utils
import sys
from iotbx.pdb.tst_secondary_structure import pdb_1ywf_sample_strings, \
get_annotation
import iotbx.pdb
from iotbx.pdb.utils import all_chain_ids
from iotbx.pdb.secondary_structure import annotation
from six.move... | |
dest_files:
dpath = os.path.join(this_dest_folder, dfile)
if not os.path.isfile(dpath):
continue
dext = os.path.splitext(dfile)[1]
if dext == "zip":
# have to unzip to check
temppath = Utilities.unzip_to_temp(dpath,
tempfolder=tempfolder)
dest_sha256 = Utilities.sha_256(temppath, size=4096)
else:
dest_sha256... | |
!= 9999.0) & (abs(full_magnitude2) != 99.0) & (abs(full_magnitude2) != 9999.0) & (abs(full_magnitude2) != 99.0) & (abs(full_magnitude2) != 37.5) & (flag1 == 0) & (flag2 == 0) & (cm_flag1 == 0) & (cm_flag2 == 0) & (cm_s2n_r1 > 10) & (cm_s2n_r2 > 10) & (cm_t1/cm_t_err1 > 0.5) & (cm_t2/cm_t_err2 > 0.5) & (cm_t1/psfrec_t1 ... | |
# -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2018-2019 Fetch.AI Limited
#
# 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 ... | |
<filename>ren/preprocessing.py
import os, sys, glob
import tensorflow as tf
import pandas as pd
import numpy as np
from read_roi import read_roi_file, read_roi_zip
import skimage
import skimage.io
import skimage.draw
import skimage.transform
from tqdm import tqdm
from typing import Dict, Tuple, List, Callable
from jobl... | |
<reponame>sielenk-yara/PyCrop2ML
# coding: utf8
from __future__ import absolute_import
from pycropml.transpiler.errors import PseudoCythonTypeCheckError
from pycropml.transpiler.helpers import serialize_type
from Cython.Compiler import ExprNodes
from six.moves import zip
# based on pseudo
V = '_' # we don't really ty... | |
<gh_stars>1-10
import network
from replaybuffer import ReplayBuffer
import logger
import time
import gym
import numpy as np
import argparse
import os
import json
import datetime
import logging
import shutil
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from pathlib import Path
import torch
... | |
with -cov.fif or -cov.fif.gz.
cov : Covariance
The noise covariance matrix.
See Also
--------
read_cov
"""
cov.save(fname)
###############################################################################
# Prepare for inverse modeling
def _unpack_epochs(epochs):
"""Aux Function."""
if len(epochs.event_id) >... | |
1):
N, p, q, r, s = line(infile)
A = [((i * p + q) % r + s) for i in xrange(N)]
total = sum(A)
totalsum = [a for a in A]
for i in xrange(1, N):
totalsum[i] += totalsum[i - 1]
best = total
b = 0
for a in xrange(N):
if b < a:
b += 1
while b < N - 1 and getsum(a, b, total, totalsum) >= getsum(a,
b + 1, total... | |
<reponame>tkamata-test/ydk-py<gh_stars>0
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 ydk._core._dm_meta_info import ATTRIBUTE, REFERENC... | |
subset of G
utwi = copy.deepcopy(ut)
utwi.alpha.append([0, ut, 1])
utwi.beta.append([0, ut, 1])
sossp.insttree(utwi)
sogsp.insttree(utwi)
finished = False
# take a new element of the group.
indofg = 1
while not finished:
# get next element
while True:
nt = rand_generator(disc, classnum, qin)
if nt not in ... | |
#!/usr/bin/python
#############################################################################
#Package: stamp
#Updated by <NAME>
#Usage:
#generate mtDNA alignments for whole-genome sequencing data
#
##############################################################################
from argparse import ArgumentP... | |
GriddedPerm(Perm((1, 2, 0)), ((4, 6), (4, 6), (4, 6))),
GriddedPerm(Perm((0, 1, 2)), ((0, 0), (0, 0), (2, 2))),
GriddedPerm(Perm((0, 1, 2, 3)), ((2, 2), (2, 2), (2, 3), (2, 3))),
GriddedPerm(Perm((0, 1)), ((6, 4), (6, 4))),
GriddedPerm(Perm((1, 0)), ((6, 4), (6, 4))),
GriddedPerm(Perm((0, 1)), ((7, 7), (7, 7))),
... | |
26.3083064324413*m.b1051) +
0.434294481903252*log(1 + 303.950065669888*m.b1052) + 0.434294481903252*log(1 + 20.9149881537067
*m.b1053) + 0.434294481903252*log(1 + 88.1958391547073*m.b1054) + 0.434294481903252*log(1 +
18.1326602334317*m.b1055) + 0.434294481903252*log(1 + 11.0420408100848*m.b1056) +
0.434294481903... | |
8121,
8122,
8124,
8125,
8129,
8130,
8131,
8132,
8134,
8135,
8136,
8138,
8140,
8141,
8142,
8143,
8144,
8145,
8146,
8150,
8151,
8152,
8153,
8154,
8157,
8158,
8159,
8160,
8161,
8162,
8164,
8165,
8166,
8167,
8168,
8170,
8172,
8173,
8178,
8179,
8180,
8182,
8183,
8184,
8186,
8188,... | |
import csv
import errno
import json
import logging
import os
import shutil
import stat
import time
import traceback
from concurrent.futures import ThreadPoolExecutor, as_completed, wait
from datetime import datetime, timedelta, timezone
from random import randrange
import humanize
import requests
from django.conf impo... | |
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('created', models.DateTimeField(default=None, editable=False)),
('modified', models.DateTimeField(default=None, editable=False)),
('description', models.TextField(default='', blank=True)),
('active', models.BooleanFi... | |
"MsiFileCorrupted": {
"type": "integer",
"title": "MSI File Corrupted",
"description": "MSI file corrupted",
"order": 13
},
"MsiSendFail": {
"type": "integer",
"title": "MSI Send Fail",
"description": "MSI Send Fail",
"order": 21
},
"NewerInstalled": {
"type": "integer",
"title": "Newer Installed",
"desc... | |
if fileName:
self.file = str(fileName)
#self.filename = QFileDialog.getSaveFileName(self, 'Save File', '', ".xls")
self.wbk = xlwt.Workbook(encoding="utf-8")
self.sheet = self.wbk.add_sheet("sheet")
#self.add2(sheet)
self.heads_list = ["Energy(Mev)", "Ratio(1)", "Ratio(2)", "Atomic No(Z1)", "Atomic No(Z2)... | |
on the cluster, then applies operations (transformations & actions) to those datasets.
# MAGIC Driver programs access Spark through a SparkContext object, which represents a connection to a computing cluster. A Spark SQL context object (`sqlContext`) is the main entry point for Spark DataFrame and SQL functionality. A ... |
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