text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: victorfengming/python_projects path: /history_pro/python_January/python10/random随机模块.py
#!/usr/bin/env python
# -*- coding:utf-8 -*-
# coding by xiaoming
'''
当你的才华还撑不起你的野心时,那你就应该静下心来学习
当你的能力还驾驭不了你的目标时,那就应该沉下心来历练
'''
<|fim_suffix|>随机获取指定范围内的所有数值包括小数
格式：random.uniform(开始值，结束值)
返回值：随机返回范围内的所有数值(浮点... | code_fim | hard | {
"lang": "python",
"repo": "victorfengming/python_projects",
"path": "/history_pro/python_January/python10/random随机模块.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>获取指定范围内指定间隔的随机整数数
格式：random.randrange(开始值，结束值[，间隔值])
返回值：整数
uniform()
随机获取指定范围内的所有数值包括小数
格式：random.uniform(开始值，结束值)
返回值：随机返回范围内的所有数值(浮点型)
'''<|fim_prefix|># repo: victorfengming/python_projects path: /history_pro/python_January/python10/random随机模块.py
#!/usr/bin/env python
# -*- coding:utf-8 -*-
# codin... | code_fim | hard | {
"lang": "python",
"repo": "victorfengming/python_projects",
"path": "/history_pro/python_January/python10/random随机模块.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TechNetDemo/t-was path: /install-app.py
AdminApp.install('/work/app/sample.war', '[ -nopreCompileJSPs -distributeApp -nouseMetaDataFromBinary -nodeployejb -appname sample -createMBeansForResources -noreloadEnabled -nodeployws -validateinstall warn -noprocessEmbeddedConfig -filepermission .*\.dll=... | code_fim | hard | {
"lang": "python",
"repo": "TechNetDemo/t-was",
"path": "/install-app.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>lientModule -clientMode isolated -novalidateSchema -contextroot /sample -MapModulesToServers [[ "Hello, World Application" sample.war,WEB-INF/web.xml WebSphere:cell=DefaultCell01,node=DefaultNode01,server=server1 ]] -MapWebModToVH [[ "Hello, World Application" sample.war,WEB-INF/web.xml default_host ]] -C... | code_fim | hard | {
"lang": "python",
"repo": "TechNetDemo/t-was",
"path": "/install-app.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>erver1 ]] -MapWebModToVH [[ "Hello, World Application" sample.war,WEB-INF/web.xml default_host ]] -CtxRootForWebMod [[ "Hello, World Application" sample.war,WEB-INF/web.xml /sample ]]]' )
AdminConfig.save()<|fim_prefix|># repo: TechNetDemo/t-was path: /install-app.py
AdminApp.install('/work/app/sample.wa... | code_fim | hard | {
"lang": "python",
"repo": "TechNetDemo/t-was",
"path": "/install-app.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# Load Data
#new getAudioDatasets util lets you specify subjects to hold out from training and val datasets.
#train_dataset = AudioDataset(config)
train_dataset, test_dataset = getAudioDatasets(config,hold_out={15})
train_idx, val_idx = splitIndices(train_dataset, config.nt, config.nv, shuffle... | code_fim | hard | {
"lang": "python",
"repo": "asim-v/lie-detector",
"path": "/models/rnn_audio.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: asim-v/lie-detector path: /models/rnn_audio.py
# Python Imports
import argparse
import copy
# Torch Imports
import torch
#from torch import LongTensor
#from torchtext.vocab import load_word_vectors
from torch.autograd import Variable
#from torch.nn.utils.rnn import pack_padded_sequence#, pad_pa... | code_fim | hard | {
"lang": "python",
"repo": "asim-v/lie-detector",
"path": "/models/rnn_audio.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>rint("b is largest number")
else:
print("c is largest number")<|fim_prefix|># repo: Niranjana55/basic_problems path: /12_find_largestamong_3_numbers.py
#find largest among 3 numbers
a=int(input("enter the number a:"))
b=int(input("enter the number b:"))
c=int(input("enter the number<|fim_middle|> c:"... | code_fim | medium | {
"lang": "python",
"repo": "Niranjana55/basic_problems",
"path": "/12_find_largestamong_3_numbers.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Niranjana55/basic_problems path: /12_find_largestamong_3_numbers.py
#find largest among 3 numbers
a=int(input("enter the number a:"))
b=int(input("enter the number b:"))
c=int(input("enter the number<|fim_suffix|>rint("b is largest number")
else:
print("c is largest number")<|fim_middle|> c:"... | code_fim | medium | {
"lang": "python",
"repo": "Niranjana55/basic_problems",
"path": "/12_find_largestamong_3_numbers.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Algebra8/pyopenapi3 path: /src/pyopenapi3/__init__.py
# flake8: noqa
from .builders import OpenApiBuilder
import pyopenapi3.objects
import pyopenapi3.data_types
<|fim_suffix|>__all__ = (
"OpenApiBuilder",
"objects",
"data_types",
"create_schema"
)
__version__ = "0.1.dev0"<|fim_... | code_fim | easy | {
"lang": "python",
"repo": "Algebra8/pyopenapi3",
"path": "/src/pyopenapi3/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>__all__ = (
"OpenApiBuilder",
"objects",
"data_types",
"create_schema"
)
__version__ = "0.1.dev0"<|fim_prefix|># repo: Algebra8/pyopenapi3 path: /src/pyopenapi3/__init__.py
# flake8: noqa
from .builders import OpenApiBuilder
import pyopenapi3.objects
import pyopenapi3.data_types
<|fim_... | code_fim | easy | {
"lang": "python",
"repo": "Algebra8/pyopenapi3",
"path": "/src/pyopenapi3/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> start = time.time()
t = str(random.getrandbits(64)).encode('utf-8')
val = hashlib.sha256(t).hexdigest()
nonce = 0
while int(val,16)>int(tgt,16):
temp = int(val,16) + nonce
val = hashlib.sha256((hex(temp)).encode('utf-8')).hexdigest()
nonce+=1
return ... | code_fim | medium | {
"lang": "python",
"repo": "betcherj/CSCI3394",
"path": "/Systems_HW3_Server.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: betcherj/CSCI3394 path: /Systems_HW3_Server.py
import random
import hashlib
import time
import socket
<|fim_suffix|>tgt = hex(10**10)
s = socket.socket()
host = socket.gethostname()
port = 5005
s.bind((host, port))
s.listen(5) ... | code_fim | hard | {
"lang": "python",
"repo": "betcherj/CSCI3394",
"path": "/Systems_HW3_Server.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>tgt = hex(10**10)
s = socket.socket()
host = socket.gethostname()
port = 5005
s.bind((host, port))
s.listen(5)
while True:
c, addr = s.accept()
val = tHeader(tgt)
c.send(int(val, 16))
c.close()<|fim_prefix|># repo: betcherj/CSCI33... | code_fim | hard | {
"lang": "python",
"repo": "betcherj/CSCI3394",
"path": "/Systems_HW3_Server.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ophwsjtu18/ohw20s path: /students/wmh/homework8/serial.py
import serial
ser=serial.Serial("COM21")
while True:
a=input("please type your cmd here, q <|fim_suffix|>f a=='q':
break
ser.write(a.encode())<|fim_middle|>for quit, e for remote quit.")
print(a)
i | code_fim | easy | {
"lang": "python",
"repo": "ophwsjtu18/ohw20s",
"path": "/students/wmh/homework8/serial.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>f a=='q':
break
ser.write(a.encode())<|fim_prefix|># repo: ophwsjtu18/ohw20s path: /students/wmh/homework8/serial.py
import serial
ser=serial.Serial("COM21")
whil<|fim_middle|>e True:
a=input("please type your cmd here, q for quit, e for remote quit.")
print(a)
i | code_fim | medium | {
"lang": "python",
"repo": "ophwsjtu18/ohw20s",
"path": "/students/wmh/homework8/serial.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>for quit, e for remote quit.")
print(a)
if a=='q':
break
ser.write(a.encode())<|fim_prefix|># repo: ophwsjtu18/ohw20s path: /students/wmh/homework8/serial.py
import serial
ser=serial.Serial("COM21")
whil<|fim_middle|>e True:
a=input("please type your cmd here, q | code_fim | easy | {
"lang": "python",
"repo": "ophwsjtu18/ohw20s",
"path": "/students/wmh/homework8/serial.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ashrafcloud/Python_Programs path: /calculator.py
# Write a Program to pass two variable into a function and then perform arthemtic operations (+,-,*,/).print the result
def cal(a,b):
print("sum is:" ,a+b)
print("diff is:", a-b)
print("product is:",a*b)
print("quotient is",a/b)
... | code_fim | medium | {
"lang": "python",
"repo": "ashrafcloud/Python_Programs",
"path": "/calculator.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# Output
enter a no 2: 2
sum is: 6
diff is: 2 ... | code_fim | medium | {
"lang": "python",
"repo": "ashrafcloud/Python_Programs",
"path": "/calculator.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: whoiskx/com_code path: /history/Facebook/rewrite/kafka/redis_insert.py
import redis # 导入redis模块，通过python操作redis 也可以直接在redis主机的服务端操作缓存数据库
r = redis.Redis(host='localhost', port=6379, db=0) # host是redis主机，需要redis服务端和客户端都启动 redis默认端口是6379
# r.set('tasklist', 'junxi') # key是"foo" value是"bar" 将键... | code_fim | medium | {
"lang": "python",
"repo": "whoiskx/com_code",
"path": "/history/Facebook/rewrite/kafka/redis_insert.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># 字典
# r.hset('dict', 'url3', 'wwww123')
# print(r.hgetall('dict'))
# 列表
r.lpush('list', "{url:123555}")
r.lpush('list', "{url:1235554}")
print(r.lrange('list', 0, -1))<|fim_prefix|># repo: whoiskx/com_code path: /history/Facebook/rewrite/kafka/redis_insert.py
import redis # 导入redis模块，通过python操作redis ... | code_fim | hard | {
"lang": "python",
"repo": "whoiskx/com_code",
"path": "/history/Facebook/rewrite/kafka/redis_insert.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># 列表
r.lpush('list', "{url:123555}")
r.lpush('list', "{url:1235554}")
print(r.lrange('list', 0, -1))<|fim_prefix|># repo: whoiskx/com_code path: /history/Facebook/rewrite/kafka/redis_insert.py
import redis # 导入redis模块，通过python操作redis 也可以直接在redis主机的服务端操作缓存数据库
r = redis.Redis(host='localhost', port=6379... | code_fim | medium | {
"lang": "python",
"repo": "whoiskx/com_code",
"path": "/history/Facebook/rewrite/kafka/redis_insert.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: moran-ai/Python_Adavnce path: /复习/生成器实现生产者消费者模式.py
def produce(c):
print("--3、启动生成器，开始执行生成器consumer--")
c.send(None) # 3、启动生成器，开始执行生成器consumer
print("--6、继续往下执行--")
n = 0
while n < 5:
n += 1
print("[Producer]: producing {} ..".format(n))
print("--7、第{}... | code_fim | hard | {
"lang": "python",
"repo": "moran-ai/Python_Adavnce",
"path": "/复习/生成器实现生产者消费者模式.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def m(s):
print('启动生成器')
s.send(None)
n = 0
while n < 5:
n += 1
print(f'第{n}次启动生成器')
r = s.send(n)
print(r)
s.close()
def n():
print('开启生成器')
response = None
while True:
print('中断保存上下文')
c = yield response
print(c)
... | code_fim | hard | {
"lang": "python",
"repo": "moran-ai/Python_Adavnce",
"path": "/复习/生成器实现生产者消费者模式.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># def mm():
# a, b = 0, 1
# response = 0
# while True:
# c = yield response
# print(c)
# a, b = b, a + b
# # response = response + a
# m = mm()
# print(m.__next__())
# print(m.__next__())
def m(s):
print('启动生成器')
s.send(None)
n = 0
while n < ... | code_fim | hard | {
"lang": "python",
"repo": "moran-ai/Python_Adavnce",
"path": "/复习/生成器实现生产者消费者模式.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> mean_absolute_error_score = mean_absolute_error(y_true=y_true, y_pred=y_pred, multioutput='uniform_average')
print("mean_absolute_error:", mean_absolute_error_score)
mean_squared_error_score = mean_squared_error(y_true=y_true, y_pred=y_pred, multioutput='uniform_average')
print("mean_squared_error:", ... | code_fim | hard | {
"lang": "python",
"repo": "CyberCrack/TestAing-Regression",
"path": "/Utility.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CyberCrack/TestAing-Regression path: /Utility.py
import datetime
import os
import pickle
import h2o.automl
import pandas as pd
import xgboost as xg
from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score
from sklearn.model_selection import train_test_split
from sklearn.pipe... | code_fim | hard | {
"lang": "python",
"repo": "CyberCrack/TestAing-Regression",
"path": "/Utility.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> count = query.count()
groups = query.order_by(Group.id.desc()).offset(offset).limit(limit).all()
return render_template('login/groups.html', groups=groups, int=int, abs=abs,
offset=offset, limit=limit, count=count)
@app.route('/robots/', methods=['GET'])
def data_ro... | code_fim | hard | {
"lang": "python",
"repo": "lyflm/wx_chat",
"path": "/app/chat/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lyflm/wx_chat path: /app/chat/views.py
# -*- coding: utf-8 -*-
import os
import time
import shutil
from threading import Thread
from flask import render_template, Response, request
from app import app
from app.chat import itchat_run
from app.utils import generator_string_id
from app.models impo... | code_fim | hard | {
"lang": "python",
"repo": "lyflm/wx_chat",
"path": "/app/chat/views.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if group:
query = query.filter_by(group=group)
if nick_name:
query = query.filter_by(nick_name=nick_name)
if remark_name:
query = query.filter_by(remark_name=remark_name)
if display_name:
query = query.filter_by(display_name=display_name)
if sex:
... | code_fim | hard | {
"lang": "python",
"repo": "lyflm/wx_chat",
"path": "/app/chat/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> luas_segitiga = alas * tinggi / 2
return luas_segitiga<|fim_prefix|># repo: KazeCrowz/crash-course-2-modularisasi path: /Geometry/segitiga.py
def info():
return 'Modul tentang menghitung luas segitiga'
<|fim_middle|>def hitung_segitiga(alas, tinggi):
| code_fim | easy | {
"lang": "python",
"repo": "KazeCrowz/crash-course-2-modularisasi",
"path": "/Geometry/segitiga.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KazeCrowz/crash-course-2-modularisasi path: /Geometry/segitiga.py
def info():
return 'Modul tentang menghitung luas segitiga'
<|fim_suffix|> luas_segitiga = alas * tinggi / 2
return luas_segitiga<|fim_middle|>def hitung_segitiga(alas, tinggi):
| code_fim | easy | {
"lang": "python",
"repo": "KazeCrowz/crash-course-2-modularisasi",
"path": "/Geometry/segitiga.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Andreskcrs21/Modulo-Administracion-JISA path: /Clientes/admin.py
from django.contrib import admin
from .models import Clientes
# Register your models here.
class ClientesAdmin(admin.ModelAdmin):
<|fim_suffix|>admin.site.register(Clientes, ClientesAdmin)<|fim_middle|> list_display = (
... | code_fim | medium | {
"lang": "python",
"repo": "Andreskcrs21/Modulo-Administracion-JISA",
"path": "/Clientes/admin.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
admin.site.register(Clientes, ClientesAdmin)<|fim_prefix|># repo: Andreskcrs21/Modulo-Administracion-JISA path: /Clientes/admin.py
from django.contrib import admin
from .models import Clientes
<|fim_middle|># Register your models here.
class ClientesAdmin(admin.ModelAdmin):
list_display = (
... | code_fim | hard | {
"lang": "python",
"repo": "Andreskcrs21/Modulo-Administracion-JISA",
"path": "/Clientes/admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>admin.site.register(Clientes, ClientesAdmin)<|fim_prefix|># repo: Andreskcrs21/Modulo-Administracion-JISA path: /Clientes/admin.py
from django.contrib import admin
from .models import Clientes
# Register your models here.
class ClientesAdmin(admin.ModelAdmin):
<|fim_middle|> list_display = (
... | code_fim | medium | {
"lang": "python",
"repo": "Andreskcrs21/Modulo-Administracion-JISA",
"path": "/Clientes/admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kaspiotr/Sentiment-Analyzer path: /data_generator.py
from os import listdir
import random
import numpy as np
TEST_DATA_PERCENTAGE = 30
class DataGenerator:
def __init__(self, neg_reviews_dir_path, pos_reviews_dir_path):
self.neg_reviews_dir_path = neg_reviews_dir_path
self.... | code_fim | hard | {
"lang": "python",
"repo": "kaspiotr/Sentiment-Analyzer",
"path": "/data_generator.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.train_samples_count
def get_test_samples_count(self):
return self.test_samples_count
def get_train_generator(self, batch_size):
idx = 0
while True:
x = []
y = []
counter = 0
while counter < batch_size:
... | code_fim | hard | {
"lang": "python",
"repo": "kaspiotr/Sentiment-Analyzer",
"path": "/data_generator.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.CreateModel(
name='Comments',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('userName', models.CharField(max_length=1000)),
('userID'... | code_fim | hard | {
"lang": "python",
"repo": "abiralmahdi/ECommerceWebsite",
"path": "/home/migrations/0003_auto_20210211_1557.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abiralmahdi/ECommerceWebsite path: /home/migrations/0003_auto_20210211_1557.py
# Generated by Django 3.0.8 on 2021-02-11 09:57
from django.db import migrations, models
class Migration(migrations.Migration):
<|fim_suffix|> operations = [
migrations.CreateModel(
name='Comm... | code_fim | hard | {
"lang": "python",
"repo": "abiralmahdi/ECommerceWebsite",
"path": "/home/migrations/0003_auto_20210211_1557.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def add_model_args(parser):
group = parser.add_argument_group('Model configuration')
group.add_argument('--vae-arch', default='conv_vae', metavar='ARCH',
help='VAE model architecture')
return group
def add_optimization_args(parser):
group = parser.add_argument... | code_fim | hard | {
"lang": "python",
"repo": "yjxiao/disentrepr_wtc",
"path": "/disent/options.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> parser = argparse.ArgumentParser()
parser.add_argument('--no-progress-bar', action='store_true', help='disable progress bar')
parser.add_argument('--log-interval', type=int, default=1000, metavar='N',
help='log progress every N batches (when progress bar is disabled)')... | code_fim | hard | {
"lang": "python",
"repo": "yjxiao/disentrepr_wtc",
"path": "/disent/options.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yjxiao/disentrepr_wtc path: /disent/options.py
import argparse
from functools import partial
import torch
from disent.metrics import METRIC_REGISTRY
from disent.models import MODEL_REGISTRY
from disent.optim import OPTIMIZER_REGISTRY
from disent.optim.lr_scheduler import LR_SCHEDULER_REGISTRY
f... | code_fim | hard | {
"lang": "python",
"repo": "yjxiao/disentrepr_wtc",
"path": "/disent/options.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> dfdf.loc[col] = [xunique, xset, xmode, xmodep, xnas, xcorr, xcorr2, xcorr3, xaction]
# save results so can duplicate on test set later
dfdf.to_csv("FeatureSuggestion.csv", index = True)
return dfdf
# Get all cats cols
#cat_df = df.drop(df._get_numeric_dat... | code_fim | hard | {
"lang": "python",
"repo": "mattsavoca/ames_housingregression",
"path": "/Katy/Scripts/CatAnalysis.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mattsavoca/ames_housingregression path: /Katy/Scripts/CatAnalysis.py
# -*- coding: utf-8 -*-
"""
CATS ANALYSIS
"""
# Basic Libraries
import pandas as pd
import numpy as np
# Pull in data
test = pd.read_csv('./test.csv')
train = pd.read_csv('./train.csv')
df = train.copy()
df['logy... | code_fim | hard | {
"lang": "python",
"repo": "mattsavoca/ames_housingregression",
"path": "/Katy/Scripts/CatAnalysis.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AnushSomasundaram/Anush_Python_projects path: /chap4_fuctions/pass.py
#the pass keyword can be used to leave areas of the code empty so that they can be worked on later
bool=True
<|fim_suffix|>#if the pass keyword was not inserted after else and a set of commands were also not present then the ... | code_fim | medium | {
"lang": "python",
"repo": "AnushSomasundaram/Anush_Python_projects",
"path": "/chap4_fuctions/pass.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#pass is a placeholder
# the continue keyword is another place holder which can be used at the end of a if statement<|fim_prefix|># repo: AnushSomasundaram/Anush_Python_projects path: /chap4_fuctions/pass.py
#the pass keyword can be used to leave areas of the code empty so that they can be worked on lat... | code_fim | hard | {
"lang": "python",
"repo": "AnushSomasundaram/Anush_Python_projects",
"path": "/chap4_fuctions/pass.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MengYing/leetcode path: /python/1_TwoSum.py
class Solution(object):
def twoSum(self, nums, target):
map = {}
diff = 0
for i in range(0, len(nums), 1):
map[str(i)] = nums[i]
#print map['1']
for k in range(0, len(nums), 1):
... | code_fim | medium | {
"lang": "python",
"repo": "MengYing/leetcode",
"path": "/python/1_TwoSum.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># if __name__ == '__main__':
# test = Solution()
# nums = [5,20,75]
# #nums = [3, 2, 4]
# print type(nums)
# target = 95
# result = test.twoSum(nums, target)
# print result<|fim_prefix|># repo: MengYing/leetcode path: /python/1_TwoSum.py
class Solution(object):
def... | code_fim | medium | {
"lang": "python",
"repo": "MengYing/leetcode",
"path": "/python/1_TwoSum.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: twstokes/garage-pi path: /garage.py
#!/usr/bin/python
import RPi.GPIO as GPIO
import time
# set the GPIO mode
GPIO.setmode(GPIO.BCM)
# set pin 18 for output
GPIO.setup(18, GPIO.OUT)
# out<|fim_suffix|>rn off output for pin 18
GPIO.output(18, False)
# gpio cleanup
GPIO.cleanup()<|fim_middle|>put... | code_fim | medium | {
"lang": "python",
"repo": "twstokes/garage-pi",
"path": "/garage.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>put to pin 18
GPIO.output(18, True)
# sleep for one second
time.sleep(1)
# turn off output for pin 18
GPIO.output(18, False)
# gpio cleanup
GPIO.cleanup()<|fim_prefix|># repo: twstokes/garage-pi path: /garage.py
#!/usr/bin/python
import RPi.GPIO as GPIO
import time
# set the GPIO mode
<|fim_middle|>GPI... | code_fim | medium | {
"lang": "python",
"repo": "twstokes/garage-pi",
"path": "/garage.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class _Mode(object):
def __init__(self):
self.switch = False
self.screen = setup.SCREEN
self.pos = (0, 0)
self.font = setup.FONT_DICT
def update(self):
pass
def startup(self):
pass
def get_event(self, event):
pass<|fim_prefix|># r... | code_fim | hard | {
"lang": "python",
"repo": "Dark15/Gomoku-AI",
"path": "/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> while True:
self.event_loop()
self.update()
pg.display.update()
class _Mode(object):
def __init__(self):
self.switch = False
self.screen = setup.SCREEN
self.pos = (0, 0)
self.font = setup.FONT_DICT
def update(self):
... | code_fim | medium | {
"lang": "python",
"repo": "Dark15/Gomoku-AI",
"path": "/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Dark15/Gomoku-AI path: /main.py
import pygame as pg
import constants as c
from sys import exit
import setup
class Main(object):
def __init__(self):
self.modes_dict = None
self.now_mode = None
<|fim_suffix|>
class _Mode(object):
def __init__(self):
self.switch = ... | code_fim | hard | {
"lang": "python",
"repo": "Dark15/Gomoku-AI",
"path": "/main.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: asumisora-dev/TEST2 path: /Untitled-1.py
number = 1
number2 = 1.0
getattr = 'こんにちは'
is_ok = True
<|fim_suffix|>print(2 > 1)
print(1 < 1)
print(3 > 4)
print(5 * 2)
print('テスト・テスト')<|fim_middle|>print(number, type(number))
print(number2, type(number2))
print(getattr, type(getattr))
pri... | code_fim | medium | {
"lang": "python",
"repo": "asumisora-dev/TEST2",
"path": "/Untitled-1.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>print(2 > 1)
print(1 < 1)
print(3 > 4)
print(5 * 2)
print('テスト・テスト')<|fim_prefix|># repo: asumisora-dev/TEST2 path: /Untitled-1.py
number = 1
number2 = 1.0
getattr = 'こんにちは'
is_ok = True
<|fim_middle|>print(number, type(number))
print(number2, type(number2))
print(getattr, type(getattr))
pri... | code_fim | medium | {
"lang": "python",
"repo": "asumisora-dev/TEST2",
"path": "/Untitled-1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DunZhang/DPTrees path: /tree/CARTClassifier.py
# -*- coding: utf-8 -*-
"""
Created on Mon May 7 14:28:31 2018
@author: Administrator
"""
from copy import deepcopy
from sklearn import datasets
from FeatureEvaluate import CartGini
from FeatureEvaluate import gini
from FeatureEvaluate import SE
fr... | code_fim | hard | {
"lang": "python",
"repo": "DunZhang/DPTrees",
"path": "/tree/CARTClassifier.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def fit(self,X,y):
x_train, x_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=10,stratify=y)
self.x,self.y=np.array(x_train),np.array(y_train)
self.__LabelEncoder()
self.root=self.__build(ins=list(range(len(self.x))),
... | code_fim | hard | {
"lang": "python",
"repo": "DunZhang/DPTrees",
"path": "/tree/CARTClassifier.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> res=[]
for i in range(len(X)):
res.append(self.__predict(self.root,X[i,:]))
res=list( res)
ins=dict()
y=np.array(y)
for i in range(len(res)):
if(res[i] not in ins.keys()):
ins[res[i]]=[]
... | code_fim | hard | {
"lang": "python",
"repo": "DunZhang/DPTrees",
"path": "/tree/CARTClassifier.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Fluidy/tvtl2021 path: /plot_figures.py
import numpy as np
import pandas as pd
import matplotlib
matplotlib.use("TkAgg")
import matplotlib.pyplot as plt
matplotlib.rcParams['text.usetex'] = True
matplotlib.rc('font', size=12)
def plot_learning(result_dir, ax, smooth=50, interval=50, err... | code_fim | hard | {
"lang": "python",
"repo": "Fluidy/tvtl2021",
"path": "/plot_figures.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>ax.set_xlim([100, 2500])
ax.set_ylim([60, 450])
ax.set_xlabel('Episode')
ax.set_xticks(np.arange(500, 3000, 500))
ax.set_yticks([60, 70, 80, 90, 100, 200, 300, 400])
ax.get_yaxis().set_major_formatter(matplotlib.ticker.ScalarFormatter())
ax.set_ylabel('E2E Delay (ms)')
ax.grid()
ax.legend(handle... | code_fim | hard | {
"lang": "python",
"repo": "Fluidy/tvtl2021",
"path": "/plot_figures.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RL-OtherApps/logistic path: /base_enh/models/weight_type.py
# -*- coding: utf-8 -*-
from odoo import models, fields, api
class WeightType(models.Model):
_name = 'weight.type'
_inherit = ['mail.thread', 'mail.activity.mixin']
_description = "WeightType"
name = fields.Char('... | code_fim | hard | {
"lang": "python",
"repo": "RL-OtherApps/logistic",
"path": "/base_enh/models/weight_type.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> ('express', 'Express')],string="Shipment Method")
weight_from=fields.Float(string='Weight From', default=0.0)
weight_to=fields.Float(string='Weight To', default=0.0)
uom_id=fields.Many2one('uom.uom',
default=lambda self: self.env['uom.uom'].search([('... | code_fim | hard | {
"lang": "python",
"repo": "RL-OtherApps/logistic",
"path": "/base_enh/models/weight_type.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zyga/arrowhead path: /examples/tutorial4.py
#!/usr/bin/env python3
"""
Tutorial Lesson 4
=================
This is the fourth tutorial arrowhead program.
The previous lessons introduced all of the baisc concepts of arrowhead. Now
we'll look at how one can work with flow state.
<|fim_suffix|>So... | code_fim | hard | {
"lang": "python",
"repo": "zyga/arrowhead",
"path": "/examples/tutorial4.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>So there you have it, each step can store any state attribute (except Meta,
that's reserved), then you can each out to any other step by accepting the flow
argument. Through that argument you get the instance of the flow class you are
executing in and you can access each step as it were an attribute.
"""
... | code_fim | hard | {
"lang": "python",
"repo": "zyga/arrowhead",
"path": "/examples/tutorial4.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
i = linalg.inv(b)
print(i)
ab = matmul(a, b)
print(ab)<|fim_prefix|># repo: nicosalu/inteligencia-2017 path: /Matrices-Ejercicio-Clase-1/prueba.py
from numpy import array, linalg, matmul
a = array([[1, -1, 0], [3, 0, -1], [1, 3, -2]])
print(a)
b = array([[2, -1, 1], [0, 3, -1], [-1, 2, 0]])
print(b)... | code_fim | easy | {
"lang": "python",
"repo": "nicosalu/inteligencia-2017",
"path": "/Matrices-Ejercicio-Clase-1/prueba.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nicosalu/inteligencia-2017 path: /Matrices-Ejercicio-Clase-1/prueba.py
from numpy import array, linalg, matmul
a = array([[1, -1, 0], [3, 0, -1], [1, 3, -2]])
print(a)
b = array([[2, -1, 1], [0, 3, -1], [-1, 2, 0]])
print(b)
<|fim_suffix|>i = linalg.inv(b)
print(i)
ab = matmul(a, b)
print(ab... | code_fim | easy | {
"lang": "python",
"repo": "nicosalu/inteligencia-2017",
"path": "/Matrices-Ejercicio-Clase-1/prueba.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>ab = matmul(a, b)
print(ab)<|fim_prefix|># repo: nicosalu/inteligencia-2017 path: /Matrices-Ejercicio-Clase-1/prueba.py
from numpy import array, linalg, matmul
a = array([[1, -1, 0], [3, 0, -1], [1, 3, -2]])
print(a)
b = array([[2, -1, 1], [0, 3, -1], [-1, 2, 0]])
print(b)
<|fim_middle|>
inv = linalg.... | code_fim | medium | {
"lang": "python",
"repo": "nicosalu/inteligencia-2017",
"path": "/Matrices-Ejercicio-Clase-1/prueba.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Sathyasree-Sundaravel/sathya path: /Program_to_print_product_of_two_numbers_is_odd_or_even.py
#Program to print product of two numbers<|fim_suffix|>
print("even")
else:
print("odd")<|fim_middle|> is odd or even
N1,N2=map(int,input().split())
product=N1*N2
if((product%2)==0): | code_fim | medium | {
"lang": "python",
"repo": "Sathyasree-Sundaravel/sathya",
"path": "/Program_to_print_product_of_two_numbers_is_odd_or_even.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>lit())
product=N1*N2
if((product%2)==0):
print("even")
else:
print("odd")<|fim_prefix|># repo: Sathyasree-Sundaravel/sathya path: /Program_to_print_product_of_two_numbers_is_odd_or_even.py
#Program to print product of two numbers<|fim_middle|> is odd or even
N1,N2=map(int,input().sp | code_fim | easy | {
"lang": "python",
"repo": "Sathyasree-Sundaravel/sathya",
"path": "/Program_to_print_product_of_two_numbers_is_odd_or_even.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
print("even")
else:
print("odd")<|fim_prefix|># repo: Sathyasree-Sundaravel/sathya path: /Program_to_print_product_of_two_numbers_is_odd_or_even.py
#Program to print product of two numbers is odd or even
N1,N2=map(int,input().sp<|fim_middle|>lit())
product=N1*N2
if((product%2)==0): | code_fim | easy | {
"lang": "python",
"repo": "Sathyasree-Sundaravel/sathya",
"path": "/Program_to_print_product_of_two_numbers_is_odd_or_even.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Matje1979/festival_manager path: /manager/forms.py
from django import forms
from.models import Visitor
<|fim_suffix|> model = Visitor
fields = ['first_name', 'last_name', 'email']<|fim_middle|>class EventVisitorForm(forms.ModelForm):
class Meta:
| code_fim | easy | {
"lang": "python",
"repo": "Matje1979/festival_manager",
"path": "/manager/forms.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> class Meta:
model = Visitor
fields = ['first_name', 'last_name', 'email']<|fim_prefix|># repo: Matje1979/festival_manager path: /manager/forms.py
from django import forms
from.models import Visitor
<|fim_middle|>class EventVisitorForm(forms.ModelForm):
| code_fim | easy | {
"lang": "python",
"repo": "Matje1979/festival_manager",
"path": "/manager/forms.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>needs = TweetReader('/home/long/TTU-SOURCES/harvey-need/data/daily-need/needs.csv', text_column=0, separator='|', encoding='utf8')
need_corpus = needs.get_corpus()
words_names = []
words_count = []
need_wfreq = dict()
frequencies = []
total_frequency = 0
for (word, freq) in wfreq:
if word not in n... | code_fim | medium | {
"lang": "python",
"repo": "yangzhou95/opioid_on_reddit",
"path": "/code/text_classifier/src/top_words_frequency.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yangzhou95/opioid_on_reddit path: /code/text_classifier/src/top_words_frequency.py
from collections import Counter
import numpy as np
import matplotlib.pyplot as plt
from core.tweet_reader import TweetReader
import statistics
import operator
reader = TweetReader('data/need/full-day-need/09_02.c... | code_fim | hard | {
"lang": "python",
"repo": "yangzhou95/opioid_on_reddit",
"path": "/code/text_classifier/src/top_words_frequency.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>median_freq = statistics.median(frequencies)
## remove low frequency items
final_wfreq = dict()
for word, freq in need_wfreq.items():
if freq > median_freq:
final_wfreq[word] = freq
sorted_wfreq = sorted(final_wfreq.items(), key=operator.itemgetter(1))
for word, freq in sorted_wfreq:
word... | code_fim | hard | {
"lang": "python",
"repo": "yangzhou95/opioid_on_reddit",
"path": "/code/text_classifier/src/top_words_frequency.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: arthur0496/SMI-Master path: /transductors/urls.py
from rest_framework import routers
<|fim_suffix|>router = routers.DefaultRouter()
router.register(r'energy_transductors', EnergyTransductorViewSet)
urlpatterns = []<|fim_middle|>from .views import EnergyTransductorViewSet
app_name = "transducto... | code_fim | medium | {
"lang": "python",
"repo": "arthur0496/SMI-Master",
"path": "/transductors/urls.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>app_name = "transductors"
router = routers.DefaultRouter()
router.register(r'energy_transductors', EnergyTransductorViewSet)
urlpatterns = []<|fim_prefix|># repo: arthur0496/SMI-Master path: /transductors/urls.py
from rest_framework import routers
<|fim_middle|>from .views import EnergyTransductorView... | code_fim | easy | {
"lang": "python",
"repo": "arthur0496/SMI-Master",
"path": "/transductors/urls.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>router = routers.DefaultRouter()
router.register(r'energy_transductors', EnergyTransductorViewSet)
urlpatterns = []<|fim_prefix|># repo: arthur0496/SMI-Master path: /transductors/urls.py
from rest_framework import routers
from .views import EnergyTransductorViewSet
<|fim_middle|>app_name = "transducto... | code_fim | easy | {
"lang": "python",
"repo": "arthur0496/SMI-Master",
"path": "/transductors/urls.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fmelodb/NoSQL-Demo-on-Oracle-DB path: /REST/dropCollection.py
import requests
import sys
url = 'http://localhost:9<|fim_suffix|>quests.delete(url)
if (response.status_code == 200):
print("Collection droped")
else:
print("Erro")<|fim_middle|>090/ords/hr/soda/latest/' + sys.argv[1]
respons... | code_fim | easy | {
"lang": "python",
"repo": "fmelodb/NoSQL-Demo-on-Oracle-DB",
"path": "/REST/dropCollection.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>quests.delete(url)
if (response.status_code == 200):
print("Collection droped")
else:
print("Erro")<|fim_prefix|># repo: fmelodb/NoSQL-Demo-on-Oracle-DB path: /REST/dropCollection.py
import requests
import sys
url = 'http://localhost:9<|fim_middle|>090/ords/hr/soda/latest/' + sys.argv[1]
respons... | code_fim | easy | {
"lang": "python",
"repo": "fmelodb/NoSQL-Demo-on-Oracle-DB",
"path": "/REST/dropCollection.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Light07/Mobile_FrameWork path: /EvcMobile/android/tests/enter_class/test_chats.py
from ef_common.take_screenshot import take_screenshot
from hamcrest import assert_that, equal_to
import settings
from android.pages.evc.login_page import LoginPage
from settings import UAT_Account
from teacher_comm... | code_fim | medium | {
"lang": "python",
"repo": "Light07/Mobile_FrameWork",
"path": "/EvcMobile/android/tests/enter_class/test_chats.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Student enter class.
student_name =UAT_Account.EFEC_BEG_IN_WHITE_LIST_Account['username']
login_page = LoginPage(self.browser)
debug_page = login_page.go_to_debug_option_page()
class_room_entry_page = debug_page.go_to_class_room_entry_page()
room_name = cl... | code_fim | medium | {
"lang": "python",
"repo": "Light07/Mobile_FrameWork",
"path": "/EvcMobile/android/tests/enter_class/test_chats.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def SolveGame(self):
for round in itertools.combinations_with_replacement(range(1, self.numActions + 1), self.TotalMoves):
self.reset()
print("Before: \n")
self.printGameState()
self.tryMoves(round)
print("After: \n")
#To... | code_fim | hard | {
"lang": "python",
"repo": "sumanthneerumalla/CalculatorSolver",
"path": "/CalculatorGameSolver.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.Goal = value
def setTotalMoves(self,value):
self.MovesLeft = self.TotalMoves = value
def addMove(self,moveName,moveValue = None):
self.numActions += 1
if moveName == "Add":
self.Actions[self.numActions] = (self.AddNum,moveValue,"Add")
eli... | code_fim | hard | {
"lang": "python",
"repo": "sumanthneerumalla/CalculatorSolver",
"path": "/CalculatorGameSolver.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sumanthneerumalla/CalculatorSolver path: /CalculatorGameSolver.py
import itertools
class Game():
def __init__(self):
self.Actions = {}
self.numActions = 0
self.Start = None
self.Value = None
self.Goal = None
self.MovesLeft = None
self.T... | code_fim | hard | {
"lang": "python",
"repo": "sumanthneerumalla/CalculatorSolver",
"path": "/CalculatorGameSolver.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>_logger.info('disabling parso logging')
logging.getLogger('parso').setLevel(level=logging.WARNING)<|fim_prefix|># repo: danodonovan/dotfiles path: /ipython_config.py
# resides at $HOME/.ipython/profile_default/ipython_config.py
from pathlib import Path
import logging
<|fim_middle|>_logger = logging.getL... | code_fim | easy | {
"lang": "python",
"repo": "danodonovan/dotfiles",
"path": "/ipython_config.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: danodonovan/dotfiles path: /ipython_config.py
# resides at $HOME/.ipython/profile_default/ipython_config.py
from pathlib import Path
import logging
<|fim_suffix|>_logger.info('disabling parso logging')
logging.getLogger('parso').setLevel(level=logging.WARNING)<|fim_middle|>_logger = logging.getL... | code_fim | easy | {
"lang": "python",
"repo": "danodonovan/dotfiles",
"path": "/ipython_config.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bennymuller/glTools path: /tools/lockSurfaceLength.py
import maya.cmds as cmds
import glTools.utils.stringUtils
import glTools.utils.surface
def loadPlugin():
"""
Load glCurveUtils plugin.
"""
# Check if plugin is loaded
if not cmds.pluginInfo('glCurveUtils', q=True, l=True)... | code_fim | hard | {
"lang": "python",
"repo": "bennymuller/glTools",
"path": "/tools/lockSurfaceLength.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Add Control Attribute
cmds.addAttr(dupCurve, ln='lockLength', min=0, max=1, dv=1, k=True)
cmds.addAttr(dupCurve, ln='lengthBias', min=0, max=1, dv=0, k=True)
cmds.connectAttr(dupCurve + '.lockLength', blendLen + '.attributesBlender', f=True)
cmds.connectAttr(dupCu... | code_fim | hard | {
"lang": "python",
"repo": "bennymuller/glTools",
"path": "/tools/lockSurfaceLength.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Rebuild 0-1
rebuildSrf = cmds.rebuildSurface(srfV, ch=True, rpo=True, rt=0, end=1, kr=0, kcp=1, su=0, du=3, sv=0, dv=3, tol=0)
rebuildSrfNode = cmds.rename(rebuildSrf[1], prefix + '_rebuildV_rebuildSurface')
# Add Control Attribute
cmds.addAttr(srfV, ln='lockLength', min=0, max=1, d... | code_fim | hard | {
"lang": "python",
"repo": "bennymuller/glTools",
"path": "/tools/lockSurfaceLength.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_current_user(self):
return self.get_secure_cookie("username")<|fim_prefix|># repo: lenovowebcto/Dashboard path: /libriarys/baseclass.py
from tornado.web import RequestHandler
<|fim_middle|>class BaseHandler(RequestHandler):
| code_fim | easy | {
"lang": "python",
"repo": "lenovowebcto/Dashboard",
"path": "/libriarys/baseclass.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lenovowebcto/Dashboard path: /libriarys/baseclass.py
from tornado.web import RequestHandler
<|fim_suffix|> def get_current_user(self):
return self.get_secure_cookie("username")<|fim_middle|>class BaseHandler(RequestHandler):
| code_fim | easy | {
"lang": "python",
"repo": "lenovowebcto/Dashboard",
"path": "/libriarys/baseclass.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> too_close = [1, 1]
values = []
while any(too_close):
values = [random.random() for i in range(l)]
diffs = [values[(i + 1) % l] - values[i] for i in range(l)]
too_close = [abs(b) < thresh for b in diffs]
return values
def sine_phase(x):
# compute sine
# pri... | code_fim | hard | {
"lang": "python",
"repo": "samcooler/seraph",
"path": "/seraph_utils.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if len(angles) == 0:
return 0
elif len(angles) == 1:
return angles[0]
else:
angles_radians = [(p % 1.0) * math.pi * 2 for p in angles]
vectors = [[math.cos(a), math.sin(a)] for a in angles_radians]
vectors_t = list(zip(*vectors))
#print(vectors_t... | code_fim | hard | {
"lang": "python",
"repo": "samcooler/seraph",
"path": "/seraph_utils.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: samcooler/seraph path: /seraph_utils.py
import random, math
def clamp_color(rgb):
return map(rgb, clamp_value)
def clamp_value(val):
if val < 0:
return 0
if val > 1.0:
return 0.999
return val
<|fim_suffix|>
def sine(x):
# compute sine
x %= 6.28318531
... | code_fim | medium | {
"lang": "python",
"repo": "samcooler/seraph",
"path": "/seraph_utils.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> distance_array = self.V*[sys.maxint]
distance_array[src] = 0
visited = self.V*[False]
for _ in xrange(self.V):
u = self.min_distance(distance_array, visited)
visited[u] = True
for j in xrange(self.V):
if self.graph[u][j] ... | code_fim | hard | {
"lang": "python",
"repo": "adwaraka/algorithms",
"path": "/dijkstra.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main():
g = Graph(9)
g.graph = [[0, 4, 0, 0, 0, 0, 0, 8, 0],
[4, 0, 8, 0, 0, 0, 0, 11, 0],
[0, 8, 0, 7, 0, 4, 0, 0, 2],
[0, 0, 7, 0, 9, 14, 0, 0, 0],
[0, 0, 0, 9, 0, 10, 0, 0, 0],
[0, 0, 4, 14, 10, 0, 2, 0, 0],
... | code_fim | hard | {
"lang": "python",
"repo": "adwaraka/algorithms",
"path": "/dijkstra.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: adwaraka/algorithms path: /dijkstra.py
import sys
class Graph():
def __init__(self, vertices):
self.V = vertices
self.graph = [[0 for column in range(vertices)]
for row in range(vertices)]
def min_distance(self, distance_array, visited):
min... | code_fim | hard | {
"lang": "python",
"repo": "adwaraka/algorithms",
"path": "/dijkstra.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JCPedroza/freeCodeCamp-coding-interview-prep-python path: /algorithms/no_repeats_please/permute_repeat.py
from itertools import permutations
def char_has_twin(index: int, string: str) -> bool:
<|fim_suffix|>def str_has_twins(string: str) -> bool:
return any(char_has_twin(index, string) for ... | code_fim | medium | {
"lang": "python",
"repo": "JCPedroza/freeCodeCamp-coding-interview-prep-python",
"path": "/algorithms/no_repeats_please/permute_repeat.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> perms_twins = (str_has_twins(perm) for perm in permutations(string))
perms_alone = filter(lambda perm: not perm, perms_twins)
return len(list(perms_alone))<|fim_prefix|># repo: JCPedroza/freeCodeCamp-coding-interview-prep-python path: /algorithms/no_repeats_please/permute_repeat.py
from itert... | code_fim | medium | {
"lang": "python",
"repo": "JCPedroza/freeCodeCamp-coding-interview-prep-python",
"path": "/algorithms/no_repeats_please/permute_repeat.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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