text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>def download():
"""
allows downloading of uploaded files
http://..../[app]/default/download/[filename]
"""
return response.download(request,db)
def call():
"""
exposes services. for example:
http://..../[app]/default/call/jsonrpc
decorate with @services.jsonrpc the fu... | code_fim | hard | {
"lang": "python",
"repo": "ykanggit/web2py-appliances",
"path": "/RadioScheduleLogs/controllers/default.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>@auth.requires_login()
def show_program():
program_id=request.args(0)
db.music.program.default=program_id
db.music.program.writable=db.music.program.readable=False
form=crud.create(db.music)
table=plugin_jqgrid(db.music,'program',program_id,columns=['id','name','file','date_onair'],
... | code_fim | hard | {
"lang": "python",
"repo": "ykanggit/web2py-appliances",
"path": "/RadioScheduleLogs/controllers/default.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: david-deboer/radiobear path: /radiobear/atm_base.py
# -*- mode: python; coding: utf-8 -*-
"""Base class for atmosphere."""
# Copyright 2018 David DeBoer
# Licensed under the 2-clause BSD license.
import numpy as np
import os
import sys
# ##local imports
from . import utils
from . import chemistr... | code_fim | hard | {
"lang": "python",
"repo": "david-deboer/radiobear",
"path": "/radiobear/atm_base.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.gas = np.array(self.gas)
# ## Check that P is monotonically increasing
monotonic = np.all(np.diff(self.gas[self.config.C['P']]) > 0.0)
if not monotonic:
self.gas = np.fliplr(self.gas)
monotonic = np.all(np.diff(self.gas[self.config.C['P']]) > 0.... | code_fim | hard | {
"lang": "python",
"repo": "david-deboer/radiobear",
"path": "/radiobear/atm_base.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Compute derived atmospheric properties (makes self.property)."""
self.chem = {}
for key in self.config.C:
if key in ['P', 'T', 'Z', 'DZ']:
continue
self.chem[key] = chemistry.ConstituentProperties(key)
# nAtm = len(self.gas[self.c... | code_fim | hard | {
"lang": "python",
"repo": "david-deboer/radiobear",
"path": "/radiobear/atm_base.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, crop_window_size, label_scaler, text_terms_mapper, text_b_template):
text_provider = BaseSingleTextProvider(text_terms_mapper=text_terms_mapper) \
if text_b_template is None else PairTextProvider(text_b_prompt=text_b_template,
... | code_fim | hard | {
"lang": "python",
"repo": "nicolay-r/AREkit",
"path": "/arekit/contrib/bert/input/providers/cropped_sample.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nicolay-r/AREkit path: /arekit/contrib/bert/input/providers/cropped_sample.py
from arekit.common.data.input.providers.sample.cropped import CroppedSampleRowProvider
from arekit.common.data.input.providers.text.single import BaseSingleTextProvider
from arekit.contrib.bert.input.providers.text_pair... | code_fim | hard | {
"lang": "python",
"repo": "nicolay-r/AREkit",
"path": "/arekit/contrib/bert/input/providers/cropped_sample.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>timeA = int(input("Enter hours for Person A completes the task: "))
timeB = int(input("Enter hours for Person B completes the task: "))
print("Person A completes the task in {} hours".format(timeA))
print("Person B completes the task in {} hours".format(timeB))
total_time =round(time_work_together(timeA,... | code_fim | medium | {
"lang": "python",
"repo": "syedwaleedhyder/Freelance_Projects",
"path": "/QuantitativeSkillsForBusiness_FinalProject/Task4_WorkTogether.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> rateA = 1/timeA
rateB = 1/timeB
rate_total = rateA + rateB
time_total = 1/rate_total
return time_total
timeA = int(input("Enter hours for Person A completes the task: "))
timeB = int(input("Enter hours for Person B completes the task: "))
print("Person A completes the task in {}... | code_fim | medium | {
"lang": "python",
"repo": "syedwaleedhyder/Freelance_Projects",
"path": "/QuantitativeSkillsForBusiness_FinalProject/Task4_WorkTogether.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: syedwaleedhyder/Freelance_Projects path: /QuantitativeSkillsForBusiness_FinalProject/Task4_WorkTogether.py
# -*- coding: utf-8 -*-
"""
Created on Sat Apr 20 23:39:43 2019
@author: Syed Waleed Hyder
"""
<|fim_suffix|> return time_total
timeA = int(input("Enter hours for Person A completes th... | code_fim | medium | {
"lang": "python",
"repo": "syedwaleedhyder/Freelance_Projects",
"path": "/QuantitativeSkillsForBusiness_FinalProject/Task4_WorkTogether.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TurboGears/gearbox path: /gearbox/utils/copydir.py
# (c) 2005 Ian Bicking and contributors; written for Paste
# (http://pythonpaste.org) Licensed under the MIT license:
# http://www.opensource.org/licenses/mit-license.php
import os
import pkg_resources
import sys
if sys.version_info[0] == 3: # ... | code_fim | hard | {
"lang": "python",
"repo": "TurboGears/gearbox",
"path": "/gearbox/utils/copydir.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Overridden on user's request:
all_answer = None
def query_interactive(src_fn, dest_fn, src_content, dest_content,
simulate, out_=sys.stdout):
def out(msg):
out_.write(msg)
out_.write('\n')
out_.flush()
global all_answer
from difflib import unifi... | code_fim | hard | {
"lang": "python",
"repo": "TurboGears/gearbox",
"path": "/gearbox/utils/copydir.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def makedirs(dir, verbosity, pad):
parent = os.path.dirname(os.path.abspath(dir))
if not os.path.exists(parent):
makedirs(parent, verbosity, pad)
os.mkdir(dir)
def substitute_filename(fn, vars):
for var, value in vars.items():
fn = fn.replace('+%s+' % var, str(value))
... | code_fim | hard | {
"lang": "python",
"repo": "TurboGears/gearbox",
"path": "/gearbox/utils/copydir.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_new_path(path, name):
if "\\" in path:
new_path = '{}\\{}'.format(path, name)
elif "/" in path:
new_path = '{}/{}'.format(path, name)
return new_path
def get_edited_filename(path):
new_path = ""
new_basename = ""
if os.path.exists(path):
if os.path.... | code_fim | hard | {
"lang": "python",
"repo": "open-pulse/OpenPulse",
"path": "/pulse/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: open-pulse/OpenPulse path: /pulse/utils.py
1]*A[:,2,2] + A[:,0,1]*A[:,1,2]*A[:,2,0] +
A[:,0,2]*A[:,1,0]*A[:,2,1] - A[:,0,2]*A[:,1,1]*A[:,2,0] -
A[:,0,1]*A[:,1,0]*A[:,2,2] - A[:,0,0]*A[:,1,2]*A[:,2,1] )
b11 = A[:,1,1]*A[:,2,2] - A[:,1,2]*A[:,2,1]
b12 = -( A[:,0,... | code_fim | hard | {
"lang": "python",
"repo": "open-pulse/OpenPulse",
"path": "/pulse/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Parameters
# ----------
# msg: str
# text to be displayed.
# title: str
# window title.
# '''
# msg_box = QMessageBox()
# msg_box.setWindowFlags(Qt.WindowStaysOnTopHint)
# # msg_box.setWindowModality(Qt.WindowModal)
# msg_box.setIcon(QMessageBox.Info... | code_fim | hard | {
"lang": "python",
"repo": "open-pulse/OpenPulse",
"path": "/pulse/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert get_calling_operator(2) is None
class MyOperator(BaseOperator):
def execute(self, context):
assert get_calling_operator(2) is self
test_fn()
operator = MyOperator(task_id='im-a-test')
assert not test_fn.called
... | code_fim | hard | {
"lang": "python",
"repo": "getsentry/airflow-metrics",
"path": "/tests/utils/test_fn_utils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: getsentry/airflow-metrics path: /tests/utils/test_fn_utils.py
from unittest import TestCase
from airflow.models import BaseOperator
from airflow_metrics.utils.fn_utils import once
from airflow_metrics.utils.fn_utils import get_calling_operator
from airflow_metrics.utils.fn_utils import get_loca... | code_fim | hard | {
"lang": "python",
"repo": "getsentry/airflow-metrics",
"path": "/tests/utils/test_fn_utils.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Verify cluster update result
cluster = utils.get_a_cluster(self, self.cluster_id)
self.assertEqual('ACTIVE', cluster['status'])
self.assertEqual(2, len(cluster['nodes']))
self.assertEqual(self.new_profile, cluster['profile_id'])<|fim_prefix|># repo: openstack/senl... | code_fim | hard | {
"lang": "python",
"repo": "openstack/senlin-tempest-plugin",
"path": "/senlin_tempest_plugin/tests/functional/test_batch_policy.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: openstack/senlin-tempest-plugin path: /senlin_tempest_plugin/tests/functional/test_batch_policy.py
# 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.apa... | code_fim | medium | {
"lang": "python",
"repo": "openstack/senlin-tempest-plugin",
"path": "/senlin_tempest_plugin/tests/functional/test_batch_policy.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_peek_invalid():
ll = DoublyLinkedList()
with pytest.raises(AssertionError):
ll.peek(0)
ll.insert(0, 0)
for i in range(-ITERS//2, ITERS//2+1):
if i == 0: continue
with pytest.raises(AssertionError):
ll.peek(i)
def test_insert_head():
ll = Do... | code_fim | hard | {
"lang": "python",
"repo": "Kiracorp/data-structures",
"path": "/tests/test_doubly_linked_list.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_pop_head(base_ll):
ll = base_ll
for expected in range(len(ll)):
actual = ll.pop_head()
assert(expected == actual)
assert(ll.is_empty())
def test_pop_tail(base_ll):
ll = base_ll
for expected in range(len(ll)-1, -1, -1):
actual = ll.pop_tail()
as... | code_fim | hard | {
"lang": "python",
"repo": "Kiracorp/data-structures",
"path": "/tests/test_doubly_linked_list.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Kiracorp/data-structures path: /tests/test_doubly_linked_list.py
from data_structures import DoublyLinkedList
from .parameters import *
import pytest, random
@pytest.fixture
def base_ll():
ll = DoublyLinkedList()
for i in range(ITERS):
ll.insert_tail(i)
return ll
def test_re... | code_fim | hard | {
"lang": "python",
"repo": "Kiracorp/data-structures",
"path": "/tests/test_doubly_linked_list.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Downloaded models:
- pos-multi: Part of speech (verb, noun, etc.), multiple languages (English, German, French,
Italian, Dutch, Polish, Spanish, Swedish, Danish, Norwegian, Finnish and Czech)
- ner: 4-class Named Entity Recognition, english model.
- sentiment-analysis: text classification, [po... | code_fim | hard | {
"lang": "python",
"repo": "Aituni/NLP-praktika",
"path": "/Tagger/transformer_tagging.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
"""
Downloaded models:
- pos-multi: Part of speech (verb, noun, etc.), multiple languages (English, German, French,
Italian, Dutch, Polish, Spanish, Swedish, Danish, Norwegian, Finnish and Czech)
- ner: 4-class Named Entity Recognition, english model.
- sentiment-analysis: text classification, [p... | code_fim | medium | {
"lang": "python",
"repo": "Aituni/NLP-praktika",
"path": "/Tagger/transformer_tagging.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Aituni/NLP-praktika path: /Tagger/transformer_tagging.py
# Source: https://github.com/huggingface/transformers/blob/master/notebooks/03-pipelines.ipynb
from transformers import pipeline
"""
This function put tags in the input text, using transformers, with the tagger model clas_type.
And wri... | code_fim | hard | {
"lang": "python",
"repo": "Aituni/NLP-praktika",
"path": "/Tagger/transformer_tagging.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Jem-alchemist/MicroPython path: /st7789py_mpy-master/test_st7789.py
# code for micropython 1.10 on esp8266
import random
import machine
import st7789py as st7789
import time
<|fim_suffix|> while True:
display.fill(
st7789.color565(
random.getrandbits(8),... | code_fim | hard | {
"lang": "python",
"repo": "Jem-alchemist/MicroPython",
"path": "/st7789py_mpy-master/test_st7789.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> spi = machine.SPI(1, baudrate=40000000, polarity=1)
display = st7789.ST7789(
spi, 240, 240,
reset=machine.Pin(5, machine.Pin.OUT),
dc=machine.Pin(2, machine.Pin.OUT),
)
display.init()
while True:
display.fill(
st7789.color565(
... | code_fim | medium | {
"lang": "python",
"repo": "Jem-alchemist/MicroPython",
"path": "/st7789py_mpy-master/test_st7789.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Bernardrouhi/PuppetMaster path: /puppetMaster/main.py
#!/usr/bin/python
from PySide2.QtCore import Qt
from PySide2.QtWidgets import (QWidget, QHBoxLayout)
from widgets.CustomeWidget import PuppetMaster
from core.mayaHelper import get_MayaWindow
TITLE = "Puppet Master v1.0.1"
<|fim_suffix|> ... | code_fim | medium | {
"lang": "python",
"repo": "Bernardrouhi/PuppetMaster",
"path": "/puppetMaster/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def findAndLoad(self, names=list()):
'''
Find the names in work folder and load them
Parameters
----------
names: (list)
List of dictionaries of name and namespace.
'''
if names:
self.pm.findAndLoad(names)
def closeE... | code_fim | hard | {
"lang": "python",
"repo": "Bernardrouhi/PuppetMaster",
"path": "/puppetMaster/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def force_load(self, paths=list()):
'''
Load list of .PII files
Parameters
----------
paths: (list)
List of .PII file.
'''
if paths:
self.pm.force_load(paths)
def findAndLoad(self, names=list()):
'''
... | code_fim | hard | {
"lang": "python",
"repo": "Bernardrouhi/PuppetMaster",
"path": "/puppetMaster/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, message_elements, op=None):
self.message += op + "|"
for string in message_elements:
self.message += str(string) + "|"
def get_message(self):
return self.message.encode()<|fim_prefix|># repo: jdiegoh3/distributed_computing path: /Projects/pr... | code_fim | hard | {
"lang": "python",
"repo": "jdiegoh3/distributed_computing",
"path": "/Projects/project2/lib/MyUtils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jdiegoh3/distributed_computing path: /Projects/project2/lib/MyUtils.py
import socket
class Elements(object):
def __init__(self, elements):
self.elements = elements
def add_element(self, id, process_info):
self.elements[id] = process_info
def remove_element(self, id)... | code_fim | hard | {
"lang": "python",
"repo": "jdiegoh3/distributed_computing",
"path": "/Projects/project2/lib/MyUtils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def send_message(host, port, message):
temporal_socket_instance = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
temporal_socket_instance.connect((host, port))
temporal_socket_instance.send(message)
result = temporal_socket_instance.recv(1024)
return result
class MessageBuilder(ob... | code_fim | hard | {
"lang": "python",
"repo": "jdiegoh3/distributed_computing",
"path": "/Projects/project2/lib/MyUtils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> sampleStr = ''.join((random.choice(string.ascii_letters) for i in range(lettersCount)))
sampleStr += ''.join((random.choice(string.digits) for i in range(digitsCount)))
sampleList = list(sampleStr)
random.shuffle(sampleList)
finalString = ''.join(sampleList)
return finalString
def... | code_fim | hard | {
"lang": "python",
"repo": "go8go/Dofus-Account-Generator",
"path": "/src/misc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not os.path.isfile(file):
ePrint("No such file : " + file)
exit(1)
return True<|fim_prefix|># repo: go8go/Dofus-Account-Generator path: /src/misc.py
import os
import sys
import json
import string
import random
import colorama
from colorama import Fore, Style
def ePrint(msg):
... | code_fim | medium | {
"lang": "python",
"repo": "go8go/Dofus-Account-Generator",
"path": "/src/misc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: go8go/Dofus-Account-Generator path: /src/misc.py
import os
import sys
import json
import string
import random
import colorama
from colorama import Fore, Style
def ePrint(msg):
<|fim_suffix|>def isFileExist(file):
if not os.path.isfile(file):
ePrint("No such file : " + file)
... | code_fim | hard | {
"lang": "python",
"repo": "go8go/Dofus-Account-Generator",
"path": "/src/misc.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #route_name = os.getenv('env_route_name')
#route_name = route_name.encode("utf-8")
route_name = wf.decode(os.getenv('env_route_name'))
log.debug("Created the route %s" % (route_name))
url = wf.decode(os.getenv('env_url'))
log.debug("Created the route %s" % (url))
start_id = find_route_id(url,... | code_fim | medium | {
"lang": "python",
"repo": "kimsyversen/Ruter-workflow-for-Alfred",
"path": "/src/create_route.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kimsyversen/Ruter-workflow-for-Alfred path: /src/create_route.py
# encoding: utf-8
from __future__ import unicode_literals, print_function
import datetime, sys, os
from workflow import Workflow, ICON_WEB, web
from Config import Config
def find_route_id(string, start_pattern, end_pattern):
sta... | code_fim | medium | {
"lang": "python",
"repo": "kimsyversen/Ruter-workflow-for-Alfred",
"path": "/src/create_route.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> c = Config()
routes = c.get_route()
#route_name = os.getenv('env_route_name')
#route_name = route_name.encode("utf-8")
route_name = wf.decode(os.getenv('env_route_name'))
log.debug("Created the route %s" % (route_name))
url = wf.decode(os.getenv('env_url'))
log.debug("Created the route %s" ... | code_fim | hard | {
"lang": "python",
"repo": "kimsyversen/Ruter-workflow-for-Alfred",
"path": "/src/create_route.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # by hour
kpis["busyness"]["by_hour"]["num_observables"] = int(
kpis["busyness"]["by_hour"]["num_observables"]
)
kpis["busyness"]["by_hour"]["hour_of_day"] = int(
kpis["busyness"]["by_hour"]["hour_of_day"]
)
kpis["busyness"]["by_hour"... | code_fim | hard | {
"lang": "python",
"repo": "aileenproject/aileen-core",
"path": "/aileen/data/api.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aileenproject/aileen-core path: /aileen/data/api.py
from django.http import JsonResponse
from django.http import HttpResponse
from data.models import SeenByHour
from data.queries import prepare_df_datetime_index
from data.queries import compute_kpis
def aggregations_by_box_id(request, box_id=N... | code_fim | hard | {
"lang": "python",
"repo": "aileenproject/aileen-core",
"path": "/aileen/data/api.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: UMKC-BigDataLab/DiSC path: /scripts/plot/get-ave-list-size.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Anas Katib
# May 19, 2017
#
# Usage: ./get-ave-list-size.py -h
import argparse
import sys
import time
def eprint(obj):
sys.stderr.write(obj)
sys.stderr.write('\n')
def main(args)... | code_fim | hard | {
"lang": "python",
"repo": "UMKC-BigDataLab/DiSC",
"path": "/scripts/plot/get-ave-list-size.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Rename the arguements' title. The default (i.e. positional arguments)
# is a bit confusing to users.
parser._positionals.title = "required arguments"
args = parser.parse_args()
main(args)<|fim_prefix|># repo: UMKC-BigDataLab/DiSC path: /scripts/plot/get-ave-list-size.py
#!/usr/bin/env python... | code_fim | hard | {
"lang": "python",
"repo": "UMKC-BigDataLab/DiSC",
"path": "/scripts/plot/get-ave-list-size.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> #eprint("Done in "+str(eTime - sTime) + 's' )
if __name__ == "__main__":
prog_desc = "The program reads DiSC visible families statistics file(s) and computes the avearge "\
"list size (i.e. the number of families) for all nodes."\
parser = argparse.ArgumentParser(description = prog_desc, add_... | code_fim | medium | {
"lang": "python",
"repo": "UMKC-BigDataLab/DiSC",
"path": "/scripts/plot/get-ave-list-size.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AddField(
model_name='pontoturistico',
name='review_list',
field=models.ManyToManyField(to='reviews.Review'),
),
]<|fim_prefix|># repo: mhiloca/TourismApi path: /core/migrations/0005_pontoturistico_review_list.py
# Gene... | code_fim | medium | {
"lang": "python",
"repo": "mhiloca/TourismApi",
"path": "/core/migrations/0005_pontoturistico_review_list.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mhiloca/TourismApi path: /core/migrations/0005_pontoturistico_review_list.py
# Generated by Django 2.2.5 on 2019-09-14 22:19
from django.db import migrations, models
<|fim_suffix|> operations = [
migrations.AddField(
model_name='pontoturistico',
name='review_l... | code_fim | medium | {
"lang": "python",
"repo": "mhiloca/TourismApi",
"path": "/core/migrations/0005_pontoturistico_review_list.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DeepCoin/counterpartyd path: /lib/send.py
#! /usr/bin/python3
"""Create and parse 'send'-type messages."""
import struct
import logging
from . import (util, config, exceptions, bitcoin, util)
FORMAT = '>QQ'
ID = 0
LENGTH = 8 + 8
def create (db, source, destination, amount, asset, test=False)... | code_fim | hard | {
"lang": "python",
"repo": "DeepCoin/counterpartyd",
"path": "/lib/send.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Debit.
if validity == 'Valid':
if not amount:
validity = 'Invalid: zero quantity.'
validity = util.debit(db, tx['source'], asset, amount)
# Credit.
if validity == 'Valid':
util.credit(db, tx['destination'], asset, amount)
# Add parsed transaction... | code_fim | hard | {
"lang": "python",
"repo": "DeepCoin/counterpartyd",
"path": "/lib/send.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Open-EO/openeo-sentinelhub-python-driver path: /rest/buckets/utils.py
import os
import warnings
from const import SentinelhubDeployments
from utils import get_env_var
from .results_bucket import ResultsBucket, CreodiasResultsBucket
BUCKET_NAMES = {
SentinelhubDeployments.MAIN: get_env_var(... | code_fim | hard | {
"lang": "python",
"repo": "Open-EO/openeo-sentinelhub-python-driver",
"path": "/rest/buckets/utils.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_bucket(deployment_endpoint):
bucket_name = BUCKET_NAMES[deployment_endpoint]
region_name = BUCKET_REGION_NAMES[deployment_endpoint]
endpoint_url = BUCKET_ENDPOINT_URLS[deployment_endpoint]
access_key_id = BUCKET_ACCESS_KEY_IDS[deployment_endpoint]
secret_access_key = BUCKET_SE... | code_fim | hard | {
"lang": "python",
"repo": "Open-EO/openeo-sentinelhub-python-driver",
"path": "/rest/buckets/utils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/verbs/_serenaded.py
from xai.brain.wordbase.verbs._serenade import _SERENADE
#calss header
class _SERENADED(_SERENADE, ):
<|fim_suffix|> _SERENADE.__init__(self)
self.name = "SERENADED"
self.specie = 'verbs'
self.basic = "serenade"
self.jsondata ... | code_fim | easy | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/verbs/_serenaded.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> _SERENADE.__init__(self)
self.name = "SERENADED"
self.specie = 'verbs'
self.basic = "serenade"
self.jsondata = {}<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/verbs/_serenaded.py
from xai.brain.wordbase.verbs._serenade import _SERENADE
#calss header
class _SERENADED(_SERENADE,... | code_fim | easy | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/verbs/_serenaded.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: phrb/orio_experiments path: /orio/module/ortildriver/transformation.py
sed to represent a k-ary multiplication.
"""
if isinstance(exp, ast.NumLitExp):
if up_sign == -1:
exp.val *= -1
return exp
elif isinstance(exp, ast.StringLitExp... | code_fim | hard | {
"lang": "python",
"repo": "phrb/orio_experiments",
"path": "/orio/module/ortildriver/transformation.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> elif isinstance(tnode, ast.ExpStmt):
if tnode.exp:
tnode.exp = self.__addIdentWithConstant(tnode.exp, iname, constant)
return tnode
elif isinstance(tnode, ast.CompStmt):
tnode.stmts = [
self.__addIdentWithConstant(s, inam... | code_fim | hard | {
"lang": "python",
"repo": "phrb/orio_experiments",
"path": "/orio/module/ortildriver/transformation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # recursively unroll its loop body
ubody = self.__unroll(lbody, unroll_factor_table)
# unroll the loop body
ufactor = unroll_factor_table[id.name]
ustmts = []
for i in range(0, ufactor):
s = ubody.replicate()
... | code_fim | hard | {
"lang": "python",
"repo": "phrb/orio_experiments",
"path": "/orio/module/ortildriver/transformation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fnet123/SwarmOps path: /src/apis/core.py
# -*- coding:utf-8 -*-
from flask import Blueprint, request, g
from flask_restful import Api, Resource
from utils.public import logger
class Swarm(Resource):
def get(self):
""" 查询存储的swarm集群信息 """
get = request.args.get("get")
... | code_fim | hard | {
"lang": "python",
"repo": "fnet123/SwarmOps",
"path": "/src/apis/core.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if g.auth:
return g.node.GET()
else:
res = {"msg": "Authentication failed, permission denied.", "code": 403}
logger.warn(res)
return res, 403
def post(self):
"""create a node into swarm cluster"""
Ip = request.form.get... | code_fim | hard | {
"lang": "python",
"repo": "fnet123/SwarmOps",
"path": "/src/apis/core.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> cv2.imshow('Face', img)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
video_capture.release()
cv2.destroyAllWindows()<|fim_prefix|># repo: focaaby/multiple-media-final path: /original/detector.py
import numpy as np
import cv2
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_d... | code_fim | hard | {
"lang": "python",
"repo": "focaaby/multiple-media-final",
"path": "/original/detector.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: focaaby/multiple-media-final path: /original/detector.py
import numpy as np
import cv2
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
video_capture = cv2.VideoCapture(0)
rec = cv2.face.createLBPHFaceRecognizer()
rec.load("recognizer/trainingData.xml")
id = 0
name = "... | code_fim | hard | {
"lang": "python",
"repo": "focaaby/multiple-media-final",
"path": "/original/detector.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shubhi13/Python_Scripts path: /Automation/mail-automation/mailing/views.py
import smtplib
from django.http import request
from django.shortcuts import render,redirect
# from django.http import HttpResponse
from django.core.files.storage import FileSystemStorage
from email.mime.multipart import MI... | code_fim | hard | {
"lang": "python",
"repo": "shubhi13/Python_Scripts",
"path": "/Automation/mail-automation/mailing/views.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> uploaded_file1=request.FILES['pdf2']
uploaded_file2=request.FILES['pdf3']
fs1=FileSystemStorage()
fs1.save(uploaded_file1.name,uploaded_file1)
fs1.save(uploaded_file2.name,uploaded_file2)
... | code_fim | hard | {
"lang": "python",
"repo": "shubhi13/Python_Scripts",
"path": "/Automation/mail-automation/mailing/views.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>for ii, toll in enumerate(tol):
# Run PARAFAC decomposition without line search and time
start = time()
fac = parafac(tensor, rank=3, n_iter_max=2000000, tol=toll)
tt[ii] = time() - start
# Run PARAFAC decomposition with line search and time
start = time()
fac_ls = parafac(tensor,... | code_fim | hard | {
"lang": "python",
"repo": "szha/tensorly",
"path": "/examples/decomposition/parafac_line_search.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: szha/tensorly path: /examples/decomposition/parafac_line_search.py
"""
Using line search with PARAFAC
==========================================
Example on how to use :func:`tensorly.decomposition.parafac` with line search to accelerate convergence.
"""
from time import time
import numpy as np
... | code_fim | hard | {
"lang": "python",
"repo": "szha/tensorly",
"path": "/examples/decomposition/parafac_line_search.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> logger.debug("Waiting %s seconds...", delay)
time.sleep(delay)
def run_import_on_slave(script):
# type: (Script) -> None
logger.info("Importer running in slave mode, not doing anything")
while True:
delay = 60
logger.debug("Waiting %d seconds...", delay)
... | code_fim | hard | {
"lang": "python",
"repo": "acoustid/acoustid-server",
"path": "/acoustid/scripts/import_submissions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: acoustid/acoustid-server path: /acoustid/scripts/import_submissions.py
#!/usr/bin/env python
# Copyright (C) 2012-2013 Lukas Lalinsky
# Distributed under the MIT license, see the LICENSE file for details.
import json
import logging
import time
from typing import Any, Dict, Optional
from acoust... | code_fim | hard | {
"lang": "python",
"repo": "acoustid/acoustid-server",
"path": "/acoustid/scripts/import_submissions.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # type: (Script) -> None
logger.info("Importer running in master mode")
# listen for new submissins and import them as they come
min_delay = 1.0
max_delay = 10.0
delay_update_coefficient = 1.3
delay = min_delay
while True:
try:
imported = do_import(sc... | code_fim | hard | {
"lang": "python",
"repo": "acoustid/acoustid-server",
"path": "/acoustid/scripts/import_submissions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>while True:
n = menu(['Cadastrar Pessoas','Lista de Pessoas','Sair do Sistema'])
if n == 3:
final()
break
elif n == 1:
cabecalho('Cadastrar Pessoas')
nome = str(input('Nome: ')).title().strip()
idade = leiaInt('Idade: ')
cadastrarPessoa(Arq, nom... | code_fim | medium | {
"lang": "python",
"repo": "josivantarcio/Desafios-em-Python",
"path": "/Desafios/desafio115.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: josivantarcio/Desafios-em-Python path: /Desafios/desafio115.py
from utilidadesCeV.menu import *
from utilidadesCeV.arquivo import *
<|fim_suffix|>while True:
n = menu(['Cadastrar Pessoas','Lista de Pessoas','Sair do Sistema'])
if n == 3:
final()
break
elif n == 1:
... | code_fim | medium | {
"lang": "python",
"repo": "josivantarcio/Desafios-em-Python",
"path": "/Desafios/desafio115.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: junpenglao/Planet_Sakaar_Data_Science path: /Miscellaneous/test_script_pymc3/multinominal.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 11 13:30:53 2017
@author: laoj
"""
import numpy as np
import pymc3 as pm
import theano.tensor as tt
from pymc3.distributions.distribu... | code_fim | hard | {
"lang": "python",
"repo": "junpenglao/Planet_Sakaar_Data_Science",
"path": "/Miscellaneous/test_script_pymc3/multinominal.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> const = (tt.gammaln(n + 1) + tt.gammaln(sum_alpha)) - tt.gammaln(n + sum_alpha)
series = tt.gammaln(x + alpha) - (tt.gammaln(x + 1) + tt.gammaln(alpha))
result = const + tt.sum(series, axis=-1)
return result
def as_col(x):
if isinstance(x, tt.TensorVariable):
r... | code_fim | hard | {
"lang": "python",
"repo": "junpenglao/Planet_Sakaar_Data_Science",
"path": "/Miscellaneous/test_script_pymc3/multinominal.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lsh3163/ai-motorcycle path: /ai_car/rc_car_interface.py
# Copyright(c) Reserved 2020.
# Donghee Lee, University of Soul
#
__author__ = 'will'
import numpy as np
import cv2
import serial
from picamera.array import PiRGBArray
from picamera import PiCamera
class RC_Car_Interface():
def __init... | code_fim | hard | {
"lang": "python",
"repo": "lsh3163/ai-motorcycle",
"path": "/ai_car/rc_car_interface.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> img = np.empty((320, 320, 3), dtype=np.uint8)
self.camera.capture(img, 'bgr')
img = img[:,:,0] # 3 dimensions have the same value because camera is set to black and white
# remove two dimension data
threshold = ... | code_fim | hard | {
"lang": "python",
"repo": "lsh3163/ai-motorcycle",
"path": "/ai_car/rc_car_interface.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LIMUNIMI/MMSP2021-Audio2ScoreAlignment path: /alignment/asmd/docs/conf.py
# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configurat... | code_fim | hard | {
"lang": "python",
"repo": "LIMUNIMI/MMSP2021-Audio2ScoreAlignment",
"path": "/alignment/asmd/docs/conf.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>project = 'ASMD'
copyright = '2020, Federico Simonetta'
author = 'Federico Simonetta'
# The full version, including alpha/beta/rc tags
release = '0.1'
# -- General configuration ---------------------------------------------------
# Add any Sphinx extension module names here, as strings. They can be
# e... | code_fim | hard | {
"lang": "python",
"repo": "LIMUNIMI/MMSP2021-Audio2ScoreAlignment",
"path": "/alignment/asmd/docs/conf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert say_hello("Jon") == "Hello, Jon!"<|fim_prefix|># repo: cndipowa/hellopython path: /test_hellopython.py
from hellopython import say_hello
<|fim_middle|>def test_hellopython_no_params():
assert say_hello() == "Hello, World!"
def test_hellopython_with_params():
| code_fim | medium | {
"lang": "python",
"repo": "cndipowa/hellopython",
"path": "/test_hellopython.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cndipowa/hellopython path: /test_hellopython.py
from hellopython import say_hello
<|fim_suffix|>def test_hellopython_with_params():
assert say_hello("Jon") == "Hello, Jon!"<|fim_middle|>def test_hellopython_no_params():
assert say_hello() == "Hello, World!"
| code_fim | medium | {
"lang": "python",
"repo": "cndipowa/hellopython",
"path": "/test_hellopython.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if len(args.files) % 2 != 0:
print("must have pairs of files")
sys.exit(1)
file_pairs = list(zip(args.files[0:-1:2], args.files[1::2]))
for path_a, path_b in file_pairs:
process_pointcloud(path_a, path_b, args.nogui)
if __name__ == '__main__':
main()<|fim_prefix... | code_fim | medium | {
"lang": "python",
"repo": "Rookfighter/least-squares-cpp",
"path": "/scripts/plot_pointclouds.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main():
args = parse_args()
if len(args.files) % 2 != 0:
print("must have pairs of files")
sys.exit(1)
file_pairs = list(zip(args.files[0:-1:2], args.files[1::2]))
for path_a, path_b in file_pairs:
process_pointcloud(path_a, path_b, args.nogui)
if __name__ ... | code_fim | hard | {
"lang": "python",
"repo": "Rookfighter/least-squares-cpp",
"path": "/scripts/plot_pointclouds.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Rookfighter/least-squares-cpp path: /scripts/plot_pointclouds.py
import argparse
import sys
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
def parse_args():
parser = argparse.ArgumentParser(description='Plot point clouds')
parser.add_argument(... | code_fim | hard | {
"lang": "python",
"repo": "Rookfighter/least-squares-cpp",
"path": "/scripts/plot_pointclouds.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abandonsea/RGBD-Seg path: /my_train.py
import argparse
import os
import random
import shutil
from src.prepare_data import prepare_data
from src.args import ArgumentParserRGBDSegmentation
import time
import warnings
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends... | code_fim | hard | {
"lang": "python",
"repo": "abandonsea/RGBD-Seg",
"path": "/my_train.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Data loading code
traindir = os.path.join(args.data, 'train')
valdir = os.path.join(args.data, 'val')
normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406],
std=[0.229, 0.224, 0.225])
train_dataset = datasets.ImageFolder(
traindir,
... | code_fim | hard | {
"lang": "python",
"repo": "abandonsea/RGBD-Seg",
"path": "/my_train.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vinnyotach7/Personal-Blog path: /app/main/forms.py
from flask_wtf import FlaskForm
from wtforms import StringField,TextAreaField,SubmitField
from wtforms.validators import Required
class BlogForm(FlaskForm):
user = StringField('Your name',validators=[Required()])
<|fim_suffix|>class Dele... | code_fim | hard | {
"lang": "python",
"repo": "vinnyotach7/Personal-Blog",
"path": "/app/main/forms.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
user = StringField('Your name',validators=[Required()])
heading = StringField('Blog Heading',validators=[Required()])
blog = TextAreaField('Your blog',validators=[Required()])
submit = SubmitField('Post')
class CommentForm(FlaskForm):
user = StringField('Your name',validator... | code_fim | medium | {
"lang": "python",
"repo": "vinnyotach7/Personal-Blog",
"path": "/app/main/forms.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nihonjinrxs/flask-dotenv path: /flask_dotenv.py
"""
FLask-DotEnv
:copyright: (c) 2015 by Yasuhiro Asaka.
:license: BSD 2-Clause License
"""
from __future__ import absolute_import
import ast
import os
import re
import warnings
class DotEnv(object):
"""The .env file support for Flask."""
... | code_fim | hard | {
"lang": "python",
"repo": "nihonjinrxs/flask-dotenv",
"path": "/flask_dotenv.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> with open(env_file, "r") as f:
for line in f:
try:
key, value = line.strip().split('=', 1)
except ValueError: # Take care of blank or comment lines
pass
try:
val = ast.literal_e... | code_fim | hard | {
"lang": "python",
"repo": "nihonjinrxs/flask-dotenv",
"path": "/flask_dotenv.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __import_vars(self, env_file):
with open(env_file, "r") as f:
for line in f:
try:
key, value = line.strip().split('=', 1)
except ValueError: # Take care of blank or comment lines
pass
try:
... | code_fim | hard | {
"lang": "python",
"repo": "nihonjinrxs/flask-dotenv",
"path": "/flask_dotenv.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Calculate bounding boxes components
:param np.ndarray segmentation: array for which bounds boxes should be calculated
:return: mapping component number to bounding box
:rtype: Dict[int, BoundInfo]
"""
bound_info = {}
count = np.max(segme... | code_fim | hard | {
"lang": "python",
"repo": "monotropauniflora/PartSeg",
"path": "/package/PartSegCore/segmentation_info.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class SegmentationInfo:
"""
Object to storage meta information about given segmentation.
Segmentation array is only referenced, not copied.
:ivar numpy.ndarray ~.segmentation: reference to segmentation
:ivar Dict[int,BoundInfo] bound_info: mapping from component number to bounding bo... | code_fim | medium | {
"lang": "python",
"repo": "monotropauniflora/PartSeg",
"path": "/package/PartSegCore/segmentation_info.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: monotropauniflora/PartSeg path: /package/PartSegCore/segmentation_info.py
from typing import Dict, List, NamedTuple, Optional
import numpy as np
from PartSegCore.utils import numpy_repr
from PartSegImage.image import minimal_dtype
class BoundInfo(NamedTuple):
"""
Information about bou... | code_fim | medium | {
"lang": "python",
"repo": "monotropauniflora/PartSeg",
"path": "/package/PartSegCore/segmentation_info.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: s-c-p/date-forensics-fs path: /dateCheck.py
# https://codereview.stackexchange.com/questions/37465/compare-last-modification-time-with-specfied-time
import os
import sqlite3
import logging
import datetime
op = os.path
HERE = os.getcwd()
logging.basicConfig(filename=r".\errors.log", level=30)
... | code_fim | hard | {
"lang": "python",
"repo": "s-c-p/date-forensics-fs",
"path": "/dateCheck.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main():
with open("places-to-scan.txt", mode="rt") as fh:
locations = fh.readlines()
_stripper = lambda x: x.strip()
_rejectEmpty = lambda x: True if x else False
locations = filter(_rejectEmpty, map(_stripper, locations))
locations = [_ for _ in locations]
with sqlite3.connect("analyses.db")... | code_fim | hard | {
"lang": "python",
"repo": "s-c-p/date-forensics-fs",
"path": "/dateCheck.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if user.is_anonymous:
oip = get_ip(request)
ips = oip.split(".")[:-1]
ip = ".".join(ips)
if ip in settings.IP_WHITELIST:
return get_response(request)
if ip not in cache:
cache.set(ip, 0, settings.TIME_PER... | code_fim | hard | {
"lang": "python",
"repo": "jelyware/biostar-central",
"path": "/biostar/forum/middleware.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jelyware/biostar-central path: /biostar/forum/middleware.py
import logging
import time
from socket import gethostbyaddr, gethostbyname
from django.conf import settings
from django.contrib import messages
from django.contrib.auth import logout
from django.core.cache import cache
from django.short... | code_fim | hard | {
"lang": "python",
"repo": "jelyware/biostar-central",
"path": "/biostar/forum/middleware.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if settings.DEBUG:
return get_response(request)
if user.is_anonymous:
oip = get_ip(request)
ips = oip.split(".")[:-1]
ip = ".".join(ips)
if ip in settings.IP_WHITELIST:
return get_response(request)
i... | code_fim | hard | {
"lang": "python",
"repo": "jelyware/biostar-central",
"path": "/biostar/forum/middleware.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DemoVersion/theanolm path: /tests/theanolm/textscorer_test.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import unittest
import os
import numpy
from theano import tensor
from theanolm import Vocabulary
from theanolm.scoring import TextScorer
from numpy.testing import assert_almost_equal
cla... | code_fim | hard | {
"lang": "python",
"repo": "DemoVersion/theanolm",
"path": "/tests/theanolm/textscorer_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def setUp(self):
script_path = os.path.dirname(os.path.realpath(__file__))
vocabulary_path = os.path.join(script_path, 'vocabulary.txt')
with open(vocabulary_path) as vocabulary_file:
self.vocabulary = Vocabulary.from_file(vocabulary_file, 'words')
self.dumm... | code_fim | hard | {
"lang": "python",
"repo": "DemoVersion/theanolm",
"path": "/tests/theanolm/textscorer_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
def test_score_batch(self):
# Network predicts <unk> probability.
scorer = TextScorer(self.dummy_network)
word_ids = numpy.arange(6).reshape((3, 2))
class_ids = numpy.arange(6).reshape((3, 2))
membership_probs = numpy.ones_like(word_ids).astype('fl... | code_fim | hard | {
"lang": "python",
"repo": "DemoVersion/theanolm",
"path": "/tests/theanolm/textscorer_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self):
name = "Ensure Cosmos DB accounts have restricted access"
id = "CKV_AZURE_99"
supported_resources = ['azurerm_cosmosdb_account']
categories = [CheckCategories.NETWORKING]
super().__init__(name=name, id=id, categories=categories, supported_res... | code_fim | hard | {
"lang": "python",
"repo": "bridgecrewio/checkov",
"path": "/checkov/terraform/checks/resource/azure/CosmosDBAccountsRestrictedAccess.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bridgecrewio/checkov path: /checkov/terraform/checks/resource/azure/CosmosDBAccountsRestrictedAccess.py
from checkov.common.models.enums import CheckResult, CheckCategories
from checkov.terraform.checks.resource.base_resource_check import BaseResourceCheck
<|fim_suffix|> def scan_resource_con... | code_fim | hard | {
"lang": "python",
"repo": "bridgecrewio/checkov",
"path": "/checkov/terraform/checks/resource/azure/CosmosDBAccountsRestrictedAccess.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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