text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: TrendingTechnology/triangular-tpp path: /ttpp/gen/stationary_renewal.py
import numpy as np
from pathlib import Path
from scipy.stats import lognorm
dataset_dir = Path(__file__).parents[2] / 'data'
def generate(max_time, n_sequences, filename='stationary_renewal'):
times, nll = [], []
fo... | code_fim | medium | {
"lang": "python",
"repo": "TrendingTechnology/triangular-tpp",
"path": "/ttpp/gen/stationary_renewal.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> times.append(T)
nll.append(score)
if filename is not None:
mean_number_items = sum(len(t) for t in times) / len(times)
nll = [n/mean_number_items for n in nll]
np.savez(f'{dataset_dir}/{filename}.npz', arrival_times=times, nll=nll, t_max=max_time, mean_number_i... | code_fim | hard | {
"lang": "python",
"repo": "TrendingTechnology/triangular-tpp",
"path": "/ttpp/gen/stationary_renewal.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> shift : list, numpy.ndarray
A list of two coordinate shifts to be applied to coordinates
*before* ``matrix`` transformations are applied.
meta : dict, None, optional
Dictionary that will be merged to the object's ``meta`` fields.
**kwargs : opt... | code_fim | hard | {
"lang": "python",
"repo": "Shalmalee15/tweakwcs",
"path": "/tweakwcs/tpwcs.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Shalmalee15/tweakwcs path: /tweakwcs/tpwcs.py
xt[1] * yt[0] - xt[2] * yt[1] - xt[3] * yt[2] - xt[0] * yt[3]
)
pscale = float(np.sqrt(area))
return pscale
@property
def tanp_center_pixel_scale(self):
""" Estimate pixel scale in the tangent plane near ... | code_fim | hard | {
"lang": "python",
"repo": "Shalmalee15/tweakwcs",
"path": "/tweakwcs/tpwcs.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Shalmalee15/tweakwcs path: /tweakwcs/tpwcs.py
] + xt[1] * yt[2] + xt[2] * yt[3] + xt[3] * yt[0] -
xt[1] * yt[0] - xt[2] * yt[1] - xt[3] * yt[2] - xt[0] * yt[3]
)
pscale = float(np.sqrt(area))
return pscale
@property
def tanp_center_pixel_scale(self):
... | code_fim | hard | {
"lang": "python",
"repo": "Shalmalee15/tweakwcs",
"path": "/tweakwcs/tpwcs.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Auto add the requesting user."""
serializer.save(user=self.request.user)
def perform_update(self, serializer):
"""Auto add the requesting user."""
serializer.save(user=self.request.user)<|fim_prefix|># repo: jdalton92/trading-bot path: /server/orders/views.py
from ... | code_fim | hard | {
"lang": "python",
"repo": "jdalton92/trading-bot",
"path": "/server/orders/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jdalton92/trading-bot path: /server/orders/views.py
from core.permissions import IsAdminOrOwner
from rest_framework import viewsets
from rest_framework.permissions import IsAuthenticated
from .models import Order
from .serializers import OrderCreateSerializer, OrderSerializer
class OrderView(v... | code_fim | hard | {
"lang": "python",
"repo": "jdalton92/trading-bot",
"path": "/server/orders/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: w-mbugua/Fitness-api path: /app/utilities/validator.py
"""validation"""
import re
from ..auth.v1.model.users import UserModels
from ..auth.v1.model.exercise import ExerciseModel
class Validators:
"""class to hold validation methods"""
def valid_email(self, email):
"""method to va... | code_fim | medium | {
"lang": "python",
"repo": "w-mbugua/Fitness-api",
"path": "/app/utilities/validator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def password_confirm(self, password, confirm_password):
"""Method to confirm the password and confrm password are equal"""
return password == confirm_password
def hash_password(self, password):
"""method to hide the password"""
new_password = ['*' for i in password... | code_fim | hard | {
"lang": "python",
"repo": "w-mbugua/Fitness-api",
"path": "/app/utilities/validator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aio-libs/frozenlist path: /tests/test_frozenlist.py
from collections.abc import MutableSequence
import pytest
from frozenlist import FrozenList, PyFrozenList
class FrozenListMixin:
FrozenList = NotImplemented
SKIP_METHODS = {"__abstractmethods__", "__slots__"}
def test_subclass(... | code_fim | hard | {
"lang": "python",
"repo": "aio-libs/frozenlist",
"path": "/tests/test_frozenlist.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_gt(self) -> None:
_list = self.FrozenList([2])
assert _list > [1]
def test_insert(self) -> None:
_list = self.FrozenList([2])
_list.insert(0, 1)
assert _list == [1, 2]
def test_frozen_setitem(self) -> None:
_list = self.FrozenList([1])... | code_fim | hard | {
"lang": "python",
"repo": "aio-libs/frozenlist",
"path": "/tests/test_frozenlist.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> opcaoMenu = Biblioteca.menu()
elif opcaoMenu == 5: # Importar dados
print("• IMPORTANDO DADOS •")
Biblioteca.livros.append(Biblioteca.importarLivros())
Biblioteca.livros.pop(len(Biblioteca.livros)-1)
opcaoMenu = Biblioteca.menu()
... | code_fim | hard | {
"lang": "python",
"repo": "eduardojpsena/ProjetoBiblioteca-Python",
"path": "/projetoBiblioteca/Main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eduardojpsena/ProjetoBiblioteca-Python path: /projetoBiblioteca/Main.py
import json
import os.path
import Biblioteca
from reportlab.pdfgen import canvas
# Grupo: Eduardo José Pereira de Sena
# André Luis Moreira da Silva Santos
def main():
##lOGIN DO SISTEMA - id = admin / sen... | code_fim | hard | {
"lang": "python",
"repo": "eduardojpsena/ProjetoBiblioteca-Python",
"path": "/projetoBiblioteca/Main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def complete_restore(self, text, args, start_index, end_index):
if text:
return [
command
for command in self.logger_manager.all()
if command.startswith(text)
]
else:
return list(self.logger_manager.all... | code_fim | hard | {
"lang": "python",
"repo": "P0cL4bs/wifipumpkin3",
"path": "/wifipumpkin3/core/common/console.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: P0cL4bs/wifipumpkin3 path: /wifipumpkin3/core/common/console.py
cos Bomfim (mh4x0f)
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LIC... | code_fim | hard | {
"lang": "python",
"repo": "P0cL4bs/wifipumpkin3",
"path": "/wifipumpkin3/core/common/console.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: P0cL4bs/wifipumpkin3 path: /wifipumpkin3/core/common/console.py
http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, eit... | code_fim | hard | {
"lang": "python",
"repo": "P0cL4bs/wifipumpkin3",
"path": "/wifipumpkin3/core/common/console.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> pairs = [eval(p) for p in inp.splitlines() if p]
pairs.append([[2]])
pairs.append([[6]])
pairs.sort(key=cmp_to_key(compare))
for i, p in enumerate(pairs):
if p == [[2]]:
part2 *= i + 1
if p == [[6]]:
part2 *= i + 1
print("Part 1:", part1)
... | code_fim | medium | {
"lang": "python",
"repo": "benediktwerner/AdventOfCode",
"path": "/2022/day13/sol.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: benediktwerner/AdventOfCode path: /2022/day13/sol.py
#!/usr/bin/env python3
from os import path
from functools import cmp_to_key
def compare(a, b):
if type(a) == int:
if type(b) == int:
return (a > b) - (a < b)
return compare([a], b)
if type(b) == int:
... | code_fim | hard | {
"lang": "python",
"repo": "benediktwerner/AdventOfCode",
"path": "/2022/day13/sol.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> #print "TYPE:" + str(event.type)
#print "CODE:" + str(event.code)
#print "VALUE:" + str(event.value)
# DIGITAL
# SET KEY
if event.type == 1 and event.code == ev and event.value == 1:
ui.write(e.EV_KEY, keystroke, 1)
ui.syn()
# RELEASE KEY
if event.type == 1 and event.code == ev and ... | code_fim | hard | {
"lang": "python",
"repo": "tjschutte/RASPSWITCH",
"path": "/Software/JoyCtrl.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> time.sleep(0.02)
# Right controller
handle_button(JR_BUTTON_A, e.KEY_Q)
handle_button(JR_BUTTON_B, e.KEY_B)
handle_button(JR_BUTTON_X, e.KEY_X)
handle_button(JR_BUTTON_Y, e.KEY_Y)
handle_button(JR_BUTTON_START,e.KEY_RIGHTALT)
handle_button(JR_BUTTON_PLUS,e.KEY_ESC)
... | code_fim | hard | {
"lang": "python",
"repo": "tjschutte/RASPSWITCH",
"path": "/Software/JoyCtrl.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tjschutte/RASPSWITCH path: /Software/JoyCtrl.py
#!/usr/bin/python
import evdev
import uinput
import sys
import signal
import os
import time
import threading
import RPi.GPIO as GPIO
from evdev import UInput, ecodes as e
# Set pinmode on Broadcom SOC.
GPIO.setmode(GPIO.BCM)
# disable warnings
GPI... | code_fim | hard | {
"lang": "python",
"repo": "tjschutte/RASPSWITCH",
"path": "/Software/JoyCtrl.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pombredanne/GopherSnakeCrawlers path: /crawl.py
#!/usr/bin/env python
# monkey-patch
import gevent.monkey
gevent.monkey.patch_all()
import sys
import hashlib
import re
import requests
from requests.exceptions import ConnectionError, MissingSchema
import gevent.pool
from gevent.queue import Join... | code_fim | hard | {
"lang": "python",
"repo": "pombredanne/GopherSnakeCrawlers",
"path": "/crawl.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> while True:
item = q.get()
try:
do_work(item, crawler_id)
finally:
q.task_done()
#Spawning worker threads.
crawler_id = 0
for i in range(num_worker_threads):
gevent.spawn(worker, crawler_id)
crawler_id += 1
q.put(source)
links_added += 1
q.jo... | code_fim | hard | {
"lang": "python",
"repo": "pombredanne/GopherSnakeCrawlers",
"path": "/crawl.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> m = hashlib.md5()
m.update(response_content)
m.digest()
#Extract the links and add them to the queue. Using links_added
#counter to limit the number of links to fetch.
for link in re.findall('<a href="(http.*?)"', response_content):
if links_added < num_to_crawl:
... | code_fim | medium | {
"lang": "python",
"repo": "pombredanne/GopherSnakeCrawlers",
"path": "/crawl.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: otakesh/training-golang path: /sharedbuild/buildshare/client.py
from ctypes import POINTER, c_longlong, c_double, c_int, c_void_p, c_char_p, cdll, Structure, CFUNCTYPE, POINTER, sizeof, CDLL
import logging
log = logging.getLogger(__name__)
lib = cdll.LoadLibrary("./awesome.so")
# https://medium.... | code_fim | hard | {
"lang": "python",
"repo": "otakesh/training-golang",
"path": "/sharedbuild/buildshare/client.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> _fields_ = [("p", c_char_p), ("n", c_longlong)]
lib.Log.argtypes = [GoString]
msg = GoString(b"Morning Python!", 15)
print(lib.Log(msg))
msg = GoString(b"Hello Python!", 13)
print(lib.Log(msg))
msg = GoString(b"See you!", 8)
print(lib.Log(msg))<|fim_prefix|># repo: otakesh/training-golang path: /sh... | code_fim | hard | {
"lang": "python",
"repo": "otakesh/training-golang",
"path": "/sharedbuild/buildshare/client.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class GoString(Structure):
_fields_ = [("p", c_char_p), ("n", c_longlong)]
lib.Log.argtypes = [GoString]
msg = GoString(b"Morning Python!", 15)
print(lib.Log(msg))
msg = GoString(b"Hello Python!", 13)
print(lib.Log(msg))
msg = GoString(b"See you!", 8)
print(lib.Log(msg))<|fim_prefix|># repo: otakesh... | code_fim | hard | {
"lang": "python",
"repo": "otakesh/training-golang",
"path": "/sharedbuild/buildshare/client.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> parser.add_argument('-q', '--quality',
help='quality of a video. Default is 720',
choices=['360', '720', '1080'],
default='720')
parser.add_argument('-o', '--output_dir',
help='output directory. Defaul... | code_fim | hard | {
"lang": "python",
"repo": "StepicOrg/Stepik-API",
"path": "/examples/videos_downloader.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Check a video quality.
for url in video_step['video']['urls']:
if url['quality'] == args.quality:
video_link = url['url']
# If the is no required video quality then download
# with the best available quality.
... | code_fim | hard | {
"lang": "python",
"repo": "StepicOrg/Stepik-API",
"path": "/examples/videos_downloader.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: StepicOrg/Stepik-API path: /examples/videos_downloader.py
# 1. Go to https://stepik.org/oauth2/applications/
#
# 2. Register your application with settings:
# Client type: confidential
# Authorization Grant Type: client-credentials
#
# 3. Install requests module
# > pip install requests
... | code_fim | hard | {
"lang": "python",
"repo": "StepicOrg/Stepik-API",
"path": "/examples/videos_downloader.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chinganc/librl path: /rl/algorithms/__init__.py
from rl.algorithms.algorithm import Al<|fim_suffix|>olicyGradient
from rl.algorithms.pepg import ParameterExploringPolicyGradient<|fim_middle|>gorithm
from rl.algorithms.pg import P | code_fim | easy | {
"lang": "python",
"repo": "chinganc/librl",
"path": "/rl/algorithms/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>import ParameterExploringPolicyGradient<|fim_prefix|># repo: chinganc/librl path: /rl/algorithms/__init__.py
from rl.algorithms.algorithm import Algorithm
from rl.algorithms.pg import P<|fim_middle|>olicyGradient
from rl.algorithms.pepg | code_fim | easy | {
"lang": "python",
"repo": "chinganc/librl",
"path": "/rl/algorithms/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pythonyhd/finace path: /land_china/land_china/spiders/exprs.py
# -*- coding: utf-8 -*-
xpath_list = [
{
"name": "行政区:",
'key': "region",
"expr": ["//div[@id='p1']//td/span[contains(text(),'行政区:')]/parent::td/following-sibling::td[1]/span/text()",
"//s... | code_fim | hard | {
"lang": "python",
"repo": "pythonyhd/finace",
"path": "/land_china/land_china/spiders/exprs.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>td[1]/span/text()",
"//span[@id='mainModuleContainer_1855_1856_ctl00_ctl00_p1_f1_r22_c2_ctrl']/text()"]
},
{
"name": "约定竣工时间:",
"key": "appointed_achieve_date",
"expr": ["//div[@id='p1']//td/span[contains(text(),'约定竣工时间:')]/parent::td/following-sibling::td[... | code_fim | hard | {
"lang": "python",
"repo": "pythonyhd/finace",
"path": "/land_china/land_china/spiders/exprs.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cgoldberg/pywt path: /demo/wp_visualize_coeffs_distribution.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import numpy as np
import matplotlib.pyplot as plt
from pywt import WaveletPacket
import pywt.data
<|fim_suffix|>for level in range(1, wp.maxlevel + 1):
ax = fig.add_sub... | code_fim | hard | {
"lang": "python",
"repo": "cgoldberg/pywt",
"path": "/demo/wp_visualize_coeffs_distribution.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
ecg = pywt.data.ecg()
wp = WaveletPacket(ecg, 'sym5', maxlevel=4)
fig = plt.figure()
plt.set_cmap('bone')
ax = fig.add_subplot(wp.maxlevel + 1, 1, 1)
ax.plot(ecg, 'k')
ax.set_xlim(0, len(ecg) - 1)
ax.set_title("Wavelet packet coefficients")
for level in range(1, wp.maxlevel + 1):
ax = fig.add_subp... | code_fim | medium | {
"lang": "python",
"repo": "cgoldberg/pywt",
"path": "/demo/wp_visualize_coeffs_distribution.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def part_2(self):
return get_same_boxes_common_characters(self.items)
main = Solution.main
if __name__ == "__main__": # pragma: no cover
main()<|fim_prefix|># repo: EpicWink/advent-of-code-solutions path: /solutions_2018/day2.py
"""Day 2 solution.
https://adventofcode.com/2018/day/2
"... | code_fim | medium | {
"lang": "python",
"repo": "EpicWink/advent-of-code-solutions",
"path": "/solutions_2018/day2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: EpicWink/advent-of-code-solutions path: /solutions_2018/day2.py
"""Day 2 solution.
https://adventofcode.com/2018/day/2
"""
import logging as lg
import _common
_logger = lg.getLogger(__name__)
def compute_checksum(words): # TODO: document
counts2 = 0
counts3 = 0
for word in word... | code_fim | medium | {
"lang": "python",
"repo": "EpicWink/advent-of-code-solutions",
"path": "/solutions_2018/day2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def part_1(self):
return compute_checksum(self.items)
def part_2(self):
return get_same_boxes_common_characters(self.items)
main = Solution.main
if __name__ == "__main__": # pragma: no cover
main()<|fim_prefix|># repo: EpicWink/advent-of-code-solutions path: /solutions_201... | code_fim | hard | {
"lang": "python",
"repo": "EpicWink/advent-of-code-solutions",
"path": "/solutions_2018/day2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ydf0509/distributed_framework path: /function_scheduling_distributed_framework/consumers/redis_stream_consumer.py
# -*- coding: utf-8 -*-
# @Author : ydf
# @Time : 2021/4/3 0008 13:32
import json
import redis3
from function_scheduling_distributed_framework.consumers.base_consumer import Abstr... | code_fim | hard | {
"lang": "python",
"repo": "ydf0509/distributed_framework",
"path": "/function_scheduling_distributed_framework/consumers/redis_stream_consumer.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # self.redis_db_frame_version3.xack(self._queue_name, 'distributed_frame_group', kw['msg_id'])
# self.redis_db_frame_version3.xdel(self._queue_name, kw['msg_id']) # 便于xlen
with self.redis_db_frame_version3.pipeline() as pipe:
pipe.xack(self._queue_name, self.GROUP, kw['... | code_fim | hard | {
"lang": "python",
"repo": "ydf0509/distributed_framework",
"path": "/function_scheduling_distributed_framework/consumers/redis_stream_consumer.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> lock_key = f'fsdf_lock__requeue_tasks_which_unconfirmed:{self._queue_name}'
with decorators.RedisDistributedLockContextManager(self.redis_db_frame, lock_key, ) as lock:
if lock.has_aquire_lock:
self._distributed_consumer_statistics.send_heartbeat()
... | code_fim | hard | {
"lang": "python",
"repo": "ydf0509/distributed_framework",
"path": "/function_scheduling_distributed_framework/consumers/redis_stream_consumer.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''To define the agent's 1-step behavior given the `game`.
You can find more instance in [`agents.py`](game2048/agents.py).
:return direction: 0: left, 1: down, 2: right, 3: up
'''
direction = np.random.randint(0, 10)
if direction<3:
direction=0
elif... | code_fim | medium | {
"lang": "python",
"repo": "dotafreshman/2048-api",
"path": "/game2048/myAgent.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dotafreshman/2048-api path: /game2048/myAgent.py
import numpy as np
from game2048.agents import Agent
class myOwnAgent(Agent):
<|fim_suffix|> '''To define the agent's 1-step behavior given the `game`.
You can find more instance in [`agents.py`](game2048/agents.py).
... | code_fim | medium | {
"lang": "python",
"repo": "dotafreshman/2048-api",
"path": "/game2048/myAgent.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Code Below Loop Through A list
for word in linelist:
# Code Below Determine If A Element In A List Is Equal To "#" Character
if word[0] == '#':
# Code Below Adds Argument As A Single Element To The End Of A List
list_of_hashtags.app... | code_fim | hard | {
"lang": "python",
"repo": "Mangalis0/singularityteam10",
"path": "/powermetrics/powermetrics.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Mangalis0/singularityteam10 path: /powermetrics/powermetrics.py
import numpy as np
import pandas as pd
# FUNCTION 1
def dictionary_of_metrics(items):
"""
This function calculates the mean, median,
variance, standard deviation, minimum and maximum of list, items, which
contains ... | code_fim | hard | {
"lang": "python",
"repo": "Mangalis0/singularityteam10",
"path": "/powermetrics/powermetrics.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: recski/semantic_parsing_szte_bme path: /nli_baselines/Peter/Baseline_3.py
import spacy
import jsonlines
nlp=spacy.load('en')
def pair_avg(sent1,sent2):
doc=nlp(sent1)
docx=nlp(sent2)
simple2=[]
simple1=[]
for token in docx:
if token.is_stop==False:
simple2.appen... | code_fim | hard | {
"lang": "python",
"repo": "recski/semantic_parsing_szte_bme",
"path": "/nli_baselines/Peter/Baseline_3.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> TPC=True_Hit_Contradiction
FPC=Judged_Contradiction_When_Entailment+Judged_Contradiction_When_Neutral
TNC=all-FPC-TPC-Judged_Entailment_When_Contradiction-Judged_Neutral_When_Contradiction
FNC=Judged_Entailment_When_Contradiction+Judged_Neutral_When_Contradiction
CPrec=TPC/(TPC+FPC)
... | code_fim | hard | {
"lang": "python",
"repo": "recski/semantic_parsing_szte_bme",
"path": "/nli_baselines/Peter/Baseline_3.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> except (KeyError, TypeError):
logger.warning("No fqdn for %s returning None" % interface["ipv4"])
if fqdn_list and len(fqdn_list) > 1:
raise AttributeError("Should be only one: %s" % fqdn_list)
return fqdn_list[0] if fqdn_list else None<|fim_prefix|># repo: JulienBalestra/enjo... | code_fim | hard | {
"lang": "python",
"repo": "JulienBalestra/enjoliver",
"path": "/app/tools.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
A discovery machine give a FQDN. This method will do the resolution before insert in the db
:param interface:
:return:
"""
fqdn_list = []
try:
for name in interface["fqdn"]:
if EC.discovery_fqdn_verify is False:
logger.warning("Adding a n... | code_fim | hard | {
"lang": "python",
"repo": "JulienBalestra/enjoliver",
"path": "/app/tools.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JulienBalestra/enjoliver path: /app/tools.py
import logging
import socket
import time
from configs import EnjoliverConfig
logger = logging.getLogger(__file__)
EC = EnjoliverConfig()
def get_mac_from_raw_query(request_raw_query: str):
"""
Get MAC address inside a matchbox "request raw... | code_fim | hard | {
"lang": "python",
"repo": "JulienBalestra/enjoliver",
"path": "/app/tools.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@client.event
async def on_command_error(message, error):
if isinstance(error, commands.CommandNotFound):
await message.send(f'{message.author.mention} Invalid command, please try again.')
elif isinstance(error, commands.MissingRequiredArgument):
await message.send(f'{message.autho... | code_fim | hard | {
"lang": "python",
"repo": "Andrewvlad/planetside_elo",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Andrewvlad/planetside_elo path: /main.py
import os
import discord
from discord.ext import commands
from discord.utils import get
from decouple import config
import database_setup
database_setup.setup_db()
client = commands.Bot(command_prefix='!')
client.remove_command('help')
# TODO: def playe... | code_fim | hard | {
"lang": "python",
"repo": "Andrewvlad/planetside_elo",
"path": "/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: openmc-dev/openmc path: /tests/unit_tests/test_deplete_microxs.py
"""Basic unit tests for openmc.deplete.IndependentOperator instantiation
Modifies and resets environment variable OPENMC_CROSS_SECTIONS
to a custom file with new depletion_chain node
"""
from os import remove
from pathlib import ... | code_fim | hard | {
"lang": "python",
"repo": "openmc-dev/openmc",
"path": "/tests/unit_tests/test_deplete_microxs.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_csv():
ref_xs = MicroXS.from_csv(ONE_GROUP_XS)
ref_xs.to_csv('temp_xs.csv')
temp_xs = MicroXS.from_csv('temp_xs.csv')
assert np.all(ref_xs.data == temp_xs.data)
remove('temp_xs.csv')<|fim_prefix|># repo: openmc-dev/openmc path: /tests/unit_tests/test_deplete_microxs.py
"""Bas... | code_fim | hard | {
"lang": "python",
"repo": "openmc-dev/openmc",
"path": "/tests/unit_tests/test_deplete_microxs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: texervn/im2latex-5 path: /api_server/streamlit_app.py
import base64
import socket
import subprocess
from time import sleep
import requests
import streamlit as st
API_HOST = "0.0.0.0"
API_PORT = 60000
API_BASE_URL = f"http://{API_HOST}:{API_PORT}"
API_PREDICT_URL = f"{API_BASE_URL}/v1/predict"
... | code_fim | hard | {
"lang": "python",
"repo": "texervn/im2latex-5",
"path": "/api_server/streamlit_app.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not is_port_in_use(API_PORT):
with st.spinner("Starting the API..."):
print("Starting the API")
cmd = ["uvicorn", "api_server.main:app", "--host", f"{API_HOST}", "--port", f"{API_PORT}"]
subprocess.Popen(cmd, close_fds=True)
sleep(5)
def mai... | code_fim | medium | {
"lang": "python",
"repo": "texervn/im2latex-5",
"path": "/api_server/streamlit_app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> st.title("Image to LaTeX")
with st.form(key="imputs"):
st.markdown("## Upload an Image")
image = st.file_uploader("", type=["jpg", "png"])
st.form_submit_button(label="Upload")
with st.form(key="outputs"):
st.markdown("## Convert to LaTeX")
st.text("Up... | code_fim | hard | {
"lang": "python",
"repo": "texervn/im2latex-5",
"path": "/api_server/streamlit_app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def print_card(self):
pprint(vars(self))<|fim_prefix|># repo: ericschmar/hs-clock path: /preprocess/card.py
import sys
from pprint import pprint
class card:
def __init__(self, id=None, name=None, cost=None, attack=None, health=None, card_type=None):
<|fim_middle|> self.id = id
... | code_fim | hard | {
"lang": "python",
"repo": "ericschmar/hs-clock",
"path": "/preprocess/card.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ericschmar/hs-clock path: /preprocess/card.py
import sys
from pprint import pprint
class card:
<|fim_suffix|> self.id = id
self.name = ''.join(e for e in name if e.isalnum())
self.cost = cost
self.attack = attack
self.health = health
self.card_type ... | code_fim | medium | {
"lang": "python",
"repo": "ericschmar/hs-clock",
"path": "/preprocess/card.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: google/telluride_decoding path: /telluride_decoding/preprocess.py
A list containing a list(s) of reference channels that
correspond to the parallel lists in channels_to_ref.
channels_to_ref: A list containing a list(s) of channels to be referenced
that correspond to the parallel l... | code_fim | hard | {
"lang": "python",
"repo": "google/telluride_decoding",
"path": "/telluride_decoding/preprocess.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: google/telluride_decoding path: /telluride_decoding/preprocess.py
lowpass_cutoff,
'lp', output='sos', fs=self.fs_in)
self._lowpass_state = None # to be created later when we know sizes
else:
self._lowpass_sos = None
def init_chann... | code_fim | hard | {
"lang": "python",
"repo": "google/telluride_decoding",
"path": "/telluride_decoding/preprocess.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Sample data using output indices
data_out = np.zeros((frames_out, data.shape[1]))
for i in range(frames_out):
idx = min(frames_in - 1, idx_out[i])
data_out[i, :] = data[int(idx), :]
else:
# No resampling
data_out = data
return data_out
def rere... | code_fim | hard | {
"lang": "python",
"repo": "google/telluride_decoding",
"path": "/telluride_decoding/preprocess.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
return func(self, *args, **kwargs)
except Exception as e:
logger.exception('Error %s', e)
return error_func(e)
return wrapper
return _error_response<|fim_prefix|># repo: ojos/python-library path: /ojosjp/decorator.py... | code_fim | hard | {
"lang": "python",
"repo": "ojos/python-library",
"path": "/ojosjp/decorator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ojos/python-library path: /ojosjp/decorator.py
# -*- coding: utf-8 -*-
from __future__ import division, print_function, absolute_import, unicode_literals
import time
from logging import getLogger
<|fim_suffix|>def retry_handler(tries_remaining, exception, delay):
logger.warning("Caught '%s... | code_fim | hard | {
"lang": "python",
"repo": "ojos/python-library",
"path": "/ojosjp/decorator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gaoyuanning/index_selection_evaluation path: /tests/test_candidate_generation.py
import unittest
from unittest.mock import MagicMock
from selection.candidate_generation import (
candidates_per_query,
syntactically_relevant_indexes,
)
from selection.index import Index
from selection.workl... | code_fim | hard | {
"lang": "python",
"repo": "gaoyuanning/index_selection_evaluation",
"path": "/tests/test_candidate_generation.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> syntactically_relevant_indexes_mock = MagicMock(
return_value=syntactically_relevant_indexes
)
result = candidates_per_query(
workload,
max_index_width=MAX_INDEX_WIDTH,
candidate_generator=syntactically_relevant_indexes_mock,
... | code_fim | medium | {
"lang": "python",
"repo": "gaoyuanning/index_selection_evaluation",
"path": "/tests/test_candidate_generation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: he159ok/bert_crf path: /bert-crf4NER/test_seqeval.py
from seqeval.metrics import accuracy_score
from seqeval.metrics import classification_report
from seqeval.metrics import f1_score
# from seqeval.scheme import IOB2
# y_true = [['O', 'O', 'O', 'B-MISC', 'I-MISC', 'I-MISC', 'O'], ['B-PER', 'I-P... | code_fim | medium | {
"lang": "python",
"repo": "he159ok/bert_crf",
"path": "/bert-crf4NER/test_seqeval.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>print(f1)
print(de)
from seqeval.scheme import IOB2
st = classification_report(y_true, y_pred, mode='strict', scheme=IOB2)
print(st)<|fim_prefix|># repo: he159ok/bert_crf path: /bert-crf4NER/test_seqeval.py
from seqeval.metrics import accuracy_score
from seqeval.metrics import classification_report
from... | code_fim | medium | {
"lang": "python",
"repo": "he159ok/bert_crf",
"path": "/bert-crf4NER/test_seqeval.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: elsid/master path: /src/match_pattern/java_source_parser/test/model.py
# coding: utf-8
from os.path import dirname, join
from hamcrest import assert_that, equal_to, empty
from unittest import main
from utils import cached_method
from pattern_matcher import (
Model, Operation, Type, Primitive... | code_fim | hard | {
"lang": "python",
"repo": "elsid/master",
"path": "/src/match_pattern/java_source_parser/test/model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return Class('ConcreteDecorator', operations=[
Operation('operation', self.VOID, Visibility.PUBLIC,
is_static=False),
])
@cached_method
def create(self):
base = super(Decorator, self).create()
return Model(list(base.classifiers) + ... | code_fim | hard | {
"lang": "python",
"repo": "elsid/master",
"path": "/src/match_pattern/java_source_parser/test/model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # don't commit pack_metadata.json if already exists in the branch
if file_exists and content_file.file_name == 'pack_metadata.json':
return
response = demisto.executeCommand('azure-devops-branch-list', args={})
branches_list = response[0].get("Contents", {}).get("value", []) if res... | code_fim | hard | {
"lang": "python",
"repo": "demisto/content",
"path": "/Packs/ContentManagement/Scripts/CommitFiles/CommitFiles.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: demisto/content path: /Packs/ContentManagement/Scripts/CommitFiles/CommitFiles.py
from pathlib import Path
import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
import os
import io
from os.path import exists
from contextlib import redirect_stderr, redirect_s... | code_fim | hard | {
"lang": "python",
"repo": "demisto/content",
"path": "/Packs/ContentManagement/Scripts/CommitFiles/CommitFiles.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def searched_file_path(branch_name: str, content_file: ContentFile) -> bool:
full_path = Path(content_file.path_to_file, content_file.file_name)
if str(full_path) in files_path: # the files list, check if the file already exists in the list
return True
# try to get the file from bran... | code_fim | hard | {
"lang": "python",
"repo": "demisto/content",
"path": "/Packs/ContentManagement/Scripts/CommitFiles/CommitFiles.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def run(self):
logging.header('File ' + self._extension + ' handled by ' + self._handler)
file_handler_tool = self.__class__.file_handler_tool()
if file_handler_tool == FiletypeHandlerType.DUTI:
return Run(['duti', '-s', self._handler, self._extension, 'all']).run()... | code_fim | medium | {
"lang": "python",
"repo": "acoomans/prvsn",
"path": "/prvsnlib/tasks/filetype.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> logging.header('File ' + self._extension + ' handled by ' + self._handler)
file_handler_tool = self.__class__.file_handler_tool()
if file_handler_tool == FiletypeHandlerType.DUTI:
return Run(['duti', '-s', self._handler, self._extension, 'all']).run()
raise Exce... | code_fim | medium | {
"lang": "python",
"repo": "acoomans/prvsn",
"path": "/prvsnlib/tasks/filetype.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: acoomans/prvsn path: /prvsnlib/tasks/filetype.py
import logging
import subprocess
from prvsnlib.utils.run import Run
class FiletypeHandlerType:
DUTI = 'duti'
<|fim_suffix|> @classmethod
def file_handler_tool(cls, *args, **kwargs):
if not cls._file_handler_tool:
... | code_fim | medium | {
"lang": "python",
"repo": "acoomans/prvsn",
"path": "/prvsnlib/tasks/filetype.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jasarsoft/examples path: /python/us-opp/poglavlje10/primjer04.py
""" Program koji razlicita slova broji u tkestualnom
fajlu i prikazuje rezultat.
Broja se samo slova is ASCII podskupa bez obzira
da li su velika ili mala.
"""
#brojanje razlicitih slova u sturngu (ASCII podskup)
def b... | code_fim | medium | {
"lang": "python",
"repo": "jasarsoft/examples",
"path": "/python/us-opp/poglavlje10/primjer04.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for linija in infile:
#poziv funkcije brojacSlova za svaku liniju
brojacSlova(linija.lower(), brojac)
#prikaz rezultata
for i in range(len(brojac)):
if brojac[i] != 0:
print(chr(ord("a") + i) + " se pojavljuje "
+ str(brojac[i])
+ (" put " if brojac[i] == 1... | code_fim | medium | {
"lang": "python",
"repo": "jasarsoft/examples",
"path": "/python/us-opp/poglavlje10/primjer04.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>brojac = 26 * [0] #inicijalizacija brojaca slova
for linija in infile:
#poziv funkcije brojacSlova za svaku liniju
brojacSlova(linija.lower(), brojac)
#prikaz rezultata
for i in range(len(brojac)):
if brojac[i] != 0:
print(chr(ord("a") + i) + " se pojavljuje "
+ str(bro... | code_fim | hard | {
"lang": "python",
"repo": "jasarsoft/examples",
"path": "/python/us-opp/poglavlje10/primjer04.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hat27/puzzle path: /tests/maya/test_puzzle.py
import os
import sys
import unittest
import maya.standalone
maya.standalone.initialize()
import maya.cmds as cmds
MODULE_PATH = os.environ.get("PUZZLE_REPO_PATH")
if MODULE_PATH:
sys.path.append(MODULE_PATH)
PIECES_PATH = os.environ.get("PUZZL... | code_fim | hard | {
"lang": "python",
"repo": "hat27/puzzle",
"path": "/tests/maya/test_puzzle.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertEqual(cmds.objExists("a"), True)
self.assertEqual(cmds.objExists("b"), True)
self.assertEqual(cmds.objExists("c"), True)
self.assertEqual(cmds.getAttr("a.tx"), 10)
self.assertEqual(cmds.getAttr("b.ty"), 10)
self.assertEqual(cmds.getAttr("c.tz"), 10)
c... | code_fim | hard | {
"lang": "python",
"repo": "hat27/puzzle",
"path": "/tests/maya/test_puzzle.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if vis_variant.get('save_video_exp_policy', False):
filename = osp.join(logdir, 'video_{epoch}_exp.mp4'.format(epoch=epoch))
dump_video(image_env, algo.exploration_policy, filename, rollout_function,
**dump_video_kwargs... | code_fim | hard | {
"lang": "python",
"repo": "wuyx/LeapPaper",
"path": "/leap/railrl/launchers/rl_exp_launcher_util.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert NotImplementedError
def get_envs(variant):
from multiworld.core.image_env import ImageEnv
from railrl.envs.vae_wrappers import VAEWrappedEnv
from railrl.misc.asset_loader import load_local_or_remote_file
render = variant.get('render', False)
vae_path = variant.get("vae_pat... | code_fim | hard | {
"lang": "python",
"repo": "wuyx/LeapPaper",
"path": "/leap/railrl/launchers/rl_exp_launcher_util.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wuyx/LeapPaper path: /leap/railrl/launchers/rl_exp_launcher_util.py
)
her_kwargs = algo_kwargs['her_kwargs']
her_kwargs['observation_key'] = observation_key
her_kwargs['desired_goal_key'] = desired_goal_key
algorithm = HerTd3(
env,
qf1=qf1,
qf2=qf2,
... | code_fim | hard | {
"lang": "python",
"repo": "wuyx/LeapPaper",
"path": "/leap/railrl/launchers/rl_exp_launcher_util.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rfrowe/cse547 path: /src/scripts/data/standardize.py
#!/usr/bin/env python3
"""
standardize an existing dataset.
"""
from typing import List
from scipy import ndimage
from tqdm import tqdm
import utils.utility as _util
import utils.cmd_line as _cmd
import data.dataset as _dataset
import numpy... | code_fim | hard | {
"lang": "python",
"repo": "rfrowe/cse547",
"path": "/src/scripts/data/standardize.py",
"mode": "psm",
"license": "WTFPL",
"source": "the-stack-v2"
} |
<|fim_suffix|>def _get_standardized_name(dataset):
standardized_name = "{}_standardized".format(dataset)
return standardized_name
def main():
args = _cmd.parse_args_for_callable(standardize)
varsArgs = vars(args)
verbosity = varsArgs.pop('verbosity', _util.DEFAULT_VERBOSITY)
_logger.info("Pass... | code_fim | hard | {
"lang": "python",
"repo": "rfrowe/cse547",
"path": "/src/scripts/data/standardize.py",
"mode": "spm",
"license": "WTFPL",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gugarosa/opytimizer path: /examples/applications/single_objective/discrete_optimization.py
import numpy as np
from opytimark.markers.n_dimensional import Sphere
from opytimizer import Opytimizer
from opytimizer.core import Function
from opytimizer.optimizers.swarm import PSO
from opytimizer.spac... | code_fim | hard | {
"lang": "python",
"repo": "gugarosa/opytimizer",
"path": "/examples/applications/single_objective/discrete_optimization.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# Bundles every piece into Opytimizer class
opt = Opytimizer(space, optimizer, function, save_agents=False)
# Runs the optimization task
opt.start(
n_iterations=5, callbacks=[DiscreteSearchCallback(allowed_values=allowed_values)]
)<|fim_prefix|># repo: gugarosa/opytimizer path: /examples/applicatio... | code_fim | hard | {
"lang": "python",
"repo": "gugarosa/opytimizer",
"path": "/examples/applications/single_objective/discrete_optimization.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># on_starting is a gunicorn-specific server hook
def on_starting(server):
start_archiver_thread()<|fim_prefix|># repo: postmates/prometheus_client_python path: /prometheus_client/multiprocess_exporter.py
import logging
from .vendor import six
if six.PY3:
import _thread as thread_module
else:
... | code_fim | medium | {
"lang": "python",
"repo": "postmates/prometheus_client_python",
"path": "/prometheus_client/multiprocess_exporter.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: postmates/prometheus_client_python path: /prometheus_client/multiprocess_exporter.py
import logging
from .vendor import six
if six.PY3:
import _thread as thread_module
else:
import thread as thread_module
import time
import traceback
<|fim_suffix|>def archive_thread():
while True:
... | code_fim | hard | {
"lang": "python",
"repo": "postmates/prometheus_client_python",
"path": "/prometheus_client/multiprocess_exporter.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Thermodynamic fields
ys = []
ys.append(rho_bin[:, 1:kp_end])
ys.append(np.tile(kpbin[1:kp_end], (nt, 1))**(-5./3.)/kpbin[1]*np.tile(rho_bin[:,1], (kp_end-1, 1)).T)
ys.append(np.tile(kpbin[1:kp_end], (nt, 1))**(-3./2.)/kpbin[1]*np.tile(rho_bin[:,1], (kp_end-1, 1)).T)
ys = np.transpose(ys, (1,... | code_fim | hard | {
"lang": "python",
"repo": "ykawazura/calliope",
"path": "/diagnostics/MHD_COMP_ISOTH/plot_kspectrum.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ykawazura/calliope path: /diagnostics/MHD_COMP_ISOTH/plot_kspectrum.py
# -*- coding: utf-8 -*-
from load import *
from fft import *
from plots import *
print('\nplotting kspectrum\n')
outdir = './fig_kspectrum/'
if nlz == nkz:
kp_end = np.argmin(np.abs(kpbin - kpbin.max()*2./3.))
else:
kp_e... | code_fim | hard | {
"lang": "python",
"repo": "ykawazura/calliope",
"path": "/diagnostics/MHD_COMP_ISOTH/plot_kspectrum.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# Gets a URL that refers to this file
def static_url(path: str):
return urllib.parse.urljoin(STATIC_SERVER, path.replace(STATIC_DIR, ''))<|fim_prefix|># repo: guansss/christina path: /christina/net/static.py
import os
import urllib.parse
from pathlib import Path
STATIC_SERVER = os.environ['STATIC_S... | code_fim | easy | {
"lang": "python",
"repo": "guansss/christina",
"path": "/christina/net/static.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: guansss/christina path: /christina/net/static.py
import os
import urllib.parse
from pathlib import Path
<|fim_suffix|> return str(STATIC_DIR_PATH.joinpath(*path))
# Gets a URL that refers to this file
def static_url(path: str):
return urllib.parse.urljoin(STATIC_SERVER, path.replace(STA... | code_fim | hard | {
"lang": "python",
"repo": "guansss/christina",
"path": "/christina/net/static.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Gets an absolute path where this file should be saved
def static_file(*path: str):
return str(STATIC_DIR_PATH.joinpath(*path))
# Gets a URL that refers to this file
def static_url(path: str):
return urllib.parse.urljoin(STATIC_SERVER, path.replace(STATIC_DIR, ''))<|fim_prefix|># repo: guansss/... | code_fim | medium | {
"lang": "python",
"repo": "guansss/christina",
"path": "/christina/net/static.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Summarize the new activity on the console.
def notify_user(threads):
print('New messages in {} threads'.format(len(threads)))
for t in threads:
print('{subject} from {guest}'.format(**t))
def main():
client = lh3.api.Client()
mailboxes = [m['id'] for m in client.all('emails').ge... | code_fim | medium | {
"lang": "python",
"repo": "GeorgetownMakerHubOrg/libraryh3lpListener",
"path": "/libraryh3lp-sdk-python/examples/biff.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GeorgetownMakerHubOrg/libraryh3lpListener path: /libraryh3lp-sdk-python/examples/biff.py
#!/usr/bin/env python
# biff.py
# -------
# Poll 3mail for new messages and send notifications to the terminal.
# See https://www.freebsd.org/cgi/man.cgi?query=biff
#
# Usage: ./biff.py &
from datetime impo... | code_fim | hard | {
"lang": "python",
"repo": "GeorgetownMakerHubOrg/libraryh3lpListener",
"path": "/libraryh3lp-sdk-python/examples/biff.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Xiangs18/lstm-language-model path: /preprocess.py
import torch
import argparse
import data
def preprocess(opt):
print("Begin preprocessing")
train_dataset = data.DataSet(opt.train_data, display_freq=opt.display_freq)
train_dataset.max_dict = opt.dict_size
train_dataset.build_di... | code_fim | hard | {
"lang": "python",
"repo": "Xiangs18/lstm-language-model",
"path": "/preprocess.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
parser = argparse.ArgumentParser("Preprocessing")
parser.add_argument(
"--train_data",
type=str,
default="data/penn/train.txt",
help="Training data path",
)
parser.add_argument(
"--val_data",
type=str,
de... | code_fim | medium | {
"lang": "python",
"repo": "Xiangs18/lstm-language-model",
"path": "/preprocess.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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