text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: damianbeles/Snake-Versus path: /player.py
import pygame
from utils import Entity
class Player:
KEYS = {pygame.K_a: "a", pygame.K_b: "b", pygame.K_c: "c", pygame.K_d: "d", pygame.K_e: "e", pygame.K_f: "f",
pygame.K_g: "g", pygame.K_h: "h", pygame.K_i: "i", pygame.K_j: "j", pyga... | code_fim | hard | {
"lang": "python",
"repo": "damianbeles/Snake-Versus",
"path": "/player.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>entre {} e {} é {}'.format(n1, n2, media))<|fim_prefix|># repo: brunocorbetta/exerciciocursoemvideo path: /ex007.py
n1 = float(input('Primeira nota do aluno: '))
n2 = float(input('Segunda nota do alun<|fim_middle|>o: '))
media = (n1+n2) / 2
print('A media | code_fim | easy | {
"lang": "python",
"repo": "brunocorbetta/exerciciocursoemvideo",
"path": "/ex007.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: brunocorbetta/exerciciocursoemvideo path: /ex007.py
n1 = float(input('Primeira nota do aluno: '))
n2 = float(input('Segunda nota do alun<|fim_suffix|>entre {} e {} é {}'.format(n1, n2, media))<|fim_middle|>o: '))
media = (n1+n2) / 2
print('A media | code_fim | easy | {
"lang": "python",
"repo": "brunocorbetta/exerciciocursoemvideo",
"path": "/ex007.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert self.is_string_in_url_present(LoginPageLocators.LOGIN_PAGE_URL), "URL do not contain 'login' string."
def basket_is_empty_message_present(self):
print(self.browser.find_element(*BasketPageLocators.BASKET_IS_EMPTY_MESSAGE).text)
assert self.browser.find_element(*BasketPa... | code_fim | hard | {
"lang": "python",
"repo": "victorkaplunov/PageObject",
"path": "/pages/base_page.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: victorkaplunov/PageObject path: /pages/base_page.py
import math
from selenium.common.exceptions import NoAlertPresentException
from selenium.common.exceptions import NoSuchElementException
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.support.ui import WebDriverW... | code_fim | hard | {
"lang": "python",
"repo": "victorkaplunov/PageObject",
"path": "/pages/base_page.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: EPgg92/solat path: /tree_model/scr.py
import os
for x in range(1,10):
print('clean tmp')
os.system('bash cleantmp.sh')
print(x)
print('python generateFeatures.py {}'.format(x))
os.<|fim_suffix|>odyId.py {}'.format(x))
os.system('python xgb_train_cvBodyId.py {}'.format(x))<... | code_fim | medium | {
"lang": "python",
"repo": "EPgg92/solat",
"path": "/tree_model/scr.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>system('python generateFeatures.py {}'.format(x))
print('python xgb_train_cvBodyId.py {}'.format(x))
os.system('python xgb_train_cvBodyId.py {}'.format(x))<|fim_prefix|># repo: EPgg92/solat path: /tree_model/scr.py
import os
for x in range(1,10):
print('clean tmp')
os.system('bash cleant<... | code_fim | medium | {
"lang": "python",
"repo": "EPgg92/solat",
"path": "/tree_model/scr.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>admin.site.register(Product, ProductModelAdmin)
admin.site.register(Product_Varients, Product_VarientsModelAdmin)
admin.site.register(Sno, SnoModelAdmin)<|fim_prefix|># repo: smi96/django_clothsize_filter path: /shirts/shirt/admin.py
from django.contrib import admin
# Register your models here.
from shi... | code_fim | hard | {
"lang": "python",
"repo": "smi96/django_clothsize_filter",
"path": "/shirts/shirt/admin.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: smi96/django_clothsize_filter path: /shirts/shirt/admin.py
from django.contrib import admin
# Register your models here.
from shirt.models import Product, Product_Varients, Sno
class ProductModelAdmin(admin.ModelAdmin):
<|fim_suffix|> model = Product
class Product_VarientsModelAdmin(admin.Mo... | code_fim | hard | {
"lang": "python",
"repo": "smi96/django_clothsize_filter",
"path": "/shirts/shirt/admin.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
Returns
-------
fout : ndarray - (n, )
vector field of given nonliner dynamical system with state
feedback input
"""
fout = self.dynamicsf(x,p)+dEf(x,p)
return fout
def rk4(self,x,p,dEf,fun):
"""
Compute state a... | code_fim | hard | {
"lang": "python",
"repo": "AstroHiro/ncm",
"path": "/classncm.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AstroHiro/ncm path: /classncm.py
dimension
Afun : function - ndarray (n,n_p) -> (n,n)
Jacobian of dynamicsf (can be set to state-dependent coefficient
matrix A s.t. f(x) = A(x)x, see the CV-STEM paper for details)
Cfun : function - ndarray (n,n_p) -> (n,m)... | code_fim | hard | {
"lang": "python",
"repo": "AstroHiro/ncm",
"path": "/classncm.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Returns
-------
fout : ndarray - (n, )
vector field of given nonliner dynamical system with state
feedback input
"""
fout = self.dynamicsf(x,p)+dEf(x,p)
return fout
def rk4(self,x,p,dEf,fun):
"""
Compute state at... | code_fim | hard | {
"lang": "python",
"repo": "AstroHiro/ncm",
"path": "/classncm.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># remove all the accents
for i in range(len(scores)):
scores.LastName[i] = unidecode(unicode(scores.LastName[i]))
scores.FirstName[i] = unidecode(unicode(scores.FirstName[i]))
scores.to_csv("Score_no_accent.csv")<|fim_prefix|># repo: Huade/BipartisanIndex path: /Data/no_accent.py
# coding: utf-... | code_fim | easy | {
"lang": "python",
"repo": "Huade/BipartisanIndex",
"path": "/Data/no_accent.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Huade/BipartisanIndex path: /Data/no_accent.py
# coding: utf-8
# In[3]:
from unidecode import unidecode
import pandas as pd
scores = pd.read_csv("Score.csv")
<|fim_suffix|>scores.to_csv("Score_no_accent.csv")<|fim_middle|># remove all the accents
for i in range(len(scores)):
scores.LastN... | code_fim | medium | {
"lang": "python",
"repo": "Huade/BipartisanIndex",
"path": "/Data/no_accent.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>scores.to_csv("Score_no_accent.csv")<|fim_prefix|># repo: Huade/BipartisanIndex path: /Data/no_accent.py
# coding: utf-8
# In[3]:
from unidecode import unidecode
import pandas as pd
<|fim_middle|>scores = pd.read_csv("Score.csv")
# remove all the accents
for i in range(len(scores)):
scores.LastN... | code_fim | hard | {
"lang": "python",
"repo": "Huade/BipartisanIndex",
"path": "/Data/no_accent.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>angle = 0
for i in range(frames):
newPage(side, side)
frameDuration(1/24)
fill(0)
rect(0, 0, side, side)
shapes(angle)
angle += turn/frames
saveImage('~/Desktop/34_36_DAYS_OF_TYPE_2020.mp4')<|fim_prefix|># repo: eduairet/eat36daysOfType2020 path: /34_36_DAYS_OF_TYPE_2020... | code_fim | hard | {
"lang": "python",
"repo": "eduairet/eat36daysOfType2020",
"path": "/34_36_DAYS_OF_TYPE_2020.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eduairet/eat36daysOfType2020 path: /34_36_DAYS_OF_TYPE_2020.py
side = 1080
frames = 48
turn = 360
def shapes(angle):
fill(0, 1, 0.5)
stroke(0, 1, 0.5)
strokeWidth(0.1)
def shape1(angle):
<|fim_suffix|>angle = 0
for i in range(frames):
newPage(side, side)
frameDuration(1/2... | code_fim | hard | {
"lang": "python",
"repo": "eduairet/eat36daysOfType2020",
"path": "/34_36_DAYS_OF_TYPE_2020.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def construct_target(trainSamples):
"""
given trainSamples,
return a list of targets
"""
feature_names = ["click_bool", "booking_bool","position"]
samples = trainSamples[feature_names].values
def f(vec):
x, y, z = vec
return y + 0.2 * x
return [f(vec... | code_fim | hard | {
"lang": "python",
"repo": "jiecaoc/kaggle",
"path": "/hotel_search/src/utilities.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jiecaoc/kaggle path: /hotel_search/src/utilities.py
# -*- coding: utf-8 -*-
"""
Created on Sat Nov 30 11:25:54 2013
@author: jiecaoc
"""
def preprocess(trainSample):
"""
pre-process the trainSample
given trainSample
return a list of features
"""
feature_names... | code_fim | hard | {
"lang": "python",
"repo": "jiecaoc/kaggle",
"path": "/hotel_search/src/utilities.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
given trainSamples,
return a list of targets
"""
feature_names = ["click_bool", "booking_bool","position"]
samples = trainSamples[feature_names].values
def f(vec):
x, y, z = vec
return y + 0.2 * x
return [f(vec) for vec in samples]<|fim_prefix|>#... | code_fim | hard | {
"lang": "python",
"repo": "jiecaoc/kaggle",
"path": "/hotel_search/src/utilities.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # gromacs preprocessing & MD
gmx grompp %(grompp_options)s %(ndxfile_options)s -f %(mdpfile_name)s -c $tmpstartgro -p %(topfile_name)s -o %(tprfile_name)s
gmx mdrun -nt %(size)s %(mdrun_options)s -s %(tprfile_name)s -o %(trrfile_name)s -e %(edrfile_name)s
#... | code_fim | hard | {
"lang": "python",
"repo": "radical-cybertools/ExTASY",
"path": "/examples/grlsd-on-stampede/helper_scripts/run.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: radical-cybertools/ExTASY path: /examples/grlsd-on-stampede/helper_scripts/run.py
__author__ = 'vivek'
'''
Purpose : This file is executed by each of the compute units in the
simulation stage. Uses the arguments to create a bash script
which is executed on the remote ma... | code_fim | hard | {
"lang": "python",
"repo": "radical-cybertools/ExTASY",
"path": "/examples/grlsd-on-stampede/helper_scripts/run.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>GENFILE = "generated_file.txt"
##==============================================================#
## SECTION: Function Definitions #
##==============================================================#
def gen_file():
with open(GENFILE, "w") as fo:
fo.write("just a... | code_fim | medium | {
"lang": "python",
"repo": "jeffrimko/Qprompt",
"path": "/tests/menu_helper_1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
menu = qprompt.Menu()
menu.add("g", "Generate file", gen_file)
menu.add("d", "Delete file", del_file)
menu.main(loop=True)<|fim_prefix|># repo: jeffrimko/Qprompt path: /tests/menu_helper_1.py
##==============================================================#
## S... | code_fim | hard | {
"lang": "python",
"repo": "jeffrimko/Qprompt",
"path": "/tests/menu_helper_1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jeffrimko/Qprompt path: /tests/menu_helper_1.py
##==============================================================#
## SECTION: Imports #
##==============================================================#
from testlib import *
import qprompt
##==========... | code_fim | medium | {
"lang": "python",
"repo": "jeffrimko/Qprompt",
"path": "/tests/menu_helper_1.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: signalfx/signalfx-agent path: /tests/monitors/windows_iis/windowsiis_test.py
import sys
import pytest
from tests.helpers.assertions import http_status
from tests.helpers.metadata import Metadata
from tests.helpers.verify import run_agent_verify_default_metrics, run_agent_verify_all_metrics
pyt... | code_fim | medium | {
"lang": "python",
"repo": "signalfx/signalfx-agent",
"path": "/tests/monitors/windows_iis/windowsiis_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_windowsiis_all():
# Required to make sure a worker (w3wp process) has started for process metrics.
assert http_status("http://localhost", [200]), "IIS should be running on localhost"
run_agent_verify_all_metrics(
"""
monitors:
- type: windows-iis
ex... | code_fim | hard | {
"lang": "python",
"repo": "signalfx/signalfx-agent",
"path": "/tests/monitors/windows_iis/windowsiis_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>class UDPMeasurementEventHandler(socketserver.DatagramRequestHandler):
def handle(self):
udp_payload=self.request[0].strip().decode()
ip_address=self.client_address[0]
log.info(ip_address+":"+udp_payload)
# measurements=serializer.udp_msg_to_measurements(udp_payload)
... | code_fim | medium | {
"lang": "python",
"repo": "andrewwgordon/robot_telemetry_service",
"path": "/robottelemetryservice/infrastructure/udp/udp_measurement_event_handler.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: andrewwgordon/robot_telemetry_service path: /robottelemetryservice/infrastructure/udp/udp_measurement_event_handler.py
import logging
import socketserver
import threading
from robottelemetryservice.infrastructure.serialisation import serializer
from robottelemetryservice.infrastructure.configurat... | code_fim | medium | {
"lang": "python",
"repo": "andrewwgordon/robot_telemetry_service",
"path": "/robottelemetryservice/infrastructure/udp/udp_measurement_event_handler.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Stella2019/UD513_Intro_to_DS_and_Algo path: /L3_Searching and sorting/Quiz_BinarySearch_practice.py
"""You're going to write a binary search function.
You should use an iterative approach - meaning
using loops.
Your function should take two inputs:
a Python list to search through, and the value
y... | code_fim | medium | {
"lang": "python",
"repo": "Stella2019/UD513_Intro_to_DS_and_Algo",
"path": "/L3_Searching and sorting/Quiz_BinarySearch_practice.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
return -1
test_list = [1,3,9,11,15,19,29]
test_val1 = 25
test_val2 = 15
print ( binary_search(test_list, test_val1) )
print ( binary_search(test_list, test_val2) )<|fim_prefix|># repo: Stella2019/UD513_Intro_to_DS_and_Algo path: /L3_Searching and sorting/Quiz_BinarySearch_practice.py
"""You're ... | code_fim | hard | {
"lang": "python",
"repo": "Stella2019/UD513_Intro_to_DS_and_Algo",
"path": "/L3_Searching and sorting/Quiz_BinarySearch_practice.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ZhuoZhuoCrayon/AcousticKeyBoard-Web path: /apps/keyboard/core/mfcc/mfcc.py
import math
import numpy as np
from scipy.signal import lfilter
from apps.keyboard.core.mfcc import trifbank, vec2frames
def nextpow2(n):
return np.ceil(np.log2(np.abs(n))).astype("long")
# function [CC, FBE, fra... | code_fim | hard | {
"lang": "python",
"repo": "ZhuoZhuoCrayon/AcousticKeyBoard-Web",
"path": "/apps/keyboard/core/mfcc/mfcc.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # % Explode samples to the range of 16 bit shorts
if np.abs(speech).max(0) <= 1:
speech = speech * (pow(2, 15))
Nw = round(1e-3 * Tw * fs)
Ns = round(1e-3 * Ts * fs)
nfft = pow(2, nextpow2(Nw))
K = nfft / 2 + 1
def hz2mel(hz):
"""hz2mel = @(hz)(1127 * log(1 +... | code_fim | medium | {
"lang": "python",
"repo": "ZhuoZhuoCrayon/AcousticKeyBoard-Web",
"path": "/apps/keyboard/core/mfcc/mfcc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def ceplifter(N, L):
"""1 + 0.5 * L * sin(pi * [0:N - 1] / L)"""
return 1 + 0.5 * L * np.sin(np.pi * np.arange(N) / L)
# speech = filter([1, -alpha], 1, speech);
speech = lfilter([1, -alpha], 1, speech)
frames = vec2frames.vec2frames(speech, Nw, Ns, "cols", window, False)... | code_fim | hard | {
"lang": "python",
"repo": "ZhuoZhuoCrayon/AcousticKeyBoard-Web",
"path": "/apps/keyboard/core/mfcc/mfcc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
http://127.0.0.1:8000/app4/getteachCourse?tno=101
'''
tid=request.GET.get("tno")
result=TeachPlan.objects.values("teacher__tno","teacher__tname","course__cname","department__dname").filter(teacher__tno=tid)
return showJsonresult(result)<|fim_prefix|># repo: Vanessa-kriby/Python... | code_fim | easy | {
"lang": "python",
"repo": "Vanessa-kriby/Python",
"path": "/day08/django/app4/dateview/getteachCourse.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Vanessa-kriby/Python path: /day08/django/app4/dateview/getteachCourse.py
from app1.models import *
from app1.util.utils import *
<|fim_suffix|> '''
http://127.0.0.1:8000/app4/getteachCourse?tno=101
'''
tid=request.GET.get("tno")
result=TeachPlan.objects.values("teacher__tno","... | code_fim | easy | {
"lang": "python",
"repo": "Vanessa-kriby/Python",
"path": "/day08/django/app4/dateview/getteachCourse.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Kennedy-Lab-UW/Duplex-Seq-Pipeline path: /scripts/mergeSubImages.py
from argparse import ArgumentParser
import math
from PIL import Image
def main():
parser = ArgumentParser()
parser.add_argument("inBed"),
parser.add_argument("inPrefix")
o = parser.parse_args()
<|fim_suffix|> ... | code_fim | medium | {
"lang": "python",
"repo": "Kennedy-Lab-UW/Duplex-Seq-Pipeline",
"path": "/scripts/mergeSubImages.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> inBed = open(o.inBed, 'r')
numLines = 0.
for line in inBed:
if line.strip() != "":
numLines += 1
numImages = math.ceil(numLines / bedLinesPerImage)
firstImage = Image.open(f"{o.inPrefix}.1.targetCoverage.png")
imageStart = 0
my_images = []
totalSize = 0
... | code_fim | medium | {
"lang": "python",
"repo": "Kennedy-Lab-UW/Duplex-Seq-Pipeline",
"path": "/scripts/mergeSubImages.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cnukaus/footprint-analytics path: /footprint_airflow/dags/utils/variables.py
from datetime import datetime
from airflow.models import Variable
def read_dag_var(var_prefix, **kwargs):
<|fim_suffix|> full_var_name = f'{var_prefix}{var_name}' if var_prefix is not None else var_name
var = V... | code_fim | medium | {
"lang": "python",
"repo": "cnukaus/footprint-analytics",
"path": "/footprint_airflow/dags/utils/variables.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if isinstance(bool_string, bool):
return bool_string
if bool_string is None or len(bool_string) == 0:
return default
else:
return bool_string.lower() in ["true", "yes"]
def parse_int(val):
if val is None:
return None
return int(val)<|fim_prefix|># repo... | code_fim | hard | {
"lang": "python",
"repo": "cnukaus/footprint-analytics",
"path": "/footprint_airflow/dags/utils/variables.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> phone = models.CharField(
help_text=_("Número de telefone. Preencha apenas com números."),
verbose_name=_("Número de Telefone"),
max_length=15, null=False, blank=False)
class Meta:
verbose_name = _('Número de telefone')
verbose_name_plural = _('Números de t... | code_fim | medium | {
"lang": "python",
"repo": "Ache-Um-Pet/web",
"path": "/users/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __str__(self):
return self.phone
class PetUser(User):
"""Docstring for PetUser"""
phone_numbers = models.ManyToManyField(PhoneNumber)
class Meta:
verbose_name = _('Usuário')
verbose_name_plural = _('Usuários')
def __str__(self):
return (self.firs... | code_fim | medium | {
"lang": "python",
"repo": "Ache-Um-Pet/web",
"path": "/users/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ache-Um-Pet/web path: /users/models.py
from django.contrib.auth.models import User
from django.db import models
from django.utils.translation import ugettext_lazy as _
class PhoneNumber(models.Model):
"""Docstring for PhoneNumber"""
phone = models.CharField(
help_text=_("Número... | code_fim | medium | {
"lang": "python",
"repo": "Ache-Um-Pet/web",
"path": "/users/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wyaadarsh/LeetCode-Solutions path: /Python3/0982-Triples-With-Bitwise-AND-Equal-to-Zero/soln-1.py
class Solution:
def countTriplets(self, A: List[int]) -> int:
# 1 <= len(A) <= 1000<|fim_suffix|>irs[a & b] += 1
ans = 0
for num in A:
for p, cnt in enumerate(... | code_fim | hard | {
"lang": "python",
"repo": "wyaadarsh/LeetCode-Solutions",
"path": "/Python3/0982-Triples-With-Bitwise-AND-Equal-to-Zero/soln-1.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>):
if cnt and (num & p) == 0:
ans += cnt
return ans<|fim_prefix|># repo: wyaadarsh/LeetCode-Solutions path: /Python3/0982-Triples-With-Bitwise-AND-Equal-to-Zero/soln-1.py
class Solution:
def countTriplets(self, A: List[int]) -> int:
# 1 <= len(A) <=... | code_fim | hard | {
"lang": "python",
"repo": "wyaadarsh/LeetCode-Solutions",
"path": "/Python3/0982-Triples-With-Bitwise-AND-Equal-to-Zero/soln-1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>irs[a & b] += 1
ans = 0
for num in A:
for p, cnt in enumerate(pairs):
if cnt and (num & p) == 0:
ans += cnt
return ans<|fim_prefix|># repo: wyaadarsh/LeetCode-Solutions path: /Python3/0982-Triples-With-Bitwise-AND-Equal-to-Zero/soln-... | code_fim | hard | {
"lang": "python",
"repo": "wyaadarsh/LeetCode-Solutions",
"path": "/Python3/0982-Triples-With-Bitwise-AND-Equal-to-Zero/soln-1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yoniLavi/Open-Knesset path: /suggestions/models.py
from datetime import datetime
import json
from django.contrib.auth.models import User
from django.contrib.contenttypes.models import ContentType
from django.contrib.contenttypes import generic
from django.db import models
from django.utils.trans... | code_fim | hard | {
"lang": "python",
"repo": "yoniLavi/Open-Knesset",
"path": "/suggestions/models.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> return subject
def do_create(self, subject):
"""Create a new instance.
we don't care about prev subjects, as we're creating a new one
"""
model = self.subject_type.model_class()
subject = model.objects.create(**dict(self.action_params))
return... | code_fim | hard | {
"lang": "python",
"repo": "yoniLavi/Open-Knesset",
"path": "/suggestions/models.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Fadi88/AoC path: /2022/day20/code.py
from time import time as perf_counter
def profiler(method):
def wrapper_method(*arg, **kw):
t = perf_counter()
ret = method(*arg, **kw)
print('Method ' + method.__name__ + ' took : ' +
"{:2.5f}".format(perf_counter()... | code_fim | hard | {
"lang": "python",
"repo": "Fadi88/AoC",
"path": "/2022/day20/code.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> buffer = [(idx, i) for idx, i in enumerate(input)]
for _ in range(10):
for idx, i in enumerate(input):
old_idx = buffer.index((idx, i))
buffer.remove((idx, i))
buffer.insert((old_idx + i + len(input) - 1) %
(len(input) - 1), (... | code_fim | medium | {
"lang": "python",
"repo": "Fadi88/AoC",
"path": "/2022/day20/code.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self._rate
@rate.setter
def rate(self, value):
self._rate = value
def to_alipay_dict(self):
params = dict()
if self.activity_type:
if hasattr(self.activity_type, 'to_alipay_dict'):
params['activity_type'] = self.activity_typ... | code_fim | hard | {
"lang": "python",
"repo": "alipay/alipay-sdk-python-all",
"path": "/alipay/aop/api/domain/ActivityMerchantOrder.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alipay/alipay-sdk-python-all path: /alipay/aop/api/domain/ActivityMerchantOrder.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class ActivityMerchantOrder(object):
def __init__(self):
self._activity_type = None
... | code_fim | hard | {
"lang": "python",
"repo": "alipay/alipay-sdk-python-all",
"path": "/alipay/aop/api/domain/ActivityMerchantOrder.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
('spraying', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='chemusedinspray',
name='rate_units',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='+', to='measures.Rate... | code_fim | medium | {
"lang": "python",
"repo": "emmakschu/greensManagerDjango",
"path": "/spraying/migrations/0002_auto_20180504_0956.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: emmakschu/greensManagerDjango path: /spraying/migrations/0002_auto_20180504_0956.py
# -*- coding: utf-8 -*-
# Generated by Django 1.11.12 on 2018-05-04 14:56
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrat... | code_fim | medium | {
"lang": "python",
"repo": "emmakschu/greensManagerDjango",
"path": "/spraying/migrations/0002_auto_20180504_0956.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='chemusedinspray',
name='rate_units',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='+', to='measures.RateUnit'),
),
migrations.AlterField(
model... | code_fim | medium | {
"lang": "python",
"repo": "emmakschu/greensManagerDjango",
"path": "/spraying/migrations/0002_auto_20180504_0956.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dreamkeep/TiKick path: /tmarl/configs/config.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2021 The TARTRL Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the ... | code_fim | hard | {
"lang": "python",
"repo": "dreamkeep/TiKick",
"path": "/tmarl/configs/config.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # optimizer parameters
parser.add_argument("--lr", type=float, default=5e-4,
help='learning rate (default: 5e-4)')
parser.add_argument("--tau", type=float, default=0.995,
help='soft update polyak (default: 0.995)')
parser.add_argument("--crit... | code_fim | hard | {
"lang": "python",
"repo": "dreamkeep/TiKick",
"path": "/tmarl/configs/config.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # replay buffer parameters
parser.add_argument("--episode_length", type=int,
default=200, help="Max length for any episode")
# network parameters
parser.add_argument("--separate_policy", action='store_true',
default=False, help='Whether agen... | code_fim | hard | {
"lang": "python",
"repo": "dreamkeep/TiKick",
"path": "/tmarl/configs/config.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Talker('robot1')
r = Robot('blackboard','robot1',1,1,1,1,5,10,10,bat,'robot1',talker)
rospy.spin()<|fim_prefix|># repo: fontysrobotics/Blackboard_based_distributed_fleet_manager path: /catkin_ws/bbinstance/src/bbinstance/robotInstance.py
#!/usr/bin/env python
#need to point to classes inorder to ... | code_fim | medium | {
"lang": "python",
"repo": "fontysrobotics/Blackboard_based_distributed_fleet_manager",
"path": "/catkin_ws/bbinstance/src/bbinstance/robotInstance.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fontysrobotics/Blackboard_based_distributed_fleet_manager path: /catkin_ws/bbinstance/src/bbinstance/robotInstance.py
#!/usr/bin/env python
#need to point to classes inorder to import
import rospy
from blackboard.Robot impo<|fim_suffix|> Talker('robot1')
r = Robot('blackboard','robot1',1,1,1,1,5,... | code_fim | hard | {
"lang": "python",
"repo": "fontysrobotics/Blackboard_based_distributed_fleet_manager",
"path": "/catkin_ws/bbinstance/src/bbinstance/robotInstance.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self,):
_MAID.__init__(self)
self.name = "MAIDS"
self.specie = 'nouns'
self.basic = "maid"
self.jsondata = {}<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/nouns/_maids.py
from xai.brain.wordbase.nouns._maid import _MAID
<|fim_middle|>#calss header
class _MAIDS(_... | code_fim | easy | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/nouns/_maids.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/nouns/_maids.py
from xai.brain.wordbase.nouns._maid import _MAID
<|fim_suffix|> def __init__(self,):
_MAID.__init__(self)
self.name = "MAIDS"
self.specie = 'nouns'
self.basic = "maid"
self.jsondata = {}<|fim_middle|>#calss header
class _MAIDS(_... | code_fim | easy | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/nouns/_maids.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>)
next=f1+f2
f1=f2
f2=next<|fim_prefix|># repo: Codechef-SRM-NCR-Chapter/30-DaysOfCode-March-2021 path: /answers/Khushi/Day 5/Question 1.py
#Print first 50 terms of Fibonacci Series:
f1=0
f2=1
print(f1,end=" ")
for x<|fim_middle|> in range (1,50):
print(f2,end=" " | code_fim | easy | {
"lang": "python",
"repo": "Codechef-SRM-NCR-Chapter/30-DaysOfCode-March-2021",
"path": "/answers/Khushi/Day 5/Question 1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Codechef-SRM-NCR-Chapter/30-DaysOfCode-March-2021 path: /answers/Khushi/Day 5/Question 1.py
#Print first 50 terms of Fibonacci Ser<|fim_suffix|> in range (1,50):
print(f2,end=" ")
next=f1+f2
f1=f2
f2=next<|fim_middle|>ies:
f1=0
f2=1
print(f1,end=" ")
for x | code_fim | easy | {
"lang": "python",
"repo": "Codechef-SRM-NCR-Chapter/30-DaysOfCode-March-2021",
"path": "/answers/Khushi/Day 5/Question 1.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jthistle/wiskesynth path: /sf_test.py
from wiske import Synthesizer, EventNoteOn, EventNoteOff
NOTE = 50
synth = Synthesizer()
synth.load_soundfont("/home/james/Downloads/GeneralUserGS/GeneralUserGS.sf2")
# synth.load_soundfont("/home/james/Documents/MuseScore3Development/SoundFonts/MuseScore... | code_fim | medium | {
"lang": "python",
"repo": "jthistle/wiskesynth",
"path": "/sf_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for note in NOTES:
inst.send_event(EventNoteOff(note + PITCH))
input()
synth.halt()<|fim_prefix|># repo: jthistle/wiskesynth path: /sf_test.py
from wiske import Synthesizer, EventNoteOn, EventNoteOff
NOTE = 50
synth = Synthesizer()
synth.load_soundfont("/home/james/Downloads/GeneralUserGS/Genera... | code_fim | hard | {
"lang": "python",
"repo": "jthistle/wiskesynth",
"path": "/sf_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>input()
for note in NOTES:
inst.send_event(EventNoteOn(note + PITCH, 100))
input()
for note in NOTES:
inst.send_event(EventNoteOff(note + PITCH))
input()
synth.halt()<|fim_prefix|># repo: jthistle/wiskesynth path: /sf_test.py
from wiske import Synthesizer, EventNoteOn, EventNoteOff
NOTE = 50... | code_fim | medium | {
"lang": "python",
"repo": "jthistle/wiskesynth",
"path": "/sf_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @commands.command(name='image', aliases=['i', 'img'], help="Queries DuckDuckGo and returns the first image result")
async def image_search(self, ctx, *args):
try:
async with ctx.typing():
result = ddg_image_search(args)
embed = Embed(
... | code_fim | hard | {
"lang": "python",
"repo": "xcdmcode/xcdmbot",
"path": "/cogs/search.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xcdmcode/xcdmbot path: /cogs/search.py
import discord
from discord import Colour, Embed
from discord.ext import commands
import requests
import traceback
from bs4 import BeautifulSoup
import json
import re
import brotli
# Scrapes the DDG search results page and returns a list of 5 tuples contain... | code_fim | hard | {
"lang": "python",
"repo": "xcdmcode/xcdmbot",
"path": "/cogs/search.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
#example on how to query your Schema
from sqlalchemy.orm import sessionmaker
session = sessionmaker(bind=engine)()
objs = session.query(Affiliate).all()
print 'All Affiliate objects: %s'%objs<|fim_prefix|># repo: metaperl/freegold-focus path: /saorm-test.py
from sqlalchemy import create_engine
<|fim_m... | code_fim | medium | {
"lang": "python",
"repo": "metaperl/freegold-focus",
"path": "/saorm-test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>engine = create_engine(
'mysql+pymysql://root:m0ney123@localhost/focus',
echo=True
)
#example on how to query your Schema
from sqlalchemy.orm import sessionmaker
session = sessionmaker(bind=engine)()
objs = session.query(Affiliate).all()
print 'All Affiliate objects: %s'%objs<|fim_prefix|># repo... | code_fim | easy | {
"lang": "python",
"repo": "metaperl/freegold-focus",
"path": "/saorm-test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: metaperl/freegold-focus path: /saorm-test.py
from sqlalchemy import create_engine
<|fim_suffix|>engine = create_engine(
'mysql+pymysql://root:m0ney123@localhost/focus',
echo=True
)
#example on how to query your Schema
from sqlalchemy.orm import sessionmaker
session = sessionmaker(bind... | code_fim | easy | {
"lang": "python",
"repo": "metaperl/freegold-focus",
"path": "/saorm-test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sunilsm7/django_resto path: /restaurants/migrations/0005_auto_20170725_1149.py
# -*- coding: utf-8 -*-
# Generated by Django 1.11.3 on 2017-07-25 06:19
from __future__ import unicode_literals
from django.db import migrations
<|fim_suffix|> operations = [
migrations.AlterModelOptions... | code_fim | medium | {
"lang": "python",
"repo": "sunilsm7/django_resto",
"path": "/restaurants/migrations/0005_auto_20170725_1149.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
('restaurants', '0004_auto_20170725_1146'),
]
operations = [
migrations.AlterModelOptions(
name='city',
options={'verbose_name_plural': 'Restaurant City'},
),
migrations.AlterModelOptions(
name='state',
... | code_fim | medium | {
"lang": "python",
"repo": "sunilsm7/django_resto",
"path": "/restaurants/migrations/0005_auto_20170725_1149.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: james4388/noahcar path: /autorc/tests/test_PWM.py
import unittest
import time
from hardware import PCA9685
class PWMCase(unittest.TestCase):
<|fim_suffix|> pwm = PCA9685.PWM()
pwm.frequency = 60
for i in range(16):
time.sleep(0.5)
print('\nChannel... | code_fim | easy | {
"lang": "python",
"repo": "james4388/noahcar",
"path": "/autorc/tests/test_PWM.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_PWM(self):
pwm = PCA9685.PWM()
pwm.frequency = 60
for i in range(16):
time.sleep(0.5)
print('\nChannel %d\n' % i)
time.sleep(0.5)
for j in range(4096):
pwm.write(i, 0, j)
print('PWM value: ... | code_fim | easy | {
"lang": "python",
"repo": "james4388/noahcar",
"path": "/autorc/tests/test_PWM.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # pprint( generator_recipe )
# Parses a USGS mission recipe file and returns a generator useable JSON
def parse_recipe( mission ):
with open( mission + ".json", "r" ) as file:
generator_recipe = {
"mission": "",
"tasks": [],
"output": ""
}
... | code_fim | hard | {
"lang": "python",
"repo": "cschwirian/pds-airflow",
"path": "/ui/flaskui/recipe_to_rest.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cschwirian/pds-airflow path: /ui/flaskui/recipe_to_rest.py
import json
from pprint import pprint
mission = "galileo_ssi_edr"
with open( mission + ".json", "r" ) as file:
generator_recipe = {
"mission": "",
"tasks": [],
"output": "directory"
}
recipe = json.l... | code_fim | hard | {
"lang": "python",
"repo": "cschwirian/pds-airflow",
"path": "/ui/flaskui/recipe_to_rest.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> task.append( parameters )
tasks.append( task )
# print()
# print()
# print( tasks )
generator_recipe["mission"] = mission
generator_recipe["tasks"] = tasks
# pprint( generator_recipe )
# Returns a JSON object useable by the UI
def... | code_fim | hard | {
"lang": "python",
"repo": "cschwirian/pds-airflow",
"path": "/ui/flaskui/recipe_to_rest.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> last_result = None
sql_index = 0
drop_result = {"model": [], "query_set": []}
for sql in sql_list:
sql_index = sql_index + 1
ddl_args = {
"tags": self.tags,
"sql_list": [sql],
"component_type": self.com... | code_fim | hard | {
"lang": "python",
"repo": "Tencent/bk-base",
"path": "/src/api/dataflow/flow/handlers/modeling_controller.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Tencent/bk-base path: /src/api/dataflow/flow/handlers/modeling_controller.py
# -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making BK-BASE 蓝鲸基础平台 available.
Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
BK-BASE 蓝鲸基础平台 is lic... | code_fim | hard | {
"lang": "python",
"repo": "Tencent/bk-base",
"path": "/src/api/dataflow/flow/handlers/modeling_controller.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # if element has one object child use data if exists and object is
# not root class
poss_objs = el.find_all("object", recursive=False)
if len(poss_objs) == 1:
poss_obj = poss_objs[0]
if mf2_classes.root(poss_obj.get('class', [])) == []:
prop_value = get_attr(pos... | code_fim | hard | {
"lang": "python",
"repo": "kevinmarks/mentiontech",
"path": "/mf2py/implied_properties.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kevinmarks/mentiontech path: /mf2py/implied_properties.py
from . import mf2_classes
from .dom_helpers import get_attr
import sys
if sys.version < '3':
from urlparse import urljoin
else:
from urllib.parse import urljoin
def name(el):
"""Find an implied name property
Args:
... | code_fim | hard | {
"lang": "python",
"repo": "kevinmarks/mentiontech",
"path": "/mf2py/implied_properties.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _call_runner(self, path) -> List["MatchError"]:
runner = Runner(self.collection, path)
return runner.run()
def run_playbook(self, playbook_text):
"""Lints received text as a playbook."""
with tempfile.NamedTemporaryFile(mode="w", suffix=".yml", prefix="playbook... | code_fim | hard | {
"lang": "python",
"repo": "andrewimeson/ansible-lint",
"path": "/lib/ansiblelint/testing/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: andrewimeson/ansible-lint path: /lib/ansiblelint/testing/__init__.py
"""Test utils for ansible-lint."""
import os
import shutil
import subprocess
import sys
import tempfile
from typing import TYPE_CHECKING, Dict, List
from ansible import __version__ as ansible_version_str
from ansiblelint.runn... | code_fim | hard | {
"lang": "python",
"repo": "andrewimeson/ansible-lint",
"path": "/lib/ansiblelint/testing/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JaySabido/dl-keras path: /chapter2/sgd-2-min-2.1.4.py
'''
Author: Rowel Atienza
Project: https://github.com/roatienza/dl-keras
Dependency: keras 2.0
Usage: python3 <this file>
'''
<|fim_suffix|>x = np.arange(-2.5, 2.5, 0.1)
c = [1, -0.2, -5, 0, 4]
d = [4, -0.6, -10, 0]
y = np.polyval(c, x)
z = n... | code_fim | medium | {
"lang": "python",
"repo": "JaySabido/dl-keras",
"path": "/chapter2/sgd-2-min-2.1.4.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>x = np.arange(-2.5, 2.5, 0.1)
c = [1, -0.2, -5, 0, 4]
d = [4, -0.6, -10, 0]
y = np.polyval(c, x)
z = np.polyval(d, x)
plt.xlabel('x')
plt.ylabel('y and dy/dx')
plt.plot(x, y, label="y=x^4 -0.2x^3 -5x^2 +4")
plt.plot(x, z, label="dy/dx ymin at x=-1.51 & 1.66")
plt.legend(loc=0)
plt.grid(b=True)
plt.show()
... | code_fim | medium | {
"lang": "python",
"repo": "JaySabido/dl-keras",
"path": "/chapter2/sgd-2-min-2.1.4.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nathanielbaxter/AlienPhaseGateUse path: /GenerateMod.py
# -- This script generates the AlienPhaseGateUse mod.
# Use this python script to regenerate (and then update) the mod
# everytime the "ns2/lua/Alien.lua" file is updated by a new build.
import sys
import os
import re
# Modification consta... | code_fim | hard | {
"lang": "python",
"repo": "nathanielbaxter/AlienPhaseGateUse",
"path": "/GenerateMod.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|># Delete any old Alien.lua file.
if os.path.exists("mod/lua/" + filename):
os.remove("mod/lua/" + filename)
# Delete any old
if os.path.exists("mod/lua" + filename2):
os.remove("mod/lua/" + filename2)
# Open the files to read/write
fread = open(sys.argv[1] + "/" + filename, 'r')
fwrite = open("mod/... | code_fim | hard | {
"lang": "python",
"repo": "nathanielbaxter/AlienPhaseGateUse",
"path": "/GenerateMod.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BirdmanTeamShootingStars/FlightSimulator path: /file_func.py
import pandas as pd
from State import *
def trajectory2df(t_list, state_list, alpha_list):
x_list = []
vx_list = []
y_list = []
vy_list = []
theta_list = []
for state in state_list:
x_list.append(state.x... | code_fim | hard | {
"lang": "python",
"repo": "BirdmanTeamShootingStars/FlightSimulator",
"path": "/file_func.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> df = pd.read_csv(file_path)
t_list = df['t'].values
alpha_list = df['alpha'].values
state_list = []
for i in range(len(t_list)):
state_list.append(State(df['x'].values[i], df['vx'].values[i],
df['y'].values[i], df['vy'].values[i],
... | code_fim | hard | {
"lang": "python",
"repo": "BirdmanTeamShootingStars/FlightSimulator",
"path": "/file_func.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@mark.parametrize(
"launcher_name, overrides",
[
(
"basic",
[
"hydra/sweeper=basic",
"hydra.sweeper.max_batch_size=2",
],
)
],
)
class TestBasicSweeperWithBatching(BatchedSweeperTestSuite):
...<|fim_prefix... | code_fim | hard | {
"lang": "python",
"repo": "facebookresearch/hydra",
"path": "/tests/test_basic_launcher.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: facebookresearch/hydra path: /tests/test_basic_launcher.py
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from pytest import mark, param
from hydra.test_utils.launcher_common_tests import (
BatchedSweeperTestSuite,
IntegrationTestSuite,
LauncherTestSuite,
)
... | code_fim | hard | {
"lang": "python",
"repo": "facebookresearch/hydra",
"path": "/tests/test_basic_launcher.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.y + pilka_wys >= display_height or self.y <= 0:
self.kat = -self.kat
def czy_przegrana(self, liczba_graczy, myfont, lose_sound, win_sound, gameDisplay):
if self.x + pilka_sze >= display_width:
pg.mixer.music.pause()
# gameDisplay.fill(white... | code_fim | hard | {
"lang": "python",
"repo": "mmazurek/gra_python",
"path": "/classpong.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> mouse = pg.mouse.get_pos()
if self.x < mouse[0] < self.x + self.szerokosc and self.y < mouse[1] < self.y + self.wysokosc:
pg.draw.rect(gameDisplay, self.col_active,
(self.x, self.y, self.szerokosc, self.wysokosc))
label = myfont_button.rend... | code_fim | hard | {
"lang": "python",
"repo": "mmazurek/gra_python",
"path": "/classpong.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mmazurek/gra_python path: /classpong.py
import pygame as pg
import math
import random
import time
display_width = 800
display_height = 600
black = (0, 0, 0)
white = (255, 255, 255)
red = (255, 0, 0)
green = (0, 255, 0)
kolor_active = (35, 21, 71)
kolor_inactive = (17, 13, 29)
pilka_wys = 40
p... | code_fim | hard | {
"lang": "python",
"repo": "mmazurek/gra_python",
"path": "/classpong.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> parser = argparse.ArgumentParser(description='Deploying Unets for Probability Mapping')
parser.set_defaults(func=lambda _: parser.print_help())
parser.add_argument(
'--img_file',
required=True,
help='Local image file'
)
parser.add_argument(
... | code_fim | medium | {
"lang": "python",
"repo": "aplbrain/saber",
"path": "/saber/xbrain/unets/deploy_unet_docker.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aplbrain/saber path: /saber/xbrain/unets/deploy_unet_docker.py
"""
Copyright 2018 The Johns Hopkins University Applied Physics Laboratory.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the ... | code_fim | hard | {
"lang": "python",
"repo": "aplbrain/saber",
"path": "/saber/xbrain/unets/deploy_unet_docker.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Generate SQL DB disabled TDE event.
Arguments:
com (dict): SQL DB record `com` bucket
ext (dict): SQL DB record `ext` bucket
Returns:
dict: An event record representing SQL DB with disabled TDE
"""
friendly_cloud_type = util.friendly_string(com.get('cloud_t... | code_fim | hard | {
"lang": "python",
"repo": "TinLe/cloudmarker",
"path": "/cloudmarker/events/azsqldatabasetdeevent.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TinLe/cloudmarker path: /cloudmarker/events/azsqldatabasetdeevent.py
"""Microsoft Azure SQL DB Transparent Data Encryption (TDE) event.
This module defines the :class:`AzSQLDatabaseTDEEvent` class that
identifies if a SQL database has TDE disabled . This plugin works on the
SQL DB properties fou... | code_fim | hard | {
"lang": "python",
"repo": "TinLe/cloudmarker",
"path": "/cloudmarker/events/azsqldatabasetdeevent.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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