text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: dr-dos-ok/Code_Jam_Webscraper path: /solutions_python/Problem_62/241.py
def filtra_acima(wires, origem):
return [wire for wire in wires if wire[0] > origem ]
def filtra_abaixo(wires, destino):
return [wire for wire in wires if wire[1] < destino ]
def calculate(wires):
count = 0
... | code_fim | hard | {
"lang": "python",
"repo": "dr-dos-ok/Code_Jam_Webscraper",
"path": "/solutions_python/Problem_62/241.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> wires = []
for i in xrange(n):
o, d = map(int, raw_input().split())
wires.append( (o,d) )
return wires
for case_number in xrange(int(raw_input())):
n, = map(int, raw_input().split())
wires = read_input(n)
result = calculate(wires)
print 'Case #%d: %s' % (... | code_fim | hard | {
"lang": "python",
"repo": "dr-dos-ok/Code_Jam_Webscraper",
"path": "/solutions_python/Problem_62/241.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Gaodo/NativeLeakProf path: /nlp_stack_parser.py
#!/usr/bin/python
# coding=UTF-8
import sys
import subprocess
import os
def printReportTail(reportHtmlFile):
reportHtmlFile.write("""
</body>
</html>
""")
def printReportHead(reportHtmlFile):
reportHtmlFile.write("""<!DOCTYPE html>
<html ... | code_fim | hard | {
"lang": "python",
"repo": "Gaodo/NativeLeakProf",
"path": "/nlp_stack_parser.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> leakMsg = "leak size: " + leakSize + "\n"
printText(reportHtmlFile, leakMsg)
print leakMsg
elif line.startswith("stack:"):
stack = line.replace("stack:", "").replace('\n', '').replace('\r', '')
# print "stack: "
for stackEle... | code_fim | hard | {
"lang": "python",
"repo": "Gaodo/NativeLeakProf",
"path": "/nlp_stack_parser.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def delcacheCountSizeList(self):
self.cacheCountSizeList = {}
print "EMC delete cacheCountSizeList", self.cacheCountSizeList
def delcacheCountSizeListEntriesOnFileOp(self,path):
#print "EMC delcacheCountSizeListEntriesOnFileOp",path
rescanPaths = []
if path:
for k in self.cacheCountSizeLis... | code_fim | hard | {
"lang": "python",
"repo": "betonme/e2openplugin-EnhancedMovieCenter",
"path": "/src/EMCFileCache.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: betonme/e2openplugin-EnhancedMovieCenter path: /src/EMCFileCache.py
#!/usr/bin/python
# encoding: utf-8
#
# In case of reuse of this source code please do not remove this copyright.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General P... | code_fim | hard | {
"lang": "python",
"repo": "betonme/e2openplugin-EnhancedMovieCenter",
"path": "/src/EMCFileCache.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if config.EMC.files_cache.value and self.cacheDirectoryList.has_key(path) and self.cacheFileList.has_key(path):
return True
else:
return False
def IsPathWithDirsInCache(self, path):
if config.EMC.files_cache.value and self.cacheDirectoryList.has_key(path):
return True
else:
return Fa... | code_fim | hard | {
"lang": "python",
"repo": "betonme/e2openplugin-EnhancedMovieCenter",
"path": "/src/EMCFileCache.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ahenze/python-fuer-einsteiger path: /groessere_programme/beispiele/try_except_example.py
# print all cards with even numbers.
<|fim_suffix|>for card in cards:
try:
number = int(card)
if number % 2 == 0: # modulo operator
print(card, "is an even card.")
except... | code_fim | medium | {
"lang": "python",
"repo": "ahenze/python-fuer-einsteiger",
"path": "/groessere_programme/beispiele/try_except_example.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>for card in cards:
try:
number = int(card)
if number % 2 == 0: # modulo operator
print(card, "is an even card.")
except ValueError:
print (card, "can not be divided")<|fim_prefix|># repo: ahenze/python-fuer-einsteiger path: /groessere_programme/beispiele/try_ex... | code_fim | medium | {
"lang": "python",
"repo": "ahenze/python-fuer-einsteiger",
"path": "/groessere_programme/beispiele/try_except_example.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_obj_spec(client_factory, obj, select_set=None):
"""Builds the Object Spec object."""
obj_spec = client_factory.create('ns0:ObjectSpec')
obj_spec.obj = obj
obj_spec.skip = False
if select_set is not None:
obj_spec.selectSet = select_set
return obj_spec
def get_prop... | code_fim | hard | {
"lang": "python",
"repo": "Mirantis/vmware-dvs",
"path": "/networking_vsphere/utils/vim_util.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: WONDER-project/GSAS-II-WONDER-WIN path: /GSAS-II-WONDER/GSASIIfpaGUI.py
g_slit_width'):
NISTparms["receiver_slit"] = {'slit_width':1e-3*InpParms['receiving_slit_width']}
elif "receiver_slit" in NISTparms:
del NISTparms["receiver_slit"]
if InpParms.get('tube-tails_width', ... | code_fim | hard | {
"lang": "python",
"repo": "WONDER-project/GSAS-II-WONDER-WIN",
"path": "/GSAS-II-WONDER/GSASIIfpaGUI.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: WONDER-project/GSAS-II-WONDER-WIN path: /GSAS-II-WONDER/GSASIIfpaGUI.py
ines=True)
if FPdlg.GetSizer(): FPdlg.GetSizer().Clear(True)
numWave = parmDict['numWave']
if mode == 'BBpoint':
itemList = BraggBrentanoParms+BBPointDetector
elif mode == 'BBPSD':
itemList = ... | code_fim | hard | {
"lang": "python",
"repo": "WONDER-project/GSAS-II-WONDER-WIN",
"path": "/GSAS-II-WONDER/GSASIIfpaGUI.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>"Primes:", end = " ")
for num in sorted(s):
print(num, end = " ")<|fim_prefix|># repo: jasminecronin/code-step-by-step path: /Python/Sieve.py
N = int(input("Max value N? "))
s = set()
for i in range(2, N + 1):
s.add(i)
for num in sorted(s):
k = num + num
while k <= N<|fim_middle|>:
... | code_fim | medium | {
"lang": "python",
"repo": "jasminecronin/code-step-by-step",
"path": "/Python/Sieve.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jasminecronin/code-step-by-step path: /Python/Sieve.py
N = int(input("Max value N? "))
s = set()
for i in range(2, N + 1):
<|fim_suffix|>:
if k in s:
s.remove(k)
k += num
print("Primes:", end = " ")
for num in sorted(s):
print(num, end = " ")<|fim_middle|> s.add... | code_fim | medium | {
"lang": "python",
"repo": "jasminecronin/code-step-by-step",
"path": "/Python/Sieve.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>http1.upload('http://'+ip+'/music_download/api/song/upload','speed=0&styleId=c0a4bd86-a09b-43ac-8169-14bb69630ac0&file=G:\\music_data\\1.mp3')
# http1.upload('http://10.68.170.184:8080/music/api/song/upload','filename=1.mp3&speed=0&styleId=c0a4bd86-a09b-43ac-8169-14bb69630ac0&file1=G:/music_data/1.mp3')<... | code_fim | hard | {
"lang": "python",
"repo": "kirina001/musicPytest",
"path": "/test/testMusic.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kirina001/musicPytest path: /test/testMusic.py
# -*- coding: UTF-8 -*-
from keywords.httpkeys1 import HTTP
http1 = HTTP()
# ip = '10.68.170.184:8080'
ip = '10.68.170.184:8080'
http1.post('http://'+ip+'/music_download/api/login','username=admin&password=123456')
# http1.savejson('result','id')
... | code_fim | hard | {
"lang": "python",
"repo": "kirina001/musicPytest",
"path": "/test/testMusic.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def draw_room_obj(room, obj_category):
obj_num, obj_center, obj_size, obj_point= DNA_Object.get_obj_info_from_room(room, obj_category)
if obj_num > 0:
plt.plot(obj_point['x'], obj_point['y'], linewidth='0.5')
#print(bed_center)
plt.plot(obj_center[0], obj_center[1], 'o') ... | code_fim | hard | {
"lang": "python",
"repo": "yinzanxia/dna_info_process",
"path": "/DrawShape.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if 'roomList' in dna:
cur_dict = dna
elif 'request' in dna and 'feedback' not in dna:
cur_dict = json.loads(dna['request'])
elif 'feedback' in dna:
cur_dict = json.loads(dna['feedback'])
if 'doors' in cur_dict:
door_num, doo... | code_fim | hard | {
"lang": "python",
"repo": "yinzanxia/dna_info_process",
"path": "/DrawShape.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yinzanxia/dna_info_process path: /DrawShape.py
# -*- coding: utf-8 -*-
"""
Created on Fri Jul 13 14:52:03 2018
@author: mayn
"""
import matplotlib.pyplot as plt
import DNA_Object
import json
def draw_area(dna, room):
area_center, area = DNA_Object.get_room_area(room)
plt.plot(area['x'... | code_fim | hard | {
"lang": "python",
"repo": "yinzanxia/dna_info_process",
"path": "/DrawShape.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AlterModelOptions(
name='type',
options={'verbose_name': '\u0442\u0438\u043f \u0437\u0430\u0434\u0430\u043d\u0438\u044f', 'verbose_name_plural': '\u0422\u0438\u043f\u044b \u0437\u0430\u0434\u0430\u043d\u0438\u044f'},
),
migratio... | code_fim | medium | {
"lang": "python",
"repo": "whitemaster/adhack_2017",
"path": "/exchange/migrations/0005_auto_20170826_2131.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: whitemaster/adhack_2017 path: /exchange/migrations/0005_auto_20170826_2131.py
# -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-08-26 21:31
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
<|fim_suffix|> opera... | code_fim | medium | {
"lang": "python",
"repo": "whitemaster/adhack_2017",
"path": "/exchange/migrations/0005_auto_20170826_2131.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lnnx2006/DJI_robomaster path: /open_fire/scripts/callback.py
#!/usr/bin/python
"""
Created on Aug 1 2014
<|fim_suffix|>if __name__ == '__main__':
rospy.init_node('timer')
rospy.Timer(rospy.Duration(2), my_callback)
rospy.spin()<|fim_middle|>"""
import rospy
def my_callback(event):... | code_fim | medium | {
"lang": "python",
"repo": "lnnx2006/DJI_robomaster",
"path": "/open_fire/scripts/callback.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> print 'Timer called at ' + str(event.current_real)
if __name__ == '__main__':
rospy.init_node('timer')
rospy.Timer(rospy.Duration(2), my_callback)
rospy.spin()<|fim_prefix|># repo: lnnx2006/DJI_robomaster path: /open_fire/scripts/callback.py
#!/usr/bin/python
"""
Created on Aug 1 2014
... | code_fim | easy | {
"lang": "python",
"repo": "lnnx2006/DJI_robomaster",
"path": "/open_fire/scripts/callback.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fwxiong/net-sniffer path: /runMe.py
#!/usr/bin/python3
import os
import netifaces
<|fim_suffix|>for i in NICList:
os.system("sudo ifconfig " + i + " promisc")
os.system("sudo python ./src/top.py")<|fim_middle|># nicList = netifaces.interfaces()
NICList = [i for i in netifaces.interfaces() if... | code_fim | medium | {
"lang": "python",
"repo": "fwxiong/net-sniffer",
"path": "/runMe.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>for i in NICList:
os.system("sudo ifconfig " + i + " promisc")
os.system("sudo python ./src/top.py")<|fim_prefix|># repo: fwxiong/net-sniffer path: /runMe.py
#!/usr/bin/python3
import os
import netifaces
<|fim_middle|># nicList = netifaces.interfaces()
NICList = [i for i in netifaces.interfaces() if... | code_fim | medium | {
"lang": "python",
"repo": "fwxiong/net-sniffer",
"path": "/runMe.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: leandog/whiteboard-plotter path: /gcodepainter/gcodepainter/services/gcode_sender.py
from pydispatch import dispatcher
import time
import serial
import threading
from queue import Queue
PORT='/dev/ttys005'
#PORT='/dev/tty.usbmodem1461'
SPEED=4800.0
class GcodeSender(object):
PEN_LIFT_PULSE... | code_fim | hard | {
"lang": "python",
"repo": "leandog/whiteboard-plotter",
"path": "/gcodepainter/gcodepainter/services/gcode_sender.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def on_pen_lift(self):
#print("pen lift")
self.command_queue.put_nowait("M400")
self.command_queue.put_nowait("M340 P0 S{}".format(self.PEN_LIFT_PULSE))
self.command_queue.put_nowait("G4 P500")
def start(self):
self._stop.clear()
self.parsing_thread... | code_fim | hard | {
"lang": "python",
"repo": "leandog/whiteboard-plotter",
"path": "/gcodepainter/gcodepainter/services/gcode_sender.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>ax.plot(data["Date"],data["Hushen300 Index"]/3.20393,label="Hushen300 Index")
plt.xlabel("Time/year")
plt.ylabel("Index Point")
plt.title("Comparison of HCHFI,HS300 and SSE Composite Index")
plt.legend(loc='upper right')
plt.ylim(0,7000)
plt.show()<|fim_prefix|># repo: tangshuran/trivial_works path: /zhu... | code_fim | medium | {
"lang": "python",
"repo": "tangshuran/trivial_works",
"path": "/zhuzhu/zz_plot.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>t")
plt.title("Comparison of HCHFI,HS300 and SSE Composite Index")
plt.legend(loc='upper right')
plt.ylim(0,7000)
plt.show()<|fim_prefix|># repo: tangshuran/trivial_works path: /zhuzhu/zz_plot.py
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
data=pd.read_excel("data_SHA.xls")
fig... | code_fim | medium | {
"lang": "python",
"repo": "tangshuran/trivial_works",
"path": "/zhuzhu/zz_plot.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tangshuran/trivial_works path: /zhuzhu/zz_plot.py
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
data=pd.read_excel("data_SHA.xls")
fig,ax=plt.subplot<|fim_suffix|>ax.plot(data["Date"],data["Hushen300 Index"]/3.20393,label="Hushen300 Index")
plt.xlabel("Time/year")
plt.yla... | code_fim | medium | {
"lang": "python",
"repo": "tangshuran/trivial_works",
"path": "/zhuzhu/zz_plot.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># ----- Running scripts for PSFEx ----- #
if (glob.glob("PSFEx/") == []):
os.system("mkdir PSFEx")
else:
os.system("rm -rfv PSFEx/*")
os.system("sh psfex_all.sh")
os.system("mv -v psf_*.cat psf_*.xml psf_*.psf PSFEx/")
os.system("mv -v prepsfex_*-*.cat PSFEx/")
os.system("rm -rfv ./*.fits prepsfex_*.c... | code_fim | hard | {
"lang": "python",
"repo": "joungh93/HSC_sephot",
"path": "/mkscr_psfex.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: joungh93/HSC_sephot path: /mkscr_psfex.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu May 21 11:40:26 2020
@author: jlee
"""
import time
start_time = time.time()
import numpy as np
import glob, os
from astropy.io import fits
import init_cfg as ic
# ----- Making script... | code_fim | hard | {
"lang": "python",
"repo": "joungh93/HSC_sephot",
"path": "/mkscr_psfex.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# ----- Running scripts for PSFEx ----- #
if (glob.glob("PSFEx/") == []):
os.system("mkdir PSFEx")
else:
os.system("rm -rfv PSFEx/*")
os.system("sh psfex_all.sh")
os.system("mv -v psf_*.cat psf_*.xml psf_*.psf PSFEx/")
os.system("mv -v prepsfex_*-*.cat PSFEx/")
os.system("rm -rfv ./*.fits prepsfex_*.... | code_fim | hard | {
"lang": "python",
"repo": "joungh93/HSC_sephot",
"path": "/mkscr_psfex.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, canClimbMountains, speed, year):
Vehicle.__init__(self, speed, year)
self.canClimbMountains = canClimbMountains
def drive(self):
print("Car is in drive mode")
# Here, Vehicle is a parent inherited from ABC class. It has an abstraction method drive.
# C... | code_fim | hard | {
"lang": "python",
"repo": "pavanpandya/Python",
"path": "/Advance Python - Object Oriented Programming/05_Encapsulation.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class House2:
def setWall(self, dynamicWall):
self.wall = dynamicWall
def getWall(self):
print(self.wall)
# Abstraction:
# Abstraction in OOP is a process of hiding the real implementation of the method by only showing a method signature.
# In Python, we can achieve abstractio... | code_fim | hard | {
"lang": "python",
"repo": "pavanpandya/Python",
"path": "/Advance Python - Object Oriented Programming/05_Encapsulation.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pavanpandya/Python path: /Advance Python - Object Oriented Programming/05_Encapsulation.py
# 4 Pillars of OOP:
# 1. Encapsulation: Encapsulation in Python is the process of wrapping up variables and methods into a single entity.In programming, a class is an example that wraps all the variables an... | code_fim | hard | {
"lang": "python",
"repo": "pavanpandya/Python",
"path": "/Advance Python - Object Oriented Programming/05_Encapsulation.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bm5w/sea-f2-python-sept14 path: /Students/JakeAnderson/session02/ack.py
# coding: utf-8
#ack program with the ackermann_function
""" ackermann_function """
def ack(m,n):
<|fim_suffix|>if __name__ == "__main__":
expected = [[1,2,3,4,5],
[2,3,4,5,6],
[3,5,7,9,11],
[5,13,29,61,125]]
o... | code_fim | hard | {
"lang": "python",
"repo": "bm5w/sea-f2-python-sept14",
"path": "/Students/JakeAnderson/session02/ack.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
expected = [[1,2,3,4,5],
[2,3,4,5,6],
[3,5,7,9,11],
[5,13,29,61,125]]
ok = True
for m in range(4):
for n in range(5):
actual = ack(m,n)
if not actual == expected[m][n]:
print "error"
ok = False
if ok:
print "All tests pass"<|fim_prefix|># repo: ... | code_fim | hard | {
"lang": "python",
"repo": "bm5w/sea-f2-python-sept14",
"path": "/Students/JakeAnderson/session02/ack.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wsarvesh/ProjectsGit path: /Projects/hospital_management/DHOPD/migrations/0016_patient_c_receipt_c.py
# Generated by Django 2.2.6 on 2020-05-21 09:44
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('DHOPD', '0015_au... | code_fim | hard | {
"lang": "python",
"repo": "wsarvesh/ProjectsGit",
"path": "/Projects/hospital_management/DHOPD/migrations/0016_patient_c_receipt_c.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>ervices', models.CharField(max_length=500)),
('patient_status', models.CharField(max_length=2)),
('patient_cost', models.CharField(max_length=100)),
('patient_date', models.DateField(default=datetime.date.today)),
('patient_time', models.Time... | code_fim | hard | {
"lang": "python",
"repo": "wsarvesh/ProjectsGit",
"path": "/Projects/hospital_management/DHOPD/migrations/0016_patient_c_receipt_c.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def calcLogLikelihood(X,clusters,k):
loglikelihood = 0
#Your code here
return loglikelihood
#E-step
def updateEStep(X,clusters,k):
EMatrix = []
#Your code here
return EMatrix
#M-step
def updateMStep(X,clusters,EMatrix):
#Your code here
return clusters
def visualizeCluste... | code_fim | hard | {
"lang": "python",
"repo": "CabbageUVa/Machine-Learning-course-project",
"path": "/Neural Network & Image classification & Audio Clustering/clustering.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> purities = []
#Your code
for i in range(2):
count = 0
for idx in range(len(clusters[i])):
if(int(clusters[i][idx][2]) == 1):
count += 1
purity = count*1.0 / len(clusters[i])
if purity > 0.5:
purities.append(purity)
... | code_fim | hard | {
"lang": "python",
"repo": "CabbageUVa/Machine-Learning-course-project",
"path": "/Neural Network & Image classification & Audio Clustering/clustering.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CabbageUVa/Machine-Learning-course-project path: /Neural Network & Image classification & Audio Clustering/clustering.py
#!/usr/bin/python
import sys
import numpy as np
import random
import matplotlib.pyplot as plt
#Your code here
def loadData(fileDj):
data = []
fid = open(fileDj)
f... | code_fim | hard | {
"lang": "python",
"repo": "CabbageUVa/Machine-Learning-course-project",
"path": "/Neural Network & Image classification & Audio Clustering/clustering.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SizeLee/Graduation path: /UIPack/MainFrame.py
dWidget(label)
labelbox.addWidget(self.presentModelNameT)
trainingModuleT.addStretch(1)
trainingModuleT.addLayout(labelbox)
trainingModuleT.addStretch(1)
trainingModuleT.addWidget(self.setModelParametersButtonT... | code_fim | hard | {
"lang": "python",
"repo": "SizeLee/Graduation",
"path": "/UIPack/MainFrame.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.sender() is self.saveModelButton:
if self.mcbcnn is None:
reply = QMessageBox.information(self, '模型错误', '模型不存在',
QMessageBox.Yes, QMessageBox.Yes)
return
else:
fname, ok ... | code_fim | hard | {
"lang": "python",
"repo": "SizeLee/Graduation",
"path": "/UIPack/MainFrame.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def setLossParameter(self):
if self.sender() is self.dataLossSimulateSettingButton:
self.setLPDialog = setLossParameterDialog.setLossParameterDialog('combine-CNN设置缺失参数', self, 'New')
elif self.sender() is self.dataLossSimulateSettingButtonT:
self.setLPDialog = ... | code_fim | hard | {
"lang": "python",
"repo": "SizeLee/Graduation",
"path": "/UIPack/MainFrame.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Plot 2 lines
subplot.plot(range(len(values)), values)
subplot.plot(range(len(new_values)), new_values, linewidth=2)
# Print left plot title
pyplot.title(
"Press X to exit\nPress S to save",
loc="left",
fontsize=14,
... | code_fim | hard | {
"lang": "python",
"repo": "thanhph111/prosthetic-foot-design",
"path": "/src/sub/plot.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dinesh-joshi/RNAseqWebServer path: /dataUpload/migrations/0001_initial.py
# Generated by Django 3.2.4 on 2021-09-13 17:41
import dataUpload.models
from django.db import migrations, models
import uuid
class Migration(migrations.Migration):
initial = True
<|fim_suffix|> operations = [
... | code_fim | medium | {
"lang": "python",
"repo": "dinesh-joshi/RNAseqWebServer",
"path": "/dataUpload/migrations/0001_initial.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
]
operations = [
migrations.CreateModel(
name='Task',
fields=[
('file_id', models.AutoField(primary_key=True, serialize=False)),
('task_id', models.UUIDField(default=uuid.uuid4, editable=False)),
... | code_fim | medium | {
"lang": "python",
"repo": "dinesh-joshi/RNAseqWebServer",
"path": "/dataUpload/migrations/0001_initial.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def build(self):
return LayoutWindow()
if __name__== "__main__":
display = floatlayoutApp()
display.run()<|fim_prefix|># repo: SUTD-IEEE/workshop-resources path: /SUTD_IEEE_Kivy_Workshop/Kivy_workshop_1/floatlayout.py
from kivy.app import App
from kivy.uix.floatlayout import FloatLa... | code_fim | easy | {
"lang": "python",
"repo": "SUTD-IEEE/workshop-resources",
"path": "/SUTD_IEEE_Kivy_Workshop/Kivy_workshop_1/floatlayout.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SUTD-IEEE/workshop-resources path: /SUTD_IEEE_Kivy_Workshop/Kivy_workshop_1/floatlayout.py
from kivy.app import App
from kivy.uix.floatlayout import FloatLayout
class LayoutWindow(FloatLayout):
pass
<|fim_suffix|> return LayoutWindow()
if __name__== "__main__":
display = float... | code_fim | easy | {
"lang": "python",
"repo": "SUTD-IEEE/workshop-resources",
"path": "/SUTD_IEEE_Kivy_Workshop/Kivy_workshop_1/floatlayout.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> county = []
while iter_.hasNext():
county += [iter_.__next__()]
if is_element(iter_.peek(), 'strong'):
yield ElemIterator(county)
county = []
yield ElemIterator(county)
county = []
def parse_emails_url(iter_):
emails = []
url = None
try:
while True:
iter_.p... | code_fim | hard | {
"lang": "python",
"repo": "kevanloy/elections-officials",
"path": "/states/nevada/main.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def parse_lines(iter_):
iter_.peek_till('strong')
county = []
while iter_.hasNext():
county += [iter_.__next__()]
if is_element(iter_.peek(), 'strong'):
yield ElemIterator(county)
county = []
yield ElemIterator(county)
county = []
def parse_emails_url(iter_):
emails =... | code_fim | hard | {
"lang": "python",
"repo": "kevanloy/elections-officials",
"path": "/states/nevada/main.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>000000',
'00000000000000000000000000000000000000000000000000000000000000000000000000000011111111111000000000000000000000000000000000000000',
'00000000000000000000000000000000000000000000000000000000000000000000000000000011111111111000000000000000000000000000000000000000',
'00000000000000000000000000000000... | code_fim | hard | {
"lang": "python",
"repo": "GamerNoTitle/Beepers-and-OLED",
"path": "/bamap/ba0563.pngMap.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GamerNoTitle/Beepers-and-OLED path: /bamap/ba0563.pngMap.py
ba0563.pngMap = [
'00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000',
'00000000000000000000000000000000000000000000000000000000000000000000000000000000000000... | code_fim | hard | {
"lang": "python",
"repo": "GamerNoTitle/Beepers-and-OLED",
"path": "/bamap/ba0563.pngMap.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> r3 = requests.post(TCApplyNeedleUrl,ANparams)
print(r3.text)
rep = json.loads(r3.text)
if rep["status"] == 0:
data = rep["data"]
TCdata2 = AESCipher.decode_data(data, tokenId.replace('-', ''))
print("TCdata2解密后", TCdata2)
... | code_fim | hard | {
"lang": "python",
"repo": "Ojmin/fengkong",
"path": "/disanfang/third_party/app.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ojmin/fengkong path: /disanfang/third_party/app.py
import json
import requests as requests
from flask import Flask
from flask import request
from tools import AESCipher, tokenId, TokenKey, appId
from tools import TCApplyNeedleUrl, TCCreditNeedleUrl, TCWJNeedleUrl
app = Flask(__name__)... | code_fim | hard | {
"lang": "python",
"repo": "Ojmin/fengkong",
"path": "/disanfang/third_party/app.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if model.device != "cpu" and torch.cuda.device_count() > 1:
model = torch.nn.DataParallel(model)
model = model.to(model.device)
train_loader = model.get_train_loader()
test_loader = model.get_test_loader()
for epoch in range(cfg.num_epoch):
time_print(f"\nEpoch {epoc... | code_fim | hard | {
"lang": "python",
"repo": "davzha/DESP",
"path": "/run.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> train_loader = model.get_train_loader()
test_loader = model.get_test_loader()
for epoch in range(cfg.num_epoch):
time_print(f"\nEpoch {epoch} Training")
train(cfg, epoch, train_loader, model)
filename = "checkpoint.pth.tar"
if not getattr(cfg.log, ... | code_fim | hard | {
"lang": "python",
"repo": "davzha/DESP",
"path": "/run.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: davzha/DESP path: /run.py
import argparse
import datetime
import importlib
import pprint
import time
import random
import numpy as np
import torch
from torch.utils.tensorboard import SummaryWriter
from utils import get_git_state, time_print, AverageMeter, ProgressMeter, save_checkpoint
def tr... | code_fim | hard | {
"lang": "python",
"repo": "davzha/DESP",
"path": "/run.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def component_callbacks(self, app):
"""
Automatically does the callbacks of the interactive parts of the table component.
:param app: Dash app that uses the code.
:return: Output of the callback functions.
"""
@app.callback(
Output('main_tabl... | code_fim | hard | {
"lang": "python",
"repo": "shossains/Interactive-Data-Visualization",
"path": "/src/main/python/oop/Components/Table.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, plot_factory, df, title="Table"):
"""
Displays table at the bottom of the page.
:param plot_factory: Factory with all plot functions
:param df: Dataframe with all data
:param title: Title of the page
"""
super().__init__(title=... | code_fim | medium | {
"lang": "python",
"repo": "shossains/Interactive-Data-Visualization",
"path": "/src/main/python/oop/Components/Table.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shossains/Interactive-Data-Visualization path: /src/main/python/oop/Components/Table.py
import dash_table
import pandas as pd
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Input, Output
from dash_oop_components import DashComponent
import das... | code_fim | hard | {
"lang": "python",
"repo": "shossains/Interactive-Data-Visualization",
"path": "/src/main/python/oop/Components/Table.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, rounds=3, breaths=30, hold=15):
self.rounds = rounds
self.breaths = breaths
self.hold = hold
self.round_times = []
self.lock = threading.Lock() # взаимоблокировка отдельных голосовых потоков
def __str__(self):
return '\n♻{} 🗣{} ... | code_fim | hard | {
"lang": "python",
"repo": "rudotcom/WHM",
"path": "/breathe.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """ согласование существительных с числительными, стоящими перед ними """
phrase = phrase.replace(' ', ' ').replace(',', ' ,')
numeral = ''
new_phrase = []
for word in phrase.split(' '):
if 'NUMB' in morph.parse(word)[0].tag:
numeral = word
if numeral:
... | code_fim | hard | {
"lang": "python",
"repo": "rudotcom/WHM",
"path": "/breathe.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rudotcom/WHM path: /breathe.py
import sys
import time
import pymorphy2
import pyglet
import pyttsx3
import threading
import warnings
import pytils
warnings.filterwarnings("ignore")
""" Количество раундов, вдохов в раунде, задержка дыхания на вдохе"""
rounds, breaths, hold = 4, 30, 13
def play... | code_fim | hard | {
"lang": "python",
"repo": "rudotcom/WHM",
"path": "/breathe.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: my-xh/KnapsackProblem path: /3-多重背包问题/划分.py
"""
问题描述
玛莎（Marsha）和比尔（Bill）拥有一系列大理石。他们希望将藏品分开，以使两者获得相等的份额。如果所有的大理石都具有相同的价值，这将很容易，因为那样他们就可以将收藏品分成两半。
但不幸的是，有些大理石比其他大理石更大或更漂亮。因此，玛莎（Marsha）和比尔（Bill）首先为每个大理石分配一个值，即一个介于1到6之间的自然数。
现在，他们希望对大理石进行分割，以使每个大理石都获得相同的总价值。不幸的是，他们意识到以这种方式分割大理石可能是不可能的（即使所有大理石的总价值是均匀的... | code_fim | medium | {
"lang": "python",
"repo": "my-xh/KnapsackProblem",
"path": "/3-多重背包问题/划分.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
样本输出
集合1：
不能被分割
集合2：
可以被分割
"""
S = []
print('输入:')
while True:
s = input()
if s == '0 0 0 0 0 0':
break
S.append(s)
print('\n输出:')
w = [1, 2, 3, 4, 5, 6]
for k in range(len(S)):
p = [int(i) for i in S[k].split()]
_sum = sum(i * j for i, j in zip(w, p))
if _sum % 2 != 0... | code_fim | hard | {
"lang": "python",
"repo": "my-xh/KnapsackProblem",
"path": "/3-多重背包问题/划分.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return {
"properties": {
"params": {
"description": "",
"type": "object",
"default":
{"vm":
{"instance_id1":
{"status": "activ... | code_fim | hard | {
"lang": "python",
"repo": "nec-openstack/watcher-zone-migration-plugin",
"path": "/zone_migration/strategy.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kkthecompguy/admin-umojabiz path: /jobs/urls.py
from django.urls import path
from .views import job_upload_view, job_view, job_applicants_view, posted_job_view, bussiness_list_view
app_name = 'jobs'
urlpatterns = [
path('', job_view, name='job-index'),
path('applic<|fim_suffix|>ath('business... | code_fim | medium | {
"lang": "python",
"repo": "kkthecompguy/admin-umojabiz",
"path": "/jobs/urls.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>ath('business/', bussiness_list_view, name='business'),
path('upload/', job_upload_view, name='job-upload'),
]<|fim_prefix|># repo: kkthecompguy/admin-umojabiz path: /jobs/urls.py
from django.urls import path
from .views import job_upload_view, job_view, job_applicants_view, posted_job_view, bussiness_... | code_fim | medium | {
"lang": "python",
"repo": "kkthecompguy/admin-umojabiz",
"path": "/jobs/urls.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>ants/', job_applicants_view, name='job-applicants'),
path('posted/', posted_job_view, name='job-posted'),
path('business/', bussiness_list_view, name='business'),
path('upload/', job_upload_view, name='job-upload'),
]<|fim_prefix|># repo: kkthecompguy/admin-umojabiz path: /jobs/urls.py
from django.... | code_fim | medium | {
"lang": "python",
"repo": "kkthecompguy/admin-umojabiz",
"path": "/jobs/urls.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
for i in range(12):
mp = monthlyPaymentRate * rb
rb=rb-mp
rb=rb+rb*monthlyir
print('remaining balance: ',round(rb,2))<|fim_prefix|># repo: ziweiwu/MIT-introduction-in-computer-science path: /week2/problem-1.py
balance=42
annualInterestRate=0.20
<|fim_middle|>monthlyPaymentRate=0.04
mont... | code_fim | medium | {
"lang": "python",
"repo": "ziweiwu/MIT-introduction-in-computer-science",
"path": "/week2/problem-1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>print('remaining balance: ',round(rb,2))<|fim_prefix|># repo: ziweiwu/MIT-introduction-in-computer-science path: /week2/problem-1.py
balance=42
annualInterestRate=0.20
monthlyPaymentRate=0.04
monthlyir = annualInterestRate/12
<|fim_middle|>rb=balance
for i in range(12):
mp = monthlyPaymentRate... | code_fim | medium | {
"lang": "python",
"repo": "ziweiwu/MIT-introduction-in-computer-science",
"path": "/week2/problem-1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ziweiwu/MIT-introduction-in-computer-science path: /week2/problem-1.py
balance=42
annualInterestRate=0.20
<|fim_suffix|>print('remaining balance: ',round(rb,2))<|fim_middle|>monthlyPaymentRate=0.04
monthlyir = annualInterestRate/12
rb=balance
for i in range(12):
mp = monthlyPaymentRate... | code_fim | medium | {
"lang": "python",
"repo": "ziweiwu/MIT-introduction-in-computer-science",
"path": "/week2/problem-1.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: annahung31/LeetCode_practice path: /Merge_Sorted_Array.py
class Solution:
def merge(self, nums1, m, nums2, n):
"""
Do not return anything, modify nums1 in-place instead.
"""
if n == 0:
nums1 = nums1
if nums1[m-1] <= nums2[0]:
... | code_fim | hard | {
"lang": "python",
"repo": "annahung31/LeetCode_practice",
"path": "/Merge_Sorted_Array.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> while i < m and j < n:
if nums1[i] <= nums2[j]:
print("take 1: ", nums1[i])
ans[k] = nums1[i]
i += 1
else:
print("take 2: ", nums2[j])
ans[k] = nums2[j]
... | code_fim | hard | {
"lang": "python",
"repo": "annahung31/LeetCode_practice",
"path": "/Merge_Sorted_Array.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> nums1 = ans
if __name__ == "__main__":
solve = Solution()
nums1 = [1,2,3,0,0,0]
m = 3
nums2 = [2,5,6]
n = 3
solve.merge(nums1, m, nums2, n)
print(nums1)<|fim_prefix|># repo: annahung31/LeetCode_practice path: /Merge_Sorted_Array.py
class Solution:
def merge(self, ... | code_fim | hard | {
"lang": "python",
"repo": "annahung31/LeetCode_practice",
"path": "/Merge_Sorted_Array.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ZhangWen0629/NLP_tensorflow_project path: /Entity_Posing/001-rnn+lstm+crf.py
"""
@file : 001-rnn+lstm+crf.py
@author: xiaolu
@time : 2019-09-06
"""
import re
import numpy as np
import tensorflow as tf
from sklearn.metrics import classification_report
class Model:
def __init__(self, di... | code_fim | hard | {
"lang": "python",
"repo": "ZhangWen0629/NLP_tensorflow_project",
"path": "/Entity_Posing/001-rnn+lstm+crf.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def process_string(string):
'''
:param string:
:return:
'''
string= re.sub('[^A-Za-z0-9\-\/ ]+', ' ', string).split()
return ' '.join([to_title(y.strip()) for y in string])
def to_title(string):
if string.isupper():
string = string.title()
return string
def pars... | code_fim | hard | {
"lang": "python",
"repo": "ZhangWen0629/NLP_tensorflow_project",
"path": "/Entity_Posing/001-rnn+lstm+crf.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: akaija/pseudo-mat path: /HTSOHM/bin/mat17.py
from random import choice, random, randrange
from math import fsum
import os
import numpy as np
def mat17(N, ATOM_TYPES, ndenmax=0.04302, ndenmin=0.0000013905, xmax=51.2, xmin=25.6, ymax=51.2, ymin=25.6,
zmax=51.2, zmin=25.6, epmax=513.264, epmin=1.25... | code_fim | hard | {
"lang": "python",
"repo": "akaija/pseudo-mat",
"path": "/HTSOHM/bin/mat17.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># for i in range(100):
# atoms[i,3] = round(atoms[i,3], 4)
# for i in range(n_):
# n_atoms[i,3] = round(n_atoms[i,3], 4)
# net_charge = sum(n_atoms[:,3])
# if net_charge != 0:
# atomID = choice(range(100))
# weight = list(IDs).cou... | code_fim | hard | {
"lang": "python",
"repo": "akaija/pseudo-mat",
"path": "/HTSOHM/bin/mat17.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
mat_charge = str(sum(n_atoms[:,3]))
cif_file.write('#NET CHARGE: ' + mat_charge + '\n')
mat_X_stats = (mat_name + ' ' + str(nden_) + ' ' + str(xdim_) + ' ' + str(ydim_) +
' ' + str(zdim_) + ' ' + str(n_) + ' ' +
mat_charge + '\n')
mat_stats.write(mat_X_stats)
... | code_fim | hard | {
"lang": "python",
"repo": "akaija/pseudo-mat",
"path": "/HTSOHM/bin/mat17.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: int-brain-lab/ibllib path: /ibllib/tests/extractors/test_extractors.py
:
# TRAINING SESSIONS
data = raw.load_data(self.training_lt5['path'])
gct = np.array([tr['behavior_data']['States timestamps']
['closed_loop'][0][0] for tr in data])
self... | code_fim | hard | {
"lang": "python",
"repo": "int-brain-lab/ibllib",
"path": "/ibllib/tests/extractors/test_extractors.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # TRAINING SESSIONS
data = raw.load_data(self.training_lt5['path'])
gct = np.array([tr['behavior_data']['States timestamps']
['closed_loop'][0][0] for tr in data])
self.assertTrue(isinstance(gct, np.ndarray))
# -- version >= 5.0.0
gct... | code_fim | hard | {
"lang": "python",
"repo": "int-brain-lab/ibllib",
"path": "/ibllib/tests/extractors/test_extractors.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: int-brain-lab/ibllib path: /ibllib/tests/extractors/test_extractors.py
= training_trials.Choice(
session_path=self.training_lt5['path']).extract(save=False)[0]
self.assertTrue(isinstance(choice, np.ndarray))
data = raw.load_data(self.training_lt5['path'])
tria... | code_fim | hard | {
"lang": "python",
"repo": "int-brain-lab/ibllib",
"path": "/ibllib/tests/extractors/test_extractors.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: junaidikhlaq/django-api-details path: /apis/views.py
from rest_framework import filters
from rest_framework.generics import ListAPIView
from rest_framework.permissions import IsAuthenticated
from rest_framework.viewsets import ModelViewSet
from apis.models import Contact, Address, InvoicePositio... | code_fim | hard | {
"lang": "python",
"repo": "junaidikhlaq/django-api-details",
"path": "/apis/views.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> queryset = Country.objects.all()
serializer_class = CountrySerializer
filter_backends = [filters.SearchFilter]
search_fields = ['value']
permission_classes = (IsAuthenticated,)
class InvoiceViewSet(ModelViewSet):
queryset = Invoice.objects.all()
serializer_class = InvoiceSeri... | code_fim | hard | {
"lang": "python",
"repo": "junaidikhlaq/django-api-details",
"path": "/apis/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vpurush/speech-reco-partial-dataset path: /audio_loader/load_single.py
from scipy.io import wavfile
import numpy
from matplotlib import pyplot as plt
import librosa
import noisereduce
def loadWavFile(fileName, filePath, savePlot, maxAudioLength, reduceNoise = True):
# Read file
# rate, d... | code_fim | hard | {
"lang": "python",
"repo": "vpurush/speech-reco-partial-dataset",
"path": "/audio_loader/load_single.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # data is stereo sound. take left speaker only
leftSpeakerSound = data # data[:,0]
# print("leftSpeakerSound.shape", leftSpeakerSound.shape)
audioWithPadding = numpy.concatenate((leftSpeakerSound, padding))
# print("audioWithPadding.shape", audioWithPadding.shape)
if savePlot:
... | code_fim | hard | {
"lang": "python",
"repo": "vpurush/speech-reco-partial-dataset",
"path": "/audio_loader/load_single.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>finally:
print("程序执行完毕，不知道是否发生了异常")<|fim_prefix|># repo: bwz3891923/LearningLog path: /Python 第八周作业/20171029 4.4.3.3.py
try:
alp="ABCDEFGHIJKLMNOPQRSTUVWXYZ"
idx=eval(input("请输入一个整数"))
print(alp[idx])
except NameError:
print("输入错误，请输入一个整数")
<|fim_middle|>except:
print(... | code_fim | medium | {
"lang": "python",
"repo": "bwz3891923/LearningLog",
"path": "/Python 第八周作业/20171029 4.4.3.3.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bwz3891923/LearningLog path: /Python 第八周作业/20171029 4.4.3.3.py
try:
alp="ABCDEFGHIJKLMNOPQRSTUVWXYZ"
idx=eval(input("请输入一个整数"))
print(alp[idx])
<|fim_suffix|>except:
print("其他错误")
else:
print("没有发生错误")
finally:
print("程序执行完毕，不知道是否发生了异常")<|fim_middle|>except ... | code_fim | easy | {
"lang": "python",
"repo": "bwz3891923/LearningLog",
"path": "/Python 第八周作业/20171029 4.4.3.3.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> validated = True
for i, cell in enumerate(tsq_row):
if tsq_types[i] == 'number':
try:
float(cell)
except Exception as e:
print('At least one cell value is invalid.')
validated = False
... | code_fim | hard | {
"lang": "python",
"repo": "umich-dbgroup/duoquest",
"path": "/cli.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> config = configparser.ConfigParser()
config.read('config.ini')
db_path = config['db']['path']
conn = sqlite3.connect(db_path)
db_name = input_db_name(conn)
nlq = input_nlq()
num_cols = input_num_cols()
tsq = TableSketchQuery(num_cols)
tsq.types = input_tsq_types(num... | code_fim | hard | {
"lang": "python",
"repo": "umich-dbgroup/duoquest",
"path": "/cli.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>admin.site.register(Autor, AutorAdmin)
admin.site.register(Category, CategoryAdmin)
admin.site.register(Announcement, AnnouncementAdmin)
admin.site.register(Banner, BannerAdmin)
admin.site.register(Caricatura, CaricaturaAdmin)
admin.site.register(Video, VideoAdmin)
admin.site.register(TypePost, TypePostAd... | code_fim | hard | {
"lang": "python",
"repo": "Jhyrus/score",
"path": "/finish/wall/admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class VideoAdmin(admin.ModelAdmin):
pass
class TypePostAdmin(admin.ModelAdmin):
pass
class PostAdmin(admin.ModelAdmin):
class Media:
js = ('admin/js/tiny_mce/tiny_mce.js',
'admin/js/tiny_mce/basic_config.js',)
class PhraseAdmin(admin.ModelAdmin):
pass
class T... | code_fim | medium | {
"lang": "python",
"repo": "Jhyrus/score",
"path": "/finish/wall/admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Jhyrus/score path: /finish/wall/admin.py
# -*- encoding: utf-8 -*-
from django.contrib import admin
from finish.wall.models import (Autor, Category, Announcement, Banner, Caricatura,
Video, TypePost, Post, Phrase, TypeGalery,
ImageGa... | code_fim | medium | {
"lang": "python",
"repo": "Jhyrus/score",
"path": "/finish/wall/admin.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HoneyTheYellowBear123/Civilization-VI-Modding-Knowledge-Base path: /.data-generation/Events.py
import csv
import os
events = {}
eventTypes = set()
eventIndices = {}
i = 0
with open('Civ VI Modding Companion - Events.csv', newline='') as csvfile:
reader = csv.reader(csvfile, delimiter=',', quo... | code_fim | hard | {
"lang": "python",
"repo": "HoneyTheYellowBear123/Civilization-VI-Modding-Knowledge-Base",
"path": "/.data-generation/Events.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> f.write('> `' + fullName + '(' + argumentsText + ')`\n\n')
f.write('Regular event: you can subscribe to it through `' + fullName + '.Add(<function handler>)`\n')
f.write('\n')
f.write('### Parameters\n')
argumentsList = "\n- ".join(arguments)
if len(argumentsList) > 0:
argumentsList = '- ' + argu... | code_fim | hard | {
"lang": "python",
"repo": "HoneyTheYellowBear123/Civilization-VI-Modding-Knowledge-Base",
"path": "/.data-generation/Events.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 4teamwork/opengever.core path: /opengever/api/listing_custom_fields.py
from opengever.propertysheets.assignment import get_document_assignment_slots
from opengever.propertysheets.assignment import get_dossier_assignment_slots
from opengever.propertysheets.storage import PropertySheetSchemaStorage... | code_fim | hard | {
"lang": "python",
"repo": "4teamwork/opengever.core",
"path": "/opengever/api/listing_custom_fields.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
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