ngram listlengths 0 82k |
|---|
[
"True} } def __init__(self, options): super(ODOWriter, self).__init__(options) from flatson import",
"None) self.odo_uri = self.read_option('odo_uri', None) self.flatson = Flatson(schema) self.logger.info('ODOWriter has",
"to a odo destination. https://odo.readthedocs.org/en/latest/ Needed parameters: - schema ... |
[
"via: >>> from x7.shell import *; maketests('x7.sample.needs_tests') \"\"\" def needs_a_test(a,",
">>> from x7.shell import *; maketests('x7.sample.needs_tests') \"\"\" def needs_a_test(a, b):",
"<reponame>gribbg/x7-geom \"\"\" Simple file to validate that maketests is working.",
"from x7.shell import *; make... |
[
"else: IV = bytes(IV0s[nz]) hash.update(IV) # needs to be copied",
"to copy object otherwise the originally pointed version gets updated!",
"IV0s = [658678, 6785697, 254376, 67856, 1432543, 786, 124345, 5443654]",
"file the algorithm here does the full padding so the",
"every hash output is exactly used 2 t... |
[
"list, goal_node_id: int): \"\"\" Creates an ordered route list from",
"failed, add the last node that # passed to the",
"c in reversed_stack: if c.to_node.id == next_node: r.append(c.to_node.id) r.append(c.from_node.id) next_node",
":param route_stack: All routes found until goal :param goal_node: int",
"s... |
[
"<filename>design_patterns/pubsub/simple_events/__init__.py class Event: def __init__(self): self.handlers = set() def subscribe(self,",
"= set() def subscribe(self, func): self.handlers.add(func) def unsubscribe(self, func): self.handlers.remove(func)",
"func): self.handlers.add(func) def unsubscribe(self, fun... |
[
"\"\"\" Check and return the type of an environment variable.",
"environment variable. supported types: None Integer String @param env_var_name: environment",
"type of an environment variable. supported types: None Integer String",
"\"\"\" try: val = os.getenv(env_var_name) if val is None: return",
"def che... |
[
"[\"name\" , \"song_image\" , \"pk\" , \"like\" , \"played\" ,",
"class SoundDetailSerializer(serializers.ModelSerializer): class Meta: model = Sound fields = \"__all__\"",
"class Meta: model = Album fields = [\"name\" , \"datepublish\"",
"\"pk\" , \"like\" , \"played\" , \"tag\" , \"singer\" ,",
"serialize... |
[
"import datetime from django.conf import settings import pytz def check_tracker(obj,",
"block name), e.g. ('HN', 'Header Navigation', 'header-navigation-trackers') would allow for",
"block header-navigation-trackers %}{% generate_trackers 'HN' %}{% endblock %} in their",
"It defaults to the obvious 4 location... |
[
"import datetime from fastapi import APIRouter router = APIRouter() @router.get(\"\",",
"router = APIRouter() @router.get(\"\", tags=[\"health\"]) async def get_health(): return {",
"get_health(): return { \"results\": [], \"status\": \"success\", \"timestamp\": datetime.datetime.now().timestamp() }",
"dateti... |
[
"defaultdict from io import StringIO from matplotlib import pyplot as",
"'r') as f: for line in f: cat = line.split('\\n')[0]",
"PATH_TO_FROZEN_GRAPH = '../data/mobilenet_v2_1.4_224/mobilenet_v2_1.4_224_frozen.pb' info='Time taken to load Model into memory:'",
"#Load categories categories = [] with open('../d... |
[
"data: update_user_setting_filters(data, key, setting) sync_user_settings() def update_user_setting_filters(data, key, user_setting): timespan_map",
"frappe.parse_json(setting.get('data')) if data: for key in data: update_user_setting_filters(data, key, setting)",
"import frappe, json from frappe.model.utils.us... |
[
"quantum numbers and default temperature and frequency N = 10*10",
"print(\"{:08d} / {:08d}\".format(current_step, total_steps), end=\" \\r\") # After 'checkpoint_steps', show",
"label=\"Sampled\" ) plt.plot( n, gas.p_n(n), label=\"Theor.\" ) plt.xlabel('n') plt.ylabel('P(n)') plt.legend()",
"# 1e-3 times the... |
[
"as index_file: for private_pack in private_packs: private_pack['price'] = 0 index",
"import os import sys import shutil import json import argparse",
"parser.add_argument('-a', '--artifacts_path', help=\"The full path of packs artifacts\", required=True) parser.add_argument('-ea',",
"of packs artifacts\", re... |
[] |
[
"type='Collect', keys=['imgs', 'flow_gt'], meta_keys=[ 'img_fields', 'ann_fields', 'filename1', 'filename2', 'ori_filename1', 'ori_filename2',",
"'flow_gt', 'filename1', 'filename2', 'ori_filename1', 'ori_filename2', 'ori_shape', 'img_shape', 'img_norm_cfg', 'scale_factor', 'pad_shape'",
"'img_fields', 'ann_fie... |
[
"__rand__(self, lhs): return call('bit_and', lhs, self) # Represents an eltwise",
"__radd__(self, lhs): return TensorIndex(poly_op(lib.PLAIDML_INT_OP_ADD, lhs, self)) def __sub__(self, rhs): return",
"self)) def __add__(self, other): return TensorDim(dim_op(lib.PLAIDML_INT_OP_ADD, self, other)) def __radd__(sel... |
[
"(c) 2018 Intel Corporation Licensed under the Apache License, Version",
"import LandmarksNet from .se_resnet_angular import SEResNetAngular from .shufflenet_v2_angular import ShuffleNetV2Angular",
"Corporation Licensed under the Apache License, Version 2.0 (the \"License\");",
"\"\"\"Returns input resolution... |
[
"else: if ei is not None: ret[\"exc_info\"] = self.formatException(ei) #",
"ei is not None: ret[\"exc_info\"] = self.formatException(ei) # Dump the",
"ret.pop(\"args\") msg = ret.pop(\"msg\") ret[\"message\"] = msg % args #",
"= msg % args # Exceptions must be formatted (they",
"Exceptions must be formatted... |
[
"if np.allclose(b, A*x) == False: raise Exception('Orthogonal test failure') ################################################################################",
"Orthogonal linear system solver tests from math import sqrt import",
"b, 1) # Check if np.allclose(b, A*x) == False: raise",
"# Known terms vector b ... |
[
"os import shutil from dataclasses import dataclass from datetime import",
"to process data files\"), (\"❌\", \"Failed to upload processed data",
"\"⚙ In Progress...\", \"✅ Success!\", \"❌ Failed: file not found\",",
"created_at=datetime.fromisoformat(json_resp[\"created_at\"]), updated_at=datetime.fromisofor... |
[
">= len(_ELLIPSIS_BYTES), 'max_bytes must be at least %d' % len(_ELLIPSIS_BYTES)",
"payload' elif status is 5: return 'Invalid token size' elif",
"has been split. while True: try: alert = json.loads(u'\"%s\"' %",
"Inc. All Rights Reserved. \"\"\"Apple Push Notification service utilities. Original",
"APNs me... |
[
":align: center :width: 30% We can mathematically formalize this by",
"the shape for the ansatz.\"\"\" return np.random.uniform(0, 2 * np.pi,",
"y_1 y_2 + x_2^2 y_2^2 = \\langle \\boldsymbol{x}, \\boldsymbol{y} \\rangle^2.",
"calculate the entries between the same datapoints, as we know",
"the # variational... |
[
"n = number-1 self.color = ((n/s)*(255/s),(n%s)*(255/s),128) def draw(self,screen,font,x,y,width,height): pygame.draw.rect(screen,self.color,(x,y,width,height)) text",
"#gimme a CHAR, not some weird integer domap = {",
"self.game: return (time.monotonic() - self.start_t , BLACK) elif self.is_solved() and",
"B... |
[
"if i == 6: continue; print(i); print(i); print(i); print(i); print(i);",
"in range(1,11): if i == 6: continue; print(i); print(i); print(i);",
"for i in range(1,11): if i == 6: continue; print(i);",
"skip개념!!! for i in range(1,11): if i == 6: continue;",
"i in range(1,11): if i == 6: continue; print(i); pr... |
[
"ncs6k-mcast.pkg-5.2.5.47I.DT_IMAGE ncs6k-mcast-5.2.5.47I ncs6k-mini-x.iso-6.1.0.07I.DT_IMAGE ncs6k-xr-5.2.5.47I ncs6k-5.2.5.47I.CSCuy47880-0.0.4.i.smu ncs6k-5.2.5.47I.CSCuy47880-0.0.4.i ASR9K-64 Production Packages -",
"ncs5k ncs5500 xrv9k\": # 61117I or 611 or 6.1.1.17I or",
"self._subversion = result.group(\... |
[
"in this function should be of lower case. Official wechat",
"self._media_type = media_type self._token = token def loadToken(self, token =",
"=> voice' self._Recognition = root.find(\"Recognition\").text # For recognition messages if",
"token=''): self._token = token def loadToken(self, token=''): '''Load th... |
[] |
[
"colors) class textcolor(Command): args = '[ model:str ] color:str self'",
"a['model'], self.ownerDocument.userdata.getPath('packages/color/colors')) self.style['border'] = ('1px solid %s' % latex2htmlcolor(a['bordercolor'], a['model'],",
"latex2htmlcolor('0,1,1') colors['magenta'] = latex2htmlcolor('1,0,1') co... |
[
"print(\"\\033[0;35;40mTeste\\033[m\") print(\"\\033[0;36;40mTeste\\033[m\") print(\"\\033[0;37;40mTeste\\033[m\") print(\"\\033[0;38;40mTeste\\033[m\") print(\" - - - Testando os",
"- Testando os 30 - - -\") print(\"\\033[0;37;40mTeste\\033[m\") print(\"\\033[0;31;40mTeste\\033[m\") print(\"\\033[0;32;40mTeste\\... |
[
"<NAME>, <NAME>, <NAME> and the TurboGears community\" email = \"<EMAIL>\"",
"url=\"http://www.turbogears.org/\" author= \"<NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME> and",
"widgets (ToscaWidgets2) * automatic JSON generation from your controllers *",
"development and everything in between: * dynam... |
[
"except: pass ## U,V,H mean em = e.mean(axis=0) print('e mean",
"pass ## U,V,H mean em = e.mean(axis=0) print('e mean done.')",
"create ouputfolder try: os.mkdir(runpath+'/analysis') except: pass ## U,V,H mean em",
"import sparse import time as tictoc from netCDF4 import Dataset",
"= np.load(runpath+'/e_sub... |
[
"words_file, self.board_size, 3) def solve(self, grid): \"\"\"Generate all solutions for",
"by u. if word[1] != 'u': continue # Remove \"u\"",
"= set() for start in range(len(string)): cur = self.trie letters",
"s, cur_node, seen + [cur_sq])) if cur_node._is_word: if s[0] ==",
"seen + [cur_sq])) if cur_node... |
[
"PagerDuty when Placement group on one OSD is corrupted and",
"@managed_service_required @skipif_ms_consumer @pytest.mark.polarion_id(\"OCS-2771\") def test_corrupt_pg_pd(measure_corrupt_pg): \"\"\" Test that there is",
"when the corrupted ceph pool is removed. \"\"\" api =",
"pool is removed. \"\"\" api = pa... |
[
"of features int y[N]; // the response matrix[N,K] X; //",
"observations int N2; // the number of test observations int",
"training observations int N2; // the number of test observations",
"seaborn as sns from cmdstanpy import CmdStanModel #%% load data",
"matrix for the predicted values } parameters { // ... |
[
"value def parse(self, text): \"\"\" Parse a string field containing",
"# Daily update def array_splitter(self, value): return [ x[1:-1] for",
"Fire and forget loader for materials - will queue a",
"cache_file: res = json.load(cache_file) self.queue.put( { 'mats': res } )",
"'mats': m._materials } ) except:... |
[
"for url in item['image_urls']: yield Request(url, meta={'title': item['title'], 'bookname': item['bookname']})",
"info): # 将下载完成后的图片路径设置到item中 item['images'] = [x for ok, x in",
"def item_completed(self, results, item, info): # 将下载完成后的图片路径设置到item中 item['images'] = [x",
"os.path.exists(path): os.makedirs(path... |
[
"model train_input_fn = tf.estimator.inputs.numpy_input_fn( x={'x': train_data}, y=train_labels, batch_size=100, num_epochs=None, shuffle=True",
"tf.estimator.EvalSpec(eval_input_fn) tf.estimator.train_and_evaluate(mnist_classifier, train_spec, eval_spec) if args.current_host == args.hosts[0]: mnist_classifier.ex... |
[
"from autoware_planning_msgs.msg import StopReasonArray from case_converter import pascal2snake from geometry_msgs.msg",
"StopReasonArray, self._options.topic_name, self._on_stop_reasons, 1 ) self._pub_pose_map = {} self._idx_map =",
"if name not in self._pose_map: self._pose_map[name] = {} pose_id =",
"2.0 (... |
[
"won't close such a loop. .. code-block:: python class MyTest(aiounittest.AsyncTestCase):",
"one. But if, for some reasons, you want to provide",
"import aiounittest class MyTest(aiounittest.AsyncTestCase): async def test_await_async_add(self): ret = await",
"python import aiounittest class MyTest(aiounittest... |
[
"color): t.pendown() t.pensize(1) t.color(color) t.begin_fill() for counter in range(2): t.forward(horizontal)",
"t.speed(0) t.setup(988,520) t.goto(494,260) t.pendown() for counter in range(7): t.setheading(-90) rectangle(40,988,'#B22234')",
"as t def rectangle(horizontal, vertical, color): t.pendown() t.pensi... |
[
"total = start.value zero = False while end: total +=",
"8, 9, 10, -19, 10, -18, 20, 25] s3 =",
"if total == 0: zero = True start = end",
"25] s3 = [2, 3, -5, 10, 10, -5, -5,",
"= end.next if not zero and not new: new =",
"break end = end.next if not zero and not new:",
"root = None while start: end = s... |
[
"account_name, maps_account_create_params) def list_accounts(client, resource_group_name=None): # Retrieve accounts via subscription",
"client_denied_terms = 'You must agree to the License and Privacy",
"tags=None, force=None): terms = 'By creating an Azure Maps account,",
"resource_group_name=None): # Retrie... |
[
"no cont feat, seq=50, shuffle=True\") ## B_full_feature_v2 no cont_feat, with",
"for loss computation. loss='log_loss', #'log_loss', 'softmax' max_seq_length=50, cont_feat_len=85, use_cont_feat=False, init_item_emb=False,",
"pred_file = os.path.join(data_path, r'inter_test.tsv') final_pred_file = os.path.join(... |
[
"classes to represent a C type. All of them classes",
"like \"char\" or \"int\".\"\"\" def __init__(self, name, signed, longs): super(CtypesSimple,",
"and self.restype.destination.name == \"void\" ): # we will provide a",
"we will provide a means of converting this to a",
"0): \"c_float\", (\"double\", True... |
[
"constants import Screen import cursors class Text: def __init__(self, text):",
"self._y = randint(self._r, Screen.height - self._r) self._r = randint(self.min_r, min(Screen.width,",
"* len(self._text) - self._padding_len def _x_text_center_position(self): return (Screen.width - self._count_text_len())",
"r):... |
[
"request type, checking for key value. \"\"\" regex_result = self.utils.get_search_regex(",
"from manage \"\"\" def __init__(self, logger): self.TAG = self.__class__.__name__ self.logger",
"str(err) self.messenger.mark_as_failed() else: self.messenger.code_type = Constants.USER_ERROR self.messenger.set_message ... |
[
"has_worked: logging.error(\"Nothing has been tested!\") snapshot_stack.delete() # depending on number",
"we are reverted # completely (only one profile was run)",
"= False profiles = get_viable_profiles(options.target, options.datastream, options.benchmark_id) if len(profiles) >",
"options.benchmark_id, runn... |
[
"wtforms import fields, widgets class ReferencePropertyField(fields.SelectFieldBase): \"\"\" A field for",
"a one-argument callable, this callable will be passed model instance",
"x: x elif isinstance(get_label, basestring): self.get_label = operator.attrgetter(get_label) else: self.get_label",
"not None: for... |
[
"np import pandas as pd import random def simulate_games(num_players=4, domino_size=12,",
"mode game_modes = [] if collect_data: for select in range(0,",
"domino_size + _ + num_games + .xlsx This spreadsheet is",
"is off: len(players) must equal num_players Returns a tuple of",
"= pd.DataFrame(columns=colum... |
[
"__all__ = (\"DottedMarkupLanguageException\", \"DecodeError\") class DottedMarkupLanguageException(Exception): \"\"\"Base class for all",
"pass class DecodeError(DottedMarkupLanguageException): \"\"\"Raised when there is an error decoding",
"all exceptions in this module.\"\"\" pass class DecodeError(DottedMar... |
[
"in [\"xmin\", \"ymin\", \"xmax\", \"ymax\"]] instances.append( {\"category_id\": CLASS_NAMES.index(cls), \"bbox\": bbox,",
"fvcore.common.file_io import PathManager import os import numpy as np import",
"jpeg_file, \"image_id\": fileid, \"height\": int(tree.findall(\"./size/height\")[0].text), \"width\": int(t... |
[
"as fin: result = fin.read() end = time.time() print(\"%.1f images/s\"",
"end = time.time() print(\"%.1f images/s\" % (10000 / (end -",
"glob.glob('/mnt/lustre/chenyuntao1/datasets/imagenet/train/*/*') random.shuffle(filelist) begin = time.time() for i, f in enumerate(filelist):",
"time import random filelist... |
[
"simulation, var_name, inp_dict, subdomains, subdomain_id): \"\"\" Dirichlet boundary condition with",
"\"\"\" super().__init__( V, value, subdomain_marker, subdomain_id, method='geometric' ) self.simulation =",
"%r for %s' % (value, var_name)) @register_boundary_condition('CodedValue') class CodedDirichletBoun... |
[
"2, 4, 6] result = count_inversions(input) self.assertEqual(result, 3) if __name__",
"TestCountSplitInversions(unittest.TestCase): def test_count_inversions(self): input = [1, 3, 5, 2, 4,",
"from count_split_inversions import count_inversions class TestCountSplitInversions(unittest.TestCase): def test_count_inv... |
[
"= get_x_y(train_num_samples) test_data = get_x_y(test_num_samples) if tf_data: from_tensor_slices = tf.data.Dataset.from_tensor_slices",
"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law",
"create_data() self.forecaster.fit(train_data, epochs=2, batch_size=32) yhat = self.fo... |
[
"vessel.flight(), 'mean_altitude') expr = conn.krpc.Expression.greater_than( conn.krpc.Expression.call(mean_altitude), conn.krpc.Expression.constant_double(10000)) event = conn.krpc.add_event(expr)",
"vessel.auto_pilot.disengage() srf_altitude = conn.get_call(getattr, vessel.flight(), 'surface_altitude') expr = c... |
[
"import numpy as np def get_rows(a): return list(a) def get_columns(a):",
"main(): np.random.seed(0) a=np.random.randint(0,10, (4,4)) print(\"a:\", a) print(\"Rows:\", get_rows(a)) print(\"Columns:\", get_columns(a))",
"return list(a.T) def main(): np.random.seed(0) a=np.random.randint(0,10, (4,4)) print(\"a:\"... |
[
"rank leaderboard_df = leaderboard_df.sort_values( by=['public ' + score_name, 'submitted at",
"= session.query(Event).filter_by(name=event_name).one() event_teams = session.query(EventTeam).filter_by(event=event).all() for event_team in event_teams: user_name",
"(df_scores_mean.loc[list(map_renaming.keys())] .... |
[
"1 if indent == 20: indent_Increasing = False else: indent",
"Python import time, sys indent = 0 # How many",
"Pause for 1/10th of a second if indent_Increasing: indent =",
"20: indent_Increasing = False else: indent = indent - 1",
"indent, end='') print('********') time.sleep(0.1) # Pause for 1/10th of a",... |
[
"print \"No token for you!!!\" sys.exit() def start(): # Projects",
"= get_compensations(host, token, site_pk=site['id'], project_pk=project['id']) if not compensation_list: sys.exit('There are",
"are no samples') for i, result in enumerate(sample_list['data']): print i,",
"= raw_input('Choose Compensation (r... |
[
"views.choose_company, name='choose_company'), url(r'^cleanlogs/$', jobs.cleanlogs, name='cleanlogs'), url(r'^primecache/$', jobs.primecache, name='primecache'), url(r'^dump_fixtures/$', views.dump_fixtures),",
"views from . import jobs urlpatterns = [ url(r'^choose_company/(?P<company_id>.*)/$', views.choose_com... |
[
"open(\"README.md\", \"r\") as fh: long_description = fh.read() setuptools.setup( name=\"i3-workspace-swap\", description='A",
"workplaces in i3wm', long_description=long_description, long_description_content_type=\"text/markdown\", version=\"1.1.0\", url='https://github.com/einzigartigername/i3-workspace-swap', ... |
[
"0 if successful def write_modmk(outdir): #, msg_types, srv_types): if not",
"providing access to foreign persons. # from __future__ import print_function",
"preventing the creating of Fprime directory: %s\"%dir) p = os.path.join(outdir,",
"to comply # with all U.S. export laws and regulations.",
"if len(ge... |
[
"new_notebook(cells=[new_code_cell('1+1'), new_code_cell('2\\n2')]) with pytest.raises(NotebookDifference) as exception_info: compare_notebooks(nb1, nb2, raise_on_first_difference=False) assert",
"ref = new_notebook(cells=[new_code_cell('1+1')]) test = new_notebook(cells=[new_code_cell('1+1', metadata={'metakey':... |
[
"= [ 'you unhinge your jaw and consume *{}* in",
"friends...', 'now you\\'re at both ends of a high five!']",
"makes me do this for uninitialized classes await ctx.channel.send(msg) return",
"\"\"\"High five like a boss.\"\"\" msg = self.highfives.computeAction(self.highfives, self.bot, ctx,",
"but they bit... |
[
"import CoinGame, AsymCoinGame from marltoolbox.utils import log def trainer_fn(exp_name, num_episodes,",
"\"batch_size\": 12 if debug else None, # \"exp_name\": \"IPD\", #",
"\"entropy_coeff\": 0.001, \"weigth_decay\": 0.03, } tune_config = get_tune_config(tune_hparams) ray.init(num_cpus=os.cpu_count(), num_gp... |
[
"data, ready for passing into AmCharts. Contains 2 items -",
"''' Return json format data, ready for passing into AmCharts.",
"= instance.__class__ query_set = class_.objects.filter(shortlink=new_link) if query_set.exists(): return create_shortlink() return",
"next year it will add results above result = []",... |
[
"'server:main', 'port' ): port = config_parser.get( 'server:main', 'port' ) host",
"else: exit(0) exit(0) def admin_user_info( config_parser ): user_info_config = os.path.abspath(",
") ) tree, error_message = xml_util.parse_xml( user_info_config ) if tree",
") else: return 1 if args.method == 'check_db': retu... |
[
"int(sequence_number) return self.backend.get_shard_iterator( arn, shard_id, shard_iterator_type, sequence_number ) def get_records(self):",
"dynamodbstreams_backends[self.region] def describe_stream(self): arn = self._get_param(\"StreamArn\") return self.backend.describe_stream(arn) def list_streams(self):",
"... |
[
"= '_zeros' enabled = True @classmethod def extract(cls, node): attrs",
"shape = list(attrs.tuple('shape', int, None)) zero_shapes = [] for i,",
"# Copyright (C) 2018-2021 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import",
"<reponame>ytorzuk-altran/openvino # Copyright (C) 2018-2021 Intel Corpor... |
[
"j.sal.process.executeWithoutPipe(\"cd %s;%s install\" % (cdest, self.npm)) # # def flatui(self):",
"# z.close() # j.sal.fs.renameDir(j.sal.fs.joinPaths(self.buildDir, \"bootstrap-%s-dist\" % version), dpath) # #",
"j class builder(): # @property # def buildDir(self): # return",
"\"bootstrap\") # j.sal.fs.rem... |
[
"PC = PROGC(0) # Start from the first instruction RF",
"RF compute new_PC RF.update(new_regs, new_PC) PC.dump() # Print PC RF.dump()",
"IM, cycle) # Update RF compute new_PC RF.update(new_regs, new_PC) PC.dump()",
"MEM = IMACC(sys.stdin.read()) # Load memory from stdin PC =",
"while not halted: Instruction ... |
[
"self.id & 0xFFF class ObjectPlusConverter(commands.converter.IDConverter[commands.Converter]): async def convert(self, ctx: commands.Context,",
"role: if role.is_bot_managed(): user = role.tags.bot_id user = await ctx.bot.try_user(user)",
"None: role = None with contextlib.suppress(commands.RoleNotFound, comma... |
[
"structure_klifs_ids = _parse_structure_klifs_ids(args.input) encode(structure_klifs_ids, args.output, args.local, args.ncores) def _parse_structure_klifs_ids(args_input): \"\"\"",
"structure_klifs_ids = [int(args_input[0])] except ValueError: structure_klifs_ids = np.genfromtxt(fname=args_input[0], dtype=int).to... |
[
"n = len(tsB) distanceProfile = mass(query, tsB) if selfJoin: trivialMatchRange",
"2. , 2.828, 2. ], [ 0. , 0. ,",
"0. ]]) \"\"\" selfJoin = False if tsB is None:",
"is None: selfJoin = True tsB = tsA query =",
"idx, m, tsB = None): \"\"\"Return the distance profile of",
"idx, m, tsB = None): \"\"\" >>> n... |
[
"as plt import numpy as np from sklearn import linear_model",
"import pyplot as plt import numpy as np from sklearn",
"pyplot as plt import numpy as np from sklearn import"
] |
[
"widgetName, widgetArea): \"\"\"创建停靠组件\"\"\" widget = widgetClass(self.mainEngine, self.eventEngine) dock = QDockWidget(widgetName)",
"self.eventEngine.register(EVENT_TIMER, self.signalStatusBar.emit) # ---------------------------------------------------------------------- def updateStatusBar(self, event): \"\"\"... |
[
"elif 'del' == mage[0]: notice = del_item(mage[1],user_id) line_bot_api.reply_message(event.reply_token,TextSendMessage(text=notice)) elif 'list'",
"TextSendMessage(text=register_url)) elif 'add' == mage[0]: try: notice = add_item(mage[1],user_id,mage[2]) except:",
"= event.source.user_id print(\"user_id =\", u... |
[
"Model() country = Country(mod, 'CO') Household(country, 'HH') ConsolidatedGovernment(country, 'GOV') FixedMarginBusiness(country,",
"'TAX', taxrate=.2) # At time period 25, cut spending to",
"= Quick2DPlot([k, k], [spend, Def], title='Spending and Deficit', filename='intro_X_XX_multiplier_deficit.png', run_now... |
[
"\"\"\" def __init__(self, user_settings=None, defaults=None): if user_settings: self._user_settings = user_settings",
"user settings for key, value in data.items(): data[key] = import_callable(value)",
"# Cache the result self._cached_attrs.add(attr) setattr(self, attr, val) return val",
"attr = path_or_call... |
[
"models.SlugField() counter = models.IntegerField(default=0) def __str__(self): return \"%s -- %s\"",
"models.IntegerField(default=0) def __str__(self): return \"%s -- %s\" % (self.long_url, self.short_id)",
"<filename>shorty/models.py from django.db import models from shorty.manager import UrlManager class",
... |
[
"only) User is allowed to create query (Create for \"query\"",
"'password', 'queries', 'realname', 'room', 'subst_active', 'substitute', 'timezone', 'tt_lines') only) User",
"'actor', 'creation', 'creator', 'deputy', 'description', 'id', 'is_extern', 'is_public_holiday', 'is_special_leave', 'is_vacation',",
"... |
[
"tc -= 1 best = 0 n, x = map(int,",
"x = map(int, input().split()) for i in range(n): s, r",
"n, x = map(int, input().split()) for i in range(n): s,",
"in range(n): s, r = map(int, input().split()) if x >=",
"for i in range(n): s, r = map(int, input().split()) if",
"<filename>CodeChef/problems/IMDB/main.p... |
[
"test_find_user_dict_mode(self): w = self.wrp w.query_mode = 'dict' res = w.insert_user('John',",
"test_find_user_nonexistent(self): w = self.wrp user = w.find_user(99) self.assertIsNone(user) def test_get_users_tuple(self):",
"w.query_mode = 'dict' res = w.insert_user('John', 'Doe') last_id = res.lastrowid",
... |
[
"variant('build_dev_tests', default=False, description='Build developer test routines') variant('build_tests', default=False, description='Build test",
"variant('zfp', default=True, description='Build with support for compression using ZFP') variant('c_interface',",
"libs.joined(\";\"), ] if spec.satisfies('@:3... |
[
"from rasa.core.constants import REQUESTED_SLOT from rasa.core.slots import Slot import pandas",
"CollectingDispatcher, tracker: Tracker, domain: Dict[Text, Any], ) -> List[Dict]: if",
"return [\"rating\"] def slot_mappings(self) -> Dict[Text, Union[Dict, List[Dict]]]: \"\"\"A dictionary",
"parse_data={ \"int... |
[
"\"p3\"]: series = dataframe[sensor] scatter = go.Scatter(x = dataframe.index, y",
"series = dataframe[sensor] scatter = go.Scatter(x = dataframe.index, y =",
"title = \"Pressure timeseries\", template = self.template ) ) return",
"for a timeseries ''' def generate_timeseries_plot(self, dataframe): pressure_p... |
[
"kind: str :param location: Required. Resource Location. :type location: str",
"Key Vault secret. Possible values include: 'Initialized', 'WaitingOnCertificateOrder', 'Succeeded', 'CertificateOrderFailed',",
"must be populated in order to send to Azure. :ivar",
".resource import Resource class AppServiceCerti... |
[
"class RemoveStickerFromSetRequest(TLRequest): CONSTRUCTOR_ID = 0xf7760f51 SUBCLASS_OF_ID = 0x9b704a5a def __init__(self,",
"{ '_': 'RemoveStickerFromSetRequest', 'sticker': None if self.sticker is None else",
"Instance of StickerSet. \"\"\" self.stickerset = stickerset # type: TypeInputStickerSet",
"\"\"\" :... |
[
": \"VtkOutputProcess\", \"help\" : \"This process writes postprocessing files for",
"from KratosMultiphysics.ChimeraApplication.fluid_chimera_analysis import FluidChimeraAnalysis class ChimeraAnalysisBaseTest(UnitTest.TestCase): def setUp(self): # Set",
"ChimeraAnalysisBaseTest(UnitTest.TestCase): def setUp(se... |
[
"def getlist(self) -> list[dict[str, str]]: ENTRY = r\"{http://www.w3.org/2005/Atom}\" MEDIA =",
"-> list[dict[str, str]]: ENTRY = r\"{http://www.w3.org/2005/Atom}\" MEDIA = r\"{http://search.yahoo.com/mrss/}\" YOUTUBE",
"res: data = xml.etree.ElementTree.fromstring(res.read()) for child in data.iter(f\"{ENTRY}... |
[
"PORT = 9559 simulation = False with pepper_interface.get(IP,PORT,simulation) as pepper:",
"with pepper_interface.get(IP,PORT,simulation) as pepper: time.sleep(1.0) values,time_stamp = pepper.laser.get() print print",
"print \"Left\" print values[\"Left\"] print print \"Right\" print values[\"Right\"] print",
... |
[
"o texto doc = ____(\"I like tree kangaroos and narwhals.\")",
"classe da língua inglesa (English) e criar um objeto nlp",
"# Processar o texto doc = ____(\"I like tree kangaroos",
"Selecionar o primeiro token first_token = doc[____] # Imprimir o",
"objeto nlp from ____ import ____ nlp = ____ #",
"first_t... |
[
"are on the thank you page content = resp.get_data(True) self.assertRegex(content,",
"Business Survey - Retail Sales Index</') self.assertRegex(content, \"What are the",
"'Please check carefully before submission.') self.assertRegex(content, '>Submit answers<') # We",
"follow_redirects=False) self.assertEqual... |
[
"transform batch_indices to pair_indices pair_indices = tf.transpose(tf.concat([broad_casted_batch_dims, tf.reshape(batch_indices, [1, -1])],",
"input IDs?](../glossary#input-ids) attention_mask (`np.ndarray` or `tf.Tensor` of shape `({0})`, *optional*):",
"its model (such as downloading or saving, resizing the... |
[
"guess a letter and respond to the # user based",
"result = result + letter else: result = result +",
"wordlist: list of strings wordlist = string.split(line) print \" \",",
"user to guess a letter and respond to the #",
"you will have to know how to use the functions",
"from wordlist at random \"\"\" ret... |
[
"port) self.image = None self.message_content = None self.sub_order_id = None",
"Created by auto_sdk on 2016.04.13 ''' from top.api.base import RestApi",
"by auto_sdk on 2016.04.13 ''' from top.api.base import RestApi class",
"''' Created by auto_sdk on 2016.04.13 ''' from top.api.base import",
"''' from to... |
[
"be used. When -1 is set all data is used.\")",
"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law",
"# limitations under the License. def get_args(batch_size=8, image_size=256, max_iter=100000): \"\"\"",
"parameters from\") parser.add_argument(\"--train-samples\", type=int,... |
[
"my_content = f.readlines() print(\"\\nUse readlines method\") print(\"-\" * 60) for",
"print(\"-\" * 60) for line in my_content: print(line.strip()) print(\"-\" *",
"# READ #### f = open(\"my_file.txt\") print(\"\\nLoop directly over file\")",
"file\") print(\"-\" * 60) for line in f: print(line.strip()) pri... |
[
"int] = { 'limit': 20, 'offset': 0 } datasets: List[DatasetType]",
"name=cls.unique_name, dataset_format='ini', content='aGVsbG8sIHdvcmxkIQ==', tags=['test_tag'] ) @classmethod def tearDownClass(cls) -> None:",
"because Self-Host will return HTTP 429 Too Many Requests otherwise.",
") cls.unique_name: str = st... |