input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
weekly recurrence.
"""
return pulumi.get(self, "weekly_recurrence")
@weekly_recurrence.setter
def weekly_recurrence(self, value: Optional[pulumi.Input['WeekDetailsArgs']]):
pulumi.set(self, "weekly_recurrence", value)
@pulumi.input_type
class SharedPublicIpAddressConfigurationArgs:
def __init__(__self__, *,
i... | |
<gh_stars>1-10
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from keras import backend, constraints, initializers, layers, models, regularizers
from keras.backend import convert_inputs_if_ragged, maybe_convert_to_ragged
from keras.u... | |
#!/usr/bin/env python
from Errors import NoncriticalError, CriticalError
import sys
import numpy
import libsbml
import warnings
import misc
import math
import sympy
sbo_type2id = {'activator': 21,
'inhibitor': 20,
'enzyme': 14}
TIME_VARIABLE = 'SBML_MCA_TIME_VARIABLE'
MAX_MODEL_SIZE = 2500
class Model:
def __in... | |
occurrence base is a single document.
privates = {w for (w, base) in occurrenceBase.items() if len(base) == 1}
len(privates)
# ### Peculiarity of documents
#
# As a final exercise with words, lets make a list of all documents, and show their
#
# * total number of words
# * number of private words
# * the percentage o... | |
index
text_4.tStart = t # local t and not account for scr refresh
text_4.tStartRefresh = tThisFlipGlobal # on global time
win.timeOnFlip(text_4, 'tStartRefresh') # time at next scr refresh
text_4.setAutoDraw(True)
if text_4.status == STARTED:
# is it time to stop? (based on global clock, using actual start)
if t... | |
person_plugin_wrapper(*args, **kwargs):
person = person_from_environ(request.environ)
if person is None or person.uname is None:
log(f'person is None')
return page('error', summary = 'authentication failure',
message = f'Unrecognized user identity.')
if 'person' in inspect.getfullargspec(route.callback)[0]:
kwar... | |
string + WS + leading text
Shouldn't gobble"""
self.verify(" -- #attr $test = 'blarg' \n$test",
" -- \nblarg")
class DefDirective(OutputTest):
def test1(self):
"""#def without argstring"""
self.verify("#def testMeth\n1234\n#end def\n$testMeth",
"1234\n")
self.verify("#def testMeth ## comment\n1234\n#end def... | |
<gh_stars>0
#!/usr/bin/env python
"""Train a simple deep CNN on the CIFAR10 small images dataset.
GPU run command with Theano backend (with TensorFlow, the GPU is automatically used):
THEANO_FLAGS=mode=FAST_RUN,device=gpu,floatx=float32 python cifar10_cnn.py
It gets down to 0.65 test logloss in 25 epochs, and down t... | |
import os
from itertools import chain
from statistics import mean
import numpy as np
import pandas as pd
import torch
from torch.utils.data import TensorDataset
class ThymioState:
"""
Object containing all the agent information
:param state_dict
"""
def __init__(self, state_dict):
for k, v in state_dict.items(... | |
ordinary function/method templated function/method
# go through child elements, collecting ordinary args and possibly template params
template_params_list = [] # list of tuple, e.g. [('typename', 'T', ''), ('void (*)()', 'F', ''), ('int', 'N', '0')]
template_params_repr_list = [] # list of str, e.g. ['typename T', '... | |
many problems
# if (only_scope is not None):
new_scope = phil_object.get(only_scope)
scope_master = self.master_phil.get(only_scope)
fetched_scope = scope_master.fetch(source=new_scope)
#fetched_scope.show()
find_and_replace_scope(
current_phil=self.working_phil,
new_scope=fetched_scope,
scope_name=only_scope)... | |
JOIN
(SELECT
SVR_IP,
SVR_PORT,
VALUE1,
VALUE2,
GMT_CREATE
FROM
OCEANBASE.__ALL_SERVER_EVENT_HISTORY
WHERE
EVENT = 'minor merge finish'
AND (EFFECTIVE_TENANT_ID() = 1 OR VALUE1 = EFFECTIVE_TENANT_ID())) B
ON
A.SVR_IP = B.SVR_IP AND A.SVR_PORT = B.SVR_PORT AND A.VALUE1 = B.VALUE1 AND A.VALUE2 = B.VALUE2
ORD... | |
#!/usr/bin/env python
#pylint: disable=C0103
"""
This module provides business object class to interact with File.
"""
from __future__ import print_function
from WMCore.DAOFactory import DAOFactory
from dbs.utils.dbsExceptionHandler import dbsExceptionHandler
from sqlalchemy.exc import IntegrityError as SQLAlchemyInteg... | |
"""The WaveBlocks Project
Compute some observables like norm, kinetic and potential energy
of Hagedorn wavepackets. This class implements the mixed case
where the bra does not equal the ket.
@author: <NAME>
@copyright: Copyright (C) 2014, 2016 <NAME>
@license: Modified BSD License
"""
from functools import partial
f... | |
import copy
import gc
import pickle
import sys
import unittest
import warnings
import weakref
import inspect
import types
from test import support
_testcapi = support.import_module('_testcapi')
# This tests to make sure that if a SIGINT arrives just before we send into a
# yield from chain, the KeyboardInterrupt is... | |
frame must be None'
# Check sizing
total_title_height = self._frame_title.get_height(apply_padding=False)
assert button.get_height() <= total_title_height, \
f'{button.get_class_id()} height ({button.get_height()}) must be lower' \
f' than frame title height ({total_title_height})'
# Add frame to button kwargs
... | |
column + '_months'
days = column + '_days'
# Date time to unix timestamp
for feature in include_columns:
df_copy[feature] = pd.to_datetime(
df_copy[feature], infer_datetime_format=True, errors='coerce')
try:
df_copy[feature] = df_copy[feature].dt.tz_localize(None)
except:
pass
# calculate diffs
timeDiffs =... | |
<gh_stars>1-10
"""
Python Interchangeable Virtual Instrument Library
Copyright (c) 2012-2014 <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 limitat... | |
obj_dict.items():
piv_pos += cmds.xform(vtx, q=True, t=True, ws=True)
piv_pos = self.get_piv_pos(piv_pos)
#print 'Pivot COG :', piv_pos
if sid == 0 or sid ==4:
cmds.scale(add_scale[0], add_scale[1], add_scale[2], r=True, ws=True, p=piv_pos, smn=sym)
if sid == 1 or sid == 2 or sid == 5:
cmds.scale(add_scale[0], a... | |
try:
deployment = client.deployments.create(
blueprint_id,
deployment_id,
inputs=inputs,
visibility=visibility,
skip_plugins_validation=skip_plugins_validation,
site_name=site_name,
runtime_only_evaluation=runtime_only_evaluation,
labels=labels,
display_name=display_name
)
except (MissingRequiredDeploymentI... | |
des):
lines = self.lines
handled = True
# Create map to es2 function objects
es2funcs = {}
for f in des.es2.group:
cname = f.shortname
es2funcs[cname] = f
if des.name == 'uniform':
for t in ('float', 'int'):
for i in (1,2,3,4):
args = ', '.join(['v%i'%j for j in range(1,i+1)])
cname = 'uniform%i%s' % (i... | |
<gh_stars>1-10
#!python
# set PYSPARK_DRIVER_PYTHON=python
# set PYSPARK_DRIVER_PYTHON_OPTS=
# spark-submit --master local[7] --deploy-mode client SectionPerfTest.py
import gc
import scipy.stats, numpy
import time
import random
from LinearRegression import linear_regression
from pyspark.sql import SparkSession
from pys... | |
"""
Link: https://github.com/honglianghe/CDNet/blob/f436555539e140ff8bafa3c9f54cbc2550b7cebd/my_transforms.py
Author: <NAME>
"""
import torch
import random
from PIL import Image, ImageOps, ImageEnhance, ImageFilter
import numpy as np
import numbers
import collections
from skimage import morphology
import SimpleITK ... | |
def enterUnbound_type121_name(self, ctx):
pass
# Exit a parse tree produced by CSharp4Parser#unbound_type121_name.
def exitUnbound_type121_name(self, ctx):
pass
# Enter a parse tree produced by CSharp4Parser#generic_dimension_specifier.
def enterGeneric_dimension_specifier(self, ctx):
pass
# Exit a parse tr... | |
Z[zn] = fsxn.to_standard(Z_xr[zn])
if dzndc != -1:
P_deriv = P.deriv()
deriv_scale = dx_xr[0] / kc[0]
Z[dzndc] = fsxn.to_standard(
P_deriv.__call__(c_scaled) * deriv_scale
)
if (dzndz != -1):
Z[dzndz] = 1.
return numba_init_impl
# Defines iterate via a function factory - jitted implementation
def numba_ite... | |
import numpy as np
import ast
import sys
import json
from auxiliary_functions import SampleListToArray
import matplotlib
from matplotlib import rc
rc('text', usetex=True)
rc('font', **{'family': 'serif', 'serif': ['Computer Modern']})
matplotlib.rc('xtick', labelsize=30)
matplotlib.rc('ytick', labelsize=30)
import ... | |
import random
import numpy
from matplotlib import pyplot as plt
'''
INPUT VARIABLES
n: the number of active devices in the network
id_length: if given, all the binary id strings will be in certain length.
'''
def initialiseIDs():
'''
Given parameters n(the number of active devices in the network) and id_length(The ... | |
from __future__ import division
import os
from collections import OrderedDict
from future.utils import iteritems
import numpy as np
import scipy.stats
from scipy.integrate import cumtrapz
from scipy.interpolate import interp1d
from scipy.special import erf, erfinv
# Keep import bilby statement, it is necessary for s... | |
backColor[2]
pointColor = alpha + pointColor[0] * 256 * 256 + pointColor[1] * 256 \
+ pointColor[2]
# Make a call to the API, and save the result in a variable.
r = etapi.PerformCalibration(ctypes.c_int32(noPoints), \
ctypes.c_int32(location), ctypes.c_bool(randomizePoints), \
ctypes.c_bool(slowMode), ctypes.c_... | |
for gathering data. If None, there is no limit.
Returns
-------
None
"""
#Note: same beginning as gather_slices (TODO: consolidate?)
if comm is None: return # no gathering needed!
#Perform broadcasts for each slice in order
my_rank = comm.Get_rank()
arIndx = [slice(None, None)] * arToFill.ndim
arIndx[0:len... | |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# quick script for installing tap
#
##
import subprocess,re,os,shutil,sys
import base64
from src.core.tapcore import ssh_keygen
from src.core.tapcore import motd
from src.core.tapcore import set_background
import getpass
import sys
try:
import pexpect
except ImportError... | |
<reponame>camUrban/PteraSoftware
"""This module contains vortex class definitions, and useful aerodynamic functions.
This module contains the following classes:
LineVortex: This class is used to contain line vortices.
HorseshoeVortex: This class is used to contain horseshoe vortices.
RingVortex: This class is use... | |
Error on the observed nuv-u colour of a galaxy
:age:
Observed age of a galaxy, often calculated from the redshift i.e. at z=0.1 the age ~ 12.5. Must be in units of Gyr.
:get_c_one:
Function to return one colour prediction, maybe predict_c_one if not using lookup table, and lookup_col_one if using a lookup table
... | |
monitored > four times per day
nrow += 1
cell = self._merge_cells(table, nrow, 0, nrow + 1, 0)
text = 'Blood Glucose Level (BGL) monitored > four times per day'
self._add_column_name(cell, text, alignment='left', bold=True)
columns = [
'Day of admission',
'Day two of admission',
]
self._insert_subrows(table=t... | |
self.dropout1 = nn.Dropout(dropout)
self.dropout2 = nn.Dropout(dropout)
self.activation = _get_activation_fn(activation)
self.normalize_before = normalize_before
def with_pos_embed(self, tensor, pos: Optional[Tensor]):
return tensor if pos is None else tensor + pos
def forward_post(self,
src,
src_mask: Optio... | |
#!/usr/bin/env python
#
# analyse_solid_run.py: analyse and report on SOLiD sequencer runs
# Copyright (C) University of Manchester 2011-12,2019 <NAME>
#
########################################################################
#
# analyse_solid_run.py
#
##################################################################... | |
from copy import deepcopy
from itertools import product
# Internal format for formulas:
# Each subformula within a formula is a list
# For example, (p or ¬p) parses as [['p'], '˅', ['¬',['p']]]
# Parser accepts things such as "(if p then q)" and "if p then q"
# Unary connectives go out before the formula they apply t... | |
import pygame, random, math, queue, os
from dataclasses import dataclass, field
from typing import Any
@dataclass(order=True)
class PrioritizedItem():
priority: int
item: Any=field(compare=False)
pygame.init()
clock = pygame.time.Clock()
size = (600, 600)
screen = pygame.display.set_mode(size)
#C... | |
r"""
Yangians
AUTHORS:
- <NAME> (2013-10-08): Initial version
"""
#*****************************************************************************
# Copyright (C) 2013 <NAME> <tc<EMAIL> at <EMAIL>>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public L... | |
copy : bool, default False
Whether to ensure that the returned value is a not a view on
another array. Note that ``copy=False`` does not *ensure* that
``to_numpy()`` is no-copy. Rather, ``copy=True`` ensure that
a copy is made, even if not strictly necessary.
Returns
-------
numpy.ndarray
See Also
--------
... | |
def __init__(self, document_data):
self.document_data = document_data
self.field_paths = []
self.deleted_fields = []
self.server_timestamps = []
self.array_removes = {}
self.array_unions = {}
self.set_fields = {}
self.empty_document = False
prefix_path = FieldPath()
iterator = self._get_document_iterator(pre... | |
<gh_stars>0
from abc import ABC, abstractmethod
from datetime import datetime, timedelta
from enum import Enum
import logging
import os
from os import PathLike
from pathlib import Path
import sys
from textwrap import indent
from typing import Iterator, List, Tuple, Union
if sys.version_info >= (3, 8):
from importlib ... | |
# flake8: noqa
from contextlib import ExitStack
import click
from omegaconf import OmegaConf
from pfb.workers.main import cli
import pyscilog
pyscilog.init('pfb')
log = pyscilog.get_logger('SPIFIT')
@cli.command()
@click.option('-image', '--image', required=True,
help="Path to model or restored image cube.")
@click.o... | |
<reponame>webclinic017/gs-quant
"""
Copyright 2019 <NAME>.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to... | |
= ObjectTypeClass
self.ObjectType = ObjectType
self.ObjectLabel = ObjectLabel
self.SlantPlane = SlantPlane
self.GroundPlane = GroundPlane
self.Size = Size
self.Orientation = Orientation
if isinstance(Articulation, str):
self.Articulation = CompoundCommentType(Value=Articulation)
elif isinstance(Articulation,... | |
<filename>cybox/bindings/network_socket_object.py
# Copyright (c) 2017, The MITRE Corporation. All rights reserved.
# See LICENSE.txt for complete terms.
import sys
from mixbox.binding_utils import *
from . import cybox_common
from . import socket_address_object
class SocketOptionsType(GeneratedsSuper):
"""The Soc... | |
import click
import ast
import requests
import pandas as pd
import numpy as np
from pysradb.sraweb import SRAweb
import requests
import pysam
import re
import pyfastx
import pkg_resources # part of setuptools
import json
import warnings
import sys
import os
from .run_workflow import make_snakes
# Allows passing string... | |
headers = dingtalkyida__1__0_models.GetPlatformResourceHeaders()
return await self.get_platform_resource_with_options_async(request, headers, runtime)
def get_platform_resource_with_options(
self,
request: dingtalkyida__1__0_models.GetPlatformResourceRequest,
headers: dingtalkyida__1__0_models.GetPlatformResource... | |
'%d%d' % (m, i)
if is_prime(int(chk)) is False:
continue
chk = '%d%d' % (i, m)
if is_prime(int(chk)) is False:
continue
chk = '%d%d' % (j, m)
if is_prime(int(chk)) is False:
continue
chk = '%d%d' % (m, j)
if is_prime(int(chk)) is False:
continue
chk = '%d%d' % (k, m)
if is_prime(int(chk)) is False:
contin... | |
<gh_stars>0
non_sparse_consts = [
{"algorithm": "zlib",
"name": "zinflate_lengthStarts",
"size": "L",
"array": [ 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 15, 17, 19, 23, 27, 31,
35, 43, 51, 59, 67, 83, 99, 115, 131, 163, 195, 227, 258 ]},
{"algorithm": "zlib",
"name": "zinflate_lengthExtraBits",
"size": "L",
"array": ... | |
<gh_stars>0
# Copyright (c) 2018 NVIDIA Corporation
"""
RNN-based encoders
"""
from __future__ import absolute_import, division, print_function
from __future__ import unicode_literals
import tensorflow as tf
from tensorflow.contrib.cudnn_rnn.python.ops import cudnn_rnn_ops
from OpenSeq2Seq.open_seq2seq.parts.rnns.uti... | |
= Var(within=Reals,bounds=(0,45),initialize=0)
m.x1877 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1878 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1879 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1880 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1881 = Var(within=Reals,bounds=(0,45),initialize=0... | |
<reponame>michaelansel/evennia
"""
Account (OOC) commands. These are stored on the Account object
and self.caller is thus always an Account, not an Object/Character.
These commands go in the AccountCmdset and are accessible also
when puppeting a Character (although with lower priority)
These commands use the account_... | |
the gobbli download directory if it doesn't already exist there.
Stream the download to avoid running out of memory.
Args:
url: URL for the file.
filename: If passed, use this as the filename instead of the best-effort one
determined from the URL.
Returns:
The path to the downloaded file.
"""
if filename is ... | |
data.
"""
import torch.nn as nn
import torch.nn.functional as F
simple_model = nn.Sequential(
nn.Conv2d(3, 8, kernel_size=3, stride=1, padding=1),
nn.MaxPool2d(2, 2)
)
"""Refer to [Sylvian's post](https://sgugger.github.io/convolution-in-depth.html) for an explanation of `kernel_size`, `stride` and `padding`. """
... | |
<gh_stars>100-1000
import hail as hl
from hail.expr.expressions import expr_float64, expr_numeric, analyze
from hail.typecheck import typecheck, oneof, sequenceof, nullable
from hail.utils import wrap_to_list, new_temp_file
@typecheck(weight_expr=expr_float64,
ld_score_expr=expr_numeric,
chi_sq_exprs=oneof(expr_flo... | |
block devices that should
be detached from the instance.
:param destroy_disks: Indicates if disks should be destroyed
:param migrate_data: implementation specific params
"""
raise NotImplementedError()
def cleanup(self, context, instance, network_info, block_device_info=None,
destroy_disks=True, migrate_data=No... | |
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 1, 2017
Updated Mon Oct 22, 2018
@author: <EMAIL>
"""
import numpy as np
import os
import EXOSIMS.MissionSim as MissionSim
import sympy
from sympy.solvers import solve
import scipy.integrate as integrate
import scipy.interpolate as interpolate
import scipy.optimize as op... | |
= []
for item in armor:
if item != {}:
item_details = []
item_name = item_name_formatter(item["name"])
rarity = item["rarity"].capitalize()
enchants = enchant_formatter(item["attributes"]["enchantments"])
item_details.append(item_name)
item_details.append(rarity)
item_details.append(enchants)
item... | |
equipment: a list of dictionaries specifying which equipment objects should be constructed
activities: list of dictionaries specifying which activities should be performed during the simulation
Each of the values the sites and equipment lists, are a dictionary specifying "id", "name",
"type" and "properties". Here ... | |
# coding: utf-8
# Copyright (c) 2016, 2021, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may ch... | |
a "*" marker, indicating this is a place where the left
# and right pages line up. Get the lowest y coordinate of a change
# above this point and the highest y coordinate of a change after
# this point. If there's no overlap, we can split the PDF here.
try:
y1 = max(b["y"]+b["height"] for j, b in enumerate(changes... | |
-> Tuple[Point, ...]:
"""Return a tuple of labelled points, in the order they were labelled."""
self._fix_array()
return tuple(point for point in self._points if not point.isnan())
def _fix_array(self):
"""Fix PointArray after nodes have been added or removed.
This updates the PointArray as required by comparin... | |
<gh_stars>10-100
# Copyright 2017 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 requir... | |
import itertools
import logging
import os.path as osp
import tempfile
from collections import OrderedDict
import mmcv
import numpy as np
import pycocotools
from mmcv.utils import print_log
from pycocotools.coco import COCO
from pycocotools.cocoeval import COCOeval
from terminaltables import AsciiTable
from mmdet.core... | |
import cStringIO as StringIO
import logging
# yes, i know this is evil
from spitfire.compiler.ast import *
class CodegenError(Exception):
pass
class CodeNode(object):
def __init__(self, src_line=None):
self.src_line = src_line
self.child_nodes = []
def append_line(self, line):
self.append(CodeNode(line))
... | |
<gh_stars>100-1000
from __future__ import absolute_import, division, print_function
from libtbx.test_utils import show_diff
from libtbx import easy_run
import sys
def run_and_compare(commands, expected_output):
def digest(lines):
result = []
for line in lines:
if (line.strip().startswith("Change of basis: ")): con... | |
{'заведение': 3},
{'зависимость': 1},
{'идти': 1},
{'иметься': 2},
{'интересный': 1},
{'конкуренция': 1},
{'купить': 4},
{'магазин': 9},
{'мало': 1},
{'менее': 1},
{'место': 1},
{'многие': 1},
{'наиболее': 2},
{'небольшой': 1},
{'новый': 1},
{'определять': 1},
{'отношение': 1},
{'очень': 2},
{'поверит... | |
"""
functions to handle data loading
TO DO:
data augmentation for xyz coordinates
data augmentation by adding gaussian noise
"""
import numpy as np
import copy
import tensorflow as tf
from collections import Counter
from numpy.linalg import norm
class Data_Loader:
input_mean = None
input_std = None
output_m... | |
import sys
from basic import *
import tcr_distances
import parse_tsv
import numpy as np
from scipy.cluster import hierarchy
from scipy.spatial import distance
import util
import html_colors
from all_genes import all_genes
with Parser(locals()) as p:
#p.str('args').unspecified_default().multiple().required()
p.str('... | |
"""Beam lifetime calculation."""
import os as _os
import importlib as _implib
from copy import deepcopy as _dcopy
import numpy as _np
from mathphys.functions import get_namedtuple as _get_namedtuple
from mathphys import constants as _cst, units as _u, \
beam_optics as _beam
from . import optics as _optics
if _impl... | |
import os
import h5py
import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler
def put_static_first(data, col, static_col):
"""Simple function putting the static columns first in the data.
Args:
data: Dict with a data array for each split.
col: Ordered list of the columns in the d... | |
<reponame>djhohnstein/Mythic
# -*- coding: utf-8 -*-
import peewee as p
import datetime
from app import mythic_db
import app.crypto as crypto
import json
from uuid import uuid4
def gen_uuid():
return str(uuid4())
class Operator(p.Model):
light_config = json.dumps(
{
"background-color": "white",
... | |
# -*- coding: utf-8 -*-
from collections import Sequence
from datetime import datetime
try:
from urlparse import urljoin
except ImportError:
from urllib.parse import urljoin # NOQA
from xively.models import (
Datapoint,
Datastream,
Feed,
Key,
Location,
Permission,
Resource,
Trigger,
Unit,
Waypoint,
)
c... | |
# if we don't have urls, but the service type contains OGC: .. , download or website, then we have an error
# TODO: document
if (protocolstxt.find("OGC:") > -1 or protocolstxt.find("download") > -1 or protocolstxt.find("website") > -1) and nrurls == 0:
score = 0
# checkid = 6, so the index in the matrix is: 5
resu... | |
[mRNA_AC,protein_id,protein_seq]; values = string.join(values,'\t')+'\n'; datar.write(values)
datad.write(mRNA_AC+'\t'+string.replace(cds_location,'..','\t')+'\n')
translated_mRNAs[mRNA_AC]=[]
### Parse new line
#>ENST00000400685 cdna:known supercontig::NT_113903:9607:12778:1 gene:ENSG00000215618
t= string.sp... | |
/ 2
phi["C"] = - np.pi / 2
phi["O"] = - np.pi / 2
# Define init_values
# Estimate the mean helix axis...
nv_dict = {}
for i in xyzs_dict.keys(): nv_dict[i] = estimate_axis(xyzs_dict[i])
nv_array = np.array( [ v for v in nv_dict.values() ] )
nv = np.nanmean(nv_array, axis = 0)
nv /= np.linalg.norm(nv)
# Calc... | |
from utils import UtilMethods as Utils
from pipeprediction import Extractor, DimensionHandler, Loader
import re, os
import numpy as np
import pandas as pd
from sklearn.model_selection import GridSearchCV, train_test_split, StratifiedKFold
from sklearn import svm
from sklearn.gaussian_process import GaussianProcessClass... | |
retcode
self.signal_message = message
return retcode, message
# parse process log
def load_process_log( self ):
Msg.fout( self.process_log, "dbg" )
with open( self.process_log , "r" ) as my_flog:
try:
for my_line in my_flog:
Msg.user("Load: %s" % my_line , "PROCESS-LINE")
self.load_process_line( my_line )
... | |
<reponame>ZJONSSON/fasteignamat-functions<gh_stars>1-10
# -*- coding: utf-8 -*-
#Fasteignamat.py - functions for scraping info from Fasteignamat Íslands (www.skra.is)
#For fastanr.:
# Returns general info
# Return extended info
# Returns land info and landnr
#For landnr.:
# Return geo info from skra.is geoserver + ISN... | |
60) & (datset_churn['MonthlyCharges'] <= 80 ), 'MonthlyChargesCat'] = 3
datset_churn.loc[(datset_churn['MonthlyCharges'] > 80) & (datset_churn['MonthlyCharges'] <= 100 ), 'MonthlyChargesCat'] = 4
datset_churn.loc[ datset_churn['MonthlyCharges'] > 100, 'MonthlyChargesCat'] = 5
#Checking the categories
datset_churn[['Mo... | |
<reponame>ruby-compiler-survey/pypy
import py, os, sys
from .support import setup_make
currpath = py.path.local(__file__).dirpath()
test_dct = str(currpath.join("datatypesDict.so"))
def setup_module(mod):
setup_make("datatypesDict.so")
class AppTestDATATYPES:
spaceconfig = dict(usemodules=['_cppyy', '_rawffi', 'i... | |
"""
Tests the inference module.
"""
# pylint: disable=protected-access
# pylint: disable=invalid-name
# pylint: disable=missing-docstring
# pylint: disable=too-many-public-methods
import unittest
from numpy.testing import assert_array_almost_equal
import numpy as np
from pyugm.factor import DiscreteFactor, Discrete... | |
None ) :
o0OO0O0OO0oO0 = ( "sudo iptables -A POSTROUTING -t mangle -p tcp -j " + "CHECKSUM --checksum-fill; " )
if 9 - 9: oO0o % i11iIiiIii / Oo0Ooo
o0OO0O0OO0oO0 += ( "sudo iptables -A POSTROUTING -t mangle -p udp -j " + "CHECKSUM --checksum-fill; " )
if 20 - 20: oO0o * O0 + I11i - OoooooooOO . I11i
o0OO0O0OO0oO0... | |
find the same functionality in tehir python version)
# check the new versions of these libraries to see if they added more capabilities
# if coords1==coords2: print('same....')
t0 = datetime.datetime.now()
if job_num==-1:
job_num = 0
parallel = False
else:
parallel = True
tqdm_kwargs['position'] = job_num
... | |
"""
The :class:`Structure` object is a collection of atoms in a periodic box.
The mandatory inputs are the cell vectors of the box and the chemical species
and *Cartesian coordinates* of the atoms.
The atoms are automatically folded back into the primary cell, so the
input coordinates don't need to lie inside the box.
... | |
<gh_stars>1-10
#!/usr/bin/env python
# ex:ts=4:sw=4:sts=4:et
# -*- tab-width: 4; c-basic-offset: 4; indent-tabs-mode: nil -*-
#
# Copyright (C) 2003, 2004 <NAME>
# Copyright (C) 2003, 2004 <NAME>
# Copyright (C) 2003 - 2005 Michael 'Mickey' Lauer
# Copyright (C) 2005 <NAME>
# Copyright (C) 2005 ROAD GmbH
# Copyright (C... | |
if r.has_surface():
cr,cg,cb = r.surface_piece.color[:3] #r.color[:3]
r.surface_piece.color = ( cr, cg, cb, 1.0 )
r.surface_piece.displayStyle = r.surface_piece.Mesh
r.surface_piece.lineThickness = 1.0
def SelectAllRegions ( self ) :
smod = self.CurrentSegmentation()
if smod == None : return
sel_regs = set... | |
<reponame>marcus-h/python-keyring-keyutils
"""A high-level interface for reading and writing BER/DER data.
Currently, only a few ASN.1 types are supported. This implementation
is based on the rules that are specified in X.690 (08/2015).
Note: there are probably better BER readers/writers out there - I just wrote
this... | |
<filename>pyfolio/utils.py<gh_stars>0
#
# Copyright 2018 Quantopian, 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... | |
# -*- coding: utf-8 -*-
# Copyright (c) 2015, C0D1G0 B1NAR10 and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe.model.document import Document
from frappe.model.mapper import get_mapped_doc
from frappe.utils import cint, flt
import shuti... | |
__author__ = "<NAME>"
__maintainer__ = "<NAME>"
__license__ = "MIT"
__version__ = "0.2.5"
__status__ = "Prototype"
__name__ = "QmlReader"
# last edited: 2020-04-16
import lxml
from lxml import objectify
import logging
from qmlReader import questionnaire
import re
class QmlReader:
"""
Class for Reading and extract... | |
"""
aav.readers
~~~~~~~~~~~
:copyright: (c) 2018 <NAME>
:copyright: (c) 2018 Leiden University Medical Center
:license: MIT
"""
from functools import reduce
from math import log10
from typing import Optional, List, Type, Tuple, Set
import logging
from .variation import (Variant, InfoFieldNumber, InfoField, Genotype,
... | |
= 0x838F
FancyLedB144 = 0x8390
FancyLedB145 = 0x8391
FancyLedB146 = 0x8392
FancyLedB147 = 0x8393
FancyLedB148 = 0x8394
FancyLedB149 = 0x8395
FancyLedB150 = 0x8396
FancyLedB151 = 0x8397
FancyLedB152 = 0x8398
FancyLedB153 = 0x8399
FancyLedB154 = 0x839A
FancyLedB155 = 0x839B
FancyLedB156 = 0x839C
FancyLedB15... | |
We do a couple sanity checks in here to be sure we can format a valid
AdbMessage for our underlying AdbConnection, and then send it. This method
can be used to send any message type, and doesn't do any state tracking or
acknowledgement checking.
Args:
command: The command to send, should be one of 'OKAY', 'WRTE',... | |
facility treatment type dictionary
treat_dict = {'raw discharge': 'wastewater_no_treatment',
'primary (45mg/l< bod)': 'wastewater_primary_treatment',
'advanced primary': 'wastewater_advanced_treatment',
'secondary wastewater treatment': 'wastewater_secondary_treatment',
'secondary': 'wastewater_secondary_treatment... | |
"Huawei CLT-L09",
"Huawei CLT-L29",
"Huawei CLT-TL00",
"Huawei CLT-TL01",
"Huawei ANE-LX1",
"Huawei ANE-LX2",
"Huawei ANE-LX3",
"Huawei CLT-L09",
"Huawei CLT-L29",
"Huawei HW-02L",
"Huawei VOG-AL00",
"Huawei VOG-AL10",
"Huawei VOG-L04",
"Huawei VOG-L09",
"Huawei VOG-L29",
"Huawei VOG-TL00",
"Huawei MAR-... | |
<reponame>ethers/pyethereum
import rlp
from opcodes import opcodes
import utils
import time
import blocks
import transactions
import trie
import sys
import logging
import json
import time
logger = logging.getLogger(__name__)
class PBLogger(object):
log_pre_state = True # dump storage at account before execution
l... | |
<filename>dit/abstractdist.py
"""
Abstract implementation of dense random vectors.
"""
import itertools
import numpy as np
__all__ = (
'AbstractDenseDistribution',
'distribution_constraint',
'brute_marginal_array',
'get_abstract_dist',
)
class AbstractDenseDistribution(object):
"""
An abstract, dense distrib... | |
the module
To print customized extra information, you should reimplement
this method in your own modules. Both single-line and multi-line
strings are acceptable.
"""
return ''
def __repr__(self):
# We treat the extra repr like the sub-module, one item per line
extra_lines = []
extra_repr = self.extra_repr()
... |
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