text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: chrismaddalena/Ghostwriter path: /ghostwriter/shepherd/migrations/0005_auto_20191001_1352.py
# Generated by Django 2.2.3 on 2019-10-01 13:52
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
<|fim_suffix|> operations = [
... | code_fim | medium | {
"lang": "python",
"repo": "chrismaddalena/Ghostwriter",
"path": "/ghostwriter/shepherd/migrations/0005_auto_20191001_1352.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_get_ascents(self):
climbers = get_ascents('Midnight Lightning', 'bouldering')
expectedKeys = ['userAvatar', 'userName', 'userSlug', 'date', 'difficulty', 'isHard', 'isEasy', 'type', 'notes', 'rating', 'userPrivate', 'firstAscent', 'secondGo']
self.assertListEqual(list... | code_fim | easy | {
"lang": "python",
"repo": "bjariel/8a_scraper",
"path": "/test/test_ascents.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bjariel/8a_scraper path: /test/test_ascents.py
import unittest
from _8a_scraper.ascents import get_ascents
<|fim_suffix|> climbers = get_ascents('Midnight Lightning', 'bouldering')
expectedKeys = ['userAvatar', 'userName', 'userSlug', 'date', 'difficulty', 'isHard', 'isEasy', 'typ... | code_fim | medium | {
"lang": "python",
"repo": "bjariel/8a_scraper",
"path": "/test/test_ascents.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@traced(logging.getLogger("harry"))
def connect_to_database(database_connection):
"""Connect to the cube database."""
conn = psycopg2.connect(database_connection)
return conn, conn.cursor()
@traced(logging.getLogger("harry"))
def commit_and_close_database(conn, cur):
"""Finalize changes... | code_fim | hard | {
"lang": "python",
"repo": "HarryNash/rubiks-cube-for-discord",
"path": "/db.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HarryNash/rubiks-cube-for-discord path: /db.py
import psycopg2
from autologging import traced
import logging
@traced(logging.getLogger("harry"))
def create_cube_if_channel_has_none(channel_id, database_connection):
"""Creates a cube in the database if there isn't one already."""
conn, c... | code_fim | hard | {
"lang": "python",
"repo": "HarryNash/rubiks-cube-for-discord",
"path": "/db.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@traced(logging.getLogger("harry"))
def commit_and_close_database(conn, cur):
"""Finalize changes and close the connection to the cube database."""
conn.commit()
cur.close()
conn.close()<|fim_prefix|># repo: HarryNash/rubiks-cube-for-discord path: /db.py
import psycopg2
from autologging ... | code_fim | hard | {
"lang": "python",
"repo": "HarryNash/rubiks-cube-for-discord",
"path": "/db.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Desperatesonic/roosterize path: /roosterize/ml/MLModelBase.py
from typing import *
import abc
from pathlib import Path
import time
from seutil import LoggingUtils, IOUtils
from roosterize.data.ModelSpec import ModelSpec
TConfig = TypeVar("TConfig")
class MLModelBase(Generic[TConfig]):
... | code_fim | hard | {
"lang": "python",
"repo": "Desperatesonic/roosterize",
"path": "/roosterize/ml/MLModelBase.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param train_processed_data_dir: the directory containing the processed train data
:param val_processed_data_dir: the directory containing the processed val data
"""
pass
TRAINING_COMPLETED_FILE_NAME = "training-completed.txt"
def train(
self,
... | code_fim | hard | {
"lang": "python",
"repo": "Desperatesonic/roosterize",
"path": "/roosterize/ml/MLModelBase.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rubas-cientistadedados/Classifica-o-de-Linguagem-Natural-com-Redes-Neurais-Convolucionais path: /cnn.py
from sklearn import model_selection, preprocessing, metrics
import pandas, numpy, keras
from keras.preprocessing import text, sequence
from keras import layers, models, optimizers, initial... | code_fim | hard | {
"lang": "python",
"repo": "rubas-cientistadedados/Classifica-o-de-Linguagem-Natural-com-Redes-Neurais-Convolucionais",
"path": "/cnn.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def create_cnn():
# Adicione uma camada de entrada
input_layer = layers.Input((70, ))
# Adicione a camada de incorporação de palavras
embedding_layer = layers.Embedding(len(word_index) + 1, 300, weights=[embedding_matrix], trainable=False)(input_layer)
embedding_layer = layers... | code_fim | hard | {
"lang": "python",
"repo": "rubas-cientistadedados/Classifica-o-de-Linguagem-Natural-com-Redes-Neurais-Convolucionais",
"path": "/cnn.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: epfl-dcsl/ptf-persona path: /runtime/recording.py
# Copyright 2019 École Polytechnique Fédérale de Lausanne. All Rights Reserved.
#
# 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 L... | code_fim | hard | {
"lang": "python",
"repo": "epfl-dcsl/ptf-persona",
"path": "/runtime/recording.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> prior_counters = None
prior_time = None
while not stop_event.is_set():
current_time = time.time()
current_counters = psutil.net_io_counters(pernic=True)
if prior_counters is not None:
prior_nic = prior_counters[iface_name]
... | code_fim | hard | {
"lang": "python",
"repo": "epfl-dcsl/ptf-persona",
"path": "/runtime/recording.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if compressed is None:
compressed = filename.endswith('.qimz')
# Open the image
with open(filename, 'rb') as f:
wh = f.read(2)
width = int(wh[0])
height = int(wh[1])
im_buf = bytearray(f.read())
if compressed:
im_buf = zlib.decompress(im_buf)
return framebuf.FrameBuffer(i... | code_fim | medium | {
"lang": "python",
"repo": "jimmo/quokka-projects",
"path": "/quokka_images/load_image.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jimmo/quokka-projects path: /quokka_images/load_image.py
# Micropython image loader. Works with .qim and .qimz files created by convert_image
import framebuf
import zlib
<|fim_suffix|> if compressed is None:
compressed = filename.endswith('.qimz')
# Open the image
with open(filename, '... | code_fim | medium | {
"lang": "python",
"repo": "jimmo/quokka-projects",
"path": "/quokka_images/load_image.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Dref360/keras-transform path: /transform/sequences/functional.py
class SequentialTransformer():
def __init__(self, transformers):
<|fim_suffix|> def __call__(self, seq, mask=(True, False)):
"""
Create a transformer that combines multiples transformers.
:param seq: S... | code_fim | medium | {
"lang": "python",
"repo": "Dref360/keras-transform",
"path": "/transform/sequences/functional.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Create a transformer that combines multiples transformers.
:param seq: Sequence object
:param mask: Boolean tree-like structure.
:return: Sequence
"""
for transformer in self.transformers:
seq = transformer(seq, mask)
return s... | code_fim | hard | {
"lang": "python",
"repo": "Dref360/keras-transform",
"path": "/transform/sequences/functional.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dongyi1996/geowombat path: /tests/test_config.py
import unittest
import geowombat as gw
from geowombat.data import l8_224078_20200518
from testfixtures import LogCapture
class TestConfig(unittest.TestCase):
def test_config_bands(self):
with gw.open(l8_224078_20200518) as src:
... | code_fim | hard | {
"lang": "python",
"repo": "dongyi1996/geowombat",
"path": "/tests/test_config.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for config_default in ['sensor', 'nodata', 'ref_image', 'ref_bounds', 'ref_crs', 'ref_res', 'ref_tar', 'compress']:
self.assertIsNone(src.gw.config[config_default])
def test_config_set_res(self):
with gw.config.update(ref_res=100):
with gw.open(l8_224... | code_fim | hard | {
"lang": "python",
"repo": "dongyi1996/geowombat",
"path": "/tests/test_config.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with gw.config.update():
with gw.open(l8_224078_20200518) as src:
self.assertTrue(src.gw.config['with_config'])
with gw.open(l8_224078_20200518) as src:
self.assertFalse(src.gw.config['with_config'])
def test_warnings_ignore(self):
wi... | code_fim | hard | {
"lang": "python",
"repo": "dongyi1996/geowombat",
"path": "/tests/test_config.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: anchen1011/mxnet-lambda path: /src/geopy/geocoders/geocodefarm.py
"""
:class:`.GeocodeFarm` geocoder.
"""
from geopy.geocoders.base import Geocoder, DEFAULT_FORMAT_STRING, \
DEFAULT_TIMEOUT
from geopy.location import Location
from geopy.util import logger
from geopy.exc import GeocoderAuthen... | code_fim | hard | {
"lang": "python",
"repo": "anchen1011/mxnet-lambda",
"path": "/src/geopy/geocoders/geocodefarm.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def reverse(self, query, exactly_one=True, timeout=None):
"""
Returns a reverse geocoded location.
:param query: The coordinates for which you wish to obtain the
closest human-readable addresses.
:type query: :class:`geopy.point.Point`, list or tuple of (la... | code_fim | hard | {
"lang": "python",
"repo": "anchen1011/mxnet-lambda",
"path": "/src/geopy/geocoders/geocodefarm.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param bool exactly_one: Return one result or a list of results, if
available. GeocodeFarm's API will always return at most one
result.
:param int timeout: Time, in seconds, to wait for the geocoding service
to respond before raising a :class:`geopy.exc... | code_fim | hard | {
"lang": "python",
"repo": "anchen1011/mxnet-lambda",
"path": "/src/geopy/geocoders/geocodefarm.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># zero_to_end()
# print(list_merge)
# 2. 定义函数 merge()
# [2,0,2,0] -->[2,2,0,0] --> [4,0,0,0]
# [2,0,0,2] -->[2,2,0,0] --> [4,0,0,0]
# [4,4,4,4] --> [8,8,0,0]
# [2,0,4,2] --> [2,4,2,0]
def merge():
"""
合并数据
核心思想：零元素后移，判断是否相邻相同。如果是则合并.
"""
zero_to_end()
# len() ... | code_fim | hard | {
"lang": "python",
"repo": "chaofan-zheng/tedu-python-demo",
"path": "/month01/all_code/day12/homework/game2048.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chaofan-zheng/tedu-python-demo path: /month01/all_code/day12/homework/game2048.py
"""
2048核心算法
"""
list_merge = [2, 0, 0, 2]
# 1. 定义函数 zero_to_end()
# [2,0,2,0] --> [2,2,0,0]
# [2,0,0,2] --> [2,2,0,0]
# [2,4,0,2] --> [2,4,2,0]
def zero_to_end():
"""
零元素向后移动
思想：从后向前判... | code_fim | medium | {
"lang": "python",
"repo": "chaofan-zheng/tedu-python-demo",
"path": "/month01/all_code/day12/homework/game2048.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if args.check:
result = os.EX_DATAERR
diff = difflib.unified_diff(
idata.splitlines(keepends=True),
odata.splitlines(keepends=True),
fromfile=source + " (original)",
tofile=... | code_fim | hard | {
"lang": "python",
"repo": "ARM-software/SCP-firmware",
"path": "/tools/yaml-format.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ARM-software/SCP-firmware path: /tools/yaml-format.py
#!/usr/bin/env python3
#
# Arm SCP/MCP Software
# Copyright (c) 2021, Arm Limited and Contributors. All rights reserved.
#
# SPDX-License-Identifier: BSD-3-Clause
#
import argparse
import colorama
import difflib
import os
import sys
import ... | code_fim | hard | {
"lang": "python",
"repo": "ARM-software/SCP-firmware",
"path": "/tools/yaml-format.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
#print(magic)
return magic
def list_input(mode='sh'):
code_dict={'all':'stock_code_all',
'sh':'stock_code_sh',
'cy':'stock_code_cy',
'sz':'stock_code_sz',
}
if mode in code_dict.keys():
search_file=code_dict[mode]+'.csv'
#pri... | code_fim | hard | {
"lang": "python",
"repo": "Johnzjy/wakuang",
"path": "/data_contorl/Magic.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def list_input(mode='sh'):
code_dict={'all':'stock_code_all',
'sh':'stock_code_sh',
'cy':'stock_code_cy',
'sz':'stock_code_sz',
}
if mode in code_dict.keys():
search_file=code_dict[mode]+'.csv'
#print (search_file)
else:
searc... | code_fim | hard | {
"lang": "python",
"repo": "Johnzjy/wakuang",
"path": "/data_contorl/Magic.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Johnzjy/wakuang path: /data_contorl/Magic.py
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 24 14:36:08 2018
@author: 310128142
"""
import tushare as ts
import pandas as pd
import time
import matplotlib.pyplot as plt
import datetime
import numpy as np
import os
import tqdm
def get_magic(code):... | code_fim | hard | {
"lang": "python",
"repo": "Johnzjy/wakuang",
"path": "/data_contorl/Magic.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # build the model from a config file and a checkpoint file
model = init_model(args.config, args.checkpoint, device=args.device)
# test a single point cloud file
model_result, _ = inference_detector(model, args.pcd)
# filter the 3d bboxes whose scores > 0.5
if 'pts_bbox' in model_re... | code_fim | medium | {
"lang": "python",
"repo": "OpenGVLab/InternImage",
"path": "/autonomous_driving/openlane-v2/tools/deployment/test_torchserver.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OpenGVLab/InternImage path: /autonomous_driving/openlane-v2/tools/deployment/test_torchserver.py
from argparse import ArgumentParser
import numpy as np
import requests
from mmdet3d.apis import inference_detector, init_model
def parse_args():
parser = ArgumentParser()
parser.add_argume... | code_fim | medium | {
"lang": "python",
"repo": "OpenGVLab/InternImage",
"path": "/autonomous_driving/openlane-v2/tools/deployment/test_torchserver.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: joeig/memodrop path: /authentication/migrations/0003_auto_20181203_1431.py
# -*- coding: utf-8 -*-
# Generated by Django 1.11.13 on 2018-12-03 20:31
from __future__ import unicode_literals
from django.db import migrations
<|fim_suffix|> operations = [
migrations.AlterModelOptions(
... | code_fim | medium | {
"lang": "python",
"repo": "joeig/memodrop",
"path": "/authentication/migrations/0003_auto_20181203_1431.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AlterModelOptions(
name='userguisettings',
options={'verbose_name': 'User GUI settings', 'verbose_name_plural': 'User GUI settings'},
),
]<|fim_prefix|># repo: joeig/memodrop path: /authentication/migrations/0003_auto_20181203_1431... | code_fim | medium | {
"lang": "python",
"repo": "joeig/memodrop",
"path": "/authentication/migrations/0003_auto_20181203_1431.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mikemhenry/sc2gameMapRepo path: /sc2maptool/functions.py
from six import iteritems # python 2/3 compatibility
import random
import re
from sc2maptool.index import getIndex
from sc2maptool import constants as c
################################################################################
d... | code_fim | hard | {
"lang": "python",
"repo": "mikemhenry/sc2gameMapRepo",
"path": "/sc2maptool/functions.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>################################################################################
def filterMapNames(regexText, records=getIndex(), excludeRegex=False, closestMatch=True):
"""matches each record against regexText according to parameters
NOTE: the code could be written more simply, but this is loop... | code_fim | hard | {
"lang": "python",
"repo": "mikemhenry/sc2gameMapRepo",
"path": "/sc2maptool/functions.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jamayfieldjr/iem path: /scripts/iemre/stage4_12z_adjust.py
"""Use the QC'd 12z 24 Hour files to adjust hourly data."""
import sys
import os
import datetime
import numpy as np
from scipy.interpolate import NearestNDInterpolator
import pygrib
from pyiem import iemre
from pyiem.util import ncopen, ... | code_fim | hard | {
"lang": "python",
"repo": "jamayfieldjr/iem",
"path": "/scripts/iemre/stage4_12z_adjust.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def main(argv):
"""Go Main Go"""
if len(argv) == 4:
ts = utc(int(argv[1]), int(argv[2]), int(argv[3]), 12)
else:
ts = utc()
ts = ts - datetime.timedelta(days=1)
ts = ts.replace(hour=12, minute=0, second=0, microsecond=0)
merge(ts)
if __name__ == "__main__... | code_fim | hard | {
"lang": "python",
"repo": "jamayfieldjr/iem",
"path": "/scripts/iemre/stage4_12z_adjust.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Go Main Go"""
if len(argv) == 4:
ts = utc(int(argv[1]), int(argv[2]), int(argv[3]), 12)
else:
ts = utc()
ts = ts - datetime.timedelta(days=1)
ts = ts.replace(hour=12, minute=0, second=0, microsecond=0)
merge(ts)
if __name__ == "__main__":
main(sys.a... | code_fim | hard | {
"lang": "python",
"repo": "jamayfieldjr/iem",
"path": "/scripts/iemre/stage4_12z_adjust.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: amandewatnitrr/Robothon_1.0_NITRR path: /Robothon_Final/water-judge/water-judge/iotData/migrations/0006_auto_20200301_1019.py
# Generated by Django 2.2 on 2020-03-01 04:49
from django.db import migrations, models
<|fim_suffix|> dependencies = [
('iotData', '0005_auto_20200301_0858')... | code_fim | medium | {
"lang": "python",
"repo": "amandewatnitrr/Robothon_1.0_NITRR",
"path": "/Robothon_Final/water-judge/water-judge/iotData/migrations/0006_auto_20200301_1019.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AddField(
model_name='reading',
name='field5',
field=models.FloatField(default=0),
),
migrations.AddField(
model_name='reading',
name='wqi',
field=models.FloatField(default=0),
... | code_fim | medium | {
"lang": "python",
"repo": "amandewatnitrr/Robothon_1.0_NITRR",
"path": "/Robothon_Final/water-judge/water-judge/iotData/migrations/0006_auto_20200301_1019.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: realpython/materials path: /intro-to-threading/executor.py
#!/usr/bin/env python3
import concurrent.futures
import logging
import time
<|fim_suffix|>if __name__ == "__main__":
format = "%(asctime)s: %(message)s"
logging.basicConfig(format=format, level=logging.INFO, datefmt="%H:%M:%S")
... | code_fim | medium | {
"lang": "python",
"repo": "realpython/materials",
"path": "/intro-to-threading/executor.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
format = "%(asctime)s: %(message)s"
logging.basicConfig(format=format, level=logging.INFO, datefmt="%H:%M:%S")
with concurrent.futures.ThreadPoolExecutor(max_workers=3) as executor:
executor.map(thread_function, range(3))<|fim_prefix|># repo: realpython/mate... | code_fim | medium | {
"lang": "python",
"repo": "realpython/materials",
"path": "/intro-to-threading/executor.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with concurrent.futures.ThreadPoolExecutor(max_workers=3) as executor:
executor.map(thread_function, range(3))<|fim_prefix|># repo: realpython/materials path: /intro-to-threading/executor.py
#!/usr/bin/env python3
import concurrent.futures
import logging
import time
<|fim_middle|>
def thread... | code_fim | hard | {
"lang": "python",
"repo": "realpython/materials",
"path": "/intro-to-threading/executor.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rocktavious/DevToolsLib path: /DTL/maya/vertexColorUtils.py
import os, sys, traceback
import maya.cmds as cmds
from functools import partial
#Needs refactoring
from ..utils.funcs import selection
from DTL.api import Safe
"""
#------------------------------------------------------------
def bui... | code_fim | hard | {
"lang": "python",
"repo": "rocktavious/DevToolsLib",
"path": "/DTL/maya/vertexColorUtils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#------------------------------------------------------------
def vertexColorBlend(vertList=None, currentRGBA=None, red=1, green=1, blue=1, mix=0.5 ):
'''Blend New Color with Current Color - Alpha Excluded'''
if currentRGBA == None:
return
newR = currentRGBA[0]*(1-mix) + red*mix
n... | code_fim | hard | {
"lang": "python",
"repo": "rocktavious/DevToolsLib",
"path": "/DTL/maya/vertexColorUtils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ll_code = """
define void @mykernel(i32* %data) {
%1 = load i32, i32* %data
%2 = sext i32 %1 to i64
%3 = lshr i64 %2, 32
%4 = trunc i64 %3 to i32
store i32 %4, i32* %data
ret void
}
"""
cl_code = test_common.ll_to_cl(ll_code, 'mykernel', 1)
print('cl_code', cl_code)
for experim... | code_fim | hard | {
"lang": "python",
"repo": "pint1022/coriander",
"path": "/test/test_cast.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_sext(context, q, int_data, int_data_gpu):
ll_code = """
define void @mykernel(i32* %data) {
%1 = load i32, i32* %data
%2 = sext i32 %1 to i64
%3 = lshr i64 %2, 32
%4 = trunc i64 %3 to i32
store i32 %4, i32* %data
ret void
}
"""
cl_code = test_common.ll_to_cl(ll_code, 'mykerne... | code_fim | hard | {
"lang": "python",
"repo": "pint1022/coriander",
"path": "/test/test_cast.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pint1022/coriander path: /test/test_cast.py
# Copyright Hugh Perkins 2016, 2017
"""
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-... | code_fim | medium | {
"lang": "python",
"repo": "pint1022/coriander",
"path": "/test/test_cast.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abeaumont/competitive-programming path: /tuenti/tuenti-challenge-10/1.py
#!/usr/bin/env python
for i in range(int(input())):
k = ''.join(sorted(input().split()))
s =<|fim_suffix|>: 'R', 'SS': '-'}
print(f'Case #{i+1}: {s[k]}')<|fim_middle|> {'PP': '-', 'PR': 'P', 'PS': 'S', 'RR': '-',... | code_fim | easy | {
"lang": "python",
"repo": "abeaumont/competitive-programming",
"path": "/tuenti/tuenti-challenge-10/1.py",
"mode": "psm",
"license": "WTFPL",
"source": "the-stack-v2"
} |
<|fim_suffix|>: 'R', 'SS': '-'}
print(f'Case #{i+1}: {s[k]}')<|fim_prefix|># repo: abeaumont/competitive-programming path: /tuenti/tuenti-challenge-10/1.py
#!/usr/bin/env python
for i in range(int(input()))<|fim_middle|>:
k = ''.join(sorted(input().split()))
s = {'PP': '-', 'PR': 'P', 'PS': 'S', 'RR': '-',... | code_fim | medium | {
"lang": "python",
"repo": "abeaumont/competitive-programming",
"path": "/tuenti/tuenti-challenge-10/1.py",
"mode": "spm",
"license": "WTFPL",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: reviewboard/reviewboard path: /reviewboard/extensions/tests/test_filediffacl_hook.py
"""Unit tests for reviewboard.extensions.hooks.FileDiffACLHook."""
import kgb
from djblets.features.testing import override_feature_check
from reviewboard.extensions.hooks import FileDiffACLHook
from reviewboar... | code_fim | hard | {
"lang": "python",
"repo": "reviewboard/reviewboard",
"path": "/reviewboard/extensions/tests/test_filediffacl_hook.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _test_hook_approval_sequence(self, accessible_values, result):
"""Test a sequence of FileDiffACLHook approval results.
Args:
accessible_values (list of bool):
A list of the values to return from FileDiffACLHook
implementations.
... | code_fim | hard | {
"lang": "python",
"repo": "reviewboard/reviewboard",
"path": "/reviewboard/extensions/tests/test_filediffacl_hook.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>setup(
name='spectral_rhythm_detector',
version='0.1.0.dev0',
license='MIT',
description=('Identify spectral rhythm events'),
author='',
author_email='',
url='https://github.com/Eden-Kramer-Lab/spectral_rhythm_detector',
packages=find_packages(),
install_requires=INSTAL... | code_fim | hard | {
"lang": "python",
"repo": "Eden-Kramer-Lab/spectral_rhythm_detector",
"path": "/setup.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Eden-Kramer-Lab/spectral_rhythm_detector path: /setup.py
#!/usr/bin/env python3
from setuptools import find_packages, setup
<|fim_suffix|>setup(
name='spectral_rhythm_detector',
version='0.1.0.dev0',
license='MIT',
description=('Identify spectral rhythm events'),
author='',
... | code_fim | hard | {
"lang": "python",
"repo": "Eden-Kramer-Lab/spectral_rhythm_detector",
"path": "/setup.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: emizhang/HostaLabs-Localization path: /samples/dnn/mobilenet_ssd_python_copy_2.py
# This script is used to demonstrate MobileNet-SSD network using OpenCV deep learning module.
#
# It works with model taken from https://github.com/chuanqi305/MobileNet-SSD/ that
# was trained in Caffe-SSD framework... | code_fim | hard | {
"lang": "python",
"repo": "emizhang/HostaLabs-Localization",
"path": "/samples/dnn/mobilenet_ssd_python_copy_2.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if frame_num == 0:
# Don't need Counter or any of the code in the next block but keeping it for now in case I want to fix the situation of multiple classes later
labels = []
for i in range(detections.shape[2]):
confidence = detections[0, 0, i, 2]... | code_fim | hard | {
"lang": "python",
"repo": "emizhang/HostaLabs-Localization",
"path": "/samples/dnn/mobilenet_ssd_python_copy_2.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>max_level = pywt.dwt_max_level(len(signal), discrete_wavelet)
print('MAXIMUM DECOMPOSE LEVEL = ',max_level)
# decompose
tree = pywt.wavedec(signal, 'db2',level=3)
cA3, cD3, cD2, cD1 = tree
#print(len(cD1),len(cD2),len(cD3),len(cA3))
# reconstruct
rec_sample = pywt.waverec(tree, 'db2')
rec_to_o... | code_fim | hard | {
"lang": "python",
"repo": "BNMEZR/PFE",
"path": "/SP_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BNMEZR/PFE path: /SP_data.py
import numpy as np
import librosa, librosa.display
import matplotlib.pyplot as plt
import pywt
import scipy
import time
FIG_SIZE = (15,10)
file = "spkr09_M_S1a_cry14.wav"
##for file in range(0, len(audio_file),1)
# load audio file with Librosa
start ... | code_fim | hard | {
"lang": "python",
"repo": "BNMEZR/PFE",
"path": "/SP_data.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>plt.subplot(5,1,2)
plt.title('cD1')
plt.plot(np.linspace(0.0, len(rec_to_orig),len(rec_to_orig)), rec_to_orig)
plt.xlim(xmin=0)
plt.grid()
plt.subplot(5,1,3)
plt.title('cD2')
plt.plot(np.linspace(0.0, len(rec_to_level1),len(rec_to_level1)), rec_to_level1)
plt.xlim(xmin=0)
plt.grid()
plt.subplot(... | code_fim | hard | {
"lang": "python",
"repo": "BNMEZR/PFE",
"path": "/SP_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xflows/textflows path: /workflows/api_views.py
from rest_framework import viewsets, mixins
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import filters
from workflows.models import *
from workflows.serializers import *
class WorkflowVi... | code_fim | medium | {
"lang": "python",
"repo": "xflows/textflows",
"path": "/workflows/api_views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_queryset(self):
return Workflow.objects.filter(user=self.request.user).prefetch_related('widgets','widgets__inputs','widgets__outputs')
class WidgetViewSet(viewsets.ModelViewSet):
"""
API endpoint that allows widgets to be viewed or edited.
"""
model = Widget
filt... | code_fim | hard | {
"lang": "python",
"repo": "xflows/textflows",
"path": "/workflows/api_views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_serializer_class(self):
if self.action == 'list':
return WorkflowListSerializer
return WorkflowSerializer
def perform_create(self, serializer):
serializer.save(user=self.request.user)
def get_queryset(self):
return Workflow.objects.filter(u... | code_fim | medium | {
"lang": "python",
"repo": "xflows/textflows",
"path": "/workflows/api_views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: flexciton/pyomo path: /pyomo/contrib/pynumero/examples/callback/cyipopt_callback.py
import pyomo.environ as pyo
from pyomo.contrib.pynumero.examples.callback.reactor_design import model as m
import logging
<|fim_suffix|> solver = pyo.SolverFactory('cyipopt')
status, nlp = solver.solve(m, ... | code_fim | hard | {
"lang": "python",
"repo": "flexciton/pyomo",
"path": "/pyomo/contrib/pynumero/examples/callback/cyipopt_callback.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> solver = pyo.SolverFactory('cyipopt')
status, nlp = solver.solve(m, tee=False, return_nlp=True,
intermediate_callback=iteration_callback)
if __name__ == '__main__':
logging.getLogger('pyomo').setLevel(logging.INFO)
main()<|fim_prefix|># repo: flexciton/pyomo pa... | code_fim | hard | {
"lang": "python",
"repo": "flexciton/pyomo",
"path": "/pyomo/contrib/pynumero/examples/callback/cyipopt_callback.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_set_and_load_settings(self):
aSettingDir = "/MyProject/aSetting.sublime-settings"
aSetting = {"setting1": "a Setting", "setting2": 5}
sublime.setSettings(aSettingDir, aSetting)
result = sublime.load_settings(aSettingDir)
self.assertEqual(aSetting, result)
def test_loading_non_existan... | code_fim | medium | {
"lang": "python",
"repo": "anconaesselmann/LiveUnit",
"path": "/classes_and_tests/srcTest/mocking/sublimeTest.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: anconaesselmann/LiveUnit path: /classes_and_tests/srcTest/mocking/sublimeTest.py
import unittest
import os
if __name__ == '__main__' and __package__ is None:
from os import sys, path
sys.path.append(path.abspath(path.join(__file__, "..", "..", "..")))
from src.mocking.sublime import sub... | code_fim | hard | {
"lang": "python",
"repo": "anconaesselmann/LiveUnit",
"path": "/classes_and_tests/srcTest/mocking/sublimeTest.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_get_packagePath(self):
expected = os.path.join("A", "mock", "packages", "path")
result = sublime.packages_path()
self.assertEqual(expected, result)
def test_set_get_active_window(self):
activeWindow = "window"
resultBefore = sublime.active_window()
sublime.setActiveWindow(activeWin... | code_fim | hard | {
"lang": "python",
"repo": "anconaesselmann/LiveUnit",
"path": "/classes_and_tests/srcTest/mocking/sublimeTest.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> sessionsFolder = self.findSessionsFolder()
items = list(Folder().childItems(sessionsFolder, filters={'name': 'json'}))
if not len(items):
raise RestException('doesn\'t contain a json item', code=404)
jsonItem = items[0]
# Next TODO: read, format, and str... | code_fim | hard | {
"lang": "python",
"repo": "OpenImaging/miqa-web",
"path": "/server/miqa_server/session.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> @access.user
@autoDescribeRoute(
Description('Retrieve all sessions in a tree structure')
.errorResponse())
def getSessions(self, params):
return self._getSessions()
def _getSessions(self):
user = self.getCurrentUser()
sessionsFolder = self.findSess... | code_fim | hard | {
"lang": "python",
"repo": "OpenImaging/miqa-web",
"path": "/server/miqa_server/session.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OpenImaging/miqa-web path: /server/miqa_server/session.py
import datetime
import io
import json
from jsonschema import validate
from jsonschema.exceptions import ValidationError as JSONValidationError
import os
import sys
import traceback
from girder.api.rest import Resource, setResponseHeader, ... | code_fim | hard | {
"lang": "python",
"repo": "OpenImaging/miqa-web",
"path": "/server/miqa_server/session.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dmlc/gluon-cv path: /gluoncv/model_zoo/pspnet.py
# pylint: disable=unused-argument
"""Pyramid Scene Parsing Network"""
from mxnet.gluon import nn
from mxnet.context import cpu
from mxnet.gluon.nn import HybridBlock
from .segbase import SegBaseModel
from .fcn import _FCNHead
# pylint: disable-all
... | code_fim | hard | {
"lang": "python",
"repo": "dmlc/gluon-cv",
"path": "/gluoncv/model_zoo/pspnet.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> feat1 = self.upsample(F, self.conv1(self.pool(F, x, 1)))
feat2 = self.upsample(F, self.conv2(self.pool(F, x, 2)))
feat3 = self.upsample(F, self.conv3(self.pool(F, x, 3)))
feat4 = self.upsample(F, self.conv4(self.pool(F, x, 6)))
return F.concat(x, feat1, feat2, feat3... | code_fim | hard | {
"lang": "python",
"repo": "dmlc/gluon-cv",
"path": "/gluoncv/model_zoo/pspnet.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: WikiWatershed/gwlf-e path: /gwlfe/Memoization.py
import hashlib
from numpy import ndarray
def memoize_with_args(f):
"""This memoization function checks to ensure that the called arguments are equal before returning memoized result.
This is patched in for testing to ensure that there is... | code_fim | hard | {
"lang": "python",
"repo": "WikiWatershed/gwlf-e",
"path": "/gwlfe/Memoization.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>memoized_return_values = {}
def resetMemoization():
global memoized_return_values
memoized_return_values = {}
def memoize(f):
"""This memoization function does not check what arguments the function is called with. This requires that the model
be reitinitalized between each run, but sav... | code_fim | hard | {
"lang": "python",
"repo": "WikiWatershed/gwlf-e",
"path": "/gwlfe/Memoization.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> class memodict(dict):
def __init__(self, f):
self.f = f
self.__name__ = f.__name__
def __call__(self, *args):
global memoized_return_values
try:
return memoized_return_values[self.__name__]
except KeyError:
... | code_fim | hard | {
"lang": "python",
"repo": "WikiWatershed/gwlf-e",
"path": "/gwlfe/Memoization.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zihaohe123/pytorch-seq2seq path: /model2lstm.py
import numpy as np
import pdb
import math
import torch
from torch import nn
from torch.nn import functional as F
from torch.nn.utils.rnn import pad_sequence
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence, pa... | code_fim | hard | {
"lang": "python",
"repo": "zihaohe123/pytorch-seq2seq",
"path": "/model2lstm.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def forward(self, input_seq, input_len, output_seq, output_len, training=True, sos_tok=0, max_length=0, device='cpu'):
input_emb = self.input_embedding(input_seq)
batch_size = input_seq.size(1)
max_len = output_seq.size(0)#this one is only for the training, different from max_l... | code_fim | hard | {
"lang": "python",
"repo": "zihaohe123/pytorch-seq2seq",
"path": "/model2lstm.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>np.save('bars_and_stripes', dataset)
subset = dataset[0:10]
for img in subset:
img[0:2,0:2]=0
np.save('blanked_bars_and_stripes', subset)
# plt.imshow(dataset[0])
# plt.show()
# plt.imshow(subset[0])
# plt.show()<|fim_prefix|># repo: shukob/CohortProject_2020 path: /Project_1_RBM_and_Tomogra... | code_fim | medium | {
"lang": "python",
"repo": "shukob/CohortProject_2020",
"path": "/Project_1_RBM_and_Tomography/BarsAndStripes/Bars_and_Stripes.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shukob/CohortProject_2020 path: /Project_1_RBM_and_Tomography/BarsAndStripes/Bars_and_Stripes.py
import numpy as np
import matplotlib.pyplot as plt
dataset = []
set_size = 10000
for k in range(set_size):
init = np.zeros((4,4))
nr_of_stripes = np.random.randint(low = 1, high= 4, size = 1... | code_fim | medium | {
"lang": "python",
"repo": "shukob/CohortProject_2020",
"path": "/Project_1_RBM_and_Tomography/BarsAndStripes/Bars_and_Stripes.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BFriedland/data-structures path: /radix_sort/radix_sort.py
# This implementation was created with assistance from:
# http://www.geekviewpoint.com/python/sorting/radixsort
# http://en.wikibooks.org/wiki/Algorithm_Implementation/Sorting/Radix_sort
def radix_sort(the_list, base_of_each_digit=10)... | code_fim | hard | {
"lang": "python",
"repo": "BFriedland/data-structures",
"path": "/radix_sort/radix_sort.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> random_list = []
giant_quality_list = []
for each_pass in range(0, 100000):
# E.g., 1000 to 9999 or 10 to 99 or 10000000 to 99999999
topend = (not_so_random_order_of_magnitude * 10) - 1
random_number = random.randint(not_so_random_order_of_magnitude,
... | code_fim | hard | {
"lang": "python",
"repo": "BFriedland/data-structures",
"path": "/radix_sort/radix_sort.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if len(sys.argv) != 4:
print "Expect createSetFiles data, output file, universal POS Tag file."
sys.exit()
posConverter = dict()
input = open(sys.argv[3], "r")
for line in input:
tokens = line.strip().split("\t")
posConverter[tokens[0]] = tokens[1]
inpu... | code_fim | medium | {
"lang": "python",
"repo": "chapzq77/Multilingual_Event_Extraction",
"path": "/preprocessing_2.0/MaltParser_scripts/convertToCoNLL.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main():
if len(sys.argv) != 4:
print "Expect createSetFiles data, output file, universal POS Tag file."
sys.exit()
posConverter = dict()
input = open(sys.argv[3], "r")
for line in input:
tokens = line.strip().split("\t")
posConverter[tokens[0]] = tokens... | code_fim | medium | {
"lang": "python",
"repo": "chapzq77/Multilingual_Event_Extraction",
"path": "/preprocessing_2.0/MaltParser_scripts/convertToCoNLL.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chapzq77/Multilingual_Event_Extraction path: /preprocessing_2.0/MaltParser_scripts/convertToCoNLL.py
# script to convert from createSetFiles file to CoNLL format
import sys
import string
def convertPOS(pos, converter):
newPOS = ""
for character in pos:
if character not in string.... | code_fim | hard | {
"lang": "python",
"repo": "chapzq77/Multilingual_Event_Extraction",
"path": "/preprocessing_2.0/MaltParser_scripts/convertToCoNLL.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: frankier/finntk path: /finntk/omor/anlys.py
"""
Functions for basic processing of OMorFi analyses.
"""
from more_itertools import split_at
import re
from itertools import product
def analysis_to_pairs(ana):
assert ana[0] == "[" and ana[-1] == "]"
ana = ana[1:-1]
for bit in ana.split... | code_fim | hard | {
"lang": "python",
"repo": "frankier/finntk",
"path": "/finntk/omor/anlys.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def ud_to_omor(lemma, pos, feats=None):
from finntk.data.omorfi_ud import (
PASSTHROUGHS,
PASSTHROUGHS_KEY_MAP,
NUM_KEY_MAP,
NUM_VAL_MAP,
TENSE_MAP,
MOOD_MAP,
VOICE_MAP,
PART_FORM_MAP,
INF_FORM_MAP,
)
pos = pos.upper()
... | code_fim | hard | {
"lang": "python",
"repo": "frankier/finntk",
"path": "/finntk/omor/anlys.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: doy/libvt100-python path: /t/processing_test.py
# coding=utf-8
from . import VT100Test
class ProcessingTest(VT100Test):
def test_split_escape_sequences(self):
assert self.vt.process("abc") == 3
assert self.vt.process("abc\033[12;24Hdef") == 14
assert self.vt.process(... | code_fim | hard | {
"lang": "python",
"repo": "doy/libvt100-python",
"path": "/t/processing_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert self.vt.process("a") == 1
assert self.vt.process(b"\303") == 0
assert self.vt.process(b"\303\241") == 2
assert self.vt.process("á") == 2
assert self.vt.process(b"\343") == 0
assert self.vt.process(b"\343\202") == 0
assert self.vt.process(b"\... | code_fim | medium | {
"lang": "python",
"repo": "doy/libvt100-python",
"path": "/t/processing_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# for x in range(100):
# print(x)
# requests.post('http://172.18.2.168:1234/equip_type',data = json.dumps({'e_code': '3'}), verify=False)
# for x in range(100):
# print(x)
# requests.post('http://172.18.2.168:1234/unconnected_assist_equip', verify=False)
# for x in range(100):
# p... | code_fim | hard | {
"lang": "python",
"repo": "herambchaudhari4121/website-10",
"path": "/weatherSys/tests.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: herambchaudhari4121/website-10 path: /weatherSys/tests.py
from django.test import TestCase
# Create your tests here.
import requests
import json
import time
import random
from weatherSys import db_handling as db
from treelib import Tree, Node
time_start=time.time()
# eid = ['HZGEXT0306', 'HZGE... | code_fim | hard | {
"lang": "python",
"repo": "herambchaudhari4121/website-10",
"path": "/weatherSys/tests.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# for x in range(100):
# print(x)
# requests.post('http://172.18.2.168:1234/features', verify=False)
# for x in range(100):
# print(x)
# requests.post('http://172.18.2.168:1234/features_filter', verify=False)
# for x in range(100):
# print(requests.post('http://172.18.2.168:1234/fe... | code_fim | hard | {
"lang": "python",
"repo": "herambchaudhari4121/website-10",
"path": "/weatherSys/tests.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_quit(self):
apps = app.App()
apps.main.template.active_template.quit_gui()
assert apps.main.template is None<|fim_prefix|># repo: Walrick/gui_tool path: /tk_gui_tools/test/test_global.py
#!/usr/bin/python3
# -*- coding: utf8 -*-
import app
<|fim_middle|>
class TestG... | code_fim | easy | {
"lang": "python",
"repo": "Walrick/gui_tool",
"path": "/tk_gui_tools/test/test_global.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> apps = app.App()
apps.main.template.active_template.quit_gui()
assert apps.main.template is None<|fim_prefix|># repo: Walrick/gui_tool path: /tk_gui_tools/test/test_global.py
#!/usr/bin/python3
# -*- coding: utf8 -*-
import app
<|fim_middle|>
class TestGlobal:
def test_quit(... | code_fim | easy | {
"lang": "python",
"repo": "Walrick/gui_tool",
"path": "/tk_gui_tools/test/test_global.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Walrick/gui_tool path: /tk_gui_tools/test/test_global.py
#!/usr/bin/python3
# -*- coding: utf8 -*-
import app
<|fim_suffix|> def test_quit(self):
apps = app.App()
apps.main.template.active_template.quit_gui()
assert apps.main.template is None<|fim_middle|>
class TestG... | code_fim | easy | {
"lang": "python",
"repo": "Walrick/gui_tool",
"path": "/tk_gui_tools/test/test_global.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: monster1025/aqara-mqtt path: /src/xiaomihub.py
import socket
import struct
import json
import logging
import sys
import select
from collections import defaultdict
from queue import Queue
from threading import Thread
_LOGGER = logging.getLogger(__name__)
# MANDATORY!!!! NEED TO TURN OFF "_proces... | code_fim | hard | {
"lang": "python",
"repo": "monster1025/aqara-mqtt",
"path": "/src/xiaomihub.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def stop(self):
"""Stop listening."""
self._listening = False
self._queue.put(None)
for t in self._threads:
t.join()
if self._mcastsocket is not None:
self._mcastsocket.close()
self._mcastsocket = None
def _listen_to_ms... | code_fim | hard | {
"lang": "python",
"repo": "monster1025/aqara-mqtt",
"path": "/src/xiaomihub.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _send_socket(self, cmd, rtnCmd, ip, port):
socket = self._socket
try:
_LOGGER.debug('Sending to GW {0}'.format(cmd))
self._read_unwanted_data()
socket.settimeout(30.0)
socket.sendto(cmd.encode(), (ip, port))
socket.settim... | code_fim | hard | {
"lang": "python",
"repo": "monster1025/aqara-mqtt",
"path": "/src/xiaomihub.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: UNSW-CEEM/NEMPRO path: /examples/forecaster_day_ahead.py
import pandas as pd
from NEMPRO import historical_inputs, planner
import plotly.graph_objects as go
from plotly.subplots import make_subplots
raw_data_cache = 'C:/Users/nick/Documents/nem_data'
# Build data set for calibrating the dispatc... | code_fim | hard | {
"lang": "python",
"repo": "UNSW-CEEM/NEMPRO",
"path": "/examples/forecaster_day_ahead.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>#tech_availability = historical_inputs.get_tech_operating_capacities(start_time_forward_data,
# end_time_forward_data,
# raw_data_cache)
#forward_data = pd.merge(demand_da... | code_fim | hard | {
"lang": "python",
"repo": "UNSW-CEEM/NEMPRO",
"path": "/examples/forecaster_day_ahead.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>older.exists:
print("Folder '{0}' is found".format(folder_path))
else:
print("Folder '{0}' not found".format(folder_path))<|fim_prefix|># repo: vgrem/Office365-REST-Python-Client path: /examples/sharepoint/folders/folder_exists.py
"""
How to determine whether folder exist?
"""
from office365.sha... | code_fim | medium | {
"lang": "python",
"repo": "vgrem/Office365-REST-Python-Client",
"path": "/examples/sharepoint/folders/folder_exists.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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