seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
72531926909 | # pylint: disable=redefined-outer-name
# pylint: disable=unused-argument
# pylint: disable=unused-variable
import os
import shutil
from pathlib import Path
from typing import Callable
import pytest
import yaml
@pytest.fixture
def tmp_compose_spec(tests_data_dir: Path, tmp_path: Path):
src = tests_data_dir / "doc... | ITISFoundation/osparc-simcore | packages/service-integration/tests/test_command_config.py | test_command_config.py | py | 1,231 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "shutil.copyfile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "typing.Callable",
... |
15304075993 | from sklearn import model_selection
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
from sklearn.linear_model import LogisticRegression
from sklearn.tree import DecisionTreeClassifier
from sklearn.neighbors import KNeighborsClassi... | tunir27/ICDCN-2019 | Chennai_Floods_code/ML.py | ML.py | py | 2,819 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection",
"line_number": 34,
"usage_type": "name"
},
{
"... |
3240628422 | from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.response import Response
from entrepreneur.models import Usuario
from authentication.serializers import UserListSerializers, UserSerializer
@api_view(['GET', 'POST'])
def user_api_view(request):
# lista los usuari... | DevApa/auth_em | register/api.py | api.py | py | 2,157 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "entrepreneur.models.Usuario.objects.filter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "entrepreneur.models.Usuario.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "entrepreneur.models.Usuario",
"line_number": 12,
"usa... |
2737490777 | import wikipedia
import pyfiglet
word = pyfiglet.figlet_format("KAREN")
print(word)
while True:
engine=input ("Search: ")
def my_summary():
summ=wikipedia.summary(engine)
return summ
val = my_summary()
print(val)
| Shuklabrother/Search-engine.py | Index.py | Index.py | py | 272 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyfiglet.figlet_format",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "wikipedia.summary",
"line_number": 11,
"usage_type": "call"
}
] |
33138124964 | #mass import
import pandas as pd
import urllib.request
import json
import numpy as np
import matplotlib.pyplot as plt
from datetime import datetime, timedelta
from sklearn.cluster import KMeans
pd.options.display.max_rows = 999
#for getting the date 5 days ago
daydif = str(datetime.today() - timedelta(days=5))
dayref ... | nicr0ss/RainDance | KMeans_model.py | KMeans_model.py | py | 3,524 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.options",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.today",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "datetime... |
19581541837 | import textract
import re
import os
import requests
from bs4 import BeautifulSoup
import time
import random
# ===================================== get paper url =====================================
urls = [
'https://sj.ctu.edu.vn/ql/docgia/nam-2015/loaichuyensan-2/xuatban-782.html',
'https://sj.ctu.edu.vn/q... | oldguard69/lvtn | server/core/archive/crawl_data_1.py | crawl_data_1.py | py | 3,229 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "random.randint",
"lin... |
8870924854 | from collections import deque
import sys
while True:
try:
a=str(input('Input final configuration: '))
N=int(a.replace(' ',''))
if ((N>87654321)|(N<12345678)):
raise ValueError('Incorrect configuration, giving up...')
break
except ValueError:
print('Incorrect configuration, giving up...')
sys.exit()
... | hanxuwu/Learning-Python | Principles of Programming/Assignment/Assignment1/ASS question2.files/rubiks_rectangle.py | rubiks_rectangle.py | py | 5,218 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "sys.exit",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 110,
"usage_type": "call"
}
] |
35154021664 | import json
import os
import cherrypy
from jinja2 import Environment, FileSystemLoader
# GET CURRENT DIRECTORY
from helper import get_redis_connection, get_sorted_list
from scrapper import main1
CUR_DIR = os.path.dirname(os.path.abspath(__file__))
env = Environment(loader=FileSystemLoader(CUR_DIR), trim_blocks=True)... | jayanthns/bseproect | run.py | run.py | py | 1,974 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "jinja2.Environment",
... |
70808003389 | from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing.image import ImageDataGenerator
import numpy as np
import cv2
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
model = load_model("/home/yash/Desktop/PyImageSearch/checkpoints/emotion1.h5")
classifier = cv2.CascadeClassi... | theartificialguy/Deep-Learning-Projects | Emotion and Gender Classification/Emotion Classification/recognition.py | recognition.py | py | 1,841 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.preprocessing.image.ImageDataGenerator",
"line_number": 15,
"usag... |
27673629381 | import numpy as np
import math
import cv2
#input hsvColor:[h,s,v], ranges between (0-180, 0-255, 0-255)
#and output true hsvColor:[h,s,v]
def get_right_V(hsvColor):
h = float(hsvColor[0])
s = float(hsvColor[1])
s1 = float(hsvColor[1])/255
v1 = float(hsvColor[2])
h60 = h / 60.0
h60f ... | zznewclear13/Gradient_Colorizing_Fix | Gradient_Colorzing_Fix.py | Gradient_Colorzing_Fix.py | py | 1,205 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.floor",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_numb... |
26693866815 | import torch
import logging
from tqdm import tqdm
from schnetpack.src.schnetpack import properties
__all__ = ["TorchStructureLBFGS"]
class TorchStructureLBFGS(torch.optim.LBFGS):
"""
LBFGS optimizer that allows for relaxation of multiple structures in parallel. The approximation of the inverse
hessian is... | maltefranke/solubility_prediction | schnetpack/src/schnetpack/interfaces/batchwise_optimizer.py | batchwise_optimizer.py | py | 5,582 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.optim",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "schnetpack.src.schnetpack.properties.R",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "schnetpack.src.schnetpack.properties",
"line_number": 32,
"usage_type": "name... |
13015171086 | import pickle
import torch
import argparse
from foresight.models import *
from foresight.pruners import *
from foresight.dataset import *
from foresight.weight_initializers import init_net
def get_num_classes(args):
return 100 if args.dataset == 'cifar100' else 10 if args.dataset == 'cifar10' else 120
def parse_... | SamsungLabs/zero-cost-nas | nasbench2_pred.py | nasbench2_pred.py | py | 4,715 | python | en | code | 137 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "torch.cu... |
9001276762 | from time import time
from gurobipy import Model
class MDSP:
def __init__(self, d: list, filename: str, optimize=False, time_limit=3600):
self.D = d
self.B = sum(d)
self.k = len(self.D)
self.D_ = self.get_unique_distances()
self.M = self.get_mult()
self.P = list(ra... | cleberoli/mdsp | model/mdsp.py | mdsp.py | py | 1,706 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "gurobipy.Model",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 28,
"usage_type": "call"
}
] |
41295805453 | import pygame
from pygame.locals import *
import numpy as np
from conway import Life
class GameOfLife(Life):
def __init__(self, width = 1600, height = 1000, cell_size = 5, speed = 10):
Life.__init__(self, width // 10, height // 10)
self.width = width
self.height = height
self.cell_s... | hatiff/GameLife | Life.py | Life.py | py | 2,437 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "conway.Life",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "conway.Life.__init__",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "conway.Life",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pygame.display.set_mode",
... |
25867921082 | #import libraries
import pandas as pd
import numpy as np
import bokeh
from bokeh.plotting import figure, output_file, show
from bokeh.models.tools import HoverTool
from bokeh.core.properties import value
from bokeh.models import ColumnDataSource, FactorRange
from bokeh.plotting import figure
import math
from bokeh.... | Fremont28/miami_flights- | flights_viz1.py | flights_viz1.py | py | 12,432 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",... |
75189166908 | import pygame, threading
pygame.init()
white = (255, 255, 255)
green = (0, 255, 0)
blue = (0, 0, 128)
X = 400
Y = 400
display_surface = pygame.display.set_mode((X, Y ))
pygame.display.set_caption('Show Text')
font = pygame.font.Font('freesansbold.ttf', 32)
text = font.render('GeeksForGeeks', True, green, blue) ... | ger534/Proyecto2Arqui2 | examplePygame.py | examplePygame.py | py | 779 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.display... |
73025036669 | from enum import Enum
from typing import List
import sqlalchemy as sa
from sqlalchemy import orm as so
from .base import BaseMixin, db, IdentityMixin, TimestampMixin
__all__ = ['Chat', 'ChatEntry']
class Chat(BaseMixin, IdentityMixin, TimestampMixin, db.Model):
"""Chat Model.
Represents a chat conversatio... | sergeyklay/promptly | backend/promptly/models/chat.py | chat.py | py | 2,313 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "base.BaseMixin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "base.IdentityMixin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "base.TimestampMixin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "base.db.Model",... |
73674519546 | '''This script contains the functions used to contruct and train the GAN.'''
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import os
import tensorflow as tf
# Change the environment variable TF_CPP_MIN_LOG_LEVEL to 2 to avoid the orderbooks about the compilation of the CUDA code
os.environ['TF... | DanieleMDiNosse/GAN_Anomaly_Detection | train.py | train.py | py | 17,245 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logging.CRITICAL",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "logging.... |
17372597106 | # LinearlyVariableInfill
"""
Linearly Variable Infill for 3D prints.
Author: Barnabas Nemeth
Version: 1.5
"""
from ..Script import Script
from UM.Logger import Logger
from UM.Application import Application
import re #To perform the search
from cura.Settings.ExtruderManager import ExtruderManager
from collections imp... | vaxbarn/LinearlyVariableInfill | LinearlyVariableInfill.py | LinearlyVariableInfill.py | py | 21,725 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "UM.i18n.i18nCatalog",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "enu... |
72492708988 | import pytest
from pytest_persistence import plugin
plg = plugin.Plugin()
@pytest.mark.parametrize("scope", ["session", "package", "module", "class", "function"])
@pytest.mark.parametrize("result", ["result", 42])
def test_store_fixture(result, scope):
fixture_id = ('fixture1', scope, 'tests/test_mock.py')
... | JaurbanRH/pytest-persistence | tests/test_unit.py | test_unit.py | py | 1,367 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pytest_persistence.plugin.Plugin",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pytest_persistence.plugin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 8,
"usage_type": "call"
},
{
"a... |
12702052399 | """
To render html web pages
"""
import random
from django.http import HttpResponse
from django.template.loader import render_to_string
from articles.models import Article
def home_view(request, id=None, *args, **kwargs):
"""
Take in a request (Django send request)
return HTML as a response
(We pic... | L1verly/djproject-private | djproject/views.py | views.py | py | 832 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.randint",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "articles.models.Article.objects.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "articles.models.Article.objects",
"line_number": 22,
"usage_type": "attribute"
},
... |
34097968081 | #!/usr/bin/python
import curses
import sys
import RPi.GPIO as GPIO
def main(stdscr):
# do not wait for input when calling getch
stdscr.nodelay(1)
initGPIO()
while True:
# get keyboard input, returns -1 if none available
c = stdscr.getch()
if c != -1:
# print numer... | tophsic/gpio | one_led_controled_by_s.py | one_led_controled_by_s.py | py | 914 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "RPi.GPIO.cleanup",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "sys.exit",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO.setmode",
"line_numbe... |
41584638888 | """Celery를 사용하는 예제"""
import random
import time
from os import path
from urllib import parse
import requests
from celery import Celery
from pydub import AudioSegment
from my_logging import get_my_logger
logger = get_my_logger(__name__)
# 크롤링 요청 간격 리스트 정의
RANDOM_SLEEP_TIMES = [x * 0.1 for x in range(10, 4... | JSJeong-me/2021-K-Digital-Training | Web_Crawling/python-crawler/chapter_5/crawler_with_celery_sample.py | crawler_with_celery_sample.py | py | 5,058 | python | ko | code | 7 | github-code | 6 | [
{
"api_name": "my_logging.get_my_logger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "celery.Celery",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "urllib.p... |
32756126137 | # !/usr/bin/python
import os
import sys
# Logging configuration
import logging
class logger(logging.Logger):
def __init__(self):
"""Initializer."""
super().__init__()
logging.basicConfig(filename="errlog.log",
filemode="a",
format="(%(asctime)s)... | MohdFarag/Musical-Instruments-Equalizer | src/logger.py | logger.py | py | 478 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.Logger",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.environ",
... |
42591021729 | import os
import numpy as np
import pickle
import argparse
from implicit.bpr import BayesianPersonalizedRanking
from implicit.nearest_neighbours import CosineRecommender
from scipy.sparse import csr_matrix
from methods import consul, oracle, PrivateRank, PrivateWalk
np.random.seed(0)
def recall(li, gt):
if gt... | joisino/consul | evaluate.py | evaluate.py | py | 8,347 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.log2",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.bincount",
"... |
5153764381 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import sklearn
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import confusion_matrix, classification_report
import xlsxwriter
#Reading the file into the system
file1 = ... | Royston2708/Loan_Defaulter_Project | Models/Decision Trees and Random Forrest.py | Decision Trees and Random Forrest.py | py | 2,138 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.RandomForestClassifier",
"line_number": 21,
"usage_type": "call... |
24883752413 | from django.conf.urls import patterns, include, url
urlpatterns = patterns('',
url(r'^$', 'informes.views.home', name='i_home'),
url(r'^pendientes/$', 'informes.views.informes_pendientes', name='i_pend'),
url(r'^arreglados/$', 'informes.views.informes_arreglados', name='i_fixed'),
url(r'^noarreglados/... | efylan/ccreservas | informes/urls.py | urls.py | py | 592 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "djan... |
26023698980 | import matplotlib.pyplot as plt
import numpy as np
#plot 1
x=np.arange(-8,8,0.1)
y=x**3
plt.subplot(2,2,1)
plt.plot(x,y)
plt.title("plot 1")
#plot 2
x=np.linspace(0,3*np.pi,400)
y=x/(1+(x**4)*(np.sin(x))**2)
plt.subplot(2,2,2)
plt.plot(x,y)
plt.title("plot 2")
#plot 3
x=np.linspace(1,10,400)
y=np.sin(1/(x**(1/2)))
p... | suanhaitech/pythonstudy2023 | Wangwenbin/Matplotlib4.py | Matplotlib4.py | py | 492 | python | uk | code | 2 | github-code | 6 | [
{
"api_name": "numpy.arange",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pypl... |
36733301943 | import re
import json
from collections import defaultdict
def file_paths(file_path= 'logs_2/postcts.log1'):
with open(file_path, 'r') as file:
file_data = file.read()
return file_data
def parse_log_file():
file_contents = file_paths()
# Compile regex patterns for improved ... | DavidJose2000/Log_parse | Zpharse.py | Zpharse.py | py | 6,755 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.DOTALL",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": ... |
6794457250 | from __future__ import annotations
import typing
from dataclasses import dataclass
from anchorpy.borsh_extension import EnumForCodegen
import borsh_construct as borsh
class UninitializedJSON(typing.TypedDict):
kind: typing.Literal["Uninitialized"]
class ActiveJSON(typing.TypedDict):
kind: typing.Literal["Ac... | Ellipsis-Labs/phoenixpy | phoenix/types/market_status.py | market_status.py | py | 4,121 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "typing.TypedDict",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "typing.Literal",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "typing.TypedDict",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "typing.... |
5897258860 | import pickle
import numpy as np
from flask import Flask, request, jsonify
# Load the pickled model
with open('model.pkl', 'rb') as file:
model = pickle.load(file)
app = Flask(__name__)
# Endpoint for making predictions
@app.route('/predict', methods=['POST'])
def predict():
try:
data = request.get_j... | mdalamin706688/copd-ml-model | app.py | app.py | py | 1,327 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pickle.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request",
"lin... |
38336203002 | #!/usr/bin/python
from websocket import create_connection
import unittest
from common import read_info
from common import read_message
from common import check_action as c
import time
import json
class websocket_request(unittest.TestCase):
"""32. 安装脚本"""
def setUp(self):
rt=read_info.ReadInfo()
... | leen0910/websocket_api | websocket_api/test_case/test10_InstallScript.py | test10_InstallScript.py | py | 2,199 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "common.read_info.ReadInfo",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "common.read_info",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "web... |
10691788495 | import logging
from sentry.client.handlers import SentryHandler
logger = logging.getLogger()
# ensure we havent already registered the handler
if SentryHandler not in map(lambda x: x.__class__, logger.handlers):
logger.addHandler(SentryHandler(logging.WARNING))
# Add StreamHandler to sentry's default so y... | 8planes/langolab | django/web/sentry_logger.py | sentry_logger.py | py | 475 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sentry.client.handlers.SentryHandler",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "sentry.client.handlers.SentryHandler",
"line_number": 7,
"usage_type": "call"
},
... |
3885504768 | from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from django.utils.html import mark_safe
from rooms.models import Room
from .models import User
# admin.ModelAdmin을 상속받는 경우
# @admin.register(User)
# class CustomUserAdmin(admin.ModelAdmin):
# """ Custom User Admin """
# list_di... | Odreystella/Pinkbnb | users/admin.py | admin.py | py | 1,838 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.admin.TabularInline",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "rooms.models.Room",
"line_number": 23,
"usage_type": "name"
},
{
"ap... |
11844211331 | from flask import Flask, render_template, request
from mbta_helper import find_stop_near
app = Flask(__name__, template_folder="templates")
@app.route("/")
def index():
"""
This function asks for the user's location
"""
return render_template("index.html")
@app.route("/POST/nearest", methods=["POST... | nandini363/Assignment-3 | app.py | app.py | py | 917 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "flask.requ... |
18002323535 | from hydra import compose, initialize
import logging
import torch
from torch.utils.tensorboard import SummaryWriter
from data.dataset import get_dex_dataloader
from trainer import Trainer
from utils.global_utils import log_loss_summary, add_dict
from omegaconf import OmegaConf
from omegaconf.omegaconf import open_dict... | PKU-EPIC/UniDexGrasp | dexgrasp_generation/network/train.py | train.py | py | 4,171 | python | en | code | 63 | github-code | 6 | [
{
"api_name": "os.makedirs",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "omegaconf.omegaconf.open_dict",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tor... |
34465917082 | import torch
from torch.utils.data import DataLoader
from .coco_dataset import build_dataset
def batch_collator(batch):
images, boxmgrs = list(zip(*batch))
images = torch.stack(images, dim=0)
return images, boxmgrs
def build_dataloader(cfg, is_train=True):
dataset = build_dataset(cfg, is_train=is_t... | lmyybh/computer-vision | yolo/yolo/data/dataloader.py | dataloader.py | py | 558 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.stack",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "coco_dataset.build_dataset",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 20,
"usage_type": "call"
}
] |
12483191239 | # reference: J. P. Tignol
# "Galois Thoery of Algebraic Equations" chapter 12
import numpy as np
from sympy import factorint,root,expand
class Period:# Gaussian periods
@classmethod
def init(cls,p):# p must be prime
n = p-1
g = 2 # generator mod p
f = factorint(n)
... | tt-nakamura/cyclo | cyclo.py | cyclo.py | py | 5,447 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sympy.factorint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "numpy.empty",
"line_nu... |
35160550288 | from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
from django.contrib import messages
from django.db.models import Q
from .models import Employee
from .forms import AddEmployeeForm
@login_required(login_url='authapp:login')
def index(request):
context = dict(... | somukhan9/django-employee-management-system | employee/views.py | views.py | py | 3,206 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.Employee.objects.all",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.Employee.objects",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "models.Employee",
"line_number": 13,
"usage_type": "name"
},
{
"api_name... |
41039585752 | import logging
import random
import string
import time
import sys
from decimal import Decimal
from typing import Any, Callable, Optional, TypeVar, Union
import requests
from vega_sim.grpc.client import VegaCoreClient, VegaTradingDataClientV2
from vega_sim.proto.data_node.api.v2.trading_data_pb2 import GetVegaTimeReque... | vegaprotocol/vega-market-sim | vega_sim/api/helpers.py | helpers.py | py | 6,261 | python | en | code | 19 | github-code | 6 | [
{
"api_name": "typing.TypeVar",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "random.choices",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "string.ascii_lowercas... |
15018597005 | from utils.utils import OS
import sys
if OS.Linux:
import matplotlib
matplotlib.use("agg")
import json
import math
import multiprocessing
import random
from multiprocessing import Pool
from threading import Thread
from typing import Union, Callable
from uuid import UUID
import networkx
from Model.Computatio... | Moni5656/npba | Model/ModelFacade.py | ModelFacade.py | py | 30,489 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "utils.utils.OS.Linux",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "utils.utils.OS",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "matplotlib.use",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "Model.Network.Ne... |
3955950488 | # -*- coding: utf-8 -*-
"""check cache status
* check cache status
* this file uses standalone
"""
import sys
import os
import json
import time
import subprocess
import configparser
from glob import glob
from state_list import get_error_message, DONE
config = configparser.ConfigParser()
config.read("conf... | Neilsaw/PriLog_web | watchdog_status.py | watchdog_status.py | py | 4,426 | python | en | code | 30 | github-code | 6 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path.getctime",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
38867577492 | from inspect import signature
from functools import wraps
import werdsazxc
from platforms.config import CODE_DICT as config
import json
import threading
import inspect
import pickle
import time
import requests
import logging
import re
logger = logging.getLogger('robot')
requests.packages.urllib3.disable_warnings()
ale... | gleam542/platforms | platforms/wg/utils.py | utils.py | py | 16,213 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.packages.urllib3.disable_warnings",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.packages",
"line_number": 14,
"usage_type": "attribute"
},
{
... |
35560642063 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib
from mayavi import mlab
from scipy.ndimage import map_coordinates
from scipy import signal, interpolate
from PIL import Image, ImageDraw
from matplotlib.colors import ListedColormap
from tqdm import tqdm, trange
def create_block_diagram(strat, prop, ... | zsylvester/stratigraph | stratigraph/stratigraph.py | stratigraph.py | py | 50,938 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "numpy.shape",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_numbe... |
11557761416 | import sys
from classes import *
import pprint
import os
# system keword 에 대한 dfa를 자동생성한다.
def make_system_dfa(name, keyword):
digit = "1234567890"
char = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
length = len(keyword)
dfa = Dfa(name)
dfa.set_final_states([length])
for i in range... | pula39/compiler_assignment1 | lexical.py | lexical.py | py | 8,178 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.splitext",
"line_number": 184,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 184,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 193,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_numb... |
1999311786 | import os
from enum import Enum, auto
from random import randint
import pygame
class Main:
@staticmethod
def start():
pygame.font.init()
os.environ['SDL_VIDEO_WINDOW_POS'] = "%d,%d" % (400, 100)
surface = pygame.display.set_mode((1200, 900))
pygame.display.set_caption('Mineswe... | MaximCosta/messy-pypi | messy_pypi/done/main_minesweeper.py | main_minesweeper.py | py | 7,807 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pygame.font.init",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_... |
34098196022 | import uvicorn
from pyroute2 import IPRoute
from fastapi import FastAPI
ipr = IPRoute()
ipr.bind()
app = FastAPI()
@app.get("/iface/{iface_name}")
async def iface_id(iface_name):
with IPRoute() as ipr:
iface = ipr.link_lookup(ifname=iface_name)
return {"iface": iface[0]}
| andreagarbugli/iaac-tc-quic | tc-daemon/router.py | router.py | py | 293 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pyroute2.IPRoute",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyroute2.IPRoute",
"line_number": 14,
"usage_type": "call"
}
] |
33040837881 | import io
import struct
from typing import Any, BinaryIO
class StructStream(int):
PACK = ""
"""
Create a class that can parse and stream itself based on a struct.pack template string.
"""
def __new__(cls: Any, value: int):
value = int(value)
try:
v1 = struct.unpack(cl... | snight1983/chia-rosechain | chia/util/struct_stream.py | struct_stream.py | py | 1,440 | python | en | code | 369 | github-code | 36 | [
{
"api_name": "typing.Any",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "struct.unpack",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "struct.pack",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "struct.calcsize",
"line_numb... |
6198323090 | '''
1.입력받은 문자의 길이별 + 문자별 조건식?
2.BruteForce니까 로직만 짜서 1씩 증가? <- 이래도 되는게 가장 큰 수 해봐야 5^5임 시간초과는 안날걸
2번으로 진행해보도록 하고, 로직은 어떻게 하느냐가 문제일듯
'''
from itertools import product
def solution(word):
answer = []
for i in range(1,6):
for v in product(["A","E","I","O","U"],repeat = i):
answer.append("".join(v... | byeong-chang/Baekjoon-programmers | 프로그래머스/lv2/84512. 모음 사전/모음 사전.py | 모음 사전.py | py | 518 | python | ko | code | 2 | github-code | 36 | [
{
"api_name": "itertools.product",
"line_number": 10,
"usage_type": "call"
}
] |
14007737341 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
from torchvision import datasets, transforms
from torchvision.utils import save_image
import matplotlib.pyplot as plt
import numpy as np
import random
class AutoEncoderNet(torch.nn.Module):
def __init__(self, n_channels, dim_last... | s183920/02582_Computational_Data_Analysis_Case2 | autoencoder/ae.py | ae.py | py | 1,937 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.prod",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn.Sequential",
"line... |
39908117264 | from AWSIoTPythonSDK.MQTTLib import AWSIoTMQTTClient
import logging
import time
import argparse
import json
import ast
AllowedActions = ['both', 'publish', 'subscribe']
file_path = "../History.log"
faults = []
fault_type = ""
# Read in command-line parameters
parser = argparse.ArgumentParser()
parser.add_argument("-e... | ngonza27/ctp-ngv-23 | src/py/send_data.py | send_data.py | py | 5,270 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name": "logging.... |
22382283158 | import shutil
import tempfile
from django.contrib.auth import get_user_model
from django.test import Client, TestCase, override_settings
from django.urls import reverse
from django import forms
from django.conf import settings
from django.core.files.uploadedfile import SimpleUploadedFile
from django.core.cache import ... | krankir/Social-network | yatube/posts/tests/test_views.py | test_views.py | py | 12,656 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tempfile.mktemp",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.BASE_DIR",
"line_number": 17,
"usage_type": "attribute"
},
{
... |
73507098983 | from django import forms
from .Config import EffectType
class ChooseEffectRadioForm(forms.Form):
def __init__(self, effect_type, effect_label, *args, **kwargs):
super(ChooseEffectRadioForm, self).__init__(*args, **kwargs)
self.fields["pref-effect"] = forms.BooleanField(label=effect_label,... | gwolan/pic_convolving_website | upload_pic/src/ChooseEffectRadioForm.py | ChooseEffectRadioForm.py | py | 932 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.forms.Form",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.forms.BooleanField",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.for... |
73256078825 | # add CBAM注意力机制模块
import torch
from torch import nn
class ChannelAttention(nn.Module):
def __init__(self, channel, ratio=16):
super(ChannelAttention, self).__init__()
self.max_pool = nn.AdaptiveMaxPool2d(1)
self.avg_pool = nn.AdaptiveAvgPool2d(1)
self.fc = nn.Sequen... | DickensKP/Yolov3-vehicle-pedestrian-trafficsign-detection-system | CBAM.py | CBAM.py | py | 2,002 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.AdaptiveMaxPool2d",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn",
... |
17887863275 | """
集成了流式布局、按钮排布的窗口。
"""
from PySide2.QtWidgets import QScrollArea, QWidget, QToolButton, QVBoxLayout, QSpacerItem, QSizePolicy
from PySide2.QtCore import Qt, QSize
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from PySide2.QtGui import QResizeEvent
from widgets import PMFlowLayout
class PMFlowAreaWidge... | pyminer/pyminer | pyminer/widgets/widgets/basic/containers/flowarea.py | flowarea.py | py | 2,813 | python | en | code | 77 | github-code | 36 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PySide2.QtWidgets.QWidget",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PySide2.QtWidgets.QVBoxLayout",
"line_number": 18,
"usage_type": "call"
},
{
"api_n... |
21993890104 | from typing import List
from unittest import TestCase
import torch
from torch import Tensor
from attnganw import config
from attnganw.randomutils import get_vector_interpolation
class TestInterpolation(TestCase):
def test_get_noise_interpolation(self):
batch_size = 1
noise_vector_size = 3
... | cptanalatriste/birds-of-british-empire | tests/test_train.py | test_train.py | py | 2,304 | python | en | code | null | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.randn",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.float",
"line_nu... |
33245288481 | #!/usr/bin/env python
import rospy
import matplotlib.pyplot as plt
import matplotlib.animation
import numpy as np
from ti_mmwave_rospkg.msg import RadarScan
class MySimpleClass(object):
def __init__(self):
self.sub = rospy.Subscriber('/ti_mmwave/radar_scan',RadarScan,self.sub_callback)
self.tmp_x ... | YiShan8787/mm-2sensor | src/micro_doppler_pkg/scripts/test3.py | test3.py | py | 1,420 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rospy.Subscriber",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "ti_mmwave_rospkg.msg.RadarScan",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "numpy.c_",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "ros... |
6798077511 | import logging
from django.core.management.base import BaseCommand
from django.core.exceptions import ObjectDoesNotExist
from embed_video.backends import detect_backend
from ...clients import VimeoClient
from ...models import Resource
from ...conf import settings
logger = logging.getLogger('vimeo')
class Command(... | tomasgarzon/exo-services | service-exo-medialibrary/resource/management/commands/import_vimeo_resources.py | import_vimeo_resources.py | py | 5,577 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "clients.VimeoClient",
"line_number": 18,
"usage_type": "call"
},
{
"api... |
32975944321 | #Scripts for the search
import mysql.connector
import json
class carrier():
Name = ""
Email = ""
Location = []
class seller():
Firstname = ""
Surname = ""
Email = ""
Graduate = False
Location = ""
Products = []
class product():
menteeName = ""
menteeGraduate = F... | Team-14-CodeForGood2014/Cherie-Blair-Foundation-Marketplace | Django/cbfm/searchEngine/scripts.py | scripts.py | py | 6,321 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 86,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 86,
"usage_type": "name"
},
{
"... |
11352228515 | import os
clear = lambda : os.system('cls')
import datetime
from time import process_time_ns
x = datetime.datetime.now()
ulang = "y"
while ulang=="y" or ulang=="Y":
kodeGolongan = [1,2,3]
gajiPokok = [2500000, 4500000, 6500000]
tunjanganIstri = [0.01, 0.03, 0.05]
kodeJK =[1,2]
JK = ['... | 20083000169RianHudaMaulana/Uas- | UAS_20083000169_Rian Huda Maulana_2G.py | UAS_20083000169_Rian Huda Maulana_2G.py | py | 8,062 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.system",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "attribute"
}
] |
74605387945 | from petalo_calib.tdc_corrections import correct_tfine_wrap_around
from petalo_calib.qdc_corrections import correct_efine_wrap_around
from petalo_calib.tdc_corrections import apply_tdc_correction_tot
from petalo_calib.tdc_corrections import compute_integration_window_size
from petalo_calib.tdc_corrections import add_... | jmbenlloch/petalo_calib | petalo_calib/scripts/process_files_tot_new_clusters.py | process_files_tot_new_clusters.py | py | 4,761 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.concatenate",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_num... |
42887542436 | from collections import OrderedDict
class Cache:
"""
A python class which used ordered dictionary (OrderedDict) to implement the LRU cache.
Each entry of the dictinoary will be a key/value pair. The search would be
by key. LRU Cache will have its maximum size defined at initiation. When adding
n... | harsimrit/task1 | cacheLRU.py | cacheLRU.py | py | 4,971 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.OrderedDict",
"line_number": 29,
"usage_type": "call"
}
] |
21333304207 | import unittest
from climateeconomics.sos_processes.iam.witness.witness_coarse.usecase_witness_coarse_new import Study
from sostrades_core.execution_engine.execution_engine import ExecutionEngine
from tempfile import gettempdir
from copy import deepcopy
from gemseo.utils.compare_data_manager_tooling import delete_keys_... | os-climate/witness-core | climateeconomics/tests/_l1_test_witness_parallel.py | _l1_test_witness_parallel.py | py | 4,198 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "tempfile.gettempdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sostrades_core.execution_engine.execution_engine.ExecutionEngine",
"line_number": 17,
"usage_t... |
43157370954 | #!/usr/bin/python3
import sys, pygame
from pygame.locals import *
black = (0, 0, 0)
white = (255,255,255)
red = (255,0,0)
green = (0, 255, 0)
blue = (0, 0, 255)
pygame.init()
pygame.display.set_caption("drawing") # set the title of the window
surface = pygame.display.set_mode((400, 300)) # return pygame.Surface
su... | minskeyguo/mylib | python-edu/17-pygame-basic/02-geometry.py | 02-geometry.py | py | 1,223 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_caption",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pygame.dis... |
34547412730 |
from PIL import Image
import cv2
# 選擇第二隻攝影機
cap = cv2.VideoCapture(0)
while(True):
# 從攝影機擷取一張影像
ret, frame = cap.read()
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
edges = cv2.Canny(frame, 100 , 200)
# img_fc, contours, hierarchy = cv2.findContours(edges, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE... | Amenoimi/Simple_OCR | QR_GET.py | QR_GET.py | py | 1,322 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "cv2.Canny",
... |
73642772264 | # -----------------------------------------------------------
# --------- Assignment 4 - PCA analysis with Python ------------------
# -----------------------------------------------------------
# Author: Tomas Milla-Koch
# Purpose: The following script is script for clipping a scene to vector boundary and performing... | tomasmk/Remote-Sensing-Automation | PCA.py | PCA.py | py | 4,658 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "os.getcwd",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
... |
71116093224 | from common.httphandler import HttpHander
from common.yml_util import YmlUtil
import pytest, json
http = HttpHander()
YmlUt = YmlUtil()
class TestCaseSingle:
def get_case_all(self, case_data, url_map, header):
if case_data.get("method") == 'get':
resp = http.get(url=url_map, headers=header)
... | itol220/testapi | testcases/test_single.py | test_single.py | py | 1,385 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "common.httphandler.HttpHander",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "common.yml_util.YmlUtil",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 25,
"usage_type": "call"
},
{
"api_n... |
25321444319 | import pandas as pd
from glob import glob
from datetime import datetime
import os
def removeDups(file):
df = pd.read_excel(file)
# Keep only FIRST record from set of duplicates
df_first_record = df.drop_duplicates(subset="Date/Time", keep="first")
#creates an excel file with sorted times
if glob("n... | OliverSolomon/flaskExcel | reporter.py | reporter.py | py | 3,444 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_excel",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_num... |
17704956797 | import numpy as np
from PyQt5.QtWidgets import QWidget, QApplication, QVBoxLayout
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg
from matplotlib.figure import Figure
from SO3 import SO3
from rotation import Ui_Form
class My_window(QWidget, Ui_Form):
def __init__(self, parent=None, *args, **kwa... | rollingball-3/Learning-rotation | main.py | main.py | py | 2,586 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "rotation.Ui_Form",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "SO3.SO3",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.figure.Fi... |
40243436461 | """
Beautify Images Utils
"""
import random
import operator
import heapq
import math
from scipy.interpolate import UnivariateSpline
import cv2
import pilgram
from PIL import Image, ImageStat
import numpy as np
from src.utils.image_process import (
do_we_need_to_sharpen,
sharpen_my_image,
adjust_contrast... | teyang-lau/you-only-edit-once | src/utils/beautify.py | beautify.py | py | 6,911 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "random.choice",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "heapq.nlargest",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "heapq.nlargest",
... |
75091410342 | import tensorflow as tf
from transformers import GPT2Tokenizer, TFGPT2LMHeadModel
import wikipediaapi
# Set up Wikipedia API
wiki = wikipediaapi.Wikipedia('en')
# Set up tokenizer and model
tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
model = TFGPT2LMHeadModel.from_pretrained('gpt2', pad_token_id=tokenizer.eos_t... | ethan-haynes/test | train.py | train.py | py | 2,291 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "wikipediaapi.Wikipedia",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "transformers.GPT2Tokenizer.from_pretrained",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "transformers.GPT2Tokenizer",
"line_number": 9,
"usage_type": "name"
},
... |
27653523771 | import time
import utilities.custom_logger as cl
import logging
from base.basepage import BasePage
from base.selenium_driver import SeleniumDriver
class Register_courses_page(BasePage):
log = cl.customLogger(logging.DEBUG)
#Locators
_search_box_id = "search-courses"
_course_xpath = "/html/body/div... | akanksha2306/selenium_python_practice | pages/courses/register_courses_page.py | register_courses_page.py | py | 3,129 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "base.basepage.BasePage",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "utilities.custom_logger.customLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "utilities.custom_logger",
"line_number": 11,
"usage_type": "name"
},
{
... |
70168571944 | import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0,10,100)
y = []
up_limit = 0.8
for i in x:
if i < 6:
y.append(0)
elif i < 9:
y.append((i-6)/3 * up_limit)
else:
y.append(up_limit)
plt.plot(x,y)
plt.show() | CryptoGamer8/INFO6205-FINAL | Model/main/draw.py | draw.py | py | 264 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "numpy.linspace",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyp... |
8640307873 | """Extract hourly real-time EIA data from the bulk-download zip file."""
import pandas as pd
import json
from os.path import join
import os
import zipfile
import requests
import logging
from electricitylci.globals import data_dir
def download_EBA():
"""Add docstring."""
url = 'http://api.eia.gov/bulk/EBA.zip... | USEPA/ElectricityLCI | electricitylci/bulk_eia_data.py | bulk_eia_data.py | py | 5,340 | python | en | code | 23 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "electricitylci.globals.data_dir... |
7630680769 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('inicio', '0006_auto_20160820_2050'),
]
operations = [
migrations.CreateModel(
name='cargo',
fields=[... | juanjavierlimachi/sistema-de-Informacion | mipagina/mipagina/apps/inicio/migrations/0007_auto_20160820_2141.py | 0007_auto_20160820_2141.py | py | 1,065 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
13790256283 | #!/usr/bin/env python
import rbd
import rados
import json
import subprocess
from itertools import chain
from texttable import Texttable, get_color_string, bcolors
def f(x):
if x=="quota_max_bytes":
return str(pool[x]/1024/1024)
else:
return str(pool[x])
p = subprocess.check_output('ceph osd du... | angapov/ceph-scripts | ceph.py | ceph.py | py | 2,086 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "subprocess.check_output",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "texttable.Texttable",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "texttable.get_... |
15616400542 | from typing import Dict
from tools.coco_dataset_metrics import COCODatasetMetrics
from tools.tools import load_json_data
from detectron2_metrics import TrainingMetrics, InferenceMetrics
def load_annotations(annotation_paths: Dict):
"""
Load annotations from path and assign them to corresponding key.
:par... | Mathiasn21/household_object_detection | code/plot_metrics.py | plot_metrics.py | py | 2,100 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.Dict",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "tools.tools.load_json_data",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tools.coco_dataset_metrics.COCODatasetMetrics",
"line_number": 49,
"usage_type": "call"
},
{
... |
74950126185 | #!/usr/bin/env python
# coding: utf-8
# In[45]:
# Choquet adaptive thresholding: two step algorithm
import progressbar
from time import sleep
import math
import cv2
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import PIL
from skimage import measure
from pynverse import inver... | lodeguns/FuzzyAdaptiveBinarization | fuzzy_adaptive_bin.py | fuzzy_adaptive_bin.py | py | 36,527 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sys.warnoptions",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "warnings.simplefilter",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "mat... |
24390099064 | import re
from . import builder, cc, msvc
from .. import log, shell
from .common import choose_builder, guess_command, make_command_converter
from ..languages import known_langs
with known_langs.make('rc') as x:
x.vars(compiler='RC', flags='RCFLAGS')
x.exts(source=['.rc'])
_c_to_rc = make_command_converter([... | jimporter/bfg9000 | bfg9000/tools/rc.py | rc.py | py | 1,858 | python | en | code | 73 | github-code | 36 | [
{
"api_name": "languages.known_langs.make",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "languages.known_langs",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "common.make_command_converter",
"line_number": 12,
"usage_type": "call"
},
{
"api_... |
13744203488 | import glob
import os
import requests
import time
import sys
import numpy as np
import pandas as pd
from pandas.core.frame import DataFrame
from geocoding_api_extract.utils.progress import Progress
def create_geocoding_api_request_str(street, city, state,
benchmark='Public_AR_Ce... | AndoKalrisian/geocoding_api_extract | src/geocoding_api_extract/__init__.py | __init__.py | py | 9,005 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line... |
31063677025 |
from ..utils import Object
class LoginUrlInfoRequestConfirmation(Object):
"""
An authorization confirmation dialog needs to be shown to the user
Attributes:
ID (:obj:`str`): ``LoginUrlInfoRequestConfirmation``
Args:
url (:obj:`str`):
An HTTP URL to be opened
d... | iTeam-co/pytglib | pytglib/api/types/login_url_info_request_confirmation.py | login_url_info_request_confirmation.py | py | 1,365 | python | en | code | 20 | github-code | 36 | [
{
"api_name": "utils.Object",
"line_number": 6,
"usage_type": "name"
}
] |
39845550652 | """
Iguana (c) by Marc Ammon, Moritz Fickenscher, Lukas Fridolin,
Michael Gunselmann, Katrin Raab, Christian Strate
Iguana is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License.
You should have received a copy of the license along with this
work. If not, see <http://creativecommons.org... | midas66/iguana | src/timelog/validators.py | validators.py | py | 1,138 | python | en | code | null | github-code | 36 | [
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "django.utils.timezone.now",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 21,
"usage_type": "name"
},
{
"api_name":... |
31867884735 | from setuptools import setup, find_packages
from os import path
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
version = {}
with open(path.join(here, "sonocrop", "__version__.p... | davycro/sonocrop | setup.py | setup.py | py | 1,442 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "os.path.abspath",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number"... |
70585542504 | ##
# 邮件自动推送 -- 20191105 created by terrell
# 配置相关变量
# 设置主题、正文等信息
# 添加附件
# 登录、发送#
import time
import os
import smtplib
import email
import datetime
import sys
import traceback
from email.mime.application import MIMEApplication
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
year = in... | yudongjian/remember_word_tkinter | sent_mailToLeo.py | sent_mailToLeo.py | py | 2,257 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "da... |
12486383692 | '''
Created on Jan 29, 2020
@author: Michal.Busta at gmail.com
'''
import numpy as np
import neptune
class Meter:
'''A meter to keep track of losses scores throughout an epoch'''
def __init__(self, phase, epoch, use_neptune=False, log_interval = 100, total_batches = 100):
self.metrics = {}
self.r... | drivendataorg/open-cities-ai-challenge | 3rd Place/meter.py | meter.py | py | 1,744 | python | en | code | 113 | github-code | 36 | [
{
"api_name": "numpy.mean",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "neptune.log_metric",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_numbe... |
70585526504 | import sys, copy
from udp_interface import udp_interface
import numpy as np
import os
# from ppo.run import train
# from baselines.common import tf_util as U
from utils.action_filter import ActionFilterButter
from utils.reference_generator import ReferenceMotionGenerator
from collections import deque
from utils.utilit... | yichen928/RSR_Goalkeeper | src/rl_control/env.py | env.py | py | 18,624 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.ndarray",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarra... |
27435770961 | import os
import pathlib
from matplotlib import pyplot as plt
from skimage import io, img_as_float
from skimage.color import rgb2gray
from skimage.filters.edges import sobel
from skimage.segmentation import felzenszwalb, watershed, mark_boundaries, slic, quickshift
def read_boundaries(_img):
# Read image
_i... | 206081/psio | Lab3/zad3.py | zad3.py | py | 2,134 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "skimage.io.imread",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "skimage.io",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "skimage.img_as_float",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.f... |
38232459709 | """
获取csdn用户资料
"""
import sys
import json
sys.path.append(r'D:\github\python\python-spider')
from csdnTest import *
#1.链接本地数据库服务
name = MongoClient('localhost')
#2.链接本地数据库 demo 没有会创建
db = name.demo #demo数据库名
# 3.创建，连接集合
emp = db.employees # employees集合名
user = db.csdn_users # page集合名
# 爬取‘前端’模块
category = 'web'
... | guosimin/python-spider | csdnTest/getUser.py | getUser.py | py | 2,266 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 39,
"usage_type": "call"
}
] |
33164677249 | """
2019
La Brachistochrone Réelle
Un TIPE réalisé par Gautier BEN AÏM
http://tobog.ga
"""
import numpy as np
#
# I. Calculs physiques
# ======================
#
def generer_lign... | GauBen/Toboggan | toboggan.py | toboggan.py | py | 14,074 | python | fr | code | 1 | github-code | 36 | [
{
"api_name": "numpy.random.randint",
"line_number": 114,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 114,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randint",
"line_number": 115,
"usage_type": "call"
},
{
"api_name": "numpy.... |
10328382240 | from django.shortcuts import render,redirect,get_object_or_404
from django.http import HttpResponse
from .models import Item,Category
import datetime
# Create your views here.
def index(request):
tasks = Item.objects.all()
categories = Category.objects.all()
context = {"task_list" : tasks,
... | FazalJarral/Notetaker | todo/views.py | views.py | py | 1,004 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "models.Item.objects.all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Item.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "models.Item",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "models.Cate... |
4409217473 | from time import sleep
import requests
class AntiCaptcha:
def __init__(self, client_key):
self.base_url = "https://api.anti-captcha.com/"
self.headers = {"Content-Type": "Application/json"}
self.client_key = client_key
def _post(self, endpoint: str, data: object):
"""Make requ... | ShayBox/AntiCaptcha | anticaptcha/main.py | main.py | py | 2,693 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "requests.post",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 75,
"usage_type": "call"
}
] |
1398892267 | from flask import Flask,render_template
from time import time
class Blockchain:
def __init__(self):
self.transactions = []
self.chain = []
self.create_block(0, '00')
def create_block(self, nonce, previous_hash):
block = {
'block_number': len(self.chain)+1,
... | Thilagavathycse/Block-Chain-learnings | blockchain.py | blockchain.py | py | 687 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 29,
"usage_type": "call"
}
] |
38877688552 | import pandas as pd
import numpy as np
# For preprocessing the data
from sklearn.preprocessing import Imputer
from sklearn import preprocessing
# To split the dataset into train and test datasets
from sklearn.cross_validation import train_test_split
# To model the Gaussian Navie Bayes classifier
from sklearn.naive_baye... | XecureBot/DeepikaDS | data.py | data.py | py | 2,534 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.cross_validation.train_test_split",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "sklearn.naive_bayes.GaussianNB",
"line_number": 54,
"usage_type": "call"
},
... |
21011472446 | import os
from pytest import raises
from pydantic.error_wrappers import ValidationError
from pathlib import Path
from unittest import TestCase
from lazy_env_configurator import BaseConfig, BaseEnv
from lazy_env_configurator.custom_warnings import EnvWarning
class TestInvalidEnv(TestCase):
def test_eager_validati... | satyamsoni2211/lazy_env_configurator | tests/test_eager_validation.py | test_eager_validation.py | py | 1,131 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pytest.raises",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pydantic.error_wrappers.ValidationError",
"line_number": 13,
"usage_type": "argument"
},
{
"api_n... |
8596743224 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
""" Extract persistent network by removing ephemeral links and adding missing links.
Two filters:
1. at least 100 daily views for target video
2. the mean daily views of source video is at least 1% of the target video
Usage: python extract_persistent_network.py
Input data... | avalanchesiqi/networked-popularity | wrangling/extract_persistent_network.py | extract_persistent_network.py | py | 4,496 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
27687264440 | from WGF import GameWindow, AssetsLoader, shared
from os.path import join
import logging
log = logging.getLogger(__name__)
SETTINGS_PATH = join(".", "settings.toml")
LEADERBOARD_PATH = join(".", "leaderboard.json")
LB_LIMIT = 5
def load_leaderboard():
if getattr(shared, "leaderboard", None) is None:
fr... | moonburnt/WeirdLand | Game/main.py | main.py | py | 4,372 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "WGF.shared",
"line_numbe... |
21928404743 | # css selector 활용 크롤링
'''
# css란?
Cascading Style Sheets
html로 잡힌 골격에 스타일링(색, 크기 등)을 하는 것
스타일의 이름으로 구조가 특정지어질 수 있음(css selector)
CSS selector
- 웹 구성 시 CSS Selector을 직접 활용해 이름을 붙혀 만들기 때문에 CSS Selector로 찾아질 가능성이 높다
- Element Type 방식
태그 값들이 selector의 기준이 된다
- ID 방식
태그 내 id 값이 존재하면 id값이 selector의 기준이 된다
- Class 방식
태그 ... | sh95fit/Python_study | Python_Crawling/Crawling_Static/Static_Study06.py | Static_Study06.py | py | 1,717 | python | ko | code | 1 | github-code | 36 | [
{
"api_name": "collections.Callable",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "collections.abc",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "bs4.Beaut... |
4932293353 | from transformers import GPT2Tokenizer
import json
import matplotlib.pyplot as plt
## This file was used to find the length of our longest input in tokens and visualize the distribution of token length
with open('./combined_data.jsonl', 'r') as json_file:
json_list = list(json_file)
tokenizer = GPT2Tokenizer.f... | brennanem/CS324FinalProject | check_tokens.py | check_tokens.py | py | 958 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "transformers.GPT2Tokenizer.from_pretrained",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "transformers.GPT2Tokenizer",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 18,
"usage_type": "call"
},
{
"... |
1767000003 | from setuptools import setup, find_packages
REQUIREMENTS = []
with open("requirements.txt") as f:
for line in f.readlines():
line = line.strip()
if len(line) == 0:
continue
REQUIREMENTS.append(line)
setup(
name = "wallstreet",
version = "0.1",
packages = find_packag... | breakhearts/wallstreet | setup.py | setup.py | py | 605 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "setuptools.setup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 14,
"usage_type": "call"
}
] |
41076521456 |
from PyQt5.QtWidgets import QDialog, QDialogButtonBox, QVBoxLayout, QLabel
class AlertDialogClass(QDialog):
"""
This class load the help dialog pyqt component
"""
def __init__(self, title, message, parent=None):
"""
Confirm dialog class constructor
:param parent:
"""... | samuelterra22/Analysis-of-antenna-coverage | src/main/python/dialogs/alert_dialog_class.py | alert_dialog_class.py | py | 855 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QDialog.__init__",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 16,
"usage_type": "name"
},
{
"a... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.