text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> with self.driver.session("smoke/test_guid") as session:
answer = session.execute_fetch("guid (%(rnd_name.0)s)")
self.assertEqual(["fail", 404], answer[0][0:2])
def test_guid_with_recently_created_guid(self):
with self.driver.session("smoke/test_guid") as sessio... | code_fim | medium | {
"lang": "python",
"repo": "locaweb/leela",
"path": "/try/src/try_leela/suites/smoke/test_guid.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def setUp(self):
self.driver = env.driver()
def test_guid_without_know_name_must_produce_404(self):
with self.driver.session("smoke/test_guid") as session:
answer = session.execute_fetch("guid (%(rnd_name.0)s)")
self.assertEqual(["fail", 404], answer[0][0:... | code_fim | medium | {
"lang": "python",
"repo": "locaweb/leela",
"path": "/try/src/try_leela/suites/smoke/test_guid.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: locaweb/leela path: /try/src/try_leela/suites/smoke/test_guid.py
# -*- coding: utf-8 -*-
import uuid
import unittest
from try_leela import env
from try_leela import helpers
class TestGUID(unittest.TestCase):
<|fim_suffix|> def test_guid_with_recently_created_guid(self):
with self.dr... | code_fim | hard | {
"lang": "python",
"repo": "locaweb/leela",
"path": "/try/src/try_leela/suites/smoke/test_guid.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jdix531/stelligent-nu path: /04-vpcs/lab-4.1.8/cfn_generator.py
import os
# prevents bools showing up as strings
os.environ['TROPO_REAL_BOOL']='true'
from troposphere import Export, GetAtt, Ref, Template, Tags, Sub, Select, GetAZs, Parameter, Output, ImportValue
import troposphere.ec2 as ec2
re... | code_fim | hard | {
"lang": "python",
"repo": "jdix531/stelligent-nu",
"path": "/04-vpcs/lab-4.1.8/cfn_generator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> nat_gateway = template.add_resource(
ec2.NatGateway(
"MyNatGateway",
AllocationId=GetAtt(ngw_elastic_ip, "AllocationId"),
SubnetId=Ref(subnet),
)
)
private_out_route=template.add_resource(
ec2.Route(
"privateOutRoute",
... | code_fim | hard | {
"lang": "python",
"repo": "jdix531/stelligent-nu",
"path": "/04-vpcs/lab-4.1.8/cfn_generator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Return True if the device is part of the given subsystem parent."""
udev_device: pyudev.Device = pyudev.Devices.from_sys_path(
self._udev, str(device.sysfs)
)
return udev_device.find_parent(subsystem.value) is not None
def _import_devices(self) -> None:
... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/supervisor",
"path": "/supervisor/hardware/manager.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: home-assistant/supervisor path: /supervisor/hardware/manager.py
"""Hardware Manager of Supervisor."""
import logging
from pathlib import Path
import pyudev
from ..coresys import CoreSys, CoreSysAttributes
from ..exceptions import HardwareNotFound
from .const import UdevSubsystem
from .data impo... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/supervisor",
"path": "/supervisor/hardware/manager.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> @property
def devices(self) -> list[Device]:
"""Return List of devices."""
return list(self._devices.values())
def get_by_path(self, device_node: Path) -> Device:
"""Get Device by path."""
for device in self.devices:
if device_node in (device.path, ... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/supervisor",
"path": "/supervisor/hardware/manager.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def update(self, state, action, next_state, reward):
# print("reward %d" % reward)
features = self.get_features(state, action)
# for feature, value in features.items():
# print(feature + " " + str(self.weights[feature]))
# print(value)
# print("=... | code_fim | hard | {
"lang": "python",
"repo": "Candlend/TetrisAI",
"path": "/ai.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Candlend/TetrisAI path: /ai.py
import random
import util
import pygame
import copy
import numpy as np
import helper
import math
tetrominoes = ['s', 'z', 'j', 'l', 't', 'o', 'i', 'garbage', 'black']
test_flag = False # test or train
L4_flag = True
class Action:
def __init__(self, tet):
... | code_fim | hard | {
"lang": "python",
"repo": "Candlend/TetrisAI",
"path": "/ai.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>IB", "ponIfIndex"))
if mibBuilder.loadTexts: nmsIfAppPolicyEntry.setStatus('mandatory')
nmsIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 11606, 10, 9, 65, 1, 1, 1), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: nmsIfIndex.setStatus('mandatory')
nmsIfDescr = MibTableColumn((1, 3, 6, 1, 4, 1,... | code_fim | hard | {
"lang": "python",
"repo": "agustinhenze/mibs.snmplabs.com",
"path": "/pysnmp/NMS-IF-APP-POLICY-MIB.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: agustinhenze/mibs.snmplabs.com path: /pysnmp/NMS-IF-APP-POLICY-MIB.py
#
# PySNMP MIB module NMS-IF-APP-POLICY-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/NMS-IF-APP-POLICY-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 20:12:24 2019
# On host DAVW... | code_fim | hard | {
"lang": "python",
"repo": "agustinhenze/mibs.snmplabs.com",
"path": "/pysnmp/NMS-IF-APP-POLICY-MIB.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NKPmedia/delira path: /delira/training/experiment.py
ents.
Implements:
* Setup-Behavior for Models, Trainers and Predictors (depending on train
and test case)
* The K-Fold logic (including stratified and random splitting)
* Argument Handling
"""
def __init__(... | code_fim | hard | {
"lang": "python",
"repo": "NKPmedia/delira",
"path": "/delira/training/experiment.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NKPmedia/delira path: /delira/training/experiment.py
s given kwargs with ``self.kwargs``
If same argument is present in both kwargs, the one from the given
kwargs will be used here
Parameters
----------
kwargs : dict
the given kwargs to merge w... | code_fim | hard | {
"lang": "python",
"repo": "NKPmedia/delira",
"path": "/delira/training/experiment.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> * :meth:`BaseExperiment.test` for the testing
Notes
-----
using stratified splits may be slow during split-calculation, since
each item must be loaded once to obtain the labels necessary for
stratification.
"""
... | code_fim | hard | {
"lang": "python",
"repo": "NKPmedia/delira",
"path": "/delira/training/experiment.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: perrying/spinningup_in_pytorch path: /algos/ppo/core.py
import torch
import torch.nn as nn
import torch.nn.functional as F
import scipy.signal
def discount_cumsum(x, discount):
"""
magic from rllab for computing discounted cumulative sums of vectors.
input:
vector x,
... | code_fim | hard | {
"lang": "python",
"repo": "perrying/spinningup_in_pytorch",
"path": "/algos/ppo/core.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def sampling_action(self, obs, with_likelihood=True):
logits = self.policy(obs)
action = torch.multinomial(logits.softmax(1), 1)
if with_likelihood:
logp_all = F.log_softmax(logits, 1)
logp = (onehot(action[0], logp_all.shape[1]) * logp_all[0]).sum()
... | code_fim | hard | {
"lang": "python",
"repo": "perrying/spinningup_in_pytorch",
"path": "/algos/ppo/core.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bruno-gelb/coop_station path: /src/config.py
import yaml
class _Config(object):
<|fim_suffix|> with open(r'config.yml') as file:
config = yaml.load(file, Loader=yaml.FullLoader)
self.games = config['games']
config = _Config()<|fim_middle|> def __init__(self):... | code_fim | easy | {
"lang": "python",
"repo": "bruno-gelb/coop_station",
"path": "/src/config.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with open(r'config.yml') as file:
config = yaml.load(file, Loader=yaml.FullLoader)
self.games = config['games']
config = _Config()<|fim_prefix|># repo: bruno-gelb/coop_station path: /src/config.py
import yaml
class _Config(object):
<|fim_middle|> def __init__(self):... | code_fim | easy | {
"lang": "python",
"repo": "bruno-gelb/coop_station",
"path": "/src/config.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Loads the train test split indicators for a training run.
"""
with open(path) as f:
train_test_split = json.load(f)
return train_test_split<|fim_prefix|># repo: bombrake/neural_rock_typing path: /neural_rock/utils.py
import json
MEAN_TRAIN = [0.485, 0.456, 0.406]
STD_TRA... | code_fim | medium | {
"lang": "python",
"repo": "bombrake/neural_rock_typing",
"path": "/neural_rock/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bombrake/neural_rock_typing path: /neural_rock/utils.py
import json
MEAN_TRAIN = [0.485, 0.456, 0.406]
STD_TRAIN = [0.229, 0.224, 0.225]
<|fim_suffix|> """
Loads the train test split indicators for a training run.
"""
with open(path) as f:
train_test_split = json.load(f... | code_fim | medium | {
"lang": "python",
"repo": "bombrake/neural_rock_typing",
"path": "/neural_rock/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KellenNjoroge/keller-awards path: /awards/serializer.py
from rest_framework import serializers
from .models import *
<|fim_suffix|> model = Profile
exclude = []
class UserSerializer(serializers.ModelSerializer):
class Meta:
model = User
fields = ['username', ... | code_fim | medium | {
"lang": "python",
"repo": "KellenNjoroge/keller-awards",
"path": "/awards/serializer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class UserSerializer(serializers.ModelSerializer):
class Meta:
model = User
fields = ['username', 'email', ]
class ProjectSerializer(serializers.ModelSerializer):
class Meta:
model = Project
# exclude = ['image1','image2','image3','profile',]
fields = ['pr... | code_fim | medium | {
"lang": "python",
"repo": "KellenNjoroge/keller-awards",
"path": "/awards/serializer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> data: List[BarData] = []
if df is not None:
for ix, row in df.iterrows():
date = datetime.strptime(row.trade_date, '%Y%m%d')
date = CHINA_TZ.localize(date)
if pd.isnull(row['open']):
log.info(symbol + '.' + E... | code_fim | hard | {
"lang": "python",
"repo": "hybliu/quant_share",
"path": "/AShareDailyDataManager/TuShare.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> cnt += 1
start = (simulate_end_date + timedelta(days=1)).strftime(TS_DATE_FORMATE)
data: List[BarData] = []
if df is not None:
for ix, row in df.iterrows():
date = datetime.strptime(row.trade_date, '%Y%m%d')
date = CHINA... | code_fim | hard | {
"lang": "python",
"repo": "hybliu/quant_share",
"path": "/AShareDailyDataManager/TuShare.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hybliu/quant_share path: /AShareDailyDataManager/TuShare.py
import requests
import tushare as ts
from tushare.pro import client
from pytz import timezone
from typing import List, Optional, Dict
import pandas as pd
from datetime import datetime, timedelta
import time
import traceback
from vnpy.tr... | code_fim | hard | {
"lang": "python",
"repo": "hybliu/quant_share",
"path": "/AShareDailyDataManager/TuShare.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>efault_runtime.py'
]
work_dir = './work_dirs/plant_mrcnn'<|fim_prefix|># repo: jireh-father/mmdetection_210507 path: /configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco_custom.py
_base_ = [
'../_base_/models/mask_rcnn_r50_fpn_custo<|fim_middle|>m.py',
'../_base_/datasets/coco_detection_custom.py',
'... | code_fim | medium | {
"lang": "python",
"repo": "jireh-father/mmdetection_210507",
"path": "/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco_custom.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jireh-father/mmdetection_210507 path: /configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco_custom.py
_base_ = [
'../_base_/models/mask_rcnn_r50_fpn_custom.py',
'../_base_/datasets/coco_detection_custom.py'<|fim_suffix|>efault_runtime.py'
]
work_dir = './work_dirs/plant_mrcnn'<|fim_middle|>,
'... | code_fim | easy | {
"lang": "python",
"repo": "jireh-father/mmdetection_210507",
"path": "/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco_custom.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.api_token = api_token
def get_entries(self, start_date: datetime,
end_date: datetime = datetime.now()):
start_date_str = start_date.strftime(TOGGL_TIME_FORMAT)
end_date_str = end_date.strftime(TOGGL_TIME_FORMAT)
response = requests.get(TOGGL_... | code_fim | hard | {
"lang": "python",
"repo": "oshev/focus-balancer",
"path": "/focus_balancer/toggl.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: oshev/focus-balancer path: /focus_balancer/toggl.py
import json
from datetime import datetime
import requests
TOGGL_URL_TEMPLATE = "https://www.toggl.com/api/v8/time_entries?start_date={}&end_date={}"
TOGGL_TIME_FORMAT = "%Y-%m-%dT%H:%M:00Z"
TOGGL_ENTRY_TIME_FORMAT = "%Y-%m-%dT%H:%M:%S+00:00" ... | code_fim | hard | {
"lang": "python",
"repo": "oshev/focus-balancer",
"path": "/focus_balancer/toggl.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> start_date_str = start_date.strftime(TOGGL_TIME_FORMAT)
end_date_str = end_date.strftime(TOGGL_TIME_FORMAT)
response = requests.get(TOGGL_URL_TEMPLATE.format(start_date_str, end_date_str),
auth=(self.api_token, 'api_token'))
if response.sta... | code_fim | hard | {
"lang": "python",
"repo": "oshev/focus-balancer",
"path": "/focus_balancer/toggl.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #print(existing_reverse)
#print(needed_reverse)
#print(module_signatures)
split_name = file_name.split(".")
new_file_name = ".".join(split_name[:-3] + [split_name[-2]+"_reverse_insert"] + split_name[-1:])
new_file_obj = open(new_file_name, "w+")
for module in needed_reverse:
new_name = s... | code_fim | hard | {
"lang": "python",
"repo": "AndrewLitteken/ScaffCC",
"path": "/scaffold/insert_reverse.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AndrewLitteken/ScaffCC path: /scaffold/insert_reverse.py
import sys
import re
import mmap
if __name__ == "__main__":
if len(sys.argv) < 2:
print("Must provide a filename as an argument")
exit(1)
file_name = sys.argv[1]
<|fim_suffix|> #print(existing_reverse)
#print(needed_reverse... | code_fim | hard | {
"lang": "python",
"repo": "AndrewLitteken/ScaffCC",
"path": "/scaffold/insert_reverse.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: XKNX/xknx path: /xknx/remote_value/remote_value_climate_mode.py
"""
Module for managing an climate mode remote values.
DPT .
"""
from __future__ import annotations
from abc import abstractmethod
from enum import Enum
from typing import TYPE_CHECKING, Any, Optional
from xknx.dpt import (
DP... | code_fim | hard | {
"lang": "python",
"repo": "XKNX/xknx",
"path": "/xknx/remote_value/remote_value_climate_mode.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Convert value to payload."""
return self._climate_mode_transcoder.to_knx(value)
def from_knx(self, payload: DPTArray | DPTBinary) -> HVACOperationMode | None:
"""Convert current payload to value."""
return self._climate_mode_transcoder.from_knx(payload)
class Remo... | code_fim | hard | {
"lang": "python",
"repo": "XKNX/xknx",
"path": "/xknx/remote_value/remote_value_climate_mode.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == '__main__':
# 公告按照时间段分类，有些为隐藏公告
urlbase = "http://www.zjtobacco.com/np_file/files/release/content/"
'''urllist:用于存放构造的所有需要测试的链接
monthlist:用于存放构造链接时使用的时间
rangelist:用于存放构造链接时每个时间内的文章上下限'''
urllist = []
monthlist = [201904, 201905]
rangelist = [107101, 107681, ... | code_fim | hard | {
"lang": "python",
"repo": "jklf5/Spider",
"path": "/getzjtobaccoSpecifiedNews/test(多线程测试).py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # str1 = "http://www.zjtobacco.com/np_file/files/release/content/202003/113228.html"
# print(str1[-18:-12])
# p = Pool(4)
for month_list in urllist:
# func_var = [(month_list, None)]
# f_error = open('./error_test.txt', 'a+', encoding='utf-8')
# print(argslist)
... | code_fim | hard | {
"lang": "python",
"repo": "jklf5/Spider",
"path": "/getzjtobaccoSpecifiedNews/test(多线程测试).py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jklf5/Spider path: /getzjtobaccoSpecifiedNews/test(多线程测试).py
import requests
from pyquery import PyQuery as pq
import threading
import threadpool
from multiprocessing import Pool
from multiprocessing import Process
def get_proxies():
'''代理服务器，动态版'''
proxyHost = "http-dyn.abuyun.com"
... | code_fim | hard | {
"lang": "python",
"repo": "jklf5/Spider",
"path": "/getzjtobaccoSpecifiedNews/test(多线程测试).py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
c1 = 0
c2 = 0
for line in open(sys.argv[1]).readlines():
if nice1(line):
c1 += 1
if nice2(line):
c2 += 1
print(c1)
print(c2)<|fim_prefix|># repo: rboulton/adventofcode path: /2015/day5.py
import sys
import re
def nice1(s):
if not re.search(r'[aeiou].*[aeiou].*[aeiou]', s):
... | code_fim | medium | {
"lang": "python",
"repo": "rboulton/adventofcode",
"path": "/2015/day5.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rboulton/adventofcode path: /2015/day5.py
import sys
import re
def nice1(s):
if not re.search(r'[aeiou].*[aeiou].*[aeiou]', s):
return False
if not re.search(r'([a-z])\1', s):
return False
if re.search(r'ab|cd|pq|xy', s):
return False
return True
def nice... | code_fim | medium | {
"lang": "python",
"repo": "rboulton/adventofcode",
"path": "/2015/day5.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zabir-nabil/fast-wavenet-mel2wav path: /wavenet/layers.py
import numpy as np
import tensorflow as tf
def time_to_batch(inputs, rate):
'''If necessary zero-pads inputs and reshape by rate.
Used to perform 1D dilated convolution.
Args:
inputs: (tensor)
rate: (in... | code_fim | hard | {
"lang": "python",
"repo": "zabir-nabil/fast-wavenet-mel2wav",
"path": "/wavenet/layers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def conv1d(inputs,
out_channels,
filter_width=2,
stride=1,
padding='VALID',
data_format='NHWC',
gain=np.sqrt(2),
activation=tf.nn.relu,
bias=False):
'''One dimension convolution helper function.
Sets varia... | code_fim | hard | {
"lang": "python",
"repo": "zabir-nabil/fast-wavenet-mel2wav",
"path": "/wavenet/layers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hanifgunawan/pyproc path: /tests/test_lpse.py
import unittest
import re
import csv
import os
import pyproc.utils
from pyproc import Lpse
from pyproc.exceptions import LpseHostExceptions, LpseServerExceptions
class TestLpse(unittest.TestCase):
def setUp(self):
self.lpse = Lpse('lpse... | code_fim | hard | {
"lang": "python",
"repo": "hanifgunawan/pyproc",
"path": "/tests/test_lpse.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_get_paket_non_tender(self):
paket = self.lpse.get_paket_non_tender(length=5)
self.assertEqual(len(paket['data']), 5)
def test_get_detil_pengumuman_non_tender(self):
detil = self.lpse.detil_paket_non_tender(self.id_non_tender_for_testing)
detil.get_pengumu... | code_fim | hard | {
"lang": "python",
"repo": "hanifgunawan/pyproc",
"path": "/tests/test_lpse.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_hasil_evaluasi_npwp_nama_split(self):
with open(
os.path.join(
os.path.dirname(os.path.realpath(__file__)),
'supporting_files',
'hasil_evaluasi_nama_npwp_test.txt'
)
) as f:
f.readline()
... | code_fim | hard | {
"lang": "python",
"repo": "hanifgunawan/pyproc",
"path": "/tests/test_lpse.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#this loops through each legislator one by one, scraping her data and importing it to her tab of the google sheet
for sheet in allsheets:
#get the name of the tab, assign that as the legislator's name
legislator = sheetnames[x]
chamber = sheet.get_value('E2')
if sheet.get_value('E2'):
scrape_i... | code_fim | hard | {
"lang": "python",
"repo": "cdkirsch/Emerge-Alumnae-Scrapers",
"path": "/arizona-scraper.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cdkirsch/Emerge-Alumnae-Scrapers path: /arizona-scraper.py
#this code scrapes bill data for Arizona alumnae using Python, Selenium, and BeautifulSoup
#then imports it to Google Sheets using Pygsheets
#last updated 07/30/2019 by Camille Kirsch, communications intern
from selenium import webdr... | code_fim | hard | {
"lang": "python",
"repo": "cdkirsch/Emerge-Alumnae-Scrapers",
"path": "/arizona-scraper.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #update the Google sheet with df, starting at first row of latest session (existing session)
#or at the first empty cell (new session).
row = next_available_row(sheet)
allsessions = sheet.get_values('A1','A'+str(row), returnas='cell', include_tailing_empty_rows = False)
latestsession = allsessio... | code_fim | hard | {
"lang": "python",
"repo": "cdkirsch/Emerge-Alumnae-Scrapers",
"path": "/arizona-scraper.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> pulumi.set(self, "module_name", value)
class EndpointAclPolicy(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
description: Optional[pulumi.Input[str]] = None,
... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi-alicloud",
"path": "/sdk/python/pulumi_alicloud/cr/endpoint_acl_policy.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pulumi/pulumi-alicloud path: /sdk/python/pulumi_alicloud/cr/endpoint_acl_policy.py
__self__, *,
endpoint_type: pulumi.Input[str],
entry: pulumi.Input[str],
instance_id: pulumi.Input[str],
description: Optional[pulumi.Input[str]] ... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi-alicloud",
"path": "/sdk/python/pulumi_alicloud/cr/endpoint_acl_policy.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pulumi/pulumi-alicloud path: /sdk/python/pulumi_alicloud/cr/endpoint_acl_policy.py
['EndpointAclPolicyArgs', 'EndpointAclPolicy']
@pulumi.input_type
class EndpointAclPolicyArgs:
def __init__(__self__, *,
endpoint_type: pulumi.Input[str],
entry: pulumi.Input[... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi-alicloud",
"path": "/sdk/python/pulumi_alicloud/cr/endpoint_acl_policy.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Faisalsouz/PAN_OCR path: /Test_perd/model_run.py
from wand.image import Image as wi
import os
from pprint import pprint
from typing import Tuple,List,Type,TypeVar
from Test_perd.recog_main import *
import psycopg2
from Test_perd.config import *
import pandas as pd
from postal.parser import parse... | code_fim | hard | {
"lang": "python",
"repo": "Faisalsouz/PAN_OCR",
"path": "/Test_perd/model_run.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
os.rename('./predictions.jpg', './predictions' + str(index) + '.jpg')
supper_dict.append(m1)
# supper_dict['pageNo'].append(index)
# for k,v in dict.items():
# supper_dict[k].append(v)
# print('combining page data into json')
#json_dic=json.dump... | code_fim | hard | {
"lang": "python",
"repo": "Faisalsouz/PAN_OCR",
"path": "/Test_perd/model_run.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ```sh
$ pulumi import alicloud:ga/customRoutingEndpointTrafficPolicy:CustomRoutingEndpointTrafficPolicy example <endpoint_id>:<custom_routing_endpoint_traffic_policy_id>
```
:param str resource_name: The name of the resource.
:param CustomRoutingEndpointTrafficPol... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi-alicloud",
"path": "/sdk/python/pulumi_alicloud/ga/custom_routing_endpoint_traffic_policy.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> resource_name: str,
args: CustomRoutingEndpointTrafficPolicyArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Provides a Global Accelerator (GA) Custom Routing Endpoint Traffic Policy resource.
For information about Global... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi-alicloud",
"path": "/sdk/python/pulumi_alicloud/ga/custom_routing_endpoint_traffic_policy.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pulumi/pulumi-alicloud path: /sdk/python/pulumi_alicloud/ga/custom_routing_endpoint_traffic_policy.py
y.
"""
if accelerator_id is not None:
pulumi.set(__self__, "accelerator_id", accelerator_id)
if address is not None:
pulumi.set(__self__, "address"... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi-alicloud",
"path": "/sdk/python/pulumi_alicloud/ga/custom_routing_endpoint_traffic_policy.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: junjun-zhang/workflow-execution-service-schemas path: /python/ga4gh/wes/controllers.py
"""
Controllers for the workflow execution service
"""
DEFAULT_PAGE_SIZE = 100
<|fim_suffix|>
def GetWorkflowStatus(**kwargs):
return {}<|fim_middle|>
def GetWorkflowLog(**kwargs):
return {}
def Can... | code_fim | hard | {
"lang": "python",
"repo": "junjun-zhang/workflow-execution-service-schemas",
"path": "/python/ga4gh/wes/controllers.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def RunWorkflow(**kwargs):
return {}
def GetWorkflowStatus(**kwargs):
return {}<|fim_prefix|># repo: junjun-zhang/workflow-execution-service-schemas path: /python/ga4gh/wes/controllers.py
"""
Controllers for the workflow execution service
"""
DEFAULT_PAGE_SIZE = 100
def GetWorkflowLog(**kwa... | code_fim | medium | {
"lang": "python",
"repo": "junjun-zhang/workflow-execution-service-schemas",
"path": "/python/ga4gh/wes/controllers.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>v("RDS_HOSTNAME")
+ ":"
+ os.getenv("RDS_PORT")
+ "/"
+ os.getenv("RDS_DB_NAME")
)
DATABASE_URL = rds_db_string
else:
DATABASE_URL = os.getenv("DATABASE_URL")<|fim_prefix|># repo: SeaWar741/ITC path: /MLH/CursoAWS/config.py
import os
from dotenv import... | code_fim | hard | {
"lang": "python",
"repo": "SeaWar741/ITC",
"path": "/MLH/CursoAWS/config.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SeaWar741/ITC path: /MLH/CursoAWS/config.py
import os
from dotenv import load_dotenv
load_dotenv()
FLASK_APP_SECRET_KEY = os.getenv("FLASK_APP_SECRET_KEY")
EVENTBRITE_AUTH_TOKEN = os.getenv("EVENTBRITE_AUTH_TOKEN")
# Reads the database config injected by AWS Elastic Beanstalk
if "RDS_... | code_fim | hard | {
"lang": "python",
"repo": "SeaWar741/ITC",
"path": "/MLH/CursoAWS/config.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jiaming-wang/N_SR path: /data/data.py
#!/usr/bin/env python
# coding=utf-8
'''
@Author: wjm
@Date: 2020-02-16 19:22:41
LastEditTime: 2021-11-29 11:13:35
@Description: file content
'''
from os.path import join
from torchvision.transforms import Compose, ToTensor
from .dataset import Data, Data_tes... | code_fim | hard | {
"lang": "python",
"repo": "jiaming-wang/N_SR",
"path": "/data/data.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> super(DatasetFromHdf5, self).__init__()
hf = h5py.File(file_path)
self.data = numpy.array(hf.get('data'))
self.target = numpy.array(hf.get('label'))
# self.data = numpy.transpose(self.data, (0, 3, 1, 2))
# self.target = numpy.transpose(self.target, (0, 3, 1,... | code_fim | medium | {
"lang": "python",
"repo": "jiaming-wang/N_SR",
"path": "/data/data.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if stream == False:
sys.stdout.write(lines)
sys.stdout.flush()
startdt = datetime.strptime(start[0:10], '%Y-%m-%d')
stopdt = datetime.strptime(stop[0:10], '%Y-%m-%d')
date = startdt
while date <= stopdt:
file_date = date.strftime('%Y-%m-%d')
file_url = ROOT + f'log/{args["dataset"]}/log/{fi... | code_fim | hard | {
"lang": "python",
"repo": "hapi-server/server-nodejs",
"path": "/bin/URLWatcher.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hapi-server/server-nodejs path: /bin/URLWatcher.py
import re
import os
import sys
import urllib3
import argparse
from datetime import datetime, timedelta
http = urllib3.PoolManager()
# If stream = True, each line is written as processed.
# If False, lines from each file are accumulated then
# w... | code_fim | hard | {
"lang": "python",
"repo": "hapi-server/server-nodejs",
"path": "/bin/URLWatcher.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: iridium-soda/Searchable-Encryption-Demos path: /Source/Server.py
'''
Author: I-Hsien
Date: 2021-01-27 21:55:57
LastEditTime: 2021-05-09 12:23:12
LastEditors: I-Hsien
Description: Another Isolated Program, act as server.
FilePath: \Searchable-Encryption-Demos\SWP Solution\Server.py
Comments: Also ... | code_fim | hard | {
"lang": "python",
"repo": "iridium-soda/Searchable-Encryption-Demos",
"path": "/Source/Server.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
description: 服务器端的事务分发接口
param {Sock,data:dict}
return {*}
data:
{
"type":"upload/query/test",
"filename":"filename",
"content":"....",//用空格分词
"query":".....",//(x,k)
"test":1+2//使用eval()检验
}
'''
log.log.debug("Received reques... | code_fim | hard | {
"lang": "python",
"repo": "iridium-soda/Searchable-Encryption-Demos",
"path": "/Source/Server.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@staticmethod
def __formatRegisterFormat( arg1, arg2 ) :
if isinstance( arg1, GafferImage.Format ) :
# Old ordering of arguments.
format = arg1
name = arg2
else :
name = arg1
format = arg2
return GafferImage.Format.__originalRegisterFormat( name, __convertFormat( format ) )
def __scriptNod... | code_fim | hard | {
"lang": "python",
"repo": "mcanthony/gaffer",
"path": "/startup/GafferImage/formatCompatibility.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mcanthony/gaffer path: /startup/GafferImage/formatCompatibility.py
##########################################################################
#
# Copyright (c) 2015, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modificat... | code_fim | hard | {
"lang": "python",
"repo": "mcanthony/gaffer",
"path": "/startup/GafferImage/formatCompatibility.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param data_dir: Location of the CORD pre-processed data
:return: True
"""
print("Hello world, goodbye COVID")
print("Input data_dir: {}".format(data_dir))
return True<|fim_prefix|># repo: itsmemala/task-vt path: /utils/data_utils.py
# import os
def load_preprocessed_cord_from_dir(data_dir):
<|f... | code_fim | medium | {
"lang": "python",
"repo": "itsmemala/task-vt",
"path": "/utils/data_utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: itsmemala/task-vt path: /utils/data_utils.py
# import os
def load_preprocessed_cord_from_dir(data_dir):
"""
This function currently isn't useful and serves as a template. Eventually this function will load CORD data from
the data_dir. This serves as an example of good docstrings.
<|fim_suff... | code_fim | medium | {
"lang": "python",
"repo": "itsmemala/task-vt",
"path": "/utils/data_utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not c_mgr:
# For now we treat a eval timeout the same way as e.g. NaN exceptions.
fitness_values = (-float("inf"), start_datetime, timeout, pipeline_length)
logger.info('Timeout encountered while evaluating pipeline.')
single_line_pipeline = ''.join(str(pl).split('\... | code_fim | hard | {
"lang": "python",
"repo": "joaquinvanschoren/gama",
"path": "/gama/ea/evaluation.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def object_is_valid_pipeline(o):
""" Determines if object behaves like a valid scikit-learn pipeline (it must have `fit`, `predict` and `steps`). """
return (o is not None and
hasattr(o, 'fit') and
hasattr(o, 'predict') and
hasattr(o, 'steps'))
def evaluate_pi... | code_fim | hard | {
"lang": "python",
"repo": "joaquinvanschoren/gama",
"path": "/gama/ea/evaluation.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: joaquinvanschoren/gama path: /gama/ea/evaluation.py
from datetime import datetime
import os
import pickle
import time
import uuid
import stopit
from sklearn.model_selection import cross_val_predict
from gama.ea.automl_gp import log
from gama.ea.metrics import Metric
from gama.utilities.logging_... | code_fim | hard | {
"lang": "python",
"repo": "joaquinvanschoren/gama",
"path": "/gama/ea/evaluation.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: simon-zozol/Anti-Viral-Protocol path: /anti_viral_protocol/guns.py
import os
import pygame
from . import shells
from .items import Weapons
# Setting up the mixer for sounds
pygame.mixer.init()
# Working file paths
BASE_PATH = os.path.dirname(__file__)
RES_PATH = os.path.join(BASE_PATH, 'resourc... | code_fim | hard | {
"lang": "python",
"repo": "simon-zozol/Anti-Viral-Protocol",
"path": "/anti_viral_protocol/guns.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# rocket-Launcher
class RocketLauncher(Weapons):
ammo_limit = 50
ammo_count = 50
hold_limit = 5
on_load = 5
cooldown_max = 60
ammo = shells.RPGShells
explode_img = pygame.image.load(RES_PATH + "/Images/Projectiles/explosion.png")
explode_sound = pygame.mixer.Sound(RES_PATH... | code_fim | hard | {
"lang": "python",
"repo": "simon-zozol/Anti-Viral-Protocol",
"path": "/anti_viral_protocol/guns.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: smartheating/FieldGateway path: /tests/test_data/test_sensor_1.py
from module import Sensor
from statistics import mean
from random import random
<|fim_suffix|> self.param_1 = params['param_1']
self.param_2 = params['param_2']
def get_data(self) -> dict:
self.count +... | code_fim | medium | {
"lang": "python",
"repo": "smartheating/FieldGateway",
"path": "/tests/test_data/test_sensor_1.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.param_1 = params['param_1']
self.param_2 = params['param_2']
def get_data(self) -> dict:
self.count += 1
print('get data was called {} times'.format(self.count))
val1 = []
val2 = []
for _ in range(self.get_number_of_reads_per_send_interval(... | code_fim | medium | {
"lang": "python",
"repo": "smartheating/FieldGateway",
"path": "/tests/test_data/test_sensor_1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> elif direction == "D":
t.right(45)
t.color("dark blue")
t.width(3)
t.forward(17) #try changing this<|fim_prefix|># repo: KevinBoxuGao/ICS3UI path: /Unit 3/Lesson2-3/lesson 3/ring.py
import turtle
t = turtle.Pen()
t.speed(0)
t.width(4)
for y in ran... | code_fim | hard | {
"lang": "python",
"repo": "KevinBoxuGao/ICS3UI",
"path": "/Unit 3/Lesson2-3/lesson 3/ring.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KevinBoxuGao/ICS3UI path: /Unit 3/Lesson2-3/lesson 3/ring.py
import turtle
t = turtle.Pen()
t.speed(0)
t.width(4)
for y in range(100):
for direction in "LRDDRLDRLDRLDL": #try changing this
<|fim_suffix|> elif direction == "D":
t.right(45)
t.color("dar... | code_fim | hard | {
"lang": "python",
"repo": "KevinBoxuGao/ICS3UI",
"path": "/Unit 3/Lesson2-3/lesson 3/ring.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: darikg/robust-laplacians-py path: /src/robust_laplacian/core.py
import numpy as np
import robust_laplacian_bindings as rlb
def mesh_laplacian(verts, faces, mollify_factor=1e-5):
## Validate input
if type(verts) is not np.ndarray:
raise ValueError("`verts` should be a numpy arra... | code_fim | hard | {
"lang": "python",
"repo": "darikg/robust-laplacians-py",
"path": "/src/robust_laplacian/core.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ## Return the result
return L, M
def point_cloud_laplacian(points, mollify_factor=1e-5, n_neighbors=30):
## Validate input
if type(points) is not np.ndarray:
raise ValueError("`points` should be a numpy array")
if (len(points.shape) != 2) or (points.shape[1] != 3):
ra... | code_fim | medium | {
"lang": "python",
"repo": "darikg/robust-laplacians-py",
"path": "/src/robust_laplacian/core.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: violet-love/quake-ds path: /QuakeAPI/app.py
from flask import Flask, jsonify
from .USGSetl import *
def create_app():
app = Flask(__name__)
@app.route('/')
def home():
return jsonify({'status_code': 200,
'message': 'success, the flask API is running'... | code_fim | hard | {
"lang": "python",
"repo": "violet-love/quake-ds",
"path": "/QuakeAPI/app.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @app.route('/test')
def testRoute():
response = query_one('SELECT * FROM USGS where time=1582252014390')
return jsonify(response)
@app.route('/history/<lat>,<lon>,<dist>')
def history(lat, lon, dist):
# oof I just googled it and this is gonna be rough
pass
... | code_fim | hard | {
"lang": "python",
"repo": "violet-love/quake-ds",
"path": "/QuakeAPI/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> fast = signal['params']['fastperiod']
slow = signal['params']['slowperiod']
mavg = signal['params']['signalperiod']
macd, macdsignal, _ = talib.MACD(prices['close'], fast, slow, mavg)
signal['data'] = np.hstack(
[macd.to_numpy()[:, None],
macdsignal.to_numpy()[:, Non... | code_fim | hard | {
"lang": "python",
"repo": "machar94/stockprediction",
"path": "/indicators.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: machar94/stockprediction path: /indicators.py
import os
import talib
import warnings
import pmdarima as pm
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from pmdarima import auto_arima
from functools import wraps
from os.path import isfile, join
from tqdm.notebook i... | code_fim | hard | {
"lang": "python",
"repo": "machar94/stockprediction",
"path": "/indicators.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@plotSignal
@useFile
def arima_sma(prices, signal, name):
"""
ARIMA on Simple Moving Average
"""
sma_window = signal['params']['sma_window']
sma_close = talib.SMA(prices['close'], sma_window).to_numpy()[:, None]
signal['data'] = arima(sma_close, signal['params']['arima_window'], ... | code_fim | hard | {
"lang": "python",
"repo": "machar94/stockprediction",
"path": "/indicators.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for ent in self.TimeSeries:
if ent['Time'] == ti:
return ent
return None
@property
def Observations(self):
dat = pd.DataFrame(self.TimeSeries)
dat = dat.set_index('Time')
dat = dat.fillna(0)
return dat
@property
... | code_fim | hard | {
"lang": "python",
"repo": "CxModelling/PyComplexism",
"path": "/complexism/mcore/observer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CxModelling/PyComplexism path: /complexism/mcore/observer.py
import pandas as pd
from abc import ABCMeta, abstractmethod
from collections import OrderedDict
__author__ = 'TimeWz667'
class Observer(metaclass=ABCMeta):
def __init__(self, ext=True):
self.Last = OrderedDict()
se... | code_fim | hard | {
"lang": "python",
"repo": "CxModelling/PyComplexism",
"path": "/complexism/mcore/observer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def observe_routinely(self, model, ti):
self.read_statics(model, self.Last, ti)
self.update_dynamic_observations(model, self.Flow, ti)
def update_at_mid_term(self, model, ti):
if self.ExtMid:
self.read_statics(model, self.Mid, ti)
def push_observations(sel... | code_fim | hard | {
"lang": "python",
"repo": "CxModelling/PyComplexism",
"path": "/complexism/mcore/observer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
user = mySession.query(User).filter_by(email=email).one()
return user.id
except:
return None<|fim_prefix|># repo: kingdivine/planet-food path: /catalog/helpers.py
from database_setup import Base, User
from sqlalchemy import create_engine
from sqlalchemy.orm import ses... | code_fim | medium | {
"lang": "python",
"repo": "kingdivine/planet-food",
"path": "/catalog/helpers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kingdivine/planet-food path: /catalog/helpers.py
from database_setup import Base, User
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
myEngine = create_engine('sqlite:///restaurant.db')
Base.metadata.bind = myEngine
<|fim_suffix|>
def getUserID(email):
try:
... | code_fim | hard | {
"lang": "python",
"repo": "kingdivine/planet-food",
"path": "/catalog/helpers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def getUserID(email):
try:
user = mySession.query(User).filter_by(email=email).one()
return user.id
except:
return None<|fim_prefix|># repo: kingdivine/planet-food path: /catalog/helpers.py
from database_setup import Base, User
from sqlalchemy import create_engine
from sq... | code_fim | medium | {
"lang": "python",
"repo": "kingdivine/planet-food",
"path": "/catalog/helpers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ertancan/django-coinbase path: /coinbase/urls.py
from django.conf.urls import url
from view<|fim_suffix|>ack, name="coinbase_order_callback")
]<|fim_middle|>s import handle_order_callback
urlpatterns = [
url(r"^cb/$", handle_order_callb | code_fim | medium | {
"lang": "python",
"repo": "ertancan/django-coinbase",
"path": "/coinbase/urls.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>ack, name="coinbase_order_callback")
]<|fim_prefix|># repo: ertancan/django-coinbase path: /coinbase/urls.py
from django.conf.urls import url
from views import handle_order_callback
urlpattern<|fim_middle|>s = [
url(r"^cb/$", handle_order_callb | code_fim | easy | {
"lang": "python",
"repo": "ertancan/django-coinbase",
"path": "/coinbase/urls.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>s = [
url(r"^cb/$", handle_order_callback, name="coinbase_order_callback")
]<|fim_prefix|># repo: ertancan/django-coinbase path: /coinbase/urls.py
from django.conf.urls import url
from view<|fim_middle|>s import handle_order_callback
urlpattern | code_fim | easy | {
"lang": "python",
"repo": "ertancan/django-coinbase",
"path": "/coinbase/urls.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nzlosh/st2-rbac-backend path: /tests/unit/controllers/api/v1/test_actions_rbac.py
# Copyright 2020 The StackStorm Authors.
# Copyright (C) 2020 Extreme Networks, Inc - All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in com... | code_fim | hard | {
"lang": "python",
"repo": "nzlosh/st2-rbac-backend",
"path": "/tests/unit/controllers/api/v1/test_actions_rbac.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Role assignments
user_db = self.users['action_create']
role_assignment_db = UserRoleAssignmentDB(
user=user_db.name,
role=self.roles['action_create'].name,
source='assignments/%s.yaml' % user_db.name)
UserRoleAssignment.add_or_update(ro... | code_fim | hard | {
"lang": "python",
"repo": "nzlosh/st2-rbac-backend",
"path": "/tests/unit/controllers/api/v1/test_actions_rbac.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # non-admin user, should return permission error
user_db = self.users['observer']
self.use_user(user_db)
resp = self.app.get('/v1/actions?limit=-1', expect_errors=True)
expected_msg = ('Administrator access required to be able to specify limit=-1 and '
... | code_fim | hard | {
"lang": "python",
"repo": "nzlosh/st2-rbac-backend",
"path": "/tests/unit/controllers/api/v1/test_actions_rbac.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>else:
with open(outpath, 'w') as f:
f.write('There was at least one failure.')
f.write('\n')
v.to_frame().to_csv(outpath)
if os.path.exists(outpath):
print('Written %s successfully.' % outpath)
sys.exit(0)
else:
print('Failed to write %s.' % outpath, file=sys.stder... | code_fim | medium | {
"lang": "python",
"repo": "c74p/Capstone-SalesForecasting",
"path": "/tests/constraints/verify_constraints.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: c74p/Capstone-SalesForecasting path: /tests/constraints/verify_constraints.py
import os
import pandas as pd
import sys
from tdda.constraints.pd.constraints import verify_df
inpath = '../data/processed/wrangled_dataframe.csv'
constraint_path = ''.join(['../data/interim/constraints_initial_csvs/'... | code_fim | hard | {
"lang": "python",
"repo": "c74p/Capstone-SalesForecasting",
"path": "/tests/constraints/verify_constraints.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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