text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: machakann/asyncomplete-ezfilter.vim path: /python3/asyncomplete_ezfilter.py
import re
class AsyncompleteEzfilter:
def match_filter(self, items, start, *, ignorecase=True):
if ignorecase:
pat = re.compile(re.escape(start), re.I)
else:
pat = re.compile(... | code_fim | hard | {
"lang": "python",
"repo": "machakann/asyncomplete-ezfilter.vim",
"path": "/python3/asyncomplete_ezfilter.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> thr = float(thr)
n = len(base)
matchlist = []
for x in items:
lead = x['word'][:n]
x['_distance'] = self.jaro_winkler_distance(lead, base, **kwargs)
if x['_distance'] <= thr:
matchlist.append(x)
matchlist.sort(key=... | code_fim | hard | {
"lang": "python",
"repo": "machakann/asyncomplete-ezfilter.vim",
"path": "/python3/asyncomplete_ezfilter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if a == "" and b == "":
return 1.0
elif a == "" or b == "":
return 0.0
if ignorecase:
a = a.upper()
b = b.upper()
if a == b:
return 1.0
na = len(a)
nb = len(b)
c, acommons, bcommons = self._... | code_fim | hard | {
"lang": "python",
"repo": "machakann/asyncomplete-ezfilter.vim",
"path": "/python3/asyncomplete_ezfilter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PetrochukM/PyTorch-NLP path: /tests/datasets/test_multi30k.py
import os
import mock
from torchnlp.datasets import multi30k_dataset
from tests.datasets.utils import urlretrieve_side_effect
multi30k_directory = 'tests/_test_data/multi30k'
@mock.patch("urllib.request.urlretrieve")
def test_mult... | code_fim | medium | {
"lang": "python",
"repo": "PetrochukM/PyTorch-NLP",
"path": "/tests/datasets/test_multi30k.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> mock_urlretrieve.side_effect = urlretrieve_side_effect
# Check a row are parsed correctly
train, dev, test = multi30k_dataset(
directory=multi30k_directory, test=True, dev=True, train=True)
assert len(train) > 0
assert len(dev) > 0
assert len(test) > 0
assert train[0] ... | code_fim | medium | {
"lang": "python",
"repo": "PetrochukM/PyTorch-NLP",
"path": "/tests/datasets/test_multi30k.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Kadantte/anime-downloader path: /anime_downloader/players/iina.py
from anime_downloader.players.baseplayer import BasePlayer
from anime_downloader.players.mpv import get_mpv_configfile
from anime_downloader import config
from anime_downloader.config import Config
import os
class iina(BasePlaye... | code_fim | medium | {
"lang": "python",
"repo": "Kadantte/anime-downloader",
"path": "/anime_downloader/players/iina.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> STOP = 50
NEXT = 51
CONNECT_ERR = 2
def _get_executable_windows(self):
return 'iina.exe'
def _get_executable_posix(self):
return 'iina'
@property
def args(self):
# Doesnt use the referer if it's none
launchArgs = Config['watch']['iina_argument... | code_fim | medium | {
"lang": "python",
"repo": "Kadantte/anime-downloader",
"path": "/anime_downloader/players/iina.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: joshmitcho/mcmasterq path: /csvGenerate.py
from sys import argv
# ------------- CSV 1: Edit Original -------------
dFile = open(argv[1], 'r')
dData = dFile.read().split('\n')
dFile.close()
dFile = open(argv[1], 'w')
if (dData[0][0] == 'p'):
dFile.write(dData[0] + '\n')
else:
dFile.write('pa... | code_fim | hard | {
"lang": "python",
"repo": "joshmitcho/mcmasterq",
"path": "/csvGenerate.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>master = []
for entry in range(len(aList[0])):
numNums = len(aList[0][entry][-1])
for i in range(numNums):
sub = [aList[0][entry][0]]
for line in aList[:len(aList)]:
sub.append(line[entry][-1][i])
master.append(sub)
aFile.write('ranking')
for i in range(len(aList)):
aFile.write(';qsort' + s... | code_fim | hard | {
"lang": "python",
"repo": "joshmitcho/mcmasterq",
"path": "/csvGenerate.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>aList = aList[:len(aList)-1]
master = []
for entry in range(len(aList[0])):
numNums = len(aList[0][entry][-1])
for i in range(numNums):
sub = [aList[0][entry][0]]
for line in aList[:len(aList)]:
sub.append(line[entry][-1][i])
master.append(sub)
aFile.write('ranking')
for i in range(len(aLis... | code_fim | hard | {
"lang": "python",
"repo": "joshmitcho/mcmasterq",
"path": "/csvGenerate.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: meeron/pybinn path: /test_pybinn.py
from time import time
from datetime import datetime
from io import BytesIO
import pybinn
class TestPyBinn:
"""PyBinn tests"""
def setup_method(self, method):
"""Setup method"""
self._test = [
True, False, None,
... | code_fim | hard | {
"lang": "python",
"repo": "meeron/pybinn",
"path": "/test_pybinn.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_dict_with_bytes_key(self):
test_dict = {
b'12345678': "this is test value"
}
assert test_dict == pybinn.loads(pybinn.dumps(test_dict))
class MockObj:
DATATYPE = b'\xf0'
def __init__(self, name):
self.name = name
class MockObjEncoder(pyb... | code_fim | hard | {
"lang": "python",
"repo": "meeron/pybinn",
"path": "/test_pybinn.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PlatONnetwork/client-sdk-python path: /tests/sdk_test1.py
from client_sdk_python import Web3, HTTPProvider
from client_sdk_python.eth import PlatON
from client_sdk_python.packages.platon_keys.utils import bech32,address
from hexbytes import HexBytes
from client_sdk_python.packages.eth_utils impor... | code_fim | hard | {
"lang": "python",
"repo": "PlatONnetwork/client-sdk-python",
"path": "/tests/sdk_test1.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>w3.personal.unlockAccount(from_address, "123456", 999999)
data={
"from": from_address,
"to": to_address,
"value": 1,
"gas": 1000000,
"gasPrice": 1000000000,
}
# provider = RPC connection http://10.1.1.2:6789
transaction_hex = HexBytes(platon.sendTransaction(data)).hex()
# b'{"jsonrpc":... | code_fim | hard | {
"lang": "python",
"repo": "PlatONnetwork/client-sdk-python",
"path": "/tests/sdk_test1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># sendtransaction
to_address = 'lax1qqqjkfwu854vf3ze2dpy5gctmxy3gdgzsngj66'
## Address = bech32.bech32_decode(from_address)
# hrpgot, data = bech32.decode("lax", from_address)
# from_address = to_checksum_address(bytes(data)).lower()
# # arguments = tuple(address.split(","))
# hrpgot, data = bech32.decode... | code_fim | hard | {
"lang": "python",
"repo": "PlatONnetwork/client-sdk-python",
"path": "/tests/sdk_test1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Yucky, but easiest way to convert nested default dict to nested dict.
d = json.loads(json.dumps(d))
return d<|fim_prefix|># repo: uptick/pyworkflowmax path: /workflowmax/utils.py
import json
import re
from collections import defaultdict
<|fim_middle|>
def xml_to_dict(xml):
nodes = re.... | code_fim | hard | {
"lang": "python",
"repo": "uptick/pyworkflowmax",
"path": "/workflowmax/utils.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: uptick/pyworkflowmax path: /workflowmax/utils.py
import json
import re
from collections import defaultdict
<|fim_suffix|> # Yucky, but easiest way to convert nested default dict to nested dict.
d = json.loads(json.dumps(d))
return d<|fim_middle|>def xml_to_dict(xml):
nodes = re.... | code_fim | hard | {
"lang": "python",
"repo": "uptick/pyworkflowmax",
"path": "/workflowmax/utils.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> nodes = re.findall('(<([^>]*)>(.*?)</\\2>)', xml, re.DOTALL)
if len(nodes) == 0:
return xml
d = defaultdict(list)
for node in nodes:
d[node[1]].append(xml_to_dict(node[2]))
# Yucky, but easiest way to convert nested default dict to nested dict.
d = json.loads(json.... | code_fim | easy | {
"lang": "python",
"repo": "uptick/pyworkflowmax",
"path": "/workflowmax/utils.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SVMadhavaReddy/KryptoBot path: /kryptobot/ta/pyti_directional_indicators.py
from .generic_indicator import GenericIndicator
from pyti.directional_indicators import positive_directional_movement, negative_directional_movement, positive_directional_index, negative_directional_index, average_directi... | code_fim | hard | {
"lang": "python",
"repo": "SVMadhavaReddy/KryptoBot",
"path": "/kryptobot/ta/pyti_directional_indicators.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, market, interval, periods, params=None):
super().__init__(market, interval, periods, None, None, params)
self.value = {}
def next_calculation(self, candle):
if self.get_datawindow() is not None:
high = self.get_high()
low = self.g... | code_fim | medium | {
"lang": "python",
"repo": "SVMadhavaReddy/KryptoBot",
"path": "/kryptobot/ta/pyti_directional_indicators.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fseimb/moviebot-1 path: /moviebot/controller/messenger.py
"""This file contains a Messenger class which sends post requests to the facebook API."""
import requests
class Messenger:
def __init__(self, user_id, token):
"""Initializes structs and uri's for Messenger."""
self.... | code_fim | hard | {
"lang": "python",
"repo": "fseimb/moviebot-1",
"path": "/moviebot/controller/messenger.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Posts a button template of type url_button.
Args:
title: button title
options: structs with values
Returns:
post request containing url_button json and url_button uri
"""
buttons = self.create_buttons(options)
templa... | code_fim | hard | {
"lang": "python",
"repo": "fseimb/moviebot-1",
"path": "/moviebot/controller/messenger.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def buttons_template(self, buttons, text):
"""Sends a button template with different button types.
Args:
buttons: list of buttons
text: template title
Returns:
post request with button template json and button template uri
... | code_fim | hard | {
"lang": "python",
"repo": "fseimb/moviebot-1",
"path": "/moviebot/controller/messenger.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dcramer/cask-server path: /cask/cask/migrations/0001_initial.py
# Generated by Django 2.1 on 2018-08-09 21:59
import uuid
import django.db.models.deletion
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
<|fim_suffix|> depende... | code_fim | hard | {
"lang": "python",
"repo": "dcramer/cask-server",
"path": "/cask/cask/migrations/0001_initial.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
("spirits", "0001_initial"),
("world", "0001_initial"),
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name="CheckIn",
fields=[
(
"... | code_fim | hard | {
"lang": "python",
"repo": "dcramer/cask-server",
"path": "/cask/cask/migrations/0001_initial.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.CreateModel(
name="CheckIn",
fields=[
(
"id",
models.UUIDField(
default=uuid.uuid4,
editable=False,
primary_key=True... | code_fim | hard | {
"lang": "python",
"repo": "dcramer/cask-server",
"path": "/cask/cask/migrations/0001_initial.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>_description=open('README.md').read(),
license='MIT',
author='Amir Ziai, Quan Hua',
keywords=['ai', 'tensorflow', 'deep learning'],
url='https://github.com/aiwithtf/aiwithtf'
)<|fim_prefix|># repo: aiwithtf/aiwithtf path: /setup.py
from setuptools import setup, find_packages
setup(
n... | code_fim | medium | {
"lang": "python",
"repo": "aiwithtf/aiwithtf",
"path": "/setup.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aiwithtf/aiwithtf path: /setup.py
from setuptools import setup, find_packages
setup(
name='aiwithtf',
version='0.0.1',
packages=find_packages(),
description='Artificial Intelligence with TensorFlow',
long<|fim_suffix|>keywords=['ai', 'tensorflow', 'deep learning'],
url='h... | code_fim | medium | {
"lang": "python",
"repo": "aiwithtf/aiwithtf",
"path": "/setup.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> engine.qcircuit.cx(qep_target, any_piece_ancilla)
engine.qcircuit.cx(qtarget, any_piece_ancilla)
engine.qcircuit.x(any_piece_ancilla)
engine.qcircuit.unitary(iSwap_controlled, [qep_target, captured_ancilla1, any_piece_ancilla])
engine.qcircuit.unitary(iSwap_controlled, [qtarget... | code_fim | hard | {
"lang": "python",
"repo": "hsrijay/quantum-chess",
"path": "/quantum-chess/qchess/engines/qiskit/qutils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hsrijay/quantum-chess path: /quantum-chess/qchess/engines/qiskit/qutils.py
import math
from qiskit import QuantumCircuit, QuantumRegister
from qiskit.quantum_info.operators import Operator
from qiskit import Aer
from qiskit import execute
from qiskit.tools.visualization import plot_histogr... | code_fim | hard | {
"lang": "python",
"repo": "hsrijay/quantum-chess",
"path": "/quantum-chess/qchess/engines/qiskit/qutils.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> #perform the other jump
engine.qcircuit.x(path_ancilla2)
engine.qcircuit.ccx(path_ancilla1, path_ancilla2, control_ancilla)
engine.qcircuit.unitary(iSwap_controlled, [qsingle, qdouble2, control_ancilla])
engine.qcircuit.x(path_ancilla2)
def perform_split_slide(engine, source, ta... | code_fim | hard | {
"lang": "python",
"repo": "hsrijay/quantum-chess",
"path": "/quantum-chess/qchess/engines/qiskit/qutils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> title = "[MSS] FPS benchmark"
fps = 0
sct = mss.mss()
last_time = time.time()
while time.time() - last_time < 1:
img = numpy.asarray(sct.grab(mon))
fps += 1
return fps
def main():
sct = mss.mss()
g = get_percents(sct, 1920, 1080, 0)
while True:
... | code_fim | medium | {
"lang": "python",
"repo": "jaketerrito/melee_ai",
"path": "/test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> while time.time() - last_time < 1:
img = numpy.asarray(sct.grab(mon))
fps += 1
return fps
def main():
sct = mss.mss()
g = get_percents(sct, 1920, 1080, 0)
while True:
print(next(g))
main()<|fim_prefix|># repo: jaketerrito/melee_ai path: /test.py
import time
i... | code_fim | medium | {
"lang": "python",
"repo": "jaketerrito/melee_ai",
"path": "/test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jaketerrito/melee_ai path: /test.py
import time
import mss
import numpy
import matplotlib.pyplot as plt
from PIL import Image
from percentages import get_percents
# Screenshot stress test
def screen_record_efficient():
# 800x600 windowed mode
mon = {"top": 0, "left": 0, "width": 320, "he... | code_fim | medium | {
"lang": "python",
"repo": "jaketerrito/melee_ai",
"path": "/test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> yield make_batch(user, project, cycle, batch_request)
@pytest.fixture
def create_cycletest_request():
yield {
'startDate': datetime.datetime.utcnow().timestamp(),
'cellId': 'cell',
'batteryType': 'NiCd',
'channel': '2',
'comments': 'comments',
'publ... | code_fim | hard | {
"lang": "python",
"repo": "OpenChemistry/edp",
"path": "/server/tests/conftest.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>@pytest.fixture
def cycle_request():
return {
'startDate': datetime.datetime.utcnow().timestamp(),
'title': 'title',
'public': True
}
@pytest.fixture
def make_cycle(server):
from girder.plugins.edp.models.cycle import Cycle
cycles = []
def _make_cycle(user, pr... | code_fim | hard | {
"lang": "python",
"repo": "OpenChemistry/edp",
"path": "/server/tests/conftest.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OpenChemistry/edp path: /server/tests/conftest.py
import pytest
import datetime
import json
import six
import os
from pytest_girder.assertions import assertStatus
from girder.models.upload import Upload
from girder.models.file import File
from girder.models.folder import Folder
@pytest.fixture
... | code_fim | hard | {
"lang": "python",
"repo": "OpenChemistry/edp",
"path": "/server/tests/conftest.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alanl/ida-msdn-annotator path: /msdn-annotator/qt4/IDB_MSDN_Annotator/xml_parser_structure.py
"""
Parse XML file containing MSDN structure documentation.
Author: Bingchang, Liu
Copyright 2016 VARAS, IIE of CAS
TODO: License
Based on Fireeye's' code at
https://github.com/fireeye/flare-... | code_fim | hard | {
"lang": "python",
"repo": "alanl/ida-msdn-annotator",
"path": "/msdn-annotator/qt4/IDB_MSDN_Annotator/xml_parser_structure.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.inTitle = 0
self.mapping = {}
self.current_step = 0
self.structures = []
self._logger = logging.getLogger(__name__ + '.' + self.__class__.__name__)
def startElement(self, name, attributes):
if name == "msdn":
pass
elif ... | code_fim | hard | {
"lang": "python",
"repo": "alanl/ida-msdn-annotator",
"path": "/msdn-annotator/qt4/IDB_MSDN_Annotator/xml_parser_structure.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LeopoldWalther/UDND-Data-Structures-and-Algorithms path: /Project_2/problem_2/problem_2.py
# You are given a target value to search. If found in the array return its index, otherwise return -1.
# You can assume there are no duplicates in the array and your algorithm's runtime complexity must be O... | code_fim | hard | {
"lang": "python",
"repo": "LeopoldWalther/UDND-Data-Structures-and-Algorithms",
"path": "/Project_2/problem_2/problem_2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> elif input_list[end] >= input_list[mid]: # then right side ordered
if input_list[end] >= target > input_list[mid]: # then target value in right side
return rotated_array_search_recursive(input_list, target, mid+1, end)
else:
return rotated_array_search_recursi... | code_fim | hard | {
"lang": "python",
"repo": "LeopoldWalther/UDND-Data-Structures-and-Algorithms",
"path": "/Project_2/problem_2/problem_2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> get(self, **self.conan_data["sources"][self.version],
destination=self._source_subfolder, strip_root=True)
@contextlib.contextmanager
def _build_context(self):
if self.settings.compiler == "Visual Studio":
with tools.vcvars(self.settings):
... | code_fim | hard | {
"lang": "python",
"repo": "ericLemanissier/conan-center-index",
"path": "/recipes/xorg-proto/all/conanfile.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ericLemanissier/conan-center-index path: /recipes/xorg-proto/all/conanfile.py
from conan import ConanFile
from conan.tools.files import rmdir, mkdir, save, load, get, apply_conandata_patches
from conans import AutoToolsBuildEnvironment, tools
import contextlib
import glob
import os
import re
impo... | code_fim | hard | {
"lang": "python",
"repo": "ericLemanissier/conan-center-index",
"path": "/recipes/xorg-proto/all/conanfile.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # self.info.header_only() would be fine too, but keep the os to add c3i test coverage for Windows.
del self.info.settings.arch
del self.info.settings.build_type
del self.info.settings.compiler
def source(self):
get(self, **self.conan_data["sources"][self.versio... | code_fim | hard | {
"lang": "python",
"repo": "ericLemanissier/conan-center-index",
"path": "/recipes/xorg-proto/all/conanfile.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tzoiker/aiomisc path: /aiomisc/plugins.py
import logging
import os
from types import MappingProxyType
from typing import Callable, Mapping
def setup_plugins() -> Mapping[str, Callable]:
<|fim_suffix|>if __name__ == "__main__":
from aiomisc_log import LogFormat, basic_config
basic_confi... | code_fim | hard | {
"lang": "python",
"repo": "tzoiker/aiomisc",
"path": "/aiomisc/plugins.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>plugins: Mapping[str, Callable] = setup_plugins()
__all__ = ("plugins",)
if __name__ == "__main__":
from aiomisc_log import LogFormat, basic_config
basic_config(log_format=LogFormat.plain)
logging.info("Available %s plugins.", len(plugins))
for name in plugins:
print(name)<|fi... | code_fim | hard | {
"lang": "python",
"repo": "tzoiker/aiomisc",
"path": "/aiomisc/plugins.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CaiBirdHSA/xinvert path: /tests/testIshida.py
# -*- coding: utf-8 -*-
"""
Created on 2021.04.23
@author: MiniUFO
Copyright 2018. All rights reserved. Use is subject to license terms.
"""
#%% classical cases
import numpy as np
import xarray as xr
from xgrads.xgrads import open_CtlDataset
xnum = ... | code_fim | hard | {
"lang": "python",
"repo": "CaiBirdHSA/xinvert",
"path": "/tests/testIshida.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ax = axes[0]
plot(h1.where(h1!=undef)/1e6*depth, ax=ax, ptype='both', cmap='greens',
fmt='%1.0f', ylabel='y-coordinate (m)', cbarpos='horizontal',
clevs=np.linspace(-90, 90, 37), xlabel='x-coordinate (m)')
ax.set_title('R = R0', fontsize=fontsize)
# p=ax.quiver(xgrid.values[::skip,::skip+2], ygr... | code_fim | hard | {
"lang": "python",
"repo": "CaiBirdHSA/xinvert",
"path": "/tests/testIshida.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> op = core.CreateOperator(
'LearningRate',
'data',
'out',
policy="hill",
base_lr=base_lr,
num_iter=num_iter,
start_multiplier=start_multiplier,
gamma=gamma,
power=power,
end_multi... | code_fim | hard | {
"lang": "python",
"repo": "sunpan822/caffe2",
"path": "/caffe2/python/operator_test/learning_rate_op_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> iter = np.random.randint(low=1, high=1e5, size=1)
num_iter = int(np.random.randint(low=1e2, high=1e3, size=1))
start_multiplier = 1e-4
gamma = 1.0
power = 0.5
end_multiplier = 1e-2
base_lr = float(np.random.random(1))
def ref(iter):
... | code_fim | hard | {
"lang": "python",
"repo": "sunpan822/caffe2",
"path": "/caffe2/python/operator_test/learning_rate_op_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sunpan822/caffe2 path: /caffe2/python/operator_test/learning_rate_op_test.py
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core
import caffe2.python.hypothesis_test_ut... | code_fim | hard | {
"lang": "python",
"repo": "sunpan822/caffe2",
"path": "/caffe2/python/operator_test/learning_rate_op_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: villesavolainen/python-cozify path: /cozify/cloud_api.py
"""Module for handling Cozify Cloud API 1:1 functions
Attributes:
cloudBase(str): API endpoint including version
"""
import json
import requests
from .Error import APIError, AuthenticationError, ConnectionError
cloudBase = 'https:/... | code_fim | hard | {
"lang": "python",
"repo": "villesavolainen/python-cozify",
"path": "/cozify/cloud_api.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Returns:
requests.response: Requests response object.
"""
if data:
return put('/hub/remote' + apicall, headers=headers, data=data, raw=True)
else:
return get('/hub/remote' + apicall, headers=headers, raw=True)
def _call(*,
call,
method,
... | code_fim | hard | {
"lang": "python",
"repo": "villesavolainen/python-cozify",
"path": "/cozify/cloud_api.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """1:1 implementation of user/hubkeys
Args:
cloud_token(str) Cloud remote authentication token.
Returns:
dict: Map of hub_id: hub_token pairs.
"""
headers = {'Authorization': cloud_token}
return get('/user/hubkeys', headers=headers, **kwargs)
def refreshsession(... | code_fim | hard | {
"lang": "python",
"repo": "villesavolainen/python-cozify",
"path": "/cozify/cloud_api.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 1ucian0/qiskit-terra path: /qiskit/result/distributions/quasi.py
# This code is part of Qiskit.
#
# (C) Copyright IBM 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree ... | code_fim | hard | {
"lang": "python",
"repo": "1ucian0/qiskit-terra",
"path": "/qiskit/result/distributions/quasi.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Returns:
dict: A dictionary where the keys are binary strings in the format
``"0110"``
"""
n = self._num_bits if num_bits is None else num_bits
return {format(key, "b").zfill(n): value for key, value in self.items()}
def hex_probabilities(se... | code_fim | hard | {
"lang": "python",
"repo": "1ucian0/qiskit-terra",
"path": "/qiskit/result/distributions/quasi.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OlegDurandin/dtree2vec path: /dep_tree_embedding.py
from typing import List
import networkx as nx
import pandas as pd
from tqdm import tqdm
from joblib import Parallel, delayed
from gensim.models.doc2vec import Doc2Vec, TaggedDocument
# This file contain realization of different represent... | code_fim | hard | {
"lang": "python",
"repo": "OlegDurandin/dtree2vec",
"path": "/dep_tree_embedding.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class DepTreeEmbedding:
def __init__(self,
extractorInstance,
doc2vecargs: dict
):
self.Extractor = extractorInstance
self.doc2vecargs = doc2vecargs
self.workers = self.doc2vecargs['workers']
self.model_fit = ... | code_fim | hard | {
"lang": "python",
"repo": "OlegDurandin/dtree2vec",
"path": "/dep_tree_embedding.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return str(locale.currency(self.price, grouping=True))
def seller_string(self):
return " ".join([self.seller.first_name, self.seller.last_name])
def liked_by_current_user(self, user_id):
likes = self.likes.filter(id=user_id)
# If user has liked this product
... | code_fim | hard | {
"lang": "python",
"repo": "solanum-tuberosums/djangazon",
"path": "/website/models/product_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: solanum-tuberosums/djangazon path: /website/models/product_model.py
"""
djangazon model configuration for product
"""
from django.db import models
from django.db.models import Sum
from django.contrib.auth.models import User
from website.models.product_category_model import ProductCategory
import... | code_fim | hard | {
"lang": "python",
"repo": "solanum-tuberosums/djangazon",
"path": "/website/models/product_model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xpspectre/test-ci path: /tests/test_run.py
import unittest
from test_ci.run import add, sub
<|fim_suffix|> def test_add(self):
self.assertEqual(add(1, 2), 3)
def test_sub(self):
self.assertEqual(sub(5, 4), 1)<|fim_middle|>
class RunTest(unittest.TestCase):
| code_fim | easy | {
"lang": "python",
"repo": "xpspectre/test-ci",
"path": "/tests/test_run.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_add(self):
self.assertEqual(add(1, 2), 3)
def test_sub(self):
self.assertEqual(sub(5, 4), 1)<|fim_prefix|># repo: xpspectre/test-ci path: /tests/test_run.py
import unittest
from test_ci.run import add, sub
<|fim_middle|>
class RunTest(unittest.TestCase):
| code_fim | easy | {
"lang": "python",
"repo": "xpspectre/test-ci",
"path": "/tests/test_run.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertEqual(add(1, 2), 3)
def test_sub(self):
self.assertEqual(sub(5, 4), 1)<|fim_prefix|># repo: xpspectre/test-ci path: /tests/test_run.py
import unittest
from test_ci.run import add, sub
<|fim_middle|>
class RunTest(unittest.TestCase):
def test_add(self):
| code_fim | easy | {
"lang": "python",
"repo": "xpspectre/test-ci",
"path": "/tests/test_run.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_tags(tags_list):
# Takes a list of tags, prepares each tag and joins them into a string by the pipe character
return prepare_feature("|".join(tags_list))
def remove_unsafe_characters(string: str, unsafe_characters=None) -> str:
# Any characters to exclude, generally these are things... | code_fim | hard | {
"lang": "python",
"repo": "Valzavator/YouTubeTrendingVideosAnalysis",
"path": "/processing_tool/data_preprocessing.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Valzavator/YouTubeTrendingVideosAnalysis path: /processing_tool/data_preprocessing.py
import json
from util.args import Args
def match_category_id_with_category_title(videos_data: list, category_id_file_path=None) -> list:
if videos_data is None:
raise ValueError('Videos data can`t... | code_fim | hard | {
"lang": "python",
"repo": "Valzavator/YouTubeTrendingVideosAnalysis",
"path": "/processing_tool/data_preprocessing.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PrincetonUniversity/PsyNeuLink path: /psyneulink/library/compositions/pytorchllvmhelper.py
from psyneulink.core import llvm as pnlvm
__all__ = ["gen_inject_vec_binop",
"gen_inject_vec_add",
"gen_inject_vec_sub",
"gen_inject_vec_hadamard",
"gen_inject_m... | code_fim | hard | {
"lang": "python",
"repo": "PrincetonUniversity/PsyNeuLink",
"path": "/psyneulink/library/compositions/pytorchllvmhelper.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> m1_ptr = builder.gep(m1, [ctx.int32_ty(0), ctx.int32_ty(0), ctx.int32_ty(0)])
m2_ptr = builder.gep(m2, [ctx.int32_ty(0), ctx.int32_ty(0), ctx.int32_ty(0)])
output_ptr = builder.gep(output_mat, [ctx.int32_ty(0), ctx.int32_ty(0), ctx.int32_ty(0)])
builtin = ctx.import_llvm_function(op)
... | code_fim | hard | {
"lang": "python",
"repo": "PrincetonUniversity/PsyNeuLink",
"path": "/psyneulink/library/compositions/pytorchllvmhelper.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: buncybunny/PBR path: /configs_TFA/cascade_rcnn/TFA_voc/cascade_rcnn_r50_fpn_1x_cos_all_fast_test.py
_base_ = [
'../../_base_/models/TFA_voc/cascade_rcnn_r5<|fim_suffix|>plit1_ft_all_3shot.py', '../../_base_/default_runtime.py'
]<|fim_middle|>0_fpn_cos_all.py',
'../../_base_/data/TFA_voc/s... | code_fim | medium | {
"lang": "python",
"repo": "buncybunny/PBR",
"path": "/configs_TFA/cascade_rcnn/TFA_voc/cascade_rcnn_r50_fpn_1x_cos_all_fast_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>_all.py',
'../../_base_/schedules/TFA_voc/schedule_1x_split1_ft_all_3shot.py', '../../_base_/default_runtime.py'
]<|fim_prefix|># repo: buncybunny/PBR path: /configs_TFA/cascade_rcnn/TFA_voc/cascade_rcnn_r50_fpn_1x_cos_all_fast_test.py
_base_ = [
'../../_base_/models/TFA_voc/cascade_rcnn_r5<|fim_... | code_fim | easy | {
"lang": "python",
"repo": "buncybunny/PBR",
"path": "/configs_TFA/cascade_rcnn/TFA_voc/cascade_rcnn_r50_fpn_1x_cos_all_fast_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def mouseMoveEvent(self, e):
super(GameView, self).mouseMoveEvent(e)
# self.mouseMove.emit(e)
self.controller.mouseMoveEvent(e)
def mousePressEvent(self, e):
super(GameView, self).mousePressEvent(e)
self.controller.mousePressEvent(e)
def mouseReleaseEv... | code_fim | medium | {
"lang": "python",
"repo": "ikamensh/pydolons",
"path": "/ui/core/GameView.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ikamensh/pydolons path: /ui/core/GameView.py
from PySide2 import QtWidgets, QtCore
from ui.core.gameconfig.GameConfiguration import GameConfiguration
class GameView(QtWidgets.QGraphicsView):
resized = QtCore.Signal()
wheel_change = QtCore.Signal()
keyPress = QtCore.Signal(QtCore.QEv... | code_fim | hard | {
"lang": "python",
"repo": "ikamensh/pydolons",
"path": "/ui/core/GameView.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> def mouseReleaseEvent(self, e):
super(GameView, self).mouseReleaseEvent(e)
self.controller.mouseReleaseEvent(e)
def resizeEvent(self, e):
self.timer.start(50)
super().resizeEvent(e)
def slotAlarmTimer(self):
w, h = self.width(), self.height()
i... | code_fim | medium | {
"lang": "python",
"repo": "ikamensh/pydolons",
"path": "/ui/core/GameView.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nohtyprm/tango path: /src/tangolib/optparse.py
'''module optparse
Parsing command and environment options.
'''
def parse_options(input, keysep='=', itemsep=','):
#import pdb; pdb.set_trace()
opts = dict()
i = 0
parse_key = True
current_key = ""
current_value = ""
wh... | code_fim | hard | {
"lang": "python",
"repo": "nohtyprm/tango",
"path": "/src/tangolib/optparse.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> elif ch == itemsep or i+1 == len(input):
# if next character is item separator
if i+1 < len(input):
ch2 = input[i+1]
if ch2 == itemsep:
# protected item separator, put into key name
... | code_fim | hard | {
"lang": "python",
"repo": "nohtyprm/tango",
"path": "/src/tangolib/optparse.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> X.ww.init()
y = ww.init_series(y)
return X, y<|fim_prefix|># repo: Open-Sources-Project/evalml path: /evalml/demos/breast_cancer.py
import pandas as pd
import woodwork as ww
from sklearn.datasets import load_breast_cancer as load_breast_cancer_sk
<|fim_middle|>def load_breast_cancer():
... | code_fim | hard | {
"lang": "python",
"repo": "Open-Sources-Project/evalml",
"path": "/evalml/demos/breast_cancer.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Open-Sources-Project/evalml path: /evalml/demos/breast_cancer.py
import pandas as pd
import woodwork as ww
from sklearn.datasets import load_breast_cancer as load_breast_cancer_sk
<|fim_suffix|> X.ww.init()
y = ww.init_series(y)
return X, y<|fim_middle|>def load_breast_cancer():
... | code_fim | hard | {
"lang": "python",
"repo": "Open-Sources-Project/evalml",
"path": "/evalml/demos/breast_cancer.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ColorOfLight/kaist-musynth path: /code-pool/max-min5.py
n = int(input())
k = int(input())
vals = []
for i in range(<|fim_suffix|>[-1]
for i in range(n-k+1):
diff = vals[i+k-1]-vals[i]
if diff < minDiff:
minDiff = diff
print(minDiff)<|fim_middle|>n):
vals.append(int(input()))
v... | code_fim | medium | {
"lang": "python",
"repo": "ColorOfLight/kaist-musynth",
"path": "/code-pool/max-min5.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>[-1]
for i in range(n-k+1):
diff = vals[i+k-1]-vals[i]
if diff < minDiff:
minDiff = diff
print(minDiff)<|fim_prefix|># repo: ColorOfLight/kaist-musynth path: /code-pool/max-min5.py
n = int(input())
k = int(input())
vals = []
for i in range(<|fim_middle|>n):
vals.append(int(input()))
v... | code_fim | medium | {
"lang": "python",
"repo": "ColorOfLight/kaist-musynth",
"path": "/code-pool/max-min5.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if diff < minDiff:
minDiff = diff
print(minDiff)<|fim_prefix|># repo: ColorOfLight/kaist-musynth path: /code-pool/max-min5.py
n = int(input())
k = int(input())
vals = []
for i in range(n):
vals.append(int(input()))
vals.sort()
minDiff = vals<|fim_middle|>[-1]
for i in range(n-k+1):
di... | code_fim | easy | {
"lang": "python",
"repo": "ColorOfLight/kaist-musynth",
"path": "/code-pool/max-min5.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> layout = QtWidgets.QVBoxLayout()
layout.setContentsMargins(1, 0, 1, 1)
self._ui.output_canvas.setLayout(layout)
layout.addWidget(self._output_widget)
spacer = QtWidgets.QSpacerItem(5, 5,
QtWidgets.QSizePolicy.Minimum,
... | code_fim | hard | {
"lang": "python",
"repo": "astrofrog/glue",
"path": "/glue/dialogs/link_editor/qt/link_equation.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: astrofrog/glue path: /glue/dialogs/link_editor/qt/link_equation.py
from __future__ import absolute_import, division, print_function
import os
from inspect import getargspec
from qtpy import QtWidgets
from qtpy import PYSIDE
from glue import core
from glue.config import link_function, link_helpe... | code_fim | hard | {
"lang": "python",
"repo": "astrofrog/glue",
"path": "/glue/dialogs/link_editor/qt/link_equation.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """ Create and add a single argument widget to the input canvas
:param arguement: The argument name (string)
"""
widget = ArgumentWidget(argument)
widget.editor.textChanged.connect(nonpartial(self._update_add_enabled))
self._ui.input_canvas.layout().addWidge... | code_fim | hard | {
"lang": "python",
"repo": "astrofrog/glue",
"path": "/glue/dialogs/link_editor/qt/link_equation.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ckcollab/vargas_text path: /get_comments.py
# Import reddit module
import praw
# Connect to reddit as our generator (reddit requires
# you to specify user agent, apparently)
reddit = praw.Reddit(user_agent='Vargas Markov Generator')
user = reddit.get_redditor('_vargas_')
<|fim_suffix|> ... | code_fim | medium | {
"lang": "python",
"repo": "ckcollab/vargas_text",
"path": "/get_comments.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> comment_text = comment.body + "\n"
output.write(comment_text)<|fim_prefix|># repo: ckcollab/vargas_text path: /get_comments.py
# Import reddit module
import praw
# Connect to reddit as our generator (reddit requires
# you to specify user agent, apparently)
reddit = praw.Reddit(user_age... | code_fim | medium | {
"lang": "python",
"repo": "ckcollab/vargas_text",
"path": "/get_comments.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># setup DB session
engine = create_engine(cfg.SQLALCHEMY_DATABASE_URI)
session = create_db_session(engine)
# setup PRAW handler
handler = None
if cfg.MULTIPROCESS:
handler = praw.handlers.MultiprocessHandler()
# setup and open connection to Reddit
user_agent = "Reddit analytics scraper by /u/{}".for... | code_fim | medium | {
"lang": "python",
"repo": "PsyBorgs/redditanalyser",
"path": "/app/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Attributes of interest for comment objects
# note: including `author` slows comment requests considerably
COMMENT_ATTRS = [
'id',
'created_utc',
# 'author',
'body',
'score',
'ups',
'downs',
'subreddit',
'subreddit_id',
'controversiality',
'is_root',
'paren... | code_fim | hard | {
"lang": "python",
"repo": "PsyBorgs/redditanalyser",
"path": "/app/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PsyBorgs/redditanalyser path: /app/__init__.py
# -*- coding: utf-8 -*-
import logging
import praw
from settings import Config
from .database import create_engine, create_db_session
logging.basicConfig(level="WARNING")
logger = logging.getLogger(__name__)
# Project configuration settings
cfg ... | code_fim | medium | {
"lang": "python",
"repo": "PsyBorgs/redditanalyser",
"path": "/app/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for i in range(0, 11):
print('{} x {} = {}'.format(pro, i, pro*i))<|fim_prefix|># repo: mrgomides/VemPython path: /desafios/exe049.py
# Projeto: VemPython/exe049
# Autor: rafael
# Data: 16/03/18 - 17:29
# Objetivo: TODO Refaça o DESAFIO 9, mostrando a tabuada de um número que o usuário escolher, só q... | code_fim | easy | {
"lang": "python",
"repo": "mrgomides/VemPython",
"path": "/desafios/exe049.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mrgomides/VemPython path: /desafios/exe049.py
# Projeto: VemPython/exe049
# Autor: rafael
# Data: 16/03/18 - 17:29
# Objetivo: TODO Refaça o DESAFIO 9, mostrando a tabuada de um número que o usuário escolher, só que agora utilizando um laço for
<|fim_suffix|>for i in range(0, 11):
print('{} ... | code_fim | easy | {
"lang": "python",
"repo": "mrgomides/VemPython",
"path": "/desafios/exe049.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Energized_Buff(BuffingAbility):
def __init__(self, name, value, duration=None):
super().__init__(name, value, duration or 15)
def oninit(self, adv, afrom=None):
def l_energized(e):
if e.stack >= 5:
adv.Buff(*self.buff_args).on()
adv.Even... | code_fim | hard | {
"lang": "python",
"repo": "b1ueb1ues/dl",
"path": "/ability/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: b1ueb1ues/dl path: /ability/__init__.py
afflict = name.split('_', 1)[1]
super().__init__(name, [(f'{afflict}_{mtype}', morder, value, cond)])
else:
super().__init__(name, [(mtype, morder, value, cond)])
class Critical_Chance(ConditionalModifierAbility):
def _... | code_fim | hard | {
"lang": "python",
"repo": "b1ueb1ues/dl",
"path": "/ability/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.value = value
super().__init__(name)
def oninit(self, adv, afrom=None):
adv.afflict_guard = self.value
adv.dragonform.disabled = False
ability_dict['ag'] = Affliction_Guard
class Energy_Prep(Ability):
def __init__(self, name, value):
self.energy_coun... | code_fim | hard | {
"lang": "python",
"repo": "b1ueb1ues/dl",
"path": "/ability/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_map_index(self):
index = Row(relid=1, schemaname='public', relname='table1', indexrelname='index1', idx_scan=100, idx_tup_read=700, idx_tup_fetch=80, indisunique=True)
mapped_index = IndexesDatabaseHandler.map_index(index)
self.assertEquals('public.table1.index1', mapp... | code_fim | hard | {
"lang": "python",
"repo": "pitluga/elephunk",
"path": "/tests/elephunk/handlers/indexes_database_handler_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pitluga/elephunk path: /tests/elephunk/handlers/indexes_database_handler_test.py
from unittest import TestCase
from tornado.escape import json_decode
from elephunk.handlers import IndexesDatabaseHandler
from elephunk.database import Row
class IndexesDatabaseHandlerTest(TestCase):
def test_b... | code_fim | hard | {
"lang": "python",
"repo": "pitluga/elephunk",
"path": "/tests/elephunk/handlers/indexes_database_handler_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: maxfischer2781/apmon_py path: /examples/log_levels.py
"""
# This is an example that shows how Log Levels can be used.
# The logLevel can also be specified in the configuration file like:
# xApMon_loglevel = INFO
"""
from __future__ import print_function
from builtins import range
import apmon
imp... | code_fim | hard | {
"lang": "python",
"repo": "maxfischer2781/apmon_py",
"path": "/examples/log_levels.py",
"mode": "psm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|>for i in range(1, 100):
print('Sending i =', i)
if i == 20:
apm.setLogLevel("NOTICE")
if i == 50:
apm.setLogLevel("DEBUG")
apm.sendParameters("MyCluster", "MyNode", {'val_i':i})
apm.sendTimedParameters("MyClusterOld", "MyNodeOld", time.time() - 5*3600, {'val_ii': i})
... | code_fim | hard | {
"lang": "python",
"repo": "maxfischer2781/apmon_py",
"path": "/examples/log_levels.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Reorder template according to direct graph of keyword dependencies
Parameters
----------
template : JSONDict
Returns
-------
ordered : JSONDict
Notes
-----
This function reorders the template in place.
Warnings
--------
We are assuming that there ... | code_fim | hard | {
"lang": "python",
"repo": "dev-cafe/parselglossy",
"path": "/parselglossy/check_template.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dev-cafe/parselglossy path: /parselglossy/check_template.py
# -*- coding: utf-8 -*-
#
# parselglossy -- Generic input parsing library, speaking in tongues
# Copyright (C) 2020 Roberto Di Remigio, Radovan Bast, and contributors.
#
# This file is part of parselglossy.
#
# Permission is hereby grant... | code_fim | hard | {
"lang": "python",
"repo": "dev-cafe/parselglossy",
"path": "/parselglossy/check_template.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: github/codeql path: /python/ql/src/Statements/UnnecessaryElseClause.py
def pointless_else(container):
for item in container:
if of_interest(item):
return item
else:
raise NotFoundException()
<|fim_suffix|>def with_break(container):
for item in container:
... | code_fim | medium | {
"lang": "python",
"repo": "github/codeql",
"path": "/python/ql/src/Statements/UnnecessaryElseClause.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for item in container:
if of_interest(item):
return item
raise NotFoundException()
def with_break(container):
for item in container:
if of_interest(item):
found = item
break
else:
raise NotFoundException()
return found<|fim_p... | code_fim | easy | {
"lang": "python",
"repo": "github/codeql",
"path": "/python/ql/src/Statements/UnnecessaryElseClause.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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