text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: mozilla/addons-server path: /src/olympia/api/tests/test_pagination.py
from unittest import mock
from django.conf import settings
from rest_framework import generics, serializers, status
from rest_framework.test import APIRequestFactory
from olympia.amo.tests import TestCase
from olympia.api.pa... | code_fim | hard | {
"lang": "python",
"repo": "mozilla/addons-server",
"path": "/src/olympia/api/tests/test_pagination.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hashtrip/backend path: /app/api/api_v1/endpoints/post.py
from typing import Optional
from fastapi import APIRouter, Body, Depends, Path, Query
from slugify import slugify
from starlette.exceptions import HTTPException
from starlette.status import (
HTTP_201_CREATED,
HTTP_204_NO_CONTENT,
... | code_fim | hard | {
"lang": "python",
"repo": "hashtrip/backend",
"path": "/app/api/api_v1/endpoints/post.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dbpost = await update_post_by_slug(db, slug, post, user.username)
return create_aliased_response(PostInResponse(post=dbpost))
@router.delete("/posts/{slug}", tags=["posts"], status_code=HTTP_204_NO_CONTENT)
async def delete_post(
slug: str = Path(..., min_length=1),
user: User = Depends(... | code_fim | hard | {
"lang": "python",
"repo": "hashtrip/backend",
"path": "/app/api/api_v1/endpoints/post.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ValRCS/Py_2018_KP path: /pq/widgets/save_search.py
from PySide2 import QtCore
from PySide2.QtWidgets import (
QWidget,
QFormLayout,
QLabel,
QLineEdit,
QPushButton,
QHBoxLayout,
)
from pq.db import Database
class SaveSearchWidget(QWidget):
<|fim_suffix|> self.form... | code_fim | medium | {
"lang": "python",
"repo": "ValRCS/Py_2018_KP",
"path": "/pq/widgets/save_search.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> super().__init__()
self._db = Database()
self.form = QFormLayout()
row_1 = QHBoxLayout()
row_2 = QHBoxLayout()
row_3 = QHBoxLayout()
row_4 = QHBoxLayout()
self.name = QLineEdit()
row_1.addWidget(QLabel("Name:"))
row_1.addWi... | code_fim | medium | {
"lang": "python",
"repo": "ValRCS/Py_2018_KP",
"path": "/pq/widgets/save_search.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ZM-NEU/RadarLoc path: /datasets/quantization.py
import numpy as np
from typing import List
from abc import ABC, abstractmethod
import torch
import MinkowskiEngine as ME
class Quantizer(ABC):
@abstractmethod
def __call__(self, pc):
pass
class PolarQuantizer(Quantizer):
def ... | code_fim | hard | {
"lang": "python",
"repo": "ZM-NEU/RadarLoc",
"path": "/datasets/quantization.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Converts to polar coordinates and quantizes with different step size for each coordinate
# pc: (N, 3) point cloud with Cartesian coordinates (X, Y, Z)
assert pc.shape[1] == 3
quantized_pc, ndx = ME.utils.sparse_quantize(pc, quantization_size=self.quant_step, return_index=... | code_fim | medium | {
"lang": "python",
"repo": "ZM-NEU/RadarLoc",
"path": "/datasets/quantization.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
module_name (str): Name of module to import.
Returns:
module: an imported module name
Raises:
error.NotFound: If module cannot be imported.
"""
try:
module = resolve_name(module_name)
except ImportError:
raise error.NotFound(msg=modul... | code_fim | hard | {
"lang": "python",
"repo": "panoptes/panoptes-utils",
"path": "/src/panoptes/utils/library.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Raises:
pocs.utils.error.NotFound: raised if library_path not given & find_library fails to
locate the library.
OSError: raises if the ctypes.CDLL loader cannot load the library.
"""
if mode is None:
# Interpret a value of None as the default.
mode =... | code_fim | hard | {
"lang": "python",
"repo": "panoptes/panoptes-utils",
"path": "/src/panoptes/utils/library.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: panoptes/panoptes-utils path: /src/panoptes/utils/library.py
import ctypes
import ctypes.util
from astropy.utils import resolve_name
from loguru import logger
from panoptes.utils import error
def load_c_library(name, path=None, mode=ctypes.DEFAULT_MODE, **kwargs):
"""Utility function to lo... | code_fim | hard | {
"lang": "python",
"repo": "panoptes/panoptes-utils",
"path": "/src/panoptes/utils/library.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: z80dev/ape path: /tests/integration/cli/test_misc.py
import pytest
from tests.integration.cli.utils import run_once
<|fim_suffix|> result = runner.invoke(ape_cli, args)
assert result.exit_code == 0, result.output<|fim_middle|># NOTE: test all the things without a direct test elsewhere
@... | code_fim | hard | {
"lang": "python",
"repo": "z80dev/ape",
"path": "/tests/integration/cli/test_misc.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> result = runner.invoke(ape_cli, args)
assert result.exit_code == 0, result.output<|fim_prefix|># repo: z80dev/ape path: /tests/integration/cli/test_misc.py
import pytest
from tests.integration.cli.utils import run_once
<|fim_middle|># NOTE: test all the things without a direct test elsewhere
@... | code_fim | hard | {
"lang": "python",
"repo": "z80dev/ape",
"path": "/tests/integration/cli/test_misc.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> print(cups.index(1) + 1, cups.index(2) + 1, sep='\n')
if __name__ == '__main__':
main()<|fim_prefix|># repo: xCrypt0r/Baekjoon path: /src/13/13698.py
"""
13698. Hawk eyes
작성자: xCrypt0r
언어: Python 3
사용 메모리: 29,380 KB
소요 시간: 64 ms
해결 날짜: 2020년 9월 22일
"""
def main():
cups = [1, 0, 0, 2]
<|fi... | code_fim | hard | {
"lang": "python",
"repo": "xCrypt0r/Baekjoon",
"path": "/src/13/13698.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xCrypt0r/Baekjoon path: /src/13/13698.py
"""
13698. Hawk eyes
작성자: xCrypt0r
언어: Python 3
사용 메모리: 29,380 KB
소요 시간: 64 ms
해결 날짜: 2020년 9월 22일
"""
def main():
cups = [1, 0, 0, 2]
<|fim_suffix|> print(cups.index(1) + 1, cups.index(2) + 1, sep='\n')
if __name__ == '__main__':
main()<|fi... | code_fim | hard | {
"lang": "python",
"repo": "xCrypt0r/Baekjoon",
"path": "/src/13/13698.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> abbreviation = ... # type: typing___Text
name = ... # type: typing___Text
object_id = ... # type: typing___Text
instance_id = ... # type: typing___Text
_hierarchy = ... # type: builtin___int
@property
def depend_services(self) -> google___protobuf___internal___containers___Rep... | code_fim | hard | {
"lang": "python",
"repo": "easyopsapis/easyops-api-python",
"path": "/capacity_admin_sdk/model/cmdb_extend/app_dependency_pb2.pyi",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: easyopsapis/easyops-api-python path: /capacity_admin_sdk/model/cmdb_extend/app_dependency_pb2.pyi
# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.... | code_fim | hard | {
"lang": "python",
"repo": "easyopsapis/easyops-api-python",
"path": "/capacity_admin_sdk/model/cmdb_extend/app_dependency_pb2.pyi",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@pytest.fixture
def query():
inst = Query(
and_=frozenset(['and_this', 'and_that']),
or_=frozenset(['or_this', 'or_that']),
not_=frozenset(['not_this']),
include=frozenset(['only this']),
exclude=frozenset(['except_this']),
flags=frozenset(),
)
... | code_fim | hard | {
"lang": "python",
"repo": "IgorZyktin/MediaStorageSystem",
"path": "/tests/core/conftest.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@pytest.fixture
def query():
inst = Query(
and_=frozenset(['and_this', 'and_that']),
or_=frozenset(['or_this', 'or_that']),
not_=frozenset(['not_this']),
include=frozenset(['only this']),
exclude=frozenset(['except_this']),
flags=frozenset(),
)
r... | code_fim | hard | {
"lang": "python",
"repo": "IgorZyktin/MediaStorageSystem",
"path": "/tests/core/conftest.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: IgorZyktin/MediaStorageSystem path: /tests/core/conftest.py
# -*- coding: utf-8 -*-
"""Tests.
"""
import pytest
from mss import constants
from mss.core import (
QueryBuilder, Query, ThemeStatistics, Synonyms,
TagsOnDemand, Theme
)
@pytest.fixture
def valid_metarecord_dict():
retur... | code_fim | hard | {
"lang": "python",
"repo": "IgorZyktin/MediaStorageSystem",
"path": "/tests/core/conftest.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Command(BaseCommand):
def add_arguments(self, parser):
parser.add_argument("-c", "--bk_cloud_id", type=int, help="cloud id")
parser.add_argument("-b", "--bk_biz_id", type=int, help="biz id")
def handle(self, *args, **kwargs):
bk_biz_maintainer = (
client... | code_fim | medium | {
"lang": "python",
"repo": "TencentBlueKing/bk-nodeman",
"path": "/apps/node_man/management/commands/migrate_cloud_creator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TencentBlueKing/bk-nodeman path: /apps/node_man/management/commands/migrate_cloud_creator.py
# coding: utf-8
"""
TencentBlueKing is pleased to support the open source community by making 蓝鲸智云-节点管理(BlueKing-BK-NODEMAN) available.
Copyright (C) 2017-2022 THL A29 Limited, a Tencent company. All righ... | code_fim | hard | {
"lang": "python",
"repo": "TencentBlueKing/bk-nodeman",
"path": "/apps/node_man/management/commands/migrate_cloud_creator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> bk_biz_maintainer = (
client_v2.cc.search_business(
{
"fields": ["bk_biz_id", "bk_biz_name", "bk_biz_maintainer"],
"condition": {"bk_biz_id": kwargs["bk_biz_id"]},
}
)["info"][0]
.get("bk_bi... | code_fim | medium | {
"lang": "python",
"repo": "TencentBlueKing/bk-nodeman",
"path": "/apps/node_man/management/commands/migrate_cloud_creator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chaeplin/dashmnb path: /dashlib/mnb_start.py
import sys
import os
sys.path.append(os.path.join(os.path.dirname(__file__), '.'))
import re
from mnb_makemnb import *
from mnb_misc import *
from mnb_rpc import *
import simplejson as json
def start_masternode(
mns_to_start,
protoco... | code_fim | hard | {
"lang": "python",
"repo": "chaeplin/dashmnb",
"path": "/dashlib/mnb_start.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> decoded = {}
decoded['success'] = match1.group(1)
decoded['failed'] = match1.group(2)
decoded['total'] = match1.group(3)
print('\n---> verify(decoding mnb)')
print('\t---> total : ' + decoded['total'])
print('\t---> success : ' + decoded['success'... | code_fim | hard | {
"lang": "python",
"repo": "chaeplin/dashmnb",
"path": "/dashlib/mnb_start.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print('\n---> relay(announcing mnb)')
print('\t---> total : ' + relayed['total'])
print('\t---> success : ' + relayed['success'])
print('\t---> failed : ' + relayed['failed'])
print()
if relayed['success'] != relayed['total']:
... | code_fim | hard | {
"lang": "python",
"repo": "chaeplin/dashmnb",
"path": "/dashlib/mnb_start.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>tribution_plot('')
# pca variance
elif plot == 'figure_3':
generate_pca_variance('', 'loan')
generate_pca_variance('', 'cardio')
# distributions
elif plot == 'figure_4_and_5':
pca_cardio_distribution_plot('')
pca_loan_distribu... | code_fim | hard | {
"lang": "python",
"repo": "travisMichael/unsupervisedLearning",
"path": "/generate.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: travisMichael/unsupervisedLearning path: /generate.py
import sys
from cluster.kmeans.cluster_plot import generate_cardio_elbow_plot, generate_loan_elbow_plot
from decomposition.pca import pca_cardio_scatter_plot, pca_loan_scatter_plot
from decomposition.ica import ica_cardio_scatter_plot, ica_loa... | code_fim | hard | {
"lang": "python",
"repo": "travisMichael/unsupervisedLearning",
"path": "/generate.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>with Time() as t:
for _ in range(10):
loop.run_until_complete(place_orders(500))<|fim_prefix|># repo: gshklover/async_v20 path: /perftests/creating_orders.py
import asyncio
from perftests.helpers import Time, client
print('Running creating_dataframe benchmark with async_v20 version', client... | code_fim | hard | {
"lang": "python",
"repo": "gshklover/async_v20",
"path": "/perftests/creating_orders.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gshklover/async_v20 path: /perftests/creating_orders.py
import asyncio
from perftests.helpers import Time, client
print('Running creating_dataframe benchmark with async_v20 version', client.version)
loop = asyncio.get_event_loop()
# This will test the speed of the _formatting_order_requests he... | code_fim | hard | {
"lang": "python",
"repo": "gshklover/async_v20",
"path": "/perftests/creating_orders.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.cache_time != 0:
if self.cache_time is None or self.cache_time == 'None':
logger.debug("Caching %s for the cache's default timeout"
% (real_slug,))
cache.set(cache_key, flatblock)
... | code_fim | hard | {
"lang": "python",
"repo": "renyi/mezzanine-blocks",
"path": "/mezzanine_blocks/templatetags/block_tags.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: renyi/mezzanine-blocks path: /mezzanine_blocks/templatetags/block_tags.py
import logging
from django import template
from django.template import loader
from django.db import models
from django.core.cache import cache
from mezzanine.conf import settings
from mezzanine.utils.urls import slugify
fro... | code_fim | hard | {
"lang": "python",
"repo": "renyi/mezzanine-blocks",
"path": "/mezzanine_blocks/templatetags/block_tags.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>do_get_flatblock = BasicFlatBlockWrapper()
do_rich_flatblock = RichFlatBlockWrapper()
do_image_flatblock = ImageFlatBlockWrapper()
class FlatBlockNode(template.Node):
def __init__(self, slug, is_variable, cache_time=0, with_template=True,
template_name=None, tpl_is_variable=False, is_rich... | code_fim | hard | {
"lang": "python",
"repo": "renyi/mezzanine-blocks",
"path": "/mezzanine_blocks/templatetags/block_tags.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> app = Flask(__name__, instance_relative_config=True)
app.config.from_pyfile(config_filename)
initialize_extensions(app)
register_blueprints(app)
return app
def initialize_extensions(application):
# Since the application instance is now created, pass it to each Flask
# extensio... | code_fim | medium | {
"lang": "python",
"repo": "ludwejacobs/flaskappteam",
"path": "/src/flaskbasic/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ludwejacobs/flaskappteam path: /src/flaskbasic/__init__.py
# -*- coding: utf-8 -*-
from pkg_resources import get_distribution, DistributionNotFound
import os
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_login import LoginManager, login_user, logout_user, login_requir... | code_fim | hard | {
"lang": "python",
"repo": "ludwejacobs/flaskappteam",
"path": "/src/flaskbasic/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Zakher21/macroeco path: /macroeco/misc/misc.py
"""
Miscellaneous functions
"""
import sys
import os
import traceback
import threading as thread
import logging
import decorator
import time
def _thread_excepthook():
"""
Make threads use sys.excepthook from parent process
http://bugs... | code_fim | hard | {
"lang": "python",
"repo": "Zakher21/macroeco",
"path": "/macroeco/misc/misc.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> for tstr in strs:
start = content.find(tstr)
while start != -1:
cols_str = "".join(content[start:].split("\n")[0].split("=")[-1].split(" "))
semis = cols_str.count(";")
# Get line number
line_end = content.find("\n", start)
... | code_fim | hard | {
"lang": "python",
"repo": "Zakher21/macroeco",
"path": "/macroeco/misc/misc.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: scooter23/grins path: /mm/pytools/tog2/FileCache.py
__version__ = "$Id$"
from stat import *
import os
class FileCache:
def __init__(self, func, rm = None, check = None):
self.func = func
self.rm = rm
self.check = check
self.cache = {}
def __repr__(self)... | code_fim | hard | {
"lang": "python",
"repo": "scooter23/grins",
"path": "/mm/pytools/tog2/FileCache.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def flushall(self):
if self.rm:
for file in self.cache.keys():
self.rm(file, self.cache[file][2])
self.cache = {}
def flush(self, file):
if self.cache.has_key(file):
if self.rm:
self.rm(file, self.cache[file][2])
... | code_fim | hard | {
"lang": "python",
"repo": "scooter23/grins",
"path": "/mm/pytools/tog2/FileCache.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> defaults = {
'memory_limit': 60000000, # ~56MB
'run_timeout': 5, # 5 secs
}
def __init__(self, *args, **kwargs):
# Set default values first then eventually override them.
self.update(SensorConfig.defaults)
super(SensorConfig, self).__init__(*a... | code_fim | hard | {
"lang": "python",
"repo": "whitehats/monitowl-agent",
"path": "/whmonit/common/types.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: whitehats/monitowl-agent path: /whmonit/common/types.py
# -*- encoding: utf-8 -*-
'''
Base definitions for types flowing in the system.
.. _primitives:
Primitives
==========
*Primitives* are basic types to represent most of data in system and all data
gathered from :ref:`sensors`.
Specificat... | code_fim | hard | {
"lang": "python",
"repo": "whitehats/monitowl-agent",
"path": "/whmonit/common/types.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>#: Type representing ``config entry``. Pylint thinks this is a constant and argues
#: it should be uppercase [C0103].
LogDBConfigEntry = namedtuple("LogDBConfigEntry", ["config_id", "target_id",
"agent_id", "sensor_name", "timestamp", "config"])
class ID(unicode):
'''
... | code_fim | hard | {
"lang": "python",
"repo": "whitehats/monitowl-agent",
"path": "/whmonit/common/types.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>OL_VEC3 = 0x8B58
GL_BOOL_VEC4 = 0x8B59
GL_FLOAT_MAT2 = 0x8B5A
GL_FLOAT_MAT3 = 0x8B5B
GL_FLOAT_MAT4 = 0x8B5C
GL_SAMPLER_2D = 0x8B5E
GL_SAMPLER_CUBE = 0x8B60
GL_DELETE_STATUS = 0x8B80
GL_COMPILE_STATUS = 0x8B81
GL_LINK_STATUS = 0x8B82
GL_VALIDATE_STATUS = 0x8B83
GL_INFO_LOG_LENGTH = 0x8B84
GL_ATTACHED_SHADE... | code_fim | hard | {
"lang": "python",
"repo": "cydenix/OpenGLCffi",
"path": "/OpenGLCffi/GLES2/const.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cydenix/OpenGLCffi path: /OpenGLCffi/GLES2/const.py
GL_DEPTH_BUFFER_BIT = 0x00000100
GL_STENCIL_BUFFER_BIT = 0x00000400
GL_COLOR_BUFFER_BIT = 0x00004000
GL_FALSE = 0
GL_NO_ERROR = 0
GL_ZERO = 0
GL_NONE = 0
GL_TRUE = 1
GL_ONE = 1
GL_POINTS = 0x0000
GL_LINES = 0x0001
GL_LINE_LOOP = 0x0002
GL_LINE_S... | code_fim | hard | {
"lang": "python",
"repo": "cydenix/OpenGLCffi",
"path": "/OpenGLCffi/GLES2/const.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> labs = glob.glob(labdir + '/*.lab')
labs.sort()
f = open(output, 'w')
f.write('<document>\n')
for l in labs:
stem = os.path.splitext(os.path.split(l)[1])[0]
fileid_element = document.createElement("fileid")
doc_element.appendChild(fileid_element)
fileid... | code_fim | hard | {
"lang": "python",
"repo": "zweiein/kaldi",
"path": "/sandbox/idlak/idlak-voice-build/modules/align_def.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def write_as_statelabs(kaldialign, frameshift, nstates, wavdurations, labdir, dirout):
lines = open(kaldialign).readlines()
for l in lines:
ll = l.split()
uttid = ll[0]
plabs = open(os.path.join(labdir, uttid + '.lab')).readlines()
fp = open(dirout + '/' + uttid + '... | code_fim | hard | {
"lang": "python",
"repo": "zweiein/kaldi",
"path": "/sandbox/idlak/idlak-voice-build/modules/align_def.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zweiein/kaldi path: /sandbox/idlak/idlak-voice-build/modules/align_def.py
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/LICENSE-2.0
#
# THIS CODE IS PROV... | code_fim | hard | {
"lang": "python",
"repo": "zweiein/kaldi",
"path": "/sandbox/idlak/idlak-voice-build/modules/align_def.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
#matches = re.findall (unaryRule1, parsedSent)
#print matches
unaryRules = ["\(NP (.*)\)", "\(ADJP [A-Za-z0-9]*\)"]
for unaryRule in unaryRules:
unaryMatches = re.findall( unaryRule, parsedSent)
print "Unary:",unaryMatches
binaryRules = ["\(VBZ [A-Za-z0-9]*\)", "\(IN [A-Za-z0-9]*\)"]
for binaryRule ... | code_fim | hard | {
"lang": "python",
"repo": "Shagunaawasthi/BobGoesToJail",
"path": "/helpers/RulesStuff/predicateFinder.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>binaryRules = ["\(VBZ [A-Za-z0-9]*\)", "\(IN [A-Za-z0-9]*\)"]
for binaryRule in binaryRules:
binaryMatches = re.findall(binaryRule, parsedSent)
print "Binary:",binaryMatches<|fim_prefix|># repo: Shagunaawasthi/BobGoesToJail path: /helpers/RulesStuff/predicateFinder.py
parsedSent = """(ROOT
(S
(NP... | code_fim | medium | {
"lang": "python",
"repo": "Shagunaawasthi/BobGoesToJail",
"path": "/helpers/RulesStuff/predicateFinder.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Shagunaawasthi/BobGoesToJail path: /helpers/RulesStuff/predicateFinder.py
parsedSent = """(ROOT
(S
(NP
(NP (DT A)
(NN child))
(PP (IN under)
(ADJP
(NP (CD 10) (NNS years))
(JJ old))))
(VP (VBZ is) (RB not)
(ADJP (RB criminally) (JJ responsi... | code_fim | hard | {
"lang": "python",
"repo": "Shagunaawasthi/BobGoesToJail",
"path": "/helpers/RulesStuff/predicateFinder.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: barentsen/iphas-dr2 path: /paper/figures/diagrams/plot.py
"""Plots example colour/magnitude diagrams along different sightlines."""
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
from matplotlib import colors
import numpy as np
from astropy.... | code_fim | hard | {
"lang": "python",
"repo": "barentsen/iphas-dr2",
"path": "/paper/figures/diagrams/plot.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> plt.xlabel('$r$ - $i$')
plt.ylabel('$r$ - $\\rm H\\alpha$')
plt.xlim([-0.3, 3.])
plt.ylim([-0.1, 1.3])
plt.text(0.06, 0.92, '$(\ell,b)=({0}^\circ, {1}^\circ)$'.format(l, b),
horizontalalignment='left',
verticalalignment='top',
transform=ax.transA... | code_fim | hard | {
"lang": "python",
"repo": "barentsen/iphas-dr2",
"path": "/paper/figures/diagrams/plot.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> model_group = parser.add_mutually_exclusive_group()
model_group.add_argument("-mi", "--mean_impute", help="perform mean imputation (default option)",
action="store_true")
model_group.add_argument("-sg", "--single_gaussian", help="impute using a single multivariate ... | code_fim | hard | {
"lang": "python",
"repo": "JamesAllingham/AutoImpute",
"path": "/auto_impute/auto_impute.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JamesAllingham/AutoImpute path: /auto_impute/auto_impute.py
# James Allingham
# Feb 2018
# auto_impute.py
# Main file for AutoImpute CLI
import argparse
import numpy as np
from sys import stdout
import csv_reader
import mi
import sg
import gmm
import dp
import mixed
from utilities import print... | code_fim | hard | {
"lang": "python",
"repo": "JamesAllingham/AutoImpute",
"path": "/auto_impute/auto_impute.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Write the output to file
# if there was no name supplied then write to std out
if args.file_name == None:
ofile = stdout
print_err("Repaired file(s) written to std out.")
print_err("")
else:
ofile = args.file_name
# either sample the results or get th... | code_fim | hard | {
"lang": "python",
"repo": "JamesAllingham/AutoImpute",
"path": "/auto_impute/auto_impute.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cvmfs/cvmfs-monitor path: /backend/binding.gyp
{
"targets": [
{
"target_name": "libcvmfs_node",
"cflags!": [ "-fno-exceptions" ],
"cflags_c<|fim_suffix|>b64/libcvmfs.a",
"-lcurl",
"-luuid"],
'defines': [ 'NAPI_DISABLE_CPP_EXCEPTIONS' ],
}
]
}<|f... | code_fim | hard | {
"lang": "python",
"repo": "cvmfs/cvmfs-monitor",
"path": "/backend/binding.gyp",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>b64/libcvmfs.a",
"-lcurl",
"-luuid"],
'defines': [ 'NAPI_DISABLE_CPP_EXCEPTIONS' ],
}
]
}<|fim_prefix|># repo: cvmfs/cvmfs-monitor path: /backend/binding.gyp
{
"targets": [
{
"target_name": "libcvmfs_node",
"cflags!": [ "-fno-exceptions" ],
"cflags_c<|f... | code_fim | hard | {
"lang": "python",
"repo": "cvmfs/cvmfs-monitor",
"path": "/backend/binding.gyp",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/verbs/_preside.py
#calss header
class _PRESIDE():
def __init__(self,):
<|fim_suffix|> def run(self, obj1 = [], obj2 = []):
return self.jsondata<|fim_middle|> self.name = "PRESIDE"
self.definitions = [u'to be in charge of a formal meeting, ceremony, ... | code_fim | hard | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/verbs/_preside.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> model = __import__(self.model, fromlist=['*'])
cls = getattr(model, self.cls)
obj = self.session.query(cls).get(action.id)
if self.geom_rel and self.geom_col:
geom_obj = getattr(obj, self.geom_rel)
if isinstance(geom_obj, (tuple, list, dict, set)):
... | code_fim | hard | {
"lang": "python",
"repo": "probins/featureserver",
"path": "/FeatureServer/DataSource/GeoAlchemy.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: probins/featureserver path: /FeatureServer/DataSource/GeoAlchemy.py
from FeatureServer.DataSource import DataSource
from vectorformats.Feature import Feature
from vectorformats.Formats import WKT
from sqlalchemy import create_engine, and_, func
from sqlalchemy.orm import sessionmaker
import copy... | code_fim | hard | {
"lang": "python",
"repo": "probins/featureserver",
"path": "/FeatureServer/DataSource/GeoAlchemy.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
print("\nDrone State for : " + self.vehicle_id )
#Get some vehicle attributes (state)
print "Autopilot_version: %s" % self.vehicle.version
print "Get some vehicle attribute values:"
print "GPS: %s" % self.vehicle.gps_0
print "Battery: %s" % self.vehicle.bat... | code_fim | hard | {
"lang": "python",
"repo": "jhoeksem/SE_with_drones",
"path": "/04_multidrones/multidrone1/copter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ################################################################################################
# Connect to the Vehicle
################################################################################################
print 'Connecting to vehicle on: %s' % connection_strin... | code_fim | hard | {
"lang": "python",
"repo": "jhoeksem/SE_with_drones",
"path": "/04_multidrones/multidrone1/copter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jhoeksem/SE_with_drones path: /04_multidrones/multidrone1/copter.py
# Import DroneKit-Python
from dronekit import connect, VehicleMode, time
import dronekit_sitl
import os
import thread
#Setup option parsing to get connection string
import argparse
class UAV_Copter:
#######################... | code_fim | hard | {
"lang": "python",
"repo": "jhoeksem/SE_with_drones",
"path": "/04_multidrones/multidrone1/copter.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# Show ori and undistorted image
if 0:
image_show = np.concatenate((img, undistort_image), axis=1)
cv2.imshow('image_show', image_show)
cv2.waitKey(1000)
assert undistort_image.shape[0]==img.shape[0] and undistort_image.shape[1]==img.shape[1]
cv2.imwrite(OUTPUT_FO... | code_fim | hard | {
"lang": "python",
"repo": "KMS-TEAM/vi_slam",
"path": "/tools/undistort_all_images.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KMS-TEAM/vi_slam path: /tools/undistort_all_images.py
import numpy as np
import cv2
import glob, os
if 1: # fr1 dataset
INPUT_FOLDER = '/home/lacie/Github/data/rgbd_dataset_freiburg1_desk/rgb'
OUTPUT_FOLDER = '/home/lacie/Github/data/rgbd_dataset_freiburg1_desk/undist/'
<|fim_suffix|> ... | code_fim | medium | {
"lang": "python",
"repo": "KMS-TEAM/vi_slam",
"path": "/tools/undistort_all_images.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: picrin/PredictiveCollision path: /src/track_and_log.py
from global_values import *
import random, math
import ABCLogger, Circles, Circle
import yaml
class CollisionLogger(ABCLogger.ABCLogger):
def writeHeader(self):
return "---\n" + yaml.dump({'simulation':{'width': width, 'height': height, '... | code_fim | hard | {
"lang": "python",
"repo": "picrin/PredictiveCollision",
"path": "/src/track_and_log.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> return {'circle': {'counter': self.counter,'position': [float(number) for number in self.position], 'velocity': [float(number) for number in self.velocity], 'time': self.time}}
def dictAllRelevant(self):
return {'circle': {'counter': self.counter,'position': [float(number) for number in self.position... | code_fim | medium | {
"lang": "python",
"repo": "picrin/PredictiveCollision",
"path": "/src/track_and_log.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def batch_iter(X, *tensors, batch_size=256):
r"""Creates iterator over tensors.
Args:
X (torch.tensor): Feature tensor (shape: num_instances x num_features).
tensors (torch.tensor): Target tensors (shape: num_instances).
batch_size (int, Optional): Batch size. (default: :... | code_fim | hard | {
"lang": "python",
"repo": "36000/myow",
"path": "/self_supervised/data/utils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
X (torch.tensor): Feature tensor (shape: num_instances x num_features).
tensors (torch.tensor): Target tensors (shape: num_instances).
batch_size (int, Optional): Batch size. (default: :obj:`256`)
"""
idxs = torch.randperm(X.size(0))
if X.is_cuda:
idx... | code_fim | medium | {
"lang": "python",
"repo": "36000/myow",
"path": "/self_supervised/data/utils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 36000/myow path: /self_supervised/data/utils.py
import numpy as np
import torch
def diagu_indices(n, k_min=1, k_max=None):
if k_max is None:
return np.array(np.triu_indices(n, 1)).T
else:
all_pairs = set(zip(*map(np.ndarray.tolist, np.triu_indices(n, k_min))))
rm... | code_fim | medium | {
"lang": "python",
"repo": "36000/myow",
"path": "/self_supervised/data/utils.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: morefreeze/LuckyNumberBoardGame path: /lucky_number/model.py
from enum import IntEnum
from typing import List, Union, NewType
class Color(IntEnum):
EMPTY = 0
RED = 1
BLUE = 2
GREEN = 3
YELLOW = 4
TOTAL = 5
class Card(object):
c: Color
n: int
def __init__(self,... | code_fim | hard | {
"lang": "python",
"repo": "morefreeze/LuckyNumberBoardGame",
"path": "/lucky_number/model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def CardsIsSorted(cards: List[Card]) -> bool:
if len(cards) > 0:
for j in range(len(cards)-1):
if not cards[j] < cards[j+1]:
return False
return True
class Move(object):
card: Card
x: int
y: int
def __init__(self, c: Card, x, y:int):
sel... | code_fim | medium | {
"lang": "python",
"repo": "morefreeze/LuckyNumberBoardGame",
"path": "/lucky_number/model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return f"m {self.card.n} {self.x} {self.y}"
def __repr__(self):
return self.ToCmd()
class Draw(object):
def ToCmd(self) -> str:
return f"d"
def __repr__(self):
return self.ToCmd()
class Pass(object):
def ToCmd(self) -> str:
return f"p"
... | code_fim | hard | {
"lang": "python",
"repo": "morefreeze/LuckyNumberBoardGame",
"path": "/lucky_number/model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> File must contain single dictionary on single row for each song.
For example::
{"title: "mysong 1", difficulty: 1, level: 5}
{"title: "mysong 2", difficulty: 2, level: 6}
...
:filename: Path to JSON file
:returns: None
"""
with open(filename) as infile:
... | code_fim | medium | {
"lang": "python",
"repo": "surfmikko/anthology",
"path": "/anthology/dbimport.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: surfmikko/anthology path: /anthology/dbimport.py
"""Import data to songs database"""
import sys
from json import loads
from pymongo import TEXT
from anthology.database import db_songs
<|fim_suffix|> index_fields = [
('title', TEXT),
('artist', TEXT)]
if text_index:
... | code_fim | hard | {
"lang": "python",
"repo": "surfmikko/anthology",
"path": "/anthology/dbimport.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pwais/au2018 path: /au/test/fixtures/test_nnmodel.py
from au import conf
from au.fixtures import dataset
from au.fixtures import nnmodel
from au.test import testconf
from au.test import testutils
import os
import unittest
import pytest
import tensorflow as tf
class Sobel(nnmodel.INNModel):
... | code_fim | hard | {
"lang": "python",
"repo": "pwais/au2018",
"path": "/au/test/fixtures/test_nnmodel.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert sobel_y_bytes == open(SOBEL_Y_TEST_IMG_PATH).read()
assert sobel_x_bytes == open(SOBEL_X_TEST_IMG_PATH).read()
# For debugging
visible_path = row.to_debug()
imageio.imwrite(visible_path + '.sobel_x.png', sobel_x)
imageio.imwrite(visible_path + '.sobel_y.png'... | code_fim | hard | {
"lang": "python",
"repo": "pwais/au2018",
"path": "/au/test/fixtures/test_nnmodel.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>Msg = Union[Ping, IndirectPingReq, AckResp, NackResp, Alive, Suspect, Dead,
PushPull]
PING_MSG = 1
INDIRECT_PING_MSG = 2
ACK_RESP_MSG = 3
SUSPECT_MSG = 4
ALIVE_MSG = 5
DEAD_MSG = 6
PUSH_PULL_MSG = 7
COMPOUND_MSG = 8
USER_MSG = 9
COMPRESS_MSG = 10
ENCRYPT_MSG = 11
NACK_RESP_MSG = 12
def deco... | code_fim | hard | {
"lang": "python",
"repo": "jettify/aioc",
"path": "/aioc/state.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jettify/aioc path: /aioc/state.py
import struct
import cbor
from collections import namedtuple
from enum import Enum
from typing import Any, Union, List
class EventType(str, Enum):
JOIN = 'JOIN'
UPDATE = 'UPDATE'
LEAVE = 'LEAVE'
class NodeStatus(int, Enum):
ALIVE = 1
DEAD... | code_fim | hard | {
"lang": "python",
"repo": "jettify/aioc",
"path": "/aioc/state.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rileyannis/CSE841-pycparser path: /generate_coverage_841.py
"""=============================
THIS IS CURRENTLY VERY UNFINISHED AND UNEXTENSIBLE. I MADE IT TO IMMEDIATELY
TACKLE THE PROBLEM I HAD TO SOLVE. IT ACTUALLY ONLY WORKS FROM THE DIRECTORY
ABOVE (OOPS). I'LL MODIFY IT TO MAKE IT MORE USEF... | code_fim | hard | {
"lang": "python",
"repo": "rileyannis/CSE841-pycparser",
"path": "/generate_coverage_841.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> #try:
# pass#subprocess.run(["rm", "-r", "replace/outputs/v*"])
#except:
# pass
#for each version in the given range...
start()
cov_lines = open("jfmc.db", 'r').readlines()
for version in range(1, 33):
out_file = open("coverage_small" + str(version) + ".db", ... | code_fim | hard | {
"lang": "python",
"repo": "rileyannis/CSE841-pycparser",
"path": "/generate_coverage_841.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> embedding_dim = 4
layer_class = LayernormSimpleRNN
layer = layer_class(
5,
use_layernorm=True,
return_sequences=False,
weights=None,
input_shape=(None, embedding_dim),
kernel_regularizer=keras.regularizers.l1(0... | code_fim | hard | {
"lang": "python",
"repo": "kmedian/keras-layernorm-rnn",
"path": "/keras_layernorm_rnn/layernorm_simplernn_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kmedian/keras-layernorm-rnn path: /keras_layernorm_rnn/layernorm_simplernn_test.py
import numpy as np
import tensorflow as tf
import tensorflow.keras as keras
from tensorflow.python.keras import testing_utils
# from tensorflow.python.framework import test_util # deprecated
from layernorm_simple... | code_fim | hard | {
"lang": "python",
"repo": "kmedian/keras-layernorm-rnn",
"path": "/keras_layernorm_rnn/layernorm_simplernn_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def check(reaction, user):
return user == ctx.author and str(reaction) in reaction_list and reaction.message.id == MG.id
try:
reaction, user = await self.app.wait_for('reaction_add', timeout=60, check=check)
... | code_fim | hard | {
"lang": "python",
"repo": "popop098/Taesia-Bot.py",
"path": "/cogs/etc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> e5 = discord.Embed(title='태시아봇 서버관리 도움말')
e5.add_field(name='ㅌ유저메모 [유저;@user] [내용]', value='지정한 상대에게 간단한 메모를 남겨요', inline=False)
e5.add_field(name='ㅌ메모삭제 [유저;@user]', value='지정한 상대에게 남긴 메모를 삭제해요', inline=False)
e5.add_field(name='ㅌ유저정보 [유저;@user]', value='지정한 상대의 정보를 확인해... | code_fim | hard | {
"lang": "python",
"repo": "popop098/Taesia-Bot.py",
"path": "/cogs/etc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: popop098/Taesia-Bot.py path: /cogs/etc.py
ti = tit.replace("</b>", "")
T = ti.replace(""", "")
link = i["originallink"]
des = i["description"]
d_e = des.replace("</b>", "")
... | code_fim | hard | {
"lang": "python",
"repo": "popop098/Taesia-Bot.py",
"path": "/cogs/etc.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lapd-c/curveball path: /src/python/cb/util/ff_cookies.py
#!/usr/bin/env python
#
# This material is based upon work supported by the Defense Advanced
# Research Projects Agency under Contract No. N66001-11-C-4017.
#
# Copyright 2014 - Raytheon BBN Technologies Corp.
#
# Licensed under the Apache ... | code_fim | hard | {
"lang": "python",
"repo": "lapd-c/curveball",
"path": "/src/python/cb/util/ff_cookies.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.cookies = dict()
cursor = self.conn.cursor()
query = 'SELECT baseDomain, name from moz_cookies ORDER BY id'
cursor.execute(query)
for (base_domain, cookie_name) in cursor.fetchall():
ascii_cookie = cookie_name.encode('ascii', 'ignore')
... | code_fim | hard | {
"lang": "python",
"repo": "lapd-c/curveball",
"path": "/src/python/cb/util/ff_cookies.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Launch.__init__(self)
def get_args(self):
'''Parse the input arguments.'''
ap = Launch.get_args(self, parse=False)
ap.add_argument('-a', '--annotation',
help="Label of annotation (default: '" + self.ANNO_DEFAULT + "')",
... | code_fim | hard | {
"lang": "python",
"repo": "jianzuoyi/long-rna-seq-pipeline",
"path": "/dnanexus/lrnaLaunch.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_args(self):
'''Parse the input arguments.'''
ap = Launch.get_args(self, parse=False)
ap.add_argument('-a', '--annotation',
help="Label of annotation (default: '" + self.ANNO_DEFAULT + "')",
choices=[self.ANNO_DEFAULT, 'M2... | code_fim | hard | {
"lang": "python",
"repo": "jianzuoyi/long-rna-seq-pipeline",
"path": "/dnanexus/lrnaLaunch.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jianzuoyi/long-rna-seq-pipeline path: /dnanexus/lrnaLaunch.py
"star_index": "star_index"},
"results": {"star_genome_bam": "star_genome_bam",
"star_anno_bam": "star_anno_bam"}
... | code_fim | hard | {
"lang": "python",
"repo": "jianzuoyi/long-rna-seq-pipeline",
"path": "/dnanexus/lrnaLaunch.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> d = (x1 - xc) / np.sin(gamma * np.pi/180)
y1 = yc + d * np.cos(gamma * np.pi/180)
# time array for SWAN input
time_input = pd.date_range(date_ini, periods=hours, freq='H')
# storm track (pd.DataFrame)
st = pd.DataFrame(index=time_input, columns=['move', 'vf', 'pn', 'p0', 'lon', '... | code_fim | medium | {
"lang": "python",
"repo": "teslakit/teslakit",
"path": "/teslakit/numerical_models/swan/storms.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: teslakit/teslakit path: /teslakit/numerical_models/swan/storms.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
from .geo import shoot
def track_from_parameters(
pmin, vmean, delta, gamma,
x0, y0, x1, R,
date_ini, hours,
great_circle=Fals... | code_fim | medium | {
"lang": "python",
"repo": "teslakit/teslakit",
"path": "/teslakit/numerical_models/swan/storms.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jnecus/ukbiobank-tools path: /ukbiobank/gui/menu_frame.py
# -*- coding: utf-8 -*-
"""
Created on Wed Mar 25 13:33:29 2020
@author: Joe
UKBiobank data loading utilities
"""
import wx
import ukbiobank
import ukbiobank.filtering
from ukbiobank.gui.output_csv import OutputCsvFrame
from ukbiobank.g... | code_fim | hard | {
"lang": "python",
"repo": "jnecus/ukbiobank-tools",
"path": "/ukbiobank/gui/menu_frame.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Function to gather all options selected
def selectionsGetter(self, event):
wx.MessageDialog(self, message="This function is not yet available").ShowModal()
# print(self.ukb_object.SELECTIONS)
return
# Function to set options selected (options should be submitted as a... | code_fim | hard | {
"lang": "python",
"repo": "jnecus/ukbiobank-tools",
"path": "/ukbiobank/gui/menu_frame.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>for mon in mar_dec:
firsts.append(firsts[-1] + mon)
print sum([1 for i in firsts if i%7==6])<|fim_prefix|># repo: branning/euler path: /problems/euler019.py
#!/usr/bin/env python
firsts = [1]
jan = 31
mar_dec = [31, 30, 31, 30, 31, 31, 30, 31, 30, 31]<|fim_middle|>
for year in range(1901,2001):
... | code_fim | medium | {
"lang": "python",
"repo": "branning/euler",
"path": "/problems/euler019.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: branning/euler path: /problems/euler019.py
#!/usr/bin/env python
firsts = [1]
jan = 31
mar_dec = [31, 30, 31, 30, 31, 31, 30, 31, 30, 31]<|fim_suffix|>for mon in mar_dec:
firsts.append(firsts[-1] + mon)
print sum([1 for i in firsts if i%7==6])<|fim_middle|>
for year in range(1901,2001):
... | code_fim | medium | {
"lang": "python",
"repo": "branning/euler",
"path": "/problems/euler019.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>0 != 0 or year % 400 == 0:
feb = 29
else:
feb = 28
firsts.append(firsts[-1] + feb)
for mon in mar_dec:
firsts.append(firsts[-1] + mon)
print sum([1 for i in firsts if i%7==6])<|fim_prefix|># repo: branning/euler path: /problems/euler019.py
#!/usr/bin/env python
firsts = [1]
jan = 31
... | code_fim | medium | {
"lang": "python",
"repo": "branning/euler",
"path": "/problems/euler019.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _https_send(self, method, url_path, ec_params):
#conn = httplib.HTTPSConnection(choice(self._iplist))
method = method.upper()
uri = 'https://%s%s' % (choice(self._iplist), url_path)
if method == 'GET':
if ec_params:
dest_url = '%s?%s' % (... | code_fim | hard | {
"lang": "python",
"repo": "francisar/ticket",
"path": "/common/sns_network.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #conn = httplib.HTTPSConnection(choice(self._iplist))
method = method.upper()
uri = 'https://%s%s' % (choice(self._iplist), url_path)
if method == 'GET':
if ec_params:
dest_url = '%s?%s' % (uri, ec_params)
else:
dest_u... | code_fim | hard | {
"lang": "python",
"repo": "francisar/ticket",
"path": "/common/sns_network.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: francisar/ticket path: /common/sns_network.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
import socket
import copy
import urllib,urllib2
from urllib2 import Request
from random import choice
import httplib
try:
import json
except ImportError:
import simplejson as json
#from sns_sig im... | code_fim | hard | {
"lang": "python",
"repo": "francisar/ticket",
"path": "/common/sns_network.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.