text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: raven-97/glucose-prediction path: /linear_regr_prediction.py
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn import linear_model
from sklearn.metrics import mean_squared_error
#%% LOAD DATA
# Read the data files.
ys1 = np.genfromtxt(fname='data/ys.csv', delimi... | code_fim | medium | {
"lang": "python",
"repo": "raven-97/glucose-prediction",
"path": "/linear_regr_prediction.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: naweel1496/PersonalBlog path: /blog/views.py
from django.shortcuts import render
from django.utils import timezone
from .models import Post
from django.views.generic import TemplateView
<|fim_suffix|> def get(self, request, *args, **kwargs):
return render(request, 'blog/post_list.h... | code_fim | easy | {
"lang": "python",
"repo": "naweel1496/PersonalBlog",
"path": "/blog/views.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get(self, request, *args, **kwargs):
return render(request, 'blog/post_list.html', context=None)
class Aboutme(TemplateView):
template_name = "blog/about.html"
class MyBlog(TemplateView):
template_name = "blog/blog.html"<|fim_prefix|># repo: naweel1496/PersonalBlog path: /blog/v... | code_fim | easy | {
"lang": "python",
"repo": "naweel1496/PersonalBlog",
"path": "/blog/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def allow_relation(self, obj1, obj2, **hints):
"""
Allow relations if a model in the auth app is involved.
"""
return True
def allow_migrate(self, db, app_label, model_name=None, **hints):
"""
Make sure the auth app only appears in the 'auth_db'
... | code_fim | medium | {
"lang": "python",
"repo": "sterenczak-marek/awesomegame-common",
"path": "/awesome_db_router/router.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Allow relations if a model in the auth app is involved.
"""
return True
def allow_migrate(self, db, app_label, model_name=None, **hints):
"""
Make sure the auth app only appears in the 'auth_db'
database.
"""
if app_label in ... | code_fim | medium | {
"lang": "python",
"repo": "sterenczak-marek/awesomegame-common",
"path": "/awesome_db_router/router.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sterenczak-marek/awesomegame-common path: /awesome_db_router/router.py
class AwesomeGameRouter(object):
def db_for_read(self, model, **hints):
if model._meta.app_label in ['awesome_users', 'awesome_rooms']:
return 'common'
return 'default'
def db_for_write(sel... | code_fim | medium | {
"lang": "python",
"repo": "sterenczak-marek/awesomegame-common",
"path": "/awesome_db_router/router.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> print(df[['item_name', 'item_price']][df.quantity==1])
def create(df):
mx = int(df['item_price'].max())
l = list(df['item_price'])
t = []
r = []
for y in range(0, mx, 3):
r.append(y)
cur = 0
for x in range(len(l)):
if l[x] >= float(y) and l[x] ... | code_fim | medium | {
"lang": "python",
"repo": "uran001/Small_Projects",
"path": "/Pandas_Analysis/chipotle.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: uran001/Small_Projects path: /Pandas_Analysis/chipotle.py
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import time
def imprt(in_file):
df = pd.read_csv(in_file, sep='\t')
print(df)
return df
def price_to_foat(l):
for x in range(len(l)):
l[x] ... | code_fim | medium | {
"lang": "python",
"repo": "uran001/Small_Projects",
"path": "/Pandas_Analysis/chipotle.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> for x in range(len(l)):
l[x] = float(l[x][1:])
return l
def filt(df, price):
print(df[df.item_price > price])
def filt_name(df):
print(df[['item_name', 'item_price']][df.quantity==1])
def create(df):
mx = int(df['item_price'].max())
l = list(df['item_price'])
t = []... | code_fim | medium | {
"lang": "python",
"repo": "uran001/Small_Projects",
"path": "/Pandas_Analysis/chipotle.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>rintln("Hello your name")
println("Hello git")<|fim_prefix|># repo: na0sung/command_hello path: /hello.py
// comment in local
// comment add
// add comment in github
>>>>>>> origin/master
println("<|fim_middle|>Hello World")
println("Hellp Na Young sung")
p | code_fim | easy | {
"lang": "python",
"repo": "na0sung/command_hello",
"path": "/hello.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: na0sung/command_hello path: /hello.py
// comment in local
// comment add
// add comm<|fim_suffix|>Hello World")
println("Hellp Na Young sung")
println("Hello your name")
println("Hello git")<|fim_middle|>ent in github
>>>>>>> origin/master
println(" | code_fim | easy | {
"lang": "python",
"repo": "na0sung/command_hello",
"path": "/hello.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: daphnevandijk/masterthesis path: /models/LR occupation (subset data).py
#!/usr/bin/env python
# coding: utf-8
# In[1]:
# Import the required libraries
import pandas as pd
import numpy as np
from scipy import stats
from sklearn.metrics import accuracy_score, classification_report, confusion_mat... | code_fim | hard | {
"lang": "python",
"repo": "daphnevandijk/masterthesis",
"path": "/models/LR occupation (subset data).py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# In[10]:
# Implementing GridSearchCV
GS = GridSearchCV(lr, parameters, cv = cv, verbose = 1, n_jobs = -1)
GS.fit(X_train, y_train) # Fitting on training data
# In[11]:
print(GS.best_estimator_) # Estimator that was chosen by the search (which gave highest score)
print(GS.best_score_) # Mean cross... | code_fim | hard | {
"lang": "python",
"repo": "daphnevandijk/masterthesis",
"path": "/models/LR occupation (subset data).py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DaleEMoore/Kivy-Datagrid-plugin path: /kivy-fade-in-example.py
#!/usr/bin/env python2
# From: http://codegist.net/search/kivy-datagrid/2
'''
Under WTFPL - http://www.wtfpl.net
'''
import kivy
kivy.require('1.0.7')
from kivy.app import App
from kivy.uix.button import Button
from kivy.uix.label... | code_fim | hard | {
"lang": "python",
"repo": "DaleEMoore/Kivy-Datagrid-plugin",
"path": "/kivy-fade-in-example.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.main_grid = GridLayout(rows=2, cols=1, padding=50)
print("Needs ./Aliquam.ttf")
self.main_label = lightLabel(text='Text example test', color=[1, 1, 1, 0.0],
font_name='./Aliquam.ttf', font_size='30px')
self.main_button = lightButton... | code_fim | hard | {
"lang": "python",
"repo": "DaleEMoore/Kivy-Datagrid-plugin",
"path": "/kivy-fade-in-example.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fendouai/ikdb path: /ikdbtest_gl.py
#Python 2/3 compatibility
from __future__ import print_function,division,absolute_import
from builtins import input,range
from six import iteritems
from ikdb import *
from ikdb import functionfactory
from klampt import *
import pkg_resources
if pkg_resources.g... | code_fim | hard | {
"lang": "python",
"repo": "fendouai/ikdb",
"path": "/ikdbtest_gl.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def click_world(self,x,y):
"""Helper: returns (obj,pt) where obj is the closest world object
clicked, and pt is the associated clicked point (in world coordinates).
If no point is clicked, returns None."""
#get the viewport ray
if NEW_KLAMPT:
(s,d) ... | code_fim | hard | {
"lang": "python",
"repo": "fendouai/ikdb",
"path": "/ikdbtest_gl.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> dragging = False
if NEW_KLAMPT:
retval = GLWidgetProgram.motionfunc(self,x,y,dx,dy)
dragging = self.widgetPlugin.klamptwidgetdragging
else:
retval = GLWidgetProgram.motionfunc(self,x,y)
dragging = self.draggingWidget
if draggi... | code_fim | hard | {
"lang": "python",
"repo": "fendouai/ikdb",
"path": "/ikdbtest_gl.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: domfarradj/project-1-domfarradj-main path: /project-1-domfarradj-main/skater.py
#Project 1
#
#Name: Dominic Farradj
#Instructor: Workman
#Section: 03
from funcs import *
def main():
pounds=int(input('How much do you weigh (pounds)? '))
distance=float(input('How far away is your profes... | code_fim | hard | {
"lang": "python",
"repo": "domfarradj/project-1-domfarradj-main",
"path": "/project-1-domfarradj-main/skater.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if veloSkater >= 0.2 and veloSkater < 1.0:
return veloSkater
if veloSkater>= 1.0:
print("Look out for that railing!!!")
if __name__ == '__main__':
main()<|fim_prefix|># repo: domfarradj/project-1-domfarradj-main path: /project-1-domfarradj-main/skater.py
#Project 1
#
... | code_fim | hard | {
"lang": "python",
"repo": "domfarradj/project-1-domfarradj-main",
"path": "/project-1-domfarradj-main/skater.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> velObject=getVelocityObject(distance)
veloSkater = getVelocitySkater(weight,mass,velObject)
veloSkater=round(veloSkater, 3)
print('Velocity of skater:', veloSkater, 'm/s')
if veloSkater < 0.2:
print("My grandmother skates faster than you!")
if veloSkater >= 0.2 and veloSkater < 1.0:... | code_fim | hard | {
"lang": "python",
"repo": "domfarradj/project-1-domfarradj-main",
"path": "/project-1-domfarradj-main/skater.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class UserAssets(MethodView):
def get(self):
pass
def post(self):
pass
class AssetRequest(MethodView):
def get(self):
pass
def post(self):
pass
class Asset(MethodView):
def get(self):
pass
def post(self):
pass
class Engag... | code_fim | hard | {
"lang": "python",
"repo": "MetisProtocol/Metis-MVP",
"path": "/metis/API/view.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MetisProtocol/Metis-MVP path: /metis/API/view.py
# _*_ coding: utf-8 _*_
"""
@author: E.T
@file: api.py
@time: 2020/5/27 2:47 下午
@desc:
"""
from . import impl
from flask import request, Blueprint
from flask.views import MethodView
from metis.utils.helpers import api_stand_response, register_view... | code_fim | hard | {
"lang": "python",
"repo": "MetisProtocol/Metis-MVP",
"path": "/metis/API/view.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
class StakeTerminate(MethodView):
def get(self):
pass
def post(self):
pass
class StakeWithdraw(MethodView):
def get(self):
pass
def post(self):
pass
class StakeDispute(MethodView):
def get(self):
pass
def post(self):
... | code_fim | hard | {
"lang": "python",
"repo": "MetisProtocol/Metis-MVP",
"path": "/metis/API/view.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Nerd911/University path: /Sztuczna_Inteligencja/Lista3/zad5.py
import sys
def V(i,j):
return 'V%d_%d' % (i,j)
def domains(Vs):
return [ q + ' in 1..9' for q in Vs ]
def all_different(Qs):
return 'all_distinct([' + ', '.join(Qs) + '])'
def get_column(j):
return [V(i,j) for i i... | code_fim | medium | {
"lang": "python",
"repo": "Nerd911/University",
"path": "/Sztuczna_Inteligencja/Lista3/zad5.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
cs = domains(variables) + vertical() + horizontal() + area()
for i,j,val in assigments:
cs.append( '%s #= %d' % (V(i,j), val) )
print_constraints(cs, 4, 70),
print
print ' labeling([ff], [' + ', '.join(variables) + ']).'
print
print ":- tell('prolog_result.txt'), ... | code_fim | medium | {
"lang": "python",
"repo": "Nerd911/University",
"path": "/Sztuczna_Inteligencja/Lista3/zad5.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: idmakers/YOLOV3_MOT15 path: /video_result.py
# coding: utf-8
from __future__ import division, print_function
import tensorflow as tf
import numpy as np
import argparse
import cv2
import time
import os
from utils.misc_utils import parse_anchors, read_class_names
from utils.nms_utils... | code_fim | hard | {
"lang": "python",
"repo": "idmakers/YOLOV3_MOT15",
"path": "/video_result.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> saver = tf.train.Saver()
saver.restore(sess, args.restore_path)
#fp = open("filename.txt", "w")
for frame in range((video_frame_cnt)):
ret, img_ori = vid.read()
if args.letterbox_resize:
img, resize_r... | code_fim | hard | {
"lang": "python",
"repo": "idmakers/YOLOV3_MOT15",
"path": "/video_result.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PanTomRastr/103_PANKRATOV path: /hw5/task1/klava.py
from klava_logic import simulator
your_bag = 11
time_one = 17
time = 90
simuls = 1000
resu<|fim_suffix|> = simulator(time_one, time, your_bag)
result += result_s
if result_s == "S":
chance_K += 1
print(result + '\n',... | code_fim | medium | {
"lang": "python",
"repo": "PanTomRastr/103_PANKRATOV",
"path": "/hw5/task1/klava.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>ance_K += 1
print(result + '\n', 'Вероятность встретить Константина: ',
(chance_K / simuls))<|fim_prefix|># repo: PanTomRastr/103_PANKRATOV path: /hw5/task1/klava.py
from klava_logic import simulator
your_bag = 11
time_one = 17
time = 90
simuls = 1000
result = ''
chance_K = 0
result_s ... | code_fim | medium | {
"lang": "python",
"repo": "PanTomRastr/103_PANKRATOV",
"path": "/hw5/task1/klava.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>conn3= mysql.connector.connect(host='localhost',username='Your Username',password='Your Password',database='new_database')
myc2=conn3.cursor()
query3='SELECT * FROM Students'
myc2.execute(query3)
print(myc2.fetchall())
# for i in myc2:
# print(i)
conn3.commit()
conn3.close()<|fim_prefix|># rep... | code_fim | hard | {
"lang": "python",
"repo": "akshat12000/Python-Run-And-Learn-Series",
"path": "/Codes/188) database_connectivity.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: akshat12000/Python-Run-And-Learn-Series path: /Codes/188) database_connectivity.py
import mysql.connector
conn= mysql.connector.connect(host='localhost',username='Your Username',password='Your Password')
print(conn) # this is the object of the connector
my_cursor=conn.cursor() # this wil... | code_fim | hard | {
"lang": "python",
"repo": "akshat12000/Python-Run-And-Learn-Series",
"path": "/Codes/188) database_connectivity.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: parthth/helpMe path: /helpMe/admin.py
from django.contrib import admin
from hel<|fim_suffix|>er(User)
admin.site.register(User_profile)<|fim_middle|>pMe.models import User,User_profile
# Register your models here.
admin.site.regist | code_fim | medium | {
"lang": "python",
"repo": "parthth/helpMe",
"path": "/helpMe/admin.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>ister your models here.
admin.site.register(User)
admin.site.register(User_profile)<|fim_prefix|># repo: parthth/helpMe path: /helpMe/admin.py
from django.contrib import admin
from hel<|fim_middle|>pMe.models import User,User_profile
# Reg | code_fim | easy | {
"lang": "python",
"repo": "parthth/helpMe",
"path": "/helpMe/admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """ provides for the inclusion of setting variables within a template. """
return getattr(settings, name, "")<|fim_prefix|># repo: MiddleFork/django_backstage path: /backstage/templatetags/settings_tags.py
"""
settings_tags.py
This file provides a simple Django Templatetag
to expose the app's set... | code_fim | medium | {
"lang": "python",
"repo": "MiddleFork/django_backstage",
"path": "/backstage/templatetags/settings_tags.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MiddleFork/django_backstage path: /backstage/templatetags/settings_tags.py
"""
settings_tags.py
This file provides a simple Django Templatetag
to expose the app's settings values in the HTML
template environment. Settings are stored as 'csettings'
to avoid a name conflict
and accesses as {{ cse... | code_fim | medium | {
"lang": "python",
"repo": "MiddleFork/django_backstage",
"path": "/backstage/templatetags/settings_tags.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JohnArneOye/it3708-subsym3 path: /izhikevich_neuron.py
from Individual import Individual
import random
import data_loader
class Izzy(Individual):
nr_of_bits = 66
t = 10.0
I = 10.0
threshold = 35
def __init__(self, genotype=None):
if genotype is None:
... | code_fim | hard | {
"lang": "python",
"repo": "JohnArneOye/it3708-subsym3",
"path": "/izhikevich_neuron.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> genotypes = (self.num_to_bitstring(self.genotype), self.num_to_bitstring(other.genotype))
new_genotype = []
index = 0
for individual, n_genes in splits:
to_index = min(index+n_genes, self.nr_of_bits)
new_genotype.... | code_fim | hard | {
"lang": "python",
"repo": "JohnArneOye/it3708-subsym3",
"path": "/izhikevich_neuron.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> nuke.execute(ct, frame, frame)
gen = nukescripts.snap3d.selectedPoints()
points = [point for point in gen]
avgLen = int(len(points)/2)
x = 0; y = 0; z = 0
for i in range(avgLen):
x += points[i][0]
y += points[i][1]
z += points[i][2]
x /= avgL... | code_fim | hard | {
"lang": "python",
"repo": "zeemzoet/nuke",
"path": "/s_PointsToCornerPin/dev/get_Anim_OnePoint.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zeemzoet/nuke path: /s_PointsToCornerPin/dev/get_Anim_OnePoint.py
import nukescripts
axis = 1
nuke.thisNode()['code'].execute()
_input = checkInput()
if _input['cam'] and _input['geo']:
### checks how many vertices are selected
i = 0
for vertex in nukescripts.snap3d.selectedPoints():
... | code_fim | hard | {
"lang": "python",
"repo": "zeemzoet/nuke",
"path": "/s_PointsToCornerPin/dev/get_Anim_OnePoint.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> nuke.toNode('xPt%d' %axis)['translate'].setAnimated()
nuke.toNode('xPt%d' %axis)['translate'].setValueAt(x, frame,0)
nuke.toNode('xPt%d' %axis)['translate'].setValueAt(y, frame,1)
nuke.toNode('xPt%d' %axis)['translate'].setValueAt(z, frame,2)
pB.setProgress(int((frame-first)*100/l... | code_fim | medium | {
"lang": "python",
"repo": "zeemzoet/nuke",
"path": "/s_PointsToCornerPin/dev/get_Anim_OnePoint.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Singh-Rishabh/crypto_pals path: /set2/q12.py
from hashlib import md5
from base64 import b64decode
from base64 import b64encode
from Crypto.Cipher import AES
from copy import deepcopy
from os import urandom
from random import randint
def padding(block_size,s):
tmp = len(s)%block_size
if (tmp ==... | code_fim | hard | {
"lang": "python",
"repo": "Singh-Rishabh/crypto_pals",
"path": "/set2/q12.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
postfix = '''Um9sbGluJyBpbiBteSA1LjAKV2l0aCBteSByYWctdG9wIGRvd24gc28gbXkgaGFpciBjYW4gYmxvdwpUaGUgZ2lybGllcyBvbiBzdGFuZGJ5IHdhdmluZyBqdXN0IHRvIHNheSBoaQpEaWQgeW91IHN0b3A/IE5vLCBJIGp1c3QgZHJvdmUgYnkK'''
postfix = postfix.decode('base64')
blocksize = detect_block_size()
dict_1_block_cipher = create_dict(bl... | code_fim | hard | {
"lang": "python",
"repo": "Singh-Rishabh/crypto_pals",
"path": "/set2/q12.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def rand_AES_KEY(block_size):
return urandom(block_size)
def encrypt_ecb(key,m):
tmp = len(key)
m = padding(tmp,m)
cipher_text = ""
ecb_obj = AES.new(key, AES.MODE_ECB)
for i in range(0,len(m),tmp):
substr = m[i:i+tmp]
cipher_text = cipher_text + ecb_obj.encrypt(substr)
return cipher_text
d... | code_fim | hard | {
"lang": "python",
"repo": "Singh-Rishabh/crypto_pals",
"path": "/set2/q12.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dgarg3/spar1 path: /delta-test.py
from pyspark.sql import SparkSession
from pyspark.sql import functions as func
from delta.tables import *
#Added config so we can post spark packages
spark = SparkSession.builder\
.master('local')\
.appName('delta-test')\
.conf... | code_fim | hard | {
"lang": "python",
"repo": "dgarg3/spar1",
"path": "/delta-test.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#df2.show()
##Load data frame in to delta table
delta_df2 = DeltaTable.forPath(spark,"/mac/python/spar1/tp")
print(delta_df2.toDF())<|fim_prefix|># repo: dgarg3/spar1 path: /delta-test.py
from pyspark.sql import SparkSession
from pyspark.sql import functions as func
from delta.tables import *
#Added conf... | code_fim | hard | {
"lang": "python",
"repo": "dgarg3/spar1",
"path": "/delta-test.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: qingqingxu2020/gameanalysis path: /test/test_matgame.py
"""Test matrix game"""
import itertools
import json
import random
import numpy as np
import numpy.random as rand
import pytest
from gameanalysis import gamegen
from gameanalysis import matgame
from gameanalysis import paygame
from gameanal... | code_fim | hard | {
"lang": "python",
"repo": "qingqingxu2020/gameanalysis",
"path": "/test/test_matgame.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Test repr"""
matg = matgame.matgame(rand.random((2, 1)))
assert repr(matg) == "MatrixGame([2])"
matg = matgame.matgame(rand.random((2, 3, 2)))
assert repr(matg) == "MatrixGame([2 3])"
@pytest.mark.parametrize(
"players,strats",
[
(1, [2, 2]),
(2, 2),
... | code_fim | hard | {
"lang": "python",
"repo": "qingqingxu2020/gameanalysis",
"path": "/test/test_matgame.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@pytest.mark.parametrize("_", range(20))
def test_random_serialize_copy_role_lengths(_):
"""Test serialization copy"""
num_roles = random.randint(2, 3)
roles = random_names(num_roles)
strats = tuple(random_names(random.randint(2, 3)) for _ in range(num_roles))
players = [random.randin... | code_fim | hard | {
"lang": "python",
"repo": "qingqingxu2020/gameanalysis",
"path": "/test/test_matgame.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Astrosysman/lessons_of_python path: /4_script_romb_2.py
#!/usr/bin/env python3
<|fim_suffix|>my_range = list(range(limit, 1, -1)) + list(range(1, limit + 1))
for i in my_range:
print (' ' * i + '*' * ( limit - i ) * 2 + ' ' * i )<|fim_middle|>limit = 10
| code_fim | easy | {
"lang": "python",
"repo": "Astrosysman/lessons_of_python",
"path": "/4_script_romb_2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>my_range = list(range(limit, 1, -1)) + list(range(1, limit + 1))
for i in my_range:
print (' ' * i + '*' * ( limit - i ) * 2 + ' ' * i )<|fim_prefix|># repo: Astrosysman/lessons_of_python path: /4_script_romb_2.py
#!/usr/bin/env python3
<|fim_middle|>limit = 10
| code_fim | easy | {
"lang": "python",
"repo": "Astrosysman/lessons_of_python",
"path": "/4_script_romb_2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> super(Efficientnet_b0, self).__init__()
self.efficientnet_b0 = EfficientNet.from_name("efficientnet-b7", in_channels=1, num_classes=2)
def forward(self, x):
return self.efficientnet_b0(x)<|fim_prefix|># repo: MLAndDP/pytorchStudy path: /models/EfficientNet.py
from efficientne... | code_fim | medium | {
"lang": "python",
"repo": "MLAndDP/pytorchStudy",
"path": "/models/EfficientNet.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MLAndDP/pytorchStudy path: /models/EfficientNet.py
from efficientnet_pytorch import EfficientNet
from models.BasicModule import BasicModule
efficientnet_b1 = EfficientNet.from_name("efficientnet-b1")
efficientnet_b2 = EfficientNet.from_name("efficientnet-b2")
efficientnet_b3 = EfficientNet.from... | code_fim | medium | {
"lang": "python",
"repo": "MLAndDP/pytorchStudy",
"path": "/models/EfficientNet.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self):
super(Efficientnet_b0, self).__init__()
self.efficientnet_b0 = EfficientNet.from_name("efficientnet-b7", in_channels=1, num_classes=2)
def forward(self, x):
return self.efficientnet_b0(x)<|fim_prefix|># repo: MLAndDP/pytorchStudy path: /models/Efficien... | code_fim | medium | {
"lang": "python",
"repo": "MLAndDP/pytorchStudy",
"path": "/models/EfficientNet.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: syzhang092218-source/panda-grasp path: /panda_grasp/env.py
space is the end-effector's normalized velocity
self.action_space = spaces.Box(
low=np.array([-1., -1., -1.]),
high=np.array([1., 1., 1.]),
dtype=np.float64
)
# observation spa... | code_fim | hard | {
"lang": "python",
"repo": "syzhang092218-source/panda-grasp",
"path": "/panda_grasp/env.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def return_state(self):
return_state = np.concatenate(
[self.panda.state['ee_position'],
self.panda.state['joint_position'][0:7],
self.panda.state['joint_velocity'][0:7],
self.panda.state['joint_torque'][0:7],
self.obj.get_positio... | code_fim | hard | {
"lang": "python",
"repo": "syzhang092218-source/panda-grasp",
"path": "/panda_grasp/env.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> reward, done = self.calculate_reward(next_state, action_real)
return return_state, reward, done, info
def teleop_step(self):
"""
use keyboard to control the robot
:return: state, action, reward, next_state, done, info
"""
# get current state
... | code_fim | hard | {
"lang": "python",
"repo": "syzhang092218-source/panda-grasp",
"path": "/panda_grasp/env.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Old-style classes do no inherit from the Python 'object', therefore the attributes of 'object' won't be found"""
obj = OldClass(11)
print(dir(obj)) # ['__doc__', '__init__', '__module__', 'number']
# Why isn't __class__ seen by dir()? I don't know but it exists
print(obj.__class__) ... | code_fim | hard | {
"lang": "python",
"repo": "tpt5cu/python-tutorial",
"path": "/language/python_27/built_in_functions/dir_py.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def say_hello(self):
print("Hello my name is " + self.name)
def inspect_oldclass_instance():
"""Old-style classes do no inherit from the Python 'object', therefore the attributes of 'object' won't be found"""
obj = OldClass(11)
print(dir(obj)) # ['__doc__', '__init__', '__module_... | code_fim | hard | {
"lang": "python",
"repo": "tpt5cu/python-tutorial",
"path": "/language/python_27/built_in_functions/dir_py.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tpt5cu/python-tutorial path: /language/python_27/built_in_functions/dir_py.py
# https://docs.python.org/2.7/library/functions.html#dir
"""
dir() is more of a convenience function than a rigorously defined object inspector function. It does slightly different things depending on the type
of the ... | code_fim | hard | {
"lang": "python",
"repo": "tpt5cu/python-tutorial",
"path": "/language/python_27/built_in_functions/dir_py.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> g.addEdge("V1", "V2", "E1");
g.addEdge("V1", "V3", "E2");
g.addEdge("V1", "V4", "E3");
g.addEdge("V2", "V5", "E4");
g.addEdge("V5", "V6", "E5");
g.addEdge("V3", "V6", "E6");
g.addEdge("V4", "V6", "E7");
g.addEdge("V6", "V7", "E8");
# obj.topologicalSortUsi... | code_fim | hard | {
"lang": "python",
"repo": "dushyantsapra/Algorithms",
"path": "/org/ds/graph/TopologicalSort.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dushyantsapra/Algorithms path: /org/ds/graph/TopologicalSort.py
'''
Created on Sep 27, 2016
@author: Dushyant sapra
'''
from org.ds.graph.DirectedGraph import DirectedGraph
from org.ds.graph.common.DFSApplicationUtil import DFSApplicationUtil
from org.ds.stack.Stack import StackUsingLinkedList
... | code_fim | hard | {
"lang": "python",
"repo": "dushyantsapra/Algorithms",
"path": "/org/ds/graph/TopologicalSort.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tadasant/strand-api path: /tests/func/users/test_create_user_with_teams.py
import pytest
from django.core import mail
from tests.resources.MutationGenerator import MutationGenerator
class TestCreateUserWithTeams:
# TODO: Break out creating users as superuser vs anonymous user after v0.3
... | code_fim | hard | {
"lang": "python",
"repo": "tadasant/strand-api",
"path": "/tests/func/users/test_create_user_with_teams.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert not mail.outbox
team = team_factory()
user = user_factory.build()
mutation = MutationGenerator.create_user_with_teams(email=user.email, username=user.username,
team_ids=[team.id])
response = superus... | code_fim | hard | {
"lang": "python",
"repo": "tadasant/strand-api",
"path": "/tests/func/users/test_create_user_with_teams.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert response.status_code == 200, response.content
assert response.json()['data']['createUserWithTeams']['user']['email']
assert response.json()['data']['createUserWithTeams']['user']['teams'][0]['name'] == team.name
assert mail.outbox[0].subject == 'Welcome to Strand'
... | code_fim | hard | {
"lang": "python",
"repo": "tadasant/strand-api",
"path": "/tests/func/users/test_create_user_with_teams.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> i = 1
while i < len(l) and l[i] > l[i-1]:
i += 1
if i == len(l):
return True
else:
return False
l = [1,1, 4, 10, 12, 17]
print(je_li_rastuca(l))
print(je_li_rastuca2(l))<|fim_prefix|># repo: AzraHa/Python-assignments path: /Lists/Laboratory exercises/Z2.py
def j... | code_fim | easy | {
"lang": "python",
"repo": "AzraHa/Python-assignments",
"path": "/Lists/Laboratory exercises/Z2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>l = [1,1, 4, 10, 12, 17]
print(je_li_rastuca(l))
print(je_li_rastuca2(l))<|fim_prefix|># repo: AzraHa/Python-assignments path: /Lists/Laboratory exercises/Z2.py
def je_li_rastuca2(l):
for i in range(len(l)-1):
if l[i] >= l[i+1]:
return False
return True
<|fim_middle|>
def je... | code_fim | medium | {
"lang": "python",
"repo": "AzraHa/Python-assignments",
"path": "/Lists/Laboratory exercises/Z2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AzraHa/Python-assignments path: /Lists/Laboratory exercises/Z2.py
def je_li_rastuca2(l):
for i in range(len(l)-1):
if l[i] >= l[i+1]:
return False
return True
<|fim_suffix|> i = 1
while i < len(l) and l[i] > l[i-1]:
i += 1
if i == len(l):
r... | code_fim | easy | {
"lang": "python",
"repo": "AzraHa/Python-assignments",
"path": "/Lists/Laboratory exercises/Z2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> async def test_acquire(self):
proxies = {str(p) for p in self.proxy_collection.proxies}
res = await self.brokerage.acquire(REQUEST_URL_A, [], 10.0)
self.assertEqual(res['broker'], "www.google.com")
self.assertIn(res['proxy'], proxies)
del res['proxy']
... | code_fim | hard | {
"lang": "python",
"repo": "jbn/mimic",
"path": "/test/test_brokerage.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jbn/mimic path: /test/test_brokerage.py
import asyncio
import asynctest
from mimic.brokerage import *
from mimic.proxy_collection import *
REQUEST_URL_A = 'http://www.google.com/search'
<|fim_suffix|> res = await self.brokerage.acquire(REQUEST_URL_A, [], 10.0)
self.assertEqual(... | code_fim | hard | {
"lang": "python",
"repo": "jbn/mimic",
"path": "/test/test_brokerage.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> res = await self.brokerage.acquire(REQUEST_URL_A, [], 10.0)
self.assertEqual(res['broker'], "www.google.com")
del res['proxy']<|fim_prefix|># repo: jbn/mimic path: /test/test_brokerage.py
import asyncio
import asynctest
from mimic.brokerage import *
from mimic.proxy_collection imp... | code_fim | hard | {
"lang": "python",
"repo": "jbn/mimic",
"path": "/test/test_brokerage.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>", img)
cv2.imshow("Me gray", gray)
cv2.waitKey(0)
cv2.destroyAllWindows()<|fim_prefix|># repo: samp42/opencv_learning path: /gray.py
import cv2
print("OpenCV version: ", cv2.__version__)
img = cv2.imread("i<|fim_middle|>mg/me.jpg")
img = cv2.resize(img, (int(img.shape[1]/2),int(img.shape[0]/2)))
gray =... | code_fim | medium | {
"lang": "python",
"repo": "samp42/opencv_learning",
"path": "/gray.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: samp42/opencv_learning path: /gray.py
import cv2
print("OpenCV version: ", cv2.__version__)
img = cv2.imread("img/me.jpg")
img = cv2.resize(img, (int(img.shape[1]/2),int(img.shape[0]/2)<|fim_suffix|>", img)
cv2.imshow("Me gray", gray)
cv2.waitKey(0)
cv2.destroyAllWindows()<|fim_middle|>))
gray =... | code_fim | medium | {
"lang": "python",
"repo": "samp42/opencv_learning",
"path": "/gray.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Krishnamurtyp/Learning-Management-System-1 path: /accounts/models.py
from django.db import models
from django.conf import settings
from django.contrib.auth.models import AbstractUser
from django.core.urlresolvers import reverse
# Create your models here.
class User(AbstractUser):
<|fim_suffix|> ... | code_fim | hard | {
"lang": "python",
"repo": "Krishnamurtyp/Learning-Management-System-1",
"path": "/accounts/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> permissions = (
('create_lms_admin', 'Create LMS Admin'),
('create_instructor', 'Create Instructor'),
('create_teaching_assistant', 'Create Teaching Assistant'),
('create_student', 'Create Student'),
)<|fim_prefix|># repo: Krishnamurtyp/Learn... | code_fim | medium | {
"lang": "python",
"repo": "Krishnamurtyp/Learning-Management-System-1",
"path": "/accounts/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>urlpatterns = router.urls<|fim_prefix|># repo: Teddybear45/BetaCoursePlatform path: /CoursePlatformProject/Instructors/urls.py
from rest_framework import routers
from .api import InstructorViewSet
<|fim_middle|>router = routers.DefaultRouter()
router.register('api/Instructors', InstructorViewSet, 'Instr... | code_fim | medium | {
"lang": "python",
"repo": "Teddybear45/BetaCoursePlatform",
"path": "/CoursePlatformProject/Instructors/urls.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Teddybear45/BetaCoursePlatform path: /CoursePlatformProject/Instructors/urls.py
from rest_framework import routers
from .api import InstructorViewSet
<|fim_suffix|>urlpatterns = router.urls<|fim_middle|>router = routers.DefaultRouter()
router.register('api/Instructors', InstructorViewSet, 'Instr... | code_fim | medium | {
"lang": "python",
"repo": "Teddybear45/BetaCoursePlatform",
"path": "/CoursePlatformProject/Instructors/urls.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main():
print(edit_distance("HelloWorld", "Halloworld"))
print(edit_distance("AGCCT", "ATCT"))
if __name__=="__main__":
main()<|fim_prefix|># repo: Lorne0/ADLxMLDS2017 path: /hw1/RNN/edit_distance.py
import numpy as np
def edit_distance(a, b):
m, n = len(a), len(b)
D = np.zeros(... | code_fim | medium | {
"lang": "python",
"repo": "Lorne0/ADLxMLDS2017",
"path": "/hw1/RNN/edit_distance.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Lorne0/ADLxMLDS2017 path: /hw1/RNN/edit_distance.py
import numpy as np
def edit_distance(a, b):
m, n = len(a), len(b)
D = np.zeros((m+1,n+1), dtype=np.int32)
for i in range(m+1):
D[i][0]=i
for j in range(n+1):
D[0][j]=j
for i in range(1, m+1):
for j ... | code_fim | medium | {
"lang": "python",
"repo": "Lorne0/ADLxMLDS2017",
"path": "/hw1/RNN/edit_distance.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> print(edit_distance("HelloWorld", "Halloworld"))
print(edit_distance("AGCCT", "ATCT"))
if __name__=="__main__":
main()<|fim_prefix|># repo: Lorne0/ADLxMLDS2017 path: /hw1/RNN/edit_distance.py
import numpy as np
def edit_distance(a, b):
m, n = len(a), len(b)
D = np.zeros((m+1,n+1), d... | code_fim | medium | {
"lang": "python",
"repo": "Lorne0/ADLxMLDS2017",
"path": "/hw1/RNN/edit_distance.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Create a homogenous maps for the two domains
domains = [mesh.gridCC[actv, 0] < 0, mesh.gridCC[actv, 0] >= 0]
homogMap = maps.SurjectUnits(domains)
# Create a wire map for a second model space, voxel based
wires = maps.Wires(("homo", len(domains)), ("hetero", nC))
# Create Sum m... | code_fim | hard | {
"lang": "python",
"repo": "simpeg/simpeg",
"path": "/examples/01-maps/plot_sumMap.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if (user.name, user.discriminator) == (member_name, member_discriminator):
await ctx.guild.unban(user)
await ctx.send(f'Bani acildi {user.mention}')
return<|fim_prefix|># repo: baranertemir/discord.py-hazir-kodlar path: /yasak_kaldir.py
@client.command()
@comma... | code_fim | medium | {
"lang": "python",
"repo": "baranertemir/discord.py-hazir-kodlar",
"path": "/yasak_kaldir.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: baranertemir/discord.py-hazir-kodlar path: /yasak_kaldir.py
@client.command()
@commands.has_permissions(administrator = True)
async def bankaldir(ctx, *, member):
banned_users = await ctx.guild.bans()
member_name, member_discriminator = member.split("#")
<|fim_suffix|> if (user.na... | code_fim | medium | {
"lang": "python",
"repo": "baranertemir/discord.py-hazir-kodlar",
"path": "/yasak_kaldir.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rukisama/arcturus_2019 path: /camera.py
from typing import Tuple, Union
class Camera:
def __init__(self, x: int, y: int, width: int, height: int) -> None:
self.x = x
self.y = y
self.width = width
self.height = height
self.x2 = self.x + self.width
... | code_fim | hard | {
"lang": "python",
"repo": "rukisama/arcturus_2019",
"path": "/camera.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> x, y = x - self.x, y - self.y
if x < 0 or y < 0 or x >= self.width or y >= self.height:
return None, None
return x, y<|fim_prefix|># repo: rukisama/arcturus_2019 path: /camera.py
from typing import Tuple, Union
class Camera:
def __init__(self, x: int, y: int, w... | code_fim | hard | {
"lang": "python",
"repo": "rukisama/arcturus_2019",
"path": "/camera.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Sw-Saturn/WelICing path: /course_admin/distance_admin.py
#! Python 3.7.1
# 2018/12/29
# 開発担当者 川本孝太朗
# WelIcingの距離の管理
import sqlite3
from contextlib import closing
import requests
import re
# -------------------------------------------------------------------------------------
# この形式だとデータベースはすっ... | code_fim | hard | {
"lang": "python",
"repo": "Sw-Saturn/WelICing",
"path": "/course_admin/distance_admin.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def delete_data(dbname, table_name, idnum):
with closing(sqlite3.connect(dbname)) as connection:
cursor = connection.cursor()
sql = 'delete from ? where idnum = ? '
data = (table_name, idnum)
cursor.execute(sql, data)
connection.commit()
connection.clos... | code_fim | hard | {
"lang": "python",
"repo": "Sw-Saturn/WelICing",
"path": "/course_admin/distance_admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eureka-me/git path: /ch2/p38.py
#! env python
# -*- coding: utf-8 -*-
# Date: 2017/09/16
# Filename: p38
<|fim_suffix|>import pymc as pm
lambda_1 = pm.Exponential("lambda_1", 1)
lambda_2 = pm.Exponential("lambda_2", 1)
tau = pm.DiscreteUniform("tau", lower=0, upper=10)
print(type(lambda_1)) ... | code_fim | medium | {
"lang": "python",
"repo": "eureka-me/git",
"path": "/ch2/p38.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>lambda_1 = pm.Exponential("lambda_1", 1)
lambda_2 = pm.Exponential("lambda_2", 1)
tau = pm.DiscreteUniform("tau", lower=0, upper=10)
print(type(lambda_1)) # <class 'pymc.distributions.Exponential'>
print(type(lambda_2)) # <class 'pymc.distributions.Exponential'>
print(type(lambda_1+lambda_2)) # <class... | code_fim | medium | {
"lang": "python",
"repo": "eureka-me/git",
"path": "/ch2/p38.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vuamitom/Code-Exercises path: /aichallenge/question_answer/preprocess.py
= q['title']
# while len(tokenizer.tokenize(chosen + ' . ' + sentences[idx][1])) < MAX_SEQ_LENGTH:
# chosen = chosen + ' . ' + sentences[idx][1]
# idx += ... | code_fim | hard | {
"lang": "python",
"repo": "vuamitom/Code-Exercises",
"path": "/aichallenge/question_answer/preprocess.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_mask_names():
m = dict()
with open('./data/names.csv', 'r') as f:
reader = csv.reader(f, delimiter='\t')
for r in reader:
# print(r)
name, a = r
# if a.strip() is not None:
if a is not None and not a.strip() == '':
... | code_fim | hard | {
"lang": "python",
"repo": "vuamitom/Code-Exercises",
"path": "/aichallenge/question_answer/preprocess.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vuamitom/Code-Exercises path: /aichallenge/question_answer/preprocess.py
relcount = sum([1 if v[0] > 0 else 0 for v in sentences])
delta = sentences[0][0] - sentences[1][0]
if relcount == 1:
... | code_fim | hard | {
"lang": "python",
"repo": "vuamitom/Code-Exercises",
"path": "/aichallenge/question_answer/preprocess.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
import random
list = [4, 1, 8, 5, 3, 7]
nums = [random.randint(0, 1000) for i in range(10)]
print(cocktail_list(nums))<|fim_prefix|># repo: kazuhiko1979/algo path: /7_cocktail_sort/main.py
# cock_tail sort
from typing import List
def cocktail_list(numbers: Li... | code_fim | hard | {
"lang": "python",
"repo": "kazuhiko1979/algo",
"path": "/7_cocktail_sort/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kazuhiko1979/algo path: /7_cocktail_sort/main.py
# cock_tail sort
from typing import List
def cocktail_list(numbers: List[int]) -> List[int]:
len_numbers = len(numbers)
swapped = True
start = 0
end = len_numbers - 1
while swapped:
swapped = False
for i in ra... | code_fim | hard | {
"lang": "python",
"repo": "kazuhiko1979/algo",
"path": "/7_cocktail_sort/main.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> price_total = 0.0
for d in self.lines:
price_total += d.subtotal
self.price_total = price_total
class OrderLine(models.Model):
u'''销售订单明细'''
_name = 'sales.order.line'
sales_order = fields.Many2one('sales.order', u'订单', index=True, required=True, ond... | code_fim | hard | {
"lang": "python",
"repo": "oldrev/odoodev-demo-2014",
"path": "/sales/sales.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> name = fields.Char(u'单号', required=True)
customer = fields.Many2one('sales.customer', u'客户', required=True)
order_time = fields.Datetime(u'下单时间', required=True, default=fields.Datetime.now())
lines = fields.One2many('sales.order.line', 'sales_order', u'订单明细')
price_total = fields.Float... | code_fim | medium | {
"lang": "python",
"repo": "oldrev/odoodev-demo-2014",
"path": "/sales/sales.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: oldrev/odoodev-demo-2014 path: /sales/sales.py
# encoding: utf-8
from datetime import timedelta
from datetime import date, datetime
from openerp import models, fields, api, _
from openerp.tools import cache
from openerp.exceptions import Warning
from openerp.tools import DEFAULT_SERVER_DATE_FOR... | code_fim | hard | {
"lang": "python",
"repo": "oldrev/odoodev-demo-2014",
"path": "/sales/sales.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># def valuesGreaterThanSecond(list):
# i = 0
# count = 0
# arr = []
# while i < len(list):
# if(list[i] > list[1]):
# count = count + 1
# arr.append(list[i])
# i = i + 1
# print(count)
# return arr
# print(valuesGreaterThanSecond([5,2,3,2,1,4]))
# def thisLengthThatValue(l... | code_fim | hard | {
"lang": "python",
"repo": "troubleshoot/python_stack",
"path": "/Python/Python_Fundamentals/Functions_Basic_2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: troubleshoot/python_stack path: /Python/Python_Fundamentals/Functions_Basic_2.py
# def countdown(x):
# while x >= 0:
# print(x)
# x = x - 1
# countdown(5)
<|fim_suffix|># def valuesGreaterThanSecond(list):
# i = 0
# count = 0
# arr = []
# while i < len(list):
# if(list[i] >... | code_fim | hard | {
"lang": "python",
"repo": "troubleshoot/python_stack",
"path": "/Python/Python_Fundamentals/Functions_Basic_2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>coinnum += n // coin
n %= coin
print(coinnum)<|fim_prefix|># repo: dev-saem/algorism path: /algorism/4day/01.py
# 01. 세금징수(그리디)
t = int(input())
for i in range(t):
n = int(input())
coins = [50000, 10000, 5000, 1000, <|fim_middle|>500, 100]
coinnum = 0
for coin in coins:
... | code_fim | easy | {
"lang": "python",
"repo": "dev-saem/algorism",
"path": "/algorism/4day/01.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
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