ngram listlengths 0 82k |
|---|
[
"\"localname\", \"Tags\", inline_element_type=\"i\") check_cell(rows[0], \"remote\", repository.url) check_cell(rows[0], \"remotename\", \"N/A\", inline_element_type=\"i\")",
"Would like to use 'tables[0].findAll()' here, but BeautifulSoup apparently #",
"logger.error(\"Repository main branch ('refs/heads/maste... |
[
"[] queue.insert(0,root) res = [] if not root: return []",
"print(temp.val) if temp.left: queue.insert(0,temp.left) if temp.right: queue.insert(0,temp.right) layer.append(temp.val) res.append(layer) return",
"= [] for i in range(n): temp = queue.pop() print(temp.val)",
"i in range(n): temp = queue.pop() print... |
[
"utils.write_expr(join(args.out_expr_dir, 'processed', 'expr.tsv'), annotated2) for cls in classes: utils.write_text(join(args.out_expr_dir, 'processed',",
"cls in classes])) utils.create_dir_if_not_exist(args.out_expr_dir) utils.write_expr(join(args.out_expr_dir, 'processed', 'expr.tsv'), annotated2) for cls",
... |
[
"main(): print (\"hello\") return 0 if __name__ == '__main__': main()",
"def main(): print (\"hello\") return 0 if __name__ == '__main__':",
"<reponame>cooool/doublejian def main(): print (\"hello\") return 0 if __name__ =="
] |
[
"def init_redis(app): app['redis'] = aioredis.from_url( app['redis_location'], ) async def close_redis(app):",
"as conn: val = await conn.get(key) return val async def",
"return val async def set_redis_key(redis, key, value, expire=None): async with",
"init_redis(app): app['redis'] = aioredis.from_url( app['r... |
[
"as sio parser = argparse.ArgumentParser() # TRAINING parser.add_argument('--batch_size', type=int, default=512,",
"TRAINING parser.add_argument('--batch_size', type=int, default=512, help=\"batch size for training\") parser.add_argument('--initial_learning_rate', type=float,",
"= train_text.shape[1] parser.add... |
[
"with a door t.pendown() t.penblock(block.BRICK_BLOCK) t.startface() for i in range(4):",
"import * import lsystem t = Turtle() t.pendelay(0) t.turtle(None) t.penblock(block.BRICK_BLOCK)",
"'+': lambda: t.yaw(90), '-': lambda: t.yaw(-90), 'F': lambda: go() }",
"MIT license # from mineturtle import * import ls... |
[
"= client.post( \"/users/signup\", json={ \"email\": \"<EMAIL>\", \"password\": \"<PASSWORD>\" } )",
"201 def test_signup_existing_user_returns_422(self, client: TestClient): response = client.post( \"/users/signup\", json={",
"\"password\": \"<PASSWORD>\" } ) assert response.status_code == 201 response_2 =",
... |
[
"{ full } media(perPage: 1) { nodes { title {",
"$search) { siteUrl name { full } media(perPage: 1) {",
"{ large } description(asHtml: true) } } ''' return query",
"($search: String) { Character(search: $search) { siteUrl name { full",
"image { large } description(asHtml: true) } } ''' return",
"nodes { t... |
[
"T.find_clades(): if clade.name in [None, \"germline\", \"2_\"]: continue parent =",
"load_tree(f): t = Phylo.read(f, 'newick') t.root_with_outgroup(\"germline\") t.get_nonterminals()[0].branch_length = 0.0 #",
"decrement C region boundary (end of sequence) to fit within",
"aln_dict): \"\"\" Get mutations on ... |
[
"\"a very important function that can only exec once\" dofoo()",
"are u thinking?\" print \"a very important function that can",
"u thinking?\" print \"a very important function that can only",
"_once = 0 def dofoo(): global _once; _once += 1",
"\"a before b\" import b print \"a after import b\"",
"thinki... |
[
"type defines required data type/structure of the ``value`` submitted to",
"call. - Calculation of the `id` field field to include",
"Oracle Query Module \"\"\" import json from clamfig import Serializable",
"This method must be overridden by subclasses \"\"\" pass @property",
"Query configuration The value... |
[
"EMAIL_BACKEND = 'django.core.mail.backends.smtp.EmailBackend' EMAIL_HOST = 'smtp.163.com' EMAIL_PORT = 465 EMAIL_HOST_USER",
"'<PASSWORD>' EMAIL_USE_SSL = True EMAIL_USE_LOCALTIME = True DEFAULT_FROM_EMAIL = 'GPUTasker<{}>'.format(EMAIL_HOST_USER)",
"EMAIL_HOST_PASSWORD = '<PASSWORD>' EMAIL_USE_SSL = True EMAI... |
[
"in enumerate(srcData): sys.stdout.write('\\r') sys.stdout.write(\"%s\" % (str(i) + ' of '",
"fetch_data('IWSLT/test.de.small.tok', 'IWSLT/test.en.small.tok') encoder = onmt.Models.Encoder(opt, checkpoint['dicts']['src']) decoder = onmt.Models.Decoder(opt, checkpoint['dicts']['tgt'])",
"== 0: predBatch, _, _ = ... |
[
"== [] msgs = [create_msg() for i in range(10)] entries",
"None msgs = [] entries = await db.add_msgs(msgs) assert entries",
"def create_msg(timestamp): counter = 0 def create_msg(facility=common.Facility.USER, severity=common.Severity.ERROR, hostname=socket.gethostname(), app_name=pytest.__file__,",
"assert ... |
[
"# find all class name contains 7 characters pprint(soup.find_all(\"a\", \"sister\"))",
"key 'sisters' print 20*\"++\" pprint(soup.find_all(href=re.compile(\"my_url\"))) # all links contains key",
"<filename>web_scraping/beautifulsoup/bs4_sample2.py from pprint import pprint import re from bs4 import",
"# fin... |
[
"nome): c = env.db.cursor() idlinha = get_linha_hor(idhor, nome) #TODO: check",
"r[0] # not found. look for a similar name, but",
"# not found. look for a similar name, but with",
"r[0] # found. set idhor c.execute('update linhas set idhor=%s where",
"not found c.insert_one('pontos', nome=nome) id = c.lastr... |
[
"pylibfreenect2 import CpuPacketPipeline pipeline = CpuPacketPipeline() print(\"Packet pipeline:\", type(pipeline).__name__) fn",
"256) faces = faceCascade.detectMultiScale(ir, 1.3, 5) for (x,y,w,h) in faces:",
"cv2.resize(face_depth, (800, 800))) listener.release(frames) key = cv2.waitKey(delay=1) if key ==",
... |
[
"State Machine self.add_path(enable_to_shell) self.add_path(shell_to_enable) self.add_path(enable_to_tie) self.add_path(tie_to_enable) class NxosMdsDualRpStateMachine(NxosMdsSingleRpStateMachine): def create(self):",
"tie_to_enable = Path(tie, enable, 'end', None) # Add State and",
"NxosSingleRpStateMachine fro... |
[
"Cloud setup with SaltStack and Apache Libcloud\"\"\" __version__ = '0.1.0-git'",
"Apache Libcloud\"\"\" __version__ = '0.1.0-git' if __name__ == '__main__': from",
"\"\"\"Compute Cloud setup with SaltStack and Apache Libcloud\"\"\" __version__ =",
"SaltStack and Apache Libcloud\"\"\" __version__ = '0.1.0-git... |
[] |
[
"pass class GenestackServerException(GenestackException): \"\"\" Server-side exception class. Raised when Genestack",
"= ( 'Your Genestack Client version \"{current_version}\" is too old,",
"anything is wrong on client side. \"\"\" pass class GenestackServerException(GenestackException):",
"else message) Gene... |
[
"[6, 6, 1] N = [6, 1, 5, 4] print(Solution().rollDice(N))",
"1: 6, 2: 4, 4: 2, 3: 5, 5: 3",
"== v else 1 if d + v != 7",
"rollDice(self, arr): map_val = { 6: 1, 1: 6, 2:",
"min( # sum(0 if d == v else 1 if",
"count_elem[map_val[showFace]] # def number_of_rotations(dice: List[int]) -> int: # return min(",
... |
[
"conv._option == BotOptions.DO_QUERY: bot.send_message(chat_id=userid,text=TEXTS[\"WAIT_FOR_TRAINS\"]) res = self._RB._RF.check_trip(conv._origin, conv._dest, conv._date) self._RB.send_query_results_to_user(bot,",
"update): logger.debug(\"Processing numeric opion\") userid = update.callback_query.from_user.id use... |
[
"the expected output.\"\"\" core_file = find_core_file(test_name) if core_file is None:",
"Exception(\"No core file for \" + test_name) exeutable_file = os.path.join(ts.TEST_PROGRAMS_FOLDER,",
"case.\"\"\" for subdir, dirs, files in os.walk(ts.CORES_FOLDER): for file in",
"= {} address = re.compile(\"(0x[0-9a... |
[
"class \"\"\" from collections import namedtuple from entity import Entity",
"Properties: exits: List of Exit namedtuples \"\"\" def __init__(self, name,",
"\"\"\" from collections import namedtuple from entity import Entity \"\"\"",
"is a namedtuple which describes a unidirectional connection between rooms."... |
[
"from quadboost.weak_learner.random_convolution import plot_images @timed @parse def main(m=60_000, val=10_000, da=0,",
"torch import logging from quadboost import QuadBoostMHCR from quadboost.label_encoder import",
"RandomConvolution.format_data(X_val).to(device=device) Xts = RandomConvolution.format_data(Xts)... |
[
"print min([1,2,3,4]) print min([2,1],[1,2],[1,1],[1,1,0]) # tuples print \"\\ntuples\" print min((1,2,3,4))",
"print min((2,1),(1,2),(1,1),(1,1,0)) # dictionaries print \"\\ndictionaries\" print min({1:2,3:4,5:6}) print min({1:6,3:4,5:2})",
"min([1,2,3,4]) print min([2,1],[1,2],[1,1],[1,1,0]) # tuples print \"... |
[] |
[
"= response.triples.add() data.sub=triple[0] data.pred=triple[1] data.obj=triple[2] return response def serve(): server",
"import relationExtractService_pb2_grpc import tools class relationExtractService(relationExtractService_pb2_grpc.relationExtractServiceServicer): def ExtractTriple(self,request,context): sent... |
[
"masks. See if any connected components of fg_mask _setminus_ mask",
"node_delete_logits = self.bg_fusion_module(node_minus_bg_features) # [N-1, 1] delete_logits = torch.cat([torch.ones((1, 1),",
"[N, H, W] torch.FloatTensor of values in {0, 1}. Original",
"setup(self): if 'deletenet_model' in self.config: se... |
[
"x in range(10, num_proc * 100, 10)] ret = []",
"2: ret.append('0.' + x) else: ret.append(x[:len(x) - 2] + '.'",
"get_util_range(num_proc): util = [str(x) for x in range(10, num_proc *",
"util: if len(x) == 2: ret.append('0.' + x) else: ret.append(x[:len(x)",
"[str(x) for x in range(10, num_proc * 100, 10)]... |
[
"subreddits[name] = { 'phrases': [], 'flairs': [], 'include': False, 'unflaired':",
"[], 'include': False, 'unflaired': True } update_subreddits(subreddits) def remove(name): del",
"\"\"\" subreddits: { '<subreddit name>': { 'phrases': [ '<phrases>' ],",
"... } \"\"\" subreddits = get_subreddits() def list():... |
[
"<filename>events/migrations/0006_auto_20150811_1213.py<gh_stars>0 # -*- coding: utf-8 -*- from __future__ import unicode_literals",
"[ ('events', '0005_auto_20150809_0203'), ] operations = [ migrations.RemoveField( model_name='team', name='members',",
"models, migrations from django.conf import settings class ... |
[
"assert pop == population_size def test_func_run(): NS = shared['NS'] log_evidence,",
"NS.population_size assert pop == population_size def test_func_run(): NS = shared['NS']",
"log_evidence, log_evidence_error = NS.run(verbose=False) analytic = analytic_log_evidence(ndim, width) print(analytic, log_evidence)",... |
[
"value): self.var_value = value def get_variable_type(self): return self.var_type def get_variable_name(self):",
"var_type_index == 2: self.var_value = 0.0 elif var_type_index == 3:",
"'float' : 2, 'double' : 2, 'string' : 3, 'str'",
"3: self.var_value = \"\" else: print(\"Variable type error\") def set_varia... |
[
"19: action['render'] = True if stable > 20: still =",
"-.25 max_x = .25 elif tablePlane: min_x = -.25 max_x",
"goals (default 10)') @click.option('--n_obj', type=int, default=3, help='# of objects (default",
"3:]-p0[:, 3:]), np.linalg.norm(p1[:, 3:]+p0[:, 3:])) maxDiffPos = max(maxDiffPos, diffPos) maxDiffOr... |
[
"to generate output\") args.add_argument('-o', '--output', type=argparse.FileType('w', encoding=\"utf-8\"), default=sys.stdout, help=\"Write output",
"Exception(\"failed to format output:\\n \", ret.stderr) options.output.write(output) if __name__ ==",
"\"\\n\" ns = {'object_list': object_list} output += str(Te... |
[
"width=opts.width, fonts=fonts ) if scene is None: sys.stderr.write(\"[error] nothing to",
"None scene = ids.get(opts.id) if scene is None: sys.stderr.write(f\"[error] no",
"type=int, help=\"output width\") parser.add_argument(\"-id\", help=\"render single element with specified `id`\")",
"biết cách mà blend ... |
[
"parser.add_argument('--test_file', default='reviews_large_test.csv', type=str) parser.add_argument('--replace_word_dict', default='False', type=str) parser.add_argument('--retrain_model', default='False', type=str) parser.add_argument('--model_file',",
"type=str) parser.add_argument('--dev_file', default='review... |
[
"R.head('bc')) self.assertEqual('c', R.head('c')) self.assertEqual('', R.head('')) def test_throws_if_applied_to_None(self): with self.assertRaises(TypeError): R.head(None)",
"R.head('abc')) self.assertEqual('b', R.head('bc')) self.assertEqual('c', R.head('c')) self.assertEqual('', R.head('')) def test_throws_if_... |
[
"from django.conf.urls.static import static from django.contrib import admin from django.contrib.sitemaps.views",
"they're having a 500 they're more than welcome # to).",
"admin from django.contrib.sitemaps.views import sitemap from django.urls import include, path",
"django.views.generic import TemplateView ... |
[
"<filename>Python3/tests/test_key.py<gh_stars>1-10 import unittest class TeskKey(unittest.TestCase): def test_key(self): a = ['a',",
"TeskKey(unittest.TestCase): def test_key(self): a = ['a', 'b'] b = ['b']",
"class TeskKey(unittest.TestCase): def test_key(self): a = ['a', 'b'] b =",
"def test_key(self): a = ... |
[
"import pymongo from quakestats.datasource.mongo2 import ( DataStoreMongo, ) from quakestats.system",
"quakestats.system import ( conf, ) logger = logging.getLogger(__name__) class SystemContext:",
"self.ds_client = pymongo.MongoClient(uri) parsed_uri = pymongo.uri_parser.parse_uri(uri) database_name = parsed_u... |
[
"= \"254746468686\" lipa_na_mpesa_passkey = \"<KEY>\" consumer_key = \"ryHq5u8TIFcyps7lIYQThAP1Al0zXAcU\" consumer_secrete =",
"phone_number = \"254746468686\" lipa_na_mpesa_passkey = \"<KEY>\" consumer_key = \"ryHq5u8TIFcyps7lIYQThAP1Al0zXAcU\" consumer_secrete",
"= \"174379\" phone_number = \"254746468686\" l... |
[
"na \"+preetyGrade(T2[i])+\", \" if len(zm)>1: zm = zm[:-2] return {\"private\":\"Przedmiot:",
"\"+T2[1],\"public\":\"\"} if lenT1 == lenT2 and lenT1 == 9: zm=\"\"",
"> lenT1 and lenT1==0: return {\"private\":\"Dopisano nowy przedmiot: \"+T2[1],\"public\":\"\"} if",
"wierszem z bazy danych (wiersz tabeli z oc... |
[
"None :raises: ValueError \"\"\" return helpers.find_node(node=self, condition=condition, direction=direction, raise_on_empty=raise_on_empty) def",
"populates parent/child node sets. For example, if this NodeSet contains",
"matches the given condition. :type condition: (Node) -> bool :type",
"StopIteration wi... |
[] |
[
"pytest def test_connect(): email, apikey = 'email', 'apikey' headers =",
"apikey=apikey) assert headers == {'Host': 'data.usajobs.gov', 'User-Agent': 'email', 'Authorization-Key': 'apikey'}",
"import usajobs import pytest def test_connect(): email, apikey = 'email',",
"'email', 'apikey' headers = usajobs.con... |
[
"res in tqdm.tqdm(pool.imap_unordered(process_fun, fnames, chunksize=chunk_size), total=len(fnames)): stmts += res logger.debug('Closing",
"Mapping[str, str] = None, extract_filter: List[str] = None, grounding_mode: str",
"A dict which maps each fname in the fnames list",
"parallel. Parameters ---------- fnam... |
[
"be executed immediately after closing the dialog box. This callback",
"= Confirmation(self._body, title=\"Confirmation\", header=\"Confirmation\", message=\"Do you really want to continue",
"self.__geometry: self.geometry(self.__geometry) # if self.__header: label_header = tk.Label(self, text=self.__header, an... |
[
"tf import numpy as np def inter_area_batch(im_inp,h,w,hs,ws): # Do INTER_AREA",
"np def inter_area_batch(im_inp,h,w,hs,ws): # Do INTER_AREA resize here # h,",
"return tf.clip_by_value(whole,0.,1.) def resize_area_batch(imgs, hs, ws): _, h, w, _",
"import numpy as np def inter_area_batch(im_inp,h,w,hs,ws): # ... |
[
"import ( Regex, Doc, ) __all__ = [ \"Regex\", \"Doc\",",
"<filename>output/models/ms_data/regex/re_c43_xsd/__init__.py from output.models.ms_data.regex.re_c43_xsd.re_c43 import ( Regex, Doc, ) __all__ =",
"( Regex, Doc, ) __all__ = [ \"Regex\", \"Doc\", ]",
"from output.models.ms_data.regex.re_c43_xsd.re_c43... |
[
"-> Tuple[go.Figure, pd.DataFrame]: if pca_model is None: pca_model = PCAModel(num_components=num_components,",
"This file is part of Monet. from typing import Tuple",
"else: pc_scores = pca_model.transform(matrix) adata = ExpMatrix(pc_scores.T).to_anndata() adata.obsm['pc_scores'] = pc_scores.values",
"= PCA... |
[
"df_exp_descr.append(dict_line, ignore_index=True) log.banner('Here is the content of the description '",
"os import shutil import argparse # aliased standard modules import",
"new file right ? (y/n/abort).\\n' 'If you type n, you",
"if test == 'welch': pdf_file = utils.clean_path(p_stages, '{}_{}.pdf'.format... |
[
"} ) def get() -> FlaskApiReturnType: \"\"\" Returns liveness status.",
"api, FlaskApiReturnType @api.default_namespace.route(\"/liveness\") class HealthLiveness(Resource): \"\"\"Implements the /liveness GET method.\"\"\"",
"HealthLiveness class.\"\"\" from flask_restx import Resource from ml_rest_api.api.restx... |
[
"= self.layer.call(inputs) return outputs def get_config(self): base_config = super(CustomOpWrapper, self).get_config()",
"some attributes\"\"\" def __init__(self, layer, **kwargs): \"\"\"Create a custom layer",
"def get_config(self): base_config = super(CustomOpWrapper, self).get_config() config = {} return",
... |
[
") if response.status_code != 200: raise BadResponse( \"The service responded",
"domain, update_attrs): response = requests.patch( urljoin(self.service_address, f\"domains/{domain}/\"), headers=self.headers, json=update_attrs, )",
"if response.status_code != 200: raise BadResponse( \"The service responded with"... |
[] |
[] |
[
"= SSHFPForm queryset = SSHFP.objects.all() class SSHFPDeleteView(SSHFPView, MozdnsDeleteView): \"\"\" \"\"\"",
"queryset = SSHFP.objects.all() class SSHFPDeleteView(SSHFPView, MozdnsDeleteView): \"\"\" \"\"\" class SSHFPDetailView(SSHFPView,",
"class SSHFPDetailView(SSHFPView, MozdnsDetailView): \"\"\" \"\"\" ... |
[
"be pyppeteer.page.Page\") await with_utils(page, **kwargs) await chrome_app(page, **kwargs) await chrome_runtime(page,",
"await sourceurl(page, **kwargs) await navigator_hardware_concurrency(page, **kwargs) await navigator_languages(page, **kwargs) await",
"from .chrome_runtime import chrome_runtime from .ifra... |
[
"break if is_match(s[:-idx], p): return True # examine if skipping",
"string and there is still a pattern remaining, discard any",
"does not match the entire string \"aa\". Example 2: Input:",
"from the pattern (the * matching 0 characters). If we",
"s == p: return True elif s and not p:",
"else: # match,... |
[
"Point(lat, lon) self.track = line[54:57] self.msg = line[60:63] self.last =",
"<reponame>jacob-zeiger/skyspy from datetime import datetime, timedelta from shapely.geometry import Point",
"ts = datetime.now() self.hexcode = line[0:6] self.flight = line[7:14].replace(\" \",",
"lat = float(lat) lon = float(lon)... |
[
"3\", \"License :: OSI Approved :: BSD License\", \"Operating System",
"import yaml with open(\"README.md\", \"r\") as fh: long_description = fh.read()",
"Python :: 3\", \"License :: OSI Approved :: BSD License\",",
"= setuptools.find_packages(), classifiers = [ \"Programming Language :: Python ::",
"[a.spl... |
[
"the global var assert ret.contents.value == 4 if __name__ ==",
"CEvaluator() ret = pcc.evaluate(''' int a = 50; int b",
"= pcc.evaluate(''' int a = 50; int b = 4;",
"os.path.dirname(this_dir) sys.path.insert(0, parent_dir) from pcc.evaluater.c_evaluator import CEvaluator import unittest class",
"from pcc.e... |
[
"import oneshot class MarkdownPage(Page): \"\"\" Page type that renders its",
"Path from markdown import markdown from gilbert import Site from",
"[]) return markdown(self.data, output_format=\"html5\", extensions=extras) def load_md(path: Path) -> LoaderResult:",
"@oneshot def content(self) -> str: extras = ... |
[
"import utils from enert import * def clearscreen(): \"\"\" Customized",
"def clearscreen(): \"\"\" Customized clearscreen from https://github.com/longld/peda \"\"\" print(\"\\x1b[2J\\x1b[H\") utils.clearscreen",
"* def clearscreen(): \"\"\" Customized clearscreen from https://github.com/longld/peda \"\"\" prin... |
[
"= '' self.mine = False self.batter = self.position != 'RP'",
"key = key_start + \"_\" + site if site ==",
"+ '_ops'] = row.find_element_by_xpath('.//td[@data-stat=\"onbase_plus_slugging\"]').text except Exception: self.stats[key_start + '_era'] =",
"'_slg'] = row.find_element_by_xpath('.//td[16]').text self.... |
[
"multiple dictionary objects into one. :param variadic args: Multiple dictionary",
"API :param str action: The API action :param dict data:",
"response \"\"\" http = httplib2.Http() body = urllib.urlencode(data) if (sys.version_info[0]",
"url = 'https://' + self.endpoint + '/' + action url",
":param dict ex... |
[
"None: \"\"\" Export yaml :param data: A dictionary of data",
"Export yaml :param data: A dictionary of data that will",
"self.file_path = file_path def exists(self) -> bool: return os.path.exists(self.file_path) def",
"as dictionary format \"\"\" with open(self.file_path, \"r\", encoding=\"utf-8\") as yf:",
... |
[
"calcArea(img): I = ee.Image(img) area = I.select('VV').lt(99999999).multiply(AreaImg).reduceRegion( reducer = ee.Reducer.sum(),",
"= 6098838800, tileScale = 16 ) inPixelmean = vv.reduceRegion( reducer",
"calcThresh(img): img = ee.Image(img) wMean = ee.Number(img.get('wMean')) wStd = ee.Number(img.get('wStd'))"... |
[
"pytest.raises(NameError) as e_info: solver = Solver(grid, system) if verbose: print(str(e_info.value))",
"= 32 grid = ChebyshevExtremaGrid(N, -1, 1) # Create a",
"(and only) equation system.add_equation(\"sigma*z*f = dz(dz(f))\") system.add_boundary('f', 'Dirichlet', 'B*f =",
"found when the solve method is ... |
[
"proper shape using the --shape flag to the submodule predict",
"prediction \\U000027A1 z: third (height) dimension \\U000027A1 c: color channels",
") ) @property def image(self): \"\"\"Load a single image.\"\"\" return",
"<reponame>BioinfoTongLI/deepBlink \"\"\"CLI submodule for checking image shapes.\"\"\" ... |
[
"yield except for rents') @FunctionField def income_capital(self, df): \"\"\"All sources",
"(products)') @FunctionField def income_work_secondary_money(self, df): \"\"\"Total income from secondary job\"\"\"",
"return total # Other income sources #################################################### income_other ... |
[
"def getIndiceSalariosBase2016(self): \"\"\" Es un indice que estima la evolucion",
"de descarga del cvs urlPackage=\"https://datos.gob.ar/api/3/action/package_show?id=sspm-principales-variables-ocupacionales-eph-continua-actividad\" s=requests.get(urlPackage).content objJson = json.loads(s) resultado",
"\"\"\"... |
[
"KthLargest(int k, int[] nums) { this.k = k; this.pq =",
"{ pq.offer(num); if (pq.size() > k) pq.poll(); } } public",
"class TestMethods(unittest.TestCase): def test_Local(self): self.assertEqual(1, 1) if __name__ == '__main__':",
"new PriorityQueue<>(); for (int num : nums) { pq.offer(num); if",
"int val) ... |
[
"test cudaf_job.workload.append(gepy.serial_command('cd ', ['cudafortran_pi_dir'])) cudaf_job.workload.append(gepy.serial_command('make ', ['clean'])) cudaf_job.workload.append(gepy.serial_command('make ', []))",
"# This script does a test of a particular nvidia",
"+ 'openacc' print('Submitting jobs') j,t = gep... |
[
"velocity for a motion command angle_mat = np.array([[math.cos(30*(self.M_PI/180)), math.cos(150*(self.M_PI/180)), math.cos(90*(self.M_PI/180))],",
"math.cos(90*(self.M_PI/180))], [-math.sin(30*(self.M_PI/180)), -math.sin(150*(self.M_PI/180)),math.sin(90*(self.M_PI/180))], [1, 1, 1]]) angle_mat_inv = al.inv(angle... |
[
"stockfish.set_position(move_list) return long_algebraic_to_coordinate(stockfish.get_best_move()) def long_algebraic_to_coordinate(move): initial, final, promotion_piece = move[:2],",
"return long_algebraic_to_coordinate(stockfish.get_best_move()) def long_algebraic_to_coordinate(move): initial, final, promotion_... |
[
"<gh_stars>0 from ..gameModel import GameModel from ..appLib.messageFormatters import msgWelcome async",
"import msgWelcome async def start(cls: GameModel) -> None: return msgWelcome()",
"from ..gameModel import GameModel from ..appLib.messageFormatters import msgWelcome async def",
"import GameModel from ..a... |
[
"programa retorna a tabuada de multiplicação desse. ######## import sys",
"ler_cabecalho('tabuada de multiplicação') while True: num = ler_num_nat('Digite um número:",
"um número inteiro e programa retorna a tabuada de multiplicação",
"while True: num = ler_num_nat('Digite um número: ') i =",
"a tabuada de ... |
[
"key = models.CharField(max_length=100) description = models.CharField(max_length=200) fill_quantity_min = models.IntegerField() fill_quantity_max",
"models.CharField(max_length=100) description = models.CharField(max_length=200) fill_quantity_min = models.IntegerField() fill_quantity_max = models.IntegerField()"... |
[
"path, params = file_uri.split('?') params = dict(tuple(field_and_value.split('=')) for field_and_value in",
"'--output', required=True, help='Path for output file') return parser.parse_args() def main():",
"environment variable') parser.add_argument('-t', '--template', required=True, help='Path to the template... |
[
"from ._base import * class TestCase003(TestCase): def __init__(self): TestCase.__init__(self, id='003',",
"def __init__(self): TestCase.__init__(self, id='003', alt_id='fixed_pps_increasing_pps_58_bytes', description='Fixed PPS. Increasing State Transfer",
"Increasing State Transfer Duration. 58 Byte Packets',... |
[
"def params(self): # ReLU Doesn't have any parameters return {}",
"X): # TODO: Implement forward pass # Your final implementation",
"= np.zeros_like(value); class ReLULayer: def __init__(self): self.X = None def",
"TODO: Implement backward pass # Your final implementation shouldn't have",
"reg_strength): \"... |
[
"target, source_parent): # target.conversion_factor = obj.conversion_factor # target.qty = flt(flt(obj.stock_qty)",
"add_days, get_link_to_form class FixedAssetRequest(Document): pass def set_missing_values(source, target_doc): if target_doc.doctype",
"source_name, { \"Fixed Asset Request\": { \"doctype\": \"Re... |
[
"#print(\"main ....\") #t1 = threading.Thread(target=thread_body) # t1.start() # block #",
"json import requests def sum(*numbers): total = 0.0 for number",
"# crt ctrl thread obj controlthread controlthread = threading.Thread(target=controlthread_body) controlthread.start()",
"print_value() print('全局变量x = {0... |
[
"ret = cls(None, None, None) ret.projections = projections return ret",
"(self.shortterm(Xd)+1) # dbe # Integrate output = self.internal_forward(WD, W, Xd)",
"deo ->bo', W, Xd, self.delaymap) def load_state_dict(self, *args, **kwargs): super(Synapse,",
"post) Vpost: (batch, post) Output: Current (batch, post)... |
[
"( 'django.contrib.sessions.middleware.SessionMiddleware', ), 'STATIC_ROOT': '/tmp/dpaste_test_static/', 'STATIC_URL': '/static/', 'ROOT_URLCONF': 'dpaste.urls', 'LANGUAGE_CODE':",
"{ 'ENGINE': 'django.db.backends.sqlite3', 'NAME': 'dev.db', }, # 'default': { #",
"'PASSWORD': '', # } }, 'TEMPLATES': [ { 'BACKEN... |
[
"is off, and setting the PWM up so that the",
"raise LedError(\"Error while turning the LED on.\") def off(self): \"\"\"",
"the LED. Make sure you have turned the LED on.\")",
"don't first turn the LED on this will error out.",
"you don't first turn the LED on this will error",
"defined LED off. \"\"\" tr... |
[
"def predict(): xss_test_data, xss_test_label = data_loader(XSS_TEST_FILE, 'xss') normal_test_data, normal_test_label =",
"numpy as np from sklearn.preprocessing import LabelEncoder from sklearn.externals import",
"MyMLPClassifier() classifier.train() def predict(): xss_test_data, xss_test_label = data_loader(X... |
[
"states = [\"%s/epoch-%s.pt\" % (args.model_path, s) for s in states]",
"import load_object_param parser = argparse.ArgumentParser(description='pynn') parser.add_argument('--model-path', help='model saving path', default='model')",
"'%s/epoch-avg.pt' % args.model_path torch.save(state, model_file) else: dic = {... |
[
"__init__(self,model): super().__init__(model) def forward(self,x0,ts): Nt = x0.shape[0] Xs = np.zeros(Nt,dtype=np.object)",
"= ops.convert_to_tensor(ts[i], preferred_dtype=float_type, name='t') y0 = ops.convert_to_tensor(x0[i,:].reshape((1,-1)), name='y0') time_delta_grid =",
"super().__init__(model) self.s = ... |
[
"= tkinter.StringVar() self.show_team1_rb = ttk.Radiobutton( self.controls_lfrm, text=\"Radiant\", variable=self.show_rb_var, value=\"team1\", )",
"hero not in hero_or_team.heroes: self.stats_lst.append_stat(f\"{hero:20} {stat:+.2f}\") self.stats_lst.grid(row=1, column=0) # performed",
"ttk from Hero import Her... |
[
"camera_resources=None, detector_resources=None): network = Network( name=f\"field_{cluster_id}\", conditions=NetworkConditions.WIFI) nodes_camera = [",
"broker = Broker( name=f\"broker\", networks=[network_edge_1, network_edge_2]) camera_resources = NodeResources( target_cpu_speed=200,",
"_ID_2 = \"loc2\" _THI... |
[
"<gh_stars>1-10 from bulletin.api import permissions from bulletin.api.views import PostList, PostDetail",
"import serializers from bulletin.tools.plugins.models import Job class JobList(PostList): queryset =",
"import PostList, PostDetail import serializers from bulletin.tools.plugins.models import Job class",... |
[
"матрицы B(kj). # # Две матрицы можно перемножать только в",
"multiply(C, D) # [[2, 9, 2], [6, 19, 6], [1,",
"t_matrix2[j][k] return result C = [ [2, 5], [6, 7],",
"[[1, 2], [3, 2]] # >>> B = [[3, 2],",
"в том случае, если количество столбцов # в первой матрице",
"in range(len(matrix1))] for i in range(le... |
[
"distractor = Image.open(distractor_path) distractors.append(distractor) preprocessing = transforms.Compose([ transforms.Scale(256), transforms.CenterCrop(224), transforms.ToTensor(),",
"parser.add_argument('--n_samples', type=int, default=5, help='number of samples per iteration') parser.add_argument('--n_iters'... |
[
"b > a: max_v = b for i in range(max_v,",
"== 0: return i return multiple print(get_lcm(6, 8)) print(get_lcm(12, 15))",
"max_v = b for i in range(max_v, multiple): if i",
"% b == 0: return i return multiple print(get_lcm(6, 8))",
"multiple = a * b max_v = a if b",
"= a * b max_v = a if b >",
"i in range... |