text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|># Reshape data
train_input = train_input.values.reshape(1,row_count,input_column_count)
train_output = train_output.values.reshape(1,row_count,len(train_output.columns))
# Build the model
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
from keras.optimizer... | code_fim | hard | {
"lang": "python",
"repo": "Archmonger/Xanadu-Parse",
"path": "/Xanadu-Parse/XanaduParse.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Archmonger/Xanadu-Parse path: /Xanadu-Parse/XanaduParse.py
# Training dataset
import pandas as pd
import numpy as np
train = pd.read_csv(r'train.csv', sep='|')
train_input = train[['Altered File Name','Content Type']]
train_output = train['Resolution']
row_count = train['Altered File Name'].coun... | code_fim | medium | {
"lang": "python",
"repo": "Archmonger/Xanadu-Parse",
"path": "/Xanadu-Parse/XanaduParse.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jdlrobson/ifttt path: /fabfile.py
from fabric.api import task, env, sudo, cd
tool_name = 'ifttt'
env.hosts = ['tools-login.wmflabs.org']
env.sudo_user = 'tools.{}'.format(tool_name)
env.sudo_prefix = 'sudo -ni '
env.use_ssh_config = True
<|fim_suffix|>@task
def deploy(*args):
with cd(code_... | code_fim | medium | {
"lang": "python",
"repo": "jdlrobson/ifttt",
"path": "/fabfile.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>@task
def deploy(*args):
with cd(code_dir):
sudo('git rev-list HEAD --max-count=1')
sudo('git fetch')
sudo('git reset --hard origin/master')
sudo('webservice uwsgi-python restart')<|fim_prefix|># repo: jdlrobson/ifttt path: /fabfile.py
from fabric.api import task, env,... | code_fim | medium | {
"lang": "python",
"repo": "jdlrobson/ifttt",
"path": "/fabfile.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>app_name = 'TREC'
urlpatterns = patterns('',
url(r'^$', views.homepage, name='homepage'),
url(r'^about/$',views.about, name='about'),
url(r'^leaderboard/$', views.leaderboard, name='leaderboard'),
url(r'^profile/$', views.profile, name='profile'),
url(r'^profile/(?P<username>.+)/$', v... | code_fim | medium | {
"lang": "python",
"repo": "2078910A/TRECevalProject",
"path": "/TRECappProject/TREC/urls.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 2078910A/TRECevalProject path: /TRECappProject/TREC/urls.py
from django.conf.urls import patterns, url
from TREC import views
from registration.backends.simple.views import RegistrationView
# Create a new class that redirects the user to the index page, if successful at logging
class MyRegistra... | code_fim | medium | {
"lang": "python",
"repo": "2078910A/TRECevalProject",
"path": "/TRECappProject/TREC/urls.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>urlpatterns = patterns('',
url(r'^$', views.homepage, name='homepage'),
url(r'^about/$',views.about, name='about'),
url(r'^leaderboard/$', views.leaderboard, name='leaderboard'),
url(r'^profile/$', views.profile, name='profile'),
url(r'^profile/(?P<username>.+)/$', views.otherprofile, ... | code_fim | medium | {
"lang": "python",
"repo": "2078910A/TRECevalProject",
"path": "/TRECappProject/TREC/urls.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
os.mkdir(destination)
except:
print ("Folder has failed to be created")
else:
print (caseid + " folder created successfully")
## Calling the funcion createcasefolder
createcasefolder (caseid)
## Branching the case based on the case type
if casetype == "chat" or c... | code_fim | medium | {
"lang": "python",
"repo": "tavaresrodrigo/oca",
"path": "/case.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>##outliers in non-linear pattern
X, y = generate_nonlinear_synthetic_sine_data_regression(600)
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.1, random_state=1)
plot_data_2d_regression(X_train, y_train, x_limit=[-4,10], y_limit=[-2,10])
#add outliers in features
X_train[::10]... | code_fim | hard | {
"lang": "python",
"repo": "vishnu-sagar/Data-Science",
"path": "/Data Science/11.regression/10.robust regression.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vishnu-sagar/Data-Science path: /Data Science/11.regression/10.robust regression.py
import sys
import os
path = os.path.abspath(os.path.join('.'))
sys.path.append(path)
path = 'G://'
sys.path.append(path)
from common_utils import *
from regression_utils import *
from kernel_utils impor... | code_fim | hard | {
"lang": "python",
"repo": "vishnu-sagar/Data-Science",
"path": "/Data Science/11.regression/10.robust regression.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> create_couriers(pg_connection, data_couriers)
create_orders(pg_connection, data_orders)
order = pg_connection.execute(update(Order.__table__).where(Order.id == data_complete['order_id']).values(
courier_id=data_complete['courier_id'], is_assign=True, is_complete=True, assign_time=assig... | code_fim | hard | {
"lang": "python",
"repo": "EGP24/async_candy_shop",
"path": "/tests/test_courier_service/test_get_courier_info.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: EGP24/async_candy_shop path: /tests/test_courier_service/test_get_courier_info.py
import pytest
from datetime import timedelta, datetime
from sqlalchemy.future import select
from sqlalchemy import update
from tests.functions_for_testing import get_stub, create_couriers, create_orders, interval_t... | code_fim | hard | {
"lang": "python",
"repo": "EGP24/async_candy_shop",
"path": "/tests/test_courier_service/test_get_courier_info.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>@pytest.mark.asyncio
async def test_validation_courier_id(client, pg_connection):
data_couriers = get_stub('success_create_couriers.json')
data_orders = get_stub('success_create_orders.json')
data_complete = get_stub('success_complete_order.json')
td = timedelta(minutes=15)
assign_time... | code_fim | hard | {
"lang": "python",
"repo": "EGP24/async_candy_shop",
"path": "/tests/test_courier_service/test_get_courier_info.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># create linear solver
ksp = PETSc.KSP()
ksp.create(PETSc.COMM_WORLD)
# use conjugate gradients
ksp.setType('cg')
# and incomplete Cholesky
ksp.getPC().setType('none')
#ksp.getPC().setType('jacobi')
# obtain sol & rhs vectors
x, b = A.getVecs()
x.set(0)
b.set(1)
# and next solve
ksp.setOperators(A)
ksp.se... | code_fim | hard | {
"lang": "python",
"repo": "ImageGuidedTherapyLab/ImageGuidedSolvers",
"path": "/Examples/LinearAlgebra/solveCG.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ImageGuidedTherapyLab/ImageGuidedSolvers path: /Examples/LinearAlgebra/solveCG.py
import sys, petsc4py
print "init"
PetscOptions = sys.argv
PetscOptions.append("-ksp_monitor")
PetscOptions.append("-ksp_converged_reason")
PetscOptions.append("-ksp_rtol")
PetscOptions.append("1.e-20")
petsc4py.ini... | code_fim | medium | {
"lang": "python",
"repo": "ImageGuidedTherapyLab/ImageGuidedSolvers",
"path": "/Examples/LinearAlgebra/solveCG.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Verificar se as entradas são válidas:
if (H < 0) or (h < 0) or (r < 0) or (H < h) or (H < 2*r):
print('Entradas invalidas')
else:
if (h < r): #Caso1
V=(1/3)*pi(h**2)*(3*r - h)
elif(h < H - r): #Caso2
V=(2/3)*pi*r**3+pi*r**2(h - r)
elif(h <= H): #Caso3
V=(4/3)*pi*(r**3) + pi*(r**2)*(H-2*r) - (1/... | code_fim | medium | {
"lang": "python",
"repo": "JosephLevinthal/Research-projects",
"path": "/5 - Notebooks e Data/1 - Análises numéricas/Arquivos David/Atualizados/logDicas-master/data/2019-1/222/users/4058/codes/1684_1102.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JosephLevinthal/Research-projects path: /5 - Notebooks e Data/1 - Análises numéricas/Arquivos David/Atualizados/logDicas-master/data/2019-1/222/users/4058/codes/1684_1102.py
# Teste todas as possibilidades de entradas 'H', 'h' e 'x'
# Se seu programa funciona para apenas um caso de tese, isso não... | code_fim | medium | {
"lang": "python",
"repo": "JosephLevinthal/Research-projects",
"path": "/5 - Notebooks e Data/1 - Análises numéricas/Arquivos David/Atualizados/logDicas-master/data/2019-1/222/users/4058/codes/1684_1102.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>_completo = driver.find_element_by_class_name('DocumentView-content document-content fos-bottomref')
documentos_info = driver.find_element_by_class_name('DocumentView-content-text')
lista_documentos.append(documentos_info)
print (lista_documentos)
driver.close()<|fim_prefix|># repo: machadolopes/c... | code_fim | hard | {
"lang": "python",
"repo": "machadolopes/celeiro",
"path": "/celeiro.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: machadolopes/celeiro path: /celeiro.py
from selenium import webdriver
from datetime import date
#cria driver para webscraping
driver = webdriver.Chrome()
#seleciona o dia atual do diário oficial
today = date.today()
dia = today.strftime("%d")
mes = today.strftime("%m")
ano = today.strftime("%Y"... | code_fim | hard | {
"lang": "python",
"repo": "machadolopes/celeiro",
"path": "/celeiro.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> class Meta:
model = Post
fields = ('id', 'author', 'body', 'created_at', 'likes')
read_only_fields = ('id',)
def get_likes(self, obj):
return obj.likes.all().count()<|fim_prefix|># repo: Jerome-Allgood/test_social_network path: /post/api/serializers.py
from rest_framework import serializers
<... | code_fim | medium | {
"lang": "python",
"repo": "Jerome-Allgood/test_social_network",
"path": "/post/api/serializers.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Jerome-Allgood/test_social_network path: /post/api/serializers.py
from rest_framework import serializers
from post.models import Post
class PostSerializer(serializers.ModelSerializer):
likes = serializers.SerializerMethodField()
class Meta:
<|fim_suffix|> def get_likes(self, obj):
return ... | code_fim | medium | {
"lang": "python",
"repo": "Jerome-Allgood/test_social_network",
"path": "/post/api/serializers.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return True
class AnonymousUser(AnonymousUserMixin):
def can(self, permissions):
return False
def is_administrator(self):
return False
login_manager.anonymous_user = AnonymousUser
@login_manager.user_loader
def load_user(user_id):
user_id = user_id.decode('utf-8')
... | code_fim | hard | {
"lang": "python",
"repo": "ZipLib/learngit",
"path": "/app/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def can(self, permissions):
return False
def is_administrator(self):
return False
login_manager.anonymous_user = AnonymousUser
@login_manager.user_loader
def load_user(user_id):
user_id = user_id.decode('utf-8')
if len(user_id) == 8:
return Patient.query.filter_b... | code_fim | hard | {
"lang": "python",
"repo": "ZipLib/learngit",
"path": "/app/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ZipLib/learngit path: /app/models.py
from werkzeug.security import generate_password_hash, check_password_hash
from itsdangerous import TimedJSONWebSignatureSerializer as Serializer
from flask import current_app
from flask_login import UserMixin, AnonymousUserMixin
from . import db, login_manager... | code_fim | hard | {
"lang": "python",
"repo": "ZipLib/learngit",
"path": "/app/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Register your models here.
admin.site.register(MyUser, UserAdmin)<|fim_prefix|># repo: dbmiddle/twitter_clone path: /twitteruser/admin.py
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
<|fim_middle|>from twitteruser.models import MyUser
| code_fim | easy | {
"lang": "python",
"repo": "dbmiddle/twitter_clone",
"path": "/twitteruser/admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dbmiddle/twitter_clone path: /twitteruser/admin.py
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
<|fim_suffix|># Register your models here.
admin.site.register(MyUser, UserAdmin)<|fim_middle|>from twitteruser.models import MyUser
| code_fim | easy | {
"lang": "python",
"repo": "dbmiddle/twitter_clone",
"path": "/twitteruser/admin.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
return self['committee']
except KeyError:
try:
return self['subcommittee']
except KeyError:
raise
@property
def metadata(self):
return Metadata.get_object(self['state'])<|fim_prefix|># repo: msabramo/... | code_fim | hard | {
"lang": "python",
"repo": "msabramo/billy",
"path": "/billy/models/committees.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: msabramo/billy path: /billy/models/committees.py
from .base import (db, Document, RelatedDocument, RelatedDocuments,
ListManager, DEBUG, logger)
from .metadata import Metadata
class CommitteeMember(dict):
legislator_object = RelatedDocument('Legislator', instance_key='leg... | code_fim | hard | {
"lang": "python",
"repo": "msabramo/billy",
"path": "/billy/models/committees.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Committee(Document):
collection = db.committees
feed_entries = RelatedDocuments('FeedEntry', model_keys=['entity_ids'])
members_objects = CommitteeMemberManager()
def display_name(self):
try:
return self['committee']
except KeyError:
try:
... | code_fim | hard | {
"lang": "python",
"repo": "msabramo/billy",
"path": "/billy/models/committees.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Given two weights a, b computes a coefficient
about how equal they are:
1.0 : Totally equal
0.0 : Totally different
The coefficient does not depend on (a + b)
and is computed using the following formula
1 - (np.abs(a - b) / (a + b))
This function is often used li... | code_fim | hard | {
"lang": "python",
"repo": "ulikoehler/UliEngineering",
"path": "/UliEngineering/SignalProcessing/Weight.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> _schema_translator = {
'dav': 'http',
'davs': 'https',
}
_logger.debug(
"[%s]Validating URN schema: %s",
self.id,
self.uri['scheme']
)
if self.uri['scheme'] in _schema_translator:
_logger.deb... | code_fim | hard | {
"lang": "python",
"repo": "hep-gc/dynafed_storagestats",
"path": "/dynafed_storagestats/dav/base.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hep-gc/dynafed_storagestats path: /dynafed_storagestats/dav/base.py
"""Defines DAV's StorageShare sub-class."""
import logging
import dynafed_storagestats.base
import dynafed_storagestats.dav.helpers as davhelpers
####################
# Module Variables #
####################
# Creating logg... | code_fim | hard | {
"lang": "python",
"repo": "hep-gc/dynafed_storagestats",
"path": "/dynafed_storagestats/dav/base.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AndrewWoodcock/Leetcode_Problems path: /7. Reverse Integer.py
def reverse(x: int) -> int:
<|fim_suffix|>
print(reverse(1534236469))
print(reverse(-123))<|fim_middle|> if x > 0:
out = int(str(x)[::-1])
else:
out = -int(str(abs(x))[::-1])
if (out <= -2147483647) or (out... | code_fim | medium | {
"lang": "python",
"repo": "AndrewWoodcock/Leetcode_Problems",
"path": "/7. Reverse Integer.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>print(reverse(1534236469))
print(reverse(-123))<|fim_prefix|># repo: AndrewWoodcock/Leetcode_Problems path: /7. Reverse Integer.py
def reverse(x: int) -> int:
<|fim_middle|> if x > 0:
out = int(str(x)[::-1])
else:
out = -int(str(abs(x))[::-1])
if (out <= -2147483647) or (out ... | code_fim | medium | {
"lang": "python",
"repo": "AndrewWoodcock/Leetcode_Problems",
"path": "/7. Reverse Integer.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if (out <= -2147483647) or (out >= 2147483647):
return 0
else:
return out
print(reverse(1534236469))
print(reverse(-123))<|fim_prefix|># repo: AndrewWoodcock/Leetcode_Problems path: /7. Reverse Integer.py
def reverse(x: int) -> int:
<|fim_middle|> if x > 0:
out = int... | code_fim | medium | {
"lang": "python",
"repo": "AndrewWoodcock/Leetcode_Problems",
"path": "/7. Reverse Integer.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 模板url
template_url = 'https://careers.tencent.com/tencentcareer/api/post/Query?timestamp=1614616268558&countryId=&cityId=&bgIds=&productId=&categoryId=&parentCategoryId=&attrId=&keyword=&pageIndex={}&pageSize=10&language=zh-cn&area=cn'
# 请求的url地址
request_url = response.re... | code_fim | medium | {
"lang": "python",
"repo": "wafer133/test_20210118",
"path": "/tencent/tencent/spiders/hr.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wafer133/test_20210118 path: /tencent/tencent/spiders/hr.py
# -*- coding: utf-8 -*-
import scrapy
import json
import re
class HrSpider(scrapy.Spider):
name = 'hr'
allowed_domains = ['tencent.com']
start_urls = ['https://careers.tencent.com/tencentcareer/api/post/Query?timestamp=1614... | code_fim | medium | {
"lang": "python",
"repo": "wafer133/test_20210118",
"path": "/tencent/tencent/spiders/hr.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> @abc.abstractmethod
def next(self, current: Token | None) -> Token:
...
@property
def stream(self, current: Token | None = None):
while True:
yield (current := self.next(current))<|fim_prefix|># repo: MentalBlood/Marasmatic path: /marasmatic/Base.py
import abc
import typing
import pydantic
im... | code_fim | hard | {
"lang": "python",
"repo": "MentalBlood/Marasmatic",
"path": "/marasmatic/Base.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
source : Input | None = None
def __post_init__(self):
if self.source:
for previous, current in itertools.pairwise(self.source.stream):
if current is not None:
self <<= Pair(previous, current)
@abc.abstractmethod
def __ilshift__(self, p: Pair) -> typing.Self:
...
@abc.abstractmetho... | code_fim | medium | {
"lang": "python",
"repo": "MentalBlood/Marasmatic",
"path": "/marasmatic/Base.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MentalBlood/Marasmatic path: /marasmatic/Base.py
import abc
import typing
import pydantic
import itertools
from .Pair import Pair
from .Input import Input
from .Token import Token
@pydantic.dataclasses.dataclass(frozen = True, kw_only = False)
class Base(metaclass = abc.ABCMeta):
<|fi... | code_fim | hard | {
"lang": "python",
"repo": "MentalBlood/Marasmatic",
"path": "/marasmatic/Base.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def setUp(self):
super(SeahorseTestCase, self).setUp()
self.db = get_db_conn_synchronous()
self.app = self.get_app()
create_users()
def tearDown(self):
super(SeahorseTestCase, self).tearDown()
delete_users()
self.db.close()
def get_app... | code_fim | medium | {
"lang": "python",
"repo": "iepathos/seahorse",
"path": "/tests/seahorse_tests.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_app(self):
if not hasattr(self, 'db'):
self.db = get_db_conn_synchronous()
app = make_app(self.db, test_conf)
return app
def assertGetReturns200(self, url):
self.http_client.fetch(self.get_url(url), self.stop)
response = self.wait()
... | code_fim | medium | {
"lang": "python",
"repo": "iepathos/seahorse",
"path": "/tests/seahorse_tests.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: iepathos/seahorse path: /tests/seahorse_tests.py
# -*- coding: utf-8 -*-
from seahorse.mind import make_app
from seahorse.db import get_db_conn_synchronous
from tornado.testing import AsyncHTTPTestCase
from tests.mock_data import test_conf, create_users, delete_users
<|fim_suffix|> if no... | code_fim | hard | {
"lang": "python",
"repo": "iepathos/seahorse",
"path": "/tests/seahorse_tests.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if str(other).isnumeric():
return Vector([val * other for val in self])
elif self.__isconformant(self, other):
return sum([self[i] * other[i] for i in range(len(self))])
else:
raise Exception
def __eq__(self, other):
if str(other).is... | code_fim | hard | {
"lang": "python",
"repo": "DmitryDankov207/python-labs",
"path": "/lr2/vector/vector.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DmitryDankov207/python-labs path: /lr2/vector/vector.py
from math import sqrt
class Vector:
def __init__(self, data):
self.__data = data
def __get__(self):
return self.__data
def __set__(self, val):
if not str(val).isnumeric():
raise Exception
... | code_fim | hard | {
"lang": "python",
"repo": "DmitryDankov207/python-labs",
"path": "/lr2/vector/vector.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def length(self):
return sqrt(sum([val * val for val in self]))
__isconformant = lambda self, x, y: True if len(x) == len(y) else False
if __name__ == '__main__':
vect1 = Vector([1, 2, 3, 4])
print('vect1: ', vect1)
vect1[0] = 8
print('changed vect1[0]: ', vect1[0])
... | code_fim | hard | {
"lang": "python",
"repo": "DmitryDankov207/python-labs",
"path": "/lr2/vector/vector.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SergeyAbdorin/Pixel_counting path: /pixel/backend/migrations/0001_initial.py
# Generated by Django 3.2.7 on 2021-09-10 09:02
from django.db import migrations, models
<|fim_suffix|>
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
na... | code_fim | hard | {
"lang": "python",
"repo": "SergeyAbdorin/Pixel_counting",
"path": "/pixel/backend/migrations/0001_initial.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.CreateModel(
name='Images',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('image', models.ImageField(upload_to='images/')),
('uplo... | code_fim | hard | {
"lang": "python",
"repo": "SergeyAbdorin/Pixel_counting",
"path": "/pixel/backend/migrations/0001_initial.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
]
operations = [
migrations.CreateModel(
name='Images',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('image', models.ImageField(upload_to='images... | code_fim | hard | {
"lang": "python",
"repo": "SergeyAbdorin/Pixel_counting",
"path": "/pixel/backend/migrations/0001_initial.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DLu/ros_computer_monitor path: /ros_hard_drive/scripts/ros_hard_drive
#!/usr/bin/python
import rospy
from ros_hard_drive.df import df
from ros_computer_msgs.msg import Drive, HardDrives
<|fim_suffix|> rospy.init_node('ros_hard_drive')
self.pub = rospy.Publisher('/hard_drive_space... | code_fim | medium | {
"lang": "python",
"repo": "DLu/ros_computer_monitor",
"path": "/ros_hard_drive/scripts/ros_hard_drive",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> rospy.init_node('ros_hard_drive')
self.pub = rospy.Publisher('/hard_drive_space', HardDrives, queue_size=1)
self.drives = rospy.get_param('~drives', [])
freq = rospy.get_param('~frequency', 1.0)
self.timer = rospy.Timer(rospy.Duration(1.0/freq), self.publish)
d... | code_fim | medium | {
"lang": "python",
"repo": "DLu/ros_computer_monitor",
"path": "/ros_hard_drive/scripts/ros_hard_drive",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: azizcruz/simple_real_time_chat_app_django path: /chat_app/views.py
from django.shortcuts import render
from django.http import HttpResponseRedirect
from django.urls import reverse
<|fim_suffix|># Handle Entering the Chatroom.
def chatroom(request):
if request.method != 'POST':
return... | code_fim | medium | {
"lang": "python",
"repo": "azizcruz/simple_real_time_chat_app_django",
"path": "/chat_app/views.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Handle Entering the Chatroom.
def chatroom(request):
if request.method != 'POST':
return HttpResponseRedirect(reverse('index'))
else:
context = {
'title': 'Chat Room',
'username': request.POST.get('username'),
}
return render(request, 'cha... | code_fim | medium | {
"lang": "python",
"repo": "azizcruz/simple_real_time_chat_app_django",
"path": "/chat_app/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> _TRUNCATE.__init__(self)
self.name = "TRUNCATING"
self.specie = 'verbs'
self.basic = "truncate"
self.jsondata = {}<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/verbs/_truncating.py
from xai.brain.wordbase.verbs._truncate import _TRUNCATE
#calss header
class _TRUNCATING(_TRUNCA... | code_fim | easy | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/verbs/_truncating.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/verbs/_truncating.py
from xai.brain.wordbase.verbs._truncate import _TRUNCATE
#calss header
class _TRUNCATING(_TRUNCATE, ):
<|fim_suffix|> _TRUNCATE.__init__(self)
self.name = "TRUNCATING"
self.specie = 'verbs'
self.basic = "truncate"
self.jsonda... | code_fim | easy | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/verbs/_truncating.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eddieatkinson/Python101 path: /python101.py
# print "Hello, World"
# print("Hello, World")
# print """
# Triple quotes
# are here
# to
# stay!
# """
# name = "Eddie Atkinson" #This is a string
# # Data types
# # strings - English stuff, for people to read.
# # numbers - something with digits ... | code_fim | hard | {
"lang": "python",
"repo": "eddieatkinson/Python101",
"path": "/python101.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>classSize = 19;
question = "How big is your class?";
response = raw_input("> ")
# Remember, raw input is always collected as a string
response_as_an_int = int(response)
if(response_as_an_int != classSize):
print "You must not be in the Sept class."
else:
print "You're with me!"<|fim_prefix|># repo: eddi... | code_fim | hard | {
"lang": "python",
"repo": "eddieatkinson/Python101",
"path": "/python101.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> global energyConsumption
global lastTime
global accel
global timestep
throttle = 0
brake = 0
timestep+=1
if(speed<speedlimit[0]-3 and timestep%2==0):
accel *=1.1
throttle =min(50,accel)
trL = False
msSpeed = speed*KMH_TO_MS
print(msSpeed,trafficLight[2],trafficLight[0])
if (trafficLight[1]... | code_fim | medium | {
"lang": "python",
"repo": "david-westreicher/catalysts2014",
"path": "/autonomouscar/lvl5.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: david-westreicher/catalysts2014 path: /autonomouscar/lvl5.py
import socket
import time as t
import math
KMH_TO_MS = 1000.0/3600.0
def readData():
speed = sf.readline().strip().split()
speed = float(speed[1])
distance = sf.readline().strip().split()
distance = float(distance[1])
time = sf.r... | code_fim | hard | {
"lang": "python",
"repo": "david-westreicher/catalysts2014",
"path": "/autonomouscar/lvl5.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect(("127.0.0.1", 7000))
sf = s.makefile()
while(True):
speed, distance, time,speedlimit,trafficLight = readData()
print(speed, distance, time,speedlimit,trafficLight)
#update
sf.readline()
throttle,brake = move(speed, distance, time,speedli... | code_fim | hard | {
"lang": "python",
"repo": "david-westreicher/catalysts2014",
"path": "/autonomouscar/lvl5.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Touche-Design/tactio-software path: /visualization/ParseThread.py
from PyQt5 import QtWidgets, QtCore, Qt, QtGui
import numpy as np
import serial
import traceback
import sys
from PyTactio import SerialProcessor, SerialStatus
'''
Defines the signals available from a running worker thread.
Suppor... | code_fim | hard | {
"lang": "python",
"repo": "Touche-Design/tactio-software",
"path": "/visualization/ParseThread.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>'''
class WorkerSignals(QtCore.QObject):
finished = QtCore.pyqtSignal()
error = QtCore.pyqtSignal(tuple)
gridData = QtCore.pyqtSignal(tuple)
sensorList = QtCore.pyqtSignal(list)
'''
Parser thread
Inherits from QRunnable to handler worker thread setup, signals and wrap-up.
Calls the pars... | code_fim | medium | {
"lang": "python",
"repo": "Touche-Design/tactio-software",
"path": "/visualization/ParseThread.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Silentsoul04/tg20hack path: /web/bobby/src/solve.py
#!/usr/bin/env python3
import sys
import requests
def post_data(endpoint, text):
with requests.post(endpoint, data = text) as r:
return r.text
def run_test():
<|fim_suffix|> if len(base_endpoint) == 0:
print(sys.argv[0] ... | code_fim | medium | {
"lang": "python",
"repo": "Silentsoul04/tg20hack",
"path": "/web/bobby/src/solve.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if len(sys.argv) == 1:
base_endpoint = "https://bobby.tghack.no"
elif len(sys.argv) == 2:
base_endpoint = sys.argv[1].rstrip("/")
if len(base_endpoint) == 0:
print(sys.argv[0] + " <endpoint>")
else:
with requests.Session() as s:
s.get(base_endpo... | code_fim | medium | {
"lang": "python",
"repo": "Silentsoul04/tg20hack",
"path": "/web/bobby/src/solve.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> logger.info("[thegroove360.italiafilmvideohd] fichas")
itemlist = []
data = httptools.downloadpage(item.url, headers=headers).data
patron = '<a class="poster" href="([^"]+)" title="(.*?)">\s*'
patron += '<img src="([^"]+)" alt=".*?" />'
matches = re.compile(patron, re.DOTALL).fi... | code_fim | hard | {
"lang": "python",
"repo": "TheGridRepo/channels",
"path": "/channels/italiafilmvideohd.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> data = scrapertools.cache_page(urlparse.urljoin(url, mir_url), headers=headers).replace('\n', '')
for media_label, media_url in re.compile(patron_media).findall(data):
urls.append(url_decode(media_url))
itemlist = servertools.find_video_items(d... | code_fim | hard | {
"lang": "python",
"repo": "TheGridRepo/channels",
"path": "/channels/italiafilmvideohd.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TheGridRepo/channels path: /channels/italiafilmvideohd.py
------------------------------------------------------------
# TheGroove360 / XBMC Plugin
# Canal para italiafilmvideohd
# ------------------------------------------------------------
import base64
import re
import urlparse
from core imp... | code_fim | hard | {
"lang": "python",
"repo": "TheGridRepo/channels",
"path": "/channels/italiafilmvideohd.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>md = Misaka(fenced_code=True)
md.init_app(app)
if __name__ == '__main__':
app.run(debug=True)<|fim_prefix|># repo: drmcarvalho/cyberiablog path: /app.py
from flask import Flask
from flask_misaka import Misaka
from artigo import artigo
from admin_artigo import admin_artigo
from autenticacao import au... | code_fim | hard | {
"lang": "python",
"repo": "drmcarvalho/cyberiablog",
"path": "/app.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: drmcarvalho/cyberiablog path: /app.py
from flask import Flask
from flask_misaka import Misaka
from artigo import artigo
from admin_artigo import admin_artigo
from autenticacao import autenticacao
from dotenv import load_dotenv
import os
<|fim_suffix|>app = Flask(__name__)
app.secret_key = os.env... | code_fim | medium | {
"lang": "python",
"repo": "drmcarvalho/cyberiablog",
"path": "/app.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kasterma/raft path: /machine.py
from collections import defaultdict
from dataclasses import dataclass
from typing import Union
@dataclass
class Command:
id: str # uuid identifying the command
key: str
val: Union[None, int] # None means look up
<|fim_suffix|> def __init__(self... | code_fim | medium | {
"lang": "python",
"repo": "kasterma/raft",
"path": "/machine.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """check if cmd has already been executed, then return its value, otherwise return None"""
return self.cmds.get(cmd.id)<|fim_prefix|># repo: kasterma/raft path: /machine.py
from collections import defaultdict
from dataclasses import dataclass
from typing import Union
@dataclass
class Co... | code_fim | hard | {
"lang": "python",
"repo": "kasterma/raft",
"path": "/machine.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self):
self.state = defaultdict(int)
self.cmds = {} # map from cmd uuid to result
def execute(self, cmd: Command) -> int:
"""commands have int results; note that if cmd has already been executed return earlier result"""
try:
return self.cm... | code_fim | medium | {
"lang": "python",
"repo": "kasterma/raft",
"path": "/machine.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
f = open('/Users/zfeng/Downloads/D-small-attempt0.in')
lines = f.readlines()
f.close()
for i in xrange(int(lines[0])):
print str.format('Case #{0}: {1}', i + 1, solver(lines[i + 1]))<|fim_prefix|># repo: DaHuO/Supergraph path: /codes/BuildLinks1.10/test... | code_fim | medium | {
"lang": "python",
"repo": "DaHuO/Supergraph",
"path": "/codes/BuildLinks1.10/test_input/CJ/16_0_4_chinawork_q4.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DaHuO/Supergraph path: /codes/BuildLinks1.10/test_input/CJ/16_0_4_chinawork_q4.py
__author__ = 'zfeng'
def solver(line):
d = [int(i) for i in line.strip().split()]
k, c, s = d[0], d[1], d[2]
res = ''
<|fim_suffix|> l = 1
for i in xrange(k):
res += str(l) + ' '
... | code_fim | easy | {
"lang": "python",
"repo": "DaHuO/Supergraph",
"path": "/codes/BuildLinks1.10/test_input/CJ/16_0_4_chinawork_q4.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> __depends__ = ['deltapy.commander',
'deltapy.security']<|fim_prefix|># repo: hamed1361554/sportmagazine-server path: /src/deltapy/request_processor/multiprocess/__init__.py
'''
Created on Feb 2, 2010
@author: Abi.Mohammadi & Majid.Vesal
'''
from deltapy.packaging.package import ... | code_fim | medium | {
"lang": "python",
"repo": "hamed1361554/sportmagazine-server",
"path": "/src/deltapy/request_processor/multiprocess/__init__.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hamed1361554/sportmagazine-server path: /src/deltapy/request_processor/multiprocess/__init__.py
'''
Created on Feb 2, 2010
@author: Abi.Mohammadi & Majid.Vesal
'''
from deltapy.packaging.package import Package
MULTI_PROCESS_REQUEST_PROCESSOR = 'deltapy.request_processor.multi_process'
class M... | code_fim | medium | {
"lang": "python",
"repo": "hamed1361554/sportmagazine-server",
"path": "/src/deltapy/request_processor/multiprocess/__init__.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # database query was voor 48 schutters
# voor kleinere klassen moeten we minder reservisten tonen
if deelnemer.rank <= 2*limiet:
sporter = deelnemer.sporterboog.sporter
ver = deelnemer.bij_vereniging
ver_str = str(ver)
... | code_fim | hard | {
"lang": "python",
"repo": "RamonvdW/nhb-apps",
"path": "/CompLaagRayon/view_indiv_rko.py",
"mode": "spm",
"license": "BSD-3-Clause-Clear",
"source": "the-stack-v2"
} |
<|fim_suffix|> wkl2limiet = dict() # [pk] = aantal
for limiet in (KampioenschapIndivKlasseLimiet
.objects
.select_related('indiv_klasse')
.filter(kampioenschap=deelkamp)):
wkl2limiet[limiet.indiv_klasse.pk] = limiet.limie... | code_fim | hard | {
"lang": "python",
"repo": "RamonvdW/nhb-apps",
"path": "/CompLaagRayon/view_indiv_rko.py",
"mode": "spm",
"license": "BSD-3-Clause-Clear",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RamonvdW/nhb-apps path: /CompLaagRayon/view_indiv_rko.py
# -*- coding: utf-8 -*-
# Copyright (c) 2019-2023 Ramon van der Winkel.
# All rights reserved.
# Licensed under BSD-3-Clause-Clear. See LICENSE file for details.
from django.urls import reverse
from django.http import HttpResponse, Htt... | code_fim | hard | {
"lang": "python",
"repo": "RamonvdW/nhb-apps",
"path": "/CompLaagRayon/view_indiv_rko.py",
"mode": "psm",
"license": "BSD-3-Clause-Clear",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AsphaltWindows/chessai path: /py_src/models/km_c.py
from ctypes import *
kmlib = CDLL("models/libkmodes.so")
create_kmodes = kmlib.create_kmodes
create_kmodes.restype = c_void_p
km_train_batch = kmlib.train_batch
km_train_batch.restype = None
assign_cluster = kmlib.assign_cluster
assign_clust... | code_fim | hard | {
"lang": "python",
"repo": "AsphaltWindows/chessai",
"path": "/py_src/models/km_c.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> @staticmethod
def model_from_vals(model_vals):
cat_num = model_vals[0]
cluster_num = model_vals[1]
categories = model_vals[2:2+cat_num]
model = KM_C([], cluster_num, categories)
free_kmodes(model.kmodes)
ValsArray = c_uint32 * len(model_vals)
... | code_fim | hard | {
"lang": "python",
"repo": "AsphaltWindows/chessai",
"path": "/py_src/models/km_c.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> free_kmodes(self.kmodes)
@staticmethod
def model_from_vals(model_vals):
cat_num = model_vals[0]
cluster_num = model_vals[1]
categories = model_vals[2:2+cat_num]
model = KM_C([], cluster_num, categories)
free_kmodes(model.kmodes)
ValsArray = ... | code_fim | hard | {
"lang": "python",
"repo": "AsphaltWindows/chessai",
"path": "/py_src/models/km_c.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kevin-meyers/tweet-generator path: /Code/lib/stretch_challenges/reverse.py
import sys
def reverse_word(word):
<|fim_suffix|>if __name__ == '__main__':
inputs = sys.argv[1:]
print(reverse_word(' '.join(inputs)))<|fim_middle|> return word[::-1]
| code_fim | easy | {
"lang": "python",
"repo": "kevin-meyers/tweet-generator",
"path": "/Code/lib/stretch_challenges/reverse.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
inputs = sys.argv[1:]
print(reverse_word(' '.join(inputs)))<|fim_prefix|># repo: kevin-meyers/tweet-generator path: /Code/lib/stretch_challenges/reverse.py
import sys
def reverse_word(word):
<|fim_middle|> return word[::-1]
| code_fim | easy | {
"lang": "python",
"repo": "kevin-meyers/tweet-generator",
"path": "/Code/lib/stretch_challenges/reverse.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == '__main__':
inputs = sys.argv[1:]
print(reverse_word(' '.join(inputs)))<|fim_prefix|># repo: kevin-meyers/tweet-generator path: /Code/lib/stretch_challenges/reverse.py
import sys
def reverse_word(word):
<|fim_middle|> return word[::-1]
| code_fim | easy | {
"lang": "python",
"repo": "kevin-meyers/tweet-generator",
"path": "/Code/lib/stretch_challenges/reverse.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Create a reference to the cities collection
cities_ref = db.collection(u'Products').stream()
for doc in cities_ref:
#print(f'{doc.id} => {doc.to_dict()}')
doc_dict = doc.to_dict()
prod_name = doc_dict.get('product_name')
prod_name_lc = prod_name.lower()
lower_case_name = doc_dict.g... | code_fim | medium | {
"lang": "python",
"repo": "felipezxkq/Pudu_helpers",
"path": "/add_lower_case_field.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: felipezxkq/Pudu_helpers path: /add_lower_case_field.py
import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore
import timeit
# Use a service account
cred = credentials.Certificate('service-account.json')
firebase_admin.initialize_app(cred)
<|fim_suffix|>... | code_fim | hard | {
"lang": "python",
"repo": "felipezxkq/Pudu_helpers",
"path": "/add_lower_case_field.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if lower_case_name is None:
db.collection(u'Products').document(doc.id).update({"product_name_lc" : prod_name_lc})
print("Updated "+prod_name+" to "+prod_name_lc)<|fim_prefix|># repo: felipezxkq/Pudu_helpers path: /add_lower_case_field.py
import firebase_admin
from firebase_admin impo... | code_fim | hard | {
"lang": "python",
"repo": "felipezxkq/Pudu_helpers",
"path": "/add_lower_case_field.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RIMEL-UCA/RIMEL-UCA.github.io path: /chapters/2023/Qualité logicielle dans les notebooks Jupyter/assets/python-scripts/0005_get_vol_surface.py
#!/usr/bin/env python
# coding: utf-8
# Examples require an initialized GsSession and relevant entitlements. External clients need to substitute thier ow... | code_fim | hard | {
"lang": "python",
"repo": "RIMEL-UCA/RIMEL-UCA.github.io",
"path": "/chapters/2023/Qualité logicielle dans les notebooks Jupyter/assets/python-scripts/0005_get_vol_surface.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
with open(f'SPX_{snap_time}_curve.csv', 'w') as f:
df.to_csv(f)
# Above process can be abstracted to a function
# In[6]:
def get_latest_vol_surface(dataset, bbid, strike_reference='delta', intraday=False):
# Get the date/time of the most recent snap
as_of = dt.datetime.now() if intraday e... | code_fim | hard | {
"lang": "python",
"repo": "RIMEL-UCA/RIMEL-UCA.github.io",
"path": "/chapters/2023/Qualité logicielle dans les notebooks Jupyter/assets/python-scripts/0005_get_vol_surface.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: andreabruera/novel_aficionados path: /scripts/count_model.py
### EXAMPLE: python3 -m scripts.count_model --input_type wiki_${window} --filedir /mnt/cimec-storage-sata/users/andrea.bruera/wikiextractor/wiki_for_bert/wiki_clean_for_count.txt --window_size ${window}
import logging
import numpy
impo... | code_fim | hard | {
"lang": "python",
"repo": "andreabruera/novel_aficionados",
"path": "/scripts/count_model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>training_parts = Corpus(args.filedir)
word_cooccurrences, current_output_folder = initialize_count_model(args)
if args.load_files:
logging.info('Loading the vocabulary from file')
vocabulary_file =open('{}/count_{}_vocabulary_trimmed.pickle'.format(current_output_folder, args.input_type), 'rb')... | code_fim | hard | {
"lang": "python",
"repo": "andreabruera/novel_aficionados",
"path": "/scripts/count_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: WangYihang/CrackMe path: /templates/keygen.py
#!/usr/bin/env python
# encoding:utf-8
import sys
def check_password(username, password):
<|fim_suffix|>def get_password(username):
password = ""
print password
def show_help():
print "Usage : \n\tpython %s [username]" % sys.... | code_fim | hard | {
"lang": "python",
"repo": "WangYihang/CrackMe",
"path": "/templates/keygen.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def show_help():
print "Usage : \n\tpython %s [username]" % sys.argv[0]
def main():
# if len(sys.argv) != 2:
# show_help()
# exit(1)
# get_password(sys.argv[1])
check_password("admin", "123456")
if __name__ == "__main__":
main()<|fim_prefix|># repo: Wan... | code_fim | medium | {
"lang": "python",
"repo": "WangYihang/CrackMe",
"path": "/templates/keygen.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LingChenBill/lc_pandas path: /ch01/7_columns_operation.py
#! /usr/bin/python3
# -*- coding:utf-8 -*-
# @Time: 2020/6/13
# @Author: Lingchen
# @Prescription: 创建、删除列
import pandas as pd
movie = pd.read_csv('../data/movie.csv')
movie['has_seen'] = 0
print(movie.columns)
<|fim_suffix|># 创建新列
movie[... | code_fim | hard | {
"lang": "python",
"repo": "LingChenBill/lc_pandas",
"path": "/ch01/7_columns_operation.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># 用insert()方法原地插入列
# 获取列索引
profit_index = movie.columns.get_loc('gross') + 1
print(profit_index)
movie.insert(loc=profit_index,
column='profit',
value=movie['gross'] - movie['budget'])
print(movie.head())
print(movie['profit'].head())
# print(movie)<|fim_prefix|># repo: LingChen... | code_fim | hard | {
"lang": "python",
"repo": "LingChenBill/lc_pandas",
"path": "/ch01/7_columns_operation.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Shivam-walia/spyproject2 path: /objective2.py
# objective Plot user instrests using matplotlib pie chart
<|fim_suffix|>
#opens the file caption.txt
file=open("caption.txt",'r')
text=file.read()
read=re.sub(r'... | code_fim | medium | {
"lang": "python",
"repo": "Shivam-walia/spyproject2",
"path": "/objective2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> fig1, ax1 = plt.subplots()
ax1.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',
shadow=True, startangle=90)
ax1.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle.
plt.show()<|fim_prefix|># repo: Shivam-walia/spyproject2 ... | code_fim | hard | {
"lang": "python",
"repo": "Shivam-walia/spyproject2",
"path": "/objective2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.RenameModel(
old_name='Expands',
new_name='Expenses',
),
]<|fim_prefix|># repo: majid-ir/test-majid path: /web/migrations/0002_auto_20181004_2223.py
# Generated by Django 2.1.1 on 2018-10-04 18:53
<|fim_middle|>from django.conf im... | code_fim | hard | {
"lang": "python",
"repo": "majid-ir/test-majid",
"path": "/web/migrations/0002_auto_20181004_2223.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: majid-ir/test-majid path: /web/migrations/0002_auto_20181004_2223.py
# Generated by Django 2.1.1 on 2018-10-04 18:53
from django.conf import settings
from django.db import migrations
class Migration(migrations.Migration):
<|fim_suffix|> operations = [
migrations.RenameModel(
... | code_fim | medium | {
"lang": "python",
"repo": "majid-ir/test-majid",
"path": "/web/migrations/0002_auto_20181004_2223.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.