text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument("--input", "-i", type=str, required=True, help="input video file")
parser.add_argument("--output", "-o", type=str, required=True, help="output dir")
parser.add_argument("--interval"... | code_fim | medium | {
"lang": "python",
"repo": "nagadomi/nunif",
"path": "/iw3/training/extract_keyframes.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nagadomi/nunif path: /iw3/training/extract_keyframes.py
# tool to extract keyframe images from video
import argparse
import os
from os import path
from PIL import Image
from nunif.utils.video import process_video_keyframes
def main():
<|fim_suffix|> im = frame.to_image()
if args.... | code_fim | hard | {
"lang": "python",
"repo": "nagadomi/nunif",
"path": "/iw3/training/extract_keyframes.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lanerjo/learning_python path: /working_with_classes.py
class Shape:
def __init__(self,x,y):
self.x = x
self.y=y
self.description='there is no description yet'
self.author='nobody has claimed to make this shape yet'
def area(self):
... | code_fim | medium | {
"lang": "python",
"repo": "lanerjo/learning_python",
"path": "/working_with_classes.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def perimeter(self):
return 2*self.x +2*self.y
def describe(self,text):
self.description=text
def authorName(self,text):
self.author=text
def scaleSize(self,scale):
self.x=self.x * scale
self.y=self.y*scale
#let's Defi... | code_fim | medium | {
"lang": "python",
"repo": "lanerjo/learning_python",
"path": "/working_with_classes.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: maximka48/XIMG-EMBL path: /examples_public/CTF_tomo.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 22 16:34:02 2019
This is an example of a parallelised script that does:
- Flatfield correction with SSIM
- 4-distance CTF-reconstruction (incl. correction for shifts)
- Str... | code_fim | hard | {
"lang": "python",
"repo": "maximka48/XIMG-EMBL",
"path": "/examples_public/CTF_tomo.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
#read image and do ff-retrieval
filt = []
for i in np.arange(len(images)):
im = tifffile.imread(images[i][j + N_start-1])[ROI[1]:ROI[3], ROI[0]:ROI[2]]
im = im/ff[i][LoI[j,i]]
filt.append(im)
#... | code_fim | hard | {
"lang": "python",
"repo": "maximka48/XIMG-EMBL",
"path": "/examples_public/CTF_tomo.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>testdata = [
Contact(firstname="1",
middlename="2",
lastname=("lastname_" + str(now_time)),
nickname="4",
title="6",
company="7",
address="8",
hom... | code_fim | hard | {
"lang": "python",
"repo": "maximencia/python_traning",
"path": "/data/contact.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: maximencia/python_traning path: /data/contact.py
# -*- coding: utf-8 -*-
from model.contact import Contact
import datetime
<|fim_suffix|>testdata = [
Contact(firstname="1",
middlename="2",
lastname=("lastname_" + str(now_time)),
... | code_fim | hard | {
"lang": "python",
"repo": "maximencia/python_traning",
"path": "/data/contact.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zzattack/ccmaps-web path: /home/urls.py
from django.urls import *
from home.views im<|fim_suffix|>r'^contact$(?i)', contact, name='contact'),
]<|fim_middle|>port *
urlpatterns = [
re_path(r'^(?:index.*)?$(?i)', index, name='index'),
re_path( | code_fim | medium | {
"lang": "python",
"repo": "zzattack/ccmaps-web",
"path": "/home/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>x.*)?$(?i)', index, name='index'),
re_path(r'^contact$(?i)', contact, name='contact'),
]<|fim_prefix|># repo: zzattack/ccmaps-web path: /home/urls.py
from django.urls import *
from home.views im<|fim_middle|>port *
urlpatterns = [
re_path(r'^(?:inde | code_fim | easy | {
"lang": "python",
"repo": "zzattack/ccmaps-web",
"path": "/home/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def background_setting(self):
self.back_color ={
'gray': "background-color: rgb(229, 229, 229);",
'green': "background-color: rgb(0, 170, 0);",
'yellow': "background-color: rgb(0, 170, 0);",
'orange': "background-color: rgb(255, 85, 0);",
... | code_fim | hard | {
"lang": "python",
"repo": "LeeDaeil/PyQt5_study",
"path": "/Study_9/Study_9.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.back_color ={
'gray': "background-color: rgb(229, 229, 229);",
'green': "background-color: rgb(0, 170, 0);",
'yellow': "background-color: rgb(0, 170, 0);",
'orange': "background-color: rgb(255, 85, 0);",
'red': "background-color: rgb... | code_fim | medium | {
"lang": "python",
"repo": "LeeDaeil/PyQt5_study",
"path": "/Study_9/Study_9.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LeeDaeil/PyQt5_study path: /Study_9/Study_9.py
import sys
from PyQt5.QtWidgets import QDialog, QApplication
from ui_data.gui_study_9 import *
import Study_9_re_rc # resource file
class MyForm(QDialog):
def __init__(self):
super().__init__()
self.ui = Ui_Dialog()
self.... | code_fim | medium | {
"lang": "python",
"repo": "LeeDaeil/PyQt5_study",
"path": "/Study_9/Study_9.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print("")
print("usage: " + g_script_name + " --user username --pass password --sprint sprintname")
print("")
sys.exit(1)
def unknown_arg(s):
print("")
print("ERROR: Unknown argument: " + s)
print("")
usage()
def parse_config_file():
global g_user
global g_pass... | code_fim | hard | {
"lang": "python",
"repo": "mmalohlava/h2o-dev",
"path": "/scripts/jira.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mmalohlava/h2o-dev path: /scripts/jira.py
#!/usr/bin/python
import sys
import os
import requests
import urllib
import re
g_user = None
g_pass = None
g_sprint = None
g_csv = False
g_verbose = False
class Person:
def __init__(self, name):
self.name = name
self.resolved_list... | code_fim | hard | {
"lang": "python",
"repo": "mmalohlava/h2o-dev",
"path": "/scripts/jira.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: runzezhang/MOOCs path: /Udemy/REST-Django-VueJS/C4/04-DRF-LEVEL-TWO/quotesapi/quotes/models.py
from django.db import models
class Quote(models.Model):
<|fim_suffix|> def __str__(self):
return self.quote_author<|fim_middle|> quote_author = models.CharField(max_length=50)
quote_... | code_fim | hard | {
"lang": "python",
"repo": "runzezhang/MOOCs",
"path": "/Udemy/REST-Django-VueJS/C4/04-DRF-LEVEL-TWO/quotesapi/quotes/models.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __str__(self):
return self.quote_author<|fim_prefix|># repo: runzezhang/MOOCs path: /Udemy/REST-Django-VueJS/C4/04-DRF-LEVEL-TWO/quotesapi/quotes/models.py
from django.db import models
class Quote(models.Model):
<|fim_middle|> quote_author = models.CharField(max_length=50)
quote_... | code_fim | hard | {
"lang": "python",
"repo": "runzezhang/MOOCs",
"path": "/Udemy/REST-Django-VueJS/C4/04-DRF-LEVEL-TWO/quotesapi/quotes/models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Padge91/postgres-web-gui path: /app.py
from flask import Flask, jsonify, request
from CrudApp.CrudApp import app as crudapp
from AuthApp.AuthA<|fim_suffix|>Flask(__name__)
app.register_blueprint(crudapp, url_prefix="/")
app.register_blueprint(authapp, url_prefix="/auth")
app.register_blueprint(co... | code_fim | medium | {
"lang": "python",
"repo": "Padge91/postgres-web-gui",
"path": "/app.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>Flask(__name__)
app.register_blueprint(crudapp, url_prefix="/")
app.register_blueprint(authapp, url_prefix="/auth")
app.register_blueprint(commonapp, url_prefix="/static")
app.run(host="0.0.0.0", port=8080)<|fim_prefix|># repo: Padge91/postgres-web-gui path: /app.py
from flask import Flask, jsonify, re... | code_fim | medium | {
"lang": "python",
"repo": "Padge91/postgres-web-gui",
"path": "/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rfong/rc-sandbox path: /crdt/crdt-py/simple/pubsub.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# A simple pub/sub.
import logging
from collections import namedtuple
from typing import Callable
<|fim_suffix|> '''Publish an update to all subscribed listeners.'''
logger.info(... | code_fim | medium | {
"lang": "python",
"repo": "rfong/rc-sandbox",
"path": "/crdt/crdt-py/simple/pubsub.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''Subscribe a listener function.'''
self.listeners.append(listener)
if __name__ == "__main__":
'''Quick test'''
def listener1(x=None):
print("#1 received x:", x)
def listener2(**kwargs):
print("#2 received:", kwargs)
pubsub = PubSub()
pubsub.publish(... | code_fim | hard | {
"lang": "python",
"repo": "rfong/rc-sandbox",
"path": "/crdt/crdt-py/simple/pubsub.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> pubsub.subscribe(listener1)
pubsub.publish(x=2)
pubsub.subscribe(listener2)
pubsub.publish(x=3)
pubsub.subscribe(listener2)
pubsub.publish(apple="banana") # listener1 can't deal w/ it. that's fine<|fim_prefix|># repo: rfong/rc-sandbox path: /crdt/crdt-py/simple/pubsub.py
#!/usr... | code_fim | medium | {
"lang": "python",
"repo": "rfong/rc-sandbox",
"path": "/crdt/crdt-py/simple/pubsub.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: prometheusloong/giraffe-sv-paper path: /scripts/plotting/plot_real_speed.py
import json
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.patches as mplpatches
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
from sklearn.linear_model import LinearRegression
import arg... | code_fim | hard | {
"lang": "python",
"repo": "prometheusloong/giraffe-sv-paper",
"path": "/scripts/plotting/plot_real_speed.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #plt.show()
plt.savefig(graph_name + "_" + stat_name+"_"+read_name+"_plot.svg", dpi=400)
def main():
parser = argparse.ArgumentParser(description="Plot stats from a tsv file (named speed_report_[reads].tsv) that is formatted:\
graph algorithm reads pairing speed total_wall_clo... | code_fim | hard | {
"lang": "python",
"repo": "prometheusloong/giraffe-sv-paper",
"path": "/scripts/plotting/plot_real_speed.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sideeffects/stats_core path: /stats_main/urls.py
import settings
try:
from django.conf.urls import patterns, include, url
except ImportError:
from django.conf.urls.defaults import patterns, include, url
<|fim_suffix|> # This is the generic view for new-style reports.
url(r... | code_fim | hard | {
"lang": "python",
"repo": "sideeffects/stats_core",
"path": "/stats_main/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if settings.IS_LOGGING_SERVER:
urlpatterns += patterns('stats_main.api',
# API for non-browser-based interaction.
url(r'^api$', 'api_view', name='api'),
)<|fim_prefix|># repo: sideeffects/stats_core path: /stats_main/urls.py
import settings
try:
from django.conf.urls import pa... | code_fim | hard | {
"lang": "python",
"repo": "sideeffects/stats_core",
"path": "/stats_main/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: monotropauniflora/PartSeg path: /package/PartSeg/segmentation_mask/main_window.py
AddFiles
from ..common_gui.stack_image_view import ColorBar
from ..common_gui.universal_gui_part import right_label
from ..common_gui.waiting_dialog import ExecuteFunctionDialog
from ..segmentation_mask.segmentatio... | code_fim | hard | {
"lang": "python",
"repo": "monotropauniflora/PartSeg",
"path": "/package/PartSeg/segmentation_mask/main_window.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.settings.set("io.save_components_directory", os.path.dirname(str(res.save_destination)))
self.settings.add_path_history(os.path.dirname(str(res.save_destination)))
def exception_hook(exception):
QMessageBox.critical(self, "Save error", f"Error on disc operation. T... | code_fim | hard | {
"lang": "python",
"repo": "monotropauniflora/PartSeg",
"path": "/package/PartSeg/segmentation_mask/main_window.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: monotropauniflora/PartSeg path: /package/PartSeg/segmentation_mask/main_window.py
self.un_check_all_btn = QPushButton("Unselect all")
self.un_check_all_btn.clicked.connect(self.un_check_all)
main_layout = QVBoxLayout()
btn_layout = QHBoxLayout()
btn_layout.... | code_fim | hard | {
"lang": "python",
"repo": "monotropauniflora/PartSeg",
"path": "/package/PartSeg/segmentation_mask/main_window.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gregarendse/adventofcode path: /2022/01/main.py
#!/bin/python
from sys import argv
from typing import List
def read_file(file: str) -> List[str]:
with open(file, 'r') as file:
elves = file.read().split('\n\n')
return elves
<|fim_suffix|> calories: List[int] = calculate_c... | code_fim | hard | {
"lang": "python",
"repo": "gregarendse/adventofcode",
"path": "/2022/01/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print("Part One: {}".format(part_one(argv[1])))
print("Part Two: {}".format(part_two(argv[1])))
if __name__ == '__main__':
main()<|fim_prefix|># repo: gregarendse/adventofcode path: /2022/01/main.py
#!/bin/python
from sys import argv
from typing import List
def read_file(file: str) -> Lis... | code_fim | medium | {
"lang": "python",
"repo": "gregarendse/adventofcode",
"path": "/2022/01/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def stealth_connection(self):
print 'starting stealth_connection'
for port in self.port_list:
port = int(port)
resp = sr1(IP(dst=self.dst_ip) / TCP(sport=self.src_port, dport=port, flags="S"), timeout=self.timeout,
verbose=0)
i... | code_fim | hard | {
"lang": "python",
"repo": "talp101/Scanning-tool",
"path": "/Scanner/Scanner.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: talp101/Scanning-tool path: /Scanner/Scanner.py
import timeit
from scapy.layers.inet import TCP, IP, ICMP, UDP
__author__ = 'tal'
import logging
logging.getLogger("scapy.runtime").setLevel(logging.ERROR)
from scapy.all import *
import socket
class Scanner():
def __init__(self, dst_ip, src... | code_fim | hard | {
"lang": "python",
"repo": "talp101/Scanning-tool",
"path": "/Scanner/Scanner.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 9999years/brandeis-classes path: /test/test_brandeis.py
from bs4 import BeautifulSoup
from brandeis_classes import brandeis
def read(fname, mode="r", encoding="utf-8"):
with open(fname, mode, encoding=encoding) as f:
return f.read()
<|fim_suffix|>
def test_tr_to_course():
tr =... | code_fim | medium | {
"lang": "python",
"repo": "9999years/brandeis-classes",
"path": "/test/test_brandeis.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> tr = tr_to_soup(read("test-data/cosi_119a_1.html"))
crs = brandeis.tr_to_course(tr, request_description=False)
assert crs.friendly_number == "COSI 119A_1"
assert crs.uni_reqs_str == "[sn]"
assert crs.name == "Autonomous Robotics Lab"
assert crs.class_number == 16905
assert crs.... | code_fim | medium | {
"lang": "python",
"repo": "9999years/brandeis-classes",
"path": "/test/test_brandeis.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def self_test(self):
print("self_test")
# type(名, (父类,), {属性, 方法}
TT = type("TT", (object,), {'class_attr': 'test', 'class_test': class_test, 'static_test': static_test,
'self_test': self_test})
help(TT)
# TT.class_test() # class_test
# TT.static_test() # static_te... | code_fim | medium | {
"lang": "python",
"repo": "rehth/test",
"path": "/Pycharm/网络通信/python17_07/元类.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rehth/test path: /Pycharm/网络通信/python17_07/元类.py
# 元类 type
# 使用 元类创建一个类
@classmethod
def class_test(cls):
print('class_test')
@staticmethod
def static_test():
<|fim_suffix|>TT = type("TT", (object,), {'class_attr': 'test', 'class_test': class_test, 'static_test': static_test,
... | code_fim | medium | {
"lang": "python",
"repo": "rehth/test",
"path": "/Pycharm/网络通信/python17_07/元类.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bionicles/neuromax path: /nature/bricks/dense.py
import tensorflow as tf
import random
from tools import pipe
import nature
L = tf.keras.layers
LAYER_FN = [nature.Attention, nature.SWAG, nature.NoiseDrop, nature.Conv1D]
UNITS = [1, 2, 4, 8, 16, 32]
LAYERS = [1, 2, 3, 4]
<|fim_suffix|> @tf.f... | code_fim | hard | {
"lang": "python",
"repo": "bionicles/neuromax",
"path": "/nature/bricks/dense.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, AI, layer_fn=LAYER_FN):
super().__init__()
n_layers = AI.pull("dense_n_layers", LAYERS)
units = AI.pull("dense_units", UNITS)
self.d_increase = units * n_layers
self.concat = L.Concatenate(-1)
self.layers = []
for n in range(n_... | code_fim | medium | {
"lang": "python",
"repo": "bionicles/neuromax",
"path": "/nature/bricks/dense.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.mox.StubOutWithMock(utils, 'execute')
initiator = 'fake.initiator.iqn'
rval = ("junk\nInitiatorName=%s\njunk\n" % initiator, None)
utils.execute('cat', '/etc/iscsi/initiatorname.iscsi',
run_as_root=True).AndReturn(rval)
# Start test
... | code_fim | medium | {
"lang": "python",
"repo": "projectcalico/calico-nova",
"path": "/nova/tests/unit/virt/test_volumeutils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.mox.StubOutWithMock(utils, 'execute')
file_path = '/etc/iscsi/initiatorname.iscsi'
utils.execute('cat', file_path, run_as_root=True).AndRaise(
exception.FileNotFound(file_path=file_path)
)
# Start test
self.mox.ReplayAll()
result = v... | code_fim | hard | {
"lang": "python",
"repo": "projectcalico/calico-nova",
"path": "/nova/tests/unit/virt/test_volumeutils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: projectcalico/calico-nova path: /nova/tests/unit/virt/test_volumeutils.py
# Copyright 2014 Hewlett-Packard Development Company, L.P.
# Copyright 2012 University Of Minho
# Copyright 2010 OpenStack Foundation
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not u... | code_fim | hard | {
"lang": "python",
"repo": "projectcalico/calico-nova",
"path": "/nova/tests/unit/virt/test_volumeutils.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: petepall/flask_social_network path: /flaskblog/__init__.py
import flask
import flask_bcrypt
import flask_login
import flask_mail
import flask_sqlalchemy as flask_sqa
import flaskblog.config as flaskblog_cf
db = flask_sqa.SQLAlchemy()
bcrypt = flask_bcrypt.Bcrypt()
login_manager = flask_login.Lo... | code_fim | medium | {
"lang": "python",
"repo": "petepall/flask_social_network",
"path": "/flaskblog/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> app.register_blueprint(flaskblog_user_ctrl.users)
app.register_blueprint(flaskblog_post_ctrl.posts)
app.register_blueprint(flaskblog_general_ctrl.main)
app.register_blueprint(flaskblog_error_ctrl.errors)
return app<|fim_prefix|># repo: petepall/flask_social_network path: /flaskblog/_... | code_fim | hard | {
"lang": "python",
"repo": "petepall/flask_social_network",
"path": "/flaskblog/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MichaelMMeskhi/openml-python path: /openml/tasks/task.py
import io
import os
from .. import datasets
from .split import OpenMLSplit
import openml._api_calls
from ..utils import _create_cache_directory_for_id, _tag_entity
class OpenMLTask(object):
def __init__(self, task_id, task_type_id, t... | code_fim | hard | {
"lang": "python",
"repo": "MichaelMMeskhi/openml-python",
"path": "/openml/tasks/task.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> estimation_procedure_type, estimation_parameters,
evaluation_measure, target_name, data_splits_url,
class_labels=None, cost_matrix=None):
super(OpenMLLearningCurveTask, self).__init__(
task_id=task_id,
task_type_id=task_typ... | code_fim | hard | {
"lang": "python",
"repo": "MichaelMMeskhi/openml-python",
"path": "/openml/tasks/task.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, task_id, task_type_id, task_type, data_set_id,
estimation_procedure_type, estimation_parameters,
evaluation_measure, target_name, data_splits_url):
super(OpenMLSupervisedTask, self).__init__(
task_id=task_id,
task_typ... | code_fim | hard | {
"lang": "python",
"repo": "MichaelMMeskhi/openml-python",
"path": "/openml/tasks/task.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> fromsq = Square('b7')
self.board = self.board.replace(fromsq, self.pawn)
self.assertFalse(self.pawn.attacks(fromsq, Square('b8'), self.board))
self.assertTrue(self.pawn.attacks(fromsq, Square('c8'), self.board))
def test_plmoves(self):
fromsq = Square('b7')
... | code_fim | hard | {
"lang": "python",
"repo": "megatron0000/ces22-xadrez",
"path": "/chessengine_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: megatron0000/ces22-xadrez path: /chessengine_test.py
fBoundsPiece(), OutOfBoundsPiece(),
OutOfBoundsPiece(), OutOfBoundsPiece(), OutOfBoundsPiece(),
OutOfBoundsPiece(), OutOfBoundsPiece(), OutOfBoundsPiece(), OutOfBoundsPiece(),
OutOfBoundsPiece(), OutOfBoundsPiece(), OutO... | code_fim | hard | {
"lang": "python",
"repo": "megatron0000/ces22-xadrez",
"path": "/chessengine_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_exec(self):
self.board = self.board.replace(Square('e1'), King(Side.WHITE)) \
.replace(Square('a1'), Rook(Side.WHITE))
antimove = self.executor.exec(
Move(Square('e1'), Square('c1'), MoveKind.CASTLE_QUEEN, None),
self.board._movepiece, self.... | code_fim | hard | {
"lang": "python",
"repo": "megatron0000/ces22-xadrez",
"path": "/chessengine_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># 1: A basic bezier path filled with a color
pt = BezierPath(fill=(1,0,0))
pt.rect(0, 0, 42, 42)
pt.draw()
flow()
# 2: Using the transform bezier path method should copy color
trans = Transform()
trans.translate(50, 0)
pt2 = trans.transformBezierPath(pt)
pt2.draw()
flow()<|fim_prefix|># repo: karstenw/no... | code_fim | hard | {
"lang": "python",
"repo": "karstenw/nodebox-pyobjc",
"path": "/nodebox/tests/graphics/005-path.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: karstenw/nodebox-pyobjc path: /nodebox/tests/graphics/005-path.py
# Path semantics
size(300, 300)
_total_w = 0
_counter = 1
def flow(w=50, h=70):
global _total_w
global _counter
text(_counter, 17, 60, fontsize=12, fill=0)
_counter += 1
if _total_w + w*2 >= WIDTH:
tra... | code_fim | medium | {
"lang": "python",
"repo": "karstenw/nodebox-pyobjc",
"path": "/nodebox/tests/graphics/005-path.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if max_size is not None and max_size > 0:
query = {'size': max_size, 'query': {'bool': bool_body}}
else:
query = {'query': {'bool': bool_body}}
return query
def get_strings(
self,
size: Union[int, Tuple[int, int]],
feature: Union... | code_fim | hard | {
"lang": "python",
"repo": "edponce/FACET",
"path": "/facet/matcher/elasticsearch.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: edponce/FACET path: /facet/matcher/elasticsearch.py
from .base import BaseMatcher
from .base_simstring import BaseSimstring
from ..database import ElasticsearchDatabase
from typing import (
Any,
List,
Dict,
Tuple,
Union,
Iterable,
)
__all__ = [
'ElasticsearchSimstrin... | code_fim | hard | {
"lang": "python",
"repo": "edponce/FACET",
"path": "/facet/matcher/elasticsearch.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> query = {'sort': [{'_score': 'desc'}]} if rank else {}
query.update({'query': query_body})
return query
def insert(self, string: str):
self._db.set({'term': string})
def search(
self,
string: str,
**kwargs,
) -> Union[List[Tuple[str, fl... | code_fim | hard | {
"lang": "python",
"repo": "edponce/FACET",
"path": "/facet/matcher/elasticsearch.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: USEPA/flowsa path: /flowsa/data_source_scripts/Blackhurst_IO.py
# Blackhurst_IO.py (scripts)
# !/usr/bin/env python3
# coding=utf-8
"""
Scrapes data from Blackhurst paper 'Direct and Indirect Water Withdrawals
for US Industrial Sectors' (Supplemental info)
Includes supporting functions for Blackh... | code_fim | hard | {
"lang": "python",
"repo": "USEPA/flowsa",
"path": "/flowsa/data_source_scripts/Blackhurst_IO.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return df_wratio
def scale_blackhurst_results_to_usgs_values(
df_load, attr, download_FBA_if_missing):
"""
Scale the initial estimates for Blackhurst-based mining estimates to
USGS values. Oil-based sectors are allocated a larger percentage of the
difference between initial ... | code_fim | hard | {
"lang": "python",
"repo": "USEPA/flowsa",
"path": "/flowsa/data_source_scripts/Blackhurst_IO.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> _location_path = "etf"
def __init__(self):
super().__init__()
self.candle = lib.stocks_helper.display_candle
self.compare = lib.etf_stockanalysis_model.compare_etfs
self.etf_by_category = lib.etf_financedatabase_model.get_etfs_by_category
self.etf_by_name =... | code_fim | hard | {
"lang": "python",
"repo": "conrad-strughold/GamestonkTerminal",
"path": "/openbb_terminal/core/sdk/models/etf_sdk_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: conrad-strughold/GamestonkTerminal path: /openbb_terminal/core/sdk/models/etf_sdk_model.py
# ######### THIS FILE IS AUTO GENERATED - ANY CHANGES WILL BE VOID ######### #
# flake8: noqa
# pylint: disable=C0301,R0902,R0903
from openbb_terminal.core.sdk.sdk_helpers import Category
import openbb_term... | code_fim | hard | {
"lang": "python",
"repo": "conrad-strughold/GamestonkTerminal",
"path": "/openbb_terminal/core/sdk/models/etf_sdk_model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class EtfDiscovery(Category):
"""Discovery Module.
Attributes:
`mover`: Scrape data for top etf movers.\n
"""
_location_path = "etf.disc"
def __init__(self):
super().__init__()
self.mover = lib.etf_disc_wsj_model.etf_movers<|fim_prefix|># repo: conrad-strugh... | code_fim | hard | {
"lang": "python",
"repo": "conrad-strughold/GamestonkTerminal",
"path": "/openbb_terminal/core/sdk/models/etf_sdk_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> indexes = cv2.dnn.NMSBoxes(boxes, confidences, threshold, nms_threshold)
# set font and other settings
font = cv2.FONT_HERSHEY_PLAIN
rec_width = 1
txt_height = 1
text_width = 1
for i in range(len(boxes)):
if i in indexes:
x, y, w, h = boxes[i]
... | code_fim | hard | {
"lang": "python",
"repo": "Phantomias3782/AutonomousCar",
"path": "/main/object_detection/object_detection.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Phantomias3782/AutonomousCar path: /main/object_detection/object_detection.py
import cv2
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mping
import time
import imutils
import os
focalLength = None
def load_custom_names():
"load names of custom text file"
... | code_fim | hard | {
"lang": "python",
"repo": "Phantomias3782/AutonomousCar",
"path": "/main/object_detection/object_detection.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def calculate_distance(image, object_width):
"get image and calculate distance to object"
# set marker attributes
marker_width = 16
marker_distance = 50
# check if calibration is done
if focalLength != None:
# calcuate distance
distance = round((marker_width * fo... | code_fim | hard | {
"lang": "python",
"repo": "Phantomias3782/AutonomousCar",
"path": "/main/object_detection/object_detection.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Name = models.CharField(max_length=40)
Phone = models.IntegerField()
Lab_Number = models.IntegerField()
report = models.FileField(upload_to='LabReport/media/')<|fim_prefix|># repo: dpkrobomad/Covid-19_Lab_Report_Plugin path: /app/models.py
from django.db import models
from LabReport.setti... | code_fim | easy | {
"lang": "python",
"repo": "dpkrobomad/Covid-19_Lab_Report_Plugin",
"path": "/app/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dpkrobomad/Covid-19_Lab_Report_Plugin path: /app/models.py
from django.db import models
from LabReport.settings import BASE_DIR
# Create your models here.
<|fim_suffix|> Name = models.CharField(max_length=40)
Phone = models.IntegerField()
Lab_Number = models.IntegerField()
repor... | code_fim | easy | {
"lang": "python",
"repo": "dpkrobomad/Covid-19_Lab_Report_Plugin",
"path": "/app/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 1st1/edgedb path: /edb/lang/ir/inference/cardinality.py
#
# This source file is part of the EdgeDB open source project.
#
# Copyright 2008-present MagicStack Inc. and the EdgeDB authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in comp... | code_fim | hard | {
"lang": "python",
"repo": "1st1/edgedb",
"path": "/edb/lang/ir/inference/cardinality.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>@_infer_cardinality.register(irast.Statement)
def __infer_statement(ir, scope_tree, schema):
return infer_cardinality(ir.expr, scope_tree, schema)
@_infer_cardinality.register(irast.EmptySet)
def __infer_emptyset(ir, scope_tree, schema):
return ONE
@_infer_cardinality.register(irast.TypeRef)
d... | code_fim | hard | {
"lang": "python",
"repo": "1st1/edgedb",
"path": "/edb/lang/ir/inference/cardinality.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if log_file:
log_file.parent.mkdir(parents=True, exist_ok=True)
fh = logging.handlers.TimedRotatingFileHandler(log_file, when='D', interval=1, backupCount=30)
fh.setLevel(log_level)
fh.setFormatter(formatter)
self.logger.addHandler(fh)
... | code_fim | hard | {
"lang": "python",
"repo": "shanhaiying/MemoryTools",
"path": "/memorytools/tools/logger.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>logger = Logger(log_file=Path("log/memorytools.log")).get_logger()
if __name__ == '__main__':
# logger = Logger().get_logger()
logger.debug("debug msg")
logger.info('info msg')
logger.warning('warn msg')
logger.error('error msg')
logger.critical('critical msg')<|fim_prefix|># repo... | code_fim | hard | {
"lang": "python",
"repo": "shanhaiying/MemoryTools",
"path": "/memorytools/tools/logger.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shanhaiying/MemoryTools path: /memorytools/tools/logger.py
# -*- coding: utf-8 -*-
"""
@file: logger
@author: Memory
@date: 2020/10/11
@description: 自定义一个日志生成器
"""
import logging
import logging.handlers
from sys import stdout
from pathlib import Path
<|fim_suffix|>logger = Logger(log_file=Path(... | code_fim | hard | {
"lang": "python",
"repo": "shanhaiying/MemoryTools",
"path": "/memorytools/tools/logger.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dirkbo/bunq_auto_topdown path: /auto_topdown.py
#!/usr/bin/env .venv/bin/python -W ignore
import argparse
from libs.bunq_lib import BunqLib
from share_lib import ShareLib
from bunq.sdk.context import ApiEnvironmentType
from decimal import Decimal
from bunq.sdk.model.generated.endpoint imp... | code_fim | hard | {
"lang": "python",
"repo": "dirkbo/bunq_auto_topdown",
"path": "/auto_topdown.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if account_a is not None and account_b_id is not None:
a_balance = Decimal(account_a.balance.value)
print("Balance (%s): %s of Max %s" % (account_a.id_, a_balance, max_value))
if account_a.balance.currency != account_b.balance.currency:
print("Auto Top-Down not ... | code_fim | hard | {
"lang": "python",
"repo": "dirkbo/bunq_auto_topdown",
"path": "/auto_topdown.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lxypeter/price-monitor path: /run.py
# -*- coding: utf-8 -*-
'''
run the server
'''
__author__ = 'CY Lee'
<|fim_suffix|>if __name__ == '__main__':
APP = create_app()
APP.run(use_reloader=False)<|fim_middle|>from price_monitor.factory import create_app
| code_fim | easy | {
"lang": "python",
"repo": "lxypeter/price-monitor",
"path": "/run.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>from price_monitor.factory import create_app
if __name__ == '__main__':
APP = create_app()
APP.run(use_reloader=False)<|fim_prefix|># repo: lxypeter/price-monitor path: /run.py
# -*- coding: utf-8 -*-
<|fim_middle|>'''
run the server
'''
__author__ = 'CY Lee'
| code_fim | easy | {
"lang": "python",
"repo": "lxypeter/price-monitor",
"path": "/run.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lxypeter/price-monitor path: /run.py
# -*- coding: utf-8 -*-
'''
run the server
'''
<|fim_suffix|>if __name__ == '__main__':
APP = create_app()
APP.run(use_reloader=False)<|fim_middle|>__author__ = 'CY Lee'
from price_monitor.factory import create_app
| code_fim | medium | {
"lang": "python",
"repo": "lxypeter/price-monitor",
"path": "/run.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kim-jane/NuclearManyBody path: /src/tools/display.py
import pandas as pd
def display_hamiltonian(H):
print("Hamiltonian:")
for i in range(H.shape[0]):
print("[", end="")
for j in range(H.shape[1]):
print("{: 10.5f}".format(H[i,j]), end="")
print("]")
... | code_fim | hard | {
"lang": "python",
"repo": "kim-jane/NuclearManyBody",
"path": "/src/tools/display.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
print("Many-body states:")
print(pd.DataFrame(mb_states, columns=labels))
print("\n")<|fim_prefix|># repo: kim-jane/NuclearManyBody path: /src/tools/display.py
import pandas as pd
def display_hamiltonian(H):
print("Hamiltonian:")
for i in range(H.shape[0]):
print("[", end="... | code_fim | medium | {
"lang": "python",
"repo": "kim-jane/NuclearManyBody",
"path": "/src/tools/display.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print("Many-body states:")
print(pd.DataFrame(mb_states, columns=labels))
print("\n")<|fim_prefix|># repo: kim-jane/NuclearManyBody path: /src/tools/display.py
import pandas as pd
def display_hamiltonian(H):
print("Hamiltonian:")
for i in range(H.shape[0]):
print("[", end=""... | code_fim | hard | {
"lang": "python",
"repo": "kim-jane/NuclearManyBody",
"path": "/src/tools/display.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BKPrecisionCorp/894-and-895_Series path: /Python 3/894_5_sweep.py
import time
import visa
rm=visa.ResourceManager()
li=rm.list_resources()
for index in range(len(li)):
print(str(index)+" - "+li[index])
choice = input("Which device?: ")
vi=rm.open_resource(li[int(choice)])
vi.timeout =... | code_fim | hard | {
"lang": "python",
"repo": "BKPrecisionCorp/894-and-895_Series",
"path": "/Python 3/894_5_sweep.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>print("Function - ",vi.query("func:imp?"))
for i in range(int(points)):
freq = int(start) + int(step)*i
cmd = "freq "+str(freq)
vi.write(cmd)
resp = str(freq)+","+vi.query("fetch?")
print(resp)<|fim_prefix|># repo: BKPrecisionCorp/894-and-895_Series path: /Python 3/894_5_sweep.... | code_fim | medium | {
"lang": "python",
"repo": "BKPrecisionCorp/894-and-895_Series",
"path": "/Python 3/894_5_sweep.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>if (start + points*step) > 1000000:
print("Frequency step and points too large (start + step*points) > 1000000 - exiting (sorry)")
exit()
print("Function - ",vi.query("func:imp?"))
for i in range(int(points)):
freq = int(start) + int(step)*i
cmd = "freq "+str(freq)
vi.write(cm... | code_fim | hard | {
"lang": "python",
"repo": "BKPrecisionCorp/894-and-895_Series",
"path": "/Python 3/894_5_sweep.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: isabella232/python-kustomize path: /tests/fixtures/dataclasses_/python/kustomization.py
from dataclasses import dataclass
from typing import List
<|fim_suffix|>
kustomization = MyKustomization(
commonLabels=CommonLabels(app='hello'),
resources=[
'deployment',
'service',
... | code_fim | medium | {
"lang": "python",
"repo": "isabella232/python-kustomize",
"path": "/tests/fixtures/dataclasses_/python/kustomization.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>kustomization = MyKustomization(
commonLabels=CommonLabels(app='hello'),
resources=[
'deployment',
'service',
'configMap',
],
)<|fim_prefix|># repo: isabella232/python-kustomize path: /tests/fixtures/dataclasses_/python/kustomization.py
from dataclasses import dataclas... | code_fim | easy | {
"lang": "python",
"repo": "isabella232/python-kustomize",
"path": "/tests/fixtures/dataclasses_/python/kustomization.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shahjalalh/image_search_layer path: /imagesearch_app/migrations/0001_initial.py
# -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2017-09-15 11:22
from __future__ import unicode_literals
from django.db import migrations, models
<|fim_suffix|> initial = True
dependencies = [
]
... | code_fim | hard | {
"lang": "python",
"repo": "shahjalalh/image_search_layer",
"path": "/imagesearch_app/migrations/0001_initial.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
]
operations = [
migrations.CreateModel(
name='Image',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('url', models.URLField(max_length=255)),
... | code_fim | hard | {
"lang": "python",
"repo": "shahjalalh/image_search_layer",
"path": "/imagesearch_app/migrations/0001_initial.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: serkanh/uberlearner path: /uberlearner/courses/sitemaps.py
from django.contrib.sitemaps import Sitemap
class CoursesSitemap(Sitemap):
priority = 0.6
def items(self):
<|fim_suffix|> def lastmod(self, course):
return course.last_modified<|fim_middle|> from courses.models... | code_fim | medium | {
"lang": "python",
"repo": "serkanh/uberlearner",
"path": "/uberlearner/courses/sitemaps.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return course.last_modified<|fim_prefix|># repo: serkanh/uberlearner path: /uberlearner/courses/sitemaps.py
from django.contrib.sitemaps import Sitemap
class CoursesSitemap(Sitemap):
priority = 0.6
def items(self):
from courses.models import Course
return Course.objects.... | code_fim | easy | {
"lang": "python",
"repo": "serkanh/uberlearner",
"path": "/uberlearner/courses/sitemaps.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # This funcion calls the K_Means algorithm multiple times to find the best converged
# cluster centers
cluster_centers = []; better_mu = {}
for _ in range(int(len(X)/2)):
# We use this loop to create multiple sets of cluster centers
rand_mu = mu_generator(X, K)
clu... | code_fim | hard | {
"lang": "python",
"repo": "saberzuko/MachineLearningAlgorithms",
"path": "/KMeansClustering/clustering.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: saberzuko/MachineLearningAlgorithms path: /KMeansClustering/clustering.py
import numpy as np
from scipy.spatial import distance
import random
def mu_generator(X, K):
# Function to initialize the cluster centers
# The input is the training data X and the number of cluster centers
mu =... | code_fim | hard | {
"lang": "python",
"repo": "saberzuko/MachineLearningAlgorithms",
"path": "/KMeansClustering/clustering.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for row in X:
least_dist = float("inf"); cluster_idx = None
for idx in range(len(mu)):
# Computing the eucledian distance between the sample and the cluster centers
euclid_dist = distance.euclidean(row, mu[idx])
# Finding the least distance between t... | code_fim | hard | {
"lang": "python",
"repo": "saberzuko/MachineLearningAlgorithms",
"path": "/KMeansClustering/clustering.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _parse(self):
"""
The main part of the program. It analyzes the given code-text and
returns a tree-like scope. For a more detailed description, see the
class description.
:param text: The code which should be parsed.
:param type: str
:raise... | code_fim | hard | {
"lang": "python",
"repo": "tobywaite/dotfiles",
"path": "/home/.config/nvim/bundle/jedi-vim/jedi/jedi/parsing.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tobywaite/dotfiles path: /home/.config/nvim/bundle/jedi-vim/jedi/jedi/parsing.py
token_type, tok = self.next()
if token_type != tokenize.NAME and tok != '*':
return [], token_type, tok
else:
token_type, tok = pre_used_token
if to... | code_fim | hard | {
"lang": "python",
"repo": "tobywaite/dotfiles",
"path": "/home/.config/nvim/bundle/jedi-vim/jedi/jedi/parsing.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ukaana99/nhk2015_back_ros path: /robominton/scripts/third.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Created on 2015/02/11
@author: spiralray
'''
import shuttle
import numpy as np
import copy
import sys
import roslib
import rospy
import std_msgs.msg
from geometry_msgs.msg import P... | code_fim | hard | {
"lang": "python",
"repo": "ukaana99/nhk2015_back_ros",
"path": "/robominton/scripts/third.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> pointPub.publish(msg)
#print msg.header.stamp.to_sec()
return
k.predict(0.01)
publishHome()
def poseCallback(msg):
global pose
pose = msg.pose
def modeCallback(msg):
global mode
mode = msg.data
def shuttleCallback(msg):
global time
... | code_fim | hard | {
"lang": "python",
"repo": "ukaana99/nhk2015_back_ros",
"path": "/robominton/scripts/third.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LibreOffice/impress_remote path: /pebble/libpebble/pebble.py
#!/usr/bin/env python
import binascii
import glob
import itertools
import json
import logging
import os
import serial
import signal
import stm32_crc
import struct
import threading
import time
import traceback
import uuid
import zipfile... | code_fim | hard | {
"lang": "python",
"repo": "LibreOffice/impress_remote",
"path": "/pebble/libpebble/pebble.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _application_message_response(self, endpoint, data):
app_messages = {
b'\x01': "PUSH",
b'\x02': "REQUEST",
b'\xFF': "ACK",
b'\x7F': "NACK"
}
if len(data) > 1:
rest = data[1:]
else:
rest = ''
if data[0] in app_messages:
return app_messages[data[0]] + rest
def _phone_... | code_fim | hard | {
"lang": "python",
"repo": "LibreOffice/impress_remote",
"path": "/pebble/libpebble/pebble.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> data = pack("!bIbb", 1, len(self._buffer), self._transfer_type, self._index)
self._pebble._send_message("PUTBYTES", data)
self._state = self.states["WAIT_FOR_TOKEN"]
def wait_for_token(self, resp):
res, = unpack("!b", resp[0])
if res != 1:
log.error("init failed with code %d" % res)
self... | code_fim | hard | {
"lang": "python",
"repo": "LibreOffice/impress_remote",
"path": "/pebble/libpebble/pebble.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: luminousflux/lflux path: /lfluxproject/tests/test_basics.py
from django.test.client import Client
from django.test import TestCase
from lstory.models import Story
from datetime import datetime
import reversion
<|fim_suffix|> def test_story_creation(self):
client = Client()
wi... | code_fim | medium | {
"lang": "python",
"repo": "luminousflux/lflux",
"path": "/lfluxproject/tests/test_basics.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> client = Client()
with reversion.create_revision():
Story.objects.create(published=datetime.now(), body='roflcopter', summary='roflcopter', title='roflcopter',slug='roflcopter',name='roflcopter')
responses = [client.get('/roflcopter/'),client.get('/roflcopter/embed/')]
... | code_fim | medium | {
"lang": "python",
"repo": "luminousflux/lflux",
"path": "/lfluxproject/tests/test_basics.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>Shelf = enum_type_wrapper.EnumTypeWrapper(_SHELF)
GENERIC_SHELF = 0
ECONOMY = 1
MIDSHELF = 2
TOPSHELF = 3
DESCRIPTOR.enum_types_by_name['Shelf'] = _SHELF
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(... | code_fim | hard | {
"lang": "python",
"repo": "fagan2888/Python",
"path": "/src/bloombox/schema/structs/Shelf_pb2.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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