text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> params = {
'number': '498032',
'numbering_identifier': 'refs/heads/master',
'numbering_type': 'COMMIT_POSITION',
'project': 'chromium',
'repo': 'chromium/src'
}
return_value = {
'git_sha': '4c9925b198332f5fbb82b3edb672ed55071f87dd',
'repo... | code_fim | medium | {
"lang": "python",
"repo": "catapult-project/catapult",
"path": "/dashboard/dashboard/services/crrev_service_test.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def main(test=0):
# add all the objects in a list
objectList = [Q, M, E, EV]
# set the length of the experiment
maxSimTime = 100.0
# call the runSimulation giving the objects and the length of the experiment
runSimulation(objectList, maxSimTime)
# calculate metrics
workin... | code_fim | hard | {
"lang": "python",
"repo": "sunhughees/manpy",
"path": "/manpy/simulation/Examples/BalancingABuffer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sunhughees/manpy path: /manpy/simulation/Examples/BalancingABuffer.py
from manpy.simulation.imports import Machine, Queue, Exit, Part, EventGenerator
from manpy.simulation.Globals import runSimulation, setWIP, G
# method to check if the buffer is starving and refill it
def balanceQueue(buffer, r... | code_fim | hard | {
"lang": "python",
"repo": "sunhughees/manpy",
"path": "/manpy/simulation/Examples/BalancingABuffer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
判断回文主要是前半部分和后半部分的比较，将后半部分反转（仍然是单链表），则可以方便的判断回文。
时间 O(n)，空间O(1).
:type head: ListNode
:rtype: bool
"""
if not head or not head.next:
return True
mid = self.midOfLists(head)
bhead = self.reverseList(mid.next)
... | code_fim | medium | {
"lang": "python",
"repo": "zhaoxinlu/leetcode-algorithms",
"path": "/03LinkedList/234PalindromeLinkedList.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zhaoxinlu/leetcode-algorithms path: /03LinkedList/234PalindromeLinkedList.py
# -*- coding: utf-8 -*-
"""
Editor: Zhao Xinlu
School: BUPT
Date: 2018-04-11
算法思想：判断是不是回文链表
"""
# Definition for singly-linked list.
class ListNode(object):
<|fim_suffix|> if not head:
return head
... | code_fim | hard | {
"lang": "python",
"repo": "zhaoxinlu/leetcode-algorithms",
"path": "/03LinkedList/234PalindromeLinkedList.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> pre = None
cur = head
nhead = None
while cur:
nextN = cur.next
if cur.next == None:
nhead = cur
cur.next = pre
pre = cur
cur = nextN
return nhead<|fim_prefix|># repo: zhaoxinlu/leetcode-al... | code_fim | medium | {
"lang": "python",
"repo": "zhaoxinlu/leetcode-algorithms",
"path": "/03LinkedList/234PalindromeLinkedList.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lsst-sitcom/spot_motion_monitor path: /spot_motion_monitor/camera/camera_status.py
# This file is part of spot_motion_monitor.
#
# Developed for LSST System Integration, Test and Commissioning.
#
# See the LICENSE file at the top-level directory of this distribution
# for details of code ownershi... | code_fim | medium | {
"lang": "python",
"repo": "lsst-sitcom/spot_motion_monitor",
"path": "/spot_motion_monitor/camera/camera_status.py",
"mode": "psm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>"""Camera related information
Attributes
----------
CameraStatus : collections.namedtuple
Current values of particular camera information
* name (str) : The name of the current camera.
* currentFps (int) : The current Frames per Second rate.
* isRoiMode (bool) : Flag for is the camera is ... | code_fim | medium | {
"lang": "python",
"repo": "lsst-sitcom/spot_motion_monitor",
"path": "/spot_motion_monitor/camera/camera_status.py",
"mode": "spm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> rep2 = Table(domain, metrics=["metric_1", "metric_2"])
rep2.from_database(rep.database, table=rep.default_database_table)
rep3 = Table(domain, metrics=["metric_1", "metric_2"])
rep3.from_database(os.path.join(db_dir, "db.json"),
table=rep.default_... | code_fim | hard | {
"lang": "python",
"repo": "Sprinterzzj/hypertunity",
"path": "/hypertunity/reports/tests/test_table.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Sprinterzzj/hypertunity path: /hypertunity/reports/tests/test_table.py
import os
import tempfile
from hypertunity.optimisation.base import EvaluationScore
from ..table import Table
def test_from_to_history(generated_history):
history, domain = generated_history
rep = Table(
do... | code_fim | hard | {
"lang": "python",
"repo": "Sprinterzzj/hypertunity",
"path": "/hypertunity/reports/tests/test_table.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def set_debug_print_state(debug_enable):
"""Enable/disable debug prints"""
global _debug
_debug = debug_enable
def reset_device_state(enable):
"""Reset the device state bits to the default enabled or disabled state"""
clean_enable_state = _get_addr_for_bit(_eeprom_bit)
clean_dis... | code_fim | hard | {
"lang": "python",
"repo": "Rudysmama/pi-topPULSE",
"path": "/library/ptpulse/configuration.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Rudysmama/pi-topPULSE path: /library/ptpulse/configuration.py
# configuration.py (pi-topPULSE)
# Copyright (C) 2017 CEED ltd.
#
from math import pow
import smbus
import sys
import time
_bus_id = 1
_device_addr = 0x24
_debug = False
_speaker_bit = 0
_mcu_bit = 1
_eeprom_bit = 2
_16khz_bit = 3
... | code_fim | hard | {
"lang": "python",
"repo": "Rudysmama/pi-topPULSE",
"path": "/library/ptpulse/configuration.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Returns visibility of final level text as a boolean."""
final_level_text = self.driver.find_element_by_name(self.FINAL_LEVEL_TEXT_NAME)
return final_level_text.is_displayed()
def press_up_navigation_back_button(self):
"""Press up navigation back button."""
b... | code_fim | hard | {
"lang": "python",
"repo": "only4arunkumar/aws-device-farm-appium-python-tests-for-android-sample-app",
"path": "/tests/pages/nested_views_page.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Press next level button."""
next_level_button = self.driver.find_element_by_name(self.NEXT_LEVEL_BUTTON_NAME)
next_level_button.click()
def get_counter(self):
"""Returns the current page counter as an int."""
counter = self.driver.find_element_by_name(self.C... | code_fim | hard | {
"lang": "python",
"repo": "only4arunkumar/aws-device-farm-appium-python-tests-for-android-sample-app",
"path": "/tests/pages/nested_views_page.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: only4arunkumar/aws-device-farm-appium-python-tests-for-android-sample-app path: /tests/pages/nested_views_page.py
# Copyright 2016 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in com... | code_fim | hard | {
"lang": "python",
"repo": "only4arunkumar/aws-device-farm-appium-python-tests-for-android-sample-app",
"path": "/tests/pages/nested_views_page.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mitre-cyber-academy/2013-grabbag-300 path: /src/addNums.py
from PIL import Image
import numpy as np
import argparse
def main():
<|fim_suffix|> img = Image.open(args.inFile)
imgArr = np.array(img)
ax1, ax2, ax3 = imgArr.shape
currSum = 0
for i in range(ax1):
for j in range(ax2):
for k in... | code_fim | medium | {
"lang": "python",
"repo": "mitre-cyber-academy/2013-grabbag-300",
"path": "/src/addNums.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> img = Image.open(args.inFile)
imgArr = np.array(img)
ax1, ax2, ax3 = imgArr.shape
currSum = 0
for i in range(ax1):
for j in range(ax2):
for k in range(ax3):
currSum += imgArr[i,j,k]
print currSum
if __name__ == '__main__':
main()<|fim_prefix|># repo: mitre-cyber-academy/2013-grabbag-300 ... | code_fim | medium | {
"lang": "python",
"repo": "mitre-cyber-academy/2013-grabbag-300",
"path": "/src/addNums.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> data_container.set_expected_outputs(new_expected_outputs_data_container.data_inputs)
current_ids = self.hash(data_container)
data_container.set_current_ids(current_ids)
return data_container
class InputAndOutputTransformerMixin:
"""
Base output transformer step ... | code_fim | hard | {
"lang": "python",
"repo": "Eric2Hamel/Neuraxle",
"path": "/neuraxle/steps/output_handlers.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Eric2Hamel/Neuraxle path: /neuraxle/steps/output_handlers.py
"""
Output Handlers Steps
====================================
You can find here output handlers steps that changes especially the data outputs.
..
Copyright 2019, Neuraxio Inc.
Licensed under the Apache License, Version 2.0 (... | code_fim | hard | {
"lang": "python",
"repo": "Eric2Hamel/Neuraxle",
"path": "/neuraxle/steps/output_handlers.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='pregunta',
name='tipo',
field=models.CharField(choices=[('A', 'Falso y Verdadero'), ('B', 'Multiple Opcion 1 Respuetsa'), ('C', 'Multiple Opcion Multiple Respuesta')], max_length=45),
),
]<|fim_pr... | code_fim | medium | {
"lang": "python",
"repo": "Mezoreth/sis325_eval",
"path": "/eval/migrations/0017_auto_20191027_0106.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
('eval', '0016_auto_20191027_0102'),
]
operations = [
migrations.AlterField(
model_name='pregunta',
name='tipo',
field=models.CharField(choices=[('A', 'Falso y Verdadero'), ('B', 'Multiple Opcion 1 Respuetsa'), ('C', 'Multi... | code_fim | medium | {
"lang": "python",
"repo": "Mezoreth/sis325_eval",
"path": "/eval/migrations/0017_auto_20191027_0106.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Mezoreth/sis325_eval path: /eval/migrations/0017_auto_20191027_0106.py
# Generated by Django 2.2.6 on 2019-10-27 05:06
from django.db import migrations, models
<|fim_suffix|>
dependencies = [
('eval', '0016_auto_20191027_0102'),
]
operations = [
migrations.AlterFie... | code_fim | medium | {
"lang": "python",
"repo": "Mezoreth/sis325_eval",
"path": "/eval/migrations/0017_auto_20191027_0106.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>## Output Description
If it's possible to convert between the units, print the output as follows:
3 metres is 118.1 inches
If it's not possible to convert between the units, print as follows:
3 metres can't be converted to pounds
# Notes
Rather than creating a method to do each separate type of co... | code_fim | medium | {
"lang": "python",
"repo": "DayGitH/Python-Challenges",
"path": "/DailyProgrammer/DP20140728A.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DayGitH/Python-Challenges path: /DailyProgrammer/DP20140728A.py
"""
[7/28/2014] Challenge #173 [Easy] Unit Calculator
https://www.reddit.com/r/dailyprogrammer/comments/2bxntq/7282014_challenge_173_easy_unit_calculator/
<|fim_suffix|>## Input Description
You will be given a request in the format... | code_fim | hard | {
"lang": "python",
"repo": "DayGitH/Python-Challenges",
"path": "/DailyProgrammer/DP20140728A.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for k in del_ids:
del self.traces[k]
# 4. publish current bounding boxes
self.__publish_bbox()
# 5. publish tracking image
self.__publish_tracking_image(self.image, self.bboxes)
if __name__ == '__main__':
rospy.init_node('iou_tracker', anonymou... | code_fim | hard | {
"lang": "python",
"repo": "ZhiangChen/ros_iou_tracking",
"path": "/src/iou_tracker.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ZhiangChen/ros_iou_tracking path: /src/iou_tracker.py
#!/usr/bin/env python3
"""
ros_iou_tracking
Copyright 2021 Zhiang Chen
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 ... | code_fim | hard | {
"lang": "python",
"repo": "ZhiangChen/ros_iou_tracking",
"path": "/src/iou_tracker.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># Write to a file named payoffs.csv
# Make sure that there is a header line [Indicating the column names, eg. Player, Payoff]
# and the lines are ended properly [Hint: put a newline character at the end of each line]
# and the you close the file.
def save_to_file():
with open('payoffs.csv', 'w') as... | code_fim | hard | {
"lang": "python",
"repo": "koltpython/python-assignments-fall2019",
"path": "/Assignment2-B/assignment2b.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for player in players:
if players_guesses[player] == jar_contains_mostly():
payoffs[player] = prize
else:
payoffs[player] = 0
#This method prints the players' payoffs at the end of program.
def print_payoffs():
print(f'Since there were more {jar_contains_mo... | code_fim | hard | {
"lang": "python",
"repo": "koltpython/python-assignments-fall2019",
"path": "/Assignment2-B/assignment2b.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: koltpython/python-assignments-fall2019 path: /Assignment2-B/assignment2b.py
import random
# In your code don't directly use numbers, but use this variables.
payoffs = {}
players_guesses = {}
number_of_balls = 100
number_of_players = 5
red_ratio = random.uniform(0, 1)
prize = 20
# This line choo... | code_fim | hard | {
"lang": "python",
"repo": "koltpython/python-assignments-fall2019",
"path": "/Assignment2-B/assignment2b.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
GafferUI.CompoundPlugValueWidget.__init__( self, plug, collapsed, label, self.__summary )
@staticmethod
def __summary( plug ) :
info = []
translate = plug["translate"].getValue()
if translate[0] != 0 or translate[1] != 0 or translate[2] != 0 :
info.append( "Translate " + str( translate... | code_fim | medium | {
"lang": "python",
"repo": "dneg/gaffer",
"path": "/python/GafferUI/TransformPlugValueWidget.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dneg/gaffer path: /python/GafferUI/TransformPlugValueWidget.py
##########################################################################
#
# Copyright (c) 2013, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modificat... | code_fim | hard | {
"lang": "python",
"repo": "dneg/gaffer",
"path": "/python/GafferUI/TransformPlugValueWidget.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sigmarising/poetry-statistics-summary path: /personLocation.py
"""
File: personLocation.py
Desc:
脚本 - 用于统计各个朝代的
诗词作品中提及到的人物、地点 数量
"""
import os
import json
import settings
from collections import Counter
from module.ColorLogDecorator import ColorLogDecorator
INPUT_DIR = os.path.join(set... | code_fim | hard | {
"lang": "python",
"repo": "sigmarising/poetry-statistics-summary",
"path": "/personLocation.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> pointer += 1
msg = " Handling {0} {1:.2f}% : {2}".format(dynasty, pointer * 100 / this_len, file)
print(ColorLogDecorator.blue(msg))
file_path = os.path.join(dynasty_path, file)
with open(file_path, 'r+', encoding='utf-8', errors='ignore') as f:... | code_fim | hard | {
"lang": "python",
"repo": "sigmarising/poetry-statistics-summary",
"path": "/personLocation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nsang0u/TweetMapping path: /2get_tweets.py
'''
Geo_pull extracts tweet location geocode / date tuples from CSV. get_coords translates geocode to coordinate and writes these to a new csv.
'''
import csv
import geopy
from geopy.geocoders import Nominatim
GEOCOL = 5
DATECOL = 2
def geo_... | code_fim | hard | {
"lang": "python",
"repo": "nsang0u/TweetMapping",
"path": "/2get_tweets.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Old description:
Uses geopy to pull coordinates from the geo_set, passes over errors from
set items that arent coordinates, returns set of long/lat tuples.
"""
from geopy.geocoders import Nominatim
#coord_list = list()
#print(str(location_set)+"!")
with op... | code_fim | medium | {
"lang": "python",
"repo": "nsang0u/TweetMapping",
"path": "/2get_tweets.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>m .parking import Parking # noqa
from .parking_area import ParkingArea # noqa<|fim_prefix|># repo: maxg0/parkkihubi path: /parkings/models/__init__.py
from .address import Address # noqa
fr<|fim_middle|>om .operator import Operator # noqa
fro | code_fim | easy | {
"lang": "python",
"repo": "maxg0/parkkihubi",
"path": "/parkings/models/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: maxg0/parkkihubi path: /parkings/models/__init__.py
from .address import Address # noqa
fr<|fim_suffix|>m .parking import Parking # noqa
from .parking_area import ParkingArea # noqa<|fim_middle|>om .operator import Operator # noqa
fro | code_fim | easy | {
"lang": "python",
"repo": "maxg0/parkkihubi",
"path": "/parkings/models/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for record in data:
try:
table.put_item(Item=record, ConditionExpression=f'attribute_not_exists({primaryKey})')
time.sleep(0.1)
except ClientError as cErr:
if cErr.response['Error']['Code'] == 'ConditionalCheckFailedException... | code_fim | hard | {
"lang": "python",
"repo": "fabirami/quickstart-aws-industrial-machine-connectivity",
"path": "/functions/source/AssetModelConverter/drivers/kepserver_file_driver.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> except ClientError as cErr:
if cErr.response['Error']['Code'] == 'ConditionalCheckFailedException':
log.info('Ignoring existing record {}'.format(record[primaryKey]))
else:
raise
def processEvent(self, event):
... | code_fim | hard | {
"lang": "python",
"repo": "fabirami/quickstart-aws-industrial-machine-connectivity",
"path": "/functions/source/AssetModelConverter/drivers/kepserver_file_driver.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fabirami/quickstart-aws-industrial-machine-connectivity path: /functions/source/AssetModelConverter/drivers/kepserver_file_driver.py
import json
import logging
import os
import time
import boto3
from boto3.dynamodb.conditions import Key
from botocore.exceptions import ClientError
log = logging... | code_fim | hard | {
"lang": "python",
"repo": "fabirami/quickstart-aws-industrial-machine-connectivity",
"path": "/functions/source/AssetModelConverter/drivers/kepserver_file_driver.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gangadhar-kadam/sapphite_lib path: /core/page/data_import_tool/data_import_tool.py
# Copyright (c) 2013, Web Notes Technologies Pvt. Ltd.
# MIT License. See license.txt
from __future__ import unicode_literals
import webnotes, json
import webnotes.model.doc
import webnotes.model.doctype
from web... | code_fim | hard | {
"lang": "python",
"repo": "gangadhar-kadam/sapphite_lib",
"path": "/core/page/data_import_tool/data_import_tool.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if empty_cols:
if columns[-1*len(empty_cols):] == empty_cols:
# filter empty columns if they exist at the end
columns = columns[:-1*len(empty_cols)]
else:
webnotes.msgprint(_("Please make sure that there are no empty columns in the file."),
raise_exception=1)
return columns
d... | code_fim | hard | {
"lang": "python",
"repo": "gangadhar-kadam/sapphite_lib",
"path": "/core/page/data_import_tool/data_import_tool.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self._factory.create_batch([txn])
def name_to_address(self, name):
return LISP_NAMESPACE + self._factory.sha512(name.encode())[:64]<|fim_prefix|># repo: nickdrozd/sawtooth-lisp path: /families/lisp/lisp_test/lisp_message_factory.py
import json
from sawtooth_lisp.lisp import L... | code_fim | hard | {
"lang": "python",
"repo": "nickdrozd/sawtooth-lisp",
"path": "/families/lisp/lisp_test/lisp_message_factory.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nickdrozd/sawtooth-lisp path: /families/lisp/lisp_test/lisp_message_factory.py
import json
from sawtooth_lisp.lisp import LISP_NAMESPACE
from sawtooth_processor_test.message_factory import MessageFactory
class LispMessageFactory:
def __init__(self, private=None, public=None):
self.... | code_fim | hard | {
"lang": "python",
"repo": "nickdrozd/sawtooth-lisp",
"path": "/families/lisp/lisp_test/lisp_message_factory.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Meenadshi/GoogleKickStart-2020 path: /Round C/candies.py
# Copyright (c) 2020 kamyu. All rights reserved.
#
# Google Kick Start 2020 Round C - Problem D. Candies
# https://codingcompetitions.withgoogle.com/kickstart/round/000000000019ff43/0000000000337b4d
#
# Time: O(N + QlogN)
# Space: O(N)
#
... | code_fim | medium | {
"lang": "python",
"repo": "Meenadshi/GoogleKickStart-2020",
"path": "/Round C/candies.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> T, MT = BIT(A, False), BIT(A, True)
result = 0
for _ in xrange(Q):
o, a, b = raw_input().strip().split()
if o == 'U':
x, v = int(a)-1, int(b)
update(A, T, MT, x, v)
continue
l, r = int(a)-1, int(b)-1
sign = 1 if l%2 == 0 else ... | code_fim | hard | {
"lang": "python",
"repo": "Meenadshi/GoogleKickStart-2020",
"path": "/Round C/candies.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> i += 1 # Extra one for dummy node.
ret = 0
while i > 0:
ret += self.__bit[i]
i -= (i & -i)
return ret
def update(A, T, MT, i, v):
diff = v-A[i]
sign = 1 if i%2 == 0 else -1
T.add(i, sign*diff)
MT.add(i, sign*diff*(i+1))
A[i] = v... | code_fim | medium | {
"lang": "python",
"repo": "Meenadshi/GoogleKickStart-2020",
"path": "/Round C/candies.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Azure/WALinuxAgent path: /tests/protocol/test_goal_state.py
IG_NAME], "The retry request did not include the expected header for the RoleConfigName")
def test_fetch_goal_state_should_raise_on_incomplete_goal_state(self):
with mock_wire_protocol(mockwiredata.DATA_FILE) as protocol:
... | code_fim | hard | {
"lang": "python",
"repo": "Azure/WALinuxAgent",
"path": "/tests/protocol/test_goal_state.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> with mock_wire_protocol(mockwiredata.DATA_FILE_VM_SETTINGS) as protocol:
invalid_vm_settings_file = "hostgaplugin/vm_settings-parse_error.json"
data_file = mockwiredata.DATA_FILE_VM_SETTINGS.copy()
data_file["vm_settings"] = invalid_vm_settings_file
... | code_fim | hard | {
"lang": "python",
"repo": "Azure/WALinuxAgent",
"path": "/tests/protocol/test_goal_state.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # The most recent goal state is FastTrack
timestamp = datetime.datetime.utcnow() + datetime.timedelta(seconds=15)
protocol.mock_wire_data.set_vm_settings_source(GoalStateSource.FastTrack)
protocol.mock_wire_data.set_etag('222222', timestamp)
goa... | code_fim | hard | {
"lang": "python",
"repo": "Azure/WALinuxAgent",
"path": "/tests/protocol/test_goal_state.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> s = SortedSetCache("chunk")
count = 1000
for x in range(count):
s.add((x + 1, x + 1))
prev_score = 0
for c, item in enumerate(s.chunk(chunk=500, desc=False), 1):
self.assertLess(prev_score, item[0])
self.assertEqual(count, c)
... | code_fim | hard | {
"lang": "python",
"repo": "Jaymon/caches",
"path": "/tests/core_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_exists(self):
c = SetCache('exists')
self.assertFalse(c.exists())
c.add(1)
self.assertTrue(c.exists())
def test_set(self):
key = ['sfoo__init__', 'bar__init__']
c = SetCache(key, ttl=1)
c.add('happy')
self.assertTrue('happy'... | code_fim | hard | {
"lang": "python",
"repo": "Jaymon/caches",
"path": "/tests/core_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Jaymon/caches path: /tests/core_test.py
ache('ktest_increment')
c.serialize = False
c += 1
self.assertEqual(1, c.data)
c2 = Cache('ktest_increment')
c2.serialize = False
self.assertEqual(1, int(c2))
c2.increment(10)
self.assertEqu... | code_fim | hard | {
"lang": "python",
"repo": "Jaymon/caches",
"path": "/tests/core_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 4. Extract space dimensions
test_env = PettingZooEnv(env_creator({}))
obs_space = test_env.observation_space
act_space = test_env.action_space
# 5. Configuration for multiagent setup with policy sharing:
config["multiagent"] = {
"policies": {
# the first tupl... | code_fim | hard | {
"lang": "python",
"repo": "ray-project/maze-raylit",
"path": "/rllib/examples/pettingzoo_env.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> env = pistonball_v1.env(local_ratio=config.get("local_ratio", 0.2))
env = dtype_v0(env, dtype=float32)
env = color_reduction_v0(env, mode="R")
env = normalize_obs_v0(env)
return env
num_cpus = 1
num_rollouts = 2
# 1. Gets default training configuration... | code_fim | hard | {
"lang": "python",
"repo": "ray-project/maze-raylit",
"path": "/rllib/examples/pettingzoo_env.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ray-project/maze-raylit path: /rllib/examples/pettingzoo_env.py
from copy import deepcopy
from numpy import float32
import os
from supersuit import normalize_obs_v0, dtype_v0, color_reduction_v0
import ray
from ray.rllib.agents.registry import get_agent_class
from ray.rllib.env import PettingZoo... | code_fim | hard | {
"lang": "python",
"repo": "ray-project/maze-raylit",
"path": "/rllib/examples/pettingzoo_env.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: scaplan/ev2-optionality path: /swed-corpus_grep.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
import sys, math
reload(sys)
sys.setdefaultencoding('utf-8')
import unicodedata
from unicodedata import normalize
def corpusGrep(searchString, fileName):
with open(fileName, 'r') as currFile:
curr... | code_fim | hard | {
"lang": "python",
"repo": "scaplan/ev2-optionality",
"path": "/swed-corpus_grep.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # check if we're reading in a word
if currLineTokens[0] == "<w":
currWordRaw = currLineTokens[-1]
currWordClean = currWordRaw[currWordRaw.find(">")+1:currWordRaw.find("<")]
currWordClean = currWordClean.lower()
currSentenceClean = currSentenceClean + " " + currWordClean
if 'VB' i... | code_fim | hard | {
"lang": "python",
"repo": "scaplan/ev2-optionality",
"path": "/swed-corpus_grep.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if 'att' in currSentenceClean:
print "\n----- " + currSentenceClean + " -----"
#for markupLine in currSentenceMarkup:
# sys.stdout.write(markupLine)
for inst in instances:
sys.stdout.write(inst+"\n")
sys.stdout.flush()
currSentenceMarkup = []
currSentenceClean... | code_fim | hard | {
"lang": "python",
"repo": "scaplan/ev2-optionality",
"path": "/swed-corpus_grep.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dboun/nnDetection path: /nndet/utils/info.py
"""
Copyright 2020 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may ... | code_fim | hard | {
"lang": "python",
"repo": "dboun/nnDetection",
"path": "/nndet/utils/info.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
return fn(*args, **kwargs)
except Exception as e:
logger.error(str(e))
raise e
return wrapper
@contextmanager
def file_logger(path: Union[str, Path], level: str = "DEBUG", overwrite: bool = True):
"""
context manager to automatically c... | code_fim | hard | {
"lang": "python",
"repo": "dboun/nnDetection",
"path": "/nndet/utils/info.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
fn: function to wrap
Returns:
Any
"""
def wrapper(*args, **kwargs):
try:
return fn(*args, **kwargs)
except Exception as e:
logger.error(str(e))
raise e
return wrapper
@contextmanager
def file_logger(path: Unio... | code_fim | hard | {
"lang": "python",
"repo": "dboun/nnDetection",
"path": "/nndet/utils/info.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: marlenebDC/pycon path: /backend/api/users/schema.py
from typing import List
import strawberry
from graphql import GraphQLError
from users.models import get_countries
from .types import Country, MeUser
<|fim_suffix|> return user
@strawberry.type
class CountryQuery:
@strawberry.fi... | code_fim | hard | {
"lang": "python",
"repo": "marlenebDC/pycon",
"path": "/backend/api/users/schema.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @strawberry.field
def countries(self, info) -> List[Country]:
resp = get_countries()
return [Country(code=country["code"], name=country["name"]) for country in resp]
@strawberry.field
def country(self, info, code: str = "") -> Country:
resp = get_countries(code)
... | code_fim | medium | {
"lang": "python",
"repo": "marlenebDC/pycon",
"path": "/backend/api/users/schema.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Returns
-------
File (Optionnal)
"""
digit_dic={'0':'Zero','1':'One','2':'Two','3':'Three','4':'Four','5':'Five','6':'Six','7':'Seven','8':'Eight','9':'Nine'}
f.write("\n% 2. Histogram sessions with given requests")
f.write("\n\\newcommand{\\%s}{%d}"%('ThresholdRequestsPerS... | code_fim | medium | {
"lang": "python",
"repo": "pedroramaciotti/LogDiv",
"path": "/logdiv/sessionfeatures/session_hist_tex.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pedroramaciotti/LogDiv path: /logdiv/sessionfeatures/session_hist_tex.py
def session_hist_tex(f, session_data,threshold_requests_per_session):
"""
Write session caracteristics in latex file
Parameters
----------
f: file
<|fim_suffix|> Returns
-------... | code_fim | medium | {
"lang": "python",
"repo": "pedroramaciotti/LogDiv",
"path": "/logdiv/sessionfeatures/session_hist_tex.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: online-behaviour/machine-learning path: /eval.py
#!/usr/bin/python3 -W all
# eval: compute precision and recall for classifier output
# usage: eval < file
# note: expects gold tag and guessed tag as final two tokens on line
# 20170413 erikt(at)xs4all.nl
import re
import sys
ALL = "" # tag r... | code_fim | medium | {
"lang": "python",
"repo": "online-behaviour/machine-learning",
"path": "/eval.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>correct = {} # dictionary with correct counts
gold = {} # dictionary with gold tag counts
guessed = {} # dictionary with guessed tag counts
correct[ALL] = 0
gold[ALL] = 0
guessed[ALL] = 0
for line in sys.stdin:
# remove final newline
line = line.rstrip()
# get the tokens on the line
to... | code_fim | medium | {
"lang": "python",
"repo": "online-behaviour/machine-learning",
"path": "/eval.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># show results
for tag in sorted(gold):
if not tag in correct: correct[tag] = 0.0
if not tag in guessed: guessed[tag] = 0.0
if guessed[tag] > 0.0: precision = float(correct[tag])/float(guessed[tag])
else: precision = 0.0
if gold[tag] > 0.0: recall = float(correct[tag])/float(gold[tag])... | code_fim | hard | {
"lang": "python",
"repo": "online-behaviour/machine-learning",
"path": "/eval.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: msmiglo/pkwscraper path: /pkwscraper/lib/dbdriver.py
structor creates empty table. `from_df` method gets
data from `pandas.DataFrame` object.
`Table` can be created as read only - the modifying and
deleting operations cannot be performed.
Records can be read directly by record I... | code_fim | hard | {
"lang": "python",
"repo": "msmiglo/pkwscraper",
"path": "/pkwscraper/lib/dbdriver.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """ DEPRECATED """
book = xlrd.open_workbook(filepath)
sheet = book.sheets()[0]
n_rows = sheet.nrows
column_names = sheet.row(0)
column_names = [col.value for col in column_names]
data = []
for i in range(1, n_rows):
row = sheet.... | code_fim | hard | {
"lang": "python",
"repo": "msmiglo/pkwscraper",
"path": "/pkwscraper/lib/dbdriver.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> data = []
for i in range(1, n_rows):
row = sheet.row(i)
record = {
column_names[j]: cell.value
for j, cell in enumerate(row)
}
data.append(record)
table_df = pd.DataFrame(data)
if column_names[... | code_fim | hard | {
"lang": "python",
"repo": "msmiglo/pkwscraper",
"path": "/pkwscraper/lib/dbdriver.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> doBAM=False
if '-bam' in sys.argv:
doBAM=True
chrominfo=sys.argv[sys.argv.index('-bam')+1]
samtools=sys.argv[sys.argv.index('-bam')+2]
chromInfoList = []
chromInfoDict = {}
linelist=open(chrominfo)
for line in linelist:
fields = l... | code_fim | hard | {
"lang": "python",
"repo": "georgimarinov/GeorgiScripts",
"path": "/SAMstats.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> SeenDict={}
SeenTwiceDict={}
doPaired=False
if '-paired' in sys.argv:
doPaired=True
print 'will treat reads as paired'
# SeenDictPaired={}
# SeenDictPairedSpliced={}
print 'examining read multiplicty'
ReadLengthDict={}
NoSeqLen = 0
if doBAM... | code_fim | hard | {
"lang": "python",
"repo": "georgimarinov/GeorgiScripts",
"path": "/SAMstats.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: georgimarinov/GeorgiScripts path: /SAMstats.py
the mate is unmapped 1
# 0x0010 16 strand of the query (0 for forward; 1 for reverse strand)
# 0x0020 32 strand of the mate 1
# 0x0040 64 the read is the first read in a pair 1,2
# 0x0080 128 the read is the second read in a pair 1,2
# 0x0100 256 the... | code_fim | hard | {
"lang": "python",
"repo": "georgimarinov/GeorgiScripts",
"path": "/SAMstats.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: blockspacer/siggraphwall path: /gen.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# vim: set ts=4:
# system modules
import os
from random import shuffle
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
# 3rd-party modules
from bibpy import bib
from PIL import Image
from staticjinja im... | code_fim | hard | {
"lang": "python",
"repo": "blockspacer/siggraphwall",
"path": "/gen.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> template_folder = os.path.join(os.getcwd(), 'templates')
renderer = Renderer(
template_folder=template_folder,
contexts=[
('index.html', get_works),
])
renderer.run(debug=True, use_reloader=False)
return 0
if __name__ == "__main__":
... | code_fim | medium | {
"lang": "python",
"repo": "blockspacer/siggraphwall",
"path": "/gen.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aither64/havesnippet path: /api/forms.py
from datetime import datetime
from django import forms
from django.db.models import F
from django.utils import timezone
from datetime import timedelta
from api.models import AuthKey
from snippet.models import Snippet, Language, ACCESSIBILITY
from snippet i... | code_fim | hard | {
"lang": "python",
"repo": "aither64/havesnippet",
"path": "/api/forms.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def clean_accessibility(self):
access = self.cleaned_data.get("accessibility")
if not access:
access = 1
if not self.user and access > 1:
raise forms.ValidationError('accessibility must be 0 or 1')
return access
def clean_expiration(self)... | code_fim | hard | {
"lang": "python",
"repo": "aither64/havesnippet",
"path": "/api/forms.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def il_to_eeschema(
inp: intermediate_lang.OutputIL, out, library: intermediate_lang.LibraryIL
):
symbols_used = set(
library.symbols[component.human_name].raw_data
for component in inp.components
if type(component) == entities.Cell
)
lib_symbols = Schemat... | code_fim | hard | {
"lang": "python",
"repo": "ThomasPDye/asg",
"path": "/asg/output/eeschema/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> components = [
component_to_eeschema(component, library) for component in inp.components
]
symbol_instances = SchematicElement(
"symbol_instances",
[
SchematicElement(
"path",
[
f"/{c.uuid}",
... | code_fim | hard | {
"lang": "python",
"repo": "ThomasPDye/asg",
"path": "/asg/output/eeschema/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ThomasPDye/asg path: /asg/output/eeschema/__init__.py
import uuid
from typing import Tuple
import asg.intermediate_lang as intermediate_lang
import asg.entities as entities
from asg.grammar import *
class SchematicElement(Atom):
def __init__(self, name, children):
super()... | code_fim | hard | {
"lang": "python",
"repo": "ThomasPDye/asg",
"path": "/asg/output/eeschema/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Team-Hydra-Hacking/Python3-NoXss path: /engine.py
method = case.method
url = case.url
headers = case.headers
body = case.body
args = case.args
old_param = args[2]
old_value = args[3]
print('Verify case use:\n%s' % url)
# time... | code_fim | hard | {
"lang": "python",
"repo": "Team-Hydra-Hacking/Python3-NoXss",
"path": "/engine.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
parse xxx.xml from burpsuite proxy.
:return:
"""
if os.path.exists(self.burp):
import base64
from xml.etree import cElementTree as ET
from model import HttpRequest, HttpResponse
with open(self.burp)as f:
... | code_fim | hard | {
"lang": "python",
"repo": "Team-Hydra-Hacking/Python3-NoXss",
"path": "/engine.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def process_param(self):
rtn = Detector.detect_param(self.request)
if rtn:
self.param_dict = rtn
@functimeout(30)
def process_reflect(self):
for param, value in list(self.param_dict.items()):
# improve accuracy
if len(value) > 1:
... | code_fim | hard | {
"lang": "python",
"repo": "Team-Hydra-Hacking/Python3-NoXss",
"path": "/engine.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: salesforce/cloudsplaining path: /cloudsplaining/output/report.py
"""Creates the HTML Reports"""
import json
import datetime
import os.path
from typing import Dict, Any
from jinja2 import Environment, FileSystemLoader
from cloudsplaining.bin.version import __version__
app_bundle_path = os.path.j... | code_fim | hard | {
"lang": "python",
"repo": "salesforce/cloudsplaining",
"path": "/cloudsplaining/output/report.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_vendor_bundle_path() -> str:
"""Finds the vendored javascript bundle even if it has a hash suffix"""
vendor_bundle_directory = os.path.join(os.path.dirname(__file__), "dist", "js")
file_list_with_full_path = []
for f in os.listdir(vendor_bundle_directory):
file_path = os.p... | code_fim | hard | {
"lang": "python",
"repo": "salesforce/cloudsplaining",
"path": "/cloudsplaining/output/report.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: omp87/vdms path: /docker/demo/examples/getDescriptors.py
import cv2
import vdms
import sys
import os
import urllib
import time
import json
import unittest
import numpy as np
import csv
import face_recognition
import util
<|fim_suffix|> # Draw a rectangle around the faces
counter = 0
f... | code_fim | hard | {
"lang": "python",
"repo": "omp87/vdms",
"path": "/docker/demo/examples/getDescriptors.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # compute the facial embedding for the face
encodings = face_recognition.face_encodings(rgb, boxes)
# Draw a rectangle around the faces
counter = 0
for (top, right, bottom, left) in boxes:
cv2.rectangle(image, (left, top), (right, bottom), (0, 255, 0), 2)
y = top - 15 ... | code_fim | hard | {
"lang": "python",
"repo": "omp87/vdms",
"path": "/docker/demo/examples/getDescriptors.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
('logistica', '0057_alter_notafiscal_data_base'),
]
operations = [
migrations.AlterField(
model_name='notafiscal',
name='empresa',
field=models.SmallIntegerField(choices=[(1, 'Tussor'), (2, 'Agator'), (3, 'Corte'), (4, 'Gav... | code_fim | easy | {
"lang": "python",
"repo": "anselmobd/fo2",
"path": "/src/logistica/migrations/0058_alter_notafiscal_empresa.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('logistica', '0057_alter_notafiscal_data_base'),
]
operations = [
migrations.AlterField(
model_name='notafiscal',
name='empresa',
field=models.SmallIntegerField(choices=[(1, 'Tussor'), (2, 'Agator'), (3, 'Corte'), (4, 'Gavi... | code_fim | easy | {
"lang": "python",
"repo": "anselmobd/fo2",
"path": "/src/logistica/migrations/0058_alter_notafiscal_empresa.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: anselmobd/fo2 path: /src/logistica/migrations/0058_alter_notafiscal_empresa.py
# Generated by Django 3.2.16 on 2023-07-24 15:09
from django.db import migrations, models
<|fim_suffix|> dependencies = [
('logistica', '0057_alter_notafiscal_data_base'),
]
operations = [
... | code_fim | easy | {
"lang": "python",
"repo": "anselmobd/fo2",
"path": "/src/logistica/migrations/0058_alter_notafiscal_empresa.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dhivyadharshin/pytorch path: /tools/test/test_translate_annotations.py
import re
import unittest
from tools.linter.translate_annotations import parse_annotation, parse_diff, translate
flake8_regex \
= r'^(?P<filename>.*?):(?P<lineNumber>\d+):(?P<columnNumber>\d+): (?P<errorCode>\w+\d+) (?P<... | code_fim | hard | {
"lang": "python",
"repo": "dhivyadharshin/pytorch",
"path": "/tools/test/test_translate_annotations.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_parse_diff_haskell(self) -> None:
self.assertEqual(
parse_diff(haskell_diff),
{
'old_filename': 'hello.hs',
'hunks': [
{
'old_start': 1,
'old_count': 1,
... | code_fim | hard | {
"lang": "python",
"repo": "dhivyadharshin/pytorch",
"path": "/tools/test/test_translate_annotations.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # at this point, we have a stretch of lines that are identical
# in both versions of the file, but the original version of the
# file had 4 lines before this section whereas the new version
# has only 3 lines before this section
self.assertEqual(translate(diff, 4), ... | code_fim | hard | {
"lang": "python",
"repo": "dhivyadharshin/pytorch",
"path": "/tools/test/test_translate_annotations.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Checks if coin's parent ID matches the ID from the condition
"""
if unspent.coin.parent_coin_info != condition.vars[0]:
return Err.ASSERT_MY_PARENT_ID_FAILED
return None
def mempool_assert_my_puzzlehash(condition: ConditionWithArgs, unspent: CoinRecord) -> Optional[Err]:
... | code_fim | hard | {
"lang": "python",
"repo": "Aloe-Network/aloe-blockchain",
"path": "/aloe/full_node/mempool_check_conditions.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Aloe-Network/aloe-blockchain path: /aloe/full_node/mempool_check_conditions.py
import time
from typing import Dict, List, Optional, Set
from aloe.consensus.cost_calculator import NPCResult
from aloe.full_node.generator import create_generator_args, setup_generator_args
from aloe.types.blockchain... | code_fim | hard | {
"lang": "python",
"repo": "Aloe-Network/aloe-blockchain",
"path": "/aloe/full_node/mempool_check_conditions.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rennat/django_delta_logger path: /src/django_delta_logger/migrations/0001_initial.py
# Generated by Django 2.2.3 on 2019-07-31 01:53
from django.db import migrations, models
import django.db.models.deletion
import django_delta_logger
import django_delta_logger.fields
<|fim_suffix|> operation... | code_fim | medium | {
"lang": "python",
"repo": "rennat/django_delta_logger",
"path": "/src/django_delta_logger/migrations/0001_initial.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> initial = True
dependencies = [
('contenttypes', '0002_remove_content_type_name'),
]
operations = [
migrations.CreateModel(
name='DeltaEvent',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, ve... | code_fim | medium | {
"lang": "python",
"repo": "rennat/django_delta_logger",
"path": "/src/django_delta_logger/migrations/0001_initial.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: haihua-sysu/onlinejudge path: /web/contest/views.py
#!/usr/bin/env python
# coding: utf-8
from django.core.context_processors import csrf
from django.template import Context, RequestContext
from django.http import HttpResponseRedirect
from django.shortcuts import get_object_or_404, render_to_re... | code_fim | hard | {
"lang": "python",
"repo": "haihua-sysu/onlinejudge",
"path": "/web/contest/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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