text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: BrianLTJ/se-project path: /book/category.py
'''
Author: Tingjun Li
Create Time: 2017-04-10
Function: Find and show book details
'''
from django.http import JsonResponse
from django.core import serializers, exceptions
import json
from django.views.decorators.csrf import csrf_exempt, csrf_protect
f... | code_fim | hard | {
"lang": "python",
"repo": "BrianLTJ/se-project",
"path": "/book/category.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> response_data = {}
response_data['result'] = 'error'
try:
tags = Tag.objects.all()
respdata = list()
for item in tags:
tagitem = {}
tagitem['id']=item.id
tagitem['text']=item.text
tagitem['note']=item.note
resp... | code_fim | hard | {
"lang": "python",
"repo": "BrianLTJ/se-project",
"path": "/book/category.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
ExportObjectGroupToFBX('Loop_A')
ExportObjectGroupToFBX('Road_A')
ExportObjectGroupToFBX('Road_B')
ExportObjectGroupToFBX('Road_C')
ExportObjectGroupToFBX('Road_D')
ExportObjectGroupToFBX('Road_E')
ExportObjectGroupToFBX('Road_Building_01')<|fim_prefi... | code_fim | medium | {
"lang": "python",
"repo": "purpl3grape/Blender-Scripting",
"path": "/BL_BatchSelectedExporter.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if(ob.name.startswith(objectName)):
bpy.context.view_layer.objects.active = ob
bpy.data.objects[ob.name].select_set(True)
obsToExport.add(bpy.data.objects[ob.name])
else:
bpy.data.objects[ob.name].select_set(False)
#ob.select = True
... | code_fim | hard | {
"lang": "python",
"repo": "purpl3grape/Blender-Scripting",
"path": "/BL_BatchSelectedExporter.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: purpl3grape/Blender-Scripting path: /BL_BatchSelectedExporter.py
import bpy
import os
# get the path where the blend file is located
ExportDir = bpy.path.abspath('C:/Users/peter/Documents/Purpl3grapeLaptop/GitHub/Blender/FlightRunnerLevel/Export2')
def ExportObjectGroupToFBX(objectName):
<|fi... | code_fim | hard | {
"lang": "python",
"repo": "purpl3grape/Blender-Scripting",
"path": "/BL_BatchSelectedExporter.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>total = 0
with open(strong, 'r') as file:
for line in file:
total += 1
file.close()
print("Total strong: ", total)<|fim_prefix|># repo: Gabriel0110/ML_Password_Classifier path: /get_list_totals.py
weak = "weak_master_list.txt"
strong = "strong_master_list.txt"
total = 0
<|... | code_fim | medium | {
"lang": "python",
"repo": "Gabriel0110/ML_Password_Classifier",
"path": "/get_list_totals.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Gabriel0110/ML_Password_Classifier path: /get_list_totals.py
weak = "weak_master_list.txt"
strong = "strong_master_list.txt"
total = 0
with open(weak, 'r') as file:
for line in file:
total += 1
file.close()
<|fim_suffix|>with open(strong, 'r') as file:
for line i... | code_fim | easy | {
"lang": "python",
"repo": "Gabriel0110/ML_Password_Classifier",
"path": "/get_list_totals.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>for i in range(n):
if abs(a - (t-h[i]*0.006)) < near:
ans = i+1
near = abs(a - (t-h[i]*0.006))
print(ans)<|fim_prefix|># repo: Aasthaengg/IBMdataset path: /Python_codes/p03220/s070097212.py
import sys
n = int(input())
t,a = map(int,input().split())
h = list(map(int,input().split()))
<|fim_mid... | code_fim | easy | {
"lang": "python",
"repo": "Aasthaengg/IBMdataset",
"path": "/Python_codes/p03220/s070097212.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Aasthaengg/IBMdataset path: /Python_codes/p03220/s070097212.py
import sys
n = int(input())
t,a = map(int,input().split())
h = list(map(int,input().split()))
<|fim_suffix|>for i in range(n):
if abs(a - (t-h[i]*0.006)) < near:
ans = i+1
near = abs(a - (t-h[i]*0.006))
print(ans)<|fim_mid... | code_fim | easy | {
"lang": "python",
"repo": "Aasthaengg/IBMdataset",
"path": "/Python_codes/p03220/s070097212.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: YuLiuCU/summer-research path: /preprocessing_0729.py
#!/usr/bin/env python
# coding: utf-8
# In[ ]:
import pandas as pd
import numpy as np
class preprocess():
def __init__(self,filepath):
self.df=pd.read_csv(filepath)
self.transform_date()
self.... | code_fim | hard | {
"lang": "python",
"repo": "YuLiuCU/summer-research",
"path": "/preprocessing_0729.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>data_prepared=preprocess('val.csv')
data_prepared.raw_dataframe.to_csv('val_raw.csv')
data_prepared.trainning_dataframe.to_csv('val_data.csv')
data_prepared.std_dataframe.to_csv('val_std.csv')
data_prepared.mean_dataframe.to_csv('val_mean.csv')
data_prepared=preprocess('train.csv')
data_prepared.raw_data... | code_fim | hard | {
"lang": "python",
"repo": "YuLiuCU/summer-research",
"path": "/preprocessing_0729.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: a-pinch/prog_hadoop path: /41_14/crossCorrelationMapper.py
#! /usr/bin/python3
import sys
H= {}
oldLine = ''
for line in sys.stdin:
items = line.strip().split<|fim_suffix|> if(i != j): print(str(i)+","+str(j)+"\t1")<|fim_middle|>(" ")
for i in items :
for j in items:
| code_fim | easy | {
"lang": "python",
"repo": "a-pinch/prog_hadoop",
"path": "/41_14/crossCorrelationMapper.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if(i != j): print(str(i)+","+str(j)+"\t1")<|fim_prefix|># repo: a-pinch/prog_hadoop path: /41_14/crossCorrelationMapper.py
#! /usr/bin/python3
import sys
H= {}
oldLine = ''
for line in sys.stdin:
items = line.strip().split<|fim_middle|>(" ")
for i in items :
for j in items:
| code_fim | easy | {
"lang": "python",
"repo": "a-pinch/prog_hadoop",
"path": "/41_14/crossCorrelationMapper.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> print '\nThese files are not currently found in strflab_release_includes.txt, you may want to add some of them:'
currentFiles = []
list_files(currentFiles, wdir, wdir, '\.svn|.m~')
for cfile in currentFiles:
if cfile not in releaseFiles:
print cf... | code_fim | hard | {
"lang": "python",
"repo": "theunissenlab/strflab",
"path": "/release_helper.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: theunissenlab/strflab path: /release_helper.py
import string
import os
import sys
import re
import shutil
def list_files(fileList, rootDir, origRootDir, excludeExpr):
for fname in os.listdir(rootDir):
fullName = os.path.join(rootDir, fname)
if re.search(excludeExpr, fname) is ... | code_fim | hard | {
"lang": "python",
"repo": "theunissenlab/strflab",
"path": "/release_helper.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rero/developer-resources path: /data/examples/03_TransactionRequest.py
#!/usr/bin/env python3
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from tables import Animal
# Lien avec la base de données
engine = create_engine('sqlite:///database.db')
# Création de plu... | code_fim | hard | {
"lang": "python",
"repo": "rero/developer-resources",
"path": "/data/examples/03_TransactionRequest.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Transaction - version 2: avec erreur (et donc try/except)
# SI une erreur survient => un rollback est effectué
display_count(2)
session2.begin_nested()
try:
session2.add(giraffe)
raise
session2.add(monkey)
session2.commit()
except:
# no rollback
pass
# version 2 : vérification
as... | code_fim | hard | {
"lang": "python",
"repo": "rero/developer-resources",
"path": "/data/examples/03_TransactionRequest.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CPS-VIDA/elaborate-bhnr path: /src/drone_gym/envs/simple/quadrotor/quadcopter_env.py
import argparse
import logging
from abc import ABC, abstractmethod
import gym
from .gui import GUI
from .quadcopter import Quadcopter
log = logging.getLogger(__name__)
TIME_SCALING = 1.0
QUAD_DYNAMICS_UPDATE ... | code_fim | hard | {
"lang": "python",
"repo": "CPS-VIDA/elaborate-bhnr",
"path": "/src/drone_gym/envs/simple/quadrotor/quadcopter_env.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
def reset(self):
log.debug('Resetting QuadSim')
self._do_reset()
self.timestep = 0
return self._get_obs()
@abstractmethod
def _do_reset(self):
pass
def render(self, mode='human'):
if self.gui is None:
self.gui = GU... | code_fim | hard | {
"lang": "python",
"repo": "CPS-VIDA/elaborate-bhnr",
"path": "/src/drone_gym/envs/simple/quadrotor/quadcopter_env.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DoublePan-Oh/DataProcess path: /dataProcess.py
from PIL import Image
from PIL import ImageEnhance
import os
import cv2
import numpy as np
import time
import random
import shutil
imageDir="G:\\posture_detection\\res_phone\\20210315\\phone_coco_1\\" #要改变的图片的路径文件夹
saveDir="G:\\posture_detection\\re... | code_fim | hard | {
"lang": "python",
"repo": "DoublePan-Oh/DataProcess",
"path": "/dataProcess.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if way == 4:
"""
划分训练集和验证集（测试集）,并将图片复制到其他路径下
"""
paths = "G:\\posture_detection\\res_phone\\20210311\\jiangcun\\" # 测试图片的路径
filenames = os.listdir(paths)
# 获取txt文件对应的图像文件
files = []
for file in filenames:
files.append(file)
random.shuffle(files)# 乱序
train... | code_fim | hard | {
"lang": "python",
"repo": "DoublePan-Oh/DataProcess",
"path": "/dataProcess.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
对图像进行颜色抖动
:param image: PIL的图像image
:return: 有颜色色差的图像image
"""
image = Image.open(os.path.join(root_path, img_name))
random_factor = np.random.randint(0, 31) / 10. # 随机因子
color_image = ImageEnhance.Color(image).enhance(random_factor) # 调整图像的饱和度
random_factor = np.... | code_fim | hard | {
"lang": "python",
"repo": "DoublePan-Oh/DataProcess",
"path": "/dataProcess.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pombredanne/scripts-3 path: /main/pydef.py
"""Add a New Function / Alias to your bashrc / zshrc in Alphabetical Order"""
from dataclasses import dataclass
import os
import re
import subprocess as sp
import sys
from typing import List, Optional, Sequence
from bugyi import cli
from bugyi.core imp... | code_fim | hard | {
"lang": "python",
"repo": "pombredanne/scripts-3",
"path": "/main/pydef.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if m_filename is None:
raise RuntimeError(
"No alias/function section could be found with the following"
f" marker: {marker}"
)
with open(m_filename, 'w') as f:
f.writelines(m_new_lines)
cursor_call = f"call cursor({line_number}, {column_numbe... | code_fim | hard | {
"lang": "python",
"repo": "pombredanne/scripts-3",
"path": "/main/pydef.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> parser = cli.ArgumentParser()
parser.add_argument(
'name', metavar='NAME', help='Name of the new function / alias.'
)
parser.add_argument(
'-a',
'--alias',
action='store_true',
help='Define alias instead of function.',
)
parser.add_argument(... | code_fim | hard | {
"lang": "python",
"repo": "pombredanne/scripts-3",
"path": "/main/pydef.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: seniordev0425/Python-Rafflee path: /social_network/migrations/0040_auto_20200511_0815.py
# Generated by Django 2.2.12 on 2020-05-11 08:15
from django.db import migrations, models
<|fim_suffix|>
dependencies = [
('social_network', '0039_auto_20200509_1506'),
]
operations = ... | code_fim | medium | {
"lang": "python",
"repo": "seniordev0425/Python-Rafflee",
"path": "/social_network/migrations/0040_auto_20200511_0815.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AddField(
model_name='socialnetwork',
name='twitch_channel_id',
field=models.CharField(max_length=200, null=True),
),
migrations.AddField(
model_name='socialnetwork',
name='twitch_channel_url'... | code_fim | medium | {
"lang": "python",
"repo": "seniordev0425/Python-Rafflee",
"path": "/social_network/migrations/0040_auto_20200511_0815.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dmathews98/Computer-Simulation path: /cp3/Mandelbrot.py
'''
Class for Mandelbrot Set
'''
import cmath as cm #needed for complex numbers
import numpy as np #needed for meshgrid 2D arrays and vectorization
import matplotlib.pyplot as plt #needed to plot the graph
<|fim_suffix|> CReal, CIma... | code_fim | hard | {
"lang": "python",
"repo": "dmathews98/Computer-Simulation",
"path": "/cp3/Mandelbrot.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> CReal, CImag = np.meshgrid(self.Creal, self.Cimag)
vCalc_z = np.vectorize(self.findn) #Vectorises the function to allow supply of np array and to act on all values in the array
N = vCalc_z(CReal, CImag)
plt.imshow(N, extent = (CReal.min(), CReal.max(), CImag.min(), CImag.ma... | code_fim | hard | {
"lang": "python",
"repo": "dmathews98/Computer-Simulation",
"path": "/cp3/Mandelbrot.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: daniel-muthukrishna/SNClassifying_Pre-alpha path: /deep_learning_training.py
import matplotlib.pyplot as plt
import numpy as np
import itertools
import tensorflow as tf
loaded = np.load('type_age_atRedshiftZero.npz')
trainImages = loaded['trainImages']
trainLabels = loaded['trainLabels']
#trainF... | code_fim | hard | {
"lang": "python",
"repo": "daniel-muthukrishna/SNClassifying_Pre-alpha",
"path": "/deep_learning_training.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
yy = sess.run(y, feed_dict={x: testImages, y_: testLabels})
cp = sess.run(correct_prediction, feed_dict={x: testImages, y_: testLabels})
print(cp)
for i in range(len(cp)):
if (cp[i] == False):
predictedIndex = np.argmax(yy[i])
print(i, testTypeNames[i], typeNamesList[predictedIndex])
... | code_fim | hard | {
"lang": "python",
"repo": "daniel-muthukrishna/SNClassifying_Pre-alpha",
"path": "/deep_learning_training.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> im = Image.open("./tests/sample_screenshot.png")
cells = mrc.get_nearby_towns_cell_images(im)
bars = mrc.get_bar_images_from_cells(cells)
self.assertEquals((190, 1), bars[3].size)
def test_convert_bar_to_rates(self):
rates = mrc.convert_bar_to_rates([])
... | code_fim | medium | {
"lang": "python",
"repo": "yerihyo/uwo_ps_utils",
"path": "/tests/market_rates_cropper_test.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yerihyo/uwo_ps_utils path: /tests/market_rates_cropper_test.py
import unittest
from PIL import Image
from uwo_ps_utils import market_rates_cropper as mrc
class MarketRatesCropperTest(unittest.TestCase):
def test_get_selected_goods_cell(self):
<|fim_suffix|> im = Image.open("./tests/... | code_fim | hard | {
"lang": "python",
"repo": "yerihyo/uwo_ps_utils",
"path": "/tests/market_rates_cropper_test.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_get_bar_images_from_cells(self):
im = Image.open("./tests/sample_screenshot.png")
cells = mrc.get_nearby_towns_cell_images(im)
bars = mrc.get_bar_images_from_cells(cells)
self.assertEquals((190, 1), bars[3].size)
def test_convert_bar_to_rates(self):
... | code_fim | medium | {
"lang": "python",
"repo": "yerihyo/uwo_ps_utils",
"path": "/tests/market_rates_cropper_test.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Write your code here
begin = 0
end = len(s)-1
aZ = "1234567890qwertyuiopasdfghjklzxcvbnmQWERTYUIOPASDFGHJKLZXCVBNM"
while(begin+1 <= end):
while(1):
#print "begin:%d ,%s" % (begin, s[begin])
if begin == end:
... | code_fim | hard | {
"lang": "python",
"repo": "litaotju/lintcode",
"path": "/415_valid-palindrome/valid-palindrome.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: litaotju/lintcode path: /415_valid-palindrome/valid-palindrome.py
# coding:utf-8
'''
@Copyright:LintCode
@Author: taoleetju
@Problem: http://www.lintcode.com/problem/valid-palindrome
@Language: Python
@Datetime: 15-10-06 14:23
'''
<|fim_suffix|> # @param {string} s A string
# @return {... | code_fim | hard | {
"lang": "python",
"repo": "litaotju/lintcode",
"path": "/415_valid-palindrome/valid-palindrome.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> meta = meta_tags(*args, **kwargs)
template = [
'<meta property="og:%s" content="{%s}">' % (key, key)
for key in sorted(meta.keys())
if key not in ('canonical',)
]
template.append(
'<meta name="description" content="{description}">'
)
if meta.get('can... | code_fim | hard | {
"lang": "python",
"repo": "barseghyanartur/feincms3-meta",
"path": "/feincms3_meta/utils.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> top_100_positive = {word for word, count in positive_fd.most_common(100)}
top_100_negative = {word for word, count in negative_fd.most_common(100)}
features = [
(extract_features(nltk.corpus.movie_reviews.raw(review)), "pos")
for review in nltk.corpus.movie_reviews.fileids(categories=[... | code_fim | hard | {
"lang": "python",
"repo": "ConorMcKeever/CSC4006_FYP",
"path": "/app/initModel.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ConorMcKeever/CSC4006_FYP path: /app/initModel.py
from nltk.stem.wordnet import WordNetLemmatizer
from nltk.corpus import twitter_samples, stopwords, movie_reviews
from nltk.tag import pos_tag
from nltk.tokenize import word_tokenize
from nltk import FreqDist, classify, NaiveBayesClassifier
import... | code_fim | hard | {
"lang": "python",
"repo": "ConorMcKeever/CSC4006_FYP",
"path": "/app/initModel.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def initModel():
positive_tweets = twitter_samples.strings('positive_tweets.json')
negative_tweets = twitter_samples.strings('negative_tweets.json')
tweet_tokens = twitter_samples.tokenized('positive_tweets.json')[0]
stop_words = stopwords.words('english')
positive_tweet_tokens = tw... | code_fim | hard | {
"lang": "python",
"repo": "ConorMcKeever/CSC4006_FYP",
"path": "/app/initModel.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return True
def get_image():
img = drone.get_frame_read().frame
img = cv2.resize(img, (WIDTH,HEIGHT))
cv2.imshow("Image", img)
cv2.waitKey(1)
def main():
if not init():
return False
while True:
img = get_image()
... | code_fim | hard | {
"lang": "python",
"repo": "shubhxm02/tello-sg",
"path": "/files/telloFaceControl.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> img = drone.get_frame_read().frame
img = cv2.resize(img, (WIDTH,HEIGHT))
cv2.imshow("Image", img)
cv2.waitKey(1)
def main():
if not init():
return False
while True:
img = get_image()
img, face_info = utils.... | code_fim | hard | {
"lang": "python",
"repo": "shubhxm02/tello-sg",
"path": "/files/telloFaceControl.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shubhxm02/tello-sg path: /files/telloFaceControl.py
import FaceControlUtils as utils
from djitellopy import tello
from time import sleep
import cv2
drone = tello.Tello()
HEIGHT, WIDTH = 360, 240
def init():
# connect the drone
drone.connect()
drone.streamon()
bat... | code_fim | hard | {
"lang": "python",
"repo": "shubhxm02/tello-sg",
"path": "/files/telloFaceControl.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AlbiziaLebbeck/LidarBot path: /Python/testBreezySLAM.py
import scipy.io as sio
from breezyslam.algorithms import RMHC_SLAM
from breezyslam.sensors import RPLidarA1 as LaserModel
from PIL import Image
import matplotlib.pyplot as plt
import numpy as np
MAP_SIZE_PIXELS = 500
MAP_SIZE_METERS... | code_fim | hard | {
"lang": "python",
"repo": "AlbiziaLebbeck/LidarBot",
"path": "/Python/testBreezySLAM.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> mapbytes[y_pix * MAP_SIZE_PIXELS + x_pix] = 0
image = Image.frombuffer('L', (MAP_SIZE_PIXELS, MAP_SIZE_PIXELS), mapbytes, 'raw', 'L', 0, 1)
# image.save('img_map.png')
plt.figure()
plt.imshow(image)
plt.show()<|fim_prefix|># repo: AlbiziaLebbeck/LidarBot path: /Python/testBreezySLAM.py
import scipy.... | code_fim | hard | {
"lang": "python",
"repo": "AlbiziaLebbeck/LidarBot",
"path": "/Python/testBreezySLAM.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Update SLAM with current Lidar scan and scan angles if adequate
slam.update(distances, scan_angles_degrees=angles)
# Get current robot position
x_mm, y_mm, theta_degrees = slam.getpos()
trajectory.append((x_mm, y_mm))
def mm2pix(mm):
return int(mm / (MAP_SIZE_METERS * 1000. /... | code_fim | hard | {
"lang": "python",
"repo": "AlbiziaLebbeck/LidarBot",
"path": "/Python/testBreezySLAM.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>hist = pygal.Bar()
hist.title = "Results of rolling one D6 100 times."
hist.x_labels = ['1', '2', '3', '4', '5', '6']
hist.x_title = "Result"
hist.y_title = "Frequency of Result"
hist.add('D6', frequencies)
hist.render_to_file('die_visual.svg')<|fim_prefix|># repo: ma-henderson/python_projects path: /1... | code_fim | medium | {
"lang": "python",
"repo": "ma-henderson/python_projects",
"path": "/13_api_test.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>hist.title = "Results of rolling one D6 100 times."
hist.x_labels = ['1', '2', '3', '4', '5', '6']
hist.x_title = "Result"
hist.y_title = "Frequency of Result"
hist.add('D6', frequencies)
hist.render_to_file('die_visual.svg')<|fim_prefix|># repo: ma-henderson/python_projects path: /13_api_test.py
import... | code_fim | medium | {
"lang": "python",
"repo": "ma-henderson/python_projects",
"path": "/13_api_test.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ma-henderson/python_projects path: /13_api_test.py
import pygal
dummy_data = [4, 6, 5, 6, 1, 5, 6, 3, 5, 3, 5, 3, 2, 2, 1, 3, 1, 5, 3, 6, 3, 6, 5, 4,
1, 1, 4, 2, 3, 6, 4, 2, 6, 4, 1, 3, 2, 5, 6, 3, 6, 2, 1, 1, 3, 4, 1, 4,
3, 5, 1, 4, 5, 5, 2, 3, 3, 1, 2, 3, 5, 6, 2, 5, 6, 1, 3, 2, 1, 1, 1, 6,
... | code_fim | medium | {
"lang": "python",
"repo": "ma-henderson/python_projects",
"path": "/13_api_test.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dayatz/ed path: /todolist/models.py
from django.db import models
from django.contrib.auth.models import User
<|fim_suffix|> def __unicode__(self):
return self.name
class Board(Common):
user = models.ForeignKey(User, related_name='boards')
description = models.TextField(null=... | code_fim | medium | {
"lang": "python",
"repo": "dayatz/ed",
"path": "/todolist/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Todo(Common):
list = models.ForeignKey(List, related_name='todos')
approved = models.BooleanField(default=False)<|fim_prefix|># repo: dayatz/ed path: /todolist/models.py
from django.db import models
from django.contrib.auth.models import User
class Common(models.Model):
class Meta:
... | code_fim | hard | {
"lang": "python",
"repo": "dayatz/ed",
"path": "/todolist/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>rint("| 0 |")
print("| 0 0 |")
print("---------")
if number==6:
print("---------")
print("| 0 0 0 |")
print("| |")
print("| 0 0 0 |")
print("---------")
x=input("Press y to roll again")<|fim_prefix|># repo: Anushri-VK/python_games path: /dice.py
import random
print("This is a ... | code_fim | hard | {
"lang": "python",
"repo": "Anushri-VK/python_games",
"path": "/dice.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Anushri-VK/python_games path: /dice.py
import random
print("This is a dice stimulator")
x="y"
while x=="y":
number=random.randint(1,6)
if number==1:
print("---------")
print("| |")
print("| 0 |")
print("| |")
print("-------<|fim_suffix|> 0 |")
print("---------")
... | code_fim | hard | {
"lang": "python",
"repo": "Anushri-VK/python_games",
"path": "/dice.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fuglede/adventofcode path: /2018/day15/solutions.py
from itertools import count
from collections import deque
import os
import matplotlib.pyplot as plt
with open('input') as f:
lines = [x.strip() for x in f.readlines()]
class Unit:
hp = 200
is_alive = True
class Goblin(Unit):
... | code_fim | hard | {
"lang": "python",
"repo": "fuglede/adventofcode",
"path": "/2018/day15/solutions.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if isinstance(s, Goblin):
return 'G'
if isinstance(s, Elf):
return 'E'
return s
return '\n'.join(''.join(render_square(self.field[(x, y)]) for x in range(self._width)) for y in range(self._height))
def render_image(self):
... | code_fim | hard | {
"lang": "python",
"repo": "fuglede/adventofcode",
"path": "/2018/day15/solutions.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def stereoKeyBind():
keyboard.add_hotkey('Ctrl + Alt + Up', soundProfile, args=('/Enable', False))
keyboard.add_hotkey('Ctrl + Alt + Down', soundProfile, args=('/Disable', True))
def heroKeyBind(count, name):
keyboard.unhook_all_hotkeys()
for i in range(count):
for extra_key in k... | code_fim | medium | {
"lang": "python",
"repo": "heh-mde/CringeSounds",
"path": "/code/keybinds.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: heh-mde/CringeSounds path: /code/keybinds.py
import keyboard
import threading
from sound import *
hero = None
pressed_key = ""
is_stereo_on = False
key_list = ['', '+k', '+g', '+capslock', '+shift', '+w', '+a', '+s', '+d']
<|fim_suffix|>
def heroKeyBind(count, name):
keyboard.unhook_all_ho... | code_fim | hard | {
"lang": "python",
"repo": "heh-mde/CringeSounds",
"path": "/code/keybinds.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def stereoKeyBind():
keyboard.add_hotkey('Ctrl + Alt + Up', soundProfile, args=('/Enable', False))
keyboard.add_hotkey('Ctrl + Alt + Down', soundProfile, args=('/Disable', True))
def heroKeyBind(count, name):
keyboard.unhook_all_hotkeys()
for i in range(count):
for extra_key in ... | code_fim | medium | {
"lang": "python",
"repo": "heh-mde/CringeSounds",
"path": "/code/keybinds.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dundunmao/LeetCode2019 path: /992. Subarrays with K Different Integers.py
import collections
class Solution:
def subarraysWithKDistinct(self, A: List[int], K: int) -> int:
for_k = self.lengthOfLongestSubstringKDistinct(A, K)
for_k_minus = self.lengthOfLongestSubstringKDistin... | code_fim | hard | {
"lang": "python",
"repo": "dundunmao/LeetCode2019",
"path": "/992. Subarrays with K Different Integers.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>A = [2,2,1,2,2,2,1,1]
K = 2 # 23
print(s.subarraysWithKDistinct(A,K))
A = [1, 2]
K = 1 # 2
print(s.subarraysWithKDistinct(A,K))
A = [1,2,1,2,3]
K = 2 # 7
print(s.subarraysWithKDistinct(A,K))
A = [1, 2, 1, 3, 4]
K = 3 # 3
print(s.subarraysWithKDistinct(A,K))<|fim_prefix|># repo: dundunmao/LeetCode2019 pa... | code_fim | medium | {
"lang": "python",
"repo": "dundunmao/LeetCode2019",
"path": "/992. Subarrays with K Different Integers.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>A = [1, 2]
K = 1 # 2
print(s.subarraysWithKDistinct(A,K))
A = [1,2,1,2,3]
K = 2 # 7
print(s.subarraysWithKDistinct(A,K))
A = [1, 2, 1, 3, 4]
K = 3 # 3
print(s.subarraysWithKDistinct(A,K))<|fim_prefix|># repo: dundunmao/LeetCode2019 path: /992. Subarrays with K Different Integers.py
import collections
c... | code_fim | hard | {
"lang": "python",
"repo": "dundunmao/LeetCode2019",
"path": "/992. Subarrays with K Different Integers.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abhishekpattnaik/Batch_Project path: /batch_app/urls.py
from django.urls import path
<|fim_suffix|>urlpatterns = [
# path('dashboard/', views.view1, name='index'),
# path('login/', views.loginPage, name="login"),
# path('logout/', views.logoutUser, name="logout"),
path('home/', views.Ho... | code_fim | easy | {
"lang": "python",
"repo": "abhishekpattnaik/Batch_Project",
"path": "/batch_app/urls.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>urlpatterns = [
# path('dashboard/', views.view1, name='index'),
# path('login/', views.loginPage, name="login"),
# path('logout/', views.logoutUser, name="logout"),
path('home/', views.Home, name="home"),
]<|fim_prefix|># repo: abhishekpattnaik/Batch_Project path: /batch_app/urls.py
from django... | code_fim | easy | {
"lang": "python",
"repo": "abhishekpattnaik/Batch_Project",
"path": "/batch_app/urls.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: programmingkids/python-test-level2 path: /test03/test06.py
# 実行結果
# 18
# 関数「multiply」を修正してはいけません
def multiply( number1, number2 ) :
answer = number1 * number2
return answer
<|fim_suffix|># ここより下側に関数を呼び出す処理を作成します<|fim_middle|>a = 3
b = 6
| code_fim | easy | {
"lang": "python",
"repo": "programmingkids/python-test-level2",
"path": "/test03/test06.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>a = 3
b = 6
# ここより下側に関数を呼び出す処理を作成します<|fim_prefix|># repo: programmingkids/python-test-level2 path: /test03/test06.py
# 実行結果
# 18
# 関数「multiply」を修正してはいけません
def multiply( number1, number2 ) :
<|fim_middle|> answer = number1 * number2
return answer
| code_fim | easy | {
"lang": "python",
"repo": "programmingkids/python-test-level2",
"path": "/test03/test06.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
a = 3
b = 6
# ここより下側に関数を呼び出す処理を作成します<|fim_prefix|># repo: programmingkids/python-test-level2 path: /test03/test06.py
# 実行結果
# 18
# 関数「multiply」を修正してはいけません
def multiply( number1, number2 ) :
<|fim_middle|> answer = number1 * number2
return answer
| code_fim | easy | {
"lang": "python",
"repo": "programmingkids/python-test-level2",
"path": "/test03/test06.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JoshCrusader/Octomind path: /utils/federate.py
import gspread
from oauth2client.service_account import ServiceAccountCredentials
from django.utils import timezone
from octo_site.models import Game, GameDetails, Room, Players, Teams, LocDictionary, Offlinegames, PlayersCity, Voucher
num_col = 55 ... | code_fim | hard | {
"lang": "python",
"repo": "JoshCrusader/Octomind",
"path": "/utils/federate.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> elif (cell.col == 3):
if(cell.value != ""):
data_obj['has_voucher'] = 1
else:
data_obj['has_voucher'] = 0
data_obj['vouchername'] = cell.value
elif (cell.col == 4):
... | code_fim | hard | {
"lang": "python",
"repo": "JoshCrusader/Octomind",
"path": "/utils/federate.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JT4life/PythonRevisePractice path: /list2.py
list2 = [1,2,"3",3]
list3 = []
list4 = [<|fim_suffix|>ist4.append(i)
print(list3)
print(list4)<|fim_middle|>]
for i in list2:
if i.isdigit():
list3.append(i)
else:
l | code_fim | medium | {
"lang": "python",
"repo": "JT4life/PythonRevisePractice",
"path": "/list2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> list3.append(i)
else:
list4.append(i)
print(list3)
print(list4)<|fim_prefix|># repo: JT4life/PythonRevisePractice path: /list2.py
list2 = [1,2,"3",3]
list3 = []
list4 = [<|fim_middle|>]
for i in list2:
if i.isdigit():
| code_fim | easy | {
"lang": "python",
"repo": "JT4life/PythonRevisePractice",
"path": "/list2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>ist4.append(i)
print(list3)
print(list4)<|fim_prefix|># repo: JT4life/PythonRevisePractice path: /list2.py
list2 = [1,2,"3",3]
list3 = []
list4 = [<|fim_middle|>]
for i in list2:
if i.isdigit():
list3.append(i)
else:
l | code_fim | medium | {
"lang": "python",
"repo": "JT4life/PythonRevisePractice",
"path": "/list2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: qsweber/geo-journal path: /src/geo_journal/app/http.py
from datetime import datetime
from decimal import Decimal
from functools import wraps
import logging
import json
import typing
from jsonschema import validate # type: ignore
from flask import Flask, jsonify, request, Response, g
from raven... | code_fim | hard | {
"lang": "python",
"repo": "qsweber/geo-journal",
"path": "/src/geo_journal/app/http.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return wrapper
def authenticate(
func: typing.Callable[..., Response]
) -> typing.Callable[..., Response]:
@wraps(func)
def what_gets_called(*args: typing.Any, **kwargs: typing.Any) -> Response:
try:
jwt = decode(request.headers["Authorization"])
except Except... | code_fim | hard | {
"lang": "python",
"repo": "qsweber/geo-journal",
"path": "/src/geo_journal/app/http.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return what_gets_called
return wrapper
def authenticate(
func: typing.Callable[..., Response]
) -> typing.Callable[..., Response]:
@wraps(func)
def what_gets_called(*args: typing.Any, **kwargs: typing.Any) -> Response:
try:
jwt = decode(request.headers["Autho... | code_fim | hard | {
"lang": "python",
"repo": "qsweber/geo-journal",
"path": "/src/geo_journal/app/http.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>print interval(10)
print interval(1,5)
print interval(3,12,4)
print power(*interval(3,7))#首先去调interval函数，return【3,4,5,6】，然后前两位幂运算，后面的当字符处理
#函数内部访问全局变量;
parameter='berry'
def combine(parameter):
print parameter + globals()['parameter']
combine('kiki')
#函数内部定义全局变量,如果不添加global函数内部的变量都是局部变量
x=1
def cha... | code_fim | hard | {
"lang": "python",
"repo": "jimmybasketball/Python",
"path": "/untitled/day8_def.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jimmybasketball/Python path: /untitled/day8_def.py
#!D:\Python\python27
# -*- coding:utf-8 -*-
def story(**kwds):
return 'once upon a time, there was a '\
'%(job)s called %(name)s.'%kwds
def power(x,y,*others):
if others:
print 'received redundant paramenters:',other... | code_fim | hard | {
"lang": "python",
"repo": "jimmybasketball/Python",
"path": "/untitled/day8_def.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#函数内部访问全局变量;
parameter='berry'
def combine(parameter):
print parameter + globals()['parameter']
combine('kiki')
#函数内部定义全局变量,如果不添加global函数内部的变量都是局部变量
x=1
def change_global():
global x
x=x+1
change_global()
print x
#二元查找
def search(sequence,number,lower,upper):
if lower==upper:
a... | code_fim | hard | {
"lang": "python",
"repo": "jimmybasketball/Python",
"path": "/untitled/day8_def.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>import optionparse
opt, args = optionparse.parse(__doc__)
if not opt and not args:
optionparse.exit()
if opt.positional:
print args
if opt.option1:
print opt.option1
if opt.option2:
print opt.option2<|fim_prefix|># repo: micheles/papers path: /pypers/optparse/example.py
"""An example scri... | code_fim | medium | {
"lang": "python",
"repo": "micheles/papers",
"path": "/pypers/optparse/example.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: micheles/papers path: /pypers/optparse/example.py
"""An example script invoking optionparse.
<|fim_suffix|>import optionparse
opt, args = optionparse.parse(__doc__)
if not opt and not args:
optionparse.exit()
if opt.positional:
print args
if opt.option1:
print opt.option1
if opt.opti... | code_fim | medium | {
"lang": "python",
"repo": "micheles/papers",
"path": "/pypers/optparse/example.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: andrew-shoe/Breakthrough path: /Detectors.py
from __future__ import division
import numpy as np
from scipy.stats import gmean, kurtosis
from scipy.signal import fftconvolve, tukey
import random
import math
import time
import scipy
"""Utility functions"""
def st():
global START_TIME
STAR... | code_fim | hard | {
"lang": "python",
"repo": "andrew-shoe/Breakthrough",
"path": "/Detectors.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> Output
------
A num_signals by sig_len array of noisy signals
"""
SNR = 10 ** (SNR_dB / 10)
if sig_type == "sin":
return gen_complex_sinusoid(num_signals, sig_len, SNR, noise_type)
elif sig_type == "chirp_narrow":
return gen_chirps(num_signals, sig_len, SNR, .1... | code_fim | hard | {
"lang": "python",
"repo": "andrew-shoe/Breakthrough",
"path": "/Detectors.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> stats = Stats({
"modules": ["average_entry_count"]
})
log_txt = '127.0.0.1 - james [09/May/2018:16:00:39 +0000] "GET /report HTTP/1.0" 200 123'
entry = LogEntry(log_txt)
stats.register_entry(entry)
stats._on_timer()
stats._on_timer()
call = mock_average_entry_count.... | code_fim | hard | {
"lang": "python",
"repo": "eckter/http_log_monitor",
"path": "/tests/tasks/test_stats.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eckter/http_log_monitor path: /tests/tasks/test_stats.py
from log_monitor.tasks import Stats
from log_monitor.models import LogEntry
from mock import patch
@patch("log_monitor.tasks.stat_modules.average_entry_count")
def test_stats__modules_call(mock_average_entry_count):
stats = Stats({
... | code_fim | hard | {
"lang": "python",
"repo": "eckter/http_log_monitor",
"path": "/tests/tasks/test_stats.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> result = analysisresult.result
result_transform = {}
for key in result:
ver, pub, part_x = key
pv, uv = result[key][0], len(result[key][1])
if (ver, pub) not in result_transform:
uv_all = len(reduce(lambda a, b: a|b, [result.get((... | code_fim | hard | {
"lang": "python",
"repo": "chennqqi/OpenSaaSProj",
"path": "/Tongji/CustomizeBiqu/Analysis/AnalysisFlightlineSearchBefore.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> result.setdefault((ver, "all", part_x), [0, set(), 0])[0] += 1
result.setdefault((ver, "all", part_x), [0, set(), 0])[1].add(uid)
result.setdefault(("all", "all", part_x), [0, set(), 0])[0] += 1
result.setdefault(("all", "all", part_x), [0, set(), 0])[1].ad... | code_fim | hard | {
"lang": "python",
"repo": "chennqqi/OpenSaaSProj",
"path": "/Tongji/CustomizeBiqu/Analysis/AnalysisFlightlineSearchBefore.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chennqqi/OpenSaaSProj path: /Tongji/CustomizeBiqu/Analysis/AnalysisFlightlineSearchBefore.py
# -*- coding: utf-8 -*-
# from Tongji.AnalysisMap.MapDataFactory import MapDataFactory
import __init__
from Tongji.AnalysisMap.AnalysisMap import AnalysisMap
import datetime
import sys
class AnalysisFlig... | code_fim | hard | {
"lang": "python",
"repo": "chennqqi/OpenSaaSProj",
"path": "/Tongji/CustomizeBiqu/Analysis/AnalysisFlightlineSearchBefore.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: arash-mehrabi-z/data-mining path: /vectorizing/src/invertedIndex/postingList.py
import bisect
class PostingList():
docIds = [] #list of integers
def __init__(self, lst):
self.docIds = lst
def add(self, id):
# bisect.insort(self.docIds, id)
self.docIds.append... | code_fim | hard | {
"lang": "python",
"repo": "arash-mehrabi-z/data-mining",
"path": "/vectorizing/src/invertedIndex/postingList.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def NOT(self, other):
initialDocIds = self.docIds
for otherDocId in other.getDocIds():
if otherDocId in initialDocIds:
initialDocIds.remove(otherDocId)
return PostingList(initialDocIds)<|fim_prefix|># repo: arash-mehrabi-z/data-mining path... | code_fim | hard | {
"lang": "python",
"repo": "arash-mehrabi-z/data-mining",
"path": "/vectorizing/src/invertedIndex/postingList.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return result
def NOT(self, other):
initialDocIds = self.docIds
for otherDocId in other.getDocIds():
if otherDocId in initialDocIds:
initialDocIds.remove(otherDocId)
return PostingList(initialDocIds)<|fim_prefix|># repo: arash-mehr... | code_fim | hard | {
"lang": "python",
"repo": "arash-mehrabi-z/data-mining",
"path": "/vectorizing/src/invertedIndex/postingList.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: EruDev/spiders path: /AnJuKe2/AnJuKe2/spiders/anjuke.py
# -*- coding: utf-8 -*-
import scrapy
from scrapy.http import Request
import time
import json
from AnJuKe2.items import AnjukeZuFangItem, AnjukeErShouFangItem
import re
from random import random
class AnjukeSpider(scrapy.Spider):
name ... | code_fim | hard | {
"lang": "python",
"repo": "EruDev/spiders",
"path": "/AnJuKe2/AnJuKe2/spiders/anjuke.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> item = AnjukeErShouFangItem()
response = response.text
infos = re.findall(r'"results":(.*?),"request_time"', response)[0]
infos = json.loads(infos)
for info in infos:
item['esf_proid'] = info['PROID']
item['esf_cityid'] = info['CITYID']
... | code_fim | hard | {
"lang": "python",
"repo": "EruDev/spiders",
"path": "/AnJuKe2/AnJuKe2/spiders/anjuke.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> item = AnjukeZuFangItem()
response = response.text
infos = re.findall(r'"tw_home_recommend_prop":(.*?),"request_time"', response)[0]
infos = json.loads(infos)
# print(infos)
for info in infos:
item['zf_id'] = info['id']
item['zf_title... | code_fim | hard | {
"lang": "python",
"repo": "EruDev/spiders",
"path": "/AnJuKe2/AnJuKe2/spiders/anjuke.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MathieuLeocmach/trackpy path: /trackpy/tests/test_static.py
o_edge = pair_correlation_2d(lattice, dr=.1, cutoff=8,
handle_edge=False)
g_r_no_edge /= np.linalg.norm(g_r_no_edge)
# Assert the functions are essentially the same
... | code_fim | hard | {
"lang": "python",
"repo": "MathieuLeocmach/trackpy",
"path": "/trackpy/tests/test_static.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> R = self.R
box = self.box
# center
point = np.array([[1, 1, 1]]) * R
dist = np.repeat([1], point.shape[0], axis=0) * R
result = area_3d_bounded(dist, point, box)
assert_almost_equal(result, 4*np.pi*R**2)
# planes
point = np.array([[0,... | code_fim | hard | {
"lang": "python",
"repo": "MathieuLeocmach/trackpy",
"path": "/trackpy/tests/test_static.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MathieuLeocmach/trackpy path: /trackpy/tests/test_static.py
_edges, dr, n):
"""Returns x, y, z array of points comprising shells extending from r to
r_dr. n determines the number of points in the ring. Rings are generated by
constructing a unit sphere and projecting every point onto a... | code_fim | hard | {
"lang": "python",
"repo": "MathieuLeocmach/trackpy",
"path": "/trackpy/tests/test_static.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GoDoVoReZ/Weather_app path: /weather_desktop.py
# ДЕСКТОПНАЯ ВЕРСИЯ
# Импорт библиотек и модуля api_script
import PySimpleGUI as sg
import numpy as np
from api_script import get_weather
# Тема главного окна
sg.theme('DarkAmber')
# Главная функция отображения, вызывает функцию get_weather из м... | code_fim | hard | {
"lang": "python",
"repo": "GoDoVoReZ/Weather_app",
"path": "/weather_desktop.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Основной цикл, в зависимости от нажатой кнопки вызывает функцию update() или закрывает окно
while True:
event, values = window.read()
if event in (sg.WIN_CLOSED, 'Exit'):
break
if event == '-FUNCTION-':
try:
update(values[0])
except Exception as e:
... | code_fim | medium | {
"lang": "python",
"repo": "GoDoVoReZ/Weather_app",
"path": "/weather_desktop.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> path("student-membership/<int:id>/", get_student_mempership, name="studentmembership"),
path('get-user-student/<int:user_id>', get_student_by_user_id, name='get_user_student'),
path('get-teacher-user/<int:id>',get_teacher_by_user_id,name='get_teacher_by_user_id'),
path('get-admin-user/<int... | code_fim | hard | {
"lang": "python",
"repo": "AmroYasser/Courses-booking-backend",
"path": "/backend/moasasa/urls.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AmroYasser/Courses-booking-backend path: /backend/moasasa/urls.py
from django.urls import path
from django.conf import settings
from django.conf.urls.static import static
from .api import *
from rest_framework.routers import DefaultRouter
<|fim_suffix|> path("student-membership/<int:id>/", ge... | code_fim | hard | {
"lang": "python",
"repo": "AmroYasser/Courses-booking-backend",
"path": "/backend/moasasa/urls.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> r = start
while r < stop:
yield r
r += step<|fim_prefix|># repo: sfmc/mpi path: /helpers/utilities.py
#!/usr/bin/python
import math
def clamp(v, min_value, max_value):
return max(min_value, min(max_value, v))
<|fim_middle|>
def drange(start, stop, step):
| code_fim | easy | {
"lang": "python",
"repo": "sfmc/mpi",
"path": "/helpers/utilities.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
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