text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: jieuhyl/Dash path: /social_dash/tabs_eg2.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 9 11:12:18 2018
@author: Jie.Hu
"""
import dash
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Input, Output
app ... | code_fim | hard | {
"lang": "python",
"repo": "jieuhyl/Dash",
"path": "/social_dash/tabs_eg2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@skipIf(not HAVE_OE, "Cannot test openeye module without OpenEye tools.")
def test_charge_success2():
m = openmoltools.openeye.smiles_to_oemol(smiles_fails_with_strictStereo)
m = openmoltools.openeye.get_charges(m, strictStereo=False)
@skipIf(not HAVE_OE, "Cannot test openeye module without Open... | code_fim | hard | {
"lang": "python",
"repo": "choderalab/openmoltools",
"path": "/openmoltools/tests/test_openeye.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("input", help="input file path string")
parser.add_argument("output", help="output file path string")
parser.add_argument("property", help="property name to look for")
parser.add_argument("value", help="... | code_fim | medium | {
"lang": "python",
"repo": "luftj/geocode_georef",
"path": "/eval/extract_layer.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: luftj/geocode_georef path: /eval/extract_layer.py
#!/bin/python
import argparse
import json
def extract(json, param, value):
new_feature_list = []
for idx, feature in enumerate(json["features"]):
if param in feature["properties"]:
if str(feature["properties"][param])... | code_fim | hard | {
"lang": "python",
"repo": "luftj/geocode_georef",
"path": "/eval/extract_layer.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> print("extracting features from",args.input)
jsondata = ""
with open(args.input) as file:
jsondata = json.load(file)
jsondata = extract(jsondata, args.property, args.value)
with open(args.output,"w") as outfile:
outfile.write(json.dumps(jsondata))<|fim_prefix|>... | code_fim | hard | {
"lang": "python",
"repo": "luftj/geocode_georef",
"path": "/eval/extract_layer.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> Name = models.CharField(max_length=20)
Status = models.CharField(max_length=500)
Size = models.FloatField()
Latitude = models.FloatField()
Longitude = models.FloatField()<|fim_prefix|># repo: rf-castle/dragon_rader path: /main/models.py
from django.db import models
# Create your mode... | code_fim | easy | {
"lang": "python",
"repo": "rf-castle/dragon_rader",
"path": "/main/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rf-castle/dragon_rader path: /main/models.py
from django.db import models
# Create your models here.
<|fim_suffix|> Name = models.CharField(max_length=20)
Status = models.CharField(max_length=500)
Size = models.FloatField()
Latitude = models.FloatField()
Longitude = models.F... | code_fim | easy | {
"lang": "python",
"repo": "rf-castle/dragon_rader",
"path": "/main/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rf-castle/dragon_rader path: /main/models.py
from django.db import models
<|fim_suffix|>
class User(models.Model):
Name = models.CharField(max_length=20)
Status = models.CharField(max_length=500)
Size = models.FloatField()
Latitude = models.FloatField()
Longitude = models.Flo... | code_fim | easy | {
"lang": "python",
"repo": "rf-castle/dragon_rader",
"path": "/main/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Pes2009/csv-django-parser path: /csvparser/django_parser/views.py
import csv
from django.shortcuts import render
from .models import CsvList
from .forms import UploadForm
<|fim_suffix|> context = {
"form": form,
}
return render(request, "django_parser/upload.html", context, ... | code_fim | hard | {
"lang": "python",
"repo": "Pes2009/csv-django-parser",
"path": "/csvparser/django_parser/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def list(request):
queryset = CsvList.objects.order_by('id')
context = {
"queryset": queryset,
}
return render(request, "django_parser/list.html", context, )<|fim_prefix|># repo: Pes2009/csv-django-parser path: /csvparser/django_parser/views.py
import csv
from django.shortcuts im... | code_fim | hard | {
"lang": "python",
"repo": "Pes2009/csv-django-parser",
"path": "/csvparser/django_parser/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yueyoum/dianjing_editor path: /apps/resources/models.py
# -*- coding: utf-8 -*-
from django.db import models
<|fim_suffix|> return self.name
class Meta:
db_table = 'resource'
verbose_name = "资源"
verbose_name_plural = "资源"<|fim_middle|>class Resource(models.Mo... | code_fim | hard | {
"lang": "python",
"repo": "yueyoum/dianjing_editor",
"path": "/apps/resources/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> db_table = 'resource'
verbose_name = "资源"
verbose_name_plural = "资源"<|fim_prefix|># repo: yueyoum/dianjing_editor path: /apps/resources/models.py
# -*- coding: utf-8 -*-
from django.db import models
class Resource(models.Model):
<|fim_middle|> id = models.CharField(max_length... | code_fim | hard | {
"lang": "python",
"repo": "yueyoum/dianjing_editor",
"path": "/apps/resources/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __unicode__(self):
return self.name
class Meta:
db_table = 'resource'
verbose_name = "资源"
verbose_name_plural = "资源"<|fim_prefix|># repo: yueyoum/dianjing_editor path: /apps/resources/models.py
# -*- coding: utf-8 -*-
from django.db import models
<|fim_middl... | code_fim | hard | {
"lang": "python",
"repo": "yueyoum/dianjing_editor",
"path": "/apps/resources/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def start(self):
for i in range(0, len(self.threads)):
self.threads[i].start()
def post(self, task):
self.lock.acquire()
self.tasks.append(task)
try:
self.cv.notify(1)
except RuntimeError:
print("lock not aqquired") #sho... | code_fim | hard | {
"lang": "python",
"repo": "ericyounger/vaccuBot",
"path": "/worker_thread.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ericyounger/vaccuBot path: /worker_thread.py
import threading
from random import randint
import time
class Worker():
def __init__(self, noOfThreads):
self.noOfThreads = noOfThreads
self.threads = []
self.tasks = []
self.lock = threading.Lock()
self.cv... | code_fim | hard | {
"lang": "python",
"repo": "ericyounger/vaccuBot",
"path": "/worker_thread.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> conferenceid = Column (Integer, Sequence('conferences_conferenceid_seq'), primary_key=True)
meeting = Column (String)
location = Column (String)
def __repr__(self):
return "<Conference(meeting='%s', location='%s')>" % (self.meeting, self.location)<|fim_prefix|># repo: robotprogrammer... | code_fim | medium | {
"lang": "python",
"repo": "robotprogrammer22/Astro-Budget-Site",
"path": "/python/conferences.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __repr__(self):
return "<Conference(meeting='%s', location='%s')>" % (self.meeting, self.location)<|fim_prefix|># repo: robotprogrammer22/Astro-Budget-Site path: /python/conferences.py
from sqlalchemy import Column, Integer, String, Sequence
from sqlalchemy.ext.declarative import declarative_ba... | code_fim | hard | {
"lang": "python",
"repo": "robotprogrammer22/Astro-Budget-Site",
"path": "/python/conferences.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: robotprogrammer22/Astro-Budget-Site path: /python/conferences.py
from sqlalchemy import Column, Integer, String, Sequence
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class Conferences(Base):
<|fim_suffix|> def __repr__(self):
return "<Conference(meetin... | code_fim | medium | {
"lang": "python",
"repo": "robotprogrammer22/Astro-Budget-Site",
"path": "/python/conferences.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.cell_name
class Object(models.Model):
object_name = models.CharField(max_length = 30)
cell = models.ForeignKey(Cell)
owner = models.CharField(max_length = 30, default = "admin")
def __unicode__(self):
return self.object_name<|fim_prefix|># repo: zamanov/Practice path: /serv/models.... | code_fim | hard | {
"lang": "python",
"repo": "zamanov/Practice",
"path": "/serv/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Object(models.Model):
object_name = models.CharField(max_length = 30)
cell = models.ForeignKey(Cell)
owner = models.CharField(max_length = 30, default = "admin")
def __unicode__(self):
return self.object_name<|fim_prefix|># repo: zamanov/Practice path: /serv/models.py
from django.db import mo... | code_fim | medium | {
"lang": "python",
"repo": "zamanov/Practice",
"path": "/serv/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zamanov/Practice path: /serv/models.py
from django.db import models
# Create your models here.
class Cell(models.Model):
<|fim_suffix|>class Object(models.Model):
object_name = models.CharField(max_length = 30)
cell = models.ForeignKey(Cell)
owner = models.CharField(max_length = 30, default =... | code_fim | hard | {
"lang": "python",
"repo": "zamanov/Practice",
"path": "/serv/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.db.execute('delete from dataset where word=?', (word,))
class MarkovBot:
def __init__(self, database):
self.db_driver = DatabaseDriver(database)
def digest_text(self, text):
words = text.split()
for i in range(len(words)-1):
self.db_driver.insert_... | code_fim | hard | {
"lang": "python",
"repo": "eliaskickbush/markovbot",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> words = text.split()
for i in range(len(words)-1):
self.db_driver.insert_combination(words[i], words[i+1], 1)
def build_intervals(self, word_info):
total_elements = 0
probs = 0
intervals = []
for i in range(len(word_info)):
this... | code_fim | hard | {
"lang": "python",
"repo": "eliaskickbush/markovbot",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eliaskickbush/markovbot path: /main.py
import sqlite3,random
class DatabaseDriver:
def __init__(self, name):
self.db = sqlite3.connect(f'{name}.db')
cur = self.db.cursor()
cur.execute("create table if not exists dataset (word STRING, succesor STRING, times INT);")
... | code_fim | hard | {
"lang": "python",
"repo": "eliaskickbush/markovbot",
"path": "/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
node5 = TreeNode(7)
node4 = TreeNode(4)
node3 = TreeNode(12)
node2 = TreeNode(5, node4, node5)
node1 = TreeNode(10, node2, node3)
root = node1
find_path(root, 22)<|fim_prefix|># repo: VCloser/CodingInterviewChinese2-python path: /34_PathInTree.py
cl... | code_fim | medium | {
"lang": "python",
"repo": "VCloser/CodingInterviewChinese2-python",
"path": "/34_PathInTree.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: VCloser/CodingInterviewChinese2-python path: /34_PathInTree.py
class TreeNode(object):
def __init__(self, value, left=None, right=None):
self.value = value
self.left = left
self.right = right
def find_path(root, sums):
if not root:
return []
path = []... | code_fim | hard | {
"lang": "python",
"repo": "VCloser/CodingInterviewChinese2-python",
"path": "/34_PathInTree.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jasapluscom/PYTHON path: /JASAPLUS.COM TRAINING MATERIALS/tkinter/pack_manager.py
#!/usr/bin/env python3
'''
pack_manager.py
tkinter pack manager sample
for python3 training at www.jasaplus.com
'''
from tkinter import Tk,Button, Frame, LEFT, RIGHT, BOTTOM, TOP, RAISED, X, Y, BOTH
master = Tk()
... | code_fim | hard | {
"lang": "python",
"repo": "jasapluscom/PYTHON",
"path": "/JASAPLUS.COM TRAINING MATERIALS/tkinter/pack_manager.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#fill option
btn1x = Button(frame2, text="Button 1")
btn1x.pack(fill=X)
btn1x = Button(frame2, text="Button 1")
btn1x.pack(fill=None)
master.mainloop()<|fim_prefix|># repo: jasapluscom/PYTHON path: /JASAPLUS.COM TRAINING MATERIALS/tkinter/pack_manager.py
#!/usr/bin/env python3
'''
pack_manager.py
tkint... | code_fim | hard | {
"lang": "python",
"repo": "jasapluscom/PYTHON",
"path": "/JASAPLUS.COM TRAINING MATERIALS/tkinter/pack_manager.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mzj14/cs739-project-1 path: /process_performance.py
import os
out = open('performance.csv', 'w')
for nserver in os.listdir("ptest"):
wt = 0
rt = 0
wl = 0
rl = 0
correct = True
for i, fname in enumerate(os.listdir("ptest/"+nserver+"/")):
f = open("ptest/"+nserver+"/"+fna<|fim_suffix|>ens[... | code_fim | hard | {
"lang": "python",
"repo": "mzj14/cs739-project-1",
"path": "/process_performance.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>ens[1].split("ms")[0].strip())
elif "read" in tokens[1]:
rl += float(tokens[1].split("ms")[0].strip())
rl = rl / float(i+1)
wl = wl / float(i+1)
out.write("%s,%.6f,%.6f,%.6f,%.6f\n"%(nserver,rt,wt,rl,wl))
out.close()<|fim_prefix|># repo: mzj14/cs739-project-1 path: /process_performance.py
imp... | code_fim | hard | {
"lang": "python",
"repo": "mzj14/cs739-project-1",
"path": "/process_performance.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>ремя в формате ЧЧ:ММ:СС составляет {hours}:{minutes}:{seconds}")<|fim_prefix|># repo: svet-sham/python path: /HW01/02.py
seconds = int(input("Введите количество секунд "))
hours = seconds // 3600
seconds = seconds - (hours * 3600)
minutes = seconds <|fim_middle|>// 60
seconds = seconds - (minutes * 60)
p... | code_fim | medium | {
"lang": "python",
"repo": "svet-sham/python",
"path": "/HW01/02.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: svet-sham/python path: /HW01/02.py
seconds = int(input("Введите количество секунд "))
hours = seconds // 3600
seconds = seconds - (hours * 3600)
minutes = seconds <|fim_suffix|>ремя в формате ЧЧ:ММ:СС составляет {hours}:{minutes}:{seconds}")<|fim_middle|>// 60
seconds = seconds - (minutes * 60)
p... | code_fim | medium | {
"lang": "python",
"repo": "svet-sham/python",
"path": "/HW01/02.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>// 60
seconds = seconds - (minutes * 60)
print(f"Введеное вами время в формате ЧЧ:ММ:СС составляет {hours}:{minutes}:{seconds}")<|fim_prefix|># repo: svet-sham/python path: /HW01/02.py
seconds = int(input("Введите количество секунд "))
hours = secon<|fim_middle|>ds // 3600
seconds = seconds - (hours * 36... | code_fim | medium | {
"lang": "python",
"repo": "svet-sham/python",
"path": "/HW01/02.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>print(binary_index, binary_time)
linear_start = time.time()
linear_index = linear_insert(array, item)
linear_time = time.time() - linear_start
print(linear_index, linear_time)
bilinear_start = time.time()
bilinear_index = bilinear_insert(array, item)
bilinear_time = time.time() - bilinear_start
print(... | code_fim | hard | {
"lang": "python",
"repo": "rowbot-dev/rowbot.io",
"path": "/test/sort/binary_insert_comparison.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>linear_start = time.time()
linear_index = linear_insert(array, item)
linear_time = time.time() - linear_start
print(linear_index, linear_time)
bilinear_start = time.time()
bilinear_index = bilinear_insert(array, item)
bilinear_time = time.time() - bilinear_start
print(bilinear_index, bilinear_time)<|fi... | code_fim | hard | {
"lang": "python",
"repo": "rowbot-dev/rowbot.io",
"path": "/test/sort/binary_insert_comparison.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rowbot-dev/rowbot.io path: /test/sort/binary_insert_comparison.py
import math
import random
import time
d = 10000
array = [i for i in range(d)]
item = random.randint(0, d)
def binary_insert(array, item):
previous = None
search_length = math.floor(len(array) / 2)
index = search_length
... | code_fim | hard | {
"lang": "python",
"repo": "rowbot-dev/rowbot.io",
"path": "/test/sort/binary_insert_comparison.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return dict(
id=str(user.id),
name=user.name,
avatar_url=user.avatar_url,
avatar_thumb=user.avatar_thumb,
num_followers=user.num_followers,
num_followings=user.num_followings,
is_following=current_user.is_following(user) if current_user and curre... | code_fim | medium | {
"lang": "python",
"repo": "FreeGodCode/e-commerce",
"path": "/app/services/json_templ/user.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FreeGodCode/e-commerce path: /app/services/json_templ/user.py
# -*- coding: utf-8 -*-
# @Author: ty
# @File name: user.py
# @IDE: PyCharm
# @Create time: 1/25/21 5:05 PM
# @Description:
from flask_login import current_user
<|fim_suffix|>def get_user_info(user):
"""
:param user:
:r... | code_fim | medium | {
"lang": "python",
"repo": "FreeGodCode/e-commerce",
"path": "/app/services/json_templ/user.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Rinal-Dev02/VoilaCrawler3 path: /src/chameleon/security/identity/service_pb2.py
eon.security.identity.ResetRoleRuleRequest\x1a\x16.google.protobuf.Empty\"N\x82\xd3\xe4\x93\x02)\"\'/security/identity/role/{id}/rule/reset\x82\x82\x87\x03\x1a\x08\x02\x12\x16security.identity.role\x12\xa2\x01\n\nDele... | code_fim | hard | {
"lang": "python",
"repo": "Rinal-Dev02/VoilaCrawler3",
"path": "/src/chameleon/security/identity/service_pb2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Rinal-Dev02/VoilaCrawler3 path: /src/chameleon/security/identity/service_pb2.py
r._internal_create_key,
),
_descriptor.MethodDescriptor(
name='AddRule',
full_name='chameleon.security.identity.RoleManager.AddRule',
index=4,
containing_service=None,
input_type=chameleon_dot_... | code_fim | hard | {
"lang": "python",
"repo": "Rinal-Dev02/VoilaCrawler3",
"path": "/src/chameleon/security/identity/service_pb2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>_ROLEMANAGER = _descriptor.ServiceDescriptor(
name='RoleManager',
full_name='chameleon.security.identity.RoleManager',
file=DESCRIPTOR,
index=0,
serialized_options=None,
create_key=_descriptor._internal_create_key,
serialized_start=262,
serialized_end=1392,
methods=[
_descriptor.Method... | code_fim | medium | {
"lang": "python",
"repo": "Rinal-Dev02/VoilaCrawler3",
"path": "/src/chameleon/security/identity/service_pb2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> sleep(50 / 1000)
print "(False) getting 10 from first: " + str(tokenBuckets.get_from_bucket('first', 10)) + "\n"
print "(False) getting 10 from second: " + str(tokenBuckets.get_from_bucket('second', 10)) + "\n"<|fim_prefix|># repo: link108/code_snippets path: /python/token_buckets/TokenBucket... | code_fim | hard | {
"lang": "python",
"repo": "link108/code_snippets",
"path": "/python/token_buckets/TokenBuckets.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: link108/code_snippets path: /python/token_buckets/TokenBuckets.py
__author__ = 'cmotevasselani'
from time import sleep
from TokenBucket import TokenBucket
class TokenBuckets:
def __init__(self):
<|fim_suffix|> print "bucket has: " + str(self.buckets[bucket_name].token_count)
... | code_fim | hard | {
"lang": "python",
"repo": "link108/code_snippets",
"path": "/python/token_buckets/TokenBuckets.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='product',
name='name',
field=models.CharField(max_length=300),
),
]<|fim_prefix|># repo: jean-charles-gibier/mysandbox path: /pur_beurre/product/migrations/0004_auto_20200806_2336.py
# Generated ... | code_fim | medium | {
"lang": "python",
"repo": "jean-charles-gibier/mysandbox",
"path": "/pur_beurre/product/migrations/0004_auto_20200806_2336.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jean-charles-gibier/mysandbox path: /pur_beurre/product/migrations/0004_auto_20200806_2336.py
# Generated by Django 3.0.8 on 2020-08-06 21:36
<|fim_suffix|>
dependencies = [
('product', '0003_product_nutrition_grade'),
]
operations = [
migrations.AlterField(
... | code_fim | medium | {
"lang": "python",
"repo": "jean-charles-gibier/mysandbox",
"path": "/pur_beurre/product/migrations/0004_auto_20200806_2336.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
('product', '0003_product_nutrition_grade'),
]
operations = [
migrations.AlterField(
model_name='product',
name='name',
field=models.CharField(max_length=300),
),
]<|fim_prefix|># repo: jean-charles-gibier/mysan... | code_fim | medium | {
"lang": "python",
"repo": "jean-charles-gibier/mysandbox",
"path": "/pur_beurre/product/migrations/0004_auto_20200806_2336.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>for alumno in alumnos:
alumno = alumno + " IEST"
print(alumno)
for i in range(10,1001,4):
print (i)<|fim_prefix|># repo: apad20/parcial2 path: /iterables.py
#No es mutable
tupla = ("Hola",7,7.928289,True, ("Tupla",2))
#Acceso a los elementos de una tupla
#print(tupla[4][1])
#Si es mutable
... | code_fim | medium | {
"lang": "python",
"repo": "apad20/parcial2",
"path": "/iterables.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: apad20/parcial2 path: /iterables.py
#No es mutable
tupla = ("Hola",7,7.928289,True, ("Tupla",2))
<|fim_suffix|>#Si es mutable
lista = ["Hola",7,7.928289,True, ["Tupla",2]]
#Acceso a los elementos de una lista
#print(lista[4][1])
alumnos = ("Alejandro", "Ana Abigail", "Andrea", "Karime", "Eric"... | code_fim | easy | {
"lang": "python",
"repo": "apad20/parcial2",
"path": "/iterables.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>alumnos = ("Alejandro", "Ana Abigail", "Andrea", "Karime", "Eric", "Josue")
for alumno in alumnos:
alumno = alumno + " IEST"
print(alumno)
for i in range(10,1001,4):
print (i)<|fim_prefix|># repo: apad20/parcial2 path: /iterables.py
#No es mutable
tupla = ("Hola",7,7.928289,True, ("Tupla",2... | code_fim | easy | {
"lang": "python",
"repo": "apad20/parcial2",
"path": "/iterables.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: twaun95/Algorithm path: /다이나믹프로그래밍/1로만들기.py
x = int(input())
dp = [0]*30001
<|fim_suffix|>for i in range(2,x+1):
dp[i] = dp[i-1] + 1
if i%2 == 0:
dp[i] = min(dp[i],dp[i//2]+1)
if i%3 == 0:
dp[i] = min(dp[i],dp[i//3]+1)
if i%5 == 0:
dp[i] = min(dp[i],dp[i/... | code_fim | easy | {
"lang": "python",
"repo": "twaun95/Algorithm",
"path": "/다이나믹프로그래밍/1로만들기.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>for i in range(2,x+1):
dp[i] = dp[i-1] + 1
if i%2 == 0:
dp[i] = min(dp[i],dp[i//2]+1)
if i%3 == 0:
dp[i] = min(dp[i],dp[i//3]+1)
if i%5 == 0:
dp[i] = min(dp[i],dp[i//5]+1)
print(dp[x])<|fim_prefix|># repo: twaun95/Algorithm path: /다이나믹프로그래밍/1로만들기.py
x = int(i... | code_fim | easy | {
"lang": "python",
"repo": "twaun95/Algorithm",
"path": "/다이나믹프로그래밍/1로만들기.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> list_of_names = [str(c) for c in self.__list_of_contacts]
joined_names = ', '.join(list_of_names)
table = [[str(self._title)],["Date: "+str(self._date)],["Time: "+str(self._start)+" - "+str(self._end)],["Participants: "+str(joined_names)]]
print(tabulate(table, tablefmt='gr... | code_fim | medium | {
"lang": "python",
"repo": "sarwar1995/calendarCLI",
"path": "/Meeting.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sarwar1995/calendarCLI path: /Meeting.py
#Sarwar Hussain
from tabulate import tabulate
from Event import Event
from Contact import Contact
class Meeting (Event):
def __init__(self, title='default event', date='01-01-2020', start_time='00:00', end_time='24:00', list_of_contacts=None):
<|fim_s... | code_fim | hard | {
"lang": "python",
"repo": "sarwar1995/calendarCLI",
"path": "/Meeting.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
('send', '0004_data_jid'),
]
operations = [
migrations.AlterField(
model_name='data',
name='jid',
field=models.CharField(default=0, max_length=20),
),
]<|fim_prefix|># repo: AakashKhatu/Road-Comfort-Level path:... | code_fim | medium | {
"lang": "python",
"repo": "AakashKhatu/Road-Comfort-Level",
"path": "/here/send/migrations/0005_auto_20190727_2145.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AakashKhatu/Road-Comfort-Level path: /here/send/migrations/0005_auto_20190727_2145.py
# Generated by Django 2.1.7 on 2019-07-27 16:15
from django.db import migrations, models
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='data',
name='jid',
... | code_fim | medium | {
"lang": "python",
"repo": "AakashKhatu/Road-Comfort-Level",
"path": "/here/send/migrations/0005_auto_20190727_2145.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Phlix1/tensorflow-communication-analysis path: /opMgr.py
from op import op
import re
import pickle
import Constants
from utils import *
import os
class opMgr:
def __init__(self):
self.op_dict = {}
def add_from_graph(self, graph_def):
comm_node_index = 0
for node in... | code_fim | hard | {
"lang": "python",
"repo": "Phlix1/tensorflow-communication-analysis",
"path": "/opMgr.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> with open(save_path,'rb') as f:
save_list = pickle.load(f)
for opinfo in save_list:
opitem = op()
opitem.deserialize_op(opinfo)
self.op_dict[opitem.op_name] = opitem
def ops_show(self):
count = 0
for key in self.op_di... | code_fim | hard | {
"lang": "python",
"repo": "Phlix1/tensorflow-communication-analysis",
"path": "/opMgr.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
vpp_data = read_vpp_file(sys.argv[1])
#time = [x['time'] for x in vpp_data]
vec_rtt = get_time_series(vpp_data, 'vec')
single_ts_rtt = get_time_series(vpp_data, 'single_ts')
all_ts_rtt = get_time_series(vpp_data, 'all_ts')
#print(vec_rtt)
##
##... | code_fim | hard | {
"lang": "python",
"repo": "mami-project/three-bits-suffice",
"path": "/tcp/scripts/analyze_vpp.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mami-project/three-bits-suffice path: /tcp/scripts/analyze_vpp.py
#!/usr/bin/python3
import sys
import csv
import math
import collections
import pickle
import copy
import functools
import os
import os.path
import shutil
import matplotlib.pyplot as plt
def save_figure(figure, filename):
pri... | code_fim | hard | {
"lang": "python",
"repo": "mami-project/three-bits-suffice",
"path": "/tcp/scripts/analyze_vpp.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> errors = list()
times = list()
time_cursor = None
current_error = None
A_ready = False
B_ready = False
for row in vpp_data:
## skip forward to point where there is
## data for both analyzers
if (not A_ready) or (not B_ready):
if row[analyze... | code_fim | hard | {
"lang": "python",
"repo": "mami-project/three-bits-suffice",
"path": "/tcp/scripts/analyze_vpp.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def getfactors(num):
factors = []
fac = 2
while num > 1:
if fac > 3:
if (fac + 1) % 6 == 0 or (fac - 1) % 6 == 0:
while num % fac == 0:
factors.append(fac)
num /= fac
else:
while num % fac == 0:
... | code_fim | hard | {
"lang": "python",
"repo": "mathewspmani/projectEuler",
"path": "/03largestPrimeFactor.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mathewspmani/projectEuler path: /03largestPrimeFactor.py
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 24 10:56:28 2018
@author: mathewspmani
"""
<|fim_suffix|> factors = []
fac = 2
while num > 1:
while num % fac == 0:
factors.append(fac)
num /= fac
... | code_fim | medium | {
"lang": "python",
"repo": "mathewspmani/projectEuler",
"path": "/03largestPrimeFactor.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hpcgam/dicomimport path: /doc-dcm/SAMPLEZ/albertca-NanScan-cd0decd/NanScan/TemporaryFile.py
import tempfile
import os
## @brief Simplify the task of creating and managing temporary files in a
# secure manner.
#
# Although python already provides functions for creating temporary files
# in nans... | code_fim | hard | {
"lang": "python",
"repo": "hpcgam/dicomimport",
"path": "/doc-dcm/SAMPLEZ/albertca-NanScan-cd0decd/NanScan/TemporaryFile.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if TemporaryFile.directory:
shutils.rmtree( TemporaryFile.directory )
## @brief Remove the given file
@staticmethod
def remove(path):
os.unlink(path)<|fim_prefix|># repo: hpcgam/dicomimport path: /doc-dcm/SAMPLEZ/albertca-NanScan-cd0decd/NanScan/TemporaryFile.py
import tempfile
import os
## @... | code_fim | medium | {
"lang": "python",
"repo": "hpcgam/dicomimport",
"path": "/doc-dcm/SAMPLEZ/albertca-NanScan-cd0decd/NanScan/TemporaryFile.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>router = routers.DefaultRouter(trailing_slash=False)
router.register(r'tasks', TaskView, base_name='tasks')
router.register(r'sessions', SessionView, base_name='sessions')
urlpatterns = router.urls<|fim_prefix|># repo: TannerBurns/factory path: /factory/urls.py
from django.conf.urls import url
from djang... | code_fim | easy | {
"lang": "python",
"repo": "TannerBurns/factory",
"path": "/factory/urls.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TannerBurns/factory path: /factory/urls.py
from django.conf.urls import url
from django.urls import path
<|fim_suffix|>router = routers.DefaultRouter(trailing_slash=False)
router.register(r'tasks', TaskView, base_name='tasks')
router.register(r'sessions', SessionView, base_name='sessions')
urlpa... | code_fim | medium | {
"lang": "python",
"repo": "TannerBurns/factory",
"path": "/factory/urls.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pgv123/Pi-Python-Controller path: /scoreboard.py
#scoreboard
#AusSport user defined functions
import os
import json
import datetime
from time import time, ctime, sleep
import pigpio as GPIO
import s_data
from array import array
#import pygame
#from pygame.mixer import Sound, get_init, pre_init
... | code_fim | hard | {
"lang": "python",
"repo": "pgv123/Pi-Python-Controller",
"path": "/scoreboard.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> i2c_settings = s1['i2c']['port_settings']
offset = s1['i2c']['offset']
colreg = s1['i2c']['col_reg']
for k,v in i2c_settings.items():
this_port = s_data.get_i2c_port(s1,k)
#send all the values for this port
for k, v in this_port.items():
p_val = v['i2c_port']
chan = i2c_settings[p_val]['ch... | code_fim | hard | {
"lang": "python",
"repo": "pgv123/Pi-Python-Controller",
"path": "/scoreboard.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> #logging.debug("sending message %s" %msg)
cls.lock.acquire()
try:
for conn in cls.connections:
try:
conn.write_message(msg)
except:
logging.error("Error sending message",exc_info=True)
finally:
cls.... | code_fim | hard | {
"lang": "python",
"repo": "y12studio/pi",
"path": "/testonly/motion_pushover/motion_pushover.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def isMotion4(kl):
return len(kl)==4 and kl[1]-kl[0] > 777 and kl[2] > 1000 and kl[3] > 1000
def handleMotion(k,q):
if isMotion4(k):
ediff = time.time() - lastEvtTime
logging.debug("EvtTimeDiff=%d" % ediff)
if ediff > 300:
found(q)
def startTornado():
http... | code_fim | hard | {
"lang": "python",
"repo": "y12studio/pi",
"path": "/testonly/motion_pushover/motion_pushover.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: y12studio/pi path: /testonly/motion_pushover/motion_pushover.py
# coding=utf-8
'''
pi@raspberrypi ~ $ echo $LANG
zh_TW.UTF-8
https://github.com/ashtons/picam
url http://host:port/s/foo_webapp.html
'''
import settings
import picam
import logging,threading
import datetime,time
import Image
import... | code_fim | hard | {
"lang": "python",
"repo": "y12studio/pi",
"path": "/testonly/motion_pushover/motion_pushover.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vanstrn/Robot path: /launch/launch_controller.py
import os
import sys
from typing import cast
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..')) # noqa
import launch
from launch.actions import IncludeLaunchDescription, ExecuteProcess
from launch.launch_description_sources import ... | code_fim | hard | {
"lang": "python",
"repo": "vanstrn/Robot",
"path": "/launch/launch_controller.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Disable tty emulation (on by default).
ld.add_action(launch.actions.SetLaunchConfiguration('emulate_tty', 'false'))
# Wire up stdout from processes
def on_output(event: launch.Event) -> None:
for line in event.text.decode().splitlines():
print('[{}] {}'.format(
... | code_fim | medium | {
"lang": "python",
"repo": "vanstrn/Robot",
"path": "/launch/launch_controller.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return response
async def loop(self):
# tasks will contain asynchronous tasks to be executed at once, asynchronously
# in this case, they will contain the requests to the endpoints
pages = [] # type: List[Page]
tasks = [] # List[Coroutine]
# create a ... | code_fim | hard | {
"lang": "python",
"repo": "berton7/kek-monitors",
"path": "/demo/footdistrict_scraper.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: berton7/kek-monitors path: /demo/footdistrict_scraper.py
import asyncio
from typing import List
from bs4 import BeautifulSoup
from fake_headers import Headers
from pyppeteer import launch
from pyppeteer.network_manager import Response
from pyppeteer.page import Page
from kekmonitors.base_scrape... | code_fim | hard | {
"lang": "python",
"repo": "berton7/kek-monitors",
"path": "/demo/footdistrict_scraper.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>{:<12} {:<12} {:<12} {:<12}".format(*my_var))<|fim_prefix|># repo: suchitrarajagopalan/pynet_test path: /str_ex2.py
#!/usr/bin/env python
from __future__ import print_function
my_var = input("enter an IP <|fim_middle|>address")
my_var = my_var.split(".")
print(" | code_fim | easy | {
"lang": "python",
"repo": "suchitrarajagopalan/pynet_test",
"path": "/str_ex2.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: suchitrarajagopalan/pynet_test path: /str_ex2.py
#!/usr/bin/env python
from __future__ import<|fim_suffix|>address")
my_var = my_var.split(".")
print("{:<12} {:<12} {:<12} {:<12}".format(*my_var))<|fim_middle|> print_function
my_var = input("enter an IP | code_fim | easy | {
"lang": "python",
"repo": "suchitrarajagopalan/pynet_test",
"path": "/str_ex2.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gustavo-momente/text_classifcation path: /Features.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import datetime
__author__ = 'Usuário'
import gensim.matutils
import numpy as np
from Parser import *
from Filter import *
from Cleaner import *
from Learners import *
from stopwords import *
im... | code_fim | hard | {
"lang": "python",
"repo": "gustavo-momente/text_classifcation",
"path": "/Features.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> print "Getting features..."
tf_idfer = SklearnTfIdf(cbow_corpus, idf=False, only_presence=False, norm=normalization)
X = tf_idfer.get_features()
print no_below, no_above, X.shape[-1]
... | code_fim | hard | {
"lang": "python",
"repo": "gustavo-momente/text_classifcation",
"path": "/Features.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zachgoins/PropaGator path: /control/path_planner/src/buoy_navigation.py
#!/usr/bin/env python
import roslib
roslib.load_manifest('path_planner')
import rospy
import actionlib
from uf_common.msg import MoveToAction, MoveToGoal
from visualization_msgs.msg import Marker,MarkerArray
from nav_msgs.m... | code_fim | hard | {
"lang": "python",
"repo": "zachgoins/PropaGator",
"path": "/control/path_planner/src/buoy_navigation.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def send_waypoint_wait(point,orientation):
waypoint.send_goal_and_wait(current_pose_editor.relative(numpy.array([point[0], point[1], 0])).as_MoveToGoal(speed = .2))
def send_waypoint(point,orientation):
waypoint.send_goal(current_pose_editor.relative(numpy.array([point[0], point[1], 0])).as_MoveT... | code_fim | hard | {
"lang": "python",
"repo": "zachgoins/PropaGator",
"path": "/control/path_planner/src/buoy_navigation.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> global current_position,current_pose_editor
current_pose_editor = PoseEditor.from_Odometry(msg)
current_position = (msg.pose.pose.position.x,msg.pose.pose.position.y)
rospy.Subscriber('/odom', Odometry, pose_callback)
def ecef_callback(msg):
global ecef_position
ecef_position = [msg.p... | code_fim | hard | {
"lang": "python",
"repo": "zachgoins/PropaGator",
"path": "/control/path_planner/src/buoy_navigation.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> for r in range(1, 127): # exclude first and last row
for c in range(8):
cid = r * 8 + c
# find id missing
if cid + 1 in allid and cid - 1 in allid and cid not in allid:
return cid
print(solve(lines))<|fim_prefix|># repo: pickdani/aoc2020-pyt... | code_fim | hard | {
"lang": "python",
"repo": "pickdani/aoc2020-python",
"path": "/5/b.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pickdani/aoc2020-python path: /5/b.py
lines = [x.strip() for x in open('input').read().splitlines()]
def solve(lines):
ids = {} # map (r,c) to id
for line in lines:
# find row
lo = 0
hi = 127
for c in line[:7]:
m = (lo + hi) // 2
... | code_fim | hard | {
"lang": "python",
"repo": "pickdani/aoc2020-python",
"path": "/5/b.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # updating the roots array using index
for num in range(n+1):
self.find(num)
ans = []
for a, b in queries:
ans.append(self.roots[a] == self.roots[b])
return ans
def find(self,x):
if self.roots[x] == x:
retur... | code_fim | hard | {
"lang": "python",
"repo": "akimi-yano/algorithm-practice",
"path": "/lc/1627.GraphConnectivityWithThreshol.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: akimi-yano/algorithm-practice path: /lc/1627.GraphConnectivityWithThreshol.py
# 1627. Graph Connectivity With Threshold
# Hard
# 57
# 9
# Add to List
# Share
# We have n cities labeled from 1 to n. Two different cities with labels x and y are directly connected by a bidirectional road if and ... | code_fim | hard | {
"lang": "python",
"repo": "akimi-yano/algorithm-practice",
"path": "/lc/1627.GraphConnectivityWithThreshol.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DavidCarricondo/Diamond-prices-ML-Kaggle-competition path: /src/Cleaning_functions.py
import pandas as pd
import numpy as np
from scipy import stats
from sklearn.preprocessing import StandardScaler
def categorize(df, columns, values,remove=True, ordered=True):
<|fim_suffix|> '''
Convert ... | code_fim | hard | {
"lang": "python",
"repo": "DavidCarricondo/Diamond-prices-ML-Kaggle-competition",
"path": "/src/Cleaning_functions.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> scaler = StandardScaler()
scale_feat = scaler.fit_transform(df[columns])
new_df = pd.DataFrame(scale_feat, columns=[c+'_st' for c in columns])
if remove:
df.drop(columns, axis=1, inplace=True)
return pd.concat([df, new_df], axis=1, sort=False)<|fim_prefix|># repo: DavidCarricon... | code_fim | hard | {
"lang": "python",
"repo": "DavidCarricondo/Diamond-prices-ML-Kaggle-competition",
"path": "/src/Cleaning_functions.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: QuixoteSystems/py-cardano-explorer path: /tests/test_cnft_io.py
#!/usr/bin/env python
import os
import unittest
import pandas as pd
from cardano_explorer import blockfrost_api
from cardano_explorer.blockfrost import util
from cardano_explorer import cnft_io
# Check if the Blockfrost API Key is ... | code_fim | medium | {
"lang": "python",
"repo": "QuixoteSystems/py-cardano-explorer",
"path": "/tests/test_cnft_io.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_policy(self):
self.assertTrue(isinstance(cnft_io.verified_policies(), list))
self.assertTrue(isinstance(cnft_io.get_policy_id('Clay Nation by Clay Mates'), list))
self.assertTrue(cnft_io.check_policy_id(policy_id, 'Clay Nation by Clay Mates'), list)
self.assert... | code_fim | medium | {
"lang": "python",
"repo": "QuixoteSystems/py-cardano-explorer",
"path": "/tests/test_cnft_io.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if getattr(renderable, 'alert', ''):
fmtmap['alert'] = renderable.alert
else:
fmtmap['alert'] = "; ".join(extras['errors'][renderable.bind])
else:
fmtmap['alert'] = ''
if "extra_classes" in fmtmap:
fmtmap['e... | code_fim | hard | {
"lang": "python",
"repo": "wyldebeast-wunderliebe/w20e.forms",
"path": "/w20e/forms/rendering/baserenderer.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if "extra_classes" in fmtmap:
fmtmap['extra_classes'] = " ".join([fmtmap['extra_classes']] + \
[key for key in
list(extra_classes.keys())
if ex... | code_fim | hard | {
"lang": "python",
"repo": "wyldebeast-wunderliebe/w20e.forms",
"path": "/w20e/forms/rendering/baserenderer.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wyldebeast-wunderliebe/w20e.forms path: /w20e/forms/rendering/baserenderer.py
from builtins import str
from builtins import object
import re
from w20e.forms.registry import Registry
# Expression for variable subsitution in labels and hints
VAREXP = re.compile('\$\{[^\}]+\}')
def cache(func):
... | code_fim | hard | {
"lang": "python",
"repo": "wyldebeast-wunderliebe/w20e.forms",
"path": "/w20e/forms/rendering/baserenderer.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 21eleven/leetcode-solutions path: /python/0022_generate_parentheses/bottomup.py
"""
22. Generate Parentheses
Medium
Given n pairs of parentheses, write a function to generate all combinations of well-formed parentheses.
Example 1:
Input: n = 3
Output: ["((()))","(()())","(())()","()(())","(... | code_fim | hard | {
"lang": "python",
"repo": "21eleven/leetcode-solutions",
"path": "/python/0022_generate_parentheses/bottomup.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> chk = 0
for c in s:
if c == ")":
chk -= 1
else:
chk += 1
if chk < 0:
return False
if chk == 0:
return True
else:
retu... | code_fim | hard | {
"lang": "python",
"repo": "21eleven/leetcode-solutions",
"path": "/python/0022_generate_parentheses/bottomup.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> max_size = max(max_size, dp_matrix[i][j])
return max_size
size,contour = openfile("contour.txt")
n = findsize(contour,size)
print("file loaded!")
print("Luas maksimum Krasti Krab yang dapat dibangun adalah", n*n)<|fim_prefix|># repo: prisilamichelle/Seleksi-1-Asisten-LabPro-2018 path: /... | code_fim | hard | {
"lang": "python",
"repo": "prisilamichelle/Seleksi-1-Asisten-LabPro-2018",
"path": "/src/5-Problem12.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: prisilamichelle/Seleksi-1-Asisten-LabPro-2018 path: /src/5-Problem12.py
#Prisila Michelle - 13516129
import sys,os
def openfile(filename): #fungsi untuk membaca file
with open(os.path.join(sys.path[0], filename), 'r') as file:
size = int(file.readline())
matrix = []
for i in rang... | code_fim | medium | {
"lang": "python",
"repo": "prisilamichelle/Seleksi-1-Asisten-LabPro-2018",
"path": "/src/5-Problem12.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cyrilvincent/DL path: /data/humanactivity/04_activity_lstm.py
import numpy as np
import pandas as pd
import sklearn
import sklearn.preprocessing
import scipy
import tensorflow.keras as keras
df = pd.read_csv('WISDM_clean.csv')
df_train = df[df['user_id'] <= 30]
df_test = df[df['user_id'] > 30]
... | code_fim | hard | {
"lang": "python",
"repo": "cyrilvincent/DL",
"path": "/data/humanactivity/04_activity_lstm.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>enc = enc.fit(y_train)
y_train = enc.transform(y_train)
y_test = enc.transform(y_test)
model = keras.Sequential()
model.add(
keras.layers.Bidirectional(
keras.layers.LSTM(
units=128,
input_shape=[X_train.shape[1], X_train.shape[2]]
)
)
)
model.add(keras.layers.Dro... | code_fim | hard | {
"lang": "python",
"repo": "cyrilvincent/DL",
"path": "/data/humanactivity/04_activity_lstm.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bulmasen/learn-to-program path: /GB_LearnProgramming/Python_Programming/lesson-03/homeWork-lesson03-6.py
# Реализовать функцию str_cap(), принимающую слово из маленьких латинских букв и возвращающую его же, но с прописной
# первой буквой. Например, print(str_cap(‘text’)) -> Text.
# Продолжить раб... | code_fim | hard | {
"lang": "python",
"repo": "bulmasen/learn-to-program",
"path": "/GB_LearnProgramming/Python_Programming/lesson-03/homeWork-lesson03-6.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.