text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: NaanProphet/imac-esp32-pwm-brightness path: /micropy/src/shell.py
import sys
import pwm
def shell():
sys.stdout.write(b"ESP32 UART brightness control loop...\n")
sys.stdout.write(b"Type 'repl' to return to micropython REPL.\n")
led_ctrl = pwm.iMacBrightnessPWM(2, 1000, 0)
imac_ct... | code_fim | medium | {
"lang": "python",
"repo": "NaanProphet/imac-esp32-pwm-brightness",
"path": "/micropy/src/shell.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Something(Hospital):
def __init__(self):
super(Something, self).__init__('something')
# pass
class Works(Something):
def __init__(self):
super(Works, self).__init__()
# pass
x = Works()
print x.capacity
# a = Patient('Bob', [])
# b = Patient('Cody', [])
#... | code_fim | hard | {
"lang": "python",
"repo": "hmp36/python_aug_2017",
"path": "/instruction/hospital.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hmp36/python_aug_2017 path: /instruction/hospital.py
import random
class Patient(object):
def __init__(self, name, allergies):
self.id = random.randint(1, 10000)
self.name = name
self.allergies = allergies
self.bed_number = None
<|fim_suffix|>
x = Works()
pri... | code_fim | hard | {
"lang": "python",
"repo": "hmp36/python_aug_2017",
"path": "/instruction/hospital.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> super(Something, self).__init__('something')
# pass
class Works(Something):
def __init__(self):
super(Works, self).__init__()
# pass
x = Works()
print x.capacity
# a = Patient('Bob', [])
# b = Patient('Cody', [])
# c = Hospital('Codys Hospital')
# c.admit(a)
# c.a... | code_fim | hard | {
"lang": "python",
"repo": "hmp36/python_aug_2017",
"path": "/instruction/hospital.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>n = 0 #starting number
while (True): #condition
print (n)
n = n + 1 #increment by one
if(n==10): #condition checking if value of n is equal to 10
break ... | code_fim | easy | {
"lang": "python",
"repo": "paratropper/starting",
"path": "/DAY1/handOn2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: paratropper/starting path: /DAY1/handOn2.py
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 3 21:11:27 2019
<|fim_suffix|>n = 0 #starting number
while (True): #condition
print (n)
n = n + 1 #increment b... | code_fim | easy | {
"lang": "python",
"repo": "paratropper/starting",
"path": "/DAY1/handOn2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Prithvi-Devaiah/playstation5bot path: /telegramAPI.py
import requests as requests
import random
import credentials
url = credentials.telegramURL
start_command = '/start'
end_command = '/stop'
reset_amazonURL_command = '/resetAmazonURL'
test_command = '/runTest'
add_new_refresher = '/addNewRefre... | code_fim | hard | {
"lang": "python",
"repo": "Prithvi-Devaiah/playstation5bot",
"path": "/telegramAPI.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return last_update(url)["update_id"]
'''
def main():
while True:
while get_message_text(last_update(url)) == start_command:
update_id = last_update(url)["update_id"]
update = last_update(url)
# end the script when the user types /stop
if ge... | code_fim | hard | {
"lang": "python",
"repo": "Prithvi-Devaiah/playstation5bot",
"path": "/telegramAPI.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_last_message_id():
return last_update(url)["update_id"]
'''
def main():
while True:
while get_message_text(last_update(url)) == start_command:
update_id = last_update(url)["update_id"]
update = last_update(url)
# end the script when the user ty... | code_fim | hard | {
"lang": "python",
"repo": "Prithvi-Devaiah/playstation5bot",
"path": "/telegramAPI.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class LogicalSwitchFacade(logical_switch.LogicalSwitch,
base_facade.BaseFacade):
DEFAULT_EXECUTION_TYPE = constants.ExecutionType.API
DEFAULT_IMPLEMENTATION_VERSION = "NSX70"
def __init__(self, parent=None, id_=None):
super(LogicalSwitchFacade, self).__init... | code_fim | hard | {
"lang": "python",
"repo": "Cloudxtreme/MyProject",
"path": "/SystemTesting/pylib/vmware/nsx/manager/logical_switch/logical_switch_facade.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Cloudxtreme/MyProject path: /SystemTesting/pylib/vmware/nsx/manager/logical_switch/logical_switch_facade.py
import vmware.common.base_facade as base_facade
import vmware.common.constants as constants
import vmware.interfaces.labels as labels
import vmware.common.global_config as global_config
imp... | code_fim | hard | {
"lang": "python",
"repo": "Cloudxtreme/MyProject",
"path": "/SystemTesting/pylib/vmware/nsx/manager/logical_switch/logical_switch_facade.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> req_time = time.time()
for cfg in self.config_service.config_map[config]:
start_time = req_time - cfg[0]
c = self.db.query(History) \
.filter(History.access_id == access_id) \
.filter(History.access_at >= start_time)
if ... | code_fim | hard | {
"lang": "python",
"repo": "cannavit/cap-em",
"path": "/app/service/limit_service.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cannavit/cap-em path: /app/service/limit_service.py
import time
from app.db.base import Session
from app.model.history import History
from .config_service import ConfigService
class LimitService:
<|fim_suffix|> req_time = time.time()
for cfg in self.config_service.config_map[co... | code_fim | hard | {
"lang": "python",
"repo": "cannavit/cap-em",
"path": "/app/service/limit_service.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
plot_pdp('YearMade')
plot_pdp('YearMade', clusters=5)
sorted(list(x.columns))
try:
feats = ['saleElapsed', 'YearMade']
p = pdp.pdp_interact(m, x, x.columns, feats)
pdp.pdp_interact_plot(p, feats)
except:
print("ignore errors")
plot_pdp(['Enclosure_EROPS w AC', 'Enclosure_EROPS', 'Encl... | code_fim | hard | {
"lang": "python",
"repo": "yao-eastside/fastai-intro-ml-2020",
"path": "/courses/ml1/lesson2-rf_interpretation.py",
"mode": "spm",
"license": "LicenseRef-scancode-unknown-license-reference",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yao-eastside/fastai-intro-ml-2020 path: /courses/ml1/lesson2-rf_interpretation.py
# **Important: This notebook will only work with fastai-0.7.x. Do not try to run any fastai-1.x code from this path in the repository because it will load fastai-0.7.x**
# # Random Forest Model interpretation
# %l... | code_fim | hard | {
"lang": "python",
"repo": "yao-eastside/fastai-intro-ml-2020",
"path": "/courses/ml1/lesson2-rf_interpretation.py",
"mode": "psm",
"license": "LicenseRef-scancode-unknown-license-reference",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: duszk/SimplePasswordGenerator path: /passgenerator.py
import random
chars = 'abcdefghijklnopqrsuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890'
num = int(input('enter number of passwords'))
lenght = int(input('enter lenght of passwords'))
<|fim_suffix|> for x in range(lenght):
pa... | code_fim | easy | {
"lang": "python",
"repo": "duszk/SimplePasswordGenerator",
"path": "/passgenerator.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> for x in range(lenght):
password += random.choice(chars)
print(password)<|fim_prefix|># repo: duszk/SimplePasswordGenerator path: /passgenerator.py
import random
chars = 'abcdefghijklnopqrsuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890'
<|fim_middle|>num = int(input('enter number of... | code_fim | medium | {
"lang": "python",
"repo": "duszk/SimplePasswordGenerator",
"path": "/passgenerator.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def getRect(self):
return self.rect<|fim_prefix|># repo: Cris2195/Game path: /game/StarShip.py
import pygame
class Starship(pygame.sprite.Sprite):
def __init__(self):
pygame.sprite.Sprite.__init__(self)
self.image = pygame.Surface([60,60])
self.rect = self.image... | code_fim | medium | {
"lang": "python",
"repo": "Cris2195/Game",
"path": "/game/StarShip.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Cris2195/Game path: /game/StarShip.py
import pygame
class Starship(pygame.sprite.Sprite):
def __init__(self):
pygame.sprite.Sprite.__init__(self)
self.image = pygame.Surface([60,60])
self.rect = self.image.get_rect()
self.rect.x = 100
self.rect.y = 2... | code_fim | easy | {
"lang": "python",
"repo": "Cris2195/Game",
"path": "/game/StarShip.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>ite_module_set[:100000], datas_per_page)
try:
editing_site_modules = paginator.page(page)
print('check 1')
except EmptyPage:
editing_site_modules = paginator.page(paginator.num_pages)
rediLevels = [x.redilevel_set.aggregate(Avg('level'))['level__avg'] for x in editing_s... | code_fim | hard | {
"lang": "python",
"repo": "james868198/rnaedit",
"path": "/web/functions/embed_sites.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: james868198/rnaedit path: /web/functions/embed_sites.py
from django.shortcuts import render
from ..models import Site
from django.core.paginator import Paginator, EmptyPage
from copy import deepcopy
from django.db.models import Avg
def embed_sites(request):
search_request_dict = deepcopy(re... | code_fim | hard | {
"lang": "python",
"repo": "james868198/rnaedit",
"path": "/web/functions/embed_sites.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>length=200)
index = models.CharField(max_length=200)
num_events = models.IntegerField()
filter = models.TextField(max_length = 1000)
alert = models.CharField(max_length = 100)
command = models.CharField(max_length = 400)
runstatus = models.CharField(max_length=100,default='stopped'... | code_fim | medium | {
"lang": "python",
"repo": "ngopi37/Elastic-Alert-Rule-engine",
"path": "/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ngopi37/Elastic-Alert-Rule-engine path: /models.py
from django.db import models
from datetime import datetime
# Create your models here.
class Rule(models.Model):
id = models.IntegerField(auto_created=True, primary_key=True)<|fim_suffix|>length=200)
index = models.CharField(max_length=20... | code_fim | medium | {
"lang": "python",
"repo": "ngopi37/Elastic-Alert-Rule-engine",
"path": "/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jimozonguo/Project_10 path: /scripts/test_setting.py
import allure
import pytest
class TestSetting:
@allure.severity("blocker")
@allure.step(title="用于测试“XXX”功能的测试脚本")
def test_login1(self):
<|fim_suffix|> print("");
assert 1
#默认就是"normal"级别，即相当于：@allure.severity(... | code_fim | hard | {
"lang": "python",
"repo": "jimozonguo/Project_10",
"path": "/scripts/test_setting.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> @allure.severity("trivial")
@allure.step(title="用于测试“XXXX”功能的测试脚本")
def test_login6(self):
print("");
assert 1<|fim_prefix|># repo: jimozonguo/Project_10 path: /scripts/test_setting.py
import allure
import pytest
class TestSetting:
@allure.severity("blocker")
@allure... | code_fim | hard | {
"lang": "python",
"repo": "jimozonguo/Project_10",
"path": "/scripts/test_setting.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> Pkg.Registry.update()
Pkg.add("PandaModels")
Pkg.build()
Pkg.resolve()
logger.info("PandaModels is added to julia packages")
try:
Main.using("PandaModels")
logger.info("using PandaModels in its base mode!")
except ImportError:
raise ImportError("cannot ... | code_fim | hard | {
"lang": "python",
"repo": "e2nIEE/pandapower",
"path": "/pandapower/test/opf/test_pandamodels_installation.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: e2nIEE/pandapower path: /pandapower/test/opf/test_pandamodels_installation.py
# Copyright (c) 2016-2023 by University of Kassel and Fraunhofer Institute for Energy Economics
# and Energy System Technology (IEE), Kassel. All rights reserved.
import pytest
try:
from julia.core import Unsuppor... | code_fim | hard | {
"lang": "python",
"repo": "e2nIEE/pandapower",
"path": "/pandapower/test/opf/test_pandamodels_installation.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if Base.find_package("PandaModels"):
# remove PandaModels to reinstall it
Pkg.rm("PandaModels")
Pkg.resolve()
Pkg.Registry.update()
Pkg.add("PandaModels")
logger.info("installing dev mode is a slow process!")
Pkg.resolve()
Pkg.develop("PandaModels")
# a... | code_fim | hard | {
"lang": "python",
"repo": "e2nIEE/pandapower",
"path": "/pandapower/test/opf/test_pandamodels_installation.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Aasthaengg/IBMdataset path: /Python_codes/p02901/s824325461.py
N, M = map(int, input().split())
inf = int(1e10)
dp = [inf] * (1 << N) #1をNだけシフトする 2**B
<|fim_suffix|>if dp[(1 << N) - 1] == inf:
print(-1)
else:
print(dp[(1 << N) - 1])<|fim_middle|>#鍵をビットで表す dp[i]は鍵の状態iにできる最小費用を
dp[0] = 0
b... | code_fim | hard | {
"lang": "python",
"repo": "Aasthaengg/IBMdataset",
"path": "/Python_codes/p02901/s824325461.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if dp[(1 << N) - 1] == inf:
print(-1)
else:
print(dp[(1 << N) - 1])<|fim_prefix|># repo: Aasthaengg/IBMdataset path: /Python_codes/p02901/s824325461.py
N, M = map(int, input().split())
inf = int(1e10)
dp = [inf] * (1 << N) #1をNだけシフトする 2**B
<|fim_middle|>#鍵をビットで表す dp[i]は鍵の状態iにできる最小費用を
dp[0] = 0
b... | code_fim | hard | {
"lang": "python",
"repo": "Aasthaengg/IBMdataset",
"path": "/Python_codes/p02901/s824325461.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> ids_and_exon_lengths = import_genes(gene_annotation)
counts = import_count_matrix(count_matrix, selection)
merged_data = pd.merge(ids_and_exon_lengths, counts, on="GSVIV")
merged_data.drop(columns=["Chromosome", "PAC_ID"], inplace=True)
merged_data.set_index("GSVIV", inplace=True)
... | code_fim | medium | {
"lang": "python",
"repo": "EdgerLab/Grape_RNA_Seq_Expression_Analysis",
"path": "/Scripts/FPKM/process.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> parser.add_argument(
"--output_dir",
"-o",
type=str,
default=os.path.join(path_main, "../../../../", "Grape_Data/Results"),
help="parent directory to output results",
)
args = parser.parse_args()
args.genes_input_file = os.path.abspath(args.genes_in... | code_fim | hard | {
"lang": "python",
"repo": "EdgerLab/Grape_RNA_Seq_Expression_Analysis",
"path": "/Scripts/FPKM/process.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: EdgerLab/Grape_RNA_Seq_Expression_Analysis path: /Scripts/FPKM/process.py
#!/usr/bin/env python3
"""
Calculate gene lengths for each gene from an annotation
"""
__author__ = "Scott Teresi"
import argparse
import os
import numpy as np
import pandas as pd
import sys
from gene_lengths import i... | code_fim | hard | {
"lang": "python",
"repo": "EdgerLab/Grape_RNA_Seq_Expression_Analysis",
"path": "/Scripts/FPKM/process.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HoracceFeng/Grid_World_demo path: /env.py
# -*- coding: utf-8 -*-
# @Author: iori
# @Date: 2016-11-17 13:56:19
# @Last Modified by: lei gao
# @Last Modified time: 2017-11-01 14:12:27
from __future__ import division
import heapq
import numpy as np
import copy
from collections import defaultdi... | code_fim | hard | {
"lang": "python",
"repo": "HoracceFeng/Grid_World_demo",
"path": "/env.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return np.stack([car_state, job_state, barrier_state],axis=-1)
def take_action(self,policy):
if policy == 0 and self.car[0] < self.config.screen_height-1:
self.car[0] += 1
elif policy == 1 and self.car[0] > 0:
self.car[0] -= 1
elif policy == 2 and self.car[1] < self.config.screen_width-1:
... | code_fim | hard | {
"lang": "python",
"repo": "HoracceFeng/Grid_World_demo",
"path": "/env.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.ordering += 1
# get actions
self.take_action(policy)
reward, count = 0, 0
# get reward if possible
if self.grid[self.car[0], self.car[1]]:
reward += self.grid[self.car[0], self.car[1]]
self.grid[self.car[0], self.car[1]] = 0.0
count += 1
if self.barrier[self.car[0],self.car[1... | code_fim | hard | {
"lang": "python",
"repo": "HoracceFeng/Grid_World_demo",
"path": "/env.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: homey1337/efnpractice path: /model.py
import datetime
import pytz
import web
import config
db = web.database(dbn='sqlite', db='dp.sqlite')
# =================================================================
# datetime
def current_time():
return datetime.datetime.now(pytz.utc)
def loca... | code_fim | hard | {
"lang": "python",
"repo": "homey1337/efnpractice",
"path": "/model.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_tx_for_appointment(appointmentid):
Q = web.db.SQLQuery
P = web.db.SQLParam
return db.select('tx',
where=Q(['appointmentid=',
P(appointmentid),
' or appointmentid is null']),
order='app... | code_fim | hard | {
"lang": "python",
"repo": "homey1337/efnpractice",
"path": "/model.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: uccs-tdoan/django path: /webapp/admin.py
from django.contrib import admin
from webapp.models import riderride
from webapp.mode<|fim_suffix|>ort Document
# Register your models here.
admin.site.register(ridermaster)
admin.site.register(riderride)
admin.site.register(Document)
admin.site.register(l... | code_fim | medium | {
"lang": "python",
"repo": "uccs-tdoan/django",
"path": "/webapp/admin.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>register(riderride)
admin.site.register(Document)
admin.site.register(limitwattsrider)<|fim_prefix|># repo: uccs-tdoan/django path: /webapp/admin.py
from django.contrib import admin
from webapp.models import riderride
from webapp.models import ridermaster
from webapp.models import limitwattsrider
from we... | code_fim | medium | {
"lang": "python",
"repo": "uccs-tdoan/django",
"path": "/webapp/admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>ort Document
# Register your models here.
admin.site.register(ridermaster)
admin.site.register(riderride)
admin.site.register(Document)
admin.site.register(limitwattsrider)<|fim_prefix|># repo: uccs-tdoan/django path: /webapp/admin.py
from django.contrib import admin
from webapp.models import riderride
f... | code_fim | medium | {
"lang": "python",
"repo": "uccs-tdoan/django",
"path": "/webapp/admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eliandreae/Sizing-hybrid-power-plants-under-round-the-clock-tender-compliance-in-India path: /plots_Stochastic.py
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
# Revenue and cost distribution
data11 = pd.read_csv('Results_HPC/Results_Stochastic_yearly_HPC.csv')
data22 = p... | code_fim | hard | {
"lang": "python",
"repo": "eliandreae/Sizing-hybrid-power-plants-under-round-the-clock-tender-compliance-in-India",
"path": "/plots_Stochastic.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>x = ['Deterministic', 'Scenario 1', 'Scenario 2']
y1 = np.array([sum(data2['solar']), sum(data1_1['solar']), sum(data1_2['solar'])])
y2 = np.array([sum(data2['wind']), sum(data1_1['wind']), sum(data1_2['wind'])])
y3 = np.array([sum(data2['coal']), sum(data1_1['coal']), sum(data1_2['coal'])])
y4 = np.array... | code_fim | hard | {
"lang": "python",
"repo": "eliandreae/Sizing-hybrid-power-plants-under-round-the-clock-tender-compliance-in-India",
"path": "/plots_Stochastic.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>x = ['Deterministic', 'Scenario 1', 'Scenario 2']
y3 = np.array([sum(c1), sum(c2), sum(c3)])
y4 = np.array([sum(o1), sum(o2), sum(o3)])
y5 = np.array([sum(f1), sum(f2), sum(f3)])
y6 = np.array([sum(k1), sum(k2), sum(k3)])
# plot bars in stack manner
plt.bar(x, y3, color='midnightblue')
plt.bar(x, y4, bot... | code_fim | hard | {
"lang": "python",
"repo": "eliandreae/Sizing-hybrid-power-plants-under-round-the-clock-tender-compliance-in-India",
"path": "/plots_Stochastic.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nathaniel2020/ML path: /KNN/KNN(write-identify).py
from numpy import *
from os import listdir
import operator
#将32x32的二进制图像矩阵转换为1x1024的向量
def imgVector(filename):
returnVect = zeros((1, 1024))
f = open(filename)
for i in range(32):
listStr = f.readline()
for... | code_fim | medium | {
"lang": "python",
"repo": "nathaniel2020/ML",
"path": "/KNN/KNN(write-identify).py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> hwlabels = []
#返回指定路径下的文件和文件夹列表。
trainingFileList = listdir('trainingDigits')
m = len(trainingFileList)
trainingMat = zeros((m,1024))
#将trainingDigits中的二进制图像转换为1x1024的向量，并根据文件名将对应的数字保存到hwlabels中
for i in range(m):
fileNameStr = trainingFileList[i]
fileSt... | code_fim | medium | {
"lang": "python",
"repo": "nathaniel2020/ML",
"path": "/KNN/KNN(write-identify).py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> tema = models.CharField(max_length=255)
descripcion = models.CharField(max_length=255)
#estudiante = models.ForeignKey(Estudiantes)
fecha_inicio = models.DateField()
fecha_fin = models.DateField()
class TipoPregunta(models.Model):
nombre = models.CharField(max_length=255)
desc... | code_fim | hard | {
"lang": "python",
"repo": "lenincamp/SMSE",
"path": "/principal/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lenincamp/SMSE path: /principal/models.py
from django.db import models
#from django.contrib.auth.models import User
class Persona(models.Model):
nombres = models.CharField(max_length=255)
apellidos = models.CharField(max_length=255)
cedula = models.CharField(max_length=255)
... | code_fim | hard | {
"lang": "python",
"repo": "lenincamp/SMSE",
"path": "/principal/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> progenitores = models.ForeignKey(Progenitores)
estudiantes = models.ForeignKey(Estudiantes)
sexo = models.CharField(max_length=1)
es_representante=models.BooleanField(default=False)
es_huerfano=models.BooleanField(default=False)
vive_estudiante = models.BooleanField(default=False)
... | code_fim | hard | {
"lang": "python",
"repo": "lenincamp/SMSE",
"path": "/principal/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>L = [6,7,839,2,0,9,3,87,65,62,3,14,43,27,8]
print(*L)
print(*selection_sort(L))<|fim_prefix|># repo: gedfalk/sources_and_stuff path: /Algo/4_Grokking/2_selection_sort.py
# Сортировка выбором. Сложность О(n^2)
def find_smallest(arr):
sm = arr[0]
ind = 0
for i in range(1, len(arr)):
i... | code_fim | medium | {
"lang": "python",
"repo": "gedfalk/sources_and_stuff",
"path": "/Algo/4_Grokking/2_selection_sort.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gedfalk/sources_and_stuff path: /Algo/4_Grokking/2_selection_sort.py
# Сортировка выбором. Сложность О(n^2)
def find_smallest(arr):
<|fim_suffix|> L = []
for i in range(len(arr)):
si = find_smallest(arr)
L.append(arr[si])
arr.pop(si)
return L
L = [6,7,839,2,0,... | code_fim | medium | {
"lang": "python",
"repo": "gedfalk/sources_and_stuff",
"path": "/Algo/4_Grokking/2_selection_sort.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def selection_sort(arr):
L = []
for i in range(len(arr)):
si = find_smallest(arr)
L.append(arr[si])
arr.pop(si)
return L
L = [6,7,839,2,0,9,3,87,65,62,3,14,43,27,8]
print(*L)
print(*selection_sort(L))<|fim_prefix|># repo: gedfalk/sources_and_stuff path: /Algo/4_Grokk... | code_fim | medium | {
"lang": "python",
"repo": "gedfalk/sources_and_stuff",
"path": "/Algo/4_Grokking/2_selection_sort.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FredrikMeyer/numpoly path: /numpoly/array_function/common_type.py
"""Return a scalar type which is common to the input arrays."""
import numpy
import numpoly
from .common import implements
@implements(numpy.common_type)
def common_type(*arrays):
<|fim_suffix|> The return type will always be... | code_fim | medium | {
"lang": "python",
"repo": "FredrikMeyer/numpoly",
"path": "/numpoly/array_function/common_type.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
arrays = [numpoly.aspolynomial(array) for array in arrays]
arrays = [array[array.keys[0]] for array in arrays]
return numpy.common_type(*arrays)<|fim_prefix|># repo: FredrikMeyer/numpoly path: /numpoly/array_function/common_type.py
"""Return a scalar type which is common to the input ... | code_fim | hard | {
"lang": "python",
"repo": "FredrikMeyer/numpoly",
"path": "/numpoly/array_function/common_type.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>ct_lin_rec(3))
print(fact_lin_rec(4))
print(fact_lin_rec(5))<|fim_prefix|># repo: mickeymannella/cse2050f19exam2prac path: /r1.factorial/factlinrec.py
def fact_lin_rec(n):
if n == 0:
return 1
else:
return n * fact_lin_rec(n-1)
print(fact_lin_rec<|fim_middle|>(0))
print(fact_lin_r... | code_fim | easy | {
"lang": "python",
"repo": "mickeymannella/cse2050f19exam2prac",
"path": "/r1.factorial/factlinrec.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mickeymannella/cse2050f19exam2prac path: /r1.factorial/factlinrec.py
def fact_lin_rec(n):
if n == 0:
return 1
el<|fim_suffix|>(0))
print(fact_lin_rec(1))
print(fact_lin_rec(2))
print(fact_lin_rec(3))
print(fact_lin_rec(4))
print(fact_lin_rec(5))<|fim_middle|>se:
return n *... | code_fim | medium | {
"lang": "python",
"repo": "mickeymannella/cse2050f19exam2prac",
"path": "/r1.factorial/factlinrec.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>test_start_time = time.time()
allresultsLM = pt.pipelines.Experiment([BaseLTR_LM],
dataset.get_topics("test"),
dataset.get_qrels("test"), ["recip_rank", "ndcg_cut_10","map"],
names=["LambdaMART"])
test_end_time... | code_fim | hard | {
"lang": "python",
"repo": "YaoM1886/Information_Retrieval_Project",
"path": "/IR_project/LambdaMART.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: YaoM1886/Information_Retrieval_Project path: /IR_project/LambdaMART.py
import numpy as np
import pandas as pd
import pyterrier as pt
import xgboost as xgb
import time
if not pt.started():
pt.init(mem=20000)
dataset = pt.get_dataset("trec-deep-learning-docs")
def msmarco_generate():
with pt.... | code_fim | hard | {
"lang": "python",
"repo": "YaoM1886/Information_Retrieval_Project",
"path": "/IR_project/LambdaMART.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Inject cart in context"""
return {'cart': get_cart_from_request(request)}<|fim_prefix|># repo: rpip/sendhut-essentials path: /sendhut/cart/context_processors.py
"""Cart-related context processors."""
from .utils import get_cart_from_request
<|fim_middle|>
def cart(request):
| code_fim | easy | {
"lang": "python",
"repo": "rpip/sendhut-essentials",
"path": "/sendhut/cart/context_processors.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rpip/sendhut-essentials path: /sendhut/cart/context_processors.py
"""Cart-related context processors."""
from .utils import get_cart_from_request
<|fim_suffix|> """Inject cart in context"""
return {'cart': get_cart_from_request(request)}<|fim_middle|>def cart(request):
| code_fim | easy | {
"lang": "python",
"repo": "rpip/sendhut-essentials",
"path": "/sendhut/cart/context_processors.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@pytest.mark.parametrize(
"manifest_type", ["recording_set", "supervision_set", "cut_set", "feature_set"]
)
def test_in_memory_writer(manifests, manifest_type):
manifest = manifests[manifest_type]
with manifest.open_writer(None) as writer:
for item in manifest:
writer.writ... | code_fim | hard | {
"lang": "python",
"repo": "lhotse-speech/lhotse",
"path": "/test/test_serialization.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> with NamedTemporaryFile(suffix=".gz" if compressed else "") as f:
if format == "yaml":
supervision_set.to_yaml(f.name)
restored = supervision_set.from_yaml(f.name)
if format == "json":
supervision_set.to_json(f.name)
restored = supervisio... | code_fim | hard | {
"lang": "python",
"repo": "lhotse-speech/lhotse",
"path": "/test/test_serialization.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lhotse-speech/lhotse path: /test/test_serialization.py
CutSet,
Features,
FeatureSet,
MonoCut,
MultiCut,
Recording,
RecordingSet,
SupervisionSegment,
SupervisionSet,
load_manifest,
store_manifest,
)
from lhotse.lazy import LazyJsonlIterator
from lhotse.... | code_fim | hard | {
"lang": "python",
"repo": "lhotse-speech/lhotse",
"path": "/test/test_serialization.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aji-pratama/djfastapi path: /api/admin.py
from django.contrib import admin
from api.models import Tag, Category, Post
@admin.register(Tag)
class TagAdmin(admin.ModelAdmin):
list_display = ['name']
<|fim_suffix|>
@admin.register(Post)
class PostAdmin(admin.ModelAdmin):
list_display = [... | code_fim | medium | {
"lang": "python",
"repo": "aji-pratama/djfastapi",
"path": "/api/admin.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> list_display = ['name']
@admin.register(Post)
class PostAdmin(admin.ModelAdmin):
list_display = ['id', 'title']
list_display_links = ['title']<|fim_prefix|># repo: aji-pratama/djfastapi path: /api/admin.py
from django.contrib import admin
from api.models import Tag, Category, Post
@admin... | code_fim | medium | {
"lang": "python",
"repo": "aji-pratama/djfastapi",
"path": "/api/admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> list_display = ['name']
@admin.register(Category)
class CategoryAdmin(admin.ModelAdmin):
list_display = ['name']
@admin.register(Post)
class PostAdmin(admin.ModelAdmin):
list_display = ['id', 'title']
list_display_links = ['title']<|fim_prefix|># repo: aji-pratama/djfastapi path: /api... | code_fim | easy | {
"lang": "python",
"repo": "aji-pratama/djfastapi",
"path": "/api/admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def evidence(dots):
return (scipy.stats.multivariate_normal.logpdf(
dots, mean=np.r_[targets[0], 0], cov=cov) -
scipy.stats.multivariate_normal.logpdf(
dots, mean=np.r_[targets[1], 0], cov=cov))
#%%
fig, ax = plt.subplots(figsize=(4, 3));
dots = n... | code_fim | medium | {
"lang": "python",
"repo": "sbitzer/BeeMEG",
"path": "/make_model_figures.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sbitzer/BeeMEG path: /make_model_figures.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 30 15:11:25 2018
@author: bitzer
"""
import helpers
import numpy as np
import matplotlib.pyplot as plt
import os
import scipy.stats
<|fim_suffix|>#%%
fig, ax = plt.subplots(figsi... | code_fim | hard | {
"lang": "python",
"repo": "sbitzer/BeeMEG",
"path": "/make_model_figures.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>idxs = wbplt.find_subpaths(x, dx, dims)
idx = idxs[i]
wbplt.pathplot_position(fig, ax, x[idx[0]:idx[1],:], dims=dims, sgns=sgns, color='b')
wbplt.pathplot_arrows(fig, ax, x[idx[0]:idx[1],:], dx[idx[0]:idx[1],:], dims=dims, sgns=sgns, color='b')
wbplt.show() # aspect is likely skewed when re... | code_fim | hard | {
"lang": "python",
"repo": "PositronicsLab/wild-robot",
"path": "/scripts/ex_plot_hilight_subpath.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PositronicsLab/wild-robot path: /scripts/ex_plot_hilight_subpath.py
"""
James Taylor
This example demonstrates plotting path data from raw vicon data with additional
highlighting of a particular subpath
argument 1 is the path to the vicon data that is to be plotted
<|fim_suffix|>dims=(1,2)
sgns... | code_fim | hard | {
"lang": "python",
"repo": "PositronicsLab/wild-robot",
"path": "/scripts/ex_plot_hilight_subpath.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: paomianshaokao/Openeyes path: /authen/views/logout.py
from django.shortcuts import redirect
from django.views import View
class logout(View):
<|fim_suffix|> request.session.clear()
return redirect('/authen/login/')<|fim_middle|> def get(self, request):
| code_fim | easy | {
"lang": "python",
"repo": "paomianshaokao/Openeyes",
"path": "/authen/views/logout.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get(self, request):
request.session.clear()
return redirect('/authen/login/')<|fim_prefix|># repo: paomianshaokao/Openeyes path: /authen/views/logout.py
from django.shortcuts import redirect
from django.views import View
<|fim_middle|>class logout(View):
| code_fim | easy | {
"lang": "python",
"repo": "paomianshaokao/Openeyes",
"path": "/authen/views/logout.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wmahad/Picha path: /api/migrations/0003_auto_20160218_1114.py
# -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-02-18 11:14
from __future__ import unicode_literals
from django.db import migrations, models
<|fim_suffix|>
dependencies = [
('api', '0002_effectsmodel'),
]
... | code_fim | easy | {
"lang": "python",
"repo": "wmahad/Picha",
"path": "/api/migrations/0003_auto_20160218_1114.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='effectsmodel',
name='effect',
field=models.FileField(upload_to=b'effects/%Y/%m/%d'),
),
]<|fim_prefix|># repo: wmahad/Picha path: /api/migrations/0003_auto_20160218_1114.py
# -*- coding: utf-8 -*... | code_fim | medium | {
"lang": "python",
"repo": "wmahad/Picha",
"path": "/api/migrations/0003_auto_20160218_1114.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if c1 >= K:
print(1)
else:
print(ans)<|fim_prefix|># repo: wattaihei/ProgrammingContest path: /AtCoder/ABC-C/106probC.py
S = input()
K = int(input())
<|fim_middle|>c1 = 0
ans = S[0]
for i, s in enumerate(S):
if s != '1':
ans = s
break
c1 = i+1
| code_fim | medium | {
"lang": "python",
"repo": "wattaihei/ProgrammingContest",
"path": "/AtCoder/ABC-C/106probC.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wattaihei/ProgrammingContest path: /AtCoder/ABC-C/106probC.py
S = input()
K = int(input())
<|fim_suffix|>if c1 >= K:
print(1)
else:
print(ans)<|fim_middle|>c1 = 0
ans = S[0]
for i, s in enumerate(S):
if s != '1':
ans = s
break
c1 = i+1
| code_fim | medium | {
"lang": "python",
"repo": "wattaihei/ProgrammingContest",
"path": "/AtCoder/ABC-C/106probC.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if average_temp[num] < average_coldest:
average_coldest = average_temp[num]
print('The hottest average was',average_hottest)
print('The coldest average was',average_coldest)<|fim_prefix|># repo: brookstawil/LearningPython path: /Notes/8-6-14 ex1.py
#8/6/14
#read in pairs of data(Jil... | code_fim | hard | {
"lang": "python",
"repo": "brookstawil/LearningPython",
"path": "/Notes/8-6-14 ex1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>for num in range(1,366):
if count_slips[num] > 0:
average_temp[num] = tot_temp[num]/count_slips[num]
print('The average for day',num,'was',average_temp[num],'for',count_slips[num],'slips of paper')
if average_temp[num] > average_hottest:
average_hottest = average_t... | code_fim | medium | {
"lang": "python",
"repo": "brookstawil/LearningPython",
"path": "/Notes/8-6-14 ex1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: brookstawil/LearningPython path: /Notes/8-6-14 ex1.py
#8/6/14
#read in pairs of data(Jilian date. temperature), check it for validity
#keep reading in until user says stop
total = 0.0
counter = 0
tot_temp = [0] * 366
count_slips = [0] * 366
user_date = input('Type in a Julian date or STOP ')
... | code_fim | hard | {
"lang": "python",
"repo": "brookstawil/LearningPython",
"path": "/Notes/8-6-14 ex1.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# if data[i][5] == 'Cat' and data[i][0] == 'Named':
# numNamedCats += 1
# if data[i][5] == 'Cat' and data[i][0] == 'NoName':
# numUnNamedCats += 1
#percentageNamedDogsAdopted = namedDogsAdopted/numNamedDogs*100
#percentageNamedDogsDied = namedDogsDied/numNamedDogs*100
#percentageNa... | code_fim | hard | {
"lang": "python",
"repo": "CZAlmon/School-Programs",
"path": "/Python/Data Mining Project for Kaggle.com/ShelterPreProcess.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CZAlmon/School-Programs path: /Python/Data Mining Project for Kaggle.com/ShelterPreProcess.py
CatsEuthanized = 0
#for i in range(len(dataVectors)):
# if data[i][5] == 'Dog' and data[i][3] == 'Adoption' and data[i][9] == 'SolidColor':
# SolidColorDogsAdopted += 1
# if data[i][5] ==... | code_fim | hard | {
"lang": "python",
"repo": "CZAlmon/School-Programs",
"path": "/Python/Data Mining Project for Kaggle.com/ShelterPreProcess.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CZAlmon/School-Programs path: /Python/Data Mining Project for Kaggle.com/ShelterPreProcess.py
oungDogsTransfered = youngDogsTransfered/numYoungDogs*100
#percentageYoungDogsReturnToOwners = youngDogsReturnedToOwners/numYoungDogs*100
#percentageYoungDogsEuthanized = youngDogsEuthanized/numYoungDogs... | code_fim | hard | {
"lang": "python",
"repo": "CZAlmon/School-Programs",
"path": "/Python/Data Mining Project for Kaggle.com/ShelterPreProcess.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JanithDeSilva/hacktoberfest_2021 path: /main/diffie_helman.py
from random import randint
if _name_ == '_main_':
# prime number
P_Num = 23
G = 9
print('Prime number :%d' % (P_Num))
print('Primitive Root :%d' % (G))
# private key a
pubA = 4
print('The Private Key... | code_fim | medium | {
"lang": "python",
"repo": "JanithDeSilva/hacktoberfest_2021",
"path": "/main/diffie_helman.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> y = int(pow(G, pubB, P_Num))
# Secret key A
keyA = int(pow(y, pubA, P_Num))
# Secret key B
keyB = int(pow(x, pubB, P_Num))
print('Secret key for A: %d' % (keyA))
print('Secret Key for B: %d' % (keyB))<|fim_prefix|># repo: JanithDeSilva/hacktoberfest_2021 path: /main/diffie_... | code_fim | hard | {
"lang": "python",
"repo": "JanithDeSilva/hacktoberfest_2021",
"path": "/main/diffie_helman.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_example_i(self):
self.assertEqual(part1(EXAMPLE, "i"), 65079)
def test_example_x(self):
self.assertEqual(part1(EXAMPLE, "x"), 123)
def test_example_y(self):
self.assertEqual(part1(EXAMPLE, "y"), 456)
class TestPart2(TestCase):
def test_input(self):
... | code_fim | hard | {
"lang": "python",
"repo": "N8Brooks/aoc_py",
"path": "/tests/year2015/test_day07.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertEqual(part1(EXAMPLE, "f"), 492)
def test_example_g(self):
self.assertEqual(part1(EXAMPLE, "g"), 114)
def test_example_h(self):
self.assertEqual(part1(EXAMPLE, "h"), 65412)
def test_example_i(self):
self.assertEqual(part1(EXAMPLE, "i"), 65079)
... | code_fim | medium | {
"lang": "python",
"repo": "N8Brooks/aoc_py",
"path": "/tests/year2015/test_day07.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: N8Brooks/aoc_py path: /tests/year2015/test_day07.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
https://adventofcode.com/2015/day/7
"""
from unittest import TestCase, main
from aoc.year2015.day07 import part1, part2
from data.utils import get_input
EXAMPLE = """123 -> x
456 -> y
x AND... | code_fim | hard | {
"lang": "python",
"repo": "N8Brooks/aoc_py",
"path": "/tests/year2015/test_day07.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
arr1 = [2,3,1,3,2,4,6,7,9,2,19]
arr2 = [2,1,4,3,9,6]
ret = Solution().relativeSortArray(arr1, arr2)
print(ret)<|fim_prefix|># repo: freesan44/LeetCode path: /LeetCode_1122.py
class Solution:
def relativeSortArray(self, arr1: List[int], arr2: List[int]) -> Li... | code_fim | hard | {
"lang": "python",
"repo": "freesan44/LeetCode",
"path": "/LeetCode_1122.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: freesan44/LeetCode path: /LeetCode_1122.py
class Solution:
def relativeSortArray(self, arr1: List[int], arr2: List[int]) -> List[int]:
<|fim_suffix|>if __name__ == '__main__':
arr1 = [2,3,1,3,2,4,6,7,9,2,19]
arr2 = [2,1,4,3,9,6]
ret = Solution().relativeSortArray(arr1, arr2)
p... | code_fim | hard | {
"lang": "python",
"repo": "freesan44/LeetCode",
"path": "/LeetCode_1122.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LarmIg/Algoritmos-Python path: /CAPITULO 5/Exercicio C.py
# Construir um programa que apresente a soma dos cem primeir<|fim_suffix|> = 0
while Cont <= 100:
Soma = Soma + Cont
Cont = Cont + 1
print('Resultado da soma dos numero é {}'.format(Soma))<|fim_middle|>os números naturais (1+2+3+ .... | code_fim | medium | {
"lang": "python",
"repo": "LarmIg/Algoritmos-Python",
"path": "/CAPITULO 5/Exercicio C.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> + 1
print('Resultado da soma dos numero é {}'.format(Soma))<|fim_prefix|># repo: LarmIg/Algoritmos-Python path: /CAPITULO 5/Exercicio C.py
# Construir um programa que apresente a soma dos cem primeir<|fim_middle|>os números naturais (1+2+3+ ... +98+99+100).
Cont = 1
Soma = 0
while Cont <= 100:
S... | code_fim | medium | {
"lang": "python",
"repo": "LarmIg/Algoritmos-Python",
"path": "/CAPITULO 5/Exercicio C.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bajpaiNikhil/codeForces path: /CF-B. Queue at the School.py
n,m=map(int,input().split())
s=input()[:n]
s=list(s)
#print(s)
d=""
while m>0:
for j in range(len(s)-1):
if (s[j]=='B' and s[<|fim_suffix|> j+=1
m-=1
print(s)
for i in range(len(s)):
d+=s[i]
print(d)<|fim_middle... | code_fim | medium | {
"lang": "python",
"repo": "bajpaiNikhil/codeForces",
"path": "/CF-B. Queue at the School.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>j+1]=='G'):
s[j],s[j+1]=s[j+1],s[j]
j+=1
j+=1
m-=1
print(s)
for i in range(len(s)):
d+=s[i]
print(d)<|fim_prefix|># repo: bajpaiNikhil/codeForces path: /CF-B. Queue at the School.py
n,m=map(int,input().split())
s=input()[:n]
s=list(s)
#print(s)
d=""<|fim_middle... | code_fim | medium | {
"lang": "python",
"repo": "bajpaiNikhil/codeForces",
"path": "/CF-B. Queue at the School.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> j+=1
m-=1
print(s)
for i in range(len(s)):
d+=s[i]
print(d)<|fim_prefix|># repo: bajpaiNikhil/codeForces path: /CF-B. Queue at the School.py
n,m=map(int,input().split())
s=input()[:n]
s=list(s)
#print(s)
d=""<|fim_middle|>
while m>0:
for j in range(len(s)-1):
if (s[j]=='B' and ... | code_fim | medium | {
"lang": "python",
"repo": "bajpaiNikhil/codeForces",
"path": "/CF-B. Queue at the School.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if (abs(self.x_pacman - self.x_entity1) < 1.5 * self.character_size or abs(
self.x_pacman - self.x_entity2) < 1.5 * self.character_size):
return True
else:
return False
#resets the environment for a new episode
def reset_env(self):
... | code_fim | hard | {
"lang": "python",
"repo": "a1noack/eeg_data_collection_scripts",
"path": "/environment/environment.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> #recenters pacman on screen
def reposition_pacman(self):
self.x_pacman = int((self.width / 2) - (self.character_size / 2))
def set_speed_direction(self):
# reset pacman
self.pacman_image = pygame.transform.scale(pygame.image.load(self.cur_dir+'/environment/images/pacma... | code_fim | hard | {
"lang": "python",
"repo": "a1noack/eeg_data_collection_scripts",
"path": "/environment/environment.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: a1noack/eeg_data_collection_scripts path: /environment/environment.py
nt/images/pacman.png'), (self.character_size, self.character_size))
if (self.move_left):
self.pacman_image = pygame.transform.flip(self.pacman_image, 1, 0)
self.maze = pygame.transform.scale(
... | code_fim | hard | {
"lang": "python",
"repo": "a1noack/eeg_data_collection_scripts",
"path": "/environment/environment.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class HTMLElementNotFoundException(Exception):
def __init__(self, message):
super(HTMLElementNotFoundException, self).__init__(message)<|fim_prefix|># repo: tunatone0111/bytecoin path: /microservice/errors.py
class StockNotFoundException(Exception):
def __init__(self, message):
<|fim_midd... | code_fim | hard | {
"lang": "python",
"repo": "tunatone0111/bytecoin",
"path": "/microservice/errors.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, message):
super(DateNotInRangeException, self).__init__(message)
class HTMLElementNotFoundException(Exception):
def __init__(self, message):
super(HTMLElementNotFoundException, self).__init__(message)<|fim_prefix|># repo: tunatone0111/bytecoin path: /microserv... | code_fim | medium | {
"lang": "python",
"repo": "tunatone0111/bytecoin",
"path": "/microservice/errors.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tunatone0111/bytecoin path: /microservice/errors.py
class StockNotFoundException(Exception):
def __init__(self, message):
<|fim_suffix|>
class DateNotInRangeException(Exception):
def __init__(self, message):
super(DateNotInRangeException, self).__init__(message)
class HTMLElemen... | code_fim | medium | {
"lang": "python",
"repo": "tunatone0111/bytecoin",
"path": "/microservice/errors.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.