ngram listlengths 0 82k |
|---|
[
"user to set this property. For more information, please refer",
"core.VarDesc.VarType.FP16 or dtype == core.VarDesc.VarType.BF16) return is_fp_dtype def is_integer(x): \"\"\"Return",
"\"\"\" Returns a new tensor containing imaginary values of input",
"return core.VarDesc.VarType.FP32 elif dtype == core.VarDe... |
[
"\"\"\"Raised when a release has a non-string 'date' value\"\"\" class",
"non-string 'date' value\"\"\" class InconsistentTypeError(OCDSMergeError, TypeError): \"\"\"Raised when a path",
"message): self.key = key self.message = message def __str__(self): return",
"same array have the same value for the 'id' f... |
[
"buttons1_state = buttons1_state | self.state[\"BTN_A\"] buttons1_state = buttons1_state | self.state[\"BTN_B\"]",
"<< 3 buttons2_state = buttons2_state | self.state[\"BTN_TL\"] << 4 packet",
"buttons2_state = buttons2_state | self.state[\"BTN_TL\"] << 4 packet = struct.pack('6h2c',",
"'{0:06b}'.format(int.fr... |
[
"run at 640x480 in grayscale... def barcode_name(code): if(code.type() == image.EAN2):",
"# must turn this off to prevent image washout... sensor.set_auto_whitebal(False)",
"a higher resolution # to work well so it should",
"higher resolution # to work well so it should always",
"# V Res of 80 == less work ... |
[
"<reponame>devaslooper/Code-Overflow n=int(input(\"Enter number \")) fact=1 for i in range(1,n+1): fact=fact*i",
"n=int(input(\"Enter number \")) fact=1 for i in range(1,n+1): fact=fact*i print(\"Factorial",
"\")) fact=1 for i in range(1,n+1): fact=fact*i print(\"Factorial is \",fact)",
"number \")) fact=1 fo... |
[
"o paramêtro. Permite atribuir inumeros parametros. def maior(* num): contador",
"= contador + 1 print(f'{v} ', end='', flush=True) time.sleep(0.3) if",
"1: maior = v else: if v > maior: maior",
"import time # O * é para desempacotar o paramêtro.",
"if contador == 1: maior = v else: if v",
"7) maior(5, 4,... |
[
"can only be 2-dimensional.\"): values = torch.rand((100, 50, 2), device=device)",
"80], dtype=torch.int64, device=device) padded_to_packed(values, first_idxs, 20) with self.assertRaisesRegex(ValueError, \"input can",
"device=device) first_idxs = torch.tensor([0, 80], dtype=torch.int64, device=device) packed_to... |
[
"geotiff.get_header('file/tiff_test/2_12.tif')) imarray, offset = geotiff.clip_roi(poly_pixel, 'file/tiff_test/2_12.tif', is_geo=False) assert len(imarray) ==",
"because WGS 84 / UTM ... should be full out_dict",
"rgb, lzw * 256 image_width (1H) 19436 * 257 image_length",
"to int, fixed by astype(float) mean_... |
[
"self._city @city.setter def city(self, city): \"\"\"Sets the city of this",
"\"\"\" self._address_line2 = address_line2 @property def city(self): \"\"\"Gets the city",
"lambda x: x.to_dict() if hasattr(x, \"to_dict\") else x, value ))",
"help, refer to <a href='https://developer.ebay.com/api-docs/buy/marketp... |
[
"100 data.sort(key=lambda x: x[1]/x[2], reverse=True) profit=0 ans=[] i=0 while i<n:",
"[40,50,30,10,10,40,30] pro = [30,20,20,25,5,35,15] n = len(wt) data = [",
"for i in range(n) ] bag = 100 data.sort(key=lambda x:",
"reverse=True) profit=0 ans=[] i=0 while i<n: if data[i][2]<=bag: bag-=data[i][2] ans.appen... |
[
"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law",
"'avx512') _emit_function(fe, avx512_kmask_op, 'avx512_maskop') _emit_function(fe, avx_isa_sets, 'avx') _emit_function(fe, sse_isa_sets, 'sse')",
"in SSE are # \"SSE-opcodes\" with memop operands. One can",
"and not re.sea... |
[
"deleted.' @pytest.mark.vcr() def test_target_groups_edit(client, new_target_group): target_group = new_target_group edited_name =",
"'test_target_group_edit' edited_group = client.target_groups_api.edit(TargetListEditRequest(name=edited_name), target_group.id) assert isinstance(edited_group, TargetGroup), u'The ... |
[
"= torch.sqrt(CQT_real.pow(2)+CQT_imag.pow(2)+1e-8) return CQT elif output_format=='Complex': return torch.stack((CQT_real,CQT_imag),-1) elif output_format=='Phase':",
"value is 'hann' pad_mode : str The padding method. Default",
"function to get back another half if onesided: X =",
"time)) if return_extras: ... |
[
"= get_kobart_tokenizer() else: self.tok = tok self.num_workers = num_workers @staticmethod",
"pytorch_lightning import loggers as pl_loggers from torch.utils.data import DataLoader, Dataset",
"'step', 'frequency': 1} return [optimizer], [lr_scheduler] class KoBARTConditionalGeneration(Base): def __init__(self,... |
[
"state_class=sensor.STATE_CLASS_MEASUREMENT, last_reset=LAST_RESET_UPTIME, ), (\"roller\", \"rollerEnergy\"): BlockAttributeDescription( name=\"Energy\", unit=ENERGY_KILO_WATT_HOUR, value=lambda value:",
"-> None: \"\"\"Initialize sensor.\"\"\" super().__init__(wrapper, block, attribute, description) self._last_v... |
[
"QUERY_KWARGS['GET']['facet_size']['default'] = 3 QUERY_KWARGS['GET']['facet_size']['max'] = 5 QUERY_KWARGS['POST']['q']['jsoninput'] = True #",
"'bts_test' ES_DOC_TYPE = 'gene' ES_SCROLL_SIZE = 60 # ***************************************************************************** #",
"\"\"\" import os from biothin... |
[
"try: model.image.render_variations(replace=False) except FileNotFoundError: logger.error(f\"ERROR: Image file '{img}' is missing\")",
"from django.db.utils import OperationalError, ProgrammingError from company.models import Company from",
"importing a new dataset, for example \"\"\" import os import",
"miss... |
[
"184, 195, 1)\" elif background[0] == \"#\" or \"(\" not",
"text[:last_percent] _carbon_url = \"https://carbonnowsh.herokuapp.com/\" def code_to_url(code: str) -> str: return",
"hex (str): \"\"\" return tuple(int(hex.lstrip(\"#\")[i : i + 2], 16)",
"text[:2000].rindex(\"%25\") return text[:last_percent] _carb... |
[
"URN or URL import spotipy_twisted import sys import pprint if",
"if len(sys.argv) > 1: urn = sys.argv[1] else: urn =",
"import spotipy_twisted import sys import pprint if len(sys.argv) > 1:",
"a URN or URL import spotipy_twisted import sys import pprint",
"info for a URN or URL import spotipy_twisted impor... |
[
"MCP from adafruit_mcp3xxx.analog_in import AnalogIn # create the spi bus",
"AnalogIn(mcp, MCP.P0) print(\"Raw ADC Value: \", chan.value) print(\"ADC Voltage: \"",
"# create the spi bus spi = busio.SPI(clock=board.SCK, MISO=board.MISO, MOSI=board.MOSI)",
"Value: \", chan.value) print(\"ADC Voltage: \" + str(c... |
[
"['tabular_data'] @data_factory(label=\"ASCII Table\", identifier=has_extension('csv txt tsv tbl dat ' 'csv.gz",
"in [astropy_tabular_data, pandas_read_table]: try: return fac(path, **kwargs) except Exception: pass",
"has_extension from glue.config import data_factory __all__ = ['tabular_data'] @data_factory(la... |
[
"( Author.objects.filter(project__in=project_list).distinct().exclude(pk=author_id) ) return render( request, \"code_doc/authors/author_details.html\", { \"project_list\": project_list,",
"projects = Project.objects.filter(administrators=maintainer) return render( request, \"code_doc/maintainer_details.html\", {\... |
[
"\"generated_files\" # TODO: ugly parent.parent pathing if os.path.exists(GEN_FILE_DIR): sys.path.append(GEN_FILE_DIR) if",
"{}\".format(dtb_json.split(os.sep)[-1], arch, soc_sloc)) # Final stats ac.print_mean_median_std_dev_for_dict_of_lists(soc_sloc_by_arch, \"\\nSloc Per Soc,",
"import analyses_common as ac ... |
[
"decay progress = float(self.tokens - self.warmup_tokens) / float( max(1, self.final_tokens",
"progress))) lr = self.learning_rate * lr_mult for param_group in optimizer.param_groups:",
"(i.e. label is not -100) if self.tokens < self.warmup_tokens: #",
"linear warmup lr_mult = float(self.tokens) / float(max(1... |
[
"set to True, all Apprise Config files marked to be",
"dealing # with a YAML file. # - If we",
"LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A",
"six.string_types): # We're just a simple URL string... schema =",
"if not otherwise detected encoding = 'utf-8' # The default",
"when working wit... |
[
"AV_LOG_QUIET = \"quiet\" AV_LOG_PANIC = \"panic\" AV_LOG_FATAL = \"fatal\" AV_LOG_ERROR",
"\"panic\" AV_LOG_FATAL = \"fatal\" AV_LOG_ERROR = \"error\" AV_LOG_WARNING = \"warning\"",
"\"info\" AV_LOG_VERBOSE = \"verbose\" AV_LOG_DEBUG = \"debug\" ffmpeg_loglevel = AV_LOG_ERROR",
"'win32' in str(sys.platform).... |
[
"setuptools import setup setup( name=\"nmn-iwp\", version=\"0.1\", keywords=\"\", packages=[\"vr\", \"vr.models\"] )",
"from setuptools import setup setup( name=\"nmn-iwp\", version=\"0.1\", keywords=\"\", packages=[\"vr\", \"vr.models\"]"
] |
[
"prepare_add(self, num_add_nodes): \"\"\" Make sure that ``num_add_nodes`` can be added",
"are subdivided their identity is not lost. \"\"\" tri_nums =",
"the uniformly spaced grid points x_grid = np.arange(x_min, x_max +",
"veh_up = np.array([0., 1., 0.]) rot_around = np.cross(veh_up, np.array([0, 0,",
"ar... |
[
"locked pad. 2. decrypt(cipher_text,locked_pad,passphrase) - Decrypt the cipher text encrypted",
"operated=contain(int(target_list[counter])-pad[counter],ascii_value) result.append(operated) return result def locker(pad,passphrase): cutter=round(len(passphrase)/2) splited=[passphrase[:cutter],passphrase[cutter:]]... |
[
"__init__(self, error_element, error_namespace, error_name=None): self.error_name = error_name self.element = ET.Element(error_element)",
"def __unicode__(self): if self.error_name is not None: self.element.append(ET.Element(self.error_name)) return unicode(ET.tostring(self.element))",
"= ET.Element(error_eleme... |
[
"== 'left': return {'type': 'head-on', 'identifier': 'left', 'direction': direction} elif",
"head['x'] == width and direction =='down' or head['x'] == width",
"2 else: return len(my_position) def getMyDirection(gamedata): me = gamedata['you'] my_position",
"and direction == 'up' or head['x'] == 0 and directio... |
[
"str, has_master: bool, master_only: bool, bullet: bool, mates: bool) ->",
"score.mate() if mate is not None: return 1 if mate",
"import chess import chess.engine from model import EngineMove, NextMovePair from",
"480) except: return True def exclude_rating(line: str, mates: bool) ->",
"False try: return in... |
[
"from datetime import datetime def main(): while True: a =",
"= datetime.now() if n.hour == 6 and (n.minute-(n.minute%5)) == 15:",
"time, morning from datetime import datetime def main(): while True:",
"time.mktime(datetime.now().timetuple()) n = datetime.now() if n.hour == 6 and (n.minute-(n.minute%5))",
"... |
[
"inside a context manager context_mock = Mock() invoke_context_mock.return_value.__enter__.return_value = context_mock",
"@patch(\"samcli.commands.local.start_lambda.cli.InvokeContext\") def test_must_raise_user_exception_on_invalid_sam_template(self, invoke_context_mock): invoke_context_mock.side_effect = Invali... |
[
"def test_get_data_correct_df(self): \"\"\"Whether it returns correct df when input is",
"indicator type self.assertEquals( Getter(table_name=IndicatorType, df_flag=True, param_list=self.param_list_indicator_type).get_data() .equals( Converter(obj_list=list(IndicatorType.objects.filter(**self.param_list_indicator... |
[
"..registry import TRAINERS @TRAINERS.register_module() class MMDetectionTrainer(BaseTrainer): def __init__(self): super(MMDetectionTrainer, self).__init__()",
"Corporation Licensed under the Apache License, Version 2.0 (the \"License\");",
"for t in cfg.data.train.pipeline if t['type'] == 'Resize'][0][ 'img_sc... |
[
"complixities # for each file files = {} # Build",
"containing the number of potentially duplicated # constants by file",
"of potentially duplicated # constants by file for result in",
"in: ([^:]+).+\\n?', cyclostats) files = {} # Build an array",
"occurrence\\(s\\) of \\\"(.+)\\\" found in: ([^:]+).+\\n?',... |
[
"bool(_get_error_list(code)) i1 = 'from __future__ import division' i2 = 'from",
"('1 +\\n', [(1, 3)]), ('1 +\\n2 +', [(1, 3), (2,",
"can't assign to keyword\", 'SyntaxError: cannot assign to __debug__'], line_nr",
"0)]), ('def x():\\n 1\\n 2', [(3, 0)]), ('def x():\\n 1\\n",
"+ '\\n' + i2) assert not is_is... |
[
"'+': modifier = PROMOTE else: modifier = None yield Move(color[step",
"import Coords, Move, BLACK, WHITE, DROP, PROMOTE RANKNUM = {",
"unicode_literals from shogitk.shogi import Coords, Move, BLACK, WHITE, DROP, PROMOTE",
"elif line[0].isupper(): dst = Coords(int(line[2]), RANKNUM[line[3]]) yield Move(color[... |
[
"collateral ratio\") @click.option( '--liquidation-duration', type=int, help=\"The liquidation duration in minutes\")",
"import click from . import utils @click.group() def main(): \"Simple",
"score) tx_hash = utils.send_transaction(func, 0, private_key) return tx_hash @main.command() @click.option(",
"the tr... |
[
"= self.machine.session() self.session.run(f\"cd {project_path}\") return old_apply(self, project) cls.apply = new_apply",
"new_apply(self, project): with self.machine.tempdir() as tempdir: project_path = tempdir /",
"project.files(): if f.name in existing_files: copy(f.path, project_path / f.name) with",
"us... |
[
"float(input('digite o seu salario: ')) aumento = (salario + (salario",
"seu salario: ')) aumento = (salario + (salario * 15)/100",
"15)/100 if salario <= 1250 else salario + (salario *",
"if salario <= 1250 else salario + (salario * 10)/100)",
"o seu salario: ')) aumento = (salario + (salario *",
"salari... |
[
"t = get_tree(\"local-branches\") self.assertEqual(t, []) t = get_tree(\"remote-branches\") self.assertEqual(t, [])",
"import os import os.path import airflow import airflow.plugins_manager from airflow",
"airflow import configuration from flask import Flask from unittest import",
"0) self.assertTrue('git' in... |
[
"= \"super-secret\" # Change this! jwt = JWTManager(app) # Standard",
"a fresh access token and # a refresh token @app.route(\"/login\",",
"to be used if we need to # make a",
"methods=[\"GET\"]) @fresh_jwt_required async def protected_fresh(): username = get_jwt_identity() return dict(fresh_logged_in_as=user... |
[
"import Any, Dict, Union __all__ = 'AnyDict' AnyDict = Dict[str,",
"= Dict[str, Any] # pragma: no mutate datetime_or_str = Union[datetime,",
"'AnyDict' AnyDict = Dict[str, Any] # pragma: no mutate datetime_or_str",
"Any] # pragma: no mutate datetime_or_str = Union[datetime, str] #",
"Union __all__ = 'AnyDic... |
[
"preds = Dense(1,activation='linear')(inputs) model = Model(inputs=inputs,outputs=preds) sgd = keras.optimizers.SGD() model.compile(optimizer=sgd",
"= Model(inputs=inputs,outputs=preds) sgd = keras.optimizers.SGD() model.compile(optimizer=sgd ,loss='mse') model.fit(x_,y_, batch_size=1, verbose=1,",
"import kera... |
[
"the hardware layer to avoid errors. from ledshimdemo.canvas import Canvas",
"unittest.mock import Mock, patch import sys sys.modules['smbus'] = Mock() #",
"type: int def test_cheerlight_call(self): canvas = Canvas(self.TEST_CANVAS_SIZE) effect = CheerLightsEffect(canvas)",
"= 3 # type: int def test_cheerligh... |
[
"tqdm(chunked)] out_dict = {} for i, d in enumerate(dicts): for",
"from tqdm import tqdm import os import tifffile def chunk_list(l,",
"'All cells must have the same data elements' out_dict =",
"import add_readout_noise, draw_poisson from colicoords import load import numpy as",
"shape, max_dist=5): thetas ... |
[
"self._id = settings[\"id\"] self._title = settings[\"title\"] self._type = settings[\"type\"][\"name\"] self._value",
"DeviceSettings: def __init__(self, settings): self._id = settings[\"id\"] self._title = settings[\"title\"]",
"= settings[\"title\"] self._type = settings[\"type\"][\"name\"] self._value = set... |
[
"a word: \") if word == \"a\": print(\"one; any\") elif",
"print(\"one; any\") elif word == \"apple\": print(\"familiar, round fleshy fruit\")",
"any\") elif word == \"apple\": print(\"familiar, round fleshy fruit\") elif",
"word: \") if word == \"a\": print(\"one; any\") elif word",
"elif word == \"rhinoce... |
[
"0 for i in range(len(num)): sum = sum + num[i]",
"input())) sum = 0 for i in range(len(num)): sum =",
"int(input()) num = list(map(int, input())) sum = 0 for i",
"<gh_stars>0 cnt = int(input()) num = list(map(int, input())) sum =",
"for i in range(len(num)): sum = sum + num[i] print(sum)",
"list(map(int,... |
[
"version = '0.1', description = 'Kubernetes resource discovery toolkit', author",
"repo download_url = 'https://github.com/sdnhub/kube-navi/archive/0.1.tar.gz', # I'll explain this in a",
"above version = '0.1', description = 'Kubernetes resource discovery toolkit',",
"= ['testing', 'logging', 'example'], # a... |
[
"OF ANY # KIND, either express or implied. See the",
"stringValue from ai_flow.common.properties import Properties from ai_flow.meta.metric_meta import MetricMeta, MetricType,",
"= ast.literal_eval(properties) return MetricMeta(uuid=metric_meta_result.uuid, name=metric_meta_result.name, dataset_id=metric_meta_r... |
[
"initElement(self): self.打开帮助按钮 = QPushButton(self.tr('打开帮助文档')) self.ffmpegMannualNoteButton = QPushButton(self.tr('查看作者的 FFmpeg 笔记')) self.openVideoHelpButtone",
"PySide2.QtCore import Signal from moduels.component.NormalValue import 常量 from moduels.component.SponsorDialog import",
"def __init__(self): super(... |
[
"typing import Callable, Optional, Type, cast from fastapi import APIRouter,",
"import users from app.common.user import ErrorCode, run_handler from app.users.user import",
"from app.models import users from app.common.user import ErrorCode, run_handler from",
"Optional, Type, cast from fastapi import APIRout... |
[
"= np.where(nans) flow_magnitude[nans] = 0. # Normalize hsv[..., 0] =",
"coding: utf-8 -*- import cv2 import numpy as np def",
"np.any(nans): nans = np.where(nans) flow_magnitude[nans] = 0. # Normalize hsv[...,",
"import numpy as np def flow_to_img(flow, normalize=True): \"\"\"Convert flow to",
"we do here.... |
[
"B*ratr < R: leafcount = leafcount + 1 total =",
"speed = 8 leafcount = 0 total = 0 for",
"= 0 total = 0 for i in range(0, int(imWidth/speed)):",
"G and B*ratgb < G and B*ratr < R: leafcount",
"parser = argparse.ArgumentParser() parser.add_argument('fname') parser.add_argument('pref', default=\"\", nargs=\"... |
[
"choices=['GiB', 'TiB', 'gib', 'tib'], default='TiB') args = parser.parse_args() vip =",
"consumed / capacity, 0) storageReduction = round(float(logicalSize) / consumed, 1)",
"% (startMsecs, cluster['clusterId'], endMsecs)) parseStats(cluster['name'], capacityStats['dataPointVec'][0], 'capacity') parseStats(clu... |
[
"number): im = Image.open(self.filename) im1 = im.resize((64,64), Image.ANTIALIAS); # 转换为64x64",
"classname = n[num] proba = knn.predict_proba(query_feature) msg = [num, classname,",
"def classifyImage(self, feature_X, label_y, number): im = Image.open(self.filename) im1 =",
"= b.query(self.feature, k=3) prin... |
[
"\"mygroup\", }, ) judge_command( \"XINFO GROUPS mystream\", {\"command\": \"XINFO\", \"stream_groups\":",
"STREAMS mystream writers 0-0 0-0\", { \"command\": \"XREAD\", \"count_const\": \"COUNT\",",
"}, ) judge_command( \"XINFO STREAM mystream FULL count 10\", {",
"\"stream_id\": [\"1526985054069\", \"152698... |
[
"def test_main(self): with patch('find_forks.find_forks.find_forks', return_value=None) as find_forks_mock: main() sent_args =",
"in test_interesting.py.\"\"\" response_mock = MagicMock() response_mock.read = Mock(return_value=json_response) if PY3:",
"else: response_mock.code = 200 response_mock.info = Mock(re... |
[
"if self.dist_fip_count == 0: #remove default route entry device =",
"get_floating_ips(self): \"\"\"Filter Floating IPs to be hosted on this agent.\"\"\"",
"fip_cidr): \"\"\"Remove floating IP from FIP namespace.\"\"\" floating_ip = fip_cidr.split('/')[0]",
"= ('POSTROUTING', '! -i %(interface_name)s ' '! -o ... |
[
"module defines several custom warning category classes. \"\"\" class SiderWarning(Warning):",
"class SiderWarning(Warning): \"\"\"All warning classes used by Sider extend this",
"for warnings about performance worries. Operations that warn this category",
"\"\"\"The category for warnings about performance wo... |
[
"siteUrl isAdult nextAiringEpisode { timeUntilAiring episode } } } \"\"\"",
"native } synonyms status description startDate { year month day",
"} bannerImage genres averageScore siteUrl isAdult popularity } } }",
"User(search: $search) { id name html_about: about(asHtml: true) about avatar",
"$sort: [MediaS... |
[
"suite = unittest.TestSuite() all_names = globals() for name in all_names:",
"chainop class BasicChainTest (unittest.TestCase): def testBasicChain(self): double = lambda x:",
"def testMultiChain(self): double = lambda x: x * 2 self.assertEqual([62,",
"lambda x: x * 2 self.assertEqual(62, chainop.basic_chain((... |
[
"from algs import trpo from env_makers import EnvMaker from models",
"os.system(\"rm -rf {}\".format(log_dir)) with logger.session(log_dir): env_maker = EnvMaker('Pendulum-v0') env =",
"logger.session(log_dir): env_maker = EnvMaker('Pendulum-v0') env = env_maker.make() policy = GaussianMLPPolicy(",
"import nu... |
[
"10:17 # @Author: <EMAIL> \"\"\" 正则解析器 \"\"\" try: import xml.etree.cElementTree",
"et import re class RegexEngine: def __init__(self, xml, str_): \"\"\"加载正则表。正则表为xml",
"'False').lower() == 'true': self._part_tag(root) return list(filter(lambda x: x[1], self.data)) else:",
"import xml.etree.ElementTree as et ... |
[
"internal sklearn DecisionTreeClassifier \"\"\" def __init__(self, kwargs={}): self.kwargs = kwargs",
"A dictionary containing metrics for judging network performance. fit_kwargs :",
"Input data matrix. Returns ------- X_transformed : ndarray The transformed",
"identify if the network is pretrained. compile_k... |
[
"self.n_states = len(np.unique(self.states)) self.trans = self.model.transmat_.copy() def rho_dt_bins(self, rho, theta,",
"<NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>. Time series modeling of",
"projection (str): cartesian or polar. ymax (int) \"\"\" avail_proj =",
"dt.sum() def norm_state_time(self): \"\"... |
[
"redirect from django.views import View from django.views.generic import ( ListView,",
"user = Account.objects.filter(is_superuser=False).count() rest = Restaurant.objects.all().count() rating = RestaurantReview.objects.exclude(rating__isnull=True).count() review",
"import * from account.forms import * from dat... |
[
"= asyncio.create_task(preview_window(dst_queue, threadpool)) try: while True: im = await ws.receive_bytes()",
"= [int(cv2.IMWRITE_JPEG_QUALITY), 40] _, im = await loop.run_in_executor(threadpool, lambda: cv2.imencode('.jpg',",
"loop.run_in_executor(threadpool, src.read) im = cv2.resize(im, (640, 384)) enc_para... |
[
"+ str(len(self._cache)) + ' size: ' + bytes_2_human_readable( sys.getsizeof(self._cache))) def",
"Read cache entries :param key: :return: \"\"\" self._lock.acquire() result =",
"\"\"\" Read complex cache entries \"\"\" return self.get(self._get_id(list_of_keys)) def cache_complex(self,",
"are some old entrie... |
[
"if __name__ == '__main__': parser = ArgumentParser() parser.add_argument(\"--nsst_file\", default=\"output/nsst_tss20_th4_nSt100_Q0.pkl\", help=\"nsst",
"word in src.split(\" \") if len(word)] token_tgt = [nsst.tokenization_tgt[word] if",
"[w for w in reg[0].split(' ') if len(w)] pred_str =",
"= ArgumentPars... |
[
"sum(data) / len(data) def stddev(data, size): sum = 0 for",
"functionts def mean(data): return sum(data) / len(data) def stddev(data, size):",
"= sum + (data[i] - mean(data)) ** 2 return math.sqrt(sum",
"math # Define functionts def mean(data): return sum(data) / len(data)",
"Import library import math # D... |
[
"if len(word1)==1: code+=word1+word2 return code else: code+=word1[0]+word2[0] return decode(word1[1:],word2[1:],code) Alice='Ti",
"code+=word1[0]+word2[0] return decode(word1[1:],word2[1:],code) Alice='Ti rga eoe esg o h ore\"ermetsCmuainls'",
"else: code+=word1[0]+word2[0] return decode(word1[1:],word2[1:],co... |
[
"2.0 (the \"License\"); # you may not use this file",
"} ) self._plot_factory(g) return g def _plot_factory(self, graph): graph.new_plot( zoom=True,",
"= True elif has_bounds: g.clear() self._plot_factory(g) self.warning_dialog(\"{} does not have",
"zoom=True, pan=True, padding=[50, 10, 10, 40], xtitle=\"Setp... |
[
"detransposed recorded games for the next move recommended_move = maximin(maximin_list)",
"these_probs = reoriented_candidates[this_game][\"probs\"][num_moves].copy( ) # tack on the cell #",
"in range(len(reoriented_candidates)): these_probs = [] # get the probability element",
"tg_list) # for each of the 8 t... |
[
"# python 线程测试 import _thread import time from yvhai.demo.base import",
"in range(times): time.sleep(interval) print(\" -- %s: %s\" % (thread_name, time.ctime(time.time())))",
"print_time(thread_name, interval, times): for cnt in range(times): time.sleep(interval) print(\" --",
"6)) except: print(\"Error: 无法启... |
[
"\"similarity_type\" LOSS_TYPE = \"loss_type\" NUM_NEG = \"number_of_negative_examples\" MAX_POS_SIM = \"maximum_positive_similarity\"",
"constants for configuration parameters of our tensorflow models LABEL =",
"by tf.one_hot. LABEL_PAD_ID = -1 HIDDEN_LAYERS_SIZES = \"hidden_layers_sizes\" SHARE_HIDDEN_LAYERS ... |
[
"= normaiseAngle(self.start_heading + 80 * -(1 if self.left_or_right == self.RIGHT",
"= 1 * math.pi / 180 steer_speed = speed *",
"self.ds_index = distance_sensor_index self.wall_point_kind = wall_point_kind self.left_mid_point_index = left_mid_point_index self.left_point_index",
"== MazeAttitude.LEFT_WALL: w... |
[
"['Metric'], 'spaceone.monitoring.interface.grpc.v1.project_alert_config': ['ProjectAlertConfig'], 'spaceone.monitoring.interface.grpc.v1.escalation_policy': ['EscalationPolicy'], 'spaceone.monitoring.interface.grpc.v1.event_rule': ['EventRule'], 'spaceone.monitoring.interface.grpc.v1.webhook': ['Webhook'], 'spaceo... |
[
"= models.ForeignKey(OrgUnit) class House(models.Model): address = models.CharField(max_length=32) class OrderedPerson(models.Model): name",
"= models.TextField() class Contact(models.Model): label = models.CharField(max_length=100) class Email(Contact): email_address",
"models.CharField(max_length=25) awards =... |
[
"descriptors with SIFT kp1, des1 = sift.detectAndCompute(img1,None) kp2, des2 =",
"# Display Images cv2.imshow(\"Objects Detected\",raw_image) cv2.waitKey(0) cv2.destroyAllWindows() return cX,cY ############################################################",
"(cX2-cX) deltaY = -(CY2-cY) # Write X and Y values",
... |
[
"dash.dependencies import Input, Output, State import dash_bootstrap_components as dbc import",
"right provides some \" \"close alternatives.\" ), className=\"card-text\", ), ]",
"i in range(2, 6)], *[Output(f\"other-results-tooltip-{i}\", \"children\") for i in range(2,",
"ids = [] i = 2 for index, row in",
... |
[
"a closure turning objectify into a single argument function. This",
"properties for a given class. Recursively calls up to parent",
"an instance of the class created using the JSON data.",
"obj.__class__ # Create empty data data = {} sprops,cprops =",
"a given class. Recursively calls up to parent classes ... |
[
"Processing the arguments args = vars(ap.parse_args(argv)) type_ = str(args[\"type\"]) verbosity_level",
"the trained modeL. :param type_acquisition: String, \"SEM\" or \"TEM\" :param",
"dictionary version of the configuration file from the path where",
"= acquisition_name.stem if selected_model == \"default_... |
[
"h_testing.bootstrap_CI(5000) print (mean_SD(s1), mean_SD(s2)) print (\"h_testing.d, analytic, correction = \",",
"(a - b) < math.fabs((a + b) / (count_error *",
"in range(length): sample.append(random.gauss(mean, sigma)) return sample def close_enough (a, b,",
"= \", h_testing.d, (m2 - m1) / sig, h_testing.c... |
[
"import path from . import views urlpatterns = [ path('',",
"path from . import views urlpatterns = [ path('', views.Records,",
". import views urlpatterns = [ path('', views.Records, name =\"fRec\"),",
"django.urls import path from . import views urlpatterns = [",
"from django.urls import path from . impor... |
[
"\"transformer\" \"\"\" # Xfail this until the new spaCy rc",
"in range(2): losses = {} nlp.update(train_examples, sgd=optimizer, losses=losses) doc =",
"\"textcat\"] train_examples = [] for text, annotations in TRAIN_DATA: train_examples.append(Example.from_dict(nlp.make_doc(text),",
"happy.\", {\"cats\": {\... |
[
"command: \") action_creator = ActionCreator() while True: input_data = await",
"= config async def run(self): await asyncio.sleep(1) print(\"Insert command: \")",
"input_data: for task in asyncio.all_tasks(): task.cancel() break action = action_creator.parse(*input_data.split())",
"True: input_data = await i... |
[
"float(linear_loss.data[0]), global_step) writer.add_scalar(\"linear_l1_loss\", float(linear_l1_loss.data[0]), global_step) writer.add_scalar(\"linear_binary_div_loss\", float( linear_binary_div.data[0]), global_step) if",
"plot_alignment(attn.T, path, info=\"{}, {}, step={}\".format( hparams.builder, time_string... |
[
"find_faces(capture) for bbox in faces: rect = pygame.Rect(bbox.left(), bbox.top(), bbox.width(),",
"import pygame.camera # Init display screen = pygame.display.set_mode((0,0), pygame.FULLSCREEN) pygame.display.set_caption(\"Magic",
"pygame.event.get(): if event.type in (pygame.QUIT, pygame.KEYDOWN): return cap... |
[
"in Django. \"\"\" from resolwe.__about__ import ( # noqa: F401",
"Resolwe ======= Open source enterprise dataflow engine in Django. \"\"\"",
"( # noqa: F401 __author__, __copyright__, __email__, __license__, __summary__, __title__,",
"source enterprise dataflow engine in Django. \"\"\" from resolwe.__about__... |
[
"fig.savefig(f'./output_{FILE_PREFIX}/{FILE_PREFIX}_activation_matrix.png', bbox_inches='tight', transparent=True) # %% [markdown] # ## Visualizing distribution",
"%% for column in df.iloc[:, 3:-1].columns: hmap = som.get_weights()[:, :,",
"'grupo' class_assignments = som.label_map(np.array(df_train), np.array(... |
[
"the supplied competition code. \"\"\" # return Competition return Competition",
"results. Returns ------- Competition A Competition object with the most",
"competition): \"\"\" Retrieve data and enrich the supplied competition with",
"a UpdateEngine object.\"\"\" def get_competition(self, code): \"\"\" Retri... |
[
"deckgl_doc_url = DECKGL_URL_BASE + deckgl_docs_layer_name # Create new .html examples",
"f in EXAMPLE_GLOB] if not candidate_files: raise Exception(\"No files found",
"for rtfd.io, set this variable from the Admin panel raise",
"), shell=True, ) python_code = open(pydeck_example_file_name, \"r\").read() doc_... |
[
"isRot(value): try: a = int(value.split('_')[0].split('R')[1]) b = int(value.split('_')[1][0]) c =",
"-1, -1, -1 # return true if it has a",
"of 'Ri' # return true if it is a float",
"COM (center of mass) position and velocity\\n') out_file.write(' * feet",
"xg out_file.write('\\n // jacobian com absolute p... |
[
"(for example 5d or 12h or 30m).\") parser.add_argument(\"-o\", \"--output\", help=\"Output",
"coding: utf-8 -*- from pymisp import PyMISP from keys import",
"5d or 12h or 30m).\") parser.add_argument(\"-o\", \"--output\", help=\"Output file\") args",
"# Usage for pipe masters: ./last.py -l 5h | jq",
"| jq ... |
[
"from .widget.scene.urls import urlpatterns as scene_urls from .widget.benefit.urls import urlpatterns",
"import urlpatterns as special_page_urls from .store.bank_account.urls import urlpatterns as bank_account_urls",
"---------------------------------------------- urlpatterns = [ url(r'^$', core_views.index, n... |
[
"sys import torch import yaml from functools import partial sys.path.append('../../../../')",
"torch import yaml from functools import partial sys.path.append('../../../../') from trainers",
"sys.path.append('../../../../') from trainers import trainer, frn_train from datasets import dataloaders",
"import os ... |