ngram listlengths 0 67.8k |
|---|
[
"= LayersScraper.get_value(building, 'city') province = LayersScraper.get_value(building, 'province') country = LayersScraper.get_value(building, 'country') postal =",
"for UofT's buildings. UofT Map is located at http://map.utoronto.ca/. \"\"\" host = 'http://map.utoronto.ca/'",
"\"\"\" host = 'http://map.utor... |
[
"\\ InventoryArmor, InventoryTool, InventoryWeapon, InventoryWondrousItem, SkillProficiency from .character_class import CharacterClass, Archetype, FeaturesAtLevel, \\",
"Characters \"\"\" from .ancestry import Ancestry, SubAncestry from .background import Background from .character",
"from .ancestry import Anc... |
[
"print(\"class_info=[\",end='') for i in class_list: if len(i)>=1: print(i,('' if(i==class_list[5]) else ','),end='') num+=1 print(\"]\")",
"from bs4 import BeautifulSoup def sigleOrDoubel(str0): num=2; if str0.find('单')!=-1: num=1 elif str0.find('每')!=-1: num=0",
"html -> text #reglex import re #import Beautif... |
[
"address. Need to provide this when doing an Entrez search and fetch\") parser.add_option(\"-d\",",
"#!/usr/bin/python # Retrieve FASTA sequence from NCBI based on an Entrez query. #",
"return - 4 if not options.info_file: print \"Please specify the download info file",
"parser = OptionParser(usage=usage) par... |
[
".version import __version__, VERSION, metadataD from .ancillary import ProcessAncillary from .searchjson import SearchJsonTandemX,",
"Package belonging to Karttur´s GeoImagine Framework. Author ------ <NAME> (<EMAIL>) \"\"\" from .version",
"<NAME> (<EMAIL>) \"\"\" from .version import __version__, VERSION, me... |
[
"-= h; x -= 2.5; } }''' compute = cpp.generate('compute', 'void(std::string, double, double,",
"= z * z + c; ++i; } return max_iter - i; }",
"<< \" \"; x += h; } f << \"\\n\"; y -= h;",
"sys import copperhead as cpp extra_compile_args = \"'/std:c++14'\" if sys.version.split('[')[1].startswith('MSC') else \"'-... |
[
"\"\"\" Subtracts a background that is based on multiple images stored in an",
"BackgroundSubtractor: \"\"\" Subtracts background from an image \"\"\" @abstractmethod def subtract_background(self, image: np.ndarray)",
"super().__init__() self.background_dset = background_dset # Calculate background image self.c... |
[
"whether hold should be turned on or off (default: True) Returns: None '''",
"be saved. If it is False, then the file is only saved upon",
"= cursession() if not document: document = curdoc() if session: return session.store_document(curdoc()) else:",
"Returns: plot : the current default plot (or None) ''' re... |
[
"AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,",
"T \\) has positive support ie. \\( T \\in [0, \\infty) \\). *",
"= datasets.load_dataset('SUPPORT') ``` #### `auton_survival.preprocessing` This module provides a flexible API to perform",
"datasets features, outcomes = data... |
[
"open(\"outFiles/outcontent.txt\", mode=\"a\", encoding=\"utf-8\") filecontent.write(\"\\n\\n\\n=========={}==========\\n\".format(filename)) filecontent.write(\"\\n\".join(str(el) for el in outcontent)) except IOError as identifier:",
"filecontent = open(\"outFiles/outcontent.txt\", mode=\"a\", encoding=\"utf-8\... |
[
"models.ForeignKey(User, on_delete=models.DO_NOTHING, related_name='cards') language = models.ForeignKey(Language, on_delete=models.DO_NOTHING, related_name='cards') times_shown = models.IntegerField(default=0) answered_correctly =",
"if not created: grant_achievements(instance) else: grant_achievements(instance.... |
[
"\"\"\"Replace the Return statement with a Store statement \"\"\" return _make.Store(self.buffer_var, _make.Cast(self.dtype, node.value),",
"def addition(x, y): hcl.return_(x+y) A = hcl.compute((10, 10), addition) # example 2 -",
"prepare the iteration variables args = [] # list of arguments' names nargs",
"i... |
[
"if stunde < 0: raise StundeZuKlein(stunde) if stunde > 60: raise StundeZuGross(stunde) self.__stunde",
"None self.stunde = stunde pass def __repr__(self): return f\"<Stunde {self.__str__()}>\" def __str__(self): return",
"VergleichsStammZahl from Kronos_heureka_code.Zeit.Uhrzeit.Stunde.StundeException import *... |
[
"-*- from django.contrib.auth.backends import ModelBackend from django.contrib.auth.models import User class DKSSOBlindTrustAuthenticator(ModelBackend): def authenticate(self,",
"utf-8 -*- from django.contrib.auth.backends import ModelBackend from django.contrib.auth.models import User class DKSSOBlindTrustAuthen... |
[
"absolute deviation from mean from feature distribution return np.mean(np.absolute(self.dataset[self.column] - np.mean(self.dataset[self.column]))) def absolute_deviation_from_median(self):",
"factor from feature distribution return scipy.stats.skew(self.dataset[self.column]) def entropy(self): # call for entropy... |
[
"= docs.cpu().data.numpy() ques = ques.cpu().data.numpy() if ex_counter == 0: documents = docs questions",
"params['feature_dict'] except BaseException: logger.warn('[ WARN: Saving failed... continuing anyway. ]') # ------------------------------------------------------------------------------ #",
"args.domain,... |
[
"import sys from pysnptools.snpreader.bed import Bed import subprocess cleanDataPath='/net/mraid08/export/jafar/Microbiome/Analyses/PNPChip/cleanData/' rawDataPath='/net/mraid08/export/jafar/Microbiome/Analyses/PNPChip/rawData' pheno_fn_bac =os.path.join(cleanDataPath,'noMissingKakiPhenotypesWithCovariates_nodfukim... |
[
"regex_pattern[3].strip()) new_evidence_text = re.sub(r\"\\s{2,}\", \" \", new_evidence_text) new_evidence_text = re.sub(r'(\\\\)(\\w)', r'\\g<2>', new_evidence_text) new_evidence_text",
"elif result['errors']: if not reports: logger.info('\\n'.join([x.to_string() for x in result['errors']]) + \"\\n\") else:",
... |
[
"\"report\" INSPECT_CMD = \"inspect\" REMOVE_CMD = \"remove\" RETRIEVE_CMD = \"retrieve\" STATUS_CMD = \"status\"",
"ENV_VARS = { \"namespace\": \"PIPESTAT_NAMESPACE\", \"config\": \"PIPESTAT_CONFIG\", \"results_file\": \"PIPESTAT_RESULTS_FILE\", \"schema\": \"PIPESTAT_RESULTS_SCHEMA\", \"status_schema\": \"PIPES... |
[
"[ afhsb, cdc, covid_hosp_facility_lookup, covid_hosp_facility, covid_hosp_state_timeseries, covidcast_nowcast, covidcast_meta, covidcast, delphi, dengue_nowcast, dengue_sensors, ecdc_ili,",
"nidss_dengue, nidss_flu, norostat, nowcast, paho_dengue, quidel, sensors, twitter, wiki, signal_dashboard_status, signal_d... |
[
"id): pass class LoggingLedController(LedController): def reset(self): logging.info('Reset') def set(self, id): logging.info('set {}'.format(id)) #",
"connected LEDs class I2CLedController(LoggingLedController): def __init__(self): self.bus = smbus2.SMBus(1) self.bus.write_byte_data(0x20, 0x00, 0x00) self.bus.wri... |
[
"td_sigi = read('Sig1000_IMU.ad2cp', userdata=False) td_sigi_ud = read('Sig1000_IMU.ad2cp') td_awac = read('AWAC_test01.wpr', userdata=False) td_awac_ud =",
"!CLEANUP! # BUG that's loading different data??! td_sigi.pop('sys.temp_mag') dat_sigi_tmp = dat_sigi.copy() dat_sigi_tmp.pop('sys.temp_mag') td_sigi_ud.pop(... |
[
"such device %s:%s', name, device_id) abort(404) log.info('Successfully removed soft limit for device %s:%s",
"computation_node = abort_when_node_not_found(name) if int(soft_limit) < 0: log.error(str.format('Number is not positive: {}', soft_limit))",
"\\ COMPUTATION_NODE_FETCHED_RESPONSE, DEVICE_IDENTIFIER_PAR... |
[] |
[
"> 6: print(\"SHOULD NOT CREATE SHUFFLE\") shuffle=\"noshuffle\" list_images = os.listdir(image_folder) driving_video = imageio.mimread(template_video)",
"make_animation from skimage import img_as_ubyte warnings.filterwarnings(\"ignore\") if len(sys.argv) < 6: print(\"Usage: deepfake_multiple.py <source",
"(256... |
[
"language, } ) # Reset id to make sure id does not conflict",
":return: data necessary for API :rtype: dict \"\"\" return { \"id\": event.id, \"start_date\":",
"temporary translations of this recurrence recurrence_translations = {} if event.region.fallback_translations_enabled: languages = event.region.active_l... |
[
"file_name = r'/Users/andrewlowe/yipitdata/Q4_2013_Groupon_North_America_Data_XLSX.xlsx' df = pd.read_excel(file_name) # Q4_13_NA dataframe Q4_13_NA = df #",
"are 138534 items in the dataframe. Q4_13_NA.shape Q4_13_NA.describe() Q4_13_NA.describe(exclude='number') Q4_13_NA[] segment_local = Q4_13_NA[(Q4_13_NA['Se... |
[
"\"reverse####.jpg\", \"randwalk####.pdf\", and \"randwalk####.txt\", where \"####\" ranges through the powers of 2 from",
"the cumulative differences between the subpopulation and the full population, controlling for the",
"FileExistsError: pass dir += '/' # Consider both the original ordering of covariates",
... |
[
"Test RemoteAgent Unit \"\"\" import pytest import requests import secrets from starfish.agent.remote_agent import",
"assert(agent.http_client) new_client = object() agent.http_client = new_client assert(agent.http_client) assert(isinstance(agent.http_client, object)) def test_remote_agent_get_adapter(): ddo",
... |
[
"signatures_nw=signatures_nw, subclip=(5*60,-10*60)) # cut 5-10 minutes to avoid credits. # Get the signatures",
"means that the algorithm will iteratively diversify the frames # used until the",
"load the image to reconstruct. This could be any image but out of",
"the # same dimensions as the frames that wil... |
[
"spot check 2% of a file of more than 200 variants. :param mafFile:",
"in a if k==i]) # if checkIt==1: UpdateProgress(count, len(a), \"INFO: Verifying maf file\")",
"the reference sequence + 1 preceding base for the DEL refAnchorPos = str(int(pos)",
"\"NA\"][0] total_reads = str(int(ref_reads) + int(alt_reads... |
[
"list = 18pfd_wk{i:02d}.txt folder = repository\\wk{i:02d} count_commits = True run_all = True pound_count",
"folder = repository\\wk{i:02d} count_commits = True run_all = True pound_count = True after",
"after = 2018-08-27 12:52 \"\"\" for i in range(5, 10+1): if 8 !=",
"True run_all = True pound_count = Tru... |
[
"def test_finalize(): with raises(TypeError): finalize(1) a = variable(range(10), default=2) assert finalize(a)[finalize(a).value] == finalize(a).value",
"import Tunable from tuneit.finalize import finalize from pytest import raises def test_finalize(): with",
"finalize(a).value.fixed d = b.copy() assert d.comp... |
[
"s3_hello(person_name): print('Hello There Person:', person_name) def s3_push_delete_local(local_file, bucket, bucket_filepath): print('def s3_push_delete_local(local_file, bucket, bucket_filepath):')",
"def s3_hello(person_name): print('Hello There Person:', person_name) def s3_push_delete_local(local_file, buck... |
[
"elif func == 'sin': outputs['y'] = np.sin(inputs['x']) else: outputs['y'] = func(inputs['x']) class TestOptionsDictionaryFeature(unittest.TestCase):",
"OptionsDictionary, ExplicitComponent import unittest from six import PY3, assertRegex import numpy as np",
"3.] prob.run_model() assert_rel_error(self, prob['y... |
[
"metrics.set_meter_provider(MeterProvider(stateful=False)) # Track telemetry from the requests library RequestsInstrumentor().instrument() meter = RequestsInstrumentor().meter exporter",
"All rights reserved. # Licensed under the MIT License. # pylint: disable=import-error #",
"RequestsInstrumentor from opentel... |
[
"= get_current_commit() commit_applied = get_git_logs(last_commit_id, current_commit_id) if commit_applied: commit_applied = \"••• \" +",
"@task def deploy(): try: target_host = env.hosts[0] except IndexError: target_host = 'dev' with",
"error\".format(env.hosts[0])) raise SystemExit() else: return result def d... |
[
"'app', [App, None], None, ), # 3 (4, TType.STRUCT, 'user', [User, None], None,",
"- action - request - context \"\"\" def __init__(self, action=None, request=None, context=None,): self.action",
"1 (2, TType.STRING, 'type', 'UTF8', None, ), # 2 (3, TType.MAP, 'config', (TType.STRING,",
"if self.url is not Non... |
[
"x_t + b_{iz} + W_{hz} h_{(t-1)} + b_{hz}) \\\\ n_t = \\tanh(W_{in} x_t",
"i_r + h_r inputgate_tmp = i_i + h_i sigmoid = nn.Sigmoid() resetgate =",
"x in torch.unbind(input_, dim=dim): # x dim is B, I hidden = self.cell(x,",
"= sigmoid(resetgate_tmp) inputgate = sigmoid(inputgate_tmp) hr = self.h2h(hidden * r... |
[
"event evert hour, but with cron schedule = Schedule( actor=instance, verb=EVERY_HOUR, minute=instance.created.minute, hour=\"*/1\"",
"datetime from django.db.models.signals import post_save from django.dispatch import receiver from django_celery_beat.models import DAYS",
"from django.db.models.signals import p... |
[
"Noriter.UI.Layout import * from Noriter.UI import NoriterWindow as nWin class SideWindow (nWin.NoriterWindow, QtGui.QWidget):",
"NoriterWindow as nWin class SideWindow (nWin.NoriterWindow, QtGui.QWidget): def __init__(self): super(SideWindow, self).__init__() self.setContextMenuPolicy(QtCore.Qt.CustomContextMenu... |
[
"and x.state not in ('done', 'cancel')) if move: product_uom_factor = prod.product_uom_id._compute_quantity(prod.product_qty - prod.qty_produced,",
"product_uom_factor = prod.product_uom_id._compute_quantity(prod.product_qty - prod.qty_produced, prod.bom_id.product_uom_id) qty1 = sub_product_line.product_qty qty1... |
[] |
[
"return np.array(out) def seqs_to_seq_of_prefix(seqs): out = [] for seq in seqs: out.append(seq[0]) return",
"= np.split(np_sample, starting_chromosome_idxs)[1:] chromosomes_dists = np.split(np_dists, starting_chromosome_idxs)[1:] out = [] for i in",
"= [] noised_seqs = [] for i in range(n_seqs): seq = np.array... |
[
"self.ser.write('ATZ\\r'.encode()) time.sleep(0.5) self.ser.write('AT+CMGF=1\\r'.encode()) time.sleep(0.5) self.ser.write(('''AT+CMGS=\"''' + recipient + '''\"\\r''').encode()) time.sleep(0.5) self.ser.write((message + \"\\r\").encode())",
"= message def connectPhone(self): self.ser = serial.Serial('COM7', 9600, ... |
[
"world\" @app.route('/youtube/<link>') def youtube(link): print(\"ENTERED\") url = 'https://www.youtube.com/watch?v='+link print(url) result,status = (baritone.pipeline(url,'youtube')) convert",
"result,status = (baritone.pipeline(url,'youtube')) convert = { 'url': url, 'text': result, 'converted':status } return... |
[
"for details. import json import unittest import os.path import requests_mock from pypd import",
"PagerDuty. # See LICENSE for details. import json import unittest import os.path import",
"self.assertEqual(data[\"routing_keys\"][0], \"<KEY>\") @requests_mock.Mocker() def test_fetch_all_rulesets(self, m): # setu... |
[] |
[
"class BaseMixin: def __init__(self, name: str): self.name = name def __repr__(self): return '<{module}.{cls}",
"base classes for AWS\"\"\" class BaseMixin: def __init__(self, name: str): self.name = name",
"BaseMixin: def __init__(self, name: str): self.name = name def __repr__(self): return '<{module}.{cls} {... |
[
"enhance the parser with 'on the fly' data quality audit or export. \"\"\"",
"] #start event callbacks self._end_callbacks = [ ] #end event callbacks self._children =",
"\"\"\" return dict(self._element_ancestors) def registerStartEventCallback(self, func): \"\"\" Register a callback for start event.",
"a uni... |
[
"SPDX-License-Identifier: Apache-2.0 from subprocess import call, STDOUT from shutil import copyfile import sys",
"pass def replace_template_var(template_file, var, value): with fileinput.FileInput(template_file, inplace=True, backup='.bak') as file: for line",
"rights reserved. # SPDX-License-Identifier: Apach... |
[
"plasmasystem self.eaffinity = 4.05*const.elementary_charge def __call__(self, zcharge, radius): return self.ptunnel(zcharge, radius) def rt_affinity(self,",
"np import scipy.constants as const from scipy.integrate import solve_ivp PI = const.pi KE",
"0.0, 0.0, tunnel_gain, energy_gain, energy_loss]) nano_qdens... |
[
"# # Licensed under the Apache License, Version 2.0 (the \"License\"); # you",
"writing, software # distributed under the License is distributed on an \"AS IS\"",
"-*- # # Copyright 2009 <NAME> # # Licensed under the Apache License,",
"KIND, either express or implied. # See the License for the specific langua... |
[] |
[] |
[
"MB s = list(s) i = j = k = 0 # i:",
"while still preserving whitespace and initial word order. 1 <= s.length <= 5",
"words in s are separated by a single space. \"\"\" import unittest class",
"i += 1 k -= 1 i = k = j + 1",
"s, reverse the order of characters in each word within a sentence while",
"i += 1... |
[
"= sp_typ + f'elodie_{dataset}_{imanum}.fits' path = '' if path is None else path",
"= self.BASE + f'c=i&a=mime:application/fits&o=sophie:[{s1d},{seq}]' filename = f'sophie_[{s1d},{seq}].fits' path = '' if path is",
"self.BASE + f'n=sophiecc&ob=bjd&a=csv&o={self.obj}&d=' int_cols = ['seq','sseq','slen','nexp','... |
[
"DeleteSurvey(self, request, context): \"\"\"Delete a survey and its associated agent (if existent) \"\"\"",
"not implemented!') raise NotImplementedError('Method not implemented!') def GetSurveyAnswers(self, request, context): \"\"\"Retrieve answers to",
"request_deserializer=ondewo_dot_survey_dot_survey__pb2.... |
[
"op): setattr(OpcodeDefaults, op, True) class OpcodeStatus(object): _immutable_fields_ = [\"frozen\", \"use_flag_cache\"] + dual_implementation_opcodes def",
"== \"AggStep\": self.AggFinal = value elif whichop == \"AggFinal\": self.AggStep = value def",
"s == \"all\": for op in unrolling_dual_implementation_opc... |
[
"an ID, skip if there is not one try: od['Name'] = record['Cities']['GEO.display-label'] except",
"try: od['Name'] = record['Cities']['GEO.display-label'] except KeyError: pass cities_list.append(od) with open(\"output.json\", \"w\") as f:",
"key_File = open(\"../resources/key\") BASE_ID = keyFile.readline().rs... |
[
"the sums of hits against all their articles from article_hits database view\"\"\" \"\"\"Example",
"from executed command and formats for report viewing\"\"\" print \"\\r\\nOn which days did",
"popular authors of all time.\"\"\" popular_authors() \"\"\"Generate a report of the day(s) with",
"SUM( article_hits... |
[
"program import control SOCK_PORT = 4242 HTTP_PORT = 80 robotContoler = control.control(HTTP_PORT, SOCK_PORT)",
"#Kent State Univeristy - RMC team #<NAME> 2018 # #Starts program import control",
"Univeristy - RMC team #<NAME> 2018 # #Starts program import control SOCK_PORT =",
"RMC team #<NAME> 2018 # #Starts... |
[
"X, freq_weights = weight, family = bin_family) my_glm_fit = my_glm.fit() theta = my_glm_fit.params",
"as sm from statsmodels.genmod.generalized_linear_model import GLM from statsmodels.genmod.families import Binomial from statsmodels.genmod.families.links import",
"datetime.datetime.now() cur.execute(\"INSERT ... |
[
"* sqrt39) / 54880 C = (297 - 47 * sqrt39) / 32928",
"points, 7, citation) def stroud_secrest_11(): sqrt5 = sqrt(5) sqrt39 = sqrt(39) sqrt195 =",
"sqrt195) for p_m in [+1, -1] ] eta = sqrt(36 + 4 *",
"* sqrt130) / 11) xi = sqrt(288 + 24 * sqrt130) eta =",
"[ (A, numpy.array([[0, 0, 0]])), (B, pm_roll(3, [xi... |
[
"or SafeOP.eq(a,b) @staticmethod def le(a,b): return SafeOP.lt(a,b) or SafeOP.eq(a,b) @staticmethod def ne(a,b): return",
"\"abiFilters\": OPTIONAL [ { name STRING REQUIRED rvalue HEXSTR OR INT REQUIRED type",
"def __init__(self,fltr): self._name = fltr[\"name\"] type_factory = getattr(Types,fltr[\"type\"]) sel... |
[
"missing months df_new = dd_for_site(stn, next_mo).query('coverage > @MIN_COVERAGE').copy() if len(df_new): # put this",
"compression='bz2') If the file is located on a web server, you can read",
"\"\"\" from os.path import dirname, join, realpath import sys from datetime import datetime,",
"to the existing o... |
[
"for move in moves: child = deepcopy(board) self.move_black(child, *move) score = -self.negamax(child, depth",
"self.BEST_MOVE = moves[0] for move in moves: child = deepcopy(board) self.move_black(child, *move) v",
"if depth == 0 or self.game_over(board): return color * self.evaluate(board) v = float('-inf')",
... |
[
"ugly[-1]: i5 += 1 ugly.append(min(ugly[i2] * 2, ugly[i3] * 3, ugly[i5] * 5))",
"{integer} def nthUglyNumber(self, n): ugly_number = 0 heap = [] heapq.heappush(heap, 1) for",
"ugly = [1] i2 = i3 = i5 = 0 while len(ugly) <",
"0 == 30**30 % num # V2 # Time: O(n) # Space: O(1)",
"[1] i2 = i3 = i5 = 0 while len... |
[
"dbcurs.fetchone() points.append((node[2], node[1])) center = None if len(points) == 2: line = LineString(points)",
"= 5000 while offset < count : sql = \"SELECT * FROM ways",
"lon, woeid, way_id)) dbconn.commit() time.sleep(2) offset += limit return if __name__ == '__main__'",
"= dbconn.cursor() dbcurs.execu... |
[
"open(fileName,'r') a = json.loads(file.read()) file.close() return a # NGな単語かNGな語句が入っていたらTrue そうでないならFalse def is_ng_trend(trend): if",
"sqlalchemy import and_ import random # /home/*/hama_dbとかが返ってくる #exec_path = os.path.abspath(os.path.dirname(__file__)).rsplit(\"/\",1)[0] exec_path = \".\"",
"#l = tw.home_ti... |
[
"if len(question[\"options\"]) > 10: raise ValueError(\"options array is greater than 10\") for option",
"raise ValueError(\"options array is greater than 10\") for option in question[\"options\"]: if len(option)",
"Basic logging setup \"\"\" logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - ... |
[
"OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)***** ############################################################################# # TODO: # #",
"dW[:,y[i]] += -1*X[i] # Right now the loss is a sum over all",
"correct_scores = correct_scores_vec[:,np.newaxis] # broadcasting-ready vec # compute margins M = S -",
... |
[
"xml.etree.ElementTree import docutils.core def load_pairs(): # Load pairs of \"example ID, rules code\"",
"import docutils.core def load_pairs(): # Load pairs of \"example ID, rules code\" for",
"pairs of \"example ID, rules code\" for the test suite. rst_code = _load_rst()",
"(slug, i), block.text)) return ... |
[
"non-negative number, n. #Credits: #Special thanks to @mithmatt for adding this problem and",
"description and prototypes) # Question Title and Description on leetcode.com # Function Declaration",
"# :type n: int # :rtype: int # \"\"\" # Time Is Money",
"\"\"\" # :type n: int # :rtype: int # \"\"\" # Time Is"... |
[
"django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations =",
"), migrations.CreateModel( name='Post', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_n... |
[
"return self.TABLE.__class__.__name__ @property def id(self): return f'{self.TABLE_NAME}ID' @property def cols(self): return [{k: v}",
"table \"\"\" NAMESPACE = os.getenv('ECMS_HOST') FORIEGN_KEYS = {} def __init__(self): self.TABLE = self.__class__",
"\"\"\" NAMESPACE = os.getenv('ECMS_HOST') FORIEGN_KEYS = {}... |
[
"-> int: res = dict() s = 0 ans = 0 for i,",
"res[s] = i if s - 1 in res: ans = max(ans, i-res[s-1])",
"int: res = dict() s = 0 ans = 0 for i, c",
"if s not in res: res[s] = i if s - 1 in",
"hours: List[int]) -> int: res = dict() s = 0 ans = 0",
"= 0 for i, c in enumerate(hours): s += 1 if c >",
"0 for ... |
[
"return self._name @property def power(self): \"\"\"Power reading of CT clamp in W\"\"\" return",
"= value @property def name(self): \"\"\"Name of CT clamp\"\"\" return self._name @property def",
"= name self._value = value @property def name(self): \"\"\"Name of CT clamp\"\"\" return",
"-> None: self._name =... |
[
"File Dir” # 在当前文件夹下将hello_world.txt文件复制为hello_world_bak.txt src = r'hello_world.txt' dst = r'hello_world_bak.txt' import shutil shutil.copyfile(src,",
"# 先确认在VSCode的Settings中，勾选“Terminal：Excute In File Dir” # 在当前文件夹下将hello_world.txt文件复制为hello_world_bak.txt src = r'hello_world.txt' dst = r'hello_world_bak.txt'",
... |
[
"\"zone\": \"global\", }, {\"status\": RequestStatus.FAILED, \"error\": \"stream ended\"}, ) except Exception as e:",
"rois = [] lines = [] for region in video_info.regions: points = []",
"parser.add_argument( \"--debug\", default=False, type=lambda x: (str(x).lower() == \"true\") ) args = parser.parse_args() a... |
[
"perturbations. Note this vary rarely makes any significant # differences method='model-scoring') # corss",
"test_z): self._skater_model, self._skater_interpreter = _create_skater_stuff(md, test_x, test_z) def save_plot_feature_importance(self, file_path): fig, ax =",
"skater.core.explanations import Interpreta... |
[
"\"\"\" search = tmdb.Search() response = search.movie(query=title) return search.results def search_tv(title): \"\"\" Connects",
"= tmdb.Search() response = search.movie(query=title) return search.results def search_tv(title): \"\"\" Connects to API",
"\"\"\" search = tmdb.Search() response = search.tv(query=t... |
[
"packages to be created:\\n {}\".format(\"\\n \".join(packages))) # Get long description from README with",
"open(requirements_file) as buffer: requirements = buffer.read().splitlines() requirements = list(set(requirements)) requirements_string = \"\\n \".join(requirements)",
"import find_packages, setup # Read... |
[
"\"city\": address_1.city, \"companyName\": address_1.company_name, \"id\": address_1.id, \"street\": address_1.street, \"zip\": address_1.zip, }, { \"city\":",
"data[\"companyName\"] assert address.street == data[\"street\"] assert address.zip == data[\"zip\"] def test_edit_someone_else_delivery_address(client_b... |
[
"pygame.image.load(ip4).convert_alpha() def draw_barrier(self): food_obj1 = pygame.Rect(int(self.lis[0].x*cell_size),int(self.lis[0].y*cell_size),cell_size,cell_size) food_obj2 = pygame.Rect(int(self.lis[1].x*cell_size),int(self.lis[1].y*cell_size),cell_size,cell_size) food_obj3 = pygame.Rect(int(self.lis[2].x*cell... |
[
"if len(passtotake) < 8: passtotake = nametotake[:nametotake.index('.')] +passtotake pyautogui.write(nametotake) pyautogui.press(\"TAB\") pyautogui.write(passtotake) pyautogui.press(\"ENTER\") sleep(1)",
"[i[:-1] for i in passwords if passwords.index(i) % 2 == 0] for i",
"pyautogui from time import sleep from r... |
[
"None class Client(object): def __init__(self, svc, config, registry): self.svc = svc self.config =",
"GetRegistryName(self): \"\"\" Get registry table name \"\"\" return self.registry_name or 'roster' def GetHashKey(self):",
"registry_name='', *args, **kwargs): self.registry_name = registry_name self.region = ... |
[
"NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version",
"admin_service.AdminCommunicatingStub(channel) client = admin_msg.Client() client.client_name = self.client_name messages = stub.Retrieve(client) for i in",
"root_cert: root certificate ssl_cert: SSL certificate private_k... |
[
"code_name = 'chinook_models_nojoined.py' generate_code_file(code_name, engine, nojoined=True) import_code(code_name) def generate_code(engine, **kwargs): \"\"\" CodeGenerator.__init__(self, metadata,",
"nobackrefs=False, flask=False, ignore_cols=None, noclasses=False, nocomments=False) \"\"\" metadata = MetaData... |
[
"args.model_name) # if we find an optimized model, then we will use that",
"volume_mounts.extend([ \"--volume\", \"{}:{}\".format(output_dir, output_dir)]) docker_run_cmd = [\"docker\", \"run\"] # only use -it when",
"KIND, either express or implied. # See the License for the specific language",
"action=\"sto... |
[
"\"\"\" pass def test_road_segmenter_list(self): \"\"\" The road_segmenter function should return a list :return:",
"\"\"\" for road in self.road_net: road = convert(road) self.assertIsInstance(road[\"the_geom\"], dict, \"geometry_to_list should return",
":return: Nothing \"\"\" margin = 3 for road in self.road... |
[
"group=\"authority\") x509_cert: str = betterproto.string_field(2, group=\"authority\") presentation_type_uri: str = betterproto.string_field(10) valid_from_utc: int =",
"def unregister_issuer( self, *, did_uri: str = \"\", x509_cert: str = \"\", credential_type_uri:",
"\"CheckIssuerStatusResponse\": request = ... |
[] |
[
"from metrics.wasserstein import wasserstein_2 def compute_metrics(ds, split, inv_temp, num_parties, num_classes, alpha, lengthscale, party_datasets,",
"dkls_after = average_dkl(party_datasets_with_rewards, reference_dataset) print(dkls_after) print(\"Correlation coefficient with alpha: \\n{}\".format(np.corrcoef... |
[
"high influence on the reconstruction error. Transition that have a high gradient on",
"should be changed further and therefore given a low reward. \"\"\" batch_dim =",
") action_recon = mode_latent_model.reconstruct_action( features_seq=features_seq, mode_sample=posterior['samples'] ) ll = action_recon['dists'... |
[] |
[
"= [ ('addresses', '0001_initial'), ('orders', '0002_auto_20200204_1253'), ] operations = [ migrations.AddField( model_name='order', name='billing_address',",
"12:55 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [",
"] operations ... |
[
"Image.open(s) self.assertEqual(im.size, (500, 500)) self._assert_noerr(im) def test_g4_eq_png(self): \"\"\" Checking that we're actually getting",
"if tag not in ignored: if tag.endswith('Resolution'): val = original[tag] self.assert_almost_equal( val[0][0]/val[0][1], value[0][0]/value[0][1],",
"= Image.open(f... |
[
"'val1', 'key2': 'val2'} test_master_url = \"TEST1\" test_app_name = \"TEST_APP\" mock_spark_session_builder = Mock() #",
"unittest from unittest.mock import Mock from app_processor.pyspark_hb_app_processor import parse_configs, get_or_generate_spark_session class TestAppProcessor(unittest.TestCase): def",
"sel... |
[
"check_validation_ID_Post import check_validation from driver_chrome import * from DataScrapting import * tracking_ID =",
"i,j in zip( [i for i in dst_lst if not dst_lst.index(i)%2], [i for",
"j.text) for i,j in zip( [i for i in dst_lst if not dst_lst.index(i)%2],",
": ghostbusters(f\"\\n {warning.text}\") el... |