text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: HeadReaper-hc/registration_tutorial path: /src/thorax/affine/niftireg/tools/fix_boundary_artifact_mri_convert.py
import nibabel as nib
import argparse
import pdb, traceback, sys
def main():
try:
parser = argparse.ArgumentParser(description='Fix the boundary issue of mri_roi resamplin... | code_fim | hard | {
"lang": "python",
"repo": "HeadReaper-hc/registration_tutorial",
"path": "/src/thorax/affine/niftireg/tools/fix_boundary_artifact_mri_convert.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> img_art_data[ 0, :, :] = args.pad_val
img_art_data[-1, :, :] = args.pad_val
img_art_data[ :, 0, :] = args.pad_val
img_art_data[ :, -1, :] = args.pad_val
img_art_data[ :, :, 0] = args.pad_val
img_art_data[ :, :, -1] = args.pad_val
print(f'O... | code_fim | medium | {
"lang": "python",
"repo": "HeadReaper-hc/registration_tutorial",
"path": "/src/thorax/affine/niftireg/tools/fix_boundary_artifact_mri_convert.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KATO-Hiro/AtCoder path: /Others/indeeednow/indeednow-qualb/a.py
# -*- coding: utf-8 -*-
<|fim_suffix|>
if __name__ == '__main__':
main()<|fim_middle|>
def main():
x1, y1 = map(int, input().split())
x2, y2 = map(int, input().split())
print(abs(x2 - x1) + abs(y2 - y1) + 1)
| code_fim | medium | {
"lang": "python",
"repo": "KATO-Hiro/AtCoder",
"path": "/Others/indeeednow/indeednow-qualb/a.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> x1, y1 = map(int, input().split())
x2, y2 = map(int, input().split())
print(abs(x2 - x1) + abs(y2 - y1) + 1)
if __name__ == '__main__':
main()<|fim_prefix|># repo: KATO-Hiro/AtCoder path: /Others/indeeednow/indeednow-qualb/a.py
# -*- coding: utf-8 -*-
<|fim_middle|>def main():
| code_fim | easy | {
"lang": "python",
"repo": "KATO-Hiro/AtCoder",
"path": "/Others/indeeednow/indeednow-qualb/a.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def head(self, *args, **kwargs):
return self._request("head", *args, **kwargs)
def options(self, *args, **kwargs):
return self._request("options", *args, **kwargs)
def patch(self, *args, **kwargs):
return self._request("patch", *args, **kwargs)
def post(self, *ar... | code_fim | hard | {
"lang": "python",
"repo": "filfreire/questions-three",
"path": "/questions_three/http_client/http_client.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: filfreire/questions-three path: /questions_three/http_client/http_client.py
import requests
from uuid import uuid4
from twin_sister import dependency
from questions_three.constants import TestEvent
from questions_three.event_broker import EventBroker, subscribe_event_handlers
from questions_thr... | code_fim | hard | {
"lang": "python",
"repo": "filfreire/questions-three",
"path": "/questions_three/http_client/http_client.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tillt/Soundcloud-Artwork-Extractor path: /extract.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Soundcloud Cover Artwork URL Extractor.
"""
from html.parser import HTMLParser
import sys
import urllib.request
<|fim_suffix|>
if len(sys.argv) != 2:
print('Usage: {} URL'.format(sys.a... | code_fim | hard | {
"lang": "python",
"repo": "tillt/Soundcloud-Artwork-Extractor",
"path": "/extract.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if prop == 'og:image' and 'content' in attr:
content = attr['content']
self.image = content
if len(sys.argv) != 2:
print('Usage: {} URL'.format(sys.argv[0]))
exit(1)
url = sys.argv[1]
request = urllib.request.Request(url)
with urllib.request.urlopen(... | code_fim | hard | {
"lang": "python",
"repo": "tillt/Soundcloud-Artwork-Extractor",
"path": "/extract.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>p = figure(plot_width=400,
plot_height=400,
tools=[box_select],
title="Select Below",
x_range=Range1d(start=0.0, end=1.0),
y_range=Range1d(start=0.0, end=1.0))
rect = Rect(x='x',
y='y',
width='width',
height='heigh... | code_fim | medium | {
"lang": "python",
"repo": "enterstudio/bokeh",
"path": "/sphinx/source/docs/user_guide/examples/interaction_callbacks_for_tools.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: enterstudio/bokeh path: /sphinx/source/docs/user_guide/examples/interaction_callbacks_for_tools.py
from bokeh.models import CustomJS, ColumnDataSource, BoxSelectTool, Range1d, Rect
from bokeh.plotting import figure, output_file, show
output_file("boxselecttool_callback.html")
source = ColumnDat... | code_fim | hard | {
"lang": "python",
"repo": "enterstudio/bokeh",
"path": "/sphinx/source/docs/user_guide/examples/interaction_callbacks_for_tools.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: meqash/sito path: /bin/noise/noise_migration_s.py
#!/usr/bin/env python
# by TR
from obspy.core import UTCDateTime as UTC
from sito.noisexcorr import setHIDist
from sito.noise_migration import migrate, migrate2, migrate3
from sito.util.imaging import xcorr_cmap
from obspy.signal.util import utlGe... | code_fim | hard | {
"lang": "python",
"repo": "meqash/sito",
"path": "/bin/noise/noise_migration_s.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># data = np.load('/home/richter/Results/IPOC/xcorr/1bit/migration/data_some_stations_method3_5Hz_1500x1500_interference.npy')
# from mpl_toolkits.basemap import Basemap
# for key in ipoc:
# try:
# data = np.load('/home/richter/Results/IPOC/xcorr/1bit/migration/data_station_%s_2... | code_fim | hard | {
"lang": "python",
"repo": "meqash/sito",
"path": "/bin/noise/noise_migration_s.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ekraka/EDHB path: /scripts/module.py
import os
import sys
import subprocess
def pdb_xyz(file):
f=open(file,'r')
list1=f.readlines()
f.close()
d={}
id=0
for line in list1:
if len(line.strip().split())==0:
continue
if "TER" in line.split()[0]:
... | code_fim | hard | {
"lang": "python",
"repo": "ekraka/EDHB",
"path": "/scripts/module.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> inp_d = get_inp()
if os.system(inp_d['babel_path']+' '+path+' '+path.split('.')[0]+'.xyz')==0:
return 0
sym={'15':'P','14':'Si','1':'H','7':'N','8':'O','6':'C','53':'I','36':'Kr','9':'F','16':'S'}
if path.split('.')[-1]=='fchk':
make_fchk(path,sym)
filter_xyz(path,5... | code_fim | hard | {
"lang": "python",
"repo": "ekraka/EDHB",
"path": "/scripts/module.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Migration(migrations.Migration):
dependencies = [
('account', '0005_auto_20210203_1123'),
]
operations = [
migrations.AddField(
model_name='account',
name='avatar_url',
field=models.TextField(blank=True, null=True),
),
]<|... | code_fim | easy | {
"lang": "python",
"repo": "frank3054/segmentoj",
"path": "/account/migrations/0006_account_avatar_url.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: frank3054/segmentoj path: /account/migrations/0006_account_avatar_url.py
# Generated by Django 3.1.5 on 2021-02-04 12:15
from django.db import migrations, models
<|fim_suffix|> dependencies = [
('account', '0005_auto_20210203_1123'),
]
operations = [
migrations.AddF... | code_fim | easy | {
"lang": "python",
"repo": "frank3054/segmentoj",
"path": "/account/migrations/0006_account_avatar_url.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Reports the overall status of automatic update checking for OS X updates,
App Store app updates, and Gatekeeper and XProtect configurations
"""
status = "disabled"
pref = CFPreferencesCopyAppValue(
"AutomaticCheckEnabled", "/Library/Preferences/com.apple.SoftwareUpdate"... | code_fim | medium | {
"lang": "python",
"repo": "chilcote/unearth",
"path": "/artifacts/updates_check_status.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
print("<result>%s</result>" % fact()[factoid])<|fim_prefix|># repo: chilcote/unearth path: /artifacts/updates_check_status.py
from CoreFoundation import CFPreferencesCopyAppValue
factoid = "updates_check_status"
def fact():
"""
Reports the overall status of auto... | code_fim | medium | {
"lang": "python",
"repo": "chilcote/unearth",
"path": "/artifacts/updates_check_status.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chilcote/unearth path: /artifacts/updates_check_status.py
from CoreFoundation import CFPreferencesCopyAppValue
factoid = "updates_check_status"
def fact():
<|fim_suffix|> return {factoid: status}
if __name__ == "__main__":
print("<result>%s</result>" % fact()[factoid])<|fim_middle|> ... | code_fim | hard | {
"lang": "python",
"repo": "chilcote/unearth",
"path": "/artifacts/updates_check_status.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> keys_emb = concat_func(keys_emb_list, mask=True)
deep_input_emb = concat_func(dnn_input_emb_list)
query_emb = concat_func(query_emb_list, mask=True)
hist = AttentionSequencePoolingLayer(att_hidden_size, att_activation,
weight_normalization=att_weigh... | code_fim | hard | {
"lang": "python",
"repo": "sangyongjia/DeepCTR",
"path": "/deepctr/models/star.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sangyongjia/DeepCTR path: /deepctr/models/star.py
# -*- coding:utf-8 -*-
from itertools import chain
import tensorflow as tf
from tensorflow.python.keras.models import Model
from tensorflow.python.keras.layers import Dense, Flatten
from ..feature_column import build_input_features, SparseFeat, ... | code_fim | hard | {
"lang": "python",
"repo": "sangyongjia/DeepCTR",
"path": "/deepctr/models/star.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> embedding_dict = create_embedding_matrix(dnn_feature_columns, l2_reg_embedding, seed, prefix="")
query_emb_list = embedding_lookup(embedding_dict, features, sparse_feature_columns, history_feature_list,
history_feature_list, to_list=True) #item_id, cate_id
... | code_fim | hard | {
"lang": "python",
"repo": "sangyongjia/DeepCTR",
"path": "/deepctr/models/star.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>rootpath="/home/deepak/dropbox/aasaan/database-backups"
cleanup(rootpath)
rootpath="/home/deepak/dropbox/aasaan/metabase"
cleanup(rootpath, cutoffdays=2)<|fim_prefix|># repo: deepakkt/aasaan path: /deploy/database_backup_clean.py
#!/usr/bin/python
import os
from datetime import date
def cleanup(rootpat... | code_fim | hard | {
"lang": "python",
"repo": "deepakkt/aasaan",
"path": "/deploy/database_backup_clean.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: deepakkt/aasaan path: /deploy/database_backup_clean.py
#!/usr/bin/python
import os
from datetime import date
def cleanup(rootpath, cutoffdays=8):
<|fim_suffix|>rootpath="/home/deepak/dropbox/aasaan/database-backups"
cleanup(rootpath)
rootpath="/home/deepak/dropbox/aasaan/metabase"
cleanup(rootp... | code_fim | hard | {
"lang": "python",
"repo": "deepakkt/aasaan",
"path": "/deploy/database_backup_clean.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: agonzgarc/ADL path: /research/object_detection/frames_inspector.py
import pdb
import random
import numpy as np
import functools
import json
import os
import tensorflow as tf
import imp
import pickle
from object_detection import trainer
from object_detection import selection_funcs as sel
from ob... | code_fim | hard | {
"lang": "python",
"repo": "agonzgarc/ADL",
"path": "/research/object_detection/frames_inspector.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
#eval_train_dir='/datatmp/Experiments/Javad/tf/model/'+False_PN+'_gtR1cycle1/'+False_PN+'_gtR1cycle2eval_train/'
#current_cycle_path='/datatmp/Experiments/Javad/tf/model/'+False_PN+'_gtR1cycle1/'
#next_cycle_path='/datatmp/Experiments/Javad/tf/model/'+False_PN+'_gtR1cycle2/'
current_active_set=[]
next_a... | code_fim | hard | {
"lang": "python",
"repo": "agonzgarc/ADL",
"path": "/research/object_detection/frames_inspector.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ziang-Lu/Design-Patterns path: /4-Behavioral Patterns/9-Mediator Pattern/Interphone Group Example (1-to-many)/Python/model.py
#!usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Model module.
"""
__author__ = 'Ziang Lu'
from abc import ABC
class InterphoneGroup:
"""
InterphoneGroup cla... | code_fim | hard | {
"lang": "python",
"repo": "Ziang-Lu/Design-Patterns",
"path": "/4-Behavioral Patterns/9-Mediator Pattern/Interphone Group Example (1-to-many)/Python/model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Concrete LeaderUser that works as "ConcreteColleague".
"""
__slots__ = []
def __init__(self, name: str):
"""
Constructor with parameter.
:param name: str
"""
super().__init__(name)
class NormalUser(User):
"""
Concrete NormalUser th... | code_fim | hard | {
"lang": "python",
"repo": "Ziang-Lu/Design-Patterns",
"path": "/4-Behavioral Patterns/9-Mediator Pattern/Interphone Group Example (1-to-many)/Python/model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> steps = 0
for i in range(args.num_rollouts):
vel = []
mapping_cache = {} # in case policy_agent_mapping is stochastic
reward_dict = {}
obs = env.reset()
agent_states = DefaultMapping(
lambda agent_id: state_init[mapping_cache[agent_id]])
... | code_fim | hard | {
"lang": "python",
"repo": "Autonomous-Vehicle/decentralized_bottlenecks",
"path": "/flow/visualize/visualizer_rllib.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Autonomous-Vehicle/decentralized_bottlenecks path: /flow/visualize/visualizer_rllib.py
"""Visualizer for rllib experiments.
Attributes
----------
EXAMPLE_USAGE : str
Example call to the function, which is
::
python ./visualizer_rllib.py /tmp/ray/result_dir 1
parser : ArgumentPa... | code_fim | hard | {
"lang": "python",
"repo": "Autonomous-Vehicle/decentralized_bottlenecks",
"path": "/flow/visualize/visualizer_rllib.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>moving = sitk.ReadImage(
'C:users/zengxiao/Desktop/ImageProcess/lena10.jpg',
sitk.sitkFloat32)
matcher = sitk.HistogramMatchingImageFilter()
matcher.SetNumberOfHistogramLevels(1024)
matcher.SetNumberOfMatchPoints(7)
matcher.ThresholdAtMeanIntensityOn()
moving = matcher.Execute(moving, fixed)
dem... | code_fim | medium | {
"lang": "python",
"repo": "jiyeqian/MedImg_Py_Library",
"path": "/demo/ch6_Demons_ImDeform&Reg_demo .py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>resampler = sitk.ResampleImageFilter()
resampler.SetReferenceImage(fixed)
resampler.SetInterpolator(sitk.sitkLinear)
resampler.SetDefaultPixelValue(100)
resampler.SetTransform(outTx)
out = resampler.Execute(moving)
simg1 = sitk.Cast(sitk.RescaleIntensity(fixed), sitk.sitkUInt8)
simg2 = sitk.Cast(sitk.Res... | code_fim | hard | {
"lang": "python",
"repo": "jiyeqian/MedImg_Py_Library",
"path": "/demo/ch6_Demons_ImDeform&Reg_demo .py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jiyeqian/MedImg_Py_Library path: /demo/ch6_Demons_ImDeform&Reg_demo .py
"""
Script Name :zx_homework_1228
Author :zx
Created on :2017/12/28
Last Modified :2017/12/28
Version :1.0
Modifications :zx
Description :Demons图像变形配准
"""
from __future__ import print_function
import Simp... | code_fim | hard | {
"lang": "python",
"repo": "jiyeqian/MedImg_Py_Library",
"path": "/demo/ch6_Demons_ImDeform&Reg_demo .py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: unisunis/Expanda path: /src/expanda/__init__.py
import re
import os
import math
import shutil
import argparse
from configparser import ConfigParser
from .extension import Extension
from .shuffling import shuffle
from .tokenization import train_tokenizer, tokenize_corpus
from typing import List
fr... | code_fim | hard | {
"lang": "python",
"repo": "unisunis/Expanda",
"path": "/src/expanda/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Remove temporary directory.
print('[*] remove temporary directory.')
shutil.rmtree(temporary)
print('[*] finish building corpus.')
def _main():
parser = argparse.ArgumentParser(
prog='expanda',
description='Expanda - A universal integrated corpus generator')
su... | code_fim | hard | {
"lang": "python",
"repo": "unisunis/Expanda",
"path": "/src/expanda/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>from . import buck
if __name__ == '__main__':
buck.main()<|fim_prefix|># repo: MMeunierSide/buck path: /python-dsl/buck_parser/__main__.py
"""Main module for running this tool standalone.
When buck invokes this tool it generates its own main module.
"""
<|fim_middle|>from __future__ import absolut... | code_fim | medium | {
"lang": "python",
"repo": "MMeunierSide/buck",
"path": "/python-dsl/buck_parser/__main__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MMeunierSide/buck path: /python-dsl/buck_parser/__main__.py
"""Main module for running this tool standalone.
When buck invokes this tool it generates its own main module.
"""
<|fim_suffix|>if __name__ == '__main__':
buck.main()<|fim_middle|>from __future__ import absolute_import
from __futu... | code_fim | medium | {
"lang": "python",
"repo": "MMeunierSide/buck",
"path": "/python-dsl/buck_parser/__main__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cha63506/gd path: /gd/tests/test_parser.py
from datetime import datetime, date, time
import unittest
from pretend import stub
from gd import parser
class Test_get_game(unittest.TestCase):
"""Test the gd.parser.get_game function."""
def test_get_game(self):
expected = {"local_... | code_fim | hard | {
"lang": "python",
"repo": "cha63506/gd",
"path": "/gd/tests/test_parser.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> tree = stub(find=lambda arg: None)
self.assertRaisesRegex(Exception, "Did not find a stadium.",
parser.get_stadium, tree)
class Test_get_actions(unittest.TestCase):
"""Test the gd.parser.get_actions function."""
def test_get_actions(self):
... | code_fim | hard | {
"lang": "python",
"repo": "cha63506/gd",
"path": "/gd/tests/test_parser.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Test the gd.parser.get_actions function."""
def test_get_actions(self):
input_value = {"tfs": "123456",
"tfs_zulu": "2014-07-19T23:12:35Z",
"id": "987654"}
value = stub(attrib=input_value)
tree = stub(findall=lambda arg: [va... | code_fim | hard | {
"lang": "python",
"repo": "cha63506/gd",
"path": "/gd/tests/test_parser.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for vid in all_videos:
cl = vid.split("/")[-2]
video = basename(vid).split(".")[0]
# creating a folder to store the frames of the video
if not exists("frames/" + cl + "/" + video):
os.mkdir("frames/" + cl + "/" + video)
# Taking the frames ..
cmnd = "ffmpeg -i "+ ... | code_fim | hard | {
"lang": "python",
"repo": "marcostx/BatCNN",
"path": "/extract_frames.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # creating a folder to store the frames of the video
if not exists("frames/" + cl + "/" + video):
os.mkdir("frames/" + cl + "/" + video)
# Taking the frames ..
cmnd = "ffmpeg -i "+ vid +" -vf fps=30 frames/" + cl + "/"+ video + "/"+ video +".%04d.jpg"
os.system(cmn... | code_fim | hard | {
"lang": "python",
"repo": "marcostx/BatCNN",
"path": "/extract_frames.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: marcostx/BatCNN path: /extract_frames.py
from glob import glob
import os
from os.path import basename, join, exists
targetFolder = "frames"
all_classes = []
all_videos = []
<|fim_suffix|> # creating a folder to store the frames of the video
if not exists("frames/" + cl + "/" + video):
... | code_fim | hard | {
"lang": "python",
"repo": "marcostx/BatCNN",
"path": "/extract_frames.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> aggregator = dd_agent_check(rate=True)
for metric in legacy_common.AGENT_DEFAULT_METRICS + legacy_common.OPERATOR_METRICS:
aggregator.assert_metric(metric)<|fim_prefix|># repo: DataDog/integrations-core path: /cilium/tests/legacy/test_e2e.py
# (C) Datadog, Inc. 2021-present
# All rights r... | code_fim | easy | {
"lang": "python",
"repo": "DataDog/integrations-core",
"path": "/cilium/tests/legacy/test_e2e.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DataDog/integrations-core path: /cilium/tests/legacy/test_e2e.py
# (C) Datadog, Inc. 2021-present
# All rights reserved
# Licensed under a 3-clause BSD style license (see LICENSE)
<|fim_suffix|>pytestmark = [common.requires_legacy_environment]
@pytest.mark.e2e
def test_check_ok(dd_agent_check)... | code_fim | medium | {
"lang": "python",
"repo": "DataDog/integrations-core",
"path": "/cilium/tests/legacy/test_e2e.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tskit-dev/tskit path: /python/tests/test_utilities.py
# MIT License
#
# Copyright (c) 2019-2022 Tskit Developers
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software witho... | code_fim | hard | {
"lang": "python",
"repo": "tskit-dev/tskit",
"path": "/python/tests/test_utilities.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ts = msprime.simulate(50, random_seed=1)
ts = ts.decapitate(np.max(ts.tables.nodes.time) / 2)
ts = tsutil.jukes_cantor(ts, 5, 2, seed=2)
self.verify(ts)
def test_silent_mutations(self):
ts = msprime.simulate(50, random_seed=1)
ts = tsutil.jukes_cantor(t... | code_fim | hard | {
"lang": "python",
"repo": "tskit-dev/tskit",
"path": "/python/tests/test_utilities.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def reconnect():
c.set_callback(sub_cb)
c.connect()
publish_payload(STATE_TOPIC, STATE)
publish_payload(BRIGHTNESS_STATE_TOPIC, 0)
publish_payload(RGB_STATE_TOPIC, LIGHT_STATE)
publish_payload(KILL_STATE_TOPIC, "alive")
c.subscribe(COMMAND_TOPIC)
c.subscribe(BRIGHTNESS_COMM... | code_fim | hard | {
"lang": "python",
"repo": "Sakartu/esp_mqtt_ledstrip",
"path": "/mlight.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Sakartu/esp_mqtt_ledstrip path: /mlight.py
from hsv_to_rgb import hsv_to_rgb as htr
from rgb_to_hsv import rgb_to_hsv as rth
from simple import MQTTClient
from neopixel import NeoPixel
from machine import Pin
from time import sleep
from sys import exit
import ubinascii
import machine
import netwo... | code_fim | hard | {
"lang": "python",
"repo": "Sakartu/esp_mqtt_ledstrip",
"path": "/mlight.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ramen-Shaman/Reco-PC-Server path: /modules/restart_module.py
# Module: restart
# Description: Restarts system
# Usage: !restart or !restart secondsToRestart
# Dependencies: time, os
import time, os, asyncio, configs
<|fim_suffix|> if minutes != 0:
await asyncio.slee... | code_fim | hard | {
"lang": "python",
"repo": "Ramen-Shaman/Reco-PC-Server",
"path": "/modules/restart_module.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if minutes != 0:
await asyncio.sleep(minutes)
os.system("reboot")
else:
await ctx.send("Can't restart system.")
await asyncio.sleep(3)<|fim_prefix|># repo: Ramen-Shaman/Reco-PC-Server path: /modules/restart_module.py
# Module: restart
# Description: R... | code_fim | hard | {
"lang": "python",
"repo": "Ramen-Shaman/Reco-PC-Server",
"path": "/modules/restart_module.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> os.system("Shutdown.exe -r -t {0}".format(minutes))
elif configs.operating_sys == "Linux":
minutes=minutes*60
if minutes != 0:
await asyncio.sleep(minutes)
os.system("reboot")
else:
await ctx.send("Can't restart system.")
await ... | code_fim | medium | {
"lang": "python",
"repo": "Ramen-Shaman/Reco-PC-Server",
"path": "/modules/restart_module.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gwk/pithy path: /pithy/tree.py
# Dedicated to the public domain under CC0: https://creativecommons.org/publicdomain/zero/1.0/.
from types import GeneratorType
from typing import Callable, Generator, Iterable, Iterator, Protocol, TypeVar, Union
from .exceptions import OmitNode
from .iterable imp... | code_fim | medium | {
"lang": "python",
"repo": "gwk/pithy",
"path": "/pithy/tree.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def transform_tree(root:_T, get_children:_GetChildrenFn[_T], visit:_TransformVisitor[_T, _R]) -> _R:
'''
`transform_tree` visits nodes, leaves-first, with the `visit` function,
thereby generating a transformed tree.
The `visit` function takes three parameters:
* node: the current node.
* sta... | code_fim | medium | {
"lang": "python",
"repo": "gwk/pithy",
"path": "/pithy/tree.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>rowser()
# # vr_controller = pyosirix.frontmost_vr_controller()
# viewer_controller = pyosirix.frontmost_viewer()
# print(viewer_controller.modality)
# print(viewer_controller.cur_dcm().source_file)<|fim_prefix|># repo: timothy22000/pyosirix path: /osirix/test_package.py
# from testpyosir... | code_fim | hard | {
"lang": "python",
"repo": "timothy22000/pyosirix",
"path": "/osirix/test_package.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: timothy22000/pyosirix path: /osirix/test_package.py
# from testpyosirix import Osirix, OsirixService
# from testpyosirix import Osirix
# import sys
# print(sys.path)
# sys.path.append("/Users/admintmun/.pyenv/versions/3.7.8/envs/test/lib/python3.7/site-packages")
if<|fim_suffix|>rowser()
# # ... | code_fim | hard | {
"lang": "python",
"repo": "timothy22000/pyosirix",
"path": "/osirix/test_package.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> 1024 * 1024)]
#
# osirix_service = OsirixService(channel_opt=channel_opt, domain=domain, port=port).get_service()
# pyosirix = Osirix(osirix_service)
#
# browser_controller = pyosirix.current_browser()
# # vr_controller = pyosirix.frontmost_vr_controller()
# viewer_controller ... | code_fim | hard | {
"lang": "python",
"repo": "timothy22000/pyosirix",
"path": "/osirix/test_package.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sathoune/typer-oo-example path: /typer_example/main_menu.py
import typer
from typer_example.tournament_menu import TournamentMenu
class MainMenu:
<|fim_suffix|> def print_menu(self):
number = typer.style("1. ", bold=True)
typer.echo(number + "Tournois")
number = typer... | code_fim | hard | {
"lang": "python",
"repo": "sathoune/typer-oo-example",
"path": "/typer_example/main_menu.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> number = typer.style("1. ", bold=True)
typer.echo(number + "Tournois")
number = typer.style("2. ", bold=True)
typer.echo(number + "Gérer les joueurs")
def user_selection(self):
selection = typer.prompt("Entrez votre sélection: ")
typer.echo("\n")
... | code_fim | hard | {
"lang": "python",
"repo": "sathoune/typer-oo-example",
"path": "/typer_example/main_menu.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ort ExoTransmitOpacity
from .opacity import Opacity<|fim_prefix|># repo: ucl-exoplanets/TauREx3_public path: /taurex/opacity/__init__.py
from .pickleopacity import PickleOpacity
from .interpolateopacity import InterpolatingOpacity
from .h<|fim_middle|>df5opacity import HDF5Opacity
from .exotransmit imp | code_fim | easy | {
"lang": "python",
"repo": "ucl-exoplanets/TauREx3_public",
"path": "/taurex/opacity/__init__.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ucl-exoplanets/TauREx3_public path: /taurex/opacity/__init__.py
from .pickleopacity import PickleOpacity
from .int<|fim_suffix|>ort ExoTransmitOpacity
from .opacity import Opacity<|fim_middle|>erpolateopacity import InterpolatingOpacity
from .hdf5opacity import HDF5Opacity
from .exotransmit imp | code_fim | medium | {
"lang": "python",
"repo": "ucl-exoplanets/TauREx3_public",
"path": "/taurex/opacity/__init__.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: broadinstitute/CellBender path: /cellbender/remove_background/tests/test_estimation.py
"""Test functions in estimation.py"""
import pandas as pd
import pytest
import scipy.sparse as sp
import numpy as np
import torch
from cellbender.remove_background.estimation import Mean, MAP, \
SingleSamp... | code_fim | hard | {
"lang": "python",
"repo": "broadinstitute/CellBender",
"path": "/cellbender/remove_background/tests/test_estimation.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Test the mean estimator"""
def _add_offsets_to_truth(truth: np.ndarray, offset_dict: Dict[int, int]):
return truth + np.array([offset_dict.get(m, 0) for m in range(len(truth))])
offset_dict = log_prob_coo['offsets']
# the input
print(log_prob_coo)
print('input log pro... | code_fim | hard | {
"lang": "python",
"repo": "broadinstitute/CellBender",
"path": "/cellbender/remove_background/tests/test_estimation.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # test
np.testing.assert_array_equal(out_per_m, log_prob_coo['cdfs'])
@pytest.mark.parametrize('n_chunks, parallel_compute',
([1, False],
[2, False],
[2, True]), ids=['1chunk', '2chunks_1cpu', '2chunks_parallel'])
@pyte... | code_fim | hard | {
"lang": "python",
"repo": "broadinstitute/CellBender",
"path": "/cellbender/remove_background/tests/test_estimation.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: L1nkZ/Bourgeon path: /examples/autopot.py
import json
from enum import IntEnum
from typing import List, Dict, Any
import bourgeon
import ragnarok_client as client
from bourgeon import ui
from ragnarok_client import Mode
class Configuration:
def __init__(self, path: str):
with open(... | code_fim | hard | {
"lang": "python",
"repo": "L1nkZ/Bourgeon",
"path": "/examples/autopot.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def on_mode_switch(mode_type: Mode, _map_name: str) -> None:
"""
OnModeSwitch callback.
"""
global current_mode
current_mode = mode_type
def on_tick() -> None:
"""
OnTick callback.
"""
global ap_window
ap_window.handle_messages()
if current_mode == Mode.Game ... | code_fim | hard | {
"lang": "python",
"repo": "L1nkZ/Bourgeon",
"path": "/examples/autopot.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> data = self.reshape_array(input_data)
self.k_means.fit(data)
print('Training Labels : ', self.k_means.labels_)
def predict(self, input_data, replays):
i = 0
data = self.reshape_array(input_data)
prediction = self.k_means.predict(data)
build_dict... | code_fim | hard | {
"lang": "python",
"repo": "loginn/sc2-build-classifier",
"path": "/Clustering.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for p in prediction:
build_dict.append((p, replays[i]))
i += 1
return build_dict<|fim_prefix|># repo: loginn/sc2-build-classifier path: /Clustering.py
import numpy
from sklearn.cluster import KMeans
class Clustering:
def __init__(self, k=5):
self.k = ... | code_fim | medium | {
"lang": "python",
"repo": "loginn/sc2-build-classifier",
"path": "/Clustering.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: loginn/sc2-build-classifier path: /Clustering.py
import numpy
from sklearn.cluster import KMeans
class Clustering:
def __init__(self, k=5):
self.k = k
self.k_means = KMeans(n_clusters=self.k)
def reshape_array(self, input_data):
data = numpy.asarray(input_data)
... | code_fim | medium | {
"lang": "python",
"repo": "loginn/sc2-build-classifier",
"path": "/Clustering.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DmitryCS/model_server path: /example_client/image_transformation_client.py
#
# Copyright (c) 2021 Intel Corporation
#
# 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
#
# ... | code_fim | hard | {
"lang": "python",
"repo": "DmitryCS/model_server",
"path": "/example_client/image_transformation_client.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> channels = cv2.split(img)
number_of_channels = img.shape[-1]
if len(values) != number_of_channels:
print('mean values must match number of channels')
exit(1)
i = 0
for i in range(number_of_channels):
channels[i] -= values[i]
img = cv2.merge(channels)
img... | code_fim | hard | {
"lang": "python",
"repo": "DmitryCS/model_server",
"path": "/example_client/image_transformation_client.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if args['mean_values']:
img = mean(img, args['mean_values'])
if layout == 'NCHW':
h, w, c = img.shape
img = img.transpose(2,0,1).reshape(1, c, h, w)
else:
img = img.reshape(1, img.shape[0], img.shape[1], img.shape[2])
request.inputs[name].CopyFrom(make_ten... | code_fim | hard | {
"lang": "python",
"repo": "DmitryCS/model_server",
"path": "/example_client/image_transformation_client.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: theRealSuperMario/tikzplotlib path: /test/test_image_plot_lower.py
import matplotlib.pyplot as plt
from helpers import assert_equality
# the picture 'lena.png' with origin='lower' is flipped upside-down.
# So it has to be upside-down in the pdf-file as well.
<|fim_suffix|>
def test():
asse... | code_fim | hard | {
"lang": "python",
"repo": "theRealSuperMario/tikzplotlib",
"path": "/test/test_image_plot_lower.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test():
assert_equality(plot, "test_image_plot_lower_reference.tex")
return<|fim_prefix|># repo: theRealSuperMario/tikzplotlib path: /test/test_image_plot_lower.py
import matplotlib.pyplot as plt
from helpers import assert_equality
# the picture 'lena.png' with origin='lower' is flipped ups... | code_fim | hard | {
"lang": "python",
"repo": "theRealSuperMario/tikzplotlib",
"path": "/test/test_image_plot_lower.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test():
assert_equality(plot, "test_image_plot_lower_reference.tex")
return<|fim_prefix|># repo: theRealSuperMario/tikzplotlib path: /test/test_image_plot_lower.py
import matplotlib.pyplot as plt
from helpers import assert_equality
# the picture 'lena.png' with origin='lower' is flipped upsi... | code_fim | hard | {
"lang": "python",
"repo": "theRealSuperMario/tikzplotlib",
"path": "/test/test_image_plot_lower.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> publishForceCmd([0,10,0,0,0,0])
#test joint srv - move robot to 180 pos
if (interactive == True):
nb = raw_input('Moving robot to candle like position, press key')
result = joint_position_client([180]*7)
#test joint velocity control
if (interactive == True):
nb = raw_input... | code_fim | hard | {
"lang": "python",
"repo": "Wang-Ruohan/kinova-ros-self",
"path": "/fake_pub/scripts/testActionsvr.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Wang-Ruohan/kinova-ros-self path: /fake_pub/scripts/testActionsvr.py
#! /usr/bin/env python
"""A test program to test action servers for the JACO and MICO arms."""
import roslib; roslib.load_manifest('kinova_demo')
import rospy
import actionlib
import kinova_msgs.msg
import geometry_msgs.msg
impo... | code_fim | hard | {
"lang": "python",
"repo": "Wang-Ruohan/kinova-ros-self",
"path": "/fake_pub/scripts/testActionsvr.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def publishCatesianVelocityCommands(cartVel):
topic_name = '/' + prefix + 'driver/in/cartesian_velocity'
#publish joint torque commands
pub = rospy.Publisher(topic_name, kinova_msgs.msg.PoseVelocity, queue_size=1)
poseVelCmd = kinova_msgs.msg.PoseVelocity()
poseVelCmd.twist_linear_x = cartVel[0]
pos... | code_fim | hard | {
"lang": "python",
"repo": "Wang-Ruohan/kinova-ros-self",
"path": "/fake_pub/scripts/testActionsvr.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|># Driver code
if __name__ == "__main__":
print("1) Enter 1 to ADD a HOST:\n2) Enter 2 to ADD a TASK:")
choice = int(input("Enter choice:"))
if choice==1:
conn = sqlite3.connect("/home/knife/MyPlaxonicWork/youtube-viewer/server.db")
cur = conn.cursor()
add_client()
... | code_fim | hard | {
"lang": "python",
"repo": "Akash-chowrasia/Viveedh",
"path": "/database/add_data_to_database.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Akash-chowrasia/Viveedh path: /database/add_data_to_database.py
'''
This module adds data to databse by asking to
the server operator from console.
'''
import sqlite3
import csv
def add_client():
'''
This function add's new host data to
client's table.
'''
num... | code_fim | medium | {
"lang": "python",
"repo": "Akash-chowrasia/Viveedh",
"path": "/database/add_data_to_database.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: marcomusy/vedo path: /examples/basic/tube_radii.py
"""Use array to vary radius and color
of a line represented as a tube"""
from vedo import *
<|fim_suffix|>############################### a simple tube( along ln
t1 = Tube(ln, c="blue", r=0.08)
############################### vary radius
rads =... | code_fim | medium | {
"lang": "python",
"repo": "marcomusy/vedo",
"path": "/examples/basic/tube_radii.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>############################### vary color
cols = list(range(N))
cols = make_bands(cols, 5) # make color bins
t3 = Tube(ln, r=rads, c=cols, res=24)
############################### visualize
plt = Plotter(N=3, axes=dict(text_scale=4))
plt.at(0).show(t1, __doc__)
plt.at(1).show(t2)
plt.at(2).show(t3, view... | code_fim | hard | {
"lang": "python",
"repo": "marcomusy/vedo",
"path": "/examples/basic/tube_radii.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>############################### vary radius
rads = [0.3*(cos(6.0*ir/N))**2+0.1 for ir in range(N)]
t2 = Tube(ln, r=rads, c="tomato", res=24)
############################### vary color
cols = list(range(N))
cols = make_bands(cols, 5) # make color bins
t3 = Tube(ln, r=rads, c=cols, res=24)
##############... | code_fim | medium | {
"lang": "python",
"repo": "marcomusy/vedo",
"path": "/examples/basic/tube_radii.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> template_name = 'user/userlist.html'
model = User
paginate_by = 8<|fim_prefix|># repo: mingziV5/opsweb_test path: /accounts/user/__init__.py
from django.views.generic import ListView
from django.contrib.auth.models import User
from django.contrib.auth.mixins import LoginRequiredMixin
from . i... | code_fim | easy | {
"lang": "python",
"repo": "mingziV5/opsweb_test",
"path": "/accounts/user/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mingziV5/opsweb_test path: /accounts/user/__init__.py
from django.views.generic import ListView
from django.contrib.auth.models import User
from django.contrib.auth.mixins import LoginRequiredMixin
from . import views
<|fim_suffix|> template_name = 'user/userlist.html'
model = User
pa... | code_fim | easy | {
"lang": "python",
"repo": "mingziV5/opsweb_test",
"path": "/accounts/user/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SaiSakethAluru/DE-LIMIT path: /CNN_GRU/Models/model.py
import torch
import torch.nn as nn
import numpy as np
def global_max_pooling(tensor, dim, topk):
"""Global max pooling"""
ret, _ = torch.topk(tensor, topk, dim)
return ret
<|fim_suffix|> super(CNN_GRU, self).__init__()
... | code_fim | medium | {
"lang": "python",
"repo": "SaiSakethAluru/DE-LIMIT",
"path": "/CNN_GRU/Models/model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if labels is not None:
loss_fct = nn.CrossEntropyLoss(weight=torch.tensor(self.weights).cuda())
loss = loss_fct(output.view(-1, self.num_labels), labels.view(-1))
return loss,output
return output<|fim_prefix|># repo: SaiSakethAluru/DE-LIMIT path: /CNN_GRU/Models... | code_fim | hard | {
"lang": "python",
"repo": "SaiSakethAluru/DE-LIMIT",
"path": "/CNN_GRU/Models/model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Return geometries of two element grid."""
grid = bempp.api.shapes.cube(h=0.5)
space = bempp.api.function_space(grid, *space_type)
function = bempp.api.GridFunction(
space, coefficients=np.random.rand(space.global_dof_count)
)
bempp.api.export(os.path.join(folder, filenam... | code_fim | hard | {
"lang": "python",
"repo": "chenglong92/bempp-cl",
"path": "/test/unit/space/test_function_io.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> space, coefficients=np.random.rand(space.global_dof_count)
)
bempp.api.export(os.path.join(folder, filename), grid_function=function)<|fim_prefix|># repo: chenglong92/bempp-cl path: /test/unit/space/test_function_io.py
"""Unit tests for function io."""
import os
import pytest
import bemp... | code_fim | hard | {
"lang": "python",
"repo": "chenglong92/bempp-cl",
"path": "/test/unit/space/test_function_io.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chenglong92/bempp-cl path: /test/unit/space/test_function_io.py
"""Unit tests for function io."""
import os
import pytest
import bempp.api
import numpy as np
<|fim_suffix|> """Return geometries of two element grid."""
grid = bempp.api.shapes.cube(h=0.5)
space = bempp.api.function_spa... | code_fim | hard | {
"lang": "python",
"repo": "chenglong92/bempp-cl",
"path": "/test/unit/space/test_function_io.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bobort/cheese path: /drill/admin.py
from django.contrib import admin
from django import forms
from drill.models import DrillTopic, Question, DrillTracking
def process_qa(topic, qas):
""" The qas string is delimited as so:
The first line is 5 pipes: |||||
After that is the question ... | code_fim | medium | {
"lang": "python",
"repo": "bobort/cheese",
"path": "/drill/admin.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class DrillAdmin(admin.ModelAdmin):
model = DrillTopic
form = DrillModelForm
search_fields = ('name', )
ordering = ('name',)
admin.site.register(DrillTopic, DrillAdmin)
admin.site.register(Question)
admin.site.register(DrillTracking)<|fim_prefix|># repo: bobort/cheese path: /drill/admin... | code_fim | medium | {
"lang": "python",
"repo": "bobort/cheese",
"path": "/drill/admin.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class DrillAdmin(admin.ModelAdmin):
model = DrillTopic
form = DrillModelForm
search_fields = ('name', )
ordering = ('name',)
admin.site.register(DrillTopic, DrillAdmin)
admin.site.register(Question)
admin.site.register(DrillTracking)<|fim_prefix|># repo: bobort/cheese path: /drill/admi... | code_fim | hard | {
"lang": "python",
"repo": "bobort/cheese",
"path": "/drill/admin.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with detection_graph.as_default():
with tf.Session(graph=detection_graph) as sess:
for image_path in UN_PROCESS_IMAGE_PATHS:
if not image_path.__contains__(".jpg"):
continue;
image = Image.open(image_path)
image_np... | code_fim | hard | {
"lang": "python",
"repo": "meepo8th/models",
"path": "/object_detection/detection_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: meepo8th/models path: /object_detection/detection_test.py
import os
import shutil
import numpy as np
import tensorflow as tf
import time
from PIL import Image
from matplotlib import pyplot as plt
import pylab
from object_detection.utils import visualization_utils as vis_util
from object_detectio... | code_fim | hard | {
"lang": "python",
"repo": "meepo8th/models",
"path": "/object_detection/detection_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def detect(UN_PROCESS_IMAGE_PATHS):
with detection_graph.as_default():
with tf.Session(graph=detection_graph) as sess:
for image_path in UN_PROCESS_IMAGE_PATHS:
if not image_path.__contains__(".jpg"):
continue;
image = Image.open... | code_fim | hard | {
"lang": "python",
"repo": "meepo8th/models",
"path": "/object_detection/detection_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Create a new kubernetes job to run IPED"""
try:
image = api.payload['image']
IPEDJAR = api.payload['IPEDJAR']
EVIDENCE_PATH = api.payload['EVIDENCE_PATH']
OUTPUT_PATH = api.payload['OUTPUT_PATH']
IPE... | code_fim | hard | {
"lang": "python",
"repo": "setecrs/iped_jobs",
"path": "/iped_jobs/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: setecrs/iped_jobs path: /iped_jobs/app.py
#!/usr/bin/env python3
import os
import http
import logging
from flask import Flask, make_response, request
from flask_restplus import Resource, Api, fields
from werkzeug.exceptions import BadRequest
from .k8s import K8s
DEBUG = ('DEBUG' in os.environ)... | code_fim | hard | {
"lang": "python",
"repo": "setecrs/iped_jobs",
"path": "/iped_jobs/app.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
print 'factorial of the the 10 first natural numbers\n'
for i in xrange(1, 11,1):
print 'factorial %d = %d'% (i, factorial(i))<|fim_prefix|># repo: junteudjio/algorithms_in_python path: /algorithms_in_python/_4_recursion/examples/factorial.py
__author__ = 'Junio... | code_fim | medium | {
"lang": "python",
"repo": "junteudjio/algorithms_in_python",
"path": "/algorithms_in_python/_4_recursion/examples/factorial.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: junteudjio/algorithms_in_python path: /algorithms_in_python/_4_recursion/examples/factorial.py
__author__ = 'Junior Teudjio'
def factorial(n):
<|fim_suffix|>
if __name__ == '__main__':
print 'factorial of the the 10 first natural numbers\n'
for i in xrange(1, 11,1):
print 'factor... | code_fim | medium | {
"lang": "python",
"repo": "junteudjio/algorithms_in_python",
"path": "/algorithms_in_python/_4_recursion/examples/factorial.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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