input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
<filename>qcodes/data/data_array.py<gh_stars>0
from typing import Dict, Any, Optional
import numpy as np
import collections
from qcodes.utils.helpers import DelegateAttributes, full_class, warn_units
import xarray as xr
class DataArray(DelegateAttributes):
"""
A container for one parameter in a measurement loop.... | |
import calendar, json
from urllib.parse import urlparse
import requests
from datetime import date, time, datetime, timedelta
from django.db import models
from django.utils.translation import gettext_lazy as _
from django.contrib.auth.models import User
from django.core.validators import URLValidator
from django.core.e... | |
1
if dir_down:
row += 1
else:
row -= 1
return "".join(result)
def rot13(word, **kwargs):
'''
Case Sensetive
Support Numbers and Symbols But Not Work on Them (Under Maintaince)
'''
result = ""
for v in word:
c = ord(v)
if c >= ord('a') and c <= ord('z'):
if c > ord('m'):
c -= 13
else:
c += 13
elif ... | |
<gh_stars>0
# -*- coding: UTF-8 -*-
#############################################
## (C)opyright by <NAME>, 2008 ##
## All rights reserved ##
#############################################
import cgi
import copy
import inspect
import logging
import os
import os.path
import re
import string
import sys
import types
impor... | |
def list_cases_with_http_info(self, request):
"""查询工单列表接口
查询工单列表接口
:param ListCasesRequest request
:return: ListCasesResponse
"""
all_params = ['search_key', 'label_id_list', 'app_key', 'incident_id', 'query_start_time', 'query_end_time', 'status', 'incident_status', 'x_customer_id', 'x_customer_name', 'group_... | |
Constraint(expr=m.x555*m.x2515 + m.x1180*m.x2521 + m.x1805*m.x2527 + m.x2430*m.x2533 <= 8)
m.c2449 = Constraint(expr=m.x556*m.x2515 + m.x1181*m.x2521 + m.x1806*m.x2527 + m.x2431*m.x2533 <= 8)
m.c2450 = Constraint(expr=m.x557*m.x2515 + m.x1182*m.x2521 + m.x1807*m.x2527 + m.x2432*m.x2533 <= 8)
m.c2451 = Constraint(exp... | |
<reponame>fractalego/dgt
import os
import random
import torch
from gensim.models import KeyedVectors
from parvusdb import create_graph_from_string
from parvusdb.utils.code_container import DummyCodeContainer
from parvusdb.utils.match import Match
from parvusdb.utils.match import MatchException
from dgt.graph import... | |
<reponame>ram8647/gcb-mobilecsp
# Copyright 2016 Mobile CSP Project. 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
#
# Un... | |
or more spectral indices (indices are added as bands) for an image
collection.
.. deprecated:: 0.3.0
Use :func:`spectralIndices()` instead.
Tip
----------
Check more info about the supported platforms and spectral indices in the
:ref:`User Guide<Spectral Indices Computation>`.
Parameters
----------
self : ... | |
but no private key file configured', str(e))
# outstanding queury cache should still be empty
self.assertEqual(session.get('_saml_outstanding_queries',{}), {})
def test_Saml_handle_discovery_response(self):
session_id = 'a0123456789abcdef0123456789abcdef'
tmp_sp_config = copy.deepcopy(sp_config)
entity_id = 'htt... | |
" + sc.Name + " failed: " + process_stderr)
return [-1]
elif sc.Controller == "upstart":
(process_stdout, process_stderr, retval) = Process(
[upstart_start_path, sc.Name])
if retval is not 0:
Print("Error: " + upstart_start_path +
" failed: " + process_stderr, file=sys.stderr)
LG().Log(
'ERROR', "Error: " + u... | |
so
# perhaps it isn't the right thing to do. Also, meh
u_psi_rot_real = np.real(np.exp(-1j*rho) * u_psi)
popt, pcov = curve_fit(func_qu,psi,u_psi_rot_real)
return popt[0:2]
# strategy (1/2/3 slice) -- fracpol -- leakage/posang error -- parsep -- snr
# p m b i k
onxpol = np.zeros([4,fraclinpol.size,2,parsep.size,sn... | |
<filename>appuselfbot.py
import collections
import datetime
import math
import subprocess
import asyncio
import random
import glob
import gc
import psutil
import sys
import re
from datetime import timezone
from cogs.utils.allmsgs import *
from discord_webhooks import *
from cogs.utils.checks import *
from discord.ext i... | |
Solver(name='mc', bootstrap_with=[[1], [2], [3]])
>>> s.add_atmost(lits=[1, 2, 3], k=2, no_return=False)
False
>>> # the AtMostK constraint is in conflict with initial unit clauses
"""
if self.solver:
res = self.solver.add_atmost(lits, k, no_return)
if not no_return:
return res
def append_formula(self, formu... | |
field.fid in mappings
inst = mappings[field.fid]
# If this is a virtual mapping then we can skip it if we
# are a post close operation because this is the end of a context
if inst.is_virtual() and self.kind == POST_CLOSE_OP_KIND:
continue
if not req.logical_node.perform_physical_close(depth, field, self,
req, in... | |
+ str(number_of_clusters) + "\n")
log_file.write("Average cluster size: " + str(avg_size_of_cluster) + "\n")
log_file.write("Standard deviation cluster size: " + str(std_size_of_cluster) + "\n")
log_file.write("Noise percentage: " + str(noise_percentage) + "\n")
log_file.write("Percentage of all unknown connections... | |
<filename>trident/optims/pytorch_losses.py<gh_stars>0
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numbers
import sys
from typing import Callable, Any
from tqdm import tqdm
import builtins
import math
from math import *
import string
import numpy ... | |
0.45787382, 0.55902845],
[0.4123755, 0.45249655, 0.55598654],
[0.41653307, 0.44715887, 0.55286034],
[0.42074398, 0.44186248, 0.54965225],
[0.42500442, 0.43660906, 0.54636471],
[0.4293108, 0.43140027, 0.54300022],
[0.4336598, 0.42623771, 0.53956127],
[0.43804833, 0.42112299, 0.5360504],
[0.44247353, 0.41605769, ... | |
<filename>src/onevision/cv/imgproc/transformation/affine.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""An affine transformation is any transformation that preserves collinearity
(i.e., all points lying on a line initially still lie on a line after
transformation) and ratios of distances (e.g., the midpoint of a ... | |
<filename>sam/tweeter/app.py
import json
import io
import datetime
import os
import logging
import boto3
import pandas
import numpy
import altair
from shared import S3_scraper_index
from twitter_shared import TwitterAPI
from plot_shared import get_chrome_driver, plot_key_ni_stats_date_range, plot_points_average_and_t... | |
<reponame>tristan-j-wood/gap-train-1
import numpy as np
from ase.calculators.dftb import Dftb
from gaptrain.utils import work_in_tmp_dir
from gaptrain.log import logger
from gaptrain.exceptions import MethodFailed, GAPFailed
from gaptrain.gtconfig import GTConfig
from subprocess import Popen, PIPE
import os
ha_to_ev =... | |
"""The Latticework AmberOS component."""
from __future__ import annotations
import asyncio
from collections.abc import Callable
from datetime import timedelta
import logging
from typing import Any
from homeassistant.core import HomeAssistant, ServiceCall, callback
from homeassistant.config_entries import ConfigEntry
... | |
hist[0][np.argmax(hist[1])]
self.preview3DViewer.volumeviewer.setLevels([max, hist[0][-1]])
def onManualCenter(self, active):
"""
Activates the manual center portion of the ProjectionViewer.
This is connected to the corresponding toolbar signal
Parameters
----------
active : bool
Boolean specifying to activa... | |
Assert that the returned page shows the page submitted.
self.assertContains(
response,
'Submitted',
status_code=200,
html=False,
)
# Assert that the returned page shows the guardian name.
self.assertContains(
response,
'Guardian Student',
status_code=200,
html=False
)
# Assert that the student slip has ... | |
+ 1, l, int(spec_matrix[z, c, l])))
del spec_matrix
return spectrum
def _fpgrowth_filter(concept, winlen, max_c, min_neu):
"""
Filter for selecting closed frequent items set with a minimum number of
neurons and a maximum number of occurrences and first spike in the first
bin position
"""
keep_concepts = len(
... | |
<reponame>namnamir/21-Card-Game<gh_stars>0
import deck
import players
from input import get_text as get_text
from input import get_number as get_number
import config
from colored import fg, bg, attr
from terminaltables import SingleTable
play = {}
status = ['Stand', 'Hit', 'Bust', 'Split']
# print the hand
def pri... | |
import unittest
from unittest.mock import patch
from gym_powerworld.envs import voltage_control_env
# noinspection PyProtectedMember
from gym_powerworld.envs.voltage_control_env import LOSS, \
MinLoadBelowMinGenError, MaxLoadAboveMaxGenError, OutOfScenariosError, \
MIN_V, MAX_V, MIN_V_SCALED, MAX_V_SCALED, _scale_vol... | |
#python
'''
This file serves to declutter plasmid_map_viewer.py by adding detailed functionality, specifically on adding visuals
to the Plasmid Circle for specific parts (promoter, terminator, CDS, etc).
Consider: https://sbolstandard.org/wp-content/uploads/2017/04/SBOL-Visual-2.1.pdf
'''
import math
import logging
... | |
<reponame>dangervon/neutron<gh_stars>0
# Copyright (c) 2015 Red Hat Inc.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... | |
validating any provided loading and
runtime contexts, and considering all Workflow steps if applicable, or the single application otherwise.
:param package_dict: package content representation as a json dictionary.
:param package_name: name to use to create the package file.
:param data_source: identifier of the d... | |
#!/usr/bin/env python3
"""scan2pdf
Usage:
scan2pdf -L
scan2pdf --create-configuration DEVICE [CONFIG]
scan2pdf [--debug] [-C CONFIG] DEVICE TARGET
Options:
-L, --list-devices show available scanner devices
DEVICE device to use for scanning
TARGET target filename for scan
CONFIG configuration file
-C CONFIG, ... | |
from src.PhaseIdentification.common import *
from sklearn.cluster import AgglomerativeClustering, KMeans
from sklearn_extra.cluster import KMedoids
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import silhouette_samples, silhouette_score
from sklearn.mixture import GaussianMixture
import seaborn... | |
result.e != None:
raise result.e
raise TApplicationException(TApplicationException.MISSING_RESULT, "get_row failed: unknown result");
def get_row_as_arrays(self, ns, name, row):
"""
Alternative interface using array as cell
Parameters:
- ns
- name
- row
"""
self.send_get_row_as_arrays(ns, name, row)
retur... | |
<reponame>abderrahmane8/ByRequests<gh_stars>1-10
# UPDATED 2018-10-04
chrome_ua = [
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/60.0.3112.113 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/60.0.3112.90 Safari/537.36",... | |
Ohio",3714),
("Mount Pleasant village, Ohio",420),
("Mount Repose CDP, Ohio",4446),
("Mount Sterling village, Ohio",1988),
("Mount Vernon city, Ohio",16669),
("Mount Victory village, Ohio",590),
("Mowrystown village, Ohio",353),
("Mulberry CDP, Ohio",3772),
("Munroe Falls city, Ohio",5065),
("Murray City village, Ohio"... | |
<reponame>google-cloud-sdk-unofficial/google-cloud-sdk
# -*- coding: utf-8 -*- #
# Copyright 2019 Google LLC. 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://w... | |
use_stdin:
write('\n'.join(diff))
return exit_code, diff
def compute_unified_diff(filename, content2, **kwargs):
# type: (str, bytes, **Any) -> Tuple[int, Iterable[str]]
diff = () # type: Iterable[str]
exit_code = ERROR
kw = kwargs.copy()
if 'n' not in kwargs:
# zero context lines
kw['n'] = 0
try:
content1... | |
# coding=utf-8
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -----------------------------------------------------... | |
#
# Copyright (c) 2018, Intel Corporation
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# Redistributions of source code must retain the above copyright notice, this
# list of conditions and t... | |
of the SMTP credential.
:param UpdateSmtpCredentialDetails update_smtp_credential_details: (required)
Request object for updating a SMTP credential.
:param str if_match: (optional)
For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match`
parameter to the value of the etag ... | |
trainers=2)
self.run_params = {
'sync_mode': 'async',
'cpu_num': 2,
'num_threads': 2,
'slice_var_up': False,
'enable_dc_asgd': False,
'split_method': True,
'runtime_split_send_recv': True,
'geo_sgd': True,
'wait_port': True,
'use_hierarchical_allreduce': False,
'push_nums': 25
}
self.test_ctr_2ps_2tr_asyn... | |
"GMP",
"RKSW" : "",
"FMCZ" : "DZA",
"FMCV" : "AJN",
"GOGS" : "CSK",
"YSHK" : "MJK",
"FMCN" : "YVA",
"FMCH" : "HAH",
"FMCI" : "NWA",
"GOGG" : "ZIG",
"DNIM" : "QOW",
"DNIL" : "ILR",
"DNIB" : "IBA",
"ZSCN" : "KHN",
"ZSCG" : "CZX",
"KPLN" : "PLN",
"BIKR" : "SAK",
"LRCV" : "CRA",
"OAUZ" : "UND",
"BIKF" : ... | |
== (4, 4, 3)
v1 = heatmaps_drawn[0, 1]
v2 = heatmaps_drawn[0, 0]
v3 = heatmaps_drawn[1, 1]
for y, x in [(0, 1), (0, 2), (1, 0), (1, 3), (2, 0), (2, 3), (3, 1), (3, 2)]:
assert np.allclose(heatmaps_drawn[y, x], v1)
for y, x in [(0, 0), (0, 3), (3, 0), (3, 3)]:
assert np.allclose(heatmaps_drawn[y, x], v2)
for ... | |
access_type='online',
response_type='token'
)
authorize_url = flow.step1_get_authorize_url()
parsed = urllib.parse.urlparse(authorize_url)
q = urllib.parse.parse_qs(parsed[4])
self.assertEqual('client_id+1', q['client_id'][0])
self.assertEqual('token', q['response_type'][0])
self.assertEqual('foo', q['scope'][... | |
<gh_stars>10-100
"""Test structure prediction module"""
import itertools
import json
import logging
import os
import pickle
import unittest
from contextlib import contextmanager
from operator import itemgetter
from random import sample
import numpy as np
import pandas as pd
import pymatgen
from pandas.... | |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Dict, List, Mapping, Optional, Tuple, Union
from .. import ... | |
[u'f'] ,
u'圪' : [u'g'] ,
u'螵' : [u'p'] ,
u'昴' : [u'm'] ,
u'媷' : [u'r'] ,
u'㔾' : [u'j'] ,
u'槁' : [u'k', u'g'] ,
u'譂' : [u'c'] ,
u'燑' : [u't'] ,
u'鍒' : [u'r'] ,
u'噔' : [u'd'] ,
u'蛟' : [u'j'] ,
u'敞' : [u'c'] ,
u'姡' : [u'k'] ,
u'㑨' : [u'y'] ,
u'棫' : [u'y'] ,
u'詬' : [u'h', u'g'] ,
u'䵮' : [u'y'] ,
u'烻' : [u'y', u's'] ,
u'鉼' ... | |
<filename>tencentcloud/cii/v20210408/models.py
# -*- coding: utf8 -*-
# Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. 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 L... | |
<filename>tool/tests/clusterfuzz/reproducers_test.py
"""Test the reproducers."""
# Copyright 2016 Google 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/license... | |
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.252667,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 4.45786,
'S... | |
# main imports
import numpy as np
import sys
# image transform imports
from PIL import Image
from skimage import color
from sklearn.decomposition import FastICA
from sklearn.decomposition import IncrementalPCA
from sklearn.decomposition import TruncatedSVD
from numpy.linalg import svd as lin_svd
from scipy.signal impo... | |
foo, bar, and sus will all treat their return values safely*/"""
elif suffix == "callee":
comm_suffix = """
/*In this test, foo and bar will treat their return values safely, but sus will
not, through invalid pointer arithmetic, an unsafe cast, etc*/"""
elif suffix == "caller":
comm_suffix = """
/*In this test, fo... | |
<reponame>CoderHuo/asn1tools
import unittest
from .utils import Asn1ToolsBaseTest
import asn1tools
import sys
from copy import deepcopy
import string
sys.path.append('tests/files')
sys.path.append('tests/files/3gpp')
from rrc_8_6_0 import EXPECTED as RRC_8_6_0
from lpp_14_3_0 import EXPECTED as LPP_14_3_0
from x691_a... | |
values are the full section names.
layout : dict
Layout of the header. Similar to `header`, but instead of the
lines, contains the layout of the line.
comments : dict
Comments in the LAS header. The keys are the linenumber of the
comment and the values are the comments themselves.
See Also
--------
_getlinel... | |
<filename>LittleGarden_Code/Backend/app.py
# pylint: skip-file
from repositories.DataRepository import DataRepository
from flask import Flask, request, jsonify
from flask_socketio import SocketIO
from flask_cors import CORS
from helpers.sensors.MeasureHelper import MeasureHelper
from helpers.devices_id.DeviceHelper im... | |
# Copyright 2020 The TensorFlow Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | |
#
# Defines data that is consumed by the header2whatever hooks/templates
# to modify the generated files
#
import enum
from typing import Dict, List, Tuple, Optional
from pydantic import validator
from .util import Model, _generating_documentation
class ParamData(Model):
"""Various ways to modify parameters"""
#... | |
<gh_stars>0
# Подсчитать, сколько было выделено памяти под переменные
# в ранее разработанных программах в рамках первых трех уроков.
# Проанализировать результат и определить программы с наиболее
# эффективным использованием памяти.
# Примечание: Для анализа возьмите любые 1-3 ваших программы
# или несколько вариантов... | |
Bay city, Texas",4083),
("Natalia city, Texas",1198),
("Navarro town, Texas",193),
("Navasota city, Texas",7432),
("Nazareth city, Texas",300),
("Nederland city, Texas",17371),
("Needville city, Texas",3063),
("Nesbitt town, Texas",117),
("Netos CDP, Texas",0),
("Nevada city, Texas",814),
("Newark city, Texas",1326),
(... | |
<gh_stars>0
# -*- coding: utf-8 -*-
# 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... | |
proxy Configuration describe a connection to an external proxy server which provides internet access cluster members. It's applied for package manager and Ambari too
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when r... | |
<reponame>fleurgaudfernau/Deformetrica_multiscale
import os
import sys
# sys.path.append(os.path.dirname(os.path.abspath(__file__)) + os.path.sep + '../../../')
import torch
import math
import xml.etree.ElementTree as et
from xml.dom.minidom import parseString
from numpy.random import poisson, exponential, normal
imp... | |
],
[ nan, 12000, 4000, nan, 4.61, nan ],
[ nan, 15000, 5000, nan, 8.27, nan ],
[ nan, 18000, 6000, nan, 13.19, nan ],
[ nan, 21000, 7000, nan, 19.71, nan ],
[ nan, 24000, 8000, nan, 28.21, nan ],
[ nan, 27000, 9000, nan, 38.61, nan ],
[ nan, 100, 300, nan, 0.00, nan ],
[ nan, 200, 600, nan, 0.02, nan ],
[ nan,... | |
<reponame>dvssajay/Semantic-Segmentation-of-Urban-Scene-Images-Using-Recurrent-Neural-Networks
# coding: utf-8
# In[1]:
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision import models
import numpy as np
import sys, time, os, warnings
from skimage.segmentation import mark_boundarie... | |
1 + 2*5^2 + 5^3
The floating point case is similar to the fixed modulus type
in that elements do not trac their own precision. However, relative
precision is truncated with each operation rather than absolute precision.
On the contrary, the lattice type tracks precision using lattices
and automatic differentiati... | |
<reponame>djangowebstudio/emma<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):
def forwards(self, orm):
# Adding model 'Image'
db.create_table('interface_image', (
('id', self.gf('django.db.m... | |
~np.isnan(cor_matrix[psv_i])
mask_j = ~np.isnan(cor_matrix[psv_j])
mask = np.logical_and(mask_i, mask_j)
mask_size = np.sum(mask)
if not mask_size:
if np.sum(mask_i) > np.sum(mask_j):
use_psvs[psv_j] = False
else:
use_psvs[psv_i] = False
break
else:
dist_matrix[psv_i, psv_j] = dist_matrix[psv_j, psv_i] = \
... | |
<gh_stars>1-10
import taichi as ti
import numpy as np
from functools import reduce
# from sph_base import SPHBase
# ti.init(arch=ti.cpu)
# Use GPU for higher peformance if available
ti.init(arch=ti.gpu, device_memory_GB=4, packed=True)
# 因为邻居搜索的网格不会做，所以尺寸数据只好也沿用助教的写法
# res = (720,720)
res = (512,512)
... | |
ignored. Default: ``True`` in group chats and ``False`` in private chats.
"""
self._quote(kwargs)
return self.bot.send_message(self.chat_id, *args, **kwargs)
def reply_photo(self, *args, **kwargs):
"""
Shortcut for ``bot.send_photo(update.message.chat_id, *args, **kwargs)``
Keyword Args:
quote (Optional[bool... | |
# ============LICENSE_START=======================================================
# org.onap.dcae
# ================================================================================
# Copyright (c) 2019 AT&T Intellectual Property. All rights reserved.
# ==================================================================... | |
you; your;
yours;
nimma
ೕವ
her; him; his; it; its; one; she; their; them;
they; we; you; your;
nivu
ಅದರ
her; his; its;
adara
ಅವಳ
her; him; his; it; its; she; their; them; they;
you; your;
avalu
ಅವಳನು
her; him; his; it; its; she; their; you; your;
avalannu
itself
ತನೇ
thannanne
ಸತಃ
even; itself; self;
svathh
j
jacket
ಕವಚ... | |
in provisioned_vms:
vms.append(self.info(vm['name'], vm=vm, ignore_volumes=True, floating_ips=floating_ips))
return sorted(vms, key=lambda x: x['name'])
def console(self, name, tunnel=False, web=False):
try:
vm = self._get_vm(name)
if vm is None:
error("VM %s not found" % name)
return None
except ApiException... | |
:param feature_names (string): part of filename that all feature files have in common
:param label_names (string): part of filename that all label files have in common
:param tt_split_ratio (float): split ratio of training and testing data files (value between 0. and 1.)
:param train_shard_size (int): approximate tf... | |
<filename>server/analysis/preprocessing.py
#
# OtterTune - preprocessing.py
#
# Copyright (c) 2017-18, Carnegie Mellon University Database Group
#
from abc import ABCMeta, abstractmethod
from itertools import chain, combinations, combinations_with_replacement
import numpy as np
from sklearn.preprocessing import MinMax... | |
[self.output]
self.sample_counter = self.sample_counter + 1
# In the train mode we want to continue appending the outputs by calling forward function
# The outputs will be saved internally in the network instance as a list
# Otherwise we want to transform outputs list to a tensor and return it
return self.output
... | |
<gh_stars>1-10
# BSD 3-Clause License; see https://github.com/scikit-hep/awkward-1.0/blob/main/LICENSE
# v2: replace with src/awkward/_v2/_connect/numba/arrayview.py
import operator
import numba
import numba.core.typing
import numba.core.typing.ctypes_utils
import awkward as ak
np = ak.nplike.NumpyMetadata.instanc... | |
if not java_threading.currentVMThread == "main_no_init":
java_threading.currentVMThread.STATE =make_String("WAITING", loader)
temp = java_threading.currentVMThread
interp.interp_lock.release()
# if there is an other thread it will get the
# exc. control here!
interp.interp_lock.acquire()
java_threading.current... | |
transform = transforms.Compose(
[transforms.RandomResizedCrop(size=224, scale=scale),
transforms.RandomHorizontalFlip(),
get_color_distortion(s=color_distortion),
get_gaussian_blur(ks=23),
transforms.ToTensor()])
else:
transform = transforms.Compose(
[transforms.Resize(size=256),
transforms.CenterCrop(size=224... | |
import codecs
import pickle
import optparse
import os
import re
import sys
from collections import OrderedDict
import numpy as np
models_path = "./models"
eval_path = "./evaluation"
eval_temp = os.path.join(eval_path, "temp")
# TODO: Move this to a better configurational structure
eval_logs_dir = os.path.join(eval_t... | |
<filename>thred/models/thred/thred_model.py<gh_stars>100-1000
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from tensorflow.python.layers import core as layers_core
from tensorflow.python.ops import variable_scope
from .. import at... | |
time slot
"""
print ("\n**** test_schedule_premept_active_task ****")
# used by cancel_schedules
agentid = 'new_agent'
taskid = 'task_high_priority2'
cancel_schedules.append({'agentid': agentid, 'taskid': taskid})
# add low prority task as well since it won't get cancelled till
# end of grace time
cancel_sched... | |
<gh_stars>0
import asyncio
import errno
import logging
import queue
from socket import error as SocketError
import time
import pybalboa.messages as messages
BALBOA_DEFAULT_PORT = 4257
M_START = 0x7e
M_END = 0x7e
C_PUMP1 = 0x04
C_PUMP2 = 0x05
C_PUMP3 = 0x06
C_PUMP4 = 0x07
C_PUMP5 = 0x08
C_PUMP6 = 0x09
C_LIGHT1 = 0x1... | |
<filename>tests/test_basic.py
import pytest
from parsita import *
def test_literals():
class TestParsers(GeneralParsers):
a = lit("a")
bb = lit("bb")
assert TestParsers.a.parse("a") == Success("a")
assert TestParsers.bb.parse("bb") == Success("bb")
assert TestParsers.bb.parse("bbb") == Failure("Expected end o... | |
11, 12, 13, 14, 15, 16, EOS, 0,
0, 0, 0, 0, 0
],
[
4, 5, 6, 7, 8, 9, 10, 11, 12, EOS, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0
]],
dtype=np.int32),
np.array(
[[0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0],
[0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0... | |
from yaglm.config.base_penalty import PenaltyConfig, WithPenSeqConfig, \
WithFlavorPenSeqConfig, ElasticNetConfig, \
SeparableSumConfig, InfimalSumConfig, OverlappingSumConfig
from yaglm.pen_max.ridge import get_ridge_pen_max
from yaglm.pen_max.lasso import get_lasso_pen_max
from yaglm.autoassign import autoassign
... | |
NO AND DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF MATPLOTLIB 3.3.2 WILL NOT INFRINGE ANY THIRD PARTY RIGHTS.
# 5. MDT SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF MATPLOTLIB 3.3.2 FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR... | |
_try_set(tokenvalue, color("<local> ", "blue"), lambda: format_py_obj(_resolve_identifier(f.f_locals, token)))
tokenvalue = _try_set(tokenvalue, color("<global> ", "blue"), lambda: format_py_obj(_resolve_identifier(f.f_globals, token)))
tokenvalue = _try_set(tokenvalue, color("<builtin> ", "blue"), lambda: format_py_... | |
<reponame>Willy5s/Pirates-Online-Rewritten
from direct.directnotify.DirectNotifyGlobal import directNotify
from direct.gui.DirectGui import *
from pandac.PandaModules import *
from pirates.piratesgui import PiratesGuiGlobals
from pirates.piratesgui import GuiPanel, RedeemCodeGUI
from pirates.piratesgui import GuiButton... | |
<reponame>kiuthed/qutip
# -*- coding: utf-8 -*-
# This file is part of QuTiP: Quantum Toolbox in Python.
#
# Copyright (c) 2011 and later, <NAME> and <NAME>.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions... | |
<filename>kaldi_io/LDA_LPLDA.py<gh_stars>10-100
# -*- coding: utf-8 -*-
from __future__ import print_function
import numpy as np
from scipy import linalg
from sklearn.utils.multiclass import unique_labels
from sklearn.utils import check_array, check_X_y
from sklearn.utils.validation import check_is_fitted
import LDA
i... | |
from database.models import UserProfile, CommunityMember, EventAttendee, RealEstateUnit, Location, UserActionRel, Vendor, Action, Data, Community
from _main_.utils.massenergize_errors import MassEnergizeAPIError, InvalidResourceError, ServerError, CustomMassenergizeError, NotAuthorizedError
from _main_.utils.massenergi... | |
return self._target_endpoint
@target_endpoint.setter
def target_endpoint(self, target_endpoint):
"""Sets the target_endpoint of this QueryJobResp.
:param target_endpoint: The target_endpoint of this QueryJobResp.
:type: Endpoint
"""
self._target_endpoint = target_endpoint
@property
def net_type(self):
"""... | |
"""
Precisely APIs
Enhance & enrich your data, applications, business processes, and workflows with rich location, information, and identify APIs. # noqa: E501
The version of the OpenAPI document: 11.9.3
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
import sys # noqa: F401
from com.pr... | |
import logging
import tempfile
from bzt import TaurusConfigError
from bzt.modules import ConsolidatingAggregator
from bzt.modules.aggregator import DataPoint, KPISet
from bzt.modules.apiritif import ApiritifNoseExecutor
from bzt.modules.apiritif.executor import ApiritifLoadReader, ApiritifFuncReader
from tests import ... | |
[
"#e41a1c",
"#377eb8",
"#4daf4a",
"#984ea3",
"#ff7f00"
],
6: [
"#e41a1c",
"#377eb8",
"#4daf4a",
"#984ea3",
"#ff7f00",
"#ffff33"
],
7: [
"#e41a1c",
"#377eb8",
"#4daf4a",
"#984ea3",
"#ff7f00",
"#ffff33",
"#a65628"
],
8: [
"#e41a1c",
"#377eb8",
"#4daf4a",
"#984ea3",
"#ff7f00",
"#ffff33",
"#... | |
sum
table3['listbar'] = 'bar' # default aggregation is list
table3['bars'] = 'bar', strjoin(', ')
ieq(expect2, table3)
def test_aggregate_empty():
table = (('foo', 'bar'),)
aggregators = OrderedDict()
aggregators['minbar'] = 'bar', min
aggregators['maxbar'] = 'bar', max
aggregators['sumbar'... | |
# escludi multi hits
exd=0 # escludi duplicati
conc=0 # se presenti paired-end, usa solo quelle concordanti
mq=0 # considera il map quality
rmnuc=0 # rimuovi nucleotide a monte ed a valle delle read; connesso a rmp e rmpv
blatr=0 # applica la correzione blat
blatfolder=''
rmsh=0 # rimuovi sostituzioni in omopolimeri di... | |
<reponame>Jexp97/Bisca_JV_num_01<filename>classes_base.py
###################################################
# Arquivo base para jogos que usem cartas e baralho.
# Autor: <NAME>
# Ano: 2021
###################################################
from random import shuffle
import os
os.environ['TF_CPP_MIN_LOG_LE... | |
# Copyright 2018-2020 Xanadu Quantum Technologies 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 agr... | |
import re
import os
import functools
from itertools import chain
from datetime import date, datetime, timedelta
import yaml
from flask import current_app, Markup
from veripress import cache
from veripress.model.models import Page, Post, Widget
from veripress.model.parsers import get_standard_format_name, get_parser
f... |
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