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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
38579982962 | import csv
import functools
reader = csv.DictReader(open('data/id_lang.csv', 'r', encoding='utf-8'), delimiter='\t', quoting=csv.QUOTE_NONE)
@functools.lru_cache
def get_filetxt(filename):
with open(f'data/lyrics/{filename}.txt', 'r', encoding='utf-8') as file:
txt = file.read().replace('\n', ' ')
... | TrvsF/song-sentiment-comparer | src/tests/dataset.py | dataset.py | py | 762 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "csv.DictReader",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_NONE",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "functools.lru_cache",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "csv.DictWrit... |
28784673622 | from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
# SQLALCHEMY_DATABASE_URL = "sqlite:///./sql_app.db" # if using sqlite
SQLALCHEMY_DATABASE_URL = f'postgresql://postgres:dc8294dc8294!!@localhost/postgres'
# create database
engine = cr... | cookie1986/FastAPI-Microservice | app/database.py | database.py | py | 675 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.sessionmaker",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 14,
"usage_type": "call"... |
8978671587 | # -*- coding: utf-8 -*-
"""
Created on Fri Apr 12 17:33:02 2019
@author: Anna Shishkina
"""
import mne
import numpy as np
from scipy.linalg import eig
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
#------------------------------------------------------------------------------
# Matrix ch x coi... | brainwavesurf/Headcoils_data_analysis | spyder/Eigen decomposition/Head_position_eigenvectors.py | Head_position_eigenvectors.py | py | 2,747 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "mne.io.read_raw_fif",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "mne.io",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "mne.pick_types",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "scipy.linalg.eig",
... |
31429349812 | import cv2
import os
import string
# Create the directory structure
if not os.path.exists("Dataset"):
os.makedirs("Dataset")
if not os.path.exists("Dataset/Training Data"):
os.makedirs("Dataset/Training Data")
if not os.path.exists("Dataset/Test Data"):
os.makedirs("Dataset/Test Data")
for i in range(1... | adityaaay/indiansignlang | collectdata.py | collectdata.py | py | 9,483 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_numbe... |
20836751034 | from http.server import SimpleHTTPRequestHandler
from socketserver import TCPServer
import cgi
class FileUploadHandler(SimpleHTTPRequestHandler):
def do_POST(self):
form = cgi.FieldStorage(
fp=self.rfile,
headers=self.headers,
environ={'REQUEST_METHOD': 'POST', 'CONTENT_... | TanLocLouis/GK-Gambling-Game-N9 | Design/server.py | server.py | py | 2,150 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "http.server.SimpleHTTPRequestHandler",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "cgi.FieldStorage",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "socketserver.TCPServer",
"line_number": 56,
"usage_type": "call"
}
] |
26646957354 | #!/usr/bin/env python3
import matplotlib.pyplot as plt
import numpy as np
import argparse
import monarch
import signal
import sys
def main():
# Parse command line arguments
parser = argparse.ArgumentParser(description = "Plot Sigfox Monarch Beacon")
parser.add_argument("-r", "--rc", help = "Radio configur... | Jeija/sigfox-monarch-beacon-generator | plot.py | plot.py | py | 1,004 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "monarch.generate_beacon",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 21,
"usage_type": "call"
},
{
"api_name":... |
71427537640 | # libs
from __future__ import division
import numpy as np
import tifffile as tiff
import matplotlib.pyplot as plt
from skimage.transform import resize
from collections import defaultdict
import pandas as pd
import cv2
import os
import shapely
from shapely.geometry import MultiPolygon, Polygon
def stretch_8b... | aorursy/new-nb-3 | jay960702_waterway-0-095-lb.py | jay960702_waterway-0-095-lb.py | py | 2,899 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros_like",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "numpy.percentile",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.percentile... |
28284909186 | from pathlib import Path
import bw_processing as bwp
import numpy as np
from fs.base import FS
from fs.osfs import OSFS
from fs.zipfs import ZipFS
from .errors import InconsistentGlobalIndex
def get_seed(seed=None):
"""Get valid Numpy random seed value"""
# https://groups.google.com/forum/#!topic/briansuppo... | brightway-lca/brightway2-calc | bw2calc/utils.py | utils.py | py | 2,331 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "numpy.random.RandomState",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "errors.InconsistentGlobalIndex",
"line_number": 26,
"usage_type": "call"
},
{
"api_nam... |
2441527659 | """
small_matrix_app.tests.matrix_entry_widget.py
Creates the screen for entering and submitting matrices to be multiplied together
"""
import sys
from PyQt5 import QtCore, QtWidgets
from PyQt5.QtWidgets import (
QVBoxLayout,
QSpinBox,
QGridLayout,
QWidget,
QHBoxLayout,
QPushButton,
QFormLa... | grace-harper/small-matrix-app | matrix_app/matrix_entry_widget.py | matrix_entry_widget.py | py | 11,907 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QPushButton",
"line_number": 49,
"usage_type": "call"
},
{
"api_name... |
30523696752 | from collections import deque
n, m, k = map(int, input().split())
edge = [[] for _ in range(n*2)]
for _ in range(m):
u, v, a = map(int, input().split())
u -= 1
v -= 1
if a == 0:
u += n
v += n
edge[u].append((v, 1))
edge[v].append((u, 1))
s = list(map(int, input().split()))
fo... | chikati3/Atcoder | abc277/E.py | E.py | py | 805 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 25,
"usage_type": "call"
}
] |
1736546086 | import os
import requests
from bson.objectid import ObjectId
from flask import (
Flask, flash, render_template,
redirect, request, session, url_for, abort)
from flask_pymongo import PyMongo
from gridfs import GridFS
from werkzeug.security import generate_password_hash, check_password_hash
from werkzeug.utils im... | oisintohak/MS3 | app.py | app.py | py | 14,330 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_nu... |
19193279559 | import pulp, logging
'''https://arxiv.org/pdf/1606.01935.pdf - page 3, 4'''
#######################################################################################################################
########################################### CONSTANTS BELOW #################################################
#... | 270ajay/capacitatedVehicleRouting | src/varsAndCts.py | varsAndCts.py | py | 6,148 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "pulp.LpVariable",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pulp.LpBinary",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pulp.LpVariable",
... |
30050146365 | import pymysql
import random
def K2():
conn = pymysql.connect(host = "47.103.24.215",user = 'root',passwd = 'yesterday.1',db = 'zp',charset="utf8")
cursor = conn.cursor()
t = ['教育', '互联网', '管理', '文秘', '电子', '机械', '客服', '销售', '银行', '保险', '汽车', '采购', '化工', '设计']
sql = 'SELECT K1,K2 FROM ZpModel_zp where... | mainfxyz/Recruitment-website | zpWeb/olap.py | olap.py | py | 2,244 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pymysql.connect",
"line_number": 5,
"usage_type": "call"
}
] |
41885124095 | """Command line tool for creating METS document and copying files to workspace
directory.
"""
from __future__ import print_function, unicode_literals
import datetime
import os
import sys
import uuid
from shutil import copyfile
import six
import click
import lxml.etree
import mets
import xml_helpers.utils as xml_util... | Digital-Preservation-Finland/dpres-siptools | siptools/scripts/compile_mets.py | compile_mets.py | py | 11,259 | python | en | code | 22 | github-code | 18 | [
{
"api_name": "click.disable_unicode_literals_warning",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "click.command",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "click.argument",
"line_number": 32,
"usage_type": "call"
},
{
"api_name... |
4445704169 | from datetime import datetime
import pytest
def change_code(info):
info = info.replace('C#', 'c')
info = info.replace('D#', 'd')
info = info.replace('F#', 'f')
info = info.replace('G#', 'g')
info = info.replace('A#', 'a')
return info
def calculate_time(start, end):
hour, minute, _ = str... | prography-6th-study/algorithm-code | jisoo/2-방금그곡.py | 2-방금그곡.py | py | 1,750 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "... |
1244055499 | import yaml
import os
import requests
from icecream import ic
# print(os.path.realpath(__file__))
# print(os.path.dirname(os.path.realpath(__file__)))
# print(os.path.dirname(os.path.dirname(os.path.realpath(__file__))))
# print(os.path.join(os.path.dirname(os.path.dirname(os.path.realpath(__file__))), "config", "data... | ToddCombs/APItest | utils/read_data.py | read_data.py | py | 1,018 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.realpath",
"lin... |
32077112473 | """Module diffs -- Utility module to compare to result dictionaries.
During testing and development it is often necessary to compare two result dictionaries.
"""
# pyright: strict
from dataclasses import dataclass
from typing import Any, Iterator
from collections.abc import Mapping
from math import isnan, fabs
from ... | GermanZero-de/localzero-generator-core | src/climatevision/generator/diffs.py | diffs.py | py | 3,017 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "typing.Any",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "math.isnan",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "math.isnan",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "math.isnan",
"line_number": 20,
... |
20342199910 | import numpy as np
from sklearn.externals import joblib
from sklearn.ensemble import RandomForestClassifier
from sklearn.svm import SVC
all_features = np.load('extracted_features.npy')
all_labels = np.load('labels.npy')
rf = RandomForestClassifier(n_estimators=128)
val_separator = int(all_features.shape[1]*0.9)
all... | maxspero/feedback-networks-transfer-learning | tl_rf.py | tl_rf.py | py | 1,361 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "numpy.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.RandomForestClassifier",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklearn.e... |
10805122411 | #!/usr/bin/env python3
import numpy as np
import matplotlib.pyplot as plt
from randomwalk import RandomWalk
n_vals,mean_distance_vals = [],[]
max_n = 2000
for n in range(100,max_n,50):
rw = RandomWalk(p=0.5,n=n,stats=False)
rw.plot_monte_carlo(number_of_trials=3000,show=False)
mean_distance_vals.append(rw.mc_mean... | aaronlf/Final-Year-Project | brownian-motion/random-walk/mean_distance_dependence.py | mean_distance_dependence.py | py | 752 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "randomwalk.RandomWalk",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.polyfit",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figu... |
75063262761 | '''Handles the receiving of packages. Update deliveries table when an ords'''
from .models import Deliveries
from . import db
import pandas as pd
from datetime import datetime
from sqlalchemy import text
def scan_package(scan_order_number):
#Scan new package. extract info from barcode data
new_deliver... | sebasalvarez13/inventory-system | inventoryapp/deliveries.py | deliveries.py | py | 1,246 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "models.Deliveries",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.... |
10333048851 | import getpass
import logging
import os
import platform
import textwrap
from configparser import ConfigParser
from pathlib import Path
from typing import Tuple
from appdirs import user_config_dir, user_data_dir
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s: %(levelname)s - %(message)s",
dat... | yulqen/bcompiler-engine | engine/config.py | config.py | py | 5,186 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "platform.syst... |
71427511080 | # This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O... | aorursy/new-nb-3 | janmejoy_covid19-time-series-analysis-plotly-visualization.py | janmejoy_covid19-time-series-analysis-plotly-visualization.py | py | 6,842 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.walk",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "plotly.io.templates",
"line_num... |
15903925869 | import os
import torch
from ldm.util import instantiate_from_config
def get_resume_checkpoint_path(opt):
if not os.path.exists(opt.resume):
raise ValueError("Cannot find {}".format(opt.resume))
if os.path.isfile(opt.resume):
paths = opt.resume.split("/")
# idx = len(paths)-paths[::-1]... | AlexanderLontke/weight-diffusion | src/weight_diffusion/execution/util.py | util.py | py | 1,655 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
8456351693 | #!/usr/bin/python3
"""
Class FileStorage
"""
import json
from models.amenity import Amenity
from models.base_model import BaseModel
from models.city import City
from models.place import Place
from models.review import Review
from models.state import State
from models.user import User
classes = {"Amenity": Amenity, "B... | zelda096/AirBnB_clone_v2 | models/engine/file_storage.py | file_storage.py | py | 1,944 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "models.amenity.Amenity",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "models.base_model.BaseModel",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "models.city.City",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "m... |
19155670504 | import numpy as np
import clementine as ct
import random
import matplotlib.pyplot as plt
class k_meams:
def __init__(self, x, y, k):
self.k = k # 簇数
self.x = x
self.y = y
self.C = [[] for i in range(k)] # 簇划分
self.D = self.choice_init(k, self.x) # 初始化支持向量
self.N ... | mr-wuliu/MECHINELEARNING | K-means.py | K-means.py | py | 4,001 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "numpy.linalg.norm",
... |
23235128128 | from typing import Optional, Type, List
import pytorch_lightning
import torch
from agz.MCTS_recurse import MCTS
from games.Game import Game
class Simulator:
def __init__(self, game: Type[Game], mcts_iterations=100, device="cpu"):
self.do_mcts = True
self.game = game
self.mcts_object = MC... | Fjf/AlphaGoZero-MPI | agz/simulator.py | simulator.py | py | 5,352 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Type",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "games.Game.Game",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "agz.MCTS_recurse.MCTS",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "games.Game.Game",
... |
75333502119 | import pygame, sys
import matplotlib.pyplot as plt
import numpy as np
import math
from scipy.integrate import ode
# set up the colors
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
RED = (255, 0, 0)
GREEN = (0, 255, 0)
BLUE = (0, 0, 255)
DEFAULT_ANGLE = 45.
DEFAULT_SPEED = 50.
# clock object that ensure that animation ha... | judacribz/python_repo | csci_3010u/lab/Lab2/lab2.py | lab2.py | py | 5,800 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.time.Clock",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pygame.image",
... |
22395167636 | from sklearn.cluster import KMeans
import matplotlib.pyplot as plt
import numpy as np
data = np.array([[1, 2], [4, 7], [9, 5], [12, 2], [5, 1], [3, 4]])
num_cluster = 2
kmeans = KMeans(n_clusters=num_cluster)
kmeans.fit(data)
labels = kmeans.labels_
centers = kmeans.cluster_centers_
colors = ["r.", "g.", "y.", "c... | MaviyaQureshi/DWM | practiceKMeans.py | practiceKMeans.py | py | 542 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.cluster.KMeans",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.py... |
38873071989 | import logging
import warnings
from pathlib import Path
from optuna import Trial
from research.armors.armor_color.benchmarker import make_armor_color_benchmarker
from research.armors.armor_color.pipeline import ArmorColorKerasPipeline
from research.armors.evaluation.hyper_tuner import HyperTuner
from research.common.... | PolySTAR-mtl/cv | src/research/armors/armor_color/scripts/hyper_tune_cnn.py | hyper_tune_cnn.py | py | 1,296 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "optuna.Trial",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "research.armors.armor_color.pipeline.ArmorColorKerasPipeline.from_custom_cnn",
"line_number": 14,
"usage_type":... |
6358439522 | #!/usr/bin/env python
"""NLTK utils
"""
import pickle
import nltk
from nltk.corpus import brown, gutenberg
__all__ = ['get_nltk_freq_words']
__author__ = ['chaonan99']
def get_nltk_freq_words():
"""Use Brown corpus frequent words
More corpora: http://www.nltk.org/book/ch02.html
"""
freq_dict = nltk... | easonnie/combine-FEVER-NSMN | src/chaonan_src/_utils/nltk_utils.py | nltk_utils.py | py | 928 | python | en | code | 71 | github-code | 18 | [
{
"api_name": "nltk.FreqDist",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.brown.words",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.brown",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "nltk.corpus.g... |
32352764847 | import base64
from odoo import _, api, fields, models
from odoo.exceptions import UserError, ValidationError
from odoo.tools import float_compare
class AccountPaymentOrder(models.Model):
_name = "account.payment.order"
_description = "Payment Order"
_inherit = ["mail.thread", "mail.activity.mixin"]
_... | OCA/bank-payment | account_payment_order/models/account_payment_order.py | account_payment_order.py | py | 19,037 | python | en | code | 174 | github-code | 18 | [
{
"api_name": "odoo.models.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Char",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "odoo.fields",
"... |
42187751948 | import colorama
from colorama import *
colorama.init()
num1 = int(input("Enter first number: "))
condition = input("What mathematical operator Would you like to use: \n\t\t+ for addition,\n\t\t- for substraction, \n\t\t* for multiplication,\n\t\t/ for diviition,\n\t\t% for Modulus, \n\t\t** for the power oparator \n\t\... | Shreeporno420/PYTHON | Python Project/text_Calculator.py | text_Calculator.py | py | 752 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "colorama.init",
"line_number": 3,
"usage_type": "call"
}
] |
2642113061 | import os
import argparse
from hexapod import hexapod
from time import time, sleep
from config import movement_interval as react_delay_ms
from setting import calibration_path
react_delay = react_delay_ms * 0.001
def normal_loop():
if not remote.connected():
sleep(1 - react_delay)
t0 = time()
re... | ViolinLee/cv_picnics | running.py | running.py | py | 1,200 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "config.movement_interval",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "hexapod.hexapod.process_... |
39677207066 | import ipaddress
import dns
def is_ipaddress(item):
try:
ipaddress.ip_address(item)
return True
except Exception:
return False
def is_ipnetwork(item):
try:
ipaddress.ip_network(item)
return True
except Exception:
return False
def is_domain(item):
... | vincentfer/https-github.com-fportantier-habu | habu/lib/enrich.py | enrich.py | py | 1,314 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "ipaddress.ip_address",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "ipaddress.ip_network",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "dns.name.from_text",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "dns.name"... |
14758747138 | from django.conf import settings
from requests_oauthlib import OAuth2Session
from django.shortcuts import redirect, get_object_or_404
from .models import SlackInstance, SlackOrgLink, SlackRepoLink, Organisation, Repository
from django.urls import reverse
import json
from django.contrib.auth.decorators import login_requ... | palfrey/vellere | notifier/slack.py | slack.py | py | 3,006 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "helpers.session",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 17,
"usage_type": "name"
},
... |
40531263232 | from typing import List
class Solution:
def removeDuplicates(self, nums: List[int]) -> int:
if len(nums) == 0:
return 0
cur_idx = 0
ori_idx = 1
length = 1
while (ori_idx < len(nums)):
if nums[ori_idx] != nums[ori_idx-1]:
cur_id... | ShijiaLiLiLi/leetcode | 26_Remove_Duplicates_from_Sorted_Array/python.py | python.py | py | 464 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 3,
"usage_type": "name"
}
] |
3271080791 | from bench.common import (
SampleConfig,
register_sample,
SampleSource,
SampleTag,
)
import numpy as np
import json
def get_sample_config():
with open("./bench/samples/basic/le/le.json", "r") as f:
arg_data = json.load(f)
arg_data_length = len(arg_data["le_0"])
args_cases_ = []
... | DeepLink-org/DLOP-Bench | bench/samples/basic/le/__init__.py | __init__.py | py | 1,001 | python | en | code | 38 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bench.common.SampleConfig",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bench.common.SampleSource.MMDET",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name... |
16153848467 | # Request data from GitHubs API and visualise it
# ! Data is imcomplete, and varies with each call !
import requests
from plotly.graph_objects import Bar
from plotly import offline
# Make an API call and store the response
url = 'https://api.github.com/search/repositories?q=language:python&sort=stars'
headers ... | Thomt0m/Data_Visualisation_Python | web_api_github_python_repos.py | web_api_github_python_repos.py | py | 1,962 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "plotly.offline.plot",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "plotly.offline",
"line_number": 80,
"usage_type": "name"
}
] |
27143843562 | """
This file uses modified code from nvidia apex (https://github.com/NVIDIA/apex)
"""
import torch
import torch.nn as nn
from torch.autograd import Variable
from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
from torch.optim import Optimizer
import copy
class MultiSequential(nn.Sequential):
... | johnolafenwa/TorchFusion-Utils | torchfusion_utils/fp16/fp16.py | fp16.py | py | 40,038 | python | en | code | 15 | github-code | 18 | [
{
"api_name": "torch.nn.Sequential",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 148,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
... |
42370467511 | from flask import Flask, request, render_template, jsonify
from uuid import uuid4
from boggle import BoggleGame
app = Flask(__name__)
app.config["SECRET_KEY"] = "this-is-secret"
# The boggle games created, keyed by game id
games = {}
@app.get("/")
def homepage():
"""Show board."""
return render_template("... | raytene-han/flask-boggle | app.py | app.py | py | 1,389 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "boggle.BoggleGame",
"... |
721566040 | import cv2
from PIL import Image, ImageTk
import numpy as np
from tensorflow import keras
from keras import Sequential
from keras.layers import Dense,Flatten,MaxPool2D,Conv2D,Dropout,MaxPooling2D,BatchNormalization
from keras.preprocessing.image import ImageDataGenerator
from keras.utils import to_categorical, plot_mod... | LTPhat/Emotion-Regconition | emojify.py | emojify.py | py | 4,040 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "keras.models.Sequential",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "keras.models",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "keras.layers.Conv2D",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "keras.layers... |
70221460200 | import os
import tkinter as tk
from tkinter import filedialog
import PyInstaller.__main__
class PyToExeConverter:
def __init__(self, master):
self.master = master
master.title("PyToExe Converter")
# create label to display selected file path
self.file_path_label = tk.Label(master, ... | cyph3rryx/Py-to-Exe | GUI_Based.py | GUI_Based.py | py | 2,073 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "tkinter.Label",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tkinter.Button",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tkinter.Button",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog.askope... |
30673083043 | from flask import Flask, render_template, request
from pymysql import connections
import os
import boto3
from config import *
from datetime import datetime
app = Flask(__name__)
bucket = custombucket
region = customregion
db_conn = connections.Connection(
host=customhost,
port=3306,
user=customuser,
... | Zisan-art/aws-live | EmpApp.py | EmpApp.py | py | 10,906 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pymysql.connections.Connection",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pymysql.connections",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flask.r... |
74011042279 | import sys, unittest
from decimal import Decimal
from datetime import date
from pony.orm import *
from pony.orm.tests.testutils import *
db = Database('sqlite', ':memory:')
class Student(db.Entity):
name = Required(str)
scholarship = Optional(int)
gpa = Optional(Decimal, 3, 1)
dob = Opti... | buhtigexa/Nerit | lib/python2.7/site-packages/pony/orm/tests/test_prefetching.py | test_prefetching.py | py | 3,854 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "decimal.Decimal",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "datetime.date",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "datetime.date",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "datetime.date",
... |
35694482005 | import sys
import json
from secrets import token_hex
from cryptography.fernet import Fernet
non_binary_key = 'KVrqh62j6pNiGkfPe4nUr6W66UMI1JA2d_4lVPgtO3U='
key = non_binary_key.encode()
def encrypt(file_data, filename, key):
f = Fernet(key)
binary_data = file_data.encode()
encrypted_data = f.encrypt(binary... | spc2538/mirra-api-javascript | scripts/encrypt_userkey.py | encrypt_userkey.py | py | 841 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cryptography.fernet.Fernet",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
... |
16509283641 | from django.urls import path
from bookstore.views import user_account_views as account
from bookstore.views import user_detail_views as detail
urlpatterns = [
path('login/', account.MyTokenObtainPairView.as_view(), name='token_obtain_pair'),
path('register/', account.register_user, name='register-user'),
... | Bikash-nath/Bookaholic-v2 | backend/bookstore/urls/user_urls.py | user_urls.py | py | 2,408 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bookstore.views.user_account_views.MyTokenObtainPairView.as_view",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bookstore.views.user_account_views.MyTokenObtainPairView",
"l... |
75155832681 | import streamlit as st
import gdown
import pickle
import os
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import re
from sklearn.feature_extraction.text import TfidfVectorizer
@st.cache_data
def collect():
gdown.download(id = '1GK_KpfUVfdbdJlutyaXX_Sf0uaApqXfN')#ret dat... | Selvamsmail/linkedin_deployment | Linkedin_app.py | Linkedin_app.py | py | 8,361 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "gdown.download",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "streamlit.cache_data",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "gdown.download",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "gdown.downloa... |
13366279477 | # !/usr/bin/python3
# -*- coding: UTF-8 -*-
import redis
import uuid
import time
class MyLock:
def acquire_lock(self, conn, lockname, acquire_lock_time=10, lock_time_out=10):
identifier = str(uuid.uuid4())
print(identifier)
end_time = time.time() + acquire_lock_time
lockname = "... | mymusic56/python-hello-world | demo/mylock.py | mylock.py | py | 1,267 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "uuid.uuid4",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 25,
... |
19672992640 | import logging
from autonetkit.design.utils import filters
from autonetkit.design.utils.graph_utils import connected_components
from autonetkit.network_model.topology import Topology
from autonetkit.network_model.types import DeviceType
logger = logging.getLogger(__name__)
def check_layer2_conn(topology: Topology) ... | sk2/autonetkit | autonetkit/design/validation/validation.py | validation.py | py | 1,036 | python | en | code | 128 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "autonetkit.network_model.topology.Topology",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "autonetkit.design.utils.graph_utils.connected_components",
"line_number": 19,
... |
23841935645 | # Representations abstraites
import matplotlib.pyplot as plt
import numpy as np
import pickle
import params
# # Ouverture des listes
# with open ('liste1', 'rb') as fp:
# l1x = pickle.load(fp)
# with open ('liste2', 'rb') as fp:
# l1y = pickle.load(fp)
# with open ('liste1v', 'rb') as fp:
# l2x = pickle.lo... | gamaievsky/DescripteursHarmoniquesAudio | Comparison.py | Comparison.py | py | 2,477 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "params.color_abstr",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "ma... |
24575590100 | #coding:utf-8
"""
Created on 2018年12月25日
@author: devshilei@gmail.com
"""
import shutil
import os
from PIL import Image
def image_files_all_in_one(source_path, target_path):
"""
Discription: 处理原始图像文件（汇总到一个文件目录下）
@param source_path: 源目录
@param target_path: 目标目录
"""
for root, __,... | devshilei/cell_segmentation | image_preprocess_for_pillow.py | image_preprocess_for_pillow.py | py | 3,935 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.walk",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 2... |
26376746849 | #!/usr/bin/sudo python
from mininet.topo import Topo
from mininet.net import Mininet
from mininet.log import setLogLevel
from mininet.node import OVSKernelSwitch, RemoteController, CPULimitedHost
from mininet.cli import CLI
from mininet.link import TCLink
import os
import threading
import numpy as np
from random impor... | onurklngc/drone-network-onos-and-mininet | 2019-2020/main.py | main.py | py | 23,868 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "mininet.node.RemoteController",
"line_number": 75,
"usage_type": "name"
},
{
"api_name": "mininet.topo.Topo",
"line_number": 83,
"usage_type": "name"
},
{
"api_name": "numpy.rando... |
19092170530 | # Exercicio - Lista de tarefas com desfazer e refazer
# todo = [] -> lista de tarefas
# todo = ['fazer café'] -> Adiciona fazer café
# todo = ['fazer café', 'caminhar'] Adiciona caminhar
# desfazer = ['fazer café',] -> Refazer ['Caminhar']
# desfazer = [] -> Refazer ['caminhar', 'fazer café']
# refazer = todo ['fazer c... | AndersonBasilio/Python | pratica120.py | pratica120.py | py | 3,313 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 89,
"usage_type": "call"
}
] |
21036260432 | #!/bin/python3
# ===========================
# Ar-Ray-code 2022
# ===========================
from PySide2.QtWidgets import QApplication, QWidget, QMessageBox
import sys
import argparse
class QuestionWidget(QWidget):
def __init__(self):
super().__init__()
parser = argparse.ArgumentParser(descript... | Ar-Ray-code/ReadableWidgets | PySide2/pyamlside2/commandline_widgets/question_select.py | question_select.py | py | 1,294 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "PySide2.QtWidgets.QWidget",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PySide2.QtWidgets.QMessageBox",
"line_number": 26,
"usage_type": "call"
},
{
"a... |
18106481732 | import sys, os
import numpy as np
import jax
import jax.numpy as jnp
from jax import random, grad, jit, vmap, jacfwd, jacrev
from functools import partial
class NuclearPotential(object):
def __init__(self, nwalk, pot_name, pot_3b_name):
self.nwalk=nwalk
self.hc = 197.327053
self.alpha = 1 /... | CompPhysics/ComputationalPhysics2 | doc/Programs/NeuralNetworks/NuclearPotential.py | NuclearPotential.py | py | 5,122 | python | en | code | 135 | github-code | 18 | [
{
"api_name": "numpy.sqrt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "jax.numpy.sqrt",
"line_number": ... |
28110287762 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('events', '0004_auto_20150221_2127'),
]
operations = [
migrations.CreateModel(
name='CalendarEvent',
... | mzakany23/django-calendar-app | src/events/migrations/0005_auto_20150222_1810.py | 0005_auto_20150222_1810.py | py | 1,166 | python | en | code | 0 | github-code | 18 | [
{
"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"
},
... |
38267961959 | from github import Github
import csv
import os
def importStageThree(token, strRepo):
g = Github(token)
repo = g.get_repo(strRepo)
#Read commit SHAs from data2.csv
read_file = open('data2.csv', encoding='utf-8')
csvreader = csv.DictReader(read_file)
read_file_header = []
read_file_head... | StefanHNelson0916/github-repo-mining | Stage3.py | Stage3.py | py | 1,310 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "github.Github",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
8488833440 | import pickle
from collections import defaultdict
from random import shuffle
pieces = {"N": ["knight", "night", "nike", "9", "nine", "ninth", "white", "flight", "light", "might"],
"B": ["bishop", "ship"],
"Q": ["queen", "quin", "green", "coin", "korean"],
"K": ["king", "kink", "pin... | karayaman/voice-to-chess-notation | datageneration.py | datageneration.py | py | 4,756 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 93,
"usage_type": "call"
},
{
"api_name"... |
13702225602 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 23 12:04:30 2020
@author: aggarwal
"""
#%%
""""import essential packages"""
import pandas as pd
import numpy as np
from osgeo import gdal
from statsmodels.stats.outliers_influence import variance_inflation_factor
from sklearn.preprocessing import L... | ayush-yadav14/Geospatial-Project-based-on-Landslides-Detection | final_code_ad.py | final_code_ad.py | py | 47,769 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "osgeo.gdal.Open",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "osgeo.gdal",
"line_number": 68,
"usage_type": "name"
},
{
"api_name": "osgeo.gdal.Open",
"line_nu... |
70693630439 | from collections import deque
def bfs():
q = deque([n])
while q:
node = q.popleft()
if node == k:
print(time[node])
return
for i in (node-1, node+1, node*2):
if 0 <= i <= MAX_N:
if not time[i]:
q.append(i)
... | holquew/PS | boj/01697.py | 01697.py | py | 440 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 5,
"usage_type": "call"
}
] |
74838303400 | #!/usr/bin/env python
"""
Select transcript based on their size (i.e size of mature/spliced transcript).
"""
import argparse
import os
import sys
from pygtftk import arg_formatter
from pygtftk.cmd_object import CmdObject
from pygtftk.gtf_interface import GTF
from pygtftk.utils import message
__updated__ = "2018-01-2... | dputhier/pygtftk | pygtftk/plugins/select_by_tx_size.py | select_by_tx_size.py | py | 3,160 | python | en | code | 37 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "pygtftk.arg_formatter.FormattedFile",
"line_number": 25,
"usage_type": "call"
},
{
"api_na... |
36585630415 | import os
import queue
import re
import shutil
from typing import List, Optional, Iterable, Tuple
from sflkit.instrumentation import Instrumentation
from sflkit.instrumentation.file_instrumentation import FileInstrumentation
from sflkit.language.visitor import ASTVisitor
from sflkit.logger import LOGGER
class DirIns... | uds-se/sflkit | src/sflkit/instrumentation/dir_instrumentation.py | dir_instrumentation.py | py | 4,128 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "sflkit.instrumentation.Instrumentation",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sflkit.language.visitor.ASTVisitor",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "sflkit.instrumentation.file_instrumentation.FileInstrumentation",
"... |
26544479110 | import gzip
import codecs
import os
import json
from subprocess import Popen, PIPE
from tqdm import tqdm
import networkx as nx
from collections import defaultdict
from spacy.tokens import Doc
import multiprocess as mp
import pickle
import re
import spacy
import multiprocessing
from pathlib import Path
import pickle
env... | shangqing-liu/GraphSearchNet | graph-based-search/parsers/sourcecode/java/build_java_graph.py | build_java_graph.py | py | 18,659 | python | en | code | 25 | github-code | 18 | [
{
"api_name": "os.environ.copy",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
31178555564 | from email.policy import default
from django.db import models
import uuid
from users.models import Profile
# Create your models here.
# For database tables
class Project(models.Model):
owner = models.ForeignKey(
Profile, null=True, blank=True, on_delete=models.CASCADE)
title = models.CharField(max_l... | shreyan-haldankar/devsociety-dev | projects/models.py | models.py | py | 3,035 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.db.models.Model",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.models.ForeignKey",
"line_number": 11,
"usage_type": "call"
},
{
"api_name... |
9975364936 | import json
from typing import Any
from django.utils.translation import get_language
from rest_framework import serializers
from rest_framework.utils.serializer_helpers import ReturnDict
from my_apps.shop.models import Banner, BasketItem, Category, Faq, Order, Product, Review
class CategorySerializer(serializers.Mo... | alex2011ua/OnlineStore | OnlineStoreDjango/my_apps/shop/api_v1/serializers.py | serializers.py | py | 3,770 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.SerializerMethodField",
"line_number": ... |
22637095569 | import sys
from itertools import combinations
N = int(sys.stdin.readline())
area = [i for i in range(1,N+1)]
human_num = dict()
num = list(map(int,sys.stdin.readline().rstrip().split()))
for i in range(1,N+1) :
human_num[i] = num[i-1]
node = dict()
visited = [0] * (N+1)
for i in range(1,N+1) :
... | jooyun-1/PS_repo | 백준/Gold/17471. 게리맨더링/게리맨더링.py | 게리맨더링.py | py | 1,638 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.stdin.readline",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin.readline",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"li... |
38324446489 | # -*- coding: utf-8 -*-
"""
This module provides functions for several types of feedback
mode 0: Kitaev phase estimation. arxiv: quant-ph/9511026
mode 1: Adaptive repeated phase estimation PRA 63, 053804 (2001)
mode 2: Feedback off, Returns 0.
mode 3: returns a random number depending on m, x
More information can be... | dweigand/qubit-oscillator | feedback.py | feedback.py | py | 17,363 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.use",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 75,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"... |
27909968842 | from kivy.uix.widget import Widget
from kivy.clock import Clock
from runnable import run_on_ui_thread
from kivy.event import EventDispatcher
from jnius import autoclass
from webviewclient ... | xiaoyaoking/kivy-android-webview | src/xyweb/webviewengine.py | webviewengine.py | py | 3,974 | python | en | code | 15 | github-code | 18 | [
{
"api_name": "jnius.autoclass",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "jnius.autoclass",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "jnius.autoclass",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "jnius.autoclass",
... |
70509059560 | from elasticsearch_dsl import (
connections,
Document,
Text, Keyword,
Integer, Long
)
class Job(Document):
custno = Keyword()
jobno = Integer()
description = Keyword() #
job = Keyword() #
# job = Text(index='not_analyzed') # issue: https://github.com/elastic/elasticsearch/issues/2... | d2207197/hack104-rec | hack104_rec/es/mapping.py | mapping.py | py | 2,862 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "elasticsearch_dsl.Document",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "elasticsearch_dsl.Keyword",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "elasticsearch_dsl.Integer",
"line_number": 11,
"usage_type": "call"
},
{
"api... |
2371230061 | from __future__ import (
absolute_import,
division,
print_function
)
import json
import logging
import time
import boto.swf.layer2 as swf
import boto.sqs.connection as sqs
import boto.sqs.queue as sqs_queue
from .state_machine import StateMachine
_LOGGER = logging.getLogger(__name__)
class SWFDecider(... | bfansports/CloudProcessingEngine-Decider | pydecider/swf_decider.py | swf_decider.py | py | 4,265 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "boto.swf.layer2.Decider",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "boto.swf.layer2",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "state_... |
17785978989 | """Support for Xiaomi curtain."""
from typing import Any
from homeassistant.components.cover import (
ATTR_POSITION,
ATTR_CURRENT_POSITION,
ATTR_TILT_POSITION,
CoverEntity,
CoverEntityFeature,
)
from homeassistant.const import (
ATTR_BATTERY_LEVEL,
STATE_CLOSING,
STATE_OPENING,
STAT... | niceboygithub/AqaraGateway | custom_components/aqara_gateway/cover.py | cover.py | py | 8,470 | python | en | code | 387 | github-code | 18 | [
{
"api_name": "core.gateway.Gateway",
"line_number": 52,
"usage_type": "name"
},
{
"api_name": "core.gateway.Gateway",
"line_number": 63,
"usage_type": "name"
},
{
"api_name": "core.const.DOMAIN",
"line_number": 63,
"usage_type": "name"
},
{
"api_name": "homeassis... |
15832116401 | # modules
import numpy as np
import os, sys, subprocess
import sys, subprocess, os
from IPython.display import display, Javascript, HTML, Math, Markdown
# suppress traitlets futurewarning
import warnings
with warnings.catch_warnings():
warnings.simplefilter(action='ignore', category=FutureWarning)
warnings.fi... | keriheuer/rqa | __init__.py | __init__.py | py | 14,248 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "warnings.catch_warnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "warnings.simplefilter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "... |
7468949529 | from configparser import ConfigParser
from os.path import exists as file_exists
config = ConfigParser()
def tbaAppend(tbaSecret):
print(tbaSecret)
config.set('main', 'TBA-KEY', tbaSecret)
with open('settings.ini', 'w+') as f:
config.write(f)
return str(config.get('main', 'TBA-KEY'))
# funct... | miklast/HeatStripe | settingMaker.py | settingMaker.py | py | 1,052 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 21,
"usage_type": "call"
}
] |
12831066413 | from django.test import TestCase
from rest_framework.test import APIClient
from rest_framework import status
from core.models import Recipe, Tag, Ingredient
from django.contrib.auth import get_user_model
from recipe.serializers import RecipeSerializer, RecipeDetailSerializer
from django.urls import reverse
import os
fr... | Gabkings/recipe-app-api | app/recipe/tests/test_recipe_api.py | test_recipe_api.py | py | 11,055 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.reverse",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "core.models.Tag.objects.create",
"line_number": 23,
"usage_type": "call"
},
{
"api_name":... |
41471647050 | from typing import Dict, Optional, Any, List
from helix_fhir_client_sdk.dictionary_writer import convert_dict_to_str
class FhirValidationException(Exception):
def __init__(
self,
*,
request_id: Optional[str],
url: str,
json_data: str,
response_text: Optional[str],
... | icanbwell/helix.fhir.client.sdk | helix_fhir_client_sdk/exceptions/fhir_validation_exception.py | fhir_validation_exception.py | py | 1,489 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "typing.Optional",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"li... |
71489526760 | # USAGE
# python pi_object_detection.py --prototxt MobileNetSSD_deploy.prototxt.txt --model MobileNetSSD_deploy.caffemodel
# import the necessary packages
from multiprocessing import Process
from multiprocessing import Queue
import imutils
from imutils.video import FPS
import numpy as np
import argparse
import time
im... | ivanmonteiro/pi-object-detection | benchmark_simples.py | benchmark_simples.py | py | 1,953 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.dnn.readNetFromTensorflow",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cv2.dnn",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "cv... |
70883532839 | import json
import os
import shutil
import sys
import zipfile
import random
from rich.console import Console
from typing import Any, Optional, TextIO, Literal
JustifyMethod = Literal["default", "left", "center", "right", "full"]
OverflowMethod = Literal["fold", "crop", "ellipsis", "ignore"]
MainConsole = Console()... | EillesWan/RDTM-DevelopmentTools | 处理自动提交的皮肤投稿数据/RyounSkinExcelReader_DatabaseSaver.py | RyounSkinExcelReader_DatabaseSaver.py | py | 15,909 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "typing.Literal",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Literal",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "rich.console.Console",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "typing.Any",
"... |
23333864752 | from nes_py.wrappers import JoypadSpace
import gym_super_mario_bros
from gym_super_mario_bros.actions import SIMPLE_MOVEMENT
from IPython import embed
import gym
from gym.wrappers import *
import matplotlib.pyplot as plt
from ppo import Agent
import numpy as np
import torch
env = gym_super_mario_bros.make('SuperMarioB... | whooooaami/super-mario-with-ai | test_env.py | test_env.py | py | 985 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "gym_super_mario_bros.make",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "nes_py.wrappers.JoypadSpace",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "gym_super_mario_bros.actions.SIMPLE_MOVEMENT",
"line_number": 13,
"usage_type": "ar... |
42172235938 | import time
from datetime import timedelta
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from airflow.utils.dates import timezone
def _sleep():
time.sleep(3)
default_args = {
'owner': 'natchanon',
'start_date': timezone.datetime(2021, 3, 1),
'email': ['airflow... | natchanonDev/Sanbox | dags/test_dag.py | test_dag.py | py | 812 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "time.sleep",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "airflow.utils.dates.timezone.datetime",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "airflow.utils.dates.timezone",
"line_number": 15,
"usage_type": "name"
},
{
"api... |
12967952268 | from __future__ import unicode_literals
from django.core.files.storage import FileSystemStorage
from django.utils.encoding import force_bytes
from mayan.apps.storage.utils import fs_cleanup, mkdtemp
from ..models import Cache
from .literals import (
TEST_CACHE_LABEL, TEST_CACHE_MAXIMUM_SIZE, TEST_CACHE_NAME,
... | Sumit-Kumar-Jha/mayan | mayan/apps/file_caching/tests/mixins.py | mixins.py | py | 2,277 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "mayan.apps.storage.utils.mkdtemp",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.core.files.storage.FileSystemStorage",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "mayan.apps.storage.utils.fs_cleanup",
"line_number": 27,
"us... |
32121578103 | from fastapi import APIRouter, Depends, Request, status, HTTPException, File, UploadFile
from fastapi.responses import JSONResponse
from fastapi.encoders import jsonable_encoder
from sqlalchemy.orm import Session
from fastapi.security import HTTPBearer
from db import get_db
import crud
import models as mod
image_rout... | olympusss/plant | routers/image.py | image.py | py | 2,268 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "fastapi.Request",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "fastapi.Uplo... |
27470767332 | import functools
import os
import os.path as osp
from collections import OrderedDict
from math import cos, pi
from typing import Any, Dict, Union, Optional
import numpy as np
import torch
import torch.nn.functional as F
from scipy.optimize import linear_sum_assignment
from torch import distributed as dist
from torch i... | xiao-pl/ICFMNet | icfm_net/util/utils.py | utils.py | py | 17,196 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dist.get_dist_info",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "torch.distributed.a... |
4819310122 | """
188. Best Time to Buy and Sell Stock IV
You are given an array prices where prices[i] is the price of a given stock on the ith day, and an integer k.
Find the maximum profit you can achieve. You may complete at most k transactions.
Note: You may not engage in multiple transactions simultaneously (i.e., you must s... | tkwang0530/LeetCode | 0188.py | 0188.py | py | 2,239 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "unittest.main",
"line_number": 79,
"usage_type": "call"
}
] |
72527287399 | """
LeukemiaAI demo application.
"""
import gradio as gr
from transformers import pipeline
model = pipeline("image-classification", model="SuperMaker/vit-base-patch16-224-in21k-leukemia")
def predict(img):
"""a simple wrapper around the model pipeline"""
predictions = model(img)
formatted = {}
for l... | MohammedSaLah-Eldeen/LeukemiaAI | LeukemiaAI/app.py | app.py | py | 1,015 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "transformers.pipeline",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "gradio.Blocks",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "gradio.Row",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "gradio.Markdown",
"... |
36924121261 | # fmt: off
import re
import sys
from utils import bits
sys.path.append("..")
# fmt: on
MEM_PATTERN = re.compile(r"mem\[(\d*)\]")
def part_1(instructions):
mask = None
mem = {}
for cmd, value in instructions:
if cmd == "mask":
mask = value
elif cmd.startswith("mem"):
... | eruvanos/2020_AOC | 14/solution.py | solution.py | py | 2,888 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "utils.bits.test_bit",
"lin... |
29979477298 | import logging
from looker_sdk import models
from os import name
import pytest
from lmanage.configurator.folder_configuration import create_folders as cf
from tests import fake_methods_data
input_data = fake_methods_data.input_data
LOGGER = logging.getLogger(__name__)
def test_create_folder(mocker):
# Tests if t... | looker-open-source/lmanage | tests/test_create_folders.py | test_create_folders.py | py | 930 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "tests.fake_methods_data.input_data",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tests.fake_methods_data",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"ap... |
15505835635 | import random
import pytest
from keywords.utils import random_string
@pytest.mark.usefixtures("class_init")
class TestDictionary(object):
@pytest.mark.parametrize("key, value", [
(random_string(5), ""),
(random_string(5), random_string(1)),
(random_string(5), random_string(10)),
(... | couchbaselabs/mobile-testkit | testsuites/CBLTester/CBL_Functional_tests/APITests/test_dictionary.py | test_dictionary.py | py | 9,909 | python | en | code | 14 | github-code | 18 | [
{
"api_name": "pytest.skip",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "keywords.utils.ran... |
71427487400 | # This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O... | aorursy/new-nb-3 | jahanpour_dive-into-cats.py | jahanpour_dive-into-cats.py | py | 2,383 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_dict",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pandas.Dat... |
17091100879 | import matplotlib.pyplot as plt
from scipy.io import netcdf_file
ncf = netcdf_file('KTLX_20100510_22Z.nc')
data = ncf.variables['Reflectivity']
lats = ncf.variables['lat']
lons = ncf.variables['lon']
i = 0
fig, ax = plt.subplots(1, 1)
im = ax.imshow(data[i], origin='lower',
extent=(lons[0], lons[-1], l... | JeanBilheux/python_101 | matplotlib/code/simple_radar_viewer.py | simple_radar_viewer.py | py | 512 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "scipy.io.netcdf_file",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matp... |
24772769790 | import csv
import logging
import string
import six
from ..core.qt import QtCore, Qt
from camelot.view.controls import delegates
from camelot.admin.action.list_action import DeleteSelection
from camelot.admin.object_admin import ObjectAdmin
from camelot.admin.table import Table
from camelot.admin.action import Action,... | Platanen/camelot | camelot/view/import_utils.py | import_utils.py | py | 16,346 | python | en | code | null | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "string.ascii_uppercase",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "camelot.admin.action.Action",
"line_number": 93,
"usage_type": "name"
},
{
"api_nam... |
72394477159 | from setuptools import setup, find_packages
import sys, os
import src
from src.versionConfig import version, versionComment
# Load long_description from README.txt
here = os.path.dirname(__file__)
readme_txt = os.path.join(here, 'README.md')
long_description = '\n\n' + open(readme_txt).read()
setup(name='cmip-utiliti... | cedadev/cmip_utilities | Package/setup.py | setup.py | py | 1,210 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8... |
74625861798 | import os
import time
import numpy
import scipy.io
import datetime
from .learn import learn
from .test import test
from .result_to_db import data_to_db
from algorithm_demo import settings
from django.core.cache import cache
def l21_cmnmf(parameter_cell):
# parse parameter
method_dir = parameter_... | Index-Out-Of-Range/grad_project_demo | HMNMF_Codes/L21_CMNMF/L21_CMNMF.py | L21_CMNMF.py | py | 6,796 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "scipy.io.io.loadmat",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "scipy.io.io",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "scipy.io",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "numpy.shape",
"line... |
39005737404 | import sys
import requests
from PyQt5.QtWidgets import QApplication, QMainWindow, QWidget, QVBoxLayout, QListWidget, QPushButton, QLabel, QLineEdit
from PyQt5.QtMultimedia import QMediaPlayer, QMediaContent
from PyQt5.QtCore import QUrl
# Deezer API credentials
# ini adalah baris kode untuk memasukan api dari... | itshusni29/musicAPI | apps/main.py | main.py | py | 5,711 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtMultimedia.QMediaPlayer",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 30,
"usage_type": "call"
},
{
... |
10824371971 | import argparse
import os
import logging
import model
import util
import torch
def main():
###############################################################################
# Load data
###############################################################################
d = util.Dictionary()
if args.task =... | elisaF/pytorch-jimodel | main.py | main.py | py | 6,187 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "util.Dictionary",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "util.read_corpus",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.info",
"lin... |
42908292665 | import time
from functools import wraps
from pathlib import Path
from typing import List
import numpy as np
from tqdm import tqdm
import torch
import sys
sys.path.append("/home/user/yolov7")
from utils.datasets import letterbox
from utils.general import check_img_size, non_max_suppression, scale_coords
from torchvisio... | TimHiemstra/ISMI_TIGER | Docker/tigeralgorithmexample/processing.py | processing.py | py | 6,806 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number"... |
8857131929 | import os
import streamlit as st
import numpy as np
import pandas as pd
from pathlib import Path
import pickle
from PIL import Image
import matplotlib.pyplot as plt
from wordcloud import WordCloud
import plotly.express as px
from concurrent.futures import ThreadPoolExecutor
from datetime import datetime
fro... | saldanhad/freecodecampmlapp | Dashboard.py | Dashboard.py | py | 6,929 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.getenv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "azure.storage.blob.BlobServiceClient.from_connection_string",
"line_number": 22,
"usage_type": "call"
},
{
"a... |
29043204043 | from django.db import models
class Thing(models.Model):
"""
A representation of a thing.
"""
THING_URL_NONE = 'NO'
THING_URL_INTERNAL = 'INT'
THING_URL_EXTERNAL = 'EXT'
THING_URL_TYPES = (
(THING_URL_NONE, 'No URL'),
(THING_URL_INTERNAL, 'Internal URL (uses slug)'),
... | maxwelld90/dmax_website | website_project/things/models.py | models.py | py | 4,327 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.models.Model",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "django.db.models.SlugField",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": ... |
39759596384 | try:
from others.others import make_tuple, \
compute_conv_output_shape, \
stride_tensor, \
pad_tensor, \
unpad_tensor, \
unstride_tensor
except ImportError:
from ... | giltinde/deep-learning-project | Proj_302882_335482_343955/Miniproject_2/model.py | model.py | py | 37,941 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.set_grad_enabled",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.empty",
"line_number": 322,
"usage_type": "call"
},
{
"api_name": "torch.empty",
"line_number": 323,
"usage_type": "call"
},
{
"api_name": "torch.empty",
"l... |
26926921962 | # Start page: http://www.pythonchallenge.com/pc/def/oxygen.html
import os
from PIL import Image, ImageDraw
from common import EXTERNAL_FOLDER, IGNORE_FOLDER, download_file
from pprint import pprint
file_name = 'oxygen.png'
file_url = f'http://www.pythonchallenge.com/pc/def/{file_name}'
file_path = f'{EXTERNAL_FOLDE... | MysterGoN/python-challenge | lvl-07.py | lvl-07.py | py | 940 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "common.EXTERNAL_FOLDER",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "common.download_fi... |
22154880702 | import json
import pathlib
from typing import Optional, Dict
from eval.data import TerminationOutcome
from ._tool import Tool
class PET(Tool):
def __init__(self, core):
self.core = core
def parse_outcome(self, stdout: str, stderr: str) -> Optional[TerminationOutcome]:
output = json.loads(std... | incaseoftrouble/qcomp-2023-stochastic-games-models | eval/tools/pet.py | pet.py | py | 1,360 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "_tool.Tool",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "eval.data.TerminationOutcome",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
... |
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