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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
24539747408 | # Author : Catveloper
# Problem : https://www.acmicpc.net/problem/10866
# 01/06 15:03
import sys
from collections import deque
def input():
return sys.stdin.readline().rstrip()
N = int(input())
arr = input()
oper = '+-*/'
dic = {}
stack = []
d = deque()
for i in range(N):
d.append(int(input()))
for i in arr:
... | CheolheeLee0/Algorithm | Queue,Stack,Deck/후위표기식2_dic,deque,and,fstring.py | 후위표기식2_dic,deque,and,fstring.py | py | 820 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.stdin.readline",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 15,
"usage_type": "call"
}
] |
22804092152 | import matplotlib.pyplot as plt
from Agl_m_v01 import sestavMaticiVzdalenosti, nactiDataDoPole
import numpy as np
def najdiNejvzdalenejsiBod(matice, bod):
'''
metoda pro nalezeni nejvzdalenejsiho bodu od daneho bodu
:param matice: matice vzdalenosti
:param bod: bod, ke kteremu hledam nejv... | Fiiila/ZSUR_Semestralni_Prace | Maximin.py | Maximin.py | py | 5,438 | python | cs | code | 0 | github-code | 7 | [
{
"api_name": "numpy.shape",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "numpy.inf",
"line_number": 73... |
29611863453 | from pathlib import Path
from typing import TYPE_CHECKING
from jsonpickle import dumps, loads
if TYPE_CHECKING:
from .models.game import Game
__all__ = [
'SAVE_FILE',
'save_game',
'load_game',
'save_exists'
]
SAVE_FILE = Path('savedata.json')
def save_exists() -> bool:
return SAVE_FILE.exi... | sharkbound/jacktextadventure | textgame/save.py | save.py | py | 527 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "jsonpickle.loads",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "jsonpickle.dumps",
... |
39281547271 | import logging
import numpy as np
from cn.ivker.ogeek.util.Dict import Dict
logger = logging.getLogger("Array")
class Array:
@staticmethod
def extract(data, selected):
"""
按selected从data中取出相应的数据
:param data:
:param selected:
:return:
"""
if len(select... | ivker/OGeek | cn/ivker/ogeek/util/Array.py | Array.py | py | 2,401 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "cn.ivker.ogeek.util.Dict.D... |
14267398765 | # pylint: disable=missing-module-docstring,missing-class-docstring, missing-function-docstring
import uuid
import json
import random
import pytest
from django.urls import reverse
from .models import LearningMaterial
URL_GET_ALL = reverse('get-all-materials')
@pytest.mark.django_db
def test_get_materials_exists(cl... | sopermaf/polyglossa | learning_materials/tests.py | tests.py | py | 2,103 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.urls.reverse",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "models.LearningMaterial.CERFLevel",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_n... |
9171255544 | import pygame
import os
import random
import sys
def load_image(name, colorkey=None):
fullname = os.path.join('data', name)
try:
image = pygame.image.load(fullname)
if colorkey is not None:
if colorkey is -1:
colorkey = image.get_at((0, 0))
image.set_col... | Aniyar/Trumpy-Grumpy | trumpy grumpy/helper_functions.py | helper_functions.py | py | 1,093 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_nu... |
30975107033 | import collections
import json
import matplotlib.pyplot as plt
filename = "test.json"
f = open(filename, 'r')
data = json.load(f)
f.close()
ndata = collections.OrderedDict(sorted(data['n'].items()))
n_vals = ndata.keys()
t_vals = []
temp_tvals = []
for key in n_vals:
for element in ndata[key]:
temp_t... | meehande/MatrixFactorizationRecommender | plot_test_results.py | plot_test_results.py | py | 562 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "json.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "matplotlib.py... |
29319737468 | """
This script is checking the availability of investment gin, and sending emails
to specified recipients whenever it'S availability changes.
"""
import os
import smtplib
import ssl
from typing import List
import requests
from bs4 import BeautifulSoup
page = "https://www.lepsinalada.cz/gin/hvozd-gin/"
class_to... | grdddj/My-codebase | Python/Webpage Checker/check.py | check.py | py | 3,244 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.dirname",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"lin... |
9013196470 | from django.shortcuts import get_object_or_404, render
from django.http import HttpResponse, Http404
from django.template import loader
from .models import Article
def get_article_content(request, id):
try:
article = get_object_or_404(Article, id=id)
article_html_string = loader.render_to_string(... | gadjetron/webnotes_blog | content_browser/views.py | views.py | py | 1,951 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.Article",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "django.template.loader.render_to_string",
"line_number": 11,
"usage_type": "call"
... |
41243907603 | import statistics
import time
import dlib
from detectors.feature_detector import *
from detectors.keypoint_detector import *
def calibrate():
keypoints = []
calibration_points = []
capture = cv2.VideoCapture(0, cv2.CAP_DSHOW)
i = 0
while (i < 4):
_, input = capture.read() # used _ to i... | isysterov990/gaze-controlled-computer | gui/calibration.py | calibration.py | py | 4,273 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "statistics.mean",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "statistics.mean",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "dlib.get_frontal_face_dete... |
41617806834 | from collections import defaultdict
A , B =map(int,input().split())
A_list=defaultdict(list)
B_list=[]
for index in range(1,A+1):
A_list[input()].append(index)
for index in range(1,B+1):
B_list.append(input())
for x in B_list :
if x in A_list :
print(*A_list.get(x))
else :
pr... | m3y3ah/python | HackerRank/DefaultDict_Tutorial.py | DefaultDict_Tutorial.py | py | 429 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.defaultdict",
"line_number": 3,
"usage_type": "call"
}
] |
30925562614 | from settings.get_settings import join_strings, check_if_exists_or_write, SETTINGS
import datetime
table_location = join_strings(
SETTINGS["paths"]["latex"]["latex_path"], SETTINGS["paths"]["latex"]["table_path"])
CUBES = check_if_exists_or_write(
SETTINGS["paths"]["cube_json"], base=SETTINGS["paths"]["parent_p... | AadvikVashist/Titan_Limb_Fitting | fitting_code/paper_generation/data_to_latex_table.py | data_to_latex_table.py | py | 8,757 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "settings.get_settings.join_strings",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "settings.get_settings.SETTINGS",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "settings.get_settings.check_if_exists_or_write",
"line_number": 5,
"usage... |
19485678660 | #!/usr/bin/python
# -*- coding:utf-8 -*-
import sys
import os
picdir = os.path.join(os.path.dirname(os.path.dirname(os.path.realpath(__file__))), 'pic')
libdir = os.path.join(os.path.dirname(os.path.dirname(os.path.realpath(__file__))), 'lib')
if os.path.exists(libdir):
sys.path.append(libdir)
import logging
from ... | rgodragon/ADIO | Audiobook-shelf-master/Raspberry Pi/etc/epd4_test.py | epd4_test.py | py | 5,444 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.join",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.realpath",
"line_n... |
24733637166 | import argparse
import numpy as np
import onnxruntime
import torch
from scipy.io.wavfile import write
import commons
import utils
from text import text_to_sequence
def get_text(text, hps):
text_norm = text_to_sequence(text, hps.data.text_cleaners)
if hps.data.add_blank:
text_norm = commons.intersper... | p0p4k/vits2_pytorch | infer_onnx.py | infer_onnx.py | py | 1,824 | python | en | code | 338 | github-code | 7 | [
{
"api_name": "text.text_to_sequence",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "commons.intersperse",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.LongTensor",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "argparse.A... |
27035499811 | from datetime import datetime as dt
import openpyxl
from openpyxl.utils import get_column_letter
from openpyxl.utils.cell import (column_index_from_string,
coordinate_from_string)
# заполнить вручную
file_name = 'Приложение 1__(2).xlsx' #название файла
sheet_name = 'Волгоградский 32 ко... | PavelShabanov/exc | py-exc.py | py-exc.py | py | 7,644 | python | ru | code | 0 | github-code | 7 | [
{
"api_name": "openpyxl.utils.cell.coordinate_from_string",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "openpyxl.utils.cell.column_index_from_string",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "openpyxl.utils.cell.coordinate_from_string",
"line_nu... |
4511548720 | from django.shortcuts import render, get_object_or_404, redirect
from django.utils import timezone
from .models import Post
from .forms import PostForm
#위에서 .은 현재 디렉토리를 의미함
# Create your views here.
# view는 어플리케이션의 로직을 넣는 곳이다.
# 각 함수 하나하나를 각각 view라고 하는 듯.
# urls.py에 있는 view의 이름과 일치해야 함. 근데 둘 중에 뭐랑 일치해야 하는거지?
def pos... | HyesuBae/my-first-blog | blog/views.py | views.py | py | 1,998 | python | ko | code | 0 | github-code | 7 | [
{
"api_name": "models.Post.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.Post.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "models.Post",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.s... |
1909877558 | import glob
import os
import re
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from scipy.optimize import curve_fit
from scipy import constants
mpl.rcParams['figure.dpi'] = 100
mpl.rcParams['font.size'] = 14
mpl.rcParams['savefig.dpi'] = 300
mpl.rcParams['l... | vishniakou/device-analysis | mobility_extraction.py | mobility_extraction.py | py | 8,199 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_na... |
35086137196 | import matplotlib.pyplot as plt
x=[-5,-4,-3,-2,-1,0,1,2,3,4,5]
y=[27,17,9,3,1,0,1,3,9,17,27]
plt.plot(x, y, color = "b" )
plt.title("$y=x^2-x-3$ Grafiği")
plt.xlabel("x ekseni")
plt.ylabel("y ekseni")
plt.show() | OsmanYavuz-web/PythonOdev2 | 3/B.py | B.py | py | 214 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplot... |
72960858142 | import matplotlib.pyplot as plt
colrs = {
'green': (0.39,0.73,0.42,0.5),
'grey': (1, 1, 1, 0.6),
'grey_trans': (1, 1, 1, 0.25),
'grey_super_trans': (1,1,1, 0.05),
'dark': "#121212"
}
assumption = {
'max_value_x' : 1000, ## Hours of music
'text_size': 8
}
def gen_plot(x=10.24,y=5.76, dpi=... | jay-chau/spotify | plotting.py | plotting.py | py | 1,184 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.axes",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "mat... |
9419163348 | from tqdm import tqdm
from glob import glob
from os import remove as remove_file
from ults import run_query,get_query_s3_location,update_query_dbname,BATCH_SIZE
from more_itertools import chunked
EXOGENOUS_DIR = "mimiciii/out/exogenous/"
EXOGENOUS_DATAPOINTS_SQL = "mimiciii/in/exogenous_datapoints.SQL"
EXOGENOUS_DATA... | AdamBanham/ICPM2021 | mimiciii/steps/exogenous.py | exogenous.py | py | 2,088 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "ults.get_query_s3_location",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "ults.update_query_dbname",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "ults.update_query_dbname",
"line_number": 20,
"usage_type": "call"
},
{
"api_... |
12788920878 | import config
import psutil
import datetime
import os
import re
from mailer import Mailer
from .exceptions import ConfigurationException
import math
class BackupManager:
def __init__(self,
file_size_unit: str = None,
backup_increase: float = None,
pg_host: str = ... | MatthewAllDev/PostgreSQL_backup_and_telegram_notification | backup_manager/backup_manager.py | backup_manager.py | py | 8,636 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "config.FILE_SIZE_UNIT",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "config.BACKUP_INCREASE",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "config.PG_HOST",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_na... |
23609061150 | from tqdm import tqdm
import geocoder
from twitter_demographer.components import Component
import logging
from twitter_demographer.components import not_null
import time
class NominatimDecoder(Component):
"""
Wrappers on the geocoder API to disambiguate users' locations using nominatim from open street map
... | arafat877/twitter-demographer | twitter_demographer/geolocation/nominatim.py | nominatim.py | py | 1,668 | python | en | code | null | github-code | 7 | [
{
"api_name": "twitter_demographer.components.Component",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "logging.StreamHandler",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "logging.ERROR",
"line_number": 27,
"usage_type": "attribute"
},
{
"... |
36992628905 | import youtube_dl
def getVid(link):
ydl = youtube_dl.YoutubeDL({'outtmpl': '%(id)s%(ext)s'})
with ydl:
result = ydl.extract_info(
link,
download=False # We just want to extract the info
)
if 'entries' in result:
# Can be a playlist or a list of videos
... | EllisK-L/Django-Youtube-Downloader | YoutubeDownloader/downloader/utils.py | utils.py | py | 572 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "youtube_dl.YoutubeDL",
"line_number": 5,
"usage_type": "call"
}
] |
42485937091 | import json
import logging
import mimetypes
import os
import requests
from six.moves.urllib.parse import urljoin
CAPTIONBOT_API = 'https://www.captionbot.ai/api/'
logger = logging.getLogger('imgcaption')
class API(object):
def __init__(self):
self.session = requests.Session()
self.watermark = ''... | DeanF/imgcaption | imgcaption/imgcaption.py | imgcaption.py | py | 2,032 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.Session",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "six.moves.urllib.parse.urljoin",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "jso... |
22556474913 | # -*- coding: utf-8 -*-
# __author__ = "yw"
"""
# Serializers用于定义API的表现形式，如：返回那些字段、返回怎样的格式等。
# 这里序列化Django自带的User和Group。
# 创建数据序列化
"""
# from django.contrib.auth.models import User,Group
from rest_framework import serializers
from api.models import User,Group
class UserSerializer(serializers.HyperlinkedModelSerializer... | heuje/django_restful | api/serializers.py | serializers.py | py | 641 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rest_framework.serializers.HyperlinkedModelSerializer",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "api.models.User",
"line_number": 14,
"usage_type": ... |
70183755745 | import MySQLdb
from MySQLdb.connections import Connection
from MySQLdb.cursors import Cursor # pip install mysqlclient~=2.0.3
import contextlib
from typing import (
ContextManager,
)
@contextlib.contextmanager
def connection(*args, **kwargs) -> ContextManager[Connection]:
conn = MySQLdb.connect(*args, **kwarg... | Dudeldel/KardioApp | api/db_connector.py | db_connector.py | py | 710 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "MySQLdb.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "contextlib.contextmanager",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "typing.ContextManager",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "... |
31411013559 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import requests
from time import time
from jsonpath import jsonpath
from pythonProject.common.handle_conf import conf
from pythonProject.common.handle_sign import Handle_sign
class Base_class:
base_url = conf.get('env', 'base_url')
@classmethod
def admin_lo... | wdj-hmm/pythonlearn | pythonProject/testcases/fixture.py | fixture.py | py | 3,256 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pythonProject.common.handle_conf.conf.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pythonProject.common.handle_conf.conf",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pythonProject.common.handle_conf.conf.get",
"line_number": 20... |
22343712048 | """
Created on Sun Apr 10 17:54:35 2016
Author: Felipe M. Vieira
Description:
Assignment 03
"""
import os
import pandas as pd # version '0.18.0'
import seaborn # version '0.7.0'
import matplotlib.pyplot as plt # version'1.3.1'
import numpy as np
from project_library import DATASETS_PATH
# reads the input file... | fmv1992/data_analysis_and_interpretation_specialization | 01_data_management_and_visualization/03_assignment/03_assignment.py | 03_assignment.py | py | 1,349 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "project_library.DATASETS_PATH",
"line_number": 23,
"usage_type": "argument"
},
{
"api_name": "os.pat... |
41270336845 | from multiprocessing import Process, Queue
import cv2
import numpy as np
import requests
import polyline
import json
import time
import pyclipper
class NavigationEvent:
def __init__(self, txt, coordinates, is_drawable, is_viewable, is_turn):
self.text_command = txt
self.event_coordinates = coordin... | the1adi/ANDE | main.py | main.py | py | 31,581 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.sqrt",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.square",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": ... |
16066772049 | # -*- coding: utf-8 -*-
import csv
import sys
import time
import random
import copy
import math
import os
import numpy as np
import os.path as pt
from skimage import io
from skimage import transform as tr
from argparse import ArgumentParser
from chainer import cuda
sys.path.append(os.getcwd())
from src.lib.model impo... | funalab/QCANet | src/tools/test_nsn.py | test_nsn.py | py | 9,391 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "sys.path.append",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_nu... |
15857463058 | # -*- coding: utf-8 -*-
import torch
import os
import logging
from transformers import AdamW, get_linear_schedule_with_warmup
from torch.utils.data import TensorDataset, DataLoader, RandomSampler
def start_from_pretrained(pre_mdl_path, model):
cp_mdl = BertModel.from_pretrained(pre_mdl_path)
a, b = model.s... | kids/bert_nlu | train.py | train.py | py | 3,585 | python | en | code | 8 | github-code | 7 | [
{
"api_name": "os.path.exists",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.optim.SGD",
"line_n... |
1537565419 | import os.path
import os
import re
import time
import requests
from requests_html import HTMLSession
from bs4 import BeautifulSoup
from dotenv import load_dotenv
dotenv_path = '../../.env'
load_dotenv(dotenv_path)
userName = os.environ.get("userName")
userName = str(userName)
with open('/home/' + userName + '/Discor... | JesseObvious/DiscordProject | PythonPlex/SourceCode/fileSizeCheck.py | fileSizeCheck.py | py | 1,658 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "re.sub",
"line_... |
14782095149 | # import modules here
import pygame
import os
from random import randint
import pygame.draw_py
# Initializing imgs
img = "img"
# load Logo
logo_img = pygame.image.load(os.path.join(img, "Logo.png"))
# Load Dino
dino_img1 = pygame.image.load(os.path.join(img, "dino", "frame1.png"))
dino_img2 = pygame.image.load(os.... | mbalboni25/dino | main.py | main.py | py | 20,914 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pygame.image.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_... |
26868883993 | import logging
from typing import Any, MutableMapping, Optional
from cloudformation_cli_python_lib import (
Action,
HandlerErrorCode,
OperationStatus,
ProgressEvent,
Resource,
SessionProxy,
)
from datadog_api_client.v1 import ApiException
from datadog_api_client.v1.api import downtimes_api
from... | DataDog/datadog-cloudformation-resources | datadog-monitors-downtime-handler/src/datadog_monitors_downtime/handlers.py | handlers.py | py | 8,531 | python | en | code | 47 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "cloudformation_cli_python_lib.Resource",
"line_number": 27,
"usage_type": "call"
},
{
"api_n... |
4392263357 | # -*- coding: utf-8 -*-
from torch import nn, Tensor
from abc import ABC, abstractmethod
from typing import Tuple, Optional, List
import logging
logger = logging.getLogger(__name__)
class BaseLatentFeatureModel(nn.Module, ABC):
def __init__(self) -> None:
super().__init__()
@abstractmethod
d... | uclnlp/ctp | ctp/models/base.py | base.py | py | 1,078 | python | en | code | 49 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "abc.ABC",
"line_n... |
3527562860 | from datetime import datetime
from os import mkdir
from pathlib import Path
import pandas as pd
import pytest
from freezegun import freeze_time
from noisy_stocks_data_orchestrator.customdatastructures import (
CorrDatabaseQuery,
StockTimeSeries,
)
"""
Single source of truth for fixtures across tests
"""
# Sc... | KevinFocke/noisy_stocks_data_orchestrator | tests/conftest.py | conftest.py | py | 14,025 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "pytest.fixture",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.NaT",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "noisy_stocks_dat... |
72868331422 | import struct
import numpy as np
import sys, os
import argparse
cv_type_to_dtype = {
5: np.dtype('float32')
}
dtype_to_cv_type = {v: k for k, v in cv_type_to_dtype.items()}
def write_mat(f, m):
"""Write mat m to file f"""
if len(m.shape) == 1:
rows = m.shape[0]
cols = 1
else:
... | Ascend/ModelZoo-PyTorch | PyTorch/dev/cv/image_classification/ArcFace_ID0852_for_PyTorch/eval_deepglint_merge.py | eval_deepglint_merge.py | py | 2,347 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "numpy.dtype",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "struct.pack",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "struct.unpack",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.fromstring",
"line_num... |
6696199994 | from PyQt5.QtCore import (
QAbstractItemModel,
QModelIndex,
Qt,
QVariant
)
from PyQt5.QtWidgets import QApplication, QTreeView
class TreeItem(object):
def __init__(self, content, parentItem):
self.content = content
self.parentItem = parentItem
self.childItems = []
def appe... | cnc-club/dxf2gcode | python_examples/treewidget.py | treewidget.py | py | 3,322 | python | en | code | 12 | github-code | 7 | [
{
"api_name": "PyQt5.QtCore.QVariant",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.QVariant",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.QAbstractItemModel",
"line_number": 42,
"usage_type": "name"
},
{
"api_n... |
39667217954 | # Here you'll find things that are useful but
# have more specific utilities
import numpy as np
import copy
import torch
from torch.utils.data import Dataset
from torch.utils.data import DataLoader
####################################
######## Useful functions ##########
####################################
def se... | RichieHakim/tensor_regression | util.py | util.py | py | 3,855 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "numpy.unique",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
... |
34278505135 | from flask import Flask, request, jsonify
app = Flask(__name__)
@app.route('/', methods=['POST'])
def calc_fibo_json():
num = request.form['num']
try:
num = int(num)
except:
return jsonify({
"error": "Not a number",
}), 400
return jsonify({
"input": num,
... | kapong/flask101 | 03_fibonacci_post.py | 03_fibonacci_post.py | py | 537 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "flask.jsonify",
"l... |
12237990050 | from django.http import JsonResponse,HttpResponse
from django.shortcuts import render,redirect
from web.forms.project import ProjectMdoelForm
from web import models
from utils.tencent.cos import create_bucket
import time
def project_list(request):
if request.method=='GET':
"""
从数据库获取两部分数据
我创... | xihanghang/blog_project | web/views/project_list.py | project_list.py | py | 3,274 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "web.models.Project.objects.filter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "web.models.Project",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "web.models",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "... |
9622196388 | '''
将原始数据划分为训练样本和测试样本
'''
import argparse
import os
import cv2
from tqdm import tqdm
import random
import math
import numpy as np
import shutil
def mkdir_dir(path):
if not os.path.exists(path):
os.makedirs(path)
def mkdir_dir_(path):
if not os.path.exists(path):
os.makedirs(path)
else:
... | qinggangwu/date_process | contain_cha_region_det/split_train_test_imgs.py | split_train_test_imgs.py | py | 2,996 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "os.path.exists",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_nu... |
33461775311 | #coding: utf8
import sys
from os.path import dirname, abspath
sys.path.append(dirname(dirname(abspath(__file__))))
import os
import io
def jsonify(name, res_msg, chat_time):
js = {}
js['name'] = name
js['content'] = res_msg
js['time'] = chat_time
return js
def get_file_info(path):
(filepat... | evilking-yh/abuse_it | app/tools/utils.py | utils.py | py | 791 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"lin... |
27277312079 | #https://openweathermap.org
#https://openweathermap.org/current
#https://api.openweathermap.org/data/2.5/weather?lat={lat}&lon={lon}&appid={API key}
#criar uma conta no site, assim é possível obter uma key
import requests
def rodar():
#ler o apikey.txt
with open('apikey.txt', 'r') as arquivo:
api_key = ... | JHE4N/consultar-clima | main.py | main.py | py | 964 | python | pt | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
}
] |
471531866 | import json
from collections import defaultdict
from itertools import groupby
import click
from complianceio.opencontrol import OpenControl
@click.command()
@click.argument(
"source",
type=click.Path(exists=True, dir_okay=False, file_okay=True, resolve_path=True),
)
@click.argument("component-name")
def mai... | CivicActions/compliance-io | examples/to_jsonl.py | to_jsonl.py | py | 1,177 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "complianceio.opencontrol.OpenControl.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "complianceio.opencontrol.OpenControl",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 19,
"usage_type":... |
26479589794 | from cmath import inf
from turtle import color, width
from soupsieve import closest
from sqlalchemy import null
import networkx as nx
import matplotlib.pyplot as plt
# you may need to install networkx
#### here we are just reading and converting the graph into adjacency matrix
n = -1
graph = {}
G = nx.Graph()
file =... | DYernar/graph_algorithms | dijkstra.py | dijkstra.py | py | 3,731 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "networkx.Graph",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cmath.inf",
"line_number": 76,
"usage_type": "name"
},
{
"api_name": "networkx.get_edge_attributes",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": "networkx.get_e... |
2334157810 | #!/usr/bin/env python
import argparse
import os
from datetime import datetime
from jinja2 import Template
parser = argparse.ArgumentParser(
description='Python app project setup'
)
parser.add_argument(
'--author-name', '-a',
dest='author_name',
type=str,
required=True,
help='Your full name (... | micahhausler/python-template | new_project.py | new_project.py | py | 5,371 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 84,
"usage_type": "name"
},
{
"api_name": "jin... |
36520913349 | import configparser
import loguru
import psycopg2
from flask import request
from flask_cors import CORS
from loguru import logger
from time import gmtime, strftime
from flask import Flask, jsonify
import configurations
from datetime import datetime as dt
from dbprocess import dbprocess
sysdate = dt.now()
conn = psyco... | giridharanbabu/DFXClassification_V1 | training_updates.py | training_updates.py | py | 2,411 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "datetime.datetime.now",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "psycopg2.connect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "configuratio... |
35137911623 | import requests
import csv
import re
import time
import pandas as pd
from joblib import Parallel, delayed
from io import BytesIO
import subprocess
import time
import numpy as np
import random
import datetime
import multiprocess as mp
rootURL = 'https://marketplace.deweydata.io'
#Replace authorization with valid creden... | sofiaaj/sg_workshop | retrieve_safegraph_data.py | retrieve_safegraph_data.py | py | 3,029 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.DataFrame",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_numb... |
40297113826 | # Databricks notebook source
# MAGIC %md
# MAGIC ## Mount the Blob storages
# COMMAND ----------
# MAGIC %md
# MAGIC ### Mount the Landing Zone Blob
# COMMAND ----------
# MAGIC %run Users/akshay.shinde@d2iconsulting.com.au/common_utilities/connect_landing_zone
# COMMAND ----------
# MAGIC %md
# MAGIC ### Mount t... | akshayshinde121992/databricks_version_sample | notebooks/Users/akshay.shinde@d2iconsulting.com.au/data modelling/Databricks versioning sample.py | Databricks versioning sample.py | py | 6,462 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pyspark.sql.functions.col",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions.col",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions",
"line_number": 94,
"usage_type": "name"
},
{
"api_nam... |
14641440432 | """models for a2c agents"""
import torch
from torch import nn
import torch.nn.functional as F
class ActorCritic(nn.Module):
def __init__(self, l_obs, n_act, hidden_size=32):
super(ActorCritic, self).__init__()
self.l_obs = l_obs
self.n_act = n_act
self.hidden_size = hidd... | woithook/Meta-gradient_RL | models/models.py | models.py | py | 2,632 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
22997145330 | # Initial exploration of the data to see what's up
# This is for the first set of data we ended up using in the project
import sys
import pandas as pd
import matplotlib.pyplot as plt
data_dir = 'data_tscorrect'
plot_dir = 'plots'
num_sensors = 8
size = 'PM1'
plt.figure()
# First, read the ground truth sensor, takin... | zackziegler95/blind_sensor_calibration | analyze.py | analyze.py | py | 1,769 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pandas.to_datetime",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.... |
17812186472 | import sqlite3
import hashlib
import os.path
import shutil
class data_dedup_func(object):
def __init__(self):
self.temp_path = r"E:/Arpit/Personal n Clg/4th yr project dedupliction/Main Project/DataDedup/server/temp/"
def hash_cal(self, filename):
h = hashlib.sha1()
f_path... | arpitdiwan/Data_Deduplication- | server/data_dedup.py | data_dedup.py | py | 3,675 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "hashlib.sha1",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_... |
6147961945 | '''
Importing modules
'''
import os
import pandas as pd
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import pdb
import pickle
import datetime
import random
import torch
import torchvision
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as opt
import numpy as np
from ... | Sirish07/DeepCleanArchive | python_scripts/best.py | best.py | py | 30,110 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.getcwd",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number":... |
9242099480 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
# data-analysis
# basicSVM.py
"""
Description: 基础版SVM
author : zhangjingbo
Date: 2018/12/20
"""
import os
import numpy as np
import pickle
import matplotlib.pylab as plt
import random
class basicSVM:
def __init__(self, testSet='testSet'):
sel... | GibZhang/ml-practice | SVM/basicSVM.py | basicSVM.py | py | 6,935 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.isfile",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.mat",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number"... |
16736770260 | import io
import numpy as np
import collections
# import faiss
import scipy.spatial
import torch
def load_vectors(fname, maxload=200000, norm=True, center=False, verbose=True):
if verbose:
print("Loading vectors from %s" % fname)
fin = io.open(fname, 'r', encoding='utf-8', newline='\n', errors='ignore'... | Immortals88/TKGC | utils.py | utils.py | py | 7,843 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "io.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number"... |
23414108783 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from flask import *
import os, time, random, json, socket
from utils.chars import saveCharacter, switchCharacter, saveUnsavedPlayers
app = Flask(__name__)
app.secret_key = os.urandom(24)
@app.route('/save/<identifier>/<disconnect>')
def save(identifier, disconnect):
if d... | jeagqer/adrp-current | [adrp]/adrp_characterspawn/[adrp-char-api]/app.py | app.py | py | 1,407 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.urandom",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "utils.chars.saveCharacter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_n... |
2487974701 | import cv2
import numpy as np
img = np.zeros((600, 600, 3), np.uint8)
cv2.line(img, (0, 0), (img.shape[1], img.shape[0]), (0, 255, 0), 8)
# cv2.line(影像, 开始座标, 结束座标, 颜色, 线条宽度)
# 在图像上画线
# img.shape[0] = 600 、 img.shape[1] = 600 、 img.shape[2] = 3
cv2.rectangle(img, (0, 0), (400, 300), (0, 0, 255), cv2.FILLED)
# cv2.re... | PatrickWhiteGG/test2 | YT_excercise/YT_test2_drawing.py | YT_test2_drawing.py | py | 1,154 | python | zh | code | 0 | github-code | 7 | [
{
"api_name": "numpy.zeros",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "cv2.line",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
"line_number":... |
9965865403 | def identify_locations(outputs):
overlaps = [] # overlapping paths for part 1
path = [] # all scaffold locations, for part 2
for i in range(len(outputs)):
for j in range(len(outputs[i])):
characters = []
#center
characters.append(outputs[i][j]=='#')
... | p-mckenzie/Advent_of_Code_2019 | day17.py | day17.py | py | 6,125 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "itertools.permutations",
"line_number": 125,
"usage_type": "call"
},
{
"api_name": "intComputer.IntcodeComputer",
"line_number": 147,
"usage_type": "call"
}
] |
6749981259 | import pandas as pd
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from torch.utils.data import DataLoader, TensorDataset
device = torch.device("cuda" if torch.cuda.is_available() e... | Jainil5/diabetes-detector | main.py | main.py | py | 4,921 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "torch.device",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv"... |
71314365982 | from collections import deque
N = int(input())
adj = [[] for _ in range(N + 1)]
visit = [[False] * (N + 1) for _ in range(N + 1)]
dist = [[0] * (N + 1) for _ in range(N + 1)]
minScore = 1e9
answer = []
while True:
a, b = map(int, input().split())
if a == -1 and b == -1:
break
adj[a].append(b)
... | ddb8036631/algorithm | src/너비우선탐색/boj_2660.py | boj_2660.py | py | 967 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.deque",
"line_number": 18,
"usage_type": "call"
}
] |
22519030107 | import sys
import warnings
import numpy as np
import matplotlib.pyplot as plt
from skimage.segmentation import (morphological_geodesic_active_contour,
inverse_gaussian_gradient)
import skimage
import cv2
import os
import SimpleITK as sitk
import glob
import napari
def view... | fahimehazari/BoneMicrostructureAanalysisTool | Bone_Mask.py | Bone_Mask.py | py | 7,634 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "napari.view_image",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "napari.run",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.copy",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "SimpleITK.GetArrayFromImage",... |
6757069409 | from django import forms
from .models import ReporteDiario, Funda, Defecto, PorcentajeDefecto # Asegúrate de importar los modelos necesarios
from django.forms import modelformset_factory
# class ReporteDiarioForm(forms.ModelForm):
# class Meta:
# model = ReporteDiario
# fields = '__all__'
# ma... | Jaisartuyk/control-calidad | tra_calidad/reporte_diario/forms.py | forms.py | py | 2,433 | python | es | code | 0 | github-code | 7 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.forms.ModelMultipleChoiceField",
"line_number": 15,
"usage_type": "call"
},
{
"ap... |
5870165500 | import argparse
import logging
import os
import os.path as osp
import time
import re
from collections import deque
import torch
import torch.nn.functional as F
import torch_geometric.transforms as T
from torch_geometric.data import DataLoader
from DatasetLoader.loader import LoadDataset
from Utils.helper import time_... | MaGiiK02/pygeometric_pointnet2 | Project/train_cls.py | train_cls.py | py | 10,484 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.nll_loss",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional",
"line_number": 75,
"usage_type": "name"
},
{
"api_name... |
9106671336 | import os
import multiprocessing as mp
file_list = os.listdir("2-GeneFamiliesDivTimeAligned/")
def to_run(fasta_file):
os.chdir("2-GeneFamiliesDivTimeAligned/")
os.system("iqtree2 -s " + str(fasta_file) + " -nt 1")
pool = mp.Pool(15)
pool.map(to_run, file_list)
| freitas-lucas/SGP_Anopheles | 3-LoopIQTREE.py | 3-LoopIQTREE.py | py | 267 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.listdir",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pool",
"line_number": ... |
24040634049 | from fastapi import APIRouter, Depends
from fastapi.exceptions import HTTPException
from config.db import db
from templates import webhook_template
from functions import auth
from models.models import User
app = APIRouter()
@app.get("/admin/users")
async def getAllUsers(admin: User = Depends(auth.get_current_user)):
... | ubaida985/ODU_Backend | routes/admin.py | admin.py | py | 2,050 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.models.User",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "fastapi.Depends",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "functions.auth.ge... |
10227658984 | import logging
logger = logging.getLogger("live_control")
from django.shortcuts import render_to_response
from django.http import HttpResponse, HttpResponseRedirect
from django.template import loader
from django.contrib.auth.decorators import login_required
from django.template import RequestContext
from django.core.... | mohkof1106/test | controller_setup/views.py | views.py | py | 3,443 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "django.template.loader.get_template",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.template.loader",
"line_number": 23,
"usage_type": "name"
},
{
"api_n... |
12454696393 | from django.test import TestCase, Client
from django.urls import reverse
from review.models import comments
from account.models import User, Business
class TestViews(TestCase):
'''Login required - cant test all functunals'''
def setUp(self):
# Create objects
self.client = Client()
self... | eizikr/EasyShop | review/tests/test_views.py | test_views.py | py | 824 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "django.test.TestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.test.Client",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "review.models.comments.objects.create",
"line_number": 12,
"usage_type": "call"
},
{
"api_... |
10012095687 |
import pygame
from game import Game
SCREEN_WIDTH = 1024
SCREEN_HEIGHT = 576
FPS = 60
def main():
pygame.init()
screen = pygame.display.set_mode((SCREEN_WIDTH,SCREEN_HEIGHT))
pygame.display.set_caption("Maze Escape-3D")
done = False
clock = pygame.time.Clock()
ga... | Chenyungchin/Maze_Escape-3D | main.py | main.py | py | 509 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pygame.init",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pygame.displa... |
36312483982 | from decouple import config
if __name__ == "__main__":
DEBUG = config('DEBUG', default=False, cast=bool)
print('DEBUG', DEBUG)
'''
environment variables have precedence over config files.
os.environ['PATH'] = '/my_path'
'''
PATH = config('PATH', cast=str)
print('PATH', PATH)
| twtrubiks/python-notes | python-decouple-tutorial/tutorial.py | tutorial.py | py | 309 | python | en | code | 94 | github-code | 7 | [
{
"api_name": "decouple.config",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "decouple.config",
"line_number": 10,
"usage_type": "call"
}
] |
29661701030 | from uuid import UUID
from django.urls import reverse
import pytest
from rest_framework import status
from rest_framework.test import APIClient
from tests.factories import RecipeFactory
pytestmark = [pytest.mark.django_db]
def get_recipe_detail_url(recipe_id: str) -> str:
"""Return a recipe detail url."""
... | savilard/foodplan | backend/tests/test_api/test_recipes/test_recipe_update.py | test_recipe_update.py | py | 1,307 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pytest.mark",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.urls.reverse",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tests.factories.RecipeFactory",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "re... |
71979251744 | """"
This script performs the first preprocessing step: Vocals Isolation.
It uses the MadTwinNet (https://github.com/dr-costas/mad-twinnet)
as a source-separation algorithm, yielding close to SOTA results
at the moment of writing this code.
"""
def isolate_vocals(
d00sr01_f1,
weights_d0,
rnn_e... | ddcas/singing-language-identification | preprocessing/vocals_isolation.py | vocals_isolation.py | py | 5,956 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.set_grad_enabled",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "utils.settings.debug",
"line_number": 74,
"usage_type": "name"
},
{
"api_name": "utils.settings.debug",
"line_number": 82,
"usage_type": "name"
},
{
"api_name": "torc... |
32370428868 | import streamlit as st
import pandas as pd
import gig_scraper
def local_css(file_name):
with open(file_name) as f:
st.markdown(f'<style>{f.read()}</style>', unsafe_allow_html=True)
def remote_css(url):
st.markdown(f'<link href="{url}" rel="stylesheet">', unsafe_allow_html=True)
def icon(... | monkphx/Craigsilist-gig-finder | app.py | app.py | py | 1,793 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "streamlit.markdown",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "gig_scraper.st... |
17838250023 | import spacy
nlp = spacy.load("en_core_web_lg")
class FileCleaning:
def __init__(self,filename):
self.filename = filename
def filtering(self):
with open(self.filename) as f:
lines = f.readlines()
for line in range(0,len(lines)):
lines[line] = lines[... | aryansuri42/NLP-using-spacy-and-simpletransformers | DataCleaning.py | DataCleaning.py | py | 2,350 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "spacy.load",
"line_number": 2,
"usage_type": "call"
}
] |
38140758713 | __author__ = 'roman'
from bottle import request, Bottle, abort
from bottle import route, run, template, static_file
import json
import jsonpickle
from client import Client
from serverToClientMessage import ServerToClientMessage
from taskmanager import *
from serverPageToServerMessage import *
from serverToServerPageMe... | TkachenkoRoman/WebWork | main.py | main.py | py | 10,153 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "bottle.Bottle",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "jsonpickle.encode",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "jsonpickle.encode",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "jsonpickle.encode",... |
18357199296 | # -*- coding: utf-8 -*-
"""
@author: Yifan Cheng, Skylar Du, Yashash Gaurav, Mark He
"""
# import os
import time
import random
import requests
import numpy as np
import pandas as pd
from bs4 import BeautifulSoup
from selenium import webdriver
from urllib.request import urlopen
from pandas.core.frame import DataFrame
f... | junhuih/DFP-Project | fetch_all_data.py | fetch_all_data.py | py | 11,221 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pandas.core.frame.DataFrame",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "... |
74977609184 | # ==========
# Created by Ivan Gadjev
# 2020.02.01
#
# Library of custom functions that aid in projects using pyRadia, genesis, elegant, and varius other codes and analyses.
#
#
# ==========
# import sys
# import os
import time
import bisect
import json
import scipy.constants as pc
import numpy as np
import sci... | igred8/customlib | customlib.py | customlib.py | py | 41,524 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "json.JSONEncoder",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "json.JSONEncoder.default",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "jso... |
27770050049 | from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
import collections
import enum
from googlecloudsdk.api_lib.storage import cloud_api
from googlecloudsdk.command_lib.storage import errors
from googlecloudsdk.command_lib.storage import plurality_checkable_it... | twistedpair/google-cloud-sdk | google-cloud-sdk/lib/googlecloudsdk/command_lib/storage/name_expansion.py | name_expansion.py | py | 10,563 | python | en | code | 55 | github-code | 7 | [
{
"api_name": "enum.Enum",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "enum.Enum",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "googlecloudsdk.api_lib.storage.cloud_api.FieldsScope",
"line_number": 47,
"usage_type": "attribute"
},
... |
14199215335 | # from pudb import set_trace; set_trace()
from typing import List
import math
class Solution1:
def countQuadruplets(self, nums: List[int]) -> int:
"""TLE, because num_smaller and num_larger takes too long to build.
"""
N = len(nums)
# num_smaller[i][j] is the number of vals smaller... | FanchenBao/leetcode | LeetCode_2552.py | LeetCode_2552.py | py | 5,695 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 94,
"usage_type": "name"
}
] |
26954657246 | import codecs
import datetime
import logging
import os
import re
import sys
import urllib2
import hashlib
from cghub_python_api import WSAPIRequest, SOLRRequest
from cghub_python_api.utils import urlopen
from django.conf import settings
from django.template.loader import render_to_string
from django.utils import time... | dudarev/cghub | cghub/apps/core/requests.py | requests.py | py | 14,332 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "django.conf.settings.API_TYPE",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "cghub_python_api.WSAPIRequest",
"line_number": 23,
"usage_type": "name"
},
{
... |
36662041355 | from skimage import io
import numpy as np
im1 = io.imread('1.pgm')
im2 = io.imread('2.pgm')
x = np.array(im1)
y = np.array(im2)
z = abs(x/100 - y/100)
z = z*100
SAD = np.sum(z)
SSD = np.sum(z**2)
print(SAD, SSD)
| steven0129/ML-assignment | assignment1/example/test.py | test.py | py | 227 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "skimage.io.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "skimage.io",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "skimage.io.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "skimage.io",
"line_nu... |
31903369490 | __author__ = 'brian'
import atom
import numpy as np
class MStructureObj:
def __init__(self, data, num_species,num_beg_rules, num_cluster_rules, num_j_rules):
data = data.split()
self.num_beg_rules = num_beg_rules
self.num_cluster_rules = num_cluster_rules
self.num_j_rules = num_j_r... | bjblank2/GUM_mark3 | m_structure.py | m_structure.py | py | 3,766 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "numpy.ones",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "atom.AtomObj",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "atom.AtomObj",
"line_number": ... |
39022099463 | from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
import math
import torch
from torch import nn
import torch.nn.functional as F
import torchvision.models as models
from .network_utils import *
class StateEncoderShallowCNN(torch.nn.Module):
"""
state... | xfgao/VRKitchen | Script/deep_rl/network/state_encoder.py | state_encoder.py | py | 2,151 | python | en | code | 18 | github-code | 7 | [
{
"api_name": "torch.nn",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "torch.nn.BatchNorm2d",
"li... |
1117519287 | import streamlit as st
from torchtyping import TensorType as TT
from transformer_lens.hook_points import HookPoint
from .environment import get_action_preds
from .visualizations import plot_action_preds, plot_single_residual_stream_contributions, plot_single_residual_stream_contributions_comparison
from .analysis impo... | echowne/DecisionTransformerInterpretability | src/streamlit_app/causal_analysis_components.py | causal_analysis_components.py | py | 3,306 | python | en | code | null | github-code | 7 | [
{
"api_name": "streamlit.expander",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "streamlit.write",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "streamlit.columns",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "streamlit.select... |
21517048152 | import json
import os
file_path = os.path.join('bananafashion/input_data/womendata.json')
with open(file_path) as f:
women_new_arrival = json.load(f)
file_path = os.path.join('bananafashion/input_data/homedata.json')
with open(file_path) as f:
home = json.load(f)
file_path = os.path.join('banan... | hericlibong/HIDDEN_API_SCRAPING | bananafashion/utils.py | utils.py | py | 834 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.join",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 10... |
26201279793 | import re
from copy import deepcopy
from tqdm import tqdm
# split sentences into lines without meta
def get_lines(sent, ans_sent):
meta_lines = re.search('^(#.*\n)*', sent).group()
no_meta_sent = sent[len(meta_lines):]
lines = no_meta_sent.split('\n')
meta_lines_ans = re.search('^(#.*\n)*', ... | yashkens/belarusian_enh_dep_annotation | scripts/tokenization_aligner.py | tokenization_aligner.py | py | 9,029 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "re.search",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 140,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 170,... |
20965867210 | import os
import cv2
import tensorflow as tf
import numpy as np
from DataGenerator import ImageDataGenerator
from DHN import *
batch_size = 100
hash_K = 48
checkpoint_path = os.path.join(os.getcwd(), "tmp\\dhn")
def toBinaryString(binary_like_values):
numOfImage, bit_length = binary_like_values.shape
list_str... | ycdfwzy/ADS-Project2 | Query.py | Query.py | py | 6,566 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tensorflow.placeholder",
"lin... |
40615577399 | import os
import sys
import cv2
def images2vedio(in_dir, out_dir, out_name, fps=2):
im_names = os.listdir(in_dir)
im_names.sort()
im_paths = [in_dir + im_name.strip() for im_name in im_names]
out_path = out_dir + out_name
# error: 'module' object has no attribute VideoWriter_fourcc
# fourcc = cv2.VideoWri... | zimenglan-sysu-512/pose_action_caffe | tools/utils/ims2video.py | ims2video.py | py | 840 | python | en | code | 6 | github-code | 7 | [
{
"api_name": "os.listdir",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.cv.CV_FOURCC",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.cv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoWriter",
"line_nu... |
10835927166 | import itertools
def part1(numbers):
for x, y in itertools.combinations(numbers, 2):
if x + y == 2020:
return x * y
def part2(numbers):
for x, y, z in itertools.combinations(numbers, 3):
if x + y + z == 2020:
return x * y * z
def main(inp):
with open(inp) as f:
... | szampier/adventofcode2020 | src/day01.py | day01.py | py | 583 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "itertools.combinations",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 9,
"usage_type": "call"
}
] |
9390111256 | # -*- coding: utf-8 -*-
#!/usr/bin/env python
import matplotlib.pyplot as plt
import os.path
import os
import argparse
import json
parser = argparse.ArgumentParser(description='Train report build')
parser.add_argument('-a', '--history', help='History file name',default=None)
args = parser.parse_args()
history_list... | luismalta/DeepRL-Robotics | plot.py | plot.py | py | 2,503 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
13348623793 | # "The __init__.py files are required to make Python treat the
# directories as containing packages"
# -- http://docs.python.org/tutorial/modules.html
from ConfigParser import ConfigParser
from sqlalchemy.engine.url import make_url
from traincheck import TrainingRecordsRd
TRAINING_SECTION = 'training'
def from_co... | kumc-bmi/heron-admin | heron_wsgi/traincheck/__init__.py | __init__.py | py | 852 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "ConfigParser.ConfigParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.engine.url.make_url",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "traincheck.TrainingRecordsRd",
"line_number": 25,
"usage_type": "call"
}
] |
33737882240 | import cv2 as cv
import numpy as np
import pickle
# Load the camera calibration parameters from the .pkl files
calibration_data = pickle.load(open("calibration.pkl", "rb"))
cameraMatrix, dist = calibration_data
# Load an image for pose estimation
image_path = 'images/img21.png' # Replace with the path to your image
... | RidhaOuni07/CameraCalibration | renderaCube.py | renderaCube.py | py | 2,019 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pickle.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_num... |
32172829625 | # Corner Detections
import cv2
import numpy as np
# Load image then grayscale
image = cv2.imread('images/chess.jpg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# The cornerHarris function requires the array datatype to be float32
gray = np.float32(gray)
harris_corners = cv2.cornerHarris(gray, 3, 3, ... | PkParadox88/30days_of_openCV | day18/day18.py | day18.py | py | 1,018 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.float32",
"lin... |
43410186119 | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 24 01:57:39 2020
@author: agarcia20
"""
import yfinance as yf
import math
stock = yf.Ticker("XOM") # Get ticker
expiration = stock.options[0] ... | adriang1174/financial_scripts | call_conodr.py | call_conodr.py | py | 2,505 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "yfinance.Ticker",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "math.gcd",
"line_number": 31,
"usage_type": "call"
}
] |
27980106710 | import serial
import sys
with open('Tester_clean.hex', 'r') as f:
archivo = f.read().split('\n')
archivo.pop()
print(archivo)
print(type(archivo))
# puerto = serial.Serial('COM4', 9600, rtscts = True) # rtscts = False PARA PROTEUS !!!!!!!!!!!
puerto = serial.Serial('COM1', 9600, rtscts = False) # rtscts = False... | MrRomo/MrBootloader | Ejemplo/ejemplo.py | ejemplo.py | py | 720 | python | es | code | 0 | github-code | 7 | [
{
"api_name": "serial.Serial",
"line_number": 11,
"usage_type": "call"
}
] |
72198657504 |
from recipes.decorators import catch
import pytest
class TestCatch:
@pytest.mark.parametrize(
'action, kls, kws',
[('warn', UserWarning, {}),
('raise', ValueError, {}),
('raise', TypeError, dict(alternate=TypeError))]
)
def test_decor(self, action, kls, kws):
@... | astromancer/recipes | tests/decororators/test_common.py | test_common.py | py | 1,121 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "recipes.decorators.catch",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytest.warns",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pytest.raises",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pytest.... |
44358074867 | import cherrypy
import json
import splunk.appserver.mrsparkle.controllers as controllers
from splunk.appserver.mrsparkle.lib import jsonresponse
from splunk.appserver.mrsparkle.lib.decorators import expose_page
from splunk.appserver.mrsparkle.lib.routes import route
from splunk.rest import simpleRequest
import sys
fro... | davidratcliffe/es_eventgens | SA-ThreatIntelligence/appserver/controllers/customsearchbuilder.py | customsearchbuilder.py | py | 6,084 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "sys.path.append",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "splunk.clilib.bundle_paths.make_splunkhome_path",
"line_number": 11,
"usage_type": "call"
},
{
"api... |
70889191905 | #!/usr/bin/env python2
import logging
import subprocess
import os.path
import shlex
import importlib.resources
import clamsig
import csv
class ClamSigVis:
'''
Use the tooling
'''
# Use the default directory
_freshclam_dir = None
# Use the default path by default
_bin_path = None
#... | chalbersma/clamsig | clamsig/sigvis.py | sigvis.py | py | 4,746 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "importlib.resources.resources.path",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "importlib.resources.resources",
"line_number": 60,
"usage_type": "attribute"
},
... |
612175889 | from sentence_transformers import SentenceTransformer
from collections import defaultdict
from graph_model import dialogue_graph
import pickle
import numpy as np
import sys
import torch
from graph_model.cluster_selection.cluster_selection import PredictNextCluster, prepare_input
from graph_model import dialogue_graph... | Kirill456Z/graph-model | graph_model/model.py | model.py | py | 3,117 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.modules",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "graph_model.dialogue_graph",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "sys.modules",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "graph_mo... |
7700952603 | import os
import json
import numpy as np
def convert(JSON_FOLDER, NPY_PATH):
# Initialize an empty list to accumulate the pose data
pose_data_list = []
# Loop over all JSON files in the folder
for JSON_FILE in sorted(os.listdir(JSON_FOLDER)):
# Check if the file is a JSON file
if JSON... | tijiang13/InstantAvatar | scripts/custom/convert_openpose_json_to_npy.py | convert_openpose_json_to_npy.py | py | 1,495 | python | en | code | 250 | github-code | 7 | [
{
"api_name": "os.listdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 1... |
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