text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: kuri65536/python-for-android path: /python-modules/twisted/twisted/spread/publish.py
# -*- test-case-name: twisted.test.test_pb -*-
# Copyright (c) 2001-2008 Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Persistently cached objects for PB.
Maintainer: Glyph Lefkowitz
Future Plans... | code_fim | hard | {
"lang": "python",
"repo": "kuri65536/python-for-android",
"path": "/python-modules/twisted/twisted/spread/publish.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: blakaut/WebMark2 path: /qleader/serializers.py
from rest_framework import serializers
from qleader.models import Run
<|fim_suffix|> class Meta:
model = Run
fields = ['id', 'created', 'energy', 'optimizer', 'tqversion', 'variables',
'history_energies', 'gradie... | code_fim | hard | {
"lang": "python",
"repo": "blakaut/WebMark2",
"path": "/qleader/serializers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> class Meta:
model = Run
fields = ['id', 'created', 'energy', 'optimizer', 'tqversion', 'variables',
'history_energies', 'gradients', 'angles', 'energies_calls', 'gradients_calls',
'angles_calls', 'final_simplex', 'fun', 'message', 'nfev', 'nit', 'sta... | code_fim | hard | {
"lang": "python",
"repo": "blakaut/WebMark2",
"path": "/qleader/serializers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> model = Run
fields = ['id', 'created', 'energy', 'optimizer', 'tqversion', 'variables',
'history_energies', 'gradients', 'angles', 'energies_calls', 'gradients_calls',
'angles_calls', 'final_simplex', 'fun', 'message', 'nfev', 'nit', 'status',
... | code_fim | hard | {
"lang": "python",
"repo": "blakaut/WebMark2",
"path": "/qleader/serializers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@click.group()
@util.pass_context
def cli(ctx, **kwargs):
"""Logs resource.
"""
pass
@cli.command()
@click.option('--ofile', type=click.STRING, help='Output file name for logs archive.')
@util.pass_context
def download(ctx, **kwargs):
logapi = LogAPI(ecx_session=ctx.ecx_session)
outf... | code_fim | medium | {
"lang": "python",
"repo": "ghas-results/ecxclient",
"path": "/ecxclient/cli/commands/cmd_logs.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> logapi = LogAPI(ecx_session=ctx.ecx_session)
outfile = logapi.download_logs(kwargs['ofile'])
click.echo("Log archive: %s" % outfile)<|fim_prefix|># repo: ghas-results/ecxclient path: /ecxclient/cli/commands/cmd_logs.py
import json
import logging
import sys
import time
import click
from tabu... | code_fim | hard | {
"lang": "python",
"repo": "ghas-results/ecxclient",
"path": "/ecxclient/cli/commands/cmd_logs.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ghas-results/ecxclient path: /ecxclient/cli/commands/cmd_logs.py
import json
import logging
import sys
import time
import click
from tabulate import tabulate
<|fim_suffix|>@cli.command()
@click.option('--ofile', type=click.STRING, help='Output file name for logs archive.')
@util.pass_context
d... | code_fim | medium | {
"lang": "python",
"repo": "ghas-results/ecxclient",
"path": "/ecxclient/cli/commands/cmd_logs.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return render_template('notfound.html'),404<|fim_prefix|># repo: OscarMugendi/Pizza-Shop path: /app/main/error.py
from flask import render_template
from . import main
<|fim_middle|>@main.errorhandler(404)
def notFoundError(error):
| code_fim | easy | {
"lang": "python",
"repo": "OscarMugendi/Pizza-Shop",
"path": "/app/main/error.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
return render_template('notfound.html'),404<|fim_prefix|># repo: OscarMugendi/Pizza-Shop path: /app/main/error.py
from flask import render_template
from . import main
<|fim_middle|>@main.errorhandler(404)
def notFoundError(error):
| code_fim | easy | {
"lang": "python",
"repo": "OscarMugendi/Pizza-Shop",
"path": "/app/main/error.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OscarMugendi/Pizza-Shop path: /app/main/error.py
from flask import render_template
from . import main
<|fim_suffix|>
return render_template('notfound.html'),404<|fim_middle|>@main.errorhandler(404)
def notFoundError(error):
| code_fim | easy | {
"lang": "python",
"repo": "OscarMugendi/Pizza-Shop",
"path": "/app/main/error.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pmartin23/metapub path: /bin/demo_get_related_pmids.py
from __future__ import absolute_import, print_function, unicode_literals
<|fim_suffix|>result = fetch.related_pmids(pmid)
for key in list(result.keys()):
print(key)
for pmid in result[key]:
outp = pmid
article = fetc... | code_fim | medium | {
"lang": "python",
"repo": "pmartin23/metapub",
"path": "/bin/demo_get_related_pmids.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>from metapub import PubMedFetcher
fetch = PubMedFetcher()
try:
pmid = sys.argv[1]
except IndexError:
print("Supply a pubmed ID as the argument to this script.")
sys.exit()
result = fetch.related_pmids(pmid)
for key in list(result.keys()):
print(key)
for pmid in result[key]:
... | code_fim | medium | {
"lang": "python",
"repo": "pmartin23/metapub",
"path": "/bin/demo_get_related_pmids.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def update(self):
ensure_path_nonexistent(self.path)
with open(self.path, "w"):
# We're just touching it.
pass
@property
def namevar_for_breadcrumb(self):
if isinstance(self.parent, File):
return os.path.basename(self.path)
r... | code_fim | hard | {
"lang": "python",
"repo": "flyingcircusio/batou",
"path": "/src/batou/lib/file.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: flyingcircusio/batou path: /src/batou/lib/file.py
ty file in the work directory.
# If you really want an empty File then you can either use
# Presence(), or (recommended) use File('asdf', content='') to
# make this explicit. We don't want to acciden... | code_fim | hard | {
"lang": "python",
"repo": "flyingcircusio/batou",
"path": "/src/batou/lib/file.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Cause the rendered data to be human readable. Not all parsers support
# this so it can be turned off.
human_readable = True
# The final content that will be written out to the target.
content_compact = None
content_readable = None
_content_source_attribute = "data"
def... | code_fim | hard | {
"lang": "python",
"repo": "flyingcircusio/batou",
"path": "/src/batou/lib/file.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertEqual(
kb.isa(logic.expr('Petunia'), logic.expr('Petunia')),
True)
self.assertEqual(kb.isa(logic.expr('Petunia'), logic.expr('Mammal')), True)
self.assertEqual(kb.isa(logic.expr('Petunia'), logic.expr('Cat')), True)
self.assertEqual(kb.isa(logic.expr('Petunia'), logi... | code_fim | hard | {
"lang": "python",
"repo": "Energid/energid_nlp",
"path": "/energid_nlp/tests/logic_test.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Define 'Color' as an inherited fluent.
kb.define_fluent(logic.expr('Color'), inherited=True)
kb.tell(logic.expr('Color(Petunia, Gray)'))
# Define 'Name' as an non-inherited fluent.
kb.define_fluent(logic.expr('Name'), inherited=False)
kb.tell(logic.expr('Name(Animal, Peter)'))
... | code_fim | hard | {
"lang": "python",
"repo": "Energid/energid_nlp",
"path": "/energid_nlp/tests/logic_test.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Energid/energid_nlp path: /energid_nlp/tests/logic_test.py
tAllBindingsEqual(
kb.ask_all(logic.expr('Bind(?x, boo)')), [{'?x': 'boo'}])
self.assertBindingsEqual(
kb.ask(logic.expr('(Color(Cat, ?b) & Bind(?b, Boo))')), False)
# Shouldn't be able to assert a 'Bind'.
self.as... | code_fim | hard | {
"lang": "python",
"repo": "Energid/energid_nlp",
"path": "/energid_nlp/tests/logic_test.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_is_parallel3(self):
# plane 1: -7.926x + 8.625y - 7.217 z = -7.952
# plane 2: -2.642x + 2.875y - 2.404z = -2.443
plane1 = Plane(Vector([-7.926, 8.625, -7.212]), -7.952)
plane2 = Plane(Vector([-2.642, 2.875, -2.404]), -2.443)
result = plane1.is_parallel... | code_fim | hard | {
"lang": "python",
"repo": "kholohan/ud953-linear-algebra",
"path": "/test/testPlane.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # plane 1: -0.412x + 3.806y + 0.728z = -3.46
# plane 2: 1.03x + 9.515y - 1.82z = 8.65
plane1 = Plane(Vector([-0.412, 3.806, 0.728]), -3.46)
plane2 = Plane(Vector([1.03, 9.515, -1.82]), 8.65)
result = plane1.is_parallel(plane2)
self.assertFalse(result)
... | code_fim | hard | {
"lang": "python",
"repo": "kholohan/ud953-linear-algebra",
"path": "/test/testPlane.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kholohan/ud953-linear-algebra path: /test/testPlane.py
# -*- coding: utf-8 -*-
# Author: github.com/kholohan
import unittest
from vector import Vector
from plane import Plane
class PlaneTest(unittest.TestCase):
def test_is_equal(self):
# plane 1: -0.412x + 3.806y + 0.728z = -3.46
... | code_fim | hard | {
"lang": "python",
"repo": "kholohan/ud953-linear-algebra",
"path": "/test/testPlane.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def query(query, parameters=(), single=False):
"""
Sends a formatted query to the database. Can return a list of rows or
a single value depending on the ``single`` argument.
"""
cur = get_db().execute(query, parameters)
cur.row_factory = dict_factory
#cur = cur.cursor()
if... | code_fim | hard | {
"lang": "python",
"repo": "kevinschoonover/park-king",
"path": "/backend/backend/database.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Disconnects from the current database.
"""
db = getattr(g, '_database', None)
if db is not None:
db.close()
def query(query, parameters=(), single=False):
"""
Sends a formatted query to the database. Can return a list of rows or
a single value depending on the... | code_fim | hard | {
"lang": "python",
"repo": "kevinschoonover/park-king",
"path": "/backend/backend/database.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kevinschoonover/park-king path: /backend/backend/database.py
"""
Implementation of the connection to the application database.
"""
import sqlite3
from flask import g
#DATABASE = ':memory:'
DATABASE = '/tmp/park-king.db'
def init_app(app):
"""
Initializes the database and runs the ``sc... | code_fim | medium | {
"lang": "python",
"repo": "kevinschoonover/park-king",
"path": "/backend/backend/database.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NVIDIA/DALI path: /tools/lint.py
#!/usr/bin/env python
# Copyright (c) 2020-2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# 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 o... | code_fim | hard | {
"lang": "python",
"repo": "NVIDIA/DALI",
"path": "/tools/lint.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def gen_cmd(dali_root_dir, file_list, process_includes=False):
"""
Command for calling cpplint.py
"""
if not file_list:
return ["true"]
cmd = ["python",
os.path.join(dali_root_dir, "third_party", "cpplint.py"),
"--quiet",
"--linelength=100",
... | code_fim | hard | {
"lang": "python",
"repo": "NVIDIA/DALI",
"path": "/tools/lint.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def add_scalar(self, title=None, value=None, n_iter=None):
if title not in self.plots.keys():
self.plots[title] = _PlotData()
self.plots[title].add(x=n_iter, y=value)
def plot(self, title):
if title in self.plots.keys():
self.plots[title].plot(title... | code_fim | medium | {
"lang": "python",
"repo": "zhuyin521/LightNLP",
"path": "/lightnlp/utils/visualizer/_summary_writer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self):
self.plots = dict()
def add_scalar(self, title=None, value=None, n_iter=None):
if title not in self.plots.keys():
self.plots[title] = _PlotData()
self.plots[title].add(x=n_iter, y=value)
def plot(self, title):
if title in self.p... | code_fim | hard | {
"lang": "python",
"repo": "zhuyin521/LightNLP",
"path": "/lightnlp/utils/visualizer/_summary_writer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zhuyin521/LightNLP path: /lightnlp/utils/visualizer/_summary_writer.py
import matplotlib.pyplot as plt
class _PlotData:
def __init__(self):
self.x = list()
self.y = list()
def add(self, x=None, y=None):
<|fim_suffix|> x, y = self.x, self.y
if len(y) == 0:... | code_fim | medium | {
"lang": "python",
"repo": "zhuyin521/LightNLP",
"path": "/lightnlp/utils/visualizer/_summary_writer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def drawHier(self):
d = self.mouse[1]-self.drag[1] if self.drag[0] != -1 else 0
self.hier.draw(self.canv,(0,self.yoff+d))
def drawHighlight(self):
csy = (self.highlight+1)*self.hier.y_unit+self.yoff
self.canv[csy-self.hier.y_unit+5:csy+5]=self.color_highlight ... | code_fim | hard | {
"lang": "python",
"repo": "asdlei99/cvDictUI",
"path": "/cvDictUI.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def kill(self):
cv2.destroyWindow(self.name)
if __name__ == "__main__":
def demo1():
dict_obj = {u'control': {u'affirmation_speed': 0.004, u'identity_threshold': 1.0, u'charge_max': 50,
u'discharge_max': 100}, u'log': {u'timer': False}, u'language': u'es', u'camera': ... | code_fim | hard | {
"lang": "python",
"repo": "asdlei99/cvDictUI",
"path": "/cvDictUI.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: asdlei99/cvDictUI path: /cvDictUI.py
import cv2
import numpy as np
import os
import csv
KEY_UP = [0,91]
KEY_DOWN = [1,93]
KEY_RETURN = [13]
KEY_ESCAPE = [27]
KEY_BACKSPACE = [8,127]
MODE_VIEW = 0
MODE_ENTRY = 1
CV_FONT_WIDTH = 10
INT_STRING = "01234567890-"
FLOAT_STRING = "01234567890.-"
STR_... | code_fim | hard | {
"lang": "python",
"repo": "asdlei99/cvDictUI",
"path": "/cvDictUI.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> acc_s = df['D acc src'][-100:].mean()
acc_t = df['D acc tgt'][-100:].mean()
if accs == None:
accs = acc_s
else:
accs = max(accs, acc_s)
if acct == None:
acct = acc_t
else:
... | code_fim | hard | {
"lang": "python",
"repo": "mrsempress/transfer_learning",
"path": "/codes/AssociativeDA/solver.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mrsempress/transfer_learning path: /codes/AssociativeDA/solver.py
# encoding=utf-8
"""
Created on 14:23 2019/07/24
@author: Chenxi Huang
Minimal Training Script for Associative Domain Adaptation
"""
import time
import pandas as pd
import tqdm
import torch
from torch import nn
import L... | code_fim | hard | {
"lang": "python",
"repo": "mrsempress/transfer_learning",
"path": "/codes/AssociativeDA/solver.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> num_iter += 1
df = pd.DataFrame(train_hist)
# df.to_csv(osp.join(savedir, 'losshistory.csv'))
acc_s = df['D acc src'][-100:].mean()
acc_t = df['D acc tgt'][-100:].mean()
if accs == None:
accs = acc_s
el... | code_fim | hard | {
"lang": "python",
"repo": "mrsempress/transfer_learning",
"path": "/codes/AssociativeDA/solver.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i in sorted(intervals, key=lambda x: x[0]):
if result and result[-1][1] >= i[0]:
result[-1][1] = max(result[-1][1], i[1])
else:
result.append(i)
return result<|fim_prefix|># repo: Voley/AlgorithmicProblemsV2 path: /Sort/merge/Solution.py
# Support cod... | code_fim | medium | {
"lang": "python",
"repo": "Voley/AlgorithmicProblemsV2",
"path": "/Sort/merge/Solution.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Voley/AlgorithmicProblemsV2 path: /Sort/merge/Solution.py
# Support code
def merge(intervals):
<|fim_suffix|> result = []
for i in sorted(intervals, key=lambda x: x[0]):
if result and result[-1][1] >= i[0]:
result[-1][1] = max(result[-1][1], i[1])
else:
... | code_fim | easy | {
"lang": "python",
"repo": "Voley/AlgorithmicProblemsV2",
"path": "/Sort/merge/Solution.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Hadryan/FairnessRetrievalResults path: /adversarial_mitigation/metrics_utility.py
import os
import sys
import subprocess
import pdb
import pickle
import argparse
MAX_MRR_RANK = 200
class EvaluationTool():
def __init__(self):
pass
def evaluate(self, candidate, run_path_for_s... | code_fim | hard | {
"lang": "python",
"repo": "Hadryan/FairnessRetrievalResults",
"path": "/adversarial_mitigation/metrics_utility.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def evaluate(self, candidate, run_path_for_save, evalparam=None, validaterun=False):
"""Compute MRR metric
"""
results_perq = {'recip_rank':{}}
results_avg = {'recip_rank':{}}
MRR = 0
ranking = []
for qid in candidate:
if qid... | code_fim | hard | {
"lang": "python",
"repo": "Hadryan/FairnessRetrievalResults",
"path": "/adversarial_mitigation/metrics_utility.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> I_f=self.I_E(self.fake_B)
self.fake_B_recon=self.netG(torch.cat([I_f.data,AUR],dim=1))
torchvision.utils.save_image((self.fake_B_recon*0.5)+0.5,desti+'/'+str(i)+'_re'+'.png')
#
#put your video_path
... | code_fim | hard | {
"lang": "python",
"repo": "RocketFlash/potternews",
"path": "/icface/models/pix2pix_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # initialize optimizers
self.schedulers = []
self.optimizers = []
self.optimizer_I = torch.optim.Adam(self.I_E.parameters(),lr=opt.lr, betas=(opt.beta1, 0.999)) #0.1 in other program
self.optimizer_G = torch.optim.RMSprop(self.netG.... | code_fim | hard | {
"lang": "python",
"repo": "RocketFlash/potternews",
"path": "/icface/models/pix2pix_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RocketFlash/potternews path: /icface/models/pix2pix_model.py
import torch
from collections import OrderedDict
#from torch.autograd import Variable
import util.util as util
from util.image_pool import ImagePool
from .base_model import BaseModel
from . import networks
#import itertools
import torch... | code_fim | hard | {
"lang": "python",
"repo": "RocketFlash/potternews",
"path": "/icface/models/pix2pix_model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kvesteri/sqlalchemy-continuum path: /tests/test_composite_primary_key.py
import sqlalchemy as sa
from sqlalchemy_continuum import version_class
from tests import TestCase
class TestCompositePrimaryKey(TestCase):
def create_models(self):
class User(self.Model):
__tablenam... | code_fim | hard | {
"lang": "python",
"repo": "kvesteri/sqlalchemy-continuum",
"path": "/tests/test_composite_primary_key.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> class TeamMember(self.Model):
__tablename__ = 'team_member'
__versioned__ = {}
user_id = sa.Column(
sa.Integer,
nullable=False
)
team_id = sa.Column(
sa.Integer,
nullable=Fal... | code_fim | hard | {
"lang": "python",
"repo": "kvesteri/sqlalchemy-continuum",
"path": "/tests/test_composite_primary_key.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chaofan-zheng/tedu-python-demo path: /month01/all_code/day02/exercise04.py
"""
画出下列代码内存图,说出终端显示结果
"""
# insert 键:切换插入或者改写模式
name_of_<|fim_suffix|>beijing + region
region = "省"
print(name_of_beijing_region) # 北京市
del name_of_beijing
print(name_of_beijing_region) # 北京市<|fim_middle|>beijing, r... | code_fim | medium | {
"lang": "python",
"repo": "chaofan-zheng/tedu-python-demo",
"path": "/month01/all_code/day02/exercise04.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># 北京市
del name_of_beijing
print(name_of_beijing_region) # 北京市<|fim_prefix|># repo: chaofan-zheng/tedu-python-demo path: /month01/all_code/day02/exercise04.py
"""
画出下列代码内存图,说出终端显示结果
"""
# insert 键:切换插入或者改写模式
name_of_<|fim_middle|>beijing, region = "北京", "市"
name_of_beijing_region = name_of_beijing + ... | code_fim | medium | {
"lang": "python",
"repo": "chaofan-zheng/tedu-python-demo",
"path": "/month01/all_code/day02/exercise04.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class PaginationContext(StaffUserMixin, TestCase):
"""Ensure proper pagination structures are placed in the template context"""
permissions = ['browse_sms', ]
model = SMS
def setUp(self):
super(PaginationContext, self).setUp()
self.factory = RequestFactory()
self.... | code_fim | hard | {
"lang": "python",
"repo": "SmartElect/SmartElect",
"path": "/libya_elections/tests/test_bread_views.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SmartElect/SmartElect path: /libya_elections/tests/test_bread_views.py
from django.test import TestCase, RequestFactory
from django.urls import NoReverseMatch, reverse
from libya_elections.tests.utils import ResponseCheckerMixin
from libya_site.tests.factories import UserFactory
from register.mo... | code_fim | hard | {
"lang": "python",
"repo": "SmartElect/SmartElect",
"path": "/libya_elections/tests/test_bread_views.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Double check that generic and anonymous site users can't access bread views."""
def test_access(self):
UserFactory(username='joe', password='puppy')
for m in models:
instance = m()
urls = instance.get_urls()
for url in urls:
t... | code_fim | hard | {
"lang": "python",
"repo": "SmartElect/SmartElect",
"path": "/libya_elections/tests/test_bread_views.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Kwpolska/django-expenses path: /expenses/migrations/0005_expensetemplate_name.py
# Generated by Django 2.1.2 on 2018-10-11 12:20
from django.db import migrations, models
<|fim_suffix|>
dependencies = [
('expenses', '0004_delete_billitemtemplate'),
]
operations = [
... | code_fim | easy | {
"lang": "python",
"repo": "Kwpolska/django-expenses",
"path": "/expenses/migrations/0005_expensetemplate_name.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
('expenses', '0004_delete_billitemtemplate'),
]
operations = [
migrations.AddField(
model_name='expensetemplate',
name='name',
field=models.CharField(default='', max_length=40, verbose_name='name'),
preserve_def... | code_fim | easy | {
"lang": "python",
"repo": "Kwpolska/django-expenses",
"path": "/expenses/migrations/0005_expensetemplate_name.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: usnistgov/labbench path: /labbench/_serialize.pyi
from . import util as util
from ._rack import (
Rack as Rack,
import_as_rack as import_as_rack,
update_parameter_dict as update_parameter_dict,
)
from _typeshed import Incomplete
from pathlib import Path
<|fim_suffix|> rack: Rack,
... | code_fim | medium | {
"lang": "python",
"repo": "usnistgov/labbench",
"path": "/labbench/_serialize.pyi",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def write_table_stub(rack: Rack, name: str, path: Path, with_defaults: bool = ...): ...
def dump_rack(
rack: Rack,
output_path: Path,
sourcepath: Path,
pythonpath: Path = ...,
exist_ok: bool = ...,
with_defaults: bool = ...,
skip_tables: bool = ...,
): ...
def read_yaml_config(... | code_fim | medium | {
"lang": "python",
"repo": "usnistgov/labbench",
"path": "/labbench/_serialize.pyi",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.key
def is_root(self):
return not bool(self.key)
def has_view(self):
from djangobmf.sites import site
return self.key in [i.key for i in getattr(site, 'dashboards', [])]
class Meta:
abstract = True
ordering = ('key',)<|fim_prefix|>... | code_fim | hard | {
"lang": "python",
"repo": "caputomarcos/django-bmf",
"path": "/djangobmf/models/dashboard.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> return not bool(self.key)
def has_view(self):
from djangobmf.sites import site
return self.key in [i.key for i in getattr(site, 'dashboards', [])]
class Meta:
abstract = True
ordering = ('key',)<|fim_prefix|># repo: caputomarcos/django-bmf path: /djangobm... | code_fim | hard | {
"lang": "python",
"repo": "caputomarcos/django-bmf",
"path": "/djangobmf/models/dashboard.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: caputomarcos/django-bmf path: /djangobmf/models/dashboard.py
#!/usr/bin/python
# ex:set fileencoding=utf-8:
from __future__ import unicode_literals
# from django.conf import settings
from django.db import models
from django.utils.encoding import python_2_unicode_compatible
# from django.utils.t... | code_fim | medium | {
"lang": "python",
"repo": "caputomarcos/django-bmf",
"path": "/djangobmf/models/dashboard.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> pipeline.add_stage(stage_name = 'Source', actions = [
cp_actions.GithubSourceAction(
oauth_token = github_token,
output = source_output,
repo = 'devops-serverless-app-aws-cdk',
branch = 'main',
owner = 'adamdubey',
... | code_fim | hard | {
"lang": "python",
"repo": "adamdubey/devops-serverless-app-aws-cdk",
"path": "/stacks/codepipeline_backend.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: adamdubey/devops-serverless-app-aws-cdk path: /stacks/codepipeline_backend.py
from aws_cdk import (
aws_codepipeline as cp,
aws_codepipeline_actions as cp_actions,
aws_codebuild as cb,
aws_s3 as s3,
aws_secretsmanager as sm,
aws_iam as iam,
aws_ssm as ssm,
core
)
... | code_fim | hard | {
"lang": "python",
"repo": "adamdubey/devops-serverless-app-aws-cdk",
"path": "/stacks/codepipeline_backend.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: uk-gov-mirror/LandRegistry.maintain-frontend path: /maintain_frontend/app.py
from flask import Flask, g, request, redirect, current_app, Response
from maintain_frontend.dependencies.session_api.session import Session
from maintain_frontend.constants.permissions import Permissions
from werkzeug.co... | code_fim | hard | {
"lang": "python",
"repo": "uk-gov-mirror/LandRegistry.maintain-frontend",
"path": "/maintain_frontend/app.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> expire_date = datetime.datetime.now()
expire_date = expire_date + datetime.timedelta(minutes=5)
redirect_to_logout = redirect(path)
if not request.is_xhr:
response = current_app.make_response(redirect_to_logout)
response.set_cookie('Location', value=request.path, httponly=... | code_fim | hard | {
"lang": "python",
"repo": "uk-gov-mirror/LandRegistry.maintain-frontend",
"path": "/maintain_frontend/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @commands.command(aliases=["re"])
async def redo(self, ctx: commands.Context):
"""Reply to a message to rerun it if its a command, helps when you've made typos"""
ref = ctx.message.reference
if not ref:
return
try:
message = await ctx.channel... | code_fim | hard | {
"lang": "python",
"repo": "CodeWithSwastik/Tech-Struck",
"path": "/bot/core.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CodeWithSwastik/Tech-Struck path: /bot/core.py
from discord import Color, Embed, NotFound
from discord.ext import commands
class Common(commands.Cog):
def __init__(self, bot: commands.Bot):
self.bot = bot
@commands.command(aliases=["latency"])
async def ping(self, ctx: comm... | code_fim | hard | {
"lang": "python",
"repo": "CodeWithSwastik/Tech-Struck",
"path": "/bot/core.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> await ctx.send(embed=embed)
@commands.command(aliases=["re"])
async def redo(self, ctx: commands.Context):
"""Reply to a message to rerun it if its a command, helps when you've made typos"""
ref = ctx.message.reference
if not ref:
return
try:
... | code_fim | hard | {
"lang": "python",
"repo": "CodeWithSwastik/Tech-Struck",
"path": "/bot/core.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> DEBUG = 100
INFO = 300
WARNING = 500
ERROR = 700
@classmethod
def to_choices(cls):
return (
(cls.DEBUG, 'DEBUG'),
(cls.INFO, 'INFO'),
(cls.WARNING, 'WARNING'),
(cls.ERROR, 'ERROR'),... | code_fim | hard | {
"lang": "python",
"repo": "wbar/poc-import",
"path": "/src/pocimport/importing/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wbar/poc-import path: /src/pocimport/importing/models.py
from django.db import models
from .managers import ImportProcessManager
# Create your models here.
class ImportProcess(models.Model):
thunder_id = models.PositiveIntegerField(
verbose_name='Thundering frame id',
unique... | code_fim | medium | {
"lang": "python",
"repo": "wbar/poc-import",
"path": "/src/pocimport/importing/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cubacrazy/Rust-Server path: /UPNP/upnp-add-port
#!/usr/bin/env python
import miniupnpc
u = miniupnpc.UPnP()
u.discoverdelay=200;u.discover();u.selectigd()
import sys
if len(sys.ar<|fim_suffix|>: sys.stderr.write("Syntax: upnp-add-port external-port [internal-port]\n"),sys.exit(1)
u.addportmappin... | code_fim | medium | {
"lang": "python",
"repo": "cubacrazy/Rust-Server",
"path": "/UPNP/upnp-add-port",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ntPortNo,'upnp-add-port '+str(extPortNo),'')
u.addportmapping(extPortNo,'UDP',u.lanaddr,intPortNo,'upnp-add-port '+str(extPortNo),'')<|fim_prefix|># repo: cubacrazy/Rust-Server path: /UPNP/upnp-add-port
#!/usr/bin/env python
import miniupnpc
u = miniupnpc.UPnP()
u.discoverdelay=200;u.discover();u.selecti... | code_fim | hard | {
"lang": "python",
"repo": "cubacrazy/Rust-Server",
"path": "/UPNP/upnp-add-port",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>from launch import LaunchDescription
from launch.actions import DeclareLaunchArgument, ExecuteProcess, EmitEvent
from launch.conditions import IfCondition
from launch.launch_description_sources import PythonLaunchDescriptionSource
from launch.substitutions import LaunchConfiguration, PythonExpression
from... | code_fim | medium | {
"lang": "python",
"repo": "MROS-RobMoSys-ITP/mros_modes_observer",
"path": "/launch/mros_components_obs_launch.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MROS-RobMoSys-ITP/mros_modes_observer path: /launch/mros_components_obs_launch.py
# Copyright (c) 2018 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at... | code_fim | hard | {
"lang": "python",
"repo": "MROS-RobMoSys-ITP/mros_modes_observer",
"path": "/launch/mros_components_obs_launch.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> title = TextMobject("Hyperdarts")
title.scale(1.5)
title.to_edge(UP)
n = self.num_darts_in_initial_flurry
points = np.random.normal(size=n * 3).reshape((n, 3))
points[:, 2] = 0
points *= 0.75
board = Dartboard()
board.match_width(sq... | code_fim | hard | {
"lang": "python",
"repo": "pdcxs/manim",
"path": "/active_projects/hyperdarts.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pdcxs/manim path: /active_projects/hyperdarts.py
ass HyperdartScene(Scene):
CONFIG = {
"square_width": 6,
"square_style": {
"stroke_width": 2,
"fill_color": BLUE,
"fill_opacity": 0.5,
},
"circle_style": {
"fill_co... | code_fim | hard | {
"lang": "python",
"repo": "pdcxs/manim",
"path": "/active_projects/hyperdarts.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pdcxs/manim path: /active_projects/hyperdarts.py
elf.circle_center_dot)
def get_square(self):
return Square(
side_length=self.square_width,
**self.square_style
)
def get_circle(self, square=None):
square = square or self.square
cir... | code_fim | hard | {
"lang": "python",
"repo": "pdcxs/manim",
"path": "/active_projects/hyperdarts.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: buscarini/meta path: /templates/model/platforms/swift_coredata/Platform.py
import sys
import os
import json
import meta
import inflect
pluralEngine = inflect.engine()
from meta.MetaProcessor import MetaProcessor
class Platform(MetaProcessor):
"""docstring for Platform"""
def entityName... | code_fim | hard | {
"lang": "python",
"repo": "buscarini/meta",
"path": "/templates/model/platforms/swift_coredata/Platform.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """docstring for finalFileName"""
entityName = None
if hash!=None and 'entityName' in hash:
entityName = hash['entityName']
if (entityName):
fileName = fileName.replace("entity",entityName)
return fileName<|fim_prefix|># repo: busca... | code_fim | hard | {
"lang": "python",
"repo": "buscarini/meta",
"path": "/templates/model/platforms/swift_coredata/Platform.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_output(grad, inputv, inputm, input_param, beta_1, one_minus_beta_1, beta_2, one_minus_beta_2, epsilon, steps,
do_use_weight, weight_decay_rate, enable_graph_kernel=False):
context.set_context(enable_graph_kernel=enable_graph_kernel)
opt = Net(Tensor(inputv), Tensor(inputm))... | code_fim | hard | {
"lang": "python",
"repo": "mindspore-ai/mindspore",
"path": "/tests/st/ops/graph_kernel/test_lamb_apply_optimizer_assign.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> expect = get_output(grad, inputv, inputm, input_param, beta_1, one_minus_beta_1, beta_2, one_minus_beta_2, epsilon,
steps, do_use_weight, weight_decay_rate, False)
output = get_output(grad, inputv, inputm, input_param, beta_1, one_minus_beta_1, beta_2, one_minus_beta_2, eps... | code_fim | hard | {
"lang": "python",
"repo": "mindspore-ai/mindspore",
"path": "/tests/st/ops/graph_kernel/test_lamb_apply_optimizer_assign.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mindspore-ai/mindspore path: /tests/st/ops/graph_kernel/test_lamb_apply_optimizer_assign.py
# Copyright 2021 Huawei Technologies Co., Ltd
#
# 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 ... | code_fim | hard | {
"lang": "python",
"repo": "mindspore-ai/mindspore",
"path": "/tests/st/ops/graph_kernel/test_lamb_apply_optimizer_assign.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: darylantony/ghostly path: /ghostly/tests/django/testapp/views.py
# -*- coding: utf-8 -*-
"""
module.name
~~~~~~~~~~~~~~~
Preamble...
"""
from __future__ import absolute_import, print_function, unicode_literals
from django.views.generic import TemplateView
class ParameterisedTitleVi... | code_fim | hard | {
"lang": "python",
"repo": "darylantony/ghostly",
"path": "/ghostly/tests/django/testapp/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def post(self, *args, **kwargs):
return self.get(*args, **kwargs)
def get_context_data(self, **kwargs):
kwargs.update(
title=self.request.POST.get('title',
self.request.GET.get('title',
... | code_fim | hard | {
"lang": "python",
"repo": "darylantony/ghostly",
"path": "/ghostly/tests/django/testapp/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tdpsk/flask-miracle-acl path: /flask_miracle/base.py
'''
flask_miracle.base
------------------
base class for flask_miracle
'''
from miracle.acl import Acl as MiracleAcl
class Acl():
"""
Base class that communications between Miracle ACL and Flask
"""
acl = MiracleAcl()
ap... | code_fim | hard | {
"lang": "python",
"repo": "tdpsk/flask-miracle-acl",
"path": "/flask_miracle/base.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> Arguments:
resource -- the resource to check
permission -- the permission to check
roles -- a list of roles (default: None)
"""
if roles is None:
roles = self._determine_roles()
return self.acl.check_all(roles, resource, permission)
... | code_fim | hard | {
"lang": "python",
"repo": "tdpsk/flask-miracle-acl",
"path": "/flask_miracle/base.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if hasattr(cls, 'GRANTS'):
acl_dict['grants'] = cls.GRANTS
return self.load_from_dict(acl_dict)
def load_from_dict(self, acl_dict):
"""
Load acl data from dict, see load_acl for details
Arguments:
acl_dict -- the dictionary to import
... | code_fim | hard | {
"lang": "python",
"repo": "tdpsk/flask-miracle-acl",
"path": "/flask_miracle/base.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def inner(request, *args, **kwargs):
if request.method != "GET":
return json_405_response()
request.data = {}
return func(request, *args, **kwargs)
inner.__name__ = func.__name__
inner.__module__ = func.__module__
inner.__doc__ = func.__doc__
inner._... | code_fim | hard | {
"lang": "python",
"repo": "manibhushan05/tms",
"path": "/web/transiq/api/decorators.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: manibhushan05/tms path: /web/transiq/api/decorators.py
import json
from api.helper import json_405_response, json_error_response
def no_test(func):
"""
Use for URLs that do not require testing, use wisely
"""
def inner(request, *args, **kwargs):
return func(request, *ar... | code_fim | hard | {
"lang": "python",
"repo": "manibhushan05/tms",
"path": "/web/transiq/api/decorators.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if request.method != "GET":
return json_405_response()
request.data = {}
return func(request, *args, **kwargs)
inner.__name__ = func.__name__
inner.__module__ = func.__module__
inner.__doc__ = func.__doc__
inner.__dict__ = func.__dict__
return inner
... | code_fim | medium | {
"lang": "python",
"repo": "manibhushan05/tms",
"path": "/web/transiq/api/decorators.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wilbertgeng/LintCode_exercise path: /Binary_Search/462.py
"""462. Total Occurrence of Target
"""
class Solution:
"""
@param A: A an integer array sorted in ascending order
@param target: An integer
@return: An integer
"""
def totalOccurrence(self, A, target):
<|fim_suffix|... | code_fim | hard | {
"lang": "python",
"repo": "wilbertgeng/LintCode_exercise",
"path": "/Binary_Search/462.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> while start + 1 < end:
mid = (start + end) // 2
if A[mid] < target:
start = mid
else:
end = mid
occur = 0
if A[start] == target:
occur = start
elif A[end] == target:
occur = end
... | code_fim | hard | {
"lang": "python",
"repo": "wilbertgeng/LintCode_exercise",
"path": "/Binary_Search/462.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> line_num += 1
if len(line) in points_count_freq:
points_count_freq[len(line)] += 1
else:
points_count_freq[len(line)] = 1
if line_num <= start_from:
continue
# if line is not empty
if line and len(line) >= minimum_value... | code_fim | hard | {
"lang": "python",
"repo": "samadDotDev/fileStreamSimulation",
"path": "/parser.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: samadDotDev/fileStreamSimulation path: /parser.py
from csv import reader
import time
import argparse
# Define defaults
default_streaming_delay = 1 # Streaming Delay in seconds to generate a new values file for each trajectory (line) in output dir
default_minimum_values = 50 # Minimum number ... | code_fim | hard | {
"lang": "python",
"repo": "samadDotDev/fileStreamSimulation",
"path": "/parser.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>anna Featuring Mikky Ekko'): (2013, 13), ('Get Lucky', 'Daft Punk Featuring Pharrell Williams'): (2013, 14), ('I Knew You Were Trouble.', 'Taylor Swift'): (2013, 16), ("We Can't Stop", 'Miley Cyrus'): (2013, 17), ('Suit & Tie', 'Justin Timberlake Featuring JAY Z'): (2013, 20), ("Cups (Pitch Perfect's When... | code_fim | hard | {
"lang": "python",
"repo": "prathits012/songData",
"path": "/data/songs_dict.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: prathits012/songData path: /data/songs_dict.py
ant', 'Lady Gaga Featuring R. Kelly'): (2014, 84), ("Can't Remember To Forget You", 'Shakira Featuring Rihanna'): (2014, 85), ('Amnesia', '5 Seconds Of Summer'): (2014, 86), ('No Mediocre', 'T.I. Featuring Iggy Azalea'): (2014, 87), ('Come With Me No... | code_fim | hard | {
"lang": "python",
"repo": "prathits012/songData",
"path": "/data/songs_dict.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>no Mars'): (2013, 8), ('Cruise', 'Florida Georgia Line Featuring Nelly'): (2013, 9), ('Locked Out Of Heaven', 'Bruno Mars'): (2013, 11), ('Ho Hey', 'The Lumineers'): (2013, 12), ('Stay', 'Rihanna Featuring Mikky Ekko'): (2013, 13), ('Get Lucky', 'Daft Punk Featuring Pharrell Williams'): (2013, 14), ('I Kn... | code_fim | hard | {
"lang": "python",
"repo": "prathits012/songData",
"path": "/data/songs_dict.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
('ptart', '0003_project_conclusion'),
]
operations = [
migrations.AddField(
model_name='screenshot',
name='caption',
field=models.CharField(blank=True, default='', max_length=256),
),
]<|fim_prefix|># repo: cert... | code_fim | easy | {
"lang": "python",
"repo": "certmichelin/PTART",
"path": "/ptart/migrations/0004_screenshot_caption.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: certmichelin/PTART path: /ptart/migrations/0004_screenshot_caption.py
# Generated by Django 2.2.1 on 2019-07-01 16:19
<|fim_suffix|>
dependencies = [
('ptart', '0003_project_conclusion'),
]
operations = [
migrations.AddField(
model_name='screenshot',
... | code_fim | medium | {
"lang": "python",
"repo": "certmichelin/PTART",
"path": "/ptart/migrations/0004_screenshot_caption.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>flm = FLM(H, alpha, M=2, N=l, scale=0.035, correct_hurst=True)
flm.generate_realizations(nrealizations)
flm.autocorrelation()
h_estimate = np.log(2 * flm.acf[:, 1].mean() + 2) / (2 * np.log(2))
flm.plot_autocorrelation(label='Corrected Input H \n Estimated H: %.2f' % h_estimate, overlay=True, max_k=max_k)... | code_fim | hard | {
"lang": "python",
"repo": "NKM-ML/LLC_Membranes",
"path": "/Ben_Manuscripts/stochastic_transport/supporting_figures/demonstrate_hurst_correction.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NKM-ML/LLC_Membranes path: /Ben_Manuscripts/stochastic_transport/supporting_figures/demonstrate_hurst_correction.py
#!/usr/bin/env python
from LLC_Membranes.timeseries.fractional_levy_motion import FLM
import numpy as np
import matplotlib.pyplot as plt
<|fim_suffix|>flm = FLM(H, alpha, M=2, N=l... | code_fim | medium | {
"lang": "python",
"repo": "NKM-ML/LLC_Membranes",
"path": "/Ben_Manuscripts/stochastic_transport/supporting_figures/demonstrate_hurst_correction.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tefra/xsdata-w3c-tests path: /output/models/ms_data/datatypes/facets/long/long_max_inclusive003_xsd/__init__.py
from output.models.ms_data.datatypes.facets<|fim_suffix|>)
__all__ = [
"FooType",
"Test",
]<|fim_middle|>.long.long_max_inclusive003_xsd.long_max_inclusive003 import (
FooT... | code_fim | medium | {
"lang": "python",
"repo": "tefra/xsdata-w3c-tests",
"path": "/output/models/ms_data/datatypes/facets/long/long_max_inclusive003_xsd/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>clusive003 import (
FooType,
Test,
)
__all__ = [
"FooType",
"Test",
]<|fim_prefix|># repo: tefra/xsdata-w3c-tests path: /output/models/ms_data/datatypes/facets/long/long_max_inclusive003_xsd/__init__.py
from output.models.ms_data.datatypes.facets<|fim_middle|>.long.long_max_inclusive003_... | code_fim | easy | {
"lang": "python",
"repo": "tefra/xsdata-w3c-tests",
"path": "/output/models/ms_data/datatypes/facets/long/long_max_inclusive003_xsd/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Reads temperature em Celcius
"""
return self.read_short(65) / 340.0 + 36.53
def acceleration(self):
"""
Reads acceleration g
"""
return [(self.read_short(i) / 16384.0) for i in xrange(59, 65, 2)]
def data(self):
"""
... | code_fim | hard | {
"lang": "python",
"repo": "schindler/vibration_analyzer",
"path": "/raspberry/mpu6050/mpu6050.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: schindler/vibration_analyzer path: /raspberry/mpu6050/mpu6050.py
"""
MPU6050 Module
"""
try:
import smbus
except ImportError:
#Probably running test cases
import mocksmbus as smbus
from time import sleep
class Sensor(object):
"""
Basic configuration
https://www... | code_fim | medium | {
"lang": "python",
"repo": "schindler/vibration_analyzer",
"path": "/raspberry/mpu6050/mpu6050.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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