ngram listlengths 0 67.8k |
|---|
[
"'Python') def test_multiple_word(self): text = 'python django' result = cap.cap_text(text) self.assertEquals(result, 'Python Django')",
"= 'python' result = cap.cap_text(text) self.assertEquals(result, 'Python') def test_multiple_word(self): text = 'python django'",
"'python django' result = cap.cap_text(text)... |
[
"} class Vault: _cache = {} cast_handlers: 'Dict[Callable]' = {} secret_sources: 'List[BaseSecretSource]' =",
"self._get_from_source(name, default, source) value = self._preprocess(value, preprocessors) value = self._cast_to(value, cast_to, default) if",
"= {} if secret_sources is None: secret_sources = [] if p... |
[
"-*- coding: utf-8 -*- \"\"\" Demo showing how km_dict and insegtannotator may be",
"print('Loading image') filename = '../data/glass.png' image = skimage.io.imread(filename) #%% EXAMPLE 2: nerve fibres",
"= 35000 normalization = False image_float = image.astype(np.float)/255 # Build tree T =",
"label_image =... |
[
"t in h.tetrads] logging.debug(f'Selected chain order: {\" \".join(final_order)} ' f'{\" \".join(map(lambda onz: onz.value,",
"ONZM.from_value(f'{onz}{direction}{plus_minus}') def __classify_by_gba(self) -> List[GbaQuadruplexClassification]: gbas = set() for t in self.tetrads: gba",
"from collections import def... |
[
".database import Experiment, Movement, Trial from . import plots from . import utils",
"from .database import Experiment, Movement, Trial from . import plots from . import"
] |
[
"np.testing.assert_equal( last_row[\"midday_rgb_filename\"], \"dukehw_2020_07_15_115405.jpg\" ) np.testing.assert_equal( last_row[\"midday_ir_filename\"], \"dukehw_IR_2020_07_15_115405.jpg\" ) np.testing.assert_equal(first_row[\"ndvi_mean\"], 0.22027) np.testing.assert_equal(first_row[\"ndvi_std\"], 0.16966) np.tes... |
[
"%s and firmware is: %s\" % ( self.moduletype, info[0], info[1], ) def get_type(self):",
"0x01 = ON or 0x00 = OFF \"\"\" register = self.OEM_EC_REGISTERS[\"device_led\"] self.write(register, state)",
"\"EC\" == self.moduletype: points = {\"dry\": 0x02, \"single\": 0x03, \"low\": 0x04, \"high\": 0x05}",
"# ---... |
[
"main(request, environ).getResult() # except Exception as ex: # error = {\"error\": str(ex.args[0])} #",
"{\"status\": 200, \"value\": error, \"type\": \"application/json\"} self.response = main(request, environ).getResult() def result(self): if",
"make anything. self.response = \"\"\"<h1>Petition doesn't have ... |
[
"shell. \"\"\" from twisted.python.versions import Version from twisted.python.deprecate import deprecatedModuleAttribute deprecatedModuleAttribute( Version(\"Twisted\", 11,",
"details. \"\"\" Subpackage containing the modules that implement the command line tools. Note",
"from twisted.python.deprecate import d... |
[
"item[1]) ) except Exception as e: print(e) return Response('The Roads database is offline',",
"item in conf.db_select(sql): items.append( (item[0], item[1]) ) except Exception as e: print(e) return",
"mapping points = [] for coords in coords_list: points.append(tuple([coords[1], coords[0]])) ave_lat = sum(p[0]... |
[
"Team - Sheldon, Martin, Brian, Sarah, Veronica. \"\"\" from django.urls import re_path from",
"re_path from .consumers import ChatConsumer # Assign pattern to activate selected websocket websocket_urlpatterns",
"import ChatConsumer # Assign pattern to activate selected websocket websocket_urlpatterns = [ re_pa... |
[
"main(): logging.basicConfig(level=logging.DEBUG) args = get_args() instance_info = ebs.get_instance_info(args.instance_id) resource_state = ResourceState(args, instance_info) resource_state.survey()",
"'created' else: logger.info('Did not find any available volumes. Searching for a ' 'suitable",
"self.state = ... |
[
"assert new_replica_found volume = common.wait_for_volume_healthy(client, volume_name) volume = client.by_id_volume(volume_name) assert volume[\"state\"] == common.VOLUME_STATE_ATTACHED",
"== base_image host_id = get_self_host_id() volume = volume.attach(hostId=host_id) volume = common.wait_for_volume_healthy(cli... |
[
"__init__(self, input_channels, hidden_channels, width = 128): ''' :param input_channels: the number of input",
"= torch.nn.Linear(width, width) self.linear3 = torch.nn.Linear(width, input_channels * hidden_channels) def forward(self, t, z):",
"matrix, # because we need it to represent a linear map from R^input... |
[
"= 2 if rlt == tmpy: tr += 1 else: fl += 1",
"x, y2, 'b', x, y3, 'y') #fig.savefig('level.png', dpi=100) #fig.show() tr = 0 fl",
"tmpy = 1 else: tmpx = [set21.val(), set22.val(), set23.val()] tmpy = 2 rlt",
"rlt[0] > rlt[1]: rlt = 1 else: rlt = 2 if rlt ==",
"= [jg2.cal([item, item ** 2, item ** 3]) for ite... |
[
"e está ou não na lista''' valores = [] while True: valores.append(int(input('Digite um",
"forma decrescente. C) Se o valor 5 foi digitado e está ou não",
"valores.sort(reverse=True) print(f'Os valores em ordem decrescente são {valores}') if 5 in valores: print('O",
"valores, ordenada de forma decrescente. C)... |
[
"'127.0.0.1' # Standard loopback interface address (localhost) PORT = 65433 # Port to",
"interface address (localhost) PORT = 65433 # Port to listen on (non-privileged ports",
"0: Male, 1: Female birthday = split[3] # yyyy/mm/dd countryc = split[4] #",
"Standard loopback interface address (localhost) PORT = 6... |
[
"name='PresentationCover', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('image', models.URLField(verbose_name='image')), ('label', models.CharField(blank=True, max_length=50, verbose_name='label')),",
"on 2018-02-20 06:45 from __future__ import unico... |
[
"np.zeros((dattorro.dsp.num_in, args.fs), dtype=dattorro.dsp.dtype) audio[:, 0] = 1 out = dattorro.compute(audio) print(audio) print(out) spec",
"= 10**(-0.5) # -10 dB cur_G = dattorro.dsp.ui.p_Gain.zone cur_F = dattorro.dsp.ui.p_Center_Freq.zone fig =",
"at -60 dB because the minimum is at an extremely low -16... |
[
"from .core import BaseRunner from .solo import SingleThreadASGIRunner, SingleThreadRunner, SingleThreadWSGIRunner from .threadpool import",
"import BaseRunner from .solo import SingleThreadASGIRunner, SingleThreadRunner, SingleThreadWSGIRunner from .threadpool import ThreadPoolASGIRunner, ThreadPoolRunner,",
"... |
[
"long_description=open(\"README.md\", \"r\").read(), long_description_content_type=\"text/markdown\", include_package_data=True, exclude_package_date={'': ['.gitignore']}, keywords='tcp, tunnel, tcp-tunnel, tcptunnel', license='MIT License', url='https://github.com/sqxccdy/tcp-tunnel.git',",
"'tcp_tunnel.*',]), a... |
[
"import FlaskForm from . import SubmitField class ActionTable(FlaskForm): activate = SubmitField('Activate') deactivate =",
"<filename>pertemuan_8/7_HTTP_API_With_Sensor/app/forms/_action.py from . import FlaskForm from . import SubmitField class ActionTable(FlaskForm): activate =",
". import FlaskForm from . i... |
[
"= splitext(f) if ext == '.scss' and name[0] != '_': print(\"[sass] \" +",
"if __name__ == '__main__': try: arg = sys.argv[1] except IndexError: arg = None",
"\" {\\n\" files_and_extensions = [(f, splitext(f)[1][1:]) for f in files] for image, ext",
"http.server.SimpleHTTPRequestHandler httpd = TemporaryTCPSe... |
[
"== \"__main__\": with open(sys.argv[1],'r',encoding = 'utf8') as f: # indicates that the second",
"how to use it $ python readFile.py data.txt Show content of data.txt \"\"\"",
"\"\"\" import sys if __name__ == \"__main__\": with open(sys.argv[1],'r',encoding = 'utf8') as f:",
"f: # indicates that the second... |
[
"path from . import views app_name = 'operations' urlpatterns = [ # 用户个人中心",
"name='reset_head_portrait'), # 修改用户密码 path('reset_user_password/', views.ResetUserPasswordView.as_view(), name='reset_user_password'), # 修改用户信息 path('reset_user_information/', views.ResetUserInformationView.as_view(), name='reset_user_i... |
[
"255)) def thumbnail(**options): # images: a list of Image objects, or a list",
"back_image.paste(star, (LEFT_OFFSET, OUT_HEIGHT - BOTTOM_OFFSET - STAT_STEP * (i + 1)), mask=star) back_image.save(fn)",
"- real_height draw.text((x, y), s, fill=(245, 255, 250), font=font) elif back_number in [f'back_{n}'",
"Ima... |
[
"x: int) -> int: f=False if x<0: f=True y=str(abs(x)) y=y[::-1] x=int(y) if -2147483648<=x",
"-> int: f=False if x<0: f=True y=str(abs(x)) y=y[::-1] x=int(y) if -2147483648<=x and x<=2147483647:",
"int) -> int: f=False if x<0: f=True y=str(abs(x)) y=y[::-1] x=int(y) if -2147483648<=x and",
"f=False if x<0: f=... |
[
"'ROCK' or player.upper() != 'PAPER' or player.upper() != 'SCISSORS': # print(\"Syntax error. Please",
"2: 'PAPER', 3: 'SCISSORS'} def cpu_move(): cpu_rand = randint(1, 3) return cpu_rand def",
"3) return cpu_rand def player_move(): player = input(\"Choose a move: ('ROCK', 'PAPER', or",
"print(\"Oh no! You lo... |
[
"# # Licensed under the Apache License, Version 2.0 (the \"License\"); # you",
"writing, software # distributed under the License is distributed on an \"AS IS\"",
"StartInstanceError(RuntimeError): \"\"\"Instance could not be started\"\"\" # StartInstanceError class ComponentProbeError(RuntimeError): \"\"\"Comp... |
[
"pair_counter = 0 prev_pair = pair if first: first = False ## Handle",
"prev_pair and not first: nodes_to_norm = set() for path in filtered_paths[prev_pair]: for node",
"pair_counter == 150_000: print(f\"{total_pairs} processed.\", flush=True) pair_counter = 0 prev_pair = pair if",
"True edge_to_pair_dict = d... |
[
"print (p[0], \"has fewer than 10 moons.\") except FileNotFoundError: print (\"There is no",
"i in range (0, 8): # Read a line as string s s",
"Open the file try: infile = open (\"planets.txt\", \"r\") # Read (skip over)",
"Break s into components based on commas giving list P p = s.split",
"\"has fewer tha... |
[
"username, password, dirname): if not dirname: dirname = username command = \"useradd -p",
"return ('Cannot delete user',1) def updatePriv(self,username): command = \"usermod -aG sudo \"+username try:",
"try: val = self.conn.sudo(command,password=self.rootPass,hide=True).stdout.strip() return ('User Created: '+... |
[
"of type {} as Currency (invalid type): {}\".format(type(value), value)) # operator overloading to",
"encoder): \"\"\" Encode this currency according to the Sia Binary Encoding format. \"\"\"",
"def sum(cls, *values): s = cls() for value in values: s.__iadd__(value) return s",
"cls() c.value = jsdec.Decimal(o... |
[
"in range(len(labels)): if labels[i] == 1: positive.append(X[i]) else: negative.append(X[i]) positive = np.array(positive) negative",
"self.dim = dim self.matrixTransf = None def fit_transform(self, X, labels): positive = []",
"sub) self.matrixTransf = np.array(wLDA) print(\"Matriz de transformação\") print(sel... |
[
"__license__ = 'MIT' from tweepy.models import Status, User, DirectMessage, Friendship, SavedSearch, SearchResults, ModelFactory,",
"from tweepy.limit import RateLimitHandler from tweepy.streaming import Stream, StreamListener from tweepy.cursor import Cursor",
"debug(enable=True, level=1): from six.moves.http_... |
[
"PDST # eMail: <EMAIL> # Purpose: Solution to Q5 page 53 from turtle",
"lineLen = randint(50, 100) left(angle) forward(lineLen) angle = randint(0, 360) lineLen = randint(50,",
"Solution to Q5 page 53 from turtle import * from random import *",
"randint(50, 100) left(angle) forward(lineLen) angle = randint(0, ... |
[
"which to place results') args = construct_hyper_param(parser) return args def load_models(args): BERT_PT_PATH =",
"pass def read_scripts(txt_path): nlu = [] with open(txt_path, 'r') as f: line =",
"'__main__': dset_name = 'qian' save_path = './Qian_data/' ### model args = get_args() model,",
"tb.append(data_... |
[
"positive integer\") self.priorities += [msgType] self.buffers[msgType] = bytearray(0) def sizeHandler(data): \"\"\" Size of",
"in self.priorities: raise ValueError(\"Message type not defined\") self.buffers[msgType] += data def getMessage(self): \"\"\"Extract",
"\"\"\" Helper package for handling fragmentation... |
[
"KIND, either express or implied. # See the License for the specific language",
"Unless required by applicable law or agreed to in writing, software # distributed",
"port: int, mlmd_connection: metadata.Metadata, execution: metadata_store_pb2.Execution, address: Optional[str] = None, creds: Optional[grpc.Server... |
[
"get_options() ##{ 临时改超参数 opt.gpu = '1' opt.batch_size = 1 opt.max_epochs = 160 opt.method",
"opt def seed_torch(seed=1029): random.seed(seed) os.environ['PYTHONHASHSEED'] = str(seed) np.random.seed(seed) torch.manual_seed(seed) torch.cuda.manual_seed(seed) torch.cuda.manual_seed_all(seed) # if",
"train_attr_ve... |
[
"rospy.Publisher( '/mavros/setpoint_attitude/attitude', PoseStamped, queue_size=10 ) self._pubs['velocity'] = rospy.Publisher( '/mavros/setpoint_attitude/velocity', PoseStamped, queue_size=10 ) self._pubs['thrust']",
"self._pubs['velocity'] = rospy.Publisher( '/mavros/setpoint_attitude/velocity', PoseStamped, que... |
[
"print(f'Wait for {seconds} seconds, Current time is {datetime.today().time()}') import random # 由于Windows下multiprocess会执行整个代码块，所以会引起循环创建进程的问题 #",
"13) print(my_birthday) # Q8 # 星期从零开始计数 print(my_birthday.weekday()) # 星期从一开始计数 print(my_birthday.isoweekday()) # Q9 from",
"import date now = date.today() now_strin... |
[
"bbox_inches='tight') sess = tf.Session(config=tf.ConfigProto(device_count={'GPU': 0})) if __name__ == '__main__': # playing_with_losses() # tf_dataset_experiments()",
"depth_reconstructed_val[:, :, :, 0] # coord.request_stop() # coord.join(threads) # # layer = 2",
"= 320 # TARGET_HEIGHT = 120 # TARGET_WIDTH = ... |
[
"Unless required by applicable law or agreed to in writing, software # distributed",
"own links to a single CacheManager instance # feels hacky; see if there's",
"having resolved through any \"alias\" targets. \"\"\" def __init__(self, cache_manager, target, cache_key): if",
"len(current_group.vts) > 1: # Too... |
[
"StringIO() ValueSource.write(value_iter, output_stream=s) received = s.getvalue() s.close() jrec = json.loads(received) expect_to_find = {",
"case the provisions of the GPL or the LGPL are applicable instead #",
"suffix='.json', delete=False) name = '/tmp/test.json' import functools opener = functools.partial(... |
[
"<gh_stars>0 a = input() b = '<PASSWORD>' if a == b: print('Welcome') else:",
"= input() b = '<PASSWORD>' if a == b: print('Welcome') else: print('Wrong password!')",
"a = input() b = '<PASSWORD>' if a == b: print('Welcome') else: print('Wrong"
] |
[
"bl_idname = 'uvpackmaster2.uv_similarity_detection_help' bl_description = \"Show help for similarity detection\" URL_SUFFIX = \"similarity-detection\"",
"after packing (check the selected islands). Consider increasing the 'Precision' parameter. Sometimes increasing",
"0: self.last_msg_time = curr_time self.han... |
[
"as ByteLevelDecoder from tokenizers.models import BPE from tokenizers.normalizers import Lowercase, NFKC, Sequence from",
"trainers, processors def get_smi_files(directory): files = [] for filename in os.listdir(directory): if filename.endswith(\".smi\"):",
"__name__ == '__main__': parser = argparse.ArgumentPa... |
[
"= self.custom_link._meta.get_field('url').verbose_name max_length = self.custom_link._meta.get_field('url').max_length self.assertEquals(field_label, 'url') self.assertEquals(max_length, 255) def test_field_order_id(self): field_label =",
"setUp(self): self.custom_link = CustomLink.objects.create(name='Google', ... |