text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> for testcase in testcases:
assert testcase.get('name') in [key[0] for key in _ERROR_MAP.keys()]
assert len(testcase.findall('error')) > 0
for error in testcase.findall('error'):
assert error.get('message') in [key[1] for key in _ERROR_MAP.keys()]
assert ... | code_fim | hard | {
"lang": "python",
"repo": "colcon/colcon-sanitizer-reports",
"path": "/test/test_xml_output_generator.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> with importlib.resources.path("gufe.tests.data", "181l.cif") as filename:
protein_comp = get_molecule(str(filename))
assert isinstance(protein_comp, ProteinComponent)
assert isinstance(protein_comp.to_rdkit(), Chem.Mol)<|fim_prefix|># repo: OpenFreeEnergy/openfe path: /openfe... | code_fim | hard | {
"lang": "python",
"repo": "OpenFreeEnergy/openfe",
"path": "/openfecli/tests/parameters/test_protein.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OpenFreeEnergy/openfe path: /openfecli/tests/parameters/test_protein.py
import importlib
from importlib import resources
from rdkit import Chem
from gufe import ProteinComponent
from openfecli.parameters.protein import get_molecule
<|fim_suffix|> with importlib.resources.path("gufe.tests.dat... | code_fim | medium | {
"lang": "python",
"repo": "OpenFreeEnergy/openfe",
"path": "/openfecli/tests/parameters/test_protein.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>"""
This is the deprecated legacy high-level interface.
Everything here is canonically located at the root of the package.
New code should import directly from there, e.g. "from h5py import File".
"""
from __future__ import absolute_import
from ._hl import filters
from ._hl.base import ... | code_fim | medium | {
"lang": "python",
"repo": "ryfeus/lambda-packs",
"path": "/HDF4_H5_NETCDF/source2.7/h5py/highlevel.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ryfeus/lambda-packs path: /HDF4_H5_NETCDF/source2.7/h5py/highlevel.py
# This file is part of h5py, a Python interface to the HDF5 library.
#
# http://www.h5py.org
#
# Copyright 2008-2013 Andrew Collette and contributors
#
# License: Standard 3-clause BSD; see "license.txt" for full license terms... | code_fim | medium | {
"lang": "python",
"repo": "ryfeus/lambda-packs",
"path": "/HDF4_H5_NETCDF/source2.7/h5py/highlevel.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>from ._hl import filters
from ._hl.base import is_hdf5, HLObject
from ._hl.files import File
from ._hl.group import Group, SoftLink, ExternalLink, HardLink
from ._hl.dataset import Dataset
from ._hl.datatype import Datatype
from ._hl.attrs import AttributeManager<|fim_prefix|># repo: ryfeus/lambda-packs ... | code_fim | medium | {
"lang": "python",
"repo": "ryfeus/lambda-packs",
"path": "/HDF4_H5_NETCDF/source2.7/h5py/highlevel.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BPYap/voc path: /tests/structures/test_docstrings.py
from ..utils import TranspileTestCase
class DocstringTests(TranspileTestCase):
def test_method_docstring(self):
<|fim_suffix|> def test_naked_string(self):
self.assertCodeExecution("""
def test():
x ... | code_fim | hard | {
"lang": "python",
"repo": "BPYap/voc",
"path": "/tests/structures/test_docstrings.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertCodeExecution("""
def test():
x = 3
"This is a naked string"
return x
print(test())
print(test.__doc__)
""")<|fim_prefix|># repo: BPYap/voc path: /tests/structures/test_docstrings.py
from .... | code_fim | hard | {
"lang": "python",
"repo": "BPYap/voc",
"path": "/tests/structures/test_docstrings.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> x = 3
"This is a naked string"
return x
print(test())
print(test.__doc__)
""")<|fim_prefix|># repo: BPYap/voc path: /tests/structures/test_docstrings.py
from ..utils import TranspileTestCase
class DocstringTests(Transp... | code_fim | hard | {
"lang": "python",
"repo": "BPYap/voc",
"path": "/tests/structures/test_docstrings.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Abhinav1004/Network_Programming path: /one_to_one/client.py
#client code
from socket import *
s=socket(AF_INET,SOCK_STREAM)
<|fim_suffix|>s.connect((host,port))
text=input('Enter the text')
while text!='q':
s.send(text.encode('utf-8'))
data=s.recv(1024)
print('The data received is %s'%str(da... | code_fim | easy | {
"lang": "python",
"repo": "Abhinav1004/Network_Programming",
"path": "/one_to_one/client.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>s.connect((host,port))
text=input('Enter the text')
while text!='q':
s.send(text.encode('utf-8'))
data=s.recv(1024)
print('The data received is %s'%str(data.decode('utf-8')))
text=input('Enter the text')
s.close()<|fim_prefix|># repo: Abhinav1004/Network_Programming path: /one_to_one/client.py
#clien... | code_fim | easy | {
"lang": "python",
"repo": "Abhinav1004/Network_Programming",
"path": "/one_to_one/client.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fengshunli/devops path: /release/project/urls.py
from django.conf.urls import url
<|fim_suffix|>urlpatterns = [
url(r'^$', views.index, name="release/project/index"),
url(r'^add$', views.add, name="release/project/add"),
url(r'^add_project$', views.add_project, name="release/project/... | code_fim | easy | {
"lang": "python",
"repo": "fengshunli/devops",
"path": "/release/project/urls.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>urlpatterns = [
url(r'^$', views.index, name="release/project/index"),
url(r'^add$', views.add, name="release/project/add"),
url(r'^add_project$', views.add_project, name="release/project/add_project"),
]<|fim_prefix|># repo: fengshunli/devops path: /release/project/urls.py
from django.conf.u... | code_fim | easy | {
"lang": "python",
"repo": "fengshunli/devops",
"path": "/release/project/urls.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: afree2004/craftassist path: /python/craftassist/ttad/ttad_transformer_model/train_model.py
import argparse
import functools
import json
import logging
import logging.handlers
import os
import pickle
from os.path import isfile
from os.path import join as pjoin
from glob import glob
from tqdm impo... | code_fim | hard | {
"lang": "python",
"repo": "afree2004/craftassist",
"path": "/python/craftassist/ttad/ttad_transformer_model/train_model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # make data sampler
train_sampler = SequentialSampler(dataset)
model_collate_fn = functools.partial(caip_collate, tokenizer=tokenizer)
train_dataloader = DataLoader(
dataset, sampler=train_sampler, batch_size=args.batch_size, collate_fn=model_collate_fn
)
epoch_iterator = t... | code_fim | hard | {
"lang": "python",
"repo": "afree2004/craftassist",
"path": "/python/craftassist/ttad/ttad_transformer_model/train_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@pytest.mark.sqspolicy
def test_sqs_policy(queue, remediated):
"""
Actual testing function.
:param queue: queue details
:param remediated:
:return: nothing, raises AssertionError if actual test result is not matched with expected
"""
expected = True if remediated else find_ru... | code_fim | hard | {
"lang": "python",
"repo": "kurmiashish/hammer",
"path": "/tests/test_sqs-policy.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kurmiashish/hammer path: /tests/test_sqs-policy.py
import pytest
from . import mock_sqs
from library.aws.sqs import SQSPolicyChecker
from library.aws.utility import Account
region = "us-west-1"
queues = {
"Queue": {
"Description": "Queue without policy",
"CheckShouldPass":... | code_fim | hard | {
"lang": "python",
"repo": "kurmiashish/hammer",
"path": "/tests/test_sqs-policy.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: anuraagbaishya/uiautomator path: /uiautomator/not_found_handler.py
import collections
class NotFoundHandler(object):
<|fim_suffix|> def __init__(self):
self.__handlers = collections.defaultdict(lambda: {'on': True, 'handlers': []})
def __get__(self, instance, type):
retu... | code_fim | medium | {
"lang": "python",
"repo": "anuraagbaishya/uiautomator",
"path": "/uiautomator/not_found_handler.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self):
self.__handlers = collections.defaultdict(lambda: {'on': True, 'handlers': []})
def __get__(self, instance, type):
return self.__handlers[instance.adb.device_serial()]<|fim_prefix|># repo: anuraagbaishya/uiautomator path: /uiautomator/not_found_handler.py
impo... | code_fim | medium | {
"lang": "python",
"repo": "anuraagbaishya/uiautomator",
"path": "/uiautomator/not_found_handler.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.__handlers[instance.adb.device_serial()]<|fim_prefix|># repo: anuraagbaishya/uiautomator path: /uiautomator/not_found_handler.py
import collections
class NotFoundHandler(object):
<|fim_middle|>
'''
Handler for UI Object Not Found exception.
It's a replacement of UiAutoma... | code_fim | hard | {
"lang": "python",
"repo": "anuraagbaishya/uiautomator",
"path": "/uiautomator/not_found_handler.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Auxiliary function for getting the quota from a project ID.
Used on requests by waterbutler and the user (from browser)."""
node = AbstractNode.load(pid)
max_quota, used_quota = quota.get_quota_info(
node.creator, quota.get_project_storage_type(node)
)
return {
'... | code_fim | medium | {
"lang": "python",
"repo": "RCOSDP/RDM-osf.io",
"path": "/website/project/views/quota.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RCOSDP/RDM-osf.io path: /website/project/views/quota.py
from framework.auth.decorators import must_be_signed
from osf.models import AbstractNode
from website.project.decorators import must_be_contributor_or_public
from website.util import quota
from api.base import settings as api_settings
<|fim... | code_fim | hard | {
"lang": "python",
"repo": "RCOSDP/RDM-osf.io",
"path": "/website/project/views/quota.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>dqn = DQNInference(env=env,
model=model,
input_shape=input_shape,
observation_preprocessors=[grayscale],
frame_buffer_size=4,
warmup_actions=4)
dqn.play_round(sleep=50)<|fim_prefix|># repo: LukeWood/sota-dqn p... | code_fim | medium | {
"lang": "python",
"repo": "LukeWood/sota-dqn",
"path": "/examples/cnn/inference.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LukeWood/sota-dqn path: /examples/cnn/inference.py
import gym
from constants import persistence_file
from sota_dqn import DQNInference
from preprocessing import grayscale
import tensorflow as tf
env = gym.make("MsPacman-v0")
input_shape = env.observation_space.shape[:-1]
<|fim_suffix|>dqn = DQ... | code_fim | medium | {
"lang": "python",
"repo": "LukeWood/sota-dqn",
"path": "/examples/cnn/inference.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: intel/test-framework-and-suites-for-android path: /acs/acs/UseCase/Misc/EXEC.py
er: Apache-2.0
"""
import platform
import os.path
import re
import subprocess
import tempfile
import time
import shlex
import sys
import json
from acs.UseCase.UseCaseBase import UseCaseBase
from acs.UtilitiesFWK.Ut... | code_fim | hard | {
"lang": "python",
"repo": "intel/test-framework-and-suites-for-android",
"path": "/acs/acs/UseCase/Misc/EXEC.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # In that condition, isdigit is called on string
elif isinstance(expected_result, int) or\
((isinstance(expected_result, str) or
isinstance(expected_result, unicode))
and expected_result.isdigit()):
... | code_fim | hard | {
"lang": "python",
"repo": "intel/test-framework-and-suites-for-android",
"path": "/acs/acs/UseCase/Misc/EXEC.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if "[MY_PATH]" in command:
command = command.replace("[MY_PATH]",
os.path.dirname(
os.path.abspath(
self._tc_parameters.get_file_path()))
... | code_fim | hard | {
"lang": "python",
"repo": "intel/test-framework-and-suites-for-android",
"path": "/acs/acs/UseCase/Misc/EXEC.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: willettk/ancientlives path: /python/separate.py
# from the dictionary of the number of users for each fragment
flist = []
with open("sortedFragments.txt","r") as ff:
next(ff)
for line in ff:
l = line.strip()
v = l.split(",")
flist.append(v)
# form a data st... | code_fim | medium | {
"lang": "python",
"repo": "willettk/ancientlives",
"path": "/python/separate.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> fhandle.append(open(fn,'w'))
for f in flist:
frag = int(f[0])
userCount = int(f[2])
try:
ii = glist[userCount-1]
fhandle[ii].write('%i\n' % frag)
except:
print 'bad ', frag, userCount
for fh in fhandle:
fh.close()<|fim_prefix|># repo: willettk/ancie... | code_fim | hard | {
"lang": "python",
"repo": "willettk/ancientlives",
"path": "/python/separate.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
for f in flist:
frag = int(f[0])
userCount = int(f[2])
try:
ii = glist[userCount-1]
fhandle[ii].write('%i\n' % frag)
except:
print 'bad ', frag, userCount
for fh in fhandle:
fh.close()<|fim_prefix|># repo: willettk/ancientlives path: /python/separate.py... | code_fim | hard | {
"lang": "python",
"repo": "willettk/ancientlives",
"path": "/python/separate.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for root, dirs, files in os.walk(train_dir, topdown=True):
for name in files:
if not name[-3:]=='jpg':
continue
ID = name.split('_')
src_dir = os.path.join(train_dir , name)
dst_dir = os.path.join(trai... | code_fim | hard | {
"lang": "python",
"repo": "chunibyo-wly/SmartCities",
"path": "/model/attribute/datafolder/reid_dataset/pytorch_prepare.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chunibyo-wly/SmartCities path: /model/attribute/datafolder/reid_dataset/pytorch_prepare.py
import os
from shutil import copyfile
def pytorch_prepare(data_dir, dataset_name):
dataset_dir = os.path.join(data_dir, dataset_name)
if not os.path.isdir(dataset_dir):
print('please chang... | code_fim | hard | {
"lang": "python",
"repo": "chunibyo-wly/SmartCities",
"path": "/model/attribute/datafolder/reid_dataset/pytorch_prepare.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 6. install ReDroid app
p = subprocess.Popen(["adb", "-s", emulator_id, "install", "-r", "-g",
os.path.join(redroid_path, REDROID_APK_PATH)])
def parse_args():
"""
parse command line input
"""
parser = argparse.ArgumentParser(description="Launch a defau... | code_fim | hard | {
"lang": "python",
"repo": "xianlimei/ReDroid",
"path": "/default_workflow/default_workflow.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xianlimei/ReDroid path: /default_workflow/default_workflow.py
import json
import os
import argparse
import shutil
import subprocess
# common default items
CONFIG_TIMEOUT = 600
CONFIG_INTERVAL = 10
CONFIG_SLEEP_INTERVAL = 3
# trace_collector_config.json default items
TRACE_COLLECTOR_CONFIG_DROID... | code_fim | hard | {
"lang": "python",
"repo": "xianlimei/ReDroid",
"path": "/default_workflow/default_workflow.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Pamyuu/SO-Pose path: /core/gdrn_selfocc_modeling/tools/utils.py
import numpy as np
import math
import torch
from transforms3d.axangles import axangle2mat
from transforms3d.quaternions import axangle2quat, mat2quat, qmult, quat2mat
from .pose_utils import quat2mat_torch
from detectron2.layers impo... | code_fim | hard | {
"lang": "python",
"repo": "Pamyuu/SO-Pose",
"path": "/core/gdrn_selfocc_modeling/tools/utils.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return torch.stack((w, x, y, z), dim=2)
def allocentric_to_egocentric_torch(translation, q_allo, eps=1e-4):
"""Given an allocentric (object-centric) pose, compute new camera-centric
pose Since we do detection on the image plane and our kernels are
2D-translationally invariant, we need to... | code_fim | hard | {
"lang": "python",
"repo": "Pamyuu/SO-Pose",
"path": "/core/gdrn_selfocc_modeling/tools/utils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: frederik14/tabletennis_dashboard path: /server/src/entities.py
import pickle
import os
class GameSet:
def __init__(self, home_score = 0, out_score = 0):
self.home = home_score
self.out = out_score
class Game():
total_games = 0
def __init__(self, home_player, out_play... | code_fim | hard | {
"lang": "python",
"repo": "frederik14/tabletennis_dashboard",
"path": "/server/src/entities.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.name = name
self.rank = rank
self.wins = 0
self.losses = 0
class Players:
def __init__(self):
self.list = []
self.sets = set()
def add_player(self, name):
if name in self.sets:
return 'Player already exists.'
... | code_fim | hard | {
"lang": "python",
"repo": "frederik14/tabletennis_dashboard",
"path": "/server/src/entities.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>Throughout this sub-package, "PW" stands for piecewise.
"""<|fim_prefix|># repo: NGoetz/zunis path: /zunis_lib/zunis/models/flows/coupling_cells/piecewise_coupling/__init__.py
"""Piecewise coupling cells
Coupling cells whose transform f is defined as the primitive of a function g
such that
* f(0) = 0
* f... | code_fim | medium | {
"lang": "python",
"repo": "NGoetz/zunis",
"path": "/zunis_lib/zunis/models/flows/coupling_cells/piecewise_coupling/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NGoetz/zunis path: /zunis_lib/zunis/models/flows/coupling_cells/piecewise_coupling/__init__.py
"""Piecewise coupling cells
Coupling cells whose transform f is defined as the primitive of a function g
such that
* f(0) = 0
* f(1) = 1
* g(y,t^N) > 0
* g is a piecewise-simple function
<|fim_suffix|>... | code_fim | medium | {
"lang": "python",
"repo": "NGoetz/zunis",
"path": "/zunis_lib/zunis/models/flows/coupling_cells/piecewise_coupling/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Feriority/lrrbot path: /eris/channel_reaper.py
import asyncio
import datetime
import pytz
import discord
from common.config import config
from common import utils
import logging
log = logging.getLogger('eris.channel_reaper')
class ChannelReaper:
def __init__(self, eris, signals):
<|fim_suffi... | code_fim | hard | {
"lang": "python",
"repo": "Feriority/lrrbot",
"path": "/eris/channel_reaper.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def schedule_reap_channels(self):
asyncio.ensure_future(self.reap_channels(), loop=self.eris.loop).add_done_callback(utils.check_exception)
self.eris.loop.call_later(60, self.schedule_reap_channels)
def schedule_timer(self, eris):
if not self.timer_scheduled:
self.timer_scheduled = True
sel... | code_fim | hard | {
"lang": "python",
"repo": "Feriority/lrrbot",
"path": "/eris/channel_reaper.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mindspore-ai/models path: /research/cv/EfficientDet_d0/src/efficientnet/model.py
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the Lice... | code_fim | hard | {
"lang": "python",
"repo": "mindspore-ai/models",
"path": "/research/cv/EfficientDet_d0/src/efficientnet/model.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """ MBConv Block forward """
x = inputs
if self._block_args["expand_ratio"] != 1:
x = self._expand_conv(inputs)
x = self._bn0(x)
x = self._swish(x)
x = self._depthwise_conv(x)
x = self._bn1(x)
x = self._swish(x)
... | code_fim | hard | {
"lang": "python",
"repo": "mindspore-ai/models",
"path": "/research/cv/EfficientDet_d0/src/efficientnet/model.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ramseyboy/tabletop-scanner path: /tabletopscanner/__init__.py
from flask import Flask
app = Flask(__name__)
from flask_mongoalchemy import MongoAlchemy
<|fim_suffix|>import tabletopscanner.views<|fim_middle|>app.config['MONGOALCHEMY_DATABASE'] = 'library'
db = MongoAlchemy(app)
| code_fim | medium | {
"lang": "python",
"repo": "ramseyboy/tabletop-scanner",
"path": "/tabletopscanner/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>import tabletopscanner.views<|fim_prefix|># repo: ramseyboy/tabletop-scanner path: /tabletopscanner/__init__.py
from flask import Flask
app = Flask(__name__)
from flask_mongoalchemy import MongoAlchemy
<|fim_middle|>app.config['MONGOALCHEMY_DATABASE'] = 'library'
db = MongoAlchemy(app)
| code_fim | medium | {
"lang": "python",
"repo": "ramseyboy/tabletop-scanner",
"path": "/tabletopscanner/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> print(liste[0],"",liste[1],"",liste[2])
print(liste[3],"",liste[4],"",liste[5])
print(liste[6],"",liste[7],"",liste[8])
if x_win() == True:
print("1. OYUNCU KAZANDI")
time.sleep(5)
break
elif o_win() == True:
p... | code_fim | hard | {
"lang": "python",
"repo": "HaktanBilginTR/Programlarim",
"path": "/Programlar/Python Uygulamaları/Tic Tac Toe XOX.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HaktanBilginTR/Programlarim path: /Programlar/Python Uygulamaları/Tic Tac Toe XOX.py
import time
print("---------------------------------")
print("Tic Tac Toe/XOX Oyununa Hoşgeldin\n1. Oyuncu = X\n2. Oyuncu = O")
print("---------------------------------")
liste = []
def x_win():
i... | code_fim | hard | {
"lang": "python",
"repo": "HaktanBilginTR/Programlarim",
"path": "/Programlar/Python Uygulamaları/Tic Tac Toe XOX.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> elif o_win() == True:
print("2. OYUNCU KAZANDI")
time.sleep(5)
break
elif berabere() == True:
print("BERABERE")
time.sleep(5)
break
giris2 = int(input("2. Oyuncu :"))
if x_win() == True:
print("1. OYUNCU KAZANDI")
t... | code_fim | hard | {
"lang": "python",
"repo": "HaktanBilginTR/Programlarim",
"path": "/Programlar/Python Uygulamaları/Tic Tac Toe XOX.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_dense_matrix(self):
A = np.array([[1, 2, 3, 4, 0, 5, 0, 7],
[0, 8, 7, 0, 1, 5, 9, 0],
[1, 0, 0, 0, 0, 1, 2, 3]])
test_vectors = ([-1.98931144, -1.56363389,
-0.84115584, 2.2864762,
5.... | code_fim | hard | {
"lang": "python",
"repo": "mgreminger/trust-constr",
"path": "/tests/test_projections.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_dense_matrix(self):
A = np.array([[1, 2, 3, 4, 0, 5, 0, 7],
[0, 8, 7, 0, 1, 5, 9, 0],
[1, 0, 0, 0, 0, 1, 2, 3]])
test_vectors = ([-1.98931144, -1.56363389,
-0.84115584, 2.2864762,
5.5... | code_fim | hard | {
"lang": "python",
"repo": "mgreminger/trust-constr",
"path": "/tests/test_projections.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mgreminger/trust-constr path: /tests/test_projections.py
import numpy as np
from trust_constr._trustregion_constr.projections \
import projections, orthogonality
from numpy.testing import (TestCase, assert_array_almost_equal,
assert_equal, assert_allclose)
availabl... | code_fim | hard | {
"lang": "python",
"repo": "mgreminger/trust-constr",
"path": "/tests/test_projections.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def dfs(self, board, i, j):
if board[i - 1][j] == 'O' and i - 1 == 0:
return
if board[i][j - 1] == 'O' and j - 1 == 0:
return
if board[i + 1][j] == 'O' and i + 1 == len(board) - 1:
return
if board[i][j + 1] == 'O' and j + 1 == len(boa... | code_fim | hard | {
"lang": "python",
"repo": "cozyo/algo-learn",
"path": "/python/disjointset/leetcode/surrounded_regions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cozyo/algo-learn path: /python/disjointset/leetcode/surrounded_regions.py
from typing import List
# 被围绕的区域
class Solution:
# 深度优先搜索
def solve(self, board: List[List[str]]) -> None:
<|fim_suffix|> if board[i - 1][j] == 'O' and i - 1 == 0:
return
if board[i][j... | code_fim | hard | {
"lang": "python",
"repo": "cozyo/algo-learn",
"path": "/python/disjointset/leetcode/surrounded_regions.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if board[i - 1][j] == 'O' and i - 1 == 0:
return
if board[i][j - 1] == 'O' and j - 1 == 0:
return
if board[i + 1][j] == 'O' and i + 1 == len(board) - 1:
return
if board[i][j + 1] == 'O' and j + 1 == len(board[i]) - 1:
return<|... | code_fim | hard | {
"lang": "python",
"repo": "cozyo/algo-learn",
"path": "/python/disjointset/leetcode/surrounded_regions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: onap/dcaegen2-platform-cli path: /dcae-cli/dcae_cli/util/__init__.py
# ============LICENSE_START=======================================================
# org.onap.dcae
# ================================================================================
# Copyright (c) 2017 AT&T Intellectual Propert... | code_fim | hard | {
"lang": "python",
"repo": "onap/dcaegen2-platform-cli",
"path": "/dcae-cli/dcae_cli/util/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def write_pref(pref, path):
'''Writes a preference json file to disk'''
makedirs(os.path.dirname(path), exist_ok=True)
with open(path, 'w') as file:
json.dump(pref, file)
def reraise_with_msg(e, msg=None, cls=None, as_dcae=False):
'''Reraises exception e with an additional messa... | code_fim | hard | {
"lang": "python",
"repo": "onap/dcaegen2-platform-cli",
"path": "/dcae-cli/dcae_cli/util/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def fetch_file_from_web(server_url, path, transform_func=json.loads):
"""Fetch file from a web server
The default behavior is to transform the response to a json.
"""
artifact_url = "{0}/{1}".format(server_url, path)
r = requests.get(artifact_url)
r.raise_for_status()
if trans... | code_fim | hard | {
"lang": "python",
"repo": "onap/dcaegen2-platform-cli",
"path": "/dcae-cli/dcae_cli/util/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> @abc.abstractmethod
def client_streaming_signature(self, method: ProtoServiceMethod,
prefix: str) -> str:
"""Returns the signature of this client streaming method."""
def client_streaming_stub( # pylint: disable=no-self-use
self, unused_... | code_fim | hard | {
"lang": "python",
"repo": "waelbarakat/pigweed",
"path": "/pw_rpc/py/pw_rpc/codegen.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> _generate_deprecated_aliases(gen, [
cast(ProtoService, n)
for n in proto_package if n.type() == ProtoNode.Type.SERVICE
])
if file_namespace:
gen.line('} // namespace ' + file_namespace)
gen.line()
gen.line('// Specialize MethodInfo for each RPC to provide met... | code_fim | hard | {
"lang": "python",
"repo": "waelbarakat/pigweed",
"path": "/pw_rpc/py/pw_rpc/codegen.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: waelbarakat/pigweed path: /pw_rpc/py/pw_rpc/codegen.py
k and send a response as '
'appropriate for your application')
STUB_READER_WRITER_TODO = (
'// TODO: Set the client stream callback and send responses as '
'appropriate for your application')
class CodeGenerator(abc.ABC):
""... | code_fim | hard | {
"lang": "python",
"repo": "waelbarakat/pigweed",
"path": "/pw_rpc/py/pw_rpc/codegen.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_point_2(self):
cs = point_to_names(lon=5.983333, lat=50.883333)
self.assertEqual(cs, ['France', 'Germany', 'Netherlands'])
def test_point_3(self):
cs = point_to_names(lon=-171.714086, lat=-75.185789)
self.assertEqual(cs, ['Antarctica'])
def test_point... | code_fim | hard | {
"lang": "python",
"repo": "ykamo001/country-bounding-boxes",
"path": "/country_bounding_boxes/tests.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ykamo001/country-bounding-boxes path: /country_bounding_boxes/tests.py
from unittest import TestCase
from country_bounding_boxes import (
country_subunits_containing_point as by_point,
country_subunits_by_iso_code as by_code,
)
def code_to_names(code):
bc = by_code(code)
print(... | code_fim | hard | {
"lang": "python",
"repo": "ykamo001/country-bounding-boxes",
"path": "/country_bounding_boxes/tests.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i in range(frontRowCount): # randomly pick front row enemies
tempEnemyIndex = randint(0,len(frontRowPossibilities)-1)
frontRow.append(Enemy(frontRowPossibilities[tempEnemyIndex],i))
for i in range(backRowCount): # randomly pick back row enemies
tempE... | code_fim | hard | {
"lang": "python",
"repo": "FireElementalNE/AI-Final-Project",
"path": "/src/game.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FireElementalNE/AI-Final-Project path: /src/game.py
import sys,time,functions,getpass # Imports
from random import randint
from config import *
from player import Player
from enemies import *
from states import States
# runs the game
def runGame():
playerClasses = ['Fighter', 'Thief'] # poss... | code_fim | hard | {
"lang": "python",
"repo": "FireElementalNE/AI-Final-Project",
"path": "/src/game.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: guminov/pycameresp path: /modules/main.py
# Distributed under MIT License
# Copyright (c) 2021 Remi BERTHOLET
import sys
try:
import uasyncio
except:
sys.path.append("lib")
sys.path.append("simul")
sys.path.append("sample")
import uasyncio
import machine
from tools.battery import Battery
from ... | code_fim | hard | {
"lang": "python",
"repo": "guminov/pycameresp",
"path": "/modules/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # The html pages only loaded when the connection of http server is done
# This reduces memory consumption if the server is not used
# pylint: disable=unused-import
# pylint: disable=redefined-outer-name
import webpage
from server.httpserver import HttpServer
try:
# Welcome page (can be suppresse... | code_fim | medium | {
"lang": "python",
"repo": "guminov/pycameresp",
"path": "/modules/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> d1 = Y - Y_hat
d2 = Y - Y.mean()
R2 = 1 - d1.dot(d1) / d2.dot(d2)
print("The R^2 is: ", R2)
return R2
if __name__ == '__main__':
# We first load and visualise the data:
X = []
Y = []
for line in open('../large_files/data_1d.csv'):
x, y = line.split(',')
... | code_fim | medium | {
"lang": "python",
"repo": "AndreiRoibu/LinearRegression",
"path": "/one_dimensional_linear_regression/one_dimensional_linear_regression_solution.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AndreiRoibu/LinearRegression path: /one_dimensional_linear_regression/one_dimensional_linear_regression_solution.py
import numpy as np
import matplotlib.pyplot as plt
def LR_1D_calculator(X,Y, xlabel=None, ylabel=None):
# We now solve the equation y = aX + b
X_mean = X.mean()
X_sum =... | code_fim | medium | {
"lang": "python",
"repo": "AndreiRoibu/LinearRegression",
"path": "/one_dimensional_linear_regression/one_dimensional_linear_regression_solution.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def post(self):
defined = []
for v in self.application.parameters:
if v.type is bool:
inp = v.with_value(self.get_argument(v.name, default='off') == 'on')
else:
inp = v.with_value(v.type(self.get_argument(v.name)))
def... | code_fim | medium | {
"lang": "python",
"repo": "takluyver/nbparameterise",
"path": "/examples/webapp.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: takluyver/nbparameterise path: /examples/webapp.py
#!/usr/bin/env python3
"""Present an HTML form for the parameters of a notebook, and run it on submission.
To use this example, run::
python3 webapp.py "Stock display.ipynb"
The form fields are not hardcoded here; they are built from the n... | code_fim | medium | {
"lang": "python",
"repo": "takluyver/nbparameterise",
"path": "/examples/webapp.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> nb = replace_definitions(self.application.nb, defined)
nb = execute(nb, cwd=os.path.dirname(self.application.path))
output, _ = HTMLExporter().from_notebook_node(nb)
self.write(output)
class NbparameteriseApplication(tornado.web.Application):
def __init__(self, path):... | code_fim | hard | {
"lang": "python",
"repo": "takluyver/nbparameterise",
"path": "/examples/webapp.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> action_id, x, y = action_idx
adjusted_x = x - self.multi_output_ranges[1]
adjusted_y = y - self.multi_output_ranges[2]
gridwidth = self.map_size_x / self.x_gridsize
gridheight = self.map_size_y / self.y_gridsize
xtarget = int((adjusted_x * gridwidth) + ra... | code_fim | hard | {
"lang": "python",
"repo": "UFRN-URNAI/urnai-tools",
"path": "/urnai/agents/actions/mo_spatial_terran_wrapper.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: UFRN-URNAI/urnai-tools path: /urnai/agents/actions/mo_spatial_terran_wrapper.py
FROM:"""
# BUILD COMMAND CENTER
if named_action == sc2_wrapper.ACTION_BUILD_COMMAND_CENTER:
actions = build_structure_raw_pt_spatial(obs, units.Terran.CommandCenter,
... | code_fim | hard | {
"lang": "python",
"repo": "UFRN-URNAI/urnai-tools",
"path": "/urnai/agents/actions/mo_spatial_terran_wrapper.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # TRAIN CYCLONE
if named_action == sc2_wrapper.ACTION_TRAIN_CYCLONE:
return train_unit(obs, sc2._TRAIN_CYCLONE, units.Terran.Factory)
# TRAIN WIDOWMINE
if named_action == sc2_wrapper.ACTION_TRAIN_WIDOWMINE:
return train_unit(obs, sc2._TRAIN_WIDOWMIN... | code_fim | hard | {
"lang": "python",
"repo": "UFRN-URNAI/urnai-tools",
"path": "/urnai/agents/actions/mo_spatial_terran_wrapper.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thakur-amrita/Cardea path: /cardea/fhir/Basic.py
from .fhirbase import fhirbase
class Basic(fhirbase):
"""
Basic is used for handling concepts not yet defined in FHIR,
narrative-only resources that don't map to an existing resource, and
custom resources not appropriate for inclu... | code_fim | hard | {
"lang": "python",
"repo": "thakur-amrita/Cardea",
"path": "/cardea/fhir/Basic.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> {'parent_entity': 'CodeableConcept',
'parent_variable': 'object_id',
'child_entity': 'Basic',
'child_variable': 'code'},
{'parent_entity': 'Reference',
'parent_variable': 'identifier',
'child_entity': 'Basic',
... | code_fim | hard | {
"lang": "python",
"repo": "thakur-amrita/Cardea",
"path": "/cardea/fhir/Basic.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_relationships(self):
return [
{'parent_entity': 'Reference',
'parent_variable': 'identifier',
'child_entity': 'Basic',
'child_variable': 'author'},
{'parent_entity': 'CodeableConcept',
'parent_variable': 'obj... | code_fim | hard | {
"lang": "python",
"repo": "thakur-amrita/Cardea",
"path": "/cardea/fhir/Basic.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def extract_description(html_doc):
try:
soup = BeautifulSoup(html_doc, 'html.parser')
description = soup.find(attrs={"name":re.compile('description',re.IGNORECASE)})['content']
except:
description = None
return description
def extract_corpus(html... | code_fim | hard | {
"lang": "python",
"repo": "NanZhang715/web_classification",
"path": "/model/utils/feature_parse.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @return:
DataFrame
'''
#web_df = read_snapshot(file_list)
#if web_df.empty:
# return None
#print('{} rows in DataFrame'.format(web_df.shape[0]))
# Extract features
web_df['title'] = web_df['unicode'].map(lambda s :extract_title(str(s)))
web_df['keywords'] = ... | code_fim | hard | {
"lang": "python",
"repo": "NanZhang715/web_classification",
"path": "/model/utils/feature_parse.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NanZhang715/web_classification path: /model/utils/feature_parse.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Feb 21 11:24:34 2019
@author: nzhang
"""
import pandas as pd
#import modin.pandas as pd
import codecs
import re
from bs4 import BeautifulSoup
import multiproces... | code_fim | hard | {
"lang": "python",
"repo": "NanZhang715/web_classification",
"path": "/model/utils/feature_parse.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>toothOBEXSessionOpenTransportConnection": (
b"i^{OpaqueOBEXSessionRef=}^?^v",
"",
{
"arguments": {
1: {
"callable": {
"retval": {"type": b"v"},
"arguments": {
... | code_fim | hard | {
"lang": "python",
"repo": "ronaldoussoren/pyobjc",
"path": "/pyobjc-framework-IOBluetooth/Lib/IOBluetooth/_metadata.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ronaldoussoren/pyobjc path: /pyobjc-framework-IOBluetooth/Lib/IOBluetooth/_metadata.py
ronousConnectionPacketType2EV3Omit@64$kBluetoothSynchronousConnectionPacketType2EV5Omit@256$kBluetoothSynchronousConnectionPacketType3EV3Omit@128$kBluetoothSynchronousConnectionPacketType3EV5Omit@512$kBluetooth... | code_fim | hard | {
"lang": "python",
"repo": "ronaldoussoren/pyobjc",
"path": "/pyobjc-framework-IOBluetooth/Lib/IOBluetooth/_metadata.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ronaldoussoren/pyobjc path: /pyobjc-framework-IOBluetooth/Lib/IOBluetooth/_metadata.py
jectRef": objc.createOpaquePointerType(
"IOBluetoothObjectRef", b"^{OpaqueIOBluetoothObjectRef=}"
),
"OBEXSessionRef": objc.createOpaquePointerType(
"OBEXSessionRef", b"^... | code_fim | hard | {
"lang": "python",
"repo": "ronaldoussoren/pyobjc",
"path": "/pyobjc-framework-IOBluetooth/Lib/IOBluetooth/_metadata.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hquu/WayFinder path: /py_src/Mysql/dumpJson.py
import mysql.connector
import json
import re
from math import sin, cos, sqrt, atan2, radians
import sys
# Adding the path of self-def Library
sys.path.append("C:/Users/A02wxy/Documents/GitHub/WayFinder/Direction/Library/script/")
from featureCollecti... | code_fim | medium | {
"lang": "python",
"repo": "hquu/WayFinder",
"path": "/py_src/Mysql/dumpJson.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i in range(0, len(geoSource)):
floor = "sf_" + str(i + 1) + "f"
# initiating features from geoJson Data
floorData = geoSource[i]
floorFeatures = floorData["features"]
features = []
for feature in floorFeatures:
Afeature = Feature(feature... | code_fim | hard | {
"lang": "python",
"repo": "hquu/WayFinder",
"path": "/py_src/Mysql/dumpJson.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # checking if table exists
sql_checkTable = "SHOW TABLES LIKE %s"
mycursor.execute(sql_checkTable, (floor, ))
result = mycursor.fetchone()
if result == None:
sql_create = "CREATE TABLE " + floor + "(type VARCHAR(255), id VARCHAR(255), name VARCHAR(255), ... | code_fim | hard | {
"lang": "python",
"repo": "hquu/WayFinder",
"path": "/py_src/Mysql/dumpJson.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> weather_data = get_weather(args.query, args.date, args.type)
print_weather_details(weather_data)
if __name__ == "__main__":
main()<|fim_prefix|># repo: vinodshetty94/web_forecast path: /weather_reporter/cli.py
import argparse
from .utils import *
from datetime import datetime
def main():
# create... | code_fim | hard | {
"lang": "python",
"repo": "vinodshetty94/web_forecast",
"path": "/weather_reporter/cli.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> parser.add_argument("-t", "--type", type=str, nargs=1,
metavar="type", default="tenday", help="type available [hourbyhour, 5day, tenday, monthly, today, weekend")
# parse the arguments from standard input
args = parser.parse_args()
weather_data = get_weather(args.query, args.date, args.typ... | code_fim | hard | {
"lang": "python",
"repo": "vinodshetty94/web_forecast",
"path": "/weather_reporter/cli.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vinodshetty94/web_forecast path: /weather_reporter/cli.py
import argparse
from .utils import *
from datetime import datetime
def main():
# create argument parser object
parser = argparse.ArgumentParser(description = "Weather Reporter")
<|fim_suffix|> parser.add_argument("-t", "--type"... | code_fim | hard | {
"lang": "python",
"repo": "vinodshetty94/web_forecast",
"path": "/weather_reporter/cli.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: laobadao/TF_VS_Caffe path: /np_processor/processor/np_utils/post_processing_builder.py
"""Builder function for post processing operations."""
import functools
import numpy as np
from ..np_utils import post_processing, ops
from platformx.plat_tensorflow.tools.processor import model_config
import c... | code_fim | hard | {
"lang": "python",
"repo": "laobadao/TF_VS_Caffe",
"path": "/np_processor/processor/np_utils/post_processing_builder.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return score_converter_fn
def _build_score_converter(score_converter, logit_scale):
"""Builds score converter based on the config.
Builds one of [tf.identity, tf.sigmoid, tf.softmax] score converters based on
the config.
Args:
score_converter_config: post_processing_pb2.PostP... | code_fim | hard | {
"lang": "python",
"repo": "laobadao/TF_VS_Caffe",
"path": "/np_processor/processor/np_utils/post_processing_builder.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: City-of-Helsinki/tunnistamo path: /tunnistamo/endpoints.py
from django.conf import settings
from django.utils.module_loading import import_string
from jwkest.jwt import JWT
from oidc_provider.lib.endpoints.authorize import AuthorizeEndpoint
from oidc_provider.lib.endpoints.introspection import To... | code_fim | hard | {
"lang": "python",
"repo": "City-of-Helsinki/tunnistamo",
"path": "/tunnistamo/endpoints.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def create_token(self, user, client, scope):
token = super().create_token(user, client, scope)
tunnistamo_session = self._get_tunnistamo_session()
if tunnistamo_session:
token.save()
tunnistamo_session.add_element(token)
_create_userloginentry_... | code_fim | hard | {
"lang": "python",
"repo": "City-of-Helsinki/tunnistamo",
"path": "/tunnistamo/endpoints.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def request(self, url): ##这个函数获取网页的response 然后返回
headers = {
'User-Agent': "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/22.0.1207.1 Safari/537.1"}
# content.encoding需要和BeautifulSoup的'utf-8'一致，否则乱码
content = requests.get(url, hea... | code_fim | hard | {
"lang": "python",
"repo": "hnlaomie/python-tools",
"path": "/util/spider/get_ml_links.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hnlaomie/python-tools path: /util/spider/get_ml_links.py
from bs4 import BeautifulSoup
import os, requests
class MLWeb():
def print_links(self, url: str) :
html = self.request(url)
item_list = BeautifulSoup(html.text, 'lxml').find_all('a')
for item in item_list:
... | code_fim | hard | {
"lang": "python",
"repo": "hnlaomie/python-tools",
"path": "/util/spider/get_ml_links.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def upgrade():
op.get_bind().execute("""
create view cases_current
(datenbestand, idbundesland, bundesland, landkreis, objectid, meldedatum, gender, agegroup, casetype, id,
idlandkreis) as
SELECT cases.datenbestand,
cases.idbundesland,
cases.bundesland,
... | code_fim | medium | {
"lang": "python",
"repo": "pmaisel/coronavis",
"path": "/Backend/migrations/alembic/versions/b84312f6532e_create_cases_current_view.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pmaisel/coronavis path: /Backend/migrations/alembic/versions/b84312f6532e_create_cases_current_view.py
"""create cases_current view
Revision ID: b84312f6532e
Revises: 00a7bf4dae6c
Create Date: 2020-11-26 14:43:32.346113
"""
from alembic import op
import sqlalchemy as sa
<|fim_suffix|> op.ge... | code_fim | medium | {
"lang": "python",
"repo": "pmaisel/coronavis",
"path": "/Backend/migrations/alembic/versions/b84312f6532e_create_cases_current_view.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, fpath, dup):
""" Receives path to keywords file and DUP flag.
"""
self.DUP = dup
if not os.path.exists(fpath):
raise FileNotFoundError(ENOENT, os.strerror(ENOENT), fpath)
self.fpath = fpath<|fim_prefix|># repo: myegorov/schmerlin ... | code_fim | easy | {
"lang": "python",
"repo": "myegorov/schmerlin",
"path": "/autoload/parsers/parser.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: myegorov/schmerlin path: /autoload/parsers/parser.py
import os
from errno import ENOENT
class Parser:
<|fim_suffix|> """ Receives path to keywords file and DUP flag.
"""
self.DUP = dup
if not os.path.exists(fpath):
raise FileNotFoundError(ENOENT, os.str... | code_fim | easy | {
"lang": "python",
"repo": "myegorov/schmerlin",
"path": "/autoload/parsers/parser.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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