text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>
class LampViewSet(viewsets.ModelViewSet):
serializer_class = LampSerializer
queryset = Lamp.objects.all()
router = routers.DefaultRouter()
router.register(r'lamps', LampViewSet)<|fim_prefix|># repo: stevenpi/Link.Python.Django.LampControl path: /lamp_control/api.py
from rest_framework import ... | code_fim | medium | {
"lang": "python",
"repo": "stevenpi/Link.Python.Django.LampControl",
"path": "/lamp_control/api.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: stevenpi/Link.Python.Django.LampControl path: /lamp_control/api.py
from rest_framework import serializers, viewsets, routers
<|fim_suffix|>
router = routers.DefaultRouter()
router.register(r'lamps', LampViewSet)<|fim_middle|>from lamp_control.models import Lamp
class LampSerializer(serializers... | code_fim | hard | {
"lang": "python",
"repo": "stevenpi/Link.Python.Django.LampControl",
"path": "/lamp_control/api.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
#We can also test our cat example:
prediction = model.predict([prepare('cat.jpg')])
print(prediction) # will be a list in a list.
print(CATEGORIES[int(prediction[0][0])])
'''
alpha. Also referred to as the learning rate or step size. The proportion that weights are updated (e.g. 0.001). Larger value... | code_fim | hard | {
"lang": "python",
"repo": "Ramstein/PadIN",
"path": "/Classifying dogs vs cats with our own data images.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> pickle_upload = open('{}_pickle'.format(accIndex - 1), 'rb')
p_upload = pickle.load(pickle_upload)
print(p_upload)
if history.history.get('val_loss')[-1] < min:
min = history.history.get('val_loss')[-1]
if lossIn... | code_fim | hard | {
"lang": "python",
"repo": "Ramstein/PadIN",
"path": "/Classifying dogs vs cats with our own data images.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ramstein/PadIN path: /Classifying dogs vs cats with our own data images.py
'''
!pip install wget
from zipfile import ZipFile
import wget
print('Beginning file downlaod with wget module')
url = 'https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_3... | code_fim | hard | {
"lang": "python",
"repo": "Ramstein/PadIN",
"path": "/Classifying dogs vs cats with our own data images.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>)
print("%d시간에 %.1f%s 벌었습니다" %(5, 28554.0, "원"))<|fim_prefix|># repo: syr9711/homework path: /2-16.py
wage=5
print("%d시간에 %d%s 벌었습니다." %(1, wage*1, <|fim_middle|>"달러"))
print("%d시간에 %d%s 벌었습니다." %(5, wage*5, "달러"))
print("%d시간에 %.1f%s 벌었습니다" %(1,5710.8,"원") | code_fim | medium | {
"lang": "python",
"repo": "syr9711/homework",
"path": "/2-16.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: syr9711/homework path: /2-16.py
wage=5
print("%d시간에 %d%s 벌었습니다." %(1, wage*1, "달러"))
print("%d시간에 %d%s 벌었습니다." %(5, wage*5, "달<|fim_suffix|>)
print("%d시간에 %.1f%s 벌었습니다" %(5, 28554.0, "원"))<|fim_middle|>러"))
print("%d시간에 %.1f%s 벌었습니다" %(1,5710.8,"원") | code_fim | easy | {
"lang": "python",
"repo": "syr9711/homework",
"path": "/2-16.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: syr9711/homework path: /2-16.py
wage=5
print("%d시간에 %d%s 벌었습니다." %(1, wage*1, <|fim_suffix|>러"))
print("%d시간에 %.1f%s 벌었습니다" %(1,5710.8,"원"))
print("%d시간에 %.1f%s 벌었습니다" %(5, 28554.0, "원"))<|fim_middle|>"달러"))
print("%d시간에 %d%s 벌었습니다." %(5, wage*5, "달 | code_fim | easy | {
"lang": "python",
"repo": "syr9711/homework",
"path": "/2-16.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>a.index(b'<b>')+3:data.index(b'</b>')]
print(key.decode('ascii'))<|fim_prefix|># repo: benkatz-12/CSCI-4830---Computer-Security path: /Project_3/getkey-secure.py
#!/usr/bin/python3
import requests
import urllib3
urllib3.disab<|fim_middle|>le_warnings()
response = requests.get('https://freeaeskey.xyz', v... | code_fim | medium | {
"lang": "python",
"repo": "benkatz-12/CSCI-4830---Computer-Security",
"path": "/Project_3/getkey-secure.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: benkatz-12/CSCI-4830---Computer-Security path: /Project_3/getkey-secure.py
#!/usr/bin/python3
import requests
import urllib3
urllib3.disab<|fim_suffix|>a.index(b'<b>')+3:data.index(b'</b>')]
print(key.decode('ascii'))<|fim_middle|>le_warnings()
response = requests.get('https://freeaeskey.xyz', v... | code_fim | medium | {
"lang": "python",
"repo": "benkatz-12/CSCI-4830---Computer-Security",
"path": "/Project_3/getkey-secure.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Meeting(models.Model):
id_meeting = models.AutoField(primary_key=True)
start_date = models.DateField(max_length=100)
start_time = models.TimeField(max_length=100)
description = models.CharField(max_length=100, null=True, default='')
duration = models.DurationField(default=0)
... | code_fim | hard | {
"lang": "python",
"repo": "wertarts/APV_F",
"path": "/firstapp/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wertarts/APV_F path: /firstapp/models.py
from django.db import models
class Location(models.Model):
id_location = models.AutoField(primary_key=True)
city = models.CharField(max_length=100, null=True)
street_name = models.CharField(max_length=100, null=True)
street_number = model... | code_fim | hard | {
"lang": "python",
"repo": "wertarts/APV_F",
"path": "/firstapp/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>open(to_file,'w').write(indata)#无需close
print("done!")<|fim_prefix|># repo: raulpeter/lpthw path: /ex17.py
from os.path import exists
from_file = input('form_file')
to_file = input('to_file')
print(f"copying from {from_file} to {to_file}")
indata = open(from_file).read()#这种方式读取文件后无需close
print(f"the i... | code_fim | medium | {
"lang": "python",
"repo": "raulpeter/lpthw",
"path": "/ex17.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: raulpeter/lpthw path: /ex17.py
from os.path import exists
from_file = input('form_file')
to_file = input('to_file')
<|fim_suffix|>print(f"does the output file exist? {exists(to_file)}")
print("return to continue, CTRL-C to abort")
input('?')
open(to_file,'w').write(indata)#无需close
print("done... | code_fim | medium | {
"lang": "python",
"repo": "raulpeter/lpthw",
"path": "/ex17.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>)
random_data = data.copy()
for i in range(5):
random_data["%d"%(i+1)] = np.random.permutation(random_data["%d"%(i+1)])
for k in range(len(post)):
idx = np.random.permutation(range(1,5))[0]
for i in range(5):
if i == idx:
... | code_fim | hard | {
"lang": "python",
"repo": "Doken-Tokuyama/gpt2_finetune",
"path": "/data/gen_fake_st.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>d(line.strip())
with open("./roc.txt", "r") as fin:
with open("./roc_replace.txt", "w") as fout:
post, tmp = [], []
for k, line in enumerate(fin):
i = k + 1
if i % 6 == 0:
post.append(tmp)
tmp = []
else:
... | code_fim | hard | {
"lang": "python",
"repo": "Doken-Tokuyama/gpt2_finetune",
"path": "/data/gen_fake_st.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Doken-Tokuyama/gpt2_finetune path: /data/gen_fake_st.py
import numpy as np
import random
with open("./roc.txt", "r") as fin:
with open("./roc_shuffle.txt", "w") as fout:
tmp = []
for k, line in enumerate(fin):
i = k + 1
if i % 6 == 0:
i... | code_fim | hard | {
"lang": "python",
"repo": "Doken-Tokuyama/gpt2_finetune",
"path": "/data/gen_fake_st.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alanchristo/sorting path: /insertion sort.py
a= input("Enter number")
a= a.split()
b=[]
for x in a:
b.append(int(x))
<|fim_suffix|> if b[s]<b[j]:
c=b[s]
b.pop(s)
b.insert(b.index(b[j]),c)
print(b,b[:i],b[s])<|fim_middle|>print(b)
l=le... | code_fim | medium | {
"lang": "python",
"repo": "alanchristo/sorting",
"path": "/insertion sort.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if b[s]<b[j]:
c=b[s]
b.pop(s)
b.insert(b.index(b[j]),c)
print(b,b[:i],b[s])<|fim_prefix|># repo: alanchristo/sorting path: /insertion sort.py
a= input("Enter number")
a= a.split()
b=[]
for x in a:
b.append(int(x))
<|fim_middle|>print(b)
l=le... | code_fim | medium | {
"lang": "python",
"repo": "alanchristo/sorting",
"path": "/insertion sort.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: a19c97/csc148-code path: /Labs /BST/filter_pos_rec.py
__author__ = 'AChen'
from rec_linked_list import *
def filter_pos_rec(lst):
<|fim_suffix|> """
if lst.is_empty():
return lst
else:
pos_rec = LinkedListRec([])
if lst._first > 0:
pos_rec._first =... | code_fim | medium | {
"lang": "python",
"repo": "a19c97/csc148-code",
"path": "/Labs /BST/filter_pos_rec.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
@type lst: LinkedListRec
>>> lst = LinkedListRec([3, -10, 4, 0])
>>> pos = filter_pos_rec(lst)
>>> str(pos)
'3 -> 4'
"""
if lst.is_empty():
return lst
else:
pos_rec = LinkedListRec([])
if lst._first > 0:
pos_rec._first = lst._fir... | code_fim | medium | {
"lang": "python",
"repo": "a19c97/csc148-code",
"path": "/Labs /BST/filter_pos_rec.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lostandlucky/RealtorAdvantage path: /BrokerageTable/models.py
from django.db import models
class Brokerage(models.Model):
BrokerageName = models.CharField(max_length=500)
#To-Do Fix additional settings for ImagesFields/FileFields
#BrokerageLogo = ImageField
ReviewLink = models.CharField(max_... | code_fim | hard | {
"lang": "python",
"repo": "lostandlucky/RealtorAdvantage",
"path": "/BrokerageTable/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>ams_Hiring = models.BooleanField()
Marketing = models.CharField(max_length=500)
TotalListings = models.IntegerField()
ConferenceRooms = models.BooleanField()
OfficeLeaders = models.CharField (max_length=500)
#OfficeLeaderPhoto = models.ImageField<|fim_prefix|># repo: lostandlucky/RealtorAdvantage pa... | code_fim | hard | {
"lang": "python",
"repo": "lostandlucky/RealtorAdvantage",
"path": "/BrokerageTable/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i in range(len(gun.bullets)):
try:
gun.bullets[i].x = gun.bullets[i].x + 4 * math.cos(math.radians(gun.bullets[i].angle + 90))
gun.bullets[i].y = gun.bullets[i].y + 4 * math.sin(math.radians(gun.bullets[i].angle - 90))
if gun.bullets[i].x > 600:
... | code_fim | hard | {
"lang": "python",
"repo": "heros1sport/ALLmyPythonCodes",
"path": "/Ludum Dare 2000.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: heros1sport/ALLmyPythonCodes path: /Ludum Dare 2000.py
import random
import math
import time
import pygame
pygame.init()
scr = pygame.display.set_mode((700,700))
enemies = []
#music = pygame.mixer.music.load('ENERGETIC CHIPTUNE Thermal - Evan King.mp3')
#pygame.mixer.music.play(-1)
hit =... | code_fim | hard | {
"lang": "python",
"repo": "heros1sport/ALLmyPythonCodes",
"path": "/Ludum Dare 2000.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.bullets2.append(Bullet((255,255,0)))
self.bullets2[-1].x = x
self.bullets2[-1].y = y
self.bullets2[-1].angle = angle
class Enemy:
def __init__(self):
self.x = 100
self.y = 100
self.speed = 2
self.hearts = 3
self.ima... | code_fim | hard | {
"lang": "python",
"repo": "heros1sport/ALLmyPythonCodes",
"path": "/Ludum Dare 2000.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MUD-Django/MUD-Django-BE path: /adv_project/urls.py
from django.contrib import admin
from django.urls import path, include, re_path
from django.conf.urls import include
# from rest_framework import routers
from rest_framework.authtoken import views
# from adventure.api import PlayerViewSet, RoomV... | code_fim | medium | {
"lang": "python",
"repo": "MUD-Django/MUD-Django-BE",
"path": "/adv_project/urls.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># router = routers.DefaultRouter()
# router.register('rooms', RoomViewSet)
# router.register('currentRoom', PlayerViewSet)
urlpatterns = [
path('admin/', admin.site.urls),
path('api/', include('api.urls')),
path('api/adv/', include('adventure.urls')),
# path('api-token-auth', views.obt... | code_fim | medium | {
"lang": "python",
"repo": "MUD-Django/MUD-Django-BE",
"path": "/adv_project/urls.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># making a list from an object and an int
@micropython.viper
def viper_list(x, y:int):
return [x, y + 1]
print(viper_list(1, 2))
# making a set from an object and an int
@micropython.viper
def viper_set(x, y:int):
return {x, y + 1}
print(sorted(list(viper_set(1, 2))))
# raising an ex... | code_fim | hard | {
"lang": "python",
"repo": "jiapei100/Stereo",
"path": "/micropython/tests/micropython/viper_misc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return {x, y + 1}
print(sorted(list(viper_set(1, 2))))
# raising an exception
@micropython.viper
def viper_raise(x:int):
raise OSError(x)
try:
viper_raise(1)
except OSError as e:
print(repr(e))
# this doesn't work at the moment
#@micropython.viper
#def g() -> uint:
# re... | code_fim | hard | {
"lang": "python",
"repo": "jiapei100/Stereo",
"path": "/micropython/tests/micropython/viper_misc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JohnHamm0nd/algorithm path: /codingdojang_LV2/최빈값 구하기.py
"""
리스트에 있는 숫자들의 최빈값을 구하는 프로그램을 만들어라.
[12, 17, 19, 17, 23] = 17
[26, 37, 26, 37, 91] = 26, 37
[28, 30, 32, 34, 144] = 없다
최빈값 : 자료의 값 중에서 가장 많이 나타난 값
① 자료의 값이 모두 같거나 모두 다르면 최빈값은 없다.
② 자료의 값이 모두 다를 때, 도수가 가장 큰 값이 1개 이상 있으면 그 값은 모두 최빈값이다.
"... | code_fim | medium | {
"lang": "python",
"repo": "JohnHamm0nd/algorithm",
"path": "/codingdojang_LV2/최빈값 구하기.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>for numbers in n_list:
n_dict = {}
for n in numbers:
if n in n_dict:
n_dict[n] += 1
else:
n_dict[n] = 1
mode = []
if len(n_dict) == 1 or len(n_dict) == len(numbers):
print(numbers, '= 없다')
else:
mode_count = max(n_dict.values())
... | code_fim | hard | {
"lang": "python",
"repo": "JohnHamm0nd/algorithm",
"path": "/codingdojang_LV2/최빈값 구하기.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MakoLab/graphchain-indy-plugin path: /plenum/server/plugin/graphchain/stardog_graph_store.py
import requests
from SPARQLWrapper import SPARQLWrapper, JSON
from rdflib import Graph
from plenum.server.plugin.graphchain.graph_store import GraphStore
from plenum.server.plugin.graphchain.logger impor... | code_fim | hard | {
"lang": "python",
"repo": "MakoLab/graphchain-indy-plugin",
"path": "/plenum/server/plugin/graphchain/stardog_graph_store.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> g = Graph()
g.parse(data=raw_graph, format=graph_format)
sparql_query = SPARQLWrapper(
self._get_sparql_endpoint_for_query(),
self._get_sparql_endpoint_for_update())
query = GraphStore.INSERT_GRAPH_QUERY_TEMPLATE.format(ihash, g.serialize(format='n... | code_fim | hard | {
"lang": "python",
"repo": "MakoLab/graphchain-indy-plugin",
"path": "/plenum/server/plugin/graphchain/stardog_graph_store.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_nouns(self, tokens):
nouns = []
for word, pos in tokens:
if pos == "NN":
nouns.push(word)<|fim_prefix|># repo: vijaypandiyan/ChatBot path: /app/nlp_utility.py
class NlpUtility():
"""
Utility methods to get particular parts of speech from a token set
"""
def get_nouns(self, tokens... | code_fim | hard | {
"lang": "python",
"repo": "vijaypandiyan/ChatBot",
"path": "/app/nlp_utility.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vijaypandiyan/ChatBot path: /app/nlp_utility.py
class NlpUtility():
"""
Utility methods to get particular parts of speech from a token set
"""
def get_nouns(self, tokens):
<|fim_suffix|> nouns = []
for word, pos in tokens:
if pos == "NN":
nouns.push(word)<|fim_middle|> nouns = []
... | code_fim | hard | {
"lang": "python",
"repo": "vijaypandiyan/ChatBot",
"path": "/app/nlp_utility.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def listBuilder():
b = []
for x in range(5):
b.append(10 * x)
return b
print "[done, for real]"<|fim_prefix|># repo: GoogleJump/AdvisorAnimals path: /code.py
def helloWorld():
print "We are in DEMO land!"
<|fim_middle|>for i in range(10):
helloWorld()
print listBuilder()
| code_fim | easy | {
"lang": "python",
"repo": "GoogleJump/AdvisorAnimals",
"path": "/code.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GoogleJump/AdvisorAnimals path: /code.py
def helloWorld():
print "We are in DEMO land!"
for i in range(10):
helloWorld()
print listBuilder()
def listBuilder():
<|fim_suffix|>print "[done, for real]"<|fim_middle|> b = []
for x in range(5):
b.append(10 * x)
return b
| code_fim | medium | {
"lang": "python",
"repo": "GoogleJump/AdvisorAnimals",
"path": "/code.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kunalnag/Django-REST-framework path: /DsfPro1/api1/views.py
import django
from rest_framework import serializers
from django.shortcuts import render
from .models import Student
from .serializiers import StudentSerializer
from rest_framework.renderers import JSONRenderer
from django.http import Ht... | code_fim | hard | {
"lang": "python",
"repo": "kunalnag/Django-REST-framework",
"path": "/DsfPro1/api1/views.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> #use simply to reduce the extra line of code
return JsonResponse(serializers.data)
def student_list(request):
#Student model object
stu = Student.objects.all()
#Serializers convert student model object to python dictionary
serializers = StudentSerializer(stu,many=True)
#JSONR... | code_fim | hard | {
"lang": "python",
"repo": "kunalnag/Django-REST-framework",
"path": "/DsfPro1/api1/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def student_list(request):
#Student model object
stu = Student.objects.all()
#Serializers convert student model object to python dictionary
serializers = StudentSerializer(stu,many=True)
#JSONRenderer convert student python dictionary to json object
# json_data = JSONRenderer().re... | code_fim | medium | {
"lang": "python",
"repo": "kunalnag/Django-REST-framework",
"path": "/DsfPro1/api1/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: escramer/minecraft-bot path: /bot.py
"""Return whether or not the bot contains the block id."""
return block_ in self._inventory
def _get_block(self, pos):
"""Get the block at the position."""
raise NotImplementedError
def _place(self, loc, exclude=None, block... | code_fim | hard | {
"lang": "python",
"repo": "escramer/minecraft-bot",
"path": "/bot.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Initialized the problem with an _ImaginaryBot.
block is a block id."""
self._bot = imag_bot
self._block = block_
self._player_loc = player_loc
def get_player_loc(self):
"""Return the player location."""
return deepcopy(self._player_loc)
... | code_fim | hard | {
"lang": "python",
"repo": "escramer/minecraft-bot",
"path": "/bot.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _move(self, pos):
"""Move there, and set the appropriate blocks."""
self._set_block(self._pos, _AIR)
self._set_block(self._pos + _Vec3(0, 1, 0), _AIR)
self._set_block(pos, self._BOT_BLOCK)
self._set_block(pos + _Vec3(0, 1, 0), self._BOT_BLOCK)
self._... | code_fim | hard | {
"lang": "python",
"repo": "escramer/minecraft-bot",
"path": "/bot.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: knparikh/IK path: /LinkedLists/super_stack/stack.py
#!/bin/python3
# Implement a stack with push, pop, inc(e, k) operations
# inc (e,k) - Add k to each of bottom e elements
import sys
class Stack(object):
def __init__(self):
self.arr = []
def push(self, val):
self.arr.a... | code_fim | hard | {
"lang": "python",
"repo": "knparikh/IK",
"path": "/LinkedLists/super_stack/stack.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
operations_cnt = 0
operations_cnt = int(input())
operations_i = 0
operations = []
while operations_i < operations_cnt:
try:
operations_item = str(input())
except:
operations_item = None
operations.append(operat... | code_fim | hard | {
"lang": "python",
"repo": "knparikh/IK",
"path": "/LinkedLists/super_stack/stack.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class GoogleArticleItem(scrapy.Item):
title = scrapy.Field()
date = scrapy.Field()
snippet = scrapy.Field()
source = scrapy.Field()<|fim_prefix|># repo: mzw4/MorningAssistant path: /news_crawler/news_crawler/items.py
# -*- coding: utf-8 -*-
# Define here the models for your scraped items... | code_fim | medium | {
"lang": "python",
"repo": "mzw4/MorningAssistant",
"path": "/news_crawler/news_crawler/items.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mzw4/MorningAssistant path: /news_crawler/news_crawler/items.py
# -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
import scrapy
<|fim_suffix|> title = scrapy.Field()
date = scrapy.Field()... | code_fim | medium | {
"lang": "python",
"repo": "mzw4/MorningAssistant",
"path": "/news_crawler/news_crawler/items.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>f = df.head(100)
print(df.head())
#print(list(data))<|fim_prefix|># repo: xgao0412/stock_price_app path: /aa.py
import requests
import json
import pandas as pd
n1 = 'ADS'
api_url = 'https://www.quandl.com/api/v3/da<|fim_middle|>tasets/WIKI/%s.csv' % n1
df = pd.read_csv(api_url)
d | code_fim | easy | {
"lang": "python",
"repo": "xgao0412/stock_price_app",
"path": "/aa.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>tasets/WIKI/%s.csv' % n1
df = pd.read_csv(api_url)
df = df.head(100)
print(df.head())
#print(list(data))<|fim_prefix|># repo: xgao0412/stock_price_app path: /aa.py
import requests
import json
import pandas as pd
n1<|fim_middle|> = 'ADS'
api_url = 'https://www.quandl.com/api/v3/da | code_fim | easy | {
"lang": "python",
"repo": "xgao0412/stock_price_app",
"path": "/aa.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xgao0412/stock_price_app path: /aa.py
import requests
import json
import pandas as pd
n1<|fim_suffix|>f = df.head(100)
print(df.head())
#print(list(data))<|fim_middle|> = 'ADS'
api_url = 'https://www.quandl.com/api/v3/datasets/WIKI/%s.csv' % n1
df = pd.read_csv(api_url)
d | code_fim | medium | {
"lang": "python",
"repo": "xgao0412/stock_price_app",
"path": "/aa.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> for sentence in pb.progressbar(trainset.get_set(phase)):
model.zero_grad()
role_p = model(*sentence['inputs'])
_, predict = torch.max(role_p, 1)
loss = lossfunction(role_p, autograd.Variable(sentence['targets'][0]))
... | code_fim | hard | {
"lang": "python",
"repo": "liu946/BiAffineSrl",
"path": "/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: liu946/BiAffineSrl path: /main.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import torch
from torch import nn, autograd
import config
import time
import copy
import progressbar as pb
from dataset import TrainDataSet
from model import BiAffineSrlModel
from fscore import FScore
conf... | code_fim | hard | {
"lang": "python",
"repo": "liu946/BiAffineSrl",
"path": "/main.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> model.load_state_dict(best_model_wts)
return model
if __name__ == '__main__':
config.parse_args()
torch.manual_seed(config.get_option('seed'))
mode = config.get_option('mode')
if mode == 'train':
train()
else:
NotImplementedError()<|fim_prefix|># repo: liu946/... | code_fim | hard | {
"lang": "python",
"repo": "liu946/BiAffineSrl",
"path": "/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: michaelyhuang23/Stock-Prediction path: /test.py
from StockDatabase import StockDatabase
from RNNinner import RecurrentAnalyzer
import torch
import matplotlib.pyplot as plt
import numpy as np
database = StockDatabase()
database.read_data()
<|fim_suffix|>model.eval()
with torch.no_grad():
preds ... | code_fim | hard | {
"lang": "python",
"repo": "michaelyhuang23/Stock-Prediction",
"path": "/test.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>prices = torch.tensor(database.normalize(database.get_stock_prices('AAPL',length=2000)))
print(prices.shape)
model = RecurrentAnalyzer(100,10).to('cpu')
model.load_state_dict(torch.load('rnn_inner'))
model.init_hidden()
model.eval()
with torch.no_grad():
preds = list(model(prices[:50,None,None])[:,0])... | code_fim | medium | {
"lang": "python",
"repo": "michaelyhuang23/Stock-Prediction",
"path": "/test.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> num = eval(input('Enter number to count zeros in it\'s binary: '))
print('Assumung int is of 32 bits.')
result = countOfZeros(num)
print('Number of zero\'s in %d = %d'%(num,result))
if __name__ == '__main__':
main()<|fim_prefix|># repo: kajaltingare/Python path: /Basics/UsingFu... | code_fim | easy | {
"lang": "python",
"repo": "kajaltingare/Python",
"path": "/Basics/UsingFunc/countOfZeros.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kajaltingare/Python path: /Basics/UsingFunc/countOfZeros.py
# Write a program to accept a no & count number of zeros in it.(int=32bits)
def countOfZeros(num):
cnt = 0
while(num!=0):
cnt+=1
num = num&(num-1)
return (32-cnt)
<|fim_suffix|> num = e... | code_fim | easy | {
"lang": "python",
"repo": "kajaltingare/Python",
"path": "/Basics/UsingFunc/countOfZeros.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>with open('testfile_short1.csv', 'r') as original: data = original.read()
for i in range(2):
with open('testfile_short3.csv', 'a') as modified: modified.write(data)<|fim_prefix|># repo: YaroslavGrushko/Spark path: /DoubleBigData/doubleBigData.py
import pandas as pd
from sqlalchemy import create_engin... | code_fim | easy | {
"lang": "python",
"repo": "YaroslavGrushko/Spark",
"path": "/DoubleBigData/doubleBigData.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: YaroslavGrushko/Spark path: /DoubleBigData/doubleBigData.py
import pandas as pd
from sqlalchemy import create_engine
# file = 'testfile.csv'
<|fim_suffix|>with open('testfile_short1.csv', 'r') as original: data = original.read()
for i in range(2):
with open('testfile_short3.csv', 'a') as mod... | code_fim | easy | {
"lang": "python",
"repo": "YaroslavGrushko/Spark",
"path": "/DoubleBigData/doubleBigData.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> for num in nums:
if num != val:
nums[last_position] = num
last_position += 1
return last_position
"""
Complexity: Time : O(n) | Space: O(1)
"""<|fim_prefix|># repo: aroranubhav/DailyBit path: /RemoveElement.py
"""
Given an array nums a... | code_fim | hard | {
"lang": "python",
"repo": "aroranubhav/DailyBit",
"path": "/RemoveElement.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aroranubhav/DailyBit path: /RemoveElement.py
"""
Given an array nums and a value val, remove all instances of
that value in-place and return the new length.
Do not allocate extra space for another array, you must do
this by modifying the input array in-place with O(1) extra memor... | code_fim | medium | {
"lang": "python",
"repo": "aroranubhav/DailyBit",
"path": "/RemoveElement.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Cjames21082/Hackbright-Project--Soccer path: /alembic/versions/35f6815c3112_tables.py
"""tables
Revision ID: 35f6815c3112
Revises: None
Create Date: 2013-07-28 21:15:38.385006
"""
# revision identifiers, used by Alembic.
revision = '35f6815c3112'
down_revision = None
from alembic import op
im... | code_fim | hard | {
"lang": "python",
"repo": "Cjames21082/Hackbright-Project--Soccer",
"path": "/alembic/versions/35f6815c3112_tables.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> sa.PrimaryKeyConstraint('id')
)
op.create_table('positions',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('user_id', sa.Integer(), nullable=True),
sa.Column('position_type', sa.String(length=64), nullable=True),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ),
... | code_fim | hard | {
"lang": "python",
"repo": "Cjames21082/Hackbright-Project--Soccer",
"path": "/alembic/versions/35f6815c3112_tables.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>and accuracy and precision to overcome do the import * from decimal
from decimal import *
x = .1 + .1 + .1 -.3
print("x is {}" .format(x))
print(type(x))
# =============>How to solve the above problem accuracy<===============
# And the type is class decimal.Decimal
# When dealing with money use this metho... | code_fim | hard | {
"lang": "python",
"repo": "gitlearn212/My-Python-Lab",
"path": "/Python/linkedincourse/types2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gitlearn212/My-Python-Lab path: /Python/linkedincourse/types2.py
# =============>This is a Normal mathematical tasks<==========
x = 7
x = 7 // 3 # rounds the number = 2 ans class int
#x = 7 / 3 # gives the floating number = 2.33333335 ans class float
#x = 7 % 3 # gives the reminder = 1 an<|fi... | code_fim | hard | {
"lang": "python",
"repo": "gitlearn212/My-Python-Lab",
"path": "/Python/linkedincourse/types2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>m1 = float(raw_input("nhap gia m1 :"))
m2 = float(raw_input("nhap gia m2 :"))
s = int (raw_input("nhap so dien da dung :"))
TongTien(m1,m2,s)<|fim_prefix|># repo: sonkute96/hocPython path: /BaiTap2.py
def TongTien(m1,m2,s):
if s <=100:
tong = m1 * s
else:
tong = m1 * 100 + m2 * (s-100)
<|fim_... | code_fim | easy | {
"lang": "python",
"repo": "sonkute96/hocPython",
"path": "/BaiTap2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sonkute96/hocPython path: /BaiTap2.py
def TongTien(m1,m2,s):
if s <=100:
tong = m1 * s
else:
tong = m1 * 100 + m2 * (s-100)
print tong
m1 = float(raw_input("nhap gia m1 :"))
<|fim_suffix|>s = int (raw_input("nhap so dien da dung :"))
TongTien(m1,m2,s)<|fim_middle|>m2 = float(raw_in... | code_fim | easy | {
"lang": "python",
"repo": "sonkute96/hocPython",
"path": "/BaiTap2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>s = int (raw_input("nhap so dien da dung :"))
TongTien(m1,m2,s)<|fim_prefix|># repo: sonkute96/hocPython path: /BaiTap2.py
def TongTien(m1,m2,s):
if s <=100:
tong = m1 * s
else:
tong = m1 * 100 + m2 * (s-100)
print tong
m1 = float(raw_input("nhap gia m1 :"))
<|fim_middle|>m2 = float(raw_in... | code_fim | easy | {
"lang": "python",
"repo": "sonkute96/hocPython",
"path": "/BaiTap2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> while True:
ret, frame = cap.read()
cv2.imshow(frame)<|fim_prefix|># repo: gilbertfrancois/insta_camera path: /main2.py
import cv2
import numpy as np
if __name__ == "__main__":
<|fim_middle|> cap = cv2.VideoCapture()
| code_fim | easy | {
"lang": "python",
"repo": "gilbertfrancois/insta_camera",
"path": "/main2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gilbertfrancois/insta_camera path: /main2.py
import cv2
import numpy as np
<|fim_suffix|> cap = cv2.VideoCapture()
while True:
ret, frame = cap.read()
cv2.imshow(frame)<|fim_middle|>if __name__ == "__main__":
| code_fim | easy | {
"lang": "python",
"repo": "gilbertfrancois/insta_camera",
"path": "/main2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gilbertfrancois/insta_camera path: /main2.py
import cv2
import numpy as np
if __name__ == "__main__":
<|fim_suffix|> while True:
ret, frame = cap.read()
cv2.imshow(frame)<|fim_middle|> cap = cv2.VideoCapture()
| code_fim | easy | {
"lang": "python",
"repo": "gilbertfrancois/insta_camera",
"path": "/main2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> Returns
-------
train : np.ndarray, shape=(n_samples,)
The train indices
test : np.ndarray, shape=(n_samples,)
The test indices
"""
n_samples = frame.shape[0]
n_train, n_test = _validate_shuffle_split(n_samples,
... | code_fim | hard | {
"lang": "python",
"repo": "vedraiyani/skutil",
"path": "/skutil/h2o/split.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vedraiyani/skutil path: /skutil/h2o/split.py
frame = check_frame(frame, copy=False)
indices = np.arange(frame.shape[0])
for test_index in self._iter_test_masks(frame, y):
train_index = indices[np.logical_not(test_index)]
test_index = indices[test_in... | code_fim | hard | {
"lang": "python",
"repo": "vedraiyani/skutil",
"path": "/skutil/h2o/split.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _iter_test_masks(self, frame, y=None):
"""Generates boolean masks corresponding to the tests set.
Parameters
----------
frame : H2OFrame
The h2o frame to split
y : string, optional (default=None)
The column to stratify.
Re... | code_fim | hard | {
"lang": "python",
"repo": "vedraiyani/skutil",
"path": "/skutil/h2o/split.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Metadata(object):
def __init__(self, num_groups, data_type, dimension):
self.num_groups = num_groups
self.data_type = data_type
self.dimension = dimension
self.groups = dict()
def add_group(self, name, path, val_frac):
print("group", name)
sel... | code_fim | hard | {
"lang": "python",
"repo": "liside/Kingpin",
"path": "/groupml/process_data.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def check_hdfs_path(path):
return path.startswith("hdfs")
class Metadata(object):
def __init__(self, num_groups, data_type, dimension):
self.num_groups = num_groups
self.data_type = data_type
self.dimension = dimension
self.groups = dict()
def add_group(self... | code_fim | hard | {
"lang": "python",
"repo": "liside/Kingpin",
"path": "/groupml/process_data.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: liside/Kingpin path: /groupml/process_data.py
#Copyright 2020 Side Li, Arun Kumar
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | code_fim | hard | {
"lang": "python",
"repo": "liside/Kingpin",
"path": "/groupml/process_data.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Abhijeetv007/Disaster_Pipeline_Project path: /data/data/process_data.py
# import libraries
import sys
import pandas as pd
import numpy as n
from sqlalchemy import create_engine
def load_data(messages_filepath, categories_filepath):
"""
This function loads the message and categories files... | code_fim | hard | {
"lang": "python",
"repo": "Abhijeetv007/Disaster_Pipeline_Project",
"path": "/data/data/process_data.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def main():
if len(sys.argv) == 4:
messages_filepath, categories_filepath, database_filepath = sys.argv[1:]
print('Loading data...\n MESSAGES: {}\n CATEGORIES: {}'
.format(messages_filepath, categories_filepath))
dataframe = load_data(messages_filepath, c... | code_fim | hard | {
"lang": "python",
"repo": "Abhijeetv007/Disaster_Pipeline_Project",
"path": "/data/data/process_data.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rajatsharma369007/Stock-Forecast path: /Implementation/div_proj_2 - Modified.py
#https://www.youtube.com/watch?v=CQ5kc_j4RjA
import pandas as pd
#import quandl
import math, datetime
import time
import numpy as np
from pandas.tools.plotting import scatter_matrix
import matplotlib.pyplot a... | code_fim | hard | {
"lang": "python",
"repo": "rajatsharma369007/Stock-Forecast",
"path": "/Implementation/div_proj_2 - Modified.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Setting Date
Set_Date()
#Gap of 1 month in time
#n = int(input("Enter the No. of Years in Months:"))
start_date += datetime.timedelta(weeks=-100)
#Creat a DataFrame
Data_frame_Create()
#Create Features - X
Add_Features_x()
#Forecast
Forcast_Values()
#Label - y
Add_Features_y... | code_fim | hard | {
"lang": "python",
"repo": "rajatsharma369007/Stock-Forecast",
"path": "/Implementation/div_proj_2 - Modified.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hfujikawa/Keras_test path: /jpg2rename_bmp.py
# -*- coding: utf-8 -*-
"""
Created on Sat Oct 20 07:48:47 2018
@author: hfuji
"""
import os
from PIL import Image
import glob
import shutil
src_jpg_dir = 'D:/Develop/data/VOCdevkit/VOC2007/JPEGImages/'
dst_bmp_dir = 'D:/Temp/'
<|fi... | code_fim | medium | {
"lang": "python",
"repo": "hfujikawa/Keras_test",
"path": "/jpg2rename_bmp.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>cnt = 0
for jpg_file in jpg_files:
basename = os.path.basename(jpg_file)
if int(basename[:-4]) % 10 == 0:
cnt += 1
dirname = os.path.dirname(jpg_file)
dirs = dirname.split('/')
new_fname = dirs[-2] + '_' + basename[:-4] + '.bmp'
dst_bmp_path = dst_bm... | code_fim | medium | {
"lang": "python",
"repo": "hfujikawa/Keras_test",
"path": "/jpg2rename_bmp.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lixiaofeng1993/UIAutomation path: /page/page_zaojiao.py
def element_edition_btn(self):
return self.find_element(self.edition_btn_loc)
delete_small1_btn_loc = ('xpath', '//*[contains(@text, "拖动到此处删除")]')
def element_delete_small1_btn(self):
return self.find_element(... | code_fim | hard | {
"lang": "python",
"repo": "lixiaofeng1993/UIAutomation",
"path": "/page/page_zaojiao.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def element_my_home(self):
return self.find_element(self.my_home_loc)
switch_btn_loc = ('xpath', '//*[contains(@text, "切换")]') # 切换
def click_switch_btn(self):
self.click(self.switch_btn_loc)
baby_bri_loc = ('xpath', '//*[contains(@text, "宝宝生日：")]') # 宝宝生日：
def cl... | code_fim | hard | {
"lang": "python",
"repo": "lixiaofeng1993/UIAutomation",
"path": "/page/page_zaojiao.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lixiaofeng1993/UIAutomation path: /page/page_zaojiao.py
self.click(self.helper_loc)
small_help_btn_loc = ('xpath', '//*[@resource-id="com.tencent.mm:id/cx" and @text="小程序助手"]') # 小程序助手
def click_small_help_btn(self):
self.click(self.small_help_btn_loc)
small_name_l... | code_fim | hard | {
"lang": "python",
"repo": "lixiaofeng1993/UIAutomation",
"path": "/page/page_zaojiao.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def update(request):
totalListing = 0
totalSold = 0
form = SearchBosta()
data = {
'totalListing': totalListing,
'totalSold': totalSold,
'countListing': 0,
'countSold': 0,
'form': form
}
if request.method == 'POST':
form = SearchBosta(request.POST)
if form.is_valid():
q = form.cleaned_dat... | code_fim | hard | {
"lang": "python",
"repo": "osaatcioglu/booliwood",
"path": "/main/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: osaatcioglu/booliwood path: /main/views.py
from django.shortcuts import render
from django.http import HttpResponseRedirect, HttpResponse, Http404, HttpResponseNotAllowed
from booli import booliwood
from models import add_bosta, get_all_bostas, Bosta
from django import forms
import time
class Bo... | code_fim | hard | {
"lang": "python",
"repo": "osaatcioglu/booliwood",
"path": "/main/views.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#finsing the length of the 2 fragments
firstFragmentLen = len(firstFragment)
secondFragmentLen = len(secondFragment)
#printing the original and the split DNA sequence
print("the original DNA sequence is", dnaSequence)
print("the first fragment is", firstFragment, "and is", firstFragmentLen ,"letters long... | code_fim | hard | {
"lang": "python",
"repo": "18bmartin/HelloWorld",
"path": "/Restriction fragment lengths.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 18bmartin/HelloWorld path: /Restriction fragment lengths.py
#the initial DNA sequence
dnaSequence = 'ACTGATCGATTACGTATAGTAGAATTCTATCATACATATATATCGATGCGTTCAT'
<|fim_suffix|>#finsing the length of the 2 fragments
firstFragmentLen = len(firstFragment)
secondFragmentLen = len(secondFragment)
#print... | code_fim | hard | {
"lang": "python",
"repo": "18bmartin/HelloWorld",
"path": "/Restriction fragment lengths.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#printing the original and the split DNA sequence
print("the original DNA sequence is", dnaSequence)
print("the first fragment is", firstFragment, "and is", firstFragmentLen ,"letters long")
print("the second fragment is", secondFragment, "and is", secondFragmentLen,"letters long")<|fim_prefix|># repo: 18... | code_fim | hard | {
"lang": "python",
"repo": "18bmartin/HelloWorld",
"path": "/Restriction fragment lengths.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: huyan0/lyricbreak path: /Song.py
import json
import jieba
import util
from pypinyin import pinyin, Style
class Song:
def __init__(self, songName, artistName, lyric):
self.songName = songName
self.artistName = artistName
self.lyric = lyric
self.phrasePinyinDict... | code_fim | medium | {
"lang": "python",
"repo": "huyan0/lyricbreak",
"path": "/Song.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> file = open(filename, ("w+","a+")[append],encoding="utf8")
json.dump(self.__dict__, file, indent=4, ensure_ascii=False)
file.close()
def write(self):
file = open(self.getSongName(), "w+")
file.write(self.getLyric())
file.close()<|fim_prefix|># repo: huy... | code_fim | medium | {
"lang": "python",
"repo": "huyan0/lyricbreak",
"path": "/Song.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>We have daBcd and ABC. We perform the following operation:
Capitalize the letters a and c in so that dABCd.
Delete all the remaining lowercase letters in so that ABC.
Because we were able to successfully convert to , we print YES on a new line.
"""
#!/bin/python3
import math
import os
import ra... | code_fim | hard | {
"lang": "python",
"repo": "vitthalpadwal/Python_Program",
"path": "/hackerrank/preparation_kit/dynamic_programming/abbrevation.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vitthalpadwal/Python_Program path: /hackerrank/preparation_kit/dynamic_programming/abbrevation.py
"""
You can perform the following operations on the string, :
Capitalize zero or more of 's lowercase letters.
Delete all of the remaining lowercase letters in .
Given two strings, and , determine ... | code_fim | hard | {
"lang": "python",
"repo": "vitthalpadwal/Python_Program",
"path": "/hackerrank/preparation_kit/dynamic_programming/abbrevation.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == '__main__':
fptr = open(os.environ['OUTPUT_PATH'], 'w')
q = int(input())
for q_itr in range(q):
a = input()
b = input()
result = abbreviation(a, b)
fptr.write(result + '\n')
fptr.close()<|fim_prefix|># repo: vitthalpadwal/Python_Program... | code_fim | hard | {
"lang": "python",
"repo": "vitthalpadwal/Python_Program",
"path": "/hackerrank/preparation_kit/dynamic_programming/abbrevation.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>transform_data2(lambda data: data / 5, 10, 15, 22, 30)<|fim_prefix|># repo: sliverz6/Python_Blockchain_Project path: /assignment.py
# 1
def transform_data(fn):
print(fn(10))
# 2
transform_data(lambda data: data / 5)
# 3
def transform_data2(fn, *args):
<|fim_middle|> for arg in args:
... | code_fim | hard | {
"lang": "python",
"repo": "sliverz6/Python_Blockchain_Project",
"path": "/assignment.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sliverz6/Python_Blockchain_Project path: /assignment.py
# 1
def transform_data(fn):
print(fn(10))
# 2
transform_data(lambda data: data / 5)
# 3
def transform_data2(fn, *args):
for arg in args:
print(fn(arg))
<|fim_suffix|> for arg in args:
print('Result:... | code_fim | medium | {
"lang": "python",
"repo": "sliverz6/Python_Blockchain_Project",
"path": "/assignment.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> thisFont = Glyphs.font # frontmost font
masterIDs = [m.id for m in thisFont.masters]
selectedGlyphs = [l.parent for l in thisFont.selectedLayers]
for thisGlyph in selectedGlyphs:
for masterID in masterIDs:
masterLayer = thisGlyph.layers[masterID]
print("Processing %s, layer '... | code_fim | hard | {
"lang": "python",
"repo": "NaN-xyz/Glyphs-Scripts",
"path": "/Components/Find and Replace Corner Components at Certain Angles.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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