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# See the License for the specific language governing permissions and # limitations under the License. import json import os import pytest import subprocess
python
import numpy as np print "Equal?", np.testing.assert_equal((1, 2), (1, 3))
python
# Write results f = open(output_file,'w') line = 'ct_all\t%s\tseq\n'%('\t'.join(['ct_%d'%n for n in sample_nums])) f.write(line) for i in indices: seq = seqs[i] counts = seq_to_counts_dict[seq] line = '\t'.join([str(x) for x in counts]) + '\t' + seq + '\n' f.write(line) f.close()
python
display2 = myrotate(display2, 90) display = np.hstack([display1, display2]) cv.imshow("prerot", (prerot*255).astype(np.uint8)) cv.imshow("hippodeep - me", (display*255).astype(np.uint8)) if cv.waitKey(0) == 27: cv.imwrite("display.png", (display*255).astype(np.uint8)) quit()
python
if len(self.inputs) % len(folds): raise TransformException(f"Ragged input count {len(self.inputs)} in {self.name}") group_size = len(self.inputs) // len(folds) if group_size < 1:
python
""" command = f"getstate,{addr}" CMD = bytes(command, encoding='utf8')+CR response = await self.raw_request(CMD) return response async def getversion(self, module): """Get the version number of 'module'. The 'module' number is 1, 2, 3, etc. It is _not_ a "connector address". """ command = f"getversion,{module}" CMD = bytes(command, encoding='utf8')+CR
python
# Internal Settings VR_PAYMENT_SHOPPER_RESULT_URL_NAME = getattr( settings, "VR_PAYMENT_SHOPPER_RESULT_URL_NAME", "vr-payment:return" )
python
break logging.info(f"Last index reached: {index}") num_class = index + 1 if job_ids: jobs.append(submit_job(client, job_ids, start_index, num_class)) job_ids.clear() logging.info(f"{len(jobs)} jobs downloading {total_num_comments} comments...") dataframes = [None] * len(jobs)
python
"""File with all exceptions for this python package""" class SeleniumScreenshotsError(Exception): """Main exception of this python package """
python
import dimod SPIN = dimod.SPIN BINARY = dimod.BINARY Vartype = dimod.Vartype def to_cxxcimod(var_type): # convert to cxxcimod type
python
items: The combination of Interfaces and/or LSPs that the Demand takes from source to destination splits: each item on the path (Interface and/or LSP) and the number of cumulative ECMP path splits that the Demand has transited as it egresses the source node for that element.
python
from std_msgs.msg import Int32 from std_msgs.msg import String n = 0 a = ['必う日は近い','他人に妨げられる事あり','願いを伝えよ','他人を助けよ、助けることで叶う','初めは思わしくないが後は必ず良し','2つの願いを一度に叶えんとすれば悪し','思いがけぬ人の助けありて叶うことあり','にわかに事をなさんとすれば災いあり','必ず叶う','早くすれば他人の助けありて調う','少し時がかかるが叶う','願い難し、努力せよ','叶い難く利なけれど後自然成就す','無理に事をなすは悪し、時を待て叶う','遅くとも必ず叶う','叶いにくい'] b = ['来ず、待たない方が良い','便りが有り来る','音信有り来る','来る','来る、連れあり','便り無し来ず','すぐあり','非を認めれば来る','遅いが来る','来ること難し','待つことで災いあり','来る喜びあり','さわりなく来る','速やかに来たる','かなり遅く来る'] c = ['上方にあり','下方にあり','低き所にて見つかる','高き所にあり','男子の知ることあり','女にとふべし','手近より出る','出ず','いつのまにかある','苦労して捜し出すことになる','家族にとふと良い','忘れたころに出る','必ず出る、早く捜せ','遠くにあり','出るとも遅し','戻らず','北を捜すべし','西を捜すべし','南を捜すべし','東を捜すべし','捜さずとも出る'] d = ['列車の旅が良い','早朝出立すべし','出発は吉日を選べ','ゆるゆる行くべし','つれあれば共に行け','近き所、特に良し','行く先利益あり','船旅良し','災いあり控えるべし','遠くに縁あり','何れに行くも損なし','水難に注意すべし','北は控えよ','特に南よし','夏に行くが良し','海に近いところ良し','海を越えると良い','山の近くが良い','秋に行くが良し','夜に出立すべし'] e = ['確かなる利益あり','利あり、売るに良し','物の値、大きく変動あり','乗り気にてやるべし','利益少なし','値段上下無し','苦労の甲斐あり','売り買い何れも吉','成せば成る','隆昌に向かうが慎重にせよ','投資せよ','買うに良し、利あり','利益少なし、時を待て','利益相当あり','己の思うままに成すべし','俄かに下ることあり','災い有り','利も損も無し','少し待て','他人の手を借りるべし','後に利益あり','利益有るが何れか失う','物の値下げるべし','物の値上げるべし'] f = ['初心に返ると良い','他人を当てにすること勿れ','安心して勉学せよ','幸運訪れ有','焦らず頑張','全力を尽くせば必ず叶う','順調に進む','挫けずに努力せよ','友達を選べ','実力以上を発揮','日々の積重現わる','感謝の心で一筋に努力せよ、叶う','自己への甘えを捨てよ','寝不足に注意','雑念多し、努力せよ','頑張れば幸運有り','辛ければ他人に相談せよ'] g = ['人生の伴走者に出会う','愛情を捧げよ','愛を捧げよ倖せあり','短気は敵','自身に問題あり','お互いを知れ','一途な想いが愛を深める、行動で示せ','楽しむことが吉','考え過ぎれば災いあり','多くを話合うこと','我を張らず愛情を捧げる事','思わぬ出会い有り、逃すな','相手に誠意無し','深入りするな','周りに気を付ける事','他人の話を聞くこと','贈り物に注意','焦らず考えよ','器大きくあるべし','自己に甘えることなく勇気を出すこと吉'] h = ['日頃を気をつけよ','治る気第一','信心によりてなおる','軽し治る','治る','重し、気をつけよ','休むが一番の治療','重いが全快す','全快早し','重くない治る','睡眠第一','食生活に気をつけよ','医者の話を聞くべし','細心の注意を払え','周りの話を聞くべし','再発に気をつけよ','気持ち次第で必ず治る','落ち着いて待つべし']
python
game_status.bbref_game_id = bbref_game_id if bb_game_id: game_status.bb_game_id = bb_game_id game_status.scrape_status_date_id = date_status.id game_status.season_id = date_status.season_id return game_status def create_pitch_app_status_record(bbref_game_id, bb_game_id, game_status, player_id, pitch_app_id): pitch_app_status = db.PitchAppScrapeStatus() pitch_app_status.pitcher_id_mlb = player_id.mlb_id
python
assert upload.validate_junction_data('leads', valid_data_json) is True def test_check_data_columns(): """Testing out check_data_columns method this is supposed to return a new dictionary that has values for all the elements in a list The new dictionary will have elements from the list as it's keys if there is key missing from the dictionary
python
response = self.request(type="mutation", call='newQuickmemo(token: "{0}", title: "{1}", body: "{2}")' .format(self.access_token, "idea title", "idea body"), body=''' result{ ... on ResponseMessageField{
python
print('=-'*30) print(f'[ {linhas[0][0]} ] [ {linhas[0][1]} ] [ {linhas[0][2]} ]') print(f'[ {linhas[1][0]} ] [ {linhas[1][1]} ] [ {linhas[1][2]} ]') print(f'[ {linhas[2][0]} ] [ {linhas[2][1]} ] [ {linhas[2][2]} ]') print('=-'*30) print(f'A soma dos valores pares é {par}.' f'\nA soma dos valores da terceira coluna é {c3}.'
python
msg_fmt = 'It\'s been a while, check for a new version of ' + \ 'Intel(R) Distribution of OpenVINO(TM) toolkit here {0} or on the GitHub*' def get_ov_update_message(): expected_update_date = datetime.date(year=2020, month=10, day=1) current_date = datetime.date.today() link = 'https://software.intel.com/en-us/openvino-toolkit/choose-download?cid=&source=upgrade&content=2020_3_LTS'
python
graphData = root.find("{GraphInfo}graphml") return graphData.find("{GraphInfo}graph") def getKeyFrames(root): graphData = root.find("{GraphInfo}graphml") keys = graphData.findall('{GraphInfo}key')
python
""" class BaseKeyValueStorage(object): """ The storage of key-values. """ def add(self, category, key, value=None): """ Add a new attribute. If the key already exists, raise an exception. Args: category: (string, int) the category of data. key: (string) attribute's key.
python
spark.catalog.listDatabases().select("name").show() spark.catalog.listTables.show() spark.catalog.isCached("sample_07") spark.catalog.listFunctions().show()
python
############################################################################### from pyro.dynamic import pendulum from pyro.control import nonlinear from pyro.analysis import simulation ############################################################################### sys = pendulum.SinglePendulum()
python
mpl.rcParams['mathtext.fontset'] = 'cm' mpl.rcParams['mathtext.rm'] = 'serif' import matplotlib.pyplot as plt def label_diff_x(ax, x0, x1, y, cap_size, y_text, text): xmid = x0 + ((x1 - x0) / 2) ax.plot([x0, x0, x1, x1], [y - cap_size, y, y, y - cap_size], color='black', lw=1) # ax.annotate(text, xy=(xmid, y), xytext=(xmid, y_text), zorder=10, ha='center', va='center', fontsize='medium')
python
from eth_account._utils.transactions import serializable_unsigned_transaction_from_dict, encode_transaction from web3 import Web3, HTTPProvider def get_signature_prefix( signature_rs, address, transaction_hash, chainId, web3 ): try: r, s = signature_rs except: print( "Invalid signature argument!" ) raise SystemExit() v = chainId * 2 + 35 if web3.eth.account._recover_hash( bytes( transaction_hash ), vrs=( v, r, s ) ) != address: v = chainId * 2 + 36
python
size = np.array([ceil((1 - percentage) * im_size1), im_size2], dtype = np.int32) w_start = 0 w_end = im_size2 h_start = 0 h_end = int(ceil((1 - percentage) * im_size1)) else: # Translate bottom 20 percent offset = np.array([-percentage, 0.0], dtype = np.float32) size = np.array([ceil((1 - percentage) * im_size1), im_size2], dtype = np.int32) w_start = 0 w_end = im_size2 h_start = int(floor((percentage) * im_size1)) h_end = im_size1 return offset, size, w_start, w_end, h_start, h_end
python
episode = re.search('Episode-([0-9]*)', text).group(1) season = re.search('Season-([0-9]*)', text).group(1) file_name = 'Coffee_Break_Spanish_S' + season + '_E' + episode print(file_name)
python
# If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # from pathlib import Path import sys src_dir = Path("../../src").absolute() sys.path.insert(0, str(src_dir)) # -- Project information ----------------------------------------------------- project = "ixdat" copyright = "2020, the ixdat team" author = "ixdat team"
python
socket_listener_thread = threading.Thread(target=listener, args=(client_sock,)) socket_listener_thread.daemon = True socket_listener_thread.start() #Starts connection thread listen_thread = threading.Thread(target=listen_for_connections) listen_thread.daemon = True listen_thread.start() root.mainloop()
python
help='max learning rate, must be more than args.lr') parser.add_argument('--lr-period-updates', default=5000, type=float, metavar='LR', help='initial number of updates per period (cycle length)') parser.add_argument('--shrink-min', action='store_true', help='if set, also shrinks min lr')
python
# load weights for transfer learning if self.transfer_learning: model.load_weights(load_weight_file_path(self.transfer_model_name)) # for outer_loop in tqdm(range(outer_training_steps)): for steps in range(self.training_steps): # fetch training data
python
name: str # Fields used in dependencies MUST be declared with `field` credit_card: NotNull[int] = field(default=None) billing_address: NotNull[str] = field(default=None) dependencies = dependent_required({credit_card: [billing_address]}) # it can also be done outside the class with # dependent_required({"credit_card": ["billing_address"]}, owner=Billing)
python
self: ivy.Container, low: Union[float, ivy.Container] = 0.0, high: Union[float, ivy.Container] = 1.0, device: Optional[Union[ivy.Device, ivy.NativeDevice, ivy.Container]] = None, key_chains: Optional[Union[List[str], Dict[str, str]]] = None, to_apply: bool = True, prune_unapplied: bool = False, map_sequences: bool = False,
python
agent = NomadAgent() agent.deploy_flow( flow_run=GraphQLResult( { "flow": GraphQLResult( {
python
ims['query'] = str(ims['b_resolved_monster_id']) ims['resolved_monster_id'] = None id_view_state = await IdViewState.deserialize(dgcog, user_config, ims) id_control = TransformInfoMenu.id_control(id_view_state) return id_control @staticmethod async def respond_with_transform(message: Optional[Message], ims, **data): dgcog = data['dgcog'] user_config = data['user_config']
python
import os for folder, subfolders, files in os.walk(os.getcwd()): for file in files: filepath = os.path.join(os.path.abspath(folder), file) print(filepath)
python
>>> height(t) 1 >>> t = descendants_from_list(Tree(13), [0, 1, 3, 5, 7, 9, 11, 13], 3) >>> height(t) 3 """ return 1 + max([height(c) for c in t.children]) if t.children else 1 def count(t):
python
<gh_stars>0 import math def main(inputstring): return str(eval(inputstring))
python
from django.http import HttpResponse from easy_pdf.views import PDFTemplateView from .models import Producto from django.views.generic import ListView from django.db.models import Count, Q
python
class Migration(migrations.Migration): dependencies = [ ('main', '0012_job_master_job'), ] operations = [ migrations.AddField( model_name='client', name='port', field=models.PositiveIntegerField(blank=True, default=22, max_length=5, validators=[django.core.validators.MinValueValidator(1), django.core.validators.MaxValueValidator(65535)]), ), ]
python
def reply(msg, options): request = sk.Request() request.ParseFromString(msg) if options.wait > 0: time.sleep(options.wait) resp = sk.Response() resp.result = sk.Response.RES_OK
python
return None new_response = {} for key, value in buildbucket_response.iteritems():
python
'labelSet': { 'instance_type': 'small' }, 'ruleset': [ { 'metric': 'request_cpu', 'value': 0.005, 'unit': 'core-hours' }, { 'metric': 'usage_cpu', 'value': 0.015, 'unit': 'core-hours' }, {
python
url( r'(?P<swot_id>[0-9]+)/items/votes/$', views.vote_list, name='get' ), url( r'items/(?P<swot_item_id>[0-9]+)/votes/$', views.vote, name='post' ),
python
valor = preco+(preco*(taxa/100)) return valor def diminuir (preco,taxa): valor = preco - (preco*(taxa/100)) return valor def metade (preco = 0): valor = preco/2 return valor
python
# -*- coding: utf-8 -*- #---------------------------------------------------- def primo(n): '''(int) -> bool RECEBE um número inteiro n. RETORNA True se n é primo e False em caso contrário. ''' # remova o print() e escreva suas função a seguir primo = True if n <= 1:
python
import pytest import importlib import os.path import sys def test_config_paths(): assert os.path.exists('/etc/profile.d/init_conda.sh') assert os.path.exists('/srv/conda/.condarc') assert os.path.exists('/srv/start') assert os.path.exists('/srv/conda/etc/dask.yml')
python
#!/usr/bin/env python #-*- coding:Utf-8 -*- import function as f if __name__ == '__main__': f.start_game()
python
yaml_in_file = open(self.template_dir + '/cassandra.yaml.template', 'r') yaml_out_file = open(host_dir + '/cassandra.yaml', 'w+') changes = { "LOCAL_ADDRESS":container['data_ip'], "DATA_DIR":config.data_directory, "CACHE_DIR":config.cache_directory,
python
parsed_naixement = row['naixement'] try: nou_alumne = Alumne.objects.filter( nom = stripped_nom, cognom1 = stripped_cognom1, cognom2 = stripped_cognom2, num_llista = row['id_nen'], )[0]
python
return (False, True) #if self.map[int(toPoint.y)][int(toPoint.x)]==2: # inPadding = True points = self.model.calculateCorners(toPoint, th1, th2) #header right_back_wheel = Point(points[5][0], points[5][1]) left_back_wheel = Point(points[4][0], points[4][1]) right_front_wheel = Point(points[1][0], points[1][1]) left_front_wheel = Point(points[0][0], points[0][1]) left_front = Point(points[6][0], points[6][1])
python
7.00000000e+00, 8.00000000e+00, 8.333333e+00]) cls.model_json = model_to_json(cls.model) def test_model_save_and_load(self): prophet_model = ProphetModel(self.model_json, 1, "d", "ds") with mlflow.start_run() as run: mlflow_prophet_log_model(prophet_model) # Load the saved model from mlflow run_id = run.info.run_id prophet_model = mlflow.pyfunc.load_model(f"runs:/{run_id}/model")
python
if event.fwd_from: await func(event) else: pass return wrapper return decorator def am_i_admin():
python
api.do_q68(answer, api) elif answer.question.pk == 147: # business_strengths api.do_q147(answer, api) elif answer.question.pk == 49: # target_market_types, target_market_first_traits, target_market_second_traits api.do_q49(answer, api) elif answer.question.pk == 51: # customer_price_sensitivity
python
from django.contrib import admin admin.autodiscover() urlpatterns = patterns('', url(r'^admin/', include(admin.site.urls)), # TODO
python
Update a release. This can change some metadata associated with the release (the ref, url, and dates). :pparam string organization_slug: the slug of the organization the release belongs to. :pparam string project_slug: the slug of the project to change the release of. :pparam string version: the version identifier of the release. :param string ref: an optional commit reference. This is useful if a tagged version has been provided. :param url url: a URL that points to the release. This can be the
python
# Use of this source code is governed by a BSD-3-clause license that can be # found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause from __future__ import print_function as _ from __future__ import division as _ from __future__ import absolute_import as _
python
def test_init(self): value_function = TabularQFunction(num_states=4, num_actions=2) torch.testing.assert_allclose(value_function.table, 0) def test_compile(self): torch.jit.script(TabularQFunction(num_states=4, num_actions=2))
python
assert dvc.stage.collect_granular("dir") == [(stage2, None)] assert dvc.stage.collect_granular("dir", recursive=True) == [ (stage1, None) ] remove(tmp_dir / "dir")
python
#!/usr/bin/env python3 from pwn import * binary = ELF('sort_it') binary.write(0x1208,5*b'\x90') binary.save('sort_it_patched') os.chmod('sort_it_patched',0o755)
python
def imdecode(bytes): """Decode byte string to float64 image in [-1.0, 1.0]. Args: bytes: Byte string. Returns: A float64 image in [-1.0, 1.0].
python
install_requires = [x.strip() for x in all_reqs if 'git+' not in x] # if platform.system() != "Windows": # install_requires.append('pygdal==' + PYGDAL_VERSION)
python
K3=np.array([Vnow+K2[1]*h/2,csm(Pnow+K2[0]*h/2,Vnow+K2[1]*h/2)]) K4=np.array([Vnow+K3[1]*h,csm(Pnow+K3[0]*h,Vnow+K3[1]*h)]) Pnext=np.copy(Pnow)
python
assert sqi.conditions[0] == ['a', SQL_OP.EQ, 'b'] sqi = SQLQueryInfo() sqi.parse_then_add_condition('a', 'like', 'b') assert sqi.conditions[0] == ['a', SQL_OP.LIKE, 'b'] for i in SQL_OP.ALL:
python
ret_list = p.map(func, [group for name, group in dfGrouped]) return ret_list def create_output_dir(directory_name): try: os.mkdir(directory_name) except OSError: print('Output folder at {} already exists'.format(args.output_folder))
python
outmeandict = {} outvardict = {} scalefactors = {} for node in nodes: print node store = pd.HDFStore(TSVAULTFILE) fcdf = store['/'.join((CATEGORY, FCNAME, node))]
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 writing, software # distributed under the License is distributed on an "AS IS" BASIS,
python
from django.apps import AppConfig class TestVupConfig(AppConfig): name = 'test_vup'
python
import unittest import pymel.core.language as lang class testCase_pythonToMelCmd(unittest.TestCase): def test_bool_arg(self): self.assertEqual(lang.pythonToMelCmd('xform', rao=1).strip(), 'xform -rao') def test_multi_arg(self): self.assertEqual(lang.pythonToMelCmd('xform', translation=(1,2,3)).strip(), 'xform -translation 1 2 3')
python
from optparse import make_option import sys import os import re naiveip_re = re.compile(r"""^(?: (?P<addr> (?P<ipv4>\d{1,3}(?:\.\d{1,3}){3}) | # IPv4 address (?P<ipv6>\[[a-fA-F0-9:]+\]) | # IPv6 address (?P<fqdn>[a-zA-Z0-9-]+(?:\.[a-zA-Z0-9-]+)*) # FQDN ):)?(?P<port>\d+)$""", re.X)
python
self.assertEqual(virus_dic[STA_K][4], H) self.assertEqual(virus_dic[STA_K][5], F) def test_propagate_to_transportation_isolated(self): # i0 is isolated # Everyone stays safe env_dic = { IW_K: {0: 1, 1: 1, 4: 1, 5: 0}, ITI_K: {0: {0, 5}, 4: {4}, 5: {0, 5}}, IBE_K: {0: 1, 1: 1, 4: 1, 5: 1} }
python
from django.shortcuts import get_object_or_404 from django.views.decorators.cache import cache_page from descriptor.models import Descriptor from igdectk.rest.handler import * from igdectk.rest.response import HttpResponseRest from organisation.models import Organisation from .base import RestOrganisationModule class RestOrganisationType(RestOrganisationModule):
python
Returns the checksum of a file. Parameters ---------- pathname : Path hash_function : callable Hashing function used to calculate the checksum. Returns
python
from collections import Counter from pprint import pprint from tqdm import tqdm from tools.lib.route import Route from tools.lib.logreader import LogReader if __name__ == "__main__": r = Route(sys.argv[1]) cnt: Counter = Counter() for q in tqdm(r.qlog_paths()): lr = LogReader(q) car_events = [m for m in lr if m.which() == 'carEvents'] for car_event in car_events:
python
#input_state = GPIO.wait_for_edge(17, GPIO.RISING) #print('got state', input_state) input_state = GPIO.input(17) if input_state == False: print('Button Pressed') GPIO.output(18, GPIO.HIGH if not on else GPIO.LOW) on = not on time.sleep(0.5)
python
for file in self.files.get('changelogs', []): url = Path(self.url, '/wp-content/themes/%s/%s' % (theme, file)) resp = self.send(url=url, method="GET") if resp.status_code == 200 and resp.content != ("" or None): if resp.url == url: more('Changelog: %s' % (resp.url)) break def fpd(self, theme):
python
self.summary_reports=["Agatston Score","Mass Score","Volume"] self.labelScores = dict() self.totalScores=dict() for sr in self.summary_reports: self.labelScores[sr]=[] self.totalScores[sr]=0
python
def run(self): """ Execute salt-key """ import salt.key self.parse_args() key = salt.key.KeyCLI(self.config) if check_user(self.config["user"]): key.run()
python
image_x = 50 image_y = 50 train_y = np_utils.to_categorical(y_train) test_y = np_utils.to_categorical(y_test) train_y = train_y.reshape(train_y.shape[1], train_y.shape[2]) test_y = test_y.reshape(test_y.shape[1], test_y.shape[2]) x_train = x_train.reshape(x_train.shape[0], 50, 50, 1) x_test = x_test.reshape(x_test.shape[0], 50, 50, 1) print("x_train shape: "+ str(x_train.shape))
python
# Calculate shapiro wilk p-value from scipy.stats import shapiro shap_w, shap_p = shapiro(y) print(shap_p) # Get outliers # convert to z-scores from scipy.stats import zscore y_z_scores = zscore(y) # convert y into z scores
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<gh_stars>0 # Set a security to a delayed settlement model: settle 7 days later, at 8am. self.Securities["IBM"].SettlementModel = DelayedSettlementModel(7, timedelta(hours = 8))
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""" import numpy as np DATA = np.array([[-1.1, 0.0, 1.1], [2.2, 3.3, 4.4]]) # np.ndarray: DATA converted to int result_int = ... # np.ndarray: DATA converted to bool
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raise_exception = True def get_queryset(self): name = self.request.GET.get('name') if name: return OSFGroup.objects.filter(name__icontains=name) return OSFGroup.objects.all() def get_context_data(self, **kwargs): query_set = kwargs.pop('object_list', self.object_list) page_size = self.get_paginate_by(query_set)
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class GsUploadManager(GsManager, AbstractTransferManager): """ Google cloud storage upload manager that performs either simple upload or parallel composite upload depending on file size.
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This attribute is named `entityScope` in VSD API. """ return self._entity_scope @entity_scope.setter def entity_scope(self, value): """ Set entity_scope value. Notes:
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def __init__(self, dict_): super(self.__class__, self).__init__(dict_) @classmethod def retrieve(cls, params=None): if params is None: params = dict() url = 'acct/detail_contact_info' response = cls(Api.call(url, params))
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pass def SetNamedPipeHandleState(*args, **kwargs): # real signature unknown pass def TransactNamedPipe(*args, **kwargs): # real signature unknown
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for i in range(len(tokens)): assert expected_tokens[i].type == tokens[i].type assert expected_tokens[i].value == tokens[i].value def test_syntax_analysis(self):
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if args.room.lower() not in profile.rooms: raise Exception(f"No room could be found in the profile: {args.profile} with the name: {args.room.lower()}") current_devices = profile.rooms[args.room.lower()] try: with open(os.path.join('.', 'resources', 'devices.json'), 'r') as device_file:
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l = l.split(":") p[-1][2] = l[1] l = l[0].split("]") l = l[0].split(", ") p[-1][1] = float(l[1])
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app = phosphorus.App() @app.add_endpoint(r'/([a-z])([0-9])') def letter_number(match): return phosphorus.Response(f'{match.group(1)},{match.group(2)}') app = webtest.TestApp(app) def test_regex_groups(): r = app.get('/d4')
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@param {DoRequest} translated This request translated to the given state @param {State} state The state which is used to make the request reversible. @type DoRequest '''
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from .models.certificate_issuer_info import CertificateIssuerInfo from .models.certificate_issuer_info_list_response import CertificateIssuerInfoListResponse from .models.certificate_issuer_request import CertificateIssuerRequest from .models.certificate_issuer_update_request import CertificateIssuerUpdateRequest from .models.certificate_issuer_verify_response import CertificateIssuerVerifyResponse from .models.cfssl_attributes import CfsslAttributes from .models.cfssl_auth_credentials import CfsslAuthCredentials from .models.create_certificate_issuer_config import CreateCertificateIssuerConfig from .models.error_object_response import ErrorObjectResponse from .models.field_message_entry import FieldMessageEntry from .models.global_sign_credentials import GlobalSignCredentials # import apis into sdk package
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np.testing.assert_array_equal(mask2, expected2) def test_dict_patch(self): r"""Tests :meth:`texar.utils.dict_patch`. """ src_dict = {
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from typing import Any from typing import Callable from typing import Dict from unicodedata_reader import * class UnicodeGeneralCategoryDataCli(UnicodeDataCli): def __init__(self): super().__init__() self._entries = UnicodeDataReader.default.general_category() def _core_columns(self) -> Dict[str, Callable[[int, str], Any]]: return { 'GC': lambda code, ch: self._entries.value(code),
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# 文件名:client.py import socket # 导入 socket 模块 s = socket.socket() # 创建 socket 对象 socket.AF_INET, socket.SOCK_STREAM # host = socket.gethostname() # 获取本地主机名 # port = 12345 # 设置端口号
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from .views import index, IndexView, loginView, logoutView urlpatterns = [ path('logout/',logoutView, name='logout'), path('login/',loginView,name='login'), # path('', IndexView.as_view(), name = 'index'), path('',index,name='index'), path('admin/', admin.site.urls),
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#Setting the subplot axis title ax_1.set(title='Intelligence') #Plotting box plot ax_2.boxplot(super_best['Speed']) #Setting the subplot axis title ax_2.set(title='Speed') #Plotting box plot ax_3.boxplot(super_best['Power'])
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from __future__ import absolute_import from signature import DSA from random import randint _SERIAL_NO_LOWER = 1 << 127 _SERIAL_NO_UPPER = (1 << 128) - 1 _SATOSHI_LOWER = 10 _SATOSHI_UPPER = 500 transaction_constants = {'title': '*** Bitcoin transaction ***', 'serial': 'Serial number: ', 'p': 'p: ', 'q': 'q: ',
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param_decorator = "const *" validation_suffix = textwrap.dedent( """\ std::vector<nonstd::optional<{cpp_type}>> {name}_buffer; {name}_buffer.reserve({name}_items};
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obs, rew, done, _ = e.step(a) obs_, rew_, done_, _ = e_.step(a[None]) assert np.allclose(obs, obs_, **isclose_kwargs) assert np.isclose(rew, rew_, **isclose_kwargs) assert done == done_ if done: break def test_env(envid):
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def testBadStrings(self): for s in ('foo', 'bar', 'xxx', 'yyy', ''): try: str2bool(s) assert False, 'Expected "%s" to produce an exception' % s