text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> n_critic = 5
num_steps = 100
with tf.train.MonitoredSession() as sess:
for i in range(num_steps):
print("step %d" % i)
if i % (n_critic + 1) == 0:
sess.run(train_g_op)
else:
sess.run(train_f_op)<|fim_prefix|># repo: lq... | code_fim | hard | {
"lang": "python",
"repo": "lqian/Cycle-W-GAN",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
inputs = train_input_fn()
train_f_op, loss_f = model_fn(inputs[0], inputs[1], True, True)
train_g_op, loss_g = model_fn(inputs[0], inputs[1], True, False)
n_critic = 5
num_steps = 100
with tf.train.MonitoredSession() as sess:
for i in range(num_s... | code_fim | hard | {
"lang": "python",
"repo": "lqian/Cycle-W-GAN",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lqian/Cycle-W-GAN path: /main.py
import numpy as np
import tensorflow as tf
import generator
import GAN_f
import GAN_g
def model_fn(img_A, img_B, training=True, train_f=True):
cycle_loss_weight = 0.5
optimizer = tf.train.RMSPropOptimizer(learning_rate=1e-3)
w_dist_A = tf.reduce_mean... | code_fim | hard | {
"lang": "python",
"repo": "lqian/Cycle-W-GAN",
"path": "/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pybel/pybel path: /src/pybel/io/hetionet/constants.py
# -*- coding: utf-8 -*-
"""Constants for Hetionet."""
from ...dsl import Abundance, BiologicalProcess, Pathology, Population, Protein, Rna
from ...struct import BELGraph
HETIONET_PUBMED = "28936969"
##################
# Hetionet types #
##... | code_fim | hard | {
"lang": "python",
"repo": "pybel/pybel",
"path": "/src/pybel/io/hetionet/constants.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ACTIVATES_ACTIONS = {
"agonist",
"potentiator",
"inducer",
"positive modulator",
"partial agonist",
"positive allosteric modulator",
"activator",
"stimulator",
}
INHIBITS_ACTIONS = {
"inhibitor",
"antagonist",
"blocker",
"partial antagonist",
"inhibitor,... | code_fim | hard | {
"lang": "python",
"repo": "pybel/pybel",
"path": "/src/pybel/io/hetionet/constants.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>####################
# Drug action tags #
####################
ACTIVATES_ACTIONS = {
"agonist",
"potentiator",
"inducer",
"positive modulator",
"partial agonist",
"positive allosteric modulator",
"activator",
"stimulator",
}
INHIBITS_ACTIONS = {
"inhibitor",
"antag... | code_fim | hard | {
"lang": "python",
"repo": "pybel/pybel",
"path": "/src/pybel/io/hetionet/constants.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
main()<|fim_prefix|># repo: LLNL/HPCCEA path: /2021/HANFS/fence-agents/tests/test-drac4.py
#!/usr/bin/python
from fence_testing import test_action
def main():
<|fim_middle|> DRAC4 = "devices.d/dell-drac-4I.cfg"
ACT_STATUS = "actions.d/status.cfg"
ACT_ONOFF = "actions.d/po... | code_fim | hard | {
"lang": "python",
"repo": "LLNL/HPCCEA",
"path": "/2021/HANFS/fence-agents/tests/test-drac4.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LLNL/HPCCEA path: /2021/HANFS/fence-agents/tests/test-drac4.py
#!/usr/bin/python
from fence_testing import test_action
<|fim_suffix|>if __name__ == "__main__":
main()<|fim_middle|>def main():
DRAC4 = "devices.d/dell-drac-4I.cfg"
ACT_STATUS = "actions.d/status.cfg"
ACT_ONOFF = "actions.d/po... | code_fim | hard | {
"lang": "python",
"repo": "LLNL/HPCCEA",
"path": "/2021/HANFS/fence-agents/tests/test-drac4.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ikanel/PiHub path: /PythonPi/remotecommand.py
import subprocess
import sys
import settings
<|fim_suffix|> try:
p = subprocess.Popen(command, stdout=subprocess.PIPE,stderr=subprocess.PIPE, shell=True)
proc_output=p.communicate(timeout=settings.rpc_command_timeout)
res=p... | code_fim | easy | {
"lang": "python",
"repo": "ikanel/PiHub",
"path": "/PythonPi/remotecommand.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
p = subprocess.Popen(command, stdout=subprocess.PIPE,stderr=subprocess.PIPE, shell=True)
proc_output=p.communicate(timeout=settings.rpc_command_timeout)
res=proc_output[0].decode("utf-8")+proc_output[1].decode("utf-8")
return res
except:
return "Unexpec... | code_fim | easy | {
"lang": "python",
"repo": "ikanel/PiHub",
"path": "/PythonPi/remotecommand.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: stellaGK/stella path: /stellapy/data/potential/load_potentialObject.py
#!/usr/bin/python3
import sys, os
import pathlib
# Stellapy package
sys.path.append(os.path.abspath(pathlib.Path(os.environ.get('STELLAPY')).parent)+os.path.sep)
from stellapy.data.potential.read_potential3D import g... | code_fim | hard | {
"lang": "python",
"repo": "stellaGK/stella",
"path": "/stellapy/data/potential/load_potentialObject.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @calculate_attributeWhenReadFirstTime
def phi2_vs_t_zonal(self): get_potentialVsTime(self); return self.phi2_vs_t_zonal
@calculate_attributeWhenReadFirstTime
def phi2_vs_t_nozonal(self): get_potentialVsTime(self); return self.phi2_vs_t_nozonal
# Get the 3D potenti... | code_fim | hard | {
"lang": "python",
"repo": "stellaGK/stella",
"path": "/stellapy/data/potential/load_potentialObject.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def draw(self, screen):
screen.blit(self._background, (0, 0))
BaseContext.draw(self, screen)
"""
button press functions
"""
def buttonEditNetwork(self, fileName):
from context.networkeditcontext import NetworkEditContext
self._setContextFunc(... | code_fim | hard | {
"lang": "python",
"repo": "YueNing/gadakeco-ml",
"path": "/Gadakeco_Code/src/context/networkcontext.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: YueNing/gadakeco-ml path: /Gadakeco_Code/src/context/networkcontext.py
import os
import random
import pygame
from pygame.font import Font, SysFont
from context.basecontext import BaseContext
from gui.guibutton import GuiButton
from gui.guicontainer import GuiContainer
from gui.guilabel... | code_fim | hard | {
"lang": "python",
"repo": "YueNing/gadakeco-ml",
"path": "/Gadakeco_Code/src/context/networkcontext.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: juhasch/scikit-rf path: /skrf/plotting.py
**heavyColor))
# clipping circle
clipc = Circle( [0,0], smithR, ec='k',fc='None',visible=True)
ax1.add_patch( clipc)
#draw x and y axis
ax1.axhline(0, color='k', lw=.1, clip_path=clipc)
ax1.axvline(1*y_flip_sign, color='k', clip_... | code_fim | hard | {
"lang": "python",
"repo": "juhasch/scikit-rf",
"path": "/skrf/plotting.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> x_label : string
x-axis label
y_label : string
y-axis label
title : string
plot title
show_legend : Boolean
controls the drawing of the legend
ax : :class:`matplotlib.axes.AxesSubplot` object
axes to draw on
*args,**kwargs : passed to pylab.p... | code_fim | hard | {
"lang": "python",
"repo": "juhasch/scikit-rf",
"path": "/skrf/plotting.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
adds markers to existing lings on a plot
this is convinient if you have already have a plot made, but then
need to add markers afterwards, so that it can be interpreted in
black and white. The markevery argument makes the markers less
frequent than the data, which is g... | code_fim | hard | {
"lang": "python",
"repo": "juhasch/scikit-rf",
"path": "/skrf/plotting.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> download.set_cache_root(cls.default_cache_root)
shutil.rmtree(cls.temp_dir)
@pytest.mark.slow
def test_get_cnn_dailymail(self):
raw = get_cnn_dailymail()
# train
self.assertIn('train', raw)
self.assertEqual(len(raw['train']), 2)
for x in raw... | code_fim | hard | {
"lang": "python",
"repo": "tofunlp/lineflow",
"path": "/tests/datasets/test_cnn_dailymail.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tofunlp/lineflow path: /tests/datasets/test_cnn_dailymail.py
import shutil
import tempfile
from unittest import TestCase, mock
import pytest
from lineflow import download
from lineflow.datasets.cnn_dailymail import CnnDailymail, get_cnn_dailymail
class CnnDailymailTestCase(TestCase):
@cl... | code_fim | hard | {
"lang": "python",
"repo": "tofunlp/lineflow",
"path": "/tests/datasets/test_cnn_dailymail.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @pytest.mark.slow
def test_get_cnn_dailymail_twice(self):
get_cnn_dailymail()
with mock.patch('lineflow.datasets.cnn_dailymail.pickle', autospec=True) as \
mock_pickle:
get_cnn_dailymail()
mock_pickle.dump.assert_not_called()
self.assertE... | code_fim | hard | {
"lang": "python",
"repo": "tofunlp/lineflow",
"path": "/tests/datasets/test_cnn_dailymail.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Given a known and experimental pair of letter-frequency
dictionaries, a translation table is constructed with the
experimental letter as the key and the known letter as the value.
>>> e = {'a':10, 'b':7, 'c':3}
>>> k = {'a':2, 'b':3, 'c':1}
>>> t = create_translation(e, k)... | code_fim | hard | {
"lang": "python",
"repo": "jreiher2003/7oars",
"path": "/frequency/frequency/__init__.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jreiher2003/7oars path: /frequency/frequency/__init__.py
# -*- coding: utf-8 -*-
#
# Copyright (C) 2008 John Paulett (john -at- 7oars.com)
# All rights reserved.
#
# This software is licensed as described in the file COPYING, which
# you should have received as part of this distribution.
import ... | code_fim | hard | {
"lang": "python",
"repo": "jreiher2003/7oars",
"path": "/frequency/frequency/__init__.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> with pytest.raises(ValueError):
isodatetime(datetime.fromisoformat("2022-09-16T12:03:45+02:00"))
def test_parse_isodatetime() -> None:
time = parse_isodatetime("2022-09-16T12:03:45Z")
assert time == datetime(2022, 9, 16, 12, 3, 45, tzinfo=timezone.utc)
now = current_datetime()
... | code_fim | hard | {
"lang": "python",
"repo": "lsst-sqre/safir",
"path": "/tests/datetime_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lsst-sqre/safir path: /tests/datetime_test.py
"""Tests for datetime utility functions."""
from __future__ import annotations
from datetime import datetime, timedelta, timezone
import pytest
from safir.datetime import (
current_datetime,
format_datetime_for_logging,
isodatetime,
... | code_fim | hard | {
"lang": "python",
"repo": "lsst-sqre/safir",
"path": "/tests/datetime_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_format_datetime_for_logging() -> None:
time = datetime.fromisoformat("2022-09-16T12:03:45+00:00")
assert format_datetime_for_logging(time) == "2022-09-16 12:03:45"
# Test with milliseconds, allowing for getting extremely unlucky and
# having no microseconds. Getting unlucky twic... | code_fim | hard | {
"lang": "python",
"repo": "lsst-sqre/safir",
"path": "/tests/datetime_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fi-ksi/web-backend path: /endpoint/admin/__init__.py
from endpoint.admin.evaluations import Evaluation
from endpoint.admin.corrections import Corrections
from endpoint.admin.corrections import Correction
from endpoint.admin.correctionsInfo import CorrectionsInfo
from endpoint.admin.correctionsInf... | code_fim | hard | {
"lang": "python",
"repo": "fi-ksi/web-backend",
"path": "/endpoint/admin/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>point.admin.userExport import UserExport
from endpoint.admin.evalCode import EvalCode
from endpoint.admin.execs import Execs
from endpoint.admin.execs import Exec
from endpoint.admin.monitoringDashboard import MonitoringDashboard
from endpoint.admin.diploma import DiplomaGrant<|fim_prefix|># repo: fi-ksi/... | code_fim | hard | {
"lang": "python",
"repo": "fi-ksi/web-backend",
"path": "/endpoint/admin/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TransitApp/gtfs-realtime-bindings path: /python/tests/test_gtfs_realtime_pb2.py
#!/usr/bin/python
#
# Copyright 2015 Google Inc.
#
# 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 L... | code_fim | medium | {
"lang": "python",
"repo": "TransitApp/gtfs-realtime-bindings",
"path": "/python/tests/test_gtfs_realtime_pb2.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def testParseFromString(self):
feed = gtfs_realtime_pb2.FeedMessage()
data_dir = os.path.dirname(os.path.abspath(__file__))
with open(os.path.join(data_dir, 'vehicle_position.pb'), 'rb') as f:
feed.ParseFromString(f.read())
self.assertEquals(1, len(feed.entity))
entity = feed.... | code_fim | medium | {
"lang": "python",
"repo": "TransitApp/gtfs-realtime-bindings",
"path": "/python/tests/test_gtfs_realtime_pb2.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> feed = gtfs_realtime_pb2.FeedMessage()
data_dir = os.path.dirname(os.path.abspath(__file__))
with open(os.path.join(data_dir, 'vehicle_position.pb'), 'rb') as f:
feed.ParseFromString(f.read())
self.assertEquals(1, len(feed.entity))
entity = feed.entity[0]
self.assertEquals('1... | code_fim | medium | {
"lang": "python",
"repo": "TransitApp/gtfs-realtime-bindings",
"path": "/python/tests/test_gtfs_realtime_pb2.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: neurodata/maggot_models path: /src/embed/embed.py
import numpy as np
from graspy.embed import AdjacencySpectralEmbed, LaplacianSpectralEmbed, OmnibusEmbed
from graspy.utils import pass_to_ranks, get_lcc
def ase(adj, n_components, ptr=True):
if ptr:
adj = pass_to_ranks(adj)
ase =... | code_fim | hard | {
"lang": "python",
"repo": "neurodata/maggot_models",
"path": "/src/embed/embed.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def omni(adjs, n_components, ptr=True):
if ptr:
adjs = [pass_to_ranks(a) for a in adjs]
omni = OmnibusEmbed(n_components=n_components // len(adjs))
latent = omni.fit_transform(adjs)
latent = np.concatenate(latent, axis=-1) # first is for in/out
latent = np.concatenate(latent,... | code_fim | hard | {
"lang": "python",
"repo": "neurodata/maggot_models",
"path": "/src/embed/embed.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hpi-dhc/fiber path: /fiber/database/mysql.py
from sqlalchemy import (
create_engine,
MetaData,
)
<|fim_suffix|>engine = create_engine(DATABASE_URI)
meta = add_tables(MetaData(bind=engine))<|fim_middle|>from fiber.config import (
DB_HOST,
DB_PASSWD,
DB_PORT,
DB_SCHEMA,
... | code_fim | hard | {
"lang": "python",
"repo": "hpi-dhc/fiber",
"path": "/fiber/database/mysql.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>meta = add_tables(MetaData(bind=engine))<|fim_prefix|># repo: hpi-dhc/fiber path: /fiber/database/mysql.py
from sqlalchemy import (
create_engine,
MetaData,
)
<|fim_middle|>from fiber.config import (
DB_HOST,
DB_PASSWD,
DB_PORT,
DB_SCHEMA,
DB_USER
)
from fiber.database.meta i... | code_fim | hard | {
"lang": "python",
"repo": "hpi-dhc/fiber",
"path": "/fiber/database/mysql.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>DATABASE_URI = (
f'mysql+pymysql://{DB_USER}:{DB_PASSWD}' +
f'@{DB_HOST}:{DB_PORT}/{DB_SCHEMA}'
)
engine = create_engine(DATABASE_URI)
meta = add_tables(MetaData(bind=engine))<|fim_prefix|># repo: hpi-dhc/fiber path: /fiber/database/mysql.py
from sqlalchemy import (
create_engine,
MetaD... | code_fim | medium | {
"lang": "python",
"repo": "hpi-dhc/fiber",
"path": "/fiber/database/mysql.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
print(compute())<|fim_prefix|># repo: arvganesh/Project-Euler-Log path: /Python/001.py
#
# Solution to Project Euler problem 1
# by Project Nayuki
#
# https://www.nayuki.io/page/project-euler-solutions
# https://github.com/nayuki/Project-Euler-solutions
#
<|fim_middle|># ... | code_fim | medium | {
"lang": "python",
"repo": "arvganesh/Project-Euler-Log",
"path": "/Python/001.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: arvganesh/Project-Euler-Log path: /Python/001.py
#
# Solution to Project Euler problem 1
# by Project Nayuki
#
# https://www.nayuki.io/page/project-euler-solutions
# https://github.com/nayuki/Project-Euler-solutions
#
<|fim_suffix|> ans = sum(x for x in range(1000) if (x % 3 == 0 or x % 5 ==... | code_fim | medium | {
"lang": "python",
"repo": "arvganesh/Project-Euler-Log",
"path": "/Python/001.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|># fetch result1 with column headings
result1 = pd.DataFrame(data=curs.execute(top_10_most_expensive_qry).fetchall(), columns=cols
print('\n')
print(result1)
############## Average age of an employee #############
result2 = curs.execute(avgAge_query).fetchone()
############## Average age of an employee a... | code_fim | hard | {
"lang": "python",
"repo": "rokshana10/DS-Unit-3-Sprint-2-SQL-and-Databases",
"path": "/northwind.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Query to see table's schema (the `CREATE TABLE` statement)
curs.execute('SELECT sql FROM sqlite_master WHERE name="Customer";').fetchall()
########### Ten most expensive items##############
top_10_most_expensive_qry = """
SELECT prod.ProductName, prod.UnitPrice
FROM Product AS prod
ORDER BY prod.UnitP... | code_fim | medium | {
"lang": "python",
"repo": "rokshana10/DS-Unit-3-Sprint-2-SQL-and-Databases",
"path": "/northwind.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rokshana10/DS-Unit-3-Sprint-2-SQL-and-Databases path: /northwind.py
import sqlite3
import pandas as pd
# Conn = sqlite3.connect('".."/data_u3sc2/northwind_small.sqlite3')
db_path = ('C:\Users\Rokshana_Parul\Desktop\ROKSHANA\Data_Engineering\Ciass_lecture_Unit3_SP2\DS-Unit-3-Sprint-2-SQL-and-Datab... | code_fim | hard | {
"lang": "python",
"repo": "rokshana10/DS-Unit-3-Sprint-2-SQL-and-Databases",
"path": "/northwind.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: breencp/Sudoku path: /sudoku_proj/sudoku/views.py
import copy
import json
import re
import time
from django import forms
from django.contrib.admin.views.decorators import staff_member_required
from django.db import IntegrityError
from django.http import HttpResponseRedirect, HttpResponse
from dj... | code_fim | hard | {
"lang": "python",
"repo": "breencp/Sudoku",
"path": "/sudoku_proj/sudoku/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # uncomment save_game when not using custom board for testing, comment when testing or save will crash
# save_game(data)
return HttpResponse(status=204)
def corrupted_board(user_board):
# ensure user_board hasn't been tampered with
try:
if len(user_board) != 9:
ra... | code_fim | hard | {
"lang": "python",
"repo": "breencp/Sudoku",
"path": "/sudoku_proj/sudoku/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return HttpResponse(json.dumps(
'Sorry, your on your own. You may want to Verify Solutions to see if any mistakes have been made.'))
def convert_board(old_board, direction, orig_board):
new_board = copy.deepcopy(old_board)
if direction == 'Int':
# user solved cells remain as... | code_fim | hard | {
"lang": "python",
"repo": "breencp/Sudoku",
"path": "/sudoku_proj/sudoku/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: crscardellino/html2txt path: /tests/test_00002_html2txt_5.py
import pytest
from html2txt import converters
# example: 2
# section: html2txt
def test_5_00002():
html = """<div class="bd-example">
<address>
<strong>Twitter, Inc.</strong><br />
1355 Market St, Suite 900<br />
San Fr... | code_fim | medium | {
"lang": "python",
"repo": "crscardellino/html2txt",
"path": "/tests/test_00002_html2txt_5.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>Phone (123) 456-7890
</address>
<address>
**Full Name**
<[email protected]>
</address>
"""
markdown = converters.Html2Markdown().convert(html)
assert markdown == expected_markdown<|fim_prefix|># repo: crscardellino/html2txt path: /tests/test_00002_html2txt_5.py
import pytest
from... | code_fim | medium | {
"lang": "python",
"repo": "crscardellino/html2txt",
"path": "/tests/test_00002_html2txt_5.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> <address>
**Full Name**
<[email protected]>
</address>
"""
markdown = converters.Html2Markdown().convert(html)
assert markdown == expected_markdown<|fim_prefix|># repo: crscardellino/html2txt path: /tests/test_00002_html2txt_5.py
import pytest
from html2txt import converters
# exam... | code_fim | medium | {
"lang": "python",
"repo": "crscardellino/html2txt",
"path": "/tests/test_00002_html2txt_5.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sunaga-lab/vizexec path: /logwriter/python/VizexecLogWriter.py
# -*- coding: utf-8 -*-
import os
import sys
import threading
import socket
time_counter = 0
# for internal
def build_id(params):
return "_".join(str(p) for p in params)
write_log_raw = None
flash_log_raw = None
tracer_data =... | code_fim | hard | {
"lang": "python",
"repo": "sunaga-lab/vizexec",
"path": "/logwriter/python/VizexecLogWriter.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def send(*msgobj):
""" Sending marker """
write_log("SND", build_id(msgobj))
def recv(*msgobj):
""" Receiving marker """
write_log("RCV", build_id(msgobj))
def thread_name(name):
""" Thread naming marker """
write_log_notime("TNM", name)
def event(ename):
""" Event marker "... | code_fim | hard | {
"lang": "python",
"repo": "sunaga-lab/vizexec",
"path": "/logwriter/python/VizexecLogWriter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>type and >0."
return
# Main code
n=x.size
mov_av_x=np.zeros(n)
if type_av=="n":
if l%2==0:
lbis=l+1 # if even number => +1
else:
lbis=l
m=(lbis-1)/2
# on the borders of the time series
for k in range(m):
mov_av_x[k]=np.sum(x[:(k+m+1)])/float(k+1+m)
mov_av_x[n-1-k]=np.sum(... | code_fim | hard | {
"lang": "python",
"repo": "mtoqeerpk/WAVEPAL",
"path": "/wavepal/mov_av.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mtoqeerpk/WAVEPAL path: /wavepal/mov_av.py
import numpy as np
def mov_av(t,x,l,type_av="t"):
""" mov_av returns the moving average of a time series.
If type_av="n":
For each data point, it makes the average on l points, i.e. enter in the average: the (l-1)/2 data points before, the (l-1)... | code_fim | hard | {
"lang": "python",
"repo": "mtoqeerpk/WAVEPAL",
"path": "/wavepal/mov_av.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return 1 <= coords[0] <= 8 and 1 <= coords[1] <= 8
def chessKnight(cell):
knightCoords = parseCell(cell)
moves = [(-2, 1), (-1, 2), (1, 2), (2, 1),
(-2, -1), (-1, -2), (1, -2), (2, -1)]
validMoves = 0
for m in moves:
if inBounds((knightCoords[0] + m[0],
... | code_fim | medium | {
"lang": "python",
"repo": "heitorchang/learn-code",
"path": "/battles/arcade/intro/chessKnight.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: heitorchang/learn-code path: /battles/arcade/intro/chessKnight.py
def parseCell(cell):
col = 1 + ord(cell[0]) - ord('a')
row = int(cell[1])
return (row, col)
<|fim_suffix|> return 1 <= coords[0] <= 8 and 1 <= coords[1] <= 8
def chessKnight(cell):
knightCoords = parseCell(cell... | code_fim | medium | {
"lang": "python",
"repo": "heitorchang/learn-code",
"path": "/battles/arcade/intro/chessKnight.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: znick/anytask path: /anytask/groups/models.py
from django.db import models
from django.contrib.auth.models import User
from years.models import Year
<|fim_suffix|> def __unicode__(self):
return u"{0}|{1}".format(self.year, unicode(self.name))
def get_full_name(self):
ret... | code_fim | hard | {
"lang": "python",
"repo": "znick/anytask",
"path": "/anytask/groups/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> unique_together = (("year", "name"),)
def __unicode__(self):
return u"{0}|{1}".format(self.year, unicode(self.name))
def get_full_name(self):
return unicode(self.name)<|fim_prefix|># repo: znick/anytask path: /anytask/groups/models.py
from django.db import models
from dj... | code_fim | medium | {
"lang": "python",
"repo": "znick/anytask",
"path": "/anytask/groups/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> added_time = models.DateTimeField(auto_now_add=True) # remove default=timezone.now
update_time = models.DateTimeField(auto_now=True) # remove default=timezone.now
class Meta:
unique_together = (("year", "name"),)
def __unicode__(self):
return u"{0}|{1}".format(self.year... | code_fim | hard | {
"lang": "python",
"repo": "znick/anytask",
"path": "/anytask/groups/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HPCC-Cloud-Computing/CALplus path: /calplus/tests/base.py
"""Base classes for our unit tests.
Allows overriding of flags for use of fakes, and some black magic for
inline callbacks.
"""
import contextlib
from falcon import testing
import fixtures
import mock
import six
from calplus.tests import ... | code_fim | hard | {
"lang": "python",
"repo": "HPCC-Cloud-Computing/CALplus",
"path": "/calplus/tests/base.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _clear_attrs(self):
# Delete attributes that don't start with _ so they don't pin
# memory around unnecessarily for the duration of the test
# suite
for key in [k for k in self.__dict__.keys() if k[0] != '_']:
# NOTE(gmann): Skip attribute 'id' because i... | code_fim | hard | {
"lang": "python",
"repo": "HPCC-Cloud-Computing/CALplus",
"path": "/calplus/tests/base.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def save_weak_folds(full, nb_folds=5):
kfold = KFold(nb_folds, shuffle=True, random_state=42)
return kfold.split(full)
def load_folds(options=None, df=None):
"""
Either folds are specified in the CSV file or they are generated
according to whether options.folds is 'weak' or not.
... | code_fim | hard | {
"lang": "python",
"repo": "jilljenn/ktm",
"path": "/dataio.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jilljenn/ktm path: /dataio.py
"""
If options.folds is 'weak', the k-fold is performed on samples.
Otherwise, it is performed on users.
"""
from pathlib import Path
import re
from sklearn.model_selection import KFold
import pandas as pd
import numpy as np
<|fim_suffix|>
def save_folds(full, nb_f... | code_fim | hard | {
"lang": "python",
"repo": "jilljenn/ktm",
"path": "/dataio.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Measurement loop
count = 0
size = int(self.data.itemsize / 2) * length
previous_bin_slice = b''
while not hasAborted() and self.samples > count:
bin_slice = previous_bin_slice
while len(bin_slice) < size:
bin_slice += self.... | code_fim | hard | {
"lang": "python",
"repo": "pymeasure/pymeasure",
"path": "/pymeasure/instruments/comedi.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pymeasure/pymeasure path: /pymeasure/instruments/comedi.py
#
# This file is part of the PyMeasure package.
#
# Copyright (c) 2013-2023 PyMeasure Developers
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "... | code_fim | hard | {
"lang": "python",
"repo": "pymeasure/pymeasure",
"path": "/pymeasure/instruments/comedi.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # --------------- #
sub1.axvline(x=1e-3*freq[i0], linewidth=2, color='k')
sub1.axvline(x=1e-3*freq[i1], linewidth=2, color='k')
sub2.axvline(x=1e-3*freq[i0], linewidth=2, color='k')
sub2.axvline(x=1e-3*freq[i1], linewidth=2, color='k')
sub3.axvline(x=1e-3*freq[i0], li... | code_fim | hard | {
"lang": "python",
"repo": "gmweir/HJ",
"path": "/source/Scripts/cece_anal.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># NeAvg, NeVar, _, _ = _ut.trapz_var(freq[i0:i1], Cxy_avg[i0:i1], varx=None, vary=_np.abs(Cxy_var[i0:i1]) )
# NeAvg = _np.sqrt(NeAvg/Bif)
# NeVar = (0.5/Bif*(NeAvg/Bif)**(-0.5))**2.0*NeVar
# --------------- #
sub1.axvline(x=1e-3*freq[i0], linewidth=2, color='k')
... | code_fim | hard | {
"lang": "python",
"repo": "gmweir/HJ",
"path": "/source/Scripts/cece_anal.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gmweir/HJ path: /source/Scripts/cece_anal.py
ils as _pltut
from FFT import fft_analysis as _fft
from scipy import signal as _sig
from FFT.fft_analysis import butter_lowpass
from FFT.notch_filter import iirnotch
# =============================================== #
# datafolder = _os.path.abspath(... | code_fim | hard | {
"lang": "python",
"repo": "gmweir/HJ",
"path": "/source/Scripts/cece_anal.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gams/openkongqi path: /openkongqi/records/sqlalch.py
# -*- coding: utf-8 -*-
from __future__ import absolute_import, print_function, unicode_literals
from copy import copy
import pytz
from sqlalchemy import create_engine
from sqlalchemy import Column, String, DateTime, Float
from sqlalchemy.orm ... | code_fim | hard | {
"lang": "python",
"repo": "gams/openkongqi",
"path": "/openkongqi/records/sqlalch.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def is_duplicate(self, record):
dup_count = self._cnx.query(Record).filter_by(
ts=record.ts, uuid=record.uuid, key=record.key
).count()
return dup_count != 0
def write_records(self, records, ignore_check_latest=False, context=None):
for uuid, records in... | code_fim | hard | {
"lang": "python",
"repo": "gams/openkongqi",
"path": "/openkongqi/records/sqlalch.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>default_handler = logging.StreamHandler()
default_handler.setFormatter(logging.Formatter(
"[%(asctime)s] [tuya-%(module)s] %(message)s"
))
logger.addHandler(default_handler)
tuya_logger = logger<|fim_prefix|># repo: azhar-reddy/tuya-light-manager path: /tuya_iot/logging.py
#!/usr/bin/env python
# -*... | code_fim | easy | {
"lang": "python",
"repo": "azhar-reddy/tuya-light-manager",
"path": "/tuya_iot/logging.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: azhar-reddy/tuya-light-manager path: /tuya_iot/logging.py
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
"""Tuya iot logging."""
import logging
<|fim_suffix|>default_handler = logging.StreamHandler()
default_handler.setFormatter(logging.Formatter(
"[%(asctime)s] [tuya-%(module)s] %(message)s... | code_fim | easy | {
"lang": "python",
"repo": "azhar-reddy/tuya-light-manager",
"path": "/tuya_iot/logging.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not root:
return
search(root.left, k)
global count, res
count += 1
if count == k:
res = root.val
search(root.right, k)
search(root, k)
return res<|fim_prefix|># repo: summertian4/Prac... | code_fim | medium | {
"lang": "python",
"repo": "summertian4/Practice",
"path": "/LeetCode/0230.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
:type root: TreeNode
:type k: int
:rtype: int
"""
global res, count
res,count = 0,0
def search(root, k) :
if not root:
return
search(root.left, k)
global count, res
count += ... | code_fim | medium | {
"lang": "python",
"repo": "summertian4/Practice",
"path": "/LeetCode/0230.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: summertian4/Practice path: /LeetCode/0230.py
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
<|fim_suffix|> if not root:
return
search(... | code_fim | hard | {
"lang": "python",
"repo": "summertian4/Practice",
"path": "/LeetCode/0230.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> f2.write(line[0]+"\n")
f2.close()<|fim_prefix|># repo: CSUChico-CINS465/CINS465-S21-Examples path: /test.py
f = open("requirements.txt","r")
f2 =<|fim_middle|> open("requirements2.txt","w+")
for line in f:
line = line.split("=")
| code_fim | medium | {
"lang": "python",
"repo": "CSUChico-CINS465/CINS465-S21-Examples",
"path": "/test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CSUChico-CINS465/CINS465-S21-Examples path: /test.py
f = open("requirements.txt","r")
f2 = open("requirements2.txt","w+")
for l<|fim_suffix|> f2.write(line[0]+"\n")
f2.close()<|fim_middle|>ine in f:
line = line.split("=")
| code_fim | easy | {
"lang": "python",
"repo": "CSUChico-CINS465/CINS465-S21-Examples",
"path": "/test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>_scm'], # setuptools_scm>=6.0 doesn't support Python 3.5
use_scm_version = True,
) # yapf: disable<|fim_prefix|># repo: freebsd/freebsd-ports path: /devel/py-logfury/files/patch-setup.py
--- setup.py.orig 2021-10-21 05:05:21 UTC
+++ setup.py
@@ -72,6 +72,6 @@ setup(
classifiers = CLASS... | code_fim | medium | {
"lang": "python",
"repo": "freebsd/freebsd-ports",
"path": "/devel/py-logfury/files/patch-setup.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: freebsd/freebsd-ports path: /devel/py-logfury/files/patch-setup.py
--- setup.py.orig 2021-10-21 05:05:21 UTC
+++ setup.py
@@ -72,6 +72,6 @@ setup(
classifiers = CL<|fim_suffix|>tuptools_scm<6.0'], # setuptools_scm>=6.0 doesn't support Python 3.5
+ setup_requires = ['setuptools_scm... | code_fim | medium | {
"lang": "python",
"repo": "freebsd/freebsd-ports",
"path": "/devel/py-logfury/files/patch-setup.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertEqual([2, 4], split(tests, 0, 2))
self.assertEqual([1, 3, 5], split(tests, 1, 2))
self.assertEqual([3], split(tests, 0, 3))
self.assertEqual([1, 4], split(tests, 1, 3))
self.assertEqual([2, 5], split(tests, 2, 3))
tests = [1, 2, 3, 4... | code_fim | hard | {
"lang": "python",
"repo": "ECS-251-W2020/chromium",
"path": "/third_party/blink/tools/blinkpy/web_tests/controllers/web_test_finder_unittest.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ECS-251-W2020/chromium path: /third_party/blink/tools/blinkpy/web_tests/controllers/web_test_finder_unittest.py
# Copyright 2015 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import os
import sys
i... | code_fim | hard | {
"lang": "python",
"repo": "ECS-251-W2020/chromium",
"path": "/third_party/blink/tools/blinkpy/web_tests/controllers/web_test_finder_unittest.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: iago-suarez/SOLD2 path: /model/line_matcher.py
"""
Implements the full pipeline from raw images to line matches.
"""
import time
import cv2
import numpy as np
import torch
import torch.nn.functional as F
from torch.nn.functional import softmax
from model.model_util import get_model
from model.lo... | code_fim | hard | {
"lang": "python",
"repo": "iago-suarez/SOLD2",
"path": "/model/line_matcher.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Extract junctions
junc_pred_nms = super_nms(
junctions[..., None], self.grid_size,
self.junc_detect_thresh, self.max_num_junctions)
if valid_mask is None:
junctions = np.where(junc_pred_nms.squeeze())
else:
... | code_fim | hard | {
"lang": "python",
"repo": "iago-suarez/SOLD2",
"path": "/model/line_matcher.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Upload the avatar to s3
s3 = boto3.client('s3')
upload = s3.put_object(Bucket="scuttle-s3", Body=avatar, Key="avatars/wikidot/" + str(user_id))
# Give SCUTTLE back the data requested and a link to the file.
payload = {"wd_user_id": user_id, "username": username,
... | code_fim | hard | {
"lang": "python",
"repo": "scuttle/2stacks",
"path": "/2stacks-get-user-metadata.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: scuttle/2stacks path: /2stacks-get-user-metadata.py
import json
import boto3
from botocore.exceptions import ClientError
# import logging
import helpers
import requests
import re
import config
import os
# logger = logging.getLogger()
# logger.setLevel(logging.INFO)
def lambda_handler(event, con... | code_fim | hard | {
"lang": "python",
"repo": "scuttle/2stacks",
"path": "/2stacks-get-user-metadata.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: neurorestore/neuraldynamicplatform path: /code/generateForSimInputs/generateRatAfferentFirings.py
import sys
sys.path.append('../code')
from tools import load_data_tools as ldt
from tools import emg_tools as et
from AfferentInput import AfferentInput
import matplotlib.pyplot as plt
import numpy a... | code_fim | hard | {
"lang": "python",
"repo": "neurorestore/neuraldynamicplatform",
"path": "/code/generateForSimInputs/generateRatAfferentFirings.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># get gait cycles
nSamples = len(kinematic['time'])
heelStrikeSamples = [int(x) for x in heelStrikes/kinematic['dt']]
footOffSamples = [int(x) for x in footOffs/kinematic['dt']]
samples = range(nSamples)
stance = np.zeros(nSamples).astype(bool)
for strike,off in zip(heelStrikeSamples,footOffSamples):
if ... | code_fim | hard | {
"lang": "python",
"repo": "neurorestore/neuraldynamicplatform",
"path": "/code/generateForSimInputs/generateRatAfferentFirings.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>fig,ax = plt.subplots(1,sharey=True)
fig.suptitle('Foot height')
ax.plot(footHeight['time'],footHeight['height'])
ax.set_ylabel('height (mm)')
""" Generate figures """
redAi = "#e9342f"
bluAi = "#00aaeb"
# Smooth the data with a moving average
nSamples = len(IAExt)
IAExtFilt = np.zeros(nSamples)
IAFlexF... | code_fim | hard | {
"lang": "python",
"repo": "neurorestore/neuraldynamicplatform",
"path": "/code/generateForSimInputs/generateRatAfferentFirings.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> vect, unflatten = flatten(val)
def fun(vec):
v = unflatten(vec)
return np.sum(v['k5']) + np.sum(v['k6'])
grad(fun)(vect)<|fim_prefix|># repo: CamDavidsonPilon/autograd path: /benchmarks/bench_util.py
import autograd.numpy.random as npr
import autograd.numpy as np
from autogra... | code_fim | hard | {
"lang": "python",
"repo": "CamDavidsonPilon/autograd",
"path": "/benchmarks/bench_util.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CamDavidsonPilon/autograd path: /benchmarks/bench_util.py
import autograd.numpy.random as npr
import autograd.numpy as np
from autograd import grad
try:
from autograd.misc.flatten import flatten
except ImportError:
from autograd.util import flatten
def time_flatten():
val = {'k': n... | code_fim | hard | {
"lang": "python",
"repo": "CamDavidsonPilon/autograd",
"path": "/benchmarks/bench_util.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>Nevada_dicast_site_array = []
for (key, value) in Nevada_image_table.items():
Nevada_dicast_site_array.append(value[1])
Nevada_dicast_site_set = set(Nevada_dicast_site_array)<|fim_prefix|># repo: OSADP/Pikalert-Vehicle-Data-Translator- path: /scripts/python/nevada_image_table.py
#!/usr/bin/env ... | code_fim | hard | {
"lang": "python",
"repo": "OSADP/Pikalert-Vehicle-Data-Translator-",
"path": "/scripts/python/nevada_image_table.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OSADP/Pikalert-Vehicle-Data-Translator- path: /scripts/python/nevada_image_table.py
#!/usr/bin/env python
""""""
# ============================================================================== #
# #
# (c) Copyrigh... | code_fim | hard | {
"lang": "python",
"repo": "OSADP/Pikalert-Vehicle-Data-Translator-",
"path": "/scripts/python/nevada_image_table.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
#[gap, H, D, A, HP1, HP2, HP3, HP4, HP5, HP6, HP7, HP8, HP9, HP10, HP11, AP1, AP2, AP3, AP4, AP5, AP6, AP7, AP8, AP9, AP10, AP11]
predicted = [1, 2.5, 4.5, 1.5, 50, 60, 70, 80, 90, 100, 90, 80, 70, 60, 50, 50, 60, 70, 80, 90, 100, 90, 80, 70, 60, 50]
print(predicted)... | code_fim | hard | {
"lang": "python",
"repo": "leviskim17/soccerprediction",
"path": "/gap_prediction.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #xs = getMatchHistory()
#print(xs)
predict_gap = 0
return predict_gap
if __name__ == '__main__':
#[gap, H, D, A, HP1, HP2, HP3, HP4, HP5, HP6, HP7, HP8, HP9, HP10, HP11, AP1, AP2, AP3, AP4, AP5, AP6, AP7, AP8, AP9, AP10, AP11]
predicted = [1, 2.5, 4.5, 1.5, 50, 60, 70, 80, 90, 10... | code_fim | medium | {
"lang": "python",
"repo": "leviskim17/soccerprediction",
"path": "/gap_prediction.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: leviskim17/soccerprediction path: /gap_prediction.py
from sklearn.model_selection import train_test_split
from gap_data import getMatchHistory
from classifier_helper import predictByMultinomialNB, predictByDecisionTree, predictBySGDClassifier, getAccuracy, getMatrix, getReport
<|fim_suffix|>if... | code_fim | hard | {
"lang": "python",
"repo": "leviskim17/soccerprediction",
"path": "/gap_prediction.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: iforgotid/webmail path: /web.py
__author__ = 'philipp'
import webapp2,leancloud,json,os,time,datetime,mimetypes
from webapp2_extras import jinja2
from leancloud import Object
from service.mailer import mailer
os.environ['TZ'] = 'Asia/Shanghai'
time.tzset()
leancloud.init('73b6c6p6lgs8s07m6yaq5je... | code_fim | hard | {
"lang": "python",
"repo": "iforgotid/webmail",
"path": "/web.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.response.headers['Content-Type'] = 'application/json'
data = json.loads(self.request.body)
Mail = Object.extend('Mail')
newMail = Mail()
newMail.set('subject',data['subject'])
newMail.set('to',data['to'])
newMail.set('html',data['html'])
... | code_fim | hard | {
"lang": "python",
"repo": "iforgotid/webmail",
"path": "/web.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Myzel394/django-common-utils path: /django_common_utils/templatetags/math.py
import math
import operator
from functools import reduce
from django.template.defaulttags import register
from ..libraries.typings import Number
from ..libraries.utils.templatetags_factory import iter_module
@registe... | code_fim | medium | {
"lang": "python",
"repo": "Myzel394/django-common-utils",
"path": "/django_common_utils/templatetags/math.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
for name, function in iter_module(math):
register.simple_tag(
function,
name=name
)<|fim_prefix|># repo: Myzel394/django-common-utils path: /django_common_utils/templatetags/math.py
import math
import operator
from functools import reduce
from django.template.defaulttags import ... | code_fim | hard | {
"lang": "python",
"repo": "Myzel394/django-common-utils",
"path": "/django_common_utils/templatetags/math.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@register.simple_tag
def divide(*args) -> Number:
return reduce(operator.__floordiv__, args)
for name, function in iter_module(math):
register.simple_tag(
function,
name=name
)<|fim_prefix|># repo: Myzel394/django-common-utils path: /django_common_utils/templatetags/math.py... | code_fim | medium | {
"lang": "python",
"repo": "Myzel394/django-common-utils",
"path": "/django_common_utils/templatetags/math.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>heart = turtle.Turtle()
heart.speed(10)
heart.penup()
#heart.setx(-350)
heart.sety(-300)
heart.pendown()
heart.pensize(9)
heartMovement = 400
numHearts = 20
heart.left(45)
x = 0
for j in range(numHearts):
heart.color(colorChoices[x])
x = x + 1
if x > len(colorChoices) - 1:
x = 0
... | code_fim | hard | {
"lang": "python",
"repo": "Koldenblue/heart-card",
"path": "/heart.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Koldenblue/heart-card path: /heart.py
import turtle, random
wn = turtle.Screen()
wn.bgcolor('light pink')
wn.title('Hello, Sarah!')
colorChoices = ['red', 'orange', 'orchid', 'green', 'blue', 'violet', 'salmon']
for darkColor in range(len(colorChoices)):
darkColor = 'dark ' + colorChoices[d... | code_fim | hard | {
"lang": "python",
"repo": "Koldenblue/heart-card",
"path": "/heart.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rpboyer15/sounds-of-the-storm path: /scripts/full_refresh.py
import os, sys
print("Are you sure you want to regenerate all html files?")
while True:
print('(y/n): ', end='')
ans = input().lower()
if ans == 'no' or ans == 'n':
print('exited')
sys.exit()
elif ans =... | code_fim | hard | {
"lang": "python",
"repo": "rpboyer15/sounds-of-the-storm",
"path": "/scripts/full_refresh.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i in range(0, len(skins)):
altSkinBody = """
<a href="{0}.html" class='skin'>{1}</a><br>""".format(skins[i],link_list[i])
text += altSkinBody
altSkinCloser = """
</h3>
</div>
"""
text += altSkinCloser
... | code_fim | hard | {
"lang": "python",
"repo": "rpboyer15/sounds-of-the-storm",
"path": "/scripts/full_refresh.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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