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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
19239212432 | import sys
input = sys.stdin.readline
from collections import deque
N = int(input())
pair = [[] for _ in range(N+1)] # 자식, 부모 알 수 없기에 이중 리스트에 둘 다 담아두기
for _ in range(N-1):
a, b = map(int, input().split())
pair[a] += [b]
pair[b] += [a]
visited = [0, 1] + [0] * (N-1) # 자식의 부모 노드를 담아두는 역할을 할 것
parent = deq... | sdh98429/dj2_alg_study | BAEKJOON/tree/b11725.py | b11725.py | py | 828 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdin",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 15,
"usage_type": "call"
}
] |
2139778094 | import os,sys
import numpy as np
import codecs
from pyqtgraph.Qt import QtGui, QtCore
import pyqtgraph as pg
import pyqtgraph.opengl as gl
if len(sys.argv) !=2:
print("Usage: afshow x-samples")
exit(0)
# number of FFT samples
x_samples = int(sys.argv[1])
## Create a GL View widget to display data
app = QtGui.QAppl... | NazimAliev/public | embedded/gpu-fft2d-rpi/afshow.py | afshow.py | py | 1,816 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pyqtgraph.Qt.QtGui.QApplication",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pyqtgraph.... |
17195331607 | import threading
from queue import Empty
from .utils import db
def call_clsinit(*args, **kwargs):
cls = type(*args, **kwargs)
cls._clsinit()
return cls;
class DynamoMasterScheduler(threading.Thread):
def __init__(self, input_queue, **kwargs):
if "output_queues" in kwargs:
kwargs.pop("output_queues... | ganton000/Concurrency | wiki-reader/workers/DynamoWorker.py | DynamoWorker.py | py | 1,396 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "threading.Thread",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "queue.Empty",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "utils.db.create_table",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "utils.db",
... |
36256668865 | from flask import Flask, jsonify, request
app = Flask(__name__)
data = [
{
"Contact": '0000000000',
"Name": 'Vampire',
"done": False,
"id": 1
},
{
"Contact": "1111111111",
"Name": "Zombie",
"done": False,
"id": 2
}
]
@app.route("/app-dat... | Hriddhiman17/Project124 | Project124.py | Project124.py | py | 634 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.request.json",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "flask.jsonify",
... |
30310784371 | import os
import tensorflow as tf
from config.config_Faster_RCNN import cfg
import random
import numpy as np
import skimage.io
from utils.faster_rcnn.anchors import all_anchor_conner, anchor_labels_process
import cv2
import xml.etree.ElementTree as ET
class preprocess:
def __init__(self, is_train=True):
#... | kwonsungil/Faster-RCNN | utils/faster_rcnn/load_coco.py | load_coco.py | py | 20,271 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "config.config_Faster_RCNN.cfg.num_classes",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "config.config_Faster_RCNN.cfg",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "config.config_Faster_RCNN.cfg.data_dir",
"line_number": 19,
... |
21296040236 | # -*- coding: utf-8 -*-
from diaryday import*
from diarydraw import*
#import datetime
import calendar
import pyecharts
from pyecharts import options as opts
from pyecharts.charts import Bar, Line, Pie,Grid, Page, WordCloud, Calendar
from pyecharts.faker import Faker
from pyecharts.globals import ThemeType
from pyechar... | NingChenhui/Mirror | diarymonth.py | diarymonth.py | py | 11,886 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyecharts.globals",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "calendar.monthrange",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pyecharts.charts.Bar",
"line_number": 115,
"usage_type": "call"
},
{
"api_name": "pyec... |
4931790964 | # -*- coding: utf-8 -*-
import torch
import sys
from collections import deque
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.autograd import Variable
import numpy as np
import cv2
import math
import random
sys.path.append("game/")
import wrapped_flappy_bird as game
clas... | wondervictor/DeepQLearning | dqn.py | dqn.py | py | 6,088 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"li... |
43263500213 | # Creating a Matrix in Python
import matplotlib.pyplot as plt
import numpy as np
from numpy import linalg as LA, linspace
# We use the np.array for matrices
n = 5
d1 = np.diag(np.ones(n)*2, k=0) # 5X5 matrix with diagonal 2s
d2 = np.diag(np.ones(n-1), k=1) # 5X5 matrix with diagonal 1s shifted right
d3 = np.diag(np.... | UW-ParksidePhysics/Kliger-Rhett | Problem3_Chapter2_00.py | Problem3_Chapter2_00.py | py | 1,001 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.diag",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.diag",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 9,
... |
28211497499 | # Integrations with other Python libraries
import os
try:
import comet_ml # noqa: F401
_has_comet = True
except (ImportError):
_has_comet = False
try:
import wandb
wandb.ensure_configured()
if wandb.api.api_key is None:
_has_wandb = False
wandb.termwarn("W&B installed but... | timonziegenbein/sufficiency-assessment-generation | src/repo/transformers/src/transformers/integrations.py | integrations.py | py | 1,424 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "wandb.ensure_configured",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "wandb.api",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "wandb.termwarn",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.getenv",
... |
71844575548 | import vrep
import sys
import time
import cv2
import numpy as np
import math
def nothing(x):
pass
def objectSelection(image_RGB,resolution_RGB):
img = np.array(image_RGB, dtype=np.uint8)
img.resize([resolution_RGB[0], resolution_RGB[1], 3])
img = np.flipud(img)
img = cv2.cvtColor(img, cv2.COLOR_RGB... | KuzMu/A-motion-algorithm-gripper-device-V-Rep-and-Python | Trial_code.py | Trial_code.py | py | 14,088 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.flipud",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_nu... |
38261821771 | import ast
import json
from api_define import person_index
from orm import user, main_task, child_task, model_to_dict
class PersonIndex(person_index):
"""
个人页
{"MyTask":[{
"project":"实验室任务管理",
"actor":"组长",
"OnePer":"60%"
}],
"percent":"60%"
}
"""
def entry(self, req... | wangxinyu666666/task_manage | Vue/tornado/person/person_index.py | person_index.py | py | 2,058 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "api_define.person_index",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "orm.user.select",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "orm.user",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "orm.user.mainID",
... |
18294285256 | import numpy as np
import itertools
import time
class StarConstructor:
def __init__(self, size=10, star_count=1):
self.size = size
self.star_positions = []
self.star_count = star_count
# all neighbour calculations except [0, 0]
self.neighbours_calc = np.array([[i, j] for i,... | MayuriXxx/starbattlesrevive | StarBattlesRev/StarConstructor.py | StarConstructor.py | py | 5,575 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_num... |
22206427575 | import numpy as np
from tqdm import tqdm
import tensorflow as tf
from models.mf import mf
from models.predictor import predict
from evaluation.metrics import evaluate
from utils.progress import WorkSplitter
from utils.regularizers import Regularizer
from scipy.sparse import vstack, lil_matrix
from utils.io import sampl... | dgliu/TKDE_KDCRec | LR/models/refine_mf.py | refine_mf.py | py | 11,264 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "tensorflow.contrib",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.variable_scope",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "tensorflow.placeholder",
"line_number": 46,
"usage_type": "call"
},
{
"api_name... |
2113655613 | import ast
import argparse
import sys
from copy import deepcopy
import random
exec_lines = list()
if_stmt = dict()
cond_taken = set()
def trace_file_execution(file_name, args):
with open(file_name) as f:
code = compile(f.read(), file_name, 'exec')
def trace_lines(frame, event, arg):
if event ==... | potatmen/pycoverage | pcov.py | pcov.py | py | 4,265 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ast.Expression",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sys.settrace",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "sys.settrace",
"line_nu... |
73028235387 |
from django.utils.text import slugify
from accounts.models import Account
from orders.views import payment
from store.models import Product, Variation
from orders.models import Order, OrderProduct, Payment
from store.views import product_detail
from .forms import CategoryForm, ProductForm, OrderForm,VariationForm... | azadranjith/gastyle-e-commerce-app | gaadmin/views.py | views.py | py | 8,777 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "django.contrib.auth.authenticate",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.login",
"line_number": 40,
"usage_type": "call"
},
{
"ap... |
33806686855 | import os
import joblib
import argparse
import numpy as np
import pandas as pd
from azureml.core.run import Run
from azureml.core import Dataset
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split
def load_data(input_data, ws):
# Get the input dataset by name
... | sudipta002/Capstone_Project_Azure_ML_Engineer | train.py | train.py | py | 1,725 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "azureml.core.Dataset.get_by_name",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "azureml.core.Dataset",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 24,
"usage_type": "call"
... |
5358971033 | from django.shortcuts import render,redirect
from django.views import View
from .models import *
from django.contrib.auth.mixins import LoginRequiredMixin
from django.contrib import messages
from .forms import *
from django.urls import reverse_lazy
import string
import random
class AllClass(LoginRequiredMixin,View)... | NijoNinan/Classroom-Manager | TheSchool/classes/views.py | views.py | py | 8,199 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.views.View",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.contrib.messages.error",
"line_number": 28,
"usage_type": "call"
... |
33792741895 | from django.urls import include, path
from . import views as v
urlpatterns = [
path('', v.home, name="home"),
path('add_item/', v.add_item, name="add_item"),
path('edit_item/<task_id>', v.edit_item, name="edit_item"),
path('done_task/<task_id>', v.done_task, name="done_task"),
path('undone/<task_id... | Sudipta-Trisha/To-do-List | to_do_list/to_do/urls.py | urls.py | py | 407 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
26598396071 | import pybullet as p
import pybullet_data
import time
physicsClient = p.connect(p.GUI)
p.setAdditionalSearchPath(pybullet_data.getDataPath())
p.setGravity(0,0,-10)
p_ID = p.loadURDF("plane.urdf")
sphere_orien = p.getQuaternionFromEuler([0,0,0])
######## here, we started the fbonacci series from 1 ...
d... | AYUSH-ISHAN/Robo_Camp_Pybullet_Simulations | Week 1/Subpart 3/Fibonacci Series/Week1_Subpart3_BonusTask.py | Week1_Subpart3_BonusTask.py | py | 1,227 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pybullet.connect",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pybullet.GUI",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pybullet.setAdditionalSearchPath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pybu... |
72758333308 | import json
import os
from mgba.gba import GBA
from shutil import copyfile
# KEYMAP = {GBA.KEY_A: 'a', GBA.KEY_B: 'b', GBA.KEY_SELECT: 'select', GBA.KEY_START: 'start', GBA.KEY_RIGHT: 'right', GBA.KEY_LEFT: 'left', GBA.KEY_UP: 'up', GBA.KEY_DOWN: 'down', GBA.KEY_R: 'r', GBA.KEY_L: 'l'}
KEY_TURBO = 10
KEY_SETTINGS_NEX... | BFriedrichs/switch-gba | src/backend/layout.py | layout.py | py | 833 | python | en | code | 88 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
18101119164 | from unittest import main, TestCase
from typing import List
class Solution:
def maxArea(self, height: List[int]) -> int:
max_area, i, j = 0, 0, len(height) - 1
while i < j:
# calc area
area = min(height[i], height[j]) * (j - i)
# update max_area
if a... | hirotake111/leetcode_diary | leetcode/container_With_Most_Water/solution.py | solution.py | py | 744 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "unittest.main",
"line_number": 31,
"usage_type": "call"
}
] |
35925653609 | from typing import Optional, Any, Union, Dict
import time
import matplotlib.pyplot as plt
import numpy as np
import keras.backend as K
import tensorflow.keras as keras
import tensorflow as tf
import pandas as pd
import random
# import numpy as np
# import keras.backend as K
# from keras.layers import Dense, Activation
... | philine-bommer/Climate_X_Quantus | CphXAI/cphxai/src/utils/utilities_network.py | utilities_network.py | py | 10,579 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.keras.callbacks",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "time.time"... |
21402429735 | import os
import argparse
import inspect
class Configuration:
def __init__(self, **kwargs):
self.update(kwargs)
def update(self, config_options):
for k, v in config_options.items():
setattr(self, k, v)
def __repr__(self):
content = []
for k, v in self.__... | cedricrupb/ctxmutants | config.py | config.py | py | 4,047 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5... |
7899138141 | import time
import urllib.parse
import urllib.request
import json
from influxdb import InfluxDBClient
def queryPrice(srick_id, stock_name):
# 初始化
client = InfluxDBClient('localhost', 8086, 'root', '', 'stock')
url='https://wechatapp.futu5.com/stock/basic-quote'
values = {
'stock_ids': srick_id... | Carty090616/python | stock/utils.py | utils.py | py | 2,246 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "influxdb.InfluxDBClient",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse.urlencode",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_n... |
43786446969 | from math import atan2
from enum import Enum
from nav_msgs.msg import Path
from std_msgs.msg import Bool
from geometry_msgs.msg import Point, Twist, PoseWithCovarianceStamped
from tf.transformations import euler_from_quaternion
import rospy
from basic_def import *
import numpy a... | KaiChen1008/Sim-to-Real-Virtual-Guidance-for-Robot-Navigation | planner_module/ball_generator.py | ball_generator.py | py | 4,687 | python | en | code | 72 | github-code | 6 | [
{
"api_name": "rospy.Subscriber",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "nav_msgs.msg.Path",
"line_number": 39,
"usage_type": "argument"
},
{
"api_name": "rospy.Subscriber",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "geometry_msgs... |
8413665094 | import requests
import json
from ..common.settings import policy_url, api_url, headers
class Policy:
def new(self, policy_dict):
if type(policy_dict) is dict:
self.__dict__ = policy_dict
else:
print("The Policy object takes an agrument of a dictionary defining the... | Cirorules/volumezsdk | volumezsdk/core/policies.py | policies.py | py | 3,123 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "common.settings.headers",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "common.settings.api_url",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "common.s... |
6727955181 | #!/usr/bin/env python3
"""
Edit feature files by adding a prefix to the file and columns names.
This is to make each file unique, which is neccesary to run PoPs.
Author - Stijn Arends
Date - 15-6-2022
"""
import multiprocessing as mp
import pandas as pd
import os
from pathlib import Path
import argparse
import sys
... | molgenis/benchmark-gwas-prio | prioritization_methods/PoPS/rename_file_contents.py | rename_file_contents.py | py | 5,835 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "os.rename",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number":... |
30062005061 | import sys
import pygame
import math
import random
import time
from pygame.locals import *
pygame.init()
# screen variables
screen_width = 1200
screen_height = 600
screen_size = (screen_width, screen_height)
# colors
black = (0, 0, 0)
grey = (94, 92, 92)
white = (255, 255, 255)
red = (239, 33, 33)
# set the screen ... | liangdrew/Glide | pygame_simulation/glider_simulation.py | glider_simulation.py | py | 4,299 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "pygame.Surface... |
10774941779 | from itertools import permutations
from collections import deque
data = [int(d) for d in open('2019/07-input.txt').read().split(',')]
def pad(d):
p = '0' * (5 - len(str(d))) + str(d)
return map(int, (p[0], p[1], p[2], p[3:]))
class IntCodeComputer:
pc = 0
data: list = None
stdin: deque = None
... | knjmooney/Advent-Of-Code | 2019/07-intcode3.py | 07-intcode3.py | py | 2,816 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "itertools.permutations",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "collection... |
13250365793 | # -*- coding: utf-8 -*-
from typing import Optional, Callable, Any
import jarpc
try:
import requests
except ImportError:
requests = None
class RequestsTransport:
"""
Transport to make rpc as HTTP request using requests library.
To use this transport you need to install "requests" package.
"... | hicebank/jarpc-clients | jarpc_clients/requests_client.py | requests_client.py | py | 4,115 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Optional",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "requests.Session",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "jarpc.JarpcRequest",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "typing.Optio... |
29669305450 | # coding=utf-8
import io
from pypise import __version__
from setuptools import find_packages, setup
with io.open("README.md", encoding='utf-8') as f:
long_description = f.read()
setup(
name='pypise',
version=__version__,
description='WebUI automation testing framework based on Selenium and unittest.'... | gerrywen/pypise | setup.py | setup.py | py | 978 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "io.open",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pypise.__version__",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "setuptools.find_packages",... |
40315959615 | ##########################
# Imports
##########################
import fileinput
import re
from itertools import cycle
from collections import deque
##########################
# Read input - 10 players; last marble is worth 1618 points: high score is 8317
##########################
gameInfo = []
for line in fileinput.... | hdd2k/adventOfCode | 2018/09/9.py | 9.py | py | 1,465 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "fileinput.input",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 26,
"usage_type": "call"
}
] |
40673412083 | import getopt
import logging
import os
import platform
import re
import shutil
import socket
import subprocess
import sys
import threading
import time
import webbrowser
# Initialize the lock
lock = threading.Lock()
# Dictionary to maintain k8s services whether they are Running or not
k8s_obj_dict = {}
# Build context ... | magma/magma | cn/deploy/scripts/mvc1_5g_orc8r_deployment_script.py | mvc1_5g_orc8r_deployment_script.py | py | 18,251 | python | en | code | 1,605 | github-code | 6 | [
{
"api_name": "threading.Lock",
"line_number": 15,
"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_num... |
34804060844 | # Code borrowed from:
# https://www.edureka.co/blog/web-scraping-with-python/
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from bs4 import BeautifulSoup
from PIL import... | lmendes14/Genre-Predictor | scraper.py | scraper.py | py | 7,343 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 19,
"usage_type": "call"
},
{
"api... |
23019706105 | import torch
import torch.nn as nn
import torch.nn.functional as F
class SceneRecognition(nn.Module):
def __init__(self):
super().__init__()
kernel1 = torch.tensor([[-1,0,+1],[-2,0,+2],[-1,0,+1]]).repeat(1,1,1).type(torch.float)
kernel2 = torch.tensor([[-1,-2,-1],[0,0,0],[+1,+2,+1]]).repea... | jfrancis71/PyGenBrix | hippocampus/scene_recognition.py | scene_recognition.py | py | 679 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.tensor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.float",
"line_numbe... |
39221869249 | import os
import openai
import time
import warnings
import shutil
from google.colab import drive
from IPython.display import clear_output
import requests
import json
from typing import List, Union, Optional, Dict
from pathlib import Path
from rich import print, panel as rich_panel, text as rich_text, console as rich_co... | keirVQGAN/yetiChat | yetiChat.py | yetiChat.py | py | 4,158 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rich.console.Console",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "rich.console",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "requests.post",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"lin... |
73738509946 | from skimage import feature, io, filters, transform, segmentation
import matplotlib.pyplot as plt
img_file = "../data/similar_objects/4.JPG"
# load the image and convert it to a floating point data type
image = io.imread(img_file)
image = transform.rescale(image, 0.1)
segm_f = segmentation.quickshift(image)
plt.ims... | m3rik/nn | CNTK/GeneralizedHoughTransform/other_segm_methods.py | other_segm_methods.py | py | 342 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "skimage.io.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "skimage.io",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "skimage.transform.rescale",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "skimage.transform... |
21940370439 | r"""Utlities for fixing lints.
Convenience functions for writing general fix functions for style lints. Opening
and closing files, modifying contents, all should happen in the fix function
callback.
Fix functions are run as `fn(lint_args, *fix_args)` and executed once for each
unique fn-args pair. Callbacks passed th... | tensorflow/docs | tools/tensorflow_docs/tools/nblint/fix.py | fix.py | py | 1,690 | python | en | code | 5,917 | github-code | 6 | [
{
"api_name": "typing.Dict",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Pattern",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "re.sub",
"line_number": 27,... |
32043924355 | # -*- coding: utf-8 -*-
"""
Created on Mon Jan 14 17:31:50 2019
@author: Michael
"""
#importig the necessary datasets
from keras.applications import VGG16
from keras.applications import imagenet_utils
from keras.preprocessing.image import load_img, img_to_array
from sklearn.preprocessing import LabelEncode... | Monarene/CV-Deep-learning-Pracittioner | extract_features.py | extract_features.py | py | 2,128 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.seed",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "imutils.paths.list_images",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "imutils.paths",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "random.shuffle",
... |
29353397236 | import copy
from typing import Dict
from pyzeebe.errors import NoZeebeAdapterError
from pyzeebe.job.job_status import JobStatus
class Job(object):
def __init__(
self,
key: int,
_type: str,
process_instance_key: int,
bpmn_process_id: str,
process_definition_version:... | Andy-JB/pyzeebe | pyzeebe/job/job.py | job.py | py | 6,049 | python | en | code | null | github-code | 6 | [
{
"api_name": "typing.Dict",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "pyzeebe.job.job_status.JobStatus",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "pyzeebe.job.... |
18598166605 | from __future__ import annotations
from data_access.dto import SponsorTeamDTO
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from fake_lib.providers import (
RandomValueFromListProvider,
DatesRangeProvider
)
class SponsorTeamFactory:
def __init__(
self,
sponsor_... | pyteacher123/py35-onl | sports_db_project/populate_db/factories/sponsor_team.py | sponsor_team.py | py | 985 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "fake_lib.providers.RandomValueFromListProvider",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "fake_lib.providers.RandomValueFromListProvider",
"line_number": 15,
"u... |
35909142384 | import tensorflow as tf
import numpy as np
import keras
from keras.utils import plot_model
import matplotlib.pyplot as plt
import globals as g
#Load model and test data
model_path = g.chooseModel()
model = keras.models.load_model(model_path)
(x_train, y_train), (x_test, y_test) = g.getNormalizedData()
#Te... | noam1364/Convolutional-Neural-Networks | mnistCNN/testModel.py | testModel.py | py | 708 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "globals.chooseModel",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "keras.models.load_model",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "keras.models",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "globals.... |
17405770257 | # -*- coding: utf-8 -*-
import os.path
import torch
import torch.nn as nn
from torchvision import models, transforms
from torch.autograd import Variable
import numpy as np
from PIL import Image
import json
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "0"
feature_path = 'Resnet34.jsnol'
def... | mendy-2013/JSFR | backbone/feature_extraction.py | feature_extraction.py | py | 1,846 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": ... |
71151722747 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import obspy
import numpy as np
import warnings
from matplotlib import pyplot as plt
from matplotlib import dates as md
from scipy.signal import stft, istft, hanning
from statsmodels import robust
from obspy.core.trace import Trace
from . import logtable
from . import ma... | leonard-seydoux/covnet | covnet/data.py | data.py | py | 22,670 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "warnings.catch_warnings",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "warnings.simplefilter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "obspy.core",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "matplot... |
26234877427 | from collections import defaultdict
def get_unique_neighbours(state):
"""
returns a set of tuples containing a pair of rooms if they are next to eachother and the direction from 0 to 1
removes duplicates. e.g. (room2,room3), (room3,room2)
"""
neighbours = set()
for item in state:
if it... | japhster/Adgen | state_functions.py | state_functions.py | py | 4,506 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 97,
"usage_type": "call"
}
] |
8494193042 | from typing import List, Optional
from heapq import heappush, heappop
class ListNode:
def __init__(self, val=0, next=None):
self.val: int = val
self.next: ListNode = next
def print_listnode(self):
while self:
print(self.val, "->", end = '')
self = self.next
... | NicoloTartaggia/LeetCode | Hard/23.Merge_k_sorted_lists/merge_k_sorted_lists.py | merge_k_sorted_lists.py | py | 1,228 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "heapq.heappush",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_... |
19115267944 | import datetime
import re
import plugins.qlprofile as qlprofile
import minqlbot
import threading
LENGTH_REGEX = re.compile(r"(?P<number>[0-9]+) (?P<scale>seconds?|minutes?|hours?|days?|weeks?|months?|years?)")
TIME_FORMAT = "%Y-%m-%d %H:%M:%S"
DEFAULT_REASON = "Reason not specified."
class ban(minqlbot.Plugin):
d... | razers3dge/Modified-QL-Minobot | plugins/ban.py | ban.py | py | 13,999 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "minqlbot.Plugin",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "minqlbot.PRI_HIGH",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "minqlbot.RET_ST... |
41247248323 | import json
import os
from flask import flash, redirect, render_template, request, url_for
from flask_login import login_required, login_user, logout_user
from werkzeug.security import check_password_hash, generate_password_hash
from werkzeug.utils import secure_filename
from data.sql_alchemy import database as db
from... | claudionorjr/test-Serasa | src/routes.py | routes.py | py | 5,788 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "data.sql_alchemy.database.session.add",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "data.sql_alchemy.database.session",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "data.sql_alchemy.database",
"line_number": 15,
"usage_type":... |
74021856829 | import pytest
import sys
from unittest.mock import patch, sentinel
from autocommand import autocommand
autocommand_module = sys.modules['autocommand.autocommand']
def _asyncio_unavailable():
try:
import asyncio
# This is here to silence flake8 complaining about "unused import"
assert as... | Lucretiel/autocommand | test/test_autocommand.py | test_autocommand.py | py | 3,877 | python | en | code | 51 | github-code | 6 | [
{
"api_name": "sys.modules",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pytest.mark.skipif",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "unittest.mock.pat... |
71803059069 | # -*-coding:utf-8-*-
from flask_restful import Resource, reqparse
from models.job import JobModel
from flask import jsonify
import json
class Job(Resource):
def __init__(self):
self.parser = reqparse.RequestParser()
def get(self, id):
obj = JobModel.get_by_id(id)
if obj:
... | isteven-xu/etlx-web | api/job.py | job.py | py | 2,476 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask_restful.Resource",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "flask_restful.reqparse.RequestParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_restful.reqparse",
"line_number": 10,
"usage_type": "name"
},
{
... |
26113297615 | __authors__ = ["T. Vincent"]
__license__ = "MIT"
__date__ = "03/10/2017"
import time
import logging
from silx.gui import qt
from silx.gui.icons import getQIcon
from .Plot3DAction import Plot3DAction
_logger = logging.getLogger(__name__)
class _SetViewpointAction(Plot3DAction):
"""Base class for actions setti... | silx-kit/silx | src/silx/gui/plot3d/actions/viewpoint.py | viewpoint.py | py | 6,642 | python | en | code | 106 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "Plot3DAction.Plot3DAction",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "silx.gui.icons.getQIcon",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "s... |
12637037784 | import matplotlib.pyplot as plt
import numpy as np
# Pontos A, B e C
points = {'A': (3, 2), 'B': (6, 8), 'C': (7, 3)}
# Coordenadas do ponto C
C = (7, 3)
# Adicionando ponto C aos pontos
points.update({'C': C})
# Definindo os pares de pontos para os lados do triângulo
triangle_sides = [('A', 'B'), ('B'... | Raikyr4/Estudos_Computcao_Grafica | Lista01/05.py | 05.py | py | 2,089 | python | pt | code | 1 | github-code | 6 | [
{
"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.xlim",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "mat... |
71881724668 | import logging
import types
from exceptions_ import BucketValueMissingException, \
EndOfFileReachedException, \
FileIsClosedException, \
FileNotFoundException, \
InternalStorageOperationException, \
UnsupportedProviderException
from model.block import Block
from model.descriptor import Descriptor
i... | SafeBreach-Labs/AltFS | AltFS.py | AltFS.py | py | 25,471 | python | en | code | 54 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "exceptions_.... |
27214292975 | from setuptools import setup, find_packages
__version__ = '1.0.0'
setup(name='snacky',
version=__version__,
description='',
author='Hans Daigle',
author_email='hansdaigle@me.com',
url='https://github.com/HansDaigle/snacky',
packages=find_packages(),
install_requires=["fastapi... | HansDaigle/snacky | setup.py | setup.py | py | 365 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 11,
"usage_type": "call"
}
] |
36446308422 | from date_processing import *
from data_getter import *
from database_model import *
import plotly
import plotly.graph_objs as go
import warnings
warnings.filterwarnings("ignore")
class Morkov:
def __init__(self, begin, type_name, period, num):
self.num = num
self.period = period
self.typ... | atonyxu/fog_private | Morkov.py | Morkov.py | py | 1,939 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objs.Scatter",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objs",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "pl... |
8185924307 | from pyautogui import moveTo, click, rightClick, write, keyDown, keyUp, hotkey, scroll
import pyautogui
import pyperclip
import re
import time
from threading import Thread, Event
import sys
unmutestoploop = Event()
def send(message1):
pyautogui.moveTo(189, 20, 0.1)
pyautogui.click()
pyautogui.m... | BainBan/Makise-Kurisu-MD-a-whatsapp-bot-with-mute-unmute-chatgpt | main.py | main.py | py | 8,532 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "threading.Event",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyautogui.moveTo",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pyautogui.click",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyautogui.moveTo",
... |
70501170109 | from traceback import print_exc
from flask import Flask, request, jsonify
from trasto.infrastructure.awsmultiprocess.accion_repository import \
AccionRepository
from trasto.infrastructure.awsmultiprocess.comando_repository import \
ComandoRepository
from trasto.infrastructure.memory.repositories import (Esta... | jpardobl/jpardobl-trastobrain | trasto/application/web_multi.py | web_multi.py | py | 2,497 | python | es | code | 18 | github-code | 6 | [
{
"api_name": "trasto.infrastructure.memory.repositories.LoggerRepository",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "trasto.infrastructure.awsmultiprocess.accion_repository.AccionRepository",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.Flask",... |
17431045500 | import requests
import random
from random import seed, randint
import time
import string
from datetime import datetime
username = str(input("Username: "))
phrase = str(input("Text to Send: "))
seed = 1
counter = 1
def do_requests(username, phrase, seed, counter):
url = "https://ngl.link/" + username
while True... | nextgeek05/nglspammer | main.py | main.py | py | 764 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.seed",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"... |
72531941309 | from collections.abc import Callable
from dataclasses import dataclass, field
from typing import Any, Generic, TypeVar
ItemT = TypeVar("ItemT")
@dataclass
class LimitedOrderedStack(Generic[ItemT]):
"""Container designed only to keep the most
relevant items (i.e called max) and drop
everything else
C... | ITISFoundation/osparc-simcore | packages/service-library/src/servicelib/aiohttp/incidents.py | incidents.py | py | 1,801 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "typing.TypeVar",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "typing.Generic",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "collections.abc.Callable",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Any",
... |
6904857544 | import numpy as np
from itertools import product
def read_input(fn):
with open(fn, "r") as f:
enhancement = f.readline().replace("\n", "")
_ = f.readline()
lines = [inp.replace("\n", "") for inp in f.readlines()]
return enhancement, np.array([[s for s in t] for t in lines])
def enhanc... | SRoz/advent-of-code-2021 | day20/day20.py | day20.py | py | 1,261 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.pad",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.pad",
"line_number":... |
34247497036 | # -*- coding: utf-8 -*-
"""
This script fine tunes pretrained BERT model on play store app reviews for sentiment classification
using app ratings as labels.
"""
import datetime
import time
import random
import os
import argparse
import pandas as pd
import numpy as np
from transformers import BertTo... | Taaniya/bert-for-sentiment-classification-pytorch | train.py | train.py | py | 12,477 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "torch.tensor",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "torch.long",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.dat... |
39200564514 | import time
import logic
import pygame
from pygame_widgets import Button
pygame.init()
'''colors'''
# R G B
BLACK = ( 0, 0, 0)
RED = (255, 0, 0)
GREEN = (124, 209, 65)
DARK_BLUE = ( 16, 34, 60)
PINK = (255, 20, 147)
BLUE = (152, 244, 245)
YELLOW = (248,... | 2arian3/Cool-Programming-Challenges | Tic-Tac-Toe/graphics.py | graphics.py | py | 10,667 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.font.SysFont",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.SysFont",... |
41495207194 | """
YAML Parser. Takes in .yml config file and creates a config object used
in other programs.
(C) 2020 Sean Cummins, Drogheda, Ireland
Realeased under the GNU Public License (GPL)
email seancummins16@gmail.com
"""
import yaml
class ConfigurationError(Exception):
pass
class YAML_Configurator():
def __init... | Sean-Cummins/gamma-spectrum-fitting | confParse.py | confParse.py | py | 4,097 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "yaml.safe_load",
"line_number": 26,
"usage_type": "call"
}
] |
31393043894 | """Controller to handle user operations"""
from flask import jsonify
from src.exception.inactive_user_exception import InactiveUserException
from src.exception.invalid_credentials_exception import InvalidCredentialsException
from src.exception.invalid_input import InvalidInput
from src.exception.missing_field_exception... | ecourtial/gmg | src/controller/user_controller.py | user_controller.py | py | 4,223 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "src.service.user_service.UserService",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "src.exception.missing_field_exception.MissingFieldException",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "flask.jsonify",
"line_number": 22,
"usag... |
74197650749 | import logging
from datetime import datetime, timedelta, timezone
import pytimeparse
import os, errno
from django.conf import settings
import shutil
import docker
import humanize
import time
from tno.proccess import ProccessManager
import parsl
from parsl import *
import json
from statistics import mean
from tno.db imp... | linea-it/tno | backend/old_apps/predict/prediction_occultation.py | prediction_occultation.py | py | 72,006 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.ARCHIVE_DIR",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 35,
"usage_type": "name"
},
{
"api_... |
74126510269 | import os
import sys
import pandas as pd
import numpy as np
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import KFold
from sklearn.ensemble import RandomForestRegressor
from qmdesc import ReactivityDescriptorHandler
import time
from rdkit import Chem
from rdkit.Chem import AllChem
impor... | PKUMDL-AI/Reaxtica | DA/predict_DA.py | predict_DA.py | py | 17,439 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "argparse.Argume... |
5921530794 | from flask import Flask, render_template, request, jsonify
import psycopg2
import openai
import config
app = Flask(__name__)
openai.api_key = config.OPENAI_API_KEY
def connect_to_db():
return psycopg2.connect(
host=config.DB_HOST,
database=config.DB_NAME,
user=config.DB_USER,
passwo... | aryanjain9953/gtp_sql | app.py | app.py | py | 4,170 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "openai.api_key",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "config.OPENAI_API_KEY",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "psycopg2.conn... |
1829457116 | #####################################################
# getFromPubAnnotation file for Snorkel #
# This program will allow a file to be passed #
# with PMIDs and PubAnnotation project(s) to be #
# exported into a Snorkel compatible data tables #
# to potentially (or in our case) to be treated as #
# gold-labels ... | jmbanda/snorkelBioMed | pubannotationutils/getfrompubannotation.py | getfrompubannotation.py | py | 3,168 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "urllib2.urlopen",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "string.replace",
"line_numb... |
70097317629 | # author_network.py
import networkx as nx
import matplotlib.pyplot as plt
import pandas as pd
# Load data
def load_and_preprocess_data(filepath):
df = pd.read_csv(filepath)
df['authors'] = df['authors'].apply(lambda x: x.split(',') if isinstance(x, str) else [])
df['citations'] = df['citations'].apply(lambda x:... | IanDxSSXX/DLKG | graph/author.py | author.py | py | 4,611 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "networkx.Graph",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "networkx.number_connected_components",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "ne... |
43634650223 |
from __future__ import division
from __future__ import absolute_import
#typing
#overrides
import torch
from allennlp.training.metrics.metric import Metric
try:
from itertools import izip
except:
izip = zip
class MentionRecall(Metric):
def __init__(self) :
self._num_gold_mentions = 0
... | plasticityai/magnitude | pymagnitude/third_party/allennlp/training/metrics/mention_recall.py | mention_recall.py | py | 1,503 | python | en | code | 1,607 | github-code | 6 | [
{
"api_name": "itertools.izip",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "allennlp.training.metrics.metric.Metric",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "itertools.izip",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": ... |
21884426507 | """Simulate a large CHIME population."""
from frbpoppy import CosmicPopulation, lognormal, Survey
from frbpoppy import pprint, LargePopulation, SurveyPopulation
from joblib import Parallel, delayed
import os
from tqdm import tqdm
N_SRCS = 200
N_DAYS = 50
RATE = 9 # per day
MAX_SIZE = int(N_SRCS / 2)
LARGE_POP = False... | TRASAL/frbpoppy | tests/chime/sim.py | sim.py | py | 2,198 | python | en | code | 26 | github-code | 6 | [
{
"api_name": "frbpoppy.CosmicPopulation",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "frbpoppy.lognormal",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "frbpoppy.lognormal",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "frbpo... |
26392853171 | import logging
ID = "addop"
permission = 3
def notInList(user, userlist):
for name in userlist:
if name.lower() == user.lower():
return False
return True
def execute(self, username, params, channel, userdata, rank):
names = params
for name in names:
if notInList(... | RenolY2/Renol-IRC | commands/addAdmin.py | addAdmin.py | py | 627 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "logging.info",
"line_number": 22,
"usage_type": "call"
}
] |
32639581820 | import unittest
from selenium import webdriver
from selenium.webdriver.common.by import By
class SearchTests(unittest.TestCase):
def setUp(self) -> None:
self.driver = webdriver.Chrome(executable_path='chromedriver')
self.driver.get("https://www.mercadolibre.com")
self.driver.maximize... | yorlysoro/intro_selenium_course | mercadolibre.py | mercadolibre.py | py | 1,686 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sele... |
26113012475 | __authors__ = ["T. Vincent"]
__license__ = "MIT"
__date__ = "21/12/2018"
import logging
import weakref
import numpy
from .. import items
from .._utils import FLOAT32_MINPOS
from . import BackendBase
from ... import colors
from ... import qt
from ..._glutils import gl
from ... import _glutils as glu
from . import gl... | silx-kit/silx | src/silx/gui/plot/backends/BackendOpenGL.py | BackendOpenGL.py | py | 53,380 | python | en | code | 106 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_num... |
72255276348 | from __future__ import annotations
import asyncio
import re
import textwrap
from typing import TYPE_CHECKING, List
import discord
from discord.ext import commands
from utils import BOT_MENTION_RE, get_pokemon
if TYPE_CHECKING:
from bot import Bot
async def setup(bot: Bot):
await bot.add_cog(MessageEvents... | LeoCx1000/fish | src/cogs/events/messages.py | messages.py | py | 2,746 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "bot.Bot",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "bot.add_cog",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Cog",
... |
21813701140 | import cv2
import os
image_folder = './screens'
video_name = 'video.avi'
images = []
for i in range(1, 31640):
images.append(f"image_{i}.jpg")
frame = cv2.imread(os.path.join(image_folder, images[0]))
height, width, layers = frame.shape
video = cv2.VideoWriter(video_name, 0, 120, (width,height))
for image in i... | skcajs/ntnu-artificial-intelligence | reinforcement_learning/deep-q/tmp.py | tmp.py | py | 430 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoWriter",
"line_numb... |
41489808319 | import matplotlib.pyplot as plt
import torch
def plot(rewards, name:str):
# clear_output(True)
plt.figure(figsize=(10,5))
plt.plot(rewards)
plt.savefig(name)
# plt.show()
plt.clf()
plt.close()
import json
def json_read_file(filename):
'''
@brief:
read data from json file... | quantumiracle/Cascading-Decision-Tree | src/utils/common_func.py | common_func.py | py | 720 | python | en | code | 32 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplo... |
70768927228 | #!.env/Scripts/python.exe
__doc__ = '''
Составляем списки словосочетаний по корпусу.
https://www.nltk.org/howto/collocations.html
'''
import logging
import math
from pathlib import Path
import nltk
from nltk.collocations import BigramAssocMeasures, BigramCollocationFinder
from nltk.corpus import stopwords
from nltk.... | fateevda/creating_dataset | 11_collocation.py | 11_collocation.py | py | 3,772 | python | ru | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "nltk.collocations.BigramCollocationFinder",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": ... |
35765386143 | from datetime import datetime
from es.weso.oecdextractor.translator.json_loader import JsonLoader
from es.weso.oecdextractor.translator.path_object_pair import PathObjectPair
from lpentities.computation import Computation
from lpentities.data_source import DataSource
from lpentities.dataset import Dataset
from lpentit... | weso/landportal-importers | OECD_Importer/es/weso/oecdextractor/translator/model_object_builder.py | model_object_builder.py | py | 25,978 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "es.weso.oecdextractor.translator.json_loader.JsonLoader",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "reconciler.country_reconciler.CountryReconciler",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "lpentities.license.License",
"line_nu... |
70542908347 | import pygame
from random import randint
def lixo_show():
for i in range(100):
espaco_lixo.append([randint(1,740), randint(-2500, 0 )])
def movimento_do_lixo():
for i in range(len(espaco_lixo)):
if espaco_lixo[i] != [0, 0]:
espaco_lixo[i][1] += 1
screen.blit(lixo, [esp... | debsk/Games | Game.py | Game.py | py | 2,754 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "random.randint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.image.load",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",... |
12392705019 | import tensorflow as tf # type: ignore[import]
from numpy import array # type: ignore[import]
from numpy import split
from sklearn.metrics import mean_squared_error # type: ignore[import]
from pandas import concat # type: ignore[import]
from pandas import read_csv
from os import path
from typing import List, Any, Tuple... | chanelcolgate/predict-smp | src/models/model.py | model.py | py | 3,681 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,... |
18847898084 | import argparse
def run():
parser = argparse.ArgumentParser()
parser.add_argument('--iops', required=True, type=float, help='iops for 4KiB requests')
parser.add_argument('--bw', required=True, type=float, help='bandwidth for 4MiB requests')
args = parser.parse_args()
i1 = args.iops
i2 = arg... | ydb-platform/nbs | cloud/blockstore/tools/analytics/calculate-perf-settings/__main__.py | __main__.py | py | 533 | python | en | code | 32 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
}
] |
9740768589 | import xml.etree.ElementTree as ET
import os
from datetime import datetime
# Função para criar um novo pedido de produção
def criar_ordem_producao():
try:
produto = str(input("Nome do produto: "))
quantidade = int(input("Quantidade desejada: "))
data_entrega = input("Data de entreg... | dropox3/factorysystem | main.py | main.py | py | 3,955 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "xml.etree.ElementTree.Element",
"line_number": 15,
"usage_type": "call"
},
{
"api_na... |
31244087941 |
from flask import render_template, request
from .utils import read_int_from_form
from . import app
import logging
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
@app.route('/bankdomain/show_words', methods=['GET'], defaults={'min_count': 8})
@app.route('/bankdomain/show... | diegoami/bankdomain_PY | src/web/show_words.py | show_words.py | py | 846 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.render_template",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.rende... |
14654457024 | from pathlib import Path
class MOD:
def __init__(self,file):
self.file=file
def movingObjectDetection(self):
# -*- coding: utf-8 -*-
"""Moving_Object_Detection_in_Videos.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://c... | arorapragya/MovingObjectRecognition | myapp/Moving_object_Detection.py | Moving_object_Detection.py | py | 6,264 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.cvtColor",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2RGB",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
... |
41361223563 | from __future__ import division
import os
import logging
import sys
# If the python binding doesnt work mxnet can be added manually
#sys.path.insert(1, '/work/mxnet/python/')
import mxnet as mx
import numpy as np
from graphviz import ExecutableNotFound
from mxnet import profiler
from mxnet import gluon
import time
... | Alekrom/showcase-projects | MasterThesis/code/ThesisCodeAlexanderKromer/main.py | main.py | py | 13,959 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "shared_weight_network.SharedWeightNetwork",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "mxnet.nd.array",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "mxnet.nd",
"line_number": 68,
"usage_type": "attribute"
},
{
"api_name":... |
29577156700 | # -*- coding: utf-8 -*-
"""
Created on Mon Jul 23 16:17:06 2018
@author: Akitaka
"""
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import mean_absolute_error
from sklearn.metrics import mean_squared_error
from sklearn.metrics import r2_score
def print_gscv... | nakanishi-akitaka/python2018_backup | 0724/my_library.py | my_library.py | py | 2,148 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "numpy.sqrt",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.mean_squared_error",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.mean_absolute_error",
"line_number": 28,
"usage_type": "call"
},
{
... |
36551619231 | import numpy
import matplotlib.pyplot as plt
from random import randrange, sample
covariance = [[1.2, 0], [0, 1.2]] # Spherical covariance
class DataHandler(object):
def get2DGaussian(self, size, mean, covariance=covariance):
x, y = numpy.random.multivariate_normal(mean, covariance, size).T
plt.... | Mustapha-Belkacim/Linear-classifier | DataHandler.py | DataHandler.py | py | 2,712 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.multivariate_normal",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 11,
"usage_type": "call"
},
{
"api_nam... |
33262763355 |
import json
from sklearn.feature_extraction.text import CountVectorizer
config_file = open("/content/big_bot_config.json", "r")
BIG_CONFIG = json.load(config_file)
BIG_CONFIG.keys()
dict_keys(['intents', 'failure_phrases'])
len(BIG_CONFIG["intents"])
X = [] # Фразы
y = [] # Намерения
# Собираем фразы и интенты и... | kuzbassghost/Course | Webinar/Chat2.py | Chat2.py | py | 1,248 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 37,
"usage_type... |
17333258664 | from typing import Iterable, List, Tuple
from common import Item
def save_instance(path: str, pallet_width: int, pallet_height: int, items: Iterable[Item]) -> None:
with open(path, 'w') as file:
print(pallet_width, pallet_height, file=file, sep='\t')
for item in items:
if item.mass is... | yad439/pallet-packing | problem_io.py | problem_io.py | py | 930 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Iterable",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "common.Item",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "common.Item",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "typing.Tuple",
"line_number... |
7751443647 | import datetime
from dateutil import parser
def get_time_diff_days(start, end):
''' Number of days between two dates in UTC format '''
if start is None or end is None:
return None
if type(start) is not datetime.datetime:
start = parser.parse(start).replace(tzinfo=None)
if type(end) i... | timhayduk/glusterDashboard | GrimoireELK/grimoire/elk/utils.py | utils.py | py | 565 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "dateutil.parser.parse",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "dateutil.parser",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "datetime... |
24948245121 | from setuptools import setup, find_packages
version = "0.0.1"
with open("OSS_VERSION", "rt") as f:
mf_version = f.read()
setup(
name="mycompany-metaflow",
version=version,
description="Metaflow Custom Extensions",
author="Your team name",
author_email="team@company.com",
packages=find_pac... | Netflix/metaflow-extensions-template | setup.py | setup.py | py | 609 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 14,
"usage_type": "call"
}
] |
13954400663 |
import matplotlib.pyplot as plt
import numpy as np
if __name__ == "__main__":
x = np.arange(0,10,0.2)
y1 = np.cos(x)
y2 = np.sin(x)
y3 = np.tan(x)
plt.plot(x,y1,'o',linewidth=5,color="y")
plt.plot(x,y2, "*",linewidth=6,color='b')
plt.plot(x,y3, "-",linewidth=3,color='r')
plt.grid()
... | eSwayyy/UCM-projects | python/MatPlotLib/Ejemplo6Multigráficos.py | Ejemplo6Multigráficos.py | py | 451 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.arange",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.tan",
"line_number": 10,
... |
1909089071 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from builtins import open
from builtins import str
from future import standard_library
standard_library.install_aliases()
import http.client
import json
import logging
... | HewlettPackard/python-hpOneView | hpOneView/connection.py | connection.py | py | 24,773 | python | en | code | 86 | github-code | 6 | [
{
"api_name": "future.standard_library.install_aliases",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "future.standard_library",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
... |
72186182907 | def traverse_preorder(tree, operation):
if tree:
operation(tree.get_value())
traverse_preorder(tree.get_left_child(), operation)
traverse_preorder(tree.get_right_child(), operation)
def traverse_inorder(tree, operation):
if tree:
traverse_inorder(tree.get_left_child(), operatio... | codebuff/snippets | trees/Utilities.py | Utilities.py | py | 1,005 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 24,
"usage_type": "call"
}
] |
41669790837 | from datetime import timedelta
from celery import shared_task
from subscription.models import Subscription, Invoice, Customer
from django.utils import timezone
def create_one_invoice(subscription, customer):
Invoice.objects.create(subscription=subscription)
customer.credit -= subscription.unit_price
custo... | mohsenkk/Cloud-Finantial-Structure | apis/tasks.py | tasks.py | py | 1,181 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "subscription.models.Invoice.objects.create",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "subscription.models.Invoice.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "subscription.models.Invoice",
"line_number": 8,
"usage_... |
3135435925 | import igl
import numpy as np
import random
from pathlib import Path
import customconfig
system_props = customconfig.Properties('./system.json')
verts, faces = igl.read_triangle_mesh(
Path(system_props['datasets_path']) / 'data_uni_1000_tee_200527-14-50-42_regen_200612-16-56-43' / 'tee_0BEJ3JZP2O' / 'tee_0BEJ3JZ... | maria-korosteleva/Garment-Pattern-Estimation | nn/utility_scripts/igl_sampling_test.py | igl_sampling_test.py | py | 1,099 | python | en | code | 84 | github-code | 6 | [
{
"api_name": "customconfig.Properties",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "igl.read_triangle_mesh",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "igl.random... |
73835492669 | """
Python to calculate E-field data using 1-minute INTERMAGNET data and a resistive
1-D Quebec ground profile.
The INTERMAGNET data used here is taken from 3 days at the Eskdalemuir observatory.
1-D Z-tensor taken from http://www.digitalearthlab.com/tutorial/tutorial-1d-mt-forward/
"""
import numpy as np
import... | TerminusEst/Auroral_Boundary_Geomag | Efield_CALC.py | Efield_CALC.py | py | 5,892 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.pi",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number"... |
197697623 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import logging
import re
import json
from collections import deque
from kippo_object import LoginAttempt
class KippoParser(object):
def __init__(self):
self.logger = logging.getLogger(__name__)
@staticmethod
def dict_converter(x):
if isinsta... | spartan223193/hungryhungrykippo | hungryhungrykippo/kippoparser.py | kippoparser.py | py | 5,655 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"li... |
32724954352 | from rest_framework import viewsets, mixins
from rest_framework.permissions import IsAuthenticated
from rest_framework.authentication import SessionAuthentication
from rest_framework_simplejwt.authentication import JWTAuthentication
from user_operation.models import UserFav, UserLeavingMessage, UserAddress
from user_o... | xiaocaotest/MxShop | apps/user_operation/views.py | views.py | py | 3,001 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.viewsets.GenericViewSet",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "rest_framework.mixins.ListModelMixin",
"line_number": 12,
"usage_type... |
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